diff --git a/.gitignore b/.gitignore
index 136491a4b8..9597171308 100644
--- a/.gitignore
+++ b/.gitignore
@@ -15,8 +15,9 @@ openmc.egg-info/
 # Inputs generated from Python API
 examples/python/**/*.xml
 
-# emacs backups
+# emacs and vim backups
 *~
+*.swp
 
 # OpenMC statepoints
 *.binary
@@ -24,6 +25,8 @@ examples/python/**/*.xml
 # Documentation builds
 docs/build
 docs/source/_images/*.pdf
+docs/source/_images/*.aux
+docs/source/pythonapi/generated/
 
 # Source build
 build
@@ -41,6 +44,8 @@ results_test.dat
 
 # Test build files
 tests/build/
+tests/coverage/
+tests/memcheck/
 tests/ctestscript.run
 
 # HDF5 files
@@ -53,11 +58,14 @@ src/bin/
 src/cmake_install.cmake
 src/install_manifest.txt
 
-# Data downloaded from NNDC
+# Nuclear data
 data/nndc
+data/wmp
+data/multipole_lib.tar.gz
 
-#Images
+# Images
 *.ppm
+*.voxel
 
 # PyCharm project configuration files
 .idea
@@ -73,4 +81,4 @@ docs/source/pythonapi/examples/*.xls
 docs/source/pythonapi/examples/mgxs
 docs/source/pythonapi/examples/tracks
 docs/source/pythonapi/examples/fission-rates
-docs/source/pythonapi/examples/plots
\ No newline at end of file
+docs/source/pythonapi/examples/plots
diff --git a/.travis.yml b/.travis.yml
index efdc457a11..6aed183a0d 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -27,7 +27,7 @@ before_install:
   - conda config --set always_yes yes --set changeps1 no
   - conda update -q conda
   - conda info -a
-  - conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION numpy scipy h5py pandas
+  - conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION numpy scipy h5py=2.5 pandas
   - source activate test-environment
 
   # Install GCC, MPICH, HDF5, PHDF5
@@ -44,7 +44,10 @@ before_script:
   - git clone --branch=master git://github.com/bhermanmit/nndc_xs nndc_xs
   - cat nndc_xs/nndc.tar.gza* | tar xzvf -
   - rm -rf nndc_xs
-  - export CROSS_SECTIONS=$PWD/nndc/cross_sections.xml
+  - export OPENMC_CROSS_SECTIONS=$PWD/nndc/cross_sections.xml
+  - git clone --branch=master git://github.com/smharper/windowed_multipole_library.git wmp_lib
+  - tar xzvf wmp_lib/multipole_lib.tar.gz
+  - export OPENMC_MULTIPOLE_LIBRARY=$PWD/multipole_lib
   - cd ..
 
 script:
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 5ad537e10a..64eee2e9f5 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -1,5 +1,5 @@
 cmake_minimum_required(VERSION 2.8 FATAL_ERROR)
-project(openmc Fortran)
+project(openmc Fortran C)
 
 # Setup output directories
 set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib)
@@ -107,50 +107,62 @@ if(CMAKE_Fortran_COMPILER_ID STREQUAL GNU)
     message(FATAL_ERROR "gfortran version must be 4.6 or higher")
   endif()
 
-  # GNU Fortran compiler options
+  # GCC compiler options
   list(APPEND f90flags -cpp -std=f2008 -fbacktrace)
+  list(APPEND cflags -cpp -std=c99)
   if(debug)
     if(NOT (GCC_VERSION VERSION_LESS 4.7))
       list(APPEND f90flags -Wall)
+      list(APPEND cflags -Wall)
     endif()
     list(APPEND f90flags -g -pedantic -fbounds-check
       -ffpe-trap=invalid,overflow,underflow)
+    list(APPEND cflags -g -pedantic -fbounds-check)
     list(APPEND ldflags -g)
   endif()
   if(profile)
     list(APPEND f90flags -pg)
+    list(APPEND cflags -pg)
     list(APPEND ldflags -pg)
   endif()
   if(optimize)
     list(APPEND f90flags -O3)
+    list(APPEND cflags -O3)
   endif()
   if(openmp)
     list(APPEND f90flags -fopenmp)
+    list(APPEND cflags -fopenmp)
     list(APPEND ldflags -fopenmp)
   endif()
   if(coverage)
     list(APPEND f90flags -coverage)
+    list(APPEND cflags -coverage)
     list(APPEND ldflags -coverage)
   endif()
 
 elseif(CMAKE_Fortran_COMPILER_ID STREQUAL Intel)
-  # Intel Fortran compiler options
+  # Intel compiler options
   list(APPEND f90flags -fpp -std08 -assume byterecl -traceback)
+  list(APPEND cflags -std=c99)
   if(debug)
     list(APPEND f90flags -g -warn -ftrapuv -fp-stack-check
       "-check all" -fpe0)
+    list(APPEND cflags -g -w3 -ftrapuv -fp-stack-check)
     list(APPEND ldflags -g)
   endif()
   if(profile)
     list(APPEND f90flags -pg)
+    list(APPEND cflags -pg)
     list(APPEND ldflags -pg)
   endif()
   if(optimize)
     list(APPEND f90flags -O3)
+    list(APPEND cflags -O3)
   endif()
   if(openmp)
-    list(APPEND f90flags -openmp)
-    list(APPEND ldflags -openmp)
+    list(APPEND f90flags -qopenmp)
+    list(APPEND cflags -qopenmp)
+    list(APPEND ldflags -qopenmp)
   endif()
 
 elseif(CMAKE_Fortran_COMPILER_ID STREQUAL PGI)
@@ -243,6 +255,12 @@ add_subdirectory(src/xml/fox)
 # which point to directories outside the build tree to the install RPATH
 set(CMAKE_INSTALL_RPATH_USE_LINK_PATH TRUE)
 
+#===============================================================================
+# Build faddeeva library
+#===============================================================================
+
+add_library(faddeeva STATIC src/Faddeeva.c)
+
 #===============================================================================
 # Build OpenMC executable
 #===============================================================================
@@ -263,11 +281,14 @@ endif()
 # set compile flags. Note that this sets the COMPILE_OPTIONS property (also
 # available only in 2.8.12+) rather than the COMPILE_FLAGS property, which is
 # deprecated. The former can handle lists whereas the latter cannot.
-if(CMAKE_VERSION VERSION_LESS 4.8.12)
+if (CMAKE_VERSION VERSION_LESS 2.8.12)
   string(REPLACE ";" " " f90flags "${f90flags}")
+  string(REPLACE ";" " " cflags "${cflags}")
   set_property(TARGET ${program} PROPERTY COMPILE_FLAGS "${f90flags}")
+  set_property(TARGET faddeeva PROPERTY COMPILE_FLAGS "${cflags}")
 else()
   target_compile_options(${program} PUBLIC ${f90flags})
+  target_compile_options(faddeeva PRIVATE ${cflags})
 endif()
 
 # Add HDF5 library directories to link line with -L
@@ -277,7 +298,7 @@ endforeach()
 
 # target_link_libraries treats any arguments starting with - but not -l as
 # linker flags. Thus, we can pass both linker flags and libraries together.
-target_link_libraries(${program} ${ldflags} ${HDF5_LIBRARIES} fox_dom)
+target_link_libraries(${program} ${ldflags} ${HDF5_LIBRARIES} fox_dom faddeeva)
 
 #===============================================================================
 # Install executable, scripts, manpage, license
@@ -296,6 +317,7 @@ if(PYTHONINTERP_FOUND)
                     --root=debian/openmc --install-layout=deb
                     WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR})")
   else()
+    install(CODE "set(ENV{PYTHONPATH} \"${CMAKE_INSTALL_PREFIX}/lib/python${PYTHON_VERSION_MAJOR}.${PYTHON_VERSION_MINOR}/site-packages\")")
     install(CODE "execute_process(
                     COMMAND ${PYTHON_EXECUTABLE} setup.py install
                     --prefix=${CMAKE_INSTALL_PREFIX}
@@ -313,113 +335,36 @@ include(CTest)
 # Get a list of all the tests to run
 file(GLOB_RECURSE TESTS ${CMAKE_CURRENT_SOURCE_DIR}/tests/test_*.py)
 
-# Check for MEM_CHECK and COVERAGE variables
-if (DEFINED ENV{MEM_CHECK})
-  set(MEM_CHECK $ENV{MEM_CHECK})
-else(DEFINED ENV{MEM_CHECK})
-  set(MEM_CHECK FALSE)
-endif(DEFINED ENV{MEM_CHECK})
-if (DEFINED ENV{COVERAGE})
-  set(COVERAGE $ENV{COVERAGE})
-else(DEFINED ENV{COVERAGE})
-  set(COVERAGE FALSE)
-endif(DEFINED ENV{COVERAGE})
-
 # Loop through all the tests
 foreach(test ${TESTS})
-
   # Get test information
   get_filename_component(TEST_NAME ${test} NAME)
   get_filename_component(TEST_PATH ${test} PATH)
 
-  # Check for running standard tests (no valgrind, no gcov)
-  if(NOT ${MEM_CHECK} AND NOT ${COVERAGE})
+  if (DEFINED ENV{MEM_CHECK})
+    # Generate input files if needed
+    if (NOT EXISTS "${TEST_PATH}/geometry.xml")
+      execute_process(COMMAND ${PYTHON_EXECUTABLE} ${TEST_NAME} --build-inputs
+        WORKING_DIRECTORY ${TEST_PATH})
+    endif()
 
+    # Add serial test
+    add_test(NAME ${TEST_NAME}
+      WORKING_DIRECTORY ${TEST_PATH}
+      COMMAND $<TARGET_FILE:openmc>)
+  else()
     # Check serial/parallel
     if (${MPI_ENABLED})
-
       # Preform a parallel test
       add_test(NAME ${TEST_NAME}
         WORKING_DIRECTORY ${TEST_PATH}
         COMMAND ${PYTHON_EXECUTABLE} ${TEST_NAME} --exe $<TARGET_FILE:openmc>
         --mpi_exec $ENV{MPI_DIR}/bin/mpiexec)
-
-    else(${MPI_ENABLED})
-
+    else()
       # Perform a serial test
       add_test(NAME ${TEST_NAME}
         WORKING_DIRECTORY ${TEST_PATH}
         COMMAND ${PYTHON_EXECUTABLE} ${TEST_NAME} --exe $<TARGET_FILE:openmc>)
-
-    endif(${MPI_ENABLED})
-
-  # Handle special case for valgrind and gcov (run openmc directly, no python)
-  else(NOT ${MEM_CHECK} AND NOT ${COVERAGE})
-
-    # If a plot test is encountered, run with "-p"
-    if (${test} MATCHES "test_plot")
-
-      # Perform serial valgrind and coverage test with plot flag
-      add_test(NAME ${TEST_NAME}
-        WORKING_DIRECTORY ${TEST_PATH}
-        COMMAND $<TARGET_FILE:openmc> -p ${TEST_PATH})
-
-    elseif(${test} MATCHES "test_filter_distribcell")
-
-      # Add each case for distribcell tests
-      add_test(NAME ${TEST_NAME}_case-1
-        WORKING_DIRECTORY ${TEST_PATH}/case-1
-        COMMAND $<TARGET_FILE:openmc> ${TEST_PATH}/case-1)
-      add_test(NAME ${TEST_NAME}_case-2
-        WORKING_DIRECTORY ${TEST_PATH}/case-2
-        COMMAND $<TARGET_FILE:openmc> ${TEST_PATH}/case-2)
-      add_test(NAME ${TEST_NAME}_case-3
-        WORKING_DIRECTORY ${TEST_PATH}/case-3
-        COMMAND $<TARGET_FILE:openmc> ${TEST_PATH}/case-3)
-      add_test(NAME ${TEST_NAME}_case-4
-        WORKING_DIRECTORY ${TEST_PATH}/case-4
-        COMMAND $<TARGET_FILE:openmc> ${TEST_PATH}/case-4)
-
-    # If a restart test is encounted, need to run with -r and restart file(s)
-    elseif(${test} MATCHES "restart")
-
-      # Handle restart tests separately
-      if(${test} MATCHES "test_statepoint_restart")
-        set(RESTART_FILE statepoint.07.h5)
-      elseif(${test} MATCHES "test_sourcepoint_restart")
-        set(RESTART_FILE statepoint.07.h5 source.07.h5)
-      elseif(${test} MATCHES "test_particle_restart_eigval")
-        set(RESTART_FILE particle_9_555.h5)
-      elseif(${test} MATCHES "test_particle_restart_fixed")
-        set(RESTART_FILE particle_7_928.h5)
-      else(${test} MATCHES "test_statepoint_restart")
-        message(FATAL_ERROR "Restart test ${test} not recognized")
-      endif(${test} MATCHES "test_statepoint_restart")
-
-      # Perform serial valgrind and coverage test
-      add_test(NAME ${TEST_NAME}
-        WORKING_DIRECTORY ${TEST_PATH}
-        COMMAND $<TARGET_FILE:openmc> ${TEST_PATH})
-
-      # Perform serial valgrind and coverage restart test
-      add_test(NAME ${TEST_NAME}_restart
-        WORKING_DIRECTORY ${TEST_PATH}
-        COMMAND $<TARGET_FILE:openmc> -r ${RESTART_FILE} ${TEST_PATH})
-
-      # Set test dependency
-      set_tests_properties(${TEST_NAME}_restart PROPERTIES DEPENDS ${TEST_NAME})
-
-
-    # Handle standard tests for valgrind and gcov
-    else(${test} MATCHES "test_plot")
-
-      # Perform serial valgrind and coverage test
-      add_test(NAME ${TEST_NAME}
-        WORKING_DIRECTORY ${TEST_PATH}
-        COMMAND $<TARGET_FILE:openmc> ${TEST_PATH})
-
-    endif(${test} MATCHES "test_plot")
-
-  endif(NOT ${MEM_CHECK} AND NOT ${COVERAGE})
-
+    endif()
+  endif()
 endforeach(test)
diff --git a/LICENSE b/LICENSE
index f009376324..fe18b53f9f 100644
--- a/LICENSE
+++ b/LICENSE
@@ -1,4 +1,4 @@
-Copyright (c) 2011-2015 Massachusetts Institute of Technology
+Copyright (c) 2011-2016 Massachusetts Institute of Technology
 
 Permission is hereby granted, free of charge, to any person obtaining a copy of
 this software and associated documentation files (the "Software"), to deal in
diff --git a/data/get_multipole_data.py b/data/get_multipole_data.py
new file mode 100755
index 0000000000..d51c196dcc
--- /dev/null
+++ b/data/get_multipole_data.py
@@ -0,0 +1,125 @@
+#!/usr/bin/env python
+
+from __future__ import print_function
+import os
+import shutil
+import subprocess
+import sys
+import tarfile
+import glob
+import hashlib
+import argparse
+
+parser = argparse.ArgumentParser()
+parser.add_argument('-b', '--batch', action='store_true',
+                    help='supresses standard in')
+args = parser.parse_args()
+
+try:
+    from urllib.request import urlopen
+except ImportError:
+    from urllib2 import urlopen
+
+cwd = os.getcwd()
+sys.path.insert(0, os.path.join(cwd, '..'))
+
+baseUrl = 'https://github.com/smharper/windowed_multipole_library/blob/master/'
+files = ['multipole_lib.tar.gz?raw=true']
+checksums = ['3985aea96f7162a9419c7ed8352e6abb']
+block_size = 16384
+
+# ==============================================================================
+# DOWNLOAD FILES FROM GITHUB REPO
+
+filesComplete = []
+for f in files:
+    # Establish connection to URL
+    url = baseUrl + f
+    req = urlopen(url)
+
+    # Get file size from header
+    if sys.version_info[0] < 3:
+        file_size = int(req.info().getheaders('Content-Length')[0])
+    else:
+        file_size = req.length
+    downloaded = 0
+
+    # Remove GitHub junk from the file name.
+    fname = f[:-9] if f.endswith('?raw=true') else f
+
+    # Check if file already downloaded
+    if os.path.exists(fname):
+        if os.path.getsize(fname) == file_size:
+            print('Skipping ' + fname)
+            filesComplete.append(fname)
+            continue
+        else:
+            if sys.version_info[0] < 3:
+                overwrite = raw_input('Overwrite {0}? ([y]/n) '.format(fname))
+            else:
+                overwrite = input('Overwrite {0}? ([y]/n) '.format(fname))
+            if overwrite.lower().startswith('n'):
+                continue
+
+    # Copy file to disk
+    print('Downloading {0}... '.format(f), end='')
+    with open(fname, 'wb') as fh:
+        while True:
+            chunk = req.read(block_size)
+            if not chunk: break
+            fh.write(chunk)
+            downloaded += len(chunk)
+            status = '{0:10}  [{1:3.2f}%]'.format(downloaded, downloaded * 100. / file_size)
+            print(status + chr(8)*len(status), end='')
+        print('')
+        filesComplete.append(fname)
+
+# ==============================================================================
+# VERIFY MD5 CHECKSUMS
+
+print('Verifying MD5 checksums...')
+for f, checksum in zip(files, checksums):
+    fname = f[:-9] if f.endswith('?raw=true') else f
+    downloadsum = hashlib.md5(open(fname, 'rb').read()).hexdigest()
+    if downloadsum != checksum:
+        raise IOError("MD5 checksum for {} does not match. If this is your first "
+                      "time receiving this message, please re-run the script. "
+                      "Otherwise, please contact OpenMC developers by emailing "
+                      "openmc-users@googlegroups.com.".format(f))
+
+# ==============================================================================
+# EXTRACT FILES FROM TGZ
+
+for f in files:
+    fname = f[:-9] if f.endswith('?raw=true') else f
+    if fname not in filesComplete:
+        continue
+
+    # Extract files
+    with tarfile.open(fname, 'r') as tgz:
+        print('Extracting {0}...'.format(fname))
+        tgz.extractall(path='wmp/')
+
+# Move data files down one level
+for filename in glob.glob('wmp/multipole_lib/*'):
+    shutil.move(filename, 'wmp/')
+os.rmdir('wmp/multipole_lib')
+
+# ==============================================================================
+# PROMPT USER TO DELETE .TAR.GZ FILES
+
+# Ask user to delete
+if not args.batch:
+    if sys.version_info[0] < 3:
+        response = raw_input('Delete *.tar.gz files? ([y]/n) ')
+    else:
+        response = input('Delete *.tar.gz files? ([y]/n) ')
+else:
+    response = 'y'
+
+# Delete files if requested
+if not response or response.lower().startswith('y'):
+    for f in files:
+        if os.path.exists(f):
+            print('Removing {0}...'.format(f))
+            os.remove(f)
diff --git a/data/get_nndc_data.py b/data/get_nndc_data.py
index 18c94dd64f..b9b855a812 100755
--- a/data/get_nndc_data.py
+++ b/data/get_nndc_data.py
@@ -11,8 +11,8 @@ import hashlib
 import argparse
 
 parser = argparse.ArgumentParser()
-parser.add_argument('-b', '--batch', action = 'store_true',
-                    help = 'supresses standard in')
+parser.add_argument('-b', '--batch', action='store_true',
+                    help='supresses standard in')
 args = parser.parse_args()
 
 try:
@@ -84,13 +84,13 @@ for f, checksum in zip(files, checksums):
         raise IOError("MD5 checksum for {} does not match. If this is your first "
                       "time receiving this message, please re-run the script. "
                       "Otherwise, please contact OpenMC developers by emailing "
-                      "openmc-users@googlegroups.com.")
+                      "openmc-users@googlegroups.com.".format(f))
 
 # ==============================================================================
 # EXTRACT FILES FROM TGZ
 
 for f in files:
-    if not f in filesComplete:
+    if f not in filesComplete:
         continue
 
     # Extract files
diff --git a/docs/Makefile b/docs/Makefile
index 89c71dc074..e84aadd33c 100644
--- a/docs/Makefile
+++ b/docs/Makefile
@@ -17,6 +17,8 @@ ALLSPHINXOPTS   = -d $(BUILDDIR)/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) sou
 SVG2PDF = inkscape
 PDFS    = $(patsubst %.svg,%.pdf,$(wildcard $(IMAGEDIR)/*.svg))
 
+# Tikz to PNG conversion
+PNGS = $(patsubst %.tex,%.png,$(wildcard $(IMAGEDIR)/*.tex))
 
 .PHONY: help images clean html dirhtml singlehtml pickle json htmlhelp qthelp devhelp epub latex latexpdf text man changes linkcheck doctest
 
@@ -43,8 +45,13 @@ help:
 %.pdf: %.svg
 	$(SVG2PDF) -f $< -A $@
 
+%.png: %.tex
+	pdflatex --interaction=nonstopmode --output-directory=$(IMAGEDIR) $<
+	pdftoppm -r 120 -singlefile $(patsubst %.tex,%.pdf, $<) $(basename $<)
+	convert -trim -fuzz 2% -transparent white $(patsubst %.tex,%.ppm,$<) $@
+
 # Rule to build PDFs
-images: $(PDFS)
+images: $(PDFS) $(PNGS)
 
 clean:
 	-rm -rf $(BUILDDIR)/*
diff --git a/docs/requirements-rtd.txt b/docs/requirements-rtd.txt
new file mode 100644
index 0000000000..652f880ff8
--- /dev/null
+++ b/docs/requirements-rtd.txt
@@ -0,0 +1,2 @@
+sphinx-numfig
+jupyter
diff --git a/docs/source/_images/cmfd_flow.png b/docs/source/_images/cmfd_flow.png
new file mode 100644
index 0000000000..078f1a4bf8
Binary files /dev/null and b/docs/source/_images/cmfd_flow.png differ
diff --git a/docs/source/methods/cmfd_tikz/cmfd_flow.tikz b/docs/source/_images/cmfd_flow.tex
similarity index 76%
rename from docs/source/methods/cmfd_tikz/cmfd_flow.tikz
rename to docs/source/_images/cmfd_flow.tex
index 0611918052..4f673b0d77 100644
--- a/docs/source/methods/cmfd_tikz/cmfd_flow.tikz
+++ b/docs/source/_images/cmfd_flow.tex
@@ -1,3 +1,12 @@
+\documentclass{standalone}
+\usepackage[utf8]{inputenc}
+\usepackage{amsmath}
+\usepackage{tikz}
+\usepackage{pgfplots}
+\pgfplotsset{compat=1.11}
+\usetikzlibrary{shapes,snakes,shadows,arrows,calc,decorations.markings,patterns,fit,matrix,spy}
+\pagestyle{empty}
+\begin{document}
 \begin{tikzpicture}
 	\matrix[every node/.style={draw, thick, minimum width=3cm, minimum height=1cm, align=center}, column sep=2cm, row sep=1cm] (m) {
 \node[draw, fill=red!40] (start) {Batch $i$ \\ tally NDA}; & \\
@@ -16,4 +25,5 @@
 		\draw (modify.north)  --  (end.south);
     \end{scope}
 
-\end{tikzpicture}
\ No newline at end of file
+\end{tikzpicture}
+\end{document}
diff --git a/docs/source/_images/meshfig.png b/docs/source/_images/meshfig.png
new file mode 100644
index 0000000000..c84becf3a0
Binary files /dev/null and b/docs/source/_images/meshfig.png differ
diff --git a/docs/source/methods/cmfd_tikz/meshfig.tikz b/docs/source/_images/meshfig.tex
similarity index 99%
rename from docs/source/methods/cmfd_tikz/meshfig.tikz
rename to docs/source/_images/meshfig.tex
index 1e5bbfa476..d710107cde 100644
--- a/docs/source/methods/cmfd_tikz/meshfig.tikz
+++ b/docs/source/_images/meshfig.tex
@@ -1,10 +1,20 @@
+\documentclass[tikz]{standalone}
+\usepackage[utf8]{inputenc}
+\usepackage{amsmath}
+\usepackage{tikz}
+\usepackage{pgfplots}
+\pgfplotsset{compat=1.11}
+\usetikzlibrary{shapes,snakes,shadows,arrows,calc,decorations.markings,patterns,fit,matrix,spy}
+\usepackage{fixltx2e}
+\pagestyle{empty}
+\begin{document}
 
     % these dimensions are determined in arrow_dimms.ods
 
     \def\scale{1.0}
 
     \def\latWidth{0.2808363589*\scale}
-    
+
     \def\RPVOR{3*\scale}
     \def\rectW{0.75*\scale}
     \def\RPVIR{2.8694005485*\scale}
@@ -20,7 +30,7 @@
     \def\bafMIRy{1.5445999739*\scale}
     \def\bafMORx{1.8544620609*\scale}
     \def\bafMORy{1.573625702*\scale}
-    
+
     \tikzset{Assembly/.style={
         inner sep=0pt,
         text width=\latWidth in,
@@ -29,13 +39,13 @@
         align=center
         }
     }
-    
+
     \def\tkzRPV{(0,0) circle (\RPVIR) (0,0) circle (\RPVOR)}
     \def\tkzBarrel{(0,0) circle (\BarrelIR) (0,0) circle (\BarrelOR)}
     \def\tkzShields{(0,0) circle (\BarrelOR) (0,0) circle (\ShieldOR)}
-    
+
     \def\tkzBaffCOR{(-\bafCORx, -\bafCORy) rectangle (\bafCORx, \bafCORy)}
-    \def\tkzBaffCIR{(-\bafCIRx, -\bafCIRy) rectangle (\bafCIRx, \bafCIRy)} 
+    \def\tkzBaffCIR{(-\bafCIRx, -\bafCIRy) rectangle (\bafCIRx, \bafCIRy)}
     \def\tkzBaffMOR{(-\bafMORx, -\bafMORy) rectangle (\bafMORx, \bafMORy)}
     \def\tkzBaffMIR{(-\bafMIRx, -\bafMIRy) rectangle (\bafMIRx, \bafMIRy) }
     \def\tkzBaffleC{ \tkzBaffCIR \tkzBaffCOR }
@@ -53,7 +63,7 @@
       \begin{tikzpicture}[x=1in,y=1in, xshift=3in]
 \scalebox{0.6}{
         % draw RPV, barrel, and shield panels
-        
+
         \path[fill=black,even odd rule] \tkzRPV;
         \path[fill=black,even odd rule] \tkzBarrel;
         \begin{scope}
@@ -61,9 +71,9 @@
           \path[fill=black,even odd rule] \tkzShields;
         \end{scope}
 
-        
+
         % draw assembly row/column headers
-        
+
         \draw[red, thick] ($(-7*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {R} -- ($(-7*\latWidth,4*\latWidth)$);
         \draw[red, thick] ($(-6*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {P} -- ($(-6*\latWidth,6*\latWidth)$);
         \draw[red, thick] ($(-5*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {N} -- ($(-5*\latWidth,7*\latWidth)$);
@@ -79,7 +89,7 @@
         \draw[red, thick] ($(5*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {C} -- ($(5*\latWidth,7*\latWidth)$);
         \draw[red, thick] ($(6*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {B} -- ($(6*\latWidth,6*\latWidth)$);
         \draw[red, thick] ($(7*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {A} -- ($(7*\latWidth,4*\latWidth)$);
-        
+
         \begin{scope}[rotate=90]
           \draw[red, thick] ($(-7*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[left, anchor=east] {15} -- ($(-7*\latWidth,4*\latWidth)$);
           \draw[red, thick] ($(-6*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[left, anchor=east] {14} -- ($(-6*\latWidth,6*\latWidth)$);
@@ -97,7 +107,7 @@
           \draw[red, thick] ($(6*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[left, anchor=east] {2} -- ($(6*\latWidth,6*\latWidth)$);
           \draw[red, thick] ($(7*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[left, anchor=east] {1} -- ($(7*\latWidth,4*\latWidth)$);
         \end{scope}
-        
+
         % draw fuel assembly nodes
         \node [Assembly, fill=\lightgray, opacity=0.3] at ($(-8*\latWidth,8*\latWidth)$) {};
         \node [Assembly, fill=\lightgray, opacity=0.3] at ($(-7*\latWidth,8*\latWidth)$) {};
@@ -116,7 +126,7 @@
         \node [Assembly, fill=\lightgray, opacity=0.3] at ($( 6*\latWidth,8*\latWidth)$) {};
         \node [Assembly, fill=\lightgray, opacity=0.3] at ($( 7*\latWidth,8*\latWidth)$) {};
         \node [Assembly, fill=\lightgray, opacity=0.3] at ($( 8*\latWidth,8*\latWidth)$) {};
-        
+
         \node [Assembly, fill=\lightgray, opacity=0.3] at ($(-8*\latWidth,7*\latWidth)$) {};
         \node [Assembly, fill=\lightgray, opacity=0.3] at ($(-7*\latWidth,7*\latWidth)$) {};
         \node [Assembly, fill=\lightgray, opacity=0.3] at ($(-6*\latWidth,7*\latWidth)$) {};
@@ -581,7 +591,7 @@
         \node [Assembly, fill=\lightgray, opacity=0.3] at ($( 6*\latWidth,-7*\latWidth)$) {};
         \node [Assembly, fill=\lightgray, opacity=0.3] at ($( 7*\latWidth,-7*\latWidth)$) {};
         \node [Assembly, fill=\lightgray, opacity=0.3] at ($( 8*\latWidth,-7*\latWidth)$) {};
-        
+
         \node [Assembly, fill=\lightgray, opacity=0.3] at ($(-8*\latWidth,-8*\latWidth)$) {};
         \node [Assembly, fill=\lightgray, opacity=0.3] at ($(-7*\latWidth,-8*\latWidth)$) {};
         \node [Assembly, fill=\lightgray, opacity=0.3] at ($(-6*\latWidth,-8*\latWidth)$) {};
@@ -601,7 +611,7 @@
         \node [Assembly, fill=\lightgray, opacity=0.3] at ($( 8*\latWidth,-8*\latWidth)$) {};
 
         % draw baffle north/south
-        
+
         \begin{scope}[even odd rule]
           \clip[rotate=90] \tkzBaffMClip;
           \path[fill=black] \tkzBaffleC;
@@ -611,9 +621,9 @@
           \clip \tkzBaffMClip;
           \path[fill=black, rotate=90] \tkzBaffleM;
         \end{scope}
-        
+
         % draw baffle east/west
-        
+
         \begin{scope}[rotate=90]
           \begin{scope}[even odd rule]
             \clip[rotate=90] \tkzBaffMClip;
@@ -626,3 +636,4 @@
           \end{scope}
         \end{scope}}
       \end{tikzpicture}
+\end{document}
diff --git a/docs/source/_images/openmc200px.png b/docs/source/_images/openmc200px.png
new file mode 100644
index 0000000000..3997c6baa0
Binary files /dev/null and b/docs/source/_images/openmc200px.png differ
diff --git a/docs/source/_static/theme_overrides.css b/docs/source/_static/theme_overrides.css
new file mode 100644
index 0000000000..7c1a520223
--- /dev/null
+++ b/docs/source/_static/theme_overrides.css
@@ -0,0 +1,10 @@
+/* override table width restrictions */
+.wy-table-responsive table td, .wy-table-responsive table th {
+    white-space: normal;
+}
+
+.wy-table-responsive {
+    margin-bottom: 24px;
+    max-width: 100%;
+    overflow: visible;
+}
diff --git a/docs/source/_templates/myclass.rst b/docs/source/_templates/myclass.rst
new file mode 100644
index 0000000000..a0560f93a3
--- /dev/null
+++ b/docs/source/_templates/myclass.rst
@@ -0,0 +1,7 @@
+{{ fullname }}
+{{ underline }}
+
+.. currentmodule:: {{ module }}
+
+.. autoclass:: {{ objname }}
+    :members:
diff --git a/docs/source/_templates/myclassinherit.rst b/docs/source/_templates/myclassinherit.rst
new file mode 100644
index 0000000000..ed93a29669
--- /dev/null
+++ b/docs/source/_templates/myclassinherit.rst
@@ -0,0 +1,8 @@
+{{ fullname }}
+{{ underline }}
+
+.. currentmodule:: {{ module }}
+
+.. autoclass:: {{ objname }}
+    :members:
+    :inherited-members:
diff --git a/docs/source/_templates/myfunction.rst b/docs/source/_templates/myfunction.rst
new file mode 100644
index 0000000000..4d7ea38a18
--- /dev/null
+++ b/docs/source/_templates/myfunction.rst
@@ -0,0 +1,6 @@
+{{ fullname }}
+{{ underline }}
+
+.. currentmodule:: {{ module }}
+
+.. autofunction:: {{ objname }}
diff --git a/docs/source/conf.py b/docs/source/conf.py
index 118ff2c03b..cb43079e37 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -13,6 +13,21 @@
 
 import sys, os
 
+# Determine if we're on Read the Docs server
+on_rtd = os.environ.get('READTHEDOCS', None) == 'True'
+
+# On Read the Docs, we need to mock a few third-party modules so we don't get
+# ImportErrors when building documentation
+try:
+    from unittest.mock import MagicMock
+except ImportError:
+    from mock import Mock as MagicMock
+
+
+MOCK_MODULES = ['numpy', 'h5py', 'pandas', 'opencg']
+sys.modules.update((mod_name, MagicMock()) for mod_name in MOCK_MODULES)
+
+
 # If extensions (or modules to document with autodoc) are in another directory,
 # add these directories to sys.path here. If the directory is relative to the
 # documentation root, use os.path.abspath to make it absolute, like shown here.
@@ -26,9 +41,10 @@ sys.path.insert(0, os.path.abspath('../..'))
 # coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
 extensions = ['sphinx.ext.autodoc',
               'sphinx.ext.napoleon',
-              'sphinx.ext.pngmath',
+              'sphinx.ext.mathjax',
               'sphinx.ext.autosummary',
-              'sphinxcontrib.tikz',
+              'sphinx.ext.intersphinx',
+              'sphinx.ext.viewcode',
               'sphinx_numfig',
               'notebook_sphinxext']
 
@@ -46,16 +62,16 @@ master_doc = 'index'
 
 # General information about the project.
 project = u'OpenMC'
-copyright = u'2011-2015, Massachusetts Institute of Technology'
+copyright = u'2011-2016, Massachusetts Institute of Technology'
 
 # The version info for the project you're documenting, acts as replacement for
 # |version| and |release|, also used in various other places throughout the
 # built documents.
 #
 # The short X.Y version.
-version = "0.7"
+version = "0.8"
 # The full version, including alpha/beta/rc tags.
-release = "0.7.1"
+release = "0.8.0"
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
@@ -103,21 +119,13 @@ pygments_style = 'tango'
 
 # -- Options for HTML output ---------------------------------------------------
 
-# The theme to use for HTML and HTML Help pages.  Major themes that come with
-# Sphinx are currently 'default' and 'sphinxdoc'.
-html_theme = 'haiku'
-#html_theme = 'altered_nature'
-#html_theme = 'sphinxdoc'
+# The theme to use for HTML and HTML Help pages
+if not on_rtd:
+    import sphinx_rtd_theme
+    html_theme = 'sphinx_rtd_theme'
+    html_theme_path = [sphinx_rtd_theme.get_html_theme_path()]
 
-# Theme options are theme-specific and customize the look and feel of a theme
-# further.  For a list of options available for each theme, see the
-# documentation.
-html_theme_options = {'full_logo': True,
-                      'linkcolor': '#0c3762',
-                      'visitedlinkcolor': '#0c3762'}
-
-# Add any paths that contain custom themes here, relative to this directory.
-#html_theme_path = ["_theme"]
+html_logo = '_images/openmc200px.png'
 
 # The name for this set of Sphinx documents.  If None, it defaults to
 # "<project> v<release> documentation".
@@ -126,10 +134,6 @@ html_title = "OpenMC Documentation"
 # A shorter title for the navigation bar.  Default is the same as html_title.
 #html_short_title = None
 
-# The name of an image file (relative to this directory) to place at the top
-# of the sidebar.
-html_logo = '_images/openmc.png'
-
 # The name of an image file (within the static path) to use as favicon of the
 # docs.  This file should be a Windows icon file (.ico) being 16x16 or 32x32
 # pixels large.
@@ -138,7 +142,10 @@ html_logo = '_images/openmc.png'
 # Add any paths that contain custom static files (such as style sheets) here,
 # relative to this directory. They are copied after the builtin static files,
 # so a file named "default.css" will overwrite the builtin "default.css".
-#html_static_path = ['_static']
+html_static_path = ['_static']
+
+def setup(app):
+    app.add_stylesheet('theme_overrides.css')
 
 # If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
 # using the given strftime format.
@@ -231,4 +238,12 @@ latex_elements = {
 #Autodocumentation Flags
 #autodoc_member_order = "groupwise"
 #autoclass_content = "both"
-#autosummary_generate = []
+autosummary_generate = True
+
+napoleon_use_ivar = True
+
+intersphinx_mapping = {
+    'python': ('https://docs.python.org/3', None),
+    'numpy': ('http://docs.scipy.org/doc/numpy/', None),
+    'pandas': ('http://pandas.pydata.org/pandas-docs/stable/', None)
+}
diff --git a/docs/source/devguide/docbuild.rst b/docs/source/devguide/docbuild.rst
index 4c62ca179f..079a69a2c0 100644
--- a/docs/source/devguide/docbuild.rst
+++ b/docs/source/devguide/docbuild.rst
@@ -12,15 +12,8 @@ is via pip:
 
     sudo pip install sphinx
 
-Additionally, you will also need two Sphinx extensions for TikZ support and
-numbering figures. The sphinxcontrib-tikz_ package should be installed directly
-from the git repository as such:
-
-.. code-block:: sh
-
-   sudo pip install https://bitbucket.org/philexander/tikz/get/HEAD.tar.gz
-
-The Numfig_ package can be installed directly with pip:
+Additionally, you will also need a Sphinx extension for numbering figures. The
+Numfig_ package can be installed directly with pip:
 
 .. code-block:: sh
 
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 8dba920161..413107c343 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -4,19 +4,23 @@ The OpenMC Monte Carlo Code
 
 OpenMC is a Monte Carlo particle transport simulation code focused on neutron
 criticality calculations. It is capable of simulating 3D models based on
-constructive solid geometry with second-order surfaces. The particle interaction
-data is based on ACE format cross sections, also used in the MCNP and Serpent
-Monte Carlo codes.
+constructive solid geometry with second-order surfaces. OpenMC supports either
+continuous-energy or multi-group transport.  The continuous-energy
+particle interaction data is based on ACE format cross sections, also used
+in the MCNP and Serpent Monte Carlo codes.
 
 OpenMC was originally developed by members of the `Computational Reactor Physics
 Group`_ at the `Massachusetts Institute of Technology`_ starting
 in 2011. Various universities, laboratories, and other organizations now
 contribute to the development of OpenMC. For more information on OpenMC, feel
-free to send a message to the User's Group `mailing list`_.
+free to send a message to the User's Group `mailing list`_. Documentation for
+the latest developmental version of the develop branch can be found on
+`Read the Docs`_.
 
 .. _Computational Reactor Physics Group: http://crpg.mit.edu
 .. _Massachusetts Institute of Technology: http://web.mit.edu
 .. _mailing list: https://groups.google.com/forum/?fromgroups=#!forum/openmc-users
+.. _Read the Docs: http://openmc.readthedocs.io/en/latest/
 
 .. only:: html
 
@@ -33,6 +37,7 @@ free to send a message to the User's Group `mailing list`_.
     usersguide/index
     devguide/index
     pythonapi/index
+    io_formats/index
     publications
     license
     developers
diff --git a/docs/source/io_formats/data_wmp.rst b/docs/source/io_formats/data_wmp.rst
new file mode 100644
index 0000000000..d645c6e8f1
--- /dev/null
+++ b/docs/source/io_formats/data_wmp.rst
@@ -0,0 +1,102 @@
+.. _io_data_wmp:
+
+=================================
+Windowed Multipole Library Format
+=================================
+
+**/version** (*char[]*)
+  The format version of the file.  The current version is "v0.2"
+
+**/nuclide/**
+    - **broaden_poly** (*int[]*)
+        If 1, Doppler broaden curve fit for window with corresponding index.
+        If 0, do not.
+    - **curvefit** (*double[][][]*)
+        Curve fit coefficients. Indexed by (reaction type, coefficient index,
+        window index).
+    - **data** (*complex[][]*)
+        Complex poles and residues. Each pole has a corresponding set of
+        residues. For example, the :math:`i`-th pole and corresponding residues
+        are stored as
+        
+        .. math::
+            \text{data}[:,i] = [\text{pole},~\text{residue}_1,~\text{residue}_2,
+            ~\ldots]
+
+        The residues are in the order: total, competitive if present,
+        absorption, fission. Complex numbers are stored by forming a type with
+        ":math:`r`" and ":math:`i`" identifiers, similar to how `h5py`_ does it.
+    - **end_E** (*double*)
+        Highest energy the windowed multipole part of the library is valid for.
+    - **energy_points** (*double[]*)
+        Energy grid for the pointwise library in the reaction group.
+    - **fissionable** (*int*)
+        1 if this nuclide has fission data. 0 if it does not.
+    - **fit_order** (*int*)
+        The order of the curve fit.
+    - **formalism** (*int*)
+        The formalism of the underlying data. Uses the `ENDF-6`_ format
+        formalism numbers.
+        
+        .. table:: Table of supported formalisms.
+        
+            +-------------+------------------+
+            | Formalism   | Formalism number |
+            +=============+==================+
+            | MLBW        | 2                |
+            +-------------+------------------+
+            | Reich-Moore | 3                |
+            +-------------+------------------+
+        
+    - **l_value** (*int[]*)
+        The index for a corresponding pole. Equivalent to the :math:`l` quantum
+        number of the resonance the pole comes from :math:`+1`.
+    - **length** (*int*)
+        Total count of poles in `data`.
+    - **max_w** (*int*)
+        Maximum number of poles in a window.
+    - **MT_count** (*int*)
+        Number of pointwise tables in the library.
+    - **MT_list** (*int[]*)
+        A list of available MT identifiers. See `ENDF-6`_ for meaning.
+    - **n_grid** (*int*)
+        Total length of the pointwise data.
+    - **num_l** (*int*)
+        Number of possible :math:`l` quantum states for this nuclide.
+    - **pseudo_K0RS** (*double[]*)
+        :math:`l` dependent value of
+
+        .. math::
+            \sqrt{\frac{2 m_n}{\hbar}}\frac{AWR}{AWR + 1} r_{s,l}
+
+        Where :math:`m_n` is mass of neutron, :math:`AWR` is the atomic weight
+        ratio of the target to the neutron, and :math:`r_{s,l}` is the
+        scattering radius for a given :math:`l`.
+    - **spacing** (*double*)
+        .. math::
+            \frac{\sqrt{E_{max}}- \sqrt{E_{min}}}{n_w}
+
+        Where :math:`E_{max}` is the maximum energy the windows go up to.  This
+        is not equivalent to the maximum energy for which the windowed multipole
+        data is valid for.  It is slightly higher to ensure an integer number of
+        windows. :math:`E_{min}` is the minimum energy and equivalent to
+        ``start_E``, and :math:`n_w` is the number of windows, given by
+        ``windows``.
+    - **sqrtAWR** (*double*)
+        Square root of the atomic weight ratio.
+    - **start_E** (*double*)
+        Lowest energy the windowed multipole part of the library is valid for.
+    - **w_start** (*int[]*)
+        The pole to start from for each window.
+    - **w_end** (*int[]*)
+        The pole to end at for each window.
+    - **windows** (*int*)
+        Number of windows.
+
+**/nuclide/reactions/MT<i>**
+    - **MT_sigma** (*double[]*) -- Cross section value for this reaction.
+    - **Q_value** (*double*) -- Energy released in this reaction, in eV.
+    - **threshold** (*int*) -- The first non-zero entry in ``MT_sigma``.
+
+.. _h5py: http://docs.h5py.org/en/latest/
+.. _ENDF-6: https://www.oecd-nea.org/dbdata/data/manual-endf/endf102.pdf
diff --git a/docs/source/io_formats/index.rst b/docs/source/io_formats/index.rst
new file mode 100644
index 0000000000..905cd26cc0
--- /dev/null
+++ b/docs/source/io_formats/index.rst
@@ -0,0 +1,18 @@
+.. _io_file_formats:
+
+==========================
+File Format Specifications
+==========================
+
+.. toctree::
+   :numbered:
+   :maxdepth: 3
+
+   data_wmp
+   mgxs_library
+   statepoint
+   source
+   summary
+   particle_restart
+   track
+   voxel
diff --git a/docs/source/io_formats/mgxs_library.rst b/docs/source/io_formats/mgxs_library.rst
new file mode 100644
index 0000000000..b6708a88db
--- /dev/null
+++ b/docs/source/io_formats/mgxs_library.rst
@@ -0,0 +1,304 @@
+.. _io_mgxs_library:
+
+========================================
+Multi-Group Cross Section Library Format
+========================================
+
+OpenMC can be run in continuous-energy mode or multi-group mode, provided the
+nuclear data is available.  In continuous-energy mode, the
+``cross_sections.xml`` file contains necessary meta-data for each data set,
+including the name and a file system location where the complete library
+can be found.  In multi-group mode, this ``mgxs.xml`` file contains
+this same meta-data describing the nuclide or material, but also contains the
+group-wise nuclear data.  This portion of the manual describes the format of
+the multi-group data library required to be used in the ``mgxs.xml``
+file.
+
+Similar to the other input file types, the multi-group library is provided in
+the XML_ format.  This library must provide some meta-data about the library
+itself (such as the number of groups and the group structure, etc.) as well as
+the actual cross section data itself for each of the necessary nuclides or
+materials.
+
+.. _XML: http://www.w3.org/XML/
+
+.. _mgxs_lib_spec:
+
+--------------------------
+MGXS Library Specification
+--------------------------
+
+The multi-group library meta-data is contained within the groups_,
+group_structure_, and inverse_velocities_ elements.
+The actual multi-group data itself is contained within the xsdata_ element.
+
+.. _groups:
+
+``<groups>`` Element
+--------------------
+
+The ``<groups>`` element has no attributes and simply provides the number of
+energy groups contained within the library.
+
+  *Default*: None, this must be provided.
+
+.. _group_structure:
+
+``<group_structure>`` Element
+-----------------------------
+
+The ``<group_structure>`` element has no attributes and should be provided as a
+monotonically increasing list of bounding energies, in MeV, for a number of
+groups. To provide proper energy boundaries, the length of the data within the
+``<group_structure>`` element should be one more than the number of groups in
+the problem.  For example, a two-group problem could be specified as:
+
+.. code-block:: xml
+
+    <group_structure> 0.0 0.625E-6 20.0 </group_structure>
+
+*Default*: None, this must be provided.
+
+.. _inverse_velocities:
+
+``<inverse_velocities>`` Element
+--------------------------------
+
+The ``<inverse_velocities>`` element optionally indicates the average
+inverse velocity corresponding to each of the groups in the problem.
+This element should therefore be an array with a length which matches the
+number of groups set in the groups_ element.
+
+*Default*: Should this be needed by the presence of an ``inverse-velocity``
+score in the ``tallies.xml`` file and not provided in this element, OpenMC
+will simply convert the group mid-point energy to an inverse of the velocity
+and use this information for tallying.
+
+.. _xsdata:
+
+``<xsdata>`` Element
+--------------------
+
+The ``<xsdata>`` element contains the nuclide or material-specific meta-data as
+well as the actual cross section data. The following are the
+attributes/sub-elements required to describe the meta-data:
+
+  :name:
+    The name of the microscopic or macroscopic data set.  An extension to the
+    name must be provided (e.g., the ``.300K`` in ``UO2.300K``).  The name and
+    extension together must be twelve or less characters in length.  This
+    extension must follow a period and be five characters or less in length.
+    similar to the equivalent in the continuous-energy ``cross_sections.xml``
+    file, is used to denote variants of the particular nuclide or material of
+    interest (i.e. the ``UO2`` data in this example could have been generated
+    at a temperature of 300K).
+
+    *Default*: None, this must be provided.
+
+  :alias:
+    An alternative name to use for the microscopic or macroscopic data set.
+
+    *Default*: If no alias is provided, it will adopt the value of ``name``.
+
+  :kT:
+    The temperature times Boltzmann's constant (in units of MeV) at which the
+    data was generated.
+
+    *Default*: Room temperature, 2.53E-8 MeV
+
+  :fissionable:
+    This element states whether or not the data in question is fissionable.
+    Accepted values are "true" or "false".
+
+    *Default*: None, this element must be provided.
+
+  :representation:
+    This element provides the method used to generate and represent the
+    multi-group cross sections.  That is, whether they were generated with
+    scalar flux weighting (or reduced to an equivalent representation)
+    and thus are angle-independent, or if the data was generated with angular
+    dependent fluxes and thus the data is angle-dependent.  The options are
+    either "isotropic" or "angle".
+
+    *Default*: "isotropic"
+
+  :num_azimuthal:
+    This element provides the number of equal width angular bins that the
+    azimuthal angular domain is subdivided in the case of angle-dependent
+    cross sections (i.e., "angle" is passed to the ``representation`` element).
+    Note that these bins are equal in azimuthal angle widths, not equal in the
+    cosine of the azimuthal angle widths.
+
+    *Default*: If ``representation`` is "angle", this must be provided.  This
+    parameter is not used for other ``representation`` types.
+
+  :num_polar:
+    This element provides the number of equal width angular bins that the
+    polar angular domain is subdivided in the case of angle-dependent
+    cross sections (i.e., "angle" is passed to the ``representation`` element).
+    Note that these bins are equal in polar angle widths, not equal in the
+    cosine of the polar angle widths.
+
+
+    *Default*: If ``representation`` is "angle", this must be provided.  This
+    parameter is not used for other ``representation`` types.
+
+  :scatt_type:
+    This element provides the representation of the angular distribution
+    associated with each group-to-group transfer probability. The options are
+    either "legendre", "histogram", or "tabular".
+    The "legendre" option means the angular distribution has been
+    expanded via Legendre polynomials of the order provided in the "order"
+    element.
+    The "histogram" option means the angular distribution is provided in
+    an equi-width histogram format with a number of bins as provided in the
+    "order" element.  This is useful when the angular distribution was
+    obtained from a Monte Carlo tally and thus is natively in the histogram
+    format.
+    The "tabular" option means the angular distribution is provided in an
+    equi-spaced point-wise representation.
+
+    *Default*: "legendre"
+
+  :order:
+    This element provides either the Legendre order, number of bins, or number
+    of points used to describe the angular distribution associated with each
+    group-to-group transfer probability.  The specific meaning of this bin
+    depends upon the value of ``scatt_type`` as discussed above.
+
+    *Default*: None, this element must be provided.
+
+  :tabular_legendre:
+    This optional element is used to set how the Legendre scattering kernel, if
+    provided via the ``scatt_type`` element above, is represented and thus used
+    during the scattering process.  Specifically, the options are to either
+    convert the Legendre expansion to a tabular representation or leave it as
+    a set of Legendre coefficients.  Converting to a tabular representation
+    will cost memory but can allow for a decrease in runtime compared to
+    leaving as a set of Legendre coefficients.  This element has the following
+    attributes/sub-elements:
+
+    :enable:
+      This attribute/sub-element denotes whether or not the conversion to the
+      tabular format should be performed or not.  A value of "true" means
+      the conversion should be performed, "false" means it should not.
+
+      *Default*: "true"
+
+    :num_points:
+      If the conversion is to take place the number of tabular points is
+      required.  This attribute/sub-element allows the user to set the desired
+      number of points.
+
+      *Default*: 33
+
+  The following attributes/sub-elements are the cross section values to
+  be used during the transport process.
+
+  :total:
+    This element requires the group-wise total cross section ordered by
+    increasing group index (i.e., fast to thermal).  If ``representation`` is
+    "isotropic", then the length of this list should equal the number of
+    groups described in the ``groups`` element.  If ``representation`` is
+    "angle", then the length of this list should equal the number of groups
+    times the number of azimuthal angles times the number of polar angles,
+    with the inner-dimension being groups, intermediate-dimension being
+    azimuthal angles and outer-dimension being the polar angles.
+
+    *Default*: If not provided, it will be determined by summing the
+    absorption and scattering cross sections.
+
+  :absorption:
+    This element requires the group-wise absorption cross section ordered by
+    increasing group index (i.e., fast to thermal).  If ``representation`` is
+    "isotropic", then the length of this list should equal the number of
+    groups described in the ``groups`` element.  If ``representation`` is
+    "angle", then the length of this list should equal the number of groups
+    times the number of azimuthal angles times the number of polar angles,
+    with the inner-dimension being groups, intermediate-dimension being
+    azimuthal angles and outer-dimension being the polar angles.
+
+    *Default*: None, this must be provided.
+
+  :scatter:
+    This element requires the scattering moment matrices presented with the
+    columns representing incoming group and rows representing the outgoing
+    group.  That is, down-scatter will be above the diagonal of the resultant
+    matrix.  This matrix is repeated for every Legendre order (in order of
+    increasing orders) if ``scatt_type`` is "legendre"; otherwise, this
+    matrix is repeated for every bin of the histogram or tabular
+    representation.  Finally, if ``representation`` is "angle", the above
+    is repeated for every azimuthal angle and every polar angle, in that
+    order.
+
+    *Default*: None, this must be provided.
+
+  :multiplicity:
+    This element provides the ratio of neutrons produced in scattering
+    collisions to the neutrons which undergo scattering collisions; that is,
+    the multiplicity provides the code with a scaling factor to account for
+    neutrons being produced in (n,xn) reactions.  This information is assumed
+    isotropic and therefore does not need to be repeated for every Legendre
+    moment or histogram/tabular bin.  This matrix follows the same arrangement
+    as described for the ``scatter`` element, with the exception of the
+    data needed to provide the scattering type information.
+
+    *Default*: Multiplicities of 1.0 are assumed (i.e., (n,xn) reactions are
+    neglected).
+
+  The following fission-specific data are only needed should ``fissionable``
+  be "true".
+
+  :fission:
+    This element requires the group-wise fission cross section ordered by
+    increasing group index (i.e., fast to thermal).  If ``representation`` is
+    "isotropic", then the length of this list should equal the number of
+    groups described in the ``groups`` element.  If ``representation`` is
+    "angle", then the length of this list should equal the number of groups
+    times the number of azimuthal angles times the number of polar angles,
+    with the inner-dimension being groups, intermediate-dimension being
+    azimuthal angles and outer-dimension being the polar angles.
+
+    *Default*: None, this is required only if fission tallies are
+    requested and the material is fissionable.
+
+  :kappa_fission:
+    This element requires the group-wise kappa-fission cross section ordered by
+    increasing group index (i.e., fast to thermal).  If ``representation`` is
+    "isotropic", then the length of this list should equal the number of
+    groups described in the ``groups`` element.  If ``representation`` is
+    "angle", then the length of this list should equal the number of groups
+    times the number of azimuthal angles times the number of polar angles,
+    with the inner-dimension being groups, intermediate-dimension being
+    azimuthal angles and outer-dimension being the polar angles.
+
+    *Default*: None, this is required only if kappa_fission tallies are
+    requested and the material is fissionable.
+
+  :chi:
+    This element requires the group-wise fission spectra ordered by
+    increasing group index (i.e., fast to thermal).  This element should be
+    used if making the common approximation that the fission spectra does
+    not depend on incoming energy.  If the user does not wish to make this
+    approximation, then this should not be provided and this information
+    included in the ``nu_fission`` element instead.  If ``representation`` is
+    "isotropic", then the length of this list should equal the number of
+    groups described in the ``groups`` element.  If ``representation`` is
+    "angle", then the length of this list should equal the number of groups
+    times the number of azimuthal angles times the number of polar angles,
+    with the inner-dimension being groups, intermediate-dimension being
+    azimuthal angles and outer-dimension being the polar angles.
+
+    *Default*: None, either this element is provided or ``nu_fission`` is
+    provided in fission matrix form, or the material is not fissionable.
+
+  :nu_fission:
+    This element provides either the group-wise fission production cross
+    section vector (i.e., if ``chi`` is provided), or is the group-wise fission
+    production matrix.  If providing the vector, it should be ordered the same
+    as the ``fission`` data.  If providing the matrix, it should be ordered
+    the same as the ``multiplicity`` matrix.
+
+    *Default*: None, either this element must be provided if the material
+    is fissionable.
+
diff --git a/docs/source/usersguide/output/particle_restart.rst b/docs/source/io_formats/particle_restart.rst
similarity index 87%
rename from docs/source/usersguide/output/particle_restart.rst
rename to docs/source/io_formats/particle_restart.rst
index e0d89a5156..c30eda3189 100644
--- a/docs/source/usersguide/output/particle_restart.rst
+++ b/docs/source/io_formats/particle_restart.rst
@@ -1,4 +1,4 @@
-.. _usersguide_particle_restart:
+.. _io_particle_restart:
 
 ============================
 Particle Restart File Format
@@ -46,7 +46,8 @@ The current revision of the particle restart file format is 1.
 
 **/energy** (*double*)
 
-    Energy of the particle in MeV.
+    Energy of the particle in MeV for continuous-energy mode, or the energy
+    group of the particle for multi-group mode.
 
 **/xyz** (*double[3]*)
 
diff --git a/docs/source/usersguide/output/source.rst b/docs/source/io_formats/source.rst
similarity index 66%
rename from docs/source/usersguide/output/source.rst
rename to docs/source/io_formats/source.rst
index 2981b0f662..a0a62afca0 100644
--- a/docs/source/usersguide/output/source.rst
+++ b/docs/source/io_formats/source.rst
@@ -1,4 +1,4 @@
-.. _usersguide_source:
+.. _io_source:
 
 ==================
 Source File Format
@@ -15,5 +15,6 @@ is that documented here.
 **/source_bank** (Compound type)
 
     Source bank information for each particle. The compound type has fields
-    ``wgt``, ``xyz``, ``uvw``, and ``E`` which represent the weight, position,
-    direction, and energy of the source particle, respectively.
+    ``wgt``, ``xyz``, ``uvw``, ``E``, and ``delayed_group``, which
+    represent the weight, position, direction, energy, energy group, and
+    delayed_group of the source particle, respectively.
diff --git a/docs/source/usersguide/output/statepoint.rst b/docs/source/io_formats/statepoint.rst
similarity index 69%
rename from docs/source/usersguide/output/statepoint.rst
rename to docs/source/io_formats/statepoint.rst
index d3c1729af6..e8b8f8b90b 100644
--- a/docs/source/usersguide/output/statepoint.rst
+++ b/docs/source/io_formats/statepoint.rst
@@ -1,10 +1,10 @@
-.. _usersguide_statepoint:
+.. _io_statepoint:
 
 =======================
 State Point File Format
 =======================
 
-The current revision of the statepoint file format is 14.
+The current revision of the statepoint file format is 15.
 
 **/filetype** (*char[]*)
 
@@ -39,6 +39,12 @@ The current revision of the statepoint file format is 14.
 
     Pseudo-random number generator seed.
 
+**/run_CE** (*int*)
+
+    Flag to denote continuous-energy or multi-group mode. A value of 1
+    indicates a continuous-energy run while a value of 0 indicates a
+    multi-group run.
+
 **/run_mode** (*char[]*)
 
     Run mode used. A value of 1 indicates a fixed-source run and a value of 2
@@ -185,10 +191,6 @@ if run_mode == 'k-eigenvalue':
     Type of the j-th filter. Can be 'universe', 'material', 'cell', 'cellborn',
     'surface', 'mesh', 'energy', 'energyout', or 'distribcell'.
 
-**/tallies/tally <uid>/filter <j>/offset** (*int*)
-
-    Filter offset (used for distribcell filter).
-
 **/tallies/tally <uid>/filter <j>/n_bins** (*int*)
 
     Number of bins for the j-th filter.
@@ -246,7 +248,7 @@ if run_mode == 'k-eigenvalue':
     Accumulated sum and sum-of-squares for each global tally. The compound type
     has fields named ``sum`` and ``sum_sq``.
 
-**tallies_present** (*int*)
+**/tallies_present** (*int*)
 
     Flag indicated if tallies are present in the file.
 
@@ -255,5 +257,72 @@ if (run_mode == 'k-eigenvalue' and source_present > 0)
     **/source_bank** (Compound type)
 
         Source bank information for each particle. The compound type has fields
-        ``wgt``, ``xyz``, ``uvw``, and ``E`` which represent the weight,
-        position, direction, and energy of the source particle, respectively.
+        ``wgt``, ``xyz``, ``uvw``, ``E``, ``g``, and ``delayed_group``, which
+        represent the weight, position, direction, energy, energy group, and
+        delayed_group of the source particle, respectively.
+
+**/runtime/total initialization** (*double*)
+
+    Time (in seconds on the master process) spent reading inputs, allocating
+    arrays, etc.
+
+**/runtime/reading cross sections** (*double*)
+
+    Time (in seconds on the master process) spent loading cross section
+    libraries (this is a subset of initialization).
+
+**/runtime/simulation** (*double*)
+
+    Time (in seconds on the master process) spent between initialization and
+    finalization.
+
+**/runtime/transport** (*double*)
+
+    Time (in seconds on the master process) spent transporting particles.
+
+**/runtime/inactive batches** (*double*)
+
+    Time (in seconds on the master process) spent in the inactive batches
+    (including non-transport activities like communcating sites).
+
+**/runtime/active batches** (*double*)
+
+    Time (in seconds on the master process) spent in the active batches
+    (including non-transport activities like communicating sites).
+
+**/runtime/synchronizing fission bank** (*double*)
+
+    Time (in seconds on the master process) spent sampling source particles
+    from fission sites and communicating them to other processes for load
+    balancing.
+
+**/runtime/sampling source sites** (*double*)
+
+    Time (in seconds on the master process) spent sampling source particles
+    from fission sites.
+
+**/runtime/SEND-RECV source sites** (*double*)
+
+    Time (in seconds on the master process) spent communicating source sites
+    between processes for load balancing.
+
+**/runtime/accumulating tallies** (*double*)
+
+    Time (in seconds on the master process) spent communicating tally results
+    and evaluating their statistics.
+
+**/runtime/CMFD** (*double*)
+
+    Time (in seconds on the master process) spent evaluating CMFD.
+
+**/runtime/CMFD building matrices** (*double*)
+
+    Time (in seconds on the master process) spent buliding CMFD matrices.
+
+**/runtime/CMFD solving matrices** (*double*)
+
+    Time (in seconds on the master process) spent solving CMFD matrices.
+
+**/runtime/total** (*double*)
+
+    Total time spent (in seconds on the master process) in the program.
diff --git a/docs/source/usersguide/output/summary.rst b/docs/source/io_formats/summary.rst
similarity index 88%
rename from docs/source/usersguide/output/summary.rst
rename to docs/source/io_formats/summary.rst
index f87f60c4a0..8af4f2398a 100644
--- a/docs/source/usersguide/output/summary.rst
+++ b/docs/source/io_formats/summary.rst
@@ -1,4 +1,4 @@
-.. _usersguide_summary:
+.. _io_summary:
 
 ===================
 Summary File Format
@@ -91,10 +91,16 @@ The current revision of the summary file format is 1.
 
     Type of fill for the cell. Can be 'normal', 'universe', or 'lattice'.
 
-**/geometry/cells/cell <uid>/material** (*int*)
+**/geometry/cells/cell <uid>/material** (*int* or *int[]*)
 
-    Unique ID of the material assigned to the cell. This dataset is present only
-    if fill_type is set to 'normal'.
+    Unique ID of the material(s) assigned to the cell. This dataset is present
+    only if fill_type is set to 'normal'.  The value '-1' signifies void
+    material.  The data is an array if the cell uses distributed materials,
+    otherwise it is a scalar.
+
+**/geometry/cells/cell <uid>/temperature** (*double[]*)
+
+    Temperature of the cell in Kelvin.
 
 **/geometry/cells/cell <uid>/offset** (*int[]*)
 
@@ -121,6 +127,10 @@ The current revision of the summary file format is 1.
 
     Region specification for the cell.
 
+**/geometry/cells/cell <uid>/distribcell_index** (*int*)
+
+    Index of this cell in distribcell filter arrays.
+
 **/geometry/surfaces/surface <uid>/index** (*int*)
 
     Index in surfaces array used internally in OpenMC.
@@ -287,6 +297,13 @@ The current revision of the summary file format is 1.
 
     Filter offset (used for distribcell filter).
 
+**/tallies/tally <uid>/filter <j>/paths** (*char[][]*)
+
+    The paths traversed through the CSG tree to reach each distribcell
+    instance (for 'distribcell' filters only). This consists of the integer
+    IDs for each universe, cell and lattice delimited by '->'. Each lattice
+    cell is specified by its (x,y) or (x,y,z) indices.
+
 **/tallies/tally <uid>/filter <j>/n_bins** (*int*)
 
     Number of bins for the j-th filter.
@@ -306,6 +323,11 @@ The current revision of the summary file format is 1.
     than the number of user-specified scores since each score might have
     multiple scoring bins, e.g., scatter-PN.
 
+**/tallies/tally <uid>/moment_orders** (*char[][]*)
+
+    Tallying moment orders for Legendre and spherical harmonic tally expansions
+    (*e.g.*, 'P2', 'Y1,2', etc.).
+
 **/tallies/tally <uid>/score_bins** (*char[][]*)
 
     Scoring bins for the tally.
diff --git a/docs/source/usersguide/output/track.rst b/docs/source/io_formats/track.rst
similarity index 96%
rename from docs/source/usersguide/output/track.rst
rename to docs/source/io_formats/track.rst
index d3c7a27d83..e5cb5d46e3 100644
--- a/docs/source/usersguide/output/track.rst
+++ b/docs/source/io_formats/track.rst
@@ -1,4 +1,4 @@
-.. _usersguide_track:
+.. _io_track:
 
 =================
 Track File Format
diff --git a/docs/source/usersguide/output/voxel.rst b/docs/source/io_formats/voxel.rst
similarity index 95%
rename from docs/source/usersguide/output/voxel.rst
rename to docs/source/io_formats/voxel.rst
index 1da501fb54..6b73f2800a 100644
--- a/docs/source/usersguide/output/voxel.rst
+++ b/docs/source/io_formats/voxel.rst
@@ -1,4 +1,4 @@
-.. _usersguide_voxel:
+.. _io_voxel:
 
 ======================
 Voxel Plot File Format
diff --git a/docs/source/license.rst b/docs/source/license.rst
index 73e3296172..c51902d6ff 100644
--- a/docs/source/license.rst
+++ b/docs/source/license.rst
@@ -4,7 +4,7 @@
 License Agreement
 =================
 
-Copyright © 2011-2015 Massachusetts Institute of Technology
+Copyright © 2011-2016 Massachusetts Institute of Technology
 
 Permission is hereby granted, free of charge, to any person obtaining a copy of
 this software and associated documentation files (the "Software"), to deal in
diff --git a/docs/source/methods/cmfd.rst b/docs/source/methods/cmfd.rst
index 49cb86c674..9403933fd6 100644
--- a/docs/source/methods/cmfd.rst
+++ b/docs/source/methods/cmfd.rst
@@ -8,6 +8,10 @@ This page section discusses how nonlinear diffusion acceleration (NDA) using
 coarse mesh finite difference (CMFD) is implemented into OpenMC. Before we get
 into the theory, general notation for this section is discussed.
 
+Note that the methods discussed in this section are written specifically for
+continuous-energy mode but equivalent apply to the multi-group mode if the
+particle's energy is replaced with the particle's group
+
 --------
 Notation
 --------
@@ -110,10 +114,12 @@ illustrated as a flow chart below. After a batch of neutrons
 is simulated, NDA can take place. Each of the steps described above is described
 in detail in the following sections.
 
-.. tikz:: Flow chart of NDA process. Note "XS" is used for cross section and
-          "DC" is used for diffusion coefficient.
-   :libs: shapes, snakes, shadows, arrows, calc, decorations.markings, patterns, fit, matrix, spy
-   :include: cmfd_tikz/cmfd_flow.tikz
+.. figure:: ../_images/cmfd_flow.png
+    :align: center
+    :figclass: align-center
+
+    Flow chart of NDA process. Note "XS" is used for cross section and "DC" is
+    used for diffusion coefficient.
 
 Calculation of Macroscopic Cross Sections
 -----------------------------------------
@@ -422,9 +428,11 @@ during the MC simulation with incoming and outgoing partial currents. This
 allows the user to not have to worry about neutrons producing adequate tallies
 in mesh cells far away from the core.
 
-.. tikz:: Diagram of CMFD acceleration mesh
-   :libs: shapes, snakes, shadows, arrows, calc, decorations.markings, patterns, fit, matrix, spy
-   :include: cmfd_tikz/meshfig.tikz
+.. figure:: ../_images/meshfig.png
+    :align: center
+    :figclass: align-center
+
+    Diagram of CMFD acceleration mesh
 
 During an MC simulation, CMFD tallies are accumulated. The basic tallies needed
 are listed in Table :ref:`tab_tally`. Each tally is performed on a spatial and
diff --git a/docs/source/methods/cross_sections.rst b/docs/source/methods/cross_sections.rst
index 5126252cd7..4ed7775367 100644
--- a/docs/source/methods/cross_sections.rst
+++ b/docs/source/methods/cross_sections.rst
@@ -1,16 +1,20 @@
 .. _methods_cross_sections:
 
-============================
-Cross Section Representation
-============================
+=============================
+Cross Section Representations
+=============================
 
-The data governing the interaction of neutrons with various nuclei are
-represented using the ACE format which is used by MCNP_ and Serpent_. ACE-format
-data can be generated with the NJOY_ nuclear data processing system which
-converts raw `ENDF/B data`_ into linearly-interpolable data as required by most
-Monte Carlo codes. The use of a standard cross section format allows for a
-direct comparison of OpenMC with other codes since the same cross section
-libraries can be used.
+----------------------
+Continuous-Energy Data
+----------------------
+
+The data governing the interaction of neutrons with
+various nuclei for continous-energy problems are represented using the ACE
+format which is used by MCNP_ and Serpent_. ACE-format data can be generated
+with the NJOY_ nuclear data processing system which converts raw
+`ENDF/B data`_ into linearly-interpolable data as required by most Monte Carlo
+codes. The use of a standard cross section format allows for a direct comparison
+of OpenMC with other codes since the same cross section libraries can be used.
 
 The ACE format contains continuous-energy cross sections for the following types
 of reactions: elastic scattering, fission (or first-chance fission,
@@ -24,7 +28,6 @@ accurate treatment of self-shielding in the unresolved resonance range. For
 bound scatterers, separate tables with :math:`S(\alpha,\beta,T)` scattering law
 data can be used.
 
--------------------
 Energy Grid Methods
 -------------------
 
@@ -48,7 +51,7 @@ implement a method of reducing the number of energy grid searches in order to
 speed up the calculation.
 
 Logarithmic Mapping
--------------------
++++++++++++++++++++
 
 To speed up energy grid searches, OpenMC uses logarithmic mapping technique
 [Brown]_ to limit the range of energies that must be searched for each
@@ -58,11 +61,177 @@ the nuclide energy grids. By default, OpenMC uses 8000 equal-lethargy segments
 as recommended by Brown.
 
 Other Methods
--------------
++++++++++++++
 
 A good survey of other energy grid techniques, including unionized energy grids,
 can be found in a paper by Leppanen_.
 
+Windowed Multipole Representation
+---------------------------------
+
+In addition to the usual pointwise representation of cross sections, OpenMC
+offers support for an experimental data format called windowed multipole (WMP).
+This data format requires less memory than pointwise cross sections, and it
+allows on-the-fly Doppler broadening to arbitrary temperature.
+
+The multipole method was introduced by [Hwang]_ and the faster windowed
+multipole method by [Josey]_.  In the multipole format, cross section resonances
+are represented by poles, :math:`p_j`, and residues, :math:`r_j`, in the complex
+plane.  The 0K cross sections in the resolved resonance region can be computed
+by summing up a contribution from each pole:
+
+.. math::
+   \sigma(E, T=0\text{K}) = \frac{1}{E} \sum_j \text{Re} \left[
+   \frac{i r_j}{\sqrt{E} - p_j} \right]
+
+Assuming free-gas thermal motion, cross sections in the multipole form can be
+analytically Doppler broadened to give the form:
+
+.. math::
+   \sigma(E, T) = \frac{1}{2 E \sqrt{\xi}} \sum_j \text{Re} \left[i r_j
+   \sqrt{\pi} W_i(z) - \frac{r_j}{\sqrt{\pi}} C \left(\frac{p_j}{\sqrt{\xi}},
+   \frac{u}{2 \sqrt{\xi}}\right)\right]
+.. math::
+   W_i(z) = \frac{i}{\pi} \int_{-\infty}^\infty dt \frac{e^{-t^2}}{z - t}
+.. math::
+   C \left(\frac{p_j}{\sqrt{\xi}},\frac{u}{2 \sqrt{\xi}}\right) =
+   2p_j \int_0^\infty du' \frac{e^{-(u + u')^2/4\xi}}{p_j^2 - u'^2}
+.. math::
+   z = \frac{\sqrt{E} - p_j}{2 \sqrt{\xi}}
+.. math::
+   \xi = \frac{k_B T}{4 A}
+.. math::
+   u = \sqrt{E}
+
+where :math:`T` is the temperature of the resonant scatterer, :math:`k_B` is the
+Boltzmann constant, :math:`A` is the mass of the target nucleus. For
+:math:`E \gg k_b T/A`, the :math:`C` integral is approximately zero, simplifying
+the cross section to:
+
+.. math::
+   \sigma(E, T) = \frac{1}{2 E \sqrt{\xi}} \sum_j \text{Re} \left[i r_j
+   \sqrt{\pi} W_i(z)\right]
+
+The :math:`W_i` integral simplifies down to an analytic form.  We define the
+Faddeeva function, :math:`W` as:
+
+.. math::
+   W(z) = e^{-z^2} \text{Erfc}(-iz)
+
+Through this, the integral transforms as follows:
+
+.. math::
+   \text{Im} (z) > 0 : W_i(z) = W(z)
+.. math::
+   \text{Im} (z) < 0 : W_i(z) = -W(z^*)^*
+
+There are freely available algorithms_ to evaluate the Faddeeva function. For
+many nuclides, the Faddeeva function needs to be evaluated thousands of times to
+calculate a cross section.  To mitigate that computational cost, the WMP method
+only evaluates poles within a certain energy "window" around the incident
+neutron energy and accounts for the effect of resonances outside that window
+with a polynomial fit.  This polynomial fit is then broadened exactly. This
+exact broadening can make up for the removal of the :math:`C` integral, as
+typically at low energies, only curve fits are used.
+
+Note that the implementation of WMP in OpenMC currently assumes that inelastic
+scattering does not occur in the resolved resonance region.  This is usually,
+but not always the case.  Future library versions may eliminate this issue.
+
+The data format used by OpenMC to represent windowed multipole data is specified
+in :ref:`io_data_wmp`.
+
+----------------
+Multi-Group Data
+----------------
+
+The data governing the interaction of particles with various nuclei or materials
+are represented using a multi-group library format specific to the OpenMC code.
+The format is described in the :ref:`mgxs_lib_spec`.
+The data itself can be prepared via traditional paths or directly from a
+continuous-energy OpenMC calculation by use of the Python API as is shown in the
+:ref:`notebook_mgxs_part_iv` example notebook. This multi-group
+library consists of meta-data (such as the energy group structure) and multiple
+`xsdata` objects which contains the required microscopic or macroscopic
+multi-group data.
+
+At a minimum, the library must contain the absorption cross section
+(:math:`\sigma_{a,g}`) and a scattering matrix. If the problem is an eigenvalue
+problem then all fissionable materials must also contain either
+a fission production matrix cross section
+(:math:`\nu\sigma_{f,g\rightarrow g'}`), or
+both the fission spectrum data (:math:`\chi_{g'}`) and a fission production
+cross section (:math:`\nu\sigma_{f,g}`), or, .  The library must also contain
+the fission cross section (:math:`\sigma_{f,g}`) or the fission energy release
+cross section (:math:`\kappa\sigma_{f,g}`) if the associated tallies are
+required by the model using the library.
+
+After a scattering collision, the outgoing particle experiences a change in both
+energy and angle. The probability of a particle resulting in a given outgoing
+energy group (`g'`) given a certain incoming energy group (`g`) is provided
+by the scattering matrix data.  The angular information can be expressed either
+via Legendre expansion of the particle's change-in-angle (:math:`\mu`), a
+tabular representation of the probability distribution function of :math:`\mu`,
+or a histogram representation of the same PDF. The formats used to
+represent these are described in the :ref:`mgxs_lib_spec`.
+
+Unlike the continuous-energy mode, the multi-group mode does not explicitly
+track particles produced from scattering multiplication (i.e., :math:`(n,xn)`)
+reactions.  These are instead accounted for by adjusting the weight of the
+particle after the collision such that the correct total weight is maintained.
+The weight adjustment factor is optionally provided by the `multiplicity` data
+which is required to be provided in the form of a group-wise matrix.
+This data is provided as a group-wise matrix since the probability of producing
+multiple particles in a scattering reaction depends on both the incoming energy,
+`g`, and the sampled outgoing energy, `g'`. This data represents the average
+number of particles emitted from a scattering reaction, given a scattering
+reaction has occurred:
+
+.. math::
+
+    multiplicity_{g \rightarrow g'} = \frac{\nu_{scatter}\sigma_{s,g \rightarrow g'}}{
+    								   \sigma_{s,g \rightarrow g'}}
+
+If this scattering multiplication information is not provided in the library
+then no weight adjustment will be performed. This is equivalent to neglecting
+any additional particles produced in scattering multiplication reactions.
+However, this assumption will result in a loss of accuracy since the total
+particle population would not be conserved. This reduction in accuracy due to
+the loss in particle conservation can be mitigated by reducing the absorption
+cross section as needed to maintain particle conservation. This adjustment can
+be done when generating the library, or by OpenMC. To have OpenMC perform the
+adjustment, the total cross section (:math:`\sigma_{t,g}`) must be provided.
+With this information, OpenMC will then adjust the absorption cross section as
+follows:
+
+.. math::
+
+    \sigma_{a,g} = \sigma_{t,g} - \sum_{g'}\nu_{scatter}\sigma_{s,g \rightarrow g'}
+
+The above method is the same as is usually done with most deterministic solvers.
+Note that this method is less accurate than using the scattering multiplication
+weight adjustment since simply reducing the absorption cross section does not
+include any information about the outgoing energy of the particles produced in
+these reactions.
+
+All of the data discussed in this section can be provided to the code
+independent of the particle's direction of motion (i.e., isotropic), or the data
+can be provided as a tabular distribution of the polar and azimuthal particle
+direction angles. The isotropic representation is the most commonly used,
+however inaccuracies are to be expected especially near material interfaces
+where a material has a very large cross sections relative to the other material
+(as can be expected in the resonance range). The angular representation can be
+used to minimize this error.
+
+Finally, the above options for representing the physics do not have to be
+consistent across the problem.  The number of groups and the structure, however,
+does have to be consistent across the data sets. That is to say that each
+microscopic or macroscopic data set does not have to apply the same scattering
+expansion, treatment of multiplicity or angular representation of the cross
+sections. This allows flexibility for the model to use highly anisotropic
+scattering information in the water while the fuel can be simulated with linear
+or even isotropic scattering.
+
 .. only:: html
 
    .. rubric:: References
@@ -70,8 +239,17 @@ can be found in a paper by Leppanen_.
 .. [Brown] Forrest B. Brown, "New Hash-based Energy Lookup Algorithm for Monte
            Carlo codes," LA-UR-14-24530, Los Alamos National Laboratory (2014).
 
+.. [Hwang] R. N. Hwang, "A Rigorous Pole Representation of Multilevel Cross
+           Sections and Its Practical Application,"  *Nucl. Sci. Eng.*, **96**,
+           192-209 (1987).
+
+.. [Josey] Colin Josey, Pablo Ducru, Benoit Forget, and Kord Smith, "Windowed
+           Multipole for Cross Section Doppler Broadening," *J. Comp. Phys*,
+           **307**, 715-727 (2016). http://dx.doi.org/10.1016/j.jcp.2015.08.013
+
 .. _MCNP: http://mcnp.lanl.gov
 .. _Serpent: http://montecarlo.vtt.fi
 .. _NJOY: http://t2.lanl.gov/codes.shtml
 .. _ENDF/B data: http://www.nndc.bnl.gov/endf
 .. _Leppanen: http://dx.doi.org/10.1016/j.anucene.2009.03.019
+.. _algorithms: http://ab-initio.mit.edu/wiki/index.php/Faddeeva_Package
diff --git a/docs/source/methods/geometry.rst b/docs/source/methods/geometry.rst
index c1be68f72e..c689883d08 100644
--- a/docs/source/methods/geometry.rst
+++ b/docs/source/methods/geometry.rst
@@ -84,10 +84,10 @@ to fully define the surface.
     | Plane perpendicular  | x-plane    | :math:`x - x_0 = 0`          | :math:`x_0`             |
     | to :math:`x`-axis    |            |                              |                         |
     +----------------------+------------+------------------------------+-------------------------+
-    | Plane perpendicular  | y-plane    | :math:`x - x_0 = 0`          | :math:`y_0`             |
+    | Plane perpendicular  | y-plane    | :math:`y - y_0 = 0`          | :math:`y_0`             |
     | to :math:`y`-axis    |            |                              |                         |
     +----------------------+------------+------------------------------+-------------------------+
-    | Plane perpendicular  | z-plane    | :math:`x - x_0 = 0`          | :math:`z_0`             |
+    | Plane perpendicular  | z-plane    | :math:`z - z_0 = 0`          | :math:`z_0`             |
     | to :math:`z`-axis    |            |                              |                         |
     +----------------------+------------+------------------------------+-------------------------+
     | Arbitrary plane      | plane      | :math:`Ax + By + Cz = D`     | :math:`A\;B\;C\;D`      |
@@ -205,7 +205,7 @@ traveling in its current direction, it will not hit the surface. The complete
 derivation for different types of surfaces used in OpenMC will be presented in
 the following sections.
 
-Since :math:f(x,y,z)` in general is quadratic in :math:`x`, :math:`y`, and
+Since :math:`f(x,y,z)` in general is quadratic in :math:`x`, :math:`y`, and
 :math:`z`, this implies that :math:`f(x_0 + du_0, y + dv_0, z + dw_0)` is
 quadratic in :math:`d`. Thus we expect at most two real solutions to
 :eq:`dist-to-boundary-1`. If no solutions to :eq:`dist-to-boundary-1` exist or
@@ -437,6 +437,8 @@ where :math:`(x_0, y_0, z_0)` are the coordinates to the lower-left-bottom
 corner of the lattice, and :math:`p_0, p_1, p_2` are the pitches along the
 :math:`x`, :math:`y`, and :math:`z` axes, respectively.
 
+.. _hexagonal_indexing:
+
 Hexagonal Lattice Indexing
 --------------------------
 
diff --git a/docs/source/methods/introduction.rst b/docs/source/methods/introduction.rst
index 508ac99193..dab1c544ad 100644
--- a/docs/source/methods/introduction.rst
+++ b/docs/source/methods/introduction.rst
@@ -8,7 +8,7 @@ The physical process by which a population of particles evolves over time is
 governed by a number of `probability distributions`_. For instance, given a
 particle traveling through some material, there is a probability distribution
 for the distance it will travel until its next collision (an exponential
-distribution). Then, when it collides with a nucleus, there is associated
+distribution). Then, when it collides with a nucleus, there is an associated
 probability of undergoing each possible reaction with that nucleus. While the
 behavior of any single particle is unpredictable, the average behavior of a
 large population of particles originating from the same source is well defined.
@@ -45,15 +45,20 @@ following steps:
 
   - Initialize the pseudorandom number generator.
 
-  - Read ACE format cross sections specified in the problem.
+  - Read the contiuous-energy or multi-group cross section data specified in
+    the problem.
 
   - If using a special energy grid treatment such as a union energy grid or
-    lethargy bins, that must be initialized as well.
+    lethargy bins, that must be initialized as well in a continuous-energy
+    problem.
+
+  - In a multi-group problem, individual nuclide cross section information is
+    combined to produce material-specific cross section data.
 
   - In a fixed source problem, source sites are sampled from the specified
-    source. In an eigenvalue problem, source sites are sampled from some initial
-    source distribution or from a source file. The source sites consist of
-    coordinates, a direction, and an energy.
+    source. In an eigenvalue problem, source sites are sampled from some
+    initial source distribution or from a source file. The source sites
+    consist of coordinates, a direction, and an energy.
 
 Once initialization is complete, the actual transport simulation can
 proceed. The life of a single particle will proceed as follows:
@@ -95,6 +100,10 @@ proceed. The life of a single particle will proceed as follows:
 
          P(i) = \frac{\Sigma_{t,i}}{\Sigma_t}.
 
+     Note that the above selection of collided nuclide only applies to
+     continuous-energy simulations as multi-group simulations use nuclide
+     data which has already been combined in to material-specific data.
+
   8. Once the specific nuclide is sampled, the random samples a reaction for
      that nuclide based on the microscopic cross sections. If the microscopic
      cross section for some reaction :math:`x` is :math:`\sigma_x` and the total
@@ -105,13 +114,20 @@ proceed. The life of a single particle will proceed as follows:
 
          P(x) = \frac{\sigma_x}{\sigma_t}.
 
+     Since multi-group simulations use material-specific data, the above is
+     performed with those material multi-group cross sections (i.e.,
+     macroscopic cross sections for the material) instead of microscopic
+     cross sections for the nuclide).
+
   9. If the sampled reaction is elastic or inelastic scattering, the outgoing
-     energy and angle is sampled from the appropriate distribution.  Reactions
-     of type :math:`(n,xn)` are treated as scattering and the weight of the
-     particle is increased by the multiplicity of the reaction. The particle
-     then continues from step 3. If the reaction is absorption or fission, the
-     particle dies and if necessary, fission sites are created and stored in the
-     fission bank.
+     energy and angle is sampled from the appropriate distribution.  In
+     continuous-energy simulation, reactions of type :math:`(n,xn)` are treated
+     as scattering and any additional particles which may be created are added
+     to a secondary particle bank to be tracked later. In a multi-group
+     simulation, this secondary bank is not used but the particle weight is
+     increased accordingly.  The original particle then continues from step 3.
+     If the reaction is absorption or fission, the particle dies and if
+     necessary, fission sites are created and stored in the fission bank.
 
 After all particles have been simulated, there are a few final tasks that must
 be performed before the run is finished. This include the following:
diff --git a/docs/source/methods/physics.rst b/docs/source/methods/physics.rst
index e25057488c..b246584c8b 100644
--- a/docs/source/methods/physics.rst
+++ b/docs/source/methods/physics.rst
@@ -4,6 +4,12 @@
 Physics
 =======
 
+There are limited differences between physics treatments used in the
+continuous-energy and multi-group modes.  If distinctions are necessary, each
+of the following sections will provide an explanation of the differences.
+Otherwise, replacing any references of the particle's energy (`E`) with
+references to the particle's energy group (`g`) will suffice.
+
 -----------------------------------
 Sampling Distance to Next Collision
 -----------------------------------
@@ -79,6 +85,10 @@ originating from :math:`(n,\gamma)` and other reactions.
 Elastic Scattering
 ------------------
 
+Note that the multi-group mode makes no distinction between elastic or
+inelastic scattering reactions. The spceific multi-group scattering
+implementation is discussed in the :ref:`multi-group-scatter` section.
+
 Elastic scattering refers to the process by which a neutron scatters off a
 nucleus and does not leave it in an excited. It is referred to as "elastic"
 because in the center-of-mass system, the neutron does not actually lose
@@ -170,6 +180,10 @@ final direction in the lab system.
 Inelastic Scattering
 --------------------
 
+Note that the multi-group mode makes no distinction between elastic or
+inelastic scattering reactions. The spceific multi-group scattering
+implementation is discussed in the :ref:`multi-group-scatter` section.
+
 The major algorithms for inelastic scattering were described in previous
 sections. First, a scattering cosine is sampled using the algorithms in
 :ref:`sample-angle`. Then an outgoing energy is sampled using the algorithms in
@@ -186,12 +200,69 @@ secondary photons from nuclear de-excitation are tracked in OpenMC.
 :math:`(n,xn)` Reactions
 ------------------------
 
+Note that the multi-group mode makes no distinction between elastic or
+inelastic scattering reactions. The specific multi-group scattering
+implementation is discussed in the :ref:`multi-group-scatter` section.
+
 These types of reactions are just treated as inelastic scattering and as such
 are subject to the same procedure as described in :ref:`inelastic-scatter`. For
 reactions with integral multiplicity, e.g., :math:`(n,2n)`, an appropriate
 number of secondary neutrons are created. For reactions that have a multiplicity
 given as a function of the incoming neutron energy (which occasionally occurs
-for MT=5), the weight of the outgoing neutron is multiplied by the multiplcity.
+for MT=5), the weight of the outgoing neutron is multiplied by the multiplicity.
+
+.. _multi-group-scatter:
+
+----------------------
+Multi-Group Scattering
+----------------------
+
+In multi-group mode, a scattering collision requires that the outgoing energy
+group of the simulated particle be selected from a probability distribution,
+the change-in-angle selected from a probability distribution according to
+the outgoing energy group, and finally the particle's weight adjusted again
+according to the outgoing energy group.
+
+The first step in selecting an outgoing energy group for a particle in a given
+incoming energy group is to select a random number (:math:`\xi`) between 0 and
+1.  This number is then compared to the cumulative distribution function
+produced from the outgoing group (`g'`) data for the given incoming group (`g`):
+
+.. math::
+    CDF = \sum_{g'=0}^{h}\Sigma_{s,g \rightarrow g'}
+
+If the scattering data is represented as a Legendre expansion, then the
+value of :math:`\Sigma_{s,g \rightarrow g'}` above is the 0th order forthe
+given group transfer. If the data is provided as tabular or histogram data, then
+:math:`\Sigma_{s,g \rightarrow g'}` is the sum of all bins of data for a given
+`g` and `g'` pair.
+
+Now that the outgoing energy is known the change-in-angle, :math:`\mu` can be
+determined. If the data is provided as a Legendre expansion, this is done by
+rejection sampling of the probability distribution represented by the Legendre
+series. For efficiency, the selected values of the PDF (:math:`f(\mu)`) are
+chosen to be between 0 and the maximum value of :math:`f(\mu)` in the domain of
+-1 to 1. Note that this sampling scheme automatically forces negative values of
+the :math:`f(\mu)` probability distribution function to be treated as zero
+probabilities.
+
+If the angular data is instead provided as a tabular representation, then the
+value of :math:`\mu` is selected as described in the :ref:`angle-tabular`
+section with a linear-linear interpolation scheme.
+
+If the angular data is provided as a histogram representation, then
+the value of :math:`\mu` is selected in a similar fashion to that described for
+the selection of the outgoing energy (since the energy group representation is
+simply a histogram representation) except the CDF is composed of the angular
+bins and not the energy groups.  However, since we are interested in a specific
+value of :math:`\mu` instead of a group, then an angle selected from a uniform
+distribution within from the chosen angular bin.
+
+The final step in the scattering treatment is to adjust the weight of the
+neutron to account for any production of neutrons due to :math:`(n,xn)`
+reactions. This data is obtained from the multiplicity data provided in the
+multi-group cross section library for the material of interest.
+The scaled value will default to 1.0 if no value is provided in the library.
 
 .. _fission:
 
@@ -271,10 +342,19 @@ position of the collision site are stored in an array called the fission
 bank. In a subsequent generation, these fission bank sites are used as starting
 source sites.
 
+The above description is similar for the multi-group mode except the data are
+provided as group-wise data instead of in a continuous-energy format. In this
+case, the outgoing energy of the fission neutrons are represented as histograms
+by way of either the nu-fission matrix or chi vector.
+
 -----------------------------------------
 Secondary Angles and Energy Distributions
 -----------------------------------------
 
+Note that this section is specific to continuous-energy mode since the
+multi-group scattering process has already been described including the
+secondary energy and angle sampling.
+
 For any reactions with secondary neutrons, it is necessary to sample secondary
 angle and energy distributions. This includes elastic and inelastic scattering,
 fission, and :math:`(n,xn)` reactions. In some cases, the angle and energy
@@ -890,6 +970,9 @@ space distribution at all, the :math:`(n,2n)` reaction with H-2.
 Transforming a Particle's Coordinates
 -------------------------------------
 
+Since all the multi-group data exists in the laboratory frame of reference, this
+section does not apply to the multi-group mode.
+
 Once the cosine of the scattering angle :math:`\mu` has been sampled either from
 a angle distribution or a correlated angle-energy distribution, we are still
 left with the task of transforming the particle's coordinates. If the outgoing
@@ -941,6 +1024,9 @@ the post-collision direction is calculated as
 Effect of Thermal Motion on Cross Sections
 ------------------------------------------
 
+Since all the multi-group data should be generated with thermal scattering
+treatments already, this section does not apply to the multi-group mode.
+
 When a neutron scatters off of a nucleus, it may often be assumed that the
 target nucleus is at rest. However, the target nucleus will have motion
 associated with its thermal vibration, even at absolute zero (This is due to the
@@ -1272,6 +1358,8 @@ described fully in `Walsh et al.`_
 |sab| Tables
 ------------
 
+Note that |sab| tables are only applicable to continuous-energy transport.
+
 For neutrons with thermal energies, generally less than 4 eV, the kinematics of
 scattering can be affected by chemical binding and crystalline effects of the
 target molecule. If these effects are not accounted for in a simulation, the
@@ -1461,6 +1549,9 @@ actual algorithm utilized to sample the outgoing angle is shown in equation
 Unresolved Resonance Region Probability Tables
 ----------------------------------------------
 
+Note that unresolved resonance treatments are only applicable to
+continuous-energy transport.
+
 In the unresolved resonance energy range, resonances may be so closely spaced
 that it is not possible for experimental measurements to resolve all
 resonances. To properly account for self-shielding in this energy range, OpenMC
@@ -1626,7 +1717,7 @@ another.
 
 .. _ENDF-6 Format: http://www-nds.iaea.org/ndspub/documents/endf/endf102/endf102.pdf
 
-.. _Monte Carlo Sampler: https://laws.lanl.gov/vhosts/mcnp.lanl.gov/pdf_files/la-9721_3rdmcsampler.pdf
+.. _Monte Carlo Sampler: https://laws.lanl.gov/vhosts/mcnp.lanl.gov/pdf_files/la-9721.pdf
 
 .. _LA-UR-14-27694: http://permalink.lanl.gov/object/tr?what=info:lanl-repo/lareport/LA-UR-14-27694
 
@@ -1636,4 +1727,4 @@ another.
 
 .. _lectures: https://laws.lanl.gov/vhosts/mcnp.lanl.gov/pdf_files/la-ur-05-4983.pdf
 
-.. _MCNP Manual: https://laws.lanl.gov/vhosts/mcnp.lanl.gov/pdf_files/MCNP5_Manual_Volume_I_LA-UR-03-1987.pdf
+.. _MCNP Manual: https://laws.lanl.gov/vhosts/mcnp.lanl.gov/pdf_files/la-ur-03-1987.pdf
diff --git a/docs/source/methods/random_numbers.rst b/docs/source/methods/random_numbers.rst
index 3ea61719c5..e0a974f43b 100644
--- a/docs/source/methods/random_numbers.rst
+++ b/docs/source/methods/random_numbers.rst
@@ -70,5 +70,5 @@ the idea is to determine the new multiplicative and additive constants in
    Different Sizes and Good Lattice Structures," *Math. Comput.*, **68**, 249
    (1999).
 
-.. _Brown: https://laws.lanl.gov/vhosts/mcnp.lanl.gov/pdf_files/anl_rn_arb-strides_1994.pdf
+.. _Brown: https://laws.lanl.gov/vhosts/mcnp.lanl.gov/pdf_files/anl-rn-arb-stride.pdf
 .. _linear congruential generator: http://en.wikipedia.org/wiki/Linear_congruential_generator
diff --git a/docs/source/methods/tallies.rst b/docs/source/methods/tallies.rst
index fd0812245a..3b01e03f3d 100644
--- a/docs/source/methods/tallies.rst
+++ b/docs/source/methods/tallies.rst
@@ -4,6 +4,10 @@
 Tallies
 =======
 
+Note that the methods discussed in this section are written specifically for
+continuous-energy mode but equivalent apply to the multi-group mode if the
+particle's energy is replaced with the particle's group
+
 ------------------
 Filters and Scores
 ------------------
@@ -32,8 +36,9 @@ OpenMC: flux, total reaction rate, scattering reaction rate, neutron production
 from scattering, higher scattering moments, :math:`(n,xn)` reaction rates,
 absorption reaction rate, fission reaction rate, neutron production rate from
 fission, and surface currents. The following variables can be used as filters:
-universe, material, cell, birth cell, surface, mesh, pre-collision energy, and
-post-collision energy.
+universe, material, cell, birth cell, surface, mesh, pre-collision energy,
+post-collision energy, polar angle, azimuthal angle, and the cosine of the
+change-in-angle due to a scattering event.
 
 With filters for pre- and post-collision energy and scoring functions for
 scattering and fission production, it is possible to use OpenMC to generate
@@ -55,9 +60,9 @@ be scored to for each value of the filter variable. If a particle is in cell
 :math:`n`, the mapping would identify what tally/bin combinations specify cell
 :math:`n` for the cell filter variable. In this manner, it is not necessary to
 check the phase space variables against each tally. Note that this technique
-only applies to discrete filter variables and cannot be applied to energy
-bins. For energy filters, it is necessary to perform a binary search on the
-specified energy grid.
+only applies to discrete filter variables and cannot be applied to energy,
+angle, or change-in-angle bins. For these filters, it is necessary to perform
+a binary search on the specified energy grid.
 
 -----------------------------------------
 Volume-Integrated Flux and Reaction Rates
@@ -196,8 +201,9 @@ One important fact to take into consideration is that the use of a track-length
 estimator precludes us from using any filter that requires knowledge of the
 particle's state following a collision because by definition, it will not have
 had a collision at every event. Thus, for tallies with outgoing-energy filters
-(which require the post-collision energy) or for tallies of scattering moments
-(which require the scattering cosine), we must use an analog estimator.
+(which require the post-collision energy), scattering change-in-angle filters,
+or for tallies of scattering moments (which require the scattering cosine of
+the change-in-angle), we must use an analog estimator.
 
 .. TODO: Add description of surface current tallies
 
@@ -430,7 +436,7 @@ analytically. For one degree of freedom, the t-distribution becomes a standard
 .. math::
     :label: cauchy-cdf
 
-    c(x) = \frac{1}{\pi} \arctan x + \frac{1}{2}. 
+    c(x) = \frac{1}{\pi} \arctan x + \frac{1}{2}.
 
 Thus, inverting the cumulative distribution function, we find the :math:`x`
 percentile of the standard Cauchy distribution to be
@@ -507,6 +513,6 @@ improve the estimate of the percentile.
 
 .. _Cauchy distribution: http://en.wikipedia.org/wiki/Cauchy_distribution
 
-.. _unpublished rational approximation: http://home.online.no/~pjacklam/notes/invnorm/
+.. _unpublished rational approximation: https://web.archive.org/web/20150926021742/http://home.online.no/~pjacklam/notes/invnorm/
 
 .. _MC21: http://www.osti.gov/bridge/servlets/purl/903083-HT5p1o/903083.pdf
diff --git a/docs/source/publications.rst b/docs/source/publications.rst
index 369b9d9775..66300dc52a 100644
--- a/docs/source/publications.rst
+++ b/docs/source/publications.rst
@@ -28,7 +28,7 @@ Benchmarking
 
 - Khurrum S. Chaudri and Sikander M. Mirza, "Burnup dependent Monte Carlo
   neutron physics calculations of IAEA MTR benchmark," *Prog. Nucl. Energy*,
-  **81**, 43-52 (2015). `<http://dx.doi.org/j.pnucene.2014.12.018>`_
+  **81**, 43-52 (2015). `<http://dx.doi.org/10.1016/j.pnucene.2014.12.018>`_
 
 - Daniel J. Kelly, Brian N. Aviles, Paul K. Romano, Bryan R. Herman,
   Nicholas E. Horelik, and Benoit Forget, "Analysis of select BEAVRS PWR
diff --git a/docs/source/pythonapi/ace.rst b/docs/source/pythonapi/ace.rst
deleted file mode 100644
index 4810ec4bbc..0000000000
--- a/docs/source/pythonapi/ace.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-.. _pythonapi_ace:
-
-==========
-ACE Format
-==========
-
-.. automodule:: openmc.ace
-    :members:
diff --git a/docs/source/pythonapi/cmfd.rst b/docs/source/pythonapi/cmfd.rst
deleted file mode 100644
index 51470069fe..0000000000
--- a/docs/source/pythonapi/cmfd.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-.. _pythonapi_cmfd:
-
-====
-CMFD
-====
-
-.. automodule:: openmc.cmfd
-    :members:
diff --git a/docs/source/pythonapi/element.rst b/docs/source/pythonapi/element.rst
deleted file mode 100644
index 473cbba45d..0000000000
--- a/docs/source/pythonapi/element.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-.. _pythonapi_element:
-
-=======
-Element
-=======
-
-.. automodule:: openmc.element
-    :members:
diff --git a/docs/source/pythonapi/energy_groups.rst b/docs/source/pythonapi/energy_groups.rst
deleted file mode 100644
index 28ca6f3fe2..0000000000
--- a/docs/source/pythonapi/energy_groups.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-.. _pythonapi_energy_groups:
-
-=============
-Energy Groups
-=============
-
-.. automodule:: openmc.mgxs.groups
-    :members:
diff --git a/docs/source/pythonapi/examples/mgxs-part-i.ipynb b/docs/source/pythonapi/examples/mgxs-part-i.ipynb
index 897af8e3ff..ea75bec722 100644
--- a/docs/source/pythonapi/examples/mgxs-part-i.ipynb
+++ b/docs/source/pythonapi/examples/mgxs-part-i.ipynb
@@ -141,13 +141,12 @@
    },
    "outputs": [],
    "source": [
+    "%matplotlib inline\n",
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
     "import openmc\n",
-    "import openmc.mgxs as mgxs\n",
-    "\n",
-    "%matplotlib inline"
+    "import openmc.mgxs as mgxs"
    ]
   },
   {
@@ -202,7 +201,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "With our material, we can now create a `MaterialsFile` object that can be exported to an actual XML file."
+    "With our material, we can now create a `Materials` object that can be exported to an actual XML file."
    ]
   },
   {
@@ -213,10 +212,9 @@
    },
    "outputs": [],
    "source": [
-    "# Instantiate a MaterialsFile, register all Materials, and export to XML\n",
-    "materials_file = openmc.MaterialsFile()\n",
+    "# Instantiate a Materials collection and export to XML\n",
+    "materials_file = openmc.Materials([inf_medium])\n",
     "materials_file.default_xs = '71c'\n",
-    "materials_file.add_material(inf_medium)\n",
     "materials_file.export_to_xml()"
    ]
   },
@@ -291,7 +289,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We now must create a geometry that is assigned a root universe, put the geometry into a `GeometryFile` object, and export it to XML."
+    "We now must create a geometry that is assigned a root universe and export it to XML."
    ]
   },
   {
@@ -306,12 +304,8 @@
     "openmc_geometry = openmc.Geometry()\n",
     "openmc_geometry.root_universe = root_universe\n",
     "\n",
-    "# Instantiate a GeometryFile\n",
-    "geometry_file = openmc.GeometryFile()\n",
-    "geometry_file.geometry = openmc_geometry\n",
-    "\n",
     "# Export to \"geometry.xml\"\n",
-    "geometry_file.export_to_xml()"
+    "openmc_geometry.export_to_xml()"
    ]
   },
   {
@@ -334,14 +328,17 @@
     "inactive = 10\n",
     "particles = 2500\n",
     "\n",
-    "# Instantiate a SettingsFile\n",
-    "settings_file = openmc.SettingsFile()\n",
+    "# Instantiate a Settings object\n",
+    "settings_file = openmc.Settings()\n",
     "settings_file.batches = batches\n",
     "settings_file.inactive = inactive\n",
     "settings_file.particles = particles\n",
-    "settings_file.output = {'tallies': True, 'summary': True}\n",
+    "settings_file.output = {'tallies': True}\n",
+    "\n",
+    "# Create an initial uniform spatial source distribution over fissionable zones\n",
     "bounds = [-0.63, -0.63, -0.63, 0.63, 0.63, 0.63]\n",
-    "settings_file.set_source_space('fission', bounds)\n",
+    "uniform_dist = openmc.stats.Box(bounds[:3], bounds[3:], only_fissionable=True)\n",
+    "settings_file.source = openmc.source.Source(space=uniform_dist)\n",
     "\n",
     "# Export to \"settings.xml\"\n",
     "settings_file.export_to_xml()"
@@ -375,10 +372,12 @@
     "\n",
     "* `TotalXS`\n",
     "* `TransportXS`\n",
+    "* `NuTransportXS`\n",
     "* `AbsorptionXS`\n",
     "* `CaptureXS`\n",
     "* `FissionXS`\n",
     "* `NuFissionXS`\n",
+    "* `KappaFissionXS`\n",
     "* `ScatterXS`\n",
     "* `NuScatterXS`\n",
     "* `ScatterMatrixXS`\n",
@@ -397,9 +396,9 @@
    "outputs": [],
    "source": [
     "# Instantiate a few different sections\n",
-    "total = mgxs.TotalXS(domain=cell, domain_type='cell', groups=groups)\n",
-    "absorption = mgxs.AbsorptionXS(domain=cell, domain_type='cell', groups=groups)\n",
-    "scattering = mgxs.ScatterXS(domain=cell, domain_type='cell', groups=groups)"
+    "total = mgxs.TotalXS(domain=cell, groups=groups)\n",
+    "absorption = mgxs.AbsorptionXS(domain=cell, groups=groups)\n",
+    "scattering = mgxs.ScatterXS(domain=cell, groups=groups)"
    ]
   },
   {
@@ -453,7 +452,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The `Absorption` object includes tracklength tallies for the 'absorption' and 'flux' scores in the 2-group structure in cell 1. Now that each `MGXS` object contains the tallies that it needs, we must add these tallies to a `TalliesFile` object to generate the \"tallies.xml\" input file for OpenMC."
+    "The `Absorption` object includes tracklength tallies for the 'absorption' and 'flux' scores in the 2-group structure in cell 1. Now that each `MGXS` object contains the tallies that it needs, we must add these tallies to a `Tallies` object to generate the \"tallies.xml\" input file for OpenMC."
    ]
   },
   {
@@ -464,21 +463,18 @@
    },
    "outputs": [],
    "source": [
-    "# Instantiate an empty TalliesFile\n",
-    "tallies_file = openmc.TalliesFile()\n",
+    "# Instantiate an empty Tallies object\n",
+    "tallies_file = openmc.Tallies()\n",
     "\n",
     "# Add total tallies to the tallies file\n",
-    "for tally in total.tallies.values():\n",
-    "    tallies_file.add_tally(tally)\n",
+    "tallies_file += total.tallies.values()\n",
     "\n",
     "# Add absorption tallies to the tallies file\n",
-    "for tally in absorption.tallies.values():\n",
-    "    tallies_file.add_tally(tally)\n",
+    "tallies_file += absorption.tallies.values()\n",
     "\n",
     "# Add scattering tallies to the tallies file\n",
-    "for tally in scattering.tallies.values():\n",
-    "    tallies_file.add_tally(tally)\n",
-    "                \n",
+    "tallies_file += scattering.tallies.values()\n",
+    "\n",
     "# Export to \"tallies.xml\"\n",
     "tallies_file.export_to_xml()"
    ]
@@ -514,11 +510,11 @@
       "                  888\n",
       "                  888\n",
       "\n",
-      "      Copyright:      2011-2015 Massachusetts Institute of Technology\n",
-      "      License:        http://mit-crpg.github.io/openmc/license.html\n",
-      "      Version:        0.7.0\n",
-      "      Git SHA1:       c4b14a5ef87f004528d35cbf33fef3ed15a386ca\n",
-      "      Date/Time:      2015-12-02 09:11:05\n",
+      "      Copyright:      2011-2016 Massachusetts Institute of Technology\n",
+      "      License:        http://openmc.readthedocs.io/en/latest/license.html\n",
+      "      Version:        0.7.1\n",
+      "      Git SHA1:       19feb55e6d5e8350398627f39fb55ee8e2e63011\n",
+      "      Date/Time:      2016-05-13 10:19:16\n",
       "      MPI Processes:  1\n",
       "\n",
       " ===========================================================================\n",
@@ -545,56 +541,56 @@
       "\n",
       "  Bat./Gen.      k            Average k         \n",
       "  =========   ========   ====================   \n",
-      "        1/1    1.19804                       \n",
-      "        2/1    1.12945                       \n",
-      "        3/1    1.15573                       \n",
-      "        4/1    1.13929                       \n",
-      "        5/1    1.16300                       \n",
-      "        6/1    1.22117                       \n",
-      "        7/1    1.19012                       \n",
-      "        8/1    1.11299                       \n",
-      "        9/1    1.16066                       \n",
-      "       10/1    1.12566                       \n",
-      "       11/1    1.20854                       \n",
-      "       12/1    1.14691    1.17773 +/- 0.03082\n",
-      "       13/1    1.17204    1.17583 +/- 0.01789\n",
-      "       14/1    1.14148    1.16724 +/- 0.01529\n",
-      "       15/1    1.17272    1.16834 +/- 0.01189\n",
-      "       16/1    1.18575    1.17124 +/- 0.01014\n",
-      "       17/1    1.20498    1.17606 +/- 0.00983\n",
-      "       18/1    1.14754    1.17249 +/- 0.00923\n",
-      "       19/1    1.18141    1.17348 +/- 0.00820\n",
-      "       20/1    1.15074    1.17121 +/- 0.00768\n",
-      "       21/1    1.15914    1.17011 +/- 0.00703\n",
-      "       22/1    1.14586    1.16809 +/- 0.00673\n",
-      "       23/1    1.18999    1.16978 +/- 0.00642\n",
-      "       24/1    1.15101    1.16844 +/- 0.00609\n",
-      "       25/1    1.13791    1.16640 +/- 0.00602\n",
-      "       26/1    1.19791    1.16837 +/- 0.00597\n",
-      "       27/1    1.19818    1.17012 +/- 0.00587\n",
-      "       28/1    1.14160    1.16854 +/- 0.00576\n",
-      "       29/1    1.11487    1.16571 +/- 0.00614\n",
-      "       30/1    1.17538    1.16620 +/- 0.00584\n",
-      "       31/1    1.20210    1.16791 +/- 0.00581\n",
-      "       32/1    1.20078    1.16940 +/- 0.00574\n",
-      "       33/1    1.14624    1.16839 +/- 0.00558\n",
-      "       34/1    1.14618    1.16747 +/- 0.00542\n",
-      "       35/1    1.16866    1.16752 +/- 0.00520\n",
-      "       36/1    1.18565    1.16821 +/- 0.00504\n",
-      "       37/1    1.16824    1.16821 +/- 0.00485\n",
-      "       38/1    1.18299    1.16874 +/- 0.00471\n",
-      "       39/1    1.21418    1.17031 +/- 0.00480\n",
-      "       40/1    1.11167    1.16835 +/- 0.00504\n",
-      "       41/1    1.11545    1.16665 +/- 0.00516\n",
-      "       42/1    1.11114    1.16491 +/- 0.00529\n",
-      "       43/1    1.14227    1.16423 +/- 0.00517\n",
-      "       44/1    1.14104    1.16355 +/- 0.00506\n",
-      "       45/1    1.16756    1.16366 +/- 0.00492\n",
-      "       46/1    1.13065    1.16274 +/- 0.00487\n",
-      "       47/1    1.11251    1.16139 +/- 0.00492\n",
-      "       48/1    1.14731    1.16101 +/- 0.00481\n",
-      "       49/1    1.16691    1.16117 +/- 0.00469\n",
-      "       50/1    1.19679    1.16206 +/- 0.00465\n",
+      "        1/1    1.11184                       \n",
+      "        2/1    1.15820                       \n",
+      "        3/1    1.18468                       \n",
+      "        4/1    1.17492                       \n",
+      "        5/1    1.19645                       \n",
+      "        6/1    1.18436                       \n",
+      "        7/1    1.14070                       \n",
+      "        8/1    1.15150                       \n",
+      "        9/1    1.19202                       \n",
+      "       10/1    1.17677                       \n",
+      "       11/1    1.20272                       \n",
+      "       12/1    1.21366    1.20819 +/- 0.00547\n",
+      "       13/1    1.15906    1.19181 +/- 0.01668\n",
+      "       14/1    1.14687    1.18058 +/- 0.01629\n",
+      "       15/1    1.14570    1.17360 +/- 0.01442\n",
+      "       16/1    1.13480    1.16713 +/- 0.01343\n",
+      "       17/1    1.17680    1.16852 +/- 0.01144\n",
+      "       18/1    1.16866    1.16853 +/- 0.00990\n",
+      "       19/1    1.19253    1.17120 +/- 0.00913\n",
+      "       20/1    1.18124    1.17220 +/- 0.00823\n",
+      "       21/1    1.19206    1.17401 +/- 0.00766\n",
+      "       22/1    1.17681    1.17424 +/- 0.00700\n",
+      "       23/1    1.17634    1.17440 +/- 0.00644\n",
+      "       24/1    1.13659    1.17170 +/- 0.00654\n",
+      "       25/1    1.17144    1.17169 +/- 0.00609\n",
+      "       26/1    1.20649    1.17386 +/- 0.00610\n",
+      "       27/1    1.11238    1.17024 +/- 0.00678\n",
+      "       28/1    1.18911    1.17129 +/- 0.00647\n",
+      "       29/1    1.14681    1.17000 +/- 0.00626\n",
+      "       30/1    1.12152    1.16758 +/- 0.00641\n",
+      "       31/1    1.12729    1.16566 +/- 0.00639\n",
+      "       32/1    1.15399    1.16513 +/- 0.00612\n",
+      "       33/1    1.13547    1.16384 +/- 0.00599\n",
+      "       34/1    1.17723    1.16440 +/- 0.00576\n",
+      "       35/1    1.09296    1.16154 +/- 0.00622\n",
+      "       36/1    1.19621    1.16287 +/- 0.00612\n",
+      "       37/1    1.12560    1.16149 +/- 0.00605\n",
+      "       38/1    1.17872    1.16211 +/- 0.00586\n",
+      "       39/1    1.17721    1.16263 +/- 0.00568\n",
+      "       40/1    1.13724    1.16178 +/- 0.00555\n",
+      "       41/1    1.18526    1.16254 +/- 0.00542\n",
+      "       42/1    1.13779    1.16177 +/- 0.00531\n",
+      "       43/1    1.15066    1.16143 +/- 0.00516\n",
+      "       44/1    1.12174    1.16026 +/- 0.00514\n",
+      "       45/1    1.17479    1.16068 +/- 0.00501\n",
+      "       46/1    1.14146    1.16014 +/- 0.00489\n",
+      "       47/1    1.20464    1.16135 +/- 0.00491\n",
+      "       48/1    1.15119    1.16108 +/- 0.00479\n",
+      "       49/1    1.17938    1.16155 +/- 0.00468\n",
+      "       50/1    1.15798    1.16146 +/- 0.00457\n",
       " Creating state point statepoint.50.h5...\n",
       "\n",
       " ===========================================================================\n",
@@ -604,27 +600,27 @@
       "\n",
       " =======================>     TIMING STATISTICS     <=======================\n",
       "\n",
-      " Total time for initialization     =  4.1700E-01 seconds\n",
-      "   Reading cross sections          =  8.9000E-02 seconds\n",
-      " Total time in simulation          =  1.4728E+01 seconds\n",
-      "   Time in transport only          =  1.4712E+01 seconds\n",
-      "   Time in inactive batches        =  1.7890E+00 seconds\n",
-      "   Time in active batches          =  1.2939E+01 seconds\n",
+      " Total time for initialization     =  4.2300E-01 seconds\n",
+      "   Reading cross sections          =  9.3000E-02 seconds\n",
+      " Total time in simulation          =  1.6549E+01 seconds\n",
+      "   Time in transport only          =  1.6535E+01 seconds\n",
+      "   Time in inactive batches        =  2.3650E+00 seconds\n",
+      "   Time in active batches          =  1.4184E+01 seconds\n",
       "   Time synchronizing fission bank =  5.0000E-03 seconds\n",
       "     Sampling source sites         =  3.0000E-03 seconds\n",
-      "     SEND/RECV source sites        =  2.0000E-03 seconds\n",
-      "   Time accumulating tallies       =  1.0000E-03 seconds\n",
-      " Total time for finalization       =  1.0000E-03 seconds\n",
-      " Total time elapsed                =  1.5155E+01 seconds\n",
-      " Calculation Rate (inactive)       =  13974.3 neutrons/second\n",
-      " Calculation Rate (active)         =  7728.57 neutrons/second\n",
+      "     SEND/RECV source sites        =  0.0000E+00 seconds\n",
+      "   Time accumulating tallies       =  0.0000E+00 seconds\n",
+      " Total time for finalization       =  0.0000E+00 seconds\n",
+      " Total time elapsed                =  1.6981E+01 seconds\n",
+      " Calculation Rate (inactive)       =  10570.8 neutrons/second\n",
+      " Calculation Rate (active)         =  7050.20 neutrons/second\n",
       "\n",
       " ============================>     RESULTS     <============================\n",
       "\n",
-      " k-effective (Collision)     =  1.16131 +/-  0.00453\n",
-      " k-effective (Track-length)  =  1.16206 +/-  0.00465\n",
-      " k-effective (Absorption)    =  1.16096 +/-  0.00364\n",
-      " Combined k-effective        =  1.16120 +/-  0.00325\n",
+      " k-effective (Collision)     =  1.15984 +/-  0.00411\n",
+      " k-effective (Track-length)  =  1.16146 +/-  0.00457\n",
+      " k-effective (Absorption)    =  1.16177 +/-  0.00380\n",
+      " Combined k-effective        =  1.16105 +/-  0.00364\n",
       " Leakage Fraction            =  0.00000 +/-  0.00000\n",
       "\n"
      ]
@@ -642,8 +638,7 @@
    ],
    "source": [
     "# Run OpenMC\n",
-    "executor = openmc.Executor()\n",
-    "executor.run_simulation()"
+    "openmc.run()"
    ]
   },
   {
@@ -676,20 +671,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In addition to the statepoint file, our simulation also created a summary file which encapsulates information about the materials and geometry. This is necessary for the `openmc.mgxs` module to properly process the tally data. We first create a `Summary` object and link it with the statepoint."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# Load the summary file and link it with the statepoint\n",
-    "su = openmc.Summary('summary.h5')\n",
-    "sp.link_with_summary(su)"
+    "In addition to the statepoint file, our simulation also created a summary file which encapsulates information about the materials and geometry. By default, a `Summary` object is automatically linked when a `StatePoint` is loaded. This is necessary for the `openmc.mgxs` module to properly process the tally data."
    ]
   },
   {
@@ -701,7 +683,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 17,
    "metadata": {
     "collapsed": false
    },
@@ -736,7 +718,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 18,
    "metadata": {
     "collapsed": false
    },
@@ -750,8 +732,8 @@
       "\tDomain Type    =\tcell\n",
       "\tDomain ID      =\t1\n",
       "\tCross Sections [cm^-1]:\n",
-      "            Group 1 [6.25e-07   - 20.0      MeV]:\t6.81e-01 +/- 1.88e-01%\n",
-      "            Group 2 [0.0        - 6.25e-07  MeV]:\t1.40e+00 +/- 5.91e-01%\n",
+      "            Group 1 [6.25e-07   - 20.0      MeV]:\t6.81e-01 +/- 2.69e-01%\n",
+      "            Group 2 [0.0        - 6.25e-07  MeV]:\t1.40e+00 +/- 5.93e-01%\n",
       "\n",
       "\n",
       "\n"
@@ -771,7 +753,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 19,
    "metadata": {
     "collapsed": false
    },
@@ -797,16 +779,16 @@
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>total</td>\n",
-       "      <td>0.668323</td>\n",
-       "      <td>0.001264</td>\n",
+       "      <td>0.667787</td>\n",
+       "      <td>0.001802</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>1</td>\n",
        "      <td>2</td>\n",
        "      <td>total</td>\n",
-       "      <td>1.293258</td>\n",
-       "      <td>0.007624</td>\n",
+       "      <td>1.292013</td>\n",
+       "      <td>0.007642</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -814,11 +796,11 @@
       ],
       "text/plain": [
        "   cell  group in nuclide      mean  std. dev.\n",
-       "1     1         1   total  0.668323   0.001264\n",
-       "0     1         2   total  1.293258   0.007624"
+       "1     1         1   total  0.667787   0.001802\n",
+       "0     1         2   total  1.292013   0.007642"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -837,7 +819,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 20,
    "metadata": {
     "collapsed": true
    },
@@ -855,7 +837,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 21,
    "metadata": {
     "collapsed": false
    },
@@ -882,7 +864,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 22,
    "metadata": {
     "collapsed": false
    },
@@ -896,7 +878,8 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>cell</th>\n",
-       "      <th>energy [MeV]</th>\n",
+       "      <th>energy low [MeV]</th>\n",
+       "      <th>energy high [MeV]</th>\n",
        "      <th>nuclide</th>\n",
        "      <th>score</th>\n",
        "      <th>mean</th>\n",
@@ -907,36 +890,38 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>1</td>\n",
-       "      <td>(0.0e+00 - 6.3e-07)</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>6.250000e-07</td>\n",
        "      <td>total</td>\n",
        "      <td>(((total / flux) - (absorption / flux)) - (sca...</td>\n",
-       "      <td>4.884981e-15</td>\n",
-       "      <td>0.011274</td>\n",
+       "      <td>-3.774758e-15</td>\n",
+       "      <td>0.011292</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>1</td>\n",
-       "      <td>(6.3e-07 - 2.0e+01)</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>2.000000e+01</td>\n",
        "      <td>total</td>\n",
        "      <td>(((total / flux) - (absorption / flux)) - (sca...</td>\n",
-       "      <td>1.221245e-15</td>\n",
-       "      <td>0.001802</td>\n",
+       "      <td>1.443290e-15</td>\n",
+       "      <td>0.002570</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   cell         energy [MeV] nuclide  \\\n",
-       "0     1  (0.0e+00 - 6.3e-07)   total   \n",
-       "1     1  (6.3e-07 - 2.0e+01)   total   \n",
+       "   cell  energy low [MeV]  energy high [MeV] nuclide  \\\n",
+       "0     1          0.00e+00           6.25e-07   total   \n",
+       "1     1          6.25e-07           2.00e+01   total   \n",
        "\n",
-       "                                               score          mean  std. dev.  \n",
-       "0  (((total / flux) - (absorption / flux)) - (sca...  4.884981e-15   0.011274  \n",
-       "1  (((total / flux) - (absorption / flux)) - (sca...  1.221245e-15   0.001802  "
+       "                                               score      mean  std. dev.  \n",
+       "0  (((total / flux) - (absorption / flux)) - (sca... -3.77e-15   1.13e-02  \n",
+       "1  (((total / flux) - (absorption / flux)) - (sca...  1.44e-15   2.57e-03  "
       ]
      },
-     "execution_count": 23,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -958,7 +943,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 23,
    "metadata": {
     "collapsed": false
    },
@@ -972,7 +957,8 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>cell</th>\n",
-       "      <th>energy [MeV]</th>\n",
+       "      <th>energy low [MeV]</th>\n",
+       "      <th>energy high [MeV]</th>\n",
        "      <th>nuclide</th>\n",
        "      <th>score</th>\n",
        "      <th>mean</th>\n",
@@ -983,36 +969,38 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>1</td>\n",
-       "      <td>(0.0e+00 - 6.3e-07)</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>6.250000e-07</td>\n",
        "      <td>total</td>\n",
        "      <td>((absorption / flux) / (total / flux))</td>\n",
-       "      <td>0.076219</td>\n",
-       "      <td>0.000651</td>\n",
+       "      <td>0.076115</td>\n",
+       "      <td>0.000649</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>1</td>\n",
-       "      <td>(6.3e-07 - 2.0e+01)</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>2.000000e+01</td>\n",
        "      <td>total</td>\n",
        "      <td>((absorption / flux) / (total / flux))</td>\n",
-       "      <td>0.019319</td>\n",
-       "      <td>0.000086</td>\n",
+       "      <td>0.019263</td>\n",
+       "      <td>0.000095</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   cell         energy [MeV] nuclide                                   score  \\\n",
-       "0     1  (0.0e+00 - 6.3e-07)   total  ((absorption / flux) / (total / flux))   \n",
-       "1     1  (6.3e-07 - 2.0e+01)   total  ((absorption / flux) / (total / flux))   \n",
+       "   cell  energy low [MeV]  energy high [MeV] nuclide  \\\n",
+       "0     1          0.00e+00           6.25e-07   total   \n",
+       "1     1          6.25e-07           2.00e+01   total   \n",
        "\n",
-       "       mean  std. dev.  \n",
-       "0  0.076219   0.000651  \n",
-       "1  0.019319   0.000086  "
+       "                                    score     mean  std. dev.  \n",
+       "0  ((absorption / flux) / (total / flux)) 7.61e-02   6.49e-04  \n",
+       "1  ((absorption / flux) / (total / flux)) 1.93e-02   9.46e-05  "
       ]
      },
-     "execution_count": 24,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1027,7 +1015,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 24,
    "metadata": {
     "collapsed": false
    },
@@ -1041,7 +1029,8 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>cell</th>\n",
-       "      <th>energy [MeV]</th>\n",
+       "      <th>energy low [MeV]</th>\n",
+       "      <th>energy high [MeV]</th>\n",
        "      <th>nuclide</th>\n",
        "      <th>score</th>\n",
        "      <th>mean</th>\n",
@@ -1052,36 +1041,38 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>1</td>\n",
-       "      <td>(0.0e+00 - 6.3e-07)</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>6.250000e-07</td>\n",
        "      <td>total</td>\n",
        "      <td>((scatter / flux) / (total / flux))</td>\n",
-       "      <td>0.923781</td>\n",
-       "      <td>0.007714</td>\n",
+       "      <td>0.923885</td>\n",
+       "      <td>0.007736</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>1</td>\n",
-       "      <td>(6.3e-07 - 2.0e+01)</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>2.000000e+01</td>\n",
        "      <td>total</td>\n",
        "      <td>((scatter / flux) / (total / flux))</td>\n",
-       "      <td>0.980681</td>\n",
-       "      <td>0.002617</td>\n",
+       "      <td>0.980737</td>\n",
+       "      <td>0.003737</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   cell         energy [MeV] nuclide                                score  \\\n",
-       "0     1  (0.0e+00 - 6.3e-07)   total  ((scatter / flux) / (total / flux))   \n",
-       "1     1  (6.3e-07 - 2.0e+01)   total  ((scatter / flux) / (total / flux))   \n",
+       "   cell  energy low [MeV]  energy high [MeV] nuclide  \\\n",
+       "0     1          0.00e+00           6.25e-07   total   \n",
+       "1     1          6.25e-07           2.00e+01   total   \n",
        "\n",
-       "       mean  std. dev.  \n",
-       "0  0.923781   0.007714  \n",
-       "1  0.980681   0.002617  "
+       "                                 score     mean  std. dev.  \n",
+       "0  ((scatter / flux) / (total / flux)) 9.24e-01   7.74e-03  \n",
+       "1  ((scatter / flux) / (total / flux)) 9.81e-01   3.74e-03  "
       ]
      },
-     "execution_count": 25,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1103,7 +1094,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 25,
    "metadata": {
     "collapsed": false
    },
@@ -1117,7 +1108,8 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>cell</th>\n",
-       "      <th>energy [MeV]</th>\n",
+       "      <th>energy low [MeV]</th>\n",
+       "      <th>energy high [MeV]</th>\n",
        "      <th>nuclide</th>\n",
        "      <th>score</th>\n",
        "      <th>mean</th>\n",
@@ -1128,36 +1120,38 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>1</td>\n",
-       "      <td>(0.0e+00 - 6.3e-07)</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>6.250000e-07</td>\n",
        "      <td>total</td>\n",
        "      <td>(((absorption / flux) / (total / flux)) + ((sc...</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.007741</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.007763</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>1</td>\n",
-       "      <td>(6.3e-07 - 2.0e+01)</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>2.000000e+01</td>\n",
        "      <td>total</td>\n",
        "      <td>(((absorption / flux) / (total / flux)) + ((sc...</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.002619</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.003739</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   cell         energy [MeV] nuclide  \\\n",
-       "0     1  (0.0e+00 - 6.3e-07)   total   \n",
-       "1     1  (6.3e-07 - 2.0e+01)   total   \n",
+       "   cell  energy low [MeV]  energy high [MeV] nuclide  \\\n",
+       "0     1          0.00e+00           6.25e-07   total   \n",
+       "1     1          6.25e-07           2.00e+01   total   \n",
        "\n",
-       "                                               score  mean  std. dev.  \n",
-       "0  (((absorption / flux) / (total / flux)) + ((sc...     1   0.007741  \n",
-       "1  (((absorption / flux) / (total / flux)) + ((sc...     1   0.002619  "
+       "                                               score     mean  std. dev.  \n",
+       "0  (((absorption / flux) / (total / flux)) + ((sc... 1.00e+00   7.76e-03  \n",
+       "1  (((absorption / flux) / (total / flux)) + ((sc... 1.00e+00   3.74e-03  "
       ]
      },
-     "execution_count": 26,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/docs/source/pythonapi/examples/mgxs-part-ii.ipynb b/docs/source/pythonapi/examples/mgxs-part-ii.ipynb
index 6194b154ac..b882e949c5 100644
--- a/docs/source/pythonapi/examples/mgxs-part-ii.ipynb
+++ b/docs/source/pythonapi/examples/mgxs-part-ii.ipynb
@@ -13,7 +13,7 @@
     "* The use of **[PyNE](http://pyne.io/) to plot** continuous-energy vs. multi-group cross sections\n",
     "* **Validation** of multi-group cross sections with **[OpenMOC](https://mit-crpg.github.io/OpenMOC/)**\n",
     "\n",
-    "**Note:** This Notebook was created using [OpenMOC](https://mit-crpg.github.io/OpenMOC/) to verify the multi-group cross-sections generated by OpenMC. In order to run this Notebook in its entirety, you must have [OpenMOC](https://mit-crpg.github.io/OpenMOC/) installed on your system, along with OpenCG to convert the OpenMC geometries into OpenMOC geometries. In addition, this Notebook illustrates the use of [Pandas](http://pandas.pydata.org/) `DataFrames` to containerize multi-group cross section data. We recommend using [Pandas](http://pandas.pydata.org/) >v0.15.0 or later since OpenMC's Python API leverages the multi-indexing feature included in the most recent releases of [Pandas](http://pandas.pydata.org/)."
+    "**Note:** This Notebook was created using [OpenMOC](https://mit-crpg.github.io/OpenMOC/) to verify the multi-group cross-sections generated by OpenMC. In order to run this Notebook in its entirety, you must have [OpenMOC](https://mit-crpg.github.io/OpenMOC/) installed on your system, along with OpenCG to convert the OpenMC geometries into OpenMOC geometries. In addition, this Notebook illustrates the use of [Pandas](http://pandas.pydata.org/) `DataFrames` to containerize multi-group cross section data."
    ]
   },
   {
@@ -34,7 +34,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/usr/lib/pymodules/python2.7/matplotlib/__init__.py:1173: UserWarning:  This call to matplotlib.use() has no effect\n",
+      "/usr/local/lib/python2.7/dist-packages/matplotlib-1.5.1+1178.ga40c9ec-py2.7-linux-x86_64.egg/matplotlib/__init__.py:884: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.\n",
+      "  warnings.warn(self.msg_depr % (key, alt_key))\n",
+      "/usr/local/lib/python2.7/dist-packages/matplotlib-1.5.1+1178.ga40c9ec-py2.7-linux-x86_64.egg/matplotlib/__init__.py:1362: UserWarning:  This call to matplotlib.use() has no effect\n",
       "because the backend has already been chosen;\n",
       "matplotlib.use() must be called *before* pylab, matplotlib.pyplot,\n",
       "or matplotlib.backends is imported for the first time.\n",
@@ -53,7 +55,7 @@
     "import openmc\n",
     "import openmc.mgxs as mgxs\n",
     "import openmoc\n",
-    "from openmoc.compatible import get_openmoc_geometry\n",
+    "from openmoc.opencg_compatible import get_openmoc_geometry\n",
     "import pyne.ace\n",
     "\n",
     "%matplotlib inline"
@@ -120,7 +122,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "With our materials, we can now create a `MaterialsFile` object that can be exported to an actual XML file."
+    "With our materials, we can now create a `Materials` object that can be exported to an actual XML file."
    ]
   },
   {
@@ -131,11 +133,8 @@
    },
    "outputs": [],
    "source": [
-    "# Instantiate a MaterialsFile, add Materials\n",
-    "materials_file = openmc.MaterialsFile()\n",
-    "materials_file.add_material(fuel)\n",
-    "materials_file.add_material(water)\n",
-    "materials_file.add_material(zircaloy)\n",
+    "# Instantiate a Materials collection\n",
+    "materials_file = openmc.Materials((fuel, water, zircaloy))\n",
     "materials_file.default_xs = '71c'\n",
     "\n",
     "# Export to \"materials.xml\"\n",
@@ -236,7 +235,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We now must create a geometry that is assigned a root universe, put the geometry into a `GeometryFile` object, and export it to XML."
+    "We now must create a geometry that is assigned a root universe and export it to XML."
    ]
   },
   {
@@ -251,12 +250,8 @@
     "openmc_geometry = openmc.Geometry()\n",
     "openmc_geometry.root_universe = root_universe\n",
     "\n",
-    "# Instantiate a GeometryFile\n",
-    "geometry_file = openmc.GeometryFile()\n",
-    "geometry_file.geometry = openmc_geometry\n",
-    "\n",
     "# Export to \"geometry.xml\"\n",
-    "geometry_file.export_to_xml()"
+    "openmc_geometry.export_to_xml()"
    ]
   },
   {
@@ -279,14 +274,17 @@
     "inactive = 10\n",
     "particles = 10000\n",
     "\n",
-    "# Instantiate a SettingsFile\n",
-    "settings_file = openmc.SettingsFile()\n",
+    "# Instantiate a Settings object\n",
+    "settings_file = openmc.Settings()\n",
     "settings_file.batches = batches\n",
     "settings_file.inactive = inactive\n",
     "settings_file.particles = particles\n",
-    "settings_file.output = {'tallies': True, 'summary': True}\n",
+    "settings_file.output = {'tallies': True}\n",
+    "\n",
+    "# Create an initial uniform spatial source distribution over fissionable zones\n",
     "bounds = [-0.63, -0.63, -0.63, 0.63, 0.63, 0.63]\n",
-    "settings_file.set_source_space('fission', bounds)\n",
+    "uniform_dist = openmc.stats.Box(bounds[:3], bounds[3:], only_fissionable=True)\n",
+    "settings_file.source = openmc.source.Source(space=uniform_dist)\n",
     "\n",
     "# Activate tally precision triggers\n",
     "settings_file.trigger_active = True\n",
@@ -391,23 +389,22 @@
    },
    "outputs": [],
    "source": [
-    "# Instantiate an empty TalliesFile\n",
-    "tallies_file = openmc.TalliesFile()\n",
+    "# Instantiate an empty Tallies object\n",
+    "tallies_file = openmc.Tallies()\n",
     "\n",
     "# Iterate over all cells and cross section types\n",
     "for cell in openmc_cells:\n",
     "    for rxn_type in xs_library[cell.id]:\n",
     "\n",
-    "        # Set the cross sections domain type to the cell\n",
+    "        # Set the cross sections domain to the cell\n",
     "        xs_library[cell.id][rxn_type].domain = cell\n",
-    "        xs_library[cell.id][rxn_type].domain_type = 'cell'\n",
     "        \n",
     "        # Tally cross sections by nuclide\n",
     "        xs_library[cell.id][rxn_type].by_nuclide = True\n",
     "                \n",
     "        # Add OpenMC tallies to the tallies file for XML generation\n",
     "        for tally in xs_library[cell.id][rxn_type].tallies.values():\n",
-    "            tallies_file.add_tally(tally, merge=True)\n",
+    "            tallies_file.append(tally, merge=True)\n",
     "\n",
     "# Export to \"tallies.xml\"\n",
     "tallies_file.export_to_xml()"
@@ -444,12 +441,12 @@
       "                  888\n",
       "                  888\n",
       "\n",
-      "      Copyright:      2011-2015 Massachusetts Institute of Technology\n",
-      "      License:        http://mit-crpg.github.io/openmc/license.html\n",
-      "      Version:        0.7.0\n",
-      "      Git SHA1:       c4b14a5ef87f004528d35cbf33fef3ed15a386ca\n",
-      "      Date/Time:      2015-12-02 09:13:42\n",
-      "      MPI Processes:  3\n",
+      "      Copyright:      2011-2016 Massachusetts Institute of Technology\n",
+      "      License:        http://openmc.readthedocs.io/en/latest/license.html\n",
+      "      Version:        0.7.1\n",
+      "      Git SHA1:       19feb55e6d5e8350398627f39fb55ee8e2e63011\n",
+      "      Date/Time:      2016-05-13 10:13:48\n",
+      "      MPI Processes:  1\n",
       "\n",
       " ===========================================================================\n",
       " ========================>     INITIALIZATION     <=========================\n",
@@ -475,91 +472,87 @@
       "\n",
       "  Bat./Gen.      k            Average k         \n",
       "  =========   ========   ====================   \n",
-      "        1/1    1.22593                       \n",
-      "        2/1    1.24245                       \n",
-      "        3/1    1.24545                       \n",
-      "        4/1    1.21868                       \n",
-      "        5/1    1.22429                       \n",
-      "        6/1    1.22607                       \n",
-      "        7/1    1.21456                       \n",
-      "        8/1    1.23816                       \n",
-      "        9/1    1.25060                       \n",
-      "       10/1    1.22806                       \n",
-      "       11/1    1.19821                       \n",
-      "       12/1    1.19897    1.19859 +/- 0.00038\n",
-      "       13/1    1.22119    1.20612 +/- 0.00754\n",
-      "       14/1    1.20701    1.20634 +/- 0.00533\n",
-      "       15/1    1.24784    1.21464 +/- 0.00927\n",
-      "       16/1    1.22413    1.21622 +/- 0.00773\n",
-      "       17/1    1.25050    1.22112 +/- 0.00817\n",
-      "       18/1    1.22006    1.22099 +/- 0.00707\n",
-      "       19/1    1.22813    1.22178 +/- 0.00629\n",
-      "       20/1    1.22791    1.22239 +/- 0.00566\n",
-      "       21/1    1.22729    1.22284 +/- 0.00514\n",
-      "       22/1    1.19867    1.22083 +/- 0.00510\n",
-      "       23/1    1.23796    1.22214 +/- 0.00488\n",
-      "       24/1    1.22412    1.22228 +/- 0.00452\n",
-      "       25/1    1.22638    1.22256 +/- 0.00421\n",
-      "       26/1    1.22181    1.22251 +/- 0.00394\n",
-      "       27/1    1.19055    1.22063 +/- 0.00415\n",
-      "       28/1    1.20683    1.21986 +/- 0.00399\n",
-      "       29/1    1.21689    1.21971 +/- 0.00378\n",
-      "       30/1    1.23670    1.22056 +/- 0.00368\n",
-      "       31/1    1.21396    1.22024 +/- 0.00352\n",
-      "       32/1    1.21389    1.21995 +/- 0.00337\n",
-      "       33/1    1.24649    1.22111 +/- 0.00342\n",
-      "       34/1    1.23204    1.22156 +/- 0.00330\n",
-      "       35/1    1.20768    1.22101 +/- 0.00322\n",
-      "       36/1    1.22271    1.22107 +/- 0.00309\n",
-      "       37/1    1.21796    1.22096 +/- 0.00298\n",
-      "       38/1    1.23842    1.22158 +/- 0.00293\n",
-      "       39/1    1.23080    1.22190 +/- 0.00285\n",
-      "       40/1    1.23572    1.22236 +/- 0.00279\n",
-      "       41/1    1.21691    1.22218 +/- 0.00271\n",
-      "       42/1    1.24616    1.22293 +/- 0.00272\n",
-      "       43/1    1.21903    1.22282 +/- 0.00264\n",
-      "       44/1    1.22967    1.22302 +/- 0.00257\n",
-      "       45/1    1.22053    1.22295 +/- 0.00250\n",
-      "       46/1    1.24087    1.22344 +/- 0.00248\n",
-      "       47/1    1.20251    1.22288 +/- 0.00248\n",
-      "       48/1    1.20331    1.22236 +/- 0.00246\n",
-      "       49/1    1.22724    1.22249 +/- 0.00240\n",
-      "       50/1    1.24798    1.22313 +/- 0.00243\n",
-      " Triggers unsatisfied, max unc./thresh. is 1.32110 for scatter-p1 in tally 10054\n",
-      " The estimated number of batches is 80\n",
+      "        1/1    1.20332                       \n",
+      "        2/1    1.22209                       \n",
+      "        3/1    1.24309                       \n",
+      "        4/1    1.22833                       \n",
+      "        5/1    1.21786                       \n",
+      "        6/1    1.22005                       \n",
+      "        7/1    1.20894                       \n",
+      "        8/1    1.22071                       \n",
+      "        9/1    1.21279                       \n",
+      "       10/1    1.22198                       \n",
+      "       11/1    1.22287                       \n",
+      "       12/1    1.25490    1.23888 +/- 0.01602\n",
+      "       13/1    1.20224    1.22667 +/- 0.01532\n",
+      "       14/1    1.23375    1.22844 +/- 0.01098\n",
+      "       15/1    1.23068    1.22889 +/- 0.00851\n",
+      "       16/1    1.23073    1.22920 +/- 0.00696\n",
+      "       17/1    1.25364    1.23269 +/- 0.00684\n",
+      "       18/1    1.20820    1.22963 +/- 0.00667\n",
+      "       19/1    1.23138    1.22982 +/- 0.00588\n",
+      "       20/1    1.20682    1.22752 +/- 0.00574\n",
+      "       21/1    1.23580    1.22827 +/- 0.00525\n",
+      "       22/1    1.24190    1.22941 +/- 0.00492\n",
+      "       23/1    1.23125    1.22955 +/- 0.00453\n",
+      "       24/1    1.21606    1.22859 +/- 0.00430\n",
+      "       25/1    1.23653    1.22912 +/- 0.00404\n",
+      "       26/1    1.23850    1.22970 +/- 0.00383\n",
+      "       27/1    1.20986    1.22853 +/- 0.00378\n",
+      "       28/1    1.25277    1.22988 +/- 0.00381\n",
+      "       29/1    1.23334    1.23006 +/- 0.00361\n",
+      "       30/1    1.24345    1.23073 +/- 0.00349\n",
+      "       31/1    1.21565    1.23001 +/- 0.00339\n",
+      "       32/1    1.20555    1.22890 +/- 0.00342\n",
+      "       33/1    1.22995    1.22895 +/- 0.00327\n",
+      "       34/1    1.19763    1.22764 +/- 0.00339\n",
+      "       35/1    1.22645    1.22760 +/- 0.00325\n",
+      "       36/1    1.23900    1.22803 +/- 0.00316\n",
+      "       37/1    1.24305    1.22859 +/- 0.00309\n",
+      "       38/1    1.22484    1.22846 +/- 0.00298\n",
+      "       39/1    1.20986    1.22782 +/- 0.00294\n",
+      "       40/1    1.23764    1.22814 +/- 0.00286\n",
+      "       41/1    1.20476    1.22739 +/- 0.00287\n",
+      "       42/1    1.21652    1.22705 +/- 0.00280\n",
+      "       43/1    1.21279    1.22662 +/- 0.00275\n",
+      "       44/1    1.20210    1.22590 +/- 0.00276\n",
+      "       45/1    1.22644    1.22591 +/- 0.00268\n",
+      "       46/1    1.22907    1.22600 +/- 0.00261\n",
+      "       47/1    1.24057    1.22639 +/- 0.00257\n",
+      "       48/1    1.21610    1.22612 +/- 0.00251\n",
+      "       49/1    1.22199    1.22602 +/- 0.00245\n",
+      "       50/1    1.20860    1.22558 +/- 0.00243\n",
+      " Triggers unsatisfied, max unc./thresh. is 1.25496 for flux in tally 10051\n",
+      " The estimated number of batches is 73\n",
       " Creating state point statepoint.050.h5...\n",
-      "       51/1    1.22253    1.22311 +/- 0.00237\n",
-      "       52/1    1.24330    1.22359 +/- 0.00236\n",
-      "       53/1    1.23251    1.22380 +/- 0.00231\n",
-      "       54/1    1.21133    1.22352 +/- 0.00228\n",
-      "       55/1    1.24503    1.22399 +/- 0.00228\n",
-      "       56/1    1.22013    1.22391 +/- 0.00223\n",
-      "       57/1    1.23877    1.22423 +/- 0.00220\n",
-      "       58/1    1.23793    1.22451 +/- 0.00218\n",
-      "       59/1    1.21018    1.22422 +/- 0.00215\n",
-      "       60/1    1.22417    1.22422 +/- 0.00211\n",
-      "       61/1    1.23094    1.22435 +/- 0.00207\n",
-      "       62/1    1.23310    1.22452 +/- 0.00204\n",
-      "       63/1    1.22488    1.22453 +/- 0.00200\n",
-      "       64/1    1.22702    1.22457 +/- 0.00196\n",
-      "       65/1    1.18834    1.22391 +/- 0.00204\n",
-      "       66/1    1.23112    1.22404 +/- 0.00200\n",
-      "       67/1    1.21611    1.22390 +/- 0.00197\n",
-      "       68/1    1.22513    1.22392 +/- 0.00194\n",
-      "       69/1    1.21741    1.22381 +/- 0.00191\n",
-      "       70/1    1.22484    1.22383 +/- 0.00188\n",
-      "       71/1    1.19662    1.22338 +/- 0.00190\n",
-      "       72/1    1.23315    1.22354 +/- 0.00187\n",
-      "       73/1    1.22796    1.22361 +/- 0.00185\n",
-      "       74/1    1.21417    1.22346 +/- 0.00182\n",
-      "       75/1    1.21020    1.22326 +/- 0.00181\n",
-      "       76/1    1.23413    1.22343 +/- 0.00179\n",
-      "       77/1    1.22184    1.22340 +/- 0.00176\n",
-      "       78/1    1.20309    1.22310 +/- 0.00176\n",
-      "       79/1    1.23458    1.22327 +/- 0.00174\n",
-      "       80/1    1.20724    1.22304 +/- 0.00173\n",
-      " Triggers satisfied for batch 80\n",
-      " Creating state point statepoint.080.h5...\n",
+      "       51/1    1.21850    1.22541 +/- 0.00237\n",
+      "       52/1    1.22833    1.22548 +/- 0.00232\n",
+      "       53/1    1.20239    1.22494 +/- 0.00233\n",
+      "       54/1    1.24876    1.22548 +/- 0.00234\n",
+      "       55/1    1.20670    1.22506 +/- 0.00232\n",
+      "       56/1    1.24260    1.22545 +/- 0.00230\n",
+      "       57/1    1.21039    1.22512 +/- 0.00228\n",
+      "       58/1    1.23929    1.22542 +/- 0.00225\n",
+      "       59/1    1.21357    1.22518 +/- 0.00221\n",
+      "       60/1    1.23456    1.22537 +/- 0.00218\n",
+      "       61/1    1.23963    1.22565 +/- 0.00215\n",
+      "       62/1    1.24020    1.22593 +/- 0.00213\n",
+      "       63/1    1.22325    1.22587 +/- 0.00209\n",
+      "       64/1    1.22070    1.22578 +/- 0.00205\n",
+      "       65/1    1.22423    1.22575 +/- 0.00201\n",
+      "       66/1    1.22973    1.22582 +/- 0.00198\n",
+      "       67/1    1.21842    1.22569 +/- 0.00195\n",
+      "       68/1    1.19552    1.22517 +/- 0.00198\n",
+      "       69/1    1.21475    1.22500 +/- 0.00196\n",
+      "       70/1    1.21888    1.22489 +/- 0.00193\n",
+      "       71/1    1.19720    1.22444 +/- 0.00195\n",
+      "       72/1    1.23770    1.22465 +/- 0.00193\n",
+      "       73/1    1.23894    1.22488 +/- 0.00191\n",
+      " Triggers unsatisfied, max unc./thresh. is 1.00243 for flux in tally 10051\n",
+      " The estimated number of batches is 74\n",
+      "       74/1    1.22437    1.22487 +/- 0.00188\n",
+      " Triggers satisfied for batch 74\n",
+      " Creating state point statepoint.074.h5...\n",
       "\n",
       " ===========================================================================\n",
       " ======================>     SIMULATION FINISHED     <======================\n",
@@ -568,27 +561,27 @@
       "\n",
       " =======================>     TIMING STATISTICS     <=======================\n",
       "\n",
-      " Total time for initialization     =  7.5700E-01 seconds\n",
-      "   Reading cross sections          =  1.5800E-01 seconds\n",
-      " Total time in simulation          =  1.4921E+02 seconds\n",
-      "   Time in transport only          =  1.4336E+02 seconds\n",
-      "   Time in inactive batches        =  8.6210E+00 seconds\n",
-      "   Time in active batches          =  1.4059E+02 seconds\n",
-      "   Time synchronizing fission bank =  5.6060E+00 seconds\n",
-      "     Sampling source sites         =  1.4000E-02 seconds\n",
-      "     SEND/RECV source sites        =  4.0000E-03 seconds\n",
-      "   Time accumulating tallies       =  6.0000E-03 seconds\n",
+      " Total time for initialization     =  5.7400E-01 seconds\n",
+      "   Reading cross sections          =  1.2600E-01 seconds\n",
+      " Total time in simulation          =  2.6256E+02 seconds\n",
+      "   Time in transport only          =  2.6250E+02 seconds\n",
+      "   Time in inactive batches        =  2.2890E+01 seconds\n",
+      "   Time in active batches          =  2.3967E+02 seconds\n",
+      "   Time synchronizing fission bank =  3.4000E-02 seconds\n",
+      "     Sampling source sites         =  2.1000E-02 seconds\n",
+      "     SEND/RECV source sites        =  1.3000E-02 seconds\n",
+      "   Time accumulating tallies       =  0.0000E+00 seconds\n",
       " Total time for finalization       =  1.3000E-02 seconds\n",
-      " Total time elapsed                =  1.5002E+02 seconds\n",
-      " Calculation Rate (inactive)       =  11599.6 neutrons/second\n",
-      " Calculation Rate (active)         =  2845.11 neutrons/second\n",
+      " Total time elapsed                =  2.6320E+02 seconds\n",
+      " Calculation Rate (inactive)       =  4368.72 neutrons/second\n",
+      " Calculation Rate (active)         =  1668.93 neutrons/second\n",
       "\n",
       " ============================>     RESULTS     <============================\n",
       "\n",
-      " k-effective (Collision)     =  1.22327 +/-  0.00148\n",
-      " k-effective (Track-length)  =  1.22304 +/-  0.00173\n",
-      " k-effective (Absorption)    =  1.22407 +/-  0.00129\n",
-      " Combined k-effective        =  1.22373 +/-  0.00113\n",
+      " k-effective (Collision)     =  1.22358 +/-  0.00179\n",
+      " k-effective (Track-length)  =  1.22487 +/-  0.00188\n",
+      " k-effective (Absorption)    =  1.22300 +/-  0.00114\n",
+      " Combined k-effective        =  1.22347 +/-  0.00106\n",
       " Leakage Fraction            =  0.00000 +/-  0.00000\n",
       "\n"
      ]
@@ -606,8 +599,7 @@
    ],
    "source": [
     "# Run OpenMC\n",
-    "executor = openmc.Executor()\n",
-    "executor.run_simulation(output=True, mpi_procs=3)"
+    "openmc.run(output=True)"
    ]
   },
   {
@@ -633,27 +625,7 @@
    "outputs": [],
    "source": [
     "# Load the last statepoint file\n",
-    "sp = openmc.StatePoint('statepoint.080.h5')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "In addition to the statepoint file, our simulation also created a summary file which encapsulates information about the materials and geometry. This is necessary for the `openmc.mgxs` module to properly process the tally data. We first create a `Summary` object and link it with the statepoint."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# Load the summary file and link it with the statepoint\n",
-    "su = openmc.Summary('summary.h5')\n",
-    "sp.link_with_summary(su)"
+    "sp = openmc.StatePoint('statepoint.074.h5')"
    ]
   },
   {
@@ -665,7 +637,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "metadata": {
     "collapsed": false
    },
@@ -700,7 +672,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 17,
    "metadata": {
     "collapsed": false
    },
@@ -715,25 +687,25 @@
       "\tDomain ID      =\t10000\n",
       "\tNuclide        =\tU-235\n",
       "\tCross Sections [barns]:\n",
-      "            Group 1 [0.821      - 20.0      MeV]:\t3.31e+00 +/- 1.88e-01%\n",
-      "            Group 2 [0.00553    - 0.821     MeV]:\t3.97e+00 +/- 1.24e-01%\n",
-      "            Group 3 [4e-06      - 0.00553   MeV]:\t5.50e+01 +/- 2.02e-01%\n",
-      "            Group 4 [6.25e-07   - 4e-06     MeV]:\t8.83e+01 +/- 3.56e-01%\n",
-      "            Group 5 [2.8e-07    - 6.25e-07  MeV]:\t2.90e+02 +/- 4.54e-01%\n",
-      "            Group 6 [1.4e-07    - 2.8e-07   MeV]:\t4.49e+02 +/- 4.10e-01%\n",
-      "            Group 7 [5.8e-08    - 1.4e-07   MeV]:\t6.87e+02 +/- 2.56e-01%\n",
-      "            Group 8 [0.0        - 5.8e-08   MeV]:\t1.44e+03 +/- 2.82e-01%\n",
+      "            Group 1 [0.821      - 20.0      MeV]:\t3.30e+00 +/- 2.19e-01%\n",
+      "            Group 2 [0.00553    - 0.821     MeV]:\t3.96e+00 +/- 1.32e-01%\n",
+      "            Group 3 [4e-06      - 0.00553   MeV]:\t5.52e+01 +/- 2.31e-01%\n",
+      "            Group 4 [6.25e-07   - 4e-06     MeV]:\t8.83e+01 +/- 2.96e-01%\n",
+      "            Group 5 [2.8e-07    - 6.25e-07  MeV]:\t2.90e+02 +/- 4.64e-01%\n",
+      "            Group 6 [1.4e-07    - 2.8e-07   MeV]:\t4.49e+02 +/- 4.22e-01%\n",
+      "            Group 7 [5.8e-08    - 1.4e-07   MeV]:\t6.87e+02 +/- 2.97e-01%\n",
+      "            Group 8 [0.0        - 5.8e-08   MeV]:\t1.44e+03 +/- 2.91e-01%\n",
       "\n",
       "\tNuclide        =\tU-238\n",
       "\tCross Sections [barns]:\n",
-      "            Group 1 [0.821      - 20.0      MeV]:\t1.06e+00 +/- 2.30e-01%\n",
-      "            Group 2 [0.00553    - 0.821     MeV]:\t1.21e-03 +/- 2.25e-01%\n",
-      "            Group 3 [4e-06      - 0.00553   MeV]:\t5.82e-04 +/- 3.09e+00%\n",
-      "            Group 4 [6.25e-07   - 4e-06     MeV]:\t6.54e-06 +/- 3.27e-01%\n",
-      "            Group 5 [2.8e-07    - 6.25e-07  MeV]:\t1.07e-05 +/- 4.39e-01%\n",
-      "            Group 6 [1.4e-07    - 2.8e-07   MeV]:\t1.55e-05 +/- 4.12e-01%\n",
-      "            Group 7 [5.8e-08    - 1.4e-07   MeV]:\t2.30e-05 +/- 2.57e-01%\n",
-      "            Group 8 [0.0        - 5.8e-08   MeV]:\t4.24e-05 +/- 2.81e-01%\n",
+      "            Group 1 [0.821      - 20.0      MeV]:\t1.06e+00 +/- 2.56e-01%\n",
+      "            Group 2 [0.00553    - 0.821     MeV]:\t1.21e-03 +/- 2.55e-01%\n",
+      "            Group 3 [4e-06      - 0.00553   MeV]:\t5.77e-04 +/- 3.67e+00%\n",
+      "            Group 4 [6.25e-07   - 4e-06     MeV]:\t6.54e-06 +/- 2.74e-01%\n",
+      "            Group 5 [2.8e-07    - 6.25e-07  MeV]:\t1.07e-05 +/- 4.55e-01%\n",
+      "            Group 6 [1.4e-07    - 2.8e-07   MeV]:\t1.55e-05 +/- 4.25e-01%\n",
+      "            Group 7 [5.8e-08    - 1.4e-07   MeV]:\t2.30e-05 +/- 2.97e-01%\n",
+      "            Group 8 [0.0        - 5.8e-08   MeV]:\t4.24e-05 +/- 2.90e-01%\n",
       "\n",
       "\n",
       "\n"
@@ -754,7 +726,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 18,
    "metadata": {
     "collapsed": false
    },
@@ -768,14 +740,14 @@
       "\tDomain Type    =\tcell\n",
       "\tDomain ID      =\t10000\n",
       "\tCross Sections [cm^-1]:\n",
-      "            Group 1 [0.821      - 20.0      MeV]:\t2.52e-02 +/- 2.19e-01%\n",
-      "            Group 2 [0.00553    - 0.821     MeV]:\t1.51e-03 +/- 1.22e-01%\n",
-      "            Group 3 [4e-06      - 0.00553   MeV]:\t2.06e-02 +/- 2.02e-01%\n",
-      "            Group 4 [6.25e-07   - 4e-06     MeV]:\t3.31e-02 +/- 3.56e-01%\n",
-      "            Group 5 [2.8e-07    - 6.25e-07  MeV]:\t1.09e-01 +/- 4.54e-01%\n",
-      "            Group 6 [1.4e-07    - 2.8e-07   MeV]:\t1.69e-01 +/- 4.10e-01%\n",
-      "            Group 7 [5.8e-08    - 1.4e-07   MeV]:\t2.58e-01 +/- 2.56e-01%\n",
-      "            Group 8 [0.0        - 5.8e-08   MeV]:\t5.40e-01 +/- 2.82e-01%\n",
+      "            Group 1 [0.821      - 20.0      MeV]:\t2.52e-02 +/- 2.44e-01%\n",
+      "            Group 2 [0.00553    - 0.821     MeV]:\t1.51e-03 +/- 1.30e-01%\n",
+      "            Group 3 [4e-06      - 0.00553   MeV]:\t2.07e-02 +/- 2.31e-01%\n",
+      "            Group 4 [6.25e-07   - 4e-06     MeV]:\t3.31e-02 +/- 2.96e-01%\n",
+      "            Group 5 [2.8e-07    - 6.25e-07  MeV]:\t1.09e-01 +/- 4.64e-01%\n",
+      "            Group 6 [1.4e-07    - 2.8e-07   MeV]:\t1.69e-01 +/- 4.22e-01%\n",
+      "            Group 7 [5.8e-08    - 1.4e-07   MeV]:\t2.58e-01 +/- 2.97e-01%\n",
+      "            Group 8 [0.0        - 5.8e-08   MeV]:\t5.40e-01 +/- 2.91e-01%\n",
       "\n",
       "\n",
       "\n"
@@ -796,7 +768,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 19,
    "metadata": {
     "collapsed": false
    },
@@ -824,8 +796,8 @@
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>H-1</td>\n",
-       "      <td>0.234022</td>\n",
-       "      <td>0.003645</td>\n",
+       "      <td>0.234115</td>\n",
+       "      <td>0.003568</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>127</th>\n",
@@ -833,8 +805,8 @@
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>O-16</td>\n",
-       "      <td>1.560305</td>\n",
-       "      <td>0.006280</td>\n",
+       "      <td>1.563707</td>\n",
+       "      <td>0.005953</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>124</th>\n",
@@ -842,8 +814,8 @@
        "      <td>1</td>\n",
        "      <td>2</td>\n",
        "      <td>H-1</td>\n",
-       "      <td>1.588025</td>\n",
-       "      <td>0.002815</td>\n",
+       "      <td>1.594129</td>\n",
+       "      <td>0.002369</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>125</th>\n",
@@ -851,8 +823,8 @@
        "      <td>1</td>\n",
        "      <td>2</td>\n",
        "      <td>O-16</td>\n",
-       "      <td>0.285147</td>\n",
-       "      <td>0.001392</td>\n",
+       "      <td>0.285761</td>\n",
+       "      <td>0.001676</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>122</th>\n",
@@ -860,8 +832,8 @@
        "      <td>1</td>\n",
        "      <td>3</td>\n",
        "      <td>H-1</td>\n",
-       "      <td>0.010776</td>\n",
-       "      <td>0.000186</td>\n",
+       "      <td>0.011089</td>\n",
+       "      <td>0.000248</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>123</th>\n",
@@ -878,8 +850,8 @@
        "      <td>1</td>\n",
        "      <td>4</td>\n",
        "      <td>H-1</td>\n",
-       "      <td>0.000023</td>\n",
-       "      <td>0.000010</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>121</th>\n",
@@ -914,19 +886,19 @@
       ],
       "text/plain": [
        "      cell  group in  group out nuclide      mean  std. dev.\n",
-       "126  10002         1          1     H-1  0.234022   0.003645\n",
-       "127  10002         1          1    O-16  1.560305   0.006280\n",
-       "124  10002         1          2     H-1  1.588025   0.002815\n",
-       "125  10002         1          2    O-16  0.285147   0.001392\n",
-       "122  10002         1          3     H-1  0.010776   0.000186\n",
+       "126  10002         1          1     H-1  0.234115   0.003568\n",
+       "127  10002         1          1    O-16  1.563707   0.005953\n",
+       "124  10002         1          2     H-1  1.594129   0.002369\n",
+       "125  10002         1          2    O-16  0.285761   0.001676\n",
+       "122  10002         1          3     H-1  0.011089   0.000248\n",
        "123  10002         1          3    O-16  0.000000   0.000000\n",
-       "120  10002         1          4     H-1  0.000023   0.000010\n",
+       "120  10002         1          4     H-1  0.000000   0.000000\n",
        "121  10002         1          4    O-16  0.000000   0.000000\n",
        "118  10002         1          5     H-1  0.000000   0.000000\n",
        "119  10002         1          5    O-16  0.000000   0.000000"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -946,7 +918,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 20,
    "metadata": {
     "collapsed": true
    },
@@ -968,7 +940,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 21,
    "metadata": {
     "collapsed": false
    },
@@ -983,18 +955,18 @@
       "\tDomain ID      =\t10000\n",
       "\tNuclide        =\tU-235\n",
       "\tCross Sections [cm^-1]:\n",
-      "            Group 1 [6.25e-07   - 20.0      MeV]:\t7.81e-03 +/- 4.75e-01%\n",
-      "            Group 2 [0.0        - 6.25e-07  MeV]:\t1.82e-01 +/- 1.89e-01%\n",
+      "            Group 1 [6.25e-07   - 20.0      MeV]:\t7.73e-03 +/- 5.06e-01%\n",
+      "            Group 2 [0.0        - 6.25e-07  MeV]:\t1.82e-01 +/- 2.05e-01%\n",
       "\n",
       "\tNuclide        =\tU-238\n",
       "\tCross Sections [cm^-1]:\n",
-      "            Group 1 [6.25e-07   - 20.0      MeV]:\t2.17e-01 +/- 1.31e-01%\n",
-      "            Group 2 [0.0        - 6.25e-07  MeV]:\t2.53e-01 +/- 2.08e-01%\n",
+      "            Group 1 [6.25e-07   - 20.0      MeV]:\t2.17e-01 +/- 1.44e-01%\n",
+      "            Group 2 [0.0        - 6.25e-07  MeV]:\t2.53e-01 +/- 2.57e-01%\n",
       "\n",
       "\tNuclide        =\tO-16\n",
       "\tCross Sections [cm^-1]:\n",
-      "            Group 1 [6.25e-07   - 20.0      MeV]:\t1.45e-01 +/- 1.50e-01%\n",
-      "            Group 2 [0.0        - 6.25e-07  MeV]:\t1.74e-01 +/- 2.66e-01%\n",
+      "            Group 1 [6.25e-07   - 20.0      MeV]:\t1.46e-01 +/- 1.60e-01%\n",
+      "            Group 2 [0.0        - 6.25e-07  MeV]:\t1.75e-01 +/- 2.94e-01%\n",
       "\n",
       "\n",
       "\n"
@@ -1007,7 +979,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 22,
    "metadata": {
     "collapsed": false
    },
@@ -1033,48 +1005,48 @@
        "      <td>10000</td>\n",
        "      <td>1</td>\n",
        "      <td>U-235</td>\n",
-       "      <td>20.828127</td>\n",
-       "      <td>0.098842</td>\n",
+       "      <td>20.611692</td>\n",
+       "      <td>0.104237</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>10000</td>\n",
        "      <td>1</td>\n",
        "      <td>U-238</td>\n",
-       "      <td>9.582295</td>\n",
-       "      <td>0.012550</td>\n",
+       "      <td>9.585358</td>\n",
+       "      <td>0.013808</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>10000</td>\n",
        "      <td>1</td>\n",
        "      <td>O-16</td>\n",
-       "      <td>3.157358</td>\n",
-       "      <td>0.004725</td>\n",
+       "      <td>3.164190</td>\n",
+       "      <td>0.005049</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>10000</td>\n",
        "      <td>2</td>\n",
        "      <td>U-235</td>\n",
-       "      <td>485.217649</td>\n",
-       "      <td>0.916465</td>\n",
+       "      <td>485.413426</td>\n",
+       "      <td>0.996410</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>10000</td>\n",
        "      <td>2</td>\n",
        "      <td>U-238</td>\n",
-       "      <td>11.176081</td>\n",
-       "      <td>0.023196</td>\n",
+       "      <td>11.190386</td>\n",
+       "      <td>0.028731</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>10000</td>\n",
        "      <td>2</td>\n",
        "      <td>O-16</td>\n",
-       "      <td>3.788167</td>\n",
-       "      <td>0.010090</td>\n",
+       "      <td>3.794859</td>\n",
+       "      <td>0.011139</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1082,15 +1054,15 @@
       ],
       "text/plain": [
        "    cell  group in nuclide        mean  std. dev.\n",
-       "3  10000         1   U-235   20.828127   0.098842\n",
-       "4  10000         1   U-238    9.582295   0.012550\n",
-       "5  10000         1    O-16    3.157358   0.004725\n",
-       "0  10000         2   U-235  485.217649   0.916465\n",
-       "1  10000         2   U-238   11.176081   0.023196\n",
-       "2  10000         2    O-16    3.788167   0.010090"
+       "3  10000         1   U-235   20.611692   0.104237\n",
+       "4  10000         1   U-238    9.585358   0.013808\n",
+       "5  10000         1    O-16    3.164190   0.005049\n",
+       "0  10000         2   U-235  485.413426   0.996410\n",
+       "1  10000         2   U-238   11.190386   0.028731\n",
+       "2  10000         2    O-16    3.794859   0.011139"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1116,14 +1088,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 23,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "# Create an OpenMOC Geometry from the OpenCG Geometry\n",
-    "openmoc_geometry = get_openmoc_geometry(su.opencg_geometry)"
+    "openmoc_geometry = get_openmoc_geometry(sp.summary.opencg_geometry)"
    ]
   },
   {
@@ -1135,7 +1107,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 24,
    "metadata": {
     "collapsed": false
    },
@@ -1180,7 +1152,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 25,
    "metadata": {
     "collapsed": false
    },
@@ -1191,175 +1163,175 @@
      "text": [
       "[  NORMAL ]  Importing ray tracing data from file...\n",
       "[  NORMAL ]  Computing the eigenvalue...\n",
-      "[  NORMAL ]  Iteration 0:\tk_eff = 0.574633\tres = 1.959E-316\n",
-      "[  NORMAL ]  Iteration 1:\tk_eff = 0.679931\tres = 4.254E-01\n",
-      "[  NORMAL ]  Iteration 2:\tk_eff = 0.660910\tres = 1.832E-01\n",
-      "[  NORMAL ]  Iteration 3:\tk_eff = 0.658975\tres = 2.797E-02\n",
-      "[  NORMAL ]  Iteration 4:\tk_eff = 0.642976\tres = 2.928E-03\n",
-      "[  NORMAL ]  Iteration 5:\tk_eff = 0.625710\tres = 2.428E-02\n",
-      "[  NORMAL ]  Iteration 6:\tk_eff = 0.606520\tres = 2.685E-02\n",
-      "[  NORMAL ]  Iteration 7:\tk_eff = 0.587277\tres = 3.067E-02\n",
-      "[  NORMAL ]  Iteration 8:\tk_eff = 0.568777\tres = 3.173E-02\n",
-      "[  NORMAL ]  Iteration 9:\tk_eff = 0.551415\tres = 3.150E-02\n",
-      "[  NORMAL ]  Iteration 10:\tk_eff = 0.535708\tres = 3.052E-02\n",
-      "[  NORMAL ]  Iteration 11:\tk_eff = 0.521916\tres = 2.849E-02\n",
-      "[  NORMAL ]  Iteration 12:\tk_eff = 0.510221\tres = 2.575E-02\n",
-      "[  NORMAL ]  Iteration 13:\tk_eff = 0.500691\tres = 2.241E-02\n",
-      "[  NORMAL ]  Iteration 14:\tk_eff = 0.493392\tres = 1.868E-02\n",
-      "[  NORMAL ]  Iteration 15:\tk_eff = 0.488317\tres = 1.458E-02\n",
-      "[  NORMAL ]  Iteration 16:\tk_eff = 0.485438\tres = 1.028E-02\n",
-      "[  NORMAL ]  Iteration 17:\tk_eff = 0.484705\tres = 5.896E-03\n",
-      "[  NORMAL ]  Iteration 18:\tk_eff = 0.486045\tres = 1.510E-03\n",
-      "[  NORMAL ]  Iteration 19:\tk_eff = 0.489362\tres = 2.766E-03\n",
-      "[  NORMAL ]  Iteration 20:\tk_eff = 0.494546\tres = 6.824E-03\n",
-      "[  NORMAL ]  Iteration 21:\tk_eff = 0.501481\tres = 1.059E-02\n",
-      "[  NORMAL ]  Iteration 22:\tk_eff = 0.510041\tres = 1.402E-02\n",
-      "[  NORMAL ]  Iteration 23:\tk_eff = 0.520094\tres = 1.707E-02\n",
-      "[  NORMAL ]  Iteration 24:\tk_eff = 0.531507\tres = 1.971E-02\n",
-      "[  NORMAL ]  Iteration 25:\tk_eff = 0.544144\tres = 2.194E-02\n",
-      "[  NORMAL ]  Iteration 26:\tk_eff = 0.557872\tres = 2.378E-02\n",
-      "[  NORMAL ]  Iteration 27:\tk_eff = 0.572557\tres = 2.523E-02\n",
-      "[  NORMAL ]  Iteration 28:\tk_eff = 0.588072\tres = 2.632E-02\n",
-      "[  NORMAL ]  Iteration 29:\tk_eff = 0.604293\tres = 2.710E-02\n",
-      "[  NORMAL ]  Iteration 30:\tk_eff = 0.621101\tres = 2.758E-02\n",
-      "[  NORMAL ]  Iteration 31:\tk_eff = 0.638382\tres = 2.781E-02\n",
-      "[  NORMAL ]  Iteration 32:\tk_eff = 0.656032\tres = 2.782E-02\n",
-      "[  NORMAL ]  Iteration 33:\tk_eff = 0.673950\tres = 2.765E-02\n",
-      "[  NORMAL ]  Iteration 34:\tk_eff = 0.692043\tres = 2.731E-02\n",
-      "[  NORMAL ]  Iteration 35:\tk_eff = 0.710227\tres = 2.685E-02\n",
-      "[  NORMAL ]  Iteration 36:\tk_eff = 0.728423\tres = 2.628E-02\n",
-      "[  NORMAL ]  Iteration 37:\tk_eff = 0.746558\tres = 2.562E-02\n",
-      "[  NORMAL ]  Iteration 38:\tk_eff = 0.764569\tres = 2.490E-02\n",
-      "[  NORMAL ]  Iteration 39:\tk_eff = 0.782396\tres = 2.412E-02\n",
-      "[  NORMAL ]  Iteration 40:\tk_eff = 0.799989\tres = 2.332E-02\n",
-      "[  NORMAL ]  Iteration 41:\tk_eff = 0.817301\tres = 2.249E-02\n",
-      "[  NORMAL ]  Iteration 42:\tk_eff = 0.834292\tres = 2.164E-02\n",
-      "[  NORMAL ]  Iteration 43:\tk_eff = 0.850927\tres = 2.079E-02\n",
-      "[  NORMAL ]  Iteration 44:\tk_eff = 0.867177\tres = 1.994E-02\n",
-      "[  NORMAL ]  Iteration 45:\tk_eff = 0.883017\tres = 1.910E-02\n",
-      "[  NORMAL ]  Iteration 46:\tk_eff = 0.898427\tres = 1.827E-02\n",
-      "[  NORMAL ]  Iteration 47:\tk_eff = 0.913389\tres = 1.745E-02\n",
-      "[  NORMAL ]  Iteration 48:\tk_eff = 0.927891\tres = 1.665E-02\n",
-      "[  NORMAL ]  Iteration 49:\tk_eff = 0.941925\tres = 1.588E-02\n",
-      "[  NORMAL ]  Iteration 50:\tk_eff = 0.955483\tres = 1.512E-02\n",
-      "[  NORMAL ]  Iteration 51:\tk_eff = 0.968562\tres = 1.439E-02\n",
-      "[  NORMAL ]  Iteration 52:\tk_eff = 0.981161\tres = 1.369E-02\n",
-      "[  NORMAL ]  Iteration 53:\tk_eff = 0.993282\tres = 1.301E-02\n",
-      "[  NORMAL ]  Iteration 54:\tk_eff = 1.004928\tres = 1.235E-02\n",
-      "[  NORMAL ]  Iteration 55:\tk_eff = 1.016104\tres = 1.172E-02\n",
-      "[  NORMAL ]  Iteration 56:\tk_eff = 1.026816\tres = 1.112E-02\n",
-      "[  NORMAL ]  Iteration 57:\tk_eff = 1.037073\tres = 1.054E-02\n",
-      "[  NORMAL ]  Iteration 58:\tk_eff = 1.046883\tres = 9.989E-03\n",
-      "[  NORMAL ]  Iteration 59:\tk_eff = 1.056257\tres = 9.460E-03\n",
-      "[  NORMAL ]  Iteration 60:\tk_eff = 1.065205\tres = 8.954E-03\n",
-      "[  NORMAL ]  Iteration 61:\tk_eff = 1.073739\tres = 8.472E-03\n",
-      "[  NORMAL ]  Iteration 62:\tk_eff = 1.081871\tres = 8.012E-03\n",
-      "[  NORMAL ]  Iteration 63:\tk_eff = 1.089613\tres = 7.573E-03\n",
-      "[  NORMAL ]  Iteration 64:\tk_eff = 1.096979\tres = 7.156E-03\n",
-      "[  NORMAL ]  Iteration 65:\tk_eff = 1.103980\tres = 6.760E-03\n",
-      "[  NORMAL ]  Iteration 66:\tk_eff = 1.110631\tres = 6.382E-03\n",
-      "[  NORMAL ]  Iteration 67:\tk_eff = 1.116943\tres = 6.024E-03\n",
-      "[  NORMAL ]  Iteration 68:\tk_eff = 1.122931\tres = 5.684E-03\n",
-      "[  NORMAL ]  Iteration 69:\tk_eff = 1.128607\tres = 5.361E-03\n",
-      "[  NORMAL ]  Iteration 70:\tk_eff = 1.133984\tres = 5.055E-03\n",
-      "[  NORMAL ]  Iteration 71:\tk_eff = 1.139075\tres = 4.764E-03\n",
-      "[  NORMAL ]  Iteration 72:\tk_eff = 1.143892\tres = 4.489E-03\n",
-      "[  NORMAL ]  Iteration 73:\tk_eff = 1.148447\tres = 4.229E-03\n",
-      "[  NORMAL ]  Iteration 74:\tk_eff = 1.152752\tres = 3.982E-03\n",
-      "[  NORMAL ]  Iteration 75:\tk_eff = 1.156819\tres = 3.749E-03\n",
-      "[  NORMAL ]  Iteration 76:\tk_eff = 1.160659\tres = 3.528E-03\n",
-      "[  NORMAL ]  Iteration 77:\tk_eff = 1.164282\tres = 3.319E-03\n",
-      "[  NORMAL ]  Iteration 78:\tk_eff = 1.167701\tres = 3.122E-03\n",
-      "[  NORMAL ]  Iteration 79:\tk_eff = 1.170923\tres = 2.936E-03\n",
-      "[  NORMAL ]  Iteration 80:\tk_eff = 1.173961\tres = 2.760E-03\n",
-      "[  NORMAL ]  Iteration 81:\tk_eff = 1.176822\tres = 2.594E-03\n",
-      "[  NORMAL ]  Iteration 82:\tk_eff = 1.179516\tres = 2.437E-03\n",
-      "[  NORMAL ]  Iteration 83:\tk_eff = 1.182052\tres = 2.289E-03\n",
-      "[  NORMAL ]  Iteration 84:\tk_eff = 1.184438\tres = 2.150E-03\n",
-      "[  NORMAL ]  Iteration 85:\tk_eff = 1.186682\tres = 2.019E-03\n",
-      "[  NORMAL ]  Iteration 86:\tk_eff = 1.188792\tres = 1.895E-03\n",
-      "[  NORMAL ]  Iteration 87:\tk_eff = 1.190775\tres = 1.778E-03\n",
-      "[  NORMAL ]  Iteration 88:\tk_eff = 1.192639\tres = 1.668E-03\n",
-      "[  NORMAL ]  Iteration 89:\tk_eff = 1.194389\tres = 1.565E-03\n",
-      "[  NORMAL ]  Iteration 90:\tk_eff = 1.196032\tres = 1.468E-03\n",
-      "[  NORMAL ]  Iteration 91:\tk_eff = 1.197575\tres = 1.376E-03\n",
-      "[  NORMAL ]  Iteration 92:\tk_eff = 1.199023\tres = 1.290E-03\n",
-      "[  NORMAL ]  Iteration 93:\tk_eff = 1.200381\tres = 1.209E-03\n",
-      "[  NORMAL ]  Iteration 94:\tk_eff = 1.201654\tres = 1.133E-03\n",
-      "[  NORMAL ]  Iteration 95:\tk_eff = 1.202849\tres = 1.061E-03\n",
-      "[  NORMAL ]  Iteration 96:\tk_eff = 1.203968\tres = 9.939E-04\n",
-      "[  NORMAL ]  Iteration 97:\tk_eff = 1.205017\tres = 9.307E-04\n",
-      "[  NORMAL ]  Iteration 98:\tk_eff = 1.206000\tres = 8.714E-04\n",
-      "[  NORMAL ]  Iteration 99:\tk_eff = 1.206921\tres = 8.157E-04\n",
-      "[  NORMAL ]  Iteration 100:\tk_eff = 1.207783\tres = 7.634E-04\n",
-      "[  NORMAL ]  Iteration 101:\tk_eff = 1.208590\tres = 7.144E-04\n",
-      "[  NORMAL ]  Iteration 102:\tk_eff = 1.209346\tres = 6.684E-04\n",
-      "[  NORMAL ]  Iteration 103:\tk_eff = 1.210053\tres = 6.252E-04\n",
-      "[  NORMAL ]  Iteration 104:\tk_eff = 1.210715\tres = 5.848E-04\n",
-      "[  NORMAL ]  Iteration 105:\tk_eff = 1.211334\tres = 5.468E-04\n",
-      "[  NORMAL ]  Iteration 106:\tk_eff = 1.211913\tres = 5.113E-04\n",
-      "[  NORMAL ]  Iteration 107:\tk_eff = 1.212454\tres = 4.779E-04\n",
-      "[  NORMAL ]  Iteration 108:\tk_eff = 1.212960\tres = 4.467E-04\n",
-      "[  NORMAL ]  Iteration 109:\tk_eff = 1.213434\tres = 4.175E-04\n",
-      "[  NORMAL ]  Iteration 110:\tk_eff = 1.213876\tres = 3.901E-04\n",
-      "[  NORMAL ]  Iteration 111:\tk_eff = 1.214289\tres = 3.644E-04\n",
-      "[  NORMAL ]  Iteration 112:\tk_eff = 1.214675\tres = 3.404E-04\n",
-      "[  NORMAL ]  Iteration 113:\tk_eff = 1.215036\tres = 3.180E-04\n",
-      "[  NORMAL ]  Iteration 114:\tk_eff = 1.215373\tres = 2.969E-04\n",
-      "[  NORMAL ]  Iteration 115:\tk_eff = 1.215687\tres = 2.773E-04\n",
-      "[  NORMAL ]  Iteration 116:\tk_eff = 1.215981\tres = 2.589E-04\n",
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-      "[  NORMAL ]  Iteration 118:\tk_eff = 1.216511\tres = 2.256E-04\n",
-      "[  NORMAL ]  Iteration 119:\tk_eff = 1.216750\tres = 2.105E-04\n",
-      "[  NORMAL ]  Iteration 120:\tk_eff = 1.216973\tres = 1.964E-04\n",
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-      "[  NORMAL ]  Iteration 122:\tk_eff = 1.217376\tres = 1.710E-04\n",
-      "[  NORMAL ]  Iteration 123:\tk_eff = 1.217557\tres = 1.595E-04\n",
-      "[  NORMAL ]  Iteration 124:\tk_eff = 1.217726\tres = 1.488E-04\n",
-      "[  NORMAL ]  Iteration 125:\tk_eff = 1.217883\tres = 1.388E-04\n",
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-      "[  NORMAL ]  Iteration 129:\tk_eff = 1.218414\tres = 1.049E-04\n",
-      "[  NORMAL ]  Iteration 130:\tk_eff = 1.218525\tres = 9.777E-05\n",
-      "[  NORMAL ]  Iteration 131:\tk_eff = 1.218629\tres = 9.113E-05\n",
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-      "[  NORMAL ]  Iteration 143:\tk_eff = 1.219437\tres = 3.894E-05\n",
-      "[  NORMAL ]  Iteration 144:\tk_eff = 1.219478\tres = 3.626E-05\n",
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-      "[  NORMAL ]  Iteration 146:\tk_eff = 1.219552\tres = 3.144E-05\n",
-      "[  NORMAL ]  Iteration 147:\tk_eff = 1.219585\tres = 2.927E-05\n",
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+      "[  NORMAL ]  Iteration 0:\tk_eff = 0.574672\tres = 0.000E+00\n",
+      "[  NORMAL ]  Iteration 1:\tk_eff = 0.679815\tres = 4.253E-01\n",
+      "[  NORMAL ]  Iteration 2:\tk_eff = 0.660826\tres = 1.830E-01\n",
+      "[  NORMAL ]  Iteration 3:\tk_eff = 0.658940\tres = 2.793E-02\n",
+      "[  NORMAL ]  Iteration 4:\tk_eff = 0.643012\tres = 2.853E-03\n",
+      "[  NORMAL ]  Iteration 5:\tk_eff = 0.625810\tres = 2.417E-02\n",
+      "[  NORMAL ]  Iteration 6:\tk_eff = 0.606678\tres = 2.675E-02\n",
+      "[  NORMAL ]  Iteration 7:\tk_eff = 0.587485\tres = 3.057E-02\n",
+      "[  NORMAL ]  Iteration 8:\tk_eff = 0.569028\tres = 3.164E-02\n",
+      "[  NORMAL ]  Iteration 9:\tk_eff = 0.551707\tres = 3.142E-02\n",
+      "[  NORMAL ]  Iteration 10:\tk_eff = 0.536034\tres = 3.044E-02\n",
+      "[  NORMAL ]  Iteration 11:\tk_eff = 0.522274\tres = 2.841E-02\n",
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+      "[  NORMAL ]  Iteration 13:\tk_eff = 0.501105\tres = 2.234E-02\n",
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+      "[  NORMAL ]  Iteration 61:\tk_eff = 1.074533\tres = 8.470E-03\n",
+      "[  NORMAL ]  Iteration 62:\tk_eff = 1.082670\tres = 8.011E-03\n",
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+      "[  NORMAL ]  Iteration 68:\tk_eff = 1.123764\tres = 5.685E-03\n",
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+      "[  NORMAL ]  Iteration 140:\tk_eff = 1.220303\tres = 4.848E-05\n",
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+      "[  NORMAL ]  Iteration 142:\tk_eff = 1.220402\tres = 4.206E-05\n",
+      "[  NORMAL ]  Iteration 143:\tk_eff = 1.220446\tres = 3.917E-05\n",
+      "[  NORMAL ]  Iteration 144:\tk_eff = 1.220488\tres = 3.648E-05\n",
+      "[  NORMAL ]  Iteration 145:\tk_eff = 1.220526\tres = 3.397E-05\n",
+      "[  NORMAL ]  Iteration 146:\tk_eff = 1.220562\tres = 3.163E-05\n",
+      "[  NORMAL ]  Iteration 147:\tk_eff = 1.220596\tres = 2.945E-05\n",
+      "[  NORMAL ]  Iteration 148:\tk_eff = 1.220627\tres = 2.742E-05\n",
+      "[  NORMAL ]  Iteration 149:\tk_eff = 1.220656\tres = 2.552E-05\n",
+      "[  NORMAL ]  Iteration 150:\tk_eff = 1.220683\tres = 2.376E-05\n",
+      "[  NORMAL ]  Iteration 151:\tk_eff = 1.220708\tres = 2.212E-05\n",
+      "[  NORMAL ]  Iteration 152:\tk_eff = 1.220732\tres = 2.059E-05\n",
+      "[  NORMAL ]  Iteration 153:\tk_eff = 1.220753\tres = 1.916E-05\n",
+      "[  NORMAL ]  Iteration 154:\tk_eff = 1.220774\tres = 1.783E-05\n",
+      "[  NORMAL ]  Iteration 155:\tk_eff = 1.220792\tres = 1.660E-05\n",
+      "[  NORMAL ]  Iteration 156:\tk_eff = 1.220810\tres = 1.545E-05\n",
+      "[  NORMAL ]  Iteration 157:\tk_eff = 1.220826\tres = 1.437E-05\n",
+      "[  NORMAL ]  Iteration 158:\tk_eff = 1.220841\tres = 1.337E-05\n",
+      "[  NORMAL ]  Iteration 159:\tk_eff = 1.220856\tres = 1.244E-05\n",
+      "[  NORMAL ]  Iteration 160:\tk_eff = 1.220869\tres = 1.158E-05\n",
+      "[  NORMAL ]  Iteration 161:\tk_eff = 1.220881\tres = 1.077E-05\n",
+      "[  NORMAL ]  Iteration 162:\tk_eff = 1.220892\tres = 1.002E-05\n"
      ]
     }
    ],
    "source": [
     "# Generate tracks for OpenMOC\n",
-    "openmoc_geometry.initializeFlatSourceRegions()\n",
-    "track_generator = openmoc.TrackGenerator(openmoc_geometry, num_azim=128, spacing=0.1)\n",
+    "track_generator = openmoc.TrackGenerator(openmoc_geometry, num_azim=128, azim_spacing=0.1)\n",
     "track_generator.generateTracks()\n",
     "\n",
     "# Run OpenMOC\n",
@@ -1376,7 +1348,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 26,
    "metadata": {
     "collapsed": false
    },
@@ -1385,9 +1357,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "openmc keff = 1.223729\n",
-      "openmoc keff = 1.219868\n",
-      "bias [pcm]: -386.1\n"
+      "openmc keff = 1.223474\n",
+      "openmoc keff = 1.220892\n",
+      "bias [pcm]: -258.1\n"
      ]
     }
    ],
@@ -1411,13 +1383,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 27,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
-    "openmoc_geometry = get_openmoc_geometry(su.opencg_geometry)\n",
+    "openmoc_geometry = get_openmoc_geometry(sp.summary.opencg_geometry)\n",
     "openmoc_cells = openmoc_geometry.getRootUniverse().getAllCells()\n",
     "\n",
     "# Inject multi-group cross sections into OpenMOC Materials\n",
@@ -1451,7 +1423,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 28,
    "metadata": {
     "collapsed": false
    },
@@ -1462,244 +1434,243 @@
      "text": [
       "[  NORMAL ]  Importing ray tracing data from file...\n",
       "[  NORMAL ]  Computing the eigenvalue...\n",
-      "[  NORMAL ]  Iteration 0:\tk_eff = 0.495594\tres = 1.959E-316\n",
-      "[  NORMAL ]  Iteration 1:\tk_eff = 0.557312\tres = 5.044E-01\n",
-      "[  NORMAL ]  Iteration 2:\tk_eff = 0.518115\tres = 1.245E-01\n",
-      "[  NORMAL ]  Iteration 3:\tk_eff = 0.509016\tres = 7.033E-02\n",
-      "[  NORMAL ]  Iteration 4:\tk_eff = 0.496279\tres = 1.756E-02\n",
-      "[  NORMAL ]  Iteration 5:\tk_eff = 0.488357\tres = 2.502E-02\n",
-      "[  NORMAL ]  Iteration 6:\tk_eff = 0.482659\tres = 1.596E-02\n",
-      "[  NORMAL ]  Iteration 7:\tk_eff = 0.479523\tres = 1.167E-02\n",
-      "[  NORMAL ]  Iteration 8:\tk_eff = 0.478568\tres = 6.497E-03\n",
-      "[  NORMAL ]  Iteration 9:\tk_eff = 0.479590\tres = 1.991E-03\n",
-      "[  NORMAL ]  Iteration 10:\tk_eff = 0.482388\tres = 2.136E-03\n",
-      "[  NORMAL ]  Iteration 11:\tk_eff = 0.486774\tres = 5.834E-03\n",
-      "[  NORMAL ]  Iteration 12:\tk_eff = 0.492575\tres = 9.091E-03\n",
-      "[  NORMAL ]  Iteration 13:\tk_eff = 0.499632\tres = 1.192E-02\n",
-      "[  NORMAL ]  Iteration 14:\tk_eff = 0.507799\tres = 1.433E-02\n",
-      "[  NORMAL ]  Iteration 15:\tk_eff = 0.516943\tres = 1.635E-02\n",
-      "[  NORMAL ]  Iteration 16:\tk_eff = 0.526942\tres = 1.801E-02\n",
-      "[  NORMAL ]  Iteration 17:\tk_eff = 0.537681\tres = 1.934E-02\n",
-      "[  NORMAL ]  Iteration 18:\tk_eff = 0.549060\tres = 2.038E-02\n",
-      "[  NORMAL ]  Iteration 19:\tk_eff = 0.560984\tres = 2.116E-02\n",
-      "[  NORMAL ]  Iteration 20:\tk_eff = 0.573368\tres = 2.172E-02\n",
-      "[  NORMAL ]  Iteration 21:\tk_eff = 0.586133\tres = 2.207E-02\n",
-      "[  NORMAL ]  Iteration 22:\tk_eff = 0.599207\tres = 2.226E-02\n",
-      "[  NORMAL ]  Iteration 23:\tk_eff = 0.612528\tres = 2.231E-02\n",
-      "[  NORMAL ]  Iteration 24:\tk_eff = 0.626035\tres = 2.223E-02\n",
-      "[  NORMAL ]  Iteration 25:\tk_eff = 0.639676\tres = 2.205E-02\n",
-      "[  NORMAL ]  Iteration 26:\tk_eff = 0.653402\tres = 2.179E-02\n",
-      "[  NORMAL ]  Iteration 27:\tk_eff = 0.667170\tres = 2.146E-02\n",
-      "[  NORMAL ]  Iteration 28:\tk_eff = 0.680942\tres = 2.107E-02\n",
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+      "[  NORMAL ]  Iteration 211:\tk_eff = 1.222898\tres = 2.122E-05\n",
+      "[  NORMAL ]  Iteration 212:\tk_eff = 1.222922\tres = 2.041E-05\n",
+      "[  NORMAL ]  Iteration 213:\tk_eff = 1.222945\tres = 1.963E-05\n",
+      "[  NORMAL ]  Iteration 214:\tk_eff = 1.222968\tres = 1.888E-05\n",
+      "[  NORMAL ]  Iteration 215:\tk_eff = 1.222989\tres = 1.816E-05\n",
+      "[  NORMAL ]  Iteration 216:\tk_eff = 1.223009\tres = 1.746E-05\n",
+      "[  NORMAL ]  Iteration 217:\tk_eff = 1.223029\tres = 1.680E-05\n",
+      "[  NORMAL ]  Iteration 218:\tk_eff = 1.223048\tres = 1.615E-05\n",
+      "[  NORMAL ]  Iteration 219:\tk_eff = 1.223067\tres = 1.554E-05\n",
+      "[  NORMAL ]  Iteration 220:\tk_eff = 1.223084\tres = 1.494E-05\n",
+      "[  NORMAL ]  Iteration 221:\tk_eff = 1.223101\tres = 1.437E-05\n",
+      "[  NORMAL ]  Iteration 222:\tk_eff = 1.223117\tres = 1.382E-05\n",
+      "[  NORMAL ]  Iteration 223:\tk_eff = 1.223133\tres = 1.329E-05\n",
+      "[  NORMAL ]  Iteration 224:\tk_eff = 1.223148\tres = 1.279E-05\n",
+      "[  NORMAL ]  Iteration 225:\tk_eff = 1.223162\tres = 1.230E-05\n",
+      "[  NORMAL ]  Iteration 226:\tk_eff = 1.223176\tres = 1.183E-05\n",
+      "[  NORMAL ]  Iteration 227:\tk_eff = 1.223190\tres = 1.137E-05\n",
+      "[  NORMAL ]  Iteration 228:\tk_eff = 1.223203\tres = 1.094E-05\n",
+      "[  NORMAL ]  Iteration 229:\tk_eff = 1.223215\tres = 1.052E-05\n",
+      "[  NORMAL ]  Iteration 230:\tk_eff = 1.223227\tres = 1.012E-05\n"
      ]
     }
    ],
    "source": [
     "# Generate tracks for OpenMOC\n",
-    "openmoc_geometry.initializeFlatSourceRegions()\n",
-    "track_generator = openmoc.TrackGenerator(openmoc_geometry, num_azim=128, spacing=0.1)\n",
+    "track_generator = openmoc.TrackGenerator(openmoc_geometry, num_azim=128, azim_spacing=0.1)\n",
     "track_generator.generateTracks()\n",
     "\n",
     "# Run OpenMOC\n",
@@ -1709,7 +1680,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 29,
    "metadata": {
     "collapsed": false
    },
@@ -1718,9 +1689,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "openmc keff = 1.223729\n",
-      "openmoc keff = 1.222447\n",
-      "bias [pcm]: -128.2\n"
+      "openmc keff = 1.223474\n",
+      "openmoc keff = 1.223227\n",
+      "bias [pcm]: -24.7\n"
      ]
     }
    ],
@@ -1766,7 +1737,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 30,
    "metadata": {
     "collapsed": false
    },
@@ -1792,7 +1763,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 31,
    "metadata": {
     "collapsed": false
    },
@@ -1803,15 +1774,15 @@
        "(9.9999999999999994e-12, 20.0)"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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NiQo+A2zbVhpS7/HHs7juuuDB588+s3PyyQURB6bT7T6mu1ai9ZoTfG5s5bMg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\nnYz04Ol8fel6baJlPT25tggrTElUAlN2J1IrGZq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N73Q6ue++BxgzZhyPPfZos+WNVcYlBxEpFZGPReSUVMdu397DrFm1dO7s5uSTS1izRjuq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\nCqHJQSmlVAhNDkoppUL8Pzlt5uQccjZkAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f7e2c03a610>"
+       "<matplotlib.figure.Figure at 0x7fd0d51202d0>"
       ]
      },
      "metadata": {},
@@ -1853,7 +1824,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 32,
    "metadata": {
     "collapsed": false
    },
@@ -1885,16 +1856,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 33,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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amjdrncLa6n3rcj3171uR2z09E6uf18B0ziisrVHcVVhbcHOBbXWu3t6JPY3TBr2KJiK+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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f7e2c0e0810>"
+       "<matplotlib.figure.Figure at 0x7fd0d4e1f950>"
       ]
      },
      "metadata": {},
@@ -1921,6 +1892,15 @@
     "# Show the plot on screen\n",
     "plt.show()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/docs/source/pythonapi/examples/mgxs-part-iii.ipynb b/docs/source/pythonapi/examples/mgxs-part-iii.ipynb
index 9302036600..5f0acde3f1 100644
--- a/docs/source/pythonapi/examples/mgxs-part-iii.ipynb
+++ b/docs/source/pythonapi/examples/mgxs-part-iii.ipynb
@@ -11,7 +11,7 @@
     "* **Validation** of multi-group cross sections with **[OpenMOC](https://mit-crpg.github.io/OpenMOC/)**\n",
     "* Steady-state pin-by-pin **fission rates comparison** between OpenMC and [OpenMOC](https://mit-crpg.github.io/OpenMOC/)\n",
     "\n",
-    "**Note:** This Notebook was created using [OpenMOC](https://mit-crpg.github.io/OpenMOC/) to verify the multi-group cross-sections generated by OpenMC. In order to run this Notebook in its entirety, you must have [OpenMOC](https://mit-crpg.github.io/OpenMOC/) installed on your system, along with OpenCG to convert the OpenMC geometries into OpenMOC geometries. In addition, this Notebook illustrates the use of [Pandas](http://pandas.pydata.org/) `DataFrames` to containerize multi-group cross section data. We recommend using [Pandas](http://pandas.pydata.org/) >v0.15.0 or later since OpenMC's Python API leverages the multi-indexing feature included in the most recent releases of [Pandas](http://pandas.pydata.org/)."
+    "**Note:** This Notebook was created using [OpenMOC](https://mit-crpg.github.io/OpenMOC/) to verify the multi-group cross-sections generated by OpenMC. In order to run this Notebook in its entirety, you must have [OpenMOC](https://mit-crpg.github.io/OpenMOC/) installed on your system, along with OpenCG to convert the OpenMC geometries into OpenMOC geometries. In addition, this Notebook illustrates the use of [Pandas](http://pandas.pydata.org/) `DataFrames` to containerize multi-group cross section data."
    ]
   },
   {
@@ -32,7 +32,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/usr/lib/pymodules/python2.7/matplotlib/__init__.py:1173: UserWarning:  This call to matplotlib.use() has no effect\n",
+      "/home/wboyd/anaconda2/lib/python2.7/site-packages/matplotlib/__init__.py:1350: UserWarning:  This call to matplotlib.use() has no effect\n",
       "because the backend has already been chosen;\n",
       "matplotlib.use() must be called *before* pylab, matplotlib.pyplot,\n",
       "or matplotlib.backends is imported for the first time.\n",
@@ -44,18 +44,16 @@
    "source": [
     "import math\n",
     "import pickle\n",
+    "\n",
     "from IPython.display import Image\n",
-    "import matplotlib.pylab as pylab\n",
+    "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "\n",
     "import openmc\n",
     "import openmc.mgxs\n",
-    "from openmc.statepoint import StatePoint\n",
-    "from openmc.summary import Summary\n",
-    "\n",
     "import openmoc\n",
     "import openmoc.process\n",
-    "from openmoc.compatible import get_openmoc_geometry\n",
+    "from openmoc.opencg_compatible import get_openmoc_geometry\n",
     "from openmoc.materialize import load_openmc_mgxs_lib\n",
     "\n",
     "%matplotlib inline"
@@ -124,7 +122,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "With our three materials, we can now create a `MaterialsFile` object that can be exported to an actual XML file."
+    "With our three materials, we can now create a `Materials` object that can be exported to an actual XML file."
    ]
   },
   {
@@ -135,11 +133,8 @@
    },
    "outputs": [],
    "source": [
-    "# Instantiate a MaterialsFile, add Materials\n",
-    "materials_file = openmc.MaterialsFile()\n",
-    "materials_file.add_material(fuel)\n",
-    "materials_file.add_material(water)\n",
-    "materials_file.add_material(zircaloy)\n",
+    "# Instantiate a Materials object\n",
+    "materials_file = openmc.Materials((fuel, water, zircaloy))\n",
     "materials_file.default_xs = '71c'\n",
     "\n",
     "# Export to \"materials.xml\"\n",
@@ -265,7 +260,6 @@
    "source": [
     "# Create fuel assembly Lattice\n",
     "assembly = openmc.RectLattice(name='1.6% Fuel Assembly')\n",
-    "assembly.dimension = (17, 17)\n",
     "assembly.pitch = (1.26, 1.26)\n",
     "assembly.lower_left = [-1.26 * 17. / 2.0] * 2"
    ]
@@ -333,7 +327,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We now must create a geometry that is assigned a root universe, put the geometry into a `GeometryFile` object, and export it to XML."
+    "We now must create a geometry that is assigned a root universe and export it to XML."
    ]
   },
   {
@@ -357,12 +351,8 @@
    },
    "outputs": [],
    "source": [
-    "# Instantiate a GeometryFile\n",
-    "geometry_file = openmc.GeometryFile()\n",
-    "geometry_file.geometry = geometry\n",
-    "\n",
     "# Export to \"geometry.xml\"\n",
-    "geometry_file.export_to_xml()"
+    "geometry.export_to_xml()"
    ]
   },
   {
@@ -385,14 +375,17 @@
     "inactive = 10\n",
     "particles = 2500\n",
     "\n",
-    "# Instantiate a SettingsFile\n",
-    "settings_file = openmc.SettingsFile()\n",
+    "# Instantiate a Settings object\n",
+    "settings_file = openmc.Settings()\n",
     "settings_file.batches = batches\n",
     "settings_file.inactive = inactive\n",
     "settings_file.particles = particles\n",
-    "settings_file.output = {'tallies': False, 'summary': True}\n",
-    "source_bounds = [-10.71, -10.71, -10, 10.71, 10.71, 10.]\n",
-    "settings_file.set_source_space('fission', source_bounds)\n",
+    "settings_file.output = {'tallies': False}\n",
+    "\n",
+    "# Create an initial uniform spatial source distribution over fissionable zones\n",
+    "bounds = [-10.71, -10.71, -10, 10.71, 10.71, 10.]\n",
+    "uniform_dist = openmc.stats.Box(bounds[:3], bounds[3:], only_fissionable=True)\n",
+    "settings_file.source = openmc.source.Source(space=uniform_dist)\n",
     "\n",
     "# Export to \"settings.xml\"\n",
     "settings_file.export_to_xml()"
@@ -402,7 +395,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let us also create a `PlotsFile` that we can use to verify that our fuel assembly geometry was created successfully."
+    "Let us also create a `Plots` file that we can use to verify that our fuel assembly geometry was created successfully."
    ]
   },
   {
@@ -417,13 +410,12 @@
     "plot = openmc.Plot(plot_id=1)\n",
     "plot.filename = 'materials-xy'\n",
     "plot.origin = [0, 0, 0]\n",
-    "plot.width = [21.5, 21.5]\n",
     "plot.pixels = [250, 250]\n",
+    "plot.width = [-10.71*2, -10.71*2]\n",
     "plot.color = 'mat'\n",
     "\n",
-    "# Instantiate a PlotsFile, add Plot, and export to \"plots.xml\"\n",
-    "plot_file = openmc.PlotsFile()\n",
-    "plot_file.add_plot(plot)\n",
+    "# Instantiate a Plots object, add Plot, and export to \"plots.xml\"\n",
+    "plot_file = openmc.Plots([plot])\n",
     "plot_file.export_to_xml()"
    ]
   },
@@ -454,8 +446,7 @@
    ],
    "source": [
     "# Run openmc in plotting mode\n",
-    "executor = openmc.Executor()\n",
-    "executor.plot_geometry(output=False)"
+    "openmc.plot_geometry(output=False)"
    ]
   },
   {
@@ -467,7 +458,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPoAAAD6AgMAAAD1grKuAAAABGdBTUEAALGPC/xhBQAAAAFzUkdC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\nMS0zMFQyMToyMDowNy0wNTowMOEGeWEAAAAASUVORK5CYII=\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPoAAAD6AgMAAAD1grKuAAAABGdBTUEAALGPC/xhBQAAACBjSFJN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\nVDEyOjI5OjA2LTA0OjAwdwkwywAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -547,17 +538,19 @@
     "\n",
     "* `TotalXS` (`\"total\"`)\n",
     "* `TransportXS` (`\"transport\"`)\n",
+    "* `NuTransportXS` (`\"nu-transport\"`)\n",
     "* `AbsorptionXS` (`\"absorption\"`)\n",
     "* `CaptureXS` (`\"capture\"`)\n",
     "* `FissionXS` (`\"fission\"`)\n",
     "* `NuFissionXS` (`\"nu-fission\"`)\n",
+    "* `KappaFissionXS` (`\"kappa-fission\"`)\n",
     "* `ScatterXS` (`\"scatter\"`)\n",
     "* `NuScatterXS` (`\"nu-scatter\"`)\n",
     "* `ScatterMatrixXS` (`\"scatter matrix\"`)\n",
     "* `NuScatterMatrixXS` (`\"nu-scatter matrix\"`)\n",
     "* `Chi` (`\"chi\"`)\n",
     "\n",
-    "In this case, let's create the multi-group cross sections needed to run an OpenMOC simulation to verify the accuracy of our cross sections. In particular, we will define `\"transport\"`, `\"nu-fission\"`, `\"nu-scatter matrix\"` and `\"chi\"` cross sections for our `Library`.\n",
+    "In this case, let's create the multi-group cross sections needed to run an OpenMOC simulation to verify the accuracy of our cross sections. In particular, we will define `\"transport\"`, `\"nu-fission\"`, `'\"fission\"`, `\"nu-scatter matrix\"` and `\"chi\"` cross sections for our `Library`.\n",
     "\n",
     "**Note**: A variety of different approximate transport-corrected total multi-group cross sections (and corresponding scattering matrices) can be found in the literature. At the present time, the `openmc.mgxs` module only supports the `\"P0\"` transport correction. This correction can be turned on and off through the boolean `Library.correction` property which may take values of `\"P0\"` (default) or `None`."
    ]
@@ -566,12 +559,12 @@
    "cell_type": "code",
    "execution_count": 19,
    "metadata": {
-    "collapsed": true
+    "collapsed": false
    },
    "outputs": [],
    "source": [
     "# Specify multi-group cross section types to compute\n",
-    "mgxs_lib.mgxs_types = ['transport', 'nu-fission', 'nu-scatter matrix', 'chi']"
+    "mgxs_lib.mgxs_types = ['transport', 'nu-fission', 'fission', 'nu-scatter matrix', 'chi']"
    ]
   },
   {
@@ -592,7 +585,7 @@
    "outputs": [],
    "source": [
     "# Specify a \"cell\" domain type for the cross section tally filters\n",
-    "mgxs_lib.domain_type = \"cell\"\n",
+    "mgxs_lib.domain_type = 'cell'\n",
     "\n",
     "# Specify the cell domains over which to compute multi-group cross sections\n",
     "mgxs_lib.domains = geometry.get_all_material_cells()"
@@ -642,7 +635,7 @@
    "source": [
     "The tallies can now be export to a \"tallies.xml\" input file for OpenMC. \n",
     "\n",
-    "**NOTE**: At this point the `Library` has constructed nearly 100 distinct `Tally` objects. The overhead to tally in OpenMC scales as $O(N)$ for $N$ tallies, which can become a bottleneck for large tally datasets. To compensate for this, the Python API's `Tally`, `Filter` and `TalliesFile` classes allow for the smart *merging* of tallies when possible. The `Library` class supports this runtime optimization with the use of the optional `merge` paramter (`False` by default) for the `Library.add_to_tallies_file(...)` method, as shown below."
+    "**NOTE**: At this point the `Library` has constructed nearly 100 distinct `Tally` objects. The overhead to tally in OpenMC scales as $O(N)$ for $N$ tallies, which can become a bottleneck for large tally datasets. To compensate for this, the Python API's `Tally`, `Filter` and `Tallies` classes allow for the smart *merging* of tallies when possible. The `Library` class supports this runtime optimization with the use of the optional `merge` paramter (`False` by default) for the `Library.add_to_tallies_file(...)` method, as shown below."
    ]
   },
   {
@@ -654,7 +647,7 @@
    "outputs": [],
    "source": [
     "# Create a \"tallies.xml\" file for the MGXS Library\n",
-    "tallies_file = openmc.TalliesFile()\n",
+    "tallies_file = openmc.Tallies()\n",
     "mgxs_lib.add_to_tallies_file(tallies_file, merge=True)"
    ]
   },
@@ -678,7 +671,7 @@
     "mesh.type = 'regular'\n",
     "mesh.dimension = [17, 17]\n",
     "mesh.lower_left = [-10.71, -10.71]\n",
-    "mesh.width = [1.26, 1.26]\n",
+    "mesh.upper_right = [+10.71, +10.71]\n",
     "\n",
     "# Instantiate tally Filter\n",
     "mesh_filter = openmc.Filter()\n",
@@ -686,13 +679,11 @@
     "\n",
     "# Instantiate the Tally\n",
     "tally = openmc.Tally(name='mesh tally')\n",
-    "tally.add_filter(mesh_filter)\n",
-    "tally.add_score('fission')\n",
-    "tally.add_score('nu-fission')\n",
+    "tally.filters = [mesh_filter]\n",
+    "tally.scores = ['fission', 'nu-fission']\n",
     "\n",
-    "# Add mesh and Tally to TalliesFile\n",
-    "tallies_file.add_mesh(mesh)\n",
-    "tallies_file.add_tally(tally)"
+    "# Add tally to collection\n",
+    "tallies_file.append(tally)"
    ]
   },
   {
@@ -731,11 +722,11 @@
       "                  888\n",
       "                  888\n",
       "\n",
-      "      Copyright:      2011-2015 Massachusetts Institute of Technology\n",
-      "      License:        http://mit-crpg.github.io/openmc/license.html\n",
-      "      Version:        0.7.0\n",
-      "      Git SHA1:       c4b14a5ef87f004528d35cbf33fef3ed15a386ca\n",
-      "      Date/Time:      2015-11-30 21:20:07\n",
+      "      Copyright:      2011-2016 Massachusetts Institute of Technology\n",
+      "      License:        http://openmc.readthedocs.io/en/latest/license.html\n",
+      "      Version:        0.7.1\n",
+      "      Git SHA1:       47ef320ad517612376e181ec6a6bc42ca0db98ce\n",
+      "      Date/Time:      2016-05-14 12:29:07\n",
       "      MPI Processes:  1\n",
       "\n",
       " ===========================================================================\n",
@@ -763,56 +754,56 @@
       "\n",
       "  Bat./Gen.      k            Average k         \n",
       "  =========   ========   ====================   \n",
-      "        1/1    1.02650                       \n",
-      "        2/1    1.01386                       \n",
-      "        3/1    1.01045                       \n",
-      "        4/1    1.05511                       \n",
-      "        5/1    1.04873                       \n",
-      "        6/1    1.04558                       \n",
-      "        7/1    1.03840                       \n",
-      "        8/1    1.02086                       \n",
-      "        9/1    1.08845                       \n",
-      "       10/1    1.03932                       \n",
-      "       11/1    1.01271                       \n",
-      "       12/1    1.03448    1.02360 +/- 0.01088\n",
-      "       13/1    1.04395    1.03038 +/- 0.00925\n",
-      "       14/1    1.05477    1.03648 +/- 0.00894\n",
-      "       15/1    1.00485    1.03015 +/- 0.00938\n",
-      "       16/1    1.04523    1.03267 +/- 0.00806\n",
-      "       17/1    1.01328    1.02990 +/- 0.00735\n",
-      "       18/1    1.01476    1.02800 +/- 0.00664\n",
-      "       19/1    1.01490    1.02655 +/- 0.00604\n",
-      "       20/1    1.00926    1.02482 +/- 0.00567\n",
-      "       21/1    0.98504    1.02120 +/- 0.00627\n",
-      "       22/1    1.00397    1.01977 +/- 0.00591\n",
-      "       23/1    1.02556    1.02021 +/- 0.00545\n",
-      "       24/1    0.99808    1.01863 +/- 0.00529\n",
-      "       25/1    0.99638    1.01715 +/- 0.00514\n",
-      "       26/1    0.99615    1.01584 +/- 0.00499\n",
-      "       27/1    1.01843    1.01599 +/- 0.00469\n",
-      "       28/1    1.00315    1.01528 +/- 0.00447\n",
-      "       29/1    1.00633    1.01480 +/- 0.00426\n",
-      "       30/1    1.02159    1.01514 +/- 0.00405\n",
-      "       31/1    1.03395    1.01604 +/- 0.00396\n",
-      "       32/1    1.02672    1.01652 +/- 0.00381\n",
-      "       33/1    1.03778    1.01745 +/- 0.00375\n",
-      "       34/1    1.03807    1.01831 +/- 0.00369\n",
-      "       35/1    1.07854    1.02072 +/- 0.00428\n",
-      "       36/1    1.03524    1.02128 +/- 0.00415\n",
-      "       37/1    1.03100    1.02164 +/- 0.00401\n",
-      "       38/1    1.03853    1.02224 +/- 0.00391\n",
-      "       39/1    1.04089    1.02288 +/- 0.00383\n",
-      "       40/1    1.02150    1.02284 +/- 0.00370\n",
-      "       41/1    0.98470    1.02161 +/- 0.00379\n",
-      "       42/1    1.00658    1.02114 +/- 0.00370\n",
-      "       43/1    0.98652    1.02009 +/- 0.00373\n",
-      "       44/1    1.02787    1.02032 +/- 0.00363\n",
-      "       45/1    0.98800    1.01939 +/- 0.00364\n",
-      "       46/1    1.00286    1.01893 +/- 0.00357\n",
-      "       47/1    1.02559    1.01911 +/- 0.00348\n",
-      "       48/1    1.03729    1.01959 +/- 0.00342\n",
-      "       49/1    1.02538    1.01974 +/- 0.00333\n",
-      "       50/1    1.01478    1.01962 +/- 0.00325\n",
+      "        1/1    1.03852                       \n",
+      "        2/1    0.99743                       \n",
+      "        3/1    1.02987                       \n",
+      "        4/1    1.04472                       \n",
+      "        5/1    1.02183                       \n",
+      "        6/1    1.05263                       \n",
+      "        7/1    0.99048                       \n",
+      "        8/1    1.02753                       \n",
+      "        9/1    1.03159                       \n",
+      "       10/1    1.04005                       \n",
+      "       11/1    1.05278                       \n",
+      "       12/1    1.02555    1.03917 +/- 0.01362\n",
+      "       13/1    0.99400    1.02411 +/- 0.01699\n",
+      "       14/1    1.03508    1.02685 +/- 0.01232\n",
+      "       15/1    1.00055    1.02159 +/- 0.01090\n",
+      "       16/1    1.01334    1.02022 +/- 0.00900\n",
+      "       17/1    0.99822    1.01707 +/- 0.00823\n",
+      "       18/1    1.01767    1.01715 +/- 0.00713\n",
+      "       19/1    1.05052    1.02086 +/- 0.00730\n",
+      "       20/1    1.03133    1.02190 +/- 0.00661\n",
+      "       21/1    1.04112    1.02365 +/- 0.00623\n",
+      "       22/1    1.04175    1.02516 +/- 0.00588\n",
+      "       23/1    1.01909    1.02469 +/- 0.00543\n",
+      "       24/1    1.07119    1.02801 +/- 0.00603\n",
+      "       25/1    0.97445    1.02444 +/- 0.00665\n",
+      "       26/1    1.04737    1.02588 +/- 0.00638\n",
+      "       27/1    1.04656    1.02709 +/- 0.00612\n",
+      "       28/1    1.03464    1.02751 +/- 0.00578\n",
+      "       29/1    1.02528    1.02739 +/- 0.00547\n",
+      "       30/1    1.02799    1.02742 +/- 0.00519\n",
+      "       31/1    1.05846    1.02890 +/- 0.00516\n",
+      "       32/1    1.03811    1.02932 +/- 0.00493\n",
+      "       33/1    1.00894    1.02843 +/- 0.00480\n",
+      "       34/1    1.02049    1.02810 +/- 0.00460\n",
+      "       35/1    1.00690    1.02726 +/- 0.00450\n",
+      "       36/1    1.03129    1.02741 +/- 0.00432\n",
+      "       37/1    0.98864    1.02597 +/- 0.00440\n",
+      "       38/1    1.00017    1.02505 +/- 0.00434\n",
+      "       39/1    1.03635    1.02544 +/- 0.00421\n",
+      "       40/1    1.07090    1.02696 +/- 0.00434\n",
+      "       41/1    1.03141    1.02710 +/- 0.00420\n",
+      "       42/1    1.02624    1.02707 +/- 0.00406\n",
+      "       43/1    1.02668    1.02706 +/- 0.00394\n",
+      "       44/1    1.05940    1.02801 +/- 0.00394\n",
+      "       45/1    1.01149    1.02754 +/- 0.00385\n",
+      "       46/1    1.06958    1.02871 +/- 0.00392\n",
+      "       47/1    1.02674    1.02866 +/- 0.00381\n",
+      "       48/1    1.02542    1.02857 +/- 0.00371\n",
+      "       49/1    1.03516    1.02874 +/- 0.00362\n",
+      "       50/1    1.06818    1.02973 +/- 0.00366\n",
       " Creating state point statepoint.50.h5...\n",
       "\n",
       " ===========================================================================\n",
@@ -822,27 +813,27 @@
       "\n",
       " =======================>     TIMING STATISTICS     <=======================\n",
       "\n",
-      " Total time for initialization     =  4.2800E-01 seconds\n",
-      "   Reading cross sections          =  9.1000E-02 seconds\n",
-      " Total time in simulation          =  4.1240E+01 seconds\n",
-      "   Time in transport only          =  4.1215E+01 seconds\n",
-      "   Time in inactive batches        =  4.0230E+00 seconds\n",
-      "   Time in active batches          =  3.7217E+01 seconds\n",
-      "   Time synchronizing fission bank =  8.0000E-03 seconds\n",
-      "     Sampling source sites         =  6.0000E-03 seconds\n",
-      "     SEND/RECV source sites        =  2.0000E-03 seconds\n",
-      "   Time accumulating tallies       =  2.0000E-03 seconds\n",
+      " Total time for initialization     =  5.7700E-01 seconds\n",
+      "   Reading cross sections          =  1.3400E-01 seconds\n",
+      " Total time in simulation          =  8.0461E+01 seconds\n",
+      "   Time in transport only          =  8.0422E+01 seconds\n",
+      "   Time in inactive batches        =  6.4060E+00 seconds\n",
+      "   Time in active batches          =  7.4055E+01 seconds\n",
+      "   Time synchronizing fission bank =  6.0000E-03 seconds\n",
+      "     Sampling source sites         =  2.0000E-03 seconds\n",
+      "     SEND/RECV source sites        =  3.0000E-03 seconds\n",
+      "   Time accumulating tallies       =  0.0000E+00 seconds\n",
       " Total time for finalization       =  0.0000E+00 seconds\n",
-      " Total time elapsed                =  4.1683E+01 seconds\n",
-      " Calculation Rate (inactive)       =  6214.27 neutrons/second\n",
-      " Calculation Rate (active)         =  2686.94 neutrons/second\n",
+      " Total time elapsed                =  8.1067E+01 seconds\n",
+      " Calculation Rate (inactive)       =  3902.59 neutrons/second\n",
+      " Calculation Rate (active)         =  1350.35 neutrons/second\n",
       "\n",
       " ============================>     RESULTS     <============================\n",
       "\n",
-      " k-effective (Collision)     =  1.01805 +/-  0.00261\n",
-      " k-effective (Track-length)  =  1.01962 +/-  0.00325\n",
-      " k-effective (Absorption)    =  1.01554 +/-  0.00339\n",
-      " Combined k-effective        =  1.01711 +/-  0.00235\n",
+      " k-effective (Collision)     =  1.02763 +/-  0.00343\n",
+      " k-effective (Track-length)  =  1.02973 +/-  0.00366\n",
+      " k-effective (Absorption)    =  1.02732 +/-  0.00319\n",
+      " Combined k-effective        =  1.02826 +/-  0.00259\n",
       " Leakage Fraction            =  0.00000 +/-  0.00000\n",
       "\n"
      ]
@@ -860,7 +851,7 @@
    ],
    "source": [
     "# Run OpenMC\n",
-    "executor.run_simulation()"
+    "openmc.run()"
    ]
   },
   {
@@ -893,7 +884,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In addition to the statepoint file, our simulation also created a summary file which encapsulates information about the materials and geometry. This is necessary for the `openmc.mgxs` module to properly process the tally data. We first create a `Summary` object and link it with the statepoint."
+    "The statepoint is now ready to be analyzed by the `Library`. We simply have to load the tallies from the statepoint into the `Library` and our `MGXS` objects will compute the cross sections for us under-the-hood."
    ]
   },
   {
@@ -903,35 +894,6 @@
     "collapsed": false
    },
    "outputs": [],
-   "source": [
-    "su = openmc.Summary('summary.h5')\n",
-    "sp.link_with_summary(su)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The statepoint is now ready to be analyzed by the `Library`. We simply have to load the tallies from the statepoint into the `Library` and our `MGXS` objects will compute the cross sections for us under-the-hood."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/usr/local/lib/python2.7/dist-packages/openmc-0.7.0-py2.7.egg/openmc/tallies.py:1514: RuntimeWarning: invalid value encountered in true_divide\n",
-      "/usr/local/lib/python2.7/dist-packages/openmc-0.7.0-py2.7.egg/openmc/tallies.py:1515: RuntimeWarning: invalid value encountered in true_divide\n",
-      "/usr/local/lib/python2.7/dist-packages/openmc-0.7.0-py2.7.egg/openmc/tallies.py:1516: RuntimeWarning: invalid value encountered in true_divide\n"
-     ]
-    }
-   ],
    "source": [
     "# Initialize MGXS Library with OpenMC statepoint data\n",
     "mgxs_lib.load_from_statepoint(sp)"
@@ -962,7 +924,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 29,
    "metadata": {
     "collapsed": false
    },
@@ -976,12 +938,13 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The `NuFissionXS` object supports all of the methods described previously the `openmc.mgxs` tutorials, such as [Pandas](http://pandas.pydata.org/) `DataFrames`:"
+    "The `NuFissionXS` object supports all of the methods described previously in the `openmc.mgxs` tutorials, such as [Pandas](http://pandas.pydata.org/) `DataFrames`:\n",
+    "Note that since so few histories were simulated, we should expect a few division-by-error errors as some tallies have not yet scored any results."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 30,
    "metadata": {
     "collapsed": false
    },
@@ -990,7 +953,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/usr/local/lib/python2.7/dist-packages/openmc-0.7.0-py2.7.egg/openmc/mgxs/mgxs.py:1254: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n"
+      "/home/wboyd/Documents/NSE-CRPG-Codes/openmc/openmc/tallies.py:1988: RuntimeWarning: invalid value encountered in true_divide\n",
+      "  self_rel_err = data['self']['std. dev.'] / data['self']['mean']\n"
      ]
     },
     {
@@ -1014,16 +978,16 @@
        "      <td>10000</td>\n",
        "      <td>1</td>\n",
        "      <td>U-235</td>\n",
-       "      <td>8.063513e-03</td>\n",
-       "      <td>4.062984e-05</td>\n",
+       "      <td>8.055246e-03</td>\n",
+       "      <td>2.857567e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>10000</td>\n",
        "      <td>1</td>\n",
        "      <td>U-238</td>\n",
-       "      <td>7.335515e-03</td>\n",
-       "      <td>4.459335e-05</td>\n",
+       "      <td>7.339215e-03</td>\n",
+       "      <td>4.349466e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
@@ -1038,16 +1002,16 @@
        "      <td>10000</td>\n",
        "      <td>2</td>\n",
        "      <td>U-235</td>\n",
-       "      <td>3.613274e-01</td>\n",
-       "      <td>1.902492e-03</td>\n",
+       "      <td>3.615565e-01</td>\n",
+       "      <td>2.050486e-03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>10000</td>\n",
        "      <td>2</td>\n",
        "      <td>U-238</td>\n",
-       "      <td>6.738424e-07</td>\n",
-       "      <td>3.536787e-09</td>\n",
+       "      <td>6.742638e-07</td>\n",
+       "      <td>3.795256e-09</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
@@ -1063,15 +1027,15 @@
       ],
       "text/plain": [
        "    cell  group in nuclide          mean     std. dev.\n",
-       "3  10000         1   U-235  8.063513e-03  4.062984e-05\n",
-       "4  10000         1   U-238  7.335515e-03  4.459335e-05\n",
+       "3  10000         1   U-235  8.055246e-03  2.857567e-05\n",
+       "4  10000         1   U-238  7.339215e-03  4.349466e-05\n",
        "5  10000         1    O-16  0.000000e+00  0.000000e+00\n",
-       "0  10000         2   U-235  3.613274e-01  1.902492e-03\n",
-       "1  10000         2   U-238  6.738424e-07  3.536787e-09\n",
+       "0  10000         2   U-235  3.615565e-01  2.050486e-03\n",
+       "1  10000         2   U-238  6.742638e-07  3.795256e-09\n",
        "2  10000         2    O-16  0.000000e+00  0.000000e+00"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1090,7 +1054,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 31,
    "metadata": {
     "collapsed": false
    },
@@ -1105,13 +1069,13 @@
       "\tDomain ID      =\t10000\n",
       "\tNuclide        =\tU-235\n",
       "\tCross Sections [cm^-1]:\n",
-      "            Group 1 [6.25e-07   - 20.0      MeV]:\t8.06e-03 +/- 5.04e-01%\n",
-      "            Group 2 [0.0        - 6.25e-07  MeV]:\t3.61e-01 +/- 5.27e-01%\n",
+      "            Group 1 [6.25e-07   - 20.0      MeV]:\t8.06e-03 +/- 3.55e-01%\n",
+      "            Group 2 [0.0        - 6.25e-07  MeV]:\t3.62e-01 +/- 5.67e-01%\n",
       "\n",
       "\tNuclide        =\tU-238\n",
       "\tCross Sections [cm^-1]:\n",
-      "            Group 1 [6.25e-07   - 20.0      MeV]:\t7.34e-03 +/- 6.08e-01%\n",
-      "            Group 2 [0.0        - 6.25e-07  MeV]:\t6.74e-07 +/- 5.25e-01%\n",
+      "            Group 1 [6.25e-07   - 20.0      MeV]:\t7.34e-03 +/- 5.93e-01%\n",
+      "            Group 2 [0.0        - 6.25e-07  MeV]:\t6.74e-07 +/- 5.63e-01%\n",
       "\n",
       "\tNuclide        =\tO-16\n",
       "\tCross Sections [cm^-1]:\n",
@@ -1136,9 +1100,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 32,
    "metadata": {
-    "collapsed": true
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -1155,7 +1119,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 33,
    "metadata": {
     "collapsed": true
    },
@@ -1167,7 +1131,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 34,
    "metadata": {
     "collapsed": true
    },
@@ -1186,7 +1150,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 35,
    "metadata": {
     "collapsed": true
    },
@@ -1201,7 +1165,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 36,
    "metadata": {
     "collapsed": false
    },
@@ -1227,16 +1191,16 @@
        "      <td>10000</td>\n",
        "      <td>1</td>\n",
        "      <td>U-235</td>\n",
-       "      <td>0.074383</td>\n",
-       "      <td>0.000280</td>\n",
+       "      <td>0.074860</td>\n",
+       "      <td>0.000303</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>10000</td>\n",
        "      <td>1</td>\n",
        "      <td>U-238</td>\n",
-       "      <td>0.005959</td>\n",
-       "      <td>0.000036</td>\n",
+       "      <td>0.005952</td>\n",
+       "      <td>0.000035</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
@@ -1252,12 +1216,12 @@
       ],
       "text/plain": [
        "    cell  group in nuclide      mean  std. dev.\n",
-       "0  10000         1   U-235  0.074383   0.000280\n",
-       "1  10000         1   U-238  0.005959   0.000036\n",
+       "0  10000         1   U-235  0.074860   0.000303\n",
+       "1  10000         1   U-238  0.005952   0.000035\n",
        "2  10000         1    O-16  0.000000   0.000000"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1286,7 +1250,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 37,
    "metadata": {
     "collapsed": false
    },
@@ -1305,7 +1269,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 38,
    "metadata": {
     "collapsed": false
    },
@@ -1324,7 +1288,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 39,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -1334,133 +1298,132 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[  NORMAL ]  Ray tracing for track segmentation...\n",
-      "[  NORMAL ]  Dumping tracks to file...\n",
+      "[  NORMAL ]  Importing ray tracing data from file...\n",
       "[  NORMAL ]  Computing the eigenvalue...\n",
-      "[  NORMAL ]  Iteration 0:\tk_eff = 0.854316\tres = 0.000E+00\n",
-      "[  NORMAL ]  Iteration 1:\tk_eff = 0.801593\tres = 1.522E-01\n",
-      "[  NORMAL ]  Iteration 2:\tk_eff = 0.761131\tres = 6.380E-02\n",
-      "[  NORMAL ]  Iteration 3:\tk_eff = 0.731467\tres = 5.066E-02\n",
-      "[  NORMAL ]  Iteration 4:\tk_eff = 0.709897\tres = 3.910E-02\n",
-      "[  NORMAL ]  Iteration 5:\tk_eff = 0.695110\tres = 2.954E-02\n",
-      "[  NORMAL ]  Iteration 6:\tk_eff = 0.685966\tres = 2.085E-02\n",
-      "[  NORMAL ]  Iteration 7:\tk_eff = 0.681511\tres = 1.317E-02\n",
-      "[  NORMAL ]  Iteration 8:\tk_eff = 0.680926\tres = 6.520E-03\n",
-      "[  NORMAL ]  Iteration 9:\tk_eff = 0.683509\tres = 1.046E-03\n",
-      "[  NORMAL ]  Iteration 10:\tk_eff = 0.688659\tres = 3.848E-03\n",
-      "[  NORMAL ]  Iteration 11:\tk_eff = 0.695860\tres = 7.565E-03\n",
-      "[  NORMAL ]  Iteration 12:\tk_eff = 0.704674\tres = 1.048E-02\n",
-      "[  NORMAL ]  Iteration 13:\tk_eff = 0.714726\tres = 1.269E-02\n",
-      "[  NORMAL ]  Iteration 14:\tk_eff = 0.725700\tres = 1.428E-02\n",
-      "[  NORMAL ]  Iteration 15:\tk_eff = 0.737329\tres = 1.537E-02\n",
-      "[  NORMAL ]  Iteration 16:\tk_eff = 0.749388\tres = 1.604E-02\n",
-      "[  NORMAL ]  Iteration 17:\tk_eff = 0.761690\tres = 1.637E-02\n",
-      "[  NORMAL ]  Iteration 18:\tk_eff = 0.774081\tres = 1.643E-02\n",
-      "[  NORMAL ]  Iteration 19:\tk_eff = 0.786432\tres = 1.628E-02\n",
-      "[  NORMAL ]  Iteration 20:\tk_eff = 0.798638\tres = 1.597E-02\n",
-      "[  NORMAL ]  Iteration 21:\tk_eff = 0.810618\tres = 1.553E-02\n",
-      "[  NORMAL ]  Iteration 22:\tk_eff = 0.822303\tres = 1.501E-02\n",
-      "[  NORMAL ]  Iteration 23:\tk_eff = 0.833643\tres = 1.443E-02\n",
-      "[  NORMAL ]  Iteration 24:\tk_eff = 0.844598\tres = 1.380E-02\n",
-      "[  NORMAL ]  Iteration 25:\tk_eff = 0.855140\tres = 1.315E-02\n",
-      "[  NORMAL ]  Iteration 26:\tk_eff = 0.865249\tres = 1.249E-02\n",
-      "[  NORMAL ]  Iteration 27:\tk_eff = 0.874914\tres = 1.183E-02\n",
-      "[  NORMAL ]  Iteration 28:\tk_eff = 0.884128\tres = 1.118E-02\n",
-      "[  NORMAL ]  Iteration 29:\tk_eff = 0.892891\tres = 1.054E-02\n",
-      "[  NORMAL ]  Iteration 30:\tk_eff = 0.901206\tres = 9.920E-03\n",
-      "[  NORMAL ]  Iteration 31:\tk_eff = 0.909080\tres = 9.320E-03\n",
-      "[  NORMAL ]  Iteration 32:\tk_eff = 0.916523\tres = 8.745E-03\n",
-      "[  NORMAL ]  Iteration 33:\tk_eff = 0.923546\tres = 8.194E-03\n",
-      "[  NORMAL ]  Iteration 34:\tk_eff = 0.930162\tres = 7.669E-03\n",
-      "[  NORMAL ]  Iteration 35:\tk_eff = 0.936387\tres = 7.171E-03\n",
-      "[  NORMAL ]  Iteration 36:\tk_eff = 0.942236\tres = 6.698E-03\n",
-      "[  NORMAL ]  Iteration 37:\tk_eff = 0.947725\tres = 6.252E-03\n",
-      "[  NORMAL ]  Iteration 38:\tk_eff = 0.952869\tres = 5.830E-03\n",
-      "[  NORMAL ]  Iteration 39:\tk_eff = 0.957687\tres = 5.433E-03\n",
-      "[  NORMAL ]  Iteration 40:\tk_eff = 0.962193\tres = 5.060E-03\n",
-      "[  NORMAL ]  Iteration 41:\tk_eff = 0.966404\tres = 4.710E-03\n",
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+      "[  NORMAL ]  Iteration 0:\tk_eff = 0.854370\tres = 0.000E+00\n",
+      "[  NORMAL ]  Iteration 1:\tk_eff = 0.801922\tres = 1.521E-01\n",
+      "[  NORMAL ]  Iteration 2:\tk_eff = 0.761745\tres = 6.349E-02\n",
+      "[  NORMAL ]  Iteration 3:\tk_eff = 0.732366\tres = 5.029E-02\n",
+      "[  NORMAL ]  Iteration 4:\tk_eff = 0.711073\tres = 3.869E-02\n",
+      "[  NORMAL ]  Iteration 5:\tk_eff = 0.696554\tres = 2.912E-02\n",
+      "[  NORMAL ]  Iteration 6:\tk_eff = 0.687670\tres = 2.044E-02\n",
+      "[  NORMAL ]  Iteration 7:\tk_eff = 0.683465\tres = 1.277E-02\n",
+      "[  NORMAL ]  Iteration 8:\tk_eff = 0.683124\tres = 6.142E-03\n",
+      "[  NORMAL ]  Iteration 9:\tk_eff = 0.685943\tres = 7.897E-04\n",
+      "[  NORMAL ]  Iteration 10:\tk_eff = 0.691322\tres = 4.180E-03\n",
+      "[  NORMAL ]  Iteration 11:\tk_eff = 0.698747\tres = 7.873E-03\n",
+      "[  NORMAL ]  Iteration 12:\tk_eff = 0.707777\tres = 1.076E-02\n",
+      "[  NORMAL ]  Iteration 13:\tk_eff = 0.718040\tres = 1.295E-02\n",
+      "[  NORMAL ]  Iteration 14:\tk_eff = 0.729218\tres = 1.452E-02\n",
+      "[  NORMAL ]  Iteration 15:\tk_eff = 0.741045\tres = 1.559E-02\n",
+      "[  NORMAL ]  Iteration 16:\tk_eff = 0.753296\tres = 1.624E-02\n",
+      "[  NORMAL ]  Iteration 17:\tk_eff = 0.765785\tres = 1.655E-02\n",
+      "[  NORMAL ]  Iteration 18:\tk_eff = 0.778355\tres = 1.659E-02\n",
+      "[  NORMAL ]  Iteration 19:\tk_eff = 0.790879\tres = 1.643E-02\n",
+      "[  NORMAL ]  Iteration 20:\tk_eff = 0.803254\tres = 1.610E-02\n",
+      "[  NORMAL ]  Iteration 21:\tk_eff = 0.815394\tres = 1.566E-02\n",
+      "[  NORMAL ]  Iteration 22:\tk_eff = 0.827235\tres = 1.513E-02\n",
+      "[  NORMAL ]  Iteration 23:\tk_eff = 0.838724\tres = 1.453E-02\n",
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+      "[  NORMAL ]  Iteration 25:\tk_eff = 0.860503\tres = 1.324E-02\n",
+      "[  NORMAL ]  Iteration 26:\tk_eff = 0.870744\tres = 1.258E-02\n",
+      "[  NORMAL ]  Iteration 27:\tk_eff = 0.880535\tres = 1.191E-02\n",
+      "[  NORMAL ]  Iteration 28:\tk_eff = 0.889870\tres = 1.125E-02\n",
+      "[  NORMAL ]  Iteration 29:\tk_eff = 0.898748\tres = 1.061E-02\n",
+      "[  NORMAL ]  Iteration 30:\tk_eff = 0.907172\tres = 9.985E-03\n",
+      "[  NORMAL ]  Iteration 31:\tk_eff = 0.915151\tres = 9.382E-03\n",
+      "[  NORMAL ]  Iteration 32:\tk_eff = 0.922693\tres = 8.802E-03\n",
+      "[  NORMAL ]  Iteration 33:\tk_eff = 0.929811\tres = 8.248E-03\n",
+      "[  NORMAL ]  Iteration 34:\tk_eff = 0.936517\tres = 7.720E-03\n",
+      "[  NORMAL ]  Iteration 35:\tk_eff = 0.942827\tres = 7.219E-03\n",
+      "[  NORMAL ]  Iteration 36:\tk_eff = 0.948757\tres = 6.744E-03\n",
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+      "[  NORMAL ]  Iteration 38:\tk_eff = 0.959539\tres = 5.871E-03\n",
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+      "[  NORMAL ]  Iteration 40:\tk_eff = 0.968996\tres = 5.096E-03\n",
+      "[  NORMAL ]  Iteration 41:\tk_eff = 0.973268\tres = 4.744E-03\n",
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+      "[  NORMAL ]  Iteration 47:\tk_eff = 0.993505\tres = 3.053E-03\n",
+      "[  NORMAL ]  Iteration 48:\tk_eff = 0.996112\tres = 2.832E-03\n",
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+      "[  NORMAL ]  Iteration 50:\tk_eff = 1.000787\tres = 2.435E-03\n",
+      "[  NORMAL ]  Iteration 51:\tk_eff = 1.002878\tres = 2.257E-03\n",
+      "[  NORMAL ]  Iteration 52:\tk_eff = 1.004818\tres = 2.091E-03\n",
+      "[  NORMAL ]  Iteration 53:\tk_eff = 1.006618\tres = 1.937E-03\n",
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+      "[  NORMAL ]  Iteration 59:\tk_eff = 1.014962\tres = 1.215E-03\n",
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+      "[  NORMAL ]  Iteration 61:\tk_eff = 1.016988\tres = 1.038E-03\n",
+      "[  NORMAL ]  Iteration 62:\tk_eff = 1.017889\tres = 9.595E-04\n",
+      "[  NORMAL ]  Iteration 63:\tk_eff = 1.018721\tres = 8.864E-04\n",
+      "[  NORMAL ]  Iteration 64:\tk_eff = 1.019490\tres = 8.187E-04\n",
+      "[  NORMAL ]  Iteration 65:\tk_eff = 1.020201\tres = 7.560E-04\n",
+      "[  NORMAL ]  Iteration 66:\tk_eff = 1.020858\tres = 6.980E-04\n",
+      "[  NORMAL ]  Iteration 67:\tk_eff = 1.021464\tres = 6.444E-04\n",
+      "[  NORMAL ]  Iteration 68:\tk_eff = 1.022024\tres = 5.947E-04\n",
+      "[  NORMAL ]  Iteration 69:\tk_eff = 1.022541\tres = 5.488E-04\n",
+      "[  NORMAL ]  Iteration 70:\tk_eff = 1.023017\tres = 5.063E-04\n",
+      "[  NORMAL ]  Iteration 71:\tk_eff = 1.023458\tres = 4.670E-04\n",
+      "[  NORMAL ]  Iteration 72:\tk_eff = 1.023863\tres = 4.308E-04\n",
+      "[  NORMAL ]  Iteration 73:\tk_eff = 1.024238\tres = 3.972E-04\n",
+      "[  NORMAL ]  Iteration 74:\tk_eff = 1.024583\tres = 3.663E-04\n",
+      "[  NORMAL ]  Iteration 75:\tk_eff = 1.024902\tres = 3.376E-04\n",
+      "[  NORMAL ]  Iteration 76:\tk_eff = 1.025195\tres = 3.112E-04\n",
+      "[  NORMAL ]  Iteration 77:\tk_eff = 1.025466\tres = 2.868E-04\n",
+      "[  NORMAL ]  Iteration 78:\tk_eff = 1.025715\tres = 2.643E-04\n",
+      "[  NORMAL ]  Iteration 79:\tk_eff = 1.025945\tres = 2.435E-04\n",
+      "[  NORMAL ]  Iteration 80:\tk_eff = 1.026157\tres = 2.244E-04\n",
+      "[  NORMAL ]  Iteration 81:\tk_eff = 1.026352\tres = 2.067E-04\n",
+      "[  NORMAL ]  Iteration 82:\tk_eff = 1.026531\tres = 1.904E-04\n",
+      "[  NORMAL ]  Iteration 83:\tk_eff = 1.026697\tres = 1.753E-04\n",
+      "[  NORMAL ]  Iteration 84:\tk_eff = 1.026849\tres = 1.614E-04\n",
+      "[  NORMAL ]  Iteration 85:\tk_eff = 1.026989\tres = 1.487E-04\n",
+      "[  NORMAL ]  Iteration 86:\tk_eff = 1.027118\tres = 1.369E-04\n",
+      "[  NORMAL ]  Iteration 87:\tk_eff = 1.027237\tres = 1.260E-04\n",
+      "[  NORMAL ]  Iteration 88:\tk_eff = 1.027347\tres = 1.160E-04\n",
+      "[  NORMAL ]  Iteration 89:\tk_eff = 1.027447\tres = 1.067E-04\n",
+      "[  NORMAL ]  Iteration 90:\tk_eff = 1.027540\tres = 9.823E-05\n",
+      "[  NORMAL ]  Iteration 91:\tk_eff = 1.027625\tres = 9.039E-05\n",
+      "[  NORMAL ]  Iteration 92:\tk_eff = 1.027704\tres = 8.317E-05\n",
+      "[  NORMAL ]  Iteration 93:\tk_eff = 1.027776\tres = 7.652E-05\n",
+      "[  NORMAL ]  Iteration 94:\tk_eff = 1.027843\tres = 7.040E-05\n",
+      "[  NORMAL ]  Iteration 95:\tk_eff = 1.027904\tres = 6.476E-05\n",
+      "[  NORMAL ]  Iteration 96:\tk_eff = 1.027960\tres = 5.957E-05\n",
+      "[  NORMAL ]  Iteration 97:\tk_eff = 1.028012\tres = 5.479E-05\n",
+      "[  NORMAL ]  Iteration 98:\tk_eff = 1.028059\tres = 5.039E-05\n",
+      "[  NORMAL ]  Iteration 99:\tk_eff = 1.028103\tres = 4.635E-05\n",
+      "[  NORMAL ]  Iteration 100:\tk_eff = 1.028143\tres = 4.262E-05\n",
+      "[  NORMAL ]  Iteration 101:\tk_eff = 1.028180\tres = 3.919E-05\n",
+      "[  NORMAL ]  Iteration 102:\tk_eff = 1.028214\tres = 3.603E-05\n",
+      "[  NORMAL ]  Iteration 103:\tk_eff = 1.028245\tres = 3.313E-05\n",
+      "[  NORMAL ]  Iteration 104:\tk_eff = 1.028274\tres = 3.046E-05\n",
+      "[  NORMAL ]  Iteration 105:\tk_eff = 1.028300\tres = 2.800E-05\n",
+      "[  NORMAL ]  Iteration 106:\tk_eff = 1.028324\tres = 2.574E-05\n",
+      "[  NORMAL ]  Iteration 107:\tk_eff = 1.028347\tres = 2.366E-05\n",
+      "[  NORMAL ]  Iteration 108:\tk_eff = 1.028367\tres = 2.175E-05\n",
+      "[  NORMAL ]  Iteration 109:\tk_eff = 1.028386\tres = 1.999E-05\n",
+      "[  NORMAL ]  Iteration 110:\tk_eff = 1.028403\tres = 1.837E-05\n",
+      "[  NORMAL ]  Iteration 111:\tk_eff = 1.028419\tres = 1.688E-05\n",
+      "[  NORMAL ]  Iteration 112:\tk_eff = 1.028434\tres = 1.551E-05\n",
+      "[  NORMAL ]  Iteration 113:\tk_eff = 1.028447\tres = 1.426E-05\n",
+      "[  NORMAL ]  Iteration 114:\tk_eff = 1.028460\tres = 1.310E-05\n",
+      "[  NORMAL ]  Iteration 115:\tk_eff = 1.028471\tres = 1.204E-05\n",
+      "[  NORMAL ]  Iteration 116:\tk_eff = 1.028481\tres = 1.106E-05\n",
+      "[  NORMAL ]  Iteration 117:\tk_eff = 1.028491\tres = 1.016E-05\n"
      ]
     }
    ],
    "source": [
     "# Generate tracks for OpenMOC\n",
-    "openmoc_geometry.initializeFlatSourceRegions()\n",
-    "track_generator = openmoc.TrackGenerator(openmoc_geometry, num_azim=32, spacing=0.1)\n",
+    "track_generator = openmoc.TrackGenerator(openmoc_geometry, num_azim=32, azim_spacing=0.1)\n",
     "track_generator.generateTracks()\n",
     "\n",
     "# Run OpenMOC\n",
@@ -1477,7 +1440,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 40,
    "metadata": {
     "collapsed": false
    },
@@ -1486,9 +1449,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "openmc keff = 1.017105\n",
-      "openmoc keff = 1.020704\n",
-      "bias [pcm]: 359.8\n"
+      "openmc keff = 1.028263\n",
+      "openmoc keff = 1.028491\n",
+      "bias [pcm]: 22.8\n"
      ]
     }
    ],
@@ -1530,7 +1493,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 41,
    "metadata": {
     "collapsed": false
    },
@@ -1556,26 +1519,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 42,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
-    "# Export OpenMOC's fission rates for each pin cell instance in the fuel assembly\n",
-    "openmoc.process.compute_fission_rates(solver)\n",
+    "# Create OpenMOC Mesh on which to tally fission rates\n",
+    "openmoc_mesh = openmoc.process.Mesh()\n",
+    "openmoc_mesh.dimension = np.array(mesh.dimension)\n",
+    "openmoc_mesh.lower_left = np.array(mesh.lower_left)\n",
+    "openmoc_mesh.upper_right = np.array(mesh.upper_right)\n",
+    "openmoc_mesh.width = openmoc_mesh.upper_right - openmoc_mesh.lower_left\n",
+    "openmoc_mesh.width /= openmoc_mesh.dimension\n",
     "\n",
-    "# Open the pickle file with the fission rates\n",
-    "fission_rates = pickle.load(open('fission-rates/fission-rates.pkl', 'rb' ))\n",
-    "\n",
-    "# Allocate array for fission rates in each fuel pin\n",
-    "openmoc_fission_rates = np.zeros((17, 17))\n",
-    "\n",
-    "# Extract fission rates for each fuel pin\n",
-    "for key, value in fission_rates.items():\n",
-    "    lat_x = int(key.split(':')[1].split()[3][1:-1])\n",
-    "    lat_y = int(key.split(':')[1].split()[4][:-1])    \n",
-    "    openmoc_fission_rates[lat_x, lat_y] = value\n",
+    "# Tally OpenMOC fission rates on the Mesh\n",
+    "openmoc_fission_rates = openmoc_mesh.tally_fission_rates(solver)\n",
+    "openmoc_fission_rates = np.squeeze(openmoc_fission_rates)\n",
+    "openmoc_fission_rates = np.fliplr(openmoc_fission_rates)\n",
     "\n",
     "# Normalize to the average pin fission rate\n",
     "openmoc_fission_rates /= np.mean(openmoc_fission_rates)"
@@ -1590,7 +1551,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 43,
    "metadata": {
     "collapsed": false
    },
@@ -1598,18 +1559,18 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.text.Text at 0x7fb9acb6fc10>"
+       "<matplotlib.text.Text at 0x7f1d808d8b50>"
       ]
      },
-     "execution_count": 44,
+     "execution_count": 43,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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LwOXDO9vT701ffYEZcxn+ZcZs6GBPxNqmg32+8nV3hzgXM8Tk3IcHB7c162x7tuzzNs8x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\n2ajR7Q6wgAAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fb9acc75890>"
+       "<matplotlib.figure.Figure at 0x7f1d82ee2650>"
       ]
      },
      "metadata": {},
@@ -1617,35 +1578,39 @@
     }
    ],
    "source": [
+    "# Ignore zero fission rates in guide tubes with Matplotlib color scheme\n",
+    "openmc_fission_rates[openmc_fission_rates == 0] = np.nan\n",
+    "openmoc_fission_rates[openmoc_fission_rates == 0] = np.nan\n",
+    "\n",
     "# Plot OpenMC's fission rates in the left subplot\n",
-    "fig = pylab.subplot(121)\n",
-    "pylab.imshow(openmc_fission_rates, interpolation='none', cmap='jet')\n",
-    "pylab.title('OpenMC Fission Rates')\n",
+    "fig = plt.subplot(121)\n",
+    "plt.imshow(openmc_fission_rates, interpolation='none', cmap='jet')\n",
+    "plt.title('OpenMC Fission Rates')\n",
     "\n",
     "# Plot OpenMOC's fission rates in the right subplot\n",
-    "fig2 = pylab.subplot(122)\n",
-    "pylab.imshow(openmoc_fission_rates, interpolation='none', cmap='jet')\n",
-    "pylab.title('OpenMOC Fission Rates')"
+    "fig2 = plt.subplot(122)\n",
+    "plt.imshow(openmoc_fission_rates, interpolation='none', cmap='jet')\n",
+    "plt.title('OpenMOC Fission Rates')"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.6"
+   "pygments_lexer": "ipython3",
+   "version": "3.5.1"
   }
  },
  "nbformat": 4,
diff --git a/docs/source/pythonapi/examples/mgxs-part-iv.ipynb b/docs/source/pythonapi/examples/mgxs-part-iv.ipynb
new file mode 100644
index 0000000000..e5c80c1926
--- /dev/null
+++ b/docs/source/pythonapi/examples/mgxs-part-iv.ipynb
@@ -0,0 +1,1461 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This Notebook illustrates the use of the openmc.mgxs.Library class specifically for application in OpenMC's multi-group mode. This example notebook follows the same process as was done in MGXS Part III, but instead uses OpenMC as the multi-group solver. During this process, this notebook will illustrate the following features:\n",
+    "\n",
+    "   - Calculation of multi-group cross sections for a fuel assembly\n",
+    "   - Automated creation and storage of MGXS with openmc.mgxs.Library\n",
+    "   - Steady-state pin-by-pin fission rates comparison between continuous-energy and multi-group OpenMC.\n",
+    "\n",
+    "Note: This Notebook illustrates the use of Pandas DataFrames to containerize multi-group cross section data. We recommend using Pandas >v0.15.0 or later since OpenMC's Python API leverages the multi-indexing feature included in the most recent releases of Pandas.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Generate Input Files"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "import math\n",
+    "import pickle\n",
+    "\n",
+    "from IPython.display import Image\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import os\n",
+    "\n",
+    "import openmc\n",
+    "import openmc.mgxs\n",
+    "\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "First we need to define materials that will be used in the problem. Before defining a material, we must create nuclides that are used in the material."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Instantiate some Nuclides\n",
+    "h1 = openmc.Nuclide('H-1')\n",
+    "b10 = openmc.Nuclide('B-10')\n",
+    "o16 = openmc.Nuclide('O-16')\n",
+    "u235 = openmc.Nuclide('U-235')\n",
+    "u238 = openmc.Nuclide('U-238')\n",
+    "zr90 = openmc.Nuclide('Zr-90')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "With the nuclides we defined, we will now create three materials for the fuel, water, and cladding of the fuel pins."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# 1.6 enriched fuel\n",
+    "fuel = openmc.Material(name='1.6% Fuel')\n",
+    "fuel.set_density('g/cm3', 10.31341)\n",
+    "fuel.add_nuclide(u235, 3.7503e-4)\n",
+    "fuel.add_nuclide(u238, 2.2625e-2)\n",
+    "fuel.add_nuclide(o16, 4.6007e-2)\n",
+    "\n",
+    "# zircaloy\n",
+    "zircaloy = openmc.Material(name='Zircaloy')\n",
+    "zircaloy.set_density('g/cm3', 6.55)\n",
+    "zircaloy.add_nuclide(zr90, 7.2758e-3)\n",
+    "\n",
+    "# borated water\n",
+    "water = openmc.Material(name='Borated Water')\n",
+    "water.set_density('g/cm3', 0.740582)\n",
+    "water.add_nuclide(h1, 4.9457e-2)\n",
+    "water.add_nuclide(o16, 2.4732e-2)\n",
+    "water.add_nuclide(b10, 8.0042e-6)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "With our three materials, we can now create a Materials object that can be exported to an actual XML file."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Instantiate a Materials object\n",
+    "materials_file = openmc.Materials((fuel, zircaloy, water))\n",
+    "materials_file.default_xs = '71c'\n",
+    "\n",
+    "# Export to \"materials.xml\"\n",
+    "materials_file.export_to_xml()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now let's move on to the geometry. This problem will be a square array of fuel pins and control rod guide tubes for which we can use OpenMC's lattice/universe feature. The basic universe will have three regions for the fuel, the clad, and the surrounding coolant. The first step is to create the bounding surfaces for fuel and clad, as well as the outer bounding surfaces of the problem."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Create cylinders for the fuel and clad\n",
+    "fuel_outer_radius = openmc.ZCylinder(x0=0.0, y0=0.0, R=0.39218)\n",
+    "clad_outer_radius = openmc.ZCylinder(x0=0.0, y0=0.0, R=0.45720)\n",
+    "\n",
+    "# Create boundary planes to surround the geometry\n",
+    "min_x = openmc.XPlane(x0=-10.71, boundary_type='reflective')\n",
+    "max_x = openmc.XPlane(x0=+10.71, boundary_type='reflective')\n",
+    "min_y = openmc.YPlane(y0=-10.71, boundary_type='reflective')\n",
+    "max_y = openmc.YPlane(y0=+10.71, boundary_type='reflective')\n",
+    "min_z = openmc.ZPlane(z0=-10., boundary_type='reflective')\n",
+    "max_z = openmc.ZPlane(z0=+10., boundary_type='reflective')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "With the surfaces defined, we can now construct a fuel pin cell from cells that are defined by intersections of half-spaces created by the surfaces."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# Create a Universe to encapsulate a fuel pin\n",
+    "fuel_pin_universe = openmc.Universe(name='1.6% Fuel Pin')\n",
+    "\n",
+    "# Create fuel Cell\n",
+    "fuel_cell = openmc.Cell(name='1.6% Fuel')\n",
+    "fuel_cell.fill = fuel\n",
+    "fuel_cell.region = -fuel_outer_radius\n",
+    "fuel_pin_universe.add_cell(fuel_cell)\n",
+    "\n",
+    "# Create a clad Cell\n",
+    "clad_cell = openmc.Cell(name='1.6% Clad')\n",
+    "clad_cell.fill = zircaloy\n",
+    "clad_cell.region = +fuel_outer_radius & -clad_outer_radius\n",
+    "fuel_pin_universe.add_cell(clad_cell)\n",
+    "\n",
+    "# Create a moderator Cell\n",
+    "moderator_cell = openmc.Cell(name='1.6% Moderator')\n",
+    "moderator_cell.fill = water\n",
+    "moderator_cell.region = +clad_outer_radius\n",
+    "fuel_pin_universe.add_cell(moderator_cell)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Likewise, we can construct a control rod guide tube with the same surfaces."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# Create a Universe to encapsulate a control rod guide tube\n",
+    "guide_tube_universe = openmc.Universe(name='Guide Tube')\n",
+    "\n",
+    "# Create guide tube Cell\n",
+    "guide_tube_cell = openmc.Cell(name='Guide Tube Water')\n",
+    "guide_tube_cell.fill = water\n",
+    "guide_tube_cell.region = -fuel_outer_radius\n",
+    "guide_tube_universe.add_cell(guide_tube_cell)\n",
+    "\n",
+    "# Create a clad Cell\n",
+    "clad_cell = openmc.Cell(name='Guide Clad')\n",
+    "clad_cell.fill = zircaloy\n",
+    "clad_cell.region = +fuel_outer_radius & -clad_outer_radius\n",
+    "guide_tube_universe.add_cell(clad_cell)\n",
+    "\n",
+    "# Create a moderator Cell\n",
+    "moderator_cell = openmc.Cell(name='Guide Tube Moderator')\n",
+    "moderator_cell.fill = water\n",
+    "moderator_cell.region = +clad_outer_radius\n",
+    "guide_tube_universe.add_cell(moderator_cell)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Using the pin cell universe, we can construct a 17x17 rectangular lattice with a 1.26 cm pitch."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# Create fuel assembly Lattice\n",
+    "assembly = openmc.RectLattice(name='1.6% Fuel Assembly')\n",
+    "assembly.pitch = (1.26, 1.26)\n",
+    "assembly.lower_left = [-1.26 * 17. / 2.0] * 2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Next, we create a NumPy array of fuel pin and guide tube universes for the lattice."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Create array indices for guide tube locations in lattice\n",
+    "template_x = np.array([5, 8, 11, 3, 13, 2, 5, 8, 11, 14, 2, 5, 8,\n",
+    "                       11, 14, 2, 5, 8, 11, 14, 3, 13, 5, 8, 11])\n",
+    "template_y = np.array([2, 2, 2, 3, 3, 5, 5, 5, 5, 5, 8, 8, 8, 8,\n",
+    "                       8, 11, 11, 11, 11, 11, 13, 13, 14, 14, 14])\n",
+    "\n",
+    "# Initialize an empty 17x17 array of the lattice universes\n",
+    "universes = np.empty((17, 17), dtype=openmc.Universe)\n",
+    "\n",
+    "# Fill the array with the fuel pin and guide tube universes\n",
+    "universes[:,:] = fuel_pin_universe\n",
+    "universes[template_x, template_y] = guide_tube_universe\n",
+    "\n",
+    "# Store the array of universes in the lattice\n",
+    "assembly.universes = universes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "OpenMC requires that there is a \"root\" universe. Let us create a root cell that is filled by the pin cell universe and then assign it to the root universe."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# Create root Cell\n",
+    "root_cell = openmc.Cell(name='root cell')\n",
+    "root_cell.fill = assembly\n",
+    "\n",
+    "# Add boundary planes\n",
+    "root_cell.region = +min_x & -max_x & +min_y & -max_y & +min_z & -max_z\n",
+    "\n",
+    "# Create root Universe\n",
+    "root_universe = openmc.Universe(name='root universe', universe_id=0)\n",
+    "root_universe.add_cell(root_cell)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We now must create a geometry that is assigned a root universe and export it to XML."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# Create Geometry and set root Universe\n",
+    "geometry = openmc.Geometry()\n",
+    "geometry.root_universe = root_universe\n",
+    "# Export to \"geometry.xml\"\n",
+    "geometry.export_to_xml()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "With the geometry and materials finished, we now just need to define simulation parameters. In this case, we will use 10 inactive batches and 40 active batches each with 5000 particles."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# OpenMC simulation parameters\n",
+    "batches = 50\n",
+    "inactive = 10\n",
+    "particles = 5000\n",
+    "\n",
+    "# Instantiate a Settings object\n",
+    "settings_file = openmc.Settings()\n",
+    "settings_file.batches = batches\n",
+    "settings_file.inactive = inactive\n",
+    "settings_file.particles = particles\n",
+    "settings_file.output = {'tallies': False}\n",
+    "\n",
+    "# Create an initial uniform spatial source distribution over fissionable zones\n",
+    "bounds = [-10.71, -10.71, -10, 10.71, 10.71, 10.]\n",
+    "uniform_dist = openmc.stats.Box(bounds[:3], bounds[3:], only_fissionable=True)\n",
+    "settings_file.source = openmc.source.Source(space=uniform_dist)\n",
+    "\n",
+    "# Export to \"settings.xml\"\n",
+    "settings_file.export_to_xml()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let us also create a Plots file that we can use to verify that our fuel assembly geometry was created successfully."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Instantiate a Plot\n",
+    "plot = openmc.Plot()\n",
+    "plot.filename = 'materials-xy'\n",
+    "plot.origin = [0, 0, 0]\n",
+    "plot.pixels = [250, 250]\n",
+    "plot.width = [-10.71*2, -10.71*2]\n",
+    "plot.color = 'mat'\n",
+    "\n",
+    "# Instantiate a Plots object, add Plot, and export to \"plots.xml\"\n",
+    "plot_file = openmc.Plots([plot])\n",
+    "plot_file.export_to_xml()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "With the plots.xml file, we can now generate and view the plot. OpenMC outputs plots in .ppm format, which can be converted into a compressed format like .png with the convert utility."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Run openmc in plotting mode\n",
+    "openmc.plot_geometry(output=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPoAAAD6AgMAAAD1grKuAAAABGdBTUEAALGPC/xhBQAAACBjSFJN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\nVDE5OjMzOjM4LTA0OjAwGw4i/QAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Convert OpenMC's funky ppm to png\n",
+    "!convert materials-xy.ppm materials-xy.png\n",
+    "\n",
+    "# Display the materials plot inline\n",
+    "Image(filename='materials-xy.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As we can see from the plot, we have a nice array of fuel and guide tube pin cells with fuel, cladding, and water!\n",
+    "\n",
+    "# Create an MGXS Library\n",
+    "\n",
+    "Now we are ready to generate multi-group cross sections! First, let's define a 2-group structure using the built-in EnergyGroups class."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Instantiate a 2-group EnergyGroups object\n",
+    "groups = openmc.mgxs.EnergyGroups()\n",
+    "groups.group_edges = np.array([0., 0.625e-6, 20.])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Next, we will instantiate an openmc.mgxs.Library for the energy groups with our the fuel assembly geometry."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Initialize an 2-group MGXS Library for OpenMOC\n",
+    "mgxs_lib = openmc.mgxs.Library(geometry)\n",
+    "mgxs_lib.energy_groups = groups"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now, we must specify to the Library which types of cross sections to compute. OpenMC's multi-group mode can accept isotropic flux-weighted cross sections or angle-dependent cross sections, as well as supporting anisotropic scattering represented by either Legendre polynomials, histogram, or tabular angular distributions.  At this time the MGXS Library class only supports the generation of isotropic flux-weighted cross sections and P0 scattering, so that is what will be used for this example.  Therefore, we will create the following multi-group cross sections needed to run an OpenMC simulation to verify the accuracy of our cross sections: \"total\", \"absorption\", \"nu-fission\", '\"fission\", \"nu-scatter matrix\", \"multiplicity matrix\", and \"chi\".\n",
+    "\"multiplicity matrix\" is needed to provide OpenMC's multi-group mode with additional information needed to accurately treat scattering multiplication (i.e., (n,xn) reactions)) explicitly."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Specify multi-group cross section types to compute\n",
+    "mgxs_lib.mgxs_types = ['total', 'absorption', 'nu-fission', 'fission',\n",
+    "                       'nu-scatter matrix', 'multiplicity matrix', 'chi']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we must specify the type of domain over which we would like the `Library` to compute multi-group cross sections. The domain type corresponds to the type of tally filter to be used in the tallies created to compute multi-group cross sections. At the present time, the `Library` supports \"material,\" \"cell,\" and \"universe\" domain types. In this simple example, we wish to compute multi-group cross sections only for each material andtherefore will use a \"material\" domain type.\n",
+    "\n",
+    "**Note:** By default, the `Library` class will instantiate `MGXS` objects for each and every domain (material, cell or universe) in the geometry of interest. However, one may specify a subset of these domains to the `Library.domains` property."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# Specify a \"cell\" domain type for the cross section tally filters\n",
+    "mgxs_lib.domain_type = \"material\"\n",
+    "\n",
+    "# Specify the cell domains over which to compute multi-group cross sections\n",
+    "mgxs_lib.domains = geometry.get_all_materials()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We will instruct the library to not compute cross sections on a nuclide-by-nuclide basis, and instead to focus on generating material-specific macroscopic cross sections.\n",
+    "\n",
+    "**NOTE:** The default value of the `by_nuclide` parameter is `False`, so the following step is not necessary but is included for illustrative purposes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# Do not compute cross sections on a nuclide-by-nuclide basis\n",
+    "mgxs_lib.by_nuclide = False"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we will set the scattering order that we wish to use.  For this problem we will use P3 scattering.  A warning is expected telling us that the default behavior (a P0 correction on the scattering data) is over-ridden by our choice of using a Legendre expansion to treat anisotropic scattering."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/nelsonag/git/openmc/openmc/mgxs/library.py:320: RuntimeWarning: The P0 correction will be ignored since the scattering order 0 is greater than zero\n",
+      "  warnings.warn(msg, RuntimeWarning)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Set the Legendre order to 3 for P3 scattering\n",
+    "mgxs_lib.legendre_order = 3"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now that the `Library` has been setup, lets make sure it contains the types of cross sections which meet the needs of OpenMC's multi-group solver.  Note that this step is done automatically when writing the Multi-Group Library file later in the process (as part of the `mgxs_lib.write_mg_library()`), but it is a good practice to also run this before spending all the time running OpenMC to generate the cross sections."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# Check the library - if no errors are raised, then the library is satisfactory.\n",
+    "mgxs_lib.check_library_for_openmc_mgxs()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Lastly, we use the `Library` to construct the tallies needed to compute all of the requested multi-group cross sections in each domain and nuclide."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# Construct all tallies needed for the multi-group cross section library\n",
+    "mgxs_lib.build_library()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The tallies can now be export to a \"tallies.xml\" input file for OpenMC.\n",
+    "\n",
+    "**NOTE:** At this point the `Library` has constructed nearly 100 distinct Tally objects. The overhead to tally in OpenMC scales as O(N) for N tallies, which can become a bottleneck for large tally datasets. To compensate for this, the Python API's `Tally`, `Filter` and `Tallies` classes allow for the smart merging of tallies when possible. The `Library` class supports this runtime optimization with the use of the optional `merge` parameter (`False` by default) for the `Library.add_to_tallies_file(...)` method, as shown below."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Create a \"tallies.xml\" file for the MGXS Library\n",
+    "tallies_file = openmc.Tallies()\n",
+    "mgxs_lib.add_to_tallies_file(tallies_file, merge=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In addition, we instantiate a fission rate mesh tally to compare with the multi-group result."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Instantiate a tally Mesh\n",
+    "mesh = openmc.Mesh()\n",
+    "mesh.type = 'regular'\n",
+    "mesh.dimension = [17, 17]\n",
+    "mesh.lower_left = [-10.71, -10.71]\n",
+    "mesh.upper_right = [+10.71, +10.71]\n",
+    "\n",
+    "# Instantiate tally Filter\n",
+    "mesh_filter = openmc.Filter()\n",
+    "mesh_filter.mesh = mesh\n",
+    "\n",
+    "# Instantiate the Tally\n",
+    "tally = openmc.Tally(name='mesh tally')\n",
+    "tally.filters = [mesh_filter]\n",
+    "tally.scores = ['fission']\n",
+    "\n",
+    "# Add tally to collection\n",
+    "tallies_file.append(tally, merge=True)\n",
+    "\n",
+    "# Export all tallies to a \"tallies.xml\" file\n",
+    "tallies_file.export_to_xml()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "Time to run the calculation and get our results!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "       .d88888b.                             888b     d888  .d8888b.\n",
+      "      d88P\" \"Y88b                            8888b   d8888 d88P  Y88b\n",
+      "      888     888                            88888b.d88888 888    888\n",
+      "      888     888 88888b.   .d88b.  88888b.  888Y88888P888 888       \n",
+      "      888     888 888 \"88b d8P  Y8b 888 \"88b 888 Y888P 888 888       \n",
+      "      888     888 888  888 88888888 888  888 888  Y8P  888 888    888\n",
+      "      Y88b. .d88P 888 d88P Y8b.     888  888 888   \"   888 Y88b  d88P\n",
+      "       \"Y88888P\"  88888P\"   \"Y8888  888  888 888       888  \"Y8888P\"\n",
+      "__________________888______________________________________________________\n",
+      "                  888\n",
+      "                  888\n",
+      "\n",
+      "      Copyright:      2011-2016 Massachusetts Institute of Technology\n",
+      "      License:        http://openmc.readthedocs.io/en/latest/license.html\n",
+      "      Version:        0.7.1\n",
+      "      Git SHA1:       826d5a43d85eaec1b6c7b4ce22e1a8f5e9336a4f\n",
+      "      Date/Time:      2016-06-08 19:33:38\n",
+      "      OpenMP Threads: 4\n",
+      "\n",
+      " ===========================================================================\n",
+      " ========================>     INITIALIZATION     <=========================\n",
+      " ===========================================================================\n",
+      "\n",
+      " Reading settings XML file...\n",
+      " Reading cross sections XML file...\n",
+      " Reading geometry XML file...\n",
+      " Reading materials XML file...\n",
+      " Reading tallies XML file...\n",
+      " Building neighboring cells lists for each surface...\n",
+      " Loading ACE cross section table: 92235.71c\n",
+      " Loading ACE cross section table: 92238.71c\n",
+      " Loading ACE cross section table: 8016.71c\n",
+      " Loading ACE cross section table: 40090.71c\n",
+      " Loading ACE cross section table: 1001.71c\n",
+      " Loading ACE cross section table: 5010.71c\n",
+      " Maximum neutron transport energy: 20.0000 MeV for 92235.71c\n",
+      " Initializing source particles...\n",
+      "\n",
+      " ===========================================================================\n",
+      " ====================>     K EIGENVALUE SIMULATION     <====================\n",
+      " ===========================================================================\n",
+      "\n",
+      "  Bat./Gen.      k            Average k         \n",
+      "  =========   ========   ====================   \n",
+      "        1/1    1.05201                       \n",
+      "        2/1    1.02017                       \n",
+      "        3/1    1.02398                       \n",
+      "        4/1    1.02677                       \n",
+      "        5/1    1.01070                       \n",
+      "        6/1    1.02964                       \n",
+      "        7/1    1.02163                       \n",
+      "        8/1    1.04524                       \n",
+      "        9/1    1.00773                       \n",
+      "       10/1    1.01536                       \n",
+      "       11/1    1.02992                       \n",
+      "       12/1    1.03248    1.03120 +/- 0.00128\n",
+      "       13/1    0.99044    1.01761 +/- 0.01361\n",
+      "       14/1    1.01484    1.01692 +/- 0.00965\n",
+      "       15/1    1.01491    1.01652 +/- 0.00748\n",
+      "       16/1    1.03809    1.02011 +/- 0.00709\n",
+      "       17/1    1.02536    1.02086 +/- 0.00604\n",
+      "       18/1    1.03663    1.02283 +/- 0.00559\n",
+      "       19/1    1.03902    1.02463 +/- 0.00525\n",
+      "       20/1    1.01557    1.02373 +/- 0.00478\n",
+      "       21/1    1.01286    1.02274 +/- 0.00443\n",
+      "       22/1    1.01392    1.02200 +/- 0.00411\n",
+      "       23/1    1.04439    1.02372 +/- 0.00416\n",
+      "       24/1    1.04034    1.02491 +/- 0.00403\n",
+      "       25/1    0.99433    1.02287 +/- 0.00427\n",
+      "       26/1    1.02720    1.02314 +/- 0.00400\n",
+      "       27/1    1.03545    1.02387 +/- 0.00383\n",
+      "       28/1    1.03853    1.02468 +/- 0.00370\n",
+      "       29/1    1.02735    1.02482 +/- 0.00350\n",
+      "       30/1    1.02429    1.02480 +/- 0.00332\n",
+      "       31/1    1.02901    1.02500 +/- 0.00317\n",
+      "       32/1    1.03296    1.02536 +/- 0.00304\n",
+      "       33/1    1.03605    1.02582 +/- 0.00294\n",
+      "       34/1    1.04247    1.02652 +/- 0.00290\n",
+      "       35/1    1.02088    1.02629 +/- 0.00279\n",
+      "       36/1    1.03017    1.02644 +/- 0.00269\n",
+      "       37/1    1.03216    1.02665 +/- 0.00259\n",
+      "       38/1    1.01459    1.02622 +/- 0.00254\n",
+      "       39/1    1.03706    1.02659 +/- 0.00248\n",
+      "       40/1    1.01383    1.02617 +/- 0.00243\n",
+      "       41/1    0.99043    1.02502 +/- 0.00262\n",
+      "       42/1    1.02891    1.02514 +/- 0.00254\n",
+      "       43/1    1.02100    1.02501 +/- 0.00246\n",
+      "       44/1    0.99546    1.02414 +/- 0.00254\n",
+      "       45/1    1.01562    1.02390 +/- 0.00248\n",
+      "       46/1    1.03025    1.02408 +/- 0.00242\n",
+      "       47/1    0.99409    1.02327 +/- 0.00249\n",
+      "       48/1    1.04355    1.02380 +/- 0.00248\n",
+      "       49/1    1.02763    1.02390 +/- 0.00242\n",
+      "       50/1    0.99426    1.02316 +/- 0.00247\n",
+      " Creating state point statepoint.50.h5...\n",
+      "\n",
+      " ===========================================================================\n",
+      " ======================>     SIMULATION FINISHED     <======================\n",
+      " ===========================================================================\n",
+      "\n",
+      "\n",
+      " =======================>     TIMING STATISTICS     <=======================\n",
+      "\n",
+      " Total time for initialization     =  1.4220E+00 seconds\n",
+      "   Reading cross sections          =  1.1320E+00 seconds\n",
+      " Total time in simulation          =  1.6571E+01 seconds\n",
+      "   Time in transport only          =  1.6501E+01 seconds\n",
+      "   Time in inactive batches        =  2.1010E+00 seconds\n",
+      "   Time in active batches          =  1.4470E+01 seconds\n",
+      "   Time synchronizing fission bank =  5.0000E-03 seconds\n",
+      "     Sampling source sites         =  4.0000E-03 seconds\n",
+      "     SEND/RECV source sites        =  1.0000E-03 seconds\n",
+      "   Time accumulating tallies       =  0.0000E+00 seconds\n",
+      " Total time for finalization       =  0.0000E+00 seconds\n",
+      " Total time elapsed                =  1.8002E+01 seconds\n",
+      " Calculation Rate (inactive)       =  23798.2 neutrons/second\n",
+      " Calculation Rate (active)         =  13821.7 neutrons/second\n",
+      "\n",
+      " ============================>     RESULTS     <============================\n",
+      "\n",
+      " k-effective (Collision)     =  1.02389 +/-  0.00235\n",
+      " k-effective (Track-length)  =  1.02316 +/-  0.00247\n",
+      " k-effective (Absorption)    =  1.02494 +/-  0.00180\n",
+      " Combined k-effective        =  1.02429 +/-  0.00140\n",
+      " Leakage Fraction            =  0.00000 +/-  0.00000\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Run OpenMC\n",
+    "openmc.run()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To make the files available and not be over-written when running the multi-group calculation, we will now rename the statepoint and summary files."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# Move the StatePoint File\n",
+    "ce_spfile = './ce_statepoint.h5'\n",
+    "os.rename('statepoint.' + str(batches) + '.h5', ce_spfile)\n",
+    "# Move the Summary file\n",
+    "ce_sumfile = './ce_summary.h5'\n",
+    "os.rename('summary.h5', ce_sumfile)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Tally Data Processing\n",
+    "\n",
+    "Our simulation ran successfully and created statepoint and summary output files.  Let's begin by loading the StatePoint file, but not automatically linking the summary file."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# Load the statepoint file, but not the summary file, as it is a different filename than expected.\n",
+    "sp = openmc.StatePoint(ce_spfile, autolink=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In addition to the statepoint file, our simulation also created a summary file which encapsulates information about the materials and geometry. This is necessary for the `openmc.mgxs` module to properly process the tally data. We first create a `Summary` object and link it with the statepoint.  Normally this would not need to be performed, but since we have renamed our summary file to avoid conflicts with the Multi-Group calculation's summary file, we will load this in explicitly."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "su = openmc.Summary(ce_sumfile)\n",
+    "sp.link_with_summary(su)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The statepoint is now ready to be analyzed by the `Library`. We simply have to load the tallies from the statepoint into the `Library` and our `MGXS` objects will compute the cross sections for us under-the-hood."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# Initialize MGXS Library with OpenMC statepoint data\n",
+    "mgxs_lib.load_from_statepoint(sp)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The next step will be to prepare the input for OpenMC to use our newly created multi-group data."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Multi-Group OpenMC Calculation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We will now use the `Library` to produce a multi-group cross section data set for use by the OpenMC multi-group solver.  \n",
+    "Note that since this simulation included so few histories, it is reasonable to expect some divisions by zero errors.  This will show up as a runtime warning in the following step."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/nelsonag/git/openmc/openmc/tallies.py:1990: RuntimeWarning: invalid value encountered in true_divide\n",
+      "  self_rel_err = data['self']['std. dev.'] / data['self']['mean']\n",
+      "/home/nelsonag/git/openmc/openmc/tallies.py:1991: RuntimeWarning: invalid value encountered in true_divide\n",
+      "  other_rel_err = data['other']['std. dev.'] / data['other']['mean']\n",
+      "/home/nelsonag/git/openmc/openmc/tallies.py:1992: RuntimeWarning: invalid value encountered in true_divide\n",
+      "  new_tally._mean = data['self']['mean'] / data['other']['mean']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Create a MGXS File which can then be written to disk\n",
+    "mgxs_file = mgxs_lib.create_mg_library(xs_type='macro', xsdata_names=['fuel', 'zircaloy', 'water'],\n",
+    "                                       xs_ids='2m')\n",
+    "\n",
+    "# Write the file to disk using the default filename of `mgxs.xml`\n",
+    "mgxs_file.export_to_xml()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "OpenMC's multi-group mode uses the same input files as does the continuous-energy mode (materials, geometry, settings, plots ,and tallies file).  Differences would include the use of a flag to tell the code to use multi-group transport, a location of the multi-group library file, and any changes needed in the materials.xml and geometry.xml files to re-define materials as necessary (for example, if using a macroscopic cross section library instead of individual microscopic nuclide cross sections as is done in continuous-energy, or if multiple cross sections exist for the same material due to the material existing in varied spectral regions).\n",
+    "\n",
+    "Since this example is using material-wise macroscopic cross sections without considering that the neutron energy spectra and thus cross sections may be changing in space, we only need to modify the materials.xml and settings.xml files.  If the material names and ids are not otherwise changed, then the geometry.xml file does not need to be modified from its continuous-energy form.  The tallies.xml file will be left untouched as it currently contains the tally types that we will need to perform our comparison. \n",
+    "\n",
+    "First we will create the new materials.xml file.  Continuous-energy cross section nuclidic data sets are named with the nuclide name followed by a cross section identifier.  For example, the data for hydrogen is accessed in OpenMC by the name `H-1.71c`.  The cross-section identifier (in this case, `71c`) can be used to distinguish between different variants of `H-1` data, such as for different evaluations or temperatures. OpenMC multi-group libraries use the same convention of a name followed by a xs identifier.  We will use a cross section identifier here of `2m`.  Similar to how continuous-energy cross section libraries are named, the `openmc.Macroscopic` quantities below can either have their `xs_id` included (i.e., `'fuel.2m'`).  An alternative is to leave this extension off and simply change the `default_xs` parameter to `.2m`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# Instantiate our Macroscopic Data\n",
+    "fuel_macro = openmc.Macroscopic('fuel')\n",
+    "zircaloy_macro = openmc.Macroscopic('zircaloy')\n",
+    "water_macro = openmc.Macroscopic('water')\n",
+    "\n",
+    "# Now re-define our materials to use the Multi-Group macroscopic data\n",
+    "# instead of the continuous-energy data.\n",
+    "# 1.6 enriched fuel UO2\n",
+    "fuel = openmc.Material(name='UO2')\n",
+    "fuel.add_macroscopic(fuel_macro)\n",
+    "\n",
+    "# cladding\n",
+    "zircaloy = openmc.Material(name='Clad')\n",
+    "zircaloy.add_macroscopic(zircaloy_macro)\n",
+    "\n",
+    "# moderator\n",
+    "water = openmc.Material(name='Water')\n",
+    "water.add_macroscopic(water_macro)\n",
+    "\n",
+    "# Finally, instantiate our Materials object\n",
+    "materials_file = openmc.Materials((fuel, zircaloy, water))\n",
+    "materials_file.default_xs = '2m'\n",
+    "\n",
+    "# Export to \"materials.xml\"\n",
+    "materials_file.export_to_xml()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "No geometry file neeeds to be written as the continuous-energy file is correctly defined for the multi-group case as well."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Next, we can make the changes we need to the settings file.\n",
+    "These changes are limited to telling OpenMC we will be running a multi-group calculation and pointing to the location of our multi-group cross section file."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Set the location of the cross sections file\n",
+    "settings_file.cross_sections = './mgxs.xml'\n",
+    "settings_file.energy_mode = 'multi-group'\n",
+    "\n",
+    "# Export to \"settings.xml\"\n",
+    "settings_file.export_to_xml()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Finally, since we want similar tally data in the end, we will leave our pre-existing `tallies.xml` file for this calculation.\n",
+    "\n",
+    "At this point, the problem is set up and we can run the multi-group calculation."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {
+    "collapsed": false,
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "       .d88888b.                             888b     d888  .d8888b.\n",
+      "      d88P\" \"Y88b                            8888b   d8888 d88P  Y88b\n",
+      "      888     888                            88888b.d88888 888    888\n",
+      "      888     888 88888b.   .d88b.  88888b.  888Y88888P888 888       \n",
+      "      888     888 888 \"88b d8P  Y8b 888 \"88b 888 Y888P 888 888       \n",
+      "      888     888 888  888 88888888 888  888 888  Y8P  888 888    888\n",
+      "      Y88b. .d88P 888 d88P Y8b.     888  888 888   \"   888 Y88b  d88P\n",
+      "       \"Y88888P\"  88888P\"   \"Y8888  888  888 888       888  \"Y8888P\"\n",
+      "__________________888______________________________________________________\n",
+      "                  888\n",
+      "                  888\n",
+      "\n",
+      "      Copyright:      2011-2016 Massachusetts Institute of Technology\n",
+      "      License:        http://openmc.readthedocs.io/en/latest/license.html\n",
+      "      Version:        0.7.1\n",
+      "      Git SHA1:       826d5a43d85eaec1b6c7b4ce22e1a8f5e9336a4f\n",
+      "      Date/Time:      2016-06-08 19:33:56\n",
+      "      OpenMP Threads: 4\n",
+      "\n",
+      " ===========================================================================\n",
+      " ========================>     INITIALIZATION     <=========================\n",
+      " ===========================================================================\n",
+      "\n",
+      " Reading settings XML file...\n",
+      " Reading cross sections XML file...\n",
+      " Reading geometry XML file...\n",
+      " Reading materials XML file...\n",
+      " Reading tallies XML file...\n",
+      " Building neighboring cells lists for each surface...\n",
+      " Loading Cross Section Data...\n",
+      " Loading fuel.2m Data...\n",
+      " Loading zircaloy.2m Data...\n",
+      " Loading water.2m Data...\n",
+      " Initializing source particles...\n",
+      "\n",
+      " ===========================================================================\n",
+      " ====================>     K EIGENVALUE SIMULATION     <====================\n",
+      " ===========================================================================\n",
+      "\n",
+      "  Bat./Gen.      k            Average k         \n",
+      "  =========   ========   ====================   \n",
+      "        1/1    0.99367                       \n",
+      "        2/1    1.03173                       \n",
+      "        3/1    1.01999                       \n",
+      "        4/1    1.01421                       \n",
+      "        5/1    1.03980                       \n",
+      "        6/1    1.04540                       \n",
+      "        7/1    1.04199                       \n",
+      "        8/1    1.02680                       \n",
+      "        9/1    1.01267                       \n",
+      "       10/1    1.03420                       \n",
+      "       11/1    1.05773                       \n",
+      "       12/1    1.03475    1.04624 +/- 0.01149\n",
+      "       13/1    1.03632    1.04293 +/- 0.00741\n",
+      "       14/1    0.99297    1.03044 +/- 0.01355\n",
+      "       15/1    1.02413    1.02918 +/- 0.01057\n",
+      "       16/1    1.02359    1.02825 +/- 0.00868\n",
+      "       17/1    0.99913    1.02409 +/- 0.00843\n",
+      "       18/1    1.01493    1.02294 +/- 0.00739\n",
+      "       19/1    1.03010    1.02374 +/- 0.00657\n",
+      "       20/1    1.04890    1.02626 +/- 0.00639\n",
+      "       21/1    1.01267    1.02502 +/- 0.00591\n",
+      "       22/1    1.02637    1.02513 +/- 0.00540\n",
+      "       23/1    1.01374    1.02426 +/- 0.00504\n",
+      "       24/1    1.06661    1.02728 +/- 0.00556\n",
+      "       25/1    1.03212    1.02760 +/- 0.00519\n",
+      "       26/1    1.05433    1.02927 +/- 0.00513\n",
+      "       27/1    0.99891    1.02749 +/- 0.00514\n",
+      "       28/1    1.00616    1.02630 +/- 0.00499\n",
+      "       29/1    1.04583    1.02733 +/- 0.00483\n",
+      "       30/1    1.01512    1.02672 +/- 0.00462\n",
+      "       31/1    0.98104    1.02455 +/- 0.00491\n",
+      "       32/1    1.04202    1.02534 +/- 0.00474\n",
+      "       33/1    1.00779    1.02458 +/- 0.00460\n",
+      "       34/1    1.02450    1.02457 +/- 0.00440\n",
+      "       35/1    0.98882    1.02314 +/- 0.00446\n",
+      "       36/1    1.01541    1.02285 +/- 0.00429\n",
+      "       37/1    1.02050    1.02276 +/- 0.00413\n",
+      "       38/1    1.03573    1.02322 +/- 0.00401\n",
+      "       39/1    1.03649    1.02368 +/- 0.00389\n",
+      "       40/1    1.01434    1.02337 +/- 0.00378\n",
+      "       41/1    1.02345    1.02337 +/- 0.00365\n",
+      "       42/1    1.01900    1.02323 +/- 0.00354\n",
+      "       43/1    1.01450    1.02297 +/- 0.00344\n",
+      "       44/1    1.03127    1.02321 +/- 0.00335\n",
+      "       45/1    1.01598    1.02301 +/- 0.00326\n",
+      "       46/1    1.00851    1.02260 +/- 0.00319\n",
+      "       47/1    1.03406    1.02291 +/- 0.00312\n",
+      "       48/1    1.02373    1.02294 +/- 0.00303\n",
+      "       49/1    1.04066    1.02339 +/- 0.00299\n",
+      "       50/1    1.02011    1.02331 +/- 0.00292\n",
+      " Creating state point statepoint.50.h5...\n",
+      "\n",
+      " ===========================================================================\n",
+      " ======================>     SIMULATION FINISHED     <======================\n",
+      " ===========================================================================\n",
+      "\n",
+      "\n",
+      " =======================>     TIMING STATISTICS     <=======================\n",
+      "\n",
+      " Total time for initialization     =  3.1000E-02 seconds\n",
+      "   Reading cross sections          =  5.0000E-03 seconds\n",
+      " Total time in simulation          =  1.1867E+01 seconds\n",
+      "   Time in transport only          =  1.1830E+01 seconds\n",
+      "   Time in inactive batches        =  1.2670E+00 seconds\n",
+      "   Time in active batches          =  1.0600E+01 seconds\n",
+      "   Time synchronizing fission bank =  7.0000E-03 seconds\n",
+      "     Sampling source sites         =  7.0000E-03 seconds\n",
+      "     SEND/RECV source sites        =  0.0000E+00 seconds\n",
+      "   Time accumulating tallies       =  0.0000E+00 seconds\n",
+      " Total time for finalization       =  0.0000E+00 seconds\n",
+      " Total time elapsed                =  1.1907E+01 seconds\n",
+      " Calculation Rate (inactive)       =  39463.3 neutrons/second\n",
+      " Calculation Rate (active)         =  18867.9 neutrons/second\n",
+      "\n",
+      " ============================>     RESULTS     <============================\n",
+      "\n",
+      " k-effective (Collision)     =  1.02638 +/-  0.00260\n",
+      " k-effective (Track-length)  =  1.02331 +/-  0.00292\n",
+      " k-effective (Absorption)    =  1.02579 +/-  0.00132\n",
+      " Combined k-effective        =  1.02558 +/-  0.00136\n",
+      " Leakage Fraction            =  0.00000 +/-  0.00000\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Run the Multi-Group OpenMC Simulation\n",
+    "openmc.run()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Results Comparison\n",
+    "Now we can compare the multi-group and continuous-energy results.\n",
+    "\n",
+    "We will begin by loading the multi-group statepoint file we just finished writing and extracting the calculated keff.\n",
+    "Since we did not rename the summary file, we do not need to load it separately this time."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# Load the last statepoint file and keff value\n",
+    "mgsp = openmc.StatePoint('statepoint.' + str(batches) + '.h5')\n",
+    "mg_keff = mgsp.k_combined"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Next, we can load the continuous-energy eigenvalue for comparison."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "ce_keff = sp.k_combined"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Lets compare the two eigenvalues, including their bias"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Continuous-Energy keff = 1.024295\n",
+      "Multi-Group keff = 1.025577\n",
+      "bias [pcm]: -128.2\n"
+     ]
+    }
+   ],
+   "source": [
+    "bias = 1.0E5 * (ce_keff[0] - mg_keff[0])\n",
+    "\n",
+    "print('Continuous-Energy keff = {0:1.6f}'.format(ce_keff[0]))\n",
+    "print('Multi-Group keff = {0:1.6f}'.format(mg_keff[0]))\n",
+    "print('bias [pcm]: {0:1.1f}'.format(bias))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This shows a small but nontrivial pcm bias between the two methods.  Some degree of mismatch is expected simply to the very few histories being used in these example problems.  An additional mismatch is always inherent in the practical application of multi-group theory due to the high degree of approximations inherent in that method."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Flux and Pin Power Visualizations"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Next we will visualize the mesh tally results obtained from both the Continuous-Energy and Multi-Group OpenMC calculations.\n",
+    "\n",
+    "First, we extract volume-integrated fission rates from the Multi-Group calculation's mesh fission rate tally for each pin cell in the fuel assembly."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# Get the OpenMC fission rate mesh tally data\n",
+    "mg_mesh_tally = mgsp.get_tally(name='mesh tally')\n",
+    "mg_fission_rates = mg_mesh_tally.get_values(scores=['fission'])\n",
+    "\n",
+    "# Reshape array to 2D for plotting\n",
+    "mg_fission_rates.shape = (17,17)\n",
+    "\n",
+    "# Normalize to the average pin power\n",
+    "mg_fission_rates /= np.mean(mg_fission_rates)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we can do the same for the Continuous-Energy results."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# Get the OpenMC fission rate mesh tally data\n",
+    "ce_mesh_tally = sp.get_tally(name='mesh tally')\n",
+    "ce_fission_rates = ce_mesh_tally.get_values(scores=['fission'])\n",
+    "\n",
+    "# Reshape array to 2D for plotting\n",
+    "ce_fission_rates.shape = (17,17)\n",
+    "\n",
+    "# Normalize to the average pin power\n",
+    "ce_fission_rates /= np.mean(ce_fission_rates)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we can easily use Matplotlib to visualize the two fission rates side-by-side."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.text.Text at 0x7fbaddf68550>"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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D//NevF8+N3ajKzY9OtRM8/6hpr9NK5nej0Hsbyev0AkuhBBCVAAFdCGEyAkK6EIIkRMU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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fbaddfdb320>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Force zeros to be NaNs so their values are not included when matplotlib calculates\n",
+    "# the color scale\n",
+    "ce_fission_rates[ce_fission_rates == 0.] = np.nan\n",
+    "mg_fission_rates[mg_fission_rates == 0.] = np.nan\n",
+    "\n",
+    "# Plot the CE fission rates in the left subplot\n",
+    "fig = plt.subplot(121)\n",
+    "plt.imshow(ce_fission_rates, interpolation='none', cmap='jet')\n",
+    "plt.title('Continuous-Energy Fission Rates')\n",
+    "\n",
+    "# Plot the MG fission rates in the right subplot\n",
+    "fig2 = plt.subplot(122)\n",
+    "plt.imshow(mg_fission_rates, interpolation='none', cmap='jet')\n",
+    "plt.title('Multi-Group Fission Rates')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "We also see very good agreement between the fission rate distributions, though these should converge closer together with an increasing number of particle histories in both the continuous-energy run to generate the multi-group cross sections, and in the multi-group calculation itself."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.5.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/docs/source/pythonapi/examples/mgxs-part-iv.rst b/docs/source/pythonapi/examples/mgxs-part-iv.rst
new file mode 100644
index 0000000000..e243255217
--- /dev/null
+++ b/docs/source/pythonapi/examples/mgxs-part-iv.rst
@@ -0,0 +1,13 @@
+.. _notebook_mgxs_part_iv:
+
+====================================================
+MGXS Part IV: Multi-Group Mode Cross-Section Library
+====================================================
+
+.. only:: html
+
+    .. notebook:: mgxs-part-iv.ipynb
+
+.. only:: latex
+
+    IPython notebooks must be viewed in the online HTML documentation.
diff --git a/docs/source/pythonapi/examples/pandas-dataframes.ipynb b/docs/source/pythonapi/examples/pandas-dataframes.ipynb
index 1b05f82075..2c222ad6e0 100644
--- a/docs/source/pythonapi/examples/pandas-dataframes.ipynb
+++ b/docs/source/pythonapi/examples/pandas-dataframes.ipynb
@@ -17,17 +17,14 @@
    },
    "outputs": [],
    "source": [
+    "%matplotlib inline\n",
     "import glob\n",
     "from IPython.display import Image\n",
-    "import matplotlib.pylab as pylab\n",
+    "import matplotlib.pyplot as plt\n",
     "import scipy.stats\n",
     "import numpy as np\n",
     "\n",
-    "import openmc\n",
-    "from openmc.statepoint import StatePoint\n",
-    "from openmc.summary import Summary\n",
-    "\n",
-    "%matplotlib inline"
+    "import openmc"
    ]
   },
   {
@@ -111,11 +108,8 @@
    },
    "outputs": [],
    "source": [
-    "# Instantiate a MaterialsFile, add Materials\n",
-    "materials_file = openmc.MaterialsFile()\n",
-    "materials_file.add_material(fuel)\n",
-    "materials_file.add_material(water)\n",
-    "materials_file.add_material(zircaloy)\n",
+    "# Instantiate a Materials collection\n",
+    "materials_file = openmc.Materials((fuel, water, zircaloy))\n",
     "materials_file.default_xs = '71c'\n",
     "\n",
     "# Export to \"materials.xml\"\n",
@@ -205,7 +199,6 @@
    "source": [
     "# Create fuel assembly Lattice\n",
     "assembly = openmc.RectLattice(name='1.6% Fuel - 0BA')\n",
-    "assembly.dimension = (17, 17)\n",
     "assembly.pitch = (1.26, 1.26)\n",
     "assembly.lower_left = [-1.26 * 17. / 2.0] * 2\n",
     "assembly.universes = [[pin_cell_universe] * 17] * 17"
@@ -242,7 +235,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We now must create a geometry that is assigned a root universe, put the geometry into a `GeometryFile` object, and export it to XML."
+    "We now must create a geometry that is assigned a root universe and export it to XML."
    ]
   },
   {
@@ -266,12 +259,8 @@
    },
    "outputs": [],
    "source": [
-    "# Instantiate a GeometryFile\n",
-    "geometry_file = openmc.GeometryFile()\n",
-    "geometry_file.geometry = geometry\n",
-    "\n",
     "# Export to \"geometry.xml\"\n",
-    "geometry_file.export_to_xml()"
+    "geometry.export_to_xml()"
    ]
   },
   {
@@ -295,16 +284,19 @@
     "inactive = 5\n",
     "particles = 2500\n",
     "\n",
-    "# Instantiate a SettingsFile\n",
-    "settings_file = openmc.SettingsFile()\n",
+    "# Instantiate a Settings object\n",
+    "settings_file = openmc.Settings()\n",
     "settings_file.batches = min_batches\n",
     "settings_file.inactive = inactive\n",
     "settings_file.particles = particles\n",
-    "settings_file.output = {'tallies': False, 'summary': True}\n",
+    "settings_file.output = {'tallies': False}\n",
     "settings_file.trigger_active = True\n",
     "settings_file.trigger_max_batches = max_batches\n",
-    "source_bounds = [-10.71, -10.71, -10, 10.71, 10.71, 10.]\n",
-    "settings_file.set_source_space('box', source_bounds)\n",
+    "\n",
+    "# Create an initial uniform spatial source distribution over fissionable zones\n",
+    "bounds = [-10.71, -10.71, -10, 10.71, 10.71, 10.]\n",
+    "uniform_dist = openmc.stats.Box(bounds[:3], bounds[3:], only_fissionable=True)\n",
+    "settings_file.source = openmc.source.Source(space=uniform_dist)\n",
     "\n",
     "# Export to \"settings.xml\"\n",
     "settings_file.export_to_xml()"
@@ -333,9 +325,8 @@
     "plot.pixels = [250, 250]\n",
     "plot.color = 'mat'\n",
     "\n",
-    "# Instantiate a PlotsFile, add Plot, and export to \"plots.xml\"\n",
-    "plot_file = openmc.PlotsFile()\n",
-    "plot_file.add_plot(plot)\n",
+    "# Instantiate a Plots collection and export to \"plots.xml\"\n",
+    "plot_file = openmc.Plots([plot])\n",
     "plot_file.export_to_xml()"
    ]
   },
@@ -366,8 +357,7 @@
    ],
    "source": [
     "# Run openmc in plotting mode\n",
-    "executor = openmc.Executor()\n",
-    "executor.plot_geometry(output=False)"
+    "openmc.plot_geometry(output=False)"
    ]
   },
   {
@@ -379,7 +369,7 @@
    "outputs": [
     {
      "data": {
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+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPoAAAD6AgMAAAD1grKuAAAABGdBTUEAALGPC/xhBQAAAAFzUkdC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\nMI88x3kAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -412,8 +402,8 @@
    },
    "outputs": [],
    "source": [
-    "# Instantiate an empty TalliesFile\n",
-    "tallies_file = openmc.TalliesFile()\n",
+    "# Instantiate an empty Tallies object\n",
+    "tallies_file = openmc.Tallies()\n",
     "tallies_file._tallies = []"
    ]
   },
@@ -450,14 +440,11 @@
     "\n",
     "# Instantiate the Tally\n",
     "tally = openmc.Tally(name='mesh tally')\n",
-    "tally.add_filter(mesh_filter)\n",
-    "tally.add_filter(energy_filter)\n",
-    "tally.add_score('fission')\n",
-    "tally.add_score('nu-fission')\n",
+    "tally.filters = [mesh_filter, energy_filter]\n",
+    "tally.scores = ['fission', 'nu-fission']\n",
     "\n",
-    "# Add mesh and Tally to TalliesFile\n",
-    "tallies_file.add_mesh(mesh)\n",
-    "tallies_file.add_tally(tally)"
+    "# Add mesh and Tally to Tallies\n",
+    "tallies_file.append(tally)"
    ]
   },
   {
@@ -480,13 +467,12 @@
     "\n",
     "# Instantiate the tally\n",
     "tally = openmc.Tally(name='cell tally')\n",
-    "tally.add_filter(cell_filter)\n",
-    "tally.add_score('scatter-y2')\n",
-    "tally.add_nuclide(u235)\n",
-    "tally.add_nuclide(u238)\n",
+    "tally.filters = [cell_filter]\n",
+    "tally.scores = ['scatter-y2']\n",
+    "tally.nuclides = [u235, u238]\n",
     "\n",
-    "# Add mesh and tally to TalliesFile\n",
-    "tallies_file.add_tally(tally)"
+    "# Add mesh and tally to Tallies\n",
+    "tallies_file.append(tally)"
    ]
   },
   {
@@ -500,7 +486,7 @@
    "cell_type": "code",
    "execution_count": 18,
    "metadata": {
-    "collapsed": true
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -509,17 +495,16 @@
     "\n",
     "# Instantiate tally Trigger for kicks\n",
     "trigger = openmc.Trigger(trigger_type='std_dev', threshold=5e-5)\n",
-    "trigger.add_score('absorption')\n",
+    "trigger.scores = ['absorption']\n",
     "\n",
     "# Instantiate the Tally\n",
     "tally = openmc.Tally(name='distribcell tally')\n",
-    "tally.add_filter(distribcell_filter)\n",
-    "tally.add_score('absorption')\n",
-    "tally.add_score('scatter')\n",
-    "tally.add_trigger(trigger)\n",
+    "tally.filters = [distribcell_filter]\n",
+    "tally.scores = ['absorption', 'scatter']\n",
+    "tally.triggers = [trigger]\n",
     "\n",
-    "# Add mesh and tally to TalliesFile\n",
-    "tallies_file.add_tally(tally)"
+    "# Add mesh and tally to Tallies\n",
+    "tallies_file.append(tally)"
    ]
   },
   {
@@ -565,11 +550,11 @@
       "                  888\n",
       "                  888\n",
       "\n",
-      "      Copyright:      2011-2015 Massachusetts Institute of Technology\n",
-      "      License:        http://mit-crpg.github.io/openmc/license.html\n",
-      "      Version:        0.7.0\n",
-      "      Git SHA1:       21738db07debeabde824c9b955bd3bf0c9a16366\n",
-      "      Date/Time:      2015-10-28 20:55:18\n",
+      "      Copyright:      2011-2016 Massachusetts Institute of Technology\n",
+      "      License:        http://openmc.readthedocs.io/en/latest/license.html\n",
+      "      Version:        0.7.1\n",
+      "      Git SHA1:       ae588276014a905ecc6e0967bf08288ecec5b550\n",
+      "      Date/Time:      2016-05-09 23:01:18\n",
       "      MPI Processes:  1\n",
       "\n",
       " ===========================================================================\n",
@@ -597,35 +582,34 @@
       "\n",
       "  Bat./Gen.      k            Average k         \n",
       "  =========   ========   ====================   \n",
-      "        1/1    0.54958                       \n",
-      "        2/1    0.67628                       \n",
-      "        3/1    0.70618                       \n",
-      "        4/1    0.66601                       \n",
-      "        5/1    0.70876                       \n",
-      "        6/1    0.69708                       \n",
-      "        7/1    0.68623    0.69166 +/- 0.00543\n",
-      "        8/1    0.69159    0.69163 +/- 0.00313\n",
-      "        9/1    0.69908    0.69349 +/- 0.00289\n",
-      "       10/1    0.63865    0.68253 +/- 0.01120\n",
-      "       11/1    0.65439    0.67784 +/- 0.01027\n",
-      "       12/1    0.68518    0.67889 +/- 0.00875\n",
-      "       13/1    0.69507    0.68091 +/- 0.00784\n",
-      "       14/1    0.70129    0.68317 +/- 0.00728\n",
-      "       15/1    0.71336    0.68619 +/- 0.00717\n",
-      "       16/1    0.68725    0.68629 +/- 0.00649\n",
-      "       17/1    0.72579    0.68958 +/- 0.00678\n",
-      "       18/1    0.67149    0.68819 +/- 0.00639\n",
-      "       19/1    0.67771    0.68744 +/- 0.00596\n",
-      "       20/1    0.68035    0.68697 +/- 0.00557\n",
-      " Triggers unsatisfied, max unc./thresh. is 1.09851 for absorption in tally 10002\n",
-      " The estimated number of batches is 24\n",
+      "        1/1    0.55921                       \n",
+      "        2/1    0.63816                       \n",
+      "        3/1    0.68834                       \n",
+      "        4/1    0.71192                       \n",
+      "        5/1    0.67935                       \n",
+      "        6/1    0.68274                       \n",
+      "        7/1    0.66339    0.67307 +/- 0.00967\n",
+      "        8/1    0.65835    0.66816 +/- 0.00743\n",
+      "        9/1    0.66697    0.66786 +/- 0.00527\n",
+      "       10/1    0.70498    0.67528 +/- 0.00847\n",
+      "       11/1    0.68596    0.67706 +/- 0.00714\n",
+      "       12/1    0.68481    0.67817 +/- 0.00614\n",
+      "       13/1    0.68369    0.67886 +/- 0.00536\n",
+      "       14/1    0.68785    0.67986 +/- 0.00483\n",
+      "       15/1    0.66145    0.67802 +/- 0.00470\n",
+      "       16/1    0.71831    0.68168 +/- 0.00561\n",
+      "       17/1    0.68428    0.68190 +/- 0.00512\n",
+      "       18/1    0.67527    0.68139 +/- 0.00474\n",
+      "       19/1    0.68166    0.68141 +/- 0.00439\n",
+      "       20/1    0.65475    0.67963 +/- 0.00446\n",
+      " Triggers unsatisfied, max unc./thresh. is 1.07581 for absorption in tally 10002\n",
+      " The estimated number of batches is 23\n",
       " Creating state point statepoint.020.h5...\n",
-      "       21/1    0.68105    0.68660 +/- 0.00522\n",
-      "       22/1    0.67168    0.68572 +/- 0.00498\n",
-      "       23/1    0.67520    0.68514 +/- 0.00473\n",
-      "       24/1    0.67940    0.68483 +/- 0.00449\n",
-      " Triggers satisfied for batch 24\n",
-      " Creating state point statepoint.024.h5...\n",
+      "       21/1    0.64538    0.67749 +/- 0.00469\n",
+      "       22/1    0.73275    0.68074 +/- 0.00547\n",
+      "       23/1    0.71674    0.68274 +/- 0.00553\n",
+      " Triggers satisfied for batch 23\n",
+      " Creating state point statepoint.023.h5...\n",
       "\n",
       " ===========================================================================\n",
       " ======================>     SIMULATION FINISHED     <======================\n",
@@ -634,28 +618,28 @@
       "\n",
       " =======================>     TIMING STATISTICS     <=======================\n",
       "\n",
-      " Total time for initialization     =  7.3800E-01 seconds\n",
-      "   Reading cross sections          =  1.5600E-01 seconds\n",
-      " Total time in simulation          =  1.5998E+01 seconds\n",
-      "   Time in transport only          =  1.5965E+01 seconds\n",
-      "   Time in inactive batches        =  2.3990E+00 seconds\n",
-      "   Time in active batches          =  1.3599E+01 seconds\n",
+      " Total time for initialization     =  3.9000E-01 seconds\n",
+      "   Reading cross sections          =  8.6000E-02 seconds\n",
+      " Total time in simulation          =  1.0830E+01 seconds\n",
+      "   Time in transport only          =  1.0818E+01 seconds\n",
+      "   Time in inactive batches        =  1.3590E+00 seconds\n",
+      "   Time in active batches          =  9.4710E+00 seconds\n",
       "   Time synchronizing fission bank =  3.0000E-03 seconds\n",
-      "     Sampling source sites         =  1.0000E-03 seconds\n",
-      "     SEND/RECV source sites        =  2.0000E-03 seconds\n",
-      "   Time accumulating tallies       =  3.0000E-03 seconds\n",
+      "     Sampling source sites         =  2.0000E-03 seconds\n",
+      "     SEND/RECV source sites        =  1.0000E-03 seconds\n",
+      "   Time accumulating tallies       =  0.0000E+00 seconds\n",
       " Total time for finalization       =  0.0000E+00 seconds\n",
-      " Total time elapsed                =  1.6754E+01 seconds\n",
-      " Calculation Rate (inactive)       =  5210.50 neutrons/second\n",
-      " Calculation Rate (active)         =  2757.56 neutrons/second\n",
+      " Total time elapsed                =  1.1234E+01 seconds\n",
+      " Calculation Rate (inactive)       =  9197.94 neutrons/second\n",
+      " Calculation Rate (active)         =  3959.46 neutrons/second\n",
       "\n",
       " ============================>     RESULTS     <============================\n",
       "\n",
-      " k-effective (Collision)     =  0.68264 +/-  0.00405\n",
-      " k-effective (Track-length)  =  0.68483 +/-  0.00449\n",
-      " k-effective (Absorption)    =  0.68225 +/-  0.00336\n",
-      " Combined k-effective        =  0.68275 +/-  0.00346\n",
-      " Leakage Fraction            =  0.34345 +/-  0.00167\n",
+      " k-effective (Collision)     =  0.67952 +/-  0.00434\n",
+      " k-effective (Track-length)  =  0.68274 +/-  0.00553\n",
+      " k-effective (Absorption)    =  0.68095 +/-  0.00369\n",
+      " Combined k-effective        =  0.67994 +/-  0.00349\n",
+      " Leakage Fraction            =  0.34133 +/-  0.00332\n",
       "\n"
      ]
     },
@@ -674,8 +658,8 @@
     "# Remove old HDF5 (summary, statepoint) files\n",
     "!rm statepoint.*\n",
     "\n",
-    "# Run OpenMC with MPI!\n",
-    "executor.run_simulation()"
+    "# Run OpenMC!\n",
+    "openmc.run()"
    ]
   },
   {
@@ -698,21 +682,7 @@
     "statepoints = glob.glob('statepoint.*.h5')\n",
     "\n",
     "# Load the last statepoint file\n",
-    "sp = StatePoint(statepoints[-1])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {
-    "collapsed": false,
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "# Load the summary file and link with statepoint\n",
-    "su = Summary('summary.h5')\n",
-    "sp.link_with_summary(su)"
+    "sp = openmc.StatePoint(statepoints[-1])"
    ]
   },
   {
@@ -724,7 +694,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 22,
    "metadata": {
     "collapsed": false
    },
@@ -763,7 +733,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 23,
    "metadata": {
     "collapsed": false
    },
@@ -772,13 +742,13 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[[ 0.18257268]]\n",
+      "[[[ 0.1508711 ]]\n",
       "\n",
-      " [[ 0.07111957]]\n",
+      " [[ 0.05389822]]\n",
       "\n",
-      " [[ 0.40880276]]\n",
+      " [[ 0.19633   ]]\n",
       "\n",
-      " [[ 0.16407535]]]\n"
+      " [[ 0.12963172]]]\n"
      ]
     }
    ],
@@ -793,7 +763,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 24,
    "metadata": {
     "collapsed": false
    },
@@ -807,7 +777,8 @@
        "    <tr>\n",
        "      <th></th>\n",
        "      <th colspan=\"3\" halign=\"left\">mesh 1</th>\n",
-       "      <th>energy [MeV]</th>\n",
+       "      <th>energy low [MeV]</th>\n",
+       "      <th>energy high [MeV]</th>\n",
        "      <th>score</th>\n",
        "      <th>mean</th>\n",
        "      <th>std. dev.</th>\n",
@@ -821,6 +792,7 @@
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
+       "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -829,231 +801,274 @@
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>(0.0e+00 - 6.3e-07)</td>\n",
+       "      <td>0.00e+00</td>\n",
+       "      <td>6.25e-07</td>\n",
        "      <td>fission</td>\n",
-       "      <td>0.000202</td>\n",
-       "      <td>0.000037</td>\n",
+       "      <td>2.34e-04</td>\n",
+       "      <td>3.54e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>(0.0e+00 - 6.3e-07)</td>\n",
+       "      <td>0.00e+00</td>\n",
+       "      <td>6.25e-07</td>\n",
        "      <td>nu-fission</td>\n",
-       "      <td>0.000492</td>\n",
-       "      <td>0.000090</td>\n",
+       "      <td>5.71e-04</td>\n",
+       "      <td>8.62e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>(6.3e-07 - 2.0e+01)</td>\n",
+       "      <td>6.25e-07</td>\n",
+       "      <td>2.00e+01</td>\n",
        "      <td>fission</td>\n",
-       "      <td>0.000076</td>\n",
-       "      <td>0.000004</td>\n",
+       "      <td>7.03e-05</td>\n",
+       "      <td>7.05e-06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>(6.3e-07 - 2.0e+01)</td>\n",
+       "      <td>6.25e-07</td>\n",
+       "      <td>2.00e+01</td>\n",
        "      <td>nu-fission</td>\n",
-       "      <td>0.000204</td>\n",
-       "      <td>0.000010</td>\n",
+       "      <td>1.87e-04</td>\n",
+       "      <td>1.76e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>1</td>\n",
        "      <td>2</td>\n",
        "      <td>1</td>\n",
-       "      <td>(0.0e+00 - 6.3e-07)</td>\n",
+       "      <td>0.00e+00</td>\n",
+       "      <td>6.25e-07</td>\n",
        "      <td>fission</td>\n",
-       "      <td>0.000375</td>\n",
-       "      <td>0.000039</td>\n",
+       "      <td>3.67e-04</td>\n",
+       "      <td>3.61e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>1</td>\n",
        "      <td>2</td>\n",
        "      <td>1</td>\n",
-       "      <td>(0.0e+00 - 6.3e-07)</td>\n",
+       "      <td>0.00e+00</td>\n",
+       "      <td>6.25e-07</td>\n",
        "      <td>nu-fission</td>\n",
-       "      <td>0.000914</td>\n",
-       "      <td>0.000094</td>\n",
+       "      <td>8.94e-04</td>\n",
+       "      <td>8.80e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
        "      <td>1</td>\n",
        "      <td>2</td>\n",
        "      <td>1</td>\n",
-       "      <td>(6.3e-07 - 2.0e+01)</td>\n",
+       "      <td>6.25e-07</td>\n",
+       "      <td>2.00e+01</td>\n",
        "      <td>fission</td>\n",
-       "      <td>0.000107</td>\n",
-       "      <td>0.000013</td>\n",
+       "      <td>1.04e-04</td>\n",
+       "      <td>5.36e-06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
        "      <td>1</td>\n",
        "      <td>2</td>\n",
        "      <td>1</td>\n",
-       "      <td>(6.3e-07 - 2.0e+01)</td>\n",
+       "      <td>6.25e-07</td>\n",
+       "      <td>2.00e+01</td>\n",
        "      <td>nu-fission</td>\n",
-       "      <td>0.000278</td>\n",
-       "      <td>0.000032</td>\n",
+       "      <td>2.76e-04</td>\n",
+       "      <td>1.40e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
        "      <td>1</td>\n",
        "      <td>3</td>\n",
        "      <td>1</td>\n",
-       "      <td>(0.0e+00 - 6.3e-07)</td>\n",
+       "      <td>0.00e+00</td>\n",
+       "      <td>6.25e-07</td>\n",
        "      <td>fission</td>\n",
-       "      <td>0.000564</td>\n",
-       "      <td>0.000056</td>\n",
+       "      <td>6.04e-04</td>\n",
+       "      <td>5.57e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
        "      <td>1</td>\n",
        "      <td>3</td>\n",
        "      <td>1</td>\n",
-       "      <td>(0.0e+00 - 6.3e-07)</td>\n",
+       "      <td>0.00e+00</td>\n",
+       "      <td>6.25e-07</td>\n",
        "      <td>nu-fission</td>\n",
-       "      <td>0.001374</td>\n",
-       "      <td>0.000137</td>\n",
+       "      <td>1.47e-03</td>\n",
+       "      <td>1.36e-04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td>1</td>\n",
        "      <td>3</td>\n",
        "      <td>1</td>\n",
-       "      <td>(6.3e-07 - 2.0e+01)</td>\n",
+       "      <td>6.25e-07</td>\n",
+       "      <td>2.00e+01</td>\n",
        "      <td>fission</td>\n",
-       "      <td>0.000149</td>\n",
-       "      <td>0.000007</td>\n",
+       "      <td>1.41e-04</td>\n",
+       "      <td>6.69e-06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
        "      <td>1</td>\n",
        "      <td>3</td>\n",
        "      <td>1</td>\n",
-       "      <td>(6.3e-07 - 2.0e+01)</td>\n",
+       "      <td>6.25e-07</td>\n",
+       "      <td>2.00e+01</td>\n",
        "      <td>nu-fission</td>\n",
-       "      <td>0.000388</td>\n",
-       "      <td>0.000018</td>\n",
+       "      <td>3.72e-04</td>\n",
+       "      <td>1.82e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
        "      <td>1</td>\n",
        "      <td>4</td>\n",
        "      <td>1</td>\n",
-       "      <td>(0.0e+00 - 6.3e-07)</td>\n",
+       "      <td>0.00e+00</td>\n",
+       "      <td>6.25e-07</td>\n",
        "      <td>fission</td>\n",
-       "      <td>0.000669</td>\n",
-       "      <td>0.000044</td>\n",
+       "      <td>6.45e-04</td>\n",
+       "      <td>4.59e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13</th>\n",
        "      <td>1</td>\n",
        "      <td>4</td>\n",
        "      <td>1</td>\n",
-       "      <td>(0.0e+00 - 6.3e-07)</td>\n",
+       "      <td>0.00e+00</td>\n",
+       "      <td>6.25e-07</td>\n",
        "      <td>nu-fission</td>\n",
-       "      <td>0.001631</td>\n",
-       "      <td>0.000108</td>\n",
+       "      <td>1.57e-03</td>\n",
+       "      <td>1.12e-04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
        "      <td>1</td>\n",
        "      <td>4</td>\n",
        "      <td>1</td>\n",
-       "      <td>(6.3e-07 - 2.0e+01)</td>\n",
+       "      <td>6.25e-07</td>\n",
+       "      <td>2.00e+01</td>\n",
        "      <td>fission</td>\n",
-       "      <td>0.000165</td>\n",
-       "      <td>0.000011</td>\n",
+       "      <td>1.82e-04</td>\n",
+       "      <td>9.37e-06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
        "      <td>1</td>\n",
        "      <td>4</td>\n",
        "      <td>1</td>\n",
-       "      <td>(6.3e-07 - 2.0e+01)</td>\n",
+       "      <td>6.25e-07</td>\n",
+       "      <td>2.00e+01</td>\n",
        "      <td>nu-fission</td>\n",
-       "      <td>0.000433</td>\n",
-       "      <td>0.000029</td>\n",
+       "      <td>4.76e-04</td>\n",
+       "      <td>2.47e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16</th>\n",
        "      <td>1</td>\n",
        "      <td>5</td>\n",
        "      <td>1</td>\n",
-       "      <td>(0.0e+00 - 6.3e-07)</td>\n",
+       "      <td>0.00e+00</td>\n",
+       "      <td>6.25e-07</td>\n",
        "      <td>fission</td>\n",
-       "      <td>0.000932</td>\n",
-       "      <td>0.000069</td>\n",
+       "      <td>7.28e-04</td>\n",
+       "      <td>7.49e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17</th>\n",
        "      <td>1</td>\n",
        "      <td>5</td>\n",
        "      <td>1</td>\n",
-       "      <td>(0.0e+00 - 6.3e-07)</td>\n",
+       "      <td>0.00e+00</td>\n",
+       "      <td>6.25e-07</td>\n",
        "      <td>nu-fission</td>\n",
-       "      <td>0.002270</td>\n",
-       "      <td>0.000168</td>\n",
+       "      <td>1.77e-03</td>\n",
+       "      <td>1.83e-04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>18</th>\n",
        "      <td>1</td>\n",
        "      <td>5</td>\n",
        "      <td>1</td>\n",
-       "      <td>(6.3e-07 - 2.0e+01)</td>\n",
+       "      <td>6.25e-07</td>\n",
+       "      <td>2.00e+01</td>\n",
        "      <td>fission</td>\n",
-       "      <td>0.000183</td>\n",
-       "      <td>0.000011</td>\n",
+       "      <td>1.81e-04</td>\n",
+       "      <td>1.04e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>19</th>\n",
        "      <td>1</td>\n",
        "      <td>5</td>\n",
        "      <td>1</td>\n",
-       "      <td>(6.3e-07 - 2.0e+01)</td>\n",
+       "      <td>6.25e-07</td>\n",
+       "      <td>2.00e+01</td>\n",
        "      <td>nu-fission</td>\n",
-       "      <td>0.000477</td>\n",
-       "      <td>0.000028</td>\n",
+       "      <td>4.72e-04</td>\n",
+       "      <td>2.67e-05</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   mesh 1               energy [MeV]       score      mean std. dev.\n",
-       "        x  y  z                                                     \n",
-       "0       1  1  1  (0.0e+00 - 6.3e-07)     fission  0.000202  0.000037\n",
-       "1       1  1  1  (0.0e+00 - 6.3e-07)  nu-fission  0.000492  0.000090\n",
-       "2       1  1  1  (6.3e-07 - 2.0e+01)     fission  0.000076  0.000004\n",
-       "3       1  1  1  (6.3e-07 - 2.0e+01)  nu-fission  0.000204  0.000010\n",
-       "4       1  2  1  (0.0e+00 - 6.3e-07)     fission  0.000375  0.000039\n",
-       "5       1  2  1  (0.0e+00 - 6.3e-07)  nu-fission  0.000914  0.000094\n",
-       "6       1  2  1  (6.3e-07 - 2.0e+01)     fission  0.000107  0.000013\n",
-       "7       1  2  1  (6.3e-07 - 2.0e+01)  nu-fission  0.000278  0.000032\n",
-       "8       1  3  1  (0.0e+00 - 6.3e-07)     fission  0.000564  0.000056\n",
-       "9       1  3  1  (0.0e+00 - 6.3e-07)  nu-fission  0.001374  0.000137\n",
-       "10      1  3  1  (6.3e-07 - 2.0e+01)     fission  0.000149  0.000007\n",
-       "11      1  3  1  (6.3e-07 - 2.0e+01)  nu-fission  0.000388  0.000018\n",
-       "12      1  4  1  (0.0e+00 - 6.3e-07)     fission  0.000669  0.000044\n",
-       "13      1  4  1  (0.0e+00 - 6.3e-07)  nu-fission  0.001631  0.000108\n",
-       "14      1  4  1  (6.3e-07 - 2.0e+01)     fission  0.000165  0.000011\n",
-       "15      1  4  1  (6.3e-07 - 2.0e+01)  nu-fission  0.000433  0.000029\n",
-       "16      1  5  1  (0.0e+00 - 6.3e-07)     fission  0.000932  0.000069\n",
-       "17      1  5  1  (0.0e+00 - 6.3e-07)  nu-fission  0.002270  0.000168\n",
-       "18      1  5  1  (6.3e-07 - 2.0e+01)     fission  0.000183  0.000011\n",
-       "19      1  5  1  (6.3e-07 - 2.0e+01)  nu-fission  0.000477  0.000028"
+       "   mesh 1       energy low [MeV] energy high [MeV]       score     mean  \\\n",
+       "        x  y  z                                                           \n",
+       "0       1  1  1         0.00e+00          6.25e-07     fission 2.34e-04   \n",
+       "1       1  1  1         0.00e+00          6.25e-07  nu-fission 5.71e-04   \n",
+       "2       1  1  1         6.25e-07          2.00e+01     fission 7.03e-05   \n",
+       "3       1  1  1         6.25e-07          2.00e+01  nu-fission 1.87e-04   \n",
+       "4       1  2  1         0.00e+00          6.25e-07     fission 3.67e-04   \n",
+       "5       1  2  1         0.00e+00          6.25e-07  nu-fission 8.94e-04   \n",
+       "6       1  2  1         6.25e-07          2.00e+01     fission 1.04e-04   \n",
+       "7       1  2  1         6.25e-07          2.00e+01  nu-fission 2.76e-04   \n",
+       "8       1  3  1         0.00e+00          6.25e-07     fission 6.04e-04   \n",
+       "9       1  3  1         0.00e+00          6.25e-07  nu-fission 1.47e-03   \n",
+       "10      1  3  1         6.25e-07          2.00e+01     fission 1.41e-04   \n",
+       "11      1  3  1         6.25e-07          2.00e+01  nu-fission 3.72e-04   \n",
+       "12      1  4  1         0.00e+00          6.25e-07     fission 6.45e-04   \n",
+       "13      1  4  1         0.00e+00          6.25e-07  nu-fission 1.57e-03   \n",
+       "14      1  4  1         6.25e-07          2.00e+01     fission 1.82e-04   \n",
+       "15      1  4  1         6.25e-07          2.00e+01  nu-fission 4.76e-04   \n",
+       "16      1  5  1         0.00e+00          6.25e-07     fission 7.28e-04   \n",
+       "17      1  5  1         0.00e+00          6.25e-07  nu-fission 1.77e-03   \n",
+       "18      1  5  1         6.25e-07          2.00e+01     fission 1.81e-04   \n",
+       "19      1  5  1         6.25e-07          2.00e+01  nu-fission 4.72e-04   \n",
+       "\n",
+       "   std. dev.  \n",
+       "              \n",
+       "0   3.54e-05  \n",
+       "1   8.62e-05  \n",
+       "2   7.05e-06  \n",
+       "3   1.76e-05  \n",
+       "4   3.61e-05  \n",
+       "5   8.80e-05  \n",
+       "6   5.36e-06  \n",
+       "7   1.40e-05  \n",
+       "8   5.57e-05  \n",
+       "9   1.36e-04  \n",
+       "10  6.69e-06  \n",
+       "11  1.82e-05  \n",
+       "12  4.59e-05  \n",
+       "13  1.12e-04  \n",
+       "14  9.37e-06  \n",
+       "15  2.47e-05  \n",
+       "16  7.49e-05  \n",
+       "17  1.83e-04  \n",
+       "18  1.04e-05  \n",
+       "19  2.67e-05  "
       ]
      },
-     "execution_count": 25,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1062,22 +1077,26 @@
     "# Get a pandas dataframe for the mesh tally data\n",
     "df = tally.get_pandas_dataframe(nuclides=False)\n",
     "\n",
+    "# Set the Pandas float display settings\n",
+    "import pandas as pd\n",
+    "pd.set_option('display.float_format', '{:.2e}'.format)\n",
+    "\n",
     "# Print the first twenty rows in the dataframe\n",
     "df.head(20)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 25,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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Vi1TpA03ebyznc/w/P8XG+wU2MLC66Wv+EarblMvlTheh7+RVGruBRZn9Rezf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\nkiRJEsA/A3sng0v+IomuAAAAAElFTkSuQmCC\n",
+      "image/png": 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OYVFVG+lCYrBsw8ByAccN27cv//2RRipJWlIW/SS6JGl5MkAkSU0MEElSEwNkGzY+Pk4S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\nSWry/wHxFqsYpaO7aQAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fdb2da35110>"
+       "<matplotlib.figure.Figure at 0x7f2699a6cad0>"
       ]
      },
      "metadata": {},
@@ -1092,7 +1111,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 26,
    "metadata": {
     "collapsed": false
    },
@@ -1100,18 +1119,18 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.colorbar.Colorbar instance at 0x7fdb2d6d5680>"
+       "<matplotlib.colorbar.Colorbar at 0x7f2694c288d0>"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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juyB1CLimUWx+6JsknUd2G/924I/ymK2S7gYeA4aANRHRcHajKZ9gzWziqNVaOxgoIjaS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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fdb32600050>"
+       "<matplotlib.figure.Figure at 0x7f2694c82650>"
       ]
      },
      "metadata": {},
@@ -1121,16 +1140,16 @@
    "source": [
     "# Extract thermal nu-fission rates from pandas\n",
     "fiss = df[df['score'] == 'nu-fission']\n",
-    "fiss = fiss[fiss['energy [MeV]'] == '(0.0e+00 - 6.3e-07)']\n",
+    "fiss = fiss[fiss['energy low [MeV]'] == 0.0]\n",
     "\n",
     "# Extract mean and reshape as 2D NumPy arrays\n",
     "mean = fiss['mean'].reshape((17,17))\n",
     "\n",
-    "pylab.imshow(mean, interpolation='nearest')\n",
-    "pylab.title('fission rate')\n",
-    "pylab.xlabel('x')\n",
-    "pylab.ylabel('y')\n",
-    "pylab.colorbar()"
+    "plt.imshow(mean, interpolation='nearest')\n",
+    "plt.title('fission rate')\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('y')\n",
+    "plt.colorbar()"
    ]
   },
   {
@@ -1142,7 +1161,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 27,
    "metadata": {
     "collapsed": false
    },
@@ -1173,7 +1192,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 28,
    "metadata": {
     "collapsed": false
    },
@@ -1199,144 +1218,144 @@
        "      <td>10000</td>\n",
        "      <td>U-235</td>\n",
        "      <td>scatter-Y0,0</td>\n",
-       "      <td>0.037095</td>\n",
-       "      <td>0.001150</td>\n",
+       "      <td>3.86e-02</td>\n",
+       "      <td>1.11e-03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>10000</td>\n",
        "      <td>U-235</td>\n",
        "      <td>scatter-Y1,-1</td>\n",
-       "      <td>0.000266</td>\n",
-       "      <td>0.000323</td>\n",
+       "      <td>2.75e-04</td>\n",
+       "      <td>2.96e-04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>10000</td>\n",
        "      <td>U-235</td>\n",
        "      <td>scatter-Y1,0</td>\n",
-       "      <td>-0.000417</td>\n",
-       "      <td>0.000274</td>\n",
+       "      <td>-5.55e-05</td>\n",
+       "      <td>4.33e-04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>10000</td>\n",
        "      <td>U-235</td>\n",
        "      <td>scatter-Y1,1</td>\n",
-       "      <td>-0.000228</td>\n",
-       "      <td>0.000237</td>\n",
+       "      <td>-4.22e-04</td>\n",
+       "      <td>3.51e-04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>10000</td>\n",
        "      <td>U-235</td>\n",
        "      <td>scatter-Y2,-2</td>\n",
-       "      <td>0.000026</td>\n",
-       "      <td>0.000199</td>\n",
+       "      <td>5.88e-05</td>\n",
+       "      <td>2.04e-04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>10000</td>\n",
        "      <td>U-235</td>\n",
        "      <td>scatter-Y2,-1</td>\n",
-       "      <td>-0.000115</td>\n",
-       "      <td>0.000185</td>\n",
+       "      <td>1.00e-04</td>\n",
+       "      <td>2.49e-04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
        "      <td>10000</td>\n",
        "      <td>U-235</td>\n",
        "      <td>scatter-Y2,0</td>\n",
-       "      <td>0.000151</td>\n",
-       "      <td>0.000159</td>\n",
+       "      <td>-8.09e-05</td>\n",
+       "      <td>1.59e-04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
        "      <td>10000</td>\n",
        "      <td>U-235</td>\n",
        "      <td>scatter-Y2,1</td>\n",
-       "      <td>-0.000122</td>\n",
-       "      <td>0.000280</td>\n",
+       "      <td>1.93e-04</td>\n",
+       "      <td>2.14e-04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
        "      <td>10000</td>\n",
        "      <td>U-235</td>\n",
        "      <td>scatter-Y2,2</td>\n",
-       "      <td>0.000008</td>\n",
-       "      <td>0.000181</td>\n",
+       "      <td>1.12e-04</td>\n",
+       "      <td>1.86e-04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
        "      <td>10000</td>\n",
        "      <td>U-238</td>\n",
        "      <td>scatter-Y0,0</td>\n",
-       "      <td>2.328632</td>\n",
-       "      <td>0.013107</td>\n",
+       "      <td>2.34e+00</td>\n",
+       "      <td>1.34e-02</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td>10000</td>\n",
        "      <td>U-238</td>\n",
        "      <td>scatter-Y1,-1</td>\n",
-       "      <td>0.024530</td>\n",
-       "      <td>0.002272</td>\n",
+       "      <td>2.32e-02</td>\n",
+       "      <td>2.97e-03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
        "      <td>10000</td>\n",
        "      <td>U-238</td>\n",
        "      <td>scatter-Y1,0</td>\n",
-       "      <td>-0.000059</td>\n",
-       "      <td>0.002804</td>\n",
+       "      <td>7.50e-04</td>\n",
+       "      <td>2.55e-03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
        "      <td>10000</td>\n",
        "      <td>U-238</td>\n",
        "      <td>scatter-Y1,1</td>\n",
-       "      <td>-0.027990</td>\n",
-       "      <td>0.002536</td>\n",
+       "      <td>-2.73e-02</td>\n",
+       "      <td>3.28e-03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13</th>\n",
        "      <td>10000</td>\n",
        "      <td>U-238</td>\n",
        "      <td>scatter-Y2,-2</td>\n",
-       "      <td>-0.004861</td>\n",
-       "      <td>0.001575</td>\n",
+       "      <td>-2.36e-03</td>\n",
+       "      <td>1.21e-03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
        "      <td>10000</td>\n",
        "      <td>U-238</td>\n",
        "      <td>scatter-Y2,-1</td>\n",
-       "      <td>0.000557</td>\n",
-       "      <td>0.002018</td>\n",
+       "      <td>-1.80e-04</td>\n",
+       "      <td>1.49e-03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
        "      <td>10000</td>\n",
        "      <td>U-238</td>\n",
        "      <td>scatter-Y2,0</td>\n",
-       "      <td>0.006236</td>\n",
-       "      <td>0.001627</td>\n",
+       "      <td>3.23e-03</td>\n",
+       "      <td>2.25e-03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16</th>\n",
        "      <td>10000</td>\n",
        "      <td>U-238</td>\n",
        "      <td>scatter-Y2,1</td>\n",
-       "      <td>-0.000648</td>\n",
-       "      <td>0.001551</td>\n",
+       "      <td>3.75e-03</td>\n",
+       "      <td>1.97e-03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17</th>\n",
        "      <td>10000</td>\n",
        "      <td>U-238</td>\n",
        "      <td>scatter-Y2,2</td>\n",
-       "      <td>-0.001031</td>\n",
-       "      <td>0.001310</td>\n",
+       "      <td>2.07e-03</td>\n",
+       "      <td>1.60e-03</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1344,27 +1363,27 @@
       ],
       "text/plain": [
        "     cell nuclide          score      mean  std. dev.\n",
-       "0   10000   U-235   scatter-Y0,0  0.037095   0.001150\n",
-       "1   10000   U-235  scatter-Y1,-1  0.000266   0.000323\n",
-       "2   10000   U-235   scatter-Y1,0 -0.000417   0.000274\n",
-       "3   10000   U-235   scatter-Y1,1 -0.000228   0.000237\n",
-       "4   10000   U-235  scatter-Y2,-2  0.000026   0.000199\n",
-       "5   10000   U-235  scatter-Y2,-1 -0.000115   0.000185\n",
-       "6   10000   U-235   scatter-Y2,0  0.000151   0.000159\n",
-       "7   10000   U-235   scatter-Y2,1 -0.000122   0.000280\n",
-       "8   10000   U-235   scatter-Y2,2  0.000008   0.000181\n",
-       "9   10000   U-238   scatter-Y0,0  2.328632   0.013107\n",
-       "10  10000   U-238  scatter-Y1,-1  0.024530   0.002272\n",
-       "11  10000   U-238   scatter-Y1,0 -0.000059   0.002804\n",
-       "12  10000   U-238   scatter-Y1,1 -0.027990   0.002536\n",
-       "13  10000   U-238  scatter-Y2,-2 -0.004861   0.001575\n",
-       "14  10000   U-238  scatter-Y2,-1  0.000557   0.002018\n",
-       "15  10000   U-238   scatter-Y2,0  0.006236   0.001627\n",
-       "16  10000   U-238   scatter-Y2,1 -0.000648   0.001551\n",
-       "17  10000   U-238   scatter-Y2,2 -0.001031   0.001310"
+       "0   10000   U-235   scatter-Y0,0  3.86e-02   1.11e-03\n",
+       "1   10000   U-235  scatter-Y1,-1  2.75e-04   2.96e-04\n",
+       "2   10000   U-235   scatter-Y1,0 -5.55e-05   4.33e-04\n",
+       "3   10000   U-235   scatter-Y1,1 -4.22e-04   3.51e-04\n",
+       "4   10000   U-235  scatter-Y2,-2  5.88e-05   2.04e-04\n",
+       "5   10000   U-235  scatter-Y2,-1  1.00e-04   2.49e-04\n",
+       "6   10000   U-235   scatter-Y2,0 -8.09e-05   1.59e-04\n",
+       "7   10000   U-235   scatter-Y2,1  1.93e-04   2.14e-04\n",
+       "8   10000   U-235   scatter-Y2,2  1.12e-04   1.86e-04\n",
+       "9   10000   U-238   scatter-Y0,0  2.34e+00   1.34e-02\n",
+       "10  10000   U-238  scatter-Y1,-1  2.32e-02   2.97e-03\n",
+       "11  10000   U-238   scatter-Y1,0  7.50e-04   2.55e-03\n",
+       "12  10000   U-238   scatter-Y1,1 -2.73e-02   3.28e-03\n",
+       "13  10000   U-238  scatter-Y2,-2 -2.36e-03   1.21e-03\n",
+       "14  10000   U-238  scatter-Y2,-1 -1.80e-04   1.49e-03\n",
+       "15  10000   U-238   scatter-Y2,0  3.23e-03   2.25e-03\n",
+       "16  10000   U-238   scatter-Y2,1  3.75e-03   1.97e-03\n",
+       "17  10000   U-238   scatter-Y2,2  2.07e-03   1.60e-03"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1386,7 +1405,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 29,
    "metadata": {
     "collapsed": false
    },
@@ -1395,8 +1414,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[[ 0.00131009  0.01310707]\n",
-      "  [ 0.00018089  0.00114976]]]\n"
+      "[[[ 0.00159927  0.01341406]\n",
+      "  [ 0.00018637  0.00111048]]]\n"
      ]
     }
    ],
@@ -1417,7 +1436,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 30,
    "metadata": {
     "collapsed": false
    },
@@ -1455,7 +1474,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 31,
    "metadata": {
     "collapsed": false
    },
@@ -1464,13 +1483,13 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[[ 0.04537029]]]\n"
+      "[[[ 0.05767856]]]\n"
      ]
     }
    ],
    "source": [
     "# Get the relative error for the scattering reaction rates in\n",
-    "# the first 30 distribcell instances \n",
+    "# the first 10 distribcell instances \n",
     "data = tally.get_values(scores=['scatter'], filters=['distribcell'],\n",
     "                        filter_bins=[(i,) for i in range(10)], value='rel_err')\n",
     "print(data)"
@@ -1480,222 +1499,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Print the distribcell tally dataframe **without** OpenCG info"
+    "Print the distribcell tally dataframe"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>distribcell</th>\n",
-       "      <th>score</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std. dev.</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>558</th>\n",
-       "      <td>279</td>\n",
-       "      <td>absorption</td>\n",
-       "      <td>0.000093</td>\n",
-       "      <td>0.000013</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>559</th>\n",
-       "      <td>279</td>\n",
-       "      <td>scatter</td>\n",
-       "      <td>0.013504</td>\n",
-       "      <td>0.000805</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>560</th>\n",
-       "      <td>280</td>\n",
-       "      <td>absorption</td>\n",
-       "      <td>0.000084</td>\n",
-       "      <td>0.000010</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>561</th>\n",
-       "      <td>280</td>\n",
-       "      <td>scatter</td>\n",
-       "      <td>0.014215</td>\n",
-       "      <td>0.000612</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>562</th>\n",
-       "      <td>281</td>\n",
-       "      <td>absorption</td>\n",
-       "      <td>0.000091</td>\n",
-       "      <td>0.000008</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>563</th>\n",
-       "      <td>281</td>\n",
-       "      <td>scatter</td>\n",
-       "      <td>0.014545</td>\n",
-       "      <td>0.000590</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>564</th>\n",
-       "      <td>282</td>\n",
-       "      <td>absorption</td>\n",
-       "      <td>0.000112</td>\n",
-       "      <td>0.000012</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>565</th>\n",
-       "      <td>282</td>\n",
-       "      <td>scatter</td>\n",
-       "      <td>0.016321</td>\n",
-       "      <td>0.000729</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>566</th>\n",
-       "      <td>283</td>\n",
-       "      <td>absorption</td>\n",
-       "      <td>0.000092</td>\n",
-       "      <td>0.000007</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>567</th>\n",
-       "      <td>283</td>\n",
-       "      <td>scatter</td>\n",
-       "      <td>0.016163</td>\n",
-       "      <td>0.000661</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>568</th>\n",
-       "      <td>284</td>\n",
-       "      <td>absorption</td>\n",
-       "      <td>0.000104</td>\n",
-       "      <td>0.000011</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>569</th>\n",
-       "      <td>284</td>\n",
-       "      <td>scatter</td>\n",
-       "      <td>0.017384</td>\n",
-       "      <td>0.000599</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>570</th>\n",
-       "      <td>285</td>\n",
-       "      <td>absorption</td>\n",
-       "      <td>0.000111</td>\n",
-       "      <td>0.000011</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>571</th>\n",
-       "      <td>285</td>\n",
-       "      <td>scatter</td>\n",
-       "      <td>0.018015</td>\n",
-       "      <td>0.000774</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>572</th>\n",
-       "      <td>286</td>\n",
-       "      <td>absorption</td>\n",
-       "      <td>0.000125</td>\n",
-       "      <td>0.000012</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>573</th>\n",
-       "      <td>286</td>\n",
-       "      <td>scatter</td>\n",
-       "      <td>0.018294</td>\n",
-       "      <td>0.000828</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>574</th>\n",
-       "      <td>287</td>\n",
-       "      <td>absorption</td>\n",
-       "      <td>0.000119</td>\n",
-       "      <td>0.000013</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>575</th>\n",
-       "      <td>287</td>\n",
-       "      <td>scatter</td>\n",
-       "      <td>0.017483</td>\n",
-       "      <td>0.000757</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>576</th>\n",
-       "      <td>288</td>\n",
-       "      <td>absorption</td>\n",
-       "      <td>0.000113</td>\n",
-       "      <td>0.000014</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>577</th>\n",
-       "      <td>288</td>\n",
-       "      <td>scatter</td>\n",
-       "      <td>0.018248</td>\n",
-       "      <td>0.000782</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     distribcell       score      mean  std. dev.\n",
-       "558          279  absorption  0.000093   0.000013\n",
-       "559          279     scatter  0.013504   0.000805\n",
-       "560          280  absorption  0.000084   0.000010\n",
-       "561          280     scatter  0.014215   0.000612\n",
-       "562          281  absorption  0.000091   0.000008\n",
-       "563          281     scatter  0.014545   0.000590\n",
-       "564          282  absorption  0.000112   0.000012\n",
-       "565          282     scatter  0.016321   0.000729\n",
-       "566          283  absorption  0.000092   0.000007\n",
-       "567          283     scatter  0.016163   0.000661\n",
-       "568          284  absorption  0.000104   0.000011\n",
-       "569          284     scatter  0.017384   0.000599\n",
-       "570          285  absorption  0.000111   0.000011\n",
-       "571          285     scatter  0.018015   0.000774\n",
-       "572          286  absorption  0.000125   0.000012\n",
-       "573          286     scatter  0.018294   0.000828\n",
-       "574          287  absorption  0.000119   0.000013\n",
-       "575          287     scatter  0.017483   0.000757\n",
-       "576          288  absorption  0.000113   0.000014\n",
-       "577          288     scatter  0.018248   0.000782"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Get a pandas dataframe for the distribcell tally data\n",
-    "df = tally.get_pandas_dataframe(nuclides=False)\n",
-    "\n",
-    "# Print the last twenty rows in the dataframe\n",
-    "df.tail(20)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Print the distribcell tally dataframe **with** OpenCG info"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 32,
    "metadata": {
     "collapsed": false
    },
@@ -1718,11 +1527,11 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th></th>\n",
-       "      <th>cell</th>\n",
        "      <th>univ</th>\n",
+       "      <th>cell</th>\n",
        "      <th colspan=\"4\" halign=\"left\">lat</th>\n",
-       "      <th>cell</th>\n",
        "      <th>univ</th>\n",
+       "      <th>cell</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
@@ -1746,375 +1555,375 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>0</th>\n",
+       "      <th>558</th>\n",
+       "      <td>0</td>\n",
        "      <td>10003</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10001</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10002</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>0</td>\n",
-       "      <td>absorption</td>\n",
-       "      <td>0.000123</td>\n",
-       "      <td>0.000012</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>10003</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10001</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10002</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>0</td>\n",
-       "      <td>scatter</td>\n",
-       "      <td>0.017805</td>\n",
-       "      <td>0.000808</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>10003</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10001</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10002</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>1</td>\n",
-       "      <td>absorption</td>\n",
-       "      <td>0.000217</td>\n",
-       "      <td>0.000020</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>10003</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10001</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10002</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>1</td>\n",
-       "      <td>scatter</td>\n",
-       "      <td>0.028867</td>\n",
-       "      <td>0.001263</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>10003</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10001</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10002</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>2</td>\n",
-       "      <td>absorption</td>\n",
-       "      <td>0.000318</td>\n",
-       "      <td>0.000020</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>10003</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10001</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10002</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>2</td>\n",
-       "      <td>scatter</td>\n",
-       "      <td>0.040493</td>\n",
-       "      <td>0.001269</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>10003</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10001</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10002</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>3</td>\n",
-       "      <td>absorption</td>\n",
-       "      <td>0.000386</td>\n",
-       "      <td>0.000018</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>10003</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10001</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10002</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>3</td>\n",
-       "      <td>scatter</td>\n",
-       "      <td>0.048576</td>\n",
-       "      <td>0.001337</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>10003</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10001</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10002</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>4</td>\n",
-       "      <td>absorption</td>\n",
-       "      <td>0.000501</td>\n",
-       "      <td>0.000026</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>10003</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10001</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10002</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>4</td>\n",
-       "      <td>scatter</td>\n",
-       "      <td>0.057063</td>\n",
-       "      <td>0.001715</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>10003</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10001</td>\n",
-       "      <td>5</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10002</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>5</td>\n",
-       "      <td>absorption</td>\n",
-       "      <td>0.000484</td>\n",
-       "      <td>0.000026</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>10003</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10001</td>\n",
-       "      <td>5</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10002</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>5</td>\n",
-       "      <td>scatter</td>\n",
-       "      <td>0.060822</td>\n",
-       "      <td>0.001581</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>10003</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10001</td>\n",
-       "      <td>6</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10002</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>6</td>\n",
-       "      <td>absorption</td>\n",
-       "      <td>0.000532</td>\n",
-       "      <td>0.000039</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>10003</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10001</td>\n",
-       "      <td>6</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10002</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>6</td>\n",
-       "      <td>scatter</td>\n",
-       "      <td>0.069101</td>\n",
-       "      <td>0.002249</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>10003</td>\n",
-       "      <td>0</td>\n",
        "      <td>10001</td>\n",
+       "      <td>16</td>\n",
        "      <td>7</td>\n",
        "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10002</td>\n",
        "      <td>10000</td>\n",
-       "      <td>7</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>279</td>\n",
        "      <td>absorption</td>\n",
-       "      <td>0.000577</td>\n",
-       "      <td>0.000039</td>\n",
+       "      <td>8.19e-05</td>\n",
+       "      <td>7.82e-06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>10003</td>\n",
+       "      <th>559</th>\n",
        "      <td>0</td>\n",
+       "      <td>10003</td>\n",
        "      <td>10001</td>\n",
+       "      <td>16</td>\n",
        "      <td>7</td>\n",
        "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10002</td>\n",
        "      <td>10000</td>\n",
-       "      <td>7</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>279</td>\n",
        "      <td>scatter</td>\n",
-       "      <td>0.076722</td>\n",
-       "      <td>0.002335</td>\n",
+       "      <td>1.33e-02</td>\n",
+       "      <td>6.19e-04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16</th>\n",
+       "      <th>560</th>\n",
+       "      <td>0</td>\n",
        "      <td>10003</td>\n",
-       "      <td>0</td>\n",
        "      <td>10001</td>\n",
+       "      <td>16</td>\n",
        "      <td>8</td>\n",
        "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10002</td>\n",
        "      <td>10000</td>\n",
-       "      <td>8</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>280</td>\n",
        "      <td>absorption</td>\n",
-       "      <td>0.000649</td>\n",
-       "      <td>0.000039</td>\n",
+       "      <td>1.00e-04</td>\n",
+       "      <td>7.93e-06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>17</th>\n",
+       "      <th>561</th>\n",
+       "      <td>0</td>\n",
        "      <td>10003</td>\n",
-       "      <td>0</td>\n",
        "      <td>10001</td>\n",
+       "      <td>16</td>\n",
        "      <td>8</td>\n",
        "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10002</td>\n",
        "      <td>10000</td>\n",
-       "      <td>8</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>280</td>\n",
        "      <td>scatter</td>\n",
-       "      <td>0.081564</td>\n",
-       "      <td>0.001610</td>\n",
+       "      <td>1.40e-02</td>\n",
+       "      <td>5.61e-04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>18</th>\n",
+       "      <th>562</th>\n",
+       "      <td>0</td>\n",
        "      <td>10003</td>\n",
-       "      <td>0</td>\n",
        "      <td>10001</td>\n",
+       "      <td>16</td>\n",
        "      <td>9</td>\n",
        "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10002</td>\n",
        "      <td>10000</td>\n",
-       "      <td>9</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>281</td>\n",
        "      <td>absorption</td>\n",
-       "      <td>0.000680</td>\n",
-       "      <td>0.000032</td>\n",
+       "      <td>9.52e-05</td>\n",
+       "      <td>7.08e-06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>19</th>\n",
+       "      <th>563</th>\n",
+       "      <td>0</td>\n",
        "      <td>10003</td>\n",
-       "      <td>0</td>\n",
        "      <td>10001</td>\n",
+       "      <td>16</td>\n",
        "      <td>9</td>\n",
        "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10002</td>\n",
        "      <td>10000</td>\n",
-       "      <td>9</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>281</td>\n",
        "      <td>scatter</td>\n",
-       "      <td>0.087715</td>\n",
-       "      <td>0.001959</td>\n",
+       "      <td>1.51e-02</td>\n",
+       "      <td>6.50e-04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>564</th>\n",
+       "      <td>0</td>\n",
+       "      <td>10003</td>\n",
+       "      <td>10001</td>\n",
+       "      <td>16</td>\n",
+       "      <td>10</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>282</td>\n",
+       "      <td>absorption</td>\n",
+       "      <td>9.85e-05</td>\n",
+       "      <td>9.47e-06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>565</th>\n",
+       "      <td>0</td>\n",
+       "      <td>10003</td>\n",
+       "      <td>10001</td>\n",
+       "      <td>16</td>\n",
+       "      <td>10</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>282</td>\n",
+       "      <td>scatter</td>\n",
+       "      <td>1.53e-02</td>\n",
+       "      <td>4.63e-04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>566</th>\n",
+       "      <td>0</td>\n",
+       "      <td>10003</td>\n",
+       "      <td>10001</td>\n",
+       "      <td>16</td>\n",
+       "      <td>11</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>283</td>\n",
+       "      <td>absorption</td>\n",
+       "      <td>1.08e-04</td>\n",
+       "      <td>1.34e-05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>567</th>\n",
+       "      <td>0</td>\n",
+       "      <td>10003</td>\n",
+       "      <td>10001</td>\n",
+       "      <td>16</td>\n",
+       "      <td>11</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>283</td>\n",
+       "      <td>scatter</td>\n",
+       "      <td>1.65e-02</td>\n",
+       "      <td>7.04e-04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>568</th>\n",
+       "      <td>0</td>\n",
+       "      <td>10003</td>\n",
+       "      <td>10001</td>\n",
+       "      <td>16</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>284</td>\n",
+       "      <td>absorption</td>\n",
+       "      <td>1.13e-04</td>\n",
+       "      <td>7.91e-06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>569</th>\n",
+       "      <td>0</td>\n",
+       "      <td>10003</td>\n",
+       "      <td>10001</td>\n",
+       "      <td>16</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>284</td>\n",
+       "      <td>scatter</td>\n",
+       "      <td>1.67e-02</td>\n",
+       "      <td>5.51e-04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>570</th>\n",
+       "      <td>0</td>\n",
+       "      <td>10003</td>\n",
+       "      <td>10001</td>\n",
+       "      <td>16</td>\n",
+       "      <td>13</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>285</td>\n",
+       "      <td>absorption</td>\n",
+       "      <td>1.23e-04</td>\n",
+       "      <td>9.53e-06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>571</th>\n",
+       "      <td>0</td>\n",
+       "      <td>10003</td>\n",
+       "      <td>10001</td>\n",
+       "      <td>16</td>\n",
+       "      <td>13</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>285</td>\n",
+       "      <td>scatter</td>\n",
+       "      <td>1.88e-02</td>\n",
+       "      <td>7.25e-04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>572</th>\n",
+       "      <td>0</td>\n",
+       "      <td>10003</td>\n",
+       "      <td>10001</td>\n",
+       "      <td>16</td>\n",
+       "      <td>14</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>286</td>\n",
+       "      <td>absorption</td>\n",
+       "      <td>1.44e-04</td>\n",
+       "      <td>1.34e-05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>573</th>\n",
+       "      <td>0</td>\n",
+       "      <td>10003</td>\n",
+       "      <td>10001</td>\n",
+       "      <td>16</td>\n",
+       "      <td>14</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>286</td>\n",
+       "      <td>scatter</td>\n",
+       "      <td>1.90e-02</td>\n",
+       "      <td>7.07e-04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>574</th>\n",
+       "      <td>0</td>\n",
+       "      <td>10003</td>\n",
+       "      <td>10001</td>\n",
+       "      <td>16</td>\n",
+       "      <td>15</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>287</td>\n",
+       "      <td>absorption</td>\n",
+       "      <td>1.26e-04</td>\n",
+       "      <td>8.66e-06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>575</th>\n",
+       "      <td>0</td>\n",
+       "      <td>10003</td>\n",
+       "      <td>10001</td>\n",
+       "      <td>16</td>\n",
+       "      <td>15</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>287</td>\n",
+       "      <td>scatter</td>\n",
+       "      <td>1.97e-02</td>\n",
+       "      <td>7.23e-04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>576</th>\n",
+       "      <td>0</td>\n",
+       "      <td>10003</td>\n",
+       "      <td>10001</td>\n",
+       "      <td>16</td>\n",
+       "      <td>16</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>288</td>\n",
+       "      <td>absorption</td>\n",
+       "      <td>1.25e-04</td>\n",
+       "      <td>9.59e-06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>577</th>\n",
+       "      <td>0</td>\n",
+       "      <td>10003</td>\n",
+       "      <td>10001</td>\n",
+       "      <td>16</td>\n",
+       "      <td>16</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>288</td>\n",
+       "      <td>scatter</td>\n",
+       "      <td>2.01e-02</td>\n",
+       "      <td>6.75e-04</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   level 1      level 2          level 3        distribcell       score  \\\n",
-       "      cell univ     lat             cell   univ                           \n",
-       "        id   id      id  x  y  z      id     id                           \n",
-       "0    10003    0   10001  0  0  0   10002  10000           0  absorption   \n",
-       "1    10003    0   10001  0  0  0   10002  10000           0     scatter   \n",
-       "2    10003    0   10001  1  0  0   10002  10000           1  absorption   \n",
-       "3    10003    0   10001  1  0  0   10002  10000           1     scatter   \n",
-       "4    10003    0   10001  2  0  0   10002  10000           2  absorption   \n",
-       "5    10003    0   10001  2  0  0   10002  10000           2     scatter   \n",
-       "6    10003    0   10001  3  0  0   10002  10000           3  absorption   \n",
-       "7    10003    0   10001  3  0  0   10002  10000           3     scatter   \n",
-       "8    10003    0   10001  4  0  0   10002  10000           4  absorption   \n",
-       "9    10003    0   10001  4  0  0   10002  10000           4     scatter   \n",
-       "10   10003    0   10001  5  0  0   10002  10000           5  absorption   \n",
-       "11   10003    0   10001  5  0  0   10002  10000           5     scatter   \n",
-       "12   10003    0   10001  6  0  0   10002  10000           6  absorption   \n",
-       "13   10003    0   10001  6  0  0   10002  10000           6     scatter   \n",
-       "14   10003    0   10001  7  0  0   10002  10000           7  absorption   \n",
-       "15   10003    0   10001  7  0  0   10002  10000           7     scatter   \n",
-       "16   10003    0   10001  8  0  0   10002  10000           8  absorption   \n",
-       "17   10003    0   10001  8  0  0   10002  10000           8     scatter   \n",
-       "18   10003    0   10001  9  0  0   10002  10000           9  absorption   \n",
-       "19   10003    0   10001  9  0  0   10002  10000           9     scatter   \n",
+       "    level 1        level 2            level 3        distribcell       score  \\\n",
+       "       univ   cell     lat               univ   cell                           \n",
+       "         id     id      id   x   y  z      id     id                           \n",
+       "558       0  10003   10001  16   7  0   10000  10002         279  absorption   \n",
+       "559       0  10003   10001  16   7  0   10000  10002         279     scatter   \n",
+       "560       0  10003   10001  16   8  0   10000  10002         280  absorption   \n",
+       "561       0  10003   10001  16   8  0   10000  10002         280     scatter   \n",
+       "562       0  10003   10001  16   9  0   10000  10002         281  absorption   \n",
+       "563       0  10003   10001  16   9  0   10000  10002         281     scatter   \n",
+       "564       0  10003   10001  16  10  0   10000  10002         282  absorption   \n",
+       "565       0  10003   10001  16  10  0   10000  10002         282     scatter   \n",
+       "566       0  10003   10001  16  11  0   10000  10002         283  absorption   \n",
+       "567       0  10003   10001  16  11  0   10000  10002         283     scatter   \n",
+       "568       0  10003   10001  16  12  0   10000  10002         284  absorption   \n",
+       "569       0  10003   10001  16  12  0   10000  10002         284     scatter   \n",
+       "570       0  10003   10001  16  13  0   10000  10002         285  absorption   \n",
+       "571       0  10003   10001  16  13  0   10000  10002         285     scatter   \n",
+       "572       0  10003   10001  16  14  0   10000  10002         286  absorption   \n",
+       "573       0  10003   10001  16  14  0   10000  10002         286     scatter   \n",
+       "574       0  10003   10001  16  15  0   10000  10002         287  absorption   \n",
+       "575       0  10003   10001  16  15  0   10000  10002         287     scatter   \n",
+       "576       0  10003   10001  16  16  0   10000  10002         288  absorption   \n",
+       "577       0  10003   10001  16  16  0   10000  10002         288     scatter   \n",
        "\n",
        "        mean std. dev.  \n",
        "                        \n",
        "                        \n",
-       "0   0.000123  0.000012  \n",
-       "1   0.017805  0.000808  \n",
-       "2   0.000217  0.000020  \n",
-       "3   0.028867  0.001263  \n",
-       "4   0.000318  0.000020  \n",
-       "5   0.040493  0.001269  \n",
-       "6   0.000386  0.000018  \n",
-       "7   0.048576  0.001337  \n",
-       "8   0.000501  0.000026  \n",
-       "9   0.057063  0.001715  \n",
-       "10  0.000484  0.000026  \n",
-       "11  0.060822  0.001581  \n",
-       "12  0.000532  0.000039  \n",
-       "13  0.069101  0.002249  \n",
-       "14  0.000577  0.000039  \n",
-       "15  0.076722  0.002335  \n",
-       "16  0.000649  0.000039  \n",
-       "17  0.081564  0.001610  \n",
-       "18  0.000680  0.000032  \n",
-       "19  0.087715  0.001959  "
+       "558 8.19e-05  7.82e-06  \n",
+       "559 1.33e-02  6.19e-04  \n",
+       "560 1.00e-04  7.93e-06  \n",
+       "561 1.40e-02  5.61e-04  \n",
+       "562 9.52e-05  7.08e-06  \n",
+       "563 1.51e-02  6.50e-04  \n",
+       "564 9.85e-05  9.47e-06  \n",
+       "565 1.53e-02  4.63e-04  \n",
+       "566 1.08e-04  1.34e-05  \n",
+       "567 1.65e-02  7.04e-04  \n",
+       "568 1.13e-04  7.91e-06  \n",
+       "569 1.67e-02  5.51e-04  \n",
+       "570 1.23e-04  9.53e-06  \n",
+       "571 1.88e-02  7.25e-04  \n",
+       "572 1.44e-04  1.34e-05  \n",
+       "573 1.90e-02  7.07e-04  \n",
+       "574 1.26e-04  8.66e-06  \n",
+       "575 1.97e-02  7.23e-04  \n",
+       "576 1.25e-04  9.59e-06  \n",
+       "577 2.01e-02  6.75e-04  "
       ]
      },
-     "execution_count": 34,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# Get a pandas dataframe for the distribcell tally data\n",
-    "df = tally.get_pandas_dataframe(summary=su, nuclides=False)\n",
+    "df = tally.get_pandas_dataframe(nuclides=False)\n",
     "\n",
     "# Print the last twenty rows in the dataframe\n",
-    "df.head(20)"
+    "df.tail(20)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 33,
    "metadata": {
     "collapsed": false
    },
@@ -2144,63 +1953,63 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>count</th>\n",
-       "      <td>289.000000</td>\n",
-       "      <td>289.000000</td>\n",
+       "      <td>2.89e+02</td>\n",
+       "      <td>2.89e+02</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean</th>\n",
-       "      <td>0.000418</td>\n",
-       "      <td>0.000022</td>\n",
+       "      <td>4.19e-04</td>\n",
+       "      <td>2.24e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>std</th>\n",
-       "      <td>0.000239</td>\n",
-       "      <td>0.000009</td>\n",
+       "      <td>2.42e-04</td>\n",
+       "      <td>9.14e-06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>min</th>\n",
-       "      <td>0.000018</td>\n",
-       "      <td>0.000004</td>\n",
+       "      <td>1.90e-05</td>\n",
+       "      <td>3.44e-06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25%</th>\n",
-       "      <td>0.000202</td>\n",
-       "      <td>0.000015</td>\n",
+       "      <td>2.02e-04</td>\n",
+       "      <td>1.56e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50%</th>\n",
-       "      <td>0.000402</td>\n",
-       "      <td>0.000021</td>\n",
+       "      <td>4.05e-04</td>\n",
+       "      <td>2.20e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75%</th>\n",
-       "      <td>0.000615</td>\n",
-       "      <td>0.000027</td>\n",
+       "      <td>6.07e-04</td>\n",
+       "      <td>2.89e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max</th>\n",
-       "      <td>0.000892</td>\n",
-       "      <td>0.000044</td>\n",
+       "      <td>9.19e-04</td>\n",
+       "      <td>4.95e-05</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "             mean   std. dev.\n",
-       "                             \n",
-       "                             \n",
-       "count  289.000000  289.000000\n",
-       "mean     0.000418    0.000022\n",
-       "std      0.000239    0.000009\n",
-       "min      0.000018    0.000004\n",
-       "25%      0.000202    0.000015\n",
-       "50%      0.000402    0.000021\n",
-       "75%      0.000615    0.000027\n",
-       "max      0.000892    0.000044"
+       "          mean std. dev.\n",
+       "                        \n",
+       "                        \n",
+       "count 2.89e+02  2.89e+02\n",
+       "mean  4.19e-04  2.24e-05\n",
+       "std   2.42e-04  9.14e-06\n",
+       "min   1.90e-05  3.44e-06\n",
+       "25%   2.02e-04  1.56e-05\n",
+       "50%   4.05e-04  2.20e-05\n",
+       "75%   6.07e-04  2.89e-05\n",
+       "max   9.19e-04  4.95e-05"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2223,7 +2032,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 34,
    "metadata": {
     "collapsed": false
    },
@@ -2232,7 +2041,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Mann-Whitney Test p-value: 0.414863173548\n"
+      "Mann-Whitney Test p-value: 0.303583331507\n"
      ]
     }
    ],
@@ -2261,7 +2070,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 35,
    "metadata": {
     "collapsed": false
    },
@@ -2270,7 +2079,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Mann-Whitney Test p-value: 3.28554363741e-42\n"
+      "Mann-Whitney Test p-value: 6.038663783e-42\n"
      ]
     }
    ],
@@ -2297,7 +2106,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 36,
    "metadata": {
     "collapsed": false
    },
@@ -2310,24 +2119,24 @@
       "A value is trying to be set on a copy of a slice from a DataFrame.\n",
       "Try using .loc[row_indexer,col_indexer] = value instead\n",
       "\n",
-      "See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes.AxesSubplot at 0x7fdb2d5c3e10>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2694c82b10>"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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rwqRJ3zB//i80adIo17P7fvzxx+zeHUlc3C8kJHxMfPwnPPzwxc7HeXmtW7eO\nl19+i8TEdZw+vZbY2Kl07XonHo/H11nTNO08fN1poUiKiYmRYsVKCwQKjBL4XJzO8vLRRxNl3bp1\n0q1bTwkLqyJW6zMCewXqCYQKOKVz59slLS1N7rnnQXG7y0hQUGMpVixCnM5ggX/MUedzJTg4PGNE\nek5SU1Nl7NhxUqfOtQI3CiSax++SYsXKXqZP49LMmDFDAgNvyxhtDyJOZ4gcPXrU11nTtByRD72t\nLtaaCye5LHz9HRRJQ4cOE6gtMNjrobdYKlSol5GmXr1WAr+ZD/WXBTwCxwQqyPfffy8ej0c2bdok\nf/31l8yaNUuCg9tneoD6+5eX7du3nzcfd9zRWwyjlcBYgXYC1wucFqezt9x++70F/THki7Vr14ph\nlBY4YN77bxIUVFJPt6IValyGKdlzcs2lXljznbVr1wF7UJMFpHMQHx8PQEpKCjExe4HxqN8JD6N6\nW5UA7mH16jVYLBZq1qxJs2bNqFWrFsnJ64GD5rnWk5Z2klKlSuWYhwMHDvDTT3OIj/8ZeBw1kcFO\nrNbiREWd4dNPx573Hk6fPs3Jkycv4u7zV/369Rk27BlcrroEBTUiMLAnP/wwI2MqF027Uul/4VeZ\nqVO/4PffV6LaKz4CJgI/AT1p3rw+AMuXLychwR84AiRxdlb9JGy2X6lcOfO4jerVqzN06ADc7msI\nDr4Bw2jLp59OwN/fP8d8JCQkYLUanJ0jy05QUBn++GM+8+Z9S1BQULbHpaSkcOed9xEaWpqSJcvS\nsWN3EhMTL/LTyB9Dhw5k27Z/+O23D9m7d+tVtZqlpmXnDBCbw99pH+bLm69Lf0VO+fJ1BaIFagi8\nKnCrQFvx8yst8+bNk5MnT8ro0aPF37+eQJrACAF/gWvEZisrN910q6SmpmZ77s2bN8vcuXNl9+7d\nF8xHamqq1Kp1rTgcTwmsFpvtFSlTpoqcOXPmvMeNHPm6GEZ7gTiBRHG7u8mAAUMu6rPQtKsVBVxt\nFYBaCja7v+x/Fp6rA7AF2AYMziHNGHP/P5xbHWZD1Zv8lMvraReQkHAGWAT0Rk0csB6LZRl16lTA\n4/FQqVJtRo78jvj4I0BDoD1+frdStWoqf/45k59//vac9UJEhBUrVrBz504aNmxI+fLlL5gPm81G\ndPQcOnU6RmRkb9q2Xc3Spb+ft7QCsHDhCuLjH0GtVOwkIaEfixatOO8xmqblv9z1pYTrgSqo2XXD\nUIFl1wVwWUL1AAAgAElEQVSOsaFWIGwPHABWAj+ilqJN19E8b1XgOuBD1NxZ6Z5CLWEbiHZJkpOT\nef311/nvv6PAClQB0gocRORZ1q5NoHPnexB5E5FHgCQslhaI3ERyspXY2HBzQsPMMxp4PB7uvPN+\n5s37C5utEh7PWn755XuaN29+wTyFhYXx3Xdf5Ok+qlaNZNGiaFJSugMW7PaFVK4cmadzaJp2eYxA\nrSH+r/k+AvgrF8c1Q7WCphvC2Zl5030EeK+bugUIN1+XBeajVizMqeTh69JfkZCcnCxNmrQRqzVC\nYILZK8gjUElgqlcvqWJeC0KJwEsC1wrsEZgmLlcxOXDgQKZzz5o1SwICGgokmMd8L+XK1cjX/Kem\npsrx48fF4/HIsWPHpGLF2hIY2FICA9tImTJVzslTdo4dOybjxo2Td95554K9wDTtSsdl6m11K9CV\n9BFhqhQRkIvjIoB9Xu/3m9tym+ZdYBCgR1tdotmzZ7NpUyIeTwiqgAdn56oq7ZUyEotlEurf1Qng\nSzNdInA3ycnX8ueff2Y6965du0hObgm4zC3tOXjwQoXS3Js581uCgkIJD48kMrIGhw8fZsOGFUyf\nPpRp055hy5bVlClT5rznOHToELVqNWbgwCUMGfIv9es3ZdWqVfmWR027GuUmeCSR+QF+/krps3Ib\n2bLO7GgBOqO6+qzJZr+WRydOnECkMqr28Q1UMIjB4TiN0zkANfflIlyuY5Qs+QU2W2lUwe9a1ATK\nbYBDwD4CAzPXIDZs2BC7/UcgBgCr9SNq1WqUq3z9999/PP30c9x667189NFEJMsMydu3b6d3737E\nx/9OSkos+/cP4sYbu+F2u+nYsSOdO3c+Jz/ZefPNdzh+/BYSEqaRnPwhcXFv8tRTw3KVR03Tspeb\nNo9vgAlACPAI8ADwcS6OOwCU83pfDlWyOF+asua221GlnY6on7RBwFRUK28mI0aMyHgdFRWlu0lm\no1WrVogMRnXL/RQIxGKx8NxzL+ByOZkwoTd2u52XXnqNHj3uIDAwBNWHIb3heyEQRfXqgbRv3z7T\nuaOionjhhccYMaIaDkcQoaHBfPfdnAvmKTY2loYNW3LwYBtSUtrx66/j2LRpG2PGvAWowDFu3Dgs\nlpqc7UfxEMeODeK///4jNDQ01/d/+PBxUlMbo/pkDAP2sXnzCVJSUnA4HBc4WtOKvujo6Ms+X5wF\niARuBEabfzfk8lg7sAOoAPgBa4GaWdJ0BOaar5sCy7I5T2t0m8clmz9/vpQrV1MMo5i0adNZDh06\nlG26lJQUsdud5mhy1fZhsbSUTp06SVJSUo7nP336tOzdu1eSk5Nl9Oj3pH372+SBBx6TmJiYbNNP\nnz5dAgJu8mpfiRGr1SHTp0+Xjz/+RNzuUDGMW8wFqPqYbTTrxOUKlOTk5Bzz4fF45JNPPpMOHe6U\ne+99RHbs2CHTp88Ql6uiQAmB8QKLxG6/Xh588PG8fYiadoXgMkxPYkFNxX6xbkat/7EdGGpu62v+\npRtr7v8H1Tc0q9aoXlrZ8fV3cEXq33+gGMa1Ap+J3d5PQkLCpXv33vLyy69KXFzceY/t2/cpMYzm\nAjPEbn9OwsMryokTJ85J9/nnn0tAQPqcUAnm1CTVJSCgs4BTYJW574xAOXG7W4vbHSZffDHtvNd/\n5ZU3xDBqC3whVutwCQkpLQcOHJCOHTubU7JcL/CAwEZxOgMv6XPStKKKy7SS4BRgHKp/Z2Fjfg5a\nfhIRPvpoIr/+uoRNmzaxb59BQkIvXK751K59hGXLfs92xty0tDRcLn9SU2MAtXa5w9EBP7+VBAQU\n48UXB/L44/0AOHLkCDVqXMOpU8/g8exBdbSbh+qXURKIJ/2fp9t9B336lKR///7UqFHjvHkvViyC\nkyfnk17I9fN7iNdeq8EHH3zK3r2NULWus4G5GMYR4uL+u+TPS9OKmvxYSTA3tqKWh9uJWgxqPbCu\noC+aSz6O31e2I0eOmGuYx5qlgDQJCKgrixcvzjZ9SkqK2Gx+Aqe8qqNuFnhTYJUYRiWZOfPbjPSb\nNm2Shg1biGGUMCdGbGKmr2BOligC68XtLikbN248b15jY2Nl/Pjx4nSGCOzIuL7D8ZgMHjxY3O4y\n5oj59G7KVeShh/rl6+elaUUFl6mr7k1AZaAt0MX863qpF9YKv6SkJGw2J2o0N4AVqzWYxMREfv/9\nd5544hleemkER44cAcBut3P33b1xu29HlSJGojrMPQA0Ij5+MF9/PRtQc1T16/cs//4bT2KiG9Wp\n712gG2rp2+GoxaYa8+ij91KrVq1MeTt+/Dh33HE/FSrUIyqqM3XqNObZZ38lObmWeY5fsFjG4nR+\nQ6dOnVC/f1LNowWbLYVu3ToXzAenaVeB3PS22l3QmdAKl23btjFixJscPXqSkiXDOHiwH8nJD2Oz\n/YphxLBjxy6eeeZl4uOfxG7fxYQJ17FhwwrCwsL49NPxVKjwBvPmjWbHjh2cODEQUD2jbLZdhIaq\n1Qe//PJL/v47gbi4laiOfLNQkxc0B/4EagB9cbsHUrVqlUz5ExFuuKEbGzbUITl5Cnv3zkPkL1TN\nagDQH4fjPtq2bcmoUfOpW7cuLVs25fffm+Dx1AZiSEuz8sADT7B1awtCQkIu6nMSEXbs2EFiYiLV\nq1fXPbc0rQjxdenvirNnzx4JCgoXq/VVgWliGNWlfv3mUqnSNXLjjbfJ7t27pXTpqgJ/ZVQN+fnd\nL6NHjz7nXH/99ZcYRqhYrQPF4XhEihUrI3v27BERkVdeeUWs1iHmOUoIbPeq6upm9opaJ253uKxd\nuzbTefft2ydud0mvaigxR8L/ar4+IIGBJTPSezwe6dKlh0B1gUfNHlz/E3//rjJ16tSL+pxSUlKk\nU6c7xO0uLQEBVaRq1QY59mDTtMKGfKi2yu3cVtpV4quvviIh4XY8nhcAiI+vw4EDXTh6dHdGmsTE\neM7OIgOpqeHExcWfc65mzZqxcuVCvv12Fk5nGL16rcwYDd6sWTNcroeIj38UNZHATcBzqE53v2Gx\nzMbl8mfixPHUr18/03ldLhdpaYmoxvVAVJXUMdTYlHo4nc9y000dMtIvXbqUP/5YjWqucwLPAzUQ\nuZH9+/fz9NODSE1No0+fnjRqlLsBjh98MI4FC06QkLAL8GP37sE88sgAfvhhWq6O1zTNt3wdwK84\nr776mthsT3r9ot8sxYuXy5Smb9+nxO2+QdSys9+L211CmjVrL4ZRXMqVqym//vprrq41atQ74nC4\nxWYzBNwCXQUGCXwpwcHhOY7nSE1NlRtu6CJOZxOBseJy3SqVK9eTkiUrimEUl9tu6yWxsbEZ6X/4\n4QcJCrrZ6548AsUkIKC42Vj/osCrYhihsmjRooxr7N+/XxISErLNQ8+eD5ulo/Rz/p1pJUZNK8zw\n4TK0hYWvv4MrzubNm8VqDRAYIzBRoLQ0atQ00xoeSUlJ0r//IImIqCE1a14ndeo0FYfjUYHDAvPE\nMEJl69atubpecnKyfPHFFxIU1MXrQSzicoVlO8AwJSVFoqI6ib9/XXE664vdHiJ9+z4q8fHxOV4j\nJiZGAgLCBH40e469Jg5HiNSv30TgFa/rfipRUV1k7dq1UrJkeXG7w8XlCpIpUz4/55xvvfW2uN0d\nBJIFPGK3vyCdOt2Zq3vWNF9DBw8dPPLbjz/+KG53bYEWAoEC3QWqSrt2XbJdBCo1NVWsVrtAUsZD\n2O2+W+6+++5cz2C7bt06cx3wGPMcSyQgoES2JY/PPvtM/P1bC6SYaWdK5cr1L3iNxYsXS0REdbFY\nHAIhomYQriZQXGCDea7Z0rhxOwkPryjwhbltg7jdYbJly5ZM50tKSpJ27bqIYZSXwMA6UqFCrVzN\n7qtphQE+XMNcu0IdP34cm60BarLjn1BTm21i2bKjzJo165z0VqsVlysANRMNwAESEuYwc6YwZMg2\nGjRoxrBhL1K3bksaNGid6Rxr167lyy+/JCEhgSFDnsLlqkdwcAv8/bvx9defZ9t7ad++fSQkNOds\nc11LDh3KOmXauVq2bMmHH76F01kWqGTe31bgf8BdwBIMYxA9enTk5MkTQE/zyNo4HC1Zty7z0CY/\nPz9+/fV7li+fzR9/fJYxu+/evXv57rvvWLp06TkTPWqaVnj4OoBfcbZv3y5udwkBh0B8RmnC6XxM\n3n///WyPmTDhYzGMCLHZBovdXkXAu82kj1itkWZPqB/Fai0hjz3WX0aNelcMo7QEBvYQwygnL7zw\nsuzYsUMWLlwohw8fzjF/v/zyixhGJYH9AuvFYmkoISEVZfLkqeLxeM57bxMmTBCHo6HAEK/8HRWL\nxS2VK18j7733gSQnJ4thhAisNPefEMMoL8uXL7/gZzdvnqqyCwrqIv7+VeSeex68YJ40zRfQ1VY6\neBSEX3/9VRyOEuZDNk1gsxhGaVmxYkWOxyxatEheffVVadSoldlWkv5wvk5gttf7iWK1RpjtKnvN\nbUfE7Q7L9SJNr702ypy80S3whsBXYhjV5d13x5z3uHXr1pkj5msLnDSv/Y7Ur98yU7qXXx4pat32\nFmKxhEmvXg9dME8ej0dCQkoJLDTPGycBAbXll19+ydU9FWVnzpyRPn0ek8jIOnLdde3P6VqtFT7o\n4KGDR0E5cOCA1KvXXGw2P3G5AuWTTz4TEZHDhw/LM88Mlh49HpAvv5x2zi/rr76aLoZRXWCzWTqI\nEJjmFTzeErhLwCWwWmCuQIwEBzfL6OmUlcfjkR9//FHGjh0ry5YtExGR559/QazWAV7nXSmlS1e7\n4H198cU0sdkCBQyxWiMlLKy8/Pvvvxn7zzauTxaYJTBYIiKqZtve4y0pKUksFpt4jz0xjPtl4sSJ\nF8xTYRAbGysvvviy3HlnHxkzZuwF79dbx47dxeXqIbBGYKIEBpaU/fv3F2ButUuFDh46eBS0+Ph4\nSUtLExGREydOSOnSlcXheFzgIzGMmjJy5OvnHPPmm29LQEBJs2TQWaCkwLsCr4kaEPiLgGEGlhsE\niovLFSxHjx4951wej0e6d+8tAQH1xeXqK4YRIe+/P06GDXtJrNZBXsFjtZQqVTVX9+TxeGTbtm2y\nfv16SUxMzLRvzpw5EhR0o9d5RQzj7ODG86lSpb5YLB8InBaYL253Kfn7778zpUlJSZEFCxbInDlz\nsp1t2BeSk5OlXr1m4nTeJTBRDKOl3Hvvw7k+1mp1yNlliEX8/XvI5MmTCzjX2qVABw8dPPLDokWL\npHPnu6RDhztk7ty5OaabNGmSGMZtXg/WHeJ2h2SbdvHixRIcfJ2ZbrHAI2bgGCZOZx2x2SqYD1kR\nmC+GUULmzJkjJ0+ezHSeJUuWiL9/Va+H007x8/OXtWvXir9/qMAHAj+IYdSR119/K+O4NWvWSP/+\n/SUysrZERNSU++9/VM6cOXPBz2LlypXi719B1FTwIrBHHA5D5s2bJ//99995j926dasUK1Za1JTy\nJcQwQmXVqlUZ+xMSEqRJkzYSEFBPgoLaSokS5WTr1q2ydetW+f333302Qv3333+XgIBrRI1/EYHT\n4nAEyPHjxy94bGpqqjgcbjnbU84jAQHtZMaMGZch59rFQgcPHTwu1ZIlS8QwwgQmCEwWwygjP/zw\nQ7Zpx44dKy7XA17B4z9xOIxsG4VPnTolxYtHCHwqcEys1nfE6Swh11wTJQ0bNhK7/R6v86QJWCUw\nMErCwsrLpk2bpG/fp6RUqaoSEVFTDKNZppKA01lcDh06JKtXr5abb75Dmje/WcaN+ygjH3PmzBGX\nq7hAkMAnAmvFbr9NypWrLu+9954kJibKwoULpXv3+6R79/tkyZIlGfn2eDzSq9fDEhBQR9zuR8Ru\nLyEOR3EJDm4mgYElc5xRWERk48aN5rQp/5p5/VrCwiIz8vXWW6PF5eoqkCpqka33pGzZWuJ2l5Tg\n4Fbi7x8qP//886V8nRdl7ty5EhQU5fUZp4rTWSzXwWzYsJfNNVTGiNPZW6pUqXfBdV8030IHDx08\nLtXtt/eWs9Ofqwde8+Ydsk27e/dusz1gosBScbs7SM+eOTcmr1u3TmrWvFbc7mBp0KClbNu2TR56\n6AlxuWqaVVm7zWtOENWILWK1vi4hIeXE4eggavzFd6IarycKJIvV+raUL1/rvL2YypevIzBAoKfX\nfcUJ2AUaSenSlcXtDhMYJ/CBGEZYpvYWj8cjc+fOlaefflpcrgoC/5nnmCOhoeVyvO706dMlMPD2\nTIHOz+9sddzDDz9hVt+l718naszJEfP9j+JyBcqSJUsuay+tU6dOSXh4RbHZXhNYKk5nH2natF2u\n8+DxeGTatGnSp8+j8tJLL59TetQKH4pA8OiAWuVnGzA4hzRjzP3/cHaxahewHLV07Sbg9RyO9fV3\nUOTddtu9Ah96PdC+laZNb8ox/erVq6VFiw5StWpjefrpweddmjarw4cPm72dTpnVTQGiBumFCWw0\nr79cVFvJgYw82WxPir9/iFitNqlVq8kFe2UVKxYh8L7AjV5VMXvNIJQmajXB+73ueay0adPpnF/L\nH3/8sfj73+eVziMWi12qVLlGAgJCpVWrjplGwa9YsUIMI9Ir2Pwl/v7FJTU1VdLS0mTYsGHidFYV\n2CWQJjZbP7HZqphpVwiECzQRw6gst9xyd0Zb0+Wwa9cuuemm26Vq1cbSu3dfOXXq1EWfa82aNTJp\n0iSZN29egQfBpKQkmTp1qowePfq8vQG1zCjkwcOGWl62AuDgwmuYX0fmNczTF5Gwm9tbZnMNX38H\nRd6CBQvMqpYpAtPFMMrKN9/MLJBr7dy5UwwjIlPdOtQwf31XFjXqO9QMKqsyHtouVw/54IMPcv0w\nveeeh8TpvEWglln6eFegqsD/zHM+I2rkvAj8IRAiNltJcbtD5NtvZ2WcZ+nSpWIY5bwC2VdisQQI\nfCVwUOz2oVKr1rWZHpADB74gbndpCQ5uJ4YRKrNnz5bk5GRp166LBARUFz+/6wQM8fMLlpo1G4vL\nFSZq8ap6AjPM6ySKy9VIevbsKTNmzLisQeRSffLJZ2IYpcQw7hd//9py5533F1gASU5OliZN2oi/\nf5T4+T0phlFKpk79okCudaWhkAePZqgVgdINMf+8fQT08Hq/Be/pWhUDWAnU4ly+/g6uCL/99pu0\nbXuLtGrVWWbNmnXhAy5SamqqVK/eUOz2wQJbBd4RNT36i2bpo4TA5wKvmr/C3xDoJVZrkFx7bZtz\npghJFx8fLzt37szoORUXFyd33nm/uN0hYrUaonp2tRVIFNggFktx8fMrJlDTLOXMNx/aq8QwSmQq\nTbz22ihxOoMlMLCGBASUFH//FplKIk5nMTly5Eim/GzYsEHmzZuX0V31o48+EsNoJ2oeLBGLZbzU\nrdtcPB6PjBs3Qfz8AgX8BI57nftpsVqbi79/E+nU6Y4iMdgwOTlZnM4AgS3mPcSLv3+1HLtgX6oZ\nM2aIv39LOds9eo0EBoYVyLWuNBTy4NEdmOT1vhfwQZY0P6FW/0k3H0ifE9uGKq3EAqNyuIavvwMt\nix9++EG6desl9977iGzYsOGc/QcPHpS2bbuImjervRlExCwl9PB6eM4WNcr9WoE/xWIZIyVKlD2n\nB9DMmd+K2x0i/v7lJCgoXBYuXCgiqoqsePEIsVpHCnxpBiOrWCxuGTFipAQGhptBq4rXNUWCg6+X\nP/74I9M1Dh8+LOvXr5d58+ZJQEAdOTuv1g6xWAxp3Lid9O7dN9uuxiIizz77nKhuymd7qXnPVHz3\n3X3EYilpBk2PwEGzJPaLQJIEBNTMuK/C7NixY2a15NnPMyjoVvn6668L5Hrjx48Xt/thr+slitVq\nL1IlNV+hkAeP28ld8Gjh9X4+0DBLmmBUtVVUNteQ4cOHZ/wtWLDA19/JVW3q1C/MOv9JYrG8LgEB\nobJ58+Zz0sXGxord7paza517zId4K68qrT1m8Ej1ehC1zdQbaf/+/eaU6n+baX6RoKCSEh8fLx9/\n/LEYxp1eD5ajYrO5JC0tTZYvXy5BQdeIGmUeLLDJTLNP3O5Q2bFjR7b3l5aWJm3adBZ//yiB58Vq\nLSE2260Cc8Vu7y+VKtWVhIQEiY2NlaVLl8rGjRvF4/HIV199Jf7+9c2ShUfs9iHSrt0tIqIGJTqd\nxUR1DqgjUNoshTzqdd9dCqREmJSUJNOnT5dx48ZdcI343PB4PFK+fC2xWN4zSwN/imGEys6dO/Mh\nt+fasGGD2VNwocApcTielJYtc26vu5otWLAg07OSQh48mpK52moo5zaaf4SalS5ddtVWAC8CA7PZ\n7uvvRPNStWpjryogEYvlBRkwYFC2aR944DExjOZmoLlLVO+rcqJWERwlbndVs8rphKR3Hw0IqJPp\nF/j8+fMlOLh1pl+6AQGVZcuWLfLJJ5+IYdzhte+wOBxu8Xg8snXrVnG7S4mann2qqHaWJuJyhcmo\nUe+KiMjJkydl1qxZ8sMPP2RaGyQlJUU+/fRTefrpAWK3h2RURamgUEc+++wzCQ2NlMDAhmK3l5Qy\nZWrIuHEfymOPDRA/v0Bxu0tJjRqNMqrGtm3bJv7+kWbQTBXVsF9TrNYHRbUJ/SQBAWH5PmI7MTFR\nGjduLQEBrcTtflgMI0x++umnSz7vtm3bpGrVa8RqtUtQUEmZPXt2ro9dv369dO/eW2644Xb5/PMv\nc3XMjz/+KGFh5cXhcEvr1h1zLP1pmVHIg4cdNdVqBcCPCzeYN+Vsg3koamFrADewCGiXzTV8/R1o\nXipWbCDwp9cD+1V5/PEB2aZNS0uTsWPHS/fu98nAgUPk7bfflqFDh8ojj/SVxx57Wr777jvp2/cp\nMYxGAqPF7e4sTZu2k5SUlIxzbNu2zexym96gvVFcrmA5deqUHD16VEJDy4nN9pLAt2IYzeTxx5/J\nOLZXr4fF37+hWCxDxe2uKR06dMlYg2Tfvn0SHl5RAgNvlMDANhIZWeOch1JMTIyohv1Er9JTdSlV\nKlIslvSuz3ECDcXPr4IMHPi8/Pfff7Jnz55M1SqpqalStWoDsduHCmwRq/VtKVEiUho0aCkOh1vK\nlq0uixYtkri4uDz1bLuQyZMni79/OznbXrBAwsMr5dv5ExMT89ROs3XrVgkICBOLZbSo5Y+rygcf\njM+3/GiZUciDB8DNqHmvt6NKHgB9zb90Y839/3C2yqousBoVcNah1inNjq+/A83L22+/bw4W+1lg\nqrjdobJy5cqLPp/H45EpU6ZIv35Pyttvv3POVCIiIq+99pa43eESHHyjuN2hMmXK57J27Vrp0aOP\ntG17i1x/fTtp3bqLjBr1TqaHtsfjka+//lpGjhwp3377baYH3R133Cc224sZQdDh6C99+z6V6bqb\nN28W1RDfRWCmqBH0EeJw+It3N2PVrvKMOBzuHOviY2Ji5MYbb5Pw8MrSvPlNsm3btox9sbGx0q5d\nV7HZnGK3O2XAgCH50ng+atQocTi85wY7Lk5n4CWf92INHTpMrNbnvPKzVMqVq3XB4w4fPiyTJk2S\niRMn6jXk84AiEDwKmq+/A82Lx+ORsWM/lIYN20jLlh0lOjr6slx38+bNMmfOHNm5c6ds3LjRnLbk\nLYHPxDDKZ7sS4Pk0atRWVGN1+oNshrRvf1vG/sTERClVqpLZTnOTqOVzHxIoIVZrgFgso8zjTgk0\nEPhM7HZnniYbTHffff3E6expVo8dFX//a2Ty5Ck5pj906JC89dZb8vLLI2XdunU5plu2bJlZdbdW\nIFEcjselXbuuec5ffhky5AWxWIZ6feYrpWzZmuc9ZteuXVK8eIQYxl1iGHdLsWJlcmyv0jJDBw8d\nPAqj06dPyy233COGUUzCwyvlatzInj17ZMqUKTJr1qxsSxjnM336DImMrC1hYRWlXr0m5q/99IfQ\nb1Kt2rV5Ot/Agc+L291F1HxasWIYbTLNm7Vx40YJCKgqanxGDVHjU/wEnhB4T6zWQFGTPoYI3C4u\nVwe5664+ecpDugoV6ovqLfaQwH0Cj0uHDrfKjBkzMpVQRNRMyKGh5cTP7wGxWgeJYYTKggULJCYm\nRm69tZfUqHGd9Or1SMaEjFOnfiGBgWFitdrl+utvlmPHjl1UHvPD2aA/XuB7MYzaMmrUO+c95q67\nHhCbbUTGd221virdu/e+TDku2tDBQwePwqhbt3vE6ewlak3zxWIY4eetvlq6dKn4+4dKQMBdEhDQ\nQurVaybx8fHi8Xjk6NGjmdo5soqOjjaXsF0gsMWccNG7W+wiqVy5YZ7yn5iYKF273iV2u0tsNqfc\nc8+DmUoNqodUiKgpU4qbJRC3wFNm24dVZs6cKddf30Fq124uzz77/EW3VzRo0MIMQqNEzQRQQmy2\nQAkKulXc7lCZOfPbjLSDBg0Vm817Ia4ZUq9eCylfvqbY7UMEloif38PSoEELSUtLk5SUFNm9e3eh\nmU5k1apV0qFDd2ne/Gb58MOJF6yea9Wqi8C3Xvf7ozRvfvNlyq36kXTfff2kYsUG0qbN2TazvEpI\nSJB///1XTp8+nc85zBk6eOjgURgZRjEzcKhGY6v1TunXr1+2a5KLiNSs2URgekbDs9vdVZ577jkJ\nD68oTmeIGEbmkd/e+vd/Rs6OHPceBf6pwE9iGDVkzJhxF3UfZ86cyXGCv8aNW5kljraiBjd+IhAp\n8JaUKFFW/vjjj0zrhKTL+kBMSko6b3C89da7s9zfdwItzdd/i59fgPz+++/i8XjkgQceE3gvU9VP\n6dKVJTCwode2NDGMCJk7d66Eh1cUw4gQP78Aef/9i/uM8iIuLu6895pXb731rhhGU1HjYg6LYbSQ\n//3vrQsfmE9at+5o/khaIVbr21K8eESuS28ej0fmzJkjTz/9tPnDqaK4XMG57mV2qdDBQwePwig8\nvJKoadhjzGqduuJ01pR69Zpl6vaarnjxcgI7vR5wI8QwQkWNNk8f+R0qu3btOufYF18cLnb7o17H\nziTGVtsAACAASURBVJayZatLmzZdpUmTG2TixI/zbXT24sWL5aWXhsugQYPE7Y4QOJaRP1U66G4u\nnlVMgoNbissVJi+++IqIiOzdu1caNGgpVqtNSpQoZw6mvEdsNj+x253Sv/9AWbFihQwe/LyMHPmK\nHDhwQETUVCtqnq70+/tF1Nxc6e/dYhgV5aGH+svcuXPNcTbLBXaIYURJz573S0BADTk7XiZBXK5Q\niYioKvCxuW2nGEaZTNPH56djx45J06btxGZzisPhljfeGJ0v501LS5Mnnxwkfn7+4ufnL489NuCi\n2pUuxsmTJ8VuN+RsV22RwMCbczUeJy0tTRo1aiEWS7ioThdzzXNsELe74MbFeEMHDx08CqNvvpkp\nhhEuFkt9gYEZv3idzl4yaNAL56Tv2vVu8fN72PwfcY+4XOXFzy/U6wEpEhTUSb7//vtzjj148KCE\nhUWKw/GwwEtiGHkbW5BbkydPFcMoIxbLC+Lnd51YrW0z5U+NFSkpaoXExZI+tsQwImT16tVSo0Yj\nsdlGiurau0Ds9mBxOruKWif+mDid1cThKCbwktjtj0rx4hGyb98++fnnn8XPr4RZMpsjqi3lZfP8\nEwWqCZwSf/8KsmLFCpk06f/tnXd4FNX6x7/bd2ZbSJY0AoTepERQigpBijQRQZSOCKICIoIFBaVX\nFRQv0otc4UooIlJ+CEhERDAgxAb3Kh2kSA2QUJL9/v44s8luCiQkIQmez/Psk93ZOWfemeycd855\n2zyGhpZnsWIlOGDAECYlJfGBB6JptXYksICK0pwtW3bQqh56UuW32Xpy7ty5eX7dPB4PW7ToQJNp\nAL1xLKpaLk9Tz3s8nmw9IHg8Hl65ciVPHiauXr1Ko9HKtJQyHtpsdbl27dpM9z969Ci3bNnCY8eO\nsU+fftpD1QKKzAe+GQ4ey5ffb3oglYdUHoWVuLg4hoRUJBDrc3MsYuvWnTLse+HCBTZs2JIGg5km\nk8KxYyfSYnFQRF2TwEWqaqksn4xPnTrFsWPH8c033+bOnTvz5XyKFQtnWiT7fylqhXgzAS/XniAH\nUSxl+afnWLhwofaUmjZY6/UlCWz12VaVouyt+N5gGMT+/QcyLKwMTaYK1OlKU68PYvv2HbVro1Ik\ne/wtS+X6zTffcOrUqVy2bBmHDRvBdu26cfz4ybx+/bpWtGqzdrwEGgylGRZWnk880YUnT57M9Bp4\nPB6uX7+e06ZNy9STLikpiR98MIX9+7/KmTNnsn79ZjQYzNTpbD6zHBIYwbffHn7L651dhZBdtm3b\nxqCgCOr1ZppMAaxV6yG/wmdHjhxh16592LDh45w48f1szWDat+9MUUpgBoGnqdc7M/VwmzNnPhUl\niC7Xw1SUIK3WzG/ag0MARTlmEjhJVQ3Nk2j/2wGpPKTyKMw891x/Wiw9tCfORCpKc44bNynL/a9d\nu5YaC7Fo0WdUlOJ0ONrTZotk//5Dbnu8U6dOcdWqVdyyZUue5zcSCf/OEzhFYBf1+sY0Gm1U1RI0\nGp0EBlIE3IUTWEVRA/1R6vWBXLx4Mc1mG9OKRN2gXh+o7WsgcD9FWpIffQbYybTbQwlEEKipKYuy\nfPDBR5mUlMTg4NIE5mjK54fUZb1jx47x8OHDfOedMbTZytJsHkBVrcKQkAp0OILpcpWkxWKjogTQ\nbHZRVetQ5BmrRmAnjcY3WLZs9Uw93vr2HUibrQqt1peoqmVSl+RIkRSxdu2GWrGrydTrK1Cna0AR\nKPk9hWPBLwRSqCgtOGPGjCyv9YQJ71FRXDQaLXzqqR5MSkrK1f/uwoULdDiCKfKleSjsRkG0WoO5\nYcMGnj17lsWLl6LBMJzASqrqQ3zxxVdu2afH42GjRm0I9KDwhBtJYDi7d++bus/333/PqKiG1OlU\npuVw20fhXOFV3Mu1B5HaVJRgjh49MVfnml0glYdUHoWZhIQE1qvXhFZrMC2WYmzbtlOWRvPM2L9/\nP5cuXcoffviBR48e5bRp0zh9+nSePn06tf+4uDgePnyYcXFxdDiC6XS2ot1ejY0bt86RcTYlJYUx\nMTGcNGkSN27cyOvXr3Po0HdZu/ajbNeuK5s0aUODoR5FLqxqBBROmzaNhw4d4tSp0zTD7XltpqVQ\npFpZQWAGVdXNrl270WRy0GRqQkWpSYPBrg1i1yiKcakEamtPpLE0mQKo1zdg2pr6xwQq0WQK4sWL\nF7lr1y6WLFmJRqOVdnsQv/jiCz722JO0Wt20WkOo0zkoXIk9FMklh1AELy6hWF7bSoMhmEZjGEVK\nmHAKY7uHDkfVDLXXRZXEMKblIztFi8WV+r/YsGED7fbaTItYP0OxhJeofe5Ci+V+2u11WadOoyzd\nsZcvX05VrajJfomK8kSGAM2c8sMPP9DlqkPfGaHII/YuW7V6Rou29y2vfJZGoyXLB5BZs+ZSVQO0\nWcP/+bRbwLZtu6ReL2G3G6Ep/7RjWyxVaDaXJPAZgVHU6RROmjQpy6zR+QGk8pDKo7Dj8Xh49OhR\nvzTnOeW3336jwxFMq/U5Wq1dGRQUwTVr1jAgIIxOZy1arUEsVqwURTwECdykqkZz3rx52ZbxySe7\n0mZ7gEbjYKpqWVar9gAV5TECG2gwjKHLFUK93kXgT3pdgO32ICYlJTElJYUvvTSIBoOZBoNZG2S/\n8xkwmtFojKBe/zrN5gdYrlxVGo0PpBvMilNkGS5Gt7sMW7RoQ38vqwOaQnLQaLTRaLTylVfeYEJC\nAj0eD4cPH6XFplynyPrbnqKa4t/aIOfx6au1prCCmGb0P0oxA6lOwMxy5Wr6JbWMjY2ly9XAT2aH\nowJ///13kuSKFSvocLT2+T6ZIn3LeQLJtNnqceDAgVy9evUtHyB69epHfweBn1i6dPU7/u2QIpjQ\nag1iWsXGv7RrMolNm7bjggULaLP5VoA8R8BApzOECxb4B2Ru3bpVq0nzO0VJgaoE9lDM/soyJmYZ\nSXL06DE0GIZo1z+QafVp3ifgoMlkp9tdjh06dL1jF9/cAKk8pPL4J9CixVPU6dLKtxoMb1NVg5nm\n3vs3gVCKJQDvADCc7747Ilv979ixgzZbeYqgQLH2LIL+0tKMWK31qCi+db5Jm62kn2fMjRs3mJSU\nxHLloijsGSRwRXsC9/Z1nYoSSWFgv+JzPJXACzQaB3PixIlcvHgxrdaaFJl/PQTeJlCWorjVTQJn\nabNFcdGiRSTJpk3bM62YlNcr6z5tILRqx6DWtjpFgSxfF15SLJ2NIXCROt10BgdHpi4ZnTt3jk5n\nCMVs6jqBuSxevHTqDOLMmTMMCAijMOLvo9H4PHW6AFos/Wm3P8IGDZr5zQTnzVvAoKBStNmC2L17\n39TjDB8+gkZjRwJPUBTIasSoqEdy/RsaNmwULZYIAk9q59meQADt9kDu2rWLQUERWsDhaoqZWmMC\nu6mq4X417seNG0eDwZtGxUNgOAEnIyKqcMaMWan7TZ48mWZzb22/LyhmrMGaQo0l8DfN5t5s3vzJ\nXJ/bnQCpPKTy+Cdw//2N6Z8u5FMCOvqma9fre1Cv95adPUmbrWK2vVbWrVtHl6upT/8e7Wb/JXWb\nqjai2RxIUUKWBL6nzRaY6Xr8lCkf0mgMItCMomKhnb5P/g5HCzocYQQqEehHIJJiKexdqmqZ1LiN\n559/WTM2uymWlZwE4n3k/JC9e/cnSc1l9VmmZed9iDpdMQJOmkx2mkyhBPoTqEudrgItlie0tfiN\nWpulmpxJPnJWYXx8fOp57dixgyVKVKReb2DZsjW4bt06v7iGn3/+mbVrRzMkRBjeN2/ezA8//JBL\nlizxm218/fXXWoXGXQRO0Gptw+efH0hSzBJEhP54CgeFZ1m5cu07Mp4fPXqUP/30U2qszvbt2xka\nWooiZUwXAt9Sr3+L/foN4sGDBxkSUp7Cm601gQcJ9KRO9yZHjx6d2qdI9d+MactzGxgRUTn1+zNn\nzrBPnz5s06YN7fZAGgyvEfiEilKazZo1p9ncz+f/d4kmk5Lj88oLIJWHVB7/BEaOHE9VfYTi6f0g\nbbaaDAgo4fOkfZaKUoalS1eixRJIk0nlO++Mvn3HGqdPn9YMqssITCIQSZ2uGE2mCgQ+p9E4hGFh\n5Thp0ge0WovR6axNm83t563jJSEhgaVKVabB8ByBT6jXl6PTGa491Z4lsIwORzBjY2NptwfRYqlI\noAR1OieNRiVDkNvJkyc5ffp0TpkyhdWrN/DJ2Ouh1dqR48ZNICliKSwWN4XrbgSFK+guijK7QbRY\n6tBodLFLly58//33OX36dK5atYoBAaE0Gq10u0vRYgmiSANPAudptQby2LFjGc5x2bJl1OttFMZ+\nG9u27ZgjB4WBA4cQmOAziP7G0NAKJIXtxOHwjWNJodXqTo178eXy5cvcuHEjv/322wxLYa++OpRW\nayCdzvvodpfkL7/8QpKsXLku02aFJPAJO3fuza1bt2pK2psl+ap23Zrwk0/Ssvteu3aNtWs3pN3+\nCFW1F1XVza+//pqkqC9jMgUSqE/geQIOPvRQQ3bu3JtffPGFZlvxPuCQQByLFQvPcF7bt2/n228P\n5+TJk3nu3LlsX9ecAKk8pPL4J5CcnMx+/V6lorhoswVy+PBRjIuL02weNWm1BvGllwbxs88+46ef\nfpqh2mB22LFjBwMDI7RZwPcEvqHJVII1atRjnz4DUt1XT5w4wR07dmR5U//73/+mzea79n+MJpPC\nunWbUFFcjIy8j0uXLuWVK1d47tw5rlmzhps3b+aJEyeYmJh4Sxl/++03FisWToejNR2OuqxevR6v\nXLlCUnj22O3VKGwtNejvIj2dwiNoNxXF5eeG6vF4ePnyZXo8Hvbq1Y82Ww0ajUNos1Xlyy9nrMVy\n/PhxGgwOprkZzyPg4scfZ4xQ37NnD0ePHsMpU6b4Xa8xY8bSbO7lI98XrFz5QZLkt99+S7u9hs+T\nfQLNZkeG633kyBGGhZWj0/kw7faarFXrIV65coUrV65ky5ZttZnfEa2PeSxfvhZ37tzJxo2b0mQq\nTeAHimJVpbl69Wq+8sor2kzQd/YZzrJlq2XIMnD9+nXGxMRw9uzZfvaK1q0fJ/CQj3L4nkajK/X7\npKQk3ndfXapqSxqNQ6iqoVy8eIlf3ytWrKCqhhJ4h2ZzT4aHl88XBQKpPKTy+Cdz+fJlxsXFcc2a\nNXQ4gmm3d6Dd3oDVq9fLMq3IrXjggaYEvvIZQBawTZvOOepjzpw5VNVuPn1cTs2ou3r1V1TVQNrt\nZamqgfzqq5wHg505c4YrVqzgunXr/PJlbd26VUtD4iFQj2n2IFIkihQ5r0wmZ5YpNH755Rf279+f\nzz77LL/88kt6PB6uXr2awcFlaLHY2aRJW37++eeaC66vrSSYTz7pf502bNhAVS1Ovf51WizdGBpa\nlqdOneL27du5cuVKhoeXp9X6NI3GQTSbizEoKIIuVxi7dOnNqKiHabV2IDCdqtqAPXq8kEHW1q2f\n9kmKmEKrtROjo5vTai1HkQesPYVNJ5EiRY6BihJMYc8IJuCi212Sc+YIp4p33nlX2z6Bwq32XQL2\nTLMaeElMTOR7773Pvn1f5meffcaoqLr0rQApPNPMGdrMnj2bEyZM4I4dOzL0WapUNW226PXM6sH3\n3sv7lCuQykMqDwkZFdWQIlrXu5zTnpMn5/yGi45uS5ETS9y4Ot0kdur0XI76OHbsmLYENovATirK\nE2zfvhvPnj2rlczdofX/A222oDuaJWXG+vXr6XCEUhjJbRTeRCMpPK6KE/iDwHwqijtT+0FMzDIq\nSnHabD2pKDVZp05DLemkt8zreZpM/Vi7diPq9cEUy1t76fXOstvD2KZNR44ZM56bNm2i2RxMoDRF\npuFEmky9WapUBdrtlel0PsygoAi+++677N+/Py2WQIrElkdotbZjp069OG7cBHbv3pczZszKdEms\nYsUHCGz3GahnU6ezUHiNeWcO0RRLm4toMBSj8GZ7hsKWtYhmcwAPHz5MkoyPj6fVWky7fk4C5Wkw\nNGdoaNlUd2Rfbty4wfvvf4RWazsCU6iqtdigQWMKW9lOCmeI51mixK3TyqdHpOr5k2m/weEcNuyd\nHPWRHSCVh1QeEmqGzn0+A8mkLCsY3orvvvtO880fTZ1uGG02t1/E8Lx5C1ihQm2WK3c/P/74kyyN\nuHv37uVDD7Vg2bJRfOmlV5mUlKTVTff3bnI6a+WqWJaXpUtjqKrhFDVMXqZwwV1Dke23nqZMggiE\ns3btRhnaX758mQaDjWnupDcIVKbJZNXSxnhlTiRgYJs2HSk8llyasj1P4bYaRpPpUer1dm3Q/oUi\nhuRZAuNpMJSn8PYi9foP+PDDLTly5Cjq9b51PI7Q5Qq77Tl3796XZvNzFM4BV6goj1CnMzLNZkEK\nj61Q2u3FtXTvZgpbhvjeZOrEOXPmpPa5efNm7TrO9tlnAAcPfjN1nwMHDrBevaa0293U66swbXnt\nLI1GhR06PEPhOWdgcHC5TG01t6J37wFUlNaast9ERQnJdIaSW1BElEcLiNrkfyBjDXMv07Tv4wFE\nadtKAtgC4DcAvwIYmEm7PL+okqLHU0/10AaSmwT+oqpW4fLlt68hkhm7d+/myy8P5quvvu4X5xAT\ns4yqGqk9IW+lqlbivHkLst3vyZMntSfbP7TB5n+0Wotlq/rdyZMnOXnyZI4ePYa//vorSX9FJp5W\nN/kMmi9ps44JFEkUTxPYT0V52K8uiReRfNFAX+81MeA3oU73INPW8H8i4GKJEhU4ZswYms21/JSh\nUFZvEvC1Z5wjYKPRWJz+Szq/MiysIqdOnUqrtZPP9i2ZDrpnz57lY4+1p9MZwnLlanH9+vWsW/dR\nWq3FaTa7+Mwzz/LRRx+n8G77naI2fSDNZhd37drFzp2fI2Bhmrech4rSlIsX+2exrVChDoU9xCvP\nDHbp0oekWHIKDy9Pvf49ipllY5/9kgkoqZmU4+PjOXnyZH7yySe8dOlStn8n165dY+/eA+h2l2bp\n0vdlms8tL0ARUB4GiBKzkQBMuH0d87pIq2MeCqCW9t4OUc42fdt8ubCSosXFixe13FiiVGtOPK2y\ny2OPPcW0LL8ksIr167fIUR8zZ86horjpckVTUdycPTvzIMb58xeyatX6rFatAadM+ZCBgSVoNveh\nwTCEqurm6NFjNEX2DYXhuhSB0T6yjSTwNIH/o8FQnHq9yNzbp8+ATHM2iZnb/Vq7FE1JBGt92wk0\noMjbFUpgMZ3O2ly0aJEWLOeNVTlHsVT2HoEWPrL8Rp1OZe/efaiqdSlmN40JBDEoqCz37dvHUqUq\n02J5hjrdUAJOKkppWq3F/FJ11KvXVEuueJzAStpsxXno0CGeOHGCZ86cSQ2UNBqFe7JOF0STycn3\n3vuQpEhkWLNmPQpPtPdpNHZm+fI1Uh0OvLz66lAtOPQMgf9RVSvxP//5nKSoN6KqVVJnGsJ9+l8U\nWQFeoE4XyWHD3tVckYvTZBpERenA0qWrpBbgKiygCCiP+gD+z+fzUO3ly0wAz/h83g8gJJO+VgFo\nkm5bQf8PJIWIvK4X4UuHDj0olmbS1tibNWt/+4bpOHToEDdu3JilIXbx4v9QVcsQ+JrABhqNgdTr\nB/sc9990uSIzKDKdLoJAHIFVNJkCGRxcmhERFTlt2r+YnJx8y0R/NWo8pA2C9xHQUyR3XEqdbghd\nrnDtiV3Rtg+nqpZjXFwcu3V7njZblKZYyhDoRb1+GPV6pxZz8h5VtQynTZvOdevWUVHcFEs6HxI4\nQINhGMPDK7B8+Sg6HG4aDAqFsZsUM8gI/vjjj0xKSqLBYKbvzMhu75QaIEkKxWyzVdcG8n20Wmtw\nxIiMDxErV67kiy8O5Jgx4zKdEVy/fp09erxAi8VBmy2IEya8x8TERP78889ctGiRpiC9S19x2jUJ\nJFCHwFj27fsyy5ePolg2FLKazd04aVLWOd0KAhQB5fEUgDk+n7sB+DjdPl8BaODzeROA2un2iQRw\nBGIG4ktB/w8k/xD27NmjrZu/S2AMVdXN77//Ps+P06jR4wRifBRDMwpXW+/n72m3l0inyOYwMrIG\nIyNrsHLlBxgcHEmHozEdjscYHBzJI0eO3PKY27dvp83mpqo+S6OxEgEzrdbiWoDiKIrlL29a+Gos\nU6YaU1JS6PF4uHz5cr7zzjt85JGmLFOmJps3b8/4+HiOGjWG/foN4po1a7h//37NlvQ+RQyErzus\nm8BMCiOzyec70m7vwoULFzI5OZlms0rgML3eVXZ7PX755Zep5/Doo+3SXbcvc1VVcNeuXVyyZAlj\nYmIYFFSSDkcVLR9ZBIEoikj8ugSeo1gyfJCqWoZfffUV3e5IpiXBJIHRfO21N29/0LsI8kB5GHPb\nwW3IroC6W7SzA1gO4BUAV9I3HDlyZOr76OhoREdH50hAiSQ71KpVCzt3xmL27AVISfGgd++vERUV\ndfuGOcRqtQC44LOlDAyGsUhJeRBAAFR1KJ555nF8/vl4XL16EYAJqvoRFi/+Eg0aNEC/fq9i7txk\n3LwpntESE0dh0KBhWLny31kes379+vj5553YuHEjbLYmaNy4MTp16o1t25oDGKztFQLgPwDGIixs\nFvR6PQCgQ4cO6NChQ4Y+a9Sokfp+1qxZANoCiAYwA8ANAGYACQCuAWgHIBiAG2IFuxWAk0hJ+RYV\nKvSHwWDAuHHjMGJEYyQmdoWq7kLlyha0bNky9RhBQS7odAdBbeTQ6Q4gKMiVQa6EhAScP38eERER\nMBozH/5GjBiH99+fCYOhPq5c2QDyIwDPAjgDoCYAPYC1APoD6ArgYxiNBzBx4mi0adMGrVuvxdKl\nb+LatRkAjkFVZ6NVq0VZXv+7QWxsLGJjYwtUhpxSD/7LVm8ho9F8JoBOPp99l61MADYAGJRF/wWt\nwCWSPGX79u3aU/pEAuNptQawQ4eOdLsjWaxYBF955Q3evHmTv/76KwcOHML+/V/lTz/9lNq+efOn\nCPzH56l3I6OionMkw8mTJ7Ugu4V+S2PAY9TpJrFdu6456i8mJoZ2+8MUDg1PEmhEYBzN5urU6+/z\nOcZM6nQ2LauuQoPBSaczWKtH8g6bNGnOdu2e5PDhw7l69Wq/ZJv79++n0xlMk6kfjcYBtNuLpzoX\nePngg49oNtupqiUYGlqWv//+O+Pj47lmzRoePXqUJHnw4EFarW6K1Psp2jLezVQZdboeNBoraDOx\ntjSZutHhCPY7VmJiIjt1eo6qGki3uxTnz1+Yo+t1N0ARWLYyAjgAsexkxu0N5vWQZjDXAVgEYOot\n+i/o/4FEkufExcWxT5/+rFmzPi2WELpczaiqbn7xxe09b0QKlUco4jCSqChtOXjwWzk6vkjKWI/C\nEL+BwsOsFA2GRnQ6Q3KcOvz69eusXbshbbamNBgG02x2sXnzVpw5cyZDQsrQZOpDYAJVtQTff3+K\nFg/zdaryE/aWSIqqe0HU6Zx0OqNps7m5YcOG1OMcPnyYEydO5IQJE3jgwAE/GXbs2EFVjaA36lyn\nm0mXK4KqWoIu12NUVTdXrfqS3333HV2uuppd423tmO0oAv4u0GaryEGDBnHYsGF84403OH369FTF\nU5RAEVAeANASwlPqT4iZBwC8oL28/Ev7Ph7A/dq2hwF4IBTOHu3VIl3fBf0/kEjyhd27d2uDnTdl\n+o9U1YAs05lv27aNjzzSiiVKVKRO59TsByZWqVInx8WUVq5cSbu9IUW9iXoU6U4MnDRpEo8ePco5\nc+bR6Qym0Whlq1YdmZCQcNs+r127xnnz5nH8+PGpWWoPHz7MWbNmsVu37hww4FVu2rSJP/74I53O\n9C7AoQQ6URjMkymix98g8C2dzuLZSpo4c+ZMqmpvnz63a/YWbxnZnVTVYjx9+rRm26pLoCNFFuFn\nqNe7abUGc8CA13J0LQsrKCLKIz8p6P+BRJIvLF++nE7nE36DqNUalGmJ2Pj4eG2p62OKmhx/UgT0\n/ZdWa1BqFHV2SUxMZKVK99Ni6UJgGlW1Rmrt+S1btmhK7WcCCbRYurFDh+45Pr9vvvmGNpubDkdH\n2u01+eijjzM5OZnHjx/X4mGOaed9nMKbabWfMRxoRcBDo1HJlvLasGEDbbYqBC5rfbxN4YyQdn0t\nlgD+/fffmldVoM9yVQoVpQJXrFiR4/MsrKAIGMwlknznr7/+QkxMDFJSUtChQwdERkYWtEi5pnr1\n6rh5czuECbAygBWw2RScPn0a27ZtQ6VKlVC9enUAwJIlS5GY+CKAhhCxteW0XirCYqmAY8eOoXTp\n0pke5+bNmzCZTH7bFEVBXFwspk79CIcP70OTJm+gS5cuAIBNm75BYuJzAMSxr18fh82b6+f4/Lp1\newFXr/4bYjHhMmJjq8FsDoDZrKBRo/r47rsHYTDUw40b23HjRjLILwC0gRjzlgOoCGAJdDoL5s5d\niEGDBkCnS+93k0azZs3QsWM0YmKqwWSqiBs3dsHjMeL69f8CqARgMXQ6I8qWrQaDwQSTCbh509uf\nDkajGRERETk+T0nhpaAVuKSAOXDgAAMCwmix9KbZ/CIdjuDU9NtFnQULPqXV6qSqRjAwsAQHDhxM\nVQ2l09mOqhrGiRM/IEkOH/4u9fohmp2juGYnEEszNpubZ86cydD3pk2bGBhYgjqdnpGR1fyi6bPi\n0KFDfPHFF2k2N2Na1PlalilT45btLl26xBYtOtBotNLlCuWCBZ9qrrfekrYvaDOJowS2EXBx9OjR\njImJYXx8PJcsWUKzOYg6XSkaDKUpAhcDKQIZp1NVa3Ls2MzjKP744w8OHTqMQ4a8yT179nD37t1c\nt24dT548yXnzFtJicVBVw2m1ivTrQoafqNeH0miMJrCWZvMLrFr1gRyVUC7sQC5bSeXxT6dbt+ep\n13uzq5I63Yds2bJjQYuVZ1y5coUHDx7k4cOHabEEMC3N+HFarYE8evQoDxw4QIcjmHr9KAKv3c3W\nQQAAD0pJREFUEVBpNhenzRbItWvXZujzxIkT2jLXJgqPoulUFPctB8dFiz6jorjpdDahTueiyVSN\nVuuLVFU3N27ceMtzaNu2My2Wnpqy2ENVDWe1anVpMAyjN/W5KLPrXUIazlq1HvTr48aNG4yLi+Ou\nXbv4yiuDKVKdeOu7/8SwsIrcsmULv/zyy1Rl+fvvv9NuL069/g2KQltuv6qApAgsPXLkCEuXrs60\n3F4k8CGrVq3DunWbs0+fAXmWwLKwgDxQHvo8GMAlkgLjzJkL8Hgqpn4mK+Ls2Qu3aFG0sNlsKFOm\nDM6ePQuLpTSAUto3JWA2l8GJEydQtmxZ7Nr1HXr2PIUnnzyNzz9fgD//3I1z5/5Cq1atMvS5Z88e\n3LxZBSJhgx5APyQleTBx4uRMZbh06RL69u2PpKRYJCRsAvkbgJN4/fXi2LVrK5o2bXrLc9iyZROu\nXx8PwAmgFq5d64nHHnsYVatuhtFoA3AZwEGfFn/AZDL49WEymVCnTh3Url0bDocder0K4ckPAFdw\n7tx5PP74y+jefQYqVKiBvXv3Yvz4qbh69RV4PJMAjEJi4nt4++0Jfv2qqopSpUohMDAQIr2ewGj8\nH0wmPQ4c+B82b96KrVu33vIcJUWPglbgkgJm9uy5VNXqFDUYDlJV63LChPcLWqw85+LFi3Q4ijPN\nhXUz7Xb3HT0Rx8XFUacL8TEeHyKg8qmnMjd879u3j3Z7eT/jssvViJs2bcrW8UqWrOIjt4eK0pbT\np4viUQkJCXzppX4UadBfI/AUdTq732zm22+/5RtvvMVJkybx/Pnz/PPPP+lwBFOnG0dgLo1GJw2G\nqppxnQQW8r776vOJJ7pSFKvyyv053e4ybNXqGU6Z8pFfqvetW7dSVd00GgfRau1GqzWIVmsT7Xe1\nkYoSnC/ZbQsKyGUrqTz+6Xg8Ho4aNZ4uVygdjmAOGfJWjkqiFiViY2PpdAbTag2iw1GcmzdvvqN+\nPB4Pw8IqEShHkV6jBI3G2hw5ckym+1+9elVTXF5byk9U1SAeP348W8dbv349FcVNi+Ul2mzNWaVK\nnQzFukaMGMmIiPIsX/4+v9rzixcvoaqGERhJs7k7IyIq8sKFC9y3bx87d+5FpzOCBsN9FMkYQwjs\nIXCYxYqV4IoVK7UEkt8SiKVO56LB0I/AZ1TVh1Lrv58/f54jRoxix45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viiike2lPupf2pHuprtASh7vvN7PLgDuAXuBb7v6omS0Jj68AbicI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\n4BARkVwUOEREJBcFDhERyUWBQ0REcvn/LoeoUWOZMN0AAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fdb2d810250>"
+       "<matplotlib.figure.Figure at 0x7f2694d08150>"
       ]
      },
      "metadata": {},
@@ -2346,7 +2155,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 37,
    "metadata": {
     "collapsed": false
    },
@@ -2354,18 +2163,18 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7fdb2d555390>"
+       "<matplotlib.legend.Legend at 0x7f2694ac1fd0>"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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DlnoznkkeyJPJ/qpSks3oorJstUPi00rHX03uFWEkUtbX3oa7Sn7FgYX/j5ML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\nSUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fdb2d555bd0>"
+       "<matplotlib.figure.Figure at 0x7f2694be5190>"
       ]
      },
      "metadata": {},
@@ -2376,29 +2185,29 @@
     "# Plot a histogram and kernel density estimate for the scattering rates\n",
     "scatter['mean'].plot(kind='hist', bins=25)\n",
     "scatter['mean'].plot(kind='kde')\n",
-    "pylab.title('Scattering Rates')\n",
-    "pylab.xlabel('Mean')\n",
-    "pylab.legend(['KDE', 'Histogram'])"
+    "plt.title('Scattering Rates')\n",
+    "plt.xlabel('Mean')\n",
+    "plt.legend(['KDE', 'Histogram'])"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.6"
+   "pygments_lexer": "ipython3",
+   "version": "3.5.1"
   }
  },
  "nbformat": 4,
diff --git a/docs/source/pythonapi/examples/post-processing.ipynb b/docs/source/pythonapi/examples/post-processing.ipynb
index 6e2dd94299..de92c2bcbf 100644
--- a/docs/source/pythonapi/examples/post-processing.ipynb
+++ b/docs/source/pythonapi/examples/post-processing.ipynb
@@ -15,14 +15,12 @@
    },
    "outputs": [],
    "source": [
+    "%matplotlib inline\n",
     "from IPython.display import Image\n",
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "import openmc\n",
-    "from openmc.statepoint import StatePoint\n",
-    "\n",
-    "%matplotlib inline"
+    "import openmc"
    ]
   },
   {
@@ -106,11 +104,8 @@
    },
    "outputs": [],
    "source": [
-    "# Instantiate a MaterialsFile, add Materials\n",
-    "materials_file = openmc.MaterialsFile()\n",
-    "materials_file.add_material(fuel)\n",
-    "materials_file.add_material(water)\n",
-    "materials_file.add_material(zircaloy)\n",
+    "# Instantiate a Materials collection\n",
+    "materials_file = openmc.Materials((fuel, water, zircaloy))\n",
     "materials_file.default_xs = '71c'\n",
     "\n",
     "# Export to \"materials.xml\"\n",
@@ -238,12 +233,8 @@
    },
    "outputs": [],
    "source": [
-    "# Instantiate a GeometryFile\n",
-    "geometry_file = openmc.GeometryFile()\n",
-    "geometry_file.geometry = geometry\n",
-    "\n",
     "# Export to \"geometry.xml\"\n",
-    "geometry_file.export_to_xml()"
+    "geometry.export_to_xml()"
    ]
   },
   {
@@ -266,13 +257,16 @@
     "inactive = 10\n",
     "particles = 5000\n",
     "\n",
-    "# Instantiate a SettingsFile\n",
-    "settings_file = openmc.SettingsFile()\n",
+    "# Instantiate a Settings object\n",
+    "settings_file = openmc.Settings()\n",
     "settings_file.batches = batches\n",
     "settings_file.inactive = inactive\n",
     "settings_file.particles = particles\n",
-    "source_bounds = [-0.63, -0.63, -0.63, 0.63, 0.63, 0.63]\n",
-    "settings_file.set_source_space('box', source_bounds)\n",
+    "\n",
+    "# Create an initial uniform spatial source distribution over fissionable zones\n",
+    "bounds = [-0.63, -0.63, -0.63, 0.63, 0.63, 0.63]\n",
+    "uniform_dist = openmc.stats.Box(bounds[:3], bounds[3:], only_fissionable=True)\n",
+    "settings_file.source = openmc.source.Source(space=uniform_dist)\n",
     "\n",
     "# Export to \"settings.xml\"\n",
     "settings_file.export_to_xml()"
@@ -301,9 +295,8 @@
     "plot.pixels = [250, 250]\n",
     "plot.color = 'mat'\n",
     "\n",
-    "# Instantiate a PlotsFile, add Plot, and export to \"plots.xml\"\n",
-    "plot_file = openmc.PlotsFile()\n",
-    "plot_file.add_plot(plot)\n",
+    "# Instantiate a Plots collection and export to \"plots.xml\"\n",
+    "plot_file = openmc.Plots([plot])\n",
     "plot_file.export_to_xml()"
    ]
   },
@@ -334,8 +327,7 @@
    ],
    "source": [
     "# Run openmc in plotting mode\n",
-    "executor = openmc.Executor()\n",
-    "executor.plot_geometry(output=False)"
+    "openmc.plot_geometry(output=False)"
    ]
   },
   {
@@ -347,7 +339,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPoAAAD6AgMAAAD1grKuAAAABGdBTUEAALGPC/xhBQAAAAFzUkdC\nAK7OHOkAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAAAAxQTFRF\n////chIS6YCRTb/E6kGE+wAAAAFiS0dEAIgFHUgAAAAJcEhZcwAAAEgAAABIAEbJaz4AAALKSURB\nVGje7dpLcqQwDAbgHHE2YeEj+D4cwQucBUfo+3CEXoSp8OhuhF70T4qpKXmdr21LogK2Pj7A8QmN\nP+HDhw8fPnz48Kf6VH9G+66vy+je8k19jnf8C5dXIPv86ms56lPdjvaYbyodx3ze+XLE76cXFiD4\nzPji99z0/AJ4n1lfvJ6fnl0A6x+578efMSg1wPr172/jPO5yFXM+Ef78gdblM+WPHyguP//t1/g6\npA0wfln+ho/fwgYYn19C/xwDvwHGc9OvC+hs37DTrwuwfWanXxdQTC9Mvyygs3wjTL8uwPJpn/tN\nDbSGz7T0SBEWw4vLXzbQ6b6RoveIoO6TvPxlA63qs7z8ZQPF9F+SH22vbX8OQKf5Rtv+EgDNJ3X5\n8wZaxWd1+fMGiuFvir8bvjp8J/tGy/6jAmRvhW8fwL3vVT+o3grfPoB7r/IpALI3tz8FoJN84/NV\n873hB8UnM3xzANtf8nb4dwmg3grfFEDJO8JPE0i9Ff4pAYL3pI8mkHor/HMCeO9JH00g9SafEsh7\nT/ppARBvp48UwJnelT5SACd7O31TAlnvKx9SQCd7B58KgPO+8iMFuPWe9E8F8BveWX7bAjzX9y4/\n/Jve+fhsH6Ctv7n8PTzjvY/v9gEOHz58+PBX+6v/f/wPvnd54f3j6venE/yl769Xv7+j3x/o98/V\n32/o9+fl389Xnx+g5x/o+Qt6/oOeP6HnX+j5G3z+h54/ouefV5/foufP6Pk3ev4On/+j9w/o/Qd6\n/4Le/6D3T/D9V67Y/ZsVQBq+s+8f0ftP+P41axXguP9NWgDuu/Cdfv+N3r/D9/9TAID+A7T/Ae2/\ngPs/0P4TtP8F7r9J3AIO9P+g/Udw/9Oygbf7r9D+L7j/DO1/Q/vv4P4/tP8Q7n9E+y/h/k+0/xTu\nf4X7b+H+X7T/+BPuf3aM8OHDhw8fPnz4w/4vzcvgeY10sY0AAAAldEVYdGRhdGU6Y3JlYXRlADIw\nMTUtMTEtMjlUMTY6NDY6NTMtMDU6MDCSkLewAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDE1LTExLTI5\nVDE2OjQ2OjUzLTA1OjAw480PDAAAAABJRU5ErkJggg==\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPoAAAD6AgMAAAD1grKuAAAABGdBTUEAALGPC/xhBQAAACBjSFJN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\n1kHjAQAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -380,8 +372,8 @@
    },
    "outputs": [],
    "source": [
-    "# Instantiate an empty TalliesFile\n",
-    "tallies_file = openmc.TalliesFile()"
+    "# Instantiate an empty Tallies object\n",
+    "tallies_file = openmc.Tallies()"
    ]
   },
   {
@@ -397,18 +389,16 @@
     "mesh.dimension = [100, 100]\n",
     "mesh.lower_left = [-0.63, -0.63]\n",
     "mesh.upper_right = [0.63, 0.63]\n",
-    "tallies_file.add_mesh(mesh)\n",
     "\n",
     "# Create mesh filter for tally\n",
-    "mesh_filter = openmc.Filter(type='mesh', bins=[1])\n",
+    "mesh_filter = openmc.Filter(type='mesh')\n",
     "mesh_filter.mesh = mesh\n",
     "\n",
     "# Create mesh tally to score flux and fission rate\n",
     "tally = openmc.Tally(name='flux')\n",
-    "tally.add_filter(mesh_filter)\n",
-    "tally.add_score('flux')\n",
-    "tally.add_score('fission')\n",
-    "tallies_file.add_tally(tally)"
+    "tally.filters = [mesh_filter]\n",
+    "tally.scores = ['flux', 'fission']\n",
+    "tallies_file.append(tally)"
    ]
   },
   {
@@ -455,12 +445,11 @@
       "                  888\n",
       "                  888\n",
       "\n",
-      "      Copyright:      2011-2015 Massachusetts Institute of Technology\n",
-      "      License:        http://mit-crpg.github.io/openmc/license.html\n",
-      "      Version:        0.7.0\n",
-      "      Git SHA1:       c4b14a5ef87f004528d35cbf33fef3ed15a386ca\n",
-      "      Date/Time:      2015-11-29 16:46:53\n",
-      "      MPI Processes:  1\n",
+      "      Copyright:      2011-2016 Massachusetts Institute of Technology\n",
+      "      License:        http://openmc.readthedocs.org/en/latest/license.html\n",
+      "      Version:        0.7.1\n",
+      "      Git SHA1:       df280b60eb1c6d7b7f842e05ede734a4883a0fc8\n",
+      "      Date/Time:      2016-05-05 14:41:55\n",
       "\n",
       " ===========================================================================\n",
       " ========================>     INITIALIZATION     <=========================\n",
@@ -487,106 +476,106 @@
       "\n",
       "  Bat./Gen.      k            Average k         \n",
       "  =========   ========   ====================   \n",
-      "        1/1    1.04894                       \n",
-      "        2/1    1.01711                       \n",
-      "        3/1    1.05357                       \n",
-      "        4/1    1.03052                       \n",
-      "        5/1    1.06523                       \n",
-      "        6/1    1.06806                       \n",
-      "        7/1    1.05161                       \n",
-      "        8/1    1.04199                       \n",
-      "        9/1    1.05010                       \n",
-      "       10/1    1.04617                       \n",
-      "       11/1    1.04894                       \n",
-      "       12/1    1.06806    1.05850 +/- 0.00956\n",
-      "       13/1    1.05002    1.05567 +/- 0.00620\n",
-      "       14/1    1.03471    1.05043 +/- 0.00683\n",
-      "       15/1    1.01803    1.04395 +/- 0.00837\n",
-      "       16/1    1.05588    1.04594 +/- 0.00712\n",
-      "       17/1    1.07503    1.05010 +/- 0.00731\n",
-      "       18/1    1.02786    1.04732 +/- 0.00691\n",
-      "       19/1    1.00071    1.04214 +/- 0.00800\n",
-      "       20/1    1.05587    1.04351 +/- 0.00729\n",
-      "       21/1    1.03886    1.04309 +/- 0.00660\n",
-      "       22/1    1.04335    1.04311 +/- 0.00603\n",
-      "       23/1    1.04057    1.04292 +/- 0.00555\n",
-      "       24/1    1.01976    1.04126 +/- 0.00540\n",
-      "       25/1    1.05811    1.04238 +/- 0.00515\n",
-      "       26/1    1.02351    1.04120 +/- 0.00496\n",
-      "       27/1    1.05261    1.04188 +/- 0.00471\n",
-      "       28/1    1.03355    1.04141 +/- 0.00446\n",
-      "       29/1    1.02797    1.04071 +/- 0.00428\n",
-      "       30/1    1.03758    1.04055 +/- 0.00406\n",
-      "       31/1    1.04883    1.04094 +/- 0.00388\n",
-      "       32/1    1.03557    1.04070 +/- 0.00371\n",
-      "       33/1    1.02947    1.04021 +/- 0.00358\n",
-      "       34/1    1.03651    1.04006 +/- 0.00343\n",
-      "       35/1    1.03331    1.03979 +/- 0.00330\n",
-      "       36/1    1.05947    1.04054 +/- 0.00326\n",
-      "       37/1    1.05093    1.04093 +/- 0.00316\n",
-      "       38/1    1.06787    1.04189 +/- 0.00319\n",
-      "       39/1    1.01451    1.04095 +/- 0.00322\n",
-      "       40/1    1.02351    1.04037 +/- 0.00317\n",
-      "       41/1    1.04826    1.04062 +/- 0.00307\n",
-      "       42/1    1.04228    1.04067 +/- 0.00298\n",
-      "       43/1    1.03214    1.04041 +/- 0.00290\n",
-      "       44/1    1.04950    1.04068 +/- 0.00282\n",
-      "       45/1    1.06616    1.04141 +/- 0.00284\n",
-      "       46/1    1.07039    1.04221 +/- 0.00287\n",
-      "       47/1    1.00292    1.04115 +/- 0.00299\n",
-      "       48/1    1.04477    1.04125 +/- 0.00291\n",
-      "       49/1    1.03360    1.04105 +/- 0.00284\n",
-      "       50/1    1.04783    1.04122 +/- 0.00277\n",
-      "       51/1    1.03985    1.04119 +/- 0.00271\n",
-      "       52/1    1.02507    1.04080 +/- 0.00267\n",
-      "       53/1    1.03477    1.04066 +/- 0.00261\n",
-      "       54/1    1.00412    1.03983 +/- 0.00268\n",
-      "       55/1    1.02239    1.03945 +/- 0.00265\n",
-      "       56/1    1.04308    1.03952 +/- 0.00259\n",
-      "       57/1    1.05534    1.03986 +/- 0.00256\n",
-      "       58/1    1.06667    1.04042 +/- 0.00257\n",
-      "       59/1    1.06458    1.04091 +/- 0.00256\n",
-      "       60/1    1.00304    1.04015 +/- 0.00262\n",
-      "       61/1    1.05038    1.04036 +/- 0.00258\n",
-      "       62/1    1.02904    1.04014 +/- 0.00254\n",
-      "       63/1    1.00249    1.03943 +/- 0.00259\n",
-      "       64/1    1.01779    1.03903 +/- 0.00257\n",
-      "       65/1    1.05335    1.03929 +/- 0.00254\n",
-      "       66/1    1.06231    1.03970 +/- 0.00253\n",
-      "       67/1    1.02382    1.03942 +/- 0.00250\n",
-      "       68/1    1.03796    1.03939 +/- 0.00245\n",
-      "       69/1    1.03672    1.03935 +/- 0.00241\n",
-      "       70/1    1.02926    1.03918 +/- 0.00238\n",
-      "       71/1    1.05834    1.03950 +/- 0.00236\n",
-      "       72/1    1.04332    1.03956 +/- 0.00232\n",
-      "       73/1    1.05613    1.03982 +/- 0.00230\n",
-      "       74/1    1.01963    1.03950 +/- 0.00228\n",
-      "       75/1    1.02228    1.03924 +/- 0.00226\n",
-      "       76/1    1.04842    1.03938 +/- 0.00223\n",
-      "       77/1    1.02157    1.03911 +/- 0.00222\n",
-      "       78/1    1.02810    1.03895 +/- 0.00219\n",
-      "       79/1    1.05030    1.03912 +/- 0.00216\n",
-      "       80/1    1.02391    1.03890 +/- 0.00214\n",
-      "       81/1    1.02488    1.03870 +/- 0.00212\n",
-      "       82/1    1.04957    1.03885 +/- 0.00210\n",
-      "       83/1    1.03499    1.03880 +/- 0.00207\n",
-      "       84/1    1.05922    1.03907 +/- 0.00206\n",
-      "       85/1    1.05898    1.03934 +/- 0.00205\n",
-      "       86/1    1.02242    1.03912 +/- 0.00204\n",
-      "       87/1    1.03278    1.03904 +/- 0.00201\n",
-      "       88/1    1.06134    1.03932 +/- 0.00201\n",
-      "       89/1    1.04521    1.03940 +/- 0.00198\n",
-      "       90/1    1.04277    1.03944 +/- 0.00196\n",
-      "       91/1    1.04214    1.03947 +/- 0.00193\n",
-      "       92/1    1.05610    1.03967 +/- 0.00192\n",
-      "       93/1    1.04531    1.03974 +/- 0.00190\n",
-      "       94/1    1.01534    1.03945 +/- 0.00190\n",
-      "       95/1    1.03971    1.03945 +/- 0.00187\n",
-      "       96/1    1.07183    1.03983 +/- 0.00189\n",
-      "       97/1    1.07214    1.04020 +/- 0.00191\n",
-      "       98/1    1.03710    1.04017 +/- 0.00188\n",
-      "       99/1    1.02532    1.04000 +/- 0.00187\n",
-      "      100/1    1.03965    1.04000 +/- 0.00185\n",
+      "        1/1    1.04359                       \n",
+      "        2/1    1.04244                       \n",
+      "        3/1    1.03020                       \n",
+      "        4/1    1.03630                       \n",
+      "        5/1    1.06478                       \n",
+      "        6/1    1.05450                       \n",
+      "        7/1    1.02369                       \n",
+      "        8/1    1.03614                       \n",
+      "        9/1    1.05193                       \n",
+      "       10/1    1.02886                       \n",
+      "       11/1    1.05011                       \n",
+      "       12/1    1.04597    1.04804 +/- 0.00207\n",
+      "       13/1    1.07035    1.05548 +/- 0.00753\n",
+      "       14/1    1.06150    1.05698 +/- 0.00554\n",
+      "       15/1    1.07094    1.05977 +/- 0.00512\n",
+      "       16/1    1.05131    1.05836 +/- 0.00441\n",
+      "       17/1    1.04733    1.05679 +/- 0.00405\n",
+      "       18/1    1.08130    1.05985 +/- 0.00465\n",
+      "       19/1    1.02559    1.05605 +/- 0.00560\n",
+      "       20/1    1.03399    1.05384 +/- 0.00547\n",
+      "       21/1    1.04617    1.05314 +/- 0.00500\n",
+      "       22/1    1.06981    1.05453 +/- 0.00477\n",
+      "       23/1    1.05270    1.05439 +/- 0.00439\n",
+      "       24/1    1.02487    1.05228 +/- 0.00458\n",
+      "       25/1    1.05905    1.05273 +/- 0.00429\n",
+      "       26/1    1.07658    1.05422 +/- 0.00428\n",
+      "       27/1    1.03455    1.05307 +/- 0.00418\n",
+      "       28/1    1.00971    1.05066 +/- 0.00462\n",
+      "       29/1    1.06111    1.05121 +/- 0.00440\n",
+      "       30/1    1.01777    1.04954 +/- 0.00450\n",
+      "       31/1    1.04718    1.04942 +/- 0.00428\n",
+      "       32/1    1.03340    1.04870 +/- 0.00415\n",
+      "       33/1    1.04570    1.04857 +/- 0.00397\n",
+      "       34/1    1.02728    1.04768 +/- 0.00390\n",
+      "       35/1    1.02852    1.04691 +/- 0.00382\n",
+      "       36/1    1.03242    1.04636 +/- 0.00371\n",
+      "       37/1    1.01479    1.04519 +/- 0.00376\n",
+      "       38/1    1.06045    1.04573 +/- 0.00366\n",
+      "       39/1    1.03810    1.04547 +/- 0.00354\n",
+      "       40/1    1.05281    1.04571 +/- 0.00343\n",
+      "       41/1    1.03941    1.04551 +/- 0.00332\n",
+      "       42/1    1.04049    1.04535 +/- 0.00322\n",
+      "       43/1    1.04586    1.04537 +/- 0.00312\n",
+      "       44/1    1.05437    1.04563 +/- 0.00304\n",
+      "       45/1    1.03445    1.04531 +/- 0.00297\n",
+      "       46/1    1.05104    1.04547 +/- 0.00289\n",
+      "       47/1    1.00773    1.04445 +/- 0.00299\n",
+      "       48/1    1.06879    1.04509 +/- 0.00298\n",
+      "       49/1    1.06625    1.04564 +/- 0.00295\n",
+      "       50/1    1.02641    1.04515 +/- 0.00292\n",
+      "       51/1    1.05701    1.04544 +/- 0.00286\n",
+      "       52/1    1.02868    1.04504 +/- 0.00282\n",
+      "       53/1    1.04592    1.04506 +/- 0.00275\n",
+      "       54/1    1.05757    1.04535 +/- 0.00271\n",
+      "       55/1    1.02329    1.04486 +/- 0.00269\n",
+      "       56/1    1.04116    1.04478 +/- 0.00263\n",
+      "       57/1    1.01990    1.04425 +/- 0.00263\n",
+      "       58/1    1.06202    1.04462 +/- 0.00260\n",
+      "       59/1    1.03550    1.04443 +/- 0.00255\n",
+      "       60/1    1.01383    1.04382 +/- 0.00258\n",
+      "       61/1    1.04111    1.04377 +/- 0.00253\n",
+      "       62/1    1.02061    1.04332 +/- 0.00252\n",
+      "       63/1    1.00456    1.04259 +/- 0.00257\n",
+      "       64/1    1.02277    1.04222 +/- 0.00255\n",
+      "       65/1    1.04544    1.04228 +/- 0.00251\n",
+      "       66/1    1.04487    1.04233 +/- 0.00246\n",
+      "       67/1    1.02699    1.04206 +/- 0.00243\n",
+      "       68/1    1.06160    1.04240 +/- 0.00241\n",
+      "       69/1    1.02989    1.04218 +/- 0.00238\n",
+      "       70/1    1.03107    1.04200 +/- 0.00235\n",
+      "       71/1    1.06571    1.04239 +/- 0.00234\n",
+      "       72/1    1.03444    1.04226 +/- 0.00231\n",
+      "       73/1    1.05059    1.04239 +/- 0.00228\n",
+      "       74/1    1.03352    1.04225 +/- 0.00224\n",
+      "       75/1    1.03707    1.04217 +/- 0.00221\n",
+      "       76/1    1.02994    1.04199 +/- 0.00219\n",
+      "       77/1    1.05416    1.04217 +/- 0.00216\n",
+      "       78/1    1.03794    1.04211 +/- 0.00213\n",
+      "       79/1    1.04652    1.04217 +/- 0.00210\n",
+      "       80/1    1.05715    1.04239 +/- 0.00208\n",
+      "       81/1    1.08146    1.04294 +/- 0.00212\n",
+      "       82/1    1.02159    1.04264 +/- 0.00211\n",
+      "       83/1    1.01968    1.04233 +/- 0.00211\n",
+      "       84/1    1.05577    1.04251 +/- 0.00209\n",
+      "       85/1    1.07808    1.04298 +/- 0.00211\n",
+      "       86/1    1.03943    1.04293 +/- 0.00209\n",
+      "       87/1    1.03431    1.04282 +/- 0.00206\n",
+      "       88/1    1.02414    1.04258 +/- 0.00205\n",
+      "       89/1    1.02316    1.04234 +/- 0.00204\n",
+      "       90/1    1.03342    1.04223 +/- 0.00202\n",
+      "       91/1    1.02781    1.04205 +/- 0.00200\n",
+      "       92/1    1.01293    1.04169 +/- 0.00201\n",
+      "       93/1    1.04347    1.04171 +/- 0.00198\n",
+      "       94/1    1.05357    1.04186 +/- 0.00196\n",
+      "       95/1    1.04740    1.04192 +/- 0.00194\n",
+      "       96/1    1.05215    1.04204 +/- 0.00192\n",
+      "       97/1    1.06667    1.04232 +/- 0.00192\n",
+      "       98/1    1.04926    1.04240 +/- 0.00190\n",
+      "       99/1    1.05386    1.04253 +/- 0.00188\n",
+      "      100/1    1.05088    1.04262 +/- 0.00186\n",
       " Creating state point statepoint.100.h5...\n",
       "\n",
       " ===========================================================================\n",
@@ -596,27 +585,27 @@
       "\n",
       " =======================>     TIMING STATISTICS     <=======================\n",
       "\n",
-      " Total time for initialization     =  3.7900E-01 seconds\n",
-      "   Reading cross sections          =  8.7000E-02 seconds\n",
-      " Total time in simulation          =  2.2064E+02 seconds\n",
-      "   Time in transport only          =  2.2060E+02 seconds\n",
-      "   Time in inactive batches        =  8.7100E+00 seconds\n",
-      "   Time in active batches          =  2.1193E+02 seconds\n",
-      "   Time synchronizing fission bank =  1.4000E-02 seconds\n",
-      "     Sampling source sites         =  8.0000E-03 seconds\n",
-      "     SEND/RECV source sites        =  2.0000E-03 seconds\n",
-      "   Time accumulating tallies       =  1.3000E-02 seconds\n",
-      " Total time for finalization       =  1.6600E-01 seconds\n",
-      " Total time elapsed                =  2.2120E+02 seconds\n",
-      " Calculation Rate (inactive)       =  5740.53 neutrons/second\n",
-      " Calculation Rate (active)         =  2123.37 neutrons/second\n",
+      " Total time for initialization     =  4.4900E-01 seconds\n",
+      "   Reading cross sections          =  1.2100E-01 seconds\n",
+      " Total time in simulation          =  3.4132E+02 seconds\n",
+      "   Time in transport only          =  3.4128E+02 seconds\n",
+      "   Time in inactive batches        =  1.0748E+01 seconds\n",
+      "   Time in active batches          =  3.3057E+02 seconds\n",
+      "   Time synchronizing fission bank =  1.1000E-02 seconds\n",
+      "     Sampling source sites         =  1.1000E-02 seconds\n",
+      "     SEND/RECV source sites        =  0.0000E+00 seconds\n",
+      "   Time accumulating tallies       =  1.9000E-02 seconds\n",
+      " Total time for finalization       =  1.5600E-01 seconds\n",
+      " Total time elapsed                =  3.4196E+02 seconds\n",
+      " Calculation Rate (inactive)       =  4652.03 neutrons/second\n",
+      " Calculation Rate (active)         =  1361.27 neutrons/second\n",
       "\n",
       " ============================>     RESULTS     <============================\n",
       "\n",
-      " k-effective (Collision)     =  1.03912 +/-  0.00160\n",
-      " k-effective (Track-length)  =  1.04000 +/-  0.00185\n",
-      " k-effective (Absorption)    =  1.04240 +/-  0.00156\n",
-      " Combined k-effective        =  1.04078 +/-  0.00127\n",
+      " k-effective (Collision)     =  1.04214 +/-  0.00161\n",
+      " k-effective (Track-length)  =  1.04262 +/-  0.00186\n",
+      " k-effective (Absorption)    =  1.04338 +/-  0.00158\n",
+      " Combined k-effective        =  1.04278 +/-  0.00122\n",
       " Leakage Fraction            =  0.00000 +/-  0.00000\n",
       "\n"
      ]
@@ -634,7 +623,7 @@
    ],
    "source": [
     "# Run OpenMC!\n",
-    "executor.run_simulation()"
+    "openmc.run()"
    ]
   },
   {
@@ -661,7 +650,7 @@
    "outputs": [],
    "source": [
     "# Load the statepoint file\n",
-    "sp = StatePoint('statepoint.100.h5')"
+    "sp = openmc.StatePoint('statepoint.100.h5')"
    ]
   },
   {
@@ -684,11 +673,11 @@
      "text": [
       "Tally\n",
       "\tID             =\t10000\n",
-      "\tName           =\t\n",
+      "\tName           =\tflux\n",
       "\tFilters        =\t\n",
       "                \t\tmesh\t[10000]\n",
       "\tNuclides       =\ttotal \n",
-      "\tScores         =\t[u'flux', u'fission']\n",
+      "\tScores         =\t['flux', 'fission']\n",
       "\tEstimator      =\ttracklength\n",
       "\n"
      ]
@@ -716,18 +705,18 @@
     {
      "data": {
       "text/plain": [
-       "array([[[ 0.4107676 ,  0.        ]],\n",
+       "array([[[ 0.40945685,  0.        ]],\n",
        "\n",
-       "       [[ 0.40849402,  0.        ]],\n",
+       "       [[ 0.40939021,  0.        ]],\n",
        "\n",
-       "       [[ 0.41014343,  0.        ]],\n",
+       "       [[ 0.410625  ,  0.        ]],\n",
        "\n",
        "       ..., \n",
-       "       [[ 0.41049467,  0.        ]],\n",
+       "       [[ 0.41130501,  0.        ]],\n",
        "\n",
-       "       [[ 0.40982242,  0.        ]],\n",
+       "       [[ 0.41228849,  0.        ]],\n",
        "\n",
-       "       [[ 0.40996987,  0.        ]]])"
+       "       [[ 0.41420317,  0.        ]]])"
       ]
      },
      "execution_count": 20,
@@ -763,30 +752,30 @@
     {
      "data": {
       "text/plain": [
-       "(array([[[ 0.00456408,  0.        ]],\n",
+       "(array([[[ 0.00454952,  0.        ]],\n",
        " \n",
-       "        [[ 0.00453882,  0.        ]],\n",
+       "        [[ 0.00454878,  0.        ]],\n",
        " \n",
-       "        [[ 0.00455715,  0.        ]],\n",
+       "        [[ 0.0045625 ,  0.        ]],\n",
        " \n",
        "        ..., \n",
-       "        [[ 0.00456105,  0.        ]],\n",
+       "        [[ 0.00457006,  0.        ]],\n",
        " \n",
-       "        [[ 0.00455358,  0.        ]],\n",
+       "        [[ 0.00458098,  0.        ]],\n",
        " \n",
-       "        [[ 0.00455522,  0.        ]]]),\n",
-       " array([[[  1.95085625e-05,   0.00000000e+00]],\n",
+       "        [[ 0.00460226,  0.        ]]]),\n",
+       " array([[[  1.64748193e-05,   0.00000000e+00]],\n",
        " \n",
-       "        [[  1.78129859e-05,   0.00000000e+00]],\n",
+       "        [[  1.70922989e-05,   0.00000000e+00]],\n",
        " \n",
-       "        [[  1.89709648e-05,   0.00000000e+00]],\n",
+       "        [[  1.67622385e-05,   0.00000000e+00]],\n",
        " \n",
        "        ..., \n",
-       "        [[  1.56286612e-05,   0.00000000e+00]],\n",
+       "        [[  1.69274948e-05,   0.00000000e+00]],\n",
        " \n",
-       "        [[  1.65813279e-05,   0.00000000e+00]],\n",
+       "        [[  1.57842763e-05,   0.00000000e+00]],\n",
        " \n",
-       "        [[  1.67530331e-05,   0.00000000e+00]]]))"
+       "        [[  2.06590062e-05,   0.00000000e+00]]]))"
       ]
      },
      "execution_count": 21,
@@ -818,12 +807,12 @@
      "output_type": "stream",
      "text": [
       "Tally\n",
-      "\tID             =\t10000\n",
-      "\tName           =\t\n",
+      "\tID             =\t10001\n",
+      "\tName           =\tflux\n",
       "\tFilters        =\t\n",
       "                \t\tmesh\t[10000]\n",
       "\tNuclides       =\ttotal \n",
-      "\tScores         =\t[u'flux']\n",
+      "\tScores         =\t['flux']\n",
       "\tEstimator      =\ttracklength\n",
       "\n"
      ]
@@ -866,7 +855,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x7fe38b3027d0>"
+       "<matplotlib.image.AxesImage at 0x7f06934ac4e0>"
       ]
      },
      "execution_count": 24,
@@ -875,9 +864,9 @@
     },
     {
      "data": {
-      "image/png": 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PFI0uXxK+SsPl49ro4/zR5SHsnEyg3WQksIGs9WhIPrqoPON+mVOjt7jx7GPs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\nY5pK8xQxW5o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5wWkCkSo++wGPu8scNqZo1ELYKYlKIcad965Tdkbw+Ft87h/9CVtjs+QPn6N+K4qRVFAm\nm/i0FsyJ2HHodTzU5Aiiz8QGpjhgwnFIYLnOXnGO0oMYnaU6Ln+HtOOYwOlHZDey9NEIUSWilpkP\nbpEjSVv3ElAaFAZx3jNfoOH0Iwg2k2aGbGealualbgeIC0UmOERt6+y+tUhfcMJVHZwSVlqmh8af\ndt6gVozQ3AsjL/XoW05saZ/DtRnMhoJ66T7FSpJ8J0k5FmHWtc1p5RF+GoDAkrhBX9PYai9h1DQS\n7gJetUGOFAny9NEQRAFhysJYc9D6ZxGEawben6/i0rpc0O4Sk0rkjTjWd5u0idLBje5W4LSN+N8P\nyPgnYA++mP5DDKfIt3idebaYY4eg2EBK2eiCzLSyiywYFIw4D3pnccQ6hOsGlbUo35t/je30HFVC\n7FozKBND4v+kyEXtLl/77SdRwSMjT48nEtptw4M/XkYQYKBq9BQ3RGz8y1Xmxjcp+pI0KwFoc3Lq\nRwcK0B146O574DsgvzpAnhti2DJWWYScAC7QvRKmF5LyEZv6Ipv1JYJyE6svU6lGKezP0LT8aGqf\nmFjELXfQnU7yQhL8kLh8TM44Tykfw3aAbYioPYNJO0PGmqQ0SKI3HRiSiuWTELHR6BOQasyGtujU\nfBSqadx6l4hQQpZ0rJCE7NIJUUVBP5l1URARgzaSy6TXc1LthykjoGj6ycwNqc2MbwvTKeCngYFM\nq+/jsD3FUFbxB+p4ZhsIURFNH3CwNcP+cJpW34esWgh9E1kw8MSaDD0yOSOJq9ekYoYRBJuEkCfN\nMT4aHJNGRScp5MjLcVqOAE2CPH7vNKJmcjA5hTfeIOoq4bT73K/1sA4lhsdO5MkeVlzHcksMbA1B\nsUknDzlwCmRJUyGM19tkcXoN+fSAaidCsR+jbEYYmjJlKcIy6xhDhcIwiUPr45GHuGnTw4WIRUQo\nk/TkUDAolxOI8knf3UBGzziwazLCWQvdVp5E+Y6MPFWeSGg7F7qMn9pFWLapxOL0nS7sZRNPukna\nOsKp96EO7NmwbJ/s1aYAzwknJwL/b9BTCvVkiNzjScw9GUo2BOBm6xq7nQk+7f02jXaYZjvMV579\nHXayC7y9dx7upPHPVkg/t8dL9ttM+fYRZy3+r/Lfo0yEmhjE62iTHD/GTti0D4N4Bm1OsUYlE6e5\nFQYHqJ4hLk5+undwU7HDJCiQE0tIiklaOCZlH2Eg87F5lbbl4RlrkwOmyJSmKL6fZvn6A0ITVdbq\nK+iGA5faYWir1AgQcNa5PvsuEiYiFjmS3Gg/z3dan8X/6SLTrk3m2EEMW+yuz3Pz3RfABY6ZLt7n\nKrQyYVS7T2A+S/t6iVI3xr3OeZzeHufin/BfKf87XcHFBovc5Bqz7DJr7+ChQ9J/hKPb47d/41dp\nCCEcP9vn5ZffYtq5y6K5yXs3X4U1G86DcUfD2HTSWYG3XWlSqUNe8X2ThuWnYy2Qs5Msedc55XuE\ngs4D71numhf5Hf2XmDQPOC/dx0Ob+73L/F71b7Mcf0BYLpFhgiZ+PEqbF5V3SXOMJ9BieFmlQJym\n7UfEonErSm5jgnLK4juDzzyJ8h0Zeao8kdC2IwL9tpP6exFiWoGV66s8cK5wvDvGn934EsWDOOxZ\nCB+YXPknN+GMwK3D69gPBGgAYxD3F3AbLUrtNM7zbZRTQ5rfDmM+Vmh7gqytrFAtRhnsqWwH5sn1\nU0iDHIsrnyBN6FRtP28PXiYo1AmodZy+LmmOaOFlmj2mhT225Hk2DlcwqjKtKS8DWYUB8ADGXEec\nX7hNmQgRyoSpcse+xGPnMkZMZludI0cc2xKYEvfZrzT5+Heep4MbR7jP2efv8HPR3+Oc/oB+18Nt\n7wXu+c+xK04jYGMjUiVMmApxCmj0WfQ+IuooklXjnGKNV/geBRKEUjUGrzjYy8/TKvto/vsI4xcO\niEwWaQt9Lrrfw9YEjkkxlBQ0ucc7vISbLgYyYSr0cPKge46PV5+jbEQZ2irdUx5QwPDIPLKXwTAZ\nSg6aF304Fnr4X6jQKIQYDN0nrawmVPNh3vvGqzTf7SHUTtMduHg46aK4mGZsbo+2001AquEV2pwW\n17jAPSbIUHLFmJB3EFSTCGUuc4sWPjy0mWUHNx22egv8QfkrNKoBDFOGMFRcEayIxGDbQ2Is9/91\nmeLIyP9vPZHQ1i2F9rYPuysQixZZGl9jtzvJwf4M5T+KgdkBvQWKE7e/hXumw/yLG+SaKVqbfrBg\nsO9EUizsqggREJw2dMAxHKDYBkeFCfptJ6g2JTGK6u4zEdwjOhlDD0tYNpSIUidAggJmUcFsShxa\nHuJjRaLBIlPSPnktTd0Z4kCYwutvci59h3o9iCLr1OthGsMQAVcTwWVxMJyk6gjiiTVIO44QMCkJ\nMeaEbdpCmYwVZFB1ojn7pCczOMQ+Vl9A03ooooHDHBKjSJwCykDnZvE6bY8XNThknEPmHNuIDovv\n8ipe2sQpEKRO2+fhgecMXrWOiIWj2SflOiLgrtIRbFxqB9G2UMwIiqjjEAfUCKKjIGIzQKNoxqnq\nYQpWnIYZQDcVLEtG9BhI6SF9TaNCmCMxzeCMgkPs4j9XpfeJh0HDCXELr7uFmLPJPJrCPo6AGoWg\nRf+eRmPLS+85B3ZQwHDICOMtNGcfp91jR58lM5xAMGwElZP3wIApVpHRaRAAbCr5CGtvnqE3dEMY\nuGATTRaZ8O1T0qIonsGTKN+RkafKEwntQV6j/kGUuS89IpXK4LK7WEMRIyPAu31gH65p2L+2wO70\nLHOxDT77ytd4a+oLrH/PD78BW3+4DLM29rjIUFJP5nQPIDJZwb9YI3NjFiMs4rlcZeiROe+/T2z5\nPY5C17CQOCt8wmPHMgYKAbvOw48uUniYBB3cP9vFvgRBanjONsiace5qF/hs+pt8IfU17j1/kduV\na3x48CJ2FZ4Zex91ZkC760GSh0wm9vllvoqJxHeE1zjNGtlIhdgvHFG6mUayLTShz58IX6TsjNBK\neWkUIoRLNb6U/o88I36I0VK58dFLHM1N4gm2+Cm+ziIbDHDwp3yeHWZZY4Ur3MJPg4IQwz3WIJ4+\nJvZMEY/YxkBmgINHnKJleSkM4ySUPHNigykOGOAgT4IdZjkajNGw/YQvVxCMIbWDIPqqG/m0jnul\nRlI9JiDW6eKCJQOFLipDxMcWNC2EmQGpsT20sM6jg/PoKjBlw2cM+D8NBv9WYHdjAaIiYtyg+Qs+\nYmNFwnaFP+58mf3aLEJLZml6lZoS4EOe5df41/Rw8lV+hRl2aTwOYPxTYM4+Wdn6ksnp0/cZ9xzw\njv0yHVF7EuU7MvJUeSKhrWhD3Fcb5G+nESahciGM5u4ROlun8isxGI4TPVNm9uX3OG6Os761QnUi\nRPGtGPzxEA47uN7QCf5Ui4SnQM0VoG4HEGZsDFOhsh4jPFOk03TT/TjAZmIFOWkj8JBsaRyP3Mbt\n79I79lEYJKg6EzhXOkzM7tK0vHQmXdQJMMkB045dLFtgIDjYEWbJmin2h1PksinMQxFh3KDjd9IQ\nfCTdWebEbZaEdXw0aeHFS4sME/TELufk+9xW3LQsL1vMUd2P0TwIoh8p6E0HrnCf3BsJjpRxEAV0\nt8KSusF1PmKbObKksBHQOZkt8i4vcJeL7BVnyG1MInxko0V71L8S4IyyilWTKO4lqX60iK5J9NMy\nZ3wPuK58hInMNnN0cfEpvoeq6nQlF0dymqIUp5iMkf2vx+noHoYP3YTnq8QDBSTbZFzLMEQlSola\nK0ZjNYidd5CfmURJD1GudzF3dKyQAOsyiWdzeM80yOTnGXhdmEmZ7raPhw8ukq1OkY9MYKChDnTG\nY4cs+B4TpEaeJDmSDHBw9/AqtWoYc8lB4AsV1Nf6tKIeVEcf0YBeycuMd5vSkyjgkZGnyBMJbcEE\n2akj923qlRCNvA8t1EVJGHBexhl24JkH12QLadugq3sp2DF6dQ16QMJCnDVQloa4PE3cUoO0eIA6\nN6S2FaNWDKGmu7iEDnpJQ9QtDFPGtDX8RhNN6NHFhUMfIDRFcrUxTs3exx1uIhHBTQsJkyY+4nIB\nNx0qhDksTJCtj9Fw+fEaHSaduzSjLlzeNg6GqLaBNLCx+xK6U6Uru2jgp4uLqlki1pPx+RrI4hBZ\nMEAXMCoK/YcuKIv0xzUOXxvHTx1NHaKm+qT9h6Q55jaXsRBwWn3qnRDNlp+j/iSORI9qP0qrFIJ9\naA+HNLtuIoUqlESa5SH2dhwpMMCZaiDoMBA02ooHU5SIWiVe1N8nIpXpOFzc5jK7zOD092i95kXM\nm3iO+yiWgYMBIaGKQ+7TaAWp5sJYioQQMpH7BuFuhbBUQlwY8jjRpOkXYEdCugLKixbCR6C5uzji\nfQYdB8XdBPlHabSXujgCfZBAFE6mUfZtJx/3r3Gsj1Mzw7S7fuywyOLnN0i/foByvs++PoVuOsj3\nU0i6hcMYtUdGfvI8kdAeVh30PvDywme+R6md4O6Ny3ifq2K0VMScSezlLNasxc3ONcamj0ioR6jS\ngPXXXPTSXigEaWs2/Y0g1cUgn/J8j2viTQLUKU9H2Jmc45Z8mdTsMaemHqOIAxTRYF0scTb+DY6E\nNOvCElOTW7ikDjfvv4AjPcBNhz4ap3iEiw63ucQ1bnKaR1QIU7sVp7KWwnpeYGn6Divn7nNPvsCc\nuM2ssct71Vc5aE+zal5kenyPlsfNPS4QpkLWyHG/8llW0g9Ycd0lKeR5PLPMprDM0fEMZlakX9bI\nmBOImARdNaIrWTTx5AsjRxI3bZx6n/3MPIXHKdTDPte//A6K32R/dhESYKkS/baLu79/DYoiNhnQ\nQbMHJL053u2/zAfdF1kKr3FWfMAV8zaXmw+QtQElb5BFNrAQ6eDGqfYIjVWYT25zJI9RJ8BZHrBM\ni/uZi/zxH/wCxrMgv9rDG2jy0/J/4Kp8k5oc5F9oaZpOoA653Dj5RBpzRSIdOiAeOqZgJ6gVIwzv\nuogtZxlMyVQ6Ebb9MxyTpGO7KVeSdKp+jJ7E8tQDzrx6n3MvfsK445ChqHLD8Qwf5V7ksDtJOr1H\nhtSTKN+RkafKEwntM7P3OLr2Gs2olzH/PhPaAbeki5SSMRyf6dBoBbEzNlZapGYHkS2DcamGbBk4\nwx1i53JUM1G8pRavnXqT69KHBKjxDi/Tkr10cDNEJUsKHYW4VCAuFLB1kTsfXsX2wMLZTTYPlznY\nnIV98J5qMcUeC2zSR2OPGfIkebf0Cnca1+mbGmLC5Hr8XYZpFTtg84l5nqPHU/SDbsrjEcK+ImPO\nDGP2IWn1iLX6GYr5MZpmGKFxi9OBh3i0Nm3ZSwaV4wcTdEse4s8f0l1yoyoDpjwHLLGBX6yjiwr7\ngyn2etOoziE9ycW+PEU6ccCK8oBossjmB4tkytPQtxGf11FTPdzeFq1siOEnGvgEwp8q4BzvUr0b\np33oJaRUGf/MIXht1sVFem43kmzQx0GNAEVimILEFPuEpCopsmxUTpOVZAqhOLvMsG4sM+w4YGhB\nWaC75qd0OsbBxCRZUrQPbagBQbA0CZfeYy65jsvbwlbAS5P+kptez0u1HiVazjORuEv+OE2hNYZu\nKdhRIDqEjsKMa4fzjvssODbYZ5q14zPc+e5VjtoTiFGLmdgeHZfG/pMo4JGRp8gTCe3xVAZWDtCk\nHl6jhcfuIBwKSH4Tz7Ua/QdejIYKAWh0gggi+L1NokKJULyKc6WFrBtEmhXOKZ/gznc4bo3zceoZ\n/M4aSTlHkhyHlXEe1Vawx0Scrh49y8nG4Vl8wSYTZ/bI1ccod6ME3FUccg/F1nHaPQpCnKyeotqO\nkCnNYTZVnHKHq+Mfciq+io7Cqn6WtdJZOg/8mDMy7skmpzyrzLDLBBni5HnUOI3eVul2vXgaTvzH\nTdpRF7ZXIKRUMZsysmlw6tRDMtI4A8tBRC0xziEhqhRIsN+b4ag5wZL8GMWrY3lhNrzFYniDeLLA\nvY8vk7+fhqGNeE1HcQ9QJR3RYYFqgWWipdrIQZ36zTG8jRaxeAHVGpLvpNga+jj2ponIZXw0ARji\noI2HJFl8tNAthWY5QFd1kwsl6eKi63YSnCrTcXoYVhz0P1bZkJdp92XyRZnGTuFkGuCzgA5KcUh8\nKotbazPGKruEAAAgAElEQVTAcdKbn9AQXAKubI/gsE5QqVHuJxmWnXTaHpxWC2e8ixwd4nK0MS2J\nvJVkU1xgtXuGta2zKLJOOpDBazcJy6OO9shPnicS2k3By6fktwlQ58HaBf7ozV+ka7oIXy0w9eV9\n9PMK5UKcg/U57AMoGy4asRhfWfkq0XSe78qvMnN2k5hVZN8xydfe+hnWVs/S+mUXPz3z+7zue4sK\nIb59/w3ev/kS6i/rDCYd1KUAg3kHOVeCD4VnqUaCBEIVFgJrGC6RVfssR/oYMbmA3ZRofxJi6FDx\nhFtMj2+Q0I4JUsVFl532Iu1cAHtXYta/zRt8gwU2iVBBo4+FiCPUI+zJUc0naDV83PiNF7B+yub5\nC+/yX4T+NcI12LOmecXxXb4zfI0Na5GO7cYQZFQGhKng7vTpHvl5mL/I/Mxjzp2/wzR7BKkxVFWs\nC9+/rec2SE4DXXdQLAexLksI5y2E8pDmggfyIlZR5PRznzB5ZZf7nvMcb04iluC1C3/GsucRF7mH\ngs6f8nnucoExjmjgZ9U+S7UWwqc1qBJiiXXSk1nUXxqw1j1NcSsJA4X7dy/z8K0Q5h9/k4HWh88A\nCrAHwx2V7OkU5333WGKdO1zC4Rmw7HzIXHKHjD3BB+azTM4eoHl6PNo4R/8DD954i6Wfe8S+NMWa\neZp6z8+MYw9nrIfwJZup0A6T0R3yrjgLbDyJ8h0Zeao8kdDeXVvA3HiW0ESR7ribmVc28dotjLRI\nR3Tj0rp4ww0iVo7zwU9IWHkEt40aGbDdmSf78STNqQB6UsEjtGmKfirNKHzHpvOyl+ZlLwIgCDYD\nw8n28RJHvQka+SLai10GAweHN6bp5dw44gPMcZGj9yfpWm7MZ+FZ4UOmnBnWps9yqIzTdHtwOdvk\nSJLTEyi2wV57BtG08b5QgnGTLCksJHw0EQ2Lx5kz7KgzBNI1rIhEN10nvHzEqemHXHHeBGyizgLH\n7TRvr79OJ+ImHixgChJ9NPpoDFAxHCJasM0p32Nmw5tEKFMgzq41Q50g7QUnycAB0XNF7Embuhzk\nkBlIC/jVBgHrkHnPTRyxId1XvchTQ5o+D7NsEwuXMZwqqjpgjxmKdoyqHWZLmMMWQGWAmzaLrJNX\nJpiv7vK3P/gP3Fq6SC0c4JT/IX5HnfxMktLnEhS7SVqraRBfAPUWUkLHtdJiGNQYHjrIvj2BPadw\nPDuJ7BuQUPIExSoNxUeukaJeiiIJIpJoEFs8xgjI+Fx1PFIbQ5CRBQNBtZmXthAQuM2zKM4hCW+O\nRTaIUeQ3nkQBj4w8RZ5IaGfX4lR2rjATW2dp/BHXxj7CK7TYFWa4wTOIWLg8HSKePOe5xbS9T8dy\n82HrOR7nTmMfStghESMuo6NgxUVIAFmBWi1Ehgk0BthhAXVywFF1ArFroXQ/ZC5QpVPxUtgbg6rF\nUFaotcPkVicwRZH480cnJ+jct0jM5HjICnk7gdvqsG4tsW4sUe8FYSAT8pRJrRwgugy2WCBLmiRZ\nwlaVG43rdDQXaeEAv7dBPl4k8HqZBfExMbHAFnP0DBedjpeH1fPM+DZJykcMUWnjoY0HFZ2Is0g/\nqjKm7uPVmgxwUCDOsZ2mIMTQEl3GU0XG7CMqZoR+RwPZxB1vE9FKuHabJMnj8zURnzVZtVdoWlHO\nCKsYUYUmJ19wx6So2wE+Nq7hFjvMy5tYSAQoExPLPA6cZbK9zwvH73N78gJVPYSn3yGl5dCCA4yh\nQsMO0LJicOEKlLYRnBaqv48pytimhGe3S9ft4TDpJG4f4xHaDHBS9oYZGg5CvTp1I4Q32GBmahPX\nVJewXSFtH59Mc5RcNCQ/M+xiCgoxqUBYqJDmmGe4QaMTeBLlOzLyVHkioU2ugrPX45p5g09b3+KK\neZuKHMYrtCgSY4hKBzcKBodMsGvMcLd/kfrdGIFBg1c+/U2WfY9QlCH3uUBnzn2y9rYCjXEfR4zh\npIe61GU29pidtSUc/h7uqRxj3jAFMw0rIDmG9HCyv7OIHlDRfB0QoEyUPWbYZIEKYeJWkV8c/i4f\nydf4hvVF3su/QshbYmHsMVPqLiWi7DNNCy/nuc8X5a+hL6lkhRQ+Gvho8j2ryKPWHE23j5haIEGe\nR60zFEjgPVtF0QYYSFiIJ4ss0eIMq0w799hmnreOPk/P6yCUKjLJPuPiIVGxSJQyMgZdXOy3pjjs\nj4NksZBaw+XosmaMk6t9gYDQYDm8SsmMYVgyLdVHXQhQJkKA+kkv3spwp3OZMfWI5+UPuMtFFHQu\nS7eZntiC5JCPjfPEXVkOm+P87s7fJTqbxcoKHP7WDMbrAtL0EPNnNPhDMHIK9e9GsZIiqfQxv3rl\nX+H1NTlkgjfXv8TD4nm8Votnrr/H9dAH4PqQt62XUSSdi9zlZf6cBXsTt9FmQ1piQ1pghzkMZES3\nybNLf86MvMM8WzTw8/X9LwPfeSIlPDLytHgioe2atZle3mTKtYdH6NAWvciCQYwii2ywzhIGMipD\njhijLXqoKiHSY8ecsh9xNfQxPdnBvjnN494yDa8X50wTt9ZBcQ3poxGkjm44KJsx9IjEZChLQDmk\n3nmZHk6WxleJq1mGpsphewrzvIRHa5EWMhjIHDLOJguUiVAWIrwjv8ixmEaXZGzNpjnwka+kCUfL\nONSTy8wT5Bkng0MccMX5MQXidHCjMsQvtEg7jqk0otiSTDxY5LOttwjqdaywybGcokIYGwEPbSRM\nhqhYoohDHZAIZjEcIkmOeYl3cAh9KkQY4KCJjwEOJh37eKUWLTxccX5MTCoiSnmync/RM1wEgzUu\niVU6gpsNFunaLizhpCe+YS8iChZjjiPS0jEKOtPsIWGwK8xgOCQMh0SRKAEanNYeosc1YlqOUijC\n8fVxrkzeJRYvcnBlhsrjbZyXHrHbnMfsKvQaTh4vLTPv38DTbDGoOmj2g/QcLh69c4bqTBjfxRrT\n9i4IkLOT+O0GcbtAT3SerEVOg0vcoYeTvqSx7HxEDycPWUFlQCUUfBLlOzLyVHkioa3NK8RPZ9Ho\nUyVEU/AhDm26outkVgUSQ1QUWydvJWj1fIgNWBpb44rrJjPscIsr7FozFAZxBqKC111nwbuBV2rh\nYEiAOnpLI1uaBL+OU+ziqvXZKE0ieCwuJG4yxzY2AqnAMcMxFY0+UYrYCGTMCTYHSzQVL6JsUJFP\nljTt2xrp4AF62YlZVegFXUTUEhNkWGCDEFWOGD9ZlY42+0zRwoMkGcw5t2lXghi2iiMw4NPmdzhj\nrFIgxAc8y2NOYSESpoKHFjmSNPBTV/xEYzmcdBnjmLN8goLBAZMcMk4HNy6hyyXXbRpWgIfGGSKd\nKmODLFOtQ4bFCmUhQnrqiFllh5od5Detv88QFbfZYdh2sCUHMDSJ55wfkBKymEhMkCFnJ7nLRZr4\ncAld2ngJUmPMfYjX3SREhT3nDHe+eJEL0h0m7ENExUKZzhF5cZ3uhpvyZozmoZ+3l16hrbmZEXZR\n5QHOUBvbK1J8O0FD8OO61OAl4R2GqNyzL1AiSl5IcCBNUiSGjMEMu2SYwEYgToE1TrPJPF1cSEnz\nSZTvyMhT5YmEdq/vZI9pAtSZIINmDPhe7nV0h0wyeUidADYCFiLNro/6wzDmmw4cP6PjvNCjgZ8o\nJS5Kdwn46tzLXIWOwM/O/z5DSaVI7OSmtrp+cld3ZNZ3zyK9e53+2SSJxWMsRPIkWGSDN3gTE4ku\nLiqE2GeKzc4i2/tLCAmDQKSCINjUCOKR2vxD7/9CxFlhYDnIORLYCLjpEKFCgTjbzHGaNUyk7x+x\nz5PlPjPouGNNOrjYEWZ5J/kc2/YUWSmJRo8kOcpESHOMlyZv8nkOGaeFlyEKXlo0/t/PRqBIHAEb\nLy0m2ecMq6z1z/LvK3+X/XsLOPYHtN7/Bv3hWcZmMwTMBtPsEadASsySJUWjGaD+bhRrHEJnirjE\nLlGhSIQymyzyiX2Oh/YKAbFBjCI9nPTQKBHlEacIUkMWTM7Iq+SEFOv1UzxYvwzNLA63h88uf507\nmWvc2bxCYzXChrVMd9xJ6soBXqGKLqlcS9+kpXl4zBJdXCdH0mjcFS6ywSIf21dZFh4zQYZt5ujg\nQsLEQ5tz3MdNmz/ip7EQn0T5jow8VZ7MFZFFB9WDGJV4BIc2QBWH2G5oy2429QXaGT+GriAGLAQH\nxCN5/GfaELQ5ZJwCcVp4KfVjHOanafW9eJxNbEGgiY89a5rN4QKmU+CZ9PsU1Dh+s4E5tkchUqLd\ndrHzYJHYZB7bI9DR3RhdFVky8PiayIJBSskyH9jg2ByjXo2QsUUU9wCvq8WRPMaYfMQi63hoUiBB\nFxc6CjWC7DOFgz7T1QzP5G8THK+jc8gFQcbvOLnpQJkIA03F2exxfnuVkL8GIZuMawxEmyIxqgTx\n0CZBnjp+ZEyc9PBwMpPlEafQ6DHLDos06ePEkgQmXPtYaQlDlWHfgnmDXlxlT5oiSRancPIFUdKj\n9Gwn3nQDb6hBWswwKRwwY+4Stqrcly7QFVx4aBOhiIzBIeO4OVmMykeTDh7aXS+NUojx0D6yZNB0\nuREELwUrTtBdQ13qMenaQUqZGCjs12dJ+Y7wKk0sQyLbSNOx3AjYxCiiI5MVUrTwkm+kuJe5QrUV\nY8eTw3uqwRX5Y071H5OqFtn0zlHTQpQaSfrW6B6RTy+Jk9tUhb7/cH1/m8nJzWEr33/0OFn9beSv\n6j8b2oIgjAFfBeKcfLr/yrbt/1UQhCDwe8AksA/8vG3bjb/sb4htm27GhxGQ6WsObElgLrrOnjnN\n/e4FuvcDGF0HzFlML2wyM7/F7Pw2LbxsMY+FSMmKkO+mOD6cRo73CcRKHMiTJ9Ph7BnKwwjnvJ9w\nJXqTj4zrzCT3sDZv8mh6k7Xdc2yvL2GGRQquKN8avk6rGiFElcviDU5Za6SkLOfHbzMsq2w3lsib\nLpJSBpxwg2eICictERddbKBOgAB1hqgMUagTwNHc4sr2PRY8GzQNkVkkwlSIUOYuF1EZEulUeGHj\nBuK4TUtz49Pq3BfPscMcOipzbLHM+kkbCR+WLRI2qhwbYxyZ4wS1ChPyyUqJNSuEIup82vNNyucj\n1CQ/O9U8vZdy2JZIRp5gwsqQIE9MKOIx2ijKkOmLu0Sk8sl2CsSsEmGjii6qKKLOpHBAiAqKZdC3\nnDjEAW6xyxzbHDBJoZ9k62iJlJzFH2wgJQb0RZlcI0Vb9hKcrjGxuItXarFfnuOwNkXAVcUv1xEM\nm3v/D3tvHmTZddd5fu7+9n3Jl/lyz8raV5WqSlVSubTYsmSMbQR2Y8DN4pkGJobuYZpmhoiJiY6O\nmAloGIaO6YZpwt24bWhw2yDZ2LJka7NUpa021Zr7vrx8+77eZf54eZVPNXZgkCkkm1/Ejffeueec\ne/PGL7/nd7+/5Wwdp+OQifk3GJDXEUSLeSawEGhVHJgzKtc3jnI9fBh/Msdh71WG2qt4My2yUpRp\nYS+FzRg1PO9K+X8Quv2jKwKoTkSXhOJv46GCU28i1UzMOhhthQ4iFm6gH4sQFgqgY1FEoInIBhoV\nJLWD4ALTLdKQHVTx0C6rmDUL2nXA+gf+W99b8v1Y2jrw65ZlXRUEwQNcEgThWeAXgG9blvU7giD8\nJvC/Av/Ld5tg7PgcG3EDr1JhiBWiZMkRZr05SC3rxbwpQxkEINKfZSy8wAFucpP9ZImSJ0Sq0UdZ\n8KPtrzDpmGHEsUhWjOClwgfEl3C56viFEh1dJZUaxOtoEBVMdmlztEc01mODtPwKUanAXudtXpce\nIJPu49X5s1zL30MwlGPg3BL9/lWini06lkJGDFPXXXxY/iYCFs/wKFkiqLQJkcdPiUFWsRCYZJpG\n3MUfnvosH8t9jVpB4A/5ZfZz6+0i/8uMkA1FqZ71kHbEaDgcjEtzZIhSwYOTOhrdHXL2c5NZdvGK\n/gB/svFZNjaT1Epe7j12kT3RKcJkmaiu4C3XaJdV/jD5WWb8E9RxM+hcZ4gV7hXe5FTzIg6zyboz\nyR51iqSyhkesUsLPIqN0UKhLbgbEdXJiCAAXdcr4Odq+xieqX+MV70nmtRGq+PFTZtI3hetAjcXK\nGNmtKA3NhZlVqb0apFnzURyMURjLczhyibA/jeUxCasZKqaXtBAnPrFGteInu5SAfpGWR2aZYaJk\nGI/MMnF2lm/VP8hUYR+FN2Lc2HcIuV9nc7yfVXWQrVocPSOjJWo0353+v2vd/tEUEVBg/DTec15G\n/skcP6Z8jROrlwg/V6L2kkVmWmAJmTZOLBx0UNAR0LEw0RFp4KHBAUEnOm6hPSBQfMTNxeQxvtH5\nCLN/vo/CS1W49Spdy/wf/Re2/I2gbVlWCkhtf68KgnAbSAIfAz6w3e3zwIt8D8U2wgKBUJ6NxiAO\nq4XmbjPBPCUpwOvaSRoeCZ+WZ3R0npA7SxMHywwzyCrj7QU6VQffFh/itmM3HkeFgFhAFnSKBOhn\ngwlhjrLsA6BliXi0CpLSQRcUJqQ5dI9M26MyyiJeKnQEhaA/S23FTe75KOXdXjohgaCYZkBZx0md\nIgEcRo2gVWA3U3ibdeq6h4CzhG+9QmJ9i9BAnpZvgyHHOoJqUHL4MJRlgtUiTsFBjDQFAjRx4KWM\nmxqa1iIVi3GxdZym4WBCniUiZEniQUHHRxmFDgJWd3MAoUXUkUbxd6hJbhqKg4IVooPKkjxM3JFh\nzJhnTJ6nhcwy11Dlceq4KOLnfPsMakcn4CgSkIo0cGIh4KWCk66/oJNXSeTSnEy+Ts4dxkCigZN+\ncR2/UgDRImdGmDMmkHQDRND9IprVINFaZ5d2i9uuHBW3STun4bLq+NQSitAhomTwU8RPCdlcZZc4\nx4y4m1rbQyPvYT2aJEyaI+ZV8qtRdEFl3+ANJsxpRI9BRk8QcWTxyyUqHi8eKrhbVaRAm87Wu2P3\nfhC6/aMhCgxGkY/0safyKveqlzCfhUytirDmou/SOuPSNeKZRfxrdVx1C4mufdzZ/rTorpD69ncB\n0OjubeGrgbIOXHcwsKmwR3fhW1uAWoM4t1AetVgbGOa5yyNY2QSsZbdn/tGUv5XWC4IwAhwBXgPi\nlmVtQVf5BUGIfa9xeYIMuHLMbO2hZARQ3C0e4nnaDoVIJENmr8KgY5kP3f91VhncjoMe4Zf4HA+2\nXyKYrdKJytTdju4/LTUMJCS6W1X1s8EaSVpoIEE0tIEm1KniYYBuokaaGPfxKg3TybPGh/AESsTY\npPRmCO1cHffxEm6q25EcVUwkBqU1RqxFkqwxVlslWKuQi3tRFg08F5oop3TMEYFa0Mk1aS8D0joP\nWS/QCbjQnBIfMF7mRfEcy8IIAYoc4zIDrNNEY6sZp6a7can1baBuYyDipYKIyQJj5AkRlrLsj9yk\nGnGzKI7yZutexLbBbnWaq44jxB1pnoh+mTHmmbBmuG1dY9m6hwvCacBiWj+Ao9Pin1u/h9us0bY0\nFKtDQkzhFcvMMUHfaoaT1y4x8sEFFt0jzFkTdCwZj1xm3j9Ehggbej9vdQ7TaSooZoeAXGKXOsu4\ne55BZYVKzGTzQIaqGSTZt8REeLq7SNFEtdpIHYsJcY4+YZP/q/4b1GoetE6TeXMML0UetZ7ljxd/\nlXlhF55kmbi4hTdQYfFQmX3SDe7hEkm6+4nmxRDOoTKtb0X/jmr/g9PtH04RAAXZaaK5ddSSiTUW\nRv7UQU6v5fhXvpt0nm1yc+WrpFeAr3VHzdFlrTvsALTNVmvbs9quYxvE5yxgpXtYX2/S5DpjXGcS\nGAAOA55PODh/32O8/h/OodwKQyZDywutmozeEIH2XXgm7x0RLOv744u2Xx9fBP6NZVlPCYKQtywr\n1HM+Z1lW+LuMs7TD+zDjI6hqi+R+N8cONRhihWWGeNk8i16VSQrrHPNeJE+YOk5AwEUNt1HHpTfY\nkmIU5AAmIn1sEWMLLxUaOKnjQsSiSIB1fYCZ0l5QLdRrL3DfGTAR2NzeUCBfC7NSGCUYymIUJFJv\nJJEPtRgbnOXDyjdpCN1oBid1JExcZp1hcxlvoQ51kdW+BO2OilLtMKCkaDgcpLUwitjBZ1Zw6zWe\nFR7l1QtgHTmD4m6hqF3m20mDEDlGWGZWn6BIkDFpAafQoIGDOXYxwDoJNplmNwptPEaNmfJeWrKG\n5GyRXu8nrqQ42neJq6VjBMUij/q+wZYQQ7Na1M7fYPRMjA2hnxWGqeheJNNkUF4lrqcJtEpILZNl\nZ5INd4IQecauLjN8Y5XswwFuJfZy2TxGqREgJmxxyPUWM0yyZg2St0I4zAbGpkzhjShqrI0/WWRw\ncInSa7eInpyg0AzhVcsEtQIaTYoESbX7KGxGkJ1t/JECXqOKrOtYhkjLoaLIbbxWhVI1iCFION01\n0maMQiNMLe/jseBfM+Jd5AYHuPGKQm4qg+Zp0mi4aH77GSzLEt7VP8G70G3Y09MS3T7uhqwCg39P\ncyvAEInjNSbPLDH25BytbIu1sBOzvcwRqQnrFh26pIVFF6xluqBs9rSbdMHasf2919Lujf2x+3bo\nbsuqbB8yoA4I1NxeLmY9nDQVxJiDW4/vYvrlYbYuObefxd+n5f33+ax7JbN92DL1XXX7+7K0BUGQ\ngS8DX7As66nt5i1BEOKWZW0JgtAHpL/XeNcT/4zmR3+JAxMXmfRMMcwyKoeQ9N1I+gOILRm/PMOI\nW2YvDZo42CRBGwUJAx9lDpmrOKwma2ISr6DRR5fueL1zkjfbJ/C3K/g1CVMNkMsdpmAGqQkytY8O\nMa7OcURLM8Ue6vnD1JfuxRvfRDY6uO8LoA3XGImFeFR9nYwQpWMpHLSuUxE80PJxbMOk1o6yoSZI\n9PtoOxRcRpNjlSJl2cOMp58IWby6hdnxc0F+DFnIMPT4CYZ984iObqbnfv0Wh2plDuRavBwKMh3Y\nRR8e4mxhIaJxAKF+kFYJCqmjeMQaHk8aQ92Hy9uk371KeCFESB0kOuwjnD9BVMgwFsrgF8I4rCbr\nVpVzn/aSFUJc4CAubEt+jDPVLIfr61R1Fzc9CeZ9MgN0GNxtEdnjZunDceg/yJL5QWJVkyFxhX0e\nkzz3U2cYPxJ+ipQvB8lOn0I/3iRwepYzE1/nhlxi5NMH8VAjr4/RNlT2KFPcru5noXA/1XIUggZS\nf5qTwnOoVZ2NYhJPpETdcrFZSiI3dfqcGcbiM7xunqRSHced1tgfXWYyILPM40j7TkM2QeLoDLmt\nOM397+6f6d3qNnzqXV3/3cnBH+BcMhCm/3CF4T15nC94SPob7BlucdiZo1XLMVOD63SXKY0u6Erb\nnyJdILbFNgXN7XOu7TaDHetb6OlrUyn2YQOTDgjrFlAGyvy0CqI7wqWRYW6/JbES81F9cJjFW2E2\nrnvpRqToP8DnYssP8ll/v/Kvv2vr90uP/CfglmVZf9DT9lXg54HfBv4p8NR3GQdAKRXALzRwt2tU\nOl4uK8dIEyOrRyhVAzRKPkynguJu8QjfRrNarDCEizpuatRxsducZshc4VXxPhasMbaIU8XDC60H\n+Xr5owglmT3Bm+zve4uJ+BQL2UluFiI8k3+MR/zP8oD2Mg2cpNQBHIEm+UYU1dXAfzqDR6giYnGN\nQ4iYxNkiaa2xRpJy3Y9y22JhZIxLY4cYY2GbomkgWBYOq0nYyiFikpeDFKQgUTLsUW7xyegU/ayz\naSV4ko/zwc63eTj7Eo6rbdYOJSkE/MTZYoB1NKtNy3LwdPnH+M78Q/CKgKUIKONtJs7cYiwwxxDL\nOHY3qeJhnSQDkRW8VLjJftzUKAk+rohHkYUxDEtikwQHuEG/sEEZH4Jo0lZl0oEg/dYq4/UZKpIP\n44jI5rEwGSJgwZiwwBnveVxCnTWSWAg4zAZeo4qqt2kJLsQBg8DBHBN7p3iI57hq9DPT3s3HlKeY\naU9ypXOUiJwlnU2wtjmMa18Jp7+GJrZoobGQm+TVqQf45NEvIlgCr83eD1mBw5ErnI68QtTK0HC7\n0CZaSEaHSseHKQkIMjQkJ7P1SYw15ftU378/3f6hEFVElJyorUEOP7zI47+4QHTxRerPZcg8B/N0\ngcJLF6QluqBtbrd72AFbnR2rW9qe3raqbYBnu18v322Du7p92G5HjS75YW6Pn2sDV7IErjzLR3kW\n+VSUlf/9LE/9xySFm4O0HHVMvdat+/5DKt9PyN8Z4GeA64IgXKH7jH+LrkJ/SRCEXwSWgU9+rzl2\n77nFGX+VV//iNPqYyoFHrxIjTVJaY7dzmj/Vfo51eQATkRYae5ji18x/h4xOU3CwJcRBtNgU+2ih\ncbxzibiRpq3JzDp2sSldZMy7RETJ4qJKGxWHt0UzMkt/9BU6isyf8E85ylU+6PgmJ+JvcN06wKI0\nypYVpaAHKeFHVjp4qeCiRk4M46SOT6ugDHYYCS5ibe8U7qBJXEyx5Q6hGS36GmkuaUeRJZ1dzBK0\nCliWgcgBBippJq1Fhj0rXFKOM983zsdPPUnR76WBkw4Kr3GKhc4EC/ndtCSVXXtv0ow5KWbDtJpO\n3HJ3h50ZJnHQxECmjosEG5iIzDHBHqaIkCVIgRJ+FvRxbtf3knOESWpr1HHRr2c4XLpF/0oW4Q0T\nacrAc6TNm0eP8a09D3GlepQtKY7oMhkRlphgjkFWeYCXubx1nGff+gjCeQtJ0Rn4iSX8I3kMRF7j\nFOsL0Hh2N6+fO8WWFkeQLDaFBMR1BnxLFCUv3k43tT9FnE1vnHZS4jucxVItXBMlWlU3i8UxPj/z\nWfK5EE1NRd1T58+nfwa1ppM94KfgD+JxF5gMTpOKDbD+LpT/B6Hb73+R8PzUIMOnVT7+b/+E6Fdn\n0d/KkpstYdIFUJv2gB2L2gZRiXcyyr1AbPBO8LapEZsyEbfbugz6DrViLwawQ6XQ89u+jzJgTJfQ\n/8dXeWJ5lnOjk3zhf/5JFl5uUP+vK/ywxn9/P9Ej59l57nfKI9/PRTzhMj6tQHEuRGNBIFp3Mnw6\nzTPWE5sAACAASURBVP7oTe5RL3FZOkZblDAQWWQUo6PQX99kl3MaVWmTJsqG2I+MjpsabuoIWFzT\nD1GWfIw6F7qOTVSW9RHSuT5E1SKprfBo55ukzRiXlcM0cOCXi4TkDOPM0qorLG+OoCsybacDj1zF\nJTQQBCjh73J1qoWQkPCUK+yaWiDVl8BwC6SVKHPqBJ5OnX49RYYY8VaaeDVL/+wWb8w7Gdvw0pfJ\n4FTrWJMGM9IkK+4hvu7+MGniaDRxUSdPiFv6fhZzu/HIZaL+TUIjGdRgm2reh6J16KDQxEEDJzHS\n7OU2PspkiDLLLoIUtt9M6jhpoAgdVKGNiImMQYg8pgRFzYsmt1BrOkIaqpaDrBRhVRgiLcQoCz7c\n1PCZZfrZwEWdiJilKbq5pJxi9dYQHUEl8vEU9aqHtdYwVT1AunWbVifC1ewx6hEHOKEoBKgKHoym\nTOemAzMmwQisXxwinYpjWiLrRweQPDpCWYC6QLkQ4GY5AAYIYR2pz43fqONRavjFMg5/E69Y4ajr\nMlPx9rsC7R+Ebr9/JU7II3Fm32sIfXmcNZG95gXkuU2yc11wFOlaujJd4LS2v6u805rupUZsgL+T\nLunlug12AN/ucyfH3bs4iOzcjz2PBVSBdqFN57kN4sIGwZEsB2ujjMc76EfLXJg5SaFmAFs/kCf2\nXpG7khFZs1zcFPdTd7pYf1oh+2d7+fk/S0EcNsR+QuTps7bYJMHrwgn+uvUx0ukk/338/2FAW+Fp\nPkyOCH1Wik/yJTaUPpbFE/xR45fxKyXul17hGJdZYIzzrft57tZjDIcWGDX/nE9ufIecI4jDUyNN\njBWGaeJgF7NEy3nq1wMYcQn6ZMLubh2UJt0A/w36ySlhvNEKJ69f5ui16/Q/nOPy8EG+o9zPRY7j\nUFqMyQt4qDJSW8G72IL/BKGZCg8cfx1rQyAVjzI1uZv7hAuEyfFb/B8c5i3u41XibOGnjNppIxZM\n8qUobYeDQ8cvEogWaUYdXU+7JaNZLSxBYJ9wi1/ic6yT5GUe4CU+wDzj2wD9CsPWCh6pRsybZkhY\nYdyaZ4B1JJfBvDNJLJYhVK0gRWDuQ8OUoh762MTnK5EjTNPSOKJf5Yh5FYCCEqQV1yjGfXz1yZ/k\n1o1DrD4/DiNW9525BoJvE/Eehdtrh3BSITSYpm65yOT7WLs+Bl+Byqkmm4EWK38wTu2mDwZNpN8y\nsaISzTd9ULEgb8GWAPstrLiEkXNxbtcLHA+9xgyTFAmgCm0OcAOjT+KVu6HAP2wigGAdYLxP4vc+\n+9usP7fAq7/XJe7ddDcg6qUtYAdwle0+9konsUNn2KC6fQkkdqxrhR2w7Y24tgH5u9nE9hw2uNsL\nhk3FNNiJ4L5lAYsbHP2Nf8uZT0Do07v42X//33Gp1gZh64cqP+eugHZ6qw/R34/2ySrjD+QZaGap\n7w1yhaNc4xBFAhStAEvGMPdKbxJ2nKeQCON0VFFp81k+R5YwK+YQf9n+BC1do21paFobj9wF4z/i\nl2niQNckfmHfH1PXnFy53s/1AYGy6GWLOCd4EwGTafYQIUvd7yJyZINiNUyhE+R1TiHRQaVDjDRr\nJEnRh4CJe3+d4ECWdlxlzjnKBgM4aRJni6BZ4Fv5xygbYU6MvMH0ZydZ/VIOq5ziiwf/CZcGD9MW\nZc5wHpUO9/MyAYq4qDHGAiX8NF0O9u++ya76AnFri+cdZ/FTZJQFFhlj6vI+li6M8fGPfpn9I7dI\nE3s7PBJgD1MEKXCe/Tw0lWd3c57n9jsZVpfZU56m73YWedVAKJo4tBaqoWN5BPqELSp40OnWKu+g\nABYtWSNXiJHYSNMacpL2x7jNXkr7/F2v0hC4J8qIfp1qLoD1kox5XoNhAR2FUjbI9IqbEe8iB498\niWw4wpYrznptiOZ+R7ceelKgrTthQUBYNhk+Mw9OgaXpcRIHVjkweI2HHc+x5Briv9U+xdrqMO5o\nmUgkTQ03U9n9d0N9f7gkHoFzJ3nixst8ZPkbTP3HLYrpLhDLdMFVoEt52LHUvRazbV3faWmL27/t\nUD4bhG2vg749p043kkRhJzzQtrLtRCk7xpuesTZNYtMo1h3t9jVFYPoN8C1s8quZ/41vHHicr+x7\nHF58HdK5v/tzew/JXQFtExEccOjQVRyHmghYtHDToIOfEkEKbHYSZOt9hN15dqtTVBQfywyzSR97\nuI2ARY4ITctByQpgCBIOuYkhSaSJk9muCucRq4heg4rgZcPq5xXvCAhQxYOPMl7KVPDRQcHtrHHS\neYFUJolidKjhRqJDa1sdFqrjrHSG8fvyTMcn8cVLJNhERCdEnhhpNFo0DCczW3tRtQ6L40PcCu9h\n+eIqb8QH+EboMd5w3oOnXcalNNgr3eY0FzCQibRzJMppllxFPK4KzmiD/e1rjBvzrCsxqnUvzaab\npHeduuml1vEzanUThFYZYp0B2qiMsMQgq0gYNNFwmg18Zjcc0qtXibZz1HQ3fqOCt1VDrhqIfjC8\nAqFWsRsGqBist5KIoklUTCPNW5g1mYbmpISfKh5MREJHsgTiJca8S6wG46QicSxVpN42MDdlGAW9\nI2PkHVSfEYgNiEiHDSTBoN3RqHR8uI/VkYUyUtig371Bp6CwkezHMVKj7VShAWODc9yTeJ2DXGGd\nPtKdGFtWH1ELfBTpoBCyCndDfX9oxHHYi2/SQcyzwj3iS+yqPsfMxS6Y2lVceq1lW2yAtYHZBvY7\naRAbaHt/q9v92+xY78p2ey/VIbBjWcvs0CjGd5nfvj/behd6xphAbh1q61X2822Oih6mvUNkz2qU\nZtw0rtX+to/tPSd3BbQjsTSDrPJJvsQqgzzPQ7ioM84853iRLWLUWl7qmQBt2UlHVWihMsc4DVxY\niOQJYYkCH3Y+QwuNFH3cZD9pYkgY3MerWAisG0n+OPurVGUnov4FvmGeIialibPFGkkiZPFQZZYJ\nVFp8hv/CajhJBR9uoUYHhRYadVyspMaYL05w376XmXeNU8PNZ/g8B7nBAN1Ss1Ps5gXzIWqbLrY8\ncS5M3EeKBHM+lT84+wiv3TzN6twg4lALn7+C11nhE/wlDZzINfDdblAaCjM7vAsTCadSR1B07uNV\nnso9wZc3P82v7/ltzh57geThFfxykSwR1hkgTwgPVR7mORQ6tFEYYhNzj8k8Q0yLu7m/+jpIEi+d\nOMPEyVkO1m7iXWgiti1E2cJbamKpCsvBYf6i8LOgWpzSznP6Ly8RCBTZ+GcRUmIME5G93CZyIsuu\n1AK/cvVz/Bv9N/mK+nEc0TpbnhYND6CC1VSwZtvwhUVuB+JMHz2OVRcw94jIZzoMnF7GGyzjoMEn\nhL+iZAX4b2d+kkw7QjkXBAUOiNcZZpk3uReNFgfdbyHv7uAWavSxyWHeIhzJ8/TdUOAfEgn94gAH\n9hV55Bf/Bf71FNN0AcAOx7MdigJdULXjpjV2wFfd/m0Dqg3CdjTIncnm2vb8NXYAuBfwze3r2jy3\nHZ9tbLfb17d/t3mnU1Rmx3EpsxOt3QbeAnw3/pqfK1/ipc/9K25cS7DyP839HZ/ee0fuCmgX8yGK\nBHidkzRxIGFQxcMmCRYY7ZYe1SWoQ8xIM84CdZzsb8ywZiV53nmWldowAaPIce+bzFXv5Vr7CO5A\nCSsjUy970Iba+JwlRMlkKTRKWwhjSCZuoYqIQQk/AhYaLbDg4cZ3ELBIOcOMiQtotKnhpoqHLeIs\nMkoolsbnL9CnbjLEMrvMWfqaOTblODPqJCImbVQm5RlS+y4RUTL4hAoDrJMRy0SkQa4HjhDR0xzy\nXcGvFCkS4ApHaeFAdhnUdznJu/3ESTPAOkGhgIFMHynOBl/AoTUwHQJ1yYVDbPDN9qOIgkVC3WST\nBDIdJHQeKL5KG5WnrD6mJD9hcjzMc9QdGrfF3dxTu0bR4eElz1k6IyqWIaIKHWJSmi1HlJBV4DfM\n30UwDQRHG+HxNs8bD/LnmZ/mVOA8k/I0x9uXmVPH0EMK1w7toRz04BdKhIUctUQJ/UiNTsNJyJPF\ndbDI1i8m6LR9mJYCz4EwoCMmW7TcKq2tKMaiyua+fjohCcsSGBZXiISvMKitk/cFmTb38HHjSV6U\nzlERvfRJmxznIpPM0ETDJTbuhvq+7yV6wOSeXzZJrH+T+DdnULMZMPW3AdQ+nOxY1bBDcdgg0WHH\nsnXSTYKx+P97cm36xAZmnXdGktjUhthzPdvRCDuLhsiO9Wxz6S52FgbX9meTnagTe/GwD8vUcaYz\nHPjdLxI5upvNfzfMlf9XIHvzXeVj/YPKXQFtvaWSbcRY0YZxiA3c1BAxaeIgY0XJW2FWrUHAxE8J\nF3VS9HHGfIOAVeJP+RQ5M4LTbCJaJql0P0ulMe51nyegF2m1nMSsNBEyBMQiZY+X6eZeVtsCfcYW\nHrFKw3QSK2UZYJOWR+VQ9TZFIcAV50H8lBFpUCCIlzLJzir1mocxdRHZ1aEhOXFTQ7AsslaUjBWj\nSAA3NfyUiMtbdAYU3NTotzYY0te4pguESBEPbBKysjzm/AYZIUoVDzc5QKyTwS3UeDN+D3khRJgc\nu5iliYMiAcr4GBMWiAoZZpmgjUqQPIYpoRlNBlvrrDiH2RLj1Cw3HzJeIEYGhxVgnb1YCJziNRaV\nUa6zn73NWabakyyIwyQCGzjEJi6zjqtVpS0pOGjwuPEMpgm3lXHSRyIsl4apbflR3B28cgWPVWWQ\nVTacCc4PnqKDTJI1NJrISgdBtBCWQG7qOPo7+B+VqKYlmlNs/xdbiJJBQChQa/jZzCZYaQ0TJMuE\nMItLruN3lgkqBZblJE7qBCiCxdulYR000ZHJEMMwvlfgxz+KLdH9JrtP1zg2lCL09BtoT8+97VS0\nY6dty9eOCoEdC9YG9F7H5J1heALvBG47k9EWG+xtKsVgB7RtC/nOc3ab/QZwZ9alSJcb710YzJ55\n7fsTAaneJPn060TkPAMnLOqnYwi4yNx8f9Zjvyug7fOVyOb6OBa9TEDL00FBo7XNCbf5lvEIl8Xj\nCH4DWWmzzgBf4OdQnW1kdKq4CXsy9LNOQ3DRXlBR19pEx9KE+zPIfQYH5Otvp7WPM8/TlY+ymHcw\n1lwirmxSNnwcmb7BJLPoewUcRZ11Ocl8eJy64EJH5hqH+Am+wkP1F3ls9kUIG6RjEZ5zneOqcIRX\nxPs54rxKTEiToLsjuGe71nSUTDd+29rCX62jtkK0BZVR7zx9pPgYT3GZY7zFYRYZ5Wz9VRJ6ij8I\n/AqK1GGMBVzbhaoWGGOTBKc33uDexStUj3uphRwEKLLXMUWikGZwM8X84DjXXAe51jrEJ7x/xRl5\nkSPCFUrcyyIjfJSvscIQ1+QDfD74GVKlBLFCht8M/5/sEmfw62USmRxXnIdY9Scx2hINSWONQTbo\nZ5QVPi9+hqzgY1Ya43nngxwQrlPBy4ucYw9TJNjkLQ7RSjlpv+CCWYGsI05jl4uxJ6bJ1WOsNUbh\nAFh+GWVe4Lj3MlvBPpZ272LVM8gAq3yaP2OKPVzqHOdL5U9y1HeFoFbgVfk+SvjxUAXg6zxOkQBB\nimQ7YeD/vhsq/L6Ve37F5OjAJoFfexpps/K29dyiC3C2Y683ntqmG2yQtgHXPm+DsO2stMHUBhMb\nTO3IDhvwe4HeBmfYsbbtBcRuV7fnqgH1nnuWt9vhnRa7vaDIPZ82qEuA/OwC2q0s537vMTwHR3nm\n1/4RtL+n7NamaPkvUZR8rNWS5CtRZEPHna/hy5RpHXCQ9K9RkqvMqWO4tiM2roqHUdCJkkUTmsh0\nWGGIYiRAy9JYkwdJSOskpE1c1Ah2mW+KBIi7N4j5TXxakyB5fFKZuaFRKFnsn7+NuAW6X6I24qaJ\nRoIUH+dJGjh50zrB4/q3ceXrZKwY15OHWNDGaAkaV4UjHOcie9u3ia/kcGk1KnEXb8gncIoNwkKO\njDNEVXETQOSMeJ4+UrTQmGY3GyQ4wlVKDg85cy9eoVttz0eZGGk8VIm2MkQ3C4xUV5ECJhk5gkyH\nfjYJ6gU21CR/HHuMS5UTbJWSNAQXIjJBR5mY1aSGzgpDvMG9tNFICmsUhAAOVwOX2iQtRploLJAo\nZ3AXWuzKL+DLVfA7CtTcfWh6m5OrlwiZeQpRL3ktSENw4hJqvGScY40keTHEhtCPaJjMt8epGzmQ\nRPBC3551wkcy5K0oRW8Qhix4CdyBMv6xHJer91I0Q1gq1EQ3eYJkiHb32JRdeD0VinKAS/l7uXz7\nJCWvn4bfAT6D4lII6uA9VqNR8N4N9X1fiuuwh8gv9BHbeAbvN99E3qhgto23LWzbgu4VG5xtWqIX\naHst8V6npL2lgZ3WbvWMtWmM3ozI3rju3uSd3uvb2yX0XtteFNSeOWzgvzOz0o4ysReotwG8ZSCt\nlfF87g3CB2WSv/8ouf+8QeNa9W/xZP/h5a6Attpp4/VusUk/G/UBMq0Eom7S2VDp3FS4Z/hVYrEt\nJFVnqrQPQbdoKi5uOA/iUuuEyZHsrOOwWqwpA1TCXkxNpK2otFFpopEhipcKYXK0cBB3bZLw6gRV\nkSBFNKFFI+6iKPowCiJtS0a2OozXF/E6SsTlFPu4xbX2EXJGhJQnhlNvsKXHKePDQkCjhYGEu1qn\nr5DBKCqkfXHWzT4uW8e6FIcwQ9nhJ6uCaYXwG6XuxsHSIBtCghru7uYJBQW9LnMwfBPDKeJWKyh0\niJLuUj31EqIKqXAMXVUQMbrJNaaTdTXBRdcRShs+tFYHRa1AR6Ameqig0cRJEyerDOGhgma18FkV\n6h03dAQ2tQRzxgSqbpKQNnG3aow1apRDHloOjf7mJocWbiO4TJZG+jF1EdoiTcXBG+2TZKwY+5w3\nyNUilDs+dFlGcAJRA0oizvEa7oNl1kqDCCGLwEiOSt2HJjZwJStsbiYQLYsJ5zQRKUPN8HCxcy+r\nQpK2qHHAeQNJMMi3I9zKH6ZW8KBrMjh0lIxOTE7TZ6SotAN3Q33ffxKP4N2tsu9wkfBvz6B+c+7t\nCI7eUDzbyr4TvO/kunv72JEathVrp673jrMtXthZBGx6o/e70DOPPca2mu22XkvadoLaYoP0nc5P\nOxmo1zH6Nl/eMlC+Nkdcj3DoX57k8qSfRkp7X4UD3hXQvrB2hj724adIzLOJx1nCZTXIZOMsdyZo\nWE4kOliWwK3bh6jkA5ghkfBEikR0jVEWebTybYJ6id8P/w80NQdus8Z+8QZbxDjP/WSIcZLXOcZl\nnDQYYIMEJgkEYtsJLH2NHE5XncpRBxXTS6ie5Z+v/yHTfWOk/BEWGONo+RqOVpvL4wcpi17aosop\n+VU2SVDBy26muXfpMrGZPG+cOMaF2CkuyvfQFBzsYYpZdpEnxCpVVjnMk/WPEyLPh7zPEqSAhMEF\nTvPE81/l/pkL8JjA1Pg4y5EkqwwSoIhbrXF7PEqOMGXRz5g0T54gL/AgsqrjpczHeIpE3wZr5iAt\nwUHLEviOeB/PCFE8DBMjzTDLrDDIdesgl/V7yC/G8eRrJI+t8Zfuj/FFh5ufi3yBcWsegJvyfgba\nmzxQfA1to43hg4nmPFJJoC77+U70A6xWR0iYKX7c8VW+vPLT5Bp93L/veV6KbbEx2cKYdrBe76eg\ne3AEKyTEFB6zxtXj92KMSiBb7E1cZ5IZ9ghTtEWFq42jPFl4Al2UOOC6zof8z7KX22xE+/nDh36F\n+Tf3ULgahVkF/2NZxh6c4ZTrVVqWyo27ocDvJxEFOHeSsHuJUz//L3Bk8ijshPS1tj9VuhZtb9y1\n7RA06dIPNpdtA629MZhE1ynY4p18tC32HL0p8DaA2k7JO9PYbbH7ONgpIiX2zGVHtdxJ2Ui8k1e3\nnZ29C0mH7luBDIy9dJWJ2+tsnPt9UmcH4cvf+Juf7XtE7gpo7wvfZA8SAhaWKNDQnVyfOkrhjQhc\nFmg+7CBAgaSwhjags8kAa5sjFAJhOi2FairIVPQtor4M88U9CIpJxJmiLamUzAAFM0hZ8vGWcJg1\nkoywhJMGAVaZ5SQ13NxrXcTdqrMu9vO07xGyRIjIWc4Jr/Bt6yE2G30cdVyh5vIjaia6Q2BanCRF\nH8OsEGeLSabRaJOPBnhTPMrXg48hqgYfMb+Op9hEkEwqPi8+ykTJEeMmw9oyhiWRIYqORBk/qwxS\n2u/B6jMR+00qTg9rJDGQCJMlJmZQtTYqLTxUaKGywhBXhKNMMkOEbHcbMzmLhxpDLLO/dZs1I0mG\nKCIuBlklSoYiAYSWQHErQlN1IA7oXLGOUNPdGKLE8+qDpIQ4A6zjoka4kMe11YQYlMMe1pQ+Zj27\n2RD7eZDnOel6k6BVZExYYE/kFpW6l9ulQ4jCJgdGr2E9KtFKqLRVGVE2qdT9dEwnD37k22h9dQTB\nYFhZIckaQbPIc9UPcaV+nIrhJe5M4dK6yVIu6mxUkqRn+9F8TUKJNMWnIshndGoOF8/VHmbh+q67\nob7vI4kjWrv59NzLHBK+g7iSQrbMt4GzN77aSddqtdt6eWfbUu21rnudgL2bG/TGatv97HP0zNvL\neRs95+0xYs+43vvpnee71SyR2UkAsoHbTuSxMzV7E3vevud6E2llk09e+iLj5lm+wkPATd4PKe93\nBbQnI1OM4aGJAxmdtq5xYelBipshlO21X0LHK1QQhixaTY3114ZpaG5afgelfJjzgdMklA3MskTY\nm8XrKLFRGKCs+lGc3Vy+hdYYF9snOOF6jVFpkQ5b3GYvDZwc4S10JFJWHy9ZH+gW/1dTuMNVXq7d\nT6YTJaAVURQdUTbxCBVS9LHBAA5aDLJKknW2iJOJh6nH3cwyzgn9TX6q/RWcjQ6L6jCvcww/ZeKk\nOSm8hqJ1KBt+5lq7KCgBVLFNhCxyokPTryC6TSqyhwIBBKztED4TGR0JHdkysDoiomChSN04ZbdQ\nw0WdMHlkOhzhKnEjR0X3E24WGGstMGoukiim2PR1a7a46k18oTLucJFWW6VjyBiCzBXrKCX87Lam\nOShcRzQMsnoQ90iNctjHojrCC+pZFDp8mKeJdzI4rCYNHExEp9ls9HE1ey9eocrJ2Gu4YzXWGWCd\nAXRk1sojlCthnjjxF2juBin63na6Fggy3drNhjGAS60TdacRFYu3mkdYkYfJVmNsLg0ROryFZ6JE\nI+yGEmRux7lWOYL+puNv0LwfLQl6RMajCh9f/mtGai/wirVjndqgbSfHqD3fbUC0K/TZ1EUvaNq8\nsk0z2PHQvf2+G1feC9q99IhtLdvjennt3rHc0be3GJW9YKg999Ib9dIbvmhLb3x4x9Q5ff1J+txV\nFkdPs5iWKLwPcm/uCmhniTLPo/SRoo8UmtjGjImoP9bE258nEMujIzPDJA2cFAthrEsCpAS0w3Ui\nj2xymaMk6zF+NvSfWVaGuJ4/zFsvHie2a5Ndh2cIkyWdTpBKDdLYc41p724uIxBhgDhbVAQPVb+G\nixLHuEzailHCz6ywC7ezRgUvLwjn+OXS50i21/md2K8TlrPcwyUELMp4WWCUIkFGWWQ305Txsau2\niK/QIBsKUHM58FCjgRMRkwPcYJ1+/M0KZ9OvcSsyScXjYtRcpP/pNMGbFXjAInyoyMDwBgk2ELHI\nEOVbPEILB0PGKp/J/VdOyRd53P91ZuRJVKG7R+UkM1Rxs84AKUc//kKFT21+hR/P/jVqrUX4uTKv\n33cf9YMujoxdZEhaZlhewiNVuM5BLgnHqeLhin6U2/peqqqHbDjCgjfNIekauizTRkWl3eXlGWT4\n4iaJTpbiI25UpU1C22Ay/kWWtbc4yxz7uMVLnOM8Z3BTo111sZoeoZL0scQQN9lPkjWKBLgsHGMw\nuITbLLMmJFGlFqlaP+upEZzBMoYmoe+WKTgDOIMyod9JUfuqn9y/jqOLMoTfn97/vx8RuX/v6/zO\nz/4ui59PceNKF7Q0dpJjbHrDzQ6w2lTFnXVGbEeencxiW6x2n95IkzY7+6zblIl9vhcke61hG+B7\nrWs3OxRGb187WoWee7Ct9V4NMNlJhbfv374Xo+fTpkoMYBro2/0af/rzP8e//PwDfP3SMO9cOt57\ncldAW8Kgjcoio2SJ4JIbdAYFxDWdzjUn3hNVNFeDkuWn1PJDyGLfj73Fen2IQKDAo/5vMGtMYpgy\nbVUhvZ5gZXGUYjNEdPt1Zl6foOnUiMZSLIkjeMwKXvMyH2l8k6iYZlUbRJE75AnStByYgkjeDPGa\nfoqIlGNQWu3GRzs8VGU3E+Is+zu3mDDnWVUGMEUREwkRkyoeinqIE/lLBI0SaW+YmkNDkjvdkL92\nlau6wIucI0IGh9zmkvcootKmP7fJxLUlnK0O9TEXc4OjGF6BydIMQ9fWESWLXCRLcTBAzekmYmWJ\n6lkaopN5a5z+pS0capNmv4PBzAZS3aJlqFiqgCha6F4Bv1bCX60gS3C8fQWxaTHvHEYQLbKtCDfT\nh/C6yzwUep4lRkiLMeqyi2VhCFMRqSkuynhJ5/q4tHIvhVEfg4EVXDS4nZzkhrGPrBjEQCIuplhW\nhzFFET9l3NQJkSdMrlsiN1hHbTZ47a3TFPUAKUecZ8YeYzi0SFJbZVaepIYLFzVMROqWi7Lu365J\nYWE1wSXUcfmqGEGJ9pBKZ1OFMCjDTTp/dDc0+D0umojziRHkeIHyy3OU0tCwdixNG6B761nbFnGv\n9dwbFXLn5ga9c0jsAOedaei9NUB6HZY2DPZW+bsTcO23AdvC7q3PfWdVQLHnsMfb7Xa/XprGnreX\np7dDA5uZKtWXZ5HPfhTH5AjNLy9B570L3HcFtEVMHGaT2cYkTqlBTNtCSTSRlzq03nDSN7mFq69K\njghqu407XuPIp66izOh49SoHpBsIqsWakGSWXcxkd5NNxwlEioR9WRSrw7wxTr9/gz3hW9zW9xI0\n84yyyE+2pmgJGq9Ip9gQ+8mJYUqCHx9lGjhJ63H2mtOMNJeo1LzggJrLwTnhRQ6VbxBrZlFi/4Se\neQAAIABJREFUbdbEAYoE8NDdybxghDiRu4roNkkngjRx0N5+UQvoJQzDwwVOc5w3kTSTi9pxDnAD\nz2aN9i0nzSEP63sSXBg5Qb+6zp7UDP1TaQxZQmkbnImfp+50IgsmkqwzoxzkOeFhfj79Z7icTWYS\nowyUr5HIbCG0AA+sR/tYCyfIekp4azUYMDmqXaOvnuI7rTNc0o5wpX2Miytn+GjfX/GB0PM4aRCT\n0lQlDysMkaIPn1WmZAWYLu3jpaWH8cbyBAIFBCym9kyySpI0Mc7yMgOsc52DSC0LV6VBw+1EFdv4\nKbLECFbERJLavHnlJO1VJygWz7sf5iHPt/gp7ctc5yBlfPgoYyLiFBu4HRVktYXYMlHbFklpDUVs\nsFQYxxwWUcNNpKSBP5rr7sr7Iy0ykuxk9KwTd1nh0u93W20OGnaoD9gBULGnjw2svQBpi+3E6+W1\nbd7Y4J0A3Tt3b52S3lBAvWdsL11iH/YGC62e+3bwTgu99/57rfg7a6HcmY1py50LRHUVrqyC53dV\nRibdzDzpxuw0ep7ae0vuCmhvkMBquqhcD3Ew+Ao/NvkkXxGeoLnXSTvU4szAy8h0mGWCe9yXCGzv\n3t039Aw5M8J/4TPdolPACkPUdjkYG7rNB8TvMO6cQxdE5tVxjnCVj/EUb0mHCQoFUkwTFApoegdv\npcoF970U1QABCvwEX0ET2xS1ACdzlxleWMV8TULZ24a9FpV+B5HbRZQNHf+HSpwPnOYm+/lxnqKE\njwvi/XzJ9TM84vgWP8OfcJl7mGeMCl4mHbMUlGuc4TyLjL69y84l7iGdiFN/wsWyNsSSc4SCHKCJ\niidUwfPjFf4/8t48uLL7uvP7/O7y9n3Dw8PeQG9A781ms7mKFCnRlEWVl0i2RhM7YyeeJFPlymQ8\ni1OZqqTiymScSjw1k7imKmPHsccqWWNZlCyRFLWQbJLNZu8b0Nj3hwe8fd/ukj9eX+I2SNmyZTfp\n0qlC4eHid3/3d1E/fO+53/M958yIw0w7Jxn2rgDQlZ0QFayKAQpyhGtTR1AkjRVphIHBTcKBPO6s\nhhGAasBDVsTJOJxE/QUi8SrFqA9NFzzz7ptc7zvF1egZGm0PRT3MCqNs0U+UPBMsUCaISpcwRc61\nL/Jw9ArRJ3MU/GEkdM7zBKP0miN4aBAnyxjLHGaGi5l1jlyG0sNe3N4mblrU8VExg9RdXowzgGzA\nokAWOl3ZQZkA4ywRoEoLJ0m26bgdRPtzbClJFHeXw8dn6XNlKBXCzL99BNdYk/DJPGFngWFlla8/\niA38sbYozuYgv/y//wGT2oX76otbgTfYBTg7VQAfLKlqJa7o7KaC24HQAmKLBrE8V6tEq1XHxA7C\nCruqDSe9ZJm91IZldomh9SbwYaVbLXAXQNW2Lu6t2apnYgG6VTtFoleH2+LkrWM68KXf/UNOyIv8\nj+3/nBbrfFyDkg+mNGs5SXt2lEbZx3ptlGv1hxia2MATaJD3RCmokV53dVMnd7WPvJnAdbLOYecM\nSrfLYvEgR3032O+eRUZnx5eg43Og0kalQ4QKz4nvcoA5EuxwSlylhYsF4WPD6aJ/a5v4TB79rIKS\n0jhgznOkOYOJ4Jr7GPF6jqFqGhTIe4IUPUFqwksz7sFUZMqOAH6q7DMXGTVXKYsQHclBLLSNrgim\nmbynDlFwiA5pOUVGypAhyQqjpEnRwMMnMuc5VbtBv7KNsmTgN+qUH/LhcHeoOgKU+/z4l2qMLy7j\nOtLA1Wzh2WnjDdWZDRoU/WFW/CNEKBCgwo47gV+qMyBnwGkiO3uAG16t45ztIm6D/AkNz0CdaK3K\nsfhNzjjf4z35MTxSL0XcQKKGDw8NwhQZ0dZ4uHuFfjIYHsGAss5GJ0WmnWRVHWFcLDImVnDQYai+\nSZ+Ro+F1UfIEWYjEGK6uokoawm2QIo1LNImZOa7XziDiTYKxInlXlGynj1uuo6Srw4SkIg/736ON\ni9XNUXLvJIg+kic0WsShtnrhYNcmxcEYmWQcNdjmBNeI8ndHW/u3ZQPHq5x4eom+b84irabf95Yt\nILaKQNmlfRZYWrI4y0u2l1y1g6Tdi7V+tnvQFlVizWUPXtppFXvNkb3yP+thYj9XtZ1vHdtLzVgP\nC3uhKXvjBMV2jl0fbt2/XcctL2+SmJjlE7++ws3vNUjf5GNpDwS02zUXjRU/7lCThfJ+NjYH+VLy\n9xkNLLOt9IoztXESNktcv7GfbaMPMdXB66rj0jqoZZMxdYWH3e/ho8YS+1hlpFeHmxBJM8Nn+SYK\nGm3hYJg1NruD5DtR1lQFswSxyyWKB4OIlMEwq6RaGYpEKLij1DUPbZcKU5DdFyUdTdAxnRQPhKgL\nL07aDLLBFLcZMtdZZByfqHJUvYWQTd7icbzU389otNY2zSQVAmgoNHFzducSL2a+heGRkN6dod1R\n2R6PMKfsZ0ftZQSOrW4weWee9bEkwUKFwZkd6IeZkUmED7ptBx7RpM+RodH2kjH7CAcKSDUDb6fO\ncHed/mUN5xUNrpp4JpoYfQJJGDzsuUg95GTTP8ygvMmBzgLr8gg7UoJ10dOIH9AXONhZZMsTY0tN\n0jKdrHWH2WCQqJLHLZoMGpu4um2GK2lcRotZz37m4yrhiQkOrczjEl1Ud5dDzGAKwY7Wx9LWYZz9\nDSZOzXJr+xTVbpC75mHmSkc4Lt1g3P2n3BTHSK8PsPzSfh4deJ3IUIFMp5+D6izDoRWePPs9LnCO\nvB4l1d7Co/ykF4xyMjaZ47O/uoh2I8/G4i6QWUBrmaUcsQO3XcUB93u51s97Ad0CVSf3e/IWkWAB\npAXs1jWsgKLl4VqyQSuI6WK3trYF4hYnb5fqWeBuB22rPredr1Zt3xV63rj1gPiw0q8SsGGAPpTn\nM//VecrpMdI3Q+yGNj8+9kBA+1zsHaYeq7KuDjOvTbCqDXM1coJ9LLGPJVy0CFEiLmUZ/ql1LmkP\nc1U/wbwxwahrlZ9JfQUcBm/xONv0ESNHkgx+qgyzSj9bDJo9RUJeRFHZ4fDGLKfmNY6WVBYOT/BS\n/EWuJE/ioY6bForfRGAQpkB5wMtCfBjdlDE9Jik9Q7hZ4VXHc9x2HmGEVaa4zRjLlKQgZQLUmj7+\n9PIvIIV1EkfTPMbbRCkgoZMiTYwcQ6zTzxYJdoiSY7J/nk5Epej1EVAauDId+mYLrOkdskNxppnk\n0IlZTkzcwB+u4HHX6DpAycNIe43nuy/zyJ0ryC6NjUNJDk7Pk2zs4E004BtgNtvEdUHpsQEKI0FG\nP7mG4tUR6yCWITBQYdy9wKcnvsUj5UscXblLMrHNZe8prqin8VFlSR1hSR4jIyXIkGSLfuouL5Pc\n4aelb7GPJUL1MqMbaXxqnS1/r0SuzhKxeg55Rid+MMvBvjkUNCoEKDtDiEMaQV+RCXkeR6wLwsBL\nnU3GuNk5xv9a/E1qkhdjVGL4f1ggM5hgvTxEYb4PY1Rmo28OPzXqeNmsDvLHN3+Zc4M/yX1rFOAo\n/u9fZnjpPKW58vsUBOx6kfYgnr2QkwVUFqXQ5oPND6wsSrifQ4Zd+sTOYduTXezesMVvWzLDOruA\na63V3tDADrqwW6LVqiroYjdt3gp+WmuxvHfLg7a+O/igXNCeBm/RQMrVHJH/4nWcS0fpdWC/vvcP\n/5HbAwHtcXWBZ8I7XFIeIixyHOY2HZw0Ol5utE/00pYVnayI0xhw4dUrJDrbuESbrqxS9XjJNFM0\nW27inm2QTHLNGGtbY6ypY6z6x3nC+zq6IlMiiJc4w6U0wZ0KxcZ+SkNBPMEaI6zgo0ZEFMiqUZy0\nOchdGh4vC54xHHTYoQ9vs8nz2e+TDG+TdGYIUEFHYUck2CbJsjlGVsQRQQOPt4aHBh0caCiEjSqD\nO1tk0xkev9FCHu7iDdeIs4Nfq9EynGwG+qlO1PBFm3SaDgrOMLopM2Ks0g46uBo+QYwc42IJf3QF\nNEi6tnjEfJeD0golOUCaBCHKBOQKukuiOuRDayvoW3X0uMAwBGSgLAcoRCPkjsYoJgIU5BBDgVVi\nxjYIA4fSpi2cbNOHhM5aOcZs/jBKf4eK6merPYDhAFMVaMh4200cHY28J0zJ5Sft6ScnogT06ySl\nOm8NnKMd7L0ku2iRJUZZDTCYXMOlNqgKP5JTo5804/oSN8QZduQEK8oo7SU3PkeN0JEVcpsJSrNR\nmpf9zPZPUj/gY+TkEm2nE0OXWasO4qn+3aoZ8TdpksNg4jMVBko5Gj/Ivg9ae5NTLLC0e6MWRWEH\n4b3NdO2dYqzPlgdv94btgUu7wsPenMDufdtpEJnd8qr2twK7WsXuXdtridirBlrHrPH2mifW7+yU\nkL0crP1dzQC0Yhvp3R2Gn8lyIFBh6RUT7WPmbD+YKn9GmQGtyrw0TlTO0W9myNDHDzqf5LuVT+NT\nahiK4ALniLODWzQZUDYJaDVabRdvG49RrMXpJ8OnXS+TlyJMN49wZfYcDZ+X1OAmhhv6xBYCEx0F\nT7eN1iox3z5AV5N5XH6Luu7FQYeIXOAKpzGQeNR4hzelJ1gVIwSo8DqfQOmYPJq/xKhzGSXcoo2z\n1+Hc2EemnWROHKLkCPHIsXeJiywSxvtBvKBRZt/mGpsbmzxzcZm7vnGy4QgrjOItaigtnWy0j2I4\njBQzKBFkgyGcRpvn9Ve4IR3nTelJnLQxTIWU2MEbaRFxFHCLKt5Yh6rsxal1EDETTZJo9its/3yE\nlnBR+fIOireLZ7mF+p5J4VyY6RMHuDM6RVkOIDDpZws9BJlQlDQplhhjnSEkDNbzo9yaPsVB/y0M\nn0y1HMQRaFKWgtxRpniscYkuTq4PHUGWuve62niJ6nn6XTr/7ux/g0+qMs4iDjqUCFOUIxwIzlDF\nzzpDdFGZYIEj3CapZNiR47j8NfLzLnTDQXfUQX02SPNiAC7Djj5A95gT76EqilMjLBXJu/uZZvJB\nbN+Ppakug8d+6QYTS3Ns/mDXk+yyW1TJCsBZnqlsG2N5v3a9s10u12E3uGenEOB+wLYDsV01Yk+H\nt7xrC1gtswcT7cHRvYk3lldtUTqWdwz3vzlYa/kwUMc2znq7sOazzmvdu+8mMPnZu0gjLjbOu//u\ngrYQQgIuAxumab4ohAgDXwFGgBXg86Zplj/s3Glpkj9zHMIr1SkR4l0eYUHfT1gt8t9G/w2r6sj7\nKgYTQbaaJLMxiLyuY2RkGnkPqSfXiR7d4R350R5d4buNeVqgKzJuV5M7yiRZYgyyQYAqxgSIYzrn\n6hcpbIUppXyMbW7gk2oYKZ2EtIPa0fFVuih+g6IrzAyTrDJK0FPm7v5x3K4GOjJV/OSJslQe583v\nfxLXUINHzrxLiBIOeh3PlxnjNkd4U36S+Yk3Ke5/lePPa6jRNh1UXudpQrEmx7K3OX31JjfGJ7mW\nOs4Mh4iR54CYo6b4GBQbPMdrdHCQV6N8xfh5PpP/DrK7S9qdYHxjjVizyMnobZRkm2rAQ1NyEC8U\nMZGQTIPwUgXfTgvpEYNUcwf/+TpT6jxb43E2hvpZZow8UWLkUdE4xF0kDG5yDFd/g5/yv8RU6Daa\nLLMQnWBHTZCS0nyKV1n3JckQwy8qFAizxjDz7Ge/8BKUVnmG7/UoFbw0cfeCkTRZZ5gIBUZZJU2K\nHDHelJ7k2cgrjIgFXuM5qENjxcd6dR9tj7u3s/p6uy7UKfKo+Q5OWqy6RtgYHsThl6j+mP8AP86+\n/uhMRW1IPPXb75Cq3eU299fHtjIe7RRDk17qurLndx3beXZFCbZz7cE/u31Y3RG7nM4KaFrUiwXE\nVl0TK3XdTm/Ya6LYu9dYnLmd37aua3/DsAKT1oPAfh/sGQ+7csKW7bgJnPr9q8Q8TV6qforGB/Iq\nP1r7q3javw5MA4F7P/9z4Lumaf5rIcQ/A/7FvWMfsG0pSVaPM79xkK5bpRF1MVc9zCF5hkHfOpcr\nD7MpDeEMNPFTwyV3MJwO0vlBKhsh0EARXQxZcLc4heZW6XenkRK94klxPcdAM41fqeJ1VfFSR613\nkSoG/Y0dCAryBPF366hShy0RQ0GjJdxckh+iLIJIGNTxUC6FaWpeZsKH2C/P4aNKF5Vb7WNMt6fw\neyscck8zKW6xRT8mAgcdgpSp4aUowoiggerp4pI7OEQLB10MJDp+hZruYbsdp6m48XXrHKwv4nC1\naDldvGI8j0u08Mk1nLRwGBpuvUrN5cFltvCUWsjCwC3aqM0ul9Tj1Nwe+sgwIG3jMho4TAWHaiAF\nNQiC+7Um6nobz9MN5tUx0q0Bhrc28fkbVKIBQpQYIE1bOEkzgN+7win3VUYba1R0Px5PgzpeouQZ\nIE3JEQJMwhTpohKixAireLpNAtk6Jyu3CCUq5PoiRCjgb9UY6ahoHpWMkqRCgCoBJEq4RZOwK88E\nJk3dxfLEftKuAfJqFFMR4DEhasCOoFn2sDI7jiPepur2MRpZJugp8eaPs/t/zH39kdlQHLz9tBbn\n6eZz72utLbrDrqbYm/5tmT313MqchPuDkhZvDffz1gr3e+d765TYrwEfLEZlD2jar2mBq6VC+WH1\nT/Zee68ixKJlWrb1Wr8zbF92GsWx53fadI52pIZ59jDcWYECHxv7kUBbCDEIvAD8FvCP7x3+HPDU\nvc9/ALzOD9ncdbyE2mW+eutLJPvSnAufh5xCwRVn1TPC3NYk22qCVGCFcRaI+XJ0J2b4wZ1PUQ0E\nkEc09LhMreVnZ3OAVp+bDfcAChoJfYex1gpfzP0nhK/LuqsfAHVeR74u6H5KoeNTMYSE4RGU5SCz\n0kEkDDKOJC9FHmKcRcKUiJFD7EgU6n0s+CcYFqvsM5fwSg2yzQQz5hT/8Jn/i9OOy/jNKufNJ3q0\niNTlMDP0s0WWOE9wnoXGAofuaOwcC+J3Vzhm3sTtqrLSn+L7/c/QxzYna9c5np7hRmyKl6PP8R87\nfw9V7jLOIvulOT7d+T5Ptd9mMT6EURFMbK0hYgY6Eu2uk++pn6SKl+d5hZCvjEtv4NG7mAMq7Y6M\nUjEwr0J7WSH7KyF+0Pck04Up/s3Vf0pjzMFydIgJfQEhTBzyAAeYY8Jc5CnjDfyFNsvKKJueFIeZ\nwUWLOl72sYSPWq/HJRpBs8wBfYH55g7+5Tb+G+u4zzbJJ4J4qRGq1zEqKpuOFEvKPm5wnCxxznGB\n01zhKqdQTI1fFF/mvScf5iqnuC2mKN7oo1HzQrKLGFXYmU/ylbe+BP2CxL4MTx99hcNi+scC7R93\nX39UJp/sh1SDK2/foJ4BP7tALe/5ssqx2oN+dk7Z0mU72fU24X6VBuymw1uUhl07bQ9AWmZ5z9bc\nlpnsFm+y0yd2usbeod2iMqzUeqv6n2V23tykp8G2wN+uDbffu11uaN2rY8/vZjW42xdE/pUziN95\nB/PvGmgD/yfwG0DQdqzPNM1tANM0M0KIxA87eY0hXnU9xPjpu4y6VnDrTeSczppvmNf6PkU2Gyfk\nLDM5MU2SbWR0yoTQp0xSoys8GnsHLSxRdfhwDbc45brMAJtc5zjLd/bz58s/y519pzjqv8Ywi9zm\nCJNHZ2g9/k1+d/JzSH6dKXGbXDiEJhRkdBaYYJFx0qQ4y0X62aJAhJ/q/yZBvcJBZYYDq4vEKyVc\nB9qc8l7GdJmMKwuodNG7Cs+lXyfj6mM+OUYHlTg7jLH0fnYfOpimRLRZ5Mncu9QjTmZ8B7jBcQbZ\nwFNvMTUzT+VQkFbcxTnnBWY3JpkrHGHkwBotp0pFcpHQsmSdcd4YPkdKTmMgsWX0U3IFAZMaPrqS\nCm2BUgPPa1rvnfQsiGFwdTX6cgV+IfBVSsqrJJI7NIIOHHqTUKlO1+nC769xhRSRdhl/tY3SMGh4\nPGwywBwH0FCQMNCR8dAgRbpXFqq8xcG5ZXaqVYgAp+C7/c9y0TzNr4j/h6yvjw3XMCG1iIc6OWIE\nKFMgzEu8SIEo5XaIl+qfo6wE8TlqPOk6z9LoBDtago5bwf94HW3EwfLMfrSOg3ImxNvK09x89zTw\n23+tjf83sa8/Kvtk4jXGRt7m6M0NYFftYYGqXTJnrylteZ7YxlkUiUVNwK53btEsVuDyL0rstuaz\nxloA2d0zxgoUWoFFa06Lh7dnXFqUiPUmYQG0tUaxZ04rbd16KNgfJtYDwZ4Zal3HUqZYa/TeO34k\nOM1jp/4Rvx1scYtH/4K7f7D2l4K2EOIzwLZpmteFEJ/4C4bujTO8b5u//XW2/+hdQs4S64eiBMaH\nKOX+nLrk4+brOu131zAdVe5eWWPV7PUblLyr+DozqHRpOtLkRIyCEaZjOFmQFslLJVZoszG7Qy6d\nYHHCYD1a4qAnS4ZpMuTorqsEvrOC36xSM5dx11rUhI91f5MGC+Qos0KBb9AkTpc276Ggs4POAvBa\nNoG36SVxbZuM4yo1MrxMGzc6zk6X7raXjqtFO75AjigKOhHyzKCyes1PvQLyUhdFKaF0DKo+DxvO\nTdKcp8sOVFcprWrMre1w98Ytqiwj56/SVzeoX5/jGqtk2h2EapJTG2SUOn00kQ2Dsilx2VxAEzI1\nqcYl00VIC3L7Sp3uhkFTc7GZGyCZ2yGmF+DlFq3YLC2nyp2KSs3ppuMSDOZNms4K6fASWQxudgr8\nftuJ1lZYUGUu+IsUyxISBtFQDp9RJWRWKBtF1pQq7lYL57bKxdsJrvpSACzf1am6b/N10SEjIqzg\n4xhL3C1Pk6724Q+XabqK5OUSTdxUukEK7QhRKY+s7NBQM9SMCZpEUSWNkNhErWu0NsbJ3snT2lhh\nw21Adm+Y6Ue3v4l93bOv2D7H7339bZqEdmmR5twN5lcNKuwG6+xdYCxAbrPLd9vpCrtm2xpvr5lo\nl+rZKZMb7AK4HcTt2ZF7i1FZX9YDo8sHHwB764jsLU4lgFt80KO31mXJ9vbWRLEeXna6x851271r\nay5Br72Zc3mHid/5Ft2lIXrs2V+yFX5sy977+ovtR/G0HwNeFEK8QC+W4RdC/CGQEUL0maa5LYRI\nAjs/bALjM/8EHv85gg/PU3Z4mK0mCUWKOItOKjdi8MdQ9kP5S0AHRhJLPHnyNU5K13HRYpqzFDhF\nqTtBuRoE9xYhd6+zeed6H9JaEPVkjVi8j0mXyjnKSPRzk3H+8ReXGDQ2cHbauK/qXHeM8ocPvchz\nvEUJhd/nOe7yBVrmCr/EH7DBIHfFIeaZYNMYIGbm+OfSv+Kw6DJv7uMNnsLHOkOdVf7v5V9nwLvO\nC0Mv8T0+SdV04WeNLkUEbxD4xSCfSL9DxMyzlhrAKzWomS1O0uAAacbYwGHAFRHEJQ5yXjzOF/g6\nXzL/CAMZ93oXZ1onfTjOTjBC1XSyD42wVkRvV/hV41+yoQww5v5TAlSJkaPiuM1TX+ywYE7wp/wz\nfi3/e3y++jUAcmEvW6E4awwzywG0uo9PTf8xSrjD5rgDL/PoyNTEBHmibPIoOe3zZL4zQkpO89Cn\nvs4Xm1/hVOsGsgZz/jFuuQ/3KI3fh1de/CcAfMHzFf6B68/wMcBLfI6MeIL/jH9L7fxZam/+17Qe\nbrJv/G1e8H6bVUbJEaMjHHyG60TJsWyOkW5+lqw5woBnmc+LP2GMDd5lkFdv/QI38idxHamgrbvo\nnPL9CFv4b2df9+wLf93r/zVMAB723+xyhGsMmL3FWV6ym90KfhZ42akSyxN1s1tP2y7Hs3o7YpvD\n4H4wdQCfZRf8rC+LQ7erSuwetQX+Vm1r68Fhz4i0ANkC7L1JPyo9LsvioK0ApU4PZFt8kDu31mQl\n8ti799ivZ5/LAMqAexOO/p7BV4kAp9ltMfyg7H/60KN/KWibpvmbwG8CCCGeAv570zT/vhDiXwO/\nDPxvwC8BL/2wOSYG7hI+fpm6z01c1BiVl1GULtVgkMzRBoVfjyOcJsGpPI8ZbzPmWsItaiwwQZZY\nr3cgXpytLsaGE39fnYPuWWLkiI/kcMS6LETGCasFkmQwkHDRIkCFImFMIfAoDfqHs6TkdV7km0wz\nyRwHCFNknEVoSPz79D/ikfjbHAjNkaYfRWh0hUqGJBIGm+1B5lammNZP4BV1Mmv9mP0mF4bOoSNT\n17xcbJ9l1LVCmRVe5SyxcIF9LLItkiTJENIrPNa4RMYVY1Y9yIS0wKi5gmn2dNAhUaJAlLBepBr2\nsuXxo3ugQIRlY4yR4iYuQ6fjkjjjuMx+ZY5j3CSVy9I1Vd40olxmAEery2/kfgfV3eHd+Cli5JAc\neq+SHh6cdHA4i2zti9F2OMnpEU4VblFUPcyHJ+gnwxgrTIlpGvEwWRHnDe0p3GqLqhHgydY7/MB4\nmmsc5Si3eEJZ4qRvBwWNLbmfr3d+hp1sio5X4WB4lhAlJg7O8kzkVTZS/WguldvaUWbuHkV3SKQO\nrvMtPkNXVyl1gyyn9xMxizy17w3aspNNBjjGTcpDYZyJJqbfoH90+69de+RvYl8/cHN4YN+jZOpF\nfOsvEeB+igDuB1CLp7XGcG9cwDbeOmZplu31t635pA+Zw5ICmnwQbC0e2WRXRmeZJbmz0yD2krBW\n2VS7/M/F7luEdY5d9WJx4Mq9z9b1P4yGsdZv3Y9d7WJ54k12pZGLQD0yBInHYekCdBp81Pbj6LT/\nFfAnQoh/AKwCn/9hA0PBAu5YnWw2RtzZYDS6gsCk5K5hOAX1p7x0Sw6ktIFjqIUj0ELQA6occQxk\n+tgmKCp0ZRcBqUJSz/Bk6y00WSEd6MflaNKRHOyQQEMhSh4DiXn24xM1BuRNArEaoW6JE5VbvO5+\nmjV1mBRphlinYfpYMA4hmwYJdjjJNUY6G2iGyqpzhKAo4zJbaLrC6uYY7bwbFPAmK6SNFHpLRdMU\nHKKNjxpZzcHl2lkec71NQs0go1PHi7vdZjS7QbvtpCT8KAETR6CLy9vCRw231kbXVFalEcqeIHW/\nlwi9euMqGltmChMJj1zjpLiGJmSGxDpuU2PVGGGZPkLs55A5x7Pay9xSD7PpS+KijoIYx/q2AAAg\nAElEQVRGFxU3TYKU6SoqW9E+BCayZlAx/Gyag8xxkO495e8xcRMt6WKdIar4uSsfJKVucdJxg7wc\npmM4OKjNkxNrnHTWKRNgujPFO5XH2UiPcTBxh6lwr4hDJJFnKnqTUilIfj1Os+pju9JPJJLHT5US\nIdJ6iqXWPoaMLR6SL3OWixSI0MHRa/wQyhInQwMPLvlv5R/oR97XD9okr4T/E370NTeF9V2O2k4t\n6PQAy14DxDJLd22Blb06Htyfii5s59vn3luKdW8Q0q5WsQcq7ePtHLU92cZeCdB+TWsddoWI1Une\nuia2MdZ17KqZvSoSc89nuyLF+rvo9EQj8oiD0MN+KhkJw/4E+ojsrwTapmm+Abxx73MBePZHOa+B\nm3Rjgvy7/biTHeRHdVz3cvpbuEi7UlSXfWT+0xBf//s/y9BDKzzku4yEwTBr+KiSYouO14HzUBtF\ndHG2O5zdvsa/b/xD/g/pv8M9UsbvLhMQFXzUGGeROiu8wVPEyfIo7zCgbhJqlAlmGuQH4tSCPp7k\nTZy06PNmODgxTVPyoKDxS/x/xKpl1psj/FbyNzgm3eCk6ypXDp2ivBBg+60heAFcsRY+o87N7GkG\n1XVe7H+JUVb4047JrY39lFIRlGCXUZZZZJxmy8fQ+jYHri9ilkGaNLh88gSXxs8ww2H2NdcJNht8\nI/wiWSnaK1TFEkOscUZa4wfRZ5A5wkmucax5G6feouT2MxOb5B0e47pQCZBi2LlOq18CxcBJmxAl\nKgRo4WKE1Xsp5Ck2STHGCvvkJW4mjnJLHGOWg9zlIOMs8Yi4wKGBGVYY47J4CAcdCo4QmUiEfWKe\nEW2Fs42rvKPFucQZ3uYxbtROs7o9jpGRcXg6OGmTI4aMTqRbpDwbZfn2BPKmxuAXlhk5uHhPwVPg\nrn6Yu/XDfDr1bX7a8032iUXaOMmQZJpJMvRRJsAOfdxsHfsrbve/2X39oM0R7LDvi7PEL27Q+fZu\nyVFL2menQyR6HqO9Sa5FhzTY9cDd3J+YArtBQLvu296yy8Iti6bYq0zRbOPsckR7gNQCVRf3Bw7t\nAGwBv3U9yyu3jtuDnJZXbXn41nzWA8Ou67b03y12vevOvbVYQUirSiBAeLLAxC/e5fbLHVolPnJ7\nIBmR2/kURteNXpNJbwxycfpxIsM7OH0tNBR0Q0Ya0VG+0ME9Uafe9XNx7gncySquYAMHbaaNNg46\nyFIXVXRpqm7mY6Mc0y7zPxv/gnCzzJoY5IZ0lNtzx6n4wwhm8TBG6J6cb1EaJ+0dJNhfIW3202h4\nUN0dBsUmstBZk4eZyC0z0lnDnWiiODukxDp/T/zHHhdoNvkvu/+BC1MzXIidIzmcYSy8RL+0SSyS\npy55yYh+JljE56iTSG4w7T7MoL7GZ7Vv4lZa6LoKLZAdBkSBftB8Ch7R4FO8xmR1GnexyX7fHC51\nkA4O/FSp46NgRDmRvY1fqeKM1pl2HKYkgrRxUJaCNHAjizYrjPKq9Gk21EESYofR2ir+1RaLsQNc\n6HuYbfrIFAagKvEzfV9lNjfJ7639GvlwjII3QtkZQHJ3WHcNse4Y5KS4Too0z/EabZwMtLfoqxao\n+YLcdkyScad4V9lGNZ9kwZygqIcJOCs8NvUGz1a+xyMXL+CYbHLbP8W6MkhgX5Fj4cv01XdY6x9g\nfu4g228Oce6583QGVBRnl20lwXXpBAtM9Hpq0pMQHmCec5138RS6vOM4y799EBv4Y2J+UeVFx0sM\nKbd4i10aw5LD2YNtlidpUQ1WxqS9xof9n98CQnto155haNEadk/WkgjK7CbuYJvDCo7KAlrm/Ukx\n9qCl89759gClBewWyNtbh1kPKMsLt3hqixbZm1lp3ZedU+9FB3oSQXsQ1rof2TZ+Qpon5fgGK4zS\nel9j89HZAwFtdJDRwQHlRoTGuhcp0SHpSxMzc5xpXyETTrI0NopS19HLKpW2F92AWttDtRRAeE18\nnipDrOGlTlt2UPe52CfmOKZfx1dpc9k4RY4I5WYU4dCp0MJNA5UuJoJOx4khFAgZaHUJb7fBsNik\nT93GFIJ6x8++1VWGGutkwyGaDieSYjIuLdx7RXcyZU5jDgMTOl5qJNkmQoGUf4M80fdbcxlCQnV2\n2Jb6esBjDqNqOn7RpBlyIoZMVFlDHxA9HTkSEfL4jBpCA9nUiWl53HqLsFpiXRrkLod4unseJ22a\nws2aOvi+BxvOlhkw08QNAwPB3fZh7uYnOR68jqpryLXLiACUCHGRs2S0AfydOo+aSe52DvO92rNo\nHhW32sQvVag5fZgmOOkwyQxxM0s/W7QabrytFpJmEuxWURWNO45DlKUWESQEJhElT9Rf5HT0PQ4v\n3yFRypLVw2yRZEkZw0zqDCQ3OWTOkjeDVFaCiJyMu90EWcflbrKp9HT4PmpkiVHv+nBWu3jcLSbE\nAvu7q6wbQw9k+35czK01ObtxmVBulQvsetT21317Crg9C9EOQrALinYQ/TDAtubfq/awj7cXerKD\nvAyoYneMZfY1WmtxCaibPeC2OG9rbXYd9t4ApT1Jxg7wdkWJ/W9jD4Tau+Qo7Hr89r+HCfRXtziz\nfgWXloSfFNCeiM5SdBeoD4bRck6UtsaYscoh7jBkrvN0+W0uyw/xT2P/C5XpCGGKnHjkPZxqm/x2\nnK33xvAeLaONKawwSow8w+Y649oiuiSxKg/TCrlYYgSXaPKrJ3+XAbHJ96/u4EKliYdlcx9Pld8h\nLu1QjPoY8qyjNg2ezb7JZiRBV1b46dx3cN9q0akrdI45aATclAlyk6N4aRAWRW64jmAiOMItLnKW\nbZIEKTPDYVKkeYo3yBIn0/WwuT3KgcQcZU+QP3b+Ij9X+wbDyhJbJ2IkSgWC3SqtmEzV4WaTFIuM\no/gFTnmGt9VHmWrO8kz9NdbDSS45H+IN6Ul2UnGG73VaF5j0sY2PGieuTNPWHNw2BlA5xK38CW69\nfpKdkwk6+1We3/8a4655HsXHPPtxRtsoEZ2vyj+HPGxwJHWVshRiRFrhmLjFO+IcLtHiYd5jjGX6\n2GbUWMGV1mkaHlb3pTjXvsCx5i3e8j6Cj2nOUOT74hmUoEbUzOOUmsztG2d2ZII76hQzHGaZ0XsP\nqAIyGj5RZXLqNicmrvOC61usyiN8w/05MiKJieAwMzzMJYq1CP/v9K9xa+QY7ww+wunUVd5bfhT4\nnQexhT8WJtcMQq/V8a73qEU7J93gfgWIvYiTBX52wLN7oPZ0dwtw7YE/y3u3quxZZnmndg7czgnL\ngGbeX4wK7ldpqIAigSqD0EA1d5Um9qQgi86w9NSW5231pbTTO9j+LtbbhwX6du/cUozY6Rb7Mcsc\nixqBV5pI9b9Iqf7g7IGA9lpmDHEjxIm+K+TqCVZm97F+YpAkm0xK02z3xZBEh+flV5jed5QmLjoO\nlZZwgt9gavI6kUgel2hQx4OOQl5EOS8/QVxkcYgOLtHiWOcWh7tzrLoGeUse473OBt13nqfPm2Ho\n2DprvhQZYhRFEI+oIxyCN0KPMVpeIWhUSPsTBM+U8bQaRPUy6W6SbUcfO/RhIvCIBm6aeKnTRWGT\nQZJkmGSaxr16ZVnijLLCQ0qRZyK/xbR6iMvth2lWfEw5Z0l4tqg5PBASdKoqoaUy4/EVHLEukmYy\n3lzF3WgxFZ5GdXa5Jh1lVRlEwuCnxCvE5SwKGk3c3OIoASp8gtfxDDeIF/NM3ahSzmfZCuzwuZNf\nQ0m0OVicw/12G+2AIDqVZ5I7OOReV/gKAapKgJISIkOyp/4gSYIdAlRwmS36zS1SrQy+cpuMr48r\nnOZrhZ/joPsu/a40DeGkiRtTwJO8QVs4UTsaBzOL4DFY8Y8wW5pitj5JR1M5mLyDPu/gu2+9wM6R\nBKnxDYwBwSXOsFjfTzkbg0WoF8OUHHFmg0doe12U3UGqVS/BdIVo4ruMx+Z5/UFs4I+JmQ1onzdx\n3CtuaOeKrcJLlppCZhfA7V4j3N+s1wIre9KNBfQauyBp2OawzntfGy6gY+6CrP0BYA9M7g2YWtfT\nTajrYJq7nr3dw9/r7dvVH/bje5Nn7P0q4f4ApXV9+7nWeXYPHKCzAdW2ifHRC0eABwTapWaUUEXi\n6KEbFCpR2otOcvkEK/4xRkMrLKvjqFKHh+TLSEMGK+YoJUIYpoTPV+PA/pleF3fa7JDABBShc00+\nSdTMkzB3SJLhsD5PVCty1TzOdU4wb3qo5o5DFyRhkPNEaOAhTaq30aUWGWeCSKGIMGHbH6E+5STQ\nrSHXJXaMPjYYZIMeaAboBTkLWoSiFmGFfXjkJi61RZwsdbzU8NJPmiFlh4nge+QJstkYJNvqo+QJ\nUnF6qd4TXbmbLZRFk+HGJkltG7feRC0b1DoBfMk6WVeUkhykW3IwKKUZ9yyiqxJVyccOiffle22c\n3B04SNyRJ9xcxmxXiUTzPDR5GYD4Sh7nTBfCMgEqHOUWblpEyCOALfpZZh9Byqx1R5jpTjHiXCah\nZelvbKN6NJq6m0rHYDU2yHVxjO/ln2XBO8aEY45B1qmyTgsXo6xgInB1OpxI36YS85D1xSi2I+Sr\ncZytNtFokXIpyK3Z42hdFb9UpTPg4A5HWNPGcNa7VOeDVJcjbMsDuA40kCY0jAHo1t1oJScjsVWC\noRL/4UFs4I+FSWhtleyM+IB+2fKMrWMWZWAHSpNdxYZ1vgWmFiVg0RKWKsMCQbvUzzpPso2VRc+j\ntmgY+xqsB4a9UqCdOzeBrtkDbnuNEuv6duC337P12a733ltPxF7O1T7e/uZhrcEuPdyrjGkWYaco\n0O+LInx09kBAe2B4lcgTSyRdaSam5hhMrvPSWz/PzdIpMk/0UVpMcMAxy4uTX+MAc5gIvm88Q1Aq\n46KJjxpR8jjoUCbI45wnSYY/4fN833yauuljSrpDx/ltzjgug2QSJ8uAuknrmXkCUpEODlKk0ZHZ\nop82DqY6d/mZ4p/zWuRpMu6THJFukybFbSXKhn+QrlApEOYqpzjKLfrZYoVRrjVPc6N8kobup+N3\nIUV0VLqk2GSYNWR0Vhnhz/gNfpEvc851ke/1f5L98t33a0wns3kGlndQtnXkbQP3bAfhNhEKVPwB\nvq29gEDnTPMyz1z8PilXBiZN5sL7cDrbTHGHMZbJkGSBCV41nycYLjM5/i9xJwz8VKkQoI0TxWmg\np2TkgEaQMse4ySITzDDJPhZR6RKgzBhL1KohvpU9hT4gc7x6m5+e/Q7fnnqWy9HTjLmWKcphBDon\nkxepyr1Sq3W8mNzAROIORzjKTQ53p3Flm6y7+tlW4njiFbyuIp26k4rDj/aQRGA4R+UrUaQ5A+fj\nHRx0SPjSPDJR5drWw2x2RqAIfQc28R6vkCZFvRjE0e2QEltMcudBbN+PiblpI5g2FYbY9ZAtztfS\nU9u1zEV2a3/YAdnqOgP3y/8sz3mvZ6pwv9et0Avivd+T0bgf9LHNYaco4H5e2rw3p/VgsXv59rRy\n61zr3iyz1uZnVwliSR0tELaA27ove9DUTodYNIs9M9K6XhVYQaFL8N5MdT5KezDtxmQV02tyl0No\nNQfbtQGK0QjuSI24yCL6JGSpS54IbpqkSPOweI8mLly0UOmioVBpB7leOEPT52XAv0YNPx3hpI6X\nBh6uSidZZYQVRglSYkRaZdD3XRx0EJisM0SJEBJGL2CoyKR9fSSdaQJyERNBEzdp0c95+XFctOhj\nmxf4FsOs4aXBJgM0ul6MtsIXA3/EicY1ItkC5wcf5a73EFtmitHWBgOdNAeNL3NaXEGVumiSzKXq\nWW7pJ3kk8BZ+fxlTNWEapEGzl/1sQjcqIQ+2eNT5Np7FFofn50h5Mzj7WpS9PpblETL0oaAxyTQq\nXQpEaLmcQIANxyAv1BaZ1Oeohdzk5Cg+Tw3pkIGz0qF1ucPG5BBOT5t+0mwwxDKj71M9q9IgHVXG\nLTXQvBLzw2O85zlDU3KRkLaZZz95ohyS7qIjYSKQMdiky3Y+yYX3Hqe6L4RrpEPywA65QASXaPML\nypeZ9+7njjRFNt9PoR2l23Vx/Mw1xsPzCMNk+dYE6cYARkKmFvXCkS5kFcpyGKWisT86ByGJqJ7n\nXflh+tmil/7wk2BRTFw96vDeEbum2fIOLYpib2DRHqxUbL+ze6mG7ZidZrA8ayf3z2lRDxZgGwKa\n5v2BPyugaE/SsWuy7enyFiDb3xKwHdtrFgjb9dXWd/v89rcJa/3WZ+teG/fOtcC9y/30UQs3Bvvp\n6U1+AkAbUyAbOrdbRymUE+RrcbSEg2CoSKBbRUoYeOXqvUYCHTzdBqnaFjveODhNHLSp4WWzO8Sd\n8hFyaoR9/nmi5OkT2/hFFYUuq4yyZI6T0LP4RIMiHQ4yi1XoaJkxCkTQ7t12U3Wxqg5wuH0XV6fF\ngnMcd72FQ+9S8oXwS1V81Pg0ryJjsMYwHVRMIQgrRT7p/w6Pti8g5wUXE2dY9u6jiZtPam/i1pf4\nKfNlvFqDjnBwRLnNd9vP09I8/LznT/C3KugFgXIXRB89+d8mtPwq+qjJKa4QzZVJLe9Q/6SXzFCM\nrDtChj7uGFNs6gM45DaypLNFP7JLR0dmVQwTaa5yQJtnOTgIGMhuk+q4F+f1No4Fg53xBD5PhaSR\nYVvrZ0sa4I4yxQYDlB0hkv5NPEqdusfDfGCMTVK0DCer2iib8gCmLJhggQAVAMoEWTFUZkuHeOfi\nE6AKfAfL9E1s4261SFSzHHffYNCxjmLo/NnCYar1MP3eTR4/dZ6gv8hKa4z5mcOkK4N4TtboJgRK\npI3mVih1Yrh22pyKXgKPQavt5nuZ50j5NoCvPZAt/NFbBJMEBu77QMnyhu1NcO20gd0ztfO20p7x\ndrD7MEWJXV8t9oyVAEn0jrW5nzywgNTygveWXLUnt9glenb+ey/Y2k3wwbVa89r5dLvu3O6BW2M7\n9N4eLMmg5XnvrskNjAMbwBofpT0Q0B6Tl4l1xlldPkDL7SQ2sUVhOclWbpByN0RfcgOXt9fpREFn\nNTvMNy7/PN6TJcaGF5hkhk1SrDsGEfE2R93XOcMlygSJk8VJm7d4jAAljhp3eKLyLhfUs/wRTxHA\n+37Z1FVGKBImTQoXLfxUezWfi02cWptYf47x+TVGKpu0zziR3Pq9tHiZNYa5wXFucYyG34XfW+C8\n8ji1hJeB0CYFVwgHbTw0eNnzLCWnhib180LhNRLmDsTheOgqStcg3izh+3Yb6WUTkWY3g+ACVJ1+\nNo4PssoIE2MrRANlbvRPsuwcJk+EKAXUTpcL9XMM+1dRHV2ucJoqfsDEYILrsQBOs4Euy3RwUFUC\nXAod59jgDCFvBUXVKRFC6PBc7nWc7i6b4X4aeBlwbXLW8R63pCM9GoctTnGFS+2z/LvCr/Op8Msc\n8sz09PXIaCikSTHT9ZE3nqMx4iUXjnKNk2SJ8zPpb/LC1iu8fvQxlgKj1AwvWk5m0neLnzv8FY46\nb3K1eZpvZn+WWidANJTl+OFLrDmG2SqmKDc9mG2BUAwcZoclbZTFjQO0vuZj5Ozyg9i+HxPzAFF0\nlPdf5y1dsx2kLYrC+mypJBR21R9WqrvMbr0OyyO2gNLuIVtmedRWxmWLXRrCad4vEYTdB8HeWiJ2\n4DbpebcO21otgLfPYT8X7uevrYcWH3ItbOOF7XOX3Za9Oj3KZG9m5/1zKEAIyPFR2wMB7a1KisL8\nJOV2mIg/y5h3jkKyxE49SdGIMmHWOKzd5dnu67xsfIpVeYTDI7cY9K0ywAZR8qwyQlNx4fNV6coq\nWeJUCHBIv8sh4y5VxUdfPsfp3HUmWCYT6SOJgWCMDQbZop8dEnRRcdBhnF4WnoIGDgNHuUPf+Twu\nRws5oTEl3yZLnA4OSoTYIkVN8/N86busOwe445nkevEUEbnEGe97nJMu4KDNrDhEW3bSlRx0URHb\nIBkmelTmIfMKwbUqnm81kTERDwOD9HbcQu+7t9QkOlsmPaxRDAZZcQ8g3DpdSSVDPxGK9MtpTjmv\n4pdqgMkIqxzcXiBm5LhqzHBQbRMwyzj0Dr5mk3bWhXemTqBZw+1tcagwT6erossyc64JKo4A4yxh\nIigbQaZrk6y8O07b7+b1x3YIUeQR+V1GvKuMKKtI6KwwipsmMXK4abAi15Eib3Dh9OP8/+S9eZAk\n53nm98ursu6z6+r7mOnu6bkPDDAACBAAQQCkSIJckZLlXUmrK8L2htcOy7Fr/SGv7Qgr1hH22rsb\nofXG7kq70q6WpLUERVIgAeIgwAEGmAHmnunpnr6P6rrvOyvTf1R/6JwWaNIiNUBIb0TFTGVlfplZ\n/dWT7/e8z/u+SqyLjMlBFon5dpAtg4BW2qWkVOYmrjPmXCPqTtPARVvTCfuzhI7l8TtKODxtTEMC\n3cI3ViRglIm5dmgoLto46bY0ard9bDB+P6bvx8T6vq6FtKeBZg9EPeypHuwFnuy0CdwbQBSgLMBs\nf60OO40hzin2FUWWxANAeLZ29Qi2ccT4Te6lNPiQa1Rtn4lxxbWJLEi7p28PPto729i9d6HNttM8\nglMXAdT934G4z/42O8v90dp9Ae3t+hDmzkG6CQceV5WEmiKcyKOUe5QKIYJykQlzlZPta/xB71fI\nucN89vh3ONq+gadZZ8M5jCyZuOQmY/o6XTTWGQXA1WtyoLdES3KS2MkxfXuZxqibwcA2R6igMcwS\nUxR2+XJRuP+UdZlp7oAEHa9KJ6si3ZSpnvNSm3ISUzNU8JMnQg0vLZwEelW+XPlTbnjnyOhR5qtH\n2ZZHkCWYci+Rkwe4y0F8VOnS7KtdqjFaPZ0yQSZ7Kwyt7aD+RwN+FXqflunsaHDXwkrLNA+4kHWT\n4GaFSCJPM+AkpUZJ1DPElQybrmHcVpMRZYsHve8QpEgHnXFW+WLxmxwy5/kj4DgqmtXFYXYYq22j\nr5rwCtSjLlqzTgaradqSzoZ7mJf8TyGpJoe4DcCl3hlu1I5Qfy9IPeqj+bDOF/kGpx3v8ZTjZZY4\nwALT7JAgTppJY4Vj7WvkmjVmzTbWlIRLajLRXOWofo14NEU+6idJijRx1hxtTk1fJEL+g79jSfMz\n6N/APCIhSyZ1PKiGgZcqht/BQDOF3yyTzcSQAyYRLUedEKXNyP2Yvh8TEz6r9YFnLJr1ivRrhb2U\n7/08rqAH7K3I9tMOAojtwT9p3zj7QVR433YTnnRv33Ei8CckiiJL014yVUCj/Y4Fd29PaRefi+uz\nZ4Qq3Atsdk26xb39MvfXIbFnlArZYP/8FtY9GpOPzu4LaI8NrOI+c4UNdYSGrrPKOBOs4qWKhUQd\nD7fVGf7U+zlky2BE2qCHwvBqCr3b4a1D5/CodU7zPklSVPHRRidKlkElhYM2h7u3cO10aa65ePfE\nSeRIlwTb3GCKVcYJU6CFExUDJ21GWtuMsc22K0pZ9bM1OsjtLx2m4XOhKR2SpAhSJEAZFYPD3ETX\n2qiDTbqKhK60SCbWuVg+za9n/h3BwQwDWpZjXEPFYBuddUZ5afg5NKvLWeltSo4AjYFFjhxaQI4b\nVCNOVqOjKNM9Wh2dy+opPEqdIW2TmCeNhInVUhh8K0s8kOfQ8dv4ek3eVR9gwTXNNAvU8PI+p5gd\nu0PXkti6XKFAl5BUpKG6ka0qut6EWbg+O8etwzOEXEUWlGkuyWe4Ix/kaetlTkvv8QpP4dbq/Fz0\nW9z45WPsqHFy5gAZOcZ1jpLjk+yQ3K0S2GaTYULVMuduv0f8Uo1PtN9h9sEVZLmHqUrszERIu+Os\nM0KSHQKUGWeVIEVkLFo4qeFluzXElfIpUE28zioxb4aH9Au0Nt288OKXqV4Jo5R7WJMSZ55/m7G5\nDdK/PEqn5IR/fj9m8MfBmliUMDE+ADZ7gkmTvXRwAXbiJUBJqCYEUNn5aqHYEMVHBUVhr9EN96a7\niy4ynd2xRZKPvfOM8JrtdUNEvRLh6WK7H7vSRID0j4JKe6KQAFnN9hL0h8ReLznYS7+X2OOxxQNF\nVCUUD7a9oK0BlLi3f/tHY/cFtOOOHZ4MfoPXrCdoSC68Vo1UJ4Elwzn/eR6XXyFKhpLqR6dN1fRx\nuXeSuCeH16yxLo1Qx0t8N5Flm0E2Ge57wnKYPBHa6NSHfJQJsT0QY7S1wUC+yEOtCww4c5hIDLFF\nkTCXOMPryuMscJAqbqbkJfyuCk5XnYvVB8iXB3jU/wMiSp6gWWKwl8KQlT5H7NQIU+AY1yg4w6wb\n45SNAOlcFLl5kxMDVygSwkmbaRYohcI4621OrN4k5k3jDdapfsHJyqFxCu4gA44sO1KMohEmUcsQ\nSpcYKOSJOvPIQRPTIeM1GmSlMGkljiEVKSpBClaY4VIKv1TGGWix7hohQ5Qd6V2K1Ai0K7jzbbR8\nr/8rGIGFoYO8GXmEE1xh3jrIVesoFhIb0gjneYQ0cQxZQ9O7+EbKtCwHLdPJjdIx8lKUwcAmIanI\nuLHGbHMRdJN4L423Vkd3dAkmyjiDTVJKgi1lmE0lSZoYbRy4abKeG+e9/FmODV+mjpfb1SP0/BIb\nzVEqhRDugQqtjJvUayOkT25h5RU633fSdTv6NFIYdL1LzJMmdnQbd7VK+n5M4I+F5YEGEq0PgNOu\nr7b3Vfywinb25T/7tgnQFjSHUI7AvQoLAXbC0xZd0sW4dmC10yr2h4PQlNu13MIztnvxYgz7cR9G\n0dgrBNppEftK4QN1C3sSPzvHbde7i/OLhKM9KWILiWX66pGP1u4LaPup8LR0hR0pTpEQutnhQudB\nkvIOz4a/yxPGq/RMlQvSQwyYOQpmmOvmURiEoFKiQIi0GaeLik+qMCA5yBNhiUmWpCl0pU1JCZI+\nFKM642ess05gq44vU+fZxjdZdE6xyEEOcZsbHOUF6Xm+rn8JNw18VHmW73Kcq8TIUKgNcLt9hAPe\nBRSlh8+sMlTfoqr4yDiiVDU/frnCMa6xwDSWF3oOleu3T9FrqfgHKlTx4aHGCZv/Ie4AACAASURB\nVGmdoLdEqF7h08uv001q1BNOSs97uCSfoECEL/N1Nq1hql0/T+X/nMi1ItYCGIMK0riFFDNpAptK\nlKscY0xfIyNHaJs646V1jsvXOBq4yr/iN1hgGrhNDei2HHhSXcyGQhcFNdkj44+xzCTT3KFpuWla\nLkbkDVJSkhd4nnFW0ehStzyYloyPKiGpxEZ5AkvWOB24iGKYjLU2eLL2BoYMpizRdakYcYPeSYn6\nkM6ic5zr8lEauGngRqZHC52F7Azfu/Nz6KEmBWmAV9LP4NRq9FoqUkkmHC9C0SL14hhX4yeRqya9\n2wr8IvBUf7Z2/Q56NYWgN4/HU/kbBNo5ZFroNP9C+raLe9USduAWYCZqa3dt+9rBEvbkfwJIBaiJ\nYGDTdo79QUB7L8oPAz/xkBBB0v3BRQf3BjbFfdgTe8Q92Tl4u7xQ0B92XvrDgqLiOHs97/08vlgt\nCMB300Bigb8xtUcyxDhPkjwDNHEhSVU+7XqZw9JNTnCFDWWUMn58VPlS+VuUCfBK4DHW5DEKhPFS\nY6Ots2kOc911jMPSTZ7kVYbZ5DaH+GP+NhImUXJMtZY4feMqY4VNrhugm/107TY6r/IU1ziGgw6u\n3aSdEEXipKnj4at8hWh4h180r5BUtoiSJdncwbVk4OkUcHhNrk8dIuseoIKfYTaR6bGlDnFi8hID\nco48Eby7T+NrHMNHhaCziBS3eDd6kqw/zCHpFkNsE6HQp16sm8z15vF2a2BBJ6CxfTaGM9bEmSvw\n5r8HV3KNn3MWscYNcr4IitTjcuIoltRjiE2e40VqeDnPBkFUNrxDvDh9lIO9u8z0FhjsZjjsukED\njShZQlKREWmDk1xGxaBOv263SJFfaB8ECY7r13gy/ioOqcsWQ1zJnSFgVOlENMYcqzgcbbaPDpH/\n5mXU13MEP1FnenAJp79FgTBOmgQp4aPKpfBDmAdk8u4IlgNGnUu0nQ6qrQCtlslR8zrqdJvm33di\nJCW6C26sU1J/bdsCPPD+Kw9wuzRH9WE/lrlfAPbX2Vo4KDOFQYw9r1GAjIc9ikGA34dlH8IeB233\nQEVtblERUNheIG6PKrFzwsLbt0sIhe3XVgsgtlceFPdRYe9h4WAv0UXou+0a7/3Zj3Zv3/7AEfy3\nSKQx9h0nQFtki4r4gElfiS2ODwDTGDgoA3/pTkk/M7svoG2gsMwEddw0cdOVNIbUbeLtDKOtbV5y\nP0NKSzBhrbCttfBbFZ6xXuJb1mfZkEYZYou79Wly3ThX9BO45CYRM88N4zBZOYasmiTYIUIet9Kg\n7nOT0QYohkoYToVws4Sn1mbTP0pWH+iXMiVIBwcGKnkipKsJLmw+yifjr6IHm7xvnOKMcokxdZ20\nL4bPqKLrbXxyFemuRXC9inlSxuNvcKxzA1etjUtq4aBNUQ+wRBuNLhli1Jx+6gk/N72zSFqPGeZx\n0aSFkzvMMJVeYWRrG23HhArIsoVutHHkuqhLEFmEQKfO8E6dtqYQj+dIhlJcdx0hTYwZ7nC6fYVD\nvQXW2gZ54xR31UlS/iQ6LdRel2w7xqo2SgV/n1+WysR3/dQeCjImTVyMsM5RrpGTI1QkPz6pisdV\no41OjgHWuhNoZper+lGccp0RaYuQq4Smd+h4HKT1ATS6HKguU89mcLmauAINqrqHCd8yj6qvo+g9\nVK3LnHyDm3eP0t1wQkYiM5RAH22gznRp5dy0uh6sM+A+VMUzUsWnV8mnouStKHFvikom8GNm3l8n\n66E6ugyNWvgbYG3fGxC0qys+DNTs6dt26sSuFrFLB+0p73bOGNuYlm08wUXbPVvRDcbu8cKeVFGc\nx54ub99mB2ph9roo9gQZPuQ+xPULukd8R9j2F9+DPTVfrATEKsETgtiAhbLa6ad/fsR2X0DbY9Wp\n46GLRtfUME2FjBKl3A7RK+jc1I6wqQ3ikppc9x1ltjfPrxn/hivSMZq4mGCFa83TZNqDbETG8Fp1\nJMvkm+0vMOe4xZPqqxzlOhYSJT3InUNTbPXiZK8tUHRrBApVotslPuE4T0AvIWNykyNU8VHHw5o1\nSr3sZ/vyGNlTcTR/hz9rf46Ao8yc6xbL0+NEyJO0dhgx1/Ffa2C9orE9nGBcX+PZ4vdRVkBWoTuk\ncD7yAFd2Mzuv8wwb+gjhaB4HXSZZ7gcYkahYfpasKQIrDQ68v9l/vMugeQ0G13NQBWsRHt5dP0pF\ncDZ7JDtZ5gK3eFl6mqvSca5xjLH2Nofadwm2DeaNOd6RTzPc2yRLjLrkoePSuCidJUOMOJkPdOob\njCBh4aS1m2V5k4d5i4bmYYkpGrhZZpK26aTXU3AoHSxFIkWSpukm1ClzvDrPuq9H81CAu7EJhuQt\nJnNrqFeyWDGJ1rROSQkx67yFw93kdZ5AxWC0u8HKlRl6axqyw+RK/hSOcAuPq0Rvx4HZ0OAB8B0s\nMTK4wiTLXPOdItuMc2TwCsuXDvIxqEl/30xxQ+gRCdcWsN3fJgC5R99btlMKwqMVgTk7tSAokv1d\nD0XpUhG0FAAJe4kpXdt7QW0IesROzwjQtXvM4roEmDtt57FLAR22c4hgpGXb114BRLONK7aJ78Gu\nOBEPMju9IoB/v0cvHiQaoA2D9wzIGfrNIz9iuy+gfda6yBgKL/MpTlau86nSa5yPn+U91wmuxY8Q\n1AtMcpcZ7rDEFC3ZyYvac6SlBB4ahClwbuBNznbe5rnGyxhOWNLHWXeN4JTb5ImwQ4JhNplghXVG\nGdgsElks8c3Sb3Lbc4jOoM6Yc4UmLuaZJUmKKZboovGo8RaWX2L+8UPUAi6KSpDnXC9yQF6kSIi3\nOUcXB8PGFs8Xv40nXqT2pEYvqGJtKCiXQYoCPZAXTUadG3hwscExGrgJUuIUl+9paKDQY9xY51zl\nEolStj8jp9kLofvprxlN4Iv0Z3cG2ITx3Do/P/RnDPu2ueA4yzs8yHfdT7PgPMD7rjuUtQe5WT/K\n5fWH0HoGCfc2j4z+gJZDp0yATYbJEmWBaTo4GGWdCZaZZZ4oWa5bx/hW+QtUFB/H/FcxkTlYusvT\nK69xfvBdNkODuKQ64/VNEoUcynYP1sF7uc5xxy3MpEVNceHPtyiEAxS8AQZKJZpOF1uBNlO79U4S\njh0+/dh3mGjeZVmepBtQabl16qaHJ8ZeRo7Cd1vPUtXcdBsac65bFINhOj6VoFrAWWj9iBn319N6\nXpnSZzwYV5yY3299QFU4uVfDLJJfhKTOboLSEJ1Z7P0aBagJVYf4XADo/voh9qCfoDPsQGlPsd9v\nEvd66zJ71QcF/y7G7tj2E561CIKKxCG7By3usWt7ie2w50mLzjoWe11+YO8BIqic9qRM/Rkd63vS\n3xzQDlBmkiWOkGRALtDVVFqSk7wWpqm5SJDGTQMTmRgZFKmHU2oxwgZd+g0CVFcXVTOwmuCSmsSk\nLJPqCl5qxMhQJkADNwo9KvhBVag7UuhyB8VhUPJHUdUh6njIECNJihE2SJLiaOkGRk/jbOIC88oM\nza6b5xvfJqlvU3QG2GYQFy0kyaKohKgNe8kmouAzMRoKG4EhYlIOF21kh8VArYCnGe4n12DhokmI\nIj6zSrBVJlSuELBqWLKMpvWQIlZ/1ocg6w9T9vgZ0LJ4Ki00Vw8GIBWKseoaRXUaRJ15Ju+uceXg\nUaSwhZsGLrWGRY+K5qWi+KjgoyDFGFK3GJDzHKovULTCpPU4BcLotDnA3V26ZJtBtvsyx3SF7oaT\nmfgCpkfmRPkKGfcAfqVKT5c5XX2Pw9Z1mlGdnqRwxzGNw9uh7N+kN9Ai3C1SN3VqHhfbkwHW4iNs\nOxJE1SJl2UeRMDImiU6aQ60FSrEQeTVMBQ9dVNqWjtdyo/gM2i0n1qJEJ+omH49xVzqA6ZDwKlW2\n6iMU5fD9mL4fG2tqTt4dO83QtgOL63/hcwFWAqyF12kHdOhPNcGH26mE/VmQ9hRw8d4eQLRrnIUH\nbgdPu+rDroXer2SxVxa0X7cYVwC48Nrh3pT0/UHY/asJ+7nFv8KTtif12GkUe6GslD/JxdFTNFVR\nQfyjtfsC2lXZR5QsT/IqV/3H+SP/L9JFQ7faRMnSQmdLGqRmeThoLjLFCmPyKhkpxibDrDDBcm+y\n31zAHees/C4JUkTJMMMdhtnkNZ7kLR5m3RpllHVygwPkD+T41eAPOMO73FLmuMsBFjnYT+3Gh58K\nn+NbBDINip0IZyPvsqaMYnUUPpG6QHdAIu8MYaIwZS1xSnmP9XCShcg0mwxziFu0x1QuJw9z7tL7\nOOU21qSEN9/CVe03+HXRxEKijc6x3jUmK2vod0ykLmT9Ed6aO8PB6WV8sRrStsVKaJSF0Ske4F0G\nqxm0rR5kYWHwAH/63Odx0uLB25dIvJnhUuwMd0IzDFnbPCa9wRBb3DYHcFg5PM4a1UEPZ1xv80Xz\nmzyTfpUWTrb0JG10DnGbWeZZYwwZk5BVomvp+BfqzHzvOrN/+xayz8KXbnMtOcONwBxfDzzPV976\nBqe3rtAOwIvac9wemMMbr1I++l3qn0qjpKx+F6CAiztPzTLPLKvWOI2gG1UycNGkh8xM8y5H8/O8\nHn+ckhrcLWFg9Dl0qcEC02ykxmi/4INzkHIM83XlKxzwLeI1G7y79Sht/8fjR3S/rIqfP+t+gZM9\nL3D9A75WeIx2CZvFXoq6ADMBToJGEdSHnUsWlfZgjy4QZaSFByyCknY5oaAUhMcqEn4EOMIe+ArP\nWHjBLvp6aQd7Wmn7mHYQb7NXE0R48WLVYOfB7d/F/vZjQr9u5/z3p9GLIK0MLJrTXO5+iRrL3Jve\n89HYfQHtVcbpkqKBi+7ugqSGl9XWBNVagJ/3f42eLvGK9RSvvfNpwlKByQcXCElFumisMs7Na8dJ\n7yRZjB+GEYXT0XfwUeMqJ/gBjxOgwizznOAKx3tX6UgaL6BwmRMomLhpcIr3GWaTODvU8bLBCO9y\nljsjh1gyp0grUXxUOalcxelpoWgSEXJMscTlzknOG49w0nmZDWWEJSaJkWGMdablBVyTVUqym1Ig\nSNPlohiAgd3gXm33XEklhTdYJ3i4jOuVLoHXqpz99hWKT/m58sAcPn+VSCnPY9czhJQizlYXRoAe\njDnWeJJXuc5Ruh4Na1ii6vKx0priTvkIkUCBJ4zXmNl5m2D5ZVBkvr3xBW4kjmGFJe5EZ/BotT5f\njZsmLm5ziAlWWGaSK8ZJfmPrDxliB+mEhc9qke8FWUwe4H3XSZboPzTfmHmENXMYl15n/K1N4rU8\n7z1xHLVtIjdl5qNTnHee4wZz+KiRIcZqY4KtK2PEwylmDt1Co0PGPcBV9RCD+hYHCHCNY/RQkLAw\nkYmQoxN2UX04wujhFZLDmzj0FhXVz/adQbr/q8bJxy7y3v2YwB8T65QcLP+HGUbW7zDAnj67Qh8g\n7UkrdnAVFIi9l6IANSHTs9chsZcxFbpqAc4me9SJnVfucC+4iuuyl4MVAC6AW7ed3x4QFfcg0wd0\n2FN/2AOf4sFj11/bVS52sN5fMEqUaLUDtwBscZ1iRZK/FWHzT2bpVDb5GwPaBcLcIkyOATAtTlmX\nWZdHKbdDrJSmyLmi9HTYYJSeorNujHGnNs2gcwO1a7CTH2K7OEy5FIaKxIJ3hmh0hxE2yBDjDjNM\ns0CcND6q9FBw0MFHdfdJ2yNCfrfMa4cGLjYZIdeO8p3q51nyTpBz9lOiT3IZn1Ih5wuh6F3U3WPj\n6SyVfABlukeyncZXaRCMl9CcHRS5RzuiYq3LSBctjDMymtZmvLXBeQ0KSphtBsnJA9R6WwRLFaQK\nOLY7DN5NszA9xY1PzjLhWeFQYZHR9HZ/RjXpz3wJLFWm03Owlp0g20pgjqikXVEUDGRMbklz/WCi\ntMqMlOZB6QKrjgPUFSfLyiRFT5BnjZc413iHWs3HqnuUojdIkCIaHZptF/7rNWTJZPNwkrrPQ04L\nse2L06Pf+zFPhErEyxZJdkjwjPp9Rq0NqiUv73clblmHeL31GD/sPsqyNsmE5y5Vy0e5FeRgZwl3\nr0aJQD8grWnUNTcdHOSLA6Q3h+jKKrJu4vI0CQSLDASyFE8OMJe4zqh/lQJhSr0gDdlNJJjFvfPR\nJzrcTzMbJqXX68j1JmH2KjvbO6QLcBZALHGv5wn3SvTsQTl70onIthQ0wX7lhfDQ7dw0tm37gdKu\n1b7nnviLHrVdtSI8anXfOHbqR1Ao4oGwP+PTnsUpKA9xj4IvF2Bup4J0IARY612KrRo0PnrlCPyE\noC1JUgD4V8AR+vf2a8AC8FVgDFgFvmJZ1ofS9D0UvsVnKBLic+a3+JXev+WWNken7eJC+THeiD6G\ngxaa3GXw7DaNmo/bmWOkQkmkikXj3SDWqAmTJpxXSI/HWWHigz6JPRRWGadMgB0SnFce4QEuMsx/\n4ijqB7xyhhgddHQ6RMlys5bk6wufJ35gi6gzhZ8KPRRSaoIbgRlC9D19jS6/sPB1Zm7e5e3EaQa3\n0xy8tcK1p2epuLwsy5Mk5W1iFwqM/o8pSr/vJmkYPFLZ5AX/8xSVEG4aVPDTy6q4X+qiGiYkgIsw\nX5/lVZ7kEc6T7OWgt9mfUSvAdSABa9Io3+0+x8vXPsOOI84fnPw7HHDf5YC6gM9ZY4VJ/lx/hnai\nyWH/PI/wQ7rTKtc4xipj/YqInQKPFC7CMtwcmmHeO4WHBgnSHG7exPtmjezEAO9/9ggrTNBDYYAc\nx7iGlxoXeIgx1nDQ4f/h5xk6t8VwZYNnV17hXXOCb2if5w/nf4s8A+jBJu0xjbrhJtwt8rsz/wur\nnhF+n99glXFUDG6RoYaX7GqC7W+M9+95AJiAB4+9STS5w+SheU5xiShZXuVJGoYbbazN9P+5yMbv\nDv1Uk/9nMbfvq7UbcPs8UekWIxK4rH5+nsaeVyiChi72PEnRLFdkPAovWQC72EcoNVrcq0YWXqjQ\ncmvcy5GLfT6s3oc4jyjMJDx3O21i58btJh5Ggr5wsxewFEFCe0ak8KCF521P8Olwb9q/fTUizi28\ndUEX+YBDgD+/Afk3+Th42fCTe9r/F/DnlmV9WZIklf5q7HeA71uW9b9JkvQPgP8B+IcfdvBkZQUX\n6zzGGwzLG1yXjlKQwnTdCmqsicdRw00d05TJLAxSaftREw26dR2zI2MdNCAjQ0mGGBT9Iar4mOU2\nD9x4n63UCK+cfZxMIEpdcuOmQSBfxdwqc2hrCSQwDZkbA0dZcffBqEiIGec8Xxl8gSXXKGkiGKgM\ns0lSStHExWhqm8HyCmOhFCGlhDvSYE66hSfaQp9rM6Gt0q2oKB2Jut9B+6QD879XuHVwjtRKFmlt\nndmpeWRnl1HWGWUdh9pB8oGkATEgCQOn8wQpcZEH0AZ76K42E8113JOt/ix9G7yRGoPnttCH2/i0\nKhPOBX65/CeElQJXg4eJS2lMZBalRV43Psn3rGeQNZOolCVGhnlmcJktpN11n8+o4aTNyzzNyNI2\nz9/6DtFHc3THZeaMW0wvLmOpoIx3iJTLlOUIhOFF6bndgqwGq9I4b7ofJT6WpX4ly4A7h2+qQIIN\nYo40Nc3DuLrCCeUKBcvHujqEUVWpfStIq+WmMhEhdnQbZ6IJnzSI+tME/GWc3hY5YqSLCdRgi6Ic\nIkqWw9wkdXOYVG6E1MMJzK/I8Hs/5S/gp5zb99d2mepnTKyESvedHs3bFqIOyP62YHYvUniX9pHs\nwTjlR3wm3tu9UTsIChMer92Dt/9fUDl2yaA9Kcag79mKWiZ2E7RHk3s72nTYA3D7ePbgpL0IFrtj\niGNU+g89i/4DTuwr0vU9hxVc/5WO8vsSXLf3df9o7ceCtiRJfuATlmX9KoBlWQZQliTpC8Dju7v9\nW+B1fsTENi0FLzUmWMGUZW4xR5EgWX0AR6iJ4jAYNFOc6F3lte6nqOEl6MnTNd20dSctj4qz0UWp\nQL3ro5rxU/RFUOM9ZhsLjBRTnDceors7jVQM3N0WvXYH2XCTVyJsm0luM0eWCDEyBCkRd2QYjqwi\nO5t46asqgpRw0sJARTJNfJ0asXoeuW3RsjQMS6UQClH2BGk6HfiNKuFeEavhwxHswcMg6yA1Qapb\nHMvdICltEwgWCbXK+Ms1pLwFSbBGgCOgJPs/jyxRbvjn8DvLRDN5eg6Fit+LM9XCCsCAkuNAYgG5\na3K2eoFHOz9E1k3yBHDSoo3OGh1uWEeoWj4e4w203Z9IgjQNxcVd5wShcImOu/+nzxDjQHONo/Xb\nMAcdRWbo3S41009twEMdHdm0SHTTPFK6wIZnkLrDTZw0LZzMazPcDM2x4XgHTfMzMJAmQo4EO1Tx\nc4ZLnFEvscwkd8wDlOpBjJaK3DLRux2SZoqyFmQ5cBA5ZqL4u6iONoWlUSTLYs5/hbrsYa01TiPr\npbHpw6xpqD2TgRMp1v6SE/9nNbfvv/VYGxlDnjzKzMImFtkPAoaCOrCrPOw6ZNjjiiXbfvbjhNmT\nc/bzx/YO5iJoZ1eU2GkXsY/wuIXt30ds25/6blePCO9ZKFwE2Auwtt+H/SXuw57eLvZt27YLmaKA\n51xogPOfeJjiVxu2q/zo7SfxtCeAnCRJfwAcBy4B/w0QtywrDWBZ1o4kSbEfNcAV31Eew7Xbm1Fn\nnRFucZg1bRSX1s8MPNC7y9/r/HOsafih8igo0HE7KLcDbFcHiR3bRg93WfmjWZrrPjI7g8w/e4ih\nkTS63yDvDmMBUbJodJE9Ju2QzO3YQd7QH+U165NUZD8xMoyzymFuklWj/CPv7/AJ3mSQFHkilAhi\nIREnTS3pJhMMMZTN4iga1NMe3rbOUfQGwYKCFOYQ8zzu+gHh7TJ6wUCqWZxtXWapboIfzqxfoVZ2\nkj/lJ1Io419oIr1lwaP0ddlRKHmCFAgTIc8OCd6QHuNRx7vkvSFujk6TnNmhJnvxSHWeDr7IwfQy\nTy29QXo6zHYoTpIUbhqsMs4Kk7SUMKOs83n+jO/wWW5ymEc4z5pziLz+HGcGLoEsfZC4lExsf6Dt\n0n5oYr5ucf2355ifniYnD/Cp6MvMFu7yu3d/j3cmT3EncoD87sokQ4z3OE2ODnnOMswmEiYddA6y\nyDirOOgwzyzXesdZd4yi/WKLMXmLWWWeaWWBxeVZ3rnxGJnBYbLxBFKkgzmvMyvP85mZF5lnhtcK\nT7L45mGaipvgSIED6iLT3OHtn27+/9Rz+6OwV9Kfxq1M8kvVbzBLFh974GbnguFe8BOgp+9+Zq89\nItK/hdlB215C1U5xfNh57AoOoYUWlIrQjrPvWEHT2GWD+ykM2TaOUMbYAVw8FIQXbff0BTgL+kME\nN8U5OuzFBsQ9m8Dtyix/+v7/QaH8z/g4mWRZ/98uvyRJp4ELwDnLsi5JkvRP6Pe6/HuWZYVt++Ut\ny/oLBY4lSbIGz8SJjLgoWGE8h0YYODJAZ3cxJJkWW/VR/FQ44rrOonyAtBWn2XWhqR16XY1SMUzE\nn2VAzhBN5Vk1JjBcCj+X+DO8Vp1SL8Ql/TRdRSNAmTFWSRgZ1s9vMfmJGE3ZRRMXBcJU8dE0nRir\nOpVWgFQ4yUOBtxh2rVMhgJcqEaNAspVBdhh0VJVKO0it7KPbVgkkili6RBM3OSL4qDLa2yCey+Ou\ntD9Yf52/Cw8/AnktyLprmNv+WY52bjBS3oQd2AgOkwklaOk6NcWNpFiMsNHPHDU1Hui+R14Oc0s7\nRIH+19xfASgk2hkONebxNmvkHBGuRo7RlTRKBFg4X8Dz8DG0poEvW0cPNnAG+n02JxprRLoF1j1D\n1FUPYBGiSKhTwtNtUDJDDNwpMH59ja1PJciPhKjjZpBtBvIF/CtNLk0cZzEyRYEIRxs38ZlVbrjn\nmH+7iPeRo0TIo9DDQKWGF6kpQVui4ApSrIaolQLIrh4ub52Qt8CItE6t6edW8TDdbR1LkmHIQmr3\nSOgpziQucrc+zXp1nEbVi7V8G2ntJk65idbrUvnha1iW9ZcqQvKzmNswa9sS3X39FVskhO7Y5D9v\n3CZSWyfT21NcmOzVIbEDqvBG7Wnf+8EN7qVC9jc0kIBr9J9uYvz9gU6LPamcqDwoAFmMYT/OXsNE\n0Brivf0hIe+e+4Ttnuyc9Yd52IL3ttcdEeoZcXzHdh47pZJUIO8d46vJ52lsXIX6/cgJyO6+hM1/\n6Nz+STztTWDDsqxLu+//lP5SMS1JUtyyrLQkSQn6+Xofap/+b2d44hdivNZ8ipwSweFqE2cHJ22a\nhpvM0ufJa262J29iEECqRainY4RiBZxSD89WCEeryJT6Pr+e+Ndcag2xYyX4W3EHOS3B+8YZHJVP\n4tE7THvu8Gky+AnzXVVh7pcOEqbAYC/FG8vHWFXGaY87yLw+jLMcwXXAyyPDG0yFWqwyTpIU080m\nZ9JlOn6ZHV+UeWuCbWsQqQNP5F6l6A1yJ3IArWtgygFMaYSJ9Cb+YhW1ajCyuUVHbfGp/yzIO5FT\nLOtPcLv9BR5z/AvOaK9hIeFtH8Iy51jQD3CkNs+DzXc5rayx7h5h0XkAv/EgyKN41ZMscAo3Dcas\n28R6WYYlLxPAmWvXySpO5KPTLEoHqTOEk/dI/NKjSEWJynyYc2PfZ2pwkTvMcLagMth087Xol2g5\n4vip8BgvErcU2tYgl6WTzF6b5/m3N7j2XITimB+NLk7CKKkw5jWd1LGHKCbn6BHnqUKWY0aa65Ea\n/0F2kvilQcbo0sDNNoPcYo58KUar6sEK9ghmTcIbMlW/n7ZHo+zqMDfwFglnDa+RIP3GELl8nGI0\nQnJyhYn4XWK6l8W1T9Ioz6GGOwTbJfzVKo5Sh25ZpfLDQz/xT+KvYm7DL/w05//LWV5DU8s8fnaE\nZK3O9Wv5e6RxAfYKHwkz2WvrJUBLAKidWhFAaq/DYS/wZAHPsJe4a6c9hPsnzmEv3mRnhIXkT+wn\n5HV2kG6xtzIQDwEZ+DT3BjMFv25Xt9gBv8O9dcLt12vQ97DFdyMCnw3goHSeJQAAIABJREFUxJEI\nKfcIL7w3QKMTBeY+9E/xV2v/04du/bGgvTtxNyRJmrYsa4F+kcybu69fBf4x8CvAN3/UGDskMC2J\nf9j637nsOMZ3XM8wwwJp4lywzlEpBNAcbRR6tHDSqHoxFtx0nHWcyRJDk6tk/0WSxp0QJ794kyfk\n87R1B0bYZEmbZL05Ru5WgpHYGtPTC0TI46GOixZr9CsFqm2DP//jL+DzVvjt3/49Bo/naJourgdm\nmFD76e03OUyREBXLj2nIuFstRuUtRowMPVOBLDi/2+Lrhx/gpU89w39X/KdsO5J8LfRFenEVJdbD\n363wm70/pOrd5MLgKb4vP8Xb9UfZ3J5kLTHBSmAVgFPFq5xsX+frg8/z8Oo7PL50Hoe/w9bUCKsj\n47zQfB5ZM0mqKXTa/QePleJvNb+JW66z7BwB3WJMXuMX+Y98i8/Rwsn6rqQxGdjhC6deYFa5jYzJ\nNoOcDzxEze8lqwz07xM/PRSGzC2CvRIFNURgpExX13gvcooWDk7yPhuMcjN2mDcee5yYI72b4bpM\nLhAkRZQz8nvcwsHD5ImzwwUe6uvSSXHAv4TL22RHThByFYgNZrgmH+PO8mF2Lg7hPNfmZOIyE+oK\nlx85xYWlh/nhG09ydvBdxvXlfps5w4Uqd/BHc5xVLnDCukLUzFIyg/yj/3+/gp/53P5orEvX1ePN\n336Ig8s66m+/es+nFT4oigh8eI0REbhscW/AUnTDEV6p4KztWYuGbX/H7jFCHSICjkKx0mCPdxaA\nae+eY9rGEmPv13wLALZTQC3u9cL3K0gE8NspD3uTCEGp1Hf3ddFfYrXpL5Yv/soJVsZO0PktA/J2\nseNHbz+peuS/Bv69JEkasAz8XfrfzdckSfo1YA34yo86eDU3yTtyjIbHQ1buLx8VekhYGLJCaCyD\nrnTQ6KssIr4CuZk4JdWH0VQZcGcpeyMsD0zwz4b/S55wvsq4usymNoiJzLi+yqfGvofs6eHodUk2\nskhKjx46EhZrjLGkHcD9VJVxx1J/+e6TkOkQ13aIL2WpdgO4DzaZWl5lurJEa1RFzihomwbGlEXF\nHWQnnmDp0SkuRM+yJQ/xXe/TGIqCIvUYU9cwUCkqIZpTDirXvcyrMxQJYWqghZqkHHHyZoSHjAsM\n1lOU20EcVgeXs4UeadFJKhA0CUolTjovU5YD6LR5iAsoGNQlL2/rZ0GCsuwjn4jjkDpU8TBdWMas\n67yWGyVUM3F7G2zrSUoECFHkAS6SUpKsMUaAEhX86LQIU2BZmmRDGcGSJBzNDYyCyu3YHItMcJtZ\nLCSySoxtV5JZbnOYm33grq4xXN8m3CsSX1AYfkNj8cwEhltjjDVaOFnaPMh85giumSqGT6Gq+qjh\npeeV6YZ0rm2eot11Uh4NcMC5gBFxcH7qCW7dOc5OYZD2GYWa20Mvo9D4aoC10xOYh2UcVodxafUv\nP/N/RnP7ozKjrfDDPz5Fr9TiSV79ABztQCgyJRX6pWzsBZyEltveU9Huhdu5cNEaTFAm9kp8Xfog\nZ6cWxHiqbZu976Ndl22X3InPBLjbuXixKrCDs72glV0BI4BaSPwc9B8eIphpb/Ygvi8hdVTo57P9\n4DuHeMd/knZj5cf/Me6z/USgbVnWVeCBD/noUz/J8eVGgAvNcyy2DhLQywT1ImX8VPEiyybOQAtV\n6mJZEm6rgero0Y446RoKqtHFYXWITOYohUN8bfhLFGUfR7s3WO+MMMQmY+o6Tw98j02l383G0e3S\nxEmFAGEManhZ0qaYfWyeKRYwULnpmMVAxUMNqjJK28SyJJLlNGO5DaoJF9a6TC+nkp0KUu4ESLej\nvHXyLBuOIZy9Fql2Ar9WZsy1xjCblAhSlEPsJAcoBto48aHTJu7YwQgqaEoby5IYNjexZIkdJUbK\nSJL3hSlpfkpDHizVYspcYqiXYpskFcPHs5nv0dSdXI6cYMMxSAcdh9VmOxinh0KeCBPtlxhubCO3\nRpCa0HbopLQEPrOOwzLwKjXCUr/lWoQ8RUIYqDRxsSRPcokHOMY1zK4MdQl6UCZIAw8mMnU8tNGJ\nk2aWeUIUGW2lCNTq1Ew3zmyd8J0yjaMemi4XDjqMs8p2bYTt3BCzU9dp4GbDHKXVcKGrHaZGFmnn\ndBZr0xQNH3PyTUZ86zhmW6QuJslth1HKHeotD3LNxLFi0JjysM0gpiWjtY0fP/n+iuf2R2W9jsz8\nfwoxGovieSBCY7FKr9T5AKjgXs2xmz2gEmngdomgvX0Z7PHQAhztYC4AVQQK27Zt9o4vAozt9Ufs\nCSx2T96evfhhCpT9ShI7jSPGE+cQVIn9ngRFYs/AFEFSbJ87Qhqhgz62r8e4kwnBT6VP+qux+5IR\nmfSnuLl+HGXV4PTgRQ4cX2SRaTLEMHoq6bVBFLWHctBgtTdOpRCkthzi8ORVgsE8eSnC9JnbOMwO\n77tO8tLaZ/hO5osYfo3J2B0e9bzBb27/IS2fm8vRE6wERsgSZQkXo8gMsYWMyTirxEnjpMWf8xnS\nxHmE87gOtTAsjS11kOpBD5KvR+BKA/mKRann56pxnOH5FDPzy1x8vshEfJl4M8uz776CO1Jn82yM\nS5z54J4u8BAZ3uQJ7uKhTlJK8aD2DhHyjLBO3eFmdWiCN7uP8WLzWbzeKtFIig1thAljhYfrF1DS\nMnW/i4bLQfw7BbqDCvHPptlkmDY6TloMdbeo4eOK4xh3oxPkwgPMxa+Rlx5nsTLLJ0Kv83z724R7\nRf7A83foSiphCn1lDB7WGKeCnxpe6nhIE6fkD+IcafFzrm9xgvdo4OZ1PskdZjBQ8VMhRAENA9lj\nUnZ4ueaeoxK9TXCwxOPKD/jX1q9xSTrDPzD/MZ1Jndaog+OuK6wyzk43SfruEGdcF/nyxJ+wOTTM\nld5xLjQfZME5jeSCcHKHoae3MEoaNxdP0M06CGpFDv/6FUYi60TJ4JOrvJt5+H5M34+pGcBVWk9W\nKfzOOdp//yK91/r10QUHDHsAKsDRDmoKew0N9lfjE/SBfSz7mdvsgaIdROxKEQGQdg9fcNDYrkU8\nWOzet10Dbu90I3TaTts2eyp7nT1QF519xDULkqPG3grBnvZvAd1TYUr/9DSd/7kMX73GxyWhxm73\np0eke4ftYI58OMq6ZwQnJynvpjNbsowWadNuO9naGUf1t0CRaKsugmoJ306NW28dRzvRwznWoliM\nojhM3MkaDmcbywVL6iTfCT5LSQ/gkepYikUbjTY6mwwTI8MDXMRFE5DYYAQLieHuNucaF+m4NOoO\nN+d4i+H0FkoKJL+JNAeSYqG6DDojGg1dZ8Cdx0RG7RmEiiXKuo8bHGWBaRr09curTLBCFpOThCng\nlepYSDhp0UHnonSWt9ce4e30o+w4R6gN+7F8Egl2MGSVNX2U4XAKf6lM6K6Fo2RguiV6WwovRQ5j\nOiXOcJENZQRH2+DB6vtc8D1AWfeDVmDAnaFhuclKA7ylPURAqWBICg3c1PGQJ0KULKd4jzvMMsg2\nT/MyJjJ+d5li3Iumd3Y7zvRbq7ULLlZWp2mMe2mHnfToktEjdB0O6g4XvaBMZ9TBjpYgRZJVa5yX\npE/T0N1IuskV8wQbqXEKOzFCnjxW2OSGY44iITKlOLXtEKXhMEhQSwVIKRKabBBK5vAFqzjVFrlQ\nGJ+jTETK4aWG5m//2Ln319tarMxH+dYfDPGZ9VWCpNng3qJPApAExSCCgHa9tt3jtVMXgn+2c8mC\n37ZL8mCP1rA3ArYXzrXLEQXvLYKP4jw/ij6xJ82Ia9ivRhHXYy/8ZOfl7WnvYl+R2SmUJcNAbi3K\nC//mKZbnBWHy8bP7AtohR56J6CI+uYqid8lZA2TNKJYFbquJ4uvSq3ko3o4RO7SFy9siHMnh1Fto\nWQP31RY7kUHaQQelWoTB8AZDgVViZHZBKMxLkScZJMUB7gLs1h7p0aBf3yJECZUuLZxkiTLMJpO9\nNR5uvMMl9QRNTecIN4gWc1CR6BxV6U5o1FQPssukO6zQTDo+oHZqspea182Sa5K3eBgZkwBlBsiR\not/QtswDPMx5QpTooeCkhYXEAtPczB1ldWMK4jKq0cNj1YmQI2PFyZhxwq0i7nQT11oXfKDIFo41\nky33MDhNepJCSknio85UfR3NZWDoKm10Bt15QhQAeFt+EAmLOW4hYZHpxlipTvK0/jJnPJdYY5wR\nNniy9wrVWgBJsSiE/JTx08aBiybjrJJuJpE3gZiE5AWlbtF0OGk4XHTRqPm8LA0mueI4wg4JCu0w\nL2SfJ+CoInt7rKsjZDNJmos+Io/cohHSeY8zGKhkqwmMVRdbvlEsS6Z6N0zFOUAknmZu5gq62aFi\n+FkwD+A3KyRJ0cKJ5P94BYg+Ctu4EiR/bYSHxmYIjeTpbqTuAcD9mZBwbz0QAZA9+t4r3JtoI7x0\nO+8sQN+emm7nsT+sY40AUTvlYa+2JwDXniVpV4TYZXxijP33JVQlQuZn2f4v1C724KXw/j8IYI4m\nKRizfO+fzNA21/kbDdoA08o8nw1/m6iUo2up/Mvmb7HQmaZggLHjpHfZAa9D4fkYQ6fWeXzo+xS1\nIMp4h7/7X/zfvLj5OS4tPIB2sEHHqdClH+zKE8EkQYgiU9xlltsUCOOnwmlWGMLNAtN8jS/zOD8g\nThoPdaZZYFjdpOu3OKjM4zaGuKyexD1p4BlskomG2FHi7EgJttUEx9O3GC6n2RgdoedSqLm9LD02\nxrx6kNT/y957B8mR31een7SV5X2194128MAAGGA8OaTIoYYURWlFkUeJkla6O610e9o9mY0zsRd7\nd3FShEJrTifpeCFpSVEixRW5HC6HnKEbP5iBRwNo711577Iqzf1RqOkCODxyKS44GvIbUQF0d1Vm\ndcavX37r/d57X3r4Zf4cjTpXOcYYK5RZo5tL3M9r9LJLngATLL4xg/Hxw88wPLnKC/JDRLU4QbJ4\nrDKBcgVxYw3t83XkoAnHaYUgFMG5V+OnRz9PBScuu8Yp+wIJRxd/0/0hJNnASxEBmwYqMRK8i6/z\nNE8wxzQiFmOsEC1muPH8CVIj3YjHbUZYw0ZgTj/IsUs3UP0NEidbE+4bqDhokCeAFG1y+uGXmNFm\nGc+s4LxiIPTBXm+MpdAE1x0HyfofpCy6KePBmaqz/okJjG4F17kqI+MLCJLEih1kvTLMUM1m0rOA\ngYxedWFuSzwfeie2KmBXBXBDTEvyHuGrfC37XhYaB1G6q/jllmM1RZRk/S3lefkhVRrdWeHTv/0z\nHCoOc+j3/pAa+zK9zq6y3VG26Yi7AbLKfqfcCfyd4NvukNvHbG90tmmPZsdr73ZdtoH67ujTzuq0\nuXcafNp1d4JfJxB3Di2+2/3YaeRp31Rq7KtYGsBTv/ExLrtP0vwf5qFWu/tCv2XqnoD2Nv302yo3\nGodwSVVUh06PvEcl42Vtcwx/qEBwIk9AzLPZP0hFcrFeHaWouZlRbvJAz0vcsA8zr08Q9iSRZBP5\ndrpdHY08QURsZuPHWE1PIowYTLrnqVu7XC8dY1GcpOp2sEcPAjZNFIJkqYouEo4YoVyBvlqCurhE\nyhUlHo0hOAzqogMTES9lTKdACTdBKQvYbEl9rAcGKeHBSY09eoiQZoAt3FTQ2eA+mgyzTriWZSS/\nhdNfoe5S6SLBjqePIh7clNmjh+vGUR6snidlh0hrEQ7btxB9VaqjDjKuCHZFQAvUGCztoMsypbCb\nZcZJiF1IksGYuYJliMzZMiG2sYFdeulnGwc6BfyU8NJ0qIwOL+MNF8gQRsRCo44qN7B6BLZcvVzm\nGHkC6DiI000DFU2tc0y9QsDOYzpFGv0SBCGrBbgmHCEr3sIr+0gSQ8QkpiTZDY1QrvnQr2toCwNY\nYQHvZI6q4SJTirGp1GnUNLJCGEab5NUAHkeZ8ck5EmoXhkskJwTJG0HKyz60zwisnxhHP+Em6E9j\nyXf/yf8oVhPTMFl7RWcsZvDAh2D1NShs3wm6nXRDZxxpJ8fdIg/vVKC0w6Jgv3Ntg3anSaeza26H\nU90djdoJ/J3mnc7uGe5UjnTSL+3qzEXp/D3gzo6+vUmp8+03iM5PE6EB6D8LzyQMNuJ1LKOt3n5r\n1j0B7S0GcJphXs/fj6kJ9Dh2OSjO0VVJsbYziXc4T//UKsP3b9BswFZ1iBulI/iELKJgodoNtFgV\nr5CnW45jCDIO6phI6DjQcdBEZjk7QXKtm2jPHpZboMYS89UHKCg+RtxLGMgU8VK2vRjIlAQfI/Iq\nWs0kmC0yxTJP97+LJecIEywCAiIWPewi+RpkfV7U20bZrB1m2T5AEwVNrPMaZxhjmfvt1xhprpM0\nUhyjhIGMs64zvrNJ1vLSkIL41QIlwUOCGCoNEnQxZ89wrH6LVecIN6NT+KZKeAaLFAecZAmjh1WU\nHpMDS2sIBZtixMtl4URruALXmTIXkGnyImECbLHBEFc4zgGWGGeJVznHRm0YbHj46PN0S3vkCKLj\nwEWVmJLAGIdNoZ9LnLw9Fs3FHj3ESDFgbDFRX8KjlakEXNQCLdfjHlFWGcVg8fbNytHiwl1Vbh5t\nwhI05xxsro3R9RPbDD26wtbGGMVCgHndjb7jxpJFhMkGdknC4yoyPjRPvSRTsxVWGKMo+TB3ZSr/\nj5+ljwZIjXRz1HMBSfgxPQKAblH5q03sUwV6PzZKaS2BvV35tg2/NkjdrcbodCN22rg7u9hO4O+k\nNOy7vtcJ3lrHzztVJe3ut9MV2Sk/bHPNb+ZybENpWwnS+Xo6jtH+XlsVAm8+WMEhgKfLg+/RLoy/\nyFG9sM5bGbDhHoG2AJQMH+aeg7A/xZB/k+t7J0nYXVgHbZJiDKsm0HA7CCpZNG+dhLObg9INVKvB\nP6/9IRvVMWqCC3ekgia3htK6qTDCKl3EmWQRa1ii0OWn4VMp42ZJ6KcvuMFxIclRrnKQG1RxcYFT\nPGc/QpgsH+ZvSMXKJEIRFpjgmuMQBhIxkrzAw+zQz3/Ln9Br7VKyvHxLeoya4GTEXuOV+lkKkh/J\nYWEhUEcjaOWZ3FmFvMgsh1tpgeYOo/o2/q0KjbKD7bE+JuUFBGzOc5aD3OCkdIHVwAC6JBO0snzp\n8feQcwSQMHmSp0gS4+vS45wdPk9TULjJNEO3kwMBqooT5XYMbQ0nVdyoNHiVs9Rw0scOLEmUEn7C\nZ7JEfGmaKNRxIGHSZSbxZWsMKTuMh5aZ5TDZ26PBTESi2QyPzb8MU02Itf60s4SRMTnCdWZvB22F\nyRAhjSVIyKKxv+VfgtHaKuek53iu752s3DhA8UshrG+KMCxg/6oDCiJmUKI65EJQbBy2jk8ooqo1\n6DfhPRIcNNC8ZfrFbZbiU99xzf3olclLc/fzsX/9cf5p5l9yUHqOWfNOY0qnsqOtzqiyn+PhY1/f\n7eZOXXMb8Nq65041SlsVAvuqDqPjuJ1cdqdyRWRfLuhgn3e2aCk82qPT4E7TTfv9dH5yaPPh7ZuO\n1PF9F/tGm84bgghMKrC0epp/8Yf/ktXETSD+vV/yH1LdE9DO50LYuX68viIOX52S4CXozCA6DDSH\nny4pjm2JbBTG6HVtIatNVFmnjx2susRs/SiCKOBoNkgv9CAXmlSafuyQwnjPIj3+OEu5aeoOFTnY\noEtI0EWZLiHBoLpw2x1Zw0mdKm5yhNiojRCnl0uuk1zWTt6+GAYV3AQqBXo3k0QiWfLRIAoNXI06\njYaTuLubvNgajxWR0qhiA7lpcnTlBi5HhdRQlGXXKGl1HSceGqg0bQUM2Pb0seQZYV4YZ6SwwcPG\ny4gBm0Fpi4rg4RXpHPlCiEbNQSHqoanKRMwszlwTn1LG8ok8rzwM2DjQcVGlx4wTMdIsy+PEpS62\nhR160ZBpkqUVaUpFYGNrhJCeYyZ6i6Cco4yHLEE8VDCQWbeGmCktY2oyGX+YldQEomxyNHIFHwUa\nDoXXwqfoUbeIJZKEruZpTpfxDLRGquWsAEvGAZxSjYrgolTx07wiE9ZS+B7Ms9vVj3OsRkTMEHKm\n2Av2kO8OtSKb6gJ8UQIPVCMeNlOjlHwBnNE4vqEiEVeS/hEPrvfXGRlcIexOkbHCJM2ue7F8/8FU\ntmxxsWLxpUM/yX2CF//slxFtC4t9eVsb7Nr0wd3VKZGDfVDudB52Kjfax2hvTnZubHZ2tW1AbtMv\ncsfx2pSG1vF1+2bTPnen2uXu7ruThvlOSpH269udvgVYosxzM09wyXqYi9c7X/nWrnsC2oV8CLsY\nZmBwFV1T2bSGOBd5BVMUWWeYo1wjXe5iJTeFQ6nhoEaj4kB2GSjUCRhFPP4CVGBtfgprTSRTN9ga\nGyGg5Ohx7fKt5DuJu2P41SzvUL/OaekCk8wzgv8NLXKOIHkCVHEi1S2K+HnB9QgpWmPGHuIFPJTp\nqcTpms8wOrWOEZUwkdGbGqbuoOryUMWFVyxx0nEJHQd2VeIf3/okKX+Evxr5R8x2zRD3VRmnjoqO\nq1mBgs1a/yDXI4fYM7o5sXeTQ9Wb+OQiGXeQRXGCb5qPsZEdx87KHPDfpEuME6zlkdM2QXeRIe8G\nX22+B02o8bDyAk5quKwq/fouT4nv55p4hJz9LEO2QVjIkCTGMa7irOg8e+tJ7h95mbMTLyFpBgn6\nyNBKKazg5mUeINIsklcCxK0eCokQfY5tDoZv4qRG3hvk6Yl385D9Iu61Gl1fy+HzlPH3FVAEg6wZ\nJmFMcVicJSl0sVPrx7olMvDgOv1PbJJfClLzuMg1Q4gWOGJ1lMdqSAcErBdlGl9wwCQYUYXKgp/6\nqAfzoIo8YBB1ptCG6gwObfJ48+tohs6/Mv4nstq3ZTj9iFcCS0jymen3Meca5JdyF1HTWeya/sYA\ng/YmJOx3p506aNjvgAXu7IbbyX5tQO+cJNM+RpsiaXPbVsejff67JYntTcw2uNY7fq6/yfvuBONO\nY04nXw93UjWdTssG0HA5qEYifPLYL3CjMgjXv/w9XN+3Rt0T0I4G9zg58DxJR4RsOUyuFONWeIaA\nliNAviWX07Icj71OWg2TXYxS+kKQa08eZ2bmBv9N+I/RlBrrjPCpqX7c0xV6tW26nXE0X5U9RzcP\nD3+T68njzC3MsDI+wYhnHQc6h7iBjoMybiq4cVLlQ3yes77zXLeP8A3eyTjLjLKKnyITLDISWKP2\ngMyye5RZDjPKKlWXm4rmQZOqTJNgkA3KeBGw8ctFAqN5cloAF1VMJGQMhmlZ28M7WYTP2RzL3WD0\n8Dq66CC2nMZdrDKTW+LGxBTu/gpPyE+z2jtGOerjIe0FDibm6N1LkOkPshHoA8Hmo45PI9KaPSli\nsSSN85LrQXbEXiZZwGl/i7MMUMXNw7zIJgO87jxNfVTj1dSD7Ob6OHjqKie8F3mY56ng4VXOckU+\nTngwS5+4w09J/5FHR59DE3W62SVsZ3BUm/xE5lsEKnkUSSf1jwNUu50olsEH61/ilj2MoIwgCyYF\n/OjdKv2/tUYokMKqCXBZ4Jb/EHt2L6WqF8nXYKhrnT7vLrlgkOsHj4Eic9hzlf868n/xl/wSS+4D\nXJZOoNJghDWe5ClmNpfQixrvnfgq5wMFvvndl9+PVlk2PH+exMMOnv3L/5HDf/BJup95HdinRxzs\n0xGd0ro2IHfSB212680GDLRf0+z4fidF0dnltp/Tdle2M086TTzWm7yWjq/b6pROGWLbgt75CaGT\nimnrytvcdvu88UeOsvjPfp7Mn2Xgxb3v8eK+NereSP5kyFYjpLPd1AUXktokrndjCgL96g5r+gj1\nausjdWEriJmUifXGibpSeKUitgQiFrJkIngETK+I7lDJ54LUDY2QlOY+z0Wc9Rpqo0EmG2XDHCHS\ncBF7Jo3pk9g620sVF3Wc1AQnVcWFiEWIDF20QpBqaMgYqGqDXMxPmBTTzCFhUrydmREiy6C5yai5\nxlX5KC6xyjjLuMQKQTHLNHMU8eIwGoyWd8k5Aqj+OvoxCW+sgNNRJa/4sHpsmi4Jn1HCbxSJCUm6\nhTjTxiJ2VWLammNwextlxeRvBj7EltaHkyqj0io5gsxyGAGbgujnJfGBFr9tb6JTpIskWUKkiFLG\ni+gwOd33KkgCTr0CUrvzsMkRRMSiX9xGdjcINXN0VRax00LrM7VoU+pxIyg2A44NRMsi5wiw0D1O\nQfSjmAaj0gYhMUtEWuYWrdQ9t1il6AxQUT3YioDSXyOXjlB4fQy6IOLew68W0KsaSrDJ9NkbBIwS\nx5UrDPg3cS7XKG/7WEpOEx5IMhTeYJgNVE0na4ZRZZ0Bx1vPYvyWqESawpKH6zf7iJyYIiBncXxt\nDRrmG0DY+W+nbrkNjm8WudrmlDuH7HbKCjtpDLiTRuncDG0fq+2qvHuD0sk+RXL3zaL9viW+nUbp\n1IZ3dvidNybbIaE/PkLiyASzt8IUluKQqPxnXd4fdt0T0K6abl7beQAhB+5wAe9gjkwpglprEHLl\nmKvOkMtEYUeG56Ants2R37jEffJrKBi8wjmCZKnYPrBESk0flYYLY9VJtD/OtHcWl1HlvsDr9Hm2\n+YuFX2PdGIN6FMcnCwi9TcyDEl61Qkru4hX5LFlCKDQ5zlXclGmgUCXAHj23FSIwwxynuECCLgoE\nMJDxUiJs5PA2KuTFIKrQIGYlkSsGEdKctl/nBgdJNSuMJHawowLVcQeZf+bDXyqjWxrrvj58E0Ui\npSzqsoFHK9Nj7+K1yoQzRfzxMkLERkpYZHZDzOtTZPEzyQIiFmkiXLJPErDylPByUzzItDBHWMgw\nL/qwbYGa7eRF4SGc1JmU53kw/BK+cAFTkLjFDGU8zNtTxK0euknwgPhSa4BxI8VgJt4KL86CIUu8\n+NAYjX4Jd6SMLcKeGGWRCfboAQnSrjCmPE+YDEX8qDQI1bIs35pBH9DoObJF4PEU5tdECl+NIrzb\nQtV0RNNibu8QMSXJoxPPMsEiYbJs009zU4NFhYzZjfGYRD4UQMYRW4ilAAAgAElEQVQg0RthThhn\nl16C5O7F8v0HWbWrZbb/uwUSfzxE32mLyGwKO17GbJh3aKnbHXAnZdHWeLfBz8m+Drq9IdjkTvC4\nO3u7/dpO6V0bdNu0xd3nbStHXLTs6J1g3jmhBva75/aYsrYUsX0TaZ+v/X5tWoBt9nqp/tppUptD\nrP/myn/OJX3L1L1xRLqy+EbW0fp1Ki96yHyim+YplawuU1/1Un6nF/xS6+o+AFpPnS4xQZweNOqc\n5BIhMuQcIba6Btiy+7FMkbGZq4ScGaSKyV9f/0Umo3PMjM1ybuQFGrJCXOmi+tAeQwubnPhfbmI/\nIGAfVXhh4iEc6AyxwU/wDDdoufjcVNhkgGXGidPNfVxkiA1ucAg3FRSanOd+vq48TkjK4pJqDBhb\nuIw6iQMR8qqfMi4O2rfIlXbhPHTPpFkcHOMzoZ/n3Te+yYHaMv0PbiM5DFRBR5BtEEFtNOlOZ5h3\nTHJzchqPWqbXu0vsYJIPRL/ALr1vjEObYJH32M/wjsTzLAvjPNX9JGuMEiRPjSW8pQrdZgYtUOdU\n7TLHa9dRbR3BYZBz+EkrEYqCD6EB79t7hrAzhRW1mRemkGyBQeKtMdRekHwmhxu3sDYEfM0yr/We\nJOfzcYbXuMApdumliUIRLzWc3M95Vhll0TOB/740B5yLHOUKMiZrx0ZZ7J3CEy1TcbnY1AeoN5wI\nooWEeXtcnE2EDD919O84MnaFdXuYQsRHyMriblbZkgdIyRHGWEG+Q63743qzuvynAuVzPZz7tx8k\n/IlX8Hx58Q2jTWfGR2dqXqc0sG2BV9h3TLYDqNpuw7YLsa0KgX3KA749q6TtM+ycVtPZ5Vc7ztMZ\nUiWyr0hp53y3X9MpVYQ7N0TfeP67Rsn+yhle+nIXi6/8w9X43xPQluoG+pZCM2ehrzpp5h2EtTRN\nRSanhkGyW1c+BfQBHhsRi7XmCCIWR+TrNAUFSTLodW2R133UBY0RzwoOUSe1E2P+mRn0ow6Co2nO\nNl+lgcKLUhF1pIEzpaNebbJjdJNX/FRwU8FFA4UgLV49Q4gcAWq4MBFxUsdbq+Bs6tTcLqJmhqCZ\nJ+HoIiOGCYsZDnMdA5mEFGM+OElGCmHbAke5Rl3W+Fb4GDWniy2pl2XGOe28hGSahMoFcoKfouXA\n08hQNV2UTB9afgNvvYKoWdwcmabc7UK9bX0H0HGwxQAGMn4KuKUKA8Im7+Zr9OX2iJDmhu3Dsmp0\n1ZOcSl3msHWTIXuTsupCFJq3/1CbRAsZYoU0ZcuDLik0kJhjGlNSabiv0eyTkQwbh9REU+o0kdBR\nyQt+Nu0BknaMhNBFRXCzxjBJamzTj4sq2UaIvXIPekJDDNu4fRV62cMR1bGiAiYSltmFojc5HrhI\nWE2TJ0CENAAB8vgiOdyRIgp1DCtAxgpzXThMimgrN4ZtEvxYPfLdKjUrYONCOzpCzxGBfiPMxAuX\nadZ0mrSkfe2ut80Bw50Jfe3EPKnj52LH89rA2wbJTulemxb5TrMcO92Wd4dZdW5gdipT7p5G0/n+\nrbuOZQGmSyPx8FESRybZ2Rli4WWB9M27TfD/cOqegHYzqZF8ph/rqghh0N5TY/yhOcoeD/lzPhAs\nWJZgXQEdDKdCcdzHYn2CquXG8Mp0CQmcdhWvXcJh1mlYCiE7QwOVWs6J9SWBLaufW08c5Bc3P0PI\nlyYpOgiGc9jj0BAVrpw8wuWRI+QJkCKKixpbDOClRMjOMWsdwRREhoQNnuQ/cbxwA6VisuEY5HB9\njlg1zWfCZSqqC//tcNmS4uaqcphL3EeGMA5BJyDkWQ15Of+eX2WHflR0DnIT67CNWRFwpQzWxBBF\nPESrhRbIWb3ojQUOzc4RyBX4ow//BilXlBJeznOGAn5Umi1KAlDEJmtdAwyyyT/l39C3myJpxXjV\nHKHsKDNc3eRn1r+I4IFK2MmuP4ZXLGLaMg1B5VBigfGdNf7oxD8h6wvgFUps04/DoVNUNcoRD46i\nQThRJBEKUfFqrWQ/DLbsAT5lf4yjXKNbiBOnizglYBoTicX6JKubY/AVlb3jGXZ7+4iRIijkGGKD\nJQ4gShajzhU+NPR5qoKbL/ME3cQRsHBRZZVRXuc0O/RRNP2k7SifUT7MmLDKgL1JwM5zQzh0L5bv\nP/hKz8I3ft2i698+wZHfPsfgzQ3MnQQ127xDQlen1U13jhLr3CDs1Ga3JYSdtEm723Wwv9nYBt5O\ngG5z1u24rzdLJGw/2m7GNl3TPn87bKpTpNfJu79xXEGiFo1w5Xd+gZvXA2z/xuL3eRXfOnVPQFss\nWZx97/PMJk/QHJYIPpRGDJgIgoXDVaU558S6KMHrwGMgSwYeSkhlgbrpJusJYyNglmXWN8bJ+vzE\nQnv0sUMfuxwIrrDwwcO4j5ToV7eYHxlDkofZIUvZq9M8JLNybAi9p8VJ+8lzmtcJkmOWw8xwizO5\nC5xbuIgQtTFjAjWPgqHKBKwiR8TrdFsp/FaZD/OZFmdNBC8livjYZJAkUWxEguSQadJNnA/w//Jp\nPsotZrjJQSoLz6LutJZUQM0jdBukp/3YThvJ0eTa8DR2UKLc8DAduEk/W3QTR6WBjxJRUmwxQJQU\n93ERF1XyBDjP/RwbuE5PPsGxnVmcZTcboV7czir+5QpaqkH/wTiy2KSGk3H/Co6eKnpA5IPa56nb\nDkqCh+d4jC1hgE8LH6WJjOIy8fRU6NL2WtkoVOgiQZ+9AyaUJQ8NFPrZoU6ebuK4qFJzOskPBqi+\nx82Op4vXS6fxuMqocoMsIQRsDjHLpLXAi/HHqEpOprvniJKijsYNDlLCi5M6QfLEpBRNXeV85iGO\nMM8ACf6s8etk/IF7sXzfNpX/802uTQRIv/vf8FMXPsnJ2S+xSgvsHNxpkumU+am0wLI9rbztMGxv\nRLY7a7hTftd+fhu423wz7HfLMvtdud5xzE6ZX4PWTaL9aAN6+0bRqR9v89gSMAq8eugn+Q+nPkrq\nT/MUF3b/HlfvrVP3BLR97gIHD8yye7ofT0+Rg4PXsRBZT4zAmojUNBFcAqZPQYwZiCEDCxFrR0Zq\n2Pi78vikIhXBQ01wYYoysmiiCTrVhpuE2EPzmIJuaCRf6eGFww8heQy2xCtc97vxhfNkPX7Cuzmm\nSws0ehX62MWtV9GLTvAKqHaT040rFC0ve3SxygAFzYtLrhIR0xQVLztaP4rQZJANoqToZRe7IuIq\n6+gBDcshECb7RgSqidQywLDLAFs0BYVVZQTZYZBWA1RVB42IimZX6W3sQk2kGlQQ/U0mWSBCGoUm\nTuooGPgoYDKMiEWUFDmCpIiyQx/9vm16cnG6N5MEroWpdmkIHqijYmkGmlBDzluIeRhX1qBu46zV\nOKLdoN7rYHOgH406ZcFNCS8ZwqCARylhY1PCSwOVXnbRqBMR0kSFFFHSLaMRGfrZZpdeUCAaSBJ0\n5sgbfoq2jx36iJDGTQWVBoO33Zy3yBOx05wzXsQQZaqiix0iWEh0kWCQTZJijHVG2dIHWZVH0aQ6\nlzmBIDS/++L7cb1R+tUiyT2V5GNHGLIfJeau0HXgNRqpCrWdffoB9rvVNgB2AmMbgN8s+rTthOzc\nfIQ7jTJty3r7dZ3Jf52GnU7qRb993HrHsdqUTKfO3Ab8veAKe1hdOc0VHuFGZRiefw0S5b/X9Xur\n1D0B7b6xLfp90PXBbe7jIj/L53iNM+RWIjT+kwfnzxWwH29SCygop2owaJAXAjRuqPgrBY4ev0pY\nyVBy+6hNa2yYQ2BDSfDwTPU9PFN6H5ZXga8KbN0YJPB/JokEUiCk+ULoHJMsMNOYY+b8IrJ2i6He\nNS5wCqlk88vzf8V/OPABbgVnODk9y5JnlAXnGBIme84mDUR8lHjdfZKX3Q8gY3CCyzzEi/gpEEyV\nUFcsXj56iqQjAtjE6eEmGgt8CI06D/ESH+OTvDZ9hqen3ombKmkhgoTJCS4zbK/TVUrhvGxQHXZQ\n9mtYiJhIFPHivu1aFIAybpJE2WSQbfrJE8BDubUplwfWoOvzGQgA45A8FyQ/6SFo5XBtNNGuNhjb\n3YQVWo7dXmj8pIY+4KCElygpHuF5Xuc0NZxvdL/LjHONozzECzgEnQl5gfu4RIwka4zQRYIRnDzF\n+ynio1/Y5qe0L7DGCBc4TZowITLM3FbACFhkxRA/3/tJBo1NuvQUFxynmBOnqOJGo04/25zgMp/i\nY2wK/RgOmy963svznrNYGEjflgH34/qulUjD336ZL9qPsTt8hk/94i9QeGGVa1/Y1223KYl2d922\ng2vsg66Tfd1zgRY33p65WGV/cG/bwFNjXzXSpjpg36jT7qzvTujrpEk6w6o6M7Pbpp82v338FETP\n9vCxP/nfuHSjATefbunX3yZ1T0BbFRs0BYX7hfP0skvB9nN/8zzNYQdLP32AjBWlesuJcN3m8KFZ\n3FKB67UjjJxd4lTuIj9z9Yu4+issRA/wquMsA9IW0+Y8j1VfYufmKMIGBE8kabzTSbXbS3EpjL7n\nRpnvI5OLUA9tYEkCHIaa7GSHPhaZwO8psjnRjeLTScsD/Cvf76HJFapo3LQPMSKsMSm0Ot7B5A59\nxS/wSv9pvFqJSDODL1XFeUHHek1C6jPxRQpErTSH0gvslAQ8XCJNhAI+XuYB3EKFEWGdON1UcVHC\nQ41zaHqTIWMPqdvGWWqgvGJiFwWSQ2FS0y1eO0+Abfqpo+GihocSWwywRw8+ii1uf9BB5gE/r7x7\nHMm2OWHN4itVkJdMisN+5of72PH3k62GMUsioWqOd4jP4xysELVSTAoLLAkH+Es+zgkuM84SDlvn\ns/UPc8k4SY4g3Vqcw8p1PsAXuWCdZtGe4AHhZbZxs0MfH+CLJImBAH3sMGks8qj5AmklRMxM0mvG\neU05jS1KhIU42/SzLB2g4XCQF/2sFA9wcfd+ens26fLvsUsvc/VpRMPiqP8qtiKgCg1muEWAHH9+\nLxbw260sG5tbLKcEfvvTDyA/9CS+31f46J9+Gntjjy3rzk3BNm/d3gRsT0qHfXqiMwmwTXd0qjra\nHXHnhBrYB95O+SHcOY2m/V46o15hP5fEBgYBa6iPv/31/4qXdxvw2Twr6RvYtgn22wew4V6pRzDJ\nE2CSeRzoJOiihz38kRyOSBV1o4Gl1pBjTZxqlabuYDs3xHj/CqFImvqcE49Zwk+hxaeK0G0nkDHx\nUqJP3cYTy5M1YlQSfhpJF424CzntJ17rZpMBXGKNSiiIJQrs2DGWNibx2CXmhyZIiWFKeEhKITw4\nyJWCXFg5w16sl3x3gBFhjRlrkZCZR7GbaNRxGxVcWzpK1kIXBLTXsziSAgOxFG65Rsxy0csyMi2q\np4qL4cYW7noVtWKiYpBRwxQCHjYZQlVMpB4LOdtEypg06wpFw0MePwHyqHaDym1gzAkBthiggos6\nDkyCVHGRCQbZHROZPTODu15jMreEd7uCI99k14qxFe5jJTzaoj6AnOWjqzbFqLVKuJZnWpsjKcWY\nZ4oJFnEbNfqau6TMKIuNSYyqymp4jH5li2NcZY4ZdBxESaHSGswcJYWNQAkvNVxMmYuM1jeIV7pQ\n5ToOR51VRm6nC9ZIEyUpxsiJQepobFUHublxhJLuIdcdRItWKNseomKKGe0WSTFGDScR0m+oTX5c\n30/FyZbhqYujuKaGGZ1wcUReJTq2CP0ZHFcy6PnGG+O72puOna7JzmpTIZ0KlLvDotqW+U7lSNvI\nc/ewhc7Y2E4VSfs9NGnJDpWgSv1YiOxGhBRTzPpPsXGtSv3KGrDzA7pWb626Z0MQthjgPi5iIrHB\nELYiMGscJt7sxjNUJjSUwPmOKkvmKIVsCH3NS0Lt5aXYAzx35hHOiK8zKq7wIC+xxQApMczTrsep\nnZY4bb1MXXFiXHYQvzHQmhvkBlMW2RCHKePmpnWIzcw4ITnLmeCLrDwzgdOqc/lXT7AqjhAiwz/h\nj7nAKZ7dfg/lTwSZf7eP4nu92IrAamwMPeIgKiU5iI3YtGDdhl4QTxkEf3cRtQLdT9jEPxSm7lXw\nUKKPHdyUOchNeioZPDs1xpc2sQSBfNTH3Ilxntce5u8cH0Cz6wS6CjjtKnkrQLcUZ4p5TnCZiJ1G\ntx38vvi7XOEEmwxykJu3eeHW2C4Bm1XCyAzQ69gj2+VBrTUwqjIF0Y+NQIQ03cTRqGEJIl9zPcbp\nYoAnCs8wE5mjIalYiCwzTkAvcTZ/mWCwgCoY6Ck/m+5h5l3TjLDOA8LLOKlhCDJ97HAEiWf4iZY5\nBoUmCl1GhkPlZYb3dtHDIpVhlWNcJUOYDCEipPFTwEBpuSl1IAtbWyOUen2MPr5Aj7ZHjCSjrFJH\no4iPNBEquO/V8n1bV/Vzm8x9wcP/XPs4j/33Kzz58RcI/MqLFC+kSXJ74C0tSqQNvG16ojOwqd2J\nd+aBtBUhcKeRpv18veMYnZLCzo67Deadrs0KLdDWJnwY/+4MX/zEo3zr342h//MlTKPccYS3X31P\noC0Iwm8Bv0LrSswCv0SLxvosMASsA//Itu3Cm73eRYUB5knQhY2ALQjMcoj59Az6hoeRyQ0wYWtt\nhErRje2EwHiaOD0IJZuj3ssMiJsIts037HfSTZyQkGWJCbJKiHwpQPpiN2XRg+/9aSp4MFMqQgM8\nZplGTmMt0cOEZxG3t8iScIDaGQcOu0pR9LKaOEDRDCF0wVJlmsulM+h+J5JWx7QkPHaZSXGBbjGO\njIGLKrPaIdwna3STpltN0vNxE6kBwrBAMyLTFFszKkt4EG4vIEGysUIC5SMqDrOBqDWxZIHN+iCL\nxgRnXK8xJi8TIc0y44TJECPZstgLGlsM0MMuw/omx6o3WHCPYanwEf6GHfpuUyVXGWYDXVD5a+Ej\n9EbjhI0MtmzTV99j1NxkTptAkkzcQgUHdaSGgV52cDV4nEscJ2738Kj+ImE7w+f9T2KqIkeka7gG\n6oy4lullhyI+pl9fIlpJsXJuCIUmQXJ0s0f5drrhNHNk1CB/53+SqJIiowVZE4ao4UKjTtROMd1Y\nQBNqZNQQN5mmlnHCK2DpEvpBB8V3+Mhmo+SNCO5IlYwUJmVGyehh2Pz7GST+vuv6bVO6halXqbDN\nlW82yO8ewLtxjN53pBh73zwnPnUF41aG+UaLry7z7UMJ2puAndQI7G9iWrSAFlpKFdiXCrZNN525\n3Z353J2ZJgc0sA5GeOWjx3npqUn25qI0//cSazd1qtY2VKq8nQEbvgfQFgShF/hNYMq27YYgCJ8F\nfh6YAb5u2/YfCILwu8C/AH7vzY5hIdHPNllCGMg0LYW56kGS5W566gkiZopCMkjmpW5QoW98g9Pd\nL7FWPIDDaNBFEoUmGTvMheYpTkqXcNgNlgsT1DUHgmnTLDjo7dshfDDFXGGGkhbAdFeRZYNKzUs2\nGyMUewVnoMyOfRB7xqJhKqzWx9nMjVKx/SzEJrlVO8Se2E/scJze2CYj9grdxPHUKqhNA9WtU5c0\nyqqH0HgGpd5EqRkoTzSoo5ISfFTdCjUkNuxhPOUKwWYRp9hEqlrookp8OIpm1WlYDqqyC1ejSo+x\nRy97rUHAlAmTwYFOES8LTJDQu1muH8B0i3RbaXxGCdsWcFPmMLMk6CJHEAkDG4EUUc5zln7vNoNs\n4qOA3LBxGXUWmxO4qBCRUgCUJA9Lyhi3hGkWmSBDGK9VwpQkXtdOkK8G8At5RiMrTAtzeCiTJoJc\nMvAUKgSaeRxWHQmDOk4UmngoEyLLltLPsnKAQc8mJbxs04eJjJsKeQIErQJusUKc6O24AF/rI3LN\nRqqaOOw6ktFyjCp2ExOJiu0GE4Ta9w/aP4h1/fYqA0iwcxV2rgaBo0wG8tijTgbcdWqhEgthH0bj\nGl6lgmPeJG+1QLxNgdwN5HAnPVKjBeYe9oG8k23uHKjQDqnyAPKMSD4QYXczxKblQPJ4WR89zsXA\ncRYTPvib6+wLAt/+9b3SIxLgFgShHUWwQ2sxP3L75/8eeI7vsLiTtGb5tbIpfKSMKCtbU/iUIo+e\neYqsGiR7PQLPAw/CEfd1/sD4HZ72PsG8OIUhSFzjKFvmAIWanwVtkr1qLwsXD9E3vMGBiXncj97k\ntPwaB6Ql/iLwS6wfGiZ9OEHe66NQDGP6RTbkIYKk8VGkpHjJ6FGeST6J3nCgaw4+y8+xKE4QiqV5\n54Gv8KT0JaaY5zqHeSr101zMnuG+A69y3H2JI1xjiA2qDjevK8eIkiJJjFvCDMeEKxRocp3H+a31\nP+ah7MsoziZSzSLlDbEWHsGWBWwEynh4t/NZntC+TFLsYpt+cgSJkCZFhAvcxzrDbGeHyW7GODh5\nlUt+nb9Qf4GHxReYYp55plBp4KZCmigv8SBJYhhI2EARX8us4jhDQQpwrXwEv6PAqHuVEdao+53c\n8k6h36ZGCvj4ivYuQuRQbIP13QM0BZnwWBoD+bZuvEjpASeVpoMpe4nrlkGJMZ7lXfSyx2FmWWeY\nVUZZZ5gsIWIkOcAyKg02GOI5HuGC4xQIUMNJhjCpkRj8MnARvK4SM+It+iM79Ni79Eo75AiwKQ0y\n7F4nPJPh89/vyv8BrOu3b+nAFVa+arHzoouniu/GPj2F9AsneX/qw5wOzeH5rTLfbMDubXR2sm8t\nb284wr480MGd0a7tDrzNcdc6nm/S2uzsAk4A6m+qvHD/OV7+k0e4cKsXzi9Q/zWTenmF/W3SH536\nrqBt2/auIAh/CGzSurE+a9v21wVB6LJtO3H7OXFBEL7jlNVWEEyTyxxnlz7SQoSsEqLLkWDAuUkV\nDdsHHAACsCaP8OfSLzO7ewzbFHlg6HlKkhcrJ2G85mQnP0zSNKg4PMSbfQTyBR499Bm61Tg5gpyR\nXkO0TdYENz5Fx2VVqZc8FA0vFjY6KqW6l6ruRJccOMNVnK4ihigz6F5DdTaJuFKEzTQeq0QBP/3+\nTVRVJ6sESBOhhoscQRJCN7PSYYr4CJJj3F5iQN+lr2kywdfoi25ge0zyqoekGaOkegiJGV4VzpEj\nwLv4OivCKKuMvmGpD92epD5obHLSuMoNdYas9yZWv0zYmcQWoYiXITZx3/7QqVGn39pmypzDto5R\nFzVCZHBSo4aTJDHyYoC6rNHtjNOQVNYZwkJEk+rIkkE3cY7XrvJE5VlSvhBJNUrWDiGGG1SbXi7k\n7kd2G4w7lnBR45rzKDcch3A3a1wWF9E5xBAbdBNHockSB96wncsY5AlQwc05XiFAa1P35eIj7Nrd\niJpBr7pDTEmQCnRz9PQ1os4EG/IwbqmCnzzbDJAzArjsKvfJFzmyd/P7Bu0fxLp++1ZLVGdUoVyF\nMiKs5ZD/403OV0L8H87HUQyb9f4ZjMMaPY9u8aB0nqnEMs7X65jzkNuDZXsfxNtyvnZMazvoaQQI\n9oIyI1A6pbEQm+CicYatb/XDbI2vb91Cespm89IgpUvb2CkX6CIk2wz6j159L/RIAPgALY6vAHxO\nEISPcucnG97k6zfq1h99kz/7O4lNVjCnD6JMjWEWF8lLW1zyLLNl10nEC5BZxTVfZi/d4P++GaGW\nzBEmjdK/Rk3SSGRL2LMFilturKYMU5ArwkI9zcWja1gRm5wWoFe8TtoqUnvVwinXsBNu7NUY2ak0\nhWCTmqWhFzVsU0RTG7idFQS1QJwsCk0M2+AKBk1LJ2bL3JT20IRVNAwSHKdBjippXNjUjAIpc4E1\neQS/lCdpb7PRKLB8vsaI/BWetiqohhOxYZN2GBhymaCQ47ywRZYKKnvM42fd9nLAXiJGCpdVpdp0\nEzYzxKw0knWdgCQjqSYVxfXGxPMsAkLLhoRFFZdVI/FKBlG4QF5Ywscmu3hJCjF2yGAioVEnRoIU\nUfasXrJmA7FhoRoNBtwbmM1buGsLbHlG2FV7yBLCwzXqjQhblV4aWpx5pUpESlER3NRwYeGh8KrG\nqlhF5OuUabCIyA4WdbaQMNHJUkOjjobAJgFyNK15iqUyWWMIW7YJO28hAo7KZRT3NepqjdWLE1RI\nskoGEZPN2X9PaW6Xr4hZXil+/1TzD2Jdt+qzHf+P3n7ci9q6R+e5XdtgbMMNstxgCFCgqeKuK3QV\nNSqSl8VyELeu0zRt8rbAGiJNVCQUFKSOuNQW4Ko0GMAiYNqoukC5orFS9HLZ0EjqCjXDAFzwlWbr\nDbAFrN3b3xu4d9c6dfvx/1/fCz3yOLBq23YWQBCELwDngES7KxEEoRtIfqcD/PRv9XLkIzN8jp+l\nhpOwnSFrhhEYpyidIWcMU57vRdBCnH3sWYSIzfPxdyAFGhiBPCvex7BFAbMpMVAWSTzdR245Bo8B\n34Diyw2+UflZhJMG8qkqqvcqftlgSLyG96MPkfhWH9m5UeQH97CnLfRSAHNBI6DkGT8+R1jO4BRr\nGMjYCFRsN1vWABPCN+kRLuDCT0jIImJS5wgxkhyhiYTJcGqbgcQsXxga4qr3QRbt9zNtP0WvcpFj\nHxmhgJ+uvRSPXnwZ/VCcwoCHrBymW9BI4SbGGbpxolpFHtBXCNg55JqFuCKhSk1Up4V+M42tCTTG\nFM4PjvOC50Gu8hBhMii0rOn9bINtsCWsMPyRM5xlgY9YL3NBOMXz4n2UOM4EixzlGv2UeY77eLr5\nPgrpMMaiA9duhanHXqQ7GmXACmBJg0yJDYZZx0OZeWuKz5qnWCq+gyQmA8ELBMVWmFXtNo/d85H7\nKOCngB8DmRFSFPFSwcMQy28Mb9DoZ4gFxuwV8uYozdyD7MQHmR78WzzeArZ5jIgUQRPrCISo4KZO\nkyE2+KD9El5b5jPC72DqMjh/6nv5a/gvsq5b9XPf7/l/AHX4h3Teg4AAGRe1SyJ7Kz28wCO83jyD\nVLKwa2CgUMOPzRgCIwiEsG/nC9rkgVVElrhCATnXRJgFc02kpjgp2V4aBQUqEjDJnffNH9bv/MM4\n7//6pt/9XkB7E7hfEASNFtn1TuACrU3kjwO/D/wi8MXvdDVXM8IAACAASURBVIAE3RTxESBPP9uM\nC8sIcmsAbc4OIoomaleT5P0Ngj0Z3M4y95mvMeZdxOMskRHC9LILis2V4Any/giUK/DXazAbQKm6\niU3sUh9Wydt+blw+iuQ2KVR2KF4dItrMcPx9n2ete4jdYi/mkobsamI6ReK7A1QCXiLuJP3yNuvF\nMbYaA5Q8Ll6tPciWMYI7VMAnFxFsmxV7jHV9hLXGGAPuTapOD/WIxqJ6gCwh/HaBnmSKYi7LVMZi\nzTuA4LHYG4sSEnOECwVkl8VJrlHTXUhFg4ZfxvCJ5GU/zrqOalaYjx7Aq5QYULZwDDeoqc7/j733\nirE0Mc/0nj//J+dUOcfO3dNhelKTHM6MSIqiSEWv8joAxq4NQzCcLrS+WsC6MBaG7V2tJYurtbSS\nlhTjcIacYU/omQ7TOVTO6eQc/+iLGnEBC+sVrN3WWFMPUEDdVB3UqRdv1fnO970v2ViCj5SzlIly\nltsYH58XKJjMsIgguKwIPXShQ9P180SYQxN6nOU2cYpo9DAclav2SxTEBMPiJrs+F3dAJBisI/ks\nHrtzPLCP0xNVwlR/cn6+XRxha2GCWn+YQKKOJciHu/bUqBJmH4EcKSwkctk+ek2d4YEtKrkYhVyG\nmdkl2n4P2+4QjiDSbAW53niejcggk75FfjbxDcpaiI3mGMWDNK1GiICvQXCqTLUWp9kOUJUStDU/\neqnDox+cwpjR/m2S++vwN9b1pxsXei2cHnQq0PlJH85fInF4Q9kFckCDf5M+0uVwiv1xK6ThHL5D\nWf3Lr+3xb+Kkjvh/8teZad8UBOHPgbscDpHuAv8MCAB/KgjCbwJbwM//277HpjVCqjNGUK3TL+0x\nzBY+WrTwciD0YUoyRlylFfVgiSIescUZzw0u8wERKqwwyTBbNPCzxAxC14bt7mFNUNtFmRXpO7WD\nMa5C26Ww24cZlLF6Iaz1fjKxHMev3CVficGBgFYzUQY7WKrEzuooHqmG4LE4xV12uyM4HYWYXman\nNsxSZ55kYBef1EDCoeaGqPUiOG2Ri/qHtD0eFrUpPpLO4qHDrLvAcHmHWrXIzEERU5YoB0JUJoKE\nCk2ClTZ6t4Soivg7XTJrWcqjATbCAzwQT1AxDkhJBW4MnCOj7ONxmgQDTSpimDV9mCWmUDC5yHV2\nGaDd9KLnDQaTO+j+Dn3IxCjSEbw8FuaZ4wknuc80SxyQ4RHHuGq/hM9uMyhuE/A36Hl0HEvEq7Yo\n2THWrDGSQgETla7kwUSh3EzQW/NCREAQHRxEFAwilIlS5jY2hqvQdXXq9RBWScWb7iCUobvtwzvW\npixEWW+NEw7XyBsZlmtz+AMVpn2LXNF/yJvC56lWomQ3BhEbNkF/hQEPNHtByr04ebefg1AaNdel\n/Hoa2/j/vj3y70PXR/y/8Zfb1C0O/z4e8e+Lv9b2iOu6/4i/+r96mcOXmP9OKs0Yb6x/kedH3sby\nySwzRZkobTz00Ninj32rn0I7yap3HFOVGWSXBgEiVJjnMYvMcJ+T5EjSuy/CdRVGnoGgSmtU5sPu\nCww0txkI7BC8UgcJyrt7lKZaLIqzZItxan8RQ/GYDH1llboeoFEJQRd0sUtMKTPKJtFohfPOB+hy\nhx+Jr3HLuki9F0KWTQJyg4DYwJBVurIHVeiy0ptkpTWFGuqSVrPkSWL4tMNXdLvQjXuQVYep4hae\nTg+hBdIO/Pn4z7IhjfDf7v8uK7Fx3uEyjziGoptEtAq6dLhCtyJMENMPG2FypBhglxohbnKeChH2\nHg+x/k+nee0//TZTFxboskKAJlEqpMjioYOETZTyYX+lIJFQ82zUJ+l2/PxW7H9noXaM14tfYmRo\nkzOeO1wSr/Ni+xpRs0TJH+T3+E/w99f4r770j/kXjV9nszpCwZfgDeFV+tnlq3yDEbIE3Qd81/oi\nnT6VULqG5DFJTOVwhgWSgTzZh/207oXpvqIzklrnuOcBLdVDwU7wO+bv8DX1z/ms/Bb3vc/gnaxB\nyWb996fxf75GdCZPMZvhnOcj+sZ3+fZvfI3moOdvlD7yN9X1EUf8bfBULiJDahUj3OKs+BHFXowf\nW1eQdROP1MFDBxeBpJhnVN3AEuWfzEnfa71IxsnynP8dBrt7iI5A3RNAvmSiy4Pkg4MEI3V8sSY5\nMhRbcSSfQdMJ4Roina6fTGIPr9wgJFVQZ2xaHh/ZUAJjyYNZ9kAQRrQtRsRN2njRlQ6GqbLQOE5b\n85JMHuDXajgI1IwwRsNDp+zHbKqsm9MEvVVG9A0CYgMvbRxRZDU8woOISXX4WRLeLCPSJqLPxNJc\nHF1AUFzqvgBr6ihvzb7IQnyaBaYPz7Il6KGifHyeILoOgVYbW1IQPC57dj9Z0iiyiYtA3Qyy1xhg\nz+pHocsOXQbwk6CAjUyw0SJq1SkGw+SkFHkhQUwok9GuMc4GY+I6NT1MX2iHqhwmKpYYETbwKQ2q\nQoj7nGCCVRxNpJnwYlZVmq0gW95x2rKOqhjE9BJddHpCgiFxm2OeR8SFIppgUN8Kkd3q4/6Fk9Ri\nQdIT+xSUBLguSS1PrtzHXmuQ/V6GSuZtUt4Dfnr4G/jiNSreCDfPXMJaVxAKDrHTeSL+In6hgXS8\nh6t4noZ8jzjiE8XTaWPX8hixLMeEh7zbe4Hr3YuMyhtkhAM018AvtkjIBWbkRRaYpUoIA5WHndOs\nOi1Svn2eM26QMQpsSkNYryi4VxQq+2mCUoW4XaC8EKfW9dGpp2g3UtiChtxIMunPMuZdJeEWCF2p\nsiGMseaM0F4JYLY05As9+vVdEhTYpw8PbfJ2mrear6AHm6SDe2Q4YLczyFq1n+52EGdbhrrL2qlp\nzg1f50rkxwBU7TA5O8XDwCx3Yzpvzv06P8efkiTLgZZAdXpItoudlHAUl66s8b2zr5AljeXKzDlP\nsB2ZmhtEkh0k0UJ3ukTbNQxVo6PrPK4d48DKkJaz+MwWZkeFJLQ1LzlSHFChhY8BZw/ZtPE2u8im\nw4E/w7o0xh79JChwWf6Ay+I1cmKSeCDPdODR4TomccYFhW1PP9sM8Z77PJ913kLG4oZ4gXojSK+h\nk/X3I6tdVI9JTC/TZIyGkOGY/JgplgjQ5Cbn2V8eYO3aNI0ZL7FMiVggz1p3jEbTjx2Q2K6NU67E\ncU2JfCzFcGyDX/J9HRuRZd8UBz+Tpvy/pBCXHAZe2iDqK+GaLnqyiXQQ+Dt++3bEEX+Vp2LaRtPD\nxsYUHw2dZ0MYw3Jkik6cuhFE7llc8n5IRCmTJ0GWNDYi/ezzYuhtuq7Ou8ILHPj6cASZ72a/jBgx\nQXCxixLZewMUH6boLHtwG5tYvh3sV0NwUsNVwBBVlq0p3u88x7B3C1NRDqNBgy66t0MsdUBRi+Iw\ni8phKFNZjeJN1HCkw2qsCVZp5kJ0nwRwbknwAKS2TfhEkVRonz72kbDJtTO8X/ksTlzGYZuzfMQm\nI5SIkyZLQijgSCIb4ihL4jQtfKwxzjRLhJwa321/kVI9hcfs8VLmhzQ1PzvSAOFIjbvicb5tfJnd\neyNUt6M0mjHEPQerrYAGZSmKTosQNUaocbzziKnsBpuBQe5FjrMhDaPTZZAdopQZLu2SrpYwhjQU\nr4mDSIYDNHpsMQy4JCjwZb7Fd9tfpCX4OO27i2erg9btEDuTJanmmBKXkAWTOAVGeUCEKm285Ehz\nn5McDGbgLMh+m/JanNrtGB08nJ56i//owh+y3DfNk+Q8T9w5fJ4mAZqMsc6P+CwbjDHLAumvXKXP\n2CcT2EfA5UDKMB94zON/pfB3I9b+iCP++jwV0y72YpSLcd7te4GqHiLgNnEkkbbrRVJsVNHARmLP\n7efAytBr6xgVH1PxBVy/yzZDZI0+RAtUvUdXVOiKGp54i7bpp7segnUg48c9FsM/2UIaMLE2OlTE\nMKJrY8oKG70xjIZKqxNES3YRZJuurbFvZihbESTbptUOYiHjjTToSRoCLiGq6LYBokBwqowpavSy\nHoxVjUIwydL0FH5a5MoZ8o9TPJ4/hmreYsQVWOrMHjbN6B+xJoyzJQ5TJoqKQYYD9uhHwkbCpiJH\nyJoZpDrcD59kz80QpkpBTbDCJEtMY8Rl6Lo0nSA8aoMiwM9AttSHsaRimHeoOw51KciGd4gH3mPk\n1QTTxipt2UND9hGmiqNB0R+jJ6kYaNjIzLCIjUSOFA4CU6xwnId8KF+iQYB9+mj7PThNme4tH/7Z\nFkZS5c96P0fJvkfYtrlvnGBOfkJKyROhwuTAEqa2RbadolqP0SQMAqiiSUSo4PM0EW0Lw5LxiU18\ntDBQSVCkwxY1QkT6S0QpkSbLKhNsicN4xA5T44tHpn3Ep46nYtodw0Og1uCxNQ+4BKnTNryIqo3X\ne9hy3nT8rDsTFI041WqU1c15VL1HxF+kg4etTh9es8PF+HusWROUrBE8I3XcQbATCk5ZRHo5hvc3\nNQYT60iaRe5OjbIQwUubpJpntTBJ7SAGezLJE7sQssnnU+ihDrJmYXVlnJJKwG0xGNykIQU+zvIQ\ncRUBJWUSfz5Lp+qj9CRN84Mwq+o0xrREgiK5eh+sw0Emjc+KkyXNVmeEsFvngnqDO8IZHggnCAk1\nxoVVNKdH0YxTk0LYskTak8NQvBSdFHfN0wg4BNwGhq1RkSI0xAD+41WUYZPKVgJer+F4RJxLOoWP\nMpQrMSRjgF3bIaxX+TCTYI8+klaJS72bPGCebWmAsFvlIJSiF1HQ6dJDw4XDs3y8HLgZKm6UrqWT\nNAs8o93CkQUechxrREZuWJTeTIPvCYV4gm92v8Kg9bsEzDRX21dIe7JcUG4ywyJWSsYIaXx77Wv0\nRA/aZAcVAzt+mPaYJ0nD9uP2ICDWEUSXFSbpZ4+4UOQhx6mZYQxXR1N63BNO8YATh29Qf/4BV5+G\ngI844hPEUzHtL3e+xUv7d3jPuMC1x89z5/oz2OMSwckKkbEKESqUejHW6xNk/HuEkjXygRRBX4Uo\nZfrYJxhooLomqtTD3NJo14IwCcr5LqH+IvWVKH2jOxyP3+OSco0CCb7rtqh2BYpWnLodpPUwBO9I\n8CZUfzUBUy6UVfTzdSIjRaJaGdOjEqPEC/JVHnOMDUZZYpqskEIUHXy0ScSKJGfyrGVnsCMSPTTq\nBOkNKYReK/AL8T9h69E9qjzDZGCZOHl+IL3C3c4psm4aj6fDrjBIu+VjYe0kkVSR+cwDfp0/YCU2\nxfuB59nSB/EIHaa7y/zykz9jJTDB/lQfI8ImbZ+PlbEp+B8MOo6XcqCDE9KwHQmnpxKwikiKzW3O\nEKOMLJq87nuZqhAia6f5QetVxtR1zntuMskKIWqkybHBCCHqPOt+yExjlaHdXSJrZULnGgT76kQp\nc6rvAaVOku9s/yyqp0dYqjLg2yFnZHi38ln0cI8tdYT3uYxGjwIJ1pRx/MMVxq0qQeqc4h5dVeMb\nfIVT3Odl+Uf8tPc7eMU299xT/NB6mWfkW5wU7vM87/IHO/8xd7rnmJl4RE0NomKQJM/Q0SrZEZ9C\nnoppx+USl/y7LEsjDPq2MKMqS9U5uhs+WnYIKeMQVOok5RySZGOrIh69TdZMU81HKO6mMFMSomRj\nrkxTup/EzGt0xvwowwbedIeZ849RfT1atg9cAcNW6NkqY9I6ZTvKRmcU95ECCyL0XGJqAU+kTU/V\n8Pga6NJhLnTAWycqlgCQsBBxKBFD8ltkhB2CSo3j3UcMWPt8f/oL7HQHKL2XppGMIkYtksNZomKJ\nHcEh7yTJKAe4AnTRCYoN0m6WsFBBxaAnapheibhSYJolBtjF1iVyepLixwFL884j/P4Gw55NXhbf\nRMbGUFQm5BXCc3XqdpAFe5rCWIaSFaO0b7EujGK48mFJhNDAFGR+LLzIlLDMMFu8I73IrjjACJsc\n5yFpstQI0UUjSpnjPGRQOsDwaNwJn2JJnWKrPUq2NMCJ6CPG+jbwnO2iJdooYo9z4ke8iUXJjTCm\nrFCWotzjNJMs46fBgLhLwxeg2QzSavophyKU1TCr9iQj4hYD4i4hscY2Q7R7Pi42P2LMv8agu8t0\neY0Ba49lfZq2cHh5qdGjg4cs6ach3yOO+ETxVEy74IvTHS9QViP0Te4yN/iY1lU/qzvT7OWHaV4I\nEssUOBG8z0P3GDU7RFCus9idobkbwr2q4py1cRUB989UuC1C1sVKeDAvePC+ZPDsi++xKk9wp3aW\nsFym5MaoGUu8pt2jJMXYrQ9gbao4Fgifc5m6uEDq1B5VwoddjE6ILWuYSXkFGYsVpmgSwEMHA5VY\nJE9fZAcRh2f2b/Pq/o8wZyXevPcq975/Dvu0TPxUlqHEJnmS5ClRsSK4skBcKBKzy8ypT4iLRRQM\nVNtE17uEJouccm/zjHOLrJDGQWRU2OARxxhgl0lthcXZCaJuiS8632VRmEUSbMZYZ8rYoEKYH/ue\nY3F2hkV3hrv3W1wXXiNtjPK8+i4ht0bRiXPDvsC8+Jjz8k1+5P8cJgp1gvhpEqDB4fKlhxF3gwlW\naPu8PBmb4M2xz/OEeVZz02wtT3Bp7kMup9/np5/7C96yPseOMcCcssBtOUNXa5MQchSJk3NTaE6P\nc8It5oXHrDnj5EoZmtth1gbHkUMGmtYlryVZk8fJkWKVCY6bj/nvq/8jbVWBnktorcMz4zcx+6BJ\nAMNVaTgBtnvDbInDT0O+RxzxieKpmPaDxgneHjV4p/ZZbFtkOvyYL579Jo9zJ3l970u8/p0voXoN\nGqf8GCMifdFdLvEh654ximNxpJDLtjRMoZKEYwIY4JlqM/iVdbqjGnq8S9hfJi7kiat5XEWgl/di\n5nXynRAeX4tz8dssvnaCciUBcbDTEj7aZMgSp0hH8PBAOcGgsEOcIl30j5t2RL7DlwjQoI99Dsiw\nlhzljn6cV3I/Yj6+yO3fOMWT0Bz1YBCdLv3sURc2mZO/T0mMkS+l+SeLv01wokI8nSPDAQ+zp1np\nTNHs03jTfpVb1nlEj8PLyg85L93ERmKIbSZY5Q/4DTY6Y+itHi+H3kBTu3yPL/BjvUOFCIvCNLMs\nMM8TskKR+rJNsxuiddLHkjXFjjWE4xVZkGbpoX1czhBgiWlucp45njDNEg0CJI0S/q6J4O0womzx\nOd4iTgl/uIlzQuQZ6TbT7TUK3hgX79/imfYdihfCyHYaw/CRdw+LLgQD7hYu0PYFmAk/Zk58jK1q\n3LYvYvyJFzOgIzwjMza1SSRSYpkpWvio6CEepGdRtB4h6gTj3cO5PRIWMmvWOJs7Y9S/HcXp+5uV\nIBxxxP8feSqmvZKd5vvCIBUpgiDa7EsZkqk8CS3LuLxELp/GkmS8Sgszq9CuBSiFkrSUIKatY8sO\n9qICB9JhrwgtXLuONSqhjvfQvG326aNYSNItedgJjFCuJbBa66zdnCIQr2FmVGxJAh0E1WWmsMIF\n4Tq+ZIMEBWqEaAh+FMGi4QTYN/tISnkG5R3OcJeiHafoxlElA9fr0pE1Bjq7DGrbpP37OCGBdW0U\ncA8bZ4QcJ6RrrDPKA/E099WzDEvriJZFox3mwO5DkB3mhAX2hD7ut08jPIGwr4kv2SUWL9OxvVzv\nXibrz9AVNFTR5IA+Gt0Ad9tnUfxdWqKPg2Yfcb1EVC4jCxb96h5Bt06/sEdH0CmSoN4NUVdDlOQY\nTduPT2yRlPKUiFEmSoAG+/RhCRoJoYTsdBFtG0NSiVIm5paxXZkNYZSwUKWLxLC6i2Fq3DTOYwkm\naW0fR5DoWSqGqeIIAhUhwpY7jGC4dFba8O4qjpGhP1HimP4QRTTwdrqcq99lOTRBS/fxXfk10mSZ\nUldIJko4uoBOlwAN1oUx2pIHn7+J7LGpPA0BH3HEJ4inYtrbGyMUc1/m9MgNZJ9BmRjXuEwynOdK\n6A3eHXuRFj4y0gGrb8yzVpljbXIOgg5CF9wN4Nsc5q19Adiq0N1rsrE6Sn9sn4CnzjUuU15NUb8V\nY29q/DBBwrnOk2+eQEi4CK+6uA8EhJqDlLJ52f82Xxj/NqV4AC9tdhjkgXiCLYZYt8e42zqD5ZGJ\nymW+wjf5Y/uXuGq/xEviVdJClphapDsqEd9rML+2zI9nrqBoBl7aeGkTcBvMu4/x0qIT8bLyzDhe\nGpRbMR7mzjIUW+dU+COeF97jmnCZWiFC/ZtxfhD+ErfPXeDXLvwei7053i58nudG3+bz/jcY0Tf5\nDj/N3dI59neGiY5mQYFqKcZKfIqwXKZJldPTj5h3HzHDItPyIv3CAf+y9KuofpOQr0a1G2JKWeIz\n4tsfj3KStPHyYz7DkLJFQKky3NuiYCV5X3qOOEXMpsb+6jC/P/nrzIbP8Zz7PtnjabasIf6o8StE\nlf+V09Fb7DBIpTVMx/JwLPUIj9ymZEZ5WDtB460t+D/eh//5s5z6zG1+M/Z7fI8vkMoW+Qcr/5Q/\nm/0yP9Bf5uv8Ksd5SFfVmYs9wgZCbpVx1tmRBigNRxn5+1sE3TrrT0PARxzxCeKpmLaomYhxg+Xi\nLMFujUg8zwC7hKgh4nJMecjO2ggr1+ZodgMQAbyQie7i12qYSZXi612a2xpsjcH5KOGUzZmTb3M5\n8gERq8z/VvkHtG/64XUOi31DIIkW879wl/nYQybTy9wKn2ff6sPVYF0e4Fv+L7AtDvBq8UeE7Rqj\niU0MSaHoJnAtkYoTPSwhRsCQFUJilayQ5iHHMVHw0uYg2seiPseab5QsaXpoFIlz4IS50/4cHdFL\nQGrwReW73GhdZKMxhm1J5Jb6uKvKVOYjjOnr/L3k19n5lREe3j/F9qNRvp34Km6fQ2Zom4BeJ0eK\nbYZY6UyiKAbnR67h89aJihWS8TwPtOM08ZMkT5lj5LoZfrbwXRSPxbDnAMKw2Jvne5Uv0/b4KUlx\n7jhnuN88RVQpMajscm//HNvaCKRcppQVRBz62KdGCDFgcXHqXUqBCOutcbL7Q4SSJXzBBs/4b9GR\nD0gSRsKh6kRoWT4kLE5yn1i3wv6DERqpCfjPE5CKU7CSLDLNcR5ihDV+Z+a/oxYIYKIwyA4xivjc\nJoptMSJtkSfFH9q/hk9s8RnpbQbYY6y6xR8+DQEfccQniKfWxu5+CM64BH6QsbGQqTRjNGpBtGgb\nG4mKEUFPdglnmqhRA4/Tweu2CfftYgR8dLxR9IE6+rxNuL+LrLr027tMyKtkOCBvZaj1NLAgoNXw\nhvIMn15nPLDEtLvAgjqLT2gQ8ZV4whSbDIIA2wyRoEATH6VqgmY3SJ+yjyA6HJABXCq7MbplH9nJ\nDILPRcEkRomaJ8QDzwma+JCwcRDZYIw8mxSYoeEGGHR3OMl9JCwUySDhz0ELTBT2GGCKZaZ8SyRP\n5qkbQbacYZa706TdPUZDy4fZU+0hdhpDVLUwE/oqV/S32WAUFxGv3ELEIWpXyPQWka05TBTaH7eV\nW6LElL7EE/sYu/YAKXmfmFhCch127EF2zUFydj9b1VFqwRA+oUZJiuF1O5i2QlfUMTWZjLaDjUvJ\nTFBzQ9Tx4es26D84wOioqIbJpfINbEGmK3uolaOYXo20kOWz0lsszMyRS6RI+O/Qp+6QddOE7Do7\n9hAf8BzBep2gViMSqDDdWWXQ2aesRikRY9cY4HrxMlPBRca8G5zsPGSmvfq05HvEEZ8YnoppO4aM\n899ojPzRE/yxOjYya4xTyGXIPegnejGLO+Qif6VNLJAjoRWICWUe3z+FZaqcOnWXXOJZqqeHyPzi\nFolEHrcmce3+C0wPLDE+vsKJxG0qJ8M8rJwFCfp9W8T7F4j4/VSIcN85yb39c9iyyPjYCvfc0/ho\n8VN8n834AI+Y5gnz3Nx+jmbDz5Uzb2LrImWiSFjsfjDM1vUJwv9lHtXXJUCS93ieDh6qhIlTJEyV\nHiprjOMXW5zw3uWRdYwyUa5xGclnccx3/7DDox8cRAxBpYdKhQj97JM5u0NgrkRtK0nAaZAkT5Uw\n28UxNtYmGTixwRntNj/Pn/K7/DYfcoEuOgkKXDLeYqr5PnovwiPvLFcHn2WTERoEGGUd2d8l7sty\nQrzHZa6RcAu8r19mqTDPXm4MVxHQlTZ5krTwUXeC7FhDzMoLxKQiAAmKJH0F1EmDbWGI3Z0hVn84\nT7T8hONNja8++A6RkRrVTISbT55DSdhEhsv81+f+MUvyNG/on+Ml4SpN/HzAJd7ovcJWfhxjxw/A\nQGKTCzPvc6l8iwl7lVsDJ3lXeIEPm89RfZzg3qQPf7rFbx38C1Lav7vl44gj/q7xVEz7xKU7KH9/\njPBoFZ/QBBN290Yot2LYQy71uxHEsIU8b1HbjeFRTEaHN4gN5eg6HvakPtJf2mO8tcJs6DFdUWdL\nHUVMOLyZfY3F3Cy742myqX64CISho3upEuZO9TyC5BLwV3DTNmZR5dq1K5TTMTzxJj8OXSEmlJCw\nKRNleuAxZl3l3vYzWHEBQbVhQ6KaieD7WpXB6DaTrDDXW+Dcxn0aXh+Ph2bYox8DFQ2DIXYQhSz9\nBAhKdQCC1IkLBcLU8NDhtnCWe+ZpdhpDaB4Dr6fNBqPsioME9RrxvjK62qFA4nCLJLqOrLyB5DcR\nBYff57eoET68LsVL3kzypvF53nWzRN3PoQodRBwKJNjKjXD/6lkOEn3IYybDmW1cDcpE+Ir6TdZi\nD1n0zrNmjoHXwkFilA0MUcWRRQp2HNcROKY8YoYFTEHlmnAZBZOB6A7zV55QubqF7Zvhj+Z/no/u\nXuDR/3WK9mMfa+kpfnj2p0i/nGfFN8U7tZepRiNoWpe6G+CCdoOUWuKaeIVn0+8yEl9Do40VAcuF\nmFjCFiS6fpXEsX3mgo84rd7hduokdlvkMPL6iCM+PTydlL+xHNJX8uh0cCyJds+H1usR9ZQwohL1\n78ch7BI+XaLjBOn2PJQ7MTzBFpJsUiLG3PHHTLFCihxLBzPUc2HsmsRGZ5SiEmXA3iSeKCAGBETX\nQfN36aGjO1BvhNg96Eevd+kdeClvJuGcQ1vXeWCeUUV9ywAAE9lJREFUpi+wQ0SvIGMRi+7Tlb28\nv3oFf6CKjwa7+2PI/T1iU1kiSpkwNcJujSFjm7bmoYafJj56aPidFu2GH7ujYAkKIaGKgoWAQ4ga\nKXIEqbPGOLJrYToKXUenQYAKEepuEEU0GQptYQsSbdtHqxYgIDUJJ0o0zQDFXpKclkTBIPxx3Yfl\nynRFjV1lnLQ0yCBbiDj0UCnbUQqtDA0xRCRUpZfU2WUQUbB5SX4Hr9Bh2xkh7d9D1g7HPgPsYQoK\nZTFGy/YRd4tk3APGhA2KzQS5gwzdhEY8XODM9B0e3s5hcYzvCz/FVneUajOMInSpt0M8yJ7mjXKO\nmhCi6oRZdqeRDRO3K/Gc5x3Cvjp2VOWnYt9hSNuiXgsR1qqgHLbyeGnj1xu0+z0MfDzvvhM6iZ8m\nR6Z9xKeNp2LaNUIo+AlRZas7wmJzlucH38WvNSnWE9y/9QxCwmFY36I57qfSifJB6XmORe8TlUsc\nkGGIHcZZY41xbty4zK33LmFKMomXs8w/f49flv6YTWGYa+7lw2wLQSInGLwS+R7rm1N88zs/h/AA\nXEuAERCOW5htmfJyishshUSm8PFc209OyWBHJEY8m6TZp0gfqtwhpNYQgDpBdrV+nsxNIghgoDLI\nLio9VMfgx2uvsFxoIDGLnyYyFhYSWdIkKRCjRA+NPmUPKyoRE4p46KKSp+JGMVyNuFhEp0vZiHNz\n8TJNrw9tvEW3HmBUXePZxDsUSOCjzRTLBJU6guxyJ7DMkK7io0Uf+6wzhprqMf7LS+ysjVGrh7nh\nXkDAIUaJL/B9Ggch7q+f49LZqwwEdgjQIEr5JxVxzyvvkfy4KrFBgOW9aR7+67P4X60SPVOij33W\naNOr6Tx8/wzimEXq1R1Ex6FSSVAtJvhu4WcYV5Y5N/khliixVRpj42CK8eFVLgav8UX/d5jurRIv\nlxEPROSkSSkapuYLkSLLGGtsM0iDAAUSPOIYmcABHKWPHPEp46mY9p7Vj89IkpTz2DUFc9eDOyMe\nRqNqJdRnDcSgTZwiDTFARKtwNnwHWxUobcTJ/2CA6889S++4xhxPGDq+wVp4lHIvxvGxe1xSr/GY\nObpoDLHNPn1EKeMX1hgTQyiDNhdfeZ/FvnkqpTiILu4PZfSBFpGfytF8HGTp3nG2p9vMJR6S8mTx\nRyuc0m5zRXib8/O32PIPsl0bZOP9KeL9FYZPb7EqT9DETw+NIHVS5IiKFWYHHpKV66xen2NgYpMz\nkdu8YrzJTeUcJTlGkvyh8ZtD7NRGGfLuMe1bOox3rfTxqHKGj8RnGQ+vkPDmcFSJVj5IZ9+L3VVw\nByW8iQ4p8qgYRCkzImwiCC7LYhdd6JKrpnm4eobwQIkL6RsEpTqB/tdxYyIr6jgWEhpd/hW/wGZ8\nlLBcYJ0xdh4MIS+6+M7UGe1f57T3LtsMsczU4QipG6EYTJJ+eZd6LYRzU+XUsXs8dmTauoU9KtLW\nAzgtgWC0jEdt4iDSvBemSBx5coxWJYRou8xkHnJGv82IuEVPUMmpCQi4ZJwc5UCYXTVDjhQP7ePs\nuQNckq4zIOzgp8kJHmCJT+199COO+MTwVFQvuzaWKVOqJmnkwzg1hXIvhlB1cAsS6XP7EBBodwI0\neiGCUo2BwDbrnXFK20lqP4pxP3IGqd/mXOgjwuMlIsMFlFaXAXWbkFPjXesF+sV9ZuQFcqQIUkdl\nn0HqdH0eQoMVVH8PsWYi1hzs12XEPGiJNsW3MzRzQYS0TULN0+9uM+pb47R9jxec95npX+SxOMe9\n4mmcosZEcI0JVrjGc2y5w9TcEJPCChGhjCOKRJIlop4ianUb3WyhWBaBVpuGHWFbGkH3GmyKoxyY\nGWxDoeN6qTshvN4WutXD32mREzOEfFVCYhkxbKE0DdSKge0YODYUnTiOKRGhgl9tEhDqCICGQ8fx\nUDGidGsehhI7zPIICZvZ8AIRp8p7vRc4IM0+Gd6qvIypyQQGK2zXh+nU/Mg5F1+7htbtMeGssaxP\nUZEjxCmy4kzS9AWIzZWR7/lw6yKmrWAhIuo2mZFd8p00ggFD7g5Rt4LhaFy3n8d0FNquD9NUSSkH\nHIvep59dul0PD1onCPgbTHqX8SnXWFNHeOLO8ah9gnvmOdqih+P+B3iFNiKHZ/x79D8N+R5xxCeK\np2LaF+QbHNiXWfroGBUzip2UWHBnYXEO8X2RX37tD2mlAvzJ/t/DKilUfA1+OKdSyqapZyPYXonq\nZpzd+yPsXByi4EkiSi7PBG5hI/Ge/TwLtTlG9E1OBB6wxDQ6HWR6DFLhye5x3rn5MvYpB3Wmiab2\naIdDdEwvu7UB7J6OqNnIyRb3S6eoFGJ8ae4bHK8+Qe9YVPsixNQSr0W+zy999Y8JKnXAJUeaVWeC\nR/YxknKOhhDA/Hh7JBJc4h+98A/5gfoqH/ae5VuNn6OxGsA0ZW5MPYepCwT1KmfiN9naH+FG9hKx\nySyj8Q0+E3mdZaYxJZlVYQKnzyGR3vvJWKUjabztfJZWKcSstMB4cpX9jw1MYoNNcwTZb/E/Xfov\n8KktaoRYYQILmYhZ4Wv5b/F9/yvckC9Qvp5EyXQJnq0iyRb+EzWiJyvM6Is0W0H+yc5v4+2vMRxc\nZ4plOrqHtdYka3sz9E9s4wYt/k/t19gQbjGqCFyJvsWCO0sLH78o/THn9+9g7ej8Z6dHaGQ8HJMe\nEo7XiHKYkX1AhoelU3zj8S/gP17hSvJHjGhb3BDOc7X5Wd7fvUKzFyDsLbE2OkFELJOgSJwSa0w8\nDfkeccQniqdzEWkO4RO7GB4Vq6NC1qUVDCH6bbQLXZbSk1h+BU1oYeeCdO75OfjeEMqzBt75Gk0p\ngJNVyC728W3lq6Qm9ng2/QEhoUaYKl1XZ8c3SF0K8pDjeOhgorBtjfPPFp5nozlK4uQB7YyGGwRN\n6tHr+DFbGlbbQ+RMCUXq0fJ66NX85J0UtzlLzF9hSxvkXekyGl2GpB1mA0/YYZAsKXKkmRKWOSE9\nQBUMJGxcBM5zky1phaC3xijrbLtDPIycpBvTcEwROdzDcWUsQaYnq2Qiu6S9+4iyybC0Sb+0R/jj\nBpieq9Kv7WELEqJo46NNyY2x4k4SDRRpGn6+VfoaA4FNhrRNVJYISA1EyUGQHGxBQm/1OLP1kHCs\njBsV2A8laWkeAkKd5PQB6cAB88IDOpqHkhijKkeY5xElN85mfBRF69FDY5MRcvf7MdsafZM7mIrE\nhjlGlhS2s01YiKBIJmOsotGjQYByOExGzPELnj/iQ+tZFneOEUkWuKhf5xiPeJcXeWQco1YNMWSu\n0Ra9fF34FWqEcFUYTqzRs3QUxaAj6jzbWOZi7xZRvURKKfD1pyHgI474BPFUTHvrSZszShc906br\n6gh1F4/VgaiDlRFYCUwiWg5qp4uh6FhtFeuOiudUC3nCpTXihbJMtRTh2t7z/Fryn3MlcZWCGCcm\nlLBdiUivSlGN81A7jo8mMi7bT1rcHfhZOl4PfVNbyIqOIhmEnRp+upTtJMVeAn2yjaZ3aNV9KIpJ\nT1e4xykkj0Xal+UDnkU3eoxYmzS0ALYkUSaCjzbHxEec5i6LzFAihoNIihyPn+zSJE6KHEPiFpqn\njTet4DoCaqhFoGfic1r0BI2p8AP62WOPATLs/+RatEKEhhAgJj0CA3qGjqvDjjxITQjjCzSx2wqV\ncpyE9wADlc0nXUKii+KaGLaGKarIpsNoeZOSJ8RSfJLl4BQHQga/0GRqeoE+9g83c9QcWVIsM804\na8T1IhU9TBsvDQKsM0Z2rQ+3IZIaPaCBn6bjoy74EZ4c5pgAZLoHBK0mBU+CxfAUrZCHIXed7eIQ\ni5U52lEfLgLBj/NODuQ0Hn+bhJLDEFRe5zWG2cKvNkhEDuhYPnqGRrUYZbi+x4vGNQjBZGDlacj3\nE8rf1o763+Zu/KfxZ/6rPJ2Z9uojwsoLJEf30AaayI7NpLJCsZTi/soZ5Ok8Vlam8lYK5bk24Z/J\nE361QrGaof5BGPsdCZICTLgwbzIVWOHZ9k1ue0/QkTzkWhm2bk4g9ll4j7dp4OcMd9CW7hP/zSKP\njBN0sx76kxtMeVc4LdyFiwKL1Xn+vPCLVDpRxJZNdzlAYjSL3tekaodZFqfYF/uwkciW+ijU+ukM\ne5j1HK4fDrGNhM0jjlEkhouIRo9lpni88JAyUXQ6eI0OlUqMhC9/GEdqJjij3mFY2mJf6GOIHQbZ\n5glzJD9eCWzhI0uaAzI8yzWOVRdRDlz+9ehP4wYFBtnGQ4dpfYkrqatYksQyk/zRgkTImmfaXGbY\n2SWvJcgFkrin4TvKl/iB8Apty0tMLDEib/Ic7/8k8W+CVfrZZYx1LBQiVOhnjxohHnGM13kNyy/T\nKfhZvjrPhWeuER0tsCRMs7W0ToUIJgpLB/OoZYsvznyTdd8Yb/EZduwhZkKL/MPg79JQDw9prnPx\n8DlKt0mGdyjrYSqEMVHQ6GHYGvc6p+jUQlj7GixCyZeEGGCCoapA52lI+BPIp9HAPo0/81/lqZi2\ngMuaM46tivi0w3qxHirtjgd7U6HcTuKIAtawSH88h2b1qCzFGEpvYqcVFtLHSM4eEJkt4qRcttVB\nromXmO4ts6aMsqUM0k5pCEGFJj5G2CJGGUmwGUhusr+QoXg1RSmZYtXr0iGIOOyQV1O4bRHjDQ/k\nXBxklIiBljAwNzwU7+rU6hbuawLdG12cd6osRhyqmQnyY/186dm/IB3fR8SmRIwcSSpE0DgcJ1zl\nJYbYJucmMW2Z+nIYuWHTVQNshiapiTEqhSjdhp9BzzbhCzWm5DVmjRVivjJpJ4/Z1TnRXiSznUVe\nd3nu4DpTqTWsjITcs0jLOaZDi3ygX2DRnqFu5pm3d5lSlrjvHOexOM+aNIbu62KiMO0usSJNUqom\naLeCeFJd0FwsZFp4iVImTJW7nKFGEB9tNHrMOU8Yc9b5l+Hf4G7mHD2fB9HrkpazJMlz0DXJL/RR\n8ZiomIiBFjcWL+NL1zHjErs7wyR9RfR0lxlzkboQYlmZ4PO8wYI0xxueVwiKdayOykZtikVXxLEF\nqkYCs6XjGjL44XrmGVKpL5P2ZOmz9oGdpyHhI474xPBUTNt1BVbtCSJiBZ/QQqNHmSi1Thg3J1Ip\nJGDQQThtEo8UYF1k5eoxLn71Op7RNiu5GdLH9xmdWMFGZIVRTEvmxeY1toUhsmoaewRcVfr4pDtP\ngAauIJIK75No5Ci8naEcTVL2JFkQTsBzQD/QBffHKiwCMyBdsBE7LuaGB/PPNNgEpoFrq/B72+xT\nY396lt3P9HN++jqD8S1C1NhjgCJxFpg9XEdD5joXaeKnIoRxRaguRWFThhgsJ+cPn5wFWD6YZyC6\nxa/O/3Mm9HUmWhvE9AKa9ZBQswNFYA/Yggurt2Hw499cDfAcfr4jD/PIPU7b+ohxZ40pzxJ3OMU1\nnmORGUQcvsD3eFF4B1OSuVs7z05uHCFsE9dyJMnTJEAPDQmbTYbZp48wNfrZ46R7n8/Yb3PD/zx3\nM+cgClZAwkubGRb5Zs+isJKEMAyPreAL1rl19wITzjKjoRXsPY1GLEwtFWTU2KIqhdhX0rzIOwTd\nOt+0v0JEqGL0PFRzcSokweHwwwREoA/uDp+EjMEJHvCZnfc4Mu0jPm0Iruv+h30AQfgP+wBHfOpx\n3f+7vbN7zTEO4/jnKyRk48DWLEPy0grtxNsBoawUpyRxLkRp48RfIK04cUBacuB9irB2rCbkZS9k\nB/OSlZTijC4H9688tJzY73c/vz3Xp+7a71rb97nufbp6nvtlt6mMXHfbic14bkcf2o7jOM7E4c9r\nchzHyQgf2o7jOBnhQ9txHCcjog5tSe2ShiS9ltQROatZUp+kV5JeSDoc6nMlPZA0LOm+pLpI+VMk\nPZHUkypXUp2kq5IGQ99rE/Z7VNJLSc8lXZY0PVV2NZDK7Vr0OuSU4nYOXkcb2pKmAGeB7UArsEfS\nilh5wA/gmJm1AuuBgyGvE+g1s+VAH3AiUv4RYKBinSK3C7hrZiuB1RQXLkbPldQEHALazGwVxQWI\ne1JkVwOJ3a5Fr6EEt7Px2syibBTPkLlXse4EOmLljZN/C9hG8cduCLVGYChCVjPwENgM9IRa1Fxg\nDvB2nHqKfpsonj4wl0LsnlT7uhq2Mt2e7F6H31uK27l4HfPwyAL+vPPhfahFR9IiYA3wiGJnjwGY\n2SdgfoTIM8BxoPL6ydi5i4HPki6Gj6/nJc1MkIuZfQROA6MUt/18NbPeFNlVQilu14jXUJLbuXg9\n6U5ESpoNXAOOmNk3/hSOcdb/m7cDGDOzZ8C/bvKY6AvipwJtwDkzawO+U7zji9ovgKR6YBfQQvHu\nZJakvSmya5Ua8hpKcjsXr2MO7Q/Awop1c6hFQ9JUCrG7zex2KI9Jagjfb4Tw3KyJYyOwU9IIcAXY\nIqkb+BQ59z3wzsweh/V1CtFj9wvFR8YRM/tiZj+Bm8CGRNnVQFK3a8xrKM/tLLyOObT7gaWSWiRN\nB3ZTHCOKyQVgwMy6Kmo9wIHw9X7g9t8/9D+Y2UkzW2hmSyh67DOzfcCdyLljwDtJy0JpK/CKyP0G\nRoF1kmZIUsgeSJRdDaR2u2a8DtlluZ2H1zEPmAPtwDDwBuiMnLUR+Ak8A54CT0L+PKA3vI4HQH3E\n17CJ3ydsoudSnFXvDz3fAOpS9QucAgaB58AlYFrKfV32lsrtWvQ65JTidg5e+/8ecRzHyYhJdyLS\ncRxnMuND23EcJyN8aDuO42SED23HcZyM8KHtOI6TET60HcdxMsKHtuM4Tkb8Ap4QBjRtNX3PAAAA\nAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fe367555950>"
+       "<matplotlib.figure.Figure at 0x7f06960a1e48>"
       ]
      },
      "metadata": {},
@@ -907,9 +896,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fe366cabc10>"
+       "<matplotlib.figure.Figure at 0x7f06934075f8>"
       ]
      },
      "metadata": {},
@@ -950,13 +939,13 @@
     {
      "data": {
       "text/plain": [
-       "array([ (1.0, [0.2712169917165897, -0.04844236597355761, -0.1887902218343974], [0.3889598463000694, 0.8470657529949065, 0.36220139158953857], 2.2746035619924734, 0),\n",
-       "       (1.0, [0.080729018085932, 0.19838688738571317, -0.38053428394017363], [-0.6604834049157511, -0.6893239101986768, 0.2976478097673534], 0.7833467555325838, 0),\n",
-       "       (1.0, [0.019430574216787868, 0.06594180627832635, 0.23329810254580194], [-0.7472138923667574, 0.13227244377548197, -0.651287493870243], 1.1632342240714935, 0),\n",
+       "array([ (1.0, [-0.1382758052991497, -0.3512177196880901, -0.33148352853135243], [0.4185689312254184, 0.515870835450486, -0.7474472094699589], 0.12980877137486158, 0),\n",
+       "       (1.0, [-0.1382758052991497, -0.3512177196880901, -0.33148352853135243], [-0.7887279871402189, -0.41474066458733805, -0.4537602268152112], 0.9055673129689725, 0),\n",
+       "       (1.0, [-0.037141545763691594, 0.3164763430804079, -0.13705878399440294], [0.3855911650385466, 0.7867859791128493, -0.48196190359368796], 0.996776361155944, 0),\n",
        "       ...,\n",
-       "       (1.0, [0.18544614514351207, -0.0113070561851496, 0.5468392238881264], [-0.8006491411918817, 0.43855795172388223, -0.4082007786475368], 1.4358240241589555, 0),\n",
-       "       (1.0, [0.18544614514351207, -0.0113070561851496, 0.5468392238881264], [-0.5150076397044656, -0.34922134026850293, 0.7828228321575105], 1.5771133724329802, 0),\n",
-       "       (1.0, [-0.2722999793764598, 0.22680062445008103, 0.2987060438567475], [0.9207818175032396, -0.2884020326181676, 0.26265017063984586], 2.932342523379745, 0)], \n",
+       "       (1.0, [0.10735654583359178, -0.007276312264885898, -0.05173760352485271], [0.5349120379020222, -0.015907381482490993, 0.8447579931091957], 0.8409377635712494, 0),\n",
+       "       (1.0, [-0.048566216245400286, 0.29160532148505824, 0.31942717397594755], [0.6200960701401188, -0.409911862042636, 0.6689193741801173], 3.8787384499997857, 0),\n",
+       "       (1.0, [0.07888442268099938, -0.14443885526015943, 0.3095767587545024], [0.373899151360205, 0.18819594431853104, 0.9081749342247754], 4.776147593645684, 0)], \n",
        "      dtype=[('wgt', '<f8'), ('xyz', '<f8', (3,)), ('uvw', '<f8', (3,)), ('E', '<f8'), ('delayed_group', '<i4')])"
       ]
      },
@@ -986,8 +975,8 @@
     {
      "data": {
       "text/plain": [
-       "array([ 2.27460356,  0.78334676,  1.16323422, ...,  1.43582402,\n",
-       "        1.57711337,  2.93234252])"
+       "array([ 0.12980877,  0.90556731,  0.99677636, ...,  0.84093776,\n",
+       "        3.87873845,  4.77614759])"
       ]
      },
      "execution_count": 27,
@@ -1023,7 +1012,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.text.Text at 0x7fe3652fd810>"
+       "<matplotlib.text.Text at 0x7f0695818ba8>"
       ]
      },
      "execution_count": 28,
@@ -1032,9 +1021,9 @@
     },
     {
      "data": {
-      "image/png": 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GlUqYsKkZZ/mbetoFju0tliVNMWOz/EnQvh/v08Djdeszgd8lyzuJY2Y+3+OQuiCW9w/K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\nJEmSJEmSJEmSJEmSJEmSJHXm/wHv3X8uqw7iTQAAAABJRU5ErkJggg==\n",
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l2C2QtwG3JLmGzvUYvwL8XmtVSZLG3sAASedk4b+lMz/VM7vN51TVP7ZZmCRpvA0MkKqq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\nrkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fe3675b1f50>"
+       "<matplotlib.figure.Figure at 0x7f06916d3d68>"
       ]
      },
      "metadata": {},
@@ -1081,19 +1070,11 @@
      "metadata": {},
      "output_type": "execute_result"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/usr/lib/pymodules/python2.7/matplotlib/collections.py:548: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
-      "  if self._edgecolors == 'face':\n"
-     ]
-    },
     {
      "data": {
-      "image/png": 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HPnOh1RzoOBe2Z0FuAyRNhdh/glyD6LAiiykAw3ko2Yr24CmcAZXQUALmCLhoBXcXiO8A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\nD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O/JQ8OBPXYkplAEh0GlUdpJ7oZsNHUQwSu8+LIOE39Gj+TZAjRBqAaR0h/zqEnIQ8ai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\n10/XwS8YxvZBMhjwDPKCfrdic6TgyjqmfG+zgIe3sl9FNgDBtKWMQ7+9pgY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qUWM9BKc/isdYh6muBNGcDzU6CErINWJzbqCHr4R7tq6hJPpEDCk7MK2qwx/f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qYxdsNyiiu3cKbqMY5G3EC/3cmxqy+nwGQlO3geid4iCp77AqkoG0U6hdrgxxm5BlUvZBMfMkFc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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fe36516b5d0>"
+       "<matplotlib.figure.Figure at 0x7f06913beda0>"
       ]
      },
      "metadata": {},
@@ -1112,21 +1093,21 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.6"
+   "pygments_lexer": "ipython3",
+   "version": "3.5.1"
   }
  },
  "nbformat": 4,
diff --git a/docs/source/pythonapi/examples/tally-arithmetic.ipynb b/docs/source/pythonapi/examples/tally-arithmetic.ipynb
index 3ec974e057..56b3cb45c1 100644
--- a/docs/source/pythonapi/examples/tally-arithmetic.ipynb
+++ b/docs/source/pythonapi/examples/tally-arithmetic.ipynb
@@ -4,9 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "This notebook shows the how tallies can be combined (added, subtracted, multiplied, etc.) using the Python API in order to create derived tallies. Since no covariance information is obtained, it is assumed that tallies are completely independent of one another when propagating uncertainties. The target problem is a simple pin cell.\n",
-    "\n",
-    "**Note:** that this Notebook was created using the latest Pandas v0.16.1. Everything in the Notebook will wun with older versions of Pandas, but the multi-indexing option in >v0.15.0 makes the tables look prettier."
+    "This notebook shows the how tallies can be combined (added, subtracted, multiplied, etc.) using the Python API in order to create derived tallies. Since no covariance information is obtained, it is assumed that tallies are completely independent of one another when propagating uncertainties. The target problem is a simple pin cell."
    ]
   },
   {
@@ -16,28 +14,12 @@
     "collapsed": false
    },
    "outputs": [],
-   "source": [
-    "%load_ext autoreload\n",
-    "%autoreload 2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
    "source": [
     "import glob\n",
     "from IPython.display import Image\n",
     "import numpy as np\n",
     "\n",
-    "import openmc\n",
-    "from openmc.statepoint import StatePoint\n",
-    "from openmc.summary import Summary\n",
-    "\n",
-    "%matplotlib inline"
+    "import openmc"
    ]
   },
   {
@@ -56,7 +38,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {
     "collapsed": true
    },
@@ -80,7 +62,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {
     "collapsed": false
    },
@@ -115,17 +97,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
-    "# Instantiate a MaterialsFile, add Materials\n",
-    "materials_file = openmc.MaterialsFile()\n",
-    "materials_file.add_material(fuel)\n",
-    "materials_file.add_material(water)\n",
-    "materials_file.add_material(zircaloy)\n",
+    "# Instantiate a Materials collection\n",
+    "materials_file = openmc.Materials((fuel, water, zircaloy))\n",
     "materials_file.default_xs = '71c'\n",
     "\n",
     "# Export to \"materials.xml\"\n",
@@ -141,7 +120,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {
     "collapsed": false
    },
@@ -170,7 +149,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {
     "collapsed": false
    },
@@ -207,7 +186,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {
     "collapsed": false
    },
@@ -234,7 +213,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {
     "collapsed": false
    },
@@ -247,18 +226,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
-    "# Instantiate a GeometryFile\n",
-    "geometry_file = openmc.GeometryFile()\n",
-    "geometry_file.geometry = geometry\n",
-    "\n",
     "# Export to \"geometry.xml\"\n",
-    "geometry_file.export_to_xml()"
+    "geometry.export_to_xml()"
    ]
   },
   {
@@ -270,7 +245,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "metadata": {
     "collapsed": true
    },
@@ -281,14 +256,17 @@
     "inactive = 5\n",
     "particles = 2500\n",
     "\n",
-    "# Instantiate a SettingsFile\n",
-    "settings_file = openmc.SettingsFile()\n",
+    "# Instantiate a Settings object\n",
+    "settings_file = openmc.Settings()\n",
     "settings_file.batches = batches\n",
     "settings_file.inactive = inactive\n",
     "settings_file.particles = particles\n",
-    "settings_file.output = {'tallies': True, 'summary': True}\n",
-    "source_bounds = [-0.63, -0.63, -0.63, 0.63, 0.63, 0.63]\n",
-    "settings_file.set_source_space('box', source_bounds)\n",
+    "settings_file.output = {'tallies': True}\n",
+    "\n",
+    "# Create an initial uniform spatial source distribution over fissionable zones\n",
+    "bounds = [-0.63, -0.63, -0.63, 0.63, 0.63, 0.63]\n",
+    "uniform_dist = openmc.stats.Box(bounds[:3], bounds[3:], only_fissionable=True)\n",
+    "settings_file.source = openmc.source.Source(space=uniform_dist)\n",
     "\n",
     "# Export to \"settings.xml\"\n",
     "settings_file.export_to_xml()"
@@ -303,7 +281,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "metadata": {
     "collapsed": false
    },
@@ -317,9 +295,8 @@
     "plot.pixels = [250, 250]\n",
     "plot.color = 'mat'\n",
     "\n",
-    "# Instantiate a PlotsFile, add Plot, and export to \"plots.xml\"\n",
-    "plot_file = openmc.PlotsFile()\n",
-    "plot_file.add_plot(plot)\n",
+    "# Instantiate a Plots collection and export to \"plots.xml\"\n",
+    "plot_file = openmc.Plots([plot])\n",
     "plot_file.export_to_xml()"
    ]
   },
@@ -332,7 +309,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "metadata": {
     "collapsed": false
    },
@@ -343,51 +320,31 @@
        "0"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# Run openmc in plotting mode\n",
-    "executor = openmc.Executor()\n",
-    "executor.plot_geometry(output=False)"
+    "openmc.plot_geometry(output=False)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": [
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-       "+66vy+je8k19jnf8C5dXIPv86ms56lPdjvaYbyodx3ze+XLE76cXFiD4zPji99z0/AJ4n1lfvJ6f\n",
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-       "QBq+s+8f0ftP+P41axXguP9NWgDuu/Cdfv+N3r/D9/9TAID+A7T/Ae2/gPs/0P4TtP8F7r9J3AIO\n",
-       "9P+g/Udw/9Oygbf7r9D+L7j/DO1/Q/vv4P4/tP8Q7n9E+y/h/k+0/xTuf4X7b+H+X7T/+BPuf3aM\n",
-       "8OHDhw8fPnz4w/4vzcvgeY10sY0AAAAldEVYdGRhdGU6Y3JlYXRlADIwMTUtMTEtMjVUMTQ6MjA6\n",
-       "NTEtMDg6MDDVsKLDAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDE1LTExLTI1VDE0OjIwOjUxLTA4OjAw\n",
-       "pO0afwAAAABJRU5ErkJggg==\n"
-      ],
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPoAAAD6AgMAAAD1grKuAAAABGdBTUEAALGPC/xhBQAAACBjSFJN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\n22U8XwAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -409,19 +366,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
-    "# Instantiate an empty TalliesFile\n",
-    "tallies_file = openmc.TalliesFile()"
+    "# Instantiate an empty Tallies object\n",
+    "tallies_file = openmc.Tallies()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "metadata": {
     "collapsed": false
    },
@@ -434,35 +391,31 @@
     "\n",
     "# Instantiate flux Tally in moderator and fuel\n",
     "tally = openmc.Tally(name='flux')\n",
-    "tally.add_filter(openmc.Filter(type='cell', bins=[fuel_cell.id, moderator_cell.id]))\n",
-    "tally.add_filter(energy_filter)\n",
-    "tally.add_score('flux')\n",
-    "tallies_file.add_tally(tally)\n",
+    "tally.filters = [openmc.Filter(type='cell', bins=[fuel_cell.id, moderator_cell.id])]\n",
+    "tally.filters.append(energy_filter)\n",
+    "tally.scores = ['flux']\n",
+    "tallies_file.append(tally)\n",
     "\n",
     "# Instantiate reaction rate Tally in fuel\n",
     "tally = openmc.Tally(name='fuel rxn rates')\n",
-    "tally.add_filter(openmc.Filter(type='cell', bins=[fuel_cell.id]))\n",
-    "tally.add_filter(energy_filter)\n",
-    "tally.add_score('nu-fission')\n",
-    "tally.add_score('scatter')\n",
-    "tally.add_nuclide(u238)\n",
-    "tally.add_nuclide(u235)\n",
-    "tallies_file.add_tally(tally)\n",
+    "tally.filters = [openmc.Filter(type='cell', bins=[fuel_cell.id])]\n",
+    "tally.filters.append(energy_filter)\n",
+    "tally.scores = ['nu-fission', 'scatter']\n",
+    "tally.nuclides = [u238, u235]\n",
+    "tallies_file.append(tally)\n",
     "\n",
     "# Instantiate reaction rate Tally in moderator\n",
     "tally = openmc.Tally(name='moderator rxn rates')\n",
-    "tally.add_filter(openmc.Filter(type='cell', bins=[moderator_cell.id]))\n",
-    "tally.add_filter(energy_filter)\n",
-    "tally.add_score('absorption')\n",
-    "tally.add_score('total')\n",
-    "tally.add_nuclide(o16)\n",
-    "tally.add_nuclide(h1)\n",
-    "tallies_file.add_tally(tally)"
+    "tally.filters = [openmc.Filter(type='cell', bins=[moderator_cell.id])]\n",
+    "tally.filters.append(energy_filter)\n",
+    "tally.scores = ['absorption', 'total']\n",
+    "tally.nuclides = [o16, h1]\n",
+    "tallies_file.append(tally)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "metadata": {
     "collapsed": true
    },
@@ -471,10 +424,24 @@
     "# K-Eigenvalue (infinity) tallies\n",
     "fiss_rate = openmc.Tally(name='fiss. rate')\n",
     "abs_rate = openmc.Tally(name='abs. rate')\n",
-    "fiss_rate.add_score('nu-fission')\n",
-    "abs_rate.add_score('absorption')\n",
-    "tallies_file.add_tally(fiss_rate)\n",
-    "tallies_file.add_tally(abs_rate)"
+    "fiss_rate.scores = ['nu-fission']\n",
+    "abs_rate.scores = ['absorption']\n",
+    "tallies_file += (fiss_rate, abs_rate)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# Resonance Escape Probability tallies\n",
+    "therm_abs_rate = openmc.Tally(name='therm. abs. rate')\n",
+    "therm_abs_rate.scores = ['absorption']\n",
+    "therm_abs_rate.filters = [openmc.Filter(type='energy', bins=[0., 0.625e-6])]\n",
+    "tallies_file.append(therm_abs_rate)"
    ]
   },
   {
@@ -485,27 +452,27 @@
    },
    "outputs": [],
    "source": [
-    "# Resonance Escape Probability tallies\n",
-    "therm_abs_rate = openmc.Tally(name='therm. abs. rate')\n",
-    "therm_abs_rate.add_score('absorption')\n",
-    "therm_abs_rate.add_filter(openmc.Filter(type='energy', bins=[0., 0.625]))\n",
-    "tallies_file.add_tally(therm_abs_rate)"
+    "# Thermal Flux Utilization tallies\n",
+    "fuel_therm_abs_rate = openmc.Tally(name='fuel therm. abs. rate')\n",
+    "fuel_therm_abs_rate.scores = ['absorption']\n",
+    "fuel_therm_abs_rate.filters = [openmc.Filter(type='energy', bins=[0., 0.625e-6]),\n",
+    "                               openmc.Filter(type='cell', bins=[fuel_cell.id])]\n",
+    "tallies_file.append(fuel_therm_abs_rate)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 19,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
-    "# Thermal Flux Utilization tallies\n",
-    "fuel_therm_abs_rate = openmc.Tally(name='fuel therm. abs. rate')\n",
-    "fuel_therm_abs_rate.add_score('absorption')\n",
-    "fuel_therm_abs_rate.add_filter(openmc.Filter(type='energy', bins=[0., 0.625]))\n",
-    "fuel_therm_abs_rate.add_filter(openmc.Filter(type='cell', bins=[fuel_cell.id]))\n",
-    "tallies_file.add_tally(fuel_therm_abs_rate)"
+    "# Fast Fission Factor tallies\n",
+    "therm_fiss_rate = openmc.Tally(name='therm. fiss. rate')\n",
+    "therm_fiss_rate.scores = ['nu-fission']\n",
+    "therm_fiss_rate.filters = [openmc.Filter(type='energy', bins=[0., 0.625e-6])]\n",
+    "tallies_file.append(therm_fiss_rate)"
    ]
   },
   {
@@ -516,40 +483,23 @@
    },
    "outputs": [],
    "source": [
-    "# Fast Fission Factor tallies\n",
-    "therm_fiss_rate = openmc.Tally(name='therm. fiss. rate')\n",
-    "therm_fiss_rate.add_score('nu-fission')\n",
-    "therm_fiss_rate.add_filter(openmc.Filter(type='energy', bins=[0., 0.625]))\n",
-    "tallies_file.add_tally(therm_fiss_rate)"
+    "# Instantiate energy filter to illustrate Tally slicing\n",
+    "energy_filter = openmc.Filter(type='energy', bins=np.logspace(np.log10(1e-8), np.log10(20), 10))\n",
+    "\n",
+    "# Instantiate flux Tally in moderator and fuel\n",
+    "tally = openmc.Tally(name='need-to-slice')\n",
+    "tally.filters = [openmc.Filter(type='cell', bins=[fuel_cell.id, moderator_cell.id])]\n",
+    "tally.filters.append(energy_filter)\n",
+    "tally.scores = ['nu-fission', 'scatter']\n",
+    "tally.nuclides = [h1, u238]\n",
+    "tallies_file.append(tally)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 21,
    "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# Instantiate energy filter to illustrate Tally slicing\n",
-    "energy_filter = openmc.Filter(type='energy', bins=np.logspace(np.log10(1e-8), np.log10(20), 10))\n",
-    "\n",
-    "# Instantiate flux Tally in moderator and fuel\n",
-    "tally = openmc.Tally(name='need-to-slice')\n",
-    "tally.add_filter(openmc.Filter(type='cell', bins=[fuel_cell.id, moderator_cell.id]))\n",
-    "tally.add_filter(energy_filter)\n",
-    "tally.add_score('nu-fission')\n",
-    "tally.add_score('scatter')\n",
-    "tally.add_nuclide(h1)\n",
-    "tally.add_nuclide(u238)\n",
-    "tallies_file.add_tally(tally)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {
-    "collapsed": true
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -566,7 +516,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 22,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -589,12 +539,11 @@
       "                  888\n",
       "                  888\n",
       "\n",
-      "      Copyright:      2011-2015 Massachusetts Institute of Technology\n",
-      "      License:        http://mit-crpg.github.io/openmc/license.html\n",
-      "      Version:        0.7.0\n",
-      "      Git SHA1:       74ffcb447521c968fb64fdaa63e40598783f2fba\n",
-      "      Date/Time:      2015-11-25 14:20:51\n",
-      "      MPI Processes:  1\n",
+      "      Copyright:      2011-2016 Massachusetts Institute of Technology\n",
+      "      License:        http://openmc.readthedocs.org/en/latest/license.html\n",
+      "      Version:        0.7.1\n",
+      "      Git SHA1:       df280b60eb1c6d7b7f842e05ede734a4883a0fc8\n",
+      "      Date/Time:      2016-05-05 14:51:45\n",
       "\n",
       " ===========================================================================\n",
       " ========================>     INITIALIZATION     <=========================\n",
@@ -621,26 +570,26 @@
       "\n",
       "  Bat./Gen.      k            Average k         \n",
       "  =========   ========   ====================   \n",
-      "        1/1    1.05992                       \n",
-      "        2/1    1.05251                       \n",
-      "        3/1    1.05204                       \n",
-      "        4/1    1.02100                       \n",
-      "        5/1    1.07784                       \n",
-      "        6/1    1.04814                       \n",
-      "        7/1    1.02335    1.03574 +/- 0.01239\n",
-      "        8/1    1.02415    1.03188 +/- 0.00813\n",
-      "        9/1    1.10331    1.04974 +/- 0.01876\n",
-      "       10/1    1.05452    1.05069 +/- 0.01456\n",
-      "       11/1    1.07867    1.05536 +/- 0.01277\n",
-      "       12/1    1.04203    1.05345 +/- 0.01096\n",
-      "       13/1    1.04482    1.05237 +/- 0.00955\n",
-      "       14/1    1.04116    1.05113 +/- 0.00852\n",
-      "       15/1    1.07569    1.05358 +/- 0.00800\n",
-      "       16/1    1.04188    1.05252 +/- 0.00732\n",
-      "       17/1    1.03775    1.05129 +/- 0.00679\n",
-      "       18/1    0.98462    1.04616 +/- 0.00808\n",
-      "       19/1    1.08613    1.04902 +/- 0.00801\n",
-      "       20/1    1.00571    1.04613 +/- 0.00800\n",
+      "        1/1    1.03471                       \n",
+      "        2/1    1.03257                       \n",
+      "        3/1    1.00600                       \n",
+      "        4/1    1.04547                       \n",
+      "        5/1    1.02287                       \n",
+      "        6/1    1.05752                       \n",
+      "        7/1    1.04283    1.05017 +/- 0.00734\n",
+      "        8/1    1.05189    1.05074 +/- 0.00428\n",
+      "        9/1    1.01645    1.04217 +/- 0.00909\n",
+      "       10/1    1.04978    1.04369 +/- 0.00721\n",
+      "       11/1    1.03459    1.04218 +/- 0.00608\n",
+      "       12/1    1.04019    1.04189 +/- 0.00514\n",
+      "       13/1    1.05985    1.04414 +/- 0.00499\n",
+      "       14/1    1.02111    1.04158 +/- 0.00509\n",
+      "       15/1    1.04774    1.04219 +/- 0.00459\n",
+      "       16/1    1.00733    1.03902 +/- 0.00523\n",
+      "       17/1    1.02224    1.03763 +/- 0.00497\n",
+      "       18/1    1.03263    1.03724 +/- 0.00459\n",
+      "       19/1    1.01611    1.03573 +/- 0.00451\n",
+      "       20/1    1.04692    1.03648 +/- 0.00426\n",
       " Creating state point statepoint.20.h5...\n",
       "\n",
       " ===========================================================================\n",
@@ -650,27 +599,27 @@
       "\n",
       " =======================>     TIMING STATISTICS     <=======================\n",
       "\n",
-      " Total time for initialization     =  7.9600E-01 seconds\n",
-      "   Reading cross sections          =  2.1200E-01 seconds\n",
-      " Total time in simulation          =  1.8740E+01 seconds\n",
-      "   Time in transport only          =  1.8727E+01 seconds\n",
-      "   Time in inactive batches        =  2.5970E+00 seconds\n",
-      "   Time in active batches          =  1.6143E+01 seconds\n",
-      "   Time synchronizing fission bank =  2.0000E-03 seconds\n",
-      "     Sampling source sites         =  1.0000E-03 seconds\n",
-      "     SEND/RECV source sites        =  1.0000E-03 seconds\n",
-      "   Time accumulating tallies       =  0.0000E+00 seconds\n",
+      " Total time for initialization     =  7.2500E-01 seconds\n",
+      "   Reading cross sections          =  4.4400E-01 seconds\n",
+      " Total time in simulation          =  1.5547E+01 seconds\n",
+      "   Time in transport only          =  1.5527E+01 seconds\n",
+      "   Time in inactive batches        =  2.2880E+00 seconds\n",
+      "   Time in active batches          =  1.3259E+01 seconds\n",
+      "   Time synchronizing fission bank =  1.0000E-03 seconds\n",
+      "     Sampling source sites         =  0.0000E+00 seconds\n",
+      "     SEND/RECV source sites        =  0.0000E+00 seconds\n",
+      "   Time accumulating tallies       =  1.0000E-03 seconds\n",
       " Total time for finalization       =  2.0000E-03 seconds\n",
-      " Total time elapsed                =  1.9553E+01 seconds\n",
-      " Calculation Rate (inactive)       =  4813.25 neutrons/second\n",
-      " Calculation Rate (active)         =  2322.99 neutrons/second\n",
+      " Total time elapsed                =  1.6291E+01 seconds\n",
+      " Calculation Rate (inactive)       =  5463.29 neutrons/second\n",
+      " Calculation Rate (active)         =  2828.27 neutrons/second\n",
       "\n",
       " ============================>     RESULTS     <============================\n",
       "\n",
-      " k-effective (Collision)     =  1.04597 +/-  0.00663\n",
-      " k-effective (Track-length)  =  1.04613 +/-  0.00800\n",
-      " k-effective (Absorption)    =  1.04087 +/-  0.00627\n",
-      " Combined k-effective        =  1.04322 +/-  0.00570\n",
+      " k-effective (Collision)     =  1.03296 +/-  0.00669\n",
+      " k-effective (Track-length)  =  1.03648 +/-  0.00426\n",
+      " k-effective (Absorption)    =  1.03431 +/-  0.00702\n",
+      " Combined k-effective        =  1.03621 +/-  0.00456\n",
       " Leakage Fraction            =  0.00000 +/-  0.00000\n",
       "\n"
      ]
@@ -681,7 +630,7 @@
        "0"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -690,8 +639,8 @@
     "# Remove old HDF5 (summary, statepoint) files\n",
     "!rm statepoint.*\n",
     "\n",
-    "# Run OpenMC with MPI!\n",
-    "executor.run_simulation()"
+    "# Run OpenMC!\n",
+    "openmc.run()"
    ]
   },
   {
@@ -710,7 +659,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 23,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -718,28 +667,7 @@
    "outputs": [],
    "source": [
     "# Load the statepoint file\n",
-    "sp = StatePoint('statepoint.20.h5')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You may have also noticed we instructed OpenMC to create a summary file with lots of geometry information in it. This can help to produce more sensible output from the Python API, so we will use the summary file to link against."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {
-    "collapsed": false,
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "# Load the summary file and link with statepoint\n",
-    "su = Summary('summary.h5')\n",
-    "sp.link_with_summary(su)"
+    "sp = openmc.StatePoint('statepoint.20.h5')"
    ]
   },
   {
@@ -753,7 +681,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 24,
    "metadata": {
     "collapsed": false
    },
@@ -761,7 +689,7 @@
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -775,21 +703,21 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td> total</td>\n",
-       "      <td> (nu-fission / absorption)</td>\n",
-       "      <td> 1.040687</td>\n",
-       "      <td> 0.010913</td>\n",
+       "      <td>total</td>\n",
+       "      <td>(nu-fission / absorption)</td>\n",
+       "      <td>1.038387</td>\n",
+       "      <td>0.006141</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "  nuclide                      score      mean  std. dev.\n",
-       "0   total  (nu-fission / absorption)  1.040687   0.010913"
+       "  nuclide                      score     mean  std. dev.\n",
+       "0   total  (nu-fission / absorption) 1.04e+00   6.14e-03"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -813,7 +741,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 25,
    "metadata": {
     "collapsed": false
    },
@@ -821,12 +749,13 @@
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>energy [MeV]</th>\n",
+       "      <th>energy low [MeV]</th>\n",
+       "      <th>energy high [MeV]</th>\n",
        "      <th>nuclide</th>\n",
        "      <th>score</th>\n",
        "      <th>mean</th>\n",
@@ -836,22 +765,23 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td> (0.0e+00 - 6.2e-01)</td>\n",
-       "      <td> total</td>\n",
-       "      <td> absorption</td>\n",
-       "      <td> 0.959302</td>\n",
-       "      <td> 0.010033</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>total</td>\n",
+       "      <td>absorption</td>\n",
+       "      <td>0.693337</td>\n",
+       "      <td>0.004109</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "          energy [MeV] nuclide       score      mean  std. dev.\n",
-       "0  (0.0e+00 - 6.2e-01)   total  absorption  0.959302   0.010033"
+       "   energy low [MeV]  energy high [MeV] nuclide       score     mean  std. dev.\n",
+       "0          0.00e+00           6.25e-07   total  absorption 6.93e-01   4.11e-03"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -873,7 +803,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 26,
    "metadata": {
     "collapsed": false
    },
@@ -881,12 +811,13 @@
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>energy [MeV]</th>\n",
+       "      <th>energy low [MeV]</th>\n",
+       "      <th>energy high [MeV]</th>\n",
        "      <th>nuclide</th>\n",
        "      <th>score</th>\n",
        "      <th>mean</th>\n",
@@ -896,22 +827,23 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td> (0.0e+00 - 6.2e-01)</td>\n",
-       "      <td> total</td>\n",
-       "      <td> nu-fission</td>\n",
-       "      <td> 1.09103</td>\n",
-       "      <td> 0.012491</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>total</td>\n",
+       "      <td>nu-fission</td>\n",
+       "      <td>1.203042</td>\n",
+       "      <td>0.0076</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "          energy [MeV] nuclide       score     mean  std. dev.\n",
-       "0  (0.0e+00 - 6.2e-01)   total  nu-fission  1.09103   0.012491"
+       "   energy low [MeV]  energy high [MeV] nuclide       score     mean  std. dev.\n",
+       "0          0.00e+00           6.25e-07   total  nu-fission 1.20e+00   7.60e-03"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -934,7 +866,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 27,
    "metadata": {
     "collapsed": false
    },
@@ -942,12 +874,13 @@
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>energy [MeV]</th>\n",
+       "      <th>energy low [MeV]</th>\n",
+       "      <th>energy high [MeV]</th>\n",
        "      <th>cell</th>\n",
        "      <th>nuclide</th>\n",
        "      <th>score</th>\n",
@@ -958,23 +891,27 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td> (0.0e+00 - 6.2e-01)</td>\n",
-       "      <td> 10000</td>\n",
-       "      <td> total</td>\n",
-       "      <td> absorption</td>\n",
-       "      <td> 0.803182</td>\n",
-       "      <td> 0.008664</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>total</td>\n",
+       "      <td>absorption</td>\n",
+       "      <td>0.748413</td>\n",
+       "      <td>0.004723</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "          energy [MeV]   cell nuclide       score      mean  std. dev.\n",
-       "0  (0.0e+00 - 6.2e-01)  10000   total  absorption  0.803182   0.008664"
+       "   energy low [MeV]  energy high [MeV]   cell nuclide       score     mean  \\\n",
+       "0          0.00e+00           6.25e-07  10000   total  absorption 7.48e-01   \n",
+       "\n",
+       "   std. dev.  \n",
+       "0   4.72e-03  "
       ]
      },
-     "execution_count": 29,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -995,7 +932,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 28,
    "metadata": {
     "collapsed": false
    },
@@ -1003,12 +940,13 @@
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>energy [MeV]</th>\n",
+       "      <th>energy low [MeV]</th>\n",
+       "      <th>energy high [MeV]</th>\n",
        "      <th>cell</th>\n",
        "      <th>nuclide</th>\n",
        "      <th>score</th>\n",
@@ -1019,26 +957,27 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td> (0.0e+00 - 6.2e-01)</td>\n",
-       "      <td> 10000</td>\n",
-       "      <td> total</td>\n",
-       "      <td> (nu-fission / absorption)</td>\n",
-       "      <td> 1.237982</td>\n",
-       "      <td> 0.014179</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>total</td>\n",
+       "      <td>(nu-fission / absorption)</td>\n",
+       "      <td>1.663385</td>\n",
+       "      <td>0.011253</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "          energy [MeV]   cell nuclide                      score      mean  \\\n",
-       "0  (0.0e+00 - 6.2e-01)  10000   total  (nu-fission / absorption)  1.237982   \n",
+       "   energy low [MeV]  energy high [MeV]   cell nuclide  \\\n",
+       "0          0.00e+00           6.25e-07  10000   total   \n",
        "\n",
-       "   std. dev.  \n",
-       "0   0.014179  "
+       "                       score     mean  std. dev.  \n",
+       "0  (nu-fission / absorption) 1.66e+00   1.13e-02  "
       ]
      },
-     "execution_count": 30,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1058,7 +997,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 29,
    "metadata": {
     "collapsed": false
    },
@@ -1066,12 +1005,13 @@
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>energy [MeV]</th>\n",
+       "      <th>energy low [MeV]</th>\n",
+       "      <th>energy high [MeV]</th>\n",
        "      <th>cell</th>\n",
        "      <th>nuclide</th>\n",
        "      <th>score</th>\n",
@@ -1082,26 +1022,27 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td> (0.0e+00 - 6.2e-01)</td>\n",
-       "      <td> 10000</td>\n",
-       "      <td> total</td>\n",
-       "      <td> (((absorption * nu-fission) * absorption) * (n...</td>\n",
-       "      <td> 1.040687</td>\n",
-       "      <td> 0.022989</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>total</td>\n",
+       "      <td>(((absorption * nu-fission) * absorption) * (n...</td>\n",
+       "      <td>1.038387</td>\n",
+       "      <td>0.01316</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "          energy [MeV]   cell nuclide  \\\n",
-       "0  (0.0e+00 - 6.2e-01)  10000   total   \n",
+       "   energy low [MeV]  energy high [MeV]   cell nuclide  \\\n",
+       "0          0.00e+00           6.25e-07  10000   total   \n",
        "\n",
-       "                                               score      mean  std. dev.  \n",
-       "0  (((absorption * nu-fission) * absorption) * (n...  1.040687   0.022989  "
+       "                                               score     mean  std. dev.  \n",
+       "0  (((absorption * nu-fission) * absorption) * (n... 1.04e+00   1.32e-02  "
       ]
      },
-     "execution_count": 31,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1122,7 +1063,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 30,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -1138,7 +1079,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 31,
    "metadata": {
     "collapsed": false
    },
@@ -1146,13 +1087,14 @@
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>cell</th>\n",
-       "      <th>energy [MeV]</th>\n",
+       "      <th>energy low [MeV]</th>\n",
+       "      <th>energy high [MeV]</th>\n",
        "      <th>nuclide</th>\n",
        "      <th>score</th>\n",
        "      <th>mean</th>\n",
@@ -1162,103 +1104,111 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td> 10000</td>\n",
-       "      <td> (0.0e+00 - 6.3e-07)</td>\n",
-       "      <td> (U-238 / total)</td>\n",
-       "      <td> (nu-fission / flux)</td>\n",
-       "      <td> 0.000001</td>\n",
-       "      <td> 8.078651e-09</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>(U-238 / total)</td>\n",
+       "      <td>(nu-fission / flux)</td>\n",
+       "      <td>6.636968e-07</td>\n",
+       "      <td>4.132875e-09</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td> 10000</td>\n",
-       "      <td> (0.0e+00 - 6.3e-07)</td>\n",
-       "      <td> (U-238 / total)</td>\n",
-       "      <td>    (scatter / flux)</td>\n",
-       "      <td> 0.209990</td>\n",
-       "      <td> 2.449396e-03</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>(U-238 / total)</td>\n",
+       "      <td>(scatter / flux)</td>\n",
+       "      <td>2.099856e-01</td>\n",
+       "      <td>1.232455e-03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td> 10000</td>\n",
-       "      <td> (0.0e+00 - 6.3e-07)</td>\n",
-       "      <td> (U-235 / total)</td>\n",
-       "      <td> (nu-fission / flux)</td>\n",
-       "      <td> 0.356117</td>\n",
-       "      <td> 4.364366e-03</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>(U-235 / total)</td>\n",
+       "      <td>(nu-fission / flux)</td>\n",
+       "      <td>3.552458e-01</td>\n",
+       "      <td>2.252681e-03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td> 10000</td>\n",
-       "      <td> (0.0e+00 - 6.3e-07)</td>\n",
-       "      <td> (U-235 / total)</td>\n",
-       "      <td>    (scatter / flux)</td>\n",
-       "      <td> 0.005555</td>\n",
-       "      <td> 6.495710e-05</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>(U-235 / total)</td>\n",
+       "      <td>(scatter / flux)</td>\n",
+       "      <td>5.554345e-03</td>\n",
+       "      <td>3.265385e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td> 10000</td>\n",
-       "      <td> (6.3e-07 - 2.0e+01)</td>\n",
-       "      <td> (U-238 / total)</td>\n",
-       "      <td> (nu-fission / flux)</td>\n",
-       "      <td> 0.007190</td>\n",
-       "      <td> 7.596666e-05</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>2.000000e+01</td>\n",
+       "      <td>(U-238 / total)</td>\n",
+       "      <td>(nu-fission / flux)</td>\n",
+       "      <td>7.126668e-03</td>\n",
+       "      <td>5.296883e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td> 10000</td>\n",
-       "      <td> (6.3e-07 - 2.0e+01)</td>\n",
-       "      <td> (U-238 / total)</td>\n",
-       "      <td>    (scatter / flux)</td>\n",
-       "      <td> 0.227843</td>\n",
-       "      <td> 1.024510e-03</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>2.000000e+01</td>\n",
+       "      <td>(U-238 / total)</td>\n",
+       "      <td>(scatter / flux)</td>\n",
+       "      <td>2.277460e-01</td>\n",
+       "      <td>1.003558e-03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
-       "      <td> 10000</td>\n",
-       "      <td> (6.3e-07 - 2.0e+01)</td>\n",
-       "      <td> (U-235 / total)</td>\n",
-       "      <td> (nu-fission / flux)</td>\n",
-       "      <td> 0.008086</td>\n",
-       "      <td> 6.251590e-05</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>2.000000e+01</td>\n",
+       "      <td>(U-235 / total)</td>\n",
+       "      <td>(nu-fission / flux)</td>\n",
+       "      <td>8.010911e-03</td>\n",
+       "      <td>6.802256e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
-       "      <td> 10000</td>\n",
-       "      <td> (6.3e-07 - 2.0e+01)</td>\n",
-       "      <td> (U-235 / total)</td>\n",
-       "      <td>    (scatter / flux)</td>\n",
-       "      <td> 0.003365</td>\n",
-       "      <td> 1.646663e-05</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>2.000000e+01</td>\n",
+       "      <td>(U-235 / total)</td>\n",
+       "      <td>(scatter / flux)</td>\n",
+       "      <td>3.367794e-03</td>\n",
+       "      <td>1.443644e-05</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "    cell         energy [MeV]          nuclide                score      mean  \\\n",
-       "0  10000  (0.0e+00 - 6.3e-07)  (U-238 / total)  (nu-fission / flux)  0.000001   \n",
-       "1  10000  (0.0e+00 - 6.3e-07)  (U-238 / total)     (scatter / flux)  0.209990   \n",
-       "2  10000  (0.0e+00 - 6.3e-07)  (U-235 / total)  (nu-fission / flux)  0.356117   \n",
-       "3  10000  (0.0e+00 - 6.3e-07)  (U-235 / total)     (scatter / flux)  0.005555   \n",
-       "4  10000  (6.3e-07 - 2.0e+01)  (U-238 / total)  (nu-fission / flux)  0.007190   \n",
-       "5  10000  (6.3e-07 - 2.0e+01)  (U-238 / total)     (scatter / flux)  0.227843   \n",
-       "6  10000  (6.3e-07 - 2.0e+01)  (U-235 / total)  (nu-fission / flux)  0.008086   \n",
-       "7  10000  (6.3e-07 - 2.0e+01)  (U-235 / total)     (scatter / flux)  0.003365   \n",
+       "    cell  energy low [MeV]  energy high [MeV]          nuclide  \\\n",
+       "0  10000          0.00e+00           6.25e-07  (U-238 / total)   \n",
+       "1  10000          0.00e+00           6.25e-07  (U-238 / total)   \n",
+       "2  10000          0.00e+00           6.25e-07  (U-235 / total)   \n",
+       "3  10000          0.00e+00           6.25e-07  (U-235 / total)   \n",
+       "4  10000          6.25e-07           2.00e+01  (U-238 / total)   \n",
+       "5  10000          6.25e-07           2.00e+01  (U-238 / total)   \n",
+       "6  10000          6.25e-07           2.00e+01  (U-235 / total)   \n",
+       "7  10000          6.25e-07           2.00e+01  (U-235 / total)   \n",
        "\n",
-       "      std. dev.  \n",
-       "0  8.078651e-09  \n",
-       "1  2.449396e-03  \n",
-       "2  4.364366e-03  \n",
-       "3  6.495710e-05  \n",
-       "4  7.596666e-05  \n",
-       "5  1.024510e-03  \n",
-       "6  6.251590e-05  \n",
-       "7  1.646663e-05  "
+       "                 score     mean  std. dev.  \n",
+       "0  (nu-fission / flux) 6.64e-07   4.13e-09  \n",
+       "1     (scatter / flux) 2.10e-01   1.23e-03  \n",
+       "2  (nu-fission / flux) 3.55e-01   2.25e-03  \n",
+       "3     (scatter / flux) 5.55e-03   3.27e-05  \n",
+       "4  (nu-fission / flux) 7.13e-03   5.30e-05  \n",
+       "5     (scatter / flux) 2.28e-01   1.00e-03  \n",
+       "6  (nu-fission / flux) 8.01e-03   6.80e-05  \n",
+       "7     (scatter / flux) 3.37e-03   1.44e-05  "
       ]
      },
-     "execution_count": 33,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1277,7 +1227,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 32,
    "metadata": {
     "collapsed": false
    },
@@ -1286,11 +1236,11 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[[  6.65302296e-07]\n",
-      "  [  3.56116716e-01]]\n",
+      "[[[  6.63696783e-07]\n",
+      "  [  3.55245846e-01]]\n",
       "\n",
-      " [[  7.19004460e-03]\n",
-      "  [  8.08598751e-03]]]\n"
+      " [[  7.12666800e-03]\n",
+      "  [  8.01091088e-03]]]\n"
      ]
     }
    ],
@@ -1309,7 +1259,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 33,
    "metadata": {
     "collapsed": false
    },
@@ -1318,9 +1268,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[[ 0.00555516]]\n",
+      "[[[ 0.00555435]]\n",
       "\n",
-      " [[ 0.00336498]]]\n"
+      " [[ 0.00336779]]]\n"
      ]
     }
    ],
@@ -1333,7 +1283,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 34,
    "metadata": {
     "collapsed": false
    },
@@ -1342,8 +1292,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[[ 0.22784316]\n",
-      "  [ 0.00336498]]]\n"
+      "[[[ 0.22774598]\n",
+      "  [ 0.00336779]]]\n"
      ]
     }
    ],
@@ -1364,7 +1314,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 35,
    "metadata": {
     "collapsed": false
    },
@@ -1372,13 +1322,14 @@
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>cell</th>\n",
-       "      <th>energy [MeV]</th>\n",
+       "      <th>energy low [MeV]</th>\n",
+       "      <th>energy high [MeV]</th>\n",
        "      <th>nuclide</th>\n",
        "      <th>score</th>\n",
        "      <th>mean</th>\n",
@@ -1388,53 +1339,63 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td> 10000</td>\n",
-       "      <td> (0.0e+00 - 6.3e-07)</td>\n",
-       "      <td> U-238</td>\n",
-       "      <td> nu-fission</td>\n",
-       "      <td> 0.000002</td>\n",
-       "      <td> 1.450189e-08</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>U-238</td>\n",
+       "      <td>nu-fission</td>\n",
+       "      <td>0.000002</td>\n",
+       "      <td>7.473789e-09</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td> 10000</td>\n",
-       "      <td> (0.0e+00 - 6.3e-07)</td>\n",
-       "      <td> U-235</td>\n",
-       "      <td> nu-fission</td>\n",
-       "      <td> 0.870882</td>\n",
-       "      <td> 7.895515e-03</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>U-235</td>\n",
+       "      <td>nu-fission</td>\n",
+       "      <td>0.861547</td>\n",
+       "      <td>4.131310e-03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td> 10000</td>\n",
-       "      <td> (6.3e-07 - 2.0e+01)</td>\n",
-       "      <td> U-238</td>\n",
-       "      <td> nu-fission</td>\n",
-       "      <td> 0.082484</td>\n",
-       "      <td> 8.253437e-04</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>2.000000e+01</td>\n",
+       "      <td>U-238</td>\n",
+       "      <td>nu-fission</td>\n",
+       "      <td>0.082356</td>\n",
+       "      <td>5.560461e-04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td> 10000</td>\n",
-       "      <td> (6.3e-07 - 2.0e+01)</td>\n",
-       "      <td> U-235</td>\n",
-       "      <td> nu-fission</td>\n",
-       "      <td> 0.092762</td>\n",
-       "      <td> 6.444580e-04</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>6.250000e-07</td>\n",
+       "      <td>2.000000e+01</td>\n",
+       "      <td>U-235</td>\n",
+       "      <td>nu-fission</td>\n",
+       "      <td>0.092574</td>\n",
+       "      <td>7.315442e-04</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "    cell         energy [MeV] nuclide       score      mean     std. dev.\n",
-       "0  10000  (0.0e+00 - 6.3e-07)   U-238  nu-fission  0.000002  1.450189e-08\n",
-       "1  10000  (0.0e+00 - 6.3e-07)   U-235  nu-fission  0.870882  7.895515e-03\n",
-       "2  10000  (6.3e-07 - 2.0e+01)   U-238  nu-fission  0.082484  8.253437e-04\n",
-       "3  10000  (6.3e-07 - 2.0e+01)   U-235  nu-fission  0.092762  6.444580e-04"
+       "    cell  energy low [MeV]  energy high [MeV] nuclide       score     mean  \\\n",
+       "0  10000          0.00e+00           6.25e-07   U-238  nu-fission 1.61e-06   \n",
+       "1  10000          0.00e+00           6.25e-07   U-235  nu-fission 8.62e-01   \n",
+       "2  10000          6.25e-07           2.00e+01   U-238  nu-fission 8.24e-02   \n",
+       "3  10000          6.25e-07           2.00e+01   U-235  nu-fission 9.26e-02   \n",
+       "\n",
+       "   std. dev.  \n",
+       "0   7.47e-09  \n",
+       "1   4.13e-03  \n",
+       "2   5.56e-04  \n",
+       "3   7.32e-04  "
       ]
      },
-     "execution_count": 37,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1447,7 +1408,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 36,
    "metadata": {
     "collapsed": false
    },
@@ -1455,13 +1416,14 @@
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>cell</th>\n",
-       "      <th>energy [MeV]</th>\n",
+       "      <th>energy low [MeV]</th>\n",
+       "      <th>energy high [MeV]</th>\n",
        "      <th>nuclide</th>\n",
        "      <th>score</th>\n",
        "      <th>mean</th>\n",
@@ -1471,103 +1433,123 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td> 10002</td>\n",
-       "      <td> (1.0e-08 - 1.1e-07)</td>\n",
-       "      <td> H-1</td>\n",
-       "      <td> scatter</td>\n",
-       "      <td> 4.630154</td>\n",
-       "      <td> 0.044512</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>1.000000e-08</td>\n",
+       "      <td>1.080060e-07</td>\n",
+       "      <td>H-1</td>\n",
+       "      <td>scatter</td>\n",
+       "      <td>4.599225</td>\n",
+       "      <td>0.015973</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td> 10002</td>\n",
-       "      <td> (1.1e-07 - 1.2e-06)</td>\n",
-       "      <td> H-1</td>\n",
-       "      <td> scatter</td>\n",
-       "      <td> 2.042984</td>\n",
-       "      <td> 0.011429</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>1.080060e-07</td>\n",
+       "      <td>1.166529e-06</td>\n",
+       "      <td>H-1</td>\n",
+       "      <td>scatter</td>\n",
+       "      <td>2.037260</td>\n",
+       "      <td>0.011236</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td> 10002</td>\n",
-       "      <td> (1.2e-06 - 1.3e-05)</td>\n",
-       "      <td> H-1</td>\n",
-       "      <td> scatter</td>\n",
-       "      <td> 1.657517</td>\n",
-       "      <td> 0.008617</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>1.166529e-06</td>\n",
+       "      <td>1.259921e-05</td>\n",
+       "      <td>H-1</td>\n",
+       "      <td>scatter</td>\n",
+       "      <td>1.662552</td>\n",
+       "      <td>0.010280</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td> 10002</td>\n",
-       "      <td> (1.3e-05 - 1.4e-04)</td>\n",
-       "      <td> H-1</td>\n",
-       "      <td> scatter</td>\n",
-       "      <td> 1.863326</td>\n",
-       "      <td> 0.008848</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>1.259921e-05</td>\n",
+       "      <td>1.360790e-04</td>\n",
+       "      <td>H-1</td>\n",
+       "      <td>scatter</td>\n",
+       "      <td>1.872201</td>\n",
+       "      <td>0.012136</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td> 10002</td>\n",
-       "      <td> (1.4e-04 - 1.5e-03)</td>\n",
-       "      <td> H-1</td>\n",
-       "      <td> scatter</td>\n",
-       "      <td> 2.043916</td>\n",
-       "      <td> 0.014195</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>1.360790e-04</td>\n",
+       "      <td>1.469734e-03</td>\n",
+       "      <td>H-1</td>\n",
+       "      <td>scatter</td>\n",
+       "      <td>2.080459</td>\n",
+       "      <td>0.013155</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td> 10002</td>\n",
-       "      <td> (1.5e-03 - 1.6e-02)</td>\n",
-       "      <td> H-1</td>\n",
-       "      <td> scatter</td>\n",
-       "      <td> 2.134458</td>\n",
-       "      <td> 0.007561</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>1.469734e-03</td>\n",
+       "      <td>1.587401e-02</td>\n",
+       "      <td>H-1</td>\n",
+       "      <td>scatter</td>\n",
+       "      <td>2.154996</td>\n",
+       "      <td>0.011975</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
-       "      <td> 10002</td>\n",
-       "      <td> (1.6e-02 - 1.7e-01)</td>\n",
-       "      <td> H-1</td>\n",
-       "      <td> scatter</td>\n",
-       "      <td> 2.209947</td>\n",
-       "      <td> 0.013848</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>1.587401e-02</td>\n",
+       "      <td>1.714488e-01</td>\n",
+       "      <td>H-1</td>\n",
+       "      <td>scatter</td>\n",
+       "      <td>2.218740</td>\n",
+       "      <td>0.008528</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
-       "      <td> 10002</td>\n",
-       "      <td> (1.7e-01 - 1.9e+00)</td>\n",
-       "      <td> H-1</td>\n",
-       "      <td> scatter</td>\n",
-       "      <td> 2.006967</td>\n",
-       "      <td> 0.009368</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>1.714488e-01</td>\n",
+       "      <td>1.851749e+00</td>\n",
+       "      <td>H-1</td>\n",
+       "      <td>scatter</td>\n",
+       "      <td>2.010517</td>\n",
+       "      <td>0.009187</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
-       "      <td> 10002</td>\n",
-       "      <td> (1.9e+00 - 2.0e+01)</td>\n",
-       "      <td> H-1</td>\n",
-       "      <td> scatter</td>\n",
-       "      <td> 0.373895</td>\n",
-       "      <td> 0.002964</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>1.851749e+00</td>\n",
+       "      <td>2.000000e+01</td>\n",
+       "      <td>H-1</td>\n",
+       "      <td>scatter</td>\n",
+       "      <td>0.372022</td>\n",
+       "      <td>0.003196</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "    cell         energy [MeV] nuclide    score      mean  std. dev.\n",
-       "0  10002  (1.0e-08 - 1.1e-07)     H-1  scatter  4.630154   0.044512\n",
-       "1  10002  (1.1e-07 - 1.2e-06)     H-1  scatter  2.042984   0.011429\n",
-       "2  10002  (1.2e-06 - 1.3e-05)     H-1  scatter  1.657517   0.008617\n",
-       "3  10002  (1.3e-05 - 1.4e-04)     H-1  scatter  1.863326   0.008848\n",
-       "4  10002  (1.4e-04 - 1.5e-03)     H-1  scatter  2.043916   0.014195\n",
-       "5  10002  (1.5e-03 - 1.6e-02)     H-1  scatter  2.134458   0.007561\n",
-       "6  10002  (1.6e-02 - 1.7e-01)     H-1  scatter  2.209947   0.013848\n",
-       "7  10002  (1.7e-01 - 1.9e+00)     H-1  scatter  2.006967   0.009368\n",
-       "8  10002  (1.9e+00 - 2.0e+01)     H-1  scatter  0.373895   0.002964"
+       "    cell  energy low [MeV]  energy high [MeV] nuclide    score     mean  \\\n",
+       "0  10002          1.00e-08           1.08e-07     H-1  scatter 4.60e+00   \n",
+       "1  10002          1.08e-07           1.17e-06     H-1  scatter 2.04e+00   \n",
+       "2  10002          1.17e-06           1.26e-05     H-1  scatter 1.66e+00   \n",
+       "3  10002          1.26e-05           1.36e-04     H-1  scatter 1.87e+00   \n",
+       "4  10002          1.36e-04           1.47e-03     H-1  scatter 2.08e+00   \n",
+       "5  10002          1.47e-03           1.59e-02     H-1  scatter 2.15e+00   \n",
+       "6  10002          1.59e-02           1.71e-01     H-1  scatter 2.22e+00   \n",
+       "7  10002          1.71e-01           1.85e+00     H-1  scatter 2.01e+00   \n",
+       "8  10002          1.85e+00           2.00e+01     H-1  scatter 3.72e-01   \n",
+       "\n",
+       "   std. dev.  \n",
+       "0   1.60e-02  \n",
+       "1   1.12e-02  \n",
+       "2   1.03e-02  \n",
+       "3   1.21e-02  \n",
+       "4   1.32e-02  \n",
+       "5   1.20e-02  \n",
+       "6   8.53e-03  \n",
+       "7   9.19e-03  \n",
+       "8   3.20e-03  "
       ]
      },
-     "execution_count": 38,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1576,28 +1558,28 @@
     "# \"Slice\" the H-1 scatter data in the moderator Cell into a new derived Tally\n",
     "need_to_slice = sp.get_tally(name='need-to-slice')\n",
     "slice_test = need_to_slice.get_slice(scores=['scatter'], nuclides=['H-1'],\n",
-    "                                 filters=['cell'], filter_bins=[(moderator_cell.id,)])\n",
+    "                                     filters=['cell'], filter_bins=[(moderator_cell.id,)])\n",
     "slice_test.get_pandas_dataframe()"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.5.1"
   }
  },
  "nbformat": 4,
diff --git a/docs/source/pythonapi/executor.rst b/docs/source/pythonapi/executor.rst
deleted file mode 100644
index ef6693ec9e..0000000000
--- a/docs/source/pythonapi/executor.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-.. _pythonapi_executor:
-
-========
-Executor
-========
-
-.. automodule:: openmc.executor
-    :members:
diff --git a/docs/source/pythonapi/filter.rst b/docs/source/pythonapi/filter.rst
deleted file mode 100644
index f93ba5a158..0000000000
--- a/docs/source/pythonapi/filter.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-.. _pythonapi_filter:
-
-======
-Filter
-======
-
-.. automodule:: openmc.filter
-    :members:
diff --git a/docs/source/pythonapi/geometry.rst b/docs/source/pythonapi/geometry.rst
deleted file mode 100644
index 6b87edb978..0000000000
--- a/docs/source/pythonapi/geometry.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-.. _pythonapi_geometry:
-
-========
-Geometry
-========
-
-.. automodule:: openmc.geometry
-    :members:
diff --git a/docs/source/pythonapi/index.rst b/docs/source/pythonapi/index.rst
index 6d513d5d5b..09b3d5135e 100644
--- a/docs/source/pythonapi/index.rst
+++ b/docs/source/pythonapi/index.rst
@@ -13,60 +13,9 @@ online. We recommend going through the modules from Codecademy_ and/or the
 `Scipy lectures`_. The full API documentation serves to provide more information
 on a given module or class.
 
-**Handling nuclear data:**
-
-.. toctree::
-    :maxdepth: 1
-
-    ace
-
-**Creating input files:**
-
-.. toctree::
-    :maxdepth: 1
-
-    cmfd
-    element
-    filter
-    geometry
-    material
-    mesh
-    nuclide
-    opencg_compatible
-    plots
-    settings
-    surface
-    tallies
-    trigger
-    universe
-
-**Running OpenMC:**
-
-.. toctree::
-    :maxdepth: 1
-
-    executor
-
-**Post-processing:**
-
-.. toctree::
-    :maxdepth: 1
-
-    particle_restart
-    statepoint
-    summary
-    tallies
-
-**Multi-Group Cross Section Generation**
-
-.. toctree::
-    :maxdepth: 1
-
-    mgxs
-    energy_groups
-    mgxs_library
-
-**Example Jupyter Notebooks:**
+-------------------------
+Example Jupyter Notebooks
+-------------------------
 
 .. toctree::
     :maxdepth: 1
@@ -77,6 +26,305 @@ on a given module or class.
     examples/mgxs-part-i
     examples/mgxs-part-ii
     examples/mgxs-part-iii
+    examples/mgxs-part-iv
+
+------------------------------------
+:mod:`openmc` -- Basic Functionality
+------------------------------------
+
+Handling nuclear data
+---------------------
+
+Classes
++++++++
+
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+   :template: myclass.rst
+
+   openmc.XSdata
+   openmc.MGXSLibrary
+
+Functions
++++++++++
+
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+
+   openmc.ace.ascii_to_binary
+
+Simulation Settings
+-------------------
+
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+   :template: myclass.rst
+
+   openmc.Source
+   openmc.ResonanceScattering
+   openmc.Settings
+
+Material Specification
+----------------------
+
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+   :template: myclass.rst
+
+   openmc.Nuclide
+   openmc.Element
+   openmc.Macroscopic
+   openmc.Material
+   openmc.Materials
+
+Building geometry
+-----------------
+
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+   :template: myclass.rst
+
+   openmc.Plane
+   openmc.XPlane
+   openmc.YPlane
+   openmc.ZPlane
+   openmc.XCylinder
+   openmc.YCylinder
+   openmc.ZCylinder
+   openmc.Sphere
+   openmc.Cone
+   openmc.XCone
+   openmc.YCone
+   openmc.ZCone
+   openmc.Quadric
+   openmc.Halfspace
+   openmc.Intersection
+   openmc.Union
+   openmc.Complement
+   openmc.Cell
+   openmc.Universe
+   openmc.RectLattice
+   openmc.HexLattice
+   openmc.Geometry
+
+Many of the above classes are derived from several abstract classes:
+
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+   :template: myclass.rst
+
+   openmc.Surface
+   openmc.Region
+   openmc.Lattice
+
+One function is also available to create a hexagonal region defined by the
+intersection of six surface half-spaces.
+
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+   :template: myfunction.rst
+
+   openmc.make_hexagon_region
+
+Constructing Tallies
+--------------------
+
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+   :template: myclass.rst
+
+   openmc.Filter
+   openmc.Mesh
+   openmc.Trigger
+   openmc.Tally
+   openmc.Tallies
+
+Coarse Mesh Finite Difference Acceleration
+------------------------------------------
+
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+   :template: myclass.rst
+
+   openmc.CMFDMesh
+   openmc.CMFD
+
+Plotting
+--------
+
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+   :template: myclass.rst
+
+   openmc.Plot
+   openmc.Plots
+
+Running OpenMC
+--------------
+
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+   :template: myfunction.rst
+
+   openmc.run
+   openmc.plot_geometry
+
+Post-processing
+---------------
+
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+   :template: myclass.rst
+
+   openmc.Particle
+   openmc.StatePoint
+   openmc.Summary
+
+Various classes may be created when performing tally slicing and/or arithmetic:
+
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+   :template: myclass.rst
+
+   openmc.arithmetic.CrossScore
+   openmc.arithmetic.CrossNuclide
+   openmc.arithmetic.CrossFilter
+   openmc.arithmetic.AggregateScore
+   openmc.arithmetic.AggregateNuclide
+   openmc.arithmetic.AggregateFilter
+
+---------------------------------
+:mod:`openmc.stats` -- Statistics
+---------------------------------
+
+Univariate Probability Distributions
+------------------------------------
+
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+   :template: myclass.rst
+
+   openmc.stats.Univariate
+   openmc.stats.Discrete
+   openmc.stats.Uniform
+   openmc.stats.Maxwell
+   openmc.stats.Watt
+   openmc.stats.Tabular
+
+Angular Distributions
+---------------------
+
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+   :template: myclass.rst
+
+   openmc.stats.UnitSphere
+   openmc.stats.PolarAzimuthal
+   openmc.stats.Isotropic
+   openmc.stats.Monodirectional
+
+Spatial Distributions
+---------------------
+
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+   :template: myclass.rst
+
+   openmc.stats.Spatial
+   openmc.stats.CartesianIndependent
+   openmc.stats.Box
+   openmc.stats.Point
+
+----------------------------------------------------------
+:mod:`openmc.mgxs` -- Multi-Group Cross Section Generation
+----------------------------------------------------------
+
+Energy Groups
+-------------
+
+.. autosummary::
+    :toctree: generated
+    :nosignatures:
+    :template: myclass.rst
+
+    openmc.mgxs.EnergyGroups
+
+Multi-group Cross Sections
+--------------------------
+
+.. autosummary::
+    :toctree: generated
+    :nosignatures:
+    :template: myclassinherit.rst
+
+    openmc.mgxs.MGXS
+    openmc.mgxs.AbsorptionXS
+    openmc.mgxs.CaptureXS
+    openmc.mgxs.Chi
+    openmc.mgxs.FissionXS
+    openmc.mgxs.KappaFissionXS
+    openmc.mgxs.MultiplicityMatrixXS
+    openmc.mgxs.NuFissionXS
+    openmc.mgxs.NuFissionMatrixXS
+    openmc.mgxs.NuScatterXS
+    openmc.mgxs.NuScatterMatrixXS
+    openmc.mgxs.ScatterXS
+    openmc.mgxs.ScatterMatrixXS
+    openmc.mgxs.TotalXS
+    openmc.mgxs.TransportXS
+
+Multi-group Cross Section Libraries
+-----------------------------------
+
+.. autosummary::
+    :toctree: generated
+    :nosignatures:
+    :template: myclass.rst
+
+    openmc.mgxs.Library
+
+-------------------------------------
+:mod:`openmc.model` -- Model Building
+-------------------------------------
+
+TRISO Fuel Modeling
+-------------------
+
+Classes
++++++++
+
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+   :template: myclass.rst
+
+   openmc.model.TRISO
+
+Functions
++++++++++
+
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+
+   openmc.model.create_triso_lattice
+
 
 .. _Jupyter: https://jupyter.org/
 .. _NumPy: http://www.numpy.org/
diff --git a/docs/source/pythonapi/material.rst b/docs/source/pythonapi/material.rst
deleted file mode 100644
index 16a3af7012..0000000000
--- a/docs/source/pythonapi/material.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-.. _pythonapi_material:
-
-=========
-Materials
-=========
-
-.. automodule:: openmc.material
-    :members:
diff --git a/docs/source/pythonapi/mesh.rst b/docs/source/pythonapi/mesh.rst
deleted file mode 100644
index dbecd7c31d..0000000000
--- a/docs/source/pythonapi/mesh.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-.. _pythonapi_mesh:
-
-====
-Mesh
-====
-
-.. automodule:: openmc.mesh
-    :members:
diff --git a/docs/source/pythonapi/mgxs.rst b/docs/source/pythonapi/mgxs.rst
deleted file mode 100644
index c7084e5653..0000000000
--- a/docs/source/pythonapi/mgxs.rst
+++ /dev/null
@@ -1,66 +0,0 @@
-.. _pythonapi_mgxs:
-
-==========================
-Multi-Group Cross Sections
-==========================
-
-.. currentmodule:: openmc.mgxs.mgxs
-
-----------------------------
-Summary of Available Classes
-----------------------------
-
-.. autosummary::
-
-   MGXS
-   AbsorptionXS
-   CaptureXS
-   Chi
-   FissionXS
-   NuFissionXS
-   NuScatterXS
-   NuScatterMatrixXS
-   ScatterXS
-   ScatterMatrixXS
-   TotalXS
-   TransportXS
-
--------------------
-Class Documentation
--------------------
-
-.. autoclass:: MGXS
-    :members:
-
-.. autoclass:: AbsorptionXS
-    :members:
-
-.. autoclass:: CaptureXS
-    :members:
-
-.. autoclass:: Chi
-    :members:
-
-.. autoclass:: FissionXS
-    :members:
-
-.. autoclass:: NuFissionXS
-    :members:
-
-.. autoclass:: NuScatterXS
-    :members:
-
-.. autoclass:: NuScatterMatrixXS
-    :members:
-
-.. autoclass:: ScatterXS
-    :members:
-
-.. autoclass:: ScatterMatrixXS
-    :members:
-
-.. autoclass:: TotalXS
-    :members:
-
-.. autoclass:: TransportXS
-    :members:
diff --git a/docs/source/pythonapi/mgxs_library.rst b/docs/source/pythonapi/mgxs_library.rst
deleted file mode 100644
index 8ac5457004..0000000000
--- a/docs/source/pythonapi/mgxs_library.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-.. _pythonapi_mgxs_library:
-
-============
-MGXS Library
-============
-
-.. automodule:: openmc.mgxs.library
-    :members:
diff --git a/docs/source/pythonapi/nuclide.rst b/docs/source/pythonapi/nuclide.rst
deleted file mode 100644
index 9e3214e925..0000000000
--- a/docs/source/pythonapi/nuclide.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-.. _pythonapi_nuclide:
-
-=======
-Nuclide
-=======
-
-.. automodule:: openmc.nuclide
-    :members:
diff --git a/docs/source/pythonapi/particle_restart.rst b/docs/source/pythonapi/particle_restart.rst
deleted file mode 100644
index 66ed89988a..0000000000
--- a/docs/source/pythonapi/particle_restart.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-.. _pythonapi_particle_restart:
-
-================
-Particle Restart
-================
-
-.. automodule:: openmc.particle_restart
-    :members:
diff --git a/docs/source/pythonapi/plots.rst b/docs/source/pythonapi/plots.rst
deleted file mode 100644
index 8ad5348be3..0000000000
--- a/docs/source/pythonapi/plots.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-.. _pythonapi_plots:
-
-=====
-Plots
-=====
-
-.. automodule:: openmc.plots
-    :members:
diff --git a/docs/source/pythonapi/settings.rst b/docs/source/pythonapi/settings.rst
deleted file mode 100644
index 3a3915ff50..0000000000
--- a/docs/source/pythonapi/settings.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-.. _pythonapi_settings:
-
-========
-Settings
-========
-
-.. automodule:: openmc.settings
-    :members:
diff --git a/docs/source/pythonapi/statepoint.rst b/docs/source/pythonapi/statepoint.rst
deleted file mode 100644
index 737fc03fca..0000000000
--- a/docs/source/pythonapi/statepoint.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-.. _pythonapi_statepoint:
-
-==========
-Statepoint
-==========
-
-.. automodule:: openmc.statepoint
-    :members:
diff --git a/docs/source/pythonapi/summary.rst b/docs/source/pythonapi/summary.rst
deleted file mode 100644
index 9a791127b4..0000000000
--- a/docs/source/pythonapi/summary.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-.. _pythonapi_summary:
-
-=======
-Summary
-=======
-
-.. automodule:: openmc.summary
-    :members:
diff --git a/docs/source/pythonapi/surface.rst b/docs/source/pythonapi/surface.rst
deleted file mode 100644
index cc31f5b3e3..0000000000
--- a/docs/source/pythonapi/surface.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-.. _pythonapi_surface:
-
-=======
-Surface
-=======
-
-.. automodule:: openmc.surface
-    :members:
diff --git a/docs/source/pythonapi/tallies.rst b/docs/source/pythonapi/tallies.rst
deleted file mode 100644
index 2f24edf3a0..0000000000
--- a/docs/source/pythonapi/tallies.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-.. _pythonapi_tallies:
-
-=======
-Tallies
-=======
-
-.. automodule:: openmc.tallies
-    :members:
diff --git a/docs/source/pythonapi/trigger.rst b/docs/source/pythonapi/trigger.rst
deleted file mode 100644
index 82567c2cf1..0000000000
--- a/docs/source/pythonapi/trigger.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-.. _pythonapi_trigger:
-
-=======
-Trigger
-=======
-
-.. automodule:: openmc.trigger
-    :members:
diff --git a/docs/source/pythonapi/universe.rst b/docs/source/pythonapi/universe.rst
deleted file mode 100644
index fd4a3c1e29..0000000000
--- a/docs/source/pythonapi/universe.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-.. _pythonapi_universe:
-
-========
-Universe
-========
-
-.. automodule:: openmc.universe
-    :members:
diff --git a/docs/source/quickinstall.rst b/docs/source/quickinstall.rst
index 9ce752be7c..7faa4978dd 100644
--- a/docs/source/quickinstall.rst
+++ b/docs/source/quickinstall.rst
@@ -12,24 +12,55 @@ OpenMC, see :ref:`usersguide_install` in the User's Manual.
 Installing on Ubuntu through PPA
 --------------------------------
 
-For users with Ubuntu 11.10 or later, a binary package for OpenMC is available
-through a `Personal Package Archive`_ (PPA) and can be installed through the `APT
-package manager`_. Simply enter the following commands into the terminal:
+For users with Ubuntu 15.04 or later, a binary package for OpenMC is available
+through a `Personal Package Archive`_ (PPA) and can be installed through the
+`APT package manager`_. First, add the following PPA to the repository sources:
 
 .. code-block:: sh
 
     sudo apt-add-repository ppa:paulromano/staging
+
+Next, resynchronize the package index files:
+
+.. code-block:: sh
+
     sudo apt-get update
+
+Now OpenMC should be recognized within the repository and can be installed:
+
+.. code-block:: sh
+
     sudo apt-get install openmc
 
-Currently, the binary package does not allow for parallel simulations or use of
-HDF5_. Users who need such capabilities should build OpenMC from source as is
-described in :ref:`usersguide_install`.
+Binary packages from this PPA may exist for earlier versions of Ubuntu, but they
+are no longer supported.
 
 .. _Personal Package Archive: https://launchpad.net/~paulromano/+archive/staging
 .. _APT package manager: https://help.ubuntu.com/community/AptGet/Howto
 .. _HDF5: http://www.hdfgroup.org/HDF5/
 
+---------------------------------------
+Installing from Source on Ubuntu 15.04+
+---------------------------------------
+
+To build OpenMC from source, several :ref:`prerequisites <prerequisites>` are
+needed. If you are using Ubuntu 15.04 or higher, all prerequisites can be
+installed directly from the package manager.
+
+.. code-block:: sh
+
+    sudo apt-get install gfortran
+    sudo apt-get install cmake
+    sudo apt-get install libhdf5-dev
+
+After the packages have been installed, follow the instructions below for
+building and installing OpenMC from source.
+
+.. note:: Before Ubuntu 15.04, the HDF5 package included in the Ubuntu Package
+          archive was not built with support for the Fortran 2003 HDF5
+          interface, which is needed by OpenMC. If you are using Ubuntu 14.10 or
+          before you will need to build HDF5 from source.
+
 -------------------------------------------
 Installing from Source on Linux or Mac OS X
 -------------------------------------------
@@ -42,7 +73,6 @@ entering the following commands in a terminal:
 
     git clone https://github.com/mit-crpg/openmc.git
     cd openmc
-    git checkout -b master origin/master
     mkdir build && cd build
     cmake ..
     make
diff --git a/docs/source/releasenotes.rst b/docs/source/releasenotes.rst
index 65309fd70a..3b96be7f8f 100644
--- a/docs/source/releasenotes.rst
+++ b/docs/source/releasenotes.rst
@@ -1,78 +1,83 @@
 .. _releasenotes:
 
 ==============================
-Release Notes for OpenMC 0.7.1
+Release Notes for OpenMC 0.8.0
 ==============================
 
-This release of OpenMC provides some substantial improvements over version
-0.7.0. Non-simple cell regions can now be defined through the ``|`` (union) and
-``~`` (complement) operators. Similar changes in the Python API also allow
-complex cell regions to be defined. A true secondary particle bank now exists;
-this is crucial for photon transport (to be added in the next minor release). A
-rich API for multi-group cross section generation has been added via the
-``openmc.mgxs`` Python module.
+This release of OpenMC includes a few new major features including the
+capability to perform neutron transport with multi-group cross section data as
+well as experimental support for the windowed multipole method being developed
+at MIT. Source sampling options have also been expanded significantly, with the
+option to supply arbitrary tabular and discrete distributions for energy, angle,
+and spatial coordinates.
 
-Various improvements to tallies have also been made. It is now possible to
-explicitly specify that a collision estimator be used in a tally. A new
-``delayedgroup`` filter and ``delayed-nu-fission`` score allow a user to obtain
-delayed fission neutron production rates filtered by delayed group. Finally, the
-new ``inverse-velocity`` score may be useful for calculating kinetics
-parameters.
+The Python API has been significantly restructured in this release compared to
+version 0.7.1. Any scripts written based on the version 0.7.1 API will likely
+need to be rewritten. Some of the most visible changes include the following:
 
-.. caution:: In previous versions, depending on how OpenMC was compiled binary
-             output was either given in HDF5 or a flat binary format. With this
-             version, all binary output is now HDF5 which means you **must**
-             have HDF5 in order to install OpenMC. Please consult the user's
-             guide for instructions on how to compile with HDF5.
+- ``SettingsFile`` is now ``Settings``, ``MaterialsFile`` is now ``Materials``,
+  and ``TalliesFile`` is now ``Tallies``.
+- The ``GeometryFile`` class no longer exists and is replaced by the
+  ``Geometry`` class which now has an ``export_to_xml()`` method.
+- Source distributions are defined using the ``Source`` class and assigned to
+  the ``Settings.source`` property.
+- The ``Executor`` class no longer exists and is replaced by ``openmc.run()``
+  and ``openmc.plot_geometry()`` functions.
+
+The Python API documentation has also been significantly expanded.
 
 -------------------
 System Requirements
 -------------------
 
 There are no special requirements for running the OpenMC code. As of this
-release, OpenMC has been tested on a variety of Linux distributions, Mac OS X,
-and Microsoft Windows 7. Memory requirements will vary depending on the size of
-the problem at hand (mostly on the number of nuclides in the problem).
+release, OpenMC has been tested on a variety of Linux distributions and Mac
+OS X. Numerous users have reported working builds on Microsoft Windows, but your
+mileage may vary. Memory requirements will vary depending on the size of the
+problem at hand (mostly on the number of nuclides and tallies in the problem).
 
 ------------
 New Features
 ------------
 
-- Support for complex cell regions (union and complement operators)
-- Generic quadric surface type
-- Improved handling of secondary particles
-- Binary output is now solely HDF5
-- ``openmc.mgxs`` Python module enabling multi-group cross section generation
-- Collision estimator for tallies
-- Delayed fission neutron production tallies with ability to filter by delayed
-  group
-- Inverse velocity tally score
-- Performance improvements for binary search
-- Performance improvements for reaction rate tallies
+- Multi-group mode
+- Vast improvements to the Python API
+- Experimental windowed multipole capability
+- Periodic boundary conditions
+- Expanded source sampling options
+- Distributed materials
+- Subcritical multiplication support
+- Improved method for reproducible URR table sampling
+- Refactor of continuous-energy reaction data
+- Improved documentation and new Jupyter notebooks
 
 ---------
 Bug Fixes
 ---------
 
-- 299322_: Bug with material filter when void material present
-- d74840_: Fix triggers on tallies with multiple filters
-- c29a81_: Correctly handle maximum transport energy
-- 3edc23_: Fixes in the nu-scatter score
-- 629e3b_: Assume unspecified surface coefficients are zero in Python API
-- 5dbe8b_: Fix energy filters for openmc-plot-mesh-tally
-- ff66f4_: Fixes in the openmc-plot-mesh-tally script
-- 441fd4_: Fix bug in kappa-fission score
-- 7e5974_: Allow fixed source simulations from Python API
+- 70daa7_: Make sure MT=3 cross section is not used
+- 40b05f_: Ensure source bank is resampled for fixed source runs
+- 9586ed_: Fix two hexagonal lattice bugs
+- a855e8_: Make sure graphite models don't error out on max events
+- 7294a1_: Fix incorrect check on cmfd.xml
+- 12f246_: Ensure number of realizations is written to statepoint
+- 0227f4_: Fix bug when sampling multiple energy distributions
+- 51deaa_: Prevent segfault when user specifies '18' on tally scores
+- fed74b_: Prevent duplicate tally scores
+- 8467ae_: Better threshold for allowable lost particles
+- 493c6f_: Fix type of return argument for h5pget_driver_f
 
-.. _299322: https://github.com/mit-crpg/openmc/commit/299322
-.. _d74840: https://github.com/mit-crpg/openmc/commit/d74840
-.. _c29a81: https://github.com/mit-crpg/openmc/commit/c29a81
-.. _3edc23: https://github.com/mit-crpg/openmc/commit/3edc23
-.. _629e3b: https://github.com/mit-crpg/openmc/commit/629e3b
-.. _5dbe8b: https://github.com/mit-crpg/openmc/commit/5dbe8b
-.. _ff66f4: https://github.com/mit-crpg/openmc/commit/ff66f4
-.. _441fd4: https://github.com/mit-crpg/openmc/commit/441fd4
-.. _7e5974: https://github.com/mit-crpg/openmc/commit/7e5974
+.. _70daa7: https://github.com/mit-crpg/openmc/commit/70daa7
+.. _40b05f: https://github.com/mit-crpg/openmc/commit/40b05f
+.. _9586ed: https://github.com/mit-crpg/openmc/commit/9586ed
+.. _a855e8: https://github.com/mit-crpg/openmc/commit/a855e8
+.. _7294a1: https://github.com/mit-crpg/openmc/commit/7294a1
+.. _12f246: https://github.com/mit-crpg/openmc/commit/12f246
+.. _0227f4: https://github.com/mit-crpg/openmc/commit/0227f4
+.. _51deaa: https://github.com/mit-crpg/openmc/commit/51deaa
+.. _fed74b: https://github.com/mit-crpg/openmc/commit/fed74b
+.. _8467ae: https://github.com/mit-crpg/openmc/commit/8467ae
+.. _493c6f: https://github.com/mit-crpg/openmc/commit/493c6f
 
 ------------
 Contributors
@@ -81,11 +86,11 @@ Contributors
 This release contains new contributions from the following people:
 
 - `Will Boyd <wbinventor@gmail.com>`_
-- `Sterling Harper <sterlingmharper@mit.edu>`_
-- `Bryan Herman <hermab53@gmail.com>`_
+- `Derek Gaston <friedmud@gmail.com>`_
+- `Sterling Harper <sterlingmharper@gmail.com>`_
 - `Colin Josey <cjosey@mit.edu>`_
+- `Jingang Liang <liangjg2008@gmail.com>`_
 - `Adam Nelson <nelsonag@umich.edu>`_
 - `Paul Romano <paul.k.romano@gmail.com>`_
 - `Kelly Rowland <kellylynnerowland@gmail.com>`_
 - `Sam Shaner <samuelshaner@gmail.com>`_
-- `Jon Walsh <walshjon@mit.edu>`_
diff --git a/docs/source/usersguide/beginners.rst b/docs/source/usersguide/beginners.rst
index d65ee1f831..2487e9c416 100644
--- a/docs/source/usersguide/beginners.rst
+++ b/docs/source/usersguide/beginners.rst
@@ -12,7 +12,7 @@ In a nutshell, OpenMC simulates neutrons moving around randomly in a `nuclear
 reactor`_ (or other fissile system). This is what's known as `Monte Carlo`_
 simulation. Neutrons are important in nuclear reactors because they are the
 particles that induce `fission`_ in uranium and other nuclides. Knowing the
-behavior of neutrons allows you to figure out how often and where fission
+behavior of neutrons allows you to determine how often and where fission
 occurs. The amount of energy released is then directly proportional to the
 fission reaction rate since most heat is produced by fission. By simulating many
 neutrons (millions or billions), it is possible to determine the average
@@ -65,7 +65,7 @@ Now let's look at the pros and cons of Monte Carlo methods:
 
 - **Pro**: Running simulations in parallel is conceptually very simple.
 
-- **Con**: Because they related on repeated random sampling, they are
+- **Con**: Because they rely on repeated random sampling, they are
   computationally very expensive.
 
 - **Con**: A simulation doesn't automatically give you the global solution
diff --git a/docs/source/usersguide/index.rst b/docs/source/usersguide/index.rst
index 5a7e7addfa..f8b4e64faa 100644
--- a/docs/source/usersguide/index.rst
+++ b/docs/source/usersguide/index.rst
@@ -14,6 +14,5 @@ essential aspects of using OpenMC to perform simulations.
     beginners
     install
     input
-    output/index
     processing
     troubleshoot
diff --git a/docs/source/usersguide/input.rst b/docs/source/usersguide/input.rst
index fa43ca1d2c..d6802075e5 100644
--- a/docs/source/usersguide/input.rst
+++ b/docs/source/usersguide/input.rst
@@ -112,9 +112,11 @@ standard deviation.
 
 The ``<cross_sections>`` element has no attributes and simply indicates the path
 to an XML cross section listing file (usually named cross_sections.xml). If this
-element is absent from the settings.xml file, the :envvar:`CROSS_SECTIONS`
-environment variable will be used to find the path to the XML cross section
-listing.
+element is absent from the settings.xml file, the
+:envvar:`OPENMC_CROSS_SECTIONS` environment variable will be used to find the
+path to the XML cross section listing when in continuous-energy mode, and the
+:envvar:`OPENMC_MG_CROSS_SECTIONS` environment variable will be used in
+multi-group mode.
 
 ``<cutoff>`` Element
 --------------------
@@ -212,8 +214,21 @@ cross section values between.
 
   *Default*: logarithm
 
+  .. note:: This element is not used in the multi-group :ref:`energy_mode`.
+
 .. _LA-UR-14-24530: https://laws.lanl.gov/vhosts/mcnp.lanl.gov/pdf_files/la-ur-14-24530.pdf
 
+.. _energy_mode:
+
+``<energy_mode>`` Element
+-------------------------
+
+The ``<energy_mode>`` element tells OpenMC if the run-mode should be
+continuous-energy or multi-group.  Options for entry are: ``continuous-energy``
+or ``multi-group``.
+
+  *Default*: continuous-energy
+
 ``<entropy>`` Element
 ---------------------
 
@@ -264,6 +279,33 @@ based on the recommended value in LA-UR-14-24530_.
 
   *Default*: 8000
 
+  .. note:: This element is not used in the multi-group :ref:`energy_mode`.
+
+``<multipole_library>`` Element
+-------------------------------
+
+The ``<multipole_library>`` element indicates the directory containing a
+windowed multipole library. If a windowed multipole library is available,
+OpenMC can use it for on-the-fly Doppler-broadening of resolved resonance range
+cross sections. If this element is absent from the settings.xml file, the
+:envvar:`OPENMC_MULTIPOLE_LIBRARY` environment variable will be used.
+
+  .. note:: The <use_windowed_multipole> element must also be set to "true"
+    for windowed multipole functionality.
+
+``<max_order>`` Element
+---------------------------
+
+The ``<max_order>`` element allows the user to set a maximum scattering order
+to apply to every nuclide/material in the problem.  That is, if the data
+library has :math:`P_3` data available, but ``<max_order>`` was set to ``1``,
+then, OpenMC will only use up to the :math:`P_1` data.
+
+  *Default*: Use the maximum order in the data library
+
+  .. note:: This element is not used in the continuous-energy
+    :ref:`energy_mode`.
+
 .. _natural_elements:
 
 ``<natural_elements>`` Element
@@ -312,10 +354,10 @@ out the file and "false" will not.
     *Default*: false
 
   :summary:
-    Writes out an ASCII summary file describing all of the user input files that
+    Writes out an HDF5 summary file describing all of the user input files that
     were read in.
 
-    *Default*: false
+    *Default*: true
 
   :tallies:
     Write out an ASCII file of tally results.
@@ -343,6 +385,8 @@ or sub-elements and can be set to either "false" or "true".
 
   *Default*: true
 
+  .. note:: This element is not used in the multi-group :ref:`energy_mode`.
+
 ``<resonance_scattering>`` Element
 ----------------------------------
 
@@ -402,6 +446,8 @@ attributes or sub-elements:
 
     *Defaults*: None (scatterer), ARES (method), 0.01 eV (E_min), 1.0 keV (E_max)
 
+  .. note:: This element is not used in the multi-group :ref:`energy_mode`.
+
 ``<run_cmfd>`` Element
 ----------------------
 
@@ -424,9 +470,17 @@ pseudo-random number generator.
 
 The ``source`` element gives information on an external source distribution to
 be used either as the source for a fixed source calculation or the initial
-source guess for criticality calculations. It takes the following
+source guess for criticality calculations. Multiple ``<source>`` elements may be
+specified to define different source distributions. Each one takes the following
 attributes/sub-elements:
 
+  :strength:
+    The strength of the source. If multiple sources are present, the source
+    strength indicates the relative probability of choosing one source over the
+    other.
+
+    *Default*: 1.0
+
   :file:
     If this attribute is given, it indicates that the source is to be read from
     a binary source file whose path is given by the value of this element. Note,
@@ -440,13 +494,13 @@ attributes/sub-elements:
     has the following attributes:
 
     :type:
-
-      The type of spatial distribution. Valid options are "box", "fission", and
-      "point". A "box" spatial distribution has coordinates sampled uniformly in
-      a parallelepiped. A "fission" spatial distribution samples locations from
-      a "box" distribution but only locations in fissionable materials are
-      accepted. A "point" spatial distribution has coordinates specified by a
-      triplet.
+      The type of spatial distribution. Valid options are "box", "fission",
+      "point", and "cartesian". A "box" spatial distribution has coordinates
+      sampled uniformly in a parallelepiped. A "fission" spatial distribution
+      samples locations from a "box" distribution but only locations in
+      fissionable materials are accepted. A "point" spatial distribution has
+      coordinates specified by a triplet. An "cartesian" spatial distribution
+      specifies independent distributions of x-, y-, and z-coordinates.
 
       *Default*: None
 
@@ -459,67 +513,125 @@ attributes/sub-elements:
 
       For a "point" spatial distribution, ``parameters`` should be given as
       three real numbers which specify the (x,y,z) location of an isotropic
-      point source
+      point source.
+
+      For an "cartesian" distribution, no parameters are specified. Instead,
+      the ``x``, ``y``, and ``z`` elements must be specified.
 
       *Default*: None
 
+    :x:
+      For an "cartesian" distribution, this element specifies the distribution
+      of x-coordinates. The necessary sub-elements/attributes are those of a
+      univariate probability distribution (see the description in
+      :ref:`univariate`).
+
+    :y:
+      For an "cartesian" distribution, this element specifies the distribution
+      of y-coordinates. The necessary sub-elements/attributes are those of a
+      univariate probability distribution (see the description in
+      :ref:`univariate`).
+
+    :z:
+      For an "cartesian" distribution, this element specifies the distribution
+      of z-coordinates. The necessary sub-elements/attributes are those of a
+      univariate probability distribution (see the description in
+      :ref:`univariate`).
+
   :angle:
     An element specifying the angular distribution of source sites. This element
     has the following attributes:
 
     :type:
-      The type of angular distribution. Valid options are "isotropic" and
-      "monodirectional". The angle of the particle emitted from a source site is
-      isotropic if the "isotropic" option is given. The angle of the particle
-      emitted from a source site is the direction specified in the <parameters>
-      attribute if "monodirectional" option is given.
+      The type of angular distribution. Valid options are "isotropic",
+      "monodirectional", and "mu-phi". The angle of the particle emitted from a
+      source site is isotropic if the "isotropic" option is given. The angle of
+      the particle emitted from a source site is the direction specified in the
+      ``reference_uvw`` element/attribute if "monodirectional" option is
+      given. The "mu-phi" option produces directions with the cosine of the
+      polar angle and the azimuthal angle explicitly specified.
 
       *Default*: isotropic
 
-    :parameters:
-      For an "isotropic" angular distribution, ``parameters`` should not be
-      specified.
+    :reference_uvw:
+      The direction from which the polar angle is measured. Represented by the
+      x-, y-, and z-components of a unit vector. For a monodirectional
+      distribution, this defines the direction of all sampled particles.
 
-      For a "monodirectional" angular distribution, ``parameters`` should be
-      given as three real numbers which specify the angular cosines with respect
-      to each axis.
+    :mu:
+      An element specifying the distribution of the cosine of the polar
+      angle. Only relevant when the type is "mu-phi". The necessary
+      sub-elements/attributes are those of a univariate probability distribution
+      (see the description in :ref:`univariate`).
 
-      *Default*: None
+    :phi:
+      An element specifying the distribution of the azimuthal angle. Only
+      relevant when the type is "mu-phi". The necessary sub-elements/attributes
+      are those of a univariate probability distribution (see the description in
+      :ref:`univariate`).
 
   :energy:
-    An element specifying the energy distribution of source sites. This element
-    has the following attributes:
-
-    :type:
-
-      The type of energy distribution. Valid options are "monoenergetic",
-      "watt", and "maxwell". The "monoenergetic" option produces source sites at
-      a single energy. The "watt" option produces source sites whose energy is
-      sampled from a Watt fission spectrum. The "maxwell" option produce source
-      sites whose energy is sampled from a Maxwell fission spectrum.
-
-      *Default*: watt
-
-    :parameters:
-      For a "monoenergetic" energy distribution, ``parameters`` should be
-      given as the energy in MeV of the source sites.
-
-      For a "watt" energy distribution, ``parameters`` should be given as two
-      real numbers :math:`a` and :math:`b` that parameterize the distribution
-      :math:`p(E) dE = c e^{-E/a} \sinh \sqrt{b \, E} dE`.
-
-      For a "maxwell" energy distribution, ``parameters`` should be given as one
-      real number :math:`a` that parameterizes the distribution :math:`p(E) dE =
-      c E e^{-E/a} dE`.
-
-      *Default*: 0.988 2.249
+    An element specifying the energy distribution of source sites. The necessary
+    sub-elements/attributes are those of a univariate probability distribution
+    (see the description in :ref:`univariate`).
 
   :write_initial:
     An element specifying whether to write out the initial source bank used at
     the beginning of the first batch. The output file is named
-    "initial_source.binary(h5)"
+    "initial_source.h5"
 
-      *Default*: false
+    *Default*: false
+
+.. _univariate:
+
+Univariate Probability Distributions
+++++++++++++++++++++++++++++++++++++
+
+Various components of a source distribution involve probability distributions of
+a single random variable, e.g. the distribution of the energy, the distribution
+of the polar angle, and the distribution of x-coordinates. Each of these
+components supports the same syntax with an element whose tag signifies the
+variable and whose sub-elements/attributes are as follows:
+
+:type:
+  The type of the distribution. Valid options are "uniform", "discrete",
+  "tabular", "maxwell", and "watt". The "uniform" option produces variates
+  sampled from a uniform distribution over a finite interval. The "discrete"
+  option produces random variates that can assume a finite number of values
+  (i.e., a distribution characterized by a probability mass function). The
+  "tabular" option produces random variates sampled from a tabulated
+  distribution where the density function is either a histogram or
+  linearly-interpolated between tabulated points. The "watt" option produces
+  random variates is sampled from a Watt fission spectrum (only used for
+  energies). The "maxwell" option produce variates sampled from a Maxwell
+  fission spectrum (only used for energies).
+
+  *Default*: None
+
+:parameters:
+  For a "uniform" distribution, ``parameters`` should be given as two real
+  numbers :math:`a` and :math:`b` that define the interval :math:`[a,b]` over
+  which random variates are sampled.
+
+  For a "discrete" or "tabular" distribution, ``parameters`` provides the
+  :math:`(x,p)` pairs defining the discrete/tabular distribution. All :math:`x`
+  points are given first followed by corresponding :math:`p` points.
+
+  For a "watt" distribution, ``parameters`` should be given as two real numbers
+  :math:`a` and :math:`b` that parameterize the distribution :math:`p(x) dx = c
+  e^{-x/a} \sinh \sqrt{b \, x} dx`.
+
+  For a "maxwell" distribution, ``parameters`` should be given as one real
+  number :math:`a` that parameterizes the distribution :math:`p(x) dx = c x
+  e^{-x/a} dx`.
+
+  .. note:: The above format should be used even when using the multi-group
+            :ref:`energy_mode`.
+:interpolation:
+  For a "tabular" distribution, ``interpolation`` can be set to "histogram" or
+  "linear-linear" thereby specifying how tabular points are to be interpolated.
+
+  *Default*: histogram
 
 ``<state_point>`` Element
 -------------------------
@@ -576,7 +688,7 @@ attributes/sub-elements:
 
     *Default*: false
 
-  :source_write:
+  :write:
     If this element is set to "false", source sites are not written
     to the state point or source point file. This can substantially reduce the
     size of state points if large numbers of particles per batch are used.
@@ -701,6 +813,17 @@ problem. It has the following attributes/sub-elements:
 
     *Default*: None
 
+
+``<use_windowed_multipole>`` Element
+------------------------------------
+
+The ``<use_windowed_multipole>`` element toggles the windowed multipole
+capability on or off. If this element is set to "True" and the relevant data is
+available, OpenMC will use the windowed multipole method to evaluate and Doppler
+broaden cross sections in the resolved resonance range.
+
+  *Default*: False
+
 ``<verbosity>`` Element
 -----------------------
 
@@ -798,11 +921,19 @@ Each ``<surface>`` element can have the following attributes or sub-elements:
     *Default*: None
 
   :boundary:
-    The boundary condition for the surface. This can be "transmission",
-    "vacuum", or "reflective".
+     The boundary condition for the surface. This can be "transmission",
+     "vacuum", "reflective", or "periodic". Periodic boundary conditions can
+     only be applied to x-, y-, and z-planes. Only axis-aligned periodicity is
+     supported, i.e., x-planes can only be paired with x-planes. Specify which
+     planes are periodic and the code will automatically identify which planes
+     are paired together.
 
     *Default*: "transmission"
 
+  :periodic_surface_id:
+     If a periodic boundary condition is applied, this attribute identifies the
+     ``id`` of the corresponding periodic sufrace.
+
 The following quadratic surfaces can be modeled:
 
   :x-plane:
@@ -891,7 +1022,9 @@ Each ``<cell>`` element can have the following attributes or sub-elements:
 
   :material:
     The ``id`` of the material that this cell contains. If the cell should
-    contain no material, this can also be set to "void".
+    contain no material, this can also be set to "void". A list of materials
+    can be specified for the "distributed material" feature. This will give each
+    unique instance of the cell its own material.
 
     .. note:: If a material is specified, no fill should be given.
 
@@ -921,6 +1054,15 @@ Each ``<cell>`` element can have the following attributes or sub-elements:
 
     *Default*: A region filling all space.
 
+  :temperature:
+    The temperature of the cell in Kelvin. If windowed-multipole data is
+    avalable, this temperature will be used to Doppler broaden some cross
+    sections in the resolved resonance region. A list of temperatures can be
+    specified for the "distributed temperature" feature. This will give each
+    unique instance of the cell its own temperature.
+
+    *Default*: The temperature of the coldest nuclide in the cell's material(s)
+
   :rotation:
     If the cell is filled with a universe, this element specifies the angles in
     degrees about the x, y, and z axes that the filled universe should be
@@ -932,6 +1074,20 @@ Each ``<cell>`` element can have the following attributes or sub-elements:
 
         <cell fill="..." rotation="0 0 90" />
 
+    The rotation applied is an intrinsic rotation whose Tait-Bryan angles are
+    given as those specified about the x, y, and z axes respectively. That is to
+    say, if the angles are :math:`(\phi, \theta, \psi)`, then the rotation
+    matrix applied is :math:`R_z(\psi) R_y(\theta) R_x(\phi)` or
+
+    .. math::
+
+       \left [ \begin{array}{ccc} \cos\theta \cos\psi & -\cos\theta \sin\psi +
+       \sin\phi \sin\theta \cos\psi & \sin\phi \sin\psi + \cos\phi \sin\theta
+       \cos\psi \\ \cos\theta \sin\psi & \cos\phi \cos\psi + \sin\phi \sin\theta
+       \sin\psi & -\sin\phi \cos\psi + \cos\phi \sin\theta \sin\psi \\
+       -\sin\theta & \sin\phi \cos\theta & \cos\phi \cos\theta \end{array}
+       \right ]
+
     *Default*: None
 
   :translation:
@@ -1114,14 +1270,21 @@ Each ``material`` element can have the following attributes or sub-elements:
     An element with attributes/sub-elements called ``value`` and ``units``. The
     ``value`` attribute is the numeric value of the density while the ``units``
     can be "g/cm3", "kg/m3", "atom/b-cm", "atom/cm3", or "sum". The "sum" unit
-    indicates that values appearing in ``ao`` attributes for ``<nuclide>`` and
-    ``<element>`` sub-elements are to be interpreted as nuclide/element
-    densities in atom/b-cm, and the total density of the material is taken as
-    the sum of all nuclides/elements. The "sum" option cannot be used in
-    conjunction with weight percents.
+    indicates that values appearing in ``ao`` or ``wo`` attributes for ``<nuclide>``
+    and ``<element>`` sub-elements are to be interpreted as absolute nuclide/element
+    densities in atom/b-cm or g/cm3, and the total density of the material is
+    taken as the sum of all nuclides/elements. The "macro" unit is used with
+    a ``macroscopic`` quantity to indicate that the density is already included
+    in the library and thus not needed here.  However, if a value is provided
+    for the ``value``, then this is treated as a number density multiplier on
+    the macroscopic cross sections in the multi-group data.  This can be used,
+    for example, when perturbing the density slightly.
 
     *Default*: None
 
+    .. note:: A ``macroscopic`` quantity can not be used in conjunction with a
+              ``nuclide``, ``element``, or ``sab`` quantity.
+
   :nuclide:
     An element with attributes/sub-elements called ``name``, ``xs``, and ``ao``
     or ``wo``. The ``name`` attribute is the name of the cross-section for a
@@ -1149,6 +1312,9 @@ Each ``material`` element can have the following attributes or sub-elements:
 
     *Default*: None
 
+    .. note:: The ``scattering`` attribute/sub-element is not used in the
+              multi-group :ref:`energy_mode`.
+
   :element:
 
     Specifies that a natural element is present in the material. The natural
@@ -1184,6 +1350,9 @@ Each ``material`` element can have the following attributes or sub-elements:
 
     *Default*: None
 
+    .. note:: The ``scattering`` attribute/sub-element is not used in the
+              multi-group :ref:`energy_mode`.
+
   :sab:
     Associates an S(a,b) table with the material. This element has
     attributes/sub-elements called ``name`` and ``xs``. The ``name`` attribute
@@ -1192,6 +1361,26 @@ Each ``material`` element can have the following attributes or sub-elements:
 
     *Default*: None
 
+    .. note:: This element is not used in the multi-group :ref:`energy_mode`.
+
+  :macroscopic:
+    The ``macroscopic`` element is similar to the ``nuclide`` element, but,
+    recognizes that some multi-group libraries may be providing material
+    specific macroscopic cross sections instead of always providing nuclide
+    specific data like in the continuous-energy case.  To that end, the
+    macroscopic element has attributes/sub-elements called ``name``, and ``xs``.
+    The ``name`` attribute is the name of the cross-section for a
+    desired nuclide while the ``xs`` attribute is the cross-section
+    identifier. One example would be as follows:
+
+    .. code-block:: xml
+
+        <macroscopic name="UO2" xs="71c" />
+
+    .. note:: This element is only used in the multi-group :ref:`energy_mode`.
+
+    *Default*: None
+
 .. _IUPAC Isotopic Compositions of the Elements 2009:
     http://pac.iupac.org/publications/pac/pdf/2011/pdf/8302x0397.pdf
 
@@ -1278,7 +1467,8 @@ The ``<tally>`` element accepts the following sub-elements:
           A list of universes for which the tally should be accumulated.
 
         :energy:
-          A monotonically increasing list of bounding **pre-collision** energies
+          In continuous-energy mode, this filter should be provided as a
+          monotonically increasing list of bounding **pre-collision** energies
           for a number of groups. For example, if this filter is specified as
 
           .. code-block:: xml
@@ -1288,17 +1478,24 @@ The ``<tally>`` element accepts the following sub-elements:
           then two energy bins will be created, one with energies between 0 and
           1 MeV and the other with energies between 1 and 20 MeV.
 
+          In multi-group mode the bins provided must match group edges
+          defined in the multi-group library.
+
         :energyout:
-          A monotonically increasing list of bounding **post-collision**
-          energies for a number of groups. For example, if this filter is
-          specified as
+          In continuous-energy mode, this filter should be provided as a
+          monotonically increasing list of bounding **post-collision** energies
+          for a number of groups. For example, if this filter is specified as
 
           .. code-block:: xml
 
               <filter type="energyout" bins="0.0 1.0 20.0" />
 
-          then two post-collision energy bins will be created, one with energies
-          between 0 and 1 MeV and the other with energies between 1 and 20 MeV.
+          then two post-collision energy bins will be created, one with
+          energies between 0 and 1 MeV and the other with energies between
+          1 and 20 MeV.
+
+          In multi-group mode the bins provided must match group edges
+          defined in the multi-group library.
 
         :mu:
           A monotonically increasing list of bounding **post-collision** cosines
@@ -1382,6 +1579,8 @@ The ``<tally>`` element accepts the following sub-elements:
 
               <filter type="delayedgroup" bins="1 2 3 4 5 6" />
 
+          .. note:: This filter type is not used in the multi-group :ref:`energy_mode`.
+
   :nuclides:
     If specified, the scores listed will be for particular nuclides, not the
     summation of reactions from all nuclides. The format for nuclides should be
@@ -1409,114 +1608,207 @@ The ``<tally>`` element accepts the following sub-elements:
     *Default*: ``tracklength`` but will revert to ``analog`` if necessary.
 
   :scores:
-    A space-separated list of the desired responses to be accumulated. Accepted
-    options are "flux", "total", "scatter", "absorption", "fission",
-    "nu-fission", "delayed-nu-fission", "kappa-fission", "nu-scatter",
-    "scatter-N", "scatter-PN", "scatter-YN", "nu-scatter-N", "nu-scatter-PN",
-    "nu-scatter-YN", "flux-YN", "total-YN", "current", "inverse-velocity" and
-    "events". These correspond to the following physical quantities:
+    A space-separated list of the desired responses to be accumulated. The accepted
+    options are listed in the following tables:
 
-    :flux:
-      Total flux in particle-cm per source particle.
+    .. table:: **Flux scores: units are particle-cm per source particle.**
 
-      .. note::
-         The ``analog`` estimator is actually identical to the ``collision``
-         estimator for the flux score.
+        +----------------------+---------------------------------------------------+
+        |Score                 | Description                                       |
+        +======================+===================================================+
+        |flux                  |Total flux.                                        |
+        +----------------------+---------------------------------------------------+
+        |flux-YN               |Spherical harmonic expansion of the direction of   |
+        |                      |motion :math:`\left(\Omega\right)` of the total    |
+        |                      |flux. This score will tally all of the harmonic    |
+        |                      |moments of order 0 to N.  N must be between 0 and  |
+        |                      |10.                                                |
+        +----------------------+---------------------------------------------------+
 
-    :total:
-      Total reaction rate in reactions per source particle.
+    .. table:: **Reaction scores: units are reactions per source particle.**
 
-    :scatter:
-      Total scattering rate. Can also be identified with the ``scatter-0``
-      response type. Units are reactions per source particle.
+        +----------------------+---------------------------------------------------+
+        |Score                 | Description                                       |
+        +======================+===================================================+
+        |absorption            |Total absorption rate. This accounts for all       |
+        |                      |reactions which do not produce secondary neutrons  |
+        |                      |as well as fission.                                |
+        +----------------------+---------------------------------------------------+
+        |elastic               |Elastic scattering reaction rate.                  |
+        +----------------------+---------------------------------------------------+
+        |fission               |Total fission reaction rate.                       |
+        +----------------------+---------------------------------------------------+
+        |scatter               |Total scattering rate. Can also be identified with |
+        |                      |the "scatter-0" response type.                     |
+        +----------------------+---------------------------------------------------+
+        |scatter-N             |Tally the N\ :sup:`th` \ scattering moment, where N|
+        |                      |is the Legendre expansion order of the change in   |
+        |                      |particle angle :math:`\left(\mu\right)`. N must be |
+        |                      |between 0 and 10. As an example, tallying the 2\   |
+        |                      |:sup:`nd` \ scattering moment would be specified as|
+        |                      |``<scores>scatter-2</scores>``.                    |
+        +----------------------+---------------------------------------------------+
+        |scatter-PN            |Tally all of the scattering moments from order 0 to|
+        |                      |N, where N is the Legendre expansion order of the  |
+        |                      |change in particle angle                           |
+        |                      |:math:`\left(\mu\right)`. That is, "scatter-P1" is |
+        |                      |equivalent to requesting tallies of "scatter-0" and|
+        |                      |"scatter-1".  Like for "scatter-N", N must be      |
+        |                      |between 0 and 10. As an example, tallying up to the|
+        |                      |2\ :sup:`nd` \ scattering moment would be specified|
+        |                      |as ``<scores> scatter-P2 </scores>``.              |
+        +----------------------+---------------------------------------------------+
+        |scatter-YN            |"scatter-YN" is similar to "scatter-PN" except an  |
+        |                      |additional expansion is performed for the incoming |
+        |                      |particle direction :math:`\left(\Omega\right)`     |
+        |                      |using the real spherical harmonics.  This is useful|
+        |                      |for performing angular flux moment weighting of the|
+        |                      |scattering moments. Like "scatter-PN", "scatter-YN"|
+        |                      |will tally all of the moments from order 0 to N; N |
+        |                      |again must be between 0 and 10.                    |
+        +----------------------+---------------------------------------------------+
+        |total                 |Total reaction rate.                               |
+        +----------------------+---------------------------------------------------+
+        |total-YN              |The total reaction rate expanded via spherical     |
+        |                      |harmonics about the direction of motion of the     |
+        |                      |neutron, :math:`\Omega`. This score will tally all |
+        |                      |of the harmonic moments of order 0 to N.  N must be|
+        |                      |between 0 and 10.                                  |
+        +----------------------+---------------------------------------------------+
+        |(n,2nd)               |(n,2nd) reaction rate.                             |
+        +----------------------+---------------------------------------------------+
+        |(n,2n)                |(n,2n) reaction rate.                              |
+        +----------------------+---------------------------------------------------+
+        |(n,3n)                |(n,3n) reaction rate.                              |
+        +----------------------+---------------------------------------------------+
+        |(n,na)                |(n,n\ :math:`\alpha`\ ) reaction rate.             |
+        +----------------------+---------------------------------------------------+
+        |(n,n3a)               |(n,n3\ :math:`\alpha`\ ) reaction rate.            |
+        +----------------------+---------------------------------------------------+
+        |(n,2na)               |(n,2n\ :math:`\alpha`\ ) reaction rate.            |
+        +----------------------+---------------------------------------------------+
+        |(n,3na)               |(n,3n\ :math:`\alpha`\ ) reaction rate.            |
+        +----------------------+---------------------------------------------------+
+        |(n,np)                |(n,np) reaction rate.                              |
+        +----------------------+---------------------------------------------------+
+        |(n,n2a)               |(n,n2\ :math:`\alpha`\ ) reaction rate.            |
+        +----------------------+---------------------------------------------------+
+        |(n,2n2a)              |(n,2n2\ :math:`\alpha`\ ) reaction rate.           |
+        +----------------------+---------------------------------------------------+
+        |(n,nd)                |(n,nd) reaction rate.                              |
+        +----------------------+---------------------------------------------------+
+        |(n,nt)                |(n,nt) reaction rate.                              |
+        +----------------------+---------------------------------------------------+
+        |(n,nHe-3)             |(n,n\ :sup:`3`\ He) reaction rate.                 |
+        +----------------------+---------------------------------------------------+
+        |(n,nd2a)              |(n,nd2\ :math:`\alpha`\ ) reaction rate.           |
+        +----------------------+---------------------------------------------------+
+        |(n,nt2a)              |(n,nt2\ :math:`\alpha`\ ) reaction rate.           |
+        +----------------------+---------------------------------------------------+
+        |(n,4n)                |(n,4n) reaction rate.                              |
+        +----------------------+---------------------------------------------------+
+        |(n,2np)               |(n,2np) reaction rate.                             |
+        +----------------------+---------------------------------------------------+
+        |(n,3np)               |(n,3np) reaction rate.                             |
+        +----------------------+---------------------------------------------------+
+        |(n,n2p)               |(n,n2p) reaction rate.                             |
+        +----------------------+---------------------------------------------------+
+        |(n,n*X*)              |Level inelastic scattering reaction rate. The *X*  |
+        |                      |indicates what which inelastic level, e.g., (n,n3) |
+        |                      |is third-level inelastic scattering.               |
+        +----------------------+---------------------------------------------------+
+        |(n,nc)                |Continuum level inelastic scattering reaction rate.|
+        +----------------------+---------------------------------------------------+
+        |(n,gamma)             |Radiative capture reaction rate.                   |
+        +----------------------+---------------------------------------------------+
+        |(n,p)                 |(n,p) reaction rate.                               |
+        +----------------------+---------------------------------------------------+
+        |(n,d)                 |(n,d) reaction rate.                               |
+        +----------------------+---------------------------------------------------+
+        |(n,t)                 |(n,t) reaction rate.                               |
+        +----------------------+---------------------------------------------------+
+        |(n,3He)               |(n,\ :sup:`3`\ He) reaction rate.                  |
+        +----------------------+---------------------------------------------------+
+        |(n,a)                 |(n,\ :math:`\alpha`\ ) reaction rate.              |
+        +----------------------+---------------------------------------------------+
+        |(n,2a)                |(n,2\ :math:`\alpha`\ ) reaction rate.             |
+        +----------------------+---------------------------------------------------+
+        |(n,3a)                |(n,3\ :math:`\alpha`\ ) reaction rate.             |
+        +----------------------+---------------------------------------------------+
+        |(n,2p)                |(n,2p) reaction rate.                              |
+        +----------------------+---------------------------------------------------+
+        |(n,pa)                |(n,p\ :math:`\alpha`\ ) reaction rate.             |
+        +----------------------+---------------------------------------------------+
+        |(n,t2a)               |(n,t2\ :math:`\alpha`\ ) reaction rate.            |
+        +----------------------+---------------------------------------------------+
+        |(n,d2a)               |(n,d2\ :math:`\alpha`\ ) reaction rate.            |
+        +----------------------+---------------------------------------------------+
+        |(n,pd)                |(n,pd) reaction rate.                              |
+        +----------------------+---------------------------------------------------+
+        |(n,pt)                |(n,pt) reaction rate.                              |
+        +----------------------+---------------------------------------------------+
+        |(n,da)                |(n,d\ :math:`\alpha`\ ) reaction rate.             |
+        +----------------------+---------------------------------------------------+
+        |*Arbitrary integer*   |An arbitrary integer is interpreted to mean the    |
+        |                      |reaction rate for a reaction with a given ENDF MT  |
+        |                      |number.                                            |
+        +----------------------+---------------------------------------------------+
 
-    :absorption:
-      Total absorption rate. This accounts for all reactions which do not
-      produce secondary neutrons. Units are reactions per source particle.
+    .. table:: **Particle production scores: units are particles produced per
+               source particles.**
 
-    :fission:
-      Total fission rate in reactions per source particle.
+        +----------------------+---------------------------------------------------+
+        |Score                 | Description                                       |
+        +======================+===================================================+
+        |delayed-nu-fission    |Total production of delayed neutrons due to        |
+        |                      |fission. This score type is not used in the        |
+        |                      |multi-group :ref:`energy_mode`.                    |
+        +----------------------+---------------------------------------------------+
+        |nu-fission            |Total production of neutrons due to fission.       |
+        +----------------------+---------------------------------------------------+
+        |nu-scatter,           |These scores are similar in functionality to their |
+        |nu-scatter-N,         |``scatter*`` equivalents except the total          |
+        |nu-scatter-PN,        |production of neutrons due to scattering is scored |
+        |nu-scatter-YN         |vice simply the scattering rate. This accounts for |
+        |                      |multiplicity from (n,2n), (n,3n), and (n,4n)       |
+        |                      |reactions.                                         |
+        +----------------------+---------------------------------------------------+
 
-    :nu-fission:
-      Total production of neutrons due to fission. Units are neutrons produced
-      per source neutron.
+    .. table:: **Miscellaneous scores: units are indicated for each.**
 
-    :delayed-nu-fission:
-      Total production of delayed neutrons due to fission. Units are neutrons produced
-      per source neutron.
+        +----------------------+---------------------------------------------------+
+        |Score                 | Description                                       |
+        +======================+===================================================+
+        |current               |Partial currents on the boundaries of each cell in |
+        |                      |a mesh. Units are particles per source             |
+        |                      |particle. Note that this score can only be used if |
+        |                      |a mesh filter has been specified. Furthermore, it  |
+        |                      |may not be used in conjunction with any other      |
+        |                      |score.                                             |
+        +----------------------+---------------------------------------------------+
+        |events                |Number of scoring events. Units are events per     |
+        |                      |source particle.                                   |
+        +----------------------+---------------------------------------------------+
+        |inverse-velocity      |The flux-weighted inverse velocity where the       |
+        |                      |velocity is in units of centimeters per second.    |
+        |                      |This score type is not used in the                 |
+        |                      |multi-group :ref:`energy_mode`.                    |
+        +----------------------+---------------------------------------------------+
+        |kappa-fission         |The recoverable energy production rate due to      |
+        |                      |fission. The recoverable energy is defined as the  |
+        |                      |fission product kinetic energy, prompt and delayed |
+        |                      |neutron kinetic energies, prompt and delayed       |
+        |                      |:math:`\gamma`-ray total energies, and the total   |
+        |                      |energy released by the delayed :math:`\beta`       |
+        |                      |particles. The neutrino energy does not contribute |
+        |                      |to this response. The prompt and delayed           |
+        |                      |:math:`\gamma`-rays are assumed to deposit their   |
+        |                      |energy locally. Units are MeV per source particle. |
+        +----------------------+---------------------------------------------------+
 
-    :kappa-fission:
-      The recoverable energy production rate due to fission. The recoverable
-      energy is defined as the fission product kinetic energy, prompt and
-      delayed neutron kinetic energies, prompt and delayed :math:`\gamma`-ray
-      total energies, and the total energy released by the delayed :math:`\beta`
-      particles. The neutrino energy does not contribute to this response. The
-      prompt and delayed :math:`\gamma`-rays are assumed to deposit their energy
-      locally. Units are MeV per source particle.
-
-    :scatter-N:
-      Tally the N\ :sup:`th` \ scattering moment, where N is the Legendre
-      expansion order of the change in particle angle :math:`\left(\mu\right)`.
-      N must be between 0 and 10. As an example, tallying the 2\ :sup:`nd` \
-      scattering moment would be specified as ``<scores> scatter-2
-      </scores>``. Units are reactions per source particle.
-
-    :scatter-PN:
-      Tally all of the scattering moments from order 0 to N, where N is the
-      Legendre expansion order of the change in particle angle
-      :math:`\left(\mu\right)`. That is, ``scatter-P1`` is equivalent to
-      requesting tallies of ``scatter-0`` and ``scatter-1``.  Like for
-      ``scatter-N``, N must be between 0 and 10. As an example, tallying up to
-      the 2\ :sup:`nd` \ scattering moment would be specified as ``<scores>
-      scatter-P2 </scores>``. Units are reactions per source particle.
-
-    :scatter-YN:
-      ``scatter-YN`` is similar to ``scatter-PN`` except an additional expansion
-      is performed for the incoming particle direction
-      :math:`\left(\Omega\right)` using the real spherical harmonics.  This is
-      useful for performing angular flux moment weighting of the scattering
-      moments. Like ``scatter-PN``, ``scatter-YN`` will tally all of the moments
-      from order 0 to N; N again must be between 0 and 10. Units are reactions
-      per source particle.
-
-    :nu-scatter, nu-scatter-N, nu-scatter-PN, nu-scatter-YN:
-      These scores are similar in functionality to their ``scatter*``
-      equivalents except the total production of neutrons due to scattering is
-      scored vice simply the scattering rate. This accounts for multiplicity
-      from (n,2n), (n,3n), and (n,4n) reactions. Units are neutrons produced per
-      source particle.
-
-    :flux-YN:
-      Spherical harmonic expansion of the direction of motion
-      :math:`\left(\Omega\right)` of the total flux.  This score will tally all
-      of the harmonic moments of order 0 to N.  N must be between 0
-      and 10. Units are particle-cm per source particle.
-
-    :total-YN:
-      The total reaction rate expanded via spherical harmonics about the
-      direction of motion of the neutron, :math:`\Omega`.
-      This score will tally all of the harmonic moments of order 0 to N.  N must
-      be between 0 and 10. Units are reactions per source particle.
-
-    :current:
-      Partial currents on the boundaries of each cell in a mesh. Units are
-      particles per source particle.
-
-      .. note::
-          This score can only be used if a mesh filter has been
-          specified. Furthermore, it may not be used in conjunction with any
-          other score.
-
-    :inverse-velocity:
-      The flux-weighted inverse velocity where the velocity is in units of
-      centimeters per second.
-
-      .. note::
-         The ``analog`` estimator is actually identical to the ``collision``
-         estimator for the inverse-velocity score.
-
-    :events:
-      Number of scoring events. Units are events per source particle.
+    .. note::
+       The ``analog`` estimator is actually identical to the ``collision``
+       estimator for the flux and inverse-velocity scores.
 
   :trigger:
     Precision trigger applied to all filter bins and nuclides for this tally.
@@ -1671,7 +1963,7 @@ sub-elements:
     datafiles can be processed into 3D SILO files using the
     ``openmc-voxel-to-silovtk`` utility provided with the OpenMC source, and
     subsequently viewed with a 3D viewer such as VISIT or Paraview. See the
-    :ref:`usersguide_voxel` for information about the datafile structure.
+    :ref:`io_voxel` for information about the datafile structure.
 
     .. note:: Since the PPM format is saved without any kind of compression,
               the resulting file sizes can be quite large.  Saving the image in
diff --git a/docs/source/usersguide/install.rst b/docs/source/usersguide/install.rst
index e3f0df5e91..1a0569148b 100644
--- a/docs/source/usersguide/install.rst
+++ b/docs/source/usersguide/install.rst
@@ -9,8 +9,8 @@ Installing on Ubuntu with PPA
 -----------------------------
 
 For users with Ubuntu 15.04 or later, a binary package for OpenMC is available
-through a Personal Package Archive (PPA) and can be installed through the APT
-package manager. First, add the following PPA to the repository sources:
+through a `Personal Package Archive`_ (PPA) and can be installed through the
+`APT package manager`_. First, add the following PPA to the repository sources:
 
 .. code-block:: sh
 
@@ -31,10 +31,15 @@ Now OpenMC should be recognized within the repository and can be installed:
 Binary packages from this PPA may exist for earlier versions of Ubuntu, but they
 are no longer supported.
 
+.. _Personal Package Archive: https://launchpad.net/~paulromano/+archive/staging
+.. _APT package manager: https://help.ubuntu.com/community/AptGet/Howto
+
 --------------------
 Building from Source
 --------------------
 
+.. _prerequisites:
+
 Prerequisites
 -------------
 
@@ -222,6 +227,7 @@ your PATH environment variable and subsequently uses it to determine library
 locations and compile flags. If you have multiple installations of HDF5 or one
 that does not appear on your PATH, you can set the HDF5_ROOT environment
 variable to the root directory of the HDF5 installation, e.g.
+
 .. code-block:: sh
 
     export HDF5_ROOT=/opt/hdf5/1.8.15
@@ -350,7 +356,7 @@ Testing Build
 -------------
 
 If you have ENDF/B-VII.1 cross sections from NNDC_ you can test your build.
-Make sure the **CROSS_SECTIONS** environmental variable is set to the
+Make sure the **OPENMC_CROSS_SECTIONS** environmental variable is set to the
 *cross_sections.xml* file in the *data/nndc* directory.
 There are two ways to run tests. The first is to use the Makefile present in
 the source directory and run the following:
@@ -375,11 +381,17 @@ Cross Section Configuration
 ---------------------------
 
 In order to run a simulation with OpenMC, you will need cross section data for
-each nuclide in your problem. Since OpenMC uses ACE format cross sections, you
-can use nuclear data that was processed with NJOY_, such as that distributed
-with MCNP_ or Serpent_. Several sources provide free processed ACE data as
-described below. The TALYS-based evaluated nuclear data library, TENDL_, is also
-openly available in ACE format.
+each nuclide or material in your problem. OpenMC can be run in
+continuous-energy or multi-group mode.
+
+In continuous-energy mode OpenMC uses ACE format cross sections; in this case
+you can use nuclear data that was processed with NJOY_, such as that
+distributed with MCNP_ or Serpent_.  Several sources provide free processed
+ACE data as described below. The TALYS-based evaluated nuclear data library,
+TENDL_, is also openly available in ACE format.
+
+In multi-group mode, OpenMC utilizes an XML-based library format which can be
+used to describe nuclide- or material-specific quantities.
 
 Using ENDF/B-VII.1 Cross Sections from NNDC
 -------------------------------------------
@@ -394,9 +406,10 @@ extract, and set up a confiuration file:
     cd openmc/data
     python get_nndc_data.py
 
-At this point, you should set the :envvar:`CROSS_SECTIONS` environment variable
-to the absolute path of the file ``openmc/data/nndc/cross_sections.xml``. This
-cross section set is used by the test suite.
+At this point, you should set the :envvar:`OPENMC_CROSS_SECTIONS` environment
+variable to the absolute path of the file
+``openmc/data/nndc/cross_sections.xml``. This cross section set is used by the
+test suite.
 
 Using JEFF Cross Sections from OECD/NEA
 ---------------------------------------
@@ -422,8 +435,8 @@ the following steps must be taken:
 4. Additionally, you may need to change any occurrences of upper-case "ACE"
    within the ``cross_sections.xml`` file to lower-case.
 5. Either set the :ref:`cross_sections` in a settings.xml file or the
-   :envvar:`CROSS_SECTIONS` environment variable to the absolute path of the
-   ``cross_sections.xml`` file.
+   :envvar:`OPENMC_CROSS_SECTIONS` environment variable to the absolute path of
+   the ``cross_sections.xml`` file.
 
 Using Cross Sections from MCNP
 ------------------------------
@@ -431,8 +444,9 @@ Using Cross Sections from MCNP
 To use cross sections distributed with MCNP, change the <directory> element in
 the ``cross_sections.xml`` file in the root directory of the OpenMC distribution
 to the location of the MCNP cross sections. Then, either set the
-:ref:`cross_sections` in a settings.xml file or the :envvar:`CROSS_SECTIONS`
-environment variable to the absolute path of the ``cross_sections.xml`` file.
+:ref:`cross_sections` in a settings.xml file or the
+:envvar:`OPENMC_CROSS_SECTIONS` environment variable to the absolute path of
+the ``cross_sections.xml`` file.
 
 Using Cross Sections from Serpent
 ---------------------------------
@@ -440,10 +454,21 @@ Using Cross Sections from Serpent
 To use cross sections distributed with Serpent, change the <directory> element
 in the ``cross_sections_serpent.xml`` file in the root directory of the OpenMC
 distribution to the location of the Serpent cross sections. Then, either set the
-:ref:`cross_sections` in a settings.xml file or the :envvar:`CROSS_SECTIONS`
-environment variable to the absolute path of the ``cross_sections_serpent.xml``
+:ref:`cross_sections` in a settings.xml file or the
+:envvar:`OPENMC_CROSS_SECTIONS` environment variable to the absolute path of
+the ``cross_sections_serpent.xml``
 file.
 
+Using Multi-Group Cross Sections
+--------------------------------
+
+Multi-group cross section libraries are generally tailored to the specific
+calculation to be performed.  Therefore, at this point in time, OpenMC is not
+distributed with any pre-existing multi-group cross section libraries.
+However, if the user has obtained or generated their own library, the user
+should set the :envvar:`OPENMC_MG_CROSS_SECTIONS` environment variable
+to the absolute path of the file library expected to used most frequently.
+
 .. _NJOY: http://t2.lanl.gov/nis/codes.shtml
 .. _NNDC: http://www.nndc.bnl.gov/endf/b7.1/acefiles.html
 .. _NEA: http://www.oecd-nea.org
diff --git a/docs/source/usersguide/output/index.rst b/docs/source/usersguide/output/index.rst
deleted file mode 100644
index 31bd1da917..0000000000
--- a/docs/source/usersguide/output/index.rst
+++ /dev/null
@@ -1,16 +0,0 @@
-.. _usersguide_output:
-
-===================
-Output File Formats
-===================
-
-.. toctree::
-   :numbered:
-   :maxdepth: 3
-
-   statepoint
-   source
-   summary
-   particle_restart
-   track
-   voxel
diff --git a/docs/source/usersguide/processing.rst b/docs/source/usersguide/processing.rst
index b18569ec6a..93a17a7b8b 100644
--- a/docs/source/usersguide/processing.rst
+++ b/docs/source/usersguide/processing.rst
@@ -161,7 +161,7 @@ or
 * `VTK <http://www.vtk.org/>`_ with python bindings. On debian derivatives,
   these are easily obtained with ``sudo apt-get install python-vtk``
 
-For the HDF5 file structure, see :ref:`usersguide_voxel`.
+For the HDF5 file structure, see :ref:`io_voxel`.
 
 Once processed into a standard 3D file format, colors and masks can be defined
 using the stored id numbers to better explore the geometry. The process for
@@ -195,11 +195,11 @@ Data Extraction
 ---------------
 
 A great deal of information is available in statepoint files (See
-:ref:`usersguide_statepoint`), all of which is accessible through the Python
-API. The ``openmc.statepoint`` module (see :ref:`pythonapi_statepoint`) provides
-a class to load statepoints and access data as requested; it is used in many of
-the provided plotting utilities, OpenMC's regression test suite, and can be used
-in user-created scripts to carry out manipulations of the data.
+:ref:`io_statepoint`), all of which is accessible through the Python
+API. The :class:`openmc.StatePoint` class can load statepoints and access data
+as requested; it is used in many of the provided plotting utilities, OpenMC's
+regression test suite, and can be used in user-created scripts to carry out
+manipulations of the data.
 
 An :ref:`example IPython notebook <notebook_post_processing>` demonstrates how
 to extract data from a statepoint using the Python API.
diff --git a/docs/sphinxext/notebook_sphinxext.py b/docs/sphinxext/notebook_sphinxext.py
index a9d634a351..eab93cc8a5 100644
--- a/docs/sphinxext/notebook_sphinxext.py
+++ b/docs/sphinxext/notebook_sphinxext.py
@@ -12,10 +12,7 @@ from docutils.parsers.rst import directives, roles, states
 from docutils.parsers.rst.roles import set_classes
 from docutils.transforms import misc
 
-try:
-    from IPython.nbconver.exporters import html
-except ImportError:
-    from IPython.nbconvert import html
+from nbconvert import html
 
 
 class Notebook(Directive):
diff --git a/examples/python/basic/build-xml.py b/examples/python/basic/build-xml.py
index 488603d33f..81aecc9f99 100644
--- a/examples/python/basic/build-xml.py
+++ b/examples/python/basic/build-xml.py
@@ -1,5 +1,6 @@
 import openmc
 
+
 ###############################################################################
 #                      Simulation Input File Parameters
 ###############################################################################
@@ -11,7 +12,7 @@ particles = 10000
 
 
 ###############################################################################
-#                 Exporting to OpenMC materials.xml File
+#                 Exporting to OpenMC materials.xml file
 ###############################################################################
 
 # Instantiate some Nuclides
@@ -30,15 +31,14 @@ fuel = openmc.Material(material_id=40, name='fuel')
 fuel.set_density('g/cc', 4.5)
 fuel.add_nuclide(u235, 1.)
 
-# Instantiate a MaterialsFile, register all Materials, and export to XML
-materials_file = openmc.MaterialsFile()
+# Instantiate a Materials collection and export to XML
+materials_file = openmc.Materials([moderator, fuel])
 materials_file.default_xs = '71c'
-materials_file.add_materials([moderator, fuel])
 materials_file.export_to_xml()
 
 
 ###############################################################################
-#                 Exporting to OpenMC geometry.xml File
+#                 Exporting to OpenMC geometry.xml file
 ###############################################################################
 
 # Instantiate ZCylinder surfaces
@@ -73,31 +73,31 @@ cell1.fill = universe1
 universe1.add_cells([cell2, cell3])
 root.add_cells([cell1, cell4])
 
-# Instantiate a Geometry and register the root Universe
-geometry = openmc.Geometry()
-geometry.root_universe = root
-
-# Instantiate a GeometryFile, register Geometry, and export to XML
-geometry_file = openmc.GeometryFile()
-geometry_file.geometry = geometry
-geometry_file.export_to_xml()
+# Instantiate a Geometry, register the root Universe, and export to XML
+geometry = openmc.Geometry(root)
+geometry.export_to_xml()
 
 
 ###############################################################################
-#                   Exporting to OpenMC settings.xml File
+#                   Exporting to OpenMC settings.xml file
 ###############################################################################
 
-# Instantiate a SettingsFile, set all runtime parameters, and export to XML
-settings_file = openmc.SettingsFile()
+# Instantiate a Settings object, set all runtime parameters, and export to XML
+settings_file = openmc.Settings()
 settings_file.batches = batches
 settings_file.inactive = inactive
 settings_file.particles = particles
-settings_file.set_source_space('box', [-4, -4, -4, 4, 4, 4])
+
+# Create an initial uniform spatial source distribution over fissionable zones
+bounds = [-4., -4., -4., 4., 4., 4.]
+uniform_dist = openmc.stats.Box(bounds[:3], bounds[3:], only_fissionable=True)
+settings_file.source = openmc.source.Source(space=uniform_dist)
+
 settings_file.export_to_xml()
 
 
 ###############################################################################
-#                   Exporting to OpenMC tallies.xml File
+#                   Exporting to OpenMC tallies.xml file
 ###############################################################################
 
 # Instantiate some tally Filters
@@ -107,33 +107,21 @@ energyout_filter = openmc.Filter(type='energyout', bins=[0., 20.])
 
 # Instantiate the first Tally
 first_tally = openmc.Tally(tally_id=1, name='first tally')
-first_tally.add_filter(cell_filter)
-scores = ['total', 'scatter', 'nu-scatter', \
+first_tally.filters = [cell_filter]
+scores = ['total', 'scatter', 'nu-scatter',
           'absorption', 'fission', 'nu-fission']
-for score in scores:
-  first_tally.add_score(score)
+first_tally.scores = scores
 
 # Instantiate the second Tally
 second_tally = openmc.Tally(tally_id=2, name='second tally')
-second_tally.add_filter(cell_filter)
-second_tally.add_filter(energy_filter)
-scores = ['total', 'scatter', 'nu-scatter', \
-          'absorption', 'fission', 'nu-fission']
-for score in scores:
-  second_tally.add_score(score)
+second_tally.filters = [cell_filter, energy_filter]
+second_tally.scores = scores
 
 # Instantiate the third Tally
 third_tally = openmc.Tally(tally_id=3, name='third tally')
-third_tally.add_filter(cell_filter)
-third_tally.add_filter(energy_filter)
-third_tally.add_filter(energyout_filter)
-scores = ['scatter', 'nu-scatter', 'nu-fission']
-for score in scores:
-  third_tally.add_score(score)
+third_tally.filters = [cell_filter, energy_filter, energyout_filter]
+third_tally.scores = ['scatter', 'nu-scatter', 'nu-fission']
 
-# Instantiate a TalliesFile, register all Tallies, and export to XML
-tallies_file = openmc.TalliesFile()
-tallies_file.add_tally(first_tally)
-tallies_file.add_tally(second_tally)
-tallies_file.add_tally(third_tally)
+# Instantiate a Tallies collection and export to XML
+tallies_file = openmc.Tallies((first_tally, second_tally, third_tally))
 tallies_file.export_to_xml()
diff --git a/examples/python/boxes/build-xml.py b/examples/python/boxes/build-xml.py
index 9c28d37bb3..4be33dcf1f 100644
--- a/examples/python/boxes/build-xml.py
+++ b/examples/python/boxes/build-xml.py
@@ -1,5 +1,4 @@
 import numpy as np
-
 import openmc
 
 ###############################################################################
@@ -37,15 +36,14 @@ moderator.add_nuclide(h1, 2.)
 moderator.add_nuclide(o16, 1.)
 moderator.add_s_alpha_beta('HH2O', '71t')
 
-# Instantiate a MaterialsFile, register all Materials, and export to XML
-materials_file = openmc.MaterialsFile()
+# Instantiate a Materials collection and export to XML
+materials_file = openmc.Materials([fuel1, fuel2, moderator])
 materials_file.default_xs = '71c'
-materials_file.add_materials([fuel1, fuel2, moderator])
 materials_file.export_to_xml()
 
 
 ###############################################################################
-#                 Exporting to OpenMC geometry.xml File
+#                 Exporting to OpenMC geometry.xml file
 ###############################################################################
 
 # Instantiate planar surfaces
@@ -98,26 +96,25 @@ outer_box.fill = moderator
 root = openmc.Universe(universe_id=0, name='root universe')
 root.add_cells([inner_box, middle_box, outer_box])
 
-# Instantiate a Geometry and register the root Universe
-geometry = openmc.Geometry()
-geometry.root_universe = root
-
-# Instantiate a GeometryFile, register Geometry, and export to XML
-geometry_file = openmc.GeometryFile()
-geometry_file.geometry = geometry
-geometry_file.export_to_xml()
+# Instantiate a Geometry, register the root Universe, and export to XML
+geometry = openmc.Geometry(root)
+geometry.export_to_xml()
 
 
 ###############################################################################
 #                   Exporting to OpenMC settings.xml File
 ###############################################################################
 
-# Instantiate a SettingsFile, set all runtime parameters, and export to XML
-settings_file = openmc.SettingsFile()
+# Instantiate a Settings object, set all runtime parameters, and export to XML
+settings_file = openmc.Settings()
 settings_file.batches = batches
 settings_file.inactive = inactive
 settings_file.particles = particles
-settings_file.set_source_space('box', np.concatenate(outer_cube.bounding_box))
+
+# Create an initial uniform spatial source distribution over fissionable zones
+uniform_dist = openmc.stats.Box(*outer_cube.bounding_box, only_fissionable=True)
+settings_file.source = openmc.source.Source(space=uniform_dist)
+
 settings_file.export_to_xml()
 
 ###############################################################################
@@ -130,7 +127,6 @@ plot.width = [20, 20]
 plot.pixels = [200, 200]
 plot.color = 'cell'
 
-# Instantiate a PlotsFile, add Plot, and export to XML
-plot_file = openmc.PlotsFile()
-plot_file.add_plot(plot)
+# Instantiate a Plots collection and export to XML
+plot_file = openmc.Plots([plot])
 plot_file.export_to_xml()
diff --git a/examples/python/lattice/hexagonal/build-xml.py b/examples/python/lattice/hexagonal/build-xml.py
index 5fa0f9b1b9..05cb2cb010 100644
--- a/examples/python/lattice/hexagonal/build-xml.py
+++ b/examples/python/lattice/hexagonal/build-xml.py
@@ -1,6 +1,5 @@
 import openmc
 
-
 ###############################################################################
 #                      Simulation Input File Parameters
 ###############################################################################
@@ -36,15 +35,14 @@ iron = openmc.Material(material_id=3, name='iron')
 iron.set_density('g/cc', 7.9)
 iron.add_nuclide(fe56, 1.)
 
-# Instantiate a MaterialsFile, register all Materials, and export to XML
-materials_file = openmc.MaterialsFile()
+# Instantiate a Materials collection and export to XML
+materials_file = openmc.Materials([moderator, fuel, iron])
 materials_file.default_xs = '71c'
-materials_file.add_materials([moderator, fuel, iron])
 materials_file.export_to_xml()
 
 
 ###############################################################################
-#                 Exporting to OpenMC geometry.xml File
+#                 Exporting to OpenMC geometry.xml file
 ###############################################################################
 
 # Instantiate Surfaces
@@ -106,26 +104,26 @@ lattice.outer = univ2
 # Fill Cell with the Lattice
 cell1.fill = lattice
 
-# Instantiate a Geometry and register the root Universe
-geometry = openmc.Geometry()
-geometry.root_universe = root
-
-# Instantiate a GeometryFile, register Geometry, and export to XML
-geometry_file = openmc.GeometryFile()
-geometry_file.geometry = geometry
-geometry_file.export_to_xml()
+# Instantiate a Geometry, register the root Universe, and export to XML
+geometry = openmc.Geometry(root)
+geometry.export_to_xml()
 
 
 ###############################################################################
-#                   Exporting to OpenMC settings.xml File
+#                   Exporting to OpenMC settings.xml file
 ###############################################################################
 
-# Instantiate a SettingsFile, set all runtime parameters, and export to XML
-settings_file = openmc.SettingsFile()
+# Instantiate a Settings object, set all runtime parameters, and export to XML
+settings_file = openmc.Settings()
 settings_file.batches = batches
 settings_file.inactive = inactive
 settings_file.particles = particles
-settings_file.set_source_space('box', [-1, -1, -1, 1, 1, 1])
+
+# Create an initial uniform spatial source distribution over fissionable zones
+bounds = [-1, -1, -1, 1, 1, 1]
+uniform_dist = openmc.stats.Box(bounds[:3], bounds[3:], only_fissionable=True)
+settings_file.source = openmc.source.Source(space=uniform_dist)
+
 settings_file.keff_trigger = {'type' : 'std_dev', 'threshold' : 5E-4}
 settings_file.trigger_active = True
 settings_file.trigger_max_batches = 100
@@ -133,7 +131,7 @@ settings_file.export_to_xml()
 
 
 ###############################################################################
-#                   Exporting to OpenMC plots.xml File
+#                   Exporting to OpenMC plots.xml file
 ###############################################################################
 
 plot_xy = openmc.Plot(plot_id=1)
@@ -151,10 +149,8 @@ plot_yz.width = [8, 8]
 plot_yz.pixels = [400, 400]
 plot_yz.color = 'mat'
 
-# Instantiate a PlotsFile, add Plot, and export to XML
-plot_file = openmc.PlotsFile()
-plot_file.add_plot(plot_xy)
-plot_file.add_plot(plot_yz)
+# Instantiate a Plots collection, add plots, and export to XML
+plot_file = openmc.Plots((plot_xy, plot_yz))
 plot_file.export_to_xml()
 
 
@@ -164,10 +160,9 @@ plot_file.export_to_xml()
 
 # Instantiate a distribcell Tally
 tally = openmc.Tally(tally_id=1)
-tally.add_filter(openmc.Filter(type='distribcell', bins=[cell2.id]))
-tally.add_score('total')
+tally.filters = [openmc.Filter(type='distribcell', bins=[cell2.id])]
+tally.scores = ['total']
 
-# Instantiate a TalliesFile, register Tally/Mesh, and export to XML
-tallies_file = openmc.TalliesFile()
-tallies_file.add_tally(tally)
+# Instantiate a Tallies collection and export to XML
+tallies_file = openmc.Tallies([tally])
 tallies_file.export_to_xml()
diff --git a/examples/python/lattice/nested/build-xml.py b/examples/python/lattice/nested/build-xml.py
index 501b3ee4b4..03cede9dc5 100644
--- a/examples/python/lattice/nested/build-xml.py
+++ b/examples/python/lattice/nested/build-xml.py
@@ -1,6 +1,5 @@
 import openmc
 
-
 ###############################################################################
 #                      Simulation Input File Parameters
 ###############################################################################
@@ -12,7 +11,7 @@ particles = 10000
 
 
 ###############################################################################
-#                 Exporting to OpenMC materials.xml File
+#                 Exporting to OpenMC materials.xml file
 ###############################################################################
 
 # Instantiate some Nuclides
@@ -31,15 +30,14 @@ moderator.add_nuclide(h1, 2.)
 moderator.add_nuclide(o16, 1.)
 moderator.add_s_alpha_beta('HH2O', '71t')
 
-# Instantiate a MaterialsFile, register all Materials, and export to XML
-materials_file = openmc.MaterialsFile()
+# Instantiate a Materials collection and export to XML
+materials_file = openmc.Materials((moderator, fuel))
 materials_file.default_xs = '71c'
-materials_file.add_materials([moderator, fuel])
 materials_file.export_to_xml()
 
 
 ###############################################################################
-#                 Exporting to OpenMC geometry.xml File
+#                 Exporting to OpenMC geometry.xml file
 ###############################################################################
 
 # Instantiate Surfaces
@@ -100,14 +98,12 @@ univ4.add_cell(cell2)
 
 # Instantiate nested Lattices
 lattice1 = openmc.RectLattice(lattice_id=4, name='4x4 assembly')
-lattice1.dimension = [2, 2]
 lattice1.lower_left = [-1., -1.]
 lattice1.pitch = [1., 1.]
 lattice1.universes = [[univ1, univ2],
                       [univ2, univ3]]
 
 lattice2 = openmc.RectLattice(lattice_id=6, name='4x4 core')
-lattice2.dimension = [2, 2]
 lattice2.lower_left = [-2., -2.]
 lattice2.pitch = [2., 2.]
 lattice2.universes = [[univ4, univ4],
@@ -117,31 +113,31 @@ lattice2.universes = [[univ4, univ4],
 cell1.fill = lattice2
 cell2.fill = lattice1
 
-# Instantiate a Geometry and register the root Universe
-geometry = openmc.Geometry()
-geometry.root_universe = root
-
-# Instantiate a GeometryFile, register Geometry, and export to XML
-geometry_file = openmc.GeometryFile()
-geometry_file.geometry = geometry
-geometry_file.export_to_xml()
+# Instantiate a Geometry, register the root Universe, and export to XML
+geometry = openmc.Geometry(root)
+geometry.export_to_xml()
 
 
 ###############################################################################
-#                   Exporting to OpenMC settings.xml File
+#                   Exporting to OpenMC settings.xml file
 ###############################################################################
 
-# Instantiate a SettingsFile, set all runtime parameters, and export to XML
-settings_file = openmc.SettingsFile()
+# Instantiate a Settings object, set all runtime parameters, and export to XML
+settings_file = openmc.Settings()
 settings_file.batches = batches
 settings_file.inactive = inactive
 settings_file.particles = particles
-settings_file.set_source_space('box', [-1, -1, -1, 1, 1, 1])
+
+# Create an initial uniform spatial source distribution over fissionable zones
+bounds = [-1, -1, -1, 1, 1, 1]
+uniform_dist = openmc.stats.Box(bounds[:3], bounds[3:], only_fissionable=True)
+settings_file.source = openmc.source.Source(space=uniform_dist)
+
 settings_file.export_to_xml()
 
 
 ###############################################################################
-#                   Exporting to OpenMC plots.xml File
+#                   Exporting to OpenMC plots.xml file
 ###############################################################################
 
 plot = openmc.Plot(plot_id=1)
@@ -150,14 +146,13 @@ plot.width = [4, 4]
 plot.pixels = [400, 400]
 plot.color = 'mat'
 
-# Instantiate a PlotsFile, add Plot, and export to XML
-plot_file = openmc.PlotsFile()
-plot_file.add_plot(plot)
+# Instantiate a Plots object and export to XML
+plot_file = openmc.Plots([plot])
 plot_file.export_to_xml()
 
 
 ###############################################################################
-#                   Exporting to OpenMC tallies.xml File
+#                   Exporting to OpenMC tallies.xml file
 ###############################################################################
 
 # Instantiate a tally mesh
@@ -173,11 +168,9 @@ mesh_filter.mesh = mesh
 
 # Instantiate the Tally
 tally = openmc.Tally(tally_id=1)
-tally.add_filter(mesh_filter)
-tally.add_score('total')
+tally.filters = [mesh_filter]
+tally.scores = ['total']
 
-# Instantiate a TalliesFile, register Tally/Mesh, and export to XML
-tallies_file = openmc.TalliesFile()
-tallies_file.add_mesh(mesh)
-tallies_file.add_tally(tally)
+# Instantiate a Tallies collection, register Tally/Mesh, and export to XML
+tallies_file = openmc.Tallies([tally])
 tallies_file.export_to_xml()
diff --git a/examples/python/lattice/simple/build-xml.py b/examples/python/lattice/simple/build-xml.py
index 00fbea22a4..5a642d3086 100644
--- a/examples/python/lattice/simple/build-xml.py
+++ b/examples/python/lattice/simple/build-xml.py
@@ -11,7 +11,7 @@ particles = 10000
 
 
 ###############################################################################
-#                 Exporting to OpenMC materials.xml File
+#                 Exporting to OpenMC materials.xml file
 ###############################################################################
 
 # Instantiate some Nuclides
@@ -30,15 +30,14 @@ moderator.add_nuclide(h1, 2.)
 moderator.add_nuclide(o16, 1.)
 moderator.add_s_alpha_beta('HH2O', '71t')
 
-# Instantiate a MaterialsFile, register all Materials, and export to XML
-materials_file = openmc.MaterialsFile()
+# Instantiate a Materials collection and export to XML
+materials_file = openmc.Materials([moderator, fuel])
 materials_file.default_xs = '71c'
-materials_file.add_materials([moderator, fuel])
 materials_file.export_to_xml()
 
 
 ###############################################################################
-#                 Exporting to OpenMC geometry.xml File
+#                 Exporting to OpenMC geometry.xml file
 ###############################################################################
 
 # Instantiate Surfaces
@@ -95,7 +94,6 @@ root.add_cell(cell1)
 
 # Instantiate a Lattice
 lattice = openmc.RectLattice(lattice_id=5)
-lattice.dimension = [4, 4]
 lattice.lower_left = [-2., -2.]
 lattice.pitch = [1., 1.]
 lattice.universes = [[univ1, univ2, univ1, univ2],
@@ -106,33 +104,33 @@ lattice.universes = [[univ1, univ2, univ1, univ2],
 # Fill Cell with the Lattice
 cell1.fill = lattice
 
-# Instantiate a Geometry and register the root Universe
-geometry = openmc.Geometry()
-geometry.root_universe = root
-
-# Instantiate a GeometryFile, register Geometry, and export to XML
-geometry_file = openmc.GeometryFile()
-geometry_file.geometry = geometry
-geometry_file.export_to_xml()
+# Instantiate a Geometry, register the root Universe, and export to XML
+geometry = openmc.Geometry(root)
+geometry.export_to_xml()
 
 
 ###############################################################################
-#                   Exporting to OpenMC settings.xml File
+#                   Exporting to OpenMC settings.xml file
 ###############################################################################
 
-# Instantiate a SettingsFile, set all runtime parameters, and export to XML
-settings_file = openmc.SettingsFile()
+# Instantiate a Settings object, set all runtime parameters, and export to XML
+settings_file = openmc.Settings()
 settings_file.batches = batches
 settings_file.inactive = inactive
 settings_file.particles = particles
-settings_file.set_source_space('box', [-1, -1, -1, 1, 1, 1])
+
+# Create an initial uniform spatial source distribution over fissionable zones
+bounds = [-1, -1, -1, 1, 1, 1]
+uniform_dist = openmc.stats.Box(bounds[:3], bounds[3:], only_fissionable=True)
+settings_file.source = openmc.source.Source(space=uniform_dist)
+
 settings_file.trigger_active = True
 settings_file.trigger_max_batches = 100
 settings_file.export_to_xml()
 
 
 ###############################################################################
-#                   Exporting to OpenMC plots.xml File
+#                   Exporting to OpenMC plots.xml file
 ###############################################################################
 
 plot = openmc.Plot(plot_id=1)
@@ -141,14 +139,13 @@ plot.width = [4, 4]
 plot.pixels = [400, 400]
 plot.color = 'mat'
 
-# Instantiate a PlotsFile, add Plot, and export to XML
-plot_file = openmc.PlotsFile()
-plot_file.add_plot(plot)
+# Instantiate a Plots collection and export to XML
+plot_file = openmc.Plots([plot])
 plot_file.export_to_xml()
 
 
 ###############################################################################
-#                   Exporting to OpenMC tallies.xml File
+#                   Exporting to OpenMC tallies.xml file
 ###############################################################################
 
 # Instantiate a tally mesh
@@ -164,16 +161,14 @@ mesh_filter.mesh = mesh
 
 # Instantiate tally Trigger
 trigger = openmc.Trigger(trigger_type='rel_err', threshold=1E-2)
-trigger.add_score('all')
+trigger.scores = ['all']
 
 # Instantiate the Tally
 tally = openmc.Tally(tally_id=1)
-tally.add_filter(mesh_filter)
-tally.add_score('total')
-tally.add_trigger(trigger)
+tally.filters = [mesh_filter]
+tally.scores = ['total']
+tally.triggers = [trigger]
 
-# Instantiate a TalliesFile, register Tally/Mesh, and export to XML
-tallies_file = openmc.TalliesFile()
-tallies_file.add_mesh(mesh)
-tallies_file.add_tally(tally)
+# Instantiate a Tallies collection and export to XML
+tallies_file = openmc.Tallies([tally])
 tallies_file.export_to_xml()
diff --git a/examples/python/pincell/build-xml.py b/examples/python/pincell/build-xml.py
index b3bb932dc8..0afb2527f6 100644
--- a/examples/python/pincell/build-xml.py
+++ b/examples/python/pincell/build-xml.py
@@ -11,7 +11,7 @@ particles = 1000
 
 
 ###############################################################################
-#                 Exporting to OpenMC materials.xml File
+#                 Exporting to OpenMC materials.xml file
 ###############################################################################
 
 # Instantiate some Nuclides
@@ -100,15 +100,14 @@ borated_water.add_nuclide(o16, 2.4672e-2)
 borated_water.add_nuclide(o17, 6.0099e-5)
 borated_water.add_s_alpha_beta('HH2O', '71t')
 
-# Instantiate a MaterialsFile, register all Materials, and export to XML
-materials_file = openmc.MaterialsFile()
+# Instantiate a Materials collection and export to XML
+materials_file = openmc.Materials([uo2, helium, zircaloy, borated_water])
 materials_file.default_xs = '71c'
-materials_file.add_materials([uo2, helium, zircaloy, borated_water])
 materials_file.export_to_xml()
 
 
 ###############################################################################
-#                 Exporting to OpenMC geometry.xml File
+#                 Exporting to OpenMC geometry.xml file
 ###############################################################################
 
 # Instantiate ZCylinder surfaces
@@ -149,27 +148,26 @@ root = openmc.Universe(universe_id=0, name='root universe')
 # Register Cells with Universe
 root.add_cells([fuel, gap, clad, water])
 
-# Instantiate a Geometry and register the root Universe
-geometry = openmc.Geometry()
-geometry.root_universe = root
-
-# Instantiate a GeometryFile, register Geometry, and export to XML
-geometry_file = openmc.GeometryFile()
-geometry_file.geometry = geometry
-geometry_file.export_to_xml()
+# Instantiate a Geometry, register the root Universe, and export to XML
+geometry = openmc.Geometry(root)
+geometry.export_to_xml()
 
 
 ###############################################################################
-#                   Exporting to OpenMC settings.xml File
+#                   Exporting to OpenMC settings.xml file
 ###############################################################################
 
-# Instantiate a SettingsFile, set all runtime parameters, and export to XML
-settings_file = openmc.SettingsFile()
+# Instantiate a Settings object, set all runtime parameters, and export to XML
+settings_file = openmc.Settings()
 settings_file.batches = batches
 settings_file.inactive = inactive
 settings_file.particles = particles
-settings_file.set_source_space('box', [-0.62992, -0.62992, -1, \
-                                      0.62992, 0.62992, 1])
+
+# Create an initial uniform spatial source distribution over fissionable zones
+bounds = [-0.62992, -0.62992, -1, 0.62992, 0.62992, 1]
+uniform_dist = openmc.stats.Box(bounds[:3], bounds[3:], only_fissionable=True)
+settings_file.source = openmc.source.Source(space=uniform_dist)
+
 settings_file.entropy_lower_left = [-0.39218, -0.39218, -1.e50]
 settings_file.entropy_upper_right = [0.39218, 0.39218, 1.e50]
 settings_file.entropy_dimension = [10, 10, 1]
@@ -177,7 +175,7 @@ settings_file.export_to_xml()
 
 
 ###############################################################################
-#                   Exporting to OpenMC tallies.xml File
+#                   Exporting to OpenMC tallies.xml file
 ###############################################################################
 
 # Instantiate a tally mesh
@@ -194,14 +192,9 @@ mesh_filter.mesh = mesh
 
 # Instantiate the Tally
 tally = openmc.Tally(tally_id=1, name='tally 1')
-tally.add_filter(energy_filter)
-tally.add_filter(mesh_filter)
-tally.add_score('flux')
-tally.add_score('fission')
-tally.add_score('nu-fission')
+tally.filters = [energy_filter, mesh_filter]
+tally.scores = ['flux', 'fission', 'nu-fission']
 
-# Instantiate a TalliesFile, register all Tallies, and export to XML
-tallies_file = openmc.TalliesFile()
-tallies_file.add_mesh(mesh)
-tallies_file.add_tally(tally)
+# Instantiate a Tallies collection and export to XML
+tallies_file = openmc.Tallies([tally])
 tallies_file.export_to_xml()
diff --git a/examples/python/pincell_multigroup/build-xml.py b/examples/python/pincell_multigroup/build-xml.py
new file mode 100644
index 0000000000..6dbfa336bb
--- /dev/null
+++ b/examples/python/pincell_multigroup/build-xml.py
@@ -0,0 +1,170 @@
+import openmc
+import openmc.mgxs
+
+###############################################################################
+#                      Simulation Input File Parameters
+###############################################################################
+
+# OpenMC simulation parameters
+batches = 100
+inactive = 10
+particles = 1000
+
+###############################################################################
+#                 Exporting to OpenMC mgxs.xml file
+###############################################################################
+
+# Instantiate the energy group data
+groups = openmc.mgxs.EnergyGroups(group_edges=[1E-11, 0.0635E-6, 10.0E-6,
+                                               1.0E-4, 1.0E-3, 0.5, 1.0, 20.0])
+
+# Instantiate the 7-group (C5G7) cross section data
+uo2_xsdata = openmc.XSdata('UO2.300K', groups)
+uo2_xsdata.order = 0
+uo2_xsdata.total = [0.1779492, 0.3298048, 0.4803882, 0.5543674,
+                    0.3118013, 0.3951678, 0.5644058]
+uo2_xsdata.absorption = [8.0248E-03, 3.7174E-03, 2.6769E-02, 9.6236E-02,
+                         3.0020E-02, 1.1126E-01, 2.8278E-01]
+uo2_xsdata.scatter = [[[0.1275370, 0.0423780, 0.0000094, 0.0000000, 0.0000000, 0.0000000, 0.0000000],
+                       [0.0000000, 0.3244560, 0.0016314, 0.0000000, 0.0000000, 0.0000000, 0.0000000],
+                       [0.0000000, 0.0000000, 0.4509400, 0.0026792, 0.0000000, 0.0000000, 0.0000000],
+                       [0.0000000, 0.0000000, 0.0000000, 0.4525650, 0.0055664, 0.0000000, 0.0000000],
+                       [0.0000000, 0.0000000, 0.0000000, 0.0001253, 0.2714010, 0.0102550, 0.0000000],
+                       [0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0012968, 0.2658020, 0.0168090],
+                       [0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0085458, 0.2730800]]]
+uo2_xsdata.fission = [7.21206E-03, 8.19301E-04, 6.45320E-03,
+                      1.85648E-02, 1.78084E-02, 8.30348E-02,
+                      2.16004E-01]
+uo2_xsdata.nu_fission = [2.005998E-02, 2.027303E-03, 1.570599E-02,
+                         4.518301E-02, 4.334208E-02, 2.020901E-01,
+                         5.257105E-01]
+uo2_xsdata.chi = [5.8791E-01, 4.1176E-01, 3.3906E-04, 1.1761E-07,
+                  0.0000E+00, 0.0000E+00, 0.0000E+00]
+
+h2o_xsdata = openmc.XSdata('LWTR.300K', groups)
+h2o_xsdata.order = 0
+h2o_xsdata.total = [0.15920605, 0.412969593, 0.59030986, 0.58435,
+                    0.718, 1.2544497, 2.650379]
+h2o_xsdata.absorption = [6.0105E-04, 1.5793E-05, 3.3716E-04,
+                         1.9406E-03, 5.7416E-03, 1.5001E-02,
+                         3.7239E-02]
+h2o_xsdata.scatter = [[[0.0444777, 0.1134000, 0.0007235, 0.0000037, 0.0000001, 0.0000000, 0.0000000],
+                       [0.0000000, 0.2823340, 0.1299400, 0.0006234, 0.0000480, 0.0000074, 0.0000010],
+                       [0.0000000, 0.0000000, 0.3452560, 0.2245700, 0.0169990, 0.0026443, 0.0005034],
+                       [0.0000000, 0.0000000, 0.0000000, 0.0910284, 0.4155100, 0.0637320, 0.0121390],
+                       [0.0000000, 0.0000000, 0.0000000, 0.0000714, 0.1391380, 0.5118200, 0.0612290],
+                       [0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0022157, 0.6999130, 0.5373200],
+                       [0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.1324400, 2.4807000]]]
+
+mg_cross_sections_file = openmc.MGXSLibrary(groups)
+mg_cross_sections_file.add_xsdatas([uo2_xsdata, h2o_xsdata])
+mg_cross_sections_file.export_to_xml()
+
+
+###############################################################################
+#                 Exporting to OpenMC materials.xml file
+###############################################################################
+
+# Instantiate some Macroscopic Data
+uo2_data = openmc.Macroscopic('UO2', '300K')
+h2o_data = openmc.Macroscopic('LWTR', '300K')
+
+# Instantiate some Materials and register the appropriate Macroscopic objects
+uo2 = openmc.Material(material_id=1, name='UO2 fuel')
+uo2.set_density('macro', 1.0)
+uo2.add_macroscopic(uo2_data)
+
+water = openmc.Material(material_id=2, name='Water')
+water.set_density('macro', 1.0)
+water.add_macroscopic(h2o_data)
+
+# Instantiate a Materials collection and export to XML
+materials_file = openmc.Materials([uo2, water])
+materials_file.default_xs = '300K'
+materials_file.export_to_xml()
+
+
+###############################################################################
+#                 Exporting to OpenMC geometry.xml file
+###############################################################################
+
+# Instantiate ZCylinder surfaces
+fuel_or = openmc.ZCylinder(surface_id=1, x0=0, y0=0, R=0.54, name='Fuel OR')
+left = openmc.XPlane(surface_id=4, x0=-0.63, name='left')
+right = openmc.XPlane(surface_id=5, x0=0.63, name='right')
+bottom = openmc.YPlane(surface_id=6, y0=-0.63, name='bottom')
+top = openmc.YPlane(surface_id=7, y0=0.63, name='top')
+
+left.boundary_type = 'reflective'
+right.boundary_type = 'reflective'
+top.boundary_type = 'reflective'
+bottom.boundary_type = 'reflective'
+
+# Instantiate Cells
+fuel = openmc.Cell(cell_id=1, name='cell 1')
+moderator = openmc.Cell(cell_id=2, name='cell 2')
+
+# Use surface half-spaces to define regions
+fuel.region = -fuel_or
+moderator.region = +fuel_or & +left & -right & +bottom & -top
+
+# Register Materials with Cells
+fuel.fill = uo2
+moderator.fill = water
+
+# Instantiate Universe
+root = openmc.Universe(universe_id=0, name='root universe')
+
+# Register Cells with Universe
+root.add_cells([fuel, moderator])
+
+# Instantiate a Geometry, register the root Universe, and export to XML
+geometry = openmc.Geometry(root)
+geometry.export_to_xml()
+
+
+###############################################################################
+#                   Exporting to OpenMC settings.xml file
+###############################################################################
+
+# Instantiate a Settings object, set all runtime parameters, and export to XML
+settings_file = openmc.Settings()
+settings_file.energy_mode = "multi-group"
+settings_file.cross_sections = "./mgxs.xml"
+settings_file.batches = batches
+settings_file.inactive = inactive
+settings_file.particles = particles
+
+# Create an initial uniform spatial source distribution over fissionable zones
+bounds = [-0.63, -0.63, -1, 0.63, 0.63, 1]
+uniform_dist = openmc.stats.Box(bounds[:3], bounds[3:])
+settings_file.source = openmc.source.Source(space=uniform_dist)
+
+settings_file.export_to_xml()
+
+###############################################################################
+#                   Exporting to OpenMC tallies.xml file
+###############################################################################
+
+# Instantiate a tally mesh
+mesh = openmc.Mesh(mesh_id=1)
+mesh.type = 'regular'
+mesh.dimension = [100, 100, 1]
+mesh.lower_left = [-0.63, -0.63, -1.e50]
+mesh.upper_right = [0.63, 0.63, 1.e50]
+
+# Instantiate some tally Filters
+energy_filter = openmc.Filter(type='energy',
+                              bins=[1E-11, 0.0635E-6, 10.0E-6, 1.0E-4, 1.0E-3,
+                                    0.5, 1.0, 20.0])
+mesh_filter = openmc.Filter()
+mesh_filter.mesh = mesh
+
+# Instantiate the Tally
+tally = openmc.Tally(tally_id=1, name='tally 1')
+tally.filters = [energy_filter, mesh_filter]
+tally.scores = ['flux', 'fission', 'nu-fission']
+
+# Instantiate a Tallies collection, register all Tallies, and export to XML
+tallies_file = openmc.Tallies([tally])
+tallies_file.export_to_xml()
diff --git a/examples/python/reflective/build-xml.py b/examples/python/reflective/build-xml.py
index 44b544d20d..949e57c8c7 100644
--- a/examples/python/reflective/build-xml.py
+++ b/examples/python/reflective/build-xml.py
@@ -1,5 +1,4 @@
 import numpy as np
-
 import openmc
 
 ###############################################################################
@@ -13,7 +12,7 @@ particles = 10000
 
 
 ###############################################################################
-#                 Exporting to OpenMC materials.xml File
+#                 Exporting to OpenMC materials.xml file
 ###############################################################################
 
 # Instantiate a Nuclides
@@ -24,15 +23,14 @@ fuel = openmc.Material(material_id=1, name='fuel')
 fuel.set_density('g/cc', 4.5)
 fuel.add_nuclide(u235, 1.)
 
-# Instantiate a MaterialsFile, register Material, and export to XML
-materials_file = openmc.MaterialsFile()
+# Instantiate a Materials collection and export to XML
+materials_file = openmc.Materials([fuel])
 materials_file.default_xs = '71c'
-materials_file.add_material(fuel)
 materials_file.export_to_xml()
 
 
 ###############################################################################
-#                 Exporting to OpenMC geometry.xml File
+#                 Exporting to OpenMC geometry.xml file
 ###############################################################################
 
 # Instantiate Surfaces
@@ -65,24 +63,24 @@ root = openmc.Universe(universe_id=0, name='root universe')
 # Register Cell with Universe
 root.add_cell(cell)
 
-# Instantiate a Geometry and register the root Universe
-geometry = openmc.Geometry()
-geometry.root_universe = root
-
-# Instantiate a GeometryFile, register Geometry, and export to XML
-geometry_file = openmc.GeometryFile()
-geometry_file.geometry = geometry
-geometry_file.export_to_xml()
+# Instantiate a Geometry, register the root Universe, and export to XML
+geometry = openmc.Geometry(root)
+geometry.export_to_xml()
 
 
 ###############################################################################
-#                   Exporting to OpenMC settings.xml File
+#                   Exporting to OpenMC settings.xml file
 ###############################################################################
 
-# Instantiate a SettingsFile, set all runtime parameters, and export to XML
-settings_file = openmc.SettingsFile()
+# Instantiate a Settings object, set all runtime parameters, and export to XML
+settings_file = openmc.Settings()
 settings_file.batches = batches
 settings_file.inactive = inactive
 settings_file.particles = particles
-settings_file.set_source_space('box', np.concatenate(cell.region.bounding_box))
+
+# Create an initial uniform spatial source distribution over fissionable zones
+uniform_dist = openmc.stats.Box(*cell.region.bounding_box,
+                                only_fissionable=True)
+settings_file.source = openmc.source.Source(space=uniform_dist)
+
 settings_file.export_to_xml()
diff --git a/examples/xml/pincell_multigroup/geometry.xml b/examples/xml/pincell_multigroup/geometry.xml
new file mode 100644
index 0000000000..94c70cb340
--- /dev/null
+++ b/examples/xml/pincell_multigroup/geometry.xml
@@ -0,0 +1,16 @@
+<geometry>
+
+  
+
+  <surface coeffs="0. 0. 0.540" id="1" type="z-cylinder" />
+  
+  <surface boundary="reflective" coeffs="-0.63" id="20" type="x-plane" />
+  <surface boundary="reflective" coeffs=" 0.63" id="21" type="x-plane" />
+  <surface boundary="reflective" coeffs="-0.63" id="22" type="y-plane" />
+  <surface boundary="reflective" coeffs=" 0.63" id="23" type="y-plane" />
+
+  
+  <cell id="1" material="1" region="  -1" />
+  <cell id="2" material="7" region="1 20 -21 22 -23" />
+
+</geometry>
diff --git a/examples/xml/pincell_multigroup/materials.xml b/examples/xml/pincell_multigroup/materials.xml
new file mode 100644
index 0000000000..6961166541
--- /dev/null
+++ b/examples/xml/pincell_multigroup/materials.xml
@@ -0,0 +1,54 @@
+<?xml version="1.0"?>
+<materials>
+  <!-- Set default xs set to use 300K data -->
+  <default_xs>300K</default_xs>
+
+  <!-- UO2 -->
+  <material id="1">
+    <density units="macro" value="1.0" />
+    <macroscopic name="UO2"/>
+  </material>
+
+  <!-- 4.3% MOX -->
+  <material id="2">
+    <density units="macro" value="1.0" />
+    <macroscopic name="MOX1"/>
+  </material>
+
+  <!-- 7.0 MOX -->
+  <material id="3">
+    <density units="macro" value="1.0" />
+    <macroscopic name="MOX2"/>
+  </material>
+
+  <!-- 8.0% MOX -->
+  <material id="4">
+    <density units="macro" value="1.0" />
+    <macroscopic name="MOX3"/>
+  </material>
+
+  <!-- Fission Chamber -->
+  <material id="5">
+    <density units="macro" value="1.0" />
+    <macroscopic name="FC"/>
+  </material>
+
+  <!-- Guide Tube -->
+  <material id="6">
+    <density units="macro" value="1.0" />
+    <macroscopic name="GT"/>
+  </material>
+
+  <!-- Water -->
+  <material id="7">
+    <density units="macro" value="1.0" />
+    <macroscopic name="LWTR"/>
+  </material>
+
+  <!-- Control Rod -->
+  <material id="8">
+    <density units="macro" value="1.0" />
+    <macroscopic name="CR"/>
+  </material>
+
+</materials>
diff --git a/examples/xml/pincell_multigroup/mg_cross_sections.xml b/examples/xml/pincell_multigroup/mg_cross_sections.xml
new file mode 100644
index 0000000000..3c671a1922
--- /dev/null
+++ b/examples/xml/pincell_multigroup/mg_cross_sections.xml
@@ -0,0 +1,383 @@
+<?xml version="1.0"?>
+<library>
+  <!-- Before getting to the data, set common information -->
+  <groups> 7 </groups>
+  <group_structure>
+    1E-11 0.0635E-6 10.0E-6 1.0E-4 1.0E-3 0.5 1.0 20.0
+  </group_structure>
+
+  <!--
+    Move on to the data.  Each <xsdata> has a unique id and label.
+  -->
+  <xsdata>
+    <!-- Meta data for this data -->
+    <name>UO2.300K</name>
+    <alias>UO2.300K</alias>
+    <kT> 2.53E-8 </kT> <!-- in MeV -->
+    <order>0</order>
+    <fissionable>true</fissionable>
+    <!-- Optional (default is isotropic) -->
+    <representation>isotropic</representation>
+
+    <!-- The data itself, like tallies,
+      goes from low energies (groups) to high energies
+    -->
+    <absorption>
+      8.0248E-03 3.7174E-03 2.6769E-02 9.6236E-02 3.0020E-02 1.1126E-01 2.8278E-01
+    </absorption>
+
+    <nu_fission>
+      2.005998E-02 2.027303E-03 1.570599E-02 4.518301E-02 4.334208E-02 2.020901E-01 5.257105E-01
+    </nu_fission>
+
+    <chi>
+      5.8791E-01 4.1176E-01 3.3906E-04 1.1761E-07 0.0000E+00 0.0000E+00 0.0000E+00
+    </chi>
+    <fission>
+      7.21206E-03 8.19301E-04 6.45320E-03 1.85648E-02 1.78084E-02 8.30348E-02 2.16004E-01
+    </fission>
+
+    <!-- units of MeV/cm -->
+    <!-- If no kappa fission tallies, this is not needed; it will not be loaded
+         if there is no kappa fission scores anyways -->
+    <k_fission>
+      1.0 1.0 1.0 1.0 1.0 1.0 1.0
+    </k_fission>
+
+    <!-- for consistency must include nu-scatter -->
+    <!-- will be a matrix of (order+1) x g_in x g_out -->
+    <scatter>
+      0.1275370 0.0423780 0.0000094 0.0000000 0.0000000 0.0000000 0.0000000
+      0.0000000 0.3244560 0.0016314 0.0000000 0.0000000 0.0000000 0.0000000
+      0.0000000 0.0000000 0.4509400 0.0026792 0.0000000 0.0000000 0.0000000
+      0.0000000 0.0000000 0.0000000 0.4525650 0.0055664 0.0000000 0.0000000
+      0.0000000 0.0000000 0.0000000 0.0001253 0.2714010 0.0102550 0.0000000
+      0.0000000 0.0000000 0.0000000 0.0000000 0.0012968 0.2658020 0.0168090
+      0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0085458 0.2730800
+    </scatter>
+
+    <!-- If total is not provided, it will be calculated.
+    However, in the C5G7 problems, we want to use a transport-corrected value
+    so we dont want to have it be calculated -->
+    <total>
+      0.1779492 0.3298048 0.4803882 0.5543674000000001  0.3118013 0.39516779999999996 0.5644058
+    </total>
+
+  </xsdata>
+
+  <xsdata>
+    <!-- Meta data for this data -->
+    <name>MOX1.300K</name>
+    <alias>MOX1.300K</alias>
+    <kT> 2.53E-8 </kT> <!-- in MeV -->
+    <order>0</order>
+    <fissionable>true</fissionable>
+
+    <!-- The data itself, like tallies,
+      goes from low energies (groups) to high energies
+    -->
+    <absorption>
+      8.4339E-03 3.7577E-03 2.7970E-02 1.0421E-01 1.3994E-01 4.0918E-01 4.0935E-01
+    </absorption>
+    <!--
+      Since chi_vector is false, this will be a matrix
+      Matrix is g_in, g_out.
+      This is to show that you can either use a chi vector + nu_fission vector,
+      like in the UO2 data, or a nu_fission matrix like here.
+    -->
+    <nu_fission>
+      1.27888062E-02  8.95701528E-03  7.37557218E-06  2.55837033E-09  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      1.49041240E-03  1.04385401E-03  8.59552023E-07  2.98153464E-10  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      9.56411400E-03  6.69850756E-03  5.51582469E-06  1.91327830E-09  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      3.84928781E-02  2.69596154E-02  2.21996483E-05  7.70040890E-09  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      1.80629998E-02  1.26509513E-02  1.04173100E-05  3.61346022E-09  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      3.91930789E-01  2.74500216E-01  2.26034688E-04  7.84048241E-08  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      4.19762096E-01  2.93992687E-01  2.42085585E-04  8.39724109E-08  0.00000000E+00  0.00000000E+00  0.00000000E+00
+    </nu_fission>
+
+    <fission>
+      7.62704E-03 8.76898E-04 5.69835E-03 2.28872E-02 1.07635E-02 2.32757E-01 2.48968E-01
+    </fission>
+
+     <!-- units of MeV/cm -->
+    <k_fission>
+      1.0 1.0 1.0 1.0 1.0 1.0 1.0
+    </k_fission>
+
+    <!-- for consistency must include nu-scatter -->
+    <!-- will be a matrix of (order+1) x g_in x g_out -->
+    <scatter>
+      1.27537000E-01  4.23780000E-02  9.43740000E-06  5.51630000E-09  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      0.00000000E+00  3.24456000E-01  1.63140000E-03  3.14270000E-09  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      0.00000000E+00  0.00000000E+00  4.50940000E-01  2.67920000E-03  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      0.00000000E+00  0.00000000E+00  0.00000000E+00  4.52565000E-01  5.56640000E-03  0.00000000E+00  0.00000000E+00
+      0.00000000E+00  0.00000000E+00  0.00000000E+00  1.25250000E-04  2.71401000E-01  1.02550000E-02  1.00210000E-08
+      0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00  1.29680000E-03  2.65802000E-01  1.68090000E-02
+      0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00  8.54580000E-03  2.73080000E-01
+    </scatter>
+
+    <total>
+      0.1783583429163 0.3298451031427 0.4815892 0.5623414 0.421721260021 0.6930878 0.6909757999999999
+    </total>
+
+  </xsdata>
+
+  <xsdata>
+    <!-- Meta data for this data -->
+    <name>MOX2.300K</name>
+    <alias>MOX2.300K</alias>
+    <kT> 2.53E-8 </kT> <!-- in MeV -->
+    <order>0</order>
+    <fissionable>true</fissionable>
+
+    <!-- The data itself, like tallies,
+      goes from low energies (groups) to high energies
+    -->
+    <absorption>
+      0.0090657 0.0042967 0.032881 0.12203 0.18298 0.56846 0.58521
+    </absorption>
+    <!--
+      Since chi_vector is false, this will be a matrix
+      Matrix is g_in, g_out !!! Need to get these values looking right to match
+      output of a nu-fission tally with <energy> filter above <energyout> filter
+    -->
+    <nu_fission>
+      1.40004593E-02  9.80563205E-03  8.07435789E-06  2.80075866E-09  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      2.26856185E-03  1.58885378E-03  1.30832709E-06  4.53820413E-10  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      1.41886199E-02  9.93741584E-03  8.18287404E-06  2.83839974E-09  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      5.54788444E-02  3.88562347E-02  3.19958106E-05  1.10984111E-08  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      2.69085702E-02  1.88462058E-02  1.55187355E-05  5.38299559E-09  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      5.45687127E-01  3.82187973E-01  3.14709185E-04  1.09163414E-07  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      6.13307712E-01  4.29548032E-01  3.53707392E-04  1.22690752E-07  0.00000000E+00  0.00000000E+00  0.00000000E+00
+    </nu_fission>
+
+    <fission>
+      0.00825446 0.00132565 0.00842156 0.032873 0.0159636 0.323794 0.362803
+    </fission>
+
+     <!-- units of MeV/cm -->
+    <k_fission>
+      1.0 1.0 1.0 1.0 1.0 1.0 1.0
+    </k_fission>
+
+    <!-- for consistency must include nu-scatter -->
+    <!-- will be a matrix of (order+1) x g_in x g_out -->
+    <scatter>
+      1.30457000E-01  4.17920000E-02  8.51050000E-06  5.13290000E-09  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      0.00000000E+00  3.28428000E-01  1.64360000E-03  2.20170000E-09  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      0.00000000E+00  0.00000000E+00  4.58371000E-01  2.53310000E-03  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      0.00000000E+00  0.00000000E+00  0.00000000E+00  4.63709000E-01  5.47660000E-03  0.00000000E+00  0.00000000E+00
+      0.00000000E+00  0.00000000E+00  0.00000000E+00  1.76190000E-04  2.82313000E-01  8.72890000E-03  9.00160000E-09
+      0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00  2.27600000E-03  2.49751000E-01  1.31140000E-02
+      0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00  8.86450000E-03  2.59529000E-01
+    </scatter>
+
+    <total>
+      0.1813232156329 0.3343683022017 0.4937851 0.5912156 0.47419809900160004 0.833601 0.8536035
+    </total>
+
+  </xsdata>
+
+  <xsdata>
+    <!-- Meta data for this data -->
+    <name>MOX3.300K</name>
+    <alias>MOX3.300K</alias>
+    <kT> 2.53E-8 </kT> <!-- in MeV -->
+    <order>0</order>
+    <fissionable>true</fissionable>
+
+    <!-- The data itself, like tallies,
+      goes from low energies (groups) to high energies
+    -->
+    <absorption>
+      9.48620000E-03 4.65560000E-03 3.62400000E-02 1.32720000E-01 2.08400000E-01 6.58700000E-01 6.90170000E-01
+    </absorption>
+    <!--
+      Since chi_vector is false, this will be a matrix
+      Matrix is g_in, g_out !!! Need to get these values looking right to match
+      output of a nu-fission tally with <energy> filter above <energyout> filter
+    -->
+    <nu_fission>
+      1.48071013E-02  1.03705874E-02  8.53956516E-06  2.96212546E-09  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      2.78640474E-03  1.95154023E-03  1.60697792E-06  5.57413653E-10  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      1.73304404E-02  1.21378819E-02  9.99482763E-06  3.46691346E-09  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      6.59928975E-02  4.62200600E-02  3.80594850E-05  1.32017225E-08  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      3.25131926E-02  2.27715674E-02  1.87510386E-05  6.50418701E-09  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      6.32002662E-01  4.42641588E-01  3.64489161E-04  1.26430632E-07  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      7.28595687E-01  5.10293344E-01  4.20196380E-04  1.45753838E-07  0.00000000E+00  0.00000000E+00  0.00000000E+00
+    </nu_fission>
+
+    <fission>
+      8.67209000E-03 1.62426000E-03 1.02716000E-02 3.90447000E-02 1.92576000E-02 3.74888000E-01 4.30599000E-01
+    </fission>
+
+     <!-- units of MeV/cm -->
+    <k_fission>
+      1.0 1.0 1.0 1.0 1.0 1.0 1.0
+    </k_fission>
+
+    <!-- for consistency must include nu-scatter -->
+    <!-- will be a matrix of (order+1) x g_in x g_out -->
+    <scatter>
+      1.31504000E-01  4.20460000E-02  8.69720000E-06  5.19380000E-09  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      0.00000000E+00  3.30403000E-01  1.64630000E-03  2.60060000E-09  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      0.00000000E+00  0.00000000E+00  4.61792000E-01  2.47490000E-03  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      0.00000000E+00  0.00000000E+00  0.00000000E+00  4.68021000E-01  5.43300000E-03  0.00000000E+00  0.00000000E+00
+      0.00000000E+00  0.00000000E+00  0.00000000E+00  1.85970000E-04  2.85771000E-01  8.39730000E-03  8.92800000E-09
+      0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00  2.39160000E-03  2.47614000E-01  1.23220000E-02
+      0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00  8.96810000E-03  2.56093000E-01
+    </scatter>
+
+    <total>
+      1.83044902E-01 3.36704903E-01 5.00506900E-01 6.06174000E-01 5.02754279E-01 9.21027600E-01 9.55231100E-01
+    </total>
+
+  </xsdata>
+
+  <xsdata>
+    <!-- Meta data for this data -->
+    <name>FC.300K</name>
+    <alias>FC.300K</alias>
+    <kT> 2.53E-8 </kT> <!-- in MeV -->
+    <order>0</order>
+    <fissionable>true</fissionable>
+
+    <!-- The data itself, like tallies,
+      goes from low energies (groups) to high energies
+    -->
+    <absorption>
+      5.1132E-04 7.5813E-05 3.1643E-04 1.1675E-03 3.3977E-03 9.1886E-03 2.3244E-02
+    </absorption>
+
+    <nu_fission>
+      1.323401E-08 1.434500E-08 1.128599E-06 1.276299E-05 3.538502E-07 1.740099E-06 5.063302E-06
+    </nu_fission>
+
+    <chi>
+      5.8791E-01 4.1176E-01 3.3906E-04 1.1761E-07 0.0000E+00 0.0000E+00 0.0000E+00
+    </chi>
+
+    <fission>
+      4.79002E-09 5.82564E-09 4.63719E-07 5.24406E-06 1.45390E-07 7.14972E-07 2.08041E-06
+    </fission>
+
+     <!-- units of MeV/cm -->
+    <k_fission>
+      1.0 1.0 1.0 1.0 1.0 1.0 1.0
+    </k_fission>
+
+    <!-- for consistency must include nu-scatter -->
+    <!-- will be a matrix of (order+1) x g_in x g_out -->
+    <scatter>
+      6.61659000E-02  5.90700000E-02  2.83340000E-04  1.46220000E-06  2.06420000E-08  0.00000000E00 0.00000000E00
+      0.00000000E00 2.40377000E-01  5.24350000E-02  2.49900000E-04  1.92390000E-05  2.98750000E-06  4.21400000E-07
+      0.00000000E00 0.00000000E00 1.83425000E-01  9.22880000E-02  6.93650000E-03  1.07900000E-03  2.05430000E-04
+      0.00000000E00 0.00000000E00 0.00000000E00 7.90769000E-02  1.69990000E-01  2.58600000E-02  4.92560000E-03
+      0.00000000E00 0.00000000E00 0.00000000E00 3.73400000E-05  9.97570000E-02  2.06790000E-01  2.44780000E-02
+      0.00000000E00 0.00000000E00 0.00000000E00 0.00000000E00 9.17420000E-04  3.16774000E-01  2.38760000E-01
+      0.00000000E00 0.00000000E00 0.00000000E00 0.00000000E00 0.00000000E00 4.97930000E-02  1.09910000E00
+    </scatter>
+
+    <total>
+      1.26032048E-01 2.93160367E-01 2.84250824E-01 2.81025244E-01 3.34460185E-01 5.65640735E-01 1.17213908E00
+    </total>
+
+  </xsdata>
+
+  <xsdata>
+    <!-- Meta data for this data -->
+    <name>GT.300K</name>
+    <alias>GT.300K</alias>
+    <kT> 2.53E-8 </kT> <!-- in MeV -->
+    <order>0</order>
+    <fissionable>false</fissionable>
+
+    <!-- The data itself, like tallies,
+      goes from low energies (groups) to high energies
+    -->
+    <absorption>
+      5.11320000E-04 7.58010000E-05 3.15720000E-04 1.15820000E-03 3.39750000E-03 9.18780000E-03 2.32420000E-02
+    </absorption>
+
+    <!-- for consistency must include nu-scatter -->
+    <!-- will be a matrix of (order+1) x g_in x g_out -->
+    <scatter>
+      6.61659000E-02  5.90700000E-02  2.83340000E-04  1.46220000E-06  2.06420000E-08  0.00000000E+00  0.00000000E+00
+      0.00000000E+00  2.40377000E-01  5.24350000E-02  2.49900000E-04  1.92390000E-05  2.98750000E-06  4.21400000E-07
+      0.00000000E+00  0.00000000E+00  1.83297000E-01  9.23970000E-02  6.94460000E-03  1.08030000E-03  2.05670000E-04
+      0.00000000E+00  0.00000000E+00  0.00000000E+00  7.88511000E-02  1.70140000E-01  2.58810000E-02  4.92970000E-03
+      0.00000000E+00  0.00000000E+00  0.00000000E+00  3.73330000E-05  9.97372000E-02  2.06790000E-01  2.44780000E-02
+      0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00  9.17260000E-04  3.16765000E-01  2.38770000E-01
+      0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00  4.97920000E-02  1.09912000E+00
+    </scatter>
+
+    <total>
+      1.26032043E-01 2.93160349E-01 2.84240290E-01 2.80960000E-01 3.34440033E-01 5.65640060E-01 1.17215400E+00
+    </total>
+  </xsdata>
+
+  <xsdata>
+    <!-- Meta data for this data -->
+    <name>LWTR.300K</name>
+    <alias>LWTR.300K</alias>
+    <kT> 2.53E-8 </kT> <!-- in MeV -->
+    <order>0</order>
+    <fissionable>false</fissionable>
+
+    <!-- The data itself, like tallies,
+      goes from low energies (groups) to high energies
+    -->
+    <absorption>
+      6.0105E-04 1.5793E-05 3.3716E-04 1.9406E-03 5.7416E-03 1.5001E-02 3.7239E-02
+    </absorption>
+
+    <!-- for consistency must include nu-scatter -->
+    <!-- will be a matrix of (order+1) x g_in x g_out -->
+    <scatter>
+      0.0444777 0.1134000 0.0007235 0.0000037 0.0000001 0.0000000 0.0000000
+      0.0000000 0.2823340 0.1299400 0.0006234 0.0000480 0.0000074 0.0000010
+      0.0000000 0.0000000 0.3452560 0.2245700 0.0169990 0.0026443 0.0005034
+      0.0000000 0.0000000 0.0000000 0.0910284 0.4155100 0.0637320 0.0121390
+      0.0000000 0.0000000 0.0000000 0.0000714 0.1391380 0.5118200 0.0612290
+      0.0000000 0.0000000 0.0000000 0.0000000 0.0022157 0.6999130 0.5373200
+      0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.1324400 2.4807000
+    </scatter>
+
+    <total>
+      0.15920605  0.41296959299999997 0.59030986  0.5843499999999999  0.7180000000000001  1.2544497000000001  2.650379
+    </total>
+
+  </xsdata>
+
+  <xsdata>
+    <!-- Meta data for this data -->
+    <name>CR.300K</name>
+    <alias>CR.300K</alias>
+    <kT> 2.53E-8 </kT> <!-- in MeV -->
+    <order>0</order>
+    <fissionable>false</fissionable>
+
+    <!-- The data itself, like tallies,
+      goes from low energies (groups) to high energies
+    -->
+    <absorption>
+      1.70490000E-03 8.36224000E-03 8.37901000E-02 3.97797000E-01 6.98763000E-01 9.29508000E-01 1.17836000E+00
+    </absorption>
+
+    <!-- for consistency must include nu-scatter -->
+    <!-- will be a matrix of (order+1) x g_in x g_out -->
+    <scatter>
+      1.70563000E-01  4.44012000E-02  9.83670000E-05  1.27786000E-07  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      0.00000000E+00  4.71050000E-01  6.85480000E-04  3.91395000E-10  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      0.00000000E+00  0.00000000E+00  8.01859000E-01  7.20132000E-04  0.00000000E+00  0.00000000E+00  0.00000000E+00
+      0.00000000E+00  0.00000000E+00  0.00000000E+00  5.70752000E-01  1.46015000E-03  0.00000000E+00  0.00000000E+00
+      0.00000000E+00  0.00000000E+00  0.00000000E+00  6.55562000E-05  2.07838000E-01  3.81486000E-03  3.69760000E-09
+      0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00  1.02427000E-03  2.02465000E-01  4.75290000E-03
+      0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00  3.53043000E-03  6.58597000E-01
+    </scatter>
+
+    <total>
+      2.16767595E-01 4.80097720E-01 8.86369232E-01 9.70009150E-01 9.10481420E-01 1.13775017E+00 1.84048743E+00
+    </total>
+  </xsdata>
+</library>
diff --git a/examples/xml/pincell_multigroup/plots.xml b/examples/xml/pincell_multigroup/plots.xml
new file mode 100644
index 0000000000..cbb8e532c1
--- /dev/null
+++ b/examples/xml/pincell_multigroup/plots.xml
@@ -0,0 +1,28 @@
+<?xml version="1.0"?>
+<plots>
+
+<plot>
+  <id>1</id>
+  <filename>mat</filename>
+  <color>material</color>
+  <origin>0 0 0</origin>
+  <width>1.26 1.26</width>
+  <type>slice</type>
+  <pixels>1000 1000 </pixels>
+  <col_spec id="1" rgb="255 0   0" />
+  <col_spec id="2" rgb="0   0   0" />
+  <col_spec id="3" rgb="0   255 0" />
+  <col_spec id="4" rgb="0   0   255" />
+</plot>
+
+<plot>
+  <id>2</id>
+  <filename>cell</filename>
+  <color>cell</color>
+  <origin>0 0 0</origin>
+  <width>1.26 1.26</width>
+  <type>slice</type>
+  <pixels>1000 1000 </pixels>
+</plot>
+
+</plots>
diff --git a/examples/xml/pincell_multigroup/settings.xml b/examples/xml/pincell_multigroup/settings.xml
new file mode 100644
index 0000000000..dfd2fac813
--- /dev/null
+++ b/examples/xml/pincell_multigroup/settings.xml
@@ -0,0 +1,40 @@
+<?xml version="1.0"?>
+<settings>
+
+  <energy_mode>multi-group</energy_mode>
+
+  <!--
+    Define how many particles to run and for how many batches
+    in an eigenvalue calculation mode
+  -->
+  <eigenvalue>
+    <batches>100</batches>
+    <inactive>10</inactive>
+    <particles>1000</particles>
+  </eigenvalue>
+
+  <!--
+    Start with uniformally distributed neutron source
+    with the default energy spectrum of a Maxwellian
+    and isotropic distribution.
+  -->
+  <source>
+    <space type="box">
+      <parameters>
+        -0.63 -0.63 -1E50
+         0.63  0.63  1E50
+      </parameters>
+    </space>
+  </source>
+
+  <output>
+    <cross_sections>true</cross_sections>
+    <summary>true</summary>
+    <tallies>true</tallies>
+  </output>
+
+  <survival_biasing>false</survival_biasing>
+
+  <cross_sections>./mg_cross_sections.xml</cross_sections>
+
+</settings>
diff --git a/examples/xml/pincell_multigroup/tallies.xml b/examples/xml/pincell_multigroup/tallies.xml
new file mode 100644
index 0000000000..df65b461db
--- /dev/null
+++ b/examples/xml/pincell_multigroup/tallies.xml
@@ -0,0 +1,13 @@
+<?xml version="1.0"?>
+<tallies>
+    <mesh id="1" type="regular">
+        <dimension>100 100 1</dimension>
+        <lower_left>-0.63 -0.63 -1e+50</lower_left>
+        <upper_right>0.63 0.63 1e+50</upper_right>
+    </mesh>
+    <tally id="1" name="tally 1">
+        <filter bins="1e-11 6.35e-08 1e-05 0.0001 0.001 0.5 1.0 20.0" type="energy" />
+        <filter bins="1" type="mesh" />
+        <scores>flux fission nu-fission</scores>
+    </tally>
+</tallies>
diff --git a/man/man1/openmc.1 b/man/man1/openmc.1
index 102adfbdc3..e69360a7c1 100644
--- a/man/man1/openmc.1
+++ b/man/man1/openmc.1
@@ -46,7 +46,7 @@ to locate ACE format cross section libraries if the user has not specified the
 <cross_sections> tag in
 .I settings.xml\fP.
 .SH LICENSE
-Copyright \(co 2011-2015 Massachusetts Institute of Technology.
+Copyright \(co 2011-2016 Massachusetts Institute of Technology.
 .PP
 Permission is hereby granted, free of charge, to any person obtaining a copy of
 this software and associated documentation files (the "Software"), to deal in
diff --git a/openmc/__init__.py b/openmc/__init__.py
index 397d9f3e27..0bde0f5843 100644
--- a/openmc/__init__.py
+++ b/openmc/__init__.py
@@ -1,11 +1,15 @@
+from openmc.cell import *
+from openmc.lattice import *
 from openmc.element import *
 from openmc.geometry import *
 from openmc.nuclide import *
+from openmc.macroscopic import *
 from openmc.material import *
 from openmc.plots import *
 from openmc.settings import *
 from openmc.surface import *
 from openmc.universe import *
+from openmc.mgxs_library import *
 from openmc.mesh import *
 from openmc.filter import *
 from openmc.trigger import *
@@ -14,6 +18,9 @@ from openmc.cmfd import *
 from openmc.executor import *
 from openmc.statepoint import *
 from openmc.summary import *
+from openmc.region import *
+from openmc.source import *
+from openmc.particle_restart import *
 
 try:
     from openmc.opencg_compatible import *
diff --git a/openmc/arithmetic.py b/openmc/arithmetic.py
new file mode 100644
index 0000000000..74ed760c7a
--- /dev/null
+++ b/openmc/arithmetic.py
@@ -0,0 +1,868 @@
+import sys
+import copy
+from collections import Iterable
+
+import numpy as np
+
+from openmc import Filter, Nuclide
+from openmc.filter import _FILTER_TYPES
+import openmc.checkvalue as cv
+
+if sys.version_info[0] >= 3:
+    basestring = str
+
+# Acceptable tally arithmetic binary operations
+_TALLY_ARITHMETIC_OPS = ['+', '-', '*', '/', '^']
+
+# Acceptable tally aggregation operations
+_TALLY_AGGREGATE_OPS = ['sum', 'avg']
+
+
+class CrossScore(object):
+    """A special-purpose tally score used to encapsulate all combinations of two
+    tally's scores as an outer product for tally arithmetic.
+
+    Parameters
+    ----------
+    left_score : str or CrossScore
+        The left score in the outer product
+    right_score : str or CrossScore
+        The right score in the outer product
+    binary_op : str
+        The tally arithmetic binary operator (e.g., '+', '-', etc.) used to
+        combine two tally's scores with this CrossNuclide
+
+    Attributes
+    ----------
+    left_score : str or CrossScore
+        The left score in the outer product
+    right_score : str or CrossScore
+        The right score in the outer product
+    binary_op : str
+        The tally arithmetic binary operator (e.g., '+', '-', etc.) used to
+        combine two tally's scores with this CrossScore
+
+    """
+
+    def __init__(self, left_score=None, right_score=None, binary_op=None):
+
+        self._left_score = None
+        self._right_score = None
+        self._binary_op = None
+
+        if left_score is not None:
+            self.left_score = left_score
+        if right_score is not None:
+            self.right_score = right_score
+        if binary_op is not None:
+            self.binary_op = binary_op
+
+    def __hash__(self):
+        return hash(repr(self))
+
+    def __eq__(self, other):
+        return str(other) == str(self)
+
+    def __ne__(self, other):
+        return not self == other
+
+    def __repr__(self):
+        string = '({0} {1} {2})'.format(self.left_score,
+                                        self.binary_op, self.right_score)
+        return string
+
+    @property
+    def left_score(self):
+        return self._left_score
+
+    @property
+    def right_score(self):
+        return self._right_score
+
+    @property
+    def binary_op(self):
+        return self._binary_op
+
+    @left_score.setter
+    def left_score(self, left_score):
+        cv.check_type('left_score', left_score,
+                      (basestring, CrossScore, AggregateScore))
+        self._left_score = left_score
+
+    @right_score.setter
+    def right_score(self, right_score):
+        cv.check_type('right_score', right_score,
+                      (basestring, CrossScore, AggregateScore))
+        self._right_score = right_score
+
+    @binary_op.setter
+    def binary_op(self, binary_op):
+        cv.check_type('binary_op', binary_op, basestring)
+        cv.check_value('binary_op', binary_op, _TALLY_ARITHMETIC_OPS)
+        self._binary_op = binary_op
+
+
+class CrossNuclide(object):
+    """A special-purpose nuclide used to encapsulate all combinations of two
+    tally's nuclides as an outer product for tally arithmetic.
+
+    Parameters
+    ----------
+    left_nuclide : Nuclide or CrossNuclide
+        The left nuclide in the outer product
+    right_nuclide : Nuclide or CrossNuclide
+        The right nuclide in the outer product
+    binary_op : str
+        The tally arithmetic binary operator (e.g., '+', '-', etc.) used to
+        combine two tally's nuclides with this CrossNuclide
+
+    Attributes
+    ----------
+    left_nuclide : Nuclide or CrossNuclide
+        The left nuclide in the outer product
+    right_nuclide : Nuclide or CrossNuclide
+        The right nuclide in the outer product
+    binary_op : str
+        The tally arithmetic binary operator (e.g., '+', '-', etc.) used to
+        combine two tally's nuclides with this CrossNuclide
+
+    """
+
+    def __init__(self, left_nuclide=None, right_nuclide=None, binary_op=None):
+
+        self._left_nuclide = None
+        self._right_nuclide = None
+        self._binary_op = None
+
+        if left_nuclide is not None:
+            self.left_nuclide = left_nuclide
+        if right_nuclide is not None:
+            self.right_nuclide = right_nuclide
+        if binary_op is not None:
+            self.binary_op = binary_op
+
+    def __hash__(self):
+        return hash(repr(self))
+
+    def __eq__(self, other):
+        return str(other) == str(self)
+
+    def __ne__(self, other):
+        return not self == other
+
+    def __repr__(self):
+        return self.name
+
+    @property
+    def left_nuclide(self):
+        return self._left_nuclide
+
+    @property
+    def right_nuclide(self):
+        return self._right_nuclide
+
+    @property
+    def binary_op(self):
+        return self._binary_op
+
+    @property
+    def name(self):
+
+        string = ''
+
+        # If the Summary was linked, the left nuclide is a Nuclide object
+        if isinstance(self.left_nuclide, Nuclide):
+            string += '(' + self.left_nuclide.name
+        # If the Summary was not linked, the left nuclide is the ZAID
+        else:
+            string += '(' + str(self.left_nuclide)
+
+        string += ' ' + self.binary_op + ' '
+
+        # If the Summary was linked, the right nuclide is a Nuclide object
+        if isinstance(self.right_nuclide, Nuclide):
+            string += self.right_nuclide.name + ')'
+        # If the Summary was not linked, the right nuclide is the ZAID
+        else:
+            string += str(self.right_nuclide) + ')'
+
+        return string
+
+    @left_nuclide.setter
+    def left_nuclide(self, left_nuclide):
+        cv.check_type('left_nuclide', left_nuclide,
+                      (Nuclide, CrossNuclide, AggregateNuclide))
+        self._left_nuclide = left_nuclide
+
+    @right_nuclide.setter
+    def right_nuclide(self, right_nuclide):
+        cv.check_type('right_nuclide', right_nuclide,
+                      (Nuclide, CrossNuclide, AggregateNuclide))
+        self._right_nuclide = right_nuclide
+
+    @binary_op.setter
+    def binary_op(self, binary_op):
+        cv.check_type('binary_op', binary_op, basestring)
+        cv.check_value('binary_op', binary_op, _TALLY_ARITHMETIC_OPS)
+        self._binary_op = binary_op
+
+
+class CrossFilter(object):
+    """A special-purpose filter used to encapsulate all combinations of two
+    tally's filter bins as an outer product for tally arithmetic.
+
+    Parameters
+    ----------
+    left_filter : Filter or CrossFilter
+        The left filter in the outer product
+    right_filter : Filter or CrossFilter
+        The right filter in the outer product
+    binary_op : str
+        The tally arithmetic binary operator (e.g., '+', '-', etc.) used to
+        combine two tally's filter bins with this CrossFilter
+
+    Attributes
+    ----------
+    type : str
+        The type of the crossfilter (e.g., 'energy / energy')
+    left_filter : Filter or CrossFilter
+        The left filter in the outer product
+    right_filter : Filter or CrossFilter
+        The right filter in the outer product
+    binary_op : str
+        The tally arithmetic binary operator (e.g., '+', '-', etc.) used to
+        combine two tally's filter bins with this CrossFilter
+    bins : dict of Iterable
+        A dictionary of the bins from each filter keyed by the types of the
+        left / right filters
+    num_bins : Integral
+        The number of filter bins (always 1 if aggregate_filter is defined)
+    stride : Integral
+        The number of filter, nuclide and score bins within each of this
+        crossfilter's bins.
+
+    """
+
+    def __init__(self, left_filter=None, right_filter=None, binary_op=None):
+
+        left_type = left_filter.type
+        right_type = right_filter.type
+        self._type = '({0} {1} {2})'.format(left_type, binary_op, right_type)
+
+        self._bins = {}
+        self._stride = None
+
+        self._left_filter = None
+        self._right_filter = None
+        self._binary_op = None
+
+        if left_filter is not None:
+            self.left_filter = left_filter
+            self._bins['left'] = left_filter.bins
+        if right_filter is not None:
+            self.right_filter = right_filter
+            self._bins['right'] = right_filter.bins
+        if binary_op is not None:
+            self.binary_op = binary_op
+
+    def __hash__(self):
+        return hash((self.left_filter, self.right_filter))
+
+    def __eq__(self, other):
+        return str(other) == str(self)
+
+    def __ne__(self, other):
+        return not self == other
+
+    def __repr__(self):
+
+        string = 'CrossFilter\n'
+        filter_type = '({0} {1} {2})'.format(self.left_filter.type,
+                                             self.binary_op,
+                                             self.right_filter.type)
+        filter_bins = '({0} {1} {2})'.format(self.left_filter.bins,
+                                             self.binary_op,
+                                             self.right_filter.bins)
+        string += '{0: <16}{1}{2}\n'.format('\tType', '=\t', filter_type)
+        string += '{0: <16}{1}{2}\n'.format('\tBins', '=\t', filter_bins)
+        return string
+
+    @property
+    def left_filter(self):
+        return self._left_filter
+
+    @property
+    def right_filter(self):
+        return self._right_filter
+
+    @property
+    def binary_op(self):
+        return self._binary_op
+
+    @property
+    def type(self):
+        return self._type
+
+    @property
+    def bins(self):
+        return self._bins['left'], self._bins['right']
+
+    @property
+    def num_bins(self):
+        if self.left_filter is not None and self.right_filter is not None:
+            return self.left_filter.num_bins * self.right_filter.num_bins
+        else:
+            return 0
+
+    @property
+    def stride(self):
+        return self._stride
+
+    @type.setter
+    def type(self, filter_type):
+        if filter_type not in _FILTER_TYPES:
+            msg = 'Unable to set CrossFilter type to "{0}" since it ' \
+                  'is not one of the supported types'.format(filter_type)
+            raise ValueError(msg)
+
+        self._type = filter_type
+
+    @left_filter.setter
+    def left_filter(self, left_filter):
+        cv.check_type('left_filter', left_filter,
+                      (Filter, CrossFilter, AggregateFilter))
+        self._left_filter = left_filter
+        self._bins['left'] = left_filter.bins
+
+    @right_filter.setter
+    def right_filter(self, right_filter):
+        cv.check_type('right_filter', right_filter,
+                      (Filter, CrossFilter, AggregateFilter))
+        self._right_filter = right_filter
+        self._bins['right'] = right_filter.bins
+
+    @binary_op.setter
+    def binary_op(self, binary_op):
+        cv.check_type('binary_op', binary_op, basestring)
+        cv.check_value('binary_op', binary_op, _TALLY_ARITHMETIC_OPS)
+        self._binary_op = binary_op
+
+    @stride.setter
+    def stride(self, stride):
+        self._stride = stride
+
+    def get_bin_index(self, filter_bin):
+        """Returns the index in the CrossFilter for some bin.
+
+        Parameters
+        ----------
+        filter_bin : 2-tuple
+            A 2-tuple where each value corresponds to the bin of interest
+            in the left and right filter, respectively. A bin is the integer
+            ID for 'material', 'surface', 'cell', 'cellborn', and 'universe'
+            Filters. The bin is an integer for the cell instance ID for
+            'distribcell' Filters. The bin is a 2-tuple of floats for 'energy'
+            and 'energyout' filters corresponding to the energy boundaries of
+            the bin of interest.  The bin is a (x,y,z) 3-tuple for 'mesh'
+            filters corresponding to the mesh cell of interest.
+
+        Returns
+        -------
+        filter_index : Integral
+             The index in the Tally data array for this filter bin.
+
+        """
+
+        left_index = self.left_filter.get_bin_index(filter_bin[0])
+        right_index = self.right_filter.get_bin_index(filter_bin[0])
+        filter_index = left_index * self.right_filter.num_bins + right_index
+        return filter_index
+
+    def get_pandas_dataframe(self, data_size, summary=None):
+        """Builds a Pandas DataFrame for the CrossFilter's bins.
+
+        This method constructs a Pandas DataFrame object for the CrossFilter
+        with columns annotated by filter bin information. This is a helper
+        method for the Tally.get_pandas_dataframe(...) method. This method
+        recursively builds and concatenates Pandas DataFrames for the left
+        and right filters and crossfilters.
+
+        This capability has been tested for Pandas >=0.13.1. However, it is
+        recommended to use v0.16 or newer versions of Pandas since this method
+        uses Pandas' Multi-index functionality.
+
+        Parameters
+        ----------
+        data_size : Integral
+            The total number of bins in the tally corresponding to this filter
+        summary : None or Summary
+            An optional Summary object to be used to construct columns for
+            distribcell tally filters (default is None). The geometric
+            information in the Summary object is embedded into a Multi-index
+            column with a geometric "path" to each distribcell instance.
+            NOTE: This option requires the OpenCG Python package.
+
+        Returns
+        -------
+        pandas.DataFrame
+            A Pandas DataFrame with columns of strings that characterize the
+            crossfilter's bins. Each entry in the DataFrame will include one
+            or more binary operations used to construct the crossfilter's bins.
+            The number of rows in the DataFrame is the same as the total number
+            of bins in the corresponding tally, with the filter bins
+            appropriately tiled to map to the corresponding tally bins.
+
+        See also
+        --------
+        Tally.get_pandas_dataframe(), Filter.get_pandas_dataframe()
+
+        """
+
+        # If left and right filters are identical, do not combine bins
+        if self.left_filter == self.right_filter:
+            df = self.left_filter.get_pandas_dataframe(data_size, summary)
+
+        # If left and right filters are different, combine their bins
+        else:
+            left_df = self.left_filter.get_pandas_dataframe(data_size, summary)
+            right_df = self.right_filter.get_pandas_dataframe(data_size, summary)
+            left_df = left_df.astype(str)
+            right_df = right_df.astype(str)
+            df = '(' + left_df + ' ' + self.binary_op + ' ' + right_df + ')'
+
+        return df
+
+class AggregateScore(object):
+    """A special-purpose tally score used to encapsulate an aggregate of a
+    subset or all of tally's scores for tally aggregation.
+
+    Parameters
+    ----------
+    scores : Iterable of str or CrossScore
+        The scores included in the aggregation
+    aggregate_op : str
+        The tally aggregation operator (e.g., 'sum', 'avg', etc.) used
+        to aggregate across a tally's scores with this AggregateScore
+
+    Attributes
+    ----------
+    scores : Iterable of str or CrossScore
+        The scores included in the aggregation
+    aggregate_op : str
+        The tally aggregation operator (e.g., 'sum', 'avg', etc.) used
+        to aggregate across a tally's scores with this AggregateScore
+
+    """
+
+    def __init__(self, scores=None, aggregate_op=None):
+
+        self._scores = None
+        self._aggregate_op = None
+
+        if scores is not None:
+            self.scores = scores
+        if aggregate_op is not None:
+            self.aggregate_op = aggregate_op
+
+    def __hash__(self):
+        return hash(repr(self))
+
+    def __eq__(self, other):
+        return str(other) == str(self)
+
+    def __ne__(self, other):
+        return not self == other
+
+    def __repr__(self):
+        string = ', '.join(map(str, self.scores))
+        string = '{0}({1})'.format(self.aggregate_op, string)
+        return string
+
+    @property
+    def scores(self):
+        return self._scores
+
+    @property
+    def aggregate_op(self):
+        return self._aggregate_op
+
+    @property
+    def name(self):
+
+        # Append each score in the aggregate to the string
+        string = '(' + ', '.join(self.scores) + ')'
+        return string
+
+    @scores.setter
+    def scores(self, scores):
+        cv.check_iterable_type('scores', scores, basestring)
+        self._scores = scores
+
+    @aggregate_op.setter
+    def aggregate_op(self, aggregate_op):
+        cv.check_type('aggregate_op', aggregate_op, (basestring, CrossScore))
+        cv.check_value('aggregate_op', aggregate_op, _TALLY_AGGREGATE_OPS)
+        self._aggregate_op = aggregate_op
+
+
+class AggregateNuclide(object):
+    """A special-purpose tally nuclide used to encapsulate an aggregate of a
+    subset or all of tally's nuclides for tally aggregation.
+
+    Parameters
+    ----------
+    nuclides : Iterable of str or Nuclide or CrossNuclide
+        The nuclides included in the aggregation
+    aggregate_op : str
+        The tally aggregation operator (e.g., 'sum', 'avg', etc.) used
+        to aggregate across a tally's nuclides with this AggregateNuclide
+
+    Attributes
+    ----------
+    nuclides : Iterable of str or Nuclide or CrossNuclide
+        The nuclides included in the aggregation
+    aggregate_op : str
+        The tally aggregation operator (e.g., 'sum', 'avg', etc.) used
+        to aggregate across a tally's nuclides with this AggregateNuclide
+
+    """
+
+    def __init__(self, nuclides=None, aggregate_op=None):
+
+        self._nuclides = None
+        self._aggregate_op = None
+
+        if nuclides is not None:
+            self.nuclides = nuclides
+        if aggregate_op is not None:
+            self.aggregate_op = aggregate_op
+
+    def __hash__(self):
+        return hash(repr(self))
+
+    def __eq__(self, other):
+        return str(other) == str(self)
+
+    def __ne__(self, other):
+        return not self == other
+
+    def __repr__(self):
+
+        # Append each nuclide in the aggregate to the string
+        string = '{0}('.format(self.aggregate_op)
+        names = [nuclide.name if isinstance(nuclide, Nuclide) else str(nuclide)
+                 for nuclide in self.nuclides]
+        string += ', '.join(map(str, names)) + ')'
+        return string
+
+    @property
+    def nuclides(self):
+        return self._nuclides
+
+    @property
+    def aggregate_op(self):
+        return self._aggregate_op
+
+    @property
+    def name(self):
+
+        # Append each nuclide in the aggregate to the string
+        names = [nuclide.name if isinstance(nuclide, Nuclide) else str(nuclide)
+                 for nuclide in self.nuclides]
+        string = '(' + ', '.join(map(str, names)) + ')'
+        return string
+
+    @nuclides.setter
+    def nuclides(self, nuclides):
+        cv.check_iterable_type('nuclides', nuclides,
+                               (basestring, Nuclide, CrossNuclide))
+        self._nuclides = nuclides
+
+    @aggregate_op.setter
+    def aggregate_op(self, aggregate_op):
+        cv.check_type('aggregate_op', aggregate_op, basestring)
+        cv.check_value('aggregate_op', aggregate_op, _TALLY_AGGREGATE_OPS)
+        self._aggregate_op = aggregate_op
+
+
+class AggregateFilter(object):
+    """A special-purpose tally filter used to encapsulate an aggregate of a
+    subset or all of a tally filter's bins for tally aggregation.
+
+    Parameters
+    ----------
+    aggregate_filter : Filter or CrossFilter
+        The filter included in the aggregation
+    bins : Iterable of tuple
+        The filter bins included in the aggregation
+    aggregate_op : str
+        The tally aggregation operator (e.g., 'sum', 'avg', etc.) used
+        to aggregate across a tally filter's bins with this AggregateFilter
+
+    Attributes
+    ----------
+    type : str
+        The type of the aggregatefilter (e.g., 'sum(energy)', 'sum(cell)')
+    aggregate_filter : filter
+        The filter included in the aggregation
+    aggregate_op : str
+        The tally aggregation operator (e.g., 'sum', 'avg', etc.) used
+        to aggregate across a tally filter's bins with this AggregateFilter
+    bins : Iterable of tuple
+        The filter bins included in the aggregation
+    num_bins : Integral
+        The number of filter bins (always 1 if aggregate_filter is defined)
+    stride : Integral
+        The number of filter, nuclide and score bins within each of this
+        aggregatefilter's bins.
+
+    """
+
+    def __init__(self, aggregate_filter=None, bins=None, aggregate_op=None):
+
+        self._type = '{0}({1})'.format(aggregate_op, aggregate_filter.type)
+        self._bins = None
+        self._stride = None
+
+        self._aggregate_filter = None
+        self._aggregate_op = None
+
+        if aggregate_filter is not None:
+            self.aggregate_filter = aggregate_filter
+        if bins is not None:
+            self.bins = bins
+        if aggregate_op is not None:
+            self.aggregate_op = aggregate_op
+
+    def __hash__(self):
+        return hash(repr(self))
+
+    def __eq__(self, other):
+        return str(other) == str(self)
+
+    def __ne__(self, other):
+        return not self == other
+
+    def __gt__(self, other):
+        if self.type != other.type:
+            if self.aggregate_filter.type in _FILTER_TYPES and \
+              other.aggregate_filter.type in _FILTER_TYPES:
+                delta = _FILTER_TYPES.index(self.aggregate_filter.type) - \
+                        _FILTER_TYPES.index(other.aggregate_filter.type)
+                return delta > 0
+            else:
+                return False
+        else:
+            return False
+
+    def __lt__(self, other):
+        return not self > other
+
+    def __repr__(self):
+        string = 'AggregateFilter\n'
+        string += '{0: <16}{1}{2}\n'.format('\tType', '=\t', self.type)
+        string += '{0: <16}{1}{2}\n'.format('\tBins', '=\t', self.bins)
+        return string
+
+    @property
+    def aggregate_filter(self):
+        return self._aggregate_filter
+
+    @property
+    def aggregate_op(self):
+        return self._aggregate_op
+
+    @property
+    def type(self):
+        return self._type
+
+    @property
+    def bins(self):
+        return self._bins
+
+    @property
+    def num_bins(self):
+        return len(self.bins) if self.aggregate_filter else 0
+
+    @property
+    def stride(self):
+        return self._stride
+
+    @type.setter
+    def type(self, filter_type):
+        if filter_type not in _FILTER_TYPES:
+            msg = 'Unable to set AggregateFilter type to "{0}" since it ' \
+                  'is not one of the supported types'.format(filter_type)
+            raise ValueError(msg)
+
+        self._type = filter_type
+
+    @aggregate_filter.setter
+    def aggregate_filter(self, aggregate_filter):
+        cv.check_type('aggregate_filter', aggregate_filter, (Filter, CrossFilter))
+        self._aggregate_filter = aggregate_filter
+
+    @bins.setter
+    def bins(self, bins):
+        cv.check_iterable_type('bins', bins, Iterable)
+        self._bins = list(map(tuple, bins))
+
+    @aggregate_op.setter
+    def aggregate_op(self, aggregate_op):
+        cv.check_type('aggregate_op', aggregate_op, basestring)
+        cv.check_value('aggregate_op', aggregate_op, _TALLY_AGGREGATE_OPS)
+        self._aggregate_op = aggregate_op
+
+    @stride.setter
+    def stride(self, stride):
+        self._stride = stride
+
+    def get_bin_index(self, filter_bin):
+        """Returns the index in the AggregateFilter for some bin.
+
+        Parameters
+        ----------
+        filter_bin : Integral or tuple of Real
+            A tuple of value(s) corresponding to the bin of interest in
+            the aggregated filter. The bin is the integer ID for 'material',
+            'surface', 'cell', 'cellborn', and 'universe' Filters. The bin
+            is the integer cell instance ID for 'distribcell' Filters. The
+            bin is a 2-tuple of floats for 'energy' and 'energyout' filters
+            corresponding to the energy boundaries of the bin of interest.
+            The bin is a (x,y,z) 3-tuple for 'mesh' filters corresponding to
+            the mesh cell of interest.
+
+        Returns
+        -------
+        filter_index : Integral
+             The index in the Tally data array for this filter bin. For an
+             AggregateTally the filter bin index is always unity.
+
+        Raises
+        ------
+        ValueError
+            When the filter_bin is not part of the aggregated filter's bins
+
+        """
+
+        if filter_bin not in self.bins:
+            msg = 'Unable to get the bin index for AggregateFilter since ' \
+                  '"{0}" is not one of the bins'.format(filter_bin)
+            raise ValueError(msg)
+        else:
+            return self.bins.index(filter_bin)
+
+    def get_pandas_dataframe(self, data_size, summary=None):
+        """Builds a Pandas DataFrame for the AggregateFilter's bins.
+
+        This method constructs a Pandas DataFrame object for the AggregateFilter
+        with columns annotated by filter bin information. This is a helper
+        method for the Tally.get_pandas_dataframe(...) method.
+
+        Parameters
+        ----------
+        data_size : Integral
+            The total number of bins in the tally corresponding to this filter
+        summary : None or Summary
+            An optional Summary object to be used to construct columns for
+            distribcell tally filters (default is None). NOTE: This parameter
+            is not used by the AggregateFilter and simply mirrors the method
+            signature for the CrossFilter.
+
+        Returns
+        -------
+        pandas.DataFrame
+            A Pandas DataFrame with columns of strings that characterize the
+            aggregatefilter's bins. Each entry in the DataFrame will include
+            one or more aggregation operations used to construct the
+            aggregatefilter's bins. The number of rows in the DataFrame is the
+            same as the total number of bins in the corresponding tally, with
+            the filter bins appropriately tiled to map to the corresponding
+            tally bins.
+
+        See also
+        --------
+        Tally.get_pandas_dataframe(), Filter.get_pandas_dataframe(),
+        CrossFilter.get_pandas_dataframe()
+
+        """
+
+        import pandas as pd
+
+        # Create NumPy array of the bin tuples for repeating / tiling
+        filter_bins = np.empty(self.num_bins, dtype=tuple)
+        for i, bin in enumerate(self.bins):
+            filter_bins[i] = bin
+
+        # Repeat and tile bins as needed for DataFrame
+        filter_bins = np.repeat(filter_bins, self.stride)
+        tile_factor = data_size / len(filter_bins)
+        filter_bins = np.tile(filter_bins, tile_factor)
+
+        # Create DataFrame with aggregated bins
+        df = pd.DataFrame({self.type: filter_bins})
+        return df
+
+    def can_merge(self, other):
+        """Determine if AggregateFilter can be merged with another.
+
+        Parameters
+        ----------
+        other : AggregateFilter
+            Filter to compare with
+
+        Returns
+        -------
+        bool
+            Whether the filter can be merged
+
+        """
+
+        if not isinstance(other, AggregateFilter):
+            return False
+
+        # Filters must be of the same type
+        elif self.type != other.type:
+            return False
+
+        # None of the bins in this filter should match in the other filter
+        for bin in self.bins:
+            if bin in other.bins:
+                return False
+
+        # If all conditional checks passed then filters are mergeable
+        return True
+
+    def merge(self, other):
+        """Merge this aggregatefilter with another.
+
+        Parameters
+        ----------
+        other : AggregateFilter
+            Filter to merge with
+
+        Returns
+        -------
+        merged_filter : AggregateFilter
+            Filter resulting from the merge
+
+        """
+
+        if not self.can_merge(other):
+            msg = 'Unable to merge "{0}" with "{1}" ' \
+                  'filters'.format(self.type, other.type)
+            raise ValueError(msg)
+
+        # Create deep copy of filter to return as merged filter
+        merged_filter = copy.deepcopy(self)
+
+        # Merge unique filter bins
+        merged_bins = self.bins + other.bins
+
+        # Sort energy bin edges
+        if 'energy' in self.type:
+            merged_bins = sorted(merged_bins)
+
+        # Assign merged bins to merged filter
+        merged_filter.bins = list(merged_bins)
+        return merged_filter
diff --git a/openmc/cell.py b/openmc/cell.py
new file mode 100644
index 0000000000..9055f10e59
--- /dev/null
+++ b/openmc/cell.py
@@ -0,0 +1,511 @@
+from collections import OrderedDict, Iterable
+from math import cos, sin, pi
+from numbers import Real, Integral
+from xml.etree import ElementTree as ET
+import sys
+import warnings
+
+import numpy as np
+
+import openmc
+import openmc.checkvalue as cv
+from openmc.surface import Halfspace
+from openmc.region import Region, Intersection, Complement
+
+if sys.version_info[0] >= 3:
+    basestring = str
+
+
+# A static variable for auto-generated Cell IDs
+AUTO_CELL_ID = 10000
+
+
+def reset_auto_cell_id():
+    """Reset counter for auto-generated cell IDs."""
+    global AUTO_CELL_ID
+    AUTO_CELL_ID = 10000
+
+
+class Cell(object):
+    r"""A region of space defined as the intersection of half-space created by
+    quadric surfaces.
+
+    Parameters
+    ----------
+    cell_id : int, optional
+        Unique identifier for the cell. If not specified, an identifier will
+        automatically be assigned.
+    name : str, optional
+        Name of the cell. If not specified, the name is the empty string.
+    fill : openmc.Material or openmc.Universe or openmc.Lattice or None or iterable of openmc.Material, optional
+        Indicates what the region of space is filled with
+    region : openmc.Region, optional
+        Region of space that is assigned to the cell.
+
+    Attributes
+    ----------
+    id : int
+        Unique identifier for the cell
+    name : str
+        Name of the cell
+    fill : openmc.Material or openmc.Universe or openmc.Lattice or None or iterable of openmc.Material
+        Indicates what the region of space is filled with. If None, the cell is
+        treated as a void. An iterable of materials is used to fill repeated
+        instances of a cell with different materials.
+    fill_type : {'material', 'universe', 'lattice', 'distribmat', 'void'}
+        Indicates what the cell is filled with.
+    region : openmc.Region or None
+        Region of space that is assigned to the cell.
+    rotation : Iterable of float
+        If the cell is filled with a universe, this array specifies the angles
+        in degrees about the x, y, and z axes that the filled universe should be
+        rotated. The rotation applied is an intrinsic rotation with specified
+        Tait-Bryan angles. That is to say, if the angles are :math:`(\phi,
+        \theta, \psi)`, then the rotation matrix applied is :math:`R_z(\psi)
+        R_y(\theta) R_x(\phi)` or
+
+        .. math::
+
+           \left [ \begin{array}{ccc} \cos\theta \cos\psi & -\cos\theta \sin\psi
+           + \sin\phi \sin\theta \cos\psi & \sin\phi \sin\psi + \cos\phi
+           \sin\theta \cos\psi \\ \cos\theta \sin\psi & \cos\phi \cos\psi +
+           \sin\phi \sin\theta \sin\psi & -\sin\phi \cos\psi + \cos\phi
+           \sin\theta \sin\psi \\ -\sin\theta & \sin\phi \cos\theta & \cos\phi
+           \cos\theta \end{array} \right ]
+    rotation_matrix : numpy.ndarray
+        The rotation matrix defined by the angles specified in the
+        :attr:`Cell.rotation` property.
+    temperature : float or iterable of float
+        Temperature of the cell in Kelvin.  Multiple temperatures can be given
+        to give each distributed cell instance a unique temperature.
+    translation : Iterable of float
+        If the cell is filled with a universe, this array specifies a vector
+        that is used to translate (shift) the universe.
+    offsets : ndarray
+        Array of offsets used for distributed cell searches
+    distribcell_index : int
+        Index of this cell in distribcell arrays
+
+    """
+
+    def __init__(self, cell_id=None, name='', fill=None, region=None):
+        # Initialize Cell class attributes
+        self.id = cell_id
+        self.name = name
+        self.fill = fill
+        self.region = region
+        self._rotation = None
+        self._rotation_matrix = None
+        self._temperature = None
+        self._translation = None
+        self._offsets = None
+        self._distribcell_index = None
+
+    def __contains__(self, point):
+        if self.region is None:
+            return True
+        else:
+            return point in self.region
+
+    def __eq__(self, other):
+        if not isinstance(other, Cell):
+            return False
+        elif self.id != other.id:
+            return False
+        elif self.name != other.name:
+            return False
+        elif self.fill != other.fill:
+            return False
+        elif self.region != other.region:
+            return False
+        elif self.rotation != other.rotation:
+            return False
+        elif self.temperature != other.temperature:
+            return False
+        elif self.translation != other.translation:
+            return False
+        else:
+            return True
+
+    def __ne__(self, other):
+        return not self == other
+
+    def __hash__(self):
+        return hash(repr(self))
+
+    def __repr__(self):
+        string = 'Cell\n'
+        string += '{: <16}=\t{}\n'.format('\tID', self.id)
+        string += '{: <16}=\t{}\n'.format('\tName', self.name)
+
+        if self.fill_type == 'material':
+            string += '{: <16}=\tMaterial {}\n'.format('\tFill', self.fill.id)
+        elif self.fill_type == 'void':
+            string += '{: <16}=\tNone\n'.format('\tFill')
+        elif self.fill_type == 'distribmat':
+            string += '{: <16}=\t{}\n'.format('\tFill', list(map(
+                lambda m: m if m is None else m.id, self.fill)))
+        else:
+            string += '{: <16}=\t{}\n'.format('\tFill', self.fill.id)
+
+        string += '{: <16}=\t{}\n'.format('\tRegion', self.region)
+        string += '{: <16}=\t{}\n'.format('\tRotation', self.rotation)
+        if self.fill_type == 'material':
+            string += '\t{0: <15}=\t{1}\n'.format('Temperature',
+                                                  self.temperature)
+        string += '{: <16}=\t{}\n'.format('\tTranslation', self.translation)
+        string += '{: <16}=\t{}\n'.format('\tOffset', self.offsets)
+        string += '{: <16}=\t{}\n'.format('\tDistribcell index', self.distribcell_index)
+
+        return string
+
+    @property
+    def id(self):
+        return self._id
+
+    @property
+    def name(self):
+        return self._name
+
+    @property
+    def fill(self):
+        return self._fill
+
+    @property
+    def fill_type(self):
+        if isinstance(self.fill, openmc.Material):
+            return 'material'
+        elif isinstance(self.fill, openmc.Universe):
+            return 'universe'
+        elif isinstance(self.fill, openmc.Lattice):
+            return 'lattice'
+        elif isinstance(self.fill, Iterable):
+            return 'distribmat'
+        else:
+            return 'void'
+
+    @property
+    def region(self):
+        return self._region
+
+    @property
+    def rotation(self):
+        return self._rotation
+
+    @property
+    def rotation_matrix(self):
+        return self._rotation_matrix
+
+    @property
+    def temperature(self):
+        return self._temperature
+
+    @property
+    def translation(self):
+        return self._translation
+
+    @property
+    def offsets(self):
+        return self._offsets
+
+    @property
+    def distribcell_index(self):
+        return self._distribcell_index
+
+    @id.setter
+    def id(self, cell_id):
+        if cell_id is None:
+            global AUTO_CELL_ID
+            self._id = AUTO_CELL_ID
+            AUTO_CELL_ID += 1
+        else:
+            cv.check_type('cell ID', cell_id, Integral)
+            cv.check_greater_than('cell ID', cell_id, 0, equality=True)
+            self._id = cell_id
+
+    @name.setter
+    def name(self, name):
+        if name is not None:
+            cv.check_type('cell name', name, basestring)
+            self._name = name
+        else:
+            self._name = ''
+
+    @fill.setter
+    def fill(self, fill):
+        if fill is not None:
+            if isinstance(fill, basestring):
+                if fill.strip().lower() != 'void':
+                    msg = 'Unable to set Cell ID="{0}" to use a non-Material ' \
+                          'or Universe fill "{1}"'.format(self._id, fill)
+                    raise ValueError(msg)
+                fill = None
+
+            elif isinstance(fill, Iterable):
+                for i, f in enumerate(fill):
+                    if f is not None:
+                        cv.check_type('cell.fill[i]', f, openmc.Material)
+
+            elif not isinstance(fill, (openmc.Material, openmc.Lattice,
+                                       openmc.Universe)):
+                msg = 'Unable to set Cell ID="{0}" to use a non-Material or ' \
+                      'Universe fill "{1}"'.format(self._id, fill)
+                raise ValueError(msg)
+
+        self._fill = fill
+
+    @rotation.setter
+    def rotation(self, rotation):
+        if not isinstance(self.fill, openmc.Universe):
+            raise RuntimeError('Cell rotation can only be applied if the cell '
+                               'is filled with a Universe')
+
+        cv.check_type('cell rotation', rotation, Iterable, Real)
+        cv.check_length('cell rotation', rotation, 3)
+        self._rotation = np.asarray(rotation)
+
+        # Save rotation matrix
+        phi, theta, psi = self.rotation*(-pi/180.)
+        c3, s3 = cos(phi), sin(phi)
+        c2, s2 = cos(theta), sin(theta)
+        c1, s1 = cos(psi), sin(psi)
+        self._rotation_matrix = np.array([
+            [c1*c2, c1*s2*s3 - c3*s1, s1*s3 + c1*c3*s2],
+            [c2*s1, c1*c3 + s1*s2*s3, c3*s1*s2 - c1*s3],
+            [-s2, c2*s3, c2*c3]])
+
+    @translation.setter
+    def translation(self, translation):
+        cv.check_type('cell translation', translation, Iterable, Real)
+        cv.check_length('cell translation', translation, 3)
+        self._translation = np.asarray(translation)
+
+    @temperature.setter
+    def temperature(self, temperature):
+        cv.check_type('cell temperature', temperature, (Iterable, Real))
+        if isinstance(temperature, Iterable):
+            cv.check_type('cell temperature', temperature, Iterable, Real)
+            for T in temperature:
+                cv.check_greater_than('cell temperature', T, 0.0, True)
+        else:
+            cv.check_greater_than('cell temperature', temperature, 0.0, True)
+        self._temperature = temperature
+
+    @offsets.setter
+    def offsets(self, offsets):
+        cv.check_type('cell offsets', offsets, Iterable)
+        self._offsets = offsets
+
+    @region.setter
+    def region(self, region):
+        if region is not None:
+            cv.check_type('cell region', region, Region)
+        self._region = region
+
+    @distribcell_index.setter
+    def distribcell_index(self, ind):
+        cv.check_type('distribcell index', ind, Integral)
+        self._distribcell_index = ind
+
+    def add_surface(self, surface, halfspace):
+        """Add a half-space to the list of half-spaces whose intersection defines the
+        cell.
+
+        .. deprecated:: 0.7.1
+            Use the :attr:`Cell.region` property to directly specify a Region
+            expression.
+
+        Parameters
+        ----------
+        surface : openmc.Surface
+            Quadric surface dividing space
+        halfspace : {-1, 1}
+            Indicate whether the negative or positive half-space is to be used
+
+        """
+
+        warnings.warn("Cell.add_surface(...) has been deprecated and may be "
+                      "removed in a future version. The region for a Cell "
+                      "should be defined using the region property directly.",
+                      DeprecationWarning)
+
+        if not isinstance(surface, openmc.Surface):
+            msg = 'Unable to add Surface "{0}" to Cell ID="{1}" since it is ' \
+                        'not a Surface object'.format(surface, self._id)
+            raise ValueError(msg)
+
+        if halfspace not in [-1, +1]:
+            msg = 'Unable to add Surface "{0}" to Cell ID="{1}" with halfspace ' \
+                  '"{2}" since it is not +/-1'.format(surface, self._id, halfspace)
+            raise ValueError(msg)
+
+        # If no region has been assigned, simply use the half-space. Otherwise,
+        # take the intersection of the current region and the half-space
+        # specified
+        region = +surface if halfspace == 1 else -surface
+        if self.region is None:
+            self.region = region
+        else:
+            if isinstance(self.region, Intersection):
+                self.region.nodes.append(region)
+            else:
+                self.region = Intersection(self.region, region)
+
+    def get_cell_instance(self, path, distribcell_index):
+
+        # If the Cell is filled by a Material
+        if self.fill_type in ('material', 'distribmat', 'void'):
+            offset = 0
+
+        # If the Cell is filled by a Universe
+        elif self.fill_type == 'universe':
+            offset = self.offsets[distribcell_index-1]
+            offset += self.fill.get_cell_instance(path, distribcell_index)
+
+        # If the Cell is filled by a Lattice
+        else:
+            offset = self.fill.get_cell_instance(path, distribcell_index)
+
+        return offset
+
+    def get_all_nuclides(self):
+        """Return all nuclides contained in the cell
+
+        Returns
+        -------
+        nuclides : dict
+            Dictionary whose keys are nuclide names and values are 2-tuples of
+            (nuclide, density)
+
+        """
+
+        nuclides = OrderedDict()
+
+        if self.fill_type != 'void':
+            nuclides.update(self.fill.get_all_nuclides())
+
+        return nuclides
+
+    def get_all_cells(self):
+        """Return all cells that are contained within this one if it is filled with a
+        universe or lattice
+
+        Returns
+        -------
+        cells : dict
+            Dictionary whose keys are cell IDs and values are :class:`Cell`
+            instances
+
+        """
+
+        cells = OrderedDict()
+
+        if self.fill_type in ('universe', 'lattice'):
+            cells.update(self.fill.get_all_cells())
+
+        return cells
+
+    def get_all_materials(self):
+        """Return all materials that are contained within the cell
+
+        Returns
+        -------
+        materials : dict
+            Dictionary whose keys are material IDs and values are
+            :class:`Material` instances
+
+        """
+
+        materials = OrderedDict()
+        if self.fill_type == 'material':
+            materials[self.fill.id] = self.fill
+
+        # Append all Cells in each Cell in the Universe to the dictionary
+        cells = self.get_all_cells()
+        for cell in cells.values():
+            materials.update(cell.get_all_materials())
+
+        return materials
+
+    def get_all_universes(self):
+        """Return all universes that are contained within this one if any of
+        its cells are filled with a universe or lattice.
+
+        Returns
+        -------
+        universes : dict
+            Dictionary whose keys are universe IDs and values are
+            :class:`Universe` instances
+
+        """
+
+        universes = OrderedDict()
+
+        if self.fill_type == 'universe':
+            universes[self.fill.id] = self.fill
+            universes.update(self.fill.get_all_universes())
+        elif self.fill_type == 'lattice':
+            universes.update(self.fill.get_all_universes())
+
+        return universes
+
+    def create_xml_subelement(self, xml_element):
+        element = ET.Element("cell")
+        element.set("id", str(self.id))
+
+        if len(self._name) > 0:
+            element.set("name", str(self.name))
+
+        if self.fill_type == 'void':
+            element.set("material", "void")
+
+        elif self.fill_type == 'material':
+            element.set("material", str(self.fill.id))
+
+        elif self.fill_type == 'distribmat':
+            element.set("material", ' '.join(['void' if m is None else str(m.id)
+                                              for m in self.fill]))
+
+        elif self.fill_type in ('universe', 'lattice'):
+            element.set("fill", str(self.fill.id))
+            self.fill.create_xml_subelement(xml_element)
+
+        if self.region is not None:
+            # Set the region attribute with the region specification
+            element.set("region", str(self.region))
+
+            # Only surfaces that appear in a region are added to the geometry
+            # file, so the appropriate check is performed here. First we create
+            # a function which is called recursively to navigate through the CSG
+            # tree. When it reaches a leaf (a Halfspace), it creates a <surface>
+            # element for the corresponding surface if none has been created
+            # thus far.
+            def create_surface_elements(node, element):
+                if isinstance(node, Halfspace):
+                    path = './surface[@id=\'{0}\']'.format(node.surface.id)
+                    if xml_element.find(path) is None:
+                        surface_subelement = node.surface.create_xml_subelement()
+                        xml_element.append(surface_subelement)
+                elif isinstance(node, Complement):
+                    create_surface_elements(node.node, element)
+                else:
+                    for subnode in node.nodes:
+                        create_surface_elements(subnode, element)
+
+            # Call the recursive function from the top node
+            create_surface_elements(self.region, xml_element)
+
+        if self.temperature is not None:
+            if isinstance(self.temperature, Iterable):
+                element.set("temperature", ' '.join(
+                    str(t) for t in self.temperature))
+            else:
+                element.set("temperature", str(self.temperature))
+
+        if self.translation is not None:
+            element.set("translation", ' '.join(map(str, self.translation)))
+
+        if self.rotation is not None:
+            element.set("rotation", ' '.join(map(str, self.rotation)))
+
+        return element
diff --git a/openmc/checkvalue.py b/openmc/checkvalue.py
index 787052f5d6..7c0dff99dd 100644
--- a/openmc/checkvalue.py
+++ b/openmc/checkvalue.py
@@ -1,35 +1,8 @@
+import copy
 from collections import Iterable
-from numbers import Integral, Real
 
 import numpy as np
 
-def _isinstance(value, expected_type):
-    """A Numpy-aware replacement for isinstance
-
-    This function will be obsolete when Numpy v. >= 1.9 is established.
-    """
-
-    # Declare numpy numeric types.
-    np_ints = (np.int_, np.intc, np.intp, np.int8, np.int16, np.int32, np.int64,
-               np.uint8, np.uint16, np.uint32, np.uint64)
-    np_floats = (np.float_, np.float16, np.float32, np.float64)
-
-    # Include numpy integers, if necessary.
-    if type(expected_type) is tuple:
-        if Integral in expected_type:
-            expected_type = expected_type + np_ints
-    elif expected_type is Integral:
-        expected_type = (Integral, ) + np_ints
-
-    # Include numpy floats, if necessary.
-    if type(expected_type) is tuple:
-        if Real in expected_type:
-            expected_type = expected_type + np_floats
-    elif expected_type is Real:
-        expected_type = (Real, ) + np_floats
-
-    # Now, make the instance check.
-    return isinstance(value, expected_type)
 
 def check_type(name, value, expected_type, expected_iter_type=None):
     """Ensure that an object is of an expected type. Optionally, if the object is
@@ -41,26 +14,45 @@ def check_type(name, value, expected_type, expected_iter_type=None):
         Description of value being checked
     value : object
         Object to check type of
-    expected_type : type
+    expected_type : type or Iterable of type
         type to check object against
-    expected_iter_type : type or None, optional
+    expected_iter_type : type or Iterable of type or None, optional
         Expected type of each element in value, assuming it is iterable. If
         None, no check will be performed.
 
     """
 
-    if not _isinstance(value, expected_type):
-        msg = 'Unable to set "{0}" to "{1}" which is not of type "{2}"'.format(
-            name, value, expected_type.__name__)
-        raise ValueError(msg)
+    if not isinstance(value, expected_type):
+        if isinstance(expected_type, Iterable):
+            msg = 'Unable to set "{0}" to "{1}" which is not one of the ' \
+                  'following types: "{2}"'.format(name, value, ', '.join(
+                      [t.__name__ for t in expected_type]))
+        else:
+            msg = 'Unable to set "{0}" to "{1}" which is not of type "{2}"'.format(
+                name, value, expected_type.__name__)
+        raise TypeError(msg)
 
     if expected_iter_type:
-        for item in value:
-            if not _isinstance(item, expected_iter_type):
+        if isinstance(value, np.ndarray):
+            if not issubclass(value.dtype.type, expected_iter_type):
                 msg = 'Unable to set "{0}" to "{1}" since each item must be ' \
                       'of type "{2}"'.format(name, value,
-                                           expected_iter_type.__name__)
-                raise ValueError(msg)
+                                             expected_iter_type.__name__)
+            else:
+                return
+
+        for item in value:
+            if not isinstance(item, expected_iter_type):
+                if isinstance(expected_iter_type, Iterable):
+                    msg = 'Unable to set "{0}" to "{1}" since each item must be ' \
+                          'one of the following types: "{2}"'.format(
+                              name, value, ', '.join([t.__name__ for t in
+                                                      expected_iter_type]))
+                else:
+                    msg = 'Unable to set "{0}" to "{1}" since each item must be ' \
+                          'of type "{2}"'.format(name, value,
+                                                 expected_iter_type.__name__)
+                raise TypeError(msg)
 
 
 def check_iterable_type(name, value, expected_type, min_depth=1, max_depth=1):
@@ -106,12 +98,12 @@ def check_iterable_type(name, value, expected_type, min_depth=1, max_depth=1):
 
         # If this item is of the expected type, then we've reached the bottom
         # level of this branch.
-        if _isinstance(current_item, expected_type):
+        if isinstance(current_item, expected_type):
             # Is this deep enough?
             if len(tree) < min_depth:
                 msg = 'Error setting "{0}": The item at {1} does not meet the '\
                       'minimum depth of {2}'.format(name, ind_str, min_depth)
-                raise ValueError(msg)
+                raise TypeError(msg)
 
             # This item is okay.  Move on to the next item.
             index[-1] += 1
@@ -127,9 +119,9 @@ def check_iterable_type(name, value, expected_type, min_depth=1, max_depth=1):
                 # But first, have we exceeded the max depth?
                 if len(tree) > max_depth:
                     msg = 'Error setting {0}: Found an iterable at {1}, items '\
-                          'in that iterable excceed the maximum depth of {2}' \
+                          'in that iterable exceed the maximum depth of {2}' \
                           .format(name, ind_str, max_depth)
-                    raise ValueError(msg)
+                    raise TypeError(msg)
 
             else:
                 # This item is completely unexpected.
@@ -137,7 +129,7 @@ def check_iterable_type(name, value, expected_type, min_depth=1, max_depth=1):
                       "item at {2} is of type '{3}'"\
                       .format(name, expected_type.__name__, ind_str,
                               type(current_item).__name__)
-                raise ValueError(msg)
+                raise TypeError(msg)
 
 
 def check_length(name, value, length_min, length_max=None):
@@ -169,7 +161,7 @@ def check_length(name, value, length_min, length_max=None):
         else:
             msg = 'Unable to set "{0}" to "{1}" since it must have length ' \
                   'between "{2}" and "{3}"'.format(name, value, length_min,
-                                               length_max)
+                                                   length_max)
         raise ValueError(msg)
 
 
@@ -245,3 +237,66 @@ def check_greater_than(name, value, minimum, equality=False):
             msg = 'Unable to set "{0}" to "{1}" since it is less than ' \
                   'or equal to "{2}"'.format(name, value, minimum)
             raise ValueError(msg)
+
+
+class CheckedList(list):
+    """A list for which each element is type-checked as it's added
+
+    Parameters
+    ----------
+    expected_type : type or Iterable of type
+        Type(s) which each element should be
+    name : str
+        Name of data being checked
+    items : Iterable, optional
+        Items to initialize the list with
+
+    """
+
+    def __init__(self, expected_type, name, items=[]):
+        super(CheckedList, self).__init__()
+        self.expected_type = expected_type
+        self.name = name
+        for item in items:
+            self.append(item)
+
+    def __add__(self, other):
+        new_instance = copy.copy(self)
+        new_instance += other
+        return new_instance
+
+    def __radd__(self, other):
+        return self + other
+
+    def __iadd__(self, other):
+        check_type('CheckedList add operand', other, Iterable,
+                   self.expected_type)
+        for item in other:
+            self.append(item)
+        return self
+
+    def append(self, item):
+        """Append item to list
+
+        Parameters
+        ----------
+        item : object
+            Item to append
+
+        """
+        check_type(self.name, item, self.expected_type)
+        super(CheckedList, self).append(item)
+
+    def insert(self, index, item):
+        """Insert item before index
+
+        Parameters
+        ----------
+        index : int
+            Index in list
+        item : object
+            Item to insert
+
+        """
+        check_type(self.name, item, self.expected_type)
+        super(CheckedList, self).insert(index, item)
diff --git a/openmc/cmfd.py b/openmc/cmfd.py
index c247719c94..76d8685ff1 100644
--- a/openmc/cmfd.py
+++ b/openmc/cmfd.py
@@ -15,9 +15,7 @@ from numbers import Real, Integral
 from xml.etree import ElementTree as ET
 import sys
 
-import numpy as np
-
-from openmc.clean_xml import *
+from openmc.clean_xml import clean_xml_indentation
 from openmc.checkvalue import (check_type, check_length, check_value,
                                check_greater_than, check_less_than)
 
@@ -69,7 +67,7 @@ class CMFDMesh(object):
         to any tallies far away from fission source neutron regions.  A ``2``
         must be used to identify any fission source region.
 
-"""
+    """
 
     def __init__(self):
         self._lower_left = None
@@ -187,8 +185,8 @@ class CMFDMesh(object):
         return element
 
 
-class CMFDFile(object):
-    """Parameters that control the use of coarse-mesh finite difference acceleration
+class CMFD(object):
+    r"""Parameters that control the use of coarse-mesh finite difference acceleration
     in OpenMC. This corresponds directly to the cmfd.xml input file.
 
     Attributes
@@ -219,7 +217,7 @@ class CMFDFile(object):
         inner tolerance for Gauss-Seidel iterations when performing CMFD.
     ktol : float
         Tolerance on the eigenvalue when performing CMFD power iteration
-    cmfd_mesh : CMFDMesh
+    cmfd_mesh : openmc.CMFDMesh
         Structured mesh to be used for acceleration
     norm : float
         Normalization factor applied to the CMFD fission source distribution
diff --git a/openmc/cross.py b/openmc/cross.py
deleted file mode 100644
index c03ee51885..0000000000
--- a/openmc/cross.py
+++ /dev/null
@@ -1,465 +0,0 @@
-import sys
-
-from openmc import Filter, Nuclide
-from openmc.filter import _FILTER_TYPES
-import openmc.checkvalue as cv
-
-
-if sys.version_info[0] >= 3:
-    basestring = str
-
-# Acceptable tally arithmetic binary operations
-_TALLY_ARITHMETIC_OPS = ['+', '-', '*', '/', '^']
-
-
-class CrossScore(object):
-    """A special-purpose tally score used to encapsulate all combinations of two
-    tally's scores as an outer product for tally arithmetic.
-
-    Parameters
-    ----------
-    left_score : str or CrossScore
-        The left score in the outer product
-    right_score : str or CrossScore
-        The right score in the outer product
-    binary_op : str
-        The tally arithmetic binary operator (e.g., '+', '-', etc.) used to
-        combine two tally's scores with this CrossNuclide
-
-    Attributes
-    ----------
-    left_score : str or CrossScore
-        The left score in the outer product
-    right_score : str or CrossScore
-        The right score in the outer product
-    binary_op : str
-        The tally arithmetic binary operator (e.g., '+', '-', etc.) used to
-        combine two tally's scores with this CrossNuclide
-
-    """
-
-    def __init__(self, left_score=None, right_score=None, binary_op=None):
-
-        self._left_score = None
-        self._right_score = None
-        self._binary_op = None
-
-        if left_score is not None:
-            self.left_score = left_score
-        if right_score is not None:
-            self.right_score = right_score
-        if binary_op is not None:
-            self.binary_op = binary_op
-
-    def __hash__(self):
-        return hash(repr(self))
-
-    def __eq__(self, other):
-        return str(other) == str(self)
-
-    def __ne__(self, other):
-        return not self == other
-
-    def __deepcopy__(self, memo):
-        existing = memo.get(id(self))
-
-        # If this is the first time we have tried to copy this object, create a copy
-        if existing is None:
-            clone = type(self).__new__(type(self))
-            clone._left_score = self.left_score
-            clone._right_score = self.right_score
-            clone._binary_op = self.binary_op
-
-            memo[id(self)] = clone
-
-            return clone
-
-        # If this object has been copied before, return the first copy made
-        else:
-            return existing
-
-    def __repr__(self):
-        string = '({0} {1} {2})'.format(self.left_score,
-                                        self.binary_op, self.right_score)
-        return string
-
-    @property
-    def left_score(self):
-        return self._left_score
-
-    @property
-    def right_score(self):
-        return self._right_score
-
-    @property
-    def binary_op(self):
-        return self._binary_op
-
-    @left_score.setter
-    def left_score(self, left_score):
-        cv.check_type('left_score', left_score, (basestring, CrossScore))
-        self._left_score = left_score
-
-    @right_score.setter
-    def right_score(self, right_score):
-        cv.check_type('right_score', right_score, (basestring, CrossScore))
-        self._right_score = right_score
-
-    @binary_op.setter
-    def binary_op(self, binary_op):
-        cv.check_type('binary_op', binary_op, (basestring, CrossScore))
-        cv.check_value('binary_op', binary_op, _TALLY_ARITHMETIC_OPS)
-        self._binary_op = binary_op
-
-
-class CrossNuclide(object):
-    """A special-purpose nuclide used to encapsulate all combinations of two
-    tally's nuclides as an outer product for tally arithmetic.
-
-    Parameters
-    ----------
-    left_nuclide : Nuclide or CrossNuclide
-        The left nuclide in the outer product
-    right_nuclide : Nuclide or CrossNuclide
-        The right nuclide in the outer product
-    binary_op : str
-        The tally arithmetic binary operator (e.g., '+', '-', etc.) used to
-        combine two tally's nuclides with this CrossNuclide
-
-    Attributes
-    ----------
-    left_nuclide : Nuclide or CrossNuclide
-        The left nuclide in the outer product
-    right_nuclide : Nuclide or CrossNuclide
-        The right nuclide in the outer product
-    binary_op : str
-        The tally arithmetic binary operator (e.g., '+', '-', etc.) used to
-        combine two tally's nuclides with this CrossNuclide
-
-    """
-
-    def __init__(self, left_nuclide=None, right_nuclide=None, binary_op=None):
-
-        self._left_nuclide = None
-        self._right_nuclide = None
-        self._binary_op = None
-
-        if left_nuclide is not None:
-            self.left_nuclide = left_nuclide
-        if right_nuclide is not None:
-            self.right_nuclide = right_nuclide
-        if binary_op is not None:
-            self.binary_op = binary_op
-
-    def __hash__(self):
-        return hash(repr(self))
-
-    def __eq__(self, other):
-        return str(other) == str(self)
-
-    def __ne__(self, other):
-        return not self == other
-
-    def __deepcopy__(self, memo):
-        existing = memo.get(id(self))
-
-        # If this is the first time we have tried to copy this object, create a copy
-        if existing is None:
-            clone = type(self).__new__(type(self))
-            clone._left_nuclide = self.left_nuclide
-            clone._right_nuclide = self.right_nuclide
-            clone._binary_op = self.binary_op
-
-            memo[id(self)] = clone
-
-            return clone
-
-        # If this object has been copied before, return the first copy made
-        else:
-            return existing
-
-    def __repr__(self):
-
-        string = ''
-
-        # If the Summary was linked, the left nuclide is a Nuclide object
-        if isinstance(self.left_nuclide, Nuclide):
-            string += '(' + self.left_nuclide.name
-        # If the Summary was not linked, the left nuclide is the ZAID
-        else:
-            string += '(' + str(self.left_nuclide)
-
-        string += ' ' + self.binary_op + ' '
-
-        # If the Summary was linked, the right nuclide is a Nuclide object
-        if isinstance(self.right_nuclide, Nuclide):
-            string += self.right_nuclide.name + ')'
-        # If the Summary was not linked, the right nuclide is the ZAID
-        else:
-            string += str(self.right_nuclide) + ')'
-
-        return string
-
-    @property
-    def left_nuclide(self):
-        return self._left_nuclide
-
-    @property
-    def right_nuclide(self):
-        return self._right_nuclide
-
-    @property
-    def binary_op(self):
-        return self._binary_op
-
-    @left_nuclide.setter
-    def left_nuclide(self, left_nuclide):
-        cv.check_type('left_nuclide', left_nuclide, (Nuclide, CrossNuclide))
-        self._left_nuclide = left_nuclide
-
-    @right_nuclide.setter
-    def right_nuclide(self, right_nuclide):
-        cv.check_type('right_nuclide', right_nuclide, (Nuclide, CrossNuclide))
-        self._right_nuclide = right_nuclide
-
-    @binary_op.setter
-    def binary_op(self, binary_op):
-        cv.check_type('binary_op', binary_op, basestring)
-        cv.check_value('binary_op', binary_op, _TALLY_ARITHMETIC_OPS)
-        self._binary_op = binary_op
-
-
-class CrossFilter(object):
-    """A special-purpose filter used to encapsulate all combinations of two
-    tally's filter bins as an outer product for tally arithmetic.
-
-    Parameters
-    ----------
-    left_filter : Filter or CrossFilter
-        The left filter in the outer product
-    right_filter : Filter or CrossFilter
-        The right filter in the outer product
-    binary_op : str
-        The tally arithmetic binary operator (e.g., '+', '-', etc.) used to
-        combine two tally's filter bins with this CrossFilter
-
-    Attributes
-    ----------
-    left_filter : Filter or CrossFilter
-        The left filter in the outer product
-    right_filter : Filter or CrossFilter
-        The right filter in the outer product
-    binary_op : str
-        The tally arithmetic binary operator (e.g., '+', '-', etc.) used to
-        combine two tally's filter bins with this CrossFilter
-
-    """
-
-    def __init__(self, left_filter=None, right_filter=None, binary_op=None):
-
-        left_type = left_filter.type
-        right_type = right_filter.type
-        self._type = '({0} {1} {2})'.format(left_type, binary_op, right_type)
-
-        self._bins = {}
-        self._stride = None
-
-        self._left_filter = None
-        self._right_filter = None
-        self._binary_op = None
-
-        if left_filter is not None:
-            self.left_filter = left_filter
-            self._bins['left'] = left_filter.bins
-        if right_filter is not None:
-            self.right_filter = right_filter
-            self._bins['right'] = right_filter.bins
-        if binary_op is not None:
-            self.binary_op = binary_op
-
-    def __hash__(self):
-        return hash((self.left_filter, self.right_filter))
-
-    def __eq__(self, other):
-        return str(other) == str(self)
-
-    def __ne__(self, other):
-        return not self == other
-
-    def __repr__(self):
-
-        string = 'CrossFilter\n'
-        filter_type = '({0} {1} {2})'.format(self.left_filter.type,
-                                             self.binary_op,
-                                             self.right_filter.type)
-        filter_bins = '({0} {1} {2})'.format(self.left_filter.bins,
-                                             self.binary_op,
-                                             self.right_filter.bins)
-        string += '{0: <16}{1}{2}\n'.format('\tType', '=\t', filter_type)
-        string += '{0: <16}{1}{2}\n'.format('\tBins', '=\t', filter_bins)
-        return string
-
-    def __deepcopy__(self, memo):
-        existing = memo.get(id(self))
-
-        # If this is the first time we have tried to copy this object, create a copy
-        if existing is None:
-            clone = type(self).__new__(type(self))
-            clone._left_filter = self.left_filter
-            clone._right_filter = self.right_filter
-            clone._binary_op = self.binary_op
-            clone._type = self.type
-            clone._bins = self._bins
-            clone._num_bins = self.num_bins
-            clone._stride = self.stride
-
-            memo[id(self)] = clone
-
-            return clone
-
-        # If this object has been copied before, return the first copy made
-        else:
-            return existing
-
-    @property
-    def left_filter(self):
-        return self._left_filter
-
-    @property
-    def right_filter(self):
-        return self._right_filter
-
-    @property
-    def binary_op(self):
-        return self._binary_op
-
-    @property
-    def type(self):
-        return self._type
-
-    @property
-    def bins(self):
-        return self._bins['left'], self._bins['right']
-
-    @property
-    def num_bins(self):
-        if self.left_filter is not None and self.right_filter is not None:
-            return self.left_filter.num_bins * self.right_filter.num_bins
-        else:
-            return 0
-
-    @property
-    def stride(self):
-        return self._stride
-
-    @type.setter
-    def type(self, filter_type):
-        if filter_type not in _FILTER_TYPES.values():
-            msg = 'Unable to set Filter type to "{0}" since it is not one ' \
-                  'of the supported types'.format(filter_type)
-            raise ValueError(msg)
-
-        self._type = filter_type
-
-    @left_filter.setter
-    def left_filter(self, left_filter):
-        cv.check_type('left_filter', left_filter, (Filter, CrossFilter))
-        self._left_filter = left_filter
-        self._bins['left'] = left_filter.bins
-
-    @right_filter.setter
-    def right_filter(self, right_filter):
-        cv.check_type('right_filter', right_filter, (Filter, CrossFilter))
-        self._right_filter = right_filter
-        self._bins['right'] = right_filter.bins
-
-    @binary_op.setter
-    def binary_op(self, binary_op):
-        cv.check_type('binary_op', binary_op, basestring)
-        cv.check_value('binary_op', binary_op, _TALLY_ARITHMETIC_OPS)
-        self._binary_op = binary_op
-
-    @stride.setter
-    def stride(self, stride):
-        self._stride = stride
-
-    def get_bin_index(self, filter_bin):
-        """Returns the index in the CrossFilter for some bin.
-
-        Parameters
-        ----------
-        filter_bin : 2-tuple
-            A 2-tuple where each value corresponds to the bin of interest
-            in the left and right filter, respectively. A bin is the integer
-            ID for 'material', 'surface', 'cell', 'cellborn', and 'universe'
-            Filters. The bin is an integer for the cell instance ID for
-            'distribcell' Filters. The bin is a 2-tuple of floats for 'energy'
-            and 'energyout' filters corresponding to the energy boundaries of
-            the bin of interest.  The bin is a (x,y,z) 3-tuple for 'mesh'
-            filters corresponding to the mesh cell of interest.
-
-        Returns
-        -------
-        filter_index : Integral
-             The index in the Tally data array for this filter bin.
-
-        """
-
-        left_index = self.left_filter.get_bin_index(filter_bin[0])
-        right_index = self.right_filter.get_bin_index(filter_bin[0])
-        filter_index = left_index * self.right_filter.num_bins + right_index
-        return filter_index
-
-    def get_pandas_dataframe(self, datasize, summary=None):
-        """Builds a Pandas DataFrame for the CrossFilter's bins.
-
-        This method constructs a Pandas DataFrame object for the CrossFilter
-        with columns annotated by filter bin information. This is a helper
-        method for the Tally.get_pandas_dataframe(...) method. This method
-        recursively builds and concatenates Pandas DataFrames for the left
-        and right filters and crossfilters.
-
-        This capability has been tested for Pandas >=0.13.1. However, it is
-        recommended to use v0.16 or newer versions of Pandas since this method
-        uses Pandas' Multi-index functionality.
-
-        Parameters
-        ----------
-        datasize : Integral
-            The total number of bins in the tally corresponding to this filter
-        summary : None or Summary
-            An optional Summary object to be used to construct columns for
-            distribcell tally filters (default is None). The geometric
-            information in the Summary object is embedded into a Multi-index
-            column with a geometric "path" to each distribcell instance.
-            NOTE: This option requires the OpenCG Python package.
-
-        Returns
-        -------
-        pandas.DataFrame
-            A Pandas DataFrame with columns of strings that characterize the
-            crossfilter's bins. Each entry in the DataFrame will include one
-            or more binary operations used to construct the crossfilter's bins.
-            The number of rows in the DataFrame is the same as the total number
-            of bins in the corresponding tally, with the filter bins
-            appropriately tiled to map to the corresponding tally bins.
-
-        See also
-        --------
-        Tally.get_pandas_dataframe(), Filter.get_pandas_dataframe()
-
-        """
-
-        # If left and right filters are identical, do not combine bins
-        if self.left_filter == self.right_filter:
-            df = self.left_filter.get_pandas_dataframe(datasize, summary)
-
-        # If left and right filters are different, combine their bins
-        else:
-            left_df = self.left_filter.get_pandas_dataframe(datasize, summary)
-            right_df = self.right_filter.get_pandas_dataframe(datasize, summary)
-            left_df = left_df.astype(str)
-            right_df = right_df.astype(str)
-            df = '(' + left_df + ' ' + self.binary_op + ' ' + right_df + ')'
-
-        return df
diff --git a/openmc/data/__init__.py b/openmc/data/__init__.py
new file mode 100644
index 0000000000..df22d8bbb4
--- /dev/null
+++ b/openmc/data/__init__.py
@@ -0,0 +1 @@
+from .data import *
diff --git a/openmc/data/data.py b/openmc/data/data.py
new file mode 100644
index 0000000000..c6dd81ba6e
--- /dev/null
+++ b/openmc/data/data.py
@@ -0,0 +1,101 @@
+# Isotopic abundances from M. Berglund and M. E. Wieser, "Isotopic compositions
+# of the elements 2009 (IUPAC Technical Report)", Pure. Appl. Chem. 83 (2),
+# pp. 397--410 (2011).
+natural_abundance = {
+    'H-1': 0.999885, 'H-2': 0.000115, 'He-3': 1.34e-06,
+    'He-4': 0.99999866, 'Li-6': 0.0759, 'Li-7': 0.9241,
+    'Be-9': 1.0, 'B-10': 0.199, 'B-11': 0.801,
+    'C-12': 0.9893, 'C-13': 0.0107, 'N-14': 0.99636,
+    'N-15': 0.00364, 'O-16': 0.99757, 'O-17': 0.00038,
+    'O-18': 0.00205, 'F-19': 1.0, 'Ne-20': 0.9048,
+    'Ne-21': 0.0027, 'Ne-22': 0.0925, 'Na-23': 1.0,
+    'Mg-24': 0.7899, 'Mg-25': 0.1, 'Mg-26': 0.1101,
+    'Al-27': 1.0, 'Si-28': 0.92223, 'Si-29': 0.04685,
+    'Si-30': 0.03092, 'P-31': 1.0, 'S-32': 0.9499,
+    'S-33': 0.0075, 'S-34': 0.0425, 'S-36': 0.0001,
+    'Cl-35': 0.7576, 'Cl-37': 0.2424, 'Ar-36': 0.003336,
+    'Ar-38': 0.000629, 'Ar-40': 0.996035, 'K-39': 0.932581,
+    'K-40': 0.000117, 'K-41': 0.067302, 'Ca-40': 0.96941,
+    'Ca-42': 0.00647, 'Ca-43': 0.00135, 'Ca-44': 0.02086,
+    'Ca-46': 4e-05, 'Ca-48': 0.00187, 'Sc-45': 1.0,
+    'Ti-46': 0.0825, 'Ti-47': 0.0744, 'Ti-48': 0.7372,
+    'Ti-49': 0.0541, 'Ti-50': 0.0518, 'V-50': 0.0025,
+    'V-51': 0.9975, 'Cr-50': 0.04345, 'Cr-52': 0.83789,
+    'Cr-53': 0.09501, 'Cr-54': 0.02365, 'Mn-55': 1.0,
+    'Fe-54': 0.05845, 'Fe-56': 0.91754, 'Fe-57': 0.02119,
+    'Fe-58': 0.00282, 'Co-59': 1.0, 'Ni-58': 0.68077,
+    'Ni-60': 0.26223, 'Ni-61': 0.011399, 'Ni-62': 0.036346,
+    'Ni-64': 0.009255, 'Cu-63': 0.6915, 'Cu-65': 0.3085,
+    'Zn-64': 0.4917, 'Zn-66': 0.2773, 'Zn-67': 0.0404,
+    'Zn-68': 0.1845, 'Zn-70': 0.0061, 'Ga-69': 0.60108,
+    'Ga-71': 0.39892, 'Ge-70': 0.2057, 'Ge-72': 0.2745,
+    'Ge-73': 0.0775, 'Ge-74': 0.365, 'Ge-76': 0.0773,
+    'As-75': 1.0, 'Se-74': 0.0089, 'Se-76': 0.0937,
+    'Se-77': 0.0763, 'Se-78': 0.2377, 'Se-80': 0.4961,
+    'Se-82': 0.0873, 'Br-79': 0.5069, 'Br-81': 0.4931,
+    'Kr-78': 0.00355, 'Kr-80': 0.02286, 'Kr-82': 0.11593,
+    'Kr-83': 0.115, 'Kr-84': 0.56987, 'Kr-86': 0.17279,
+    'Rb-85': 0.7217, 'Rb-87': 0.2783, 'Sr-84': 0.0056,
+    'Sr-86': 0.0986, 'Sr-87': 0.07, 'Sr-88': 0.8258,
+    'Y-89': 1.0, 'Zr-90': 0.5145, 'Zr-91': 0.1122,
+    'Zr-92': 0.1715, 'Zr-94': 0.1738, 'Zr-96': 0.028,
+    'Nb-93': 1.0, 'Mo-92': 0.1453, 'Mo-94': 0.0915,
+    'Mo-95': 0.1584, 'Mo-96': 0.1667, 'Mo-97': 0.096,
+    'Mo-98': 0.2439, 'Mo-100': 0.0982, 'Ru-96': 0.0554,
+    'Ru-98': 0.0187, 'Ru-99': 0.1276, 'Ru-100': 0.126,
+    'Ru-101': 0.1706, 'Ru-102': 0.3155, 'Ru-104': 0.1862,
+    'Rh-103': 1.0, 'Pd-102': 0.0102, 'Pd-104': 0.1114,
+    'Pd-105': 0.2233, 'Pd-106': 0.2733, 'Pd-108': 0.2646,
+    'Pd-110': 0.1172, 'Ag-107': 0.51839, 'Ag-109': 0.48161,
+    'Cd-106': 0.0125, 'Cd-108': 0.0089, 'Cd-110': 0.1249,
+    'Cd-111': 0.128, 'Cd-112': 0.2413, 'Cd-113': 0.1222,
+    'Cd-114': 0.2873, 'Cd-116': 0.0749, 'In-113': 0.0429,
+    'In-115': 0.9571, 'Sn-112': 0.0097, 'Sn-114': 0.0066,
+    'Sn-115': 0.0034, 'Sn-116': 0.1454, 'Sn-117': 0.0768,
+    'Sn-118': 0.2422, 'Sn-119': 0.0859, 'Sn-120': 0.3258,
+    'Sn-122': 0.0463, 'Sn-124': 0.0579, 'Sb-121': 0.5721,
+    'Sb-123': 0.4279, 'Te-120': 0.0009, 'Te-122': 0.0255,
+    'Te-123': 0.0089, 'Te-124': 0.0474, 'Te-125': 0.0707,
+    'Te-126': 0.1884, 'Te-128': 0.3174, 'Te-130': 0.3408,
+    'I-127': 1.0, 'Xe-124': 0.000952, 'Xe-126': 0.00089,
+    'Xe-128': 0.019102, 'Xe-129': 0.264006, 'Xe-130': 0.04071,
+    'Xe-131': 0.212324, 'Xe-132': 0.269086, 'Xe-134': 0.104357,
+    'Xe-136': 0.088573, 'Cs-133': 1.0, 'Ba-130': 0.00106,
+    'Ba-132': 0.00101, 'Ba-134': 0.02417, 'Ba-135': 0.06592,
+    'Ba-136': 0.07854, 'Ba-137': 0.11232, 'Ba-138': 0.71698,
+    'La-138': 0.0008881, 'La-139': 0.9991119, 'Ce-136': 0.00185,
+    'Ce-138': 0.00251, 'Ce-140': 0.8845, 'Ce-142': 0.11114,
+    'Pr-141': 1.0, 'Nd-142': 0.27152, 'Nd-143': 0.12174,
+    'Nd-144': 0.23798, 'Nd-145': 0.08293, 'Nd-146': 0.17189,
+    'Nd-148': 0.05756, 'Nd-150': 0.05638, 'Sm-144': 0.0307,
+    'Sm-147': 0.1499, 'Sm-148': 0.1124, 'Sm-149': 0.1382,
+    'Sm-150': 0.0738, 'Sm-152': 0.2675, 'Sm-154': 0.2275,
+    'Eu-151': 0.4781, 'Eu-153': 0.5219, 'Gd-152': 0.002,
+    'Gd-154': 0.0218, 'Gd-155': 0.148, 'Gd-156': 0.2047,
+    'Gd-157': 0.1565, 'Gd-158': 0.2484, 'Gd-160': 0.2186,
+    'Tb-159': 1.0, 'Dy-156': 0.00056, 'Dy-158': 0.00095,
+    'Dy-160': 0.02329, 'Dy-161': 0.18889, 'Dy-162': 0.25475,
+    'Dy-163': 0.24896, 'Dy-164': 0.2826, 'Ho-165': 1.0,
+    'Er-162': 0.00139, 'Er-164': 0.01601, 'Er-166': 0.33503,
+    'Er-167': 0.22869, 'Er-168': 0.26978, 'Er-170': 0.1491,
+    'Tm-169': 1.0, 'Yb-168': 0.00123, 'Yb-170': 0.02982,
+    'Yb-171': 0.1409, 'Yb-172': 0.2168, 'Yb-173': 0.16103,
+    'Yb-174': 0.32026, 'Yb-176': 0.12996, 'Lu-175': 0.97401,
+    'Lu-176': 0.02599, 'Hf-174': 0.0016, 'Hf-176': 0.0526,
+    'Hf-177': 0.186, 'Hf-178': 0.2728, 'Hf-179': 0.1362,
+    'Hf-180': 0.3508, 'Ta-180': 0.0001201, 'Ta-181': 0.9998799,
+    'W-180': 0.0012, 'W-182': 0.265, 'W-183': 0.1431,
+    'W-184': 0.3064, 'W-186': 0.2843, 'Re-185': 0.374,
+    'Re-187': 0.626, 'Os-184': 0.0002, 'Os-186': 0.0159,
+    'Os-187': 0.0196, 'Os-188': 0.1324, 'Os-189': 0.1615,
+    'Os-190': 0.2626, 'Os-192': 0.4078, 'Ir-191': 0.373,
+    'Ir-193': 0.627, 'Pt-190': 0.00012, 'Pt-192': 0.00782,
+    'Pt-194': 0.3286, 'Pt-195': 0.3378, 'Pt-196': 0.2521,
+    'Pt-198': 0.07356, 'Au-197': 1.0, 'Hg-196': 0.0015,
+    'Hg-198': 0.0997, 'Hg-199': 0.1687, 'Hg-200': 0.231,
+    'Hg-201': 0.1318, 'Hg-202': 0.2986, 'Hg-204': 0.0687,
+    'Tl-203': 0.2952, 'Tl-205': 0.7048, 'Pb-204': 0.014,
+    'Pb-206': 0.241, 'Pb-207': 0.221, 'Pb-208': 0.524,
+    'Bi-209': 1.0, 'Th-232': 1.0, 'Pa-231': 1.0,
+    'U-234': 5.4e-05, 'U-235': 0.007204, 'U-238': 0.992742
+}
diff --git a/openmc/element.py b/openmc/element.py
index 9f04abfdab..c877c27a12 100644
--- a/openmc/element.py
+++ b/openmc/element.py
@@ -1,6 +1,8 @@
 import sys
 
-from openmc.checkvalue import check_type
+import openmc
+from openmc.checkvalue import check_type, check_length
+from openmc.data import natural_abundance
 
 if sys.version_info[0] >= 3:
     basestring = str
@@ -24,7 +26,7 @@ class Element(object):
         Chemical symbol of the element, e.g. Pu
     xs : str
         Cross section identifier, e.g. 71c
-    scattering : 'data' or 'iso-in-lab' or None
+    scattering : {'data', 'iso-in-lab', None}
         The type of angular scattering distribution to use
 
     """
@@ -43,9 +45,9 @@ class Element(object):
 
     def __eq__(self, other):
         if isinstance(other, Element):
-            if self._name != other._name:
+            if self.name != other.name:
                 return False
-            elif self._xs != other._xs:
+            elif self.xs != other.xs:
                 return False
             else:
                 return True
@@ -57,6 +59,12 @@ class Element(object):
     def __ne__(self, other):
         return not self == other
 
+    def __gt__(self, other):
+        return repr(self) > repr(other)
+
+    def __lt__(self, other):
+        return not self > other
+
     def __hash__(self):
         return hash(repr(self))
 
@@ -88,7 +96,8 @@ class Element(object):
 
     @name.setter
     def name(self, name):
-        check_type('name', name, basestring)
+        check_type('element name', name, basestring)
+        check_length('element name', name, 1, 2)
         self._name = name
 
     @scattering.setter
@@ -100,3 +109,22 @@ class Element(object):
             raise ValueError(msg)
 
         self._scattering = scattering
+
+    def expand(self):
+        """Expand natural element into its naturally-occurring isotopes.
+
+        Returns
+        -------
+        isotopes : list
+            Naturally-occurring isotopes of the element. Each item of the list
+            is a tuple consisting of an openmc.Nuclide instance and the natural
+            abundance of the isotope.
+
+        """
+
+        isotopes = []
+        for isotope, abundance in sorted(natural_abundance.items()):
+            if isotope.startswith(self.name + '-'):
+                nuc = openmc.Nuclide(isotope, self.xs)
+                isotopes.append((nuc, abundance))
+        return isotopes
diff --git a/openmc/executor.py b/openmc/executor.py
index 58cb912465..fbd9e5d82a 100644
--- a/openmc/executor.py
+++ b/openmc/executor.py
@@ -1,130 +1,103 @@
 from __future__ import print_function
 import subprocess
 from numbers import Integral
-import os
 import sys
 
-from openmc.checkvalue import check_type
-
 if sys.version_info[0] >= 3:
     basestring = str
 
 
-class Executor(object):
-    """Control execution of OpenMC
+def _run(command, output, cwd):
+    # Launch a subprocess
+    p = subprocess.Popen(command, shell=True, cwd=cwd, stdout=subprocess.PIPE,
+                         stderr=subprocess.STDOUT, universal_newlines=True)
 
-    Attributes
+    # Capture and re-print OpenMC output in real-time
+    while True:
+        # If OpenMC is finished, break loop
+        line = p.stdout.readline()
+        if not line and p.poll() != None:
+            break
+
+        # If user requested output, print to screen
+        if output:
+            print(line, end='')
+
+    # Return the returncode (integer, zero if no problems encountered)
+    return p.returncode
+
+
+def plot_geometry(output=True, openmc_exec='openmc', cwd='.'):
+    """Run OpenMC in plotting mode
+
+    Parameters
     ----------
-    working_directory : str
-        Path to working directory to run in
+    output : bool
+        Capture OpenMC output from standard out
+    openmc_exec : str
+        Path to OpenMC executable
+    cwd : str, optional
+        Path to working directory to run in. Defaults to the current working directory.
 
     """
 
-    def __init__(self):
-        self._working_directory = '.'
+    return _run(openmc_exec + ' -p', output, cwd)
 
-    def _run_openmc(self, command, output):
-        # Launch a subprocess to run OpenMC
-        p = subprocess.Popen(command, shell=True,
-                             cwd=self._working_directory,
-                             stdout=subprocess.PIPE)
 
-        # Capture and re-print OpenMC output in real-time
-        while True:
-            # If OpenMC is finished, break loop
-            line = p.stdout.readline()
-            if not line and p.poll() != None:
-                break
+def run(particles=None, threads=None, geometry_debug=False,
+        restart_file=None, tracks=False, mpi_procs=1, output=True,
+        openmc_exec='openmc', mpi_exec='mpiexec', cwd='.'):
+    """Run an OpenMC simulation.
 
-            # If user requested output, print to screen
-            if output:
-                print(line, end='')
+    Parameters
+    ----------
+    particles : int, optional
+        Number of particles to simulate per generation.
+    threads : int, optional
+        Number of OpenMP threads. If OpenMC is compiled with OpenMP threading
+        enabled, the default is implementation-dependent but is usually equal to
+        the number of hardware threads available (or a value set by the
+        OMP_NUM_THREADS environment variable).
+    geometry_debug : bool, optional
+        Turn on geometry debugging during simulation. Defaults to False.
+    restart_file : str, optional
+        Path to restart file to use
+    tracks : bool, optional
+        Write tracks for all particles. Defaults to False.
+    mpi_procs : int, optional
+        Number of MPI processes.
+    output : bool, optional
+        Capture OpenMC output from standard out. Defaults to True.
+    openmc_exec : str, optional
+        Path to OpenMC executable. Defaults to 'openmc'.
+    mpi_exec : str, optional
+        MPI execute command. Defaults to 'mpiexec'.
+    cwd : str, optional
+        Path to working directory to run in. Defaults to the current working directory.
 
-        # Return the returncode (integer, zero if no problems encountered)
-        return p.returncode
+    """
 
-    @property
-    def working_directory(self):
-        return self._working_directory
+    post_args = ' '
+    pre_args = ''
 
-    @working_directory.setter
-    def working_directory(self, working_directory):
-        check_type("Executor's working directory", working_directory,
-                   basestring)
-        if not os.path.isdir(working_directory):
-            msg = 'Unable to set Executor\'s working directory to "{0}" ' \
-                  'which does not exist'.format(working_directory)
-            raise ValueError(msg)
+    if isinstance(particles, Integral) and particles > 0:
+        post_args += '-n {0} '.format(particles)
 
-        self._working_directory = working_directory
+    if isinstance(threads, Integral) and threads > 0:
+        post_args += '-s {0} '.format(threads)
 
-    def plot_geometry(self, output=True, openmc_exec='openmc'):
-        """Run OpenMC in plotting mode"""
+    if geometry_debug:
+        post_args += '-g '
 
-        return self._run_openmc(openmc_exec + ' -p', output)
+    if isinstance(restart_file, basestring):
+        post_args += '-r {0} '.format(restart_file)
 
-    def run_simulation(self, particles=None, threads=None,
-                       geometry_debug=False, restart_file=None,
-                       tracks=False, mpi_procs=1, output=True,
-                       openmc_exec='openmc', mpi_exec=None):
-        """Run an OpenMC simulation.
+    if tracks:
+        post_args += '-t'
 
-        Parameters
-        ----------
-        particles : int
-            Number of particles to simulate per generation
-        threads : int
-            Number of OpenMP threads
-        geometry_debug : bool
-            Turn on geometry debugging during simulation
-        restart_file : str
-            Path to restart file to use
-        tracks : bool
-            Write tracks for all particles
-        mpi_procs : int
-            Number of MPI processes
-        output : bool
-            Capture OpenMC output from standard out
-        openmc_exec : str
-            Path to OpenMC executable
+    if isinstance(mpi_procs, Integral) and mpi_procs > 1:
+        pre_args += '{} -n {} '.format(mpi_exec, mpi_procs)
 
-        """
+    command = pre_args + openmc_exec + ' ' + post_args
 
-        post_args = ' '
-        pre_args = ''
-
-        if isinstance(particles, Integral) and particles > 0:
-            post_args += '-n {0} '.format(particles)
-
-        if isinstance(threads, Integral) and threads > 0:
-            post_args += '-s {0} '.format(threads)
-
-        if geometry_debug:
-            post_args += '-g '
-
-        if isinstance(restart_file, basestring):
-            post_args += '-r {0} '.format(restart_file)
-
-        if tracks:
-            post_args += '-t'
-
-        if isinstance(mpi_procs, Integral) and mpi_procs > 1:
-            np_present = True
-        else:
-            np_present = False
-
-        if mpi_exec is not None and isinstance(mpi_exec, basestring):
-            mpi_exec_present = True
-        else:
-            mpi_exec_present = False
-
-        if np_present or mpi_exec_present:
-            if mpi_exec_present:
-                pre_args += mpi_exec + ' '
-            else:
-                pre_args += 'mpirun '
-            pre_args += '-n {0} '.format(mpi_procs)
-
-        command = pre_args + openmc_exec + ' ' + post_args
-
-        return self._run_openmc(command, output)
+    return _run(command, output, cwd)
diff --git a/openmc/filter.py b/openmc/filter.py
index 04935b8edc..bc8b5bdf77 100644
--- a/openmc/filter.py
+++ b/openmc/filter.py
@@ -1,4 +1,4 @@
-from collections import Iterable
+from collections import Iterable, OrderedDict
 import copy
 from numbers import Real, Integral
 import sys
@@ -6,7 +6,6 @@ import sys
 import numpy as np
 
 from openmc import Mesh
-from openmc.summary import Summary
 import openmc.checkvalue as cv
 
 
@@ -27,7 +26,8 @@ class Filter(object):
     type : str
         The type of the tally filter. Acceptable values are "universe",
         "material", "cell", "cellborn", "surface", "mesh", "energy",
-        "energyout", and "distribcell".
+        "energyout", "distribcell", "mu", "polar", "azimuthal", and
+        "delayedgroup".
     bins : Integral or Iterable of Integral or Iterable of Real
         The bins for the filter. This takes on different meaning for different
         filters. See the OpenMC online documentation for more details.
@@ -35,18 +35,19 @@ class Filter(object):
     Attributes
     ----------
     type : str
-        The type of the tally filter.
-    bins : Integral or Iterable of Integral or Iterable of Real
+        The type of the tally filter
+    bins : Integral or Iterable of Real
         The bins for the filter
     num_bins : Integral
         The number of filter bins
-    mesh : Mesh or None
+    mesh : openmc.Mesh or None
         A Mesh object for 'mesh' type filters.
-    offset : Integral
-        A value used to index tally bins for 'distribcell' tallies.
     stride : Integral
         The number of filter, nuclide and score bins within each of this
         filter's bins.
+    distribcell_paths : list of str
+        The paths traversed through the CSG tree to reach each distribcell
+        instance (for 'distribcell' filters only)
 
     """
 
@@ -57,8 +58,8 @@ class Filter(object):
         self._num_bins = 0
         self._bins = None
         self._mesh = None
-        self._offset = -1
         self._stride = None
+        self._distribcell_paths = None
 
         if type is not None:
             self.type = type
@@ -80,35 +81,32 @@ class Filter(object):
     def __ne__(self, other):
         return not self == other
 
+    def __gt__(self, other):
+        if self.type != other.type:
+            if self.type in _FILTER_TYPES and other.type in _FILTER_TYPES:
+                delta = _FILTER_TYPES.index(self.type) - \
+                        _FILTER_TYPES.index(other.type)
+                return delta > 0
+            else:
+                return False
+        else:
+            # Compare largest/smallest energy bin edges in energy filters
+            # This logic is used when merging tallies with energy filters
+            if 'energy' in self.type and 'energy' in other.type:
+                return self.bins[0] >= other.bins[-1]
+            else:
+                return max(self.bins) > max(other.bins)
+
+    def __lt__(self, other):
+        return not self > other
+
     def __hash__(self):
         return hash(repr(self))
 
-    def __deepcopy__(self, memo):
-        existing = memo.get(id(self))
-
-        # If this is the first time we have tried to copy this object, create a copy
-        if existing is None:
-            clone = type(self).__new__(type(self))
-            clone._type = self.type
-            clone._bins = copy.deepcopy(self.bins, memo)
-            clone._num_bins = self.num_bins
-            clone._mesh = copy.deepcopy(self.mesh, memo)
-            clone._offset = self.offset
-            clone._stride = self.stride
-
-            memo[id(self)] = clone
-
-            return clone
-
-        # If this object has been copied before, return the first copy made
-        else:
-            return existing
-
     def __repr__(self):
         string = 'Filter\n'
         string += '{0: <16}{1}{2}\n'.format('\tType', '=\t', self.type)
         string += '{0: <16}{1}{2}\n'.format('\tBins', '=\t', self.bins)
-        string += '{0: <16}{1}{2}\n'.format('\tOffset', '=\t', self.offset)
         return string
 
     @property
@@ -134,14 +132,14 @@ class Filter(object):
     def mesh(self):
         return self._mesh
 
-    @property
-    def offset(self):
-        return self._offset
-
     @property
     def stride(self):
         return self._stride
 
+    @property
+    def distribcell_paths(self):
+        return self._distribcell_paths
+
     @type.setter
     def type(self, type):
         if type is None:
@@ -176,7 +174,7 @@ class Filter(object):
 
         elif self.type in ['energy', 'energyout']:
             for edge in bins:
-                if not cv._isinstance(edge, Real):
+                if not isinstance(edge, Real):
                     msg = 'Unable to add bin edge "{0}" to a "{1}" Filter ' \
                           'since it is a non-integer or floating point ' \
                           'value'.format(edge, self.type)
@@ -200,7 +198,7 @@ class Filter(object):
                 msg = 'Unable to add bins "{0}" to a mesh Filter since ' \
                       'only a single mesh can be used per tally'.format(bins)
                 raise ValueError(msg)
-            elif not cv._isinstance(bins[0], Integral):
+            elif not isinstance(bins[0], Integral):
                 msg = 'Unable to add bin "{0}" to mesh Filter since it ' \
                        'is a non-integer'.format(bins[0])
                 raise ValueError(msg)
@@ -226,11 +224,6 @@ class Filter(object):
         self.type = 'mesh'
         self.bins = self.mesh.id
 
-    @offset.setter
-    def offset(self, offset):
-        cv.check_type('filter offset', offset, Integral)
-        self._offset = offset
-
     @stride.setter
     def stride(self, stride):
         cv.check_type('filter stride', stride, Integral)
@@ -241,12 +234,17 @@ class Filter(object):
 
         self._stride = stride
 
-    def can_merge(self, filter):
+    @distribcell_paths.setter
+    def distribcell_paths(self, distribcell_paths):
+        cv.check_iterable_type('distribcell_paths', distribcell_paths, str)
+        self._distribcell_paths = distribcell_paths
+
+    def can_merge(self, other):
         """Determine if filter can be merged with another.
 
         Parameters
         ----------
-        filter : Filter
+        other : openmc.Filter
             Filter to compare with
 
         Returns
@@ -256,55 +254,75 @@ class Filter(object):
 
         """
 
-        if not isinstance(filter, Filter):
+        if not isinstance(other, Filter):
             return False
 
         # Filters must be of the same type
-        elif self.type != filter.type:
+        if self.type != other.type:
             return False
 
         # Distribcell filters cannot have more than one bin
-        elif self.type == 'distribcell':
+        if self.type == 'distribcell':
             return False
 
         # Mesh filters cannot have more than one bin
         elif self.type == 'mesh':
             return False
 
-        # Different energy bins are not mergeable
+        # Different energy bins structures must be mutually exclusive and
+        # share only one shared bin edge at the minimum or maximum energy
         elif 'energy' in self.type:
-            return False
+            # This low energy edge coincides with other's high energy edge
+            if self.bins[0] == other.bins[-1]:
+                return True
+            # This high energy edge coincides with other's low energy edge
+            elif self.bins[-1] == other.bins[0]:
+                return True
+            else:
+                return False
 
         else:
             return True
 
-    def merge(self, filter):
+    def merge(self, other):
         """Merge this filter with another.
 
         Parameters
         ----------
-        filter : Filter
+        other : openmc.Filter
             Filter to merge with
 
         Returns
         -------
-        merged_filter : Filter
+        merged_filter : openmc.Filter
             Filter resulting from the merge
 
         """
 
-        if not self.can_merge(filter):
+        if not self.can_merge(other):
             msg = 'Unable to merge "{0}" with "{1}" ' \
-                  'filters'.format(self.type, filter.type)
+                  'filters'.format(self.type, other.type)
             raise ValueError(msg)
 
         # Create deep copy of filter to return as merged filter
         merged_filter = copy.deepcopy(self)
 
         # Merge unique filter bins
-        merged_bins = list(set(np.concatenate((self.bins, filter.bins))))
-        merged_filter.bins = merged_bins
-        merged_filter.num_bins = len(merged_bins)
+        merged_bins = np.concatenate((self.bins, other.bins))
+        merged_bins = np.unique(merged_bins)
+
+        # Sort energy bin edges
+        if 'energy' in self.type:
+            merged_bins = sorted(merged_bins)
+
+        # Assign merged bins to merged filter
+        merged_filter.bins = list(merged_bins)
+
+        # Count bins in the merged filter
+        if 'energy' in merged_filter.type:
+            merged_filter.num_bins = len(merged_bins) - 1
+        else:
+            merged_filter.num_bins = len(merged_bins)
 
         return merged_filter
 
@@ -316,7 +334,7 @@ class Filter(object):
 
         Parameters
         ----------
-        other : Filter
+        other : openmc.Filter
             The filter to query as a subset of this filter
 
         Returns
@@ -372,7 +390,7 @@ class Filter(object):
             if self.type == 'mesh':
                 # Convert (x,y,z) to a single bin -- this is similar to
                 # subroutine mesh_indices_to_bin in openmc/src/mesh.F90.
-                if (len(self.mesh.dimension) == 3):
+                if len(self.mesh.dimension) == 3:
                     nx, ny, nz = self.mesh.dimension
                     val = (filter_bin[0] - 1) * ny * nz + \
                           (filter_bin[1] - 1) * nz + \
@@ -476,12 +494,12 @@ class Filter(object):
 
         return filter_bin
 
-    def get_pandas_dataframe(self, data_size, summary=None):
+    def get_pandas_dataframe(self, data_size, distribcell_paths=True):
         """Builds a Pandas DataFrame for the Filter's bins.
 
         This method constructs a Pandas DataFrame object for the filter with
-        columns annotated by filter bin information. This is a helper method
-        for the Tally.get_pandas_dataframe(...) method.
+        columns annotated by filter bin information. This is a helper method for
+        :meth:`Tally.get_pandas_dataframe`.
 
         This capability has been tested for Pandas >=0.13.1. However, it is
         recommended to use v0.16 or newer versions of Pandas since this method
@@ -491,12 +509,13 @@ class Filter(object):
         ----------
         data_size : Integral
             The total number of bins in the tally corresponding to this filter
-        summary : None or Summary
-            An optional Summary object to be used to construct columns for
-            distribcell tally filters (default is None). The geometric
-            information in the Summary object is embedded into a Multi-index
-            column with a geometric "path" to each distribcell instance.
-            NOTE: This option requires the OpenCG Python package.
+        distribcell_paths : bool, optional
+            Construct columns for distribcell tally filters (default is True).
+            The geometric information in the Summary object is embedded into a
+            Multi-index column with a geometric "path" to each distribcell
+            instance. NOTE: This option assumes that all distribcell paths are
+            of the same length and do not have the same universes and cells but
+            different lattice cell indices.
 
         Returns
         -------
@@ -514,11 +533,11 @@ class Filter(object):
 
             1. a single column with the cell instance IDs (without summary info)
             2. separate columns for the cell IDs, universe IDs, and lattice IDs
-               and x,y,z cell indices corresponding to each (with summary info).
+               and x,y,z cell indices corresponding to each (distribcell paths).
 
-            For 'energy' and 'energyout' filters, the DataFrame include a single
-            column with each element comprising a string with the lower, upper
-            energy bounds for each filter bin.
+            For 'energy' and 'energyout' filters, the DataFrame includes one
+            column for the lower energy bound and one column for the upper
+            energy bound for each filter bin.
 
             For 'mesh' filters, the DataFrame includes three columns for the
             x,y,z mesh cell indices corresponding to each filter bin.
@@ -526,8 +545,7 @@ class Filter(object):
         Raises
         ------
         ImportError
-            When Pandas is not installed, or summary info is requested but
-            OpenCG is not installed.
+            When Pandas is not installed
 
         See also
         --------
@@ -535,14 +553,8 @@ class Filter(object):
 
         """
 
-        # Attempt to import Pandas
-        try:
-            import pandas as pd
-        except ImportError:
-            msg = 'The Pandas Python package must be installed on your system'
-            raise ImportError(msg)
-
         # Initialize Pandas DataFrame
+        import pandas as pd
         df = pd.DataFrame()
 
         # mesh filters
@@ -555,7 +567,7 @@ class Filter(object):
             mesh_key = 'mesh {0}'.format(self.mesh.id)
 
             # Find mesh dimensions - use 3D indices for simplicity
-            if (len(self.mesh.dimension) == 3):
+            if len(self.mesh.dimension) == 3:
                 nx, ny, nz = self.mesh.dimension
             else:
                 nx, ny = self.mesh.dimension
@@ -592,112 +604,117 @@ class Filter(object):
         elif self.type == 'distribcell':
             level_df = None
 
-            if isinstance(summary, Summary):
-                # Attempt to import the OpenCG package
-                try:
-                    import opencg
-                except ImportError:
-                    msg = 'The OpenCG package must be installed ' \
-                          'to use a Summary for distribcell dataframes'
-                    raise ImportError(msg)
+            # Create Pandas Multi-index columns for each level in CSG tree
+            if distribcell_paths:
 
-                # Extract the OpenCG geometry from the Summary
-                opencg_geometry = summary.opencg_geometry
-                openmc_geometry = summary.openmc_geometry
+                # Distribcell paths require linked metadata from the Summary
+                if self.distribcell_paths is None:
+                    msg = 'Unable to construct distribcell paths since ' \
+                          'the Summary is not linked to the StatePoint'
+                    raise ValueError(msg)
 
-                # Use OpenCG to compute the number of regions
-                opencg_geometry.initialize_cell_offsets()
-                num_regions = opencg_geometry.num_regions
+                # Make copy of array of distribcell paths to use in
+                # Pandas Multi-index column construction
+                distribcell_paths = copy.deepcopy(self.distribcell_paths)
+                num_offsets = len(distribcell_paths)
 
-                # Initialize a dictionary mapping OpenMC distribcell
-                # offsets to OpenCG LocalCoords linked lists
-                offsets_to_coords = {}
-
-                # Use OpenCG to compute LocalCoords linked list for
-                # each region and store in dictionary
-                for region in range(num_regions):
-                    coords = opencg_geometry.find_region(region)
-                    path = opencg.get_path(coords)
-                    cell_id = path[-1]
-
-                    # If this region is in Cell corresponding to the
-                    # distribcell filter bin, store it in dictionary
-                    if cell_id == self.bins[0]:
-                        offset = openmc_geometry.get_offset(path, self.offset)
-                        offsets_to_coords[offset] = coords
-
-                # Each distribcell offset is a DataFrame bin
-                # Unravel the paths into DataFrame columns
-                num_offsets = len(offsets_to_coords)
-
-                # Initialize termination condition for while loop
+                # Loop over CSG levels in the distribcell paths
+                level_counter = 0
                 levels_remain = True
-                counter = 0
-
-                # Iterate over each level in the CSG tree hierarchy
                 while levels_remain:
-                    levels_remain = False
 
-                    # Initialize dictionary to build Pandas Multi-index
-                    # column for this level in the CSG tree hierarchy
-                    level_dict = {}
+                    # Use level key as first index in Pandas Multi-index column
+                    level_counter += 1
+                    level_key = 'level {}'.format(level_counter)
 
-                    # Initialize prefix Multi-index keys
-                    counter += 1
-                    level_key = 'level {0}'.format(counter)
-                    univ_key = (level_key, 'univ', 'id')
-                    cell_key = (level_key, 'cell', 'id')
-                    lat_id_key = (level_key, 'lat', 'id')
-                    lat_x_key = (level_key, 'lat', 'x')
-                    lat_y_key = (level_key, 'lat', 'y')
-                    lat_z_key = (level_key, 'lat', 'z')
+                    # Use the first distribcell path to determine if level
+                    # is a universe/cell or lattice level
+                    first_path = distribcell_paths[0]
+                    next_index = first_path.index('-')
+                    level = first_path[:next_index]
 
-                    # Allocate NumPy arrays for each CSG level and
-                    # each Multi-index column in the DataFrame
-                    level_dict[univ_key] = np.empty(num_offsets)
-                    level_dict[cell_key] = np.empty(num_offsets)
-                    level_dict[lat_id_key] = np.empty(num_offsets)
-                    level_dict[lat_x_key] = np.empty(num_offsets)
-                    level_dict[lat_y_key] = np.empty(num_offsets)
-                    level_dict[lat_z_key] = np.empty(num_offsets)
+                    # Trim universe/lattice info from path
+                    first_path = first_path[next_index+2:]
 
-                    # Initialize Multi-index columns to NaN - this is
-                    # necessary since some distribcell instances may
-                    # have very different LocalCoords linked lists
-                    level_dict[univ_key][:] = np.NAN
-                    level_dict[cell_key][:] = np.NAN
-                    level_dict[lat_id_key][:] = np.NAN
-                    level_dict[lat_x_key][:] = np.NAN
-                    level_dict[lat_y_key][:] = np.NAN
-                    level_dict[lat_z_key][:] = np.NAN
+                    # Create a dictionary for this level for Pandas Multi-index
+                    level_dict = OrderedDict()
 
-                    # Iterate over all regions (distribcell instances)
-                    for offset in range(num_offsets):
-                        coords = offsets_to_coords[offset]
+                    # This level is a lattice (e.g., ID(x,y,z))
+                    if '(' in level:
+                        level_type = 'lattice'
 
-                        # If entire LocalCoords has been unraveled into
-                        # Multi-index columns already, continue
-                        if coords is None:
-                            continue
+                        # Initialize prefix Multi-index keys
+                        lat_id_key = (level_key, 'lat', 'id')
+                        lat_x_key = (level_key, 'lat', 'x')
+                        lat_y_key = (level_key, 'lat', 'y')
+                        lat_z_key = (level_key, 'lat', 'z')
 
-                        # Assign entry to Universe Multi-index column
-                        if coords._type == 'universe':
-                            level_dict[univ_key][offset] = coords._universe._id
-                            level_dict[cell_key][offset] = coords._cell._id
+                        # Allocate NumPy arrays for each CSG level and
+                        # each Multi-index column in the DataFrame
+                        level_dict[lat_id_key] = np.empty(num_offsets)
+                        level_dict[lat_x_key] = np.empty(num_offsets)
+                        level_dict[lat_y_key] = np.empty(num_offsets)
+                        level_dict[lat_z_key] = np.empty(num_offsets)
+
+                    # This level is a universe / cell (e.g., ID->ID)
+                    else:
+                        level_type = 'universe'
+
+                        # Initialize prefix Multi-index keys
+                        univ_key = (level_key, 'univ', 'id')
+                        cell_key = (level_key, 'cell', 'id')
+
+                        # Allocate NumPy arrays for each CSG level and
+                        # each Multi-index column in the DataFrame
+                        level_dict[univ_key] = np.empty(num_offsets)
+                        level_dict[cell_key] = np.empty(num_offsets)
+
+                        # Determine any levels remain in path
+                        if '-' not in first_path:
+                            levels_remain = False
+
+                    # Populate Multi-index arrays with all distribcell paths
+                    for i, path in enumerate(distribcell_paths):
+
+                        if level_type == 'lattice':
+                            # Extract lattice ID, indices from path
+                            next_index = path.index('-')
+                            lat_id_indices = path[:next_index]
+
+                            # Trim lattice info from distribcell path
+                            distribcell_paths[i] = path[next_index+2:]
+
+                            # Extract the lattice cell indices from the path
+                            i1 = lat_id_indices.index('(')
+                            i2 = lat_id_indices.index(')')
+                            i3 = lat_id_indices[i1+1:i2]
+
+                            # Assign entry to Lattice Multi-index column
+                            level_dict[lat_id_key][i] = path[:i1]
+                            level_dict[lat_x_key][i] = int(i3.split(',')[0]) - 1
+                            level_dict[lat_y_key][i] = int(i3.split(',')[1]) - 1
+                            level_dict[lat_z_key][i] = int(i3.split(',')[2]) - 1
 
-                        # Assign entry to Lattice Multi-index column
                         else:
-                            level_dict[lat_id_key][offset] = coords._lattice._id
-                            level_dict[lat_x_key][offset] = coords._lat_x
-                            level_dict[lat_y_key][offset] = coords._lat_y
-                            level_dict[lat_z_key][offset] = coords._lat_z
+                            # Extract universe ID from path
+                            next_index = path.index('-')
+                            universe_id = int(path[:next_index])
 
-                        # Move to next node in LocalCoords linked list
-                        if coords._next is None:
-                            offsets_to_coords[offset] = None
-                        else:
-                            offsets_to_coords[offset] = coords._next
-                            levels_remain = True
+                            # Trim universe info from distribcell path
+                            path = path[next_index+2:]
+
+                            # Extract cell ID from path
+                            if '-' in path:
+                                next_index = path.index('-')
+                                cell_id = int(path[:next_index])
+                                distribcell_paths[i] = path[next_index+2:]
+                            else:
+                                cell_id = int(path)
+                                distribcell_paths[i] = ''
+
+                            # Assign entry to Universe, Cell Multi-index columns
+                            level_dict[univ_key][i] = universe_id
+                            level_dict[cell_key][i] = cell_id
 
                     # Tile the Multi-index columns
                     for level_key, level_bins in level_dict.items():
@@ -712,14 +729,13 @@ class Filter(object):
                     else:
                         level_df = pd.concat([level_df, pd.DataFrame(level_dict)], axis=1)
 
-            # Create DataFrame column for distribcell instances IDs
+            # Create DataFrame column for distribcell instance IDs
             # NOTE: This is performed regardless of whether the user
             # requests Summary geometric information
             filter_bins = np.arange(self.num_bins)
             filter_bins = np.repeat(filter_bins, self.stride)
             tile_factor = data_size / len(filter_bins)
             filter_bins = np.tile(filter_bins, tile_factor)
-            filter_bins = filter_bins
             df = pd.DataFrame({self.type : filter_bins})
 
             # If OpenCG level info DataFrame was created, concatenate
@@ -731,21 +747,30 @@ class Filter(object):
 
         # energy, energyout filters
         elif 'energy' in self.type:
-            bins = self.bins
-            num_bins = self.num_bins
+            # Extract the lower and upper energy bounds, then repeat and tile
+            # them as necessary to account for other filters.
+            lo_bins = np.repeat(self.bins[:-1], self.stride)
+            hi_bins = np.repeat(self.bins[1:], self.stride)
+            tile_factor = data_size / len(lo_bins)
+            lo_bins = np.tile(lo_bins, tile_factor)
+            hi_bins = np.tile(hi_bins, tile_factor)
 
-            # Create strings for
-            template = '({0:.1e} - {1:.1e})'
-            filter_bins = []
-            for i in range(num_bins):
-                filter_bins.append(template.format(bins[i], bins[i+1]))
+            # Add the new energy columns to the DataFrame.
+            df.loc[:, self.type + ' low [MeV]'] = lo_bins
+            df.loc[:, self.type + ' high [MeV]'] = hi_bins
 
-            # Tile the energy bins into a DataFrame column
-            filter_bins = np.repeat(filter_bins, self.stride)
-            tile_factor = data_size / len(filter_bins)
-            filter_bins = np.tile(filter_bins, tile_factor)
-            filter_bins = filter_bins
-            df = pd.concat([df, pd.DataFrame({self.type + ' [MeV]' : filter_bins})])
+        elif self.type in ('azimuthal', 'polar'):
+            # Extract the lower and upper angle bounds, then repeat and tile
+            # them as necessary to account for other filters.
+            lo_bins = np.repeat(self.bins[:-1], self.stride)
+            hi_bins = np.repeat(self.bins[1:], self.stride)
+            tile_factor = data_size / len(lo_bins)
+            lo_bins = np.tile(lo_bins, tile_factor)
+            hi_bins = np.tile(hi_bins, tile_factor)
+
+            # Add the new angle columns to the DataFrame.
+            df.loc[:, self.type + ' low'] = lo_bins
+            df.loc[:, self.type + ' high'] = hi_bins
 
         # universe, material, surface, cell, and cellborn filters
         else:
diff --git a/openmc/geometry.py b/openmc/geometry.py
index e848e0cddf..14fd48fb1e 100644
--- a/openmc/geometry.py
+++ b/openmc/geometry.py
@@ -2,10 +2,12 @@ from collections import OrderedDict
 from xml.etree import ElementTree as ET
 
 import openmc
-from openmc.clean_xml import *
+from openmc.clean_xml import sort_xml_elements, clean_xml_indentation
 from openmc.checkvalue import check_type
 
+
 def reset_auto_ids():
+    """Reset counters for all auto-generated IDs"""
     openmc.reset_auto_material_id()
     openmc.reset_auto_surface_id()
     openmc.reset_auto_cell_id()
@@ -15,17 +17,23 @@ def reset_auto_ids():
 class Geometry(object):
     """Geometry representing a collection of surfaces, cells, and universes.
 
+    Parameters
+    ----------
+    root_universe : openmc.Universe, optional
+        Root universe which contains all others
+
     Attributes
     ----------
-    root_universe : openmc.universe.Universe
+    root_universe : openmc.Universe
         Root universe which contains all others
 
     """
 
-    def __init__(self):
-        # Initialize Geometry class attributes
+    def __init__(self, root_universe=None):
         self._root_universe = None
         self._offsets = {}
+        if root_universe is not None:
+            self.root_universe = root_universe
 
     @property
     def root_universe(self):
@@ -34,18 +42,56 @@ class Geometry(object):
     @root_universe.setter
     def root_universe(self, root_universe):
         check_type('root universe', root_universe, openmc.Universe)
-        if root_universe._id != 0:
+        if root_universe.id != 0:
             msg = 'Unable to add root Universe "{0}" to Geometry since ' \
                   'it has ID="{1}" instead of ' \
-                  'ID=0'.format(root_universe, root_universe._id)
+                  'ID=0'.format(root_universe, root_universe.id)
             raise ValueError(msg)
 
         self._root_universe = root_universe
 
-    def get_offset(self, path, filter_offset):
-        """Returns the corresponding location in the results array for a given path and
-        filter number. This is primarily intended to post-processing result when
-        a distribcell filter is used.
+    def export_to_xml(self):
+        """Create a geometry.xml file that can be used for a simulation.
+
+        """
+
+        # Clear OpenMC written IDs used to optimize XML generation
+        openmc.universe.WRITTEN_IDS = {}
+
+        # Create XML representation
+        geometry_file = ET.Element("geometry")
+        self.root_universe.create_xml_subelement(geometry_file)
+
+        # Clean the indentation in the file to be user-readable
+        sort_xml_elements(geometry_file)
+        clean_xml_indentation(geometry_file)
+
+        # Write the XML Tree to the geometry.xml file
+        tree = ET.ElementTree(geometry_file)
+        tree.write("geometry.xml", xml_declaration=True, encoding='utf-8',
+                   method="xml")
+
+    def find(self, point):
+        """Find cells/universes/lattices which contain a given point
+
+        Parameters
+        ----------
+        point : 3-tuple of float
+            Cartesian coordinates of the point
+
+        Returns
+        -------
+        list
+            Sequence of universes, cells, and lattices which are traversed to
+            find the given point
+
+        """
+        return self.root_universe.find(point)
+
+    def get_cell_instance(self, path):
+        """Return the instance number for the final cell in a geometry path.
+
+        The instance is an index into tally distribcell filter arrays.
 
         Parameters
         ----------
@@ -55,24 +101,37 @@ class Geometry(object):
             lattice passed through. For the case of the lattice, a tuple should
             be provided to indicate which coordinates in the lattice should be
             entered. This should be in the form: (lat_id, i_x, i_y, i_z)
-        filter_offset : int
-            An integer that specifies which offset map the filter is using
 
         Returns
         -------
-        offset : int
-            Location in the results array for the path and filter
+        instance : int
+            Index in tally results array for distribcell filters
 
         """
 
+        # Extract the cell id from the path
+        last_index = path.rfind('>')
+        cell_id = int(path[last_index+1:])
+
+        # Find the distribcell index of the cell.
+        cells = self.get_all_cells()
+        for cell in cells:
+            if cell.id == cell_id:
+                distribcell_index = cell.distribcell_index
+                break
+        else:
+            raise RuntimeError('Could not find cell {} specified in a \
+                                distribcell filter'.format(cell_id))
+
         # Return memoize'd offset if possible
-        if (path, filter_offset) in self._offsets:
-            offset = self._offsets[(path, filter_offset)]
+        if (path, distribcell_index) in self._offsets:
+            offset = self._offsets[(path, distribcell_index)]
 
         # Begin recursive call to compute offset starting with the base Universe
         else:
-            offset = self._root_universe.get_offset(path, filter_offset)
-            self._offsets[(path, filter_offset)] = offset
+            offset = self._root_universe.get_cell_instance(path,
+                                                           distribcell_index)
+            self._offsets[(path, distribcell_index)] = offset
 
         # Return the final offset
         return offset
@@ -82,31 +141,37 @@ class Geometry(object):
 
         Returns
         -------
-        list of openmc.universe.Cell
+        list of openmc.Cell
             Cells in the geometry
 
         """
 
-        return self._root_universe.get_all_cells()
+        all_cells = self.root_universe.get_all_cells()
+        cells = list(set(all_cells.values()))
+        cells.sort(key=lambda x: x.id)
+        return cells
 
     def get_all_universes(self):
         """Return all universes defined
 
         Returns
         -------
-        list of openmc.universe.Universe
+        list of openmc.Universe
             Universes in the geometry
 
         """
 
-        return self._root_universe.get_all_universes()
+        all_universes = self._root_universe.get_all_universes()
+        universes = list(set(all_universes.values()))
+        universes.sort(key=lambda x: x.id)
+        return universes
 
     def get_all_nuclides(self):
         """Return all nuclides assigned to a material in the geometry
 
         Returns
         -------
-        list of openmc.nuclide.Nuclide
+        list of openmc.Nuclide
             Nuclides in the geometry
 
         """
@@ -124,30 +189,44 @@ class Geometry(object):
 
         Returns
         -------
-        list of openmc.material.Material
+        list of openmc.Material
             Materials in the geometry
 
         """
 
         material_cells = self.get_all_material_cells()
-        materials = set()
+        materials = []
 
         for cell in material_cells:
-            materials.add(cell._fill)
+            if cell.fill_type == 'distribmat':
+                for m in cell.fill:
+                    if m is not None and m not in materials:
+                        materials.append(m)
+            elif cell.fill_type == 'material':
+                if cell.fill not in materials:
+                    materials.append(cell.fill)
 
-        materials = list(materials)
         materials.sort(key=lambda x: x.id)
         return materials
 
     def get_all_material_cells(self):
+        """Return all cells filled by a material
+
+        Returns
+        -------
+        list of openmc.Cell
+            Cells filled by Materials in the geometry
+
+        """
+
         all_cells = self.get_all_cells()
-        material_cells = set()
+        material_cells = []
 
-        for cell_id, cell in all_cells.items():
-            if cell._type == 'normal':
-                material_cells.add(cell)
+        for cell in all_cells:
+            if cell.fill_type in ('material', 'distribmat'):
+                if cell not in material_cells:
+                    material_cells.append(cell)
 
-        material_cells = list(material_cells)
         material_cells.sort(key=lambda x: x.id)
         return material_cells
 
@@ -156,69 +235,241 @@ class Geometry(object):
 
         Returns
         -------
-        list of openmc.universe.Universe
+        list of openmc.Universe
             Universes with non-fill cells
 
         """
 
         all_universes = self.get_all_universes()
-        material_universes = set()
+        material_universes = []
 
-        for universe_id, universe in all_universes.items():
-            cells = universe._cells
-            for cell_id, cell in cells.items():
-                if cell._type == 'normal':
-                    material_universes.add(universe)
+        for universe in all_universes:
+            cells = universe.cells
+            for cell in cells:
+                if cell.fill_type in ('material', 'distribmat', 'void'):
+                    if universe not in material_universes:
+                        material_universes.append(universe)
 
-        material_universes = list(material_universes)
         material_universes.sort(key=lambda x: x.id)
         return material_universes
 
+    def get_all_lattices(self):
+        """Return all lattices defined
 
-class GeometryFile(object):
-    """Geometry file used for an OpenMC simulation. Corresponds directly to the
-    geometry.xml input file.
-
-    Attributes
-    ----------
-    geometry : Geometry
-        The geometry to be used
-
-    """
-
-    def __init__(self):
-        # Initialize GeometryFile class attributes
-        self._geometry = None
-        self._geometry_file = ET.Element("geometry")
-
-    @property
-    def geometry(self):
-        return self._geometry
-
-    @geometry.setter
-    def geometry(self, geometry):
-        check_type('the geometry', geometry, Geometry)
-        self._geometry = geometry
-
-    def export_to_xml(self):
-        """Create a geometry.xml file that can be used for a simulation.
+        Returns
+        -------
+        list of openmc.Lattice
+            Lattices in the geometry
 
         """
 
-        # Clear OpenMC written IDs used to optimize XML generation
-        openmc.universe.WRITTEN_IDS = {}
+        cells = self.get_all_cells()
+        lattices = []
 
-        # Reset xml element tree
-        self._geometry_file.clear()
+        for cell in cells:
+            if cell.fill_type == 'lattice':
+                if cell.fill not in lattices:
+                    lattices.append(cell.fill)
 
-        root_universe = self.geometry.root_universe
-        root_universe.create_xml_subelement(self._geometry_file)
+        lattices.sort(key=lambda x: x.id)
+        return lattices
 
-        # Clean the indentation in the file to be user-readable
-        sort_xml_elements(self._geometry_file)
-        clean_xml_indentation(self._geometry_file)
+    def get_materials_by_name(self, name, case_sensitive=False, matching=False):
+        """Return a list of materials with matching names.
 
-        # Write the XML Tree to the geometry.xml file
-        tree = ET.ElementTree(self._geometry_file)
-        tree.write("geometry.xml", xml_declaration=True,
-                             encoding='utf-8', method="xml")
+        Parameters
+        ----------
+        name : str
+            The name to match
+        case_sensitive : bool
+            Whether to distinguish upper and lower case letters in each
+            material's name (default is False)
+        matching : bool
+            Whether the names must match completely (default is False)
+
+        Returns
+        -------
+        list of openmc.Material
+            Materials matching the queried name
+
+        """
+
+        if not case_sensitive:
+            name = name.lower()
+
+        all_materials = self.get_all_materials()
+        materials = set()
+
+        for material in all_materials:
+            material_name = material.name
+            if not case_sensitive:
+                material_name = material_name.lower()
+
+            if material_name == name:
+                materials.add(material)
+            elif not matching and name in material_name:
+                materials.add(material)
+
+        materials = list(materials)
+        materials.sort(key=lambda x: x.id)
+        return materials
+
+    def get_cells_by_name(self, name, case_sensitive=False, matching=False):
+        """Return a list of cells with matching names.
+
+        Parameters
+        ----------
+        name : str
+            The name to search match
+        case_sensitive : bool
+            Whether to distinguish upper and lower case letters in each
+            cell's name (default is False)
+        matching : bool
+            Whether the names must match completely (default is False)
+
+        Returns
+        -------
+        list of openmc.Cell
+            Cells matching the queried name
+
+        """
+
+        if not case_sensitive:
+            name = name.lower()
+
+        all_cells = self.get_all_cells()
+        cells = set()
+
+        for cell in all_cells:
+            cell_name = cell.name
+            if not case_sensitive:
+                cell_name = cell_name.lower()
+
+            if cell_name == name:
+                cells.add(cell)
+            elif not matching and name in cell_name:
+                cells.add(cell)
+
+        cells = list(cells)
+        cells.sort(key=lambda x: x.id)
+        return cells
+
+    def get_cells_by_fill_name(self, name, case_sensitive=False, matching=False):
+        """Return a list of cells with fills with matching names.
+
+        Parameters
+        ----------
+        name : str
+            The name to match
+        case_sensitive : bool
+            Whether to distinguish upper and lower case letters in each
+            cell's name (default is False)
+        matching : bool
+            Whether the names must match completely (default is False)
+
+        Returns
+        -------
+        list of openmc.Cell
+            Cells with fills matching the queried name
+
+        """
+
+        if not case_sensitive:
+            name = name.lower()
+
+        all_cells = self.get_all_cells()
+        cells = set()
+
+        for cell in all_cells:
+            cell_fill_name = cell.fill.name
+            if not case_sensitive:
+                cell_fill_name = cell_fill_name.lower()
+
+            if cell_fill_name == name:
+                cells.add(cell)
+            elif not matching and name in cell_fill_name:
+                cells.add(cell)
+
+        cells = list(cells)
+        cells.sort(key=lambda x: x.id)
+        return cells
+
+    def get_universes_by_name(self, name, case_sensitive=False, matching=False):
+        """Return a list of universes with matching names.
+
+        Parameters
+        ----------
+        name : str
+            The name to match
+        case_sensitive : bool
+            Whether to distinguish upper and lower case letters in each
+            universe's name (default is False)
+        matching : bool
+            Whether the names must match completely (default is False)
+
+        Returns
+        -------
+        list of openmc.Universe
+            Universes matching the queried name
+
+        """
+
+        if not case_sensitive:
+            name = name.lower()
+
+        all_universes = self.get_all_universes()
+        universes = set()
+
+        for universe in all_universes:
+            universe_name = universe.name
+            if not case_sensitive:
+                universe_name = universe_name.lower()
+
+            if universe_name == name:
+                universes.add(universe)
+            elif not matching and name in universe_name:
+                universes.add(universe)
+
+        universes = list(universes)
+        universes.sort(key=lambda x: x.id)
+        return universes
+
+    def get_lattices_by_name(self, name, case_sensitive=False, matching=False):
+        """Return a list of lattices with matching names.
+
+        Parameters
+        ----------
+        name : str
+            The name to match
+        case_sensitive : bool
+            Whether to distinguish upper and lower case letters in each
+            lattice's name (default is False)
+        matching : bool
+            Whether the names must match completely (default is False)
+
+        Returns
+        -------
+        list of openmc.Lattice
+            Lattices matching the queried name
+
+        """
+
+        if not case_sensitive:
+            name = name.lower()
+
+        all_lattices = self.get_all_lattices()
+        lattices = set()
+
+        for lattice in all_lattices:
+            lattice_name = lattice.name
+            if not case_sensitive:
+                lattice_name = lattice_name.lower()
+
+            if lattice_name == name:
+                lattices.add(lattice)
+            elif not matching and name in lattice_name:
+                lattices.add(lattice)
+
+        lattices = list(lattices)
+        lattices.sort(key=lambda x: x.id)
+        return lattices
diff --git a/openmc/lattice.py b/openmc/lattice.py
new file mode 100644
index 0000000000..81144e4d81
--- /dev/null
+++ b/openmc/lattice.py
@@ -0,0 +1,1327 @@
+from __future__ import division
+
+import abc
+from collections import OrderedDict, Iterable
+from math import sqrt, floor
+from numbers import Real, Integral
+from xml.etree import ElementTree as ET
+import sys
+
+import numpy as np
+
+import openmc.checkvalue as cv
+import openmc
+
+if sys.version_info[0] >= 3:
+    basestring = str
+
+
+class Lattice(object):
+    """A repeating structure wherein each element is a universe.
+
+    Parameters
+    ----------
+    lattice_id : int, optional
+        Unique identifier for the lattice. If not specified, an identifier will
+        automatically be assigned.
+    name : str, optional
+        Name of the lattice. If not specified, the name is the empty string.
+
+    Attributes
+    ----------
+    id : int
+        Unique identifier for the lattice
+    name : str
+        Name of the lattice
+    pitch : Iterable of float
+        Pitch of the lattice in each direction in cm
+    outer : openmc.Universe
+        A universe to fill all space outside the lattice
+    universes : Iterable of Iterable of openmc.Universe
+        A two- or three-dimensional list/array of universes filling each element
+        of the lattice
+
+    """
+
+    # This is an abstract class which cannot be instantiated
+    __metaclass__ = abc.ABCMeta
+
+    def __init__(self, lattice_id=None, name=''):
+        # Initialize Lattice class attributes
+        self.id = lattice_id
+        self.name = name
+        self._pitch = None
+        self._outer = None
+        self._universes = None
+
+    def __eq__(self, other):
+        if not isinstance(other, Lattice):
+            return False
+        elif self.id != other.id:
+            return False
+        elif self.name != other.name:
+            return False
+        elif self.pitch != other.pitch:
+            return False
+        elif self.outer != other.outer:
+            return False
+        elif self.universes != other.universes:
+            return False
+        else:
+            return True
+
+    def __ne__(self, other):
+        return not self == other
+
+    @property
+    def id(self):
+        return self._id
+
+    @property
+    def name(self):
+        return self._name
+
+    @property
+    def pitch(self):
+        return self._pitch
+
+    @property
+    def outer(self):
+        return self._outer
+
+    @property
+    def universes(self):
+        return self._universes
+
+    @id.setter
+    def id(self, lattice_id):
+        if lattice_id is None:
+            self._id = openmc.universe.AUTO_UNIVERSE_ID
+            openmc.universe.AUTO_UNIVERSE_ID += 1
+        else:
+            cv.check_type('lattice ID', lattice_id, Integral)
+            cv.check_greater_than('lattice ID', lattice_id, 0, equality=True)
+            self._id = lattice_id
+
+    @name.setter
+    def name(self, name):
+        if name is not None:
+            cv.check_type('lattice name', name, basestring)
+            self._name = name
+        else:
+            self._name = ''
+
+    @outer.setter
+    def outer(self, outer):
+        cv.check_type('outer universe', outer, openmc.Universe)
+        self._outer = outer
+
+    def get_unique_universes(self):
+        """Determine all unique universes in the lattice
+
+        Returns
+        -------
+        universes : collections.OrderedDict
+            Dictionary whose keys are universe IDs and values are
+            :class:`openmc.Universe` instances
+
+        """
+
+        univs = OrderedDict()
+        for k in range(len(self._universes)):
+            for j in range(len(self._universes[k])):
+                if isinstance(self._universes[k][j], openmc.Universe):
+                    u = self._universes[k][j]
+                    univs[u._id] = u
+                else:
+                    for i in range(len(self._universes[k][j])):
+                        u = self._universes[k][j][i]
+                        assert isinstance(u, openmc.Universe)
+                        univs[u._id] = u
+
+        if self.outer is not None:
+            univs[self.outer._id] = self.outer
+
+        return univs
+
+    def get_all_nuclides(self):
+        """Return all nuclides contained in the lattice
+
+        Returns
+        -------
+        nuclides : collections.OrderedDict
+            Dictionary whose keys are nuclide names and values are 2-tuples of
+            (nuclide, density)
+
+        """
+
+        nuclides = OrderedDict()
+
+        # Get all unique Universes contained in each of the lattice cells
+        unique_universes = self.get_unique_universes()
+
+        # Append all Universes containing each cell to the dictionary
+        for universe_id, universe in unique_universes.items():
+            nuclides.update(universe.get_all_nuclides())
+
+        return nuclides
+
+    def get_all_cells(self):
+        """Return all cells that are contained within the lattice
+
+        Returns
+        -------
+        cells : collections.OrderedDict
+            Dictionary whose keys are cell IDs and values are :class:`Cell`
+            instances
+
+        """
+
+        cells = OrderedDict()
+        unique_universes = self.get_unique_universes()
+
+        for universe_id, universe in unique_universes.items():
+            cells.update(universe.get_all_cells())
+
+        return cells
+
+    def get_all_materials(self):
+        """Return all materials that are contained within the lattice
+
+        Returns
+        -------
+        materials : collections.OrderedDict
+            Dictionary whose keys are material IDs and values are
+            :class:`Material` instances
+
+        """
+
+        materials = OrderedDict()
+
+        # Append all Cells in each Cell in the Universe to the dictionary
+        cells = self.get_all_cells()
+        for cell_id, cell in cells.items():
+            materials.update(cell.get_all_materials())
+
+        return materials
+
+    def get_all_universes(self):
+        """Return all universes that are contained within the lattice
+
+        Returns
+        -------
+        universes : collections.OrderedDict
+            Dictionary whose keys are universe IDs and values are
+            :class:`Universe` instances
+
+        """
+
+        # Initialize a dictionary of all Universes contained by the Lattice
+        # in each nested Universe level
+        all_universes = OrderedDict()
+
+        # Get all unique Universes contained in each of the lattice cells
+        unique_universes = self.get_unique_universes()
+
+        # Add the unique Universes filling each Lattice cell
+        all_universes.update(unique_universes)
+
+        # Append all Universes containing each cell to the dictionary
+        for universe_id, universe in unique_universes.items():
+            all_universes.update(universe.get_all_universes())
+
+        return all_universes
+
+
+class RectLattice(Lattice):
+    """A lattice consisting of rectangular prisms.
+
+    To completely define a rectangular lattice, the
+    :attr:`RectLattice.lower_left` :attr:`RectLattice.pitch`,
+    :attr:`RectLattice.outer`, and :attr:`RectLattice.universes` properties need
+    to be set.
+
+    Most methods for this class use a natural indexing scheme wherein elements
+    are assigned an index corresponding to their position relative to the
+    (x,y,z) axes in a Cartesian coordinate system, i.e., an index of (0,0,0) in
+    the lattice gives the element whose x, y, and z coordinates are the
+    smallest. However, note that when universes are assigned to lattice elements
+    using the :attr:`RectLattice.universes` property, the array indices do not
+    correspond to natural indices.
+
+    Parameters
+    ----------
+    lattice_id : int, optional
+        Unique identifier for the lattice. If not specified, an identifier will
+        automatically be assigned.
+    name : str, optional
+        Name of the lattice. If not specified, the name is the empty string.
+
+    Attributes
+    ----------
+    id : int
+        Unique identifier for the lattice
+    name : str
+        Name of the lattice
+    pitch : Iterable of float
+        Pitch of the lattice in the x, y, and (if applicable) z directions in
+        cm.
+    outer : openmc.Universe
+        A universe to fill all space outside the lattice
+    universes : Iterable of Iterable of openmc.Universe
+        A two- or three-dimensional list/array of universes filling each element
+        of the lattice. The first dimension corresponds to the z-direction (if
+        applicable), the second dimension corresponds to the y-direction, and
+        the third dimension corresponds to the x-direction. Note that for the
+        y-direction, a higher index corresponds to a lower physical
+        y-value. Each z-slice in the array can be thought of as a top-down view
+        of the lattice.
+    lower_left : Iterable of float
+        The Cartesian coordinates of the lower-left corner of the lattice. If
+        the lattice is two-dimensional, only the x- and y-coordinates are
+        specified.
+    indices : list of tuple
+        A list of all possible (z,y,x) or (y,x) lattice element indices. These
+        indices correspond to indices in the :attr:`RectLattice.universes`
+        property.
+    ndim : int
+        The number of dimensions of the lattice
+    shape : Iterable of int
+        An array of two or three integers representing the number of lattice
+        cells in the x- and y- (and z-) directions, respectively.
+
+    """
+
+    def __init__(self, lattice_id=None, name=''):
+        super(RectLattice, self).__init__(lattice_id, name)
+
+        # Initialize Lattice class attributes
+        self._lower_left = None
+        self._offsets = None
+
+    def __eq__(self, other):
+        if not isinstance(other, RectLattice):
+            return False
+        elif not super(RectLattice, self).__eq__(other):
+            return False
+        elif self.shape != other.shape:
+            return False
+        elif self.lower_left != other.lower_left:
+            return False
+        else:
+            return True
+
+    def __ne__(self, other):
+        return not self == other
+
+    def __hash__(self):
+        return hash(repr(self))
+
+    def __repr__(self):
+        string = 'RectLattice\n'
+        string += '{0: <16}{1}{2}\n'.format('\tID', '=\t', self._id)
+        string += '{0: <16}{1}{2}\n'.format('\tName', '=\t', self._name)
+        string += '{0: <16}{1}{2}\n'.format('\tShape', '=\t',
+                                            self.shape)
+        string += '{0: <16}{1}{2}\n'.format('\tLower Left', '=\t',
+                                            self._lower_left)
+        string += '{0: <16}{1}{2}\n'.format('\tPitch', '=\t', self._pitch)
+
+        if self._outer is not None:
+            string += '{0: <16}{1}{2}\n'.format('\tOuter', '=\t',
+                                                self._outer._id)
+        else:
+            string += '{0: <16}{1}{2}\n'.format('\tOuter', '=\t',
+                                                self._outer)
+
+        string += '{0: <16}\n'.format('\tUniverses')
+
+        # Lattice nested Universe IDs - column major for Fortran
+        for i, universe in enumerate(np.ravel(self._universes)):
+            string += '{0} '.format(universe._id)
+
+            # Add a newline character every time we reach end of row of cells
+            if (i+1) % self.shape[0] == 0:
+                string += '\n'
+
+        string = string.rstrip('\n')
+
+        if self._offsets is not None:
+            string += '{0: <16}\n'.format('\tOffsets')
+
+            # Lattice cell offsets
+            for i, offset in enumerate(np.ravel(self._offsets)):
+                string += '{0} '.format(offset)
+
+                # Add a newline character when we reach end of row of cells
+                if (i+1) % self.shape[0] == 0:
+                    string += '\n'
+
+            string = string.rstrip('\n')
+
+        return string
+
+    @property
+    def indices(self):
+        if self.ndim == 2:
+            return list(np.broadcast(*np.ogrid[
+                :self.shape[1], :self.shape[0]]))
+        else:
+            return list(np.broadcast(*np.ogrid[
+                :self.shape[2], :self.shape[1], :self.shape[0]]))
+
+    @property
+    def lower_left(self):
+        return self._lower_left
+
+    @property
+    def ndim(self):
+        return len(self.pitch)
+
+    @property
+    def offsets(self):
+        return self._offsets
+
+    @property
+    def shape(self):
+        return self._universes.shape[::-1]
+
+    @lower_left.setter
+    def lower_left(self, lower_left):
+        cv.check_type('lattice lower left corner', lower_left, Iterable, Real)
+        cv.check_length('lattice lower left corner', lower_left, 2, 3)
+        self._lower_left = lower_left
+
+    @offsets.setter
+    def offsets(self, offsets):
+        cv.check_type('lattice offsets', offsets, Iterable)
+        self._offsets = offsets
+
+    @Lattice.pitch.setter
+    def pitch(self, pitch):
+        cv.check_type('lattice pitch', pitch, Iterable, Real)
+        cv.check_length('lattice pitch', pitch, 2, 3)
+        for dim in pitch:
+            cv.check_greater_than('lattice pitch', dim, 0.0)
+        self._pitch = pitch
+
+    @Lattice.universes.setter
+    def universes(self, universes):
+        cv.check_iterable_type('lattice universes', universes, openmc.Universe,
+                               min_depth=2, max_depth=3)
+        self._universes = np.asarray(universes)
+
+    def get_cell_instance(self, path, distribcell_index):
+        # Extract the lattice element from the path
+        next_index = path.index('-')
+        lat_id_indices = path[:next_index]
+        path = path[next_index+2:]
+
+        # Extract the lattice cell indices from the path
+        i1 = lat_id_indices.index('(')
+        i2 = lat_id_indices.index(')')
+        i = lat_id_indices[i1+1:i2]
+        lat_x = int(i.split(',')[0]) - 1
+        lat_y = int(i.split(',')[1]) - 1
+        lat_z = int(i.split(',')[2]) - 1
+
+        # For 2D Lattices
+        if self.ndim == 2:
+            offset = self._offsets[lat_z, lat_y, lat_x, distribcell_index-1]
+            offset += self._universes[lat_x][lat_y].get_cell_instance(
+                path, distribcell_index)
+
+        # For 3D Lattices
+        else:
+            offset = self._offsets[lat_z, lat_y, lat_x, distribcell_index-1]
+            offset += self._universes[lat_z][lat_y][lat_x].get_cell_instance(
+                path, distribcell_index)
+
+        return offset
+
+    def find_element(self, point):
+        """Determine index of lattice element and local coordinates for a point
+
+        Parameters
+        ----------
+        point : Iterable of float
+            Cartesian coordinates of point
+
+        Returns
+        -------
+        2- or 3-tuple of int
+            A tuple of the corresponding (x,y,z) lattice element indices
+        3-tuple of float
+            Carestian coordinates of the point in the corresponding lattice
+            element coordinate system
+
+        """
+        ix = floor((point[0] - self.lower_left[0])/self.pitch[0])
+        iy = floor((point[1] - self.lower_left[1])/self.pitch[1])
+        if self.ndim == 2:
+            idx = (ix, iy)
+        else:
+            iz = floor((point[2] - self.lower_left[2])/self.pitch[2])
+            idx = (ix, iy, iz)
+        return idx, self.get_local_coordinates(point, idx)
+
+    def get_local_coordinates(self, point, idx):
+        """Determine local coordinates of a point within a lattice element
+
+        Parameters
+        ----------
+        point : Iterable of float
+            Cartesian coordinates of point
+        idx : Iterable of int
+            (x,y,z) indices of lattice element. If the lattice is 2D, the z
+            index can be omitted.
+
+        Returns
+        -------
+        3-tuple of float
+            Cartesian coordinates of point in the lattice element coordinate
+            system
+
+        """
+        x = point[0] - (self.lower_left[0] + (idx[0] + 0.5)*self.pitch[0])
+        y = point[1] - (self.lower_left[1] + (idx[1] + 0.5)*self.pitch[1])
+        if self.ndim == 2:
+            z = point[2]
+        else:
+            z = point[2] - (self.lower_left[2] + (idx[2] + 0.5)*self.pitch[2])
+        return (x, y, z)
+
+    def get_universe_index(self, idx):
+        """Return index in the universes array corresponding to a lattice element index
+
+        Parameters
+        ----------
+        idx : Iterable of int
+            Lattice element indices in the :math:`(x,y,z)` coordinate system
+
+        Returns
+        -------
+        2- or 3-tuple of int
+            Indices used when setting the :attr:`RectLattice.universes` property
+
+        """
+        max_y = self.shape[1] - 1
+        if self.ndim == 2:
+            x, y = idx
+            return (max_y - y, x)
+        else:
+            x, y, z = idx
+            return (z, max_y - y, x)
+
+    def is_valid_index(self, idx):
+        """Determine whether lattice element index is within defined range
+
+        Parameters
+        ----------
+        idx : Iterable of int
+            Lattice element indices in the :math:`(x,y,z)` coordinate system
+
+        Returns
+        -------
+        bool
+            Whether index is valid
+
+        """
+        if self.ndim == 2:
+            return (0 <= idx[0] < self.shape[0] and
+                    0 <= idx[1] < self.shape[1])
+        else:
+            return (0 <= idx[0] < self.shape[0] and
+                    0 <= idx[1] < self.shape[1] and
+                    0 <= idx[2] < self.shape[2])
+
+    def find(self, point):
+        """Find cells/universes/lattices which contain a given point
+
+        Parameters
+        ----------
+        point : 3-tuple of float
+            Cartesian coordinatesof the point
+
+        Returns
+        -------
+        list
+            Sequence of universes, cells, and lattices which are traversed to
+            find the given point
+
+        """
+        idx, p = self.find_element(point)
+        if self.is_valid_index(idx):
+            idx_u = self.get_universe_index(idx)
+            u = self.universes[idx_u]
+        else:
+            if self.outer is not None:
+                u = self.outer
+            else:
+                return []
+        return [(self, idx)] + u.find(p)
+
+    def create_xml_subelement(self, xml_element):
+
+        # Determine if XML element already contains subelement for this Lattice
+        path = './lattice[@id=\'{0}\']'.format(self._id)
+        test = xml_element.find(path)
+
+        # If the element does contain the Lattice subelement, then return
+        if test is not None:
+            return
+
+        lattice_subelement = ET.Element("lattice")
+        lattice_subelement.set("id", str(self._id))
+
+        if len(self._name) > 0:
+            lattice_subelement.set("name", str(self._name))
+
+        # Export the Lattice cell pitch
+        pitch = ET.SubElement(lattice_subelement, "pitch")
+        pitch.text = ' '.join(map(str, self._pitch))
+
+        # Export the Lattice outer Universe (if specified)
+        if self._outer is not None:
+            outer = ET.SubElement(lattice_subelement, "outer")
+            outer.text = '{0}'.format(self._outer._id)
+            self._outer.create_xml_subelement(xml_element)
+
+        # Export Lattice cell dimensions
+        dimension = ET.SubElement(lattice_subelement, "dimension")
+        dimension.text = ' '.join(map(str, self.shape))
+
+        # Export Lattice lower left
+        lower_left = ET.SubElement(lattice_subelement, "lower_left")
+        lower_left.text = ' '.join(map(str, self._lower_left))
+
+        # Export the Lattice nested Universe IDs - column major for Fortran
+        universe_ids = '\n'
+
+        # 3D Lattices
+        if self.ndim == 3:
+            for z in range(self.shape[2]):
+                for y in range(self.shape[1]):
+                    for x in range(self.shape[0]):
+                        universe = self._universes[z][y][x]
+
+                        # Append Universe ID to the Lattice XML subelement
+                        universe_ids += '{0} '.format(universe._id)
+
+                        # Create XML subelement for this Universe
+                        universe.create_xml_subelement(xml_element)
+
+                    # Add newline character when we reach end of row of cells
+                    universe_ids += '\n'
+
+                # Add newline character when we reach end of row of cells
+                universe_ids += '\n'
+
+        # 2D Lattices
+        else:
+            for y in range(self.shape[1]):
+                for x in range(self.shape[0]):
+                    universe = self._universes[y][x]
+
+                    # Append Universe ID to Lattice XML subelement
+                    universe_ids += '{0} '.format(universe._id)
+
+                    # Create XML subelement for this Universe
+                    universe.create_xml_subelement(xml_element)
+
+                # Add newline character when we reach end of row of cells
+                universe_ids += '\n'
+
+        # Remove trailing newline character from Universe IDs string
+        universe_ids = universe_ids.rstrip('\n')
+
+        universes = ET.SubElement(lattice_subelement, "universes")
+        universes.text = universe_ids
+
+        # Append the XML subelement for this Lattice to the XML element
+        xml_element.append(lattice_subelement)
+
+
+class HexLattice(Lattice):
+    r"""A lattice consisting of hexagonal prisms.
+
+    To completely define a hexagonal lattice, the :attr:`HexLattice.center`,
+    :attr:`HexLattice.pitch`, :attr:`HexLattice.universes`, and
+    :attr:`HexLattice.outer` properties need to be set.
+
+    Most methods for this class use a natural indexing scheme wherein elements
+    are assigned an index corresponding to their position relative to skewed
+    :math:`(x,\alpha,z)` axes as described fully in
+    :ref:`hexagonal_indexing`. However, note that when universes are assigned to
+    lattice elements using the :attr:`HexLattice.universes` property, the array
+    indices do not correspond to natural indices.
+
+    Parameters
+    ----------
+    lattice_id : int, optional
+        Unique identifier for the lattice. If not specified, an identifier will
+        automatically be assigned.
+    name : str, optional
+        Name of the lattice. If not specified, the name is the empty string.
+
+    Attributes
+    ----------
+    id : int
+        Unique identifier for the lattice
+    name : str
+        Name of the lattice
+    pitch : Iterable of float
+        Pitch of the lattice in cm. The first item in the iterable specifies the
+        pitch in the radial direction and, if the lattice is 3D, the second item
+        in the iterable specifies the pitch in the axial direction.
+    outer : openmc.Universe
+        A universe to fill all space outside the lattice
+    universes : Nested Iterable of openmc.Universe
+        A two- or three-dimensional list/array of universes filling each element
+        of the lattice. Each sub-list corresponds to one ring of universes and
+        should be ordered from outermost ring to innermost ring. The universes
+        within each sub-list are ordered from the "top" and proceed in a
+        clockwise fashion. The :meth:`HexLattice.show_indices` method can be
+        used to help figure out indices for this property.
+    center : Iterable of float
+        Coordinates of the center of the lattice. If the lattice does not have
+        axial sections then only the x- and y-coordinates are specified
+    indices : list of tuple
+        A list of all possible (z,r,i) or (r,i) lattice element indices that are
+        possible, where z is the axial index, r is in the ring index (starting
+        from the outermost ring), and i is the index with a ring starting from
+        the top and proceeding clockwise.
+    num_rings : int
+        Number of radial ring positions in the xy-plane
+    num_axial : int
+        Number of positions along the z-axis.
+
+    """
+
+    def __init__(self, lattice_id=None, name=''):
+        super(HexLattice, self).__init__(lattice_id, name)
+
+        # Initialize Lattice class attributes
+        self._num_rings = None
+        self._num_axial = None
+        self._center = None
+
+    def __eq__(self, other):
+        if not isinstance(other, HexLattice):
+            return False
+        elif not super(HexLattice, self).__eq__(other):
+            return False
+        elif self.num_rings != other.num_rings:
+            return False
+        elif self.num_axial != other.num_axial:
+            return False
+        elif self.center != other.center:
+            return False
+        else:
+            return True
+
+    def __ne__(self, other):
+        return not self == other
+
+    def __hash__(self):
+        return hash(repr(self))
+
+    def __repr__(self):
+        string = 'HexLattice\n'
+        string += '{0: <16}{1}{2}\n'.format('\tID', '=\t', self._id)
+        string += '{0: <16}{1}{2}\n'.format('\tName', '=\t', self._name)
+        string += '{0: <16}{1}{2}\n'.format('\t# Rings', '=\t', self._num_rings)
+        string += '{0: <16}{1}{2}\n'.format('\t# Axial', '=\t', self._num_axial)
+        string += '{0: <16}{1}{2}\n'.format('\tCenter', '=\t',
+                                            self._center)
+        string += '{0: <16}{1}{2}\n'.format('\tPitch', '=\t', self._pitch)
+
+        if self._outer is not None:
+            string += '{0: <16}{1}{2}\n'.format('\tOuter', '=\t',
+                                                self._outer._id)
+        else:
+            string += '{0: <16}{1}{2}\n'.format('\tOuter', '=\t',
+                                                self._outer)
+
+        string += '{0: <16}\n'.format('\tUniverses')
+
+        if self._num_axial is not None:
+            slices = [self._repr_axial_slice(x) for x in self._universes]
+            string += '\n'.join(slices)
+
+        else:
+            string += self._repr_axial_slice(self._universes)
+
+        return string
+
+    @property
+    def num_rings(self):
+        return self._num_rings
+
+    @property
+    def num_axial(self):
+        return self._num_axial
+
+    @property
+    def center(self):
+        return self._center
+
+    @property
+    def indices(self):
+        if self.num_axial is None:
+            return [(r, i) for r in range(self.num_rings)
+                    for i in range(max(6*(self.num_rings - 1 - r), 1))]
+        else:
+            return [(z, r, i) for z in range(self.num_axial)
+                    for r in range(self.num_rings)
+                    for i in range(max(6*(self.num_rings - 1 - r), 1))]
+
+    @center.setter
+    def center(self, center):
+        cv.check_type('lattice center', center, Iterable, Real)
+        cv.check_length('lattice center', center, 2, 3)
+        self._center = center
+
+    @Lattice.pitch.setter
+    def pitch(self, pitch):
+        cv.check_type('lattice pitch', pitch, Iterable, Real)
+        cv.check_length('lattice pitch', pitch, 1, 2)
+        for dim in pitch:
+            cv.check_greater_than('lattice pitch', dim, 0)
+        self._pitch = pitch
+
+    @Lattice.universes.setter
+    def universes(self, universes):
+        cv.check_iterable_type('lattice universes', universes, openmc.Universe,
+                               min_depth=2, max_depth=3)
+        self._universes = universes
+
+        # NOTE: This routine assumes that the user creates a "ragged" list of
+        # lists, where each sub-list corresponds to one ring of Universes.
+        # The sub-lists are ordered from outermost ring to innermost ring.
+        # The Universes within each sub-list are ordered from the "top" in a
+        # clockwise fashion.
+
+        # Check to see if the given universes look like a 2D or a 3D array.
+        if isinstance(self._universes[0][0], openmc.Universe):
+            n_dims = 2
+
+        elif isinstance(self._universes[0][0][0], openmc.Universe):
+            n_dims = 3
+
+        else:
+            msg = 'HexLattice ID={0:d} does not appear to be either 2D or ' \
+                  '3D.  Make sure set_universes was given a two-deep or ' \
+                  'three-deep iterable of universes.'.format(self._id)
+            raise RuntimeError(msg)
+
+        # Set the number of axial positions.
+        if n_dims == 3:
+            self._num_axial = len(self._universes)
+        else:
+            self._num_axial = None
+
+        # Set the number of rings and make sure this number is consistent for
+        # all axial positions.
+        if n_dims == 3:
+            self._num_rings = len(self._universes[0])
+            for rings in self._universes:
+                if len(rings) != self._num_rings:
+                    msg = 'HexLattice ID={0:d} has an inconsistent number of ' \
+                          'rings per axial positon'.format(self._id)
+                    raise ValueError(msg)
+
+        else:
+            self._num_rings = len(self._universes)
+
+        # Make sure there are the correct number of elements in each ring.
+        if n_dims == 3:
+            for axial_slice in self._universes:
+                # Check the center ring.
+                if len(axial_slice[-1]) != 1:
+                    msg = 'HexLattice ID={0:d} has the wrong number of ' \
+                          'elements in the innermost ring.  Only 1 element is ' \
+                          'allowed in the innermost ring.'.format(self._id)
+                    raise ValueError(msg)
+
+                # Check the outer rings.
+                for r in range(self._num_rings-1):
+                    if len(axial_slice[r]) != 6*(self._num_rings - 1 - r):
+                        msg = 'HexLattice ID={0:d} has the wrong number of ' \
+                              'elements in ring number {1:d} (counting from the '\
+                              'outermost ring).  This ring should have {2:d} ' \
+                              'elements.'.format(self._id, r,
+                                                 6*(self._num_rings - 1 - r))
+                        raise ValueError(msg)
+
+        else:
+            axial_slice = self._universes
+            # Check the center ring.
+            if len(axial_slice[-1]) != 1:
+                msg = 'HexLattice ID={0:d} has the wrong number of ' \
+                      'elements in the innermost ring.  Only 1 element is ' \
+                      'allowed in the innermost ring.'.format(self._id)
+                raise ValueError(msg)
+
+            # Check the outer rings.
+            for r in range(self._num_rings-1):
+                if len(axial_slice[r]) != 6*(self._num_rings - 1 - r):
+                    msg = 'HexLattice ID={0:d} has the wrong number of ' \
+                          'elements in ring number {1:d} (counting from the '\
+                          'outermost ring).  This ring should have {2:d} ' \
+                          'elements.'.format(self._id, r,
+                                             6*(self._num_rings - 1 - r))
+                    raise ValueError(msg)
+
+    def find_element(self, point):
+        r"""Determine index of lattice element and local coordinates for a point
+
+        Parameters
+        ----------
+        point : Iterable of float
+            Cartesian coordinates of point
+
+        Returns
+        -------
+        3-tuple of int
+            Indices of corresponding lattice element in :math:`(x,\alpha,z)`
+            bases
+        numpy.ndarray
+            Carestian coordinates of the point in the corresponding lattice
+            element coordinate system
+
+        """
+        # Convert coordinates to skewed bases
+        x = point[0] - self.center[0]
+        y = point[1] - self.center[1]
+        if self._num_axial is None:
+            iz = 1
+        else:
+            z = point[2] - self.center[2]
+            iz = floor(z/self.pitch[1] + 0.5*self.num_axial)
+        alpha = y - x/sqrt(3.)
+        ix = floor(x/(sqrt(0.75) * self.pitch[0]))
+        ia = floor(alpha/self.pitch[0])
+
+        # Check four lattice elements to see which one is closest based on local
+        # coordinates
+        d_min = np.inf
+        for idx in [(ix, ia, iz), (ix + 1, ia, iz), (ix, ia + 1, iz),
+                    (ix + 1, ia + 1, iz)]:
+            p = self.get_local_coordinates(point, idx)
+            d = p[0]**2 + p[1]**2
+            if d < d_min:
+                d_min = d
+                idx_min = idx
+                p_min = p
+
+        return idx_min, p_min
+
+    def get_local_coordinates(self, point, idx):
+        r"""Determine local coordinates of a point within a lattice element
+
+        Parameters
+        ----------
+        point : Iterable of float
+            Cartesian coordinates of point
+        idx : Iterable of int
+            Indices of lattice element in :math:`(x,\alpha,z)` bases
+
+        Returns
+        -------
+        3-tuple of float
+            Cartesian coordinates of point in the lattice element coordinate
+            system
+
+        """
+        x = point[0] - (self.center[0] + sqrt(0.75)*self.pitch[0]*idx[0])
+        y = point[1] - (self.center[1] + (0.5*idx[0] + idx[1])*self.pitch[0])
+        if self._num_axial is None:
+            z = point[2]
+        else:
+            z = point[2] - (self.center[2] + (idx[2] + 0.5 - 0.5*self.num_axial)*
+                            self.pitch[1])
+        return (x, y, z)
+
+    def get_universe_index(self, idx):
+        r"""Return index in the universes array corresponding to a lattice element index
+
+        Parameters
+        ----------
+        idx : Iterable of int
+            Lattice element indices in the :math:`(x,\alpha,z)` coordinate
+            system
+
+        Returns
+        -------
+        2- or 3-tuple of int
+            Indices used when setting the :attr:`HexLattice.universes` property
+
+        """
+
+        # First we determine which ring the index corresponds to.
+        x = idx[0]
+        a = idx[1]
+        z = -a - x
+        g = max(abs(x), abs(a), abs(z))
+
+        # Next we use a clever method to figure out where along the ring we are.
+        i_ring = self._num_rings - 1 - g
+        if x >= 0:
+            if a >= 0:
+                i_within = x
+            else:
+                i_within = 2*g + z
+        else:
+            if a <= 0:
+                i_within = 3*g - x
+            else:
+                i_within = 5*g - z
+
+        if self.num_axial is None:
+            return (i_ring, i_within)
+        else:
+            return (idx[2], i_ring, i_within)
+
+    def is_valid_index(self, idx):
+        r"""Determine whether lattice element index is within defined range
+
+        Parameters
+        ----------
+        idx : Iterable of int
+            Lattice element indices in the :math:`(x,\alpha,z)` coordinate
+            system
+
+        Returns
+        -------
+        bool
+            Whether index is valid
+
+        """
+        x = idx[0]
+        y = idx[1]
+        z = 0 - y - x
+        g = max(abs(x), abs(y), abs(z))
+        if self.num_axial is None:
+            return g < self.num_rings
+        else:
+            return g < self.num_rings and 0 <= idx[2] < self.num_axial
+
+    def find(self, point):
+        """Find cells/universes/lattices which contain a given point
+
+        Parameters
+        ----------
+        point : 3-tuple of float
+            Cartesian coordinatesof the point
+
+        Returns
+        -------
+        list
+            Sequence of universes, cells, and lattices which are traversed to
+            find the given point
+
+        """
+        idx, p = self.find_element(point)
+        if self.is_valid_index(idx):
+            idx_u = self.get_universe_index(idx)
+            if self.num_axial is None:
+                u = self.universes[idx_u[0]][idx_u[1]]
+            else:
+                u = self.universes[idx_u[0]][idx_u[1]][idx_u[2]]
+        else:
+            if self.outer is not None:
+                u = self.outer
+            else:
+                return []
+
+        return [(self, idx)] + u.find(p)
+
+    def create_xml_subelement(self, xml_element):
+        # Determine if XML element already contains subelement for this Lattice
+        path = './hex_lattice[@id=\'{0}\']'.format(self._id)
+        test = xml_element.find(path)
+
+        # If the element does contain the Lattice subelement, then return
+        if test is not None:
+            return
+
+        lattice_subelement = ET.Element("hex_lattice")
+        lattice_subelement.set("id", str(self._id))
+
+        if len(self._name) > 0:
+            lattice_subelement.set("name", str(self._name))
+
+        # Export the Lattice cell pitch
+        pitch = ET.SubElement(lattice_subelement, "pitch")
+        pitch.text = ' '.join(map(str, self._pitch))
+
+        # Export the Lattice outer Universe (if specified)
+        if self._outer is not None:
+            outer = ET.SubElement(lattice_subelement, "outer")
+            outer.text = '{0}'.format(self._outer._id)
+            self._outer.create_xml_subelement(xml_element)
+
+        lattice_subelement.set("n_rings", str(self._num_rings))
+
+        if self._num_axial is not None:
+            lattice_subelement.set("n_axial", str(self._num_axial))
+
+        # Export Lattice cell center
+        center = ET.SubElement(lattice_subelement, "center")
+        center.text = ' '.join(map(str, self._center))
+
+        # Export the Lattice nested Universe IDs.
+
+        # 3D Lattices
+        if self._num_axial is not None:
+            slices = []
+            for z in range(self._num_axial):
+                # Initialize the center universe.
+                universe = self._universes[z][-1][0]
+                universe.create_xml_subelement(xml_element)
+
+                # Initialize the remaining universes.
+                for r in range(self._num_rings-1):
+                    for theta in range(6*(self._num_rings - 1 - r)):
+                        universe = self._universes[z][r][theta]
+                        universe.create_xml_subelement(xml_element)
+
+                # Get a string representation of the universe IDs.
+                slices.append(self._repr_axial_slice(self._universes[z]))
+
+            # Collapse the list of axial slices into a single string.
+            universe_ids = '\n'.join(slices)
+
+        # 2D Lattices
+        else:
+            # Initialize the center universe.
+            universe = self._universes[-1][0]
+            universe.create_xml_subelement(xml_element)
+
+            # Initialize the remaining universes.
+            for r in range(self._num_rings - 1):
+                for theta in range(6*(self._num_rings - 1 - r)):
+                    universe = self._universes[r][theta]
+                    universe.create_xml_subelement(xml_element)
+
+            # Get a string representation of the universe IDs.
+            universe_ids = self._repr_axial_slice(self._universes)
+
+        universes = ET.SubElement(lattice_subelement, "universes")
+        universes.text = '\n' + universe_ids
+
+        # Append the XML subelement for this Lattice to the XML element
+        xml_element.append(lattice_subelement)
+
+    def _repr_axial_slice(self, universes):
+        """Return string representation for the given 2D group of universes.
+
+        The 'universes' argument should be a list of lists of universes where
+        each sub-list represents a single ring.  The first list should be the
+        outer ring.
+        """
+
+        # Find the largest universe ID and count the number of digits so we can
+        # properly pad the output string later.
+        largest_id = max([max([univ._id for univ in ring])
+                          for ring in universes])
+        n_digits = len(str(largest_id))
+        pad = ' '*n_digits
+        id_form = '{: ^' + str(n_digits) + 'd}'
+
+        # Initialize the list for each row.
+        rows = [[] for i in range(1 + 4 * (self._num_rings-1))]
+        middle = 2 * (self._num_rings - 1)
+
+        # Start with the degenerate first ring.
+        universe = universes[-1][0]
+        rows[middle] = [id_form.format(universe._id)]
+
+        # Add universes one ring at a time.
+        for r in range(1, self._num_rings):
+            # r_prime increments down while r increments up.
+            r_prime = self._num_rings - 1 - r
+            theta = 0
+            y = middle + 2*r
+
+            # Climb down the top-right.
+            for i in range(r):
+                # Add the universe.
+                universe = universes[r_prime][theta]
+                rows[y].append(id_form.format(universe._id))
+
+                # Translate the indices.
+                y -= 1
+                theta += 1
+
+            # Climb down the right.
+            for i in range(r):
+                # Add the universe.
+                universe = universes[r_prime][theta]
+                rows[y].append(id_form.format(universe._id))
+
+                # Translate the indices.
+                y -= 2
+                theta += 1
+
+            # Climb down the bottom-right.
+            for i in range(r):
+                # Add the universe.
+                universe = universes[r_prime][theta]
+                rows[y].append(id_form.format(universe._id))
+
+                # Translate the indices.
+                y -= 1
+                theta += 1
+
+            # Climb up the bottom-left.
+            for i in range(r):
+                # Add the universe.
+                universe = universes[r_prime][theta]
+                rows[y].insert(0, id_form.format(universe._id))
+
+                # Translate the indices.
+                y += 1
+                theta += 1
+
+            # Climb up the left.
+            for i in range(r):
+                # Add the universe.
+                universe = universes[r_prime][theta]
+                rows[y].insert(0, id_form.format(universe._id))
+
+                # Translate the indices.
+                y += 2
+                theta += 1
+
+            # Climb up the top-left.
+            for i in range(r):
+                # Add the universe.
+                universe = universes[r_prime][theta]
+                rows[y].insert(0, id_form.format(universe._id))
+
+                # Translate the indices.
+                y += 1
+                theta += 1
+
+        # Flip the rows and join each row into a single string.
+        rows = [pad.join(x) for x in rows[::-1]]
+
+        # Pad the beginning of the rows so they line up properly.
+        for y in range(self._num_rings - 1):
+            rows[y] = (self._num_rings - 1 - y)*pad + rows[y]
+            rows[-1 - y] = (self._num_rings - 1 - y)*pad + rows[-1 - y]
+
+        for y in range(self._num_rings % 2, self._num_rings, 2):
+            rows[middle + y] = pad + rows[middle + y]
+            if y != 0:
+                rows[middle - y] = pad + rows[middle - y]
+
+        # Join the rows together and return the string.
+        universe_ids = '\n'.join(rows)
+        return universe_ids
+
+    @staticmethod
+    def show_indices(num_rings):
+        """Return a diagram of the hexagonal lattice layout with indices.
+
+        This method can be used to show the proper indices to be used when
+        setting the :attr:`HexLattice.universes` property. For example, running
+        this method with num_rings=3 will return the following diagram::
+
+                      (0, 0)
+                (0,11)      (0, 1)
+          (0,10)      (1, 0)      (0, 2)
+                (1, 5)      (1, 1)
+          (0, 9)      (2, 0)      (0, 3)
+                (1, 4)      (1, 2)
+          (0, 8)      (1, 3)      (0, 4)
+                (0, 7)      (0, 5)
+                      (0, 6)
+
+        Parameters
+        ----------
+        num_rings : int
+            Number of rings in the hexagonal lattice
+
+        Returns
+        -------
+        str
+            Diagram of the hexagonal lattice showing indices
+
+        """
+
+        # Find the largest string and count the number of digits so we can
+        # properly pad the output string later
+        largest_index = 6*(num_rings - 1)
+        n_digits_index = len(str(largest_index))
+        n_digits_ring = len(str(num_rings - 1))
+        str_form = '({{:{}}},{{:{}}})'.format(n_digits_ring, n_digits_index)
+        pad = ' '*(n_digits_index + n_digits_ring + 3)
+
+        # Initialize the list for each row.
+        rows = [[] for i in range(1 + 4 * (num_rings-1))]
+        middle = 2 * (num_rings - 1)
+
+        # Start with the degenerate first ring.
+        rows[middle] = [str_form.format(num_rings - 1, 0)]
+
+        # Add universes one ring at a time.
+        for r in range(1, num_rings):
+            # r_prime increments down while r increments up.
+            r_prime = num_rings - 1 - r
+            theta = 0
+            y = middle + 2*r
+
+            for i in range(r):
+                # Climb down the top-right.
+                rows[y].append(str_form.format(r_prime, theta))
+                y -= 1
+                theta += 1
+
+            for i in range(r):
+                # Climb down the right.
+                rows[y].append(str_form.format(r_prime, theta))
+                y -= 2
+                theta += 1
+
+            for i in range(r):
+                # Climb down the bottom-right.
+                rows[y].append(str_form.format(r_prime, theta))
+                y -= 1
+                theta += 1
+
+            for i in range(r):
+                # Climb up the bottom-left.
+                rows[y].insert(0, str_form.format(r_prime, theta))
+                y += 1
+                theta += 1
+
+            for i in range(r):
+                # Climb up the left.
+                rows[y].insert(0, str_form.format(r_prime, theta))
+                y += 2
+                theta += 1
+
+            for i in range(r):
+                # Climb up the top-left.
+                rows[y].insert(0, str_form.format(r_prime, theta))
+                y += 1
+                theta += 1
+
+        # Flip the rows and join each row into a single string.
+        rows = [pad.join(x) for x in rows[::-1]]
+
+        # Pad the beginning of the rows so they line up properly.
+        for y in range(num_rings - 1):
+            rows[y] = (num_rings - 1 - y)*pad + rows[y]
+            rows[-1 - y] = (num_rings - 1 - y)*pad + rows[-1 - y]
+
+        for y in range(num_rings % 2, num_rings, 2):
+            rows[middle + y] = pad + rows[middle + y]
+            if y != 0:
+                rows[middle - y] = pad + rows[middle - y]
+
+        # Join the rows together and return the string.
+        return '\n'.join(rows)
diff --git a/openmc/macroscopic.py b/openmc/macroscopic.py
new file mode 100644
index 0000000000..1dd087903f
--- /dev/null
+++ b/openmc/macroscopic.py
@@ -0,0 +1,79 @@
+import sys
+
+from openmc.checkvalue import check_type
+
+if sys.version_info[0] >= 3:
+    basestring = str
+
+
+class Macroscopic(object):
+    """A Macroscopic object that can be used in a material.
+
+    Parameters
+    ----------
+    name : str
+        Name of the macroscopic data, e.g. UO2
+    xs : str
+        Cross section identifier, e.g. 71c
+
+    Attributes
+    ----------
+    name : str
+        Name of the nuclide, e.g. UO2
+    xs : str
+        Cross section identifier, e.g. 71c
+
+    """
+
+    def __init__(self, name='', xs=None):
+        # Initialize class attributes
+        self._name = ''
+        self._xs = None
+
+        # Set the Material class attributes
+        self.name = name
+
+        if xs is not None:
+            self.xs = xs
+
+    def __eq__(self, other):
+        if isinstance(other, Macroscopic):
+            if self.name != other.name:
+                return False
+            elif self.xs != other.xs:
+                return False
+            else:
+                return True
+        elif isinstance(other, basestring) and other == self.name:
+            return True
+        else:
+            return False
+
+    def __ne__(self, other):
+        return not self == other
+
+    def __hash__(self):
+        return hash((self._name, self._xs))
+
+    def __repr__(self):
+        string = 'Nuclide    -    {0}\n'.format(self._name)
+        string += '{0: <16}{1}{2}\n'.format('\tXS', '=\t', self._xs)
+        return string
+
+    @property
+    def name(self):
+        return self._name
+
+    @property
+    def xs(self):
+        return self._xs
+
+    @name.setter
+    def name(self, name):
+        check_type('name', name, basestring)
+        self._name = name
+
+    @xs.setter
+    def xs(self, xs):
+        check_type('cross-section identifier', xs, basestring)
+        self._xs = xs
diff --git a/openmc/material.py b/openmc/material.py
index 37ebc8a77f..d7ffd04e94 100644
--- a/openmc/material.py
+++ b/openmc/material.py
@@ -1,39 +1,35 @@
-from collections import Iterable, OrderedDict
+from collections import OrderedDict
 from copy import deepcopy
 from numbers import Real, Integral
 import warnings
 from xml.etree import ElementTree as ET
 import sys
+
+import openmc
+import openmc.checkvalue as cv
+from openmc.clean_xml import sort_xml_elements, clean_xml_indentation
+
 if sys.version_info[0] >= 3:
     basestring = str
 
-import openmc
-from openmc.checkvalue import check_type, check_value, check_greater_than
-from openmc.clean_xml import *
-
-
-# A list of all IDs for all Materials created
-MATERIAL_IDS = []
 
 # A static variable for auto-generated Material IDs
 AUTO_MATERIAL_ID = 10000
 
 
 def reset_auto_material_id():
-    global AUTO_MATERIAL_ID, MATERIAL_IDS
+    """Reset counter for auto-generated material IDs."""
+    global AUTO_MATERIAL_ID
     AUTO_MATERIAL_ID = 10000
-    MATERIAL_IDS = []
 
 
 # Units for density supported by OpenMC
-DENSITY_UNITS = ['g/cm3', 'g/cc', 'kg/cm3', 'atom/b-cm', 'atom/cm3', 'sum']
-
-# Constant for density when not needed
-NO_DENSITY = 99999.
+DENSITY_UNITS = ['g/cm3', 'g/cc', 'kg/cm3', 'atom/b-cm', 'atom/cm3', 'sum',
+                 'macro']
 
 
 class Material(object):
-    """A material composed of a collection of nuclides/elements that can be 
+    """A material composed of a collection of nuclides/elements that can be
     assigned to a region of space.
 
     Parameters
@@ -53,7 +49,16 @@ class Material(object):
         Density of the material (units defined separately)
     density_units : str
         Units used for `density`. Can be one of 'g/cm3', 'g/cc', 'kg/cm3',
-        'atom/b-cm', 'atom/cm3', or 'sum'.
+        'atom/b-cm', 'atom/cm3', 'sum', or 'macro'.  The 'macro' unit only
+        applies in the case of a multi-group calculation.
+    elements : list of tuple
+        List in which each item is a 3-tuple consisting of an
+        :class:`openmc.Element` instance, the percent density, and the percent
+        type ('ao' or 'wo').
+    nuclides : list of tuple
+        List in which each item is a 3-tuple consisting of an
+        :class:`openmc.Nuclide` instance, the percent density, and the percent
+        type ('ao' or 'wo').
 
     """
 
@@ -64,15 +69,15 @@ class Material(object):
         self._density = None
         self._density_units = ''
 
-        # An ordered dictionary of Nuclides (order affects OpenMC results)
-        # Keys         - Nuclide names
-        # Values     - tuple (nuclide, percent, percent type)
-        self._nuclides = OrderedDict()
+        # A list of tuples (nuclide, percent, percent type)
+        self._nuclides = []
 
-        # An ordered dictionary of Elements (order affects OpenMC results)
-        # Keys         - Element names
-        # Values     - tuple (element, percent, percent type)
-        self._elements = OrderedDict()
+        # The single instance of Macroscopic data present in this material
+        # (only one is allowed, hence this is different than _nuclides, etc)
+        self._macroscopic = None
+
+        # A list of tuples (element, percent, percent type)
+        self._elements = []
 
         # If specified, a list of tuples of (table name, xs identifier)
         self._sab = []
@@ -126,46 +131,22 @@ class Material(object):
 
         string += '{0: <16}\n'.format('\tNuclides')
 
-        for nuclide in self._nuclides:
-            percent = self._nuclides[nuclide][1]
-            percent_type = self._nuclides[nuclide][2]
-            string += '{0: <16}'.format('\t{0}'.format(nuclide))
+        for nuclide, percent, percent_type in self._nuclides:
+            string += '{0: <16}'.format('\t{0.name}.{0.xs}'.format(nuclide))
             string += '=\t{0: <12} [{1}]\n'.format(percent, percent_type)
 
+        if self._macroscopic is not None:
+            string += '{0: <16}\n'.format('\tMacroscopic Data')
+            string += '{0: <16}'.format('\t{0}'.format(self._macroscopic))
+
         string += '{0: <16}\n'.format('\tElements')
 
-        for element in self._elements:
-            percent = self._nuclides[element][1]
-            percent_type = self._nuclides[element][2]
-            string += '{0: >16}'.format('\t{0}'.format(element))
+        for element, percent, percent_type in self._elements:
+            string += '{0: <16}'.format('\t{0.name}.{0.xs}'.format(element))
             string += '=\t{0: <12} [{1}]\n'.format(percent, percent_type)
 
         return string
 
-    def __deepcopy__(self, memo):
-        existing = memo.get(id(self))
-
-        if existing is None:
-            # If this is the first time we have tried to copy this object, create a copy
-            clone = type(self).__new__(type(self))
-            clone._id = self._id
-            clone._name = self._name
-            clone._density = self._density
-            clone._density_units = self._density_units
-            clone._nuclides = deepcopy(self._nuclides, memo)
-            clone._elements = deepcopy(self._elements, memo)
-            clone._sab = deepcopy(self._sab, memo)
-            clone._convert_to_distrib_comps = self._convert_to_distrib_comps
-            clone._distrib_otf_file = self._distrib_otf_file
-
-            memo[id(self)] = clone
-
-            return clone
-
-        else:
-            # If this object has been copied before, return the first copy made
-            return existing
-
     @property
     def id(self):
         return self._id
@@ -182,6 +163,14 @@ class Material(object):
     def density_units(self):
         return self._density_units
 
+    @property
+    def elements(self):
+        return self._elements
+
+    @property
+    def nuclides(self):
+        return self._nuclides
+
     @property
     def convert_to_distrib_comps(self):
         return self._convert_to_distrib_comps
@@ -192,62 +181,57 @@ class Material(object):
 
     @id.setter
     def id(self, material_id):
-        global AUTO_MATERIAL_ID, MATERIAL_IDS
-
-        # If the Material already has an ID, remove it from global list
-        if hasattr(self, '_id') and self._id is not None:
-            MATERIAL_IDS.remove(self._id)
 
         if material_id is None:
+            global AUTO_MATERIAL_ID
             self._id = AUTO_MATERIAL_ID
-            MATERIAL_IDS.append(AUTO_MATERIAL_ID)
             AUTO_MATERIAL_ID += 1
         else:
-            check_type('material ID', material_id, Integral)
-            if material_id in MATERIAL_IDS:
-                msg = 'Unable to set Material ID to "{0}" since a Material with ' \
-                      'this ID was already initialized'.format(material_id)
-                raise ValueError(msg)
-            check_greater_than('material ID', material_id, 0, equality=True)
-
+            cv.check_type('material ID', material_id, Integral)
+            cv.check_greater_than('material ID', material_id, 0, equality=True)
             self._id = material_id
-            MATERIAL_IDS.append(material_id)
 
     @name.setter
     def name(self, name):
         if name is not None:
-            check_type('name for Material ID="{0}"'.format(self._id),
-                       name, basestring)
+            cv.check_type('name for Material ID="{0}"'.format(self._id),
+                          name, basestring)
             self._name = name
         else:
             self._name = ''
 
-    def set_density(self, units, density=NO_DENSITY):
+    def set_density(self, units, density=None):
         """Set the density of the material
 
         Parameters
         ----------
-        units : str
-            Physical units of density
+        units : {'g/cm3', 'g/cc', 'km/cm3', 'atom/b-cm', 'atom/cm3', 'sum', 'macro'}
+            Physical units of density.
         density : float, optional
             Value of the density. Must be specified unless units is given as
             'sum'.
 
         """
 
-        check_type('the density for Material ID="{0}"'.format(self._id),
-                   density, Real)
-        check_value('density units', units, DENSITY_UNITS)
-
-        if density == NO_DENSITY and units is not 'sum':
-            msg = 'Unable to set the density Material ID="{0}" ' \
-                  'because a density must be set when not using ' \
-                  'sum unit'.format(self._id)
-            raise ValueError(msg)
-
-        self._density = density
+        cv.check_value('density units', units, DENSITY_UNITS)
         self._density_units = units
 
+        if units is 'sum':
+            if density is not None:
+                msg = 'Density "{0}" for Material ID="{1}" is ignored ' \
+                      'because the unit is "sum"'.format(density, self.id)
+                warnings.warn(msg)
+        else:
+            if density is None:
+                msg = 'Unable to set the density for Material ID="{0}" ' \
+                      'because a density value must be given when not using ' \
+                      '"sum" unit'.format(self.id)
+                raise ValueError(msg)
+
+            cv.check_type('the density for Material ID="{0}"'.format(self.id),
+                          density, Real)
+            self._density = density
+
     @distrib_otf_file.setter
     def distrib_otf_file(self, filename):
         # TODO: remove this when distributed materials are merged
@@ -274,16 +258,21 @@ class Material(object):
 
         Parameters
         ----------
-        nuclide : str or openmc.nuclide.Nuclide
+        nuclide : str or openmc.Nuclide
             Nuclide to add
         percent : float
             Atom or weight percent
-        percent_type : str
+        percent_type : {'ao', 'wo'}
             'ao' for atom percent and 'wo' for weight percent
 
         """
 
-        if not isinstance(nuclide, (openmc.Nuclide, str)):
+        if self._macroscopic is not None:
+            msg = 'Unable to add a Nuclide to Material ID="{0}" as a ' \
+                  'macroscopic data-set has already been added'.format(self._id)
+            raise ValueError(msg)
+
+        if not isinstance(nuclide, (openmc.Nuclide, basestring)):
             msg = 'Unable to add a Nuclide to Material ID="{0}" with a ' \
                   'non-Nuclide value "{1}"'.format(self._id, nuclide)
             raise ValueError(msg)
@@ -305,14 +294,14 @@ class Material(object):
         else:
             nuclide = openmc.Nuclide(nuclide)
 
-        self._nuclides[nuclide._name] = (nuclide, percent, percent_type)
+        self._nuclides.append((nuclide, percent, percent_type))
 
     def remove_nuclide(self, nuclide):
         """Remove a nuclide from the material
 
         Parameters
         ----------
-        nuclide : openmc.nuclide.Nuclide
+        nuclide : openmc.Nuclide
             Nuclide to remove
 
         """
@@ -323,24 +312,102 @@ class Material(object):
             raise ValueError(msg)
 
         # If the Material contains the Nuclide, delete it
-        if nuclide._name in self._nuclides:
-            del self._nuclides[nuclide._name]
+        for nuc in self._nuclides:
+            if nuclide == nuc:
+                self._nuclides.remove(nuc)
 
-    def add_element(self, element, percent, percent_type='ao'):
+    def add_macroscopic(self, macroscopic):
+        """Add a macroscopic to the material.  This will also set the
+        density of the material to 1.0, unless it has been otherwise set,
+        as a default for Macroscopic cross sections.
+
+        Parameters
+        ----------
+        macroscopic : str or openmc.Macroscopic
+            Macroscopic to add
+
+        """
+
+        # Ensure no nuclides, elements, or sab are added since these would be
+        # incompatible with macroscopics
+        if self._nuclides or self._elements or self._sab:
+            msg = 'Unable to add a Macroscopic data set to Material ID="{0}" ' \
+                  'with a macroscopic value "{1}" as an incompatible data ' \
+                  'member (i.e., nuclide, element, or S(a,b) table) ' \
+                  'has already been added'.format(self._id, macroscopic)
+            raise ValueError(msg)
+
+        if not isinstance(macroscopic, (openmc.Macroscopic, basestring)):
+            msg = 'Unable to add a Macroscopic to Material ID="{0}" with a ' \
+                  'non-Macroscopic value "{1}"'.format(self._id, macroscopic)
+            raise ValueError(msg)
+
+        if isinstance(macroscopic, openmc.Macroscopic):
+            # Copy this Macroscopic to separate it from the Macroscopic in
+            # other Materials
+            macroscopic = deepcopy(macroscopic)
+        else:
+            macroscopic = openmc.Macroscopic(macroscopic)
+
+        if self._macroscopic is None:
+            self._macroscopic = macroscopic
+        else:
+            msg = 'Unable to add a Macroscopic to Material ID="{0}". ' \
+                  'Only one Macroscopic allowed per ' \
+                  'Material.'.format(self._id)
+            raise ValueError(msg)
+
+        # Generally speaking, the density for a macroscopic object will
+        # be 1.0.  Therefore, lets set density to 1.0 so that the user
+        # doesnt need to set it unless its needed.
+        # Of course, if the user has already set a value of density,
+        # then we will not override it.
+        if self._density is None:
+            self.set_density('macro', 1.0)
+
+    def remove_macroscopic(self, macroscopic):
+        """Remove a macroscopic from the material
+
+        Parameters
+        ----------
+        macroscopic : openmc.Macroscopic
+            Macroscopic to remove
+
+        """
+
+        if not isinstance(macroscopic, openmc.Macroscopic):
+            msg = 'Unable to remove a Macroscopic "{0}" in Material ID="{1}" ' \
+                  'since it is not a Macroscopic'.format(self._id, macroscopic)
+            raise ValueError(msg)
+
+        # If the Material contains the Macroscopic, delete it
+        if macroscopic.name == self._macroscopic.name:
+            self._macroscopic = None
+
+    def add_element(self, element, percent, percent_type='ao', expand=False):
         """Add a natural element to the material
 
         Parameters
         ----------
-        element : openmc.element.Element
+        element : openmc.Element or str
             Element to add
         percent : float
             Atom or weight percent
-        percent_type : str
-            'ao' for atom percent and 'wo' for weight percent
+        percent_type : {'ao', 'wo'}, optional
+            'ao' for atom percent and 'wo' for weight percent. Defaults to atom
+            percent.
+        expand : bool, optional
+            Whether to expand the natural element into its naturally-occurring
+            isotopes. Defaults to False.
 
         """
 
-        if not isinstance(element, openmc.Element):
+        if self._macroscopic is not None:
+            msg = 'Unable to add an Element to Material ID="{0}" as a ' \
+                  'macroscopic data-set has already been added'.format(self._id)
+            raise ValueError(msg)
+
+        if not isinstance(element, (openmc.Element, basestring)):
             msg = 'Unable to add an Element to Material ID="{0}" with a ' \
                   'non-Element value "{1}"'.format(self._id, element)
             raise ValueError(msg)
@@ -356,23 +423,39 @@ class Material(object):
             raise ValueError(msg)
 
         # Copy this Element to separate it from same Element in other Materials
-        element = deepcopy(element)
+        if isinstance(element, openmc.Element):
+            element = deepcopy(element)
+        else:
+            element = openmc.Element(element)
 
-        self._elements[element._name] = (element, percent, percent_type)
+        if expand:
+            if percent_type == 'wo':
+                raise NotImplementedError('Expanding natural element based on '
+                                          'weight percent is not yet supported.')
+            for isotope, abundance in element.expand():
+                self._nuclides.append((isotope, percent*abundance, percent_type))
+        else:
+            self._elements.append((element, percent, percent_type))
 
     def remove_element(self, element):
         """Remove a natural element from the material
 
         Parameters
         ----------
-        element : openmc.element.Element
+        element : openmc.Element
             Element to remove
 
         """
 
-        # If the Material contains the Element, delete it
-        if element._name in self._elements:
-            del self._elements[element._name]
+        if not isinstance(element, openmc.Element):
+            msg = 'Unable to remove "{0}" in Material ID="{1}" ' \
+                  'since it is not an Element'.format(self.id, element)
+            raise ValueError(msg)
+
+        # If the Material contains the Nuclide, delete it
+        for elm in self._elements:
+            if element == elm:
+                self._nuclides.remove(elm)
 
     def add_s_alpha_beta(self, name, xs):
         r"""Add an :math:`S(\alpha,\beta)` table to the material
@@ -386,6 +469,11 @@ class Material(object):
 
         """
 
+        if self._macroscopic is not None:
+            msg = 'Unable to add an S(a,b) table to Material ID="{0}" as a ' \
+                  'macroscopic data-set has already been added'.format(self._id)
+            raise ValueError(msg)
+
         if not isinstance(name, basestring):
             msg = 'Unable to add an S(a,b) table to Material ID="{0}" with a ' \
                         'non-string table name "{1}"'.format(self._id, name)
@@ -399,10 +487,10 @@ class Material(object):
         self._sab.append((name, xs))
 
     def make_isotropic_in_lab(self):
-        for nuclide_name in self._nuclides:
-            self._nuclides[nuclide_name][0].scattering = 'iso-in-lab'
-        for element_name in self._elements:
-            self._element[element_name][0].scattering = 'iso-in-lab'
+        for nuclide, percent, percent_type in self._nuclides:
+            nuclide.scattering = 'iso-in-lab'
+        for element, percent, percent_type in self._elements:
+            element.scattering = 'iso-in-lab'
 
     def get_all_nuclides(self):
         """Returns all nuclides in the material
@@ -417,19 +505,22 @@ class Material(object):
 
         nuclides = OrderedDict()
 
-        for nuclide_name, nuclide_tuple in self._nuclides.items():
-            nuclide = nuclide_tuple[0]
-            density = nuclide_tuple[1]
-            nuclides[nuclide._name] = (nuclide, density)
+        for nuclide, density, density_type in self._nuclides:
+            nuclides[nuclide.name] = (nuclide, density)
+
+        for element, density, density_type in self._elements:
+            # Expand natural element into isotopes
+            for isotope, abundance in element.expand():
+                nuclides[isotope.name] = (isotope, density*abundance)
 
         return nuclides
 
     def _get_nuclide_xml(self, nuclide, distrib=False):
         xml_element = ET.Element("nuclide")
-        xml_element.set("name", nuclide[0]._name)
+        xml_element.set("name", nuclide[0].name)
 
         if not distrib:
-            if nuclide[2] is 'ao':
+            if nuclide[2] == 'ao':
                 xml_element.set("ao", str(nuclide[1]))
             else:
                 xml_element.set("wo", str(nuclide[1]))
@@ -442,16 +533,28 @@ class Material(object):
 
         return xml_element
 
+    def _get_macroscopic_xml(self, macroscopic):
+        xml_element = ET.Element("macroscopic")
+        xml_element.set("name", macroscopic.name)
+
+        if macroscopic.xs is not None:
+            xml_element.set("xs", macroscopic.xs)
+
+        return xml_element
+
     def _get_element_xml(self, element, distrib=False):
         xml_element = ET.Element("element")
-        xml_element.set("name", str(element[0]._name))
+        xml_element.set("name", str(element[0].name))
 
         if not distrib:
-            if element[2] is 'ao':
+            if element[2] == 'ao':
                 xml_element.set("ao", str(element[1]))
             else:
                 xml_element.set("wo", str(element[1]))
 
+        if element[0].xs is not None:
+            xml_element.set("xs", element[0].xs)
+
         if not element[0].scattering is None:
             xml_element.set("scattering", element[0].scattering)
 
@@ -460,7 +563,7 @@ class Material(object):
     def _get_nuclides_xml(self, nuclides, distrib=False):
         xml_elements = []
 
-        for nuclide in nuclides.values():
+        for nuclide in nuclides:
             xml_elements.append(self._get_nuclide_xml(nuclide, distrib))
 
         return xml_elements
@@ -468,7 +571,7 @@ class Material(object):
     def _get_elements_xml(self, elements, distrib=False):
         xml_elements = []
 
-        for element in elements.values():
+        for element in elements:
             xml_elements.append(self._get_element_xml(element, distrib))
 
         return xml_elements
@@ -497,21 +600,26 @@ class Material(object):
         subelement.set("units", self._density_units)
 
         if not self._convert_to_distrib_comps:
-            # Create nuclide XML subelements
-            subelements = self._get_nuclides_xml(self._nuclides)
-            for subelement in subelements:
-                element.append(subelement)
+            if self._macroscopic is None:
+                # Create nuclide XML subelements
+                subelements = self._get_nuclides_xml(self._nuclides)
+                for subelement in subelements:
+                    element.append(subelement)
 
-            # Create element XML subelements
-            subelements = self._get_elements_xml(self._elements)
-            for subelement in subelements:
+                # Create element XML subelements
+                subelements = self._get_elements_xml(self._elements)
+                for subelement in subelements:
+                    element.append(subelement)
+            else:
+                # Create macroscopic XML subelements
+                subelement = self._get_macroscopic_xml(self._macroscopic)
                 element.append(subelement)
 
         else:
             subelement = ET.SubElement(element, "compositions")
 
             comps = []
-            allnucs = self._nuclides.values() + self._elements.values()
+            allnucs = self._nuclides + self._elements
             dist_per_type = allnucs[0][2]
             for nuc, per, typ in allnucs:
                 if not typ == dist_per_type:
@@ -531,15 +639,20 @@ class Material(object):
                 subsubelement = ET.SubElement(subelement, "otf_file_path")
                 subsubelement.text = self._distrib_otf_file
 
-            # Create nuclide XML subelements
-            subelements = self.get_nuclides_xml(self._nuclides, distrib=True)
-            for subelement_nuc in subelements:
-                subelement.append(subelement_nuc)
+            if self._macroscopic is None:
+                # Create nuclide XML subelements
+                subelements = self._get_nuclides_xml(self._nuclides, distrib=True)
+                for subelement_nuc in subelements:
+                    subelement.append(subelement_nuc)
 
-            # Create element XML subelements
-            subelements = self._get_elements_xml(self._elements, distrib=True)
-            for subelement_ele in subelements:
-                subelement.append(subelement_ele)
+                # Create element XML subelements
+                subelements = self._get_elements_xml(self._elements, distrib=True)
+                for subsubelement in subelements:
+                    subelement.append(subsubelement)
+            else:
+                # Create macroscopic XML subelements
+                subsubelement = self._get_macroscopic_xml(self._macroscopic)
+                subelement.append(subsubelement)
 
         if len(self._sab) > 0:
             for sab in self._sab:
@@ -550,9 +663,25 @@ class Material(object):
         return element
 
 
-class MaterialsFile(object):
-    """Materials file used for an OpenMC simulation. Corresponds directly to the
-    materials.xml input file.
+class Materials(cv.CheckedList):
+    """Collection of Materials used for an OpenMC simulation.
+
+    This class corresponds directly to the materials.xml input file. It can be
+    thought of as a normal Python list where each member is a
+    :class:`Material`. It behaves like a list as the following example
+    demonstrates:
+
+    >>> fuel = openmc.Material()
+    >>> clad = openmc.Material()
+    >>> water = openmc.Material()
+    >>> m = openmc.Materials([fuel])
+    >>> m.append(water)
+    >>> m += [clad]
+
+    Parameters
+    ----------
+    materials : Iterable of openmc.Material
+        Materials to add to the collection
 
     Attributes
     ----------
@@ -562,11 +691,12 @@ class MaterialsFile(object):
 
     """
 
-    def __init__(self):
-        # Initialize MaterialsFile class attributes
-        self._materials = []
+    def __init__(self, materials=None):
+        super(Materials, self).__init__(Material, 'materials collection')
         self._default_xs = None
         self._materials_file = ET.Element("materials")
+        if materials is not None:
+            self += materials
 
     @property
     def default_xs(self):
@@ -574,72 +704,95 @@ class MaterialsFile(object):
 
     @default_xs.setter
     def default_xs(self, xs):
-        check_type('default xs', xs, basestring)
+        cv.check_type('default xs', xs, basestring)
         self._default_xs = xs
 
     def add_material(self, material):
-        """Add a material to the file.
+        """Append material to collection
+
+        .. deprecated:: 0.8
+            Use :meth:`Materials.append` instead.
 
         Parameters
         ----------
-        material : Material
+        material : openmc.Material
             Material to add
 
         """
-
-        if not isinstance(material, Material):
-            msg = 'Unable to add a non-Material "{0}" to the ' \
-                  'MaterialsFile'.format(material)
-            raise ValueError(msg)
-
-        self._materials.append(material)
+        warnings.warn("Materials.add_material(...) has been deprecated and may be "
+                      "removed in a future version. Use Material.append(...) "
+                      "instead.", DeprecationWarning)
+        self.append(material)
 
     def add_materials(self, materials):
-        """Add multiple materials to the file.
+        """Add multiple materials to the collection
+
+        .. deprecated:: 0.8
+            Use compound assignment instead.
 
         Parameters
         ----------
-        materials : tuple or list of Material
+        materials : Iterable of openmc.Material
             Materials to add
 
         """
-
-        if not isinstance(materials, Iterable):
-            msg = 'Unable to create OpenMC materials.xml file from "{0}" which ' \
-                  'is not iterable'.format(materials)
-            raise ValueError(msg)
-
+        warnings.warn("Materials.add_materials(...) has been deprecated and may be "
+                      "removed in a future version. Use compound assignment "
+                      "instead.", DeprecationWarning)
         for material in materials:
-            self.add_material(material)
+            self.append(material)
+
+    def append(self, material):
+        """Append material to collection
+
+        Parameters
+        ----------
+        material : openmc.Material
+            Material to append
+
+        """
+        super(Materials, self).append(material)
+
+    def insert(self, index, material):
+        """Insert material before index
+
+        Parameters
+        ----------
+        index : int
+            Index in list
+        material : openmc.Material
+            Material to insert
+
+        """
+        super(Materials, self).insert(index, material)
 
     def remove_material(self, material):
         """Remove a material from the file
 
+        .. deprecated:: 0.8
+            Use :meth:`Materials.remove` instead.
+
         Parameters
         ----------
-        material : Material
+        material : openmc.Material
             Material to remove
 
         """
-
-        if not isinstance(material, Material):
-            msg = 'Unable to remove a non-Material "{0}" from the ' \
-                  'MaterialsFile'.format(material)
-            raise ValueError(msg)
-
-        self._materials.remove(material)
+        warnings.warn("Materials.remove_material(...) has been deprecated and "
+                      "may be removed in a future version. Use "
+                      "Materials.remove(...) instead.", DeprecationWarning)
+        self.remove(material)
 
     def make_isotropic_in_lab(self):
-        for material in self._materials:
+        for material in self:
             material.make_isotropic_in_lab()
 
     def _create_material_subelements(self):
-        subelement = ET.SubElement(self._materials_file, "default_xs")
-
         if self._default_xs is not None:
+            subelement = ET.SubElement(self._materials_file, "default_xs")
             subelement.text = self._default_xs
 
-        for material in self._materials:
+        for material in self:
             xml_element = material.get_material_xml()
             self._materials_file.append(xml_element)
 
@@ -660,4 +813,4 @@ class MaterialsFile(object):
         # Write the XML Tree to the materials.xml file
         tree = ET.ElementTree(self._materials_file)
         tree.write("materials.xml", xml_declaration=True,
-                             encoding='utf-8', method="xml")
+                   encoding='utf-8', method="xml")
diff --git a/openmc/mesh.py b/openmc/mesh.py
index 8bad6c5374..169e7705cc 100644
--- a/openmc/mesh.py
+++ b/openmc/mesh.py
@@ -1,5 +1,4 @@
 from collections import Iterable
-import copy
 from numbers import Real, Integral
 from xml.etree import ElementTree as ET
 import sys
@@ -17,6 +16,7 @@ AUTO_MESH_ID = 10000
 
 
 def reset_auto_mesh_id():
+    """Reset counter for auto-generated mesh IDs."""
     global AUTO_MESH_ID
     AUTO_MESH_ID = 10000
 
@@ -64,47 +64,25 @@ class Mesh(object):
 
     def __eq__(self, mesh2):
         # Check type
-        if self._type != mesh2._type:
+        if self._type != mesh2.type:
             return False
 
         # Check dimension
-        elif self._dimension != mesh2._dimension:
+        elif self._dimension != mesh2.dimension:
             return False
 
         # Check width
-        elif self._width != mesh2._width:
+        elif self._width != mesh2.width:
             return False
 
         # Check lower left / upper right
-        elif self._lower_left != mesh2._lower_left and \
-             self._upper_right != mesh2._upper_right:
+        elif self._lower_left != mesh2.lower_left and \
+             self._upper_right != mesh2.upper_right:
             return False
 
         else:
             return True
 
-    def __deepcopy__(self, memo):
-        existing = memo.get(id(self))
-
-        # If this is the first time we have tried to copy this object, create a copy
-        if existing is None:
-            clone = type(self).__new__(type(self))
-            clone._id = self._id
-            clone._name = self._name
-            clone._type = self._type
-            clone._dimension = copy.deepcopy(self._dimension, memo)
-            clone._lower_left = copy.deepcopy(self._lower_left, memo)
-            clone._upper_right = copy.deepcopy(self._upper_right, memo)
-            clone._width = copy.deepcopy(self._width, memo)
-
-            memo[id(self)] = clone
-
-            return clone
-
-        # If this object has been copied before, return the first copy made
-        else:
-            return existing
-
     @property
     def id(self):
         return self._id
@@ -152,7 +130,7 @@ class Mesh(object):
     def name(self, name):
         if name is not None:
             cv.check_type('name for mesh ID="{0}"'.format(self._id),
-                       name, basestring)
+                          name, basestring)
             self._name = name
         else:
             self._name = ''
@@ -160,9 +138,9 @@ class Mesh(object):
     @type.setter
     def type(self, meshtype):
         cv.check_type('type for mesh ID="{0}"'.format(self._id),
-                   meshtype, basestring)
+                      meshtype, basestring)
         cv.check_value('type for mesh ID="{0}"'.format(self._id),
-                    meshtype, ['regular'])
+                       meshtype, ['regular'])
         self._type = meshtype
 
     @dimension.setter
diff --git a/openmc/mgxs/groups.py b/openmc/mgxs/groups.py
index 3436c0e037..068977d888 100644
--- a/openmc/mgxs/groups.py
+++ b/openmc/mgxs/groups.py
@@ -24,7 +24,7 @@ class EnergyGroups(object):
     ----------
     group_edges : Iterable of Real
         The energy group boundaries [MeV]
-    num_group : Integral
+    num_groups : int
         The number of energy groups
 
     """
@@ -54,10 +54,12 @@ class EnergyGroups(object):
     def __eq__(self, other):
         if not isinstance(other, EnergyGroups):
             return False
-        elif self.group_edges != other.group_edges:
+        elif self.num_groups != other.num_groups:
             return False
-        else:
+        elif np.allclose(self.group_edges, other.group_edges):
             return True
+        else:
+            return False
 
     def __ne__(self, other):
         return not self == other
@@ -84,7 +86,7 @@ class EnergyGroups(object):
 
         Parameters
         ----------
-        energy : Real
+        energy : float
             The energy of interest in MeV
 
         Returns
@@ -113,7 +115,7 @@ class EnergyGroups(object):
 
         Parameters
         ----------
-        group : Integral
+        group : int
             The energy group index, starting at 1 for the highest energies
 
         Returns
@@ -151,7 +153,7 @@ class EnergyGroups(object):
 
         Returns
         -------
-        ndarray
+        numpy.ndarray
             The ndarray array indices for each energy group of interest
 
         Raises
@@ -198,7 +200,7 @@ class EnergyGroups(object):
 
         Returns
         -------
-        EnergyGroups
+        openmc.mgxs.EnergyGroups
             A coarsened version of this EnergyGroups object.
 
         Raises
@@ -236,3 +238,64 @@ class EnergyGroups(object):
         condensed_groups.group_edges = group_edges
 
         return condensed_groups
+
+    def can_merge(self, other):
+        """Determine if energy groups can be merged with another.
+
+        Parameters
+        ----------
+        other : openmc.mgxs.EnergyGroups
+            EnergyGroups to compare with
+
+        Returns
+        -------
+        bool
+            Whether the energy groups can be merged
+
+        """
+
+        if not isinstance(other, EnergyGroups):
+            return False
+
+        # If the energy group structures match then groups are mergeable
+        if self == other:
+            return True
+
+        # This low energy edge coincides with other's high energy edge
+        if self.group_edges[0] == other.group_edges[-1]:
+            return True
+        # This high energy edge coincides with other's low energy edge
+        elif self.group_edges[-1] == other.group_edges[0]:
+            return True
+        else:
+            return False
+
+    def merge(self, other):
+        """Merge this energy groups with another.
+
+        Parameters
+        ----------
+        other : openmc.mgxs.EnergyGroups
+            EnergyGroups to merge with
+
+        Returns
+        -------
+        merged_groups : openmc.mgxs.EnergyGroups
+            EnergyGroups resulting from the merge
+
+        """
+
+        if not self.can_merge(other):
+            raise ValueError('Unable to merge energy groups')
+
+        # Create deep copy to return as merged energy groups
+        merged_groups = copy.deepcopy(self)
+
+        # Merge unique filter bins
+        merged_edges = np.concatenate((self.group_edges, other.group_edges))
+        merged_edges = np.unique(merged_edges)
+        merged_edges = sorted(merged_edges)
+
+        # Assign merged edges to merged groups
+        merged_groups.group_edges = list(merged_edges)
+        return merged_groups
diff --git a/openmc/mgxs/library.py b/openmc/mgxs/library.py
index ef3e90fc41..9df9d150dd 100644
--- a/openmc/mgxs/library.py
+++ b/openmc/mgxs/library.py
@@ -4,6 +4,9 @@ import copy
 import pickle
 from numbers import Integral
 from collections import OrderedDict
+from warnings import warn
+
+import numpy as np
 
 import openmc
 import openmc.mgxs
@@ -30,7 +33,7 @@ class Library(object):
     Parameters
     ----------
     openmc_geometry : openmc.Geometry
-        An geometry which has been initialized with a root universe
+        A geometry which has been initialized with a root universe
     by_nuclide : bool
         If true, computes cross sections for each nuclide in each domain
     mgxs_types : Iterable of str
@@ -53,26 +56,31 @@ class Library(object):
         The types of cross sections in the library (e.g., ['total', 'scatter'])
     domain_type : {'material', 'cell', 'distribcell', 'universe'}
         Domain type for spatial homogenization
-    domains : Iterable of Material, Cell or Universe
+    domains : Iterable of openmc.Material, openmc.Cell or openmc.Universe
         The spatial domain(s) for which MGXS in the Library are computed
-    correction : 'P0' or None
+    correction : {'P0', None}
         Apply the P0 correction to scattering matrices if set to 'P0'
-    energy_groups : EnergyGroups
+    legendre_order : int
+        The highest legendre moment in the scattering matrices (default is 0)
+    energy_groups : openmc.mgxs.EnergyGroups
         Energy group structure for energy condensation
-    tally_trigger : Trigger
+    tally_trigger : openmc.Trigger
         An (optional) tally precision trigger given to each tally used to
         compute the cross section
-    all_mgxs : OrderedDict
+    all_mgxs : collections.OrderedDict
         MGXS objects keyed by domain ID and cross section type
     sp_filename : str
         The filename of the statepoint with tally data used to the
         compute cross sections
     keff : Real or None
-        The combined keff from the statepoint file with tally data used to 
+        The combined keff from the statepoint file with tally data used to
         compute cross sections (for eigenvalue calculations only)
     name : str, optional
         Name of the multi-group cross section library. Used as a label to
         identify tallies in OpenMC 'tallies.xml' file.
+    sparse : bool
+        Whether or not the Library's tallies use SciPy's LIL sparse matrix
+        format for compressed data storage
 
     """
 
@@ -86,12 +94,14 @@ class Library(object):
         self._mgxs_types = []
         self._domain_type = None
         self._domains = 'all'
-        self._correction = 'P0'
         self._energy_groups = None
+        self._correction = 'P0'
+        self._legendre_order = 0
         self._tally_trigger = None
         self._all_mgxs = OrderedDict()
         self._sp_filename = None
         self._keff = None
+        self._sparse = False
 
         self.name = name
         self.openmc_geometry = openmc_geometry
@@ -112,13 +122,15 @@ class Library(object):
             clone._by_nuclide = self.by_nuclide
             clone._mgxs_types = self.mgxs_types
             clone._domain_type = self.domain_type
-            clone._domains = self.domains
+            clone._domains = copy.deepcopy(self.domains)
             clone._correction = self.correction
+            clone._legendre_order = self.legendre_order
             clone._energy_groups = copy.deepcopy(self.energy_groups, memo)
             clone._tally_trigger = copy.deepcopy(self.tally_trigger, memo)
-            clone._all_mgxs = self.all_mgxs
+            clone._all_mgxs = copy.deepcopy(self.all_mgxs)
             clone._sp_filename = self._sp_filename
             clone._keff = self._keff
+            clone._sparse = self.sparse
 
             clone._all_mgxs = OrderedDict()
             for domain in self.domains:
@@ -139,10 +151,6 @@ class Library(object):
     def openmc_geometry(self):
         return self._openmc_geometry
 
-    @property
-    def openmc_geometry(self):
-        return self._openmc_geometry
-
     @property
     def opencg_geometry(self):
         if self._opencg_geometry is None:
@@ -180,13 +188,17 @@ class Library(object):
         else:
             return self._domains
 
+    @property
+    def energy_groups(self):
+        return self._energy_groups
+
     @property
     def correction(self):
         return self._correction
 
     @property
-    def energy_groups(self):
-        return self._energy_groups
+    def legendre_order(self):
+        return self._legendre_order
 
     @property
     def tally_trigger(self):
@@ -208,6 +220,10 @@ class Library(object):
     def keff(self):
         return self._keff
 
+    @property
+    def sparse(self):
+        return self._sparse
+
     @openmc_geometry.setter
     def openmc_geometry(self, openmc_geometry):
         cv.check_type('openmc_geometry', openmc_geometry, openmc.Geometry)
@@ -236,7 +252,7 @@ class Library(object):
 
     @domain_type.setter
     def domain_type(self, domain_type):
-        cv.check_value('domain type', domain_type, tuple(openmc.mgxs.DOMAIN_TYPES))
+        cv.check_value('domain type', domain_type, openmc.mgxs.DOMAIN_TYPES)
         self._domain_type = domain_type
 
     @domains.setter
@@ -258,34 +274,73 @@ class Library(object):
                 cv.check_iterable_type('domain', domains, openmc.Universe)
                 all_domains = self.openmc_geometry.get_all_universes()
             else:
-                msg = 'Unable to set domains with ' \
-                      'domain type "{}"'.format(self.domain_type)
-                raise ValueError(msg)
+                raise ValueError('Unable to set domains with domain '
+                                 'type "{}"'.format(self.domain_type))
 
             # Check that each domain can be found in the geometry
             for domain in domains:
                 if domain not in all_domains:
-                    msg = 'Domain "{}" could not be found in the ' \
-                          'geometry.'.format(domain)
-                    raise ValueError(msg)
+                    raise ValueError('Domain "{}" could not be found in the '
+                                     'geometry.'.format(domain))
 
             self._domains = domains
 
-    @correction.setter
-    def correction(self, correction):
-        cv.check_value('correction', correction, ('P0', None))
-        self._correction = correction
-
     @energy_groups.setter
     def energy_groups(self, energy_groups):
         cv.check_type('energy groups', energy_groups, openmc.mgxs.EnergyGroups)
         self._energy_groups = energy_groups
 
+    @correction.setter
+    def correction(self, correction):
+        cv.check_value('correction', correction, ('P0', None))
+
+        if correction == 'P0' and self.legendre_order > 0:
+            warn('The P0 correction will be ignored since the scattering '
+                 'order "{}" is greater than zero'.format(self.legendre_order))
+
+        self._correction = correction
+
+    @legendre_order.setter
+    def legendre_order(self, legendre_order):
+        cv.check_type('legendre_order', legendre_order, Integral)
+        cv.check_greater_than('legendre_order', legendre_order, 0, equality=True)
+        cv.check_less_than('legendre_order', legendre_order, 10, equality=True)
+
+        if self.correction == 'P0' and legendre_order > 0:
+            msg = 'The P0 correction will be ignored since the scattering ' \
+                  'order {} is greater than zero'.format(self.legendre_order)
+            warn(msg, RuntimeWarning)
+            self.correction = None
+
+        self._legendre_order = legendre_order
+
     @tally_trigger.setter
     def tally_trigger(self, tally_trigger):
         cv.check_type('tally trigger', tally_trigger, openmc.Trigger)
         self._tally_trigger = tally_trigger
 
+    @sparse.setter
+    def sparse(self, sparse):
+        """Convert tally data from NumPy arrays to SciPy list of lists (LIL)
+        sparse matrices, and vice versa.
+
+        This property may be used to reduce the amount of data in memory during
+        tally data processing. The tally data will be stored as SciPy LIL
+        matrices internally within the Tally object. All tally data access
+        properties and methods will return data as a dense NumPy array.
+
+        """
+
+        cv.check_type('sparse', sparse, bool)
+
+        # Sparsify or densify each MGXS in the Library
+        for domain in self.domains:
+            for mgxs_type in self.mgxs_types:
+                mgxs = self.get_mgxs(domain, mgxs_type)
+                mgxs.sparse = self.sparse
+
+        self._sparse = sparse
+
     def build_library(self):
         """Initialize MGXS objects in each domain and for each reaction type
         in the library.
@@ -313,33 +368,34 @@ class Library(object):
                 # Specify whether to use a transport ('P0') correction
                 if isinstance(mgxs, openmc.mgxs.ScatterMatrixXS):
                     mgxs.correction = self.correction
+                    mgxs.legendre_order = self.legendre_order
 
                 self.all_mgxs[domain.id][mgxs_type] = mgxs
 
     def add_to_tallies_file(self, tallies_file, merge=True):
         """Add all tallies from all MGXS objects to a tallies file.
 
-        NOTE: This assumes that build_library() has been called
+        NOTE: This assumes that :meth:`Library.build_library` has been called
 
         Parameters
         ----------
-        tallies_file : openmc.TalliesFile
-            A TalliesFile object to add each MGXS' tallies to generate a
-            "tallies.xml" input file for OpenMC
+        tallies_file : openmc.Tallies
+            A Tallies collection to add each MGXS' tallies to generate a
+            'tallies.xml' input file for OpenMC
         merge : bool
             Indicate whether tallies should be merged when possible. Defaults
             to True.
 
         """
 
-        cv.check_type('tallies_file', tallies_file, openmc.TalliesFile)
+        cv.check_type('tallies_file', tallies_file, openmc.Tallies)
 
         # Add tallies from each MGXS for each domain and mgxs type
         for domain in self.domains:
             for mgxs_type in self.mgxs_types:
                 mgxs = self.get_mgxs(domain, mgxs_type)
-                for tally_id, tally in mgxs.tallies.items():
-                    tallies_file.add_tally(tally, merge=merge)
+                for tally in mgxs.tallies.values():
+                    tallies_file.append(tally, merge=merge)
 
     def load_from_statepoint(self, statepoint):
         """Extracts tallies in an OpenMC StatePoint with the data needed to
@@ -365,13 +421,14 @@ class Library(object):
 
         cv.check_type('statepoint', statepoint, openmc.StatePoint)
 
-        if not statepoint.with_summary:
+        if statepoint.summary is None:
             msg = 'Unable to load data from a statepoint which has not been ' \
                   'linked with a summary file'
             raise ValueError(msg)
 
         self._sp_filename = statepoint._f.filename
         self._openmc_geometry = statepoint.summary.openmc_geometry
+        self._nuclides = statepoint.summary.nuclides
 
         if statepoint.run_mode == 'k-eigenvalue':
             self._keff = statepoint.k_combined[0]
@@ -381,6 +438,7 @@ class Library(object):
             for mgxs_type in self.mgxs_types:
                 mgxs = self.get_mgxs(domain, mgxs_type)
                 mgxs.load_from_statepoint(statepoint)
+                mgxs.sparse = self.sparse
 
     def get_mgxs(self, domain, mgxs_type):
         """Return the MGXS object for some domain and reaction rate type.
@@ -394,7 +452,7 @@ class Library(object):
         ----------
         domain : Material or Cell or Universe or Integral
             The material, cell, or universe object of interest (or its ID)
-        mgxs_type : {'total', 'transport', 'absorption', 'capture', 'fission', 'nu-fission', 'scatter', 'nu-scatter', 'scatter matrix', 'nu-scatter matrix', 'chi'}
+        mgxs_type : {'total', 'transport', 'nu-transport', 'absorption', 'capture', 'fission', 'nu-fission', 'kappa-fission', 'scatter', 'nu-scatter', 'scatter matrix', 'nu-scatter matrix', 'multiplicity matrix', 'nu-fission matrix', chi'}
             The type of multi-group cross section object to return
 
         Returns
@@ -418,22 +476,22 @@ class Library(object):
             cv.check_type('domain', domain, (openmc.Universe, Integral))
 
         # Check that requested domain is included in library
-        if cv._isinstance(domain, Integral):
+        if isinstance(domain, Integral):
             domain_id = domain
             for domain in self.domains:
                 if domain_id == domain.id:
                     break
             else:
-                msg = 'Unable to find MGXS for {0} "{1}" in ' \
-                      'library'.format(self.domain_type, domain)
+                msg = 'Unable to find MGXS for "{0}" "{1}" in ' \
+                      'library'.format(self.domain_type, domain_id)
                 raise ValueError(msg)
         else:
             domain_id = domain.id
 
         # Check that requested domain is included in library
         if mgxs_type not in self.mgxs_types:
-                msg = 'Unable to find MGXS type "{0}"'.format(mgxs_type)
-                raise ValueError(msg)
+            msg = 'Unable to find MGXS type "{0}"'.format(mgxs_type)
+            raise ValueError(msg)
 
         return self.all_mgxs[domain_id][mgxs_type]
 
@@ -505,7 +563,7 @@ class Library(object):
 
         Returns
         -------
-        Library
+        openmc.mgxs.Library
             A new multi-group cross section library averaged across subdomains
 
         Raises
@@ -536,13 +594,15 @@ class Library(object):
         for domain in self.domains:
             for mgxs_type in self.mgxs_types:
                 mgxs = subdomain_avg_library.get_mgxs(domain, mgxs_type)
-                avg_mgxs = mgxs.get_subdomain_avg_xs()
-                subdomain_avg_library.all_mgxs[domain.id][mgxs_type] = avg_mgxs
+                if mgxs.domain_type == 'distribcell':
+                    avg_mgxs = mgxs.get_subdomain_avg_xs()
+                    subdomain_avg_library.all_mgxs[domain.id][mgxs_type] = avg_mgxs
 
         return subdomain_avg_library
 
     def build_hdf5_store(self, filename='mgxs.h5', directory='mgxs',
-                         subdomains='all', nuclides='all', xs_type='macro'):
+                         subdomains='all', nuclides='all', xs_type='macro',
+                         row_column='inout'):
         """Export the multi-group cross section library to an HDF5 binary file.
 
         This method constructs an HDF5 file which stores the library's
@@ -572,6 +632,10 @@ class Library(object):
         xs_type: {'macro', 'micro'}
             Store the macro or micro cross section in units of cm^-1 or barns.
             Defaults to 'macro'.
+        row_column: {'inout', 'outin'}
+            Store scattering matrices indexed first by incoming group and
+            second by outgoing group ('inout'), or vice versa ('outin').
+            Defaults to 'inout'.
 
         Raises
         ------
@@ -602,7 +666,7 @@ class Library(object):
         full_filename = os.path.join(directory, filename)
         full_filename = full_filename.replace(' ', '-')
         f = h5py.File(full_filename, 'w')
-        f.attrs["# groups"] = self.num_groups
+        f.attrs['# groups'] = self.num_groups
         f.close()
 
         # Export MGXS for each domain and mgxs type to an HDF5 file
@@ -613,8 +677,8 @@ class Library(object):
                 if subdomains == 'avg':
                     mgxs = mgxs.get_subdomain_avg_xs()
 
-                mgxs.build_hdf5_store(filename, directory,
-                                      xs_type=xs_type, nuclides=nuclides)
+                mgxs.build_hdf5_store(filename, directory, xs_type=xs_type,
+                                      nuclides=nuclides, row_column=row_column)
 
     def dump_to_file(self, filename='mgxs', directory='mgxs'):
         """Store this Library object in a pickle binary file.
@@ -679,3 +743,466 @@ class Library(object):
 
         # Load and return pickled Library object
         return pickle.load(open(full_filename, 'rb'))
+
+    def get_xsdata(self, domain, xsdata_name, nuclide='total', xs_type='macro',
+                   xs_id='1m', order=None, tabular_legendre=None,
+                   tabular_points=33):
+        """Generates an openmc.XSdata object describing a multi-group cross section
+        data set for eventual combination in to an openmc.MGXSLibrary object
+        (i.e., the library).
+
+        Parameters
+        ----------
+        domain : openmc.Material or openmc.Cell or openmc.Universe
+            The domain for spatial homogenization
+        xsdata_name : str
+            Name to apply to the "xsdata" entry produced by this method
+        nuclide : str
+            A nuclide name string (e.g., 'U-235').  Defaults to 'total' to
+            obtain a material-wise macroscopic cross section.
+        xs_type: {'macro', 'micro'}
+            Provide the macro or micro cross section in units of cm^-1 or
+            barns. Defaults to 'macro'. If the Library object is not tallied by
+            nuclide this will be set to 'macro' regardless.
+        xs_ids : str
+            Cross section set identifier. Defaults to '1m'.
+        order : int
+            Scattering order for this data entry.  Default is None,
+            which will set the XSdata object to use the order of the
+            Library.
+        tabular_legendre : None or bool
+            Flag to denote whether or not the Legendre expansion of the
+            scattering angular distribution is to be converted to a tabular
+            representation by OpenMC.  A value of `True` means that it is to be
+            converted while a value of `False` means that it will not be.
+            Defaults to `None` which leaves the default behavior of OpenMC in
+            place (the distribution is converted to a tabular representation).
+        tabular_points : int
+            This parameter is not used unless the ``tabular_legendre``
+            parameter is set to `True`.  In this case, this parameter sets the
+            number of equally-spaced points in the domain of [-1,1] to be used
+            in building the tabular distribution. Default is `33`.
+
+        Returns
+        -------
+        xsdata : openmc.XSdata
+            Multi-Group Cross Section data set object.
+
+        Raises
+        ------
+        ValueError
+            When the Library object is initialized with insufficient types of
+            cross sections for the Library.
+
+        See also
+        --------
+        Library.create_mg_library()
+
+        """
+
+        cv.check_type('domain', domain, (openmc.Material, openmc.Cell,
+                                         openmc.Cell))
+        cv.check_type('xsdata_name', xsdata_name, basestring)
+        cv.check_type('nuclide', nuclide, basestring)
+        cv.check_value('xs_type', xs_type, ['macro', 'micro'])
+        cv.check_type('xs_id', xs_id, basestring)
+        cv.check_type('order', order, (type(None), Integral))
+        if order is not None:
+            cv.check_greater_than('order', order, 0, equality=True)
+            cv.check_less_than('order', order, 10, equality=True)
+        cv.check_type('tabular_legendre', tabular_legendre,
+                      (type(None), bool))
+        if tabular_points is not None:
+            cv.check_greater_than('tabular_points', tabular_points, 1)
+
+        # Make sure statepoint has been loaded
+        if self._sp_filename is None:
+            msg = 'A StatePoint must be loaded before calling ' \
+                  'the create_mg_library() function'
+            raise ValueError(msg)
+
+        # If gathering material-specific data, set the xs_type to macro
+        if not self.by_nuclide:
+            xs_type = 'macro'
+
+        # Build & add metadata to XSdata object
+        name = xsdata_name
+        if nuclide is not 'total':
+            name += '_' + nuclide
+        name += '.' + xs_id
+        xsdata = openmc.XSdata(name, self.energy_groups)
+
+        if order is None:
+            # Set the order to the Library's order (the defualt behavior)
+            xsdata.order = self.legendre_order
+        else:
+            # Set the order of the xsdata object to the minimum of
+            # the provided order or the Library's order.
+            xsdata.order = min(order, self.legendre_order)
+
+        # Set the tabular_legendre option if needed
+        if tabular_legendre is not None:
+            xsdata.tabular_legendre = {'enable': tabular_legendre,
+                                       'num_points': tabular_points}
+
+        if nuclide is not 'total':
+            xsdata.zaid = self._nuclides[nuclide][0]
+            xsdata.awr = self._nuclides[nuclide][1]
+
+        # Now get xs data itself
+        if 'nu-transport' in self.mgxs_types and self.correction == 'P0':
+            mymgxs = self.get_mgxs(domain, 'nu-transport')
+            xsdata.set_total_mgxs(mymgxs, xs_type=xs_type, nuclide=[nuclide])
+        elif 'total' in self.mgxs_types:
+            mymgxs = self.get_mgxs(domain, 'total')
+            xsdata.set_total_mgxs(mymgxs, xs_type=xs_type, nuclide=[nuclide])
+        if 'absorption' in self.mgxs_types:
+            mymgxs = self.get_mgxs(domain, 'absorption')
+            xsdata.set_absorption_mgxs(mymgxs, xs_type=xs_type,
+                                       nuclide=[nuclide])
+        if 'fission' in self.mgxs_types:
+            mymgxs = self.get_mgxs(domain, 'fission')
+            xsdata.set_fission_mgxs(mymgxs, xs_type=xs_type,
+                                    nuclide=[nuclide])
+        if 'kappa-fission' in self.mgxs_types:
+            mymgxs = self.get_mgxs(domain, 'kappa-fission')
+            xsdata.set_kappa_fission_mgxs(mymgxs, xs_type=xs_type,
+                                          nuclide=[nuclide])
+        # For chi and nu-fission we can either have only a nu-fission matrix
+        # provided, or vectors of chi and nu-fission provided
+        if 'nu-fission matrix' in self.mgxs_types:
+            mymgxs = self.get_mgxs(domain, 'nu-fission matrix')
+            xsdata.set_nu_fission_mgxs(mymgxs, xs_type=xs_type,
+                                       nuclide=[nuclide])
+        else:
+            if 'chi' in self.mgxs_types:
+                mymgxs = self.get_mgxs(domain, 'chi')
+                xsdata.set_chi_mgxs(mymgxs, xs_type=xs_type, nuclide=[nuclide])
+            if 'nu-fission' in self.mgxs_types:
+                mymgxs = self.get_mgxs(domain, 'nu-fission')
+                xsdata.set_nu_fission_mgxs(mymgxs, xs_type=xs_type,
+                                           nuclide=[nuclide])
+        # If multiplicity matrix is available, prefer that
+        if 'multiplicity matrix' in self.mgxs_types:
+            mymgxs = self.get_mgxs(domain, 'multiplicity matrix')
+            xsdata.set_multiplicity_mgxs(mymgxs, xs_type=xs_type,
+                                         nuclide=[nuclide])
+            using_multiplicity = True
+        # multiplicity wil fall back to using scatter and nu-scatter
+        elif ((('scatter matrix' in self.mgxs_types) and
+               ('nu-scatter matrix' in self.mgxs_types))):
+            scatt_mgxs = self.get_mgxs(domain, 'scatter matrix')
+            nuscatt_mgxs = self.get_mgxs(domain, 'nu-scatter matrix')
+            xsdata.set_multiplicity_mgxs(nuscatt_mgxs, scatt_mgxs,
+                                         xs_type=xs_type, nuclide=[nuclide])
+            using_multiplicity = True
+        else:
+            using_multiplicity = False
+
+        if using_multiplicity:
+            nuscatt_mgxs = self.get_mgxs(domain, 'nu-scatter matrix')
+            xsdata.set_scatter_mgxs(nuscatt_mgxs, xs_type=xs_type,
+                                    nuclide=[nuclide])
+        else:
+            if 'nu-scatter matrix' in self.mgxs_types:
+                nuscatt_mgxs = self.get_mgxs(domain, 'nu-scatter matrix')
+                xsdata.set_scatter_mgxs(nuscatt_mgxs, xs_type=xs_type,
+                                        nuclide=[nuclide])
+
+                # Since we are not using multiplicity, then
+                # scattering multiplication (nu-scatter) must be
+                # accounted for approximately by using an adjusted
+                # absorption cross section.
+                if 'total' in self.mgxs_types:
+                    xsdata.absorption = \
+                        np.subtract(xsdata.total,
+                                    np.sum(xsdata.scatter[0, :, :], axis=1))
+
+        return xsdata
+
+    def create_mg_library(self, xs_type='macro', xsdata_names=None,
+                          xs_ids=None, tabular_legendre=None,
+                          tabular_points=33):
+        """Creates an openmc.MGXSLibrary object to contain the MGXS data for the
+        Multi-Group mode of OpenMC.
+
+        Parameters
+        ----------
+        xs_type: {'macro', 'micro'}
+            Provide the macro or micro cross section in units of cm^-1 or
+            barns. Defaults to 'macro'. If the Library object is not tallied by
+            nuclide this will be set to 'macro' regardless.
+        xsdata_names : Iterable of str
+            List of names to apply to the "xsdata" entries in the
+            resultant mgxs data file. Defaults to 'set1', 'set2', ...
+        xs_ids : str or Iterable of str
+            Cross section set identifier (i.e., '71c') for all
+            data sets (if only str) or for each individual one
+            (if iterable of str). Defaults to '1m'.
+        tabular_legendre : None or bool
+            Flag to denote whether or not the Legendre expansion of the
+            scattering angular distribution is to be converted to a tabular
+            representation by OpenMC.  A value of `True` means that it is to be
+            converted while a value of `False` means that it will not be.
+            Defaults to `None` which leaves the default behavior of OpenMC in
+            place (the distribution is converted to a tabular representation).
+        tabular_points : int
+            This parameter is not used unless the ``tabular_legendre``
+            parameter is set to `True`.  In this case, this parameter sets the
+            number of equally-spaced points in the domain of [-1,1] to be used
+            in building the tabular distribution. Default is `33`.
+
+        Returns
+        -------
+        mgxs_file : openmc.MGXSLibrary
+            Multi-Group Cross Section File that is ready to be printed to the
+            file of choice by the user.
+
+        Raises
+        ------
+        ValueError
+            When the Library object is initialized with insufficient types of
+            cross sections for the Library.
+
+        See also
+        --------
+        Library.dump_to_file()
+        Library.create_mg_mode()
+
+        """
+
+        # Check to ensure the Library contains the correct
+        # multi-group cross section types
+        self.check_library_for_openmc_mgxs()
+
+        cv.check_value('xs_type', xs_type, ['macro', 'micro'])
+        if xsdata_names is not None:
+            cv.check_iterable_type('xsdata_names', xsdata_names, basestring)
+        if xs_ids is not None:
+            if isinstance(xs_ids, basestring):
+                # If we only have a string lets convert it now to a list
+                # of strings.
+                xs_ids = [xs_ids for i in range(len(self.domains))]
+            else:
+                cv.check_iterable_type('xs_ids', xs_ids, basestring)
+        else:
+            xs_ids = ['1m' for i in range(len(self.domains))]
+
+        # If gathering material-specific data, set the xs_type to macro
+        if not self.by_nuclide:
+            xs_type = 'macro'
+
+        # Initialize file
+        mgxs_file = openmc.MGXSLibrary(self.energy_groups)
+
+        # Create the xsdata object and add it to the mgxs_file
+        for i, domain in enumerate(self.domains):
+            if self.by_nuclide:
+                nuclides = list(domain.get_all_nuclides().keys())
+            else:
+                nuclides = ['total']
+            for nuclide in nuclides:
+                # Build & add metadata to XSdata object
+                if xsdata_names is None:
+                    xsdata_name = 'set' + str(i + 1)
+                else:
+                    xsdata_name = xsdata_names[i]
+                if nuclide is not 'total':
+                    xsdata_name += '_' + nuclide
+
+                xsdata = self.get_xsdata(domain, xsdata_name, nuclide=nuclide,
+                                         xs_type=xs_type, xs_id=xs_ids[i],
+                                         tabular_legendre=tabular_legendre,
+                                         tabular_points=tabular_points)
+
+                mgxs_file.add_xsdata(xsdata)
+
+        return mgxs_file
+
+    def create_mg_mode(self, xsdata_names=None, xs_ids=None,
+                       tabular_legendre=None, tabular_points=33):
+        """Creates an openmc.MGXSLibrary object to contain the MGXS data for the
+        Multi-Group mode of OpenMC as well as the associated openmc.Materials
+        and openmc.Geometry objects. The created Geometry is the same as that
+        used to generate the MGXS data, with the only differences being
+        modifications to point to newly-created Materials which point to the
+        multi-group data. This method only creates a macroscopic
+        MGXS Library even if nuclidic tallies are specified in the Library.
+
+        Parameters
+        ----------
+        xsdata_names : Iterable of str
+            List of names to apply to the "xsdata" entries in the
+            resultant mgxs data file. Defaults to 'set1', 'set2', ...
+        xs_ids : str or Iterable of str
+            Cross section set identifier (i.e., '71c') for all
+            data sets (if only str) or for each individual one
+            (if iterable of str). Defaults to '1m'.
+        tabular_legendre : None or bool
+            Flag to denote whether or not the Legendre expansion of the
+            scattering angular distribution is to be converted to a tabular
+            representation by OpenMC.  A value of `True` means that it is to be
+            converted while a value of `False` means that it will not be.
+            Defaults to `None` which leaves the default behavior of OpenMC in
+            place (the distribution is converted to a tabular representation).
+        tabular_points : int
+            This parameter is not used unless the ``tabular_legendre``
+            parameter is set to `True`.  In this case, this parameter sets the
+            number of equally-spaced points in the domain of [-1,1] to be used
+            in building the tabular distribution. Default is `33`.
+
+        Returns
+        -------
+        mgxs_file : openmc.MGXSLibrary
+            Multi-Group Cross Section File that is ready to be printed to the
+            file of choice by the user.
+        materials : openmc.Materials
+            Materials file ready to be printed with all the macroscopic data
+            present within this Library.
+        geometry : openmc.Geometry
+            Materials file ready to be printed with all the macroscopic data
+            present within this Library.
+
+        Raises
+        ------
+        ValueError
+            When the Library object is initialized with insufficient types of
+            cross sections for the Library.
+
+        See also
+        --------
+        Library.create_mg_library()
+        Library.dump_to_file()
+
+        """
+
+        # Check to ensure the Library contains the correct
+        # multi-group cross section types
+        self.check_library_for_openmc_mgxs()
+
+        if xsdata_names is not None:
+            cv.check_iterable_type('xsdata_names', xsdata_names, basestring)
+        if xs_ids is not None:
+            if isinstance(xs_ids, basestring):
+                # If we only have a string lets convert it now to a list
+                # of strings.
+                xs_ids = [xs_ids for i in range(len(self.domains))]
+            else:
+                cv.check_iterable_type('xs_ids', xs_ids, basestring)
+        else:
+            xs_ids = ['1m' for i in range(len(self.domains))]
+        xs_type = 'macro'
+
+        # Initialize MGXS File
+        mgxs_file = openmc.MGXSLibrary(self.energy_groups)
+
+        # Create a copy of the Geometry to differentiate for these Macroscopics
+        geometry = copy.deepcopy(self.openmc_geometry)
+        materials = openmc.Materials()
+
+        # Get all Cells from the Geometry for differentiation
+        all_cells = geometry.get_all_material_cells()
+
+        # Create the xsdata object and add it to the mgxs_file
+        for i, domain in enumerate(self.domains):
+
+            # Build & add metadata to XSdata object
+            if xsdata_names is None:
+                xsdata_name = 'set' + str(i + 1)
+            else:
+                xsdata_name = xsdata_names[i]
+
+            # Create XSdata and Macroscopic for this domain
+            xsdata = self.get_xsdata(domain, xsdata_name, nuclide='total',
+                                     xs_type=xs_type, xs_id=xs_ids[i],
+                                     tabular_legendre=tabular_legendre,
+                                     tabular_points=tabular_points)
+            mgxs_file.add_xsdata(xsdata)
+            macroscopic = openmc.Macroscopic(name=xsdata_name, xs=xs_ids[i])
+
+            # Create Material and add to collection
+            material = openmc.Material(name=xsdata_name + '.' + xs_ids[i])
+            material.add_macroscopic(macroscopic)
+            materials.append(material)
+
+            # Differentiate Geometry with new Material
+            if self.domain_type == 'material':
+                # Fill all appropriate Cells with new Material
+                for cell in all_cells:
+                    if cell.fill.id == domain.id:
+                        cell.fill = material
+
+            elif self.domain_type == 'cell':
+                for cell in all_cells:
+                    if cell.id == domain.id:
+                        cell.fill = material
+
+        return mgxs_file, materials, geometry
+
+    def check_library_for_openmc_mgxs(self):
+        """This routine will check the MGXS Types within a Library
+        to ensure the MGXS types provided can be used to create
+        a MGXS Library for OpenMC's Multi-Group mode.
+
+        The rules to check include:
+
+        - Either total or transport should be present.
+
+          - Both can be available if one wants, but we should
+            use whatever corresponds to Library.correction (if P0: transport)
+
+        - Absorption and total (or transport) are required.
+        - A nu-fission cross section and chi values are not required as a
+          fixed source problem could be the target.
+        - Fission and kappa-fission are not required as they are only
+          needed to support tallies the user may wish to request.
+        - A nu-scatter matrix is required.
+
+          - Having a multiplicity matrix is preferred.
+          - Having both nu-scatter (of any order) and scatter
+            (at least isotropic) matrices is the second choice.
+          - If only nu-scatter, need total (not transport), to
+            be used in adjusting absorption
+            (i.e., reduced_abs = tot - nuscatt)
+
+        See also
+        --------
+        Library.create_mg_library()
+        Library.create_mg_mode()
+
+        """
+
+        error_flag = False
+        # Ensure absorption is present
+        if 'absorption' not in self.mgxs_types:
+            error_flag = True
+            warn('An "absorption" MGXS type is required but not provided.')
+        # Ensure nu-scattering matrix is required
+        if 'nu-scatter matrix' not in self.mgxs_types:
+            error_flag = True
+            warn('A "nu-scatter matrix" MGXS type is required but not provided.')
+        else:
+            # Ok, now see the status of scatter and/or multiplicity
+            if ((('scatter matrix' not in self.mgxs_types) and
+                 ('multiplicity matrix' not in self.mgxs_types))):
+                # We dont have data needed for multiplicity matrix, therefore
+                # we need total, and not transport.
+                if 'total' not in self.mgxs_types:
+                    error_flag = True
+                    warn('A "total" MGXS type is required if a '
+                         'scattering matrix is not provided.')
+        # Total or transport can be present, but if using
+        # self.correction=="P0", then we should use transport.
+        if (((self.correction is "P0") and
+             ('nu-transport' not in self.mgxs_types))):
+            error_flag = True
+            warn('A "nu-transport" MGXS type is required since a "P0" '
+                 'correction is applied, but a "nu-transport" MGXS is '
+                 'not provided.')
+        elif (((self.correction is None) and
+               ('total' not in self.mgxs_types))):
+            error_flag = True
+            warn('A "total" MGXS type is required, but not provided.')
+
+        if error_flag:
+            raise ValueError('Invalid MGXS configuration encountered.')
diff --git a/openmc/mgxs/mgxs.py b/openmc/mgxs/mgxs.py
index 635c822e31..2c0cb21c60 100644
--- a/openmc/mgxs/mgxs.py
+++ b/openmc/mgxs/mgxs.py
@@ -1,7 +1,8 @@
 from __future__ import division
 
-from collections import Iterable, OrderedDict
+from collections import OrderedDict
 from numbers import Integral
+import warnings
 import os
 import sys
 import copy
@@ -21,14 +22,18 @@ if sys.version_info[0] >= 3:
 # Supported cross section types
 MGXS_TYPES = ['total',
               'transport',
+              'nu-transport',
               'absorption',
               'capture',
               'fission',
               'nu-fission',
+              'kappa-fission',
               'scatter',
               'nu-scatter',
               'scatter matrix',
               'nu-scatter matrix',
+              'multiplicity matrix',
+              'nu-fission matrix',
               'chi']
 
 
@@ -41,28 +46,28 @@ DOMAIN_TYPES = ['cell',
 
 # Supported domain classes
 # TODO: Implement Mesh domains
-_DOMAINS = [openmc.Cell,
-           openmc.Universe,
-           openmc.Material]
+_DOMAINS = (openmc.Cell,
+            openmc.Universe,
+            openmc.Material)
 
 
 class MGXS(object):
-    """An abstract multi-group cross section for some energy group structure 
+    """An abstract multi-group cross section for some energy group structure
     within some spatial domain.
 
     This class can be used for both OpenMC input generation and tally data
     post-processing to compute spatially-homogenized and energy-integrated
-    multi-group cross sections for deterministic neutronics calculations.
+    multi-group cross sections for multi-group neutronics calculations.
 
     NOTE: Users should instantiate the subclasses of this abstract class.
 
     Parameters
     ----------
-    domain : Material or Cell or Universe
+    domain : openmc.Material or openmc.Cell or openmc.Universe
         The domain for spatial homogenization
     domain_type : {'material', 'cell', 'distribcell', 'universe'}
         The domain type for spatial homogenization
-    energy_groups : EnergyGroups
+    energy_groups : openmc.mgxs.EnergyGroups
         The energy group structure for energy condensation
     by_nuclide : bool
         If true, computes cross sections for each nuclide in domain
@@ -82,27 +87,51 @@ class MGXS(object):
         Domain for spatial homogenization
     domain_type : {'material', 'cell', 'distribcell', 'universe'}
         Domain type for spatial homogenization
-    energy_groups : EnergyGroups
+    energy_groups : openmc.mgxs.EnergyGroups
         Energy group structure for energy condensation
-    tally_trigger : Trigger
+    tally_trigger : openmc.Trigger
         An (optional) tally precision trigger given to each tally used to
         compute the cross section
-    tallies : OrderedDict
+    scores : list of str
+        The scores in each tally used to compute the multi-group cross section
+    filters : list of openmc.Filter
+        The filters in each tally used to compute the multi-group cross section
+    tally_keys : list of str
+        The keys into the tallies dictionary for each tally used to compute
+        the multi-group cross section
+    estimator : {'tracklength', 'analog'}
+        The tally estimator used to compute the multi-group cross section
+    tallies : collections.OrderedDict
         OpenMC tallies needed to compute the multi-group cross section
-    xs_tally : Tally
+    rxn_rate_tally : openmc.Tally
+        Derived tally for the reaction rate tally used in the numerator to
+        compute the multi-group cross section. This attribute is None
+        unless the multi-group cross section has been computed.
+    xs_tally : openmc.Tally
         Derived tally for the multi-group cross section. This attribute
         is None unless the multi-group cross section has been computed.
-    num_sumbdomains : Integral
+    num_subdomains : int
         The number of subdomains is unity for 'material', 'cell' and 'universe'
         domain types. When the  This is equal to the number of cell instances
-        for 'distribcell' domain types (it is equal to unity prior to loading 
+        for 'distribcell' domain types (it is equal to unity prior to loading
         tally data from a statepoint file).
-    num_nuclides : Integral
+    num_nuclides : int
         The number of nuclides for which the multi-group cross section is
         being tracked. This is unity if the by_nuclide attribute is False.
-    nuclides : list of str or 'sum'
-        A list of nuclide string names (e.g., 'U-238', 'O-16') when by_nuclide
-        is True and 'sum' when by_nuclide is False.
+    nuclides : Iterable of str or 'sum'
+        The optional user-specified nuclides for which to compute cross
+        sections (e.g., 'U-238', 'O-16'). If by_nuclide is True but nuclides
+        are not specified by the user, all nuclides in the spatial domain
+        are included. This attribute is 'sum' if by_nuclide is false.
+    sparse : bool
+        Whether or not the MGXS' tallies use SciPy's LIL sparse matrix format
+        for compressed data storage
+    loaded_sp : bool
+        Whether or not a statepoint file has been loaded with tally data
+    derived : bool
+        Whether or not the MGXS is merged from one or more other MGXS
+    hdf5_key : str
+        The key used to index multi-group cross sections in an HDF5 data store
 
     """
 
@@ -115,12 +144,18 @@ class MGXS(object):
         self._name = ''
         self._rxn_type = None
         self._by_nuclide = None
+        self._nuclides = None
         self._domain = None
         self._domain_type = None
         self._energy_groups = None
         self._tally_trigger = None
         self._tallies = None
+        self._rxn_rate_tally = None
         self._xs_tally = None
+        self._sparse = False
+        self._loaded_sp = False
+        self._derived = False
+        self._hdf5_key = None
 
         self.name = name
         self.by_nuclide = by_nuclide
@@ -141,11 +176,15 @@ class MGXS(object):
             clone._name = self.name
             clone._rxn_type = self.rxn_type
             clone._by_nuclide = self.by_nuclide
+            clone._nuclides = copy.deepcopy(self._nuclides)
             clone._domain = self.domain
             clone._domain_type = self.domain_type
             clone._energy_groups = copy.deepcopy(self.energy_groups, memo)
             clone._tally_trigger = copy.deepcopy(self.tally_trigger, memo)
-            clone._xs_tally = copy.deepcopy(self.xs_tally, memo)
+            clone._rxn_rate_tally = copy.deepcopy(self._rxn_rate_tally, memo)
+            clone._xs_tally = copy.deepcopy(self._xs_tally, memo)
+            clone._sparse = self.sparse
+            clone._derived = self.derived
 
             clone._tallies = OrderedDict()
             for tally_type, tally in self.tallies.items():
@@ -191,18 +230,92 @@ class MGXS(object):
     def num_groups(self):
         return self.energy_groups.num_groups
 
+    @property
+    def scores(self):
+        return ['flux', self.rxn_type]
+
+    @property
+    def filters(self):
+        group_edges = self.energy_groups.group_edges
+        energy_filter = openmc.Filter('energy', group_edges)
+        return [[energy_filter]] * len(self.scores)
+
+    @property
+    def tally_keys(self):
+        return self.scores
+
+    @property
+    def estimator(self):
+        return 'tracklength'
+
     @property
     def tallies(self):
+
+        # Instantiate tallies if they do not exist
+        if self._tallies is None:
+
+            # Initialize a collection of Tallies
+            self._tallies = OrderedDict()
+
+            # Create a domain Filter object
+            domain_filter = openmc.Filter(self.domain_type, self.domain.id)
+
+            # Create each Tally needed to compute the multi group cross section
+            tally_metadata = zip(self.scores, self.tally_keys, self.filters)
+            for score, key, filters in tally_metadata:
+                self._tallies[key] = openmc.Tally(name=self.name)
+                self._tallies[key].scores = [score]
+                self._tallies[key].estimator = self.estimator
+                self._tallies[key].filters = [domain_filter]
+
+                # If a tally trigger was specified, add it to each tally
+                if self.tally_trigger:
+                    trigger_clone = copy.deepcopy(self.tally_trigger)
+                    trigger_clone.scores = [score]
+                    self._tallies[key].triggers.append(trigger_clone)
+
+                # Add non-domain specific Filters (e.g., 'energy') to the Tally
+                for add_filter in filters:
+                    self._tallies[key].filters.append(add_filter)
+
+                # If this is a by-nuclide cross-section, add nuclides to Tally
+                if self.by_nuclide and score != 'flux':
+                    all_nuclides = self.get_all_nuclides()
+                    for nuclide in all_nuclides:
+                        self._tallies[key].nuclides.append(nuclide)
+                else:
+                    self._tallies[key].nuclides.append('total')
+
         return self._tallies
 
+    @property
+    def rxn_rate_tally(self):
+        if self._rxn_rate_tally is None:
+            self._rxn_rate_tally = self.tallies[self.rxn_type]
+            self._rxn_rate_tally.sparse = self.sparse
+
+        return self._rxn_rate_tally
+
     @property
     def xs_tally(self):
+        if self._xs_tally is None:
+            if self.tallies is None:
+                msg = 'Unable to get xs_tally since tallies have ' \
+                      'not been loaded from a statepoint'
+                raise ValueError(msg)
+
+            self._xs_tally = self.rxn_rate_tally / self.tallies['flux']
+            self._compute_xs()
+
         return self._xs_tally
 
+    @property
+    def sparse(self):
+        return self._sparse
+
     @property
     def num_subdomains(self):
-        tally = list(self.tallies.values())[0]
-        domain_filter = tally.find_filter(self.domain_type)
+        domain_filter = self.xs_tally.find_filter(self.domain_type)
         return domain_filter.num_bins
 
     @property
@@ -219,6 +332,21 @@ class MGXS(object):
         else:
             return 'sum'
 
+    @property
+    def loaded_sp(self):
+        return self._loaded_sp
+
+    @property
+    def derived(self):
+        return self._derived
+
+    @property
+    def hdf5_key(self):
+        if self._hdf5_key is not None:
+            return self._hdf5_key
+        else:
+            return self._rxn_type
+
     @name.setter
     def name(self, name):
         cv.check_type('name', name, basestring)
@@ -229,14 +357,28 @@ class MGXS(object):
         cv.check_type('by_nuclide', by_nuclide, bool)
         self._by_nuclide = by_nuclide
 
+    @nuclides.setter
+    def nuclides(self, nuclides):
+        cv.check_iterable_type('nuclides', nuclides, basestring)
+        self._nuclides = nuclides
+
     @domain.setter
     def domain(self, domain):
-        cv.check_type('domain', domain, tuple(_DOMAINS))
+        cv.check_type('domain', domain, _DOMAINS)
         self._domain = domain
 
+        # Assign a domain type
+        if self.domain_type is None:
+            if isinstance(domain, openmc.Material):
+                self._domain_type = 'material'
+            elif isinstance(domain, openmc.Cell):
+                self._domain_type = 'cell'
+            elif isinstance(domain, openmc.Universe):
+                self._domain_type = 'universe'
+
     @domain_type.setter
     def domain_type(self, domain_type):
-        cv.check_value('domain type', domain_type, tuple(DOMAIN_TYPES))
+        cv.check_value('domain type', domain_type, DOMAIN_TYPES)
         self._domain_type = domain_type
 
     @energy_groups.setter
@@ -249,6 +391,31 @@ class MGXS(object):
         cv.check_type('tally trigger', tally_trigger, openmc.Trigger)
         self._tally_trigger = tally_trigger
 
+    @sparse.setter
+    def sparse(self, sparse):
+        """Convert tally data from NumPy arrays to SciPy list of lists (LIL)
+        sparse matrices, and vice versa.
+
+        This property may be used to reduce the amount of data in memory during
+        tally data processing. The tally data will be stored as SciPy LIL
+        matrices internally within the Tally object. All tally data access
+        properties and methods will return data as a dense NumPy array.
+
+        """
+
+        cv.check_type('sparse', sparse, bool)
+
+        # Sparsify or densify the derived MGXS tallies and the base tallies
+        if self._xs_tally:
+            self.xs_tally.sparse = sparse
+        if self._rxn_rate_tally:
+            self.rxn_rate_tally.sparse = sparse
+
+        for tally_name in self.tallies:
+            self.tallies[tally_name].sparse = sparse
+
+        self._sparse = sparse
+
     @staticmethod
     def get_mgxs(mgxs_type, domain=None, domain_type=None,
                  energy_groups=None, by_nuclide=False, name=''):
@@ -260,13 +427,13 @@ class MGXS(object):
 
         Parameters
         ----------
-        mgxs_type : {'total', 'transport', 'absorption', 'capture', 'fission', 'nu-fission', 'scatter', 'nu-scatter', 'scatter matrix', 'nu-scatter matrix', 'chi'}
+        mgxs_type : {'total', 'transport', 'nu-transport', 'absorption', 'capture', 'fission', 'nu-fission', 'kappa-fission', 'scatter', 'nu-scatter', 'scatter matrix', 'nu-scatter matrix', 'multiplicity matrix', 'nu-fission matrix', chi'}
             The type of multi-group cross section object to return
-        domain : Material or Cell or Universe
+        domain : openmc.Material or openmc.Cell or openmc.Universe
             The domain for spatial homogenization
         domain_type : {'material', 'cell', 'distribcell', 'universe'}
             The domain type for spatial homogenization
-        energy_groups : EnergyGroups
+        energy_groups : openmc.mgxs.EnergyGroups
             The energy group structure for energy condensation
         by_nuclide : bool
             If true, computes cross sections for each nuclide in domain.
@@ -277,7 +444,7 @@ class MGXS(object):
 
         Returns
         -------
-        MGXS
+        openmc.mgxs.MGXS
             A subclass of the abstract MGXS class for the multi-group cross
             section type requested by the user
 
@@ -289,6 +456,8 @@ class MGXS(object):
             mgxs = TotalXS(domain, domain_type, energy_groups)
         elif mgxs_type == 'transport':
             mgxs = TransportXS(domain, domain_type, energy_groups)
+        elif mgxs_type == 'nu-transport':
+            mgxs = NuTransportXS(domain, domain_type, energy_groups)
         elif mgxs_type == 'absorption':
             mgxs = AbsorptionXS(domain, domain_type, energy_groups)
         elif mgxs_type == 'capture':
@@ -297,6 +466,8 @@ class MGXS(object):
             mgxs = FissionXS(domain, domain_type, energy_groups)
         elif mgxs_type == 'nu-fission':
             mgxs = NuFissionXS(domain, domain_type, energy_groups)
+        elif mgxs_type == 'kappa-fission':
+            mgxs = KappaFissionXS(domain, domain_type, energy_groups)
         elif mgxs_type == 'scatter':
             mgxs = ScatterXS(domain, domain_type, energy_groups)
         elif mgxs_type == 'nu-scatter':
@@ -305,6 +476,10 @@ class MGXS(object):
             mgxs = ScatterMatrixXS(domain, domain_type, energy_groups)
         elif mgxs_type == 'nu-scatter matrix':
             mgxs = NuScatterMatrixXS(domain, domain_type, energy_groups)
+        elif mgxs_type == 'multiplicity matrix':
+            mgxs = MultiplicityMatrixXS(domain, domain_type, energy_groups)
+        elif mgxs_type == 'nu-fission matrix':
+            mgxs = NuFissionMatrixXS(domain, domain_type, energy_groups)
         elif mgxs_type == 'chi':
             mgxs = Chi(domain, domain_type, energy_groups)
 
@@ -331,8 +506,14 @@ class MGXS(object):
         if self.domain is None:
             raise ValueError('Unable to get all nuclides without a domain')
 
-        nuclides = self.domain.get_all_nuclides()
-        return nuclides.keys()
+        # If the user defined nuclides, return them
+        if self._nuclides:
+            return self._nuclides
+
+        # Otherwise, return all nuclides in the spatial domain
+        else:
+            nuclides = self.domain.get_all_nuclides()
+            return list(nuclides.keys())
 
     def get_nuclide_density(self, nuclide):
         """Get the atomic number density in units of atoms/b-cm for a nuclide
@@ -345,7 +526,7 @@ class MGXS(object):
 
         Returns
         -------
-        Real
+        float
             The atomic number density (atom/b-cm) for the nuclide of interest
 
         Raises
@@ -384,7 +565,7 @@ class MGXS(object):
 
         Returns
         -------
-        ndarray of Real
+        numpy.ndarray of float
             An array of the atomic number densities (atom/b-cm) for each of the
             nuclides in the spatial domain
 
@@ -420,65 +601,7 @@ class MGXS(object):
 
         return densities
 
-    def _create_tallies(self, scores, all_filters, keys, estimator):
-        """Instantiates tallies needed to compute the multi-group cross section.
-
-        This is a helper method for MGXS subclasses to create tallies
-        for input file generation. The tallies are stored in the tallies dict.
-        This method is called by each subclass' tallies property getter
-        which define the parameters given to this parent class method.
-
-        Parameters
-        ----------
-        scores : Iterable of str
-            Scores for each tally
-        all_filters : Iterable of tuple of Filter
-            Tuples of non-spatial domain filters for each tally
-        keys : Iterable of str
-            Key string used to store each tally in the tallies dictionary
-        estimator : {'analog' or 'tracklength'}
-            Type of estimator to use for each tally
-
-        """
-
-        cv.check_iterable_type('scores', scores, basestring)
-        cv.check_length('scores', scores, len(keys))
-        cv.check_iterable_type('filters', all_filters, openmc.Filter, 1, 2)
-        cv.check_type('keys', keys, Iterable, basestring)
-        cv.check_value('estimator', estimator, ['analog', 'tracklength'])
-
-        self._tallies = OrderedDict()
-
-        # Create a domain Filter object
-        domain_filter = openmc.Filter(self.domain_type, self.domain.id)
-
-        # Create each Tally needed to compute the multi group cross section
-        for score, key, filters in zip(scores, keys, all_filters):
-            self.tallies[key] = openmc.Tally(name=self.name)
-            self.tallies[key].add_score(score)
-            self.tallies[key].estimator = estimator
-            self.tallies[key].add_filter(domain_filter)
-
-            # If a tally trigger was specified, add it to each tally
-            if self.tally_trigger:
-                trigger_clone = copy.deepcopy(self.tally_trigger)
-                trigger_clone.add_score(score)
-                self.tallies[key].add_trigger(trigger_clone)
-
-            # Add all non-domain specific Filters (e.g., 'energy') to the Tally
-            for filter in filters:
-                self.tallies[key].add_filter(filter)
-
-            # If this is a by-nuclide cross-section, add all nuclides to Tally
-            if self.by_nuclide and score != 'flux':
-                all_nuclides = self.domain.get_all_nuclides()
-                for nuclide in all_nuclides:
-                    self.tallies[key].add_nuclide(nuclide)
-            else:
-                self.tallies[key].add_nuclide('total')
-
-    @abc.abstractmethod
-    def compute_xs(self):
+    def _compute_xs(self):
         """Performs generic cleanup after a subclass' uses tally arithmetic to
         compute a multi-group cross section as a derived tally.
 
@@ -496,13 +619,14 @@ class MGXS(object):
         # If computing xs for each nuclide, replace CrossNuclides with originals
         if self.by_nuclide:
             self.xs_tally._nuclides = []
-            nuclides = self.domain.get_all_nuclides()
+            nuclides = self.get_all_nuclides()
             for nuclide in nuclides:
-                self.xs_tally.add_nuclide(openmc.Nuclide(nuclide))
+                self.xs_tally.nuclides.append(openmc.Nuclide(nuclide))
 
         # Remove NaNs which may have resulted from divide-by-zero operations
-        self._xs_tally._mean = np.nan_to_num(self.xs_tally.mean)
-        self._xs_tally._std_dev = np.nan_to_num(self.xs_tally.std_dev)
+        self.xs_tally._mean = np.nan_to_num(self.xs_tally.mean)
+        self.xs_tally._std_dev = np.nan_to_num(self.xs_tally.std_dev)
+        self.xs_tally.sparse = self.sparse
 
     def load_from_statepoint(self, statepoint):
         """Extracts tallies in an OpenMC StatePoint with the data needed to
@@ -528,7 +652,7 @@ class MGXS(object):
 
         cv.check_type('statepoint', statepoint, openmc.statepoint.StatePoint)
 
-        if not statepoint.with_summary:
+        if statepoint.summary is None:
             msg = 'Unable to load data from a statepoint which has not been ' \
                   'linked with a summary file'
             raise ValueError(msg)
@@ -557,21 +681,29 @@ class MGXS(object):
             filters = []
             filter_bins = []
 
+        # Clear any tallies previously loaded from a statepoint
+        if self.loaded_sp:
+            self._tallies = None
+            self._xs_tally = None
+            self._rxn_rate_tally = None
+            self._loaded_sp = False
+
         # Find, slice and store Tallies from StatePoint
         # The tally slicing is needed if tally merging was used
         for tally_type, tally in self.tallies.items():
-            sp_tally = statepoint.get_tally(tally.scores, tally.filters,
-                                            tally.nuclides,
-                                            estimator=tally.estimator)
-            sp_tally = sp_tally.get_slice(tally.scores, filters,
-                                          filter_bins, tally.nuclides)
+            sp_tally = statepoint.get_tally(
+                tally.scores, tally.filters, tally.nuclides,
+                estimator=tally.estimator, exact_filters=True)
+            sp_tally = sp_tally.get_slice(
+                tally.scores, filters, filter_bins, tally.nuclides)
+            sp_tally.sparse = self.sparse
             self.tallies[tally_type] = sp_tally
 
-        # Compute the cross section from the tallies
-        self.compute_xs()
+        self._loaded_sp = True
 
     def get_xs(self, groups='all', subdomains='all', nuclides='all',
-               xs_type='macro', order_groups='increasing', value='mean'):
+               xs_type='macro', order_groups='increasing',
+               value='mean', **kwargs):
         """Returns an array of multi-group cross sections.
 
         This method constructs a 2D NumPy array for the requested multi-group
@@ -595,13 +727,12 @@ class MGXS(object):
             Return the cross section indexed according to increasing or
             decreasing energy groups (decreasing or increasing energies).
             Defaults to 'increasing'.
-        value : str
-            A string for the type of value to return - 'mean', 'std_dev' or
-            'rel_err' are accepted. Defaults to 'mean'.
+        value : {'mean', 'std_dev', 'rel_err'}
+            A string for the type of value to return. Defaults to 'mean'.
 
         Returns
         -------
-        ndarray
+        numpy.ndarray
             A NumPy array of the multi-group cross section indexed in the order
             each group, subdomain and nuclide is listed in the parameters.
 
@@ -613,10 +744,6 @@ class MGXS(object):
 
         """
 
-        if self.xs_tally is None:
-            msg = 'Unable to get cross section since it has not been computed'
-            raise ValueError(msg)
-
         cv.check_value('value', value, ['mean', 'std_dev', 'rel_err'])
         cv.check_value('xs_type', xs_type, ['macro', 'micro'])
 
@@ -624,14 +751,14 @@ class MGXS(object):
         filter_bins = []
 
         # Construct a collection of the domain filter bins
-        if subdomains != 'all':
-            cv.check_iterable_type('subdomains', subdomains, Integral)
+        if not isinstance(subdomains, basestring):
+            cv.check_iterable_type('subdomains', subdomains, Integral, max_depth=2)
             for subdomain in subdomains:
                 filters.append(self.domain_type)
                 filter_bins.append((subdomain,))
 
         # Construct list of energy group bounds tuples for all requested groups
-        if groups != 'all':
+        if not isinstance(groups, basestring):
             cv.check_iterable_type('groups', groups, Integral)
             for group in groups:
                 filters.append('energy')
@@ -680,10 +807,9 @@ class MGXS(object):
             # Reverse energies to align with increasing energy groups
             xs = xs[:, ::-1, :]
 
-            # Eliminate trivial dimensions
-            xs = np.squeeze(xs)
-            xs = np.atleast_1d(xs)
-
+        # Eliminate trivial dimensions
+        xs = np.squeeze(xs)
+        xs = np.atleast_1d(xs)
         return xs
 
     def get_condensed_xs(self, coarse_groups):
@@ -701,11 +827,6 @@ class MGXS(object):
 
         """
 
-        if self.xs_tally is None:
-            msg = 'Unable to get a condensed coarse group cross section ' \
-                  'since the fine group cross section has not been computed'
-            raise ValueError(msg)
-
         cv.check_type('coarse_groups', coarse_groups, EnergyGroups)
         cv.check_less_than('coarse groups', coarse_groups.num_groups,
                            self.num_groups, equality=True)
@@ -716,7 +837,10 @@ class MGXS(object):
 
         # Clone this MGXS to initialize the condensed version
         condensed_xs = copy.deepcopy(self)
-        condensed_xs.energy_groups = coarse_groups
+        condensed_xs._rxn_rate_tally = None
+        condensed_xs._xs_tally = None
+        condensed_xs._sparse = False
+        condensed_xs._energy_groups = coarse_groups
 
         # Build energy indices to sum across
         energy_indices = []
@@ -728,7 +852,7 @@ class MGXS(object):
         fine_edges = self.energy_groups.group_edges
 
         # Condense each of the tallies to the coarse group structure
-        for tally_type, tally in condensed_xs.tallies.items():
+        for tally in condensed_xs.tallies.values():
 
             # Make condensed tally derived and null out sum, sum_sq
             tally._derived = True
@@ -740,31 +864,29 @@ class MGXS(object):
             std_dev = tally.get_reshaped_data(value='std_dev')
 
             # Sum across all applicable fine energy group filters
-            for i, filter in enumerate(tally.filters):
-                if 'energy' not in filter.type:
+            for i, tally_filter in enumerate(tally.filters):
+                if 'energy' not in tally_filter.type:
                     continue
-                elif len(filter.bins) != len(fine_edges):
+                elif len(tally_filter.bins) != len(fine_edges):
                     continue
-                elif not np.allclose(filter.bins, fine_edges):
+                elif not np.allclose(tally_filter.bins, fine_edges):
                     continue
                 else:
-                    filter.bins = coarse_groups.group_edges
+                    tally_filter.bins = coarse_groups.group_edges
                     mean = np.add.reduceat(mean, energy_indices, axis=i)
                     std_dev = np.add.reduceat(std_dev**2, energy_indices, axis=i)
                     std_dev = np.sqrt(std_dev)
 
             # Reshape condensed data arrays with one dimension for all filters
-            new_shape = \
-                (tally.num_filter_bins, tally.num_nuclides, tally.num_score_bins,)
-            mean = np.reshape(mean, new_shape)
-            std_dev = np.reshape(std_dev, new_shape)
+            mean = np.reshape(mean, tally.shape)
+            std_dev = np.reshape(std_dev, tally.shape)
 
             # Override tally's data with the new condensed data
             tally._mean = mean
             tally._std_dev = std_dev
 
         # Compute the energy condensed multi-group cross section
-        condensed_xs.compute_xs()
+        condensed_xs.sparse = self.sparse
         return condensed_xs
 
     def get_subdomain_avg_xs(self, subdomains='all'):
@@ -781,7 +903,7 @@ class MGXS(object):
 
         Returns
         -------
-        MGXS
+        openmc.mgxs.MGXS
             A new MGXS averaged across the subdomains of interest
 
         Raises
@@ -792,64 +914,193 @@ class MGXS(object):
 
         """
 
-        if self.xs_tally is None:
-            msg = 'Unable to get subdomain-averaged cross section since the ' \
-                  'subdomain-distributed cross section has not been computed'
-            raise ValueError(msg)
-
         # Construct a collection of the subdomain filter bins to average across
-        if subdomains != 'all':
+        if not isinstance(subdomains, basestring):
             cv.check_iterable_type('subdomains', subdomains, Integral)
         elif self.domain_type == 'distribcell':
             subdomains = np.arange(self.num_subdomains)
         else:
-            subdomains = [0]
+            subdomains = None
 
         # Clone this MGXS to initialize the subdomain-averaged version
         avg_xs = copy.deepcopy(self)
 
-            # If domain is distribcell, make the new domain 'cell'
-        if self.domain_type == 'distribcell':
-            avg_xs.domain_type = 'cell'
+        if self.derived:
+            avg_xs._rxn_rate_tally = avg_xs.rxn_rate_tally.average(
+                filter_type=self.domain_type, filter_bins=subdomains)
+        else:
+            avg_xs._rxn_rate_tally = None
+            avg_xs._xs_tally = None
 
-        # Average each of the tallies across subdomains
-        for tally_type, tally in avg_xs.tallies.items():
-
-            # Make condensed tally derived and null out sum, sum_sq
-            tally._derived = True
-            tally._sum = None
-            tally._sum_sq = None
-
-            # Get tally data arrays reshaped with one dimension per filter
-            mean = tally.get_reshaped_data(value='mean')
-            std_dev = tally.get_reshaped_data(value='std_dev')
-
-            # Get the mean, std. dev. across requested subdomains
-            mean = np.sum(mean[subdomains, ...], axis=0)
-            std_dev = np.sum(std_dev[subdomains, ...]**2, axis=0)
-            std_dev = np.sqrt(std_dev)
-
-            # If domain is distribcell, make subdomain-averaged a 'cell' domain
-            domain_filter = tally.find_filter(self._domain_type)
-            if domain_filter.type == 'distribcell':
-                domain_filter.type = 'cell'
-                domain_filter.num_bins = 1
-
-            # Reshape averaged data arrays with one dimension for all filters
-            new_shape = \
-                (tally.num_filter_bins, tally.num_nuclides, tally.num_score_bins,)
-            mean = np.reshape(mean, new_shape)
-            std_dev = np.reshape(std_dev, new_shape)
-
-            # Override tally's data with the new condensed data
-            tally._mean = mean
-            tally._std_dev = std_dev
-
-        # Compute the subdomain-averaged multi-group cross section
-        avg_xs.compute_xs()
+            # Average each of the tallies across subdomains
+            for tally_type, tally in avg_xs.tallies.items():
+                tally_avg = tally.average(filter_type=self.domain_type,
+                                          filter_bins=subdomains)
+                avg_xs.tallies[tally_type] = tally_avg
 
+        avg_xs._domain_type = 'avg({0})'.format(self.domain_type)
+        avg_xs.sparse = self.sparse
         return avg_xs
 
+    def get_slice(self, nuclides=[], groups=[]):
+        """Build a sliced MGXS for the specified nuclides and energy groups.
+
+        This method constructs a new MGXS to encapsulate a subset of the data
+        represented by this MGXS. The subset of data to include in the tally
+        slice is determined by the nuclides and energy groups specified in
+        the input parameters.
+
+        Parameters
+        ----------
+        nuclides : list of str
+            A list of nuclide name strings
+            (e.g., ['U-235', 'U-238']; default is [])
+        groups : list of int
+            A list of energy group indices starting at 1 for the high energies
+            (e.g., [1, 2, 3]; default is [])
+
+        Returns
+        -------
+        openmc.mgxs.MGXS
+            A new MGXS object which encapsulates the subset of data requested
+            for the nuclide(s) and/or energy group(s) requested in the
+            parameters.
+
+        """
+
+        cv.check_iterable_type('nuclides', nuclides, basestring)
+        cv.check_iterable_type('energy_groups', groups, Integral)
+
+        # Build lists of filters and filter bins to slice
+        if len(groups) == 0:
+            filters = []
+            filter_bins = []
+        else:
+            filter_bins = []
+            for group in groups:
+                group_bounds = self.energy_groups.get_group_bounds(group)
+                filter_bins.append(group_bounds)
+            filter_bins = [tuple(filter_bins)]
+            filters = ['energy']
+
+        # Clone this MGXS to initialize the sliced version
+        slice_xs = copy.deepcopy(self)
+        slice_xs._rxn_rate_tally = None
+        slice_xs._xs_tally = None
+
+        # Slice each of the tallies across nuclides and energy groups
+        for tally_type, tally in slice_xs.tallies.items():
+            slice_nuclides = [nuc for nuc in nuclides if nuc in tally.nuclides]
+            if len(groups) != 0 and tally.contains_filter('energy'):
+                tally_slice = tally.get_slice(filters=filters,
+                                              filter_bins=filter_bins,
+                                              nuclides=slice_nuclides)
+            else:
+                tally_slice = tally.get_slice(nuclides=slice_nuclides)
+            slice_xs.tallies[tally_type] = tally_slice
+
+        # Assign sliced energy group structure to sliced MGXS
+        if groups:
+            new_group_edges = []
+            for group in groups:
+                group_edges = self.energy_groups.get_group_bounds(group)
+                new_group_edges.extend(group_edges)
+            new_group_edges = np.unique(new_group_edges)
+            slice_xs.energy_groups.group_edges = sorted(new_group_edges)
+
+        # Assign sliced nuclides to sliced MGXS
+        if nuclides:
+            slice_xs.nuclides = nuclides
+
+        slice_xs.sparse = self.sparse
+        return slice_xs
+
+    def can_merge(self, other):
+        """Determine if another MGXS can be merged with this one
+
+        If results have been loaded from a statepoint, then MGXS are only
+        mergeable along one and only one of enegy groups or nuclides.
+
+        Parameters
+        ----------
+        other : openmc.mgxs.MGXS
+            MGXS to check for merging
+
+        """
+
+        if not isinstance(other, type(self)):
+            return False
+
+        # Compare reaction type, energy groups, nuclides, domain type
+        if self.rxn_type != other.rxn_type:
+            return False
+        elif not self.energy_groups.can_merge(other.energy_groups):
+            return False
+        elif self.by_nuclide != other.by_nuclide:
+            return False
+        elif self.domain_type != other.domain_type:
+            return False
+        elif 'distribcell' not in self.domain_type and self.domain != other.domain:
+            return False
+        elif not self.xs_tally.can_merge(other.xs_tally):
+            return False
+        elif not self.rxn_rate_tally.can_merge(other.rxn_rate_tally):
+            return False
+
+        # If all conditionals pass then MGXS are mergeable
+        return True
+
+    def merge(self, other):
+        """Merge another MGXS with this one
+
+        MGXS are only mergeable if their energy groups and nuclides are either
+        identical or mutually exclusive. If results have been loaded from a
+        statepoint, then MGXS are only mergeable along one and only one of
+        energy groups or nuclides.
+
+        Parameters
+        ----------
+        other : openmc.mgxs.MGXS
+            MGXS to merge with this one
+
+        Returns
+        -------
+        merged_mgxs : openmc.mgxs.MGXS
+            Merged MGXS
+
+        """
+
+        if not self.can_merge(other):
+            raise ValueError('Unable to merge MGXS')
+
+        # Create deep copy of tally to return as merged tally
+        merged_mgxs = copy.deepcopy(self)
+        merged_mgxs._derived = True
+
+        # Merge energy groups
+        if self.energy_groups != other.energy_groups:
+            merged_groups = self.energy_groups.merge(other.energy_groups)
+            merged_mgxs.energy_groups = merged_groups
+
+        # Merge nuclides
+        if self.nuclides != other.nuclides:
+
+            # The nuclides must be mutually exclusive
+            for nuclide in self.nuclides:
+                if nuclide in other.nuclides:
+                    msg = 'Unable to merge MGXS with shared nuclides'
+                    raise ValueError(msg)
+
+            # Concatenate lists of nuclides for the merged MGXS
+            merged_mgxs.nuclides = self.nuclides + other.nuclides
+
+        # Null base tallies but merge reaction rate and cross section tallies
+        merged_mgxs._tallies = OrderedDict()
+        merged_mgxs._rxn_rate_tally = self.rxn_rate_tally.merge(other.rxn_rate_tally)
+        merged_mgxs._xs_tally = self.xs_tally.merge(other.xs_tally)
+
+        return merged_mgxs
+
     def print_xs(self, subdomains='all', nuclides='all', xs_type='macro'):
         """Print a string representation for the multi-group cross section.
 
@@ -871,7 +1122,7 @@ class MGXS(object):
         """
 
         # Construct a collection of the subdomains to report
-        if subdomains != 'all':
+        if not isinstance(subdomains, basestring):
             cv.check_iterable_type('subdomains', subdomains, Integral)
         elif self.domain_type == 'distribcell':
             subdomains = np.arange(self.num_subdomains, dtype=np.int)
@@ -898,7 +1149,7 @@ class MGXS(object):
         string += '{0: <16}=\t{1}\n'.format('\tDomain ID', self.domain.id)
 
         # If cross section data has not been computed, only print string header
-        if self.xs_tally is None:
+        if self.tallies is None:
             print(string)
             return
 
@@ -942,7 +1193,7 @@ class MGXS(object):
 
     def build_hdf5_store(self, filename='mgxs.h5', directory='mgxs',
                          subdomains='all', nuclides='all',
-                         xs_type='macro', append=True):
+                         xs_type='macro', row_column='inout', append=True):
         """Export the multi-group cross section data to an HDF5 binary file.
 
         This method constructs an HDF5 file which stores the multi-group
@@ -971,6 +1222,10 @@ class MGXS(object):
         xs_type: {'macro', 'micro'}
             Store the macro or micro cross section in units of cm^-1 or barns.
             Defaults to 'macro'.
+        row_column: {'inout', 'outin'}
+            Store scattering matrices indexed first by incoming group and
+            second by outgoing group ('inout'), or vice versa ('outin').
+            Defaults to 'inout'.
         append : bool
             If true, appends to an existing HDF5 file with the same filename
             directory (if one exists). Defaults to True.
@@ -985,11 +1240,6 @@ class MGXS(object):
 
         """
 
-        if self.xs_tally is None:
-            msg = 'Unable to get build HDF5 store since the ' \
-                  'cross section has not been computed'
-            raise ValueError(msg)
-
         import h5py
 
         # Make directory if it does not exist
@@ -1005,10 +1255,13 @@ class MGXS(object):
             xs_results = h5py.File(filename, 'w')
 
         # Construct a collection of the subdomains to report
-        if subdomains != 'all':
+        if not isinstance(subdomains, basestring):
             cv.check_iterable_type('subdomains', subdomains, Integral)
         elif self.domain_type == 'distribcell':
             subdomains = np.arange(self.num_subdomains, dtype=np.int)
+        elif self.domain_type == 'avg(distribcell)':
+            domain_filter = self.xs_tally.find_filter('avg(distribcell)')
+            subdomains = domain_filter.bins
         else:
             subdomains = [self.domain.id]
 
@@ -1034,7 +1287,7 @@ class MGXS(object):
         num_digits = len(str(self.num_subdomains))
 
         # Create a separate HDF5 group for each subdomain
-        for i, subdomain in enumerate(subdomains):
+        for subdomain in subdomains:
 
             # Create an HDF5 group for the subdomain
             if self.domain_type == 'distribcell':
@@ -1043,8 +1296,8 @@ class MGXS(object):
             else:
                 subdomain_group = domain_group
 
-            # Create a separate HDF5 group for the rxn type
-            rxn_group = subdomain_group.require_group(self.rxn_type)
+            # Create a separate HDF5 group for this cross section
+            rxn_group = subdomain_group.require_group(self.hdf5_key)
 
             # Create a separate HDF5 group for each nuclide
             for j, nuclide in enumerate(nuclides):
@@ -1059,9 +1312,11 @@ class MGXS(object):
 
                 # Extract the cross section for this subdomain and nuclide
                 average = self.get_xs(subdomains=[subdomain], nuclides=[nuclide],
-                                      xs_type=xs_type, value='mean')
+                                      xs_type=xs_type, value='mean',
+                                      row_column=row_column)
                 std_dev = self.get_xs(subdomains=[subdomain], nuclides=[nuclide],
-                                      xs_type=xs_type, value='std_dev')
+                                      xs_type=xs_type, value='std_dev',
+                                      row_column=row_column)
                 average = average.squeeze()
                 std_dev = std_dev.squeeze()
 
@@ -1134,9 +1389,9 @@ class MGXS(object):
                         longtable=True, index=False)
 
             # Surround LaTeX table with code needed to run pdflatex
-            with open(filename + '.tex','r') as original:
+            with open(filename + '.tex', 'r') as original:
                 data = original.read()
-            with open(filename + '.tex','w') as modified:
+            with open(filename + '.tex', 'w') as modified:
                 modified.write(
                     '\\documentclass[preview, 12pt, border=1mm]{standalone}\n')
                 modified.write('\\usepackage{caption}\n')
@@ -1147,10 +1402,10 @@ class MGXS(object):
                 modified.write('\n\\end{document}')
 
     def get_pandas_dataframe(self, groups='all', nuclides='all',
-                             xs_type='macro', summary=None):
+                             xs_type='macro', distribcell_paths=True):
         """Build a Pandas DataFrame for the MGXS data.
 
-        This method leverages the Tally.get_pandas_dataframe(...) method, but
+        This method leverages :meth:`openmc.Tally.get_pandas_dataframe`, but
         renames the columns with terminology appropriate for cross section data.
 
         Parameters
@@ -1167,12 +1422,11 @@ class MGXS(object):
         xs_type: {'macro', 'micro'}
             Return macro or micro cross section in units of cm^-1 or barns.
             Defaults to 'macro'.
-        summary : None or Summary
-            An optional Summary object to be used to construct columns for
-            distribcell tally filters (default is None). The geometric
-            information in the Summary object is embedded into a multi-index
-            column with a geometric "path" to each distribcell intance.
-            NOTE: This option requires the OpenCG Python package.
+        distribcell_paths : bool, optional
+            Construct columns for distribcell tally filters (default is True).
+            The geometric information in the Summary object is embedded into
+            a Multi-index column with a geometric "path" to each distribcell
+            instance.
 
         Returns
         -------
@@ -1187,12 +1441,7 @@ class MGXS(object):
 
         """
 
-        if self.xs_tally is None:
-            msg = 'Unable to get Pandas DataFrame since the ' \
-                  'cross section has not been computed'
-            raise ValueError(msg)
-
-        if groups != 'all':
+        if not isinstance(groups, basestring):
             cv.check_iterable_type('groups', groups, Integral)
         if nuclides != 'all' and nuclides != 'sum':
             cv.check_iterable_type('nuclides', nuclides, basestring)
@@ -1204,7 +1453,8 @@ class MGXS(object):
             # Use tally summation to sum across all nuclides
             query_nuclides = self.get_all_nuclides()
             xs_tally = self.xs_tally.summation(nuclides=query_nuclides)
-            df = xs_tally.get_pandas_dataframe(summary=summary)
+            df = xs_tally.get_pandas_dataframe(
+                distribcell_paths=distribcell_paths)
 
             # Remove nuclide column since it is homogeneous and redundant
             df.drop('nuclide', axis=1, inplace=True)
@@ -1212,47 +1462,53 @@ class MGXS(object):
         # If the user requested a specific set of nuclides
         elif self.by_nuclide and nuclides != 'all':
             xs_tally = self.xs_tally.get_slice(nuclides=nuclides)
-            df = xs_tally.get_pandas_dataframe(summary=summary)
+            df = xs_tally.get_pandas_dataframe(
+                distribcell_paths=distribcell_paths)
 
         # If the user requested all nuclides, keep nuclide column in dataframe
         else:
-            df = self.xs_tally.get_pandas_dataframe(summary=summary)
+            df = self.xs_tally.get_pandas_dataframe(
+                distribcell_paths=distribcell_paths)
 
         # Remove the score column since it is homogeneous and redundant
-        if summary and self.domain_type == 'distribcell':
-            df = df.drop('score', level=0, axis=1)
-        else:
-            df = df.drop('score', axis=1)
+        df = df.drop('score', axis=1)
 
         # Override energy groups bounds with indices
         all_groups = np.arange(self.num_groups, 0, -1, dtype=np.int)
         all_groups = np.repeat(all_groups, self.num_nuclides)
-        if 'energy [MeV]' in df and 'energyout [MeV]' in df:
-            df.rename(columns={'energy [MeV]': 'group in'}, inplace=True)
+        if 'energy low [MeV]' in df and 'energyout low [MeV]' in df:
+            df.rename(columns={'energy low [MeV]': 'group in'},
+                      inplace=True)
             in_groups = np.tile(all_groups, self.num_subdomains)
-            in_groups = np.repeat(in_groups, self.num_groups)
+            in_groups = np.repeat(in_groups, df.shape[0] / in_groups.size)
             df['group in'] = in_groups
+            del df['energy high [MeV]']
 
-            df.rename(columns={'energyout [MeV]': 'group out'}, inplace=True)
-            out_groups = \
-                np.tile(all_groups, self.num_subdomains * self.num_groups)
+            df.rename(columns={'energyout low [MeV]': 'group out'},
+                      inplace=True)
+            out_groups = np.repeat(all_groups, self.xs_tally.num_scores)
+            out_groups = np.tile(out_groups, df.shape[0] / out_groups.size)
             df['group out'] = out_groups
+            del df['energyout high [MeV]']
             columns = ['group in', 'group out']
 
-        elif 'energyout [MeV]' in df:
-            df.rename(columns={'energyout [MeV]': 'group out'}, inplace=True)
+        elif 'energyout low [MeV]' in df:
+            df.rename(columns={'energyout low [MeV]': 'group out'},
+                      inplace=True)
             in_groups = np.tile(all_groups, self.num_subdomains)
             df['group out'] = in_groups
+            del df['energyout high [MeV]']
             columns = ['group out']
 
-        elif 'energy [MeV]' in df:
-            df.rename(columns={'energy [MeV]': 'group in'}, inplace=True)
+        elif 'energy low [MeV]' in df:
+            df.rename(columns={'energy low [MeV]': 'group in'}, inplace=True)
             in_groups = np.tile(all_groups, self.num_subdomains)
             df['group in'] = in_groups
+            del df['energy high [MeV]']
             columns = ['group in']
 
         # Select out those groups the user requested
-        if groups != 'all':
+        if not isinstance(groups, basestring):
             if 'group in' in df:
                 df = df[df['group in'].isin(groups)]
             if 'group out' in df:
@@ -1264,482 +1520,128 @@ class MGXS(object):
                 densities = self.get_nuclide_densities(nuclides)
             else:
                 densities = self.get_nuclide_densities('sum')
+            densities = np.repeat(densities, len(self.rxn_rate_tally.scores))
             tile_factor = df.shape[0] / len(densities)
             df['mean'] /= np.tile(densities, tile_factor)
             df['std. dev.'] /= np.tile(densities, tile_factor)
 
         # Sort the dataframe by domain type id (e.g., distribcell id) and
         # energy groups such that data is from fast to thermal
-        df.sort([self.domain_type] + columns, inplace=True)
-
+        df.sort_values(by=[self.domain_type] + columns, inplace=True)
         return df
 
 
-class TotalXS(MGXS):
-    """A total multi-group cross section."""
-
-    def __init__(self, domain=None, domain_type=None,
-                 groups=None, by_nuclide=False, name=''):
-        super(TotalXS, self).__init__(domain, domain_type,
-                                      groups, by_nuclide, name)
-        self._rxn_type = 'total'
-
-    @property
-    def tallies(self):
-        """Construct the OpenMC tallies needed to compute this cross section.
-
-        This method constructs two tracklength tallies to compute the 'flux'
-        and 'total' reaction rates in the spatial domain and energy groups
-        of interest.
-
-        """
-
-        # Instantiate tallies if they do not exist
-        if self._tallies is None:
-
-            # Create a list of scores for each Tally to be created
-            scores = ['flux', 'total']
-            estimator = 'tracklength'
-            keys = scores
-
-            # Create the non-domain specific Filters for the Tallies
-            group_edges = self.energy_groups.group_edges
-            energy_filter = openmc.Filter('energy', group_edges)
-            filters = [[energy_filter], [energy_filter]]
-
-            # Initialize the Tallies
-            self._create_tallies(scores, filters, keys, estimator)
-
-        return self._tallies
-
-    def compute_xs(self):
-        """Computes the multi-group total cross sections using OpenMC
-        tally arithmetic.
-        """
-
-        self._xs_tally = self.tallies['total'] / self.tallies['flux']
-        super(TotalXS, self).compute_xs()
-
-
-class TransportXS(MGXS):
-    """A transport-corrected total multi-group cross section."""
-
-    def __init__(self, domain=None, domain_type=None,
-                 groups=None, by_nuclide=False, name=''):
-        super(TransportXS, self).__init__(domain, domain_type,
-                                          groups, by_nuclide, name)
-        self._rxn_type = 'transport'
-
-    @property
-    def tallies(self):
-        """Construct the OpenMC tallies needed to compute this cross section.
-
-        This method constructs three analog tallies to compute the 'flux',
-        'total' and 'scatter-P1' reaction rates in the spatial domain and
-        energy groups of interest.
-
-        """
-
-        # Instantiate tallies if they do not exist
-        if self._tallies is None:
-
-            # Create a list of scores for each Tally to be created
-            scores = ['flux', 'total', 'scatter-P1']
-            estimator = 'analog'
-            keys = scores
-
-            # Create the non-domain specific Filters for the Tallies
-            group_edges = self.energy_groups.group_edges
-            energy_filter = openmc.Filter('energy', group_edges)
-            energyout_filter = openmc.Filter('energyout', group_edges)
-            filters = [[energy_filter], [energy_filter], [energyout_filter]]
-
-            # Initialize the Tallies
-            self._create_tallies(scores, filters, keys, estimator)
-
-        return self._tallies
-
-    def compute_xs(self):
-        """Computes the multi-group transport cross sections using OpenMC
-        tally arithmetic."""
-
-        # Use tally slicing to remove scatter-P0 data from scatter-P1 tally
-        scatter_p1 = self.tallies['scatter-P1']
-        self.tallies['scatter-P1'] = scatter_p1.get_slice(scores=['scatter-P1'])
-        self.tallies['scatter-P1'].filters[-1].type = 'energy'
-
-        self._xs_tally = self.tallies['total'] - self.tallies['scatter-P1']
-        self._xs_tally /= self.tallies['flux']
-        super(TransportXS, self).compute_xs()
-
-
-class AbsorptionXS(MGXS):
-    """An absorption multi-group cross section."""
-
-    def __init__(self, domain=None, domain_type=None,
-                 groups=None, by_nuclide=False, name=''):
-        super(AbsorptionXS, self).__init__(domain, domain_type,
-                                           groups, by_nuclide, name)
-        self._rxn_type = 'absorption'
-
-    @property
-    def tallies(self):
-        """Construct the OpenMC tallies needed to compute this cross section.
-
-        This method constructs two tracklength tallies to compute the 'flux'
-        and 'absorption' reaction rates in the spatial domain and energy
-        groups of interest.
-
-        """
-
-        # Instantiate tallies if they do not exist
-        if self._tallies is None:
-
-            # Create a list of scores for each Tally to be created
-            scores = ['flux', 'absorption']
-            estimator = 'tracklength'
-            keys = scores
-
-            # Create the non-domain specific Filters for the Tallies
-            group_edges = self.energy_groups.group_edges
-            energy_filter = openmc.Filter('energy', group_edges)
-            filters = [[energy_filter], [energy_filter]]
-
-            # Initialize the Tallies
-            self._create_tallies(scores, filters, keys, estimator)
-
-        return self._tallies
-
-    def compute_xs(self):
-        """Computes the multi-group absorption cross sections using OpenMC
-        tally arithmetic."""
-
-        self._xs_tally = self.tallies['absorption'] / self.tallies['flux']
-        super(AbsorptionXS, self).compute_xs()
-
-
-class CaptureXS(MGXS):
-    """A capture multi-group cross section.
-    
-    The Neutron capture reaction rate is defined as the difference between 
-    OpenMC's 'absorption' and 'fission' reaction rate score types. This includes
-    not only radiative capture, but all forms of neutron disappearance aside
-    from fission (e.g., MT > 100).
-
-    """
-
-    def __init__(self, domain=None, domain_type=None,
-                 groups=None, by_nuclide=False, name=''):
-        super(CaptureXS, self).__init__(domain, domain_type,
-                                        groups, by_nuclide, name)
-        self._rxn_type = 'capture'
-
-    @property
-    def tallies(self):
-        """Construct the OpenMC tallies needed to compute this cross section.
-
-        This method constructs two tracklength tallies to compute the 'flux'
-        and 'capture' reaction rates in the spatial domain and energy
-        groups of interest.
-
-        """
-
-        # Instantiate tallies if they do not exist
-        if self._tallies is None:
-
-            # Create a list of scores for each Tally to be created
-            scores = ['flux', 'absorption', 'fission']
-            estimator = 'tracklength'
-            keys = scores
-
-            # Create the non-domain specific Filters for the Tallies
-            group_edges = self.energy_groups.group_edges
-            energy_filter = openmc.Filter('energy', group_edges)
-            filters = [[energy_filter], [energy_filter], [energy_filter]]
-
-            # Initialize the Tallies
-            self._create_tallies(scores, filters, keys, estimator)
-
-        return self._tallies
-
-    def compute_xs(self):
-        """Computes the multi-group capture cross sections using OpenMC
-        tally arithmetic."""
-
-        self._xs_tally = self.tallies['absorption'] - self.tallies['fission']
-        self._xs_tally /= self.tallies['flux']
-        super(CaptureXS, self).compute_xs()
-
-
-class FissionXS(MGXS):
-    """A fission multi-group cross section."""
-
-    def __init__(self, domain=None, domain_type=None,
-                 groups=None, by_nuclide=False, name=''):
-        super(FissionXS, self).__init__(domain, domain_type,
-                                        groups, by_nuclide, name)
-        self._rxn_type = 'fission'
-
-    @property
-    def tallies(self):
-        """Construct the OpenMC tallies needed to compute this cross section.
-
-        This method constructs two tracklength tallies to compute the 'flux'
-        and 'fission' reaction rates in the spatial domain and energy
-        groups of interest.
-
-        """
-
-        # Instantiate tallies if they do not exist
-        if self._tallies is None:
-
-            # Create a list of scores for each Tally to be created
-            scores = ['flux', 'fission']
-            estimator = 'tracklength'
-            keys = scores
-
-            # Create the non-domain specific Filters for the Tallies
-            group_edges = self.energy_groups.group_edges
-            energy_filter = openmc.Filter('energy', group_edges)
-            filters = [[energy_filter], [energy_filter]]
-
-            # Initialize the Tallies
-            self._create_tallies(scores, filters, keys, estimator)
-
-        return self._tallies
-
-    def compute_xs(self):
-        """Computes the multi-group fission cross sections using OpenMC
-        tally arithmetic."""
-
-        self._xs_tally = self.tallies['fission'] / self.tallies['flux']
-        super(FissionXS, self).compute_xs()
-
-
-class NuFissionXS(MGXS):
-    """A fission production multi-group cross section."""
-
-    def __init__(self, domain=None, domain_type=None,
-                 groups=None, by_nuclide=False, name=''):
-        super(NuFissionXS, self).__init__(domain, domain_type,
-                                          groups, by_nuclide, name)
-        self._rxn_type = 'nu-fission'
-
-    @property
-    def tallies(self):
-        """Construct the OpenMC tallies needed to compute this cross section.
-
-        This method constructs two tracklength tallies to compute the 'flux'
-        and 'nu-fission' reaction rates in the spatial domain and energy
-        groups of interest.
-
-        """
-
-        # Instantiate tallies if they do not exist
-        if self._tallies is None:
-
-            # Create a list of scores for each Tally to be created
-            scores = ['flux', 'nu-fission']
-            estimator = 'tracklength'
-            keys = scores
-
-            # Create the non-domain specific Filters for the Tallies
-            group_edges = self.energy_groups.group_edges
-            energy_filter = openmc.Filter('energy', group_edges)
-            filters = [[energy_filter], [energy_filter]]
-
-            # Initialize the Tallies
-            self._create_tallies(scores, filters, keys, estimator)
-
-        return self._tallies
-
-    def compute_xs(self):
-        """Computes the multi-group nu-fission cross sections using OpenMC
-        tally arithmetic."""
-
-        self._xs_tally = self.tallies['nu-fission'] / self.tallies['flux']
-        super(NuFissionXS, self).compute_xs()
-
-
-class ScatterXS(MGXS):
-    """A scatter multi-group cross section."""
-
-    def __init__(self, domain=None, domain_type=None,
-                 groups=None, by_nuclide=False, name=''):
-        super(ScatterXS, self).__init__(domain, domain_type,
-                                        groups, by_nuclide, name)
-        self._rxn_type = 'scatter'
-
-    @property
-    def tallies(self):
-        """Construct the OpenMC tallies needed to compute this cross section.
-
-        This method constructs two tracklength tallies to compute the 'flux'
-        and 'scatter' reaction rates in the spatial domain and energy
-        groups of interest.
-
-        """
-
-        # Instantiate tallies if they do not exist
-        if self._tallies is None:
-
-            # Create a list of scores for each Tally to be created
-            scores = ['flux', 'scatter']
-            estimator = 'tracklength'
-            keys = scores
-
-            # Create the non-domain specific Filters for the Tallies
-            group_edges = self.energy_groups.group_edges
-            energy_filter = openmc.Filter('energy', group_edges)
-            filters = [[energy_filter], [energy_filter]]
-
-            # Intialize the Tallies
-            self._create_tallies(scores, filters, keys, estimator)
-
-        return self._tallies
-
-    def compute_xs(self):
-        """Computes the scattering multi-group cross sections using
-        OpenMC tally arithmetic."""
-
-        self._xs_tally = self.tallies['scatter'] / self.tallies['flux']
-        super(ScatterXS, self).compute_xs()
-
-
-class NuScatterXS(MGXS):
-    """A nu-scatter multi-group cross section."""
-
-    def __init__(self, domain=None, domain_type=None,
-                 groups=None, by_nuclide=False, name=''):
-        super(NuScatterXS, self).__init__(domain, domain_type,
-                                          groups, by_nuclide, name)
-        self._rxn_type = 'nu-scatter'
-
-    @property
-    def tallies(self):
-        """Construct the OpenMC tallies needed to compute this cross section.
-
-        This method constructs two analog tallies to compute the 'flux'
-        and 'nu-scatter' reaction rates in the spatial domain and energy
-        groups of interest.
-
-        """
-
-        # Instantiate tallies if they do not exist
-        if self._tallies is None:
-
-            # Create a list of scores for each Tally to be created
-            scores = ['flux', 'nu-scatter']
-            estimator = 'analog'
-            keys = scores
-
-            # Create the non-domain specific Filters for the Tallies
-            group_edges = self.energy_groups.group_edges
-            energy_filter = openmc.Filter('energy', group_edges)
-            filters = [[energy_filter], [energy_filter]]
-
-            # Initialize the Tallies
-            self._create_tallies(scores, filters, keys, estimator)
-
-        return self._tallies
-
-    def compute_xs(self):
-        """Computes the nu-scattering multi-group cross section using OpenMC
-        tally arithmetic."""
-
-        self._xs_tally = self.tallies['nu-scatter'] / self.tallies['flux']
-        super(NuScatterXS, self).compute_xs()
-
-
-class ScatterMatrixXS(MGXS):
-    """A scattering matrix multi-group cross section.
+class MatrixMGXS(MGXS):
+    """An abstract multi-group cross section for some energy group structure
+    within some spatial domain. This class is specifically intended for
+    cross sections which depend on both the incoming and outgoing energy groups
+    and are therefore represented by matrices. Examples of this include the
+    scattering and nu-fission matrices.
+
+    This class can be used for both OpenMC input generation and tally data
+    post-processing to compute spatially-homogenized and energy-integrated
+    multi-group cross sections for multi-group neutronics calculations.
+
+    NOTE: Users should instantiate the subclasses of this abstract class.
+
+    Parameters
+    ----------
+    domain : openmc.Material or openmc.Cell or openmc.Universe
+        The domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        The domain type for spatial homogenization
+    energy_groups : openmc.mgxs.EnergyGroups
+        The energy group structure for energy condensation
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    name : str, optional
+        Name of the multi-group cross section. Used as a label to identify
+        tallies in OpenMC 'tallies.xml' file.
 
     Attributes
     ----------
-    correction : 'P0' or None
-        Apply the P0 correction to scattering matrices if set to 'P0'
+    name : str, optional
+        Name of the multi-group cross section
+    rxn_type : str
+        Reaction type (e.g., 'total', 'nu-fission', etc.)
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    domain : Material or Cell or Universe
+        Domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        Domain type for spatial homogenization
+    energy_groups : openmc.mgxs.EnergyGroups
+        Energy group structure for energy condensation
+    tally_trigger : openmc.Trigger
+        An (optional) tally precision trigger given to each tally used to
+        compute the cross section
+    scores : list of str
+        The scores in each tally used to compute the multi-group cross section
+    filters : list of openmc.Filter
+        The filters in each tally used to compute the multi-group cross section
+    tally_keys : list of str
+        The keys into the tallies dictionary for each tally used to compute
+        the multi-group cross section
+    estimator : {'tracklength', 'analog'}
+        The tally estimator used to compute the multi-group cross section
+    tallies : collections.OrderedDict
+        OpenMC tallies needed to compute the multi-group cross section
+    rxn_rate_tally : openmc.Tally
+        Derived tally for the reaction rate tally used in the numerator to
+        compute the multi-group cross section. This attribute is None
+        unless the multi-group cross section has been computed.
+    xs_tally : openmc.Tally
+        Derived tally for the multi-group cross section. This attribute
+        is None unless the multi-group cross section has been computed.
+    num_subdomains : int
+        The number of subdomains is unity for 'material', 'cell' and 'universe'
+        domain types. When the  This is equal to the number of cell instances
+        for 'distribcell' domain types (it is equal to unity prior to loading
+        tally data from a statepoint file).
+    num_nuclides : int
+        The number of nuclides for which the multi-group cross section is
+        being tracked. This is unity if the by_nuclide attribute is False.
+    nuclides : Iterable of str or 'sum'
+        The optional user-specified nuclides for which to compute cross
+        sections (e.g., 'U-238', 'O-16'). If by_nuclide is True but nuclides
+        are not specified by the user, all nuclides in the spatial domain
+        are included. This attribute is 'sum' if by_nuclide is false.
+    sparse : bool
+        Whether or not the MGXS' tallies use SciPy's LIL sparse matrix format
+        for compressed data storage
+    loaded_sp : bool
+        Whether or not a statepoint file has been loaded with tally data
+    derived : bool
+        Whether or not the MGXS is merged from one or more other MGXS
+    hdf5_key : str
+        The key used to index multi-group cross sections in an HDF5 data store
 
     """
 
-    def __init__(self, domain=None, domain_type=None,
-                 groups=None, by_nuclide=False, name=''):
-        super(ScatterMatrixXS, self).__init__(domain, domain_type,
-                                              groups, by_nuclide, name)
-        self._rxn_type = 'scatter matrix'
-        self._correction = 'P0'
-
-    def __deepcopy__(self, memo):
-        clone = super(ScatterMatrixXS, self).__deepcopy__(memo)
-        clone._correction = self.correction
-        return clone
+    # This is an abstract class which cannot be instantiated
+    __metaclass__ = abc.ABCMeta
 
     @property
-    def correction(self):
-        return self._correction
+    def filters(self):
+        # Create the non-domain specific Filters for the Tallies
+        group_edges = self.energy_groups.group_edges
+        energy = openmc.Filter('energy', group_edges)
+        energyout = openmc.Filter('energyout', group_edges)
+
+        return [[energy], [energy, energyout]]
 
     @property
-    def tallies(self):
-        """Construct the OpenMC tallies needed to compute this cross section.
-
-        This method constructs three analog tallies to compute the 'flux',
-        'scatter' and 'scatter-P1' reaction rates in the spatial domain and
-        energy groups of interest.
-
-        """
-
-        # Instantiate tallies if they do not exist
-        if self._tallies is None:
-
-            group_edges = self.energy_groups.group_edges
-            energy = openmc.Filter('energy', group_edges)
-            energyout = openmc.Filter('energyout', group_edges)
-
-            # Create a list of scores for each Tally to be created
-            if self.correction == 'P0':
-                scores = ['flux', 'scatter', 'scatter-P1']
-                filters = [[energy], [energy, energyout], [energyout]]
-            else:
-                scores = ['flux', 'scatter']
-                filters = [[energy], [energy, energyout]]
-
-            estimator = 'analog'
-            keys = scores
-
-            # Initialize the Tallies
-            self._create_tallies(scores, filters, keys, estimator)
-
-        return self._tallies
-
-    @correction.setter
-    def correction(self, correction):
-        cv.check_value('correction', correction, ('P0', None))
-        self._correction = correction
-
-    def compute_xs(self):
-        """Computes the multi-group scattering matrix using OpenMC
-        tally arithmetic."""
-
-        # If using P0 correction subtract scatter-P1 from the diagonal
-        if self.correction == 'P0':
-            scatter_p1 = self.tallies['scatter-P1']
-            scatter_p1 = scatter_p1.get_slice(scores=['scatter-P1'])
-            energy_filter = openmc.Filter(type='energy')
-            energy_filter.bins = self.energy_groups.group_edges
-            scatter_p1 = scatter_p1.diagonalize_filter(energy_filter)
-            rxn_tally = self.tallies['scatter'] - scatter_p1
-        else:
-            rxn_tally = self.tallies['scatter']
-
-        self._xs_tally = rxn_tally / self.tallies['flux']
-        super(ScatterMatrixXS, self).compute_xs()
+    def estimator(self):
+        return 'analog'
 
     def get_xs(self, in_groups='all', out_groups='all',
-               subdomains='all', nuclides='all', xs_type='macro',
-               order_groups='increasing', value='mean'):
+               subdomains='all', nuclides='all',
+               xs_type='macro', order_groups='increasing',
+               row_column='inout', value='mean', **kwargs):
         """Returns an array of multi-group cross sections.
 
-        This method constructs a 2D NumPy array for the requested scattering
-        matrix data data for one or more energy groups and subdomains.
+        This method constructs a 2D NumPy array for the requested multi-group
+        matrix data for one or more energy groups and subdomains.
 
         Parameters
         ----------
@@ -1751,9 +1653,10 @@ class ScatterMatrixXS(MGXS):
             Subdomain IDs of interest. Defaults to 'all'.
         nuclides : Iterable of str or 'all' or 'sum'
             A list of nuclide name strings (e.g., ['U-235', 'U-238']). The
-            special string 'all' will return the cross sections for all nuclides
-            in the spatial domain. The special string 'sum' will return the
-            cross section summed over all nuclides. Defaults to 'all'.
+            special string 'all' will return the cross sections for all
+            nuclides in the spatial domain. The special string 'sum' will
+            return the cross section summed over all nuclides. Defaults to
+            'all'.
         xs_type: {'macro', 'micro'}
             Return the macro or micro cross section in units of cm^-1 or barns.
             Defaults to 'macro'.
@@ -1761,9 +1664,12 @@ class ScatterMatrixXS(MGXS):
             Return the cross section indexed according to increasing or
             decreasing energy groups (decreasing or increasing energies).
             Defaults to 'increasing'.
-        value : str
-            A string for the type of value to return - 'mean', 'std_dev', or
-            'rel_err' are accepted. Defaults to the empty string.
+        row_column: {'inout', 'outin'}
+            Return the cross section indexed first by incoming group and
+            second by outgoing group ('inout'), or vice versa ('outin').
+            Defaults to 'inout'.
+        value : {'mean', 'std_dev', 'rel_err'}
+            A string for the type of value to return. Defaults to 'mean'.
 
         Returns
         -------
@@ -1779,10 +1685,6 @@ class ScatterMatrixXS(MGXS):
 
         """
 
-        if self.xs_tally is None:
-            msg = 'Unable to get cross section since it has not been computed'
-            raise ValueError(msg)
-
         cv.check_value('value', value, ['mean', 'std_dev', 'rel_err'])
         cv.check_value('xs_type', xs_type, ['macro', 'micro'])
 
@@ -1790,25 +1692,28 @@ class ScatterMatrixXS(MGXS):
         filter_bins = []
 
         # Construct a collection of the domain filter bins
-        if subdomains != 'all':
-            cv.check_iterable_type('subdomains', subdomains, Integral)
+        if not isinstance(subdomains, basestring):
+            cv.check_iterable_type('subdomains', subdomains, Integral,
+                                   max_depth=2)
             for subdomain in subdomains:
                 filters.append(self.domain_type)
                 filter_bins.append((subdomain,))
 
         # Construct list of energy group bounds tuples for all requested groups
-        if in_groups != 'all':
+        if not isinstance(in_groups, basestring):
             cv.check_iterable_type('groups', in_groups, Integral)
             for group in in_groups:
                 filters.append('energy')
-                filter_bins.append((self.energy_groups.get_group_bounds(group),))
+                filter_bins.append((
+                    self.energy_groups.get_group_bounds(group),))
 
         # Construct list of energy group bounds tuples for all requested groups
-        if out_groups != 'all':
+        if not isinstance(out_groups, basestring):
             cv.check_iterable_type('groups', out_groups, Integral)
             for group in out_groups:
                 filters.append('energyout')
-                filter_bins.append((self.energy_groups.get_group_bounds(group),))
+                filter_bins.append((
+                    self.energy_groups.get_group_bounds(group),))
 
         # Construct a collection of the nuclides to retrieve from the xs tally
         if self.by_nuclide:
@@ -1822,8 +1727,8 @@ class ScatterMatrixXS(MGXS):
         # Use tally summation if user requested the sum for all nuclides
         if nuclides == 'sum' or nuclides == ['sum']:
             xs_tally = self.xs_tally.summation(nuclides=query_nuclides)
-            xs = xs_tally.get_values(filters=filters,
-                                     filter_bins=filter_bins, value=value)
+            xs = xs_tally.get_values(filters=filters, filter_bins=filter_bins,
+                                     value=value)
         else:
             xs = self.xs_tally.get_values(filters=filters,
                                           filter_bins=filter_bins,
@@ -1831,6 +1736,1829 @@ class ScatterMatrixXS(MGXS):
 
         xs = np.nan_to_num(xs)
 
+        # Divide by atom number densities for microscopic cross sections
+        if xs_type == 'micro':
+            if self.by_nuclide:
+                densities = self.get_nuclide_densities(nuclides)
+            else:
+                densities = self.get_nuclide_densities('sum')
+            if value == 'mean' or value == 'std_dev':
+                xs /= densities[np.newaxis, :, np.newaxis]
+
+        # Reverse data if user requested increasing energy groups since
+        # tally data is stored in order of increasing energies
+        if order_groups == 'increasing':
+            if in_groups == 'all':
+                num_in_groups = self.num_groups
+            else:
+                num_in_groups = len(in_groups)
+            if out_groups == 'all':
+                num_out_groups = self.num_groups
+            else:
+                num_out_groups = len(out_groups)
+
+            # Reshape tally data array with separate axes for domain and energy
+            num_subdomains = int(xs.shape[0] /
+                                 (num_in_groups * num_out_groups))
+            new_shape = (num_subdomains, num_in_groups, num_out_groups)
+            new_shape += xs.shape[1:]
+            xs = np.reshape(xs, new_shape)
+
+            # Transpose the matrix if requested by user
+            if row_column == 'outin':
+                xs = np.swapaxes(xs, 1, 2)
+
+            # Reverse energies to align with increasing energy groups
+            xs = xs[:, ::-1, ::-1, :]
+
+            # Eliminate trivial dimensions
+            xs = np.squeeze(xs)
+            xs = np.atleast_2d(xs)
+
+        return xs
+
+    def get_slice(self, nuclides=[], in_groups=[], out_groups=[]):
+        """Build a sliced MatrixMGXS object for the specified nuclides and
+        energy groups.
+
+        This method constructs a new MGXS to encapsulate a subset of the data
+        represented by this MGXS. The subset of data to include in the tally
+        slice is determined by the nuclides and energy groups specified in
+        the input parameters.
+
+        Parameters
+        ----------
+        nuclides : list of str
+            A list of nuclide name strings
+            (e.g., ['U-235', 'U-238']; default is [])
+        in_groups : list of int
+            A list of incoming energy group indices starting at 1 for the high
+            energies (e.g., [1, 2, 3]; default is [])
+        out_groups : list of int
+            A list of outgoing energy group indices starting at 1 for the high
+            energies (e.g., [1, 2, 3]; default is [])
+
+        Returns
+        -------
+        openmc.mgxs.MatrixMGXS
+            A new MatrixMGXS object which encapsulates the subset of data
+            requested for the nuclide(s) and/or energy group(s) requested in
+            the parameters.
+
+        """
+
+        # Call super class method and null out derived tallies
+        slice_xs = super(MatrixMGXS, self).get_slice(nuclides, in_groups)
+        slice_xs._rxn_rate_tally = None
+        slice_xs._xs_tally = None
+
+        # Slice outgoing energy groups if needed
+        if len(out_groups) != 0:
+            filter_bins = []
+            for group in out_groups:
+                group_bounds = self.energy_groups.get_group_bounds(group)
+                filter_bins.append(group_bounds)
+            filter_bins = [tuple(filter_bins)]
+
+            # Slice each of the tallies across energyout groups
+            for tally_type, tally in slice_xs.tallies.items():
+                if tally.contains_filter('energyout'):
+                    tally_slice = tally.get_slice(filters=['energyout'],
+                                                  filter_bins=filter_bins)
+                    slice_xs.tallies[tally_type] = tally_slice
+
+        slice_xs.sparse = self.sparse
+        return slice_xs
+
+    def print_xs(self, subdomains='all', nuclides='all', xs_type='macro'):
+        """Prints a string representation for the multi-group cross section.
+
+        Parameters
+        ----------
+        subdomains : Iterable of Integral or 'all'
+            The subdomain IDs of the cross sections to include in the report.
+            Defaults to 'all'.
+        nuclides : Iterable of str or 'all' or 'sum'
+            The nuclides of the cross-sections to include in the report. This
+            may be a list of nuclide name strings (e.g., ['U-235', 'U-238']).
+            The special string 'all' will report the cross sections for all
+            nuclides in the spatial domain. The special string 'sum' will
+            report the cross sections summed over all nuclides. Defaults to
+            'all'.
+        xs_type: {'macro', 'micro'}
+            Return the macro or micro cross section in units of cm^-1 or barns.
+            Defaults to 'macro'.
+
+        """
+
+        # Construct a collection of the subdomains to report
+        if not isinstance(subdomains, basestring):
+            cv.check_iterable_type('subdomains', subdomains, Integral)
+        elif self.domain_type == 'distribcell':
+            subdomains = np.arange(self.num_subdomains, dtype=np.int)
+        else:
+            subdomains = [self.domain.id]
+
+        # Construct a collection of the nuclides to report
+        if self.by_nuclide:
+            if nuclides == 'all':
+                nuclides = self.get_all_nuclides()
+            if nuclides == 'sum':
+                nuclides = ['sum']
+            else:
+                cv.check_iterable_type('nuclides', nuclides, basestring)
+        else:
+            nuclides = ['sum']
+
+        cv.check_value('xs_type', xs_type, ['macro', 'micro'])
+
+        # Build header for string with type and domain info
+        string = 'Multi-Group XS\n'
+        string += '{0: <16}=\t{1}\n'.format('\tReaction Type', self.rxn_type)
+        string += '{0: <16}=\t{1}\n'.format('\tDomain Type', self.domain_type)
+        string += '{0: <16}=\t{1}\n'.format('\tDomain ID', self.domain.id)
+
+        # If cross section data has not been computed, only print string header
+        if self.tallies is None:
+            print(string)
+            return
+
+        string += '{0: <16}\n'.format('\tEnergy Groups:')
+        template = '{0: <12}Group {1} [{2: <10} - {3: <10}MeV]\n'
+
+        # Loop over energy groups ranges
+        for group in range(1, self.num_groups + 1):
+            bounds = self.energy_groups.get_group_bounds(group)
+            string += template.format('', group, bounds[0], bounds[1])
+
+        # Loop over all subdomains
+        for subdomain in subdomains:
+
+            if self.domain_type == 'distribcell':
+                string += \
+                    '{0: <16}=\t{1}\n'.format('\tSubdomain', subdomain)
+
+            # Loop over all Nuclides
+            for nuclide in nuclides:
+
+                # Build header for nuclide type
+                if xs_type != 'sum':
+                    string += '{0: <16}=\t{1}\n'.format('\tNuclide', nuclide)
+
+                # Build header for cross section type
+                if xs_type == 'macro':
+                    string += '{0: <16}\n'.format('\tCross Sections [cm^-1]:')
+                else:
+                    string += '{0: <16}\n'.format('\tCross Sections [barns]:')
+
+                template = '{0: <12}Group {1} -> Group {2}:\t\t'
+
+                # Loop over incoming/outgoing energy groups ranges
+                for in_group in range(1, self.num_groups + 1):
+                    for out_group in range(1, self.num_groups + 1):
+                        string += template.format('', in_group, out_group)
+                        average = \
+                            self.get_xs([in_group], [out_group],
+                                        [subdomain], [nuclide],
+                                        xs_type=xs_type, value='mean')
+                        rel_err = \
+                            self.get_xs([in_group], [out_group],
+                                        [subdomain], [nuclide],
+                                        xs_type=xs_type, value='rel_err')
+                        average = average.flatten()[0]
+                        rel_err = rel_err.flatten()[0] * 100.
+                        string += '{:1.2e} +/- {:1.2e}%'.format(average,
+                                                                rel_err)
+                        string += '\n'
+                    string += '\n'
+                string += '\n'
+            string += '\n'
+
+        print(string)
+
+
+class TotalXS(MGXS):
+    r"""A total multi-group cross section.
+
+    This class can be used for both OpenMC input generation and tally data
+    post-processing to compute spatially-homogenized and energy-integrated
+    multi-group total cross sections for multi-group neutronics calculations. At
+    a minimum, one needs to set the :attr:`TotalXS.energy_groups` and
+    :attr:`TotalXS.domain` properties. Tallies for the flux and appropriate
+    reaction rates over the specified domain are generated automatically via the
+    :attr:`TotalXS.tallies` property, which can then be appended to a
+    :class:`openmc.Tallies` instance.
+
+    For post-processing, the :meth:`MGXS.load_from_statepoint` will pull in the
+    necessary data to compute multi-group cross sections from a
+    :class:`openmc.StatePoint` instance. The derived multi-group cross section
+    can then be obtained from the :attr:`TotalXS.xs_tally` property.
+
+    For a spatial domain :math:`V` and energy group :math:`[E_g,E_{g-1}]`, the
+    total cross section is calculated as:
+
+    .. math::
+
+       \frac{\int_{r \in V} dr \int_{4\pi} d\Omega \int_{E_g}^{E_{g-1}} dE \;
+       \sigma_t (r, E) \psi (r, E, \Omega)}{\int_{r \in V} dr \int_{4\pi}
+       d\Omega \int_{E_g}^{E_{g-1}} dE \; \psi (r, E, \Omega)}.
+
+    Parameters
+    ----------
+    domain : openmc.Material or openmc.Cell or openmc.Universe
+        The domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        The domain type for spatial homogenization
+    groups : openmc.mgxs.EnergyGroups
+        The energy group structure for energy condensation
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    name : str, optional
+        Name of the multi-group cross section. Used as a label to identify
+        tallies in OpenMC 'tallies.xml' file.
+
+    Attributes
+    ----------
+    name : str, optional
+        Name of the multi-group cross section
+    rxn_type : str
+        Reaction type (e.g., 'total', 'nu-fission', etc.)
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    domain : Material or Cell or Universe
+        Domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        Domain type for spatial homogenization
+    energy_groups : openmc.mgxs.EnergyGroups
+        Energy group structure for energy condensation
+    tally_trigger : openmc.Trigger
+        An (optional) tally precision trigger given to each tally used to
+        compute the cross section
+    scores : list of str
+        The scores in each tally used to compute the multi-group cross section
+    filters : list of openmc.Filter
+        The filters in each tally used to compute the multi-group cross section
+    tally_keys : list of str
+        The keys into the tallies dictionary for each tally used to compute
+        the multi-group cross section
+    estimator : {'tracklength', 'analog'}
+        The tally estimator used to compute the multi-group cross section
+    tallies : collections.OrderedDict
+        OpenMC tallies needed to compute the multi-group cross section. The keys
+        are strings listed in the :attr:`TotalXS.tally_keys` property and values
+        are instances of :class:`openmc.Tally`.
+    rxn_rate_tally : openmc.Tally
+        Derived tally for the reaction rate tally used in the numerator to
+        compute the multi-group cross section. This attribute is None
+        unless the multi-group cross section has been computed.
+    xs_tally : openmc.Tally
+        Derived tally for the multi-group cross section. This attribute
+        is None unless the multi-group cross section has been computed.
+    num_subdomains : int
+        The number of subdomains is unity for 'material', 'cell' and 'universe'
+        domain types. When the  This is equal to the number of cell instances
+        for 'distribcell' domain types (it is equal to unity prior to loading
+        tally data from a statepoint file).
+    num_nuclides : int
+        The number of nuclides for which the multi-group cross section is
+        being tracked. This is unity if the by_nuclide attribute is False.
+    nuclides : Iterable of str or 'sum'
+        The optional user-specified nuclides for which to compute cross
+        sections (e.g., 'U-238', 'O-16'). If by_nuclide is True but nuclides
+        are not specified by the user, all nuclides in the spatial domain
+        are included. This attribute is 'sum' if by_nuclide is false.
+    sparse : bool
+        Whether or not the MGXS' tallies use SciPy's LIL sparse matrix format
+        for compressed data storage
+    loaded_sp : bool
+        Whether or not a statepoint file has been loaded with tally data
+    derived : bool
+        Whether or not the MGXS is merged from one or more other MGXS
+    hdf5_key : str
+        The key used to index multi-group cross sections in an HDF5 data store
+
+    """
+
+    def __init__(self, domain=None, domain_type=None,
+                 groups=None, by_nuclide=False, name=''):
+        super(TotalXS, self).__init__(domain, domain_type,
+                                      groups, by_nuclide, name)
+        self._rxn_type = 'total'
+
+
+class TransportXS(MGXS):
+    r"""A transport-corrected total multi-group cross section.
+
+    This class can be used for both OpenMC input generation and tally data
+    post-processing to compute spatially-homogenized and energy-integrated
+    multi-group cross sections for multi-group neutronics calculations. At a
+    minimum, one needs to set the :attr:`TransportXS.energy_groups` and
+    :attr:`TransportXS.domain` properties. Tallies for the flux and appropriate
+    reaction rates over the specified domain are generated automatically via the
+    :attr:`TransportXS.tallies` property, which can then be appended to a
+    :class:`openmc.Tallies` instance.
+
+    For post-processing, the :meth:`MGXS.load_from_statepoint` will pull in the
+    necessary data to compute multi-group cross sections from a
+    :class:`openmc.StatePoint` instance. The derived multi-group cross section
+    can then be obtained from the :attr:`TransportXS.xs_tally` property.
+
+    For a spatial domain :math:`V` and energy group :math:`[E_g,E_{g-1}]`, the
+    transport-corrected total cross section is calculated as:
+
+    .. math::
+
+       \langle \sigma_t \phi \rangle &= \int_{r \in V} dr \int_{4\pi}
+       d\Omega \int_{E_g}^{E_{g-1}} dE \sigma_t (r, E) \psi
+       (r, E, \Omega) \\
+       \langle \sigma_{s1} \phi \rangle &= \int_{r \in V} dr
+       \int_{4\pi} d\Omega \int_{E_g}^{E_{g-1}} dE \int_{4\pi}
+       d\Omega' \int_0^\infty dE' \int_{-1}^1 d\mu \; \mu \sigma_s
+       (r, E' \rightarrow E, \Omega' \cdot \Omega)
+       \phi (r, E', \Omega) \\
+       \langle \phi \rangle &= \int_{r \in V} dr \int_{4\pi} d\Omega
+       \int_{E_g}^{E_{g-1}} dE \; \psi (r, E, \Omega) \\
+       \sigma_{tr} &= \frac{\langle \sigma_t \phi \rangle - \langle \sigma_{s1}
+       \phi \rangle}{\langle \phi \rangle}
+
+    Parameters
+    ----------
+    domain : openmc.Material or openmc.Cell or openmc.Universe
+        The domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        The domain type for spatial homogenization
+    groups : openmc.mgxs.EnergyGroups
+        The energy group structure for energy condensation
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    name : str, optional
+        Name of the multi-group cross section. Used as a label to identify
+        tallies in OpenMC 'tallies.xml' file.
+
+    Attributes
+    ----------
+    name : str, optional
+        Name of the multi-group cross section
+    rxn_type : str
+        Reaction type (e.g., 'total', 'nu-fission', etc.)
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    domain : Material or Cell or Universe
+        Domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        Domain type for spatial homogenization
+    energy_groups : openmc.mgxs.EnergyGroups
+        Energy group structure for energy condensation
+    tally_trigger : openmc.Trigger
+        An (optional) tally precision trigger given to each tally used to
+        compute the cross section
+    scores : list of str
+        The scores in each tally used to compute the multi-group cross section
+    filters : list of openmc.Filter
+        The filters in each tally used to compute the multi-group cross section
+    tally_keys : list of str
+        The keys into the tallies dictionary for each tally used to compute
+        the multi-group cross section
+    estimator : {'tracklength', 'analog'}
+        The tally estimator used to compute the multi-group cross section
+    tallies : collections.OrderedDict
+        OpenMC tallies needed to compute the multi-group cross section. The keys
+        are strings listed in the :attr:`TransportXS.tally_keys` property and
+        values are instances of :class:`openmc.Tally`.
+    rxn_rate_tally : openmc.Tally
+        Derived tally for the reaction rate tally used in the numerator to
+        compute the multi-group cross section. This attribute is None
+        unless the multi-group cross section has been computed.
+    xs_tally : openmc.Tally
+        Derived tally for the multi-group cross section. This attribute
+        is None unless the multi-group cross section has been computed.
+    num_subdomains : int
+        The number of subdomains is unity for 'material', 'cell' and 'universe'
+        domain types. When the  This is equal to the number of cell instances
+        for 'distribcell' domain types (it is equal to unity prior to loading
+        tally data from a statepoint file).
+    num_nuclides : int
+        The number of nuclides for which the multi-group cross section is
+        being tracked. This is unity if the by_nuclide attribute is False.
+    nuclides : Iterable of str or 'sum'
+        The optional user-specified nuclides for which to compute cross
+        sections (e.g., 'U-238', 'O-16'). If by_nuclide is True but nuclides
+        are not specified by the user, all nuclides in the spatial domain
+        are included. This attribute is 'sum' if by_nuclide is false.
+    sparse : bool
+        Whether or not the MGXS' tallies use SciPy's LIL sparse matrix format
+        for compressed data storage
+    loaded_sp : bool
+        Whether or not a statepoint file has been loaded with tally data
+    derived : bool
+        Whether or not the MGXS is merged from one or more other MGXS
+    hdf5_key : str
+        The key used to index multi-group cross sections in an HDF5 data store
+
+    """
+
+    def __init__(self, domain=None, domain_type=None,
+                 groups=None, by_nuclide=False, name=''):
+        super(TransportXS, self).__init__(domain, domain_type,
+                                          groups, by_nuclide, name)
+        self._rxn_type = 'transport'
+
+    @property
+    def scores(self):
+        return ['flux', 'total', 'scatter-1']
+
+    @property
+    def filters(self):
+        group_edges = self.energy_groups.group_edges
+        energy_filter = openmc.Filter('energy', group_edges)
+        energyout_filter = openmc.Filter('energyout', group_edges)
+        return [[energy_filter], [energy_filter], [energyout_filter]]
+
+    @property
+    def estimator(self):
+        return 'analog'
+
+    @property
+    def rxn_rate_tally(self):
+        if self._rxn_rate_tally is None:
+            self.tallies['scatter-1'].filters[-1].type = 'energy'
+            self._rxn_rate_tally = \
+                self.tallies['total'] - self.tallies['scatter-1']
+            self._rxn_rate_tally.sparse = self.sparse
+
+        return self._rxn_rate_tally
+
+
+class NuTransportXS(TransportXS):
+    r"""A transport-corrected total multi-group cross section which
+    accounts for neutron multiplicity in scattering reactions.
+
+    This class can be used for both OpenMC input generation and tally data
+    post-processing to compute spatially-homogenized and energy-integrated
+    multi-group cross sections for multi-group neutronics calculations. At a
+    minimum, one needs to set the :attr:`NuTransportXS.energy_groups` and
+    :attr:`NuTransportXS.domain` properties. Tallies for the flux and
+    appropriate reaction rates over the specified domain are generated
+    automatically via the :attr:`NuTransportXS.tallies` property, which can then
+    be appended to a :class:`openmc.Tallies` instance.
+
+    For post-processing, the :meth:`MGXS.load_from_statepoint` will pull in the
+    necessary data to compute multi-group cross sections from a
+    :class:`openmc.StatePoint` instance. The derived multi-group cross section
+    can then be obtained from the :attr:`NuTransportXS.xs_tally` property.
+
+    The calculation of the transport-corrected cross section is the same as that
+    for :class:`TransportXS` except that the scattering multiplicity is
+    accounted for.
+
+    Parameters
+    ----------
+    domain : openmc.Material or openmc.Cell or openmc.Universe
+        The domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        The domain type for spatial homogenization
+    groups : openmc.mgxs.EnergyGroups
+        The energy group structure for energy condensation
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    name : str, optional
+        Name of the multi-group cross section. Used as a label to identify
+        tallies in OpenMC 'tallies.xml' file.
+
+    Attributes
+    ----------
+    name : str, optional
+        Name of the multi-group cross section
+    rxn_type : str
+        Reaction type (e.g., 'total', 'nu-fission', etc.)
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    domain : Material or Cell or Universe
+        Domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        Domain type for spatial homogenization
+    energy_groups : openmc.mgxs.EnergyGroups
+        Energy group structure for energy condensation
+    tally_trigger : openmc.Trigger
+        An (optional) tally precision trigger given to each tally used to
+        compute the cross section
+    scores : list of str
+        The scores in each tally used to compute the multi-group cross section
+    filters : list of openmc.Filter
+        The filters in each tally used to compute the multi-group cross section
+    tally_keys : list of str
+        The keys into the tallies dictionary for each tally used to compute
+        the multi-group cross section
+    estimator : {'tracklength', 'analog'}
+        The tally estimator used to compute the multi-group cross section
+    tallies : collections.OrderedDict
+        OpenMC tallies needed to compute the multi-group cross section. The keys
+        are strings listed in the :attr:`NuTransportXS.tally_keys` property and
+        values are instances of :class:`openmc.Tally`.
+    rxn_rate_tally : openmc.Tally
+        Derived tally for the reaction rate tally used in the numerator to
+        compute the multi-group cross section. This attribute is None
+        unless the multi-group cross section has been computed.
+    xs_tally : openmc.Tally
+        Derived tally for the multi-group cross section. This attribute
+        is None unless the multi-group cross section has been computed.
+    num_subdomains : int
+        The number of subdomains is unity for 'material', 'cell' and 'universe'
+        domain types. When the  This is equal to the number of cell instances
+        for 'distribcell' domain types (it is equal to unity prior to loading
+        tally data from a statepoint file).
+    num_nuclides : int
+        The number of nuclides for which the multi-group cross section is
+        being tracked. This is unity if the by_nuclide attribute is False.
+    nuclides : Iterable of str or 'sum'
+        The optional user-specified nuclides for which to compute cross
+        sections (e.g., 'U-238', 'O-16'). If by_nuclide is True but nuclides
+        are not specified by the user, all nuclides in the spatial domain
+        are included. This attribute is 'sum' if by_nuclide is false.
+    sparse : bool
+        Whether or not the MGXS' tallies use SciPy's LIL sparse matrix format
+        for compressed data storage
+    loaded_sp : bool
+        Whether or not a statepoint file has been loaded with tally data
+    derived : bool
+        Whether or not the MGXS is merged from one or more other MGXS
+    hdf5_key : str
+        The key used to index multi-group cross sections in an HDF5 data store
+
+    """
+
+    def __init__(self, domain=None, domain_type=None,
+                 groups=None, by_nuclide=False, name=''):
+        super(NuTransportXS, self).__init__(domain, domain_type,
+                                            groups, by_nuclide, name)
+        self._rxn_type = 'nu-transport'
+
+    @property
+    def scores(self):
+        return ['flux', 'total', 'nu-scatter-1']
+
+    @property
+    def tally_keys(self):
+        return ['flux', 'total', 'scatter-1']
+
+
+class AbsorptionXS(MGXS):
+    r"""An absorption multi-group cross section.
+
+    Absorption is defined as all reactions that do not produce secondary
+    neutrons (disappearance) plus fission reactions.
+
+    This class can be used for both OpenMC input generation and tally data
+    post-processing to compute spatially-homogenized and energy-integrated
+    multi-group absorption cross sections for multi-group neutronics
+    calculations. At a minimum, one needs to set the
+    :attr:`AbsorptionXS.energy_groups` and :attr:`AbsorptionXS.domain`
+    properties. Tallies for the flux and appropriate reaction rates over the
+    specified domain are generated automatically via the
+    :attr:`AbsorptionXS.tallies` property, which can then be appended to a
+    :class:`openmc.Tallies` instance.
+
+    For post-processing, the :meth:`MGXS.load_from_statepoint` will pull in the
+    necessary data to compute multi-group cross sections from a
+    :class:`openmc.StatePoint` instance. The derived multi-group cross section
+    can then be obtained from the :attr:`AbsorptionXS.xs_tally` property.
+
+    For a spatial domain :math:`V` and energy group :math:`[E_g,E_{g-1}]`, the
+    absorption cross section is calculated as:
+
+    .. math::
+
+       \frac{\int_{r \in V} dr \int_{4\pi} d\Omega \int_{E_g}^{E_{g-1}} dE \;
+       \sigma_a (r, E) \psi (r, E, \Omega)}{\int_{r \in V} dr \int_{4\pi}
+       d\Omega \int_{E_g}^{E_{g-1}} dE \; \psi (r, E, \Omega)}.
+
+    Parameters
+    ----------
+    domain : openmc.Material or openmc.Cell or openmc.Universe
+        The domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        The domain type for spatial homogenization
+    groups : openmc.mgxs.EnergyGroups
+        The energy group structure for energy condensation
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    name : str, optional
+        Name of the multi-group cross section. Used as a label to identify
+        tallies in OpenMC 'tallies.xml' file.
+
+    Attributes
+    ----------
+    name : str, optional
+        Name of the multi-group cross section
+    rxn_type : str
+        Reaction type (e.g., 'total', 'nu-fission', etc.)
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    domain : Material or Cell or Universe
+        Domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        Domain type for spatial homogenization
+    energy_groups : openmc.mgxs.EnergyGroups
+        Energy group structure for energy condensation
+    tally_trigger : openmc.Trigger
+        An (optional) tally precision trigger given to each tally used to
+        compute the cross section
+    scores : list of str
+        The scores in each tally used to compute the multi-group cross section
+    filters : list of openmc.Filter
+        The filters in each tally used to compute the multi-group cross section
+    tally_keys : list of str
+        The keys into the tallies dictionary for each tally used to compute
+        the multi-group cross section
+    estimator : {'tracklength', 'analog'}
+        The tally estimator used to compute the multi-group cross section
+    tallies : collections.OrderedDict
+        OpenMC tallies needed to compute the multi-group cross section. The keys
+        are strings listed in the :attr:`AbsorptionXS.tally_keys` property and
+        values are instances of :class:`openmc.Tally`.
+    rxn_rate_tally : openmc.Tally
+        Derived tally for the reaction rate tally used in the numerator to
+        compute the multi-group cross section. This attribute is None
+        unless the multi-group cross section has been computed.
+    xs_tally : openmc.Tally
+        Derived tally for the multi-group cross section. This attribute
+        is None unless the multi-group cross section has been computed.
+    num_subdomains : int
+        The number of subdomains is unity for 'material', 'cell' and 'universe'
+        domain types. When the  This is equal to the number of cell instances
+        for 'distribcell' domain types (it is equal to unity prior to loading
+        tally data from a statepoint file).
+    num_nuclides : int
+        The number of nuclides for which the multi-group cross section is
+        being tracked. This is unity if the by_nuclide attribute is False.
+    nuclides : Iterable of str or 'sum'
+        The optional user-specified nuclides for which to compute cross
+        sections (e.g., 'U-238', 'O-16'). If by_nuclide is True but nuclides
+        are not specified by the user, all nuclides in the spatial domain
+        are included. This attribute is 'sum' if by_nuclide is false.
+    sparse : bool
+        Whether or not the MGXS' tallies use SciPy's LIL sparse matrix format
+        for compressed data storage
+    loaded_sp : bool
+        Whether or not a statepoint file has been loaded with tally data
+    derived : bool
+        Whether or not the MGXS is merged from one or more other MGXS
+    hdf5_key : str
+        The key used to index multi-group cross sections in an HDF5 data store
+
+    """
+
+    def __init__(self, domain=None, domain_type=None,
+                 groups=None, by_nuclide=False, name=''):
+        super(AbsorptionXS, self).__init__(domain, domain_type,
+                                           groups, by_nuclide, name)
+        self._rxn_type = 'absorption'
+
+
+class CaptureXS(MGXS):
+    r"""A capture multi-group cross section.
+
+    The neutron capture reaction rate is defined as the difference between
+    OpenMC's 'absorption' and 'fission' reaction rate score types. This includes
+    not only radiative capture, but all forms of neutron disappearance aside
+    from fission (i.e., MT > 100).
+
+    This class can be used for both OpenMC input generation and tally data
+    post-processing to compute spatially-homogenized and energy-integrated
+    multi-group capture cross sections for multi-group neutronics
+    calculations. At a minimum, one needs to set the
+    :attr:`CaptureXS.energy_groups` and :attr:`CaptureXS.domain`
+    properties. Tallies for the flux and appropriate reaction rates over the
+    specified domain are generated automatically via the
+    :attr:`CaptureXS.tallies` property, which can then be appended to a
+    :class:`openmc.Tallies` instance.
+
+    For post-processing, the :meth:`MGXS.load_from_statepoint` will pull in the
+    necessary data to compute multi-group cross sections from a
+    :class:`openmc.StatePoint` instance. The derived multi-group cross section
+    can then be obtained from the :attr:`CaptureXS.xs_tally` property.
+
+    For a spatial domain :math:`V` and energy group :math:`[E_g,E_{g-1}]`, the
+    capture cross section is calculated as:
+
+    .. math::
+
+       \frac{\int_{r \in V} dr \int_{4\pi} d\Omega \int_{E_g}^{E_{g-1}} dE \;
+       \left [ \sigma_a (r, E) \psi (r, E, \Omega) - \sigma_f (r, E) \psi (r, E,
+       \Omega) \right ]}{\int_{r \in V} dr \int_{4\pi} d\Omega
+       \int_{E_g}^{E_{g-1}} dE \; \psi (r, E, \Omega)}.
+
+    Parameters
+    ----------
+    domain : openmc.Material or openmc.Cell or openmc.Universe
+        The domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        The domain type for spatial homogenization
+    groups : openmc.mgxs.EnergyGroups
+        The energy group structure for energy condensation
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    name : str, optional
+        Name of the multi-group cross section. Used as a label to identify
+        tallies in OpenMC 'tallies.xml' file.
+
+    Attributes
+    ----------
+    name : str, optional
+        Name of the multi-group cross section
+    rxn_type : str
+        Reaction type (e.g., 'total', 'nu-fission', etc.)
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    domain : Material or Cell or Universe
+        Domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        Domain type for spatial homogenization
+    energy_groups : openmc.mgxs.EnergyGroups
+        Energy group structure for energy condensation
+    tally_trigger : openmc.Trigger
+        An (optional) tally precision trigger given to each tally used to
+        compute the cross section
+    scores : list of str
+        The scores in each tally used to compute the multi-group cross section
+    filters : list of openmc.Filter
+        The filters in each tally used to compute the multi-group cross section
+    tally_keys : list of str
+        The keys into the tallies dictionary for each tally used to compute
+        the multi-group cross section
+    estimator : {'tracklength', 'analog'}
+        The tally estimator used to compute the multi-group cross section
+    tallies : collections.OrderedDict
+        OpenMC tallies needed to compute the multi-group cross section. The keys
+        are strings listed in the :attr:`CaptureXS.tally_keys` property and
+        values are instances of :class:`openmc.Tally`.
+    rxn_rate_tally : openmc.Tally
+        Derived tally for the reaction rate tally used in the numerator to
+        compute the multi-group cross section. This attribute is None
+        unless the multi-group cross section has been computed.
+    xs_tally : openmc.Tally
+        Derived tally for the multi-group cross section. This attribute
+        is None unless the multi-group cross section has been computed.
+    num_subdomains : int
+        The number of subdomains is unity for 'material', 'cell' and 'universe'
+        domain types. When the  This is equal to the number of cell instances
+        for 'distribcell' domain types (it is equal to unity prior to loading
+        tally data from a statepoint file).
+    num_nuclides : int
+        The number of nuclides for which the multi-group cross section is
+        being tracked. This is unity if the by_nuclide attribute is False.
+    nuclides : Iterable of str or 'sum'
+        The optional user-specified nuclides for which to compute cross
+        sections (e.g., 'U-238', 'O-16'). If by_nuclide is True but nuclides
+        are not specified by the user, all nuclides in the spatial domain
+        are included. This attribute is 'sum' if by_nuclide is false.
+    sparse : bool
+        Whether or not the MGXS' tallies use SciPy's LIL sparse matrix format
+        for compressed data storage
+    loaded_sp : bool
+        Whether or not a statepoint file has been loaded with tally data
+    derived : bool
+        Whether or not the MGXS is merged from one or more other MGXS
+    hdf5_key : str
+        The key used to index multi-group cross sections in an HDF5 data store
+
+    """
+
+    def __init__(self, domain=None, domain_type=None,
+                 groups=None, by_nuclide=False, name=''):
+        super(CaptureXS, self).__init__(domain, domain_type,
+                                        groups, by_nuclide, name)
+        self._rxn_type = 'capture'
+
+    @property
+    def scores(self):
+        return ['flux', 'absorption', 'fission']
+
+    @property
+    def rxn_rate_tally(self):
+        if self._rxn_rate_tally is None:
+            self._rxn_rate_tally = \
+                self.tallies['absorption'] - self.tallies['fission']
+            self._rxn_rate_tally.sparse = self.sparse
+        return self._rxn_rate_tally
+
+
+class FissionXS(MGXS):
+    r"""A fission multi-group cross section.
+
+    This class can be used for both OpenMC input generation and tally data
+    post-processing to compute spatially-homogenized and energy-integrated
+    multi-group fission cross sections for multi-group neutronics
+    calculations. At a minimum, one needs to set the
+    :attr:`FissionXS.energy_groups` and :attr:`FissionXS.domain`
+    properties. Tallies for the flux and appropriate reaction rates over the
+    specified domain are generated automatically via the
+    :attr:`FissionXS.tallies` property, which can then be appended to a
+    :class:`openmc.Tallies` instance.
+
+    For post-processing, the :meth:`MGXS.load_from_statepoint` will pull in the
+    necessary data to compute multi-group cross sections from a
+    :class:`openmc.StatePoint` instance. The derived multi-group cross section
+    can then be obtained from the :attr:`FissionXS.xs_tally` property.
+
+    For a spatial domain :math:`V` and energy group :math:`[E_g,E_{g-1}]`, the
+    fission cross section is calculated as:
+
+    .. math::
+
+       \frac{\int_{r \in V} dr \int_{4\pi} d\Omega \int_{E_g}^{E_{g-1}} dE \;
+       \sigma_f (r, E) \psi (r, E, \Omega)}{\int_{r \in V} dr \int_{4\pi}
+       d\Omega \int_{E_g}^{E_{g-1}} dE \; \psi (r, E, \Omega)}.
+
+    Parameters
+    ----------
+    domain : openmc.Material or openmc.Cell or openmc.Universe
+        The domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        The domain type for spatial homogenization
+    groups : openmc.mgxs.EnergyGroups
+        The energy group structure for energy condensation
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    name : str, optional
+        Name of the multi-group cross section. Used as a label to identify
+        tallies in OpenMC 'tallies.xml' file.
+
+    Attributes
+    ----------
+    name : str, optional
+        Name of the multi-group cross section
+    rxn_type : str
+        Reaction type (e.g., 'total', 'nu-fission', etc.)
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    domain : Material or Cell or Universe
+        Domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        Domain type for spatial homogenization
+    energy_groups : openmc.mgxs.EnergyGroups
+        Energy group structure for energy condensation
+    tally_trigger : openmc.Trigger
+        An (optional) tally precision trigger given to each tally used to
+        compute the cross section
+    scores : list of str
+        The scores in each tally used to compute the multi-group cross section
+    filters : list of openmc.Filter
+        The filters in each tally used to compute the multi-group cross section
+    tally_keys : list of str
+        The keys into the tallies dictionary for each tally used to compute
+        the multi-group cross section
+    estimator : {'tracklength', 'analog'}
+        The tally estimator used to compute the multi-group cross section
+    tallies : collections.OrderedDict
+        OpenMC tallies needed to compute the multi-group cross section. The keys
+        are strings listed in the :attr:`FissionXS.tally_keys` property and
+        values are instances of :class:`openmc.Tally`.
+    rxn_rate_tally : openmc.Tally
+        Derived tally for the reaction rate tally used in the numerator to
+        compute the multi-group cross section. This attribute is None
+        unless the multi-group cross section has been computed.
+    xs_tally : openmc.Tally
+        Derived tally for the multi-group cross section. This attribute
+        is None unless the multi-group cross section has been computed.
+    num_subdomains : int
+        The number of subdomains is unity for 'material', 'cell' and 'universe'
+        domain types. When the  This is equal to the number of cell instances
+        for 'distribcell' domain types (it is equal to unity prior to loading
+        tally data from a statepoint file).
+    num_nuclides : int
+        The number of nuclides for which the multi-group cross section is
+        being tracked. This is unity if the by_nuclide attribute is False.
+    nuclides : Iterable of str or 'sum'
+        The optional user-specified nuclides for which to compute cross
+        sections (e.g., 'U-238', 'O-16'). If by_nuclide is True but nuclides
+        are not specified by the user, all nuclides in the spatial domain
+        are included. This attribute is 'sum' if by_nuclide is false.
+    sparse : bool
+        Whether or not the MGXS' tallies use SciPy's LIL sparse matrix format
+        for compressed data storage
+    loaded_sp : bool
+        Whether or not a statepoint file has been loaded with tally data
+    derived : bool
+        Whether or not the MGXS is merged from one or more other MGXS
+    hdf5_key : str
+        The key used to index multi-group cross sections in an HDF5 data store
+
+    """
+
+    def __init__(self, domain=None, domain_type=None,
+                 groups=None, by_nuclide=False, name=''):
+        super(FissionXS, self).__init__(domain, domain_type,
+                                        groups, by_nuclide, name)
+        self._rxn_type = 'fission'
+
+
+class NuFissionXS(MGXS):
+    r"""A fission neutron production multi-group cross section.
+
+    This class can be used for both OpenMC input generation and tally data
+    post-processing to compute spatially-homogenized and energy-integrated
+    multi-group fission neutron production cross sections for multi-group
+    neutronics calculations. At a minimum, one needs to set the
+    :attr:`NuFissionXS.energy_groups` and :attr:`NuFissionXS.domain`
+    properties. Tallies for the flux and appropriate reaction rates over the
+    specified domain are generated automatically via the
+    :attr:`NuFissionXS.tallies` property, which can then be appended to a
+    :class:`openmc.Tallies` instance.
+
+    For post-processing, the :meth:`MGXS.load_from_statepoint` will pull in the
+    necessary data to compute multi-group cross sections from a
+    :class:`openmc.StatePoint` instance. The derived multi-group cross section
+    can then be obtained from the :attr:`NuFissionXS.xs_tally` property.
+
+    For a spatial domain :math:`V` and energy group :math:`[E_g,E_{g-1}]`, the
+    fission neutron production cross section is calculated as:
+
+    .. math::
+
+       \frac{\int_{r \in V} dr \int_{4\pi} d\Omega \int_{E_g}^{E_{g-1}} dE \;
+       \nu\sigma_f (r, E) \psi (r, E, \Omega)}{\int_{r \in V} dr \int_{4\pi}
+       d\Omega \int_{E_g}^{E_{g-1}} dE \; \psi (r, E, \Omega)}.
+
+
+    Parameters
+    ----------
+    domain : openmc.Material or openmc.Cell or openmc.Universe
+        The domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        The domain type for spatial homogenization
+    groups : openmc.mgxs.EnergyGroups
+        The energy group structure for energy condensation
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    name : str, optional
+        Name of the multi-group cross section. Used as a label to identify
+        tallies in OpenMC 'tallies.xml' file.
+
+    Attributes
+    ----------
+    name : str, optional
+        Name of the multi-group cross section
+    rxn_type : str
+        Reaction type (e.g., 'total', 'nu-fission', etc.)
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    domain : Material or Cell or Universe
+        Domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        Domain type for spatial homogenization
+    energy_groups : openmc.mgxs.EnergyGroups
+        Energy group structure for energy condensation
+    tally_trigger : openmc.Trigger
+        An (optional) tally precision trigger given to each tally used to
+        compute the cross section
+    scores : list of str
+        The scores in each tally used to compute the multi-group cross section
+    filters : list of openmc.Filter
+        The filters in each tally used to compute the multi-group cross section
+    tally_keys : list of str
+        The keys into the tallies dictionary for each tally used to compute
+        the multi-group cross section
+    estimator : {'tracklength', 'analog'}
+        The tally estimator used to compute the multi-group cross section
+    tallies : collections.OrderedDict
+        OpenMC tallies needed to compute the multi-group cross section. The keys
+        are strings listed in the :attr:`NuFissionXS.tally_keys` property and
+        values are instances of :class:`openmc.Tally`.
+    rxn_rate_tally : openmc.Tally
+        Derived tally for the reaction rate tally used in the numerator to
+        compute the multi-group cross section. This attribute is None
+        unless the multi-group cross section has been computed.
+    xs_tally : openmc.Tally
+        Derived tally for the multi-group cross section. This attribute
+        is None unless the multi-group cross section has been computed.
+    num_subdomains : int
+        The number of subdomains is unity for 'material', 'cell' and 'universe'
+        domain types. When the  This is equal to the number of cell instances
+        for 'distribcell' domain types (it is equal to unity prior to loading
+        tally data from a statepoint file).
+    num_nuclides : int
+        The number of nuclides for which the multi-group cross section is
+        being tracked. This is unity if the by_nuclide attribute is False.
+    nuclides : Iterable of str or 'sum'
+        The optional user-specified nuclides for which to compute cross
+        sections (e.g., 'U-238', 'O-16'). If by_nuclide is True but nuclides
+        are not specified by the user, all nuclides in the spatial domain
+        are included. This attribute is 'sum' if by_nuclide is false.
+    sparse : bool
+        Whether or not the MGXS' tallies use SciPy's LIL sparse matrix format
+        for compressed data storage
+    loaded_sp : bool
+        Whether or not a statepoint file has been loaded with tally data
+    derived : bool
+        Whether or not the MGXS is merged from one or more other MGXS
+    hdf5_key : str
+        The key used to index multi-group cross sections in an HDF5 data store
+
+    """
+
+    def __init__(self, domain=None, domain_type=None,
+                 groups=None, by_nuclide=False, name=''):
+        super(NuFissionXS, self).__init__(domain, domain_type,
+                                          groups, by_nuclide, name)
+        self._rxn_type = 'nu-fission'
+
+
+class KappaFissionXS(MGXS):
+    r"""A recoverable fission energy production rate multi-group cross section.
+
+    The recoverable energy per fission, :math:`\kappa`, is defined as the
+    fission product kinetic energy, prompt and delayed neutron kinetic energies,
+    prompt and delayed :math:`\gamma`-ray total energies, and the total energy
+    released by the delayed :math:`\beta` particles. The neutrino energy does
+    not contribute to this response. The prompt and delayed :math:`\gamma`-rays
+    are assumed to deposit their energy locally.
+
+    This class can be used for both OpenMC input generation and tally data
+    post-processing to compute spatially-homogenized and energy-integrated
+    multi-group cross sections for multi-group neutronics calculations. At a
+    minimum, one needs to set the :attr:`KappaFissionXS.energy_groups` and
+    :attr:`KappaFissionXS.domain` properties. Tallies for the flux and appropriate
+    reaction rates over the specified domain are generated automatically via the
+    :attr:`KappaFissionXS.tallies` property, which can then be appended to a
+    :class:`openmc.Tallies` instance.
+
+    For post-processing, the :meth:`MGXS.load_from_statepoint` will pull in the
+    necessary data to compute multi-group cross sections from a
+    :class:`openmc.StatePoint` instance. The derived multi-group cross section
+    can then be obtained from the :attr:`KappaFissionXS.xs_tally` property.
+
+    For a spatial domain :math:`V` and energy group :math:`[E_g,E_{g-1}]`, the
+    recoverable fission energy production rate cross section is calculated as:
+
+    .. math::
+
+       \frac{\int_{r \in V} dr \int_{4\pi} d\Omega \int_{E_g}^{E_{g-1}} dE \;
+       \kappa\sigma_f (r, E) \psi (r, E, \Omega)}{\int_{r \in V} dr \int_{4\pi}
+       d\Omega \int_{E_g}^{E_{g-1}} dE \; \psi (r, E, \Omega)}.
+
+    Parameters
+    ----------
+    domain : openmc.Material or openmc.Cell or openmc.Universe
+        The domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        The domain type for spatial homogenization
+    groups : openmc.mgxs.EnergyGroups
+        The energy group structure for energy condensation
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    name : str, optional
+        Name of the multi-group cross section. Used as a label to identify
+        tallies in OpenMC 'tallies.xml' file.
+
+    Attributes
+    ----------
+    name : str, optional
+        Name of the multi-group cross section
+    rxn_type : str
+        Reaction type (e.g., 'total', 'nu-fission', etc.)
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    domain : Material or Cell or Universe
+        Domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        Domain type for spatial homogenization
+    energy_groups : openmc.mgxs.EnergyGroups
+        Energy group structure for energy condensation
+    tally_trigger : openmc.Trigger
+        An (optional) tally precision trigger given to each tally used to
+        compute the cross section
+    scores : list of str
+        The scores in each tally used to compute the multi-group cross section
+    filters : list of openmc.Filter
+        The filters in each tally used to compute the multi-group cross section
+    tally_keys : list of str
+        The keys into the tallies dictionary for each tally used to compute
+        the multi-group cross section
+    estimator : {'tracklength', 'analog'}
+        The tally estimator used to compute the multi-group cross section
+    tallies : collections.OrderedDict
+        OpenMC tallies needed to compute the multi-group cross section. The keys
+        are strings listed in the :attr:`KappaFissionXS.tally_keys` property and
+        values are instances of :class:`openmc.Tally`.
+    rxn_rate_tally : openmc.Tally
+        Derived tally for the reaction rate tally used in the numerator to
+        compute the multi-group cross section. This attribute is None
+        unless the multi-group cross section has been computed.
+    xs_tally : openmc.Tally
+        Derived tally for the multi-group cross section. This attribute
+        is None unless the multi-group cross section has been computed.
+    num_subdomains : int
+        The number of subdomains is unity for 'material', 'cell' and 'universe'
+        domain types. When the  This is equal to the number of cell instances
+        for 'distribcell' domain types (it is equal to unity prior to loading
+        tally data from a statepoint file).
+    num_nuclides : int
+        The number of nuclides for which the multi-group cross section is
+        being tracked. This is unity if the by_nuclide attribute is False.
+    nuclides : Iterable of str or 'sum'
+        The optional user-specified nuclides for which to compute cross
+        sections (e.g., 'U-238', 'O-16'). If by_nuclide is True but nuclides
+        are not specified by the user, all nuclides in the spatial domain
+        are included. This attribute is 'sum' if by_nuclide is false.
+    sparse : bool
+        Whether or not the MGXS' tallies use SciPy's LIL sparse matrix format
+        for compressed data storage
+    loaded_sp : bool
+        Whether or not a statepoint file has been loaded with tally data
+    derived : bool
+        Whether or not the MGXS is merged from one or more other MGXS
+    hdf5_key : str
+        The key used to index multi-group cross sections in an HDF5 data store
+
+    """
+
+    def __init__(self, domain=None, domain_type=None,
+                 groups=None, by_nuclide=False, name=''):
+        super(KappaFissionXS, self).__init__(domain, domain_type,
+                                             groups, by_nuclide, name)
+        self._rxn_type = 'kappa-fission'
+
+
+class ScatterXS(MGXS):
+    r"""A scattering multi-group cross section.
+
+    The scattering cross section is defined as the difference between the total
+    and absorption cross sections.
+
+    This class can be used for both OpenMC input generation and tally data
+    post-processing to compute spatially-homogenized and energy-integrated
+    multi-group cross sections for multi-group neutronics calculations. At a
+    minimum, one needs to set the :attr:`ScatterXS.energy_groups` and
+    :attr:`ScatterXS.domain` properties. Tallies for the flux and
+    appropriate reaction rates over the specified domain are generated
+    automatically via the :attr:`ScatterXS.tallies` property, which can
+    then be appended to a :class:`openmc.Tallies` instance.
+
+    For post-processing, the :meth:`MGXS.load_from_statepoint` will pull in the
+    necessary data to compute multi-group cross sections from a
+    :class:`openmc.StatePoint` instance. The derived multi-group cross section
+    can then be obtained from the :attr:`ScatterXS.xs_tally` property.
+
+    For a spatial domain :math:`V` and energy group :math:`[E_g,E_{g-1}]`, the
+    scattering cross section is calculated as:
+
+    .. math::
+
+       \frac{\int_{r \in V} dr \int_{4\pi} d\Omega \int_{E_g}^{E_{g-1}} dE \;
+       \left [ \sigma_t (r, E) \psi (r, E, \Omega) - \sigma_a (r, E) \psi (r, E,
+       \Omega) \right ]}{\int_{r \in V} dr \int_{4\pi} d\Omega
+       \int_{E_g}^{E_{g-1}} dE \; \psi (r, E, \Omega)}.
+
+    Parameters
+    ----------
+    domain : openmc.Material or openmc.Cell or openmc.Universe
+        The domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        The domain type for spatial homogenization
+    groups : openmc.mgxs.EnergyGroups
+        The energy group structure for energy condensation
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    name : str, optional
+        Name of the multi-group cross section. Used as a label to identify
+        tallies in OpenMC 'tallies.xml' file.
+
+    Attributes
+    ----------
+    name : str, optional
+        Name of the multi-group cross section
+    rxn_type : str
+        Reaction type (e.g., 'total', 'nu-fission', etc.)
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    domain : Material or Cell or Universe
+        Domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        Domain type for spatial homogenization
+    energy_groups : openmc.mgxs.EnergyGroups
+        Energy group structure for energy condensation
+    tally_trigger : openmc.Trigger
+        An (optional) tally precision trigger given to each tally used to
+        compute the cross section
+    scores : list of str
+        The scores in each tally used to compute the multi-group cross section
+    filters : list of openmc.Filter
+        The filters in each tally used to compute the multi-group cross section
+    tally_keys : list of str
+        The keys into the tallies dictionary for each tally used to compute
+        the multi-group cross section
+    estimator : {'tracklength', 'analog'}
+        The tally estimator used to compute the multi-group cross section
+    tallies : collections.OrderedDict
+        OpenMC tallies needed to compute the multi-group cross section. The keys
+        are strings listed in the :attr:`ScatterXS.tally_keys` property and
+        values are instances of :class:`openmc.Tally`.
+    rxn_rate_tally : openmc.Tally
+        Derived tally for the reaction rate tally used in the numerator to
+        compute the multi-group cross section. This attribute is None
+        unless the multi-group cross section has been computed.
+    xs_tally : openmc.Tally
+        Derived tally for the multi-group cross section. This attribute
+        is None unless the multi-group cross section has been computed.
+    num_subdomains : int
+        The number of subdomains is unity for 'material', 'cell' and 'universe'
+        domain types. When the  This is equal to the number of cell instances
+        for 'distribcell' domain types (it is equal to unity prior to loading
+        tally data from a statepoint file).
+    num_nuclides : int
+        The number of nuclides for which the multi-group cross section is
+        being tracked. This is unity if the by_nuclide attribute is False.
+    nuclides : Iterable of str or 'sum'
+        The optional user-specified nuclides for which to compute cross
+        sections (e.g., 'U-238', 'O-16'). If by_nuclide is True but nuclides
+        are not specified by the user, all nuclides in the spatial domain
+        are included. This attribute is 'sum' if by_nuclide is false.
+    sparse : bool
+        Whether or not the MGXS' tallies use SciPy's LIL sparse matrix format
+        for compressed data storage
+    loaded_sp : bool
+        Whether or not a statepoint file has been loaded with tally data
+    derived : bool
+        Whether or not the MGXS is merged from one or more other MGXS
+    hdf5_key : str
+        The key used to index multi-group cross sections in an HDF5 data store
+
+    """
+
+    def __init__(self, domain=None, domain_type=None,
+                 groups=None, by_nuclide=False, name=''):
+        super(ScatterXS, self).__init__(domain, domain_type,
+                                        groups, by_nuclide, name)
+        self._rxn_type = 'scatter'
+
+
+class NuScatterXS(MGXS):
+    r"""A scattering neutron production multi-group cross section.
+
+    The neutron production from scattering is defined as the average number of
+    neutrons produced from all neutron-producing reactions except for fission.
+
+    This class can be used for both OpenMC input generation and tally data
+    post-processing to compute spatially-homogenized and energy-integrated
+    multi-group cross sections for multi-group neutronics calculations. At a
+    minimum, one needs to set the :attr:`NuScatterXS.energy_groups` and
+    :attr:`NuScatterXS.domain` properties. Tallies for the flux and appropriate
+    reaction rates over the specified domain are generated automatically via the
+    :attr:`NuScatterXS.tallies` property, which can then be appended to a
+    :class:`openmc.Tallies` instance.
+
+    For post-processing, the :meth:`MGXS.load_from_statepoint` will pull in the
+    necessary data to compute multi-group cross sections from a
+    :class:`openmc.StatePoint` instance. The derived multi-group cross section
+    can then be obtained from the :attr:`NuScatterXS.xs_tally` property.
+
+    For a spatial domain :math:`V` and energy group :math:`[E_g,E_{g-1}]`, the
+    scattering neutron production cross section is calculated as:
+
+    .. math::
+
+       \frac{\int_{r \in V} dr \int_{4\pi} d\Omega \int_{E_g}^{E_{g-1}} dE \;
+       \sum_i \upsilon_i \sigma_i (r, E) \psi (r, E, \Omega)}{\int_{r \in V} dr
+       \int_{4\pi} d\Omega \int_{E_g}^{E_{g-1}} dE \; \psi (r, E, \Omega)}.
+
+    where :math:`\upsilon_i` is the multiplicity of the :math:`i`-th scattering
+    reaction.
+
+    Parameters
+    ----------
+    domain : openmc.Material or openmc.Cell or openmc.Universe
+        The domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        The domain type for spatial homogenization
+    groups : openmc.mgxs.EnergyGroups
+        The energy group structure for energy condensation
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    name : str, optional
+        Name of the multi-group cross section. Used as a label to identify
+        tallies in OpenMC 'tallies.xml' file.
+
+    Attributes
+    ----------
+    name : str, optional
+        Name of the multi-group cross section
+    rxn_type : str
+        Reaction type (e.g., 'total', 'nu-fission', etc.)
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    domain : Material or Cell or Universe
+        Domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        Domain type for spatial homogenization
+    energy_groups : openmc.mgxs.EnergyGroups
+        Energy group structure for energy condensation
+    tally_trigger : openmc.Trigger
+        An (optional) tally precision trigger given to each tally used to
+        compute the cross section
+    scores : list of str
+        The scores in each tally used to compute the multi-group cross section
+    filters : list of openmc.Filter
+        The filters in each tally used to compute the multi-group cross section
+    tally_keys : list of str
+        The keys into the tallies dictionary for each tally used to compute
+        the multi-group cross section
+    estimator : {'tracklength', 'analog'}
+        The tally estimator used to compute the multi-group cross section
+    tallies : collections.OrderedDict
+        OpenMC tallies needed to compute the multi-group cross section. The keys
+        are strings listed in the :attr:`NuScatterXS.tally_keys` property and
+        values are instances of :class:`openmc.Tally`.
+    rxn_rate_tally : openmc.Tally
+        Derived tally for the reaction rate tally used in the numerator to
+        compute the multi-group cross section. This attribute is None
+        unless the multi-group cross section has been computed.
+    xs_tally : openmc.Tally
+        Derived tally for the multi-group cross section. This attribute
+        is None unless the multi-group cross section has been computed.
+    num_subdomains : int
+        The number of subdomains is unity for 'material', 'cell' and 'universe'
+        domain types. When the  This is equal to the number of cell instances
+        for 'distribcell' domain types (it is equal to unity prior to loading
+        tally data from a statepoint file).
+    num_nuclides : int
+        The number of nuclides for which the multi-group cross section is
+        being tracked. This is unity if the by_nuclide attribute is False.
+    nuclides : Iterable of str or 'sum'
+        The optional user-specified nuclides for which to compute cross
+        sections (e.g., 'U-238', 'O-16'). If by_nuclide is True but nuclides
+        are not specified by the user, all nuclides in the spatial domain
+        are included. This attribute is 'sum' if by_nuclide is false.
+    sparse : bool
+        Whether or not the MGXS' tallies use SciPy's LIL sparse matrix format
+        for compressed data storage
+    loaded_sp : bool
+        Whether or not a statepoint file has been loaded with tally data
+    derived : bool
+        Whether or not the MGXS is merged from one or more other MGXS
+    hdf5_key : str
+        The key used to index multi-group cross sections in an HDF5 data store
+
+    """
+
+    def __init__(self, domain=None, domain_type=None,
+                 groups=None, by_nuclide=False, name=''):
+        super(NuScatterXS, self).__init__(domain, domain_type,
+                                          groups, by_nuclide, name)
+        self._rxn_type = 'nu-scatter'
+
+    @property
+    def estimator(self):
+        return 'analog'
+
+
+class ScatterMatrixXS(MatrixMGXS):
+    r"""A scattering matrix multi-group cross section for one or more Legendre
+    moments.
+
+    This class can be used for both OpenMC input generation and tally data
+    post-processing to compute spatially-homogenized and energy-integrated
+    multi-group cross sections for multi-group neutronics calculations. At a
+    minimum, one needs to set the :attr:`ScatterMatrixXS.energy_groups` and
+    :attr:`ScatterMatrixXS.domain` properties. Tallies for the flux and
+    appropriate reaction rates over the specified domain are generated
+    automatically via the :attr:`ScatterMatrixXS.tallies` property, which can
+    then be appended to a :class:`openmc.Tallies` instance.
+
+    For post-processing, the :meth:`MGXS.load_from_statepoint` will pull in the
+    necessary data to compute multi-group cross sections from a
+    :class:`openmc.StatePoint` instance. The derived multi-group cross section
+    can then be obtained from the :attr:`ScatterMatrixXS.xs_tally` property.
+
+    For a spatial domain :math:`V`, incoming energy group
+    :math:`[E_{g'},E_{g'-1}]`, and outgoing energy group :math:`[E_g,E_{g-1}]`,
+    the scattering moments are calculated as:
+
+    .. math::
+
+       \langle \sigma_{s,\ell,g'\rightarrow g} \phi \rangle &= \int_{r \in V} dr
+       \int_{4\pi} d\Omega' \int_{E_{g'}}^{E_{g'-1}} dE' \int_{4\pi} d\Omega
+       \int_{E_g}^{E_{g-1}} dE \; P_\ell (\Omega \cdot \Omega') \sigma_s (r, E'
+       \rightarrow E, \Omega' \cdot \Omega) \psi(r, E', \Omega')\\
+       \langle \phi \rangle &= \int_{r \in V} dr \int_{4\pi} d\Omega
+       \int_{E_g}^{E_{g-1}} dE \; \psi (r, E, \Omega) \\
+       \sigma_{s,\ell,g'\rightarrow g} &= \frac{\langle
+       \sigma_{s,\ell,g'\rightarrow g} \phi \rangle}{\langle \phi \rangle}
+
+    If the order is zero and a :math:`P_0` transport-correction is applied
+    (default), the scattering matrix elements are:
+
+    .. math::
+
+       \sigma_{s,g'\rightarrow g} = \frac{\langle \sigma_{s,0,g'\rightarrow g}
+       \phi \rangle - \delta_{gg'} \sum_{g''} \langle \sigma_{s,1,g''\rightarrow
+       g} \phi \rangle}{\langle \phi \rangle}
+
+
+    Parameters
+    ----------
+    domain : openmc.Material or openmc.Cell or openmc.Universe
+        The domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        The domain type for spatial homogenization
+    groups : openmc.mgxs.EnergyGroups
+        The energy group structure for energy condensation
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    name : str, optional
+        Name of the multi-group cross section. Used as a label to identify
+        tallies in OpenMC 'tallies.xml' file.
+
+    Attributes
+    ----------
+    correction : 'P0' or None
+        Apply the P0 correction to scattering matrices if set to 'P0'
+    legendre_order : int
+        The highest Legendre moment in the scattering matrix (default is 0)
+    name : str, optional
+        Name of the multi-group cross section
+    rxn_type : str
+        Reaction type (e.g., 'total', 'nu-fission', etc.)
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    domain : Material or Cell or Universe
+        Domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        Domain type for spatial homogenization
+    energy_groups : openmc.mgxs.EnergyGroups
+        Energy group structure for energy condensation
+    tally_trigger : openmc.Trigger
+        An (optional) tally precision trigger given to each tally used to
+        compute the cross section
+    scores : list of str
+        The scores in each tally used to compute the multi-group cross section
+    filters : list of openmc.Filter
+        The filters in each tally used to compute the multi-group cross section
+    tally_keys : list of str
+        The keys into the tallies dictionary for each tally used to compute
+        the multi-group cross section
+    estimator : {'tracklength', 'analog'}
+        The tally estimator used to compute the multi-group cross section
+    tallies : collections.OrderedDict
+        OpenMC tallies needed to compute the multi-group cross section. The keys
+        are strings listed in the :attr:`ScatterMatrixXS.tally_keys` property
+        and values are instances of :class:`openmc.Tally`.
+    rxn_rate_tally : openmc.Tally
+        Derived tally for the reaction rate tally used in the numerator to
+        compute the multi-group cross section. This attribute is None
+        unless the multi-group cross section has been computed.
+    xs_tally : openmc.Tally
+        Derived tally for the multi-group cross section. This attribute
+        is None unless the multi-group cross section has been computed.
+    num_subdomains : int
+        The number of subdomains is unity for 'material', 'cell' and 'universe'
+        domain types. When the  This is equal to the number of cell instances
+        for 'distribcell' domain types (it is equal to unity prior to loading
+        tally data from a statepoint file).
+    num_nuclides : int
+        The number of nuclides for which the multi-group cross section is
+        being tracked. This is unity if the by_nuclide attribute is False.
+    nuclides : Iterable of str or 'sum'
+        The optional user-specified nuclides for which to compute cross
+        sections (e.g., 'U-238', 'O-16'). If by_nuclide is True but nuclides
+        are not specified by the user, all nuclides in the spatial domain
+        are included. This attribute is 'sum' if by_nuclide is false.
+    sparse : bool
+        Whether or not the MGXS' tallies use SciPy's LIL sparse matrix format
+        for compressed data storage
+    loaded_sp : bool
+        Whether or not a statepoint file has been loaded with tally data
+    derived : bool
+        Whether or not the MGXS is merged from one or more other MGXS
+    hdf5_key : str
+        The key used to index multi-group cross sections in an HDF5 data store
+
+    """
+
+    def __init__(self, domain=None, domain_type=None,
+                 groups=None, by_nuclide=False, name=''):
+        super(ScatterMatrixXS, self).__init__(domain, domain_type,
+                                              groups, by_nuclide, name)
+        self._rxn_type = 'scatter'
+        self._correction = 'P0'
+        self._legendre_order = 0
+        self._hdf5_key = 'scatter matrix'
+
+    def __deepcopy__(self, memo):
+        clone = super(ScatterMatrixXS, self).__deepcopy__(memo)
+        clone._correction = self.correction
+        clone._legendre_order = self.legendre_order
+        return clone
+
+    @property
+    def correction(self):
+        return self._correction
+
+    @property
+    def legendre_order(self):
+        return self._legendre_order
+
+    @property
+    def scores(self):
+        scores = ['flux']
+
+        if self.correction == 'P0' and self.legendre_order == 0:
+            scores += ['{}-0'.format(self.rxn_type),
+                       '{}-1'.format(self.rxn_type)]
+        else:
+            scores += ['{}-P{}'.format(self.rxn_type, self.legendre_order)]
+
+        return scores
+
+    @property
+    def filters(self):
+        group_edges = self.energy_groups.group_edges
+        energy = openmc.Filter('energy', group_edges)
+        energyout = openmc.Filter('energyout', group_edges)
+
+        if self.correction == 'P0' and self.legendre_order == 0:
+            filters = [[energy], [energy, energyout], [energyout]]
+        else:
+            filters = [[energy], [energy, energyout]]
+
+        return filters
+
+    @property
+    def rxn_rate_tally(self):
+
+        if self._rxn_rate_tally is None:
+
+            # If using P0 correction subtract scatter-1 from the diagonal
+            if self.correction == 'P0' and self.legendre_order == 0:
+                scatter_p0 = self.tallies['{}-0'.format(self.rxn_type)]
+                scatter_p1 = self.tallies['{}-1'.format(self.rxn_type)]
+                energy_filter = scatter_p0.find_filter('energy')
+                energy_filter = copy.deepcopy(energy_filter)
+                scatter_p1 = scatter_p1.diagonalize_filter(energy_filter)
+                self._rxn_rate_tally = scatter_p0 - scatter_p1
+
+            # Extract scattering moment reaction rate Tally
+            else:
+                tally_key = '{}-P{}'.format(self.rxn_type, self.legendre_order)
+                self._rxn_rate_tally = self.tallies[tally_key]
+
+            self._rxn_rate_tally.sparse = self.sparse
+
+        return self._rxn_rate_tally
+
+    @correction.setter
+    def correction(self, correction):
+        cv.check_value('correction', correction, ('P0', None))
+
+        if correction == 'P0' and self.legendre_order > 0:
+            msg = 'The P0 correction will be ignored since the scattering ' \
+                  'order {} is greater than zero'.format(self.legendre_order)
+            warnings.warn(msg)
+
+        self._correction = correction
+
+    @legendre_order.setter
+    def legendre_order(self, legendre_order):
+        cv.check_type('legendre_order', legendre_order, Integral)
+        cv.check_greater_than('legendre_order', legendre_order, 0, equality=True)
+        cv.check_less_than('legendre_order', legendre_order, 10, equality=True)
+
+        if self.correction == 'P0' and legendre_order > 0:
+            msg = 'The P0 correction will be ignored since the scattering ' \
+                  'order {} is greater than zero'.format(self.legendre_order)
+            warnings.warn(msg, RuntimeWarning)
+            self.correction = None
+
+        self._legendre_order = legendre_order
+
+    def load_from_statepoint(self, statepoint):
+        """Extracts tallies in an OpenMC StatePoint with the data needed to
+        compute multi-group cross sections.
+
+        This method is needed to compute cross section data from tallies
+        in an OpenMC StatePoint object.
+
+        NOTE: The statepoint must first be linked with an OpenMC Summary object.
+
+        Parameters
+        ----------
+        statepoint : openmc.StatePoint
+            An OpenMC StatePoint object with tally data
+
+        Raises
+        ------
+        ValueError
+            When this method is called with a statepoint that has not been
+            linked with a summary object.
+
+        """
+
+        # Clear any tallies previously loaded from a statepoint
+        if self.loaded_sp:
+            self._tallies = None
+            self._xs_tally = None
+            self._rxn_rate_tally = None
+            self._loaded_sp = False
+
+        # Expand scores to match the format in the statepoint
+        # e.g., "scatter-P2" -> "scatter-0", "scatter-1", "scatter-2"
+        if self.correction != 'P0' or self.legendre_order != 0:
+            tally_key = '{}-P{}'.format(self.rxn_type, self.legendre_order)
+            self.tallies[tally_key].scores = \
+                [self.rxn_type + '-{}'.format(i) for i in range(self.legendre_order+1)]
+
+        super(ScatterMatrixXS, self).load_from_statepoint(statepoint)
+
+    def get_slice(self, nuclides=[], in_groups=[], out_groups=[],
+                  legendre_order='same'):
+        """Build a sliced ScatterMatrix for the specified nuclides and
+        energy groups.
+
+        This method constructs a new MGXS to encapsulate a subset of the data
+        represented by this MGXS. The subset of data to include in the tally
+        slice is determined by the nuclides and energy groups specified in
+        the input parameters.
+
+        Parameters
+        ----------
+        nuclides : list of str
+            A list of nuclide name strings
+            (e.g., ['U-235', 'U-238']; default is [])
+        in_groups : list of int
+            A list of incoming energy group indices starting at 1 for the high
+            energies (e.g., [1, 2, 3]; default is [])
+        out_groups : list of int
+            A list of outgoing energy group indices starting at 1 for the high
+            energies (e.g., [1, 2, 3]; default is [])
+        legendre_order : int or 'same'
+            The highest Legendre moment in the sliced MGXS. If order is 'same'
+            then the sliced MGXS will have the same Legendre moments as the
+            original MGXS (default). If order is an integer less than the
+            original MGXS' order, then only those Legendre moments up to that
+            order will be included in the sliced MGXS.
+
+        Returns
+        -------
+        openmc.mgxs.MatrixMGXS
+            A new MatrixMGXS which encapsulates the subset of data requested
+            for the nuclide(s) and/or energy group(s) requested in the
+            parameters.
+
+        """
+
+        # Call super class method and null out derived tallies
+        slice_xs = super(ScatterMatrixXS, self).get_slice(nuclides, in_groups)
+        slice_xs._rxn_rate_tally = None
+        slice_xs._xs_tally = None
+
+        # Slice the Legendre order if needed
+        if legendre_order != 'same':
+            cv.check_type('legendre_order', legendre_order, Integral)
+            cv.check_less_than('legendre_order', legendre_order,
+                               self.legendre_order, equality=True)
+            slice_xs.legendre_order = legendre_order
+
+            # Slice the scattering tally
+            tally_key = '{}-P{}'.format(self.rxn_type, self.legendre_order)
+            expand_scores = \
+                [self.rxn_type + '-{}'.format(i) for i in range(self.legendre_order+1)]
+            slice_xs.tallies[tally_key] = \
+                slice_xs.tallies[tally_key].get_slice(scores=expand_scores)
+
+        # Slice outgoing energy groups if needed
+        if len(out_groups) != 0:
+            filter_bins = []
+            for group in out_groups:
+                group_bounds = self.energy_groups.get_group_bounds(group)
+                filter_bins.append(group_bounds)
+            filter_bins = [tuple(filter_bins)]
+
+            # Slice each of the tallies across energyout groups
+            for tally_type, tally in slice_xs.tallies.items():
+                if tally.contains_filter('energyout'):
+                    tally_slice = tally.get_slice(filters=['energyout'],
+                                                  filter_bins=filter_bins)
+                    slice_xs.tallies[tally_type] = tally_slice
+
+        slice_xs.sparse = self.sparse
+        return slice_xs
+
+    def get_xs(self, in_groups='all', out_groups='all',
+               subdomains='all', nuclides='all', moment='all',
+               xs_type='macro', order_groups='increasing',
+               row_column='inout', value='mean'):
+        r"""Returns an array of multi-group cross sections.
+
+        This method constructs a 2D NumPy array for the requested scattering
+        matrix data data for one or more energy groups and subdomains.
+
+        NOTE: The scattering moments are not multiplied by the :math:`(2l+1)/2`
+        prefactor in the expansion of the scattering source into Legendre
+        moments in the neutron transport equation.
+
+        Parameters
+        ----------
+        in_groups : Iterable of Integral or 'all'
+            Incoming energy groups of interest. Defaults to 'all'.
+        out_groups : Iterable of Integral or 'all'
+            Outgoing energy groups of interest. Defaults to 'all'.
+        subdomains : Iterable of Integral or 'all'
+            Subdomain IDs of interest. Defaults to 'all'.
+        nuclides : Iterable of str or 'all' or 'sum'
+            A list of nuclide name strings (e.g., ['U-235', 'U-238']). The
+            special string 'all' will return the cross sections for all nuclides
+            in the spatial domain. The special string 'sum' will return the
+            cross section summed over all nuclides. Defaults to 'all'.
+        moment : int or 'all'
+            The scattering matrix moment to return. All moments will be
+             returned if the moment is 'all' (default); otherwise, a specific
+             moment will be returned.
+        xs_type: {'macro', 'micro'}
+            Return the macro or micro cross section in units of cm^-1 or barns.
+            Defaults to 'macro'.
+        order_groups: {'increasing', 'decreasing'}
+            Return the cross section indexed according to increasing or
+            decreasing energy groups (decreasing or increasing energies).
+            Defaults to 'increasing'.
+        row_column: {'inout', 'outin'}
+            Return the cross section indexed first by incoming group and
+            second by outgoing group ('inout'), or vice versa ('outin').
+            Defaults to 'inout'.
+        value : {'mean', 'std_dev', 'rel_err'}
+            A string for the type of value to return. Defaults to 'mean'.
+
+        Returns
+        -------
+        ndarray
+            A NumPy array of the multi-group cross section indexed in the order
+            each group and subdomain is listed in the parameters.
+
+        Raises
+        ------
+        ValueError
+            When this method is called before the multi-group cross section is
+            computed from tally data.
+
+        """
+
+        cv.check_value('value', value, ['mean', 'std_dev', 'rel_err'])
+        cv.check_value('xs_type', xs_type, ['macro', 'micro'])
+
+        filters = []
+        filter_bins = []
+
+        # Construct a collection of the domain filter bins
+        if not isinstance(subdomains, basestring):
+            cv.check_iterable_type('subdomains', subdomains, Integral, max_depth=2)
+            for subdomain in subdomains:
+                filters.append(self.domain_type)
+                filter_bins.append((subdomain,))
+
+        # Construct list of energy group bounds tuples for all requested groups
+        if not isinstance(in_groups, basestring):
+            cv.check_iterable_type('groups', in_groups, Integral)
+            for group in in_groups:
+                filters.append('energy')
+                filter_bins.append((self.energy_groups.get_group_bounds(group),))
+
+        # Construct list of energy group bounds tuples for all requested groups
+        if not isinstance(out_groups, basestring):
+            cv.check_iterable_type('groups', out_groups, Integral)
+            for group in out_groups:
+                filters.append('energyout')
+                filter_bins.append((self.energy_groups.get_group_bounds(group),))
+
+        # Construct CrossScore for requested scattering moment
+        if moment != 'all':
+            cv.check_type('moment', moment, Integral)
+            cv.check_greater_than('moment', moment, 0, equality=True)
+            cv.check_less_than(
+                'moment', moment, self.legendre_order, equality=True)
+            scores = [self.xs_tally.scores[moment]]
+        else:
+            scores = []
+
+        # Construct a collection of the nuclides to retrieve from the xs tally
+        if self.by_nuclide:
+            if nuclides == 'all' or nuclides == 'sum' or nuclides == ['sum']:
+                query_nuclides = self.get_all_nuclides()
+            else:
+                query_nuclides = nuclides
+        else:
+            query_nuclides = ['total']
+
+        # Use tally summation if user requested the sum for all nuclides
+        if nuclides == 'sum' or nuclides == ['sum']:
+            xs_tally = self.xs_tally.summation(nuclides=query_nuclides)
+            xs = xs_tally.get_values(scores=scores, filters=filters,
+                                     filter_bins=filter_bins, value=value)
+        else:
+            xs = self.xs_tally.get_values(scores=scores, filters=filters,
+                                          filter_bins=filter_bins,
+                                          nuclides=query_nuclides, value=value)
+
+        xs = np.nan_to_num(xs)
+
         # Divide by atom number densities for microscopic cross sections
         if xs_type == 'micro':
             if self.by_nuclide:
@@ -1858,6 +3586,10 @@ class ScatterMatrixXS(MGXS):
             new_shape += xs.shape[1:]
             xs = np.reshape(xs, new_shape)
 
+            # Transpose the scattering matrix if requested by user
+            if row_column == 'outin':
+                xs = np.swapaxes(xs, 1, 2)
+
             # Reverse energies to align with increasing energy groups
             xs = xs[:, ::-1, ::-1, :]
 
@@ -1867,7 +3599,77 @@ class ScatterMatrixXS(MGXS):
 
         return xs
 
-    def print_xs(self, subdomains='all', nuclides='all', xs_type='macro'):
+    def get_pandas_dataframe(self, groups='all', nuclides='all', moment='all',
+                             xs_type='macro', distribcell_paths=True):
+        """Build a Pandas DataFrame for the MGXS data.
+
+        This method leverages :meth:`openmc.Tally.get_pandas_dataframe`, but
+        renames the columns with terminology appropriate for cross section data.
+
+        Parameters
+        ----------
+        groups : Iterable of Integral or 'all'
+            Energy groups of interest. Defaults to 'all'.
+        nuclides : Iterable of str or 'all' or 'sum'
+            The nuclides of the cross-sections to include in the dataframe. This
+            may be a list of nuclide name strings (e.g., ['U-235', 'U-238']).
+            The special string 'all' will include the cross sections for all
+            nuclides in the spatial domain. The special string 'sum' will
+            include the cross sections summed over all nuclides. Defaults
+            to 'all'.
+        moment : int or 'all'
+            The scattering matrix moment to return. All moments will be
+             returned if the moment is 'all' (default); otherwise, a specific
+             moment will be returned.
+        xs_type: {'macro', 'micro'}
+            Return macro or micro cross section in units of cm^-1 or barns.
+            Defaults to 'macro'.
+        distribcell_paths : bool, optional
+            Construct columns for distribcell tally filters (default is True).
+            The geometric information in the Summary object is embedded into a
+            Multi-index column with a geometric "path" to each distribcell
+            instance.
+
+        Returns
+        -------
+        pandas.DataFrame
+            A Pandas DataFrame for the cross section data.
+
+        Raises
+        ------
+        ValueError
+            When this method is called before the multi-group cross section is
+            computed from tally data.
+
+        """
+
+        df = super(ScatterMatrixXS, self).get_pandas_dataframe(
+            groups, nuclides, xs_type, distribcell_paths)
+
+        # Add a moment column to dataframe
+        if self.legendre_order > 0:
+            # Insert a column corresponding to the Legendre moments
+            moments = ['P{}'.format(i) for i in range(self.legendre_order+1)]
+            moments = np.tile(moments, df.shape[0] / len(moments))
+            df['moment'] = moments
+
+            # Place the moment column before the mean column
+            mean_index = df.columns.get_loc('mean')
+            columns = df.columns.tolist()
+            df = df[columns[:mean_index] + ['moment'] + columns[mean_index:-1]]
+
+        # Select rows corresponding to requested scattering moment
+        if moment != 'all':
+            cv.check_type('moment', moment, Integral)
+            cv.check_greater_than('moment', moment, 0, equality=True)
+            cv.check_less_than(
+                'moment', moment, self.legendre_order, equality=True)
+            df = df[df['moment'] == 'P{}'.format(moment)]
+
+        return df
+
+    def print_xs(self, subdomains='all', nuclides='all',
+                 xs_type='macro', moment=0):
         """Prints a string representation for the multi-group cross section.
 
         Parameters
@@ -1884,11 +3686,13 @@ class ScatterMatrixXS(MGXS):
         xs_type: {'macro', 'micro'}
             Return the macro or micro cross section in units of cm^-1 or barns.
             Defaults to 'macro'.
+        moment : int
+            The scattering moment to print (default is 0)
 
         """
 
         # Construct a collection of the subdomains to report
-        if subdomains != 'all':
+        if not isinstance(subdomains, basestring):
             cv.check_iterable_type('subdomains', subdomains, Integral)
         elif self.domain_type == 'distribcell':
             subdomains = np.arange(self.num_subdomains, dtype=np.int)
@@ -1908,14 +3712,19 @@ class ScatterMatrixXS(MGXS):
 
         cv.check_value('xs_type', xs_type, ['macro', 'micro'])
 
+        if self.correction != 'P0':
+            rxn_type = '{0} (P{1})'.format(self.rxn_type, moment)
+        else:
+            rxn_type = self.rxn_type
+
         # Build header for string with type and domain info
         string = 'Multi-Group XS\n'
-        string += '{0: <16}=\t{1}\n'.format('\tReaction Type', self.rxn_type)
+        string += '{0: <16}=\t{1}\n'.format('\tReaction Type', rxn_type)
         string += '{0: <16}=\t{1}\n'.format('\tDomain Type', self.domain_type)
         string += '{0: <16}=\t{1}\n'.format('\tDomain ID', self.domain.id)
 
         # If cross section data has not been computed, only print string header
-        if self.xs_tally is None:
+        if self.tallies is None:
             print(string)
             return
 
@@ -1923,16 +3732,10 @@ class ScatterMatrixXS(MGXS):
         template = '{0: <12}Group {1} [{2: <10} - {3: <10}MeV]\n'
 
         # Loop over energy groups ranges
-        for group in range(1, self.num_groups+1):
+        for group in range(1, self.num_groups + 1):
             bounds = self.energy_groups.get_group_bounds(group)
             string += template.format('', group, bounds[0], bounds[1])
 
-        if subdomains == 'all':
-            if self.domain_type == 'distribcell':
-                subdomains = np.arange(self.num_subdomains, dtype=np.int)
-            else:
-                subdomains = [self.domain.id]
-
         # Loop over all subdomains
         for subdomain in subdomains:
 
@@ -1956,20 +3759,21 @@ class ScatterMatrixXS(MGXS):
                 template = '{0: <12}Group {1} -> Group {2}:\t\t'
 
                 # Loop over incoming/outgoing energy groups ranges
-                for in_group in range(1, self.num_groups+1):
-                    for out_group in range(1, self.num_groups+1):
+                for in_group in range(1, self.num_groups + 1):
+                    for out_group in range(1, self.num_groups + 1):
                         string += template.format('', in_group, out_group)
                         average = \
                             self.get_xs([in_group], [out_group],
-                                        [subdomain], [nuclide],
+                                        [subdomain], [nuclide], moment=moment,
                                         xs_type=xs_type, value='mean')
                         rel_err = \
                             self.get_xs([in_group], [out_group],
-                                        [subdomain], [nuclide],
+                                        [subdomain], [nuclide], moment=moment,
                                         xs_type=xs_type, value='rel_err')
                         average = average.flatten()[0]
                         rel_err = rel_err.flatten()[0] * 100.
-                        string += '{:1.2e} +/- {:1.2e}%'.format(average, rel_err)
+                        string += '{:1.2e} +/- {:1.2e}%'.format(average,
+                                                                rel_err)
                         string += '\n'
                     string += '\n'
                 string += '\n'
@@ -1979,51 +3783,490 @@ class ScatterMatrixXS(MGXS):
 
 
 class NuScatterMatrixXS(ScatterMatrixXS):
-    """A scattering production matrix multi-group cross section."""
+    """A scattering production matrix multi-group cross section for one or
+    more Legendre moments.
+
+    This class can be used for both OpenMC input generation and tally data
+    post-processing to compute spatially-homogenized and energy-integrated
+    multi-group cross sections for multi-group neutronics calculations. At a
+    minimum, one needs to set the :attr:`NuScatterMatrixXS.energy_groups` and
+    :attr:`NuScatterMatrixXS.domain` properties. Tallies for the flux and
+    appropriate reaction rates over the specified domain are generated
+    automatically via the :attr:`NuScatterMatrixXS.tallies` property, which can
+    then be appended to a :class:`openmc.Tallies` instance.
+
+    For post-processing, the :meth:`MGXS.load_from_statepoint` will pull in the
+    necessary data to compute multi-group cross sections from a
+    :class:`openmc.StatePoint` instance. The derived multi-group cross section
+    can then be obtained from the :attr:`NuScatterMatrixXS.xs_tally` property.
+
+    The calculation of the scattering-production matrix is the same as that for
+    :class:`ScatterMatrixXS` except that the scattering multiplicity is
+    accounted for.
+
+    Parameters
+    ----------
+    domain : openmc.Material or openmc.Cell or openmc.Universe
+        The domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        The domain type for spatial homogenization
+    groups : openmc.mgxs.EnergyGroups
+        The energy group structure for energy condensation
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    name : str, optional
+        Name of the multi-group cross section. Used as a label to identify
+        tallies in OpenMC 'tallies.xml' file.
+
+    Attributes
+    ----------
+    correction : 'P0' or None
+        Apply the P0 correction to scattering matrices if set to 'P0'
+    legendre_order : int
+        The highest legendre moment in the scattering matrix (default is 0)
+    name : str, optional
+        Name of the multi-group cross section
+    rxn_type : str
+        Reaction type (e.g., 'total', 'nu-fission', etc.)
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    domain : Material or Cell or Universe
+        Domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        Domain type for spatial homogenization
+    energy_groups : openmc.mgxs.EnergyGroups
+        Energy group structure for energy condensation
+    tally_trigger : openmc.Trigger
+        An (optional) tally precision trigger given to each tally used to
+        compute the cross section
+    scores : list of str
+        The scores in each tally used to compute the multi-group cross section
+    filters : list of openmc.Filter
+        The filters in each tally used to compute the multi-group cross section
+    tally_keys : list of str
+        The keys into the tallies dictionary for each tally used to compute
+        the multi-group cross section
+    estimator : {'tracklength', 'analog'}
+        The tally estimator used to compute the multi-group cross section
+    tallies : collections.OrderedDict
+        OpenMC tallies needed to compute the multi-group cross section. The keys
+        are strings listed in the :attr:`NuScatterMatrixXS.tally_keys` property
+        and values are instances of :class:`openmc.Tally`.
+    rxn_rate_tally : openmc.Tally
+        Derived tally for the reaction rate tally used in the numerator to
+        compute the multi-group cross section. This attribute is None
+        unless the multi-group cross section has been computed.
+    xs_tally : openmc.Tally
+        Derived tally for the multi-group cross section. This attribute
+        is None unless the multi-group cross section has been computed.
+    num_subdomains : int
+        The number of subdomains is unity for 'material', 'cell' and 'universe'
+        domain types. When the  This is equal to the number of cell instances
+        for 'distribcell' domain types (it is equal to unity prior to loading
+        tally data from a statepoint file).
+    num_nuclides : int
+        The number of nuclides for which the multi-group cross section is
+        being tracked. This is unity if the by_nuclide attribute is False.
+    nuclides : Iterable of str or 'sum'
+        The optional user-specified nuclides for which to compute cross
+        sections (e.g., 'U-238', 'O-16'). If by_nuclide is True but nuclides
+        are not specified by the user, all nuclides in the spatial domain
+        are included. This attribute is 'sum' if by_nuclide is false.
+    sparse : bool
+        Whether or not the MGXS' tallies use SciPy's LIL sparse matrix format
+        for compressed data storage
+    loaded_sp : bool
+        Whether or not a statepoint file has been loaded with tally data
+    derived : bool
+        Whether or not the MGXS is merged from one or more other MGXS
+    hdf5_key : str
+        The key used to index multi-group cross sections in an HDF5 data store
+
+    """
 
     def __init__(self, domain=None, domain_type=None,
                  groups=None, by_nuclide=False, name=''):
         super(NuScatterMatrixXS, self).__init__(domain, domain_type,
                                                 groups, by_nuclide, name)
-        self._rxn_type = 'nu-scatter matrix'
+        self._rxn_type = 'nu-scatter'
+        self._hdf5_key = 'nu-scatter matrix'
+
+
+class MultiplicityMatrixXS(MatrixMGXS):
+    r"""The scattering multiplicity matrix.
+
+    This class can be used for both OpenMC input generation and tally data
+    post-processing to compute spatially-homogenized and energy-integrated
+    multi-group cross sections for multi-group neutronics calculations. At a
+    minimum, one needs to set the :attr:`MultiplicityMatrixXS.energy_groups` and
+    :attr:`MultiplicityMatrixXS.domain` properties. Tallies for the flux and
+    appropriate reaction rates over the specified domain are generated
+    automatically via the :attr:`MultiplicityMatrixXS.tallies` property, which
+    can then be appended to a :class:`openmc.Tallies` instance.
+
+    For post-processing, the :meth:`MGXS.load_from_statepoint` will pull in the
+    necessary data to compute multi-group cross sections from a
+    :class:`openmc.StatePoint` instance. The derived multi-group cross section
+    can then be obtained from the :attr:`MultiplicityMatrixXS.xs_tally`
+    property.
+
+    For a spatial domain :math:`V`, incoming energy group
+    :math:`[E_{g'},E_{g'-1}]`, and outgoing energy group :math:`[E_g,E_{g-1}]`,
+    the multiplicity is calculated as:
+
+    .. math::
+
+       \langle \upsilon \sigma_{s,g'\rightarrow g} \phi \rangle &= \int_{r \in
+       D} dr \int_{4\pi} d\Omega' \int_{E_{g'}}^{E_{g'-1}} dE' \int_{4\pi}
+       d\Omega \int_{E_g}^{E_{g-1}} dE \; \sum_i \upsilon_i \sigma_i (r, E' \rightarrow
+       E, \Omega' \cdot \Omega) \psi(r, E', \Omega') \\
+       \langle \sigma_{s,g'\rightarrow g} \phi \rangle &= \int_{r \in
+       D} dr \int_{4\pi} d\Omega' \int_{E_{g'}}^{E_{g'-1}} dE' \int_{4\pi}
+       d\Omega \int_{E_g}^{E_{g-1}} dE \; \sum_i \upsilon_i \sigma_i (r, E' \rightarrow
+       E, \Omega' \cdot \Omega) \psi(r, E', \Omega') \\
+       \upsilon_{g'\rightarrow g} &= \frac{\langle \upsilon
+       \sigma_{s,g'\rightarrow g} \rangle}{\langle \sigma_{s,g'\rightarrow g}
+       \rangle}
+
+    where :math:`\upsilon_i` is the multiplicity for the :math:`i`-th reaction.
+
+    Parameters
+    ----------
+    domain : openmc.Material or openmc.Cell or openmc.Universe
+        The domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        The domain type for spatial homogenization
+    groups : openmc.mgxs.EnergyGroups
+        The energy group structure for energy condensation
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    name : str, optional
+        Name of the multi-group cross section. Used as a label to identify
+        tallies in OpenMC 'tallies.xml' file.
+
+    Attributes
+    ----------
+    name : str, optional
+        Name of the multi-group cross section
+    rxn_type : str
+        Reaction type (e.g., 'total', 'nu-fission', etc.)
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    domain : Material or Cell or Universe
+        Domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        Domain type for spatial homogenization
+    energy_groups : openmc.mgxs.EnergyGroups
+        Energy group structure for energy condensation
+    tally_trigger : openmc.Trigger
+        An (optional) tally precision trigger given to each tally used to
+        compute the cross section
+    scores : list of str
+        The scores in each tally used to compute the multi-group cross section
+    filters : list of openmc.Filter
+        The filters in each tally used to compute the multi-group cross section
+    tally_keys : list of str
+        The keys into the tallies dictionary for each tally used to compute
+        the multi-group cross section
+    estimator : {'tracklength', 'analog'}
+        The tally estimator used to compute the multi-group cross section
+    tallies : collections.OrderedDict
+        OpenMC tallies needed to compute the multi-group cross section. The keys
+        are strings listed in the :attr:`MultiplicityMatrixXS.tally_keys`
+        property and values are instances of :class:`openmc.Tally`.
+    rxn_rate_tally : openmc.Tally
+        Derived tally for the reaction rate tally used in the numerator to
+        compute the multi-group cross section. This attribute is None
+        unless the multi-group cross section has been computed.
+    xs_tally : openmc.Tally
+        Derived tally for the multi-group cross section. This attribute
+        is None unless the multi-group cross section has been computed.
+    num_subdomains : int
+        The number of subdomains is unity for 'material', 'cell' and 'universe'
+        domain types. When the  This is equal to the number of cell instances
+        for 'distribcell' domain types (it is equal to unity prior to loading
+        tally data from a statepoint file).
+    num_nuclides : int
+        The number of nuclides for which the multi-group cross section is
+        being tracked. This is unity if the by_nuclide attribute is False.
+    nuclides : Iterable of str or 'sum'
+        The optional user-specified nuclides for which to compute cross
+        sections (e.g., 'U-238', 'O-16'). If by_nuclide is True but nuclides
+        are not specified by the user, all nuclides in the spatial domain
+        are included. This attribute is 'sum' if by_nuclide is false.
+    sparse : bool
+        Whether or not the MGXS' tallies use SciPy's LIL sparse matrix format
+        for compressed data storage
+    loaded_sp : bool
+        Whether or not a statepoint file has been loaded with tally data
+    derived : bool
+        Whether or not the MGXS is merged from one or more other MGXS
+    hdf5_key : str
+        The key used to index multi-group cross sections in an HDF5 data store
+
+    """
+
+    def __init__(self, domain=None, domain_type=None,
+                 groups=None, by_nuclide=False, name=''):
+        super(MultiplicityMatrixXS, self).__init__(domain, domain_type, groups,
+                                                   by_nuclide, name)
+        self._rxn_type = 'multiplicity matrix'
 
     @property
-    def tallies(self):
-        """Construct the OpenMC tallies needed to compute this cross section.
+    def scores(self):
+        scores = ['nu-scatter', 'scatter']
+        return scores
 
-        This method constructs three analog tallies to compute the 'flux',
-        'nu-scatter' and 'scatter-P1' reaction rates in the spatial domain and
-        energy groups of interest.
+    @property
+    def filters(self):
+        # Create the non-domain specific Filters for the Tallies
+        group_edges = self.energy_groups.group_edges
+        energy = openmc.Filter('energy', group_edges)
+        energyout = openmc.Filter('energyout', group_edges)
 
-        """
+        return [[energy, energyout], [energy, energyout]]
 
-        # Instantiate tallies if they do not exist
-        if self._tallies is None:
+    @property
+    def rxn_rate_tally(self):
+        if self._rxn_rate_tally is None:
+            self._rxn_rate_tally = self.tallies['nu-scatter']
+            self._rxn_rate_tally.sparse = self.sparse
+        return self._rxn_rate_tally
 
-            # Create the non-domain specific Filters for the Tallies
-            group_edges = self.energy_groups.group_edges
-            energy = openmc.Filter('energy', group_edges)
-            energyout = openmc.Filter('energyout', group_edges)
+    @property
+    def xs_tally(self):
 
-            # Create a list of scores for each Tally to be created
-            if self.correction == 'P0':
-                scores = ['flux', 'nu-scatter', 'scatter-P1']
-                estimator = 'analog'
-                keys = ['flux', 'scatter', 'scatter-P1']
-                filters = [[energy], [energy, energyout], [energyout]]
-            else:
-                scores = ['flux', 'nu-scatter']
-                estimator = 'analog'
-                keys = ['flux', 'scatter']
-                filters = [[energy], [energy, energyout]]
+        if self._xs_tally is None:
+            scatter = self.tallies['scatter']
 
-            # Intialize the Tallies
-            self._create_tallies(scores, filters, keys, estimator)
+            # Compute the multiplicity
+            self._xs_tally = self.rxn_rate_tally / scatter
+            super(MultiplicityMatrixXS, self)._compute_xs()
+
+        return self._xs_tally
+
+
+class NuFissionMatrixXS(MatrixMGXS):
+    r"""A fission production matrix multi-group cross section.
+
+    This class can be used for both OpenMC input generation and tally data
+    post-processing to compute spatially-homogenized and energy-integrated
+    multi-group cross sections for multi-group neutronics calculations. At a
+    minimum, one needs to set the :attr:`NuFissionMatrixXS.energy_groups` and
+    :attr:`NuFissionMatrixXS.domain` properties. Tallies for the flux and
+    appropriate reaction rates over the specified domain are generated
+    automatically via the :attr:`NuFissionMatrixXS.tallies` property, which can
+    then be appended to a :class:`openmc.Tallies` instance.
+
+    For post-processing, the :meth:`MGXS.load_from_statepoint` will pull in the
+    necessary data to compute multi-group cross sections from a
+    :class:`openmc.StatePoint` instance. The derived multi-group cross section
+    can then be obtained from the :attr:`NuFissionMatrixXS.xs_tally` property.
+
+    For a spatial domain :math:`V`, incoming energy group
+    :math:`[E_{g'},E_{g'-1}]`, and outgoing energy group :math:`[E_g,E_{g-1}]`,
+    the fission production is calculated as:
+
+    .. math::
+
+       \langle \nu\sigma_{f,g'\rightarrow g} \phi \rangle &= \int_{r \in V} dr
+       \int_{4\pi} d\Omega' \int_{E_{g'}}^{E_{g'-1}} dE' \int_{E_g}^{E_{g-1}} dE
+       \; \chi(E) \nu\sigma_f (r, E') \psi(r, E', \Omega')\\
+       \langle \phi \rangle &= \int_{r \in V} dr \int_{4\pi} d\Omega
+       \int_{E_g}^{E_{g-1}} dE \; \psi (r, E, \Omega) \\
+       \nu\sigma_{f,g'\rightarrow g} &= \frac{\langle \nu\sigma_{f,g'\rightarrow
+       g} \phi \rangle}{\langle \phi \rangle}
+
+    Parameters
+    ----------
+    domain : openmc.Material or openmc.Cell or openmc.Universe
+        The domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        The domain type for spatial homogenization
+    groups : openmc.mgxs.EnergyGroups
+        The energy group structure for energy condensation
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    name : str, optional
+        Name of the multi-group cross section. Used as a label to identify
+        tallies in OpenMC 'tallies.xml' file.
+
+    Attributes
+    ----------
+    name : str, optional
+        Name of the multi-group cross section
+    rxn_type : str
+        Reaction type (e.g., 'total', 'nu-fission', etc.)
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    domain : Material or Cell or Universe
+        Domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        Domain type for spatial homogenization
+    energy_groups : openmc.mgxs.EnergyGroups
+        Energy group structure for energy condensation
+    tally_trigger : openmc.Trigger
+        An (optional) tally precision trigger given to each tally used to
+        compute the cross section
+    scores : list of str
+        The scores in each tally used to compute the multi-group cross section
+    filters : list of openmc.Filter
+        The filters in each tally used to compute the multi-group cross section
+    tally_keys : list of str
+        The keys into the tallies dictionary for each tally used to compute
+        the multi-group cross section
+    estimator : {'tracklength', 'analog'}
+        The tally estimator used to compute the multi-group cross section
+    tallies : collections.OrderedDict
+        OpenMC tallies needed to compute the multi-group cross section. The keys
+        are strings listed in the :attr:`NuFissionMatrixXS.tally_keys`
+        property and values are instances of :class:`openmc.Tally`.
+    rxn_rate_tally : openmc.Tally
+        Derived tally for the reaction rate tally used in the numerator to
+        compute the multi-group cross section. This attribute is None
+        unless the multi-group cross section has been computed.
+    xs_tally : openmc.Tally
+        Derived tally for the multi-group cross section. This attribute
+        is None unless the multi-group cross section has been computed.
+    num_subdomains : int
+        The number of subdomains is unity for 'material', 'cell' and 'universe'
+        domain types. When the  This is equal to the number of cell instances
+        for 'distribcell' domain types (it is equal to unity prior to loading
+        tally data from a statepoint file).
+    num_nuclides : int
+        The number of nuclides for which the multi-group cross section is
+        being tracked. This is unity if the by_nuclide attribute is False.
+    nuclides : Iterable of str or 'sum'
+        The optional user-specified nuclides for which to compute cross
+        sections (e.g., 'U-238', 'O-16'). If by_nuclide is True but nuclides
+        are not specified by the user, all nuclides in the spatial domain
+        are included. This attribute is 'sum' if by_nuclide is false.
+    sparse : bool
+        Whether or not the MGXS' tallies use SciPy's LIL sparse matrix format
+        for compressed data storage
+    loaded_sp : bool
+        Whether or not a statepoint file has been loaded with tally data
+    derived : bool
+        Whether or not the MGXS is merged from one or more other MGXS
+    hdf5_key : str
+        The key used to index multi-group cross sections in an HDF5 data store
+
+    """
+
+    def __init__(self, domain=None, domain_type=None,
+                 groups=None, by_nuclide=False, name=''):
+        super(NuFissionMatrixXS, self).__init__(domain, domain_type,
+                                                groups, by_nuclide, name)
+        self._rxn_type = 'nu-fission'
+        self._hdf5_key = 'nu-fission matrix'
 
-        return self._tallies
 
 class Chi(MGXS):
-    """The fission spectrum."""
+    r"""The fission spectrum.
+
+    This class can be used for both OpenMC input generation and tally data
+    post-processing to compute spatially-homogenized and energy-integrated
+    multi-group cross sections for multi-group neutronics calculations. At a
+    minimum, one needs to set the :attr:`Chi.energy_groups` and
+    :attr:`Chi.domain` properties. Tallies for the flux and appropriate reaction
+    rates over the specified domain are generated automatically via the
+    :attr:`Chi.tallies` property, which can then be appended to a
+    :class:`openmc.Tallies` instance.
+
+    For post-processing, the :meth:`MGXS.load_from_statepoint` will pull in the
+    necessary data to compute multi-group cross sections from a
+    :class:`openmc.StatePoint` instance. The derived multi-group cross section
+    can then be obtained from the :attr:`Chi.xs_tally` property.
+
+    For a spatial domain :math:`V` and energy group :math:`[E_g,E_{g-1}]`, the
+    fission spectrum is calculated as:
+
+    .. math::
+
+       \langle \nu\sigma_{f,\rightarrow g} \phi \rangle &= \int_{r \in V} dr
+       \int_{4\pi} d\Omega' \int_0^\infty dE' \int_{E_g}^{E_{g-1}} dE \; \chi(E)
+       \nu\sigma_f (r, E') \psi(r, E', \Omega')\\
+       \langle \nu\sigma_f \phi \rangle &= \int_{r \in V} dr \int_{4\pi}
+       d\Omega' \int_0^\infty dE' \int_0^\infty dE \; \chi(E) \nu\sigma_f (r,
+       E') \psi(r, E', \Omega') \\
+       \chi_g &= \frac{\langle \nu\sigma_{f,\rightarrow g} \phi \rangle}{\langle
+       \nu\sigma_f \phi \rangle}
+
+    Parameters
+    ----------
+    domain : openmc.Material or openmc.Cell or openmc.Universe
+        The domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        The domain type for spatial homogenization
+    groups : openmc.mgxs.EnergyGroups
+        The energy group structure for energy condensation
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    name : str, optional
+        Name of the multi-group cross section. Used as a label to identify
+        tallies in OpenMC 'tallies.xml' file.
+
+    Attributes
+    ----------
+    name : str, optional
+        Name of the multi-group cross section
+    rxn_type : str
+        Reaction type (e.g., 'total', 'nu-fission', etc.)
+    by_nuclide : bool
+        If true, computes cross sections for each nuclide in domain
+    domain : Material or Cell or Universe
+        Domain for spatial homogenization
+    domain_type : {'material', 'cell', 'distribcell', 'universe'}
+        Domain type for spatial homogenization
+    energy_groups : openmc.mgxs.EnergyGroups
+        Energy group structure for energy condensation
+    tally_trigger : openmc.Trigger
+        An (optional) tally precision trigger given to each tally used to
+        compute the cross section
+    scores : list of str
+        The scores in each tally used to compute the multi-group cross section
+    filters : list of openmc.Filter
+        The filters in each tally used to compute the multi-group cross section
+    tally_keys : list of str
+        The keys into the tallies dictionary for each tally used to compute
+        the multi-group cross section
+    estimator : {'tracklength', 'analog'}
+        The tally estimator used to compute the multi-group cross section
+    tallies : collections.OrderedDict
+        OpenMC tallies needed to compute the multi-group cross section. The keys
+        are strings listed in the :attr:`Chi.tally_keys` property and values are
+        instances of :class:`openmc.Tally`.
+    rxn_rate_tally : openmc.Tally
+        Derived tally for the reaction rate tally used in the numerator to
+        compute the multi-group cross section. This attribute is None
+        unless the multi-group cross section has been computed.
+    xs_tally : openmc.Tally
+        Derived tally for the multi-group cross section. This attribute
+        is None unless the multi-group cross section has been computed.
+    num_subdomains : int
+        The number of subdomains is unity for 'material', 'cell' and 'universe'
+        domain types. When the  This is equal to the number of cell instances
+        for 'distribcell' domain types (it is equal to unity prior to loading
+        tally data from a statepoint file).
+    num_nuclides : int
+        The number of nuclides for which the multi-group cross section is
+        being tracked. This is unity if the by_nuclide attribute is False.
+    nuclides : Iterable of str or 'sum'
+        The optional user-specified nuclides for which to compute cross
+        sections (e.g., 'U-238', 'O-16'). If by_nuclide is True but nuclides
+        are not specified by the user, all nuclides in the spatial domain
+        are included. This attribute is 'sum' if by_nuclide is false.
+    sparse : bool
+        Whether or not the MGXS' tallies use SciPy's LIL sparse matrix format
+        for compressed data storage
+    loaded_sp : bool
+        Whether or not a statepoint file has been loaded with tally data
+    derived : bool
+        Whether or not the MGXS is merged from one or more other MGXS
+    hdf5_key : str
+        The key used to index multi-group cross sections in an HDF5 data store
+
+    """
 
     def __init__(self, domain=None, domain_type=None,
                  groups=None, by_nuclide=False, name=''):
@@ -2031,55 +4274,162 @@ class Chi(MGXS):
         self._rxn_type = 'chi'
 
     @property
-    def tallies(self):
-        """Construct the OpenMC tallies needed to compute this cross section.
+    def scores(self):
+        return ['nu-fission', 'nu-fission']
 
-        This method constructs two analog tallies to compute 'nu-fission'
-        reaction rates with 'energy' and 'energyout' filters in the spatial
-        domain and energy groups of interest.
+    @property
+    def filters(self):
+        # Create the non-domain specific Filters for the Tallies
+        group_edges = self.energy_groups.group_edges
+        energyout = openmc.Filter('energyout', group_edges)
+        energyin = openmc.Filter('energy', [group_edges[0], group_edges[-1]])
+        return [[energyin], [energyout]]
+
+    @property
+    def tally_keys(self):
+        return ['nu-fission-in', 'nu-fission-out']
+
+    @property
+    def estimator(self):
+        return 'analog'
+
+    @property
+    def rxn_rate_tally(self):
+        if self._rxn_rate_tally is None:
+            self._rxn_rate_tally = self.tallies['nu-fission-out']
+            self._rxn_rate_tally.sparse = self.sparse
+        return self._rxn_rate_tally
+
+    @property
+    def xs_tally(self):
+
+        if self._xs_tally is None:
+            nu_fission_in = self.tallies['nu-fission-in']
+
+            # Remove coarse energy filter to keep it out of tally arithmetic
+            energy_filter = nu_fission_in.find_filter('energy')
+            nu_fission_in.remove_filter(energy_filter)
+
+            # Compute chi
+            self._xs_tally = self.rxn_rate_tally / nu_fission_in
+            super(Chi, self)._compute_xs()
+
+            # Add the coarse energy filter back to the nu-fission tally
+            nu_fission_in.filters.append(energy_filter)
+
+        return self._xs_tally
+
+    def get_slice(self, nuclides=[], groups=[]):
+        """Build a sliced Chi for the specified nuclides and energy groups.
+
+        This method constructs a new MGXS to encapsulate a subset of the data
+        represented by this MGXS. The subset of data to include in the tally
+        slice is determined by the nuclides and energy groups specified in
+        the input parameters.
+
+        Parameters
+        ----------
+        nuclides : list of str
+            A list of nuclide name strings
+            (e.g., ['U-235', 'U-238']; default is [])
+        groups : list of Integral
+            A list of energy group indices starting at 1 for the high energies
+            (e.g., [1, 2, 3]; default is [])
+
+        Returns
+        -------
+        openmc.mgxs.MGXS
+            A new MGXS which encapsulates the subset of data requested
+            for the nuclide(s) and/or energy group(s) requested in the
+            parameters.
 
         """
 
-        # Instantiate tallies if they do not exist
-        if self._tallies is None:
-
-            # Create a list of scores for each Tally to be created
-            scores = ['nu-fission', 'nu-fission']
-            estimator = 'analog'
-            keys = ['nu-fission-in', 'nu-fission-out']
-
-            # Create the non-domain specific Filters for the Tallies
-            group_edges = self.energy_groups.group_edges
-            energyout = openmc.Filter('energyout', group_edges)
-            energyin = openmc.Filter('energy', [group_edges[0], group_edges[-1]])
-            filters = [[energyin], [energyout]]
-
-            # Intialize the Tallies
-            self._create_tallies(scores, filters, keys, estimator)
-
-        return self._tallies
-
-    def compute_xs(self):
-        """Computes chi fission spectrum using OpenMC tally arithmetic."""
-
-        # Retrieve the fission production tallies
+        # Temporarily remove energy filter from nu-fission-in since its
+        # group structure will work in super MGXS.get_slice(...) method
         nu_fission_in = self.tallies['nu-fission-in']
-        nu_fission_out = self.tallies['nu-fission-out']
-
-        # Remove coarse energy filter to keep it out of tally arithmetic
         energy_filter = nu_fission_in.find_filter('energy')
         nu_fission_in.remove_filter(energy_filter)
 
-        # Compute chi
-        self._xs_tally = nu_fission_out / nu_fission_in
+        # Call super class method and null out derived tallies
+        slice_xs = super(Chi, self).get_slice(nuclides, groups)
+        slice_xs._rxn_rate_tally = None
+        slice_xs._xs_tally = None
 
-        # Add the coarse energy filter back to the nu-fission tally
-        nu_fission_in.add_filter(energy_filter)
+        # Slice energy groups if needed
+        if len(groups) != 0:
+            filter_bins = []
+            for group in groups:
+                group_bounds = self.energy_groups.get_group_bounds(group)
+                filter_bins.append(group_bounds)
+            filter_bins = [tuple(filter_bins)]
 
-        super(Chi, self).compute_xs()
+            # Slice nu-fission-out tally along energyout filter
+            nu_fission_out = slice_xs.tallies['nu-fission-out']
+            tally_slice = nu_fission_out.get_slice(filters=['energyout'],
+                                                   filter_bins=filter_bins)
+            slice_xs._tallies['nu-fission-out'] = tally_slice
+
+        # Add energy filter back to nu-fission-in tallies
+        self.tallies['nu-fission-in'].add_filter(energy_filter)
+        slice_xs._tallies['nu-fission-in'].add_filter(energy_filter)
+
+        slice_xs.sparse = self.sparse
+        return slice_xs
+
+    def merge(self, other):
+        """Merge another Chi with this one
+
+        If results have been loaded from a statepoint, then Chi are only
+        mergeable along one and only one of energy groups or nuclides.
+
+        Parameters
+        ----------
+        other : openmc.mgxs.MGXS
+            MGXS to merge with this one
+
+        Returns
+        -------
+        merged_mgxs : openmc.mgxs.MGXS
+            Merged MGXS
+        """
+
+        if not self.can_merge(other):
+            raise ValueError('Unable to merge Chi')
+
+        # Create deep copy of tally to return as merged tally
+        merged_mgxs = copy.deepcopy(self)
+        merged_mgxs._derived = True
+        merged_mgxs._rxn_rate_tally = None
+        merged_mgxs._xs_tally = None
+
+        # Merge energy groups
+        if self.energy_groups != other.energy_groups:
+            merged_groups = self.energy_groups.merge(other.energy_groups)
+            merged_mgxs.energy_groups = merged_groups
+
+        # Merge nuclides
+        if self.nuclides != other.nuclides:
+
+            # The nuclides must be mutually exclusive
+            for nuclide in self.nuclides:
+                if nuclide in other.nuclides:
+                    msg = 'Unable to merge Chi with shared nuclides'
+                    raise ValueError(msg)
+
+            # Concatenate lists of nuclides for the merged MGXS
+            merged_mgxs.nuclides = self.nuclides + other.nuclides
+
+        # Merge tallies
+        for tally_key in self.tallies:
+            merged_tally = self.tallies[tally_key].merge(other.tallies[tally_key])
+            merged_mgxs.tallies[tally_key] = merged_tally
+
+        return merged_mgxs
 
     def get_xs(self, groups='all', subdomains='all', nuclides='all',
-               xs_type='macro', order_groups='increasing', value='mean'):
+               xs_type='macro', order_groups='increasing',
+               value='mean', **kwargs):
         """Returns an array of the fission spectrum.
 
         This method constructs a 2D NumPy array for the requested multi-group
@@ -2103,13 +4453,12 @@ class Chi(MGXS):
             Return the cross section indexed according to increasing or
             decreasing energy groups (decreasing or increasing energies).
             Defaults to 'increasing'.
-        value : str
-            A string for the type of value to return - 'mean', 'std_dev', or
-            'rel_err' are accepted. Defaults to 'mean'.
+        value : {'mean', 'std_dev', 'rel_err'}
+            A string for the type of value to return. Defaults to 'mean'.
 
         Returns
         -------
-        ndarray
+        numpy.ndarray
             A NumPy array of the multi-group cross section indexed in the order
             each group, subdomain and nuclide is listed in the parameters.
 
@@ -2121,10 +4470,6 @@ class Chi(MGXS):
 
         """
 
-        if self.xs_tally is None:
-            msg = 'Unable to get cross section since it has not been computed'
-            raise ValueError(msg)
-
         cv.check_value('value', value, ['mean', 'std_dev', 'rel_err'])
         cv.check_value('xs_type', xs_type, ['macro', 'micro'])
 
@@ -2132,14 +4477,14 @@ class Chi(MGXS):
         filter_bins = []
 
         # Construct a collection of the domain filter bins
-        if subdomains != 'all':
-            cv.check_iterable_type('subdomains', subdomains, Integral)
+        if not isinstance(subdomains, basestring):
+            cv.check_iterable_type('subdomains', subdomains, Integral, max_depth=2)
             for subdomain in subdomains:
                 filters.append(self.domain_type)
                 filter_bins.append((subdomain,))
 
         # Construct list of energy group bounds tuples for all requested groups
-        if groups != 'all':
+        if not isinstance(groups, basestring):
             cv.check_iterable_type('groups', groups, Integral)
             for group in groups:
                 filters.append('energyout')
@@ -2170,7 +4515,7 @@ class Chi(MGXS):
                 xs_tally = nu_fission_out / nu_fission_in
 
                 # Add the coarse energy filter back to the nu-fission tally
-                nu_fission_in.add_filter(energy_filter)
+                nu_fission_in.filters.append(energy_filter)
 
                 xs = xs_tally.get_values(filters=filters,
                                          filter_bins=filter_bins, value=value)
@@ -2218,10 +4563,10 @@ class Chi(MGXS):
         return xs
 
     def get_pandas_dataframe(self, groups='all', nuclides='all',
-                             xs_type='macro', summary=None):
+                             xs_type='macro', distribcell_paths=False):
         """Build a Pandas DataFrame for the MGXS data.
 
-        This method leverages the Tally.get_pandas_dataframe(...) method, but
+        This method leverages :meth:`openmc.Tally.get_pandas_dataframe`, but
         renames the columns with terminology appropriate for cross section data.
 
         Parameters
@@ -2238,12 +4583,11 @@ class Chi(MGXS):
         xs_type: {'macro', 'micro'}
             Return macro or micro cross section in units of cm^-1 or barns.
             Defaults to 'macro'.
-        summary : None or Summary
-            An optional Summary object to be used to construct columns for
-            distribcell tally filters (default is None). The geometric
-            information in the Summary object is embedded into a multi-index
-            column with a geometric "path" to each distribcell intance.
-            NOTE: This option requires the OpenCG Python package.
+        distribcell_paths : bool, optional
+            Construct columns for distribcell tally filters (default is True).
+            The geometric information in the Summary object is embedded into
+            a Multi-index column with a geometric "path" to each distribcell
+            instance.
 
         Returns
         -------
@@ -2259,8 +4603,8 @@ class Chi(MGXS):
         """
 
         # Build the dataframe using the parent class method
-        df = super(Chi, self).get_pandas_dataframe(groups, nuclides,
-                                                   xs_type, summary)
+        df = super(Chi, self).get_pandas_dataframe(
+            groups, nuclides, xs_type, distribcell_paths=distribcell_paths)
 
         # If user requested micro cross sections, multiply by the atom
         # densities to cancel out division made by the parent class method
diff --git a/openmc/mgxs_library.py b/openmc/mgxs_library.py
new file mode 100644
index 0000000000..8a572c8748
--- /dev/null
+++ b/openmc/mgxs_library.py
@@ -0,0 +1,1198 @@
+from collections import Iterable
+from numbers import Real, Integral
+from xml.etree import ElementTree as ET
+import sys
+
+import numpy as np
+
+import openmc
+import openmc.mgxs
+from openmc.checkvalue import check_type, check_value, check_greater_than, \
+    check_iterable_type
+from openmc.clean_xml import sort_xml_elements, clean_xml_indentation
+
+if sys.version_info[0] >= 3:
+    basestring = str
+
+# Supported incoming particle MGXS angular treatment representations
+_REPRESENTATIONS = ['isotropic', 'angle']
+
+
+def ndarray_to_string(arr):
+    """Converts a numpy ndarray in to a join with spaces between entries
+    similar to ' '.join(map(str,arr)) but applied to all sub-dimensions.
+
+    Parameters
+    ----------
+    arr : numpy.ndarray
+        Array to combine in to a string
+
+    Returns
+    -------
+    text : str
+        String representation of array in arr
+
+    """
+
+    shape = arr.shape
+    ndim = arr.ndim
+    tab = '    '
+    indent = '\n' + tab + tab
+    text = indent
+
+    if ndim == 1:
+        text += tab
+        for i in range(shape[0]):
+            text += '{:.7E} '.format(arr[i])
+        text += indent
+    elif ndim == 2:
+        for i in range(shape[0]):
+            text += tab
+            for j in range(shape[1]):
+                text += '{:.7E} '.format(arr[i, j])
+            text += indent
+    elif ndim == 3:
+        for i in range(shape[0]):
+            for j in range(shape[1]):
+                text += tab
+                for k in range(shape[2]):
+                    text += '{:.7E} '.format(arr[i, j, k])
+                text += indent
+    elif ndim == 4:
+        for i in range(shape[0]):
+            for j in range(shape[1]):
+                for k in range(shape[2]):
+                    text += tab
+                    for l in range(shape[3]):
+                        text += '{:.7E} '.format(arr[i, j, k, l])
+                    text += indent
+    elif ndim == 5:
+        for i in range(shape[0]):
+            for j in range(shape[1]):
+                for k in range(shape[2]):
+                    for l in range(shape[3]):
+                        text += tab
+                        for m in range(shape[4]):
+                            text += '{:.7E} '.format(arr[i, j, k, l, m])
+                        text += indent
+
+    return text
+
+
+class XSdata(object):
+    """A multi-group cross section data set providing all the
+    multi-group data necessary for a multi-group OpenMC calculation.
+
+    Parameters
+    ----------
+    name : str, optional
+        Name of the mgxs data set.
+    energy_groups : openmc.mgxs.EnergyGroups
+        Energygroup structure
+    representation : {'isotropic', 'angle'}, optional
+        Method used in generating the MGXS (isotropic or angle-dependent flux
+        weighting). Defaults to 'isotropic'
+
+    Attributes
+    ----------
+    name : str
+        Unique identifier for the xsdata object
+    alias : str
+        Separate unique identifier for the xsdata object
+    zaid : int
+        1000*(atomic number) + mass number. As an example, the zaid of U-235
+        would be 92235.
+    awr : float
+        Atomic weight ratio of an isotope.  That is, the ratio of the mass
+        of the isotope to the mass of a single neutron.
+    kT : float
+        Temperature (in units of MeV).
+    energy_groups : openmc.mgxs.EnergyGroups
+        Energy group structure
+    fissionable : bool
+        Whether or not this is a fissionable data set.
+    scatt_type : {'legendre', 'histogram', or 'tabular'}
+        Angular distribution representation (legendre, histogram, or tabular)
+    order : int
+        Either the Legendre order, number of bins, or number of points used to
+        describe the angular distribution associated with each group-to-group
+        transfer probability.
+    tabular_legendre : dict
+        Set how to treat the Legendre scattering kernel (tabular or leave in
+        Legendre polynomial form). Dict contains two keys: 'enable' and
+        'num_points'.  'enable' is a boolean and 'num_points' is the
+        number of points to use, if 'enable' is True.
+    representation : {'isotropic', 'angle'}
+        Method used in generating the MGXS (isotropic or angle-dependent flux
+        weighting).
+    num_azimuthal : int
+        Number of equal width angular bins that the azimuthal angular domain is
+        subdivided into. This only applies when ``representation`` is "angle".
+    num_polar : int
+        Number of equal width angular bins that the polar angular domain is
+        subdivided into. This only applies when ``representation`` is "angle".
+    use_chi : bool
+        Whether or not a chi vector or nu-fission matrix was used.
+    vector_shape : iterable of int
+        Dimensionality of vector multi-group cross sections (e.g., the total
+        cross section).  The return result depends on the value of
+        ``representation``.
+    matrix_shape : iterable of int
+        Dimensionality of matrix multi-group cross sections (e.g., the
+        fission matrix cross section).  The return result depends on the
+        value of ``representation``.
+    pn_matrix_shape : iterable of int
+        Dimensionality of scattering matrix data (e.g., the
+        scattering matrix cross section).  The return result depends on the
+        value of ``representation``.
+    total : numpy.ndarray
+        Group-wise total cross section ordered by increasing group index (i.e.,
+        fast to thermal). If ``representation`` is "isotropic", then the length
+        of this list should equal the number of groups described in the
+        ``groups`` element.  If ``representation`` is "angle", then the length
+        of this list should equal the number of groups times the number of
+        azimuthal angles times the number of polar angles, with the
+        inner-dimension being groups, intermediate-dimension being azimuthal
+        angles and outer-dimension being the polar angles.
+    absorption : numpy.ndarray
+        Group-wise absorption cross section ordered by increasing group index
+        (i.e., fast to thermal). If ``representation`` is "isotropic", then the
+        length of this list should equal the number of groups described in the
+        ``groups`` attribute. If ``representation`` is "angle", then the length
+        of this list should equal the number of groups times the number of
+        azimuthal angles times the number of polar angles, with the
+        inner-dimension being groups, intermediate-dimension being azimuthal
+        angles and outer-dimension being the polar angles.
+    scatter : numpy.ndarray
+        Scattering moment matrices presented with the columns representing
+        incoming group and rows representing the outgoing group.  That is,
+        down-scatter will be above the diagonal of the resultant matrix.  This
+        matrix is repeated for every Legendre order (in order of increasing
+        orders) if ``scatt_type`` is "legendre"; otherwise, this matrix is
+        repeated for every bin of the histogram or tabular representation.
+        Finally, if ``representation`` is "angle", the above is repeated for
+        every azimuthal angle and every polar angle, in that order.
+    multiplicity : numpy.ndarray
+        Ratio of neutrons produced in scattering collisions to the neutrons
+        which undergo scattering collisions; that is, the multiplicity provides
+        the code with a scaling factor to account for neutrons produced in
+        (n,xn) reactions.  This information is assumed isotropic and therefore
+        does not need to be repeated for every Legendre moment or
+        histogram/tabular bin.  This matrix follows the same arrangement as
+        described for the ``scatter`` attribute, with the exception of the data
+        needed to provide the scattering type information.
+    fission : numpy.ndarray
+        Group-wise fission cross section ordered by increasing group index
+        (i.e., fast to thermal). If ``representation`` is "isotropic", then the
+        length of this list should equal the number of groups described in the
+        ``groups`` attribute. If ``representation`` is "angle", then the length
+        of this list should equal the number of groups times the number of
+        azimuthal angles times the number of polar angles, with the
+        inner-dimension being groups, intermediate-dimension being azimuthal
+        angles and outer-dimension being the polar angles.
+    kappa_fission : numpy.ndarray
+        Group-wise kappa-fission cross section ordered by increasing group
+        index (i.e., fast to thermal).  If ``representation`` is "isotropic",
+        then the length of this list should equal the number of groups in the
+        ``groups`` attribute. If ``representation`` is "angle", then the length
+        of this list should equal the number of groups times the number of
+        azimuthal angles times the number of polar angles, with the
+        inner-dimension being groups, intermediate-dimension being azimuthal
+        angles and outer-dimension being the polar angles.
+    chi : numpy.ndarray
+        Group-wise fission spectra ordered by increasing group index (i.e.,
+        fast to thermal).  This attribute should be used if making the common
+        approximation that the fission spectra does not depend on incoming
+        energy.  If the user does not wish to make this approximation, then
+        this should not be provided and this information included in the
+        ``nu_fission`` element instead.  If ``representation`` is "isotropic",
+        then the length of this list should equal the number of groups
+        in the ``groups`` element.  If ``representation`` is "angle", then the
+        length of this list should equal the number of groups times the number
+        of azimuthal angles times the number of polar angles, with the
+        inner-dimension being groups, intermediate-dimension being azimuthal
+        angles and outer-dimension being the polar angles.
+    nu_fission : numpy.ndarray
+        Group-wise fission production cross section vector (i.e., if ``chi`` is
+        provided), or is the group-wise fission production matrix. If providing
+        the vector, it should be ordered the same as the ``fission`` data.  If
+        providing the matrix, it should be ordered the same as the
+        ``multiplicity`` matrix.
+
+    """
+
+    def __init__(self, name, energy_groups, representation='isotropic'):
+        # Initialize class attributes
+        self._name = name
+        self._energy_groups = energy_groups
+        self._representation = representation
+        self._alias = None
+        self._zaid = None
+        self._awr = None
+        self._kT = None
+        self._fissionable = False
+        self._scatt_type = 'legendre'
+        self._order = None
+        self._tabular_legendre = None
+        self._num_polar = None
+        self._num_azimuthal = None
+        self._total = None
+        self._absorption = None
+        self._scatter = None
+        self._multiplicity = None
+        self._fission = None
+        self._nu_fission = None
+        self._kappa_fission = None
+        self._chi = None
+        self._use_chi = None
+
+    @property
+    def name(self):
+        return self._name
+
+    @property
+    def energy_groups(self):
+        return self._energy_groups
+
+    @property
+    def representation(self):
+        return self._representation
+
+    @property
+    def alias(self):
+        return self._alias
+
+    @property
+    def zaid(self):
+        return self._zaid
+
+    @property
+    def awr(self):
+        return self._awr
+
+    @property
+    def kT(self):
+        return self._kT
+
+    @property
+    def scatt_type(self):
+        return self._scatt_type
+
+    @property
+    def order(self):
+        return self._order
+
+    @property
+    def tabular_legendre(self):
+        return self._tabular_legendre
+
+    @property
+    def num_polar(self):
+        return self._num_polar
+
+    @property
+    def num_azimuthal(self):
+        return self._num_azimuthal
+
+    @property
+    def use_chi(self):
+        return self._use_chi
+
+    @property
+    def total(self):
+        return self._total
+
+    @property
+    def absorption(self):
+        return self._absorption
+
+    @property
+    def scatter(self):
+        return self._scatter
+
+    @property
+    def multiplicity(self):
+        return self._multiplicity
+
+    @property
+    def fission(self):
+        return self._fission
+
+    @property
+    def nu_fission(self):
+        return self._nu_fission
+
+    @property
+    def kappa_fission(self):
+        return self._kappa_fission
+
+    @property
+    def chi(self):
+        return self._chi
+
+    @property
+    def num_orders(self):
+        if (self._order is not None) and (self._scatt_type is not None):
+            if self._scatt_type is 'legendre':
+                return self._order + 1
+            else:
+                return self._order
+
+    @property
+    def vector_shape(self):
+        if self.representation is 'isotropic':
+            return (self.energy_groups.num_groups,)
+        elif self.representation is 'angle':
+            return (self.num_polar, self.num_azimuthal,
+                    self.energy_groups.num_groups)
+
+    @property
+    def matrix_shape(self):
+        if self.representation is 'isotropic':
+            return (self.energy_groups.num_groups,
+                    self.energy_groups.num_groups)
+        elif self.representation is 'angle':
+            return (self.num_polar, self.num_azimuthal,
+                    self.energy_groups.num_groups,
+                    self.energy_groups.num_groups)
+
+    @property
+    def pn_matrix_shape(self):
+        if self.representation is 'isotropic':
+            return (self.num_orders, self.energy_groups.num_groups,
+                    self.energy_groups.num_groups)
+        elif self.representation is 'angle':
+            return (self.num_polar, self.num_azimuthal, self.num_orders,
+                    self.energy_groups.num_groups,
+                    self.energy_groups.num_groups)
+
+    @name.setter
+    def name(self, name):
+        check_type('name for XSdata', name, basestring)
+        self._name = name
+
+    @energy_groups.setter
+    def energy_groups(self, energy_groups):
+        # Check validity of energy_groups
+        check_type('energy_groups', energy_groups, openmc.mgxs.EnergyGroups)
+
+        if energy_groups.group_edges is None:
+            msg = 'Unable to assign an EnergyGroups object ' \
+                  'with uninitialized group edges'
+            raise ValueError(msg)
+        self._energy_groups = energy_groups
+
+    @representation.setter
+    def representation(self, representation):
+        # Check it is of valid type.
+        check_value('representation', representation, _REPRESENTATIONS)
+        self._representation = representation
+
+    @alias.setter
+    def alias(self, alias):
+        if alias is not None:
+            check_type('alias', alias, basestring)
+            self._alias = alias
+        else:
+            self._alias = self._name
+
+    @zaid.setter
+    def zaid(self, zaid):
+        # Check type and value
+        check_type('zaid', zaid, Integral)
+        check_greater_than('zaid', zaid, 0)
+        self._zaid = zaid
+
+    @awr.setter
+    def awr(self, awr):
+        # Check validity of type and that the awr value is > 0
+        check_type('awr', awr, Real)
+        check_greater_than('awr', awr, 0.0)
+        self._awr = awr
+
+    @kT.setter
+    def kT(self, kT):
+        # Check validity of type and that the kT value is >= 0
+        check_type('kT', kT, Real)
+        check_greater_than('kT', kT, 0.0, equality=True)
+        self._kT = kT
+
+    @scatt_type.setter
+    def scatt_type(self, scatt_type):
+        # check to see it is of a valid type and value
+        check_value('scatt_type', scatt_type, ['legendre', 'histogram',
+                                               'tabular'])
+        self._scatt_type = scatt_type
+
+    @order.setter
+    def order(self, order):
+        # Check type and value
+        check_type('order', order, Integral)
+        check_greater_than('order', order, 0, equality=True)
+        self._order = order
+
+    @tabular_legendre.setter
+    def tabular_legendre(self, tabular_legendre):
+        # Check to make sure this is a dict and it has our keys with the
+        # right values.
+        check_type('tabular_legendre', tabular_legendre, dict)
+        if 'enable' in tabular_legendre:
+            enable = tabular_legendre['enable']
+            check_type('enable', enable, bool)
+        else:
+            msg = 'The tabular_legendre dict must include a value keyed by ' \
+                  '"enable"'
+            raise ValueError(msg)
+        if 'num_points' in tabular_legendre:
+            num_points = tabular_legendre['num_points']
+            check_type('num_points', num_points, Integral)
+            check_greater_than('num_points', num_points, 0)
+        else:
+            if not enable:
+                num_points = 1
+            else:
+                num_points = 33
+        self._tabular_legendre = {'enable': enable, 'num_points': num_points}
+
+    @num_polar.setter
+    def num_polar(self, num_polar):
+        # Make sure we have positive ints
+        check_value('num_polar', num_polar, Integral)
+        check_greater_than('num_polar', num_polar, 0)
+        self._num_polar = num_polar
+
+    @num_azimuthal.setter
+    def num_azimuthal(self, num_azimuthal):
+        check_value('num_azimuthal', num_azimuthal, Integral)
+        check_greater_than('num_azimuthal', num_azimuthal, 0)
+        self._num_azimuthal = num_azimuthal
+
+    @use_chi.setter
+    def use_chi(self, use_chi):
+        check_type('use_chi', use_chi, bool)
+        self._use_chi = use_chi
+
+    @total.setter
+    def total(self, total):
+        check_type('total', total, Iterable, expected_iter_type=Real)
+        # Convert to a numpy array so we can easily get the shape for
+        # checking
+        nptotal = np.asarray(total)
+        check_value('total shape', nptotal.shape, [self.vector_shape])
+
+        self._total = nptotal
+
+    @absorption.setter
+    def absorption(self, absorption):
+        check_type('absorption', absorption, Iterable, expected_iter_type=Real)
+        # Convert to a numpy array so we can easily get the shape for
+        # checking
+        npabsorption = np.asarray(absorption)
+        check_value('absorption shape', npabsorption.shape,
+                    [self.vector_shape])
+
+        self._absorption = npabsorption
+
+    @fission.setter
+    def fission(self, fission):
+        check_type('fission', fission, Iterable, expected_iter_type=Real)
+        # Convert to a numpy array so we can easily get the shape for
+        # checking
+        npfission = np.asarray(fission)
+        check_value('fission shape', npfission.shape, [self.vector_shape])
+
+        self._fission = npfission
+
+        if np.sum(self._fission) > 0.0:
+            self._fissionable = True
+
+    @kappa_fission.setter
+    def kappa_fission(self, kappa_fission):
+        check_type('kappa_fission', kappa_fission, Iterable,
+                   expected_iter_type=Real)
+        # Convert to a numpy array so we can easily get the shape for
+        # checking
+        npkappa_fission = np.asarray(kappa_fission)
+        check_value('kappa fission shape', npkappa_fission.shape,
+                    [self.vector_shape])
+
+        self._kappa_fission = npkappa_fission
+
+        if np.sum(self._kappa_fission) > 0.0:
+            self._fissionable = True
+
+    @chi.setter
+    def chi(self, chi):
+        if self.use_chi is not None:
+            if not self.use_chi:
+                msg = 'Providing "chi" when "nu-fission" already provided as a' \
+                      'matrix'
+                raise ValueError(msg)
+
+        check_type('chi', chi, Iterable, expected_iter_type=Real)
+        # Convert to a numpy array so we can easily get the shape for
+        # checking
+        npchi = np.asarray(chi)
+        # Check the shape
+        if npchi.shape != self.vector_shape:
+            msg = 'Provided chi iterable does not have the expected shape.'
+            raise ValueError(msg)
+
+        self._chi = npchi
+
+        if self.use_chi is not None:
+            self.use_chi = True
+
+    @scatter.setter
+    def scatter(self, scatter):
+        # Convert to a numpy array so we can easily get the shape for
+        # checking
+        npscatter = np.asarray(scatter)
+        check_iterable_type('scatter', npscatter, Real,
+                            max_depth=len(npscatter.shape))
+        check_value('scatter shape', npscatter.shape, [self.pn_matrix_shape])
+
+        self._scatter = npscatter
+
+    @multiplicity.setter
+    def multiplicity(self, multiplicity):
+        # Convert to a numpy array so we can easily get the shape for
+        # checking
+        npmultiplicity = np.asarray(multiplicity)
+        check_iterable_type('multiplicity', npmultiplicity, Real,
+                            max_depth=len(npmultiplicity.shape))
+        check_value('multiplicity shape', npmultiplicity.shape,
+                    [self.matrix_shape])
+
+        self._multiplicity = npmultiplicity
+
+    @nu_fission.setter
+    def nu_fission(self, nu_fission):
+        # The NuFissionXS class does not have the capability to produce
+        # a fission matrix and therefore if this path is pursued, we know
+        # chi must be used.
+        # nu_fission can be given as a vector or a matrix
+        # Vector is used when chi also exists.
+        # Matrix is used when chi does not exist.
+        # We have to check that the correct form is given, but only if
+        # chi already has been set.  If not, we just check that this is OK
+        # and set the use_chi flag accordingly
+
+        # Convert to a numpy array so we can easily get the shape for
+        # checking
+        npnu_fission = np.asarray(nu_fission)
+
+        check_iterable_type('nu_fission', npnu_fission, Real,
+                            max_depth=len(npnu_fission.shape))
+
+        if self.use_chi is not None:
+            if self.use_chi:
+                check_value('nu_fission shape', npnu_fission.shape,
+                            [self.vector_shape])
+            else:
+                check_value('nu_fission shape', npnu_fission.shape,
+                            [self.matrix_shape])
+        else:
+            check_value('nu_fission shape', npnu_fission.shape,
+                        [self.vector_shape, self.matrix_shape])
+            # Find out if we have a nu-fission matrix or vector
+            # and set a flag to allow other methods to check this later.
+            self.use_chi = (npnu_fission.shape == self.vector_shape)
+
+        self._nu_fission = npnu_fission
+        if np.sum(self._nu_fission) > 0.0:
+            self._fissionable = True
+
+    def set_total_mgxs(self, total, nuclide='total', xs_type='macro'):
+        """This method allows for an openmc.mgxs.TotalXS or
+        openmc.mgxs.TransportXS to be used to set the total cross section
+        for this XSdata object.
+
+        Parameters
+        ----------
+        total: openmc.mgxs.TotalXS or openmc.mgxs.TransportXS
+            MGXS Object containing the total or transport cross section
+            for the domain of interest.
+        nuclide : str
+            Individual nuclide (or 'total' if obtaining material-wise data)
+            to gather data for.  Defaults to 'total'.
+        xs_type: {'macro', 'micro'}
+            Provide the macro or micro cross section in units of cm^-1 or
+            barns. Defaults to 'macro'.
+
+        See also
+        --------
+        openmc.mgxs.Library.create_mg_library()
+        openmc.mgxs.Library.get_xsdata
+
+        """
+
+        check_type('total', total, (openmc.mgxs.TotalXS,
+                                    openmc.mgxs.TransportXS))
+        check_value('energy_groups', total.energy_groups, [self.energy_groups])
+        check_value('domain_type', total.domain_type,
+                    ['universe', 'cell', 'material'])
+
+        if self.representation is 'isotropic':
+            self._total = total.get_xs(nuclides=nuclide, xs_type=xs_type)
+        elif self.representation is 'angle':
+            msg = 'Angular-Dependent MGXS have not yet been implemented'
+            raise ValueError(msg)
+
+    def set_absorption_mgxs(self, absorption, nuclide='total',
+                            xs_type='macro'):
+        """This method allows for an openmc.mgxs.AbsorptionXS
+        to be used to set the absorption cross section for this XSdata object.
+
+        Parameters
+        ----------
+        absorption: openmc.mgxs.AbsorptionXS
+            MGXS Object containing the absorption cross section
+            for the domain of interest.
+        nuclide : str
+            Individual nuclide (or 'total' if obtaining material-wise data)
+            to gather data for.  Defaults to 'total'.
+        xs_type: {'macro', 'micro'}
+            Provide the macro or micro cross section in units of cm^-1 or
+            barns. Defaults to 'macro'.
+
+        See also
+        --------
+        openmc.mgxs.Library.create_mg_library()
+        openmc.mgxs.Library.get_xsdata
+
+        """
+
+        check_type('absorption', absorption, openmc.mgxs.AbsorptionXS)
+        check_value('energy_groups', absorption.energy_groups,
+                    [self.energy_groups])
+        check_value('domain_type', absorption.domain_type,
+                    ['universe', 'cell', 'material'])
+
+        if self.representation is 'isotropic':
+            self._absorption = absorption.get_xs(nuclides=nuclide,
+                                                 xs_type=xs_type)
+        elif self.representation is 'angle':
+            msg = 'Angular-Dependent MGXS have not yet been implemented'
+            raise ValueError(msg)
+
+    def set_fission_mgxs(self, fission, nuclide='total', xs_type='macro'):
+        """This method allows for an openmc.mgxs.FissionXS
+        to be used to set the fission cross section for this XSdata object.
+
+        Parameters
+        ----------
+        fission: openmc.mgxs.FissionXS
+            MGXS Object containing the fission cross section
+            for the domain of interest.
+        nuclide : str
+            Individual nuclide (or 'total' if obtaining material-wise data)
+            to gather data for.  Defaults to 'total'.
+        xs_type: {'macro', 'micro'}
+            Provide the macro or micro cross section in units of cm^-1 or
+            barns. Defaults to 'macro'.
+
+        See also
+        --------
+        openmc.mgxs.Library.create_mg_library()
+        openmc.mgxs.Library.get_xsdata
+
+        """
+
+        check_type('fission', fission, openmc.mgxs.FissionXS)
+        check_value('energy_groups', fission.energy_groups,
+                    [self.energy_groups])
+        check_value('domain_type', fission.domain_type,
+                    ['universe', 'cell', 'material'])
+
+        if self.representation is 'isotropic':
+            self._fission = fission.get_xs(nuclides=nuclide,
+                                           xs_type=xs_type)
+        elif self.representation is 'angle':
+            msg = 'Angular-Dependent MGXS have not yet been implemented'
+            raise ValueError(msg)
+
+    def set_nu_fission_mgxs(self, nu_fission, nuclide='total',
+                            xs_type='macro'):
+        """This method allows for an openmc.mgxs.NuFissionXS
+        to be used to set the nu-fission cross section for this XSdata object.
+
+        Parameters
+        ----------
+        nu_fission: openmc.mgxs.NuFissionXS
+            MGXS Object containing the nu-fission cross section
+            for the domain of interest.
+        nuclide : str
+            Individual nuclide (or 'total' if obtaining material-wise data)
+            to gather data for.  Defaults to 'total'.
+        xs_type: {'macro', 'micro'}
+            Provide the macro or micro cross section in units of cm^-1 or
+            barns. Defaults to 'macro'.
+
+        See also
+        --------
+        openmc.mgxs.Library.create_mg_library()
+        openmc.mgxs.Library.get_xsdata
+
+        """
+
+        check_type('nu_fission', nu_fission, (openmc.mgxs.NuFissionXS,
+                                              openmc.mgxs.NuFissionMatrixXS))
+        check_value('energy_groups', nu_fission.energy_groups,
+                    [self.energy_groups])
+        check_value('domain_type', nu_fission.domain_type,
+                    ['universe', 'cell', 'material'])
+
+        if self.representation is 'isotropic':
+            self._nu_fission = nu_fission.get_xs(nuclides=nuclide,
+                                                 xs_type=xs_type)
+        elif self.representation is 'angle':
+            msg = 'Angular-Dependent MGXS have not yet been implemented'
+            raise ValueError(msg)
+
+        if isinstance(nu_fission, openmc.mgxs.NuFissionMatrixXS):
+            self.use_chi = False
+        else:
+            self.use_chi = True
+
+        if np.sum(self._nu_fission) > 0.0:
+            self._fissionable = True
+
+    def set_kappa_fission_mgxs(self, k_fission, nuclide='total',
+                               xs_type='macro'):
+        """This method allows for an openmc.mgxs.KappaFissionXS
+        to be used to set the kappa-fission cross section for this XSdata
+        object.
+
+        Parameters
+        ----------
+        kappa_fission: openmc.mgxs.KappaFissionXS
+            MGXS Object containing the kappa-fission cross section
+            for the domain of interest.
+        nuclide : str
+            Individual nuclide (or 'total' if obtaining material-wise data)
+            to gather data for.  Defaults to 'total'.
+        xs_type: {'macro', 'micro'}
+            Provide the macro or micro cross section in units of cm^-1 or
+            barns. Defaults to 'macro'.
+
+        See also
+        --------
+        openmc.mgxs.Library.create_mg_library()
+        openmc.mgxs.Library.get_xsdata
+
+        """
+
+        check_type('k_fission', k_fission, openmc.mgxs.KappaFissionXS)
+        check_value('energy_groups', k_fission.energy_groups,
+                    [self.energy_groups])
+        check_value('domain_type', k_fission.domain_type,
+                    ['universe', 'cell', 'material'])
+
+        if self.representation is 'isotropic':
+            self._kappa_fission = k_fission.get_xs(nuclides=nuclide,
+                                                   xs_type=xs_type)
+        elif self.representation is 'angle':
+            msg = 'Angular-Dependent MGXS have not yet been implemented'
+            raise ValueError(msg)
+
+    def set_chi_mgxs(self, chi, nuclide='total', xs_type='macro'):
+        """This method allows for an openmc.mgxs.Chi
+        to be used to set chi for this XSdata object.
+
+        Parameters
+        ----------
+        chi: openmc.mgxs.Chi
+            MGXS Object containing chi for the domain of interest.
+        nuclide : str
+            Individual nuclide (or 'total' if obtaining material-wise data)
+            to gather data for.  Defaults to 'total'.
+        xs_type: {'macro', 'micro'}
+            Provide the macro or micro cross section in units of cm^-1 or
+            barns. Defaults to 'macro'.
+
+        See also
+        --------
+        openmc.mgxs.Library.create_mg_library()
+        openmc.mgxs.Library.get_xsdata
+
+        """
+
+        if self.use_chi is not None:
+            if not self.use_chi:
+                msg = 'Providing chi when nu_fission already provided as a ' \
+                      'matrix!'
+                raise ValueError(msg)
+
+        check_type('chi', chi, openmc.mgxs.Chi)
+        check_value('energy_groups', chi.energy_groups, [self.energy_groups])
+        check_value('domain_type', chi.domain_type,
+                    ['universe', 'cell', 'material'])
+
+        if self.representation is 'isotropic':
+            self._chi = chi.get_xs(nuclides=nuclide,
+                                   xs_type=xs_type)
+        elif self.representation is 'angle':
+            msg = 'Angular-Dependent MGXS have not yet been implemented'
+            raise ValueError(msg)
+
+        if self.use_chi is not None:
+            self.use_chi = True
+
+    def set_scatter_mgxs(self, scatter, nuclide='total', xs_type='macro'):
+        """This method allows for an openmc.mgxs.ScatterMatrixXS
+        to be used to set the scatter matrix cross section for this XSdata
+        object.  If the XSdata.order attribute has not yet been set, then
+        it will be set based on the properties of scatter.
+
+        Parameters
+        ----------
+        scatter: openmc.mgxs.ScatterMatrixXS
+            MGXS Object containing the scatter matrix cross section
+            for the domain of interest.
+        nuclide : str
+            Individual nuclide (or 'total' if obtaining material-wise data)
+            to gather data for.  Defaults to 'total'.
+        xs_type: {'macro', 'micro'}
+            Provide the macro or micro cross section in units of cm^-1 or
+            barns. Defaults to 'macro'.
+
+        See also
+        --------
+        openmc.mgxs.Library.create_mg_library()
+        openmc.mgxs.Library.get_xsdata
+
+        """
+
+        check_type('scatter', scatter, openmc.mgxs.ScatterMatrixXS)
+        check_value('energy_groups', scatter.energy_groups,
+                    [self.energy_groups])
+        check_value('domain_type', scatter.domain_type,
+                    ['universe', 'cell', 'material'])
+
+        if self.scatt_type != 'legendre':
+            msg = 'Anisotropic scattering representations other than ' \
+                  'Legendre expansions have not yet been implemented in ' \
+                  'openmc.mgxs.'
+            raise ValueError(msg)
+
+        # If the user has not defined XSdata.order, then we will set
+        # the order based on the data within scatter.
+        # Otherwise, we will check to see that XSdata.order to match
+        # the order of scatter
+        if self.order is None:
+            self.order = scatter.legendre_order
+        else:
+            check_value('legendre_order', scatter.legendre_order,
+                        [self.order])
+
+        if self.representation is 'isotropic':
+            # Get the scattering orders in the outermost dimension
+            self._scatter = np.zeros((self.num_orders,
+                                      self.energy_groups.num_groups,
+                                      self.energy_groups.num_groups))
+            for moment in range(self.num_orders):
+                self._scatter[moment, :, :] = scatter.get_xs(nuclides=nuclide,
+                                                             xs_type=xs_type,
+                                                             moment=moment)
+
+        elif self.representation is 'angle':
+            msg = 'Angular-Dependent MGXS have not yet been implemented'
+            raise ValueError(msg)
+
+    def set_multiplicity_mgxs(self, nuscatter, scatter=None, nuclide='total',
+                              xs_type='macro'):
+        """This method allows for either the direct use of only an
+        openmc.mgxs.MultiplicityMatrixXS OR an openmc.mgxs.NuScatterMatrixXS and
+        openmc.mgxs.ScatterMatrixXS to be used to set the scattering
+        multiplicity for this XSdata object. Multiplicity,
+        in OpenMC parlance, is a factor used to account for the production
+        of neutrons introduced by scattering multiplication reactions, i.e.,
+        (n,xn) events. In this sense, the multiplication matrix is simply
+        defined as the ratio of the nu-scatter and scatter matrices.
+
+        Parameters
+        ----------
+        nuscatter: {openmc.mgxs.NuScatterMatrixXS,
+                    openmc.mgxs.MultiplicityMatrixXS}
+            MGXS Object containing the matrix cross section for the domain
+            of interest.
+        scatter: openmc.mgxs.ScatterMatrixXS
+            MGXS Object containing the scattering matrix cross section
+            for the domain of interest.
+        nuclide : str
+            Individual nuclide (or 'total' if obtaining material-wise data)
+            to gather data for.  Defaults to 'total'.
+        xs_type: {'macro', 'micro'}
+            Provide the macro or micro cross section in units of cm^-1 or
+            barns. Defaults to 'macro'.
+
+        See also
+        --------
+        openmc.mgxs.Library.create_mg_library()
+        openmc.mgxs.Library.get_xsdata
+
+        """
+
+        check_type('nuscatter', nuscatter, (openmc.mgxs.NuScatterMatrixXS,
+                                            openmc.mgxs.MultiplicityMatrixXS))
+        check_value('energy_groups', nuscatter.energy_groups,
+                    [self.energy_groups])
+        check_value('domain_type', nuscatter.domain_type,
+                    ['universe', 'cell', 'material'])
+        if scatter is not None:
+            check_type('scatter', scatter, openmc.mgxs.ScatterMatrixXS)
+            if isinstance(nuscatter, openmc.mgxs.MultiplicityMatrixXS):
+                msg = 'Either an MultiplicityMatrixXS object must be passed ' \
+                      'for "nuscatter" or the "scatter" argument must be ' \
+                      'provided.'
+                raise ValueError(msg)
+            check_value('energy_groups', scatter.energy_groups,
+                        [self.energy_groups])
+            check_value('domain_type', scatter.domain_type,
+                        ['universe', 'cell', 'material'])
+
+        if self.representation is 'isotropic':
+            nuscatt = nuscatter.get_xs(nuclides=nuclide,
+                                       xs_type=xs_type, moment=0)
+            if isinstance(nuscatter, openmc.mgxs.MultiplicityMatrixXS):
+                self._multiplicity = nuscatt
+            else:
+                scatt = scatter.get_xs(nuclides=nuclide,
+                                       xs_type=xs_type, moment=0)
+                self._multiplicity = np.divide(nuscatt, scatt)
+        elif self.representation is 'angle':
+            msg = 'Angular-Dependent MGXS have not yet been implemented'
+            raise ValueError(msg)
+        self._multiplicity = np.nan_to_num(self._multiplicity)
+
+    def _get_xsdata_xml(self):
+        element = ET.Element('xsdata')
+        element.set('name', self._name)
+
+        if self._alias is not None:
+            subelement = ET.SubElement(element, 'alias')
+            subelement.text = self.alias
+
+        if self._kT is not None:
+            subelement = ET.SubElement(element, 'kT')
+            subelement.text = str(self._kT)
+
+        if self._zaid is not None:
+            subelement = ET.SubElement(element, 'zaid')
+            subelement.text = str(self._zaid)
+
+        if self._awr is not None:
+            subelement = ET.SubElement(element, 'awr')
+            subelement.text = str(self._awr)
+
+        if self._kT is not None:
+            subelement = ET.SubElement(element, 'kT')
+            subelement.text = str(self._kT)
+
+        if self._fissionable is not None:
+            subelement = ET.SubElement(element, 'fissionable')
+            subelement.text = str(self._fissionable)
+
+        if self._representation is not None:
+            subelement = ET.SubElement(element, 'representation')
+            subelement.text = self._representation
+
+        if self._representation == 'angle':
+            if self._num_azimuthal is not None:
+                subelement = ET.SubElement(element, 'num_azimuthal')
+                subelement.text = str(self._num_azimuthal)
+            if self._num_polar is not None:
+                subelement = ET.SubElement(element, 'num_polar')
+                subelement.text = str(self._num_polar)
+
+        if self._scatt_type is not None:
+            subelement = ET.SubElement(element, 'scatt_type')
+            subelement.text = self._scatt_type
+
+        if self._order is not None:
+            subelement = ET.SubElement(element, 'order')
+            subelement.text = str(self._order)
+
+        if self._tabular_legendre is not None:
+            subelement = ET.SubElement(element, 'tabular_legendre')
+            subelement.set('enable', str(self._tabular_legendre['enable']))
+            subelement.set('num_points',
+                           str(self._tabular_legendre['num_points']))
+
+        if self._total is not None:
+            subelement = ET.SubElement(element, 'total')
+            subelement.text = ndarray_to_string(self._total)
+
+        if self._absorption is not None:
+            subelement = ET.SubElement(element, 'absorption')
+            subelement.text = ndarray_to_string(self._absorption)
+
+        if self._scatter is not None:
+            subelement = ET.SubElement(element, 'scatter')
+            subelement.text = ndarray_to_string(self._scatter)
+
+        if self._multiplicity is not None:
+            subelement = ET.SubElement(element, 'multiplicity')
+            subelement.text = ndarray_to_string(self._multiplicity)
+
+        if self._fissionable:
+            if self._fission is not None:
+                subelement = ET.SubElement(element, 'fission')
+                subelement.text = ndarray_to_string(self._fission)
+
+            if self._kappa_fission is not None:
+                subelement = ET.SubElement(element, 'k_fission')
+                subelement.text = ndarray_to_string(self._kappa_fission)
+
+            if self._nu_fission is not None:
+                subelement = ET.SubElement(element, 'nu_fission')
+                subelement.text = ndarray_to_string(self._nu_fission)
+
+            if self._chi is not None:
+                subelement = ET.SubElement(element, 'chi')
+                subelement.text = ndarray_to_string(self._chi)
+
+        return element
+
+
+class MGXSLibrary(object):
+    """Multi-Group Cross Sections file used for an OpenMC simulation.
+    Corresponds directly to the MG version of the cross_sections.xml input
+    file.
+
+    Attributes
+    ----------
+    energy_groups : openmc.mgxs.EnergyGroups
+        Energy group structure.
+    inverse_velocities : Iterable of Real
+        Inverse of velocities, units of sec/cm
+    xsdatas : Iterable of openmc.XSdata
+        Iterable of multi-Group cross section data objects
+    """
+
+    def __init__(self, energy_groups):
+        self._xsdatas = []
+        self._energy_groups = energy_groups
+        self._inverse_velocities = None
+        self._cross_sections_file = ET.Element('cross_sections')
+
+    @property
+    def inverse_velocities(self):
+        return self._inverse_velocities
+
+    @property
+    def energy_groups(self):
+        return self._energy_groups
+
+    @inverse_velocities.setter
+    def inverse_velocities(self, inverse_velocities):
+        check_type('inverse_velocities', inverse_velocities, Iterable, Real)
+        check_greater_than('number of inverse_velocities',
+                           len(inverse_velocities), 0.0)
+        self._inverse_velocities = np.array(inverse_velocities)
+
+    @energy_groups.setter
+    def energy_groups(self, energy_groups):
+        check_type('energy groups', energy_groups, openmc.mgxs.EnergyGroups)
+        self._energy_groups = energy_groups
+
+    def add_xsdata(self, xsdata):
+        """Add an XSdata entry to the file.
+
+        Parameters
+        ----------
+        xsdata : openmc.XSdata
+            MGXS information to add
+
+        """
+        if not isinstance(xsdata, XSdata):
+            msg = 'Unable to add a non-XSdata "{0}" to the ' \
+                  'MGXSLibrary instance'.format(xsdata)
+            raise ValueError(msg)
+        if xsdata.energy_groups != self._energy_groups:
+            msg = 'Energy groups of XSdata do not match that of MGXSLibrary.'
+            raise ValueError(msg)
+
+        self._xsdatas.append(xsdata)
+
+    def add_xsdatas(self, xsdatas):
+        """Add multiple xsdatas to the file.
+
+        Parameters
+        ----------
+        xsdatas : tuple or list of openmc.XSdata
+            XSdatas to add
+
+        """
+        check_iterable_type('xsdatas', xsdatas, XSdata)
+
+        for xsdata in xsdatas:
+            self.add_xsdata(xsdata)
+
+    def remove_xsdata(self, xsdata):
+        """Remove a xsdata from the file
+
+        Parameters
+        ----------
+        xsdata : openmc.XSdata
+            XSdata to remove
+
+        """
+
+        if not isinstance(xsdata, XSdata):
+            msg = 'Unable to remove a non-XSdata "{0}" from the ' \
+                  'MGXSLibrary instance'.format(xsdata)
+            raise ValueError(msg)
+
+        self._xsdatas.remove(xsdata)
+
+    def _create_groups_subelement(self):
+        if self._energy_groups is not None:
+            element = ET.SubElement(self._cross_sections_file, 'groups')
+            element.text = str(self._energy_groups.num_groups)
+
+    def _create_group_structure_subelement(self):
+        if self._energy_groups is not None:
+            element = ET.SubElement(self._cross_sections_file,
+                                    'group_structure')
+            element.text = ' '.join(map(str, self._energy_groups.group_edges))
+
+    def _create_inverse_velocities_subelement(self):
+        if self._inverse_velocities is not None:
+            element = ET.SubElement(self._cross_sections_file,
+                                    'inverse_velocities')
+            element.text = ' '.join(map(str, self._inverse_velocities))
+
+    def _create_xsdata_subelements(self):
+        for xsdata in self._xsdatas:
+            xml_element = xsdata._get_xsdata_xml()
+            self._cross_sections_file.append(xml_element)
+
+    def export_to_xml(self, filename='mgxs.xml'):
+        """Create an mgxs.xml file that can be used for a
+        simulation.
+
+        Parameters
+        ----------
+        filename : str, optional
+            filename of file, default is mgxs.xml
+
+        """
+
+        # Reset xml element tree
+        self._cross_sections_file.clear()
+
+        self._create_groups_subelement()
+        self._create_group_structure_subelement()
+        self._create_inverse_velocities_subelement()
+        self._create_xsdata_subelements()
+
+        # Clean the indentation in the file to be user-readable
+        sort_xml_elements(self._cross_sections_file)
+        clean_xml_indentation(self._cross_sections_file)
+
+        # Write the XML Tree to the xsdatas.xml file
+        tree = ET.ElementTree(self._cross_sections_file)
+        tree.write(filename, xml_declaration=True,
+                   encoding='utf-8', method='xml')
diff --git a/openmc/model/__init__.py b/openmc/model/__init__.py
new file mode 100644
index 0000000000..ffb1f42820
--- /dev/null
+++ b/openmc/model/__init__.py
@@ -0,0 +1 @@
+from .triso import *
diff --git a/openmc/model/triso.py b/openmc/model/triso.py
new file mode 100644
index 0000000000..89e0d8aa76
--- /dev/null
+++ b/openmc/model/triso.py
@@ -0,0 +1,155 @@
+import copy
+from collections import Iterable
+from numbers import Real
+import warnings
+
+import numpy as np
+
+import openmc
+import openmc.checkvalue as cv
+
+class TRISO(openmc.Cell):
+    """Tristructural-isotopic (TRISO) micro fuel particle
+
+    Parameters
+    ----------
+    outer_radius : float
+        Outer radius of TRISO particle
+    fill : openmc.Universe
+        Universe which contains all layers of the TRISO particle
+    center : Iterable of float
+        Cartesian coordinates of the center of the TRISO particle in cm
+
+    Attributes
+    ----------
+    id : int
+        Unique identifier for the TRISO cell
+    name : str
+        Name of the TRISO cell
+    center : numpy.ndarray
+        Cartesian coordinates of the center of the TRISO particle in cm
+    fill : openmc.Universe
+        Universe that contains the TRISO layers
+    region : openmc.Region
+        Region of space within the TRISO particle
+
+    """
+
+    def __init__(self, outer_radius, fill, center=(0., 0., 0.)):
+        self._surface = openmc.Sphere(R=outer_radius)
+        super(TRISO, self).__init__(fill=fill, region=-self._surface)
+        self.center = np.asarray(center)
+
+    @property
+    def center(self):
+        return self._center
+
+    @center.setter
+    def center(self, center):
+        cv.check_type('TRISO center', center, Iterable, Real)
+        self._surface.x0 = center[0]
+        self._surface.y0 = center[1]
+        self._surface.z0 = center[2]
+        self.translation = center
+        self._center = center
+
+    def classify(self, lattice):
+        """Determine lattice element indices which might contain the TRISO particle.
+
+        Parameters
+        ----------
+        lattice : openmc.RectLattice
+            Lattice to check
+
+        Returns
+        -------
+        list of tuple
+            (z,y,x) lattice element indices which might contain the TRISO
+            particle.
+
+        """
+
+        ll, ur = self.region.bounding_box
+        if lattice.ndim == 2:
+            (i_min, j_min), p = lattice.find_element(ll)
+            (i_max, j_max), p = lattice.find_element(ur)
+            return list(np.broadcast(*np.ogrid[
+                j_min:j_max+1, i_min:i_max+1]))
+        else:
+            (i_min, j_min, k_min), p = lattice.find_element(ll)
+            (i_max, j_max, k_max), p = lattice.find_element(ur)
+            return list(np.broadcast(*np.ogrid[
+                k_min:k_max+1, j_min:j_max+1, i_min:i_max+1]))
+
+
+def create_triso_lattice(trisos, lower_left, pitch, shape, background):
+    """Create a lattice containing TRISO particles for optimized tracking.
+
+    Parameters
+    ----------
+    trisos : list of openmc.model.TRISO
+        List of TRISO particles to put in lattice
+    lower_left : Iterable of float
+        Lower-left Cartesian coordinates of the lattice
+    pitch : Iterable of float
+        Pitch of the lattice elements in the x-, y-, and z-directions
+    shape : Iterable of float
+        Number of lattice elements in the x-, y-, and z-directions
+    background : openmc.Material
+        A background material that is used anywhere within the lattice but
+        outside a TRISO particle
+
+    Returns
+    -------
+    lattice : openmc.RectLattice
+        A lattice containing the TRISO particles
+
+    """
+
+    lattice = openmc.RectLattice()
+    lattice.lower_left = lower_left
+    lattice.pitch = pitch
+
+    indices = list(np.broadcast(*np.ogrid[:shape[2], :shape[1], :shape[0]]))
+    triso_locations = {idx: [] for idx in indices}
+    for t in trisos:
+        for idx in t.classify(lattice):
+            if idx in sorted(triso_locations):
+                # Create copy of TRISO particle with materials preserved and
+                # different cell/surface IDs
+                t_copy = copy.deepcopy(t)
+                t_copy.id = None
+                t_copy.fill = t.fill
+                t_copy._surface.id = None
+                triso_locations[idx].append(t_copy)
+            else:
+                warnings.warn('TRISO particle is partially or completely '
+                              'outside of the lattice.')
+
+    # Create universes
+    universes = np.empty(shape[::-1], dtype=openmc.Universe)
+    for idx, triso_list in sorted(triso_locations.items()):
+        if len(triso_list) > 0:
+            outside_trisos = openmc.Intersection(*[~t.region for t in triso_list])
+            background_cell = openmc.Cell(fill=background, region=outside_trisos)
+        else:
+            background_cell = openmc.Cell(fill=background)
+
+        u = openmc.Universe()
+        u.add_cell(background_cell)
+        for t in triso_list:
+            u.add_cell(t)
+            iz, iy, ix = idx
+            t.center = lattice.get_local_coordinates(t.center, (ix, iy, iz))
+
+        if len(shape) == 2:
+            universes[-1 - idx[0], idx[1]] = u
+        else:
+            universes[idx[0], -1 - idx[1], idx[2]] = u
+    lattice.universes = universes
+
+    # Set outer universe
+    background_cell = openmc.Cell(fill=background)
+    lattice.outer = openmc.Universe(cells=[background_cell])
+
+    return lattice
diff --git a/openmc/nuclide.py b/openmc/nuclide.py
index 01fb2aa459..bfeff93113 100644
--- a/openmc/nuclide.py
+++ b/openmc/nuclide.py
@@ -46,9 +46,9 @@ class Nuclide(object):
 
     def __eq__(self, other):
         if isinstance(other, Nuclide):
-            if self._name != other._name:
+            if self.name != other.name:
                 return False
-            elif self._xs != other._xs:
+            elif self.xs != other.xs:
                 return False
             else:
                 return True
@@ -60,14 +60,23 @@ class Nuclide(object):
     def __ne__(self, other):
         return not self == other
 
+    def __gt__(self, other):
+        return repr(self) > repr(other)
+
+    def __lt__(self, other):
+        return not self > other
+
     def __hash__(self):
         return hash(repr(self))
 
     def __repr__(self):
         string = 'Nuclide    -    {0}\n'.format(self._name)
-        string += '{0: <16}{1}{2}\n'.format('\tXS', '=\t', self._xs)
-        if self._zaid is not None:
-            string += '{0: <16}{1}{2}\n'.format('\tZAID', '=\t', self._zaid)
+        string += '{0: <16}{1}{2}\n'.format('\tXS', '=\t', self.xs)
+        if self.zaid is not None:
+            string += '{0: <16}{1}{2}\n'.format('\tZAID', '=\t', self.zaid)
+        if self.scattering is not None:
+            string += '{0: <16}{1}{2}\n'.format('\tscattering', '=\t',
+                                                self.scattering)
         return string
 
     @property
@@ -110,13 +119,3 @@ class Nuclide(object):
             raise ValueError(msg)
 
         self._scattering = scattering
-
-    def __repr__(self):
-        string = 'Nuclide    -    {0}\n'.format(self._name)
-        string += '{0: <16}{1}{2}\n'.format('\tXS', '=\t', self.xs)
-        if self.zaid is not None:
-            string += '{0: <16}{1}{2}\n'.format('\tZAID', '=\t', self.zaid)
-        if self.scattering is not None:
-            string += '{0: <16}{1}{2}\n'.format('\tscattering', '=\t', 
-                                                self.scattering)
-        return string
diff --git a/openmc/opencg_compatible.py b/openmc/opencg_compatible.py
index afa57c78d9..93a257f465 100644
--- a/openmc/opencg_compatible.py
+++ b/openmc/opencg_compatible.py
@@ -1,16 +1,16 @@
 import copy
+import operator
 
 import numpy as np
 
 try:
     import opencg
 except ImportError:
-    msg = 'Unable to import opencg which is needed by openmc.opencg_compatible'
-    raise ImportError(msg)
+    raise ImportError('Unable to import opencg which is needed by '
+                      'openmc.opencg_compatible')
 
 import openmc
-from openmc.region import Intersection
-from openmc.surface import Halfspace
+import openmc.checkvalue as cv
 
 
 # A dictionary of all OpenMC Materials created
@@ -79,12 +79,8 @@ def get_opencg_material(openmc_material):
 
     """
 
-    if not isinstance(openmc_material, openmc.Material):
-        msg = 'Unable to create an OpenCG Material from "{0}" ' \
-              'which is not an OpenMC Material'.format(openmc_material)
-        raise ValueError(msg)
+    cv.check_type('openmc_material', openmc_material, openmc.Material)
 
-    global OPENCG_MATERIALS
     material_id = openmc_material.id
 
     # If this Material was already created, use it
@@ -119,12 +115,8 @@ def get_openmc_material(opencg_material):
 
     """
 
-    if not isinstance(opencg_material, opencg.Material):
-        msg = 'Unable to create an OpenMC Material from "{0}" ' \
-              'which is not an OpenCG Material'.format(opencg_material)
-        raise ValueError(msg)
+    cv.check_type('opencg_material', opencg_material, opencg.Material)
 
-    global OPENMC_MATERIALS
     material_id = opencg_material.id
 
     # If this Material was already created, use it
@@ -165,10 +157,7 @@ def is_opencg_surface_compatible(opencg_surface):
 
     """
 
-    if not isinstance(opencg_surface, opencg.Surface):
-        msg = 'Unable to check if OpenCG Surface is compatible' \
-              'since "{0}" is not a Surface'.format(opencg_surface)
-        raise ValueError(msg)
+    cv.check_type('opencg_surface', opencg_surface, opencg.Surface)
 
     if opencg_surface.type in ['x-squareprism',
                                'y-squareprism', 'z-squareprism']:
@@ -192,12 +181,8 @@ def get_opencg_surface(openmc_surface):
 
     """
 
-    if not isinstance(openmc_surface, openmc.Surface):
-        msg = 'Unable to create an OpenCG Surface from "{0}" ' \
-              'which is not an OpenMC Surface'.format(openmc_surface)
-        raise ValueError(msg)
+    cv.check_type('openmc_surface', openmc_surface, openmc.Surface)
 
-    global OPENCG_SURFACES
     surface_id = openmc_surface.id
 
     # If this Material was already created, use it
@@ -238,21 +223,21 @@ def get_opencg_surface(openmc_surface):
         z0 = openmc_surface.z0
         R = openmc_surface.r
         opencg_surface = opencg.XCylinder(surface_id, name,
-                                            boundary, y0, z0, R)
+                                          boundary, y0, z0, R)
 
     elif openmc_surface.type == 'y-cylinder':
         x0 = openmc_surface.x0
         z0 = openmc_surface.z0
         R = openmc_surface.r
         opencg_surface = opencg.YCylinder(surface_id, name,
-                                            boundary, x0, z0, R)
+                                          boundary, x0, z0, R)
 
     elif openmc_surface.type == 'z-cylinder':
         x0 = openmc_surface.x0
         y0 = openmc_surface.y0
         R = openmc_surface.r
         opencg_surface = opencg.ZCylinder(surface_id, name,
-                                            boundary, x0, y0, R)
+                                          boundary, x0, y0, R)
 
     # Add the OpenMC Surface to the global collection of all OpenMC Surfaces
     OPENMC_SURFACES[surface_id] = openmc_surface
@@ -278,12 +263,8 @@ def get_openmc_surface(opencg_surface):
 
     """
 
-    if not isinstance(opencg_surface, opencg.Surface):
-        msg = 'Unable to create an OpenMC Surface from "{0}" which ' \
-              'is not an OpenCG Surface'.format(opencg_surface)
-        raise ValueError(msg)
+    cv.check_type('opencg_surface', opencg_surface, opencg.Surface)
 
-    global openmc_surface
     surface_id = opencg_surface.id
 
     # If this Surface was already created, use it
@@ -369,12 +350,8 @@ def get_compatible_opencg_surfaces(opencg_surface):
 
     """
 
-    if not isinstance(opencg_surface, opencg.Surface):
-        msg = 'Unable to create an OpenMC Surface from "{0}" which ' \
-              'is not an OpenCG Surface'.format(opencg_surface)
-        raise ValueError(msg)
+    cv.check_type('opencg_surface', opencg_surface, opencg.Surface)
 
-    global OPENMC_SURFACES
     surface_id = opencg_surface.id
 
     # If this Surface was already created, use it
@@ -410,9 +387,9 @@ def get_compatible_opencg_surfaces(opencg_surface):
         surfaces = [left, right, bottom, top]
 
     elif opencg_surface.type == 'z-squareprism':
-        x0 = opencg_surface.x0['x0']
-        y0 = opencg_surface.y0['y0']
-        R = opencg_surface.r['R']
+        x0 = opencg_surface.x0
+        y0 = opencg_surface.y0
+        R = opencg_surface.r
 
         # Create a list of the four planes we need
         left = opencg.XPlane(name=name, boundary=boundary, x0=x0-R)
@@ -451,12 +428,8 @@ def get_opencg_cell(openmc_cell):
 
     """
 
-    if not isinstance(openmc_cell, openmc.Cell):
-        msg = 'Unable to create an OpenCG Cell from "{0}" which ' \
-              'is not an OpenMC Cell'.format(openmc_cell)
-        raise ValueError(msg)
+    cv.check_type('openmc_cell', openmc_cell, openmc.Cell)
 
-    global OPENCG_CELLS
     cell_id = openmc_cell.id
 
     # If this Cell was already created, use it
@@ -469,9 +442,9 @@ def get_opencg_cell(openmc_cell):
 
     fill = openmc_cell.fill
 
-    if (openmc_cell.fill_type == 'material'):
+    if openmc_cell.fill_type == 'material':
         opencg_cell.fill = get_opencg_material(fill)
-    elif (openmc_cell.fill_type == 'universe'):
+    elif openmc_cell.fill_type == 'universe':
         opencg_cell.fill = get_opencg_universe(fill)
     else:
         opencg_cell.fill = get_opencg_lattice(fill)
@@ -487,13 +460,13 @@ def get_opencg_cell(openmc_cell):
     # half-spaces, i.e., no complex cells.
     region = openmc_cell.region
     if region is not None:
-        if isinstance(region, Halfspace):
+        if isinstance(region, openmc.Halfspace):
             surface = region.surface
             halfspace = -1 if region.side == '-' else 1
             opencg_cell.add_surface(get_opencg_surface(surface), halfspace)
-        elif isinstance(region, Intersection):
+        elif isinstance(region, openmc.Intersection):
             for node in region.nodes:
-                if not isinstance(node, Halfspace):
+                if not isinstance(node, openmc.Halfspace):
                     raise NotImplementedError("Complex cells not yet "
                                               "supported in OpenCG.")
                 surface = node.surface
@@ -501,7 +474,7 @@ def get_opencg_cell(openmc_cell):
                 opencg_cell.add_surface(get_opencg_surface(surface), halfspace)
         else:
             raise NotImplementedError("Complex cells not yet supported "
-                                       "in OpenCG.")
+                                      "in OpenCG.")
 
     # Add the OpenMC Cell to the global collection of all OpenMC Cells
     OPENMC_CELLS[cell_id] = openmc_cell
@@ -533,20 +506,10 @@ def get_compatible_opencg_cells(opencg_cell, opencg_surface, halfspace):
         OpenMC
 
     """
-    if not isinstance(opencg_cell, opencg.Cell):
-        msg = 'Unable to create compatible OpenMC Cell from "{0}" which ' \
-              'is not an OpenCG Cell'.format(opencg_cell)
-        raise ValueError(msg)
 
-    elif not isinstance(opencg_surface, opencg.Surface):
-        msg = 'Unable to create compatible OpenMC Cell since "{0}" is ' \
-              'not an OpenCG Surface'.format(opencg_surface)
-        raise ValueError(msg)
-
-    elif halfspace not in [-1, +1]:
-        msg = 'Unable to create compatible Cell since "{0}"' \
-              'is not a +/-1 halfspace'.format(halfspace)
-        raise ValueError(msg)
+    cv.check_type('opencg_cell', opencg_cell, opencg.Cell)
+    cv.check_type('opencg_surface', opencg_surface, opencg.Surface)
+    cv.check_value('halfspace', halfspace, (-1, +1))
 
     # Initialize an empty list for the new compatible cells
     compatible_cells = []
@@ -558,7 +521,7 @@ def get_compatible_opencg_cells(opencg_cell, opencg_surface, halfspace):
         # Get the compatible Surfaces (XPlanes and YPlanes)
         compatible_surfaces = get_compatible_opencg_surfaces(opencg_surface)
 
-        opencg_cell.removeSurface(opencg_surface)
+        opencg_cell.remove_surface(opencg_surface)
 
         # If Cell is inside SquarePrism, add "inside" of Surface halfspaces
         if halfspace == -1:
@@ -575,7 +538,7 @@ def get_compatible_opencg_cells(opencg_cell, opencg_surface, halfspace):
             num_clones = 8
 
             for clone_id in range(num_clones):
-                # Create a cloned OpenCG Cell with Surfaces compatible with OpenMC
+                # Create cloned OpenCG Cell with Surfaces compatible with OpenMC
                 clone = opencg_cell.clone()
                 compatible_cells.append(clone)
 
@@ -625,7 +588,7 @@ def get_compatible_opencg_cells(opencg_cell, opencg_surface, halfspace):
 
     # Remove redundant Surfaces from the Cells
     for cell in compatible_cells:
-        cell.removeRedundantSurfaces()
+        cell.remove_redundant_surfaces()
 
     # Return the list of OpenMC compatible OpenCG Cells
     return compatible_cells
@@ -641,15 +604,12 @@ def make_opencg_cells_compatible(opencg_universe):
 
     """
 
-    if not isinstance(opencg_universe, opencg.Universe):
-        msg = 'Unable to make compatible OpenCG Cells for "{0}" which ' \
-              'is not an OpenCG Universe'.format(opencg_universe)
-        raise ValueError(msg)
+    cv.check_type('opencg_universe', opencg_universe, opencg.Universe)
 
     # Check all OpenCG Cells in this Universe for compatibility with OpenMC
     opencg_cells = opencg_universe.cells
 
-    for cell_id, opencg_cell in opencg_cells.items():
+    for opencg_cell in opencg_cells.values():
 
         # Check each of the OpenCG Surfaces for OpenMC compatibility
         surfaces = opencg_cell.surfaces
@@ -669,10 +629,10 @@ def make_opencg_cells_compatible(opencg_universe):
                 # of this block is necessary in the event that there are more
                 # incompatible Surfaces in this Cell that are not accounted for.
                 cells = get_compatible_opencg_cells(opencg_cell,
-                                                     surface, halfspace)
+                                                    surface, halfspace)
 
                 # Remove the non-compatible OpenCG Cell from the Universe
-                opencg_universe.removeCell(opencg_cell)
+                opencg_universe.remove_cell(opencg_cell)
 
                 # Add the compatible OpenCG Cells to the Universe
                 opencg_universe.add_cells(cells)
@@ -700,12 +660,8 @@ def get_openmc_cell(opencg_cell):
 
     """
 
-    if not isinstance(opencg_cell, opencg.Cell):
-        msg = 'Unable to create an OpenMC Cell from "{0}" which ' \
-              'is not an OpenCG Cell'.format(opencg_cell)
-        raise ValueError(msg)
+    cv.check_type('opencg_cell', opencg_cell, opencg.Cell)
 
-    global OPENMC_CELLS
     cell_id = opencg_cell.id
 
     # If this Cell was already created, use it
@@ -718,27 +674,28 @@ def get_openmc_cell(opencg_cell):
 
     fill = opencg_cell.fill
 
-    if (opencg_cell.type == 'universe'):
+    if opencg_cell.type == 'universe':
         openmc_cell.fill = get_openmc_universe(fill)
-    elif (opencg_cell.type == 'lattice'):
+    elif opencg_cell.type == 'lattice':
         openmc_cell.fill = get_openmc_lattice(fill)
     else:
         openmc_cell.fill = get_openmc_material(fill)
 
-    if opencg_cell.rotation:
+    if opencg_cell.rotation is not None:
         rotation = np.asarray(opencg_cell.rotation, dtype=np.float64)
         openmc_cell.rotation = rotation
 
-    if opencg_cell.translation:
+    if opencg_cell.translation is not None:
         translation = np.asarray(opencg_cell.translation, dtype=np.float64)
         openmc_cell.translation = translation
 
-    surfaces = opencg_cell.surfaces
-
-    for surface_id in surfaces:
-        surface = surfaces[surface_id][0]
-        halfspace = surfaces[surface_id][1]
-        openmc_cell.add_surface(get_openmc_surface(surface), halfspace)
+    surfaces = []
+    operators = []
+    for surface, halfspace in opencg_cell.surfaces.values():
+        surfaces.append(get_openmc_surface(surface))
+        operators.append(operator.neg if halfspace == -1 else operator.pos)
+    openmc_cell.region = openmc.Intersection(
+        *[op(s) for op, s in zip(operators, surfaces)])
 
     # Add the OpenMC Cell to the global collection of all OpenMC Cells
     OPENMC_CELLS[cell_id] = openmc_cell
@@ -764,12 +721,8 @@ def get_opencg_universe(openmc_universe):
 
     """
 
-    if not isinstance(openmc_universe, openmc.Universe):
-        msg = 'Unable to create an OpenCG Universe from "{0}" which ' \
-              'is not an OpenMC Universe'.format(openmc_universe)
-        raise ValueError(msg)
+    cv.check_type('openmc_universe', openmc_universe, openmc.Universe)
 
-    global OPENCG_UNIVERSES
     universe_id = openmc_universe.id
 
     # If this Universe was already created, use it
@@ -783,7 +736,7 @@ def get_opencg_universe(openmc_universe):
     # Convert all OpenMC Cells in this Universe to OpenCG Cells
     openmc_cells = openmc_universe.cells
 
-    for cell_id, openmc_cell in openmc_cells.items():
+    for openmc_cell in openmc_cells.values():
         opencg_cell = get_opencg_cell(openmc_cell)
         opencg_universe.add_cell(opencg_cell)
 
@@ -811,12 +764,8 @@ def get_openmc_universe(opencg_universe):
 
     """
 
-    if not isinstance(opencg_universe, opencg.Universe):
-        msg = 'Unable to create an OpenMC Universe from "{0}" which ' \
-              'is not an OpenCG Universe'.format(opencg_universe)
-        raise ValueError(msg)
+    cv.check_type('opencg_universe', opencg_universe, opencg.Universe)
 
-    global OPENMC_UNIVERSES
     universe_id = opencg_universe.id
 
     # If this Universe was already created, use it
@@ -833,7 +782,7 @@ def get_openmc_universe(opencg_universe):
     # Convert all OpenCG Cells in this Universe to OpenMC Cells
     opencg_cells = opencg_universe.cells
 
-    for cell_id, opencg_cell in opencg_cells.items():
+    for opencg_cell in opencg_cells.values():
         openmc_cell = get_openmc_cell(opencg_cell)
         openmc_universe.add_cell(openmc_cell)
 
@@ -861,12 +810,8 @@ def get_opencg_lattice(openmc_lattice):
 
     """
 
-    if not isinstance(openmc_lattice, openmc.Lattice):
-        msg = 'Unable to create an OpenCG Lattice from "{0}" which ' \
-              'is not an OpenMC Lattice'.format(openmc_lattice)
-        raise ValueError(msg)
+    cv.check_type('openmc_lattice', openmc_lattice, openmc.Lattice)
 
-    global OPENCG_LATTICES
     lattice_id = openmc_lattice.id
 
     # If this Lattice was already created, use it
@@ -875,25 +820,39 @@ def get_opencg_lattice(openmc_lattice):
 
     # Create an OpenCG Lattice to represent this OpenMC Lattice
     name = openmc_lattice.name
-    dimension = openmc_lattice.dimension
+    dimension = openmc_lattice.shape
     pitch = openmc_lattice.pitch
     lower_left = openmc_lattice.lower_left
     universes = openmc_lattice.universes
     outer = openmc_lattice.outer
 
+    # Convert 2D dimension to 3D for OpenCG
+    if len(dimension) == 2:
+        new_dimension = np.ones(3, dtype=np.int)
+        new_dimension[:2] = dimension
+        dimension = new_dimension
+
+    # Convert 2D pitch to 3D for OpenCG
     if len(pitch) == 2:
-        new_pitch = np.ones(3, dtype=np.float64) * np.inf
+        new_pitch = np.ones(3, dtype=np.float64) * np.finfo(np.float64).max
         new_pitch[:2] = pitch
         pitch = new_pitch
 
+    # Convert 2D lower left to 3D for OpenCG
     if len(lower_left) == 2:
-        new_lower_left = np.ones(3, dtype=np.float64)
+        new_lower_left = np.ones(3, dtype=np.float64) * np.finfo(np.float64).min
         new_lower_left[:2] = lower_left
         lower_left = new_lower_left
 
+    # Convert 2D universes array to 3D for OpenCG
+    if len(universes.shape) == 2:
+        new_universes = universes.copy()
+        new_universes.shape = (1,) + universes.shape
+        universes = new_universes
+
     # Initialize an empty array for the OpenCG nested Universes in this Lattice
-    universe_array = np.ndarray(tuple(np.array(dimension)[::-1]),
-                                dtype=opencg.Universe)
+    universe_array = np.empty(tuple(np.array(dimension)[::-1]),
+                              dtype=opencg.Universe)
 
     # Create OpenCG Universes for each unique nested Universe in this Lattice
     unique_universes = openmc_lattice.get_unique_universes()
@@ -905,7 +864,7 @@ def get_opencg_lattice(openmc_lattice):
     for z in range(dimension[2]):
         for y in range(dimension[1]):
             for x in range(dimension[0]):
-                universe_id = universes[x][dimension[1]-y-1][z].id
+                universe_id = universes[z][y][x].id
                 universe_array[z][y][x] = unique_universes[universe_id]
 
     opencg_lattice = opencg.Lattice(lattice_id, name)
@@ -944,12 +903,8 @@ def get_openmc_lattice(opencg_lattice):
 
     """
 
-    if not isinstance(opencg_lattice, opencg.Lattice):
-        msg = 'Unable to create an OpenMC Lattice from "{0}" which ' \
-              'is not an OpenCG Lattice'.format(opencg_lattice)
-        raise ValueError(msg)
+    cv.check_type('opencg_lattice', opencg_lattice, opencg.Lattice)
 
-    global OPENMC_LATTICES
     lattice_id = opencg_lattice.id
 
     # If this Lattice was already created, use it
@@ -963,8 +918,8 @@ def get_openmc_lattice(opencg_lattice):
     outer = opencg_lattice.outside
 
     # Initialize an empty array for the OpenMC nested Universes in this Lattice
-    universe_array = np.ndarray(tuple(np.array(dimension)),
-                                dtype=openmc.Universe)
+    universe_array = np.empty(tuple(np.array(dimension)[::-1]),
+                              dtype=openmc.Universe)
 
     # Create OpenMC Universes for each unique nested Universe in this Lattice
     unique_universes = opencg_lattice.get_unique_universes()
@@ -977,7 +932,7 @@ def get_openmc_lattice(opencg_lattice):
         for y in range(dimension[1]):
             for x in range(dimension[0]):
                 universe_id = universes[z][y][x].id
-                universe_array[x][y][z] = unique_universes[universe_id]
+                universe_array[z][y][x] = unique_universes[universe_id]
 
     # Reverse y-dimension in array to match ordering in OpenCG
     universe_array = universe_array[:, ::-1, :]
@@ -987,7 +942,6 @@ def get_openmc_lattice(opencg_lattice):
                    np.array(dimension, dtype=np.float64))) / -2.0
 
     openmc_lattice = openmc.RectLattice(lattice_id=lattice_id)
-    openmc_lattice.dimension = dimension
     openmc_lattice.pitch = width
     openmc_lattice.universes = universe_array
     openmc_lattice.lower_left = lower_left
@@ -1018,10 +972,7 @@ def get_opencg_geometry(openmc_geometry):
 
     """
 
-    if not isinstance(openmc_geometry, openmc.Geometry):
-        msg = 'Unable to get OpenCG geometry from "{0}" which is ' \
-              'not an OpenMC Geometry object'.format(openmc_geometry)
-        raise ValueError(msg)
+    cv.check_type('openmc_geometry', openmc_geometry, openmc.Geometry)
 
     # Clear dictionaries and auto-generated IDs
     OPENMC_SURFACES.clear()
@@ -1039,6 +990,7 @@ def get_opencg_geometry(openmc_geometry):
     opencg_geometry = opencg.Geometry()
     opencg_geometry.root_universe = opencg_root_universe
     opencg_geometry.initialize_cell_offsets()
+    opencg_geometry.assign_auto_ids()
 
     return opencg_geometry
 
@@ -1058,10 +1010,7 @@ def get_openmc_geometry(opencg_geometry):
 
     """
 
-    if not isinstance(opencg_geometry, opencg.Geometry):
-        msg = 'Unable to get OpenMC geometry from "{0}" which is ' \
-              'not an OpenCG Geometry object'.format(opencg_geometry)
-        raise ValueError(msg)
+    cv.check_type('opencg_geometry', opencg_geometry, opencg.Geometry)
 
     # Deep copy the goemetry since it may be modified to make all Surfaces
     # compatible with OpenMC's specifications
@@ -1083,7 +1032,7 @@ def get_openmc_geometry(opencg_geometry):
 
     # Make the entire geometry "compatible" before assigning auto IDs
     universes = opencg_geometry.get_all_universes()
-    for universe_id, universe in universes.items():
+    for universe in universes.values():
         if not isinstance(universe, opencg.Lattice):
             make_opencg_cells_compatible(universe)
 
diff --git a/openmc/particle_restart.py b/openmc/particle_restart.py
index 72bf3ac3de..fb2fc4736f 100644
--- a/openmc/particle_restart.py
+++ b/openmc/particle_restart.py
@@ -1,6 +1,3 @@
-import struct
-
-
 class Particle(object):
     """Information used to restart a specific particle that caused a simulation to
     fail.
@@ -37,6 +34,11 @@ class Particle(object):
 
     def __init__(self, filename):
         import h5py
+        if h5py.__version__ == '2.6.0':
+            raise ImportError("h5py 2.6.0 has a known bug which makes it "
+                              "incompatible with OpenMC's HDF5 files. "
+                              "Please switch to a different version.")
+
         self._f = h5py.File(filename, 'r')
 
         # Ensure filetype and revision are correct
diff --git a/openmc/plots.py b/openmc/plots.py
index 636ca225cb..73b51da5e8 100644
--- a/openmc/plots.py
+++ b/openmc/plots.py
@@ -2,12 +2,13 @@ from collections import Iterable
 from numbers import Real, Integral
 from xml.etree import ElementTree as ET
 import sys
+import warnings
 
 import numpy as np
 
 import openmc
 import openmc.checkvalue as cv
-from openmc.clean_xml import *
+from openmc.clean_xml import clean_xml_indentation
 
 if sys.version_info[0] >= 3:
     basestring = str
@@ -17,6 +18,7 @@ AUTO_PLOT_ID = 10000
 
 
 def reset_auto_plot_id():
+    """Reset counter for auto-generated plot IDs."""
     global AUTO_PLOT_ID
     AUTO_PLOT_ID = 10000
 
@@ -125,7 +127,7 @@ class Plot(object):
         return self._background
 
     @property
-    def mask_componenets(self):
+    def mask_components(self):
         return self._mask_components
 
     @property
@@ -200,7 +202,7 @@ class Plot(object):
         cv.check_type('plot background', background, Iterable, Integral)
         cv.check_length('plot background', background, 3)
         for rgb in background:
-            cv.check_greater_than('plot background',rgb, 0, True)
+            cv.check_greater_than('plot background', rgb, 0, True)
             cv.check_less_than('plot background', rgb, 256)
         self._background = background
 
@@ -227,7 +229,7 @@ class Plot(object):
 
         self._col_spec = col_spec
 
-    @mask_componenets.setter
+    @mask_components.setter
     def mask_components(self, mask_components):
         cv.check_type('plot mask_components', mask_components, Iterable, Integral)
         for component in mask_components:
@@ -256,7 +258,7 @@ class Plot(object):
         string += '{0: <16}{1}{2}\n'.format('\tColor', '=\t', self._color)
         string += '{0: <16}{1}{2}\n'.format('\tMask', '=\t',
                                             self._mask_components)
-        string += '{0: <16}{1}{2}\n'.format('\tMask',    '=\t',
+        string += '{0: <16}{1}{2}\n'.format('\tMask', '=\t',
                                             self._mask_background)
         string += '{0: <16}{1}{2}\n'.format('\tCol Spec', '=\t', self._col_spec)
         return string
@@ -275,7 +277,7 @@ class Plot(object):
             The random number seed used to generate the color scheme
 
         """
-        
+
         cv.check_type('geometry', geometry, openmc.Geometry)
         cv.check_type('seed', seed, Integral)
         cv.check_greater_than('seed', seed, 1, equality=True)
@@ -401,44 +403,90 @@ class Plot(object):
         return element
 
 
-class PlotsFile(object):
-    """Plots file used for an OpenMC simulation. Corresponds directly to the
-    plots.xml input file.
+class Plots(cv.CheckedList):
+    """Collection of Plots used for an OpenMC simulation.
+
+    This class corresponds directly to the plots.xml input file. It can be
+    thought of as a normal Python list where each member is a :class:`Plot`. It
+    behaves like a list as the following example demonstrates:
+
+    >>> xz_plot = openmc.Plot()
+    >>> big_plot = openmc.Plot()
+    >>> small_plot = openmc.Plot()
+    >>> p = openmc.Plots((xz_plot, big_plot))
+    >>> p.append(small_plot)
+    >>> small_plot = p.pop()
+
+    Parameters
+    ----------
+    plots : Iterable of openmc.Plot
+        Plots to add to the collection
 
     """
 
-    def __init__(self):
-        # Initialize PlotsFile class attributes
-        self._plots = []
+    def __init__(self, plots=None):
+        super(Plots, self).__init__(Plot, 'plots collection')
         self._plots_file = ET.Element("plots")
+        if plots is not None:
+            self += plots
 
     def add_plot(self, plot):
         """Add a plot to the file.
 
+        .. deprecated:: 0.8
+            Use :meth:`Plots.append` instead.
+
         Parameters
         ----------
-        plot : Plot
+        plot : openmc.Plot
             Plot to add
 
         """
+        warnings.warn("Plots.add_plot(...) has been deprecated and may be "
+                      "removed in a future version. Use Plots.append(...) "
+                      "instead.", DeprecationWarning)
+        self.append(plot)
 
-        if not isinstance(plot, Plot):
-            msg = 'Unable to add a non-Plot "{0}" to the PlotsFile'.format(plot)
-            raise ValueError(msg)
+    def append(self, plot):
+        """Append plot to collection
 
-        self._plots.append(plot)
+        Parameters
+        ----------
+        plot : openmc.Plot
+            Plot to append
+
+        """
+        super(Plots, self).append(plot)
+
+    def insert(self, index, plot):
+        """Insert plot before index
+
+        Parameters
+        ----------
+        index : int
+            Index in list
+        plot : openmc.Plot
+            Plot to insert
+
+        """
+        super(Plots, self).insert(index, plot)
 
     def remove_plot(self, plot):
         """Remove a plot from the file.
 
+        .. deprecated:: 0.8
+            Use :meth:`Plots.remove` instead.
+
         Parameters
         ----------
-        plot : Plot
+        plot : openmc.Plot
             Plot to remove
 
         """
-
-        self._plots.remove(plot)
+        warnings.warn("Plots.remove_plot(...) has been deprecated and may be "
+                      "removed in a future version. Use Plots.remove(...) "
+                      "instead.", DeprecationWarning)
+        self.remove(plot)
 
     def colorize(self, geometry, seed=1):
         """Generate a consistent color scheme for each domain in each plot.
@@ -456,7 +504,7 @@ class PlotsFile(object):
 
         """
 
-        for plot in self._plots:
+        for plot in self:
             plot.colorize(geometry, seed)
 
 
@@ -482,15 +530,15 @@ class PlotsFile(object):
 
         """
 
-        for plot in self._plots:
+        for plot in self:
             plot.highlight_domains(geometry, domains, seed, alpha, background)
 
     def _create_plot_subelements(self):
-        for plot in self._plots:
+        for plot in self:
             xml_element = plot.get_plot_xml()
 
-            if len(plot._name) > 0:
-                self._plots_file.append(ET.Comment(plot._name))
+            if len(plot.name) > 0:
+                self._plots_file.append(ET.Comment(plot.name))
 
             self._plots_file.append(xml_element)
 
@@ -510,4 +558,4 @@ class PlotsFile(object):
         # Write the XML Tree to the plots.xml file
         tree = ET.ElementTree(self._plots_file)
         tree.write("plots.xml", xml_declaration=True,
-                             encoding='utf-8', method="xml")
+                   encoding='utf-8', method="xml")
diff --git a/openmc/region.py b/openmc/region.py
index 7589184aa5..a1b9e9fd0d 100644
--- a/openmc/region.py
+++ b/openmc/region.py
@@ -9,10 +9,11 @@ from openmc.checkvalue import check_type
 class Region(object):
     """Region of space that can be assigned to a cell.
 
-    Region is an abstract base class that is inherited by Halfspace,
-    Intersection, Union, and Complement. Each of those respective classes are
-    typically not instantiated directly but rather are created through operators
-    of the Surface and Region classes.
+    Region is an abstract base class that is inherited by
+    :class:`openmc.Halfspace`, :class:`openmc.Intersection`,
+    :class:`openmc.Union`, and :class:`openmc.Complement`. Each of those
+    respective classes are typically not instantiated directly but rather are
+    created through operators of the Surface and Region classes.
 
     """
 
@@ -27,6 +28,10 @@ class Region(object):
     def __invert__(self):
         return Complement(self)
 
+    @abstractmethod
+    def __contains__(self, point):
+        return False
+
     @abstractmethod
     def __str__(self):
         return ''
@@ -198,14 +203,14 @@ class Region(object):
 
 
 class Intersection(Region):
-    """Intersection of two or more regions.
+    r"""Intersection of two or more regions.
 
     Instances of Intersection are generally created via the __and__ operator
-    applied to two instances of Region. This is illustrated in the following
-    example:
+    applied to two instances of :class:`openmc.Region`. This is illustrated in
+    the following example:
 
-    >>> equator = openmc.surface.ZPlane(z0=0.0)
-    >>> earth = openmc.surface.Sphere(R=637.1e6)
+    >>> equator = openmc.ZPlane(z0=0.0)
+    >>> earth = openmc.Sphere(R=637.1e6)
     >>> northern_hemisphere = -earth & +equator
     >>> southern_hemisphere = -earth & -equator
     >>> type(northern_hemisphere)
@@ -213,12 +218,12 @@ class Intersection(Region):
 
     Parameters
     ----------
-    *nodes
+    \*nodes
         Regions to take the intersection of
 
     Attributes
     ----------
-    nodes : tuple of Region
+    nodes : list of openmc.Region
         Regions to take the intersection of
     bounding_box : tuple of numpy.array
         Lower-left and upper-right coordinates of an axis-aligned bounding box
@@ -228,6 +233,26 @@ class Intersection(Region):
     def __init__(self, *nodes):
         self.nodes = list(nodes)
 
+    def __iter__(self):
+        for n in self.nodes:
+            yield n
+
+    def __contains__(self, point):
+        """Check whether a point is contained in the region.
+
+        Parameters
+        ----------
+        point : 3-tuple of float
+            Cartesian coordinates, :math:`(x',y',z')`, of the point
+
+        Returns
+        -------
+        bool
+            Whether the point is in the region
+
+        """
+        return all(point in n for n in self.nodes)
+
     def __str__(self):
         return '(' + ' '.join(map(str, self.nodes)) + ')'
 
@@ -252,24 +277,25 @@ class Intersection(Region):
 
 
 class Union(Region):
-    """Union of two or more regions.
+    r"""Union of two or more regions.
 
     Instances of Union are generally created via the __or__ operator applied to
-    two instances of Region. This is illustrated in the following example:
+    two instances of :class:`openmc.Region`. This is illustrated in the
+    following example:
 
-    >>> s1 = openmc.surface.ZPlane(z0=0.0)
-    >>> s2 = openmc.surface.Sphere(R=637.1e6)
+    >>> s1 = openmc.ZPlane(z0=0.0)
+    >>> s2 = openmc.Sphere(R=637.1e6)
     >>> type(-s2 | +s1)
     <class 'openmc.region.Union'>
 
     Parameters
     ----------
-    *nodes
+    \*nodes
         Regions to take the union of
 
     Attributes
     ----------
-    nodes : tuple of Region
+    nodes : tuple of openmc.Region
         Regions to take the union of
     bounding_box : tuple of numpy.array
         Lower-left and upper-right coordinates of an axis-aligned bounding box
@@ -279,6 +305,26 @@ class Union(Region):
     def __init__(self, *nodes):
         self.nodes = list(nodes)
 
+    def __iter__(self):
+        for n in self.nodes:
+            yield n
+
+    def __contains__(self, point):
+        """Check whether a point is contained in the region.
+
+        Parameters
+        ----------
+        point : 3-tuple of float
+            Cartesian coordinates, :math:`(x',y',z')`, of the point
+
+        Returns
+        -------
+        bool
+            Whether the point is in the region
+
+        """
+        return any(point in n for n in self.nodes)
+
     def __str__(self):
         return '(' + ' | '.join(map(str, self.nodes)) + ')'
 
@@ -305,13 +351,13 @@ class Union(Region):
 class Complement(Region):
     """Complement of a region.
 
-    The Complement of an existing Region can be created by using the __invert__
-    operator as the following example demonstrates:
+    The Complement of an existing :class:`openmc.Region` can be created by using
+    the __invert__ operator as the following example demonstrates:
 
-    >>> xl = openmc.surface.XPlane(x0=-10.0)
-    >>> xr = openmc.surface.XPlane(x0=10.0)
-    >>> yl = openmc.surface.YPlane(y0=-10.0)
-    >>> yr = openmc.surface.YPlane(y0=10.0)
+    >>> xl = openmc.XPlane(x0=-10.0)
+    >>> xr = openmc.XPlane(x0=10.0)
+    >>> yl = openmc.YPlane(y0=-10.0)
+    >>> yr = openmc.YPlane(y0=10.0)
     >>> inside_box = +xl & -xr & +yl & -yl
     >>> outside_box = ~inside_box
     >>> type(outside_box)
@@ -319,12 +365,12 @@ class Complement(Region):
 
     Parameters
     ----------
-    node : Region
+    node : openmc.Region
         Region to take the complement of
 
     Attributes
     ----------
-    node : Region
+    node : openmc.Region
         Regions to take the complement of
     bounding_box : tuple of numpy.array
         Lower-left and upper-right coordinates of an axis-aligned bounding box
@@ -334,6 +380,22 @@ class Complement(Region):
     def __init__(self, node):
         self.node = node
 
+    def __contains__(self, point):
+        """Check whether a point is contained in the region.
+
+        Parameters
+        ----------
+        point : 3-tuple of float
+            Cartesian coordinates, :math:`(x',y',z')`, of the point
+
+        Returns
+        -------
+        bool
+            Whether the point is in the region
+
+        """
+        return point not in self.node
+
     def __str__(self):
         return '~' + str(self.node)
 
diff --git a/openmc/settings.py b/openmc/settings.py
index 9eb54b9eb6..1738beb0d2 100644
--- a/openmc/settings.py
+++ b/openmc/settings.py
@@ -6,15 +6,17 @@ import sys
 
 import numpy as np
 
-from openmc.clean_xml import *
+from openmc.clean_xml import clean_xml_indentation
 from openmc.checkvalue import (check_type, check_length, check_value,
                                check_greater_than, check_less_than)
+from openmc import Nuclide
+from openmc.source import Source
 
 if sys.version_info[0] >= 3:
     basestring = str
 
 
-class SettingsFile(object):
+class Settings(object):
     """Settings file used for an OpenMC simulation. Corresponds directly to the
     settings.xml input file.
 
@@ -36,8 +38,8 @@ class SettingsFile(object):
         type are 'variance', 'std_dev', and 'rel_err'. The threshold value
         should be a float indicating the variance, standard deviation, or
         relative error used.
-    source_file : str
-        Path to a source file
+    source : Iterable of openmc.Source
+        Distribution of source sites in space, angle, and energy
     output : dict
         Dictionary indicating what files to output. Valid keys are 'summary',
         'cross_sections', 'tallies', and 'distribmats'. Values corresponding to
@@ -68,12 +70,22 @@ class SettingsFile(object):
         deviation.
     cross_sections : str
         Indicates the path to an XML cross section listing file (usually named
-        cross_sections.xml). If it is not set, the :envvar:`CROSS_SECTIONS`
-        environment variable will be used to find the path to the XML cross
-        section listing.
-    energy_grid : str
-        Set the method used to search energy grids. Acceptable values are
-        'nuclide', 'logarithm', and 'material-union'.
+        cross_sections.xml). If it is not set, the
+        :envvar:`OPENMC_CROSS_SECTIONS` environment variable will be used for
+        continuous-energy calculations and
+        :envvar:`OPENMC_MG_CROSS_SECTIONS` will be used for multi-group
+        calculations to find the path to the XML cross section file.
+    multipole_library : str
+        Indicates the path to a directory containing a windowed multipole
+        cross section library. If it is not set, the
+        :envvar:`OPENMC_MULTIPOLE_LIBRARY` environment variable will be used. A
+        multipole library is optional.
+    energy_grid : {'nuclide', 'logarithm', 'material-union'}
+        Set the method used to search energy grids.
+    energy_mode : {'continuous-energy', 'multi-group'}
+        Set whether the calculation should be continuous-energy or multi-group.
+    max_order : int
+        Maximum scattering order to apply globally when in multi-group mode.
     ptables : bool
         Determine whether probability tables are used.
     run_cmfd : bool
@@ -120,6 +132,11 @@ class SettingsFile(object):
         Coordinates of the lower-left point of the UFS mesh
     ufs_upper_right : tuple or list
         Coordinates of the upper-right point of the UFS mesh
+    use_windowed_multipole : bool
+        Whether or not windowed multipole can be used to evaluate resolved
+        resonance cross sections.
+    resonance_scattering : ResonanceScattering or iterable of ResonanceScattering
+        The elastic scattering model to use for resonant isotopes
 
     """
 
@@ -133,18 +150,16 @@ class SettingsFile(object):
         self._particles = None
         self._keff_trigger = None
 
+        # Energy mode subelement
+        self._energy_mode = None
+        self._max_order = None
+
         # Source subelement
-        self._source_subelement = None
-        self._source_file = None
-        self._source_space_type = None
-        self._source_space_params = None
-        self._source_angle_type = None
-        self._source_angle_params = None
-        self._source_energy_type = None
-        self._source_energy_params = None
+        self._source = None
 
         self._confidence_intervals = None
         self._cross_sections = None
+        self._multipole_library = None
         self._energy_grid = None
         self._ptables = None
         self._run_cmfd = None
@@ -202,6 +217,9 @@ class SettingsFile(object):
         self._settings_file = ET.Element("settings")
         self._run_mode_subelement = None
         self._source_element = None
+        self._multipole_active = None
+
+        self._resonance_scattering = None
 
     @property
     def run_mode(self):
@@ -228,32 +246,16 @@ class SettingsFile(object):
         return self._keff_trigger
 
     @property
-    def source_file(self):
-        return self._source_file
+    def energy_mode(self):
+        return self._energy_mode
 
     @property
-    def source_space_type(self):
-        return self._source_space_type
+    def max_order(self):
+        return self._max_order
 
     @property
-    def source_space_params(self):
-        return self._source_space_params
-
-    @property
-    def source_angle_type(self):
-        return self._source_angle_type
-
-    @property
-    def source_angle_params(self):
-        return self._source_angle_params
-
-    @property
-    def source_energy_type(self):
-        return self._source_energy_type
-
-    @property
-    def source_energy_params(self):
-        return self._source_energy_params
+    def source(self):
+        return self._source
 
     @property
     def confidence_intervals(self):
@@ -263,6 +265,10 @@ class SettingsFile(object):
     def cross_sections(self):
         return self._cross_sections
 
+    @property
+    def multipole_library(self):
+        return self._multipole_library
+
     @property
     def energy_grid(self):
         return self._energy_grid
@@ -305,7 +311,7 @@ class SettingsFile(object):
 
     @property
     def trigger_batch_interval(self):
-        return self._batch_interval
+        return self._trigger_batch_interval
 
     @property
     def output(self):
@@ -407,9 +413,17 @@ class SettingsFile(object):
     def dd_count_interactions(self):
         return self._dd_count_interactions
 
+    @property
+    def use_windowed_multipole(self):
+        return self._multipole_active
+
+    @property
+    def resonance_scattering(self):
+        return self._resonance_scattering
+
     @run_mode.setter
     def run_mode(self, run_mode):
-        if 'run_mode' not in ['eigenvalue', 'fixed source']:
+        if run_mode not in ['eigenvalue', 'fixed source']:
             msg = 'Unable to set run mode to "{0}". Only "eigenvalue" ' \
                   'and "fixed source" are supported."'.format(run_mode)
             raise ValueError(msg)
@@ -468,124 +482,25 @@ class SettingsFile(object):
 
         self._keff_trigger = keff_trigger
 
-    @source_file.setter
-    def source_file(self, source_file):
-        check_type('source file', source_file, basestring)
-        self._source_file = source_file
+    @energy_mode.setter
+    def energy_mode(self, energy_mode):
+        check_value('energy mode', energy_mode,
+                    ['continuous-energy', 'multi-group'])
+        self._energy_mode = energy_mode
 
-    def set_source_space(self, stype, params):
-        """Defined the spatial bounds of the external/starting source.
+    @max_order.setter
+    def max_order(self, max_order):
+        check_type('maximum scattering order', max_order, Integral)
+        check_greater_than('maximum scattering order', max_order, 0, True)
+        self._max_order = max_order
 
-        Parameters
-        ----------
-        stype : str
-            The type of spatial distribution. Valid options are "box",
-            "fission", and "point". A "box" spatial distribution has coordinates
-            sampled uniformly in a parallelepiped. A "fission" spatial
-            distribution samples locations from a "box" distribution but only
-            locations in fissionable materials are accepted. A "point" spatial
-            distribution has coordinates specified by a triplet.
-        params : Iterable of float
-            For a "box" or "fission" spatial distribution, ``params`` should be
-            given as six real numbers, the first three of which specify the
-            lower-left corner of a parallelepiped and the last three of which
-            specify the upper-right corner. Source sites are sampled uniformly
-            through that parallelepiped.
-
-            For a "point" spatial distribution, ``params`` should be given as
-            three real numbers which specify the (x,y,z) location of an
-            isotropic point source
-
-        """
-
-        check_type('source space type', stype, basestring)
-        check_value('source space type', stype, ['box', 'fission', 'point'])
-        check_type('source space parameters', params, Iterable, Real)
-        if stype in ['box', 'fission']:
-            check_length('source space parameters for a '
-                         'box/fission distribution', params, 6)
-        elif stype == 'point':
-            check_length('source space parameters for a point source',
-                         params, 3)
-
-        self._source_space_type = stype
-        self._source_space_params = params
-
-    def set_source_angle(self, stype, params=[]):
-        """Defined the angular distribution of the external/starting source.
-
-        Parameters
-        ----------
-        stype : str
-            The type of angular distribution. Valid options are "isotropic" and
-            "monodirectional". The angle of the particle emitted from a source
-            site is isotropic if the "isotropic" option is given. The angle of
-            the particle emitted from a source site is the direction specified
-            in ``params`` if the "monodirectional" option is given.
-        params : Iterable of float
-            For an "isotropic" angular distribution, ``params`` should not
-            be specified.
-
-            For a "monodirectional" angular distribution, ``params`` should
-            be given as three floats which specify the angular cosines
-            with respect to each axis.
-
-        """
-
-        check_type('source angle type', stype, basestring)
-        check_value('source angle type', stype,
-                    ['isotropic', 'monodirectional'])
-        check_type('source angle parameters', params, Iterable, Real)
-        if stype == 'isotropic' and params is not None:
-            msg = 'Unable to set source angle parameters since they are not ' \
-                  'it is not supported for isotropic type sources'
-            raise ValueError(msg)
-        elif stype == 'monodirectional':
-            check_length('source angle parameters for a monodirectional '
-                         'source', params, 3)
-
-        self._source_angle_type = stype
-        self._source_angle_params = params
-
-    def set_source_energy(self, stype, params=[]):
-        """Defined the energy distribution of the external/starting source.
-
-        Parameters
-        ----------
-        stype : str
-            The type of energy distribution. Valid options are "monoenergetic",
-            "watt", and "maxwell". The "monoenergetic" option produces source
-            sites at a single energy. The "watt" option produces source sites
-            whose energy is sampled from a Watt fission spectrum. The "maxwell"
-            option produce source sites whose energy is sampled from a Maxwell
-            fission spectrum.
-        params : Iterable of float
-            For a "monoenergetic" energy distribution, ``params`` should be
-            given as the energy in MeV of the source sites.
-
-            For a "watt" energy distribution, ``params`` should be given as two
-            real numbers :math:`a` and :math:`b` that parameterize the
-            distribution :math:`p(E) dE = c e^{-E/a} \sinh \sqrt{b \, E} dE`.
-
-            For a "maxwell" energy distribution, ``params`` should be given as
-            one real number :math:`a` that parameterizes the distribution
-            :math:`p(E) dE = c E e^{-E/a} dE`.
-
-        """
-
-        check_type('source energy type', stype, basestring)
-        check_value('source energy type', stype,
-                    ['monoenergetic', 'watt', 'maxwell'])
-        check_type('source energy parameters', params, Iterable, Real)
-        if stype in ['monoenergetic', 'maxwell']:
-            check_length('source energy parameters for a monoenergetic '
-                         'or Maxwell source', params, 1)
-        elif stype == 'watt':
-            check_length('source energy parameters for a Watt source',
-                         params, 2)
-
-        self._source_energy_type = stype
-        self._source_energy_params = params
+    @source.setter
+    def source(self, source):
+        if isinstance(source, Source):
+            self._source = [source,]
+        else:
+            check_type('source distribution', source, Iterable, Source)
+            self._source = source
 
     @output.setter
     def output(self, output):
@@ -669,6 +584,11 @@ class SettingsFile(object):
         check_type('cross sections', cross_sections, basestring)
         self._cross_sections = cross_sections
 
+    @multipole_library.setter
+    def multipole_library(self, multipole_library):
+        check_type('cross sections', multipole_library, basestring)
+        self._multipole_library = multipole_library
+
     @energy_grid.setter
     def energy_grid(self, energy_grid):
         check_value('energy grid', energy_grid,
@@ -877,6 +797,21 @@ class SettingsFile(object):
 
         self._dd_count_interactions = interactions
 
+    @use_windowed_multipole.setter
+    def use_windowed_multipole(self, active):
+        check_type('use_windowed_multipole', active, bool)
+        self._multipole_active = active
+
+    @resonance_scattering.setter
+    def resonance_scattering(self, res):
+        if isinstance(res, Iterable):
+            check_type('resonance_scattering', res, Iterable,
+                       ResonanceScattering)
+            self._resonance_scattering = res
+        else:
+            check_type('resonance_scattering', res, ResonanceScattering)
+            self._resonance_scattering = [res]
+
     def _create_run_mode_subelement(self):
 
         if self.run_mode == 'eigenvalue':
@@ -923,46 +858,20 @@ class SettingsFile(object):
                 subelement = ET.SubElement(element, key)
                 subelement.text = str(self._keff_trigger[key]).lower()
 
+    def _create_energy_mode_subelement(self):
+        if self._energy_mode is not None:
+            element = ET.SubElement(self._settings_file, "energy_mode")
+            element.text = str(self._energy_mode)
+
+    def _create_max_order_subelement(self):
+        if self._max_order is not None:
+            element = ET.SubElement(self._settings_file, "max_order")
+            element.text = str(self._max_order)
+
     def _create_source_subelement(self):
-        self._create_source_space_subelement()
-        self._create_source_energy_subelement()
-        self._create_source_angle_subelement()
-
-    def _create_source_space_subelement(self):
-        if self._source_space_params is not None:
-            if self._source_subelement is None:
-                self._source_subelement = ET.SubElement(self._settings_file,
-                                                        "source")
-
-            element = ET.SubElement(self._source_subelement, "space")
-            element.set("type", self._source_space_type)
-
-            subelement = ET.SubElement(element, "parameters")
-            subelement.text = ' '.join(map(str, self._source_space_params))
-
-    def _create_source_angle_subelement(self):
-        if self._source_angle_params is not None:
-            if self._source_subelement is None:
-                self._source_subelement = ET.SubElement(self._settings_file,
-                                                        "source")
-
-            element = ET.SubElement(self._source_subelement, "angle")
-            element.set("type", self._source_angle_type)
-
-            subelement = ET.SubElement(element, "parameters")
-            subelement.text = ' '.join(map(str, self._source_angle_params))
-
-    def _create_source_energy_subelement(self):
-        if self._source_energy_params is not None:
-            if self._source_subelement is None:
-                self._source_subelement = ET.SubElement(self._settings_file,
-                                                        "source")
-
-            element = ET.SubElement(self._source_subelement, "energy")
-            element.set("type", self._source_energy_type)
-
-            subelement = ET.SubElement(element, "parameters")
-            subelement.text = ' '.join(map(str, self._source_energy_params))
+        if self.source is not None:
+            for source in self.source:
+                self._settings_file.append(source.to_xml())
 
     def _create_output_subelement(self):
         if self._output is not None:
@@ -1012,16 +921,19 @@ class SettingsFile(object):
 
         # Separate subelement
         if self._sourcepoint_separate is not None:
+            element = ET.SubElement(self._settings_file, "source_point")
             subelement = ET.SubElement(element, "separate")
             subelement.text = str(self._sourcepoint_separate).lower()
 
         # Write subelement
         if self._sourcepoint_write is not None:
+            element = ET.SubElement(self._settings_file, "source_point")
             subelement = ET.SubElement(element, "write")
             subelement.text = str(self._sourcepoint_write).lower()
 
         # Overwrite latest subelement
         if self._sourcepoint_overwrite is not None:
+            element = ET.SubElement(self._settings_file, "source_point")
             subelement = ET.SubElement(element, "overwrite_latest")
             subelement.text = str(self._sourcepoint_overwrite).lower()
 
@@ -1035,6 +947,11 @@ class SettingsFile(object):
             element = ET.SubElement(self._settings_file, "cross_sections")
             element.text = str(self._cross_sections)
 
+    def _create_multipole_library_subelement(self):
+        if self._multipole_library is not None:
+            element = ET.SubElement(self._settings_file, "multipole_library")
+            element.text = str(self._multipole_library)
+
     def _create_energy_grid_subelement(self):
         if self._energy_grid is not None:
             element = ET.SubElement(self._settings_file, "energy_grid")
@@ -1094,7 +1011,7 @@ class SettingsFile(object):
         if self._trigger_active is not None:
             if self._trigger_subelement is None:
                 self._trigger_subelement = ET.SubElement(self._settings_file,
-                                                      "trigger")
+                                                         "trigger")
 
             element = ET.SubElement(self._trigger_subelement, "active")
             element.text = str(self._trigger_active).lower()
@@ -1103,7 +1020,7 @@ class SettingsFile(object):
         if self._trigger_max_batches is not None:
             if self._trigger_subelement is None:
                 self._trigger_subelement = ET.SubElement(self._settings_file,
-                                                      "trigger")
+                                                         "trigger")
 
             element = ET.SubElement(self._trigger_subelement, "max_batches")
             element.text = str(self._trigger_max_batches)
@@ -1112,7 +1029,7 @@ class SettingsFile(object):
         if self._trigger_batch_interval is not None:
             if self._trigger_subelement is None:
                 self._trigger_subelement = ET.SubElement(self._settings_file,
-                                                      "trigger")
+                                                         "trigger")
 
             element = ET.SubElement(self._trigger_subelement, "batch_interval")
             element.text = str(self._trigger_batch_interval)
@@ -1144,7 +1061,7 @@ class SettingsFile(object):
             element = ET.SubElement(self._settings_file, "uniform_fs")
 
             subelement = ET.SubElement(element, "dimension")
-            subelement.text = str(self._ufs_dimension)
+            subelement.text = ' '.join(map(str, self._ufs_dimension))
 
             subelement = ET.SubElement(element, "lower_left")
             subelement.text = ' '.join(map(str, self._ufs_lower_left))
@@ -1179,6 +1096,25 @@ class SettingsFile(object):
             subelement = ET.SubElement(element, "count_interactions")
             subelement.text = str(self._dd_count_interactions).lower()
 
+    def _create_use_multipole_subelement(self):
+        if self._multipole_active is not None:
+            element = ET.SubElement(self._settings_file,
+                                    "use_windowed_multipole")
+            element.text = str(self._multipole_active)
+
+    def _create_resonance_scattering_element(self):
+        if self.resonance_scattering is None:
+            return
+
+        element = ET.SubElement(self._settings_file, "resonance_scattering")
+
+        for r in self.resonance_scattering:
+            if r.nuclide.name != r.nuclide_0K.name:
+                raise ValueError("The nuclide and nuclide_0K attributes of "
+                                 "a ResonantScattering object must have "
+                                 "identical names.")
+            r.create_xml_subelement(element)
+
     def export_to_xml(self):
         """Create a settings.xml file that can be used for a simulation.
 
@@ -1198,7 +1134,10 @@ class SettingsFile(object):
         self._create_sourcepoint_subelement()
         self._create_confidence_intervals()
         self._create_cross_sections_subelement()
+        self._create_multipole_library_subelement()
         self._create_energy_grid_subelement()
+        self._create_energy_mode_subelement()
+        self._create_max_order_subelement()
         self._create_ptables_subelement()
         self._create_run_cmfd_subelement()
         self._create_seed_subelement()
@@ -1213,6 +1152,8 @@ class SettingsFile(object):
         self._create_track_subelement()
         self._create_ufs_subelement()
         self._create_dd_subelement()
+        self._create_use_multipole_subelement()
+        self._create_resonance_scattering_element()
 
         # Clean the indentation in the file to be user-readable
         clean_xml_indentation(self._settings_file)
@@ -1220,4 +1161,107 @@ class SettingsFile(object):
         # Write the XML Tree to the settings.xml file
         tree = ET.ElementTree(self._settings_file)
         tree.write("settings.xml", xml_declaration=True,
-                             encoding='utf-8', method="xml")
+                   encoding='utf-8', method="xml")
+
+
+class ResonanceScattering(object):
+    """Specification of the elastic scattering model for resonant isotopes
+
+    Attributes
+    ----------
+    nuclide : openmc.Nuclide
+        The nuclide affected by this resonance scattering treatment.
+    nuclide_0K : openmc.Nuclide
+        This should be the same isotope as the nuclide attribute above, but it
+        should have an xs attribute that identifies 0 Kelvin data.
+    method : str
+        The method used to sample outgoing scattering energies.  Valid options
+        are 'ARES', 'CXS' (constant cross section), 'DBRC' (Doppler broadening
+        rejection correction), and 'WCM' (weight correction method).
+    E_min : float
+        The minimum energy above which the specified method is applied.  By
+        default, CXS will be used below E_min.
+    E_max : float
+        The maximum energy below which the specified method is applied.  By
+        default, the asymptotic target-at-rest model is applied  above E_max.
+
+    """
+
+    def __init__(self):
+        self._nuclide = None
+        self._nuclide_0K = None
+        self._method = None
+        self._E_min = None
+        self._E_max = None
+
+    @property
+    def nuclide(self):
+        return self._nuclide
+
+    @property
+    def nuclide_0K(self):
+        return self._nuclide_0K
+
+    @property
+    def method(self):
+        return self._method
+
+    @property
+    def E_min(self):
+        return self._E_min
+
+    @property
+    def E_max(self):
+        return self._E_max
+
+    @nuclide.setter
+    def nuclide(self, nuc):
+        check_type('nuclide', nuc, Nuclide)
+        if nuc.zaid is None:
+            raise ValueError("The nuclide must have an explicitly defined "
+                             "zaid attribute.")
+        self._nuclide = nuc
+
+    @nuclide_0K.setter
+    def nuclide_0K(self, nuc):
+        check_type('nuclide_0K', nuc, Nuclide)
+        if nuc.zaid is None:
+            raise ValueError("The nuclide_0K must have an explicitly defined "
+                             "zaid attribute.")
+        self._nuclide_0K = nuc
+
+    @method.setter
+    def method(self, m):
+        check_value('method', m, ('ARES', 'CXS', 'DBRC', 'WCM'))
+        self._method = m
+
+    @E_min.setter
+    def E_min(self, E):
+        check_type('E_min', E, Real)
+        check_greater_than('E_min', E, 0, True)
+        self._E_min = E
+
+    @E_max.setter
+    def E_max(self, E):
+        check_type('E_max', E, Real)
+        check_greater_than('E_max', E, 0, True)
+        self._E_max = E
+
+    def create_xml_subelement(self, xml_element):
+        scatterer = ET.SubElement(xml_element, "scatterer")
+        subelement = ET.SubElement(scatterer, 'nuclide')
+        subelement.text = self.nuclide.name
+        if self.method is not None:
+            subelement = ET.SubElement(scatterer, 'method')
+            subelement.text = self.method
+        subelement = ET.SubElement(scatterer, 'xs_label')
+        subelement.text = str(self.nuclide.zaid) + '.' + str(self.nuclide.xs)
+        subelement = ET.SubElement(scatterer, 'xs_label_0K')
+        subelement.text = str(self.nuclide_0K.zaid) + '.' \
+             + str(self.nuclide_0K.xs)
+        if self.E_min is not None:
+            subelement = ET.SubElement(scatterer, 'E_min')
+            subelement.text = str(self.E_min)
+        if self.E_max is not None:
+            subelement = ET.SubElement(scatterer, 'E_max')
+            subelement.text = str(self.E_max)
diff --git a/openmc/source.py b/openmc/source.py
new file mode 100644
index 0000000000..7e8a68accf
--- /dev/null
+++ b/openmc/source.py
@@ -0,0 +1,125 @@
+from numbers import Real
+import sys
+from xml.etree import ElementTree as ET
+
+from openmc.stats.univariate import Univariate
+from openmc.stats.multivariate import UnitSphere, Spatial
+import openmc.checkvalue as cv
+
+if sys.version_info[0] >= 3:
+    basestring = str
+
+
+class Source(object):
+    """Distribution of phase space coordinates for source sites.
+
+    Parameters
+    ----------
+    space : openmc.stats.Spatial, optional
+        Spatial distribution of source sites
+    angle : openmc.stats.UnitSphere, optional
+        Angular distribution of source sites
+    energy : openmc.stats.Univariate, optional
+        Energy distribution of source sites
+    filename : str, optional
+        Source file from which sites should be sampled
+    strength : Real
+        Strength of the source
+
+    Attributes
+    ----------
+    space : openmc.stats.Spatial or None
+        Spatial distribution of source sites
+    angle : openmc.stats.UnitSphere or None
+        Angular distribution of source sites
+    energy : openmc.stats.Univariate or None
+        Energy distribution of source sites
+    file : str or None
+        Source file from which sites should be sampled
+    strength : Real
+        Strength of the source
+
+    """
+
+    def __init__(self, space=None, angle=None, energy=None, filename=None, strength=1.0):
+        self._space = None
+        self._angle = None
+        self._energy = None
+        self._file = None
+
+        if space is not None:
+            self.space = space
+        if angle is not None:
+            self.angle = angle
+        if energy is not None:
+            self.energy = energy
+        if filename is not None:
+            self.file = filename
+        self.strength = strength
+
+    @property
+    def file(self):
+        return self._file
+
+    @property
+    def space(self):
+        return self._space
+
+    @property
+    def angle(self):
+        return self._angle
+
+    @property
+    def energy(self):
+        return self._energy
+
+    @property
+    def strength(self):
+        return self._strength
+
+    @file.setter
+    def file(self, filename):
+        cv.check_type('source file', filename, basestring)
+        self._file = filename
+
+    @space.setter
+    def space(self, space):
+        cv.check_type('spatial distribution', space, Spatial)
+        self._space = space
+
+    @angle.setter
+    def angle(self, angle):
+        cv.check_type('angular distribution', angle, UnitSphere)
+        self._angle = angle
+
+    @energy.setter
+    def energy(self, energy):
+        cv.check_type('energy distribution', energy, Univariate)
+        self._energy = energy
+
+    @strength.setter
+    def strength(self, strength):
+        cv.check_type('source strength', strength, Real)
+        cv.check_greater_than('source strength', strength, 0.0, True)
+        self._strength = strength
+
+    def to_xml(self):
+        """Return XML representation of the source
+
+        Returns
+        -------
+        element : xml.etree.ElementTree.Element
+            XML element containing source data
+
+        """
+        element = ET.Element("source")
+        element.set("strength", str(self.strength))
+        if self.file is not None:
+            element.set("file", self.file)
+        if self.space is not None:
+            element.append(self.space.to_xml())
+        if self.angle is not None:
+            element.append(self.angle.to_xml())
+        if self.energy is not None:
+            element.append(self.energy.to_xml('energy'))
+        return element
diff --git a/openmc/statepoint.py b/openmc/statepoint.py
index 2edf9badd4..6337746650 100644
--- a/openmc/statepoint.py
+++ b/openmc/statepoint.py
@@ -1,93 +1,116 @@
 import sys
 import re
+import os
+import warnings
+
 import numpy as np
 
 import openmc
+import openmc.checkvalue as cv
 
 if sys.version > '3':
     long = int
 
 
 class StatePoint(object):
-    """State information on a simulation at a certain point in time (at the end of a
-    given batch). Statepoints can be used to analyze tally results as well as
-    restart a simulation.
+    """State information on a simulation at a certain point in time (at the end
+    of a given batch). Statepoints can be used to analyze tally results as well
+    as restart a simulation.
+
+    Parameters
+    ----------
+    filename : str
+        Path to file to load
+    autolink : bool, optional
+        Whether to automatically link in metadata from a summary.h5
+        file. Defaults to True.
 
     Attributes
     ----------
     cmfd_on : bool
         Indicate whether CMFD is active
-    cmfd_balance : ndarray
+    cmfd_balance : numpy.ndarray
         Residual neutron balance for each batch
     cmfd_dominance
         Dominance ratio for each batch
-    cmfd_entropy : ndarray
+    cmfd_entropy : numpy.ndarray
         Shannon entropy of CMFD fission source for each batch
-    cmfd_indices : ndarray
+    cmfd_indices : numpy.ndarray
         Number of CMFD mesh cells and energy groups. The first three indices
         correspond to the x-, y-, and z- spatial directions and the fourth index
         is the number of energy groups.
-    cmfd_srccmp : ndarray
+    cmfd_srccmp : numpy.ndarray
         Root-mean-square difference between OpenMC and CMFD fission source for
         each batch
-    cmfd_src : ndarray
+    cmfd_src : numpy.ndarray
         CMFD fission source distribution over all mesh cells and energy groups.
-    current_batch : Integral
+    current_batch : int
         Number of batches simulated
     date_and_time : str
         Date and time when simulation began
-    entropy : ndarray
+    entropy : numpy.ndarray
         Shannon entropy of fission source at each batch
     gen_per_batch : Integral
         Number of fission generations per batch
-    global_tallies : ndarray of compound datatype
+    global_tallies : numpy.ndarray of compound datatype
         Global tallies for k-effective estimates and leakage. The compound
         datatype has fields 'name', 'sum', 'sum_sq', 'mean', and 'std_dev'.
     k_combined : list
         Combined estimator for k-effective and its uncertainty
-    k_col_abs : Real
+    k_col_abs : float
         Cross-product of collision and absorption estimates of k-effective
-    k_col_tra : Real
+    k_col_tra : float
         Cross-product of collision and tracklength estimates of k-effective
-    k_abs_tra : Real
+    k_abs_tra : float
         Cross-product of absorption and tracklength estimates of k-effective
-    k_generation : ndarray
+    k_generation : numpy.ndarray
         Estimate of k-effective for each batch/generation
     meshes : dict
         Dictionary whose keys are mesh IDs and whose values are Mesh objects
-    n_batches : Integral
+    n_batches : int
         Number of batches
-    n_inactive : Integral
+    n_inactive : int
         Number of inactive batches
-    n_particles : Integral
+    n_particles : int
         Number of particles per generation
-    n_realizations : Integral
+    n_realizations : int
         Number of tally realizations
     path : str
         Working directory for simulation
     run_mode : str
         Simulation run mode, e.g. 'k-eigenvalue'
-    seed : Integral
+    runtime : dict
+        Dictionary whose keys are strings describing various runtime metrics
+        and whose values are time values in seconds.
+    seed : int
         Pseudorandom number generator seed
-    source : ndarray of compound datatype
+    source : numpy.ndarray of compound datatype
         Array of source sites. The compound datatype has fields 'wgt', 'xyz',
         'uvw', and 'E' corresponding to the weight, position, direction, and
         energy of the source site.
     source_present : bool
         Indicate whether source sites are present
+    sparse : bool
+        Whether or not the tallies uses SciPy's LIL sparse matrix format for
+        compressed data storage
     tallies : dict
         Dictionary whose keys are tally IDs and whose values are Tally objects
     tallies_present : bool
         Indicate whether user-defined tallies are present
     version: tuple of Integral
         Version of OpenMC
-    summary : None or openmc.summary.Summary
+    summary : None or openmc.Summary
         A summary object if the statepoint has been linked with a summary file
 
     """
 
-    def __init__(self, filename):
+    def __init__(self, filename, autolink=True):
         import h5py
+        if h5py.__version__ == '2.6.0':
+            raise ImportError("h5py 2.6.0 has a known bug which makes it "
+                              "incompatible with OpenMC's HDF5 files. "
+                              "Please switch to a different version.")
+
         self._f = h5py.File(filename, 'r')
 
         # Ensure filetype and revision are correct
@@ -97,19 +120,28 @@ class StatePoint(object):
                 raise IOError('{} is not a statepoint file.'.format(filename))
         except AttributeError:
             raise IOError('Could not read statepoint file. This most likely '
-                          'means the statepoint file was produced by a different '
-                          'version of OpenMC than the one you are using.')
-        if self._f['revision'].value != 14:
+                          'means the statepoint file was produced by a '
+                          'different version of OpenMC than the one you are '
+                          'using.')
+        if self._f['revision'].value != 15:
             raise IOError('Statepoint file has a file revision of {} '
                           'which is not consistent with the revision this '
                           'version of OpenMC expects ({}).'.format(
-                              self._f['revision'].value, 14))
+                              self._f['revision'].value, 15))
 
         # Set flags for what data has been read
         self._meshes_read = False
         self._tallies_read = False
-        self._summary = False
+        self._summary = None
         self._global_tallies = None
+        self._sparse = False
+
+        # Automatically link in a summary file if one exists
+        if autolink:
+            path_summary = os.path.join(os.path.dirname(filename), 'summary.h5')
+            if os.path.exists(path_summary):
+                su = openmc.Summary(path_summary)
+                self.link_with_summary(su)
 
     def close(self):
         self._f.close()
@@ -306,6 +338,11 @@ class StatePoint(object):
     def run_mode(self):
         return self._f['run_mode'].value.decode()
 
+    @property
+    def runtime(self):
+        return {name: dataset.value
+                for name, dataset in self._f['runtime'].items()}
+
     @property
     def seed(self):
         return self._f['seed'].value
@@ -318,6 +355,10 @@ class StatePoint(object):
     def source_present(self):
         return self._f['source_present'].value > 0
 
+    @property
+    def sparse(self):
+        return self._sparse
+
     @property
     def tallies(self):
         if not self._tallies_read:
@@ -340,7 +381,8 @@ class StatePoint(object):
             for tally_key in tally_keys:
 
                 # Read the Tally size specifications
-                n_realizations = self._f['{0}{1}/n_realizations'.format(base, tally_key)].value
+                n_realizations = \
+                    self._f['{0}{1}/n_realizations'.format(base, tally_key)].value
 
                 # Create Tally object and assign basic properties
                 tally = openmc.Tally(tally_id=tally_key)
@@ -350,7 +392,8 @@ class StatePoint(object):
                 tally.num_realizations = n_realizations
 
                 # Read the number of Filters
-                n_filters = self._f['{0}{1}/n_filters'.format(base, tally_key)].value
+                n_filters = \
+                    self._f['{0}{1}/n_filters'.format(base, tally_key)].value
 
                 subbase = '{0}{1}/filter '.format(base, tally_key)
 
@@ -358,10 +401,8 @@ class StatePoint(object):
                 for j in range(1, n_filters+1):
 
                     # Read the Filter type
-                    filter_type = self._f['{0}{1}/type'.format(subbase, j)].value.decode()
-
-                    # Read the Filter offset
-                    offset = self._f['{0}{1}/offset'.format(subbase, j)].value
+                    filter_type = \
+                        self._f['{0}{1}/type'.format(subbase, j)].value.decode()
 
                     n_bins = self._f['{0}{1}/n_bins'.format(subbase, j)].value
 
@@ -369,47 +410,42 @@ class StatePoint(object):
                     bins = self._f['{0}{1}/bins'.format(subbase, j)].value
 
                     # Create Filter object
-                    filter = openmc.Filter(filter_type, bins)
-                    filter.offset = offset
-                    filter.num_bins = n_bins
+                    new_filter = openmc.Filter(filter_type, bins)
+                    new_filter.num_bins = n_bins
 
                     if filter_type == 'mesh':
                         mesh_ids = self._f['tallies/meshes/ids'].value
                         mesh_keys = self._f['tallies/meshes/keys'].value
 
                         key = mesh_keys[mesh_ids == bins][0]
-                        filter.mesh = self.meshes[key]
+                        new_filter.mesh = self.meshes[key]
 
                     # Add Filter to the Tally
-                    tally.add_filter(filter)
+                    tally.filters.append(new_filter)
 
                 # Read Nuclide bins
-                nuclide_names = self._f['{0}{1}/nuclides'.format(base, tally_key)].value
+                nuclide_names = \
+                    self._f['{0}{1}/nuclides'.format(base, tally_key)].value
 
                 # Add all Nuclides to the Tally
                 for name in nuclide_names:
                     nuclide = openmc.Nuclide(name.decode().strip())
-                    tally.add_nuclide(nuclide)
-
-                # Read score bins
-                n_score_bins = self._f['{0}{1}/n_score_bins'.format(base, tally_key)].value
-
-                tally.num_score_bins = n_score_bins
+                    tally.nuclides.append(nuclide)
 
                 scores = self._f['{0}{1}/score_bins'.format(
                     base, tally_key)].value
-                n_user_scores = self._f['{0}{1}/n_user_score_bins'
-                                        .format(base, tally_key)].value
+                n_score_bins = self._f['{0}{1}/n_score_bins'
+                                       .format(base, tally_key)].value
 
                 # Compute and set the filter strides
                 for i in range(n_filters):
-                    filter = tally.filters[i]
-                    filter.stride = n_score_bins * len(nuclide_names)
+                    tally_filter = tally.filters[i]
+                    tally_filter.stride = n_score_bins * len(nuclide_names)
 
                     for j in range(i+1, n_filters):
-                        filter.stride *= tally.filters[j].num_bins
+                        tally_filter.stride *= tally.filters[j].num_bins
 
-                # Read scattering moment order strings (e.g., P3, Y-1,2, etc.)
+                # Read scattering moment order strings (e.g., P3, Y1,2, etc.)
                 moments = self._f['{0}{1}/moment_orders'.format(
                     base, tally_key)].value
 
@@ -421,9 +457,10 @@ class StatePoint(object):
                     pattern = r'-n$|-pn$|-yn$'
                     score = re.sub(pattern, '-' + moments[j].decode(), score)
 
-                    tally.add_score(score)
+                    tally.scores.append(score)
 
                 # Add Tally to the global dictionary of all Tallies
+                tally.sparse = self.sparse
                 self._tallies[tally_key] = tally
 
             self._tallies_read = True
@@ -444,18 +481,39 @@ class StatePoint(object):
     def summary(self):
         return self._summary
 
-    @property
-    def with_summary(self):
-        return False if self.summary is None else True
+    @sparse.setter
+    def sparse(self, sparse):
+        """Convert tally data from NumPy arrays to SciPy list of lists (LIL)
+        sparse matrices, and vice versa.
+
+        This property may be used to reduce the amount of data in memory during
+        tally data processing. The tally data will be stored as SciPy LIL
+        matrices internally within each Tally object. All tally data access
+        properties and methods will return data as a dense NumPy array.
+
+        """
+
+        cv.check_type('sparse', sparse, bool)
+        self._sparse = sparse
+
+        # Update tally sparsities
+        if self._tallies_read:
+            for tally_id in self.tallies:
+                self.tallies[tally_id].sparse = self.sparse
 
     def get_tally(self, scores=[], filters=[], nuclides=[],
-                  name=None, id=None, estimator=None):
+                  name=None, id=None, estimator=None, exact_filters=False,
+                  exact_nuclides=False, exact_scores=False):
         """Finds and returns a Tally object with certain properties.
 
         This routine searches the list of Tallies and returns the first Tally
         found which satisfies all of the input parameters.
-        NOTE: The input parameters do not need to match the complete Tally
-        specification and may only represent a subset of the Tally's properties.
+
+        NOTE: If any of the "exact" parameters are False (default), the input
+        parameters do not need to match the complete Tally specification and
+        may only represent a subset of the Tally's properties. If an "exact"
+        parameter is True then number of scores, filters, or nuclides in the
+        parameters must precisely match those of any matching Tally.
 
         Parameters
         ----------
@@ -471,10 +529,22 @@ class StatePoint(object):
             The id specified for the Tally (default is None).
         estimator: str, optional
             The type of estimator ('tracklength', 'analog'; default is None).
+        exact_filters : bool
+            If True, the number of filters in the parameters must be identical
+            to those in the matching Tally. If False (default), the filters in
+            the parameters may be a subset of those in the matching Tally.
+        exact_nuclides : bool
+            If True, the number of nuclides in the parameters must be identical
+            to those in the matching Tally. If False (default), the nuclides in
+            the parameters may be a subset of those in the matching Tally.
+        exact_scores : bool
+            If True, the number of scores in the parameters must be identical
+            to those in the matching Tally. If False (default), the scores
+            in the parameters may be a subset of those in the matching Tally.
 
         Returns
         -------
-        tally : Tally
+        tally : openmc.Tally
             A tally matching the specified criteria
 
         Raises
@@ -488,7 +558,7 @@ class StatePoint(object):
         tally = None
 
         # Iterate over all tallies to find the appropriate one
-        for tally_id, test_tally in self.tallies.items():
+        for test_tally in self.tallies.values():
 
             # Determine if Tally has queried name
             if name and name != test_tally.name:
@@ -499,7 +569,15 @@ class StatePoint(object):
                 continue
 
             # Determine if Tally has queried estimator
-            if estimator and not estimator == test_tally.estimator:
+            if estimator and estimator != test_tally.estimator:
+                continue
+
+            # The number of filters, nuclides and scores must exactly match
+            if exact_scores and len(scores) != test_tally.num_scores:
+                continue
+            if exact_nuclides and len(nuclides) != test_tally.num_nuclides:
+                continue
+            if exact_filters and len(filters) != test_tally.num_filters:
                 continue
 
             # Determine if Tally has the queried score(s)
@@ -520,13 +598,13 @@ class StatePoint(object):
                 contains_filters = True
 
                 # Iterate over the Filters requested by the user
-                for filter in filters:
+                for outer_filter in filters:
                     contains_filters = False
 
                     # Test if requested filter is a subset of any of the test
                     # tally's filters and if so continue to next filter
-                    for test_filter in test_tally.filters:
-                        if test_filter.is_subset(filter):
+                    for inner_filter in test_tally.filters:
+                        if inner_filter.is_subset(outer_filter):
                             contains_filters = True
                             break
 
@@ -571,7 +649,7 @@ class StatePoint(object):
 
         Parameters
         ----------
-        summary : Summary
+        summary : openmc.Summary
              A Summary object.
 
         Raises
@@ -582,39 +660,50 @@ class StatePoint(object):
 
         """
 
+        if self.summary is not None:
+            warnings.warn('A Summary object has already been linked.',
+                          RuntimeWarning)
+            return
+
         if not isinstance(summary, openmc.summary.Summary):
             msg = 'Unable to link statepoint with "{0}" which ' \
                   'is not a Summary object'.format(summary)
             raise ValueError(msg)
 
         for tally_id, tally in self.tallies.items():
-            # Get the Tally name from the summary file
-            tally.name = summary.tallies[tally_id].name
+            summary_tally = summary.tallies[tally_id]
+            tally.name = summary_tally.name
             tally.with_summary = True
 
-            for filter in tally.filters:
-                if filter.type == 'surface':
+            for tally_filter in tally.filters:
+                summary_filter = summary_tally.find_filter(tally_filter.type)
+
+                if tally_filter.type == 'surface':
                     surface_ids = []
-                    for bin in filter.bins:
+                    for bin in tally_filter.bins:
                         surface_ids.append(summary.surfaces[bin].id)
-                    filter.bins = surface_ids
+                    tally_filter.bins = surface_ids
 
-                if filter.type in ['cell', 'distribcell']:
+                if tally_filter.type in ['cell', 'distribcell']:
                     distribcell_ids = []
-                    for bin in filter.bins:
+                    for bin in tally_filter.bins:
                         distribcell_ids.append(summary.cells[bin].id)
-                    filter.bins = distribcell_ids
+                    tally_filter.bins = distribcell_ids
 
-                if filter.type == 'universe':
+                if tally_filter.type == 'distribcell':
+                    tally_filter.distribcell_paths = \
+                        summary_filter.distribcell_paths
+
+                if tally_filter.type == 'universe':
                     universe_ids = []
-                    for bin in filter.bins:
+                    for bin in tally_filter.bins:
                         universe_ids.append(summary.universes[bin].id)
-                    filter.bins = universe_ids
+                    tally_filter.bins = universe_ids
 
-                if filter.type == 'material':
+                if tally_filter.type == 'material':
                     material_ids = []
-                    for bin in filter.bins:
+                    for bin in tally_filter.bins:
                         material_ids.append(summary.materials[bin].id)
-                    filter.bins = material_ids
+                    tally_filter.bins = material_ids
 
         self._summary = summary
diff --git a/openmc/stats/__init__.py b/openmc/stats/__init__.py
new file mode 100644
index 0000000000..3d7b80b281
--- /dev/null
+++ b/openmc/stats/__init__.py
@@ -0,0 +1,2 @@
+from openmc.stats.univariate import *
+from openmc.stats.multivariate import *
diff --git a/openmc/stats/multivariate.py b/openmc/stats/multivariate.py
new file mode 100644
index 0000000000..e4eadd7aa4
--- /dev/null
+++ b/openmc/stats/multivariate.py
@@ -0,0 +1,360 @@
+from abc import ABCMeta, abstractmethod
+from collections import Iterable
+from math import pi
+from numbers import Real
+import sys
+from xml.etree import ElementTree as ET
+
+import numpy as np
+
+import openmc.checkvalue as cv
+from openmc.stats.univariate import Univariate, Uniform
+
+if sys.version_info[0] >= 3:
+    basestring = str
+
+
+class UnitSphere(object):
+    """Distribution of points on the unit sphere.
+
+    This abstract class is used for angular distributions, since a direction is
+    represented as a unit vector (i.e., vector on the unit sphere).
+
+    Parameters
+    ----------
+    reference_uvw : Iterable of float
+        Direction from which polar angle is measured
+
+    Attributes
+    ----------
+    reference_uvw : Iterable of float
+        Direction from which polar angle is measured
+
+    """
+
+    __metaclass__ = ABCMeta
+
+    def __init__(self, reference_uvw=None):
+        self._reference_uvw = None
+        if reference_uvw is not None:
+            self.reference_uvw = reference_uvw
+
+    @property
+    def reference_uvw(self):
+        return self._reference_uvw
+
+    @reference_uvw.setter
+    def reference_uvw(self, uvw):
+        cv.check_type('reference direction', uvw, Iterable, Real)
+        uvw = np.asarray(uvw)
+        self._reference_uvw = uvw/np.linalg.norm(uvw)
+
+    @abstractmethod
+    def to_xml(self):
+        return ''
+
+
+class PolarAzimuthal(UnitSphere):
+    """Angular distribution represented by polar and azimuthal angles
+
+    This distribution allows one to specify the distribution of the cosine of
+    the polar angle and the azimuthal angle independently of once another.
+
+    Parameters
+    ----------
+    mu : openmc.stats.Univariate
+        Distribution of the cosine of the polar angle
+    phi : openmc.stats.Univariate
+        Distribution of the azimuthal angle in radians
+    reference_uvw : Iterable of float
+        Direction from which polar angle is measured. Defaults to the positive
+        z-direction.
+
+    Attributes
+    ----------
+    mu : openmc.stats.Univariate
+        Distribution of the cosine of the polar angle
+    phi : openmc.stats.Univariate
+        Distribution of the azimuthal angle in radians
+
+    """
+
+    def __init__(self, mu=None, phi=None, reference_uvw=[0., 0., 1.]):
+        super(PolarAzimuthal, self).__init__(reference_uvw)
+        if mu is not None:
+            self.mu = mu
+        else:
+            self.mu = Uniform(-1., 1.)
+
+        if phi is not None:
+            self.phi = phi
+        else:
+            self.phi = Uniform(0., 2*pi)
+
+    @property
+    def mu(self):
+        return self._mu
+
+    @property
+    def phi(self):
+        return self._phi
+
+    @mu.setter
+    def mu(self, mu):
+        cv.check_type('cosine of polar angle', mu, Univariate)
+        self._mu = mu
+
+    @phi.setter
+    def phi(self, phi):
+        cv.check_type('azimuthal angle', phi, Univariate)
+        self._phi = phi
+
+    def to_xml(self):
+        element = ET.Element('angle')
+        element.set("type", "mu-phi")
+        if self.reference_uvw is not None:
+            element.set("reference_uvw", ' '.join(map(str, self.reference_uvw)))
+        element.append(self.mu.to_xml('mu'))
+        element.append(self.phi.to_xml('phi'))
+        return element
+
+
+class Isotropic(UnitSphere):
+    """Isotropic angular distribution.
+
+    """
+
+    def __init__(self):
+        super(Isotropic, self).__init__()
+
+    def to_xml(self):
+        element = ET.Element('angle')
+        element.set("type", "isotropic")
+        return element
+
+
+class Monodirectional(UnitSphere):
+    """Monodirectional angular distribution.
+
+    A monodirectional angular distribution is one for which the polar and
+    azimuthal angles are always the same. It is completely specified by the
+    reference direction vector.
+
+    Parameters
+    ----------
+    reference_uvw : Iterable of float
+        Direction from which polar angle is measured. Defaults to the positive
+        x-direction.
+
+    """
+
+
+    def __init__(self, reference_uvw=[1., 0., 0.]):
+        super(Monodirectional, self).__init__(reference_uvw)
+
+    def to_xml(self):
+        element = ET.Element('angle')
+        element.set("type", "monodirectional")
+        if self.reference_uvw is not None:
+            element.set("reference_uvw", ' '.join(map(str, self.reference_uvw)))
+        return element
+
+
+class Spatial(object):
+    """Distribution of locations in three-dimensional Euclidean space.
+
+    Classes derived from this abstract class can be used for spatial
+    distributions of source sites.
+
+    """
+
+    __metaclass__ = ABCMeta
+
+    def __init__(self):
+        pass
+
+    @abstractmethod
+    def to_xml(self):
+        return ''
+
+
+class CartesianIndependent(Spatial):
+    """Spatial distribution with independent x, y, and z distributions.
+
+    This distribution allows one to specify a coordinates whose x-, y-, and z-
+    components are sampled independently from one another.
+
+    Parameters
+    ----------
+    x : openmc.stats.Univariate
+        Distribution of x-coordinates
+    y : openmc.stats.Univariate
+        Distribution of y-coordinates
+    z : openmc.stats.Univariate
+        Distribution of z-coordinates
+
+    Attributes
+    ----------
+    x : openmc.stats.Univariate
+        Distribution of x-coordinates
+    y : openmc.stats.Univariate
+        Distribution of y-coordinates
+    z : openmc.stats.Univariate
+        Distribution of z-coordinates
+
+    """
+
+
+    def __init__(self, x, y, z):
+        super(CartesianIndependent, self).__init__()
+        self.x = x
+        self.y = y
+        self.z = z
+
+    @property
+    def x(self):
+        return self._x
+
+    @property
+    def y(self):
+        return self._y
+
+    @property
+    def z(self):
+        return self._z
+
+    @x.setter
+    def x(self, x):
+        cv.check_type('x coordinate', x, Univariate)
+        self._x = x
+
+    @y.setter
+    def y(self, y):
+        cv.check_type('y coordinate', y, Univariate)
+        self._y = y
+
+    @z.setter
+    def z(self, z):
+        cv.check_type('z coordinate', z, Univariate)
+        self._z = z
+
+    def to_xml(self):
+        element = ET.Element('space')
+        element.set('type', 'cartesian')
+        element.append(self.x.to_xml('x'))
+        element.append(self.y.to_xml('y'))
+        element.append(self.z.to_xml('z'))
+        return element
+
+
+class Box(Spatial):
+    """Uniform distribution of coordinates in a rectangular cuboid.
+
+    Parameters
+    ----------
+    lower_left : Iterable of float
+        Lower-left coordinates of cuboid
+    upper_right : Iterable of float
+        Upper-right coordinates of cuboid
+    only_fissionable : bool, optional
+        Whether spatial sites should only be accepted if they occur in
+        fissionable materials
+
+    Attributes
+    ----------
+    lower_left : Iterable of float
+        Lower-left coordinates of cuboid
+    upper_right : Iterable of float
+        Upper-right coordinates of cuboid
+    only_fissionable : bool, optional
+        Whether spatial sites should only be accepted if they occur in
+        fissionable materials
+
+    """
+
+
+    def __init__(self, lower_left, upper_right, only_fissionable=False):
+        super(Box, self).__init__()
+        self.lower_left = lower_left
+        self.upper_right = upper_right
+        self.only_fissionable = only_fissionable
+
+    @property
+    def lower_left(self):
+        return self._lower_left
+
+    @property
+    def upper_right(self):
+        return self._upper_right
+
+    @property
+    def only_fissionable(self):
+        return self._only_fissionable
+
+    @lower_left.setter
+    def lower_left(self, lower_left):
+        cv.check_type('lower left coordinate', lower_left, Iterable, Real)
+        cv.check_length('lower left coordinate', lower_left, 3)
+        self._lower_left = lower_left
+
+    @upper_right.setter
+    def upper_right(self, upper_right):
+        cv.check_type('upper right coordinate', upper_right, Iterable, Real)
+        cv.check_length('upper right coordinate', upper_right, 3)
+        self._upper_right = upper_right
+
+    @only_fissionable.setter
+    def only_fissionable(self, only_fissionable):
+        cv.check_type('only fissionable', only_fissionable, bool)
+        self._only_fissionable = only_fissionable
+
+    def to_xml(self):
+        element = ET.Element('space')
+        if self.only_fissionable:
+            element.set("type", "fission")
+        else:
+            element.set("type", "box")
+        params = ET.SubElement(element, "parameters")
+        params.text = ' '.join(map(str, self.lower_left)) + ' ' + \
+                      ' '.join(map(str, self.upper_right))
+        return element
+
+
+class Point(Spatial):
+    """Delta function in three dimensions.
+
+    This spatial distribution can be used for a point source where sites are
+    emitted at a specific location given by its Cartesian coordinates.
+
+    Parameters
+    ----------
+    xyz : Iterable of float, optional
+        Cartesian coordinates of location. Defaults to (0., 0., 0.).
+
+    Attributes
+    ----------
+    xyz : Iterable of float
+        Cartesian coordinates of location
+
+    """
+
+    def __init__(self, xyz=(0., 0., 0.)):
+        super(Point, self).__init__()
+        self.xyz = xyz
+
+    @property
+    def xyz(self):
+        return self._xyz
+
+    @xyz.setter
+    def xyz(self, xyz):
+        cv.check_type('coordinate', xyz, Iterable, Real)
+        cv.check_length('coordinate', xyz, 3)
+        self._xyz = xyz
+
+    def to_xml(self):
+        element = ET.Element('space')
+        element.set("type", "point")
+        params = ET.SubElement(element, "parameters")
+        params.text = ' '.join(map(str, self.xyz))
+        return element
diff --git a/openmc/stats/univariate.py b/openmc/stats/univariate.py
new file mode 100644
index 0000000000..7c84dba34c
--- /dev/null
+++ b/openmc/stats/univariate.py
@@ -0,0 +1,310 @@
+from abc import ABCMeta, abstractmethod
+from collections import Iterable
+from numbers import Real
+import sys
+from xml.etree import ElementTree as ET
+
+import openmc.checkvalue as cv
+
+if sys.version_info[0] >= 3:
+    basestring = str
+
+
+class Univariate(object):
+    """Probability distribution of a single random variable.
+
+    The Univariate class is an abstract class that can be derived to implement a
+    specific probability distribution.
+
+    """
+
+    __metaclass__ = ABCMeta
+
+    def __init__(self):
+        pass
+
+    @abstractmethod
+    def to_xml(self, element_name):
+        return ''
+
+
+class Discrete(Univariate):
+    """Distribution characterized by a probability mass function.
+
+    The Discrete distribution assigns probability values to discrete values of a
+    random variable, rather than expressing the distribution as a continuous
+    random variable.
+
+    Parameters
+    ----------
+    x : Iterable of float
+        Values of the random variable
+    p : Iterable of float
+        Discrete probability for each value
+
+    Attributes
+    ----------
+    x : Iterable of float
+        Values of the random variable
+    p : Iterable of float
+        Discrete probability for each value
+
+    """
+
+    def __init__(self, x, p):
+        super(Discrete, self).__init__()
+        self.x = x
+        self.p = p
+
+    @property
+    def x(self):
+        return self._x
+
+    @property
+    def p(self):
+        return self._p
+
+    @x.setter
+    def x(self, x):
+        if isinstance(x, Real):
+            x = [x]
+        cv.check_type('discrete values', x, Iterable, Real)
+        self._x = x
+
+    @p.setter
+    def p(self, p):
+        if isinstance(p, Real):
+            p = [p]
+        cv.check_type('discrete probabilities', p, Iterable, Real)
+        for pk in p:
+            cv.check_greater_than('discrete probability', pk, 0.0, True)
+        self._p = p
+
+    def to_xml(self, element_name):
+        element = ET.Element(element_name)
+        element.set("type", "discrete")
+
+        params = ET.SubElement(element, "parameters")
+        params.text = ' '.join(map(str, self.x)) + ' ' + ' '.join(map(str, self.p))
+
+        return element
+
+
+class Uniform(Univariate):
+    """Distribution with constant probability over a finite interval [a,b]
+
+    Parameters
+    ----------
+    a : float, optional
+        Lower bound of the sampling interval. Defaults to zero.
+    b : float, optional
+        Upper bound of the sampling interval. Defaults to unity.
+
+    Attributes
+    ----------
+    a : float
+        Lower bound of the sampling interval
+    b : float
+        Upper bound of the sampling interval
+
+    """
+
+    def __init__(self, a=0.0, b=1.0):
+        super(Uniform, self).__init__()
+        self.a = a
+        self.b = b
+
+    @property
+    def a(self):
+        return self._a
+
+    @property
+    def b(self):
+        return self._b
+
+    @a.setter
+    def a(self, a):
+        cv.check_type('Uniform a', a, Real)
+        self._a = a
+
+    @b.setter
+    def b(self, b):
+        cv.check_type('Uniform b', b, Real)
+        self._b = b
+
+    def to_xml(self, element_name):
+        element = ET.Element(element_name)
+        element.set("type", "uniform")
+        element.set("parameters", '{} {}'.format(self.a, self.b))
+        return element
+
+
+class Maxwell(Univariate):
+    """Maxwellian distribution in energy.
+
+    The Maxwellian distribution in energy is characterized by a single parameter
+    :math:`\theta` and has a density function :math:`p(E) dE = c E e^{-E/\theta}
+    dE`.
+
+    Parameters
+    ----------
+    theta : float
+        Effective temperature for distribution
+
+    Attributes
+    ----------
+    theta : float
+        Effective temperature for distribution
+
+    """
+
+    def __init__(self, theta):
+        super(Maxwell, self).__init__()
+        self.theta = theta
+
+    @property
+    def theta(self):
+        return self._theta
+
+    @theta.setter
+    def theta(self, theta):
+        cv.check_type('Maxwell temperature', theta, Real)
+        cv.check_greater_than('Maxwell temperature', theta, 0.0)
+        self._theta = theta
+
+    def to_xml(self, element_name):
+        element = ET.Element(element_name)
+        element.set("type", "maxwell")
+        element.set("parameters", str(self.theta))
+        return element
+
+
+class Watt(Univariate):
+    r"""Watt fission energy spectrum.
+
+    The Watt fission energy spectrum is characterized by two parameters
+    :math:`a` and :math:`b` and has density function :math:`p(E) dE = c e^{-E/a}
+    \sinh \sqrt{b \, E} dE`.
+
+    Parameters
+    ----------
+    a : float
+        First parameter of distribution
+    b : float
+        Second parameter of distribution
+
+    Attributes
+    ----------
+    a : float
+        First parameter of distribution
+    b : float
+        Second parameter of distribution
+
+    """
+
+    def __init__(self, a=0.988, b=2.249):
+        super(Watt, self).__init__()
+        self.a = a
+        self.b = b
+
+    @property
+    def a(self):
+        return self._a
+
+    @property
+    def b(self):
+        return self._b
+
+    @a.setter
+    def a(self, a):
+        cv.check_type('Watt a', a, Real)
+        cv.check_greater_than('Watt a', a, 0.0)
+        self._a = a
+
+    @b.setter
+    def b(self, b):
+        cv.check_type('Watt b', b, Real)
+        cv.check_greater_than('Watt b', b, 0.0)
+        self._b = b
+
+    def to_xml(self, element_name):
+        element = ET.Element(element_name)
+        element.set("type", "watt")
+        element.set("parameters", '{} {}'.format(self.a, self.b))
+        return element
+
+
+class Tabular(Univariate):
+    """Piecewise continuous probability distribution.
+
+    This class is used to represent a probability distribution whose density
+    function is tabulated at specific values and is either histogram or linearly
+    interpolated between points.
+
+    Parameters
+    ----------
+    x : Iterable of float
+        Tabulated values of the random variable
+    p : Iterable of float
+        Tabulated probabilities
+    interpolation : {'histogram', 'linear-linear'}, optional
+        Indicate whether the density function is constant between tabulated
+        points or linearly-interpolated.
+
+    Attributes
+    ----------
+    x : Iterable of float
+        Tabulated values of the random variable
+    p : Iterable of float
+        Tabulated probabilities
+    interpolation : {'histogram', 'linear-linear'}, optional
+        Indicate whether the density function is constant between tabulated
+        points or linearly-interpolated.
+
+    """
+
+    def __init__(self, x, p, interpolation='linear-linear'):
+        super(Tabular, self).__init__()
+        self.x = x
+        self.p = p
+        self.interpolation = interpolation
+
+    @property
+    def x(self):
+        return self._x
+
+    @property
+    def p(self):
+        return self._p
+
+    @property
+    def interpolation(self):
+        return self._interpolation
+
+    @x.setter
+    def x(self, x):
+        cv.check_type('tabulated values', x, Iterable, Real)
+        self._x = x
+
+    @p.setter
+    def p(self, p):
+        cv.check_type('tabulated probabilities', p, Iterable, Real)
+        for pk in p:
+            cv.check_greater_than('tabulated probability', pk, 0.0, True)
+        self._p = p
+
+    @interpolation.setter
+    def interpolation(self, interpolation):
+        cv.check_value('interpolation', interpolation,
+                       ['linear-linear', 'histogram'])
+        self._interpolation = interpolation
+
+    def to_xml(self, element_name):
+        element = ET.Element(element_name)
+        element.set("type", "tabular")
+        element.set("interpolation", self.interpolation)
+
+        params = ET.SubElement(element, "parameters")
+        params.text = ' '.join(map(str, self.x)) + ' ' + ' '.join(map(str, self.p))
+
+        return element
diff --git a/openmc/summary.py b/openmc/summary.py
index 4b1088e827..8c626940e5 100644
--- a/openmc/summary.py
+++ b/openmc/summary.py
@@ -1,3 +1,6 @@
+from collections import Iterable
+import re
+
 import numpy as np
 
 import openmc
@@ -24,6 +27,10 @@ class Summary(object):
         # Python API so we'll only try to import h5py if the user actually inits
         # a Summary object.
         import h5py
+        if h5py.__version__ == '2.6.0':
+            raise ImportError("h5py 2.6.0 has a known bug which makes it "
+                              "incompatible with OpenMC's HDF5 files. "
+                              "Please switch to a different version.")
 
         openmc.reset_auto_ids()
 
@@ -36,8 +43,10 @@ class Summary(object):
         self._opencg_geometry = None
 
         self._read_metadata()
+        self._read_nuclides()
         self._read_geometry()
         self._read_tallies()
+        self._f.close()
 
     @property
     def openmc_geometry(self):
@@ -53,18 +62,33 @@ class Summary(object):
     def _read_metadata(self):
         # Read OpenMC version
         self.version = [self._f['version_major'].value,
-                         self._f['version_minor'].value,
-                         self._f['version_release'].value]
+                        self._f['version_minor'].value,
+                        self._f['version_release'].value]
         # Read date and time
         self.date_and_time = self._f['date_and_time'][...]
 
+        # Read if continuous-energy or multi-group
+        self.run_CE = (self._f['run_CE'].value == 1)
+
         self.n_batches = self._f['n_batches'].value
         self.n_particles = self._f['n_particles'].value
-        self.n_active = self._f['n_active'].value
-        self.n_inactive = self._f['n_inactive'].value
-        self.gen_per_batch = self._f['gen_per_batch'].value
+        if 'n_inactive' in self._f:
+            self.n_active = self._f['n_active'].value
+            self.n_inactive = self._f['n_inactive'].value
+            self.gen_per_batch = self._f['gen_per_batch'].value
         self.n_procs = self._f['n_procs'].value
 
+    def _read_nuclides(self):
+        self.nuclides = {}
+        n_nuclides = self._f['nuclides/n_nuclides_total'].value
+        names = self._f['nuclides/names'].value
+        awrs = self._f['nuclides/awrs'].value
+        zaids = self._f['nuclides/zaids'].value
+        for n in range(n_nuclides):
+            name = names[n].decode()
+            name = name[:name.find('.')]
+            self.nuclides[name] = (zaids[n], awrs[n])
+
     def _read_geometry(self):
         # Read in and initialize the Materials and Geometry
         self._read_materials()
@@ -261,7 +285,11 @@ class Summary(object):
                     rotation = \
                       self._f['geometry/cells'][key]['rotation'][...]
                     rotation = np.asarray(rotation, dtype=np.int)
-                    cell.rotation = rotation
+                    cell._rotation = rotation
+
+            elif fill_type == 'normal':
+                cell.temperature = \
+                  self._f['geometry/cells'][key]['temperature'][...]
 
             # Store Cell fill information for after Universe/Lattice creation
             self._cell_fills[index] = (fill_type, fill)
@@ -271,6 +299,11 @@ class Summary(object):
                 cell.region = Region.from_expression(
                     region, {s.id: s for s in self.surfaces.values()})
 
+            # Get the distribcell index
+            ind = self._f['geometry/cells'][key]['distribcell_index'].value
+            if ind != 0:
+                cell.distribcell_index = ind
+
             # Add the Cell to the global dictionary of all Cells
             self.cells[index] = cell
 
@@ -329,15 +362,11 @@ class Summary(object):
                      self._f['geometry/lattices'][key]['lower_left'][...]
                 pitch = self._f['geometry/lattices'][key]['pitch'][...]
                 outer = self._f['geometry/lattices'][key]['outer'].value
-
                 universe_ids = \
-                     self._f['geometry/lattices'][key]['universes'][...]
-                universe_ids = np.swapaxes(universe_ids, 0, 1)
-                universe_ids = np.swapaxes(universe_ids, 1, 2)
+                    self._f['geometry/lattices'][key]['universes'][...]
 
                 # Create the Lattice
                 lattice = openmc.RectLattice(lattice_id=lattice_id, name=name)
-                lattice.dimension = tuple(dimension)
                 lattice.lower_left = lower_left
                 lattice.pitch = pitch
 
@@ -347,43 +376,41 @@ class Summary(object):
 
                 # Build array of Universe pointers for the Lattice
                 universes = \
-                    np.ndarray(tuple(universe_ids.shape), dtype=openmc.Universe)
+                    np.empty(tuple(universe_ids.shape), dtype=openmc.Universe)
 
-                for x in range(universe_ids.shape[0]):
+                for z in range(universe_ids.shape[0]):
                     for y in range(universe_ids.shape[1]):
-                        for z in range(universe_ids.shape[2]):
-                            universes[x, y, z] = \
-                                 self.get_universe_by_id(universe_ids[x, y, z])
+                        for x in range(universe_ids.shape[2]):
+                            universes[z, y, x] = \
+                                 self.get_universe_by_id(universe_ids[z, y, x])
 
-                # Transpose, reverse y-dimension for appropriate ordering
-                shape = universes.shape
-                universes = np.transpose(universes, (1, 0, 2))
-                universes.shape = shape
-                universes = universes[:, ::-1, :]
+                # Use 2D NumPy array to store lattice universes for 2D lattices
+                if len(dimension) == 2:
+                    universes = np.squeeze(universes)
+                    universes = np.atleast_2d(universes)
+
+                # Set the universes for the lattice
                 lattice.universes = universes
 
+                # Set the distribcell offsets for the lattice
                 if offsets is not None:
-                    offsets = np.swapaxes(offsets, 0, 1)
-                    offsets = np.swapaxes(offsets, 1, 2)
-                    lattice.offsets = offsets
+                    lattice.offsets = offsets[:, ::-1, :]
 
                 # Add the Lattice to the global dictionary of all Lattices
                 self.lattices[index] = lattice
 
             if lattice_type == 'hexagonal':
-                n_rings = self._f['geometry/lattices'][key]['n_rings'][0]
-                n_axial = self._f['geometry/lattices'][key]['n_axial'][0]
+                n_rings = self._f['geometry/lattices'][key]['n_rings'].value
+                n_axial = self._f['geometry/lattices'][key]['n_axial'].value
                 center = self._f['geometry/lattices'][key]['center'][...]
                 pitch = self._f['geometry/lattices'][key]['pitch'][...]
-                outer = self._f['geometry/lattices'][key]['outer'][0]
+                outer = self._f['geometry/lattices'][key]['outer'].value
 
                 universe_ids = self._f[
                     'geometry/lattices'][key]['universes'][...]
 
                 # Create the Lattice
                 lattice = openmc.HexLattice(lattice_id=lattice_id, name=name)
-                lattice.num_rings = n_rings
-                lattice.num_axial = n_axial
                 lattice.center = center
                 lattice.pitch = pitch
 
@@ -396,12 +423,12 @@ class Summary(object):
                 # (x, alpha, z) to the Python API's format of a ragged nested
                 # list of (z, ring, theta).
                 universes = []
-                for z in range(lattice.num_axial):
+                for z in range(n_axial):
                     # Add a list for this axial level.
                     universes.append([])
-                    x = lattice.num_rings - 1
-                    a = 2*lattice.num_rings - 2
-                    for r in range(lattice.num_rings - 1, 0, -1):
+                    x = n_rings - 1
+                    a = 2*n_rings - 2
+                    for r in range(n_rings - 1, 0, -1):
                         # Add a list for this ring.
                         universes[-1].append([])
 
@@ -474,10 +501,14 @@ class Summary(object):
 
             # Retrieve the object corresponding to the fill type and ID
             if fill_type == 'normal':
-                if fill_id > 0:
-                    fill = self.get_material_by_id(fill_id)
+                if isinstance(fill_id, Iterable):
+                    fill = [self.get_material_by_id(mat) if mat > 0 else None
+                            for mat in fill_id]
                 else:
-                    fill = 'void'
+                    if fill_id > 0:
+                        fill = self.get_material_by_id(fill_id)
+                    else:
+                        fill = None
             elif fill_type == 'universe':
                 fill = self.get_universe_by_id(fill_id)
             else:
@@ -520,12 +551,18 @@ class Summary(object):
             # Create Tally object and assign basic properties
             tally = openmc.Tally(tally_id, tally_name)
 
+            # Read scattering moment order strings (e.g., P3, Y1,2, etc.)
+            moments = self._f['{0}/moment_orders'.format(subbase)].value
+
             # Read score metadata
             scores = self._f['{0}/score_bins'.format(subbase)].value
-            for score in scores:
-                tally.add_score(score.decode())
-            num_score_bins = self._f['{0}/n_score_bins'.format(subbase)][...]
-            tally.num_score_bins = num_score_bins
+            for j, score in enumerate(scores):
+                score = score.decode()
+
+                # If this is a moment, use generic moment order
+                pattern = r'-n$|-pn$|-yn$'
+                score = re.sub(pattern, '-' + moments[j].decode(), score)
+                tally.scores.append(score)
 
             # Read filter metadata
             num_filters = self._f['{0}/n_filters'.format(subbase)].value
@@ -542,11 +579,17 @@ class Summary(object):
                 bins = self._f['{0}/bins'.format(subsubbase)][...]
 
                 # Create Filter object
-                filter = openmc.Filter(filter_type, bins)
-                filter.num_bins = num_bins
+                new_filter = openmc.Filter(filter_type, bins)
+                new_filter.num_bins = num_bins
+
+                # Read in distribcell paths
+                if filter_type == 'distribcell':
+                    paths = self._f['{0}/paths'.format(subsubbase)][...]
+                    paths = [str(path.decode()) for path in paths]
+                    new_filter.distribcell_paths = paths
 
                 # Add Filter to the Tally
-                tally.add_filter(filter)
+                tally.filters.append(new_filter)
 
             # Add Tally to the global dictionary of all Tallies
             self.tallies[tally_id] = tally
@@ -561,13 +604,13 @@ class Summary(object):
 
         Returns
         -------
-        material : openmc.material.Material
+        material : openmc.Material
             Material with given id
 
         """
 
-        for index, material in self.materials.items():
-            if material._id == material_id:
+        for material in self.materials.values():
+            if material.id == material_id:
                 return material
 
         return None
@@ -582,13 +625,13 @@ class Summary(object):
 
         Returns
         -------
-        surface : openmc.surface.Surface
+        surface : openmc.Surface
             Surface with given id
 
         """
 
-        for index, surface in self.surfaces.items():
-            if surface._id == surface_id:
+        for surface in self.surfaces.values():
+            if surface.id == surface_id:
                 return surface
 
         return None
@@ -603,13 +646,13 @@ class Summary(object):
 
         Returns
         -------
-        cell : openmc.universe.Cell
+        cell : openmc.Cell
             Cell with given id
 
         """
 
-        for index, cell in self.cells.items():
-            if cell._id == cell_id:
+        for cell in self.cells.values():
+            if cell.id == cell_id:
                 return cell
 
         return None
@@ -624,13 +667,13 @@ class Summary(object):
 
         Returns
         -------
-        universe : openmc.universe.Universe
+        universe : openmc.Universe
             Universe with given id
 
         """
 
-        for index, universe in self.universes.items():
-            if universe._id == universe_id:
+        for universe in self.universes.values():
+            if universe.id == universe_id:
                 return universe
 
         return None
@@ -645,13 +688,13 @@ class Summary(object):
 
         Returns
         -------
-        lattice : openmc.universe.Lattice
+        lattice : openmc.Lattice
             Lattice with given id
 
         """
 
-        for index, lattice in self.lattices.items():
-            if lattice._id == lattice_id:
+        for lattice in self.lattices.values():
+            if lattice.id == lattice_id:
                 return lattice
 
         return None
diff --git a/openmc/surface.py b/openmc/surface.py
index 8dc45209be..c33c4ee74c 100644
--- a/openmc/surface.py
+++ b/openmc/surface.py
@@ -2,11 +2,12 @@ from abc import ABCMeta
 from numbers import Real, Integral
 from xml.etree import ElementTree as ET
 import sys
+from math import sqrt
 
 import numpy as np
 
 from openmc.checkvalue import check_type, check_value, check_greater_than
-from openmc.region import Region
+from openmc.region import Region, Intersection
 
 if sys.version_info[0] >= 3:
     basestring = str
@@ -18,13 +19,17 @@ _BC_TYPES = ['transmission', 'vacuum', 'reflective', 'periodic']
 
 
 def reset_auto_surface_id():
+    """Reset counters for all auto-generated surface IDs"""
     global AUTO_SURFACE_ID
     AUTO_SURFACE_ID = 10000
 
 
 class Surface(object):
-    """A two-dimensional surface that can be used define regions of space with an
-    associated boundary condition.
+    """An implicit surface with an associated boundary condition.
+
+    An implicit surface is defined as the set of zeros of a function of the
+    three Cartesian coordinates. Surfaces in OpenMC are limited to a set of
+    algebraic surfaces, i.e., surfaces that are polynomial in x, y, and z.
 
     Parameters
     ----------
@@ -34,7 +39,9 @@ class Surface(object):
     boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}, optional
         Boundary condition that defines the behavior for particles hitting the
         surface. Defaults to transmissive boundary condition where particles
-        freely pass through the surface.
+        freely pass through the surface. Note that periodic boundary conditions
+        can only be applied to x-, y-, and z-planes, and only axis-aligned
+        periodicity is supported.
     name : str, optional
         Name of the surface. If not specified, the name will be the empty
         string.
@@ -44,19 +51,18 @@ class Surface(object):
     boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}
         Boundary condition that defines the behavior for particles hitting the
         surface.
-    coeffs : dict
+    coefficients : dict
         Dictionary of surface coefficients
     id : int
         Unique identifier for the surface
     name : str
         Name of the surface
     type : str
-        Type of the surface, e.g. 'x-plane'
+        Type of the surface
 
     """
 
     def __init__(self, surface_id=None, boundary_type='transmission', name=''):
-        # Initialize class attributes
         self.id = surface_id
         self.name = name
         self._type = ''
@@ -65,7 +71,7 @@ class Surface(object):
         # A dictionary of the quadratic surface coefficients
         # Key        - coefficeint name
         # Value    - coefficient value
-        self._coeffs = {}
+        self._coefficients = {}
 
         # An ordered list of the coefficient names to export to XML in the
         # proper order
@@ -84,12 +90,13 @@ class Surface(object):
         string += '{0: <16}{1}{2}\n'.format('\tType', '=\t', self._type)
         string += '{0: <16}{1}{2}\n'.format('\tBoundary', '=\t', self._boundary_type)
 
-        coeffs = '{0: <16}'.format('\tCoefficients') + '\n'
+        coefficients = '{0: <16}'.format('\tCoefficients') + '\n'
 
-        for coeff in self._coeffs:
-            coeffs += '{0: <16}{1}{2}\n'.format(coeff, '=\t', self._coeffs[coeff])
+        for coeff in self._coefficients:
+            coefficients += '{0: <16}{1}{2}\n'.format(
+                coeff, '=\t', self._coefficients[coeff])
 
-        string += coeffs
+        string += coefficients
 
         return string
 
@@ -110,8 +117,8 @@ class Surface(object):
         return self._boundary_type
 
     @property
-    def coeffs(self):
-        return self._coeffs
+    def coefficients(self):
+        return self._coefficients
 
     @id.setter
     def id(self, surface_id):
@@ -153,10 +160,10 @@ class Surface(object):
 
         Returns
         -------
-        numpy.array
+        numpy.ndarray
             Lower-left coordinates of the axis-aligned bounding box for the
             desired half-space
-        numpy.array
+        numpy.ndarray
             Upper-right coordinates of the axis-aligned bounding box for the
             desired half-space
 
@@ -173,8 +180,9 @@ class Surface(object):
             element.set("name", str(self._name))
 
         element.set("type", self._type)
-        element.set("boundary", self._boundary_type)
-        element.set("coeffs", ' '.join([str(self._coeffs.setdefault(key, 0.0))
+        if self.boundary_type != 'transmission':
+            element.set("boundary", self.boundary_type)
+        element.set("coeffs", ' '.join([str(self._coefficients.setdefault(key, 0.0))
                                         for key in self._coeff_keys]))
 
         return element
@@ -185,22 +193,22 @@ class Plane(Surface):
 
     Parameters
     ----------
-    surface_id : int
+    surface_id : int, optional
         Unique identifier for the surface. If not specified, an identifier will
         automatically be assigned.
-    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}
+    boundary_type : {'transmission, 'vacuum', 'reflective'}, optional
         Boundary condition that defines the behavior for particles hitting the
         surface. Defaults to transmissive boundary condition where particles
         freely pass through the surface.
-    A : float
-        The 'A' parameter for the plane
-    B : float
-        The 'B' parameter for the plane
-    C : float
-        The 'C' parameter for the plane
-    D : float
-        The 'D' parameter for the plane
-    name : str
+    A : float, optional
+        The 'A' parameter for the plane. Defaults to 1.
+    B : float, optional
+        The 'B' parameter for the plane. Defaults to 0.
+    C : float, optional
+        The 'C' parameter for the plane. Defaults to 0.
+    D : float, optional
+        The 'D' parameter for the plane. Defaults to 0.
+    name : str, optional
         Name of the plane. If not specified, the name will be the empty string.
 
     Attributes
@@ -213,115 +221,165 @@ class Plane(Surface):
         The 'C' parameter for the plane
     d : float
         The 'D' parameter for the plane
+    boundary_type : {'transmission, 'vacuum', 'reflective'}
+        Boundary condition that defines the behavior for particles hitting the
+        surface.
+    periodic_surface : openmc.Surface
+        If a periodic boundary condition is used, the surface with which this
+        one is periodic with
+    coefficients : dict
+        Dictionary of surface coefficients
+    id : int
+        Unique identifier for the surface
+    name : str
+        Name of the surface
+    type : str
+        Type of the surface
 
     """
 
     def __init__(self, surface_id=None, boundary_type='transmission',
-                 A=None, B=None, C=None, D=None, name=''):
-        # Initialize Plane class attributes
+                 A=1., B=0., C=0., D=0., name=''):
         super(Plane, self).__init__(surface_id, boundary_type, name=name)
 
         self._type = 'plane'
         self._coeff_keys = ['A', 'B', 'C', 'D']
-        self._coeffs['A'] = 1.
-        self._coeffs['B'] = 0.
-        self._coeffs['C'] = 0.
-        self._coeffs['D'] = 0.
-
-        if A is not None:
-            self.a = A
-
-        if B is not None:
-            self.b = B
-
-        if C is not None:
-            self.c = C
-
-        if D is not None:
-            self.d = D
+        self._periodic_surface = None
+        self.a = A
+        self.b = B
+        self.c = C
+        self.d = D
 
     @property
     def a(self):
-        return self.coeffs['A']
+        return self.coefficients['A']
 
     @property
     def b(self):
-        return self.coeffs['B']
+        return self.coefficients['B']
 
     @property
     def c(self):
-        return self.coeffs['C']
+        return self.coefficients['C']
 
     @property
     def d(self):
-        return self.coeffs['D']
+        return self.coefficients['D']
+
+    @property
+    def periodic_surface(self):
+        return self._periodic_surface
 
     @a.setter
     def a(self, A):
         check_type('A coefficient', A, Real)
-        self._coeffs['A'] = A
+        self._coefficients['A'] = A
 
     @b.setter
     def b(self, B):
         check_type('B coefficient', B, Real)
-        self._coeffs['B'] = B
+        self._coefficients['B'] = B
 
     @c.setter
     def c(self, C):
         check_type('C coefficient', C, Real)
-        self._coeffs['C'] = C
+        self._coefficients['C'] = C
 
     @d.setter
     def d(self, D):
         check_type('D coefficient', D, Real)
-        self._coeffs['D'] = D
+        self._coefficients['D'] = D
+
+    @periodic_surface.setter
+    def periodic_surface(self, periodic_surface):
+        check_type('periodic surface', periodic_surface, Plane)
+        self._periodic_surface = periodic_surface
+        periodic_surface._periodic_surface = self
+
+    def evaluate(self, point):
+        """Evaluate the surface equation at a given point.
+
+        Parameters
+        ----------
+        point : 3-tuple of float
+            The Cartesian coordinates, :math:`(x',y',z')`, at which the surface
+            equation should be evaluated.
+
+        Returns
+        -------
+        float
+            :math:`Ax' + By' + Cz' - d`
+
+        """
+
+        x, y, z = point
+        return self.a*x + self.b*y + self.c*z - self.d
+
+    def create_xml_subelement(self):
+        element = super(Plane, self).create_xml_subelement()
+
+        # Add periodic surface pair information
+        if self.boundary_type == 'periodic':
+            if self.periodic_surface is not None:
+                element.set("periodic_surface_id", str(self.periodic_surface.id))
+        return element
 
 
 class XPlane(Plane):
-    """A plane perpendicular to the x axis, i.e. a surface of the form :math:`x -
-    x_0 = 0`
+    """A plane perpendicular to the x axis of the form :math:`x - x_0 = 0`
 
     Parameters
     ----------
-    surface_id : int
+    surface_id : int, optional
         Unique identifier for the surface. If not specified, an identifier will
         automatically be assigned.
-    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}
+    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}, optional
         Boundary condition that defines the behavior for particles hitting the
         surface. Defaults to transmissive boundary condition where particles
-        freely pass through the surface.
-    x0 : float
-        Location of the plane
-    name : str
+        freely pass through the surface. Only axis-aligned periodicity is
+        supported, i.e., x-planes can only be paired with x-planes.
+    x0 : float, optional
+        Location of the plane. Defaults to 0.
+    name : str, optional
         Name of the plane. If not specified, the name will be the empty string.
 
     Attributes
     ----------
     x0 : float
         Location of the plane
+    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}
+        Boundary condition that defines the behavior for particles hitting the
+        surface.
+    periodic_surface : openmc.Surface
+        If a periodic boundary condition is used, the surface with which this
+        one is periodic with
+    coefficients : dict
+        Dictionary of surface coefficients
+    id : int
+        Unique identifier for the surface
+    name : str
+        Name of the surface
+    type : str
+        Type of the surface
 
     """
 
     def __init__(self, surface_id=None, boundary_type='transmission',
-                 x0=None, name=''):
-        # Initialize XPlane class attributes
+                 x0=0., name=''):
         super(XPlane, self).__init__(surface_id, boundary_type, name=name)
 
         self._type = 'x-plane'
         self._coeff_keys = ['x0']
-        self._coeffs['x0'] = 0.
-
-        if x0 is not None:
-            self.x0 = x0
+        self.x0 = x0
 
     @property
     def x0(self):
-        return self.coeffs['x0']
+        return self.coefficients['x0']
 
     @x0.setter
     def x0(self, x0):
         check_type('x0 coefficient', x0, Real)
-        self._coeffs['x0'] = x0
+        self._coefficients['x0'] = x0
 
     def bounding_box(self, side):
         """Determine an axis-aligned bounding box.
@@ -338,10 +396,10 @@ class XPlane(Plane):
 
         Returns
         -------
-        numpy.array
+        numpy.ndarray
             Lower-left coordinates of the axis-aligned bounding box for the
             desired half-space
-        numpy.array
+        numpy.ndarray
             Upper-right coordinates of the axis-aligned bounding box for the
             desired half-space
 
@@ -354,52 +412,80 @@ class XPlane(Plane):
             return (np.array([self.x0, -np.inf, -np.inf]),
                     np.array([np.inf, np.inf, np.inf]))
 
+    def evaluate(self, point):
+        """Evaluate the surface equation at a given point.
+
+        Parameters
+        ----------
+        point : 3-tuple of float
+            The Cartesian coordinates, :math:`(x',y',z')`, at which the surface
+            equation should be evaluated.
+
+        Returns
+        -------
+        float
+            :math:`x' - x_0`
+
+        """
+        return point[0] - self.x0
+
 
 class YPlane(Plane):
-    """A plane perpendicular to the y axis, i.e. a surface of the form :math:`y -
-    y_0 = 0`
+    """A plane perpendicular to the y axis of the form :math:`y - y_0 = 0`
 
     Parameters
     ----------
-    surface_id : int
+    surface_id : int, optional
         Unique identifier for the surface. If not specified, an identifier will
         automatically be assigned.
-    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}
+    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}, optional
         Boundary condition that defines the behavior for particles hitting the
         surface. Defaults to transmissive boundary condition where particles
-        freely pass through the surface.
-    y0 : float
+        freely pass through the surface. Only axis-aligned periodicity is
+        supported, i.e., x-planes can only be paired with x-planes.
+    y0 : float, optional
         Location of the plane
-    name : str
+    name : str, optional
         Name of the plane. If not specified, the name will be the empty string.
 
     Attributes
     ----------
     y0 : float
         Location of the plane
+    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}
+        Boundary condition that defines the behavior for particles hitting the
+        surface.
+    periodic_surface : openmc.Surface
+        If a periodic boundary condition is used, the surface with which this
+        one is periodic with
+    coefficients : dict
+        Dictionary of surface coefficients
+    id : int
+        Unique identifier for the surface
+    name : str
+        Name of the surface
+    type : str
+        Type of the surface
 
     """
 
     def __init__(self, surface_id=None, boundary_type='transmission',
-                 y0=None, name=''):
+                 y0=0., name=''):
         # Initialize YPlane class attributes
         super(YPlane, self).__init__(surface_id, boundary_type, name=name)
 
         self._type = 'y-plane'
         self._coeff_keys = ['y0']
-        self._coeffs['y0'] = 0.
-
-        if y0 is not None:
-            self.y0 = y0
+        self.y0 = y0
 
     @property
     def y0(self):
-        return self.coeffs['y0']
+        return self.coefficients['y0']
 
     @y0.setter
     def y0(self, y0):
         check_type('y0 coefficient', y0, Real)
-        self._coeffs['y0'] = y0
+        self._coefficients['y0'] = y0
 
     def bounding_box(self, side):
         """Determine an axis-aligned bounding box.
@@ -416,10 +502,10 @@ class YPlane(Plane):
 
         Returns
         -------
-        numpy.array
+        numpy.ndarray
             Lower-left coordinates of the axis-aligned bounding box for the
             desired half-space
-        numpy.array
+        numpy.ndarray
             Upper-right coordinates of the axis-aligned bounding box for the
             desired half-space
 
@@ -432,52 +518,80 @@ class YPlane(Plane):
             return (np.array([-np.inf, self.y0, -np.inf]),
                     np.array([np.inf, np.inf, np.inf]))
 
+    def evaluate(self, point):
+        """Evaluate the surface equation at a given point.
+
+        Parameters
+        ----------
+        point : 3-tuple of float
+            The Cartesian coordinates, :math:`(x',y',z')`, at which the surface
+            equation should be evaluated.
+
+        Returns
+        -------
+        float
+            :math:`y' - y_0`
+
+        """
+        return point[1] - self.y0
+
 
 class ZPlane(Plane):
-    """A plane perpendicular to the z axis, i.e. a surface of the form :math:`z -
-    z_0 = 0`
+    """A plane perpendicular to the z axis of the form :math:`z - z_0 = 0`
 
     Parameters
     ----------
-    surface_id : int
+    surface_id : int, optional
         Unique identifier for the surface. If not specified, an identifier will
         automatically be assigned.
-    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}
+    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}, optional
         Boundary condition that defines the behavior for particles hitting the
         surface. Defaults to transmissive boundary condition where particles
-        freely pass through the surface.
-    z0 : float
-        Location of the plane
-    name : str
+        freely pass through the surface. Only axis-aligned periodicity is
+        supported, i.e., x-planes can only be paired with x-planes.
+    z0 : float, optional
+        Location of the plane. Defaults to 0.
+    name : str, optional
         Name of the plane. If not specified, the name will be the empty string.
 
     Attributes
     ----------
     z0 : float
         Location of the plane
+    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}
+        Boundary condition that defines the behavior for particles hitting the
+        surface.
+    periodic_surface : openmc.Surface
+        If a periodic boundary condition is used, the surface with which this
+        one is periodic with
+    coefficients : dict
+        Dictionary of surface coefficients
+    id : int
+        Unique identifier for the surface
+    name : str
+        Name of the surface
+    type : str
+        Type of the surface
 
     """
 
     def __init__(self, surface_id=None, boundary_type='transmission',
-                 z0=None, name=''):
+                 z0=0., name=''):
         # Initialize ZPlane class attributes
         super(ZPlane, self).__init__(surface_id, boundary_type, name=name)
 
         self._type = 'z-plane'
         self._coeff_keys = ['z0']
-        self._coeffs['z0'] = 0.
-
-        if z0 is not None:
-            self.z0 = z0
+        self.z0 = z0
 
     @property
     def z0(self):
-        return self.coeffs['z0']
+        return self.coefficients['z0']
 
     @z0.setter
     def z0(self, z0):
         check_type('z0 coefficient', z0, Real)
-        self._coeffs['z0'] = z0
+        self._coefficients['z0'] = z0
 
     def bounding_box(self, side):
         """Determine an axis-aligned bounding box.
@@ -494,10 +608,10 @@ class ZPlane(Plane):
 
         Returns
         -------
-        numpy.array
+        numpy.ndarray
             Lower-left coordinates of the axis-aligned bounding box for the
             desired half-space
-        numpy.array
+        numpy.ndarray
             Upper-right coordinates of the axis-aligned bounding box for the
             desired half-space
 
@@ -510,22 +624,39 @@ class ZPlane(Plane):
             return (np.array([-np.inf, -np.inf, self.z0]),
                     np.array([np.inf, np.inf, np.inf]))
 
+    def evaluate(self, point):
+        """Evaluate the surface equation at a given point.
+
+        Parameters
+        ----------
+        point : 3-tuple of float
+            The Cartesian coordinates, :math:`(x',y',z')`, at which the surface
+            equation should be evaluated.
+
+        Returns
+        -------
+        float
+            :math:`z' - z_0`
+
+        """
+        return point[2] - self.z0
+
 
 class Cylinder(Surface):
     """A cylinder whose length is parallel to the x-, y-, or z-axis.
 
     Parameters
     ----------
-    surface_id : int
+    surface_id : int, optional
         Unique identifier for the surface. If not specified, an identifier will
         automatically be assigned.
-    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}
+    boundary_type : {'transmission, 'vacuum', 'reflective'}, optional
         Boundary condition that defines the behavior for particles hitting the
         surface. Defaults to transmissive boundary condition where particles
         freely pass through the surface.
-    R : float
-        Radius of the cylinder
-    name : str
+    R : float, optional
+        Radius of the cylinder. Defaults to 1.
+    name : str, optional
         Name of the cylinder. If not specified, the name will be the empty
         string.
 
@@ -533,52 +664,59 @@ class Cylinder(Surface):
     ----------
     r : float
         Radius of the cylinder
+    boundary_type : {'transmission, 'vacuum', 'reflective'}
+        Boundary condition that defines the behavior for particles hitting the
+        surface.
+    coefficients : dict
+        Dictionary of surface coefficients
+    id : int
+        Unique identifier for the surface
+    name : str
+        Name of the surface
+    type : str
+        Type of the surface
 
     """
 
     __metaclass__ = ABCMeta
 
     def __init__(self, surface_id=None, boundary_type='transmission',
-                 R=None, name=''):
-        # Initialize Cylinder class attributes
+                 R=1., name=''):
         super(Cylinder, self).__init__(surface_id, boundary_type, name=name)
 
         self._coeff_keys = ['R']
-        self._coeffs['R'] = 1.
-
-        if R is not None:
-            self.r = R
+        self.r = R
 
     @property
     def r(self):
-        return self.coeffs['R']
+        return self.coefficients['R']
 
     @r.setter
     def r(self, R):
         check_type('R coefficient', R, Real)
-        self._coeffs['R'] = R
+        self._coefficients['R'] = R
 
 
 class XCylinder(Cylinder):
-    """An infinite cylinder whose length is parallel to the x-axis. This is a
-    quadratic surface of the form :math:`(y - y_0)^2 + (z - z_0)^2 = R^2`.
+    """An infinite cylinder whose length is parallel to the x-axis of the form
+    :math:`(y - y_0)^2 + (z - z_0)^2 = R^2`.
 
     Parameters
     ----------
-    surface_id : int
+    surface_id : int, optional
         Unique identifier for the surface. If not specified, an identifier will
         automatically be assigned.
-    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}
+    boundary_type : {'transmission, 'vacuum', 'reflective'}, optional
         Boundary condition that defines the behavior for particles hitting the
         surface. Defaults to transmissive boundary condition where particles
         freely pass through the surface.
-    y0 : float
-        y-coordinate of the center of the cylinder
-    z0 : float
-        z-coordinate of the center of the cylinder
-    R : float
-        Radius of the cylinder
-    name : str
+    y0 : float, optional
+        y-coordinate of the center of the cylinder. Defaults to 0.
+    z0 : float, optional
+        z-coordinate of the center of the cylinder. Defaults to 0.
+    R : float, optional
+        Radius of the cylinder. Defaults to 0.
+    name : str, optional
         Name of the cylinder. If not specified, the name will be the empty
         string.
 
@@ -588,42 +726,46 @@ class XCylinder(Cylinder):
         y-coordinate of the center of the cylinder
     z0 : float
         z-coordinate of the center of the cylinder
+    boundary_type : {'transmission, 'vacuum', 'reflective'}
+        Boundary condition that defines the behavior for particles hitting the
+        surface.
+    coefficients : dict
+        Dictionary of surface coefficients
+    id : int
+        Unique identifier for the surface
+    name : str
+        Name of the surface
+    type : str
+        Type of the surface
 
     """
 
     def __init__(self, surface_id=None, boundary_type='transmission',
-                 y0=None, z0=None, R=None, name=''):
-        # Initialize XCylinder class attributes
+                 y0=0., z0=0., R=1., name=''):
         super(XCylinder, self).__init__(surface_id, boundary_type, R, name=name)
 
         self._type = 'x-cylinder'
         self._coeff_keys = ['y0', 'z0', 'R']
-        self._coeffs['y0'] = 0.
-        self._coeffs['z0'] = 0.
-
-        if y0 is not None:
-            self.y0 = y0
-
-        if z0 is not None:
-            self.z0 = z0
+        self.y0 = y0
+        self.z0 = z0
 
     @property
     def y0(self):
-        return self.coeffs['y0']
+        return self.coefficients['y0']
 
     @property
     def z0(self):
-        return self.coeffs['z0']
+        return self.coefficients['z0']
 
     @y0.setter
     def y0(self, y0):
         check_type('y0 coefficient', y0, Real)
-        self._coeffs['y0'] = y0
+        self._coefficients['y0'] = y0
 
     @z0.setter
     def z0(self, z0):
         check_type('z0 coefficient', z0, Real)
-        self._coeffs['z0'] = z0
+        self._coefficients['z0'] = z0
 
     def bounding_box(self, side):
         """Determine an axis-aligned bounding box.
@@ -641,10 +783,10 @@ class XCylinder(Cylinder):
 
         Returns
         -------
-        numpy.array
+        numpy.ndarray
             Lower-left coordinates of the axis-aligned bounding box for the
             desired half-space
-        numpy.array
+        numpy.ndarray
             Upper-right coordinates of the axis-aligned bounding box for the
             desired half-space
 
@@ -657,27 +799,46 @@ class XCylinder(Cylinder):
             return (np.array([-np.inf, -np.inf, -np.inf]),
                     np.array([np.inf, np.inf, np.inf]))
 
+    def evaluate(self, point):
+        """Evaluate the surface equation at a given point.
+
+        Parameters
+        ----------
+        point : 3-tuple of float
+            The Cartesian coordinates, :math:`(x',y',z')`, at which the surface
+            equation should be evaluated.
+
+        Returns
+        -------
+        float
+            :math:`(y' - y_0)^2 + (z' - z_0)^2 - R^2`
+
+        """
+        y = point[1] - self.y0
+        z = point[2] - self.z0
+        return y**2 + z**2 - self.r**2
+
 
 class YCylinder(Cylinder):
-    """An infinite cylinder whose length is parallel to the y-axis. This is a
-    quadratic surface of the form :math:`(x - x_0)^2 + (z - z_0)^2 = R^2`.
+    """An infinite cylinder whose length is parallel to the y-axis of the form
+    :math:`(x - x_0)^2 + (z - z_0)^2 = R^2`.
 
     Parameters
     ----------
-    surface_id : int
+    surface_id : int, optional
         Unique identifier for the surface. If not specified, an identifier will
         automatically be assigned.
-    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}
+    boundary_type : {'transmission, 'vacuum', 'reflective'}, optional
         Boundary condition that defines the behavior for particles hitting the
         surface. Defaults to transmissive boundary condition where particles
         freely pass through the surface.
-    x0 : float
-        x-coordinate of the center of the cylinder
-    z0 : float
-        z-coordinate of the center of the cylinder
-    R : float
-        Radius of the cylinder
-    name : str
+    x0 : float, optional
+        x-coordinate of the center of the cylinder. Defaults to 0.
+    z0 : float, optional
+        z-coordinate of the center of the cylinder. Defaults to 0.
+    R : float, optional
+        Radius of the cylinder. Defaults to 1.
+    name : str, optional
         Name of the cylinder. If not specified, the name will be the empty
         string.
 
@@ -687,42 +848,46 @@ class YCylinder(Cylinder):
         x-coordinate of the center of the cylinder
     z0 : float
         z-coordinate of the center of the cylinder
+    boundary_type : {'transmission, 'vacuum', 'reflective'}
+        Boundary condition that defines the behavior for particles hitting the
+        surface.
+    coefficients : dict
+        Dictionary of surface coefficients
+    id : int
+        Unique identifier for the surface
+    name : str
+        Name of the surface
+    type : str
+        Type of the surface
 
     """
 
     def __init__(self, surface_id=None, boundary_type='transmission',
-                 x0=None, z0=None, R=None, name=''):
-        # Initialize YCylinder class attributes
+                 x0=0., z0=0., R=1., name=''):
         super(YCylinder, self).__init__(surface_id, boundary_type, R, name=name)
 
         self._type = 'y-cylinder'
         self._coeff_keys = ['x0', 'z0', 'R']
-        self._coeffs['x0'] = 0.
-        self._coeffs['z0'] = 0.
-
-        if x0 is not None:
-            self.x0 = x0
-
-        if z0 is not None:
-            self.z0 = z0
+        self.x0 = x0
+        self.z0 = z0
 
     @property
     def x0(self):
-        return self.coeffs['x0']
+        return self.coefficients['x0']
 
     @property
     def z0(self):
-        return self.coeffs['z0']
+        return self.coefficients['z0']
 
     @x0.setter
     def x0(self, x0):
         check_type('x0 coefficient', x0, Real)
-        self._coeffs['x0'] = x0
+        self._coefficients['x0'] = x0
 
     @z0.setter
     def z0(self, z0):
         check_type('z0 coefficient', z0, Real)
-        self._coeffs['z0'] = z0
+        self._coefficients['z0'] = z0
 
     def bounding_box(self, side):
         """Determine an axis-aligned bounding box.
@@ -740,10 +905,10 @@ class YCylinder(Cylinder):
 
         Returns
         -------
-        numpy.array
+        numpy.ndarray
             Lower-left coordinates of the axis-aligned bounding box for the
             desired half-space
-        numpy.array
+        numpy.ndarray
             Upper-right coordinates of the axis-aligned bounding box for the
             desired half-space
 
@@ -756,27 +921,46 @@ class YCylinder(Cylinder):
             return (np.array([-np.inf, -np.inf, -np.inf]),
                     np.array([np.inf, np.inf, np.inf]))
 
+    def evaluate(self, point):
+        """Evaluate the surface equation at a given point.
+
+        Parameters
+        ----------
+        point : 3-tuple of float
+            The Cartesian coordinates, :math:`(x',y',z')`, at which the surface
+            equation should be evaluated.
+
+        Returns
+        -------
+        float
+            :math:`(x' - x_0)^2 + (z' - z_0)^2 - R^2`
+
+        """
+        x = point[0] - self.x0
+        z = point[2] - self.z0
+        return x**2 + z**2 - self.r**2
+
 
 class ZCylinder(Cylinder):
-    """An infinite cylinder whose length is parallel to the z-axis. This is a
-    quadratic surface of the form :math:`(x - x_0)^2 + (y - y_0)^2 = R^2`.
+    """An infinite cylinder whose length is parallel to the z-axis of the form
+    :math:`(x - x_0)^2 + (y - y_0)^2 = R^2`.
 
     Parameters
     ----------
-    surface_id : int
+    surface_id : int, optional
         Unique identifier for the surface. If not specified, an identifier will
         automatically be assigned.
-    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}
+    boundary_type : {'transmission, 'vacuum', 'reflective'}, optional
         Boundary condition that defines the behavior for particles hitting the
         surface. Defaults to transmissive boundary condition where particles
         freely pass through the surface.
-    x0 : float
-        x-coordinate of the center of the cylinder
-    y0 : float
-        y-coordinate of the center of the cylinder
-    R : float
-        Radius of the cylinder
-    name : str
+    x0 : float, optional
+        x-coordinate of the center of the cylinder. Defaults to 0.
+    y0 : float, optional
+        y-coordinate of the center of the cylinder. Defaults to 0.
+    R : float, optional
+        Radius of the cylinder. Defaults to 1.
+    name : str, optional
         Name of the cylinder. If not specified, the name will be the empty
         string.
 
@@ -786,42 +970,46 @@ class ZCylinder(Cylinder):
         x-coordinate of the center of the cylinder
     y0 : float
         y-coordinate of the center of the cylinder
+    boundary_type : {'transmission, 'vacuum', 'reflective'}
+        Boundary condition that defines the behavior for particles hitting the
+        surface.
+    coefficients : dict
+        Dictionary of surface coefficients
+    id : int
+        Unique identifier for the surface
+    name : str
+        Name of the surface
+    type : str
+        Type of the surface
 
     """
 
     def __init__(self, surface_id=None, boundary_type='transmission',
-                 x0=None, y0=None, R=None, name=''):
-        # Initialize ZCylinder class attributes
+                 x0=0., y0=0., R=1., name=''):
         super(ZCylinder, self).__init__(surface_id, boundary_type, R, name=name)
 
         self._type = 'z-cylinder'
         self._coeff_keys = ['x0', 'y0', 'R']
-        self._coeffs['x0'] = 0.
-        self._coeffs['y0'] = 0.
-
-        if x0 is not None:
-            self.x0 = x0
-
-        if y0 is not None:
-            self.y0 = y0
+        self.x0 = x0
+        self.y0 = y0
 
     @property
     def x0(self):
-        return self.coeffs['x0']
+        return self.coefficients['x0']
 
     @property
     def y0(self):
-        return self.coeffs['y0']
+        return self.coefficients['y0']
 
     @x0.setter
     def x0(self, x0):
         check_type('x0 coefficient', x0, Real)
-        self._coeffs['x0'] = x0
+        self._coefficients['x0'] = x0
 
     @y0.setter
     def y0(self, y0):
         check_type('y0 coefficient', y0, Real)
-        self._coeffs['y0'] = y0
+        self._coefficients['y0'] = y0
 
     def bounding_box(self, side):
         """Determine an axis-aligned bounding box.
@@ -839,10 +1027,10 @@ class ZCylinder(Cylinder):
 
         Returns
         -------
-        numpy.array
+        numpy.ndarray
             Lower-left coordinates of the axis-aligned bounding box for the
             desired half-space
-        numpy.array
+        numpy.ndarray
             Upper-right coordinates of the axis-aligned bounding box for the
             desired half-space
 
@@ -855,28 +1043,47 @@ class ZCylinder(Cylinder):
             return (np.array([-np.inf, -np.inf, -np.inf]),
                     np.array([np.inf, np.inf, np.inf]))
 
+    def evaluate(self, point):
+        """Evaluate the surface equation at a given point.
+
+        Parameters
+        ----------
+        point : 3-tuple of float
+            The Cartesian coordinates, :math:`(x',y',z')`, at which the surface
+            equation should be evaluated.
+
+        Returns
+        -------
+        float
+            :math:`(x' - x_0)^2 + (y' - y_0)^2 - R^2`
+
+        """
+        x = point[0] - self.x0
+        y = point[1] - self.y0
+        return x**2 + y**2 - self.r**2
+
 
 class Sphere(Surface):
     """A sphere of the form :math:`(x - x_0)^2 + (y - y_0)^2 + (z - z_0)^2 = R^2`.
 
     Parameters
     ----------
-    surface_id : int
+    surface_id : int, optional
         Unique identifier for the surface. If not specified, an identifier will
         automatically be assigned.
-    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}
+    boundary_type : {'transmission, 'vacuum', 'reflective'}, optional
         Boundary condition that defines the behavior for particles hitting the
         surface. Defaults to transmissive boundary condition where particles
         freely pass through the surface.
-    x0 : float
-        x-coordinate of the center of the sphere
-    y0 : float
-        y-coordinate of the center of the sphere
-    z0 : float
-        z-coordinate of the center of the sphere
-    R : float
-        Radius of the sphere
-    name : str
+    x0 : float, optional
+        x-coordinate of the center of the sphere. Defaults to 0.
+    y0 : float, optional
+        y-coordinate of the center of the sphere. Defaults to 0.
+    z0 : float, optional
+        z-coordinate of the center of the sphere. Defaults to 0.
+    R : float, optional
+        Radius of the sphere. Defaults to 1.
+    name : str, optional
         Name of the sphere. If not specified, the name will be the empty string.
 
     Attributes
@@ -889,68 +1096,66 @@ class Sphere(Surface):
         z-coordinate of the center of the sphere
     R : float
         Radius of the sphere
+    boundary_type : {'transmission, 'vacuum', 'reflective'}
+        Boundary condition that defines the behavior for particles hitting the
+        surface.
+    coefficients : dict
+        Dictionary of surface coefficients
+    id : int
+        Unique identifier for the surface
+    name : str
+        Name of the surface
+    type : str
+        Type of the surface
 
     """
 
     def __init__(self, surface_id=None, boundary_type='transmission',
-                 x0=None, y0=None, z0=None, R=None, name=''):
-        # Initialize Sphere class attributes
+                 x0=0., y0=0., z0=0., R=1., name=''):
         super(Sphere, self).__init__(surface_id, boundary_type, name=name)
 
         self._type = 'sphere'
         self._coeff_keys = ['x0', 'y0', 'z0', 'R']
-        self._coeffs['x0'] = 0.
-        self._coeffs['y0'] = 0.
-        self._coeffs['z0'] = 0.
-        self._coeffs['R'] = 1.
-
-        if x0 is not None:
-            self.x0 = x0
-
-        if y0 is not None:
-            self.y0 = y0
-
-        if z0 is not None:
-            self.z0 = z0
-
-        if R is not None:
-            self.r = R
+        self.x0 = x0
+        self.y0 = y0
+        self.z0 = z0
+        self.r = R
 
     @property
     def x0(self):
-        return self.coeffs['x0']
+        return self.coefficients['x0']
 
     @property
     def y0(self):
-        return self.coeffs['y0']
+        return self.coefficients['y0']
 
     @property
     def z0(self):
-        return self.coeffs['z0']
+        return self.coefficients['z0']
 
     @property
     def r(self):
-        return self.coeffs['R']
+        return self.coefficients['R']
 
     @x0.setter
     def x0(self, x0):
         check_type('x0 coefficient', x0, Real)
-        self._coeffs['x0'] = x0
+        self._coefficients['x0'] = x0
 
     @y0.setter
     def y0(self, y0):
         check_type('y0 coefficient', y0, Real)
-        self._coeffs['y0'] = y0
+        self._coefficients['y0'] = y0
 
     @z0.setter
     def z0(self, z0):
         check_type('z0 coefficient', z0, Real)
-        self._coeffs['z0'] = z0
+        self._coefficients['z0'] = z0
 
     @r.setter
     def r(self, R):
         check_type('R coefficient', R, Real)
-        self._coeffs['R'] = R
+        self._coefficients['R'] = R
 
     def bounding_box(self, side):
         """Determine an axis-aligned bounding box.
@@ -967,10 +1172,10 @@ class Sphere(Surface):
 
         Returns
         -------
-        numpy.array
+        numpy.ndarray
             Lower-left coordinates of the axis-aligned bounding box for the
             desired half-space
-        numpy.array
+        numpy.ndarray
             Upper-right coordinates of the axis-aligned bounding box for the
             desired half-space
 
@@ -985,27 +1190,47 @@ class Sphere(Surface):
             return (np.array([-np.inf, -np.inf, -np.inf]),
                     np.array([np.inf, np.inf, np.inf]))
 
+    def evaluate(self, point):
+        """Evaluate the surface equation at a given point.
+
+        Parameters
+        ----------
+        point : 3-tuple of float
+            The Cartesian coordinates, :math:`(x',y',z')`, at which the surface
+            equation should be evaluated.
+
+        Returns
+        -------
+        float
+            :math:`(x' - x_0)^2 + (y' - y_0)^2 + (z' - z_0)^2 - R^2`
+
+        """
+        x = point[0] - self.x0
+        y = point[1] - self.y0
+        z = point[2] - self.z0
+        return x**2 + y**2 + z**2 - self.r**2
+
 
 class Cone(Surface):
     """A conical surface parallel to the x-, y-, or z-axis.
 
     Parameters
     ----------
-    surface_id : int
+    surface_id : int, optional
         Unique identifier for the surface. If not specified, an identifier will
         automatically be assigned.
-    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}
+    boundary_type : {'transmission, 'vacuum', 'reflective'}, optional
         Boundary condition that defines the behavior for particles hitting the
         surface. Defaults to transmissive boundary condition where particles
         freely pass through the surface.
-    x0 : float
-        x-coordinate of the apex
+    x0 : float, optional
+        x-coordinate of the apex. Defaults to 0.
     y0 : float
-        y-coordinate of the apex
+        y-coordinate of the apex. Defaults to 0.
     z0 : float
-        z-coordinate of the apex
+        z-coordinate of the apex. Defaults to 0.
     R2 : float
-        Parameter related to the aperature
+        Parameter related to the aperature. Defaults to 1.
     name : str
         Name of the cone. If not specified, the name will be the empty string.
 
@@ -1019,69 +1244,67 @@ class Cone(Surface):
         z-coordinate of the apex
     R2 : float
         Parameter related to the aperature
+    boundary_type : {'transmission, 'vacuum', 'reflective'}
+        Boundary condition that defines the behavior for particles hitting the
+        surface.
+    coefficients : dict
+        Dictionary of surface coefficients
+    id : int
+        Unique identifier for the surface
+    name : str
+        Name of the surface
+    type : str
+        Type of the surface
 
     """
 
     __metaclass__ = ABCMeta
 
     def __init__(self, surface_id=None, boundary_type='transmission',
-                 x0=None, y0=None, z0=None, R2=None, name=''):
-        # Initialize Cone class attributes
+                 x0=0., y0=0., z0=0., R2=1., name=''):
         super(Cone, self).__init__(surface_id, boundary_type, name=name)
 
         self._coeff_keys = ['x0', 'y0', 'z0', 'R2']
-        self._coeffs['x0'] = 0.
-        self._coeffs['y0'] = 0.
-        self._coeffs['z0'] = 0.
-        self._coeffs['R2'] = 1.
-
-        if x0 is not None:
-            self.x0 = x0
-
-        if y0 is not None:
-            self.y0 = y0
-
-        if z0 is not None:
-            self.z0 = z0
-
-        if R2 is not None:
-            self.r2 = R2
+        self.x0 = x0
+        self.y0 = y0
+        self.z0 = z0
+        self.r2 = R2
 
     @property
     def x0(self):
-        return self.coeffs['x0']
+        return self.coefficients['x0']
 
     @property
     def y0(self):
-        return self.coeffs['y0']
+        return self.coefficients['y0']
 
     @property
     def z0(self):
-        return self.coeffs['z0']
+        return self.coefficients['z0']
 
     @property
     def r2(self):
-        return self.coeffs['r2']
+        return self.coefficients['r2']
 
     @x0.setter
     def x0(self, x0):
         check_type('x0 coefficient', x0, Real)
-        self._coeffs['x0'] = x0
+        self._coefficients['x0'] = x0
 
     @y0.setter
     def y0(self, y0):
         check_type('y0 coefficient', y0, Real)
-        self._coeffs['y0'] = y0
+        self._coefficients['y0'] = y0
 
     @z0.setter
     def z0(self, z0):
         check_type('z0 coefficient', z0, Real)
-        self._coeffs['z0'] = z0
+        self._coefficients['z0'] = z0
 
     @r2.setter
     def r2(self, R2):
         check_type('R^2 coefficient', R2, Real)
-        self._coeffs['R2'] = R2
+        self._coefficients['R2'] = R2
 
 
 class XCone(Cone):
@@ -1090,22 +1313,22 @@ class XCone(Cone):
 
     Parameters
     ----------
-    surface_id : int
+    surface_id : int, optional
         Unique identifier for the surface. If not specified, an identifier will
         automatically be assigned.
-    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}
+    boundary_type : {'transmission, 'vacuum', 'reflective'}, optional
         Boundary condition that defines the behavior for particles hitting the
         surface. Defaults to transmissive boundary condition where particles
         freely pass through the surface.
-    x0 : float
-        x-coordinate of the apex
-    y0 : float
-        y-coordinate of the apex
-    z0 : float
-        z-coordinate of the apex
-    R2 : float
-        Parameter related to the aperature
-    name : str
+    x0 : float, optional
+        x-coordinate of the apex. Defaults to 0.
+    y0 : float, optional
+        y-coordinate of the apex. Defaults to 0.
+    z0 : float, optional
+        z-coordinate of the apex. Defaults to 0.
+    R2 : float, optional
+        Parameter related to the aperature. Defaults to 1.
+    name : str, optional
         Name of the cone. If not specified, the name will be the empty string.
 
     Attributes
@@ -1118,17 +1341,47 @@ class XCone(Cone):
         z-coordinate of the apex
     R2 : float
         Parameter related to the aperature
+    boundary_type : {'transmission, 'vacuum', 'reflective'}
+        Boundary condition that defines the behavior for particles hitting the
+        surface.
+    coefficients : dict
+        Dictionary of surface coefficients
+    id : int
+        Unique identifier for the surface
+    name : str
+        Name of the surface
+    type : str
+        Type of the surface
 
     """
 
     def __init__(self, surface_id=None, boundary_type='transmission',
-                 x0=None, y0=None, z0=None, R2=None, name=''):
-        # Initialize XCone class attributes
+                 x0=0., y0=0., z0=0., R2=1., name=''):
         super(XCone, self).__init__(surface_id, boundary_type, x0, y0,
                                     z0, R2, name=name)
 
         self._type = 'x-cone'
 
+    def evaluate(self, point):
+        """Evaluate the surface equation at a given point.
+
+        Parameters
+        ----------
+        point : 3-tuple of float
+            The Cartesian coordinates, :math:`(x',y',z')`, at which the surface
+            equation should be evaluated.
+
+        Returns
+        -------
+        float
+            :math:`(y' - y_0)^2 + (z' - z_0)^2 - R^2(x' - x_0)^2`
+
+        """
+        x = point[0] - self.x0
+        y = point[1] - self.y0
+        z = point[2] - self.z0
+        return y**2 + z**2 - self.r2*x**2
+
 
 class YCone(Cone):
     """A cone parallel to the y-axis of the form :math:`(x - x_0)^2 + (z - z_0)^2 =
@@ -1136,22 +1389,22 @@ class YCone(Cone):
 
     Parameters
     ----------
-    surface_id : int
+    surface_id : int, optional
         Unique identifier for the surface. If not specified, an identifier will
         automatically be assigned.
-    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}
+    boundary_type : {'transmission, 'vacuum', 'reflective'}, optional
         Boundary condition that defines the behavior for particles hitting the
         surface. Defaults to transmissive boundary condition where particles
         freely pass through the surface.
-    x0 : float
-        x-coordinate of the apex
-    y0 : float
-        y-coordinate of the apex
-    z0 : float
-        z-coordinate of the apex
-    R2 : float
-        Parameter related to the aperature
-    name : str
+    x0 : float, optional
+        x-coordinate of the apex. Defaults to 0.
+    y0 : float, optional
+        y-coordinate of the apex. Defaults to 0.
+    z0 : float, optional
+        z-coordinate of the apex. Defaults to 0.
+    R2 : float, optional
+        Parameter related to the aperature. Defaults to 1.
+    name : str, optional
         Name of the cone. If not specified, the name will be the empty string.
 
     Attributes
@@ -1164,17 +1417,47 @@ class YCone(Cone):
         z-coordinate of the apex
     R2 : float
         Parameter related to the aperature
+    boundary_type : {'transmission, 'vacuum', 'reflective'}
+        Boundary condition that defines the behavior for particles hitting the
+        surface.
+    coefficients : dict
+        Dictionary of surface coefficients
+    id : int
+        Unique identifier for the surface
+    name : str
+        Name of the surface
+    type : str
+        Type of the surface
 
     """
 
     def __init__(self, surface_id=None, boundary_type='transmission',
-                 x0=None, y0=None, z0=None, R2=None, name=''):
-        # Initialize YCone class attributes
+                 x0=0., y0=0., z0=0., R2=1., name=''):
         super(YCone, self).__init__(surface_id, boundary_type, x0, y0, z0,
                                     R2, name=name)
 
         self._type = 'y-cone'
 
+    def evaluate(self, point):
+        """Evaluate the surface equation at a given point.
+
+        Parameters
+        ----------
+        point : 3-tuple of float
+            The Cartesian coordinates, :math:`(x',y',z')`, at which the surface
+            equation should be evaluated.
+
+        Returns
+        -------
+        float
+            :math:`(x' - x_0)^2 + (z' - z_0)^2 - R^2(y' - y_0)^2`
+
+        """
+        x = point[0] - self.x0
+        y = point[1] - self.y0
+        z = point[2] - self.z0
+        return x**2 + z**2 - self.r2*y**2
+
 
 class ZCone(Cone):
     """A cone parallel to the x-axis of the form :math:`(x - x_0)^2 + (y - y_0)^2 =
@@ -1182,22 +1465,22 @@ class ZCone(Cone):
 
     Parameters
     ----------
-    surface_id : int
+    surface_id : int, optional
         Unique identifier for the surface. If not specified, an identifier will
         automatically be assigned.
-    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}
+    boundary_type : {'transmission, 'vacuum', 'reflective'}, optional
         Boundary condition that defines the behavior for particles hitting the
         surface. Defaults to transmissive boundary condition where particles
         freely pass through the surface.
-    x0 : float
-        x-coordinate of the apex
-    y0 : float
-        y-coordinate of the apex
-    z0 : float
-        z-coordinate of the apex
-    R2 : float
-        Parameter related to the aperature
-    name : str
+    x0 : float, optional
+        x-coordinate of the apex. Defaults to 0.
+    y0 : float, optional
+        y-coordinate of the apex. Defaults to 0.
+    z0 : float, optional
+        z-coordinate of the apex. Defaults to 0.
+    R2 : float, optional
+        Parameter related to the aperature. Defaults to 1.
+    name : str, optional
         Name of the cone. If not specified, the name will be the empty string.
 
     Attributes
@@ -1210,164 +1493,212 @@ class ZCone(Cone):
         z-coordinate of the apex
     R2 : float
         Parameter related to the aperature
+    boundary_type : {'transmission, 'vacuum', 'reflective'}
+        Boundary condition that defines the behavior for particles hitting the
+        surface.
+    coefficients : dict
+        Dictionary of surface coefficients
+    id : int
+        Unique identifier for the surface
+    name : str
+        Name of the surface
+    type : str
+        Type of the surface
 
     """
 
     def __init__(self, surface_id=None, boundary_type='transmission',
-                 x0=None, y0=None, z0=None, R2=None, name=''):
-        # Initialize ZCone class attributes
+                 x0=0., y0=0., z0=0., R2=1., name=''):
         super(ZCone, self).__init__(surface_id, boundary_type, x0, y0, z0,
                                     R2, name=name)
 
         self._type = 'z-cone'
 
+    def evaluate(self, point):
+        """Evaluate the surface equation at a given point.
+
+        Parameters
+        ----------
+        point : 3-tuple of float
+            The Cartesian coordinates, :math:`(x',y',z')`, at which the surface
+            equation should be evaluated.
+
+        Returns
+        -------
+        float
+            :math:`(x' - x_0)^2 + (y' - y_0)^2 - R^2(z' - z_0)^2`
+
+        """
+        x = point[0] - self.x0
+        y = point[1] - self.y0
+        z = point[2] - self.z0
+        return x**2 + y**2 - self.r2*z**2
+
 
 class Quadric(Surface):
-    """A sphere of the form :math:`Ax^2 + By^2 + Cz^2 + Dxy + Eyz + Fxz + Gx + Hy +
-    Jz + K`.
+    """A surface of the form :math:`Ax^2 + By^2 + Cz^2 + Dxy + Eyz + Fxz + Gx + Hy +
+    Jz + K = 0`.
 
     Parameters
     ----------
-    surface_id : int
+    surface_id : int, optional
         Unique identifier for the surface. If not specified, an identifier will
         automatically be assigned.
-    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}
+    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}, optional
         Boundary condition that defines the behavior for particles hitting the
         surface. Defaults to transmissive boundary condition where particles
         freely pass through the surface.
-    a, b, c, d, e, f, g, h, j, k : float
-        coefficients for the surface
-    name : str
+    a, b, c, d, e, f, g, h, j, k : float, optional
+        coefficients for the surface. All default to 0.
+    name : str, optional
         Name of the sphere. If not specified, the name will be the empty string.
 
     Attributes
     ----------
     a, b, c, d, e, f, g, h, j, k : float
         coefficients for the surface
+    boundary_type : {'transmission, 'vacuum', 'reflective', 'periodic'}
+        Boundary condition that defines the behavior for particles hitting the
+        surface.
+    coefficients : dict
+        Dictionary of surface coefficients
+    id : int
+        Unique identifier for the surface
+    name : str
+        Name of the surface
+    type : str
+        Type of the surface
 
     """
 
     def __init__(self, surface_id=None, boundary_type='transmission',
-                 a=None, b=None, c=None, d=None, e=None, f=None, g=None,
-                 h=None, j=None, k=None, name=''):
-        # Initialize Quadric class attributes
+                 a=0., b=0., c=0., d=0., e=0., f=0., g=0.,
+                 h=0., j=0., k=0., name=''):
         super(Quadric, self).__init__(surface_id, boundary_type, name=name)
 
         self._type = 'quadric'
         self._coeff_keys = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'j', 'k']
-        for key in self._coeff_keys:
-            self._coeffs[key] = 0.
-
-        if a is not None:
-            self.a = a
-        if b is not None:
-            self.b = b
-        if c is not None:
-            self.c = c
-        if d is not None:
-            self.d = d
-        if e is not None:
-            self.e = e
-        if f is not None:
-            self.f = f
-        if g is not None:
-            self.g = g
-        if h is not None:
-            self.h = h
-        if j is not None:
-            self.j = j
-        if k is not None:
-            self.k = k
+        self.a = a
+        self.b = b
+        self.c = c
+        self.d = d
+        self.e = e
+        self.f = f
+        self.g = g
+        self.h = h
+        self.j = j
+        self.k = k
 
     @property
     def a(self):
-        return self.coeffs['a']
+        return self.coefficients['a']
 
     @property
     def b(self):
-        return self.coeffs['b']
+        return self.coefficients['b']
 
     @property
     def c(self):
-        return self.coeffs['c']
+        return self.coefficients['c']
 
     @property
     def d(self):
-        return self.coeffs['d']
+        return self.coefficients['d']
 
     @property
     def e(self):
-        return self.coeffs['e']
+        return self.coefficients['e']
 
     @property
     def f(self):
-        return self.coeffs['f']
+        return self.coefficients['f']
 
     @property
     def g(self):
-        return self.coeffs['g']
+        return self.coefficients['g']
 
     @property
     def h(self):
-        return self.coeffs['h']
+        return self.coefficients['h']
 
     @property
     def j(self):
-        return self.coeffs['j']
+        return self.coefficients['j']
 
     @property
     def k(self):
-        return self.coeffs['k']
+        return self.coefficients['k']
 
     @a.setter
     def a(self, a):
         check_type('a coefficient', a, Real)
-        self._coeffs['a'] = a
+        self._coefficients['a'] = a
 
     @b.setter
     def b(self, b):
         check_type('b coefficient', b, Real)
-        self._coeffs['b'] = b
+        self._coefficients['b'] = b
 
     @c.setter
     def c(self, c):
         check_type('c coefficient', c, Real)
-        self._coeffs['c'] = c
+        self._coefficients['c'] = c
 
     @d.setter
     def d(self, d):
         check_type('d coefficient', d, Real)
-        self._coeffs['d'] = d
+        self._coefficients['d'] = d
 
     @e.setter
     def e(self, e):
         check_type('e coefficient', e, Real)
-        self._coeffs['e'] = e
+        self._coefficients['e'] = e
 
     @f.setter
     def f(self, f):
         check_type('f coefficient', f, Real)
-        self._coeffs['f'] = f
+        self._coefficients['f'] = f
 
     @g.setter
     def g(self, g):
         check_type('g coefficient', g, Real)
-        self._coeffs['g'] = g
+        self._coefficients['g'] = g
 
     @h.setter
     def h(self, h):
         check_type('h coefficient', h, Real)
-        self._coeffs['h'] = h
+        self._coefficients['h'] = h
 
     @j.setter
     def j(self, j):
         check_type('j coefficient', j, Real)
-        self._coeffs['j'] = j
+        self._coefficients['j'] = j
 
     @k.setter
     def k(self, k):
         check_type('k coefficient', k, Real)
-        self._coeffs['k'] = k
+        self._coefficients['k'] = k
+
+    def evaluate(self, point):
+        """Evaluate the surface equation at a given point.
+
+        Parameters
+        ----------
+        point : 3-tuple of float
+            The Cartesian coordinates, :math:`(x',y',z')`, at which the surface
+            equation should be evaluated.
+
+        Returns
+        -------
+        float
+            :math:`Ax'^2 + By'^2 + Cz'^2 + Dx'y' + Ey'z' + Fx'z' + Gx' + Hy' +
+            Jz' + K = 0`
+
+        """
+        x, y, z = point
+        return x*(self.a*x + self.d*y + self.g) + \
+            y*(self.b*y + self.e*z + self.h) + \
+            z*(self.c*z + self.f*x + self.j) + self.k
 
 
 class Halfspace(Region):
@@ -1383,7 +1714,7 @@ class Halfspace(Region):
     can be created from an existing Surface through the __neg__ and __pos__
     operators, as the following example demonstrates:
 
-    >>> sphere = openmc.surface.Sphere(surface_id=1, R=10.0)
+    >>> sphere = openmc.Sphere(surface_id=1, R=10.0)
     >>> inside_sphere = -sphere
     >>> outside_sphere = +sphere
     >>> type(inside_sphere)
@@ -1391,18 +1722,18 @@ class Halfspace(Region):
 
     Parameters
     ----------
-    surface : Surface
+    surface : openmc.Surface
         Surface which divides Euclidean space.
     side : {'+', '-'}
         Indicates whether the positive or negative half-space is used.
 
     Attributes
     ----------
-    surface : Surface
+    surface : openmc.Surface
         Surface which divides Euclidean space.
     side : {'+', '-'}
         Indicates whether the positive or negative half-space is used.
-    bounding_box : tuple of numpy.array
+    bounding_box : tuple of numpy.ndarray
         Lower-left and upper-right coordinates of an axis-aligned bounding box
 
     """
@@ -1414,6 +1745,24 @@ class Halfspace(Region):
     def __invert__(self):
         return -self.surface if self.side == '+' else +self.surface
 
+    def __contains__(self, point):
+        """Check whether a point is contained in the half-space.
+
+        Parameters
+        ----------
+        point : 3-tuple of float
+            Cartesian coordinates, :math:`(x',y',z')`, of the point
+
+        Returns
+        -------
+        bool
+            Whether the point is in the half-space
+
+        """
+
+        val = self.surface.evaluate(point)
+        return val >= 0. if self.side == '+' else val < 0.
+
     @property
     def surface(self):
         return self._surface
@@ -1439,3 +1788,47 @@ class Halfspace(Region):
     def __str__(self):
         return '-' + str(self.surface.id) if self.side == '-' \
             else str(self.surface.id)
+
+
+def make_hexagon_region(edge_length=1., orientation='y'):
+    """Create a hexagon region from six surface planes.
+
+    Parameters
+    ----------
+    edge_length : float
+        Length of a side of the hexagon in cm
+    orientation : {'x', 'y'}
+        An 'x' orientation means that two sides of the hexagon are parallel to
+        the x-axis and a 'y' orientation means that two sides of the hexagon are
+        parallel to the y-axis.
+
+    Returns
+    -------
+    openmc.Region
+        The inside of a hexagonal prism
+
+    """
+
+    l = edge_length
+
+    if orientation == 'y':
+        right = XPlane(x0=sqrt(3.)/2.*l)
+        left = XPlane(x0=-sqrt(3.)/2.*l)
+        c = sqrt(3.)/3.
+        upper_right = Plane(A=c, B=1., D=l)  # y = -x/sqrt(3) + a
+        upper_left = Plane(A=-c, B=1., D=l)  # y = x/sqrt(3) + a
+        lower_right = Plane(A=-c, B=1., D=-l) # y = x/sqrt(3) - a
+        lower_left = Plane(A=c, B=1., D=-l)  # y = -x/sqrt(3) - a
+        return Intersection(-right, +left, -upper_right, -upper_left,
+                            +lower_right, +lower_left)
+
+    elif orientation == 'x':
+        top = YPlane(y0=sqrt(3.)/2.*l)
+        bottom = YPlane(y0=-sqrt(3.)/2.*l)
+        c = sqrt(3.)
+        upper_right = Plane(A=c, B=1., D=c*l)  # y = -sqrt(3)*(x - a)
+        lower_right = Plane(A=-c, B=1., D=-c*l)  # y = sqrt(3)*(x + a)
+        lower_left = Plane(A=c, B=1., D=-c*l) # y = -sqrt(3)*(x + a)
+        upper_left = Plane(A=-c, B=1., D=c*l)  # y = sqrt(3)*(x + a)
+        return Intersection(-top, +bottom, -upper_right, +lower_right,
+                            +lower_left, -upper_left)
diff --git a/openmc/tallies.py b/openmc/tallies.py
index 13a219dedd..fab88e2f73 100644
--- a/openmc/tallies.py
+++ b/openmc/tallies.py
@@ -1,31 +1,48 @@
 from __future__ import division
 
-from collections import Iterable, defaultdict
+from collections import Iterable, MutableSequence
 import copy
+from functools import partial
 import os
 import pickle
 import itertools
 from numbers import Integral, Real
-from xml.etree import ElementTree as ET
 import sys
+import warnings
+from xml.etree import ElementTree as ET
 
 import numpy as np
 
-from openmc import Mesh, Filter, Trigger, Nuclide
-from openmc.cross import CrossScore, CrossNuclide, CrossFilter
+from openmc import Filter, Trigger, Nuclide
+from openmc.arithmetic import CrossScore, CrossNuclide, CrossFilter, \
+    AggregateScore, AggregateNuclide, AggregateFilter
 from openmc.filter import _FILTER_TYPES
 import openmc.checkvalue as cv
-from openmc.clean_xml import *
-
+from openmc.clean_xml import clean_xml_indentation
 
 if sys.version_info[0] >= 3:
     basestring = str
 
+
 # "Static" variable for auto-generated Tally IDs
 AUTO_TALLY_ID = 10000
 
+# The tally arithmetic product types. The tensor product performs the full
+# cross product of the data in two tallies with respect to a specified axis
+# (filters, nuclides, or scores). The entrywise product performs the arithmetic
+# operation entrywise across the entries in two tallies with respect to a
+# specified axis.
+_PRODUCT_TYPES = ['tensor', 'entrywise']
+
+# The following indicate acceptable types when setting Tally.scores,
+# Tally.nuclides, and Tally.filters
+_SCORE_CLASSES = (basestring, CrossScore, AggregateScore)
+_NUCLIDE_CLASSES = (basestring, Nuclide, CrossNuclide, AggregateNuclide)
+_FILTER_CLASSES = (Filter, CrossFilter, AggregateFilter)
+
 
 def reset_auto_tally_id():
+    """Reset counter for auto-generated tally IDs."""
     global AUTO_TALLY_ID
     AUTO_TALLY_ID = 10000
 
@@ -36,7 +53,7 @@ class Tally(object):
 
     Parameters
     ----------
-    tally_id : Integral, optional
+    tally_id : int, optional
         Unique identifier for the tally. If none is specified, an identifier
         will automatically be assigned
     name : str, optional
@@ -44,43 +61,49 @@ class Tally(object):
 
     Attributes
     ----------
-    id : Integral
+    id : int
         Unique identifier for the tally
     name : str
         Name of the tally
-    filters : list of openmc.filter.Filter
+    filters : list of openmc.Filter
         List of specified filters for the tally
-    nuclides : list of openmc.nuclide.Nuclide
+    nuclides : list of openmc.Nuclide
         List of nuclides to score results for
     scores : list of str
         List of defined scores, e.g. 'flux', 'fission', etc.
     estimator : {'analog', 'tracklength', 'collision'}
         Type of estimator for the tally
-    triggers : list of openmc.trigger.Trigger
+    triggers : list of openmc.Trigger
         List of tally triggers
-    num_score_bins : Integral
+    num_scores : int
         Total number of scores, accounting for the fact that a single
         user-specified score, e.g. scatter-P3 or flux-Y2,2, might have multiple
         bins
-    num_scores : Integral
-        Total number of user-specified scores
-    num_filter_bins : Integral
+    num_filter_bins : int
         Total number of filter bins accounting for all filters
-    num_bins : Integral
+    num_bins : int
         Total number of bins for the tally
-    num_realizations : Integral
+    shape : 3-tuple of int
+        The shape of the tally data array ordered as the number of filter bins,
+        nuclide bins and score bins
+    num_realizations : int
         Total number of realizations
     with_summary : bool
         Whether or not a Summary has been linked
-    sum : ndarray
+    sum : numpy.ndarray
         An array containing the sum of each independent realization for each bin
-    sum_sq : ndarray
+    sum_sq : numpy.ndarray
         An array containing the sum of each independent realization squared for
         each bin
-    mean : ndarray
+    mean : numpy.ndarray
         An array containing the sample mean for each bin
-    std_dev : ndarray
+    std_dev : numpy.ndarray
         An array containing the sample standard deviation for each bin
+    derived : bool
+        Whether or not the tally is derived from one or more other tallies
+    sparse : bool
+        Whether or not the tally uses SciPy's LIL sparse matrix format for
+        compressed data storage
 
     """
 
@@ -88,13 +111,12 @@ class Tally(object):
         # Initialize Tally class attributes
         self.id = tally_id
         self.name = name
-        self._filters = []
-        self._nuclides = []
-        self._scores = []
+        self._filters = cv.CheckedList(_FILTER_CLASSES, 'tally filters')
+        self._nuclides = cv.CheckedList(_NUCLIDE_CLASSES, 'tally nuclides')
+        self._scores = cv.CheckedList(_SCORE_CLASSES, 'tally scores')
         self._estimator = None
-        self._triggers = []
+        self._triggers = cv.CheckedList(Trigger, 'tally triggers')
 
-        self._num_score_bins = 0
         self._num_realizations = 0
         self._with_summary = False
 
@@ -104,55 +126,11 @@ class Tally(object):
         self._std_dev = None
         self._with_batch_statistics = False
         self._derived = False
+        self._sparse = False
 
         self._sp_filename = None
         self._results_read = False
 
-    def __deepcopy__(self, memo):
-        existing = memo.get(id(self))
-
-        # If this is the first time we have tried to copy this object, create a copy
-        if existing is None:
-            clone = type(self).__new__(type(self))
-            clone.id = self.id
-            clone.name = self.name
-            clone.estimator = self.estimator
-            clone.num_score_bins = self.num_score_bins
-            clone.num_realizations = self.num_realizations
-            clone._sum = copy.deepcopy(self._sum, memo)
-            clone._sum_sq = copy.deepcopy(self._sum_sq, memo)
-            clone._mean = copy.deepcopy(self._mean, memo)
-            clone._std_dev = copy.deepcopy(self._std_dev, memo)
-            clone._with_summary = self.with_summary
-            clone._with_batch_statistics = self.with_batch_statistics
-            clone._derived = self.derived
-            clone._sp_filename = self._sp_filename
-            clone._results_read = self._results_read
-
-            clone._filters = []
-            for filter in self.filters:
-                clone.add_filter(copy.deepcopy(filter, memo))
-
-            clone._nuclides = []
-            for nuclide in self.nuclides:
-                clone.add_nuclide(copy.deepcopy(nuclide, memo))
-
-            clone._scores = []
-            for score in self.scores:
-                clone.add_score(score)
-
-            clone._triggers = []
-            for trigger in self.triggers:
-                clone.add_trigger(trigger)
-
-            memo[id(self)] = clone
-
-            return clone
-
-        # If this object has been copied before, return the first copy made
-        else:
-            return existing
-
     def __eq__(self, other):
         if not isinstance(other, Tally):
             return False
@@ -161,8 +139,8 @@ class Tally(object):
         if len(self.filters) != len(other.filters):
             return False
 
-        for filter in self.filters:
-            if filter not in other.filters:
+        for self_filter in self.filters:
+            if self_filter not in other.filters:
                 return False
 
         # Check all nuclides
@@ -199,9 +177,9 @@ class Tally(object):
 
         string += '{0: <16}{1}\n'.format('\tFilters', '=\t')
 
-        for filter in self.filters:
-            string += '{0: <16}\t\t{1}\t{2}\n'.format('', filter.type,
-                                                          filter.bins)
+        for self_filter in self.filters:
+            string += '{0: <16}\t\t{1}\t{2}\n'.format('', self_filter.type,
+                                                      self_filter.bins)
 
         string += '{0: <16}{1}'.format('\tNuclides', '=\t')
 
@@ -247,15 +225,15 @@ class Tally(object):
         return len(self._scores)
 
     @property
-    def num_score_bins(self):
-        return self._num_score_bins
+    def num_filters(self):
+        return len(self.filters)
 
     @property
     def num_filter_bins(self):
         num_bins = 1
 
-        for filter in self.filters:
-            num_bins *= filter.num_bins
+        for self_filter in self.filters:
+            num_bins *= self_filter.num_bins
 
         return num_bins
 
@@ -263,9 +241,13 @@ class Tally(object):
     def num_bins(self):
         num_bins = self.num_filter_bins
         num_bins *= self.num_nuclides
-        num_bins *= self.num_score_bins
+        num_bins *= self.num_scores
         return num_bins
 
+    @property
+    def shape(self):
+        return (self.num_filter_bins, self.num_nuclides, self.num_scores)
+
     @property
     def estimator(self):
         return self._estimator
@@ -284,11 +266,15 @@ class Tally(object):
 
     @property
     def sum(self):
-        if not self._sp_filename:
+        if not self._sp_filename or self.derived:
             return None
 
         if not self._results_read:
             import h5py
+            if h5py.__version__ == '2.6.0':
+                raise ImportError("h5py 2.6.0 has a known bug which makes it "
+                                  "incompatible with OpenMC's HDF5 files. "
+                                  "Please switch to a different version.")
 
             # Open the HDF5 statepoint file
             f = h5py.File(self._sp_filename, 'r')
@@ -299,29 +285,33 @@ class Tally(object):
             sum = data['sum']
             sum_sq = data['sum_sq']
 
-            # Define a routine to convert 0 to 1
-            def nonzero(val):
-                return 1 if not val else val
-
             # Reshape the results arrays
-            new_shape = (nonzero(self.num_filter_bins),
-                         nonzero(self.num_nuclides),
-                         nonzero(self.num_score_bins))
-
-            sum = np.reshape(sum, new_shape)
-            sum_sq = np.reshape(sum_sq, new_shape)
+            sum = np.reshape(sum, self.shape)
+            sum_sq = np.reshape(sum_sq, self.shape)
 
             # Set the data for this Tally
             self._sum = sum
             self._sum_sq = sum_sq
 
+            # Convert NumPy arrays to SciPy sparse LIL matrices
+            if self.sparse:
+                import scipy.sparse as sps
+
+                self._sum = \
+                    sps.lil_matrix(self._sum.flatten(), self._sum.shape)
+                self._sum_sq = \
+                    sps.lil_matrix(self._sum_sq.flatten(), self._sum_sq.shape)
+
             # Indicate that Tally results have been read
             self._results_read = True
 
             # Close the HDF5 statepoint file
             f.close()
 
-        return self._sum
+        if self.sparse:
+            return np.reshape(self._sum.toarray(), self.shape)
+        else:
+            return self._sum
 
     @property
     def sum_sq(self):
@@ -332,7 +322,10 @@ class Tally(object):
             # Force reading of sum and sum_sq
             self.sum
 
-        return self._sum_sq
+        if self.sparse:
+            return np.reshape(self._sum_sq.toarray(), self.shape)
+        else:
+            return self._sum_sq
 
     @property
     def mean(self):
@@ -341,7 +334,18 @@ class Tally(object):
                 return None
 
             self._mean = self.sum / self.num_realizations
-        return self._mean
+
+            # Convert NumPy array to SciPy sparse LIL matrix
+            if self.sparse:
+                import scipy.sparse as sps
+
+                self._mean = \
+                    sps.lil_matrix(self._mean.flatten(), self._mean.shape)
+
+        if self.sparse:
+            return np.reshape(self._mean.toarray(), self.shape)
+        else:
+            return self._mean
 
     @property
     def std_dev(self):
@@ -354,8 +358,20 @@ class Tally(object):
             self._std_dev = np.zeros_like(self.mean)
             self._std_dev[nonzero] = np.sqrt((self.sum_sq[nonzero]/n -
                                               self.mean[nonzero]**2)/(n - 1))
+
+            # Convert NumPy array to SciPy sparse LIL matrix
+            if self.sparse:
+                import scipy.sparse as sps
+
+                self._std_dev = \
+                    sps.lil_matrix(self._std_dev.flatten(), self._std_dev.shape)
+
             self.with_batch_statistics = True
-        return self._std_dev
+
+        if self.sparse:
+            return np.reshape(self._std_dev.toarray(), self.shape)
+        else:
+            return self._std_dev
 
     @property
     def with_batch_statistics(self):
@@ -365,29 +381,40 @@ class Tally(object):
     def derived(self):
         return self._derived
 
+    @property
+    def sparse(self):
+        return self._sparse
+
     @estimator.setter
     def estimator(self, estimator):
         cv.check_value('estimator', estimator,
-                    ['analog', 'tracklength', 'collision'])
+                       ['analog', 'tracklength', 'collision'])
         self._estimator = estimator
 
+    @triggers.setter
+    def triggers(self, triggers):
+        cv.check_type('tally triggers', triggers, MutableSequence)
+        self._triggers = cv.CheckedList(Trigger, 'tally triggers', triggers)
+
     def add_trigger(self, trigger):
         """Add a tally trigger to the tally
 
+        .. deprecated:: 0.8
+            Use the Tally.triggers property directly, i.e.,
+            Tally.triggers.append(...)
+
         Parameters
         ----------
-        trigger : openmc.trigger.Trigger
+        trigger : openmc.Trigger
             Trigger to add
 
         """
 
-        if not isinstance(trigger, Trigger):
-            msg = 'Unable to add a tally trigger for Tally ID="{0}" to ' \
-                  'since "{1}" is not a Trigger'.format(self.id, trigger)
-            raise ValueError(msg)
-
-        if trigger not in self.triggers:
-            self.triggers.append(trigger)
+        warnings.warn('Tally.add_trigger(...) has been deprecated and may be '
+                      'removed in a future version. Tally triggers should be '
+                      'defined using the triggers property directly.',
+                      DeprecationWarning)
+        self.triggers.append(trigger)
 
     @id.setter
     def id(self, tally_id):
@@ -408,63 +435,126 @@ class Tally(object):
         else:
             self._name = ''
 
-    def add_filter(self, filter):
+    @filters.setter
+    def filters(self, filters):
+        cv.check_type('tally filters', filters, MutableSequence)
+
+        # If the filter is already in the Tally, raise an error
+        for i, f in enumerate(filters[:-1]):
+            if f in filters[i+1:]:
+                msg = 'Unable to add a duplicate filter "{0}" to Tally ID="{1}" ' \
+                      'since duplicate filters are not supported in the OpenMC ' \
+                      'Python API'.format(f, self.id)
+                raise ValueError(msg)
+
+        self._filters = cv.CheckedList(_FILTER_CLASSES, 'tally filters', filters)
+
+    @nuclides.setter
+    def nuclides(self, nuclides):
+        cv.check_type('tally nuclides', nuclides, MutableSequence)
+
+        # If the nuclide is already in the Tally, raise an error
+        for i, nuclide in enumerate(nuclides[:-1]):
+            if nuclide in nuclides[i+1:]:
+                msg = 'Unable to add a duplicate nuclide "{0}" to Tally ID="{1}" ' \
+                      'since duplicate nuclides are not supported in the OpenMC ' \
+                      'Python API'.format(nuclide, self.id)
+                raise ValueError(msg)
+
+        self._nuclides = cv.CheckedList(_NUCLIDE_CLASSES, 'tally nuclides',
+                                        nuclides)
+
+    @scores.setter
+    def scores(self, scores):
+        cv.check_type('tally scores', scores, MutableSequence)
+
+        for i, score in enumerate(scores[:-1]):
+            # If the score is already in the Tally, raise an error
+            if score in scores[i+1:]:
+                msg = 'Unable to add a duplicate score "{0}" to Tally ID="{1}" ' \
+                      'since duplicate scores are not supported in the OpenMC ' \
+                      'Python API'.format(score, self.id)
+                raise ValueError(msg)
+
+            # If score is a string, strip whitespace
+            if isinstance(score, basestring):
+                scores[i] = score.strip()
+
+        self._scores = cv.CheckedList(_SCORE_CLASSES, 'tally scores', scores)
+
+    def add_filter(self, new_filter):
         """Add a filter to the tally
 
+        .. deprecated:: 0.8
+            Use the Tally.filters property directly, i.e.,
+            Tally.filters.append(...)
+
         Parameters
         ----------
-        filter : openmc.filter.Filter
-            Filter to add
+        new_filter : Filter, CrossFilter or AggregateFilter
+            A filter to specify a discretization of the tally across some
+            dimension (e.g., 'energy', 'cell'). The filter should be a Filter
+            object when a user is adding filters to a Tally for input file
+            generation or when the Tally is created from a StatePoint. The
+            filter may be a CrossFilter or AggregateFilter for derived tallies
+            created by tally arithmetic.
 
         """
 
-        if not isinstance(filter, (Filter, CrossFilter)):
-            msg = 'Unable to add Filter "{0}" to Tally ID="{1}" since it is ' \
-                  'not a Filter object'.format(filter, self.id)
-            raise ValueError(msg)
-
-        self._filters.append(filter)
+        warnings.warn('Tally.add_filter(...) has been deprecated and may be '
+                      'removed in a future version. Tally filters should be '
+                      'defined using the filters property directly.',
+                      DeprecationWarning)
+        self.filters.append(new_filter)
 
     def add_nuclide(self, nuclide):
         """Specify that scores for a particular nuclide should be accumulated
 
+        .. deprecated:: 0.8
+            Use the Tally.nuclides property directly, i.e.,
+            Tally.nuclides.append(...)
+
         Parameters
         ----------
-        nuclide : openmc.nuclide.Nuclide
-            Nuclide to add
+        nuclide : str, Nuclide, CrossNuclide or AggregateNuclide
+            Nuclide to add to the tally. The nuclide should be a Nuclide object
+            when a user is adding nuclides to a Tally for input file generation.
+            The nuclide is a str when a Tally is created from a StatePoint file
+            (e.g., 'H-1', 'U-235') unless a Summary has been linked with the
+            StatePoint. The nuclide may be a CrossNuclide or AggregateNuclide
+            for derived tallies created by tally arithmetic.
 
         """
 
-        self._nuclides.append(nuclide)
+        warnings.warn('Tally.add_nuclide(...) has been deprecated and may be '
+                      'removed in a future version. Tally nuclides should be '
+                      'defined using the nuclides property directly.',
+                      DeprecationWarning)
+        self.nuclides.append(nuclide)
 
     def add_score(self, score):
         """Specify a quantity to be scored
 
+        .. deprecated:: 0.8
+            Use the Tally.scores property directly, i.e.,
+            Tally.scores.append(...)
+
         Parameters
         ----------
-        score : str
-            Score to be accumulated, e.g. 'flux'
+        score : str, CrossScore or AggregateScore
+            A score to be accumulated (e.g., 'flux', 'nu-fission'). The score
+            should be a str when a user is adding scores to a Tally for input
+            file generation or when the Tally is created from a StatePoint. The
+            score may be a CrossScore or AggregateScore for derived tallies
+            created by tally arithmetic.
 
         """
 
-        if not isinstance(score, (basestring, CrossScore)):
-            msg = 'Unable to add score "{0}" to Tally ID="{1}" since it is ' \
-                  'not a string'.format(score, self.id)
-            raise ValueError(msg)
-
-        # If the score is already in the Tally, don't add it again
-        if score in self.scores:
-            return
-        # Normal score strings
-        if isinstance(score, basestring):
-            self._scores.append(score.strip())
-        # CrossScores
-        else:
-            self._scores.append(score)
-
-    @num_score_bins.setter
-    def num_score_bins(self, num_score_bins):
-        self._num_score_bins = num_score_bins
+        warnings.warn('Tally.add_score(...) has been deprecated and may be '
+                      'removed in a future version. Tally scores should be '
+                      'defined using the scores property directly.',
+                      DeprecationWarning)
+        self.scores.append(score)
 
     @num_realizations.setter
     def num_realizations(self, num_realizations):
@@ -492,6 +582,51 @@ class Tally(object):
         cv.check_type('sum_sq', sum_sq, Iterable)
         self._sum_sq = sum_sq
 
+    @sparse.setter
+    def sparse(self, sparse):
+        """Convert tally data from NumPy arrays to SciPy list of lists (LIL)
+        sparse matrices, and vice versa.
+
+        This property may be used to reduce the amount of data in memory during
+        tally data processing. The tally data will be stored as SciPy LIL
+        matrices internally within the Tally object. All tally data access
+        properties and methods will return data as a dense NumPy array.
+
+        """
+
+        cv.check_type('sparse', sparse, bool)
+
+        # Convert NumPy arrays to SciPy sparse LIL matrices
+        if sparse and not self.sparse:
+            import scipy.sparse as sps
+
+            if self._sum is not None:
+                self._sum = \
+                    sps.lil_matrix(self._sum.flatten(), self._sum.shape)
+            if self._sum_sq is not None:
+                self._sum_sq = \
+                    sps.lil_matrix(self._sum_sq.flatten(), self._sum_sq.shape)
+            if self._mean is not None:
+                self._mean = \
+                    sps.lil_matrix(self._mean.flatten(), self._mean.shape)
+            if self._std_dev is not None:
+                self._std_dev = \
+                    sps.lil_matrix(self._std_dev.flatten(), self._std_dev.shape)
+
+            self._sparse = True
+
+        # Convert SciPy sparse LIL matrices to NumPy arrays
+        elif not sparse and self.sparse:
+            if self._sum is not None:
+                self._sum = np.reshape(self._sum.toarray(), self.shape)
+            if self._sum_sq is not None:
+                self._sum_sq = np.reshape(self._sum_sq.toarray(), self.shape)
+            if self._mean is not None:
+                self._mean = np.reshape(self._mean.toarray(), self.shape)
+            if self._std_dev is not None:
+                self._std_dev = np.reshape(self._std_dev.toarray(), self.shape)
+            self._sparse = False
+
     def remove_score(self, score):
         """Remove a score from the tally
 
@@ -509,29 +644,29 @@ class Tally(object):
 
         self._scores.remove(score)
 
-    def remove_filter(self, filter):
+    def remove_filter(self, old_filter):
         """Remove a filter from the tally
 
         Parameters
         ----------
-        filter : openmc.filter.Filter
+        old_filter : openmc.Filter
             Filter to remove
 
         """
 
-        if filter not in self.filters:
+        if old_filter not in self.filters:
             msg = 'Unable to remove filter "{0}" from Tally ID="{1}" since the ' \
-                  'Tally does not contain this filter'.format(filter, self.id)
+                  'Tally does not contain this filter'.format(old_filter, self.id)
             ValueError(msg)
 
-        self._filters.remove(filter)
+        self._filters.remove(old_filter)
 
     def remove_nuclide(self, nuclide):
         """Remove a nuclide from the tally
 
         Parameters
         ----------
-        nuclide : openmc.nuclide.Nuclide
+        nuclide : openmc.Nuclide
             Nuclide to remove
 
         """
@@ -543,83 +678,197 @@ class Tally(object):
 
         self._nuclides.remove(nuclide)
 
-    def can_merge(self, tally):
-        """Determine if another tally can be merged with this one
+    def _can_merge_filters(self, other):
+        """Determine if another tally's filters can be merged with this one's
+
+        The types of filters between the two tallies must match identically.
+        The bins in all of the filters must match identically, or be mergeable
+        in only one filter. This is a helper method for the can_merge(...)
+        and merge(...) methods.
 
         Parameters
         ----------
-        tally : Tally
-            Tally to check for merging
+        other : openmc.Tally
+            Tally to check for mergeable filters
 
         """
 
-        if not isinstance(tally, Tally):
+        # Two tallys must have the same number of filters
+        if len(self.filters) != len(other.filters):
             return False
 
-        # Must have same estimator
-        if self.estimator != tally.estimator:
-            return False
-
-        # Must have same nuclides
-        if len(self.nuclides) != len(tally.nuclides):
-            return False
-
-        for nuclide in self.nuclides:
-            if nuclide not in tally.nuclides:
-                return False
-
-        # Must have same or mergeable filters
-        if len(self.filters) != len(tally.filters):
-            return False
-
-        # Check if only one tally contains a delayed group filter
-        tally1_dg = False
-        for filter1 in self.filters:
-            if filter1.type == 'delayedgroup':
-                tally1_dg = True
-
-        tally2_dg = False
-        for filter2 in tally.filters:
-            if filter2.type == 'delayedgroup':
-                tally2_dg = True
-
         # Return False if only one tally has a delayed group filter
-        if (tally1_dg or tally2_dg) and not (tally1_dg and tally2_dg):
+        tally1_dg = self.contains_filter('delayedgroup')
+        tally2_dg = other.contains_filter('delayedgroup')
+        if sum([tally1_dg, tally2_dg]) == 1:
             return False
 
         # Look to see if all filters are the same, or one or more can be merged
         for filter1 in self.filters:
+            merge_filters = False
             mergeable_filter = False
 
-            for filter2 in tally.filters:
-                if filter1 == filter2 or filter1.can_merge(filter2):
+            for filter2 in other.filters:
+
+                # If filters match, they are mergeable
+                if filter1 == filter2:
                     mergeable_filter = True
                     break
 
+                # If filters are first mergeable filters encountered
+                elif filter1.can_merge(filter2) and not merge_filters:
+                    merge_filters = True
+                    mergeable_filter = True
+                    break
+
+                # If filters are the second mergeable filters encountered
+                elif filter1.can_merge(filter2) and merge_filters:
+                    return False
+
             # If no mergeable filter was found, the tallies are not mergeable
             if not mergeable_filter:
                 return False
 
-        # Tallies are mergeable if all conditional checks passed
+        # Tally filters are mergeable if all conditional checks passed
         return True
 
-    def merge(self, tally):
-        """Merge another tally with this one
+    def _can_merge_nuclides(self, other):
+        """Determine if another tally's nuclides can be merged with this one's
+
+        The nuclides between the two tallies must be mutually exclusive or
+        identically matching. This is a helper method for the can_merge(...)
+        and merge(...) methods.
 
         Parameters
         ----------
-        tally : Tally
+        other : openmc.Tally
+            Tally to check for mergeable nuclides
+
+        """
+
+        no_nuclides_match = True
+        all_nuclides_match = True
+
+        # Search for each of this tally's nuclides in the other tally
+        for nuclide in self.nuclides:
+            if nuclide not in other.nuclides:
+                all_nuclides_match = False
+            else:
+                no_nuclides_match = False
+
+        # Search for each of the other tally's nuclides in this tally
+        for nuclide in other.nuclides:
+            if nuclide not in self.nuclides:
+                all_nuclides_match = False
+            else:
+                no_nuclides_match = False
+
+        # Either all nuclides should match, or none should
+        return no_nuclides_match or all_nuclides_match
+
+    def _can_merge_scores(self, other):
+        """Determine if another tally's scores can be merged with this one's
+
+        The scores between the two tallies must be mutually exclusive or
+        identically matching. This is a helper method for the can_merge(...)
+        and merge(...) methods.
+
+        Parameters
+        ----------
+        other : openmc.Tally
+            Tally to check for mergeable scores
+
+        """
+
+        no_scores_match = True
+        all_scores_match = True
+
+        # Search for each of this tally's scores in the other tally
+        for score in self.scores:
+            if score in other.scores:
+                no_scores_match = False
+
+        # Search for each of the other tally's scores in this tally
+        for score in other.scores:
+            if score not in self.scores:
+                all_scores_match = False
+            else:
+                no_scores_match = False
+
+        # Nuclides cannot be specified on 'flux' scores
+        if 'flux' in self.scores or 'flux' in other.scores:
+            if self.nuclides != other.nuclides:
+                return False
+
+        # Either all scores should match, or none should
+        return no_scores_match or all_scores_match
+
+    def can_merge(self, other):
+        """Determine if another tally can be merged with this one
+
+        If results have been loaded from a statepoint, then tallies are only
+        mergeable along one and only one of filter bins, nuclides or scores.
+
+        Parameters
+        ----------
+        other : openmc.Tally
+            Tally to check for merging
+
+        """
+
+        if not isinstance(other, Tally):
+            return False
+
+        # Must have same estimator
+        if self.estimator != other.estimator:
+            return False
+
+        equal_filters = sorted(self.filters) == sorted(other.filters)
+        equal_nuclides = sorted(self.nuclides) == sorted(other.nuclides)
+        equal_scores = sorted(self.scores) == sorted(other.scores)
+        equality = [equal_filters, equal_nuclides, equal_scores]
+
+        # If all filters, nuclides and scores match then tallies are mergeable
+        if equal_filters and equal_nuclides and equal_scores:
+            return True
+
+        # Variables to indicate matching filter bins, nuclides and scores
+        merge_filters = self._can_merge_filters(other)
+        merge_nuclides = self._can_merge_nuclides(other)
+        merge_scores = self._can_merge_scores(other)
+        mergeability = [merge_filters, merge_nuclides, merge_scores]
+
+        if not all(mergeability):
+            return False
+
+        # If the tally results have been read from the statepoint, we can only
+        # at least two of filters, nuclides and scores must match
+        elif self._results_read and sum(equality) < 2:
+            return False
+        else:
+            return True
+
+    def merge(self, other):
+        """Merge another tally with this one
+
+        If results have been loaded from a statepoint, then tallies are only
+        mergeable along one and only one of filter bins, nuclides or scores.
+
+        Parameters
+        ----------
+        other : openmc.Tally
             Tally to merge with this one
 
         Returns
         -------
-        merged_tally : Tally
+        merged_tally : openmc.Tally
             Merged tallies
 
         """
 
-        if not self.can_merge(tally):
-            msg = 'Unable to merge tally ID="{0}" with "{1}"'.format(tally.id, self.id)
+        if not self.can_merge(other):
+            msg = 'Unable to merge tally ID="{0}" with ' \
+                   '"{1}"'.format(other.id, self.id)
             raise ValueError(msg)
 
         # Create deep copy of tally to return as merged tally
@@ -628,21 +877,126 @@ class Tally(object):
         # Differentiate Tally with a new auto-generated Tally ID
         merged_tally.id = None
 
-        # Merge filters
-        for i, filter1 in enumerate(merged_tally.filters):
-            for filter2 in tally.filters:
-                if filter1 != filter2 and filter1.can_merge(filter2):
-                    merged_filter = filter1.merge(filter2)
-                    merged_tally.filters[i] = merged_filter
-                    break
+        # If the two tallies are equal, simply return copy
+        if self == other:
+            return merged_tally
 
-        # Add scores from second tally to merged tally
-        for score in tally.scores:
-            merged_tally.add_score(score)
+        # Create deep copy of other tally to use for array concatenation
+        other_copy = copy.deepcopy(other)
 
-        # Add triggers from second tally to merged tally
-        for trigger in tally.triggers:
-            merged_tally.add_trigger(trigger)
+        # Identify if filters, nuclides and scores are mergeable and/or equal
+        merge_filters = self._can_merge_filters(other)
+        merge_nuclides = self._can_merge_nuclides(other)
+        merge_scores = self._can_merge_scores(other)
+        equal_filters = sorted(self.filters) == sorted(other.filters)
+        equal_nuclides = sorted(self.nuclides) == sorted(other.nuclides)
+        equal_scores = sorted(self.scores) == sorted(other.scores)
+
+        # If two tallies can be merged along a filter's bins
+        if merge_filters and not equal_filters:
+
+            # Search for mergeable filters
+            for i, filter1 in enumerate(self.filters):
+                for filter2 in other.filters:
+                    if filter1 != filter2 and filter1.can_merge(filter2):
+                        other_copy._swap_filters(other_copy.filters[i], filter2)
+                        merged_tally.filters[i] = filter1.merge(filter2)
+                        join_right = filter1 < filter2
+                        merge_axis = i
+                        break
+
+        # If two tallies can be merged along nuclide bins
+        if merge_nuclides and not equal_nuclides:
+            merge_axis = self.num_filters
+            join_right = True
+
+            # Add unique nuclides from other tally to merged tally
+            for nuclide in other.nuclides:
+                if nuclide not in merged_tally.nuclides:
+                    merged_tally.nuclides.append(nuclide)
+
+        # If two tallies can be merged along score bins
+        if merge_scores and not equal_scores:
+            merge_axis = self.num_filters + 1
+            join_right = True
+
+            # Add unique scores from other tally to merged tally
+            for score in other.scores:
+                if score not in merged_tally.scores:
+                    merged_tally.scores.append(score)
+
+        # Add triggers from other tally to merged tally
+        for trigger in other.triggers:
+            merged_tally.triggers.append(trigger)
+
+        # If results have not been read, then return tally for input generation
+        if self._results_read is None:
+            return merged_tally
+        # Otherwise, this is a derived tally which needs merged results arrays
+        else:
+            self._derived = True
+
+        # Update filter strides in merged tally
+        merged_tally._update_filter_strides()
+
+        # Concatenate sum arrays if present in both tallies
+        if self.sum is not None and other_copy.sum is not None:
+            self_sum = self.get_reshaped_data(value='sum')
+            other_sum = other_copy.get_reshaped_data(value='sum')
+
+            if join_right:
+                merged_sum = \
+                    np.concatenate((self_sum, other_sum), axis=merge_axis)
+            else:
+                merged_sum = \
+                    np.concatenate((other_sum, self_sum), axis=merge_axis)
+
+            merged_tally._sum = np.reshape(merged_sum, merged_tally.shape)
+
+        # Concatenate sum_sq arrays if present in both tallies
+        if self.sum_sq is not None and other.sum_sq is not None:
+            self_sum_sq = self.get_reshaped_data(value='sum_sq')
+            other_sum_sq = other_copy.get_reshaped_data(value='sum_sq')
+
+            if join_right:
+                merged_sum_sq = \
+                    np.concatenate((self_sum_sq, other_sum_sq), axis=merge_axis)
+            else:
+                merged_sum_sq = \
+                    np.concatenate((other_sum_sq, self_sum_sq), axis=merge_axis)
+
+            merged_tally._sum_sq = np.reshape(merged_sum_sq, merged_tally.shape)
+
+        # Concatenate mean arrays if present in both tallies
+        if self.mean is not None and other.mean is not None:
+            self_mean = self.get_reshaped_data(value='mean')
+            other_mean = other_copy.get_reshaped_data(value='mean')
+
+            if join_right:
+                merged_mean = \
+                    np.concatenate((self_mean, other_mean), axis=merge_axis)
+            else:
+                merged_mean = \
+                    np.concatenate((other_mean, self_mean), axis=merge_axis)
+
+            merged_tally._mean = np.reshape(merged_mean, merged_tally.shape)
+
+        # Concatenate std. dev. arrays if present in both tallies
+        if self.std_dev is not None and other.std_dev is not None:
+            self_std_dev = self.get_reshaped_data(value='std_dev')
+            other_std_dev = other_copy.get_reshaped_data(value='std_dev')
+
+            if join_right:
+                merged_std_dev = \
+                    np.concatenate((self_std_dev, other_std_dev), axis=merge_axis)
+            else:
+                merged_std_dev = \
+                    np.concatenate((other_std_dev, self_std_dev), axis=merge_axis)
+
+            merged_tally._std_dev = np.reshape(merged_std_dev, merged_tally.shape)
+
+        # Sparsify merged tally if both tallies are sparse
+        merged_tally.sparse = self.sparse and other.sparse
 
         return merged_tally
 
@@ -666,13 +1020,13 @@ class Tally(object):
             element.set("name", self.name)
 
         # Optional Tally filters
-        for filter in self.filters:
+        for self_filter in self.filters:
             subelement = ET.SubElement(element, "filter")
-            subelement.set("type", str(filter.type))
+            subelement.set("type", str(self_filter.type))
 
-            if filter.bins is not None:
+            if self_filter.bins is not None:
                 bins = ''
-                for bin in filter.bins:
+                for bin in self_filter.bins:
                     bins += '{0} '.format(bin)
 
                 subelement.set("bins", bins.rstrip(' '))
@@ -700,7 +1054,7 @@ class Tally(object):
             for score in self.scores:
                 scores += '{0} '.format(score)
 
-            subelement = ET.SubElement(element,    "scores")
+            subelement = ET.SubElement(element, "scores")
             subelement.text = scores.rstrip(' ')
 
         # Tally estimator type
@@ -714,6 +1068,32 @@ class Tally(object):
 
         return element
 
+    def contains_filter(self, filter_type):
+        """Looks for a filter in the tally that matches a specified type
+
+        Parameters
+        ----------
+        filter_type : str
+            Type of the filter, e.g. 'mesh'
+
+        Returns
+        -------
+        filter_found : bool
+            True if the tally contains a filter of the requested type;
+            otherwise false
+
+        """
+
+        filter_found = False
+
+        # Look through all of this Tally's Filters for the type requested
+        for test_filter in self.filters:
+            if test_filter.type == filter_type:
+                filter_found = True
+                break
+
+        return filter_found
+
     def find_filter(self, filter_type):
         """Return a filter in the tally that matches a specified type
 
@@ -724,7 +1104,7 @@ class Tally(object):
 
         Returns
         -------
-        filter : openmc.filter.Filter
+        filter_found : openmc.Filter
             Filter from this tally with matching type, or None if no matching
             Filter is found
 
@@ -735,21 +1115,21 @@ class Tally(object):
 
         """
 
-        filter = None
+        filter_found = None
 
         # Look through all of this Tally's Filters for the type requested
         for test_filter in self.filters:
             if test_filter.type == filter_type:
-                filter = test_filter
+                filter_found = test_filter
                 break
 
         # If we did not find the Filter, throw an Exception
-        if filter is None:
+        if filter_found is None:
             msg = 'Unable to find filter type "{0}" in ' \
                   'Tally ID="{1}"'.format(filter_type, self.id)
             raise ValueError(msg)
 
-        return filter
+        return filter_found
 
     def get_filter_index(self, filter_type, filter_bin):
         """Returns the index in the Tally's results array for a Filter bin
@@ -758,7 +1138,7 @@ class Tally(object):
         ----------
         filter_type : str
             The type of Filter (e.g., 'cell', 'energy', etc.)
-        filter_bin : Integral or tuple
+        filter_bin : int or tuple
             The bin is an integer ID for 'material', 'surface', 'cell',
             'cellborn', and 'universe' Filters. The bin is an integer for the
             cell instance ID for 'distribcell' Filters. The bin is a 2-tuple of
@@ -774,10 +1154,10 @@ class Tally(object):
         """
 
         # Find the equivalent Filter in this Tally's list of Filters
-        filter = self.find_filter(filter_type)
+        filter_found = self.find_filter(filter_type)
 
         # Get the index for the requested bin from the Filter and return it
-        filter_index = filter.get_bin_index(filter_bin)
+        filter_index = filter_found.get_bin_index(filter_bin)
         return filter_index
 
     def get_nuclide_index(self, nuclide):
@@ -808,7 +1188,7 @@ class Tally(object):
 
             # If the Summary was linked, then values are Nuclide objects
             if isinstance(test_nuclide, Nuclide):
-                if test_nuclide._name == nuclide:
+                if test_nuclide.name == nuclide:
                     nuclide_index = i
                     break
 
@@ -870,20 +1250,21 @@ class Tally(object):
             A list of filter type strings
             (e.g., ['mesh', 'energy']; default is [])
         filter_bins : list of Iterables
-            A list of the filter bins corresponding to the filter_types
-            parameter (e.g., [(1,), (0., 0.625e-6)]; default is []). Each bin
-            in the list is the integer ID for 'material', 'surface', 'cell',
-            'cellborn', and 'universe' Filters. Each bin is an integer for the
-            cell instance ID for 'distribcell' Filters. Each bin is a 2-tuple of
-            floats for 'energy' and 'energyout' filters corresponding to the
-            energy boundaries of the bin of interest.  The bin is a (x,y,z)
-            3-tuple for 'mesh' filters corresponding to the mesh cell of
-            interest. The order of the bins in the list must correspond to the
-            filter_types parameter.
+            A list of tuples of filter bins corresponding to the filter_types
+            parameter (e.g., [(1,), ((0., 0.625e-6),)]; default is []). Each
+            tuple contains bins for the corresponding filter type in the filters
+            parameter. Each bins is the integer ID for 'material', 'surface',
+            'cell', 'cellborn', and 'universe' Filters. Each bin is an integer
+            for the cell instance ID for 'distribcell' Filters. Each bin is a
+            2-tuple of floats for 'energy' and 'energyout' filters corresponding
+            to the energy boundaries of the bin of interest. The bin is an
+            (x,y,z) 3-tuple for 'mesh' filters corresponding to the mesh cell
+            of interest. The order of the bins in the list must correspond to
+            the filter_types parameter.
 
         Returns
         -------
-        ndarray
+        numpy.ndarray
             A NumPy array of the filter indices
 
         """
@@ -897,12 +1278,12 @@ class Tally(object):
             filter_indices = []
 
             # Loop over all of the Tally's Filters
-            for i, filter in enumerate(self.filters):
+            for i, self_filter in enumerate(self.filters):
                 user_filter = False
 
                 # If a user-requested Filter, get the user-requested bins
                 for j, test_filter in enumerate(filters):
-                    if filter.type == test_filter:
+                    if self_filter.type == test_filter:
                         bins = filter_bins[j]
                         user_filter = True
                         break
@@ -910,36 +1291,36 @@ class Tally(object):
                 # If not a user-requested Filter, get all bins
                 if not user_filter:
                     # Create list of 2- or 3-tuples tuples for mesh cell bins
-                    if filter.type == 'mesh':
-                        dimension = filter.mesh.dimension
+                    if self_filter.type == 'mesh':
+                        dimension = self_filter.mesh.dimension
                         xyz = map(lambda x: np.arange(1, x+1), dimension)
                         bins = list(itertools.product(*xyz))
 
                     # Create list of 2-tuples for energy boundary bins
-                    elif filter.type in ['energy', 'energyout']:
+                    elif self_filter.type in ['energy', 'energyout']:
                         bins = []
-                        for k in range(filter.num_bins):
-                            bins.append((filter.bins[k], filter.bins[k+1]))
+                        for k in range(self_filter.num_bins):
+                            bins.append((self_filter.bins[k], self_filter.bins[k+1]))
 
                     # Create list of cell instance IDs for distribcell Filters
-                    elif filter.type == 'distribcell':
-                        bins = np.arange(filter.num_bins)
+                    elif self_filter.type == 'distribcell':
+                        bins = np.arange(self_filter.num_bins)
 
                     # Create list of IDs for bins for all other filter types
                     else:
-                        bins = filter.bins
+                        bins = self_filter.bins
 
                 # Initialize a NumPy array for the Filter bin indices
                 filter_indices.append(np.zeros(len(bins), dtype=np.int))
 
                 # Add indices for each bin in this Filter to the list
                 for j, bin in enumerate(bins):
-                    filter_index = self.get_filter_index(filter.type, bin)
+                    filter_index = self.get_filter_index(self_filter.type, bin)
                     filter_indices[i][j] = filter_index
 
                 # Account for stride in each of the previous filters
                 for indices in filter_indices[:i]:
-                    indices *= filter.num_bins
+                    indices *= self_filter.num_bins
 
             # Apply outer product sum between all filter bin indices
             filter_indices = list(map(sum, itertools.product(*filter_indices)))
@@ -965,7 +1346,7 @@ class Tally(object):
 
         Returns
         -------
-        ndarray
+        numpy.ndarray
             A NumPy array of the nuclide indices
 
         """
@@ -999,12 +1380,17 @@ class Tally(object):
 
         Returns
         -------
-        ndarray
+        numpy.ndarray
             A NumPy array of the score indices
 
         """
 
-        cv.check_iterable_type('scores', scores, basestring)
+        for score in scores:
+            if not isinstance(score, (basestring, CrossScore)):
+                msg = 'Unable to get score indices for score "{0}" in Tally ' \
+                      'ID="{1}" since it is not a string or CrossScore'\
+                      .format(score, self.id)
+                raise ValueError(msg)
 
         # Determine the score indices from any of the requested scores
         if scores:
@@ -1036,16 +1422,17 @@ class Tally(object):
             A list of filter type strings
             (e.g., ['mesh', 'energy']; default is [])
         filter_bins : list of Iterables
-            A list of the filter bins corresponding to the filter_types
-            parameter (e.g., [(1,), (0., 0.625e-6)]; default is []). Each bin
-            in the list is the integer ID for 'material', 'surface', 'cell',
-            'cellborn', and 'universe' Filters. Each bin is an integer for the
-            cell instance ID for 'distribcell' Filters. Each bin is a 2-tuple of
-            floats for 'energy' and 'energyout' filters corresponding to the
-            energy boundaries of the bin of interest.  The bin is a (x,y,z)
-            3-tuple for 'mesh' filters corresponding to the mesh cell of
-            interest. The order of the bins in the list must correspond to the
-            filter_types parameter.
+            A list of tuples of filter bins corresponding to the filter_types
+            parameter (e.g., [(1,), ((0., 0.625e-6),)]; default is []). Each
+            tuple contains bins for the corresponding filter type in the filters
+            parameter. Each bins is the integer ID for 'material', 'surface',
+            'cell', 'cellborn', and 'universe' Filters. Each bin is an integer
+            for the cell instance ID for 'distribcell' Filters. Each bin is a
+            2-tuple of floats for 'energy' and 'energyout' filters corresponding
+            to the energy boundaries of the bin of interest. The bin is an
+            (x,y,z) 3-tuple for 'mesh' filters corresponding to the mesh cell
+            of interest. The order of the bins in the list must correspond to
+            the filter_types parameter.
         nuclides : list of str
             A list of nuclide name strings
             (e.g., ['U-235', 'U-238']; default is [])
@@ -1055,29 +1442,26 @@ class Tally(object):
 
         Returns
         -------
-        float or ndarray
+        float or numpy.ndarray
             A scalar or NumPy array of the Tally data indexed in the order
             each filter, nuclide and score is listed in the parameters.
 
         Raises
         ------
         ValueError
-            When this method is called before the Tally is populated with data
-            by the StatePoint.read_results() method. ValueError is also thrown
-            if the input parameters do not correspond to the Tally's attributes,
+            When this method is called before the Tally is populated with data,
+            or the input parameters do not correspond to the Tally's attributes,
             e.g., if the score(s) do not match those in the Tally.
 
         """
 
-        # Ensure that StatePoint.read_results() was called first
+        # Ensure that the tally has data
         if (value == 'mean' and self.mean is None) or \
            (value == 'std_dev' and self.std_dev is None) or \
            (value == 'rel_err' and self.mean is None) or \
            (value == 'sum' and self.sum is None) or \
            (value == 'sum_sq' and self.sum_sq is None):
-            msg = 'The Tally ID="{0}" has no data to return. Call the ' \
-                  'StatePoint.read_results() method before using ' \
-                  'Tally.get_values(...)'.format(self.id)
+            msg = 'The Tally ID="{0}" has no data to return'.format(self.id)
             raise ValueError(msg)
 
         # Get filter, nuclide and score indices
@@ -1107,8 +1491,8 @@ class Tally(object):
 
         return data
 
-    def get_pandas_dataframe(self, filters=True, nuclides=True,
-                             scores=True, summary=None):
+    def get_pandas_dataframe(self, filters=True, nuclides=True, scores=True,
+                             distribcell_paths=True, float_format='{:.2e}'):
         """Build a Pandas DataFrame for the Tally data.
 
         This method constructs a Pandas DataFrame object for the Tally data
@@ -1126,12 +1510,14 @@ class Tally(object):
             Include columns with nuclide bin information (default is True).
         scores : bool
             Include columns with score bin information (default is True).
-        summary : None or Summary
-            An optional Summary object to be used to construct columns for
-            distribcell tally filters (default is None). The geometric
-            information in the Summary object is embedded into a Multi-index
-            column with a geometric "path" to each distribcell intance.
-            NOTE: This option requires the OpenCG Python package.
+        distribcell_paths : bool, optional
+            Construct columns for distribcell tally filters (default is True).
+            The geometric information in the Summary object is embedded into a
+            Multi-index column with a geometric "path" to each distribcell
+            instance.
+        float_format : str
+            All floats in the DataFrame will be formatted using the given
+            format string before printing.
 
         Returns
         -------
@@ -1144,35 +1530,18 @@ class Tally(object):
         ------
         KeyError
             When this method is called before the Tally is populated with data
-            by the StatePoint.read_results() method.
         ImportError
             When Pandas can not be found on the caller's system
 
         """
 
-        # Ensure that StatePoint.read_results() was called first
+        # Ensure that the tally has data
         if self.mean is None or self.std_dev is None:
-            msg = 'The Tally ID="{0}" has no data to return. Call the ' \
-                  'StatePoint.read_results() method before using ' \
-                  'Tally.get_pandas_dataframe(...)'.format(self.id)
+            msg = 'The Tally ID="{0}" has no data to return'.format(self.id)
             raise KeyError(msg)
 
-        # If using Summary, ensure StatePoint.link_with_summary(...) was called
-        if summary and not self.with_summary:
-            msg = 'The Tally ID="{0}" has not been linked with the Summary. ' \
-                  'Call the StatePoint.link_with_summary(...) method ' \
-                  'before using Tally.get_pandas_dataframe(...) with ' \
-                  'Summary info'.format(self.id)
-            raise KeyError(msg)
-
-        # Attempt to import Pandas
-        try:
-            import pandas as pd
-        except ImportError:
-            msg = 'The Pandas Python package must be installed on your system'
-            raise ImportError(msg)
-
         # Initialize a pandas dataframe for the tally data
+        import pandas as pd
         df = pd.DataFrame()
 
         # Find the total length of the tally data array
@@ -1182,30 +1551,44 @@ class Tally(object):
         if filters:
 
             # Append each Filter's DataFrame to the overall DataFrame
-            for filter in self.filters:
-                filter_df = filter.get_pandas_dataframe(data_size, summary)
+            for self_filter in self.filters:
+                filter_df = self_filter.get_pandas_dataframe(
+                    data_size, distribcell_paths)
                 df = pd.concat([df, filter_df], axis=1)
 
         # Include DataFrame column for nuclides if user requested it
         if nuclides:
             nuclides = []
+            column_name = 'nuclide'
 
             for nuclide in self.nuclides:
-                # Write Nuclide name if Summary info was linked with StatePoint
                 if isinstance(nuclide, Nuclide):
                     nuclides.append(nuclide.name)
+                elif isinstance(nuclide, AggregateNuclide):
+                    nuclides.append(nuclide.name)
+                    column_name = '{0}(nuclide)'.format(nuclide.aggregate_op)
                 else:
                     nuclides.append(nuclide)
 
             # Tile the nuclide bins into a DataFrame column
             nuclides = np.repeat(nuclides, len(self.scores))
             tile_factor = data_size / len(nuclides)
-            df['nuclide'] = np.tile(nuclides, tile_factor)
+            df[column_name] = np.tile(nuclides, int(tile_factor))
 
         # Include column for scores if user requested it
         if scores:
+            scores = []
+            column_name = 'score'
+
+            for score in self.scores:
+                if isinstance(score, (basestring, CrossScore)):
+                    scores.append(str(score))
+                elif isinstance(score, AggregateScore):
+                    scores.append(score.name)
+                    column_name = '{0}(score)'.format(score.aggregate_op)
+
             tile_factor = data_size / len(self.scores)
-            df['score'] = np.tile(self.scores, tile_factor)
+            df[column_name] = np.tile(scores, int(tile_factor))
 
         # Append columns with mean, std. dev. for each tally bin
         df['mean'] = self.mean.ravel()
@@ -1234,6 +1617,10 @@ class Tally(object):
             # Create and set a MultiIndex for the DataFrame's columns
             df.columns = pd.MultiIndex.from_tuples(columns)
 
+        # Modify the df.to_string method so that it prints formatted strings.
+        # Credit to http://stackoverflow.com/users/3657742/chrisb for this trick
+        df.to_string = partial(df.to_string, float_format=float_format.format)
+
         return df
 
     def get_reshaped_data(self, value='mean'):
@@ -1241,8 +1628,8 @@ class Tally(object):
 
         The tally data in OpenMC is stored as a 3D array with the dimensions
         corresponding to filters, nuclides and scores. As a result, tally data
-        can be opaque for a user to directly index (i.e., without use of the
-        Tally.get_values(...) method) since one must know how to properly use
+        can be opaque for a user to directly index (i.e., without use of
+        :meth:`openmc.Tally.get_values`) since one must know how to properly use
         the number of bins and strides for each filter to index into the first
         (filter) dimension.
 
@@ -1262,7 +1649,7 @@ class Tally(object):
 
         Returns
         -------
-        ndarray
+        numpy.ndarray
             The tally data array indexed by filters, nuclides and scores.
 
         """
@@ -1272,17 +1659,17 @@ class Tally(object):
 
         # Build a new array shape with one dimension per filter
         new_shape = ()
-        for filter in self.filters:
-            new_shape += (filter.num_bins, )
+        for self_filter in self.filters:
+            new_shape += (self_filter.num_bins, )
         new_shape += (self.num_nuclides,)
-        new_shape += (self.num_score_bins,)
+        new_shape += (self.num_scores,)
 
         # Reshape the data with one dimension for each filter
         data = np.reshape(data, new_shape)
         return data
 
     def export_results(self, filename='tally-results', directory='.',
-                      format='hdf5', append=True):
+                       format='hdf5', append=True):
         """Exports tallly results to an HDF5 or Python pickle binary file.
 
         Parameters
@@ -1300,16 +1687,13 @@ class Tally(object):
         Raises
         ------
         KeyError
-            When this method is called before the Tally is populated with data
-            by the StatePoint.read_results() method.
+            When this method is called before the Tally is populated with data.
 
         """
 
-        # Ensure that StatePoint.read_results() was called first
+        # Ensure that the tally has data
         if self._sum is None or self._sum_sq is None and not self.derived:
-            msg = 'The Tally ID="{0}" has no data to export. Call the ' \
-                  'StatePoint.read_results() method before using ' \
-                  'Tally.export_results(...)'.format(self.id)
+            msg = 'The Tally ID="{0}" has no data to export'.format(self.id)
             raise KeyError(msg)
 
         if not isinstance(filename, basestring):
@@ -1331,7 +1715,7 @@ class Tally(object):
 
         elif not isinstance(append, bool):
             msg = 'Unable to export the results for Tally ID="{0}" since the ' \
-                  'append parameter is not True/False'.format(self.id, append)
+                  'append parameter is not True/False'.format(self.id)
             raise ValueError(msg)
 
         # Make directory if it does not exist
@@ -1369,8 +1753,9 @@ class Tally(object):
             # Create an HDF5 sub-group for the Filters
             filter_group = tally_group.create_group('filters')
 
-            for filter in self.filters:
-                filter_group.create_dataset(filter.type, data=filter.bins)
+            for self_filter in self.filters:
+                filter_group.create_dataset(self_filter.type,
+                                            filter=self_filter.bins)
 
             # Add all results to the main HDF5 group for the Tally
             tally_group.create_dataset('sum', data=self.sum)
@@ -1387,7 +1772,7 @@ class Tally(object):
             filename = directory + '/' + filename + '.pkl'
 
             if os.path.exists(filename) and append:
-                tally_results = pickle.load(file(filename, 'rb'))
+                tally_results = pickle.load(open(filename, 'rb'))
             else:
                 tally_results = {}
 
@@ -1413,8 +1798,8 @@ class Tally(object):
             tally_group['filters'] = {}
             filter_group = tally_group['filters']
 
-            for filter in self.filters:
-                filter_group[filter.type] = filter.bins
+            for self_filter in self.filters:
+                filter_group[self_filter.type] = self_filter.bins
 
             # Add all results to the main sub-dictionary for the Tally
             tally_group['sum'] = self.sum
@@ -1425,34 +1810,83 @@ class Tally(object):
             # Pickle the Tally results to a file
             pickle.dump(tally_results, open(filename, 'wb'))
 
-    def _outer_product(self, other, binary_op):
+    def hybrid_product(self, other, binary_op, filter_product=None,
+                       nuclide_product=None, score_product=None):
         """Combines filters, scores and nuclides with another tally.
 
-        This is a helper method for the tally arithmetic methods. The filters,
-        scores and nuclides from both tallies are enumerated into all possible
-        combinations and expressed as CrossFilter, CrossScore and
-        CrossNuclide objects in the new derived tally.
+        This is a helper method for the tally arithmetic operator overloaded
+        methods. It is called a "hybrid product" because it performs a
+        combination of tensor (or Kronecker) and entrywise (or Hadamard)
+        products. The filters from both tallies are combined using an entrywise
+        (or Hadamard) product on matching filters. By default, if all nuclides
+        are identical in the two tallies, the entrywise product is performed
+        across nuclides; else the tensor product is performed. By default, if
+        all scores are identical in the two tallies, the entrywise product is
+        performed across scores; else the tensor product is performed. Users
+        can also call the method explicitly and specify the desired product.
 
         Parameters
         ----------
-        other : Tally
-            The tally on the right hand side of the outer product
+        other : openmc.Tally
+            The tally on the right hand side of the hybrid product
         binary_op : {'+', '-', '*', '/', '^'}
-            The binary operation in the outer product
+            The binary operation in the hybrid product
+        filter_product : {'tensor', 'entrywise' or None}
+            The type of product (tensor or entrywise) to be performed between
+            filter data. The default is the entrywise product. Currently only
+            the entrywise product is supported since a tally cannot contain
+            two of the same filter.
+        nuclide_product : {'tensor', 'entrywise' or None}
+            The type of product (tensor or entrywise) to be performed between
+            nuclide data. The default is the entrywise product if all nuclides
+            between the two tallies are the same; otherwise the default is
+            the tensor product.
+        score_product : {'tensor', 'entrywise' or None}
+            The type of product (tensor or entrywise) to be performed between
+            score data. The default is the entrywise product if all scores
+            between the two tallies are the same; otherwise the default is
+            the tensor product.
 
         Returns
         -------
-        Tally
-            A new Tally that is the outer product with this one.
+        openmc.Tally
+            A new Tally that is the hybrid product with this one.
 
         Raises
         ------
         ValueError
             When this method is called before the other tally is populated
-            with data by the StatePoint.read_results() method.
+            with data.
 
         """
 
+        # Set default value for filter product if it was not set
+        if filter_product is None:
+            filter_product = 'entrywise'
+        elif filter_product == 'tensor':
+            msg = 'Unable to perform Tally arithmetic with a tensor product' \
+                  'for the filter data as this is not currently supported.'
+            raise ValueError(msg)
+
+        # Set default value for nuclide product if it was not set
+        if nuclide_product is None:
+            if self.nuclides == other.nuclides:
+                nuclide_product = 'entrywise'
+            else:
+                nuclide_product = 'tensor'
+
+        # Set default value for score product if it was not set
+        if score_product is None:
+            if self.scores == other.scores:
+                score_product = 'entrywise'
+            else:
+                score_product = 'tensor'
+
+        # Check product types
+        cv.check_value('filter product', filter_product, _PRODUCT_TYPES)
+        cv.check_value('nuclide product', nuclide_product, _PRODUCT_TYPES)
+        cv.check_value('score product', score_product, _PRODUCT_TYPES)
+
         # Check that results have been read
         if not other.derived and other.sum is None:
             msg = 'Unable to use tally arithmetic with Tally ID="{0}" ' \
@@ -1460,40 +1894,35 @@ class Tally(object):
             raise ValueError(msg)
 
         new_tally = Tally()
-        new_tally.with_batch_statistics = True
         new_tally._derived = True
+        new_tally.with_batch_statistics = True
+        new_tally._num_realizations = self.num_realizations
+        new_tally._estimator = self.estimator
+        new_tally._with_summary = self.with_summary
+        new_tally._sp_filename = self._sp_filename
 
         # Construct a combined derived name from the two tally operands
         if self.name != '' and other.name != '':
             new_name = '({0} {1} {2})'.format(self.name, binary_op, other.name)
             new_tally.name = new_name
 
+        # Query the mean and std dev so the tally data is read in from file
+        # if it has not already been read in.
+        self.mean, self.std_dev, other.mean, other.std_dev
+
         # Create copies of self and other tallies to rearrange for tally
         # arithmetic
         self_copy = copy.deepcopy(self)
         other_copy = copy.deepcopy(other)
 
-        # Find any shared filters between the two tallies
-        filter_intersect = []
-        for filter in self_copy.filters:
-            if filter in other_copy.filters:
-                filter_intersect.append(filter)
+        self_copy.sparse = False
+        other_copy.sparse = False
 
-        # Align the shared filters in successive order
-        for i, filter in enumerate(filter_intersect):
-            self_index = self_copy.filters.index(filter)
-            other_index = other_copy.filters.index(filter)
-
-            # If necessary, swap self filter
-            if self_index != i:
-                self_copy.swap_filters(filter, self_copy.filters[i], inplace=True)
-
-            # If necessary, swap other filter
-            if other_index != i:
-                other_copy.swap_filters(filter, other_copy.filters[i], inplace=True)
-
-        data = self_copy._align_tally_data(other_copy)
+        # Align the tally data based on desired hybrid product
+        data = self_copy._align_tally_data(other_copy, filter_product,
+                                           nuclide_product, score_product)
 
+        # Perform tally arithmetic operation
         if binary_op == '+':
             new_tally._mean = data['self']['mean'] + data['other']['mean']
             new_tally._std_dev = np.sqrt(data['self']['std. dev.']**2 +
@@ -1523,6 +1952,13 @@ class Tally(object):
             new_tally._std_dev = np.abs(new_tally.mean) * \
                                  np.sqrt(first_term**2 + second_term**2)
 
+        # Convert any infs and nans to zero
+        new_tally._mean[np.isinf(new_tally._mean)] = 0
+        new_tally._mean = np.nan_to_num(new_tally._mean)
+        new_tally._std_dev[np.isinf(new_tally._std_dev)] = 0
+        new_tally._std_dev = np.nan_to_num(new_tally._std_dev)
+
+        # Set tally attributes
         if self_copy.estimator == other_copy.estimator:
             new_tally.estimator = self_copy.estimator
         if self_copy.with_summary and other_copy.with_summary:
@@ -1530,77 +1966,59 @@ class Tally(object):
         if self_copy.num_realizations == other_copy.num_realizations:
             new_tally.num_realizations = self_copy.num_realizations
 
-        # If filters are identical, simply reuse them in derived tally
-        if self_copy.filters == other_copy.filters:
+        # Add filters to the new tally
+        if filter_product == 'entrywise':
             for self_filter in self_copy.filters:
-                new_tally.add_filter(self_filter)
-
-        # Generate filter "outer products" for non-identical filters
+                new_tally.filters.append(self_filter)
         else:
+            all_filters = [self_copy.filters, other_copy.filters]
+            for self_filter, other_filter in itertools.product(*all_filters):
+                new_filter = CrossFilter(self_filter, other_filter, binary_op)
+                new_tally.filters.append(new_filter)
 
-            # Find the common longest sequence of shared filters
-            match = 0
-            for self_filter, other_filter in zip(self_copy.filters, other_copy.filters):
-                if self_filter == other_filter:
-                    match += 1
-                else:
-                    break
-
-            match_filters = self_copy.filters[:match]
-            cross_filters = [self_copy.filters[match:], other_copy.filters[match:]]
-
-            # Simply reuse shared filters in derived tally
-            for filter in match_filters:
-                new_tally.add_filter(filter)
-
-            # Use cross filters to combine non-shared filters in derived tally
-            if len(self_copy.filters) != match and len(other_copy.filters) == match:
-                for filter in cross_filters[0]:
-                    new_tally.add_filter(filter)
-            elif len(self_copy.filters) == match and len(other_copy.filters) != match:
-                for filter in cross_filters[1]:
-                    new_tally.add_filter(filter)
-            else:
-                for self_filter, other_filter in itertools.product(*cross_filters):
-                    new_filter = CrossFilter(self_filter, other_filter, binary_op)
-                    new_tally.add_filter(new_filter)
-
-        # Generate score "outer products"
-        if self_copy.scores == other_copy.scores:
-            new_tally.num_score_bins = self_copy.num_score_bins
-            for self_score in self_copy.scores:
-                new_tally.add_score(self_score)
-        else:
-            new_tally.num_score_bins = self_copy.num_score_bins * other_copy.num_score_bins
-            all_scores = [self_copy.scores, other_copy.scores]
-            for self_score, other_score in itertools.product(*all_scores):
-                new_score = CrossScore(self_score, other_score, binary_op)
-                new_tally.add_score(new_score)
-
-        # Generate nuclide "outer products"
-        if self_copy.nuclides == other_copy.nuclides:
+        # Add nuclides to the new tally
+        if nuclide_product == 'entrywise':
             for self_nuclide in self_copy.nuclides:
                 new_tally.nuclides.append(self_nuclide)
         else:
             all_nuclides = [self_copy.nuclides, other_copy.nuclides]
             for self_nuclide, other_nuclide in itertools.product(*all_nuclides):
-                new_nuclide = CrossNuclide(self_nuclide, other_nuclide, binary_op)
-                new_tally.add_nuclide(new_nuclide)
+                new_nuclide = \
+                    CrossNuclide(self_nuclide, other_nuclide, binary_op)
+                new_tally.nuclides.append(new_nuclide)
 
-        # Correct each Filter's stride
-        stride = new_tally.num_nuclides * new_tally.num_score_bins
-        for filter in reversed(new_tally.filters):
-            filter.stride = stride
-            stride *= filter.num_bins
+        # Add scores to the new tally
+        if score_product == 'entrywise':
+            for self_score in self_copy.scores:
+                new_tally.scores.append(self_score)
+        else:
+            all_scores = [self_copy.scores, other_copy.scores]
+            for self_score, other_score in itertools.product(*all_scores):
+                new_score = CrossScore(self_score, other_score, binary_op)
+                new_tally.scores.append(new_score)
+
+        # Update the new tally's filter strides
+        new_tally._update_filter_strides()
 
         return new_tally
 
-    def _align_tally_data(self, other):
+    def _update_filter_strides(self):
+        """Update each filter's stride based on the tally's nuclides and scores
+        for derived tallies created by tally arithmetic.
+        """
+
+        stride = self.num_nuclides * self.num_scores
+        for self_filter in reversed(self.filters):
+            self_filter.stride = stride
+            stride *= self_filter.num_bins
+
+    def _align_tally_data(self, other, filter_product, nuclide_product,
+                          score_product):
         """Aligns data from two tallies for tally arithmetic.
 
         This is a helper method to construct a dict of dicts of the "aligned"
         data arrays from each tally for tally arithmetic. The method analyzes
-        the filters, scores and nuclides in both tally's and determines how to
+        the filters, scores and nuclides in both tallies and determines how to
         appropriately align the data for vectorized arithmetic. For example,
         if the two tallies have different filters, this method will use NumPy
         'tile' and 'repeat' operations to the new data arrays such that all
@@ -1609,8 +2027,17 @@ class Tally(object):
 
         Parameters
         ----------
-        other : Tally
+        other : openmc.Tally
             The tally to outer product with this tally
+        filter_product : {'entrywise'}
+            The type of product to be performed between filter data. Currently,
+            only the entrywise product is supported for the filter product.
+        nuclide_product : {'tensor', 'entrywise'}
+            The type of product (tensor or entrywise) to be performed between
+            nuclide data.
+        score_product : {'tensor', 'entrywise'}
+            The type of product (tensor or entrywise) to be performed between
+            score data.
 
         Returns
         -------
@@ -1620,113 +2047,139 @@ class Tally(object):
 
         """
 
-        self_mean = copy.deepcopy(self.mean)
-        self_std_dev = copy.deepcopy(self.std_dev)
-        other_mean = copy.deepcopy(other.mean)
-        other_std_dev = copy.deepcopy(other.std_dev)
+        # Get the set of filters that each tally is missing
+        other_missing_filters = \
+            set(self.filters).difference(set(other.filters))
+        self_missing_filters = \
+            set(other.filters).difference(set(self.filters))
 
-        if self.filters != other.filters:
+        # Add filters present in self but not in other to other
+        for other_filter in other_missing_filters:
+            filter_copy = copy.deepcopy(other_filter)
+            other._mean = np.repeat(other.mean, filter_copy.num_bins, axis=0)
+            other._std_dev = np.repeat(other.std_dev, filter_copy.num_bins, axis=0)
+            other.filters.append(filter_copy)
 
-            # Determine the number of paired combinations of filter bins
-            # between the two tallies and repeat arrays along filter axes
-            diff1 = list(set(self.filters).difference(set(other.filters)))
-            diff2 = list(set(other.filters).difference(set(self.filters)))
+        # Add filters present in other but not in self to self
+        for self_filter in self_missing_filters:
+            filter_copy = copy.deepcopy(self_filter)
+            self._mean = np.repeat(self.mean, filter_copy.num_bins, axis=0)
+            self._std_dev = np.repeat(self.std_dev, filter_copy.num_bins, axis=0)
+            self.filters.append(filter_copy)
 
-            # Determine the factors by which each tally operands' data arrays
-            # must be tiled or repeated for the tally outer product
-            other_tile_factor = 1
-            self_repeat_factor = 1
-            for filter in diff1:
-                other_tile_factor *= filter.num_bins
-            for filter in diff2:
-                self_repeat_factor *= filter.num_bins
+        # Align other filters with self filters
+        for i, self_filter in enumerate(self.filters):
+            other_index = other.filters.index(self_filter)
 
-            # Tile / repeat the tally data for the tally outer product
-            self_shape = list(self_mean.shape)
-            other_shape = list(other_mean.shape)
-            self_shape[0] *= self_repeat_factor
-            self_mean = np.repeat(self_mean, self_repeat_factor)
-            self_std_dev = np.repeat(self_std_dev, self_repeat_factor)
+            # If necessary, swap other filter
+            if other_index != i:
+                other._swap_filters(self_filter, other.filters[i])
 
-            if self_repeat_factor == 1:
-                other_shape[0] *= other_tile_factor
-                other_mean = np.repeat(other_mean, other_tile_factor, axis=0)
-                other_std_dev = np.repeat(other_std_dev, other_tile_factor,
-                                          axis=0)
-            else:
-                other_mean = np.tile(other_mean, (other_tile_factor, 1, 1))
-                other_std_dev = np.tile(other_std_dev, (other_tile_factor, 1, 1))
+        # Repeat and tile the data by nuclide in preparation for performing
+        # the tensor product across nuclides.
+        if nuclide_product == 'tensor':
+            self._mean = \
+                np.repeat(self.mean, other.num_nuclides, axis=1)
+            self._std_dev = \
+                np.repeat(self.std_dev, other.num_nuclides, axis=1)
+            other._mean = \
+                np.tile(other.mean, (1, self.num_nuclides, 1))
+            other._std_dev = \
+                np.tile(other.std_dev, (1, self.num_nuclides, 1))
 
-            # NumPy repeat and tile routines return 1D flattened arrays
-            # Reshape arrays as 3D with filters, nuclides and scores axes
-            self_mean.shape = tuple(self_shape)
-            self_std_dev.shape = tuple(self_shape)
-            other_mean.shape = tuple(other_shape)
-            other_std_dev.shape = tuple(other_shape)
+        # Add nuclides to each tally such that each tally contains the complete
+        # set of nuclides necessary to perform an entrywise product. New
+        # nuclides added to a tally will have all their scores set to zero.
+        else:
 
-        if self.nuclides != other.nuclides:
+            # Get the set of nuclides that each tally is missing
+            other_missing_nuclides = \
+                set(self.nuclides).difference(set(other.nuclides))
+            self_missing_nuclides = \
+                set(other.nuclides).difference(set(self.nuclides))
 
-            # Determine the number of paired combinations of nuclides
-            # between the two tallies and repeat arrays along nuclide axes
-            self_repeat_factor = other.num_nuclides
-            other_tile_factor = self.num_nuclides
+            # Add nuclides present in self but not in other to other
+            for nuclide in other_missing_nuclides:
+                other._mean = \
+                    np.insert(other.mean, other.num_nuclides, 0, axis=1)
+                other._std_dev = \
+                    np.insert(other.std_dev, other.num_nuclides, 0, axis=1)
+                other.nuclides.append(nuclide)
 
-            # Tile / repeat the tally data for the tally outer product
-            self_shape = list(self_mean.shape)
-            other_shape = list(other_mean.shape)
-            self_shape[1] *= self_repeat_factor
-            other_shape[1] *= other_tile_factor
-            self_mean = np.repeat(self_mean, self_repeat_factor, axis=1)
-            other_mean = np.tile(other_mean, (1, other_tile_factor, 1))
-            self_std_dev = np.repeat(self_std_dev, self_repeat_factor, axis=1)
-            other_std_dev = np.tile(other_std_dev, (1, other_tile_factor, 1))
+            # Add nuclides present in other but not in self to self
+            for nuclide in self_missing_nuclides:
+                self._mean = \
+                    np.insert(self.mean, self.num_nuclides, 0, axis=1)
+                self._std_dev = \
+                    np.insert(self.std_dev, self.num_nuclides, 0, axis=1)
+                self.nuclides.append(nuclide)
 
-            # NumPy repeat and tile routines return 1D flattened arrays
-            # Reshape arrays as 3D with filters, nuclides and scores axes
-            self_mean.shape = tuple(self_shape)
-            self_std_dev.shape = tuple(self_shape)
-            other_mean.shape = tuple(other_shape)
-            other_std_dev.shape = tuple(other_shape)
+            # Align other nuclides with self nuclides
+            for i, nuclide in enumerate(self.nuclides):
+                other_index = other.get_nuclide_index(nuclide)
 
-        if self.scores != other.scores:
+                # If necessary, swap other nuclide
+                if other_index != i:
+                    other._swap_nuclides(nuclide, other.nuclides[i])
 
-            # Determine the number of paired combinations of score bins
-            # between the two tallies and repeat arrays along score axes
-            self_repeat_factor = other.num_score_bins
-            other_tile_factor = self.num_score_bins
+        # Repeat and tile the data by score in preparation for performing
+        # the tensor product across scores.
+        if score_product == 'tensor':
+            self._mean = np.repeat(self.mean, other.num_scores, axis=2)
+            self._std_dev = np.repeat(self.std_dev, other.num_scores, axis=2)
+            other._mean = np.tile(other.mean, (1, 1, self.num_scores))
+            other._std_dev = np.tile(other.std_dev, (1, 1, self.num_scores))
 
-            # Tile / repeat the tally data for the tally outer product
-            self_shape = list(self_mean.shape)
-            other_shape = list(other_mean.shape)
-            self_shape[2] *= self_repeat_factor
-            other_shape[2] *= other_tile_factor
-            self_mean = np.repeat(self_mean, self_repeat_factor, axis=2)
-            other_mean = np.tile(other_mean, (1, 1, other_tile_factor))
-            self_std_dev = np.repeat(self_std_dev, self_repeat_factor, axis=2)
-            other_std_dev = np.tile(other_std_dev, (1, 1, other_tile_factor))
+        # Add scores to each tally such that each tally contains the complete set
+        # of scores necessary to perform an entrywise product. New scores added
+        # to a tally will be set to zero.
+        else:
 
-            # NumPy repeat and tile routines return 1D flattened arrays
-            # Reshape arrays as 3D with filters, nuclides and scores axes
-            self_mean.shape = tuple(self_shape)
-            self_std_dev.shape = tuple(self_shape)
-            other_mean.shape = tuple(other_shape)
-            other_std_dev.shape = tuple(other_shape)
+            # Get the set of scores that each tally is missing
+            other_missing_scores = \
+                set(self.scores).difference(set(other.scores))
+            self_missing_scores = \
+                set(other.scores).difference(set(self.scores))
+
+            # Add scores present in self but not in other to other
+            for score in other_missing_scores:
+                other._mean = np.insert(other.mean, other.num_scores, 0, axis=2)
+                other._std_dev = np.insert(other.std_dev, other.num_scores, 0, axis=2)
+                other.scores.append(score)
+
+            # Add scores present in other but not in self to self
+            for score in self_missing_scores:
+                self._mean = np.insert(self.mean, self.num_scores, 0, axis=2)
+                self._std_dev = np.insert(self.std_dev, self.num_scores, 0, axis=2)
+                self.scores.append(score)
+
+            # Align other scores with self scores
+            for i, score in enumerate(self.scores):
+                other_index = other.scores.index(score)
+
+                # If necessary, swap other score
+                if other_index != i:
+                    other._swap_scores(score, other.scores[i])
+
+        # Update the tallies' filter strides
+        other._update_filter_strides()
+        self._update_filter_strides()
 
         data = {}
         data['self'] = {}
         data['other'] = {}
-        data['self']['mean'] = self_mean
-        data['other']['mean'] = other_mean
-        data['self']['std. dev.'] = self_std_dev
-        data['other']['std. dev.'] = other_std_dev
+        data['self']['mean'] = self.mean
+        data['other']['mean'] = other.mean
+        data['self']['std. dev.'] = self.std_dev
+        data['other']['std. dev.'] = other.std_dev
         return data
 
-    def swap_filters(self, filter1, filter2, inplace=False):
+    def _swap_filters(self, filter1, filter2):
         """Reverse the ordering of two filters in this tally
 
         This is a helper method for tally arithmetic which helps align the data
-        in two tallies with shared filters. This method copies this tally and
-        reverses the order of the two filters.
+        in two tallies with shared filters. This method reverses the order of
+        the two filters in place.
 
         Parameters
         ----------
@@ -1736,36 +2189,20 @@ class Tally(object):
         filter2 : Filter
             The filter to swap with filter1
 
-        inplace : bool, optional
-            Whether to perform operation inplace or return new tally with the
-            filters swapped.
-
-        Returns
-        -------
-        swap_tally
-            If inplace is false, a copy of this tally with the filters swapped.
-            Otherwise, nothing is returned.
-
         Raises
         ------
         ValueError
             If this is a derived tally or this method is called before the tally
-            is populated with data by the StatePoint.read_results() method.
+            is populated with data.
 
         """
 
-        # Check that results have been read
-        if not self.derived and self.sum is None:
-            msg = 'Unable to use tally arithmetic with Tally ID="{0}" ' \
-                  'since it does not contain any results.'.format(self.id)
-            raise ValueError(msg)
-
-        cv.check_type('filter1', filter1, Filter)
-        cv.check_type('filter2', filter2, Filter)
+        cv.check_type('filter1', filter1, (Filter, CrossFilter, AggregateFilter))
+        cv.check_type('filter2', filter2, (Filter, CrossFilter, AggregateFilter))
 
+        # Check that the filters exist in the tally and are not the same
         if filter1 == filter2:
-            msg = 'Unable to swap a filter with itself'
-            raise ValueError(msg)
+            return
         elif filter1 not in self.filters:
             msg = 'Unable to swap "{0}" filter1 in Tally ID="{1}" since it ' \
                   'does not contain such a filter'.format(filter1.type, self.id)
@@ -1775,78 +2212,183 @@ class Tally(object):
                   'does not contain such a filter'.format(filter2.type, self.id)
             raise ValueError(msg)
 
-        # Create a copy of the tally that preserves the original data formatting
-        # throughout swapping process
-        tally_copy = copy.deepcopy(self)
-
-        # Set the swap tally
-        if inplace:
-            swap_tally = self
-        else:
-            swap_tally = copy.deepcopy(self)
-
         # Swap the filters in the copied version of this Tally
-        filter1_index = swap_tally.filters.index(filter1)
-        filter2_index = swap_tally.filters.index(filter2)
-        swap_tally.filters[filter1_index] = filter2
-        swap_tally.filters[filter2_index] = filter1
+        filter1_index = self.filters.index(filter1)
+        filter2_index = self.filters.index(filter2)
+        self.filters[filter1_index] = filter2
+        self.filters[filter2_index] = filter1
 
-        # Update the strides for each of the filters
-        stride = swap_tally.num_nuclides * swap_tally.num_score_bins
-        for filter in reversed(swap_tally.filters):
-            filter.stride = stride
-            stride *= filter.num_bins
+        # Update the tally's filter strides
+        self._update_filter_strides()
 
         # Construct lists of tuples for the bins in each of the two filters
         filters = [filter1.type, filter2.type]
         if filter1.type == 'distribcell':
-            filter1_bins = np.arange(filter.num_bins)
+            filter1_bins = np.arange(filter1.num_bins)
         else:
             filter1_bins = [(filter1.get_bin(i)) for i in range(filter1.num_bins)]
 
-        if filter1.type == 'distribcell':
+        if filter2.type == 'distribcell':
             filter2_bins = np.arange(filter2.num_bins)
         else:
             filter2_bins = [filter2.get_bin(i) for i in range(filter2.num_bins)]
 
-        # Adjust the sum data array to relect the new filter order
-        if swap_tally.sum is not None:
-            for bin1, bin2 in itertools.product(filter1_bins, filter2_bins):
-                filter_bins = [(bin1,), (bin2,)]
-                data = tally_copy.get_values(
-                    filters=filters, filter_bins=filter_bins, value='sum')
-                indices = swap_tally.get_filter_indices(filters, filter_bins)
-                swap_tally.sum[indices, :, :] = data
-
-        # Adjust the sum_sq data array to relect the new filter order
-        if swap_tally.sum_sq is not None:
-            for bin1, bin2 in itertools.product(filter1_bins, filter2_bins):
-                filter_bins = [(bin1,), (bin2,)]
-                data = tally_copy.get_values(
-                    filters=filters, filter_bins=filter_bins, value='sum_sq')
-                indices = swap_tally.get_filter_indices(filters, filter_bins)
-                swap_tally.sum_sq[indices, :, :] = data
-
         # Adjust the mean data array to relect the new filter order
-        if swap_tally.mean is not None:
+        if self.mean is not None:
             for bin1, bin2 in itertools.product(filter1_bins, filter2_bins):
                 filter_bins = [(bin1,), (bin2,)]
-                data = tally_copy.get_values(
+                data = self.get_values(
                     filters=filters, filter_bins=filter_bins, value='mean')
-                indices = swap_tally.get_filter_indices(filters, filter_bins)
-                swap_tally._mean[indices, :, :] = data
+                indices = self.get_filter_indices(filters, filter_bins)
+                self.mean[indices, :, :] = data
 
         # Adjust the std_dev data array to relect the new filter order
-        if swap_tally.std_dev is not None:
+        if self.std_dev is not None:
             for bin1, bin2 in itertools.product(filter1_bins, filter2_bins):
                 filter_bins = [(bin1,), (bin2,)]
-                data = tally_copy.get_values(
+                data = self.get_values(
                     filters=filters, filter_bins=filter_bins, value='std_dev')
-                indices = swap_tally.get_filter_indices(filters, filter_bins)
-                swap_tally._std_dev[indices, :, :] = data
+                indices = self.get_filter_indices(filters, filter_bins)
+                self.std_dev[indices, :, :] = data
 
-        if not inplace:
-            return swap_tally
+    def _swap_nuclides(self, nuclide1, nuclide2):
+        """Reverse the ordering of two nuclides in this tally
+
+        This is a helper method for tally arithmetic which helps align the data
+        in two tallies with shared nuclides. This method reverses the order of
+        the two nuclides in place.
+
+        Parameters
+        ----------
+        nuclide1 : Nuclide
+            The nuclide to swap with nuclide2
+
+        nuclide2 : Nuclide
+            The nuclide to swap with nuclide1
+
+        Raises
+        ------
+        ValueError
+            If this is a derived tally or this method is called before the tally
+            is populated with data.
+
+        """
+
+        # Check that results have been read
+        if not self.derived and self.sum is None:
+            msg = 'Unable to use tally arithmetic with Tally ID="{0}" ' \
+                  'since it does not contain any results.'.format(self.id)
+            raise ValueError(msg)
+
+        cv.check_type('nuclide1', nuclide1, Nuclide)
+        cv.check_type('nuclide2', nuclide2, Nuclide)
+
+        # Check that the nuclides exist in the tally and are not the same
+        if nuclide1 == nuclide2:
+            msg = 'Unable to swap a nuclide with itself'
+            raise ValueError(msg)
+        elif nuclide1 not in self.nuclides:
+            msg = 'Unable to swap nuclide1 "{0}" in Tally ID="{1}" since it ' \
+                  'does not contain such a nuclide'\
+                  .format(nuclide1.name, self.id)
+            raise ValueError(msg)
+        elif nuclide2 not in self.nuclides:
+            msg = 'Unable to swap "{0}" nuclide2 in Tally ID="{1}" since it ' \
+                  'does not contain such a nuclide'\
+                  .format(nuclide2.name, self.id)
+            raise ValueError(msg)
+
+        # Swap the nuclides in the Tally
+        nuclide1_index = self.get_nuclide_index(nuclide1)
+        nuclide2_index = self.get_nuclide_index(nuclide2)
+        self.nuclides[nuclide1_index] = nuclide2
+        self.nuclides[nuclide2_index] = nuclide1
+
+        # Adjust the mean data array to relect the new nuclide order
+        if self.mean is not None:
+            nuclide1_mean = self.mean[:, nuclide1_index, :].copy()
+            nuclide2_mean = self.mean[:, nuclide2_index, :].copy()
+            self.mean[:, nuclide2_index, :] = nuclide1_mean
+            self.mean[:, nuclide1_index, :] = nuclide2_mean
+
+        # Adjust the std_dev data array to relect the new nuclide order
+        if self.std_dev is not None:
+            nuclide1_std_dev = self.std_dev[:, nuclide1_index, :].copy()
+            nuclide2_std_dev = self.std_dev[:, nuclide2_index, :].copy()
+            self.std_dev[:, nuclide2_index, :] = nuclide1_std_dev
+            self.std_dev[:, nuclide1_index, :] = nuclide2_std_dev
+
+    def _swap_scores(self, score1, score2):
+        """Reverse the ordering of two scores in this tally
+
+        This is a helper method for tally arithmetic which helps align the data
+        in two tallies with shared scores. This method reverses the order
+        of the two scores in place.
+
+        Parameters
+        ----------
+        score1 : str or CrossScore
+            The score to swap with score2
+
+        score2 : str or CrossScore
+            The score to swap with score1
+
+        Raises
+        ------
+        ValueError
+            If this is a derived tally or this method is called before the tally
+            is populated with data.
+
+        """
+
+        # Check that results have been read
+        if not self.derived and self.sum is None:
+            msg = 'Unable to use tally arithmetic with Tally ID="{0}" ' \
+                  'since it does not contain any results.'.format(self.id)
+            raise ValueError(msg)
+
+        # Check that the scores are valid
+        if not isinstance(score1, (basestring, CrossScore)):
+            msg = 'Unable to swap score1 "{0}" in Tally ID="{1}" since it is ' \
+                  'not a string or CrossScore'.format(score1, self.id)
+            raise ValueError(msg)
+        elif not isinstance(score2, (basestring, CrossScore)):
+            msg = 'Unable to swap score2 "{0}" in Tally ID="{1}" since it is ' \
+                  'not a string or CrossScore'.format(score2, self.id)
+            raise ValueError(msg)
+
+        # Check that the scores exist in the tally and are not the same
+        if score1 == score2:
+            msg = 'Unable to swap a score with itself'
+            raise ValueError(msg)
+        elif score1 not in self.scores:
+            msg = 'Unable to swap score1 "{0}" in Tally ID="{1}" since it ' \
+                  'does not contain such a score'.format(score1, self.id)
+            raise ValueError(msg)
+        elif score2 not in self.scores:
+            msg = 'Unable to swap score2 "{0}" in Tally ID="{1}" since it ' \
+                  'does not contain such a score'.format(score2, self.id)
+            raise ValueError(msg)
+
+        # Swap the scores in the Tally
+        score1_index = self.get_score_index(score1)
+        score2_index = self.get_score_index(score2)
+        self.scores[score1_index] = score2
+        self.scores[score2_index] = score1
+
+        # Adjust the mean data array to relect the new nuclide order
+        if self.mean is not None:
+            score1_mean = self.mean[:, :, score1_index].copy()
+            score2_mean = self.mean[:, :, score2_index].copy()
+            self.mean[:, :, score2_index] = score1_mean
+            self.mean[:, :, score1_index] = score2_mean
+
+        # Adjust the std_dev data array to relect the new nuclide order
+        if self.std_dev is not None:
+            score1_std_dev = self.std_dev[:, :, score1_index].copy()
+            score2_std_dev = self.std_dev[:, :, score2_index].copy()
+            self.std_dev[:, :, score2_index] = score1_std_dev
+            self.std_dev[:, :, score1_index] = score2_std_dev
 
     def __add__(self, other):
         """Adds this tally to another tally or scalar value.
@@ -1867,20 +2409,19 @@ class Tally(object):
 
         Parameters
         ----------
-        other : Tally or Real
+        other : openmc.Tally or float
             The tally or scalar value to add to this tally
 
         Returns
         -------
-        Tally
+        openmc.Tally
             A new derived tally which is the sum of this tally and the other
             tally or scalar value in the addition.
 
         Raises
         ------
         ValueError
-            When this method is called before the Tally is populated with data
-            by the StatePoint.read_results() method.
+            When this method is called before the Tally is populated with data.
 
         """
 
@@ -1891,7 +2432,11 @@ class Tally(object):
             raise ValueError(msg)
 
         if isinstance(other, Tally):
-            new_tally = self._outer_product(other, binary_op='+')
+            new_tally = self.hybrid_product(other, binary_op='+')
+
+            # If both tally operands were sparse, sparsify the new tally
+            if self.sparse and other.sparse:
+                new_tally.sparse = True
 
         elif isinstance(other, Real):
             new_tally = Tally(name='derived')
@@ -1902,15 +2447,14 @@ class Tally(object):
             new_tally._std_dev = self.std_dev
             new_tally.estimator = self.estimator
             new_tally.with_summary = self.with_summary
-            new_tally.num_realization = self.num_realizations
-            new_tally.num_score_bins = self.num_score_bins
+            new_tally.num_realizations = self.num_realizations
 
-            for filter in self.filters:
-                new_tally.add_filter(filter)
-            for nuclide in self.nuclides:
-                new_tally.add_nuclide(nuclide)
-            for score in self.scores:
-                new_tally.add_score(score)
+            new_tally.filters = copy.deepcopy(self.filters)
+            new_tally.nuclides = copy.deepcopy(self.nuclides)
+            new_tally.scores = copy.deepcopy(self.scores)
+
+            # If this tally operand is sparse, sparsify the new tally
+            new_tally.sparse = self.sparse
 
         else:
             msg = 'Unable to add "{0}" to Tally ID="{1}"'.format(other, self.id)
@@ -1937,20 +2481,19 @@ class Tally(object):
 
         Parameters
         ----------
-        other : Tally or Real
+        other : openmc.Tally or float
             The tally or scalar value to subtract from this tally
 
         Returns
         -------
-        Tally
+        openmc.Tally
             A new derived tally which is the difference of this tally and the
             other tally or scalar value in the subtraction.
 
         Raises
         ------
         ValueError
-            When this method is called before the Tally is populated with data
-            by the StatePoint.read_results() method.
+            When this method is called before the Tally is populated with data.
 
         """
 
@@ -1961,7 +2504,11 @@ class Tally(object):
             raise ValueError(msg)
 
         if isinstance(other, Tally):
-            new_tally = self._outer_product(other, binary_op='-')
+            new_tally = self.hybrid_product(other, binary_op='-')
+
+            # If both tally operands were sparse, sparsify the new tally
+            if self.sparse and other.sparse:
+                new_tally.sparse = True
 
         elif isinstance(other, Real):
             new_tally = Tally(name='derived')
@@ -1971,15 +2518,14 @@ class Tally(object):
             new_tally._std_dev = self.std_dev
             new_tally.estimator = self.estimator
             new_tally.with_summary = self.with_summary
-            new_tally.num_realization = self.num_realizations
-            new_tally.num_score_bins = self.num_score_bins
+            new_tally.num_realizations = self.num_realizations
 
-            for filter in self.filters:
-                new_tally.add_filter(filter)
-            for nuclide in self.nuclides:
-                new_tally.add_nuclide(nuclide)
-            for score in self.scores:
-                new_tally.add_score(score)
+            new_tally.filters = copy.deepcopy(self.filters)
+            new_tally.nuclides = copy.deepcopy(self.nuclides)
+            new_tally.scores = copy.deepcopy(self.scores)
+
+            # If this tally operand is sparse, sparsify the new tally
+            new_tally.sparse = self.sparse
 
         else:
             msg = 'Unable to subtract "{0}" from Tally ' \
@@ -2007,20 +2553,19 @@ class Tally(object):
 
         Parameters
         ----------
-        other : Tally or Real
+        other : openmc.Tally or float
             The tally or scalar value to multiply with this tally
 
         Returns
         -------
-        Tally
+        openmc.Tally
             A new derived tally which is the product of this tally and the
             other tally or scalar value in the multiplication.
 
         Raises
         ------
         ValueError
-            When this method is called before the Tally is populated with data
-            by the StatePoint.read_results() method.
+            When this method is called before the Tally is populated with data.
 
         """
 
@@ -2031,7 +2576,11 @@ class Tally(object):
             raise ValueError(msg)
 
         if isinstance(other, Tally):
-            new_tally = self._outer_product(other, binary_op='*')
+            new_tally = self.hybrid_product(other, binary_op='*')
+
+            # If original tally operands were sparse, sparsify the new tally
+            if self.sparse and other.sparse:
+                new_tally.sparse = True
 
         elif isinstance(other, Real):
             new_tally = Tally(name='derived')
@@ -2041,15 +2590,14 @@ class Tally(object):
             new_tally._std_dev = self.std_dev * np.abs(other)
             new_tally.estimator = self.estimator
             new_tally.with_summary = self.with_summary
-            new_tally.num_realization = self.num_realizations
-            new_tally.num_score_bins = self.num_score_bins
+            new_tally.num_realizations = self.num_realizations
 
-            for filter in self.filters:
-                new_tally.add_filter(filter)
-            for nuclide in self.nuclides:
-                new_tally.add_nuclide(nuclide)
-            for score in self.scores:
-                new_tally.add_score(score)
+            new_tally.filters = copy.deepcopy(self.filters)
+            new_tally.nuclides = copy.deepcopy(self.nuclides)
+            new_tally.scores = copy.deepcopy(self.scores)
+
+            # If this tally operand is sparse, sparsify the new tally
+            new_tally.sparse = self.sparse
 
         else:
             msg = 'Unable to multiply Tally ID="{0}" ' \
@@ -2077,20 +2625,19 @@ class Tally(object):
 
         Parameters
         ----------
-        other : Tally or Real
+        other : openmc.Tally or float
             The tally or scalar value to divide this tally by
 
         Returns
         -------
-        Tally
+        openmc.Tally
             A new derived tally which is the dividend of this tally and the
             other tally or scalar value in the division.
 
         Raises
         ------
         ValueError
-            When this method is called before the Tally is populated with data
-            by the StatePoint.read_results() method.
+            When this method is called before the Tally is populated with data.
 
         """
 
@@ -2101,7 +2648,11 @@ class Tally(object):
             raise ValueError(msg)
 
         if isinstance(other, Tally):
-            new_tally = self._outer_product(other, binary_op='/')
+            new_tally = self.hybrid_product(other, binary_op='/')
+
+            # If original tally operands were sparse, sparsify the new tally
+            if self.sparse and other.sparse:
+                new_tally.sparse = True
 
         elif isinstance(other, Real):
             new_tally = Tally(name='derived')
@@ -2111,15 +2662,14 @@ class Tally(object):
             new_tally._std_dev = self.std_dev * np.abs(1. / other)
             new_tally.estimator = self.estimator
             new_tally.with_summary = self.with_summary
-            new_tally.num_realization = self.num_realizations
-            new_tally.num_score_bins = self.num_score_bins
+            new_tally.num_realizations = self.num_realizations
 
-            for filter in self.filters:
-                new_tally.add_filter(filter)
-            for nuclide in self.nuclides:
-                new_tally.add_nuclide(nuclide)
-            for score in self.scores:
-                new_tally.add_score(score)
+            new_tally.filters = copy.deepcopy(self.filters)
+            new_tally.nuclides = copy.deepcopy(self.nuclides)
+            new_tally.scores = copy.deepcopy(self.scores)
+
+            # If this tally operand is sparse, sparsify the new tally
+            new_tally.sparse = self.sparse
 
         else:
             msg = 'Unable to divide Tally ID="{0}" ' \
@@ -2150,20 +2700,19 @@ class Tally(object):
 
         Parameters
         ----------
-        power : Tally or Real
+        power : openmc.Tally or float
             The tally or scalar value exponent
 
         Returns
         -------
-        Tally
+        openmc.Tally
             A new derived tally which is this tally raised to the power of the
             other tally or scalar value in the exponentiation.
 
         Raises
         ------
         ValueError
-            When this method is called before the Tally is populated with data
-            by the StatePoint.read_results() method.
+            When this method is called before the Tally is populated with data.
 
         """
 
@@ -2174,7 +2723,11 @@ class Tally(object):
             raise ValueError(msg)
 
         if isinstance(power, Tally):
-            new_tally = self._outer_product(power, binary_op='^')
+            new_tally = self.hybrid_product(power, binary_op='^')
+
+            # If original tally operand was sparse, sparsify the new tally
+            if self.sparse:
+                new_tally.sparse = True
 
         elif isinstance(power, Real):
             new_tally = Tally(name='derived')
@@ -2185,15 +2738,14 @@ class Tally(object):
             new_tally._std_dev = np.abs(new_tally._mean * power * self_rel_err)
             new_tally.estimator = self.estimator
             new_tally.with_summary = self.with_summary
-            new_tally.num_realization = self.num_realizations
-            new_tally.num_score_bins = self.num_score_bins
+            new_tally.num_realizations = self.num_realizations
 
-            for filter in self.filters:
-                new_tally.add_filter(filter)
-            for nuclide in self.nuclides:
-                new_tally.add_nuclide(nuclide)
-            for score in self.scores:
-                new_tally.add_score(score)
+            new_tally.filters = copy.deepcopy(self.filters)
+            new_tally.nuclides = copy.deepcopy(self.nuclides)
+            new_tally.scores = copy.deepcopy(self.scores)
+
+            # If original tally was sparse, sparsify the exponentiated tally
+            new_tally.sparse = self.sparse
 
         else:
             msg = 'Unable to raise Tally ID="{0}" to ' \
@@ -2209,12 +2761,12 @@ class Tally(object):
 
         Parameters
         ----------
-        other : Integer or Real
+        other : float
             The scalar value to add to this tally
 
         Returns
         -------
-        Tally
+        openmc.Tally
             A new derived tally of this tally added with the scalar value.
 
         """
@@ -2228,12 +2780,12 @@ class Tally(object):
 
         Parameters
         ----------
-        other : Integer or Real
+        other : float
             The scalar value to subtract this tally from
 
         Returns
         -------
-        Tally
+        openmc.Tally
             A new derived tally of this tally subtracted from the scalar value.
 
         """
@@ -2247,12 +2799,12 @@ class Tally(object):
 
         Parameters
         ----------
-        other : Integer or Real
+        other : float
             The scalar value to multiply with this tally
 
         Returns
         -------
-        Tally
+        openmc.Tally
             A new derived tally of this tally multiplied by the scalar value.
 
         """
@@ -2266,24 +2818,24 @@ class Tally(object):
 
         Parameters
         ----------
-        other : Integer or Real
+        other : float
             The scalar value to divide by this tally
 
         Returns
         -------
-        Tally
+        openmc.Tally
             A new derived tally of the scalar value divided by this tally.
 
         """
 
         return other * self**-1
 
-    def __pos__(self):
+    def __abs__(self):
         """The absolute value of this tally.
 
         Returns
         -------
-        Tally
+        openmc.Tally
             A new derived tally which is the absolute value of this tally.
 
         """
@@ -2297,7 +2849,7 @@ class Tally(object):
 
         Returns
         -------
-        Tally
+        openmc.Tally
             A new derived tally which is the negated value of this tally.
 
         """
@@ -2322,47 +2874,54 @@ class Tally(object):
             A list of filter type strings
             (e.g., ['mesh', 'energy']; default is [])
         filter_bins : list of Iterables
-            A list of the filter bins corresponding to the filter_types
-            parameter (e.g., [(1,), (0., 0.625e-6)]; default is []). Each bin
-            in the list is the integer ID for 'material', 'surface', 'cell',
-            'cellborn', and 'universe' Filters. Each bin is an integer for the
-            cell instance ID for 'distribcell Filters. Each bin is a 2-tuple of
-            floats for 'energy' and 'energyout' filters corresponding to the
-            energy boundaries of the bin of interest.  The bin is a (x,y,z)
-            3-tuple for 'mesh' filters corresponding to the mesh cell of
-            interest. The order of the bins in the list must correspond to the
-            filter_types parameter.
+            A list of tuples of filter bins corresponding to the filter_types
+            parameter (e.g., [(1,), ((0., 0.625e-6),)]; default is []). Each
+            tuple contains bins to slice for the corresponding filter type in
+            the filters parameter. Each bins is the integer ID for 'material',
+            'surface', 'cell', 'cellborn', and 'universe' Filters. Each bin is
+            an integer for the cell instance ID for 'distribcell' Filters. Each
+            bin is a 2-tuple of floats for 'energy' and 'energyout' filters
+            corresponding to the energy boundaries of the bin of interest. The
+            bin is an (x,y,z) 3-tuple for 'mesh' filters corresponding to the
+            mesh cell of interest. The order of the bins in the list must
+            correspond to the filter_types parameter.
         nuclides : list of str
             A list of nuclide name strings
             (e.g., ['U-235', 'U-238']; default is [])
 
         Returns
         -------
-        Tally
+        openmc.Tally
             A new tally which encapsulates the subset of data requested in the
             order each filter, nuclide and score is listed in the parameters.
 
         Raises
         ------
         ValueError
-            When this method is called before the Tally is populated with data
-            by the StatePoint.read_results() method.
+            When this method is called before the Tally is populated with data.
 
         """
 
-        # Ensure that StatePoint.read_results() was called first
+        # Ensure that the tally has data
         if not self.derived and self.sum is None:
             msg = 'Unable to use tally arithmetic with Tally ID="{0}" ' \
                   'since it does not contain any results.'.format(self.id)
             raise ValueError(msg)
 
+        # Create deep copy of tally to return as sliced tally
         new_tally = copy.deepcopy(self)
+        new_tally._derived = True
 
-        if self.sum is not None:
+        # Differentiate Tally with a new auto-generated Tally ID
+        new_tally.id = None
+
+        new_tally.sparse = False
+
+        if not self.derived and self.sum is not None:
             new_sum = self.get_values(scores, filters, filter_bins,
                                       nuclides, 'sum')
             new_tally.sum = new_sum
-        if self.sum_sq is not None:
+        if not self.derived and self.sum_sq is not None:
             new_sum_sq = self.get_values(scores, filters, filter_bins,
                                          nuclides, 'sum_sq')
             new_tally.sum_sq = new_sum_sq
@@ -2372,7 +2931,7 @@ class Tally(object):
             new_tally._mean = new_mean
         if self.std_dev is not None:
             new_std_dev = self.get_values(scores, filters, filter_bins,
-                                       nuclides, 'std_dev')
+                                          nuclides, 'std_dev')
             new_tally._std_dev = new_std_dev
 
         # SCORES
@@ -2388,7 +2947,6 @@ class Tally(object):
             # Loop over indices in reverse to remove excluded scores
             for score_index in reversed(score_indices):
                 new_tally.remove_score(self.scores[score_index])
-                new_tally.num_score_bins -= 1
 
         # NUCLIDES
         if nuclides:
@@ -2409,36 +2967,39 @@ class Tally(object):
 
             # Determine the filter indices from any of the requested filters
             for i, filter_type in enumerate(filters):
-                filter = new_tally.find_filter(filter_type)
+                find_filter = new_tally.find_filter(filter_type)
 
                 # Remove and/or reorder filter bins to user specifications
                 bin_indices = []
+                num_bins = 0
 
                 for filter_bin in filter_bins[i]:
-                    bin_index = filter.get_bin_index(filter_bin)
+                    bin_index = find_filter.get_bin_index(filter_bin)
                     if filter_type in ['energy', 'energyout']:
+                        bin_indices.extend([bin_index])
                         bin_indices.extend([bin_index, bin_index+1])
-                    elif filter_type == 'distribcell':
-                        indices = [(bin,) for bin in range(filter.num_bins)]
-                        bin_indices.extend(indices)
+                        num_bins += 1
+                    elif filter_type in ['distribcell', 'mesh']:
+                        bin_indices = [0]
+                        num_bins = find_filter.num_bins
                     else:
                         bin_indices.append(bin_index)
+                        num_bins += 1
 
-                filter.bins = filter.bins[bin_indices]
-                filter.num_bins = len(filter_bins[i])
+                find_filter.bins = np.unique(find_filter.bins[bin_indices])
+                find_filter.num_bins = num_bins
 
-        # Correct each Filter's stride
-        stride = new_tally.num_nuclides * new_tally.num_score_bins
-        for filter in reversed(new_tally.filters):
-            filter.stride = stride
-            stride *= filter.num_bins
+        # Update the new tally's filter strides
+        new_tally._update_filter_strides()
 
+        # If original tally was sparse, sparsify the sliced tally
+        new_tally.sparse = self.sparse
         return new_tally
 
     def summation(self, scores=[], filter_type=None,
                   filter_bins=[], nuclides=[], remove_filter=False):
         """Vectorized sum of tally data across scores, filter bins and/or
-        nuclides using tally addition.
+        nuclides using tally aggregation.
 
         This method constructs a new tally to encapsulate the sum of the data
         represented by the summation of the data in this tally. The tally data
@@ -2453,11 +3014,11 @@ class Tally(object):
         filter_type : str
             A filter type string (e.g., 'cell', 'energy') corresponding to the
             filter bins to sum across
-        filter_bins : Iterable of Integral or tuple
+        filter_bins : Iterable of int or tuple
             A list of the filter bins corresponding to the filter_type parameter
             Each bin in the list is the integer ID for 'material', 'surface',
             'cell', 'cellborn', and 'universe' Filters. Each bin is an integer
-            for the cell instance ID for 'distribcell Filters. Each bin is a
+            for the cell instance ID for 'distribcell' Filters. Each bin is a
             2-tuple of floats for 'energy' and 'energyout' filters corresponding
             to the energy boundaries of the bin of interest. Each bin is an
             (x,y,z) 3-tuple for 'mesh' filters corresponding to the mesh cell of
@@ -2471,72 +3032,269 @@ class Tally(object):
 
         Returns
         -------
-        Tally
+        openmc.Tally
             A new tally which encapsulates the sum of data requested.
         """
 
-        # If user did not specify any scores, do not sum across scores
-        if len(scores) == 0:
-            scores = [[]]
-        # Sum across any scores specified by the user
-        else:
-            scores = [[score] for score in scores]
+        # Create new derived Tally for summation
+        tally_sum = Tally()
+        tally_sum._derived = True
+        tally_sum._estimator = self.estimator
+        tally_sum._num_realizations = self.num_realizations
+        tally_sum._with_batch_statistics = self.with_batch_statistics
+        tally_sum._with_summary = self.with_summary
+        tally_sum._sp_filename = self._sp_filename
+        tally_sum._results_read = self._results_read
 
-        # If user did not specify any nuclides, do not sum across nuclides
-        if len(nuclides) == 0:
-            nuclides = [[]]
-        # Sum across any nuclides specified by the user
-        else:
-            nuclides = [[nuclide] for nuclide in nuclides]
+        # Get tally data arrays reshaped with one dimension per filter
+        mean = self.get_reshaped_data(value='mean')
+        std_dev = self.get_reshaped_data(value='std_dev')
 
         # Sum across any filter bins specified by the user
         if filter_type in _FILTER_TYPES:
+            find_filter = self.find_filter(filter_type)
 
             # If user did not specify filter bins, sum across all bins
             if len(filter_bins) == 0:
-                filter = self.find_filter(filter_type)
-                filter_bins = [[(filter.get_bin(i),)] for i in range(filter.num_bins)]
+                bin_indices = np.arange(find_filter.num_bins)
+
+                if filter_type == 'distribcell':
+                    filter_bins = np.arange(find_filter.num_bins)
+                else:
+                    num_bins = find_filter.num_bins
+                    filter_bins = \
+                        [(find_filter.get_bin(i)) for i in range(num_bins)]
+
+            # Only sum across bins specified by the user
             else:
-                filter_bins = [[(filter_bin,)] for filter_bin in filter_bins]
+                bin_indices = \
+                    [find_filter.get_bin_index(bin) for bin in filter_bins]
 
-            filters = [[filter_type]]
-        # If user did not specify a filter type, do not sum across filter bins
+            # Sum across the bins in the user-specified filter
+            for i, self_filter in enumerate(self.filters):
+                if self_filter.type == filter_type:
+                    mean = np.take(mean, indices=bin_indices, axis=i)
+                    std_dev = np.take(std_dev, indices=bin_indices, axis=i)
+                    mean = np.sum(mean, axis=i, keepdims=True)
+                    std_dev = np.sum(std_dev**2, axis=i, keepdims=True)
+                    std_dev = np.sqrt(std_dev)
+
+                    # Add AggregateFilter to the tally sum
+                    if not remove_filter:
+                        filter_sum = \
+                            AggregateFilter(self_filter, [tuple(filter_bins)], 'sum')
+                        tally_sum.filters.append(filter_sum)
+
+                # Add a copy of each filter not summed across to the tally sum
+                else:
+                    tally_sum.filters.append(copy.deepcopy(self_filter))
+
+        # Add a copy of this tally's filters to the tally sum
         else:
-            filter_bins = [[]]
-            filters = [[]]
+            tally_sum._filters = copy.deepcopy(self.filters)
 
-        # Initialize Tally sum
-        tally_sum = 0
+        # Sum across any nuclides specified by the user
+        if len(nuclides) != 0:
+            nuclide_bins = [self.get_nuclide_index(nuclide) for nuclide in nuclides]
+            axis_index = self.num_filters
+            mean = np.take(mean, indices=nuclide_bins, axis=axis_index)
+            std_dev = np.take(std_dev, indices=nuclide_bins, axis=axis_index)
+            mean = np.sum(mean, axis=axis_index, keepdims=True)
+            std_dev = np.sum(std_dev**2, axis=axis_index, keepdims=True)
+            std_dev = np.sqrt(std_dev)
 
-        # Iterate over all Tally slice operands in summation
-        prod = [scores, filters, filter_bins, nuclides]
-        summed_filters = defaultdict(list)
-        for scores, filters, filter_bins, nuclides in itertools.product(*prod):
-            tally_slice = self.get_slice(scores, filters, filter_bins, nuclides)
+            # Add AggregateNuclide to the tally sum
+            nuclide_sum = AggregateNuclide(nuclides, 'sum')
+            tally_sum.nuclides.append(nuclide_sum)
 
-            # Remove filters summed across to avoid bulky CrossFilters
-            if filter_type:
-                filter = tally_slice.find_filter(filter_type)
-                tally_slice.remove_filter(filter)
-                summed_filters[filter_type].append(filter)
-
-            # Accumulate this Tally slice into the Tally sum
-            tally_sum += tally_slice
-
-        # Add back the filter(s) which were summed across to derived tally,
-        # if filter bins were input; otherwise, leave out summed filter(s)
-        if remove_filter and filter_type is not None:
-            # Rename tally sum indicating a summation over a particular filter
-            tally_sum.name = 'sum({0}, {1})'.format(self.name, filter_type)
+        # Add a copy of this tally's nuclides to the tally sum
         else:
-            for summed_filter_type in summed_filters:
-                filters = summed_filters[summed_filter_type]
-                for i in range(1, len(filters)):
-                    filters[i] = CrossFilter(filters[i-1], filters[i], '+')
-                tally_sum.add_filter(filters[-1])
+            tally_sum._nuclides = copy.deepcopy(self.nuclides)
 
+        # Sum across any scores specified by the user
+        if len(scores) != 0:
+            score_bins = [self.get_score_index(score) for score in scores]
+            axis_index = self.num_filters + 1
+            mean = np.take(mean, indices=score_bins, axis=axis_index)
+            std_dev = np.take(std_dev, indices=score_bins, axis=axis_index)
+            mean = np.sum(mean, axis=axis_index, keepdims=True)
+            std_dev = np.sum(std_dev**2, axis=axis_index, keepdims=True)
+            std_dev = np.sqrt(std_dev)
+
+            # Add AggregateScore to the tally sum
+            score_sum = AggregateScore(scores, 'sum')
+            tally_sum.scores.append(score_sum)
+
+        # Add a copy of this tally's scores to the tally sum
+        else:
+            tally_sum._scores = copy.deepcopy(self.scores)
+
+        # Update the tally sum's filter strides
+        tally_sum._update_filter_strides()
+
+        # Reshape condensed data arrays with one dimension for all filters
+        mean = np.reshape(mean, tally_sum.shape)
+        std_dev = np.reshape(std_dev, tally_sum.shape)
+
+        # Assign tally sum's data with the new arrays
+        tally_sum._mean = mean
+        tally_sum._std_dev = std_dev
+
+        # If original tally was sparse, sparsify the tally summation
+        tally_sum.sparse = self.sparse
         return tally_sum
 
+    def average(self, scores=[], filter_type=None,
+                filter_bins=[], nuclides=[], remove_filter=False):
+        """Vectorized average of tally data across scores, filter bins and/or
+        nuclides using tally aggregation.
+
+        This method constructs a new tally to encapsulate the average of the
+        data represented by the average of the data in this tally. The tally
+        data average is determined by the scores, filter bins and nuclides
+        specified in the input parameters.
+
+        Parameters
+        ----------
+        scores : list of str
+            A list of one or more score strings to average across
+            (e.g., ['absorption', 'nu-fission']; default is [])
+        filter_type : str
+            A filter type string (e.g., 'cell', 'energy') corresponding to the
+            filter bins to average across
+        filter_bins : Iterable of int or tuple
+            A list of the filter bins corresponding to the filter_type parameter
+            Each bin in the list is the integer ID for 'material', 'surface',
+            'cell', 'cellborn', and 'universe' Filters. Each bin is an integer
+            for the cell instance ID for 'distribcell' Filters. Each bin is a
+            2-tuple of floats for 'energy' and 'energyout' filters corresponding
+            to the energy boundaries of the bin of interest. Each bin is an
+            (x,y,z) 3-tuple for 'mesh' filters corresponding to the mesh cell of
+            interest.
+        nuclides : list of str
+            A list of nuclide name strings to average across
+            (e.g., ['U-235', 'U-238']; default is [])
+        remove_filter : bool
+            If a filter is being averaged over, this bool indicates whether to
+            remove that filter in the returned tally. Default is False.
+
+        Returns
+        -------
+        openmc.Tally
+            A new tally which encapsulates the average of data requested.
+        """
+
+        # Create new derived Tally for average
+        tally_avg = Tally()
+        tally_avg._derived = True
+        tally_avg._estimator = self.estimator
+        tally_avg._num_realizations = self.num_realizations
+        tally_avg._with_batch_statistics = self.with_batch_statistics
+        tally_avg._with_summary = self.with_summary
+        tally_avg._sp_filename = self._sp_filename
+        tally_avg._results_read = self._results_read
+
+        # Get tally data arrays reshaped with one dimension per filter
+        mean = self.get_reshaped_data(value='mean')
+        std_dev = self.get_reshaped_data(value='std_dev')
+
+        # Average across any filter bins specified by the user
+        if filter_type in _FILTER_TYPES:
+            find_filter = self.find_filter(filter_type)
+
+            # If user did not specify filter bins, average across all bins
+            if len(filter_bins) == 0:
+                bin_indices = np.arange(find_filter.num_bins)
+
+                if filter_type == 'distribcell':
+                    filter_bins = np.arange(find_filter.num_bins)
+                else:
+                    num_bins = find_filter.num_bins
+                    filter_bins = \
+                        [(find_filter.get_bin(i)) for i in range(num_bins)]
+
+            # Only average across bins specified by the user
+            else:
+                bin_indices = \
+                    [find_filter.get_bin_index(bin) for bin in filter_bins]
+
+            # Average across the bins in the user-specified filter
+            for i, self_filter in enumerate(self.filters):
+                if self_filter.type == filter_type:
+                    mean = np.take(mean, indices=bin_indices, axis=i)
+                    std_dev = np.take(std_dev, indices=bin_indices, axis=i)
+                    mean = np.mean(mean, axis=i, keepdims=True)
+                    std_dev = np.mean(std_dev**2, axis=i, keepdims=True)
+                    std_dev /= len(bin_indices)
+                    std_dev = np.sqrt(std_dev)
+
+                    # Add AggregateFilter to the tally avg
+                    if not remove_filter:
+                        filter_sum = \
+                            AggregateFilter(self_filter, [tuple(filter_bins)], 'avg')
+                        tally_avg.filters.append(filter_sum)
+
+                # Add a copy of each filter not averaged across to the tally avg
+                else:
+                    tally_avg.filters.append(copy.deepcopy(self_filter))
+
+        # Add a copy of this tally's filters to the tally avg
+        else:
+            tally_avg._filters = copy.deepcopy(self.filters)
+
+        # Sum across any nuclides specified by the user
+        if len(nuclides) != 0:
+            nuclide_bins = [self.get_nuclide_index(nuclide) for nuclide in nuclides]
+            axis_index = self.num_filters
+            mean = np.take(mean, indices=nuclide_bins, axis=axis_index)
+            std_dev = np.take(std_dev, indices=nuclide_bins, axis=axis_index)
+            mean = np.mean(mean, axis=axis_index, keepdims=True)
+            std_dev = np.mean(std_dev**2, axis=axis_index, keepdims=True)
+            std_dev /= len(nuclide_bins)
+            std_dev = np.sqrt(std_dev)
+
+            # Add AggregateNuclide to the tally avg
+            nuclide_avg = AggregateNuclide(nuclides, 'avg')
+            tally_avg.nuclides.append(nuclide_avg)
+
+        # Add a copy of this tally's nuclides to the tally avg
+        else:
+            tally_avg._nuclides = copy.deepcopy(self.nuclides)
+
+        # Sum across any scores specified by the user
+        if len(scores) != 0:
+            score_bins = [self.get_score_index(score) for score in scores]
+            axis_index = self.num_filters + 1
+            mean = np.take(mean, indices=score_bins, axis=axis_index)
+            std_dev = np.take(std_dev, indices=score_bins, axis=axis_index)
+            mean = np.sum(mean, axis=axis_index, keepdims=True)
+            std_dev = np.sum(std_dev**2, axis=axis_index, keepdims=True)
+            std_dev /= len(score_bins)
+            std_dev = np.sqrt(std_dev)
+
+            # Add AggregateScore to the tally avg
+            score_sum = AggregateScore(scores, 'avg')
+            tally_avg.scores.append(score_sum)
+
+        # Add a copy of this tally's scores to the tally avg
+        else:
+            tally_avg._scores = copy.deepcopy(self.scores)
+
+        # Update the tally avg's filter strides
+        tally_avg._update_filter_strides()
+
+        # Reshape condensed data arrays with one dimension for all filters
+        mean = np.reshape(mean, tally_avg.shape)
+        std_dev = np.reshape(std_dev, tally_avg.shape)
+
+        # Assign tally avg's data with the new arrays
+        tally_avg._mean = mean
+        tally_avg._std_dev = std_dev
+
+        # If original tally was sparse, sparsify the tally average
+        tally_avg.sparse = self.sparse
+        return tally_avg
+
     def diagonalize_filter(self, new_filter):
         """Diagonalize the tally data array along a new axis of filter bins.
 
@@ -2555,7 +3313,7 @@ class Tally(object):
 
         Returns
         -------
-        Tally
+        openmc.Tally
             A new derived Tally with data diagaonalized along the new filter.
 
         """
@@ -2569,13 +3327,7 @@ class Tally(object):
 
         # Add the new filter to a copy of this Tally
         new_tally = copy.deepcopy(self)
-        new_tally.add_filter(new_filter)
-
-        # Determine the shape of data in the new diagonalized Tally
-        num_filter_bins = new_tally.num_filter_bins
-        num_nuclides = new_tally.num_nuclides
-        num_score_bins = new_tally.num_score_bins
-        new_shape = (num_filter_bins, num_nuclides, num_score_bins)
+        new_tally.filters.append(new_filter)
 
         # Determine "base" indices along the new "diagonal", and the factor
         # by which the "base" indices should be repeated to account for all
@@ -2591,98 +3343,142 @@ class Tally(object):
             diag_indices[start:end] = indices + (i * new_filter.num_bins**2)
 
         # Inject this Tally's data along the diagonal of the diagonalized Tally
-        if self.sum is not None:
-            new_tally._sum = np.zeros(new_shape, dtype=np.float64)
+        if not self.derived and self.sum is not None:
+            new_tally._sum = np.zeros(new_tally.shape, dtype=np.float64)
             new_tally._sum[diag_indices, :, :] = self.sum
-        if self.sum_sq is not None:
-            new_tally._sum_sq = np.zeros(new_shape, dtype=np.float64)
+        if not self.derived and self.sum_sq is not None:
+            new_tally._sum_sq = np.zeros(new_tally.shape, dtype=np.float64)
             new_tally._sum_sq[diag_indices, :, :] = self.sum_sq
         if self.mean is not None:
-            new_tally._mean = np.zeros(new_shape, dtype=np.float64)
+            new_tally._mean = np.zeros(new_tally.shape, dtype=np.float64)
             new_tally._mean[diag_indices, :, :] = self.mean
         if self.std_dev is not None:
-            new_tally._std_dev = np.zeros(new_shape, dtype=np.float64)
+            new_tally._std_dev = np.zeros(new_tally.shape, dtype=np.float64)
             new_tally._std_dev[diag_indices, :, :] = self.std_dev
 
-        # Correct each Filter's stride
-        stride = new_tally.num_nuclides * new_tally.num_score_bins
-        for filter in reversed(new_tally.filters):
-            filter.stride = stride
-            stride *= filter.num_bins
+        # Update the new tally's filter strides
+        new_tally._update_filter_strides()
 
+        # If original tally was sparse, sparsify the diagonalized tally
+        new_tally.sparse = self.sparse
         return new_tally
 
 
-class TalliesFile(object):
-    """Tallies file used for an OpenMC simulation. Corresponds directly to the
-    tallies.xml input file.
+class Tallies(cv.CheckedList):
+    """Collection of Tallies used for an OpenMC simulation.
+
+    This class corresponds directly to the tallies.xml input file. It can be
+    thought of as a normal Python list where each member is a :class:`Tally`. It
+    behaves like a list as the following example demonstrates:
+
+    >>> t1 = openmc.Tally()
+    >>> t2 = openmc.Tally()
+    >>> t3 = openmc.Tally()
+    >>> tallies = openmc.Tallies([t1])
+    >>> tallies.append(t2)
+    >>> tallies += [t3]
+
+    Parameters
+    ----------
+    tallies : Iterable of openmc.Tally
+        Tallies to add to the collection
 
     """
 
-    def __init__(self):
-        # Initialize TalliesFile class attributes
-        self._tallies = []
-        self._meshes = []
+    def __init__(self, tallies=None):
+        super(Tallies, self).__init__(Tally, 'tallies collection')
         self._tallies_file = ET.Element("tallies")
-
-    @property
-    def tallies(self):
-        return self._tallies
-
-    @property
-    def meshes(self):
-        return self._meshes
+        if tallies is not None:
+            self += tallies
 
     def add_tally(self, tally, merge=False):
-        """Add a tally to the file
+        """Append tally to collection
+
+        .. deprecated:: 0.8
+            Use :meth:`Tallies.append` instead.
 
         Parameters
         ----------
-        tally : Tally
-            Tally to add to file
-
+        tally : openmc.Tally
+            Tally to add
         merge : bool
             Indicate whether the tally should be merged with an existing tally,
             if possible. Defaults to False.
 
         """
+        warnings.warn("Tallies.add_tally(...) has been deprecated and may be "
+                      "removed in a future version. Use Tallies.append(...) "
+                      "instead.", DeprecationWarning)
+        self.append(tally, merge)
 
+    def append(self, tally, merge=False):
+        """Append tally to collection
+
+        Parameters
+        ----------
+        tally : openmc.Tally
+            Tally to append
+        merge : bool
+            Indicate whether the tally should be merged with an existing tally,
+            if possible. Defaults to False.
+
+        """
         if not isinstance(tally, Tally):
-            msg = 'Unable to add a non-Tally "{0}" to the TalliesFile'.format(tally)
-            raise ValueError(msg)
+            msg = 'Unable to add a non-Tally "{0}" to the ' \
+                  'Tallies instance'.format(tally)
+            raise TypeError(msg)
 
         if merge:
             merged = False
 
             # Look for a tally to merge with this one
-            for i, tally2 in enumerate(self._tallies):
+            for i, tally2 in enumerate(self):
 
                 # If a mergeable tally is found
                 if tally2.can_merge(tally):
-                    # Replace tally 2 with the merged tally
+                    # Replace tally2 with the merged tally
                     merged_tally = tally2.merge(tally)
-                    self._tallies[i] = merged_tally
+                    self[i] = merged_tally
                     merged = True
                     break
 
-            # If not mergeable tally was found, simply add this tally
+            # If no mergeable tally was found, simply add this tally
             if not merged:
-                self._tallies.append(tally)
+                super(Tallies, self).append(tally)
 
         else:
-            self._tallies.append(tally)
+            super(Tallies, self).append(tally)
 
-    def remove_tally(self, tally):
-        """Remove a tally from the file
+    def insert(self, index, item):
+        """Insert tally before index
 
         Parameters
         ----------
-        tally : Tally
+        index : int
+            Index in list
+        item : openmc.Tally
+            Tally to insert
+
+        """
+        super(Tallies, self).insert(index, item)
+
+    def remove_tally(self, tally):
+        """Remove a tally from the collection
+
+        .. deprecated:: 0.8
+            Use :meth:`Tallies.remove` instead.
+
+        Parameters
+        ----------
+        tally : openmc.Tally
             Tally to remove
 
         """
+        warnings.warn("Tallies.remove_tally(...) has been deprecated and may "
+                      "be removed in a future version. Use Tallies.remove(...) "
+                      "instead.", DeprecationWarning)
 
-        self._tallies.remove(tally)
+        self.remove(tally)
 
     def merge_tallies(self):
         """Merge any mergeable tallies together. Note that n-way merges are
@@ -2690,8 +3486,8 @@ class TalliesFile(object):
 
         """
 
-        for i, tally1 in enumerate(self._tallies):
-            for j, tally2 in enumerate(self._tallies):
+        for i, tally1 in enumerate(self):
+            for j, tally2 in enumerate(self):
                 # Do not merge the same tally with itself
                 if i == j:
                     continue
@@ -2700,10 +3496,10 @@ class TalliesFile(object):
                 if tally1.can_merge(tally2):
                     # Replace tally 1 with the merged tally
                     merged_tally = tally1.merge(tally2)
-                    self._tallies[i] = merged_tally
+                    self[i] = merged_tally
 
                     # Remove tally 2 since it is no longer needed
-                    self._tallies.pop(j)
+                    self.pop(j)
 
                     # Continue iterating from the first loop
                     break
@@ -2711,43 +3507,54 @@ class TalliesFile(object):
     def add_mesh(self, mesh):
         """Add a mesh to the file
 
+        .. deprecated:: 0.8
+            Meshes that appear in a tally are automatically added to the
+            collection.
+
         Parameters
         ----------
-        mesh : openmc.mesh.Mesh
+        mesh : openmc.Mesh
             Mesh to add to the file
 
         """
 
-        if not isinstance(mesh, Mesh):
-            msg = 'Unable to add a non-Mesh "{0}" to the TalliesFile'.format(mesh)
-            raise ValueError(msg)
-
-        self._meshes.append(mesh)
+        warnings.warn("Tallies.add_mesh(...) has been deprecated and may be "
+                      "removed in a future version. Meshes that appear in a "
+                      "tally are automatically added to the collection.",
+                      DeprecationWarning)
 
     def remove_mesh(self, mesh):
         """Remove a mesh from the file
 
+        .. deprecated:: 0.8
+            Meshes do not need to be managed explicitly.
+
         Parameters
         ----------
-        mesh : openmc.mesh.Mesh
+        mesh : openmc.Mesh
             Mesh to remove from the file
 
         """
-
-        self._meshes.remove(mesh)
+        warnings.warn("Tallies.remove_mesh(...) has been deprecated and may be "
+                      "removed in a future version. Meshes do not need to be "
+                      "managed explicitly.", DeprecationWarning)
 
     def _create_tally_subelements(self):
-        for tally in self._tallies:
+        for tally in self:
             xml_element = tally.get_tally_xml()
             self._tallies_file.append(xml_element)
 
     def _create_mesh_subelements(self):
-        for mesh in self._meshes:
-            if len(mesh._name) > 0:
-                self._tallies_file.append(ET.Comment(mesh._name))
+        already_written = set()
+        for tally in self:
+            for f in tally.filters:
+                if f.type == 'mesh' and f.mesh not in already_written:
+                    if len(f.mesh.name) > 0:
+                        self._tallies_file.append(ET.Comment(f.mesh.name))
 
-            xml_element = mesh.get_mesh_xml()
-            self._tallies_file.append(xml_element)
+                    xml_element = f.mesh.get_mesh_xml()
+                    self._tallies_file.append(xml_element)
+                    already_written.add(f.mesh)
 
     def export_to_xml(self):
         """Create a tallies.xml file that can be used for a simulation.
@@ -2766,4 +3573,4 @@ class TalliesFile(object):
         # Write the XML Tree to the tallies.xml file
         tree = ET.ElementTree(self._tallies_file)
         tree.write("tallies.xml", xml_declaration=True,
-                             encoding='utf-8', method="xml")
+                   encoding='utf-8', method="xml")
diff --git a/openmc/trigger.py b/openmc/trigger.py
index bcac8c31c6..f23838dcff 100644
--- a/openmc/trigger.py
+++ b/openmc/trigger.py
@@ -1,8 +1,10 @@
 from numbers import Real
 from xml.etree import ElementTree as ET
 import sys
+import warnings
+from collections import Iterable
 
-from openmc.checkvalue import check_type, check_value
+import openmc.checkvalue as cv
 
 if sys.version_info[0] >= 3:
     basestring = str
@@ -37,32 +39,8 @@ class Trigger(object):
         self.threshold = threshold
         self._scores = []
 
-    def __deepcopy__(self, memo):
-        existing = memo.get(id(self))
-
-        # If this is first time we have tried to copy this object, create a copy
-        if existing is None:
-            clone = type(self).__new__(type(self))
-            clone._trigger_type = self._trigger_type
-            clone._threshold = self._threshold
-
-            clone._scores = []
-            for score in self._scores:
-                clone.add_score(score)
-
-            memo[id(self)] = clone
-
-            return clone
-
-        # If this object has been copied before, return the first copy made
-        else:
-            return existing
-
     def __eq__(self, other):
-        if str(self) == str(other):
-            return True
-        else:
-            return False
+        return str(self) == str(other)
 
     def __ne__(self, other):
         return not self == other
@@ -88,15 +66,26 @@ class Trigger(object):
 
     @trigger_type.setter
     def trigger_type(self, trigger_type):
-        check_value('tally trigger type', trigger_type,
-                    ['variance', 'std_dev', 'rel_err'])
+        cv.check_value('tally trigger type', trigger_type,
+                       ['variance', 'std_dev', 'rel_err'])
         self._trigger_type = trigger_type
 
     @threshold.setter
     def threshold(self, threshold):
-        check_type('tally trigger threshold', threshold, Real)
+        cv.check_type('tally trigger threshold', threshold, Real)
         self._threshold = threshold
 
+    @scores.setter
+    def scores(self, scores):
+        cv.check_type('trigger scores', scores, Iterable, basestring)
+
+        # Set scores making sure not to have duplicates
+        self._scores = []
+        for score in scores:
+            if score not in self._scores:
+                self._scores.append(score)
+
+
     def add_score(self, score):
         """Add a score to the list of scores to be checked against the trigger.
 
@@ -107,16 +96,11 @@ class Trigger(object):
 
         """
 
-        if not isinstance(score, basestring):
-            msg = 'Unable to add score "{0}" to tally trigger since ' \
-                  'it is not a string'.format(score)
-            raise ValueError(msg)
-
-        # If the score is already in the Tally, don't add it again
-        if score in self._scores:
-            return
-        else:
-            self._scores.append(score)
+        warnings.warn('Trigger.add_score(...) has been deprecated and may be '
+                      'removed in a future version. Tally trigger scores should '
+                      'be defined using the scores property directly.',
+                      DeprecationWarning)
+        self.scores.append(score)
 
     def get_trigger_xml(self, element):
         """Return XML representation of the trigger
diff --git a/openmc/universe.py b/openmc/universe.py
index 98367c381b..c8e7fcab1e 100644
--- a/openmc/universe.py
+++ b/openmc/universe.py
@@ -1,435 +1,26 @@
-import abc
 from collections import OrderedDict, Iterable
-from numbers import Real, Integral
-from xml.etree import ElementTree as ET
+from numbers import Integral
+import random
 import sys
-import warnings
 
 import numpy as np
 
 import openmc
 import openmc.checkvalue as cv
-from openmc.surface import Halfspace
-from openmc.region import Region, Intersection, Complement
 
 if sys.version_info[0] >= 3:
     basestring = str
 
-
-# DeprecationWarning filter for the Cell.add_surface(...) method
-warnings.simplefilter('always', DeprecationWarning)
-
-# A static variable for auto-generated Cell IDs
-AUTO_CELL_ID = 10000
-
 # A dictionary for storing IDs of cell elements that have already been written,
 # used to optimize the writing process
 WRITTEN_IDS = {}
 
-
-def reset_auto_cell_id():
-    global AUTO_CELL_ID
-    AUTO_CELL_ID = 10000
-
-
-class Cell(object):
-    """A region of space defined as the intersection of half-space created by
-    quadric surfaces.
-
-    Parameters
-    ----------
-    cell_id : int, optional
-        Unique identifier for the cell. If not specified, an identifier will
-        automatically be assigned.
-    name : str, optional
-        Name of the cell. If not specified, the name is the empty string.
-
-    Attributes
-    ----------
-    id : int
-        Unique identifier for the cell
-    name : str
-        Name of the cell
-    fill : Material or Universe or Lattice or 'void'
-        Indicates what the region of space is filled with
-    region : openmc.region.Region
-        Region of space that is assigned to the cell.
-    rotation : ndarray
-        If the cell is filled with a universe, this array specifies the angles
-        in degrees about the x, y, and z axes that the filled universe should be
-        rotated.
-    translation : ndarray
-        If the cell is filled with a universe, this array specifies a vector
-        that is used to translate (shift) the universe.
-    offsets : ndarray
-        Array of offsets used for distributed cell searches
-
-    """
-
-    def __init__(self, cell_id=None, name=''):
-        # Initialize Cell class attributes
-        self.id = cell_id
-        self.name = name
-        self._fill = None
-        self._type = None
-        self._region = None
-        self._rotation = None
-        self._translation = None
-        self._offsets = None
-
-    def __eq__(self, other):
-        if not isinstance(other, Cell):
-            return False
-        elif self.id != other.id:
-            return False
-        elif self.name != other.name:
-            return False
-        elif self.fill != other.fill:
-             return False
-        elif self.region != other.region:
-            return False
-        elif self.rotation != other.rotation:
-            return False
-        elif self.translation != other.translation:
-            return False
-        else:
-            return True
-
-    def __ne__(self, other):
-        return not self == other
-
-    def __hash__(self):
-        return hash(repr(self))
-
-    def __repr__(self):
-        string = 'Cell\n'
-        string += '{0: <16}{1}{2}\n'.format('\tID', '=\t', self._id)
-        string += '{0: <16}{1}{2}\n'.format('\tName', '=\t', self._name)
-
-        if isinstance(self._fill, openmc.Material):
-            string += '{0: <16}{1}{2}\n'.format('\tMaterial', '=\t',
-                                                self._fill._id)
-        elif isinstance(self._fill, (Universe, Lattice)):
-            string += '{0: <16}{1}{2}\n'.format('\tFill', '=\t',
-                                                self._fill._id)
-        else:
-            string += '{0: <16}{1}{2}\n'.format('\tFill', '=\t', self._fill)
-
-        string += '{0: <16}{1}{2}\n'.format('\tRegion', '=\t', self._region)
-
-        string += '{0: <16}{1}{2}\n'.format('\tRotation', '=\t',
-                                            self._rotation)
-        string += '{0: <16}{1}{2}\n'.format('\tTranslation', '=\t',
-                                            self._translation)
-        string += '{0: <16}{1}{2}\n'.format('\tOffset', '=\t', self._offsets)
-
-        return string
-
-    @property
-    def id(self):
-        return self._id
-
-    @property
-    def name(self):
-        return self._name
-
-    @property
-    def fill(self):
-        return self._fill
-
-    @property
-    def fill_type(self):
-        if isinstance(self.fill, openmc.Material):
-            return 'material'
-        elif isinstance(self.fill, openmc.Universe):
-            return 'universe'
-        elif isinstance(self.fill, openmc.Lattice):
-            return 'lattice'
-        else:
-            return None
-
-    @property
-    def region(self):
-        return self._region
-
-    @property
-    def rotation(self):
-        return self._rotation
-
-    @property
-    def translation(self):
-        return self._translation
-
-    @property
-    def offsets(self):
-        return self._offsets
-
-    @id.setter
-    def id(self, cell_id):
-        if cell_id is None:
-            global AUTO_CELL_ID
-            self._id = AUTO_CELL_ID
-            AUTO_CELL_ID += 1
-        else:
-            cv.check_type('cell ID', cell_id, Integral)
-            cv.check_greater_than('cell ID', cell_id, 0, equality=True)
-            self._id = cell_id
-
-    @name.setter
-    def name(self, name):
-        if name is not None:
-            cv.check_type('cell name', name, basestring)
-            self._name = name
-        else:
-            self._name = ''
-
-    @fill.setter
-    def fill(self, fill):
-        if isinstance(fill, basestring):
-            if fill.strip().lower() == 'void':
-                self._type = 'void'
-            else:
-                msg = 'Unable to set Cell ID="{0}" to use a non-Material or ' \
-                       'Universe fill "{1}"'.format(self._id, fill)
-                raise ValueError(msg)
-
-        elif isinstance(fill, openmc.Material):
-            self._type = 'normal'
-
-        elif isinstance(fill, Universe):
-            self._type = 'fill'
-
-        elif isinstance(fill, Lattice):
-            self._type = 'lattice'
-
-        else:
-            msg = 'Unable to set Cell ID="{0}" to use a non-Material or ' \
-                   'Universe fill "{1}"'.format(self._id, fill)
-            raise ValueError(msg)
-
-        self._fill = fill
-
-    @rotation.setter
-    def rotation(self, rotation):
-        cv.check_type('cell rotation', rotation, Iterable, Real)
-        cv.check_length('cell rotation', rotation, 3)
-        self._rotation = rotation
-
-    @translation.setter
-    def translation(self, translation):
-        cv.check_type('cell translation', translation, Iterable, Real)
-        cv.check_length('cell translation', translation, 3)
-        self._translation = translation
-
-    @offsets.setter
-    def offsets(self, offsets):
-        cv.check_type('cell offsets', offsets, Iterable)
-        self._offsets = offsets
-
-    @region.setter
-    def region(self, region):
-        cv.check_type('cell region', region, Region)
-        self._region = region
-
-    def add_surface(self, surface, halfspace):
-        """Add a half-space to the list of half-spaces whose intersection defines the
-        cell.
-
-        Parameters
-        ----------
-        surface : openmc.surface.Surface
-            Quadric surface dividing space
-        halfspace : {-1, 1}
-            Indicate whether the negative or positive half-space is to be used
-
-        """
-
-        warnings.warn("Cell.add_surface(...) has been deprecated and may be "
-                      "removed in a future version. The region for a Cell "
-                      "should be defined using the region property directly.",
-                      DeprecationWarning)
-
-        if not isinstance(surface, openmc.Surface):
-            msg = 'Unable to add Surface "{0}" to Cell ID="{1}" since it is ' \
-                        'not a Surface object'.format(surface, self._id)
-            raise ValueError(msg)
-
-        if halfspace not in [-1, +1]:
-            msg = 'Unable to add Surface "{0}" to Cell ID="{1}" with halfspace ' \
-                  '"{2}" since it is not +/-1'.format(surface, self._id, halfspace)
-            raise ValueError(msg)
-
-        # If no region has been assigned, simply use the half-space. Otherwise,
-        # take the intersection of the current region and the half-space
-        # specified
-        region = +surface if halfspace == 1 else -surface
-        if self.region is None:
-            self.region = region
-        else:
-            if isinstance(self.region, Intersection):
-                self.region.nodes.append(region)
-            else:
-                self.region = Intersection(self.region, region)
-
-    def get_offset(self, path, filter_offset):
-        # Get the current element and remove it from the list
-        cell_id = path[0]
-        path = path[1:]
-
-        # If the Cell is filled by a Material
-        if self._type == 'normal' or self._type == 'void':
-            offset = 0
-
-        # If the Cell is filled by a Universe
-        elif self._type == 'fill':
-            offset = self._offsets[filter_offset-1]
-            offset += self._fill.get_offset(path, filter_offset)
-
-        # If the Cell is filled by a Lattice
-        else:
-            offset = self._fill.get_offset(path, filter_offset)
-
-        return offset
-
-    def get_all_nuclides(self):
-        """Return all nuclides contained in the cell
-
-        Returns
-        -------
-        nuclides : dict
-            Dictionary whose keys are nuclide names and values are 2-tuples of
-            (nuclide, density)
-
-        """
-
-        nuclides = OrderedDict()
-
-        if self._type != 'void':
-            nuclides.update(self._fill.get_all_nuclides())
-
-        return nuclides
-
-    def get_all_cells(self):
-        """Return all cells that are contained within this one if it is filled with a
-        universe or lattice
-
-        Returns
-        -------
-        cells : dict
-            Dictionary whose keys are cell IDs and values are Cell instances
-
-        """
-
-        cells = OrderedDict()
-
-        if self._type == 'fill' or self._type == 'lattice':
-            cells.update(self._fill.get_all_cells())
-
-        return cells
-
-    def get_all_materials(self):
-        """Return all materials that are contained within the cell
-
-        Returns
-        -------
-        materials : dict
-            Dictionary whose keys are material IDs and values are Material instances
-
-        """
-
-        materials = OrderedDict()
-        if self.fill_type == 'material':
-            materials[self.fill.id] = self.fill
-
-        # Append all Cells in each Cell in the Universe to the dictionary
-        cells = self.get_all_cells()
-        for cell_id, cell in cells.items():
-            materials.update(cell.get_all_materials())
-
-        return materials
-
-    def get_all_universes(self):
-        """Return all universes that are contained within this one if any of
-        its cells are filled with a universe or lattice.
-
-        Returns
-        -------
-        universes : dict
-            Dictionary whose keys are universe IDs and values are Universe
-            instances
-
-        """
-
-        universes = OrderedDict()
-
-        if self._type == 'fill':
-            universes[self._fill._id] = self._fill
-            universes.update(self._fill.get_all_universes())
-        elif self._type == 'lattice':
-            universes.update(self._fill.get_all_universes())
-
-        return universes
-
-    def create_xml_subelement(self, xml_element):
-        element = ET.Element("cell")
-        element.set("id", str(self._id))
-
-        if len(self._name) > 0:
-            element.set("name", str(self._name))
-
-        if isinstance(self._fill, openmc.Material):
-            element.set("material", str(self._fill._id))
-
-        elif isinstance(self._fill, (Universe, Lattice)):
-            element.set("fill", str(self._fill._id))
-            self._fill.create_xml_subelement(xml_element)
-
-        elif self._fill.strip().lower() == "void":
-            element.set("material", "void")
-
-        else:
-            element.set("fill", str(self._fill))
-            self._fill.create_xml_subelement(xml_element)
-
-        if self.region is not None:
-            # Set the region attribute with the region specification
-            element.set("region", str(self.region))
-
-            # Only surfaces that appear in a region are added to the geometry
-            # file, so the appropriate check is performed here. First we create
-            # a function which is called recursively to navigate through the CSG
-            # tree. When it reaches a leaf (a Halfspace), it creates a <surface>
-            # element for the corresponding surface if none has been created
-            # thus far.
-            def create_surface_elements(node, element):
-                if isinstance(node, Halfspace):
-                    path = './surface[@id=\'{0}\']'.format(node.surface.id)
-                    if xml_element.find(path) is None:
-                        surface_subelement = node.surface.create_xml_subelement()
-                        xml_element.append(surface_subelement)
-                elif isinstance(node, Complement):
-                    create_surface_elements(node.node, element)
-                else:
-                    for subnode in node.nodes:
-                        create_surface_elements(subnode, element)
-
-            # Call the recursive function from the top node
-            create_surface_elements(self.region, xml_element)
-
-        if self._translation is not None:
-            element.set("translation", ' '.join(map(str, self._translation)))
-
-        if self._rotation is not None:
-            element.set("rotation", ' '.join(map(str, self._rotation)))
-
-        return element
-
-
 # A static variable for auto-generated Lattice (Universe) IDs
 AUTO_UNIVERSE_ID = 10000
 
 
 def reset_auto_universe_id():
+    """Reset counter for auto-generated universe IDs."""
     global AUTO_UNIVERSE_ID
     AUTO_UNIVERSE_ID = 10000
 
@@ -444,6 +35,8 @@ class Universe(object):
         automatically be assigned
     name : str, optional
         Name of the universe. If not specified, the name is the empty string.
+    cells : Iterable of openmc.Cell, optional
+        Cells to add to the universe. By default no cells are added.
 
     Attributes
     ----------
@@ -451,12 +44,13 @@ class Universe(object):
         Unique identifier of the universe
     name : str
         Name of the universe
-    cells : dict
-        Dictionary whose keys are cell IDs and values are Cell instances
+    cells : collections.OrderedDict
+        Dictionary whose keys are cell IDs and values are :class:`Cell`
+        instances
 
     """
 
-    def __init__(self, universe_id=None, name=''):
+    def __init__(self, universe_id=None, name='', cells=None):
         # Initialize Cell class attributes
         self.id = universe_id
         self.name = name
@@ -468,7 +62,9 @@ class Universe(object):
         # Keys     - Cell IDs
         # Values - Offsets
         self._cell_offsets = OrderedDict()
-        self._num_regions = 0
+
+        if cells is not None:
+            self.add_cells(cells)
 
     def __eq__(self, other):
         if not isinstance(other, Universe):
@@ -494,8 +90,6 @@ class Universe(object):
         string += '{0: <16}{1}{2}\n'.format('\tName', '=\t', self._name)
         string += '{0: <16}{1}{2}\n'.format('\tCells', '=\t',
                                             list(self._cells.keys()))
-        string += '{0: <16}{1}{2}\n'.format('\t# Regions', '=\t',
-                                            self._num_regions)
         return string
 
     @property
@@ -529,22 +123,165 @@ class Universe(object):
         else:
             self._name = ''
 
+    def find(self, point):
+        """Find cells/universes/lattices which contain a given point
+
+        Parameters
+        ----------
+        point : 3-tuple of float
+            Cartesian coordinates of the point
+
+        Returns
+        -------
+        list
+            Sequence of universes, cells, and lattices which are traversed to
+            find the given point
+
+        """
+        p = np.asarray(point)
+        for cell in self._cells.values():
+            if p in cell:
+                if cell.fill_type in ('material', 'distribmat', 'void'):
+                    return [self, cell]
+                elif cell.fill_type == 'universe':
+                    if cell.translation is not None:
+                        p -= cell.translation
+                    if cell.rotation is not None:
+                        p[:] = cell.rotation_matrix.dot(p)
+                    return [self, cell] + cell.fill.find(p)
+                else:
+                    return [self, cell] + cell.fill.find(p)
+        return []
+
+    def plot(self, center=(0., 0., 0.), width=(1., 1.), pixels=(200, 200),
+             basis='xy', color_by='cell', colors=None, filename=None, seed=None):
+        """Display a slice plot of the universe.
+
+        Parameters
+        ----------
+        center : Iterable of float
+            Coordinates at the center of the plot
+        width : Iterable of float
+            Width of the plot in each basis direction
+        pixels : Iterable of int
+            Number of pixels to use in each basis direction
+        basis : {'xy', 'xz', 'yz'}
+            The basis directions for the plot
+        color_by : {'cell', 'material'}
+            Indicate whether the plot should be colored by cell or by material
+        colors : dict
+
+            Assigns colors to specific materials or cells. Keys are instances of
+            :class:`Cell` or :class:`Material` and values are RGB 3-tuples or RGBA
+            4-tuples. Red, green, blue, and alpha should all be floats in the
+            range [0.0, 1.0], for example:
+
+            .. code-block:: python
+
+               # Make water blue
+               water = openmc.Cell(fill=h2o)
+               universe.plot(..., colors={water: (0., 0., 1.))
+
+        filename : str or None
+            Filename to save plot to. If no filename is given, the plot will be
+            displayed using the currently enabled matplotlib backend.
+        seed : hashable object or None
+            Hashable object which is used to seed the random number generator
+            used to select colors. If None, the generator is seeded from the
+            current time.
+
+        """
+        import matplotlib.pyplot as plt
+
+        # Seed the random number generator
+        if seed is not None:
+            random.seed(seed)
+
+        if colors is None:
+            # Create default dictionary if none supplied
+            colors = {}
+        else:
+            # Convert to RGBA if necessary
+            for obj, rgb in colors.items():
+                if len(rgb) == 3:
+                    colors[obj] = rgb + (1.0,)
+
+        if basis == 'xy':
+            x_min = center[0] - 0.5*width[0]
+            x_max = center[0] + 0.5*width[0]
+            y_min = center[1] - 0.5*width[1]
+            y_max = center[1] + 0.5*width[1]
+        elif basis == 'yz':
+            # The x-axis will correspond to physical y and the y-axis will correspond to physical z
+            x_min = center[1] - 0.5*width[0]
+            x_max = center[1] + 0.5*width[0]
+            y_min = center[2] - 0.5*width[1]
+            y_max = center[2] + 0.5*width[1]
+        elif basis == 'xz':
+            # The y-axis will correspond to physical z
+            x_min = center[0] - 0.5*width[0]
+            x_max = center[0] + 0.5*width[0]
+            y_min = center[2] - 0.5*width[1]
+            y_max = center[2] + 0.5*width[1]
+
+        # Determine locations to determine cells at
+        x_coords = np.linspace(x_min, x_max, pixels[0], endpoint=False) + \
+                   0.5*(x_max - x_min)/pixels[0]
+        y_coords = np.linspace(y_max, y_min, pixels[1], endpoint=False) - \
+                   0.5*(y_max - y_min)/pixels[1]
+
+        # Search for locations and assign colors
+        img = np.zeros(pixels + (4,))  # Use RGBA form
+        for i, x in enumerate(x_coords):
+            for j, y in enumerate(y_coords):
+                if basis == 'xy':
+                    path = self.find((x, y, center[2]))
+                elif basis == 'yz':
+                    path = self.find((center[0], x, y))
+                elif basis == 'xz':
+                    path = self.find((x, center[1], y))
+
+                if len(path) > 0:
+                    try:
+                        if color_by == 'cell':
+                            obj = path[-1]
+                        elif color_by == 'material':
+                            if path[-1].fill_type == 'material':
+                                obj = path[-1].fill
+                            else:
+                                continue
+                    except AttributeError:
+                        continue
+                    if obj not in colors:
+                        colors[obj] = (random.random(), random.random(),
+                                       random.random(), 1.0)
+                    img[j, i, :] = colors[obj]
+
+        # Display image
+        plt.imshow(img, extent=(x_min, x_max, y_min, y_max))
+
+        # Show or save the plot
+        if filename is None:
+            plt.show()
+        else:
+            plt.savefig(filename)
+
     def add_cell(self, cell):
         """Add a cell to the universe.
 
         Parameters
         ----------
-        cell : Cell
+        cell : openmc.Cell
             Cell to add
 
         """
 
-        if not isinstance(cell, Cell):
+        if not isinstance(cell, openmc.Cell):
             msg = 'Unable to add a Cell to Universe ID="{0}" since "{1}" is not ' \
                   'a Cell'.format(self._id, cell)
             raise ValueError(msg)
 
-        cell_id = cell._id
+        cell_id = cell.id
 
         if cell_id not in self._cells:
             self._cells[cell_id] = cell
@@ -554,7 +291,7 @@ class Universe(object):
 
         Parameters
         ----------
-        cells : array-like of Cell
+        cells : Iterable of openmc.Cell
             Cells to add
 
         """
@@ -572,12 +309,12 @@ class Universe(object):
 
         Parameters
         ----------
-        cell : Cell
+        cell : openmc.Cell
             Cell to remove
 
         """
 
-        if not isinstance(cell, Cell):
+        if not isinstance(cell, openmc.Cell):
             msg = 'Unable to remove a Cell from Universe ID="{0}" since "{1}" is ' \
                   'not a Cell'.format(self._id, cell)
             raise ValueError(msg)
@@ -591,15 +328,23 @@ class Universe(object):
 
         self._cells.clear()
 
-    def get_offset(self, path, filter_offset):
-        # Get the current element and remove it from the list
-        path = path[1:]
+    def get_cell_instance(self, path, distribcell_index):
 
-        # Get the Cell ID
-        cell_id = path[0]
+        # Pop off the root Universe ID from the path
+        next_index = path.index('-')
+        path = path[next_index+2:]
+
+        # Extract the Cell ID from the path
+        if '-' in path:
+            next_index = path.index('-')
+            cell_id = int(path[:next_index])
+            path = path[next_index+2:]
+        else:
+            cell_id = int(path)
+            path = ''
 
         # Make a recursive call to the Cell within this Universe
-        offset = self._cells[cell_id].get_offset(path, filter_offset)
+        offset = self.cells[cell_id].get_cell_instance(path, distribcell_index)
 
         # Return the offset computed at all nested Universe levels
         return offset
@@ -609,7 +354,7 @@ class Universe(object):
 
         Returns
         -------
-        nuclides : dict
+        nuclides : collections.OrderedDict
             Dictionary whose keys are nuclide names and values are 2-tuples of
             (nuclide, density)
 
@@ -618,7 +363,7 @@ class Universe(object):
         nuclides = OrderedDict()
 
         # Append all Nuclides in each Cell in the Universe to the dictionary
-        for cell_id, cell in self._cells.items():
+        for cell in self._cells.values():
             nuclides.update(cell.get_all_nuclides())
 
         return nuclides
@@ -628,8 +373,9 @@ class Universe(object):
 
         Returns
         -------
-        cells : dict
-            Dictionary whose keys are cell IDs and values are Cell instances
+        cells : collections.OrderedDict
+            Dictionary whose keys are cell IDs and values are :class:`Cell`
+            instances
 
         """
 
@@ -639,7 +385,7 @@ class Universe(object):
         cells.update(self._cells)
 
         # Append all Cells in each Cell in the Universe to the dictionary
-        for cell_id, cell in self._cells.items():
+        for cell in self._cells.values():
             cells.update(cell.get_all_cells())
 
         return cells
@@ -649,8 +395,9 @@ class Universe(object):
 
         Returns
         -------
-        materials : dict
-            Dictionary whose keys are material IDs and values are Material instances
+        materials : Collections.OrderedDict
+            Dictionary whose keys are material IDs and values are
+            :class:`Material` instances
 
         """
 
@@ -658,7 +405,7 @@ class Universe(object):
 
         # Append all Cells in each Cell in the Universe to the dictionary
         cells = self.get_all_cells()
-        for cell_id, cell in cells.items():
+        for cell in cells.values():
             materials.update(cell.get_all_materials())
 
         return materials
@@ -668,9 +415,9 @@ class Universe(object):
 
         Returns
         -------
-        universes : dict
-            Dictionary whose keys are universe IDs and values are Universe
-            instances
+        universes : collections.OrderedDict
+            Dictionary whose keys are universe IDs and values are
+            :class:`Universe` instances
 
         """
 
@@ -680,7 +427,7 @@ class Universe(object):
         universes = OrderedDict()
 
         # Append all Universes containing each Cell to the dictionary
-        for cell_id, cell in cells.items():
+        for cell in cells.values():
             universes.update(cell.get_all_universes())
 
         return universes
@@ -700,848 +447,3 @@ class Universe(object):
                 # Append the Universe ID to the subelement and add to Element
                 cell_subelement.set("universe", str(self._id))
                 xml_element.append(cell_subelement)
-
-
-class Lattice(object):
-    """A repeating structure wherein each element is a universe.
-
-    Parameters
-    ----------
-    lattice_id : int, optional
-        Unique identifier for the lattice. If not specified, an identifier will
-        automatically be assigned.
-    name : str, optional
-        Name of the lattice. If not specified, the name is the empty string.
-
-    Attributes
-    ----------
-    id : int
-        Unique identifier for the lattice
-    name : str
-        Name of the lattice
-    pitch : float
-        Pitch of the lattice in cm
-    outer : int
-        The unique identifier of a universe to fill all space outside the
-        lattice
-    universes : ndarray of Universe
-        An array of universes filling each element of the lattice
-
-    """
-
-    # This is an abstract class which cannot be instantiated
-    __metaclass__ = abc.ABCMeta
-
-    def __init__(self, lattice_id=None, name=''):
-        # Initialize Lattice class attributes
-        self.id = lattice_id
-        self.name = name
-        self._pitch = None
-        self._outer = None
-        self._universes = None
-
-    def __eq__(self, other):
-        if not isinstance(other, Lattice):
-            return False
-        elif self.id != other.id:
-            return False
-        elif self.name != other.name:
-            return False
-        elif self.pitch != other.pitch:
-            return False
-        elif self.outer != other.outer:
-            return False
-        elif self.universes != other.universes:
-            return False
-        else:
-            return True
-
-    def __ne__(self, other):
-        return not self == other
-
-    @property
-    def id(self):
-        return self._id
-
-    @property
-    def name(self):
-        return self._name
-
-    @property
-    def pitch(self):
-        return self._pitch
-
-    @property
-    def outer(self):
-        return self._outer
-
-    @property
-    def universes(self):
-        return self._universes
-
-    @id.setter
-    def id(self, lattice_id):
-        if lattice_id is None:
-            global AUTO_UNIVERSE_ID
-            self._id = AUTO_UNIVERSE_ID
-            AUTO_UNIVERSE_ID += 1
-        else:
-            cv.check_type('lattice ID', lattice_id, Integral)
-            cv.check_greater_than('lattice ID', lattice_id, 0, equality=True)
-            self._id = lattice_id
-
-    @name.setter
-    def name(self, name):
-        if name is not None:
-            cv.check_type('lattice name', name, basestring)
-            self._name = name
-        else:
-            self._name = ''
-
-    @outer.setter
-    def outer(self, outer):
-        cv.check_type('outer universe', outer, Universe)
-        self._outer = outer
-
-    @universes.setter
-    def universes(self, universes):
-        cv.check_iterable_type('lattice universes', universes, Universe,
-                               min_depth=2, max_depth=3)
-        self._universes = universes
-
-    def get_unique_universes(self):
-        """Determine all unique universes in the lattice
-
-        Returns
-        -------
-        universes : dict
-            Dictionary whose keys are universe IDs and values are Universe
-            instances
-
-        """
-
-        univs = OrderedDict()
-        for k in range(len(self._universes)):
-            for j in range(len(self._universes[k])):
-                if isinstance(self._universes[k][j], Universe):
-                    u = self._universes[k][j]
-                    univs[u._id] = u
-                else:
-                    for i in range(len(self._universes[k][j])):
-                        u = self._universes[k][j][i]
-                        assert isinstance(u, Universe)
-                        univs[u._id] = u
-
-        if self.outer is not None:
-            univs[self.outer._id] = self.outer
-
-        return univs
-
-    def get_all_nuclides(self):
-        """Return all nuclides contained in the lattice
-
-        Returns
-        -------
-        nuclides : dict
-            Dictionary whose keys are nuclide names and values are 2-tuples of
-            (nuclide, density)
-
-        """
-
-        nuclides = OrderedDict()
-
-        # Get all unique Universes contained in each of the lattice cells
-        unique_universes = self.get_unique_universes()
-
-        # Append all Universes containing each cell to the dictionary
-        for universe_id, universe in unique_universes.items():
-            nuclides.update(universe.get_all_nuclides())
-
-        return nuclides
-
-    def get_all_cells(self):
-        """Return all cells that are contained within the lattice
-
-        Returns
-        -------
-        cells : dict
-            Dictionary whose keys are cell IDs and values are Cell instances
-
-        """
-
-        cells = OrderedDict()
-        unique_universes = self.get_unique_universes()
-
-        for universe_id, universe in unique_universes.items():
-            cells.update(universe.get_all_cells())
-
-        return cells
-
-    def get_all_materials(self):
-        """Return all materials that are contained within the lattice
-
-        Returns
-        -------
-        materials : dict
-            Dictionary whose keys are material IDs and values are Material instances
-
-        """
-
-        materials = OrderedDict()
-
-        # Append all Cells in each Cell in the Universe to the dictionary
-        cells = self.get_all_cells()
-        for cell_id, cell in cells.items():
-            materials.update(cell.get_all_materials())
-
-        return materials
-
-    def get_all_universes(self):
-        """Return all universes that are contained within the lattice
-
-        Returns
-        -------
-        universes : dict
-            Dictionary whose keys are universe IDs and values are Universe
-            instances
-
-        """
-
-        # Initialize a dictionary of all Universes contained by the Lattice
-        # in each nested Universe level
-        all_universes = OrderedDict()
-
-        # Get all unique Universes contained in each of the lattice cells
-        unique_universes = self.get_unique_universes()
-
-        # Add the unique Universes filling each Lattice cell
-        all_universes.update(unique_universes)
-
-        # Append all Universes containing each cell to the dictionary
-        for universe_id, universe in unique_universes.items():
-            all_universes.update(universe.get_all_universes())
-
-        return all_universes
-
-
-class RectLattice(Lattice):
-    """A lattice consisting of rectangular prisms.
-
-    Parameters
-    ----------
-    lattice_id : int, optional
-        Unique identifier for the lattice. If not specified, an identifier will
-        automatically be assigned.
-    name : str, optional
-        Name of the lattice. If not specified, the name is the empty string.
-
-    Attributes
-    ----------
-    id : int
-        Unique identifier for the lattice
-    name : str
-        Name of the lattice
-    dimension : array-like of int
-        An array of two or three integers representing the number of lattice
-        cells in the x- and y- (and z-) directions, respectively.
-    lower_left : array-like of float
-        The coordinates of the lower-left corner of the lattice. If the lattice
-        is two-dimensional, only the x- and y-coordinates are specified.
-
-    """
-
-    def __init__(self, lattice_id=None, name=''):
-        super(RectLattice, self).__init__(lattice_id, name)
-
-        # Initialize Lattice class attributes
-        self._dimension = None
-        self._lower_left = None
-        self._offsets = None
-
-    def __eq__(self, other):
-        if not isinstance(other, RectLattice):
-            return False
-        elif not super(RectLattice, self).__eq__(other):
-            return False
-        elif self.dimension != other.dimension:
-            return False
-        elif self.lower_left != other.lower_left:
-            return False
-        else:
-            return True
-
-    def __ne__(self, other):
-        return not self == other
-
-    def __hash__(self):
-        return hash(repr(self))
-
-    def __repr__(self):
-        string = 'RectLattice\n'
-        string += '{0: <16}{1}{2}\n'.format('\tID', '=\t', self._id)
-        string += '{0: <16}{1}{2}\n'.format('\tName', '=\t', self._name)
-        string += '{0: <16}{1}{2}\n'.format('\tDimension', '=\t',
-                                            self._dimension)
-        string += '{0: <16}{1}{2}\n'.format('\tLower Left', '=\t',
-                                            self._lower_left)
-        string += '{0: <16}{1}{2}\n'.format('\tPitch', '=\t', self._pitch)
-
-        if self._outer is not None:
-            string += '{0: <16}{1}{2}\n'.format('\tOuter', '=\t',
-                                                self._outer._id)
-        else:
-            string += '{0: <16}{1}{2}\n'.format('\tOuter', '=\t',
-                                                self._outer)
-
-        string += '{0: <16}\n'.format('\tUniverses')
-
-        # Lattice nested Universe IDs - column major for Fortran
-        for i, universe in enumerate(np.ravel(self._universes)):
-            string += '{0} '.format(universe._id)
-
-            # Add a newline character every time we reach end of row of cells
-            if (i+1) % self._dimension[-1] == 0:
-                string += '\n'
-
-        string = string.rstrip('\n')
-
-        if self._offsets is not None:
-            string += '{0: <16}\n'.format('\tOffsets')
-
-            # Lattice cell offsets
-            for i, offset in enumerate(np.ravel(self._offsets)):
-                string += '{0} '.format(offset)
-
-                # Add a newline character when we reach end of row of cells
-                if (i+1) % self._dimension[-1] == 0:
-                    string += '\n'
-
-            string = string.rstrip('\n')
-
-        return string
-
-    @property
-    def dimension(self):
-        return self._dimension
-
-    @property
-    def lower_left(self):
-        return self._lower_left
-
-    @property
-    def offsets(self):
-        return self._offsets
-
-    @dimension.setter
-    def dimension(self, dimension):
-        cv.check_type('lattice dimension', dimension, Iterable, Integral)
-        cv.check_length('lattice dimension', dimension, 2, 3)
-        for dim in dimension:
-            cv.check_greater_than('lattice dimension', dim, 0)
-        self._dimension = dimension
-
-    @lower_left.setter
-    def lower_left(self, lower_left):
-        cv.check_type('lattice lower left corner', lower_left, Iterable, Real)
-        cv.check_length('lattice lower left corner', lower_left, 2, 3)
-        self._lower_left = lower_left
-
-    @offsets.setter
-    def offsets(self, offsets):
-        cv.check_type('lattice offsets', offsets, Iterable)
-        self._offsets = offsets
-
-    @Lattice.pitch.setter
-    def pitch(self, pitch):
-        cv.check_type('lattice pitch', pitch, Iterable, Real)
-        cv.check_length('lattice pitch', pitch, 2, 3)
-        for dim in pitch:
-            cv.check_greater_than('lattice pitch', dim, 0.0)
-        self._pitch = pitch
-
-    def get_offset(self, path, filter_offset):
-        # Get the current element and remove it from the list
-        i = path[0]
-        path = path[1:]
-
-        # For 2D Lattices
-        if len(self._dimension) == 2:
-            offset = self._offsets[i[1]-1, i[2]-1, 0, filter_offset-1]
-            offset += self._universes[i[1]][i[2]].get_offset(path, filter_offset)
-
-        # For 3D Lattices
-        else:
-            offset = self._offsets[i[1]-1, i[2]-1, i[3]-1, filter_offset-1]
-            offset += self._universes[i[1]-1][i[2]-1][i[3]-1].get_offset(path,
-                                                                 filter_offset)
-
-        return offset
-
-    def create_xml_subelement(self, xml_element):
-
-        # Determine if XML element already contains subelement for this Lattice
-        path = './lattice[@id=\'{0}\']'.format(self._id)
-        test = xml_element.find(path)
-
-        # If the element does contain the Lattice subelement, then return
-        if test is not None:
-            return
-
-        lattice_subelement = ET.Element("lattice")
-        lattice_subelement.set("id", str(self._id))
-
-        if len(self._name) > 0:
-            lattice_subelement.set("name", str(self._name))
-
-        # Export the Lattice cell pitch
-        pitch = ET.SubElement(lattice_subelement, "pitch")
-        pitch.text = ' '.join(map(str, self._pitch))
-
-        # Export the Lattice outer Universe (if specified)
-        if self._outer is not None:
-            outer = ET.SubElement(lattice_subelement, "outer")
-            outer.text = '{0}'.format(self._outer._id)
-            self._outer.create_xml_subelement(xml_element)
-
-        # Export Lattice cell dimensions
-        dimension = ET.SubElement(lattice_subelement, "dimension")
-        dimension.text = ' '.join(map(str, self._dimension))
-
-        # Export Lattice lower left
-        lower_left = ET.SubElement(lattice_subelement, "lower_left")
-        lower_left.text = ' '.join(map(str, self._lower_left))
-
-        # Export the Lattice nested Universe IDs - column major for Fortran
-        universe_ids = '\n'
-
-        # 3D Lattices
-        if len(self._dimension) == 3:
-            for z in range(self._dimension[2]):
-                for y in range(self._dimension[1]):
-                    for x in range(self._dimension[0]):
-                        universe = self._universes[x][y][z]
-
-                        # Append Universe ID to the Lattice XML subelement
-                        universe_ids += '{0} '.format(universe._id)
-
-                        # Create XML subelement for this Universe
-                        universe.create_xml_subelement(xml_element)
-
-                    # Add newline character when we reach end of row of cells
-                    universe_ids += '\n'
-
-                # Add newline character when we reach end of row of cells
-                universe_ids += '\n'
-
-        # 2D Lattices
-        else:
-            for y in range(self._dimension[1]):
-                for x in range(self._dimension[0]):
-                    universe = self._universes[x][y]
-
-                    # Append Universe ID to Lattice XML subelement
-                    universe_ids += '{0} '.format(universe._id)
-
-                    # Create XML subelement for this Universe
-                    universe.create_xml_subelement(xml_element)
-
-                # Add newline character when we reach end of row of cells
-                universe_ids += '\n'
-
-        # Remove trailing newline character from Universe IDs string
-        universe_ids = universe_ids.rstrip('\n')
-
-        universes = ET.SubElement(lattice_subelement, "universes")
-        universes.text = universe_ids
-
-        # Append the XML subelement for this Lattice to the XML element
-        xml_element.append(lattice_subelement)
-
-
-class HexLattice(Lattice):
-    """A lattice consisting of hexagonal prisms.
-
-    Parameters
-    ----------
-    lattice_id : int, optional
-        Unique identifier for the lattice. If not specified, an identifier will
-        automatically be assigned.
-    name : str, optional
-        Name of the lattice. If not specified, the name is the empty string.
-
-    Attributes
-    ----------
-    id : int
-        Unique identifier for the lattice
-    name : str
-        Name of the lattice
-    num_rings : int
-        Number of radial ring positions in the xy-plane
-    num_axial : int
-        Number of positions along the z-axis.
-    center : array-like of float
-        Coordinates of the center of the lattice. If the lattice does not have
-        axial sections then only the x- and y-coordinates are specified
-
-    """
-
-    def __init__(self, lattice_id=None, name=''):
-        super(HexLattice, self).__init__(lattice_id, name)
-
-        # Initialize Lattice class attributes
-        self._num_rings = None
-        self._num_axial = None
-        self._center = None
-
-    def __eq__(self, other):
-        if not isinstance(other, HexLattice):
-            return False
-        elif not super(HexLattice, self).__eq__(other):
-            return False
-        elif self.num_rings != other.num_rings:
-            return False
-        elif self.num_axial != other.num_axial:
-            return False
-        elif self.center != other.center:
-            return False
-        else:
-            return True
-
-    def __ne__(self, other):
-        return not self == other
-
-    def __hash__(self):
-        return hash(repr(self))
-
-    def __repr__(self):
-        string = 'HexLattice\n'
-        string += '{0: <16}{1}{2}\n'.format('\tID', '=\t', self._id)
-        string += '{0: <16}{1}{2}\n'.format('\tName', '=\t', self._name)
-        string += '{0: <16}{1}{2}\n'.format('\t# Rings', '=\t', self._num_rings)
-        string += '{0: <16}{1}{2}\n'.format('\t# Axial', '=\t', self._num_axial)
-        string += '{0: <16}{1}{2}\n'.format('\tCenter', '=\t',
-                                            self._center)
-        string += '{0: <16}{1}{2}\n'.format('\tPitch', '=\t', self._pitch)
-
-        if self._outer is not None:
-            string += '{0: <16}{1}{2}\n'.format('\tOuter', '=\t',
-                                                self._outer._id)
-        else:
-            string += '{0: <16}{1}{2}\n'.format('\tOuter', '=\t',
-                                                self._outer)
-
-        string += '{0: <16}\n'.format('\tUniverses')
-
-        if self._num_axial is not None:
-            slices = [self._repr_axial_slice(x) for x in self._universes]
-            string += '\n'.join(slices)
-
-        else:
-            string += self._repr_axial_slice(self._universes)
-
-        return string
-
-    @property
-    def num_rings(self):
-        return self._num_rings
-
-    @property
-    def num_axial(self):
-        return self._num_axial
-
-    @property
-    def center(self):
-        return self._center
-
-    @num_rings.setter
-    def num_rings(self, num_rings):
-        cv.check_type('number of rings', num_rings, Integral)
-        cv.check_greater_than('number of rings', num_rings, 0)
-        self._num_rings = num_rings
-
-    @num_axial.setter
-    def num_axial(self, num_axial):
-        cv.check_type('number of axial', num_axial, Integral)
-        cv.check_greater_than('number of axial', num_axial, 0)
-        self._num_axial = num_axial
-
-    @center.setter
-    def center(self, center):
-        cv.check_type('lattice center', center, Iterable, Real)
-        cv.check_length('lattice center', center, 2, 3)
-        self._center = center
-
-    @Lattice.pitch.setter
-    def pitch(self, pitch):
-        cv.check_type('lattice pitch', pitch, Iterable, Real)
-        cv.check_length('lattice pitch', pitch, 1, 2)
-        for dim in pitch:
-            cv.check_greater_than('lattice pitch', dim, 0)
-        self._pitch = pitch
-
-    @Lattice.universes.setter
-    def universes(self, universes):
-        # Call Lattice.universes parent class setter property
-        Lattice.universes.fset(self, universes)
-
-        # NOTE: This routine assumes that the user creates a "ragged" list of
-        # lists, where each sub-list corresponds to one ring of Universes.
-        # The sub-lists are ordered from outermost ring to innermost ring.
-        # The Universes within each sub-list are ordered from the "top" in a
-        # clockwise fashion.
-
-        # Check to see if the given universes look like a 2D or a 3D array.
-        if isinstance(self._universes[0][0], Universe):
-            n_dims = 2
-
-        elif isinstance(self._universes[0][0][0], Universe):
-            n_dims = 3
-
-        else:
-            msg = 'HexLattice ID={0:d} does not appear to be either 2D or ' \
-                  '3D.  Make sure set_universes was given a two-deep or ' \
-                  'three-deep iterable of universes.'.format(self._id)
-            raise RuntimeError(msg)
-
-        # Set the number of axial positions.
-        if n_dims == 3:
-            self.num_axial = len(self._universes)
-        else:
-            self._num_axial = None
-
-        # Set the number of rings and make sure this number is consistent for
-        # all axial positions.
-        if n_dims == 3:
-            self.num_rings = len(self._universes)
-            for rings in self._universes:
-                if len(rings) != self._num_rings:
-                    msg = 'HexLattice ID={0:d} has an inconsistent number of ' \
-                          'rings per axial positon'.format(self._id)
-                    raise ValueError(msg)
-
-        else:
-            self.num_rings = len(self._universes)
-
-        # Make sure there are the correct number of elements in each ring.
-        if n_dims == 3:
-            for axial_slice in self._universes:
-                # Check the center ring.
-                if len(axial_slice[-1]) != 1:
-                    msg = 'HexLattice ID={0:d} has the wrong number of ' \
-                          'elements in the innermost ring.  Only 1 element is ' \
-                          'allowed in the innermost ring.'.format(self._id)
-                    raise ValueError(msg)
-
-                # Check the outer rings.
-                for r in range(self._num_rings-1):
-                    if len(axial_slice[r]) != 6*(self._num_rings - 1 - r):
-                        msg = 'HexLattice ID={0:d} has the wrong number of ' \
-                              'elements in ring number {1:d} (counting from the '\
-                              'outermost ring).  This ring should have {2:d} ' \
-                              'elements.'.format(self._id, r,
-                                                 6*(self._num_rings - 1 - r))
-                        raise ValueError(msg)
-
-        else:
-            axial_slice = self._universes
-            # Check the center ring.
-            if len(axial_slice[-1]) != 1:
-                msg = 'HexLattice ID={0:d} has the wrong number of ' \
-                      'elements in the innermost ring.  Only 1 element is ' \
-                      'allowed in the innermost ring.'.format(self._id)
-                raise ValueError(msg)
-
-            # Check the outer rings.
-            for r in range(self._num_rings-1):
-                if len(axial_slice[r]) != 6*(self._num_rings - 1 - r):
-                    msg = 'HexLattice ID={0:d} has the wrong number of ' \
-                          'elements in ring number {1:d} (counting from the '\
-                          'outermost ring).  This ring should have {2:d} ' \
-                          'elements.'.format(self._id, r,
-                                             6*(self._num_rings - 1 - r))
-                    raise ValueError(msg)
-
-    def create_xml_subelement(self, xml_element):
-        # Determine if XML element already contains subelement for this Lattice
-        path = './hex_lattice[@id=\'{0}\']'.format(self._id)
-        test = xml_element.find(path)
-
-        # If the element does contain the Lattice subelement, then return
-        if test is not None:
-            return
-
-        lattice_subelement = ET.Element("hex_lattice")
-        lattice_subelement.set("id", str(self._id))
-
-        if len(self._name) > 0:
-            lattice_subelement.set("name", str(self._name))
-
-        # Export the Lattice cell pitch
-        pitch = ET.SubElement(lattice_subelement, "pitch")
-        pitch.text = ' '.join(map(str, self._pitch))
-
-        # Export the Lattice outer Universe (if specified)
-        if self._outer is not None:
-            outer = ET.SubElement(lattice_subelement, "outer")
-            outer.text = '{0}'.format(self._outer._id)
-            self._outer.create_xml_subelement(xml_element)
-
-        lattice_subelement.set("n_rings", str(self._num_rings))
-
-        if self._num_axial is not None:
-            lattice_subelement.set("n_axial", str(self._num_axial))
-
-        # Export Lattice cell center
-        dimension = ET.SubElement(lattice_subelement, "center")
-        dimension.text = ' '.join(map(str, self._center))
-
-        # Export the Lattice nested Universe IDs.
-
-        # 3D Lattices
-        if self._num_axial is not None:
-            slices = []
-            for z in range(self._num_axial):
-                # Initialize the center universe.
-                universe = self._universes[z][-1][0]
-                universe.create_xml_subelement(xml_element)
-
-                # Initialize the remaining universes.
-                for r in range(self._num_rings-1):
-                    for theta in range(6*(self._num_rings - 1 - r)):
-                        universe = self._universes[z][r][theta]
-                        universe.create_xml_subelement(xml_element)
-
-                # Get a string representation of the universe IDs.
-                slices.append(self._repr_axial_slice(self._universes[z]))
-
-            # Collapse the list of axial slices into a single string.
-            universe_ids = '\n'.join(slices)
-
-        # 2D Lattices
-        else:
-            # Initialize the center universe.
-            universe = self._universes[-1][0]
-            universe.create_xml_subelement(xml_element)
-
-            # Initialize the remaining universes.
-            for r in range(self._num_rings - 1):
-                for theta in range(6*(self._num_rings - 1 - r)):
-                    universe = self._universes[r][theta]
-                    universe.create_xml_subelement(xml_element)
-
-            # Get a string representation of the universe IDs.
-            universe_ids = self._repr_axial_slice(self._universes)
-
-        universes = ET.SubElement(lattice_subelement, "universes")
-        universes.text = '\n' + universe_ids
-
-        # Append the XML subelement for this Lattice to the XML element
-        xml_element.append(lattice_subelement)
-
-    def _repr_axial_slice(self, universes):
-        """Return string representation for the given 2D group of universes.
-
-        The 'universes' argument should be a list of lists of universes where
-        each sub-list represents a single ring.  The first list should be the
-        outer ring.
-        """
-
-        # Find the largest universe ID and count the number of digits so we can
-        # properly pad the output string later.
-        largest_id = max([max([univ._id for univ in ring])
-                          for ring in universes])
-        n_digits = len(str(largest_id))
-        pad = ' '*n_digits
-        id_form = '{: ^' + str(n_digits) + 'd}'
-
-        # Initialize the list for each row.
-        rows = [ [] for i in range(1 + 4 * (self._num_rings-1)) ]
-        middle = 2 * (self._num_rings - 1)
-
-        # Start with the degenerate first ring.
-        universe = universes[-1][0]
-        rows[middle] = [id_form.format(universe._id)]
-
-        # Add universes one ring at a time.
-        for r in range(1, self._num_rings):
-            # r_prime increments down while r increments up.
-            r_prime = self._num_rings - 1 - r
-            theta = 0
-            y = middle + 2*r
-
-            # Climb down the top-right.
-            for i in range(r):
-                # Add the universe.
-                universe = universes[r_prime][theta]
-                rows[y].append(id_form.format(universe._id))
-
-                # Translate the indices.
-                y -= 1
-                theta += 1
-
-            # Climb down the right.
-            for i in range(r):
-                # Add the universe.
-                universe = universes[r_prime][theta]
-                rows[y].append(id_form.format(universe._id))
-
-                # Translate the indices.
-                y -= 2
-                theta += 1
-
-            # Climb down the bottom-right.
-            for i in range(r):
-                # Add the universe.
-                universe = universes[r_prime][theta]
-                rows[y].append(id_form.format(universe._id))
-
-                # Translate the indices.
-                y -= 1
-                theta += 1
-
-            # Climb up the bottom-left.
-            for i in range(r):
-                # Add the universe.
-                universe = universes[r_prime][theta]
-                rows[y].insert(0, id_form.format(universe._id))
-
-                # Translate the indices.
-                y += 1
-                theta += 1
-
-            # Climb up the left.
-            for i in range(r):
-                # Add the universe.
-                universe = universes[r_prime][theta]
-                rows[y].insert(0, id_form.format(universe._id))
-
-                # Translate the indices.
-                y += 2
-                theta += 1
-
-            # Climb up the top-left.
-            for i in range(r):
-                # Add the universe.
-                universe = universes[r_prime][theta]
-                rows[y].insert(0, id_form.format(universe._id))
-
-                # Translate the indices.
-                y += 1
-                theta += 1
-
-        # Flip the rows and join each row into a single string.
-        rows = [pad.join(x) for x in rows[::-1]]
-
-        # Pad the beginning of the rows so they line up properly.
-        for y in range(self._num_rings - 1):
-            rows[y] = (self._num_rings - 1 - y)*pad + rows[y]
-            rows[-1 - y] = (self._num_rings - 1 - y)*pad + rows[-1 - y]
-
-        for y in range(self._num_rings % 2, self._num_rings, 2):
-            rows[middle + y] = pad + rows[middle + y]
-            if y != 0:
-                rows[middle - y] = pad + rows[middle - y]
-
-        # Join the rows together and return the string.
-        universe_ids = '\n'.join(rows)
-        return universe_ids
diff --git a/readme.rst b/readme.rst
index ab13e36f5c..03964d9436 100644
--- a/readme.rst
+++ b/readme.rst
@@ -10,9 +10,9 @@ transport code based on modern methods. It is a constructive solid geometry,
 continuous-energy transport code that uses ACE format cross sections. The
 project started under the Computational Reactor Physics Group at MIT.
 
-Complete documentation on the usage of OpenMC is hosted on GitHub at
-http://mit-crpg.github.io/openmc/. If you are interested in the project or would
-like to help and contribute, please send a message to the OpenMC User's Group
+Complete documentation on the usage of OpenMC is hosted on Read the Docs at
+http://openmc.readthedocs.io. If you are interested in the project or would like
+to help and contribute, please send a message to the OpenMC User's Group
 `mailing list`_.
 
 ------------
@@ -49,7 +49,7 @@ License
 OpenMC is distributed under the MIT/X license_.
 
 .. _mailing list: https://groups.google.com/forum/?fromgroups=#!forum/openmc-users
-.. _installation instructions: http://mit-crpg.github.io/openmc/usersguide/install.html
-.. _Troubleshooting section: http://mit-crpg.github.io/openmc/usersguide/troubleshoot.html
+.. _installation instructions: http://openmc.readthedocs.io/en/latest/usersguide/install.html
+.. _Troubleshooting section: http://openmc.readthedocs.io/en/latest/usersguide/troubleshoot.html
 .. _Issues: https://github.com/mit-crpg/openmc/issues
-.. _license: http://mit-crpg.github.io/openmc/license.html
+.. _license: http://openmc.readthedocs.io/en/latest/license.html
diff --git a/setup.py b/setup.py
index 907d80e31b..393f40bd35 100644
--- a/setup.py
+++ b/setup.py
@@ -1,7 +1,6 @@
 #!/usr/bin/env python
 
 import glob
-import os
 try:
     from setuptools import setup
     have_setuptools = True
@@ -10,8 +9,9 @@ except ImportError:
     have_setuptools = False
 
 kwargs = {'name': 'openmc',
-          'version': '0.7.1',
-          'packages': ['openmc', 'openmc.mgxs'],
+          'version': '0.8.0',
+          'packages': ['openmc', 'openmc.data', 'openmc.mgxs', 'openmc.model',
+                       'openmc.stats'],
           'scripts': glob.glob('scripts/openmc-*'),
 
           # Metadata
@@ -32,11 +32,12 @@ kwargs = {'name': 'openmc',
 if have_setuptools:
     kwargs.update({
         # Required dependencies
-        'install_requires': ['numpy', 'h5py', 'matplotlib'],
+        'install_requires': ['numpy>=1.9', 'h5py', 'matplotlib'],
 
         # Optional dependencies
         'extras_require': {
-            'pandas': ['pandas'],
+            'pandas': ['pandas>=0.17.0'],
+            'sparse' : ['scipy'],
             'vtk': ['vtk', 'silomesh'],
             'validate': ['lxml']
         }})
diff --git a/src/Faddeeva.c b/src/Faddeeva.c
new file mode 100644
index 0000000000..78f5714efa
--- /dev/null
+++ b/src/Faddeeva.c
@@ -0,0 +1,3 @@
+/* The Faddeeva.cc file contains macros to let it compile as C code
+   (assuming C99 complex-number support), so just #include it. */
+#include "Faddeeva.cc"
diff --git a/src/Faddeeva.cc b/src/Faddeeva.cc
new file mode 100644
index 0000000000..80e42228c1
--- /dev/null
+++ b/src/Faddeeva.cc
@@ -0,0 +1,2516 @@
+//  -*- mode:c++; tab-width:2; indent-tabs-mode:nil;  -*-
+
+/* Copyright (c) 2012 Massachusetts Institute of Technology
+ * 
+ * Permission is hereby granted, free of charge, to any person obtaining
+ * a copy of this software and associated documentation files (the
+ * "Software"), to deal in the Software without restriction, including
+ * without limitation the rights to use, copy, modify, merge, publish,
+ * distribute, sublicense, and/or sell copies of the Software, and to
+ * permit persons to whom the Software is furnished to do so, subject to
+ * the following conditions:
+ * 
+ * The above copyright notice and this permission notice shall be
+ * included in all copies or substantial portions of the Software.
+ * 
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+ * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+ * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+ * NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+ * LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+ * OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+ * WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. 
+ */
+
+/* (Note that this file can be compiled with either C++, in which
+    case it uses C++ std::complex<double>, or C, in which case it
+    uses C99 double complex.) */
+
+/* Available at: http://ab-initio.mit.edu/Faddeeva
+
+   Computes various error functions (erf, erfc, erfi, erfcx), 
+   including the Dawson integral, in the complex plane, based
+   on algorithms for the computation of the Faddeeva function 
+              w(z) = exp(-z^2) * erfc(-i*z).
+   Given w(z), the error functions are mostly straightforward
+   to compute, except for certain regions where we have to
+   switch to Taylor expansions to avoid cancellation errors
+   [e.g. near the origin for erf(z)].
+
+   To compute the Faddeeva function, we use a combination of two
+   algorithms:
+
+   For sufficiently large |z|, we use a continued-fraction expansion
+   for w(z) similar to those described in:
+
+      Walter Gautschi, "Efficient computation of the complex error
+      function," SIAM J. Numer. Anal. 7(1), pp. 187-198 (1970)
+
+      G. P. M. Poppe and C. M. J. Wijers, "More efficient computation
+      of the complex error function," ACM Trans. Math. Soft. 16(1),
+      pp. 38-46 (1990).
+
+   Unlike those papers, however, we switch to a completely different
+   algorithm for smaller |z|:
+
+      Mofreh R. Zaghloul and Ahmed N. Ali, "Algorithm 916: Computing the
+      Faddeyeva and Voigt Functions," ACM Trans. Math. Soft. 38(2), 15
+      (2011).
+
+   (I initially used this algorithm for all z, but it turned out to be
+    significantly slower than the continued-fraction expansion for
+    larger |z|.  On the other hand, it is competitive for smaller |z|, 
+    and is significantly more accurate than the Poppe & Wijers code
+    in some regions, e.g. in the vicinity of z=1+1i.)
+
+   Note that this is an INDEPENDENT RE-IMPLEMENTATION of these algorithms,
+   based on the description in the papers ONLY.  In particular, I did
+   not refer to the authors' Fortran or Matlab implementations, respectively,
+   (which are under restrictive ACM copyright terms and therefore unusable
+    in free/open-source software).
+
+   Steven G. Johnson, Massachusetts Institute of Technology
+   http://math.mit.edu/~stevenj
+   October 2012.
+
+    -- Note that Algorithm 916 assumes that the erfc(x) function, 
+       or rather the scaled function erfcx(x) = exp(x*x)*erfc(x),
+       is supplied for REAL arguments x.   I originally used an
+       erfcx routine derived from DERFC in SLATEC, but I have
+       since replaced it with a much faster routine written by
+       me which uses a combination of continued-fraction expansions
+       and a lookup table of Chebyshev polynomials.  For speed,
+       I implemented a similar algorithm for Im[w(x)] of real x,
+       since this comes up frequently in the other error functions.
+
+   A small test program is included the end, which checks
+   the w(z) etc. results against several known values.  To compile
+   the test function, compile with -DTEST_FADDEEVA (that is,
+   #define TEST_FADDEEVA).
+
+   If HAVE_CONFIG_H is #defined (e.g. by compiling with -DHAVE_CONFIG_H),
+   then we #include "config.h", which is assumed to be a GNU autoconf-style
+   header defining HAVE_* macros to indicate the presence of features. In
+   particular, if HAVE_ISNAN and HAVE_ISINF are #defined, we use those
+   functions in math.h instead of defining our own, and if HAVE_ERF and/or
+   HAVE_ERFC are defined we use those functions from <cmath> for erf and
+   erfc of real arguments, respectively, instead of defining our own.
+
+   REVISION HISTORY:
+       4 October 2012: Initial public release (SGJ)
+       5 October 2012: Revised (SGJ) to fix spelling error,
+                       start summation for large x at round(x/a) (> 1)
+                       rather than ceil(x/a) as in the original
+                       paper, which should slightly improve performance
+                       (and, apparently, slightly improves accuracy)
+      19 October 2012: Revised (SGJ) to fix bugs for large x, large -y,
+                       and 15<x<26. Performance improvements. Prototype
+                       now supplies default value for relerr.
+      24 October 2012: Switch to continued-fraction expansion for
+                       sufficiently large z, for performance reasons.
+                       Also, avoid spurious overflow for |z| > 1e154.
+                       Set relerr argument to min(relerr,0.1).
+      27 October 2012: Enhance accuracy in Re[w(z)] taken by itself,
+                       by switching to Alg. 916 in a region near
+                       the real-z axis where continued fractions
+                       have poor relative accuracy in Re[w(z)].  Thanks
+                       to M. Zaghloul for the tip.
+      29 October 2012: Replace SLATEC-derived erfcx routine with
+                       completely rewritten code by me, using a very
+                       different algorithm which is much faster.
+      30 October 2012: Implemented special-case code for real z
+                       (where real part is exp(-x^2) and imag part is
+                        Dawson integral), using algorithm similar to erfx.
+                       Export ImFaddeeva_w function to make Dawson's
+                       integral directly accessible.
+      3 November 2012: Provide implementations of erf, erfc, erfcx,
+                       and Dawson functions in Faddeeva:: namespace,
+                       in addition to Faddeeva::w.  Provide header
+                       file Faddeeva.hh.
+      4 November 2012: Slightly faster erf for real arguments.
+                       Updated MATLAB and Octave plugins.
+     27 November 2012: Support compilation with either C++ or
+                       plain C (using C99 complex numbers).
+                       For real x, use standard-library erf(x)
+                       and erfc(x) if available (for C99 or C++11).
+                       #include "config.h" if HAVE_CONFIG_H is #defined.
+     15 December 2012: Portability fixes (copysign, Inf/NaN creation),
+                       use CMPLX/__builtin_complex if available in C,
+                       slight accuracy improvements to erf and dawson
+                       functions near the origin.  Use gnulib functions
+                       if GNULIB_NAMESPACE is defined.
+     18 December 2012: Slight tweaks (remove recomputation of x*x in Dawson)
+*/
+
+/////////////////////////////////////////////////////////////////////////
+/* If this file is compiled as a part of a larger project,
+   support using an autoconf-style config.h header file
+   (with various "HAVE_*" #defines to indicate features)
+   if HAVE_CONFIG_H is #defined (in GNU autotools style). */
+
+#ifdef HAVE_CONFIG_H
+#  include "config.h"
+#endif
+
+/////////////////////////////////////////////////////////////////////////
+// macros to allow us to use either C++ or C (with C99 features)
+
+#ifdef __cplusplus
+
+#  include "Faddeeva.hh"
+
+#  include <cfloat>
+#  include <cmath>
+#  include <limits>
+using namespace std;
+
+// use std::numeric_limits, since 1./0. and 0./0. fail with some compilers (MS)
+#  define Inf numeric_limits<double>::infinity()
+#  define NaN numeric_limits<double>::quiet_NaN()
+
+typedef complex<double> cmplx;
+
+// Use C-like complex syntax, since the C syntax is more restrictive
+#  define cexp(z) exp(z)
+#  define creal(z) real(z)
+#  define cimag(z) imag(z)
+#  define cpolar(r,t) polar(r,t)
+
+#  define C(a,b) cmplx(a,b)
+
+#  define FADDEEVA(name) Faddeeva::name
+#  define FADDEEVA_RE(name) Faddeeva::name
+
+// isnan/isinf were introduced in C++11
+#  if (__cplusplus < 201103L) && (!defined(HAVE_ISNAN) || !defined(HAVE_ISINF))
+static inline bool my_isnan(double x) { return x != x; }
+#    define isnan my_isnan
+static inline bool my_isinf(double x) { return 1/x == 0.; }
+#    define isinf my_isinf
+#  elif (__cplusplus >= 201103L)
+// g++ gets confused between the C and C++ isnan/isinf functions
+#    define isnan std::isnan
+#    define isinf std::isinf
+#  endif
+
+// copysign was introduced in C++11 (and is also in POSIX and C99)
+#  if defined(_WIN32) || defined(__WIN32__)
+#    define copysign _copysign // of course MS had to be different
+#  elif defined(GNULIB_NAMESPACE) // we are using using gnulib <cmath>
+#    define copysign GNULIB_NAMESPACE::copysign
+#  elif (__cplusplus < 201103L) && !defined(HAVE_COPYSIGN) && !defined(__linux__) && !(defined(__APPLE__) && defined(__MACH__)) && !defined(_AIX)
+static inline double my_copysign(double x, double y) { return y<0 ? -x : x; }
+#    define copysign my_copysign
+#  endif
+
+// If we are using the gnulib <cmath> (e.g. in the GNU Octave sources),
+// gnulib generates a link warning if we use ::floor instead of gnulib::floor.
+// This warning is completely innocuous because the only difference between
+// gnulib::floor and the system ::floor (and only on ancient OSF systems)
+// has to do with floor(-0), which doesn't occur in the usage below, but
+// the Octave developers prefer that we silence the warning.
+#  ifdef GNULIB_NAMESPACE
+#    define floor GNULIB_NAMESPACE::floor
+#  endif
+
+#else // !__cplusplus, i.e. pure C (requires C99 features)
+
+#  include "Faddeeva.h"
+
+#  define _GNU_SOURCE // enable GNU libc NAN extension if possible
+
+#  include <float.h>
+#  include <math.h>
+
+typedef double complex cmplx;
+
+#  define FADDEEVA(name) Faddeeva_ ## name
+#  define FADDEEVA_RE(name) Faddeeva_ ## name ## _re
+
+/* Constructing complex numbers like 0+i*NaN is problematic in C99
+   without the C11 CMPLX macro, because 0.+I*NAN may give NaN+i*NAN if
+   I is a complex (rather than imaginary) constant.  For some reason,
+   however, it works fine in (pre-4.7) gcc if I define Inf and NaN as
+   1/0 and 0/0 (and only if I compile with optimization -O1 or more),
+   but not if I use the INFINITY or NAN macros. */
+
+/* __builtin_complex was introduced in gcc 4.7, but the C11 CMPLX macro
+   may not be defined unless we are using a recent (2012) version of
+   glibc and compile with -std=c11... note that icc lies about being
+   gcc and probably doesn't have this builtin(?), so exclude icc explicitly */
+#  if !defined(CMPLX) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 7)) && !(defined(__ICC) || defined(__INTEL_COMPILER))
+#    define CMPLX(a,b) __builtin_complex((double) (a), (double) (b))
+#  endif
+
+#  ifdef CMPLX // C11
+#    define C(a,b) CMPLX(a,b)
+#    define Inf INFINITY // C99 infinity
+#    ifdef NAN // GNU libc extension
+#      define NaN NAN
+#    else
+#      define NaN (0./0.) // NaN
+#    endif
+#  else
+#    define C(a,b) ((a) + I*(b))
+#    define Inf (1./0.) 
+#    define NaN (0./0.) 
+#  endif
+
+static inline cmplx cpolar(double r, double t)
+{
+  if (r == 0.0 && !isnan(t))
+    return 0.0;
+  else
+    return C(r * cos(t), r * sin(t));
+}
+
+#endif // !__cplusplus, i.e. pure C (requires C99 features)
+
+/////////////////////////////////////////////////////////////////////////
+// Auxiliary routines to compute other special functions based on w(z)
+
+// compute erfcx(z) = exp(z^2) erfz(z)
+cmplx FADDEEVA(erfcx)(cmplx z, double relerr)
+{
+  return FADDEEVA(w)(C(-cimag(z), creal(z)), relerr);
+}
+
+// compute the error function erf(x)
+double FADDEEVA_RE(erf)(double x)
+{
+#if !defined(__cplusplus)
+  return erf(x); // C99 supplies erf in math.h
+#elif (__cplusplus >= 201103L) || defined(HAVE_ERF)
+  return ::erf(x); // C++11 supplies std::erf in cmath
+#else
+  double mx2 = -x*x;
+  if (mx2 < -750) // underflow
+    return (x >= 0 ? 1.0 : -1.0);
+
+  if (x >= 0) {
+    if (x < 8e-2) goto taylor;
+    return 1.0 - exp(mx2) * FADDEEVA_RE(erfcx)(x);
+  }
+  else { // x < 0
+    if (x > -8e-2) goto taylor;
+    return exp(mx2) * FADDEEVA_RE(erfcx)(-x) - 1.0;
+  }
+
+  // Use Taylor series for small |x|, to avoid cancellation inaccuracy
+  //   erf(x) = 2/sqrt(pi) * x * (1 - x^2/3 + x^4/10 - x^6/42 + x^8/216 + ...)
+ taylor:
+  return x * (1.1283791670955125739
+              + mx2 * (0.37612638903183752464
+                       + mx2 * (0.11283791670955125739
+                                + mx2 * (0.026866170645131251760
+                                         + mx2 * 0.0052239776254421878422))));
+#endif
+}
+
+// compute the error function erf(z)
+cmplx FADDEEVA(erf)(cmplx z, double relerr)
+{
+  double x = creal(z), y = cimag(z);
+
+  if (y == 0)
+    return C(FADDEEVA_RE(erf)(x),
+             y); // preserve sign of 0
+  if (x == 0) // handle separately for speed & handling of y = Inf or NaN
+    return C(x, // preserve sign of 0
+             /* handle y -> Inf limit manually, since
+                exp(y^2) -> Inf but Im[w(y)] -> 0, so
+                IEEE will give us a NaN when it should be Inf */
+             y*y > 720 ? (y > 0 ? Inf : -Inf)
+             : exp(y*y) * FADDEEVA(w_im)(y));
+  
+  double mRe_z2 = (y - x) * (x + y); // Re(-z^2), being careful of overflow
+  double mIm_z2 = -2*x*y; // Im(-z^2)
+  if (mRe_z2 < -750) // underflow
+    return (x >= 0 ? 1.0 : -1.0);
+
+  /* Handle positive and negative x via different formulas,
+     using the mirror symmetries of w, to avoid overflow/underflow
+     problems from multiplying exponentially large and small quantities. */
+  if (x >= 0) {
+    if (x < 8e-2) {
+      if (fabs(y) < 1e-2)
+        goto taylor;
+      else if (fabs(mIm_z2) < 5e-3 && x < 5e-3)
+        goto taylor_erfi;
+    }
+    /* don't use complex exp function, since that will produce spurious NaN
+       values when multiplying w in an overflow situation. */
+    return 1.0 - exp(mRe_z2) *
+      (C(cos(mIm_z2), sin(mIm_z2))
+       * FADDEEVA(w)(C(-y,x), relerr));
+  }
+  else { // x < 0
+    if (x > -8e-2) { // duplicate from above to avoid fabs(x) call
+      if (fabs(y) < 1e-2)
+        goto taylor;
+      else if (fabs(mIm_z2) < 5e-3 && x > -5e-3)
+        goto taylor_erfi;
+    }
+    else if (isnan(x))
+      return C(NaN, y == 0 ? 0 : NaN);
+    /* don't use complex exp function, since that will produce spurious NaN
+       values when multiplying w in an overflow situation. */
+    return exp(mRe_z2) *
+      (C(cos(mIm_z2), sin(mIm_z2))
+       * FADDEEVA(w)(C(y,-x), relerr)) - 1.0;
+  }
+
+  // Use Taylor series for small |z|, to avoid cancellation inaccuracy
+  //   erf(z) = 2/sqrt(pi) * z * (1 - z^2/3 + z^4/10 - z^6/42 + z^8/216 + ...)
+ taylor:
+  {
+    cmplx mz2 = C(mRe_z2, mIm_z2); // -z^2
+    return z * (1.1283791670955125739
+                + mz2 * (0.37612638903183752464
+                         + mz2 * (0.11283791670955125739
+                                  + mz2 * (0.026866170645131251760
+                                          + mz2 * 0.0052239776254421878422))));
+  }
+
+  /* for small |x| and small |xy|, 
+     use Taylor series to avoid cancellation inaccuracy:
+       erf(x+iy) = erf(iy)
+          + 2*exp(y^2)/sqrt(pi) *
+            [ x * (1 - x^2 * (1+2y^2)/3 + x^4 * (3+12y^2+4y^4)/30 + ... 
+              - i * x^2 * y * (1 - x^2 * (3+2y^2)/6 + ...) ]
+     where:
+        erf(iy) = exp(y^2) * Im[w(y)]
+  */
+ taylor_erfi:
+  {
+    double x2 = x*x, y2 = y*y;
+    double expy2 = exp(y2);
+    return C
+      (expy2 * x * (1.1283791670955125739
+                    - x2 * (0.37612638903183752464
+                            + 0.75225277806367504925*y2)
+                    + x2*x2 * (0.11283791670955125739
+                               + y2 * (0.45135166683820502956
+                                       + 0.15045055561273500986*y2))),
+       expy2 * (FADDEEVA(w_im)(y)
+                - x2*y * (1.1283791670955125739 
+                          - x2 * (0.56418958354775628695 
+                                  + 0.37612638903183752464*y2))));
+  }
+}
+
+// erfi(z) = -i erf(iz)
+cmplx FADDEEVA(erfi)(cmplx z, double relerr)
+{
+  cmplx e = FADDEEVA(erf)(C(-cimag(z),creal(z)), relerr);
+  return C(cimag(e), -creal(e));
+}
+
+// erfi(x) = -i erf(ix)
+double FADDEEVA_RE(erfi)(double x)
+{
+  return x*x > 720 ? (x > 0 ? Inf : -Inf)
+    : exp(x*x) * FADDEEVA(w_im)(x);
+}
+
+// erfc(x) = 1 - erf(x)
+double FADDEEVA_RE(erfc)(double x)
+{
+#if !defined(__cplusplus)
+  return erfc(x); // C99 supplies erfc in math.h
+#elif (__cplusplus >= 201103L) || defined(HAVE_ERFC)
+  return ::erfc(x); // C++11 supplies std::erfc in cmath
+#else
+  if (x*x > 750) // underflow
+    return (x >= 0 ? 0.0 : 2.0);
+  return x >= 0 ? exp(-x*x) * FADDEEVA_RE(erfcx)(x) 
+    : 2. - exp(-x*x) * FADDEEVA_RE(erfcx)(-x);
+#endif
+}
+
+// erfc(z) = 1 - erf(z)
+cmplx FADDEEVA(erfc)(cmplx z, double relerr)
+{
+  double x = creal(z), y = cimag(z);
+
+  if (x == 0.)
+    return C(1,
+             /* handle y -> Inf limit manually, since
+                exp(y^2) -> Inf but Im[w(y)] -> 0, so
+                IEEE will give us a NaN when it should be Inf */
+             y*y > 720 ? (y > 0 ? -Inf : Inf)
+             : -exp(y*y) * FADDEEVA(w_im)(y));
+  if (y == 0.) {
+    if (x*x > 750) // underflow
+      return C(x >= 0 ? 0.0 : 2.0,
+               -y); // preserve sign of 0
+    return C(x >= 0 ? exp(-x*x) * FADDEEVA_RE(erfcx)(x) 
+             : 2. - exp(-x*x) * FADDEEVA_RE(erfcx)(-x),
+             -y); // preserve sign of zero
+  }
+
+  double mRe_z2 = (y - x) * (x + y); // Re(-z^2), being careful of overflow
+  double mIm_z2 = -2*x*y; // Im(-z^2)
+  if (mRe_z2 < -750) // underflow
+    return (x >= 0 ? 0.0 : 2.0);
+
+  if (x >= 0)
+    return cexp(C(mRe_z2, mIm_z2))
+      * FADDEEVA(w)(C(-y,x), relerr);
+  else
+    return 2.0 - cexp(C(mRe_z2, mIm_z2))
+      * FADDEEVA(w)(C(y,-x), relerr);
+}
+
+// compute Dawson(x) = sqrt(pi)/2  *  exp(-x^2) * erfi(x)
+double FADDEEVA_RE(Dawson)(double x)
+{
+  const double spi2 = 0.8862269254527580136490837416705725913990; // sqrt(pi)/2
+  return spi2 * FADDEEVA(w_im)(x);
+}
+
+// compute Dawson(z) = sqrt(pi)/2  *  exp(-z^2) * erfi(z)
+cmplx FADDEEVA(Dawson)(cmplx z, double relerr)
+{
+  const double spi2 = 0.8862269254527580136490837416705725913990; // sqrt(pi)/2
+  double x = creal(z), y = cimag(z);
+
+  // handle axes separately for speed & proper handling of x or y = Inf or NaN
+  if (y == 0)
+    return C(spi2 * FADDEEVA(w_im)(x),
+             -y); // preserve sign of 0
+  if (x == 0) {
+    double y2 = y*y;
+    if (y2 < 2.5e-5) { // Taylor expansion
+      return C(x, // preserve sign of 0
+               y * (1.
+                    + y2 * (0.6666666666666666666666666666666666666667
+                            + y2 * 0.26666666666666666666666666666666666667)));
+    }
+    return C(x, // preserve sign of 0
+             spi2 * (y >= 0 
+                     ? exp(y2) - FADDEEVA_RE(erfcx)(y)
+                     : FADDEEVA_RE(erfcx)(-y) - exp(y2)));
+  }
+
+  double mRe_z2 = (y - x) * (x + y); // Re(-z^2), being careful of overflow
+  double mIm_z2 = -2*x*y; // Im(-z^2)
+  cmplx mz2 = C(mRe_z2, mIm_z2); // -z^2
+
+  /* Handle positive and negative x via different formulas,
+     using the mirror symmetries of w, to avoid overflow/underflow
+     problems from multiplying exponentially large and small quantities. */
+  if (y >= 0) {
+    if (y < 5e-3) {
+      if (fabs(x) < 5e-3)
+        goto taylor;
+      else if (fabs(mIm_z2) < 5e-3)
+        goto taylor_realaxis;
+    }
+    cmplx res = cexp(mz2) - FADDEEVA(w)(z, relerr);
+    return spi2 * C(-cimag(res), creal(res));
+  }
+  else { // y < 0
+    if (y > -5e-3) { // duplicate from above to avoid fabs(x) call
+      if (fabs(x) < 5e-3)
+        goto taylor;
+      else if (fabs(mIm_z2) < 5e-3)
+        goto taylor_realaxis;
+    }
+    else if (isnan(y))
+      return C(x == 0 ? 0 : NaN, NaN);
+    cmplx res = FADDEEVA(w)(-z, relerr) - cexp(mz2);
+    return spi2 * C(-cimag(res), creal(res));
+  }
+
+  // Use Taylor series for small |z|, to avoid cancellation inaccuracy
+  //     dawson(z) = z - 2/3 z^3 + 4/15 z^5 + ...
+ taylor:
+  return z * (1.
+              + mz2 * (0.6666666666666666666666666666666666666667
+                       + mz2 * 0.2666666666666666666666666666666666666667));
+
+  /* for small |y| and small |xy|, 
+     use Taylor series to avoid cancellation inaccuracy:
+       dawson(x + iy)
+        = D + y^2 (D + x - 2Dx^2)
+            + y^4 (D/2 + 5x/6 - 2Dx^2 - x^3/3 + 2Dx^4/3)
+        + iy [ (1-2Dx) + 2/3 y^2 (1 - 3Dx - x^2 + 2Dx^3)
+              + y^4/15 (4 - 15Dx - 9x^2 + 20Dx^3 + 2x^4 - 4Dx^5) ] + ...
+     where D = dawson(x) 
+
+     However, for large |x|, 2Dx -> 1 which gives cancellation problems in
+     this series (many of the leading terms cancel).  So, for large |x|,
+     we need to substitute a continued-fraction expansion for D.
+
+        dawson(x) = 0.5 / (x-0.5/(x-1/(x-1.5/(x-2/(x-2.5/(x...))))))
+
+     The 6 terms shown here seems to be the minimum needed to be
+     accurate as soon as the simpler Taylor expansion above starts
+     breaking down.  Using this 6-term expansion, factoring out the
+     denominator, and simplifying with Maple, we obtain:
+
+      Re dawson(x + iy) * (-15 + 90x^2 - 60x^4 + 8x^6) / x
+        = 33 - 28x^2 + 4x^4 + y^2 (18 - 4x^2) + 4 y^4
+      Im dawson(x + iy) * (-15 + 90x^2 - 60x^4 + 8x^6) / y
+        = -15 + 24x^2 - 4x^4 + 2/3 y^2 (6x^2 - 15) - 4 y^4
+
+     Finally, for |x| > 5e7, we can use a simpler 1-term continued-fraction
+     expansion for the real part, and a 2-term expansion for the imaginary
+     part.  (This avoids overflow problems for huge |x|.)  This yields:
+     
+     Re dawson(x + iy) = [1 + y^2 (1 + y^2/2 - (xy)^2/3)] / (2x)
+     Im dawson(x + iy) = y [ -1 - 2/3 y^2 + y^4/15 (2x^2 - 4) ] / (2x^2 - 1)
+
+ */
+ taylor_realaxis:
+  {
+    double x2 = x*x;
+    if (x2 > 1600) { // |x| > 40
+      double y2 = y*y;
+      if (x2 > 25e14) {// |x| > 5e7
+        double xy2 = (x*y)*(x*y);
+        return C((0.5 + y2 * (0.5 + 0.25*y2
+                              - 0.16666666666666666667*xy2)) / x,
+                 y * (-1 + y2 * (-0.66666666666666666667
+                                 + 0.13333333333333333333*xy2
+                                 - 0.26666666666666666667*y2))
+                 / (2*x2 - 1));
+      }
+      return (1. / (-15 + x2*(90 + x2*(-60 + 8*x2)))) *
+        C(x * (33 + x2 * (-28 + 4*x2)
+               + y2 * (18 - 4*x2 + 4*y2)),
+          y * (-15 + x2 * (24 - 4*x2)
+               + y2 * (4*x2 - 10 - 4*y2)));
+    }
+    else {
+      double D = spi2 * FADDEEVA(w_im)(x);
+      double y2 = y*y;
+      return C
+        (D + y2 * (D + x - 2*D*x2)
+         + y2*y2 * (D * (0.5 - x2 * (2 - 0.66666666666666666667*x2))
+                    + x * (0.83333333333333333333
+                           - 0.33333333333333333333 * x2)),
+         y * (1 - 2*D*x
+              + y2 * 0.66666666666666666667 * (1 - x2 - D*x * (3 - 2*x2))
+              + y2*y2 * (0.26666666666666666667 -
+                         x2 * (0.6 - 0.13333333333333333333 * x2)
+                         - D*x * (1 - x2 * (1.3333333333333333333
+                                            - 0.26666666666666666667 * x2)))));
+    }
+  }
+}
+
+/////////////////////////////////////////////////////////////////////////
+
+// return sinc(x) = sin(x)/x, given both x and sin(x) 
+// [since we only use this in cases where sin(x) has already been computed]
+static inline double sinc(double x, double sinx) { 
+  return fabs(x) < 1e-4 ? 1 - (0.1666666666666666666667)*x*x : sinx / x; 
+}
+
+// sinh(x) via Taylor series, accurate to machine precision for |x| < 1e-2
+static inline double sinh_taylor(double x) {
+  return x * (1 + (x*x) * (0.1666666666666666666667
+                           + 0.00833333333333333333333 * (x*x)));
+}
+
+static inline double sqr(double x) { return x*x; }
+
+// precomputed table of expa2n2[n-1] = exp(-a2*n*n)
+// for double-precision a2 = 0.26865... in FADDEEVA(w), below.
+static const double expa2n2[] = {
+  7.64405281671221563e-01,
+  3.41424527166548425e-01,
+  8.91072646929412548e-02,
+  1.35887299055460086e-02,
+  1.21085455253437481e-03,
+  6.30452613933449404e-05,
+  1.91805156577114683e-06,
+  3.40969447714832381e-08,
+  3.54175089099469393e-10,
+  2.14965079583260682e-12,
+  7.62368911833724354e-15,
+  1.57982797110681093e-17,
+  1.91294189103582677e-20,
+  1.35344656764205340e-23,
+  5.59535712428588720e-27,
+  1.35164257972401769e-30,
+  1.90784582843501167e-34,
+  1.57351920291442930e-38,
+  7.58312432328032845e-43,
+  2.13536275438697082e-47,
+  3.51352063787195769e-52,
+  3.37800830266396920e-57,
+  1.89769439468301000e-62,
+  6.22929926072668851e-68,
+  1.19481172006938722e-73,
+  1.33908181133005953e-79,
+  8.76924303483223939e-86,
+  3.35555576166254986e-92,
+  7.50264110688173024e-99,
+  9.80192200745410268e-106,
+  7.48265412822268959e-113,
+  3.33770122566809425e-120,
+  8.69934598159861140e-128,
+  1.32486951484088852e-135,
+  1.17898144201315253e-143,
+  6.13039120236180012e-152,
+  1.86258785950822098e-160,
+  3.30668408201432783e-169,
+  3.43017280887946235e-178,
+  2.07915397775808219e-187,
+  7.36384545323984966e-197,
+  1.52394760394085741e-206,
+  1.84281935046532100e-216,
+  1.30209553802992923e-226,
+  5.37588903521080531e-237,
+  1.29689584599763145e-247,
+  1.82813078022866562e-258,
+  1.50576355348684241e-269,
+  7.24692320799294194e-281,
+  2.03797051314726829e-292,
+  3.34880215927873807e-304,
+  0.0 // underflow (also prevents reads past array end, below)
+};
+
+/////////////////////////////////////////////////////////////////////////
+
+cmplx FADDEEVA(w)(cmplx z, double relerr)
+{
+  if (creal(z) == 0.0)
+    return C(FADDEEVA_RE(erfcx)(cimag(z)), 
+             creal(z)); // give correct sign of 0 in cimag(w)
+  else if (cimag(z) == 0)
+    return C(exp(-sqr(creal(z))),
+             FADDEEVA(w_im)(creal(z)));
+
+  double a, a2, c;
+  if (relerr <= DBL_EPSILON) {
+    relerr = DBL_EPSILON;
+    a = 0.518321480430085929872; // pi / sqrt(-log(eps*0.5))
+    c = 0.329973702884629072537; // (2/pi) * a;
+    a2 = 0.268657157075235951582; // a^2
+  }
+  else {
+    const double pi = 3.14159265358979323846264338327950288419716939937510582;
+    if (relerr > 0.1) relerr = 0.1; // not sensible to compute < 1 digit
+    a = pi / sqrt(-log(relerr*0.5));
+    c = (2/pi)*a;
+    a2 = a*a;
+  }
+  const double x = fabs(creal(z));
+  const double y = cimag(z), ya = fabs(y);
+
+  cmplx ret = 0.; // return value
+
+  double sum1 = 0, sum2 = 0, sum3 = 0, sum4 = 0, sum5 = 0;
+
+#define USE_CONTINUED_FRACTION 1 // 1 to use continued fraction for large |z|
+
+#if USE_CONTINUED_FRACTION
+  if (ya > 7 || (x > 6  // continued fraction is faster
+                 /* As pointed out by M. Zaghloul, the continued
+                    fraction seems to give a large relative error in
+                    Re w(z) for |x| ~ 6 and small |y|, so use
+                    algorithm 816 in this region: */
+                 && (ya > 0.1 || (x > 8 && ya > 1e-10) || x > 28))) {
+    
+    /* Poppe & Wijers suggest using a number of terms
+           nu = 3 + 1442 / (26*rho + 77)
+       where rho = sqrt((x/x0)^2 + (y/y0)^2) where x0=6.3, y0=4.4.
+       (They only use this expansion for rho >= 1, but rho a little less
+        than 1 seems okay too.)
+       Instead, I did my own fit to a slightly different function
+       that avoids the hypotenuse calculation, using NLopt to minimize
+       the sum of the squares of the errors in nu with the constraint
+       that the estimated nu be >= minimum nu to attain machine precision.
+       I also separate the regions where nu == 2 and nu == 1. */
+    const double ispi = 0.56418958354775628694807945156; // 1 / sqrt(pi)
+    double xs = y < 0 ? -creal(z) : creal(z); // compute for -z if y < 0
+    if (x + ya > 4000) { // nu <= 2
+      if (x + ya > 1e7) { // nu == 1, w(z) = i/sqrt(pi) / z
+        // scale to avoid overflow
+        if (x > ya) {
+          double yax = ya / xs; 
+          double denom = ispi / (xs + yax*ya);
+          ret = C(denom*yax, denom);
+        }
+        else if (isinf(ya))
+          return ((isnan(x) || y < 0) 
+                  ? C(NaN,NaN) : C(0,0));
+        else {
+          double xya = xs / ya;
+          double denom = ispi / (xya*xs + ya);
+          ret = C(denom, denom*xya);
+        }
+      }
+      else { // nu == 2, w(z) = i/sqrt(pi) * z / (z*z - 0.5)
+        double dr = xs*xs - ya*ya - 0.5, di = 2*xs*ya;
+        double denom = ispi / (dr*dr + di*di);
+        ret = C(denom * (xs*di-ya*dr), denom * (xs*dr+ya*di));
+      }
+    }
+    else { // compute nu(z) estimate and do general continued fraction
+      const double c0=3.9, c1=11.398, c2=0.08254, c3=0.1421, c4=0.2023; // fit
+      double nu = floor(c0 + c1 / (c2*x + c3*ya + c4));
+      double wr = xs, wi = ya;
+      for (nu = 0.5 * (nu - 1); nu > 0.4; nu -= 0.5) {
+        // w <- z - nu/w:
+        double denom = nu / (wr*wr + wi*wi);
+        wr = xs - wr * denom;
+        wi = ya + wi * denom;
+      }
+      { // w(z) = i/sqrt(pi) / w:
+        double denom = ispi / (wr*wr + wi*wi);
+        ret = C(denom*wi, denom*wr);
+      }
+    }
+    if (y < 0) {
+      // use w(z) = 2.0*exp(-z*z) - w(-z), 
+      // but be careful of overflow in exp(-z*z) 
+      //                                = exp(-(xs*xs-ya*ya) -2*i*xs*ya) 
+      return 2.0*cexp(C((ya-xs)*(xs+ya), 2*xs*y)) - ret;
+    }
+    else
+      return ret;
+  }
+#else // !USE_CONTINUED_FRACTION
+  if (x + ya > 1e7) { // w(z) = i/sqrt(pi) / z, to machine precision
+    const double ispi = 0.56418958354775628694807945156; // 1 / sqrt(pi)
+    double xs = y < 0 ? -creal(z) : creal(z); // compute for -z if y < 0
+    // scale to avoid overflow
+    if (x > ya) {
+      double yax = ya / xs; 
+      double denom = ispi / (xs + yax*ya);
+      ret = C(denom*yax, denom);
+    }
+    else {
+      double xya = xs / ya;
+      double denom = ispi / (xya*xs + ya);
+      ret = C(denom, denom*xya);
+    }
+    if (y < 0) {
+      // use w(z) = 2.0*exp(-z*z) - w(-z), 
+      // but be careful of overflow in exp(-z*z) 
+      //                                = exp(-(xs*xs-ya*ya) -2*i*xs*ya) 
+      return 2.0*cexp(C((ya-xs)*(xs+ya), 2*xs*y)) - ret;
+    }
+    else
+      return ret;
+  }
+#endif // !USE_CONTINUED_FRACTION 
+
+  /* Note: The test that seems to be suggested in the paper is x <
+     sqrt(-log(DBL_MIN)), about 26.6, since otherwise exp(-x^2)
+     underflows to zero and sum1,sum2,sum4 are zero.  However, long
+     before this occurs, the sum1,sum2,sum4 contributions are
+     negligible in double precision; I find that this happens for x >
+     about 6, for all y.  On the other hand, I find that the case
+     where we compute all of the sums is faster (at least with the
+     precomputed expa2n2 table) until about x=10.  Furthermore, if we
+     try to compute all of the sums for x > 20, I find that we
+     sometimes run into numerical problems because underflow/overflow
+     problems start to appear in the various coefficients of the sums,
+     below.  Therefore, we use x < 10 here. */
+  else if (x < 10) {
+    double prod2ax = 1, prodm2ax = 1;
+    double expx2;
+
+    if (isnan(y))
+      return C(y,y);
+    
+    /* Somewhat ugly copy-and-paste duplication here, but I see significant
+       speedups from using the special-case code with the precomputed
+       exponential, and the x < 5e-4 special case is needed for accuracy. */
+
+    if (relerr == DBL_EPSILON) { // use precomputed exp(-a2*(n*n)) table
+      if (x < 5e-4) { // compute sum4 and sum5 together as sum5-sum4
+        const double x2 = x*x;
+        expx2 = 1 - x2 * (1 - 0.5*x2); // exp(-x*x) via Taylor
+        // compute exp(2*a*x) and exp(-2*a*x) via Taylor, to double precision
+        const double ax2 = 1.036642960860171859744*x; // 2*a*x
+        const double exp2ax =
+          1 + ax2 * (1 + ax2 * (0.5 + 0.166666666666666666667*ax2));
+        const double expm2ax =
+          1 - ax2 * (1 - ax2 * (0.5 - 0.166666666666666666667*ax2));
+        for (int n = 1; 1; ++n) {
+          const double coef = expa2n2[n-1] * expx2 / (a2*(n*n) + y*y);
+          prod2ax *= exp2ax;
+          prodm2ax *= expm2ax;
+          sum1 += coef;
+          sum2 += coef * prodm2ax;
+          sum3 += coef * prod2ax;
+          
+          // really = sum5 - sum4
+          sum5 += coef * (2*a) * n * sinh_taylor((2*a)*n*x);
+          
+          // test convergence via sum3
+          if (coef * prod2ax < relerr * sum3) break;
+        }
+      }
+      else { // x > 5e-4, compute sum4 and sum5 separately
+        expx2 = exp(-x*x);
+        const double exp2ax = exp((2*a)*x), expm2ax = 1 / exp2ax;
+        for (int n = 1; 1; ++n) {
+          const double coef = expa2n2[n-1] * expx2 / (a2*(n*n) + y*y);
+          prod2ax *= exp2ax;
+          prodm2ax *= expm2ax;
+          sum1 += coef;
+          sum2 += coef * prodm2ax;
+          sum4 += (coef * prodm2ax) * (a*n);
+          sum3 += coef * prod2ax;
+          sum5 += (coef * prod2ax) * (a*n);
+          // test convergence via sum5, since this sum has the slowest decay
+          if ((coef * prod2ax) * (a*n) < relerr * sum5) break;
+        }
+      }
+    }
+    else { // relerr != DBL_EPSILON, compute exp(-a2*(n*n)) on the fly
+      const double exp2ax = exp((2*a)*x), expm2ax = 1 / exp2ax;
+      if (x < 5e-4) { // compute sum4 and sum5 together as sum5-sum4
+        const double x2 = x*x;
+        expx2 = 1 - x2 * (1 - 0.5*x2); // exp(-x*x) via Taylor
+        for (int n = 1; 1; ++n) {
+          const double coef = exp(-a2*(n*n)) * expx2 / (a2*(n*n) + y*y);
+          prod2ax *= exp2ax;
+          prodm2ax *= expm2ax;
+          sum1 += coef;
+          sum2 += coef * prodm2ax;
+          sum3 += coef * prod2ax;
+          
+          // really = sum5 - sum4
+          sum5 += coef * (2*a) * n * sinh_taylor((2*a)*n*x);
+          
+          // test convergence via sum3
+          if (coef * prod2ax < relerr * sum3) break;
+        }
+      }
+      else { // x > 5e-4, compute sum4 and sum5 separately
+        expx2 = exp(-x*x);
+        for (int n = 1; 1; ++n) {
+          const double coef = exp(-a2*(n*n)) * expx2 / (a2*(n*n) + y*y);
+          prod2ax *= exp2ax;
+          prodm2ax *= expm2ax;
+          sum1 += coef;
+          sum2 += coef * prodm2ax;
+          sum4 += (coef * prodm2ax) * (a*n);
+          sum3 += coef * prod2ax;
+          sum5 += (coef * prod2ax) * (a*n);
+          // test convergence via sum5, since this sum has the slowest decay
+          if ((coef * prod2ax) * (a*n) < relerr * sum5) break;
+        }
+      }
+    }
+    const double expx2erfcxy = // avoid spurious overflow for large negative y
+      y > -6 // for y < -6, erfcx(y) = 2*exp(y*y) to double precision
+      ? expx2*FADDEEVA_RE(erfcx)(y) : 2*exp(y*y-x*x);
+    if (y > 5) { // imaginary terms cancel
+      const double sinxy = sin(x*y);
+      ret = (expx2erfcxy - c*y*sum1) * cos(2*x*y)
+        + (c*x*expx2) * sinxy * sinc(x*y, sinxy);
+    }
+    else {
+      double xs = creal(z);
+      const double sinxy = sin(xs*y);
+      const double sin2xy = sin(2*xs*y), cos2xy = cos(2*xs*y);
+      const double coef1 = expx2erfcxy - c*y*sum1;
+      const double coef2 = c*xs*expx2;
+      ret = C(coef1 * cos2xy + coef2 * sinxy * sinc(xs*y, sinxy),
+              coef2 * sinc(2*xs*y, sin2xy) - coef1 * sin2xy);
+    }
+  }
+  else { // x large: only sum3 & sum5 contribute (see above note)    
+    if (isnan(x))
+      return C(x,x);
+    if (isnan(y))
+      return C(y,y);
+
+#if USE_CONTINUED_FRACTION
+    ret = exp(-x*x); // |y| < 1e-10, so we only need exp(-x*x) term
+#else
+    if (y < 0) {
+      /* erfcx(y) ~ 2*exp(y*y) + (< 1) if y < 0, so
+         erfcx(y)*exp(-x*x) ~ 2*exp(y*y-x*x) term may not be negligible
+         if y*y - x*x > -36 or so.  So, compute this term just in case.
+         We also need the -exp(-x*x) term to compute Re[w] accurately
+         in the case where y is very small. */
+      ret = cpolar(2*exp(y*y-x*x) - exp(-x*x), -2*creal(z)*y);
+    }
+    else
+      ret = exp(-x*x); // not negligible in real part if y very small
+#endif
+    // (round instead of ceil as in original paper; note that x/a > 1 here)
+    double n0 = floor(x/a + 0.5); // sum in both directions, starting at n0
+    double dx = a*n0 - x;
+    sum3 = exp(-dx*dx) / (a2*(n0*n0) + y*y);
+    sum5 = a*n0 * sum3;
+    double exp1 = exp(4*a*dx), exp1dn = 1;
+    int dn;
+    for (dn = 1; n0 - dn > 0; ++dn) { // loop over n0-dn and n0+dn terms
+      double np = n0 + dn, nm = n0 - dn;
+      double tp = exp(-sqr(a*dn+dx));
+      double tm = tp * (exp1dn *= exp1); // trick to get tm from tp
+      tp /= (a2*(np*np) + y*y);
+      tm /= (a2*(nm*nm) + y*y);
+      sum3 += tp + tm;
+      sum5 += a * (np * tp + nm * tm);
+      if (a * (np * tp + nm * tm) < relerr * sum5) goto finish;
+    }
+    while (1) { // loop over n0+dn terms only (since n0-dn <= 0)
+      double np = n0 + dn++;
+      double tp = exp(-sqr(a*dn+dx)) / (a2*(np*np) + y*y);
+      sum3 += tp;
+      sum5 += a * np * tp;
+      if (a * np * tp < relerr * sum5) goto finish;
+    }
+  }
+ finish:
+  return ret + C((0.5*c)*y*(sum2+sum3), 
+                 (0.5*c)*copysign(sum5-sum4, creal(z)));
+}
+
+/////////////////////////////////////////////////////////////////////////
+
+/* erfcx(x) = exp(x^2) erfc(x) function, for real x, written by
+   Steven G. Johnson, October 2012.
+
+   This function combines a few different ideas.
+
+   First, for x > 50, it uses a continued-fraction expansion (same as
+   for the Faddeeva function, but with algebraic simplifications for z=i*x).
+
+   Second, for 0 <= x <= 50, it uses Chebyshev polynomial approximations,
+   but with two twists:
+
+      a) It maps x to y = 4 / (4+x) in [0,1].  This simple transformation,
+         inspired by a similar transformation in the octave-forge/specfun
+         erfcx by Soren Hauberg, results in much faster Chebyshev convergence
+         than other simple transformations I have examined.
+
+      b) Instead of using a single Chebyshev polynomial for the entire
+         [0,1] y interval, we break the interval up into 100 equal
+         subintervals, with a switch/lookup table, and use much lower
+         degree Chebyshev polynomials in each subinterval. This greatly
+         improves performance in my tests.
+
+   For x < 0, we use the relationship erfcx(-x) = 2 exp(x^2) - erfc(x),
+   with the usual checks for overflow etcetera.
+
+   Performance-wise, it seems to be substantially faster than either
+   the SLATEC DERFC function [or an erfcx function derived therefrom]
+   or Cody's CALERF function (from netlib.org/specfun), while
+   retaining near machine precision in accuracy.  */
+
+/* Given y100=100*y, where y = 4/(4+x) for x >= 0, compute erfc(x).
+
+   Uses a look-up table of 100 different Chebyshev polynomials
+   for y intervals [0,0.01], [0.01,0.02], ...., [0.99,1], generated
+   with the help of Maple and a little shell script.   This allows
+   the Chebyshev polynomials to be of significantly lower degree (about 1/4)
+   compared to fitting the whole [0,1] interval with a single polynomial. */
+static double erfcx_y100(double y100)
+{
+  switch ((int) y100) {
+case 0: {
+double t = 2*y100 - 1;
+return 0.70878032454106438663e-3 + (0.71234091047026302958e-3 + (0.35779077297597742384e-5 + (0.17403143962587937815e-7 + (0.81710660047307788845e-10 + (0.36885022360434957634e-12 + 0.15917038551111111111e-14 * t) * t) * t) * t) * t) * t;
+}
+case 1: {
+double t = 2*y100 - 3;
+return 0.21479143208285144230e-2 + (0.72686402367379996033e-3 + (0.36843175430938995552e-5 + (0.18071841272149201685e-7 + (0.85496449296040325555e-10 + (0.38852037518534291510e-12 + 0.16868473576888888889e-14 * t) * t) * t) * t) * t) * t;
+}
+case 2: {
+double t = 2*y100 - 5;
+return 0.36165255935630175090e-2 + (0.74182092323555510862e-3 + (0.37948319957528242260e-5 + (0.18771627021793087350e-7 + (0.89484715122415089123e-10 + (0.40935858517772440862e-12 + 0.17872061464888888889e-14 * t) * t) * t) * t) * t) * t;
+}
+case 3: {
+double t = 2*y100 - 7;
+return 0.51154983860031979264e-2 + (0.75722840734791660540e-3 + (0.39096425726735703941e-5 + (0.19504168704300468210e-7 + (0.93687503063178993915e-10 + (0.43143925959079664747e-12 + 0.18939926435555555556e-14 * t) * t) * t) * t) * t) * t;
+}
+case 4: {
+double t = 2*y100 - 9;
+return 0.66457513172673049824e-2 + (0.77310406054447454920e-3 + (0.40289510589399439385e-5 + (0.20271233238288381092e-7 + (0.98117631321709100264e-10 + (0.45484207406017752971e-12 + 0.20076352213333333333e-14 * t) * t) * t) * t) * t) * t;
+}
+case 5: {
+double t = 2*y100 - 11;
+return 0.82082389970241207883e-2 + (0.78946629611881710721e-3 + (0.41529701552622656574e-5 + (0.21074693344544655714e-7 + (0.10278874108587317989e-9 + (0.47965201390613339638e-12 + 0.21285907413333333333e-14 * t) * t) * t) * t) * t) * t;
+}
+case 6: {
+double t = 2*y100 - 13;
+return 0.98039537275352193165e-2 + (0.80633440108342840956e-3 + (0.42819241329736982942e-5 + (0.21916534346907168612e-7 + (0.10771535136565470914e-9 + (0.50595972623692822410e-12 + 0.22573462684444444444e-14 * t) * t) * t) * t) * t) * t;
+}
+case 7: {
+double t = 2*y100 - 15;
+return 0.11433927298290302370e-1 + (0.82372858383196561209e-3 + (0.44160495311765438816e-5 + (0.22798861426211986056e-7 + (0.11291291745879239736e-9 + (0.53386189365816880454e-12 + 0.23944209546666666667e-14 * t) * t) * t) * t) * t) * t;
+}
+case 8: {
+double t = 2*y100 - 17;
+return 0.13099232878814653979e-1 + (0.84167002467906968214e-3 + (0.45555958988457506002e-5 + (0.23723907357214175198e-7 + (0.11839789326602695603e-9 + (0.56346163067550237877e-12 + 0.25403679644444444444e-14 * t) * t) * t) * t) * t) * t;
+}
+case 9: {
+double t = 2*y100 - 19;
+return 0.14800987015587535621e-1 + (0.86018092946345943214e-3 + (0.47008265848816866105e-5 + (0.24694040760197315333e-7 + (0.12418779768752299093e-9 + (0.59486890370320261949e-12 + 0.26957764568888888889e-14 * t) * t) * t) * t) * t) * t;
+}
+case 10: {
+double t = 2*y100 - 21;
+return 0.16540351739394069380e-1 + (0.87928458641241463952e-3 + (0.48520195793001753903e-5 + (0.25711774900881709176e-7 + (0.13030128534230822419e-9 + (0.62820097586874779402e-12 + 0.28612737351111111111e-14 * t) * t) * t) * t) * t) * t;
+}
+case 11: {
+double t = 2*y100 - 23;
+return 0.18318536789842392647e-1 + (0.89900542647891721692e-3 + (0.50094684089553365810e-5 + (0.26779777074218070482e-7 + (0.13675822186304615566e-9 + (0.66358287745352705725e-12 + 0.30375273884444444444e-14 * t) * t) * t) * t) * t) * t;
+}
+case 12: {
+double t = 2*y100 - 25;
+return 0.20136801964214276775e-1 + (0.91936908737673676012e-3 + (0.51734830914104276820e-5 + (0.27900878609710432673e-7 + (0.14357976402809042257e-9 + (0.70114790311043728387e-12 + 0.32252476000000000000e-14 * t) * t) * t) * t) * t) * t;
+}
+case 13: {
+double t = 2*y100 - 27;
+return 0.21996459598282740954e-1 + (0.94040248155366777784e-3 + (0.53443911508041164739e-5 + (0.29078085538049374673e-7 + (0.15078844500329731137e-9 + (0.74103813647499204269e-12 + 0.34251892320000000000e-14 * t) * t) * t) * t) * t) * t;
+}
+case 14: {
+double t = 2*y100 - 29;
+return 0.23898877187226319502e-1 + (0.96213386835900177540e-3 + (0.55225386998049012752e-5 + (0.30314589961047687059e-7 + (0.15840826497296335264e-9 + (0.78340500472414454395e-12 + 0.36381553564444444445e-14 * t) * t) * t) * t) * t) * t;
+}
+case 15: {
+double t = 2*y100 - 31;
+return 0.25845480155298518485e-1 + (0.98459293067820123389e-3 + (0.57082915920051843672e-5 + (0.31613782169164830118e-7 + (0.16646478745529630813e-9 + (0.82840985928785407942e-12 + 0.38649975768888888890e-14 * t) * t) * t) * t) * t) * t;
+}
+case 16: {
+double t = 2*y100 - 33;
+return 0.27837754783474696598e-1 + (0.10078108563256892757e-2 + (0.59020366493792212221e-5 + (0.32979263553246520417e-7 + (0.17498524159268458073e-9 + (0.87622459124842525110e-12 + 0.41066206488888888890e-14 * t) * t) * t) * t) * t) * t;
+}
+case 17: {
+double t = 2*y100 - 35;
+return 0.29877251304899307550e-1 + (0.10318204245057349310e-2 + (0.61041829697162055093e-5 + (0.34414860359542720579e-7 + (0.18399863072934089607e-9 + (0.92703227366365046533e-12 + 0.43639844053333333334e-14 * t) * t) * t) * t) * t) * t;
+}
+case 18: {
+double t = 2*y100 - 37;
+return 0.31965587178596443475e-1 + (0.10566560976716574401e-2 + (0.63151633192414586770e-5 + (0.35924638339521924242e-7 + (0.19353584758781174038e-9 + (0.98102783859889264382e-12 + 0.46381060817777777779e-14 * t) * t) * t) * t) * t) * t;
+}
+case 19: {
+double t = 2*y100 - 39;
+return 0.34104450552588334840e-1 + (0.10823541191350532574e-2 + (0.65354356159553934436e-5 + (0.37512918348533521149e-7 + (0.20362979635817883229e-9 + (0.10384187833037282363e-11 + 0.49300625262222222221e-14 * t) * t) * t) * t) * t) * t;
+}
+case 20: {
+double t = 2*y100 - 41;
+return 0.36295603928292425716e-1 + (0.11089526167995268200e-2 + (0.67654845095518363577e-5 + (0.39184292949913591646e-7 + (0.21431552202133775150e-9 + (0.10994259106646731797e-11 + 0.52409949102222222221e-14 * t) * t) * t) * t) * t) * t;
+}
+case 21: {
+double t = 2*y100 - 43;
+return 0.38540888038840509795e-1 + (0.11364917134175420009e-2 + (0.70058230641246312003e-5 + (0.40943644083718586939e-7 + (0.22563034723692881631e-9 + (0.11642841011361992885e-11 + 0.55721092871111111110e-14 * t) * t) * t) * t) * t) * t;
+}
+case 22: {
+double t = 2*y100 - 45;
+return 0.40842225954785960651e-1 + (0.11650136437945673891e-2 + (0.72569945502343006619e-5 + (0.42796161861855042273e-7 + (0.23761401711005024162e-9 + (0.12332431172381557035e-11 + 0.59246802364444444445e-14 * t) * t) * t) * t) * t) * t;
+}
+case 23: {
+double t = 2*y100 - 47;
+return 0.43201627431540222422e-1 + (0.11945628793917272199e-2 + (0.75195743532849206263e-5 + (0.44747364553960993492e-7 + (0.25030885216472953674e-9 + (0.13065684400300476484e-11 + 0.63000532853333333334e-14 * t) * t) * t) * t) * t) * t;
+}
+case 24: {
+double t = 2*y100 - 49;
+return 0.45621193513810471438e-1 + (0.12251862608067529503e-2 + (0.77941720055551920319e-5 + (0.46803119830954460212e-7 + (0.26375990983978426273e-9 + (0.13845421370977119765e-11 + 0.66996477404444444445e-14 * t) * t) * t) * t) * t) * t;
+}
+case 25: {
+double t = 2*y100 - 51;
+return 0.48103121413299865517e-1 + (0.12569331386432195113e-2 + (0.80814333496367673980e-5 + (0.48969667335682018324e-7 + (0.27801515481905748484e-9 + (0.14674637611609884208e-11 + 0.71249589351111111110e-14 * t) * t) * t) * t) * t) * t;
+}
+case 26: {
+double t = 2*y100 - 53;
+return 0.50649709676983338501e-1 + (0.12898555233099055810e-2 + (0.83820428414568799654e-5 + (0.51253642652551838659e-7 + (0.29312563849675507232e-9 + (0.15556512782814827846e-11 + 0.75775607822222222221e-14 * t) * t) * t) * t) * t) * t;
+}
+case 27: {
+double t = 2*y100 - 55;
+return 0.53263363664388864181e-1 + (0.13240082443256975769e-2 + (0.86967260015007658418e-5 + (0.53662102750396795566e-7 + (0.30914568786634796807e-9 + (0.16494420240828493176e-11 + 0.80591079644444444445e-14 * t) * t) * t) * t) * t) * t;
+}
+case 28: {
+double t = 2*y100 - 57;
+return 0.55946601353500013794e-1 + (0.13594491197408190706e-2 + (0.90262520233016380987e-5 + (0.56202552975056695376e-7 + (0.32613310410503135996e-9 + (0.17491936862246367398e-11 + 0.85713381688888888890e-14 * t) * t) * t) * t) * t) * t;
+}
+case 29: {
+double t = 2*y100 - 59;
+return 0.58702059496154081813e-1 + (0.13962391363223647892e-2 + (0.93714365487312784270e-5 + (0.58882975670265286526e-7 + (0.34414937110591753387e-9 + (0.18552853109751857859e-11 + 0.91160736711111111110e-14 * t) * t) * t) * t) * t) * t;
+}
+case 30: {
+double t = 2*y100 - 61;
+return 0.61532500145144778048e-1 + (0.14344426411912015247e-2 + (0.97331446201016809696e-5 + (0.61711860507347175097e-7 + (0.36325987418295300221e-9 + (0.19681183310134518232e-11 + 0.96952238400000000000e-14 * t) * t) * t) * t) * t) * t;
+}
+case 31: {
+double t = 2*y100 - 63;
+return 0.64440817576653297993e-1 + (0.14741275456383131151e-2 + (0.10112293819576437838e-4 + (0.64698236605933246196e-7 + (0.38353412915303665586e-9 + (0.20881176114385120186e-11 + 0.10310784480000000000e-13 * t) * t) * t) * t) * t) * t;
+}
+case 32: {
+double t = 2*y100 - 65;
+return 0.67430045633130393282e-1 + (0.15153655418916540370e-2 + (0.10509857606888328667e-4 + (0.67851706529363332855e-7 + (0.40504602194811140006e-9 + (0.22157325110542534469e-11 + 0.10964842115555555556e-13 * t) * t) * t) * t) * t) * t;
+}
+case 33: {
+double t = 2*y100 - 67;
+return 0.70503365513338850709e-1 + (0.15582323336495709827e-2 + (0.10926868866865231089e-4 + (0.71182482239613507542e-7 + (0.42787405890153386710e-9 + (0.23514379522274416437e-11 + 0.11659571751111111111e-13 * t) * t) * t) * t) * t) * t;
+}
+case 34: {
+double t = 2*y100 - 69;
+return 0.73664114037944596353e-1 + (0.16028078812438820413e-2 + (0.11364423678778207991e-4 + (0.74701423097423182009e-7 + (0.45210162777476488324e-9 + (0.24957355004088569134e-11 + 0.12397238257777777778e-13 * t) * t) * t) * t) * t) * t;
+}
+case 35: {
+double t = 2*y100 - 71;
+return 0.76915792420819562379e-1 + (0.16491766623447889354e-2 + (0.11823685320041302169e-4 + (0.78420075993781544386e-7 + (0.47781726956916478925e-9 + (0.26491544403815724749e-11 + 0.13180196462222222222e-13 * t) * t) * t) * t) * t) * t;
+}
+case 36: {
+double t = 2*y100 - 73;
+return 0.80262075578094612819e-1 + (0.16974279491709504117e-2 + (0.12305888517309891674e-4 + (0.82350717698979042290e-7 + (0.50511496109857113929e-9 + (0.28122528497626897696e-11 + 0.14010889635555555556e-13 * t) * t) * t) * t) * t) * t;
+}
+case 37: {
+double t = 2*y100 - 75;
+return 0.83706822008980357446e-1 + (0.17476561032212656962e-2 + (0.12812343958540763368e-4 + (0.86506399515036435592e-7 + (0.53409440823869467453e-9 + (0.29856186620887555043e-11 + 0.14891851591111111111e-13 * t) * t) * t) * t) * t) * t;
+}
+case 38: {
+double t = 2*y100 - 77;
+return 0.87254084284461718231e-1 + (0.17999608886001962327e-2 + (0.13344443080089492218e-4 + (0.90900994316429008631e-7 + (0.56486134972616465316e-9 + (0.31698707080033956934e-11 + 0.15825697795555555556e-13 * t) * t) * t) * t) * t) * t;
+}
+case 39: {
+double t = 2*y100 - 79;
+return 0.90908120182172748487e-1 + (0.18544478050657699758e-2 + (0.13903663143426120077e-4 + (0.95549246062549906177e-7 + (0.59752787125242054315e-9 + (0.33656597366099099413e-11 + 0.16815130613333333333e-13 * t) * t) * t) * t) * t) * t;
+}
+case 40: {
+double t = 2*y100 - 81;
+return 0.94673404508075481121e-1 + (0.19112284419887303347e-2 + (0.14491572616545004930e-4 + (0.10046682186333613697e-6 + (0.63221272959791000515e-9 + (0.35736693975589130818e-11 + 0.17862931591111111111e-13 * t) * t) * t) * t) * t) * t;
+}
+case 41: {
+double t = 2*y100 - 83;
+return 0.98554641648004456555e-1 + (0.19704208544725622126e-2 + (0.15109836875625443935e-4 + (0.10567036667675984067e-6 + (0.66904168640019354565e-9 + (0.37946171850824333014e-11 + 0.18971959040000000000e-13 * t) * t) * t) * t) * t) * t;
+}
+case 42: {
+double t = 2*y100 - 85;
+return 0.10255677889470089531e0 + (0.20321499629472857418e-2 + (0.15760224242962179564e-4 + (0.11117756071353507391e-6 + (0.70814785110097658502e-9 + (0.40292553276632563925e-11 + 0.20145143075555555556e-13 * t) * t) * t) * t) * t) * t;
+}
+case 43: {
+double t = 2*y100 - 87;
+return 0.10668502059865093318e0 + (0.20965479776148731610e-2 + (0.16444612377624983565e-4 + (0.11700717962026152749e-6 + (0.74967203250938418991e-9 + (0.42783716186085922176e-11 + 0.21385479360000000000e-13 * t) * t) * t) * t) * t) * t;
+}
+case 44: {
+double t = 2*y100 - 89;
+return 0.11094484319386444474e0 + (0.21637548491908170841e-2 + (0.17164995035719657111e-4 + (0.12317915750735938089e-6 + (0.79376309831499633734e-9 + (0.45427901763106353914e-11 + 0.22696025653333333333e-13 * t) * t) * t) * t) * t) * t;
+}
+case 45: {
+double t = 2*y100 - 91;
+return 0.11534201115268804714e0 + (0.22339187474546420375e-2 + (0.17923489217504226813e-4 + (0.12971465288245997681e-6 + (0.84057834180389073587e-9 + (0.48233721206418027227e-11 + 0.24079890062222222222e-13 * t) * t) * t) * t) * t) * t;
+}
+case 46: {
+double t = 2*y100 - 93;
+return 0.11988259392684094740e0 + (0.23071965691918689601e-2 + (0.18722342718958935446e-4 + (0.13663611754337957520e-6 + (0.89028385488493287005e-9 + (0.51210161569225846701e-11 + 0.25540227111111111111e-13 * t) * t) * t) * t) * t) * t;
+}
+case 47: {
+double t = 2*y100 - 95;
+return 0.12457298393509812907e0 + (0.23837544771809575380e-2 + (0.19563942105711612475e-4 + (0.14396736847739470782e-6 + (0.94305490646459247016e-9 + (0.54366590583134218096e-11 + 0.27080225920000000000e-13 * t) * t) * t) * t) * t) * t;
+}
+case 48: {
+double t = 2*y100 - 97;
+return 0.12941991566142438816e0 + (0.24637684719508859484e-2 + (0.20450821127475879816e-4 + (0.15173366280523906622e-6 + (0.99907632506389027739e-9 + (0.57712760311351625221e-11 + 0.28703099555555555556e-13 * t) * t) * t) * t) * t) * t;
+}
+case 49: {
+double t = 2*y100 - 99;
+return 0.13443048593088696613e0 + (0.25474249981080823877e-2 + (0.21385669591362915223e-4 + (0.15996177579900443030e-6 + (0.10585428844575134013e-8 + (0.61258809536787882989e-11 + 0.30412080142222222222e-13 * t) * t) * t) * t) * t) * t;
+}
+case 50: {
+double t = 2*y100 - 101;
+return 0.13961217543434561353e0 + (0.26349215871051761416e-2 + (0.22371342712572567744e-4 + (0.16868008199296822247e-6 + (0.11216596910444996246e-8 + (0.65015264753090890662e-11 + 0.32210394506666666666e-13 * t) * t) * t) * t) * t) * t;
+}
+case 51: {
+double t = 2*y100 - 103;
+return 0.14497287157673800690e0 + (0.27264675383982439814e-2 + (0.23410870961050950197e-4 + (0.17791863939526376477e-6 + (0.11886425714330958106e-8 + (0.68993039665054288034e-11 + 0.34101266222222222221e-13 * t) * t) * t) * t) * t) * t;
+}
+case 52: {
+double t = 2*y100 - 105;
+return 0.15052089272774618151e0 + (0.28222846410136238008e-2 + (0.24507470422713397006e-4 + (0.18770927679626136909e-6 + (0.12597184587583370712e-8 + (0.73203433049229821618e-11 + 0.36087889048888888890e-13 * t) * t) * t) * t) * t) * t;
+}
+case 53: {
+double t = 2*y100 - 107;
+return 0.15626501395774612325e0 + (0.29226079376196624949e-2 + (0.25664553693768450545e-4 + (0.19808568415654461964e-6 + (0.13351257759815557897e-8 + (0.77658124891046760667e-11 + 0.38173420035555555555e-13 * t) * t) * t) * t) * t) * t;
+}
+case 54: {
+double t = 2*y100 - 109;
+return 0.16221449434620737567e0 + (0.30276865332726475672e-2 + (0.26885741326534564336e-4 + (0.20908350604346384143e-6 + (0.14151148144240728728e-8 + (0.82369170665974313027e-11 + 0.40360957457777777779e-13 * t) * t) * t) * t) * t) * t;
+}
+case 55: {
+double t = 2*y100 - 111;
+return 0.16837910595412130659e0 + (0.31377844510793082301e-2 + (0.28174873844911175026e-4 + (0.22074043807045782387e-6 + (0.14999481055996090039e-8 + (0.87348993661930809254e-11 + 0.42653528977777777779e-13 * t) * t) * t) * t) * t) * t;
+}
+case 56: {
+double t = 2*y100 - 113;
+return 0.17476916455659369953e0 + (0.32531815370903068316e-2 + (0.29536024347344364074e-4 + (0.23309632627767074202e-6 + (0.15899007843582444846e-8 + (0.92610375235427359475e-11 + 0.45054073102222222221e-13 * t) * t) * t) * t) * t) * t;
+}
+case 57: {
+double t = 2*y100 - 115;
+return 0.18139556223643701364e0 + (0.33741744168096996041e-2 + (0.30973511714709500836e-4 + (0.24619326937592290996e-6 + (0.16852609412267750744e-8 + (0.98166442942854895573e-11 + 0.47565418097777777779e-13 * t) * t) * t) * t) * t) * t;
+}
+case 58: {
+double t = 2*y100 - 117;
+return 0.18826980194443664549e0 + (0.35010775057740317997e-2 + (0.32491914440014267480e-4 + (0.26007572375886319028e-6 + (0.17863299617388376116e-8 + (0.10403065638343878679e-10 + 0.50190265831111111110e-13 * t) * t) * t) * t) * t) * t;
+}
+case 59: {
+double t = 2*y100 - 119;
+return 0.19540403413693967350e0 + (0.36342240767211326315e-2 + (0.34096085096200907289e-4 + (0.27479061117017637474e-6 + (0.18934228504790032826e-8 + (0.11021679075323598664e-10 + 0.52931171733333333334e-13 * t) * t) * t) * t) * t) * t;
+}
+case 60: {
+double t = 2*y100 - 121;
+return 0.20281109560651886959e0 + (0.37739673859323597060e-2 + (0.35791165457592409054e-4 + (0.29038742889416172404e-6 + (0.20068685374849001770e-8 + (0.11673891799578381999e-10 + 0.55790523093333333334e-13 * t) * t) * t) * t) * t) * t;
+}
+case 61: {
+double t = 2*y100 - 123;
+return 0.21050455062669334978e0 + (0.39206818613925652425e-2 + (0.37582602289680101704e-4 + (0.30691836231886877385e-6 + (0.21270101645763677824e-8 + (0.12361138551062899455e-10 + 0.58770520160000000000e-13 * t) * t) * t) * t) * t) * t;
+}
+case 62: {
+double t = 2*y100 - 125;
+return 0.21849873453703332479e0 + (0.40747643554689586041e-2 + (0.39476163820986711501e-4 + (0.32443839970139918836e-6 + (0.22542053491518680200e-8 + (0.13084879235290858490e-10 + 0.61873153262222222221e-13 * t) * t) * t) * t) * t) * t;
+}
+case 63: {
+double t = 2*y100 - 127;
+return 0.22680879990043229327e0 + (0.42366354648628516935e-2 + (0.41477956909656896779e-4 + (0.34300544894502810002e-6 + (0.23888264229264067658e-8 + (0.13846596292818514601e-10 + 0.65100183751111111110e-13 * t) * t) * t) * t) * t) * t;
+}
+case 64: {
+double t = 2*y100 - 129;
+return 0.23545076536988703937e0 + (0.44067409206365170888e-2 + (0.43594444916224700881e-4 + (0.36268045617760415178e-6 + (0.25312606430853202748e-8 + (0.14647791812837903061e-10 + 0.68453122631111111110e-13 * t) * t) * t) * t) * t) * t;
+}
+case 65: {
+double t = 2*y100 - 131;
+return 0.24444156740777432838e0 + (0.45855530511605787178e-2 + (0.45832466292683085475e-4 + (0.38352752590033030472e-6 + (0.26819103733055603460e-8 + (0.15489984390884756993e-10 + 0.71933206364444444445e-13 * t) * t) * t) * t) * t) * t;
+}
+case 66: {
+double t = 2*y100 - 133;
+return 0.25379911500634264643e0 + (0.47735723208650032167e-2 + (0.48199253896534185372e-4 + (0.40561404245564732314e-6 + (0.28411932320871165585e-8 + (0.16374705736458320149e-10 + 0.75541379822222222221e-13 * t) * t) * t) * t) * t) * t;
+}
+case 67: {
+double t = 2*y100 - 135;
+return 0.26354234756393613032e0 + (0.49713289477083781266e-2 + (0.50702455036930367504e-4 + (0.42901079254268185722e-6 + (0.30095422058900481753e-8 + (0.17303497025347342498e-10 + 0.79278273368888888890e-13 * t) * t) * t) * t) * t) * t;
+}
+case 68: {
+double t = 2*y100 - 137;
+return 0.27369129607732343398e0 + (0.51793846023052643767e-2 + (0.53350152258326602629e-4 + (0.45379208848865015485e-6 + (0.31874057245814381257e-8 + (0.18277905010245111046e-10 + 0.83144182364444444445e-13 * t) * t) * t) * t) * t) * t;
+}
+case 69: {
+double t = 2*y100 - 139;
+return 0.28426714781640316172e0 + (0.53983341916695141966e-2 + (0.56150884865255810638e-4 + (0.48003589196494734238e-6 + (0.33752476967570796349e-8 + (0.19299477888083469086e-10 + 0.87139049137777777779e-13 * t) * t) * t) * t) * t) * t;
+}
+case 70: {
+double t = 2*y100 - 141;
+return 0.29529231465348519920e0 + (0.56288077305420795663e-2 + (0.59113671189913307427e-4 + (0.50782393781744840482e-6 + (0.35735475025851713168e-8 + (0.20369760937017070382e-10 + 0.91262442613333333334e-13 * t) * t) * t) * t) * t) * t;
+}
+case 71: {
+double t = 2*y100 - 143;
+return 0.30679050522528838613e0 + (0.58714723032745403331e-2 + (0.62248031602197686791e-4 + (0.53724185766200945789e-6 + (0.37827999418960232678e-8 + (0.21490291930444538307e-10 + 0.95513539182222222221e-13 * t) * t) * t) * t) * t) * t;
+}
+case 72: {
+double t = 2*y100 - 145;
+return 0.31878680111173319425e0 + (0.61270341192339103514e-2 + (0.65564012259707640976e-4 + (0.56837930287837738996e-6 + (0.40035151353392378882e-8 + (0.22662596341239294792e-10 + 0.99891109760000000000e-13 * t) * t) * t) * t) * t) * t;
+}
+case 73: {
+double t = 2*y100 - 147;
+return 0.33130773722152622027e0 + (0.63962406646798080903e-2 + (0.69072209592942396666e-4 + (0.60133006661885941812e-6 + (0.42362183765883466691e-8 + (0.23888182347073698382e-10 + 0.10439349811555555556e-12 * t) * t) * t) * t) * t) * t;
+}
+case 74: {
+double t = 2*y100 - 149;
+return 0.34438138658041336523e0 + (0.66798829540414007258e-2 + (0.72783795518603561144e-4 + (0.63619220443228800680e-6 + (0.44814499336514453364e-8 + (0.25168535651285475274e-10 + 0.10901861383111111111e-12 * t) * t) * t) * t) * t) * t;
+}
+case 75: {
+double t = 2*y100 - 151;
+return 0.35803744972380175583e0 + (0.69787978834882685031e-2 + (0.76710543371454822497e-4 + (0.67306815308917386747e-6 + (0.47397647975845228205e-8 + (0.26505114141143050509e-10 + 0.11376390933333333333e-12 * t) * t) * t) * t) * t) * t;
+}
+case 76: {
+double t = 2*y100 - 153;
+return 0.37230734890119724188e0 + (0.72938706896461381003e-2 + (0.80864854542670714092e-4 + (0.71206484718062688779e-6 + (0.50117323769745883805e-8 + (0.27899342394100074165e-10 + 0.11862637614222222222e-12 * t) * t) * t) * t) * t) * t;
+}
+case 77: {
+double t = 2*y100 - 155;
+return 0.38722432730555448223e0 + (0.76260375162549802745e-2 + (0.85259785810004603848e-4 + (0.75329383305171327677e-6 + (0.52979361368388119355e-8 + (0.29352606054164086709e-10 + 0.12360253370666666667e-12 * t) * t) * t) * t) * t) * t;
+}
+case 78: {
+double t = 2*y100 - 157;
+return 0.40282355354616940667e0 + (0.79762880915029728079e-2 + (0.89909077342438246452e-4 + (0.79687137961956194579e-6 + (0.55989731807360403195e-8 + (0.30866246101464869050e-10 + 0.12868841946666666667e-12 * t) * t) * t) * t) * t) * t;
+}
+case 79: {
+double t = 2*y100 - 159;
+return 0.41914223158913787649e0 + (0.83456685186950463538e-2 + (0.94827181359250161335e-4 + (0.84291858561783141014e-6 + (0.59154537751083485684e-8 + (0.32441553034347469291e-10 + 0.13387957943111111111e-12 * t) * t) * t) * t) * t) * t;
+}
+case 80: {
+double t = 2*y100 - 161;
+return 0.43621971639463786896e0 + (0.87352841828289495773e-2 + (0.10002929142066799966e-3 + (0.89156148280219880024e-6 + (0.62480008150788597147e-8 + (0.34079760983458878910e-10 + 0.13917107176888888889e-12 * t) * t) * t) * t) * t) * t;
+}
+case 81: {
+double t = 2*y100 - 163;
+return 0.45409763548534330981e0 + (0.91463027755548240654e-2 + (0.10553137232446167258e-3 + (0.94293113464638623798e-6 + (0.65972492312219959885e-8 + (0.35782041795476563662e-10 + 0.14455745872000000000e-12 * t) * t) * t) * t) * t) * t;
+}
+case 82: {
+double t = 2*y100 - 165;
+return 0.47282001668512331468e0 + (0.95799574408860463394e-2 + (0.11135019058000067469e-3 + (0.99716373005509038080e-6 + (0.69638453369956970347e-8 + (0.37549499088161345850e-10 + 0.15003280712888888889e-12 * t) * t) * t) * t) * t) * t;
+}
+case 83: {
+double t = 2*y100 - 167;
+return 0.49243342227179841649e0 + (0.10037550043909497071e-1 + (0.11750334542845234952e-3 + (0.10544006716188967172e-5 + (0.73484461168242224872e-8 + (0.39383162326435752965e-10 + 0.15559069118222222222e-12 * t) * t) * t) * t) * t) * t;
+}
+case 84: {
+double t = 2*y100 - 169;
+return 0.51298708979209258326e0 + (0.10520454564612427224e-1 + (0.12400930037494996655e-3 + (0.11147886579371265246e-5 + (0.77517184550568711454e-8 + (0.41283980931872622611e-10 + 0.16122419680000000000e-12 * t) * t) * t) * t) * t) * t;
+}
+case 85: {
+double t = 2*y100 - 171;
+return 0.53453307979101369843e0 + (0.11030120618800726938e-1 + (0.13088741519572269581e-3 + (0.11784797595374515432e-5 + (0.81743383063044825400e-8 + (0.43252818449517081051e-10 + 0.16692592640000000000e-12 * t) * t) * t) * t) * t) * t;
+}
+case 86: {
+double t = 2*y100 - 173;
+return 0.55712643071169299478e0 + (0.11568077107929735233e-1 + (0.13815797838036651289e-3 + (0.12456314879260904558e-5 + (0.86169898078969313597e-8 + (0.45290446811539652525e-10 + 0.17268801084444444444e-12 * t) * t) * t) * t) * t) * t;
+}
+case 87: {
+double t = 2*y100 - 175;
+return 0.58082532122519320968e0 + (0.12135935999503877077e-1 + (0.14584223996665838559e-3 + (0.13164068573095710742e-5 + (0.90803643355106020163e-8 + (0.47397540713124619155e-10 + 0.17850211608888888889e-12 * t) * t) * t) * t) * t) * t;
+}
+case 88: {
+double t = 2*y100 - 177;
+return 0.60569124025293375554e0 + (0.12735396239525550361e-1 + (0.15396244472258863344e-3 + (0.13909744385382818253e-5 + (0.95651595032306228245e-8 + (0.49574672127669041550e-10 + 0.18435945564444444444e-12 * t) * t) * t) * t) * t) * t;
+}
+case 89: {
+double t = 2*y100 - 179;
+return 0.63178916494715716894e0 + (0.13368247798287030927e-1 + (0.16254186562762076141e-3 + (0.14695084048334056083e-5 + (0.10072078109604152350e-7 + (0.51822304995680707483e-10 + 0.19025081422222222222e-12 * t) * t) * t) * t) * t) * t;
+}
+case 90: {
+double t = 2*y100 - 181;
+return 0.65918774689725319200e0 + (0.14036375850601992063e-1 + (0.17160483760259706354e-3 + (0.15521885688723188371e-5 + (0.10601827031535280590e-7 + (0.54140790105837520499e-10 + 0.19616655146666666667e-12 * t) * t) * t) * t) * t) * t;
+}
+case 91: {
+double t = 2*y100 - 183;
+return 0.68795950683174433822e0 + (0.14741765091365869084e-1 + (0.18117679143520433835e-3 + (0.16392004108230585213e-5 + (0.11155116068018043001e-7 + (0.56530360194925690374e-10 + 0.20209663662222222222e-12 * t) * t) * t) * t) * t) * t;
+}
+case 92: {
+double t = 2*y100 - 185;
+return 0.71818103808729967036e0 + (0.15486504187117112279e-1 + (0.19128428784550923217e-3 + (0.17307350969359975848e-5 + (0.11732656736113607751e-7 + (0.58991125287563833603e-10 + 0.20803065333333333333e-12 * t) * t) * t) * t) * t) * t;
+}
+case 93: {
+double t = 2*y100 - 187;
+return 0.74993321911726254661e0 + (0.16272790364044783382e-1 + (0.20195505163377912645e-3 + (0.18269894883203346953e-5 + (0.12335161021630225535e-7 + (0.61523068312169087227e-10 + 0.21395783431111111111e-12 * t) * t) * t) * t) * t) * t;
+}
+case 94: {
+double t = 2*y100 - 189;
+return 0.78330143531283492729e0 + (0.17102934132652429240e-1 + (0.21321800585063327041e-3 + (0.19281661395543913713e-5 + (0.12963340087354341574e-7 + (0.64126040998066348872e-10 + 0.21986708942222222222e-12 * t) * t) * t) * t) * t) * t;
+}
+case 95: {
+double t = 2*y100 - 191;
+return 0.81837581041023811832e0 + (0.17979364149044223802e-1 + (0.22510330592753129006e-3 + (0.20344732868018175389e-5 + (0.13617902941839949718e-7 + (0.66799760083972474642e-10 + 0.22574701262222222222e-12 * t) * t) * t) * t) * t) * t;
+}
+case 96: {
+double t = 2*y100 - 193;
+return 0.85525144775685126237e0 + (0.18904632212547561026e-1 + (0.23764237370371255638e-3 + (0.21461248251306387979e-5 + (0.14299555071870523786e-7 + (0.69543803864694171934e-10 + 0.23158593688888888889e-12 * t) * t) * t) * t) * t) * t;
+}
+case 97: {
+double t = 2*y100 - 195;
+return 0.89402868170849933734e0 + (0.19881418399127202569e-1 + (0.25086793128395995798e-3 + (0.22633402747585233180e-5 + (0.15008997042116532283e-7 + (0.72357609075043941261e-10 + 0.23737194737777777778e-12 * t) * t) * t) * t) * t) * t;
+}
+case 98: {
+double t = 2*y100 - 197;
+return 0.93481333942870796363e0 + (0.20912536329780368893e-1 + (0.26481403465998477969e-3 + (0.23863447359754921676e-5 + (0.15746923065472184451e-7 + (0.75240468141720143653e-10 + 0.24309291271111111111e-12 * t) * t) * t) * t) * t) * t;
+}
+case 99: {
+double t = 2*y100 - 199;
+return 0.97771701335885035464e0 + (0.22000938572830479551e-1 + (0.27951610702682383001e-3 + (0.25153688325245314530e-5 + (0.16514019547822821453e-7 + (0.78191526829368231251e-10 + 0.24873652355555555556e-12 * t) * t) * t) * t) * t) * t;
+}
+  }
+  // we only get here if y = 1, i.e. |x| < 4*eps, in which case
+  // erfcx is within 1e-15 of 1..
+  return 1.0;
+}
+
+double FADDEEVA_RE(erfcx)(double x)
+{
+  if (x >= 0) {
+    if (x > 50) { // continued-fraction expansion is faster
+      const double ispi = 0.56418958354775628694807945156; // 1 / sqrt(pi)
+      if (x > 5e7) // 1-term expansion, important to avoid overflow
+        return ispi / x;
+      /* 5-term expansion (rely on compiler for CSE), simplified from:
+                ispi / (x+0.5/(x+1/(x+1.5/(x+2/x))))  */
+      return ispi*((x*x) * (x*x+4.5) + 2) / (x * ((x*x) * (x*x+5) + 3.75));
+    }
+    return erfcx_y100(400/(4+x));
+  }
+  else
+    return x < -26.7 ? HUGE_VAL : (x < -6.1 ? 2*exp(x*x) 
+                                   : 2*exp(x*x) - erfcx_y100(400/(4-x)));
+}
+
+/////////////////////////////////////////////////////////////////////////
+/* Compute a scaled Dawson integral 
+            FADDEEVA(w_im)(x) = 2*Dawson(x)/sqrt(pi)
+   equivalent to the imaginary part w(x) for real x.
+
+   Uses methods similar to the erfcx calculation above: continued fractions
+   for large |x|, a lookup table of Chebyshev polynomials for smaller |x|,
+   and finally a Taylor expansion for |x|<0.01.
+   
+   Steven G. Johnson, October 2012. */
+
+/* Given y100=100*y, where y = 1/(1+x) for x >= 0, compute w_im(x).
+
+   Uses a look-up table of 100 different Chebyshev polynomials
+   for y intervals [0,0.01], [0.01,0.02], ...., [0.99,1], generated
+   with the help of Maple and a little shell script.   This allows
+   the Chebyshev polynomials to be of significantly lower degree (about 1/30)
+   compared to fitting the whole [0,1] interval with a single polynomial. */
+static double w_im_y100(double y100, double x) {
+  switch ((int) y100) {
+    case 0: {
+      double t = 2*y100 - 1;
+      return 0.28351593328822191546e-2 + (0.28494783221378400759e-2 + (0.14427470563276734183e-4 + (0.10939723080231588129e-6 + (0.92474307943275042045e-9 + (0.89128907666450075245e-11 + 0.92974121935111111110e-13 * t) * t) * t) * t) * t) * t;
+    }
+    case 1: {
+      double t = 2*y100 - 3;
+      return 0.85927161243940350562e-2 + (0.29085312941641339862e-2 + (0.15106783707725582090e-4 + (0.11716709978531327367e-6 + (0.10197387816021040024e-8 + (0.10122678863073360769e-10 + 0.10917479678400000000e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 2: {
+      double t = 2*y100 - 5;
+      return 0.14471159831187703054e-1 + (0.29703978970263836210e-2 + (0.15835096760173030976e-4 + (0.12574803383199211596e-6 + (0.11278672159518415848e-8 + (0.11547462300333495797e-10 + 0.12894535335111111111e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 3: {
+      double t = 2*y100 - 7;
+      return 0.20476320420324610618e-1 + (0.30352843012898665856e-2 + (0.16617609387003727409e-4 + (0.13525429711163116103e-6 + (0.12515095552507169013e-8 + (0.13235687543603382345e-10 + 0.15326595042666666667e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 4: {
+      double t = 2*y100 - 9;
+      return 0.26614461952489004566e-1 + (0.31034189276234947088e-2 + (0.17460268109986214274e-4 + (0.14582130824485709573e-6 + (0.13935959083809746345e-8 + (0.15249438072998932900e-10 + 0.18344741882133333333e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 5: {
+      double t = 2*y100 - 11;
+      return 0.32892330248093586215e-1 + (0.31750557067975068584e-2 + (0.18369907582308672632e-4 + (0.15761063702089457882e-6 + (0.15577638230480894382e-8 + (0.17663868462699097951e-10 + (0.22126732680711111111e-12 + 0.30273474177737853668e-14 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 6: {
+      double t = 2*y100 - 13;
+      return 0.39317207681134336024e-1 + (0.32504779701937539333e-2 + (0.19354426046513400534e-4 + (0.17081646971321290539e-6 + (0.17485733959327106250e-8 + (0.20593687304921961410e-10 + (0.26917401949155555556e-12 + 0.38562123837725712270e-14 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 7: {
+      double t = 2*y100 - 15;
+      return 0.45896976511367738235e-1 + (0.33300031273110976165e-2 + (0.20423005398039037313e-4 + (0.18567412470376467303e-6 + (0.19718038363586588213e-8 + (0.24175006536781219807e-10 + (0.33059982791466666666e-12 + 0.49756574284439426165e-14 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 8: {
+      double t = 2*y100 - 17;
+      return 0.52640192524848962855e-1 + (0.34139883358846720806e-2 + (0.21586390240603337337e-4 + (0.20247136501568904646e-6 + (0.22348696948197102935e-8 + (0.28597516301950162548e-10 + (0.41045502119111111110e-12 + 0.65151614515238361946e-14 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 9: {
+      double t = 2*y100 - 19;
+      return 0.59556171228656770456e-1 + (0.35028374386648914444e-2 + (0.22857246150998562824e-4 + (0.22156372146525190679e-6 + (0.25474171590893813583e-8 + (0.34122390890697400584e-10 + (0.51593189879111111110e-12 + 0.86775076853908006938e-14 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 10: {
+      double t = 2*y100 - 21;
+      return 0.66655089485108212551e-1 + (0.35970095381271285568e-2 + (0.24250626164318672928e-4 + (0.24339561521785040536e-6 + (0.29221990406518411415e-8 + (0.41117013527967776467e-10 + (0.65786450716444444445e-12 + 0.11791885745450623331e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 11: {
+      double t = 2*y100 - 23;
+      return 0.73948106345519174661e-1 + (0.36970297216569341748e-2 + (0.25784588137312868792e-4 + (0.26853012002366752770e-6 + (0.33763958861206729592e-8 + (0.50111549981376976397e-10 + (0.85313857496888888890e-12 + 0.16417079927706899860e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 12: {
+      double t = 2*y100 - 25;
+      return 0.81447508065002963203e-1 + (0.38035026606492705117e-2 + (0.27481027572231851896e-4 + (0.29769200731832331364e-6 + (0.39336816287457655076e-8 + (0.61895471132038157624e-10 + (0.11292303213511111111e-11 + 0.23558532213703884304e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 13: {
+      double t = 2*y100 - 27;
+      return 0.89166884027582716628e-1 + (0.39171301322438946014e-2 + (0.29366827260422311668e-4 + (0.33183204390350724895e-6 + (0.46276006281647330524e-8 + (0.77692631378169813324e-10 + (0.15335153258844444444e-11 + 0.35183103415916026911e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 14: {
+      double t = 2*y100 - 29;
+      return 0.97121342888032322019e-1 + (0.40387340353207909514e-2 + (0.31475490395950776930e-4 + (0.37222714227125135042e-6 + (0.55074373178613809996e-8 + (0.99509175283990337944e-10 + (0.21552645758222222222e-11 + 0.55728651431872687605e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 15: {
+      double t = 2*y100 - 31;
+      return 0.10532778218603311137e0 + (0.41692873614065380607e-2 + (0.33849549774889456984e-4 + (0.42064596193692630143e-6 + (0.66494579697622432987e-8 + (0.13094103581931802337e-9 + (0.31896187409777777778e-11 + 0.97271974184476560742e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 16: {
+      double t = 2*y100 - 33;
+      return 0.11380523107427108222e0 + (0.43099572287871821013e-2 + (0.36544324341565929930e-4 + (0.47965044028581857764e-6 + (0.81819034238463698796e-8 + (0.17934133239549647357e-9 + (0.50956666166186293627e-11 + (0.18850487318190638010e-12 + 0.79697813173519853340e-14 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 17: {
+      double t = 2*y100 - 35;
+      return 0.12257529703447467345e0 + (0.44621675710026986366e-2 + (0.39634304721292440285e-4 + (0.55321553769873381819e-6 + (0.10343619428848520870e-7 + (0.26033830170470368088e-9 + (0.87743837749108025357e-11 + (0.34427092430230063401e-12 + 0.10205506615709843189e-13 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 18: {
+      double t = 2*y100 - 37;
+      return 0.13166276955656699478e0 + (0.46276970481783001803e-2 + (0.43225026380496399310e-4 + (0.64799164020016902656e-6 + (0.13580082794704641782e-7 + (0.39839800853954313927e-9 + (0.14431142411840000000e-10 + 0.42193457308830027541e-12 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 19: {
+      double t = 2*y100 - 39;
+      return 0.14109647869803356475e0 + (0.48088424418545347758e-2 + (0.47474504753352150205e-4 + (0.77509866468724360352e-6 + (0.18536851570794291724e-7 + (0.60146623257887570439e-9 + (0.18533978397305276318e-10 + (0.41033845938901048380e-13 - 0.46160680279304825485e-13 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 20: {
+      double t = 2*y100 - 41;
+      return 0.15091057940548936603e0 + (0.50086864672004685703e-2 + (0.52622482832192230762e-4 + (0.95034664722040355212e-6 + (0.25614261331144718769e-7 + (0.80183196716888606252e-9 + (0.12282524750534352272e-10 + (-0.10531774117332273617e-11 - 0.86157181395039646412e-13 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 21: {
+      double t = 2*y100 - 43;
+      return 0.16114648116017010770e0 + (0.52314661581655369795e-2 + (0.59005534545908331315e-4 + (0.11885518333915387760e-5 + (0.33975801443239949256e-7 + (0.82111547144080388610e-9 + (-0.12357674017312854138e-10 + (-0.24355112256914479176e-11 - 0.75155506863572930844e-13 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 22: {
+      double t = 2*y100 - 45;
+      return 0.17185551279680451144e0 + (0.54829002967599420860e-2 + (0.67013226658738082118e-4 + (0.14897400671425088807e-5 + (0.40690283917126153701e-7 + (0.44060872913473778318e-9 + (-0.52641873433280000000e-10 - 0.30940587864543343124e-11 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 23: {
+      double t = 2*y100 - 47;
+      return 0.18310194559815257381e0 + (0.57701559375966953174e-2 + (0.76948789401735193483e-4 + (0.18227569842290822512e-5 + (0.41092208344387212276e-7 + (-0.44009499965694442143e-9 + (-0.92195414685628803451e-10 + (-0.22657389705721753299e-11 + 0.10004784908106839254e-12 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 24: {
+      double t = 2*y100 - 49;
+      return 0.19496527191546630345e0 + (0.61010853144364724856e-2 + (0.88812881056342004864e-4 + (0.21180686746360261031e-5 + (0.30652145555130049203e-7 + (-0.16841328574105890409e-8 + (-0.11008129460612823934e-9 + (-0.12180794204544515779e-12 + 0.15703325634590334097e-12 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 25: {
+      double t = 2*y100 - 51;
+      return 0.20754006813966575720e0 + (0.64825787724922073908e-2 + (0.10209599627522311893e-3 + (0.22785233392557600468e-5 + (0.73495224449907568402e-8 + (-0.29442705974150112783e-8 + (-0.94082603434315016546e-10 + (0.23609990400179321267e-11 + 0.14141908654269023788e-12 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 26: {
+      double t = 2*y100 - 53;
+      return 0.22093185554845172146e0 + (0.69182878150187964499e-2 + (0.11568723331156335712e-3 + (0.22060577946323627739e-5 + (-0.26929730679360840096e-7 + (-0.38176506152362058013e-8 + (-0.47399503861054459243e-10 + (0.40953700187172127264e-11 + 0.69157730376118511127e-13 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 27: {
+      double t = 2*y100 - 55;
+      return 0.23524827304057813918e0 + (0.74063350762008734520e-2 + (0.12796333874615790348e-3 + (0.18327267316171054273e-5 + (-0.66742910737957100098e-7 + (-0.40204740975496797870e-8 + (0.14515984139495745330e-10 + (0.44921608954536047975e-11 - 0.18583341338983776219e-13 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 28: {
+      double t = 2*y100 - 57;
+      return 0.25058626331812744775e0 + (0.79377285151602061328e-2 + (0.13704268650417478346e-3 + (0.11427511739544695861e-5 + (-0.10485442447768377485e-6 + (-0.34850364756499369763e-8 + (0.72656453829502179208e-10 + (0.36195460197779299406e-11 - 0.84882136022200714710e-13 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 29: {
+      double t = 2*y100 - 59;
+      return 0.26701724900280689785e0 + (0.84959936119625864274e-2 + (0.14112359443938883232e-3 + (0.17800427288596909634e-6 + (-0.13443492107643109071e-6 + (-0.23512456315677680293e-8 + (0.11245846264695936769e-9 + (0.19850501334649565404e-11 - 0.11284666134635050832e-12 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 30: {
+      double t = 2*y100 - 61;
+      return 0.28457293586253654144e0 + (0.90581563892650431899e-2 + (0.13880520331140646738e-3 + (-0.97262302362522896157e-6 + (-0.15077100040254187366e-6 + (-0.88574317464577116689e-9 + (0.12760311125637474581e-9 + (0.20155151018282695055e-12 - 0.10514169375181734921e-12 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 31: {
+      double t = 2*y100 - 63;
+      return 0.30323425595617385705e0 + (0.95968346790597422934e-2 + (0.12931067776725883939e-3 + (-0.21938741702795543986e-5 + (-0.15202888584907373963e-6 + (0.61788350541116331411e-9 + (0.11957835742791248256e-9 + (-0.12598179834007710908e-11 - 0.75151817129574614194e-13 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 32: {
+      double t = 2*y100 - 65;
+      return 0.32292521181517384379e0 + (0.10082957727001199408e-1 + (0.11257589426154962226e-3 + (-0.33670890319327881129e-5 + (-0.13910529040004008158e-6 + (0.19170714373047512945e-8 + (0.94840222377720494290e-10 + (-0.21650018351795353201e-11 - 0.37875211678024922689e-13 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 33: {
+      double t = 2*y100 - 67;
+      return 0.34351233557911753862e0 + (0.10488575435572745309e-1 + (0.89209444197248726614e-4 + (-0.43893459576483345364e-5 + (-0.11488595830450424419e-6 + (0.28599494117122464806e-8 + (0.61537542799857777779e-10 - 0.24935749227658002212e-11 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 34: {
+      double t = 2*y100 - 69;
+      return 0.36480946642143669093e0 + (0.10789304203431861366e-1 + (0.60357993745283076834e-4 + (-0.51855862174130669389e-5 + (-0.83291664087289801313e-7 + (0.33898011178582671546e-8 + (0.27082948188277716482e-10 + (-0.23603379397408694974e-11 + 0.19328087692252869842e-13 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 35: {
+      double t = 2*y100 - 71;
+      return 0.38658679935694939199e0 + (0.10966119158288804999e-1 + (0.27521612041849561426e-4 + (-0.57132774537670953638e-5 + (-0.48404772799207914899e-7 + (0.35268354132474570493e-8 + (-0.32383477652514618094e-11 + (-0.19334202915190442501e-11 + 0.32333189861286460270e-13 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 36: {
+      double t = 2*y100 - 73;
+      return 0.40858275583808707870e0 + (0.11006378016848466550e-1 + (-0.76396376685213286033e-5 + (-0.59609835484245791439e-5 + (-0.13834610033859313213e-7 + (0.33406952974861448790e-8 + (-0.26474915974296612559e-10 + (-0.13750229270354351983e-11 + 0.36169366979417390637e-13 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 37: {
+      double t = 2*y100 - 75;
+      return 0.43051714914006682977e0 + (0.10904106549500816155e-1 + (-0.43477527256787216909e-4 + (-0.59429739547798343948e-5 + (0.17639200194091885949e-7 + (0.29235991689639918688e-8 + (-0.41718791216277812879e-10 + (-0.81023337739508049606e-12 + 0.33618915934461994428e-13 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 38: {
+      double t = 2*y100 - 77;
+      return 0.45210428135559607406e0 + (0.10659670756384400554e-1 + (-0.78488639913256978087e-4 + (-0.56919860886214735936e-5 + (0.44181850467477733407e-7 + (0.23694306174312688151e-8 + (-0.49492621596685443247e-10 + (-0.31827275712126287222e-12 + 0.27494438742721623654e-13 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 39: {
+      double t = 2*y100 - 79;
+      return 0.47306491195005224077e0 + (0.10279006119745977570e-1 + (-0.11140268171830478306e-3 + (-0.52518035247451432069e-5 + (0.64846898158889479518e-7 + (0.17603624837787337662e-8 + (-0.51129481592926104316e-10 + (0.62674584974141049511e-13 + 0.20055478560829935356e-13 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 40: {
+      double t = 2*y100 - 81;
+      return 0.49313638965719857647e0 + (0.97725799114772017662e-2 + (-0.14122854267291533334e-3 + (-0.46707252568834951907e-5 + (0.79421347979319449524e-7 + (0.11603027184324708643e-8 + (-0.48269605844397175946e-10 + (0.32477251431748571219e-12 + 0.12831052634143527985e-13 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 41: {
+      double t = 2*y100 - 83;
+      return 0.51208057433416004042e0 + (0.91542422354009224951e-2 + (-0.16726530230228647275e-3 + (-0.39964621752527649409e-5 + (0.88232252903213171454e-7 + (0.61343113364949928501e-9 + (-0.42516755603130443051e-10 + (0.47910437172240209262e-12 + 0.66784341874437478953e-14 * t) * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 42: {
+      double t = 2*y100 - 85;
+      return 0.52968945458607484524e0 + (0.84400880445116786088e-2 + (-0.18908729783854258774e-3 + (-0.32725905467782951931e-5 + (0.91956190588652090659e-7 + (0.14593989152420122909e-9 + (-0.35239490687644444445e-10 + 0.54613829888448694898e-12 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 43: {
+      double t = 2*y100 - 87;
+      return 0.54578857454330070965e0 + (0.76474155195880295311e-2 + (-0.20651230590808213884e-3 + (-0.25364339140543131706e-5 + (0.91455367999510681979e-7 + (-0.23061359005297528898e-9 + (-0.27512928625244444444e-10 + 0.54895806008493285579e-12 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 44: {
+      double t = 2*y100 - 89;
+      return 0.56023851910298493910e0 + (0.67938321739997196804e-2 + (-0.21956066613331411760e-3 + (-0.18181127670443266395e-5 + (0.87650335075416845987e-7 + (-0.51548062050366615977e-9 + (-0.20068462174044444444e-10 + 0.50912654909758187264e-12 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 45: {
+      double t = 2*y100 - 91;
+      return 0.57293478057455721150e0 + (0.58965321010394044087e-2 + (-0.22841145229276575597e-3 + (-0.11404605562013443659e-5 + (0.81430290992322326296e-7 + (-0.71512447242755357629e-9 + (-0.13372664928000000000e-10 + 0.44461498336689298148e-12 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 46: {
+      double t = 2*y100 - 93;
+      return 0.58380635448407827360e0 + (0.49717469530842831182e-2 + (-0.23336001540009645365e-3 + (-0.51952064448608850822e-6 + (0.73596577815411080511e-7 + (-0.84020916763091566035e-9 + (-0.76700972702222222221e-11 + 0.36914462807972467044e-12 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 47: {
+      double t = 2*y100 - 95;
+      return 0.59281340237769489597e0 + (0.40343592069379730568e-2 + (-0.23477963738658326185e-3 + (0.34615944987790224234e-7 + (0.64832803248395814574e-7 + (-0.90329163587627007971e-9 + (-0.30421940400000000000e-11 + 0.29237386653743536669e-12 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 48: {
+      double t = 2*y100 - 97;
+      return 0.59994428743114271918e0 + (0.30976579788271744329e-2 + (-0.23308875765700082835e-3 + (0.51681681023846925160e-6 + (0.55694594264948268169e-7 + (-0.91719117313243464652e-9 + (0.53982743680000000000e-12 + 0.22050829296187771142e-12 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 49: {
+      double t = 2*y100 - 99;
+      return 0.60521224471819875444e0 + (0.21732138012345456060e-2 + (-0.22872428969625997456e-3 + (0.92588959922653404233e-6 + (0.46612665806531930684e-7 + (-0.89393722514414153351e-9 + (0.31718550353777777778e-11 + 0.15705458816080549117e-12 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 50: {
+      double t = 2*y100 - 101;
+      return 0.60865189969791123620e0 + (0.12708480848877451719e-2 + (-0.22212090111534847166e-3 + (0.12636236031532793467e-5 + (0.37904037100232937574e-7 + (-0.84417089968101223519e-9 + (0.49843180828444444445e-11 + 0.10355439441049048273e-12 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 51: {
+      double t = 2*y100 - 103;
+      return 0.61031580103499200191e0 + (0.39867436055861038223e-3 + (-0.21369573439579869291e-3 + (0.15339402129026183670e-5 + (0.29787479206646594442e-7 + (-0.77687792914228632974e-9 + (0.61192452741333333334e-11 + 0.60216691829459295780e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 52: {
+      double t = 2*y100 - 105;
+      return 0.61027109047879835868e0 + (-0.43680904508059878254e-3 + (-0.20383783788303894442e-3 + (0.17421743090883439959e-5 + (0.22400425572175715576e-7 + (-0.69934719320045128997e-9 + (0.67152759655111111110e-11 + 0.26419960042578359995e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 53: {
+      double t = 2*y100 - 107;
+      return 0.60859639489217430521e0 + (-0.12305921390962936873e-2 + (-0.19290150253894682629e-3 + (0.18944904654478310128e-5 + (0.15815530398618149110e-7 + (-0.61726850580964876070e-9 + 0.68987888999111111110e-11 * t) * t) * t) * t) * t) * t;
+    }
+    case 54: {
+      double t = 2*y100 - 109;
+      return 0.60537899426486075181e0 + (-0.19790062241395705751e-2 + (-0.18120271393047062253e-3 + (0.19974264162313241405e-5 + (0.10055795094298172492e-7 + (-0.53491997919318263593e-9 + (0.67794550295111111110e-11 - 0.17059208095741511603e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 55: {
+      double t = 2*y100 - 111;
+      return 0.60071229457904110537e0 + (-0.26795676776166354354e-2 + (-0.16901799553627508781e-3 + (0.20575498324332621581e-5 + (0.51077165074461745053e-8 + (-0.45536079828057221858e-9 + (0.64488005516444444445e-11 - 0.29311677573152766338e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 56: {
+      double t = 2*y100 - 113;
+      return 0.59469361520112714738e0 + (-0.33308208190600993470e-2 + (-0.15658501295912405679e-3 + (0.20812116912895417272e-5 + (0.93227468760614182021e-9 + (-0.38066673740116080415e-9 + (0.59806790359111111110e-11 - 0.36887077278950440597e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 57: {
+      double t = 2*y100 - 115;
+      return 0.58742228631775388268e0 + (-0.39321858196059227251e-2 + (-0.14410441141450122535e-3 + (0.20743790018404020716e-5 + (-0.25261903811221913762e-8 + (-0.31212416519526924318e-9 + (0.54328422462222222221e-11 - 0.40864152484979815972e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 58: {
+      double t = 2*y100 - 117;
+      return 0.57899804200033018447e0 + (-0.44838157005618913447e-2 + (-0.13174245966501437965e-3 + (0.20425306888294362674e-5 + (-0.53330296023875447782e-8 + (-0.25041289435539821014e-9 + (0.48490437205333333334e-11 - 0.42162206939169045177e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 59: {
+      double t = 2*y100 - 119;
+      return 0.56951968796931245974e0 + (-0.49864649488074868952e-2 + (-0.11963416583477567125e-3 + (0.19906021780991036425e-5 + (-0.75580140299436494248e-8 + (-0.19576060961919820491e-9 + (0.42613011928888888890e-11 - 0.41539443304115604377e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 60: {
+      double t = 2*y100 - 121;
+      return 0.55908401930063918964e0 + (-0.54413711036826877753e-2 + (-0.10788661102511914628e-3 + (0.19229663322982839331e-5 + (-0.92714731195118129616e-8 + (-0.14807038677197394186e-9 + (0.36920870298666666666e-11 - 0.39603726688419162617e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 61: {
+      double t = 2*y100 - 123;
+      return 0.54778496152925675315e0 + (-0.58501497933213396670e-2 + (-0.96582314317855227421e-4 + (0.18434405235069270228e-5 + (-0.10541580254317078711e-7 + (-0.10702303407788943498e-9 + (0.31563175582222222222e-11 - 0.36829748079110481422e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 62: {
+      double t = 2*y100 - 125;
+      return 0.53571290831682823999e0 + (-0.62147030670760791791e-2 + (-0.85782497917111760790e-4 + (0.17553116363443470478e-5 + (-0.11432547349815541084e-7 + (-0.72157091369041330520e-10 + (0.26630811607111111111e-11 - 0.33578660425893164084e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 63: {
+      double t = 2*y100 - 127;
+      return 0.52295422962048434978e0 + (-0.65371404367776320720e-2 + (-0.75530164941473343780e-4 + (0.16613725797181276790e-5 + (-0.12003521296598910761e-7 + (-0.42929753689181106171e-10 + (0.22170894940444444444e-11 - 0.30117697501065110505e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 64: {
+      double t = 2*y100 - 129;
+      return 0.50959092577577886140e0 + (-0.68197117603118591766e-2 + (-0.65852936198953623307e-4 + (0.15639654113906716939e-5 + (-0.12308007991056524902e-7 + (-0.18761997536910939570e-10 + (0.18198628922666666667e-11 - 0.26638355362285200932e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 65: {
+      double t = 2*y100 - 131;
+      return 0.49570040481823167970e0 + (-0.70647509397614398066e-2 + (-0.56765617728962588218e-4 + (0.14650274449141448497e-5 + (-0.12393681471984051132e-7 + (0.92904351801168955424e-12 + (0.14706755960177777778e-11 - 0.23272455351266325318e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 66: {
+      double t = 2*y100 - 133;
+      return 0.48135536250935238066e0 + (-0.72746293327402359783e-2 + (-0.48272489495730030780e-4 + (0.13661377309113939689e-5 + (-0.12302464447599382189e-7 + (0.16707760028737074907e-10 + (0.11672928324444444444e-11 - 0.20105801424709924499e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 67: {
+      double t = 2*y100 - 135;
+      return 0.46662374675511439448e0 + (-0.74517177649528487002e-2 + (-0.40369318744279128718e-4 + (0.12685621118898535407e-5 + (-0.12070791463315156250e-7 + (0.29105507892605823871e-10 + (0.90653314645333333334e-12 - 0.17189503312102982646e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 68: {
+      double t = 2*y100 - 137;
+      return 0.45156879030168268778e0 + (-0.75983560650033817497e-2 + (-0.33045110380705139759e-4 + (0.11732956732035040896e-5 + (-0.11729986947158201869e-7 + (0.38611905704166441308e-10 + (0.68468768305777777779e-12 - 0.14549134330396754575e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 69: {
+      double t = 2*y100 - 139;
+      return 0.43624909769330896904e0 + (-0.77168291040309554679e-2 + (-0.26283612321339907756e-4 + (0.10811018836893550820e-5 + (-0.11306707563739851552e-7 + (0.45670446788529607380e-10 + (0.49782492549333333334e-12 - 0.12191983967561779442e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 70: {
+      double t = 2*y100 - 141;
+      return 0.42071877443548481181e0 + (-0.78093484015052730097e-2 + (-0.20064596897224934705e-4 + (0.99254806680671890766e-6 + (-0.10823412088884741451e-7 + (0.50677203326904716247e-10 + (0.34200547594666666666e-12 - 0.10112698698356194618e-13 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 71: {
+      double t = 2*y100 - 143;
+      return 0.40502758809710844280e0 + (-0.78780384460872937555e-2 + (-0.14364940764532853112e-4 + (0.90803709228265217384e-6 + (-0.10298832847014466907e-7 + (0.53981671221969478551e-10 + (0.21342751381333333333e-12 - 0.82975901848387729274e-14 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 72: {
+      double t = 2*y100 - 145;
+      return 0.38922115269731446690e0 + (-0.79249269708242064120e-2 + (-0.91595258799106970453e-5 + (0.82783535102217576495e-6 + (-0.97484311059617744437e-8 + (0.55889029041660225629e-10 + (0.10851981336888888889e-12 - 0.67278553237853459757e-14 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 73: {
+      double t = 2*y100 - 147;
+      return 0.37334112915460307335e0 + (-0.79519385109223148791e-2 + (-0.44219833548840469752e-5 + (0.75209719038240314732e-6 + (-0.91848251458553190451e-8 + (0.56663266668051433844e-10 + (0.23995894257777777778e-13 - 0.53819475285389344313e-14 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 74: {
+      double t = 2*y100 - 149;
+      return 0.35742543583374223085e0 + (-0.79608906571527956177e-2 + (-0.12530071050975781198e-6 + (0.68088605744900552505e-6 + (-0.86181844090844164075e-8 + (0.56530784203816176153e-10 + (-0.43120012248888888890e-13 - 0.42372603392496813810e-14 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 75: {
+      double t = 2*y100 - 151;
+      return 0.34150846431979618536e0 + (-0.79534924968773806029e-2 + (0.37576885610891515813e-5 + (0.61419263633090524326e-6 + (-0.80565865409945960125e-8 + (0.55684175248749269411e-10 + (-0.95486860764444444445e-13 - 0.32712946432984510595e-14 * t) * t) * t) * t) * t) * t) * t;
+    }
+    case 76: {
+      double t = 2*y100 - 153;
+      return 0.32562129649136346824e0 + (-0.79313448067948884309e-2 + (0.72539159933545300034e-5 + (0.55195028297415503083e-6 + (-0.75063365335570475258e-8 + (0.54281686749699595941e-10 - 0.13545424295111111111e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 77: {
+      double t = 2*y100 - 155;
+      return 0.30979191977078391864e0 + (-0.78959416264207333695e-2 + (0.10389774377677210794e-4 + (0.49404804463196316464e-6 + (-0.69722488229411164685e-8 + (0.52469254655951393842e-10 - 0.16507860650666666667e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 78: {
+      double t = 2*y100 - 157;
+      return 0.29404543811214459904e0 + (-0.78486728990364155356e-2 + (0.13190885683106990459e-4 + (0.44034158861387909694e-6 + (-0.64578942561562616481e-8 + (0.50354306498006928984e-10 - 0.18614473550222222222e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 79: {
+      double t = 2*y100 - 159;
+      return 0.27840427686253660515e0 + (-0.77908279176252742013e-2 + (0.15681928798708548349e-4 + (0.39066226205099807573e-6 + (-0.59658144820660420814e-8 + (0.48030086420373141763e-10 - 0.20018995173333333333e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 80: {
+      double t = 2*y100 - 161;
+      return 0.26288838011163800908e0 + (-0.77235993576119469018e-2 + (0.17886516796198660969e-4 + (0.34482457073472497720e-6 + (-0.54977066551955420066e-8 + (0.45572749379147269213e-10 - 0.20852924954666666667e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 81: {
+      double t = 2*y100 - 163;
+      return 0.24751539954181029717e0 + (-0.76480877165290370975e-2 + (0.19827114835033977049e-4 + (0.30263228619976332110e-6 + (-0.50545814570120129947e-8 + (0.43043879374212005966e-10 - 0.21228012028444444444e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 82: {
+      double t = 2*y100 - 165;
+      return 0.23230087411688914593e0 + (-0.75653060136384041587e-2 + (0.21524991113020016415e-4 + (0.26388338542539382413e-6 + (-0.46368974069671446622e-8 + (0.40492715758206515307e-10 - 0.21238627815111111111e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 83: {
+      double t = 2*y100 - 167;
+      return 0.21725840021297341931e0 + (-0.74761846305979730439e-2 + (0.23000194404129495243e-4 + (0.22837400135642906796e-6 + (-0.42446743058417541277e-8 + (0.37958104071765923728e-10 - 0.20963978568888888889e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 84: {
+      double t = 2*y100 - 169;
+      return 0.20239979200788191491e0 + (-0.73815761980493466516e-2 + (0.24271552727631854013e-4 + (0.19590154043390012843e-6 + (-0.38775884642456551753e-8 + (0.35470192372162901168e-10 - 0.20470131678222222222e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 85: {
+      double t = 2*y100 - 171;
+      return 0.18773523211558098962e0 + (-0.72822604530339834448e-2 + (0.25356688567841293697e-4 + (0.16626710297744290016e-6 + (-0.35350521468015310830e-8 + (0.33051896213898864306e-10 - 0.19811844544000000000e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 86: {
+      double t = 2*y100 - 173;
+      return 0.17327341258479649442e0 + (-0.71789490089142761950e-2 + (0.26272046822383820476e-4 + (0.13927732375657362345e-6 + (-0.32162794266956859603e-8 + (0.30720156036105652035e-10 - 0.19034196304000000000e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 87: {
+      double t = 2*y100 - 175;
+      return 0.15902166648328672043e0 + (-0.70722899934245504034e-2 + (0.27032932310132226025e-4 + (0.11474573347816568279e-6 + (-0.29203404091754665063e-8 + (0.28487010262547971859e-10 - 0.18174029063111111111e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 88: {
+      double t = 2*y100 - 177;
+      return 0.14498609036610283865e0 + (-0.69628725220045029273e-2 + (0.27653554229160596221e-4 + (0.92493727167393036470e-7 + (-0.26462055548683583849e-8 + (0.26360506250989943739e-10 - 0.17261211260444444444e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 89: {
+      double t = 2*y100 - 179;
+      return 0.13117165798208050667e0 + (-0.68512309830281084723e-2 + (0.28147075431133863774e-4 + (0.72351212437979583441e-7 + (-0.23927816200314358570e-8 + (0.24345469651209833155e-10 - 0.16319736960000000000e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 90: {
+      double t = 2*y100 - 181;
+      return 0.11758232561160626306e0 + (-0.67378491192463392927e-2 + (0.28525664781722907847e-4 + (0.54156999310046790024e-7 + (-0.21589405340123827823e-8 + (0.22444150951727334619e-10 - 0.15368675584000000000e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 91: {
+      double t = 2*y100 - 183;
+      return 0.10422112945361673560e0 + (-0.66231638959845581564e-2 + (0.28800551216363918088e-4 + (0.37758983397952149613e-7 + (-0.19435423557038933431e-8 + (0.20656766125421362458e-10 - 0.14422990012444444444e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 92: {
+      double t = 2*y100 - 185;
+      return 0.91090275493541084785e-1 + (-0.65075691516115160062e-2 + (0.28982078385527224867e-4 + (0.23014165807643012781e-7 + (-0.17454532910249875958e-8 + (0.18981946442680092373e-10 - 0.13494234691555555556e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 93: {
+      double t = 2*y100 - 187;
+      return 0.78191222288771379358e-1 + (-0.63914190297303976434e-2 + (0.29079759021299682675e-4 + (0.97885458059415717014e-8 + (-0.15635596116134296819e-8 + (0.17417110744051331974e-10 - 0.12591151763555555556e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 94: {
+      double t = 2*y100 - 189;
+      return 0.65524757106147402224e-1 + (-0.62750311956082444159e-2 + (0.29102328354323449795e-4 + (-0.20430838882727954582e-8 + (-0.13967781903855367270e-8 + (0.15958771833747057569e-10 - 0.11720175765333333333e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 95: {
+      double t = 2*y100 - 191;
+      return 0.53091065838453612773e-1 + (-0.61586898417077043662e-2 + (0.29057796072960100710e-4 + (-0.12597414620517987536e-7 + (-0.12440642607426861943e-8 + (0.14602787128447932137e-10 - 0.10885859114666666667e-12 * t) * t) * t) * t) * t) * t;
+    }
+    case 96: {
+      double t = 2*y100 - 193;
+      return 0.40889797115352738582e-1 + (-0.60426484889413678200e-2 + (0.28953496450191694606e-4 + (-0.21982952021823718400e-7 + (-0.11044169117553026211e-8 + (0.13344562332430552171e-10 - 0.10091231402844444444e-12 * t) * t) * t) * t) * t) * t;
+    }
+  case 97: case 98:
+  case 99: case 100: { // use Taylor expansion for small x (|x| <= 0.0309...)
+      //  (2/sqrt(pi)) * (x - 2/3 x^3  + 4/15 x^5  - 8/105 x^7 + 16/945 x^9) 
+      double x2 = x*x;
+      return x * (1.1283791670955125739
+                  - x2 * (0.75225277806367504925
+                          - x2 * (0.30090111122547001970
+                                  - x2 * (0.085971746064420005629
+                                          - x2 * 0.016931216931216931217))));
+    }
+  }
+  /* Since 0 <= y100 < 101, this is only reached if x is NaN,
+     in which case we should return NaN. */
+  return NaN;
+}
+
+double FADDEEVA(w_im)(double x)
+{
+  if (x >= 0) {
+    if (x > 45) { // continued-fraction expansion is faster
+      const double ispi = 0.56418958354775628694807945156; // 1 / sqrt(pi)
+      if (x > 5e7) // 1-term expansion, important to avoid overflow
+        return ispi / x;
+      /* 5-term expansion (rely on compiler for CSE), simplified from:
+                ispi / (x-0.5/(x-1/(x-1.5/(x-2/x))))  */
+      return ispi*((x*x) * (x*x-4.5) + 2) / (x * ((x*x) * (x*x-5) + 3.75));
+    }
+    return w_im_y100(100/(1+x), x);
+  }
+  else { // = -FADDEEVA(w_im)(-x)
+    if (x < -45) { // continued-fraction expansion is faster
+      const double ispi = 0.56418958354775628694807945156; // 1 / sqrt(pi)
+      if (x < -5e7) // 1-term expansion, important to avoid overflow
+        return ispi / x;
+      /* 5-term expansion (rely on compiler for CSE), simplified from:
+                ispi / (x-0.5/(x-1/(x-1.5/(x-2/x))))  */
+      return ispi*((x*x) * (x*x-4.5) + 2) / (x * ((x*x) * (x*x-5) + 3.75));
+    }
+    return -w_im_y100(100/(1-x), -x);
+  }
+}
+
+/////////////////////////////////////////////////////////////////////////
+
+// Compile with -DTEST_FADDEEVA to compile a little test program
+#ifdef TEST_FADDEEVA
+
+#ifdef __cplusplus
+#  include <cstdio>
+#else
+#  include <stdio.h>
+#endif
+
+// compute relative error |b-a|/|a|, handling case of NaN and Inf,
+static double relerr(double a, double b) {
+  if (isnan(a) || isnan(b) || isinf(a) || isinf(b)) {
+    if ((isnan(a) && !isnan(b)) || (!isnan(a) && isnan(b)) ||
+        (isinf(a) && !isinf(b)) || (!isinf(a) && isinf(b)) ||
+        (isinf(a) && isinf(b) && a*b < 0))
+      return Inf; // "infinite" error
+    return 0; // matching infinity/nan results counted as zero error
+  }
+  if (a == 0)
+    return b == 0 ? 0 : Inf;
+  else
+    return fabs((b-a) / a);
+}
+
+int main(void) {
+  double errmax_all = 0;
+  {
+    printf("############# w(z) tests #############\n");
+#define NTST 57 // define instead of const for C compatibility
+    cmplx z[NTST] = {
+      C(624.2,-0.26123),
+      C(-0.4,3.),
+      C(0.6,2.),
+      C(-1.,1.),
+      C(-1.,-9.),
+      C(-1.,9.),
+      C(-0.0000000234545,1.1234),
+      C(-3.,5.1),
+      C(-53,30.1),
+      C(0.0,0.12345),
+      C(11,1),
+      C(-22,-2),
+      C(9,-28),
+      C(21,-33),
+      C(1e5,1e5),
+      C(1e14,1e14),
+      C(-3001,-1000),
+      C(1e160,-1e159),
+      C(-6.01,0.01),
+      C(-0.7,-0.7),
+      C(2.611780000000000e+01, 4.540909610972489e+03),
+      C(0.8e7,0.3e7),
+      C(-20,-19.8081),
+      C(1e-16,-1.1e-16),
+      C(2.3e-8,1.3e-8),
+      C(6.3,-1e-13),
+      C(6.3,1e-20),
+      C(1e-20,6.3),
+      C(1e-20,16.3),
+      C(9,1e-300),
+      C(6.01,0.11),
+      C(8.01,1.01e-10),
+      C(28.01,1e-300),
+      C(10.01,1e-200),
+      C(10.01,-1e-200),
+      C(10.01,0.99e-10),
+      C(10.01,-0.99e-10),
+      C(1e-20,7.01),
+      C(-1,7.01),
+      C(5.99,7.01),
+      C(1,0),
+      C(55,0),
+      C(-0.1,0),
+      C(1e-20,0),
+      C(0,5e-14),
+      C(0,51),
+      C(Inf,0),
+      C(-Inf,0),
+      C(0,Inf),
+      C(0,-Inf),
+      C(Inf,Inf),
+      C(Inf,-Inf),
+      C(NaN,NaN),
+      C(NaN,0),
+      C(0,NaN),
+      C(NaN,Inf),
+      C(Inf,NaN)
+    };
+    cmplx w[NTST] = { /* w(z), computed with WolframAlpha
+                                   ... note that WolframAlpha is problematic
+                                   some of the above inputs, so I had to
+                                   use the continued-fraction expansion
+                                   in WolframAlpha in some cases, or switch
+                                   to Maple */
+      C(-3.78270245518980507452677445620103199303131110e-7,
+        0.000903861276433172057331093754199933411710053155),
+      C(0.1764906227004816847297495349730234591778719532788,
+        -0.02146550539468457616788719893991501311573031095617),
+      C(0.2410250715772692146133539023007113781272362309451,
+        0.06087579663428089745895459735240964093522265589350),
+      C(0.30474420525691259245713884106959496013413834051768,
+        -0.20821893820283162728743734725471561394145872072738),
+      C(7.317131068972378096865595229600561710140617977e34,
+        8.321873499714402777186848353320412813066170427e34),
+      C(0.0615698507236323685519612934241429530190806818395,
+        -0.00676005783716575013073036218018565206070072304635),
+      C(0.3960793007699874918961319170187598400134746631,
+        -5.593152259116644920546186222529802777409274656e-9),
+      C(0.08217199226739447943295069917990417630675021771804,
+        -0.04701291087643609891018366143118110965272615832184),
+      C(0.00457246000350281640952328010227885008541748668738,
+        -0.00804900791411691821818731763401840373998654987934),
+      C(0.8746342859608052666092782112565360755791467973338452,
+        0.),
+      C(0.00468190164965444174367477874864366058339647648741,
+        0.0510735563901306197993676329845149741675029197050),
+      C(-0.0023193175200187620902125853834909543869428763219,
+        -0.025460054739731556004902057663500272721780776336),
+      C(9.11463368405637174660562096516414499772662584e304,
+        3.97101807145263333769664875189354358563218932e305),
+      C(-4.4927207857715598976165541011143706155432296e281,
+        -2.8019591213423077494444700357168707775769028e281),
+      C(2.820947917809305132678577516325951485807107151e-6,
+        2.820947917668257736791638444590253942253354058e-6),
+      C(2.82094791773878143474039725787438662716372268e-15,
+        2.82094791773878143474039725773333923127678361e-15),
+      C(-0.0000563851289696244350147899376081488003110150498,
+        -0.000169211755126812174631861529808288295454992688),
+      C(-5.586035480670854326218608431294778077663867e-162,
+        5.586035480670854326218608431294778077663867e-161),
+      C(0.00016318325137140451888255634399123461580248456,
+        -0.095232456573009287370728788146686162555021209999),
+      C(0.69504753678406939989115375989939096800793577783885,
+        -1.8916411171103639136680830887017670616339912024317),
+      C(0.0001242418269653279656612334210746733213167234822,
+        7.145975826320186888508563111992099992116786763e-7),
+      C(2.318587329648353318615800865959225429377529825e-8,
+        6.182899545728857485721417893323317843200933380e-8),
+      C(-0.0133426877243506022053521927604277115767311800303,
+        -0.0148087097143220769493341484176979826888871576145),
+      C(1.00000000000000012412170838050638522857747934,
+        1.12837916709551279389615890312156495593616433e-16),
+      C(0.9999999853310704677583504063775310832036830015,
+        2.595272024519678881897196435157270184030360773e-8),
+      C(-1.4731421795638279504242963027196663601154624e-15,
+        0.090727659684127365236479098488823462473074709),
+      C(5.79246077884410284575834156425396800754409308e-18,
+        0.0907276596841273652364790985059772809093822374),
+      C(0.0884658993528521953466533278764830881245144368,
+        1.37088352495749125283269718778582613192166760e-22),
+      C(0.0345480845419190424370085249304184266813447878,
+        2.11161102895179044968099038990446187626075258e-23),
+      C(6.63967719958073440070225527042829242391918213e-36,
+        0.0630820900592582863713653132559743161572639353),
+      C(0.00179435233208702644891092397579091030658500743634,
+        0.0951983814805270647939647438459699953990788064762),
+      C(9.09760377102097999924241322094863528771095448e-13,
+        0.0709979210725138550986782242355007611074966717),
+      C(7.2049510279742166460047102593255688682910274423e-304,
+        0.0201552956479526953866611812593266285000876784321),
+      C(3.04543604652250734193622967873276113872279682e-44,
+        0.0566481651760675042930042117726713294607499165),
+      C(3.04543604652250734193622967873276113872279682e-44,
+        0.0566481651760675042930042117726713294607499165),
+      C(0.5659928732065273429286988428080855057102069081e-12,
+        0.056648165176067504292998527162143030538756683302),
+      C(-0.56599287320652734292869884280802459698927645e-12,
+        0.0566481651760675042929985271621430305387566833029),
+      C(0.0796884251721652215687859778119964009569455462,
+        1.11474461817561675017794941973556302717225126e-22),
+      C(0.07817195821247357458545539935996687005781943386550,
+        -0.01093913670103576690766705513142246633056714279654),
+      C(0.04670032980990449912809326141164730850466208439937,
+        0.03944038961933534137558064191650437353429669886545),
+      C(0.36787944117144232159552377016146086744581113103176,
+        0.60715770584139372911503823580074492116122092866515),
+      C(0,
+        0.010259688805536830986089913987516716056946786526145),
+      C(0.99004983374916805357390597718003655777207908125383,
+        -0.11208866436449538036721343053869621153527769495574),
+      C(0.99999999999999999999999999999999999999990000,
+        1.12837916709551257389615890312154517168802603e-20),
+      C(0.999999999999943581041645226871305192054749891144158,
+        0),
+      C(0.0110604154853277201542582159216317923453996211744250,
+        0),
+      C(0,0),
+      C(0,0),
+      C(0,0),
+      C(Inf,0),
+      C(0,0),
+      C(NaN,NaN),
+      C(NaN,NaN),
+      C(NaN,NaN),
+      C(NaN,0),
+      C(NaN,NaN),
+      C(NaN,NaN)
+    };
+    double errmax = 0;
+    for (int i = 0; i < NTST; ++i) {
+      cmplx fw = FADDEEVA(w)(z[i],0.);
+      double re_err = relerr(creal(w[i]), creal(fw));
+      double im_err = relerr(cimag(w[i]), cimag(fw));
+      printf("w(%g%+gi) = %g%+gi (vs. %g%+gi), re/im rel. err. = %0.2g/%0.2g)\n",
+             creal(z[i]),cimag(z[i]), creal(fw),cimag(fw), creal(w[i]),cimag(w[i]),
+             re_err, im_err);
+      if (re_err > errmax) errmax = re_err;
+      if (im_err > errmax) errmax = im_err;
+    }
+    if (errmax > 1e-13) {
+      printf("FAILURE -- relative error %g too large!\n", errmax);
+      return 1;
+    }
+    printf("SUCCESS (max relative error = %g)\n", errmax);
+    if (errmax > errmax_all) errmax_all = errmax;
+  }
+  {
+#undef NTST
+#define NTST 41 // define instead of const for C compatibility
+    cmplx z[NTST] = {
+      C(1,2),
+      C(-1,2),
+      C(1,-2),
+      C(-1,-2),
+      C(9,-28),
+      C(21,-33),
+      C(1e3,1e3),
+      C(-3001,-1000),
+      C(1e160,-1e159),
+      C(5.1e-3, 1e-8),
+      C(-4.9e-3, 4.95e-3),
+      C(4.9e-3, 0.5),
+      C(4.9e-4, -0.5e1),
+      C(-4.9e-5, -0.5e2),
+      C(5.1e-3, 0.5),
+      C(5.1e-4, -0.5e1),
+      C(-5.1e-5, -0.5e2),
+      C(1e-6,2e-6),
+      C(0,2e-6),
+      C(0,2),
+      C(0,20),
+      C(0,200),
+      C(Inf,0),
+      C(-Inf,0),
+      C(0,Inf),
+      C(0,-Inf),
+      C(Inf,Inf),
+      C(Inf,-Inf),
+      C(NaN,NaN),
+      C(NaN,0),
+      C(0,NaN),
+      C(NaN,Inf),
+      C(Inf,NaN),
+      C(1e-3,NaN),
+      C(7e-2,7e-2),
+      C(7e-2,-7e-4),
+      C(-9e-2,7e-4),
+      C(-9e-2,9e-2),
+      C(-7e-4,9e-2),
+      C(7e-2,0.9e-2),
+      C(7e-2,1.1e-2)
+    };
+    cmplx w[NTST] = { // erf(z[i]), evaluated with Maple
+      C(-0.5366435657785650339917955593141927494421,
+        -5.049143703447034669543036958614140565553),
+      C(0.5366435657785650339917955593141927494421,
+        -5.049143703447034669543036958614140565553),
+      C(-0.5366435657785650339917955593141927494421,
+        5.049143703447034669543036958614140565553),
+      C(0.5366435657785650339917955593141927494421,
+        5.049143703447034669543036958614140565553),
+      C(0.3359473673830576996788000505817956637777e304,
+        -0.1999896139679880888755589794455069208455e304),
+      C(0.3584459971462946066523939204836760283645e278,
+        0.3818954885257184373734213077678011282505e280),
+      C(0.9996020422657148639102150147542224526887,
+        0.00002801044116908227889681753993542916894856),
+      C(-1, 0),
+      C(1, 0),
+      C(0.005754683859034800134412990541076554934877,
+        0.1128349818335058741511924929801267822634e-7),
+      C(-0.005529149142341821193633460286828381876955,
+        0.005585388387864706679609092447916333443570),
+      C(0.007099365669981359632319829148438283865814,
+        0.6149347012854211635026981277569074001219),
+      C(0.3981176338702323417718189922039863062440e8,
+        -0.8298176341665249121085423917575122140650e10),
+      C(-Inf,
+        -Inf),
+      C(0.007389128308257135427153919483147229573895,
+        0.6149332524601658796226417164791221815139),
+      C(0.4143671923267934479245651547534414976991e8,
+        -0.8298168216818314211557046346850921446950e10),
+      C(-Inf,
+        -Inf),
+      C(0.1128379167099649964175513742247082845155e-5,
+        0.2256758334191777400570377193451519478895e-5),
+      C(0,
+        0.2256758334194034158904576117253481476197e-5),
+      C(0,
+        18.56480241457555259870429191324101719886),
+      C(0,
+        0.1474797539628786202447733153131835124599e173),
+      C(0,
+        Inf),
+      C(1,0),
+      C(-1,0),
+      C(0,Inf),
+      C(0,-Inf),
+      C(NaN,NaN),
+      C(NaN,NaN),
+      C(NaN,NaN),
+      C(NaN,0),
+      C(0,NaN),
+      C(NaN,NaN),
+      C(NaN,NaN),
+      C(NaN,NaN),
+      C(0.07924380404615782687930591956705225541145,
+        0.07872776218046681145537914954027729115247),
+      C(0.07885775828512276968931773651224684454495,
+        -0.0007860046704118224342390725280161272277506),
+      C(-0.1012806432747198859687963080684978759881,
+        0.0007834934747022035607566216654982820299469),
+      C(-0.1020998418798097910247132140051062512527,
+        0.1010030778892310851309082083238896270340),
+      C(-0.0007962891763147907785684591823889484764272,
+        0.1018289385936278171741809237435404896152),
+      C(0.07886408666470478681566329888615410479530,
+        0.01010604288780868961492224347707949372245),
+      C(0.07886723099940260286824654364807981336591,
+        0.01235199327873258197931147306290916629654)
+    };
+#define TST(f,isc)                                                      \
+    printf("############# " #f "(z) tests #############\n");            \
+    double errmax = 0;                                                  \
+    for (int i = 0; i < NTST; ++i) {                                    \
+      cmplx fw = FADDEEVA(f)(z[i],0.);                  \
+      double re_err = relerr(creal(w[i]), creal(fw));                   \
+      double im_err = relerr(cimag(w[i]), cimag(fw));                   \
+      printf(#f "(%g%+gi) = %g%+gi (vs. %g%+gi), re/im rel. err. = %0.2g/%0.2g)\n", \
+             creal(z[i]),cimag(z[i]), creal(fw),cimag(fw), creal(w[i]),cimag(w[i]), \
+             re_err, im_err);                                           \
+      if (re_err > errmax) errmax = re_err;                             \
+      if (im_err > errmax) errmax = im_err;                             \
+    }                                                                   \
+    if (errmax > 1e-13) {                                               \
+      printf("FAILURE -- relative error %g too large!\n", errmax);      \
+      return 1;                                                         \
+    }                                                                   \
+    printf("Checking " #f "(x) special case...\n");                     \
+    for (int i = 0; i < 10000; ++i) {                                   \
+      double x = pow(10., -300. + i * 600. / (10000 - 1));              \
+      double re_err = relerr(FADDEEVA_RE(f)(x),                         \
+                             creal(FADDEEVA(f)(C(x,x*isc),0.)));        \
+      if (re_err > errmax) errmax = re_err;                             \
+      re_err = relerr(FADDEEVA_RE(f)(-x),                               \
+                      creal(FADDEEVA(f)(C(-x,x*isc),0.)));              \
+      if (re_err > errmax) errmax = re_err;                             \
+    }                                                                   \
+    {                                                                   \
+      double re_err = relerr(FADDEEVA_RE(f)(Inf),                       \
+                             creal(FADDEEVA(f)(C(Inf,0.),0.))); \
+      if (re_err > errmax) errmax = re_err;                             \
+      re_err = relerr(FADDEEVA_RE(f)(-Inf),                             \
+                      creal(FADDEEVA(f)(C(-Inf,0.),0.)));               \
+      if (re_err > errmax) errmax = re_err;                             \
+      re_err = relerr(FADDEEVA_RE(f)(NaN),                              \
+                      creal(FADDEEVA(f)(C(NaN,0.),0.)));                \
+      if (re_err > errmax) errmax = re_err;                             \
+    }                                                                   \
+    if (errmax > 1e-13) {                                               \
+      printf("FAILURE -- relative error %g too large!\n", errmax);      \
+      return 1;                                                         \
+    }                                                                   \
+    printf("SUCCESS (max relative error = %g)\n", errmax);              \
+    if (errmax > errmax_all) errmax_all = errmax
+
+    TST(erf, 1e-20);
+  }
+  {
+    // since erfi just calls through to erf, just one test should
+    // be sufficient to make sure I didn't screw up the signs or something
+#undef NTST
+#define NTST 1 // define instead of const for C compatibility
+    cmplx z[NTST] = { C(1.234,0.5678) };
+    cmplx w[NTST] = { // erfi(z[i]), computed with Maple
+      C(1.081032284405373149432716643834106923212,
+        1.926775520840916645838949402886591180834)
+    };
+    TST(erfi, 0);
+  }
+  {
+    // since erfcx just calls through to w, just one test should
+    // be sufficient to make sure I didn't screw up the signs or something
+#undef NTST
+#define NTST 1 // define instead of const for C compatibility
+    cmplx z[NTST] = { C(1.234,0.5678) };
+    cmplx w[NTST] = { // erfcx(z[i]), computed with Maple
+      C(0.3382187479799972294747793561190487832579,
+        -0.1116077470811648467464927471872945833154)
+    };
+    TST(erfcx, 0);
+  }
+  {
+#undef NTST
+#define NTST 30 // define instead of const for C compatibility
+    cmplx z[NTST] = {
+      C(1,2),
+      C(-1,2),
+      C(1,-2),
+      C(-1,-2),
+      C(9,-28),
+      C(21,-33),
+      C(1e3,1e3),
+      C(-3001,-1000),
+      C(1e160,-1e159),
+      C(5.1e-3, 1e-8),
+      C(0,2e-6),
+      C(0,2),
+      C(0,20),
+      C(0,200),
+      C(2e-6,0),
+      C(2,0),
+      C(20,0),
+      C(200,0),
+      C(Inf,0),
+      C(-Inf,0),
+      C(0,Inf),
+      C(0,-Inf),
+      C(Inf,Inf),
+      C(Inf,-Inf),
+      C(NaN,NaN),
+      C(NaN,0),
+      C(0,NaN),
+      C(NaN,Inf),
+      C(Inf,NaN),
+      C(88,0)
+    };
+    cmplx w[NTST] = { // erfc(z[i]), evaluated with Maple
+      C(1.536643565778565033991795559314192749442,
+        5.049143703447034669543036958614140565553),
+      C(0.4633564342214349660082044406858072505579,
+        5.049143703447034669543036958614140565553),
+      C(1.536643565778565033991795559314192749442,
+        -5.049143703447034669543036958614140565553),
+      C(0.4633564342214349660082044406858072505579,
+        -5.049143703447034669543036958614140565553),
+      C(-0.3359473673830576996788000505817956637777e304,
+        0.1999896139679880888755589794455069208455e304),
+      C(-0.3584459971462946066523939204836760283645e278,
+        -0.3818954885257184373734213077678011282505e280),
+      C(0.0003979577342851360897849852457775473112748,
+        -0.00002801044116908227889681753993542916894856),
+      C(2, 0),
+      C(0, 0),
+      C(0.9942453161409651998655870094589234450651,
+        -0.1128349818335058741511924929801267822634e-7),
+      C(1,
+        -0.2256758334194034158904576117253481476197e-5),
+      C(1,
+        -18.56480241457555259870429191324101719886),
+      C(1,
+        -0.1474797539628786202447733153131835124599e173),
+      C(1, -Inf),
+      C(0.9999977432416658119838633199332831406314,
+        0),
+      C(0.004677734981047265837930743632747071389108,
+        0),
+      C(0.5395865611607900928934999167905345604088e-175,
+        0),
+      C(0, 0),
+      C(0, 0),
+      C(2, 0),
+      C(1, -Inf),
+      C(1, Inf),
+      C(NaN, NaN),
+      C(NaN, NaN),
+      C(NaN, NaN),
+      C(NaN, 0),
+      C(1, NaN),
+      C(NaN, NaN),
+      C(NaN, NaN),
+      C(0,0)
+    };
+    TST(erfc, 1e-20);
+  }
+  {
+#undef NTST
+#define NTST 48 // define instead of const for C compatibility
+    cmplx z[NTST] = {
+      C(2,1),
+      C(-2,1),
+      C(2,-1),
+      C(-2,-1),
+      C(-28,9),
+      C(33,-21),
+      C(1e3,1e3),
+      C(-1000,-3001),
+      C(1e-8, 5.1e-3),
+      C(4.95e-3, -4.9e-3),
+      C(5.1e-3, 5.1e-3),
+      C(0.5, 4.9e-3),
+      C(-0.5e1, 4.9e-4),
+      C(-0.5e2, -4.9e-5),
+      C(0.5e3, 4.9e-6),
+      C(0.5, 5.1e-3),
+      C(-0.5e1, 5.1e-4),
+      C(-0.5e2, -5.1e-5),
+      C(1e-6,2e-6),
+      C(2e-6,0),
+      C(2,0),
+      C(20,0),
+      C(200,0),
+      C(0,4.9e-3),
+      C(0,-5.1e-3),
+      C(0,2e-6),
+      C(0,-2),
+      C(0,20),
+      C(0,-200),
+      C(Inf,0),
+      C(-Inf,0),
+      C(0,Inf),
+      C(0,-Inf),
+      C(Inf,Inf),
+      C(Inf,-Inf),
+      C(NaN,NaN),
+      C(NaN,0),
+      C(0,NaN),
+      C(NaN,Inf),
+      C(Inf,NaN),
+      C(39, 6.4e-5),
+      C(41, 6.09e-5),
+      C(4.9e7, 5e-11),
+      C(5.1e7, 4.8e-11),
+      C(1e9, 2.4e-12),
+      C(1e11, 2.4e-14),
+      C(1e13, 2.4e-16),
+      C(1e300, 2.4e-303)
+    };
+    cmplx w[NTST] = { // dawson(z[i]), evaluated with Maple
+      C(0.1635394094345355614904345232875688576839,
+        -0.1531245755371229803585918112683241066853),
+      C(-0.1635394094345355614904345232875688576839,
+        -0.1531245755371229803585918112683241066853),
+      C(0.1635394094345355614904345232875688576839,
+        0.1531245755371229803585918112683241066853),
+      C(-0.1635394094345355614904345232875688576839,
+        0.1531245755371229803585918112683241066853),
+      C(-0.01619082256681596362895875232699626384420,
+        -0.005210224203359059109181555401330902819419),
+      C(0.01078377080978103125464543240346760257008,
+        0.006866888783433775382193630944275682670599),
+      C(-0.5808616819196736225612296471081337245459,
+        0.6688593905505562263387760667171706325749),
+      C(Inf,
+        -Inf),
+      C(0.1000052020902036118082966385855563526705e-7,
+        0.005100088434920073153418834680320146441685),
+      C(0.004950156837581592745389973960217444687524,
+        -0.004899838305155226382584756154100963570500),
+      C(0.005100176864319675957314822982399286703798,
+        0.005099823128319785355949825238269336481254),
+      C(0.4244534840871830045021143490355372016428,
+        0.002820278933186814021399602648373095266538),
+      C(-0.1021340733271046543881236523269967674156,
+        -0.00001045696456072005761498961861088944159916),
+      C(-0.01000200120119206748855061636187197886859,
+        0.9805885888237419500266621041508714123763e-8),
+      C(0.001000002000012000023960527532953151819595,
+        -0.9800058800588007290937355024646722133204e-11),
+      C(0.4244549085628511778373438768121222815752,
+        0.002935393851311701428647152230552122898291),
+      C(-0.1021340732357117208743299813648493928105,
+        -0.00001088377943049851799938998805451564893540),
+      C(-0.01000200120119126652710792390331206563616,
+        0.1020612612857282306892368985525393707486e-7),
+      C(0.1000000000007333333333344266666666664457e-5,
+        0.2000000000001333333333323199999999978819e-5),
+      C(0.1999999999994666666666675199999999990248e-5,
+        0),
+      C(0.3013403889237919660346644392864226952119,
+        0),
+      C(0.02503136792640367194699495234782353186858,
+        0),
+      C(0.002500031251171948248596912483183760683918,
+        0),
+      C(0,0.004900078433419939164774792850907128053308),
+      C(0,-0.005100088434920074173454208832365950009419),
+      C(0,0.2000000000005333333333341866666666676419e-5),
+      C(0,-48.16001211429122974789822893525016528191),
+      C(0,0.4627407029504443513654142715903005954668e174),
+      C(0,-Inf),
+      C(0,0),
+      C(-0,0),
+      C(0, Inf),
+      C(0, -Inf),
+      C(NaN, NaN),
+      C(NaN, NaN),
+      C(NaN, NaN),
+      C(NaN, 0),
+      C(0, NaN),
+      C(NaN, NaN),
+      C(NaN, NaN),
+      C(0.01282473148489433743567240624939698290584,
+        -0.2105957276516618621447832572909153498104e-7),
+      C(0.01219875253423634378984109995893708152885,
+        -0.1813040560401824664088425926165834355953e-7),
+      C(0.1020408163265306334945473399689037886997e-7,
+        -0.1041232819658476285651490827866174985330e-25),
+      C(0.9803921568627452865036825956835185367356e-8,
+        -0.9227220299884665067601095648451913375754e-26),
+      C(0.5000000000000000002500000000000000003750e-9,
+        -0.1200000000000000001800000188712838420241e-29),
+      C(5.00000000000000000000025000000000000000000003e-12,
+        -1.20000000000000000000018000000000000000000004e-36),
+      C(5.00000000000000000000000002500000000000000000e-14,
+        -1.20000000000000000000000001800000000000000000e-42),
+      C(5e-301, 0)
+    };
+    TST(Dawson, 1e-20);
+  }
+  printf("#####################################\n");
+  printf("SUCCESS (max relative error = %g)\n", errmax_all);
+}
+
+#endif
diff --git a/src/Faddeeva.h b/src/Faddeeva.h
new file mode 100644
index 0000000000..4293861907
--- /dev/null
+++ b/src/Faddeeva.h
@@ -0,0 +1,68 @@
+/* Copyright (c) 2012 Massachusetts Institute of Technology
+ * 
+ * Permission is hereby granted, free of charge, to any person obtaining
+ * a copy of this software and associated documentation files (the
+ * "Software"), to deal in the Software without restriction, including
+ * without limitation the rights to use, copy, modify, merge, publish,
+ * distribute, sublicense, and/or sell copies of the Software, and to
+ * permit persons to whom the Software is furnished to do so, subject to
+ * the following conditions:
+ * 
+ * The above copyright notice and this permission notice shall be
+ * included in all copies or substantial portions of the Software.
+ * 
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+ * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+ * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+ * NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+ * LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+ * OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+ * WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. 
+ */
+
+/* Available at: http://ab-initio.mit.edu/Faddeeva
+
+   Header file for Faddeeva.c; see Faddeeva.cc for more information. */
+
+#ifndef FADDEEVA_H
+#define FADDEEVA_H 1
+
+// Require C99 complex-number support
+#include <complex.h>
+
+#ifdef __cplusplus
+extern "C"
+{
+#endif /* __cplusplus */
+
+// compute w(z) = exp(-z^2) erfc(-iz) [ Faddeeva / scaled complex error func ]
+extern double complex Faddeeva_w(double complex z,double relerr);
+extern double Faddeeva_w_im(double x); // special-case code for Im[w(x)] of real x
+
+// Various functions that we can compute with the help of w(z)
+
+// compute erfcx(z) = exp(z^2) erfc(z)
+extern double complex Faddeeva_erfcx(double complex z, double relerr);
+extern double Faddeeva_erfcx_re(double x); // special case for real x
+
+// compute erf(z), the error function of complex arguments
+extern double complex Faddeeva_erf(double complex z, double relerr);
+extern double Faddeeva_erf_re(double x); // special case for real x
+
+// compute erfi(z) = -i erf(iz), the imaginary error function
+extern double complex Faddeeva_erfi(double complex z, double relerr);
+extern double Faddeeva_erfi_re(double x); // special case for real x
+
+// compute erfc(z) = 1 - erf(z), the complementary error function
+extern double complex Faddeeva_erfc(double complex z, double relerr);
+extern double Faddeeva_erfc_re(double x); // special case for real x
+
+// compute Dawson(z) = sqrt(pi)/2  *  exp(-z^2) * erfi(z)
+extern double complex Faddeeva_Dawson(double complex z, double relerr);
+extern double Faddeeva_Dawson_re(double x); // special case for real x
+
+#ifdef __cplusplus
+}
+#endif /* __cplusplus */
+
+#endif // FADDEEVA_H
diff --git a/src/ace.F90 b/src/ace.F90
index e97338b558..170c885f02 100644
--- a/src/ace.F90
+++ b/src/ace.F90
@@ -1,17 +1,27 @@
 module ace
 
-  use ace_header,       only: Nuclide, Reaction, SAlphaBeta, XsListing, &
-                              DistEnergy
+  use angleenergy_header, only: AngleEnergy
   use constants
-  use endf,             only: reaction_name, is_fission, is_disappearance
-  use error,            only: fatal_error, warning
-  use fission,          only: nu_total
+  use distribution_univariate, only: Uniform, Equiprobable, Tabular
+  use endf, only: is_fission, is_disappearance
+  use endf_header, only: Constant1D, Tabulated1D, Polynomial
+  use energy_distribution, only: TabularEquiprobable, LevelInelastic, &
+       ContinuousTabular, MaxwellEnergy, Evaporation, WattEnergy
+  use error, only: fatal_error, warning
   use global
-  use list_header,      only: ListInt
-  use material_header,  only: Material
-  use output,           only: write_message
-  use set_header,       only: SetChar
-  use string,           only: to_str, to_lower
+  use list_header, only: ListInt
+  use material_header, only: Material
+  use multipole,        only: multipole_read
+  use nuclide_header
+  use output, only: write_message
+  use product_header, only: ReactionProduct
+  use sab_header
+  use set_header, only: SetChar
+  use secondary_correlated, only: CorrelatedAngleEnergy
+  use secondary_kalbach, only: KalbachMann
+  use secondary_nbody, only: NBodyPhaseSpace
+  use secondary_uncorrelated, only: UncorrelatedAngleEnergy
+  use string, only: to_str, to_lower
 
   implicit none
 
@@ -27,11 +37,11 @@ module ace
 contains
 
 !===============================================================================
-! READ_XS reads all the cross sections for the problem and stores them in
+! READ_ACE_XS reads all the cross sections for the problem and stores them in
 ! nuclides and sab_tables arrays
 !===============================================================================
 
-  subroutine read_xs()
+  subroutine read_ace_xs()
 
     integer :: i            ! index in materials array
     integer :: j            ! index over nuclides in material
@@ -45,8 +55,9 @@ contains
     integer :: temp_table   ! temporary value for sorting
     character(12)  :: name  ! name of isotope, e.g. 92235.03c
     character(12)  :: alias ! alias of nuclide, e.g. U-235.03c
+    logical :: mp_found     ! if windowed multipole libraries were found
     type(Material),   pointer :: mat
-    type(Nuclide),    pointer :: nuc
+    type(Nuclide), pointer :: nuc
     type(SAlphaBeta), pointer :: sab
     type(SetChar) :: already_read
 
@@ -105,6 +116,9 @@ contains
             end do
           end if
 
+          ! Read multipole file into the appropriate entry on the nuclides array
+          if (multipole_active) call read_multipole_data(i_nuclide)
+
           ! Add name and alias to dictionary
           call already_read % add(name)
           call already_read % add(alias)
@@ -217,15 +231,30 @@ contains
 
     ! Show which nuclide results in lowest energy for neutron transport
     do i = 1, n_nuclides_total
-      if (nuclides(i)%energy(nuclides(i)%n_grid) == energy_max_neutron) then
+      if (nuclides(i) % energy(nuclides(i) % n_grid) == energy_max_neutron) then
         call write_message("Maximum neutron transport energy: " // &
              trim(to_str(energy_max_neutron)) // " MeV for " // &
-             trim(adjustl(nuclides(i)%name)), 6)
+             trim(adjustl(nuclides(i) % name)), 6)
         exit
       end if
     end do
 
-  end subroutine read_xs
+    ! If the user wants multipole, make sure we found a multipole library.
+    if (multipole_active) then
+      mp_found = .false.
+      do i = 1, n_nuclides_total
+        if (nuclides(i) % mp_present) then
+          mp_found = .true.
+          exit
+        end if
+      end do
+      if (.not. mp_found) call warning("Windowed multipole functionality is &
+           &turned on, but no multipole libraries were found.  Set the &
+           &<multipole_library> element in settings.xml or the &
+           &OPENMC_MULTIPOLE_LIBRARY environment variable.")
+    end if
+
+  end subroutine read_ace_xs
 
 !===============================================================================
 ! READ_ACE_TABLE reads a single cross section table in either ASCII or binary
@@ -257,9 +286,9 @@ contains
     character(10) :: mat           ! material identifier
     character(70) :: comment       ! comment for ACE table
     character(MAX_FILE_LEN) :: filename ! path to ACE cross section library
-    type(Nuclide),   pointer :: nuc
+    type(Nuclide), pointer :: nuc
     type(SAlphaBeta), pointer :: sab
-    type(XsListing), pointer :: listing
+    type(XsListing),  pointer :: listing
 
     ! determine path, record length, and location of table
     listing => xs_listings(i_listing)
@@ -360,7 +389,7 @@ contains
         nuc % name = name
         nuc % awr  = awr
         nuc % kT   = kT
-        nuc % zaid = NXS(2)
+        nuc % zaid = listing % zaid
       end if
 
       ! read all blocks
@@ -370,10 +399,10 @@ contains
       if (data_0K) then
         continue
       else
-        call read_nu_data(nuc)
         call read_reactions(nuc)
-        call read_angular_dist(nuc)
+        call read_nu_data(nuc)
         call read_energy_dist(nuc)
+        call read_angular_dist(nuc)
         call read_unr_res(nuc)
       end if
 
@@ -408,6 +437,55 @@ contains
 
   end subroutine read_ace_table
 
+!===============================================================================
+! READ_MULTIPOLE_DATA checks for the existence of a multipole library in the
+! directory and loads it using multipole_read
+!===============================================================================
+
+  subroutine read_multipole_data(i_table)
+
+    integer, intent(in) :: i_table  ! index in nuclides/sab_tables
+
+    logical :: file_exists                 ! Does multipole library exist?
+    character(7) :: readable               ! Is multipole library readable?
+    character(6) :: zaid_string            ! String of the ZAID
+    character(MAX_FILE_LEN+9) :: filename  ! Path to multipole xs library
+
+    ! For the time being, and I know this is a bit hacky, we just assume
+    ! that the file will be zaid.h5.
+    associate (nuc => nuclides(i_table))
+
+      write(zaid_string, '(I6.6)') nuc % zaid
+      filename = trim(path_multipole) // zaid_string // ".h5"
+
+      ! Check if Multipole library exists and is readable
+      inquire(FILE=filename, EXIST=file_exists, READ=readable)
+      if (.not. file_exists) then
+        nuc % mp_present = .false.
+        return
+      elseif (readable(1:3) == 'NO') then
+        call fatal_error("Multipole library '" // trim(filename) // "' is not &
+             &readable! Change file permissions with chmod command.")
+      end if
+
+      ! Display message
+      call write_message("Loading Multipole XS table: " // filename, 6)
+
+      allocate(nuc % multipole)
+
+      ! Call the read routine
+      call multipole_read(filename, nuc % multipole, i_table)
+      nuc % mp_present = .true.
+
+      ! Recreate nu-fission tables
+      if (nuc % fissionable) then
+        call generate_nu_fission(nuc)
+      end if
+
+    end associate
+
+  end subroutine read_multipole_data
+
 !===============================================================================
 ! READ_ESZ - reads through the ESZ block. This block contains the energy grid,
 ! total xs, absorption xs, elastic scattering xs, and heating numbers.
@@ -415,7 +493,7 @@ contains
 
   subroutine read_esz(nuc, data_0K)
     type(Nuclide), intent(inout) :: nuc
-    logical, intent(in) :: data_0K ! are we reading 0K data?
+    logical,          intent(in)    :: data_0K ! are we reading 0K data?
 
     integer :: NE ! number of energy points for total and elastic cross sections
     integer :: i  ! index in 0K elastic xs array for this nuclide
@@ -504,193 +582,209 @@ contains
   subroutine read_nu_data(nuc)
     type(Nuclide), intent(inout) :: nuc
 
-    integer :: i      ! loop index
-    integer :: JXS2   ! location for fission nu data
-    integer :: JXS24  ! location for delayed neutron data
+    integer :: i, j   ! loop index
+    integer :: idx    ! index in XSS
     integer :: KNU    ! location for nu data
     integer :: LNU    ! type of nu data (polynomial or tabular)
-    integer :: NC     ! number of polynomial coefficients
     integer :: NR     ! number of interpolation regions
     integer :: NE     ! number of energies
     integer :: NPCR   ! number of delayed neutron precursor groups
-    integer :: LED    ! location of energy distribution locators
-    integer :: LDIS   ! location of all energy distributions
     integer :: LOCC   ! location of energy distributions for given MT
-    integer :: lc     ! locator
-    integer :: length ! length of data to allocate
-    type(DistEnergy), pointer :: edist
+    integer :: LAW
+    integer :: IDAT
+    real(8) :: total_group_probability
+    type(Tabulated1D) :: yield_delayed
+    type(Tabulated1D) :: group_probability
 
-    JXS2  = JXS(2)
-    JXS24 = JXS(24)
-
-    if (JXS2 == 0) then
-      ! =======================================================================
-      ! NO PROMPT/TOTAL NU DATA
-      nuc % nu_t_type = NU_NONE
-      nuc % nu_p_type = NU_NONE
-
-    elseif (XSS(JXS2) > 0) then
-      ! =======================================================================
-      ! PROMPT OR TOTAL NU DATA
-      KNU = JXS2
-      LNU = int(XSS(KNU))
-      if (LNU == 1) then
-        ! Polynomial data
-        nuc % nu_t_type = NU_POLYNOMIAL
-        nuc % nu_p_type = NU_NONE
-
-        ! allocate determine how many coefficients for polynomial
-        NC = int(XSS(KNU+1))
-        length = NC + 1
-      elseif (LNU == 2) then
-        ! Tabular data
-        nuc % nu_t_type = NU_TABULAR
-        nuc % nu_p_type = NU_NONE
-
-        ! determine number of interpolation regions and number of energies
-        NR = int(XSS(KNU+1))
-        NE = int(XSS(KNU+2+2*NR))
-        length = 2 + 2*NR + 2*NE
-      end if
-
-      ! allocate space for nu data storage
-      allocate(nuc % nu_t_data(length))
-
-      ! read data -- for polynomial, this is the number of coefficients and the
-      ! coefficients themselves, and for tabular, this is interpolation data
-      ! and tabular E/nu
-      XSS_index = KNU + 1
-      nuc % nu_t_data = get_real(length)
-
-    elseif (XSS(JXS2) < 0) then
-      ! =======================================================================
-      ! PROMPT AND TOTAL NU DATA -- read prompt data first
-      KNU = JXS2 + 1
-      LNU = int(XSS(KNU))
-      if (LNU == 1) then
-        ! Polynomial data
-        nuc % nu_p_type = NU_POLYNOMIAL
-
-        ! allocate determine how many coefficients for polynomial
-        NC = int(XSS(KNU+1))
-        length = NC + 1
-      elseif (LNU == 2) then
-        ! Tabular data
-        nuc % nu_p_type = NU_TABULAR
-
-        ! determine number of interpolation regions and number of energies
-        NR = int(XSS(KNU+1))
-        NE = int(XSS(KNU+2+2*NR))
-        length = 2 + 2*NR + 2*NE
-      end if
-
-      ! allocate space for nu data storage
-      allocate(nuc % nu_p_data(length))
-
-      ! read data
-      XSS_index = KNU + 1
-      nuc % nu_p_data = get_real(length)
-
-      ! Now read total nu data
-      KNU = JXS2 + int(abs(XSS(JXS2))) + 1
-      LNU = int(XSS(KNU))
-      if (LNU == 1) then
-        ! Polynomial data
-        nuc % nu_t_type = NU_POLYNOMIAL
-
-        ! allocate determine how many coefficients for polynomial
-        NC = int(XSS(KNU+1))
-        length = NC + 1
-      elseif (LNU == 2) then
-        ! Tabular data
-        nuc % nu_t_type = NU_TABULAR
-
-        ! determine number of interpolation regions and number of energies
-        NR = int(XSS(KNU+1))
-        NE = int(XSS(KNU+2+2*NR))
-        length = 2 + 2*NR + 2*NE
-      end if
-
-      ! allocate space for nu data storage
-      allocate(nuc % nu_t_data(length))
-
-      ! read data
-      XSS_index = KNU + 1
-      nuc % nu_t_data = get_real(length)
+    if (JXS(2) == 0) then
+      ! Nuclide is not fissionable
+      return
     end if
 
-    if (JXS24 > 0) then
-      ! =======================================================================
-      ! DELAYED NU DATA
-
-      nuc % nu_d_type = NU_TABULAR
-      KNU = JXS24
-
-      ! determine size of tabular delayed nu data
-      NR = int(XSS(KNU+1))
-      NE = int(XSS(KNU+2+2*NR))
-      length = 2 + 2*NR + 2*NE
-
-      ! allocate space for delayed nu data
-      allocate(nuc % nu_d_data(length))
-
-      ! read delayed nu data
-      XSS_index = KNU + 1
-      nuc % nu_d_data = get_real(length)
-
-      ! =======================================================================
-      ! DELAYED NEUTRON ENERGY DISTRIBUTION
-
-      ! Allocate space for secondary energy distribution
+    ! Determine number of delayed neutron precursors
+    if (JXS(24) > 0) then
       NPCR = NXS(8)
+    else
+      NPCR = 0
+    end if
+    nuc % n_precursor = NPCR
 
-      ! Check to make sure nuclide does not have more than the maximum number
-      ! of delayed groups
-      if (NPCR > MAX_DELAYED_GROUPS) then
-        call fatal_error("Encountered nuclide with " // trim(to_str(NPCR)) &
-             // " delayed groups while the maximum number of delayed groups &
-             &set in constants.F90 is " // trim(to_str(MAX_DELAYED_GROUPS)))
+    ! Check to make sure nuclide does not have more than the maximum number
+    ! of delayed groups
+    if (NPCR > MAX_DELAYED_GROUPS) then
+      call fatal_error("Encountered nuclide with " // trim(to_str(NPCR)) &
+           // " delayed groups while the maximum number of delayed groups is " &
+           // trim(to_str(MAX_DELAYED_GROUPS)))
+    end if
+
+    associate (rx => nuc % reactions(nuc % index_fission(1)))
+      ! Allocate space for prompt/delayed neutron products
+      allocate(rx % products(1 + NPCR))
+      rx % products(:) % particle = NEUTRON
+
+      if (XSS(JXS(2)) > 0) then
+        ! =======================================================================
+        ! PROMPT OR TOTAL NU DATA
+
+        ! If delayed data is present, then prompt data must be present. Otherwise
+        ! the product represents 'total' neutron emission
+        if (JXS(24) > 0) then
+          rx % products(1) % emission_mode = EMISSION_PROMPT
+        else
+          rx % products(1) % emission_mode = EMISSION_TOTAL
+        end if
+
+        KNU = JXS(2)
+        LNU = nint(XSS(KNU))
+        if (LNU == 1) then
+          ! Polynomial data
+          allocate(Polynomial :: rx % products(1) % yield)
+
+          ! determine order of polynomial and read coefficients
+          select type (yield => rx % products(1) % yield)
+          type is (Polynomial)
+            call yield % from_ace(XSS, KNU + 1)
+          end select
+
+        elseif (LNU == 2) then
+          ! Tabulated data
+          allocate(Tabulated1D :: rx % products(1) % yield)
+
+          select type(yield => rx % products(1) % yield)
+          type is (Tabulated1D)
+            call yield % from_ace(XSS, KNU + 1)
+          end select
+
+        end if
+
+      elseif (XSS(JXS(2)) < 0) then
+        ! =======================================================================
+        ! PROMPT AND TOTAL NU DATA
+
+        rx % products(1) % emission_mode = EMISSION_PROMPT
+
+        KNU = JXS(2) + 1
+        LNU = nint(XSS(KNU))
+        if (LNU == 1) then
+          ! Polynomial data
+          allocate(Polynomial :: rx % products(1) % yield)
+
+          ! determine order of polynomial and read coefficients
+          select type (yield => rx % products(1) % yield)
+          type is (Polynomial)
+            call yield % from_ace(XSS, KNU + 1)
+          end select
+
+        elseif (LNU == 2) then
+          ! Tabulated data
+          allocate(Tabulated1D :: rx % products(1) % yield)
+
+          select type(yield => rx % products(1) % yield)
+          type is (Tabulated1D)
+            call yield % from_ace(XSS, KNU + 1)
+          end select
+        end if
+
+        KNU = JXS(2) + nint(abs(XSS(JXS(2)))) + 1
+        LNU = nint(XSS(KNU))
+        if (LNU == 1) then
+          ! Polynomial data
+          allocate(Polynomial :: nuc % total_nu)
+
+          ! determine order of polynomial and read coefficients
+          select type (yield => nuc % total_nu)
+          type is (Polynomial)
+            call yield % from_ace(XSS, KNU + 1)
+          end select
+
+        elseif (LNU == 2) then
+          ! Tabulated data
+          allocate(Tabulated1D :: nuc % total_nu)
+
+          select type(yield => nuc % total_nu)
+          type is (Tabulated1D)
+            call yield % from_ace(XSS, KNU + 1)
+          end select
+        end if
       end if
 
-      nuc % n_precursor = NPCR
-      allocate(nuc % nu_d_edist(NPCR))
+      if (JXS(24) > 0) then
+        ! =======================================================================
+        ! DELAYED NU DATA
 
-      LED  = JXS(26)
-      LDIS = JXS(27)
+        ! Read total yield of delayed neutrons
+        call yield_delayed % from_ace(XSS, JXS(24) + 1)
 
-      ! Loop over all delayed neutron precursor groups
-      do i = 1, NPCR
-        ! find location of energy distribution data
-        LOCC = int(XSS(LED + i - 1))
+        idx = JXS(25)
+        total_group_probability = ZERO
+        do i = 1, NPCR
+          ! Set emission mode and decay rate
+          rx % products(1 + i) % emission_mode = EMISSION_DELAYED
+          rx % products(1 + i) % decay_rate = XSS(idx)
 
-        ! read energy distribution data
-        edist => nuc % nu_d_edist(i)
-        call get_energy_dist(edist, LOCC, .true.)
+          ! Read probability for this precursor group
+          call group_probability % from_ace(XSS, idx + 1)
+
+          ! Set yield based on product of group probability and delayed yield
+          if (all(group_probability % y == group_probability % y(1))) then
+            allocate(Tabulated1D :: rx % products(1 + i) % yield)
+            select type (yield => rx % products(1 + i) % yield)
+            type is (Tabulated1D)
+              yield = yield_delayed
+              yield % y(:) = yield % y(:) * group_probability % y(1)
+              total_group_probability = total_group_probability + group_probability % y(1)
+            end select
+          else
+            call fatal_error("Delayed neutron with energy-dependent group &
+                 &probability not implemented")
+          end if
+
+          ! Advance position
+          NR = nint(XSS(idx + 1))
+          NE = nint(XSS(idx + 2 + 2*NR))
+          idx = idx + 3 + 2*(NR + NE)
+
+          ! =======================================================================
+          ! DELAYED NEUTRON ENERGY DISTRIBUTION
+
+          ! Read energy distribution
+          LOCC = nint(XSS(JXS(26) + i - 1))
+
+          ! Determine law and location of data
+          LAW = nint(XSS(JXS(27) + LOCC))
+          IDAT = nint(XSS(JXS(27) + LOCC + 1))
+
+          ! read energy distribution data
+          associate(p => rx % products(1 + i))
+            allocate(p % applicability(1))
+            allocate(p % distribution(1))
+            call get_energy_dist(p % distribution(1) % obj, LAW, JXS(27), IDAT, &
+                 ZERO, ZERO)
+
+            select type (aedist => p % distribution(1) % obj)
+            type is (UncorrelatedAngleEnergy)
+              aedist % fission = .true.
+            end select
+          end associate
+        end do
+
+        ! Renormalize delayed neutron yields to reflect fact that in ACE file, the
+        ! sum of the group probabilities is not exactly one
+        do i = 1, NPCR
+          select type (yield => rx % products(1 + i) % yield)
+          type is (Tabulated1D)
+            yield % y(:) = yield % y(:) / total_group_probability
+          end select
+        end do
+      end if
+
+      ! Assign products to other fission reactions
+      do i = 2, nuc % n_fission
+        j = nuc % index_fission(i)
+        allocate(nuc % reactions(j) % products(1 + NPCR))
+        nuc % reactions(j) % products(:) = rx % products(:)
       end do
-
-      ! =======================================================================
-      ! DELAYED NEUTRON PRECUSOR YIELDS AND CONSTANTS
-
-      ! determine length of all precursor constants/yields/interp data
-      length = 0
-      lc = JXS(25)
-      do i = 1, NPCR
-        NR = int(XSS(lc + length + 1))
-        NE = int(XSS(lc + length + 2 + 2*NR))
-        length = length + 3 + 2*NR + 2*NE
-      end do
-
-      ! allocate space for precusor data
-      allocate(nuc % nu_d_precursor_data(length))
-
-      ! read delayed neutron precursor data
-      XSS_index = lc
-      nuc % nu_d_precursor_data = get_real(length)
-
-    else
-      nuc % nu_d_type = NU_NONE
-      nuc % n_precursor = 0
-    end if
+    end associate
 
   end subroutine read_nu_data
 
@@ -714,7 +808,7 @@ contains
     integer :: LOCA      ! location of cross-section for given MT
     integer :: IE        ! reaction's starting index on energy grid
     integer :: NE        ! number of energies
-    integer :: NR        ! number of interpolation regions
+    real(8) :: y
     type(ListInt) :: MTs
 
     LMT  = JXS(3)
@@ -733,13 +827,19 @@ contains
     ! sigma array is not allocated or stored for elastic scattering since it is
     ! already stored in nuc % elastic
     associate (rxn => nuc % reactions(1))
-      rxn%MT            = 2
-      rxn%Q_value       = ZERO
-      rxn%multiplicity  = 1
-      rxn%threshold     = 1
-      rxn%scatter_in_cm = .true.
-      rxn%has_angle_dist = .false.
-      rxn%has_energy_dist = .false.
+      rxn % MT = 2
+      rxn % Q_value = ZERO
+      allocate(rxn % products(1))
+      rxn % products(1) % particle = NEUTRON
+      allocate(Constant1D :: rxn % products(1) % yield)
+      select type(yield => rxn % products(1) % yield)
+      type is (Constant1D)
+        yield % y = 1
+      end select
+      rxn % threshold = 1
+      rxn % scatter_in_cm = .true.
+      allocate(rxn % products(1) % distribution(1))
+      allocate(UncorrelatedAngleEnergy :: rxn % products(1) % distribution(1) % obj)
     end associate
 
     ! Add contribution of elastic scattering to total cross section
@@ -754,50 +854,36 @@ contains
 
     do i = 1, NMT
       associate (rxn => nuc % reactions(i+1))
-        ! set defaults
-        rxn % has_angle_dist  = .false.
-        rxn % has_energy_dist = .false.
-
         ! read MT number, Q-value, and neutrons produced
-        rxn % MT            = int(XSS(LMT + i - 1))
-        rxn % Q_value       = XSS(JXS4 + i - 1)
-        rxn % multiplicity  = abs(nint(XSS(JXS5 + i - 1)))
+        rxn % MT = int(XSS(LMT + i - 1))
+        rxn % Q_value = XSS(JXS4 + i - 1)
         rxn % scatter_in_cm = (nint(XSS(JXS5 + i - 1)) < 0)
 
-        ! Read energy-dependent multiplicities
-        if (rxn % multiplicity > 100) then
-          ! Set flag and allocate space for Tab1 to store yield
-          rxn % multiplicity_with_E = .true.
-          allocate(rxn % multiplicity_E)
+        if (.not. is_fission(rxn % MT)) then
+          allocate(rxn % products(1))
+          rxn % products(1) % particle = NEUTRON
 
-          XSS_index = JXS(11) + rxn % multiplicity - 101
-          NR = nint(XSS(XSS_index))
-          rxn % multiplicity_E % n_regions = NR
+          y = abs(nint(XSS(JXS5 + i - 1)))
+          if (y > 100) then
+            ! Read energy-dependent multiplicities
 
-          ! allocate space for ENDF interpolation parameters
-          if (NR > 0) then
-            allocate(rxn % multiplicity_E % nbt(NR))
-            allocate(rxn % multiplicity_E % int(NR))
+            ! Set flag and allocate space for Tabulated1D to store yield
+            allocate(Tabulated1D :: rxn % products(1) % yield)
+
+            ! Read yield function
+            select type (yield => rxn % products(1) % yield)
+            type is (Tabulated1D)
+              XSS_index = JXS(11) + int(y) - 101
+              call yield % from_ace(XSS, XSS_index)
+            end select
+          else
+            ! Integral yield
+            allocate(Constant1D :: rxn % products(1) % yield)
+            select type (yield => rxn % products(1) % yield)
+            type is (Constant1D)
+              yield % y = y
+            end select
           end if
-
-          ! read ENDF interpolation parameters
-          XSS_index = XSS_index + 1
-          if (NR > 0) then
-            rxn % multiplicity_E % nbt = get_int(NR)
-            rxn % multiplicity_E % int = get_int(NR)
-          end if
-
-          ! allocate space for yield data
-          XSS_index = XSS_index + 2*NR
-          NE = nint(XSS(XSS_index))
-          rxn % multiplicity_E % n_pairs = NE
-          allocate(rxn % multiplicity_E % x(NE))
-          allocate(rxn % multiplicity_E % y(NE))
-
-          ! read yield data
-          XSS_index = XSS_index + 1
-          rxn % multiplicity_E % x = get_real(NE)
-          rxn % multiplicity_E % y = get_real(NE)
         end if
 
         ! read starting energy index
@@ -827,7 +913,7 @@ contains
 
         ! Skip total inelastic level scattering, gas production cross sections
         ! (MT=200+), etc.
-        if (rxn % MT == N_LEVEL) cycle
+        if (rxn % MT == N_LEVEL .or. rxn % MT == N_NONELASTIC) cycle
         if (rxn % MT > N_5N2P .and. rxn % MT < N_P0) cycle
 
         ! Skip level cross sections if total is available
@@ -887,86 +973,96 @@ contains
   subroutine read_angular_dist(nuc)
     type(Nuclide), intent(inout) :: nuc
 
-    integer :: JXS8   ! location of angular distribution locators
-    integer :: JXS9   ! location of angular distributions
     integer :: LOCB   ! location of angular distribution for given MT
     integer :: NE     ! number of incoming energies
     integer :: NP     ! number of points for cosine distribution
-    integer :: LC     ! locator
     integer :: i      ! index in reactions array
     integer :: j      ! index over incoming energies
-    integer :: length ! length of data array to allocate
-
-    JXS8 = JXS(8)
-    JXS9 = JXS(9)
+    integer :: k      ! index over energy distributions
+    integer :: interp
+    integer, allocatable :: LC(:) ! locator
 
     ! loop over all reactions with secondary neutrons -- NXS(5) does not include
     ! elastic scattering
     do i = 1, NXS(5) + 1
       associate (rxn => nuc%reactions(i))
-
         ! find location of angular distribution
-        LOCB = int(XSS(JXS8 + i - 1))
-        if (LOCB == -1) then
-          ! Angular distribution data are specified through LAWi = 44 in the DLW
-          ! block
-          cycle
-        elseif (LOCB == 0) then
-          ! No angular distribution data are given for this reaction, isotropic
-          ! scattering is assumed (in CM if TY < 0 and in LAB if TY > 0)
-          cycle
-        end if
-        rxn % has_angle_dist = .true.
+        LOCB = int(XSS(JXS(8) + i - 1))
 
-        ! allocate space for incoming energies and locations
-        NE = int(XSS(JXS9 + LOCB - 1))
-        rxn % adist % n_energy = NE
-        allocate(rxn % adist % energy(NE))
-        allocate(rxn % adist % type(NE))
-        allocate(rxn % adist % location(NE))
+        ! Angular distribution given as part of a correlated angle-energy distribution
+        if (LOCB == -1) cycle
 
-        ! read incoming energy grid and location of nucs
-        XSS_index = JXS9 + LOCB
-        rxn % adist % energy   = get_real(NE)
-        rxn % adist % location = get_int(NE)
+        ! No angular distribution data are given for this reaction, isotropic
+        ! scattering is assumed (in CM if TY < 0 and in LAB if TY > 0)
+        if (LOCB == 0) cycle
 
-        ! determine dize of data block
-        length = 0
-        do j = 1, NE
-          LC = rxn % adist % location(j)
-          if (LC == 0) then
-            ! isotropic
-            rxn % adist % type(j) = ANGLE_ISOTROPIC
-          elseif (LC > 0) then
-            ! 32 equiprobable bins
-            rxn % adist % type(j) = ANGLE_32_EQUI
-            length = length + 33
-          elseif (LC < 0) then
-            ! tabular distribution
-            rxn % adist % type(j) = ANGLE_TABULAR
-            NP = int(XSS(JXS9 + abs(LC)))
-            length = length + 2 + 3*NP
-          end if
-        end do
+        ! Loop over each separate energy distribution. Even though there is only
+        ! "one" angular distribution, it is repeated as many times as there are
+        ! energy distributions for this reaction since the
+        ! UncorrelatedAngleEnergy type holds one angle and energy distribution.
+        do k = 1, size(rxn % products(1) % distribution)
+          select type (aedist => rxn % products(1) % distribution(k) % obj)
+          type is (UncorrelatedAngleEnergy)
+            ! allocate space for incoming energies and locations
+            NE = int(XSS(JXS(9) + LOCB - 1))
+            allocate(aedist % angle % energy(NE))
+            allocate(aedist % angle % distribution(NE))
+            allocate(LC(NE))
 
-        ! allocate angular distribution data and read
-        allocate(rxn % adist % data(length))
+            ! read incoming energy grid and location of nucs
+            XSS_index = JXS(9) + LOCB
+            aedist % angle % energy(:) = get_real(NE)
+            LC(:) = get_int(NE)
 
-        ! read angular distribution -- currently this does not actually parse the
-        ! angular distribution tables for each incoming energy, that must be done
-        ! on-the-fly
-        XSS_index = JXS9 + LOCB + 2 * NE
-        rxn % adist % data = get_real(length)
+            ! determine dize of data block
+            do j = 1, NE
+              if (LC(j) == 0) then
+                ! isotropic
+                allocate(Uniform :: aedist % angle % distribution(j) % obj)
+                select type (adist => aedist % angle % distribution(j) % obj)
+                type is (Uniform)
+                  adist % a = -ONE
+                  adist % b = ONE
+                end select
 
-        ! change location pointers since they are currently relative to JXS(9)
-        LC = LOCB + 2 * NE + 1
-        do j = 1, NE
-          ! For consistency, leave location as 0 if type is isotropic.
-          ! This is not necessary for current correctness, but can avoid
-          ! future issues
-          if (rxn % adist % location(j) /= 0) then
-            rxn % adist % location(j) = abs(rxn % adist % location(j)) - LC
-          end if
+              elseif (LC(j) > 0) then
+                ! 32 equiprobable bins
+                allocate(Equiprobable :: aedist % angle % distribution(j) % obj)
+                select type (adist => aedist % angle % distribution(j) % obj)
+                type is (Equiprobable)
+                  allocate(adist % x(33))
+                end select
+
+              elseif (LC(j) < 0) then
+                ! tabular distribution
+                allocate(Tabular :: aedist % angle % distribution(j) % obj)
+              end if
+            end do
+
+            ! read angular distribution -- currently this does not actually parse the
+            ! angular distribution tables for each incoming energy, that must be done
+            ! on-the-fly
+            do j = 1, NE
+              XSS_index = JXS(9) + abs(LC(j)) - 1
+              select type(adist => aedist % angle % distribution(j) % obj)
+              type is (Equiprobable)
+                adist % x(:) = get_real(33)
+              type is (Tabular)
+                ! determine interpolation and number of points
+                interp = nint(XSS(XSS_index))
+                NP = nint(XSS(XSS_index + 1))
+
+                ! Get probability density data
+                XSS_index = XSS_index + 2
+                allocate(adist % x(NP), adist % p(NP), adist % c(NP))
+                adist % x(:) = get_real(NP)
+                adist % p(:) = get_real(NP)
+                adist % c(:) = get_real(NP)
+              end select
+            end do
+            deallocate(LC)
+
+          end select
         end do
       end associate
     end do
@@ -981,25 +1077,62 @@ contains
   subroutine read_energy_dist(nuc)
     type(Nuclide), intent(inout) :: nuc
 
-    integer :: LED   ! location of energy distribution locators
-    integer :: LOCC  ! location of energy distributions for given MT
     integer :: i     ! loop index
-
-    LED  = JXS(10)
+    integer :: n
+    integer :: IDAT  ! locator for distribution data
+    integer :: LNW   ! location of next energy law
+    integer :: LAW   ! Type of energy law
 
     ! Loop over all reactions
     do i = 1, NXS(5)
-      associate (rxn => nuc % reactions(i+1)) ! skip over elastic scattering
-        rxn % has_energy_dist = .true.
+      ! Determine how many energy distributions are present for this reaction
+      LNW = nint(XSS(JXS(10) + i - 1))
+      n = 0
+      do while (LNW > 0)
+        n = n + 1
+        LNW = nint(XSS(JXS(11) + LNW - 1))
+      end do
 
-        ! find location of energy distribution data
-        LOCC = int(XSS(LED + i - 1))
+      ! Allocate space for distributions and probability of validity
+      associate (p => nuc % reactions(i + 1) % products(1))
+        allocate(p % applicability(n))
+        allocate(p % distribution(n))
 
-        ! allocate energy distribution
-        allocate(rxn % edist)
+        LNW = nint(XSS(JXS(10) + i - 1))
+        n = 0
+        do while (LNW > 0)
+          n = n + 1
 
-        ! read data for energy distribution
-        call get_energy_dist(rxn % edist, LOCC)
+          ! Determine energy law and location of data
+          LAW  = nint(XSS(JXS(11) + LNW))
+          IDAT = nint(XSS(JXS(11) + LNW + 1))
+
+          ! Read probability of law validity
+          call p % applicability(n) % from_ace(XSS, JXS(11) + LNW + 2)
+
+          ! Read energy law data
+          call get_energy_dist(p % distribution(n) % obj, LAW, &
+               JXS(11), IDAT, nuc % awr, nuc % reactions(i + 1) % Q_value)
+
+          ! <<<<<<<<<<<<<<<<<<<<<<<<<<<< REMOVE THIS <<<<<<<<<<<<<<<<<<<<<<<<<<<
+          ! Before the secondary distribution refactor, when the angle/energy
+          ! distribution was uncorrelated, no angle was actually sampled. With
+          ! the refactor, an angle is always sampled for an uncorrelated
+          ! distribution even when no angle distribution exists in the ACE file
+          ! (isotropic is assumed). To preserve the RNG stream, we explicitly
+          ! mark fission reactions so that we avoid the angle sampling.
+          if (any(nuc % reactions(i + 1) % MT == &
+               [N_FISSION, N_F, N_NF, N_2NF, N_3NF])) then
+            select type (aedist => p % distribution(n) % obj)
+            type is (UncorrelatedAngleEnergy)
+              aedist % fission = .true.
+            end select
+          end if
+          ! <<<<<<<<<<<<<<<<<<<<<<<<<<<< REMOVE THIS <<<<<<<<<<<<<<<<<<<<<<<<<<<
+
+          ! Get locator for next distribution
+          LNW = nint(XSS(JXS(11) + LNW - 1))
+        end do
       end associate
     end do
 
@@ -1011,281 +1144,320 @@ contains
 ! single reaction
 !===============================================================================
 
-  recursive subroutine get_energy_dist(edist, loc_law, delayed_n)
-    type(DistEnergy), intent(inout) :: edist     ! energy distribution
-    integer, intent(in)             :: loc_law   ! locator for data
-    logical, intent(in), optional   :: delayed_n ! is this for delayed neutrons?
+  recursive subroutine get_energy_dist(aedist, law, LDIS, IDAT, awr, Q_value)
+    class(AngleEnergy), allocatable, intent(inout) :: aedist
+    integer, intent(in) :: law
+    integer, intent(in) :: LDIS
+    integer, intent(in) :: IDAT
+    real(8), intent(in) :: awr
+    real(8), intent(in) :: Q_value
 
-    integer :: LDIS   ! location of all energy distributions
-    integer :: LNW    ! location of next energy distribution if multiple
-    integer :: LAW    ! secondary energy distribution law
+    integer :: i, j
     integer :: NR     ! number of interpolation regions
     integer :: NE     ! number of incoming energies
-    integer :: IDAT   ! location of first energy distribution for given MT
-    integer :: lc     ! locator
-    integer :: length ! length of data to allocate
-    integer :: length_interp_data ! length of interpolation data
+    integer :: NP     ! number of outgoing energies/angles
+    integer :: interp
+    integer, allocatable :: L(:)  ! locations of distributions for each Ein
+    integer, allocatable :: LC(:)  ! locations of distributions for each Ein
 
-    ! determine location of energy distribution
-    if (present(delayed_n)) then
-      LDIS = JXS(27)
+    XSS_index = LDIS + IDAT - 1
+
+    if (law == 44) then
+      allocate(KalbachMann :: aedist)
+    elseif (law == 61) then
+      allocate(CorrelatedAngleEnergy :: aedist)
+    elseif (law == 66) then
+      allocate(NBodyPhaseSpace :: aedist)
     else
-      LDIS = JXS(11)
+      allocate(UncorrelatedAngleEnergy :: aedist)
     end if
 
-    ! locator for next law and information on this law
-    LNW  = int(XSS(LDIS + loc_law - 1))
-    LAW  = int(XSS(LDIS + loc_law))
-    IDAT = int(XSS(LDIS + loc_law + 1))
-    NR   = int(XSS(LDIS + loc_law + 2))
-    edist % law = LAW
-    edist % p_valid % n_regions = NR
+    select type (aedist)
+    type is (UncorrelatedAngleEnergy)
+      ! ========================================================================
+      ! UNCORRELATED ENERGY DISTRIBUTIONS
 
-    ! allocate space for ENDF interpolation parameters
-    if (NR > 0) then
-      allocate(edist % p_valid % nbt(NR))
-      allocate(edist % p_valid % int(NR))
-    end if
-
-    ! read ENDF interpolation parameters
-    XSS_index = LDIS + loc_law + 3
-    if (NR > 0) then
-      edist % p_valid % nbt = int(get_real(NR))
-      edist % p_valid % int = int(get_real(NR))
-    end if
-
-    ! allocate space for law validity data
-    NE = int(XSS(LDIS + loc_law + 3 + 2*NR))
-    edist % p_valid % n_pairs = NE
-    allocate(edist % p_valid % x(NE))
-    allocate(edist % p_valid % y(NE))
-
-    length_interp_data = 5 + 2*(NR + NE)
-
-    ! read law validity data
-    XSS_index = LDIS + loc_law + 4 + 2*NR
-    edist % p_valid % x = get_real(NE)
-    edist % p_valid % y = get_real(NE)
-
-    ! Set index to beginning of IDAT array
-    lc = LDIS + IDAT - 2
-
-    ! determine length of energy distribution
-    length = length_energy_dist(lc, LAW, loc_law, length_interp_data)
-
-    ! allocate secondary energy distribution array
-    allocate(edist % data(length))
-
-    ! read secondary energy distribution
-    XSS_index = lc + 1
-    edist % data = get_real(length)
-
-    ! read next energy distribution if present
-    if (LNW > 0) then
-      allocate(edist % next)
-      call get_energy_dist(edist % next, LNW)
-    end if
-
-  end subroutine get_energy_dist
-
-!===============================================================================
-! LENGTH_ENERGY_DIST determines how many values are contained in an LDAT energy
-! distribution array based on the secondary energy law and location in XSS
-!===============================================================================
-
-  function length_energy_dist(lc, law, LOCC, lid) result(length)
-    integer, intent(in) :: lc     ! location in XSS array
-    integer, intent(in) :: law    ! energy distribution law
-    integer, intent(in) :: LOCC   ! location of energy distribution
-    integer, intent(in) :: lid    ! length of interpolation data
-    integer             :: length ! length of energy distribution (LDAT)
-
-    integer :: i     ! loop index for incoming energies
-    integer :: j     ! loop index for outgoing energies
-    integer :: k     ! dummy index in XSS
-    integer :: NR    ! number of interpolation regions
-    integer :: NE    ! number of incoming energies
-    integer :: NP    ! number of points in outgoing energy distribution
-    integer :: NMU   ! number of points in outgoing cosine distribution
-    integer :: NRa   ! number of interpolation regions for Watt 'a'
-    integer :: NEa   ! number of energies for Watt 'a'
-    integer :: NRb   ! number of interpolation regions for Watt 'b'
-    integer :: NEb   ! number of energies for Watt 'b'
-    real(8), allocatable :: L(:)  ! locations of distributions for each Ein
-
-    ! initialize length
-    length = 0
-
-    select case (law)
-    case (1)
-      ! Tabular equiprobable energy bins
-      NR = int(XSS(lc + 1))
-      NE = int(XSS(lc + 2 + 2*NR))
-      NP = int(XSS(lc + 3 + 2*NR + NE))
-      length = 3 + 2*NR + NE + 3*NP*NE
-
-    case (2)
-      ! Discrete photon energy
-      length = 2
-
-    case (3)
-      ! Level scattering
-      length = 2
-
-    case (4)
-      ! Continuous tabular distribution
-      NR = int(XSS(lc + 1))
-      NE = int(XSS(lc + 2 + 2*NR))
-      allocate(L(NE))
-      L(:) = int(XSS(lc + 3 + 2*NR + NE: lc + 3 + 2*NR + 2*NE - 1))
-
-      ! Continue with finding data length
-      length = length + 2 + 2*NR + 2*NE
-      do i = 1,NE
-        ! Some older data sets use the same LDAT for multiple Ein tables.
-        ! If this is the case, we should skip incrementing length when it is
-        ! not needed.
-        if (i < NE) then
-          if (any(L(i) == L(i + 1: NE))) then
-            ! adjust location for this block
-            j = lc + 2 + 2*NR + NE + i
-            XSS(j) = XSS(j) - LOCC - lid
-            cycle
+      select case (law)
+      case (1)
+        allocate(TabularEquiprobable :: aedist % energy)
+        select type (edist => aedist % energy)
+        type is (TabularEquiprobable)
+          NR = nint(XSS(XSS_index))
+          NE = nint(XSS(XSS_index + 1 + 2*NR))
+          if (NR > 0) then
+            call fatal_error("Multiple interpolation regions not yet supported &
+                 &for tabular equiprobable energy distributions.")
           end if
-        end if
-        ! determine length
-        NP = int(XSS(lc + length + 2))
-        length = length + 2 + 3*NP
+          edist % n_region = NR
 
-        ! adjust location for this block
-        j = lc + 2 + 2*NR + NE + i
-        XSS(j) = XSS(j) - LOCC - lid
+          ! Read incoming energies for which outgoing energies are tabulated
+          allocate(edist % energy_in(NE))
+          XSS_index = XSS_index + 2 + 2*NR
+          edist % energy_in(:) = get_real(NE)
+
+          ! Read outgoing energy tables
+          NP = nint(XSS(XSS_index))
+          allocate(edist % energy_out(NP, NE))
+          XSS_index = XSS_index + 1
+          do i = 1, NE
+            edist % energy_out(:, i) = get_real(NP)
+          end do
+        end select
+
+      case (3)
+        allocate(LevelInelastic :: aedist % energy)
+        select type (edist => aedist % energy)
+        type is (LevelInelastic)
+          edist % threshold = XSS(XSS_index)
+          edist % mass_ratio = XSS(XSS_index + 1)
+        end select
+
+      case (4)
+        allocate(ContinuousTabular :: aedist % energy)
+        select type (edist => aedist % energy)
+        type is (ContinuousTabular)
+          NR = nint(XSS(XSS_index))
+          XSS_index = XSS_index + 1
+          if (NR > 1) then
+            call fatal_error("Multiple interpolation regions not yet supported &
+                 &for continuous tabular energy distributions.")
+          end if
+          edist % n_region = NR
+
+          ! Read breakpoints and interpolation parameters
+          if (NR > 0) then
+            allocate(edist % breakpoints(NR))
+            allocate(edist % interpolation(NR))
+            edist % breakpoints(:) = get_int(NR)
+            edist % interpolation(:) = get_int(NR)
+          end if
+
+          ! Read incoming energies for which outgoing energies are tabulated and
+          ! locators
+          NE = nint(XSS(XSS_index))
+          XSS_index = XSS_index + 1
+          allocate(edist % energy(NE))
+          allocate(L(NE))
+          edist % energy(:) = get_real(NE)
+          L(:) = get_int(NE)
+
+          ! Read outgoing energy tables
+          allocate(edist % distribution(NE))
+          do i = 1, NE
+            ! Determine interpolation and number of discrete points
+            XSS_index = LDIS + L(i) - 1
+            interp = nint(XSS(XSS_index))
+            edist % distribution(i) % interpolation = mod(interp, 10)
+            edist % distribution(i) % n_discrete = (interp - &
+                 edist % distribution(i) % interpolation)/10
+
+            ! check for discrete lines present
+            if (edist % distribution(i) % n_discrete > 0) then
+              call fatal_error("Discrete lines in continuous tabular &
+                   &distribution not yet supported")
+            end if
+
+            ! Determine number of points and allocate space
+            NP = nint(XSS(XSS_index + 1))
+            allocate(edist % distribution(i) % e_out(NP))
+            allocate(edist % distribution(i) % p(NP))
+            allocate(edist % distribution(i) % c(NP))
+
+            ! Read tabular PDF for outgoing energy
+            XSS_index = XSS_index + 2
+            edist % distribution(i) % e_out(:) = get_real(NP)
+            edist % distribution(i) % p(:) = get_real(NP)
+            edist % distribution(i) % c(:) = get_real(NP)
+          end do
+
+          deallocate(L)
+        end select
+
+      case (7)
+        allocate(MaxwellEnergy :: aedist % energy)
+        select type (edist => aedist % energy)
+        type is (MaxwellEnergy)
+          call edist % theta % from_ace(XSS, XSS_index)
+          edist % u = XSS(XSS_index + 2 + 2*edist % theta % n_regions + &
+               2*edist % theta % n_pairs)
+        end select
+
+      case (9)
+        allocate(Evaporation :: aedist % energy)
+        select type(edist => aedist % energy)
+        type is (Evaporation)
+          call edist % theta % from_ace(XSS, XSS_index)
+          edist % u = XSS(XSS_index + 2 + 2*edist % theta % n_regions + &
+               2*edist % theta % n_pairs)
+        end select
+
+      case (11)
+        allocate(WattEnergy :: aedist % energy)
+        select type(edist => aedist % energy)
+        type is (WattEnergy)
+          call edist % a % from_ace(XSS, XSS_index)
+          XSS_index = XSS_index + 2 + 2*edist % a % n_regions + 2*edist % a % n_pairs
+          call edist % b % from_ace(XSS, XSS_index)
+          XSS_index = XSS_index + 2 + 2*edist % b % n_regions + 2*edist % b % n_pairs
+          edist % u = XSS(XSS_index)
+        end select
+
+      end select
+
+    type is (KalbachMann)
+      ! ========================================================================
+      ! CORRELATED KALBACH-MANN DISTRIBUTION
+
+      NR = int(XSS(XSS_index))
+      NE = int(XSS(XSS_index + 1 + 2*NR))
+      if (NR > 0) then
+        call fatal_error("Multiple interpolation regions not yet supported &
+             &for Kalbach-Mann energy distributions.")
+      end if
+      aedist % n_region = NR
+
+      ! Read incoming energies for which outgoing energies are tabulated and locators
+      allocate(aedist % energy(NE))
+      allocate(L(NE))
+      XSS_index = XSS_index + 2 + 2*NR
+      aedist % energy(:) = get_real(NE)
+      L(:) = get_int(NE)
+
+      ! Read outgoing energy tables
+      allocate(aedist % distribution(NE))
+      do i = 1, NE
+        ! Determine interpolation and number of discrete points
+        XSS_index = LDIS + L(i) - 1
+        interp = nint(XSS(XSS_index))
+        aedist % distribution(i) % interpolation = mod(interp, 10)
+        aedist % distribution(i) % n_discrete = (interp - aedist % distribution(i) % interpolation)/10
+
+        ! check for discrete lines present
+        if (aedist % distribution(i) % n_discrete > 0) then
+          call fatal_error("Discrete lines in Kalbach-Mann distribution not &
+               &yet supported")
+        end if
+
+        ! Determine number of points and allocate space
+        NP = nint(XSS(XSS_index + 1))
+        allocate(aedist % distribution(i) % e_out(NP))
+        allocate(aedist % distribution(i) % p(NP))
+        allocate(aedist % distribution(i) % c(NP))
+        allocate(aedist % distribution(i) % r(NP))
+        allocate(aedist % distribution(i) % a(NP))
+
+        ! Read tabular PDF for outgoing energy
+        XSS_index = XSS_index + 2
+        aedist % distribution(i) % e_out(:) = get_real(NP)
+        aedist % distribution(i) % p(:) = get_real(NP)
+        aedist % distribution(i) % c(:) = get_real(NP)
+        aedist % distribution(i) % r(:) = get_real(NP)
+        aedist % distribution(i) % a(:) = get_real(NP)
       end do
+
       deallocate(L)
 
-    case (5)
-      ! General evaporation spectrum
-      NR = int(XSS(lc + 1))
-      NE = int(XSS(lc + 2 + 2*NR))
-      NP = int(XSS(lc + 3 + 2*NR + 2*NE))
-      length = 3 + 2*NR + 2*NE + NP
+    type is (CorrelatedAngleEnergy)
+      ! ========================================================================
+      ! CORRELATED ANGLE-ENERGY DISTRIBUTION
 
-    case (7)
-      ! Maxwell fission spectrum
-      NR = int(XSS(lc + 1))
-      NE = int(XSS(lc + 2 + 2*NR))
-      length = 3 + 2*NR + 2*NE
+      NR = int(XSS(XSS_index))
+      NE = int(XSS(XSS_index + 1 + 2*NR))
+      if (NR > 0) then
+        call fatal_error("Multiple interpolation regions not yet supported &
+             &for correlated angle-energy distributions.")
+      end if
+      aedist % n_region = NR
 
-    case (9)
-      ! Evaporation spectrum
-      NR = int(XSS(lc + 1))
-      NE = int(XSS(lc + 2 + 2*NR))
-      length = 3 + 2*NR + 2*NE
-
-    case (11)
-      ! Watt spectrum
-      NRa = int(XSS(lc + 1))
-      NEa = int(XSS(lc + 2 + 2*NRa))
-      NRb = int(XSS(lc + 3 + 2*(NRa+NEa)))
-      NEb = int(XSS(lc + 4 + 2*(NRa+NEa+NRb)))
-      length = 5 + 2*(NRa + NEa + NRb + NEb)
-
-    case (44)
-      ! Kalbach-Mann correlated scattering
-      NR = int(XSS(lc + 1))
-      NE = int(XSS(lc + 2 + 2*NR))
+      ! Read incoming energies for which outgoing energies are tabulated and
+      ! locators
+      allocate(aedist % energy(NE))
       allocate(L(NE))
-      L(:) = int(XSS(lc + 3 + 2*NR + NE: lc + 3 + 2*NR + 2*NE - 1))
+      XSS_index = XSS_index + 2 + 2*NR
+      aedist % energy(:) = get_real(NE)
+      L(:) = get_int(NE)
 
-      ! Continue with finding data length
-      length = length + 2 + 2*NR + 2*NE
-      do i = 1,NE
-        ! Some older data sets use the same LDAT for multiple Ein tables.
-        ! If this is the case, we should skip incrementing length when it is
-        ! not needed.
-        if (i < NE) then
-          if (any(L(i) == L(i + 1: NE))) then
-            ! adjust location for this block
-            j = lc + 2 + 2*NR + NE + i
-            XSS(j) = XSS(j) - LOCC - lid
-            cycle
-          end if
-        end if
-        NP = int(XSS(lc + length + 2))
-        length = length + 2 + 5*NP
+      ! Read outgoing energy tables
+      allocate(aedist % distribution(NE))
+      do i = 1, NE
+        ! Determine interpolation and number of discrete points
+        XSS_index = LDIS + L(i) - 1
+        interp = nint(XSS(XSS_index))
+        aedist % distribution(i) % interpolation = mod(interp, 10)
+        aedist % distribution(i) % n_discrete = (interp - aedist % distribution(i) % interpolation)/10
 
-        ! adjust location for this block
-        j = lc + 2 + 2*NR + NE + i
-        XSS(j) = XSS(j) - LOCC - lid
-      end do
-      deallocate(L)
-
-    case (61)
-      ! Correlated energy and angle distribution
-      NR = int(XSS(lc + 1))
-      NE = int(XSS(lc + 2 + 2*NR))
-      allocate(L(NE))
-      L(:) = int(XSS(lc + 3 + 2*NR + NE: lc + 3 + 2*NR + 2*NE - 1))
-
-      ! Continue with finding data length
-      length = length + 2 + 2*NR + 2*NE
-      do i = 1,NE
-        ! Some older data sets use the same LDAT for multiple Ein tables.
-        ! If this is the case, we should skip incrementing length when it is
-        ! not needed.
-        if (i < NE) then
-          if (any(L(i) == L(i + 1: NE))) then
-            ! adjust locators for energy distribution
-            j = lc + 2 + 2*NR + NE + i
-            XSS(j) = XSS(j) - LOCC - lid
-            cycle
-          end if
+        ! check for discrete lines present
+        if (aedist % distribution(i) % n_discrete > 0) then
+          call fatal_error("Discrete lines in correlated angle-energy &
+               &distribution not yet supported")
         end if
 
-        ! outgoing energy distribution
-        NP = int(XSS(lc + length + 2))
+        ! Determine number of points and allocate space
+        NP = nint(XSS(XSS_index + 1))
+        allocate(aedist % distribution(i) % e_out(NP))
+        allocate(aedist % distribution(i) % p(NP))
+        allocate(aedist % distribution(i) % c(NP))
+        allocate(LC(NP))
 
-        ! adjust locators for angular distribution
+        ! Read tabular PDF for outgoing energy
+        XSS_index = XSS_index + 2
+        aedist % distribution(i) % e_out(:) = get_real(NP)
+        aedist % distribution(i) % p(:) = get_real(NP)
+        aedist % distribution(i) % c(:) = get_real(NP)
+        LC(:) = get_int(NP)
+
+        ! allocate angular distributions for each incoming/outgoing energy
+        allocate(aedist % distribution(i) % angle(NP))
         do j = 1, NP
-          k = lc + length + 2 + 3*NP + j
-          if (XSS(k) /= 0) XSS(k) = XSS(k) - LOCC - lid
+          if (LC(j) == 0) then
+            ! isotropic
+            allocate(Uniform :: aedist % distribution(i) % angle(j) % obj)
+            select type (adist => aedist % distribution(i) % angle(j) % obj)
+            type is (Uniform)
+              adist % a = -ONE
+              adist % b = ONE
+            end select
+
+          elseif (LC(j) > 0) then
+            ! tabular distribution
+            allocate(Tabular :: aedist % distribution(i) % angle(j) % obj)
+          end if
         end do
 
-        length = length + 2 + 4*NP
+        ! read angular distributions
         do j = 1, NP
-          ! outgoing angle distribution -- NMU here is actually
-          ! referred to as NP in the MCNP documentation
-          NMU = int(XSS(lc + length + 2))
-          length = length + 2 + 3*NMU
+          XSS_index = LDIS + abs(LC(j)) - 1
+          select type(adist => aedist % distribution(i) % angle(j) % obj)
+          type is (Tabular)
+            ! determine interpolation and number of points
+            interp = nint(XSS(XSS_index))
+            NP = nint(XSS(XSS_index + 1))
+
+            ! Get probability density data
+            XSS_index = XSS_index + 2
+            allocate(adist % x(NP), adist % p(NP), adist % c(NP))
+            adist % x(:) = get_real(NP)
+            adist % p(:) = get_real(NP)
+            adist % c(:) = get_real(NP)
+          end select
         end do
+        deallocate(LC)
 
-        ! adjust locators for energy distribution
-        j = lc + 2 + 2*NR + NE + i
-        XSS(j) = XSS(j) - LOCC - lid
       end do
-      deallocate(L)
-    case (66)
-      ! N-body phase space distribution
-      length = 2
 
-    case (67)
-      ! Laboratory energy-angle law
-      NR  = int(XSS(lc + 1))
-      NE  = int(XSS(lc + 2 + 2*NR))
-      ! Before progressing, check to see if data set uses L(I) values
-      ! in a way inconsistent with the current form of the ACE Format Guide
-      ! (MCNP5 Manual, Vol 3)
-      allocate(L(NE))
-      L(:) = int(XSS(lc + 3 + 2*NR + NE: lc + 3 + 2*NR + 2*NE - 1))
-      ! Don't currently do anything with L
       deallocate(L)
-      ! Continue with finding data length
-      NMU = int(XSS(lc + 4 + 2*NR + 2*NE))
-      length = 4 + 2*(NR + NE + NMU)
 
+    type is (NBodyPhaseSpace)
+      ! ========================================================================
+      ! N-BODY PHASE SPACE DISTRIBUTION
+
+      aedist % n_bodies = int(XSS(XSS_index))
+      aedist % mass_ratio = XSS(XSS_index + 1)
+      aedist % A = awr
+      aedist % Q = Q_value
     end select
 
-  end function length_energy_dist
+  end subroutine get_energy_dist
 
 !===============================================================================
 ! READ_UNR_RES reads in unresolved resonance probability tables if present.
@@ -1372,7 +1544,6 @@ contains
     end if
 
   end subroutine read_unr_res
-
 !===============================================================================
 ! GENERATE_NU_FISSION precalculates the microscopic nu-fission cross section for
 ! a given nuclide. This is done so that the nu_total function does not need to
@@ -1383,20 +1554,11 @@ contains
     type(Nuclide), intent(inout) :: nuc
 
     integer :: i  ! index on nuclide energy grid
-    real(8) :: E  ! energy
-    real(8) :: nu ! # of neutrons per fission
 
-    do i = 1, nuc % n_grid
-      ! determine energy
-      E = nuc % energy(i)
-
-      ! determine total nu at given energy
-      nu = nu_total(nuc, E)
-
-      ! determine nu-fission microscopic cross section
-      nuc % nu_fission(i) = nu * nuc % fission(i)
+    do i = 1, size(nuc % energy)
+      nuc % nu_fission(i) = nuc % nu(nuc % energy(i), EMISSION_TOTAL) * &
+           nuc % fission(i)
     end do
-
   end subroutine generate_nu_fission
 
 !===============================================================================
@@ -1573,26 +1735,4 @@ contains
 
   end function get_real
 
-!===============================================================================
-! SAME_NUCLIDE_LIST creates a linked list for each nuclide containing the
-! indices in the nuclides array of all other instances of that nuclide.  For
-! example, the same nuclide may exist at multiple temperatures resulting
-! in multiple entries in the nuclides array for a single zaid number.
-!===============================================================================
-
-  subroutine same_nuclide_list()
-
-    integer :: i ! index in nuclides array
-    integer :: j ! index in nuclides array
-
-    do i = 1, n_nuclides_total
-      do j = 1, n_nuclides_total
-        if (nuclides(i) % zaid == nuclides(j) % zaid) then
-          call nuclides(i) % nuc_list % push_back(j)
-        end if
-      end do
-    end do
-
-  end subroutine same_nuclide_list
-
 end module ace
diff --git a/src/ace_header.F90 b/src/ace_header.F90
deleted file mode 100644
index 985371ff18..0000000000
--- a/src/ace_header.F90
+++ /dev/null
@@ -1,349 +0,0 @@
-module ace_header
-
-  use constants,   only: MAX_FILE_LEN, ZERO
-  use dict_header, only: DictIntInt
-  use endf_header, only: Tab1
-  use stl_vector,  only: VectorInt
-
-  implicit none
-
-!===============================================================================
-! DISTANGLE contains data for a tabular secondary angle distribution whether it
-! be tabular or 32 equiprobable cosine bins
-!===============================================================================
-
-  type DistAngle
-    integer              :: n_energy    ! # of incoming energies
-    real(8), allocatable :: energy(:)   ! incoming energy grid
-    integer, allocatable :: type(:)     ! type of distribution
-    integer, allocatable :: location(:) ! location of each table
-    real(8), allocatable :: data(:)     ! angular distribution data
-  end type DistAngle
-
-!===============================================================================
-! DISTENERGY contains data for a secondary energy distribution for all
-! scattering laws
-!===============================================================================
-
-  type DistEnergy
-    integer    :: law                 ! secondary distribution law
-    type(Tab1) :: p_valid             ! probability of law validity
-    real(8), allocatable :: data(:)   ! energy distribution data
-
-    ! For reactions that may have multiple energy distributions such as (n,2n),
-    ! this pointer allows multiple laws to be stored
-    type(DistEnergy), pointer :: next => null()
-
-    ! Type-Bound procedures
-    contains
-      procedure :: clear => distenergy_clear ! Deallocates DistEnergy
-  end type DistEnergy
-
-!===============================================================================
-! REACTION contains the cross-section and secondary energy and angle
-! distributions for a single reaction in a continuous-energy ACE-format table
-!===============================================================================
-
-  type Reaction
-    integer :: MT                      ! ENDF MT value
-    real(8) :: Q_value                 ! Reaction Q value
-    integer :: multiplicity            ! Number of secondary particles released
-    type(Tab1), allocatable :: multiplicity_E ! Energy-dependent neutron yield
-    integer :: threshold               ! Energy grid index of threshold
-    logical :: scatter_in_cm           ! scattering system in center-of-mass?
-    logical :: multiplicity_with_E = .false. ! Flag to indicate E-dependent multiplicity
-    real(8), allocatable :: sigma(:)   ! Cross section values
-    logical :: has_angle_dist          ! Angle distribution present?
-    logical :: has_energy_dist         ! Energy distribution present?
-    type(DistAngle)           :: adist ! Secondary angular distribution
-    type(DistEnergy), pointer :: edist => null() ! Secondary energy distribution
-
-    ! Type-Bound procedures
-    contains
-      procedure :: clear => reaction_clear ! Deallocates Reaction
-  end type Reaction
-
-!===============================================================================
-! URRDATA contains probability tables for the unresolved resonance range.
-!===============================================================================
-
-  type UrrData
-    integer :: n_energy        ! # of incident neutron energies
-    integer :: n_prob          ! # of probabilities
-    integer :: interp          ! inteprolation (2=lin-lin, 5=log-log)
-    integer :: inelastic_flag  ! inelastic competition flag
-    integer :: absorption_flag ! other absorption flag
-    logical :: multiply_smooth ! multiply by smooth cross section?
-    real(8), allocatable :: energy(:)   ! incident energies
-    real(8), allocatable :: prob(:,:,:) ! actual probabibility tables
-  end type UrrData
-
-!===============================================================================
-! NUCLIDE contains all the data for an ACE-format continuous-energy cross
-! section. The ACE format (A Compact ENDF format) is used in MCNP and several
-! other Monte Carlo codes.
-!===============================================================================
-
-  type Nuclide
-    character(10) :: name    ! name of nuclide, e.g. 92235.03c
-    integer       :: zaid    ! Z and A identifier, e.g. 92235
-    integer       :: listing ! index in xs_listings
-    real(8)       :: awr     ! weight of nucleus in neutron masses
-    real(8)       :: kT      ! temperature in MeV (k*T)
-
-    ! Linked list of indices in nuclides array of instances of this same nuclide
-    type(VectorInt) :: nuc_list
-
-    ! Energy grid information
-    integer :: n_grid                     ! # of nuclide grid points
-    integer, allocatable :: grid_index(:) ! log grid mapping indices
-    real(8), allocatable :: energy(:)     ! energy values corresponding to xs
-
-    ! Microscopic cross sections
-    real(8), allocatable :: total(:)      ! total cross section
-    real(8), allocatable :: elastic(:)    ! elastic scattering
-    real(8), allocatable :: fission(:)    ! fission
-    real(8), allocatable :: nu_fission(:) ! neutron production
-    real(8), allocatable :: absorption(:) ! absorption (MT > 100)
-    real(8), allocatable :: heating(:)    ! heating
-
-    ! Resonance scattering info
-    logical              :: resonant = .false. ! resonant scatterer?
-    character(10)        :: name_0K = '' ! name of 0K nuclide, e.g. 92235.00c
-    character(16)        :: scheme ! target velocity sampling scheme
-    integer              :: n_grid_0K ! number of 0K energy grid points
-    real(8), allocatable :: energy_0K(:)  ! energy grid for 0K xs
-    real(8), allocatable :: elastic_0K(:) ! Microscopic elastic cross section
-    real(8), allocatable :: xs_cdf(:) ! CDF of v_rel times cross section
-    real(8)              :: E_min ! lower cutoff energy for res scattering
-    real(8)              :: E_max ! upper cutoff energy for res scattering
-
-    ! Fission information
-    logical :: fissionable         ! nuclide is fissionable?
-    logical :: has_partial_fission ! nuclide has partial fission reactions?
-    integer :: n_fission           ! # of fission reactions
-    integer, allocatable :: index_fission(:) ! indices in reactions
-
-    ! Total fission neutron emission
-    integer :: nu_t_type
-    real(8), allocatable :: nu_t_data(:)
-
-    ! Prompt fission neutron emission
-    integer :: nu_p_type
-    real(8), allocatable :: nu_p_data(:)
-
-    ! Delayed fission neutron emission
-    integer :: nu_d_type
-    integer :: n_precursor ! # of delayed neutron precursors
-    real(8), allocatable :: nu_d_data(:)
-    real(8), allocatable :: nu_d_precursor_data(:)
-    type(DistEnergy), pointer :: nu_d_edist(:) => null()
-
-    ! Unresolved resonance data
-    logical                :: urr_present
-    integer                :: urr_inelastic
-    type(UrrData), pointer :: urr_data => null()
-
-    ! Reactions
-    integer :: n_reaction ! # of reactions
-    type(Reaction), allocatable :: reactions(:)
-    type(DictIntInt) :: reaction_index ! map MT values to index in reactions
-                                       ! array; used at tally-time
-
-    ! Type-Bound procedures
-    contains
-      procedure :: clear => nuclide_clear ! Deallocates Nuclide
-  end type Nuclide
-
-!===============================================================================
-! NUCLIDE0K temporarily contains all 0K cross section data and other parameters
-! needed to treat resonance scattering before transferring them to NUCLIDE
-!===============================================================================
-
-  type Nuclide0K
-    character(10) :: nuclide             ! name of nuclide, e.g. U-238
-    character(16) :: scheme = 'ares'     ! target velocity sampling scheme
-    character(10) :: name                ! name of nuclide, e.g. 92235.03c
-    character(10) :: name_0K             ! name of 0K nuclide, e.g. 92235.00c
-    real(8)       :: E_min = 0.01e-6_8   ! lower cutoff energy for res scattering
-    real(8)       :: E_max = 1000.0e-6_8 ! upper cutoff energy for res scattering
-  end type Nuclide0K
-
-!===============================================================================
-! DISTENERGYSAB contains the secondary energy/angle distributions for inelastic
-! thermal scattering collisions which utilize a continuous secondary energy
-! representation.
-!===============================================================================
-
-  type DistEnergySab
-    integer              :: n_e_out
-    real(8), allocatable :: e_out(:)
-    real(8), allocatable :: e_out_pdf(:)
-    real(8), allocatable :: e_out_cdf(:)
-    real(8), allocatable :: mu(:,:)
-  end type DistEnergySab
-
-!===============================================================================
-! SALPHABETA contains S(a,b) data for thermal neutron scattering, typically off
-! of light isotopes such as water, graphite, Be, etc
-!===============================================================================
-
-  type SAlphaBeta
-    character(10) :: name     ! name of table, e.g. lwtr.10t
-    real(8)       :: awr      ! weight of nucleus in neutron masses
-    real(8)       :: kT       ! temperature in MeV (k*T)
-    integer       :: n_zaid   ! Number of valid zaids
-    integer, allocatable :: zaid(:) ! List of valid Z and A identifiers, e.g. 6012
-
-    ! threshold for S(a,b) treatment (usually ~4 eV)
-    real(8) :: threshold_inelastic
-    real(8) :: threshold_elastic = ZERO
-
-    ! Inelastic scattering data
-    integer :: n_inelastic_e_in  ! # of incoming E for inelastic
-    integer :: n_inelastic_e_out ! # of outgoing E for inelastic
-    integer :: n_inelastic_mu    ! # of outgoing angles for inelastic
-    integer :: secondary_mode    ! secondary mode (equal/skewed/continuous)
-    real(8), allocatable :: inelastic_e_in(:)
-    real(8), allocatable :: inelastic_sigma(:)
-    ! The following are used only if secondary_mode is 0 or 1
-    real(8), allocatable :: inelastic_e_out(:,:)
-    real(8), allocatable :: inelastic_mu(:,:,:)
-    ! The following is used only if secondary_mode is 3
-    ! The different implementation is necessary because the continuous
-    ! representation has a variable number of outgoing energy points for each
-    ! incoming energy
-    type(DistEnergySab), allocatable :: inelastic_data(:) ! One for each Ein
-
-    ! Elastic scattering data
-    integer :: elastic_mode   ! elastic mode (discrete/exact)
-    integer :: n_elastic_e_in ! # of incoming E for elastic
-    integer :: n_elastic_mu   ! # of outgoing angles for elastic
-    real(8), allocatable :: elastic_e_in(:)
-    real(8), allocatable :: elastic_P(:)
-    real(8), allocatable :: elastic_mu(:,:)
-  end type SAlphaBeta
-
-!===============================================================================
-! XSLISTING contains data read from a cross_sections.xml file
-!===============================================================================
-
-  type XsListing
-    character(12) :: name       ! table name, e.g. 92235.70c
-    character(12) :: alias      ! table alias, e.g. U-235.70c
-    integer       :: type       ! type of table (cont-E neutron, S(A,b), etc)
-    integer       :: zaid       ! ZAID identifier = 1000*Z + A
-    integer       :: filetype   ! ASCII or BINARY
-    integer       :: location   ! location of table within library
-    integer       :: recl       ! record length for library
-    integer       :: entries    ! number of entries per record
-    real(8)       :: awr        ! atomic weight ratio (# of neutron masses)
-    real(8)       :: kT         ! Boltzmann constant * temperature (MeV)
-    logical       :: metastable ! is this nuclide metastable?
-    character(MAX_FILE_LEN) :: path ! path to library containing table
-  end type XsListing
-
-!===============================================================================
-! NUCLIDEMICROXS contains cached microscopic cross sections for a
-! particular nuclide at the current energy
-!===============================================================================
-
-  type NuclideMicroXS
-    integer :: index_grid      ! index on nuclide energy grid
-    integer :: index_temp      ! temperature index for nuclide
-    real(8) :: last_E = ZERO   ! last evaluated energy
-    real(8) :: interp_factor   ! interpolation factor on nuc. energy grid
-    real(8) :: total           ! microscropic total xs
-    real(8) :: elastic         ! microscopic elastic scattering xs
-    real(8) :: absorption      ! microscopic absorption xs
-    real(8) :: fission         ! microscopic fission xs
-    real(8) :: nu_fission      ! microscopic production xs
-
-    ! Information for S(a,b) use
-    integer :: index_sab          ! index in sab_tables (zero means no table)
-    integer :: last_index_sab = 0 ! index in sab_tables last used by this nuclide
-    real(8) :: elastic_sab        ! microscopic elastic scattering on S(a,b) table
-
-    ! Information for URR probability table use
-    logical :: use_ptable  ! in URR range with probability tables?
-    real(8) :: last_prn
-  end type NuclideMicroXS
-
-!===============================================================================
-! MATERIALMACROXS contains cached macroscopic cross sections for the material a
-! particle is traveling through
-!===============================================================================
-
-  type MaterialMacroXS
-    real(8) :: total         ! macroscopic total xs
-    real(8) :: elastic       ! macroscopic elastic scattering xs
-    real(8) :: absorption    ! macroscopic absorption xs
-    real(8) :: fission       ! macroscopic fission xs
-    real(8) :: nu_fission    ! macroscopic production xs
-  end type MaterialMacroXS
-
-  contains
-
-!===============================================================================
-! DISTENERGY_CLEAR resets and deallocates data in DistEnergy.
-!===============================================================================
-
-    recursive subroutine distenergy_clear(this)
-
-      class(DistEnergy), intent(inout) :: this ! The DistEnergy object to clear
-
-      if (associated(this % next)) then
-        ! recursively clear this item
-        call this % next % clear()
-        deallocate(this % next)
-      end if
-
-    end subroutine distenergy_clear
-
-!===============================================================================
-! REACTION_CLEAR resets and deallocates data in Reaction.
-!===============================================================================
-
-    subroutine reaction_clear(this)
-
-      class(Reaction), intent(inout) :: this ! The Reaction object to clear
-
-      if (associated(this % edist)) then
-        call this % edist % clear()
-        deallocate(this % edist)
-      end if
-
-    end subroutine reaction_clear
-
-!===============================================================================
-! NUCLIDE_CLEAR resets and deallocates data in Nuclide.
-!===============================================================================
-
-    subroutine nuclide_clear(this)
-
-      class(Nuclide), intent(inout) :: this ! The Nuclide object to clear
-
-      integer :: i ! Loop counter
-
-      if (associated(this % nu_d_edist)) then
-        do i = 1, size(this % nu_d_edist)
-          call this % nu_d_edist(i) % clear()
-        end do
-        deallocate(this % nu_d_edist)
-      end if
-
-      if (associated(this % urr_data)) then
-        deallocate(this % urr_data)
-      end if
-
-      if (allocated(this % reactions)) then
-        do i = 1, size(this % reactions)
-          call this % reactions(i) % clear()
-        end do
-      end if
-
-      call this % reaction_index % clear()
-
-    end subroutine nuclide_clear
-
-end module ace_header
diff --git a/src/angle_distribution.F90 b/src/angle_distribution.F90
new file mode 100644
index 0000000000..282d51b73b
--- /dev/null
+++ b/src/angle_distribution.F90
@@ -0,0 +1,63 @@
+module angle_distribution
+
+  use constants, only: ZERO, ONE
+  use distribution_univariate, only: DistributionContainer
+  use random_lcg, only: prn
+  use search, only: binary_search
+
+  implicit none
+  private
+
+!===============================================================================
+! ANGLEDISTRIBUTION represents an angular distribution that is to be used in an
+! uncorrelated angle-energy distribution. This occurs whenever the angle
+! distrbution is given in File 4 in an ENDF file. The distribution of angles
+! depends on the incoming energy of the neutron, so this type stores a
+! distribution for each of a set of incoming energies.
+!===============================================================================
+
+  type, public :: AngleDistribution
+    real(8), allocatable :: energy(:)
+    type(DistributionContainer), allocatable :: distribution(:)
+  contains
+    procedure :: sample => angle_sample
+  end type AngleDistribution
+
+contains
+
+  function angle_sample(this, E) result(mu)
+    class(AngleDistribution), intent(in) :: this
+    real(8), intent(in) :: E  ! incoming energy
+    real(8)             :: mu ! sampled cosine of scattering angle
+
+    integer :: i  ! index on incoming energy grid
+    integer :: n  ! number of incoming energies
+    real(8) :: r  ! interpolation factor on incoming energy grid
+
+    ! Determine number of incoming energies
+    n = size(this%energy)
+
+    ! Find energy bin and calculate interpolation factor -- if the energy is
+    ! outside the range of the tabulated energies, choose the first or last bins
+    if (E < this%energy(1)) then
+      i = 1
+      r = ZERO
+    elseif (E > this%energy(n)) then
+      i = n - 1
+      r = ONE
+    else
+      i = binary_search(this%energy, n, E)
+      r = (E - this%energy(i))/(this%energy(i+1) - this%energy(i))
+    end if
+
+    ! Sample between the ith and (i+1)th bin
+    if (r > prn()) i = i + 1
+
+    ! Sample i-th distribution
+    mu = this%distribution(i)%obj%sample()
+
+    ! Make sure mu is in range [-1,1]
+    if (abs(mu) > ONE) mu = sign(ONE, mu)
+  end function angle_sample
+
+end module angle_distribution
diff --git a/src/angleenergy_header.F90 b/src/angleenergy_header.F90
new file mode 100644
index 0000000000..483bad856c
--- /dev/null
+++ b/src/angleenergy_header.F90
@@ -0,0 +1,29 @@
+module angleenergy_header
+
+!===============================================================================
+! ANGLEENERGY (abstract) defines a correlated or uncorrelated angle-energy
+! distribution that is a function of incoming energy. Each derived type must
+! implement a sample() subroutine that returns an outgoing energy and scattering
+! cosine given an incoming energy.
+!===============================================================================
+
+  type, abstract :: AngleEnergy
+  contains
+    procedure(angleenergy_sample_), deferred :: sample
+  end type AngleEnergy
+
+  abstract interface
+    subroutine angleenergy_sample_(this, E_in, E_out, mu)
+      import AngleEnergy
+      class(AngleEnergy), intent(in) :: this
+      real(8), intent(in) :: E_in
+      real(8), intent(out) :: E_out
+      real(8), intent(out) :: mu
+    end subroutine angleenergy_sample_
+  end interface
+
+  type :: AngleEnergyContainer
+    class(AngleEnergy), allocatable :: obj
+  end type AngleEnergyContainer
+
+end module angleenergy_header
diff --git a/src/bank_header.F90 b/src/bank_header.F90
index 0cb49af35d..97fb1f11fa 100644
--- a/src/bank_header.F90
+++ b/src/bank_header.F90
@@ -14,7 +14,7 @@ module bank_header
     real(C_DOUBLE) :: wgt           ! weight of bank site
     real(C_DOUBLE) :: xyz(3)        ! location of bank particle
     real(C_DOUBLE) :: uvw(3)        ! diretional cosines
-    real(C_DOUBLE) :: E             ! energy
+    real(C_DOUBLE) :: E             ! energy / energy group if in MG mode.
     integer(C_INT) :: delayed_group ! delayed group
   end type Bank
 
diff --git a/src/cmfd_data.F90 b/src/cmfd_data.F90
index 19fe395728..347351e318 100644
--- a/src/cmfd_data.F90
+++ b/src/cmfd_data.F90
@@ -49,13 +49,13 @@ contains
 
   subroutine compute_xs()
 
-    use constants,    only: FILTER_MESH, FILTER_ENERGYIN, FILTER_ENERGYOUT,     &
-                            FILTER_SURFACE, IN_RIGHT, OUT_RIGHT, IN_FRONT,      &
-                            OUT_FRONT, IN_TOP, OUT_TOP, CMFD_NOACCEL, ZERO,     &
-                            ONE, TINY_BIT
+    use constants,    only: FILTER_MESH, FILTER_ENERGYIN, FILTER_ENERGYOUT,    &
+                           FILTER_SURFACE, IN_RIGHT, OUT_RIGHT, IN_FRONT,      &
+                           OUT_FRONT, IN_TOP, OUT_TOP, CMFD_NOACCEL, ZERO,     &
+                           ONE, TINY_BIT
     use error,        only: fatal_error
     use global,       only: cmfd, n_cmfd_tallies, cmfd_tallies, meshes,&
-                            matching_bins
+                           matching_bins
     use mesh,         only: mesh_indices_to_bin
     use mesh_header,  only: RegularMesh
     use string,       only: to_str
@@ -625,10 +625,10 @@ contains
 
   subroutine compute_dhat()
 
-    use constants,  only: CMFD_NOACCEL, ZERO
-    use global,     only: cmfd, cmfd_coremap, dhat_reset
-    use output,     only: write_message
-    use string,     only: to_str
+    use constants, only: CMFD_NOACCEL, ZERO
+    use global,    only: cmfd, cmfd_coremap, dhat_reset
+    use output,    only: write_message
+    use string,    only: to_str
 
     integer :: nx             ! maximum number of cells in x direction
     integer :: ny             ! maximum number of cells in y direction
diff --git a/src/cmfd_execute.F90 b/src/cmfd_execute.F90
index 4dfe99d770..b7d0cc3879 100644
--- a/src/cmfd_execute.F90
+++ b/src/cmfd_execute.F90
@@ -89,9 +89,9 @@ contains
 
   subroutine calc_fission_source()
 
-    use constants,  only: CMFD_NOACCEL, ZERO, TWO
-    use global,     only: cmfd, cmfd_coremap, master, entropy_on, current_batch
-    use string,     only: to_str
+    use constants, only: CMFD_NOACCEL, ZERO, TWO
+    use global,    only: cmfd, cmfd_coremap, master, entropy_on, current_batch
+    use string,    only: to_str
 
 #ifdef MPI
     use global,     only: mpi_err
diff --git a/src/cmfd_input.F90 b/src/cmfd_input.F90
index dac74c9c39..f69c09fe1c 100644
--- a/src/cmfd_input.F90
+++ b/src/cmfd_input.F90
@@ -45,14 +45,14 @@ contains
   subroutine read_cmfd_xml()
 
     use constants, only: ZERO, ONE
-    use error,   only: fatal_error, warning
+    use error,     only: fatal_error, warning
     use global
-    use output,  only: write_message
-    use string,  only: to_lower
+    use output,    only: write_message
+    use string,    only: to_lower
     use xml_interface
     use, intrinsic :: ISO_FORTRAN_ENV
 
-    integer :: i
+    integer :: i, g
     integer :: ng
     integer :: n_params
     integer, allocatable :: iarray(:)
@@ -70,7 +70,7 @@ contains
     inquire(FILE=filename, EXIST=file_exists)
     if (.not. file_exists) then
       ! CMFD is optional unless it is in on from settings
-      if (cmfd_on) then
+      if (cmfd_run) then
         call fatal_error("No CMFD XML file, '" // trim(filename) // "' does not&
              & exist!")
       end if
@@ -102,6 +102,23 @@ contains
       if(.not.allocated(cmfd%egrid)) allocate(cmfd%egrid(ng))
       call get_node_array(node_mesh, "energy", cmfd%egrid)
       cmfd % indices(4) = ng - 1 ! sets energy group dimension
+      ! If using MG mode, check to see if these egrid points at least match
+      ! the MG Data breakpoints
+      if (.not. run_CE) then
+        do i = 1, ng
+          found = .false.
+          do g = 1, energy_groups + 1
+            if (cmfd % egrid(i) == energy_bins(g)) then
+              found = .true.
+              exit
+            end if
+          end do
+          if (.not. found) then
+            call fatal_error("CMFD energy mesh boundaries must align with&
+                             & boundaries of multi-group data!")
+          end if
+        end do
+      end if
     else
       if(.not.allocated(cmfd % egrid)) allocate(cmfd % egrid(2))
       cmfd % egrid = [ ZERO, 20.0_8 ]
diff --git a/src/constants.F90 b/src/constants.F90
index ba77f35aba..127b4507fc 100644
--- a/src/constants.F90
+++ b/src/constants.F90
@@ -7,14 +7,15 @@ module constants
 
   ! OpenMC major, minor, and release numbers
   integer, parameter :: VERSION_MAJOR   = 0
-  integer, parameter :: VERSION_MINOR   = 7
-  integer, parameter :: VERSION_RELEASE = 1
+  integer, parameter :: VERSION_MINOR   = 8
+  integer, parameter :: VERSION_RELEASE = 0
 
   ! Revision numbers for binary files
-  integer, parameter :: REVISION_STATEPOINT       = 14
-  integer, parameter :: REVISION_PARTICLE_RESTART = 1
-  integer, parameter :: REVISION_TRACK            = 1
-  integer, parameter :: REVISION_SUMMARY          = 1
+  integer,       parameter :: REVISION_STATEPOINT       = 15
+  integer,       parameter :: REVISION_PARTICLE_RESTART = 1
+  integer,       parameter :: REVISION_TRACK            = 1
+  integer,       parameter :: REVISION_SUMMARY          = 3
+  character(10), parameter :: MULTIPOLE_VERSION         = "v0.2"
 
   ! ============================================================================
   ! ADJUSTABLE PARAMETERS
@@ -37,7 +38,7 @@ module constants
   real(8), parameter :: FP_COINCIDENT = 1e-12_8
 
   ! Maximum number of collisions/crossings
-  integer, parameter :: MAX_EVENTS = 10000
+  integer, parameter :: MAX_EVENTS = 1000000
   integer, parameter :: MAX_SAMPLE = 100000
 
   ! Maximum number of secondary particles created
@@ -45,10 +46,11 @@ module constants
 
   ! Maximum number of words in a single line, length of line, and length of
   ! single word
-  integer, parameter :: MAX_WORDS    = 500
-  integer, parameter :: MAX_LINE_LEN = 250
-  integer, parameter :: MAX_WORD_LEN = 150
-  integer, parameter :: MAX_FILE_LEN = 255
+  integer, parameter :: MAX_WORDS       = 500
+  integer, parameter :: MAX_LINE_LEN    = 250
+  integer, parameter :: MAX_WORD_LEN    = 150
+  integer, parameter :: MAX_FILE_LEN    = 255
+  integer, parameter :: REGION_SPEC_LEN = 1000
 
   ! Maximum number of external source spatial resamples to encounter before an
   ! error is thrown.
@@ -62,6 +64,7 @@ module constants
 
   real(8), parameter ::                      &
        PI               = 3.1415926535898_8, & ! pi
+       SQRT_PI          = 1.7724538509055_8, & ! square root of pi
        MASS_NEUTRON     = 1.008664916_8,     & ! mass of a neutron in amu
        MASS_NEUTRON_MEV = 939.565379_8,      & ! mass of a neutron in MeV/c^2
        MASS_PROTON      = 1.007276466812_8,  & ! mass of a proton in amu
@@ -76,6 +79,7 @@ module constants
        TWO              = 2.0_8,             &
        THREE            = 3.0_8,             &
        FOUR             = 4.0_8
+  complex(8), parameter :: ONEI = (ZERO, ONE)
 
   ! ============================================================================
   ! GEOMETRY-RELATED CONSTANTS
@@ -138,6 +142,9 @@ module constants
   ! Maximum number of lost particles
   integer, parameter :: MAX_LOST_PARTICLES = 10
 
+  ! Maximum number of lost particles, relative to the total number of particles
+  real(8), parameter :: REL_MAX_LOST_PARTICLES = 1e-6_8
+
   ! ============================================================================
   ! CROSS SECTION RELATED CONSTANTS
 
@@ -157,9 +164,14 @@ module constants
 
   ! Angular distribution type
   integer, parameter :: &
-       ANGLE_ISOTROPIC = 1, & ! Isotropic angular distribution
-       ANGLE_32_EQUI   = 2, & ! 32 equiprobable bins
-       ANGLE_TABULAR   = 3    ! Tabular angular distribution
+       ANGLE_ISOTROPIC = 1, & ! Isotropic angular distribution (CE)
+       ANGLE_32_EQUI   = 2, & ! 32 equiprobable bins (CE)
+       ANGLE_TABULAR   = 3, & ! Tabular angular distribution (CE or MG)
+       ANGLE_LEGENDRE  = 4, & ! Legendre angular distribution (MG)
+       ANGLE_HISTOGRAM = 5    ! Histogram angular distribution (MG)
+
+  ! Number of mu bins to use when converting Legendres to tabular type
+  integer, parameter :: DEFAULT_NMU = 33
 
   ! Secondary energy mode for S(a,b) inelastic scattering
   integer, parameter :: &
@@ -174,28 +186,28 @@ module constants
 
   ! Reaction types
   integer, parameter :: &
-       TOTAL_XS = 1,  ELASTIC = 2,  N_LEVEL = 4,   MISC = 5,      N_2ND   = 11, &
-       N_2N    = 16,  N_3N   = 17,  N_FISSION = 18, N_F    = 19,  N_NF    = 20, &
-       N_2NF   = 21,  N_NA   = 22,  N_N3A   = 23,  N_2NA   = 24,  N_3NA   = 25, &
-       N_NP    = 28,  N_N2A  = 29,  N_2N2A  = 30,  N_ND    = 32,  N_NT    = 33, &
-       N_N3HE  = 34,  N_ND2A = 35,  N_NT2A  = 36,  N_4N    = 37,  N_3NF   = 38, &
-       N_2NP   = 41,  N_3NP  = 42,  N_N2P   = 44,  N_NPA   = 45,  N_N1    = 51, &
-       N_N40   = 90,  N_NC   = 91,  N_DISAPPEAR = 101, N_GAMMA = 102, N_P = 103, &
-       N_D     = 104, N_T    = 105, N_3HE   = 106, N_A     = 107, N_2A    = 108, &
-       N_3A    = 109, N_2P   = 111, N_PA    = 112, N_T2A   = 113, N_D2A   = 114, &
-       N_PD    = 115, N_PT   = 116, N_DA    = 117, N_5N    = 152, N_6N    = 153, &
-       N_2NT   = 154, N_TA   = 155, N_4NP   = 156, N_3ND   = 157, N_NDA   = 158, &
-       N_2NPA  = 159, N_7N   = 160, N_8N    = 161, N_5NP   = 162, N_6NP   = 163, &
-       N_7NP   = 164, N_4NA  = 165, N_5NA   = 166, N_6NA   = 167, N_7NA   = 168, &
-       N_4ND   = 169, N_5ND  = 170, N_6ND   = 171, N_3NT   = 172, N_4NT   = 173, &
-       N_5NT   = 174, N_6NT  = 175, N_2N3HE = 176, N_3N3HE = 177, N_4N3HE = 178, &
-       N_3N2P  = 179, N_3N3A = 180, N_3NPA  = 181, N_DT    = 182, N_NPD   = 183, &
-       N_NPT   = 184, N_NDT  = 185, N_NP3HE = 186, N_ND3HE = 187, N_NT3HE = 188, &
-       N_NTA   = 189, N_2N2P = 190, N_P3HE  = 191, N_D3HE  = 192, N_3HEA  = 193, &
-       N_4N2P  = 194, N_4N2A = 195, N_4NPA  = 196, N_3P    = 197, N_N3P   = 198, &
-       N_3N2PA = 199, N_5N2P = 200, N_P0    = 600, N_PC    = 649, N_D0    = 650, &
-       N_DC    = 699, N_T0   = 700, N_TC    = 749, N_3HE0  = 750, N_3HEC  = 799, &
-       N_A0    = 800, N_AC   = 849, N_2N0   = 875, N_2NC   = 891
+       TOTAL_XS = 1,  ELASTIC = 2,   N_NONELASTIC = 3, N_LEVEL = 4, MISC  = 5,   &
+       N_2ND   = 11,  N_2N    = 16,  N_3N   = 17,  N_FISSION = 18, N_F    = 19,  &
+       N_NF    = 20,  N_2NF   = 21,  N_NA   = 22,  N_N3A   = 23,  N_2NA   = 24,  &
+       N_3NA   = 25,  N_NP    = 28,  N_N2A  = 29,  N_2N2A  = 30,  N_ND    = 32,  &
+       N_NT    = 33,  N_N3HE  = 34,  N_ND2A = 35,  N_NT2A  = 36,  N_4N    = 37,  &
+       N_3NF   = 38,  N_2NP   = 41,  N_3NP  = 42,  N_N2P   = 44,  N_NPA   = 45,  &
+       N_N1    = 51,  N_N40   = 90,  N_NC   = 91,  N_DISAPPEAR = 101, N_GAMMA = 102, &
+       N_P     = 103, N_D     = 104, N_T    = 105, N_3HE   = 106, N_A     = 107, &
+       N_2A    = 108, N_3A    = 109, N_2P   = 111, N_PA    = 112, N_T2A   = 113, &
+       N_D2A   = 114, N_PD    = 115, N_PT   = 116, N_DA    = 117, N_5N    = 152, &
+       N_6N    = 153, N_2NT   = 154, N_TA   = 155, N_4NP   = 156, N_3ND   = 157, &
+       N_NDA   = 158, N_2NPA  = 159, N_7N   = 160, N_8N    = 161, N_5NP   = 162, &
+       N_6NP   = 163, N_7NP   = 164, N_4NA  = 165, N_5NA   = 166, N_6NA   = 167, &
+       N_7NA   = 168, N_4ND   = 169, N_5ND  = 170, N_6ND   = 171, N_3NT   = 172, &
+       N_4NT   = 173, N_5NT   = 174, N_6NT  = 175, N_2N3HE = 176, N_3N3HE = 177, &
+       N_4N3HE = 178, N_3N2P  = 179, N_3N3A = 180, N_3NPA  = 181, N_DT    = 182, &
+       N_NPD   = 183, N_NPT   = 184, N_NDT  = 185, N_NP3HE = 186, N_ND3HE = 187, &
+       N_NT3HE = 188, N_NTA   = 189, N_2N2P = 190, N_P3HE  = 191, N_D3HE  = 192, &
+       N_3HEA  = 193, N_4N2P  = 194, N_4N2A = 195, N_4NPA  = 196, N_3P    = 197, &
+       N_N3P   = 198, N_3N2PA = 199, N_5N2P = 200, N_P0    = 600, N_PC    = 649, &
+       N_D0    = 650, N_DC    = 699, N_T0   = 700, N_TC    = 749, N_3HE0  = 750, &
+       N_3HEC  = 799, N_A0    = 800, N_AC   = 849, N_2N0   = 875, N_2NC   = 891
 
   ! ACE table types
   integer, parameter :: &
@@ -203,12 +215,23 @@ module constants
        ACE_THERMAL   = 2, & ! thermal S(a,b) scattering data
        ACE_DOSIMETRY = 3    ! dosimetry cross sections
 
+  ! MGXS Table Types
+  integer, parameter :: &
+       MGXS_ISOTROPIC   = 1, & ! Isotropically Weighted Data
+       MGXS_ANGLE       = 2    ! Data by Angular Bins
+
   ! Fission neutron emission (nu) type
   integer, parameter ::   &
        NU_NONE       = 0, & ! No nu values (non-fissionable)
        NU_POLYNOMIAL = 1, & ! Nu values given by polynomial
        NU_TABULAR    = 2    ! Nu values given by tabular distribution
 
+  ! Secondary particle emission type
+  integer, parameter :: &
+       EMISSION_PROMPT = 1,  & ! Prompt emission of secondary particle
+       EMISSION_DELAYED = 2, & ! Delayed emission of secondary particle
+       EMISSION_TOTAL = 3      ! Yield represents total emission (prompt + delayed)
+
   ! Cross section filetypes
   integer, parameter :: &
        ASCII  = 1, & ! ASCII cross section file
@@ -259,7 +282,7 @@ module constants
        EVENT_ABSORB  =  2
 
   ! Tally score type
-  integer, parameter :: N_SCORE_TYPES = 22
+  integer, parameter :: N_SCORE_TYPES = 20
   integer, parameter :: &
        SCORE_FLUX               = -1,  & ! flux
        SCORE_TOTAL              = -2,  & ! total reaction rate
@@ -269,20 +292,18 @@ module constants
        SCORE_SCATTER_PN         = -6,  & ! system for scoring 0th through nth moment
        SCORE_NU_SCATTER_N       = -7,  & ! arbitrary nu-scattering moment
        SCORE_NU_SCATTER_PN      = -8,  & ! system for scoring 0th through nth nu-scatter moment
-       SCORE_TRANSPORT          = -9,  & ! transport reaction rate
-       SCORE_N_1N               = -10, & ! (n,1n) rate
-       SCORE_ABSORPTION         = -11, & ! absorption rate
-       SCORE_FISSION            = -12, & ! fission rate
-       SCORE_NU_FISSION         = -13, & ! neutron production rate
-       SCORE_KAPPA_FISSION      = -14, & ! fission energy production rate
-       SCORE_CURRENT            = -15, & ! partial current
-       SCORE_FLUX_YN            = -16, & ! angular moment of flux
-       SCORE_TOTAL_YN           = -17, & ! angular moment of total reaction rate
-       SCORE_SCATTER_YN         = -18, & ! angular flux-weighted scattering moment (0:N)
-       SCORE_NU_SCATTER_YN      = -19, & ! angular flux-weighted nu-scattering moment (0:N)
-       SCORE_EVENTS             = -20, & ! number of events
-       SCORE_DELAYED_NU_FISSION = -21, & ! delayed neutron production rate
-       SCORE_INVERSE_VELOCITY   = -22    ! flux-weighted inverse velocity
+       SCORE_ABSORPTION         = -9,  & ! absorption rate
+       SCORE_FISSION            = -10, & ! fission rate
+       SCORE_NU_FISSION         = -11, & ! neutron production rate
+       SCORE_KAPPA_FISSION      = -12, & ! fission energy production rate
+       SCORE_CURRENT            = -13, & ! partial current
+       SCORE_FLUX_YN            = -14, & ! angular moment of flux
+       SCORE_TOTAL_YN           = -15, & ! angular moment of total reaction rate
+       SCORE_SCATTER_YN         = -16, & ! angular flux-weighted scattering moment (0:N)
+       SCORE_NU_SCATTER_YN      = -17, & ! angular flux-weighted nu-scattering moment (0:N)
+       SCORE_EVENTS             = -18, & ! number of events
+       SCORE_DELAYED_NU_FISSION = -19, & ! delayed neutron production rate
+       SCORE_INVERSE_VELOCITY   = -20    ! flux-weighted inverse velocity
 
   ! Maximum scattering order supported
   integer, parameter :: MAX_ANG_ORDER = 10
@@ -351,32 +372,11 @@ module constants
   ! ============================================================================
   ! RANDOM NUMBER STREAM CONSTANTS
 
-  integer, parameter :: N_STREAMS = 3
-  integer, parameter :: STREAM_TRACKING = 1
-  integer, parameter :: STREAM_TALLIES  = 2
-  integer, parameter :: STREAM_SOURCE   = 3
-
-  ! ============================================================================
-  ! EXTERNAL SOURCE PARAMETERS
-
-  ! Source spatial distribution types
-  integer, parameter :: &
-       SRC_SPACE_BOX     = 1, & ! Source in a rectangular prism
-       SRC_SPACE_POINT   = 2, & ! Source at a single point
-       SRC_SPACE_FISSION = 3    ! Source in prism filtered by fissionable mats
-
-  ! Source angular distribution types
-  integer, parameter :: &
-       SRC_ANGLE_ISOTROPIC = 1, & ! Isotropic angular
-       SRC_ANGLE_MONO      = 2, & ! Monodirectional source
-       SRC_ANGLE_TABULAR   = 3    ! Tabular distribution
-
-  ! Source energy distribution types
-  integer, parameter :: &
-       SRC_ENERGY_MONO    = 1, & ! Monoenergetic source
-       SRC_ENERGY_MAXWELL = 2, & ! Maxwell fission spectrum
-       SRC_ENERGY_WATT    = 3, & ! Watt fission spectrum
-       SRC_ENERGY_TABULAR = 4    ! Tabular distribution
+  integer, parameter :: N_STREAMS = 4
+  integer, parameter :: STREAM_TRACKING   = 1
+  integer, parameter :: STREAM_TALLIES    = 2
+  integer, parameter :: STREAM_SOURCE     = 3
+  integer, parameter :: STREAM_URR_PTABLE = 4
 
   ! ============================================================================
   ! MISCELLANEOUS CONSTANTS
diff --git a/src/cross_section.F90 b/src/cross_section.F90
index f874eb2a74..a8acb25a83 100644
--- a/src/cross_section.F90
+++ b/src/cross_section.F90
@@ -1,16 +1,20 @@
 module cross_section
 
-  use ace_header,      only: Nuclide, SAlphaBeta, Reaction, UrrData
   use constants
-  use energy_grid,     only: grid_method, log_spacing
-  use error,           only: fatal_error
-  use fission,         only: nu_total
+  use energy_grid,      only: grid_method, log_spacing
+  use error,            only: fatal_error
   use global
-  use list_header,     only: ListElemInt
-  use material_header, only: Material
-  use particle_header, only: Particle
-  use random_lcg,      only: prn
-  use search,          only: binary_search
+  use list_header,      only: ListElemInt
+  use material_header,  only: Material
+  use math,             only: faddeeva, broaden_wmp_polynomials
+  use multipole_header, only: FORM_RM, FORM_MLBW, MP_EA, RM_RT, RM_RA, RM_RF, &
+                              MLBW_RT, MLBW_RX, MLBW_RA, MLBW_RF, FIT_T, FIT_A,&
+                              FIT_F, MultipoleArray
+  use nuclide_header
+  use particle_header,  only: Particle
+  use random_lcg,       only: prn, future_prn, prn_set_stream
+  use sab_header,       only: SAlphaBeta
+  use search,           only: binary_search
 
   implicit none
 
@@ -93,10 +97,13 @@ contains
       i_nuclide = mat % nuclide(i)
 
       ! Calculate microscopic cross section for this nuclide
-      if (p % E /= micro_xs(i_nuclide) % last_E) then
-        call calculate_nuclide_xs(i_nuclide, i_sab, p % E, p % material, i, i_grid)
+      if (p % E /= micro_xs(i_nuclide) % last_E &
+           .or. p % sqrtkT /= micro_xs(i_nuclide) % last_sqrtkT) then
+        call calculate_nuclide_xs(i_nuclide, i_sab, p % E, p % material, i, &
+             i_grid, p % sqrtkT)
       else if (i_sab /= micro_xs(i_nuclide) % last_index_sab) then
-        call calculate_nuclide_xs(i_nuclide, i_sab, p % E, p % material, i, i_grid)
+        call calculate_nuclide_xs(i_nuclide, i_sab, p % E, p % material, i, &
+             i_grid, p % sqrtkT)
       end if
 
       ! ========================================================================
@@ -133,7 +140,8 @@ contains
 ! given index in the nuclides array at the energy of the given particle
 !===============================================================================
 
-  subroutine calculate_nuclide_xs(i_nuclide, i_sab, E, i_mat, i_nuc_mat, i_log_union)
+  subroutine calculate_nuclide_xs(i_nuclide, i_sab, E, i_mat, i_nuc_mat, &
+       i_log_union, sqrtkT)
     integer, intent(in) :: i_nuclide ! index into nuclides array
     integer, intent(in) :: i_sab     ! index into sab_tables array
     real(8), intent(in) :: E         ! energy
@@ -141,65 +149,132 @@ contains
     integer, intent(in) :: i_nuc_mat ! index into nuclides array for a material
     integer, intent(in) :: i_log_union ! index into logarithmic mapping array or
                                        ! material union energy grid
+    real(8), intent(in) :: sqrtkT    ! Square root of kT, material dependent
 
+    logical :: use_mp ! true if XS can be calculated with windowed multipole
     integer :: i_grid ! index on nuclide energy grid
     integer :: i_low  ! lower logarithmic mapping index
     integer :: i_high ! upper logarithmic mapping index
     real(8) :: f      ! interp factor on nuclide energy grid
-    type(Nuclide),  pointer :: nuc
+    real(8) :: sigT, sigA, sigF ! Intermediate multipole variables
+    type(Nuclide), pointer :: nuc
     type(Material), pointer :: mat
 
     ! Set pointer to nuclide and material
     nuc => nuclides(i_nuclide)
     mat => materials(i_mat)
 
-    ! Determine index on nuclide energy grid
-    select case (grid_method)
-    case (GRID_MAT_UNION)
+    ! Check to see if there is multipole data present at this energy
+    use_mp = .false.
+    if (nuc % mp_present) then
+      if (E >= nuc % multipole % start_E/1.0e6_8 .and. &
+           E <= nuc % multipole % end_E/1.0e6_8) then
+        use_mp = .true.
+      end if
+    end if
 
-      i_grid = mat % nuclide_grid_index(i_nuc_mat, i_log_union)
+    ! Evaluate multipole or interpolate
+    if (use_mp) then
+      ! Call multipole kernel
+      call multipole_eval(nuc % multipole, E, sqrtkT, sigT, sigA, sigF)
 
-    case (GRID_LOGARITHM)
-      ! Determine the energy grid index using a logarithmic mapping to reduce
-      ! the energy range over which a binary search needs to be performed
+      micro_xs(i_nuclide) % total = sigT
+      micro_xs(i_nuclide) % absorption = sigA
+      micro_xs(i_nuclide) % elastic = sigT - sigA
 
-      if (E < nuc % energy(1)) then
-        i_grid = 1
-      elseif (E > nuc % energy(nuc % n_grid)) then
-        i_grid = nuc % n_grid - 1
+      if (nuc % fissionable) then
+        micro_xs(i_nuclide) % fission = sigF
+        micro_xs(i_nuclide) % nu_fission = sigF * nuc % nu(E, EMISSION_TOTAL)
       else
-        ! Determine bounding indices based on which equal log-spaced interval
-        ! the energy is in
-        i_low  = nuc % grid_index(i_log_union)
-        i_high = nuc % grid_index(i_log_union + 1) + 1
-
-        ! Perform binary search over reduced range
-        i_grid = binary_search(nuc % energy(i_low:i_high), &
-             i_high - i_low + 1, E) + i_low - 1
+        micro_xs(i_nuclide) % fission    = ZERO
+        micro_xs(i_nuclide) % nu_fission = ZERO
       end if
 
-    case (GRID_NUCLIDE)
-      ! Perform binary search on the nuclide energy grid in order to determine
-      ! which points to interpolate between
+      ! Ensure these values are set
+      ! Note, the only time either is used is in one of 4 places:
+      ! 1. physics.F90 - scatter - For inelastic scatter.
+      ! 2. physics.F90 - sample_fission - For partial fissions.
+      ! 3. tally.F90 - score_general - For tallying on MTxxx reactions.
+      ! 4. cross_section.F90 - calculate_urr_xs - For unresolved purposes.
+      ! It is worth noting that none of these occur in the resolved
+      ! resonance range, so the value here does not matter.
+      micro_xs(i_nuclide) % index_grid    = 0
+      micro_xs(i_nuclide) % interp_factor = ZERO
+    else
+      ! Determine index on nuclide energy grid
+      select case (grid_method)
+      case (GRID_MAT_UNION)
 
-      if (E <= nuc % energy(1)) then
-        i_grid = 1
-      elseif (E > nuc % energy(nuc % n_grid)) then
-        i_grid = nuc % n_grid - 1
-      else
-        i_grid = binary_search(nuc % energy, nuc % n_grid, E)
+        i_grid = mat % nuclide_grid_index(i_nuc_mat, i_log_union)
+
+      case (GRID_LOGARITHM)
+        ! Determine the energy grid index using a logarithmic mapping to reduce
+        ! the energy range over which a binary search needs to be performed
+
+        if (E < nuc % energy(1)) then
+          i_grid = 1
+        elseif (E > nuc % energy(nuc % n_grid)) then
+          i_grid = nuc % n_grid - 1
+        else
+          ! Determine bounding indices based on which equal log-spaced interval
+          ! the energy is in
+          i_low  = nuc % grid_index(i_log_union)
+          i_high = nuc % grid_index(i_log_union + 1) + 1
+
+          ! Perform binary search over reduced range
+          i_grid = binary_search(nuc % energy(i_low:i_high), &
+               i_high - i_low + 1, E) + i_low - 1
+        end if
+
+      case (GRID_NUCLIDE)
+        ! Perform binary search on the nuclide energy grid in order to determine
+        ! which points to interpolate between
+
+        if (E <= nuc % energy(1)) then
+          i_grid = 1
+        elseif (E > nuc % energy(nuc % n_grid)) then
+          i_grid = nuc % n_grid - 1
+        else
+          i_grid = binary_search(nuc % energy, nuc % n_grid, E)
+        end if
+
+      end select
+
+      ! check for rare case where two energy points are the same
+      if (nuc % energy(i_grid) == nuc % energy(i_grid+1)) i_grid = i_grid + 1
+
+      ! calculate interpolation factor
+      f = (E - nuc%energy(i_grid))/(nuc%energy(i_grid+1) - nuc%energy(i_grid))
+
+      micro_xs(i_nuclide) % index_grid    = i_grid
+      micro_xs(i_nuclide) % interp_factor = f
+
+      ! Initialize nuclide cross-sections to zero
+      micro_xs(i_nuclide) % fission    = ZERO
+      micro_xs(i_nuclide) % nu_fission = ZERO
+
+      ! Calculate microscopic nuclide total cross section
+      micro_xs(i_nuclide) % total = (ONE - f) * nuc % total(i_grid) &
+           + f * nuc % total(i_grid+1)
+
+      ! Calculate microscopic nuclide elastic cross section
+      micro_xs(i_nuclide) % elastic = (ONE - f) * nuc % elastic(i_grid) &
+           + f * nuc % elastic(i_grid+1)
+
+      ! Calculate microscopic nuclide absorption cross section
+      micro_xs(i_nuclide) % absorption = (ONE - f) * nuc % absorption( &
+           i_grid) + f * nuc % absorption(i_grid+1)
+
+      if (nuc % fissionable) then
+        ! Calculate microscopic nuclide total cross section
+        micro_xs(i_nuclide) % fission = (ONE - f) * nuc % fission(i_grid) &
+             + f * nuc % fission(i_grid+1)
+
+        ! Calculate microscopic nuclide nu-fission cross section
+        micro_xs(i_nuclide) % nu_fission = (ONE - f) * nuc % nu_fission( &
+             i_grid) + f * nuc % nu_fission(i_grid+1)
       end if
-
-    end select
-
-    ! check for rare case where two energy points are the same
-    if (nuc % energy(i_grid) == nuc % energy(i_grid+1)) i_grid = i_grid + 1
-
-    ! calculate interpolation factor
-    f = (E - nuc%energy(i_grid))/(nuc%energy(i_grid+1) - nuc%energy(i_grid))
-
-    micro_xs(i_nuclide) % index_grid    = i_grid
-    micro_xs(i_nuclide) % interp_factor = f
+    end if
 
     ! Initialize sab treatment to false
     micro_xs(i_nuclide) % index_sab   = NONE
@@ -208,32 +283,6 @@ contains
     ! Initialize URR probability table treatment to false
     micro_xs(i_nuclide) % use_ptable  = .false.
 
-    ! Initialize nuclide cross-sections to zero
-    micro_xs(i_nuclide) % fission    = ZERO
-    micro_xs(i_nuclide) % nu_fission = ZERO
-
-    ! Calculate microscopic nuclide total cross section
-    micro_xs(i_nuclide) % total = (ONE - f) * nuc % total(i_grid) &
-         + f * nuc % total(i_grid+1)
-
-    ! Calculate microscopic nuclide elastic cross section
-    micro_xs(i_nuclide) % elastic = (ONE - f) * nuc % elastic(i_grid) &
-         + f * nuc % elastic(i_grid+1)
-
-    ! Calculate microscopic nuclide absorption cross section
-    micro_xs(i_nuclide) % absorption = (ONE - f) * nuc % absorption( &
-         i_grid) + f * nuc % absorption(i_grid+1)
-
-    if (nuc % fissionable) then
-      ! Calculate microscopic nuclide total cross section
-      micro_xs(i_nuclide) % fission = (ONE - f) * nuc % fission(i_grid) &
-           + f * nuc % fission(i_grid+1)
-
-      ! Calculate microscopic nuclide nu-fission cross section
-      micro_xs(i_nuclide) % nu_fission = (ONE - f) * nuc % nu_fission( &
-           i_grid) + f * nuc % nu_fission(i_grid+1)
-    end if
-
     ! If there is S(a,b) data for this nuclide, we need to do a few
     ! things. Since the total cross section was based on non-S(a,b) data, we
     ! need to correct it by subtracting the non-S(a,b) elastic cross section and
@@ -253,6 +302,7 @@ contains
 
     micro_xs(i_nuclide) % last_E = E
     micro_xs(i_nuclide) % last_index_sab = i_sab
+    micro_xs(i_nuclide) % last_sqrtkT = sqrtkT
 
   end subroutine calculate_nuclide_xs
 
@@ -352,154 +402,136 @@ contains
     integer, intent(in) :: i_nuclide ! index into nuclides array
     real(8), intent(in) :: E         ! energy
 
-    integer :: i            ! loop index
     integer :: i_energy     ! index for energy
     integer :: i_low        ! band index at lower bounding energy
     integer :: i_up         ! band index at upper bounding energy
-    integer :: same_nuc_idx ! index of same nuclide
     real(8) :: f            ! interpolation factor
     real(8) :: r            ! pseudo-random number
     real(8) :: elastic      ! elastic cross section
     real(8) :: capture      ! (n,gamma) cross section
     real(8) :: fission      ! fission cross section
     real(8) :: inelastic    ! inelastic cross section
-    logical :: same_nuc     ! do we know the xs for this nuclide at this energy?
-    type(UrrData),  pointer :: urr
-    type(Nuclide),  pointer :: nuc
 
     micro_xs(i_nuclide) % use_ptable = .true.
 
-    ! get pointer to probability table
-    nuc => nuclides(i_nuclide)
-    urr => nuc % urr_data
+    associate (nuc => nuclides(i_nuclide), urr => nuclides(i_nuclide) % urr_data)
+      ! determine energy table
+      i_energy = 1
+      do
+        if (E < urr % energy(i_energy + 1)) exit
+        i_energy = i_energy + 1
+      end do
 
-    ! determine energy table
-    i_energy = 1
-    do
-      if (E < urr % energy(i_energy + 1)) exit
-      i_energy = i_energy + 1
-    end do
+      ! determine interpolation factor on table
+      f = (E - urr % energy(i_energy)) / &
+           (urr % energy(i_energy + 1) - urr % energy(i_energy))
 
-    ! determine interpolation factor on table
-    f = (E - urr % energy(i_energy)) / &
-         (urr % energy(i_energy + 1) - urr % energy(i_energy))
+      ! sample probability table using the cumulative distribution
 
-    ! sample probability table using the cumulative distribution
+      ! Random numbers for xs calculation are sampled from a separated stream.
+      ! This guarantees the randomness and, at the same time, makes sure we reuse
+      ! random number for the same nuclide at different temperatures, therefore
+      ! preserving correlation of temperature in probability tables.
+      call prn_set_stream(STREAM_URR_PTABLE)
+      r = future_prn(int(nuc_zaid_dict % get_key(nuc % zaid), 8))
+      call prn_set_stream(STREAM_TRACKING)
 
-    ! if we're dealing with a nuclide that we've previously encountered at
-    ! this energy but a different temperature, use the original random number to
-    ! preserve correlation of temperature in probability tables
-    same_nuc = .false.
-    do i = 1, nuc % nuc_list % size()
-      if (E /= ZERO .and. E == micro_xs(nuc % nuc_list % data(i)) % last_E) then
-        same_nuc = .true.
-        same_nuc_idx = i
-        exit
-      end if
-    end do
+      i_low = 1
+      do
+        if (urr % prob(i_energy, URR_CUM_PROB, i_low) > r) exit
+        i_low = i_low + 1
+      end do
+      i_up = 1
+      do
+        if (urr % prob(i_energy + 1, URR_CUM_PROB, i_up) > r) exit
+        i_up = i_up + 1
+      end do
 
-    if (same_nuc) then
-      r = micro_xs(nuc % nuc_list % data(same_nuc_idx)) % last_prn
-    else
-      r = prn()
-      micro_xs(i_nuclide) % last_prn = r
-    end if
+      ! determine elastic, fission, and capture cross sections from probability
+      ! table
+      if (urr % interp == LINEAR_LINEAR) then
+        elastic = (ONE - f) * urr % prob(i_energy, URR_ELASTIC, i_low) + &
+             f * urr % prob(i_energy + 1, URR_ELASTIC, i_up)
+        fission = (ONE - f) * urr % prob(i_energy, URR_FISSION, i_low) + &
+             f * urr % prob(i_energy + 1, URR_FISSION, i_up)
+        capture = (ONE - f) * urr % prob(i_energy, URR_N_GAMMA, i_low) + &
+             f * urr % prob(i_energy + 1, URR_N_GAMMA, i_up)
+      elseif (urr % interp == LOG_LOG) then
+        ! Get logarithmic interpolation factor
+        f = log(E / urr % energy(i_energy)) / &
+             log(urr % energy(i_energy + 1) / urr % energy(i_energy))
 
-    i_low = 1
-    do
-      if (urr % prob(i_energy, URR_CUM_PROB, i_low) > r) exit
-      i_low = i_low + 1
-    end do
-    i_up = 1
-    do
-      if (urr % prob(i_energy + 1, URR_CUM_PROB, i_up) > r) exit
-      i_up = i_up + 1
-    end do
-
-    ! determine elastic, fission, and capture cross sections from probability
-    ! table
-    if (urr % interp == LINEAR_LINEAR) then
-      elastic = (ONE - f) * urr % prob(i_energy, URR_ELASTIC, i_low) + &
-           f * urr % prob(i_energy + 1, URR_ELASTIC, i_up)
-      fission = (ONE - f) * urr % prob(i_energy, URR_FISSION, i_low) + &
-           f * urr % prob(i_energy + 1, URR_FISSION, i_up)
-      capture = (ONE - f) * urr % prob(i_energy, URR_N_GAMMA, i_low) + &
-           f * urr % prob(i_energy + 1, URR_N_GAMMA, i_up)
-    elseif (urr % interp == LOG_LOG) then
-      ! Get logarithmic interpolation factor
-      f = log(E / urr % energy(i_energy)) / &
-           log(urr % energy(i_energy + 1) / urr % energy(i_energy))
-
-      ! Calculate elastic cross section/factor
-      elastic = ZERO
-      if (urr % prob(i_energy, URR_ELASTIC, i_low) > ZERO .and. &
-           urr % prob(i_energy + 1, URR_ELASTIC, i_up) > ZERO) then
-        elastic = exp((ONE - f) * log(urr % prob(i_energy, URR_ELASTIC, &
-             i_low)) + f * log(urr % prob(i_energy + 1, URR_ELASTIC, &
-             i_up)))
-      end if
-
-      ! Calculate fission cross section/factor
-      fission = ZERO
-      if (urr % prob(i_energy, URR_FISSION, i_low) > ZERO .and. &
-           urr % prob(i_energy + 1, URR_FISSION, i_up) > ZERO) then
-        fission = exp((ONE - f) * log(urr % prob(i_energy, URR_FISSION, &
-             i_low)) + f * log(urr % prob(i_energy + 1, URR_FISSION, &
-             i_up)))
-      end if
-
-      ! Calculate capture cross section/factor
-      capture = ZERO
-      if (urr % prob(i_energy, URR_N_GAMMA, i_low) > ZERO .and. &
-           urr % prob(i_energy + 1, URR_N_GAMMA, i_up) > ZERO) then
-        capture = exp((ONE - f) * log(urr % prob(i_energy, URR_N_GAMMA, &
-             i_low)) + f * log(urr % prob(i_energy + 1, URR_N_GAMMA, &
-             i_up)))
-      end if
-    end if
-
-    ! Determine treatment of inelastic scattering
-    inelastic = ZERO
-    if (urr % inelastic_flag > 0) then
-      ! Get index on energy grid and interpolation factor
-      i_energy = micro_xs(i_nuclide) % index_grid
-      f = micro_xs(i_nuclide) % interp_factor
-
-      ! Determine inelastic scattering cross section
-      associate (rxn => nuc % reactions(nuc % urr_inelastic))
-        if (i_energy >= rxn % threshold) then
-          inelastic = (ONE - f) * rxn % sigma(i_energy - rxn%threshold + 1) + &
-               f * rxn % sigma(i_energy - rxn%threshold + 2)
+        ! Calculate elastic cross section/factor
+        elastic = ZERO
+        if (urr % prob(i_energy, URR_ELASTIC, i_low) > ZERO .and. &
+             urr % prob(i_energy + 1, URR_ELASTIC, i_up) > ZERO) then
+          elastic = exp((ONE - f) * log(urr % prob(i_energy, URR_ELASTIC, &
+               i_low)) + f * log(urr % prob(i_energy + 1, URR_ELASTIC, &
+               i_up)))
         end if
-      end associate
-    end if
 
-    ! Multiply by smooth cross-section if needed
-    if (urr % multiply_smooth) then
-      elastic = elastic * micro_xs(i_nuclide) % elastic
-      capture = capture * (micro_xs(i_nuclide) % absorption - &
-           micro_xs(i_nuclide) % fission)
-      fission = fission * micro_xs(i_nuclide) % fission
-    end if
+        ! Calculate fission cross section/factor
+        fission = ZERO
+        if (urr % prob(i_energy, URR_FISSION, i_low) > ZERO .and. &
+             urr % prob(i_energy + 1, URR_FISSION, i_up) > ZERO) then
+          fission = exp((ONE - f) * log(urr % prob(i_energy, URR_FISSION, &
+               i_low)) + f * log(urr % prob(i_energy + 1, URR_FISSION, &
+               i_up)))
+        end if
 
-    ! Check for negative values
-    if (elastic < ZERO) elastic = ZERO
-    if (fission < ZERO) fission = ZERO
-    if (capture < ZERO) capture = ZERO
+        ! Calculate capture cross section/factor
+        capture = ZERO
+        if (urr % prob(i_energy, URR_N_GAMMA, i_low) > ZERO .and. &
+             urr % prob(i_energy + 1, URR_N_GAMMA, i_up) > ZERO) then
+          capture = exp((ONE - f) * log(urr % prob(i_energy, URR_N_GAMMA, &
+               i_low)) + f * log(urr % prob(i_energy + 1, URR_N_GAMMA, &
+               i_up)))
+        end if
+      end if
 
-    ! Set elastic, absorption, fission, and total cross sections. Note that the
-    ! total cross section is calculated as sum of partials rather than using the
-    ! table-provided value
-    micro_xs(i_nuclide) % elastic = elastic
-    micro_xs(i_nuclide) % absorption = capture + fission
-    micro_xs(i_nuclide) % fission = fission
-    micro_xs(i_nuclide) % total = elastic + inelastic + capture + fission
+      ! Determine treatment of inelastic scattering
+      inelastic = ZERO
+      if (urr % inelastic_flag > 0) then
+        ! Get index on energy grid and interpolation factor
+        i_energy = micro_xs(i_nuclide) % index_grid
+        f = micro_xs(i_nuclide) % interp_factor
 
-    ! Determine nu-fission cross section
-    if (nuc % fissionable) then
-      micro_xs(i_nuclide) % nu_fission = nu_total(nuc, E) * &
-           micro_xs(i_nuclide) % fission
-    end if
+        ! Determine inelastic scattering cross section
+        associate (rxn => nuc % reactions(nuc % urr_inelastic))
+          if (i_energy >= rxn % threshold) then
+            inelastic = (ONE - f) * rxn % sigma(i_energy - rxn%threshold + 1) + &
+                 f * rxn % sigma(i_energy - rxn%threshold + 2)
+          end if
+        end associate
+      end if
+
+      ! Multiply by smooth cross-section if needed
+      if (urr % multiply_smooth) then
+        elastic = elastic * micro_xs(i_nuclide) % elastic
+        capture = capture * (micro_xs(i_nuclide) % absorption - &
+             micro_xs(i_nuclide) % fission)
+        fission = fission * micro_xs(i_nuclide) % fission
+      end if
+
+      ! Check for negative values
+      if (elastic < ZERO) elastic = ZERO
+      if (fission < ZERO) fission = ZERO
+      if (capture < ZERO) capture = ZERO
+
+      ! Set elastic, absorption, fission, and total cross sections. Note that the
+      ! total cross section is calculated as sum of partials rather than using the
+      ! table-provided value
+      micro_xs(i_nuclide) % elastic = elastic
+      micro_xs(i_nuclide) % absorption = capture + fission
+      micro_xs(i_nuclide) % fission = fission
+      micro_xs(i_nuclide) % total = elastic + inelastic + capture + fission
+
+      ! Determine nu-fission cross section
+      if (nuc % fissionable) then
+        micro_xs(i_nuclide) % nu_fission = nuc % nu(E, EMISSION_TOTAL) * &
+             micro_xs(i_nuclide) % fission
+      end if
+    end associate
 
   end subroutine calculate_urr_xs
 
@@ -525,6 +557,171 @@ contains
 
   end function find_energy_index
 
+!===============================================================================
+! MULTIPOLE_EVAL evaluates the windowed multipole equations for cross
+! sections in the resolved resonance regions
+!===============================================================================
+
+  subroutine multipole_eval(multipole, Emev, sqrtkT_, sigT, sigA, sigF)
+    type(MultipoleArray), intent(in) :: multipole ! The windowed multipole
+                                                  !  object to process.
+    real(8), intent(in)              :: Emev      ! The energy at which to
+                                                  !  evaluate the cross section
+                                                  !  in MeV
+    real(8), intent(in)              :: sqrtkT_   ! The temperature in the form
+                                                  !  sqrt(kT (in MeV)), at which
+                                                  !  to evaluate the XS.
+    real(8), intent(out)             :: sigT      ! Total cross section
+    real(8), intent(out)             :: sigA      ! Absorption cross section
+    real(8), intent(out)             :: sigF      ! Fission cross section
+    complex(8) :: psi_chi  ! The value of the psi-chi function for the
+                           !  asymptotic form
+    complex(8) :: c_temp   ! complex temporary variable
+    complex(8) :: w_val    ! The faddeeva function evaluated at Z
+    complex(8) :: Z        ! sqrt(atomic weight ratio / kT) * (sqrt(E) - pole)
+    complex(8) :: sigT_factor(multipole % num_l)
+    real(8) :: broadened_polynomials(multipole % fit_order + 1)
+    real(8) :: sqrtE       ! sqrt(E), eV
+    real(8) :: invE        ! 1/E, eV
+    real(8) :: dopp        ! sqrt(atomic weight ratio / kT) = 1 / (2 sqrt(xi))
+    real(8) :: temp        ! real temporary value
+    real(8) :: E           ! energy, eV
+    real(8) :: sqrtkT      ! sqrt(kT (in eV))
+    integer :: i_pole      ! index of pole
+    integer :: i_poly      ! index of curvefit
+    integer :: i_window    ! index of window
+    integer :: startw      ! window start pointer (for poles)
+    integer :: endw        ! window end pointer
+
+    ! ==========================================================================
+    ! Bookkeeping
+
+    ! Convert to eV.
+    E = Emev * 1.0e6_8
+    sqrtkT = sqrtkT_ * 1.0e3_8
+
+    ! Define some frequently used variables.
+    sqrtE = sqrt(E)
+    invE = ONE / E
+    dopp = multipole % sqrtAWR / sqrtkT
+
+    ! Locate us.
+    i_window = floor((sqrtE - sqrt(multipole % start_E)) / multipole % spacing &
+         + ONE)
+    startw = multipole % w_start(i_window)
+    endw = multipole % w_end(i_window)
+
+    ! Fill in factors.
+    if (startw <= endw) then
+      call compute_sigT_factor(multipole, sqrtE, sigT_factor)
+    end if
+
+    ! Initialize the ouptut cross sections.
+    sigT = ZERO
+    sigA = ZERO
+    sigF = ZERO
+
+    ! ==========================================================================
+    ! Add the contribution from the curvefit polynomial.
+
+    if (sqrtkT /= ZERO .and. multipole % broaden_poly(i_window) == 1) then
+      ! Broaden the curvefit.
+      call broaden_wmp_polynomials(E, dopp, multipole % fit_order + 1, &
+           broadened_polynomials)
+      do i_poly = 1, multipole % fit_order+1
+        sigT = sigT + multipole % curvefit(FIT_T, i_poly, i_window) &
+             * broadened_polynomials(i_poly)
+        sigA = sigA + multipole % curvefit(FIT_A, i_poly, i_window) &
+             * broadened_polynomials(i_poly)
+        sigF = sigF + multipole % curvefit(FIT_F, i_poly, i_window) &
+             * broadened_polynomials(i_poly)
+      end do
+    else ! Evaluate as if it were a polynomial
+      temp = invE
+      do i_poly = 1, multipole % fit_order+1
+        sigT = sigT + multipole % curvefit(FIT_T, i_poly, i_window) * temp
+        sigA = sigA + multipole % curvefit(FIT_A, i_poly, i_window) * temp
+        sigF = sigF + multipole % curvefit(FIT_F, i_poly, i_window) * temp
+        temp = temp * sqrtE
+      end do
+    end if
+
+    ! ==========================================================================
+    ! Add the contribution from the poles in this window.
+
+    if (sqrtkT == ZERO) then
+      ! If at 0K, use asymptotic form.
+      do i_pole = startw, endw
+        psi_chi = -ONEI / (multipole % data(MP_EA, i_pole) - sqrtE)
+        c_temp = psi_chi / E
+        if (multipole % formalism == FORM_MLBW) then
+          sigT = sigT + real(multipole % data(MLBW_RT, i_pole) * c_temp * &
+                             sigT_factor(multipole % l_value(i_pole))) &
+                      + real(multipole % data(MLBW_RX, i_pole) * c_temp)
+          sigA = sigA + real(multipole % data(MLBW_RA, i_pole) * c_temp)
+          sigF = sigF + real(multipole % data(MLBW_RF, i_pole) * c_temp)
+        else if (multipole % formalism == FORM_RM) then
+          sigT = sigT + real(multipole % data(RM_RT, i_pole) * c_temp * &
+                             sigT_factor(multipole % l_value(i_pole)))
+          sigA = sigA + real(multipole % data(RM_RA, i_pole) * c_temp)
+          sigF = sigF + real(multipole % data(RM_RF, i_pole) * c_temp)
+        end if
+      end do
+    else
+      ! At temperature, use Faddeeva function-based form.
+      if (endw >= startw) then
+        do i_pole = startw, endw
+          Z = (sqrtE - multipole % data(MP_EA, i_pole)) * dopp
+          w_val = faddeeva(Z) * dopp * invE * SQRT_PI
+          if (multipole % formalism == FORM_MLBW) then
+            sigT = sigT + real((multipole % data(MLBW_RT, i_pole) * &
+                          sigT_factor(multipole % l_value(i_pole)) + &
+                          multipole % data(MLBW_RX, i_pole)) * w_val)
+            sigA = sigA + real(multipole % data(MLBW_RA, i_pole) * w_val)
+            sigF = sigF + real(multipole % data(MLBW_RF, i_pole) * w_val)
+          else if (multipole % formalism == FORM_RM) then
+            sigT = sigT + real(multipole % data(RM_RT, i_pole) * w_val * &
+                               sigT_factor(multipole % l_value(i_pole)))
+            sigA = sigA + real(multipole % data(RM_RA, i_pole) * w_val)
+            sigF = sigF + real(multipole % data(RM_RF, i_pole) * w_val)
+          end if
+        end do
+      end if
+    end if
+  end subroutine multipole_eval
+
+!===============================================================================
+! COMPUTE_SIGT_FACTOR calculates the sigT_factor, a factor inside of the sigT
+! equation not present in the sigA and sigF equations.
+!===============================================================================
+
+  subroutine compute_sigT_factor(multipole, sqrtE, sigT_factor)
+    type(MultipoleArray), intent(in)  :: multipole
+    real(8),              intent(in)  :: sqrtE
+    complex(8),           intent(out) :: sigT_factor(multipole % num_l)
+
+    integer :: iL
+    real(8) :: twophi(multipole % num_l)
+    real(8) :: arg
+
+    do iL = 1, multipole % num_l
+      twophi(iL) = multipole % pseudo_k0RS(iL) * sqrtE
+      if (iL == 2) then
+        twophi(iL) = twophi(iL) - atan(twophi(iL))
+      else if (iL == 3) then
+        arg = 3.0_8 * twophi(iL) / (3.0_8 - twophi(iL)**2)
+        twophi(iL) = twophi(iL) - atan(arg)
+      else if (iL == 4) then
+        arg = twophi(iL) * (15.0_8 - twophi(iL)**2) &
+             / (15.0_8 - 6.0_8 * twophi(iL)**2)
+        twophi(iL) = twophi(iL) - atan(arg)
+      end if
+    end do
+
+    twophi = 2.0_8 * twophi
+    sigT_factor = cmplx(cos(twophi), -sin(twophi), KIND=8)
+  end subroutine compute_sigT_factor
+
 !===============================================================================
 ! 0K_ELASTIC_XS determines the microscopic 0K elastic cross section
 ! for a given nuclide at the trial relative energy used in resonance scattering
diff --git a/src/distribution_multivariate.F90 b/src/distribution_multivariate.F90
new file mode 100644
index 0000000000..68b246df84
--- /dev/null
+++ b/src/distribution_multivariate.F90
@@ -0,0 +1,162 @@
+module distribution_multivariate
+
+  use constants,               only: ONE, TWO, PI
+  use distribution_univariate, only: Distribution
+  use random_lcg,              only: prn
+  use math,                    only: rotate_angle
+
+  implicit none
+
+!===============================================================================
+! UNITSPHEREDISTRIBUTION type defines a probability density function for points
+! on the unit sphere. Extensions of this type are used to sample angular
+! distributions for starting sources
+!===============================================================================
+
+  type, abstract :: UnitSphereDistribution
+    real(8) :: reference_uvw(3)
+  contains
+    procedure(unitsphere_distribution_sample_), deferred :: sample
+  end type UnitSphereDistribution
+
+  abstract interface
+    function unitsphere_distribution_sample_(this) result(uvw)
+      import UnitSphereDistribution
+      class(UnitSphereDistribution), intent(in) :: this
+      real(8) :: uvw(3)
+    end function unitsphere_distribution_sample_
+  end interface
+
+!===============================================================================
+! Derived classes of UnitSphereDistribution
+!===============================================================================
+
+  ! Explicit distribution of polar and azimuthal angles
+  type, extends(UnitSphereDistribution) :: PolarAzimuthal
+    class(Distribution), allocatable :: mu
+    class(Distribution), allocatable :: phi
+  contains
+    procedure :: sample => polar_azimuthal_sample
+  end type PolarAzimuthal
+
+  ! Uniform distribution on the unit sphere
+  type, extends(UnitSphereDistribution) :: Isotropic
+  contains
+    procedure :: sample => isotropic_sample
+  end type Isotropic
+
+  ! Monodirectional distribution
+  type, extends(UnitSphereDistribution) :: Monodirectional
+  contains
+    procedure :: sample => monodirectional_sample
+  end type Monodirectional
+
+!===============================================================================
+! SPATIALDISTRIBUTION type defines a probability density function for arbitrary
+! points in Euclidean space.
+!===============================================================================
+
+  type, abstract :: SpatialDistribution
+  contains
+    procedure(spatial_distribution_sample_), deferred :: sample
+  end type SpatialDistribution
+
+  abstract interface
+    function spatial_distribution_sample_(this) result(xyz)
+      import SpatialDistribution
+      class(SpatialDistribution), intent(in) :: this
+      real(8) :: xyz(3)
+    end function spatial_distribution_sample_
+  end interface
+
+  type, extends(SpatialDistribution) :: CartesianIndependent
+    class(Distribution), allocatable :: x
+    class(Distribution), allocatable :: y
+    class(Distribution), allocatable :: z
+  contains
+    procedure :: sample => cartesian_independent_sample
+  end type CartesianIndependent
+
+  type, extends(SpatialDistribution) :: SpatialBox
+    real(8) :: lower_left(3)
+    real(8) :: upper_right(3)
+    logical :: only_fissionable = .false.
+  contains
+    procedure :: sample => spatial_box_sample
+  end type SpatialBox
+
+  type, extends(SpatialDistribution) :: SpatialPoint
+    real(8) :: xyz(3)
+  contains
+    procedure :: sample => spatial_point_sample
+  end type SpatialPoint
+
+contains
+
+  function polar_azimuthal_sample(this) result(uvw)
+    class(PolarAzimuthal), intent(in) :: this
+    real(8) :: uvw(3)
+
+    real(8) :: mu     ! cosine of polar angle
+    real(8) :: phi    ! azimuthal angle
+
+    ! Sample cosine of polar angle
+    mu = this % mu % sample()
+    if (mu == ONE) then
+      uvw(:) = this % reference_uvw
+    else
+      ! Sample azimuthal angle
+      phi = this % phi % sample()
+      uvw(:) = rotate_angle(this % reference_uvw, mu, phi)
+    end if
+  end function polar_azimuthal_sample
+
+  function isotropic_sample(this) result(uvw)
+    class(Isotropic), intent(in) :: this
+    real(8) :: uvw(3)
+
+    real(8) :: phi
+    real(8) :: mu
+
+    phi = TWO*PI*prn()
+    mu = TWO*prn() - ONE
+    uvw(1) = mu
+    uvw(2) = sqrt(ONE - mu*mu) * cos(phi)
+    uvw(3) = sqrt(ONE - mu*mu) * sin(phi)
+  end function isotropic_sample
+
+  function monodirectional_sample(this) result(uvw)
+    class(Monodirectional), intent(in) :: this
+    real(8) :: uvw(3)
+
+    uvw(:) = this % reference_uvw
+  end function monodirectional_sample
+
+  function cartesian_independent_sample(this) result(xyz)
+    class(CartesianIndependent), intent(in) :: this
+    real(8) :: xyz(3)
+
+    xyz(1) = this % x % sample()
+    xyz(2) = this % y % sample()
+    xyz(3) = this % z % sample()
+  end function cartesian_independent_sample
+
+  function spatial_box_sample(this) result(xyz)
+    class(SpatialBox), intent(in) :: this
+    real(8) :: xyz(3)
+
+    integer :: i
+    real(8) :: r(3)
+
+    r = [ (prn(), i = 1,3) ]
+    xyz(:) = this % lower_left + r*(this % upper_right - this % lower_left)
+  end function spatial_box_sample
+
+  function spatial_point_sample(this) result(xyz)
+    class(SpatialPoint), intent(in) :: this
+    real(8) :: xyz(3)
+
+    xyz(:) = this % xyz
+  end function spatial_point_sample
+
+end module distribution_multivariate
diff --git a/src/distribution_univariate.F90 b/src/distribution_univariate.F90
new file mode 100644
index 0000000000..6c053e5942
--- /dev/null
+++ b/src/distribution_univariate.F90
@@ -0,0 +1,372 @@
+module distribution_univariate
+
+  use constants,  only: ZERO, ONE, HALF, HISTOGRAM, LINEAR_LINEAR, &
+       MAX_LINE_LEN, MAX_WORD_LEN
+  use error,      only: fatal_error
+  use random_lcg, only: prn
+  use math,       only: maxwell_spectrum, watt_spectrum
+  use string,     only: to_lower
+  use xml_interface
+
+  implicit none
+
+!===============================================================================
+! DISTRIBUTION type defines a probability density function
+!===============================================================================
+
+  type, abstract :: Distribution
+  contains
+    procedure(distribution_sample_), deferred :: sample
+  end type Distribution
+
+  type DistributionContainer
+    class(Distribution), allocatable :: obj
+  end type DistributionContainer
+
+  abstract interface
+    function distribution_sample_(this) result(x)
+      import Distribution
+      class(Distribution), intent(in) :: this
+      real(8) :: x
+    end function distribution_sample_
+  end interface
+
+!===============================================================================
+! Derived classes of Distribution
+!===============================================================================
+
+  ! Discrete distribution
+  type, extends(Distribution) :: Discrete
+    real(8), allocatable :: x(:)
+    real(8), allocatable :: p(:)
+  contains
+    procedure :: sample => discrete_sample
+    procedure :: initialize => discrete_initialize
+  end type Discrete
+
+  ! Uniform distribution over the interval [a,b]
+  type, extends(Distribution) :: Uniform
+    real(8) :: a
+    real(8) :: b
+  contains
+    procedure :: sample => uniform_sample
+  end type Uniform
+
+  ! Maxwellian distribution of form c*E*exp(-E/a)
+  type, extends(Distribution) :: Maxwell
+    real(8) :: theta
+  contains
+    procedure :: sample => maxwell_sample
+  end type Maxwell
+
+  ! Watt fission spectrum with form c*exp(-E/a)*sinh(sqrt(b*E))
+  type, extends(Distribution) :: Watt
+    real(8) :: a
+    real(8) :: b
+  contains
+    procedure :: sample => watt_sample
+  end type Watt
+
+  ! Histogram or linear-linear interpolated tabular distribution
+  type, extends(Distribution) :: Tabular
+    integer :: interpolation
+    real(8), allocatable :: x(:) ! tabulated independent variable
+    real(8), allocatable :: p(:) ! tabulated probability density
+    real(8), allocatable :: c(:) ! cumulative distribution at tabulated values
+  contains
+    procedure :: sample => tabular_sample
+    procedure :: initialize => tabular_initialize
+  end type Tabular
+
+  type, extends(Distribution) :: Equiprobable
+    real(8), allocatable :: x(:)
+  contains
+    procedure :: sample => equiprobable_sample
+  end type Equiprobable
+
+contains
+
+  function discrete_sample(this) result(x)
+    class(Discrete), intent(in) :: this
+    real(8) :: x
+
+    integer :: i  ! loop counter
+    integer :: n  ! size of distribution
+    real(8) :: c  ! cumulative frequency
+    real(8) :: xi ! sampled CDF value
+
+    n = size(this%x)
+    if (n > 1) then
+      xi = prn()
+      c = ZERO
+      do i = 1, size(this%x)
+        c = c + this%p(i)
+        if (xi < c) exit
+      end do
+      x = this%x(i)
+    else
+      x = this%x(1)
+    end if
+  end function discrete_sample
+
+  subroutine discrete_initialize(this, x, p)
+    class(Discrete), intent(inout) :: this
+    real(8), intent(in) :: x(:)
+    real(8), intent(in) :: p(:)
+
+    integer :: n
+
+    ! Check length of x, p arrays
+    if (size(x) /= size(p)) then
+      call fatal_error('Tabulated probabilities not of same length as &
+           &independent variable.')
+    end if
+
+    ! Copy probability density function
+    n = size(x)
+    allocate(this%x(n), this%p(n))
+    this%x(:) = x(:)
+    this%p(:) = p(:)
+
+    ! Normalize density function
+    this%p(:) = this%p(:)/sum(this%p)
+  end subroutine
+
+  function uniform_sample(this) result(x)
+    class(Uniform), intent(in) :: this
+    real(8) :: x
+
+    x = this%a + prn()*(this%b - this%a)
+  end function uniform_sample
+
+  function maxwell_sample(this) result(x)
+    class(Maxwell), intent(in) :: this
+    real(8) :: x
+
+    x = maxwell_spectrum(this%theta)
+  end function maxwell_sample
+
+  function watt_sample(this) result(x)
+    class(Watt), intent(in) :: this
+    real(8) :: x
+
+    x = watt_spectrum(this%a, this%b)
+  end function watt_sample
+
+  function tabular_sample(this) result(x)
+    class(Tabular), intent(in) :: this
+    real(8) :: x
+
+    integer :: i
+    real(8) :: c         ! sampled cumulative frequency
+    real(8) :: m         ! slope of PDF
+    real(8) :: x_i, x_i1 ! i-th and (i+1)th x values
+    real(8) :: c_i, c_i1 ! i-th and (i+1)th cumulative distribution values
+    real(8) :: p_i, p_i1 ! i-th and (i+1)th probability density values
+
+    ! Sample value of CDF
+    c = prn()
+
+    ! Find first CDF bin which is above the sampled value
+    c_i = this%c(1)
+    do i = 1, size(this%c) - 1
+      c_i1 = this%c(i + 1)
+      if (c <= c_i1) exit
+      c_i = c_i1
+    end do
+
+    ! Determine bounding PDF values
+    x_i = this%x(i)
+    p_i = this%p(i)
+
+    if (this%interpolation == HISTOGRAM) then
+      ! Histogram interpolation
+      if (p_i > ZERO) then
+        x = x_i + (c - c_i)/p_i
+      else
+        x = x_i
+      end if
+    else
+      ! Linear-linear interpolation
+      x_i1 = this%x(i + 1)
+      p_i1 = this%p(i + 1)
+
+      m = (p_i1 - p_i)/(x_i1 - x_i)
+      if (m == ZERO) then
+        x = x_i + (c - c_i)/p_i
+      else
+        x = x_i + (sqrt(max(ZERO, p_i*p_i + 2*m*(c - c_i))) - p_i)/m
+      end if
+    end if
+  end function tabular_sample
+
+  subroutine tabular_initialize(this, x, p, interp)
+    class(Tabular), intent(inout) :: this
+    real(8), intent(in) :: x(:)
+    real(8), intent(in) :: p(:)
+    integer, intent(in) :: interp
+
+    integer :: i
+    integer :: n
+
+    ! Check interpolation parameter
+    if (interp /= HISTOGRAM .and. interp /= LINEAR_LINEAR) then
+      call fatal_error('Only histogram and linear-linear interpolation for tabular &
+           &distribution is supported.')
+    end if
+
+    ! Check length of x, p arrays
+    if (size(x) /= size(p)) then
+      call fatal_error('Tabulated probabilities not of same length as &
+           &independent variable.')
+    end if
+
+    ! Copy probability density function and interpolation parameter
+    n = size(x)
+    allocate(this%x(n), this%p(n), this%c(n))
+    this%interpolation = interp
+    this%x(:) = x(:)
+    this%p(:) = p(:)
+
+    ! Calculate cumulative distribution function
+    this%c(1) = ZERO
+    do i = 2, n
+      if (this%interpolation == HISTOGRAM) then
+        this%c(i) = this%c(i-1) + this%p(i-1)*(this%x(i) - this%x(i-1))
+      elseif (this%interpolation == LINEAR_LINEAR) then
+        this%c(i) = this%c(i-1) + HALF*(this%p(i-1) + this%p(i)) * &
+             (this%x(i) - this%x(i-1))
+      end if
+    end do
+
+    ! Normalize density and distribution functions
+    this%p(:) = this%p(:)/this%c(n)
+    this%c(:) = this%c(:)/this%c(n)
+  end subroutine tabular_initialize
+
+  function equiprobable_sample(this) result(x)
+    class(Equiprobable), intent(in) :: this
+    real(8) :: x
+
+    integer :: i
+    integer :: n
+    real(8) :: r
+    real(8) :: xl, xr
+
+    n = size(this%x)
+
+    r = prn()
+    i = 1 + int((n - 1)*r)
+
+    xl = this%x(i)
+    xr = this%x(i+1)
+    x = xl + ((n - 1)*r - i + ONE) * (xr - xl)
+  end function equiprobable_sample
+
+  subroutine distribution_from_xml(dist, node_dist)
+    class(Distribution), allocatable, intent(inout) :: dist
+    type(Node), pointer :: node_dist
+
+    character(MAX_WORD_LEN) :: type
+    character(MAX_LINE_LEN) :: temp_str
+    integer :: n
+    integer :: temp_int
+    real(8), allocatable :: temp_real(:)
+
+    if (check_for_node(node_dist, "type")) then
+      ! Determine type of distribution
+      call get_node_value(node_dist, "type", type)
+
+      ! Determine number of parameters specified
+      if (check_for_node(node_dist, "parameters")) then
+        n = get_arraysize_double(node_dist, "parameters")
+      else
+        n = 0
+      end if
+
+      ! Allocate extension of Distribution
+      select case (to_lower(type))
+      case ('uniform')
+        allocate(Uniform :: dist)
+        if (n /= 2) then
+          call fatal_error('Uniform distribution must have two &
+               &parameters specified.')
+        end if
+
+      case ('maxwell')
+        allocate(Maxwell :: dist)
+        if (n /= 1) then
+          call fatal_error('Maxwell energy distribution must have one &
+               &parameter specified.')
+        end if
+
+      case ('watt')
+        allocate(Watt :: dist)
+        if (n /= 2) then
+          call fatal_error('Watt energy distribution must have two &
+               &parameters specified.')
+        end if
+
+      case ('discrete')
+        allocate(Discrete :: dist)
+
+      case ('tabular')
+        allocate(Tabular :: dist)
+
+      case default
+        call fatal_error('Invalid distribution type: ' // trim(type) // '.')
+
+      end select
+
+      ! Read parameters and interpolation for distribution
+      select type (dist)
+      type is (Uniform)
+        allocate(temp_real(2))
+        call get_node_array(node_dist, "parameters", temp_real)
+        dist%a = temp_real(1)
+        dist%b = temp_real(2)
+        deallocate(temp_real)
+
+      type is (Maxwell)
+        call get_node_value(node_dist, "parameters", dist%theta)
+
+      type is (Watt)
+        allocate(temp_real(2))
+        call get_node_array(node_dist, "parameters", temp_real)
+        dist%a = temp_real(1)
+        dist%b = temp_real(2)
+        deallocate(temp_real)
+
+      type is (Discrete)
+        allocate(temp_real(n))
+        call get_node_array(node_dist, "parameters", temp_real)
+        call dist%initialize(temp_real(1:n/2), temp_real(n/2+1:n))
+        deallocate(temp_real)
+
+      type is (Tabular)
+        ! Read interpolation
+        if (check_for_node(node_dist, "interpolation")) then
+          call get_node_value(node_dist, "interpolation", temp_str)
+          select case(to_lower(temp_str))
+          case ('histogram')
+            temp_int = HISTOGRAM
+          case ('linear-linear')
+            temp_int = LINEAR_LINEAR
+          case default
+            call fatal_error("Unknown interpolation type for distribution: " &
+                 // trim(temp_str))
+          end select
+        else
+          temp_int = HISTOGRAM
+        end if
+
+        ! Read and initialize tabular distribution
+        allocate(temp_real(n))
+        call get_node_array(node_dist, "parameters", temp_real)
+        call dist%initialize(temp_real(1:n/2), temp_real(n/2+1:n), temp_int)
+        deallocate(temp_real)
+      end select
+    end if
+  end subroutine distribution_from_xml
+
+end module distribution_univariate
diff --git a/src/eigenvalue.F90 b/src/eigenvalue.F90
index 403347caa1..9befbe3c3d 100644
--- a/src/eigenvalue.F90
+++ b/src/eigenvalue.F90
@@ -4,16 +4,15 @@ module eigenvalue
   use message_passing
 #endif
 
-  use constants,    only: ZERO
-  use error,        only: fatal_error, warning
+  use constants,   only: ZERO
+  use error,       only: fatal_error, warning
   use global
-  use math,         only: t_percentile
-  use mesh,         only: count_bank_sites
-  use mesh_header,  only: RegularMesh
-  use particle_header, only: Particle
-  use random_lcg,   only: prn, set_particle_seed, prn_skip
-  use search,       only: binary_search
-  use string,       only: to_str
+  use math,        only: t_percentile
+  use mesh,        only: count_bank_sites
+  use mesh_header, only: RegularMesh
+  use random_lcg,  only: prn, set_particle_seed, advance_prn_seed
+  use search,      only: binary_search
+  use string,      only: to_str
 
   implicit none
 
@@ -100,7 +99,7 @@ contains
 
     call set_particle_seed(int((current_batch - 1)*gen_per_batch + &
          current_gen,8))
-    call prn_skip(start)
+    call advance_prn_seed(start)
 
     ! Determine how many fission sites we need to sample from the source bank
     ! and the probability for selecting a site.
diff --git a/src/endf.F90 b/src/endf.F90
index ba324722c3..ad5e97a033 100644
--- a/src/endf.F90
+++ b/src/endf.F90
@@ -17,6 +17,49 @@ contains
     character(20)       :: string
 
     select case (MT)
+    ! Special reactions for tallies
+    case (SCORE_FLUX)
+      string = "flux"
+    case (SCORE_TOTAL)
+      string = "total"
+    case (SCORE_SCATTER)
+      string = "scatter"
+    case (SCORE_NU_SCATTER)
+      string = "nu-scatter"
+    case (SCORE_SCATTER_N)
+      string = "scatter-n"
+    case (SCORE_SCATTER_PN)
+      string = "scatter-pn"
+    case (SCORE_NU_SCATTER_N)
+      string = "nu-scatter-n"
+    case (SCORE_NU_SCATTER_PN)
+      string = "nu-scatter-pn"
+    case (SCORE_ABSORPTION)
+      string = "absorption"
+    case (SCORE_FISSION)
+      string = "fission"
+    case (SCORE_NU_FISSION)
+      string = "nu-fission"
+    case (SCORE_DELAYED_NU_FISSION)
+      string = "delayed-nu-fission"
+    case (SCORE_KAPPA_FISSION)
+      string = "kappa-fission"
+    case (SCORE_CURRENT)
+      string = "current"
+    case (SCORE_FLUX_YN)
+      string = "flux-yn"
+    case (SCORE_TOTAL_YN)
+      string = "total-yn"
+    case (SCORE_SCATTER_YN)
+      string = "scatter-yn"
+    case (SCORE_NU_SCATTER_YN)
+      string = "nu-scatter-yn"
+    case (SCORE_EVENTS)
+      string = "events"
+    case (SCORE_INVERSE_VELOCITY)
+      string = "inverse-velocity"
+
+    ! Normal ENDF-based reactions
     case (TOTAL_XS)
       string = '(n,total)'
     case (ELASTIC)
diff --git a/src/endf_header.F90 b/src/endf_header.F90
index af62231a5d..e9a073f4e6 100644
--- a/src/endf_header.F90
+++ b/src/endf_header.F90
@@ -1,18 +1,226 @@
 module endf_header
 
-  implicit none
+  use constants, only: ZERO, HISTOGRAM, LINEAR_LINEAR, LINEAR_LOG, &
+       LOG_LINEAR, LOG_LOG
+  use search, only: binary_search
+
+implicit none
+
+  type, abstract :: Function1D
+  contains
+    procedure(function1d_evaluate_), deferred :: evaluate
+  end type Function1D
+
+  abstract interface
+    pure function function1d_evaluate_(this, x) result(y)
+      import Function1D
+      class(Function1D), intent(in) :: this
+      real(8),           intent(in) :: x
+      real(8)                       :: y
+    end function function1d_evaluate_
+  end interface
 
 !===============================================================================
-! TAB1 represents a one-dimensional interpolable function
+! CONSTANT1D represents a constant one-dimensional function
 !===============================================================================
 
-  type Tab1
+  type, extends(Function1D) :: Constant1D
+    real(8) :: y
+  contains
+    procedure :: evaluate => constant1d_evaluate
+  end type Constant1D
+
+!===============================================================================
+! POLYNOMIAL represents a one-dimensional function expressed as a polynomial
+!===============================================================================
+
+  type, extends(Function1D) :: Polynomial
+    real(8), allocatable :: coef(:)  ! coefficients
+  contains
+    procedure :: evaluate => polynomial_evaluate
+    procedure :: from_ace => polynomial_from_ace
+  end type Polynomial
+
+!===============================================================================
+! TABULATED1D represents a one-dimensional interpolable function
+!===============================================================================
+
+  type, extends(Function1D) :: Tabulated1D
     integer :: n_regions = 0       ! # of interpolation regions
     integer, allocatable :: nbt(:) ! values separating interpolation regions
     integer, allocatable :: int(:) ! interpolation scheme
     integer :: n_pairs             ! # of pairs of (x,y) values
     real(8), allocatable :: x(:)   ! values of abscissa
     real(8), allocatable :: y(:)   ! values of ordinate
-  end type Tab1
+  contains
+    procedure :: from_ace => tabulated1d_from_ace
+    procedure :: evaluate => tabulated1d_evaluate
+  end type Tabulated1D
+
+contains
+
+!===============================================================================
+! Constant1D implementation
+!===============================================================================
+
+  pure function constant1d_evaluate(this, x) result(y)
+    class(Constant1D), intent(in) :: this
+    real(8),           intent(in) :: x
+    real(8)                       :: y
+
+    y = this % y
+  end function constant1d_evaluate
+
+!===============================================================================
+! Polynomial implementation
+!===============================================================================
+
+  subroutine polynomial_from_ace(this, xss, idx)
+    class(Polynomial), intent(inout) :: this
+    real(8),           intent(in)    :: xss(:)
+    integer,           intent(in)    :: idx
+
+    integer :: nc  ! number of coefficients (order - 1)
+
+    ! Clear space
+    if (allocated(this % coef)) deallocate(this % coef)
+
+    ! Determine number of coefficients
+    nc = nint(xss(idx))
+
+    ! Allocate space for and read coefficients
+    allocate(this % coef(nc))
+    this % coef(:) = xss(idx + 1 : idx + nc)
+  end subroutine polynomial_from_ace
+
+  pure function polynomial_evaluate(this, x) result(y)
+    class(Polynomial), intent(in) :: this
+    real(8),           intent(in) :: x
+    real(8)                       :: y
+
+    integer :: i
+
+    ! Use Horner's rule to evaluate polynomial. Note that coefficients are
+    ! ordered in increasing powers of x.
+    y = ZERO
+    do i = size(this % coef), 1, -1
+      y = y*x + this % coef(i)
+    end do
+  end function polynomial_evaluate
+
+!===============================================================================
+! Tabulated1D implementation
+!===============================================================================
+
+  subroutine tabulated1d_from_ace(this, xss, idx)
+    class(Tabulated1D), intent(inout) :: this
+    real(8), intent(in) :: xss(:)
+    integer, intent(in) :: idx
+
+    integer :: nr, ne
+
+    ! Clear space
+    if (allocated(this % nbt)) deallocate(this % nbt)
+    if (allocated(this % int)) deallocate(this % int)
+    if (allocated(this % x)) deallocate(this % x)
+    if (allocated(this % y)) deallocate(this % y)
+
+    ! Determine number of regions
+    nr = nint(xss(idx))
+    this%n_regions = nr
+
+    ! Read interpolation region data
+    if (nr > 0) then
+      allocate(this%nbt(nr))
+      allocate(this%int(nr))
+      this%nbt(:) = nint(xss(idx + 1 : idx + nr))
+      this%int(:) = nint(xss(idx + nr + 1 : idx + 2*nr))
+    end if
+
+    ! Determine number of pairs
+    ne = int(XSS(idx + 2*nr + 1))
+    this%n_pairs = ne
+
+    ! Read (x,y) pairs
+    allocate(this%x(ne))
+    allocate(this%y(ne))
+    this%x(:) = xss(idx + 2*nr + 2 : idx + 2*nr + 1 + ne)
+    this%y(:) = xss(idx + 2*nr + 2 + ne : idx + 2*nr + 1 + 2*ne)
+  end subroutine tabulated1d_from_ace
+
+  pure function tabulated1d_evaluate(this, x) result(y)
+    class(Tabulated1D), intent(in) :: this
+    real(8),     intent(in) :: x    ! x value to find y at
+    real(8)                 :: y    ! y(x)
+
+    integer :: i               ! bin in which to interpolate
+    integer :: j               ! index for interpolation region
+    integer :: n_regions       ! number of interpolation regions
+    integer :: n_pairs         ! number of tabulated values
+    integer :: interp          ! ENDF interpolation scheme
+    real(8) :: r               ! interpolation factor
+    real(8) :: x0, x1          ! bounding x values
+    real(8) :: y0, y1          ! bounding y values
+
+    ! determine number of interpolation regions and pairs
+    n_regions = this % n_regions
+    n_pairs   = this % n_pairs
+
+    ! find which bin the abscissa is in -- if the abscissa is outside the
+    ! tabulated range, the first or last point is chosen, i.e. no interpolation
+    ! is done outside the energy range
+    if (x < this % x(1)) then
+      y = this % y(1)
+      return
+    elseif (x > this % x(n_pairs)) then
+      y = this % y(n_pairs)
+      return
+    else
+      i = binary_search(this % x, n_pairs, x)
+    end if
+
+    ! determine interpolation scheme
+    if (n_regions == 0) then
+      interp = LINEAR_LINEAR
+    elseif (n_regions == 1) then
+      interp = this % int(1)
+    elseif (n_regions > 1) then
+      do j = 1, n_regions
+        if (i < this % nbt(j)) then
+          interp = this % int(j)
+          exit
+        end if
+      end do
+    end if
+
+    ! handle special case of histogram interpolation
+    if (interp == HISTOGRAM) then
+      y = this % y(i)
+      return
+    end if
+
+    ! determine bounding values
+    x0 = this % x(i)
+    x1 = this % x(i + 1)
+    y0 = this % y(i)
+    y1 = this % y(i + 1)
+
+    ! determine interpolation factor and interpolated value
+    select case (interp)
+    case (LINEAR_LINEAR)
+      r = (x - x0)/(x1 - x0)
+      y = y0 + r*(y1 - y0)
+    case (LINEAR_LOG)
+      r = log(x/x0)/log(x1/x0)
+      y = y0 + r*(y1 - y0)
+    case (LOG_LINEAR)
+      r = (x - x0)/(x1 - x0)
+      y = y0*exp(r*log(y1/y0))
+    case (LOG_LOG)
+      r = log(x/x0)/log(x1/x0)
+      y = y0*exp(r*log(y1/y0))
+    end select
+
+  end function tabulated1d_evaluate
 
 end module endf_header
diff --git a/src/energy_distribution.F90 b/src/energy_distribution.F90
new file mode 100644
index 0000000000..3a42bb73db
--- /dev/null
+++ b/src/energy_distribution.F90
@@ -0,0 +1,376 @@
+module energy_distribution
+
+  use constants,     only: ZERO, ONE, TWO, PI, HISTOGRAM, LINEAR_LINEAR
+  use endf_header,   only: Tabulated1D
+  use math,          only: maxwell_spectrum, watt_spectrum
+  use random_lcg,    only: prn
+  use search,        only: binary_search
+
+!===============================================================================
+! ENERGYDISTRIBUTION (abstract) defines an energy distribution that is a
+! function of the incident energy of a projectile. Each derived type must
+! implement a sample() function that returns a sampled outgoing energy given an
+! incoming energy
+!===============================================================================
+
+  type, abstract :: EnergyDistribution
+  contains
+    procedure(energy_distribution_sample_), deferred :: sample
+  end type EnergyDistribution
+
+  abstract interface
+    function energy_distribution_sample_(this, E_in) result(E_out)
+      import EnergyDistribution
+      class(EnergyDistribution), intent(in) :: this
+      real(8), intent(in) :: E_in
+      real(8) :: E_out
+    end function energy_distribution_sample_
+  end interface
+
+  type :: EnergyDistributionContainer
+    class(EnergyDistribution), allocatable :: obj
+  end type EnergyDistributionContainer
+
+!===============================================================================
+!                             Derived classes
+!===============================================================================
+
+!===============================================================================
+! TABULAREQUIPROBABLE represents an energy distribution with tabular
+! equiprobable energy bins as given in ACE law 1. This is an older
+! representation that has largely been replaced with ACE laws 4, 44, and 61.
+!===============================================================================
+
+  type, extends(EnergyDistribution) :: TabularEquiprobable
+    integer :: n_region                      ! number of interpolation regions
+    integer, allocatable :: breakpoints(:)   ! breakpoints of interpolation regions
+    integer, allocatable :: interpolation(:) ! interpolation region codes
+    real(8), allocatable :: energy_in(:)     ! incoming energies
+    real(8), allocatable :: energy_out(:,:)  ! table of outgoing energies for
+                                             ! each incoming energy
+  contains
+    procedure :: sample => equiprobable_sample
+  end type TabularEquiprobable
+
+!===============================================================================
+! LEVELINELASTIC gives the energy distribution for level inelastic scattering by
+! neutrons as in ENDF MT=51--90.
+!===============================================================================
+
+  type, extends(EnergyDistribution) :: LevelInelastic
+    real(8) :: threshold
+    real(8) :: mass_ratio
+  contains
+    procedure :: sample => level_inelastic_sample
+  end type LevelInelastic
+
+!===============================================================================
+! CONTINUOUSTABULAR gives an energy distribution represented as a tabular
+! distribution with histogram or linear-linear interpolation. This corresponds
+! to ACE law 4, which NJOY produces for a number of ENDF energy distributions.
+!===============================================================================
+
+  type CTTable
+    integer :: interpolation
+    integer :: n_discrete
+    real(8), allocatable :: e_out(:)
+    real(8), allocatable :: p(:)
+    real(8), allocatable :: c(:)
+  end type CTTable
+
+  type, extends(EnergyDistribution) :: ContinuousTabular
+    integer :: n_region
+    integer, allocatable :: breakpoints(:)
+    integer, allocatable :: interpolation(:)
+    real(8), allocatable :: energy(:)
+    type(CTTable), allocatable :: distribution(:)
+  contains
+    procedure :: sample => continuous_sample
+  end type ContinuousTabular
+
+!===============================================================================
+! MAXWELLENERGY gives the energy distribution of neutrons emitted from a Maxwell
+! fission spectrum. This corresponds to ACE law 7 and ENDF File 5, LF=7.
+!===============================================================================
+
+  type, extends(EnergyDistribution) :: MaxwellEnergy
+    type(Tabulated1D) :: theta ! incoming-energy-dependent parameter
+    real(8) :: u        ! restriction energy
+  contains
+    procedure :: sample => maxwellenergy_sample
+  end type MaxwellEnergy
+
+!===============================================================================
+! EVAPORATION represents an evaporation spectrum corresponding to ACE law 9 and
+! ENDF File 5, LF=9.
+!===============================================================================
+
+  type, extends(EnergyDistribution) :: Evaporation
+    type(Tabulated1D) :: theta
+    real(8) :: u
+  contains
+    procedure :: sample => evaporation_sample
+  end type Evaporation
+
+!===============================================================================
+! WATTENERGY gives the energy distribution of neutrons emitted from a Watt
+! fission spectrum. This corresponds to ACE law 11 and ENDF File 5, LF=11.
+!===============================================================================
+
+  type, extends(EnergyDistribution) :: WattEnergy
+    type(Tabulated1D) :: a
+    type(Tabulated1D) :: b
+    real(8) :: u
+  contains
+    procedure :: sample => watt_sample
+  end type WattEnergy
+
+contains
+
+  function equiprobable_sample(this, E_in) result(E_out)
+    class(TabularEquiprobable), intent(in) :: this
+    real(8), intent(in) :: E_in  ! incoming energy
+    real(8)             :: E_out ! sampled outgoing energy
+
+    integer :: i, k, l        ! indices
+    integer :: n_energy_in    ! number of incoming energies
+    integer :: n_energy_out   ! number of outgoing energies
+    real(8) :: r              ! interpolation factor on incoming energy
+    real(8) :: E_i_1, E_i_K   ! endpoints on outgoing grid i
+    real(8) :: E_i1_1, E_i1_K ! endpoints on outgoing grid i+1
+    real(8) :: E_1, E_K       ! endpoints interpolated between i and i+1
+    real(8) :: E_l_k, E_l_k1  ! adjacent E on outgoing grid l
+
+    ! Determine number of incoming/outgoing energies
+    n_energy_in = size(this%energy_in)
+    n_energy_out = size(this%energy_out, 1)
+
+    ! Determine index on incoming energy grid and interpolation factor
+    i = binary_search(this%energy_in, size(this%energy_in), E_in)
+    r = (E_in - this%energy_in(i)) / &
+         (this%energy_in(i+1) - this%energy_in(i))
+
+    ! Sample outgoing energy bin
+    k = 1 + int(n_energy_out * prn())
+
+    ! Determine E_1 and E_K
+    E_i_1 = this%energy_out(1, i)
+    E_i_K = this%energy_out(n_energy_out, i)
+
+    E_i1_1 = this%energy_out(1, i+1)
+    E_i1_K = this%energy_out(n_energy_out, i+1)
+
+    E_1 = E_i_1 + r*(E_i1_1 - E_i_1)
+    E_K = E_i_K + r*(E_i1_K - E_i_K)
+
+    ! Randomly select between the outgoing table for incoming energy E_i and
+    ! E_(i+1)
+    if (prn() < r) then
+      l = i + 1
+    else
+      l = i
+    end if
+
+    ! Determine E_l_k and E_l_k+1
+    E_l_k  = this%energy_out(k, l)
+    E_l_k1 = this%energy_out(k+1, l)
+
+    ! Determine E' (denoted here as E_out)
+    E_out  = E_l_k + prn()*(E_l_k1 - E_l_k)
+
+    ! Now interpolate between incident energy bins i and i + 1
+    if (l == i) then
+      E_out = E_1 + (E_out - E_i_1)*(E_K - E_1)/(E_i_K - E_i_1)
+    else
+      E_out = E_1 + (E_out - E_i1_1)*(E_K - E_1)/(E_i1_K - E_i1_1)
+    end if
+  end function equiprobable_sample
+
+
+  function level_inelastic_sample(this, E_in) result(E_out)
+    class(LevelInelastic), intent(in) :: this
+    real(8), intent(in) :: E_in
+    real(8) :: E_out
+
+    E_out = this%mass_ratio*(E_in - this%threshold)
+  end function level_inelastic_sample
+
+
+  function continuous_sample(this, E_in) result(E_out)
+    class(ContinuousTabular), intent(in) :: this
+    real(8), intent(in) :: E_in  ! incoming energy
+    real(8)             :: E_out ! sampled outgoing energy
+
+    integer :: i, k, l          ! indices
+    integer :: n_energy_in      ! number of incoming energies
+    integer :: n_energy_out     ! number of outgoing energies
+    real(8) :: r                ! interpolation factor on incoming energy
+    real(8) :: r1               ! random number on [0,1)
+    real(8) :: frac             ! interpolation factor on outgoing energy
+    real(8) :: E_i_1, E_i_K     ! endpoints on outgoing grid i
+    real(8) :: E_i1_1, E_i1_K   ! endpoints on outgoing grid i+1
+    real(8) :: E_1, E_K         ! endpoints interpolated between i and i+1
+    real(8) :: E_l_k, E_l_k1    ! adjacent E on outgoing grid l
+    real(8) :: p_l_k, p_l_k1    ! adjacent p on outgoing grid l
+    real(8) :: c_k, c_k1        ! cumulative probability
+    logical :: histogram_interp ! whether histogram interpolation is used
+
+    ! Read number of interpolation regions and incoming energies
+    if (this%n_region == 1) then
+      histogram_interp = (this%interpolation(1) == 1)
+    else
+      histogram_interp = .false.
+    end if
+
+    ! Find energy bin and calculate interpolation factor -- if the energy is
+    ! outside the range of the tabulated energies, choose the first or last bins
+    n_energy_in = size(this%energy)
+    if (E_in < this%energy(1)) then
+      i = 1
+      r = ZERO
+    elseif (E_in > this%energy(n_energy_in)) then
+      i = n_energy_in - 1
+      r = ONE
+    else
+      i = binary_search(this%energy, n_energy_in, E_in)
+      r = (E_in - this%energy(i)) / &
+           (this%energy(i+1) - this%energy(i))
+    end if
+
+    ! Sample between the ith and (i+1)th bin
+    if (histogram_interp) then
+      l = i
+    else
+      if (r > prn()) then
+        l = i + 1
+      else
+        l = i
+      end if
+    end if
+
+    ! Interpolation for energy E1 and EK
+    n_energy_out = size(this%distribution(i)%e_out)
+    E_i_1 = this%distribution(i)%e_out(1)
+    E_i_K = this%distribution(i)%e_out(n_energy_out)
+
+    n_energy_out = size(this%distribution(i+1)%e_out)
+    E_i1_1 = this%distribution(i+1)%e_out(1)
+    E_i1_K = this%distribution(i+1)%e_out(n_energy_out)
+
+    E_1 = E_i_1 + r*(E_i1_1 - E_i_1)
+    E_K = E_i_K + r*(E_i1_K - E_i_K)
+
+    ! Determine outgoing energy bin
+    n_energy_out = size(this%distribution(l)%e_out)
+    r1 = prn()
+    c_k = this%distribution(l)%c(1)
+    do k = 1, n_energy_out - 1
+      c_k1 = this%distribution(l)%c(k+1)
+      if (r1 < c_k1) exit
+      c_k = c_k1
+    end do
+
+    ! Check to make sure k is <= NP - 1
+    k = min(k, n_energy_out - 1)
+
+    E_l_k = this%distribution(l)%e_out(k)
+    p_l_k = this%distribution(l)%p(k)
+    if (this%distribution(l)%interpolation == HISTOGRAM) then
+      ! Histogram interpolation
+      if (p_l_k > ZERO) then
+        E_out = E_l_k + (r1 - c_k)/p_l_k
+      else
+        E_out = E_l_k
+      end if
+
+    elseif (this%distribution(l)%interpolation == LINEAR_LINEAR) then
+      ! Linear-linear interpolation
+      E_l_k1 = this%distribution(l)%e_out(k+1)
+      p_l_k1 = this%distribution(l)%p(k+1)
+
+      frac = (p_l_k1 - p_l_k)/(E_l_k1 - E_l_k)
+      if (frac == ZERO) then
+        E_out = E_l_k + (r1 - c_k)/p_l_k
+      else
+        E_out = E_l_k + (sqrt(max(ZERO, p_l_k*p_l_k + &
+             TWO*frac*(r1 - c_k))) - p_l_k)/frac
+      end if
+    end if
+
+    ! Now interpolate between incident energy bins i and i + 1
+    if (.not. histogram_interp) then
+      if (l == i) then
+        E_out = E_1 + (E_out - E_i_1)*(E_K - E_1)/(E_i_K - E_i_1)
+      else
+        E_out = E_1 + (E_out - E_i1_1)*(E_K - E_1)/(E_i1_K - E_i1_1)
+      end if
+    end if
+  end function continuous_sample
+
+
+  function maxwellenergy_sample(this, E_in) result(E_out)
+    class(MaxwellEnergy), intent(in) :: this
+    real(8), intent(in) :: E_in  ! incoming energy
+    real(8)             :: E_out ! sampled outgoing energy
+
+    real(8) :: theta ! Maxwell distribution parameter
+
+    ! Get temperature corresponding to incoming energy
+    theta = this % theta % evaluate(E_in)
+
+    do
+      ! Sample maxwell fission spectrum
+      E_out = maxwell_spectrum(theta)
+
+      ! Accept energy based on restriction energy
+      if (E_out <= E_in - this%u) exit
+    end do
+  end function maxwellenergy_sample
+
+  function evaporation_sample(this, E_in) result(E_out)
+    class(Evaporation), intent(in) :: this
+    real(8), intent(in) :: E_in  ! incoming energy
+    real(8)             :: E_out ! sampled outgoing energy
+
+    real(8) :: theta    ! evaporation spectrum parameter
+    real(8) :: x, y, v
+
+    ! Get temperature corresponding to incoming energy
+    theta = this % theta % evaluate(E_in)
+
+    y = (E_in - this%u)/theta
+    v = 1 - exp(-y)
+
+    ! Sample outgoing energy based on evaporation spectrum probability
+    ! density function
+    do
+      x = -log((ONE - v*prn())*(ONE - v*prn()))
+      if (x <= y) exit
+    end do
+
+    E_out = x*theta
+  end function evaporation_sample
+
+  function watt_sample(this, E_in) result(E_out)
+    class(WattEnergy), intent(in) :: this
+    real(8), intent(in) :: E_in  ! incoming energy
+    real(8)             :: E_out ! sampled outgoing energy
+
+    real(8) :: a, b ! Watt spectrum parameters
+
+    ! Determine Watt parameter 'a' from tabulated function
+    a = this % a % evaluate(E_in)
+
+    ! Determine Watt parameter 'b' from tabulated function
+    b = this % b % evaluate(E_in)
+
+    do
+      ! Sample energy-dependent Watt fission spectrum
+      E_out = watt_spectrum(a, b)
+
+      ! Accept energy based on restriction energy
+      if (E_out <= E_in - this%u) exit
+    end do
+  end function watt_sample
+
+end module energy_distribution
diff --git a/src/error.F90 b/src/error.F90
index ecd7eb4530..9e5ca84792 100644
--- a/src/error.F90
+++ b/src/error.F90
@@ -3,8 +3,6 @@ module error
   use, intrinsic :: ISO_FORTRAN_ENV
   use constants
 
-  use global
-
 #ifdef MPI
   use message_passing
 #endif
@@ -87,6 +85,9 @@ contains
     integer :: line_wrap ! length of line
     integer :: length    ! length of message
     integer :: indent    ! length of indentation
+#ifdef MPI
+    integer :: mpi_err
+#endif
 
 
     ! set default error code
@@ -136,16 +137,6 @@ contains
       end if
     end do
 
-    ! Write information on current batch, generation, and particle
-    if (current_batch > 0) then
-      write(ERROR_UNIT,'(1X,A,I12) ') 'Batch:     ', current_batch
-      write(ERROR_UNIT,'(1X,A,I12) ') 'Generation:', current_gen
-      write(ERROR_UNIT,*)
-    end if
-
-    ! Release memory from all allocatable arrays
-    call free_memory()
-
 #ifdef MPI
     ! Abort MPI
     call MPI_ABORT(MPI_COMM_WORLD, code, mpi_err)
diff --git a/src/fission.F90 b/src/fission.F90
deleted file mode 100644
index a005d9f5bc..0000000000
--- a/src/fission.F90
+++ /dev/null
@@ -1,161 +0,0 @@
-module fission
-
-  use ace_header,    only: Nuclide
-  use constants
-  use error,         only: fatal_error
-  use interpolation, only: interpolate_tab1
-  use search,        only: binary_search
-
-  implicit none
-
-contains
-
-!===============================================================================
-! NU_TOTAL calculates the total number of neutrons emitted per fission for a
-! given nuclide and incoming neutron energy
-!===============================================================================
-
-  pure function nu_total(nuc, E) result(nu)
-    type(Nuclide), intent(in) :: nuc ! nuclide from which to find nu
-    real(8),       intent(in) :: E   ! energy of incoming neutron
-    real(8)                   :: nu  ! number of total neutrons emitted per fission
-
-    integer :: i  ! loop index
-    integer :: NC ! number of polynomial coefficients
-    real(8) :: c  ! polynomial coefficient
-
-    if (nuc % nu_t_type == NU_NONE) then
-      nu = ERROR_REAL
-    elseif (nuc % nu_t_type == NU_POLYNOMIAL) then
-      ! determine number of coefficients
-      NC = int(nuc % nu_t_data(1))
-
-      ! sum up polynomial in energy
-      nu = ZERO
-      do i = 0, NC - 1
-        c = nuc % nu_t_data(i+2)
-        nu = nu + c * E**i
-      end do
-    elseif (nuc % nu_t_type == NU_TABULAR) then
-      ! use ENDF interpolation laws to determine nu
-      nu = interpolate_tab1(nuc % nu_t_data, E)
-    end if
-
-  end function nu_total
-
-!===============================================================================
-! NU_PROMPT calculates the total number of prompt neutrons emitted per fission
-! for a given nuclide and incoming neutron energy
-!===============================================================================
-
-  pure function nu_prompt(nuc, E) result(nu)
-    type(Nuclide), intent(in) :: nuc ! nuclide from which to find nu
-    real(8),       intent(in) :: E   ! energy of incoming neutron
-    real(8)                   :: nu  ! number of prompt neutrons emitted per fission
-
-    integer :: i  ! loop index
-    integer :: NC ! number of polynomial coefficients
-    real(8) :: c  ! polynomial coefficient
-
-    if (nuc % nu_p_type == NU_NONE) then
-      ! since no prompt or delayed data is present, this means all neutron
-      ! emission is prompt -- WARNING: This currently returns zero. The calling
-      ! routine needs to know this situation is occurring since we don't want
-      ! to call nu_total unnecessarily if it has already been called.
-      nu = ZERO
-    elseif (nuc % nu_p_type == NU_POLYNOMIAL) then
-      ! determine number of coefficients
-      NC = int(nuc % nu_p_data(1))
-
-      ! sum up polynomial in energy
-      nu = ZERO
-      do i = 0, NC - 1
-        c = nuc % nu_p_data(i+2)
-        nu = nu + c * E**i
-      end do
-    elseif (nuc % nu_p_type == NU_TABULAR) then
-      ! use ENDF interpolation laws to determine nu
-      nu = interpolate_tab1(nuc % nu_p_data, E)
-    end if
-
-  end function nu_prompt
-
-!===============================================================================
-! NU_DELAYED calculates the total number of delayed neutrons emitted per fission
-! for a given nuclide and incoming neutron energy
-!===============================================================================
-
-  pure function nu_delayed(nuc, E) result(nu)
-    type(Nuclide), intent(in) :: nuc ! nuclide from which to find nu
-    real(8),       intent(in) :: E   ! energy of incoming neutron
-    real(8)                   :: nu  ! number of delayed neutrons emitted per fission
-
-    if (nuc % nu_d_type == NU_NONE) then
-      ! since no prompt or delayed data is present, this means all neutron
-      ! emission is prompt -- WARNING: This currently returns zero. The calling
-      ! routine needs to know this situation is occurring since we don't want
-      ! to call nu_delayed unnecessarily if it has already been called.
-      nu = ZERO
-    elseif (nuc % nu_d_type == NU_TABULAR) then
-      ! use ENDF interpolation laws to determine nu
-      nu = interpolate_tab1(nuc % nu_d_data, E)
-    end if
-
-  end function nu_delayed
-
-!===============================================================================
-! YIELD_DELAYED calculates the fractional yield of delayed neutrons emitted for
-! a given nuclide and incoming neutron energy in a given delayed group.
-!===============================================================================
-
-  pure function yield_delayed(nuc, E, g) result(yield)
-    type(Nuclide), intent(in) :: nuc   ! nuclide from which to find nu
-    real(8), intent(in)       :: E     ! energy of incoming neutron
-    real(8)                   :: yield ! delayed neutron precursor yield
-    integer, intent(in)       :: g     ! the delayed neutron precursor group
-    integer                   :: d     ! precursor group
-    integer                   :: lc    ! index before start of energies/nu values
-    integer                   :: NR    ! number of interpolation regions
-    integer                   :: NE    ! number of energies tabulated
-
-    yield = ZERO
-
-    if (g > nuc % n_precursor .or. g < 1) then
-      ! if the precursor group is outside the range of precursor groups for
-      ! the input nuclide, return ZERO.
-      yield = ZERO
-    else if (nuc % nu_d_type == NU_NONE) then
-      ! since no prompt or delayed data is present, this means all neutron
-      ! emission is prompt -- WARNING: This currently returns zero. The calling
-      ! routine needs to know this situation is occurring since we don't want
-      ! to call yield_delayed unnecessarily if it has already been called.
-      yield = ZERO
-    else if (nuc % nu_d_type == NU_TABULAR) then
-
-      lc = 1
-
-      ! loop over delayed groups and determine the yield for the desired group
-      do d = 1, nuc % n_precursor
-
-        ! determine number of interpolation regions and energies
-        NR = int(nuc % nu_d_precursor_data(lc + 1))
-        NE = int(nuc % nu_d_precursor_data(lc + 2 + 2*NR))
-
-        ! check if this is the desired group
-        if (d == g) then
-
-          ! determine delayed neutron precursor yield for group g
-          yield = interpolate_tab1(nuc % nu_d_precursor_data( &
-               lc+1:lc+2+2*NR+2*NE), E)
-
-          exit
-        end if
-
-        ! advance pointer
-        lc = lc + 2 + 2*NR + 2*NE + 1
-      end do
-    end if
-
-  end function yield_delayed
-
-end module fission
diff --git a/src/geometry.F90 b/src/geometry.F90
index 9a084a77cb..767e2db108 100644
--- a/src/geometry.F90
+++ b/src/geometry.F90
@@ -193,7 +193,9 @@ contains
     logical,        intent(inout) :: found
     integer,        optional      :: search_cells(:)
     integer :: i                    ! index over cells
-    integer :: j                    ! coordinate level index
+    integer :: j, k                 ! coordinate level index
+    integer :: offset               ! instance # of a distributed cell
+    integer :: distribcell_index
     integer :: i_xyz(3)             ! indices in lattice
     integer :: n                    ! number of cells to search
     integer :: index_cell           ! index in cells array
@@ -246,9 +248,66 @@ contains
         ! ======================================================================
         ! AT LOWEST UNIVERSE, TERMINATE SEARCH
 
-        ! set material
+        ! Set the particle material
         p % last_material = p % material
-        p % material = c % material
+        if (size(c % material) == 1) then
+          ! Only one material for this cell; assign that one to the particle.
+          p % material = c % material(1)
+        else
+          ! Distributed instances of this cell have different materials.
+          ! Determine which instance this is and assign the matching material.
+          distribcell_index = c % distribcell_index
+          offset = 0
+          do k = 1, p % n_coord
+            if (cells(p % coord(k) % cell) % type == CELL_FILL) then
+              offset = offset + cells(p % coord(k) % cell) % &
+                   offset(distribcell_index)
+            elseif (cells(p % coord(k) % cell) % type == CELL_LATTICE) then
+              if (lattices(p % coord(k + 1) % lattice) % obj &
+                   % are_valid_indices([&
+                   p % coord(k + 1) % lattice_x, &
+                   p % coord(k + 1) % lattice_y, &
+                   p % coord(k + 1) % lattice_z])) then
+                offset = offset + lattices(p % coord(k + 1) % lattice) % obj % &
+                     offset(distribcell_index, &
+                     p % coord(k + 1) % lattice_x, &
+                     p % coord(k + 1) % lattice_y, &
+                     p % coord(k + 1) % lattice_z)
+              end if
+            end if
+          end do
+          p % material = c % material(offset + 1)
+        end if
+
+        ! Set the particle temperature
+        if (size(c % sqrtkT) == 1) then
+          ! Only one temperature for this cell; assign that one to the particle.
+          p % sqrtkT = c % sqrtkT(1)
+        else
+          ! Distributed instances of this cell have different temperatures.
+          ! Determine which instance this is and assign the matching temp.
+          distribcell_index = c % distribcell_index
+          offset = 0
+          do k = 1, p % n_coord
+            if (cells(p % coord(k) % cell) % type == CELL_FILL) then
+              offset = offset + cells(p % coord(k) % cell) % &
+                   offset(distribcell_index)
+            elseif (cells(p % coord(k) % cell) % type == CELL_LATTICE) then
+              if (lattices(p % coord(k + 1) % lattice) % obj &
+                   % are_valid_indices([&
+                   p % coord(k + 1) % lattice_x, &
+                   p % coord(k + 1) % lattice_y, &
+                   p % coord(k + 1) % lattice_z])) then
+                offset = offset + lattices(p % coord(k + 1) % lattice) % obj % &
+                     offset(distribcell_index, &
+                     p % coord(k + 1) % lattice_x, &
+                     p % coord(k + 1) % lattice_y, &
+                     p % coord(k + 1) % lattice_z)
+              end if
+            end if
+          end do
+          p % sqrtkT = c % sqrtkT(offset + 1)
+        end if
 
       elseif (c % type == CELL_FILL) then CELL_TYPE
         ! ======================================================================
@@ -308,9 +367,10 @@ contains
         else
           ! Particle is outside the lattice.
           if (lat % outer == NO_OUTER_UNIVERSE) then
-            call fatal_error("A particle is outside latttice " &
-                 // trim(to_str(lat % id)) // " but the lattice has no &
-                 &defined outer universe.")
+            call handle_lost_particle(p, "Particle " // trim(to_str(p %id)) &
+                 // " is outside lattice " // trim(to_str(lat % id)) &
+                 // " but the lattice has no defined outer universe.")
+            return
           else
             p % coord(j + 1) % universe = lat % outer
           end if
@@ -348,6 +408,7 @@ contains
     real(8) :: v         ! y-component of direction
     real(8) :: w         ! z-component of direction
     real(8) :: norm      ! "norm" of surface normal
+    real(8) :: xyz(3)    ! Saved global coordinate
     integer :: i_surface ! index in surfaces
     logical :: found     ! particle found in universe?
     class(Surface), pointer :: surf
@@ -402,12 +463,13 @@ contains
 
       ! Score surface currents since reflection causes the direction of the
       ! particle to change -- artificially move the particle slightly back in
-      ! case the surface crossing in coincident with a mesh boundary
+      ! case the surface crossing is coincident with a mesh boundary
 
       if (active_current_tallies % size() > 0) then
+        xyz = p % coord(1) % xyz
         p % coord(1) % xyz = p % coord(1) % xyz - TINY_BIT * p % coord(1) % uvw
         call score_surface_current(p)
-        p % coord(1) % xyz = p % coord(1) % xyz + TINY_BIT * p % coord(1) % uvw
+        p % coord(1) % xyz = xyz
       end if
 
       ! Reflect particle off surface
@@ -445,6 +507,70 @@ contains
              &// trim(to_str(surf%id)))
       end if
       return
+    elseif (surf % bc == BC_PERIODIC .and. run_mode /= MODE_PLOTTING) then
+      ! =======================================================================
+      ! PERIODIC BOUNDARY
+
+      ! Do not handle periodic boundary conditions on lower universes
+      if (p % n_coord /= 1) then
+        call handle_lost_particle(p, "Cannot transfer particle " &
+             // trim(to_str(p % id)) // " across surface in a lower universe.&
+             & Boundary conditions must be applied to universe 0.")
+        return
+      end if
+
+      ! Score surface currents since reflection causes the direction of the
+      ! particle to change -- artificially move the particle slightly back in
+      ! case the surface crossing is coincident with a mesh boundary
+
+      if (active_current_tallies % size() > 0) then
+        xyz = p % coord(1) % xyz
+        p % coord(1) % xyz = p % coord(1) % xyz - TINY_BIT * p % coord(1) % uvw
+        call score_surface_current(p)
+        p % coord(1) % xyz = xyz
+      end if
+
+      select type (surf)
+      type is (SurfaceXPlane)
+        select type (opposite => surfaces(surf % i_periodic) % obj)
+        type is (SurfaceXPlane)
+          p % coord(1) % xyz(1) = opposite % x0
+        end select
+
+      type is (SurfaceYPlane)
+        select type (opposite => surfaces(surf % i_periodic) % obj)
+        type is (SurfaceYPlane)
+          p % coord(1) % xyz(2) = opposite % y0
+        end select
+
+      type is (SurfaceZPlane)
+        select type (opposite => surfaces(surf % i_periodic) % obj)
+        type is (SurfaceZPlane)
+          p % coord(1) % xyz(3) = opposite % z0
+        end select
+      end select
+
+      ! Reassign particle's surface
+      p % surface = sign(surf % i_periodic, p % surface)
+
+      ! Figure out what cell particle is in now
+      p % n_coord = 1
+      call find_cell(p, found)
+      if (.not. found) then
+        call handle_lost_particle(p, "Couldn't find particle after hitting &
+             &periodic boundary on surface " // trim(to_str(surf%id)) // ".")
+        return
+      end if
+
+      ! Set previous coordinate going slightly past surface crossing
+      p % last_xyz = p % coord(1) % xyz + TINY_BIT * p % coord(1) % uvw
+
+      ! Diagnostic message
+      if (verbosity >= 10 .or. trace) then
+        call write_message("    Hit periodic boundary on surface " &
+             // trim(to_str(surf%id)))
+      end if
+      return
     end if
 
     ! ==========================================================================
@@ -536,9 +662,11 @@ contains
       p % n_coord = 1
       call find_cell(p, found)
       if (.not. found) then
-        call handle_lost_particle(p, "Could not locate particle " &
-             // trim(to_str(p % id)) // " after crossing a lattice boundary.")
-        return
+        if (p % alive) then ! Particle may have been killed in find_cell
+          call handle_lost_particle(p, "Could not locate particle " &
+               // trim(to_str(p % id)) // " after crossing a lattice boundary.")
+          return
+        end if
       end if
 
     else OUTSIDE_LAT
@@ -947,6 +1075,8 @@ contains
     type(Particle), intent(inout) :: p
     character(*)                  :: message
 
+    integer(8) :: tot_n_particles
+
     ! Print warning and write lost particle file
     call warning(message)
     call write_particle_restart(p)
@@ -956,9 +1086,13 @@ contains
 !$omp atomic
     n_lost_particles = n_lost_particles + 1
 
+    ! Count the total number of simulated particles (on this processor)
+    tot_n_particles = n_batches * gen_per_batch * work
+
     ! Abort the simulation if the maximum number of lost particles has been
     ! reached
-    if (n_lost_particles == MAX_LOST_PARTICLES) then
+    if (n_lost_particles >= MAX_LOST_PARTICLES .and. &
+         n_lost_particles >= REL_MAX_LOST_PARTICLES * tot_n_particles) then
       call fatal_error("Maximum number of lost particles has been reached.")
     end if
 
diff --git a/src/geometry_header.F90 b/src/geometry_header.F90
index 6ca13740ba..1d1826fbfb 100644
--- a/src/geometry_header.F90
+++ b/src/geometry_header.F90
@@ -1,6 +1,6 @@
 module geometry_header
 
-  use constants, only: HALF, TWO, THREE
+  use constants, only: HALF, TWO, THREE, INFINITY
 
   implicit none
 
@@ -31,12 +31,10 @@ module geometry_header
     integer              :: outer            ! universe to tile outside the lat
     logical              :: is_3d            ! Lattice has cells on z axis
     integer, allocatable :: offset(:,:,:,:)  ! Distribcell offsets
-
-    contains
-
-    procedure(are_valid_indices_), deferred :: are_valid_indices
-    procedure(get_indices_),       deferred :: get_indices
-    procedure(get_local_xyz_),     deferred :: get_local_xyz
+  contains
+    procedure(lattice_are_valid_indices_), deferred :: are_valid_indices
+    procedure(lattice_get_indices_),       deferred :: get_indices
+    procedure(lattice_get_local_xyz_),     deferred :: get_local_xyz
   end type Lattice
 
   abstract interface
@@ -45,33 +43,33 @@ module geometry_header
 ! ARE_VALID_INDICES returns .true. if the given lattice indices fit within the
 ! bounds of the lattice.  Returns false otherwise.
 
-    function are_valid_indices_(this, i_xyz) result(is_valid)
+    function lattice_are_valid_indices_(this, i_xyz) result(is_valid)
       import Lattice
       class(Lattice), intent(in) :: this
       integer,        intent(in) :: i_xyz(3)
       logical                    :: is_valid
-    end function are_valid_indices_
+    end function lattice_are_valid_indices_
 
 !===============================================================================
 ! GET_INDICES returns the indices in a lattice for the given global xyz.
 
-    function get_indices_(this, global_xyz) result(i_xyz)
+    function lattice_get_indices_(this, global_xyz) result(i_xyz)
       import Lattice
       class(Lattice), intent(in) :: this
       real(8),        intent(in) :: global_xyz(3)
       integer                    :: i_xyz(3)
-    end function get_indices_
+    end function lattice_get_indices_
 
 !===============================================================================
 ! GET_LOCAL_XYZ returns the translated local version of the given global xyz.
 
-    function get_local_xyz_(this, global_xyz, i_xyz) result(local_xyz)
+    function lattice_get_local_xyz_(this, global_xyz, i_xyz) result(local_xyz)
       import Lattice
       class(Lattice), intent(in) :: this
       real(8),        intent(in) :: global_xyz(3)
       integer,        intent(in) :: i_xyz(3)
       real(8)                    :: local_xyz(3)
-    end function get_local_xyz_
+    end function lattice_get_local_xyz_
   end interface
 
 !===============================================================================
@@ -126,15 +124,22 @@ module geometry_header
     integer :: fill                        ! universe # filling this cell
     integer :: instances                   ! number of instances of this cell in
                                            !  the geom
-    integer :: material                    ! Material within cell (0 for
-                                           !  universe)
-    integer, allocatable :: offset (:)     ! Distribcell offset for tally
+    integer, allocatable :: material(:)    ! Material within cell.  Multiple
+                                           !  materials for distribcell
+                                           !  instances.  0 signifies a universe
+    integer, allocatable :: offset(:)      ! Distribcell offset for tally
                                            !  counter
     integer, allocatable :: region(:)      ! Definition of spatial region as
-                                           ! Boolean expression of half-spaces
+                                           !  Boolean expression of half-spaces
     integer, allocatable :: rpn(:)         ! Reverse Polish notation for region
-                                           ! expression
-    logical :: simple                      ! Is the region simple (intersections only)
+                                           !  expression
+    logical :: simple                      ! Is the region simple (intersections
+                                           !  only)
+    integer :: distribcell_index           ! Index corresponding to this cell in
+                                           !  distribcell arrays
+    real(8), allocatable :: sqrtkT(:)      ! Square root of k_Boltzmann *
+                                           !  temperature in MeV.  Multiple for
+                                           !  distribcell
 
     ! Rotation matrix and translation vector
     real(8), allocatable :: translation(:)
@@ -199,20 +204,22 @@ contains
     real(8),           intent(in) :: global_xyz(3)
     integer                       :: i_xyz(3)
 
-    real(8) :: xyz(3)    ! global_xyz alias
+    real(8) :: xyz(3)    ! global xyz relative to the center
     real(8) :: alpha     ! Skewed coord axis
     real(8) :: xyz_t(3)  ! Local xyz
-    real(8) :: dists(4)  ! Squared distances from cell centers
+    real(8) :: d, d_min  ! Squared distance from cell centers
     integer :: i, j, k   ! Iterators
-    integer :: loc(1)    ! Minimum distance index
+    integer :: k_min     ! Minimum distance index
 
-    xyz = global_xyz
+    xyz(1) = global_xyz(1) - this % center(1)
+    xyz(2) = global_xyz(2) - this % center(2)
 
     ! Index z direction.
     if (this % is_3d) then
-      i_xyz(3) = ceiling((xyz(3) - this % center(3))/this % pitch(2) + HALF)&
-           + this % n_axial/2
+      xyz(3) = global_xyz(3) - this % center(3)
+      i_xyz(3) = ceiling(xyz(3)/this % pitch(2) + HALF*this % n_axial)
     else
+      xyz(3) = global_xyz(3)
       i_xyz(3) = 1
     end if
 
@@ -231,28 +238,33 @@ contains
     ! the four possible cells.  Regular hexagonal tiles form a centroidal
     ! Voronoi tessellation so the global xyz should be in the hexagonal cell
     ! that it is closest to the center of.  This method is used over a
-    ! method that uses the remainders of the floor divisions above becasue it
+    ! method that uses the remainders of the floor divisions above because it
     ! provides better finite precision performance.  Squared distances are
     ! used becasue they are more computationally efficient than normal
     ! distances.
     k = 1
-    do i=0,1
-      do j=0,1
-        xyz_t = this % get_local_xyz(xyz, i_xyz + (/j, i, 0/))
-        dists(k) = xyz_t(1)**2 + xyz_t(2)**2
+    d_min = INFINITY
+    do i = 0, 1
+      do j = 0, 1
+        xyz_t = this % get_local_xyz(global_xyz, i_xyz + [j, i, 0])
+        d = xyz_t(1)**2 + xyz_t(2)**2
+        if (d < d_min) then
+          d_min = d
+          k_min = k
+        end if
         k = k + 1
       end do
     end do
 
     ! Select the minimum squared distance which corresponds to the cell the
     ! coordinates are in.
-    loc = minloc(dists)
-    if (loc(1) == 2) then
-      i_xyz = i_xyz + (/1, 0, 0/)
-    else if (loc(1) == 3) then
-      i_xyz = i_xyz + (/0, 1, 0/)
-    else if (loc(1) == 4) then
-      i_xyz = i_xyz + (/1, 1, 0/)
+    if (k_min == 2) then
+      i_xyz(1) = i_xyz(1) + 1
+    else if (k_min == 3) then
+      i_xyz(2) = i_xyz(2) + 1
+    else if (k_min == 4) then
+      i_xyz(1) = i_xyz(1) + 1
+      i_xyz(2) = i_xyz(2) + 1
     end if
   end function get_inds_hex
 
@@ -301,7 +313,7 @@ contains
          (i_xyz(1) - this % n_rings) * this % pitch(1) / TWO)
     if (this % is_3d) then
       local_xyz(3) = xyz(3) - this % center(3) &
-           + (this % n_axial/2 - i_xyz(3) + 1) * this % pitch(2)
+           + (HALF*this % n_axial - i_xyz(3) + HALF) * this % pitch(2)
     else
       local_xyz(3) = xyz(3)
     end if
diff --git a/src/global.F90 b/src/global.F90
index 88ace73b6d..357887199e 100644
--- a/src/global.F90
+++ b/src/global.F90
@@ -1,7 +1,5 @@
 module global
 
-  use ace_header,       only: Nuclide, SAlphaBeta, xsListing, NuclideMicroXS, &
-                              MaterialMacroXS, Nuclide0K
   use bank_header,      only: Bank
   use cmfd_header
   use constants
@@ -9,10 +7,13 @@ module global
   use geometry_header,  only: Cell, Universe, Lattice, LatticeContainer
   use material_header,  only: Material
   use mesh_header,      only: RegularMesh
+  use mgxs_header,      only: Mgxs, MgxsContainer
+  use nuclide_header
   use plot_header,      only: ObjectPlot
+  use sab_header,       only: SAlphaBeta
   use set_header,       only: SetInt
   use surface_header,   only: SurfaceContainer
-  use source_header,    only: ExtSource
+  use source_header,    only: SourceDistribution
   use tally_header,     only: TallyObject, TallyMap, TallyResult
   use trigger_header,   only: KTrigger
   use timer_header,     only: Timer
@@ -22,7 +23,6 @@ module global
 #endif
 
   implicit none
-  save
 
   ! ============================================================================
   ! GEOMETRY-RELATED VARIABLES
@@ -59,39 +59,82 @@ module global
   integer :: n_lost_particles
 
   ! ============================================================================
-  ! CROSS SECTION RELATED VARIABLES
+  ! ENERGY TREATMENT RELATED VARIABLES
+  logical :: run_CE = .true.  ! Run in CE mode?
+
+  ! ============================================================================
+  ! CROSS SECTION RELATED VARIABLES NEEDED REGARDLESS OF CE OR MG
 
   ! Cross section arrays
-  type(Nuclide),    allocatable, target :: nuclides(:)    ! Nuclide cross-sections
-  type(SAlphaBeta), allocatable, target :: sab_tables(:)  ! S(a,b) tables
   type(XsListing),  allocatable, target :: xs_listings(:) ! cross_sections.xml listings
 
+  integer :: n_nuclides_total ! Number of nuclide cross section tables
+  integer :: n_listings       ! Number of listings in cross_sections.xml
+
   ! Cross section caches
   type(NuclideMicroXS), allocatable :: micro_xs(:)  ! Cache for each nuclide
   type(MaterialMacroXS)             :: material_xs  ! Cache for current material
 
-  integer :: n_nuclides_total ! Number of nuclide cross section tables
+  ! Dictionaries to look up cross sections and listings
+  type(DictCharInt) :: nuclide_dict
+  type(DictCharInt) :: xs_listing_dict
+
+  ! Default xs identifier (e.g. 70c or 300K)
+  character(5):: default_xs
+
+  ! ============================================================================
+  ! CONTINUOUS-ENERGY CROSS SECTION RELATED VARIABLES
+
+  ! Cross section arrays
+  type(Nuclide), allocatable, target :: nuclides(:)    ! Nuclide cross-sections
+  type(SAlphaBeta), allocatable, target :: sab_tables(:)  ! S(a,b) tables
+
   integer :: n_sab_tables     ! Number of S(a,b) thermal scattering tables
-  integer :: n_listings       ! Number of listings in cross_sections.xml
 
   ! Minimum/maximum energies
   real(8) :: energy_min_neutron = ZERO
   real(8) :: energy_max_neutron = INFINITY
 
   ! Dictionaries to look up cross sections and listings
-  type(DictCharInt) :: nuclide_dict
   type(DictCharInt) :: sab_dict
-  type(DictCharInt) :: xs_listing_dict
 
   ! Unreoslved resonance probablity tables
   logical :: urr_ptables_on = .true.
 
-  ! Default xs identifier (e.g. 70c)
-  character(3):: default_xs
-
   ! What to assume for expanding natural elements
   integer :: default_expand = ENDF_BVII1
 
+  ! Whether or not windowed multipole cross sections should be used.
+  logical :: multipole_active = .false.
+
+  ! Total amount of nuclide ZAID and dictionary of nuclide ZAID and index
+  integer(8)       :: n_nuc_zaid_total
+  type(DictIntInt) :: nuc_zaid_dict
+
+  ! ============================================================================
+  ! MULTI-GROUP CROSS SECTION RELATED VARIABLES
+
+  ! Cross section arrays
+  type(MgxsContainer), allocatable, target :: nuclides_MG(:)
+
+  ! Cross section caches
+  type(MgxsContainer), target, allocatable :: macro_xs(:)
+
+  ! Number of energy groups
+  integer :: energy_groups
+
+  ! Energy group structure
+  real(8), allocatable :: energy_bins(:)
+
+  ! Midpoint of the energy group structure
+  real(8), allocatable :: energy_bin_avg(:)
+
+  ! Inverse velocities of the energy groups (provided or estimated)
+  real(8), allocatable :: inverse_velocities(:)
+
+  ! Maximum Data Order
+  integer :: max_order
+
   ! ============================================================================
   ! TALLY-RELATED VARIABLES
 
@@ -182,7 +225,7 @@ module global
   logical :: satisfy_triggers = .false.       ! whether triggers are satisfied
 
   ! External source
-  type(ExtSource), target :: external_source
+  type(SourceDistribution), allocatable :: external_source(:)
 
   ! Source and fission bank
   type(Bank), allocatable, target :: source_bank(:)
@@ -283,15 +326,13 @@ module global
 
   character(MAX_FILE_LEN) :: path_input            ! Path to input file
   character(MAX_FILE_LEN) :: path_cross_sections   ! Path to cross_sections.xml
+  character(MAX_FILE_LEN) :: path_multipole        ! Path to wmp library
   character(MAX_FILE_LEN) :: path_source = ''      ! Path to binary source
   character(MAX_FILE_LEN) :: path_state_point      ! Path to binary state point
   character(MAX_FILE_LEN) :: path_source_point     ! Path to binary source point
   character(MAX_FILE_LEN) :: path_particle_restart ! Path to particle restart
   character(MAX_FILE_LEN) :: path_output = ''      ! Path to output directory
 
-  ! Random number seed
-  integer(8) :: seed = 1_8
-
   ! The verbosity controls how much information will be printed to the
   ! screen and in logs
   integer :: verbosity = 7
@@ -394,7 +435,7 @@ module global
   type(SetInt) :: sourcepoint_batch
 
   ! Various output options
-  logical :: output_summary = .false.
+  logical :: output_summary = .true.
   logical :: output_xs      = .false.
   logical :: output_tallies = .true.
 
@@ -448,17 +489,20 @@ contains
       deallocate(nuclides_0K)
     end if
 
+    if (allocated(nuclides_MG)) then
+      deallocate(nuclides_MG)
+    end if
+
+    if (allocated(macro_xs)) then
+      deallocate(macro_xs)
+    end if
+
     if (allocated(sab_tables)) deallocate(sab_tables)
     if (allocated(xs_listings)) deallocate(xs_listings)
     if (allocated(micro_xs)) deallocate(micro_xs)
 
     ! Deallocate external source
-    if (allocated(external_source % params_space)) &
-         deallocate(external_source % params_space)
-    if (allocated(external_source % params_angle)) &
-         deallocate(external_source % params_angle)
-    if (allocated(external_source % params_energy)) &
-         deallocate(external_source % params_energy)
+    if (allocated(external_source)) deallocate(external_source)
 
     ! Deallocate k and entropy
     if (allocated(k_generation)) deallocate(k_generation)
diff --git a/src/hdf5_interface.F90 b/src/hdf5_interface.F90
index fc7a462e6a..44541a50e1 100644
--- a/src/hdf5_interface.F90
+++ b/src/hdf5_interface.F90
@@ -62,16 +62,31 @@ module hdf5_interface
     module procedure read_string_1D
     module procedure read_tally_result_1D
     module procedure read_tally_result_2D
+    module procedure read_complex_2D
   end interface read_dataset
 
+  interface read_attribute
+    module procedure read_attribute_double
+    module procedure read_attribute_double_1D
+    module procedure read_attribute_double_2D
+    module procedure read_attribute_integer
+    module procedure read_attribute_integer_1D
+    module procedure read_attribute_integer_2D
+    module procedure read_attribute_string
+  end interface read_attribute
+
   public :: write_dataset
   public :: read_dataset
+  public :: read_attribute
   public :: file_create
   public :: file_open
   public :: file_close
   public :: create_group
   public :: open_group
   public :: close_group
+  public :: open_dataset
+  public :: close_dataset
+  public :: get_shape
   public :: write_attribute_string
 
 contains
@@ -243,6 +258,44 @@ contains
     end if
   end subroutine close_group
 
+!===============================================================================
+! OPEN_DATASET opens an existing HDF5 dataset
+!===============================================================================
+
+  function open_dataset(group_id, name) result(dataset_id)
+    integer(HID_T), intent(in) :: group_id
+    character(*),   intent(in) :: name ! name of dataset
+    integer(HID_T)             :: dataset_id
+
+    logical :: exists   ! does the dataset exist
+    integer :: hdf5_err ! HDF5 error code
+
+    ! Check if group exists
+    call h5ltpath_valid_f(group_id, trim(name), .true., exists, hdf5_err)
+
+    ! open group if it exists
+    if (exists) then
+      call h5dopen_f(group_id, trim(name), dataset_id, hdf5_err)
+    else
+      call fatal_error("The dataset '" // trim(name) // "' does not exist.")
+    end if
+  end function open_dataset
+
+!===============================================================================
+! CLOSE_GROUP closes HDF5 temp_group
+!===============================================================================
+
+  subroutine close_dataset(dataset_id)
+    integer(HID_T), intent(inout) :: dataset_id
+
+    integer :: hdf5_err ! HDF5 error code
+
+    call h5dclose_f(dataset_id, hdf5_err)
+    if (hdf5_err < 0) then
+      call fatal_error("Unable to close HDF5 dataset.")
+    end if
+  end subroutine close_dataset
+
 !===============================================================================
 ! WRITE_DOUBLE writes double precision scalar data
 !===============================================================================
@@ -293,19 +346,27 @@ contains
 ! READ_DOUBLE reads double precision scalar data
 !===============================================================================
 
-  subroutine read_double(group_id, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    character(*), intent(in)           :: name    ! name for data
-    real(8),      intent(inout), target :: buffer  ! read data to here
-    logical,      intent(in), optional :: indep ! independent I/O
+  subroutine read_double(buffer, obj_id, name, indep)
+    real(8),      target,   intent(inout) :: buffer
+    integer(HID_T),         intent(in)    :: obj_id
+    character(*), optional, intent(in)    :: name
+    logical,      optional, intent(in)    :: indep  ! independent I/O
 
-    integer :: hdf5_err
-    integer :: data_xfer_mode
+    integer        :: hdf5_err
+    integer        :: data_xfer_mode
 #ifdef PHDF5
     integer(HID_T) :: plist   ! property list
 #endif
-    integer(HID_T) :: dset    ! data set handle
-    type(c_ptr) :: f_ptr
+    integer(HID_T) :: dset_id
+    type(c_ptr)    :: f_ptr
+
+    ! If 'name' argument is passed, obj_id is interpreted to be a group and
+    ! 'name' is the name of the dataset we should read from
+    if (present(name)) then
+      call h5dopen_f(obj_id, trim(name), dset_id, hdf5_err)
+    else
+      dset_id = obj_id
+    end if
 
     ! Set up collective vs. independent I/O
     data_xfer_mode = H5FD_MPIO_COLLECTIVE_F
@@ -313,21 +374,20 @@ contains
       if (indep) data_xfer_mode = H5FD_MPIO_INDEPENDENT_F
     end if
 
-    call h5dopen_f(group_id, trim(name), dset, hdf5_err)
     f_ptr = c_loc(buffer)
 
-    if (using_mpio_device(group_id)) then
+    if (using_mpio_device(dset_id)) then
 #ifdef PHDF5
       call h5pcreate_f(H5P_DATASET_XFER_F, plist, hdf5_err)
       call h5pset_dxpl_mpio_f(plist, data_xfer_mode, hdf5_err)
-      call h5dread_f(dset, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err, xfer_prp=plist)
+      call h5dread_f(dset_id, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err, xfer_prp=plist)
       call h5pclose_f(plist, hdf5_err)
 #endif
     else
-      call h5dread_f(dset, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
+      call h5dread_f(dset_id, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
     end if
 
-    call h5dclose_f(dset, hdf5_err)
+    if (present(name)) call h5dclose_f(dset_id, hdf5_err)
   end subroutine read_double
 
 !===============================================================================
@@ -396,35 +456,46 @@ contains
 ! READ_DOUBLE_1D reads double precision 1-D array data
 !===============================================================================
 
-  subroutine read_double_1D(group_id, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    character(*), intent(in)           :: name      ! name of data
-    real(8),      intent(inout), target :: buffer(:) ! data to write
-    logical,      intent(in), optional :: indep   ! independent I/O
+  subroutine read_double_1D(buffer, obj_id, name, indep)
+    real(8), target,        intent(inout) :: buffer(:)
+    integer(HID_T),         intent(in)    :: obj_id
+    character(*), optional, intent(in)    :: name
+    logical,      optional, intent(in)    :: indep  ! independent I/O
 
+    integer          :: hdf5_err
+    integer(HID_T)   :: dset_id
     integer(HSIZE_T) :: dims(1)
 
-    dims(:) = shape(buffer)
-    if (present(indep)) then
-      call read_double_1D_explicit(group_id, dims, name, buffer, indep)
+    ! If 'name' argument is passed, obj_id is interpreted to be a group and
+    ! 'name' is the name of the dataset we should read from
+    if (present(name)) then
+      call h5dopen_f(obj_id, trim(name), dset_id, hdf5_err)
     else
-      call read_double_1D_explicit(group_id, dims, name, buffer)
+      dset_id = obj_id
     end if
+
+    dims(:) = shape(buffer)
+
+    if (present(indep)) then
+      call read_double_1D_explicit(dset_id, dims, buffer, indep)
+    else
+      call read_double_1D_explicit(dset_id, dims, buffer)
+    end if
+
+    if (present(name)) call h5dclose_f(dset_id, hdf5_err)
   end subroutine read_double_1D
 
-  subroutine read_double_1D_explicit(group_id, dims, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    integer(HSIZE_T), intent(in) :: dims(1)
-    character(*), intent(in)           :: name      ! name of data
-    real(8),      intent(inout), target :: buffer(dims(1)) ! data to write
-    logical,      intent(in), optional :: indep   ! independent I/O
+  subroutine read_double_1D_explicit(dset_id, dims, buffer, indep)
+    integer(HID_T),    intent(in)    :: dset_id
+    integer(HSIZE_T),  intent(in)    :: dims(1)
+    real(8), target,   intent(inout) :: buffer(dims(1))
+    logical, optional, intent(in)    :: indep   ! independent I/O
 
     integer :: hdf5_err
     integer :: data_xfer_mode
 #ifdef PHDF5
     integer(HID_T) :: plist   ! property list
 #endif
-    integer(HID_T) :: dset    ! data set handle
     type(c_ptr) :: f_ptr
 
     ! Set up collective vs. independent I/O
@@ -433,21 +504,18 @@ contains
       if (indep) data_xfer_mode = H5FD_MPIO_INDEPENDENT_F
     end if
 
-    call h5dopen_f(group_id, trim(name), dset, hdf5_err)
     f_ptr = c_loc(buffer)
 
-    if (using_mpio_device(group_id)) then
+    if (using_mpio_device(dset_id)) then
 #ifdef PHDF5
       call h5pcreate_f(H5P_DATASET_XFER_F, plist, hdf5_err)
       call h5pset_dxpl_mpio_f(plist, data_xfer_mode, hdf5_err)
-      call h5dread_f(dset, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err, xfer_prp=plist)
+      call h5dread_f(dset_id, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err, xfer_prp=plist)
       call h5pclose_f(plist, hdf5_err)
 #endif
     else
-      call h5dread_f(dset, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
+      call h5dread_f(dset_id, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
     end if
-
-    call h5dclose_f(dset, hdf5_err)
   end subroutine read_double_1D_explicit
 
 !===============================================================================
@@ -516,35 +584,46 @@ contains
 ! READ_DOUBLE_2D reads double precision 2-D array data
 !===============================================================================
 
-  subroutine read_double_2D(group_id, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    character(*), intent(in)           :: name      ! name of data
-    real(8),      intent(inout), target :: buffer(:,:) ! data to write
-    logical,      intent(in), optional :: indep   ! independent I/O
+  subroutine read_double_2D(buffer, obj_id, name, indep)
+    real(8), target,        intent(inout) :: buffer(:,:)
+    integer(HID_T),         intent(in)    :: obj_id
+    character(*), optional, intent(in)    :: name
+    logical,      optional, intent(in)    :: indep  ! independent I/O
 
+    integer          :: hdf5_err
+    integer(HID_T)   :: dset_id
     integer(HSIZE_T) :: dims(2)
 
-    dims(:) = shape(buffer)
-    if (present(indep)) then
-      call read_double_2D_explicit(group_id, dims, name, buffer, indep)
+    ! If 'name' argument is passed, obj_id is interpreted to be a group and
+    ! 'name' is the name of the dataset we should read from
+    if (present(name)) then
+      call h5dopen_f(obj_id, trim(name), dset_id, hdf5_err)
     else
-      call read_double_2D_explicit(group_id, dims, name, buffer)
+      dset_id = obj_id
     end if
+
+    dims(:) = shape(buffer)
+
+    if (present(indep)) then
+      call read_double_2D_explicit(dset_id, dims, buffer, indep)
+    else
+      call read_double_2D_explicit(dset_id, dims, buffer)
+    end if
+
+    if (present(name)) call h5dclose_f(dset_id, hdf5_err)
   end subroutine read_double_2D
 
-  subroutine read_double_2D_explicit(group_id, dims, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    integer(HSIZE_T), intent(in) :: dims(2)
-    character(*), intent(in)           :: name      ! name of data
-    real(8),      intent(inout), target :: buffer(dims(1),dims(2))
-    logical,      intent(in), optional :: indep   ! independent I/O
+  subroutine read_double_2D_explicit(dset_id, dims, buffer, indep)
+    integer(HID_T),    intent(in)    :: dset_id
+    integer(HSIZE_T),  intent(in)    :: dims(2)
+    real(8), target,   intent(inout) :: buffer(dims(1),dims(2))
+    logical, optional, intent(in)    :: indep   ! independent I/O
 
     integer :: hdf5_err
     integer :: data_xfer_mode
 #ifdef PHDF5
     integer(HID_T) :: plist   ! property list
 #endif
-    integer(HID_T) :: dset    ! data set handle
     type(c_ptr) :: f_ptr
 
     ! Set up collective vs. independent I/O
@@ -553,21 +632,18 @@ contains
       if (indep) data_xfer_mode = H5FD_MPIO_INDEPENDENT_F
     end if
 
-    call h5dopen_f(group_id, trim(name), dset, hdf5_err)
     f_ptr = c_loc(buffer)
 
-    if (using_mpio_device(group_id)) then
+    if (using_mpio_device(dset_id)) then
 #ifdef PHDF5
       call h5pcreate_f(H5P_DATASET_XFER_F, plist, hdf5_err)
       call h5pset_dxpl_mpio_f(plist, data_xfer_mode, hdf5_err)
-      call h5dread_f(dset, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err, xfer_prp=plist)
+      call h5dread_f(dset_id, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err, xfer_prp=plist)
       call h5pclose_f(plist, hdf5_err)
 #endif
     else
-      call h5dread_f(dset, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
+      call h5dread_f(dset_id, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
     end if
-
-    call h5dclose_f(dset, hdf5_err)
   end subroutine read_double_2D_explicit
 
 !===============================================================================
@@ -636,35 +712,46 @@ contains
 ! READ_DOUBLE_3D reads double precision 3-D array data
 !===============================================================================
 
-  subroutine read_double_3D(group_id, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    character(*), intent(in)           :: name      ! name of data
-    real(8),      intent(inout), target :: buffer(:,:,:) ! data to write
-    logical,      intent(in), optional :: indep   ! independent I/O
+  subroutine read_double_3D(buffer, obj_id, name, indep)
+    real(8), target,        intent(inout) :: buffer(:,:,:)
+    integer(HID_T),         intent(in)    :: obj_id
+    character(*), optional, intent(in)    :: name
+    logical,      optional, intent(in)    :: indep  ! independent I/O
 
+    integer          :: hdf5_err
+    integer(HID_T)   :: dset_id
     integer(HSIZE_T) :: dims(3)
 
-    dims(:) = shape(buffer)
-    if (present(indep)) then
-      call read_double_3D_explicit(group_id, dims, name, buffer, indep)
+    ! If 'name' argument is passed, obj_id is interpreted to be a group and
+    ! 'name' is the name of the dataset we should read from
+    if (present(name)) then
+      call h5dopen_f(obj_id, trim(name), dset_id, hdf5_err)
     else
-      call read_double_3D_explicit(group_id, dims, name, buffer)
+      dset_id = obj_id
     end if
+
+    dims(:) = shape(buffer)
+
+    if (present(indep)) then
+      call read_double_3D_explicit(dset_id, dims, buffer, indep)
+    else
+      call read_double_3D_explicit(dset_id, dims, buffer)
+    end if
+
+    if (present(name)) call h5dclose_f(dset_id, hdf5_err)
   end subroutine read_double_3D
 
-  subroutine read_double_3D_explicit(group_id, dims, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    integer(HSIZE_T), intent(in) :: dims(3)
-    character(*), intent(in)           :: name      ! name of data
-    real(8),      intent(inout), target :: buffer(dims(1),dims(2),dims(3))
-    logical,      intent(in), optional :: indep   ! independent I/O
+  subroutine read_double_3D_explicit(dset_id, dims, buffer, indep)
+    integer(HID_T),    intent(in)    :: dset_id
+    integer(HSIZE_T),  intent(in)    :: dims(3)
+    real(8), target,   intent(inout) :: buffer(dims(1),dims(2),dims(3))
+    logical, optional, intent(in)    :: indep   ! independent I/O
 
     integer :: hdf5_err
     integer :: data_xfer_mode
 #ifdef PHDF5
     integer(HID_T) :: plist   ! property list
 #endif
-    integer(HID_T) :: dset    ! data set handle
     type(c_ptr) :: f_ptr
 
     ! Set up collective vs. independent I/O
@@ -673,21 +760,18 @@ contains
       if (indep) data_xfer_mode = H5FD_MPIO_INDEPENDENT_F
     end if
 
-    call h5dopen_f(group_id, trim(name), dset, hdf5_err)
     f_ptr = c_loc(buffer)
 
-    if (using_mpio_device(group_id)) then
+    if (using_mpio_device(dset_id)) then
 #ifdef PHDF5
       call h5pcreate_f(H5P_DATASET_XFER_F, plist, hdf5_err)
       call h5pset_dxpl_mpio_f(plist, data_xfer_mode, hdf5_err)
-      call h5dread_f(dset, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err, xfer_prp=plist)
+      call h5dread_f(dset_id, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err, xfer_prp=plist)
       call h5pclose_f(plist, hdf5_err)
 #endif
     else
-      call h5dread_f(dset, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
+      call h5dread_f(dset_id, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
     end if
-
-    call h5dclose_f(dset, hdf5_err)
   end subroutine read_double_3D_explicit
 
 !===============================================================================
@@ -756,35 +840,46 @@ contains
 ! READ_DOUBLE_4D reads double precision 4-D array data
 !===============================================================================
 
-  subroutine read_double_4D(group_id, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    character(*), intent(in)           :: name      ! name of data
-    real(8),      intent(inout), target :: buffer(:,:,:,:) ! data to write
-    logical,      intent(in), optional :: indep   ! independent I/O
+  subroutine read_double_4D(buffer, obj_id, name, indep)
+    real(8), target,        intent(inout) :: buffer(:,:,:,:)
+    integer(HID_T),         intent(in)    :: obj_id
+    character(*), optional, intent(in)    :: name
+    logical,      optional, intent(in)    :: indep  ! independent I/O
 
+    integer          :: hdf5_err
+    integer(HID_T)   :: dset_id
     integer(HSIZE_T) :: dims(4)
 
-    dims(:) = shape(buffer)
-    if (present(indep)) then
-      call read_double_4D_explicit(group_id, dims, name, buffer, indep)
+    ! If 'name' argument is passed, obj_id is interpreted to be a group and
+    ! 'name' is the name of the dataset we should read from
+    if (present(name)) then
+      call h5dopen_f(obj_id, trim(name), dset_id, hdf5_err)
     else
-      call read_double_4D_explicit(group_id, dims, name, buffer)
+      dset_id = obj_id
     end if
+
+    dims(:) = shape(buffer)
+
+    if (present(indep)) then
+      call read_double_4D_explicit(dset_id, dims, buffer, indep)
+    else
+      call read_double_4D_explicit(dset_id, dims, buffer)
+    end if
+
+    if (present(name)) call h5dclose_f(dset_id, hdf5_err)
   end subroutine read_double_4D
 
-  subroutine read_double_4D_explicit(group_id, dims, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    integer(HSIZE_T), intent(in) :: dims(4)
-    character(*), intent(in)           :: name      ! name of data
-    real(8),      intent(inout), target :: buffer(dims(1),dims(2),dims(3),dims(4))
-    logical,      intent(in), optional :: indep   ! independent I/O
+  subroutine read_double_4D_explicit(dset_id, dims, buffer, indep)
+    integer(HID_T),    intent(in)    :: dset_id
+    integer(HSIZE_T),  intent(in)    :: dims(4)
+    real(8), target,   intent(inout) :: buffer(dims(1),dims(2),dims(3),dims(4))
+    logical, optional, intent(in)    :: indep   ! independent I/O
 
     integer :: hdf5_err
     integer :: data_xfer_mode
 #ifdef PHDF5
     integer(HID_T) :: plist   ! property list
 #endif
-    integer(HID_T) :: dset    ! data set handle
     type(c_ptr) :: f_ptr
 
     ! Set up collective vs. independent I/O
@@ -793,21 +888,18 @@ contains
       if (indep) data_xfer_mode = H5FD_MPIO_INDEPENDENT_F
     end if
 
-    call h5dopen_f(group_id, trim(name), dset, hdf5_err)
     f_ptr = c_loc(buffer)
 
-    if (using_mpio_device(group_id)) then
+    if (using_mpio_device(dset_id)) then
 #ifdef PHDF5
       call h5pcreate_f(H5P_DATASET_XFER_F, plist, hdf5_err)
       call h5pset_dxpl_mpio_f(plist, data_xfer_mode, hdf5_err)
-      call h5dread_f(dset, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err, xfer_prp=plist)
+      call h5dread_f(dset_id, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err, xfer_prp=plist)
       call h5pclose_f(plist, hdf5_err)
 #endif
     else
-      call h5dread_f(dset, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
+      call h5dread_f(dset_id, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
     end if
-
-    call h5dclose_f(dset, hdf5_err)
   end subroutine read_double_4D_explicit
 
 !===============================================================================
@@ -860,19 +952,27 @@ contains
 ! READ_INTEGER reads integer precision scalar data
 !===============================================================================
 
-  subroutine read_integer(group_id, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    character(*), intent(in)           :: name    ! name for data
-    integer,      intent(inout), target :: buffer  ! read data to here
-    logical,      intent(in), optional :: indep ! independent I/O
+  subroutine read_integer(buffer, obj_id, name, indep)
+    integer,      target,   intent(inout) :: buffer
+    integer(HID_T),         intent(in)    :: obj_id
+    character(*), optional, intent(in)    :: name
+    logical,      optional, intent(in)    :: indep  ! independent I/O
 
-    integer :: hdf5_err
-    integer :: data_xfer_mode
+    integer        :: hdf5_err
+    integer        :: data_xfer_mode
 #ifdef PHDF5
     integer(HID_T) :: plist   ! property list
 #endif
-    integer(HID_T) :: dset    ! data set handle
-    type(c_ptr) :: f_ptr
+    integer(HID_T) :: dset_id
+    type(c_ptr)    :: f_ptr
+
+    ! If 'name' argument is passed, obj_id is interpreted to be a group and
+    ! 'name' is the name of the dataset we should read from
+    if (present(name)) then
+      call h5dopen_f(obj_id, trim(name), dset_id, hdf5_err)
+    else
+      dset_id = obj_id
+    end if
 
     ! Set up collective vs. independent I/O
     data_xfer_mode = H5FD_MPIO_COLLECTIVE_F
@@ -880,21 +980,20 @@ contains
       if (indep) data_xfer_mode = H5FD_MPIO_INDEPENDENT_F
     end if
 
-    call h5dopen_f(group_id, trim(name), dset, hdf5_err)
     f_ptr = c_loc(buffer)
 
-    if (using_mpio_device(group_id)) then
+    if (using_mpio_device(dset_id)) then
 #ifdef PHDF5
       call h5pcreate_f(H5P_DATASET_XFER_F, plist, hdf5_err)
       call h5pset_dxpl_mpio_f(plist, data_xfer_mode, hdf5_err)
-      call h5dread_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, xfer_prp=plist)
+      call h5dread_f(dset_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, xfer_prp=plist)
       call h5pclose_f(plist, hdf5_err)
 #endif
     else
-      call h5dread_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
+      call h5dread_f(dset_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
     end if
 
-    call h5dclose_f(dset, hdf5_err)
+    if (present(name)) call h5dclose_f(dset_id, hdf5_err)
   end subroutine read_integer
 
 !===============================================================================
@@ -963,35 +1062,46 @@ contains
 ! READ_INTEGER_1D reads integer precision 1-D array data
 !===============================================================================
 
-  subroutine read_integer_1D(group_id, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    character(*), intent(in)           :: name      ! name of data
-    integer,      intent(inout), target :: buffer(:) ! data to write
-    logical,      intent(in), optional :: indep   ! independent I/O
+  subroutine read_integer_1D(buffer, obj_id, name, indep)
+    integer, target,        intent(inout) :: buffer(:)
+    integer(HID_T),         intent(in)    :: obj_id
+    character(*), optional, intent(in)    :: name
+    logical,      optional, intent(in)    :: indep  ! independent I/O
 
+    integer          :: hdf5_err
+    integer(HID_T)   :: dset_id
     integer(HSIZE_T) :: dims(1)
 
-    dims(:) = shape(buffer)
-    if (present(indep)) then
-      call read_integer_1D_explicit(group_id, dims, name, buffer, indep)
+    ! If 'name' argument is passed, obj_id is interpreted to be a group and
+    ! 'name' is the name of the dataset we should read from
+    if (present(name)) then
+      call h5dopen_f(obj_id, trim(name), dset_id, hdf5_err)
     else
-      call read_integer_1D_explicit(group_id, dims, name, buffer)
+      dset_id = obj_id
     end if
+
+    dims(:) = shape(buffer)
+
+    if (present(indep)) then
+      call read_integer_1D_explicit(dset_id, dims, buffer, indep)
+    else
+      call read_integer_1D_explicit(dset_id, dims, buffer)
+    end if
+
+    if (present(name)) call h5dclose_f(dset_id, hdf5_err)
   end subroutine read_integer_1D
 
-  subroutine read_integer_1D_explicit(group_id, dims, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    integer(HSIZE_T), intent(in) :: dims(1)
-    character(*), intent(in)           :: name      ! name of data
-    integer,      intent(inout), target :: buffer(dims(1)) ! data to write
-    logical,      intent(in), optional :: indep   ! independent I/O
+  subroutine read_integer_1D_explicit(dset_id, dims, buffer, indep)
+    integer(HID_T),    intent(in)    :: dset_id
+    integer(HSIZE_T),  intent(in)    :: dims(1)
+    integer, target,   intent(inout) :: buffer(dims(1))
+    logical, optional, intent(in)    :: indep   ! independent I/O
 
     integer :: hdf5_err
     integer :: data_xfer_mode
 #ifdef PHDF5
     integer(HID_T) :: plist   ! property list
 #endif
-    integer(HID_T) :: dset    ! data set handle
     type(c_ptr) :: f_ptr
 
     ! Set up collective vs. independent I/O
@@ -1000,21 +1110,18 @@ contains
       if (indep) data_xfer_mode = H5FD_MPIO_INDEPENDENT_F
     end if
 
-    call h5dopen_f(group_id, trim(name), dset, hdf5_err)
     f_ptr = c_loc(buffer)
 
-    if (using_mpio_device(group_id)) then
+    if (using_mpio_device(dset_id)) then
 #ifdef PHDF5
       call h5pcreate_f(H5P_DATASET_XFER_F, plist, hdf5_err)
       call h5pset_dxpl_mpio_f(plist, data_xfer_mode, hdf5_err)
-      call h5dread_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, xfer_prp=plist)
+      call h5dread_f(dset_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, xfer_prp=plist)
       call h5pclose_f(plist, hdf5_err)
 #endif
     else
-      call h5dread_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
+      call h5dread_f(dset_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
     end if
-
-    call h5dclose_f(dset, hdf5_err)
   end subroutine read_integer_1D_explicit
 
 !===============================================================================
@@ -1083,35 +1190,46 @@ contains
 ! READ_INTEGER_2D reads integer precision 2-D array data
 !===============================================================================
 
-  subroutine read_integer_2D(group_id, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    character(*), intent(in)           :: name      ! name of data
-    integer,      intent(inout), target :: buffer(:,:) ! data to write
-    logical,      intent(in), optional :: indep   ! independent I/O
+  subroutine read_integer_2D(buffer, obj_id, name, indep)
+    integer, target,        intent(inout) :: buffer(:,:)
+    integer(HID_T),         intent(in)    :: obj_id
+    character(*), optional, intent(in)    :: name
+    logical,      optional, intent(in)    :: indep  ! independent I/O
 
+    integer          :: hdf5_err
+    integer(HID_T)   :: dset_id
     integer(HSIZE_T) :: dims(2)
 
-    dims(:) = shape(buffer)
-    if (present(indep)) then
-      call read_integer_2D_explicit(group_id, dims, name, buffer, indep)
+    ! If 'name' argument is passed, obj_id is interpreted to be a group and
+    ! 'name' is the name of the dataset we should read from
+    if (present(name)) then
+      call h5dopen_f(obj_id, trim(name), dset_id, hdf5_err)
     else
-      call read_integer_2D_explicit(group_id, dims, name, buffer)
+      dset_id = obj_id
     end if
+
+    dims(:) = shape(buffer)
+
+    if (present(indep)) then
+      call read_integer_2D_explicit(dset_id, dims, buffer, indep)
+    else
+      call read_integer_2D_explicit(dset_id, dims, buffer)
+    end if
+
+    if (present(name)) call h5dclose_f(dset_id, hdf5_err)
   end subroutine read_integer_2D
 
-  subroutine read_integer_2D_explicit(group_id, dims, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    integer(HSIZE_T), intent(in) :: dims(2)
-    character(*), intent(in)           :: name      ! name of data
-    integer,      intent(inout), target :: buffer(dims(1),dims(2))
-    logical,      intent(in), optional :: indep   ! independent I/O
+  subroutine read_integer_2D_explicit(dset_id, dims, buffer, indep)
+    integer(HID_T),    intent(in)    :: dset_id
+    integer(HSIZE_T),  intent(in)    :: dims(2)
+    integer, target,   intent(inout) :: buffer(dims(1),dims(2))
+    logical, optional, intent(in)    :: indep   ! independent I/O
 
     integer :: hdf5_err
     integer :: data_xfer_mode
 #ifdef PHDF5
     integer(HID_T) :: plist   ! property list
 #endif
-    integer(HID_T) :: dset    ! data set handle
     type(c_ptr) :: f_ptr
 
     ! Set up collective vs. independent I/O
@@ -1120,21 +1238,18 @@ contains
       if (indep) data_xfer_mode = H5FD_MPIO_INDEPENDENT_F
     end if
 
-    call h5dopen_f(group_id, trim(name), dset, hdf5_err)
     f_ptr = c_loc(buffer)
 
-    if (using_mpio_device(group_id)) then
+    if (using_mpio_device(dset_id)) then
 #ifdef PHDF5
       call h5pcreate_f(H5P_DATASET_XFER_F, plist, hdf5_err)
       call h5pset_dxpl_mpio_f(plist, data_xfer_mode, hdf5_err)
-      call h5dread_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, xfer_prp=plist)
+      call h5dread_f(dset_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, xfer_prp=plist)
       call h5pclose_f(plist, hdf5_err)
 #endif
     else
-      call h5dread_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
+      call h5dread_f(dset_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
     end if
-
-    call h5dclose_f(dset, hdf5_err)
   end subroutine read_integer_2D_explicit
 
 !===============================================================================
@@ -1203,35 +1318,46 @@ contains
 ! READ_INTEGER_3D reads integer precision 3-D array data
 !===============================================================================
 
-  subroutine read_integer_3D(group_id, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    character(*), intent(in)           :: name      ! name of data
-    integer,      intent(inout), target :: buffer(:,:,:) ! data to write
-    logical,      intent(in), optional :: indep   ! independent I/O
+  subroutine read_integer_3D(buffer, obj_id, name, indep)
+    integer, target,        intent(inout) :: buffer(:,:,:)
+    integer(HID_T),         intent(in)    :: obj_id
+    character(*), optional, intent(in)    :: name
+    logical,      optional, intent(in)    :: indep  ! independent I/O
 
+    integer          :: hdf5_err
+    integer(HID_T)   :: dset_id
     integer(HSIZE_T) :: dims(3)
 
-    dims(:) = shape(buffer)
-    if (present(indep)) then
-      call read_integer_3D_explicit(group_id, dims, name, buffer, indep)
+    ! If 'name' argument is passed, obj_id is interpreted to be a group and
+    ! 'name' is the name of the dataset we should read from
+    if (present(name)) then
+      call h5dopen_f(obj_id, trim(name), dset_id, hdf5_err)
     else
-      call read_integer_3D_explicit(group_id, dims, name, buffer)
+      dset_id = obj_id
     end if
+
+    dims(:) = shape(buffer)
+
+    if (present(indep)) then
+      call read_integer_3D_explicit(dset_id, dims, buffer, indep)
+    else
+      call read_integer_3D_explicit(dset_id, dims, buffer)
+    end if
+
+    if (present(name)) call h5dclose_f(dset_id, hdf5_err)
   end subroutine read_integer_3D
 
-  subroutine read_integer_3D_explicit(group_id, dims, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    integer(HSIZE_T), intent(in) :: dims(3)
-    character(*), intent(in)           :: name      ! name of data
-    integer,      intent(inout), target :: buffer(dims(1),dims(2),dims(3))
-    logical,      intent(in), optional :: indep   ! independent I/O
+  subroutine read_integer_3D_explicit(dset_id, dims, buffer, indep)
+    integer(HID_T),    intent(in)    :: dset_id
+    integer(HSIZE_T),  intent(in)    :: dims(3)
+    integer, target,   intent(inout) :: buffer(dims(1),dims(2),dims(3))
+    logical, optional, intent(in)    :: indep   ! independent I/O
 
     integer :: hdf5_err
     integer :: data_xfer_mode
 #ifdef PHDF5
     integer(HID_T) :: plist   ! property list
 #endif
-    integer(HID_T) :: dset    ! data set handle
     type(c_ptr) :: f_ptr
 
     ! Set up collective vs. independent I/O
@@ -1240,21 +1366,18 @@ contains
       if (indep) data_xfer_mode = H5FD_MPIO_INDEPENDENT_F
     end if
 
-    call h5dopen_f(group_id, trim(name), dset, hdf5_err)
     f_ptr = c_loc(buffer)
 
-    if (using_mpio_device(group_id)) then
+    if (using_mpio_device(dset_id)) then
 #ifdef PHDF5
       call h5pcreate_f(H5P_DATASET_XFER_F, plist, hdf5_err)
       call h5pset_dxpl_mpio_f(plist, data_xfer_mode, hdf5_err)
-      call h5dread_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, xfer_prp=plist)
+      call h5dread_f(dset_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, xfer_prp=plist)
       call h5pclose_f(plist, hdf5_err)
 #endif
     else
-      call h5dread_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
+      call h5dread_f(dset_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
     end if
-
-    call h5dclose_f(dset, hdf5_err)
   end subroutine read_integer_3D_explicit
 
 !===============================================================================
@@ -1323,35 +1446,46 @@ contains
 ! READ_INTEGER_4D reads integer precision 4-D array data
 !===============================================================================
 
-  subroutine read_integer_4D(group_id, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    character(*), intent(in)           :: name      ! name of data
-    integer,      intent(inout), target :: buffer(:,:,:,:) ! data to write
-    logical,      intent(in), optional :: indep   ! independent I/O
+  subroutine read_integer_4D(buffer, obj_id, name, indep)
+    integer, target,        intent(inout) :: buffer(:,:,:,:)
+    integer(HID_T),         intent(in)    :: obj_id
+    character(*), optional, intent(in)    :: name
+    logical,      optional, intent(in)    :: indep  ! independent I/O
 
+    integer          :: hdf5_err
+    integer(HID_T)   :: dset_id
     integer(HSIZE_T) :: dims(4)
 
-    dims(:) = shape(buffer)
-    if (present(indep)) then
-      call read_integer_4D_explicit(group_id, dims, name, buffer, indep)
+    ! If 'name' argument is passed, obj_id is interpreted to be a group and
+    ! 'name' is the name of the dataset we should read from
+    if (present(name)) then
+      call h5dopen_f(obj_id, trim(name), dset_id, hdf5_err)
     else
-      call read_integer_4D_explicit(group_id, dims, name, buffer)
+      dset_id = obj_id
     end if
+
+    dims(:) = shape(buffer)
+
+    if (present(indep)) then
+      call read_integer_4D_explicit(dset_id, dims, buffer, indep)
+    else
+      call read_integer_4D_explicit(dset_id, dims, buffer)
+    end if
+
+    if (present(name)) call h5dclose_f(dset_id, hdf5_err)
   end subroutine read_integer_4D
 
-  subroutine read_integer_4D_explicit(group_id, dims, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    integer(HSIZE_T), intent(in) :: dims(4)
-    character(*), intent(in)           :: name      ! name of data
-    integer,      intent(inout), target :: buffer(dims(1),dims(2),dims(3),dims(4))
-    logical,      intent(in), optional :: indep   ! independent I/O
+  subroutine read_integer_4D_explicit(dset_id, dims, buffer, indep)
+    integer(HID_T),    intent(in)    :: dset_id
+    integer(HSIZE_T),  intent(in)    :: dims(4)
+    integer, target,   intent(inout) :: buffer(dims(1),dims(2),dims(3),dims(4))
+    logical, optional, intent(in)    :: indep   ! independent I/O
 
     integer :: hdf5_err
     integer :: data_xfer_mode
 #ifdef PHDF5
     integer(HID_T) :: plist   ! property list
 #endif
-    integer(HID_T) :: dset    ! data set handle
     type(c_ptr) :: f_ptr
 
     ! Set up collective vs. independent I/O
@@ -1360,21 +1494,18 @@ contains
       if (indep) data_xfer_mode = H5FD_MPIO_INDEPENDENT_F
     end if
 
-    call h5dopen_f(group_id, trim(name), dset, hdf5_err)
     f_ptr = c_loc(buffer)
 
-    if (using_mpio_device(group_id)) then
+    if (using_mpio_device(dset_id)) then
 #ifdef PHDF5
       call h5pcreate_f(H5P_DATASET_XFER_F, plist, hdf5_err)
       call h5pset_dxpl_mpio_f(plist, data_xfer_mode, hdf5_err)
-      call h5dread_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, xfer_prp=plist)
+      call h5dread_f(dset_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, xfer_prp=plist)
       call h5pclose_f(plist, hdf5_err)
 #endif
     else
-      call h5dread_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
+      call h5dread_f(dset_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
     end if
-
-    call h5dclose_f(dset, hdf5_err)
   end subroutine read_integer_4D_explicit
 
 !===============================================================================
@@ -1427,19 +1558,27 @@ contains
 ! READ_LONG reads long integer scalar data
 !===============================================================================
 
-  subroutine read_long(group_id, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    character(*), intent(in)           :: name    ! name for data
-    integer(8),   intent(inout), target :: buffer  ! read data to here
-    logical,      intent(in), optional :: indep ! independent I/O
+  subroutine read_long(buffer, obj_id, name, indep)
+    integer(8),   target,   intent(inout) :: buffer
+    integer(HID_T),         intent(in)    :: obj_id
+    character(*), optional, intent(in)    :: name
+    logical,      optional, intent(in)    :: indep  ! independent I/O
 
-    integer :: hdf5_err
-    integer :: data_xfer_mode
+    integer        :: hdf5_err
+    integer        :: data_xfer_mode
 #ifdef PHDF5
     integer(HID_T) :: plist   ! property list
 #endif
-    integer(HID_T) :: dset    ! data set handle
-    type(c_ptr) :: f_ptr
+    integer(HID_T) :: dset_id
+    type(c_ptr)    :: f_ptr
+
+    ! If 'name' argument is passed, obj_id is interpreted to be a group and
+    ! 'name' is the name of the dataset we should read from
+    if (present(name)) then
+      call h5dopen_f(obj_id, trim(name), dset_id, hdf5_err)
+    else
+      dset_id = obj_id
+    end if
 
     ! Set up collective vs. independent I/O
     data_xfer_mode = H5FD_MPIO_COLLECTIVE_F
@@ -1447,21 +1586,20 @@ contains
       if (indep) data_xfer_mode = H5FD_MPIO_INDEPENDENT_F
     end if
 
-    call h5dopen_f(group_id, trim(name), dset, hdf5_err)
     f_ptr = c_loc(buffer)
 
-    if (using_mpio_device(group_id)) then
+    if (using_mpio_device(dset_id)) then
 #ifdef PHDF5
       call h5pcreate_f(H5P_DATASET_XFER_F, plist, hdf5_err)
       call h5pset_dxpl_mpio_f(plist, data_xfer_mode, hdf5_err)
-      call h5dread_f(dset, hdf5_integer8_t, f_ptr, hdf5_err, xfer_prp=plist)
+      call h5dread_f(dset_id, hdf5_integer8_t, f_ptr, hdf5_err, xfer_prp=plist)
       call h5pclose_f(plist, hdf5_err)
 #endif
     else
-      call h5dread_f(dset, hdf5_integer8_t, f_ptr, hdf5_err)
+      call h5dread_f(dset_id, hdf5_integer8_t, f_ptr, hdf5_err)
     end if
 
-    call h5dclose_f(dset, hdf5_err)
+    if (present(name)) call h5dclose_f(dset_id, hdf5_err)
   end subroutine read_long
 
 !===============================================================================
@@ -1529,37 +1667,42 @@ contains
 ! READ_STRING reads string data
 !===============================================================================
 
-  subroutine read_string(group_id, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    character(*), intent(in)            :: name    ! name for data
-    character(*), intent(inout), target :: buffer  ! read data to here
-    logical,      intent(in), optional  :: indep ! independent I/O
+  subroutine read_string(buffer, obj_id, name, indep)
+    character(*), target,   intent(inout) :: buffer
+    integer(HID_T),         intent(in)    :: obj_id
+    character(*), optional, intent(in)    :: name
+    logical,      optional, intent(in)    :: indep ! independent I/O
 
     integer :: hdf5_err
     integer :: data_xfer_mode
 #ifdef PHDF5
     integer(HID_T) :: plist   ! property list
 #endif
-    integer(HID_T) :: dset    ! data set handle
-    integer(HID_T) :: dspace  ! data or file space handle
+    integer(HID_T) :: dset_id
+    integer(HID_T) :: space_id
     integer(HID_T) :: filetype
     integer(HID_T) :: memtype
     integer(SIZE_T) :: size
     integer(SIZE_T) :: n
     type(c_ptr) :: f_ptr
 
+    if (present(name)) then
+      call h5dopen_f(obj_id, trim(name), dset_id, hdf5_err)
+    else
+      dset_id = obj_id
+    end if
+
     ! Set up collective vs. independent I/O
     data_xfer_mode = H5FD_MPIO_COLLECTIVE_F
     if (present(indep)) then
       if (indep) data_xfer_mode = H5FD_MPIO_INDEPENDENT_F
     end if
 
-    ! Get dataset and dataspace
-    call h5dopen_f(group_id, trim(name), dset, hdf5_err)
-    call h5dget_space_f(dset, dspace, hdf5_err)
+    ! Get dataspace
+    call h5dget_space_f(dset_id, space_id, hdf5_err)
 
     ! Make sure buffer is large enough
-    call h5dget_type_f(dset, filetype, hdf5_err)
+    call h5dget_type_f(dset_id, filetype, hdf5_err)
     call h5tget_size_f(filetype, size, hdf5_err)
     if (size > len(buffer) + 1) then
       call fatal_error("Character buffer is not long enough to &
@@ -1574,20 +1717,21 @@ contains
     ! Get pointer to start of string
     f_ptr = c_loc(buffer(1:1))
 
-    if (using_mpio_device(group_id)) then
+    if (using_mpio_device(dset_id)) then
 #ifdef PHDF5
       call h5pcreate_f(H5P_DATASET_XFER_F, plist, hdf5_err)
       call h5pset_dxpl_mpio_f(plist, data_xfer_mode, hdf5_err)
-      call h5dread_f(dset, memtype, f_ptr, hdf5_err, mem_space_id=dspace, &
-           xfer_prp=plist)
+      call h5dread_f(dset_id, memtype, f_ptr, hdf5_err, &
+           mem_space_id=space_id, xfer_prp=plist)
       call h5pclose_f(plist, hdf5_err)
 #endif
     else
-      call h5dread_f(dset, memtype, f_ptr, hdf5_err, mem_space_id=dspace)
+      call h5dread_f(dset_id, memtype, f_ptr, hdf5_err, mem_space_id=space_id)
     end if
 
-    call h5dclose_f(dset, hdf5_err)
-    call h5sclose_f(dspace, hdf5_err)
+    if (present(name)) call h5dclose_f(dset_id, hdf5_err)
+
+    call h5sclose_f(space_id, hdf5_err)
     call h5tclose_f(filetype, hdf5_err)
     call h5tclose_f(memtype, hdf5_err)
   end subroutine read_string
@@ -1674,36 +1818,45 @@ contains
 ! READ_STRING_1D reads string 1-D array data
 !===============================================================================
 
-  subroutine read_string_1D(group_id, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    character(*), intent(in)            :: name
-    character(*), intent(inout), target :: buffer(:)
-    logical,      intent(in), optional  :: indep ! independent I/O
+  subroutine read_string_1D(buffer, obj_id, name, indep)
+    character(*), target,   intent(inout) :: buffer(:)
+    integer(HID_T),         intent(in)    :: obj_id
+    character(*), optional, intent(in)    :: name
+    logical,      optional, intent(in)    :: indep ! independent I/O
 
+    integer          :: hdf5_err
+    integer(HID_T)   :: dset_id
     integer(HSIZE_T) :: dims(1)
 
-    dims(:) = shape(buffer)
-    if (present(indep)) then
-      call read_string_1D_explicit(group_id, dims, name, buffer, indep)
+    ! If 'name' argument is passed, obj_id is interpreted to be a group and
+    ! 'name' is the name of the dataset we should read from
+    if (present(name)) then
+      call h5dopen_f(obj_id, trim(name), dset_id, hdf5_err)
     else
-      call read_string_1D_explicit(group_id, dims, name, buffer)
+      dset_id = obj_id
+    end if
+
+    dims(:) = shape(buffer)
+
+    if (present(indep)) then
+      call read_string_1D_explicit(dset_id, dims, buffer, indep)
+    else
+      call read_string_1D_explicit(dset_id, dims, buffer)
     end if
   end subroutine read_string_1D
 
-  subroutine read_string_1D_explicit(group_id, dims, name, buffer, indep)
-    integer(HID_T), intent(in) :: group_id
-    integer(HSIZE_T), intent(in) :: dims(1)
-    character(*), intent(in)            :: name
-    character(*), intent(inout), target :: buffer(dims(1))
-    logical,      intent(in), optional  :: indep ! independent I/O
+  subroutine read_string_1D_explicit(dset_id, dims, buffer, indep)
+    integer(HID_T),       intent(in)    :: dset_id
+    integer(HSIZE_T),     intent(in)    :: dims(1)
+    character(*), target, intent(inout) :: buffer(dims(1))
+    logical, optional,    intent(in)    :: indep   ! independent I/O
 
     integer :: hdf5_err
     integer :: data_xfer_mode
 #ifdef PHDF5
     integer(HID_T) :: plist   ! property list
 #endif
-    integer(HID_T) :: dset    ! data set handle
-    integer(HID_T) :: dspace  ! data or file space handle
+    integer(HID_T) :: space_id
     integer(HID_T) :: filetype
     integer(HID_T) :: memtype
     integer(SIZE_T) :: size
@@ -1717,11 +1870,10 @@ contains
     end if
 
     ! Get dataset and dataspace
-    call h5dopen_f(group_id, trim(name), dset, hdf5_err)
-    call h5dget_space_f(dset, dspace, hdf5_err)
+    call h5dget_space_f(dset_id, space_id, hdf5_err)
 
     ! Make sure buffer is large enough
-    call h5dget_type_f(dset, filetype, hdf5_err)
+    call h5dget_type_f(dset_id, filetype, hdf5_err)
     call h5tget_size_f(filetype, size, hdf5_err)
     if (size > len(buffer(1)) + 1) then
       call fatal_error("Character buffer is not long enough to &
@@ -1736,20 +1888,19 @@ contains
     ! Get pointer to start of string
     f_ptr = c_loc(buffer(1)(1:1))
 
-    if (using_mpio_device(group_id)) then
+    if (using_mpio_device(dset_id)) then
 #ifdef PHDF5
       call h5pcreate_f(H5P_DATASET_XFER_F, plist, hdf5_err)
       call h5pset_dxpl_mpio_f(plist, data_xfer_mode, hdf5_err)
-      call h5dread_f(dset, memtype, f_ptr, hdf5_err, mem_space_id=dspace, &
+      call h5dread_f(dset_id, memtype, f_ptr, hdf5_err, mem_space_id=space_id, &
            xfer_prp=plist)
       call h5pclose_f(plist, hdf5_err)
 #endif
     else
-      call h5dread_f(dset, memtype, f_ptr, hdf5_err, mem_space_id=dspace)
+      call h5dread_f(dset_id, memtype, f_ptr, hdf5_err, mem_space_id=space_id)
     end if
 
-    call h5dclose_f(dset, hdf5_err)
-    call h5sclose_f(dspace, hdf5_err)
+    call h5sclose_f(space_id, hdf5_err)
     call h5tclose_f(filetype, hdf5_err)
     call h5tclose_f(memtype, hdf5_err)
   end subroutine read_string_1D_explicit
@@ -1893,12 +2044,260 @@ contains
     call h5dclose_f(dset, hdf5_err)
   end subroutine read_tally_result_2D_explicit
 
+  subroutine read_attribute_double(buffer, obj_id, name)
+    real(8),        intent(inout), target :: buffer
+    integer(HID_T), intent(in)            :: obj_id
+    character(*),   intent(in)            :: name
+
+    integer        :: hdf5_err
+    integer(HID_T) :: attr_id
+    type(c_ptr)    :: f_ptr
+
+    call h5aopen_f(obj_id, trim(name), attr_id, hdf5_err)
+    f_ptr = c_loc(buffer)
+    call h5aread_f(attr_id, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
+    call h5aclose_f(attr_id, hdf5_err)
+  end subroutine read_attribute_double
+
+  subroutine read_attribute_double_1D(buffer, obj_id, name)
+    real(8), target, allocatable, intent(inout) :: buffer(:)
+    integer(HID_T),  intent(in)    :: obj_id
+    character(*),    intent(in)    :: name
+
+    integer          :: hdf5_err
+    integer(HID_T)   :: space_id
+    integer(HID_T)   :: attr_id
+    integer(HSIZE_T) :: dims(1)
+    integer(HSIZE_T) :: maxdims(1)
+
+    call h5aopen_f(obj_id, trim(name), attr_id, hdf5_err)
+
+    if (allocated(buffer)) then
+      dims(:) = shape(buffer)
+    else
+      call h5aget_space_f(attr_id, space_id, hdf5_err)
+      call h5sget_simple_extent_dims_f(space_id, dims, maxdims, hdf5_err)
+      allocate(buffer(dims(1)))
+      call h5sclose_f(space_id, hdf5_err)
+    end if
+
+    call read_attribute_double_1D_explicit(attr_id, dims, buffer)
+    call h5aclose_f(attr_id, hdf5_err)
+  end subroutine read_attribute_double_1D
+
+  subroutine read_attribute_double_1D_explicit(attr_id, dims, buffer)
+    integer(HID_T),   intent(in)    :: attr_id
+    integer(HSIZE_T), intent(in)    :: dims(1)
+    real(8), target,  intent(inout) :: buffer(dims(1))
+
+    integer        :: hdf5_err
+    type(c_ptr)    :: f_ptr
+
+    f_ptr = c_loc(buffer)
+    call h5aread_f(attr_id, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
+  end subroutine read_attribute_double_1D_explicit
+
+  subroutine read_attribute_double_2D(buffer, obj_id, name)
+    real(8), target, allocatable, intent(inout) :: buffer(:,:)
+    integer(HID_T),  intent(in)    :: obj_id
+    character(*),    intent(in)    :: name
+
+    integer          :: hdf5_err
+    integer(HID_T)   :: space_id
+    integer(HID_T)   :: attr_id
+    integer(HSIZE_T) :: dims(2)
+    integer(HSIZE_T) :: maxdims(2)
+
+    call h5aopen_f(obj_id, trim(name), attr_id, hdf5_err)
+
+    if (allocated(buffer)) then
+      dims(:) = shape(buffer)
+    else
+      call h5aget_space_f(attr_id, space_id, hdf5_err)
+      call h5sget_simple_extent_dims_f(space_id, dims, maxdims, hdf5_err)
+      allocate(buffer(dims(1), dims(2)))
+      call h5sclose_f(space_id, hdf5_err)
+    end if
+
+    call read_attribute_double_2D_explicit(attr_id, dims, buffer)
+    call h5aclose_f(attr_id, hdf5_err)
+  end subroutine read_attribute_double_2D
+
+  subroutine read_attribute_double_2D_explicit(attr_id, dims, buffer)
+    integer(HID_T),   intent(in)    :: attr_id
+    integer(HSIZE_T), intent(in)    :: dims(2)
+    real(8), target,  intent(inout) :: buffer(dims(1),dims(2))
+
+    integer        :: hdf5_err
+    type(c_ptr)    :: f_ptr
+
+    f_ptr = c_loc(buffer)
+    call h5aread_f(attr_id, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
+  end subroutine read_attribute_double_2D_explicit
+
+  subroutine read_attribute_integer(buffer, obj_id, name)
+    integer,        intent(inout), target :: buffer
+    integer(HID_T), intent(in)            :: obj_id
+    character(*),   intent(in)            :: name
+
+    integer        :: hdf5_err
+    integer(HID_T) :: attr_id
+    type(c_ptr)    :: f_ptr
+
+    call h5aopen_f(obj_id, trim(name), attr_id, hdf5_err)
+    f_ptr = c_loc(buffer)
+    call h5aread_f(attr_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
+    call h5aclose_f(attr_id, hdf5_err)
+  end subroutine read_attribute_integer
+
+  subroutine read_attribute_integer_1D(buffer, obj_id, name)
+    integer, target, allocatable, intent(inout) :: buffer(:)
+    integer(HID_T),  intent(in)    :: obj_id
+    character(*),    intent(in)    :: name
+
+    integer          :: hdf5_err
+    integer(HID_T)   :: space_id
+    integer(HID_T)   :: attr_id
+    integer(HSIZE_T) :: dims(1)
+    integer(HSIZE_T) :: maxdims(1)
+
+    call h5aopen_f(obj_id, trim(name), attr_id, hdf5_err)
+
+    if (allocated(buffer)) then
+      dims(:) = shape(buffer)
+    else
+      call h5aget_space_f(attr_id, space_id, hdf5_err)
+      call h5sget_simple_extent_dims_f(space_id, dims, maxdims, hdf5_err)
+      allocate(buffer(dims(1)))
+      call h5sclose_f(space_id, hdf5_err)
+    end if
+
+    call read_attribute_integer_1D_explicit(attr_id, dims, buffer)
+    call h5aclose_f(attr_id, hdf5_err)
+  end subroutine read_attribute_integer_1D
+
+  subroutine read_attribute_integer_1D_explicit(attr_id, dims, buffer)
+    integer(HID_T),   intent(in)    :: attr_id
+    integer(HSIZE_T), intent(in)    :: dims(1)
+    integer, target,  intent(inout) :: buffer(dims(1))
+
+    integer        :: hdf5_err
+    type(c_ptr)    :: f_ptr
+
+    f_ptr = c_loc(buffer)
+    call h5aread_f(attr_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
+  end subroutine read_attribute_integer_1D_explicit
+
+  subroutine read_attribute_integer_2D(buffer, obj_id, name)
+    integer, target, allocatable, intent(inout) :: buffer(:,:)
+    integer(HID_T),  intent(in)    :: obj_id
+    character(*),    intent(in)    :: name
+
+    integer          :: hdf5_err
+    integer(HID_T)   :: space_id
+    integer(HID_T)   :: attr_id
+    integer(HSIZE_T) :: dims(2)
+    integer(HSIZE_T) :: maxdims(2)
+
+    call h5aopen_f(obj_id, trim(name), attr_id, hdf5_err)
+
+    if (allocated(buffer)) then
+      dims(:) = shape(buffer)
+    else
+      call h5aget_space_f(attr_id, space_id, hdf5_err)
+      call h5sget_simple_extent_dims_f(space_id, dims, maxdims, hdf5_err)
+      allocate(buffer(dims(1), dims(2)))
+      call h5sclose_f(space_id, hdf5_err)
+    end if
+
+    call read_attribute_integer_2D_explicit(attr_id, dims, buffer)
+    call h5aclose_f(attr_id, hdf5_err)
+  end subroutine read_attribute_integer_2D
+
+  subroutine read_attribute_integer_2D_explicit(attr_id, dims, buffer)
+    integer(HID_T),   intent(in)    :: attr_id
+    integer(HSIZE_T), intent(in)    :: dims(2)
+    integer, target,  intent(inout) :: buffer(dims(1),dims(2))
+
+    integer        :: hdf5_err
+    type(c_ptr)    :: f_ptr
+
+    f_ptr = c_loc(buffer)
+    call h5aread_f(attr_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
+  end subroutine read_attribute_integer_2D_explicit
+
+  subroutine read_attribute_string(buffer, obj_id, name)
+    character(*),   intent(inout), target :: buffer  ! read data to here
+    integer(HID_T), intent(in)            :: obj_id
+    character(*),   intent(in)            :: name    ! name for data
+
+    integer         :: hdf5_err
+    integer(HID_T)  :: attr_id ! data set handle
+    integer(HID_T)  :: filetype
+    integer(HID_T)  :: memtype
+    integer(SIZE_T) :: i
+    integer(SIZE_T) :: size
+    character(kind=C_CHAR), allocatable, target :: temp_buffer(:)
+    type(c_ptr)     :: f_ptr
+
+    ! Get dataset and dataspace
+    call h5aopen_f(obj_id, trim(name), attr_id, hdf5_err)
+
+    ! Make sure buffer is large enough
+    call h5aget_type_f(attr_id, filetype, hdf5_err)
+    call h5tget_size_f(filetype, size, hdf5_err)
+    allocate(temp_buffer(size))
+    if (size > len(buffer)) then
+      call fatal_error("Character buffer is not long enough to &
+           &read HDF5 string.")
+    end if
+
+    ! Get datatype in memory based on Fortran character
+    call h5tcopy_f(H5T_C_S1, memtype, hdf5_err)
+    call h5tset_size_f(memtype, size + 1, hdf5_err)
+
+    ! Get pointer to start of string
+    f_ptr = c_loc(temp_buffer(1))
+
+    call h5aread_f(attr_id, memtype, f_ptr, hdf5_err)
+    buffer = ''
+    do i = 1, size
+      buffer(i:i) = temp_buffer(i)
+    end do
+    deallocate(temp_buffer)
+
+    call h5aclose_f(attr_id, hdf5_err)
+    call h5tclose_f(filetype, hdf5_err)
+    call h5tclose_f(memtype, hdf5_err)
+  end subroutine read_attribute_string
+
+  subroutine get_shape(obj_id, dims)
+    integer(HID_T),   intent(in)  :: obj_id
+    integer(HSIZE_T), intent(out) :: dims(:)
+
+    integer          :: hdf5_err
+    integer          :: type
+    integer(HID_T)   :: space_id
+    integer(HSIZE_T) :: maxdims(size(dims))
+
+    call h5iget_type_f(obj_id, type, hdf5_err)
+    if (type == H5I_DATASET_F) then
+      call h5dget_space_f(obj_id, space_id, hdf5_err)
+      call h5sget_simple_extent_dims_f(space_id, dims, maxdims, hdf5_err)
+      call h5sclose_f(space_id, hdf5_err)
+    elseif (type == H5I_ATTR_F) then
+      call h5aget_space_f(obj_id, space_id, hdf5_err)
+      call h5sget_simple_extent_dims_f(space_id, dims, maxdims, hdf5_err)
+      call h5sclose_f(space_id, hdf5_err)
+    end if
+  end subroutine get_shape
+
   function using_mpio_device(obj_id) result(mpio)
     integer(HID_T), intent(in) :: obj_id
     logical :: mpio
 
     integer :: hdf5_err
-    integer :: driver
+    integer(HID_T) :: driver
     integer(HID_T) :: file_id
     integer(HID_T) :: fapl_id
 
@@ -1921,4 +2320,100 @@ contains
     mpio = (driver == H5FD_MPIO_F)
   end function using_mpio_device
 
+!===============================================================================
+! READ_COMPLEX_2D reads double precision complex 2-D array data as output by
+! the h5py HDF5 python module.
+!===============================================================================
+
+  subroutine read_complex_2D(buffer, obj_id, name, indep)
+    complex(8),   target,   intent(inout) :: buffer(:,:)
+    integer(HID_T),         intent(in)    :: obj_id
+    character(*), optional, intent(in)    :: name
+    logical,      optional, intent(in)    :: indep  ! independent I/O
+
+    integer          :: hdf5_err
+    integer(HID_T)   :: dset_id
+    integer(HSIZE_T) :: dims(2)
+
+    ! If 'name' argument is passed, obj_id is interpreted to be a group and
+    ! 'name' is the name of the dataset we should read from
+    if (present(name)) then
+      call h5dopen_f(obj_id, trim(name), dset_id, hdf5_err)
+    else
+      dset_id = obj_id
+    end if
+
+    dims(:) = shape(buffer)
+
+    if (present(indep)) then
+      call read_complex_2D_explicit(dset_id, dims, buffer, indep)
+    else
+      call read_complex_2D_explicit(dset_id, dims, buffer)
+    end if
+
+    if (present(name)) call h5dclose_f(dset_id, hdf5_err)
+  end subroutine read_complex_2D
+
+  subroutine read_complex_2D_explicit(dset_id, dims, buffer, indep)
+    integer(HID_T),     intent(in)    :: dset_id
+    integer(HSIZE_T),   intent(in)    :: dims(2)
+    complex(8), target, intent(inout) :: buffer(dims(1), dims(2))
+    logical, optional, intent(in)     :: indep   ! independent I/O
+
+    real(8), target :: buffer_r(dims(1), dims(2))
+    real(8), target :: buffer_i(dims(1), dims(2))
+
+    integer(HSIZE_T) :: i, j
+
+    integer :: hdf5_err
+    integer :: data_xfer_mode
+#ifdef PHDF5
+    integer(HID_T) :: plist   ! property list
+#endif
+    type(c_ptr) :: f_ptr_r, f_ptr_i
+
+    ! Components needed for complex type support
+    integer(HID_T)   :: dtype_real
+    integer(HID_T)   :: dtype_imag
+    integer(SIZE_T)  :: size_double
+
+    ! Create the complex type
+    call h5tget_size_f(H5T_NATIVE_DOUBLE, size_double, hdf5_err)
+
+    ! Insert the 'r' and 'i' identifiers
+    call h5tcreate_f(H5T_COMPOUND_F, size_double, dtype_real, hdf5_err)
+    call h5tcreate_f(H5T_COMPOUND_F, size_double, dtype_imag, hdf5_err)
+    call h5tinsert_f(dtype_real, "r", 0_SIZE_T, H5T_NATIVE_DOUBLE, hdf5_err)
+    call h5tinsert_f(dtype_imag, "i", 0_SIZE_T, H5T_NATIVE_DOUBLE, hdf5_err)
+
+    ! Set up collective vs. independent I/O
+    data_xfer_mode = H5FD_MPIO_COLLECTIVE_F
+    if (present(indep)) then
+      if (indep) data_xfer_mode = H5FD_MPIO_INDEPENDENT_F
+    end if
+
+    f_ptr_r = c_loc(buffer_r)
+    f_ptr_i = c_loc(buffer_i)
+
+    if (using_mpio_device(dset_id)) then
+#ifdef PHDF5
+      call h5pcreate_f(H5P_DATASET_XFER_F, plist, hdf5_err)
+      call h5pset_dxpl_mpio_f(plist, data_xfer_mode, hdf5_err)
+      call h5dread_f(dset_id, dtype_real, f_ptr_r, hdf5_err, xfer_prp=plist)
+      call h5dread_f(dset_id, dtype_imag, f_ptr_i, hdf5_err, xfer_prp=plist)
+      call h5pclose_f(plist, hdf5_err)
+#endif
+    else
+      call h5dread_f(dset_id, dtype_real, f_ptr_r, hdf5_err)
+      call h5dread_f(dset_id, dtype_imag, f_ptr_i, hdf5_err)
+    end if
+
+    ! Reconstitute the complex numbers
+    do i = 1, dims(1)
+      do j = 1, dims(2)
+        buffer(i, j) = cmplx(buffer_r(i,j), buffer_i(i,j), kind=8)
+      end do
+    end do
+  end subroutine read_complex_2D_explicit
+
 end module hdf5_interface
diff --git a/src/initialize.F90 b/src/initialize.F90
index 9d63eb4e93..48b3ee61a9 100644
--- a/src/initialize.F90
+++ b/src/initialize.F90
@@ -1,30 +1,31 @@
 module initialize
 
-  use ace,              only: read_xs, same_nuclide_list
-  use bank_header,      only: Bank
+  use ace,             only: read_ace_xs
+  use bank_header,     only: Bank
   use constants
-  use dict_header,      only: DictIntInt, ElemKeyValueII
-  use set_header,       only: SetInt
-  use energy_grid,      only: logarithmic_grid, grid_method, unionized_grid
-  use error,            only: fatal_error, warning
-  use geometry,         only: neighbor_lists, count_instance, calc_offsets,    &
-                              maximum_levels
-  use geometry_header,  only: Cell, Universe, Lattice, RectLattice, HexLattice,&
-                              &BASE_UNIVERSE
+  use dict_header,     only: DictIntInt, ElemKeyValueII
+  use set_header,      only: SetInt
+  use energy_grid,     only: logarithmic_grid, grid_method, unionized_grid
+  use error,           only: fatal_error, warning
+  use geometry,        only: neighbor_lists, count_instance, calc_offsets,    &
+                             maximum_levels
+  use geometry_header, only: Cell, Universe, Lattice, RectLattice, HexLattice,&
+                             &BASE_UNIVERSE
   use global
-  use hdf5_interface,   only: file_open, read_dataset, file_close, hdf5_bank_t,&
-                              hdf5_tallyresult_t, hdf5_integer8_t
-  use input_xml,        only: read_input_xml, read_cross_sections_xml,         &
-                              cells_in_univ_dict, read_plots_xml
-  use material_header,  only: Material
-  use output,           only: title, header, print_version, write_message,     &
-                              print_usage, write_xs_summary, print_plot
-  use random_lcg,       only: initialize_prng
-  use state_point,      only: load_state_point
-  use string,           only: to_str, str_to_int, starts_with, ends_with
-  use summary,          only: write_summary
-  use tally_header,     only: TallyObject, TallyResult, TallyFilter
-  use tally_initialize, only: configure_tallies
+  use hdf5_interface,  only: file_open, read_dataset, file_close, hdf5_bank_t,&
+                             hdf5_tallyresult_t, hdf5_integer8_t
+  use input_xml,       only: read_input_xml, cells_in_univ_dict, read_plots_xml
+  use material_header, only: Material
+  use mgxs_data,       only: read_mgxs, create_macro_xs
+  use output,          only: title, header, print_version, write_message,     &
+                             print_usage, write_xs_summary, print_plot
+  use random_lcg,      only: initialize_prng
+  use state_point,     only: load_state_point
+  use string,          only: to_str, starts_with, ends_with, str_to_int
+  use summary,         only: write_summary
+  use tally_header,    only: TallyObject, TallyResult, TallyFilter
+  use tally_initialize,only: configure_tallies
+  use tally,           only: init_tally_routines
 
 #ifdef MPI
   use message_passing
@@ -114,27 +115,40 @@ contains
 
       ! Read ACE-format cross sections
       call time_read_xs%start()
-      call read_xs()
+      if (run_CE) then
+        call read_ace_xs()
+      else
+        call read_mgxs()
+      end if
       call time_read_xs%stop()
 
-      ! Create linked lists for multiple instances of the same nuclide
-      call same_nuclide_list()
+      ! Construct information needed for nuclear data
+      if (run_CE) then
+        ! Set undefined cell temperatures to match the material data.
+        call lookup_material_temperatures()
 
-      ! Construct unionized or log energy grid for cross-sections
-      select case (grid_method)
-      case (GRID_NUCLIDE)
-        continue
-      case (GRID_MAT_UNION)
-        call time_unionize%start()
-        call unionized_grid()
-        call time_unionize%stop()
-      case (GRID_LOGARITHM)
-        call logarithmic_grid()
-      end select
+        ! Construct unionized or log energy grid for cross-sections
+        select case (grid_method)
+        case (GRID_NUCLIDE)
+          continue
+        case (GRID_MAT_UNION)
+          call time_unionize%start()
+          call unionized_grid()
+          call time_unionize%stop()
+        case (GRID_LOGARITHM)
+          call logarithmic_grid()
+        end select
+      else
+        ! Create material macroscopic data for MGXS
+        call create_macro_xs()
+      end if
 
       ! Allocate and setup tally stride, matching_bins, and tally maps
       call configure_tallies()
 
+      ! Set up tally procedure pointers
+      call init_tally_routines()
+
       ! Determine how much work each processor should do
       call calculate_work()
 
@@ -364,7 +378,7 @@ contains
 
           ! Check what type of file this is
           file_id = file_open(argv(i), 'r', parallel=.true.)
-          call read_dataset(file_id, 'filetype', filetype)
+          call read_dataset(filetype, file_id, 'filetype')
           call file_close(file_id)
 
           ! Set path and flag for type of run
@@ -390,7 +404,7 @@ contains
 
               ! Check file type is a source file
               file_id = file_open(argv(i), 'r', parallel=.true.)
-              call read_dataset(file_id, 'filetype', filetype)
+              call read_dataset(filetype, file_id, 'filetype')
               call file_close(file_id)
               if (filetype /= 'source') then
                 call fatal_error("Second file after restart flag must be a &
@@ -614,31 +628,33 @@ contains
       ! =======================================================================
       ! ADJUST MATERIAL/FILL POINTERS FOR EACH CELL
 
-      id = c%material
-      if (id == MATERIAL_VOID) then
-        c%type = CELL_NORMAL
-      elseif (id /= 0) then
-        if (material_dict%has_key(id)) then
-          c%type = CELL_NORMAL
-          c%material = material_dict%get_key(id)
-        else
-          call fatal_error("Could not find material " // trim(to_str(id)) &
-               &// " specified on cell " // trim(to_str(c%id)))
-        end if
-      else
-        id = c%fill
-        if (universe_dict%has_key(id)) then
-          c%type = CELL_FILL
-          c%fill = universe_dict%get_key(id)
-        elseif (lattice_dict%has_key(id)) then
-          lid = lattice_dict%get_key(id)
-          c%type = CELL_LATTICE
-          c%fill = lid
+      if (c % material(1) == NONE) then
+        id = c % fill
+        if (universe_dict % has_key(id)) then
+          c % type = CELL_FILL
+          c % fill = universe_dict % get_key(id)
+        elseif (lattice_dict % has_key(id)) then
+          lid = lattice_dict % get_key(id)
+          c % type = CELL_LATTICE
+          c % fill = lid
         else
           call fatal_error("Specified fill " // trim(to_str(id)) // " on cell "&
-               &// trim(to_str(c%id)) // " is neither a universe nor a &
+               // trim(to_str(c % id)) // " is neither a universe nor a &
                &lattice.")
         end if
+      else
+        do j = 1, size(c % material)
+          id = c % material(j)
+          if (id == MATERIAL_VOID) then
+            c % type = CELL_NORMAL
+          else if (material_dict % has_key(id)) then
+            c % type = CELL_NORMAL
+            c % material(j) = material_dict % get_key(id)
+          else
+            call fatal_error("Could not find material " // trim(to_str(id)) &
+                 // " specified on cell " // trim(to_str(c % id)))
+          end if
+        end do
       end if
     end do
 
@@ -943,86 +959,92 @@ contains
 
   subroutine prepare_distribcell()
 
-    integer :: i, j       ! Tally, filter loop counters
-    integer :: n_filt     ! Number of filters originally in tally
-    logical :: count_all  ! Count all cells
-    type(TallyObject),    pointer :: t                ! Current tally
-    type(Universe),       pointer :: univ             ! Pointer to universe
-    type(Cell),           pointer :: c                ! Pointer to cell
+    integer :: i, j                ! Tally, filter loop counters
+    logical :: distribcell_active  ! Does simulation use distribcell?
     integer, allocatable :: univ_list(:)              ! Target offsets
     integer, allocatable :: counts(:,:)               ! Target count
     logical, allocatable :: found(:,:)                ! Target found
 
-    count_all = .false.
+    ! Assume distribcell is not needed until proven otherwise.
+    distribcell_active = .false.
 
-    ! Loop over tallies
+    ! We need distribcell if any tallies have distribcell filters.
     do i = 1, n_tallies
-
-      ! Get pointer to tally
-      t => tallies(i)
-
-      n_filt = t%n_filters
-
-      ! Loop over the filters to determine how many additional filters
-      ! need to be added to this tally
-      do j = 1, t%n_filters
-
-        ! Determine type of filter
-        if (t%filters(j)%type == FILTER_DISTRIBCELL) then
-          count_all = .true.
-          if (size(t%filters(j)%int_bins) > 1) then
+      do j = 1, tallies(i) % n_filters
+        if (tallies(i) % filters(j) % type == FILTER_DISTRIBCELL) then
+          distribcell_active = .true.
+          if (size(tallies(i) % filters(j) % int_bins) > 1) then
             call fatal_error("A distribcell filter was specified with &
                              &multiple bins. This feature is not supported.")
           end if
         end if
-
       end do
-
     end do
 
-    if (count_all) then
-
-      univ => universes(BASE_UNIVERSE)
-
-      ! sum the number of occurrences of all cells
-      call count_instance(univ)
-
-      ! Loop over tallies
-      do i = 1, n_tallies
-
-        ! Get pointer to tally
-        t => tallies(i)
-
-        ! Initialize the filters
-        do j = 1, t%n_filters
-
-          ! Set the number of bins to the number of instances of the cell
-          if (t%filters(j)%type == FILTER_DISTRIBCELL) then
-            c => cells(t%filters(j)%int_bins(1))
-            t%filters(j)%n_bins = c%instances
-          end if
-
-        end do
+    ! We also need distribcell if any distributed materials or distributed
+    ! temperatues are present.
+    if (.not. distribcell_active) then
+      do i = 1, n_cells
+        if (size(cells(i) % material) > 1 .or. size(cells(i) % sqrtkT) > 1) then
+          distribcell_active = .true.
+          exit
+        end if
       end do
-
     end if
 
+    ! If distribcell isn't used in this simulation then no more work left to do.
+    if (.not. distribcell_active) return
+
+    ! Count the number of instances of each cell.
+    call count_instance(universes(BASE_UNIVERSE))
+
+    ! Set the number of bins in all distribcell filters.
+    do i = 1, n_tallies
+      do j = 1, tallies(i) % n_filters
+        associate (filt => tallies(i) % filters(j))
+          if (filt % type == FILTER_DISTRIBCELL) then
+            ! Set the number of bins to the number of instances of the cell.
+            filt % n_bins = cells(filt % int_bins(1)) % instances
+          end if
+        end associate
+      end do
+    end do
+
+    ! Make sure the number of materials and temperatures matches the number of
+    ! cell instances.
+    do i = 1, n_cells
+      associate (c => cells(i))
+        if (size(c % material) > 1) then
+          if (size(c % material) /= c % instances) then
+            call fatal_error("Cell " // trim(to_str(c % id)) // " was &
+                 &specified with " // trim(to_str(size(c % material))) &
+                 // " materials but has " // trim(to_str(c % instances)) &
+                 // " distributed instances. The number of materials must &
+                 &equal one or the number of instances.")
+          end if
+        end if
+        if (size(c % sqrtkT) > 1) then
+          if (size(c % sqrtkT) /= c % instances) then
+            call fatal_error("Cell " // trim(to_str(c % id)) // " was &
+                 &specified with " // trim(to_str(size(c % sqrtkT))) &
+                 // " temperatures but has " // trim(to_str(c % instances)) &
+                 // " distributed instances. The number of temperatures must &
+                 &equal one or the number of instances.")
+          end if
+        end if
+      end associate
+    end do
+
     ! Allocate offset maps at each level in the geometry
     call allocate_offsets(univ_list, counts, found)
 
     ! Calculate offsets for each target distribcell
     do i = 1, n_maps
       do j = 1, n_universes
-        univ => universes(j)
-        call calc_offsets(univ_list(i), i, univ, counts, found)
+        call calc_offsets(univ_list(i), i, universes(j), counts, found)
       end do
     end do
 
-    ! Deallocate temporary target variable arrays
-    deallocate(counts)
-    deallocate(found)
-    deallocate(univ_list)
-
   end subroutine prepare_distribcell
 
 !===============================================================================
@@ -1036,38 +1058,33 @@ contains
     integer, intent(out), allocatable     :: counts(:,:)  ! Target count
     logical, intent(out), allocatable     :: found(:,:)   ! Target found
 
-    integer :: i, j, k, l, m                    ! Loop counters
-    type(SetInt)               :: cell_list     ! distribells to track
-    type(Universe),    pointer :: univ          ! pointer to universe
-    class(Lattice),    pointer :: lat           ! pointer to lattice
-    type(TallyObject), pointer :: t             ! pointer to tally
-    type(TallyFilter), pointer :: filter        ! pointer to filter
+    integer      :: i, j, k   ! Loop counters
+    type(SetInt) :: cell_list ! distribells to track
 
     ! Begin gathering list of cells in distribcell tallies
     n_maps = 0
 
-    ! Populate list of distribcells to track
+    ! List all cells referenced in distribcell filters.
     do i = 1, n_tallies
-      t => tallies(i)
-
-      do j = 1, t%n_filters
-        filter => t%filters(j)
-
-        if (filter%type == FILTER_DISTRIBCELL) then
-          if (.not. cell_list%contains(filter%int_bins(1))) then
-            call cell_list%add(filter%int_bins(1))
-          end if
+      do j = 1, tallies(i) % n_filters
+        if (tallies(i) % filters(j) % type == FILTER_DISTRIBCELL) then
+          call cell_list % add(tallies(i) % filters(j) % int_bins(1))
         end if
-
       end do
     end do
 
+    ! List all cells with multiple (distributed) materials or temperatures.
+    do i = 1, n_cells
+      if (size(cells(i) % material) > 1 .or. size(cells(i) % sqrtkT) > 1) then
+        call cell_list % add(i)
+      end if
+    end do
+
     ! Compute the number of unique universes containing these distribcells
     ! to determine the number of offset tables to allocate
     do i = 1, n_universes
-      univ => universes(i)
-      do j = 1, univ%n_cells
-        if (cell_list%contains(univ%cells(j))) then
+      do j = 1, universes(i) % n_cells
+        if (cell_list % contains(universes(i) % cells(j))) then
           n_maps = n_maps + 1
         end if
       end do
@@ -1076,42 +1093,23 @@ contains
     ! Allocate the list of offset tables for each unique universe
     allocate(univ_list(n_maps))
 
-    ! Allocate list to accumulate target distribccell counts in each universe
+    ! Allocate list to accumulate target distribcell counts in each universe
     allocate(counts(n_universes, n_maps))
+    counts(:,:) = 0
 
     ! Allocate list to track if target distribcells are found in each universe
     allocate(found(n_universes, n_maps))
-
-    counts(:,:) = 0
     found(:,:) = .false.
+
+
+    ! Search through universes for distributed cells and assign each one a
+    ! unique distribcell array index.
     k = 1
-
     do i = 1, n_universes
-      univ => universes(i)
-
-      do j = 1, univ%n_cells
-
-        if (cell_list%contains(univ%cells(j))) then
-
-            ! Loop over all tallies
-            do l = 1, n_tallies
-              t => tallies(l)
-
-              do m = 1, t%n_filters
-                filter => t%filters(m)
-
-                ! Loop over only distribcell filters
-                ! If filter points to cell we just found, set offset index
-                if (filter%type == FILTER_DISTRIBCELL) then
-                  if (filter%int_bins(1) == univ%cells(j)) then
-                    filter%offset = k
-                  end if
-                end if
-
-              end do
-            end do
-
-          univ_list(k) = univ%id
+      do j = 1, universes(i) % n_cells
+        if (cell_list % contains(universes(i) % cells(j))) then
+          cells(universes(i) % cells(j)) % distribcell_index = k
+          univ_list(k) = universes(i) % id
           k = k + 1
         end if
       end do
@@ -1119,29 +1117,84 @@ contains
 
     ! Allocate the offset tables for lattices
     do i = 1, n_lattices
-      lat => lattices(i)%obj
+      associate(lat => lattices(i) % obj)
+        select type(lat)
 
-      select type(lat)
-
-      type is (RectLattice)
-        allocate(lat%offset(n_maps, lat%n_cells(1), lat%n_cells(2), &
-                 lat%n_cells(3)))
-      type is (HexLattice)
-        allocate(lat%offset(n_maps, 2 * lat%n_rings - 1, &
-             2 * lat%n_rings - 1, lat%n_axial))
-      end select
-
-      lat%offset(:, :, :, :) = 0
+        type is (RectLattice)
+          allocate(lat % offset(n_maps, lat % n_cells(1), lat % n_cells(2), &
+                   lat % n_cells(3)))
+        type is (HexLattice)
+          allocate(lat % offset(n_maps, 2 * lat % n_rings - 1, &
+               2 * lat % n_rings - 1, lat % n_axial))
+        end select
 
+        lat % offset(:, :, :, :) = 0
+      end associate
     end do
 
     ! Allocate offset table for fill cells
     do i = 1, n_cells
-      if (cells(i)%material == NONE) then
-        allocate(cells(i)%offset(n_maps))
+      if (cells(i) % type /= CELL_NORMAL) then
+        allocate(cells(i) % offset(n_maps))
       end if
     end do
 
+    ! Free up memory
+    call cell_list % clear()
+
   end subroutine allocate_offsets
 
+!===============================================================================
+! LOOKUP_MATERIAL_TEMPERATURES If any cells have undefined temperatures, try to
+! find their temperatures from material data.
+!===============================================================================
+
+  subroutine lookup_material_temperatures()
+    integer :: i, j, k
+    real(8) :: min_temp
+    logical :: warning_given
+
+    warning_given = .false.
+    do i = 1, n_cells
+      ! Ignore non-normal cells and cells with defined temperature.
+      if (cells(i) % type /= CELL_NORMAL) cycle
+      if (cells(i) % sqrtkT(1) /= ERROR_REAL) cycle
+
+      ! Set the number of temperatures equal to the number of materials.
+      deallocate(cells(i) % sqrtkT)
+      allocate(cells(i) % sqrtkT(size(cells(i) % material)))
+
+      ! Check each of the cell materials for temperature data.
+      do j = 1, size(cells(i) % material)
+        ! Arbitrarily set void regions to 0K.
+        if (cells(i) % material(j) == MATERIAL_VOID) then
+          cells(i) % sqrtkT(j) = ZERO
+          cycle
+        end if
+
+        associate (mat => materials(cells(i) % material(j)))
+          ! Find the temperature of the coldest nuclide.
+          min_temp = nuclides(mat % nuclide(1)) % kT
+          do k = 2, mat % n_nuclides
+            ! Warn the user if the nuclides don't have identical temperatues.
+            if (nuclides(mat % nuclide(k)) % kT /= min_temp &
+                 .and. .not. warning_given .and. multipole_active) then
+              call warning("OpenMC cannot &
+                   &identify the temperature of at least one cell. For the &
+                   &purposes of multipole cross section evaluations, all cells &
+                   &with unknown temperature will be set to the coldest &
+                   &temperature found in the nuclear data for that cell's &
+                   &material")
+              warning_given = .true.
+            end if
+            min_temp = min(min_temp, nuclides(mat % nuclide(k)) % kT)
+          end do
+
+          ! Set the temperature for this cell instance.
+          cells(i) % sqrtkT(j) = sqrt(min_temp)
+        end associate
+      end do
+    end do
+  end subroutine lookup_material_temperatures
+
 end module initialize
diff --git a/src/input_xml.F90 b/src/input_xml.F90
index 5449b169dd..3c6143e5a0 100644
--- a/src/input_xml.F90
+++ b/src/input_xml.F90
@@ -3,6 +3,9 @@ module input_xml
   use cmfd_input,       only: configure_cmfd
   use constants
   use dict_header,      only: DictIntInt, ElemKeyValueCI
+  use distribution_multivariate
+  use distribution_univariate
+  use endf,             only: reaction_name
   use energy_grid,      only: grid_method, n_log_bins
   use error,            only: fatal_error, warning
   use geometry_header,  only: Cell, Lattice, RectLattice, HexLattice
@@ -11,11 +14,11 @@ module input_xml
   use mesh_header,      only: RegularMesh
   use output,           only: write_message
   use plot_header
-  use random_lcg,       only: prn
+  use random_lcg,       only: prn, seed
   use surface_header
   use stl_vector,       only: VectorInt
-  use string,           only: to_lower, to_str, str_to_int, str_to_real, &
-                              starts_with, ends_with, tokenize
+  use string,           only: str_to_int, str_to_real, tokenize, &
+                              to_lower, to_str, starts_with, ends_with
   use tally_header,     only: TallyObject, TallyFilter
   use tally_initialize, only: add_tallies
   use xml_interface
@@ -36,7 +39,13 @@ contains
   subroutine read_input_xml()
 
     call read_settings_xml()
-    if (run_mode /= MODE_PLOTTING) call read_cross_sections_xml()
+    if (run_mode /= MODE_PLOTTING) then
+      if (run_CE) then
+        call read_ce_cross_sections_xml()
+      else
+        call read_mg_cross_sections_xml()
+      end if
+    end if
     call read_geometry_xml()
     call read_materials_xml()
     call read_tallies_xml()
@@ -54,11 +63,11 @@ contains
     character(MAX_LINE_LEN) :: temp_str
     integer :: i
     integer :: n
-    integer :: coeffs_reqd
     integer :: temp_int
     integer :: temp_int_array3(3)
     integer, allocatable :: temp_int_array(:)
     integer(8) :: temp_long
+    real(8), allocatable :: temp_real(:)
     integer :: n_tracks
     logical :: file_exists
     character(MAX_FILE_LEN) :: env_variable
@@ -67,6 +76,8 @@ contains
     type(Node), pointer :: doc            => null()
     type(Node), pointer :: node_mode      => null()
     type(Node), pointer :: node_source    => null()
+    type(Node), pointer :: node_space     => null()
+    type(Node), pointer :: node_angle     => null()
     type(Node), pointer :: node_dist      => null()
     type(Node), pointer :: node_cutoff    => null()
     type(Node), pointer :: node_entropy   => null()
@@ -79,24 +90,40 @@ contains
     type(Node), pointer :: node_trigger   => null()
     type(Node), pointer :: node_keff_trigger => null()
     type(NodeList), pointer :: node_scat_list => null()
-
-    ! Display output message
-    call write_message("Reading settings XML file...", 5)
+    type(NodeList), pointer :: node_source_list => null()
 
     ! Check if settings.xml exists
     filename = trim(path_input) // "settings.xml"
     inquire(FILE=filename, EXIST=file_exists)
     if (.not. file_exists) then
-      call fatal_error("Settings XML file '" // trim(filename) // "' does not &
-           &exist! In order to run OpenMC, you first need a set of input files;&
-           & at a minimum, this includes settings.xml, geometry.xml, and &
-           &materials.xml. Please consult the user's guide at &
-           &http://mit-crpg.github.io/openmc for further information.")
+      if (run_mode /= MODE_PLOTTING) then
+        call fatal_error("Settings XML file '" // trim(filename) // "' does &
+             &not exist! In order to run OpenMC, you first need a set of input &
+             &files; at a minimum, this includes settings.xml, geometry.xml, &
+             &and materials.xml. Please consult the user's guide at &
+             &http://mit-crpg.github.io/openmc for further information.")
+      else
+        ! The settings.xml file is optional if we just want to make a plot.
+        return
+      end if
+    else
+      call write_message("Reading settings XML file...", 5)
     end if
 
     ! Parse settings.xml file
     call open_xmldoc(doc, filename)
 
+    ! Find if a multi-group or continuous-energy simulation is desired
+    if (check_for_node(doc, "energy_mode")) then
+      call get_node_value(doc, "energy_mode", temp_str)
+      temp_str = trim(to_lower(temp_str))
+      if (temp_str == "mg" .or. temp_str == "multi-group") then
+        run_CE = .false.
+      else if (temp_str == "ce" .or. temp_str == "continuous-energy") then
+        run_CE = .true.
+      end if
+    end if
+
     ! Find cross_sections.xml file -- the first place to look is the
     ! settings.xml file. If no file is found there, then we check the
     ! CROSS_SECTIONS environment variable
@@ -105,22 +132,73 @@ contains
            run_mode /= MODE_PLOTTING) then
         ! No cross_sections.xml file specified in settings.xml, check
         ! environment variable
-        call get_environment_variable("CROSS_SECTIONS", env_variable)
-        if (len_trim(env_variable) == 0) then
-          call fatal_error("No cross_sections.xml file was specified in &
-               &settings.xml or in the CROSS_SECTIONS environment variable. &
-               &OpenMC needs a cross_sections.xml file to identify where to &
-               &find ACE cross section libraries. Please consult the user's &
-               &guide at http://mit-crpg.github.io/openmc for information on &
-               &how to set up ACE cross section libraries.")
-        else
+        if (run_CE) then
+          call get_environment_variable("OPENMC_CROSS_SECTIONS", env_variable)
+          if (len_trim(env_variable) == 0) then
+            call get_environment_variable("CROSS_SECTIONS", env_variable)
+            if (len_trim(env_variable) == 0) then
+              call fatal_error("No cross_sections.xml file was specified in &
+                   &settings.xml or in the OPENMC_CROSS_SECTIONS environment &
+                   &variable. OpenMC needs such a file to identify where to &
+                   &find ACE cross section libraries. Please consult the &
+                   &user's guide at http://mit-crpg.github.io/openmc for &
+                   &information on how to set up ACE cross section libraries.")
+            else
+              call warning("The CROSS_SECTIONS environment variable is &
+                   &deprecated. Please update your environment to use &
+                   &OPENMC_CROSS_SECTIONS instead.")
+            end if
+          end if
           path_cross_sections = trim(env_variable)
+        else
+          call get_environment_variable("OPENMC_MG_CROSS_SECTIONS", &
+                                        env_variable)
+          if (len_trim(env_variable) == 0) then
+            call fatal_error("No mgxs.xml file was specified in &
+                 &settings.xml or in the OPENMC_MG_CROSS_SECTIONS environment &
+                 &variable. OpenMC needs such a file to identify where to &
+                 &find the cross section libraries. Please consult the user's &
+                 &guide at http://mit-crpg.github.io/openmc for information on &
+                 &how to set up the cross section libraries.")
+          else
+            path_cross_sections = trim(env_variable)
+          end if
         end if
       else
         call get_node_value(doc, "cross_sections", path_cross_sections)
       end if
     end if
 
+    ! Find the windowed multipole library
+    if (run_mode /= MODE_PLOTTING) then
+      if (.not. check_for_node(doc, "multipole_library")) then
+        ! No library location specified in settings.xml, check
+        ! environment variable
+        call get_environment_variable("OPENMC_MULTIPOLE_LIBRARY", env_variable)
+        path_multipole = trim(env_variable)
+      else
+        call get_node_value(doc, "multipole_library", path_multipole)
+      end if
+      if (.not. ends_with(path_multipole, "/")) &
+           path_multipole = trim(path_multipole) // "/"
+    end if
+
+    if (.not. run_CE) then
+      ! Scattering Treatments
+      if (check_for_node(doc, "max_order")) then
+        call get_node_value(doc, "max_order", max_order)
+      else
+        ! Set to default of largest int - 1, which means to use whatever is
+        ! contained in library.
+        ! This is largest int - 1 because for legendre scattering, a value of
+        ! 1 is added to the order; adding 1 to huge(0) gets you the largest
+        ! negative integer, which is not what we want.
+        max_order = huge(0) - 1
+      end if
+    else
+      max_order = 0
+    end if
+
     ! Set output directory if a path has been specified on the <output_path>
     ! element
     if (check_for_node(doc, "output_path")) then
@@ -167,8 +245,8 @@ contains
     end if
 
     ! Make sure that either eigenvalue or fixed source was specified
-    if (.not.check_for_node(doc, "eigenvalue") .and. &
-         .not.check_for_node(doc, "fixed_source")) then
+    if (.not. check_for_node(doc, "eigenvalue") .and. &
+         .not. check_for_node(doc, "fixed_source")) then
       call fatal_error("<eigenvalue> or <fixed_source> not specified.")
     end if
 
@@ -181,7 +259,7 @@ contains
       call get_node_ptr(doc, "eigenvalue", node_mode)
 
       ! Check number of particles
-      if (.not.check_for_node(node_mode, "particles")) then
+      if (.not. check_for_node(node_mode, "particles")) then
         call fatal_error("Need to specify number of particles per generation.")
       end if
 
@@ -251,7 +329,7 @@ contains
       call get_node_ptr(doc, "fixed_source", node_mode)
 
       ! Check number of particles
-      if (.not.check_for_node(node_mode, "particles")) then
+      if (.not. check_for_node(node_mode, "particles")) then
         call fatal_error("Need to specify number of particles per batch.")
       end if
 
@@ -339,185 +417,249 @@ contains
     ! ==========================================================================
     ! EXTERNAL SOURCE
 
-    ! Get pointer to source
-    if (check_for_node(doc, "source")) then
-      call get_node_ptr(doc, "source", node_source)
-    else
-      call fatal_error("No source specified in settings XML file.")
-    end if
+    ! Get point to list of <source> elements and make sure there is at least one
+    call get_node_list(doc, "source", node_source_list)
+    n = get_list_size(node_source_list)
+    if (n == 0) call fatal_error("No source specified in settings XML file.")
 
-    ! Check if we want to write out source
-    if (check_for_node(node_source, "write_initial")) then
-      call get_node_value(node_source, "write_initial", temp_str)
-      temp_str = to_lower(temp_str)
-      if (trim(temp_str) == 'true' .or. trim(temp_str) == '1') &
-           write_initial_source = .true.
-    end if
+    ! Allocate array for sources
+    allocate(external_source(n))
 
-    ! Check for external source file
-    if (check_for_node(node_source, "file")) then
-      ! Copy path of source file
-      call get_node_value(node_source, "file", path_source)
+    ! Read each source
+    do i = 1, n
+      ! Get pointer to source
+      call get_list_item(node_source_list, i, node_source)
 
-      ! Check if source file exists
-      inquire(FILE=path_source, EXIST=file_exists)
-      if (.not. file_exists) then
-        call fatal_error("Binary source file '" // trim(path_source) &
-             &// "' does not exist!")
+      ! Check if we want to write out source
+      if (check_for_node(node_source, "write_initial")) then
+        call get_node_value(node_source, "write_initial", temp_str)
+        temp_str = to_lower(temp_str)
+        if (trim(temp_str) == 'true' .or. trim(temp_str) == '1') &
+             write_initial_source = .true.
       end if
 
-    else
-
-      ! Spatial distribution for external source
-      if (check_for_node(node_source, "space")) then
-
-        ! Get pointer to spatial distribution
-        call get_node_ptr(node_source, "space", node_dist)
-
-        ! Check for type of spatial distribution
-        type = ''
-        if (check_for_node(node_dist, "type")) &
-             call get_node_value(node_dist, "type", type)
-        select case (to_lower(type))
-        case ('box')
-          external_source % type_space = SRC_SPACE_BOX
-          coeffs_reqd = 6
-        case ('fission')
-          external_source % type_space = SRC_SPACE_FISSION
-          coeffs_reqd = 6
-        case ('point')
-          external_source % type_space = SRC_SPACE_POINT
-          coeffs_reqd = 3
-        case default
-          call fatal_error("Invalid spatial distribution for external source: "&
-               &// trim(type))
-        end select
-
-        ! Determine number of parameters specified
-        if (check_for_node(node_dist, "parameters")) then
-          n = get_arraysize_double(node_dist, "parameters")
-        else
-          n = 0
-        end if
-
-        ! Read parameters for spatial distribution
-        if (n < coeffs_reqd) then
-          call fatal_error("Not enough parameters specified for spatial &
-               &distribution of external source.")
-        elseif (n > coeffs_reqd) then
-          call fatal_error("Too many parameters specified for spatial &
-               &distribution of external source.")
-        elseif (n > 0) then
-          allocate(external_source % params_space(n))
-          call get_node_array(node_dist, "parameters", &
-               external_source % params_space)
-        end if
+      ! Check for source strength
+      if (check_for_node(node_source, "strength")) then
+        call get_node_value(node_source, "strength", external_source(i)%strength)
       else
-        call fatal_error("No spatial distribution specified for external &
-             &source.")
+        external_source(i)%strength = ONE
       end if
 
-      ! Determine external source angular distribution
-      if (check_for_node(node_source, "angle")) then
+      ! Check for external source file
+      if (check_for_node(node_source, "file")) then
+        ! Copy path of source file
+        call get_node_value(node_source, "file", path_source)
 
-        ! Get pointer to angular distribution
-        call get_node_ptr(node_source, "angle", node_dist)
-
-        ! Check for type of angular distribution
-        type = ''
-        if (check_for_node(node_dist, "type")) &
-             call get_node_value(node_dist, "type", type)
-        select case (to_lower(type))
-        case ('isotropic')
-          external_source % type_angle = SRC_ANGLE_ISOTROPIC
-          coeffs_reqd = 0
-        case ('monodirectional')
-          external_source % type_angle = SRC_ANGLE_MONO
-          coeffs_reqd = 3
-        case ('tabular')
-          external_source % type_angle = SRC_ANGLE_TABULAR
-        case default
-          call fatal_error("Invalid angular distribution for external source: "&
-               &// trim(type))
-        end select
-
-        ! Determine number of parameters specified
-        if (check_for_node(node_dist, "parameters")) then
-          n = get_arraysize_double(node_dist, "parameters")
-        else
-          n = 0
+        ! Check if source file exists
+        inquire(FILE=path_source, EXIST=file_exists)
+        if (.not. file_exists) then
+          call fatal_error("Binary source file '" // trim(path_source) &
+               &// "' does not exist!")
         end if
 
-        ! Read parameters for angle distribution
-        if (n < coeffs_reqd) then
-          call fatal_error("Not enough parameters specified for angle &
-               &distribution of external source.")
-        elseif (n > coeffs_reqd) then
-          call fatal_error("Too many parameters specified for angle &
-               &distribution of external source.")
-        elseif (n > 0) then
-          allocate(external_source % params_angle(n))
-          call get_node_array(node_dist, "parameters", &
-               external_source % params_angle)
-        end if
       else
-        ! Set default angular distribution isotropic
-        external_source % type_angle  = SRC_ANGLE_ISOTROPIC
-      end if
 
-      ! Determine external source energy distribution
-      if (check_for_node(node_source, "energy")) then
+        ! Spatial distribution for external source
+        if (check_for_node(node_source, "space")) then
 
-        ! Get pointer to energy distribution
-        call get_node_ptr(node_source, "energy", node_dist)
+          ! Get pointer to spatial distribution
+          call get_node_ptr(node_source, "space", node_space)
 
-        ! Check for type of energy distribution
-        type = ''
-        if (check_for_node(node_dist, "type")) &
-             call get_node_value(node_dist, "type", type)
-        select case (to_lower(type))
-        case ('monoenergetic')
-          external_source % type_energy = SRC_ENERGY_MONO
-          coeffs_reqd = 1
-        case ('maxwell')
-          external_source % type_energy = SRC_ENERGY_MAXWELL
-          coeffs_reqd = 1
-        case ('watt')
-          external_source % type_energy = SRC_ENERGY_WATT
-          coeffs_reqd = 2
-        case ('tabular')
-          external_source % type_energy = SRC_ENERGY_TABULAR
-        case default
-          call fatal_error("Invalid energy distribution for external source: " &
-               &// trim(type))
-        end select
+          ! Check for type of spatial distribution
+          type = ''
+          if (check_for_node(node_space, "type")) &
+               call get_node_value(node_space, "type", type)
+          select case (to_lower(type))
+          case ('cartesian')
+            allocate(CartesianIndependent :: external_source(i)%space)
+
+          case ('box')
+            allocate(SpatialBox :: external_source(i)%space)
+
+          case ('fission')
+            allocate(SpatialBox :: external_source(i)%space)
+            select type(space => external_source(i)%space)
+            type is (SpatialBox)
+              space%only_fissionable = .true.
+            end select
+
+          case ('point')
+            allocate(SpatialPoint :: external_source(i)%space)
+
+          case default
+            call fatal_error("Invalid spatial distribution for external source: "&
+                 // trim(type))
+          end select
+
+          select type (space => external_source(i)%space)
+          type is (CartesianIndependent)
+            ! Read distribution for x coordinate
+            if (check_for_node(node_space, "x")) then
+              call get_node_ptr(node_space, "x", node_dist)
+              call distribution_from_xml(space%x, node_dist)
+            else
+              allocate(Discrete :: space%x)
+              select type (dist => space%x)
+              type is (Discrete)
+                allocate(dist%x(1), dist%p(1))
+                dist%x(1) = ZERO
+                dist%p(1) = ONE
+              end select
+            end if
+
+            ! Read distribution for y coordinate
+            if (check_for_node(node_space, "y")) then
+              call get_node_ptr(node_space, "y", node_dist)
+              call distribution_from_xml(space%y, node_dist)
+            else
+              allocate(Discrete :: space%y)
+              select type (dist => space%y)
+              type is (Discrete)
+                allocate(dist%x(1), dist%p(1))
+                dist%x(1) = ZERO
+                dist%p(1) = ONE
+              end select
+            end if
+
+            if (check_for_node(node_space, "z")) then
+              call get_node_ptr(node_space, "z", node_dist)
+              call distribution_from_xml(space%z, node_dist)
+            else
+              allocate(Discrete :: space%z)
+              select type (dist => space%z)
+              type is (Discrete)
+                allocate(dist%x(1), dist%p(1))
+                dist%x(1) = ZERO
+                dist%p(1) = ONE
+              end select
+            end if
+
+          type is (SpatialBox)
+            ! Make sure correct number of parameters are given
+            if (get_arraysize_double(node_space, "parameters") /= 6) then
+              call fatal_error('Box/fission spatial source must have &
+                   &six parameters specified.')
+            end if
+
+            ! Read lower-right/upper-left coordinates
+            allocate(temp_real(6))
+            call get_node_array(node_space, "parameters", temp_real)
+            space%lower_left(:) = temp_real(1:3)
+            space%upper_right(:) = temp_real(4:6)
+            deallocate(temp_real)
+
+          type is (SpatialPoint)
+            ! Make sure correct number of parameters are given
+            if (get_arraysize_double(node_space, "parameters") /= 3) then
+              call fatal_error('Point spatial source must have &
+                   &three parameters specified.')
+            end if
+
+            ! Read location of point source
+            allocate(temp_real(3))
+            call get_node_array(node_space, "parameters", temp_real)
+            space%xyz(:) = temp_real
+            deallocate(temp_real)
+
+          end select
 
-        ! Determine number of parameters specified
-        if (check_for_node(node_dist, "parameters")) then
-          n = get_arraysize_double(node_dist, "parameters")
         else
-          n = 0
+          call fatal_error("No spatial distribution specified for external &
+               &source.")
         end if
 
-        ! Read parameters for energy distribution
-        if (n < coeffs_reqd) then
-          call fatal_error("Not enough parameters specified for energy &
-               &distribution of external source.")
-        elseif (n > coeffs_reqd) then
-          call fatal_error("Too many parameters specified for energy &
-               &distribution of external source.")
-        elseif (n > 0) then
-          allocate(external_source % params_energy(n))
-          call get_node_array(node_dist, "parameters", &
-               external_source % params_energy)
+        ! Determine external source angular distribution
+        if (check_for_node(node_source, "angle")) then
+
+          ! Get pointer to angular distribution
+          call get_node_ptr(node_source, "angle", node_angle)
+
+          ! Check for type of angular distribution
+          type = ''
+          if (check_for_node(node_angle, "type")) &
+               call get_node_value(node_angle, "type", type)
+          select case (to_lower(type))
+          case ('isotropic')
+            allocate(Isotropic :: external_source(i)%angle)
+
+          case ('monodirectional')
+            allocate(Monodirectional :: external_source(i)%angle)
+
+          case ('mu-phi')
+            allocate(PolarAzimuthal :: external_source(i)%angle)
+
+          case default
+            call fatal_error("Invalid angular distribution for external source: "&
+                 // trim(type))
+          end select
+
+          ! Read reference directional unit vector
+          if (check_for_node(node_angle, "reference_uvw")) then
+            n = get_arraysize_double(node_angle, "reference_uvw")
+            if (n /= 3) then
+              call fatal_error('Angular distribution reference direction must have &
+                   &three parameters specified.')
+            end if
+            call get_node_array(node_angle, "reference_uvw", &
+                 external_source(i)%angle%reference_uvw)
+          else
+            ! By default, set reference unit vector to be positive z-direction
+            external_source(i)%angle%reference_uvw(:) = [ZERO, ZERO, ONE]
+          end if
+
+          ! Read parameters for angle distribution
+          select type (angle => external_source(i)%angle)
+          type is (Monodirectional)
+            call get_node_array(node_angle, "reference_uvw", &
+                 external_source(i)%angle%reference_uvw)
+
+          type is (PolarAzimuthal)
+            if (check_for_node(node_angle, "mu")) then
+              call get_node_ptr(node_angle, "mu", node_dist)
+              call distribution_from_xml(angle%mu, node_dist)
+            else
+              allocate(Uniform :: angle%mu)
+              select type (mu => angle%mu)
+              type is (Uniform)
+                mu%a = -ONE
+                mu%b = ONE
+              end select
+            end if
+
+            if (check_for_node(node_angle, "phi")) then
+              call get_node_ptr(node_angle, "phi", node_dist)
+              call distribution_from_xml(angle%phi, node_dist)
+            else
+              allocate(Uniform :: angle%phi)
+              select type (phi => angle%phi)
+              type is (Uniform)
+                phi%a = ZERO
+                phi%b = TWO*PI
+              end select
+            end if
+          end select
+
+        else
+          ! Set default angular distribution isotropic
+          allocate(Isotropic :: external_source(i)%angle)
+          external_source(i)%angle%reference_uvw(:) = [ZERO, ZERO, ONE]
+        end if
+
+        ! Determine external source energy distribution
+        if (check_for_node(node_source, "energy")) then
+          call get_node_ptr(node_source, "energy", node_dist)
+          call distribution_from_xml(external_source(i)%energy, node_dist)
+        else
+          ! Default to a Watt spectrum with parameters 0.988 MeV and 2.249 MeV^-1
+          allocate(Watt :: external_source(i)%energy)
+          select type(energy => external_source(i)%energy)
+          type is (Watt)
+            energy%a = 0.988_8
+            energy%b = 2.249_8
+          end select
         end if
-      else
-        ! Set default energy distribution to Watt fission spectrum
-        external_source % type_energy = SRC_ENERGY_WATT
-        allocate(external_source % params_energy(2))
-        external_source % params_energy = (/ 0.988_8, 2.249_8 /)
       end if
-    end if
+    end do
 
     ! Survival biasing
     if (check_for_node(doc, "survival_biasing")) then
@@ -835,8 +977,8 @@ contains
       if (check_for_node(node_output, "summary")) then
         call get_node_value(node_output, "summary", temp_str)
         temp_str = to_lower(temp_str)
-        if (trim(temp_str) == 'true' .or. &
-             trim(temp_str) == '1') output_summary = .true.
+        if (trim(temp_str) == 'false' .or. &
+             trim(temp_str) == '0') output_summary = .false.
       end if
 
       ! Check for cross sections option
@@ -883,7 +1025,7 @@ contains
           ! check to make sure a nuclide is specified
           if (.not. check_for_node(node_scatterer, "nuclide")) then
             call fatal_error("No nuclide specified for scatterer " &
-                 &// trim(to_str(i)) // " in settings.xml file!")
+                 // trim(to_str(i)) // " in settings.xml file!")
           end if
           call get_node_value(node_scatterer, "nuclide", &
                nuclides_0K(i) % nuclide)
@@ -897,7 +1039,7 @@ contains
           if (.not. check_for_node(node_scatterer, "xs_label")) then
             call fatal_error("Must specify the temperature dependent name of &
                  &scatterer " // trim(to_str(i)) &
-                 &// " given in cross_sections.xml")
+                 // " given in cross_sections.xml")
           end if
           call get_node_value(node_scatterer, "xs_label", &
                nuclides_0K(i) % name)
@@ -905,7 +1047,7 @@ contains
           ! check to make sure 0K xs name for which method is applied is given
           if (.not. check_for_node(node_scatterer, "xs_label_0K")) then
             call fatal_error("Must specify the 0K name of scatterer " &
-                 &// trim(to_str(i)) // " given in cross_sections.xml")
+                 // trim(to_str(i)) // " given in cross_sections.xml")
           end if
           call get_node_value(node_scatterer, "xs_label_0K", &
                nuclides_0K(i) % name_0K)
@@ -965,7 +1107,21 @@ contains
         default_expand = JENDL_40
       case default
         call fatal_error("Unknown natural element expansion option: " &
-             &// trim(temp_str))
+             // trim(temp_str))
+      end select
+    end if
+
+    ! Check to see if windowed multipole functionality is requested
+    if (check_for_node(doc, "use_windowed_multipole")) then
+      call get_node_value(doc, "use_windowed_multipole", temp_str)
+      select case (to_lower(temp_str))
+      case ('true', '1')
+        multipole_active = .true.
+      case ('false', '0')
+        multipole_active = .false.
+      case default
+        call fatal_error("Unrecognized value for <use_windowed_multipole> in &
+             &settings.xml")
       end select
     end if
 
@@ -982,11 +1138,12 @@ contains
   subroutine read_geometry_xml()
 
     integer :: i, j, k, m, i_x, i_a, input_index
-    integer :: n
-    integer :: n_x, n_y, n_z, n_rings, n_rlats, n_hlats
+    integer :: n, n_mats, n_x, n_y, n_z, n_rings, n_rlats, n_hlats
     integer :: universe_num
     integer :: n_cells_in_univ
     integer :: coeffs_reqd
+    integer :: i_xmin, i_xmax, i_ymin, i_ymax, i_zmin, i_zmax
+    real(8) :: xmin, xmax, ymin, ymax, zmin, zmax
     integer, allocatable :: temp_int_array(:)
     real(8) :: phi, theta, psi
     real(8), allocatable :: coeffs(:)
@@ -994,7 +1151,8 @@ contains
     logical :: boundary_exists
     character(MAX_LINE_LEN) :: filename
     character(MAX_WORD_LEN) :: word
-    character(1000) :: region_spec
+    character(MAX_WORD_LEN), allocatable :: sarray(:)
+    character(REGION_SPEC_LEN) :: region_spec
     type(Cell),     pointer :: c
     class(Surface), pointer :: s
     class(Lattice), pointer :: lat
@@ -1049,8 +1207,9 @@ contains
     do i = 1, n_cells
       c => cells(i)
 
-      ! Initialize the number of cell instances - this is a base case for distribcells
+      ! Initialize distribcell instances and distribcell index
       c % instances = 0
+      c % distribcell_index = NONE
 
       ! Get pointer to i-th cell node
       call get_list_item(node_cell_list, i, node_cell)
@@ -1081,40 +1240,54 @@ contains
       ! Check to make sure 'id' hasn't been used
       if (cell_dict % has_key(c % id)) then
         call fatal_error("Two or more cells use the same unique ID: " &
-             &// to_str(c % id))
+             // to_str(c % id))
       end if
 
       ! Read material
-      word = ''
-      if (check_for_node(node_cell, "material")) &
-           call get_node_value(node_cell, "material", word)
-      select case(to_lower(word))
-      case ('void')
-        c % material = MATERIAL_VOID
+      if (check_for_node(node_cell, "material")) then
+        n_mats = get_arraysize_string(node_cell, "material")
 
-      case ('')
-        ! This case is called if no material was specified
-        c % material = NONE
+        if (n_mats > 0) then
+          allocate(sarray(n_mats))
+          call get_node_array(node_cell, "material", sarray)
 
-      case default
-        c % material = int(str_to_int(word), 4)
+          allocate(c % material(n_mats))
+          do j = 1, n_mats
+            select case(trim(to_lower(sarray(j))))
+            case ('void')
+              c % material(j) = MATERIAL_VOID
+            case default
+              c % material(j) = int(str_to_int(sarray(j)), 4)
 
-        ! Check for error
-        if (c % material == ERROR_INT) then
-          call fatal_error("Invalid material specified on cell " &
-               &// to_str(c % id))
+              ! Check for error
+              if (c % material(j) == ERROR_INT) then
+                call fatal_error("Invalid material specified on cell " &
+                     // to_str(c % id))
+              end if
+            end select
+          end do
+
+          deallocate(sarray)
+
+        else
+          allocate(c % material(1))
+          c % material(1) = NONE
         end if
-      end select
+
+      else
+        allocate(c % material(1))
+        c % material(1) = NONE
+      end if
 
       ! Check to make sure that either material or fill was specified
-      if (c % material == NONE .and. c % fill == NONE) then
+      if (c % material(1) == NONE .and. c % fill == NONE) then
         call fatal_error("Neither material nor fill was specified for cell " &
-             &// trim(to_str(c % id)))
+             // trim(to_str(c % id)))
       end if
 
       ! Check to make sure that both material and fill haven't been
       ! specified simultaneously
-      if (c % material /= NONE .and. c % fill /= NONE) then
+      if (c % material(1) /= NONE .and. c % fill /= NONE) then
         call fatal_error("Cannot specify material and fill simultaneously")
       end if
 
@@ -1169,7 +1342,7 @@ contains
         n = get_arraysize_double(node_cell, "rotation")
         if (n /= 3) then
           call fatal_error("Incorrect number of rotation parameters on cell " &
-               &// to_str(c % id))
+               // to_str(c % id))
         end if
 
         ! Copy rotation angles in x,y,z directions
@@ -1197,7 +1370,7 @@ contains
         ! another universe
         if (c % fill == NONE) then
           call fatal_error("Cannot apply a translation to cell " &
-               &// trim(to_str(c % id)) // " because it is not filled with &
+               // trim(to_str(c % id)) // " because it is not filled with &
                &another universe")
         end if
 
@@ -1213,6 +1386,44 @@ contains
         call get_node_array(node_cell, "translation", c % translation)
       end if
 
+      ! Read cell temperatures.  If the temperature is not specified, set it to
+      ! ERROR_REAL for now.  During initialization we'll replace ERROR_REAL with
+      ! the temperature from the material data.
+      if (.not. run_CE) then
+        ! Cell temperatures are not used for MG mode.
+        allocate(c % sqrtkT(1))
+        c % sqrtkT(1) = ZERO
+      else if (check_for_node(node_cell, "temperature")) then
+        n = get_arraysize_double(node_cell, "temperature")
+        if (n > 0) then
+          ! Make sure this is a "normal" cell.
+          if (c % material(1) == NONE) call fatal_error("Cell " &
+               // trim(to_str(c % id)) // " was specified with a temperature &
+               &but no material. Temperature specification is only valid for &
+               &cells filled with a material.")
+
+          ! Copy in temperatures
+          allocate(c % sqrtkT(n))
+          call get_node_array(node_cell, "temperature", c % sqrtkT)
+
+          ! Make sure all temperatues are positive
+          do j = 1, size(c % sqrtkT)
+            if (c % sqrtkT(j) < ZERO) call fatal_error("Cell " &
+                 // trim(to_str(c % id)) // " was specified with a negative &
+                 &temperature. All cell temperatures must be non-negative.")
+          end do
+
+          ! Convert to sqrt(kT)
+          c % sqrtkT(:) = sqrt(K_BOLTZMANN * c % sqrtkT(:))
+        else
+          allocate(c % sqrtkT(1))
+          c % sqrtkT(1) = ERROR_REAL
+        end if
+      else
+        allocate(c % sqrtkT(1))
+        c % sqrtkT = ERROR_REAL
+      end if
+
       ! Add cell to dictionary
       call cell_dict % add_key(c % id, i)
 
@@ -1249,6 +1460,13 @@ contains
       call fatal_error("No surfaces found in geometry.xml!")
     end if
 
+    xmin = INFINITY
+    xmax = -INFINITY
+    ymin = INFINITY
+    ymax = -INFINITY
+    zmin = INFINITY
+    zmax = -INFINITY
+
     ! Allocate cells array
     allocate(surfaces(n_surfaces))
 
@@ -1313,7 +1531,7 @@ contains
       ! Check to make sure 'id' hasn't been used
       if (surface_dict % has_key(s%id)) then
         call fatal_error("Two or more surfaces use the same unique ID: " &
-             &// to_str(s%id))
+             // to_str(s%id))
       end if
 
       ! Copy surface name
@@ -1328,10 +1546,10 @@ contains
       n = get_arraysize_double(node_surf, "coeffs")
       if (n < coeffs_reqd) then
         call fatal_error("Not enough coefficients specified for surface: " &
-             &// trim(to_str(s%id)))
+             // trim(to_str(s%id)))
       elseif (n > coeffs_reqd) then
         call fatal_error("Too many coefficients specified for surface: " &
-             &// trim(to_str(s%id)))
+             // trim(to_str(s%id)))
       end if
 
       allocate(coeffs(n))
@@ -1340,10 +1558,28 @@ contains
       select type(s)
       type is (SurfaceXPlane)
         s%x0 = coeffs(1)
+
+        ! Determine outer surfaces
+        xmin = min(xmin, s % x0)
+        xmax = max(xmax, s % x0)
+        if (xmin == s % x0) i_xmin = i
+        if (xmax == s % x0) i_xmax = i
       type is (SurfaceYPlane)
         s%y0 = coeffs(1)
+
+        ! Determine outer surfaces
+        ymin = min(ymin, s % y0)
+        ymax = max(ymax, s % y0)
+        if (ymin == s % y0) i_ymin = i
+        if (ymax == s % y0) i_ymax = i
       type is (SurfaceZPlane)
         s%z0 = coeffs(1)
+
+        ! Determine outer surfaces
+        zmin = min(zmin, s % z0)
+        zmax = max(zmax, s % z0)
+        if (zmin == s % z0) i_zmin = i
+        if (zmax == s % z0) i_zmax = i
       type is (SurfacePlane)
         s%A = coeffs(1)
         s%B = coeffs(2)
@@ -1410,11 +1646,19 @@ contains
       case ('reflective', 'reflect', 'reflecting')
         s%bc = BC_REFLECT
         boundary_exists = .true.
+      case ('periodic')
+        s%bc = BC_PERIODIC
+        boundary_exists = .true.
+
+        ! Check for specification of periodic surface
+        if (check_for_node(node_surf, "periodic_surface_id")) then
+          call get_node_value(node_surf, "periodic_surface_id", &
+               s % i_periodic)
+        end if
       case default
         call fatal_error("Unknown boundary condition '" // trim(word) // &
              &"' specified on surface " // trim(to_str(s%id)))
       end select
-
       ! Add surface to dictionary
       call surface_dict % add_key(s%id, i)
     end do
@@ -1425,6 +1669,67 @@ contains
       call fatal_error("No boundary conditions were applied to any surfaces!")
     end if
 
+    ! Determine opposite side for periodic boundaries
+    do i = 1, size(surfaces)
+      if (surfaces(i) % obj % bc == BC_PERIODIC) then
+        select type (surf => surfaces(i) % obj)
+        type is (SurfaceXPlane)
+          if (surf % i_periodic == NONE) then
+            if (i == i_xmin) then
+              surf % i_periodic = i_xmax
+            elseif (i == i_xmax) then
+              surf % i_periodic = i_xmin
+            else
+              call fatal_error("Periodic boundary condition applied to &
+                   &interior surface.")
+            end if
+          else
+            surf % i_periodic = surface_dict % get_key(surf % i_periodic)
+          end if
+
+        type is (SurfaceYPlane)
+          if (surf % i_periodic == NONE) then
+            if (i == i_ymin) then
+              surf % i_periodic = i_ymax
+            elseif (i == i_ymax) then
+              surf % i_periodic = i_ymin
+            else
+              call fatal_error("Periodic boundary condition applied to &
+                   &interior surface.")
+            end if
+          else
+            surf % i_periodic = surface_dict % get_key(surf % i_periodic)
+          end if
+
+        type is (SurfaceZPlane)
+          if (surf % i_periodic == NONE) then
+            if (i == i_zmin) then
+              surf % i_periodic = i_zmax
+            elseif (i == i_zmax) then
+              surf % i_periodic = i_zmin
+            else
+              call fatal_error("Periodic boundary condition applied to &
+                   &interior surface.")
+            end if
+          else
+            surf % i_periodic = surface_dict % get_key(surf % i_periodic)
+          end if
+
+        class default
+          call fatal_error("Periodic boundary condition applied to &
+               &non-planar surface.")
+        end select
+
+        ! Make sure opposite surface is also periodic
+        associate (surf => surfaces(i) % obj)
+          if (surfaces(surf % i_periodic) % obj % bc /= BC_PERIODIC) then
+            call fatal_error("Could not find matching surface for periodic &
+                 &boundary on surface " // trim(to_str(surf % id)) // ".")
+          end if
+        end associate
+      end if
+    end do
+
     ! ==========================================================================
     ! READ LATTICES FROM GEOMETRY.XML
 
@@ -1457,7 +1762,7 @@ contains
       ! Check to make sure 'id' hasn't been used
       if (lattice_dict % has_key(lat % id)) then
         call fatal_error("Two or more lattices use the same unique ID: " &
-             &// to_str(lat % id))
+             // to_str(lat % id))
       end if
 
       ! Copy lattice name
@@ -1585,7 +1890,7 @@ contains
       ! Check to make sure 'id' hasn't been used
       if (lattice_dict % has_key(lat % id)) then
         call fatal_error("Two or more lattices use the same unique ID: " &
-             &// to_str(lat % id))
+             // to_str(lat % id))
       end if
 
       ! Copy lattice name
@@ -1757,21 +2062,23 @@ contains
 
   subroutine read_materials_xml()
 
-    integer :: i             ! loop index for materials
-    integer :: j             ! loop index for nuclides
-    integer :: k             ! loop index for elements
-    integer :: n             ! number of nuclides
-    integer :: n_sab         ! number of sab tables for a material
-    integer :: n_nuc_ele     ! number of nuclides in an element
-    integer :: index_list    ! index in xs_listings array
-    integer :: index_nuclide ! index in nuclides
-    integer :: index_sab     ! index in sab_tables
-    real(8) :: val           ! value entered for density
-    real(8) :: temp_dble     ! temporary double prec. real
-    logical :: file_exists   ! does materials.xml exist?
-    logical :: sum_density   ! density is taken to be sum of nuclide densities
-    character(12) :: name    ! name of isotope, e.g. 92235.03c
-    character(12) :: alias   ! alias of nuclide, e.g. U-235.03c
+    integer :: i              ! loop index for materials
+    integer :: j              ! loop index for nuclides
+    integer :: k              ! loop index for elements
+    integer :: n              ! number of nuclides
+    integer :: n_sab          ! number of sab tables for a material
+    integer :: n_nuc_ele      ! number of nuclides in an element
+    integer :: index_list     ! index in xs_listings array
+    integer :: index_nuclide  ! index in nuclides
+    integer :: index_nuc_zaid ! index in nuclide ZAID
+    integer :: index_sab      ! index in sab_tables
+    real(8) :: val            ! value entered for density
+    real(8) :: temp_dble      ! temporary double prec. real
+    logical :: file_exists    ! does materials.xml exist?
+    logical :: sum_density    ! density is taken to be sum of nuclide densities
+    integer :: zaid           ! ZAID of nuclide
+    character(12) :: name     ! name of isotope, e.g. 92235.03c
+    character(12) :: alias    ! alias of nuclide, e.g. U-235.03c
     character(MAX_WORD_LEN) :: units    ! units on density
     character(MAX_LINE_LEN) :: filename ! absolute path to materials.xml
     character(MAX_LINE_LEN) :: temp_str ! temporary string when reading
@@ -1787,6 +2094,7 @@ contains
     type(Node), pointer :: node_sab => null()
     type(NodeList), pointer :: node_mat_list => null()
     type(NodeList), pointer :: node_nuc_list => null()
+    type(NodeList), pointer :: node_macro_list => null()
     type(NodeList), pointer :: node_ele_list => null()
     type(NodeList), pointer :: node_sab_list => null()
 
@@ -1820,6 +2128,7 @@ contains
 
     ! Initialize count for number of nuclides/S(a,b) tables
     index_nuclide = 0
+    index_nuc_zaid = 0
     index_sab = 0
 
     do i = 1, n_materials
@@ -1838,12 +2147,13 @@ contains
       ! Check to make sure 'id' hasn't been used
       if (material_dict % has_key(mat % id)) then
         call fatal_error("Two or more materials use the same unique ID: " &
-             &// to_str(mat % id))
+             // to_str(mat % id))
       end if
 
       ! Copy material name
       if (check_for_node(node_mat, "name")) then
         call get_node_value(node_mat, "name", mat % name)
+        mat % name = to_lower(mat % name)
       end if
 
       if (run_mode == MODE_PLOTTING) then
@@ -1860,7 +2170,7 @@ contains
         call get_node_ptr(node_mat, "density", node_dens)
       else
         call fatal_error("Must specify density element in material " &
-             &// trim(to_str(mat % id)))
+             // trim(to_str(mat % id)))
       end if
 
       ! Initialize value to zero
@@ -1876,6 +2186,19 @@ contains
 
         sum_density = .true.
 
+      else if (units == 'macro') then
+        if (check_for_node(node_dens, "value")) then
+          ! Copy value
+          call get_node_value(node_dens, "value", val)
+        else
+          val = ONE
+        end if
+
+        ! Set density
+        mat % density = val
+
+        sum_density = .false.
+
       else
         ! Copy value
         call get_node_value(node_dens, "value", val)
@@ -1884,7 +2207,7 @@ contains
         sum_density = .false.
         if (val <= ZERO) then
           call fatal_error("Need to specify a positive density on material " &
-               &// trim(to_str(mat % id)) // ".")
+               // trim(to_str(mat % id)) // ".")
         end if
 
         ! Adjust material density based on specified units
@@ -1899,7 +2222,7 @@ contains
           mat % density = 1.0e-24_8 * val
         case default
           call fatal_error("Unkwown units '" // trim(units) &
-               &// "' specified on material " // trim(to_str(mat % id)))
+               // "' specified on material " // trim(to_str(mat % id)))
         end select
       end if
 
@@ -1908,80 +2231,141 @@ contains
 
       ! Check to ensure material has at least one nuclide
       if (.not. check_for_node(node_mat, "nuclide") .and. &
-           .not. check_for_node(node_mat, "element")) then
-        call fatal_error("No nuclides or natural elements specified on &
-             &material " // trim(to_str(mat % id)))
+           .not. check_for_node(node_mat, "element") .and. &
+           .not. check_for_node(node_mat, "macroscopic")) then
+        call fatal_error("No macroscopic data, nuclides or natural elements &
+                         &specified on material " // trim(to_str(mat % id)))
       end if
 
-      ! Get pointer list of XML <nuclide>
-      call get_node_list(node_mat, "nuclide", node_nuc_list)
+      ! Create list of macroscopic x/s based on those specified, just treat
+      ! them as nuclides. This is all really a facade so the user thinks they
+      ! are entering in macroscopic data but the code treats them the same
+      ! as nuclides internally.
+      ! Get pointer list of XML <macroscopic>
+      call get_node_list(node_mat, "macroscopic", node_macro_list)
+      if (run_CE .and. (get_list_size(node_macro_list) > 0)) then
+        call fatal_error("Macroscopic can not be used in continuous-energy&
+                         & mode!")
+      else if (get_list_size(node_macro_list) > 1) then
+        call fatal_error("Only one macroscopic object permitted per material, " &
+             // trim(to_str(mat % id)))
+      else if (get_list_size(node_macro_list) == 1) then
 
-      ! Create list of nuclides based on those specified plus natural elements
-      INDIVIDUAL_NUCLIDES: do j = 1, get_list_size(node_nuc_list)
-        ! Combine nuclide identifier and cross section and copy into names
-        call get_list_item(node_nuc_list, j, node_nuc)
+        call get_list_item(node_macro_list, 1, node_nuc)
 
         ! Check for empty name on nuclide
-        if (.not.check_for_node(node_nuc, "name")) then
-          call fatal_error("No name specified on nuclide in material " &
-               &// trim(to_str(mat % id)))
+        if (.not. check_for_node(node_nuc, "name")) then
+          call fatal_error("No name specified on macroscopic data in material " &
+               // trim(to_str(mat % id)))
         end if
 
         ! Check for cross section
-        if (.not.check_for_node(node_nuc, "xs")) then
+        if (.not. check_for_node(node_nuc, "xs")) then
           if (default_xs == '') then
-            call fatal_error("No cross section specified for nuclide in &
-                 &material " // trim(to_str(mat % id)))
+            call fatal_error("No cross section specified for macroscopic data &
+                 & in material " // trim(to_str(mat % id)))
           else
-            name = trim(default_xs)
+            name = to_lower(trim(default_xs))
           end if
         end if
 
-        ! Check enforced isotropic lab scattering
-        if (check_for_node(node_nuc, "scattering")) then
-          call get_node_value(node_nuc, "scattering", temp_str)
-          if (adjustl(to_lower(temp_str)) == "iso-in-lab") then
-            call list_iso_lab % append(1)
-          else if (adjustl(to_lower(temp_str)) == "data") then
-            call list_iso_lab % append(0)
-          else
-            call fatal_error("Scattering must be isotropic in lab or follow&
-                 & the ACE file data")
-          end if
-        else
-          call list_iso_lab % append(0)
-        end if
-
         ! store full name
         call get_node_value(node_nuc, "name", temp_str)
         if (check_for_node(node_nuc, "xs")) &
              call get_node_value(node_nuc, "xs", name)
         name = trim(temp_str) // "." // trim(name)
+        name = to_lower(name)
 
         ! save name and density to list
         call list_names % append(name)
 
         ! Check if no atom/weight percents were specified or if both atom and
         ! weight percents were specified
-        if (.not.check_for_node(node_nuc, "ao") .and. &
-             .not.check_for_node(node_nuc, "wo")) then
-          call fatal_error("No atom or weight percent specified for nuclide " &
-               &// trim(name))
-        elseif (check_for_node(node_nuc, "ao") .and. &
-                check_for_node(node_nuc, "wo")) then
-          call fatal_error("Cannot specify both atom and weight percents for a &
-               &nuclide: " // trim(name))
-        end if
-
-        ! Copy atom/weight percents
-        if (check_for_node(node_nuc, "ao")) then
-          call get_node_value(node_nuc, "ao", temp_dble)
-          call list_density % append(temp_dble)
+        if (units == 'macro') then
+          call list_density % append(ONE)
         else
-          call get_node_value(node_nuc, "wo", temp_dble)
-          call list_density % append(-temp_dble)
+          call fatal_error("Units can only be macro for macroscopic data " &
+               // trim(name))
         end if
-      end do INDIVIDUAL_NUCLIDES
+      else
+
+        ! Get pointer list of XML <nuclide>
+        call get_node_list(node_mat, "nuclide", node_nuc_list)
+
+        ! Create list of nuclides based on those specified plus natural elements
+        INDIVIDUAL_NUCLIDES: do j = 1, get_list_size(node_nuc_list)
+          ! Combine nuclide identifier and cross section and copy into names
+          call get_list_item(node_nuc_list, j, node_nuc)
+
+          ! Check for empty name on nuclide
+          if (.not. check_for_node(node_nuc, "name")) then
+            call fatal_error("No name specified on nuclide in material " &
+                 // trim(to_str(mat % id)))
+          end if
+
+          ! Check for cross section
+          if (.not. check_for_node(node_nuc, "xs")) then
+            if (default_xs == '') then
+              call fatal_error("No cross section specified for nuclide in &
+                   &material " // trim(to_str(mat % id)))
+            else
+              name = to_lower(trim(default_xs))
+            end if
+          end if
+
+          ! Check enforced isotropic lab scattering
+          if (run_CE) then
+            if (check_for_node(node_nuc, "scattering")) then
+              call get_node_value(node_nuc, "scattering", temp_str)
+              if (adjustl(to_lower(temp_str)) == "iso-in-lab") then
+                call list_iso_lab % append(1)
+              else if (adjustl(to_lower(temp_str)) == "data") then
+                call list_iso_lab % append(0)
+              else
+                call fatal_error("Scattering must be isotropic in lab or follow&
+                     & the ACE file data")
+              end if
+            else
+              call list_iso_lab % append(0)
+            end if
+          end if
+
+          ! store full name
+          call get_node_value(node_nuc, "name", temp_str)
+          if (check_for_node(node_nuc, "xs")) &
+               call get_node_value(node_nuc, "xs", name)
+          name = trim(temp_str) // "." // trim(name)
+          name = to_lower(name)
+
+          ! save name and density to list
+          call list_names % append(name)
+
+          ! Check if no atom/weight percents were specified or if both atom and
+          ! weight percents were specified
+          if (units == 'macro') then
+            call list_density % append(ONE)
+          else
+            if (.not. check_for_node(node_nuc, "ao") .and. &
+                 .not. check_for_node(node_nuc, "wo")) then
+              call fatal_error("No atom or weight percent specified for nuclide " &
+                   // trim(name))
+            elseif (check_for_node(node_nuc, "ao") .and. &
+                    check_for_node(node_nuc, "wo")) then
+              call fatal_error("Cannot specify both atom and weight percents for a &
+                   &nuclide: " // trim(name))
+            end if
+
+            ! Copy atom/weight percents
+            if (check_for_node(node_nuc, "ao")) then
+              call get_node_value(node_nuc, "ao", temp_dble)
+              call list_density % append(temp_dble)
+            else
+              call get_node_value(node_nuc, "wo", temp_dble)
+              call list_density % append(-temp_dble)
+            end if
+          end if
+        end do INDIVIDUAL_NUCLIDES
+      end if
 
       ! =======================================================================
       ! READ AND PARSE <element> TAGS
@@ -1993,9 +2377,9 @@ contains
         call get_list_item(node_ele_list, j, node_ele)
 
         ! Check for empty name on natural element
-        if (.not.check_for_node(node_ele, "name")) then
+        if (.not. check_for_node(node_ele, "name")) then
           call fatal_error("No name specified on nuclide in material " &
-               &// trim(to_str(mat % id)))
+               // trim(to_str(mat % id)))
         end if
         call get_node_value(node_ele, "name", name)
 
@@ -2007,16 +2391,16 @@ contains
             call fatal_error("No cross section specified for nuclide in &
                  &material " // trim(to_str(mat % id)))
           else
-            temp_str = trim(default_xs)
+            temp_str = to_lower(trim(default_xs))
           end if
         end if
 
         ! Check if no atom/weight percents were specified or if both atom and
         ! weight percents were specified
-        if (.not.check_for_node(node_ele, "ao") .and. &
-             .not.check_for_node(node_ele, "wo")) then
+        if (.not. check_for_node(node_ele, "ao") .and. &
+             .not. check_for_node(node_ele, "wo")) then
           call fatal_error("No atom or weight percent specified for element " &
-               &// trim(name))
+               // trim(name))
         elseif (check_for_node(node_ele, "ao") .and. &
                 check_for_node(node_ele, "wo")) then
           call fatal_error("Cannot specify both atom and weight percents for &
@@ -2040,23 +2424,25 @@ contains
         n_nuc_ele = list_names % size() - n_nuc_ele
 
         ! Check enforced isotropic lab scattering
-        if (check_for_node(node_ele, "scattering")) then
-          call get_node_value(node_ele, "scattering", temp_str)
-        else
-          temp_str = "data"
-        end if
-
-        ! Set ace or iso-in-lab scattering for each nuclide in element
-        do k = 1, n_nuc_ele
-          if (adjustl(to_lower(temp_str)) == "iso-in-lab") then
-            call list_iso_lab % append(1)
-          else if (adjustl(to_lower(temp_str)) == "data") then
-            call list_iso_lab % append(0)
+        if (run_CE) then
+          if (check_for_node(node_ele, "scattering")) then
+            call get_node_value(node_ele, "scattering", temp_str)
           else
-            call fatal_error("Scattering must be isotropic in lab or follow&
-                 & the ACE file data")
+            temp_str = "data"
           end if
-        end do
+
+          ! Set ace or iso-in-lab scattering for each nuclide in element
+          do k = 1, n_nuc_ele
+            if (adjustl(to_lower(temp_str)) == "iso-in-lab") then
+              call list_iso_lab % append(1)
+            else if (adjustl(to_lower(temp_str)) == "data") then
+              call list_iso_lab % append(0)
+            else
+              call fatal_error("Scattering must be isotropic in lab or follow&
+                   & the ACE file data")
+            end if
+          end do
+        end if
 
       end do NATURAL_ELEMENTS
 
@@ -2076,20 +2462,23 @@ contains
         name = trim(list_names % get_item(j))
         if (.not. xs_listing_dict % has_key(to_lower(name))) then
           call fatal_error("Could not find nuclide " // trim(name) &
-               &// " in cross_sections.xml file!")
+               // " in cross_sections data file!")
         end if
 
-        ! Check to make sure cross-section is continuous energy neutron table
-        n = len_trim(name)
-        if (name(n:n) /= 'c') then
-          call fatal_error("Cross-section table " // trim(name) &
-               &// " is not a continuous-energy neutron table.")
+        if (run_CE) then
+          ! Check to make sure cross-section is continuous energy neutron table
+          n = len_trim(name)
+          if (name(n:n) /= 'c') then
+            call fatal_error("Cross-section table " // trim(name) &
+                 // " is not a continuous-energy neutron table.")
+          end if
         end if
 
         ! Find xs_listing and set the name/alias according to the listing
         index_list = xs_listing_dict % get_key(to_lower(name))
         name       = xs_listings(index_list) % name
         alias      = xs_listings(index_list) % alias
+        zaid       = xs_listings(index_list) % zaid
 
         ! If this nuclide hasn't been encountered yet, we need to add its name
         ! and alias to the nuclide_dict
@@ -2103,6 +2492,12 @@ contains
           mat % nuclide(j) = nuclide_dict % get_key(to_lower(name))
         end if
 
+        ! Construct dict of nuclide zaid
+        if (.not. nuc_zaid_dict % has_key(zaid)) then
+          index_nuc_zaid  = index_nuc_zaid + 1
+          call nuc_zaid_dict % add_key(zaid, index_nuc_zaid)
+        end if
+
         ! Copy name and atom/weight percent
         mat % names(j) = name
         mat % atom_density(j) = list_density % get_item(j)
@@ -2121,7 +2516,7 @@ contains
       if (.not. (all(mat % atom_density >= ZERO) .or. &
            all(mat % atom_density <= ZERO))) then
         call fatal_error("Cannot mix atom and weight percents in material " &
-             &// to_str(mat % id))
+             // to_str(mat % id))
       end if
 
       ! Determine density if it is a sum value
@@ -2134,59 +2529,60 @@ contains
 
       ! =======================================================================
       ! READ AND PARSE <sab> TAG FOR S(a,b) DATA
+      if (run_CE) then
+        ! Get pointer list to XML <sab>
+        call get_node_list(node_mat, "sab", node_sab_list)
 
-      ! Get pointer list to XML <sab>
-      call get_node_list(node_mat, "sab", node_sab_list)
+        n_sab = get_list_size(node_sab_list)
+        if (n_sab > 0) then
+          ! Set number of S(a,b) tables
+          mat % n_sab = n_sab
 
-      n_sab = get_list_size(node_sab_list)
-      if (n_sab > 0) then
-        ! Set number of S(a,b) tables
-        mat % n_sab = n_sab
+          ! Allocate names and indices for nuclides and tables
+          allocate(mat % sab_names(n_sab))
+          allocate(mat % i_sab_nuclides(n_sab))
+          allocate(mat % i_sab_tables(n_sab))
 
-        ! Allocate names and indices for nuclides and tables
-        allocate(mat % sab_names(n_sab))
-        allocate(mat % i_sab_nuclides(n_sab))
-        allocate(mat % i_sab_tables(n_sab))
+          ! Initialize i_sab_nuclides
+          mat % i_sab_nuclides = NONE
 
-        ! Initialize i_sab_nuclides
-        mat % i_sab_nuclides = NONE
+          do j = 1, n_sab
+            ! Get pointer to S(a,b) table
+            call get_list_item(node_sab_list, j, node_sab)
 
-        do j = 1, n_sab
-          ! Get pointer to S(a,b) table
-          call get_list_item(node_sab_list, j, node_sab)
+            ! Determine name of S(a,b) table
+            if (.not. check_for_node(node_sab, "name") .or. &
+                 .not. check_for_node(node_sab, "xs")) then
+              call fatal_error("Need to specify <name> and <xs> for S(a,b) &
+                   &table.")
+            end if
+            call get_node_value(node_sab, "name", name)
+            call get_node_value(node_sab, "xs", temp_str)
+            name = trim(name) // "." // trim(temp_str)
+            mat % sab_names(j) = name
 
-          ! Determine name of S(a,b) table
-          if (.not.check_for_node(node_sab, "name") .or. &
-               .not.check_for_node(node_sab, "xs")) then
-            call fatal_error("Need to specify <name> and <xs> for S(a,b) &
-                 &table.")
-          end if
-          call get_node_value(node_sab, "name", name)
-          call get_node_value(node_sab, "xs", temp_str)
-          name = trim(name) // "." // trim(temp_str)
-          mat % sab_names(j) = name
+            ! Check that this nuclide is listed in the cross_sections.xml file
+            if (.not. xs_listing_dict % has_key(to_lower(name))) then
+              call fatal_error("Could not find S(a,b) table " // trim(name) &
+                   // " in cross_sections.xml file!")
+            end if
 
-          ! Check that this nuclide is listed in the cross_sections.xml file
-          if (.not. xs_listing_dict % has_key(to_lower(name))) then
-            call fatal_error("Could not find S(a,b) table " // trim(name) &
-                 &// " in cross_sections.xml file!")
-          end if
+            ! Find index in xs_listing and set the name and alias according to the
+            ! listing
+            index_list = xs_listing_dict % get_key(to_lower(name))
+            name       = xs_listings(index_list) % name
 
-          ! Find index in xs_listing and set the name and alias according to the
-          ! listing
-          index_list = xs_listing_dict % get_key(to_lower(name))
-          name       = xs_listings(index_list) % name
-
-          ! If this S(a,b) table hasn't been encountered yet, we need to add its
-          ! name and alias to the sab_dict
-          if (.not. sab_dict % has_key(to_lower(name))) then
-            index_sab = index_sab + 1
-            mat % i_sab_tables(j) = index_sab
-            call sab_dict % add_key(to_lower(name), index_sab)
-          else
-            mat % i_sab_tables(j) = sab_dict % get_key(to_lower(name))
-          end if
-        end do
+            ! If this S(a,b) table hasn't been encountered yet, we need to add its
+            ! name and alias to the sab_dict
+            if (.not. sab_dict % has_key(to_lower(name))) then
+              index_sab = index_sab + 1
+              mat % i_sab_tables(j) = index_sab
+              call sab_dict % add_key(to_lower(name), index_sab)
+            else
+              mat % i_sab_tables(j) = sab_dict % get_key(to_lower(name))
+            end if
+          end do
+        end if
       end if
 
       ! Add material to dictionary
@@ -2196,6 +2592,7 @@ contains
     ! Set total number of nuclides and S(a,b) tables
     n_nuclides_total = index_nuclide
     n_sab_tables     = index_sab
+    n_nuc_zaid_total = index_nuc_zaid
 
     ! Close materials XML file
     call close_xmldoc(doc)
@@ -2330,7 +2727,7 @@ contains
       ! Check to make sure 'id' hasn't been used
       if (mesh_dict % has_key(m % id)) then
         call fatal_error("Two or more meshes use the same unique ID: " &
-             &// to_str(m % id))
+             // to_str(m % id))
       end if
 
       ! Read mesh type
@@ -2386,8 +2783,8 @@ contains
       end if
 
       ! Make sure either upper-right or width was specified
-      if (.not.check_for_node(node_mesh, "upper_right") .and. &
-           .not.check_for_node(node_mesh, "width")) then
+      if (.not. check_for_node(node_mesh, "upper_right") .and. &
+           .not. check_for_node(node_mesh, "width")) then
         call fatal_error("Must specify either <upper_right> and <width> on a &
              &tally mesh.")
       end if
@@ -2471,7 +2868,7 @@ contains
       ! Check to make sure 'id' hasn't been used
       if (tally_dict % has_key(t % id)) then
         call fatal_error("Two or more tallies use the same unique ID: " &
-             &// to_str(t % id))
+             // to_str(t % id))
       end if
 
       ! Copy tally name
@@ -2512,7 +2909,7 @@ contains
             end if
           else
             call fatal_error("Bins not set in filter on tally " &
-                 &// trim(to_str(t % id)))
+                 // trim(to_str(t % id)))
           end if
 
           ! Determine type of filter
@@ -2604,7 +3001,7 @@ contains
               m => meshes(i_mesh)
             else
               call fatal_error("Could not find mesh " // trim(to_str(id)) &
-                   &// " specified on tally " // trim(to_str(t % id)))
+                   // " specified on tally " // trim(to_str(t % id)))
             end if
 
             ! Determine number of bins -- this is assuming that the tally is
@@ -2627,6 +3024,18 @@ contains
             allocate(t % filters(j) % real_bins(n_words))
             call get_node_array(node_filt, "bins", t % filters(j) % real_bins)
 
+            ! We can save tallying time if we know that the tally bins
+            ! match the energy group structure.  In that case, the matching bin
+            ! index is simply the group (after flipping for the different
+            ! ordering of the library and tallying systems).
+            if (.not. run_CE) then
+              if (n_words == energy_groups + 1) then
+                if (all(t % filters(j) % real_bins == &
+                        energy_bins(energy_groups + 1:1:-1))) &
+                     t % energy_matches_groups = .true.
+              end if
+            end if
+
           case ('energyout')
             ! Set type of filter
             t % filters(j) % type = FILTER_ENERGYOUT
@@ -2638,10 +3047,31 @@ contains
             allocate(t % filters(j) % real_bins(n_words))
             call get_node_array(node_filt, "bins", t % filters(j) % real_bins)
 
+            ! We can save tallying time if we know that the tally bins
+            ! match the energy group structure.  In that case, the matching bin
+            ! index is simply the group (after flipping for the different
+            ! ordering of the library and tallying systems).
+            if (.not. run_CE) then
+              if (n_words == energy_groups + 1) then
+                if (all(t % filters(j) % real_bins == &
+                        energy_bins(energy_groups + 1:1:-1))) &
+                     t % energyout_matches_groups = .true.
+              end if
+            end if
+
             ! Set to analog estimator
             t % estimator = ESTIMATOR_ANALOG
 
           case ('delayedgroup')
+            ! Check to see if running in MG mode, because if so, the current
+            ! system isnt set up yet to support delayed group data and thus
+            ! these tallies
+            if (.not. run_CE) then
+              call fatal_error("delayedgroup filter on tally " &
+                               // trim(to_str(t % id)) // " not yet supported&
+                               & for multi-group mode.")
+            end if
+
             ! Set type of filter
             t % filters(j) % type = FILTER_DELAYEDGROUP
 
@@ -2763,8 +3193,8 @@ contains
           case default
             ! Specified tally filter is invalid, raise error
             call fatal_error("Unknown filter type '" &
-                 &// trim(temp_str) // "' on tally " &
-                 &// trim(to_str(t % id)) // ".")
+                 // trim(temp_str) // "' on tally " &
+                 // trim(to_str(t % id)) // ".")
 
           end select
 
@@ -2842,7 +3272,7 @@ contains
 
             ! Append default_xs specifier to nuclide if needed
             if ((default_xs /= '') .and. (.not. ends_with(sarray(j), 'c'))) then
-              word = trim(word) // "." // default_xs
+              word = trim(word) // "." // trim(default_xs)
             end if
 
             ! Search through nuclides
@@ -2860,8 +3290,8 @@ contains
             ! Check if no nuclide was found
             if (.not. associated(pair_list)) then
               call fatal_error("Could not find the nuclide " &
-                   &// trim(word) // " specified in tally " &
-                   &// trim(to_str(t % id)) // " in any material.")
+                   // trim(word) // " specified in tally " &
+                   // trim(to_str(t % id)) // " in any material.")
             end if
             deallocate(pair_list)
 
@@ -2929,12 +3359,12 @@ contains
                 ! maximum order.
                 ! The above scheme will essentially take the absolute value
                 if (master) call warning("Invalid scattering order of " &
-                     &// trim(to_str(n_order)) // " requested. Setting to the &
+                     // trim(to_str(n_order)) // " requested. Setting to the &
                      &maximum permissible value, " &
-                     &// trim(to_str(MAX_ANG_ORDER)))
+                     // trim(to_str(MAX_ANG_ORDER)))
                 n_order = MAX_ANG_ORDER
                 sarray(j) = trim(MOMENT_STRS(imomstr)) &
-                     &// trim(to_str(MAX_ANG_ORDER))
+                     // trim(to_str(MAX_ANG_ORDER))
               end if
               ! Find total number of bins for this case
               if (imomstr >= YN_LOC) then
@@ -2996,9 +3426,9 @@ contains
                   ! maximum order.
                   ! The above scheme will essentially take the absolute value
                   if (master) call warning("Invalid scattering order of " &
-                       &// trim(to_str(n_order)) // " requested. Setting to &
+                       // trim(to_str(n_order)) // " requested. Setting to &
                        &the maximum permissible value, " &
-                       &// trim(to_str(MAX_ANG_ORDER)))
+                       // trim(to_str(MAX_ANG_ORDER)))
                   n_order = MAX_ANG_ORDER
                 end if
                 score_name = trim(MOMENT_N_STRS(imomstr)) // "n"
@@ -3084,27 +3514,22 @@ contains
           case ('nu-scatter')
             t % score_bins(j) = SCORE_NU_SCATTER
 
-            ! Set tally estimator to analog
-            t % estimator = ESTIMATOR_ANALOG
-          case ('scatter-n')
-            if (n_order == 0) then
-              t % score_bins(j) = SCORE_SCATTER
-            else
-              t % score_bins(j) = SCORE_SCATTER_N
-              ! Set tally estimator to analog
+            ! Set tally estimator to analog for CE mode
+            ! (MG mode has all data available without a collision being
+            ! necessary)
+            if (run_CE) then
               t % estimator = ESTIMATOR_ANALOG
             end if
+
+          case ('scatter-n')
+            t % score_bins(j) = SCORE_SCATTER_N
             t % moment_order(j) = n_order
+            t % estimator = ESTIMATOR_ANALOG
 
           case ('nu-scatter-n')
-            ! Set tally estimator to analog
-            t % estimator = ESTIMATOR_ANALOG
-            if (n_order == 0) then
-              t % score_bins(j) = SCORE_NU_SCATTER
-            else
-              t % score_bins(j) = SCORE_NU_SCATTER_N
-            end if
+            t % score_bins(j) = SCORE_NU_SCATTER_N
             t % moment_order(j) = n_order
+            t % estimator = ESTIMATOR_ANALOG
 
           case ('scatter-pn')
             t % estimator = ESTIMATOR_ANALOG
@@ -3135,18 +3560,12 @@ contains
             j = j + n_bins - 1
 
           case('transport')
-            t % score_bins(j) = SCORE_TRANSPORT
-
-            ! Set tally estimator to analog
-            t % estimator = ESTIMATOR_ANALOG
-          case ('diffusion')
-            call fatal_error("Diffusion score no longer supported for tallies, &
+            call fatal_error("Transport score no longer supported for tallies, &
                  &please remove")
-          case ('n1n')
-            t % score_bins(j) = SCORE_N_1N
 
-            ! Set tally estimator to analog
-            t % estimator = ESTIMATOR_ANALOG
+          case ('n1n')
+            call fatal_error("n1n score no longer supported for tallies, &
+                 &please remove")
           case ('n2n', '(n,2n)')
             t % score_bins(j) = N_2N
 
@@ -3162,7 +3581,7 @@ contains
               call fatal_error("Cannot tally absorption rate with an outgoing &
                    &energy filter.")
             end if
-          case ('fission')
+          case ('fission', '18')
             t % score_bins(j) = SCORE_FISSION
             if (t % find_filter(FILTER_ENERGYOUT) > 0) then
               call fatal_error("Cannot tally fission rate with an outgoing &
@@ -3180,6 +3599,12 @@ contains
               ! Set tally estimator to analog
               t % estimator = ESTIMATOR_ANALOG
             end if
+
+            ! Disallow for MG mode since data not present
+            if (.not. run_CE) then
+              call fatal_error("Cannot tally delayed nu-fission rate in &
+                               &multi-group mode")
+            end if
           case ('kappa-fission')
             t % score_bins(j) = SCORE_KAPPA_FISSION
           case ('inverse-velocity')
@@ -3325,16 +3750,24 @@ contains
                 t % score_bins(j) = MT
               else
                 call fatal_error("Invalid MT on <scores>: " &
-                     &// trim(sarray(l)))
+                     // trim(sarray(l)))
               end if
 
             else
               ! Specified score was not an integer
               call fatal_error("Unknown scoring function: " &
-                   &// trim(sarray(l)))
+                   // trim(sarray(l)))
             end if
 
           end select
+
+          ! Do a check at the end (instead of for every case) to make sure
+          ! the tallies are compatible with MG mode where we have less detailed
+          ! nuclear data
+          if (.not. run_CE .and. t % score_bins(j) > 0) then
+            call fatal_error("Cannot tally " // trim(score_name) // &
+                             " reaction rate in multi-group mode")
+          end if
         end do
 
         t % n_score_bins = n_scores
@@ -3342,9 +3775,35 @@ contains
 
         ! Deallocate temporary string array of scores
         deallocate(sarray)
+
+        ! Check that no duplicate scores exist
+        j = 1
+        do while (j < n_scores)
+          ! Determine number of bins for scores with expansions
+          n_order = t % moment_order(j)
+          select case (t % score_bins(j))
+          case (SCORE_SCATTER_PN, SCORE_NU_SCATTER_PN)
+            n_bins = n_order + 1
+          case (SCORE_FLUX_YN, SCORE_TOTAL_YN, SCORE_SCATTER_YN, &
+               SCORE_NU_SCATTER_YN)
+            n_bins = (n_order + 1)**2
+          case default
+            n_bins = 1
+          end select
+
+          do k = j + n_bins, n_scores
+            if (t % score_bins(j) == t % score_bins(k) .and. &
+                 t % moment_order(j) == t % moment_order(k)) then
+              call fatal_error("Duplicate score of type '" // trim(&
+                   reaction_name(t % score_bins(j))) // "' found in tally " &
+                   // trim(to_str(t % id)))
+            end if
+          end do
+          j = j + n_bins
+        end do
       else
         call fatal_error("No <scores> specified on tally " &
-             &// trim(to_str(t % id)) // ".")
+             // trim(to_str(t % id)) // ".")
       end if
 
       ! If settings.xml trigger is turned on, create tally triggers
@@ -3605,7 +4064,7 @@ contains
     inquire(FILE=filename, EXIST=file_exists)
     if (.not. file_exists) then
       call fatal_error("Plots XML file '" // trim(filename) &
-           &// "' does not exist!")
+           // "' does not exist!")
     end if
 
     ! Display output message
@@ -3637,7 +4096,7 @@ contains
       ! Check to make sure 'id' hasn't been used
       if (plot_dict % has_key(pl % id)) then
         call fatal_error("Two or more plots use the same unique ID: " &
-             &// to_str(pl % id))
+             // to_str(pl % id))
       end if
 
       ! Copy plot type
@@ -3652,7 +4111,7 @@ contains
         pl % type = PLOT_TYPE_VOXEL
       case default
         call fatal_error("Unsupported plot type '" // trim(temp_str) &
-             &// "' in plot " // trim(to_str(pl % id)))
+             // "' in plot " // trim(to_str(pl % id)))
       end select
 
       ! Set output file path
@@ -3672,14 +4131,14 @@ contains
           call get_node_array(node_plot, "pixels", pl % pixels(1:2))
         else
           call fatal_error("<pixels> must be length 2 in slice plot " &
-               &// trim(to_str(pl % id)))
+               // trim(to_str(pl % id)))
         end if
       else if (pl % type == PLOT_TYPE_VOXEL) then
         if (get_arraysize_integer(node_plot, "pixels") == 3) then
           call get_node_array(node_plot, "pixels", pl % pixels(1:3))
         else
           call fatal_error("<pixels> must be length 3 in voxel plot " &
-               &// trim(to_str(pl % id)))
+               // trim(to_str(pl % id)))
         end if
       end if
 
@@ -3687,13 +4146,13 @@ contains
       if (check_for_node(node_plot, "background")) then
         if (pl % type == PLOT_TYPE_VOXEL) then
           if (master) call warning("Background color ignored in voxel plot " &
-               &// trim(to_str(pl % id)))
+               // trim(to_str(pl % id)))
         end if
         if (get_arraysize_integer(node_plot, "background") == 3) then
           call get_node_array(node_plot, "background", pl % not_found % rgb)
         else
           call fatal_error("Bad background RGB in plot " &
-               &// trim(to_str(pl % id)))
+               // trim(to_str(pl % id)))
         end if
       else
         pl % not_found % rgb = (/ 255, 255, 255 /)
@@ -3714,7 +4173,7 @@ contains
           pl % basis = PLOT_BASIS_YZ
         case default
           call fatal_error("Unsupported plot basis '" // trim(temp_str) &
-               &// "' in plot " // trim(to_str(pl % id)))
+               // "' in plot " // trim(to_str(pl % id)))
         end select
       end if
 
@@ -3723,7 +4182,7 @@ contains
         call get_node_array(node_plot, "origin", pl % origin)
       else
         call fatal_error("Origin must be length 3 in plot " &
-             &// trim(to_str(pl % id)))
+             // trim(to_str(pl % id)))
       end if
 
       ! Copy plotting width
@@ -3732,14 +4191,14 @@ contains
           call get_node_array(node_plot, "width", pl % width(1:2))
         else
           call fatal_error("<width> must be length 2 in slice plot " &
-               &// trim(to_str(pl % id)))
+               // trim(to_str(pl % id)))
         end if
       else if (pl % type == PLOT_TYPE_VOXEL) then
         if (get_arraysize_double(node_plot, "width") == 3) then
           call get_node_array(node_plot, "width", pl % width(1:3))
         else
           call fatal_error("<width> must be length 3 in voxel plot " &
-               &// trim(to_str(pl % id)))
+               // trim(to_str(pl % id)))
         end if
       end if
 
@@ -3749,7 +4208,7 @@ contains
 
         if (pl % level < 0) then
           call fatal_error("Bad universe level in plot " &
-               &// trim(to_str(pl % id)))
+               // trim(to_str(pl % id)))
         end if
       else
         pl % level = PLOT_LEVEL_LOWEST
@@ -3783,7 +4242,7 @@ contains
 
       case default
         call fatal_error("Unsupported plot color type '" // trim(temp_str) &
-             &// "' in plot " // trim(to_str(pl % id)))
+             // "' in plot " // trim(to_str(pl % id)))
       end select
 
       ! Get the number of <col_spec> nodes and get a list of them
@@ -3806,7 +4265,7 @@ contains
           ! Check and make sure 3 values are specified for RGB
           if (get_arraysize_double(node_col, "rgb") /= 3) then
             call fatal_error("Bad RGB in plot " &
-                 &// trim(to_str(pl % id)))
+                 // trim(to_str(pl % id)))
           end if
 
           ! Ensure that there is an id for this color specification
@@ -3825,7 +4284,7 @@ contains
               call get_node_array(node_col, "rgb", pl % colors(col_id) % rgb)
             else
               call fatal_error("Could not find cell " // trim(to_str(col_id)) &
-                   &// " specified in plot " // trim(to_str(pl % id)))
+                   // " specified in plot " // trim(to_str(pl % id)))
             end if
 
           else if (pl % color_by == PLOT_COLOR_MATS) then
@@ -3835,8 +4294,8 @@ contains
               call get_node_array(node_col, "rgb", pl % colors(col_id) % rgb)
             else
               call fatal_error("Could not find material " &
-                   &// trim(to_str(col_id)) // " specified in plot " &
-                   &// trim(to_str(pl % id)))
+                   // trim(to_str(col_id)) // " specified in plot " &
+                   // trim(to_str(pl % id)))
             end if
 
           end if
@@ -3850,7 +4309,7 @@ contains
 
         if (pl % type == PLOT_TYPE_VOXEL) then
           call warning("Meshlines ignored in voxel plot " &
-               &// trim(to_str(pl % id)))
+               // trim(to_str(pl % id)))
         end if
 
         select case(n_meshlines)
@@ -3884,7 +4343,7 @@ contains
               ! Check and make sure 3 values are specified for RGB
               if (get_arraysize_double(node_meshlines, "color") /= 3) then
                 call fatal_error("Bad RGB for meshlines color in plot " &
-                     &// trim(to_str(pl % id)))
+                     // trim(to_str(pl % id)))
               end if
 
               call get_node_array(node_meshlines, "color", &
@@ -3901,7 +4360,7 @@ contains
 
               if (.not. associated(ufs_mesh)) then
                 call fatal_error("No UFS mesh for meshlines on plot " &
-                     &// trim(to_str(pl % id)))
+                     // trim(to_str(pl % id)))
               end if
 
               pl % meshlines_mesh => ufs_mesh
@@ -3922,7 +4381,7 @@ contains
 
               if (.not. associated(entropy_mesh)) then
                 call fatal_error("No entropy mesh for meshlines on plot " &
-                     &// trim(to_str(pl % id)))
+                     // trim(to_str(pl % id)))
               end if
 
               if (.not. allocated(entropy_mesh % dimension)) then
@@ -3951,18 +4410,18 @@ contains
                 end if
               else
                 call fatal_error("Could not find mesh " &
-                     &// trim(to_str(meshid)) // " specified in meshlines for &
+                     // trim(to_str(meshid)) // " specified in meshlines for &
                      &plot " // trim(to_str(pl % id)))
               end if
 
             case default
               call fatal_error("Invalid type for meshlines on plot " &
-                    &// trim(to_str(pl % id)) // ": " // trim(meshtype))
+                    // trim(to_str(pl % id)) // ": " // trim(meshtype))
             end select
 
           case default
             call fatal_error("Mutliple meshlines specified in plot " &
-                 &// trim(to_str(pl % id)))
+                 // trim(to_str(pl % id)))
         end select
 
       end if
@@ -3974,13 +4433,13 @@ contains
 
         if (pl % type == PLOT_TYPE_VOXEL) then
           if (master) call warning("Mask ignored in voxel plot " &
-               &// trim(to_str(pl % id)))
+               // trim(to_str(pl % id)))
         end if
 
         select case(n_masks)
           case default
             call fatal_error("Mutliple masks specified in plot " &
-                 &// trim(to_str(pl % id)))
+                 // trim(to_str(pl % id)))
           case (1)
 
             ! Get pointer to mask
@@ -3991,7 +4450,7 @@ contains
             n_comp = get_arraysize_integer(node_mask, "components")
             if (n_comp == 0) then
               call fatal_error("Missing <components> in mask of plot " &
-                   &// trim(to_str(pl % id)))
+                   // trim(to_str(pl % id)))
             end if
             allocate(iarray(n_comp))
             call get_node_array(node_mask, "components", iarray)
@@ -4007,7 +4466,7 @@ contains
                   iarray(j) = cell_dict % get_key(col_id)
                 else
                   call fatal_error("Could not find cell " &
-                       &// trim(to_str(col_id)) // " specified in the mask in &
+                       // trim(to_str(col_id)) // " specified in the mask in &
                        &plot " // trim(to_str(pl % id)))
                 end if
 
@@ -4017,7 +4476,7 @@ contains
                   iarray(j) = material_dict % get_key(col_id)
                 else
                   call fatal_error("Could not find material " &
-                       &// trim(to_str(col_id)) // " specified in the mask in &
+                       // trim(to_str(col_id)) // " specified in the mask in &
                        &plot " // trim(to_str(pl % id)))
                 end if
 
@@ -4031,7 +4490,7 @@ contains
                   call get_node_array(node_mask, "background", pl % colors(j) % rgb)
                 else
                   call fatal_error("Missing <background> in mask of plot " &
-                       &// trim(to_str(pl % id)))
+                       // trim(to_str(pl % id)))
                 end if
               end if
             end do
@@ -4053,11 +4512,11 @@ contains
   end subroutine read_plots_xml
 
 !===============================================================================
-! READ_CROSS_SECTIONS_XML reads information from a cross_sections.xml file. This
-! file contains a listing of the ACE cross sections that may be used.
+! READ_*_CROSS_SECTIONS_XML reads information from a cross_sections.xml file. This
+! file contains a listing of the CE and MG cross sections that may be used.
 !===============================================================================
 
-  subroutine read_cross_sections_xml()
+  subroutine read_ce_cross_sections_xml()
 
     integer :: i           ! loop index
     integer :: filetype    ! default file type
@@ -4076,7 +4535,7 @@ contains
     if (.not. file_exists) then
       ! Could not find cross_sections.xml file
       call fatal_error("Cross sections XML file '" &
-           &// trim(path_cross_sections) // "' does not exist!")
+           // trim(path_cross_sections) // "' does not exist!")
     end if
 
     call write_message("Reading cross sections XML file...", 5)
@@ -4106,7 +4565,7 @@ contains
       filetype = ASCII
     else
       call fatal_error("Unknown filetype in cross_sections.xml: " &
-           &// trim(temp_str))
+           // trim(temp_str))
     end if
 
     ! copy default record length and entries for binary files
@@ -4170,7 +4629,7 @@ contains
       end if
 
       ! determine metastable state
-      if (.not.check_for_node(node_ace, "metastable")) then
+      if (.not. check_for_node(node_ace, "metastable")) then
         listing % metastable = .false.
       else
         listing % metastable = .true.
@@ -4204,15 +4663,134 @@ contains
     do i = 1, n_res_scatterers_total
       if (.not. xs_listing_dict % has_key(trim(nuclides_0K(i) % name_0K))) then
         call fatal_error("Could not find nuclide " &
-             &// trim(nuclides_0K(i) % name_0K) &
-             &// " in cross_sections.xml file!")
+             // trim(nuclides_0K(i) % name_0K) &
+             // " in cross_sections.xml file!")
       end if
     end do
 
     ! Close cross sections XML file
     call close_xmldoc(doc)
 
-  end subroutine read_cross_sections_xml
+  end subroutine read_ce_cross_sections_xml
+
+  subroutine read_mg_cross_sections_xml()
+
+    integer :: i           ! loop index
+    logical :: file_exists ! does mgxs.xml exist?
+    type(XsListing), pointer :: listing => null()
+    type(Node), pointer :: doc => null()
+    type(Node), pointer :: node_xsdata => null()
+    type(NodeList), pointer :: node_xsdata_list => null()
+    real(8), allocatable :: rev_energy_bins(:)
+
+    ! Check if mgxs.xml exists
+    inquire(FILE=path_cross_sections, EXIST=file_exists)
+    if (.not. file_exists) then
+      ! Could not find mgxs.xml file
+      call fatal_error("Cross sections XML file '" &
+           // trim(path_cross_sections) // "' does not exist!")
+    end if
+
+    call write_message("Reading cross sections XML file...", 5)
+
+    ! Parse mgxs.xml file
+    call open_xmldoc(doc, path_cross_sections)
+
+    if (check_for_node(doc, "groups")) then
+      ! Get neutron group count
+      call get_node_value(doc, "groups", energy_groups)
+    else
+      call fatal_error("groups element must exist!")
+    end if
+
+    allocate(rev_energy_bins(energy_groups + 1))
+    allocate(energy_bins(energy_groups + 1))
+    if (check_for_node(doc, "group_structure")) then
+      ! Get neutron group structure
+      call get_node_array(doc, "group_structure", energy_bins)
+    else
+      call fatal_error("group_structures element must exist!")
+    end if
+
+    ! First reverse the order of energy_groups
+    energy_bins = energy_bins(energy_groups + 1:1:-1)
+
+    allocate(energy_bin_avg(energy_groups))
+    do i = 1, energy_groups
+      energy_bin_avg(i) = HALF * (energy_bins(i) + energy_bins(i + 1))
+    end do
+
+    allocate(inverse_velocities(energy_groups))
+    if (check_for_node(doc, "inverse_velocities")) then
+      ! Get inverse velocities
+      call get_node_array(doc, "inverse_velocities", inverse_velocities)
+    else
+      ! If not given, estimate them by using average energy in group which is
+      ! assumed to be the midpoint
+      do i = 1, energy_groups
+        inverse_velocities(i) = ONE / &
+             (sqrt(TWO * energy_bin_avg(i) / (MASS_NEUTRON_MEV)) * &
+              C_LIGHT * 100.0_8)
+      end do
+    end if
+
+    ! Get node list of all <xsdata>
+    call get_node_list(doc, "xsdata", node_xsdata_list)
+    n_listings = get_list_size(node_xsdata_list)
+
+    ! Allocate xs_listings array
+    if (n_listings == 0) then
+      call fatal_error("At least one <xsdata> element must be present in &
+                       &mgxs.xml file!")
+    else
+      allocate(xs_listings(n_listings))
+    end if
+
+    do i = 1, n_listings
+      listing => xs_listings(i)
+
+      ! Get pointer to xsdata table XML node
+      call get_list_item(node_xsdata_list, i, node_xsdata)
+
+      ! copy a number of attributes
+      call get_node_value(node_xsdata, "name", listing % name)
+      listing % name = to_lower(listing % name)
+      listing % alias = listing % name
+      if (check_for_node(node_xsdata, "alias")) &
+           call get_node_value(node_xsdata, "alias", listing % alias)
+      listing % alias = to_lower(listing % alias)
+      if (check_for_node(node_xsdata, "zaid")) then
+        call get_node_value(node_xsdata, "zaid", listing % zaid)
+      else
+        listing % zaid = -1
+      end if
+      if (check_for_node(node_xsdata, "awr")) then
+        call get_node_value(node_xsdata, "awr", listing % awr)
+      else
+        ! Set to a default of 1; this allows a macroscopic library to still
+        ! be used with materials with atom/b-cm units for testing purposes
+        listing % awr = ONE
+      end if
+      if (check_for_node(node_xsdata, "kT")) then
+        call get_node_value(node_xsdata, "kT", listing % kT)
+      else
+        listing % kT = 293.6_8 * K_BOLTZMANN
+      end if
+
+      ! determine type of cross section
+      if (ends_with(listing % name, 'c')) then
+        listing % type = NEUTRON
+      end if
+
+      ! create dictionary entry for both name and alias
+      call xs_listing_dict % add_key(to_lower(listing % name), i)
+      call xs_listing_dict % add_key(to_lower(listing % alias), i)
+    end do
+
+    ! Close cross sections XML file
+    call close_xmldoc(doc)
+
+  end subroutine read_mg_cross_sections_xml
 
 !===============================================================================
 ! EXPAND_NATURAL_ELEMENT converts natural elements specified using an <element>
diff --git a/src/interpolation.F90 b/src/interpolation.F90
deleted file mode 100644
index 9e28bc086e..0000000000
--- a/src/interpolation.F90
+++ /dev/null
@@ -1,206 +0,0 @@
-module interpolation
-
-  use constants
-  use endf_header, only: Tab1
-  use error,       only: fatal_error
-  use search,      only: binary_search
-  use string,      only: to_str
-
-  implicit none
-
-  interface interpolate_tab1
-    module procedure interpolate_tab1_array, interpolate_tab1_object
-  end interface interpolate_tab1
-
-contains
-
-!===============================================================================
-! INTERPOLATE_TAB1_ARRAY interpolates a function between two points based on
-! particular interpolation scheme. The data needs to be organized as a ENDF TAB1
-! type function containing the interpolation regions, break points, and
-! tabulated x's and y's.
-!===============================================================================
-
-  pure function interpolate_tab1_array(data, x, loc_start) result(y)
-
-    real(8), intent(in)           :: data(:)   ! array of data
-    real(8), intent(in)           :: x         ! x value to find y at
-    integer, intent(in), optional :: loc_start ! starting location in data
-    real(8)                       :: y         ! y(x)
-
-    integer :: i               ! bin in which to interpolate
-    integer :: j               ! index for interpolation region
-    integer :: loc_0           ! starting location
-    integer :: n_regions       ! number of interpolation regions
-    integer :: n_points        ! number of tabulated values
-    integer :: interp          ! ENDF interpolation scheme
-    integer :: loc_breakpoints ! location of breakpoints in data
-    integer :: loc_interp      ! location of interpolation schemes in data
-    integer :: loc_x           ! location of x's in data
-    integer :: loc_y           ! location of y's in data
-    real(8) :: r               ! interpolation factor
-    real(8) :: x0, x1          ! bounding x values
-    real(8) :: y0, y1          ! bounding y values
-
-    ! determine starting location
-    if (present(loc_start)) then
-      loc_0 = loc_start - 1
-    else
-      loc_0 = 0
-    end if
-
-    ! determine number of interpolation regions
-    n_regions = int(data(loc_0 + 1))
-
-    ! set locations for breakpoints and interpolation schemes
-    loc_breakpoints = loc_0 + 1
-    loc_interp      = loc_breakpoints + n_regions
-
-    ! determine number of tabulated values
-    n_points  = int(data(loc_interp + n_regions + 1))
-
-    ! set locations for x's and y's
-    loc_x = loc_interp + n_regions + 1
-    loc_y = loc_x + n_points
-
-    ! find which bin the abscissa is in -- if the abscissa is outside the
-    ! tabulated range, the first or last point is chosen, i.e. no interpolation
-    ! is done outside the energy range
-    if (x < data(loc_x + 1)) then
-      y = data(loc_y + 1)
-      return
-    elseif (x > data(loc_x + n_points)) then
-      y = data(loc_y + n_points)
-      return
-    else
-      i = binary_search(data(loc_x + 1:loc_x + n_points), n_points, x)
-    end if
-
-    ! determine interpolation scheme
-    if (n_regions == 0) then
-      interp = LINEAR_LINEAR
-    elseif (n_regions == 1) then
-      interp = int(data(loc_interp + 1))
-    elseif (n_regions > 1) then
-      do j = 1, n_regions
-        if (i < data(loc_breakpoints + j)) then
-          interp = int(data(loc_interp + j))
-          exit
-        end if
-      end do
-    end if
-
-    ! handle special case of histogram interpolation
-    if (interp == HISTOGRAM) then
-      y = data(loc_y + i)
-      return
-    end if
-
-    ! determine bounding values
-    x0 = data(loc_x + i)
-    x1 = data(loc_x + i + 1)
-    y0 = data(loc_y + i)
-    y1 = data(loc_y + i + 1)
-
-    ! determine interpolation factor and interpolated value
-    select case (interp)
-    case (LINEAR_LINEAR)
-      r = (x - x0)/(x1 - x0)
-      y = y0 + r*(y1 - y0)
-    case (LINEAR_LOG)
-      r = log(x/x0)/log(x1/x0)
-      y = y0 + r*(y1 - y0)
-    case (LOG_LINEAR)
-      r = (x - x0)/(x1 - x0)
-      y = y0*exp(r*log(y1/y0))
-    case (LOG_LOG)
-      r = log(x/x0)/log(x1/x0)
-      y = y0*exp(r*log(y1/y0))
-    end select
-
-  end function interpolate_tab1_array
-
-!===============================================================================
-! INTERPOLATE_TAB1_OBJECT interpolates a function between two points based on
-! particular interpolation scheme. The data needs to be organized as a ENDF TAB1
-! type function containing the interpolation regions, break points, and
-! tabulated x's and y's.
-!===============================================================================
-
-  pure function interpolate_tab1_object(obj, x) result(y)
-
-    type(Tab1), intent(in) :: obj ! ENDF Tab1 interpolable function
-    real(8),    intent(in) :: x   ! x value to find y at
-    real(8)                :: y   ! y(x)
-
-    integer :: i               ! bin in which to interpolate
-    integer :: j               ! index for interpolation region
-    integer :: n_regions       ! number of interpolation regions
-    integer :: n_pairs         ! number of tabulated values
-    integer :: interp          ! ENDF interpolation scheme
-    real(8) :: r               ! interpolation factor
-    real(8) :: x0, x1          ! bounding x values
-    real(8) :: y0, y1          ! bounding y values
-
-    ! determine number of interpolation regions and pairs
-    n_regions = obj % n_regions
-    n_pairs   = obj % n_pairs
-
-    ! find which bin the abscissa is in -- if the abscissa is outside the
-    ! tabulated range, the first or last point is chosen, i.e. no interpolation
-    ! is done outside the energy range
-    if (x < obj % x(1)) then
-      y = obj % y(1)
-      return
-    elseif (x > obj % x(n_pairs)) then
-      y = obj % y(n_pairs)
-      return
-    else
-      i = binary_search(obj % x, n_pairs, x)
-    end if
-
-    ! determine interpolation scheme
-    if (n_regions == 0) then
-      interp = LINEAR_LINEAR
-    elseif (n_regions == 1) then
-      interp = obj % int(1)
-    elseif (n_regions > 1) then
-      do j = 1, n_regions
-        if (i < obj % nbt(j)) then
-          interp = obj % int(j)
-          exit
-        end if
-      end do
-    end if
-
-    ! handle special case of histogram interpolation
-    if (interp == HISTOGRAM) then
-      y = obj % y(i)
-      return
-    end if
-
-    ! determine bounding values
-    x0 = obj % x(i)
-    x1 = obj % x(i + 1)
-    y0 = obj % y(i)
-    y1 = obj % y(i + 1)
-
-    ! determine interpolation factor and interpolated value
-    select case (interp)
-    case (LINEAR_LINEAR)
-      r = (x - x0)/(x1 - x0)
-      y = y0 + r*(y1 - y0)
-    case (LINEAR_LOG)
-      r = log(x/x0)/log(x1/x0)
-      y = y0 + r*(y1 - y0)
-    case (LOG_LINEAR)
-      r = (x - x0)/(x1 - x0)
-      y = y0*exp(r*log(y1/y0))
-    case (LOG_LOG)
-      r = log(x/x0)/log(x1/x0)
-      y = y0*exp(r*log(y1/y0))
-    end select
-
-  end function interpolate_tab1_object
-
-end module interpolation
diff --git a/src/math.F90 b/src/math.F90
index 15aa672e15..3ab8195aa0 100644
--- a/src/math.F90
+++ b/src/math.F90
@@ -2,9 +2,25 @@ module math
 
   use constants
   use random_lcg, only: prn
+  use ISO_C_BINDING
 
   implicit none
 
+!===============================================================================
+! FADDEEVA_W evaluates the scaled complementary error function.  This
+! interfaces with the MIT C library
+!===============================================================================
+
+  interface
+    function faddeeva_w(z, relerr) bind(C, name='Faddeeva_w') result(w)
+      use ISO_C_BINDING
+      implicit none
+      complex(C_DOUBLE_COMPLEX), value :: z
+      real(C_DOUBLE),            value :: relerr
+      complex(C_DOUBLE_COMPLEX)        :: w
+    end function faddeeva_w
+  end interface
+
 contains
 
 !===============================================================================
@@ -557,6 +573,103 @@ contains
 
   end function calc_rn
 
+!===============================================================================
+! EXPAND_HARMONIC expands a given series of real spherical harmonics
+!===============================================================================
+
+  pure function expand_harmonic(data, order, uvw) result(val)
+    real(8), intent(in) :: data(:)
+    integer, intent(in) :: order
+    real(8), intent(in) :: uvw(3)
+    real(8)             :: val
+
+    integer :: l, lm_lo, lm_hi
+
+    val = data(1)
+    lm_lo = 2
+    lm_hi = 4
+    do l = 1, order - 1
+      val = val + sqrt(TWO * real(l,8) + ONE) * &
+           dot_product(calc_rn(l,uvw), data(lm_lo:lm_hi))
+      lm_lo = lm_hi + 1
+      lm_hi = lm_lo + 2 * (l + 1)
+    end do
+
+  end function expand_harmonic
+
+!===============================================================================
+! EVALUATE_LEGENDRE Find the value of f(x) given a set of Legendre coefficients
+! and the value of x
+!===============================================================================
+
+  pure function evaluate_legendre(data, x) result(val)
+    real(8), intent(in) :: data(:)
+    real(8), intent(in) :: x
+    real(8)             :: val
+
+    integer :: l
+
+    val =  HALF * data(1)
+    do l = 1, size(data) - 1
+      val = val + (real(l,8) +  HALF) * data(l + 1) * calc_pn(l,x)
+    end do
+
+  end function evaluate_legendre
+
+!===============================================================================
+! ROTATE_ANGLE rotates direction cosines through a polar angle whose cosine is
+! mu and through an azimuthal angle sampled uniformly. Note that this is done
+! with direct sampling rather than rejection as is done in MCNP and SERPENT.
+!===============================================================================
+
+  function rotate_angle(uvw0, mu, phi) result(uvw)
+    real(8), intent(in) :: uvw0(3) ! directional cosine
+    real(8), intent(in) :: mu      ! cosine of angle in lab or CM
+    real(8), optional   :: phi     ! azimuthal angle
+    real(8)             :: uvw(3)  ! rotated directional cosine
+
+    real(8) :: phi_   ! azimuthal angle
+    real(8) :: sinphi ! sine of azimuthal angle
+    real(8) :: cosphi ! cosine of azimuthal angle
+    real(8) :: a      ! sqrt(1 - mu^2)
+    real(8) :: b      ! sqrt(1 - w^2)
+    real(8) :: u0     ! original cosine in x direction
+    real(8) :: v0     ! original cosine in y direction
+    real(8) :: w0     ! original cosine in z direction
+
+    ! Copy original directional cosines
+    u0 = uvw0(1)
+    v0 = uvw0(2)
+    w0 = uvw0(3)
+
+    ! Sample azimuthal angle in [0,2pi) if none provided
+    if (present(phi)) then
+      phi_ = phi
+    else
+      phi_ = TWO * PI * prn()
+    end if
+
+    ! Precompute factors to save flops
+    sinphi = sin(phi_)
+    cosphi = cos(phi_)
+    a = sqrt(max(ZERO, ONE - mu*mu))
+    b = sqrt(max(ZERO, ONE - w0*w0))
+
+    ! Need to treat special case where sqrt(1 - w**2) is close to zero by
+    ! expanding about the v component rather than the w component
+    if (b > 1e-10) then
+      uvw(1) = mu*u0 + a*(u0*w0*cosphi - v0*sinphi)/b
+      uvw(2) = mu*v0 + a*(v0*w0*cosphi + u0*sinphi)/b
+      uvw(3) = mu*w0 - a*b*cosphi
+    else
+      b = sqrt(ONE - v0*v0)
+      uvw(1) = mu*u0 + a*(u0*v0*cosphi + w0*sinphi)/b
+      uvw(2) = mu*v0 - a*b*cosphi
+      uvw(3) = mu*w0 + a*(v0*w0*cosphi - u0*sinphi)/b
+    end if
+
+  end function rotate_angle
+
 !===============================================================================
 ! MAXWELL_SPECTRUM samples an energy from the Maxwell fission distribution based
 ! on a direct sampling scheme. The probability distribution function for a
@@ -605,4 +718,96 @@ contains
 
   end function watt_spectrum
 
+!===============================================================================
+! FADDEEVA the Faddeeva function, using Stephen Johnson's implementation
+!===============================================================================
+
+  function faddeeva(z) result(wv)
+    complex(C_DOUBLE_COMPLEX), intent(in) :: z ! The point to evaluate Z at
+    complex(8)     :: wv     ! The resulting w(z) value
+    real(C_DOUBLE) :: relerr ! Target relative error in inner loop of MIT
+                             !  Faddeeva
+
+    ! Technically, the value we want is given by the equation:
+    ! w(z) = I/Pi * Integrate[Exp[-t^2]/(z-t), {t, -Infinity, Infinity}]
+    ! as shown in Equation 63 from Hwang, R. N. "A rigorous pole
+    ! representation of multilevel cross sections and its practical
+    ! applications." Nuclear Science and Engineering 96.3 (1987): 192-209.
+    !
+    ! The MIT Faddeeva function evaluates w(z) = exp(-z^2)erfc(-iz). These
+    ! two forms of the Faddeeva function are related by a transformation.
+    !
+    ! If we call the integral form w_int, and the function form w_fun:
+    ! For imag(z) > 0, w_int(z) = w_fun(z)
+    ! For imag(z) < 0, w_int(z) = -conjg(w_fun(conjg(z)))
+
+    ! Note that faddeeva_w will interpret zero as machine epsilon
+
+    relerr = ZERO
+    if (aimag(z) > ZERO) then
+      wv = faddeeva_w(z, relerr)
+    else
+      wv = -conjg(faddeeva_w(conjg(z), relerr))
+    end if
+
+  end function faddeeva
+
+!===============================================================================
+! BROADEN_WMP_POLYNOMIALS Doppler broadens the windowed multipole curvefit.  The
+! curvefit is a polynomial of the form
+! a/En + b/sqrt(En) + c + d sqrt(En) ...
+!===============================================================================
+
+  subroutine broaden_wmp_polynomials(En, dopp, n, factors)
+    real(8), intent(in) :: En         ! Energy to evaluate at
+    real(8), intent(in) :: dopp       ! sqrt(atomic weight ratio / kT),
+                                      !  kT given in eV.
+    integer, intent(in) :: n          ! number of components to polynomial
+    real(8), intent(out):: factors(n) ! output leading coefficient
+
+    integer :: i
+
+    real(8) :: sqrtE               ! sqrt(energy)
+    real(8) :: beta                ! sqrt(atomic weight ratio * E / kT)
+    real(8) :: half_inv_dopp2      ! 0.5 / dopp**2
+    real(8) :: quarter_inv_dopp4   ! 0.25 / dopp**4
+    real(8) :: erfbeta             ! error function of beta
+    real(8) :: exp_m_beta2         ! exp(-beta**2)
+
+    sqrtE = sqrt(En)
+    beta = sqrtE * dopp
+    half_inv_dopp2 = HALF / dopp**2
+    quarter_inv_dopp4 = half_inv_dopp2**2
+
+    if (beta > 6.0_8) then
+      ! Save time, ERF(6) is 1 to machine precision.
+      ! beta/sqrtpi*exp(-beta**2) is also approximately 1 machine epsilon.
+      erfBeta = ONE
+      exp_m_beta2 = ZERO
+    else
+      erfBeta = erf(beta)
+      exp_m_beta2 = exp(-beta**2)
+    end if
+
+    ! Assume that, for sure, we'll use a second order (1/E, 1/V, const)
+    ! fit, and no less.
+
+    factors(1) = erfbeta / En
+    factors(2) = ONE / sqrtE
+    factors(3) = factors(1) * (half_inv_dopp2 + En) &
+         + exp_m_beta2 / (beta * SQRT_PI)
+
+    ! Perform recursive broadening of high order components
+    do i = 1, n-3
+      if (i /= 1) then
+        factors(i+3) = -factors(i-1) * (i - ONE) * i * quarter_inv_dopp4 &
+             + factors(i+1) * (En + (ONE + TWO * i) * half_inv_dopp2)
+      else
+        ! Although it's mathematically identical, factors(0) will contain
+        ! nothing, and we don't want to have to worry about memory.
+        factors(i+3) = factors(i+1)*(En + (ONE + TWO * i) * half_inv_dopp2)
+      end if
+    end do
+  end subroutine broaden_wmp_polynomials
+
 end module math
diff --git a/src/mesh.F90 b/src/mesh.F90
index 905772eb05..4ec84345ba 100644
--- a/src/mesh.F90
+++ b/src/mesh.F90
@@ -3,7 +3,6 @@ module mesh
   use constants
   use global
   use mesh_header
-  use particle_header, only: Particle
   use search,          only: binary_search
 
 #ifdef MPI
@@ -160,10 +159,10 @@ contains
        sites_outside)
 
     type(RegularMesh), pointer :: m             ! mesh to count sites
-    type(Bank), intent(in)        :: bank_array(:) ! fission or source bank
-    real(8),    intent(out)       :: cnt(:,:,:,:)  ! weight of sites in each
+    type(Bank), intent(in)     :: bank_array(:) ! fission or source bank
+    real(8),    intent(out)    :: cnt(:,:,:,:)  ! weight of sites in each
     ! cell and energy group
-    real(8), intent(in), optional :: energies(:)   ! energy grid to search
+    real(8), intent(in),    optional :: energies(:)   ! energy grid to search
     integer(8), intent(in), optional :: size_bank     ! # of bank sites (on each proc)
     logical, intent(inout), optional :: sites_outside ! were there sites outside mesh?
 
diff --git a/src/mgxs_data.F90 b/src/mgxs_data.F90
new file mode 100644
index 0000000000..38d6ebc6c5
--- /dev/null
+++ b/src/mgxs_data.F90
@@ -0,0 +1,192 @@
+module mgxs_data
+
+use constants
+  use error,           only: fatal_error
+  use global
+  use material_header, only: Material
+  use mgxs_header
+  use output,          only: write_message
+  use set_header,      only: SetChar
+  use string,          only: to_lower
+  use xml_interface
+
+  implicit none
+
+contains
+
+!===============================================================================
+! READ_XS reads all the cross sections for the problem and stores them in
+! nuclides and sab_tables arrays
+!===============================================================================
+
+  subroutine read_mgxs()
+
+    integer :: i            ! index in materials array
+    integer :: j            ! index over nuclides in material
+    integer :: i_listing    ! index in xs_listings array
+    integer :: i_nuclide    ! index in nuclides
+    character(12)  :: name  ! name of isotope, e.g. 92235.03c
+    character(12)  :: alias ! alias of isotope, e.g. U-235.03c
+    integer :: representation ! Data representation
+    type(Material),    pointer :: mat
+    type(SetChar) :: already_read
+    type(Node), pointer :: doc => null()
+    type(Node), pointer :: node_xsdata
+    type(NodeList), pointer :: node_xsdata_list => null()
+    logical :: file_exists
+    character(MAX_LINE_LEN) :: temp_str
+    logical :: get_kfiss, get_fiss
+    integer :: l
+
+    ! Check if cross_sections.xml exists
+    inquire(FILE=path_cross_sections, EXIST=file_exists)
+    if (.not. file_exists) then
+      ! Could not find cross_sections.xml file
+      call fatal_error("Cross sections XML file '" &
+           &// trim(path_cross_sections) // "' does not exist!")
+    end if
+
+    call write_message("Loading Cross Section Data...", 5)
+
+    ! Parse cross_sections.xml file
+    call open_xmldoc(doc, path_cross_sections)
+
+    ! Get node list of all <xsdata>
+    call get_node_list(doc, "xsdata", node_xsdata_list)
+    n_listings = get_list_size(node_xsdata_list)
+
+    ! allocate arrays for ACE table storage and cross section cache
+    allocate(nuclides_MG(n_nuclides_total))
+!$omp parallel
+    allocate(micro_xs(n_nuclides_total))
+!$omp end parallel
+
+    ! Find out if we need fission & kappa fission
+    ! (i.e., are there any SCORE_FISSION or SCORE_KAPPA_FISSION tallies?)
+    get_kfiss = .false.
+    get_fiss  = .false.
+    do i = 1, n_tallies
+      do l = 1, tallies(i) % n_score_bins
+        if (tallies(i) % score_bins(l) == SCORE_KAPPA_FISSION) then
+          get_kfiss = .true.
+        end if
+        if (tallies(i) % score_bins(l) == SCORE_FISSION .or. &
+             tallies(i) % score_bins(l) == SCORE_NU_FISSION) then
+          get_fiss = .true.
+        end if
+      end do
+      if (get_kfiss .and. get_fiss) exit
+    end do
+
+    ! ==========================================================================
+    ! READ ALL ACE CROSS SECTION TABLES
+
+    ! Loop over all files
+    MATERIAL_LOOP: do i = 1, n_materials
+      mat => materials(i)
+
+      NUCLIDE_LOOP: do j = 1, mat % n_nuclides
+        name = mat % names(j)
+
+        if (.not. already_read % contains(name)) then
+          i_listing = xs_listing_dict % get_key(to_lower(name))
+          i_nuclide = mat % nuclide(j)
+          name  = xs_listings(i_listing) % name
+          alias = xs_listings(i_listing) % alias
+
+          ! Get pointer to xsdata table XML node
+          call get_list_item(node_xsdata_list, i_listing, node_xsdata)
+
+          call write_message("Loading " // trim(name) // " Data...", 5)
+
+          ! First find out the data representation
+          if (check_for_node(node_xsdata, "representation")) then
+            call get_node_value(node_xsdata, "representation", temp_str)
+            temp_str = trim(to_lower(temp_str))
+            if (temp_str == 'isotropic' .or. temp_str == 'iso') then
+              representation = MGXS_ISOTROPIC
+            else if (temp_str == 'angle') then
+              representation = MGXS_ANGLE
+            else
+              call fatal_error("Invalid Data Representation!")
+            end if
+          else
+            ! Default to isotropic representation
+            representation = MGXS_ISOTROPIC
+          end if
+
+          ! Now allocate accordingly
+          select case(representation)
+          case(MGXS_ISOTROPIC)
+            allocate(MgxsIso :: nuclides_MG(i_nuclide) % obj)
+          case(MGXS_ANGLE)
+            allocate(MgxsAngle :: nuclides_MG(i_nuclide) % obj)
+          end select
+
+          ! Now read in the data specific to the type we just declared
+          call nuclides_MG(i_nuclide) % obj % init_file(node_xsdata, &
+               energy_groups, get_kfiss, get_fiss, max_order, i_listing)
+
+          ! Add name and alias to dictionary
+          call already_read % add(name)
+          call already_read % add(alias)
+        end if
+      end do NUCLIDE_LOOP
+    end do MATERIAL_LOOP
+
+    ! Avoid some valgrind leak errors
+    call already_read % clear()
+
+    ! Loop around material
+    MATERIAL_LOOP3: do i = 1, n_materials
+
+      ! Get material
+      mat => materials(i)
+
+      ! Loop around nuclides in material
+      NUCLIDE_LOOP2: do j = 1, mat % n_nuclides
+        ! Is this fissionable?
+        if (nuclides_MG(mat % nuclide(j)) % obj % fissionable) then
+          mat % fissionable = .true.
+        end if
+        if (mat % fissionable) then
+          exit NUCLIDE_LOOP2
+        end if
+
+      end do NUCLIDE_LOOP2
+    end do MATERIAL_LOOP3
+
+  end subroutine read_mgxs
+
+!===============================================================================
+! CREATE_MACRO_XS generates the macroscopic x/s from the microscopic input data
+!===============================================================================
+
+  subroutine create_macro_xs()
+    integer :: i_mat ! index in materials array
+    type(Material), pointer :: mat ! current material
+    integer :: scatt_type
+
+    allocate(macro_xs(n_materials))
+
+    do i_mat = 1, n_materials
+      mat => materials(i_mat)
+
+      ! Check to see how our nuclides are represented
+      ! Force all to be the same type
+      ! Therefore type(nuclides(mat % nuclide(1)) % obj) dictates type(macroxs)
+      ! At the same time, we will find the scattering type, as that will dictate
+      ! how we allocate the scatter object within macroxs
+      scatt_type = nuclides_MG(mat % nuclide(1)) % obj % scatt_type
+      select type(nuc => nuclides_MG(mat % nuclide(1)) % obj)
+      type is (MgxsIso)
+        allocate(MgxsIso :: macro_xs(i_mat) % obj)
+      type is (MgxsAngle)
+        allocate(MgxsAngle :: macro_xs(i_mat) % obj)
+      end select
+      call macro_xs(i_mat) % obj % combine(mat, nuclides_MG, energy_groups, &
+                                           max_order, scatt_type, i_mat)
+    end do
+  end subroutine create_macro_xs
+
+end module mgxs_data
\ No newline at end of file
diff --git a/src/mgxs_header.F90 b/src/mgxs_header.F90
new file mode 100644
index 0000000000..753f4e1498
--- /dev/null
+++ b/src/mgxs_header.F90
@@ -0,0 +1,1942 @@
+module mgxs_header
+
+  use constants,       only: MAX_FILE_LEN, ZERO, ONE, TWO, PI
+  use error,           only: fatal_error
+  use, intrinsic :: ISO_FORTRAN_ENV,      only: OUTPUT_UNIT
+  use list_header,     only: ListInt
+  use material_header, only: material
+  use math,            only: calc_pn, calc_rn, expand_harmonic, &
+                             evaluate_legendre
+  use nuclide_header,  only: MaterialMacroXS
+  use random_lcg,      only: prn
+  use scattdata_header
+  use string
+  use xml_interface
+
+!===============================================================================
+! MGXS contains the base mgxs data for a nuclide/material
+!===============================================================================
+
+  type, abstract :: Mgxs
+    character(len=104) :: name    ! name of dataset, e.g. 92235.03c
+    integer            :: zaid    ! Z and A identifier, e.g. 92235
+    real(8)            :: awr     ! Atomic Weight Ratio
+    integer            :: listing ! index in xs_listings
+    real(8)            :: kT      ! temperature in MeV (k*T)
+
+    ! Fission information
+    logical :: fissionable   ! mgxs object is fissionable?
+    integer :: scatt_type    ! either legendre, histogram, or tabular.
+
+  contains
+    procedure(mgxs_init_file_), deferred :: init_file ! Initialize the data
+    procedure(mgxs_print_),    deferred  :: print     ! Writes object info
+    procedure(mgxs_get_xs_),   deferred  :: get_xs    ! Get the requested xs
+    procedure(mgxs_combine_),  deferred  :: combine   ! initializes object
+    ! Sample the outgoing energy from a fission event
+    procedure(mgxs_sample_fission_), deferred :: sample_fission_energy
+    ! Sample the outgoing energy and angle from a scatter event
+    procedure(mgxs_sample_scatter_), deferred :: sample_scatter
+    ! Calculate the material specific MGXS data from the nuclides
+    procedure(mgxs_calculate_xs_), deferred   :: calculate_xs
+  end type Mgxs
+
+!===============================================================================
+! MGXSCONTAINER pointer array for storing Nuclides
+!===============================================================================
+
+  type MgxsContainer
+    class(Mgxs), pointer :: obj
+  end type MgxsContainer
+
+!===============================================================================
+! Interfaces for MGXS
+!===============================================================================
+
+  abstract interface
+    subroutine mgxs_init_file_(this,node_xsdata,groups,get_kfiss,get_fiss, &
+                               max_order,i_listing)
+      import Mgxs, Node
+      class(Mgxs), intent(inout)      :: this        ! Working Object
+      type(Node), pointer, intent(in) :: node_xsdata ! Data from MGXS xml
+      integer, intent(in)             :: groups      ! Number of Energy groups
+      logical, intent(in)             :: get_kfiss   ! Need Kappa-Fission?
+      logical, intent(in)             :: get_fiss    ! Should we get fiss data?
+      integer, intent(in)             :: max_order   ! Maximum requested order
+      integer, intent(in)             :: i_listing   ! Index of listings array
+    end subroutine mgxs_init_file_
+
+    subroutine mgxs_print_(this, unit)
+      import Mgxs
+      class(Mgxs),intent(in)     :: this
+      integer, optional, intent(in) :: unit
+    end subroutine mgxs_print_
+
+    pure function mgxs_get_xs_(this,xstype,gin,gout,uvw,mu) result(xs)
+      import Mgxs
+      class(Mgxs), intent(in)       :: this
+      character(*), intent(in)      :: xstype ! Cross Section Type
+      integer, intent(in)           :: gin    ! Incoming Energy group
+      integer, optional, intent(in) :: gout   ! Outgoing Group
+      real(8), optional, intent(in) :: uvw(3) ! Requested Angle
+      real(8), optional, intent(in) :: mu     ! Change in angle
+      real(8)                       :: xs     ! Resultant xs
+    end function mgxs_get_xs_
+
+    pure function mgxs_calc_f_(this,gin,gout,mu,uvw,iazi,ipol) result(f)
+      import Mgxs
+      class(Mgxs), intent(in)       :: this
+      integer, intent(in)           :: gin   ! Incoming Energy Group
+      integer, intent(in)           :: gout  ! Outgoing Energy Group
+      real(8), intent(in)           :: mu    ! Angle of interest
+      real(8), intent(in), optional :: uvw(3) ! Direction vector
+      integer, intent(in), optional :: iazi ! Incoming Energy Group
+      integer, intent(in), optional :: ipol ! Outgoing Energy Group
+      real(8)                       :: f     ! Return value of f(mu)
+
+    end function mgxs_calc_f_
+
+    subroutine mgxs_combine_(this,mat,nuclides,groups,max_order,scatt_type, &
+                             i_listing)
+      import Mgxs, Material, MgxsContainer
+      class(Mgxs),           intent(inout) :: this ! The Mgxs to initialize
+      type(Material), pointer,  intent(in) :: mat  ! base material
+      type(MgxsContainer), intent(in)      :: nuclides(:) ! List of nuclides to harvest from
+      integer, intent(in)                  :: groups     ! Number of E groups
+      integer, intent(in)                  :: max_order  ! Maximum requested order
+      integer, intent(in)                  :: scatt_type ! Legendre or Tabular Scatt?
+      integer, intent(in)                  :: i_listing  ! Index in listings
+    end subroutine mgxs_combine_
+
+    function mgxs_sample_fission_(this, gin, uvw) result(gout)
+      import Mgxs
+      class(Mgxs), intent(in) :: this   ! Data to work with
+      integer, intent(in)     :: gin    ! Incoming energy group
+      real(8), intent(in)     :: uvw(3) ! Particle Direction
+      integer                 :: gout   ! Sampled outgoing group
+
+    end function mgxs_sample_fission_
+
+    subroutine mgxs_sample_scatter_(this, uvw, gin, gout, mu, wgt)
+      import Mgxs
+      class(Mgxs),    intent(in)    :: this
+      real(8),        intent(in)    :: uvw(3) ! Incoming neutron direction
+      integer,        intent(in)    :: gin    ! Incoming neutron group
+      integer,        intent(out)   :: gout   ! Sampled outgoin group
+      real(8),        intent(out)   :: mu     ! Sampled change in angle
+      real(8),        intent(inout) :: wgt    ! Particle weight
+    end subroutine mgxs_sample_scatter_
+
+    subroutine mgxs_calculate_xs_(this, gin, uvw, xs)
+      import Mgxs, MaterialMacroXS
+      class(Mgxs),           intent(in)    :: this
+      integer,               intent(in)    :: gin    ! Incoming neutron group
+      real(8),               intent(in)    :: uvw(3) ! Incoming neutron direction
+      type(MaterialMacroXS), intent(inout) :: xs     ! Resultant Mgxs Data
+    end subroutine mgxs_calculate_xs_
+  end interface
+
+!===============================================================================
+! MGXSISO contains the base MGXS data specifically for
+! isotropically weighted MGXS
+!===============================================================================
+
+  type, extends(Mgxs) :: MgxsIso
+
+    ! Microscopic cross sections
+    real(8), allocatable :: total(:)        ! total cross section
+    real(8), allocatable :: absorption(:)   ! absorption cross section
+    class(ScattData), allocatable :: scatter ! scattering information
+    real(8), allocatable :: nu_fission(:)   ! fission matrix (Gout x Gin)
+    real(8), allocatable :: k_fission(:)    ! kappa-fission
+    real(8), allocatable :: fission(:)      ! neutron production
+    real(8), allocatable :: chi(:, :)        ! Fission Spectra
+
+  contains
+    procedure :: init_file   => mgxsiso_init_file ! Initialize Nuclidic MGXS Data
+    procedure :: print       => mgxsiso_print   ! Writes nuclide info
+    procedure :: get_xs      => mgxsiso_get_xs  ! Gets Size of Data w/in Object
+    procedure :: combine     => mgxsiso_combine ! inits object
+    procedure :: sample_fission_energy => mgxsiso_sample_fission_energy
+    procedure :: sample_scatter => mgxsiso_sample_scatter
+    procedure :: calculate_xs => mgxsiso_calculate_xs
+  end type MgxsIso
+
+!===============================================================================
+! MGXSANGLE contains the base MGXS data specifically for
+! angular flux weighted MGXS
+!===============================================================================
+
+  type, extends(Mgxs) :: MgxsAngle
+
+    ! Microscopic cross sections
+    real(8), allocatable :: total(:, :, :)        ! total cross section
+    real(8), allocatable :: absorption(:, :, :)   ! absorption cross section
+    type(ScattDataContainer), allocatable :: scatter(:, :) ! scattering information
+    real(8), allocatable :: nu_fission(:, :, :)   ! fission matrix (Gout x Gin)
+    real(8), allocatable :: k_fission(:, :, :)    ! kappa-fission
+    real(8), allocatable :: fission(:, :, :)      ! neutron production
+    real(8), allocatable :: chi(:, :, :, :)        ! Fission Spectra
+    ! In all cases, right-most indices are theta, phi
+    integer              :: n_pol         ! Number of polar angles
+    integer              :: n_azi         ! Number of azimuthal angles
+    real(8), allocatable :: polar(:)     ! polar angles
+    real(8), allocatable :: azimuthal(:) ! azimuthal angles
+
+  contains
+    procedure :: init_file   => mgxsang_init_file ! Initialize Nuclidic MGXS Data
+    procedure :: print       => mgxsang_print   ! Writes nuclide info
+    procedure :: get_xs      => mgxsang_get_xs  ! Gets Size of Data w/in Object
+    procedure :: combine     => mgxsang_combine ! inits object
+    procedure :: sample_fission_energy => mgxsang_sample_fission_energy
+    procedure :: sample_scatter => mgxsang_sample_scatter
+    procedure :: calculate_xs => mgxsang_calculate_xs
+  end type MgxsAngle
+
+  contains
+
+!===============================================================================
+! MGXS*_INIT reads in the data from the XML file.  At the point of entry
+! the file would have been opened and metadata read.  This routine begins with
+! the xsdata object node itself.
+!===============================================================================
+
+    subroutine mgxs_init_file(this, node_xsdata, i_listing)
+      class(Mgxs), intent(inout)      :: this        ! Working Object
+      type(Node), pointer, intent(in) :: node_xsdata ! Data from MGXS xml
+      integer, intent(in)             :: i_listing   ! Index in listings array
+
+      character(MAX_LINE_LEN) :: temp_str
+
+      ! Load the nuclide metadata
+      call get_node_value(node_xsdata, "name", this % name)
+      this % name = to_lower(this % name)
+      if (check_for_node(node_xsdata, "kT")) then
+        call get_node_value(node_xsdata, "kT", this % kT)
+      else
+        this % kT = ZERO
+      end if
+      if (check_for_node(node_xsdata, "zaid")) then
+        call get_node_value(node_xsdata, "zaid", this % zaid)
+      else
+        this % zaid = 0
+      end if
+      if (check_for_node(node_xsdata, "awr")) then
+        call get_node_value(node_xsdata, "awr", this % awr)
+      else
+        this % awr = -ONE
+      end if
+      if (check_for_node(node_xsdata, "scatt_type")) then
+        call get_node_value(node_xsdata, "scatt_type", temp_str)
+        temp_str = trim(to_lower(temp_str))
+        if (temp_str == 'legendre') then
+          this % scatt_type = ANGLE_LEGENDRE
+        else if (temp_str == 'histogram') then
+          this % scatt_type = ANGLE_HISTOGRAM
+        else if (temp_str == 'tabular') then
+          this % scatt_type = ANGLE_TABULAR
+        else
+          call fatal_error("Invalid scatt_type option!")
+        end if
+      else
+        this % scatt_type = ANGLE_LEGENDRE
+      end if
+
+      if (check_for_node(node_xsdata, "fissionable")) then
+        call get_node_value(node_xsdata, "fissionable", temp_str)
+        temp_str = to_lower(temp_str)
+        if (trim(temp_str) == 'true' .or. trim(temp_str) == '1') then
+          this % fissionable = .true.
+        else
+          this % fissionable = .false.
+        end if
+      else
+        call fatal_error("Fissionable element must be set!")
+      end if
+
+      ! Keep track of what listing is associated with this nuclide
+      this % listing = i_listing
+
+    end subroutine mgxs_init_file
+
+    subroutine mgxsiso_init_file(this, node_xsdata, groups, get_kfiss, get_fiss, &
+                                 max_order, i_listing)
+      class(MgxsIso), intent(inout)   :: this        ! Working Object
+      type(Node), pointer, intent(in) :: node_xsdata ! Data from MGXS xml
+      integer, intent(in)             :: groups      ! Number of Energy groups
+      logical, intent(in)             :: get_kfiss   ! Need Kappa-Fission?
+      logical, intent(in)             :: get_fiss    ! Need fiss data?
+      integer, intent(in)             :: max_order   ! Maximum requested order
+      integer, intent(in)             :: i_listing   ! Index in listings array
+
+      type(Node), pointer     :: node_legendre_mu
+      character(MAX_LINE_LEN) :: temp_str
+      logical                 :: enable_leg_mu
+      real(8), allocatable    :: temp_arr(:), temp_2d(:, :)
+      real(8), allocatable    :: temp_mult(:, :)
+      real(8), allocatable    :: scatt_coeffs(:, :, :)
+      real(8), allocatable    :: input_scatt(:, :, :)
+      real(8), allocatable    :: temp_scatt(:, :, :)
+      real(8)                 :: dmu, mu, norm
+      integer                 :: order, order_dim, gin, gout, l, arr_len
+      integer                 :: legendre_mu_points, imu
+
+      ! Call generic data gathering routine (will populate the metadata)
+      call mgxs_init_file(this, node_xsdata, i_listing)
+
+      ! Load the more specific data
+      allocate(this % nu_fission(groups))
+      allocate(this % chi(groups,groups))
+      if (this % fissionable) then
+        if (check_for_node(node_xsdata, "chi")) then
+          ! Chi was provided, that means they are giving chi and nu-fission
+          ! vectors
+          ! Get chi
+          allocate(temp_arr(groups))
+          call get_node_array(node_xsdata, "chi", temp_arr)
+          do gin = 1, groups
+            do gout = 1, groups
+              this % chi(gout, gin) = temp_arr(gout)
+            end do
+            ! Normalize chi so its CDF goes to 1
+            this % chi(:, gin) = this % chi(:, gin) / sum(this % chi(:, gin))
+          end do
+          deallocate(temp_arr)
+
+          ! Get nu_fission (as a vector)
+          if (check_for_node(node_xsdata, "nu_fission")) then
+            call get_node_array(node_xsdata, "nu_fission", this % nu_fission)
+          else
+            call fatal_error("If fissionable, must provide nu_fission!")
+          end if
+
+        else
+          ! chi isnt provided but is within nu_fission, existing as a matrix
+          ! So, get nu_fission (as a matrix)
+          if (check_for_node(node_xsdata, "nu_fission")) then
+            allocate(temp_arr(groups*groups))
+            call get_node_array(node_xsdata, "nu_fission", temp_arr)
+            allocate(temp_2d(groups, groups))
+            temp_2d = reshape(temp_arr, (/groups, groups/))
+            deallocate(temp_arr)
+          else
+            call fatal_error("If fissionable, must provide nu_fission!")
+          end if
+
+          ! Set the vector nu-fission from the matrix nu-fission
+          do gin = 1, groups
+            this % nu_fission(gin) = sum(temp_2d(:, gin))
+          end do
+
+          ! Now pull out information needed for chi
+          this % chi(:, :) = temp_2d
+          ! Normalize chi so its CDF goes to 1
+          do gin = 1, groups
+            this % chi(:, gin) = this % chi(:, gin) / sum(this % chi(:, gin))
+          end do
+          deallocate(temp_2d)
+        end if
+        ! If we have a need* for the fission and kappa-fission x/s, get them
+        ! (*Need is defined as will be using it to tally)
+        if (get_fiss) then
+          allocate(this % fission(groups))
+          if (check_for_node(node_xsdata, "fission")) then
+            call get_node_array(node_xsdata, "fission", this % fission)
+          else
+            call fatal_error("Fission data missing, required due to fission&
+                             & tallies in tallies.xml file!")
+          end if
+        end if
+        if (get_kfiss) then
+          allocate(this % k_fission(groups))
+          if (check_for_node(node_xsdata, "kappa_fission")) then
+            call get_node_array(node_xsdata, "kappa_fission", this % k_fission)
+          else
+            call fatal_error("kappa_fission data missing, required due to &
+                             &kappa-fission tallies in tallies.xml file!")
+          end if
+        end if
+      else
+        this % nu_fission = ZERO
+        this % chi = ZERO
+      end if
+
+      allocate(this % absorption(groups))
+      if (check_for_node(node_xsdata, "absorption")) then
+        call get_node_array(node_xsdata, "absorption", this % absorption)
+      else
+        call fatal_error("Must provide absorption!")
+      end if
+
+      ! Get multiplication data if present
+      allocate(temp_mult(groups, groups))
+      if (check_for_node(node_xsdata, "multiplicity")) then
+        arr_len = get_arraysize_double(node_xsdata, "multiplicity")
+        if (arr_len == groups * groups) then
+          allocate(temp_arr(arr_len))
+          call get_node_array(node_xsdata, "multiplicity", temp_arr)
+          temp_mult(:, :) = reshape(temp_arr, (/groups, groups/))
+          deallocate(temp_arr)
+        else
+          call fatal_error("Multiplicity length not same as number of groups&
+                           & squared!")
+        end if
+      else
+        temp_mult(:, :) = ONE
+      end if
+
+      ! Get scattering treatment information
+      ! Tabular_legendre tells us if we are to treat the provided
+      ! Legendre polynomials as tabular data (if enable is true, default)
+      ! or leaving them as Legendres (if enable is false)
+
+      ! Set the default (Convert to tabular format w/ 33 points)
+      enable_leg_mu = .true.
+      legendre_mu_points = 33
+      ! Get the user-provided values
+      if (check_for_node(node_xsdata, "tabular_legendre")) then
+        call get_node_ptr(node_xsdata, "tabular_legendre", node_legendre_mu)
+        if (check_for_node(node_legendre_mu, "enable")) then
+          call get_node_value(node_legendre_mu, "enable", temp_str)
+          temp_str = trim(to_lower(temp_str))
+          if (temp_str == 'true' .or. temp_str == '1') then
+            enable_leg_mu = .true.
+          elseif (temp_str == 'false' .or. temp_str == '0') then
+            enable_leg_mu = .false.
+          else
+            call fatal_error("Unrecognized tabular_legendre/enable: " &
+                             // temp_str)
+          end if
+        end if
+        ! Ok, so if we need to convert to a tabular form, get the user provided
+        ! number of points
+        if (enable_leg_mu) then
+          if (check_for_node(node_legendre_mu, "num_points")) then
+            call get_node_value(node_legendre_mu, "num_points", &
+                 legendre_mu_points)
+            if (legendre_mu_points <= 0) &
+                 call fatal_error("num_points element must be positive&
+                                  & and non-zero!")
+          else
+            ! Set the default number of points (0.0625 spacing)
+            legendre_mu_points = 33
+          end if
+        end if
+      end if
+
+      ! Get the library's value for the order
+      if (check_for_node(node_xsdata, "order")) then
+        call get_node_value(node_xsdata, "order", order)
+      else
+        call fatal_error("Order must be provided!")
+      end if
+
+      ! Before retrieving the data, store the dimensionality of the data in
+      ! order_dim.  For Legendre data, we usually refer to it as Pn where
+      ! n is the order.  However Pn has n+1 sets of points (since you need to
+      ! the count the P0 moment).  Adjust for that.  Histogram and Tabular
+      ! formats dont need this adjustment.
+      if (this % scatt_type == ANGLE_LEGENDRE) then
+        order_dim = order + 1
+      else
+        order_dim = order
+      end if
+
+      ! The input is gathered in the more user-friendly facing format of
+      ! Gout x Gin x Order.  We will get it in that format in input_scatt,
+      ! but then need to convert it to a more useful ordering for processing
+      ! (Order x Gout x Gin).
+      allocate(input_scatt(groups, groups, order_dim))
+      if (check_for_node(node_xsdata, "scatter")) then
+        allocate(temp_arr(groups * groups * order_dim))
+        call get_node_array(node_xsdata, "scatter", temp_arr)
+        input_scatt = reshape(temp_arr, (/groups, groups, order_dim/))
+        deallocate(temp_arr)
+
+        ! Compare the number of orders given with the maximum order of the
+        ! problem.  Strip off the supefluous orders if needed.
+        if (this % scatt_type == ANGLE_LEGENDRE) then
+          order = min(order_dim - 1, max_order)
+          order_dim = order + 1
+        end if
+        allocate(temp_scatt(groups, groups, order_dim))
+        temp_scatt(:, :, :) = input_scatt(:, :, 1:order_dim)
+
+        ! Take input format (groups, groups, order) and convert to
+        ! the more useful format needed for scattdata: (order, groups, groups)
+        ! However, if scatt_type was ANGLE_LEGENDRE (i.e., the data was
+        ! provided as Legendre coefficients), and the user requested that
+        ! these legendres be converted to tabular form (note this is also
+        ! the default behavior), convert that now.
+        if (this % scatt_type == ANGLE_LEGENDRE .and. enable_leg_mu) then
+          ! Convert input parameters to what we need for the rest.
+          this % scatt_type = ANGLE_TABULAR
+          order_dim = legendre_mu_points
+          order = order_dim
+          dmu = TWO / real(order - 1, 8)
+
+          allocate(scatt_coeffs(order_dim, groups, groups))
+          do gin = 1, groups
+            do gout = 1, groups
+              norm = ZERO
+              do imu = 1, order_dim
+                if (imu == 1) then
+                  mu = -ONE
+                else if (imu == order_dim) then
+                  mu = ONE
+                else
+                  mu = -ONE + real(imu - 1, 8) * dmu
+                end if
+                scatt_coeffs(imu, gout, gin) = &
+                     evaluate_legendre(temp_scatt(gout, gin, :),mu)
+                ! Ensure positivity of distribution
+                if (scatt_coeffs(imu, gout, gin) < ZERO) &
+                     scatt_coeffs(imu, gout, gin) = ZERO
+                ! And accrue the integral
+                if (imu > 1) then
+                  norm = norm + HALF * dmu * &
+                       (scatt_coeffs(imu - 1, gout, gin) + &
+                        scatt_coeffs(imu, gout, gin))
+                end if
+              end do
+              ! Now that we have the integral, lets ensure that the distribution
+              ! is normalized such that it preserves the original scattering xs
+              if (norm > ZERO) then
+                scatt_coeffs(:, gout, gin) = scatt_coeffs(:, gout, gin) * &
+                     temp_scatt(gout, gin, 1) / norm
+              end if
+            end do
+          end do
+        else
+          ! Sticking with current representation, carry forward but change
+          ! the array ordering
+          allocate(scatt_coeffs(order_dim, groups, groups))
+          do gin = 1, groups
+            do gout = 1, groups
+              do l = 1, order_dim
+                scatt_coeffs(l, gout, gin) = temp_scatt(gout, gin, l)
+              end do
+            end do
+          end do
+        end if
+        deallocate(temp_scatt)
+      else
+        call fatal_error("Must provide scatter!")
+      end if
+
+      ! Allocate and initialize our ScattData Object.
+      if (this % scatt_type == ANGLE_HISTOGRAM) then
+        allocate(ScattDataHistogram :: this % scatter)
+      else if (this % scatt_type == ANGLE_TABULAR) then
+        allocate(ScattDataTabular :: this % scatter)
+      else if (this % scatt_type == ANGLE_LEGENDRE) then
+        allocate(ScattDataLegendre :: this % scatter)
+      end if
+
+      ! Initialize the ScattData Object
+      call this % scatter % init(temp_mult, scatt_coeffs)
+
+      ! Check sigA to ensure it is not 0 since it is
+      ! often divided by in the tally routines
+      ! (This may happen with Helium data)
+      do gin = 1, groups
+        if (this % absorption(gin) == ZERO) this % absorption(gin) = 1E-10_8
+      end do
+
+      ! Get, or infer, total xs data.
+      allocate(this % total(groups))
+      if (check_for_node(node_xsdata, "total")) then
+        call get_node_array(node_xsdata, "total", this % total)
+      else
+        this % total(:) = this % absorption(:) + this % scatter % scattxs(:)
+      end if
+
+      ! Deallocate temporaries for the next material
+      deallocate(input_scatt, scatt_coeffs, temp_mult)
+
+      ! Finally, check sigT to ensure it is not 0 since it is
+      ! often divided by in the tally routines
+      do gin = 1, groups
+        if (this % total(gin) == ZERO) this % total(gin) = 1E-10_8
+      end do
+
+
+    end subroutine mgxsiso_init_file
+
+    subroutine mgxsang_init_file(this, node_xsdata, groups, get_kfiss, get_fiss, &
+                                 max_order, i_listing)
+      class(MgxsAngle), intent(inout) :: this        ! Working Object
+      type(Node), pointer, intent(in) :: node_xsdata ! Data from MGXS xml
+      integer, intent(in)             :: groups      ! Number of Energy groups
+      logical, intent(in)             :: get_kfiss   ! Need Kappa-Fission?
+      logical, intent(in)             :: get_fiss    ! Should we get fiss data?
+      integer, intent(in)             :: max_order   ! Maximum requested order
+      integer, intent(in)             :: i_listing   ! Index in listings array
+
+      type(Node), pointer     :: node_legendre_mu
+      character(MAX_LINE_LEN) :: temp_str
+      logical                 :: enable_leg_mu
+      real(8), allocatable    :: temp_arr(:), temp_4d(:, :, :, :)
+      real(8), allocatable    :: temp_mult(:, :, :, :)
+      real(8), allocatable    :: scatt_coeffs(:, :, :, :, :)
+      real(8), allocatable    :: input_scatt(:, :, :, :, :)
+      real(8), allocatable    :: temp_scatt(:, :, :, :, :)
+      real(8)                 :: dmu, mu, norm, dangle
+      integer                 :: order, order_dim, gin, gout, l, arr_len
+      integer                 :: legendre_mu_points, imu, ipol, iazi
+
+      ! Call generic data gathering routine (will populate the metadata)
+      call mgxs_init_file(this, node_xsdata, i_listing)
+
+      if (check_for_node(node_xsdata, "num_polar")) then
+        call get_node_value(node_xsdata, "num_polar", this % n_pol)
+      else
+        call fatal_error("num_polar must be provided!")
+      end if
+
+      if (check_for_node(node_xsdata, "num_azimuthal")) then
+        call get_node_value(node_xsdata, "num_azimuthal", this % n_azi)
+      else
+        call fatal_error("num_azimuthal must be provided!")
+      end if
+
+      ! Load angle data, if present (else equally spaced)
+      allocate(this % polar(this % n_pol))
+      allocate(this % azimuthal(this % n_azi))
+      if (check_for_node(node_xsdata, "polar")) then
+        call fatal_error("User-Specified polar angle bins not yet supported!")
+        ! When this feature is supported, this line will be activated
+        call get_node_array(node_xsdata, "polar", this % polar)
+      else
+        dangle = PI / real(this % n_pol, 8)
+        do ipol = 1, this % n_pol
+          this % polar(ipol) = (real(ipol, 8) - HALF) * dangle
+        end do
+      end if
+      if (check_for_node(node_xsdata, "azimuthal")) then
+        call fatal_error("User-Specified azimuthal angle bins not yet supported!")
+        ! When this feature is supported, this line will be activated
+        call get_node_array(node_xsdata, "azimuthal", this % azimuthal)
+      else
+        dangle = TWO * PI / real(this % n_azi, 8)
+        do iazi = 1, this % n_azi
+          this % azimuthal(iazi) = -PI + (real(iazi, 8) - HALF) * dangle
+        end do
+      end if
+
+      ! Load the more specific data
+      allocate(this % nu_fission(groups, this % n_azi, this % n_pol))
+      allocate(this % chi(groups, groups, this % n_azi, this % n_pol))
+      if (this % fissionable) then
+        if (check_for_node(node_xsdata, "chi")) then
+          ! Chi was provided, that means they are giving chi and nu-fission
+          ! vectors
+          ! Get chi
+          allocate(temp_arr(1 * groups * this % n_azi * this % n_pol))
+          call get_node_array(node_xsdata, "chi", temp_arr)
+          ! Initialize counter for temp_arr
+          l = 0
+          gin = 1
+          do ipol = 1, this % n_pol
+            do iazi = 1, this % n_azi
+              do gout = 1, groups
+                l = l + 1
+                this % chi(gout, gin, iazi, ipol) = temp_arr(l)
+              end do
+              ! Normalize chi so its CDF goes to 1
+              this % chi(:, gin, iazi, ipol) = &
+                   this % chi(:, gin, iazi, ipol) / &
+                   sum(this % chi(:, gin, iazi, ipol))
+            end do
+          end do
+
+          ! Now set all the other gin values
+          do ipol = 1, this % n_pol
+            do iazi = 1, this % n_azi
+              do gin = 2, groups
+                this % chi(:, gin, iazi, ipol) = &
+                     this % chi(:, 1, iazi, ipol)
+              end do
+            end do
+          end do
+          deallocate(temp_arr)
+
+          ! Get nu_fission (as a vector)
+          if (check_for_node(node_xsdata, "nu_fission")) then
+            allocate(temp_arr(groups * this % n_azi * this % n_pol))
+            call get_node_array(node_xsdata, "nu_fission", temp_arr)
+            this % nu_fission(:, :, :) = reshape(temp_arr, (/groups, &
+                 this % n_azi, this % n_pol/))
+            deallocate(temp_arr)
+          else
+            call fatal_error("If fissionable, must provide nu_fission!")
+          end if
+
+        else
+          ! chi isnt provided but is within nu_fission, existing as a matrix
+          ! So, get nu_fission (as a matrix)
+          if (check_for_node(node_xsdata, "nu_fission")) then
+            allocate(temp_arr(groups * groups * this % n_azi * this % n_pol))
+            call get_node_array(node_xsdata, "nu_fission", temp_arr)
+            allocate(temp_4d(groups, groups, this % n_azi,this % n_pol))
+            temp_4d(:, :, :, :) = reshape(temp_arr, (/groups, groups, &
+                 this % n_azi, this % n_pol/))
+            deallocate(temp_arr)
+          else
+            call fatal_error("If fissionable, must provide nu_fission!")
+          end if
+
+          ! Set the vector nu-fission from the matrix nu-fission
+          do ipol = 1, this % n_pol
+            do iazi = 1, this % n_azi
+              do gin = 1, groups
+                this % nu_fission(gin, iazi, ipol) = &
+                     sum(temp_4d(:, gin, iazi, ipol))
+              end do
+            end do
+          end do
+
+          ! Now pull out information needed for chi
+          this % chi = temp_4d
+          ! Normalize chi so its CDF goes to 1
+          do ipol = 1, this % n_pol
+            do iazi = 1, this % n_azi
+              do gin = 1, groups
+                this % chi(:, gin, iazi, ipol) = &
+                     this % chi(:, gin, iazi, ipol) / &
+                     sum(this % chi(:, gin, iazi, ipol))
+              end do
+            end do
+          end do
+          deallocate(temp_4d)
+        end if
+
+        ! If we have a need* for the fission and kappa-fission x/s, get them
+        ! (*Need is defined as will be using it to tally)
+        if (get_fiss) then
+          if (check_for_node(node_xsdata, "fission")) then
+            allocate(temp_arr(groups * this % n_azi * this % n_pol))
+            call get_node_array(node_xsdata, "fission", temp_arr)
+            allocate(this % fission(groups, this % n_azi, this % n_pol))
+            this % fission(:, :, :) = reshape(temp_arr, (/groups, this % n_azi, &
+                 this % n_pol/))
+            deallocate(temp_arr)
+          else
+            call fatal_error("Fission data missing, required due to fission&
+                             & tallies in tallies.xml file!")
+          end if
+        end if
+        if (get_kfiss) then
+          if (check_for_node(node_xsdata, "kappa_fission")) then
+            allocate(temp_arr(groups * this % n_azi * this % n_pol))
+            call get_node_array(node_xsdata, "kappa_fission", temp_arr)
+            allocate(this % k_fission(groups, this % n_azi, this % n_pol))
+            this % k_fission(:, :, :) = reshape(temp_arr, (/groups, &
+                 this % n_azi, this % n_pol/))
+            deallocate(temp_arr)
+          else
+            call fatal_error("kappa_fission data missing, required due to &
+                             &kappa-fission tallies in tallies.xml file!")
+          end if
+        end if
+      else
+        this % nu_fission(:, :, :) = ZERO
+        this % chi(:, :, :, :) = ZERO
+      end if
+
+      if (check_for_node(node_xsdata, "absorption")) then
+        allocate(temp_arr(groups * this % n_azi * this % n_pol))
+        call get_node_array(node_xsdata, "absorption", temp_arr)
+        allocate(this % absorption(groups, this % n_azi, this % n_pol))
+        this % absorption(:, :, :) = reshape(temp_arr, (/groups, this % n_azi, &
+             this % n_pol/))
+        deallocate(temp_arr)
+      else
+        call fatal_error("Must provide absorption!")
+      end if
+
+      ! Get multiplication data if present
+      allocate(temp_mult(groups,groups, this % n_azi, this % n_pol))
+      if (check_for_node(node_xsdata, "multiplicity")) then
+        arr_len = get_arraysize_double(node_xsdata, "multiplicity")
+        if (arr_len == groups * groups * this % n_azi * this % n_pol) then
+          allocate(temp_arr(arr_len))
+          call get_node_array(node_xsdata, "multiplicity", temp_arr)
+          temp_mult(:, :, :, :) = reshape(temp_arr, (/groups, groups, &
+               this % n_azi, this % n_pol/))
+          deallocate(temp_arr)
+        else
+          call fatal_error("Multiplicity length not same as number of groups&
+                           & squared!")
+        end if
+      else
+        temp_mult(:, :, :, :) = ONE
+      end if
+
+      ! Get scattering treatment information
+      ! Tabular_legendre tells us if we are to treat the provided
+      ! Legendre polynomials as tabular data (if enable is true) or leaving
+      ! them as Legendres (if enable is false, or the default)
+
+      ! Set the default (leave as Legendre polynomials)
+      enable_leg_mu = .false.
+      if (check_for_node(node_xsdata, "tabular_legendre")) then
+        call get_node_ptr(node_xsdata, "tabular_legendre", node_legendre_mu)
+        if (check_for_node(node_legendre_mu, "enable")) then
+          call get_node_value(node_legendre_mu, "enable", temp_str)
+          temp_str = trim(to_lower(temp_str))
+          if (temp_str == 'true' .or. temp_str == '1') then
+            enable_leg_mu = .true.
+          elseif (temp_str == 'false' .or. temp_str == '0') then
+            enable_leg_mu = .false.
+          else
+            call fatal_error("Unrecognized tabular_legendre/enable: " &
+                             // temp_str)
+          end if
+        end if
+        ! Ok, so if we need to convert to a tabular form, get the user provided
+        ! number of points
+        if (enable_leg_mu) then
+          if (check_for_node(node_legendre_mu, "num_points")) then
+            call get_node_value(node_legendre_mu, "num_points", &
+                 legendre_mu_points)
+            if (legendre_mu_points <= 0) &
+                 call fatal_error("num_points element must be positive&
+                                  & and non-zero!")
+          else
+            ! Set the default number of points (0.0625 spacing)
+            legendre_mu_points = 33
+          end if
+        end if
+      end if
+
+      ! Get the library's value for the order
+      if (check_for_node(node_xsdata, "order")) then
+        call get_node_value(node_xsdata, "order", order)
+      else
+        call fatal_error("Order must be provided!")
+      end if
+
+      ! Before retrieving the data, store the dimensionality of the data in
+      ! order_dim.  For Legendre data, we usually refer to it as Pn where
+      ! n is the order.  However Pn has n+1 sets of points (since you need to
+      ! the count the P0 moment).  Adjust for that.  Histogram and Tabular
+      ! formats dont need this adjustment.
+      if (this % scatt_type == ANGLE_LEGENDRE) then
+        order_dim = order + 1
+      else
+        order_dim = order
+      end if
+
+      ! The input is gathered in the more user-friendly facing format of
+      ! Gout x Gin x Order x Azi x Pol.  We will get it in that format in
+      ! input_scatt, but then need to convert it to a more useful ordering
+      ! for processing (Order x Gout x Gin x Azi x Pol).
+      allocate(input_scatt(groups, groups, order_dim, this % n_azi, &
+                           this % n_pol))
+      if (check_for_node(node_xsdata, "scatter")) then
+        allocate(temp_arr(groups * groups * order_dim * this % n_azi * &
+                          this % n_pol))
+        call get_node_array(node_xsdata, "scatter", temp_arr)
+        input_scatt(:, :, :, :, :) = reshape(temp_arr, (/groups, groups, &
+             order_dim, this % n_azi, this % n_pol/))
+        deallocate(temp_arr)
+
+        ! Compare the number of orders given with the maximum order of the
+        ! problem.  Strip off the supefluous orders if needed.
+        if (this % scatt_type == ANGLE_LEGENDRE) then
+          order = min(order_dim - 1, max_order)
+          order_dim = order + 1
+        end if
+
+        allocate(temp_scatt(groups, groups, order_dim, this % n_azi, &
+                            this % n_pol))
+        temp_scatt(:, :, :, :, :) = input_scatt(:, :, 1:order_dim, :, :)
+
+        ! Take input format (groups, groups, order) and convert to
+        ! the more useful format needed for scattdata: (order, groups, groups)
+        ! However, if scatt_type was ANGLE_LEGENDRE (i.e., the data was
+        ! provided as Legendre coefficients), and the user requested that
+        ! these legendres be converted to tabular form (note this is also
+        ! the default behavior), convert that now.
+        if (this % scatt_type == ANGLE_LEGENDRE .and. enable_leg_mu) then
+
+          ! Convert input parameters to what we need for the rest.
+          this % scatt_type = ANGLE_TABULAR
+          order_dim = legendre_mu_points
+          order = order_dim
+          dmu = TWO / real(order - 1, 8)
+
+          allocate(scatt_coeffs(order_dim, groups, groups, this % n_azi, &
+                                this % n_pol))
+          do ipol = 1, this % n_pol
+            do iazi = 1, this % n_azi
+              do gin = 1, groups
+                do gout = 1, groups
+                  norm = ZERO
+                  do imu = 1, order_dim
+                    if (imu == 1) then
+                      mu = -ONE
+                    else if (imu == order_dim) then
+                      mu = ONE
+                    else
+                      mu = -ONE + real(imu - 1, 8) * dmu
+                    end if
+                    scatt_coeffs(imu, gout, gin, iazi, ipol) = &
+                         evaluate_legendre(temp_scatt(gout, gin, :, iazi, ipol), mu)
+                    ! Ensure positivity of distribution
+                    if (scatt_coeffs(imu, gout, gin, iazi, ipol) < ZERO) &
+                         scatt_coeffs(imu, gout, gin, iazi, ipol) = ZERO
+                    ! And accrue the integral
+                    if (imu > 1) then
+                      norm = norm + HALF * dmu * &
+                           (scatt_coeffs(imu - 1, gout, gin, iazi, ipol) + &
+                            scatt_coeffs(imu, gout, gin, iazi, ipol))
+                    end if
+                  end do
+                  ! Now that we have the integral, lets ensure that the distribution
+                  ! is normalized such that it preserves the original scattering xs
+                  if (norm > ZERO) then
+                    scatt_coeffs(:, gout, gin, iazi, ipol) = &
+                         scatt_coeffs(:, gout, gin, iazi, ipol) * &
+                         temp_scatt(gout, gin, 1, iazi, ipol) / norm
+                  end if
+                end do
+              end do
+            end do
+          end do
+        else
+          ! Sticking with current representation, carry forward but change
+          ! the array ordering
+          allocate(scatt_coeffs(order_dim, groups, groups, this % n_azi, &
+                                this % n_pol))
+          do ipol = 1, this % n_pol
+            do iazi = 1, this % n_azi
+              do gin = 1, groups
+                do gout = 1, groups
+                  do l = 1, order_dim
+                    scatt_coeffs(l, gout, gin, iazi, ipol) = &
+                         temp_scatt(gout, gin, l, iazi, ipol)
+                  end do
+                end do
+              end do
+            end do
+          end do
+        end if
+        deallocate(temp_scatt)
+      else
+        call fatal_error("Must provide scatter!")
+      end if
+
+      allocate(this % scatter(this % n_azi, this % n_pol))
+      do ipol = 1, this % n_pol
+        do iazi = 1,  this % n_azi
+          ! Allocate and initialize our ScattData Object.
+          if (this % scatt_type == ANGLE_HISTOGRAM) then
+            allocate(ScattDataHistogram :: this % scatter(iazi, ipol) % obj)
+          else if (this % scatt_type == ANGLE_TABULAR) then
+            allocate(ScattDataTabular :: this % scatter(iazi, ipol) % obj)
+          else if (this % scatt_type == ANGLE_LEGENDRE) then
+            allocate(ScattDataLegendre :: this % scatter(iazi, ipol) % obj)
+          end if
+
+          ! Initialize the ScattData Object
+          call this % scatter(iazi, ipol) % obj % init(&
+               temp_mult(:, :, iazi, ipol), &
+               scatt_coeffs(:, :, :, iazi, ipol))
+        end do
+      end do
+      ! Deallocate temporaries for the next material
+      deallocate(input_scatt, scatt_coeffs, temp_mult)
+
+      allocate(this % total(groups, this % n_azi, this % n_pol))
+      if (check_for_node(node_xsdata, "total")) then
+        allocate(temp_arr(groups * this % n_azi * this % n_pol))
+        call get_node_array(node_xsdata, "total", temp_arr)
+        this % total(:, :, :) = reshape(temp_arr, (/groups, this % n_azi, &
+             this % n_pol/))
+        deallocate(temp_arr)
+      else
+        do ipol = 1, this % n_pol
+          do iazi = 1, this % n_azi
+            this % total(:, iazi, ipol) = this % absorption(:, iazi, ipol) + &
+                 this % scatter(iazi, ipol) % obj % scattxs(:)
+          end do
+        end do
+      end if
+
+    end subroutine mgxsang_init_file
+
+!===============================================================================
+! MGXS*_PRINT displays information about a continuous-energy neutron
+! cross_section table and its reactions and secondary angle/energy distributions
+!===============================================================================
+
+    subroutine mgxs_print(this, unit_)
+      class(Mgxs), intent(in) :: this
+      integer, intent(in)           :: unit_
+
+      character(MAX_LINE_LEN) :: temp_str
+
+      ! Basic nuclide information
+      write(unit_,*) 'MGXS Entry: ' // trim(this % name)
+      if (this % zaid > 0) then
+        write(unit_,*) '  ZAID = ' // trim(to_str(this % zaid))
+      else if (this % zaid < 0) then
+        write(unit_,*) '  Material id = ' // trim(to_str(-this % zaid))
+      end if
+      if (this % awr > ZERO) then
+        write(unit_,*) '  AWR = ' // trim(to_str(this % awr))
+      end if
+      if (this % kT > ZERO) then
+        write(unit_,*) '  kT = ' // trim(to_str(this % kT))
+      end if
+      if (this % scatt_type == ANGLE_LEGENDRE) then
+        temp_str = "Legendre"
+        write(unit_,*) '  Scattering Type = ' // trim(temp_str)
+        select type(this)
+        type is (MgxsIso)
+          temp_str = to_str(size(this % scatter % dist(1) % data,dim=1) - 1)
+        end select
+        write(unit_,*) '    Scattering Order = ' // trim(temp_str)
+      else if (this % scatt_type == ANGLE_HISTOGRAM) then
+        temp_str = "Histogram"
+        write(unit_,*) '  Scattering Type = ' // trim(temp_str)
+        select type(this)
+        type is (MgxsIso)
+          temp_str = to_str(size(this % scatter % dist(1) % data,dim=1))
+        end select
+        write(unit_,*) '    Num. Distribution Bins = ' // trim(temp_str)
+      else if (this % scatt_type == ANGLE_TABULAR) then
+        temp_str = "Tabular"
+        write(unit_,*) '  Scattering Type = ' // trim(temp_str)
+        select type(this)
+        type is (MgxsIso)
+          temp_str = to_str(size(this % scatter % dist(1) % data,dim=1))
+        end select
+        write(unit_,*) '    Num. Distribution Points = ' // trim(temp_str)
+      end if
+      write(unit_,*) '  Fissionable = ', this % fissionable
+
+    end subroutine mgxs_print
+
+    subroutine mgxsiso_print(this, unit)
+
+      class(MgxsIso), intent(in) :: this
+      integer, optional, intent(in)  :: unit
+
+      integer :: unit_             ! unit to write to
+      integer :: size_total, size_scattmat, size_mgxs
+      integer :: gin
+
+      ! set default unit for writing information
+      if (present(unit)) then
+        unit_ = unit
+      else
+        unit_ = OUTPUT_UNIT
+      end if
+
+      ! Write Basic Nuclide Information
+      call mgxs_print(this, unit_)
+
+      ! Determine size of mgxs and scattering matrices
+      size_scattmat = 0
+      do gin = 1, size(this % scatter % energy)
+        size_scattmat = size_scattmat + &
+             2 * size(this % scatter % energy(gin) % data) + &
+             size(this % scatter % dist(gin) % data)
+      end do
+      size_scattmat = size_scattmat + size(this % scatter % scattxs)
+      size_scattmat = size_scattmat * 8
+
+      size_mgxs = size(this % total) + size(this % absorption) + &
+           size(this % nu_fission) + size(this % k_fission) + &
+           size(this % fission) + size(this % chi)
+      size_mgxs = size_mgxs * 8
+
+      ! Calculate total memory
+      size_total = size_scattmat + size_mgxs
+
+      ! Write memory used
+      write(unit_,*) '  Memory Requirements'
+      write(unit_,*) '    Cross sections = ' // trim(to_str(size_mgxs)) // ' bytes'
+      write(unit_,*) '    Scattering Matrices = ' // &
+           trim(to_str(size_scattmat)) // ' bytes'
+      write(unit_,*) '    Total = ' // trim(to_str(size_total)) // ' bytes'
+
+      ! Blank line at end of nuclide
+      write(unit_,*)
+
+    end subroutine mgxsiso_print
+
+    subroutine mgxsang_print(this, unit)
+
+      class(MgxsAngle), intent(in)  :: this
+      integer, optional, intent(in) :: unit
+
+      integer :: unit_             ! unit to write to
+      integer :: size_total, size_scattmat, size_mgxs
+      integer :: ipol, iazi, gin
+
+      ! set default unit for writing information
+      if (present(unit)) then
+        unit_ = unit
+      else
+        unit_ = OUTPUT_UNIT
+      end if
+
+      ! Write Basic Nuclide Information
+      call mgxs_print(this, unit_)
+
+      write(unit_,*) '  # of Polar Angles = ' // trim(to_str(this % n_pol))
+      write(unit_,*) '  # of Azimuthal Angles = ' // trim(to_str(this % n_azi))
+
+      ! Determine size of mgxs and scattering matrices
+      size_scattmat = 0
+      do ipol = 1, this % n_pol
+        do iazi = 1, this % n_azi
+          do gin = 1, size(this % scatter(iazi, ipol) % obj % energy)
+            size_scattmat = size_scattmat + &
+                 2 * size(this % scatter(iazi, ipol) % obj % energy(gin) % data) + &
+                 size(this % scatter(iazi, ipol) % obj % dist(gin) % data)
+          end do
+          size_scattmat = size_scattmat + &
+               size(this % scatter(iazi, ipol) % obj % scattxs)
+        end do
+      end do
+      size_scattmat = size_scattmat * 8
+
+      size_mgxs = size(this % total) + size(this % absorption) + &
+           size(this % nu_fission) + size(this % k_fission) + &
+           size(this % fission) + size(this % chi)
+      size_mgxs = size_mgxs * 8
+
+      ! Calculate total memory
+      size_total = size_scattmat + size_mgxs
+
+      ! Write memory used
+      write(unit_,*) '  Memory Requirements'
+      write(unit_,*) '    Cross sections = ' // trim(to_str(size_mgxs)) // ' bytes'
+      write(unit_,*) '    Scattering Matrices = ' // &
+           trim(to_str(size_scattmat)) // ' bytes'
+      write(unit_,*) '    Total = ' // trim(to_str(size_total)) // ' bytes'
+
+      ! Blank line at end of nuclide
+      write(unit_,*)
+    end subroutine mgxsang_print
+
+!===============================================================================
+! MGXS*_GET_XS returns the requested data cross section data
+!===============================================================================
+
+    pure function mgxsiso_get_xs(this, xstype, gin, gout, uvw, mu) result(xs)
+      class(MgxsIso), intent(in)    :: this   ! The Mgxs to initialize
+      character(*) , intent(in)     :: xstype ! Type of xs requested
+      integer, intent(in)           :: gin    ! Incoming Energy group
+      integer, optional, intent(in) :: gout   ! Outgoing Energy group
+      real(8), optional, intent(in) :: uvw(3) ! Requested Angle
+      real(8), optional, intent(in) :: mu     ! Change in angle
+      real(8)                       :: xs     ! Requested x/s
+
+      select case(xstype)
+      case('total')
+        xs = this % total(gin)
+      case('absorption')
+        xs = this % absorption(gin)
+      case('fission')
+        if (allocated(this % fission)) then
+          xs = this % fission(gin)
+        else
+          xs = ZERO
+        end if
+      case('kappa_fission')
+        if (allocated(this % k_fission)) then
+          xs = this % k_fission(gin)
+        else
+          xs = ZERO
+        end if
+      case('nu_fission')
+        xs = this % nu_fission(gin)
+      case('chi')
+        if (present(gout)) then
+          xs = this % chi(gout,gin)
+        else
+          ! Not sure youd want a 1 or a 0, but here you go!
+          xs = sum(this % chi(:, gin))
+        end if
+      case('scatter')
+        if (present(gout)) then
+          if (gout < this % scatter % gmin(gin) .or. &
+               gout > this % scatter % gmax(gin)) then
+            xs = ZERO
+          else
+            xs = this % scatter % scattxs(gin) * &
+                 this % scatter % energy(gin) % data(gout)
+          end if
+        else
+          xs = this % scatter % scattxs(gin)
+        end if
+      case('scatter/mult')
+        if (present(gout)) then
+          if (gout < this % scatter % gmin(gin) .or. &
+               gout > this % scatter % gmax(gin)) then
+            xs = ZERO
+          else
+            xs = this % scatter % scattxs(gin) * &
+                 this % scatter % energy(gin) % data(gout) / &
+                 this % scatter % mult(gin) % data(gout)
+          end if
+        else
+          xs = this % scatter % scattxs(gin) / &
+               (dot_product(this % scatter % mult(gin) % data, &
+                this % scatter % energy(gin) % data))
+        end if
+      case('scatter*f_mu/mult','scatter*f_mu')
+        if (present(gout)) then
+          if (gout < this % scatter % gmin(gin) .or. &
+               gout > this % scatter % gmax(gin)) then
+            xs = ZERO
+          else
+            xs = this % scatter % scattxs(gin) * &
+                 this % scatter % energy(gin) % data(gout) * &
+                 this % scatter % calc_f(gin, gout, mu)
+            if (xstype == 'scatter*f_mu/mult') then
+              xs = xs / this % scatter % mult(gin) % data(gout)
+            end if
+          end if
+        else
+          xs = ZERO
+          ! TODO (Not likely needed)
+          ! (asking for f_mu without asking for a group or mu would mean the
+          ! user of this code wants the complete 1-outgoing group distribution
+          ! which Im not sure what they would do with that.
+        end if
+      case default
+        xs = ZERO
+      end select
+
+    end function mgxsiso_get_xs
+
+    pure function mgxsang_get_xs(this, xstype, gin, gout, uvw, mu) result(xs)
+      class(MgxsAngle), intent(in)  :: this   ! The Mgxs to initialize
+      character(*) , intent(in)     :: xstype ! Type of xs requested
+      integer, intent(in)           :: gin    ! Incoming Energy group
+      integer, optional, intent(in) :: gout   ! Outgoing Energy group
+      real(8), optional, intent(in) :: uvw(3) ! Requested Angle
+      real(8), optional, intent(in) :: mu     ! Change in angle
+      real(8)                       :: xs     ! Requested x/s
+
+      integer :: iazi, ipol
+
+      if (present(uvw)) then
+        call find_angle(this % polar, this % azimuthal, uvw, iazi, ipol)
+        select case(xstype)
+        case('total')
+          xs = this % total(gin, iazi, ipol)
+        case('absorption')
+          xs = this % absorption(gin, iazi, ipol)
+        case('fission')
+          if (allocated(this % fission)) then
+            xs = this % fission(gin, iazi, ipol)
+          else
+            xs = ZERO
+          end if
+        case('kappa_fission')
+          if (allocated(this % k_fission)) then
+            xs = this % k_fission(gin, iazi, ipol)
+          else
+            xs = ZERO
+          end if
+        case('nu_fission')
+          xs = this % nu_fission(gin, iazi, ipol)
+        case('chi')
+          if (present(gout)) then
+            xs = this % chi(gout, gin, iazi, ipol)
+          else
+            ! Not sure you would want a 1 or a 0, but here you go!
+            xs = sum(this % chi(:, gin, iazi, ipol))
+          end if
+        case('scatter')
+          if (present(gout)) then
+            if (gout < this % scatter(iazi, ipol) % obj % gmin(gin) .or. &
+                 gout > this % scatter(iazi, ipol) % obj % gmax(gin)) then
+              xs = ZERO
+            else
+              xs = this % scatter(iazi, ipol) % obj % scattxs(gin) * &
+                   this % scatter(iazi, ipol) % obj % energy(gin) % data(gout)
+            end if
+          else
+            xs = this % scatter(iazi, ipol) % obj % scattxs(gin)
+          end if
+        case('scatter/mult')
+          if (present(gout)) then
+            if (gout < this % scatter(iazi, ipol) % obj % gmin(gin) .or. &
+                 gout > this % scatter(iazi, ipol) % obj % gmax(gin)) then
+              xs = ZERO
+            else
+              xs = this % scatter(iazi, ipol) % obj % scattxs(gin) * &
+                   this % scatter(iazi, ipol) % obj % energy(gin) % data(gout) / &
+                   this % scatter(iazi, ipol) % obj % mult(gin) % data(gout)
+            end if
+          else
+            xs = this % scatter(iazi, ipol) % obj % scattxs(gin) / &
+                 (dot_product(this % scatter(iazi, ipol) % obj % mult(gin) % data, &
+                  this % scatter(iazi, ipol) % obj % energy(gin) % data))
+          end if
+        case('scatter*f_mu/mult','scatter*f_mu')
+          if (present(gout)) then
+            if (gout < this % scatter(iazi, ipol) % obj % gmin(gin) .or. &
+                 gout > this % scatter(iazi, ipol) % obj % gmax(gin)) then
+              xs = ZERO
+            else
+              xs = this % scatter(iazi, ipol) % obj % scattxs(gin) * &
+                   this % scatter(iazi, ipol) % obj % energy(gin) % data(gout)
+              xs = xs * this % scatter(iazi, ipol) % obj % calc_f(gin, gout, mu)
+              if (xstype == 'scatter*f_mu/mult') then
+                xs = xs / &
+                     this % scatter(iazi, ipol) % obj % mult(gin) % data(gout)
+              end if
+            end if
+          else
+            xs = ZERO
+            ! TODO (Not likely needed)
+            ! (asking for f_mu without asking for a group or mu would mean the
+            ! user of this code wants the complete 1-outgoing group distribution
+            ! which Im not sure what they would do with that.
+          end if
+        case default
+          xs = ZERO
+        end select
+      else
+        xs = ZERO
+      end if
+
+    end function mgxsang_get_xs
+
+!===============================================================================
+! MACROXS*_COMBINE Builds a macroscopic Mgxs object from microscopic Mgxs
+! objects
+!===============================================================================
+
+    subroutine mgxs_combine(this, mat, scatt_type, i_listing)
+      class(Mgxs), intent(inout)          :: this ! The Mgxs to initialize
+      type(Material), pointer, intent(in) :: mat  ! base material
+      integer, intent(in)                 :: scatt_type ! How is data presented
+      integer, intent(in)                 :: i_listing  ! Index in listings
+
+      ! Fill in meta-data from material information
+      if (mat % name == "") then
+        this % name      = trim(to_str(mat % id))
+      else
+        this % name      = mat % name
+      end if
+      this % zaid        = -mat % id
+      this % listing     = i_listing
+      this % fissionable = mat % fissionable
+      this % scatt_type  = scatt_type
+
+      ! The following info we should initialize, but we dont need it nor
+      ! does it have guaranteed meaning.
+      this % awr = -ONE
+      this % kT  = -ONE
+
+    end subroutine mgxs_combine
+
+    subroutine mgxsiso_combine(this, mat, nuclides, groups, max_order, scatt_type, &
+                               i_listing)
+      class(MgxsIso), intent(inout)       :: this ! The Mgxs to initialize
+      type(Material), pointer, intent(in) :: mat  ! base material
+      type(MgxsContainer), intent(in)     :: nuclides(:) ! List of nuclides to harvest from
+      integer, intent(in)                 :: groups     ! Number of E groups
+      integer, intent(in)                 :: max_order  ! Maximum requested order
+      integer, intent(in)                 :: scatt_type ! How is data presented
+      integer, intent(in)                 :: i_listing  ! Index in listings
+
+      integer :: i             ! loop index over nuclides
+      integer :: gin, gout     ! group indices
+      real(8) :: atom_density  ! atom density of a nuclide
+      real(8) :: norm, nuscatt
+      integer :: mat_max_order, order, order_dim, nuc_order_dim
+      real(8), allocatable :: temp_mult(:, :), mult_num(:, :), mult_denom(:, :)
+      real(8), allocatable :: scatt_coeffs(:, :, :)
+
+      ! Set the meta-data
+      call mgxs_combine(this, mat, scatt_type, i_listing)
+
+      ! Determine the scattering type of our data and ensure all scattering orders
+      ! are the same.
+      select type(nuc => nuclides(mat % nuclide(1)) % obj)
+      type is (MgxsIso)
+        order = size(nuc % scatter % dist(1) % data, dim=1)
+      end select
+      ! If we have tabular only data, then make sure all datasets have same size
+      if (scatt_type == ANGLE_HISTOGRAM) then
+        ! Check all scattering data to ensure it is the same size
+        do i = 2, mat % n_nuclides
+          select type(nuc => nuclides(mat % nuclide(i)) % obj)
+          type is (MgxsIso)
+            if (order /= size(nuc % scatter % dist(1) % data, dim=1)) &
+                 call fatal_error("All histogram scattering entries must be&
+                                  & same length!")
+          end select
+        end do
+        ! Ok, got our order, store the dimensionality
+        order_dim = order
+
+        ! Set our Scatter Object Type
+        allocate(ScattDataHistogram :: this % scatter)
+
+      else if (scatt_type == ANGLE_TABULAR) then
+        ! Check all scattering data to ensure it is the same size
+        do i = 2, mat % n_nuclides
+          select type(nuc => nuclides(mat % nuclide(i)) % obj)
+          type is (MgxsIso)
+            if (order /= size(nuc % scatter % dist(1) % data, dim=1)) &
+                 call fatal_error("All tabular scattering entries must be&
+                                  & same length!")
+          end select
+        end do
+        ! Ok, got our order, store the dimensionality
+        order_dim = order
+
+        ! Set our Scatter Object Type
+        allocate(ScattDataTabular :: this % scatter)
+
+      else if (scatt_type == ANGLE_LEGENDRE) then
+        ! Need to determine the maximum scattering order of all data in this material
+        mat_max_order = 0
+        do i = 1, mat % n_nuclides
+          select type(nuc => nuclides(mat % nuclide(i)) % obj)
+          type is (MgxsIso)
+            if (size(nuc % scatter % dist(1) % data, dim=1) > mat_max_order) &
+                 mat_max_order = size(nuc % scatter % dist(1) % data, dim=1)
+          end select
+        end do
+
+        ! Now need to compare this material maximum scattering order with
+        ! the problem wide max scatt order and use whichever is lower
+        order = min(mat_max_order, max_order)
+        ! Ok, got our order, store the dimensionality
+        order_dim = order + 1
+
+        ! Set our Scatter Object Type
+        allocate(ScattDataLegendre :: this % scatter)
+      end if
+
+      ! Allocate and initialize data needed for macro_xs(i_mat) object
+      allocate(this % total(groups))
+      this % total(:) = ZERO
+      allocate(this % absorption(groups))
+      this % absorption(:) = ZERO
+      allocate(this % fission(groups))
+      this % fission(:) = ZERO
+      allocate(this % k_fission(groups))
+      this % k_fission(:) = ZERO
+      allocate(this % nu_fission(groups))
+      this % nu_fission(:) = ZERO
+      allocate(this % chi(groups,groups))
+      this % chi(:, :) = ZERO
+      allocate(temp_mult(groups,groups))
+      temp_mult(:, :) = ZERO
+      allocate(mult_num(groups,groups))
+      mult_num(:, :) = ZERO
+      allocate(mult_denom(groups,groups))
+      mult_denom(:, :) = ZERO
+      allocate(scatt_coeffs(order_dim,groups,groups))
+      scatt_coeffs(:, :, :) = ZERO
+
+      ! Add contribution from each nuclide in material
+      do i = 1, mat % n_nuclides
+        ! Copy atom density of nuclide in material
+        atom_density = mat % atom_density(i)
+
+        ! Perform our operations which depend upon the type
+        select type(nuc => nuclides(mat % nuclide(i)) % obj)
+        type is (MgxsIso)
+          ! Add contributions to total, absorption, and fission data (if necessary)
+          this % total(:) = this % total(:) + atom_density * nuc % total(:)
+          this % absorption(:) = this % absorption(:) + &
+               atom_density * nuc % absorption(:)
+          if (nuc % fissionable) then
+            this % chi(:, :) = this % chi(:, :) + atom_density * nuc % chi(:, :)
+            this % nu_fission(:) = this % nu_fission(:)+ atom_density * &
+                 nuc % nu_fission(:)
+            if (allocated(nuc % fission)) then
+              this % fission(:) = this % fission(:) + atom_density * nuc % fission(:)
+            end if
+            if (allocated(nuc % k_fission)) then
+              this % k_fission(:) = this % k_fission(:) + atom_density * &
+                   nuc % k_fission(:)
+            end if
+          end if
+
+          ! Get the multiplication matrix
+          ! To combine from nuclidic data we need to use the final relationship
+          ! mult_{gg'} = sum_i(N_i*nuscatt_{i,g,g'}) /
+          !              sum_i(N_i*(nuscatt_{i,g,g'} / mult_{i,g,g'}))
+          ! Developed as follows:
+          ! mult_{gg'} = nuScatt{g,g'} / Scatt{g,g'}
+          ! mult_{gg'} = sum_i(N_i*nuscatt_{i,g,g'}) / sum(N_i*scatt_{i,g,g'})
+          ! mult_{gg'} = sum_i(N_i*nuscatt_{i,g,g'}) /
+          !              sum_i(N_i*(nuscatt_{i,g,g'} / mult_{i,g,g'}))
+          ! nuscatt_{i,g,g'} can be reconstructed from scatter % energy and
+          ! scatter % scattxs
+          do gin = 1, groups
+            do gout = nuc % scatter % gmin(gin), nuc % scatter % gmax(gin)
+              nuscatt = nuc % scatter % scattxs(gin) * &
+                   nuc % scatter % energy(gin) % data(gout)
+              mult_num(gout, gin) = mult_num(gout, gin) + atom_density * &
+                   nuscatt
+              if (nuc % scatter % mult(gin) % data(gout) > ZERO) then
+                mult_denom(gout, gin) = mult_denom(gout,gin) + atom_density * &
+                     nuscatt / nuc % scatter % mult(gin) % data(gout)
+              else
+                ! Avoid division by zero
+                mult_denom(gout, gin) = mult_denom(gout,gin) + atom_density
+              end if
+            end do
+          end do
+
+          ! Get the complete scattering matrix
+          nuc_order_dim = size(nuc % scatter % dist(1) % data, dim=1)
+          scatt_coeffs(1:min(nuc_order_dim, order_dim), :, :) = &
+               scatt_coeffs(1:min(nuc_order_dim, order_dim), :, :) + &
+               atom_density * &
+               nuc % scatter % get_matrix(min(nuc_order_dim, order_dim))
+
+        type is (MgxsAngle)
+          call fatal_error("Invalid passing of MgxsAngle to MgxsIso object")
+        end select
+      end do
+
+      ! Obtain temp_mult
+      do gin = 1, groups
+        do gout = 1, groups
+          if (mult_denom(gout, gin) > ZERO) then
+            temp_mult(gout, gin) = mult_num(gout, gin) / mult_denom(gout, gin)
+          else
+            temp_mult(gout, gin) = ONE
+          end if
+        end do
+      end do
+
+      ! Initialize the ScattData Object
+      call this % scatter % init(temp_mult, scatt_coeffs)
+
+      ! Now normalize chi
+      if (mat % fissionable) then
+        do gin = 1, groups
+          norm =  sum(this % chi(:, gin))
+          if (norm > ZERO) then
+            this % chi(:, gin) = this % chi(:, gin) / norm
+          end if
+        end do
+      end if
+
+      ! Deallocate temporaries
+      deallocate(scatt_coeffs, temp_mult, mult_num, mult_denom)
+
+    end subroutine mgxsiso_combine
+
+    subroutine mgxsang_combine(this, mat, nuclides, groups, max_order, scatt_type, &
+                               i_listing)
+      class(MgxsAngle), intent(inout)     :: this ! The Mgxs to initialize
+      type(Material), pointer, intent(in) :: mat  ! base material
+      type(MgxsContainer), intent(in)     :: nuclides(:) ! List of nuclides to harvest from
+      integer, intent(in)                 :: groups     ! Number of E groups
+      integer, intent(in)                 :: max_order  ! Maximum requested order
+      integer, intent(in)                 :: scatt_type ! Legendre or Tabular Scatt?
+      integer, intent(in)                 :: i_listing  ! Index in listings
+
+      integer :: i             ! loop index over nuclides
+      integer :: gin, gout     ! group indices
+      real(8) :: atom_density  ! atom density of a nuclide
+      integer :: ipol, iazi, n_pol, n_azi
+      real(8) :: norm, nuscatt
+      integer :: mat_max_order, order, order_dim, nuc_order_dim
+      real(8), allocatable :: temp_mult(:, :, :, :), mult_num(:, :, :, :)
+      real(8), allocatable :: mult_denom(:, :, :, :), scatt_coeffs(:, :, :, :, :)
+
+      ! Set the meta-data
+      call mgxs_combine(this, mat, scatt_type, i_listing)
+
+      ! Get the number of each polar and azi angles and make sure all the
+      ! NuclideAngle types have the same number of these angles
+      n_pol = -1
+      n_azi = -1
+      do i = 1, mat % n_nuclides
+        select type(nuc => nuclides(mat % nuclide(i)) % obj)
+        type is (MgxsAngle)
+          if (n_pol == -1) then
+            n_pol = nuc % n_pol
+            n_azi = nuc % n_azi
+            allocate(this % polar(n_pol))
+            this % polar(:) = nuc % polar(:)
+            allocate(this % azimuthal(n_azi))
+            this % azimuthal(:) = nuc % azimuthal(:)
+          else
+            if ((n_pol /= nuc % n_pol) .or. (n_azi /= nuc % n_azi)) then
+              call fatal_error("All angular data must be same length!")
+            end if
+          end if
+        end select
+      end do
+
+      ! Determine the scattering type of our data and ensure all scattering orders
+      ! are the same.
+      select type(nuc => nuclides(mat % nuclide(1)) % obj)
+      type is (MgxsAngle)
+        order = size(nuc % scatter(1,1) % obj % dist(1) % data, dim=1)
+      end select
+      ! If we have tabular only data, then make sure all datasets have same size
+      if (scatt_type == ANGLE_HISTOGRAM) then
+        ! Check all scattering data to ensure it is the same size
+        ! order = size(nuclides(mat % nuclide(1)) % obj % scatter % data,dim=1)
+        do i = 2, mat % n_nuclides
+          select type(nuc => nuclides(mat % nuclide(i)) % obj)
+          type is (MgxsAngle)
+            if (order /= size(nuc % scatter(1,1) % obj % dist(1) % data, dim=1)) &
+                 call fatal_error("All histogram scattering entries must be&
+                                  & same length!")
+          end select
+        end do
+        ! Ok, got our order, store the dimensionality
+        order_dim = order
+
+        ! Set our Scatter Object Type
+        allocate(this % scatter(n_azi, n_pol))
+        do ipol = 1, n_pol
+          do iazi = 1, n_azi
+            allocate(ScattDataHistogram :: this % scatter(iazi, ipol) % obj)
+          end do
+        end do
+
+      else if (scatt_type == ANGLE_TABULAR) then
+        ! Check all scattering data to ensure it is the same size
+        do i = 2, mat % n_nuclides
+          select type(nuc => nuclides(mat % nuclide(i)) % obj)
+          type is (MgxsAngle)
+            if (order /= size(nuc % scatter(1, 1) % obj % dist(1) % data, dim=1)) &
+                 call fatal_error("All tabular scattering entries must be&
+                                  & same length!")
+          end select
+        end do
+        ! Ok, got our order, store the dimensionality
+        order_dim = order
+
+        ! Set our Scatter Object Type
+        allocate(this % scatter(n_azi, n_pol))
+        do ipol = 1, n_pol
+          do iazi = 1, n_azi
+            allocate(ScattDataTabular :: this % scatter(iazi, ipol) % obj)
+          end do
+        end do
+
+      else if (scatt_type == ANGLE_LEGENDRE) then
+        ! Need to determine the maximum scattering order of all data in this material
+        mat_max_order = 0
+        do i = 1, mat % n_nuclides
+          select type(nuc => nuclides(mat % nuclide(i)) % obj)
+          type is (MgxsAngle)
+            if (size(nuc % scatter(1,1) % obj % dist(1) % data, dim=1) > mat_max_order) &
+                 mat_max_order = size(nuc % scatter(1,1) % obj% dist(1) % data, dim=1)
+          end select
+        end do
+
+        ! Now need to compare this material maximum scattering order with
+        ! the problem wide max scatt order and use whichever is lower
+        order = min(mat_max_order, max_order)
+        ! Ok, got our order, store the dimensionality
+        order_dim = order + 1
+
+        ! Set our Scatter Object Type
+        allocate(this % scatter(n_azi, n_pol))
+        do ipol = 1, n_pol
+          do iazi = 1, n_azi
+            allocate(ScattDataLegendre :: this % scatter(iazi, ipol) % obj)
+          end do
+        end do
+      end if
+
+      ! Allocate and initialize data within macro_xs(i_mat) object
+      allocate(this % total(groups, n_azi, n_pol))
+      this % total(:, :, :) = ZERO
+      allocate(this % absorption(groups, n_azi, n_pol))
+      this % absorption(:, :, :) = ZERO
+      allocate(this % fission(groups, n_azi, n_pol))
+      this % fission(:, :, :) = ZERO
+      allocate(this % k_fission(groups, n_azi, n_pol))
+      this % k_fission(:, :, :) = ZERO
+      allocate(this % nu_fission(groups, n_azi, n_pol))
+      this % nu_fission(:, :, :) = ZERO
+      allocate(this % chi(groups, groups, n_azi, n_pol))
+      this % chi(:, :, :, :) = ZERO
+      allocate(temp_mult(groups, groups, n_azi, n_pol))
+      temp_mult(:, :, :, :) = ZERO
+      allocate(mult_num(groups, groups, n_azi, n_pol))
+      mult_num(:, :, :, :) = ZERO
+      allocate(mult_denom(groups, groups, n_azi, n_pol))
+      mult_denom(:, :, :, :) = ZERO
+      allocate(scatt_coeffs(order_dim, groups, groups, n_azi, n_pol))
+      scatt_coeffs(:, :, :, :, :) = ZERO
+
+      ! Add contribution from each nuclide in material
+      do i = 1, mat % n_nuclides
+        ! Copy atom density of nuclide in material
+        atom_density = mat % atom_density(i)
+
+        ! Perform our operations which depend upon the type
+        select type(nuc => nuclides(mat % nuclide(i)) % obj)
+        type is (MgxsIso)
+          call fatal_error("Invalid passing of MgxsIso to MgxsAngle object")
+        type is (MgxsAngle)
+          ! Add contributions to total, absorption, and fission data (if necessary)
+          this % total(:, :, :) = this % total(:, :, :) + &
+               atom_density * nuc % total(:, :, :)
+          this % absorption(:, :, :) = this % absorption(:, :, :) + &
+               atom_density * nuc % absorption(:, :, :)
+          if (nuc % fissionable) then
+            this % chi = this % chi + atom_density * nuc % chi
+            this % nu_fission(:, :, :) = this % nu_fission(:, :, :) + &
+                 atom_density * nuc % nu_fission(:, :, :)
+            if (allocated(nuc % fission)) then
+              this % fission(:, :, :) = this % fission(:, :, :) + &
+                   atom_density * nuc % fission(:, :, :)
+            end if
+            if (allocated(nuc % k_fission)) then
+              this % k_fission(:, :, :) = this % k_fission(:, :, :) + &
+                   atom_density * nuc % k_fission(:, :, :)
+            end if
+          end if
+
+          ! Get the multiplication matrix
+          ! To combine from nuclidic data we need to use the final relationship
+          ! mult_{gg'} = sum_i(N_i*nuscatt_{i,g,g'}) /
+          !              sum_i(N_i*(nuscatt_{i,g,g'} / mult_{i,g,g'}))
+          ! Developed as follows:
+          ! mult_{gg'} = nuScatt{g,g'} / Scatt{g,g'}
+          ! mult_{gg'} = sum_i(N_i*nuscatt_{i,g,g'}) / sum(N_i*scatt_{i,g,g'})
+          ! mult_{gg'} = sum_i(N_i*nuscatt_{i,g,g'}) /
+          !              sum_i(N_i*(nuscatt_{i,g,g'} / mult_{i,g,g'}))
+          ! nuscatt_{i,g,g'} can be reconstructed from scatter % energy and
+          ! scatter % scattxs
+          do ipol = 1, n_pol
+            do iazi = 1, n_azi
+              do gin = 1, groups
+                do gout = nuc % scatter(iazi, ipol) % obj % gmin(gin), &
+                     nuc % scatter(iazi, ipol) % obj % gmax(gin)
+                  nuscatt = nuc % scatter(iazi, ipol) % obj % scattxs(gin) * &
+                       nuc % scatter(iazi, ipol) % obj % energy(gin) % data(gout)
+                  mult_num(gout, gin, iazi, ipol) = mult_num(gout, gin, iazi, ipol) + &
+                       atom_density * nuscatt
+                  if (nuc % scatter(iazi, ipol) % obj % mult(gin) % data(gout) > ZERO) then
+                    mult_denom(gout, gin, iazi, ipol) = &
+                         mult_denom(gout, gin, iazi, ipol) + &
+                         atom_density * nuscatt / &
+                         nuc % scatter(iazi, ipol) % obj % mult(gin) % data(gout)
+                  else
+                    ! Avoid division by zero
+                    mult_denom(gout, gin, iazi, ipol) = &
+                         mult_denom(gout,gin, iazi, ipol) + atom_density
+                  end if
+                end do
+              end do
+            end do
+          end do
+
+          ! Get the complete scattering matrix
+          nuc_order_dim = size(nuc % scatter(1, 1) % obj % dist(1) % data, dim=1)
+          do ipol = 1, n_pol
+            do iazi = 1, n_azi
+              scatt_coeffs(1:min(nuc_order_dim, order_dim), :, :, iazi, ipol) = &
+                   scatt_coeffs(1:min(nuc_order_dim, order_dim), :, :, iazi, ipol) + &
+                   atom_density * nuc % scatter(iazi, ipol) % obj % get_matrix(&
+                   min(nuc_order_dim, order_dim))
+            end do
+          end do
+        end select
+      end do
+
+      ! Obtain temp_mult
+      do ipol = 1, n_pol
+        do iazi = 1, n_azi
+          do gin = 1, groups
+            do gout = 1, groups
+              if (mult_denom(gout, gin, iazi, ipol) > ZERO) then
+                temp_mult(gout, gin, iazi, ipol) = &
+                     mult_num(gout, gin, iazi, ipol) / &
+                     mult_denom(gout, gin, iazi, ipol)
+              else
+                temp_mult(gout, gin, iazi, ipol) = ONE
+              end if
+            end do
+          end do
+        end do
+      end do
+
+      ! Initialize the ScattData Object
+      do ipol = 1, n_pol
+        do iazi = 1, n_azi
+          call this % scatter(iazi, ipol) % obj % init( &
+               temp_mult(:, :, iazi, ipol), scatt_coeffs(:, :, :, iazi, ipol))
+        end do
+      end do
+
+      ! Now normalize chi
+      if (mat % fissionable) then
+        do ipol = 1, n_pol
+          do iazi = 1, n_azi
+            do gin = 1, groups
+              norm =  sum(this % chi(:, gin, iazi, ipol))
+              if (norm > ZERO) then
+                this % chi(:, gin, iazi, ipol) = this % chi(:, gin, iazi, ipol) / norm
+              end if
+            end do
+          end do
+        end do
+      end if
+
+      ! Deallocate temporaries for the next material
+      deallocate(scatt_coeffs, temp_mult)
+
+    end subroutine mgxsang_combine
+
+!===============================================================================
+! MGXS*_SAMPLE_FISSION_ENERGY samples the outgoing energy from a fission event
+!===============================================================================
+
+    function mgxsiso_sample_fission_energy(this, gin, uvw) result(gout)
+      class(MgxsIso), intent(in) :: this   ! Data to work with
+      integer, intent(in)           :: gin    ! Incoming energy group
+      real(8), intent(in)           :: uvw(3) ! Particle Direction
+      integer                       :: gout   ! Sampled outgoing group
+      real(8) :: xi               ! Our random number
+      real(8) :: prob             ! Running probability
+
+      xi = prn()
+      gout = 1
+      prob = this % chi(gout,gin)
+
+      do while (prob < xi)
+        gout = gout + 1
+        prob = prob + this % chi(gout,gin)
+      end do
+
+    end function mgxsiso_sample_fission_energy
+
+    function mgxsang_sample_fission_energy(this, gin, uvw) result(gout)
+      class(MgxsAngle), intent(in) :: this  ! Data to work with
+      integer, intent(in)             :: gin    ! Incoming energy group
+      real(8), intent(in)             :: uvw(3) ! Particle Direction
+      integer                         :: gout   ! Sampled outgoing group
+      real(8) :: xi               ! Our random number
+      real(8) :: prob             ! Running probability
+      integer :: iazi, ipol
+
+      call find_angle(this % polar, this % azimuthal, uvw, iazi, ipol)
+
+      xi = prn()
+      gout = 1
+      prob = this % chi(gout, gin, iazi, ipol)
+
+      do while (prob < xi)
+        gout = gout + 1
+        prob = prob + this % chi(gout, gin, iazi, ipol)
+      end do
+
+    end function mgxsang_sample_fission_energy
+
+!===============================================================================
+! MGXS*_SAMPLE_SCATTER Selects outgoing energy and angle after a scatter event
+!===============================================================================
+
+    subroutine mgxsiso_sample_scatter(this, uvw, gin, gout, mu, wgt)
+      class(MgxsIso), intent(in)    :: this
+      real(8),           intent(in)    :: uvw(3) ! Incoming neutron direction
+      integer,           intent(in)    :: gin    ! Incoming neutron group
+      integer,           intent(out)   :: gout   ! Sampled outgoin group
+      real(8),           intent(out)   :: mu     ! Sampled change in angle
+      real(8),           intent(inout) :: wgt    ! Particle weight
+
+      call this % scatter % sample(gin, gout, mu, wgt)
+
+    end subroutine mgxsiso_sample_scatter
+
+    subroutine mgxsang_sample_scatter(this, uvw, gin, gout, mu, wgt)
+      class(MgxsAngle), intent(in)    :: this
+      real(8),             intent(in)    :: uvw(3) ! Incoming neutron direction
+      integer,             intent(in)    :: gin    ! Incoming neutron group
+      integer,             intent(out)   :: gout   ! Sampled outgoin group
+      real(8),             intent(out)   :: mu     ! Sampled change in angle
+      real(8),             intent(inout) :: wgt    ! Particle weight
+
+      integer :: iazi, ipol ! Angular indices
+
+      call find_angle(this % polar, this % azimuthal, uvw, iazi, ipol)
+      call this % scatter(iazi, ipol) % obj % sample(gin, gout, mu, wgt)
+
+    end subroutine mgxsang_sample_scatter
+
+!===============================================================================
+! MGXS*_CALCULATE_XS determines the multi-group cross sections
+! for the material the particle is currently traveling through.
+!===============================================================================
+
+    subroutine mgxsiso_calculate_xs(this, gin, uvw, xs)
+      class(MgxsIso),        intent(in)    :: this
+      integer,               intent(in)    :: gin    ! Incoming neutron group
+      real(8),               intent(in)    :: uvw(3) ! Incoming neutron direction
+      type(MaterialMacroXS), intent(inout) :: xs     ! Resultant Mgxs Data
+
+      xs % total         = this % total(gin)
+      xs % elastic       = this % scatter % scattxs(gin)
+      xs % absorption    = this % absorption(gin)
+      xs % fission       = this % fission(gin)
+      xs % nu_fission    = this % nu_fission(gin)
+
+    end subroutine mgxsiso_calculate_xs
+
+    subroutine mgxsang_calculate_xs(this, gin, uvw, xs)
+      class(MgxsAngle),      intent(in)    :: this
+      integer,               intent(in)    :: gin    ! Incoming neutron group
+      real(8),               intent(in)    :: uvw(3) ! Incoming neutron direction
+      type(MaterialMacroXS), intent(inout) :: xs     ! Resultant Mgxs Data
+
+      integer :: iazi, ipol
+
+      call find_angle(this % polar, this % azimuthal, uvw, iazi, ipol)
+      xs % total         = this % total(gin, iazi, ipol)
+      xs % elastic       = this % scatter(iazi, ipol) % obj % scattxs(gin)
+      xs % absorption    = this % absorption(gin, iazi, ipol)
+      xs % fission       = this % fission(gin, iazi, ipol)
+      xs % nu_fission    = this % nu_fission(gin, iazi, ipol)
+
+    end subroutine mgxsang_calculate_xs
+
+!===============================================================================
+! find_angle finds the closest angle on the data grid and returns that index
+!===============================================================================
+
+    pure subroutine find_angle(polar, azimuthal, uvw, i_azi, i_pol)
+      real(8), intent(in) :: polar(:)     ! Polar angles [0,pi]
+      real(8), intent(in) :: azimuthal(:) ! Azi. angles [-pi,pi]
+      real(8), intent(in) :: uvw(3)       ! Direction of motion
+      integer, intent(inout) :: i_pol     ! Closest polar bin
+      integer, intent(inout) :: i_azi     ! Closest azi bin
+
+      real(8) :: my_pol, my_azi, dangle
+
+      ! Convert uvw to polar and azi
+
+      my_pol = acos(uvw(3))
+      my_azi = atan2(uvw(2), uvw(1))
+
+      ! Search for equi-binned angles
+      dangle = PI / real(size(polar),8)
+      i_pol  = floor(my_pol / dangle + ONE)
+      dangle = TWO * PI / real(size(azimuthal),8)
+      i_azi  = floor((my_azi + PI) / dangle + ONE)
+
+    end subroutine find_angle
+
+end module mgxs_header
\ No newline at end of file
diff --git a/src/multipole.F90 b/src/multipole.F90
new file mode 100644
index 0000000000..3820025369
--- /dev/null
+++ b/src/multipole.F90
@@ -0,0 +1,195 @@
+module multipole
+
+  use constants
+  use global
+  use hdf5
+  use hdf5_interface
+  use multipole_header, only: MultipoleArray, FIT_T, FIT_A, FIT_F, &
+                              MP_FISS, FORM_MLBW, FORM_RM
+
+  implicit none
+
+contains
+
+!===============================================================================
+! MULTIPOLE_READ Reads in a multipole HDF5 file with the original API
+! specification.  Subject to change as the library format matures.
+!===============================================================================
+
+  subroutine multipole_read(filename, multipole, i_table)
+    character(len=*), intent(in)              :: filename  ! Filename of the
+                                                           !  multipole library
+                                                           !  to load
+    type(MultipoleArray), intent(out), target :: multipole ! The object to fill
+    integer, intent(in)                       :: i_table   ! index in nuclides/
+                                                           !  sab_tables
+
+    integer(HID_T) :: file_id
+    integer(HID_T) :: group_id
+
+    ! Intermediate loading components
+    character(len=10) :: version
+    integer :: NMT
+    integer :: i, j
+    integer, allocatable :: MT(:)
+    logical :: accumulated_fission
+    character(len=24) :: MT_n ! Takes the form '/nuclide/reactions/MT???'
+    integer :: is_fissionable
+
+    associate (nuc => nuclides(i_table))
+
+      ! Open file for reading and move into the /isotope group
+      file_id = file_open(filename, 'r', parallel=.true.)
+      group_id = open_group(file_id, "/nuclide")
+
+      ! Check the file version number.
+      call read_dataset(version, file_id, "version")
+      if (version /= MULTIPOLE_VERSION) call fatal_error("The current multipole&
+           & format version is " // trim(MULTIPOLE_VERSION) // " but the file "&
+           // trim(filename) // " uses version " // trim(version))
+
+      ! Load in all the array size scalars
+      call read_dataset(multipole % length, group_id, "length")
+      call read_dataset(multipole % windows, group_id, "windows")
+      call read_dataset(multipole % num_l, group_id, "num_l")
+      call read_dataset(multipole % fit_order, group_id, "fit_order")
+      call read_dataset(multipole % max_w, group_id, "max_w")
+      call read_dataset(is_fissionable, group_id, "fissionable")
+      if (is_fissionable == MP_FISS) then
+        multipole % fissionable = .true.
+      else
+        multipole % fissionable = .false.
+      end if
+      call read_dataset(multipole % formalism, group_id, "formalism")
+
+      call read_dataset(multipole % spacing, group_id, "spacing")
+      call read_dataset(multipole % sqrtAWR, group_id, "sqrtAWR")
+      call read_dataset(multipole % start_E, group_id, "start_E")
+      call read_dataset(multipole % end_E, group_id, "end_E")
+
+      ! Allocate the multipole array components
+      call multipole % allocate()
+
+      ! Read in arrays
+      call read_dataset(multipole % data, group_id, "data")
+      call read_dataset(multipole % pseudo_k0RS, group_id, "pseudo_K0RS")
+      call read_dataset(multipole % l_value, group_id, "l_value")
+      call read_dataset(multipole % w_start, group_id, "w_start")
+      call read_dataset(multipole % w_end, group_id, "w_end")
+      call read_dataset(multipole % broaden_poly, group_id, "broaden_poly")
+
+      call read_dataset(multipole % curvefit, group_id, "curvefit")
+
+      ! Delete ACE pointwise data
+      call read_dataset(nuc % n_grid, group_id, "n_grid")
+
+      deallocate(nuc % energy)
+      deallocate(nuc % total)
+      deallocate(nuc % elastic)
+      deallocate(nuc % fission)
+      deallocate(nuc % nu_fission)
+      deallocate(nuc % absorption)
+
+      allocate(nuc % energy(nuc % n_grid))
+      allocate(nuc % total(nuc % n_grid))
+      allocate(nuc % elastic(nuc % n_grid))
+      allocate(nuc % fission(nuc % n_grid))
+      allocate(nuc % nu_fission(nuc % n_grid))
+      allocate(nuc % absorption(nuc % n_grid))
+
+      nuc % total(:) = ZERO
+      nuc % absorption(:) = ZERO
+      nuc % fission(:) = ZERO
+
+      ! Read in new energy axis (converting eV to MeV)
+      call read_dataset(nuc % energy, group_id, "energy_points")
+      nuc % energy = nuc % energy / 1.0e6_8
+
+      ! Get count and list of MT tables
+      call read_dataset(NMT, group_id, "MT_count")
+      allocate(MT(NMT))
+
+      call read_dataset(MT, group_id, "MT_list")
+
+      call close_group(group_id)
+
+      accumulated_fission = .false.
+
+      ! Loop over each MT entry and load it into a reaction.
+      do i = 1, NMT
+        write(MT_n, '(A, I3.3)') '/nuclide/reactions/MT', MT(i)
+
+        group_id = open_group(file_id, MT_n)
+
+        ! Each MT needs to be treated slightly differently.
+        select case (MT(i))
+          case(ELASTIC)
+            call read_dataset(nuc % elastic, group_id, "MT_sigma")
+            nuc % total(:) = nuc % total + nuc % elastic
+          case(N_FISSION)
+            call read_dataset(nuc % fission, group_id, "MT_sigma")
+            nuc % total(:) = nuc % total + nuc % fission
+            nuc % absorption(:) = nuc % absorption + nuc % fission
+            accumulated_fission = .true.
+          case default
+            ! Search through all of our secondary reactions
+            do j = 1, nuc % n_reaction
+              if (nuc % reactions(j) % MT == MT(i)) then
+                ! Match found
+
+                ! Individual Fission components exist, so remove the combined
+                ! fission cross section.
+                if ( (MT(i) == N_F .or. MT(i) == N_NF .or. MT(i) == N_2NF &
+                      .or. MT(i) == N_3NF) .and. accumulated_fission) then
+                  nuc % total(:) = nuc % total - nuc % fission
+                  nuc % absorption(:) = nuc % absorption - nuc % fission
+                  nuc % fission(:) = ZERO
+                  accumulated_fission = .false.
+                end if
+
+                deallocate(nuc % reactions(j) % sigma)
+                allocate(nuc % reactions(j) % sigma(nuc % n_grid))
+
+                call read_dataset(nuc % reactions(j) % sigma, &
+                                  group_id, "MT_sigma")
+                call read_dataset(nuc % reactions(j) % Q_value, &
+                                  group_id, "Q_value")
+                call read_dataset(nuc % reactions(j) % threshold, &
+                                  group_id, "threshold")
+                nuc % reactions(j) % threshold = 1 ! TODO: reconsider implications.
+                nuc % reactions(j) % Q_value = nuc % reactions(j) % Q_value &
+                                               / 1.0e6_8
+
+                ! Accumulate total
+                if (MT(i) /= N_LEVEL .and. MT(i) <= N_DA) then
+                  nuc % total(:) = nuc % total + nuc % reactions(j) % sigma
+                end if
+
+                ! Accumulate absorption
+                if (MT(i) >= N_GAMMA .and. MT(i) <= N_DA) then
+                  nuc % absorption(:) = nuc % absorption &
+                                        + nuc % reactions(j) % sigma
+                end if
+
+                ! Accumulate fission (if needed)
+                if ( (MT(i) == N_F .or. MT(i) == N_NF .or. MT(i) == N_2NF &
+                      .or. MT(i) == N_3NF) ) then
+                  nuc % fission(:) = nuc % fission + nuc % reactions(j) % sigma
+                  nuc % absorption(:) = nuc % absorption &
+                                        + nuc % reactions(j) % sigma
+                end if
+              end if
+            end do
+        end select
+
+        call close_group(group_id)
+      end do
+
+      ! Close file
+      call file_close(file_id)
+
+    end associate
+
+  end subroutine multipole_read
+
+end module multipole
diff --git a/src/multipole_header.F90 b/src/multipole_header.F90
new file mode 100644
index 0000000000..143047b0b5
--- /dev/null
+++ b/src/multipole_header.F90
@@ -0,0 +1,128 @@
+module multipole_header
+
+  implicit none
+
+  !========================================================================
+  ! Multipole related constants
+
+  ! Formalisms
+  integer, parameter :: FORM_MLBW = 2, &
+                        FORM_RM   = 3, &
+                        FORM_RML  = 7
+
+  ! Constants that determine which value to access
+  integer, parameter :: MP_EA = 1       ! Pole
+
+  ! Reich-Moore indices
+  integer, parameter :: RM_RT = 2, &    ! Residue total
+                        RM_RA = 3, &    ! Residue absorption
+                        RM_RF = 4       ! Residue fission
+
+  ! Multi-level Breit Wigner indices
+  integer, parameter :: MLBW_RT = 2, &  ! Residue total
+                        MLBW_RX = 3, &  ! Residue compettitive
+                        MLBW_RA = 4, &  ! Residue absorption
+                        MLBW_RF = 5     ! Residue fission
+
+  ! Polynomial fit indices
+  integer, parameter :: FIT_T = 1, &    ! Total
+                        FIT_A = 2, &    ! Absorption
+                        FIT_F = 3       ! Fission
+
+  ! Value of 'true' when checking if nuclide is fissionable
+  integer, parameter :: MP_FISS = 1
+
+!===============================================================================
+! MULTIPOLE contains all the components needed for the windowed multipole
+! temperature dependent cross section libraries for the resolved resonance
+! region.
+!===============================================================================
+
+  type MultipoleArray
+
+    !=========================================================================
+    ! Isotope Properties
+    logical                 :: fissionable = .false.  ! Is this isotope fissionable?
+    integer                 :: length                 ! Number of poles
+    integer, allocatable    :: l_value(:)             ! The l index of the pole
+    real(8), allocatable    :: pseudo_k0RS(:)         ! The value (sqrt(2*mass neutron)/reduced planck constant)
+                                                      ! * AWR/(AWR + 1) * scattering radius for each l
+    complex(8), allocatable :: data(:,:)              ! Contains all of the pole-residue data
+    real(8)                 :: sqrtAWR                ! Square root of the atomic weight ratio
+
+    !=========================================================================
+    ! Windows
+
+    integer :: windows                      ! Number of windows
+    integer :: fit_order                    ! Order of the fit. 1 linear, 2 quadratic, etc.
+    real(8) :: start_E                      ! Start energy for the windows
+    real(8) :: end_E                        ! End energy for the windows
+    real(8) :: spacing                      ! The actual spacing in sqrt(E) space.
+    ! spacing = sqrt(multipole_w%endE - multipole_w%startE)/multipole_w%windows
+    integer, allocatable :: w_start(:)      ! Contains the index of the pole at the start of the window
+    integer, allocatable :: w_end(:)        ! Contains the index of the pole at the end of the window
+    real(8), allocatable :: curvefit(:,:,:) ! Contains the fitting function.  (reaction type, coeff index, window index)
+
+    integer, allocatable :: broaden_poly(:) ! if 1, broaden, if 0, don't.
+
+    !=========================================================================
+    ! Storage Helpers
+    integer :: num_l
+    integer :: max_w
+
+    integer :: formalism
+
+    contains
+      procedure :: allocate => multipole_allocate ! Allocates Multipole
+  end type MultipoleArray
+
+contains
+
+!===============================================================================
+! MULTIPOLE_ALLOCATE allocates necessary data for Multipole.
+!===============================================================================
+
+    subroutine multipole_allocate(multipole)
+      class(MultipoleArray), intent(inout)        :: multipole   ! Multipole object to allocate.
+
+      ! This function assumes length, numL, fissionable, windows, fitorder,
+      ! and formalism are known
+
+      ! Allocate the pole-residue storage.
+      ! MLBW has one more pole than Reich-Moore, and fissionable nuclides
+      ! have further one more.
+      if (multipole % formalism == FORM_MLBW) then
+        if (multipole % fissionable) then
+          allocate(multipole % data(5, multipole % length))
+        else
+          allocate(multipole % data(4, multipole % length))
+        end if
+      else if (multipole % formalism == FORM_RM) then
+        if (multipole % fissionable) then
+          allocate(multipole % data(4, multipole % length))
+        else
+          allocate(multipole % data(3, multipole % length))
+        end if
+      end if
+
+      ! Allocate the l value table for each pole-residue set.
+      allocate(multipole % l_value(multipole % length))
+
+      ! Allocate the table of pseudo_k0RS values at each l.
+      allocate(multipole % pseudo_k0RS(multipole % num_l))
+
+      ! Allocate window start, window end
+      allocate(multipole % w_start(multipole % windows))
+      allocate(multipole % w_end(multipole % windows))
+
+      ! Allocate broaden_poly
+      allocate(multipole % broaden_poly(multipole % windows))
+
+      ! Allocate curvefit
+      if(multipole % fissionable) then
+        allocate(multipole % curvefit(FIT_F, multipole % fit_order+1, multipole % windows))
+      else
+        allocate(multipole % curvefit(FIT_A, multipole % fit_order+1, multipole % windows))
+      end if
+    end subroutine
+end module multipole_header
diff --git a/src/nuclide_header.F90 b/src/nuclide_header.F90
new file mode 100644
index 0000000000..2c59e700d4
--- /dev/null
+++ b/src/nuclide_header.F90
@@ -0,0 +1,330 @@
+module nuclide_header
+
+  use, intrinsic :: ISO_FORTRAN_ENV
+
+  use constants
+  use dict_header, only: DictIntInt
+  use endf,        only: reaction_name, is_fission, is_disappearance
+  use endf_header, only: Function1D
+  use error,       only: fatal_error, warning
+  use list_header, only: ListInt
+  use math,        only: evaluate_legendre
+  use multipole_header, only: MultipoleArray
+  use product_header, only: AngleEnergyContainer
+  use reaction_header, only: Reaction
+  use stl_vector,  only: VectorInt
+  use string
+  use urr_header, only: UrrData
+  use xml_interface
+
+  implicit none
+
+!===============================================================================
+! Nuclide contains the base nuclidic data for a nuclide described as needed
+! for continuous-energy neutron transport.
+!===============================================================================
+
+  type :: Nuclide
+    ! Nuclide meta-data
+    character(12) :: name    ! name of nuclide, e.g. 92235.03c
+    integer       :: zaid    ! Z and A identifier, e.g. 92235
+    real(8)       :: awr     ! Atomic Weight Ratio
+    integer       :: listing ! index in xs_listings
+    real(8)       :: kT      ! temperature in MeV (k*T)
+
+    ! Fission information
+    logical :: fissionable   ! nuclide is fissionable?
+
+    ! Energy grid information
+    integer :: n_grid                     ! # of nuclide grid points
+    integer, allocatable :: grid_index(:) ! log grid mapping indices
+    real(8), allocatable :: energy(:)     ! energy values corresponding to xs
+
+    ! Microscopic cross sections
+    real(8), allocatable :: total(:)      ! total cross section
+    real(8), allocatable :: elastic(:)    ! elastic scattering
+    real(8), allocatable :: fission(:)    ! fission
+    real(8), allocatable :: nu_fission(:) ! neutron production
+    real(8), allocatable :: absorption(:) ! absorption (MT > 100)
+    real(8), allocatable :: heating(:)    ! heating
+
+    ! Resonance scattering info
+    logical              :: resonant = .false. ! resonant scatterer?
+    character(10)        :: name_0K = '' ! name of 0K nuclide, e.g. 92235.00c
+    character(16)        :: scheme ! target velocity sampling scheme
+    integer              :: n_grid_0K ! number of 0K energy grid points
+    real(8), allocatable :: energy_0K(:)  ! energy grid for 0K xs
+    real(8), allocatable :: elastic_0K(:) ! Microscopic elastic cross section
+    real(8), allocatable :: xs_cdf(:) ! CDF of v_rel times cross section
+    real(8)              :: E_min ! lower cutoff energy for res scattering
+    real(8)              :: E_max ! upper cutoff energy for res scattering
+
+    ! Fission information
+    logical :: has_partial_fission = .false. ! nuclide has partial fission reactions?
+    integer :: n_fission                     ! # of fission reactions
+    integer :: n_precursor = 0               ! # of delayed neutron precursors
+    integer, allocatable :: index_fission(:) ! indices in reactions
+    class(Function1D), allocatable :: total_nu
+
+    ! Unresolved resonance data
+    logical                :: urr_present
+    integer                :: urr_inelastic
+    type(UrrData), pointer :: urr_data => null()
+
+    ! Multipole data
+    logical                       :: mp_present = .false.
+    type(MultipoleArray), pointer :: multipole => null()
+
+    ! Reactions
+    integer :: n_reaction ! # of reactions
+    type(Reaction), allocatable :: reactions(:)
+    type(DictIntInt) :: reaction_index ! map MT values to index in reactions
+                                       ! array; used at tally-time
+
+  contains
+    procedure :: clear => nuclide_clear
+    procedure :: print => nuclide_print
+    procedure :: nu    => nuclide_nu
+  end type Nuclide
+
+!===============================================================================
+! NUCLIDE0K temporarily contains all 0K cross section data and other parameters
+! needed to treat resonance scattering before transferring them to Nuclide
+!===============================================================================
+
+  type Nuclide0K
+    character(10) :: nuclide             ! name of nuclide, e.g. U-238
+    character(16) :: scheme = 'ares'     ! target velocity sampling scheme
+    character(10) :: name                ! name of nuclide, e.g. 92235.03c
+    character(10) :: name_0K             ! name of 0K nuclide, e.g. 92235.00c
+    real(8)       :: E_min = 0.01e-6_8   ! lower cutoff energy for res scattering
+    real(8)       :: E_max = 1000.0e-6_8 ! upper cutoff energy for res scattering
+  end type Nuclide0K
+
+!===============================================================================
+! NUCLIDEMICROXS contains cached microscopic cross sections for a
+! particular nuclide at the current energy
+!===============================================================================
+
+  type NuclideMicroXS
+    integer :: index_grid      ! index on nuclide energy grid
+    integer :: index_temp      ! temperature index for nuclide
+    real(8) :: last_E = ZERO   ! last evaluated energy
+    real(8) :: interp_factor   ! interpolation factor on nuc. energy grid
+    real(8) :: total           ! microscropic total xs
+    real(8) :: elastic         ! microscopic elastic scattering xs
+    real(8) :: absorption      ! microscopic absorption xs
+    real(8) :: fission         ! microscopic fission xs
+    real(8) :: nu_fission      ! microscopic production xs
+
+    ! Information for S(a,b) use
+    integer :: index_sab          ! index in sab_tables (zero means no table)
+    integer :: last_index_sab = 0 ! index in sab_tables last used by this nuclide
+    real(8) :: elastic_sab        ! microscopic elastic scattering on S(a,b) table
+
+    ! Information for URR probability table use
+    logical :: use_ptable  ! in URR range with probability tables?
+
+    ! Information for Doppler broadening
+    real(8) :: last_sqrtkT = ZERO  ! Last temperature in sqrt(Boltzmann
+                                   ! constant * temperature (MeV))
+  end type NuclideMicroXS
+
+!===============================================================================
+! MATERIALMACROXS contains cached macroscopic cross sections for the material a
+! particle is traveling through
+!===============================================================================
+
+  type MaterialMacroXS
+    real(8) :: total         ! macroscopic total xs
+    real(8) :: elastic       ! macroscopic elastic scattering xs
+    real(8) :: absorption    ! macroscopic absorption xs
+    real(8) :: fission       ! macroscopic fission xs
+    real(8) :: nu_fission    ! macroscopic production xs
+  end type MaterialMacroXS
+
+!===============================================================================
+! XSLISTING contains data read from a CE or MG cross_sections.xml file
+! (or equivalent)
+!===============================================================================
+
+  type XsListing
+    character(12) :: name       ! table name, e.g. 92235.70c
+    character(12) :: alias      ! table alias, e.g. U-235.70c
+    integer       :: type       ! type of table (cont-E neutron, S(A,b), etc)
+    integer       :: zaid       ! ZAID identifier = 1000*Z + A
+    integer       :: filetype   ! ASCII or BINARY
+    integer       :: location   ! location of table within library
+    integer       :: recl       ! record length for library
+    integer       :: entries    ! number of entries per record
+    real(8)       :: awr        ! atomic weight ratio (# of neutron masses)
+    real(8)       :: kT         ! Boltzmann constant * temperature (MeV)
+    logical       :: metastable ! is this nuclide metastable?
+    character(MAX_FILE_LEN) :: path ! path to library containing table
+  end type XsListing
+
+  contains
+
+!===============================================================================
+! NUCLIDE_CLEAR resets and deallocates data in Nuclide
+!===============================================================================
+
+  subroutine nuclide_clear(this)
+    class(Nuclide), intent(inout) :: this ! The Nuclide object to clear
+
+    if (associated(this % urr_data)) deallocate(this % urr_data)
+
+    call this % reaction_index % clear()
+
+    if (associated(this % multipole)) deallocate(this % multipole)
+
+  end subroutine nuclide_clear
+
+!===============================================================================
+! NUCLIDE_NU is an interface to the number of fission neutrons produced
+!===============================================================================
+
+  function nuclide_nu(this, E, emission_mode, group) result(nu)
+    class(Nuclide),    intent(in) :: this
+    real(8),           intent(in) :: E
+    integer,           intent(in) :: emission_mode
+    integer, optional, intent(in) :: group
+    real(8)                       :: nu
+
+    integer :: i
+
+    if (.not. this % fissionable) then
+      nu = ZERO
+      return
+    end if
+
+    select case (emission_mode)
+    case (EMISSION_PROMPT)
+      associate (product => this % reactions(this % index_fission(1)) % products(1))
+        nu = product % yield % evaluate(E)
+      end associate
+
+    case (EMISSION_DELAYED)
+      if (this % n_precursor > 0) then
+        if (present(group)) then
+          ! If delayed group specified, determine yield immediately
+          associate(p => this % reactions(this % index_fission(1)) % products(1 + group))
+            nu = p % yield % evaluate(E)
+          end associate
+
+        else
+          nu = ZERO
+
+          associate (rx => this % reactions(this % index_fission(1)))
+            do i = 2, size(rx % products)
+              associate (product => rx % products(i))
+                ! Skip any non-neutron products
+                if (product % particle /= NEUTRON) exit
+
+                ! Evaluate yield
+                if (product % emission_mode == EMISSION_DELAYED) then
+                  nu = nu + product % yield % evaluate(E)
+                end if
+              end associate
+            end do
+          end associate
+        end if
+      else
+        nu = ZERO
+      end if
+
+    case (EMISSION_TOTAL)
+      if (allocated(this % total_nu)) then
+        nu = this % total_nu % evaluate(E)
+      else
+        associate (rx => this % reactions(this % index_fission(1)))
+          nu = rx % products(1) % yield % evaluate(E)
+        end associate
+      end if
+    end select
+
+  end function nuclide_nu
+
+
+!===============================================================================
+! NUCLIDE*_PRINT displays information about a continuous-energy neutron
+! cross_section table and its reactions and secondary angle/energy distributions
+!===============================================================================
+
+  subroutine nuclide_print(this, unit)
+    class(Nuclide), intent(in) :: this
+    integer, intent(in), optional :: unit
+
+    integer :: i                 ! loop index over nuclides
+    integer :: unit_             ! unit to write to
+    integer :: size_xs           ! memory used for cross-sections (bytes)
+    integer :: size_urr          ! memory used for probability tables (bytes)
+
+    ! set default unit for writing information
+    if (present(unit)) then
+      unit_ = unit
+    else
+      unit_ = OUTPUT_UNIT
+    end if
+
+    ! Initialize totals
+    size_urr = 0
+    size_xs = 0
+
+    ! Basic nuclide information
+    write(unit_,*) 'Nuclide ' // trim(this % name)
+    write(unit_,*) '  zaid = ' // trim(to_str(this % zaid))
+    write(unit_,*) '  awr = ' // trim(to_str(this % awr))
+    write(unit_,*) '  kT = ' // trim(to_str(this % kT))
+    write(unit_,*) '  # of grid points = ' // trim(to_str(this % n_grid))
+    write(unit_,*) '  Fissionable = ', this % fissionable
+    write(unit_,*) '  # of fission reactions = ' // trim(to_str(this % n_fission))
+    write(unit_,*) '  # of reactions = ' // trim(to_str(this % n_reaction))
+
+    ! Information on each reaction
+    write(unit_,*) '  Reaction     Q-value  COM    IE'
+    do i = 1, this % n_reaction
+      associate (rxn => this % reactions(i))
+        write(unit_,'(3X,A11,1X,F8.3,3X,L1,3X,I6)') &
+             reaction_name(rxn % MT), rxn % Q_value, rxn % scatter_in_cm, &
+             rxn % threshold
+
+        ! Accumulate data size
+        size_xs = size_xs + (this % n_grid - rxn%threshold + 1) * 8
+      end associate
+    end do
+
+    ! Add memory required for summary reactions (total, absorption, fission,
+    ! nu-fission)
+    size_xs = 8 * this % n_grid * 4
+
+    ! Write information about URR probability tables
+    size_urr = 0
+    if (this % urr_present) then
+      associate(urr => this % urr_data)
+        write(unit_,*) '  Unresolved resonance probability table:'
+        write(unit_,*) '    # of energies = ' // trim(to_str(urr % n_energy))
+        write(unit_,*) '    # of probabilities = ' // trim(to_str(urr % n_prob))
+        write(unit_,*) '    Interpolation =  ' // trim(to_str(urr % interp))
+        write(unit_,*) '    Inelastic flag = ' // trim(to_str(urr % inelastic_flag))
+        write(unit_,*) '    Absorption flag = ' // trim(to_str(urr % absorption_flag))
+        write(unit_,*) '    Multiply by smooth? ', urr % multiply_smooth
+        write(unit_,*) '    Min energy = ', trim(to_str(urr % energy(1)))
+        write(unit_,*) '    Max energy = ', trim(to_str(urr % energy(urr % n_energy)))
+
+        ! Calculate memory used by probability tables and add to total
+        size_urr = urr % n_energy * (urr % n_prob * 6 + 1) * 8
+      end associate
+    end if
+
+    ! Write memory used
+    write(unit_,*) '  Memory Requirements'
+    write(unit_,*) '    Cross sections = ' // trim(to_str(size_xs)) // ' bytes'
+    write(unit_,*) '    Probability Tables = ' // &
+         trim(to_str(size_urr)) // ' bytes'
+
+    ! Blank line at end of nuclide
+    write(unit_,*)
+  end subroutine nuclide_print
+
+end module nuclide_header
diff --git a/src/output.F90 b/src/output.F90
index c31b20b70b..d7dfe7e1c2 100644
--- a/src/output.F90
+++ b/src/output.F90
@@ -2,7 +2,6 @@ module output
 
   use, intrinsic :: ISO_FORTRAN_ENV
 
-  use ace_header,      only: Nuclide, Reaction, UrrData
   use constants
   use endf,            only: reaction_name
   use error,           only: fatal_error, warning
@@ -12,8 +11,10 @@ module output
   use math,            only: t_percentile
   use mesh_header,     only: RegularMesh
   use mesh,            only: mesh_indices_to_bin, bin_to_mesh_indices
+  use nuclide_header
   use particle_header, only: LocalCoord, Particle
   use plot_header
+  use sab_header,      only: SAlphaBeta
   use string,          only: to_upper, to_str
   use tally_header,    only: TallyObject
 
@@ -51,9 +52,9 @@ contains
 
     ! Write version information
     write(UNIT=OUTPUT_UNIT, FMT=*) &
-         '     Copyright:      2011-2015 Massachusetts Institute of Technology'
+         '     Copyright:      2011-2016 Massachusetts Institute of Technology'
     write(UNIT=OUTPUT_UNIT, FMT=*) &
-         '     License:        http://mit-crpg.github.io/openmc/license.html'
+         '     License:        http://openmc.readthedocs.io/en/latest/license.html'
     write(UNIT=OUTPUT_UNIT, FMT='(6X,"Version:",8X,I1,".",I1,".",I1)') &
          VERSION_MAJOR, VERSION_MINOR, VERSION_RELEASE
 #ifdef GIT_SHA1
@@ -100,9 +101,9 @@ contains
 !===============================================================================
 
   subroutine header(msg, unit, level)
-    character(*), intent(in) :: msg ! header message
-    integer, intent(in), optional :: unit       ! unit to write to
-    integer, intent(in), optional :: level      ! specified header level
+    character(*), intent(in)      :: msg   ! header message
+    integer, intent(in), optional :: unit  ! unit to write to
+    integer, intent(in), optional :: level ! specified header level
 
     integer :: n            ! number of = signs on left
     integer :: m            ! number of = signs on right
@@ -305,209 +306,16 @@ contains
 
     ! Display weight, energy, grid index, and interpolation factor
     write(ou,*) '  Weight = ' // to_str(p % wgt)
-    write(ou,*) '  Energy = ' // to_str(p % E)
+    if (run_CE) then
+      write(ou,*) '  Energy = ' // to_str(p % E)
+    else
+      write(ou,*) '  Energy Group = ' // to_str(p % g)
+    end if
     write(ou,*) '  Delayed Group = ' // to_str(p % delayed_group)
     write(ou,*)
 
   end subroutine print_particle
 
-!===============================================================================
-! PRINT_NUCLIDE displays information about a continuous-energy neutron
-! cross_section table and its reactions and secondary angle/energy distributions
-!===============================================================================
-
-  subroutine print_nuclide(nuc, unit)
-    type(Nuclide), intent(in) :: nuc
-    integer, intent(in), optional :: unit
-
-    integer :: i                 ! loop index over nuclides
-    integer :: unit_             ! unit to write to
-    integer :: size_total        ! memory used by nuclide (bytes)
-    integer :: size_angle_total  ! total memory used for angle dist. (bytes)
-    integer :: size_energy_total ! total memory used for energy dist. (bytes)
-    integer :: size_xs           ! memory used for cross-sections (bytes)
-    integer :: size_angle        ! memory used for an angle distribution (bytes)
-    integer :: size_energy       ! memory used for a  energy distributions (bytes)
-    integer :: size_urr          ! memory used for probability tables (bytes)
-    character(11) :: law         ! secondary energy distribution law
-    type(UrrData),  pointer :: urr
-
-    ! set default unit for writing information
-    if (present(unit)) then
-      unit_ = unit
-    else
-      unit_ = OUTPUT_UNIT
-    end if
-
-    ! Initialize totals
-    size_angle_total = 0
-    size_energy_total = 0
-    size_urr = 0
-    size_xs = 0
-
-    ! Basic nuclide information
-    write(unit_,*) 'Nuclide ' // trim(nuc % name)
-    write(unit_,*) '  zaid = ' // trim(to_str(nuc % zaid))
-    write(unit_,*) '  awr = ' // trim(to_str(nuc % awr))
-    write(unit_,*) '  kT = ' // trim(to_str(nuc % kT))
-    write(unit_,*) '  # of grid points = ' // trim(to_str(nuc % n_grid))
-    write(unit_,*) '  Fissionable = ', nuc % fissionable
-    write(unit_,*) '  # of fission reactions = ' // trim(to_str(nuc % n_fission))
-    write(unit_,*) '  # of reactions = ' // trim(to_str(nuc % n_reaction))
-
-    ! Information on each reaction
-    write(unit_,*) '  Reaction     Q-value  COM  Law    IE    size(angle) size(energy)'
-    do i = 1, nuc % n_reaction
-      associate (rxn => nuc % reactions(i))
-        ! Determine size of angle distribution
-        if (rxn % has_angle_dist) then
-          size_angle = rxn % adist % n_energy * 16 + size(rxn % adist % data) * 8
-        else
-          size_angle = 0
-        end if
-
-        ! Determine size of energy distribution and law
-        if (rxn % has_energy_dist) then
-          size_energy = size(rxn % edist % data) * 8
-          law = to_str(rxn % edist % law)
-        else
-          size_energy = 0
-          law = 'None'
-        end if
-
-        write(unit_,'(3X,A11,1X,F8.3,3X,L1,3X,A4,1X,I6,1X,I11,1X,I11)') &
-             reaction_name(rxn % MT), rxn % Q_value, rxn % scatter_in_cm, &
-             law(1:4), rxn % threshold, size_angle, size_energy
-
-        ! Accumulate data size
-        size_xs = size_xs + (nuc % n_grid - rxn%threshold + 1) * 8
-        size_angle_total = size_angle_total + size_angle
-        size_energy_total = size_energy_total + size_energy
-      end associate
-    end do
-
-    ! Add memory required for summary reactions (total, absorption, fission,
-    ! nu-fission)
-    size_xs = 8 * nuc % n_grid * 4
-
-    ! Write information about URR probability tables
-    size_urr = 0
-    if (nuc % urr_present) then
-      urr => nuc % urr_data
-      write(unit_,*) '  Unresolved resonance probability table:'
-      write(unit_,*) '    # of energies = ' // trim(to_str(urr % n_energy))
-      write(unit_,*) '    # of probabilities = ' // trim(to_str(urr % n_prob))
-      write(unit_,*) '    Interpolation =  ' // trim(to_str(urr % interp))
-      write(unit_,*) '    Inelastic flag = ' // trim(to_str(urr % inelastic_flag))
-      write(unit_,*) '    Absorption flag = ' // trim(to_str(urr % absorption_flag))
-      write(unit_,*) '    Multiply by smooth? ', urr % multiply_smooth
-      write(unit_,*) '    Min energy = ', trim(to_str(urr % energy(1)))
-      write(unit_,*) '    Max energy = ', trim(to_str(urr % energy(urr % n_energy)))
-
-      ! Calculate memory used by probability tables and add to total
-      size_urr = urr % n_energy * (urr % n_prob * 6 + 1) * 8
-    end if
-
-    ! Calculate total memory
-    size_total = size_xs + size_angle_total + size_energy_total + size_urr
-
-    ! Write memory used
-    write(unit_,*) '  Memory Requirements'
-    write(unit_,*) '    Cross sections = ' // trim(to_str(size_xs)) // ' bytes'
-    write(unit_,*) '    Secondary angle distributions = ' // &
-         trim(to_str(size_angle_total)) // ' bytes'
-    write(unit_,*) '    Secondary energy distributions = ' // &
-         trim(to_str(size_energy_total)) // ' bytes'
-    write(unit_,*) '    Probability Tables = ' // &
-         trim(to_str(size_urr)) // ' bytes'
-    write(unit_,*) '    Total = ' // trim(to_str(size_total)) // ' bytes'
-
-    ! Blank line at end of nuclide
-    write(unit_,*)
-
-  end subroutine print_nuclide
-
-!===============================================================================
-! PRINT_SAB_TABLE displays information about a S(a,b) table containing data
-! describing thermal scattering from bound materials such as hydrogen in water.
-!===============================================================================
-
-  subroutine print_sab_table(sab, unit)
-    type(SAlphaBeta), intent(in) :: sab
-    integer, intent(in), optional :: unit
-
-    integer :: size_sab   ! memory used by S(a,b) table
-    integer :: unit_      ! unit to write to
-    integer :: i          ! Loop counter for parsing through sab % zaid
-    integer :: char_count ! Counter for the number of characters on a line
-
-    ! set default unit for writing information
-    if (present(unit)) then
-      unit_ = unit
-    else
-      unit_ = OUTPUT_UNIT
-    end if
-
-    ! Basic S(a,b) table information
-    write(unit_,*) 'S(a,b) Table ' // trim(sab % name)
-    write(unit_,'(A)',advance="no") '   zaids = '
-    ! Initialize the counter based on the above string
-    char_count = 11
-    do i = 1, sab % n_zaid
-      ! Deal with a line thats too long
-      if (char_count >= 73) then  ! 73 = 80 - (5 ZAID chars + 1 space + 1 comma)
-        ! End the line
-        write(unit_,*) ""
-        ! Add 11 leading blanks
-        write(unit_,'(A)', advance="no") "           "
-        ! reset the counter to 11
-        char_count = 11
-      end if
-      if (i < sab % n_zaid) then
-        ! Include a comma
-        write(unit_,'(A)',advance="no") trim(to_str(sab % zaid(i))) // ", "
-        char_count = char_count + len(trim(to_str(sab % zaid(i)))) + 2
-      else
-        ! Don't include a comma, since we are all done
-        write(unit_,'(A)',advance="no") trim(to_str(sab % zaid(i)))
-      end if
-
-    end do
-    write(unit_,*) "" ! Move to next line
-    write(unit_,*) '  awr = ' // trim(to_str(sab % awr))
-    write(unit_,*) '  kT = ' // trim(to_str(sab % kT))
-
-    ! Inelastic data
-    write(unit_,*) '  # of Incoming Energies (Inelastic) = ' // &
-         trim(to_str(sab % n_inelastic_e_in))
-    write(unit_,*) '  # of Outgoing Energies (Inelastic) = ' // &
-         trim(to_str(sab % n_inelastic_e_out))
-    write(unit_,*) '  # of Outgoing Angles (Inelastic) = ' // &
-         trim(to_str(sab % n_inelastic_mu))
-    write(unit_,*) '  Threshold for Inelastic = ' // &
-         trim(to_str(sab % threshold_inelastic))
-
-    ! Elastic data
-    if (sab % n_elastic_e_in > 0) then
-      write(unit_,*) '  # of Incoming Energies (Elastic) = ' // &
-           trim(to_str(sab % n_elastic_e_in))
-      write(unit_,*) '  # of Outgoing Angles (Elastic) = ' // &
-           trim(to_str(sab % n_elastic_mu))
-      write(unit_,*) '  Threshold for Elastic = ' // &
-           trim(to_str(sab % threshold_elastic))
-    end if
-
-    ! Determine memory used by S(a,b) table and write out
-    size_sab = 8 * (sab % n_inelastic_e_in * (2 + sab % n_inelastic_e_out * &
-         (1 + sab % n_inelastic_mu)) + sab % n_elastic_e_in * &
-         (2 + sab % n_elastic_mu))
-    write(unit_,*) '  Memory Used = ' // trim(to_str(size_sab)) // ' bytes'
-
-    ! Blank line at end
-    write(unit_,*)
-
-  end subroutine print_sab_table
-
 !===============================================================================
 ! WRITE_XS_SUMMARY writes information about each nuclide and S(a,b) table to a
 ! file called cross_sections.out. This file shows the list of reactions as well
@@ -520,8 +328,6 @@ contains
     integer :: i       ! loop index
     integer :: unit_xs ! cross_sections.out file unit
     character(MAX_FILE_LEN)  :: path ! path of summary file
-    type(Nuclide),    pointer :: nuc
-    type(SAlphaBeta), pointer :: sab
 
     ! Create filename for log file
     path = trim(path_output) // "cross_sections.out"
@@ -529,24 +335,32 @@ contains
     ! Open log file for writing
     open(NEWUNIT=unit_xs, FILE=path, STATUS='replace', ACTION='write')
 
-    ! Write header
-    call header("CROSS SECTION TABLES", unit=unit_xs)
+    if (run_CE) then
+      ! Write header
+      call header("CROSS SECTION TABLES", unit=unit_xs)
 
-    NUCLIDE_LOOP: do i = 1, n_nuclides_total
-      ! Get pointer to nuclide
-      nuc => nuclides(i)
+      NUCLIDE_LOOP: do i = 1, n_nuclides_total
+        ! Print information about nuclide
+        call nuclides(i) % print(unit=unit_xs)
+      end do NUCLIDE_LOOP
 
-      ! Print information about nuclide
-      call print_nuclide(nuc, unit=unit_xs)
-    end do NUCLIDE_LOOP
-
-    SAB_TABLES_LOOP: do i = 1, n_sab_tables
-      ! Get pointer to S(a,b) table
-      sab => sab_tables(i)
-
-      ! Print information about S(a,b) table
-      call print_sab_table(sab, unit=unit_xs)
-    end do SAB_TABLES_LOOP
+      SAB_TABLES_LOOP: do i = 1, n_sab_tables
+        ! Print information about S(a,b) table
+        call sab_tables(i) % print(unit=unit_xs)
+      end do SAB_TABLES_LOOP
+    else
+      ! Write header
+      call header("MGXS LIBRARY TABLES", unit=unit_xs)
+      NuclideMG_LOOP: do i = 1, n_nuclides_total
+        ! Print information about nuclide
+        call nuclides_mg(i) % obj % print(unit=unit_xs)
+      end do NuclideMG_LOOP
+      call header("MATERIAL MGXS TABLES", unit=unit_xs)
+      MATERIAL_LOOP: do i = 1, n_materials
+        ! Print information about Materials
+        call macro_xs(i) % obj % print(unit=unit_xs)
+      end do MATERIAL_LOOP
+    end if
 
     ! Close cross section summary file
     close(unit_xs)
@@ -963,8 +777,6 @@ contains
     score_names(abs(SCORE_TOTAL))              = "Total Reaction Rate"
     score_names(abs(SCORE_SCATTER))            = "Scattering Rate"
     score_names(abs(SCORE_NU_SCATTER))         = "Scattering Production Rate"
-    score_names(abs(SCORE_TRANSPORT))          = "Transport Rate"
-    score_names(abs(SCORE_N_1N))               = "(n,1n) Rate"
     score_names(abs(SCORE_ABSORPTION))         = "Absorption Rate"
     score_names(abs(SCORE_FISSION))            = "Fission Rate"
     score_names(abs(SCORE_NU_FISSION))         = "Nu-Fission Rate"
@@ -1096,7 +908,11 @@ contains
             write(UNIT=unit_tally, FMT='(1X,2A,1X,A)') repeat(" ", indent), &
                  "Total Material"
           else
-            i_listing = nuclides(i_nuclide) % listing
+            if (run_CE) then
+              i_listing = nuclides(i_nuclide) % listing
+            else
+              i_listing = nuclides_MG(i_nuclide) % obj % listing
+            end if
             write(UNIT=unit_tally, FMT='(1X,2A,1X,A)') repeat(" ", indent), &
                  trim(xs_listings(i_listing) % alias)
           end if
@@ -1351,7 +1167,7 @@ contains
   function get_label(t, i_filter) result(label)
     type(TallyObject), intent(in) :: t        ! tally object
     integer,           intent(in) :: i_filter ! index in filters array
-    character(100)                :: label    ! user-specified identifier
+    character(MAX_LINE_LEN)       :: label    ! user-specified identifier
 
     integer :: i      ! index in cells/surfaces/etc array
     integer :: bin
@@ -1378,8 +1194,7 @@ contains
       label = ''
       univ => universes(BASE_UNIVERSE)
       offset = 0
-      call find_offset(t % filters(i_filter) % offset, &
-           t % filters(i_filter) % int_bins(1), &
+      call find_offset(t % filters(i_filter) % int_bins(1), &
            univ, bin-1, offset, label)
     case (FILTER_SURFACE)
       i = t % filters(i_filter) % int_bins(bin)
@@ -1413,15 +1228,15 @@ contains
 ! with the given offset
 !===============================================================================
 
-  recursive subroutine find_offset(map, goal, univ, final, offset, path)
+  recursive subroutine find_offset(goal, univ, final, offset, path)
 
-    integer, intent(in) :: map          ! Index in maps vector
-    integer, intent(in) :: goal         ! The target cell ID
+    integer, intent(in) :: goal         ! The target cell index
     type(Universe), intent(in) :: univ  ! Universe to begin search
     integer, intent(in) :: final        ! Target offset
     integer, intent(inout) :: offset    ! Current offset
     character(*), intent(inout) :: path ! Path to offset
 
+    integer :: map                  ! Index in maps vector
     integer :: i, j                 ! Index over cells
     integer :: k, l, m              ! Indices in lattice
     integer :: old_k, old_l, old_m  ! Previous indices in lattice
@@ -1436,6 +1251,9 @@ contains
     type(Universe), pointer :: next_univ  ! Next universe to loop through
     class(Lattice), pointer :: lat        ! Pointer to current lattice
 
+    ! Get the distribcell index for this cell
+    map = cells(goal) % distribcell_index
+
     n = univ % n_cells
 
     ! Write to the geometry stack
@@ -1447,17 +1265,13 @@ contains
 
     ! Look through all cells in this universe
     do i = 1, n
-
-      cell_index = univ % cells(i)
-      c => cells(cell_index)
-
-      ! If the cell ID matches the goal and the offset matches final,
-      ! write to the geometry stack
-      if (cell_dict % get_key(c % id) == goal .AND. offset == final) then
-        path = trim(path) // "->" // to_str(c%id)
+      ! If the cell matches the goal and the offset matches final, write to the
+      ! geometry stack
+      if (univ % cells(i) == goal .and. offset == final) then
+        c => cells(univ % cells(i))
+        path = trim(path) // "->" // to_str(c % id)
         return
       end if
-
     end do
 
     ! Find the fill cell or lattice cell that we need to enter
@@ -1537,7 +1351,7 @@ contains
           offset = c % offset(map) + offset
 
           next_univ => universes(c % fill)
-          call find_offset(map, goal, next_univ, final, offset, path)
+          call find_offset(goal, next_univ, final, offset, path)
           return
 
         ! ====================================================================
@@ -1577,7 +1391,7 @@ contains
                       path = trim(path) // "(" // trim(to_str(k)) // &
                            "," // trim(to_str(l)) // "," // &
                            trim(to_str(m)) // ")"
-                      call find_offset(map, goal, next_univ, final, offset, path)
+                      call find_offset(goal, next_univ, final, offset, path)
                       return
                     else
                       old_m = m
@@ -1593,7 +1407,7 @@ contains
                     path = trim(path) // "(" // trim(to_str(old_k)) // &
                          "," // trim(to_str(old_l)) // "," // &
                          trim(to_str(old_m)) // ")"
-                    call find_offset(map, goal, next_univ, final, offset, path)
+                    call find_offset(goal, next_univ, final, offset, path)
                     return
                   end if
 
@@ -1638,8 +1452,7 @@ contains
                            trim(to_str(k - lat % n_rings)) // "," // &
                            trim(to_str(l - lat % n_rings)) // "," // &
                            trim(to_str(m)) // ")"
-                      call find_offset(map, goal, next_univ, final, offset, &
-                                       path)
+                      call find_offset(goal, next_univ, final, offset, path)
                       return
                     else
                       old_m = m
@@ -1656,7 +1469,7 @@ contains
                          trim(to_str(old_k - lat % n_rings)) // "," // &
                          trim(to_str(old_l - lat % n_rings)) // "," // &
                          trim(to_str(old_m)) // ")"
-                    call find_offset(map, goal, next_univ, final, offset, path)
+                    call find_offset(goal, next_univ, final, offset, path)
                     return
                   end if
 
diff --git a/src/particle_header.F90 b/src/particle_header.F90
index 0b9b251ee5..a313c6ed58 100644
--- a/src/particle_header.F90
+++ b/src/particle_header.F90
@@ -2,7 +2,7 @@ module particle_header
 
   use bank_header,     only: Bank
   use constants,       only: NEUTRON, ONE, NONE, ZERO, MAX_SECONDARY, &
-                             MAX_DELAYED_GROUPS
+                             MAX_DELAYED_GROUPS, ERROR_REAL
   use error,           only: fatal_error
   use geometry_header, only: BASE_UNIVERSE
 
@@ -47,9 +47,14 @@ module particle_header
     integer          :: n_coord          ! number of current coordinates
     type(LocalCoord) :: coord(MAX_COORD) ! coordinates for all levels
 
+    ! Energy Data
+    real(8)    :: E      ! post-collision energy
+    real(8)    :: last_E ! pre-collision energy
+    integer    :: g      ! post-collision energy group (MG only)
+    integer    :: last_g ! pre-collision energy group (MG only)
+
     ! Other physical data
     real(8)    :: wgt           ! particle weight
-    real(8)    :: E             ! energy
     real(8)    :: mu            ! angle of scatter
     logical    :: alive         ! is particle alive?
 
@@ -57,7 +62,6 @@ module particle_header
     real(8)    :: last_xyz(3)   ! previous coordinates
     real(8)    :: last_uvw(3)   ! previous direction coordinates
     real(8)    :: last_wgt      ! pre-collision particle weight
-    real(8)    :: last_E        ! pre-collision energy
     real(8)    :: absorb_wgt    ! weight absorbed for survival biasing
 
     ! What event last took place
@@ -79,6 +83,9 @@ module particle_header
     integer    :: material      ! index for current material
     integer    :: last_material ! index for last material
 
+    ! Temperature of the current cell
+    real(8)    :: sqrtkT        ! sqrt(k_Boltzmann * temperature) in MeV
+
     ! Statistical data
     integer    :: n_collision   ! # of collisions
 
@@ -86,7 +93,7 @@ module particle_header
     logical    :: write_track = .false.
 
     ! Secondary particles created
-    integer    :: n_secondary = 0
+    integer(8) :: n_secondary = 0
     type(Bank) :: secondary_bank(MAX_SECONDARY)
 
   contains
@@ -124,10 +131,12 @@ contains
     this % absorb_wgt        = ZERO
     this % n_bank            = 0
     this % wgt_bank          = ZERO
+    this % sqrtkT            = ERROR_REAL
     this % n_collision       = 0
     this % fission           = .false.
     this % delayed_group     = 0
     this % n_delayed_bank(:) = 0
+    this % g = 1
 
     ! Set up base level coordinates
     this % coord(1) % universe = BASE_UNIVERSE
@@ -174,9 +183,11 @@ contains
 ! fission, or simply as a secondary particle.
 !===============================================================================
 
-  subroutine initialize_from_source(this, src)
-    class(Particle), intent(inout) :: this
-    type(Bank),      intent(in)    :: src
+  subroutine initialize_from_source(this, src, run_CE, energy_bin_avg)
+    class(Particle), intent(inout)   :: this
+    type(Bank),      intent(in)      :: src
+    logical,         intent(in)      :: run_CE
+    real(8), allocatable, intent(in) :: energy_bin_avg(:)
 
     ! set defaults
     call this % initialize()
@@ -188,8 +199,14 @@ contains
     this % coord(1) % uvw = src % uvw
     this % last_xyz       = src % xyz
     this % last_uvw       = src % uvw
-    this % E              = src % E
-    this % last_E         = src % E
+    if (run_CE) then
+      this % E            = src % E
+    else
+      this % g            = int(src % E)
+      this % last_g       = int(src % E)
+      this % E            = energy_bin_avg(this % g)
+    end if
+    this % last_E       = this % E
 
   end subroutine initialize_from_source
 
@@ -198,12 +215,13 @@ contains
 ! the secondary bank and increments the number of sites in the secondary bank.
 !===============================================================================
 
-  subroutine create_secondary(this, uvw, type)
+  subroutine create_secondary(this, uvw, type, run_CE)
     class(Particle), intent(inout) :: this
     real(8),         intent(in)    :: uvw(3)
     integer,         intent(in)    :: type
+    logical,         intent(in)    :: run_CE
 
-    integer :: n
+    integer(8) :: n
 
     ! Check to make sure that the hard-limit on secondary particles is not
     ! exceeded.
@@ -215,8 +233,11 @@ contains
     this % secondary_bank(n) % wgt    = this % wgt
     this % secondary_bank(n) % xyz(:) = this % coord(1) % xyz
     this % secondary_bank(n) % uvw(:) = uvw
-    this % secondary_bank(n) % E      = this % E
     this % n_secondary = n
+    this % secondary_bank(this % n_secondary) % E = this % E
+    if (.not. run_CE) then
+      this % secondary_bank(this % n_secondary) % E = real(this % g, 8)
+    end if
 
   end subroutine create_secondary
 
diff --git a/src/particle_restart.F90 b/src/particle_restart.F90
index 2e0523d484..846d37160d 100644
--- a/src/particle_restart.F90
+++ b/src/particle_restart.F90
@@ -34,7 +34,7 @@ contains
     verbosity = 10
 
     ! Initialize the particle to be tracked
-    call p%initialize()
+    call p % initialize()
 
     ! Read in the restart information
     call read_particle_restart(p, previous_run_mode)
@@ -46,9 +46,9 @@ contains
     select case (previous_run_mode)
     case (MODE_EIGENVALUE)
       particle_seed = ((current_batch - 1)*gen_per_batch + &
-           current_gen - 1)*n_particles + p%id
+           current_gen - 1)*n_particles + p % id
     case (MODE_FIXEDSOURCE)
-      particle_seed = p%id
+      particle_seed = p % id
     end select
 
     call set_particle_seed(particle_seed)
@@ -71,7 +71,7 @@ contains
 
     integer :: int_scalar
     integer(HID_T) :: file_id
-    character(MAX_WORD_LEN) :: mode
+    character(MAX_WORD_LEN) :: tempstr
 
     ! Write meessage
     call write_message("Loading particle restart file " &
@@ -81,30 +81,37 @@ contains
     file_id = file_open(path_particle_restart, 'r')
 
     ! Read data from file
-    call read_dataset(file_id, 'filetype', int_scalar)
-    call read_dataset(file_id, 'revision', int_scalar)
-    call read_dataset(file_id, 'current_batch', current_batch)
-    call read_dataset(file_id, 'gen_per_batch', gen_per_batch)
-    call read_dataset(file_id, 'current_gen', current_gen)
-    call read_dataset(file_id, 'n_particles', n_particles)
-    call read_dataset(file_id, 'run_mode', mode)
-    select case (mode)
+    call read_dataset(tempstr, file_id, 'filetype')
+    call read_dataset(int_scalar, file_id, 'revision')
+    call read_dataset(current_batch, file_id, 'current_batch')
+    call read_dataset(gen_per_batch, file_id, 'gen_per_batch')
+    call read_dataset(current_gen, file_id, 'current_gen')
+    call read_dataset(n_particles, file_id, 'n_particles')
+    call read_dataset(tempstr, file_id, 'run_mode')
+    select case (tempstr)
     case ('k-eigenvalue')
       previous_run_mode = MODE_EIGENVALUE
     case ('fixed source')
       previous_run_mode = MODE_FIXEDSOURCE
     end select
-    call read_dataset(file_id, 'id', p%id)
-    call read_dataset(file_id, 'weight', p%wgt)
-    call read_dataset(file_id, 'energy', p%E)
-    call read_dataset(file_id, 'xyz', p%coord(1)%xyz)
-    call read_dataset(file_id, 'uvw', p%coord(1)%uvw)
+    call read_dataset(p % id, file_id, 'id')
+    call read_dataset(p % wgt, file_id, 'weight')
+    call read_dataset(p % E, file_id, 'energy')
+    call read_dataset(p % coord(1) % xyz, file_id, 'xyz')
+    call read_dataset(p % coord(1) % uvw, file_id, 'uvw')
+
+    ! Set energy group and average energy in multi-group mode
+    if (.not. run_CE) then
+      p % g = int(p % E)
+      p % E = energy_bin_avg(p % g)
+    end if
 
     ! Set particle last attributes
-    p%last_wgt = p%wgt
-    p%last_xyz = p%coord(1)%xyz
-    p%last_uvw = p%coord(1)%uvw
-    p%last_E   = p%E
+    p % last_wgt = p % wgt
+    p % last_xyz = p % coord(1)%xyz
+    p % last_uvw = p % coord(1)%uvw
+    p % last_E   = p % E
+    p % last_g   = p % g
 
     ! Close hdf5 file
     call file_close(file_id)
diff --git a/src/particle_restart_write.F90 b/src/particle_restart_write.F90
index edd779df09..d983b3db8a 100644
--- a/src/particle_restart_write.F90
+++ b/src/particle_restart_write.F90
@@ -1,10 +1,10 @@
 module particle_restart_write
 
-  use bank_header,      only: Bank
+  use bank_header,     only: Bank
   use global
   use hdf5_interface
-  use particle_header,  only: Particle
-  use string,           only: to_str
+  use particle_header, only: Particle
+  use string,          only: to_str
 
   use hdf5
 
diff --git a/src/physics.F90 b/src/physics.F90
index a01a3a30cb..09a43aa99f 100644
--- a/src/physics.F90
+++ b/src/physics.F90
@@ -1,28 +1,26 @@
 module physics
 
-  use ace_header,             only: Nuclide, Reaction, DistEnergy
   use constants
   use cross_section,          only: elastic_xs_0K
   use endf,                   only: reaction_name
   use error,                  only: fatal_error, warning
-  use fission,                only: nu_total, nu_delayed
   use global
-  use interpolation,          only: interpolate_tab1
   use material_header,        only: Material
-  use math,                   only: maxwell_spectrum, watt_spectrum
+  use math
   use mesh,                   only: get_mesh_indices
+  use nuclide_header
   use output,                 only: write_message
   use particle_header,        only: Particle
   use particle_restart_write, only: write_particle_restart
-  use random_lcg,             only: prn
+  use physics_common
+  use random_lcg,             only: prn, advance_prn_seed, prn_set_stream
+  use reaction_header,        only: Reaction
   use search,                 only: binary_search
+  use secondary_uncorrelated, only: UncorrelatedAngleEnergy
   use string,                 only: to_str
 
   implicit none
 
-! TODO: Figure out how to write particle restart files in sample_angle,
-! sample_energy, etc.
-
 contains
 
 !===============================================================================
@@ -58,6 +56,13 @@ contains
       if (master) call warning("Killing neutron with extremely low energy")
     end if
 
+    ! Advance URR seed stream 'N' times after energy changes
+    if (p % E /= p % last_E) then
+      call prn_set_stream(STREAM_URR_PTABLE)
+      call advance_prn_seed(n_nuc_zaid_total)
+      call prn_set_stream(STREAM_TRACKING)
+    endif
+
   end subroutine collision
 
 !===============================================================================
@@ -90,9 +95,14 @@ contains
     ! change when sampling fission sites. The following block handles all
     ! absorption (including fission)
 
-    if (nuc % fissionable .and. run_mode == MODE_EIGENVALUE) then
+    if (nuc % fissionable) then
       call sample_fission(i_nuclide, i_reaction)
-      call create_fission_sites(p, i_nuclide, i_reaction)
+      if (run_mode == MODE_EIGENVALUE) then
+        call create_fission_sites(p, i_nuclide, i_reaction, fission_bank, n_bank)
+      elseif (run_mode == MODE_FIXEDSOURCE) then
+        call create_fission_sites(p, i_nuclide, i_reaction, &
+             p % secondary_bank, p % n_secondary)
+      end if
     end if
 
     ! If survival biasing is being used, the following subroutine adjusts the
@@ -193,7 +203,7 @@ contains
     real(8) :: f
     real(8) :: prob
     real(8) :: cutoff
-    type(Nuclide),  pointer :: nuc
+    type(Nuclide), pointer :: nuc
 
     ! Get pointer to nuclide
     nuc => nuclides(i_nuclide)
@@ -239,7 +249,6 @@ contains
 !===============================================================================
 
   subroutine absorption(p, i_nuclide)
-
     type(Particle), intent(inout) :: p
     integer,        intent(in)    :: i_nuclide
 
@@ -275,33 +284,11 @@ contains
 
   end subroutine absorption
 
-!===============================================================================
-! RUSSIAN_ROULETTE
-!===============================================================================
-
-  subroutine russian_roulette(p)
-
-    type(Particle), intent(inout) :: p
-
-    if (p % wgt < weight_cutoff) then
-      if (prn() < p % wgt / weight_survive) then
-        p % wgt = weight_survive
-        p % last_wgt = p % wgt
-      else
-        p % wgt = ZERO
-        p % last_wgt = ZERO
-        p % alive = .false.
-      end if
-    end if
-
-  end subroutine russian_roulette
-
 !===============================================================================
 ! SCATTER
 !===============================================================================
 
   subroutine scatter(p, i_nuclide, i_nuc_mat)
-
     type(Particle), intent(inout) :: p
     integer,        intent(in)    :: i_nuclide
     integer,        intent(in)    :: i_nuc_mat
@@ -458,7 +445,10 @@ contains
     vel = sqrt(dot_product(v_n, v_n))
 
     ! Sample scattering angle
-    mu_cm = sample_angle(rxn, E)
+    select type (dist => rxn % products(1) % distribution(1) % obj)
+    type is (UncorrelatedAngleEnergy)
+      mu_cm = dist % angle % sample(E)
+    end select
 
     ! Determine direction cosines in CM
     uvw_cm = v_n/vel
@@ -495,7 +485,6 @@ contains
 !===============================================================================
 
   subroutine sab_scatter(i_nuclide, i_sab, E, uvw, mu)
-
     integer, intent(in)     :: i_nuclide ! index in micro_xs
     integer, intent(in)     :: i_sab     ! index in sab_tables
     real(8), intent(inout)  :: E         ! incoming/outgoing energy
@@ -999,9 +988,9 @@ contains
 
   subroutine sample_cxs_target_velocity(nuc, v_target, E, uvw)
     type(Nuclide), intent(in) :: nuc ! target nuclide at temperature
-    real(8), intent(out)    :: v_target(3)
-    real(8), intent(in)     :: E
-    real(8), intent(in)     :: uvw(3)
+    real(8), intent(out)         :: v_target(3)
+    real(8), intent(in)          :: E
+    real(8), intent(in)          :: uvw(3)
 
     real(8) :: kT          ! equilibrium temperature of target in MeV
     real(8) :: awr         ! target/neutron mass ratio
@@ -1070,18 +1059,18 @@ contains
 ! neutrons produced from fission and creates appropriate bank sites.
 !===============================================================================
 
-  subroutine create_fission_sites(p, i_nuclide, i_reaction)
+  subroutine create_fission_sites(p, i_nuclide, i_reaction, bank_array, size_bank)
     type(Particle), intent(inout) :: p
     integer,        intent(in)    :: i_nuclide
     integer,        intent(in)    :: i_reaction
+    type(Bank),     intent(inout) :: bank_array(:)
+    integer(8),     intent(inout) :: size_bank
 
     integer :: nu_d(MAX_DELAYED_GROUPS) ! number of delayed neutrons born
     integer :: i                        ! loop index
     integer :: nu                       ! actual number of neutrons produced
     integer :: ijk(3)                   ! indices in ufs mesh
     real(8) :: nu_t                     ! total nu
-    real(8) :: mu                       ! fission neutron angular cosine
-    real(8) :: phi                      ! fission neutron azimuthal angle
     real(8) :: weight                   ! weight adjustment for ufs method
     logical :: in_mesh                  ! source site in ufs mesh?
     type(Nuclide),  pointer :: nuc
@@ -1122,47 +1111,42 @@ contains
       nu = int(nu_t) + 1
     end if
 
-    ! Check for fission bank size getting hit
-    if (n_bank + nu > size(fission_bank)) then
-      if (master) call warning("Maximum number of sites in fission bank &
-           &reached. This can result in irreproducible results using different &
-           &numbers of processes/threads.")
+    ! Check for bank size getting hit. For fixed source calculations, this is a
+    ! fatal error. For eigenvalue calculations, it just means that k-effective
+    ! was too high for a single batch.
+    if (size_bank + nu > size(bank_array)) then
+      if (run_mode == MODE_FIXEDSOURCE) then
+        call fatal_error("Secondary particle bank size limit reached. If you &
+             &are running a subcritical multiplication problem, k-effective &
+             &may be too close to one.")
+      else
+        if (master) call warning("Maximum number of sites in fission bank &
+             &reached. This can result in irreproducible results using different &
+             &numbers of processes/threads.")
+      end if
     end if
 
     ! Bank source neutrons
-    if (nu == 0 .or. n_bank == size(fission_bank)) return
+    if (nu == 0 .or. size_bank == size(bank_array)) return
 
     ! Initialize counter of delayed neutrons encountered for each delayed group
     ! to zero.
     nu_d(:) = 0
 
     p % fission = .true. ! Fission neutrons will be banked
-    do i = int(n_bank,4) + 1, int(min(n_bank + nu, int(size(fission_bank),8)),4)
+    do i = int(size_bank,4) + 1, int(min(size_bank + nu, int(size(bank_array),8)),4)
       ! Bank source neutrons by copying particle data
-      fission_bank(i) % xyz = p % coord(1) % xyz
+      bank_array(i) % xyz = p % coord(1) % xyz
 
       ! Set weight of fission bank site
-      fission_bank(i) % wgt = ONE/weight
+      bank_array(i) % wgt = ONE/weight
 
-      ! Sample cosine of angle -- fission neutrons are always emitted
-      ! isotropically. Sometimes in ACE data, fission reactions actually have
-      ! an angular distribution listed, but for those that do, it's simply just
-      ! a uniform distribution in mu
-      mu = TWO * prn() - ONE
+      ! Sample delayed group and angle/energy for fission reaction
+      call sample_fission_neutron(nuc, nuc % reactions(i_reaction), &
+           p % E, bank_array(i))
 
-      ! Sample azimuthal angle uniformly in [0,2*pi)
-      phi = TWO*PI*prn()
-      fission_bank(i) % uvw(1) = mu
-      fission_bank(i) % uvw(2) = sqrt(ONE - mu*mu) * cos(phi)
-      fission_bank(i) % uvw(3) = sqrt(ONE - mu*mu) * sin(phi)
-
-      ! Sample secondary energy distribution for fission reaction and set energy
-      ! in fission bank
-      fission_bank(i) % E = sample_fission_energy(nuc, nuc%reactions(&
-           i_reaction), p)
-
-      ! Set the delayed group of the neutron
-      fission_bank(i) % delayed_group = p % delayed_group
+      ! Set delayed group on particle too
+      p % delayed_group = bank_array(i) % delayed_group
 
       ! Increment the number of neutrons born delayed
       if (p % delayed_group > 0) then
@@ -1171,7 +1155,7 @@ contains
     end do
 
     ! increment number of bank sites
-    n_bank = min(n_bank + nu, int(size(fission_bank),8))
+    size_bank = min(size_bank + nu, int(size(bank_array),8))
 
     ! Store total and delayed weight banked for analog fission tallies
     p % n_bank   = nu
@@ -1181,38 +1165,41 @@ contains
   end subroutine create_fission_sites
 
 !===============================================================================
-! SAMPLE_FISSION_ENERGY
+! SAMPLE_FISSION_NEUTRON
 !===============================================================================
 
-  function sample_fission_energy(nuc, rxn, p) result(E_out)
+  subroutine sample_fission_neutron(nuc, rxn, E_in, site)
+    type(Nuclide),  intent(in)    :: nuc
+    type(Reaction), intent(in)    :: rxn
+    real(8),        intent(in)    :: E_in
+    type(Bank),     intent(inout) :: site
 
-    type(Nuclide),  intent(in) :: nuc
-    type(Reaction), intent(in) :: rxn
-    type(Particle), intent(inout) :: p     ! Particle causing fission
-    real(8)                       :: E_out ! outgoing energy of fission neutron
-
-    integer :: j            ! index on nu energy grid / precursor group
-    integer :: lc           ! index before start of energies/nu values
-    integer :: NR           ! number of interpolation regions
-    integer :: NE           ! number of energies tabulated
-    integer :: law          ! energy distribution law
-    integer :: n_sample     ! number of times resampling
+    integer :: group        ! index on nu energy grid / precursor group
+    integer :: n_sample     ! number of resamples
     real(8) :: nu_t         ! total nu
     real(8) :: nu_d         ! delayed nu
-    real(8) :: mu           ! fission neutron angular cosine
     real(8) :: beta         ! delayed neutron fraction
     real(8) :: xi           ! random number
     real(8) :: yield        ! delayed neutron precursor yield
     real(8) :: prob         ! cumulative probability
-    type(DistEnergy), pointer :: edist
+    real(8) :: mu           ! cosine of scattering angle
+    real(8) :: phi          ! azimuthal angle
 
-    ! Determine total nu
-    nu_t = nu_total(nuc, p % E)
+    ! Sample cosine of angle -- fission neutrons are always emitted
+    ! isotropically. Sometimes in ACE data, fission reactions actually have
+    ! an angular distribution listed, but for those that do, it's simply just
+    ! a uniform distribution in mu
+    mu = TWO * prn() - ONE
 
-    ! Determine delayed nu
-    nu_d = nu_delayed(nuc, p % E)
+    ! Sample azimuthal angle uniformly in [0,2*pi)
+    phi = TWO*PI*prn()
+    site % uvw(1) = mu
+    site % uvw(2) = sqrt(ONE - mu*mu) * cos(phi)
+    site % uvw(3) = sqrt(ONE - mu*mu) * sin(phi)
 
-    ! Determine delayed neutron fraction
+    ! Determine total nu, delayed nu, and delayed neutron fraction
+    nu_t = nuc % nu(E_in, EMISSION_TOTAL)
+    nu_d = nuc % nu(E_in, EMISSION_DELAYED)
     beta = nu_d / nu_t
 
     if (prn() < beta) then
@@ -1220,56 +1207,41 @@ contains
       ! DELAYED NEUTRON SAMPLED
 
       ! sampled delayed precursor group
-      xi = prn()
-      lc = 1
+      xi = prn()*nu_d
       prob = ZERO
-      do j = 1, nuc % n_precursor
-        ! determine number of interpolation regions and energies
-        NR = int(nuc % nu_d_precursor_data(lc + 1))
-        NE = int(nuc % nu_d_precursor_data(lc + 2 + 2*NR))
+      do group = 1, nuc % n_precursor
 
         ! determine delayed neutron precursor yield for group j
-        yield = interpolate_tab1(nuc % nu_d_precursor_data( &
-             lc+1:lc+2+2*NR+2*NE), p % E)
+        yield = rxn % products(1 + group) % yield % evaluate(E_in)
 
         ! Check if this group is sampled
         prob = prob + yield
         if (xi < prob) exit
-
-        ! advance pointer
-        lc = lc + 2 + 2*NR + 2*NE + 1
       end do
 
       ! if the sum of the probabilities is slightly less than one and the
       ! random number is greater, j will be greater than nuc %
       ! n_precursor -- check for this condition
-      j = min(j, nuc % n_precursor)
+      group = min(group, nuc % n_precursor)
 
       ! set the delayed group for the particle born from fission
-      p % delayed_group = j
+      site % delayed_group = group
 
-      ! select energy distribution for group j
-      law = nuc % nu_d_edist(j) % law
-      edist => nuc % nu_d_edist(j)
-
-      ! sample from energy distribution
       n_sample = 0
       do
-        if (law == 44 .or. law == 61) then
-          call sample_energy(edist, p % E, E_out, mu)
-        else
-          call sample_energy(edist, p % E, E_out)
-        end if
+        ! sample from energy/angle distribution -- note that mu has already been
+        ! sampled above and doesn't need to be resampled
+        call rxn % products(1 + group) % sample(E_in, site % E, mu)
 
         ! resample if energy is greater than maximum neutron energy
-        if (E_out < energy_max_neutron) exit
+        if (site % E < energy_max_neutron) exit
 
         ! check for large number of resamples
         n_sample = n_sample + 1
         if (n_sample == MAX_SAMPLE) then
           ! call write_particle_restart(p)
           call fatal_error("Resampled energy distribution maximum number of " &
-               &// "times for nuclide " // nuc % name)
+               // "times for nuclide " // nuc % name)
         end if
       end do
 
@@ -1278,33 +1250,27 @@ contains
       ! PROMPT NEUTRON SAMPLED
 
       ! set the delayed group for the particle born from fission to 0
-      p % delayed_group = 0
+      site % delayed_group = 0
 
       ! sample from prompt neutron energy distribution
-      law = rxn % edist % law
       n_sample = 0
       do
-        if (law == 44 .or. law == 61) then
-          call sample_energy(rxn%edist, p % E, E_out, prob)
-        else
-          call sample_energy(rxn%edist, p % E, E_out)
-        end if
+        call rxn % products(1) % sample(E_in, site % E, mu)
 
         ! resample if energy is greater than maximum neutron energy
-        if (E_out < energy_max_neutron) exit
+        if (site % E < energy_max_neutron) exit
 
         ! check for large number of resamples
         n_sample = n_sample + 1
         if (n_sample == MAX_SAMPLE) then
           ! call write_particle_restart(p)
           call fatal_error("Resampled energy distribution maximum number of " &
-               &// "times for nuclide " // nuc % name)
+               // "times for nuclide " // nuc % name)
         end if
       end do
-
     end if
 
-  end function sample_fission_energy
+  end subroutine sample_fission_neutron
 
 !===============================================================================
 ! INELASTIC_SCATTER handles all reactions with a single secondary neutron (other
@@ -1312,46 +1278,23 @@ contains
 !===============================================================================
 
   subroutine inelastic_scatter(nuc, rxn, p)
-    type(Nuclide),  intent(in)    :: nuc
-    type(Reaction), intent(in)    :: rxn
-    type(Particle), intent(inout) :: p
+    type(Nuclide), intent(in)    :: nuc
+    type(Reaction),   intent(in)    :: rxn
+    type(Particle),   intent(inout) :: p
 
     integer :: i      ! loop index
-    integer :: law    ! secondary energy distribution law
     real(8) :: E      ! energy in lab (incoming/outgoing)
     real(8) :: mu     ! cosine of scattering angle in lab
     real(8) :: A      ! atomic weight ratio of nuclide
     real(8) :: E_in   ! incoming energy
     real(8) :: E_cm   ! outgoing energy in center-of-mass
-    real(8) :: Q      ! Q-value of reaction
     real(8) :: yield  ! neutron yield
 
     ! copy energy of neutron
     E_in = p % E
 
-    ! determine A and Q
-    A = nuc % awr
-    Q = rxn % Q_value
-
-    ! determine secondary energy distribution law
-    law = rxn % edist % law
-
-    ! sample scattering angle
-    mu = sample_angle(rxn, E_in)
-
-    ! sample outgoing energy
-    if (law == 44 .or. law == 61) then
-      call sample_energy(rxn%edist, E_in, E, mu)
-      ! Because of floating-point roundoff, it may be possible for mu to be
-      ! outside of the range [-1,1). In these cases, we just set mu to exactly
-      ! -1 or 1
-
-      if (abs(mu) > ONE) mu = sign(ONE,mu)
-    elseif (law == 66) then
-      call sample_energy(rxn%edist, E_in, E, A=A, Q=Q)
-    else
-      call sample_energy(rxn%edist, E_in, E)
-    end if
+    ! sample outgoing energy and scattering cosine
+    call rxn % products(1) % sample(E_in, E, mu)
 
     ! if scattering system is in center-of-mass, transfer cosine of scattering
     ! angle and outgoing energy from CM to LAB
@@ -1359,19 +1302,19 @@ contains
       E_cm = E
 
       ! determine outgoing energy in lab
+      A = nuc%awr
       E = E_cm + (E_in + TWO * mu * (A+ONE) * sqrt(E_in * E_cm)) &
            / ((A+ONE)*(A+ONE))
 
       ! determine outgoing angle in lab
       mu = mu * sqrt(E_cm/E) + ONE/(A+ONE) * sqrt(E_in/E)
-
-      ! Because of floating-point roundoff, it may be possible for mu to be
-      ! outside of the range [-1,1). In these cases, we just set mu to exactly
-      ! -1 or 1
-
-      if (abs(mu) > ONE) mu = sign(ONE,mu)
     end if
 
+    ! Because of floating-point roundoff, it may be possible for mu to be
+    ! outside of the range [-1,1). In these cases, we just set mu to exactly -1
+    ! or 1
+    if (abs(mu) > ONE) mu = sign(ONE,mu)
+
     ! Set outgoing energy and scattering angle
     p % E = E
     p % mu = mu
@@ -1379,954 +1322,18 @@ contains
     ! change direction of particle
     p % coord(1) % uvw = rotate_angle(p % coord(1) % uvw, mu)
 
-    ! change weight of particle based on yield
-    if (rxn % multiplicity_with_E) then
-      yield = interpolate_tab1(rxn % multiplicity_E, E_in)
-      p % wgt = yield * p % wgt
-    else
-      do i = 1, rxn % multiplicity - 1
-        call p % create_secondary(p % coord(1) % uvw, NEUTRON)
+    ! evaluate yield
+    yield = rxn % products(1) % yield % evaluate(E_in)
+    if (mod(yield, ONE) == ZERO) then
+      ! If yield is integral, create exactly that many secondary particles
+      do i = 1, nint(yield) - 1
+        call p % create_secondary(p % coord(1) % uvw, NEUTRON, run_CE=.true.)
       end do
+    else
+      ! Otherwise, change weight of particle based on yield
+      p % wgt = yield * p % wgt
     end if
 
   end subroutine inelastic_scatter
 
-!===============================================================================
-! SAMPLE_ANGLE samples the cosine of the angle between incident and exiting
-! particle directions either from 32 equiprobable bins or from a tabular
-! distribution.
-!===============================================================================
-
-  function sample_angle(rxn, E) result(mu)
-    type(Reaction), intent(in) :: rxn ! reaction
-    real(8),        intent(in) :: E   ! incoming energy
-
-    real(8)        :: xi      ! random number on [0,1)
-    integer        :: interp  ! type of interpolation
-    integer        :: type    ! angular distribution type
-    integer        :: i       ! incoming energy bin
-    integer        :: n       ! number of incoming energy bins
-    integer        :: lc      ! location in data array
-    integer        :: NP      ! number of points in cos distribution
-    integer        :: k       ! index on cosine grid
-    real(8)        :: r       ! interpolation factor on incoming energy
-    real(8)        :: frac    ! interpolation fraction on cosine
-    real(8)        :: mu0     ! cosine in bin k
-    real(8)        :: mu1     ! cosine in bin k+1
-    real(8)        :: mu      ! final cosine sampled
-    real(8)        :: c_k     ! cumulative frequency at k
-    real(8)        :: c_k1    ! cumulative frequency at k+1
-    real(8)        :: p0,p1   ! probability distribution
-
-    ! check if reaction has angular distribution -- if not, sample outgoing
-    ! angle isotropically
-    if (.not. rxn % has_angle_dist) then
-      mu = TWO * prn() - ONE
-      return
-    end if
-
-    ! determine number of incoming energies
-    n = rxn % adist % n_energy
-
-    ! find energy bin and calculate interpolation factor -- if the energy is
-    ! outside the range of the tabulated energies, choose the first or last bins
-    if (E < rxn % adist % energy(1)) then
-      i = 1
-      r = ZERO
-    elseif (E > rxn % adist % energy(n)) then
-      i = n - 1
-      r = ONE
-    else
-      i = binary_search(rxn % adist % energy, n, E)
-      r = (E - rxn % adist % energy(i)) / &
-           (rxn % adist % energy(i+1) - rxn % adist % energy(i))
-    end if
-
-    ! Sample between the ith and (i+1)th bin
-    if (r > prn()) i = i + 1
-
-    ! check whether this is a 32-equiprobable bin or a tabular distribution
-    lc  = rxn % adist % location(i)
-    type = rxn % adist % type(i)
-    if (type == ANGLE_ISOTROPIC) then
-      mu = TWO * prn() - ONE
-    elseif (type == ANGLE_32_EQUI) then
-      ! sample cosine bin
-      xi = prn()
-      k = 1 + int(32.0_8*xi)
-
-      ! calculate cosine
-      mu0 = rxn % adist % data(lc + k)
-      mu1 = rxn % adist % data(lc + k+1)
-      mu = mu0 + (32.0_8 * xi - k + ONE) * (mu1 - mu0)
-
-    elseif (type == ANGLE_TABULAR) then
-      interp = int(rxn % adist % data(lc + 1))
-      NP     = int(rxn % adist % data(lc + 2))
-
-      ! determine outgoing cosine bin
-      xi = prn()
-      lc = lc + 2
-      c_k = rxn % adist % data(lc + 2*NP + 1)
-      do k = 1, NP - 1
-        c_k1 = rxn % adist % data(lc + 2*NP + k+1)
-        if (xi < c_k1) exit
-        c_k = c_k1
-      end do
-
-      ! check to make sure k is <= NP - 1
-      k = min(k, NP - 1)
-
-      p0  = rxn % adist % data(lc + NP + k)
-      mu0 = rxn % adist % data(lc + k)
-      if (interp == HISTOGRAM) then
-        ! Histogram interpolation
-        if (p0 > ZERO) then
-          mu = mu0 + (xi - c_k)/p0
-        else
-          mu = mu0
-        end if
-
-      elseif (interp == LINEAR_LINEAR) then
-        ! Linear-linear interpolation
-        p1  = rxn % adist % data(lc + NP + k+1)
-        mu1 = rxn % adist % data(lc + k+1)
-
-        frac = (p1 - p0)/(mu1 - mu0)
-        if (frac == ZERO) then
-          mu = mu0 + (xi - c_k)/p0
-        else
-          mu = mu0 + (sqrt(max(ZERO, p0*p0 + 2*frac*(xi - c_k))) - p0)/frac
-        end if
-      else
-        ! call write_particle_restart(p)
-        call fatal_error("Unknown interpolation type: " // trim(to_str(interp)))
-      end if
-
-      ! Because of floating-point roundoff, it may be possible for mu to be
-      ! outside of the range [-1,1). In these cases, we just set mu to exactly
-      ! -1 or 1
-
-      if (abs(mu) > ONE) mu = sign(ONE,mu)
-
-    else
-      ! call write_particle_restart(p)
-      call fatal_error("Unknown angular distribution type: " &
-           &// trim(to_str(type)))
-    end if
-
-  end function sample_angle
-
-!===============================================================================
-! ROTATE_ANGLE rotates direction cosines through a polar angle whose cosine is
-! mu and through an azimuthal angle sampled uniformly. Note that this is done
-! with direct sampling rather than rejection as is done in MCNP and SERPENT.
-!===============================================================================
-
-  function rotate_angle(uvw0, mu) result(uvw)
-    real(8), intent(in) :: uvw0(3) ! directional cosine
-    real(8), intent(in) :: mu      ! cosine of angle in lab or CM
-    real(8)             :: uvw(3)  ! rotated directional cosine
-
-    real(8) :: phi    ! azimuthal angle
-    real(8) :: sinphi ! sine of azimuthal angle
-    real(8) :: cosphi ! cosine of azimuthal angle
-    real(8) :: a      ! sqrt(1 - mu^2)
-    real(8) :: b      ! sqrt(1 - w^2)
-    real(8) :: u0     ! original cosine in x direction
-    real(8) :: v0     ! original cosine in y direction
-    real(8) :: w0     ! original cosine in z direction
-
-    ! Copy original directional cosines
-    u0 = uvw0(1)
-    v0 = uvw0(2)
-    w0 = uvw0(3)
-
-    ! Sample azimuthal angle in [0,2pi)
-    phi = TWO * PI * prn()
-
-    ! Precompute factors to save flops
-    sinphi = sin(phi)
-    cosphi = cos(phi)
-    a = sqrt(max(ZERO, ONE - mu*mu))
-    b = sqrt(max(ZERO, ONE - w0*w0))
-
-    ! Need to treat special case where sqrt(1 - w**2) is close to zero by
-    ! expanding about the v component rather than the w component
-    if (b > 1e-10) then
-      uvw(1) = mu*u0 + a*(u0*w0*cosphi - v0*sinphi)/b
-      uvw(2) = mu*v0 + a*(v0*w0*cosphi + u0*sinphi)/b
-      uvw(3) = mu*w0 - a*b*cosphi
-    else
-      b = sqrt(ONE - v0*v0)
-      uvw(1) = mu*u0 + a*(u0*v0*cosphi + w0*sinphi)/b
-      uvw(2) = mu*v0 - a*b*cosphi
-      uvw(3) = mu*w0 + a*(v0*w0*cosphi - u0*sinphi)/b
-    end if
-
-  end function rotate_angle
-
-!===============================================================================
-! SAMPLE_ENERGY samples an outgoing energy distribution, either for a secondary
-! neutron from a collision or for a prompt/delayed fission neutron
-!===============================================================================
-
-  recursive subroutine sample_energy(edist, E_in, E_out, mu_out, A, Q)
-    type(DistEnergy),  intent(in)    :: edist
-    real(8), intent(in)              :: E_in   ! incoming energy of neutron
-    real(8), intent(out)             :: E_out  ! outgoing energy
-    real(8), intent(inout), optional :: mu_out ! outgoing cosine of angle
-    real(8), intent(in),    optional :: A      ! mass number of nuclide
-    real(8), intent(in),    optional :: Q      ! Q-value of reaction
-
-    integer :: i           ! index on incoming energy grid
-    integer :: k           ! sampled index on outgoing grid
-    integer :: l           ! sampled index on incoming grid
-    integer :: n_sample    ! number of rejections
-    integer :: lc          ! dummy index
-    integer :: NR          ! number of interpolation regions
-    integer :: NE          ! number of energies
-    integer :: NET         ! number of outgoing energies
-    integer :: INTTp       ! combination of INTT and ND
-    integer :: INTT        ! 1 = histogram, 2 = linear-linear
-    integer :: JJ          ! 1 = histogram, 2 = linear-linear
-    integer :: ND          ! number of discrete lines
-    integer :: NP          ! number of points in distribution
-
-    real(8) :: p_valid     ! probability of law validity
-
-    real(8) :: E_i_1, E_i_K   ! endpoints on outgoing grid i
-    real(8) :: E_i1_1, E_i1_K ! endpoints on outgoing grid i+1
-    real(8) :: E_1, E_K       ! endpoints interpolated between i and i+1
-
-    real(8) :: E_l_k, E_l_k1  ! adjacent E on outgoing grid l
-    real(8) :: p_l_k, p_l_k1  ! adjacent p on outgoing grid l
-    real(8) :: c_k, c_k1      ! cumulative probability
-
-    real(8) :: KM_A           ! Kalbach-Mann parameter R
-    real(8) :: KM_R           ! Kalbach-Mann parameter R
-    real(8) :: A_k, A_k1      ! Kalbach-Mann A on outgoing grid l
-    real(8) :: R_k, R_k1      ! Kalbach-Mann R on outgoing grid l
-
-    real(8) :: Watt_a, Watt_b ! Watt spectrum parameters
-
-    real(8) :: mu_k    ! angular cosine in bin k
-    real(8) :: mu_k1   ! angular cosine in bin k+1
-    real(8) :: p_k     ! angular pdf in bin k
-    real(8) :: p_k1    ! angular pdf in bin k+1
-
-    real(8) :: r           ! interpolation factor on incoming energy
-    real(8) :: frac        ! interpolation factor on outgoing energy
-    real(8) :: U           ! restriction energy
-    real(8) :: T           ! nuclear temperature
-
-    real(8) :: Ap          ! total mass ratio for n-body dist
-    integer :: n_bodies    ! number of bodies for n-body dist
-    real(8) :: E_max       ! parameter for n-body dist
-    real(8) :: x, y, v     ! intermediate variables for n-body dist
-    real(8) :: r1, r2, r3, r4, r5, r6
-    logical :: histogram_interp ! use histogram interpolation on incoming energy
-
-    ! ==========================================================================
-    ! SAMPLE ENERGY DISTRIBUTION IF THERE ARE MULTIPLE
-
-    if (associated(edist % next)) then
-      p_valid = interpolate_tab1(edist % p_valid, E_in)
-
-      if (prn() > p_valid) then
-        if (edist % law == 44 .or. edist % law == 61) then
-          call sample_energy(edist%next, E_in, E_out, mu_out)
-        elseif (edist % law == 66) then
-          call sample_energy(edist%next, E_in, E_out, A=A, Q=Q)
-        else
-          call sample_energy(edist%next, E_in, E_out)
-        end if
-        return
-      end if
-    end if
-
-    ! Determine which secondary energy distribution law to use
-    select case (edist % law)
-    case (1)
-      ! =======================================================================
-      ! TABULAR EQUIPROBABLE ENERGY BINS
-
-      ! read number of interpolation regions, incoming energies, and outgoing
-      ! energies
-      NR  = int(edist % data(1))
-      NE  = int(edist % data(2 + 2*NR))
-      NET = int(edist % data(3 + 2*NR + NE))
-      if (NR > 0) then
-        ! call write_particle_restart(p)
-        call fatal_error("Multiple interpolation regions not supported while &
-             &attempting to sample equiprobable energy bins.")
-      end if
-
-      ! determine index on incoming energy grid and interpolation factor
-      lc = 2 + 2*NR
-      i = binary_search(edist % data(lc+1:lc+NE), NE, E_in)
-      r = (E_in - edist%data(lc+i)) / &
-           (edist%data(lc+i+1) - edist%data(lc+i))
-
-      ! Sample outgoing energy bin
-      r1 = prn()
-      k = 1 + int(NET * r1)
-
-      ! Determine E_1 and E_K
-      lc    = 3 + 3*NR + NE + (i-1)*NET
-      E_i_1 = edist % data(lc + 1)
-      E_i_K = edist % data(lc + NET)
-
-      lc     = 3 + 3*NR + NE + i*NET
-      E_i1_1 = edist % data(lc + 1)
-      E_i1_K = edist % data(lc + NET)
-
-      E_1 = E_i_1 + r*(E_i1_1 - E_i_1)
-      E_K = E_i_K + r*(E_i1_K - E_i_K)
-
-      ! Randomly select between the outgoing table for incoming energy E_i and
-      ! E_(i+1)
-      if (prn() < r) then
-        l = i + 1
-      else
-        l = i
-      end if
-
-      ! Determine E_l_k and E_l_k+1
-      lc     = 3 + 2*NR + NE + (l-1)*NET
-      E_l_k  = edist % data(lc+k)
-      E_l_k1 = edist % data(lc+k+1)
-
-      ! Determine E' (denoted here as E_out)
-      r2 = prn()
-      E_out  = E_l_k + r2*(E_l_k1 - E_l_k)
-
-      ! Now interpolate between incident energy bins i and i + 1
-      if (l == i) then
-        E_out = E_1 + (E_out - E_i_1)*(E_K - E_1)/(E_i_K - E_i_1)
-      else
-        E_out = E_1 + (E_out - E_i1_1)*(E_K - E_1)/(E_i1_K - E_i1_1)
-      end if
-
-    case (3)
-      ! =======================================================================
-      ! INELASTIC LEVEL SCATTERING
-
-      E_out = edist%data(2) * (E_in - edist%data(1))
-
-    case (4)
-      ! =======================================================================
-      ! CONTINUOUS TABULAR DISTRIBUTION
-
-      ! read number of interpolation regions and incoming energies
-      NR  = int(edist % data(1))
-      NE  = int(edist % data(2 + 2*NR))
-      if (NR == 1) then
-        histogram_interp = (edist % data(3) == 1)
-      else if (NR > 1) then
-        ! call write_particle_restart(p)
-        call fatal_error("Multiple interpolation regions not supported while &
-             &attempting to sample continuous tabular distribution.")
-      else
-        histogram_interp = .false.
-      end if
-
-      ! find energy bin and calculate interpolation factor -- if the energy is
-      ! outside the range of the tabulated energies, choose the first or last
-      ! bins
-      lc = 2 + 2*NR
-      if (E_in < edist % data(lc+1)) then
-        i = 1
-        r = ZERO
-      elseif (E_in > edist % data(lc+NE)) then
-        i = NE - 1
-        r = ONE
-      else
-        i = binary_search(edist % data(lc+1:lc+NE), NE, E_in)
-        r = (E_in - edist%data(lc+i)) / &
-             (edist%data(lc+i+1) - edist%data(lc+i))
-      end if
-
-      ! Sample between the ith and (i+1)th bin
-      if (histogram_interp) then
-        l = i
-      else
-        r2 = prn()
-        if (r > r2) then
-          l = i + 1
-        else
-          l = i
-        end if
-      end if
-
-      ! interpolation for energy E1 and EK
-      lc    = int(edist%data(2 + 2*NR + NE + i))
-      NP    = int(edist%data(lc + 2))
-      E_i_1 = edist%data(lc + 2 + 1)
-      E_i_K = edist%data(lc + 2 + NP)
-
-      lc     = int(edist%data(2 + 2*NR + NE + i + 1))
-      NP     = int(edist%data(lc + 2))
-      E_i1_1 = edist%data(lc + 2 + 1)
-      E_i1_K = edist%data(lc + 2 + NP)
-
-      E_1 = E_i_1 + r*(E_i1_1 - E_i_1)
-      E_K = E_i_K + r*(E_i1_K - E_i_K)
-
-      ! determine location of outgoing energies, pdf, cdf for E(l)
-      lc = int(edist % data(2 + 2*NR + NE + l))
-
-      ! determine type of interpolation and number of discrete lines
-      INTTp = int(edist % data(lc + 1))
-      NP    = int(edist % data(lc + 2))
-      if (INTTp > 10) then
-        INTT = mod(INTTp,10)
-        ND = (INTTp - INTT)/10
-      else
-        INTT = INTTp
-        ND = 0
-      end if
-
-      if (ND > 0) then
-        ! discrete lines present
-        ! call write_particle_restart(p)
-        call fatal_error("Discrete lines in continuous tabular distributed not &
-             &yet supported")
-      end if
-
-      ! determine outgoing energy bin
-      r1 = prn()
-      lc = lc + 2 ! start of EOUT
-      c_k = edist % data(lc + 2*NP + 1)
-      do k = 1, NP - 1
-        c_k1 = edist % data(lc + 2*NP + k+1)
-        if (r1 < c_k1) exit
-        c_k = c_k1
-      end do
-
-      ! check to make sure k is <= NP - 1
-      k = min(k, NP - 1)
-
-      E_l_k = edist % data(lc+k)
-      p_l_k = edist % data(lc+NP+k)
-      if (INTT == HISTOGRAM) then
-        ! Histogram interpolation
-        if (p_l_k > ZERO) then
-          E_out = E_l_k + (r1 - c_k)/p_l_k
-        else
-          E_out = E_l_k
-        end if
-
-      elseif (INTT == LINEAR_LINEAR) then
-        ! Linear-linear interpolation
-        E_l_k1 = edist % data(lc+k+1)
-        p_l_k1 = edist % data(lc+NP+k+1)
-
-        frac = (p_l_k1 - p_l_k)/(E_l_k1 - E_l_k)
-        if (frac == ZERO) then
-          E_out = E_l_k + (r1 - c_k)/p_l_k
-        else
-          E_out = E_l_k + (sqrt(max(ZERO, p_l_k*p_l_k + &
-               2*frac*(r1 - c_k))) - p_l_k)/frac
-        end if
-      else
-        ! call write_particle_restart(p)
-        call fatal_error("Unknown interpolation type: " // trim(to_str(INTT)))
-      end if
-
-      ! Now interpolate between incident energy bins i and i + 1
-      if (.not. histogram_interp) then
-        if (l == i) then
-          E_out = E_1 + (E_out - E_i_1)*(E_K - E_1)/(E_i_K - E_i_1)
-        else
-          E_out = E_1 + (E_out - E_i1_1)*(E_K - E_1)/(E_i1_K - E_i1_1)
-        end if
-      end if
-
-    case (5)
-      ! =======================================================================
-      ! GENERAL EVAPORATION SPECTRUM
-
-    case (7)
-      ! =======================================================================
-      ! MAXWELL FISSION SPECTRUM
-
-      ! read number of interpolation regions and incoming energies
-      NR = int(edist % data(1))
-      NE = int(edist % data(2 + 2*NR))
-
-      ! determine nuclear temperature from tabulated function
-      T = interpolate_tab1(edist % data, E_in)
-
-      ! determine restriction energy
-      lc = 2 + 2*NR + 2*NE
-      U = edist % data(lc + 1)
-
-      n_sample = 0
-      do
-        ! sample maxwell fission spectrum
-        E_out = maxwell_spectrum(T)
-
-        ! accept energy based on restriction energy
-        if (E_out <= E_in - U) exit
-
-        ! check for large number of rejections
-        n_sample = n_sample + 1
-        if (n_sample == MAX_SAMPLE) then
-          ! call write_particle_restart(p)
-          call fatal_error("Too many rejections on Maxwell fission spectrum.")
-        end if
-      end do
-
-    case (9)
-      ! =======================================================================
-      ! EVAPORATION SPECTRUM
-
-      ! read number of interpolation regions and incoming energies
-      NR = int(edist % data(1))
-      NE = int(edist % data(2 + 2*NR))
-
-      ! determine nuclear temperature from tabulated function
-      T = interpolate_tab1(edist % data, E_in)
-
-      ! determine restriction energy
-      lc = 2 + 2*NR + 2*NE
-      U = edist % data(lc + 1)
-
-      y = (E_in - U)/T
-      v = 1 - exp(-y)
-
-      ! sample outgoing energy based on evaporation spectrum probability
-      ! density function
-      n_sample = 0
-      do
-        x = -log((1 - v*prn())*(1 - v*prn()))
-        if (x <= y) exit
-
-        ! check for large number of rejections
-        n_sample = n_sample + 1
-        if (n_sample == MAX_SAMPLE) then
-          ! call write_particle_restart(p)
-          call fatal_error("Too many rejections on evaporation spectrum.")
-        end if
-      end do
-
-      E_out = x*T
-
-    case (11)
-      ! =======================================================================
-      ! ENERGY-DEPENDENT WATT SPECTRUM
-
-      ! read number of interpolation regions and incoming energies for
-      ! parameter 'a'
-      NR = int(edist % data(1))
-      NE = int(edist % data(2 + 2*NR))
-
-      ! determine Watt parameter 'a' from tabulated function
-      Watt_a = interpolate_tab1(edist % data, E_in)
-
-      ! determine Watt parameter 'b' from tabulated function
-      lc = 2 + 2*(NR + NE)
-      Watt_b = interpolate_tab1(edist % data, E_in, lc + 1)
-
-      ! read number of interpolation regions and incoming energies for
-      ! parameter 'a'
-      NR = int(edist % data(lc + 1))
-      NE = int(edist % data(lc + 2 + 2*NR))
-
-      ! determine restriction energy
-      lc = lc + 2 + 2*(NR + NE)
-      U = edist % data(lc + 1)
-
-      n_sample = 0
-      do
-        ! Sample energy-dependent Watt fission spectrum
-        E_out = watt_spectrum(Watt_a, Watt_b)
-
-        ! accept energy based on restriction energy
-        if (E_out <= E_in - U) exit
-
-        ! check for large number of rejections
-        n_sample = n_sample + 1
-        if (n_sample == MAX_SAMPLE) then
-          ! call write_particle_restart(p)
-          call fatal_error("Too many rejections on Watt spectrum.")
-        end if
-      end do
-
-    case (44)
-      ! =======================================================================
-      ! KALBACH-MANN CORRELATED SCATTERING
-
-      if (.not. present(mu_out)) then
-        ! call write_particle_restart(p)
-        call fatal_error("Law 44 called without giving mu_out as argument.")
-      end if
-
-      ! read number of interpolation regions and incoming energies
-      NR = int(edist % data(1))
-      NE = int(edist % data(2 + 2*NR))
-      if (NR > 0) then
-        ! call write_particle_restart(p)
-        call fatal_error("Multiple interpolation regions not supported while &
-             &attempting to sample Kalbach-Mann distribution.")
-      end if
-
-      ! find energy bin and calculate interpolation factor -- if the energy is
-      ! outside the range of the tabulated energies, choose the first or last
-      ! bins
-      lc = 2 + 2*NR
-      if (E_in < edist % data(lc+1)) then
-        i = 1
-        r = ZERO
-      elseif (E_in > edist % data(lc+NE)) then
-        i = NE - 1
-        r = ONE
-      else
-        i = binary_search(edist % data(lc+1:lc+NE), NE, E_in)
-        r = (E_in - edist%data(lc+i)) / &
-             (edist%data(lc+i+1) - edist%data(lc+i))
-      end if
-
-      ! Sample between the ith and (i+1)th bin
-      r2 = prn()
-      if (r > r2) then
-        l = i + 1
-      else
-        l = i
-      end if
-
-      ! determine endpoints on grid i
-      lc    = int(edist%data(2+2*NR+NE + i)) ! start of LDAT for i
-      NP    = int(edist%data(lc + 2))
-      E_i_1 = edist%data(lc + 2 + 1)
-      E_i_K = edist%data(lc + 2 + NP)
-
-      ! determine endpoints on grid i+1
-      lc     = int(edist%data(2+2*NR+NE + i+1)) ! start of LDAT for i+1
-      NP     = int(edist%data(lc + 2))
-      E_i1_1 = edist%data(lc + 2 + 1)
-      E_i1_K = edist%data(lc + 2 + NP)
-
-      E_1 = E_i_1 + r*(E_i1_1 - E_i_1)
-      E_K = E_i_K + r*(E_i1_K - E_i_K)
-
-      ! determine location of outgoing energies, pdf, cdf for E(l)
-      lc = int(edist % data(2 + 2*NR + NE + l))
-
-      ! determine type of interpolation and number of discrete lines
-      INTTp = int(edist % data(lc + 1))
-      NP    = int(edist % data(lc + 2))
-      if (INTTp > 10) then
-        INTT = mod(INTTp,10)
-        ND = (INTTp - INTT)/10
-      else
-        INTT = INTTp
-        ND = 0
-      end if
-
-      if (ND > 0) then
-        ! discrete lines present
-        ! call write_particle_restart(p)
-        call fatal_error("Discrete lines in continuous tabular distributed not &
-             &yet supported")
-      end if
-
-      ! determine outgoing energy bin
-      r1 = prn()
-      lc = lc + 2 ! start of EOUT
-      c_k = edist % data(lc + 2*NP + 1)
-      do k = 1, NP - 1
-        c_k1 = edist % data(lc + 2*NP + k+1)
-        if (r1 < c_k1) exit
-        c_k = c_k1
-      end do
-
-      ! check to make sure k is <= NP - 1
-      k = min(k, NP - 1)
-
-      E_l_k = edist % data(lc+k)
-      p_l_k = edist % data(lc+NP+k)
-      if (INTT == HISTOGRAM) then
-        ! Histogram interpolation
-        if (p_l_k > ZERO) then
-          E_out = E_l_k + (r1 - c_k)/p_l_k
-        else
-          E_out = E_l_k
-        end if
-
-        ! Determine Kalbach-Mann parameters
-        KM_R = edist % data(lc + 3*NP + k)
-        KM_A = edist % data(lc + 4*NP + k)
-
-      elseif (INTT == LINEAR_LINEAR) then
-        ! Linear-linear interpolation
-        E_l_k1 = edist % data(lc+k+1)
-        p_l_k1 = edist % data(lc+NP+k+1)
-
-        ! Find E prime
-        frac = (p_l_k1 - p_l_k)/(E_l_k1 - E_l_k)
-        if (frac == ZERO) then
-          E_out = E_l_k + (r1 - c_k)/p_l_k
-        else
-          E_out = E_l_k + (sqrt(max(ZERO, p_l_k*p_l_k + &
-               2*frac*(r1 - c_k))) - p_l_k)/frac
-        end if
-
-        ! Determine Kalbach-Mann parameters
-        R_k  = edist % data(lc + 3*NP + k)
-        R_k1 = edist % data(lc + 3*NP + k+1)
-        A_k  = edist % data(lc + 4*NP + k)
-        A_k1 = edist % data(lc + 4*NP + k+1)
-
-        KM_R = R_k + (R_k1 - R_k)*(E_out - E_l_k)/(E_l_k1 - E_l_k)
-        KM_A = A_k + (A_k1 - A_k)*(E_out - E_l_k)/(E_l_k1 - E_l_k)
-      else
-        ! call write_particle_restart()
-        call fatal_error("Unknown interpolation type: " // trim(to_str(INTT)))
-      end if
-
-      ! Now interpolate between incident energy bins i and i + 1
-      if (l == i) then
-        E_out = E_1 + (E_out - E_i_1)*(E_K - E_1)/(E_i_K - E_i_1)
-      else
-        E_out = E_1 + (E_out - E_i1_1)*(E_K - E_1)/(E_i1_K - E_i1_1)
-      end if
-
-      ! Sampled correlated angle from Kalbach-Mann parameters
-      r3 = prn()
-      r4 = prn()
-      if (r3 > KM_R) then
-        T = (TWO*r4 - ONE) * sinh(KM_A)
-        mu_out = log(T + sqrt(T*T + ONE))/KM_A
-      else
-        mu_out = log(r4*exp(KM_A) + (ONE - r4)*exp(-KM_A))/KM_A
-      end if
-
-    case (61)
-      ! =======================================================================
-      ! CORRELATED ENERGY AND ANGLE DISTRIBUTION
-
-      if (.not. present(mu_out)) then
-        ! call write_particle_restart()
-        call fatal_error("Law 61 called without giving mu_out as argument.")
-      end if
-
-      ! read number of interpolation regions and incoming energies
-      NR = int(edist % data(1))
-      NE = int(edist % data(2 + 2*NR))
-      if (NR > 0) then
-        ! call write_particle_restart()
-        call fatal_error("Multiple interpolation regions not supported while &
-             &attempting to sample correlated energy-angle distribution.")
-      end if
-
-      ! find energy bin and calculate interpolation factor -- if the energy is
-      ! outside the range of the tabulated energies, choose the first or last
-      ! bins
-      lc = 2 + 2*NR
-      if (E_in < edist % data(lc+1)) then
-        i = 1
-        r = ZERO
-      elseif (E_in > edist % data(lc+NE)) then
-        i = NE - 1
-        r = ONE
-      else
-        i = binary_search(edist % data(lc+1:lc+NE), NE, E_in)
-        r = (E_in - edist%data(lc+i)) / &
-             (edist%data(lc+i+1) - edist%data(lc+i))
-      end if
-
-      ! Sample between the ith and (i+1)th bin
-      r2 = prn()
-      if (r > r2) then
-        l = i + 1
-      else
-        l = i
-      end if
-
-      ! determine endpoints on grid i
-      lc    = int(edist%data(2+2*NR+NE + i)) ! start of LDAT for i
-      NP    = int(edist%data(lc + 2))
-      E_i_1 = edist%data(lc + 2 + 1)
-      E_i_K = edist%data(lc + 2 + NP)
-
-      ! determine endpoints on grid i+1
-      lc     = int(edist%data(2+2*NR+NE + i+1)) ! start of LDAT for i+1
-      NP     = int(edist%data(lc + 2))
-      E_i1_1 = edist%data(lc + 2 + 1)
-      E_i1_K = edist%data(lc + 2 + NP)
-
-      E_1 = E_i_1 + r*(E_i1_1 - E_i_1)
-      E_K = E_i_K + r*(E_i1_K - E_i_K)
-
-      ! determine location of outgoing energies, pdf, cdf for E(l)
-      lc = int(edist % data(2 + 2*NR + NE + l))
-
-      ! determine type of interpolation and number of discrete lines
-      INTTp = int(edist % data(lc + 1))
-      NP    = int(edist % data(lc + 2))
-      if (INTTp > 10) then
-        INTT = mod(INTTp,10)
-        ND = (INTTp - INTT)/10
-      else
-        INTT = INTTp
-        ND = 0
-      end if
-
-      if (ND > 0) then
-        ! discrete lines present
-        ! call write_particle_restart()
-        call fatal_error("Discrete lines in continuous tabular distributed not &
-             &yet supported")
-      end if
-
-      ! determine outgoing energy bin
-      r1 = prn()
-      lc = lc + 2 ! start of EOUT
-      c_k = edist % data(lc + 2*NP + 1)
-      do k = 1, NP - 1
-        c_k1 = edist % data(lc + 2*NP + k+1)
-        if (r1 < c_k1) exit
-        c_k = c_k1
-      end do
-
-      ! check to make sure k is <= NP - 1
-      k = min(k, NP - 1)
-
-      E_l_k = edist % data(lc+k)
-      p_l_k = edist % data(lc+NP+k)
-      if (INTT == HISTOGRAM) then
-        ! Histogram interpolation
-        if (p_l_k > ZERO) then
-          E_out = E_l_k + (r1 - c_k)/p_l_k
-        else
-          E_out = E_l_k
-        end if
-
-      elseif (INTT == LINEAR_LINEAR) then
-        ! Linear-linear interpolation
-        E_l_k1 = edist % data(lc+k+1)
-        p_l_k1 = edist % data(lc+NP+k+1)
-
-        ! Find E prime
-        frac = (p_l_k1 - p_l_k)/(E_l_k1 - E_l_k)
-        if (frac == ZERO) then
-          E_out = E_l_k + (r1 - c_k)/p_l_k
-        else
-          E_out = E_l_k + (sqrt(max(ZERO, p_l_k*p_l_k + &
-               2*frac*(r1 - c_k))) - p_l_k)/frac
-        end if
-      else
-        ! call write_particle_restart()
-        call fatal_error("Unknown interpolation type: " // trim(to_str(INTT)))
-      end if
-
-      ! Now interpolate between incident energy bins i and i + 1
-      if (l == i) then
-        E_out = E_1 + (E_out - E_i_1)*(E_K - E_1)/(E_i_K - E_i_1)
-      else
-        E_out = E_1 + (E_out - E_i1_1)*(E_K - E_1)/(E_i1_K - E_i1_1)
-      end if
-
-      ! Find correlated angular distribution for closest outgoing energy bin
-      if (r1 - c_k < c_k1 - r1) then
-        lc = int(edist % data(lc + 3*NP + k))
-      else
-        lc = int(edist % data(lc + 3*NP + k + 1))
-      end if
-
-      ! Check if angular distribution is isotropic
-      if (lc == 0) then
-        mu_out = TWO * prn() - ONE
-        return
-      end if
-
-      ! interpolation type and number of points in angular distribution
-      JJ = int(edist % data(lc + 1))
-      NP = int(edist % data(lc + 2))
-
-      ! determine outgoing cosine bin
-      r3 = prn()
-      lc = lc + 2
-      c_k = edist % data(lc + 2*NP + 1)
-      do k = 1, NP - 1
-        c_k1 = edist % data(lc + 2*NP + k+1)
-        if (r3 < c_k1) exit
-        c_k = c_k1
-      end do
-
-      ! check to make sure k is <= NP - 1
-      k = min(k, NP - 1)
-
-      p_k  = edist % data(lc + NP + k)
-      mu_k = edist % data(lc + k)
-      if (JJ == HISTOGRAM) then
-        ! Histogram interpolation
-        if (p_k > ZERO) then
-          mu_out = mu_k + (r3 - c_k)/p_k
-        else
-          mu_out = mu_k
-        end if
-
-      elseif (JJ == LINEAR_LINEAR) then
-        ! Linear-linear interpolation
-        p_k1  = edist % data(lc + NP + k+1)
-        mu_k1 = edist % data(lc + k+1)
-
-        frac = (p_k1 - p_k)/(mu_k1 - mu_k)
-        if (frac == ZERO) then
-          mu_out = mu_k + (r3 - c_k)/p_k
-        else
-          mu_out = mu_k + (sqrt(p_k*p_k + 2*frac*(r3 - c_k))-p_k)/frac
-        end if
-      else
-        ! call write_particle_restart()
-        call fatal_error("Unknown interpolation type: " // trim(to_str(JJ)))
-      end if
-
-    case (66)
-      ! =======================================================================
-      ! N-BODY PHASE SPACE DISTRIBUTION
-
-      ! read number of bodies in phase space and total mass ratio
-      n_bodies = int(edist % data(1))
-      Ap       = edist % data(2)
-
-      ! determine E_max parameter
-      E_max = (Ap - ONE)/Ap * (A/(A+ONE)*E_in + Q)
-
-      ! x is essentially a Maxwellian distribution
-      x = maxwell_spectrum(ONE)
-
-      select case (n_bodies)
-      case (3)
-        y = maxwell_spectrum(ONE)
-      case (4)
-        r1 = prn()
-        r2 = prn()
-        r3 = prn()
-        y = -log(r1*r2*r3)
-      case (5)
-        r1 = prn()
-        r2 = prn()
-        r3 = prn()
-        r4 = prn()
-        r5 = prn()
-        r6 = prn()
-        y = -log(r1*r2*r3*r4) - log(r5) * cos(PI/TWO*r6)**2
-      end select
-
-      ! now determine v and E_out
-      v = x/(x+y)
-      E_out = E_max * v
-
-    case (67)
-      ! =======================================================================
-      ! LABORATORY ENERGY-ANGLE LAW
-
-    end select
-
-  end subroutine sample_energy
-
 end module physics
diff --git a/src/physics_common.F90 b/src/physics_common.F90
new file mode 100644
index 0000000000..98d240c077
--- /dev/null
+++ b/src/physics_common.F90
@@ -0,0 +1,33 @@
+module physics_common
+
+  use constants
+  use global,                 only: weight_cutoff, weight_survive
+  use particle_header,        only: Particle
+  use random_lcg,             only: prn
+
+  implicit none
+
+contains
+
+!===============================================================================
+! RUSSIAN_ROULETTE
+!===============================================================================
+
+  subroutine russian_roulette(p)
+
+    type(Particle), intent(inout) :: p
+
+    if (p % wgt < weight_cutoff) then
+      if (prn() < p % wgt / weight_survive) then
+        p % wgt = weight_survive
+        p % last_wgt = p % wgt
+      else
+        p % wgt = ZERO
+        p % last_wgt = ZERO
+        p % alive = .false.
+      end if
+    end if
+
+  end subroutine russian_roulette
+
+end module physics_common
diff --git a/src/physics_mg.F90 b/src/physics_mg.F90
new file mode 100644
index 0000000000..2e5e467c14
--- /dev/null
+++ b/src/physics_mg.F90
@@ -0,0 +1,270 @@
+module physics_mg
+  ! This module contains the multi-group specific physics routines so as to not
+  ! hinder performance of the CE versions with multiple if-thens.
+
+  use constants
+  use error,                  only: fatal_error, warning
+  use global
+  use material_header,        only: Material
+  use math,                   only: rotate_angle
+  use mgxs_header,            only: Mgxs, MgxsContainer
+  use mesh,                   only: get_mesh_indices
+  use output,                 only: write_message
+  use particle_header,        only: Particle
+  use particle_restart_write, only: write_particle_restart
+  use physics_common
+  use random_lcg,             only: prn
+  use scattdata_header
+  use string,                 only: to_str
+
+  implicit none
+
+contains
+
+!===============================================================================
+! COLLISION_MG samples a nuclide and reaction and then calls the appropriate
+! routine for that reaction
+!===============================================================================
+
+  subroutine collision_mg(p)
+
+    type(Particle), intent(inout) :: p
+
+    ! Store pre-collision particle properties
+    p % last_wgt = p % wgt
+    p % last_g   = p % g
+    p % last_E   = p % E
+    p % last_uvw = p % coord(1) % uvw
+
+    ! Add to collision counter for particle
+    p % n_collision = p % n_collision + 1
+
+    ! Sample nuclide/reaction for the material the particle is in
+    call sample_reaction(p)
+
+    ! Display information about collision
+    if (verbosity >= 10 .or. trace) then
+      call write_message("    " // "Energy Group = " // trim(to_str(p % g)))
+    end if
+
+  end subroutine collision_mg
+
+!===============================================================================
+! SAMPLE_REACTION samples a nuclide based on the macroscopic cross sections for
+! each nuclide within a material and then samples a reaction for that nuclide
+! and calls the appropriate routine to process the physics. Note that there is
+! special logic when suvival biasing is turned on since fission and
+! disappearance are treated implicitly.
+!===============================================================================
+
+  subroutine sample_reaction(p)
+
+    type(Particle), intent(inout) :: p
+
+    type(Material), pointer :: mat
+
+    mat => materials(p % material)
+
+    ! Create fission bank sites. Note that while a fission reaction is sampled,
+    ! it never actually "happens", i.e. the weight of the particle does not
+    ! change when sampling fission sites. The following block handles all
+    ! absorption (including fission)
+
+    if (mat % fissionable) then
+      if (run_mode == MODE_EIGENVALUE) then
+        call create_fission_sites(p, fission_bank, n_bank)
+      elseif (run_mode == MODE_FIXEDSOURCE) then
+        call create_fission_sites(p, p % secondary_bank, p % n_secondary)
+      end if
+    end if
+
+    ! If survival biasing is being used, the following subroutine adjusts the
+    ! weight of the particle. Otherwise, it checks to see if absorption occurs
+
+    if (material_xs % absorption > ZERO) then
+      call absorption(p)
+    else
+      p % absorb_wgt = ZERO
+    end if
+    if (.not. p % alive) return
+
+    ! Sample a scattering reaction and determine the secondary energy of the
+    ! exiting neutron
+    call scatter(p)
+
+    ! Play russian roulette if survival biasing is turned on
+    if (survival_biasing) then
+      call russian_roulette(p)
+      if (.not. p % alive) return
+    end if
+
+  end subroutine sample_reaction
+
+!===============================================================================
+! ABSORPTION
+!===============================================================================
+
+  subroutine absorption(p)
+
+    type(Particle), intent(inout) :: p
+
+    if (survival_biasing) then
+      ! Determine weight absorbed in survival biasing
+      p % absorb_wgt = (p % wgt * &
+                        material_xs % absorption / material_xs % total)
+
+      ! Adjust weight of particle by probability of absorption
+      p % wgt = p % wgt - p % absorb_wgt
+      p % last_wgt = p % wgt
+
+      ! Score implicit absorption estimate of keff
+!$omp atomic
+      global_tallies(K_ABSORPTION) % value = &
+           global_tallies(K_ABSORPTION) % value + p % absorb_wgt * &
+           material_xs % nu_fission / material_xs % absorption
+    else
+      ! See if disappearance reaction happens
+      if (material_xs % absorption > prn() * material_xs % total) then
+        ! Score absorption estimate of keff
+!$omp atomic
+        global_tallies(K_ABSORPTION) % value = &
+             global_tallies(K_ABSORPTION) % value + p % wgt * &
+             material_xs % nu_fission / material_xs % absorption
+
+        p % alive = .false.
+        p % event = EVENT_ABSORB
+      end if
+    end if
+
+  end subroutine absorption
+
+!===============================================================================
+! SCATTER
+!===============================================================================
+
+  subroutine scatter(p)
+
+    type(Particle), intent(inout)  :: p
+
+    call macro_xs(p % material) % obj % sample_scatter(p % coord(1) % uvw, &
+                                                       p % last_g, p % g, &
+                                                       p % mu, p % wgt)
+
+    ! Update energy value for downstream compatability (in tallying)
+    p % E = energy_bin_avg(p % g)
+
+    ! Convert change in angle (mu) to new direction
+    p % coord(1) % uvw = rotate_angle(p % coord(1) % uvw, p % mu)
+
+    ! Set event component
+    p % event = EVENT_SCATTER
+
+  end subroutine scatter
+
+!===============================================================================
+! CREATE_FISSION_SITES determines the average total, prompt, and delayed
+! neutrons produced from fission and creates appropriate bank sites.
+!===============================================================================
+
+  subroutine create_fission_sites(p, bank_array, size_bank)
+    type(Particle), intent(inout) :: p
+    type(Bank),     intent(inout) :: bank_array(:)
+    integer(8),     intent(inout) :: size_bank
+
+    integer :: i                        ! loop index
+    integer :: nu                       ! actual number of neutrons produced
+    integer :: ijk(3)                   ! indices in ufs mesh
+    real(8) :: nu_t                     ! total nu
+    real(8) :: mu                       ! fission neutron angular cosine
+    real(8) :: phi                      ! fission neutron azimuthal angle
+    real(8) :: weight                   ! weight adjustment for ufs method
+    logical :: in_mesh                  ! source site in ufs mesh?
+    class(Mgxs), pointer :: xs
+
+    ! Get Pointers
+    xs => macro_xs(p % material) % obj
+
+    ! TODO: Heat generation from fission
+
+    ! If uniform fission source weighting is turned on, we increase of decrease
+    ! the expected number of fission sites produced
+
+    if (ufs) then
+      ! Determine indices on ufs mesh for current location
+      call get_mesh_indices(ufs_mesh, p % coord(1) % xyz, ijk, in_mesh)
+      if (.not. in_mesh) then
+        call write_particle_restart(p)
+        call fatal_error("Source site outside UFS mesh!")
+      end if
+
+      if (source_frac(1,ijk(1),ijk(2),ijk(3)) /= ZERO) then
+        weight = ufs_mesh % volume_frac / source_frac(1,ijk(1),ijk(2),ijk(3))
+      else
+        weight = ONE
+      end if
+    else
+      weight = ONE
+    end if
+
+    ! Determine expected number of neutrons produced
+    nu_t = p % wgt / keff * weight * &
+         material_xs % nu_fission / material_xs % total
+    ! Sample number of neutrons produced
+    if (prn() > nu_t - int(nu_t)) then
+      nu = int(nu_t)
+    else
+      nu = int(nu_t) + 1
+    end if
+
+    ! Check for bank size getting hit. For fixed source calculations, this is a
+    ! fatal error. For eigenvalue calculations, it just means that k-effective
+    ! was too high for a single batch.
+    if (size_bank + nu > size(bank_array)) then
+      if (run_mode == MODE_FIXEDSOURCE) then
+        call fatal_error("Secondary particle bank size limit reached. If you &
+             &are running a subcritical multiplication problem, k-effective &
+             &may be too close to one.")
+      else
+        if (master) call warning("Maximum number of sites in fission bank &
+             &reached. This can result in irreproducible results using different &
+             &numbers of processes/threads.")
+      end if
+    end if
+
+    ! Bank source neutrons
+    if (nu == 0 .or. size_bank == size(bank_array)) return
+
+    p % fission = .true. ! Fission neutrons will be banked
+    do i = int(size_bank,4) + 1, int(min(size_bank + nu, int(size(bank_array),8)),4)
+      ! Bank source neutrons by copying particle data
+      bank_array(i) % xyz = p % coord(1) % xyz
+
+      ! Set weight of fission bank site
+      bank_array(i) % wgt = ONE/weight
+
+      ! Sample cosine of angle -- fission neutrons are treated as being emitted
+      ! isotropically.
+      mu = TWO * prn() - ONE
+
+      ! Sample azimuthal angle uniformly in [0,2*pi)
+      phi = TWO * PI * prn()
+      bank_array(i) % uvw(1) = mu
+      bank_array(i) % uvw(2) = sqrt(ONE - mu*mu) * cos(phi)
+      bank_array(i) % uvw(3) = sqrt(ONE - mu*mu) * sin(phi)
+
+      ! Sample secondary energy distribution for fission reaction and set energy
+      ! in fission bank
+      bank_array(i) % E = &
+           real(xs % sample_fission_energy(p % g, bank_array(i) % uvw), 8)
+    end do
+
+    ! increment number of bank sites
+    size_bank = min(size_bank + nu, int(size(bank_array),8))
+
+    ! Store total weight banked for analog fission tallies
+    p % n_bank   = nu
+    p % wgt_bank = nu/weight
+
+  end subroutine create_fission_sites
+
+end module physics_mg
diff --git a/src/plot.F90 b/src/plot.F90
index a5497bc203..796cce6afa 100644
--- a/src/plot.F90
+++ b/src/plot.F90
@@ -9,7 +9,7 @@ module plot
   use mesh,            only: get_mesh_indices
   use mesh_header,     only: RegularMesh
   use output,          only: write_message
-  use particle_header, only: Particle, LocalCoord
+  use particle_header, only: LocalCoord, Particle
   use plot_header
   use ppmlib,          only: Image, init_image, allocate_image, &
                              deallocate_image, set_pixel
@@ -56,7 +56,7 @@ contains
 
   subroutine position_rgb(p, pl, rgb, id)
 
-    type(Particle), intent(inout)         :: p
+    type(Particle), intent(inout)   :: p
     type(ObjectPlot), pointer, intent(in) :: pl
     integer, intent(out)                  :: rgb(3)
     integer, intent(out)                  :: id
@@ -82,17 +82,17 @@ contains
       if (pl % color_by == PLOT_COLOR_MATS) then
         ! Assign color based on material
         c => cells(p % coord(j) % cell)
-        if (c % material == MATERIAL_VOID) then
-          ! By default, color void cells white
-          rgb = 255
-          id = -1
-        else if (c % type == CELL_FILL) then
+        if (c % type == CELL_FILL) then
           ! If we stopped on a middle universe level, treat as if not found
           rgb = pl % not_found % rgb
           id = -1
+        else if (p % material == MATERIAL_VOID) then
+          ! By default, color void cells white
+          rgb = 255
+          id = -1
         else
-          rgb = pl % colors(c % material) % rgb
-          id = materials(c % material) % id
+          rgb = pl % colors(p % material) % rgb
+          id = materials(p % material) % id
         end if
       else if (pl % color_by == PLOT_COLOR_CELLS) then
         ! Assign color based on cell
@@ -364,7 +364,7 @@ contains
     real(8) :: ll(3)        ! lower left starting point for each sweep direction
     type(Particle)    :: p
     type(ProgressBar) :: progress
-    type(c_ptr) :: f_ptr
+    type(c_ptr)       :: f_ptr
 
     ! compute voxel widths in each direction
     vox = pl % width/dble(pl % pixels)
diff --git a/src/product_header.F90 b/src/product_header.F90
new file mode 100644
index 0000000000..e20c173b4c
--- /dev/null
+++ b/src/product_header.F90
@@ -0,0 +1,62 @@
+module product_header
+
+  use angleenergy_header, only: AngleEnergyContainer
+  use constants, only: ZERO, MAX_WORD_LEN, EMISSION_PROMPT, EMISSION_DELAYED, &
+       EMISSION_TOTAL, NEUTRON, PHOTON
+  use endf_header, only: Tabulated1D, Function1D, Constant1D, Polynomial
+  use random_lcg, only: prn
+
+!===============================================================================
+! REACTIONPRODUCT stores a data for a reaction product including its yield and
+! angle-energy distributions, each of which has a given probability of occurring
+! for a given incoming energy. In general, most products only have one
+! angle-energy distribution, but for some cases (e.g., (n,2n) in certain
+! nuclides) multiple distinct distributions exist.
+!===============================================================================
+
+  type :: ReactionProduct
+    integer :: particle
+    integer :: emission_mode            ! prompt, delayed, or total emission
+    real(8) :: decay_rate               ! Decay rate for delayed neutron precursors
+    class(Function1D), pointer :: yield => null()  ! Energy-dependent neutron yield
+    type(Tabulated1D), allocatable :: applicability(:)
+    type(AngleEnergyContainer), allocatable :: distribution(:)
+  contains
+    procedure :: sample => reactionproduct_sample
+  end type ReactionProduct
+
+contains
+
+  subroutine reactionproduct_sample(this, E_in, E_out, mu)
+    class(ReactionProduct), intent(in) :: this
+    real(8), intent(in)  :: E_in  ! incoming energy
+    real(8), intent(out) :: E_out ! sampled outgoing energy
+    real(8), intent(out) :: mu    ! sampled scattering cosine
+
+    integer :: i       ! loop counter
+    integer :: n       ! number of angle-energy distributions
+    real(8) :: prob    ! cumulative probability
+    real(8) :: c       ! sampled cumulative probability
+
+    n = size(this%applicability)
+    if (n > 1) then
+      prob = ZERO
+      c = prn()
+      do i = 1, n
+        ! Determine probability that i-th energy distribution is sampled
+        prob = prob + this % applicability(i) % evaluate(E_in)
+
+        ! If i-th distribution is sampled, sample energy from the distribution
+        if (c <= prob) then
+          call this%distribution(i)%obj%sample(E_in, E_out, mu)
+          exit
+        end if
+      end do
+    else
+      ! If only one distribution is present, go ahead and sample it
+      call this%distribution(1)%obj%sample(E_in, E_out, mu)
+    end if
+
+  end subroutine reactionproduct_sample
+
+end module product_header
diff --git a/src/random_lcg.F90 b/src/random_lcg.F90
index 1ebe651d3c..08f1034ab7 100644
--- a/src/random_lcg.F90
+++ b/src/random_lcg.F90
@@ -7,6 +7,9 @@ module random_lcg
   private
   save
 
+  ! Random number seed
+  integer(8), public :: seed = 1_8
+
   integer(8) :: prn_seed0  ! original seed
   integer(8) :: prn_seed(N_STREAMS) ! current seed
   integer(8) :: prn_mult   ! multiplication factor, g
@@ -21,9 +24,10 @@ module random_lcg
 !$omp threadprivate(prn_seed, stream)
 
   public :: prn
+  public :: future_prn
   public :: initialize_prng
   public :: set_particle_seed
-  public :: prn_skip
+  public :: advance_prn_seed
   public :: prn_set_stream
   public :: STREAM_TRACKING, STREAM_TALLIES
 
@@ -49,6 +53,21 @@ contains
 
   end function prn
 
+!===============================================================================
+! FUTURE_PRN generates a pseudo-random number which is 'n' times ahead from the
+! current seed.
+!===============================================================================
+
+  function future_prn(n) result(pseudo_rn)
+
+    integer(8), intent(in) :: n        ! number of prns to skip
+
+    real(8) :: pseudo_rn
+
+    pseudo_rn  = future_seed(n, prn_seed(stream)) * prn_norm
+
+  end function future_prn
+
 !===============================================================================
 ! INITIALIZE_PRNG sets up the random number generator, determining the seed and
 ! values for g, c, and m.
@@ -56,8 +75,6 @@ contains
 
   subroutine initialize_prng()
 
-    use global, only: seed
-
     integer :: i
 
     prn_seed0  = seed
@@ -89,31 +106,32 @@ contains
     integer :: i
 
     do i = 1, N_STREAMS
-      prn_seed(i) = prn_skip_ahead(id*prn_stride, prn_seed0 + i - 1)
+      prn_seed(i) = future_seed(id*prn_stride, prn_seed0 + i - 1)
     end do
 
   end subroutine set_particle_seed
 
 !===============================================================================
-! PRN_SKIP advances the random number seed 'n' times from the current seed
+! ADVANCE_PRN_SEED advances the random number seed 'n' times from the current
+! seed.
 !===============================================================================
 
-  subroutine prn_skip(n)
+  subroutine advance_prn_seed(n)
 
     integer(8), intent(in) :: n ! number of seeds to skip
 
-    prn_seed(stream) = prn_skip_ahead(n, prn_seed(stream))
+    prn_seed(stream) = future_seed(n, prn_seed(stream))
 
-  end subroutine prn_skip
+  end subroutine advance_prn_seed
 
 !===============================================================================
-! PRN_SKIP_AHEAD advances the random number seed 'skip' times. This is usually
+! FUTURE_SEED advances the random number seed 'skip' times. This is usually
 ! used to skip a fixed number of random numbers (the stride) so that a given
 ! particle always has the same starting seed regardless of how many processors
 ! are used
 !===============================================================================
 
-  function prn_skip_ahead(n, seed) result(new_seed)
+  function future_seed(n, seed) result(new_seed)
 
     integer(8), intent(in) :: n        ! number of seeds to skip
     integer(8), intent(in) :: seed     ! original seed
@@ -165,7 +183,7 @@ contains
     ! With G and C, we can now find the new seed
     new_seed = iand(g_new*seed + c_new, prn_mask)
 
-  end function prn_skip_ahead
+  end function future_seed
 
 !===============================================================================
 ! PRN_SET_STREAM changes the random number stream. If random numbers are needed
diff --git a/src/reaction_header.F90 b/src/reaction_header.F90
new file mode 100644
index 0000000000..160ad63239
--- /dev/null
+++ b/src/reaction_header.F90
@@ -0,0 +1,21 @@
+module reaction_header
+
+  use product_header, only: ReactionProduct
+
+  implicit none
+
+!===============================================================================
+! REACTION contains the cross-section and secondary energy and angle
+! distributions for a single reaction in a continuous-energy ACE-format table
+!===============================================================================
+
+  type Reaction
+    integer :: MT                      ! ENDF MT value
+    real(8) :: Q_value                 ! Reaction Q value
+    integer :: threshold               ! Energy grid index of threshold
+    logical :: scatter_in_cm           ! scattering system in center-of-mass?
+    real(8), allocatable :: sigma(:)   ! Cross section values
+    type(ReactionProduct), allocatable :: products(:)
+  end type Reaction
+
+end module reaction_header
diff --git a/src/relaxng/geometry.rnc b/src/relaxng/geometry.rnc
index 2a8d07b8c0..49b90e4e54 100644
--- a/src/relaxng/geometry.rnc
+++ b/src/relaxng/geometry.rnc
@@ -6,9 +6,11 @@ element geometry {
     (element universe { xsd:int } | attribute universe { xsd:int })? &
     (
       (element fill { xsd:int } | attribute fill { xsd:int }) |
-      (element material { ( xsd:int | "void" ) } |
-        attribute material { ( xsd:int | "void" ) })
+      (element material { ( xsd:int | "void" )+ } |
+        attribute material { ( xsd:int | "void" )+ })
     ) &
+    (element temperature { list { xsd:double+ } } |
+      attribute temperature { list { xsd:double+ } } )? &
     (element region { xsd:string } | attribute region { xsd:string })? &
     (element rotation { list { xsd:double+ } } | attribute rotation { list { xsd:double+ } })? &
     (element translation { list { xsd:double+ } } | attribute translation { list { xsd:double+ } })?
@@ -21,8 +23,9 @@ element geometry {
     (element type { xsd:string { maxLength = "15" } } |
      attribute type { xsd:string { maxLength = "15" } }) &
     (element coeffs { list { xsd:double+ } } | attribute coeffs { list { xsd:double+ } }) &
-    (element boundary { ( "transmit" | "reflective" | "vacuum" ) } |
-     attribute boundary { ( "transmit" | "reflective" | "vacuum" ) })?
+    (element boundary { ( "transmit" | "reflective" | "vacuum" | "periodic" ) } |
+     attribute boundary { ( "transmit" | "reflective" | "vacuum" | "periodic" ) })? &
+    (element periodic_surface_id { xsd:int } | attribute periodic_surface_id { xsd:int })?
   }*
 
   & element lattice {
diff --git a/src/relaxng/geometry.rng b/src/relaxng/geometry.rng
index fcb310d0b3..4a4fa30ebc 100644
--- a/src/relaxng/geometry.rng
+++ b/src/relaxng/geometry.rng
@@ -47,19 +47,41 @@
             </choice>
             <choice>
               <element name="material">
-                <choice>
-                  <data type="int"/>
-                  <value>void</value>
-                </choice>
+                <oneOrMore>
+                  <choice>
+                    <data type="int"/>
+                    <value>void</value>
+                  </choice>
+                </oneOrMore>
               </element>
               <attribute name="material">
-                <choice>
-                  <data type="int"/>
-                  <value>void</value>
-                </choice>
+                <oneOrMore>
+                  <choice>
+                    <data type="int"/>
+                    <value>void</value>
+                  </choice>
+                </oneOrMore>
               </attribute>
             </choice>
           </choice>
+          <optional>
+            <choice>
+              <element name="temperature">
+                <list>
+                  <oneOrMore>
+                    <data type="double"/>
+                  </oneOrMore>
+                </list>
+              </element>
+              <attribute name="temperature">
+                <list>
+                  <oneOrMore>
+                    <data type="double"/>
+                  </oneOrMore>
+                </list>
+              </attribute>
+            </choice>
+          </optional>
           <optional>
             <choice>
               <element name="region">
@@ -169,6 +191,7 @@
                   <value>transmit</value>
                   <value>reflective</value>
                   <value>vacuum</value>
+                  <value>periodic</value>
                 </choice>
               </element>
               <attribute name="boundary">
@@ -176,10 +199,21 @@
                   <value>transmit</value>
                   <value>reflective</value>
                   <value>vacuum</value>
+                  <value>periodic</value>
                 </choice>
               </attribute>
             </choice>
           </optional>
+          <optional>
+            <choice>
+              <element name="periodic_surface_id">
+                <data type="int"/>
+              </element>
+              <attribute name="periodic_surface_id">
+                <data type="int"/>
+              </attribute>
+            </choice>
+          </optional>
         </interleave>
       </element>
     </zeroOrMore>
diff --git a/src/relaxng/materials.rnc b/src/relaxng/materials.rnc
index da68ebf9ea..21b36c07e1 100644
--- a/src/relaxng/materials.rnc
+++ b/src/relaxng/materials.rnc
@@ -11,10 +11,10 @@ element materials {
     } &
 
     element nuclide {
-      (element name { xsd:string { maxLength = "7" } } | 
+      (element name { xsd:string { maxLength = "7" } } |
         attribute name { xsd:string { maxLength = "7" } }) &
-      (element xs { xsd:string { maxLength = "3" } } |
-        attribute xs { xsd:string { maxLength = "3" } })? &
+      (element xs { xsd:string { maxLength = "5" } } |
+        attribute xs { xsd:string { maxLength = "5" } })? &
       (element scattering { ( "data" | "iso-in-lab" ) } |
         attribute scattering { ( "data" | "iso-in-lab" ) })? &
       (
@@ -23,11 +23,18 @@ element materials {
       )
     }*  &
 
+    element macroscopic {
+      (element name { xsd:string } |
+        attribute name { xsd:string }) &
+      (element xs { xsd:string { maxLength = "5" } } |
+        attribute xs { xsd:string { maxLength = "5" } })
+    }*  &
+
     element element {
-      (element name { xsd:string { maxLength = "2" } } | 
+      (element name { xsd:string { maxLength = "2" } } |
         attribute name { xsd:string { maxLength = "2" } }) &
-      (element xs { xsd:string { maxLength = "3" } } |
-        attribute xs { xsd:string { maxLength = "3" } })? &
+      (element xs { xsd:string { maxLength = "5" } } |
+        attribute xs { xsd:string { maxLength = "5" } })? &
       (element scattering { ( "data" | "iso-in-lab" ) } |
         attribute scattering { ( "data" | "iso-in-lab" ) })? &
       (
@@ -37,12 +44,12 @@ element materials {
     }*  &
 
     element sab {
-      (element name { xsd:string { maxLength = "7" } } | 
+      (element name { xsd:string { maxLength = "7" } } |
         attribute name { xsd:string { maxLength = "7" } }) &
-      (element xs { xsd:string { maxLength = "3" } } |
-        attribute xs { xsd:string { maxLength = "3" } })?
+      (element xs { xsd:string { maxLength = "5" } } |
+        attribute xs { xsd:string { maxLength = "5" } })?
     }*
   }+ &
 
-  element default_xs { xsd:string { maxLength = "3" } }?
+  element default_xs { xsd:string { maxLength = "5" } }?
 }
diff --git a/src/relaxng/materials.rng b/src/relaxng/materials.rng
index 7aba5f7382..6a4bc39645 100644
--- a/src/relaxng/materials.rng
+++ b/src/relaxng/materials.rng
@@ -118,6 +118,36 @@
               </interleave>
             </element>
           </zeroOrMore>
+          <zeroOrMore>
+            <element name="macroscopic">
+              <interleave>
+                <choice>
+                  <element name="name">
+                    <data type="string">
+                      <param name="maxLength">7</param>
+                    </data>
+                  </element>
+                  <attribute name="name">
+                    <data type="string">
+                      <param name="maxLength">7</param>
+                    </data>
+                  </attribute>
+                </choice>
+                <choice>
+                  <element name="xs">
+                    <data type="string">
+                      <param name="maxLength">3</param>
+                    </data>
+                  </element>
+                  <attribute name="xs">
+                    <data type="string">
+                      <param name="maxLength">3</param>
+                    </data>
+                  </attribute>
+                </choice>
+              </interleave>
+            </element>
+          </zeroOrMore>
           <zeroOrMore>
             <element name="element">
               <interleave>
diff --git a/src/relaxng/mg_cross_sections.rnc b/src/relaxng/mg_cross_sections.rnc
new file mode 100644
index 0000000000..b2aaec4d40
--- /dev/null
+++ b/src/relaxng/mg_cross_sections.rnc
@@ -0,0 +1,61 @@
+element cross_sections {
+
+  element groups { xsd:int } &
+
+  element group_structure { list { xsd:double+ } } &
+
+  element inverse_velocities { list { xsd:double+ } }? &
+
+  element xsdata {
+    (element name { xsd:string { maxLength = "15" } } |
+      attribute name { xsd:string { maxLength = "15" } }) &
+    (element alias { xsd:string { maxLength = "15" } } |
+      attribute alias { xsd:string { maxLength = "15" } })? &
+    (element kT { xsd:double } | attribute kT { xsd:double })? &
+    (element fissionable { ( "true" | "false" ) } |
+      attribute fissionable { ( "true" | "false" ) }) &
+    (element representation { ( "isotropic" | "angle" ) } |
+      attribute representation { ( "isotropic" | "angle" ) })? &
+    (element num_azimuthal { xsd:positiveInteger } |
+      attribute num_azimuthal { xsd:positiveInteger })? &
+    (element num_polar { xsd:positiveInteger } |
+      attribute num_polar { xsd:positiveInteger })? &
+    (element scatt_type { ( "legendre" | "histogram" | "tabular" ) } |
+      attribute scatt_type { ( "legendre" | "histogram" | "tabular" ) })? &
+    (element order { xsd:positiveInteger } |
+      attribute order { xsd:positiveInteger }) &
+    element tabular_legendre {
+      (element enable { ( "true" | "false" ) } |
+       attribute enable { ( "true" | "false" ) })? &
+      (element num_points { xsd:positiveInteger } |
+        attribute num_points { xsd:positiveInteger })?
+    }? &
+
+    (element total { list { xsd:double+ } } |
+      attribute total { list { xsd:double+ } })? &
+
+    (element absorption { list { xsd:double+ } } |
+      attribute absorption { list { xsd:double+ } }) &
+
+    (element scatter { list { xsd:double+ } } |
+      attribute scatter { list { xsd:double+ } }) &
+
+    (element fission { list { xsd:double+ } } |
+      attribute fission { list { xsd:double+ } })? &
+
+    (element fission { list { xsd:double+ } } |
+      attribute fission { list { xsd:double+ } })? &
+
+    (element k_fission { list { xsd:double+ } } |
+      attribute k_fission { list { xsd:double+ } })? &
+
+    (element chi { list { xsd:double+ } } |
+      attribute chi { list { xsd:double+ } })? &
+
+    (element nu_fission { list { xsd:double+ } } |
+      attribute nu_fission { list { xsd:double+ } })?
+
+  }*
+
+
+}
\ No newline at end of file
diff --git a/src/relaxng/mg_cross_sections.rng b/src/relaxng/mg_cross_sections.rng
new file mode 100644
index 0000000000..b293cddbe4
--- /dev/null
+++ b/src/relaxng/mg_cross_sections.rng
@@ -0,0 +1,314 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<element name="cross_sections" xmlns="http://relaxng.org/ns/structure/1.0" datatypeLibrary="http://www.w3.org/2001/XMLSchema-datatypes">
+  <interleave>
+    <element name="groups">
+      <data type="int"/>
+    </element>
+    <element name="group_structure">
+      <list>
+        <oneOrMore>
+          <data type="double"/>
+        </oneOrMore>
+      </list>
+    </element>
+    <optional>
+      <element name="inverse_velocities">
+        <list>
+          <oneOrMore>
+            <data type="double"/>
+          </oneOrMore>
+        </list>
+      </element>
+    </optional>
+    <zeroOrMore>
+      <element name="xsdata">
+        <interleave>
+          <choice>
+            <element name="name">
+              <data type="string">
+                <param name="maxLength">15</param>
+              </data>
+            </element>
+            <attribute name="name">
+              <data type="string">
+                <param name="maxLength">15</param>
+              </data>
+            </attribute>
+          </choice>
+          <optional>
+            <choice>
+              <element name="alias">
+                <data type="string">
+                  <param name="maxLength">15</param>
+                </data>
+              </element>
+              <attribute name="alias">
+                <data type="string">
+                  <param name="maxLength">15</param>
+                </data>
+              </attribute>
+            </choice>
+          </optional>
+          <optional>
+            <choice>
+              <element name="kT">
+                <data type="double"/>
+              </element>
+              <attribute name="kT">
+                <data type="double"/>
+              </attribute>
+            </choice>
+          </optional>
+          <choice>
+            <element name="fissionable">
+              <choice>
+                <value>true</value>
+                <value>false</value>
+              </choice>
+            </element>
+            <attribute name="fissionable">
+              <choice>
+                <value>true</value>
+                <value>false</value>
+              </choice>
+            </attribute>
+          </choice>
+          <optional>
+            <choice>
+              <element name="representation">
+                <choice>
+                  <value>isotropic</value>
+                  <value>angle</value>
+                </choice>
+              </element>
+              <attribute name="representation">
+                <choice>
+                  <value>isotropic</value>
+                  <value>angle</value>
+                </choice>
+              </attribute>
+            </choice>
+          </optional>
+          <optional>
+            <choice>
+              <element name="num_azimuthal">
+                <data type="positiveInteger"/>
+              </element>
+              <attribute name="num_azimuthal">
+                <data type="positiveInteger"/>
+              </attribute>
+            </choice>
+          </optional>
+          <optional>
+            <choice>
+              <element name="num_polar">
+                <data type="positiveInteger"/>
+              </element>
+              <attribute name="num_polar">
+                <data type="positiveInteger"/>
+              </attribute>
+            </choice>
+          </optional>
+          <optional>
+            <choice>
+              <element name="scatt_type">
+                <choice>
+                  <value>legendre</value>
+                  <value>histogram</value>
+                  <value>tabular</value>
+                </choice>
+              </element>
+              <attribute name="scatt_type">
+                <choice>
+                  <value>legendre</value>
+                  <value>histogram</value>
+                  <value>tabular</value>
+                </choice>
+              </attribute>
+            </choice>
+          </optional>
+          <choice>
+            <element name="order">
+              <data type="positiveInteger"/>
+            </element>
+            <attribute name="order">
+              <data type="positiveInteger"/>
+            </attribute>
+          </choice>
+          <optional>
+            <element name="tabular_legendre">
+              <interleave>
+                <optional>
+                  <choice>
+                    <element name="enable">
+                      <choice>
+                        <value>true</value>
+                        <value>false</value>
+                      </choice>
+                    </element>
+                    <attribute name="enable">
+                      <choice>
+                        <value>true</value>
+                        <value>false</value>
+                      </choice>
+                    </attribute>
+                  </choice>
+                </optional>
+                <optional>
+                  <choice>
+                    <element name="num_points">
+                      <data type="positiveInteger"/>
+                    </element>
+                    <attribute name="num_points">
+                      <data type="positiveInteger"/>
+                    </attribute>
+                  </choice>
+                </optional>
+              </interleave>
+            </element>
+          </optional>
+          <optional>
+            <choice>
+              <element name="total">
+                <list>
+                  <oneOrMore>
+                    <data type="double"/>
+                  </oneOrMore>
+                </list>
+              </element>
+              <attribute name="total">
+                <list>
+                  <oneOrMore>
+                    <data type="double"/>
+                  </oneOrMore>
+                </list>
+              </attribute>
+            </choice>
+          </optional>
+          <choice>
+            <element name="absorption">
+              <list>
+                <oneOrMore>
+                  <data type="double"/>
+                </oneOrMore>
+              </list>
+            </element>
+            <attribute name="absorption">
+              <list>
+                <oneOrMore>
+                  <data type="double"/>
+                </oneOrMore>
+              </list>
+            </attribute>
+          </choice>
+          <choice>
+            <element name="scatter">
+              <list>
+                <oneOrMore>
+                  <data type="double"/>
+                </oneOrMore>
+              </list>
+            </element>
+            <attribute name="scatter">
+              <list>
+                <oneOrMore>
+                  <data type="double"/>
+                </oneOrMore>
+              </list>
+            </attribute>
+          </choice>
+          <optional>
+            <choice>
+              <element name="fission">
+                <list>
+                  <oneOrMore>
+                    <data type="double"/>
+                  </oneOrMore>
+                </list>
+              </element>
+              <attribute name="fission">
+                <list>
+                  <oneOrMore>
+                    <data type="double"/>
+                  </oneOrMore>
+                </list>
+              </attribute>
+            </choice>
+          </optional>
+          <optional>
+            <choice>
+              <element name="fission">
+                <list>
+                  <oneOrMore>
+                    <data type="double"/>
+                  </oneOrMore>
+                </list>
+              </element>
+              <attribute name="fission">
+                <list>
+                  <oneOrMore>
+                    <data type="double"/>
+                  </oneOrMore>
+                </list>
+              </attribute>
+            </choice>
+          </optional>
+          <optional>
+            <choice>
+              <element name="k_fission">
+                <list>
+                  <oneOrMore>
+                    <data type="double"/>
+                  </oneOrMore>
+                </list>
+              </element>
+              <attribute name="k_fission">
+                <list>
+                  <oneOrMore>
+                    <data type="double"/>
+                  </oneOrMore>
+                </list>
+              </attribute>
+            </choice>
+          </optional>
+          <optional>
+            <choice>
+              <element name="chi">
+                <list>
+                  <oneOrMore>
+                    <data type="double"/>
+                  </oneOrMore>
+                </list>
+              </element>
+              <attribute name="chi">
+                <list>
+                  <oneOrMore>
+                    <data type="double"/>
+                  </oneOrMore>
+                </list>
+              </attribute>
+            </choice>
+          </optional>
+          <optional>
+            <choice>
+              <element name="nu_fission">
+                <list>
+                  <oneOrMore>
+                    <data type="double"/>
+                  </oneOrMore>
+                </list>
+              </element>
+              <attribute name="nu_fission">
+                <list>
+                  <oneOrMore>
+                    <data type="double"/>
+                  </oneOrMore>
+                </list>
+              </attribute>
+            </choice>
+          </optional>
+        </interleave>
+      </element>
+    </zeroOrMore>
+  </interleave>
+</element>
diff --git a/src/relaxng/settings.rnc b/src/relaxng/settings.rnc
index a95b1f297e..46950c63fb 100644
--- a/src/relaxng/settings.rnc
+++ b/src/relaxng/settings.rnc
@@ -27,6 +27,8 @@ element settings {
 
   element cross_sections { xsd:string { maxLength = "255" } }? &
 
+  element multipole_library { xsd:string { maxLength = "255" } }? &
+
   element cutoff {
     (element weight { xsd:double } | attribute weight { xsd:double })? &
     (element weight_avg { xsd:double } | attribute weight_avg { xsd:double })?
@@ -34,6 +36,8 @@ element settings {
 
   element energy_grid { ( "nuclide" | "log" | "logarithm" | "logarithmic" | "material-union" | "union" ) }? &
 
+  element energy_mode { ( "continuous-energy" | "ce" | "CE" | "multi-group" | "mg" | "MG" ) }? &
+
   element entropy {
     (element dimension { list { xsd:int+ } } |
       attribute dimension { list { xsd:int+ } })? &
@@ -45,6 +49,8 @@ element settings {
 
   element log_grid_bins { xsd:positiveInteger }? &
 
+  element max_order { xsd:nonNegativeInteger }? &
+
   element natural_elements { xsd:string { maxLength = "20" } }? &
 
   element no_reduce { xsd:boolean }? &
@@ -65,36 +71,36 @@ element settings {
   element seed { xsd:positiveInteger }? &
 
   element source {
-    element file { xsd:string { maxLength = "255" } }? &
-    element space {
-      (element type { xsd:string { maxLength = "16" } } |
-        attribute type { xsd:string { maxLength = "16" } }) &
-      (element length { xsd:int } | attribute length { xsd:int })? &
-      (element interpolation { xsd:string { maxLength = "10" } } |
-        attribute interplation { xsd:string { maxLength = "10" } })? &
-      (element parameters { list { xsd:double+ } } |
-        attribute parameters { list { xsd:double+ } })?
-    }? &
-    element angle {
-      (element type { xsd:string { maxLength = "16" } } |
-        attribute type { xsd:string { maxLength = "16" } }) &
-      (element length { xsd:int } | attribute length { xsd:int })? &
-      (element interpolation { xsd:string { maxLength = "10" } } |
-        attribute interplation { xsd:string { maxLength = "10" } })? &
-      (element parameters { list { xsd:double+ } } |
-        attribute parameters { list { xsd:double+ } })?
-    }? &
-    element energy {
-      (element type { xsd:string { maxLength = "16" } } |
-        attribute type { xsd:string { maxLength = "16" } }) &
-      (element length { xsd:int } | attribute length { xsd:int })? &
-      (element interpolation { xsd:string { maxLength = "10" } } |
-        attribute interplation { xsd:string { maxLength = "10" } })? &
-      (element parameters { list { xsd:double+ } } |
-        attribute parameters { list { xsd:double+ } })?
-    }? &
-    (element write_initial { xsd:boolean } | attribute write_initial { xsd:boolean })?
-  }? &
+    grammar {
+      start =
+        (element strength { xsd:double } | attribute strength { xsd:double })? &
+        (element file { xsd:string } | attribute file { xsd:string })? &
+        element space {
+          (element type { xsd:string } | attribute type { xsd:string }) &
+          (element parameters { list { xsd:double+ } } |
+            attribute parameters { list { xsd:double+ } })? &
+          element x { distribution }? &
+          element y { distribution }? &
+          element z { distribution }?
+        }? &
+        element angle {
+          (element type { xsd:string } | attribute type { xsd:string }) &
+          (element reference_uvw { list { xsd:double, xsd:double, xsd:double } } |
+            attribute reference_uvw { list { xsd:double, xsd:double, xsd:double } })? &
+          element mu { distribution }? &
+          element phi { distribution }?
+        }? &
+        element energy { distribution }? &
+        (element write_initial { xsd:boolean } | attribute write_initial { xsd:boolean })?
+      distribution =
+        (element type { xsd:string { maxLength = "16" } } |
+          attribute type { xsd:string { maxLength = "16" } }) &
+        (element interpolation { xsd:string } |
+          attribute interpolation { xsd:string })? &
+        (element parameters { list { xsd:double+ } } |
+          attribute parameters { list { xsd:double+ } })?
+    }
+  }* &
 
   element state_point {
     (
@@ -160,5 +166,7 @@ element settings {
       (element E_max { xsd:double } |
         attribute E_max { xsd:double })?
     }*
-  }?
+  }? &
+
+  element use_windowed_multipole { xsd:boolean }?
 }
diff --git a/src/relaxng/settings.rng b/src/relaxng/settings.rng
index 8dd1a6febc..0b50f79699 100644
--- a/src/relaxng/settings.rng
+++ b/src/relaxng/settings.rng
@@ -95,6 +95,13 @@
         </data>
       </element>
     </optional>
+    <optional>
+      <element name="multipole_library">
+        <data type="string">
+          <param name="maxLength">255</param>
+        </data>
+      </element>
+    </optional>
     <optional>
       <element name="cutoff">
         <interleave>
@@ -133,6 +140,18 @@
         </choice>
       </element>
     </optional>
+    <optional>
+      <element name="energy_mode">
+        <choice>
+          <value>continuous-energy</value>
+          <value>ce</value>
+          <value>CE</value>
+          <value>multi-group</value>
+          <value>mg</value>
+          <value>MG</value>
+        </choice>
+      </element>
+    </optional>
     <optional>
       <element name="entropy">
         <interleave>
@@ -194,6 +213,11 @@
         <data type="positiveInteger"/>
       </element>
     </optional>
+    <optional>
+      <element name="max_order">
+        <data type="nonNegativeInteger"/>
+      </element>
+    </optional>
     <optional>
       <element name="natural_elements">
         <data type="string">
@@ -264,209 +288,184 @@
         <data type="positiveInteger"/>
       </element>
     </optional>
-    <optional>
+    <zeroOrMore>
       <element name="source">
-        <interleave>
-          <optional>
-            <element name="file">
-              <data type="string">
-                <param name="maxLength">255</param>
-              </data>
-            </element>
-          </optional>
-          <optional>
-            <element name="space">
-              <interleave>
+        <grammar>
+          <start>
+            <interleave>
+              <optional>
                 <choice>
-                  <element name="type">
-                    <data type="string">
-                      <param name="maxLength">16</param>
-                    </data>
+                  <element name="strength">
+                    <data type="double"/>
                   </element>
-                  <attribute name="type">
-                    <data type="string">
-                      <param name="maxLength">16</param>
-                    </data>
+                  <attribute name="strength">
+                    <data type="double"/>
                   </attribute>
                 </choice>
-                <optional>
-                  <choice>
-                    <element name="length">
-                      <data type="int"/>
-                    </element>
-                    <attribute name="length">
-                      <data type="int"/>
-                    </attribute>
-                  </choice>
-                </optional>
-                <optional>
-                  <choice>
-                    <element name="interpolation">
-                      <data type="string">
-                        <param name="maxLength">10</param>
-                      </data>
-                    </element>
-                    <attribute name="interplation">
-                      <data type="string">
-                        <param name="maxLength">10</param>
-                      </data>
-                    </attribute>
-                  </choice>
-                </optional>
-                <optional>
-                  <choice>
-                    <element name="parameters">
-                      <list>
-                        <oneOrMore>
-                          <data type="double"/>
-                        </oneOrMore>
-                      </list>
-                    </element>
-                    <attribute name="parameters">
-                      <list>
-                        <oneOrMore>
-                          <data type="double"/>
-                        </oneOrMore>
-                      </list>
-                    </attribute>
-                  </choice>
-                </optional>
-              </interleave>
-            </element>
-          </optional>
-          <optional>
-            <element name="angle">
-              <interleave>
+              </optional>
+              <optional>
                 <choice>
-                  <element name="type">
-                    <data type="string">
-                      <param name="maxLength">16</param>
-                    </data>
+                  <element name="file">
+                    <data type="string"/>
                   </element>
-                  <attribute name="type">
-                    <data type="string">
-                      <param name="maxLength">16</param>
-                    </data>
+                  <attribute name="file">
+                    <data type="string"/>
                   </attribute>
                 </choice>
-                <optional>
-                  <choice>
-                    <element name="length">
-                      <data type="int"/>
-                    </element>
-                    <attribute name="length">
-                      <data type="int"/>
-                    </attribute>
-                  </choice>
-                </optional>
-                <optional>
-                  <choice>
-                    <element name="interpolation">
-                      <data type="string">
-                        <param name="maxLength">10</param>
-                      </data>
-                    </element>
-                    <attribute name="interplation">
-                      <data type="string">
-                        <param name="maxLength">10</param>
-                      </data>
-                    </attribute>
-                  </choice>
-                </optional>
-                <optional>
-                  <choice>
-                    <element name="parameters">
-                      <list>
-                        <oneOrMore>
-                          <data type="double"/>
-                        </oneOrMore>
-                      </list>
-                    </element>
-                    <attribute name="parameters">
-                      <list>
-                        <oneOrMore>
-                          <data type="double"/>
-                        </oneOrMore>
-                      </list>
-                    </attribute>
-                  </choice>
-                </optional>
-              </interleave>
-            </element>
-          </optional>
-          <optional>
-            <element name="energy">
-              <interleave>
+              </optional>
+              <optional>
+                <element name="space">
+                  <interleave>
+                    <choice>
+                      <element name="type">
+                        <data type="string"/>
+                      </element>
+                      <attribute name="type">
+                        <data type="string"/>
+                      </attribute>
+                    </choice>
+                    <optional>
+                      <choice>
+                        <element name="parameters">
+                          <list>
+                            <oneOrMore>
+                              <data type="double"/>
+                            </oneOrMore>
+                          </list>
+                        </element>
+                        <attribute name="parameters">
+                          <list>
+                            <oneOrMore>
+                              <data type="double"/>
+                            </oneOrMore>
+                          </list>
+                        </attribute>
+                      </choice>
+                    </optional>
+                    <optional>
+                      <element name="x">
+                        <ref name="distribution"/>
+                      </element>
+                    </optional>
+                    <optional>
+                      <element name="y">
+                        <ref name="distribution"/>
+                      </element>
+                    </optional>
+                    <optional>
+                      <element name="z">
+                        <ref name="distribution"/>
+                      </element>
+                    </optional>
+                  </interleave>
+                </element>
+              </optional>
+              <optional>
+                <element name="angle">
+                  <interleave>
+                    <choice>
+                      <element name="type">
+                        <data type="string"/>
+                      </element>
+                      <attribute name="type">
+                        <data type="string"/>
+                      </attribute>
+                    </choice>
+                    <optional>
+                      <choice>
+                        <element name="reference_uvw">
+                          <list>
+                            <data type="double"/>
+                            <data type="double"/>
+                            <data type="double"/>
+                          </list>
+                        </element>
+                        <attribute name="reference_uvw">
+                          <list>
+                            <data type="double"/>
+                            <data type="double"/>
+                            <data type="double"/>
+                          </list>
+                        </attribute>
+                      </choice>
+                    </optional>
+                    <optional>
+                      <element name="mu">
+                        <ref name="distribution"/>
+                      </element>
+                    </optional>
+                    <optional>
+                      <element name="phi">
+                        <ref name="distribution"/>
+                      </element>
+                    </optional>
+                  </interleave>
+                </element>
+              </optional>
+              <optional>
+                <element name="energy">
+                  <ref name="distribution"/>
+                </element>
+              </optional>
+              <optional>
                 <choice>
-                  <element name="type">
-                    <data type="string">
-                      <param name="maxLength">16</param>
-                    </data>
+                  <element name="write_initial">
+                    <data type="boolean"/>
                   </element>
-                  <attribute name="type">
-                    <data type="string">
-                      <param name="maxLength">16</param>
-                    </data>
+                  <attribute name="write_initial">
+                    <data type="boolean"/>
                   </attribute>
                 </choice>
-                <optional>
-                  <choice>
-                    <element name="length">
-                      <data type="int"/>
-                    </element>
-                    <attribute name="length">
-                      <data type="int"/>
-                    </attribute>
-                  </choice>
-                </optional>
-                <optional>
-                  <choice>
-                    <element name="interpolation">
-                      <data type="string">
-                        <param name="maxLength">10</param>
-                      </data>
-                    </element>
-                    <attribute name="interplation">
-                      <data type="string">
-                        <param name="maxLength">10</param>
-                      </data>
-                    </attribute>
-                  </choice>
-                </optional>
-                <optional>
-                  <choice>
-                    <element name="parameters">
-                      <list>
-                        <oneOrMore>
-                          <data type="double"/>
-                        </oneOrMore>
-                      </list>
-                    </element>
-                    <attribute name="parameters">
-                      <list>
-                        <oneOrMore>
-                          <data type="double"/>
-                        </oneOrMore>
-                      </list>
-                    </attribute>
-                  </choice>
-                </optional>
-              </interleave>
-            </element>
-          </optional>
-          <optional>
-            <choice>
-              <element name="write_initial">
-                <data type="boolean"/>
-              </element>
-              <attribute name="write_initial">
-                <data type="boolean"/>
-              </attribute>
-            </choice>
-          </optional>
-        </interleave>
+              </optional>
+            </interleave>
+          </start>
+          <define name="distribution">
+            <interleave>
+              <choice>
+                <element name="type">
+                  <data type="string">
+                    <param name="maxLength">16</param>
+                  </data>
+                </element>
+                <attribute name="type">
+                  <data type="string">
+                    <param name="maxLength">16</param>
+                  </data>
+                </attribute>
+              </choice>
+              <optional>
+                <choice>
+                  <element name="interpolation">
+                    <data type="string"/>
+                  </element>
+                  <attribute name="interpolation">
+                    <data type="string"/>
+                  </attribute>
+                </choice>
+              </optional>
+              <optional>
+                <choice>
+                  <element name="parameters">
+                    <list>
+                      <oneOrMore>
+                        <data type="double"/>
+                      </oneOrMore>
+                    </list>
+                  </element>
+                  <attribute name="parameters">
+                    <list>
+                      <oneOrMore>
+                        <data type="double"/>
+                      </oneOrMore>
+                    </list>
+                  </attribute>
+                </choice>
+              </optional>
+            </interleave>
+          </define>
+        </grammar>
       </element>
-    </optional>
+    </zeroOrMore>
     <optional>
       <element name="state_point">
         <choice>
@@ -756,5 +755,10 @@
         </zeroOrMore>
       </element>
     </optional>
+    <optional>
+      <element name="use_windowed_multipole">
+        <data type="boolean"/>
+      </element>
+    </optional>
   </interleave>
 </element>
diff --git a/src/relaxng/tallies.rnc b/src/relaxng/tallies.rnc
index 75afb0f231..cc327f8048 100644
--- a/src/relaxng/tallies.rnc
+++ b/src/relaxng/tallies.rnc
@@ -19,8 +19,8 @@ element tallies {
     (element id { xsd:int } | attribute id { xsd:int }) &
     (element name { xsd:string { maxLength="52" } } |
       attribute name { xsd:string { maxLength="52" } })? &
-    (element estimator { ( "analog" | "tracklength" ) } |
-      attribute estimator { ( "analog" | "tracklength" ) })? &
+    (element estimator { ( "analog" | "tracklength" | "collision" ) } |
+      attribute estimator { ( "analog" | "tracklength" | "collision" ) })? &
     element filter {
       (element type { ( "cell" | "cellborn" | "material" | "universe" |
         "surface" | "distribcell" | "mesh" | "energy" | "energyout" | "mu" |
@@ -41,7 +41,7 @@ element tallies {
       (element type { xsd:string } | attribute type { xsd:string }) &
       (element threshold { xsd:double} | attribute threshold { xsd:double }) &
       (element scores { list { xsd:string { maxLength = "20" }+ } } | attribute scores { list { xsd:string { maxLength = "20"}+ } } )?
-    }?
+    }*
   }* &
 
   element assume_separate { xsd:boolean }?
diff --git a/src/relaxng/tallies.rng b/src/relaxng/tallies.rng
index d35c170042..755e9e90dc 100644
--- a/src/relaxng/tallies.rng
+++ b/src/relaxng/tallies.rng
@@ -120,12 +120,14 @@
                 <choice>
                   <value>analog</value>
                   <value>tracklength</value>
+                  <value>collision</value>
                 </choice>
               </element>
               <attribute name="estimator">
                 <choice>
                   <value>analog</value>
                   <value>tracklength</value>
+                  <value>collision</value>
                 </choice>
               </attribute>
             </choice>
@@ -145,10 +147,10 @@
                       <value>mesh</value>
                       <value>energy</value>
                       <value>energyout</value>
-                      <value>delayedgroup</value>
                       <value>mu</value>
                       <value>polar</value>
                       <value>azimuthal</value>
+                      <value>delayedgroup</value>
                     </choice>
                   </element>
                   <attribute name="type">
@@ -162,10 +164,10 @@
                       <value>mesh</value>
                       <value>energy</value>
                       <value>energyout</value>
-                      <value>delayedgroup</value>
                       <value>mu</value>
                       <value>polar</value>
                       <value>azimuthal</value>
+                      <value>delayedgroup</value>
                     </choice>
                   </attribute>
                 </choice>
@@ -208,7 +210,7 @@
               </oneOrMore>
             </list>
           </element>
-          <optional>
+          <zeroOrMore>
             <element name="trigger">
               <interleave>
                 <choice>
@@ -251,7 +253,7 @@
                 </optional>
               </interleave>
             </element>
-          </optional>
+          </zeroOrMore>
         </interleave>
       </element>
     </zeroOrMore>
diff --git a/src/sab_header.F90 b/src/sab_header.F90
new file mode 100644
index 0000000000..695f735c05
--- /dev/null
+++ b/src/sab_header.F90
@@ -0,0 +1,150 @@
+module sab_header
+
+  use, intrinsic :: ISO_FORTRAN_ENV
+
+  use constants
+  use string, only: to_str
+
+  implicit none
+
+!===============================================================================
+! DISTENERGYSAB contains the secondary energy/angle distributions for inelastic
+! thermal scattering collisions which utilize a continuous secondary energy
+! representation.
+!===============================================================================
+
+  type DistEnergySab
+    integer              :: n_e_out
+    real(8), allocatable :: e_out(:)
+    real(8), allocatable :: e_out_pdf(:)
+    real(8), allocatable :: e_out_cdf(:)
+    real(8), allocatable :: mu(:,:)
+  end type DistEnergySab
+
+!===============================================================================
+! SALPHABETA contains S(a,b) data for thermal neutron scattering, typically off
+! of light isotopes such as water, graphite, Be, etc
+!===============================================================================
+
+  type SAlphaBeta
+    character(10) :: name     ! name of table, e.g. lwtr.10t
+    real(8)       :: awr      ! weight of nucleus in neutron masses
+    real(8)       :: kT       ! temperature in MeV (k*T)
+    integer       :: n_zaid   ! Number of valid zaids
+    integer, allocatable :: zaid(:) ! List of valid Z and A identifiers, e.g. 6012
+
+    ! threshold for S(a,b) treatment (usually ~4 eV)
+    real(8) :: threshold_inelastic
+    real(8) :: threshold_elastic = ZERO
+
+    ! Inelastic scattering data
+    integer :: n_inelastic_e_in  ! # of incoming E for inelastic
+    integer :: n_inelastic_e_out ! # of outgoing E for inelastic
+    integer :: n_inelastic_mu    ! # of outgoing angles for inelastic
+    integer :: secondary_mode    ! secondary mode (equal/skewed/continuous)
+    real(8), allocatable :: inelastic_e_in(:)
+    real(8), allocatable :: inelastic_sigma(:)
+    ! The following are used only if secondary_mode is 0 or 1
+    real(8), allocatable :: inelastic_e_out(:,:)
+    real(8), allocatable :: inelastic_mu(:,:,:)
+    ! The following is used only if secondary_mode is 3
+    ! The different implementation is necessary because the continuous
+    ! representation has a variable number of outgoing energy points for each
+    ! incoming energy
+    type(DistEnergySab), allocatable :: inelastic_data(:) ! One for each Ein
+
+    ! Elastic scattering data
+    integer :: elastic_mode   ! elastic mode (discrete/exact)
+    integer :: n_elastic_e_in ! # of incoming E for elastic
+    integer :: n_elastic_mu   ! # of outgoing angles for elastic
+    real(8), allocatable :: elastic_e_in(:)
+    real(8), allocatable :: elastic_P(:)
+    real(8), allocatable :: elastic_mu(:,:)
+  contains
+      procedure :: print => print_sab_table
+  end type SAlphaBeta
+
+  contains
+
+!===============================================================================
+! PRINT_SAB_TABLE displays information about a S(a,b) table containing data
+! describing thermal scattering from bound materials such as hydrogen in water.
+!===============================================================================
+
+    subroutine print_sab_table(this, unit)
+      class(SAlphaBeta), intent(in)  :: this
+      integer, intent(in), optional :: unit
+
+      integer :: size_sab   ! memory used by S(a,b) table
+      integer :: unit_      ! unit to write to
+      integer :: i          ! Loop counter for parsing through this % zaid
+      integer :: char_count ! Counter for the number of characters on a line
+
+      ! set default unit for writing information
+      if (present(unit)) then
+        unit_ = unit
+      else
+        unit_ = OUTPUT_UNIT
+      end if
+
+      ! Basic S(a,b) table information
+      write(unit_,*) 'S(a,b) Table ' // trim(this % name)
+      write(unit_,'(A)',advance="no") '   zaids = '
+      ! Initialize the counter based on the above string
+      char_count = 11
+      do i = 1, this % n_zaid
+        ! Deal with a line thats too long
+        if (char_count >= 73) then  ! 73 = 80 - (5 ZAID chars + 1 space + 1 comma)
+          ! End the line
+          write(unit_,*) ""
+          ! Add 11 leading blanks
+          write(unit_,'(A)', advance="no") "           "
+          ! reset the counter to 11
+          char_count = 11
+        end if
+        if (i < this % n_zaid) then
+          ! Include a comma
+          write(unit_,'(A)',advance="no") trim(to_str(this % zaid(i))) // ", "
+          char_count = char_count + len(trim(to_str(this % zaid(i)))) + 2
+        else
+          ! Don't include a comma, since we are all done
+          write(unit_,'(A)',advance="no") trim(to_str(this % zaid(i)))
+        end if
+
+      end do
+      write(unit_,*) "" ! Move to next line
+      write(unit_,*) '  awr = ' // trim(to_str(this % awr))
+      write(unit_,*) '  kT = ' // trim(to_str(this % kT))
+
+      ! Inelastic data
+      write(unit_,*) '  # of Incoming Energies (Inelastic) = ' // &
+           trim(to_str(this % n_inelastic_e_in))
+      write(unit_,*) '  # of Outgoing Energies (Inelastic) = ' // &
+           trim(to_str(this % n_inelastic_e_out))
+      write(unit_,*) '  # of Outgoing Angles (Inelastic) = ' // &
+           trim(to_str(this % n_inelastic_mu))
+      write(unit_,*) '  Threshold for Inelastic = ' // &
+           trim(to_str(this % threshold_inelastic))
+
+      ! Elastic data
+      if (this % n_elastic_e_in > 0) then
+        write(unit_,*) '  # of Incoming Energies (Elastic) = ' // &
+             trim(to_str(this % n_elastic_e_in))
+        write(unit_,*) '  # of Outgoing Angles (Elastic) = ' // &
+             trim(to_str(this % n_elastic_mu))
+        write(unit_,*) '  Threshold for Elastic = ' // &
+             trim(to_str(this % threshold_elastic))
+      end if
+
+      ! Determine memory used by S(a,b) table and write out
+      size_sab = 8 * (this % n_inelastic_e_in * (2 + this % n_inelastic_e_out * &
+           (1 + this % n_inelastic_mu)) + this % n_elastic_e_in * &
+           (2 + this % n_elastic_mu))
+      write(unit_,*) '  Memory Used = ' // trim(to_str(size_sab)) // ' bytes'
+
+      ! Blank line at end
+      write(unit_,*)
+
+    end subroutine print_sab_table
+
+end module sab_header
diff --git a/src/scattdata_header.F90 b/src/scattdata_header.F90
new file mode 100644
index 0000000000..2066b36b92
--- /dev/null
+++ b/src/scattdata_header.F90
@@ -0,0 +1,716 @@
+module scattdata_header
+
+  use constants
+  use error,      only: fatal_error
+  use math
+  use random_lcg, only: prn
+  use search,     only: binary_search
+
+  implicit none
+
+
+!===============================================================================
+! JAGGED1D and JAGGED2D is a type which allows for jagged 1-D or 2-D array.
+!===============================================================================
+
+  type :: Jagged2D
+    real(8), allocatable :: data(:, :)
+  end type Jagged2D
+
+  type :: Jagged1D
+    real(8), allocatable :: data(:)
+  end type Jagged1D
+
+!===============================================================================
+! SCATTDATA contains all the data to describe the scattering energy and
+! angular distribution
+!===============================================================================
+
+  type, abstract :: ScattData
+    ! The data attribute of the energy, mult, and dist arrays
+    ! are not necessarily 1-indexed as they instead will be allocated
+    ! from a minimum outgoing group to an outgoing minimum group.
+    ! Normalized p0 matrix on its own for sampling energy
+    type(Jagged1D), allocatable :: energy(:) ! (Gin % data(Gout))
+    ! Nu-scatter multiplication (i.e. nu-scatt/scatt)
+    type(Jagged1D), allocatable :: mult(:)   ! (Gin % data(Gout))
+    ! Angular distribution
+    type(Jagged2D), allocatable :: dist(:)   ! (Gin % data(Order/Nmu, Gout)
+    integer, allocatable :: gmin(:)     ! Minimum outgoing group
+    integer, allocatable :: gmax(:)     ! Maximum outgoing group
+    real(8), allocatable :: scattxs(:)  ! Isotropic Sigma_{s,g_{in}}
+
+  contains
+    procedure(scattdata_init_), deferred   :: init   ! Initializes ScattData
+    procedure(scattdata_calc_f_), deferred :: calc_f ! Calculates f, given mu
+    procedure(scattdata_sample_), deferred :: sample ! sample the scatter event
+    procedure :: get_matrix => scattdata_get_matrix  ! Rebuild scattering matrix
+  end type ScattData
+
+  abstract interface
+    subroutine scattdata_init_(this, mult, coeffs)
+      import ScattData
+      class(ScattData), intent(inout) :: this            ! Object to work with
+      real(8), intent(in)             :: mult(:, :)      ! Scatter Prod'n Matrix
+      real(8), intent(in)             :: coeffs(:, :, :) ! Coefficients to use
+    end subroutine scattdata_init_
+
+    pure function scattdata_calc_f_(this, gin, gout, mu) result(f)
+      import ScattData
+      class(ScattData), intent(in) :: this ! Scattering Object to work with
+      integer, intent(in)          :: gin  ! Incoming Energy Group
+      integer, intent(in)          :: gout ! Outgoing Energy Group
+      real(8), intent(in)          :: mu   ! Angle of interest
+      real(8)                      :: f    ! Return value of f(mu)
+
+    end function scattdata_calc_f_
+
+    subroutine scattdata_sample_(this, gin, gout, mu, wgt)
+      import ScattData
+      class(ScattData), intent(in)    :: this ! Scattering Object to work with
+      integer,          intent(in)    :: gin  ! Incoming neutron group
+      integer,          intent(out)   :: gout ! Sampled outgoin group
+      real(8),          intent(out)   :: mu   ! Sampled change in angle
+      real(8),          intent(inout) :: wgt  ! Particle weight
+    end subroutine scattdata_sample_
+  end interface
+
+  type, extends(ScattData) :: ScattDataLegendre
+    ! Maximal value for rejection sampling from rectangle
+    type(Jagged1D), allocatable :: max_val(:) ! (Gin % data(Gout))
+  contains
+    procedure :: init       => scattdatalegendre_init
+    procedure :: calc_f     => scattdatalegendre_calc_f
+    procedure :: sample     => scattdatalegendre_sample
+  end type ScattDataLegendre
+
+  type, extends(ScattData)      :: ScattDataHistogram
+    real(8), allocatable        :: mu(:) ! Mu bins
+    real(8)                     :: dmu   ! Mu spacing
+    ! Histogram of f(mu) (dist has CDF)
+    type(Jagged2D), allocatable :: fmu(:) ! (Gin % data(Order/Nmu x Gout)
+  contains
+    procedure :: init       => scattdatahistogram_init
+    procedure :: calc_f     => scattdatahistogram_calc_f
+    procedure :: sample     => scattdatahistogram_sample
+    procedure :: get_matrix => scattdatahistogram_get_matrix
+  end type ScattDataHistogram
+
+  type, extends(ScattData)      :: ScattDataTabular
+    real(8), allocatable        :: mu(:)       ! Mu bins
+    real(8)                     :: dmu         ! Mu spacing
+    ! PDF of f(mu) (dist has CDF)
+    type(Jagged2D), allocatable :: fmu(:) ! (Gin % data(Order/Nmu x Gout)
+  contains
+    procedure :: init       => scattdatatabular_init
+    procedure :: calc_f     => scattdatatabular_calc_f
+    procedure :: sample     => scattdatatabular_sample
+    procedure :: get_matrix => scattdatatabular_get_matrix
+  end type ScattDataTabular
+
+!===============================================================================
+! SCATTDATACONTAINER allocatable array for storing ScattData Objects (for angle)
+!===============================================================================
+
+  type ScattDataContainer
+    class(ScattData), allocatable :: obj
+  end type ScattDataContainer
+
+contains
+
+!===============================================================================
+! SCATTDATA*_INIT builds the scattdata object
+!===============================================================================
+
+    subroutine scattdata_init(this, order, energy, mult)
+      class(ScattData), intent(inout) :: this         ! Object to work on
+      integer, intent(in)             :: order        ! Data Order
+      real(8), intent(inout)          :: energy(:, :) ! Energy Transfer Matrix
+      real(8), intent(in)             :: mult(:, :)   ! Scatter Prod'n Matrix
+
+      integer :: groups, gmin, gmax, gin
+      real(8) :: norm
+
+      groups = size(energy, dim=1)
+
+      allocate(this % gmin(groups))
+      allocate(this % gmax(groups))
+      allocate(this % energy(groups))
+      allocate(this % mult(groups))
+      allocate(this % dist(groups))
+      ! Use energy to find the gmin and gmax values
+      ! Also set energy values when doing it
+      do gin = 1, groups
+        ! Make sure energy is normalized (i.e., CDF is 1)
+        norm = sum(energy(:, gin))
+        if (norm /= ZERO) energy(:, gin) = energy(:, gin) / norm
+        ! Find gmin by checking the P0 moment
+        do gmin = 1, groups
+          if (energy(gmin, gin) > ZERO) exit
+        end do
+        ! Find gmax by checking the P0 moment
+        do gmax = groups, 1, -1
+          if (energy(gmax, gin) > ZERO) exit
+        end do
+        ! Treat the case of all zeros
+        if (gmin > gmax) then
+          gmin = gin
+          gmax = gin
+          ! By not changing energy(gin) here we are leaving it as zero
+        end if
+        allocate(this % energy(gin) % data(gmin:gmax))
+        this % energy(gin) % data(gmin:gmax) = energy(gmin:gmax, gin)
+        allocate(this % mult(gin) % data(gmin:gmax))
+        this % mult(gin) % data(gmin:gmax) = mult(gmin:gmax, gin)
+        allocate(this % dist(gin) % data(order, gmin:gmax))
+        this % dist(gin) % data = ZERO
+        this % gmin(gin) = gmin
+        this % gmax(gin) = gmax
+      end do
+    end subroutine scattdata_init
+
+    subroutine scattdatalegendre_init(this, mult, coeffs)
+      class(ScattDataLegendre), intent(inout) :: this            ! Object to work on
+      real(8), intent(in)                     :: mult(:, :)      ! Scatter Prod'n Matrix
+      real(8), intent(in)                     :: coeffs(:, :, :) ! Coefficients to use
+
+      real(8) :: dmu, mu, f, norm
+      integer :: imu, Nmu, gout, gin, groups, order
+      real(8), allocatable :: energy(:, :)
+      real(8), allocatable :: matrix(:, :, :)
+
+      groups = size(coeffs, dim=3)
+      order = size(coeffs, dim=1)
+
+      ! make a copy of coeffs that we can use to extract data and normalize
+      allocate(matrix(order, groups, groups))
+      matrix (:, :, :)= coeffs
+
+      ! Get scattxs value
+      allocate(this % scattxs(groups))
+      ! Get this by summing the un-normalized P0 coefficient in matrix
+      ! over all outgoing groups
+      this % scattxs(:) = sum(matrix(1, :, :), dim=1)
+
+      allocate(energy(groups, groups))
+      energy(:, :) = ZERO
+      ! Build energy transfer probability matrix from data in matrix
+      ! while also normalizing matrix itself (making CDF of f(mu=1)=1)
+      do gin = 1, groups
+        do gout = 1, groups
+          norm = matrix(1, gout, gin)
+          energy(gout, gin) = norm
+          if (norm /= ZERO) then
+            matrix(:, gout, gin) = matrix(:, gout, gin) / norm
+          end if
+        end do
+      end do
+
+      call scattdata_init(this, order, energy, mult)
+
+      allocate(this % max_val(groups))
+      ! Set dist values from matrix and initialize max_val
+      do gin = 1, groups
+        do gout = this % gmin(gin), this % gmax(gin)
+          this % dist(gin) % data(:, gout) = matrix(:, gout, gin)
+        end do
+        allocate(this % max_val(gin) % data(this % gmin(gin):this % gmax(gin)))
+        this % max_val(gin) % data(:) = ZERO
+      end do
+
+      ! Step through the polynomial with fixed number of points to identify
+      ! the maximal value.
+      Nmu = 1001
+      dmu = TWO / real(Nmu - 1, 8)
+      do gin = 1, groups
+        do gout = this % gmin(gin), this % gmax(gin)
+          do imu = 1, Nmu
+            ! Update mu. Do first and last seperate to avoid float errors
+            if (imu == 1) then
+              mu = -ONE
+            else if (imu == Nmu) then
+              mu = ONE
+            else
+              mu = -ONE + real(imu - 1, 8) * dmu
+            end if
+            ! Calculate probability
+            f = this % calc_f(gin,gout,mu)
+            ! If this is a new max, store it.
+            if (f > this % max_val(gin) % data(gout)) &
+                 this % max_val(gin) % data(gout) = f
+          end do
+          ! Finally, since we may not have caught the exact max, add 10% margin
+          this % max_val(gin) % data(gout) = &
+               this % max_val(gin) % data(gout) * 1.1_8
+        end do
+      end do
+    end subroutine scattdatalegendre_init
+
+    subroutine scattdatahistogram_init(this, mult, coeffs)
+      class(ScattDataHistogram), intent(inout) :: this   ! Object to work on
+      real(8), intent(in)                      :: mult(:, :)     ! Scatter Prod'n Matrix
+      real(8), intent(in)                      :: coeffs(:, :, :) ! Coefficients to use
+
+      integer :: imu, gin, gout, groups, order
+      real(8) :: norm
+      real(8), allocatable :: energy(:, :)
+      real(8), allocatable :: matrix(:, :, :)
+
+      groups = size(coeffs, dim=3)
+      order = size(coeffs, dim=1)
+
+      ! make a copy of coeffs that we can use to extract data and normalize
+      allocate(matrix(order, groups, groups))
+      matrix(:, :, :) = coeffs
+
+      ! Get scattxs value
+      allocate(this % scattxs(groups))
+      ! Get this by summing the un-normalized P0 coefficient in matrix
+      ! over all outgoing groups
+      this % scattxs(:) = sum(sum(matrix(:, :, :), dim=1), dim=1)
+
+      allocate(energy(groups, groups))
+      energy(:, :) = ZERO
+      ! Build energy transfer probability matrix from data in matrix
+      ! while also normalizing matrix itself (making CDF of f(mu=1)=1)
+      do gin = 1, groups
+        do gout = 1, groups
+          norm = sum(matrix(:, gout, gin))
+          energy(gout, gin) = norm
+          if (norm /= ZERO) then
+            matrix(:, gout, gin) = matrix(:, gout, gin) / norm
+          end if
+        end do
+      end do
+
+      call scattdata_init(this, order, energy, mult)
+
+      allocate(this % mu(order))
+      this % dmu = TWO / real(order, 8)
+      this % mu(1) = -ONE
+      do imu = 2, order
+        this % mu(imu) = -ONE + real(imu - 1, 8) * this % dmu
+      end do
+
+      ! Integrate this histogram so we can avoid rejection sampling while
+      ! also saving the original histogram in fmu
+      allocate(this % fmu(groups))
+      do gin = 1, groups
+        allocate(this % fmu(gin) % data(order, &
+                                        this % gmin(gin):this % gmax(gin)))
+        do gout = this % gmin(gin), this % gmax(gin)
+          ! Store the histogram
+          this % fmu(gin) % data(:, gout) = matrix(:, gout, gin)
+          ! Integrate the histogram
+          this % dist(gin) % data(1, gout) = &
+               this % dmu * matrix(1, gout, gin)
+          do imu = 2, order
+            this % dist(gin) % data(imu, gout) = &
+                 this % dmu * matrix(imu, gout, gin) + &
+                 this % dist(gin) % data(imu - 1, gout)
+          end do
+
+          ! Now make sure integral norms to zero
+          norm = this % dist(gin) % data(order, gout)
+          if (norm > ZERO) then
+            this % fmu(gin) % data(:, gout) = &
+                 this % fmu(gin) % data(:, gout) / norm
+            this % dist(gin) % data(:, gout) = &
+                 this % dist(gin) % data(:, gout) / norm
+          end if
+        end do
+      end do
+
+    end subroutine scattdatahistogram_init
+
+    subroutine scattdatatabular_init(this, mult, coeffs)
+      class(ScattDataTabular), intent(inout) :: this   ! Object to work on
+      real(8), intent(in)                    :: mult(:, :)   ! Scatter Prod'n Matrix
+      real(8), intent(in)                    :: coeffs(:, :, :) ! Coefficients to use
+
+      integer :: imu, gin, gout, groups, order
+      real(8) :: norm
+      real(8), allocatable :: energy(:, :)
+      real(8), allocatable :: matrix(:, :, :)
+
+      groups = size(coeffs, dim=3)
+      order = size(coeffs, dim=1)
+
+      ! make a copy of coeffs that we can use to extract data and normalize
+      allocate(matrix(order, groups, groups))
+      matrix(:, :, :) = coeffs
+
+      ! Build the angular distribution mu values
+      allocate(this % mu(order))
+      this % dmu = TWO / real(order - 1, 8)
+      this % mu(1) = -ONE
+      do imu = 2, order - 1
+        this % mu(imu) = -ONE + real(imu - 1, 8) * this % dmu
+      end do
+      this % mu(order) = ONE
+
+      ! Get scattxs
+      allocate(this % scattxs(groups))
+      ! Get this by integrating the scattering distribution over all mu points
+      ! and then combining over all outgoing groups
+      ! over all outgoing groups
+      do gin = 1, groups
+        norm = ZERO
+        do gout = 1, groups
+          do imu = 2, order
+            norm = norm + HALF * this % dmu * (matrix(imu - 1, gout, gin) + &
+                                               matrix(imu, gout, gin))
+          end do
+        end do
+        this % scattxs(gin) = norm
+      end do
+
+      allocate(energy(groups, groups))
+      energy(:, :) = ZERO
+      ! Build energy transfer probability matrix from data in matrix
+      do gin = 1, groups
+        do gout = 1, groups
+          norm = ZERO
+          do imu = 2, order
+            norm = norm + HALF * this % dmu * &
+                 (matrix(imu - 1, gout, gin) + matrix(imu, gout, gin))
+          end do
+          energy(gout, gin) = norm
+        end do
+      end do
+      call scattdata_init(this, order, energy, mult)
+
+      ! Calculate f(mu) and integrate it so we can avoid rejection sampling
+      allocate(this % fmu(groups))
+      do gin = 1, groups
+        allocate(this % fmu(gin) % data(order, &
+                                        this % gmin(gin):this % gmax(gin)))
+        do gout = this % gmin(gin), this % gmax(gin)
+          ! Coeffs contain f(mu), put in f(mu) as that is where the
+          ! PDF lives
+          this % fmu(gin) % data(:, gout) = matrix(:, gout, gin)
+
+          ! Force positivity
+          do imu = 1, order
+            if (this % fmu(gin) % data(imu, gout) < ZERO) then
+              this % fmu(gin) % data(imu, gout) = ZERO
+            end if
+          end do
+
+          ! Re-normalize fmu for numerical integration issues and in case
+          ! the negative fix-up introduced un-normalized data while
+          ! accruing the CDF
+          norm = ZERO
+          do imu = 2, order
+            norm = norm + HALF * this % dmu * &
+                 (this % fmu(gin) % data(imu - 1, gout) + &
+                  this % fmu(gin) % data(imu, gout))
+            this % dist(gin) % data(imu, gout) = norm
+          end do
+          if (norm > ZERO) then
+            this % fmu(gin) % data(:, gout) = &
+                 this % fmu(gin) % data(:, gout) / norm
+            this % dist(gin) % data(:, gout) = &
+                 this % dist(gin) % data(:, gout) / norm
+          end if
+        end do
+      end do
+    end subroutine scattdatatabular_init
+
+!===============================================================================
+! SCATTDATA_*_CALC_F Calculates the value of f given mu (and gin,gout pair)
+!===============================================================================
+
+    pure function scattdatalegendre_calc_f(this, gin, gout, mu) result(f)
+      class(ScattDataLegendre), intent(in) :: this ! The ScattData to evaluate
+      integer, intent(in)                  :: gin  ! Incoming Energy Group
+      integer, intent(in)                  :: gout ! Outgoing Energy Group
+      real(8), intent(in)                  :: mu   ! Angle of interest
+      real(8)                              :: f    ! Return value of f(mu)
+
+      ! Plug mu in to the legendre expansion and go from there
+      if (gout < this % gmin(gin) .or. gout > this % gmax(gin)) then
+        f = ZERO
+      else
+        f = evaluate_legendre(this % dist(gin) % data(:, gout), mu)
+      end if
+
+    end function scattdatalegendre_calc_f
+
+    pure function scattdatahistogram_calc_f(this, gin, gout, mu) result(f)
+      class(ScattDataHistogram), intent(in) :: this ! The ScattData to evaluate
+      integer, intent(in)                   :: gin  ! Incoming Energy Group
+      integer, intent(in)                   :: gout ! Outgoing Energy Group
+      real(8), intent(in)                   :: mu   ! Angle of interest
+      real(8)                               :: f    ! Return value of f(mu)
+
+      integer :: imu
+
+      if (gout < this % gmin(gin) .or. gout > this % gmax(gin)) then
+        f = ZERO
+      else
+        ! Find mu bin
+        if (mu == ONE) then
+          imu = size(this % fmu(gin) % data, dim=1)
+        else
+          imu = floor((mu + ONE) / this % dmu + ONE)
+        end if
+
+        f = this % fmu(gin) % data(imu, gout)
+      end if
+
+    end function scattdatahistogram_calc_f
+
+    pure function scattdatatabular_calc_f(this, gin, gout, mu) result(f)
+      class(ScattDataTabular), intent(in) :: this ! The ScattData to evaluate
+      integer, intent(in)                 :: gin  ! Incoming Energy Group
+      integer, intent(in)                 :: gout ! Outgoing Energy Group
+      real(8), intent(in)                 :: mu   ! Angle of interest
+      real(8)                             :: f    ! Return value of f(mu)
+
+      integer :: imu
+      real(8) :: r
+
+      if (gout < this % gmin(gin) .or. gout > this % gmax(gin)) then
+        f = ZERO
+      else
+        ! Find mu bin
+        if (mu == ONE) then
+          imu = size(this % fmu(gin) % data, dim=1) - 1
+        else
+          imu = floor((mu + ONE) / this % dmu + ONE)
+        end if
+
+        ! Now interpolate to find f(mu)
+        r = (mu - this % mu(imu)) / (this % mu(imu + 1) - this % mu(imu))
+        f = (ONE - r) * this % fmu(gin) % data(imu, gout) + &
+             r * this % fmu(gin) % data(imu + 1, gout)
+      end if
+
+    end function scattdatatabular_calc_f
+
+!===============================================================================
+! SCATTDATA*_SCATTER Samples the outgoing energy and change in angle.
+!===============================================================================
+
+  subroutine scattdatalegendre_sample(this, gin, gout, mu, wgt)
+    class(ScattDataLegendre), intent(in)    :: this ! Scattering object to use
+    integer,                  intent(in)    :: gin  ! Incoming neutron group
+    integer,                  intent(out)   :: gout ! Sampled outgoin group
+    real(8),                  intent(out)   :: mu   ! Sampled change in angle
+    real(8),                  intent(inout) :: wgt  ! Particle weight
+
+    real(8) :: xi     ! Our random number
+    real(8) :: prob   ! Running probability
+    real(8) :: u, f, M
+    integer :: samples
+
+    xi = prn()
+    gout = this % gmin(gin)
+    prob = this % energy(gin) % data(gout)
+
+    do while (prob < xi)
+      gout = gout + 1
+      prob = prob + this % energy(gin) % data(gout)
+    end do
+
+    ! Now we can sample mu using the legendre representation of the scattering
+    ! kernel in data(1:this % order)
+
+    ! Do with rejection sampling from a rectangular bounding box
+    ! Set maximal value
+    M = this % max_val(gin) % data(gout)
+    samples = 0
+    do
+      mu = TWO * prn() - ONE
+      f = this % calc_f(gin, gout, mu)
+      if (f > ZERO) then
+        u = prn() * M
+        if (u <= f) then
+          exit
+        end if
+      end if
+      samples = samples + 1
+      if (samples > MAX_SAMPLE) then
+        call fatal_error("Maximum number of Legendre expansion samples reached!")
+      end if
+    end do
+
+    wgt = wgt * this % mult(gin) % data(gout)
+
+  end subroutine scattdatalegendre_sample
+
+  subroutine scattdatahistogram_sample(this, gin, gout, mu, wgt)
+    class(ScattDataHistogram), intent(in)    :: this ! Scattering object to use
+    integer,                   intent(in)    :: gin  ! Incoming neutron group
+    integer,                   intent(out)   :: gout ! Sampled outgoin group
+    real(8),                   intent(out)   :: mu   ! Sampled change in angle
+    real(8),                   intent(inout) :: wgt  ! Particle weight
+
+    real(8) :: xi     ! Our random number
+    real(8) :: prob   ! Running probability
+    integer :: imu
+
+    xi = prn()
+    gout = this % gmin(gin)
+    prob = this % energy(gin) % data(gout)
+
+    do while (prob < xi)
+      gout = gout + 1
+      prob = prob + this % energy(gin) % data(gout)
+    end do
+
+    xi = prn()
+    if (xi < this % dist(gin) % data(1, gout)) then
+      imu = 1
+    else
+      imu = binary_search(this % dist(gin) % data(:, gout), &
+                          size(this % dist(gin) % data(:, gout)), xi)
+    end if
+
+    ! Randomly select a mu in this bin.
+    mu = prn() * this % dmu + this % mu(imu)
+
+    wgt = wgt * this % mult(gin) % data(gout)
+
+  end subroutine scattdatahistogram_sample
+
+  subroutine scattdatatabular_sample(this, gin, gout, mu, wgt)
+    class(ScattDataTabular), intent(in)    :: this ! Scattering object to use
+    integer,                  intent(in)    :: gin  ! Incoming neutron group
+    integer,                  intent(out)   :: gout ! Sampled outgoin group
+    real(8),                  intent(out)   :: mu   ! Sampled change in angle
+    real(8),                  intent(inout) :: wgt  ! Particle weight
+
+    real(8) :: xi     ! Our random number
+    real(8) :: prob   ! Running probability
+    real(8) :: mu0, frac, mu1
+    real(8) :: c_k, c_k1, p0, p1
+    integer :: k, NP
+
+    xi = prn()
+    gout = this % gmin(gin)
+    prob = this % energy(gin) % data(gout)
+
+    do while (prob < xi)
+      gout = gout + 1
+      prob = prob + this % energy(gin) % data(gout)
+    end do
+
+    ! determine outgoing cosine bin
+    NP = size(this % dist(gin) % data(:, gout))
+    xi = prn()
+
+    c_k = this % dist(gin) % data(1, gout)
+    do k = 1, NP - 1
+      c_k1 = this % dist(gin) % data(k + 1, gout)
+      if (xi < c_k1) exit
+      c_k = c_k1
+    end do
+
+    ! check to make sure k is <= NP - 1
+    k = min(k, NP - 1)
+
+    p0  = this % fmu(gin) % data(k, gout)
+    mu0 = this % mu(k)
+    ! Linear-linear interpolation to find mu value w/in bin.
+    p1  = this % fmu(gin) % data(k + 1, gout)
+    mu1 = this % mu(k + 1)
+
+    if (p0 == p1) then
+      mu = mu0 + (xi - c_k) / p0
+    else
+      frac = (p1 - p0) / (mu1 - mu0)
+      mu = mu0 + &
+           (sqrt(max(ZERO, p0 * p0 + TWO * frac * (xi - c_k))) - p0) / frac
+    end if
+
+    if (mu <= -ONE) then
+      mu = -ONE
+    else if (mu >= ONE) then
+      mu = ONE
+    end if
+
+    wgt = wgt * this % mult(gin) % data(gout)
+
+  end subroutine scattdatatabular_sample
+
+!===============================================================================
+! SCATTDATA*_GET_MATRIX Reproduces the original scattering matrix (densely)
+! using ScattData's information of fmu/dist, energy, and scattxs
+!===============================================================================
+
+    pure function scattdata_get_matrix(this, req_order) result(matrix)
+      class(ScattData), intent(in) :: this          ! Scattering Object to work with
+      integer, intent(in)          :: req_order     ! Requested order of matrix
+      real(8), allocatable         :: matrix(:, :, :) ! Resultant matrix just built
+
+      integer :: order, groups, gin, gout
+
+      groups = size(this % energy)
+      ! Set gin and gout for getting the order
+      order = min(req_order, size(this % dist(1) % data, dim=1))
+
+      allocate(matrix(order, groups, groups))
+      ! Initialize to 0; this way the zero entries in the dense matrix dont
+      ! need to be explicitly set, requiring a significant increase in the
+      ! lines of code.
+      matrix(:, :, :) = ZERO
+      do gin = 1, groups
+        do gout = this % gmin(gin), this % gmax(gin)
+          matrix(:, gout, gin) = this % scattxs(gin) * &
+               this % energy(gin) % data(gout) * &
+               this % dist(gin) % data(1:order, gout)
+        end do
+      end do
+    end function scattdata_get_matrix
+
+    pure function scattdatahistogram_get_matrix(this, req_order) result(matrix)
+      class(ScattDataHistogram), intent(in) :: this          ! Scattering Object to work with
+      integer, intent(in)                 :: req_order     ! Requested order of matrix
+      real(8), allocatable                :: matrix(:, :, :) ! Resultant matrix just built
+
+      integer :: order, groups, gin, gout
+
+      groups = size(this % energy)
+      order = min(req_order, size(this % dist(1) % data, dim=1))
+
+      allocate(matrix(order, groups, groups))
+      ! Initialize to 0; this way the zero entries in the dense matrix dont
+      ! need to be explicitly set, requiring a significant increase in the
+      ! lines of code.
+      matrix(:, :, :) = ZERO
+      do gin = 1, groups
+        do gout = this % gmin(gin), this % gmax(gin)
+          matrix(:, gout, gin) = this % scattxs(gin) * &
+               this % energy(gin) % data(gout) * &
+               this % fmu(gin) % data(1:order, gout)
+        end do
+      end do
+    end function scattdatahistogram_get_matrix
+
+    pure function scattdatatabular_get_matrix(this, req_order) result(matrix)
+      class(ScattDataTabular), intent(in) :: this          ! Scattering Object to work with
+      integer, intent(in)                 :: req_order     ! Requested order of matrix
+      real(8), allocatable                :: matrix(:, :, :) ! Resultant matrix just built
+
+      integer :: order, groups, gin, gout
+
+      groups = size(this % energy)
+      order = min(req_order, size(this % dist(1) % data, dim=1))
+
+      allocate(matrix(order, groups, groups))
+      ! Initialize to 0; this way the zero entries in the dense matrix dont
+      ! need to be explicitly set, requiring a significant increase in the
+      ! lines of code.
+      matrix(:, :, :) = ZERO
+      do gin = 1, groups
+        do gout = this % gmin(gin), this % gmax(gin)
+          matrix(:, gout, gin) = this % scattxs(gin) * &
+               this % energy(gin) % data(gout) * &
+               this % fmu(gin) % data(1:order, gout)
+        end do
+      end do
+    end function scattdatatabular_get_matrix
+
+end module scattdata_header
diff --git a/src/search.F90 b/src/search.F90
index 0c345471c2..f338105f4d 100644
--- a/src/search.F90
+++ b/src/search.F90
@@ -1,7 +1,6 @@
 module search
 
   use constants
-  use error,     only: fatal_error
 
   implicit none
 
diff --git a/src/secondary_correlated.F90 b/src/secondary_correlated.F90
new file mode 100644
index 0000000000..b556d02dc5
--- /dev/null
+++ b/src/secondary_correlated.F90
@@ -0,0 +1,148 @@
+module secondary_correlated
+
+  use angleenergy_header, only: AngleEnergy
+  use constants, only: ZERO, ONE, TWO, HISTOGRAM, LINEAR_LINEAR
+  use distribution_univariate, only: DistributionContainer
+  use random_lcg, only: prn
+  use search, only: binary_search
+
+!===============================================================================
+! CORRELATEDANGLEENERGY represents a correlated angle-energy distribution. This
+! corresponds to ACE law 61 and ENDF File 6, LAW=1, LANG/=2.
+!===============================================================================
+
+  type AngleEnergyTable
+    integer :: interpolation
+    integer :: n_discrete
+    real(8), allocatable :: e_out(:)
+    real(8), allocatable :: p(:)
+    real(8), allocatable :: c(:)
+    type(DistributionContainer), allocatable :: angle(:)
+  end type AngleEnergyTable
+
+  type, extends(AngleEnergy) :: CorrelatedAngleEnergy
+    integer :: n_region                      ! number of interpolation regions
+    integer, allocatable :: breakpoints(:)   ! breakpoints of interpolation regions
+    integer, allocatable :: interpolation(:) ! interpolation region codes
+    real(8), allocatable :: energy(:)        ! incoming energies
+    type(AngleEnergyTable), allocatable :: distribution(:) ! outgoing E/mu distributions
+  contains
+    procedure :: sample => correlated_sample
+  end type CorrelatedAngleEnergy
+
+contains
+
+  subroutine correlated_sample(this, E_in, E_out, mu)
+    class(CorrelatedAngleEnergy), intent(in) :: this
+    real(8), intent(in)  :: E_in  ! incoming energy
+    real(8), intent(out) :: E_out ! sampled outgoing energy
+    real(8), intent(out) :: mu    ! sapmled scattering cosine
+
+    integer :: i, k, l        ! indices
+    integer :: n_energy_in    ! number of incoming energies
+    integer :: n_energy_out   ! number of outgoing energies
+    real(8) :: r              ! interpolation factor on incoming energy
+    real(8) :: r1             ! random number on [0,1)
+    real(8) :: frac           ! interpolation factor on outgoing energy
+    real(8) :: E_i_1, E_i_K   ! endpoints on outgoing grid i
+    real(8) :: E_i1_1, E_i1_K ! endpoints on outgoing grid i+1
+    real(8) :: E_1, E_K       ! endpoints interpolated between i and i+1
+    real(8) :: E_l_k, E_l_k1  ! adjacent E on outgoing grid l
+    real(8) :: p_l_k, p_l_k1  ! adjacent p on outgoing grid l
+    real(8) :: c_k, c_k1      ! cumulative probability
+
+    ! <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<< REMOVE THIS <<<<<<<<<<<<<<<<<<<<<<<<<<<<<
+    ! Before the secondary distribution refactor, an isotropic polar cosine was
+    ! always sampled but then overwritten with the polar cosine sampled from the
+    ! correlated distribution. To preserve the random number stream, we keep
+    ! this dummy sampling here but can remove it later (will change answers)
+    mu = TWO*prn() - ONE
+    ! <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<< REMOVE THIS <<<<<<<<<<<<<<<<<<<<<<<<<<<<<
+
+    ! find energy bin and calculate interpolation factor -- if the energy is
+    ! outside the range of the tabulated energies, choose the first or last bins
+    n_energy_in = size(this%energy)
+    if (E_in < this%energy(1)) then
+      i = 1
+      r = ZERO
+    elseif (E_in > this%energy(n_energy_in)) then
+      i = n_energy_in - 1
+      r = ONE
+    else
+      i = binary_search(this%energy, n_energy_in, E_in)
+      r = (E_in - this%energy(i)) / &
+           (this%energy(i+1) - this%energy(i))
+    end if
+
+    ! Sample between the ith and (i+1)th bin
+    if (r > prn()) then
+      l = i + 1
+    else
+      l = i
+    end if
+
+    ! interpolation for energy E1 and EK
+    n_energy_out = size(this%distribution(i)%e_out)
+    E_i_1 = this%distribution(i)%e_out(1)
+    E_i_K = this%distribution(i)%e_out(n_energy_out)
+
+    n_energy_out = size(this%distribution(i+1)%e_out)
+    E_i1_1 = this%distribution(i+1)%e_out(1)
+    E_i1_K = this%distribution(i+1)%e_out(n_energy_out)
+
+    E_1 = E_i_1 + r*(E_i1_1 - E_i_1)
+    E_K = E_i_K + r*(E_i1_K - E_i_K)
+
+    ! determine outgoing energy bin
+    n_energy_out = size(this%distribution(l)%e_out)
+    r1 = prn()
+    c_k = this%distribution(l)%c(1)
+    do k = 1, n_energy_out - 1
+      c_k1 = this%distribution(l)%c(k+1)
+      if (r1 < c_k1) exit
+      c_k = c_k1
+    end do
+
+    ! check to make sure k is <= NP - 1
+    k = min(k, n_energy_out - 1)
+
+    E_l_k = this%distribution(l)%e_out(k)
+    p_l_k = this%distribution(l)%p(k)
+    if (this%distribution(l)%interpolation == HISTOGRAM) then
+      ! Histogram interpolation
+      if (p_l_k > ZERO) then
+        E_out = E_l_k + (r1 - c_k)/p_l_k
+      else
+        E_out = E_l_k
+      end if
+
+    elseif (this%distribution(l)%interpolation == LINEAR_LINEAR) then
+      ! Linear-linear interpolation
+      E_l_k1 = this%distribution(l)%e_out(k+1)
+      p_l_k1 = this%distribution(l)%p(k+1)
+
+      frac = (p_l_k1 - p_l_k)/(E_l_k1 - E_l_k)
+      if (frac == ZERO) then
+        E_out = E_l_k + (r1 - c_k)/p_l_k
+      else
+        E_out = E_l_k + (sqrt(max(ZERO, p_l_k*p_l_k + &
+             TWO*frac*(r1 - c_k))) - p_l_k)/frac
+      end if
+    end if
+
+    ! Now interpolate between incident energy bins i and i + 1
+    if (l == i) then
+      E_out = E_1 + (E_out - E_i_1)*(E_K - E_1)/(E_i_K - E_i_1)
+    else
+      E_out = E_1 + (E_out - E_i1_1)*(E_K - E_1)/(E_i1_K - E_i1_1)
+    end if
+
+    ! Find correlated angular distribution for closest outgoing energy bin
+    if (r1 - c_k < c_k1 - r1) then
+      mu = this%distribution(l)%angle(k)%obj%sample()
+    else
+      mu = this%distribution(l)%angle(k + 1)%obj%sample()
+    end if
+  end subroutine correlated_sample
+
+end module secondary_correlated
diff --git a/src/secondary_kalbach.F90 b/src/secondary_kalbach.F90
new file mode 100644
index 0000000000..668917d62a
--- /dev/null
+++ b/src/secondary_kalbach.F90
@@ -0,0 +1,164 @@
+module secondary_kalbach
+
+  use angleenergy_header, only: AngleEnergy
+  use constants, only: ZERO, ONE, TWO, HISTOGRAM, LINEAR_LINEAR
+  use random_lcg, only: prn
+  use search, only: binary_search
+
+!===============================================================================
+! KalbachMann represents a correlated angle-energy distribution with the angular
+! distribution represented using Kalbach-Mann systematics. This corresponds to
+! ACE law 44 and ENDF File 6, LAW=1, LANG=2.
+!===============================================================================
+
+  type KalbachMannTable
+    integer :: n_discrete
+    integer :: interpolation
+    real(8), allocatable :: e_out(:)
+    real(8), allocatable :: p(:)
+    real(8), allocatable :: c(:)
+    real(8), allocatable :: r(:)
+    real(8), allocatable :: a(:)
+  end type KalbachMannTable
+
+  type, extends(AngleEnergy) :: KalbachMann
+    integer :: n_region                      ! number of interpolation regions
+    integer, allocatable :: breakpoints(:)   ! breakpoints of interpolation regions
+    integer, allocatable :: interpolation(:) ! interpolation region codes
+    real(8), allocatable :: energy(:)        ! incoming energies
+    type(KalbachMannTable), allocatable :: distribution(:) ! outgoing E/mu parameters
+  contains
+    procedure :: sample => kalbachmann_sample
+  end type KalbachMann
+
+contains
+
+  subroutine kalbachmann_sample(this, E_in, E_out, mu)
+    class(KalbachMann), intent(in) :: this
+    real(8), intent(in)  :: E_in  ! incoming energy
+    real(8), intent(out) :: E_out ! sampled outgoing energy
+    real(8), intent(out) :: mu    ! sampled scattering cosine
+
+    integer :: i, k, l        ! indices
+    integer :: n_energy_in    ! number of incoming energies
+    integer :: n_energy_out   ! number of outgoing energies
+    real(8) :: r              ! interpolation factor on incoming energy
+    real(8) :: r1             ! random number on [0,1)
+    real(8) :: frac           ! interpolation factor on outgoing energy
+    real(8) :: E_i_1, E_i_K   ! endpoints on outgoing grid i
+    real(8) :: E_i1_1, E_i1_K ! endpoints on outgoing grid i+1
+    real(8) :: E_1, E_K       ! endpoints interpolated between i and i+1
+    real(8) :: E_l_k, E_l_k1  ! adjacent E on outgoing grid l
+    real(8) :: p_l_k, p_l_k1  ! adjacent p on outgoing grid l
+    real(8) :: c_k, c_k1      ! cumulative probability
+    real(8) :: km_r, km_a     ! Kalbach-Mann parameters
+    real(8) :: T
+
+    ! <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<< REMOVE THIS <<<<<<<<<<<<<<<<<<<<<<<<<<<<<
+    ! Before the secondary distribution refactor, an isotropic polar cosine was
+    ! always sampled but then overwritten with the polar cosine sampled from the
+    ! correlated distribution. To preserve the random number stream, we keep
+    ! this dummy sampling here but can remove it later (will change answers)
+    mu = TWO*prn() - ONE
+    ! <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<< REMOVE THIS <<<<<<<<<<<<<<<<<<<<<<<<<<<<<
+
+    ! find energy bin and calculate interpolation factor -- if the energy is
+    ! outside the range of the tabulated energies, choose the first or last bins
+    n_energy_in = size(this%energy)
+    if (E_in < this%energy(1)) then
+      i = 1
+      r = ZERO
+    elseif (E_in > this%energy(n_energy_in)) then
+      i = n_energy_in - 1
+      r = ONE
+    else
+      i = binary_search(this%energy, n_energy_in, E_in)
+      r = (E_in - this%energy(i)) / &
+           (this%energy(i+1) - this%energy(i))
+    end if
+
+    ! Sample between the ith and (i+1)th bin
+    if (r > prn()) then
+      l = i + 1
+    else
+      l = i
+    end if
+
+    ! interpolation for energy E1 and EK
+    n_energy_out = size(this%distribution(i)%e_out)
+    E_i_1 = this%distribution(i)%e_out(1)
+    E_i_K = this%distribution(i)%e_out(n_energy_out)
+
+    n_energy_out = size(this%distribution(i+1)%e_out)
+    E_i1_1 = this%distribution(i+1)%e_out(1)
+    E_i1_K = this%distribution(i+1)%e_out(n_energy_out)
+
+    E_1 = E_i_1 + r*(E_i1_1 - E_i_1)
+    E_K = E_i_K + r*(E_i1_K - E_i_K)
+
+    ! determine outgoing energy bin
+    n_energy_out = size(this%distribution(l)%e_out)
+    r1 = prn()
+    c_k = this%distribution(l)%c(1)
+    do k = 1, n_energy_out - 1
+      c_k1 = this%distribution(l)%c(k+1)
+      if (r1 < c_k1) exit
+      c_k = c_k1
+    end do
+
+    ! check to make sure k is <= NP - 1
+    k = min(k, n_energy_out - 1)
+
+    E_l_k = this%distribution(l)%e_out(k)
+    p_l_k = this%distribution(l)%p(k)
+    if (this%distribution(l)%interpolation == HISTOGRAM) then
+      ! Histogram interpolation
+      if (p_l_k > ZERO) then
+        E_out = E_l_k + (r1 - c_k)/p_l_k
+      else
+        E_out = E_l_k
+      end if
+
+      ! Determine Kalbach-Mann parameters
+      km_r = this%distribution(l)%r(k)
+      km_a = this%distribution(l)%a(k)
+
+    elseif (this%distribution(l)%interpolation == LINEAR_LINEAR) then
+      ! Linear-linear interpolation
+      E_l_k1 = this%distribution(l)%e_out(k+1)
+      p_l_k1 = this%distribution(l)%p(k+1)
+
+      frac = (p_l_k1 - p_l_k)/(E_l_k1 - E_l_k)
+      if (frac == ZERO) then
+        E_out = E_l_k + (r1 - c_k)/p_l_k
+      else
+        E_out = E_l_k + (sqrt(max(ZERO, p_l_k*p_l_k + &
+             TWO*frac*(r1 - c_k))) - p_l_k)/frac
+      end if
+
+      ! Determine Kalbach-Mann parameters
+      km_r = this%distribution(l)%r(k) + (E_out - E_l_k)/(E_l_k1 - E_l_k) * &
+           (this%distribution(l)%r(k+1) - this%distribution(l)%r(k))
+      km_a = this%distribution(l)%a(k) + (E_out - E_l_k)/(E_l_k1 - E_l_k) * &
+           (this%distribution(l)%a(k+1) - this%distribution(l)%a(k))
+    end if
+
+    ! Now interpolate between incident energy bins i and i + 1
+    if (l == i) then
+      E_out = E_1 + (E_out - E_i_1)*(E_K - E_1)/(E_i_K - E_i_1)
+    else
+      E_out = E_1 + (E_out - E_i1_1)*(E_K - E_1)/(E_i1_K - E_i1_1)
+    end if
+
+    ! Sampled correlated angle from Kalbach-Mann parameters
+    if (prn() > km_r) then
+      T = (TWO*prn() - ONE) * sinh(km_a)
+      mu = log(T + sqrt(T*T + ONE))/km_a
+    else
+      r1 = prn()
+      mu = log(r1*exp(km_a) + (ONE - r1)*exp(-km_a))/km_a
+    end if
+
+  end subroutine kalbachmann_sample
+
+end module secondary_kalbach
diff --git a/src/secondary_nbody.F90 b/src/secondary_nbody.F90
new file mode 100644
index 0000000000..71cae6fa2a
--- /dev/null
+++ b/src/secondary_nbody.F90
@@ -0,0 +1,70 @@
+module secondary_nbody
+
+  use angleenergy_header, only: AngleEnergy
+  use constants,          only: ONE, TWO, PI
+  use math,               only: maxwell_spectrum
+  use random_lcg,         only: prn
+
+!===============================================================================
+! NBODYPHASESPACE gives the energy distribution for particles emitted from
+! neutron and charged-particle reactions. This corresponds to ACE law 66 and
+! ENDF File 6, LAW=6.
+!===============================================================================
+
+  type, extends(AngleEnergy) :: NBodyPhaseSpace
+    integer :: n_bodies
+    real(8) :: mass_ratio
+    real(8) :: A
+    real(8) :: Q
+  contains
+    procedure :: sample => nbody_sample
+  end type NBodyPhaseSpace
+
+contains
+
+  subroutine nbody_sample(this, E_in, E_out, mu)
+    class(NBodyPhaseSpace), intent(in) :: this
+    real(8), intent(in)  :: E_in  ! incoming energy
+    real(8), intent(out) :: E_out ! sampled outgoing energy
+    real(8), intent(out) :: mu    ! sampled outgoing energy
+
+    real(8) :: Ap      ! total mass of particles in neutron masses
+    real(8) :: E_max   ! maximum possible COM energy
+    real(8) :: x, y, v
+    real(8) :: r1, r2, r3, r4, r5, r6
+
+    ! By definition, the distribution of the angle is isotropic for an N-body
+    ! phase space distribution
+    mu = TWO*prn() - ONE
+
+    ! Determine E_max parameter
+    Ap = this%mass_ratio
+    E_max = (Ap - ONE)/Ap * (this%A/(this%A + ONE)*E_in + this%Q)
+
+    ! x is essentially a Maxwellian distribution
+    x = maxwell_spectrum(ONE)
+
+    select case (this%n_bodies)
+    case (3)
+      y = maxwell_spectrum(ONE)
+    case (4)
+      r1 = prn()
+      r2 = prn()
+      r3 = prn()
+      y = -log(r1*r2*r3)
+    case (5)
+      r1 = prn()
+      r2 = prn()
+      r3 = prn()
+      r4 = prn()
+      r5 = prn()
+      r6 = prn()
+      y = -log(r1*r2*r3*r4) - log(r5) * cos(PI/TWO*r6)**2
+    end select
+
+    ! Now determine v and E_out
+    v = x/(x+y)
+    E_out = E_max * v
+  end subroutine nbody_sample
+
+end module secondary_nbody
diff --git a/src/secondary_uncorrelated.F90 b/src/secondary_uncorrelated.F90
new file mode 100644
index 0000000000..7bc8fa13d9
--- /dev/null
+++ b/src/secondary_uncorrelated.F90
@@ -0,0 +1,48 @@
+module secondary_uncorrelated
+
+  use angle_distribution, only: AngleDistribution
+  use angleenergy_header, only: AngleEnergy
+  use constants, only: ONE, TWO
+  use energy_distribution, only: EnergyDistribution
+  use random_lcg, only: prn
+
+!===============================================================================
+! UNCORRELATEDANGLEENERGY represents an uncorrelated angle-energy
+! distribution. This corresponds to when an energy distribution is given in ENDF
+! File 5/6 and an angular distribution is given in ENDF File 4.
+!===============================================================================
+
+  type, extends(AngleEnergy) :: UncorrelatedAngleEnergy
+    logical :: fission = .false.
+    type(AngleDistribution) :: angle
+    class(EnergyDistribution), allocatable :: energy
+  contains
+    procedure :: sample => uncorrelated_sample
+  end type UncorrelatedAngleEnergy
+
+contains
+
+  subroutine uncorrelated_sample(this, E_in, E_out, mu)
+    class(UncorrelatedAngleEnergy), intent(in) :: this
+    real(8), intent(in)  :: E_in  ! incoming energy
+    real(8), intent(out) :: E_out ! sampled outgoing energy
+    real(8), intent(out) :: mu    ! sampled scattering cosine
+
+    ! Sample cosine of scattering angle
+    if (this%fission) then
+      ! <<<<<<<<<<<<<<<<<<<<<<<<<<<<<< REMOVE THIS <<<<<<<<<<<<<<<<<<<<<<<<<<<<<
+      ! For fission, the angle is not used, so just assign a dummy value
+      mu = ONE
+      ! <<<<<<<<<<<<<<<<<<<<<<<<<<<<<< REMOVE THIS <<<<<<<<<<<<<<<<<<<<<<<<<<<<<
+    elseif (allocated(this%angle%energy)) then
+      mu = this%angle%sample(E_in)
+    else
+      ! no angle distribution given => assume isotropic for all energies
+      mu = TWO*prn() - ONE
+    end if
+
+    ! Sample outgoing energy
+    E_out = this%energy%sample(E_in)
+  end subroutine uncorrelated_sample
+
+end module secondary_uncorrelated
diff --git a/src/simulation.F90 b/src/simulation.F90
index cc230d645b..3321dc70fa 100644
--- a/src/simulation.F90
+++ b/src/simulation.F90
@@ -1,29 +1,29 @@
 module simulation
 
 #ifdef MPI
-  use mpi
+  use message_passing
 #endif
 
-  use cmfd_execute, only: cmfd_init_batch, execute_cmfd
-  use constants,    only: ZERO
-  use eigenvalue,   only: count_source_for_ufs, calculate_average_keff, &
-                          calculate_combined_keff, calculate_generation_keff, &
-                          shannon_entropy, synchronize_bank, keff_generation
+  use cmfd_execute,    only: cmfd_init_batch, execute_cmfd
+  use constants,       only: ZERO
+  use eigenvalue,      only: count_source_for_ufs, calculate_average_keff, &
+                             calculate_combined_keff, calculate_generation_keff, &
+                             shannon_entropy, synchronize_bank, keff_generation
 #ifdef _OPENMP
-  use eigenvalue,   only: join_bank_from_threads
+  use eigenvalue,      only: join_bank_from_threads
 #endif
   use global
-  use output,       only: write_message, header, print_columns, &
-                          print_batch_keff, print_generation
+  use output,          only: write_message, header, print_columns, &
+                             print_batch_keff, print_generation
   use particle_header, only: Particle
-  use random_lcg,   only: set_particle_seed
-  use source,       only: initialize_source
-  use state_point,  only: write_state_point, write_source_point
-  use string,       only: to_str
-  use tally,        only: synchronize_tallies, setup_active_usertallies, &
-                          reset_result
-  use trigger,      only: check_triggers
-  use tracking,     only: transport
+  use random_lcg,      only: set_particle_seed
+  use source,          only: initialize_source, sample_external_source
+  use state_point,     only: write_state_point, write_source_point
+  use string,          only: to_str
+  use tally,           only: synchronize_tallies, setup_active_usertallies, &
+                             reset_result
+  use trigger,         only: check_triggers
+  use tracking,        only: transport
 
   implicit none
   private
@@ -131,7 +131,8 @@ contains
     integer :: i
 
     ! set defaults
-    call p % initialize_from_source(source_bank(index_source))
+    call p % initialize_from_source(source_bank(index_source), run_CE, &
+         energy_bin_avg)
 
     ! set identifier for particle
     p % id = work_index(rank) + index_source
@@ -226,6 +227,8 @@ contains
 
   subroutine finalize_generation()
 
+    integer(8) :: i
+
     ! Update global tallies with the omp private accumulation variables
 !$omp parallel
 !$omp critical
@@ -270,6 +273,12 @@ contains
 
       ! Write generation output
       if (master .and. current_gen /= gen_per_batch) call print_generation()
+    elseif (run_mode == MODE_FIXEDSOURCE) then
+      ! For fixed-source mode, we need to sample the external source
+      do i = 1, work
+        call set_particle_seed(overall_gen*n_particles + work_index(rank) + i)
+        call sample_external_source(source_bank(i))
+      end do
     end if
 
   end subroutine finalize_generation
diff --git a/src/source.F90 b/src/source.F90
index a16eb245d0..194c8c6add 100644
--- a/src/source.F90
+++ b/src/source.F90
@@ -2,17 +2,20 @@ module source
 
   use bank_header,      only: Bank
   use constants
+  use distribution_univariate, only: Discrete
+  use distribution_multivariate, only: SpatialBox
   use error,            only: fatal_error
   use geometry,         only: find_cell
   use geometry_header,  only: BASE_UNIVERSE
   use global
   use hdf5_interface,   only: file_create, file_open, file_close, read_dataset
-  use math,             only: maxwell_spectrum, watt_spectrum
   use output,           only: write_message
   use particle_header,  only: Particle
   use random_lcg,       only: prn, set_particle_seed, prn_set_stream
-  use state_point,      only: read_source_bank, write_source_bank
+  use search,           only: binary_search
   use string,           only: to_str
+  use math
+  use state_point,      only: read_source_bank, write_source_bank
 
 #ifdef MPI
   use message_passing
@@ -50,7 +53,7 @@ contains
       file_id = file_open(path_source, 'r', parallel=.true.)
 
       ! Read the file type
-      call read_dataset(file_id, "filetype", filetype)
+      call read_dataset(filetype, file_id, "filetype")
 
       ! Check to make sure this is a source file
       if (filetype /= 'source') then
@@ -99,147 +102,105 @@ contains
     type(Bank), intent(inout) :: site ! source site
 
     integer :: i          ! dummy loop index
+    integer :: n_source   ! number of source distributions
+    real(8) :: c          ! cumulative frequency
     real(8) :: r(3)       ! sampled coordinates
-    real(8) :: phi        ! azimuthal angle
-    real(8) :: mu         ! cosine of polar angle
-    real(8) :: p_min(3)   ! minimum coordinates of source
-    real(8) :: p_max(3)   ! maximum coordinates of source
-    real(8) :: a          ! Arbitrary parameter 'a'
-    real(8) :: b          ! Arbitrary parameter 'b'
     logical :: found      ! Does the source particle exist within geometry?
     type(Particle) :: p   ! Temporary particle for using find_cell
     integer, save :: num_resamples = 0 ! Number of resamples encountered
 
     ! Set weight to one by default
-    site%wgt = ONE
+    site % wgt = ONE
 
     ! Set the random number generator to the source stream.
     call prn_set_stream(STREAM_SOURCE)
 
-    ! Sample position
-    select case (external_source%type_space)
-    case (SRC_SPACE_BOX)
+    ! Sample from among multiple source distributions
+    n_source = size(external_source)
+    if (n_source > 1) then
+      r(1) = prn()*sum(external_source(:) % strength)
+      c = ZERO
+      do i = 1, n_source
+        c = c + external_source(i) % strength
+        if (r(1) < c) exit
+      end do
+    else
+      i = 1
+    end if
+
+    ! Repeat sampling source location until a good site has been found
+    found = .false.
+    do while (.not.found)
       ! Set particle defaults
-      call p%initialize()
-      ! Repeat sampling source location until a good site has been found
-      found = .false.
-      do while (.not.found)
-        ! Coordinates sampled uniformly over a box
-        p_min = external_source%params_space(1:3)
-        p_max = external_source%params_space(4:6)
-        r = (/ (prn(), i = 1,3) /)
-        site%xyz = p_min + r*(p_max - p_min)
+      call p % initialize()
 
-        ! Fill p with needed data
-        p%coord(1)%xyz = site%xyz
-        p%coord(1)%uvw = [ ONE, ZERO, ZERO ]
+      ! Sample spatial distribution
+      site % xyz(:) = external_source(i) % space % sample()
 
-        ! Now search to see if location exists in geometry
-        call find_cell(p, found)
-        if (.not. found) then
-          num_resamples = num_resamples + 1
-          if (num_resamples == MAX_EXTSRC_RESAMPLES) then
-            call fatal_error("Maximum number of external source spatial &
-                 &resamples reached!")
+      ! Fill p with needed data
+      p % coord(1) % xyz(:) = site % xyz
+      p % coord(1) % uvw(:) = [ ONE, ZERO, ZERO ]
+
+      ! Now search to see if location exists in geometry
+      call find_cell(p, found)
+      if (.not. found) then
+        num_resamples = num_resamples + 1
+        if (num_resamples == MAX_EXTSRC_RESAMPLES) then
+          call fatal_error("Maximum number of external source spatial &
+               &resamples reached!")
+        end if
+      end if
+
+      ! Check if spatial site is in fissionable material
+      select type (space => external_source(i) % space)
+      type is (SpatialBox)
+        if (space % only_fissionable) then
+          if (p % material == MATERIAL_VOID) then
+            found = .false.
+          elseif (.not. materials(p % material) % fissionable) then
+            found = .false.
           end if
         end if
-      end do
-      call p%clear()
+      end select
+    end do
 
-    case (SRC_SPACE_FISSION)
-      ! Repeat sampling source location until a good site has been found
-      found = .false.
-      do while (.not.found)
-        ! Set particle defaults
-        call p%initialize()
-
-        ! Coordinates sampled uniformly over a box
-        p_min = external_source%params_space(1:3)
-        p_max = external_source%params_space(4:6)
-        r = (/ (prn(), i = 1,3) /)
-        site%xyz = p_min + r*(p_max - p_min)
-
-        ! Fill p with needed data
-        p%coord(1)%xyz = site%xyz
-        p%coord(1)%uvw = [ ONE, ZERO, ZERO ]
-
-        ! Now search to see if location exists in geometry
-        call find_cell(p, found)
-        if (.not. found) then
-          num_resamples = num_resamples + 1
-          if (num_resamples == MAX_EXTSRC_RESAMPLES) then
-            call fatal_error("Maximum number of external source spatial &
-                 &resamples reached!")
-          end if
-          cycle
-        end if
-        if (p%material == MATERIAL_VOID) then
-          found = .false.
-          cycle
-        end if
-        if (.not. materials(p%material)%fissionable) found = .false.
-      end do
-      call p%clear()
-
-    case (SRC_SPACE_POINT)
-      ! Point source
-      site%xyz = external_source%params_space
-
-    end select
+    call p % clear()
 
     ! Sample angle
-    select case (external_source%type_angle)
-    case (SRC_ANGLE_ISOTROPIC)
-      ! Sample isotropic distribution
-      phi = TWO*PI*prn()
-      mu = TWO*prn() - ONE
-      site%uvw(1) = mu
-      site%uvw(2) = sqrt(ONE - mu*mu) * cos(phi)
-      site%uvw(3) = sqrt(ONE - mu*mu) * sin(phi)
+    site % uvw(:) = external_source(i) % angle % sample()
 
-    case (SRC_ANGLE_MONO)
-      ! Monodirectional source
-      site%uvw = external_source%params_angle
-
-    case default
-      call fatal_error("No angle distribution specified for external source!")
-    end select
-
-    ! Sample energy distribution
-    select case (external_source%type_energy)
-    case (SRC_ENERGY_MONO)
-      ! Monoenergtic source
-      site%E = external_source%params_energy(1)
-      if (site%E >= energy_max_neutron) then
+    ! Check for monoenergetic source above maximum neutron energy
+    select type (energy => external_source(i) % energy)
+    type is (Discrete)
+      if (any(energy % x >= energy_max_neutron)) then
         call fatal_error("Source energy above range of energies of at least &
              &one cross section table")
       end if
-
-    case (SRC_ENERGY_MAXWELL)
-      a = external_source%params_energy(1)
-      do
-        ! Sample Maxwellian fission spectrum
-        site%E = maxwell_spectrum(a)
-
-        ! resample if energy is greater than maximum neutron energy
-        if (site%E < energy_max_neutron) exit
-      end do
-
-    case (SRC_ENERGY_WATT)
-      a = external_source%params_energy(1)
-      b = external_source%params_energy(2)
-      do
-        ! Sample Watt fission spectrum
-        site%E = watt_spectrum(a, b)
-
-        ! resample if energy is greater than maximum neutron energy
-        if (site%E < energy_max_neutron) exit
-      end do
-
-    case default
-      call fatal_error("No energy distribution specified for external source!")
     end select
 
+    do
+      ! Sample energy spectrum
+      site % E = external_source(i) % energy % sample()
+
+      ! resample if energy is greater than maximum neutron energy
+      if (site % E < energy_max_neutron) exit
+    end do
+
+    ! Set delayed group
+    site % delayed_group = 0
+
+    ! If running in MG, convert site % E to group
+    if (.not. run_CE) then
+      if (site % E <= energy_bins(1)) then
+        site % E = real(1, 8)
+      else if (site % E > energy_bins(energy_groups + 1)) then
+        site % E = real(energy_groups, 8)
+      else
+        site % E = real(binary_search(energy_bins, energy_groups + 1, &
+             site % E), 8)
+      end if
+    end if
+
     ! Set the random number generator back to the tracking stream.
     call prn_set_stream(STREAM_TRACKING)
 
diff --git a/src/source_header.F90 b/src/source_header.F90
index 11c74d110c..eefc007a47 100644
--- a/src/source_header.F90
+++ b/src/source_header.F90
@@ -1,19 +1,20 @@
 module source_header
 
+  use distribution_univariate, only: Distribution
+  use distribution_multivariate, only: UnitSphereDistribution, SpatialDistribution
+
   implicit none
 
 !===============================================================================
-! EXTSOURCE describes an external source of neutrons for a fixed-source problem
-! or for the starting source in a k eigenvalue problem
+! SOURCEDISTRIBUTION describes an external source of particles for a
+! fixed-source problem or for the starting source in a k eigenvalue problem
 !===============================================================================
 
-  type ExtSource
-    integer :: type_space              ! spacial distribution, e.g. 'box' or 'point'
-    integer :: type_angle              ! angle distribution, e.g. 'isotropic'
-    integer :: type_energy             ! energy distribution, e.g. 'Watt'
-    real(8), allocatable :: params_space(:)  ! parameters for spatial distribution
-    real(8), allocatable :: params_angle(:)  ! parameters for angle distribution
-    real(8), allocatable :: params_energy(:) ! parameters for energy distribution
-  end type ExtSource
+  type SourceDistribution
+    real(8) :: strength ! source strength
+    class(SpatialDistribution),    allocatable :: space  ! spatial distribution
+    class(UnitSphereDistribution), allocatable :: angle  ! angle distribution
+    class(Distribution),           allocatable :: energy ! energy distribution
+  end type SourceDistribution
 
 end module source_header
diff --git a/src/state_point.F90 b/src/state_point.F90
index f9f4b5b757..f379501343 100644
--- a/src/state_point.F90
+++ b/src/state_point.F90
@@ -18,10 +18,11 @@ module state_point
   use global
   use hdf5_interface
   use output,             only: write_message, time_stamp
-  use string,             only: to_str, zero_padded, count_digits
+  use string,             only: to_str, count_digits, zero_padded
   use tally_header,       only: TallyObject
   use mesh_header,        only: RegularMesh
   use dict_header,        only: ElemKeyValueII, ElemKeyValueCI
+  use random_lcg,         only: seed
 
 #ifdef MPI
   use message_passing
@@ -48,10 +49,8 @@ contains
     integer, allocatable :: id_array(:)
     integer, allocatable :: key_array(:)
     integer(HID_T) :: file_id
-    integer(HID_T) :: cmfd_group
-    integer(HID_T) :: tallies_group, tally_group
-    integer(HID_T) :: meshes_group, mesh_group
-    integer(HID_T) :: filter_group
+    integer(HID_T) :: cmfd_group, tallies_group, tally_group, meshes_group, &
+                      mesh_group, filter_group, runtime_group
     character(20), allocatable :: str_array(:)
     character(MAX_FILE_LEN)    :: filename
     type(RegularMesh), pointer :: meshp
@@ -92,6 +91,11 @@ contains
       call write_dataset(file_id, "seed", seed)
 
       ! Write run information
+      if (run_CE) then
+        call write_dataset(file_id, "run_CE", 1)
+      else
+        call write_dataset(file_id, "run_CE", 0)
+      end if
       select case(run_mode)
       case (MODE_FIXEDSOURCE)
         call write_dataset(file_id, "run_mode", "fixed source")
@@ -127,13 +131,13 @@ contains
           call write_dataset(file_id, "cmfd_on", 1)
 
           cmfd_group = create_group(file_id, "cmfd")
-          call write_dataset(cmfd_group, "indices", cmfd%indices)
-          call write_dataset(cmfd_group, "k_cmfd", cmfd%k_cmfd)
-          call write_dataset(cmfd_group, "cmfd_src", cmfd%cmfd_src)
-          call write_dataset(cmfd_group, "cmfd_entropy", cmfd%entropy)
-          call write_dataset(cmfd_group, "cmfd_balance", cmfd%balance)
-          call write_dataset(cmfd_group, "cmfd_dominance", cmfd%dom)
-          call write_dataset(cmfd_group, "cmfd_srccmp", cmfd%src_cmp)
+          call write_dataset(cmfd_group, "indices", cmfd % indices)
+          call write_dataset(cmfd_group, "k_cmfd", cmfd % k_cmfd)
+          call write_dataset(cmfd_group, "cmfd_src", cmfd % cmfd_src)
+          call write_dataset(cmfd_group, "cmfd_entropy", cmfd % entropy)
+          call write_dataset(cmfd_group, "cmfd_balance", cmfd % balance)
+          call write_dataset(cmfd_group, "cmfd_dominance", cmfd % dom)
+          call write_dataset(cmfd_group, "cmfd_srccmp", cmfd % src_cmp)
           call close_group(cmfd_group)
         else
           call write_dataset(file_id, "cmfd_on", 0)
@@ -149,18 +153,18 @@ contains
       if (n_meshes > 0) then
 
         ! Print list of mesh IDs
-        current => mesh_dict%keys()
+        current => mesh_dict % keys()
 
         allocate(id_array(n_meshes))
         allocate(key_array(n_meshes))
         i = 1
 
         do while (associated(current))
-          key_array(i) = current%key
-          id_array(i) = current%value
+          key_array(i) = current % key
+          id_array(i) = current % value
 
           ! Move to next mesh
-          next => current%next
+          next => current % next
           deallocate(current)
           current => next
           i = i + 1
@@ -174,16 +178,17 @@ contains
         ! Write information for meshes
         MESH_LOOP: do i = 1, n_meshes
           meshp => meshes(id_array(i))
-          mesh_group = create_group(meshes_group, "mesh " // trim(to_str(meshp%id)))
+          mesh_group = create_group(meshes_group, "mesh " &
+               // trim(to_str(meshp % id)))
 
-          select case (meshp%type)
+          select case (meshp % type)
           case (MESH_REGULAR)
             call write_dataset(mesh_group, "type", "regular")
           end select
-          call write_dataset(mesh_group, "dimension", meshp%dimension)
-          call write_dataset(mesh_group, "lower_left", meshp%lower_left)
-          call write_dataset(mesh_group, "upper_right", meshp%upper_right)
-          call write_dataset(mesh_group, "width", meshp%width)
+          call write_dataset(mesh_group, "dimension", meshp % dimension)
+          call write_dataset(mesh_group, "lower_left", meshp % lower_left)
+          call write_dataset(mesh_group, "upper_right", meshp % upper_right)
+          call write_dataset(mesh_group, "width", meshp % width)
 
           call close_group(mesh_group)
         end do MESH_LOOP
@@ -205,7 +210,7 @@ contains
         ! Write all tally information except results
         do i = 1, n_tallies
           tally => tallies(i)
-          key_array(i) = tally%id
+          key_array(i) = tally % id
           id_array(i) = i
         end do
 
@@ -220,9 +225,9 @@ contains
           ! Get pointer to tally
           tally => tallies(i)
           tally_group = create_group(tallies_group, "tally " // &
-               trim(to_str(tally%id)))
+               trim(to_str(tally % id)))
 
-          select case(tally%estimator)
+          select case(tally % estimator)
           case (ESTIMATOR_ANALOG)
             call write_dataset(tally_group, "estimator", "analog")
           case (ESTIMATOR_TRACKLENGTH)
@@ -230,16 +235,17 @@ contains
           case (ESTIMATOR_COLLISION)
             call write_dataset(tally_group, "estimator", "collision")
           end select
-          call write_dataset(tally_group, "n_realizations", tally%n_realizations)
-          call write_dataset(tally_group, "n_filters", tally%n_filters)
+          call write_dataset(tally_group, "n_realizations", &
+               tally % n_realizations)
+          call write_dataset(tally_group, "n_filters", tally % n_filters)
 
           ! Write filter information
-          FILTER_LOOP: do j = 1, tally%n_filters
+          FILTER_LOOP: do j = 1, tally % n_filters
             filter_group = create_group(tally_group, "filter " // &
                  trim(to_str(j)))
 
             ! Write name of type
-            select case (tally%filters(j)%type)
+            select case (tally % filters(j) % type)
             case(FILTER_UNIVERSE)
               call write_dataset(filter_group, "type", "universe")
             case(FILTER_MATERIAL)
@@ -268,37 +274,41 @@ contains
               call write_dataset(filter_group, "type", "delayedgroup")
             end select
 
-            call write_dataset(filter_group, "offset", tally%filters(j)%offset)
-            call write_dataset(filter_group, "n_bins", tally%filters(j)%n_bins)
+            call write_dataset(filter_group, "n_bins", &
+                 tally % filters(j) % n_bins)
             if (tally % filters(j) % type == FILTER_ENERGYIN .or. &
                  tally % filters(j) % type == FILTER_ENERGYOUT .or. &
                  tally % filters(j) % type == FILTER_MU .or. &
                  tally % filters(j) % type == FILTER_POLAR .or. &
                  tally % filters(j) % type == FILTER_AZIMUTHAL) then
               call write_dataset(filter_group, "bins", &
-                   tally%filters(j)%real_bins)
+                   tally % filters(j) % real_bins)
             else
               call write_dataset(filter_group, "bins", &
-                   tally%filters(j)%int_bins)
+                   tally % filters(j) % int_bins)
             end if
 
             call close_group(filter_group)
           end do FILTER_LOOP
 
           ! Set up nuclide bin array and then write
-          allocate(str_array(tally%n_nuclide_bins))
-          NUCLIDE_LOOP: do j = 1, tally%n_nuclide_bins
-            if (tally%nuclide_bins(j) > 0) then
+          allocate(str_array(tally % n_nuclide_bins))
+          NUCLIDE_LOOP: do j = 1, tally % n_nuclide_bins
+            if (tally % nuclide_bins(j) > 0) then
               ! Get index in cross section listings for this nuclide
-              i_list = nuclides(tally%nuclide_bins(j))%listing
+              if (run_CE) then
+                i_list = nuclides(tally % nuclide_bins(j)) % listing
+              else
+                i_list = nuclides_MG(tally % nuclide_bins(j)) % obj % listing
+              end if
 
               ! Determine position of . in alias string (e.g. "U-235.71c"). If
               ! no . is found, just use the entire string.
-              i_xs = index(xs_listings(i_list)%alias, '.')
+              i_xs = index(xs_listings(i_list) % alias, '.')
               if (i_xs > 0) then
-                str_array(j) = xs_listings(i_list)%alias(1:i_xs - 1)
+                str_array(j) = xs_listings(i_list) % alias(1:i_xs - 1)
               else
-                str_array(j) = xs_listings(i_list)%alias
+                str_array(j) = xs_listings(i_list) % alias
               end if
             else
               str_array(j) = 'total'
@@ -307,79 +317,33 @@ contains
           call write_dataset(tally_group, "nuclides", str_array)
           deallocate(str_array)
 
-          call write_dataset(tally_group, "n_score_bins", tally%n_score_bins)
-          allocate(str_array(size(tally%score_bins)))
-          do j = 1, size(tally%score_bins)
-            select case(tally%score_bins(j))
-            case (SCORE_FLUX)
-              str_array(j) = "flux"
-            case (SCORE_TOTAL)
-              str_array(j) = "total"
-            case (SCORE_SCATTER)
-              str_array(j) = "scatter"
-            case (SCORE_NU_SCATTER)
-              str_array(j) = "nu-scatter"
-            case (SCORE_SCATTER_N)
-              str_array(j) = "scatter-n"
-            case (SCORE_SCATTER_PN)
-              str_array(j) = "scatter-pn"
-            case (SCORE_NU_SCATTER_N)
-              str_array(j) = "nu-scatter-n"
-            case (SCORE_NU_SCATTER_PN)
-              str_array(j) = "nu-scatter-pn"
-            case (SCORE_TRANSPORT)
-              str_array(j) = "transport"
-            case (SCORE_N_1N)
-              str_array(j) = "n1n"
-            case (SCORE_ABSORPTION)
-              str_array(j) = "absorption"
-            case (SCORE_FISSION)
-              str_array(j) = "fission"
-            case (SCORE_NU_FISSION)
-              str_array(j) = "nu-fission"
-            case (SCORE_DELAYED_NU_FISSION)
-              str_array(j) = "delayed-nu-fission"
-            case (SCORE_KAPPA_FISSION)
-              str_array(j) = "kappa-fission"
-            case (SCORE_CURRENT)
-              str_array(j) = "current"
-            case (SCORE_FLUX_YN)
-              str_array(j) = "flux-yn"
-            case (SCORE_TOTAL_YN)
-              str_array(j) = "total-yn"
-            case (SCORE_SCATTER_YN)
-              str_array(j) = "scatter-yn"
-            case (SCORE_NU_SCATTER_YN)
-              str_array(j) = "nu-scatter-yn"
-            case (SCORE_EVENTS)
-              str_array(j) = "events"
-            case (SCORE_INVERSE_VELOCITY)
-              str_array(j) = "inverse-velocity"
-            case default
-              str_array(j) = reaction_name(tally%score_bins(j))
-            end select
+          call write_dataset(tally_group, "n_score_bins", tally % n_score_bins)
+          allocate(str_array(size(tally % score_bins)))
+          do j = 1, size(tally % score_bins)
+            str_array(j) = reaction_name(tally % score_bins(j))
           end do
           call write_dataset(tally_group, "score_bins", str_array)
-          call write_dataset(tally_group, "n_user_score_bins", tally%n_user_score_bins)
+          call write_dataset(tally_group, "n_user_score_bins", &
+               tally % n_user_score_bins)
 
           deallocate(str_array)
 
           ! Write explicit moment order strings for each score bin
           k = 1
-          allocate(str_array(tally%n_score_bins))
-          MOMENT_LOOP: do j = 1, tally%n_user_score_bins
-            select case(tally%score_bins(k))
+          allocate(str_array(tally % n_score_bins))
+          MOMENT_LOOP: do j = 1, tally % n_user_score_bins
+            select case(tally % score_bins(k))
             case (SCORE_SCATTER_N, SCORE_NU_SCATTER_N)
-              str_array(k) = 'P' // trim(to_str(tally%moment_order(k)))
+              str_array(k) = trim(to_str(tally % moment_order(k)))
               k = k + 1
             case (SCORE_SCATTER_PN, SCORE_NU_SCATTER_PN)
-              do n_order = 0, tally%moment_order(k)
-                str_array(k) = 'P' // trim(to_str(n_order))
+              do n_order = 0, tally % moment_order(k)
+                str_array(k) = trim(to_str(n_order))
                 k = k + 1
               end do
             case (SCORE_SCATTER_YN, SCORE_NU_SCATTER_YN, SCORE_FLUX_YN, &
                  SCORE_TOTAL_YN)
-              do n_order = 0, tally%moment_order(k)
+              do n_order = 0, tally % moment_order(k)
                 do nm_order = -n_order, n_order
                   str_array(k) = 'Y' // trim(to_str(n_order)) // ',' // &
                        trim(to_str(nm_order))
@@ -431,8 +395,9 @@ contains
           tally => tallies(i)
 
           ! Write sum and sum_sq for each bin
-          tally_group = open_group(tallies_group, "tally " // to_str(tally%id))
-          call write_dataset(tally_group, "results", tally%results)
+          tally_group = open_group(tallies_group, "tally " &
+               // to_str(tally % id))
+          call write_dataset(tally_group, "results", tally % results)
           call close_group(tally_group)
         end do TALLY_RESULTS
 
@@ -442,13 +407,45 @@ contains
       end if
 
       call close_group(tallies_group)
+
+      ! Write out the runtime metrics.
+      runtime_group = create_group(file_id, "runtime")
+      call write_dataset(runtime_group, "total initialization", &
+           time_initialize % get_value())
+      call write_dataset(runtime_group, "reading cross sections", &
+           time_read_xs % get_value())
+      call write_dataset(runtime_group, "simulation", &
+           time_inactive % get_value() + time_active % get_value())
+      call write_dataset(runtime_group, "transport", &
+           time_transport % get_value())
+      if (run_mode == MODE_EIGENVALUE) then
+        call write_dataset(runtime_group, "inactive batches", &
+             time_inactive % get_value())
+      end if
+      call write_dataset(runtime_group, "active batches", &
+           time_active % get_value())
+      if (run_mode == MODE_EIGENVALUE) then
+        call write_dataset(runtime_group, "synchronizing fission bank", &
+             time_bank % get_value())
+        call write_dataset(runtime_group, "sampling source sites", &
+             time_bank_sample % get_value())
+        call write_dataset(runtime_group, "SEND-RECV source sites", &
+             time_bank_sendrecv % get_value())
+      end if
+      call write_dataset(runtime_group, "accumulating tallies", &
+           time_tallies % get_value())
+      if (cmfd_run) then
+        call write_dataset(runtime_group, "CMFD", time_cmfd % get_value())
+        call write_dataset(runtime_group, "CMFD building matrices", &
+             time_cmfdbuild % get_value())
+        call write_dataset(runtime_group, "CMFD solving matrices", &
+             time_cmfdsolve % get_value())
+      end if
+      call write_dataset(runtime_group, "total", time_total % get_value())
+      call close_group(runtime_group)
+
       call file_close(file_id)
     end if
-
-    if (master .and. n_tallies > 0) then
-      deallocate(id_array)
-    end if
-
   end subroutine write_state_point
 
 !===============================================================================
@@ -694,6 +691,7 @@ contains
     integer(HID_T) :: tally_group
     real(8) :: real_array(3)
     logical :: source_present
+    integer :: sp_run_CE
     character(MAX_WORD_LEN) :: word
     type(TallyObject), pointer :: tally
 
@@ -705,38 +703,52 @@ contains
     file_id = file_open(path_state_point, 'r', parallel=.true.)
 
     ! Read filetype
-    call read_dataset(file_id, "filetype", int_array(1))
+    call read_dataset(word, file_id, "filetype")
+    if (word /= 'statepoint') then
+      call fatal_error("OpenMC tried to restart from a non-statepoint file.")
+    end if
 
     ! Read revision number for state point file and make sure it matches with
     ! current version
-    call read_dataset(file_id, "revision", int_array(1))
+    call read_dataset(int_array(1), file_id, "revision")
     if (int_array(1) /= REVISION_STATEPOINT) then
       call fatal_error("State point version does not match current version &
            &in OpenMC.")
     end if
 
     ! Read and overwrite random number seed
-    call read_dataset(file_id, "seed", seed)
+    call read_dataset(seed, file_id, "seed")
+
+    ! It is not impossible for a state point to be generated from a CE run but
+    ! to be loaded in to an MG run (or vice versa), check to prevent that.
+    call read_dataset(sp_run_CE, file_id, "run_CE")
+    if (sp_run_CE == 0 .and. run_CE) then
+      call fatal_error("State point file is from multi-group run but &
+                       & current run is continous-energy!")
+    else if (sp_run_CE == 1 .and. .not. run_CE) then
+      call fatal_error("State point file is from continuous-energy run but &
+                       & current run is multi-group!")
+    end if
 
     ! Read and overwrite run information except number of batches
-    call read_dataset(file_id, "run_mode", word)
+    call read_dataset(word, file_id, "run_mode")
     select case(word)
     case ('fixed source')
       run_mode = MODE_FIXEDSOURCE
     case ('k-eigenvalue')
       run_mode = MODE_EIGENVALUE
     end select
-    call read_dataset(file_id, "n_particles", n_particles)
-    call read_dataset(file_id, "n_batches", int_array(1))
+    call read_dataset(n_particles, file_id, "n_particles")
+    call read_dataset(int_array(1), file_id, "n_batches")
 
     ! Take maximum of statepoint n_batches and input n_batches
     n_batches = max(n_batches, int_array(1))
 
     ! Read batch number to restart at
-    call read_dataset(file_id, "current_batch", restart_batch)
+    call read_dataset(restart_batch, file_id, "current_batch")
 
     ! Check for source in statepoint if needed
-    call read_dataset(file_id, "source_present", int_array(1))
+    call read_dataset(int_array(1), file_id, "source_present")
     if (int_array(1) == 1) then
       source_present = .true.
     else
@@ -750,37 +762,37 @@ contains
 
     ! Read information specific to eigenvalue run
     if (run_mode == MODE_EIGENVALUE) then
-      call read_dataset(file_id, "n_inactive", int_array(1))
-      call read_dataset(file_id, "gen_per_batch", gen_per_batch)
-      call read_dataset(file_id, "k_generation", &
-           k_generation(1:restart_batch*gen_per_batch))
-      call read_dataset(file_id, "entropy", &
-           entropy(1:restart_batch*gen_per_batch))
-      call read_dataset(file_id, "k_col_abs", k_col_abs)
-      call read_dataset(file_id, "k_col_tra", k_col_tra)
-      call read_dataset(file_id, "k_abs_tra", k_abs_tra)
-      call read_dataset(file_id, "k_combined", real_array(1:2))
+      call read_dataset(int_array(1), file_id, "n_inactive")
+      call read_dataset(gen_per_batch, file_id, "gen_per_batch")
+      call read_dataset(k_generation(1:restart_batch*gen_per_batch), &
+           file_id, "k_generation")
+      call read_dataset(entropy(1:restart_batch*gen_per_batch), &
+           file_id, "entropy")
+      call read_dataset(k_col_abs, file_id, "k_col_abs")
+      call read_dataset(k_col_tra, file_id, "k_col_tra")
+      call read_dataset(k_abs_tra, file_id, "k_abs_tra")
+      call read_dataset(real_array(1:2), file_id, "k_combined")
 
       ! Take maximum of statepoint n_inactive and input n_inactive
       n_inactive = max(n_inactive, int_array(1))
 
       ! Read in to see if CMFD was on
-      call read_dataset(file_id, "cmfd_on", int_array(1))
+      call read_dataset(int_array(1), file_id, "cmfd_on")
 
       ! Read in CMFD info
       if (int_array(1) == 1) then
         cmfd_group = open_group(file_id, "cmfd")
-        call read_dataset(cmfd_group, "indices", cmfd%indices)
-        call read_dataset(cmfd_group, "k_cmfd", cmfd%k_cmfd(1:restart_batch))
-        call read_dataset(cmfd_group, "cmfd_src", cmfd%cmfd_src)
-        call read_dataset(cmfd_group, "cmfd_entropy", &
-             cmfd%entropy(1:restart_batch))
-        call read_dataset(cmfd_group, "cmfd_balance", &
-             cmfd%balance(1:restart_batch))
-        call read_dataset(cmfd_group, "cmfd_dominance", &
-             cmfd%dom(1:restart_batch))
-        call read_dataset(cmfd_group, "cmfd_srccmp", &
-             cmfd%src_cmp(1:restart_batch))
+        call read_dataset(cmfd % indices, cmfd_group, "indices")
+        call read_dataset(cmfd % k_cmfd(1:restart_batch), cmfd_group, "k_cmfd")
+        call read_dataset(cmfd % cmfd_src, cmfd_group, "cmfd_src")
+        call read_dataset(cmfd % entropy(1:restart_batch), cmfd_group, &
+             "cmfd_entropy")
+        call read_dataset(cmfd % balance(1:restart_batch), cmfd_group, &
+             "cmfd_balance")
+        call read_dataset(cmfd % dom(1:restart_batch), cmfd_group, &
+             "cmfd_dominance")
+        call read_dataset(cmfd % src_cmp(1:restart_batch), cmfd_group, &
+             "cmfd_srccmp")
         call close_group(cmfd_group)
       end if
     end if
@@ -791,18 +803,24 @@ contains
            &file")
     end if
 
-    ! Read tallies to master
+    ! Read tallies to master. If we are using Parallel HDF5, all processes
+    ! need to be included in the HDF5 calls.
+#ifdef PHDF5
+    if (.true.) then
+#else
     if (master) then
+#endif
 
       ! Read number of realizations for global tallies
-      call read_dataset(file_id, "n_realizations", n_realizations, indep=.true.)
+      call read_dataset(n_realizations, file_id, "n_realizations", indep=.true.)
 
       ! Read global tally data
       call read_dataset(file_id, "global_tallies", global_tallies)
 
       ! Check if tally results are present
       tallies_group = open_group(file_id, "tallies")
-      call read_dataset(file_id, "tallies_present", int_array(1), indep=.true.)
+      call read_dataset(int_array(1), tallies_group, "tallies_present", &
+                        indep=.true.)
 
       ! Read in sum and sum squared
       if (int_array(1) == 1) then
@@ -810,10 +828,12 @@ contains
           ! Set pointer to tally
           tally => tallies(i)
 
-          ! Read sum and sum_sq for each bin
+          ! Read sum, sum_sq, and N for each bin
           tally_group = open_group(tallies_group, "tally " // &
-               trim(to_str(tally%id)))
-          call read_dataset(tally_group, "results", tally%results)
+               trim(to_str(tally % id)))
+          call read_dataset(tally_group, "results", tally % results)
+          call read_dataset(tally % n_realizations, tally_group, &
+               "n_realizations")
           call close_group(tally_group)
         end do TALLY_RESULTS
       end if
@@ -839,7 +859,7 @@ contains
         file_id = file_open(path_source_point, 'r', parallel=.true.)
 
         ! Read file type
-        call read_dataset(file_id, "filetype", int_array(1))
+        call read_dataset(int_array(1), file_id, "filetype")
 
       end if
 
diff --git a/src/string.F90 b/src/string.F90
index ce130a212d..b51763a611 100644
--- a/src/string.F90
+++ b/src/string.F90
@@ -3,7 +3,6 @@ module string
   use constants, only: MAX_WORDS, MAX_LINE_LEN, ERROR_INT, ERROR_REAL, &
        OP_LEFT_PAREN, OP_RIGHT_PAREN, OP_COMPLEMENT, OP_INTERSECTION, OP_UNION
   use error,     only: fatal_error, warning
-  use global,    only: master
   use stl_vector, only: VectorInt
 
   implicit none
@@ -50,8 +49,8 @@ contains
         if (i_end > 0) then
           n = n + 1
           if (i_end - i_start + 1 > len(words(n))) then
-            if (master) call warning("The word '" // string(i_start:i_end) &
-                 &// "' is longer than the space allocated for it.")
+            call warning("The word '" // string(i_start:i_end) &
+                 // "' is longer than the space allocated for it.")
           end if
           words(n) = string(i_start:i_end)
           ! reset indices
diff --git a/src/summary.F90 b/src/summary.F90
index f2c261ec75..2ec96042c1 100644
--- a/src/summary.F90
+++ b/src/summary.F90
@@ -1,18 +1,19 @@
 module summary
 
-  use ace_header,      only: Reaction, UrrData, Nuclide
   use constants
   use endf,            only: reaction_name
   use geometry_header, only: Cell, Universe, Lattice, RectLattice, &
-                             &HexLattice
+                             &HexLattice, BASE_UNIVERSE
   use global
   use hdf5_interface
   use material_header, only: Material
   use mesh_header,     only: RegularMesh
+  use nuclide_header
   use output,          only: time_stamp
   use surface_header
   use string,          only: to_str
   use tally_header,    only: TallyObject
+  use output,          only: find_offset
 
   use hdf5
 
@@ -37,6 +38,12 @@ contains
     ! Write header information
     call write_header(file_id)
 
+    if (run_CE) then
+      call write_dataset(file_id, "run_CE", 1)
+    else
+      call write_dataset(file_id, "run_CE", 0)
+    end if
+
     ! Write number of particles
     call write_dataset(file_id, "n_particles", n_particles)
     call write_dataset(file_id, "n_batches", n_batches)
@@ -45,7 +52,7 @@ contains
     call write_attribute_string(file_id, "n_batches", &
          "description", "Total number of batches")
 
-      ! Write eigenvalue information
+    ! Write eigenvalue information
     if (run_mode == MODE_EIGENVALUE) then
       ! write number of inactive/active batches and generations/batch
       call write_dataset(file_id, "n_inactive", n_inactive)
@@ -61,6 +68,7 @@ contains
            "description", "Number of generations per batch")
     end if
 
+    call write_nuclides(file_id)
     call write_geometry(file_id)
     call write_materials(file_id)
     if (n_tallies > 0) then
@@ -98,6 +106,49 @@ contains
 
   end subroutine write_header
 
+!===============================================================================
+! WRITE_NUCLIDES
+!===============================================================================
+
+  subroutine write_nuclides(file_id)
+    integer(HID_T), intent(in) :: file_id
+    integer(HID_T) :: nuclide_group
+    integer :: i
+    character(12), allocatable :: nucnames(:)
+    real(8), allocatable :: awrs(:)
+    integer, allocatable :: zaids(:)
+
+    ! Write useful data from nuclide objects
+    nuclide_group = create_group(file_id, "nuclides")
+    call write_dataset(nuclide_group, "n_nuclides_total", n_nuclides_total)
+
+    ! Build array of nuclide names, awrs, and zaids
+    allocate(nucnames(n_nuclides_total))
+    allocate(awrs(n_nuclides_total))
+    allocate(zaids(n_nuclides_total))
+    do i = 1, n_nuclides_total
+      if (run_CE) then
+        nucnames(i) = xs_listings(nuclides(i) % listing) % alias
+        awrs(i)     = nuclides(i) % awr
+        zaids(i)    = nuclides(i) % zaid
+      else
+        nucnames(i) = xs_listings(nuclides_MG(i) % obj % listing) % alias
+        awrs(i)     = nuclides_MG(i) % obj % awr
+        zaids(i)    = nuclides_MG(i) % obj % zaid
+      end if
+    end do
+
+    ! Write nuclide names, awrs and zaids
+    call write_dataset(nuclide_group, "names", nucnames)
+    call write_dataset(nuclide_group, "awrs", awrs)
+    call write_dataset(nuclide_group, "zaids", zaids)
+
+    call close_group(nuclide_group)
+
+    deallocate(nucnames, awrs, zaids)
+
+  end subroutine write_nuclides
+
 !===============================================================================
 ! WRITE_GEOMETRY
 !===============================================================================
@@ -107,13 +158,15 @@ contains
 
     integer          :: i, j, k, m
     integer, allocatable :: lattice_universes(:,:,:)
+    integer, allocatable :: cell_materials(:)
+    real(8), allocatable :: cell_temperatures(:)
     integer(HID_T) :: geom_group
     integer(HID_T) :: cells_group, cell_group
     integer(HID_T) :: surfaces_group, surface_group
     integer(HID_T) :: universes_group, univ_group
     integer(HID_T) :: lattices_group, lattice_group
     real(8), allocatable :: coeffs(:)
-    character(MAX_LINE_LEN) :: region_spec
+    character(REGION_SPEC_LEN) :: region_spec
     type(Cell),     pointer :: c
     class(Surface), pointer :: s
     type(Universe), pointer :: u
@@ -150,17 +203,40 @@ contains
       select case (c%type)
       case (CELL_NORMAL)
         call write_dataset(cell_group, "fill_type", "normal")
-        if (c%material == MATERIAL_VOID) then
-          call write_dataset(cell_group, "material", -1)
+
+        if (size(c % material) == 1) then
+          if (c % material(1) == MATERIAL_VOID) then
+            call write_dataset(cell_group, "material", MATERIAL_VOID)
+          else
+            call write_dataset(cell_group, "material", &
+                 materials(c % material(1)) % id)
+          end if
         else
-          call write_dataset(cell_group, "material", materials(c%material)%id)
+          allocate(cell_materials(size(c % material)))
+          do j = 1, size(c % material)
+            if (c % material(j) == MATERIAL_VOID) then
+              cell_materials(j) = MATERIAL_VOID
+            else
+              cell_materials(j) = materials(c % material(j)) % id
+            end if
+          end do
+          call write_dataset(cell_group, "material", cell_materials)
+          deallocate(cell_materials)
         end if
 
+        allocate(cell_temperatures(size(c % sqrtkT)))
+        cell_temperatures(:) = c % sqrtkT(:)
+        cell_temperatures(:) = cell_temperatures(:)**2 / K_BOLTZMANN
+        call write_dataset(cell_group, "temperature", cell_temperatures)
+        deallocate(cell_temperatures)
+
       case (CELL_FILL)
         call write_dataset(cell_group, "fill_type", "universe")
         call write_dataset(cell_group, "fill", universes(c%fill)%id)
-        if (size(c%offset) > 0) then
-          call write_dataset(cell_group, "offset", c%offset)
+        if (allocated(c%offset)) then
+          if (size(c%offset) > 0) then
+            call write_dataset(cell_group, "offset", c%offset)
+          end if
         end if
 
         if (allocated(c%translation)) then
@@ -196,6 +272,8 @@ contains
       end do
       call write_dataset(cell_group, "region", adjustl(region_spec))
 
+      call write_dataset(cell_group, "distribcell_index", c % distribcell_index)
+
       call close_group(cell_group)
     end do CELL_LOOP
 
@@ -345,8 +423,10 @@ contains
       call write_dataset(lattice_group, "outer", lat%outer)
 
       ! Write distribcell offsets if present
-      if (size(lat%offset) > 0) then
-        call write_dataset(lattice_group, "offsets", lat%offset)
+      if (allocated(lat%offset)) then
+        if (size(lat%offset) > 0) then
+          call write_dataset(lattice_group, "offsets", lat%offset)
+        end if
       end if
 
       select type (lat)
@@ -355,16 +435,22 @@ contains
         call write_dataset(lattice_group, "type", "rectangular")
 
         ! Write lattice dimensions, lower left corner, and pitch
-        call write_dataset(lattice_group, "dimension", lat%n_cells)
-        call write_dataset(lattice_group, "lower_left", lat%lower_left)
+        if (lat % is_3d) then
+          call write_dataset(lattice_group, "dimension", lat % n_cells)
+          call write_dataset(lattice_group, "lower_left", lat % lower_left)
+        else
+          call write_dataset(lattice_group, "dimension", lat % n_cells(1:2))
+          call write_dataset(lattice_group, "lower_left", lat % lower_left)
+        end if
 
         ! Write lattice universes.
         allocate(lattice_universes(lat%n_cells(1), lat%n_cells(2), &
              &lat%n_cells(3)))
         do j = 1, lat%n_cells(1)
-          do k = 1, lat%n_cells(2)
+          do k = 0, lat%n_cells(2) - 1
             do m = 1, lat%n_cells(3)
-              lattice_universes(j,k,m) = universes(lat%universes(j,k,m))%id
+              lattice_universes(j, k+1, m) = &
+                   universes(lat%universes(j, lat%n_cells(2) - k, m))%id
             end do
           end do
         end do
@@ -453,7 +539,11 @@ contains
       ! Copy ZAID for each nuclide to temporary array
       allocate(nucnames(m%n_nuclides))
       do j = 1, m%n_nuclides
-        i_list = nuclides(m%nuclide(j))%listing
+        if (run_CE) then
+          i_list = nuclides(m%nuclide(j))%listing
+        else
+          i_list = nuclides_MG(m%nuclide(j))%obj%listing
+        end if
         nucnames(j) = xs_listings(i_list)%alias
       end do
 
@@ -484,8 +574,10 @@ contains
   subroutine write_tallies(file_id)
     integer(HID_T), intent(in) :: file_id
 
-    integer :: i, j
+    integer :: i, j, k
     integer :: i_list, i_xs
+    integer :: n_order      ! loop index for moment orders
+    integer :: nm_order     ! loop index for Ynm moment orders
     integer(HID_T) :: tallies_group
     integer(HID_T) :: mesh_group
     integer(HID_T) :: tally_group
@@ -494,6 +586,10 @@ contains
     type(RegularMesh), pointer :: m
     type(TallyObject), pointer :: t
 
+    integer                              :: offset   ! distibcell offset
+    character(MAX_LINE_LEN), allocatable :: paths(:) ! distribcell paths array
+    character(MAX_LINE_LEN)              :: path     ! distribcell path
+
     tallies_group = create_group(file_id, "tallies")
 
     ! Write total number of meshes
@@ -536,22 +632,40 @@ contains
       ! Write number of filters
       call write_dataset(tally_group, "n_filters", t%n_filters)
 
-      FILTER_LOOP: do j = 1, t%n_filters
+      FILTER_LOOP: do j = 1, t % n_filters
         filter_group = create_group(tally_group, "filter " // trim(to_str(j)))
 
         ! Write number of bins for this filter
-        call write_dataset(filter_group, "offset", t%filters(j)%offset)
-        call write_dataset(filter_group, "n_bins", t%filters(j)%n_bins)
+        call write_dataset(filter_group, "n_bins", t % filters(j) % n_bins)
 
         ! Write filter bins
-        if (t%filters(j)%type == FILTER_ENERGYIN .or. &
-             t%filters(j)%type == FILTER_ENERGYOUT .or. &
-             t%filters(j)%type == FILTER_MU .or. &
-             t%filters(j)%type == FILTER_POLAR .or. &
-             t%filters(j)%type == FILTER_AZIMUTHAL) then
-          call write_dataset(filter_group, "bins", t%filters(j)%real_bins)
+        if (t % filters(j) % type == FILTER_ENERGYIN .or. &
+             t % filters(j)% type == FILTER_ENERGYOUT .or. &
+             t % filters(j) % type == FILTER_MU .or. &
+             t % filters(j) % type == FILTER_POLAR .or. &
+             t % filters(j) % type == FILTER_AZIMUTHAL) then
+          call write_dataset(filter_group, "bins", t % filters(j) % real_bins)
         else
-          call write_dataset(filter_group, "bins", t%filters(j)%int_bins)
+          call write_dataset(filter_group, "bins", t % filters(j) % int_bins)
+        end if
+
+        ! Write paths to reach each distribcell instance
+        if (t % filters(j) % type == FILTER_DISTRIBCELL) then
+          ! Allocate array of strings for each distribcell path
+          allocate(paths(t % filters(j) % n_bins))
+
+          ! Store path for each distribcell instance
+          do k = 1, t % filters(j) % n_bins
+            path = ''
+            offset = 1
+            call find_offset(t % filters(j) % int_bins(1), &
+                 universes(BASE_UNIVERSE), k, offset, path)
+            paths(k) = path
+          end do
+
+          ! Write array of distribcell paths to summary file
+          call write_dataset(filter_group, "paths", paths)
+          deallocate(paths)
         end if
 
         ! Write name of type
@@ -591,7 +705,11 @@ contains
       allocate(str_array(t%n_nuclide_bins))
       NUCLIDE_LOOP: do j = 1, t%n_nuclide_bins
         if (t%nuclide_bins(j) > 0) then
-          i_list = nuclides(t%nuclide_bins(j))%listing
+          if (run_CE) then
+            i_list = nuclides(t % nuclide_bins(j)) % listing
+          else
+            i_list = nuclides_MG(t % nuclide_bins(j)) % obj % listing
+          end if
           i_xs = index(xs_listings(i_list)%alias, '.')
           if (i_xs > 0) then
             str_array(j) = xs_listings(i_list)%alias(1:i_xs - 1)
@@ -611,59 +729,43 @@ contains
       call write_dataset(tally_group, "n_score_bins", t%n_score_bins)
       allocate(str_array(size(t%score_bins)))
       do j = 1, size(t%score_bins)
-        select case(t%score_bins(j))
-        case (SCORE_FLUX)
-          str_array(j) = "flux"
-        case (SCORE_TOTAL)
-          str_array(j) = "total"
-        case (SCORE_SCATTER)
-          str_array(j) = "scatter"
-        case (SCORE_NU_SCATTER)
-          str_array(j) = "nu-scatter"
-        case (SCORE_SCATTER_N)
-          str_array(j) = "scatter-n"
-        case (SCORE_SCATTER_PN)
-          str_array(j) = "scatter-pn"
-        case (SCORE_NU_SCATTER_N)
-          str_array(j) = "nu-scatter-n"
-        case (SCORE_NU_SCATTER_PN)
-          str_array(j) = "nu-scatter-pn"
-        case (SCORE_TRANSPORT)
-          str_array(j) = "transport"
-        case (SCORE_N_1N)
-          str_array(j) = "n1n"
-        case (SCORE_ABSORPTION)
-          str_array(j) = "absorption"
-        case (SCORE_FISSION)
-          str_array(j) = "fission"
-        case (SCORE_NU_FISSION)
-          str_array(j) = "nu-fission"
-        case (SCORE_DELAYED_NU_FISSION)
-          str_array(j) = "delayed-nu-fission"
-        case (SCORE_KAPPA_FISSION)
-          str_array(j) = "kappa-fission"
-        case (SCORE_CURRENT)
-          str_array(j) = "current"
-        case (SCORE_FLUX_YN)
-          str_array(j) = "flux-yn"
-        case (SCORE_TOTAL_YN)
-          str_array(j) = "total-yn"
-        case (SCORE_SCATTER_YN)
-          str_array(j) = "scatter-yn"
-        case (SCORE_NU_SCATTER_YN)
-          str_array(j) = "nu-scatter-yn"
-        case (SCORE_EVENTS)
-          str_array(j) = "events"
-        case (SCORE_INVERSE_VELOCITY)
-          str_array(j) = "inverse-velocity"
-        case default
-          str_array(j) = reaction_name(t%score_bins(j))
-        end select
+        str_array(j) = reaction_name(t%score_bins(j))
       end do
       call write_dataset(tally_group, "score_bins", str_array)
 
       deallocate(str_array)
 
+      ! Write explicit moment order strings for each score bin
+      k = 1
+      allocate(str_array(t%n_score_bins))
+      MOMENT_LOOP: do j = 1, t%n_user_score_bins
+        select case(t%score_bins(k))
+        case (SCORE_SCATTER_N, SCORE_NU_SCATTER_N)
+          str_array(k) = 'P' // trim(to_str(t%moment_order(k)))
+          k = k + 1
+        case (SCORE_SCATTER_PN, SCORE_NU_SCATTER_PN)
+          do n_order = 0, t%moment_order(k)
+            str_array(k) = 'P' // trim(to_str(n_order))
+            k = k + 1
+          end do
+        case (SCORE_SCATTER_YN, SCORE_NU_SCATTER_YN, SCORE_FLUX_YN, &
+             SCORE_TOTAL_YN)
+          do n_order = 0, t%moment_order(k)
+            do nm_order = -n_order, n_order
+              str_array(k) = 'Y' // trim(to_str(n_order)) // ',' // &
+                   trim(to_str(nm_order))
+              k = k + 1
+            end do
+          end do
+        case default
+          str_array(k) = ''
+          k = k + 1
+        end select
+      end do MOMENT_LOOP
+
+      call write_dataset(tally_group, "moment_orders", str_array)
+      deallocate(str_array)
+
       call close_group(tally_group)
     end do TALLY_METADATA
 
@@ -671,63 +773,4 @@ contains
 
   end subroutine write_tallies
 
-!===============================================================================
-! WRITE_TIMING
-!===============================================================================
-
-  subroutine write_timing(file_id)
-    integer(HID_T), intent(in) :: file_id
-
-    integer(8)     :: total_particles
-    integer(HID_T) :: time_group
-    real(8)        :: speed
-
-    time_group = create_group(file_id, "timing")
-
-    ! Write timing data
-    call write_dataset(time_group, "time_initialize", time_initialize%elapsed)
-    call write_dataset(time_group, "time_read_xs", time_read_xs%elapsed)
-    call write_dataset(time_group, "time_transport", time_transport%elapsed)
-    call write_dataset(time_group, "time_bank", time_bank%elapsed)
-    call write_dataset(time_group, "time_bank_sample", time_bank_sample%elapsed)
-    call write_dataset(time_group, "time_bank_sendrecv", time_bank_sendrecv%elapsed)
-    call write_dataset(time_group, "time_tallies", time_tallies%elapsed)
-    call write_dataset(time_group, "time_inactive", time_inactive%elapsed)
-    call write_dataset(time_group, "time_active", time_active%elapsed)
-    call write_dataset(time_group, "time_finalize", time_finalize%elapsed)
-    call write_dataset(time_group, "time_total", time_total%elapsed)
-
-    ! Add descriptions to timing data
-    call write_attribute_string(time_group, "time_initialize", "description", &
-         "Total time elapsed for initialization (s)")
-    call write_attribute_string(time_group, "time_read_xs", "description", &
-         "Time reading cross-section libraries (s)")
-    call write_attribute_string(time_group, "time_transport", "description", &
-         "Time in transport only (s)")
-    call write_attribute_string(time_group, "time_bank", "description", &
-         "Total time synchronizing fission bank (s)")
-    call write_attribute_string(time_group, "time_bank_sample", "description", &
-         "Time between generations sampling source sites (s)")
-    call write_attribute_string(time_group, "time_bank_sendrecv", "description", &
-         "Time between generations SEND/RECVing source sites (s)")
-    call write_attribute_string(time_group, "time_tallies", "description", &
-         "Time between batches accumulating tallies (s)")
-    call write_attribute_string(time_group, "time_inactive", "description", &
-         "Total time in inactive batches (s)")
-    call write_attribute_string(time_group, "time_active", "description", &
-         "Total time in active batches (s)")
-    call write_attribute_string(time_group, "time_finalize", "description", &
-         "Total time for finalization (s)")
-    call write_attribute_string(time_group, "time_total", "description", &
-         "Total time elapsed (s)")
-
-    ! Write calculation rate
-    total_particles = n_particles * n_batches * gen_per_batch
-    speed = real(total_particles) / (time_inactive%elapsed + &
-         time_active%elapsed)
-    call write_dataset(time_group, "neutrons_per_second", speed)
-
-    call close_group(time_group)
-  end subroutine write_timing
-
 end module summary
diff --git a/src/surface_header.F90 b/src/surface_header.F90
index 76562f4937..68e5144b7c 100644
--- a/src/surface_header.F90
+++ b/src/surface_header.F90
@@ -1,6 +1,6 @@
 module surface_header
 
-  use constants, only: ONE, TWO, ZERO, HALF, INFINITY, FP_COINCIDENT
+  use constants, only: NONE, ONE, TWO, ZERO, HALF, INFINITY, FP_COINCIDENT
 
   implicit none
 
@@ -15,38 +15,39 @@ module surface_header
          neighbor_pos(:), &           ! List of cells on positive side
          neighbor_neg(:)              ! List of cells on negative side
     integer :: bc                     ! Boundary condition
-    character(len=104) :: name = ""    ! User-defined name
+    integer :: i_periodic = NONE      ! Index of corresponding periodic surface
+    character(len=104) :: name = ""   ! User-defined name
   contains
     procedure :: sense
     procedure :: reflect
-    procedure(iEvaluate), deferred :: evaluate
-    procedure(iDistance), deferred :: distance
-    procedure(iNormal),   deferred :: normal
+    procedure(surface_evaluate_), deferred :: evaluate
+    procedure(surface_distance_), deferred :: distance
+    procedure(surface_normal_),   deferred :: normal
   end type Surface
 
   abstract interface
-    pure function iEvaluate(this, xyz) result(f)
+    pure function surface_evaluate_(this, xyz) result(f)
       import Surface
       class(Surface), intent(in) :: this
       real(8), intent(in) :: xyz(3)
       real(8) :: f
-    end function iEvaluate
+    end function surface_evaluate_
 
-    pure function iDistance(this, xyz, uvw, coincident) result(d)
+    pure function surface_distance_(this, xyz, uvw, coincident) result(d)
       import Surface
       class(Surface), intent(in) :: this
       real(8), intent(in) :: xyz(3)
       real(8), intent(in) :: uvw(3)
       logical, intent(in) :: coincident
       real(8) :: d
-    end function iDistance
+    end function surface_distance_
 
-    pure function iNormal(this, xyz) result(uvw)
+    pure function surface_normal_(this, xyz) result(uvw)
       import Surface
       class(Surface), intent(in) :: this
       real(8), intent(in) :: xyz(3)
       real(8) :: uvw(3)
-    end function iNormal
+    end function surface_normal_
   end interface
 
 !===============================================================================
diff --git a/src/tally.F90 b/src/tally.F90
index 09e30a2426..b40a39ce0c 100644
--- a/src/tally.F90
+++ b/src/tally.F90
@@ -1,7 +1,7 @@
 module tally
 
-  use ace_header,       only: Reaction
   use constants
+  use endf_header,      only: Constant1D
   use error,            only: fatal_error
   use geometry_header
   use global
@@ -15,8 +15,6 @@ module tally
   use search,           only: binary_search
   use string,           only: to_str
   use tally_header,     only: TallyResult, TallyMapItem, TallyMapElement
-  use fission,          only: nu_total, nu_delayed, yield_delayed
-  use interpolation,    only: interpolate_tab1
 
 #ifdef MPI
   use message_passing
@@ -25,17 +23,66 @@ module tally
   implicit none
 
   integer :: position(N_FILTER_TYPES - 3) = 0 ! Tally map positioning array
+
 !$omp threadprivate(position)
 
+  procedure(score_general_),      pointer :: score_general => null()
+  procedure(score_analog_tally_), pointer :: score_analog_tally => null()
+  procedure(get_scoring_bins_),   pointer :: get_scoring_bins => null()
+
+  abstract interface
+    subroutine score_general_(p, t, start_index, filter_index, i_nuclide, &
+                              atom_density, flux)
+      import Particle
+      import TallyObject
+      type(Particle),    intent(in)    :: p
+      type(TallyObject), intent(inout) :: t
+      integer,            intent(in)   :: start_index
+      integer,            intent(in)   :: i_nuclide
+      integer,            intent(in)   :: filter_index   ! for % results
+      real(8),            intent(in)   :: flux           ! flux estimate
+      real(8),            intent(in)   :: atom_density   ! atom/b-cm
+    end subroutine score_general_
+
+    subroutine score_analog_tally_(p)
+      import Particle
+      type(Particle), intent(in) :: p
+    end subroutine score_analog_tally_
+
+    subroutine get_scoring_bins_(p, i_tally, found_bin)
+      import Particle
+      type(Particle), intent(in)  :: p
+      integer,        intent(in)  :: i_tally
+      logical,        intent(out) :: found_bin
+    end subroutine get_scoring_bins_
+  end interface
+
 contains
 
 !===============================================================================
-! SCORE_GENERAL adds scores to the tally array for the given filter and nuclide.
-! This will work for either analog or tracklength tallies.  Note that
+! INIT_TALLY_ROUTINES Sets the procedure pointers needed for minimizing code
+! with the CE and MG modes.
+!===============================================================================
+
+  subroutine init_tally_routines()
+    if (run_CE) then
+      score_general      => score_general_ce
+      score_analog_tally => score_analog_tally_ce
+      get_scoring_bins   => get_scoring_bins_ce
+    else
+      score_general      => score_general_mg
+      score_analog_tally => score_analog_tally_mg
+      get_scoring_bins   => get_scoring_bins_mg
+    end if
+  end subroutine init_tally_routines
+
+!===============================================================================
+! SCORE_GENERAL* adds scores to the tally array for the given filter and
+! nuclide.  This will work for either analog or tracklength tallies.  Note that
 ! atom_density and flux are not used for analog tallies.
 !===============================================================================
 
-  subroutine score_general(p, t, start_index, filter_index, i_nuclide, &
+  subroutine score_general_ce(p, t, start_index, filter_index, i_nuclide, &
        atom_density, flux)
     type(Particle),    intent(in)    :: p
     type(TallyObject), intent(inout) :: t
@@ -48,8 +95,6 @@ contains
     integer :: i                    ! loop index for scoring bins
     integer :: l                    ! loop index for nuclides in material
     integer :: m                    ! loop index for reactions
-    integer :: n                    ! loop index for legendre order
-    integer :: num_nm               ! Number of N,M orders in harmonic
     integer :: q                    ! loop index for scoring bins
     integer :: i_nuc                ! index in nuclides array (from material)
     integer :: i_energy             ! index in nuclide energy grid
@@ -62,9 +107,6 @@ contains
     real(8) :: atom_density_        ! atom/b-cm
     real(8) :: f                    ! interpolation factor
     real(8) :: score                ! analog tally score
-    real(8) :: macro_total          ! material macro total xs
-    real(8) :: macro_scatt          ! material macro scatt xs
-    real(8) :: uvw(3)               ! particle direction
     real(8) :: E                    ! particle energy
 
     i = 0
@@ -126,7 +168,6 @@ contains
 
 
       case (SCORE_INVERSE_VELOCITY)
-
         ! make sure the correct energy is used
         if (t % estimator == ESTIMATOR_TRACKLENGTH) then
           E = p % E
@@ -208,9 +249,9 @@ contains
         ! Only analog estimators are available.
         ! Skip any event where the particle didn't scatter
         if (p % event /= EVENT_SCATTER) cycle SCORE_LOOP
-        ! For scattering production, we need to use the pre-collision
-        ! weight times the multiplicity as the estimate for the number of
-        ! neutrons exiting a reaction with neutrons in the exit channel
+        ! For scattering production, we need to use the pre-collision weight
+        ! times the yield as the estimate for the number of neutrons exiting a
+        ! reaction with neutrons in the exit channel
         if (p % event_MT == ELASTIC .or. p % event_MT == N_LEVEL .or. &
              (p % event_MT >= N_N1 .and. p % event_MT <= N_NC)) then
           ! Don't waste time on very common reactions we know have multiplicities
@@ -220,16 +261,17 @@ contains
           m = nuclides(p%event_nuclide)%reaction_index% &
                get_key(p % event_MT)
 
-          ! Get multiplicity and apply to score
+          ! Get yield and apply to score
           associate (rxn => nuclides(p%event_nuclide)%reactions(m))
-            if (rxn % multiplicity_with_E) then
-              ! Then the multiplicity was already incorporated in to p % wgt
-              ! per the scattering routine,
+            select type (yield => rxn % products(1) % yield)
+            type is (Constant1D)
+              ! Grab the yield from the reaction
+              score = p % last_wgt * yield % y
+            class default
+              ! the yield was already incorporated in to p % wgt per the
+              ! scattering routine
               score = p % wgt
-            else
-              ! Grab the multiplicity from the rxn
-              score = p % last_wgt * rxn % multiplicity
-            end if
+            end select
           end associate
         end if
 
@@ -242,7 +284,7 @@ contains
           cycle SCORE_LOOP
         end if
         ! For scattering production, we need to use the pre-collision
-        ! weight times the multiplicity as the estimate for the number of
+        ! weight times the yield as the estimate for the number of
         ! neutrons exiting a reaction with neutrons in the exit channel
         if (p % event_MT == ELASTIC .or. p % event_MT == N_LEVEL .or. &
              (p % event_MT >= N_N1 .and. p % event_MT <= N_NC)) then
@@ -253,16 +295,17 @@ contains
           m = nuclides(p%event_nuclide)%reaction_index% &
                get_key(p % event_MT)
 
-          ! Get multiplicity and apply to score
+          ! Get yield and apply to score
           associate (rxn => nuclides(p%event_nuclide)%reactions(m))
-            if (rxn % multiplicity_with_E) then
-              ! Then the multiplicity was already incorporated in to p % wgt
-              ! per the scattering routine,
+            select type (yield => rxn % products(1) % yield)
+            type is (Constant1D)
+              ! Grab the yield from the reaction
+              score = p % last_wgt * yield % y
+            class default
+              ! the yield was already incorporated in to p % wgt per the
+              ! scattering routine
               score = p % wgt
-            else
-              ! Grab the multiplicity from the rxn
-              score = p % last_wgt * rxn % multiplicity
-            end if
+            end select
           end associate
         end if
 
@@ -275,7 +318,7 @@ contains
           cycle SCORE_LOOP
         end if
         ! For scattering production, we need to use the pre-collision
-        ! weight times the multiplicity as the estimate for the number of
+        ! weight times the yield as the estimate for the number of
         ! neutrons exiting a reaction with neutrons in the exit channel
         if (p % event_MT == ELASTIC .or. p % event_MT == N_LEVEL .or. &
              (p % event_MT >= N_N1 .and. p % event_MT <= N_NC)) then
@@ -286,44 +329,21 @@ contains
           m = nuclides(p%event_nuclide)%reaction_index% &
                get_key(p % event_MT)
 
-          ! Get multiplicity and apply to score
+          ! Get yield and apply to score
           associate (rxn => nuclides(p%event_nuclide)%reactions(m))
-            if (rxn % multiplicity_with_E) then
-              ! Then the multiplicity was already incorporated in to p % wgt
-              ! per the scattering routine,
+            select type (yield => rxn % products(1) % yield)
+            type is (Constant1D)
+              ! Grab the yield from the reaction
+              score = p % last_wgt * yield % y
+            class default
+              ! the yield was already incorporated in to p % wgt per the
+              ! scattering routine
               score = p % wgt
-            else
-              ! Grab the multiplicity from the rxn
-              score = p % last_wgt * rxn % multiplicity
-            end if
+            end select
           end associate
         end if
 
 
-      case (SCORE_TRANSPORT)
-        ! Only analog estimators are available.
-        ! Skip any event where the particle didn't scatter
-        if (p % event /= EVENT_SCATTER) cycle SCORE_LOOP
-        ! get material macros
-        macro_total = material_xs % total
-        macro_scatt = material_xs % total - material_xs % absorption
-        ! Score total rate - p1 scatter rate Note estimator needs to be
-        ! adjusted since tallying is only occuring when a scatter has
-        ! happened. Effectively this means multiplying the estimator by
-        ! total/scatter macro
-        score = (macro_total - p % mu * macro_scatt) * (ONE / macro_scatt)
-
-
-      case (SCORE_N_1N)
-        ! Only analog estimators are available.
-        ! Skip any event where the particle didn't scatter
-        if (p % event /= EVENT_SCATTER) cycle SCORE_LOOP
-        ! Skip any events where weight of particle changed
-        if (p % wgt /= p % last_wgt) cycle SCORE_LOOP
-        ! All events that reach this point are (n,1n) reactions
-        score = p % last_wgt
-
-
       case (SCORE_ABSORPTION)
         if (t % estimator == ESTIMATOR_ANALOG) then
           if (survival_biasing) then
@@ -387,7 +407,7 @@ contains
               ! neutrons were emitted with different energies, multiple
               ! outgoing energy bins may have been scored to. The following
               ! logic treats this special case and results to multiple bins
-              call score_fission_eout(p, t, score_index)
+              call score_fission_eout_ce(p, t, score_index)
               cycle SCORE_LOOP
             end if
           end if
@@ -462,12 +482,11 @@ contains
                   d = t % filters(dg_filter) % int_bins(d_bin)
 
                   ! Compute the yield for this delayed group
-                  yield = yield_delayed(nuclides(p % event_nuclide), E, d)
+                  yield = nuclides(p % event_nuclide) % nu(E, EMISSION_DELAYED, d)
 
                   ! Compute the score and tally to bin
                   score = p % absorb_wgt * yield * micro_xs(p % event_nuclide) &
-                       % fission * nu_delayed(nuclides(p % event_nuclide), E) / &
-                       micro_xs(p % event_nuclide) % absorption
+                       % fission / micro_xs(p % event_nuclide) % absorption
                   call score_fission_delayed_dg(t, d_bin, score, score_index)
                 end do
                 cycle SCORE_LOOP
@@ -475,9 +494,9 @@ contains
                 ! If the delayed group filter is not present, compute the score
                 ! by multiplying the absorbed weight by the fraction of the
                 ! delayed-nu-fission xs to the absorption xs
-                score = p % absorb_wgt * micro_xs(p % event_nuclide) &
-                     % fission * nu_delayed(nuclides(p % event_nuclide), E) / &
-                     micro_xs(p % event_nuclide) % absorption
+                score = p % absorb_wgt * micro_xs(p % event_nuclide) % fission &
+                     * nuclides(p % event_nuclide) % nu(E, EMISSION_DELAYED) &
+                     / micro_xs(p % event_nuclide) % absorption
               end if
             end if
           else
@@ -527,11 +546,11 @@ contains
                 d = t % filters(dg_filter) % int_bins(d_bin)
 
                 ! Compute the yield for this delayed group
-                yield = yield_delayed(nuclides(i_nuclide), E, d)
+                yield = nuclides(i_nuclide) % nu(E, EMISSION_DELAYED, d)
 
                 ! Compute the score and tally to bin
-                score = micro_xs(i_nuclide) % fission * yield &
-                     * nu_delayed(nuclides(i_nuclide), E) * atom_density * flux
+                score = micro_xs(i_nuclide) % fission * yield * &
+                     atom_density * flux
                 call score_fission_delayed_dg(t, d_bin, score, score_index)
               end do
               cycle SCORE_LOOP
@@ -539,8 +558,8 @@ contains
 
               ! If the delayed group filter is not present, compute the score
               ! by multiplying the delayed-nu-fission macro xs by the flux
-              score = micro_xs(i_nuclide) % fission * &
-                   nu_delayed(nuclides(i_nuclide), E) * atom_density * flux
+              score = micro_xs(i_nuclide) % fission * nuclides(i_nuclide) % &
+                   nu(E, EMISSION_DELAYED) * atom_density * flux
             end if
 
           ! Tally is on total nuclides
@@ -565,11 +584,10 @@ contains
                   d = t % filters(dg_filter) % int_bins(d_bin)
 
                   ! Get the yield for the desired nuclide and delayed group
-                  yield = yield_delayed(nuclides(i_nuc), E, d)
+                  yield = nuclides(i_nuc) % nu(E, EMISSION_DELAYED, d)
 
                   ! Compute the score and tally to bin
-                  score = micro_xs(i_nuc) % fission * yield &
-                       * nu_delayed(nuclides(i_nuc), E) * atom_density_ * flux
+                  score = micro_xs(i_nuc) % fission * yield * atom_density_ * flux
                   call score_fission_delayed_dg(t, d_bin, score, score_index)
                 end do
               end do
@@ -588,8 +606,8 @@ contains
                 i_nuc = materials(p % material) % nuclide(l)
 
                 ! Accumulate the contribution from each nuclide
-                score = score + micro_xs(i_nuc) % fission &
-                     * nu_delayed(nuclides(i_nuc), E) * atom_density_ * flux
+                score = score + micro_xs(i_nuc) % fission * nuclides(i_nuc) % &
+                     nu(E, EMISSION_DELAYED) * atom_density_ * flux
               end do
             end if
           end if
@@ -740,106 +758,523 @@ contains
           end if
         end if
 
+      end select
+
+      !#########################################################################
+      ! Expand score if necessary and add to tally results.
+      call expand_and_score(p, t, score_index, filter_index, score_bin, &
+                            score, i)
+
+    end do SCORE_LOOP
+  end subroutine score_general_ce
+
+  subroutine score_general_mg(p, t, start_index, filter_index, i_nuclide, &
+       atom_density, flux)
+    type(Particle),    intent(in)    :: p
+    type(TallyObject), intent(inout) :: t
+    integer,           intent(in)    :: start_index
+    integer,           intent(in)    :: i_nuclide
+    integer,           intent(in)    :: filter_index   ! for % results
+    real(8),           intent(in)    :: flux           ! flux estimate
+    real(8),           intent(in)    :: atom_density   ! atom/b-cm
+
+    integer :: i                    ! loop index for scoring bins
+    integer :: q                    ! loop index for scoring bins
+    integer :: score_bin            ! scoring bin, e.g. SCORE_FLUX
+    integer :: score_index          ! scoring bin index
+    real(8) :: score                ! analog tally score
+    real(8) :: p_uvw(3)             ! Particle's current uvw
+    integer :: p_g                  ! Particle group to use for getting info
+                                    ! to tally with.
+    class(Mgxs), pointer :: matxs
+    class(Mgxs), pointer :: nucxs
+
+    ! Set the direction and group to use with get_xs
+    ! this only depends on if we
+    if (t % estimator == ESTIMATOR_ANALOG .or. &
+         t % estimator == ESTIMATOR_COLLISION) then
+      if (survival_biasing) then
+        ! Then we either are alive and had a scatter (and so g changed),
+        ! or are dead and g did not change
+        if (p % alive) then
+          p_uvw = p % last_uvw
+          p_g = p % last_g
+        else
+          p_uvw = p % coord(p % n_coord) % uvw
+          p_g = p % g
+        end if
+      else if (p % event == EVENT_SCATTER) then
+        ! Then the energy group has been changed by the scattering routine
+        ! meaning gin is now in p % last_g
+        p_uvw = p % last_uvw
+        p_g = p % last_g
+      else
+        ! No scatter, no change in g.
+        p_uvw = p % coord(p % n_coord) % uvw
+        p_g = p % g
+      end if
+    else
+      ! No actual collision so g has not changed.
+      p_uvw = p % coord(p % n_coord) % uvw
+      p_g = p % g
+    end if
+
+    ! To significantly reduce de-referencing, point matxs to the
+    ! macroscopic Mgxs for the material of interest
+    matxs => macro_xs(p % material) % obj
+    ! Do same for nucxs, point it to the microscopic nuclide data of interest
+    if (i_nuclide > 0) then
+      nucxs => nuclides_MG(i_nuclide) % obj
+    end if
+
+    i = 0
+    SCORE_LOOP: do q = 1, t % n_user_score_bins
+      i = i + 1
+
+      ! determine what type of score bin
+      score_bin = t % score_bins(i)
+
+      ! determine scoring bin index
+      score_index = start_index + i
+
+      !#########################################################################
+      ! Determine appropirate scoring value.
+
+      select case(score_bin)
+
+
+      case (SCORE_FLUX, SCORE_FLUX_YN)
+        if (t % estimator == ESTIMATOR_ANALOG) then
+          ! All events score to a flux bin. We actually use a collision
+          ! estimator in place of an analog one since there is no way to count
+          ! 'events' exactly for the flux
+          if (survival_biasing) then
+            ! We need to account for the fact that some weight was already
+            ! absorbed
+            score = p % last_wgt + p % absorb_wgt
+          else
+            score = p % last_wgt
+          end if
+          score = score / material_xs % total
+
+        else
+          ! For flux, we need no cross section
+          score = flux
+        end if
+
+
+      case (SCORE_TOTAL, SCORE_TOTAL_YN)
+        if (t % estimator == ESTIMATOR_ANALOG) then
+          ! All events will score to the total reaction rate. We can just
+          ! use the weight of the particle entering the collision as the
+          ! score
+          if (survival_biasing) then
+            ! We need to account for the fact that some weight was already
+            ! absorbed
+            score = p % last_wgt + p % absorb_wgt
+          else
+            score = p % last_wgt
+          end if
+          if (i_nuclide > 0) then
+            score = score * atom_density * &
+                 nucxs % get_xs('total', p_g, UVW=p_uvw) / &
+                 matxs % get_xs('total', p_g, UVW=p_uvw)
+          end if
+
+        else
+          if (i_nuclide > 0) then
+            score = nucxs % get_xs('total', p_g, UVW=p_uvw) * &
+                 atom_density * flux
+          else
+            score = material_xs % total * flux
+          end if
+        end if
+
+
+      case (SCORE_INVERSE_VELOCITY)
+        if (t % estimator == ESTIMATOR_ANALOG .or. &
+             t % estimator == ESTIMATOR_COLLISION) then
+          ! All events score to an inverse velocity bin. We actually use a
+          ! collision estimator in place of an analog one since there is no way
+          ! to count 'events' exactly for the inverse velocity
+          if (survival_biasing) then
+            ! We need to account for the fact that some weight was already
+            ! absorbed
+            score = p % last_wgt + p % absorb_wgt
+          else
+            score = p % last_wgt
+          end if
+          score = score * inverse_velocities(p_g) / material_xs % total
+
+        else
+          ! For inverse velocity, we need no cross section
+          score = flux * inverse_velocities(p_g)
+        end if
+
+
+      case (SCORE_SCATTER, SCORE_SCATTER_N, SCORE_SCATTER_PN, SCORE_SCATTER_YN)
+        if (t % estimator == ESTIMATOR_ANALOG) then
+          ! Skip any event where the particle didn't scatter
+          if (p % event /= EVENT_SCATTER) then
+            if (score_bin == SCORE_SCATTER_PN) then
+              i = i + t % moment_order(i)
+            else if (score_bin == SCORE_SCATTER_YN) then
+              i = i + (t % moment_order(i) + 1)**2 - 1
+            end if
+            cycle SCORE_LOOP
+          end if
+
+          ! Since only scattering events make it here, again we can use
+          ! the weight entering the collision as the estimator for the
+          ! reaction rate
+          score = p % last_wgt
+
+          ! Since we transport based on material data, the angle selected
+          ! was not selected from the f(mu) for the nuclide.  Therefore
+          ! adjust the score by the actual probability for that nuclide.
+          if (i_nuclide > 0) then
+            score = score * atom_density * &
+                 nucxs % get_xs('scatter*f_mu/mult', p % last_g, p % g, &
+                                UVW=p_uvw, MU=p % mu) / &
+                 matxs % get_xs('scatter*f_mu/mult', p % last_g, p % g, &
+                                UVW=p_uvw, MU=p % mu)
+          end if
+
+        else
+          ! Note SCORE_SCATTER_*N not available for tracklength/collision.
+          if (i_nuclide > 0) then
+            score = atom_density * flux * &
+                 nucxs % get_xs('scatter/mult', p_g, UVW=p_uvw)
+          else
+            ! Get the scattering x/s and take away
+            ! the multiplication baked in to sigS
+            score = flux * &
+                 matxs % get_xs('scatter/mult', p_g, UVW=p_uvw)
+          end if
+        end if
+
+
+      case (SCORE_NU_SCATTER, SCORE_NU_SCATTER_N, SCORE_NU_SCATTER_PN, &
+            SCORE_NU_SCATTER_YN)
+        if (t % estimator == ESTIMATOR_ANALOG) then
+          ! Skip any event where the particle didn't scatter
+          if (p % event /= EVENT_SCATTER) then
+            if (score_bin == SCORE_NU_SCATTER_PN) then
+              i = i + t % moment_order(i)
+            else if (score_bin == SCORE_NU_SCATTER_YN) then
+              i = i + (t % moment_order(i) + 1)**2 - 1
+            end if
+            cycle SCORE_LOOP
+          end if
+
+          ! For scattering production, we need to use the pre-collision
+          ! weight times the multiplicity as the estimate for the number of
+          ! neutrons exiting a reaction with neutrons in the exit channel
+          score = p % wgt
+
+          ! Since we transport based on material data, the angle selected
+          ! was not selected from the f(mu) for the nuclide.  Therefore
+          ! adjust the score by the actual probability for that nuclide.
+          if (i_nuclide > 0) then
+            score = score * atom_density * &
+                 nucxs % get_xs('scatter*f_mu', p % last_g, p % g, &
+                                UVW=p_uvw, MU=p % mu) / &
+                 matxs % get_xs('scatter*f_mu', p % last_g, p % g, &
+                                UVW=p_uvw, MU=p % mu)
+          end if
+
+        else
+          ! Note SCORE_NU_SCATTER_*N not available for tracklength/collision.
+          if (i_nuclide > 0) then
+              score = nucxs % get_xs('scatter', p_g, UVW=p_uvw) * &
+                   atom_density * flux
+          else
+            ! Get the scattering x/s, which includes multiplication
+            score = matxs % get_xs('scatter', p_g, UVW=p_uvw) * flux
+          end if
+        end if
+
+
+      case (SCORE_ABSORPTION)
+        if (t % estimator == ESTIMATOR_ANALOG) then
+          if (survival_biasing) then
+            ! No absorption events actually occur if survival biasing is on --
+            ! just use weight absorbed in survival biasing
+            score = p % absorb_wgt
+          else
+            ! Skip any event where the particle wasn't absorbed
+            if (p % event == EVENT_SCATTER) cycle SCORE_LOOP
+            ! All fission and absorption events will contribute here, so we
+            ! can just use the particle's weight entering the collision
+            score = p % last_wgt
+          end if
+          if (i_nuclide > 0) then
+            score = score * atom_density * &
+                 nucxs % get_xs('absorption', p_g, UVW=p_uvw) / &
+                 matxs % get_xs('absorption', p_g, UVW=p_uvw)
+          end if
+        else
+          if (i_nuclide > 0) then
+            score = nucxs % get_xs('absorption', p_g, UVW=p_uvw) * &
+                 atom_density * flux
+          else
+            score = material_xs % absorption * flux
+          end if
+        end if
+
+
+      case (SCORE_FISSION)
+        if (t % estimator == ESTIMATOR_ANALOG) then
+          if (survival_biasing) then
+            ! No fission events occur if survival biasing is on -- need to
+            ! calculate fraction of absorptions that would have resulted in
+            ! fission
+            score = p % absorb_wgt
+          else
+            ! Skip any non-absorption events
+            if (p % event == EVENT_SCATTER) cycle SCORE_LOOP
+            ! All fission events will contribute, so again we can use
+            ! particle's weight entering the collision as the estimate for the
+            ! fission reaction rate
+            score = p % last_wgt
+          end if
+          if (i_nuclide > 0) then
+              score = score * atom_density * &
+                   nucxs % get_xs('fission', p_g, UVW=p_uvw) / &
+                   matxs % get_xs('absorption', p_g, UVW=p_uvw)
+            else
+              score = score * &
+                   matxs % get_xs('fission', p_g, UVW=p_uvw) / &
+                   matxs % get_xs('absorption', p_g, UVW=p_uvw)
+            end if
+        else
+          if (i_nuclide > 0) then
+            score = nucxs % get_xs('fission', p_g, UVW=p_uvw) * &
+                 atom_density * flux
+          else
+            score = flux * material_xs % fission
+
+          end if
+        end if
+
+
+      case (SCORE_NU_FISSION)
+        if (t % estimator == ESTIMATOR_ANALOG) then
+          if (survival_biasing .or. p % fission) then
+            if (t % find_filter(FILTER_ENERGYOUT) > 0) then
+              ! Normally, we only need to make contributions to one scoring
+              ! bin. However, in the case of fission, since multiple fission
+              ! neutrons were emitted with different energies, multiple
+              ! outgoing energy bins may have been scored to. The following
+              ! logic treats this special case and results to multiple bins
+              call score_fission_eout_mg(p, t, score_index, i_nuclide, &
+                                         atom_density)
+              cycle SCORE_LOOP
+            end if
+          end if
+          if (survival_biasing) then
+            ! No fission events occur if survival biasing is on -- need to
+            ! calculate fraction of absorptions that would have resulted in
+            ! nu-fission
+            score = p % absorb_wgt
+            if (i_nuclide > 0) then
+              score = score * atom_density * &
+                   nucxs % get_xs('nu_fission', p_g, UVW=p_uvw) / &
+                   matxs % get_xs('absorption', p_g, UVW=p_uvw)
+            else
+              score = score * &
+                   matxs % get_xs('nu_fission', p_g, UVW=p_uvw) / &
+                   matxs % get_xs('absorption', p_g, UVW=p_uvw)
+            end if
+          else
+            ! Skip any non-fission events
+            if (.not. p % fission) cycle SCORE_LOOP
+            ! If there is no outgoing energy filter, than we only need to
+            ! score to one bin. For the score to be 'analog', we need to
+            ! score the number of particles that were banked in the fission
+            ! bank. Since this was weighted by 1/keff, we multiply by keff
+            ! to get the proper score.
+            score = keff * p % wgt_bank
+            if (i_nuclide > 0) then
+              score = score * atom_density * &
+                   nucxs % get_xs('fission', p_g, UVW=p_uvw) / &
+                   matxs % get_xs('fission', p_g, UVW=p_uvw)
+            end if
+          end if
+
+        else
+          if (i_nuclide > 0) then
+            score = nucxs % get_xs('nu_fission', p_g, UVW=p_uvw) * &
+                 atom_density * flux
+          else
+            score = material_xs % nu_fission * flux
+          end if
+        end if
+
+
+      case (SCORE_KAPPA_FISSION)
+        if (t % estimator == ESTIMATOR_ANALOG) then
+          if (survival_biasing) then
+            ! No fission events occur if survival biasing is on -- need to
+            ! calculate fraction of absorptions that would have resulted in
+            ! fission
+            score = p % absorb_wgt
+          else
+            ! Skip any non-absorption events
+            if (p % event == EVENT_SCATTER) cycle SCORE_LOOP
+            ! All fission events will contribute, so again we can use
+            ! particle's weight entering the collision as the estimate for the
+            ! fission reaction rate
+            score = p % last_wgt
+          end if
+          if (i_nuclide > 0) then
+            score = score * atom_density * &
+                 nucxs % get_xs('kappa_fission', p_g, UVW=p_uvw) / &
+                 matxs % get_xs('absorption', p_g, UVW=p_uvw)
+          else
+            score = score * &
+                 matxs % get_xs('kappa_fission', p_g, UVW=p_uvw) / &
+                 matxs % get_xs('absorption', p_g, UVW=p_uvw)
+          end if
+        else
+          if (i_nuclide > 0) then
+            score = flux * atom_density * &
+                 nucxs % get_xs('kappa_fission', p_g, UVW=p_uvw)
+          else
+            score = flux * matxs % get_xs('kappa_fission', p_g, UVW=p_uvw)
+
+          end if
+        end if
+
+
+      case (SCORE_EVENTS)
+        ! Simply count number of scoring events
+        score = ONE
 
       end select
 
       !#########################################################################
       ! Expand score if necessary and add to tally results.
+      call expand_and_score(p, t, score_index, filter_index, score_bin, &
+                            score, i)
 
-      select case(score_bin)
-
-
-      case (SCORE_SCATTER_N, SCORE_NU_SCATTER_N)
-        ! Find the scattering order for a singly requested moment, and
-        ! store its moment contribution.
-        if (t % moment_order(i) == 1) then
-          score = score * p % mu ! avoid function call overhead
-        else
-          score = score * calc_pn(t % moment_order(i), p % mu)
-        endif
-!$omp atomic
-        t % results(score_index, filter_index) % value = &
-             t % results(score_index, filter_index) % value + score
-
-
-      case(SCORE_SCATTER_YN, SCORE_NU_SCATTER_YN)
-        score_index = score_index - 1
-        num_nm = 1
-        ! Find the order for a collection of requested moments
-        ! and store the moment contribution of each
-        do n = 0, t % moment_order(i)
-          ! determine scoring bin index
-          score_index = score_index + num_nm
-          ! Update number of total n,m bins for this n (m = [-n: n])
-          num_nm = 2 * n + 1
-
-          ! multiply score by the angular flux moments and store
-!$omp critical (score_general_scatt_yn)
-          t % results(score_index: score_index + num_nm - 1, filter_index) &
-               % value = t &
-               % results(score_index: score_index + num_nm - 1, filter_index)&
-               % value &
-               + score * calc_pn(n, p % mu) * calc_rn(n, p % last_uvw)
-!$omp end critical (score_general_scatt_yn)
-        end do
-        i = i + (t % moment_order(i) + 1)**2 - 1
-
-
-      case(SCORE_FLUX_YN, SCORE_TOTAL_YN)
-        score_index = score_index - 1
-        num_nm = 1
-        if (t % estimator == ESTIMATOR_ANALOG .or. &
-             t % estimator == ESTIMATOR_COLLISION) then
-          uvw = p % last_uvw
-        else if (t % estimator == ESTIMATOR_TRACKLENGTH) then
-          uvw = p % coord(1) % uvw
-        end if
-        ! Find the order for a collection of requested moments
-        ! and store the moment contribution of each
-        do n = 0, t % moment_order(i)
-          ! determine scoring bin index
-          score_index = score_index + num_nm
-          ! Update number of total n,m bins for this n (m = [-n: n])
-          num_nm = 2 * n + 1
-
-          ! multiply score by the angular flux moments and store
-!$omp critical (score_general_flux_tot_yn)
-          t % results(score_index: score_index + num_nm - 1, filter_index) &
-               % value = t &
-               % results(score_index: score_index + num_nm - 1, filter_index)&
-               % value &
-               + score * calc_rn(n, uvw)
-!$omp end critical (score_general_flux_tot_yn)
-        end do
-        i = i + (t % moment_order(i) + 1)**2 - 1
-
-
-      case (SCORE_SCATTER_PN, SCORE_NU_SCATTER_PN)
-        score_index = score_index - 1
-        ! Find the scattering order for a collection of requested moments
-        ! and store the moment contribution of each
-        do n = 0, t % moment_order(i)
-          ! determine scoring bin index
-          score_index = score_index + 1
-
-          ! get the score and tally it
-!$omp atomic
-          t % results(score_index, filter_index) % value = &
-               t % results(score_index, filter_index) % value &
-               + score * calc_pn(n, p % mu)
-        end do
-        i = i + t % moment_order(i)
-
-
-      case default
-!$omp atomic
-        t % results(score_index, filter_index) % value = &
-             t % results(score_index, filter_index) % value + score
-
-
-      end select
     end do SCORE_LOOP
-  end subroutine score_general
+
+    nullify(matxs,nucxs)
+  end subroutine score_general_mg
+
+!===============================================================================
+! EXPAND_AND_SCORE takes a previously determined score value and adjusts it
+! if necessary (for functional expansion weighting), and then adds the resultant
+! value to the tally results array.
+!===============================================================================
+
+  subroutine expand_and_score(p, t, score_index, filter_index, score_bin, &
+                              score, i)
+    type(Particle),    intent(in)    :: p
+    type(TallyObject), intent(inout) :: t
+    integer,           intent(inout) :: score_index
+    integer,           intent(in)    :: filter_index ! for % results
+    integer,           intent(in)    :: score_bin    ! score of concern
+    real(8),           intent(inout) :: score        ! data to score
+    integer,           intent(inout) :: i            ! Working index
+
+    integer :: num_nm ! Number of N,M orders in harmonic
+    integer :: n      ! Moment loop index
+    real(8) :: uvw(3)
+
+    select case(score_bin)
+    case (SCORE_SCATTER_N, SCORE_NU_SCATTER_N)
+      ! Find the scattering order for a singly requested moment, and
+      ! store its moment contribution.
+      if (t % moment_order(i) == 1) then
+        score = score * p % mu ! avoid function call overhead
+      else
+        score = score * calc_pn(t % moment_order(i), p % mu)
+      endif
+!$omp atomic
+      t % results(score_index, filter_index) % value = &
+           t % results(score_index, filter_index) % value + score
+
+
+    case(SCORE_SCATTER_YN, SCORE_NU_SCATTER_YN)
+      score_index = score_index - 1
+      num_nm = 1
+      ! Find the order for a collection of requested moments
+      ! and store the moment contribution of each
+      do n = 0, t % moment_order(i)
+        ! determine scoring bin index
+        score_index = score_index + num_nm
+        ! Update number of total n,m bins for this n (m = [-n: n])
+        num_nm = 2 * n + 1
+
+        ! multiply score by the angular flux moments and store
+!$omp critical (score_general_scatt_yn)
+        t % results(score_index: score_index + num_nm - 1, filter_index) &
+             % value = t &
+             % results(score_index: score_index + num_nm - 1, filter_index)&
+             % value &
+             + score * calc_pn(n, p % mu) * calc_rn(n, p % last_uvw)
+!$omp end critical (score_general_scatt_yn)
+      end do
+      i = i + (t % moment_order(i) + 1)**2 - 1
+
+
+    case(SCORE_FLUX_YN, SCORE_TOTAL_YN)
+      score_index = score_index - 1
+      num_nm = 1
+      if (t % estimator == ESTIMATOR_ANALOG .or. &
+           t % estimator == ESTIMATOR_COLLISION) then
+        uvw = p % last_uvw
+      else if (t % estimator == ESTIMATOR_TRACKLENGTH) then
+        uvw = p % coord(1) % uvw
+      end if
+      ! Find the order for a collection of requested moments
+      ! and store the moment contribution of each
+      do n = 0, t % moment_order(i)
+        ! determine scoring bin index
+        score_index = score_index + num_nm
+        ! Update number of total n,m bins for this n (m = [-n: n])
+        num_nm = 2 * n + 1
+
+        ! multiply score by the angular flux moments and store
+!$omp critical (score_general_flux_tot_yn)
+        t % results(score_index: score_index + num_nm - 1, filter_index) &
+             % value = t &
+             % results(score_index: score_index + num_nm - 1, filter_index)&
+             % value &
+             + score * calc_rn(n, uvw)
+!$omp end critical (score_general_flux_tot_yn)
+      end do
+      i = i + (t % moment_order(i) + 1)**2 - 1
+
+
+    case (SCORE_SCATTER_PN, SCORE_NU_SCATTER_PN)
+      score_index = score_index - 1
+      ! Find the scattering order for a collection of requested moments
+      ! and store the moment contribution of each
+      do n = 0, t % moment_order(i)
+        ! determine scoring bin index
+        score_index = score_index + 1
+
+        ! get the score and tally it
+!$omp atomic
+        t % results(score_index, filter_index) % value = &
+             t % results(score_index, filter_index) % value &
+             + score * calc_pn(n, p % mu)
+      end do
+      i = i + t % moment_order(i)
+
+
+    case default
+!$omp atomic
+      t % results(score_index, filter_index) % value = &
+           t % results(score_index, filter_index) % value + score
+
+
+    end select
+
+  end subroutine expand_and_score
 
 !===============================================================================
 ! SCORE_ALL_NUCLIDES tallies individual nuclide reaction rates specifically when
@@ -900,7 +1335,7 @@ contains
 ! triggered at every collision, not every event
 !===============================================================================
 
-  subroutine score_analog_tally(p)
+  subroutine score_analog_tally_ce(p)
 
     type(Particle), intent(in) :: p
 
@@ -910,17 +1345,9 @@ contains
                                     ! position during the loop
     integer :: filter_index         ! single index for single bin
     integer :: i_nuclide            ! index in nuclides array
-    real(8) :: last_wgt             ! pre-collision particle weight
-    real(8) :: wgt                  ! post-collision particle weight
-    real(8) :: mu                   ! cosine of angle of collision
     logical :: found_bin            ! scoring bin found?
     type(TallyObject), pointer :: t
 
-    ! Copy particle's pre- and post-collision weight and angle
-    last_wgt = p % last_wgt
-    wgt = p % wgt
-    mu = p % mu
-
     ! A loop over all tallies is necessary because we need to simultaneously
     ! determine different filter bins for the same tally in order to score to it
 
@@ -999,7 +1426,87 @@ contains
     ! Reset tally map positioning
     position = 0
 
-  end subroutine score_analog_tally
+  end subroutine score_analog_tally_ce
+
+  subroutine score_analog_tally_mg(p)
+
+    type(Particle), intent(in) :: p
+
+    integer :: i, m
+    integer :: i_tally
+    integer :: k                    ! loop index for nuclide bins
+                                    ! position during the loop
+    integer :: filter_index         ! single index for single bin
+    integer :: i_nuclide            ! index in nuclides array
+    logical :: found_bin            ! scoring bin found?
+    type(TallyObject), pointer :: t
+    type(Material),    pointer :: mat
+    real(8) :: atom_density
+
+    ! A loop over all tallies is necessary because we need to simultaneously
+    ! determine different filter bins for the same tally in order to score to it
+
+    TALLY_LOOP: do i = 1, active_analog_tallies % size()
+      ! Get index of tally and pointer to tally
+      i_tally = active_analog_tallies % get_item(i)
+      t => tallies(i_tally)
+
+      ! Get pointer to current material. We need this in order to determine what
+      ! nuclides are in the material
+      mat => materials(p % material)
+
+      ! =======================================================================
+      ! DETERMINE SCORING BIN COMBINATION
+
+      call get_scoring_bins(p, i_tally, found_bin)
+      if (.not. found_bin) cycle
+
+      ! =======================================================================
+      ! CALCULATE RESULTS AND ACCUMULATE TALLY
+
+      ! If we have made it here, we have a scoring combination of bins for this
+      ! tally -- now we need to determine where in the results array we should
+      ! be accumulating the tally values
+
+      ! Determine scoring index for this filter combination
+      filter_index = sum((matching_bins(1:t%n_filters) - 1) * t % stride) + 1
+
+      ! Check for nuclide bins
+      k = 0
+      NUCLIDE_LOOP: do while (k < t % n_nuclide_bins)
+
+        ! Increment the index in the list of nuclide bins
+        k = k + 1
+
+        i_nuclide = t % nuclide_bins(k)
+
+        ! Check to see if this nuclide was in the material of our collision.
+        do m = 1, mat % n_nuclides
+          if (mat % nuclide(m) == i_nuclide) then
+            atom_density = mat % atom_density(m)
+            exit
+          end if
+        end do
+
+        ! Determine score for each bin
+        call score_general(p, t, (k-1)*t % n_score_bins, filter_index, &
+             i_nuclide, atom_density, ZERO)
+
+      end do NUCLIDE_LOOP
+
+      ! If the user has specified that we can assume all tallies are spatially
+      ! separate, this implies that once a tally has been scored to, we needn't
+      ! check the others. This cuts down on overhead when there are many
+      ! tallies specified
+
+      if (assume_separate) exit TALLY_LOOP
+
+    end do TALLY_LOOP
+
+    ! Reset tally map positioning
+    position = 0
+
+  end subroutine score_analog_tally_mg
 
 !===============================================================================
 ! SCORE_FISSION_EOUT handles a special case where we need to store neutron
@@ -1008,7 +1515,7 @@ contains
 ! neutrons produced with different energies.
 !===============================================================================
 
-  subroutine score_fission_eout(p, t, i_score)
+  subroutine score_fission_eout_ce(p, t, i_score)
     type(Particle), intent(in) :: p
     type(TallyObject), intent(inout) :: t
     integer, intent(in)        :: i_score ! index for score
@@ -1060,7 +1567,85 @@ contains
     ! reset outgoing energy bin and score index
     matching_bins(i) = bin_energyout
 
-  end subroutine score_fission_eout
+  end subroutine score_fission_eout_ce
+
+  subroutine score_fission_eout_mg(p, t, i_score, i_nuclide, atom_density)
+    type(Particle),    intent(in)    :: p
+    type(TallyObject), intent(inout) :: t
+    integer,           intent(in)    :: i_score   ! index for score
+    integer,           intent(in)    :: i_nuclide ! index for nuclide
+    real(8),           intent(in)    :: atom_density
+
+    integer :: i             ! index of outgoing energy filter
+    integer :: n             ! number of energies on filter
+    integer :: k             ! loop index for bank sites
+    integer :: bin_energyout ! original outgoing energy bin
+    integer :: i_filter      ! index for matching filter bin combination
+    real(8) :: score         ! actual score
+    integer :: gout          ! energy group of fission bank site
+    integer :: gin           ! energy group of incident particle
+    real(8) :: E_out
+
+    ! save original outgoing energy bin and score index
+    i = t % find_filter(FILTER_ENERGYOUT)
+    bin_energyout = matching_bins(i)
+
+    ! Get number of energies on filter
+    n = size(t % filters(i) % real_bins)
+
+    ! Since the creation of fission sites is weighted such that it is
+    ! expected to create n_particles sites, we need to multiply the
+    ! score by keff to get the true nu-fission rate. Otherwise, the sum
+    ! of all nu-fission rates would be ~1.0.
+
+    ! loop over number of particles banked
+    do k = 1, p % n_bank
+      ! determine score based on bank site weight and keff
+      score = keff * fission_bank(n_bank - p % n_bank + k) % wgt
+      if (i_nuclide > 0) then
+        if (survival_biasing) then
+          gin = p % g
+        else
+          gin = p % last_g
+        end if
+        score = score * atom_density * &
+             nuclides_MG(i_nuclide) % obj % get_xs('fission', gin, &
+                                                   UVW=p % last_uvw) / &
+             macro_xs(p % material) % obj % get_xs('fission', gin, &
+                                                   UVW=p % last_uvw)
+      end if
+
+      if (t % energyout_matches_groups) then
+        ! determine outgoing energy from fission bank
+        gout = int(fission_bank(n_bank - p % n_bank + k) % E)
+
+        ! change outgoing energy bin
+        matching_bins(i) = gout
+      else
+        ! determine outgoing energy from fission bank
+        E_out = energy_bin_avg(int(fission_bank(n_bank - p % n_bank + k) % E))
+
+        ! check if outgoing energy is within specified range on filter
+        if (E_out < t % filters(i) % real_bins(1) .or. &
+             E_out > t % filters(i) % real_bins(n)) cycle
+
+        ! change outgoing energy bin
+        matching_bins(i) = binary_search(t % filters(i) % real_bins, n, E_out)
+      end if
+
+      ! determine scoring index
+      i_filter = sum((matching_bins(1:t%n_filters) - 1) * t % stride) + 1
+
+      ! Add score to tally
+!$omp atomic
+      t % results(i_score, i_filter) % value = &
+           t % results(i_score, i_filter) % value + score
+    end do
+
+    ! reset outgoing energy bin and score index
+    matching_bins(i) = bin_energyout
+
+  end subroutine score_fission_eout_mg
 
 !===============================================================================
 ! SCORE_FISSION_DELAYED_EOUT handles a special case where we need to store
@@ -1340,7 +1925,7 @@ contains
     real(8) :: phi
     type(TallyObject), pointer :: t
     type(RegularMesh), pointer :: m
-    type(Material), pointer :: mat
+    type(Material),    pointer :: mat
 
     t => tallies(i_tally)
     matching_bins(1:t%n_filters) = 1
@@ -1702,7 +2287,7 @@ contains
 ! for a tally based on the particle's current attributes.
 !===============================================================================
 
-  subroutine get_scoring_bins(p, i_tally, found_bin)
+  subroutine get_scoring_bins_ce(p, i_tally, found_bin)
 
     type(Particle), intent(in)  :: p
     integer,        intent(in)  :: i_tally
@@ -1712,6 +2297,7 @@ contains
     integer :: j
     integer :: n ! number of bins for single filter
     integer :: offset ! offset for distribcell
+    integer :: distribcell_index ! index in distribcell arrays
     real(8) :: E ! particle energy
     real(8) :: theta, phi ! Polar and Azimuthal Angles, respectively
     type(TallyObject), pointer :: t
@@ -1756,12 +2342,14 @@ contains
 
       case (FILTER_DISTRIBCELL)
         ! determine next distribcell bin
+        distribcell_index = cells(t % filters(i) % int_bins(1)) &
+                                  % distribcell_index
         matching_bins(i) = NO_BIN_FOUND
         offset = 0
         do j = 1, p % n_coord
           if (cells(p % coord(j) % cell) % type == CELL_FILL) then
             offset = offset + cells(p % coord(j) % cell) % &
-                 offset(t % filters(i) % offset)
+                 offset(distribcell_index)
           elseif(cells(p % coord(j) % cell) % type == CELL_LATTICE) then
             if (lattices(p % coord(j + 1) % lattice) % obj &
                  % are_valid_indices([&
@@ -1769,7 +2357,7 @@ contains
                  p % coord(j + 1) % lattice_y, &
                  p % coord(j + 1) % lattice_z])) then
               offset = offset + lattices(p % coord(j + 1) % lattice) % obj % &
-                   offset(t % filters(i) % offset, &
+                   offset(distribcell_index, &
                    p % coord(j + 1) % lattice_x, &
                    p % coord(j + 1) % lattice_y, &
                    p % coord(j + 1) % lattice_z)
@@ -1905,7 +2493,221 @@ contains
 
     end do FILTER_LOOP
 
-  end subroutine get_scoring_bins
+  end subroutine get_scoring_bins_ce
+
+  subroutine get_scoring_bins_mg(p, i_tally, found_bin)
+
+    type(Particle), intent(in)  :: p
+    integer,        intent(in)  :: i_tally
+    logical,        intent(out) :: found_bin
+
+    integer :: i ! loop index for filters
+    integer :: j
+    integer :: n ! number of bins for single filter
+    integer :: distribcell_index ! index in distribcell arrays
+    integer :: offset ! offset for distribcell
+    real(8) :: theta, phi ! Polar and Azimuthal Angles, respectively
+    real(8) :: E
+    type(TallyObject),    pointer :: t
+    type(RegularMesh), pointer :: m
+
+    found_bin = .true.
+    t => tallies(i_tally)
+    matching_bins(1:t%n_filters) = 1
+
+    FILTER_LOOP: do i = 1, t % n_filters
+
+      select case (t % filters(i) % type)
+      case (FILTER_MESH)
+        ! determine mesh bin
+        m => meshes(t % filters(i) % int_bins(1))
+
+        ! Determine if we're in the mesh first
+        call get_mesh_bin(m, p % coord(1) % xyz, matching_bins(i))
+
+      case (FILTER_UNIVERSE)
+        ! determine next universe bin
+        ! TODO: Account for multiple universes when performing this filter
+        matching_bins(i) = get_next_bin(FILTER_UNIVERSE, &
+             p % coord(p % n_coord) % universe, i_tally)
+
+      case (FILTER_MATERIAL)
+        if (p % material == MATERIAL_VOID) then
+          matching_bins(i) = NO_BIN_FOUND
+        else
+          matching_bins(i) = get_next_bin(FILTER_MATERIAL, &
+               p % material, i_tally)
+        endif
+
+      case (FILTER_CELL)
+        ! determine next cell bin
+        do j = 1, p % n_coord
+          position(FILTER_CELL) = 0
+          matching_bins(i) = get_next_bin(FILTER_CELL, &
+               p % coord(j) % cell, i_tally)
+          if (matching_bins(i) /= NO_BIN_FOUND) exit
+        end do
+
+      case (FILTER_DISTRIBCELL)
+        ! determine next distribcell bin
+        distribcell_index = cells(t % filters(i) % int_bins(1)) &
+                                  % distribcell_index
+        matching_bins(i) = NO_BIN_FOUND
+        offset = 0
+        do j = 1, p % n_coord
+          if (cells(p % coord(j) % cell) % type == CELL_FILL) then
+            offset = offset + cells(p % coord(j) % cell) % &
+                 offset(distribcell_index)
+          elseif(cells(p % coord(j) % cell) % type == CELL_LATTICE) then
+            if (lattices(p % coord(j + 1) % lattice) % obj &
+                 % are_valid_indices([&
+                 p % coord(j + 1) % lattice_x, &
+                 p % coord(j + 1) % lattice_y, &
+                 p % coord(j + 1) % lattice_z])) then
+              offset = offset + lattices(p % coord(j + 1) % lattice) % obj % &
+                   offset(distribcell_index, &
+                   p % coord(j + 1) % lattice_x, &
+                   p % coord(j + 1) % lattice_y, &
+                   p % coord(j + 1) % lattice_z)
+            end if
+          end if
+          if (t % filters(i) % int_bins(1) == p % coord(j) % cell) then
+            matching_bins(i) = offset + 1
+            exit
+          end if
+        end do
+
+      case (FILTER_CELLBORN)
+        ! determine next cellborn bin
+        matching_bins(i) = get_next_bin(FILTER_CELLBORN, &
+             p % cell_born, i_tally)
+
+      case (FILTER_SURFACE)
+        ! determine next surface bin
+        matching_bins(i) = get_next_bin(FILTER_SURFACE, &
+             p % surface, i_tally)
+
+      case (FILTER_ENERGYIN)
+        if (t % energy_matches_groups) then
+          ! make sure the correct energy group is used
+          ! Since all groups are filters, the filter bin is the group
+          if (t % estimator == ESTIMATOR_TRACKLENGTH) then
+            matching_bins(i) = p % g
+          else
+            matching_bins(i) = p % last_g
+          end if
+          ! Tallies are ordered in increasing groups, group indices
+          ! however are the opposite, so switch
+          matching_bins(i) = energy_groups - matching_bins(i) + 1
+        else
+          ! make sure the correct energy is used
+          if (t % estimator == ESTIMATOR_TRACKLENGTH) then
+            E = p % E
+          else
+            E = p % last_E
+          end if
+          n = t % filters(i) % n_bins
+
+          ! check if energy of the particle is within energy bins
+          if (E < t % filters(i) % real_bins(1) .or. &
+               E > t % filters(i) % real_bins(n + 1)) then
+            matching_bins(i) = NO_BIN_FOUND
+          else
+            ! search to find incoming energy bin
+            matching_bins(i) = binary_search(t % filters(i) % real_bins, &
+                 n + 1, E)
+          end if
+        end if
+
+      case (FILTER_ENERGYOUT)
+        if (t % energyout_matches_groups) then
+          ! Since all groups are filters, the filter bin is the group
+          matching_bins(i) = p % g
+
+          ! Tallies are ordered in increasing groups, group indices
+          ! however are the opposite, so switch
+          matching_bins(i) = energy_groups - matching_bins(i) + 1
+        else
+          ! determine outgoing energy bin
+          n = t % filters(i) % n_bins
+
+          ! check if energy of the particle is within energy bins
+          if (p % E < t % filters(i) % real_bins(1) .or. &
+               p % E > t % filters(i) % real_bins(n + 1)) then
+            matching_bins(i) = NO_BIN_FOUND
+          else
+            ! search to find incoming energy bin
+            matching_bins(i) = binary_search(t % filters(i) % real_bins, &
+                 n + 1, p % E)
+          end if
+        end if
+
+      case (FILTER_MU)
+        ! determine mu bin
+        n = t % filters(i) % n_bins
+
+        ! check if particle is within mu bins
+        if (p % mu < t % filters(i) % real_bins(1) .or. &
+             p % mu > t % filters(i) % real_bins(n + 1)) then
+          matching_bins(i) = NO_BIN_FOUND
+        else
+          ! search to find mu bin
+          matching_bins(i) = binary_search(t % filters(i) % real_bins, &
+               n + 1, p % mu)
+        end if
+
+      case (FILTER_POLAR)
+        ! make sure the correct direction vector is used
+        if (t % estimator == ESTIMATOR_TRACKLENGTH) then
+          theta = acos(p % coord(1) % uvw(3))
+        else
+          theta = acos(p % last_uvw(3))
+        end if
+
+        ! determine polar angle bin
+        n = t % filters(i) % n_bins
+
+        ! check if particle is within polar angle bins
+        if (theta < t % filters(i) % real_bins(1) .or. &
+             theta > t % filters(i) % real_bins(n + 1)) then
+          matching_bins(i) = NO_BIN_FOUND
+        else
+          ! search to find polar angle bin
+          matching_bins(i) = binary_search(t % filters(i) % real_bins, &
+               n + 1, theta)
+        end if
+
+      case (FILTER_AZIMUTHAL)
+        ! make sure the correct direction vector is used
+        if (t % estimator == ESTIMATOR_TRACKLENGTH) then
+          phi = atan2(p % coord(1) % uvw(2), p % coord(1) % uvw(1))
+        else
+          phi = atan2(p % last_uvw(2), p % last_uvw(1))
+        end if
+        ! determine mu bin
+        n = t % filters(i) % n_bins
+
+        ! check if particle is within azimuthal angle bins
+        if (phi < t % filters(i) % real_bins(1) .or. &
+             phi > t % filters(i) % real_bins(n + 1)) then
+          matching_bins(i) = NO_BIN_FOUND
+        else
+          ! search to find azimuthal angle bin
+          matching_bins(i) = binary_search(t % filters(i) % real_bins, &
+               n + 1, phi)
+        end if
+
+      end select
+
+      ! If the current filter didn't match, exit this subroutine
+      if (matching_bins(i) == NO_BIN_FOUND) then
+        found_bin = .false.
+        return
+      end if
+
+    end do FILTER_LOOP
+
+  end subroutine get_scoring_bins_mg
 
 !===============================================================================
 ! SCORE_SURFACE_CURRENT tallies surface crossings in a mesh tally by manually
diff --git a/src/tally_header.F90 b/src/tally_header.F90
index 18b9219522..8db9ab0e1b 100644
--- a/src/tally_header.F90
+++ b/src/tally_header.F90
@@ -55,7 +55,6 @@ module tally_header
   type TallyFilter
     integer :: type = NONE
     integer :: n_bins = 0
-    integer :: offset = 0 ! Only used for distribcell filters
     integer, allocatable :: int_bins(:)
     real(8), allocatable :: real_bins(:) ! Only used for energy filters
   end type TallyFilter
@@ -125,6 +124,10 @@ module tally_header
     ! Tally precision triggers
     integer                           :: n_triggers = 0  ! # of triggers
     type(TriggerObject),  allocatable :: triggers(:)     ! Array of triggers
+
+    ! Multi-Group Specific Information To Enable Rapid Tallying
+    logical :: energy_matches_groups    = .false.
+    logical :: energyout_matches_groups = .false.
   end type TallyObject
 
 end module tally_header
diff --git a/src/track_output.F90 b/src/track_output.F90
index 1665ac25ea..1411738622 100644
--- a/src/track_output.F90
+++ b/src/track_output.F90
@@ -7,8 +7,8 @@ module track_output
 
   use global
   use hdf5_interface
-  use particle_header,   only: Particle
-  use string,            only: to_str
+  use particle_header, only: Particle
+  use string,          only: to_str
 
   use hdf5
 
diff --git a/src/tracking.F90 b/src/tracking.F90
index 2e4503e139..d52b09a75d 100644
--- a/src/tracking.F90
+++ b/src/tracking.F90
@@ -1,21 +1,22 @@
 module tracking
 
-  use constants,       only: MODE_EIGENVALUE
-  use cross_section,   only: calculate_xs
-  use error,           only: fatal_error, warning
-  use geometry,        only: find_cell, distance_to_boundary, cross_surface, &
-                             cross_lattice, check_cell_overlap
-  use geometry_header, only: Universe, BASE_UNIVERSE
+  use constants,          only: MODE_EIGENVALUE
+  use cross_section,      only: calculate_xs
+  use error,              only: fatal_error, warning
+  use geometry,           only: find_cell, distance_to_boundary, cross_surface, &
+                                cross_lattice, check_cell_overlap
+  use geometry_header,    only: Universe, BASE_UNIVERSE
   use global
-  use output,          only: write_message
-  use particle_header, only: LocalCoord, Particle
-  use physics,         only: collision
-  use random_lcg,      only: prn
-  use string,          only: to_str
-  use tally,           only: score_analog_tally, score_tracklength_tally, &
-                             score_collision_tally, score_surface_current
-  use track_output,    only: initialize_particle_track, write_particle_track, &
-                             add_particle_track, finalize_particle_track
+  use output,             only: write_message
+  use particle_header,    only: LocalCoord, Particle
+  use physics,            only: collision
+  use physics_mg,         only: collision_mg
+  use random_lcg,         only: prn
+  use string,             only: to_str
+  use tally,              only: score_analog_tally, score_tracklength_tally, &
+                                score_collision_tally, score_surface_current
+  use track_output,       only: initialize_particle_track, write_particle_track, &
+                                add_particle_track, finalize_particle_track
 
   implicit none
 
@@ -53,7 +54,9 @@ contains
     total_weight = total_weight + p % wgt
 
     ! Force calculation of cross-sections by setting last energy to zero
-    micro_xs % last_E = ZERO
+    if (run_CE) then
+      micro_xs % last_E = ZERO
+    end if
 
     ! Prepare to write out particle track.
     if (p % write_track) then
@@ -79,11 +82,25 @@ contains
 
       if (check_overlaps) call check_cell_overlap(p)
 
-      ! Calculate microscopic and macroscopic cross sections -- note: if the
-      ! material is the same as the last material and the energy of the
-      ! particle hasn't changed, we don't need to lookup cross sections again.
-
-      if (p % material /= p % last_material) call calculate_xs(p)
+      ! Calculate microscopic and macroscopic cross sections
+      if (run_CE) then
+        ! If the material is the same as the last material and the energy of the
+        ! particle hasn't changed, we don't need to lookup cross sections again.
+        if (p % material /= p % last_material) call calculate_xs(p)
+      else
+        ! Since the MGXS can be angle dependent, this needs to be done
+        ! After every collision for the MGXS mode
+        if (p % material /= MATERIAL_VOID) then
+          call macro_xs(p % material) % obj % calculate_xs(p % g, &
+               p % coord(p % n_coord) % uvw, material_xs)
+        else
+          material_xs % total      = ZERO
+          material_xs % elastic    = ZERO
+          material_xs % absorption = ZERO
+          material_xs % fission    = ZERO
+          material_xs % nu_fission = ZERO
+        end if
+      end if
 
       ! Find the distance to the nearest boundary
       call distance_to_boundary(p, d_boundary, surface_crossed, &
@@ -105,8 +122,10 @@ contains
       end do
 
       ! Score track-length tallies
-      if (active_tracklength_tallies % size() > 0) &
-           call score_tracklength_tally(p, distance)
+      if (active_tracklength_tallies % size() > 0) then
+        call score_tracklength_tally(p, distance)
+      end if
+
 
       ! Score track-length estimate of k-eff
       if (run_mode == MODE_EIGENVALUE) then
@@ -151,12 +170,15 @@ contains
         ! Clear surface component
         p % surface = NONE
 
-        call collision(p)
+        if (run_CE) then
+          call collision(p)
+        else
+          call collision_mg(p)
+        end if
 
         ! Score collision estimator tallies -- this is done after a collision
         ! has occurred rather than before because we need information on the
         ! outgoing energy for any tallies with an outgoing energy filter
-
         if (active_collision_tallies % size() > 0) call score_collision_tally(p)
         if (active_analog_tallies % size() > 0) call score_analog_tally(p)
 
@@ -200,8 +222,10 @@ contains
       ! Check for secondary particles if this particle is dead
       if (.not. p % alive) then
         if (p % n_secondary > 0) then
-          call p % initialize_from_source(p % secondary_bank(p % n_secondary))
+          call p % initialize_from_source(p % secondary_bank(p % n_secondary), &
+                                          run_CE, energy_bin_avg)
           p % n_secondary = p % n_secondary - 1
+          n_event = 0
 
           ! Enter new particle in particle track file
           if (p % write_track) call add_particle_track()
diff --git a/src/trigger.F90 b/src/trigger.F90
index 73cb0c7efe..ed362154b4 100644
--- a/src/trigger.F90
+++ b/src/trigger.F90
@@ -6,12 +6,12 @@ module trigger
 
   use constants
   use global
-  use string,           only: to_str
-  use output,           only: warning, write_message
-  use mesh,             only: mesh_indices_to_bin
-  use mesh_header,      only: RegularMesh
-  use trigger_header,   only: TriggerObject
-  use tally,            only: TallyObject
+  use string,         only: to_str
+  use output,         only: warning, write_message
+  use mesh,           only: mesh_indices_to_bin
+  use mesh_header,    only: RegularMesh
+  use trigger_header, only: TriggerObject
+  use tally,          only: TallyObject
 
   implicit none
 
diff --git a/src/urr_header.F90 b/src/urr_header.F90
new file mode 100644
index 0000000000..96e182d2e3
--- /dev/null
+++ b/src/urr_header.F90
@@ -0,0 +1,20 @@
+module urr_header
+
+  implicit none
+
+!===============================================================================
+! URRDATA contains probability tables for the unresolved resonance range.
+!===============================================================================
+
+  type UrrData
+    integer :: n_energy        ! # of incident neutron energies
+    integer :: n_prob          ! # of probabilities
+    integer :: interp          ! inteprolation (2=lin-lin, 5=log-log)
+    integer :: inelastic_flag  ! inelastic competition flag
+    integer :: absorption_flag ! other absorption flag
+    logical :: multiply_smooth ! multiply by smooth cross section?
+    real(8), allocatable :: energy(:)   ! incident energies
+    real(8), allocatable :: prob(:,:,:) ! actual probabibility tables
+  end type UrrData
+
+end module urr_header
diff --git a/tests/1d_mgxs.xml b/tests/1d_mgxs.xml
new file mode 100644
index 0000000000..33b20464b6
--- /dev/null
+++ b/tests/1d_mgxs.xml
@@ -0,0 +1,9859 @@
+<?xml version='1.0' encoding='utf-8'?>
+<library>
+    <groups>  1  </groups>
+    <group_structure>  0.0000000E+00 2.0000000E+01  </group_structure>
+
+    <xsdata>
+        <name>  uo2_iso.71c  </name>
+        <alias>  uo2_iso.71c  </alias>
+        <kT>  2.5300000E-08  </kT>
+        <order>  5  </order>
+        <fissionable>  true  </fissionable>
+        <representation>  isotropic  </representation>
+        <total>
+            4.1022364E-01
+        </total>
+        <absorption>
+            3.4687432E-02
+        </absorption>
+        <nu_fission>
+            4.9631431E-02
+        </nu_fission>
+        <chi>
+            1.0000000E+00
+        </chi>
+        <fission>
+            2.0019027E-02
+        </fission>
+        <scatter>
+            3.7564339E-01
+
+            4.4983802E-02
+
+            2.2781624E-02
+
+            1.1639469E-02
+
+            7.1975833E-03
+
+            3.5887673E-03
+        </scatter>
+        <multiplicity>
+            1.0002764E+00
+        </multiplicity>
+    </xsdata>
+
+    <xsdata>
+        <name>  clad_iso.71c  </name>
+        <alias>  clad_iso.71c  </alias>
+        <kT>  2.5300000E-08  </kT>
+        <order>  5  </order>
+        <fissionable>  false  </fissionable>
+        <representation>  isotropic  </representation>
+        <total>
+            3.0736836E-01
+        </total>
+        <absorption>
+            1.7027907E-03
+        </absorption>
+        <scatter>
+            3.0566993E-01
+
+            4.1625057E-02
+
+            2.2287832E-02
+
+            3.9580806E-03
+
+            3.3420849E-03
+
+            1.3963828E-03
+        </scatter>
+        <multiplicity>
+            1.0000372E+00
+        </multiplicity>
+    </xsdata>
+
+    <xsdata>
+        <name>  lwtr_iso.71c  </name>
+        <alias>  lwtr_iso.71c  </alias>
+        <kT>  2.5300000E-08  </kT>
+        <order>  5  </order>
+        <fissionable>  false  </fissionable>
+        <representation>  isotropic  </representation>
+        <total>
+            9.6904862E-01
+        </total>
+        <absorption>
+            1.0230968E-02
+        </absorption>
+        <scatter>
+            9.5881780E-01
+
+            3.9202760E-01
+
+            1.2865356E-01
+
+            9.5231115E-03
+
+            -1.9647208E-02
+
+            5.9291968E-04
+        </scatter>
+        <multiplicity>
+            1.0000000E+00
+        </multiplicity>
+    </xsdata>
+
+    <xsdata>
+        <name>  uo2_iso_mu.71c  </name>
+        <alias>  uo2_iso_mu.71c  </alias>
+        <kT>  2.5300000E-08  </kT>
+        <order>  32  </order>
+        <fissionable>  true  </fissionable>
+        <representation>  isotropic  </representation>
+        <scatt_type>  histogram  </scatt_type>
+        <total>
+            4.1022364E-01
+        </total>
+        <absorption>
+            3.4687432E-02
+        </absorption>
+        <nu_fission>
+            4.9631431E-02
+        </nu_fission>
+        <chi>
+            1.0000000E+00
+        </chi>
+        <fission>
+            2.0019027E-02
+        </fission>
+        <scatter>
+            9.7621928E-03
+
+            9.6669975E-03
+
+            9.6217012E-03
+
+            9.6029285E-03
+
+            9.6155223E-03
+
+            9.6417022E-03
+
+            9.6845888E-03
+
+            9.7355785E-03
+
+            9.7971852E-03
+
+            9.8708684E-03
+
+            9.9451996E-03
+
+            1.0026273E-02
+
+            1.0121536E-02
+
+            1.0227606E-02
+
+            1.0340467E-02
+
+            1.0461281E-02
+
+            1.0600371E-02
+
+            1.0742182E-02
+
+            1.0892295E-02
+
+            1.1062409E-02
+
+            1.1236639E-02
+
+            1.1440302E-02
+
+            1.1662283E-02
+
+            1.1931512E-02
+
+            1.2259589E-02
+
+            1.2696194E-02
+
+            1.3272953E-02
+
+            1.4078939E-02
+
+            1.5238289E-02
+
+            1.6956791E-02
+
+            1.9602217E-02
+
+            2.3848802E-02
+        </scatter>
+        <multiplicity>
+            1.0002764E+00
+        </multiplicity>
+    </xsdata>
+
+    <xsdata>
+        <name>  clad_iso_mu.71c  </name>
+        <alias>  clad_iso_mu.71c  </alias>
+        <kT>  2.5300000E-08  </kT>
+        <order>  32  </order>
+        <fissionable>  false  </fissionable>
+        <representation>  isotropic  </representation>
+        <scatt_type>  histogram  </scatt_type>
+        <total>
+            3.0736836E-01
+        </total>
+        <absorption>
+            1.7027907E-03
+        </absorption>
+        <scatter>
+            8.7275040E-03
+
+            8.3252599E-03
+
+            8.0120655E-03
+
+            7.7711039E-03
+
+            7.5947251E-03
+
+            7.4705350E-03
+
+            7.3804037E-03
+
+            7.3241515E-03
+
+            7.3010244E-03
+
+            7.3107188E-03
+
+            7.3487081E-03
+
+            7.4144814E-03
+
+            7.5104992E-03
+
+            7.6438156E-03
+
+            7.7974114E-03
+
+            7.9812213E-03
+
+            8.1816102E-03
+
+            8.4284406E-03
+
+            8.6892059E-03
+
+            8.9675370E-03
+
+            9.2626673E-03
+
+            9.6121293E-03
+
+            9.9669464E-03
+
+            1.0354054E-02
+
+            1.0794903E-02
+
+            1.1296566E-02
+
+            1.1883978E-02
+
+            1.2592532E-02
+
+            1.3494682E-02
+
+            1.4666635E-02
+
+            1.6229823E-02
+
+            1.8334594E-02
+        </scatter>
+        <multiplicity>
+            1.0000372E+00
+        </multiplicity>
+    </xsdata>
+
+    <xsdata>
+        <name>  lwtr_iso_mu.71c  </name>
+        <alias>  lwtr_iso_mu.71c  </alias>
+        <kT>  2.5300000E-08  </kT>
+        <order>  32  </order>
+        <fissionable>  false  </fissionable>
+        <representation>  isotropic  </representation>
+        <scatt_type>  histogram  </scatt_type>
+        <total>
+            9.6904862E-01
+        </total>
+        <absorption>
+            1.0230968E-02
+        </absorption>
+        <scatter>
+            5.8755233E-03
+
+            1.0934725E-02
+
+            1.1142414E-02
+
+            1.0437139E-02
+
+            1.0756915E-02
+
+            1.0623054E-02
+
+            1.1295335E-02
+
+            1.1326212E-02
+
+            1.1795885E-02
+
+            1.2179916E-02
+
+            1.2528003E-02
+
+            1.3121696E-02
+
+            1.3563685E-02
+
+            1.4242846E-02
+
+            1.4567732E-02
+
+            1.5913317E-02
+
+            1.6851680E-02
+
+            2.0792196E-02
+
+            2.4129531E-02
+
+            2.8258248E-02
+
+            3.2040957E-02
+
+            3.6266761E-02
+
+            4.0455247E-02
+
+            4.4731350E-02
+
+            4.8820583E-02
+
+            5.3746086E-02
+
+            5.7743648E-02
+
+            6.3513540E-02
+
+            6.7353451E-02
+
+            7.2430683E-02
+
+            8.0723820E-02
+
+            8.0655621E-02
+        </scatter>
+        <multiplicity>
+            1.0000000E+00
+        </multiplicity>
+    </xsdata>
+
+    <xsdata>
+        <name>  uo2_ang.71c  </name>
+        <alias>  uo2_ang.71c  </alias>
+        <kT>  2.5300000E-08  </kT>
+        <order>  5  </order>
+        <fissionable>  true  </fissionable>
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+        <representation>  angle  </representation>
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+    </xsdata>
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+    <xsdata>
+        <name>  clad_ang.71c  </name>
+        <alias>  clad_ang.71c  </alias>
+        <kT>  2.5300000E-08  </kT>
+        <order>  5  </order>
+        <fissionable>  false  </fissionable>
+        <num_polar>  32  </num_polar>
+        <num_azimuthal>  1  </num_azimuthal>
+        <representation>  angle  </representation>
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+    <xsdata>
+        <name>  uo2_ang_mu.71c  </name>
+        <alias>  uo2_ang_mu.71c  </alias>
+        <kT>  2.5300000E-08  </kT>
+        <order>  32  </order>
+        <fissionable>  true  </fissionable>
+        <num_polar>  32  </num_polar>
+        <num_azimuthal>  1  </num_azimuthal>
+        <representation>  angle  </representation>
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+        <name>  clad_ang_mu.71c  </name>
+        <alias>  clad_ang_mu.71c  </alias>
+        <kT>  2.5300000E-08  </kT>
+        <order>  32  </order>
+        <fissionable>  false  </fissionable>
+        <num_polar>  32  </num_polar>
+        <num_azimuthal>  1  </num_azimuthal>
+        <representation>  angle  </representation>
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+        <name>  lwtr_ang_mu.71c  </name>
+        <alias>  lwtr_ang_mu.71c  </alias>
+        <kT>  2.5300000E-08  </kT>
+        <order>  32  </order>
+        <fissionable>  false  </fissionable>
+        <num_polar>  32  </num_polar>
+        <num_azimuthal>  1  </num_azimuthal>
+        <representation>  angle  </representation>
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+
+            2.1928655E-02
+
+            2.5188600E-02
+
+            2.9345474E-02
+
+            3.3098490E-02
+
+            3.7352890E-02
+
+            4.1577882E-02
+
+            4.5851588E-02
+
+            4.9907550E-02
+
+            5.5007580E-02
+
+            5.8924848E-02
+
+            6.4866195E-02
+
+            6.8653679E-02
+
+            7.3799695E-02
+
+            8.2491620E-02
+
+            8.2047228E-02
+
+
+
+            6.1241006E-03
+
+            1.1590726E-02
+
+            1.1801215E-02
+
+            1.1080585E-02
+
+            1.1434054E-02
+
+            1.1286311E-02
+
+            1.2000496E-02
+
+            1.2020032E-02
+
+            1.2555074E-02
+
+            1.2968561E-02
+
+            1.3345040E-02
+
+            1.3984260E-02
+
+            1.4471501E-02
+
+            1.5187071E-02
+
+            1.5527587E-02
+
+            1.6969733E-02
+
+            1.7880430E-02
+
+            2.1827072E-02
+
+            2.5070882E-02
+
+            2.9204178E-02
+
+            3.2920367E-02
+
+            3.7138445E-02
+
+            4.1355200E-02
+
+            4.5651496E-02
+
+            4.9686415E-02
+
+            5.4664866E-02
+
+            5.8632525E-02
+
+            6.4518086E-02
+
+            6.8341097E-02
+
+            7.3449748E-02
+
+            8.2031901E-02
+
+            8.1619798E-02
+
+
+
+            6.1062727E-03
+
+            1.1540200E-02
+
+            1.1761046E-02
+
+            1.1040109E-02
+
+            1.1412932E-02
+
+            1.1240736E-02
+
+            1.1950046E-02
+
+            1.1997678E-02
+
+            1.2505989E-02
+
+            1.2930265E-02
+
+            1.3303213E-02
+
+            1.3935054E-02
+
+            1.4397122E-02
+
+            1.5128867E-02
+
+            1.5487202E-02
+
+            1.6938379E-02
+
+            1.7810772E-02
+
+            2.1723430E-02
+
+            2.4973244E-02
+
+            2.9068452E-02
+
+            3.2834028E-02
+
+            3.7010997E-02
+
+            4.1148015E-02
+
+            4.5454526E-02
+
+            4.9470264E-02
+
+            5.4447102E-02
+
+            5.8392796E-02
+
+            6.4249338E-02
+
+            6.8034422E-02
+
+            7.3189468E-02
+
+            8.1672467E-02
+
+            8.1260364E-02
+
+
+
+            6.0833777E-03
+
+            1.1517436E-02
+
+            1.1712978E-02
+
+            1.1032819E-02
+
+            1.1358893E-02
+
+            1.1208870E-02
+
+            1.1912352E-02
+
+            1.1958737E-02
+
+            1.2469851E-02
+
+            1.2881147E-02
+
+            1.3237414E-02
+
+            1.3873203E-02
+
+            1.4346868E-02
+
+            1.5065060E-02
+
+            1.5417558E-02
+
+            1.6865782E-02
+
+            1.7748238E-02
+
+            2.1647065E-02
+
+            2.4885779E-02
+
+            2.8999390E-02
+
+            3.2709869E-02
+
+            3.6878634E-02
+
+            4.1028900E-02
+
+            4.5288735E-02
+
+            4.9351482E-02
+
+            5.4263443E-02
+
+            5.8208019E-02
+
+            6.4026596E-02
+
+            6.7817431E-02
+
+            7.2944166E-02
+
+            8.1408951E-02
+
+            8.0980011E-02
+
+
+
+            6.0960595E-03
+
+            1.1509277E-02
+
+            1.1717750E-02
+
+            1.1016084E-02
+
+            1.1324287E-02
+
+            1.1181299E-02
+
+            1.1926512E-02
+
+            1.1924795E-02
+
+            1.2430825E-02
+
+            1.2836520E-02
+
+            1.3191644E-02
+
+            1.3847845E-02
+
+            1.4306693E-02
+
+            1.5047376E-02
+
+            1.5361189E-02
+
+            1.6797970E-02
+
+            1.7681035E-02
+
+            2.1572902E-02
+
+            2.4843981E-02
+
+            2.8950004E-02
+
+            3.2646669E-02
+
+            3.6798605E-02
+
+            4.0927881E-02
+
+            4.5165770E-02
+
+            4.9225435E-02
+
+            5.4165928E-02
+
+            5.8066998E-02
+
+            6.3897046E-02
+
+            6.7667188E-02
+
+            7.2785603E-02
+
+            8.1253392E-02
+
+            8.0864443E-02
+
+
+
+            6.0706294E-03
+
+            1.1507691E-02
+
+            1.1695334E-02
+
+            1.0977998E-02
+
+            1.1320263E-02
+
+            1.1167309E-02
+
+            1.1887145E-02
+
+            1.1908635E-02
+
+            1.2405259E-02
+
+            1.2838152E-02
+
+            1.3210507E-02
+
+            1.3849960E-02
+
+            1.4283591E-02
+
+            1.5028182E-02
+
+            1.5329706E-02
+
+            1.6759635E-02
+
+            1.7685388E-02
+
+            2.1572849E-02
+
+            2.4772494E-02
+
+            2.8864133E-02
+
+            3.2582677E-02
+
+            3.6784719E-02
+
+            4.0900801E-02
+
+            4.5137865E-02
+
+            4.9135372E-02
+
+            5.4093178E-02
+
+            5.8034149E-02
+
+            6.3786244E-02
+
+            6.7502120E-02
+
+            7.2584553E-02
+
+            8.1167082E-02
+
+            8.0688398E-02
+
+
+
+            6.0461907E-03
+
+            1.1481547E-02
+
+            1.1737058E-02
+
+            1.0999643E-02
+
+            1.1361089E-02
+
+            1.1125441E-02
+
+            1.1866202E-02
+
+            1.1842566E-02
+
+            1.2424994E-02
+
+            1.2799184E-02
+
+            1.3219862E-02
+
+            1.3773742E-02
+
+            1.4257782E-02
+
+            1.4972557E-02
+
+            1.5426839E-02
+
+            1.6740630E-02
+
+            1.7654390E-02
+
+            2.1573482E-02
+
+            2.4801577E-02
+
+            2.8800263E-02
+
+            3.2583876E-02
+
+            3.6801622E-02
+
+            4.0806074E-02
+
+            4.5107401E-02
+
+            4.9075545E-02
+
+            5.3960225E-02
+
+            5.7982974E-02
+
+            6.3859228E-02
+
+            6.7502946E-02
+
+            7.2470281E-02
+
+            8.1149466E-02
+
+            8.0629616E-02
+        </scatter>
+        <multiplicity>
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+
+
+            1.0000000E+00
+        </multiplicity>
+    </xsdata>
+
+
+</library>
\ No newline at end of file
diff --git a/tests/cleanup b/tests/cleanup
deleted file mode 100755
index 3369c797ee..0000000000
--- a/tests/cleanup
+++ /dev/null
@@ -1,10 +0,0 @@
-#!/bin/bash
-
-# This simple script ensures that all binary
-# output files have been deleted in all the
-# folders. This can occur if a previous error
-# occurred and the test suite was rerun without
-# deleting left over binary files. This will
-# cause an assertion error in some of the
-# tests.
-find . \( -name "*.h5" -o -name "*.ppm" \) -exec rm -f {} \;
diff --git a/tests/input_set.py b/tests/input_set.py
index 87b857f4a9..13c0e99a72 100644
--- a/tests/input_set.py
+++ b/tests/input_set.py
@@ -1,11 +1,13 @@
 import openmc
+from openmc.source import Source
+from openmc.stats import Box
 
 
 class InputSet(object):
     def __init__(self):
-        self.settings = openmc.SettingsFile()
-        self.materials = openmc.MaterialsFile()
-        self.geometry = openmc.GeometryFile()
+        self.settings = openmc.Settings()
+        self.materials = openmc.Materials()
+        self.geometry = openmc.Geometry()
         self.tallies = None
         self.plots = None
 
@@ -13,8 +15,10 @@ class InputSet(object):
         self.settings.export_to_xml()
         self.materials.export_to_xml()
         self.geometry.export_to_xml()
-        if self.tallies is not None: self.tallies.export_to_xml()
-        if self.plots is not None: self.plots.export_to_xml()
+        if self.tallies is not None:
+            self.tallies.export_to_xml()
+        if self.plots is not None:
+            self.plots.export_to_xml()
 
     def build_default_materials_and_geometry(self):
         # Define materials.
@@ -80,7 +84,7 @@ class InputSet(object):
         hot_water.add_s_alpha_beta('HH2O', '71t')
 
         rpv_steel = openmc.Material(name='Reactor pressure vessel steel',
-             material_id=5)
+                                    material_id=5)
         rpv_steel.set_density('g/cm3', 7.9)
         rpv_steel.add_nuclide("Fe-54", 0.05437098, 'wo')
         rpv_steel.add_nuclide("Fe-56", 0.88500663, 'wo')
@@ -111,7 +115,7 @@ class InputSet(object):
         rpv_steel.add_nuclide("Cu-65", 0.0006304, 'wo')
 
         lower_rad_ref = openmc.Material(name='Lower radial reflector',
-             material_id=6)
+                                        material_id=6)
         lower_rad_ref.set_density('g/cm3', 4.32)
         lower_rad_ref.add_nuclide("H-1", 0.0095661, 'wo')
         lower_rad_ref.add_nuclide("O-16", 0.0759107, 'wo')
@@ -187,7 +191,8 @@ class InputSet(object):
         bot_plate.add_nuclide("Cr-54", 0.004612692337, 'wo')
         bot_plate.add_s_alpha_beta('HH2O', '71t')
 
-        bot_nozzle = openmc.Material(name='Bottom nozzle region', material_id=9)
+        bot_nozzle = openmc.Material(name='Bottom nozzle region',
+                                     material_id=9)
         bot_nozzle.set_density('g/cm3', 2.53)
         bot_nozzle.add_nuclide("H-1", 0.0245014, 'wo')
         bot_nozzle.add_nuclide("O-16", 0.1944274, 'wo')
@@ -250,7 +255,8 @@ class InputSet(object):
         top_fa.add_nuclide("Zr-96", 0.02511169542, 'wo')
         top_fa.add_s_alpha_beta('HH2O', '71t')
 
-        bot_fa = openmc.Material(name='Bottom of fuel assemblies', material_id=12)
+        bot_fa = openmc.Material(name='Bottom of fuel assemblies',
+                                 material_id=12)
         bot_fa.set_density('g/cm3', 1.762)
         bot_fa.add_nuclide("H-1", 0.0292856, 'wo')
         bot_fa.add_nuclide("O-16", 0.2323919, 'wo')
@@ -265,9 +271,9 @@ class InputSet(object):
 
         # Define the materials file.
         self.materials.default_xs = '71c'
-        self.materials.add_materials((fuel, clad, cold_water, hot_water,
-             rpv_steel, lower_rad_ref, upper_rad_ref, bot_plate, bot_nozzle,
-             top_nozzle, top_fa, bot_fa))
+        self.materials += (fuel, clad, cold_water, hot_water, rpv_steel,
+                           lower_rad_ref, upper_rad_ref, bot_plate,
+                           bot_nozzle, top_nozzle, top_fa, bot_fa)
 
         # Define surfaces.
         s1 = openmc.ZCylinder(R=0.41, surface_id=1)
@@ -348,7 +354,6 @@ class InputSet(object):
         # Define fuel lattices.
         l100 = openmc.RectLattice(name='Fuel assembly (lower half)',
                                   lattice_id=100)
-        l100.dimension = (17, 17)
         l100.lower_left = (-10.71, -10.71)
         l100.pitch = (1.26, 1.26)
         l100.universes = [
@@ -382,7 +387,6 @@ class InputSet(object):
 
         l101 = openmc.RectLattice(name='Fuel assembly (upper half)',
                                   lattice_id=101)
-        l101.dimension = (17, 17)
         l101.lower_left = (-10.71, -10.71)
         l101.pitch = (1.26, 1.26)
         l101.universes = [
@@ -442,7 +446,6 @@ class InputSet(object):
         # Define core lattices
         l200 = openmc.RectLattice(name='Core lattice (lower half)',
                                   lattice_id=200)
-        l200.dimension = (21, 21)
         l200.lower_left = (-224.91, -224.91)
         l200.pitch = (21.42, 21.42)
         l200.universes = [
@@ -470,7 +473,6 @@ class InputSet(object):
 
         l201 = openmc.RectLattice(name='Core lattice (lower half)',
                                   lattice_id=201)
-        l201.dimension = (21, 21)
         l201.lower_left = (-224.91, -224.91)
         l201.pitch = (21.42, 21.42)
         l201.universes = [
@@ -548,17 +550,15 @@ class InputSet(object):
 
         root.add_cells((c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12))
 
-        # Define the geometry file.
-        geometry = openmc.Geometry()
-        geometry.root_universe = root
-
-        self.geometry.geometry = geometry
+        # Assign root universe to geometry
+        self.geometry.root_universe = root
 
     def build_default_settings(self):
         self.settings.batches = 10
         self.settings.inactive = 5
         self.settings.particles = 100
-        self.settings.set_source_space('box', (-160, -160, -183, 160, 160, 183))
+        self.settings.source = Source(space=Box(
+            [-160, -160, -183], [160, 160, 183]))
 
     def build_defualt_plots(self):
         plot = openmc.Plot()
@@ -569,3 +569,186 @@ class InputSet(object):
         plot.color = 'mat'
 
         self.plots.add_plot(plot)
+
+
+class PinCellInputSet(object):
+    def __init__(self):
+        self.settings = openmc.Settings()
+        self.materials = openmc.Materials()
+        self.geometry = openmc.Geometry()
+        self.tallies = None
+        self.plots = None
+
+    def export(self):
+        self.settings.export_to_xml()
+        self.materials.export_to_xml()
+        self.geometry.export_to_xml()
+        if self.tallies is not None:
+            self.tallies.export_to_xml()
+        if self.plots is not None:
+            self.plots.export_to_xml()
+
+    def build_default_materials_and_geometry(self):
+        # Define materials.
+        fuel = openmc.Material(name='Fuel')
+        fuel.set_density('g/cm3', 10.29769)
+        fuel.add_nuclide("U-234", 4.4843e-6)
+        fuel.add_nuclide("U-235", 5.5815e-4)
+        fuel.add_nuclide("U-238", 2.2408e-2)
+        fuel.add_nuclide("O-16", 4.5829e-2)
+
+        clad = openmc.Material(name='Cladding')
+        clad.set_density('g/cm3', 6.55)
+        clad.add_nuclide("Zr-90", 2.1827e-2)
+        clad.add_nuclide("Zr-91", 4.7600e-3)
+        clad.add_nuclide("Zr-92", 7.2758e-3)
+        clad.add_nuclide("Zr-94", 7.3734e-3)
+        clad.add_nuclide("Zr-96", 1.1879e-3)
+
+        hot_water = openmc.Material(name='Hot borated water')
+        hot_water.set_density('g/cm3', 0.740582)
+        hot_water.add_nuclide("H-1", 4.9457e-2)
+        hot_water.add_nuclide("O-16", 2.4672e-2)
+        hot_water.add_nuclide("B-10", 8.0042e-6)
+        hot_water.add_nuclide("B-11", 3.2218e-5)
+        hot_water.add_s_alpha_beta('HH2O', '71t')
+
+        # Define the materials file.
+        self.materials.default_xs = '71c'
+        self.materials += (fuel, clad, hot_water)
+
+        # Instantiate ZCylinder surfaces
+        fuel_or = openmc.ZCylinder(x0=0, y0=0, R=0.39218, name='Fuel OR')
+        clad_or = openmc.ZCylinder(x0=0, y0=0, R=0.45720, name='Clad OR')
+        left = openmc.XPlane(x0=-0.63, name='left')
+        right = openmc.XPlane(x0=0.63, name='right')
+        bottom = openmc.YPlane(y0=-0.63, name='bottom')
+        top = openmc.YPlane(y0=0.63, name='top')
+
+        left.boundary_type = 'reflective'
+        right.boundary_type = 'reflective'
+        top.boundary_type = 'reflective'
+        bottom.boundary_type = 'reflective'
+
+        # Instantiate Cells
+        fuel_pin = openmc.Cell(name='cell 1')
+        cladding = openmc.Cell(name='cell 3')
+        water = openmc.Cell(name='cell 2')
+
+        # Use surface half-spaces to define regions
+        fuel_pin.region = -fuel_or
+        cladding.region = +fuel_or & -clad_or
+        water.region = +clad_or & +left & -right & +bottom & -top
+
+        # Register Materials with Cells
+        fuel_pin.fill = fuel
+        cladding.fill = clad
+        water.fill = hot_water
+
+        # Instantiate Universe
+        root = openmc.Universe(universe_id=0, name='root universe')
+
+        # Register Cells with Universe
+        root.add_cells([fuel_pin, cladding, water])
+
+        # Instantiate a Geometry, register the root Universe, and export to XML
+        self.geometry.root_universe = root
+
+    def build_default_settings(self):
+        self.settings.batches = 10
+        self.settings.inactive = 5
+        self.settings.particles = 100
+        self.settings.source = Source(space=Box([-0.63, -0.63, -1],
+                                                [0.63, 0.63, 1],
+                                                only_fissionable=True))
+
+    def build_defualt_plots(self):
+        plot = openmc.Plot()
+        plot.filename = 'mat'
+        plot.origin = (0.0, 0.0, 0)
+        plot.width = (1.26, 1.26)
+        plot.pixels = (300, 300)
+        plot.color = 'mat'
+
+        self.plots.add_plot(plot)
+
+
+class MGInputSet(InputSet):
+    def build_default_materials_and_geometry(self):
+        # Define materials needed for 1D/1G slab problem
+        uo2_data = openmc.Macroscopic('uo2_iso', '71c')
+        uo2 = openmc.Material(name='UO2', material_id=1)
+        uo2.set_density('macro', 1.0)
+        uo2.add_macroscopic(uo2_data)
+
+        clad_data = openmc.Macroscopic('clad_ang_mu', '71c')
+        clad = openmc.Material(name='Clad', material_id=2)
+        clad.set_density('macro', 1.0)
+        clad.add_macroscopic(clad_data)
+
+        water_data = openmc.Macroscopic('lwtr_iso_mu', '71c')
+        water = openmc.Material(name='LWTR', material_id=3)
+        water.set_density('macro', 1.0)
+        water.add_macroscopic(water_data)
+
+        # Define the materials file.
+        self.materials.default_xs = '71c'
+        self.materials += (uo2, clad, water)
+
+        # Define surfaces.
+
+        # Assembly/Problem Boundary
+        left = openmc.XPlane(x0=0.0, surface_id=200,
+                             boundary_type='reflective')
+        right = openmc.XPlane(x0=10.0, surface_id=201,
+                              boundary_type='reflective')
+        bottom = openmc.YPlane(y0=0.0, surface_id=300,
+                               boundary_type='reflective')
+        top = openmc.YPlane(y0=10.0, surface_id=301,
+                            boundary_type='reflective')
+
+        down = openmc.ZPlane(z0=0.0, surface_id=0,
+                             boundary_type='reflective')
+        fuel_clad_intfc = openmc.ZPlane(z0=2.0, surface_id=1)
+        clad_lwtr_intfc = openmc.ZPlane(z0=2.4, surface_id=2)
+        up = openmc.ZPlane(z0=5.0, surface_id=3,
+                           boundary_type='reflective')
+
+        # Define cells
+        c1 = openmc.Cell(cell_id=1)
+        c1.region = +left & -right & +bottom & -top & +down & -fuel_clad_intfc
+        c1.fill = uo2
+        c2 = openmc.Cell(cell_id=2)
+        c2.region = +left & -right & +bottom & -top & +fuel_clad_intfc & -clad_lwtr_intfc
+        c2.fill = clad
+        c3 = openmc.Cell(cell_id=3)
+        c3.region = +left & -right & +bottom & -top & +clad_lwtr_intfc & -up
+        c3.fill = water
+
+        # Define root universe.
+        root = openmc.Universe(universe_id=0, name='root universe')
+
+        root.add_cells((c1, c2, c3))
+
+        # Assign root universe to geometry
+        self.geometry.root_universe = root
+
+    def build_default_settings(self):
+        self.settings.batches = 10
+        self.settings.inactive = 5
+        self.settings.particles = 100
+        self.settings.source = Source(space=Box([0.0, 0.0, 0.0],
+                                                [10.0, 10.0, 2.0]))
+        self.settings.energy_mode = "multi-group"
+        self.settings.cross_sections = "../1d_mgxs.xml"
+
+    def build_defualt_plots(self):
+        plot = openmc.Plot()
+        plot.filename = 'mat'
+        plot.origin = (5.0, 5.0, 2.5)
+        plot.width = (2.5, 2.5)
+        plot.basis = 'xz'
+        plot.pixels = (3000, 3000)
+        plot.color = 'mat'
+
+        self.plots.add_plot(plot)
diff --git a/tests/run_tests.py b/tests/run_tests.py
index 338732c142..87282055c2 100755
--- a/tests/run_tests.py
+++ b/tests/run_tests.py
@@ -8,7 +8,7 @@ import shutil
 import re
 import glob
 import socket
-from subprocess import call
+from subprocess import call, check_output
 from collections import OrderedDict
 from optparse import OptionParser
 
@@ -42,9 +42,10 @@ parser.add_option("-s", "--script", action="store_true", dest="script",
 
 # Default compiler paths
 FC='gfortran'
-MPI_DIR='/opt/mpich/3.1.3-gnu'
-HDF5_DIR='/opt/hdf5/1.8.15-gnu'
-PHDF5_DIR='/opt/phdf5/1.8.15-gnu'
+CC='gcc'
+MPI_DIR='/opt/mpich/3.2-gnu'
+HDF5_DIR='/opt/hdf5/1.8.16-gnu'
+PHDF5_DIR='/opt/phdf5/1.8.16-gnu'
 
 # Script mode for extra capability
 script_mode = False
@@ -52,6 +53,8 @@ script_mode = False
 # Override default compiler paths if environmental vars are found
 if 'FC' in os.environ:
     FC = os.environ['FC']
+if 'CC' in os.environ:
+    CC = os.environ['CC']
 if 'MPI_DIR' in os.environ:
     MPI_DIR = os.environ['MPI_DIR']
 if 'HDF5_DIR' in os.environ:
@@ -73,11 +76,13 @@ set(CTEST_UPDATE_COMMAND "git")
 set(CTEST_CONFIGURE_COMMAND "${{CMAKE_COMMAND}} -H${{CTEST_SOURCE_DIRECTORY}} -B${{CTEST_BINARY_DIRECTORY}} ${{CTEST_BUILD_OPTIONS}}")
 set(CTEST_MEMORYCHECK_COMMAND "{valgrind_cmd}")
 set(CTEST_MEMORYCHECK_COMMAND_OPTIONS "--tool=memcheck --leak-check=yes --show-reachable=yes --num-callers=20 --track-fds=yes")
-set(CTEST_MEMORYCHECK_SUPPRESSIONS_FILE ${{CTEST_SOURCE_DIRECTORY}}/../tests/valgrind.supp)
+#set(CTEST_MEMORYCHECK_SUPPRESSIONS_FILE ${{CTEST_SOURCE_DIRECTORY}}/../tests/valgrind.supp)
 set(MEM_CHECK {mem_check})
+if(MEM_CHECK)
 set(ENV{{MEM_CHECK}} ${{MEM_CHECK}})
+endif()
 
-set(CTEST_COVERAGE_COMMAND "{gcov_cmd}")
+set(CTEST_COVERAGE_COMMAND "gcov")
 set(COVERAGE {coverage})
 set(ENV{{COVERAGE}} ${{COVERAGE}})
 
@@ -87,9 +92,11 @@ ctest_start("{dashboard}")
 ctest_configure(RETURN_VALUE res)
 {update}
 ctest_build(RETURN_VALUE res)
+if(NOT MEM_CHECK)
 ctest_test({tests} PARALLEL_LEVEL {n_procs}, RETURN_VALUE res)
+endif()
 if(MEM_CHECK)
-ctest_memcheck({tests}, RETURN_VALUE res)
+ctest_memcheck({tests} RETURN_VALUE res)
 endif(MEM_CHECK)
 if(COVERAGE)
 ctest_coverage(RETURN_VALUE res)
@@ -105,6 +112,32 @@ endif()
 # Define test data structure
 tests = OrderedDict()
 
+def cleanup(path):
+    """Remove generated output files."""
+    for dirpath, dirnames, filenames in os.walk(path):
+        for fname in filenames:
+            for ext in ['.h5', '.ppm', '.voxel']:
+                if fname.endswith(ext):
+                    os.remove(os.path.join(dirpath, fname))
+
+
+def which(program):
+    def is_exe(fpath):
+        return os.path.isfile(fpath) and os.access(fpath, os.X_OK)
+
+    fpath, fname = os.path.split(program)
+    if fpath:
+        if is_exe(program):
+            return program
+    else:
+        for path in os.environ["PATH"].split(os.pathsep):
+            path = path.strip('"')
+            exe_file = os.path.join(path, program)
+            if is_exe(exe_file):
+                return exe_file
+    return None
+
+
 class Test(object):
     def __init__(self, name, debug=False, optimize=False, mpi=False, openmp=False,
                  phdf5=False, valgrind=False, coverage=False):
@@ -119,8 +152,6 @@ class Test(object):
         self.success = True
         self.msg = None
         self.skipped = False
-        self.valgrind_cmd = ""
-        self.gcov_cmd = ""
         self.cmake = ['cmake', '-H..', '-Bbuild',
                       '-DPYTHON_EXECUTABLE=' + sys.executable]
 
@@ -130,8 +161,10 @@ class Test(object):
                 self.fc = os.path.join(MPI_DIR, 'bin', 'mpifort')
             else:
                 self.fc = os.path.join(MPI_DIR, 'bin', 'mpif90')
+            self.cc = os.path.join(MPI_DIR, 'bin', 'mpicc')
         else:
             self.fc = FC
+            self.cc = CC
 
     # Sets the build name that will show up on the CDash
     def get_build_name(self):
@@ -161,6 +194,7 @@ class Test(object):
     # Runs the ctest script which performs all the cmake/ctest/cdash
     def run_ctest_script(self):
         os.environ['FC'] = self.fc
+        os.environ['CC'] = self.cc
         if self.mpi:
             os.environ['MPI_DIR'] = MPI_DIR
         if self.phdf5:
@@ -175,6 +209,7 @@ class Test(object):
     # Runs cmake when in non-script mode
     def run_cmake(self):
         os.environ['FC'] = self.fc
+        os.environ['CC'] = self.cc
         if self.mpi:
             os.environ['MPI_DIR'] = MPI_DIR
         if self.phdf5:
@@ -231,42 +266,6 @@ class Test(object):
             self.success = False
             self.msg = 'Failed on testing.'
 
-    # Checks to see if file exists in PWD or PATH
-    def check_compiler(self):
-        result = False
-        if os.path.isfile(self.fc):
-            result = True
-        for path in os.environ["PATH"].split(":"):
-            if os.path.isfile(os.path.join(path, self.fc)):
-                result = True
-        if not result:
-            self.msg = 'Compiler not found: {0}'.\
-                       format((os.path.join(path, self.fc)))
-            self.success = False
-
-    # Get valgrind command from user's environment
-    def find_valgrind(self):
-        result = False
-        for path in os.environ["PATH"].split(":"):
-            if os.path.isfile(os.path.join(path, 'valgrind')):
-                self.valgrind_cmd = os.path.join(path, 'valgrind')
-                result = True
-                break
-        if not result:
-            self.msg = 'valgrind not found.'
-            self.success = False
-
-    # Get coverage command from user's environment
-    def find_coverage(self):
-        result = False
-        for path in os.environ["PATH"].split(":"):
-            if os.path.isfile(os.path.join(path, 'gcov')):
-                self.gcov_cmd = os.path.join(path, 'gcov')
-                result = True
-                break
-        if not result:
-            self.msg = 'gcov not found.'
-            self.success = False
 
 # Simple function to add a test to the global tests dictionary
 def add_test(name, debug=False, optimize=False, mpi=False, openmp=False,\
@@ -308,9 +307,12 @@ if options.list_build_configs:
 
 # Delete items of dictionary that don't match regular expression
 if options.build_config is not None:
+    to_delete = []
     for key in tests:
         if not re.search(options.build_config, key):
-            del tests[key]
+            to_delete.append(key)
+    for key in to_delete:
+        del tests[key]
 
 # Check for dashboard and determine whether to push results to server
 # Note that there are only 3 basic dashboards:
@@ -342,7 +344,7 @@ else:
 # Setup CTest script vars. Not used in non-script mode
 pwd = os.getcwd()
 ctest_vars = {
-    'source_dir': os.path.join(pwd, '..'),
+    'source_dir': os.path.join(pwd, os.pardir),
     'build_dir': os.path.join(pwd, 'build'),
     'host_name': socket.gethostname(),
     'dashboard': dash,
@@ -363,18 +365,22 @@ else:
 # Set up default valgrind tests (subset of all tests)
 # Currently takes too long to run all the tests with valgrind
 # Only used in script mode
-valgrind_default_tests = "basic|cmfd_feed|confidence_intervals|\
-density_atombcm|eigenvalue_genperbatch|energy_grid|entropy|\
-filter_cell|lattice_multiple|output|plot_background|reflective_plane|\
-rotation|salphabeta_multiple|score_absorption|seed|source_energy_mono|\
+valgrind_default_tests = "cmfd_feed|confidence_intervals|\
+density|eigenvalue_genperbatch|energy_grid|entropy|\
+lattice_multiple|output|plotreflective_plane|\
+rotation|salphabetascore_absorption|seed|source_energy_mono|\
 sourcepoint_batch|statepoint_interval|survival_biasing|\
 tally_assumesep|translation|uniform_fs|universe|void"
 
 # Delete items of dictionary if valgrind or coverage and not in script mode
+to_delete = []
 if not script_mode:
     for key in tests:
         if re.search('valgrind|coverage', key):
-            del tests[key]
+            to_delete.append(key)
+
+for key in to_delete:
+    del tests[key]
 
 # Check if tests empty
 if len(list(tests.keys())) == 0:
@@ -383,7 +389,7 @@ if len(list(tests.keys())) == 0:
 
 # Begin testing
 shutil.rmtree('build', ignore_errors=True)
-call(['./cleanup']) # removes all binary and hdf5 output files from tests
+cleanup('.')
 for key in iter(tests):
     test = tests[key]
 
@@ -395,29 +401,34 @@ for key in iter(tests):
         sys.stdout.flush()
 
     # Verify fortran compiler exists
-    test.check_compiler()
-    if not test.success:
+    if which(test.fc) is None:
+        self.msg = 'Compiler not found: {0}'.format(test.fc)
+        self.success = False
         continue
 
-    # Get valgrind command
+    # Verify valgrind command exists
     if test.valgrind:
-        test.find_valgrind()
-    if not test.success:
-        continue
+        valgrind_cmd = which('valgrind')
+        if valgrind_cmd is None:
+            self.msg = 'No valgrind executable found.'
+            self.success = False
+            continue
+    else:
+        valgrind_cmd = ''
 
-    # Get coverage command
+    # Verify gcov/lcov exist
     if test.coverage:
-        test.find_coverage()
-    if not test.success:
-        continue
+        if which('gcov') is None:
+            self.msg = 'No {} executable found.'.format(exe)
+            self.success = False
+            continue
 
     # Set test specific CTest script vars. Not used in non-script mode
-    ctest_vars.update({'build_name' : test.get_build_name()})
-    ctest_vars.update({'build_opts' : test.get_build_opts()})
-    ctest_vars.update({'mem_check'  : test.valgrind})
-    ctest_vars.update({'coverage'  : test.coverage})
-    ctest_vars.update({'valgrind_cmd'  : test.valgrind_cmd})
-    ctest_vars.update({'gcov_cmd'  : test.gcov_cmd})
+    ctest_vars.update({'build_name': test.get_build_name()})
+    ctest_vars.update({'build_opts': test.get_build_opts()})
+    ctest_vars.update({'mem_check': test.valgrind})
+    ctest_vars.update({'coverage': test.coverage})
+    ctest_vars.update({'valgrind_cmd': valgrind_cmd})
 
     # Check for user custom tests
     # INCLUDE is a CTest command that allows for a subset
@@ -458,7 +469,7 @@ for key in iter(tests):
         test.run_ctests()
 
         # Leave build directory
-        os.chdir('..')
+        os.chdir(os.pardir)
 
     # Copy over log file
     if script_mode:
@@ -471,11 +482,37 @@ for key in iter(tests):
         logfilename = logfilename + '_{0}.log'.format(test.name)
         shutil.copy(logfile[0], logfilename)
 
+    # For coverage builds, use lcov to generate HTML output
+    if test.coverage:
+        if which('lcov') is None or which('genhtml') is None:
+            print('No lcov/genhtml command found. '
+                  'Could not generate coverage report.')
+        else:
+            shutil.rmtree('coverage', ignore_errors=True)
+            call(['lcov', '--directory', '.', '--capture',
+                  '--output-file', 'coverage.info'])
+            call(['genhtml', '--output-directory', 'coverage', 'coverage.info'])
+            os.remove('coverage.info')
+
+    if test.valgrind:
+        # Copy memcheck output to memcheck directory
+        shutil.rmtree('memcheck', ignore_errors=True)
+        os.mkdir('memcheck')
+        memcheck_out = glob.glob('build/Testing/Temporary/MemoryChecker.*.log')
+        for fname in memcheck_out:
+            shutil.copy(fname, 'memcheck/')
+
+        # Remove generated XML files
+        xml_files = check_output(['git', 'ls-files', '.',  '--exclude-standard',
+                                  '--others']).split()
+        for f in xml_files:
+            os.remove(f)
+
     # Clear build directory and remove binary and hdf5 files
     shutil.rmtree('build', ignore_errors=True)
     if script_mode:
         os.remove('ctestscript.run')
-    call(['./cleanup'])
+    cleanup('.')
 
 # Print out summary of results
 print('\n' + '='*54)
diff --git a/tests/test_asymmetric_lattice/inputs_true.dat b/tests/test_asymmetric_lattice/inputs_true.dat
new file mode 100644
index 0000000000..f40e661b33
--- /dev/null
+++ b/tests/test_asymmetric_lattice/inputs_true.dat
@@ -0,0 +1 @@
+9b859eb5501c05b6a652d299bd0cadc0a924ffae31117babbdc9f7f8ca87689322c275818eb0dde0ff5fa78317d8d8f1585b18dcc772e3ff4ed499de8a491dc3
\ No newline at end of file
diff --git a/tests/test_asymmetric_lattice/results_true.dat b/tests/test_asymmetric_lattice/results_true.dat
new file mode 100644
index 0000000000..a33b9c9e59
--- /dev/null
+++ b/tests/test_asymmetric_lattice/results_true.dat
@@ -0,0 +1 @@
+bc8bef8121f9b6470e4fea817a4e48eabb1ecba1f42761a4cbd77d71181bf9e1612df4a3d6ddfbcd08a3086ac873e5f3c3e560bf96b2b7c959a2f7aad7e4e08d
\ No newline at end of file
diff --git a/tests/test_asymmetric_lattice/test_asymmetric_lattice.py b/tests/test_asymmetric_lattice/test_asymmetric_lattice.py
new file mode 100644
index 0000000000..40def1f623
--- /dev/null
+++ b/tests/test_asymmetric_lattice/test_asymmetric_lattice.py
@@ -0,0 +1,118 @@
+#!/usr/bin/env python
+
+import os
+import sys
+import glob
+import hashlib
+sys.path.insert(0, os.pardir)
+from testing_harness import PyAPITestHarness
+import openmc
+
+
+class AsymmetricLatticeTestHarness(PyAPITestHarness):
+
+    def _build_inputs(self):
+        """Build an axis-asymmetric lattice of fuel assemblies"""
+
+        # Build full core geometry from underlying input set
+        self._input_set.build_default_materials_and_geometry()
+
+        # Extract universes encapsulating fuel and water assemblies
+        geometry = self._input_set.geometry
+        water = geometry.get_universes_by_name('water assembly (hot)')[0]
+        fuel = geometry.get_universes_by_name('fuel assembly (hot)')[0]
+
+        # Construct a 3x3 lattice of fuel assemblies
+        core_lat = openmc.RectLattice(name='3x3 Core Lattice', lattice_id=202)
+        core_lat.lower_left = (-32.13, -32.13)
+        core_lat.pitch = (21.42, 21.42)
+        core_lat.universes = [[fuel,  water, water],
+                              [fuel,  fuel,  fuel],
+                              [water, water, water]]
+
+        # Create bounding surfaces
+        min_x = openmc.XPlane(x0=-32.13, boundary_type='reflective')
+        max_x = openmc.XPlane(x0=+32.13, boundary_type='reflective')
+        min_y = openmc.YPlane(y0=-32.13, boundary_type='reflective')
+        max_y = openmc.YPlane(y0=+32.13, boundary_type='reflective')
+        min_z = openmc.ZPlane(z0=0, boundary_type='reflective')
+        max_z = openmc.ZPlane(z0=+32.13, boundary_type='reflective')
+
+        # Define root universe
+        root_univ = openmc.Universe(universe_id=0, name='root universe')
+        root_cell = openmc.Cell(cell_id=1)
+        root_cell.region = +min_x & -max_x & +min_y & -max_y & +min_z & -max_z
+        root_cell.fill = core_lat
+        root_univ.add_cell(root_cell)
+
+        # Over-ride geometry in the input set with this 3x3 lattice
+        self._input_set.geometry.root_universe = root_univ
+
+        # Initialize a "distribcell" filter for the fuel pin cell
+        distrib_filter = openmc.Filter(type='distribcell', bins=[27])
+
+        # Initialize the tallies
+        tally = openmc.Tally(name='distribcell tally', tally_id=27)
+        tally.filters.append(distrib_filter)
+        tally.scores.append('nu-fission')
+
+        # Initialize the tallies file
+        tallies_file = openmc.Tallies([tally])
+
+        # Assign the tallies file to the input set
+        self._input_set.tallies = tallies_file
+
+        # Build default settings
+        self._input_set.build_default_settings()
+
+        # Specify summary output and correct source sampling box
+        source = openmc.Source(space=openmc.stats.Box([-32, -32, 0], [32, 32, 32]))
+        source.space.only_fissionable = True
+        self._input_set.settings.source = source
+        self._input_set.settings.output = {'summary': True}
+
+        # Write input XML files
+        self._input_set.export()
+
+    def _get_results(self, hash_output=True):
+        """Digest info in statepoint and summary and return as a string."""
+
+        # Read the statepoint file
+        statepoint = glob.glob(os.path.join(os.getcwd(), self._sp_name))[0]
+        sp = openmc.StatePoint(statepoint)
+
+        # Extract the tally of interest
+        tally = sp.get_tally(name='distribcell tally')
+
+        # Create a string of all mean, std. dev. values for both tallies
+        outstr = ''
+        outstr += ', '.join(map(str, tally.mean.flatten())) + '\n'
+        outstr += ', '.join(map(str, tally.std_dev.flatten())) + '\n'
+
+        # Extract fuel assembly lattices from the summary
+        core = sp.summary.get_cell_by_id(1)
+        fuel = sp.summary.get_cell_by_id(80)
+        fuel = fuel.fill
+        core = core.fill
+
+        # Append a string of lattice distribcell offsets to the string
+        outstr += ', '.join(map(str, fuel.offsets.flatten())) + '\n'
+        outstr += ', '.join(map(str, core.offsets.flatten())) + '\n'
+
+        # Hash the results if necessary
+        if hash_output:
+            sha512 = hashlib.sha512()
+            sha512.update(outstr.encode('utf-8'))
+            outstr = sha512.hexdigest()
+
+        return outstr
+
+    def _cleanup(self):
+        super(AsymmetricLatticeTestHarness, self)._cleanup()
+        f = os.path.join(os.getcwd(), 'tallies.xml')
+        if os.path.exists(f): os.remove(f)
+
+
+if __name__ == '__main__':
+    harness = AsymmetricLatticeTestHarness('statepoint.10.h5', True)
+    harness.main()
diff --git a/tests/test_basic/geometry.xml b/tests/test_basic/geometry.xml
deleted file mode 100644
index bc56030e18..0000000000
--- a/tests/test_basic/geometry.xml
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0"?>
-<geometry>
-
-  <!-- Sphere with radius 10 -->
-  <surface id="1" type="sphere" coeffs="0 0 0 10" boundary="vacuum"/>
-  <cell id="1" material="1" region="-1" />
-    
-</geometry>
diff --git a/tests/test_basic/materials.xml b/tests/test_basic/materials.xml
deleted file mode 100644
index 315c0fa848..0000000000
--- a/tests/test_basic/materials.xml
+++ /dev/null
@@ -1,9 +0,0 @@
-<?xml version="1.0"?>
-<materials>
-
-  <material id="1">
-    <density value="4.5" units="g/cc" />
-    <nuclide name="U-235" xs="71c" ao="1.0" />
-  </material>
-
-</materials>
diff --git a/tests/test_basic/results_true.dat b/tests/test_basic/results_true.dat
deleted file mode 100644
index 5263a6b7fd..0000000000
--- a/tests/test_basic/results_true.dat
+++ /dev/null
@@ -1,2 +0,0 @@
-k-combined:
-3.021779E-01 3.813358E-03
diff --git a/tests/test_cmfd_feed/results_true.dat b/tests/test_cmfd_feed/results_true.dat
index 9c109db6ab..4579fa5459 100644
--- a/tests/test_cmfd_feed/results_true.dat
+++ b/tests/test_cmfd_feed/results_true.dat
@@ -1,128 +1,128 @@
 k-combined:
-1.168349E+00 1.145333E-02
+1.169891E+00 6.289481E-03
 tally 1:
-1.167844E+01
-1.366808E+01
-2.141846E+01
-4.598143E+01
-2.928738E+01
-8.615095E+01
-3.513015E+01
-1.241914E+02
-3.715164E+01
-1.384553E+02
-3.639309E+01
-1.327919E+02
-3.370872E+01
-1.138391E+02
-2.875251E+01
-8.292323E+01
-2.117740E+01
-4.512961E+01
-1.130554E+01
-1.289872E+01
+1.173921E+01
+1.385460E+01
+2.164076E+01
+4.699369E+01
+2.906462E+01
+8.464935E+01
+3.382312E+01
+1.147095E+02
+3.632006E+01
+1.323878E+02
+3.655412E+01
+1.341064E+02
+3.347756E+01
+1.124264E+02
+2.931337E+01
+8.607243E+01
+2.182947E+01
+4.789563E+01
+1.147668E+01
+1.325716E+01
 tally 2:
-2.339531E+01
-2.755922E+01
-1.646762E+01
-1.365289E+01
-2.146174E+00
-2.369613E-01
-4.309769E+01
-9.312913E+01
-3.054873E+01
-4.681242E+01
-4.076365E+00
-8.462370E-01
-5.840647E+01
-1.715260E+02
-4.161366E+01
-8.713062E+01
-5.382541E+00
-1.473814E+00
-6.927641E+01
-2.411359E+02
-4.943841E+01
-1.228850E+02
-6.282202E+00
-1.990021E+00
-7.308593E+01
-2.678848E+02
-5.202069E+01
-1.357621E+02
-6.826145E+00
-2.353974E+00
-7.117026E+01
-2.543546E+02
-5.068896E+01
-1.290261E+02
-6.342979E+00
-2.033850E+00
-6.615720E+01
-2.193712E+02
-4.725156E+01
-1.119514E+02
-6.024815E+00
-1.833752E+00
-5.738164E+01
-1.651944E+02
-4.081217E+01
-8.360122E+01
-5.326191E+00
-1.435896E+00
-4.208669E+01
-8.911740E+01
-2.994944E+01
-4.517409E+01
-3.905846E+00
-7.855247E-01
-2.273578E+01
-2.615080E+01
-1.603853E+01
-1.303560E+01
-2.160924E+00
-2.473278E-01
+2.298190E+01
+2.667071E+01
+1.600292E+01
+1.293670E+01
+2.252427E+00
+2.605738E-01
+4.268506E+01
+9.161215E+01
+3.022909E+01
+4.598915E+01
+3.873926E+00
+7.615035E-01
+5.680399E+01
+1.623878E+02
+4.033805E+01
+8.196263E+01
+5.280610E+00
+1.414008E+00
+6.814741E+01
+2.331778E+02
+4.851618E+01
+1.182330E+02
+6.261805E+00
+1.983205E+00
+7.392922E+01
+2.740255E+02
+5.253586E+01
+1.384152E+02
+6.733810E+00
+2.278242E+00
+7.332860E+01
+2.698608E+02
+5.227405E+01
+1.371810E+02
+6.714658E+00
+2.273652E+00
+6.830172E+01
+2.340687E+02
+4.867159E+01
+1.188724E+02
+6.215002E+00
+1.956978E+00
+5.885634E+01
+1.736180E+02
+4.170434E+01
+8.719622E+01
+5.253064E+00
+1.396224E+00
+4.372001E+01
+9.593570E+01
+3.106511E+01
+4.844647E+01
+3.817991E+00
+7.509063E-01
+2.338260E+01
+2.752103E+01
+1.636606E+01
+1.347591E+01
+2.220013E+00
+2.515671E-01
 tally 3:
-1.584939E+01
-1.265206E+01
-1.096930E+00
-6.173135E-02
-2.940258E+01
-4.337818E+01
-1.932931E+00
-1.884749E-01
-4.008186E+01
-8.086427E+01
-2.512704E+00
-3.189987E-01
-4.759648E+01
-1.139252E+02
-3.041630E+00
-4.683237E-01
-5.006181E+01
-1.257467E+02
-3.137042E+00
-4.981005E-01
-4.883211E+01
-1.197646E+02
-3.130686E+00
-4.987337E-01
-4.550029E+01
-1.038199E+02
-2.853740E+00
-4.127265E-01
-3.937822E+01
-7.785807E+01
-2.488983E+00
-3.156421E-01
-2.884912E+01
-4.192640E+01
-1.855316E+00
-1.745109E-01
-1.543635E+01
-1.208459E+01
-1.025635E+00
-5.351565E-02
+1.538752E+01
+1.196478E+01
+1.079685E+00
+6.010786E-02
+2.911906E+01
+4.269070E+01
+1.822657E+00
+1.671851E-01
+3.885421E+01
+7.608218E+01
+2.541517E+00
+3.262452E-01
+4.673300E+01
+1.097036E+02
+2.885308E+00
+4.214444E-01
+5.059247E+01
+1.283984E+02
+3.222797E+00
+5.237329E-01
+5.034856E+01
+1.272538E+02
+3.230225E+00
+5.273425E-01
+4.688476E+01
+1.103152E+02
+2.941287E+00
+4.363750E-01
+4.013746E+01
+8.077506E+01
+2.634234E+00
+3.520271E-01
+2.996995E+01
+4.510282E+01
+1.946504E+00
+1.919104E-01
+1.575153E+01
+1.248536E+01
+1.020705E+00
+5.413570E-02
 tally 4:
 0.000000E+00
 0.000000E+00
@@ -160,8 +160,8 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-3.119914E+00
-4.908283E-01
+3.049469E+00
+4.677325E-01
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -208,10 +208,10 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-5.567786E+00
-1.556825E+00
-2.766088E+00
-3.864023E-01
+5.514939E+00
+1.528899E+00
+2.770358E+00
+3.879191E-01
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -256,10 +256,10 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-7.491891E+00
-2.819491E+00
-5.235154E+00
-1.377898E+00
+7.294002E+00
+2.675589E+00
+5.032131E+00
+1.275040E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -304,10 +304,10 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-8.810357E+00
-3.898704E+00
-7.233068E+00
-2.630659E+00
+8.668860E+00
+3.776102E+00
+7.036008E+00
+2.490719E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -352,10 +352,10 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-9.374583E+00
-4.414420E+00
-8.565683E+00
-3.687428E+00
+9.345868E+00
+4.380719E+00
+8.352414E+00
+3.501945E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -400,10 +400,10 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-9.001252E+00
-4.073267E+00
-8.974821E+00
-4.050120E+00
+9.223771E+00
+4.270119E+00
+9.093766E+00
+4.158282E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -448,10 +448,10 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-8.236452E+00
-3.401934E+00
-9.042286E+00
-4.102906E+00
+8.530966E+00
+3.651778E+00
+9.219150E+00
+4.264346E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -496,10 +496,10 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-7.028546E+00
-2.482380E+00
-8.577643E+00
-3.691947E+00
+7.204424E+00
+2.604203E+00
+8.690373E+00
+3.785262E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -544,10 +544,10 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-5.159585E+00
-1.342512E+00
-7.389236E+00
-2.745028E+00
+5.326721E+00
+1.426975E+00
+7.513640E+00
+2.833028E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -592,10 +592,10 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-2.762685E+00
-3.914181E-01
-5.471849E+00
-1.509910E+00
+2.847310E+00
+4.090440E-01
+5.661144E+00
+1.607138E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -642,8 +642,8 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-3.038522E+00
-4.643520E-01
+3.025812E+00
+4.597241E-01
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -662,114 +662,114 @@ k cmfd
 0.000000E+00
 0.000000E+00
 0.000000E+00
-1.180802E+00
-1.162698E+00
-1.162794E+00
-1.159752E+00
-1.152596E+00
-1.151652E+00
-1.148131E+00
-1.151875E+00
-1.151434E+00
-1.158833E+00
-1.160751E+00
-1.155305E+00
-1.155356E+00
-1.158866E+00
-1.161574E+00
-1.154691E+00
+1.170416E+00
+1.172966E+00
+1.165537E+00
+1.170979E+00
+1.161922E+00
+1.157523E+00
+1.158873E+00
+1.162877E+00
+1.167102E+00
+1.168130E+00
+1.170570E+00
+1.168115E+00
+1.174081E+00
+1.169458E+00
+1.167848E+00
+1.165116E+00
 cmfd entropy
 0.000000E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
-3.214195E+00
-3.225164E+00
-3.227316E+00
-3.225663E+00
-3.226390E+00
-3.225832E+00
-3.226707E+00
-3.227866E+00
-3.229948E+00
-3.229269E+00
-3.230044E+00
-3.231568E+00
-3.234694E+00
-3.234771E+00
-3.234915E+00
-3.235876E+00
+3.203643E+00
+3.207943E+00
+3.213367E+00
+3.214360E+00
+3.219634E+00
+3.222232E+00
+3.221744E+00
+3.224544E+00
+3.225990E+00
+3.227769E+00
+3.227417E+00
+3.230728E+00
+3.231662E+00
+3.233316E+00
+3.233193E+00
+3.232564E+00
 cmfd balance
 0.000000E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
-4.742525E-03
-2.646417E-03
-1.981783E-03
-1.856593E-03
-1.797685E-03
-2.122587E-03
-1.200823E-03
-2.177249E-03
-1.442840E-03
-1.477754E-03
-1.236325E-03
-1.048988E-03
-8.395164E-04
-7.380254E-04
-7.742837E-04
-8.235911E-04
+4.009063E-03
+4.431773E-03
+3.152698E-03
+3.510424E-03
+2.052087E-03
+2.068633E-03
+1.502416E-03
+1.589822E-03
+1.566016E-03
+1.219159E-03
+1.017888E-03
+9.771569E-04
+1.010126E-03
+1.073397E-03
+1.172784E-03
+9.827488E-04
 cmfd dominance ratio
  0.000E+00
  0.000E+00
  0.000E+00
  0.000E+00
- 5.467E-01
- 5.518E-01
- 5.535E-01
- 5.500E-01
+ 5.397E-01
+ 5.425E-01
  5.481E-01
- 5.478E-01
- 5.467E-01
- 5.465E-01
- 5.493E-01
- 5.488E-01
- 5.491E-01
+ 5.473E-01
  5.503E-01
- 5.529E-01
- 5.531E-01
- 5.534E-01
- 5.552E-01
+ 5.502E-01
+ 5.483E-01
+ 5.520E-01
+ 5.505E-01
+ 3.216E-01
+ 5.373E-01
+ 5.517E-01
+ 5.508E-01
+ 5.524E-01
+ 5.524E-01
+ 5.523E-01
 cmfd openmc source comparison
 0.000000E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
-9.168094E-03
-5.978693E-03
-4.369223E-03
-4.546309E-03
-4.222522E-03
-4.221686E-03
-4.604208E-03
-3.950286E-03
-2.939283E-03
-3.667020E-03
-2.592899E-03
-2.272158E-03
-1.229170E-03
-1.114150E-03
-1.060490E-03
-1.714222E-03
+6.959835E-03
+5.655657E-03
+3.886178E-03
+4.035110E-03
+3.043277E-03
+5.455479E-03
+4.515313E-03
+2.439842E-03
+2.114036E-03
+2.673135E-03
+2.431753E-03
+4.330931E-03
+3.404650E-03
+3.680302E-03
+3.309625E-03
+3.705544E-03
 cmfd source
-4.724285E-02
-8.305825E-02
-1.081058E-01
-1.314542E-01
-1.357299E-01
-1.359417E-01
-1.240918E-01
-1.087580E-01
-8.111239E-02
-4.450518E-02
+4.697085E-02
+7.920706E-02
+1.107968E-01
+1.250932E-01
+1.383930E-01
+1.380648E-01
+1.246874E-01
+1.113705E-01
+8.203754E-02
+4.337882E-02
diff --git a/tests/test_cmfd_nofeed/results_true.dat b/tests/test_cmfd_nofeed/results_true.dat
index 308dd7d827..d8a17d676b 100644
--- a/tests/test_cmfd_nofeed/results_true.dat
+++ b/tests/test_cmfd_nofeed/results_true.dat
@@ -1,128 +1,128 @@
 k-combined:
-1.171115E+00 6.173328E-03
+1.167381E+00 9.433736E-03
 tally 1:
-1.151618E+01
-1.331859E+01
-2.120660E+01
-4.514836E+01
-2.759616E+01
-7.639131E+01
-3.216668E+01
-1.036501E+02
-3.664720E+01
-1.345450E+02
-3.771246E+01
-1.424209E+02
-3.523750E+01
-1.245225E+02
-2.973298E+01
-8.860064E+01
-2.152108E+01
-4.647187E+01
-1.169538E+01
-1.375047E+01
+1.196136E+01
+1.442468E+01
+2.133857E+01
+4.600706E+01
+2.874353E+01
+8.287538E+01
+3.400779E+01
+1.158949E+02
+3.736443E+01
+1.398466E+02
+3.705095E+01
+1.376767E+02
+3.486173E+01
+1.220362E+02
+2.910935E+01
+8.507181E+01
+2.034762E+01
+4.156717E+01
+1.074970E+01
+1.160733E+01
 tally 2:
-2.274639E+01
-2.606952E+01
-1.588200E+01
-1.270445E+01
-2.140989E+00
-2.357207E-01
-4.205792E+01
-8.880940E+01
-2.970000E+01
-4.427086E+01
-3.919645E+00
-7.773724E-01
-5.560960E+01
-1.559764E+02
-3.947900E+01
-7.872700E+01
-5.238942E+00
-1.400918E+00
-6.492259E+01
-2.117369E+02
-4.612200E+01
-1.069035E+02
-5.989449E+00
-1.813201E+00
-7.217377E+01
-2.608499E+02
-5.148500E+01
-1.327923E+02
-6.607336E+00
-2.205529E+00
-7.305896E+01
-2.681514E+02
-5.187500E+01
-1.352457E+02
-6.722921E+00
-2.290262E+00
-6.884269E+01
-2.380550E+02
-4.904800E+01
-1.208314E+02
-6.177320E+00
-1.927173E+00
-5.902100E+01
-1.748370E+02
-4.201000E+01
-8.858460E+01
-5.542381E+00
-1.549108E+00
-4.268091E+01
-9.151405E+01
-3.029500E+01
-4.614050E+01
-3.822093E+00
-7.420139E-01
-2.362279E+01
-2.812041E+01
-1.653100E+01
-1.377737E+01
-2.336090E+00
-2.851840E-01
+2.321994E+01
+2.726751E+01
+1.624000E+01
+1.334217E+01
+2.239367E+00
+2.607315E-01
+4.184801E+01
+8.813953E+01
+2.955600E+01
+4.401685E+01
+3.937924E+00
+7.877545E-01
+5.620223E+01
+1.589242E+02
+3.981400E+01
+7.983679E+01
+5.183337E+00
+1.367303E+00
+6.834724E+01
+2.342244E+02
+4.869600E+01
+1.189597E+02
+6.288549E+00
+1.997858E+00
+7.481522E+01
+2.802998E+02
+5.346500E+01
+1.431835E+02
+6.691123E+00
+2.252645E+00
+7.381412E+01
+2.733775E+02
+5.269700E+01
+1.393729E+02
+6.846095E+00
+2.360683E+00
+6.907775E+01
+2.396751E+02
+4.918500E+01
+1.215909E+02
+6.400076E+00
+2.073871E+00
+5.783260E+01
+1.680814E+02
+4.107800E+01
+8.480751E+01
+5.269220E+00
+1.404986E+00
+4.120212E+01
+8.516646E+01
+2.930300E+01
+4.310295E+01
+3.730803E+00
+7.015777E-01
+2.228419E+01
+2.504033E+01
+1.554100E+01
+1.217931E+01
+2.126451E+00
+2.315275E-01
 tally 3:
-1.524100E+01
-1.171023E+01
-1.071050E+00
-5.839198E-02
-2.862800E+01
-4.113148E+01
-1.892774E+00
-1.812712E-01
-3.804600E+01
-7.316097E+01
-2.423654E+00
-2.968521E-01
-4.434600E+01
-9.882906E+01
-2.823929E+00
-4.033633E-01
-4.955300E+01
-1.230293E+02
-3.226029E+00
-5.265680E-01
-4.999400E+01
-1.256474E+02
-3.232464E+00
-5.286388E-01
-4.724300E+01
-1.121029E+02
-3.015553E+00
-4.606928E-01
-4.051300E+01
-8.239672E+01
-2.592073E+00
-3.412174E-01
-2.912700E+01
-4.265700E+01
-1.875109E+00
-1.785438E-01
-1.593500E+01
-1.280638E+01
-1.038638E+00
-5.538157E-02
+1.561100E+01
+1.233967E+01
+1.095984E+00
+6.181387E-02
+2.847800E+01
+4.088161E+01
+1.815210E+00
+1.669969E-01
+3.834200E+01
+7.408022E+01
+2.446117E+00
+3.017834E-01
+4.687600E+01
+1.102381E+02
+2.954924E+00
+4.412809E-01
+5.155100E+01
+1.331461E+02
+3.204714E+00
+5.178544E-01
+5.067700E+01
+1.289238E+02
+3.246710E+00
+5.326374E-01
+4.738600E+01
+1.128834E+02
+3.035962E+00
+4.640211E-01
+3.953600E+01
+7.858196E+01
+2.507574E+00
+3.186456E-01
+2.819300E+01
+3.991455E+01
+1.846612E+00
+1.725570E-01
+1.497500E+01
+1.131312E+01
+9.213728E-01
+4.422001E-02
 tally 4:
 0.000000E+00
 0.000000E+00
@@ -160,8 +160,8 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-3.065000E+00
-4.742170E-01
+3.090000E+00
+4.810640E-01
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -208,10 +208,10 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-5.420000E+00
-1.474674E+00
-2.693000E+00
-3.667090E-01
+5.555000E+00
+1.551579E+00
+2.833000E+00
+4.078910E-01
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -256,10 +256,10 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-7.243000E+00
-2.637431E+00
-5.092000E+00
-1.305200E+00
+7.271000E+00
+2.659755E+00
+5.095000E+00
+1.310819E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -304,10 +304,10 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-8.280000E+00
-3.445670E+00
-6.765000E+00
-2.307253E+00
+8.577000E+00
+3.703215E+00
+7.026000E+00
+2.486552E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -352,10 +352,10 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-8.980000E+00
-4.046484E+00
-8.108000E+00
-3.299338E+00
+9.393000E+00
+4.422429E+00
+8.572000E+00
+3.680852E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -400,10 +400,10 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-9.016000E+00
-4.079320E+00
-8.962000E+00
-4.034032E+00
+9.265000E+00
+4.305625E+00
+9.261000E+00
+4.304411E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -448,10 +448,10 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-8.465000E+00
-3.595665E+00
-9.296000E+00
-4.340524E+00
+8.535000E+00
+3.659395E+00
+9.303000E+00
+4.350791E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -496,10 +496,10 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-7.247000E+00
-2.638527E+00
-8.865000E+00
-3.946315E+00
+7.104000E+00
+2.544182E+00
+8.693000E+00
+3.799545E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -544,10 +544,10 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-5.179000E+00
-1.353661E+00
-7.492000E+00
-2.817588E+00
+5.168000E+00
+1.344390E+00
+7.334000E+00
+2.700052E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -592,10 +592,10 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-2.821000E+00
-4.067990E-01
-5.617000E+00
-1.587757E+00
+2.724000E+00
+3.745680E-01
+5.416000E+00
+1.471086E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -642,8 +642,8 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-3.134000E+00
-4.937920E-01
+2.960000E+00
+4.397840E-01
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -662,114 +662,114 @@ k cmfd
 0.000000E+00
 0.000000E+00
 0.000000E+00
-1.180802E+00
-1.163440E+00
-1.148572E+00
-1.151423E+00
-1.143374E+00
-1.144091E+00
-1.146212E+00
-1.144900E+00
-1.153511E+00
-1.158766E+00
-1.159179E+00
-1.156627E+00
-1.160647E+00
-1.162860E+00
-1.164312E+00
-1.164928E+00
+1.170416E+00
+1.172572E+00
+1.171159E+00
+1.170281E+00
+1.159698E+00
+1.151967E+00
+1.146706E+00
+1.147137E+00
+1.152154E+00
+1.156980E+00
+1.156370E+00
+1.155975E+00
+1.155295E+00
+1.154881E+00
+1.153714E+00
+1.159485E+00
 cmfd entropy
 0.000000E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
-3.214195E+00
-3.222259E+00
-3.225989E+00
-3.230436E+00
-3.228875E+00
-3.229003E+00
-3.228502E+00
-3.230397E+00
-3.231417E+00
-3.231192E+00
-3.229995E+00
-3.229396E+00
-3.228730E+00
-3.228091E+00
-3.227600E+00
-3.229723E+00
+3.203643E+00
+3.204555E+00
+3.210935E+00
+3.213980E+00
+3.219204E+00
+3.222234E+00
+3.226210E+00
+3.226808E+00
+3.224445E+00
+3.222460E+00
+3.222458E+00
+3.222447E+00
+3.220832E+00
+3.220841E+00
+3.221580E+00
+3.220523E+00
 cmfd balance
 0.000000E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
-4.742525E-03
-3.110598E-03
-2.490108E-03
-2.114137E-03
-2.190200E-03
-3.281877E-03
-2.219193E-03
-2.458372E-03
-2.200863E-03
-2.181858E-03
-2.064212E-03
-1.961178E-03
-1.713250E-03
-1.665361E-03
-1.436016E-03
-1.193462E-03
+4.009063E-03
+4.869662E-03
+2.997290E-03
+2.711191E-03
+1.688329E-03
+1.855396E-03
+1.403977E-03
+1.398430E-03
+1.818402E-03
+1.761252E-03
+1.646650E-03
+1.480120E-03
+1.399560E-03
+1.400162E-03
+1.178362E-03
+1.292279E-03
 cmfd dominance ratio
  0.000E+00
  0.000E+00
  0.000E+00
  0.000E+00
- 5.467E-01
- 5.505E-01
- 5.514E-01
+ 5.397E-01
+ 5.405E-01
+ 5.412E-01
+ 5.428E-01
+ 5.460E-01
+ 4.531E-01
+ 5.528E-01
  5.531E-01
- 5.529E-01
- 5.501E-01
- 5.484E-01
- 5.500E-01
- 5.506E-01
- 5.508E-01
- 5.504E-01
- 5.500E-01
- 5.480E-01
- 5.482E-01
- 5.475E-01
  5.493E-01
+ 5.468E-01
+ 5.482E-01
+ 5.487E-01
+ 5.471E-01
+ 5.465E-01
+ 5.461E-01
+ 5.443E-01
 cmfd openmc source comparison
 0.000000E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
-9.168094E-03
-5.976241E-03
-4.426550E-03
-4.107499E-03
-4.957716E-03
-4.026213E-03
-3.986000E-03
-2.702714E-03
-3.619345E-03
-4.909616E-03
-3.355042E-03
-2.945724E-03
-3.010811E-03
-2.965662E-03
-2.673073E-03
-1.669634E-03
+6.959835E-03
+5.494668E-03
+4.076255E-03
+4.451120E-03
+3.035589E-03
+3.391773E-03
+1.907995E-03
+2.482495E-03
+2.994917E-03
+3.104683E-03
+2.309343E-03
+2.151358E-03
+2.348850E-03
+1.976731E-03
+2.080638E-03
+2.301327E-03
 cmfd source
-4.539734E-02
-8.104913E-02
-1.045143E-01
-1.221516E-01
-1.398002E-01
-1.400323E-01
-1.304628E-01
-1.120006E-01
-8.038230E-02
-4.420934E-02
+4.638920E-02
+7.751172E-02
+1.056089E-01
+1.282509E-01
+1.396713E-01
+1.415740E-01
+1.323405E-01
+1.092839E-01
+7.981779E-02
+3.955174E-02
diff --git a/tests/test_complex_cell/results_true.dat b/tests/test_complex_cell/results_true.dat
index 97f228e3ee..da3acd2aa3 100644
--- a/tests/test_complex_cell/results_true.dat
+++ b/tests/test_complex_cell/results_true.dat
@@ -1,11 +1,11 @@
 k-combined:
-2.565769E-01 8.980879E-04
+2.531110E-01 3.041974E-03
 tally 1:
-2.584080E+00
-1.335682E+00
-2.763580E+00
-1.528633E+00
-1.007148E+00
-2.031543E-01
-1.113696E-01
-2.485351E-03
+2.594626E+00
+1.346701E+00
+2.683653E+00
+1.440725E+00
+9.933862E-01
+1.977011E-01
+1.112289E-01
+2.476655E-03
diff --git a/tests/test_confidence_intervals/results_true.dat b/tests/test_confidence_intervals/results_true.dat
index fb13bdad29..e519180c83 100644
--- a/tests/test_confidence_intervals/results_true.dat
+++ b/tests/test_confidence_intervals/results_true.dat
@@ -1,5 +1,5 @@
 k-combined:
-2.913599E-01 6.738749E-03
+2.955487E-01 7.001017E-03
 tally 1:
-6.420923E+01
-5.190738E+02
+6.492201E+01
+5.290724E+02
diff --git a/tests/test_density/geometry.xml b/tests/test_density/geometry.xml
new file mode 100644
index 0000000000..c305754da9
--- /dev/null
+++ b/tests/test_density/geometry.xml
@@ -0,0 +1,14 @@
+<?xml version="1.0"?>
+<geometry>
+
+  <surface id="1" type="sphere" coeffs="0 0 0 3"/>
+  <surface id="2" type="sphere" coeffs="0 0 0 6"/>
+  <surface id="3" type="sphere" coeffs="0 0 0 9"/>
+  <surface id="4" type="sphere" coeffs="0 0 0 10" boundary="vacuum"/>
+
+  <cell id="1" material="1" region="-1" />
+  <cell id="2" material="2" region="1 -2" />
+  <cell id="3" material="3" region="2 -3" />
+  <cell id="4" material="4" region="3 -4" />
+
+</geometry>
diff --git a/tests/test_density/materials.xml b/tests/test_density/materials.xml
new file mode 100644
index 0000000000..36947d066d
--- /dev/null
+++ b/tests/test_density/materials.xml
@@ -0,0 +1,26 @@
+<?xml version="1.0"?>
+<materials>
+
+  <material id="1">
+    <density value="0.1" units="atom/b-cm" />
+    <nuclide name="U-235" xs="71c" ao="1.0" />
+  </material>
+
+  <material id="2">
+    <density value="4.5e22" units="atom/cm3" />
+    <nuclide name="U-235" xs="71c" ao="1.0" />
+  </material>
+
+  <material id="3">
+    <density value="12.3e3" units="kg/m3" />
+    <nuclide name="U-235" xs="71c" ao="1.0" />
+  </material>
+
+  <material id="4">
+    <density units="sum" />
+    <nuclide name="U-235" xs="71c" ao="0.3e-2" />
+    <nuclide name="U-238" xs="71c" ao="0.5e-1" />
+    <nuclide name="H-1" xs="71c" ao="0.1e-2" />
+  </material>
+
+</materials>
diff --git a/tests/test_density/results_true.dat b/tests/test_density/results_true.dat
new file mode 100644
index 0000000000..65135bbc95
--- /dev/null
+++ b/tests/test_density/results_true.dat
@@ -0,0 +1,2 @@
+k-combined:
+1.102244E+00 1.114944E-02
diff --git a/tests/test_basic/settings.xml b/tests/test_density/settings.xml
similarity index 100%
rename from tests/test_basic/settings.xml
rename to tests/test_density/settings.xml
diff --git a/tests/test_basic/test_basic.py b/tests/test_density/test_density.py
old mode 100755
new mode 100644
similarity index 100%
rename from tests/test_basic/test_basic.py
rename to tests/test_density/test_density.py
diff --git a/tests/test_density_atombcm/geometry.xml b/tests/test_density_atombcm/geometry.xml
deleted file mode 100644
index bc56030e18..0000000000
--- a/tests/test_density_atombcm/geometry.xml
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0"?>
-<geometry>
-
-  <!-- Sphere with radius 10 -->
-  <surface id="1" type="sphere" coeffs="0 0 0 10" boundary="vacuum"/>
-  <cell id="1" material="1" region="-1" />
-    
-</geometry>
diff --git a/tests/test_density_atombcm/materials.xml b/tests/test_density_atombcm/materials.xml
deleted file mode 100644
index 10d0519685..0000000000
--- a/tests/test_density_atombcm/materials.xml
+++ /dev/null
@@ -1,9 +0,0 @@
-<?xml version="1.0"?>
-<materials>
-
-  <material id="1">
-    <density value="0.1" units="atom/b-cm" />
-    <nuclide name="U-235" xs="71c" ao="1.0" />
-  </material>
-
-</materials>
diff --git a/tests/test_density_atombcm/results_true.dat b/tests/test_density_atombcm/results_true.dat
deleted file mode 100644
index 2956b53888..0000000000
--- a/tests/test_density_atombcm/results_true.dat
+++ /dev/null
@@ -1,2 +0,0 @@
-k-combined:
-1.752274E+00 4.032481E-02
diff --git a/tests/test_density_atombcm/settings.xml b/tests/test_density_atombcm/settings.xml
deleted file mode 100644
index a6fd5da19e..0000000000
--- a/tests/test_density_atombcm/settings.xml
+++ /dev/null
@@ -1,16 +0,0 @@
-<?xml version="1.0"?>
-<settings>
-
-  <eigenvalue>
-    <batches>10</batches>
-    <inactive>5</inactive>
-    <particles>1000</particles>
-  </eigenvalue>
-
-  <source>
-    <space type="box">
-      <parameters>-4 -4 -4  4  4  4</parameters>
-    </space>
-  </source>
-
-</settings>
diff --git a/tests/test_density_atombcm/test_density_atombcm.py b/tests/test_density_atombcm/test_density_atombcm.py
deleted file mode 100644
index 2a595f3e66..0000000000
--- a/tests/test_density_atombcm/test_density_atombcm.py
+++ /dev/null
@@ -1,11 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness
-
-
-if __name__ == '__main__':
-    harness = TestHarness('statepoint.10.*')
-    harness.main()
diff --git a/tests/test_density_atomcm3/geometry.xml b/tests/test_density_atomcm3/geometry.xml
deleted file mode 100644
index bc56030e18..0000000000
--- a/tests/test_density_atomcm3/geometry.xml
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0"?>
-<geometry>
-
-  <!-- Sphere with radius 10 -->
-  <surface id="1" type="sphere" coeffs="0 0 0 10" boundary="vacuum"/>
-  <cell id="1" material="1" region="-1" />
-    
-</geometry>
diff --git a/tests/test_density_atomcm3/materials.xml b/tests/test_density_atomcm3/materials.xml
deleted file mode 100644
index 57d177afc7..0000000000
--- a/tests/test_density_atomcm3/materials.xml
+++ /dev/null
@@ -1,9 +0,0 @@
-<?xml version="1.0"?>
-<materials>
-
-  <material id="1">
-    <density value="4.5e22" units="atom/cm3" />
-    <nuclide name="U-235" xs="71c" ao="1.0" />
-  </material>
-
-</materials>
diff --git a/tests/test_density_atomcm3/results_true.dat b/tests/test_density_atomcm3/results_true.dat
deleted file mode 100644
index 0bd16fc4de..0000000000
--- a/tests/test_density_atomcm3/results_true.dat
+++ /dev/null
@@ -1,2 +0,0 @@
-k-combined:
-1.092376E+00 1.759788E-02
diff --git a/tests/test_density_atomcm3/settings.xml b/tests/test_density_atomcm3/settings.xml
deleted file mode 100644
index a6fd5da19e..0000000000
--- a/tests/test_density_atomcm3/settings.xml
+++ /dev/null
@@ -1,16 +0,0 @@
-<?xml version="1.0"?>
-<settings>
-
-  <eigenvalue>
-    <batches>10</batches>
-    <inactive>5</inactive>
-    <particles>1000</particles>
-  </eigenvalue>
-
-  <source>
-    <space type="box">
-      <parameters>-4 -4 -4  4  4  4</parameters>
-    </space>
-  </source>
-
-</settings>
diff --git a/tests/test_density_atomcm3/test_density_atomcm3.py b/tests/test_density_atomcm3/test_density_atomcm3.py
deleted file mode 100644
index 2a595f3e66..0000000000
--- a/tests/test_density_atomcm3/test_density_atomcm3.py
+++ /dev/null
@@ -1,11 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness
-
-
-if __name__ == '__main__':
-    harness = TestHarness('statepoint.10.*')
-    harness.main()
diff --git a/tests/test_density_kgm3/geometry.xml b/tests/test_density_kgm3/geometry.xml
deleted file mode 100644
index bc56030e18..0000000000
--- a/tests/test_density_kgm3/geometry.xml
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0"?>
-<geometry>
-
-  <!-- Sphere with radius 10 -->
-  <surface id="1" type="sphere" coeffs="0 0 0 10" boundary="vacuum"/>
-  <cell id="1" material="1" region="-1" />
-    
-</geometry>
diff --git a/tests/test_density_kgm3/materials.xml b/tests/test_density_kgm3/materials.xml
deleted file mode 100644
index 2f74574e75..0000000000
--- a/tests/test_density_kgm3/materials.xml
+++ /dev/null
@@ -1,9 +0,0 @@
-<?xml version="1.0"?>
-<materials>
-
-  <material id="1">
-    <density value="12.3e3" units="kg/m3" />
-    <nuclide name="U-235" xs="71c" ao="1.0" />
-  </material>
-
-</materials>
diff --git a/tests/test_density_kgm3/results_true.dat b/tests/test_density_kgm3/results_true.dat
deleted file mode 100644
index 6b008101fb..0000000000
--- a/tests/test_density_kgm3/results_true.dat
+++ /dev/null
@@ -1,2 +0,0 @@
-k-combined:
-7.994522E-01 1.065745E-02
diff --git a/tests/test_density_kgm3/test_density_kgm3.py b/tests/test_density_kgm3/test_density_kgm3.py
deleted file mode 100644
index 2a595f3e66..0000000000
--- a/tests/test_density_kgm3/test_density_kgm3.py
+++ /dev/null
@@ -1,11 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness
-
-
-if __name__ == '__main__':
-    harness = TestHarness('statepoint.10.*')
-    harness.main()
diff --git a/tests/test_density_sum/geometry.xml b/tests/test_density_sum/geometry.xml
deleted file mode 100644
index bc56030e18..0000000000
--- a/tests/test_density_sum/geometry.xml
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0"?>
-<geometry>
-
-  <!-- Sphere with radius 10 -->
-  <surface id="1" type="sphere" coeffs="0 0 0 10" boundary="vacuum"/>
-  <cell id="1" material="1" region="-1" />
-    
-</geometry>
diff --git a/tests/test_density_sum/materials.xml b/tests/test_density_sum/materials.xml
deleted file mode 100644
index 713661196f..0000000000
--- a/tests/test_density_sum/materials.xml
+++ /dev/null
@@ -1,11 +0,0 @@
-<?xml version="1.0"?>
-<materials>
-
-  <material id="1">
-    <density units="sum" />
-    <nuclide name="U-235" xs="71c" ao="0.3e-2" />
-    <nuclide name="U-238" xs="71c" ao="0.5e-1" />
-    <nuclide name="H-1" xs="71c" ao="0.1e-2" />
-  </material>
-
-</materials>
diff --git a/tests/test_density_sum/results_true.dat b/tests/test_density_sum/results_true.dat
deleted file mode 100644
index 9b16f2d988..0000000000
--- a/tests/test_density_sum/results_true.dat
+++ /dev/null
@@ -1,2 +0,0 @@
-k-combined:
-3.231215E-01 6.421320E-03
diff --git a/tests/test_density_sum/settings.xml b/tests/test_density_sum/settings.xml
deleted file mode 100644
index a6fd5da19e..0000000000
--- a/tests/test_density_sum/settings.xml
+++ /dev/null
@@ -1,16 +0,0 @@
-<?xml version="1.0"?>
-<settings>
-
-  <eigenvalue>
-    <batches>10</batches>
-    <inactive>5</inactive>
-    <particles>1000</particles>
-  </eigenvalue>
-
-  <source>
-    <space type="box">
-      <parameters>-4 -4 -4  4  4  4</parameters>
-    </space>
-  </source>
-
-</settings>
diff --git a/tests/test_density_sum/test_density_sum.py b/tests/test_density_sum/test_density_sum.py
deleted file mode 100644
index 2a595f3e66..0000000000
--- a/tests/test_density_sum/test_density_sum.py
+++ /dev/null
@@ -1,11 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness
-
-
-if __name__ == '__main__':
-    harness = TestHarness('statepoint.10.*')
-    harness.main()
diff --git a/tests/test_distribmat/inputs_true.dat b/tests/test_distribmat/inputs_true.dat
new file mode 100644
index 0000000000..9c8a86bfa7
--- /dev/null
+++ b/tests/test_distribmat/inputs_true.dat
@@ -0,0 +1 @@
+96c54eb4f1da175445bf2187449ee32c9ff435d8c60e9421a4a16497aae9f233e3e494f531892dd55f6ac1a06e0240799503ff19e14e2436a0b0f0d83ba56cb8
\ No newline at end of file
diff --git a/tests/test_distribmat/results_true.dat b/tests/test_distribmat/results_true.dat
new file mode 100644
index 0000000000..bf96784d71
--- /dev/null
+++ b/tests/test_distribmat/results_true.dat
@@ -0,0 +1,11 @@
+k-combined:
+1.291341E+00 1.269369E-02
+Cell
+	ID             =	11
+	Name           =	
+	Fill           =	[2, 3, None, 2]
+	Region         =	-10000
+	Rotation       =	None
+	Translation    =	None
+	Offset         =	None
+	Distribcell index=	1
diff --git a/tests/test_distribmat/test_distribmat.py b/tests/test_distribmat/test_distribmat.py
new file mode 100644
index 0000000000..96d41c3fbe
--- /dev/null
+++ b/tests/test_distribmat/test_distribmat.py
@@ -0,0 +1,132 @@
+#!/usr/bin/env python
+
+import os
+import sys
+sys.path.insert(0, os.pardir)
+from testing_harness import TestHarness, PyAPITestHarness
+import openmc
+from openmc.stats import Box
+from openmc.source import Source
+
+
+class DistribmatTestHarness(PyAPITestHarness):
+    def _build_inputs(self):
+        ####################
+        # Materials
+        ####################
+
+        moderator = openmc.Material(material_id=1)
+        moderator.set_density('g/cc', 1.0)
+        moderator.add_nuclide('H-1', 2.0)
+        moderator.add_nuclide('O-16', 1.0)
+
+        dense_fuel = openmc.Material(material_id=2)
+        dense_fuel.set_density('g/cc', 4.5)
+        dense_fuel.add_nuclide('U-235', 1.0)
+
+        light_fuel = openmc.Material(material_id=3)
+        light_fuel.set_density('g/cc', 2.0)
+        light_fuel.add_nuclide('U-235', 1.0)
+
+        mats_file = openmc.Materials([moderator, dense_fuel, light_fuel])
+        mats_file.default_xs = '71c'
+        mats_file.export_to_xml()
+
+
+        ####################
+        # Geometry
+        ####################
+
+        c1 = openmc.Cell(cell_id=1)
+        c1.fill = moderator
+        mod_univ = openmc.Universe(universe_id=1)
+        mod_univ.add_cell(c1)
+
+        r0 = openmc.ZCylinder(R=0.3)
+        c11 = openmc.Cell(cell_id=11)
+        c11.region = -r0
+        c11.fill = [dense_fuel, light_fuel, None, dense_fuel]
+        c12 = openmc.Cell(cell_id=12)
+        c12.region = +r0
+        c12.fill = moderator
+        fuel_univ = openmc.Universe(universe_id=11)
+        fuel_univ.add_cells((c11, c12))
+
+        lat = openmc.RectLattice(lattice_id=101)
+        lat.lower_left = [-2.0, -2.0]
+        lat.pitch = [2.0, 2.0]
+        lat.universes = [[fuel_univ]*2]*2
+        lat.outer = mod_univ
+
+        x0 = openmc.XPlane(x0=-3.0)
+        x1 = openmc.XPlane(x0=3.0)
+        y0 = openmc.YPlane(y0=-3.0)
+        y1 = openmc.YPlane(y0=3.0)
+        for s in [x0, x1, y0, y1]:
+            s.boundary_type = 'reflective'
+        c101 = openmc.Cell(cell_id=101)
+        c101.region = +x0 & -x1 & +y0 & -y1
+        c101.fill = lat
+        root_univ = openmc.Universe(universe_id=0)
+        root_univ.add_cell(c101)
+
+        geometry = openmc.Geometry()
+        geometry.root_universe = root_univ
+        geometry.export_to_xml()
+
+
+        ####################
+        # Settings
+        ####################
+
+        sets_file = openmc.Settings()
+        sets_file.batches = 5
+        sets_file.inactive = 0
+        sets_file.particles = 1000
+        sets_file.source = Source(space=Box([-1, -1, -1], [1, 1, 1]))
+        sets_file.output = {'summary': True}
+        sets_file.export_to_xml()
+
+
+        ####################
+        # Plots
+        ####################
+
+        plots_file = openmc.Plots()
+
+        plot = openmc.Plot(plot_id=1)
+        plot.basis = 'xy'
+        plot.color = 'cell'
+        plot.filename = 'cellplot'
+        plot.origin = (0, 0, 0)
+        plot.width = (7, 7)
+        plot.pixels = (400, 400)
+        plots_file.add_plot(plot)
+
+        plot = openmc.Plot(plot_id=2)
+        plot.basis = 'xy'
+        plot.color = 'mat'
+        plot.filename = 'matplot'
+        plot.origin = (0, 0, 0)
+        plot.width = (7, 7)
+        plot.pixels = (400, 400)
+        plots_file.add_plot(plot)
+
+        plots_file.export_to_xml()
+
+    def _get_results(self):
+        outstr = super(DistribmatTestHarness, self)._get_results()
+        su = openmc.Summary('summary.h5')
+        outstr += str(su.get_cell_by_id(11))
+        return outstr
+
+    def _cleanup(self):
+        f = os.path.join(os.getcwd(), 'plots.xml')
+        if os.path.exists(f):
+            os.remove(f)
+        super(DistribmatTestHarness, self)._cleanup()
+
+
+if __name__ == '__main__':
+    harness = DistribmatTestHarness('statepoint.5.*')
+    harness.main()
diff --git a/tests/test_eigenvalue_genperbatch/results_true.dat b/tests/test_eigenvalue_genperbatch/results_true.dat
index 9e87c901d9..846a17e082 100644
--- a/tests/test_eigenvalue_genperbatch/results_true.dat
+++ b/tests/test_eigenvalue_genperbatch/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-3.015627E-01 5.978844E-03
+3.001412E-01 2.669737E-03
diff --git a/tests/test_eigenvalue_no_inactive/results_true.dat b/tests/test_eigenvalue_no_inactive/results_true.dat
index fbbe84cc37..2b4373e7e5 100644
--- a/tests/test_eigenvalue_no_inactive/results_true.dat
+++ b/tests/test_eigenvalue_no_inactive/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-3.130246E-01 6.960311E-03
+3.080574E-01 6.889659E-03
diff --git a/tests/test_energy_grid/results_true.dat b/tests/test_energy_grid/results_true.dat
index 9556a981bc..0a607592c8 100644
--- a/tests/test_energy_grid/results_true.dat
+++ b/tests/test_energy_grid/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-3.155788E-01 7.559348E-03
+3.330789E-01 2.216495E-03
diff --git a/tests/test_energy_laws/geometry.xml b/tests/test_energy_laws/geometry.xml
new file mode 100644
index 0000000000..c42f45597d
--- /dev/null
+++ b/tests/test_energy_laws/geometry.xml
@@ -0,0 +1,5 @@
+<?xml version="1.0"?>
+<geometry>
+  <surface id="1" type="sphere" coeffs="0 0 0 100" boundary="vacuum"/>
+  <cell id="1" material="1" region="-1" />
+</geometry>
diff --git a/tests/test_energy_laws/materials.xml b/tests/test_energy_laws/materials.xml
new file mode 100644
index 0000000000..97f9b84be1
--- /dev/null
+++ b/tests/test_energy_laws/materials.xml
@@ -0,0 +1,11 @@
+<?xml version="1.0"?>
+<materials>
+  <default_xs>71c</default_xs>
+  <material id="1">
+    <density value="20" units="g/cc" />
+    <nuclide name="U-233" ao="1.0" />
+    <nuclide name="H-2" ao="1.0" />
+    <nuclide name="Na-23" ao="1.0" />
+    <nuclide name="Ta-181" ao="1.0" />
+  </material>
+</materials>
diff --git a/tests/test_energy_laws/results_true.dat b/tests/test_energy_laws/results_true.dat
new file mode 100644
index 0000000000..02465fa798
--- /dev/null
+++ b/tests/test_energy_laws/results_true.dat
@@ -0,0 +1,2 @@
+k-combined:
+2.122164E+00 1.946222E-02
diff --git a/tests/test_source_point/settings.xml b/tests/test_energy_laws/settings.xml
similarity index 76%
rename from tests/test_source_point/settings.xml
rename to tests/test_energy_laws/settings.xml
index 3b3c47150e..1c3f444f0f 100644
--- a/tests/test_source_point/settings.xml
+++ b/tests/test_energy_laws/settings.xml
@@ -1,14 +1,11 @@
 <?xml version="1.0"?>
 <settings>
-
   <eigenvalue>
     <batches>10</batches>
     <inactive>5</inactive>
     <particles>1000</particles>
   </eigenvalue>
-
   <source>
-    <space type="point" parameters="1.2 -2.3 0.781" />
+    <space type="point" parameters="0. 0. 0." />
   </source>
-
 </settings>
diff --git a/tests/test_energy_laws/test_energy_laws.py b/tests/test_energy_laws/test_energy_laws.py
new file mode 100644
index 0000000000..0e593876fc
--- /dev/null
+++ b/tests/test_energy_laws/test_energy_laws.py
@@ -0,0 +1,30 @@
+#!/usr/bin/env python
+
+"""The purpose of this test is to provide coverage of energy distributions that
+are not covered in other tests. It has a single material with the following
+nuclides:
+
+U-233: Only nuclide that has a Watt fission spectrum
+
+H-2: Only nuclide that has an N-body phase space distribution, in this case for
+(n,2n)
+
+Na-23: Has an evaporation spectrum and also has reactions that have multiple
+angle-energy distributions, so it provides coverage for both of those
+situations.
+
+Ta-181: One of a few nuclides that has reactions with Kalbach-Mann distributions
+that use linear-linear interpolation.
+
+"""
+
+import glob
+import os
+import sys
+sys.path.insert(0, os.pardir)
+from testing_harness import TestHarness
+
+
+if __name__ == '__main__':
+    harness = TestHarness('statepoint.10.*')
+    harness.main()
diff --git a/tests/test_entropy/results_true.dat b/tests/test_entropy/results_true.dat
index 8b37789c32..e3e0daea0b 100644
--- a/tests/test_entropy/results_true.dat
+++ b/tests/test_entropy/results_true.dat
@@ -1,13 +1,13 @@
 k-combined:
-3.021779E-01 3.813358E-03
+2.943619E-01 3.309635E-03
 entropy:
-7.608094E+00
-8.167702E+00
-8.273634E+00
-8.239452E+00
-8.234598E+00
-8.278421E+00
-8.260773E+00
-8.351860E+00
-8.303719E+00
-8.271058E+00
+7.601626E+00
+8.085658E+00
+8.263983E+00
+8.284792E+00
+8.420379E+00
+8.302840E+00
+8.316079E+00
+8.299781E+00
+8.329297E+00
+8.361325E+00
diff --git a/tests/test_filter_azimuthal/inputs_true.dat b/tests/test_filter_azimuthal/inputs_true.dat
deleted file mode 100644
index 42b6e820be..0000000000
--- a/tests/test_filter_azimuthal/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-1d5f81d12f607f4a8436dfb65167e2a2be55dbf86fbc2cc465cec274671be5eaff517d781a4d40e264bb695e3c66c7ff61a650217c99de2ca8c15ca747fe6b80
\ No newline at end of file
diff --git a/tests/test_filter_azimuthal/results_true.dat b/tests/test_filter_azimuthal/results_true.dat
deleted file mode 100644
index 7883a730d4..0000000000
--- a/tests/test_filter_azimuthal/results_true.dat
+++ /dev/null
@@ -1,76 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-4.215917E+01
-3.561920E+02
-4.174788E+01
-3.505184E+02
-4.603223E+01
-4.242918E+02
-4.496760E+01
-4.075599E+02
-4.088099E+01
-3.376516E+02
-tally 2:
-4.157239E+01
-3.482158E+02
-4.227810E+01
-3.613293E+02
-4.376107E+01
-3.835007E+02
-4.644205E+01
-4.327195E+02
-4.191554E+01
-3.522147E+02
-tally 3:
-4.215917E+01
-3.561920E+02
-4.174788E+01
-3.505184E+02
-4.603223E+01
-4.242918E+02
-4.496402E+01
-4.075053E+02
-4.088458E+01
-3.377000E+02
-tally 4:
-1.531988E+01
-4.816326E+01
-9.274393E+00
-1.821174E+01
-1.595868E+01
-5.124238E+01
-1.299895E+00
-6.417145E-01
-1.510024E+01
-4.604170E+01
-8.533361E+00
-1.462765E+01
-1.658141E+01
-5.595629E+01
-1.427417E+00
-6.621807E-01
-1.683102E+01
-5.741400E+01
-9.845257E+00
-2.028406E+01
-1.773179E+01
-6.477077E+01
-1.536972E+00
-6.111079E-01
-1.586070E+01
-5.360975E+01
-9.928220E+00
-2.089005E+01
-1.737609E+01
-6.161847E+01
-1.700608E+00
-8.439708E-01
-1.607027E+01
-5.490113E+01
-7.569336E+00
-1.280955E+01
-1.606086E+01
-5.308665E+01
-9.898901E-01
-3.143027E-01
diff --git a/tests/test_filter_azimuthal/test_filter_azimuthal.py b/tests/test_filter_azimuthal/test_filter_azimuthal.py
deleted file mode 100644
index 248ba00120..0000000000
--- a/tests/test_filter_azimuthal/test_filter_azimuthal.py
+++ /dev/null
@@ -1,59 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-class FilterAzimuthalTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt1 = openmc.Filter(type='azimuthal',
-                              bins=(-3.1416, -1.8850, -0.6283, 0.6283, 1.8850,
-                                    3.1416))
-        tally1 = openmc.Tally(tally_id=1)
-        tally1.add_filter(filt1)
-        tally1.add_score('flux')
-        tally1.estimator = 'tracklength'
-
-        tally2 = openmc.Tally(tally_id=2)
-        tally2.add_filter(filt1)
-        tally2.add_score('flux')
-        tally2.estimator = 'analog'
-
-        filt3 = openmc.Filter(type='azimuthal', bins=(5,))
-        tally3 = openmc.Tally(tally_id=3)
-        tally3.add_filter(filt3)
-        tally3.add_score('flux')
-        tally3.estimator = 'tracklength'
-
-        mesh = openmc.Mesh(mesh_id=1)
-        mesh.lower_left  = [-182.07, -182.07]
-        mesh.upper_right = [182.07,  182.07]
-        mesh.dimension = [2, 2]
-        filt_mesh = openmc.Filter(type='mesh', bins=(1,))
-        tally4 = openmc.Tally(tally_id=4)
-        tally4.add_filter(filt3)
-        tally4.add_filter(filt_mesh)
-        tally4.add_score('flux')
-        tally4.estimator = 'tracklength'
-
-
-        self._input_set.tallies = openmc.TalliesFile()
-        self._input_set.tallies.add_tally(tally1)
-        self._input_set.tallies.add_tally(tally2)
-        self._input_set.tallies.add_tally(tally3)
-        self._input_set.tallies.add_tally(tally4)
-        self._input_set.tallies.add_mesh(mesh)
-
-        super(FilterAzimuthalTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(FilterAzimuthalTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = FilterAzimuthalTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_filter_cell/inputs_true.dat b/tests/test_filter_cell/inputs_true.dat
deleted file mode 100644
index 2320ff6ab4..0000000000
--- a/tests/test_filter_cell/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-caae173f01f7073d634a68a5c4ce97177423e13596a863976e1c40303dc8c05afed457d5a1aa0ae73627ec953143e4f9c1f45bdbd3b0cca76433062467d59777
\ No newline at end of file
diff --git a/tests/test_filter_cell/results_true.dat b/tests/test_filter_cell/results_true.dat
deleted file mode 100644
index 47ff3c281a..0000000000
--- a/tests/test_filter_cell/results_true.dat
+++ /dev/null
@@ -1,11 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-0.000000E+00
-0.000000E+00
-1.767552E+01
-6.295417E+01
-3.863588E+00
-3.013300E+00
-5.356594E+01
-5.839391E+02
diff --git a/tests/test_filter_cell/test_filter_cell.py b/tests/test_filter_cell/test_filter_cell.py
deleted file mode 100644
index d532d59cf8..0000000000
--- a/tests/test_filter_cell/test_filter_cell.py
+++ /dev/null
@@ -1,29 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class FilterCellTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(10, 21, 22, 23))
-        tally = openmc.Tally(tally_id=1)
-        tally.add_filter(filt)
-        tally.add_score('total')
-        self._input_set.tallies = openmc.TalliesFile()
-        self._input_set.tallies.add_tally(tally)
-
-        super(FilterCellTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(FilterCellTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = FilterCellTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_filter_cellborn/inputs_true.dat b/tests/test_filter_cellborn/inputs_true.dat
deleted file mode 100644
index 5aef4cbb06..0000000000
--- a/tests/test_filter_cellborn/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-2f24eb86cda981982a8db5bb110c72e9cef542c06e15b748c1c7e459f96b0d8ba0978b51dffc006e813cd2e2ae1fa0357336f8322ae263189841afde01f0327b
\ No newline at end of file
diff --git a/tests/test_filter_cellborn/results_true.dat b/tests/test_filter_cellborn/results_true.dat
deleted file mode 100644
index d0ab58f4ed..0000000000
--- a/tests/test_filter_cellborn/results_true.dat
+++ /dev/null
@@ -1,11 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-0.000000E+00
-0.000000E+00
-8.921179E+01
-1.601939E+03
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
diff --git a/tests/test_filter_cellborn/test_filter_cellborn.py b/tests/test_filter_cellborn/test_filter_cellborn.py
deleted file mode 100644
index 2fac6a1fcd..0000000000
--- a/tests/test_filter_cellborn/test_filter_cellborn.py
+++ /dev/null
@@ -1,29 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class FilterCellbornTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cellborn', bins=(10, 21, 22, 23))
-        tally = openmc.Tally(tally_id=1)
-        tally.add_filter(filt)
-        tally.add_score('total')
-        self._input_set.tallies = openmc.TalliesFile()
-        self._input_set.tallies.add_tally(tally)
-
-        super(FilterCellbornTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(FilterCellbornTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = FilterCellbornTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_filter_delayedgroup/inputs_true.dat b/tests/test_filter_delayedgroup/inputs_true.dat
deleted file mode 100644
index 21bce00fd2..0000000000
--- a/tests/test_filter_delayedgroup/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-e771470681d3b4af57a70d148f5eb728df57f1fd7bdb5d6f76ac556b69f10bf0cdd5645fe488f1e17f07cbb72e9fb34af2fd7ede95c8e39c5ffa6ea9b6c5810e
\ No newline at end of file
diff --git a/tests/test_filter_delayedgroup/results_true.dat b/tests/test_filter_delayedgroup/results_true.dat
deleted file mode 100644
index 9db6de2562..0000000000
--- a/tests/test_filter_delayedgroup/results_true.dat
+++ /dev/null
@@ -1,15 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-8.141852E-04
-1.337187E-07
-4.849156E-03
-4.744020E-06
-4.460252E-03
-4.015453E-06
-1.028479E-02
-2.136252E-05
-5.002274E-03
-5.056965E-06
-1.974747E-03
-7.882970E-07
diff --git a/tests/test_filter_delayedgroup/test_filter_delayedgroup.py b/tests/test_filter_delayedgroup/test_filter_delayedgroup.py
deleted file mode 100644
index bdad3cc958..0000000000
--- a/tests/test_filter_delayedgroup/test_filter_delayedgroup.py
+++ /dev/null
@@ -1,30 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class FilterDelayedgroupTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='delayedgroup',
-                             bins=(1, 2, 3, 4, 5, 6))
-        tally = openmc.Tally(tally_id=1)
-        tally.add_filter(filt)
-        tally.add_score('delayed-nu-fission')
-        self._input_set.tallies = openmc.TalliesFile()
-        self._input_set.tallies.add_tally(tally)
-
-        super(FilterDelayedgroupTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(FilterDelayedgroupTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = FilterDelayedgroupTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_filter_distribcell/case-1/results_true.dat b/tests/test_filter_distribcell/case-1/results_true.dat
index 49bf3ed4ee..a1f062e1ba 100644
--- a/tests/test_filter_distribcell/case-1/results_true.dat
+++ b/tests/test_filter_distribcell/case-1/results_true.dat
@@ -1,14 +1,14 @@
 k-combined:
 0.000000E+00 0.000000E+00
 tally 1:
-1.440759E-02
-2.075788E-04
-1.222930E-02
-1.495558E-04
-1.407292E-02
-1.980471E-04
-1.034365E-02
-1.069911E-04
+1.548980E-02
+2.399339E-04
+1.278780E-02
+1.635279E-04
+1.426319E-02
+2.034385E-04
+1.018927E-02
+1.038213E-04
 tally 2:
-5.105347E-02
-2.606457E-03
+5.273007E-02
+2.780460E-03
diff --git a/tests/test_filter_distribcell/case-2/results_true.dat b/tests/test_filter_distribcell/case-2/results_true.dat
index bb2f498cbf..4e2583f3ef 100644
--- a/tests/test_filter_distribcell/case-2/results_true.dat
+++ b/tests/test_filter_distribcell/case-2/results_true.dat
@@ -1,11 +1,11 @@
 k-combined:
 0.000000E+00 0.000000E+00
 tally 1:
-7.326285E-03
-5.367445E-05
-8.565980E-03
-7.337601E-05
-9.027116E-03
-8.148882E-05
-8.045879E-03
-6.473617E-05
+7.588170E-03
+5.758032E-05
+8.402486E-03
+7.060177E-05
+8.682518E-03
+7.538613E-05
+8.119997E-03
+6.593435E-05
diff --git a/tests/test_filter_distribcell/case-3/results_true.dat b/tests/test_filter_distribcell/case-3/results_true.dat
index f5f85d29f5..32c1fced16 100644
--- a/tests/test_filter_distribcell/case-3/results_true.dat
+++ b/tests/test_filter_distribcell/case-3/results_true.dat
@@ -1 +1 @@
-6008cf2ba8eecaaa5a600fa337cf54cef018e98bdba8e3bd26c6f44587376a838d5bc5e86301b2e308f9eb248e3efafd45a5336f4023d962d7921d158a621e0c
\ No newline at end of file
+7bef4810e3bba5df56fef96d9a946dc8dc8ac136ba5282d2975456f3de8fc47ea4ba557d6c83d0938579e11e2a0da5e8e4d03b3cd1f0c0d969d25c218b2ec0bc
\ No newline at end of file
diff --git a/tests/test_filter_distribcell/case-4/results_true.dat b/tests/test_filter_distribcell/case-4/results_true.dat
index b8bd2b3390..88e78d7575 100644
--- a/tests/test_filter_distribcell/case-4/results_true.dat
+++ b/tests/test_filter_distribcell/case-4/results_true.dat
@@ -1,17 +1,17 @@
 k-combined:
 0.000000E+00 0.000000E+00
 tally 1:
-2.166056E-02
-4.691799E-04
-2.281665E-02
-5.205994E-04
-1.938848E-02
-3.759132E-04
-3.055366E-02
-9.335264E-04
-2.338209E-02
-5.467222E-04
-2.719869E-02
-7.397689E-04
-1.895698E-02
-3.593670E-04
+2.265319E-02
+5.131669E-04
+2.026852E-02
+4.108129E-04
+2.051718E-02
+4.209546E-04
+3.015130E-02
+9.091009E-04
+2.356397E-02
+5.552606E-04
+2.558974E-02
+6.548348E-04
+2.012046E-02
+4.048330E-04
diff --git a/tests/test_filter_distribcell/test_filter_distribcell.py b/tests/test_filter_distribcell/test_filter_distribcell.py
index 872d29552b..3a145832cc 100644
--- a/tests/test_filter_distribcell/test_filter_distribcell.py
+++ b/tests/test_filter_distribcell/test_filter_distribcell.py
@@ -10,10 +10,7 @@ from testing_harness import *
 
 class DistribcellTestHarness(TestHarness):
     def __init__(self):
-        self._sp_name = None
-        self._tallies = True
-        self._opts = None
-        self._args = None
+        super(DistribcellTestHarness, self).__init__(None, True)
 
     def execute_test(self):
         """Run OpenMC with the appropriate arguments and check the outputs."""
diff --git a/tests/test_filter_energy/inputs_true.dat b/tests/test_filter_energy/inputs_true.dat
deleted file mode 100644
index b120e9fd62..0000000000
--- a/tests/test_filter_energy/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-49835200052ee1a4c9583a7bb4e9430de7d01a6d7a8d4f63ae37be9bbac4fd8c7ed9135ecbc4ab4cb075fd4d77b322265783463dd07c127decceee8c9fe25bfd
\ No newline at end of file
diff --git a/tests/test_filter_energy/results_true.dat b/tests/test_filter_energy/results_true.dat
deleted file mode 100644
index 599e0bf888..0000000000
--- a/tests/test_filter_energy/results_true.dat
+++ /dev/null
@@ -1,11 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-2.844008E+01
-1.619630E+02
-4.425619E+01
-3.938244E+02
-5.527425E+01
-6.120383E+02
-9.799897E+00
-1.957877E+01
diff --git a/tests/test_filter_energy/test_filter_energy.py b/tests/test_filter_energy/test_filter_energy.py
deleted file mode 100644
index 54d1dd4b7f..0000000000
--- a/tests/test_filter_energy/test_filter_energy.py
+++ /dev/null
@@ -1,30 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class FilterEnergyTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='energy',
-                             bins=(0.0, 0.253e-6, 1.0e-3, 1.0, 20.0))
-        tally = openmc.Tally(tally_id=1)
-        tally.add_filter(filt)
-        tally.add_score('total')
-        self._input_set.tallies = openmc.TalliesFile()
-        self._input_set.tallies.add_tally(tally)
-
-        super(FilterEnergyTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(FilterEnergyTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = FilterEnergyTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_filter_energyout/inputs_true.dat b/tests/test_filter_energyout/inputs_true.dat
deleted file mode 100644
index 7096648e6c..0000000000
--- a/tests/test_filter_energyout/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-183b4a06cbd0930cfa4f28d0c385cf3ae93ab97c171580c2ba9eec0e4b716102ad83f510d62258ef6769c446e72e1d5ba9f630b171ee239ec04c9bbd1e56742e
\ No newline at end of file
diff --git a/tests/test_filter_energyout/results_true.dat b/tests/test_filter_energyout/results_true.dat
deleted file mode 100644
index 814385d5a4..0000000000
--- a/tests/test_filter_energyout/results_true.dat
+++ /dev/null
@@ -1,11 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-2.842000E+01
-1.620214E+02
-4.361000E+01
-3.810139E+02
-5.297000E+01
-5.616595E+02
-6.530000E+00
-8.828900E+00
diff --git a/tests/test_filter_energyout/test_filter_energyout.py b/tests/test_filter_energyout/test_filter_energyout.py
deleted file mode 100644
index 43a8c7d5a9..0000000000
--- a/tests/test_filter_energyout/test_filter_energyout.py
+++ /dev/null
@@ -1,30 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class FilterEnergyoutTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='energyout',
-                             bins=(0.0, 0.253e-6, 1.0e-3, 1.0, 20.0))
-        tally = openmc.Tally(tally_id=1)
-        tally.add_filter(filt)
-        tally.add_score('scatter')
-        self._input_set.tallies = openmc.TalliesFile()
-        self._input_set.tallies.add_tally(tally)
-
-        super(FilterEnergyoutTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(FilterEnergyoutTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = FilterEnergyoutTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_filter_group_transfer/inputs_true.dat b/tests/test_filter_group_transfer/inputs_true.dat
deleted file mode 100644
index 813bb43c18..0000000000
--- a/tests/test_filter_group_transfer/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-461a6a4ec3b0b6dc7199c09fa8f527e51cc7a1ea4281a708f8b7bcdbb12f7162027928dfcef68a24eaf6c06037a68e151df9aac9eac6ce56617466f2f5270b71
\ No newline at end of file
diff --git a/tests/test_filter_group_transfer/results_true.dat b/tests/test_filter_group_transfer/results_true.dat
deleted file mode 100644
index c41451e776..0000000000
--- a/tests/test_filter_group_transfer/results_true.dat
+++ /dev/null
@@ -1,67 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-2.576000E+01
-1.331666E+02
-0.000000E+00
-0.000000E+00
-7.000000E-02
-1.300000E-03
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-1.050675E+00
-2.274991E-01
-0.000000E+00
-0.000000E+00
-2.070821E+00
-8.886068E-01
-2.660000E+00
-1.422000E+00
-0.000000E+00
-0.000000E+00
-3.897000E+01
-3.042635E+02
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-4.352932E-01
-4.705717E-02
-0.000000E+00
-0.000000E+00
-1.018668E+00
-2.090017E-01
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-4.570000E+00
-4.182700E+00
-0.000000E+00
-0.000000E+00
-4.968000E+01
-4.940534E+02
-6.537406E-02
-1.230788E-03
-0.000000E+00
-0.000000E+00
-8.678070E-02
-2.482037E-03
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-3.290000E+00
-2.178900E+00
-1.610879E-01
-5.883677E-03
-6.530000E+00
-8.828900E+00
-3.151783E-01
-2.052521E-02
diff --git a/tests/test_filter_group_transfer/test_filter_group_transfer.py b/tests/test_filter_group_transfer/test_filter_group_transfer.py
deleted file mode 100644
index cbea5e0a7f..0000000000
--- a/tests/test_filter_group_transfer/test_filter_group_transfer.py
+++ /dev/null
@@ -1,34 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class FilterGroupTransferTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt1 = openmc.Filter(type='energy',
-                              bins=(0.0, 0.253e-6, 1.0e-3, 1.0, 20.0))
-        filt2 = openmc.Filter(type='energyout',
-                              bins=(0.0, 0.253e-6, 1.0e-3, 1.0, 20.0))
-        tally = openmc.Tally(tally_id=1)
-        tally.add_filter(filt1)
-        tally.add_filter(filt2)
-        tally.add_score('scatter')
-        tally.add_score('nu-fission')
-        self._input_set.tallies = openmc.TalliesFile()
-        self._input_set.tallies.add_tally(tally)
-
-        super(FilterGroupTransferTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(FilterGroupTransferTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = FilterGroupTransferTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_filter_material/inputs_true.dat b/tests/test_filter_material/inputs_true.dat
deleted file mode 100644
index aaa4a4939f..0000000000
--- a/tests/test_filter_material/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-2fbd0986abff08126680925284929cf67bdad0cd564775197b78065ce3b0e6ad8094f5ca4d14ea69347db69a6cdcc9796a095178ae9b14a927b101f32f3cd0ec
\ No newline at end of file
diff --git a/tests/test_filter_material/results_true.dat b/tests/test_filter_material/results_true.dat
deleted file mode 100644
index d2b23e2901..0000000000
--- a/tests/test_filter_material/results_true.dat
+++ /dev/null
@@ -1,11 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-2.868239E+01
-1.648549E+02
-6.779424E+00
-9.202676E+00
-6.446222E+01
-8.387204E+02
-3.367496E+01
-2.349072E+02
diff --git a/tests/test_filter_material/test_filter_material.py b/tests/test_filter_material/test_filter_material.py
deleted file mode 100644
index 8e42d8c9a2..0000000000
--- a/tests/test_filter_material/test_filter_material.py
+++ /dev/null
@@ -1,29 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class FilterMaterialTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='material', bins=(1, 2, 3, 4))
-        tally = openmc.Tally(tally_id=1)
-        tally.add_filter(filt)
-        tally.add_score('total')
-        self._input_set.tallies = openmc.TalliesFile()
-        self._input_set.tallies.add_tally(tally)
-
-        super(FilterMaterialTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(FilterMaterialTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = FilterMaterialTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_filter_mesh_2d/results_true.dat b/tests/test_filter_mesh_2d/results_true.dat
index 21946086b9..f4c5979526 100644
--- a/tests/test_filter_mesh_2d/results_true.dat
+++ b/tests/test_filter_mesh_2d/results_true.dat
@@ -1,5 +1,5 @@
 k-combined:
-1.005983E+00 2.248579E-02
+9.581522E-01 4.261830E-02
 tally 1:
 0.000000E+00
 0.000000E+00
@@ -45,10 +45,6 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-3.228098E-02
-1.042062E-03
-3.222708E-01
-1.038585E-01
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -57,8 +53,16 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
+1.474078E-01
+2.172907E-02
+6.386562E-02
+4.078817E-03
 0.000000E+00
 0.000000E+00
+2.905797E-02
+8.443654E-04
+7.532560E-03
+5.673946E-05
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -67,6 +71,10 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
+1.149324E-01
+1.320945E-02
+2.465048E-02
+3.049063E-04
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -75,14 +83,20 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-8.182335E-01
-3.748630E-01
-2.711997E-01
-5.338821E-02
-3.359680E-01
-5.168399E-02
 0.000000E+00
 0.000000E+00
+7.002118E-02
+4.902965E-03
+5.128548E-01
+1.258296E-01
+1.379070E+00
+4.300261E-01
+1.040956E+00
+3.089102E-01
+1.237157E+00
+6.284409E-01
+9.539296E-01
+5.206980E-01
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -91,12 +105,30 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
+2.001407E+00
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@@ -251,28 +180,26 @@ tally 1:
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@@ -528,19 +467,17 @@ tally 1:
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@@ -551,8 +488,71 @@ tally 1:
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diff --git a/tests/test_filter_mesh_3d/results_true.dat b/tests/test_filter_mesh_3d/results_true.dat
index 239a9f01a6..88a5228278 100644
--- a/tests/test_filter_mesh_3d/results_true.dat
+++ b/tests/test_filter_mesh_3d/results_true.dat
@@ -1,5 +1,5 @@
 k-combined:
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 tally 1:
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@@ -753,8 +753,6 @@ tally 1:
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@@ -787,8 +785,6 @@ tally 1:
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@@ -901,6 +897,10 @@ tally 1:
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 0.000000E+00
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@@ -931,6 +931,8 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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@@ -997,6 +999,8 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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@@ -1029,6 +1033,8 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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@@ -1251,6 +1257,8 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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@@ -1261,12 +1269,6 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -1299,10 +1301,6 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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@@ -1329,12 +1327,6 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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@@ -1451,6 +1443,8 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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@@ -1475,10 +1469,16 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
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 0.000000E+00
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@@ -1501,6 +1501,18 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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@@ -1515,6 +1527,8 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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@@ -1525,6 +1539,12 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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@@ -1541,6 +1561,8 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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@@ -1553,6 +1575,12 @@ tally 1:
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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@@ -1579,12 +1607,12 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
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@@ -1773,6 +1801,8 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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@@ -1805,6 +1835,8 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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@@ -1843,8 +1875,6 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
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@@ -1875,12 +1905,6 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -1907,16 +1931,12 @@ tally 1:
 0.000000E+00
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@@ -1943,12 +1963,14 @@ tally 1:
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@@ -1977,6 +1999,10 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -2001,16 +2027,16 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
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@@ -2019,8 +2045,18 @@ tally 1:
 0.000000E+00
 0.000000E+00
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@@ -2037,28 +2073,56 @@ tally 1:
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 0.000000E+00
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@@ -2075,6 +2139,10 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -2083,6 +2151,12 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -2097,6 +2171,10 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -2119,8 +2197,6 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -2157,18 +2233,10 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -2191,18 +2259,10 @@ tally 1:
 0.000000E+00
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@@ -2225,16 +2285,6 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -2265,10 +2315,6 @@ tally 1:
 0.000000E+00
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@@ -2333,6 +2379,8 @@ tally 1:
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@@ -2353,10 +2401,6 @@ tally 1:
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@@ -2387,12 +2431,6 @@ tally 1:
 0.000000E+00
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@@ -2421,12 +2459,6 @@ tally 1:
 0.000000E+00
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@@ -2455,10 +2487,6 @@ tally 1:
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@@ -2477,6 +2505,14 @@ tally 1:
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@@ -2487,14 +2523,6 @@ tally 1:
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@@ -2513,6 +2541,12 @@ tally 1:
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@@ -2523,10 +2557,6 @@ tally 1:
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@@ -2545,8 +2575,12 @@ tally 1:
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@@ -2611,30 +2649,24 @@ tally 1:
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@@ -2645,32 +2677,30 @@ tally 1:
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@@ -2687,6 +2717,10 @@ tally 1:
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@@ -2695,16 +2729,10 @@ tally 1:
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@@ -2723,8 +2751,16 @@ tally 1:
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@@ -2735,16 +2771,6 @@ tally 1:
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@@ -2761,6 +2787,8 @@ tally 1:
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@@ -2769,16 +2797,6 @@ tally 1:
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@@ -2805,14 +2823,6 @@ tally 1:
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@@ -2843,10 +2853,6 @@ tally 1:
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@@ -2933,8 +2939,6 @@ tally 1:
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 0.000000E+00
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@@ -2965,14 +2969,6 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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@@ -2981,10 +2977,6 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
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@@ -3015,10 +3007,6 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
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@@ -3085,8 +3073,6 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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@@ -3097,6 +3083,14 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -3123,10 +3117,14 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
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@@ -3137,10 +3135,6 @@ tally 1:
 0.000000E+00
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@@ -3155,26 +3149,22 @@ tally 1:
 0.000000E+00
 0.000000E+00
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@@ -3191,26 +3181,18 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -3237,14 +3219,6 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
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@@ -3255,6 +3229,8 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -3263,8 +3239,16 @@ tally 1:
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@@ -3277,18 +3261,28 @@ tally 1:
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@@ -3303,28 +3297,24 @@ tally 1:
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@@ -3347,22 +3337,10 @@ tally 1:
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 0.000000E+00
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@@ -3383,26 +3361,12 @@ tally 1:
 0.000000E+00
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@@ -3419,20 +3383,6 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -3463,10 +3413,6 @@ tally 1:
 0.000000E+00
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@@ -3475,10 +3421,6 @@ tally 1:
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@@ -3509,10 +3451,6 @@ tally 1:
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@@ -3559,8 +3497,6 @@ tally 1:
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@@ -3593,14 +3529,12 @@ tally 1:
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@@ -3629,12 +3563,14 @@ tally 1:
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@@ -3663,14 +3599,12 @@ tally 1:
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@@ -3701,10 +3635,6 @@ tally 1:
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@@ -3715,8 +3645,6 @@ tally 1:
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@@ -3733,28 +3661,20 @@ tally 1:
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@@ -3769,10 +3689,6 @@ tally 1:
 0.000000E+00
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@@ -3783,12 +3699,14 @@ tally 1:
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@@ -3813,12 +3731,12 @@ tally 1:
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@@ -3831,8 +3749,6 @@ tally 1:
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@@ -3849,8 +3765,6 @@ tally 1:
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@@ -3859,18 +3773,14 @@ tally 1:
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@@ -3897,8 +3801,6 @@ tally 1:
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@@ -3933,24 +3841,26 @@ tally 1:
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@@ -3961,24 +3871,6 @@ tally 1:
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@@ -3997,20 +3895,8 @@ tally 1:
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@@ -4053,8 +3937,6 @@ tally 1:
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@@ -4265,24 +4163,32 @@ tally 1:
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 0.000000E+00
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@@ -4293,6 +4199,10 @@ tally 1:
 0.000000E+00
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@@ -4301,6 +4211,10 @@ tally 1:
 0.000000E+00
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@@ -4329,28 +4243,22 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
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@@ -4363,22 +4271,12 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -4407,16 +4305,12 @@ tally 1:
 0.000000E+00
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@@ -4427,10 +4321,6 @@ tally 1:
 0.000000E+00
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@@ -4439,16 +4329,6 @@ tally 1:
 0.000000E+00
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@@ -4459,14 +4339,6 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -4475,14 +4347,8 @@ tally 1:
 0.000000E+00
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@@ -4513,16 +4379,18 @@ tally 1:
 0.000000E+00
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@@ -4541,22 +4409,8 @@ tally 1:
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@@ -4575,26 +4429,16 @@ tally 1:
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@@ -4615,14 +4459,6 @@ tally 1:
 0.000000E+00
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@@ -4631,6 +4467,10 @@ tally 1:
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@@ -5381,14 +5379,26 @@ tally 1:
 0.000000E+00
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@@ -5411,12 +5421,10 @@ tally 1:
 0.000000E+00
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@@ -5445,10 +5453,6 @@ tally 1:
 0.000000E+00
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@@ -5485,8 +5489,6 @@ tally 1:
 0.000000E+00
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@@ -5497,10 +5499,12 @@ tally 1:
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@@ -5519,34 +5523,24 @@ tally 1:
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@@ -5561,14 +5555,6 @@ tally 1:
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@@ -5577,16 +5563,10 @@ tally 1:
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@@ -5611,22 +5591,20 @@ tally 1:
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@@ -5639,22 +5617,28 @@ tally 1:
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@@ -5669,6 +5653,12 @@ tally 1:
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@@ -5717,6 +5717,16 @@ tally 1:
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@@ -5735,16 +5745,8 @@ tally 1:
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@@ -5757,6 +5759,8 @@ tally 1:
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@@ -6567,12 +6639,6 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -6597,20 +6663,10 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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@@ -6631,10 +6687,6 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 0.000000E+00
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@@ -6671,8 +6723,6 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
 0.000000E+00
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@@ -6703,12 +6753,6 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
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@@ -6737,12 +6781,6 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
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@@ -6767,16 +6805,14 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
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 0.000000E+00
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@@ -6801,22 +6837,18 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
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@@ -6835,16 +6867,8 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
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@@ -6855,6 +6879,12 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -6941,10 +6971,6 @@ tally 1:
 0.000000E+00
 0.000000E+00
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 0.000000E+00
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@@ -6973,10 +6999,6 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -6995,10 +7017,6 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -7007,12 +7025,8 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -7029,10 +7043,6 @@ tally 1:
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 0.000000E+00
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@@ -7041,10 +7051,6 @@ tally 1:
 0.000000E+00
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@@ -7175,8 +7179,6 @@ tally 1:
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@@ -7209,8 +7211,6 @@ tally 1:
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 0.000000E+00
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@@ -7249,8 +7249,6 @@ tally 1:
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 0.000000E+00
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@@ -7283,8 +7281,6 @@ tally 1:
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 0.000000E+00
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@@ -7315,10 +7311,6 @@ tally 1:
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@@ -7349,10 +7341,6 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -7413,12 +7395,6 @@ tally 1:
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+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+5.214580E-02
+2.719184E-03
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -9359,10 +9363,6 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-1.668786E-02
-2.784846E-04
-2.256035E-01
-5.089693E-02
 0.000000E+00
 0.000000E+00
 0.000000E+00
diff --git a/tests/test_filter_mu/inputs_true.dat b/tests/test_filter_mu/inputs_true.dat
deleted file mode 100644
index b0a607ad34..0000000000
--- a/tests/test_filter_mu/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-cd2aeb24baafe9a904e697955990f6cffb5f25618fdf8c972775715bfe6e92bc259e36fd2b5addff8181439de58ad6f530972ec391e827f46146a2aaace34358
\ No newline at end of file
diff --git a/tests/test_filter_mu/results_true.dat b/tests/test_filter_mu/results_true.dat
deleted file mode 100644
index e647a46ec0..0000000000
--- a/tests/test_filter_mu/results_true.dat
+++ /dev/null
@@ -1,121 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-1.241000E+01
-3.088870E+01
-1.241000E+01
-3.088870E+01
-1.364000E+01
-3.727140E+01
-1.364000E+01
-3.727140E+01
-3.251000E+01
-2.118597E+02
-3.251000E+01
-2.118597E+02
-7.297000E+01
-1.066904E+03
-7.297000E+01
-1.066904E+03
-tally 2:
-9.880000E+00
-1.964520E+01
-9.880000E+00
-1.964520E+01
-1.022000E+01
-2.099620E+01
-1.022000E+01
-2.099620E+01
-1.479000E+01
-4.397670E+01
-1.479000E+01
-4.397670E+01
-3.470000E+01
-2.412094E+02
-3.470000E+01
-2.412094E+02
-6.194000E+01
-7.687326E+02
-6.194000E+01
-7.687326E+02
-tally 3:
-3.560000E+00
-2.681800E+00
-3.560000E+00
-2.681800E+00
-1.930000E+00
-7.915000E-01
-1.930000E+00
-7.915000E-01
-3.870000E+00
-3.109100E+00
-3.870000E+00
-3.109100E+00
-3.500000E-01
-3.630000E-02
-3.500000E-01
-3.630000E-02
-3.680000E+00
-2.840200E+00
-3.680000E+00
-2.840200E+00
-2.050000E+00
-8.735000E-01
-2.050000E+00
-8.735000E-01
-3.910000E+00
-3.085100E+00
-3.910000E+00
-3.085100E+00
-3.900000E-01
-3.610000E-02
-3.900000E-01
-3.610000E-02
-5.130000E+00
-5.422100E+00
-5.130000E+00
-5.422100E+00
-3.100000E+00
-1.959200E+00
-3.100000E+00
-1.959200E+00
-5.840000E+00
-6.914600E+00
-5.840000E+00
-6.914600E+00
-5.400000E-01
-8.980000E-02
-5.400000E-01
-8.980000E-02
-1.215000E+01
-3.061010E+01
-1.215000E+01
-3.061010E+01
-7.220000E+00
-1.081680E+01
-7.220000E+00
-1.081680E+01
-1.355000E+01
-3.699090E+01
-1.355000E+01
-3.699090E+01
-1.360000E+00
-5.098000E-01
-1.360000E+00
-5.098000E-01
-2.199000E+01
-9.837430E+01
-2.199000E+01
-9.837430E+01
-1.243000E+01
-3.167470E+01
-1.243000E+01
-3.167470E+01
-2.451000E+01
-1.233915E+02
-2.451000E+01
-1.233915E+02
-2.460000E+00
-1.687000E+00
-2.460000E+00
-1.687000E+00
diff --git a/tests/test_filter_mu/test_filter_mu.py b/tests/test_filter_mu/test_filter_mu.py
deleted file mode 100644
index f59f8c63fd..0000000000
--- a/tests/test_filter_mu/test_filter_mu.py
+++ /dev/null
@@ -1,53 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class FilterMuTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt1 = openmc.Filter(type='mu',
-                              bins=(-1.0, -0.5, 0.0, 0.5, 1.0))
-        tally1 = openmc.Tally(tally_id=1)
-        tally1.add_filter(filt1)
-        tally1.add_score('scatter')
-        tally1.add_score('nu-scatter')
-
-        filt2 = openmc.Filter(type='mu', bins=(5,))
-        tally2 = openmc.Tally(tally_id=2)
-        tally2.add_filter(filt2)
-        tally2.add_score('scatter')
-        tally2.add_score('nu-scatter')
-
-        mesh = openmc.Mesh(mesh_id=1)
-        mesh.lower_left  = [-182.07, -182.07]
-        mesh.upper_right = [182.07,  182.07]
-        mesh.dimension = [2, 2]
-        filt_mesh = openmc.Filter(type='mesh', bins=(1,))
-        tally3 = openmc.Tally(tally_id=3)
-        tally3.add_filter(filt2)
-        tally3.add_filter(filt_mesh)
-        tally3.add_score('scatter')
-        tally3.add_score('nu-scatter')
-
-
-        self._input_set.tallies = openmc.TalliesFile()
-        self._input_set.tallies.add_tally(tally1)
-        self._input_set.tallies.add_tally(tally2)
-        self._input_set.tallies.add_tally(tally3)
-        self._input_set.tallies.add_mesh(mesh)
-
-        super(FilterMuTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(FilterMuTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = FilterMuTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_filter_polar/inputs_true.dat b/tests/test_filter_polar/inputs_true.dat
deleted file mode 100644
index db67a890f1..0000000000
--- a/tests/test_filter_polar/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-2de29e0a083af0722039ebc246469f26e260d604ab8b76314b2ac472bbd23004e031aec7afe3dbfc4c6112428846cd0cf0c1430e878832b9dab36463d026dee6
\ No newline at end of file
diff --git a/tests/test_filter_polar/results_true.dat b/tests/test_filter_polar/results_true.dat
deleted file mode 100644
index 2d822630e5..0000000000
--- a/tests/test_filter_polar/results_true.dat
+++ /dev/null
@@ -1,76 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-2.127061E+01
-9.220793E+01
-5.602776E+01
-6.373945E+02
-6.367492E+01
-8.138443E+02
-5.529942E+01
-6.140264E+02
-1.951517E+01
-7.668661E+01
-tally 2:
-2.075936E+01
-8.757254E+01
-5.524881E+01
-6.153139E+02
-6.475252E+01
-8.402281E+02
-5.446664E+01
-5.961174E+02
-2.074180E+01
-8.681580E+01
-tally 3:
-2.128073E+01
-9.230382E+01
-5.601764E+01
-6.371703E+02
-6.367492E+01
-8.138443E+02
-5.529942E+01
-6.140264E+02
-1.951517E+01
-7.668661E+01
-tally 4:
-8.088647E+00
-1.396899E+01
-3.960907E+00
-3.249150E+00
-8.430714E+00
-1.435355E+01
-7.192159E-01
-1.641710E-01
-1.974619E+01
-8.105078E+01
-1.212452E+01
-3.016420E+01
-2.228348E+01
-1.050847E+02
-1.748809E+00
-9.501796E-01
-2.257423E+01
-1.038902E+02
-1.351331E+01
-3.969787E+01
-2.507638E+01
-1.283664E+02
-2.193118E+00
-1.424580E+00
-2.192232E+01
-9.859711E+01
-1.096779E+01
-2.506373E+01
-2.074138E+01
-8.670015E+01
-1.469145E+00
-8.072204E-01
-6.850719E+00
-9.425536E+00
-4.584038E+00
-4.399762E+00
-7.176883E+00
-1.090693E+01
-8.244944E-01
-1.794291E-01
diff --git a/tests/test_filter_polar/test_filter_polar.py b/tests/test_filter_polar/test_filter_polar.py
deleted file mode 100644
index db7ed4f6d8..0000000000
--- a/tests/test_filter_polar/test_filter_polar.py
+++ /dev/null
@@ -1,59 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-class FilterPolarTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt1 = openmc.Filter(type='polar',
-                              bins=(0.0, 0.6283, 1.2566, 1.8850, 2.5132,
-                                    3.1416))
-        tally1 = openmc.Tally(tally_id=1)
-        tally1.add_filter(filt1)
-        tally1.add_score('flux')
-        tally1.estimator = 'tracklength'
-
-        tally2 = openmc.Tally(tally_id=2)
-        tally2.add_filter(filt1)
-        tally2.add_score('flux')
-        tally2.estimator = 'analog'
-
-        filt3 = openmc.Filter(type='polar', bins=(5,))
-        tally3 = openmc.Tally(tally_id=3)
-        tally3.add_filter(filt3)
-        tally3.add_score('flux')
-        tally3.estimator = 'tracklength'
-
-        mesh = openmc.Mesh(mesh_id=1)
-        mesh.lower_left  = [-182.07, -182.07]
-        mesh.upper_right = [182.07,  182.07]
-        mesh.dimension = [2, 2]
-        filt_mesh = openmc.Filter(type='mesh', bins=(1,))
-        tally4 = openmc.Tally(tally_id=4)
-        tally4.add_filter(filt3)
-        tally4.add_filter(filt_mesh)
-        tally4.add_score('flux')
-        tally4.estimator = 'tracklength'
-
-
-        self._input_set.tallies = openmc.TalliesFile()
-        self._input_set.tallies.add_tally(tally1)
-        self._input_set.tallies.add_tally(tally2)
-        self._input_set.tallies.add_tally(tally3)
-        self._input_set.tallies.add_tally(tally4)
-        self._input_set.tallies.add_mesh(mesh)
-
-        super(FilterPolarTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(FilterPolarTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = FilterPolarTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_filter_universe/inputs_true.dat b/tests/test_filter_universe/inputs_true.dat
deleted file mode 100644
index 7cda1ab848..0000000000
--- a/tests/test_filter_universe/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-51fcaf0aa527d1fd1022e5f312d4d25cd9bacc5fc9792d9f7702ee97cac43700a31f25be767a2cff769c37b5e1cdf3f922467977a9958fa34561e2a102bf8537
\ No newline at end of file
diff --git a/tests/test_filter_universe/results_true.dat b/tests/test_filter_universe/results_true.dat
deleted file mode 100644
index f71c4d2c21..0000000000
--- a/tests/test_filter_universe/results_true.dat
+++ /dev/null
@@ -1,11 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-7.510505E+01
-1.143811E+03
-8.792943E+00
-1.575416E+01
-4.214462E+01
-3.642975E+02
-4.335157E+00
-3.864423E+00
diff --git a/tests/test_filter_universe/test_filter_universe.py b/tests/test_filter_universe/test_filter_universe.py
deleted file mode 100644
index 00dd166196..0000000000
--- a/tests/test_filter_universe/test_filter_universe.py
+++ /dev/null
@@ -1,29 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class FilterUniverseTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='universe', bins=(1, 2, 3, 4))
-        tally = openmc.Tally(tally_id=1)
-        tally.add_filter(filt)
-        tally.add_score('total')
-        self._input_set.tallies = openmc.TalliesFile()
-        self._input_set.tallies.add_tally(tally)
-
-        super(FilterUniverseTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(FilterUniverseTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = FilterUniverseTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_fixed_source/materials.xml b/tests/test_fixed_source/materials.xml
index 5242021d34..ab7a76bc00 100644
--- a/tests/test_fixed_source/materials.xml
+++ b/tests/test_fixed_source/materials.xml
@@ -4,6 +4,7 @@
   <material id="1">
     <density value="7.5" units="g/cc" />
     <nuclide name="O-16" xs="71c" ao="1.0" />
+    <nuclide name="U-238" xs="71c" ao="0.0001" />
   </material>
 
 </materials>
diff --git a/tests/test_fixed_source/results_true.dat b/tests/test_fixed_source/results_true.dat
index 0940301886..6246dfaf62 100644
--- a/tests/test_fixed_source/results_true.dat
+++ b/tests/test_fixed_source/results_true.dat
@@ -1,6 +1,6 @@
 tally 1:
-4.538791E+02
-2.073271E+04
+4.448476E+02
+1.984373E+04
 leakage:
-9.830000E+00
-9.663900E+00
+9.790000E+00
+9.588300E+00
diff --git a/tests/test_infinite_cell/results_true.dat b/tests/test_infinite_cell/results_true.dat
index 0b8d929518..b909c92bbf 100644
--- a/tests/test_infinite_cell/results_true.dat
+++ b/tests/test_infinite_cell/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-9.788797E-02 1.378250E-03
+9.893460E-02 1.178316E-03
diff --git a/tests/test_iso_in_lab/inputs_true.dat b/tests/test_iso_in_lab/inputs_true.dat
new file mode 100644
index 0000000000..bd722c9f67
--- /dev/null
+++ b/tests/test_iso_in_lab/inputs_true.dat
@@ -0,0 +1 @@
+85faac9b8c725ec9242ebc3793b70dcd1c8e58aeb4296345aefd8031304263bd66eaad0c6f1c61a1c644b73f397699856ab3d76d2b397295176650b4069acc9e
\ No newline at end of file
diff --git a/tests/test_iso_in_lab/results_true.dat b/tests/test_iso_in_lab/results_true.dat
new file mode 100644
index 0000000000..354ccb0f8c
--- /dev/null
+++ b/tests/test_iso_in_lab/results_true.dat
@@ -0,0 +1,2 @@
+k-combined:
+9.638450E-01 1.237705E-02
diff --git a/tests/test_iso_in_lab/test_iso_in_lab.py b/tests/test_iso_in_lab/test_iso_in_lab.py
new file mode 100644
index 0000000000..b60daea117
--- /dev/null
+++ b/tests/test_iso_in_lab/test_iso_in_lab.py
@@ -0,0 +1,26 @@
+#!/usr/bin/env python
+
+import os
+import sys
+import glob
+import hashlib
+sys.path.insert(0, os.pardir)
+from testing_harness import PyAPITestHarness
+import openmc
+import openmc.mgxs
+
+
+class IsoInLabTestHarness(PyAPITestHarness):
+
+    def _build_inputs(self):
+        """Write input XML files with iso-in-lab scattering."""
+
+        self._input_set.build_default_materials_and_geometry()
+        self._input_set.build_default_settings()
+        self._input_set.materials.make_isotropic_in_lab()
+        self._input_set.export()
+
+
+if __name__ == '__main__':
+    harness = IsoInLabTestHarness('statepoint.10.*')
+    harness.main()
diff --git a/tests/test_lattice/results_true.dat b/tests/test_lattice/results_true.dat
index cf51dd5d73..1d3d47fc45 100644
--- a/tests/test_lattice/results_true.dat
+++ b/tests/test_lattice/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-1.042388E+00 1.575316E-01
+9.413559E-01 6.157522E-02
diff --git a/tests/test_lattice_hex/results_true.dat b/tests/test_lattice_hex/results_true.dat
index b88285ff2e..4ba727dbfe 100644
--- a/tests/test_lattice_hex/results_true.dat
+++ b/tests/test_lattice_hex/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-2.831014E-01 2.269849E-02
+2.496460E-01 1.257055E-02
diff --git a/tests/test_lattice_mixed/results_true.dat b/tests/test_lattice_mixed/results_true.dat
index 7cea76ba00..d3c19b11a5 100644
--- a/tests/test_lattice_mixed/results_true.dat
+++ b/tests/test_lattice_mixed/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-9.922449E-01 1.281824E-02
+9.790311E-01 9.660522E-03
diff --git a/tests/test_lattice_multiple/results_true.dat b/tests/test_lattice_multiple/results_true.dat
index 6caffdd953..5c00c4486a 100644
--- a/tests/test_lattice_multiple/results_true.dat
+++ b/tests/test_lattice_multiple/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-1.005983E+00 2.248579E-02
+9.581522E-01 4.261830E-02
diff --git a/tests/test_many_scores/geometry.xml b/tests/test_many_scores/geometry.xml
deleted file mode 100644
index f6f067aadd..0000000000
--- a/tests/test_many_scores/geometry.xml
+++ /dev/null
@@ -1,181 +0,0 @@
-<?xml version="1.0"?>
-<geometry>
-
-  <surface id="1" type="z-cylinder" coeffs="0. 0. 0.41" />
-  <surface id="2" type="z-cylinder" coeffs="0. 0. 0.475" />
-  <surface id="3" type="z-cylinder" coeffs="0. 0. 0.56" />
-  <surface id="4" type="z-cylinder" coeffs="0. 0. 0.62" />
-  <surface id="5" type="z-cylinder" coeffs="0. 0. 187.6" />
-  <surface id="6" type="z-cylinder" coeffs="0. 0. 209.0" />
-  <surface id="7" type="z-cylinder" coeffs="0. 0. 229.0" />
-  <surface id="8" type="z-cylinder" coeffs="0. 0. 249.0" boundary="vacuum" />
-
-  <surface id="31" type="z-plane" coeffs="-229.0" boundary="vacuum" />
-  <surface id="32" type="z-plane" coeffs="-199.0" />
-  <surface id="33" type="z-plane" coeffs="-193.0" />
-  <surface id="34" type="z-plane" coeffs="-183.0" />
-  <surface id="35" type="z-plane" coeffs="0.0" />
-  <surface id="36" type="z-plane" coeffs="183.0" />
-  <surface id="37" type="z-plane" coeffs="203.0" />
-  <surface id="38" type="z-plane" coeffs="215.0" />
-  <surface id="39" type="z-plane" coeffs="223.0" boundary="vacuum" />
-
-  <!-- All geometry on base universe -->
-  <cell id="1"  fill="200"    region="  -6 34 -35" /> <!-- Lower core -->
-  <cell id="2"  fill="201"    region="  -6 35 -36" /> <!-- Upper core -->
-  <cell id="3"  material="8"  region="  -7 31 -32" /> <!-- Lower core plate region -->
-  <cell id="4"  material="9"  region="  -5 32 -33" /> <!-- Bottom nozzle region -->
-  <cell id="5"  material="12" region="  -5 33 -34" /> <!-- Bottom FA region -->
-  <cell id="6"  material="11" region="  -5 36 -37" /> <!-- Top FA region -->
-  <cell id="7"  material="10" region="  -5 37 -38" /> <!-- Top nozzle region -->
-  <cell id="8"  material="7"  region="  -7 38 -39" /> <!-- Upper plate region -->
-  <cell id="9"  material="4"  region="6 -7 32 -38" /> <!-- Downcomer -->
-  <cell id="10" material="5"  region="7 -8 31 -39" /> <!-- RPV -->
-  <cell id="11" material="6"  region="5 -6 32 -34" /> <!-- Bottom of radial reflector -->
-  <cell id="12" material="7"  region="5 -6 36 -38" /> <!-- Top of radial reflector -->
-
-  <!-- Fuel pin, cladding, cold water -->
-  <cell id="21" universe="1" material="1" region="-1"   />
-  <cell id="22" universe="1" material="2" region="1 -2" />
-  <cell id="23" universe="1" material="3" region="2"    />
-
-  <!-- Instrumentation guide tube -->
-  <cell id="24" universe="2" material="3" region="-3"   />
-  <cell id="25" universe="2" material="2" region="3 -4" />
-  <cell id="26" universe="2" material="3" region="4"    />
-
-  <!-- Fuel pin, cladding, hot water -->
-  <cell id="27" universe="3" material="1" region="-1"   />
-  <cell id="28" universe="3" material="2" region="1 -2" />
-  <cell id="29" universe="3" material="4" region="2"    />
-
-  <!-- Instrumentation guide tube -->
-  <cell id="30" universe="4" material="4" region="-3"   />
-  <cell id="31" universe="4" material="2" region="3 -4" />
-  <cell id="32" universe="4" material="4" region="4"    />
-
-  <!-- cell for water assembly (cold) -->
-  <cell id="50" universe="5" material="4" region="34 -35" />
-
-  <!-- containing cell for fuel assembly -->
-  <cell id="60" universe="6" fill="100"   region="34 -35" />
-
-  <!-- cell for water assembly (hot) -->
-  <cell id="70" universe="7" material="3" region="35 -36" />
-
-  <!-- containing cell for fuel assembly -->
-  <cell id="80" universe="8" fill="101"   region="35 -36" />
-
-  <!-- Fuel Assembly (Lower Half) -->
-  <lattice id="100">
-    <dimension>17 17</dimension>
-    <lower_left>-10.71 -10.71</lower_left>
-    <pitch>1.26 1.26</pitch>
-    <universes>
-      1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
-      1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
-      1 1 1 1 1 2 1 1 2 1 1 2 1 1 1 1 1
-      1 1 1 2 1 1 1 1 1 1 1 1 1 2 1 1 1
-      1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
-      1 1 2 1 1 2 1 1 2 1 1 2 1 1 2 1 1
-      1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
-      1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
-      1 1 2 1 1 2 1 1 2 1 1 2 1 1 2 1 1
-      1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
-      1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
-      1 1 2 1 1 2 1 1 2 1 1 2 1 1 2 1 1
-      1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
-      1 1 1 2 1 1 1 1 1 1 1 1 1 2 1 1 1
-      1 1 1 1 1 2 1 1 2 1 1 2 1 1 1 1 1
-      1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
-      1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
-    </universes>
-  </lattice>
-
-  <!-- Fuel Assembly (Upper Half) -->
-  <lattice id="101">
-    <dimension>17 17</dimension>
-    <lower_left>-10.71 -10.71</lower_left>
-    <pitch>1.26 1.26</pitch>
-    <universes>
-      3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
-      3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
-      3 3 3 3 3 4 3 3 4 3 3 4 3 3 3 3 3
-      3 3 3 4 3 3 3 3 3 3 3 3 3 4 3 3 3
-      3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
-      3 3 4 3 3 4 3 3 4 3 3 4 3 3 4 3 3
-      3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
-      3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
-      3 3 4 3 3 4 3 3 4 3 3 4 3 3 4 3 3
-      3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
-      3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
-      3 3 4 3 3 4 3 3 4 3 3 4 3 3 4 3 3
-      3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
-      3 3 3 4 3 3 3 3 3 3 3 3 3 4 3 3 3
-      3 3 3 3 3 4 3 3 4 3 3 4 3 3 3 3 3
-      3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
-      3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
-    </universes>
-  </lattice>
-
-  <!-- Core Lattice (Lower Half) -->
-  <lattice id="200">
-    <dimension>21 21</dimension>
-    <lower_left>-224.91 -224.91</lower_left>
-    <pitch>21.42 21.42</pitch>
-    <universes>
-      5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
-      5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
-      5 5 5 5 5 5 5 6 6 6 6 6 6 6 5 5 5 5 5 5 5
-      5 5 5 5 5 6 6 6 6 6 6 6 6 6 6 6 5 5 5 5 5
-      5 5 5 5 6 6 6 6 6 6 6 6 6 6 6 6 6 5 5 5 5
-      5 5 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 5 5
-      5 5 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 5 5
-      5 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 5
-      5 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 5
-      5 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 5
-      5 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 5
-      5 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 5
-      5 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 5
-      5 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 5
-      5 5 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 5 5
-      5 5 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 5 5
-      5 5 5 5 6 6 6 6 6 6 6 6 6 6 6 6 6 5 5 5 5
-      5 5 5 5 5 6 6 6 6 6 6 6 6 6 6 6 5 5 5 5 5
-      5 5 5 5 5 5 5 6 6 6 6 6 6 6 5 5 5 5 5 5 5
-      5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
-      5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
-    </universes>
-  </lattice>
-
-  <!-- Core Lattice (Upper Half) -->
-  <lattice id="201">
-    <dimension>21 21</dimension>
-    <lower_left>-224.91 -224.91</lower_left>
-    <pitch>21.42 21.42</pitch>
-    <universes>
-      7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7
-      7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7
-      7 7 7 7 7 7 7 8 8 8 8 8 8 8 7 7 7 7 7 7 7
-      7 7 7 7 7 8 8 8 8 8 8 8 8 8 8 8 7 7 7 7 7
-      7 7 7 7 8 8 8 8 8 8 8 8 8 8 8 8 8 7 7 7 7
-      7 7 7 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 7 7 7
-      7 7 7 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 7 7 7
-      7 7 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 7 7
-      7 7 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 7 7
-      7 7 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 7 7
-      7 7 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 7 7
-      7 7 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 7 7
-      7 7 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 7 7
-      7 7 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 7 7
-      7 7 7 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 7 7 7
-      7 7 7 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 7 7 7
-      7 7 7 7 8 8 8 8 8 8 8 8 8 8 8 8 8 7 7 7 7
-      7 7 7 7 7 8 8 8 8 8 8 8 8 8 8 8 7 7 7 7 7
-      7 7 7 7 7 7 7 8 8 8 8 8 8 8 7 7 7 7 7 7 7
-      7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7
-      7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7
-    </universes>
-  </lattice>
-
-</geometry>
diff --git a/tests/test_many_scores/materials.xml b/tests/test_many_scores/materials.xml
deleted file mode 100644
index 9c0b74f3f1..0000000000
--- a/tests/test_many_scores/materials.xml
+++ /dev/null
@@ -1,272 +0,0 @@
-<?xml version="1.0"?>
-<materials>
-
-  <default_xs>71c</default_xs>
-
-  <!-- Fuel composition -->
-  <material id="1">
-    <density value="10.062" units="g/cm3" />
-    <nuclide name="U-234"   ao="4.9476e-6" />
-    <nuclide name="U-235"   ao="4.8218e-4" />
-    <nuclide name="U-236"   ao="9.0402e-5" />
-    <nuclide name="U-238"   ao="2.1504e-2" />
-    <nuclide name="Np-237"  ao="7.3733e-6" />
-    <nuclide name="Pu-238"  ao="1.5148e-6" />
-    <nuclide name="Pu-239"  ao="1.3955e-4" />
-    <nuclide name="Pu-240"  ao="3.4405e-5" />
-    <nuclide name="Pu-241"  ao="2.1439e-5" />
-    <nuclide name="Pu-242"  ao="3.7422e-6" />
-    <nuclide name="Am-241"  ao="4.5041e-7" />
-    <nuclide name="Am-242m" ao="9.2301e-9" />
-    <nuclide name="Am-243"  ao="4.7878e-7" />
-    <nuclide name="Cm-242"  ao="1.0485e-7" />
-    <nuclide name="Cm-243"  ao="1.4268e-9" />
-    <nuclide name="Cm-244"  ao="8.8756e-8" />
-    <nuclide name="Cm-245"  ao="3.5285e-9" />
-    <nuclide name="Mo-95"   ao="2.6497e-5" />
-    <nuclide name="Tc-99"   ao="3.2772e-5" />
-    <nuclide name="Ru-101"  ao="3.0742e-5" />
-    <nuclide name="Ru-103"  ao="2.3505e-6" />
-    <nuclide name="Ag-109"  ao="2.0009e-6" />
-    <nuclide name="Xe-135"  ao="1.0801e-8" />
-    <nuclide name="Cs-133"  ao="3.4612e-5" />
-    <nuclide name="Nd-143"  ao="2.6078e-5" />
-    <nuclide name="Nd-145"  ao="1.9898e-5" />
-    <nuclide name="Sm-147"  ao="1.6128e-6" />
-    <nuclide name="Sm-149"  ao="1.1627e-7" />
-    <nuclide name="Sm-150"  ao="7.1727e-6" />
-    <nuclide name="Sm-151"  ao="5.4947e-7" />
-    <nuclide name="Sm-152"  ao="3.0221e-6" />
-    <nuclide name="Eu-153"  ao="2.6209e-6" />
-    <nuclide name="Gd-155"  ao="1.5369e-9" />
-    <nuclide name="O-16"    ao="4.5737e-2" />
-  </material>
-
-  <!-- Cladding composition -->
-  <material id="2">
-    <density value="5.77" units="g/cm3" />
-    <nuclide name="Zr-90" ao="0.5145" />
-    <nuclide name="Zr-91" ao="0.1122" />
-    <nuclide name="Zr-92" ao="0.1715" />
-    <nuclide name="Zr-94" ao="0.1738" />
-    <nuclide name="Zr-96" ao="0.0280" />
-  </material>
-
-  <!-- Cold borated water -->
-  <material id="3">
-    <density value="0.07416" units="atom/b-cm" />
-    <nuclide name="H-1" ao="2.0" />
-    <nuclide name="O-16" ao="1.0" />
-    <nuclide name="B-10" ao="6.490e-4" />
-    <nuclide name="B-11" ao="2.689e-3" />
-    <sab name="HH2O" xs="71t" />
-  </material>
-
-  <!-- Hot borated water -->
-  <material id="4">
-    <density value="0.06614" units="atom/b-cm" />
-    <nuclide name="H-1"  ao="2.0" />
-    <nuclide name="O-16" ao="1.0" />
-    <nuclide name="B-10" ao="6.490e-4" />
-    <nuclide name="B-11" ao="2.689e-3" />
-    <sab name="HH2O" xs="71t" />
-  </material>
-
-  <!-- RPV Composition -->
-  <material id="5">
-    <density value="7.9" units="g/cm3" />
-    <nuclide name="Fe-54"  wo="0.05437098" />
-    <nuclide name="Fe-56"  wo="0.88500663" />
-    <nuclide name="Fe-57"  wo="0.0208008" />
-    <nuclide name="Fe-58"  wo="0.00282159" />
-    <nuclide name="Ni-58"  wo="0.0067198" />
-    <nuclide name="Ni-60"  wo="0.0026776" />
-    <nuclide name="Ni-61"  wo="0.0001183" />
-    <nuclide name="Ni-62"  wo="0.0003835" />
-    <nuclide name="Ni-64"  wo="0.0001008" />
-    <nuclide name="Mn-55"  wo="0.01" />
-    <nuclide name="Mo-92"  wo="0.000849" />
-    <nuclide name="Mo-94"  wo="0.0005418" />
-    <nuclide name="Mo-95"  wo="0.0009438" />
-    <nuclide name="Mo-96"  wo="0.0010002" />
-    <nuclide name="Mo-97"  wo="0.0005796" />
-    <nuclide name="Mo-98"  wo="0.0014814" />
-    <nuclide name="Mo-100" wo="0.0006042" />
-    <nuclide name="Si-28"  wo="0.00367464" />
-    <nuclide name="Si-29"  wo="0.00019336" />
-    <nuclide name="Si-30"  wo="0.000132" />
-    <nuclide name="Cr-50"  wo="0.00010435" />
-    <nuclide name="Cr-52"  wo="0.002092475" />
-    <nuclide name="Cr-53"  wo="0.00024185" />
-    <nuclide name="Cr-54"  wo="6.1325e-05" />
-    <nuclide name="C-Nat"  wo="0.0025" />
-    <nuclide name="Cu-63"  wo="0.0013696" />
-    <nuclide name="Cu-65"  wo="0.0006304" />
-  </material>
-
-  <!-- Lower radial reflector -->
-  <material id="6">
-    <density value="4.32" units="g/cm3" />
-    <nuclide name="H-1"   wo="0.0095661" />
-    <nuclide name="O-16"  wo="0.0759107" />
-    <nuclide name="B-10"  wo="3.08409e-5" />
-    <nuclide name="B-11"  wo="1.40499e-4" />
-    <nuclide name="Fe-54" wo="0.035620772088" />
-    <nuclide name="Fe-56" wo="0.579805982228" />
-    <nuclide name="Fe-57" wo="0.01362750048" />
-    <nuclide name="Fe-58" wo="0.001848545204" />
-    <nuclide name="Ni-58" wo="0.055298376566" />
-    <nuclide name="Ni-60" wo="0.022034425592" />
-    <nuclide name="Ni-61" wo="0.000973510811" />
-    <nuclide name="Ni-62" wo="0.003155886695" />
-    <nuclide name="Ni-64" wo="0.000829500336" />
-    <nuclide name="Mn-55" wo="0.0182870" />
-    <nuclide name="Si-28" wo="0.00839976771" />
-    <nuclide name="Si-29" wo="0.00044199679" />
-    <nuclide name="Si-30" wo="0.0003017355" />
-    <nuclide name="Cr-50" wo="0.007251360806" />
-    <nuclide name="Cr-52" wo="0.145407678031" />
-    <nuclide name="Cr-53" wo="0.016806340306" />
-    <nuclide name="Cr-54" wo="0.004261520857" />
-    <sab name="HH2O" xs="71t" />
-  </material>
-
-  <!-- Upper radial reflector / Top plate region -->
-  <material id="7">
-    <density value="4.28" units="g/cm3" />
-    <nuclide name="H-1"   wo="0.0086117" />
-    <nuclide name="O-16"  wo="0.0683369" />
-    <nuclide name="B-10"  wo="2.77638e-5" />
-    <nuclide name="B-11"  wo="1.26481e-4" />
-    <nuclide name="Fe-54" wo="0.035953677186" />
-    <nuclide name="Fe-56" wo="0.585224740891" />
-    <nuclide name="Fe-57" wo="0.01375486056" />
-    <nuclide name="Fe-58" wo="0.001865821363" />
-    <nuclide name="Ni-58" wo="0.055815129186" />
-    <nuclide name="Ni-60" wo="0.022240333032" />
-    <nuclide name="Ni-61" wo="0.000982608081" />
-    <nuclide name="Ni-62" wo="0.003185377845" />
-    <nuclide name="Ni-64" wo="0.000837251856" />
-    <nuclide name="Mn-55" wo="0.0184579" />
-    <nuclide name="Si-28" wo="0.00847831314" />
-    <nuclide name="Si-29" wo="0.00044612986" />
-    <nuclide name="Si-30" wo="0.000304557" />
-    <nuclide name="Cr-50" wo="0.00731912987" />
-    <nuclide name="Cr-52" wo="0.146766614995" />
-    <nuclide name="Cr-53" wo="0.01696340737" />
-    <nuclide name="Cr-54" wo="0.004301347765" />
-    <sab name="HH2O" xs="71t" />
-  </material>
-
-  <!-- Bottom plate region -->
-  <material id="8">
-    <density value="7.184" units="g/cm3" />
-    <nuclide name="H-1"   wo="0.0011505" />
-    <nuclide name="O-16"  wo="0.0091296" />
-    <nuclide name="B-10"  wo="3.70915e-6" />
-    <nuclide name="B-11"  wo="1.68974e-5" />
-    <nuclide name="Fe-54" wo="0.03855611055" />
-    <nuclide name="Fe-56" wo="0.627585036425" />
-    <nuclide name="Fe-57" wo="0.014750478" />
-    <nuclide name="Fe-58" wo="0.002000875025" />
-    <nuclide name="Ni-58" wo="0.059855207342" />
-    <nuclide name="Ni-60" wo="0.023850159704" />
-    <nuclide name="Ni-61" wo="0.001053732407" />
-    <nuclide name="Ni-62" wo="0.003415945715" />
-    <nuclide name="Ni-64" wo="0.000897854832" />
-    <nuclide name="Mn-55" wo="0.0197940" />
-    <nuclide name="Si-28" wo="0.00909197802" />
-    <nuclide name="Si-29" wo="0.00047842098" />
-    <nuclide name="Si-30" wo="0.000326601" />
-    <nuclide name="Cr-50" wo="0.007848910646" />
-    <nuclide name="Cr-52" wo="0.157390026871" />
-    <nuclide name="Cr-53" wo="0.018191270146" />
-    <nuclide name="Cr-54" wo="0.004612692337" />
-    <sab name="HH2O" xs="71t" />
-  </material>
-
-  <!-- Bottom nozzle region -->
-  <material id="9">
-    <density value="2.53" units="g/cm3" />
-    <nuclide name="H-1"   wo="0.0245014" />
-    <nuclide name="O-16"  wo="0.1944274" />
-    <nuclide name="B-10"  wo="7.89917e-5" />
-    <nuclide name="B-11"  wo="3.59854e-4" />
-    <nuclide name="Fe-54" wo="0.030411411144" />
-    <nuclide name="Fe-56" wo="0.495012237964" />
-    <nuclide name="Fe-57" wo="0.01163454624" />
-    <nuclide name="Fe-58" wo="0.001578204652" />
-    <nuclide name="Ni-58" wo="0.047211231662" />
-    <nuclide name="Ni-60" wo="0.018811987544" />
-    <nuclide name="Ni-61" wo="0.000831139127" />
-    <nuclide name="Ni-62" wo="0.002694352115" />
-    <nuclide name="Ni-64" wo="0.000708189552" />
-    <nuclide name="Mn-55" wo="0.0156126" />
-    <nuclide name="Si-28" wo="0.007171335558" />
-    <nuclide name="Si-29" wo="0.000377356542" />
-    <nuclide name="Si-30" wo="0.0002576079" />
-    <nuclide name="Cr-50" wo="0.006190885148" />
-    <nuclide name="Cr-52" wo="0.124142524198" />
-    <nuclide name="Cr-53" wo="0.014348496148" />
-    <nuclide name="Cr-54" wo="0.003638294506" />
-    <sab name="HH2O" xs="71t" />
-  </material>
-
-  <!-- Top nozzle region -->
-  <material id="10">
-    <density value="1.746" units="g/cm3" />
-    <nuclide name="H-1"   wo="0.0358870" />
-    <nuclide name="O-16"  wo="0.2847761" />
-    <nuclide name="B-10"  wo="1.15699e-4" />
-    <nuclide name="B-11"  wo="5.27075e-4" />
-    <nuclide name="Fe-54" wo="0.02644016154" />
-    <nuclide name="Fe-56" wo="0.43037146399" />
-    <nuclide name="Fe-57" wo="0.0101152584" />
-    <nuclide name="Fe-58" wo="0.00137211607" />
-    <nuclide name="Ni-58" wo="0.04104621835" />
-    <nuclide name="Ni-60" wo="0.0163554502" />
-    <nuclide name="Ni-61" wo="0.000722605975" />
-    <nuclide name="Ni-62" wo="0.002342513875" />
-    <nuclide name="Ni-64" wo="0.0006157116" />
-    <nuclide name="Mn-55" wo="0.0135739" />
-    <nuclide name="Si-28" wo="0.006234853554" />
-    <nuclide name="Si-29" wo="0.000328078746" />
-    <nuclide name="Si-30" wo="0.0002239677" />
-    <nuclide name="Cr-50" wo="0.005382452306" />
-    <nuclide name="Cr-52" wo="0.107931450781" />
-    <nuclide name="Cr-53" wo="0.012474806806" />
-    <nuclide name="Cr-54" wo="0.003163190107" />
-    <sab name="HH2O" xs="71t" />
-  </material>
-
-  <!-- Top of Fuel Assemblies -->
-  <material id="11">
-    <density value="3.044" units="g/cm3" />
-    <nuclide name="H-1"   wo="0.0162913" />
-    <nuclide name="O-16"  wo="0.1292776" />
-    <nuclide name="B-10"  wo="5.25228e-5" />
-    <nuclide name="B-11"  wo="2.39272e-4" />
-    <nuclide name="Zr-90" wo="0.43313403903" />
-    <nuclide name="Zr-91" wo="0.09549277374" />
-    <nuclide name="Zr-92" wo="0.14759527104" />
-    <nuclide name="Zr-94" wo="0.15280552077" />
-    <nuclide name="Zr-96" wo="0.02511169542" />
-    <sab name="HH2O" xs="71t" />
-  </material>
-
-  <!-- Bottom of Fuel Assemblies -->
-  <material id="12">
-    <density value="1.762" units="g/cm3" />
-    <nuclide name="H-1"   wo="0.0292856" />
-    <nuclide name="O-16"  wo="0.2323919" />
-    <nuclide name="B-10"  wo="9.44159e-5" />
-    <nuclide name="B-11"  wo="4.30120e-4" />
-    <nuclide name="Zr-90" wo="0.3741373658" />
-    <nuclide name="Zr-91" wo="0.0824858164" />
-    <nuclide name="Zr-92" wo="0.1274914944" />
-    <nuclide name="Zr-94" wo="0.1319920622" />
-    <nuclide name="Zr-96" wo="0.0216912612" />
-    <sab name="HH2O" xs="71t" />
-  </material>
-
-</materials>
diff --git a/tests/test_many_scores/results_true.dat b/tests/test_many_scores/results_true.dat
deleted file mode 100644
index 0d5dd6e32e..0000000000
--- a/tests/test_many_scores/results_true.dat
+++ /dev/null
@@ -1,113 +0,0 @@
-k-combined:
-0.000000E+00 0.000000E+00
-tally 1:
-2.247257E+01
-1.683779E+02
-1.014000E+01
-3.427342E+01
-8.628000E+00
-2.481430E+01
-8.632000E+00
-2.483728E+01
-5.102293E-01
-8.710841E-02
-8.628000E+00
-2.481430E+01
-9.329009E-01
-2.902534E-01
-5.102293E-01
-8.710841E-02
-5.087118E-01
-8.657086E-02
-8.632000E+00
-2.483728E+01
-9.328366E-01
-2.902108E-01
-5.087118E-01
-8.657086E-02
-9.212024E+00
-2.829472E+01
-8.628000E+00
-2.481430E+01
-1.512000E+00
-7.620560E-01
-1.816851E+00
-1.102658E+00
-1.337996E+02
-5.985519E+03
-2.247257E+01
-1.683779E+02
-1.512960E-01
-2.623972E-02
--3.775020E-01
-1.055377E-01
-1.916133E-01
-4.680798E-02
-2.754367E-02
-3.320008E-04
-2.028374E-02
-1.319357E-02
-8.974271E-03
-1.681081E-03
-1.658978E-01
-1.520448E-02
-2.878360E-01
-5.645480E-02
-1.014000E+01
-3.427342E+01
-4.798897E-02
-1.551226E-03
--1.818770E-01
-1.492633E-02
-6.340651E-02
-9.011305E-03
-3.395308E-02
-4.612818E-04
-2.640250E-02
-6.434787E-04
--8.242639E-03
-9.516540E-04
-8.378601E-02
-2.645988E-03
-9.567484E-02
-7.262477E-03
-8.628000E+00
-2.481430E+01
-4.712248E-02
-1.140942E-03
--6.431930E-02
-4.290580E-03
-9.251642E-02
-8.134201E-03
-1.020119E-04
-1.154184E-04
-2.994164E-02
-3.079076E-04
-2.128844E-02
-2.046549E-04
--1.637972E-02
-1.459209E-04
-4.629047E-02
-7.823267E-04
-8.632000E+00
-2.483728E+01
-4.651997E-02
-1.133839E-03
--6.416955E-02
-4.279418E-03
-9.280565E-02
-8.095106E-03
--2.078094E-04
-1.151292E-04
-3.005568E-02
-3.104764E-04
-2.199519E-02
-2.179172E-04
--1.660645E-02
-1.451345E-04
-4.607553E-02
-7.673412E-04
-1.014000E+01
-3.427342E+01
-7.652723E-03
-3.578992E-05
diff --git a/tests/test_many_scores/settings.xml b/tests/test_many_scores/settings.xml
deleted file mode 100644
index 08dc0d2e12..0000000000
--- a/tests/test_many_scores/settings.xml
+++ /dev/null
@@ -1,19 +0,0 @@
-<?xml version="1.0"?>
-<settings>
-
-  <eigenvalue>
-    <batches>5</batches>
-    <inactive>2</inactive>
-    <particles>500</particles>
-  </eigenvalue>
-
-  <source>
-    <space type="box">
-      <parameters>
-        -160 -160 -183
-         160  160  183
-      </parameters>
-    </space>
-  </source>
-
-</settings>
diff --git a/tests/test_many_scores/tallies.xml b/tests/test_many_scores/tallies.xml
deleted file mode 100644
index 2df5597d04..0000000000
--- a/tests/test_many_scores/tallies.xml
+++ /dev/null
@@ -1,13 +0,0 @@
-<?xml version="1.0"?>
-<tallies>
-
-  <tally id="1">
-    <filter type="cell" bins="21" />
-    <scores>
-      flux total scatter nu-scatter scatter-2 scatter-p2 nu-scatter-2
-      nu-scatter-p2 transport n1n absorption nu-fission kappa-fission
-      flux-y2 total-y2 scatter-y2 nu-scatter-y2 events delayed-nu-fission
-    </scores>
-  </tally>
-
-</tallies>
diff --git a/tests/test_many_scores/test_many_scores.py b/tests/test_many_scores/test_many_scores.py
deleted file mode 100644
index 88c3bdfb3d..0000000000
--- a/tests/test_many_scores/test_many_scores.py
+++ /dev/null
@@ -1,11 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness
-
-
-if __name__ == '__main__':
-    harness = TestHarness('statepoint.5.*', True)
-    harness.main()
diff --git a/tests/test_mg_basic/inputs_true.dat b/tests/test_mg_basic/inputs_true.dat
new file mode 100644
index 0000000000..3f83de7600
--- /dev/null
+++ b/tests/test_mg_basic/inputs_true.dat
@@ -0,0 +1 @@
+2fdba76bad058eec6e43657692ef759de79c934076067d4ec5c9f2bdb131877e001f67e16b16bb14889e5e0a1ba84c780979b9d6772573aa6f82d979774c2af8
\ No newline at end of file
diff --git a/tests/test_mg_basic/results_true.dat b/tests/test_mg_basic/results_true.dat
new file mode 100644
index 0000000000..7cdda73b5d
--- /dev/null
+++ b/tests/test_mg_basic/results_true.dat
@@ -0,0 +1,2 @@
+k-combined:
+1.047136E+00 2.765964E-02
diff --git a/tests/test_mg_basic/test_mg_basic.py b/tests/test_mg_basic/test_mg_basic.py
new file mode 100644
index 0000000000..1a49ee8a82
--- /dev/null
+++ b/tests/test_mg_basic/test_mg_basic.py
@@ -0,0 +1,17 @@
+#!/usr/bin/env python
+
+import os
+import sys
+sys.path.insert(0, os.pardir)
+from testing_harness import TestHarness, PyAPITestHarness
+import openmc
+
+
+class MGBasicTestHarness(PyAPITestHarness):
+    def _build_inputs(self):
+        super(MGBasicTestHarness, self)._build_inputs()
+
+
+if __name__ == '__main__':
+    harness = MGBasicTestHarness('statepoint.10.*', False, mg=True)
+    harness.main()
diff --git a/tests/test_mg_max_order/inputs_true.dat b/tests/test_mg_max_order/inputs_true.dat
new file mode 100644
index 0000000000..63bdaab03e
--- /dev/null
+++ b/tests/test_mg_max_order/inputs_true.dat
@@ -0,0 +1 @@
+60a35864ad71646309d7f1687ba0826d4d53a5b2e8babf73614362645205484bad3c0e7bf605ec0b11cadf58474b2e3d0a97bf2d9297f9118682c37ff0269afd
\ No newline at end of file
diff --git a/tests/test_mg_max_order/results_true.dat b/tests/test_mg_max_order/results_true.dat
new file mode 100644
index 0000000000..4db04e0897
--- /dev/null
+++ b/tests/test_mg_max_order/results_true.dat
@@ -0,0 +1,2 @@
+k-combined:
+1.102093E+00 4.962190E-02
diff --git a/tests/test_mg_max_order/test_mg_max_order.py b/tests/test_mg_max_order/test_mg_max_order.py
new file mode 100644
index 0000000000..088f6914ba
--- /dev/null
+++ b/tests/test_mg_max_order/test_mg_max_order.py
@@ -0,0 +1,86 @@
+#!/usr/bin/env python
+
+import os
+import sys
+sys.path.insert(0, os.pardir)
+from testing_harness import TestHarness, PyAPITestHarness
+from input_set import MGInputSet
+import openmc
+
+class MGNuclideInputSet(MGInputSet):
+    def build_default_materials_and_geometry(self):
+        # Define materials needed for 1D/1G slab problem
+        uo2_data = openmc.Macroscopic('uo2_iso', '71c')
+        uo2 = openmc.Material(name='UO2', material_id=1)
+        uo2.set_density('macro', 1.0)
+        uo2.add_macroscopic(uo2_data)
+
+        clad_data = openmc.Macroscopic('clad_iso', '71c')
+        clad = openmc.Material(name='Clad', material_id=2)
+        clad.set_density('macro', 1.0)
+        clad.add_macroscopic(clad_data)
+
+        water_data = openmc.Macroscopic('lwtr_iso', '71c')
+        water = openmc.Material(name='LWTR', material_id=3)
+        water.set_density('macro', 1.0)
+        water.add_macroscopic(water_data)
+
+        # Define the materials file.
+        self.materials.default_xs = '71c'
+        self.materials += (uo2, clad, water)
+
+        # Define surfaces.
+
+        # Assembly/Problem Boundary
+        left   = openmc.XPlane(x0=0.0, surface_id=200,
+                               boundary_type='reflective')
+        right  = openmc.XPlane(x0=10.0, surface_id=201,
+                               boundary_type='reflective')
+        bottom = openmc.YPlane(y0=0.0, surface_id=300,
+                               boundary_type='reflective')
+        top    = openmc.YPlane(y0=10.0, surface_id=301,
+                               boundary_type='reflective')
+
+        down   = openmc.ZPlane(z0=0.0, surface_id=0,
+                               boundary_type='reflective')
+        fuel_clad_intfc = openmc.ZPlane(z0=2.0, surface_id=1)
+        clad_lwtr_intfc = openmc.ZPlane(z0=2.4, surface_id=2)
+        up     = openmc.ZPlane(z0=5.0, surface_id=3,
+                               boundary_type='reflective')
+
+        # Define cells
+        c1 = openmc.Cell(cell_id=1)
+        c1.region = +left & -right & +bottom & -top & +down & -fuel_clad_intfc
+        c1.fill = uo2
+        c2 = openmc.Cell(cell_id=2)
+        c2.region = +left & -right & +bottom & -top & +fuel_clad_intfc & -clad_lwtr_intfc
+        c2.fill = clad
+        c3 = openmc.Cell(cell_id=3)
+        c3.region = +left & -right & +bottom & -top & +clad_lwtr_intfc & -up
+        c3.fill = water
+
+        # Define root universe.
+        root = openmc.Universe(universe_id=0, name='root universe')
+
+        root.add_cells((c1,c2,c3))
+
+        # Define the geometry file.
+        geometry = openmc.Geometry()
+        geometry.root_universe = root
+
+        self.geometry = geometry
+
+class MGMaxOrderTestHarness(PyAPITestHarness):
+    def __init__(self, statepoint_name, tallies_present, mg=False):
+        PyAPITestHarness.__init__(self, statepoint_name, tallies_present)
+        self._input_set = MGNuclideInputSet()
+
+    def _build_inputs(self):
+        # Set P1 scattering
+        self._input_set.settings.max_order = 1
+        # Call standard input build
+        super(MGMaxOrderTestHarness, self)._build_inputs()
+
+if __name__ == '__main__':
+    harness = MGMaxOrderTestHarness('statepoint.10.*', False, mg=True)
+    harness.main()
diff --git a/tests/test_mg_nuclide/inputs_true.dat b/tests/test_mg_nuclide/inputs_true.dat
new file mode 100644
index 0000000000..e0af3352b2
--- /dev/null
+++ b/tests/test_mg_nuclide/inputs_true.dat
@@ -0,0 +1 @@
+0efba3dd7882fdd38756d0a8f01ff00d7a1abdaab6430b3f090f3339e552448453bbb733852b6bd6ff09608d923c282f168320f942fc2eb3a45610873c588734
\ No newline at end of file
diff --git a/tests/test_mg_nuclide/results_true.dat b/tests/test_mg_nuclide/results_true.dat
new file mode 100644
index 0000000000..7cdda73b5d
--- /dev/null
+++ b/tests/test_mg_nuclide/results_true.dat
@@ -0,0 +1,2 @@
+k-combined:
+1.047136E+00 2.765964E-02
diff --git a/tests/test_mg_nuclide/test_mg_nuclide.py b/tests/test_mg_nuclide/test_mg_nuclide.py
new file mode 100644
index 0000000000..89694eea25
--- /dev/null
+++ b/tests/test_mg_nuclide/test_mg_nuclide.py
@@ -0,0 +1,84 @@
+#!/usr/bin/env python
+
+import os
+import sys
+sys.path.insert(0, os.pardir)
+from testing_harness import TestHarness, PyAPITestHarness
+from input_set import MGInputSet
+import openmc
+
+class MGNuclideInputSet(MGInputSet):
+    def build_default_materials_and_geometry(self):
+        # Define materials needed for 1D/1G slab problem
+        # This time do using nuclide, not macroscopic
+        uo2 = openmc.Material(name='UO2', material_id=1)
+        uo2.set_density('sum', 1.0)
+        uo2.add_nuclide("uo2_iso", 1.0)
+
+        clad = openmc.Material(name='Clad', material_id=2)
+        clad.set_density('sum', 1.0)
+        clad.add_nuclide("clad_ang_mu", 1.0)
+
+        # water_data = openmc.Nuclide('lwtr_iso_mu', '71c')
+        water = openmc.Material(name='LWTR', material_id=3)
+        water.set_density('sum', 1.0)
+        water.add_nuclide("lwtr_iso_mu", 1.0)
+
+        # Define the materials file.
+        self.materials.default_xs = '71c'
+        self.materials += (uo2, clad, water)
+
+        # Define surfaces.
+
+        # Assembly/Problem Boundary
+        left   = openmc.XPlane(x0=0.0, surface_id=200,
+                               boundary_type='reflective')
+        right  = openmc.XPlane(x0=10.0, surface_id=201,
+                               boundary_type='reflective')
+        bottom = openmc.YPlane(y0=0.0, surface_id=300,
+                               boundary_type='reflective')
+        top    = openmc.YPlane(y0=10.0, surface_id=301,
+                               boundary_type='reflective')
+
+        down   = openmc.ZPlane(z0=0.0, surface_id=0,
+                               boundary_type='reflective')
+        fuel_clad_intfc = openmc.ZPlane(z0=2.0, surface_id=1)
+        clad_lwtr_intfc = openmc.ZPlane(z0=2.4, surface_id=2)
+        up     = openmc.ZPlane(z0=5.0, surface_id=3,
+                               boundary_type='reflective')
+
+        # Define cells
+        c1 = openmc.Cell(cell_id=1)
+        c1.region = +left & -right & +bottom & -top & +down & -fuel_clad_intfc
+        c1.fill = uo2
+        c2 = openmc.Cell(cell_id=2)
+        c2.region = +left & -right & +bottom & -top & +fuel_clad_intfc & -clad_lwtr_intfc
+        c2.fill = clad
+        c3 = openmc.Cell(cell_id=3)
+        c3.region = +left & -right & +bottom & -top & +clad_lwtr_intfc & -up
+        c3.fill = water
+
+        # Define root universe.
+        root = openmc.Universe(universe_id=0, name='root universe')
+
+        root.add_cells((c1,c2,c3))
+
+        # Define the geometry file.
+        geometry = openmc.Geometry()
+        geometry.root_universe = root
+
+        self.geometry = geometry
+
+class MGNuclideTestHarness(PyAPITestHarness):
+    def __init__(self, statepoint_name, tallies_present, mg=False):
+        PyAPITestHarness.__init__(self, statepoint_name, tallies_present)
+        self._input_set = MGNuclideInputSet()
+
+    def _build_inputs(self):
+        super(MGNuclideTestHarness, self)._build_inputs()
+
+
+
+if __name__ == '__main__':
+    harness = MGNuclideTestHarness('statepoint.10.*', False, mg=True)
+    harness.main()
diff --git a/tests/test_mg_tallies/inputs_true.dat b/tests/test_mg_tallies/inputs_true.dat
new file mode 100644
index 0000000000..41bbd2136e
--- /dev/null
+++ b/tests/test_mg_tallies/inputs_true.dat
@@ -0,0 +1 @@
+6c437c3f9281c52a80a9b166971aa0f5db7ff8b6cf65c79b6d7bf294fad30cc7044f6a665cd9059f8580441bcbb581f7152ff5bccbc21fbcc407847ea6fe3306
\ No newline at end of file
diff --git a/tests/test_mg_tallies/results_true.dat b/tests/test_mg_tallies/results_true.dat
new file mode 100644
index 0000000000..4a654639af
--- /dev/null
+++ b/tests/test_mg_tallies/results_true.dat
@@ -0,0 +1,2906 @@
+k-combined:
+1.047136E+00 2.765964E-02
+tally 1:
+2.490837E+00
+1.335515E+00
+8.299408E-02
+1.628477E-03
+3.917892E+00
+3.395475E+00
+3.777816E-02
+3.574150E-04
+9.366009E-02
+2.196850E-03
+2.410307E+00
+1.211320E+00
+7.104710E-02
+1.056830E-03
+3.619111E+00
+2.712466E+00
+3.046789E-02
+2.019483E-04
+7.553639E-02
+1.241275E-03
+2.616860E+00
+1.407243E+00
+7.221083E-02
+1.059301E-03
+3.719840E+00
+2.827103E+00
+2.963219E-02
+1.775955E-04
+7.346451E-02
+1.091590E-03
+2.383417E+00
+1.171863E+00
+6.968054E-02
+9.924374E-04
+3.486989E+00
+2.493855E+00
+2.962148E-02
+1.817051E-04
+7.343795E-02
+1.116850E-03
+2.177844E+00
+9.998272E-01
+6.808817E-02
+9.543925E-04
+3.302614E+00
+2.268097E+00
+3.001326E-02
+1.847730E-04
+7.440926E-02
+1.135706E-03
+2.585363E+00
+1.416531E+00
+7.208386E-02
+1.068367E-03
+3.721777E+00
+2.868016E+00
+2.981132E-02
+1.871051E-04
+7.390860E-02
+1.150041E-03
+2.740199E+00
+1.663131E+00
+8.719535E-02
+1.596752E-03
+4.146740E+00
+3.682203E+00
+3.870935E-02
+3.136109E-04
+9.596871E-02
+1.927608E-03
+2.212799E+00
+1.000035E+00
+7.449165E-02
+1.135538E-03
+3.466616E+00
+2.419923E+00
+3.399202E-02
+2.463541E-04
+8.427346E-02
+1.514215E-03
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
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+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+tally 2:
+3.995283E+01
+3.210141E+02
+3.996387E+01
+3.211916E+02
+6.783537E+00
+9.416330E+00
+6.783789E+00
+9.417032E+00
+1.239468E+02
+3.134204E+03
+1.239468E+02
+3.134204E+03
diff --git a/tests/test_mg_tallies/test_mg_tallies.py b/tests/test_mg_tallies/test_mg_tallies.py
new file mode 100644
index 0000000000..3048f4a39a
--- /dev/null
+++ b/tests/test_mg_tallies/test_mg_tallies.py
@@ -0,0 +1,50 @@
+#!/usr/bin/env python
+
+import os
+import sys
+sys.path.insert(0, os.pardir)
+from testing_harness import TestHarness, PyAPITestHarness
+import openmc
+
+
+class MGTalliesTestHarness(PyAPITestHarness):
+    def _build_inputs(self):
+        # Instantiate a tally mesh
+        mesh = openmc.Mesh(mesh_id=1)
+        mesh.type = 'regular'
+        mesh.dimension = [17, 17, 1]
+        mesh.lower_left = [0.0, 0.0, 0.0]
+        mesh.upper_right = [21.42, 21.42, 100.0]
+
+        # Instantiate some tally filters
+        energy_filter = openmc.Filter(type='energy',
+                                      bins=[0.0, 20.0])
+        energyout_filter = openmc.Filter(type='energyout',
+                                         bins=[0.0, 20.0])
+        mesh_filter = openmc.Filter()
+        mesh_filter.mesh = mesh
+
+        mat_filter = openmc.Filter(type='material', bins=[1,2,3])
+
+        tally1 = openmc.Tally(tally_id=1)
+        tally1.filters = [mesh_filter]
+        tally1.scores = ['total', 'absorption', 'flux',
+                         'fission', 'nu-fission']
+
+        tally2 = openmc.Tally(tally_id=2)
+        tally2.filters = [mat_filter, energy_filter, energyout_filter]
+        tally2.scores = ['scatter', 'nu-scatter']
+
+        self._input_set.tallies = openmc.Tallies([tally1, tally2])
+
+        super(MGTalliesTestHarness, self)._build_inputs()
+
+    def _cleanup(self):
+        super(MGTalliesTestHarness, self)._cleanup()
+        f = os.path.join(os.getcwd(), 'tallies.xml')
+        if os.path.exists(f): os.remove(f)
+
+
+if __name__ == '__main__':
+    harness = MGTalliesTestHarness('statepoint.10.*', True, mg=True)
+    harness.main()
diff --git a/tests/test_mgxs_library_ce_to_mg/inputs_true.dat b/tests/test_mgxs_library_ce_to_mg/inputs_true.dat
new file mode 100644
index 0000000000..9633a46a80
--- /dev/null
+++ b/tests/test_mgxs_library_ce_to_mg/inputs_true.dat
@@ -0,0 +1 @@
+34d5891f6f17c2d4b686b814ba61ba0045bc4289e278b1c3c47dbba59b83837fcfe15f2b8d58e7a2b07627b73d51e40348d70e9ed36dbb7cc94468d61c068c4c
\ No newline at end of file
diff --git a/tests/test_mgxs_library_ce_to_mg/results_true.dat b/tests/test_mgxs_library_ce_to_mg/results_true.dat
new file mode 100644
index 0000000000..6710c82be1
--- /dev/null
+++ b/tests/test_mgxs_library_ce_to_mg/results_true.dat
@@ -0,0 +1,2 @@
+k-combined:
+1.140804E+00 2.937150E-02
diff --git a/tests/test_mgxs_library_ce_to_mg/test_mgxs_library_ce_to_mg.py b/tests/test_mgxs_library_ce_to_mg/test_mgxs_library_ce_to_mg.py
new file mode 100644
index 0000000000..0f7cba4a87
--- /dev/null
+++ b/tests/test_mgxs_library_ce_to_mg/test_mgxs_library_ce_to_mg.py
@@ -0,0 +1,94 @@
+#!/usr/bin/env python
+
+import os
+import sys
+import glob
+import hashlib
+sys.path.insert(0, os.pardir)
+from testing_harness import PyAPITestHarness
+from input_set import PinCellInputSet
+import openmc
+import openmc.mgxs
+
+
+class MGXSTestHarness(PyAPITestHarness):
+    def _build_inputs(self):
+        # Set the input set to use the pincell model
+        self._input_set = PinCellInputSet()
+
+        # Generate inputs using parent class routine
+        super(MGXSTestHarness, self)._build_inputs()
+
+        # Initialize a two-group structure
+        energy_groups = openmc.mgxs.EnergyGroups(group_edges=[0, 0.625e-6,
+                                                              20.])
+
+        # Initialize MGXS Library for a few cross section types
+        self.mgxs_lib = openmc.mgxs.Library(self._input_set.geometry)
+        self.mgxs_lib.by_nuclide = False
+        self.mgxs_lib.mgxs_types = ['total', 'absorption', 'nu-fission matrix',
+                                    'nu-scatter matrix', 'multiplicity matrix']
+        self.mgxs_lib.energy_groups = energy_groups
+        self.mgxs_lib.correction = None
+        self.mgxs_lib.legendre_order = 3
+        self.mgxs_lib.domain_type = 'material'
+        self.mgxs_lib.build_library()
+
+        # Initialize a tallies file
+        self._input_set.tallies = openmc.Tallies()
+        self.mgxs_lib.add_to_tallies_file(self._input_set.tallies, merge=False)
+        self._input_set.tallies.export_to_xml()
+
+    def _run_openmc(self):
+        # Initial run
+        if self._opts.mpi_exec is not None:
+            returncode = openmc.run(mpi_procs=self._opts.mpi_np,
+                                    openmc_exec=self._opts.exe,
+                                    mpi_exec=self._opts.mpi_exec)
+
+        else:
+            returncode = openmc.run(openmc_exec=self._opts.exe)
+
+        assert returncode == 0, 'CE OpenMC calculation did not exit' \
+                                'successfully.'
+
+        # Build MG Inputs
+        # Get data needed to execute Library calculations.
+        statepoint = glob.glob(os.path.join(os.getcwd(), self._sp_name))[0]
+        sp = openmc.StatePoint(statepoint)
+        self.mgxs_lib.load_from_statepoint(sp)
+        self._input_set.mgxs_file, self._input_set.materials, \
+            self._input_set.geometry = self.mgxs_lib.create_mg_mode()
+
+        # Modify settings so we can run in MG mode
+        self._input_set.settings.cross_sections = './mgxs.xml'
+        self._input_set.settings.energy_mode = 'multi-group'
+
+        # Write modified input files
+        self._input_set.settings.export_to_xml()
+        self._input_set.geometry.export_to_xml()
+        self._input_set.materials.export_to_xml()
+        self._input_set.mgxs_file.export_to_xml()
+        # Dont need tallies.xml, so remove the file
+        if os.path.exists('./tallies.xml'):
+            os.remove('./tallies.xml')
+
+        # Re-run MG mode.
+        if self._opts.mpi_exec is not None:
+            returncode = openmc.run(mpi_procs=self._opts.mpi_np,
+                                    openmc_exec=self._opts.exe,
+                                    mpi_exec=self._opts.mpi_exec)
+
+        else:
+            returncode = openmc.run(openmc_exec=self._opts.exe)
+
+    def _cleanup(self):
+        super(MGXSTestHarness, self)._cleanup()
+        f = os.path.join(os.getcwd(), 'mgxs.xml')
+        if os.path.exists(f):
+            os.remove(f)
+
+
+if __name__ == '__main__':
+    harness = MGXSTestHarness('statepoint.10.*', False)
+    harness.main()
diff --git a/tests/test_mgxs_library_condense/inputs_true.dat b/tests/test_mgxs_library_condense/inputs_true.dat
index 37397c5947..79ca0ec660 100644
--- a/tests/test_mgxs_library_condense/inputs_true.dat
+++ b/tests/test_mgxs_library_condense/inputs_true.dat
@@ -1 +1 @@
-35f99f1973b3bf3efcec6c2dddf56d6679a15dab8582ab5336e86e4fdf90967ce91036e5c30c345decb994ab9133a906b82dc8fad0cdd3398a612d9aa05c1c77
\ No newline at end of file
+317a63a9dd3bfd84e969667b00f46018e56c04c356461a75103f63569e6b70c84d0da7f5e611faaf1b2631330b05ab4346223d3d843018ce0ce8876671a450c0
\ No newline at end of file
diff --git a/tests/test_mgxs_library_condense/results_true.dat b/tests/test_mgxs_library_condense/results_true.dat
index 45891fc300..13c277b15f 100644
--- a/tests/test_mgxs_library_condense/results_true.dat
+++ b/tests/test_mgxs_library_condense/results_true.dat
@@ -1,49 +1,108 @@
    material  group in nuclide      mean  std. dev.
-0         1         1   total  0.419289    0.01638   material  group in nuclide     mean  std. dev.
-0         1         1   total  0.07774   0.003273   material  group in  group out nuclide      mean  std. dev.
-0         1         1          1   total  0.352665   0.015654   material  group out nuclide  mean  std. dev.
-0         1          1   total     1   0.119622   material  group in nuclide      mean  std. dev.
-0         2         1   total  0.247316   0.009562   material  group in nuclide  mean  std. dev.
-0         2         1   total     0          0   material  group in  group out nuclide      mean  std. dev.
-0         2         1          1   total  0.244838   0.009996   material  group out nuclide  mean  std. dev.
-0         2          1   total     0          0   material  group in nuclide      mean  std. dev.
-0         3         1   total  0.409938   0.042262   material  group in nuclide  mean  std. dev.
-0         3         1   total     0          0   material  group in  group out nuclide      mean  std. dev.
-0         3         1          1   total  0.403354   0.041386   material  group out nuclide  mean  std. dev.
-0         3          1   total     0          0   material  group in nuclide      mean  std. dev.
-0         4         1   total  0.344007    0.05352   material  group in nuclide  mean  std. dev.
-0         4         1   total     0          0   material  group in  group out nuclide      mean  std. dev.
-0         4         1          1   total  0.340438   0.052067   material  group out nuclide  mean  std. dev.
-0         4          1   total     0          0   material  group in nuclide  mean  std. dev.
-0         5         1   total     0          0   material  group in nuclide  mean  std. dev.
-0         5         1   total     0          0   material  group in  group out nuclide  mean  std. dev.
-0         5         1          1   total     0          0   material  group out nuclide  mean  std. dev.
-0         5          1   total     0          0   material  group in nuclide  mean  std. dev.
-0         6         1   total     0          0   material  group in nuclide  mean  std. dev.
-0         6         1   total     0          0   material  group in  group out nuclide  mean  std. dev.
-0         6         1          1   total     0          0   material  group out nuclide  mean  std. dev.
-0         6          1   total     0          0   material  group in nuclide  mean  std. dev.
-0         7         1   total     0          0   material  group in nuclide  mean  std. dev.
-0         7         1   total     0          0   material  group in  group out nuclide  mean  std. dev.
-0         7         1          1   total     0          0   material  group out nuclide  mean  std. dev.
-0         7          1   total     0          0   material  group in nuclide  mean  std. dev.
-0         8         1   total     0          0   material  group in nuclide  mean  std. dev.
-0         8         1   total     0          0   material  group in  group out nuclide  mean  std. dev.
-0         8         1          1   total     0          0   material  group out nuclide  mean  std. dev.
-0         8          1   total     0          0   material  group in nuclide      mean  std. dev.
-0         9         1   total  0.751873   0.559701   material  group in nuclide  mean  std. dev.
-0         9         1   total     0          0   material  group in  group out nuclide      mean  std. dev.
-0         9         1          1   total  0.695491    0.50757   material  group out nuclide  mean  std. dev.
-0         9          1   total     0          0   material  group in nuclide  mean  std. dev.
-0        10         1   total     0          0   material  group in nuclide  mean  std. dev.
-0        10         1   total     0          0   material  group in  group out nuclide  mean  std. dev.
-0        10         1          1   total     0          0   material  group out nuclide  mean  std. dev.
-0        10          1   total     0          0   material  group in nuclide      mean  std. dev.
-0        11         1   total  0.457329   0.403578   material  group in nuclide  mean  std. dev.
-0        11         1   total     0          0   material  group in  group out nuclide      mean  std. dev.
-0        11         1          1   total  0.446737   0.392775   material  group out nuclide  mean  std. dev.
-0        11          1   total     0          0   material  group in nuclide      mean  std. dev.
-0        12         1   total  0.574978    0.38864   material  group in nuclide  mean  std. dev.
-0        12         1   total     0          0   material  group in  group out nuclide      mean  std. dev.
-0        12         1          1   total  0.559478   0.377512   material  group out nuclide  mean  std. dev.
-0        12          1   total     0          0
\ No newline at end of file
+0     10000         1   total  0.453624   0.021053
+   material  group in nuclide      mean  std. dev.
+0     10000         1   total  0.400852   0.022858
+   material  group in nuclide      mean  std. dev.
+0     10000         1   total  0.400852   0.022858
+   material  group in nuclide      mean  std. dev.
+0     10000         1   total  0.064903   0.004313
+   material  group in nuclide      mean  std. dev.
+0     10000         1   total  0.028048    0.00458
+   material  group in nuclide      mean  std. dev.
+0     10000         1   total  0.036855   0.002622
+   material  group in nuclide      mean  std. dev.
+0     10000         1   total  0.090649    0.00641
+   material  group in nuclide      mean  std. dev.
+0     10000         1   total  7.137955   0.507364
+   material  group in nuclide      mean  std. dev.
+0     10000         1   total  0.388721    0.01783
+   material  group in nuclide      mean  std. dev.
+0     10000         1   total  0.389304   0.023076
+   material  group in  group out nuclide moment      mean  std. dev.
+0     10000         1          1   total     P0  0.389304   0.023146
+1     10000         1          1   total     P1  0.046224   0.005907
+2     10000         1          1   total     P2  0.017984   0.002883
+3     10000         1          1   total     P3  0.006628   0.002457
+   material  group in  group out nuclide moment      mean  std. dev.
+0     10000         1          1   total     P0  0.389304   0.023146
+1     10000         1          1   total     P1  0.046224   0.005907
+2     10000         1          1   total     P2  0.017984   0.002883
+3     10000         1          1   total     P3  0.006628   0.002457
+   material  group in  group out nuclide  mean  std. dev.
+0     10000         1          1   total   1.0   0.066111
+   material  group in  group out nuclide      mean  std. dev.
+0     10000         1          1   total  0.085835   0.005592
+   material  group out nuclide  mean  std. dev.
+0     10000          1   total   1.0   0.046071
+   material  group in nuclide      mean  std. dev.
+0     10001         1   total  0.311594   0.013793
+   material  group in nuclide      mean  std. dev.
+0     10001         1   total  0.279255    0.02919
+   material  group in nuclide      mean  std. dev.
+0     10001         1   total  0.279255    0.02919
+   material  group in nuclide     mean  std. dev.
+0     10001         1   total  0.00221   0.000286
+   material  group in nuclide     mean  std. dev.
+0     10001         1   total  0.00221   0.000286
+   material  group in nuclide  mean  std. dev.
+0     10001         1   total   0.0        0.0
+   material  group in nuclide  mean  std. dev.
+0     10001         1   total   0.0        0.0
+   material  group in nuclide  mean  std. dev.
+0     10001         1   total   0.0        0.0
+   material  group in nuclide      mean  std. dev.
+0     10001         1   total  0.309384   0.013551
+   material  group in nuclide      mean  std. dev.
+0     10001         1   total  0.307987   0.029308
+   material  group in  group out nuclide moment      mean  std. dev.
+0     10001         1          1   total     P0  0.307987   0.029308
+1     10001         1          1   total     P1  0.030617   0.007464
+2     10001         1          1   total     P2  0.018911   0.004323
+3     10001         1          1   total     P3  0.006235   0.003338
+   material  group in  group out nuclide moment      mean  std. dev.
+0     10001         1          1   total     P0  0.307987   0.029308
+1     10001         1          1   total     P1  0.030617   0.007464
+2     10001         1          1   total     P2  0.018911   0.004323
+3     10001         1          1   total     P3  0.006235   0.003338
+   material  group in  group out nuclide  mean  std. dev.
+0     10001         1          1   total   1.0   0.095039
+   material  group in  group out nuclide  mean  std. dev.
+0     10001         1          1   total   0.0        0.0
+   material  group out nuclide  mean  std. dev.
+0     10001          1   total   0.0        0.0
+   material  group in nuclide      mean  std. dev.
+0     10002         1   total  0.904999   0.043964
+   material  group in nuclide      mean  std. dev.
+0     10002         1   total  0.499184   0.040914
+   material  group in nuclide      mean  std. dev.
+0     10002         1   total  0.499184   0.040914
+   material  group in nuclide     mean  std. dev.
+0     10002         1   total  0.00606   0.000555
+   material  group in nuclide     mean  std. dev.
+0     10002         1   total  0.00606   0.000555
+   material  group in nuclide  mean  std. dev.
+0     10002         1   total   0.0        0.0
+   material  group in nuclide  mean  std. dev.
+0     10002         1   total   0.0        0.0
+   material  group in nuclide  mean  std. dev.
+0     10002         1   total   0.0        0.0
+   material  group in nuclide      mean  std. dev.
+0     10002         1   total  0.898938   0.043493
+   material  group in nuclide      mean  std. dev.
+0     10002         1   total  0.903415   0.043959
+   material  group in  group out nuclide moment      mean  std. dev.
+0     10002         1          1   total     P0  0.903415   0.043586
+1     10002         1          1   total     P1  0.410417   0.015877
+2     10002         1          1   total     P2  0.143301   0.007187
+3     10002         1          1   total     P3  0.008739   0.003571
+   material  group in  group out nuclide moment      mean  std. dev.
+0     10002         1          1   total     P0  0.903415   0.043586
+1     10002         1          1   total     P1  0.410417   0.015877
+2     10002         1          1   total     P2  0.143301   0.007187
+3     10002         1          1   total     P3  0.008739   0.003571
+   material  group in  group out nuclide  mean  std. dev.
+0     10002         1          1   total   1.0   0.056867
+   material  group in  group out nuclide  mean  std. dev.
+0     10002         1          1   total   0.0        0.0
+   material  group out nuclide  mean  std. dev.
+0     10002          1   total   0.0        0.0
diff --git a/tests/test_mgxs_library_condense/test_mgxs_library_condense.py b/tests/test_mgxs_library_condense/test_mgxs_library_condense.py
index 4c84de2bf6..5571b59f2e 100644
--- a/tests/test_mgxs_library_condense/test_mgxs_library_condense.py
+++ b/tests/test_mgxs_library_condense/test_mgxs_library_condense.py
@@ -6,33 +6,35 @@ import glob
 import hashlib
 sys.path.insert(0, os.pardir)
 from testing_harness import PyAPITestHarness
+from input_set import PinCellInputSet
 import openmc
 import openmc.mgxs
 
 
 class MGXSTestHarness(PyAPITestHarness):
     def _build_inputs(self):
-
-        # The openmc.mgxs module needs a summary.h5 file
-        self._input_set.settings.output = {'summary': True}
+        # Set the input set to use the pincell model
+        self._input_set = PinCellInputSet()
 
         # Generate inputs using parent class routine
         super(MGXSTestHarness, self)._build_inputs()
 
         # Initialize a two-group structure
-        energy_groups = openmc.mgxs.EnergyGroups(group_edges=[0, 0.625e-6, 20.])
+        energy_groups = openmc.mgxs.EnergyGroups(group_edges=[0, 0.625e-6,
+                                                              20.])
 
         # Initialize MGXS Library for a few cross section types
-        self.mgxs_lib = openmc.mgxs.Library(self._input_set.geometry.geometry)
+        self.mgxs_lib = openmc.mgxs.Library(self._input_set.geometry)
         self.mgxs_lib.by_nuclide = False
-        self.mgxs_lib.mgxs_types = ['transport', 'nu-fission',
-                                    'nu-scatter matrix', 'chi']
+        # Test all MGXS types
+        self.mgxs_lib.mgxs_types = openmc.mgxs.MGXS_TYPES
         self.mgxs_lib.energy_groups = energy_groups
+        self.mgxs_lib.legendre_order = 3
         self.mgxs_lib.domain_type = 'material'
         self.mgxs_lib.build_library()
 
         # Initialize a tallies file
-        self._input_set.tallies = openmc.TalliesFile()
+        self._input_set.tallies = openmc.Tallies()
         self.mgxs_lib.add_to_tallies_file(self._input_set.tallies, merge=False)
         self._input_set.tallies.export_to_xml()
 
@@ -43,11 +45,6 @@ class MGXSTestHarness(PyAPITestHarness):
         statepoint = glob.glob(os.path.join(os.getcwd(), self._sp_name))[0]
         sp = openmc.StatePoint(statepoint)
 
-        # Read the summary file.
-        summary = glob.glob(os.path.join(os.getcwd(), 'summary.h5'))[0]
-        su = openmc.Summary(summary)
-        sp.link_with_summary(su)
-
         # Load the MGXS library from the statepoint
         self.mgxs_lib.load_from_statepoint(sp)
 
@@ -61,9 +58,7 @@ class MGXSTestHarness(PyAPITestHarness):
             for mgxs_type in condense_lib.mgxs_types:
                 mgxs = condense_lib.get_mgxs(domain, mgxs_type)
                 df = mgxs.get_pandas_dataframe()
-                outstr += df.to_string()
-
-        print(outstr)
+                outstr += df.to_string() + '\n'
 
         # Hash the results if necessary
         if hash_output:
diff --git a/tests/test_mgxs_library_distribcell/inputs_true.dat b/tests/test_mgxs_library_distribcell/inputs_true.dat
new file mode 100644
index 0000000000..dc67b7c562
--- /dev/null
+++ b/tests/test_mgxs_library_distribcell/inputs_true.dat
@@ -0,0 +1 @@
+88849ac150f9c389e67de96356dfceb0bde08643f68ca25699e67d263995b95893d7340a2b08b2f0f5075fc5020f73553c5287ec6c56ace2f35ce0214961e123
\ No newline at end of file
diff --git a/tests/test_mgxs_library_distribcell/results_true.dat b/tests/test_mgxs_library_distribcell/results_true.dat
new file mode 100644
index 0000000000..5000d60c3b
--- /dev/null
+++ b/tests/test_mgxs_library_distribcell/results_true.dat
@@ -0,0 +1,36 @@
+                                    avg(distribcell)  group in nuclide      mean  std. dev.
+0  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...         1   total  1.145934   0.553822
+                                    avg(distribcell)  group in nuclide      mean  std. dev.
+0  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...         1   total  0.718919   0.520644
+                                    avg(distribcell)  group in nuclide      mean  std. dev.
+0  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...         1   total  0.718919   0.520644
+                                    avg(distribcell)  group in nuclide      mean  std. dev.
+0  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...         1   total  0.019762   0.010629
+                                    avg(distribcell)  group in nuclide      mean  std. dev.
+0  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...         1   total  0.019762   0.010629
+                                    avg(distribcell)  group in nuclide  mean  std. dev.
+0  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...         1   total   0.0        0.0
+                                    avg(distribcell)  group in nuclide  mean  std. dev.
+0  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...         1   total   0.0        0.0
+                                    avg(distribcell)  group in nuclide  mean  std. dev.
+0  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...         1   total   0.0        0.0
+                                    avg(distribcell)  group in nuclide      mean  std. dev.
+0  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...         1   total  1.126172    0.54344
+                                    avg(distribcell)  group in nuclide      mean  std. dev.
+0  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...         1   total  1.142547   0.570131
+                                    avg(distribcell)  group in  group out nuclide moment      mean  std. dev.
+0  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...         1          1   total     P0  1.142547   0.570131
+1  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...         1          1   total     P1  0.447381   0.216322
+2  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...         1          1   total     P2  0.141202   0.066504
+3  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...         1          1   total     P3  0.039228   0.024621
+                                    avg(distribcell)  group in  group out nuclide moment      mean  std. dev.
+0  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...         1          1   total     P0  1.142547   0.570131
+1  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...         1          1   total     P1  0.447381   0.216322
+2  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...         1          1   total     P2  0.141202   0.066504
+3  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...         1          1   total     P3  0.039228   0.024621
+                                    avg(distribcell)  group in  group out nuclide  mean  std. dev.
+0  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...         1          1   total   1.0   0.529717
+                                    avg(distribcell)  group in  group out nuclide  mean  std. dev.
+0  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...         1          1   total   0.0        0.0
+                                    avg(distribcell)  group out nuclide  mean  std. dev.
+0  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...          1   total   0.0        0.0
diff --git a/tests/test_mgxs_library_distribcell/test_mgxs_library_distribcell.py b/tests/test_mgxs_library_distribcell/test_mgxs_library_distribcell.py
new file mode 100644
index 0000000000..30593e54b5
--- /dev/null
+++ b/tests/test_mgxs_library_distribcell/test_mgxs_library_distribcell.py
@@ -0,0 +1,76 @@
+#!/usr/bin/env python
+
+import os
+import sys
+import glob
+import hashlib
+sys.path.insert(0, os.pardir)
+from testing_harness import PyAPITestHarness
+import openmc
+import openmc.mgxs
+
+
+class MGXSTestHarness(PyAPITestHarness):
+    def _build_inputs(self):
+        # Generate inputs using parent class routine
+        super(MGXSTestHarness, self)._build_inputs()
+
+        # Initialize a one-group structure
+        energy_groups = openmc.mgxs.EnergyGroups(group_edges=[0, 20.])
+
+        # Initialize MGXS Library for a few cross section types
+        # for one material-filled cell in the geometry
+        self.mgxs_lib = openmc.mgxs.Library(self._input_set.geometry)
+        self.mgxs_lib.by_nuclide = False
+        # Test all MGXS types
+        self.mgxs_lib.mgxs_types = openmc.mgxs.MGXS_TYPES
+        self.mgxs_lib.energy_groups = energy_groups
+        self.mgxs_lib.legendre_order = 3
+        self.mgxs_lib.domain_type = 'distribcell'
+        material_cells = self.mgxs_lib.openmc_geometry.get_all_material_cells()
+        self.mgxs_lib.domains = [material_cells[-1]]
+        self.mgxs_lib.build_library()
+
+        # Initialize a tallies file
+        self._input_set.tallies = openmc.Tallies()
+        self.mgxs_lib.add_to_tallies_file(self._input_set.tallies, merge=False)
+        self._input_set.tallies.export_to_xml()
+
+    def _get_results(self, hash_output=False):
+        """Digest info in the statepoint and return as a string."""
+
+        # Read the statepoint file.
+        statepoint = glob.glob(os.path.join(os.getcwd(), self._sp_name))[0]
+        sp = openmc.StatePoint(statepoint)
+
+        # Load the MGXS library from the statepoint
+        self.mgxs_lib.load_from_statepoint(sp)
+
+        # Average the MGXS across distribcell subdomains
+        avg_lib = self.mgxs_lib.get_subdomain_avg_library()
+
+        # Build a string from Pandas Dataframe for each 1-group MGXS
+        outstr = ''
+        for domain in avg_lib.domains:
+            for mgxs_type in avg_lib.mgxs_types:
+                mgxs = avg_lib.get_mgxs(domain, mgxs_type)
+                df = mgxs.get_pandas_dataframe()
+                outstr += df.to_string() + '\n'
+
+        # Hash the results if necessary
+        if hash_output:
+            sha512 = hashlib.sha512()
+            sha512.update(outstr.encode('utf-8'))
+            outstr = sha512.hexdigest()
+
+        return outstr
+
+    def _cleanup(self):
+        super(MGXSTestHarness, self)._cleanup()
+        f = os.path.join(os.getcwd(), 'tallies.xml')
+        if os.path.exists(f): os.remove(f)
+
+
+if __name__ == '__main__':
+    harness = MGXSTestHarness('statepoint.10.*', True)
+    harness.main()
diff --git a/tests/test_mgxs_library_hdf5/inputs_true.dat b/tests/test_mgxs_library_hdf5/inputs_true.dat
index 37397c5947..79ca0ec660 100644
--- a/tests/test_mgxs_library_hdf5/inputs_true.dat
+++ b/tests/test_mgxs_library_hdf5/inputs_true.dat
@@ -1 +1 @@
-35f99f1973b3bf3efcec6c2dddf56d6679a15dab8582ab5336e86e4fdf90967ce91036e5c30c345decb994ab9133a906b82dc8fad0cdd3398a612d9aa05c1c77
\ No newline at end of file
+317a63a9dd3bfd84e969667b00f46018e56c04c356461a75103f63569e6b70c84d0da7f5e611faaf1b2631330b05ab4346223d3d843018ce0ce8876671a450c0
\ No newline at end of file
diff --git a/tests/test_mgxs_library_hdf5/results_true.dat b/tests/test_mgxs_library_hdf5/results_true.dat
index eec581046d..7391b2e427 100644
--- a/tests/test_mgxs_library_hdf5/results_true.dat
+++ b/tests/test_mgxs_library_hdf5/results_true.dat
@@ -1,168 +1,195 @@
-domain=1 type=transport
-[ 0.38437891  0.81208747]
-[ 0.01648997  0.07418959]
-domain=1 type=nu-fission
-[ 0.02127008  0.69604034]
-[ 0.0008939   0.05345764]
-domain=1 type=nu-scatter matrix
-[[  3.49923892e-01   1.73140769e-04]
- [  1.94810926e-03   3.79607212e-01]]
-[[ 0.01664928  0.0001732 ]
- [ 0.00195193  0.04007819]]
-domain=1 type=chi
+domain=10000 type=total
+[ 0.41482549  0.66016992]
+[ 0.02279291  0.04751893]
+domain=10000 type=transport
+[ 0.35685964  0.64764766]
+[ 0.0254936   0.02370374]
+domain=10000 type=nu-transport
+[ 0.35685964  0.64764766]
+[ 0.0254936   0.02370374]
+domain=10000 type=absorption
+[ 0.02740784  0.26451074]
+[ 0.0026925   0.02336708]
+domain=10000 type=capture
+[ 0.01984455  0.07171935]
+[ 0.0026433   0.02520786]
+domain=10000 type=fission
+[ 0.00756329  0.19279139]
+[ 0.00050848  0.01710592]
+domain=10000 type=nu-fission
+[ 0.01943174  0.46977478]
+[ 0.00132298  0.041682  ]
+domain=10000 type=kappa-fission
+[  1.47456982  37.28689641]
+[ 0.09923532  3.30837772]
+domain=10000 type=scatter
+[ 0.38741765  0.39565918]
+[ 0.02062573  0.02512506]
+domain=10000 type=nu-scatter
+[ 0.38518839  0.4123894 ]
+[ 0.02694562  0.01542528]
+domain=10000 type=scatter matrix
+[[[  3.84199458e-01   5.18702843e-02   2.00688453e-02   9.47771571e-03]
+  [  9.88930393e-04  -2.07234596e-04  -1.03366181e-04   2.34290623e-04]]
+
+ [[  9.24639909e-04  -7.67704968e-04   4.93788872e-04  -1.71497229e-04]
+  [  4.11464759e-01   1.64817280e-02   6.37149049e-03  -1.04991221e-02]]]
+[[[ 0.02700101  0.00698255  0.0028465   0.00223352]
+  [ 0.00048242  0.00014901  0.00018432  0.00012817]]
+
+ [[ 0.00092488  0.00076791  0.00049392  0.00017154]
+  [ 0.01524494  0.00450173  0.01055075  0.01043819]]]
+domain=10000 type=nu-scatter matrix
+[[[  3.84199458e-01   5.18702843e-02   2.00688453e-02   9.47771571e-03]
+  [  9.88930393e-04  -2.07234596e-04  -1.03366181e-04   2.34290623e-04]]
+
+ [[  9.24639909e-04  -7.67704968e-04   4.93788872e-04  -1.71497229e-04]
+  [  4.11464759e-01   1.64817280e-02   6.37149049e-03  -1.04991221e-02]]]
+[[[ 0.02700101  0.00698255  0.0028465   0.00223352]
+  [ 0.00048242  0.00014901  0.00018432  0.00012817]]
+
+ [[ 0.00092488  0.00076791  0.00049392  0.00017154]
+  [ 0.01524494  0.00450173  0.01055075  0.01043819]]]
+domain=10000 type=multiplicity matrix
+[[ 1.  1.]
+ [ 1.  1.]]
+[[ 0.07851646  0.68718427]
+ [ 1.41421356  0.04113035]]
+domain=10000 type=nu-fission matrix
+[[ 0.02014243  0.        ]
+ [ 0.45436647  0.        ]]
+[[ 0.00314909  0.        ]
+ [ 0.02742551  0.        ]]
+domain=10000 type=chi
 [ 1.  0.]
-[ 0.11962178  0.        ]
-domain=2 type=transport
-[ 0.24504295  0.26645769]
-[ 0.00882749  0.05220872]
-domain=2 type=nu-fission
+[ 0.04607052  0.        ]
+domain=10001 type=total
+[ 0.31373767  0.3008214 ]
+[ 0.0155819   0.02805245]
+domain=10001 type=transport
+[ 0.27322787  0.31237484]
+[ 0.03311537  0.04960583]
+domain=10001 type=nu-transport
+[ 0.27322787  0.31237484]
+[ 0.03311537  0.04960583]
+domain=10001 type=absorption
+[ 0.00157499  0.00540038]
+[ 0.00032255  0.00061814]
+domain=10001 type=capture
+[ 0.00157499  0.00540038]
+[ 0.00032255  0.00061814]
+domain=10001 type=fission
 [ 0.  0.]
 [ 0.  0.]
-domain=2 type=nu-scatter matrix
-[[ 0.24365718  0.        ]
- [ 0.          0.25478661]]
-[[ 0.00908307  0.        ]
- [ 0.          0.05556256]]
-domain=2 type=chi
+domain=10001 type=nu-fission
 [ 0.  0.]
 [ 0.  0.]
-domain=3 type=transport
-[ 0.28227749  1.42731974]
-[ 0.03724175  0.24712746]
-domain=3 type=nu-fission
+domain=10001 type=kappa-fission
 [ 0.  0.]
 [ 0.  0.]
-domain=3 type=nu-scatter matrix
-[[ 0.25396726  0.02727268]
- [ 0.          1.37652669]]
-[[ 0.03617307  0.00180698]
- [ 0.          0.2402569 ]]
-domain=3 type=chi
-[ 0.  0.]
-[ 0.  0.]
-domain=4 type=transport
-[ 0.25572316  1.17976682]
-[ 0.05191655  0.22938034]
-domain=4 type=nu-fission
-[ 0.  0.]
-[ 0.  0.]
-domain=4 type=nu-scatter matrix
-[[ 0.23297756  0.02228141]
- [ 0.          1.14680862]]
-[[ 0.04977114  0.00262525]
- [ 0.          0.22219839]]
-domain=4 type=chi
-[ 0.  0.]
-[ 0.  0.]
-domain=5 type=transport
-[ 0.  0.]
-[ 0.  0.]
-domain=5 type=nu-fission
-[ 0.  0.]
-[ 0.  0.]
-domain=5 type=nu-scatter matrix
+domain=10001 type=scatter
+[ 0.31216268  0.29542102]
+[ 0.01532192  0.02744549]
+domain=10001 type=nu-scatter
+[ 0.31012074  0.29626427]
+[ 0.03378811  0.04379223]
+domain=10001 type=scatter matrix
+[[[ 0.31012074  0.03822959  0.02074494  0.0079643 ]
+  [ 0.          0.          0.          0.        ]]
+
+ [[ 0.          0.          0.          0.        ]
+  [ 0.29626427 -0.01121364  0.00883657 -0.00327007]]]
+[[[ 0.03378811  0.008484    0.00469561  0.00373162]
+  [ 0.          0.          0.          0.        ]]
+
+ [[ 0.          0.          0.          0.        ]
+  [ 0.04379223  0.01618037  0.01150396  0.00732885]]]
+domain=10001 type=nu-scatter matrix
+[[[ 0.31012074  0.03822959  0.02074494  0.0079643 ]
+  [ 0.          0.          0.          0.        ]]
+
+ [[ 0.          0.          0.          0.        ]
+  [ 0.29626427 -0.01121364  0.00883657 -0.00327007]]]
+[[[ 0.03378811  0.008484    0.00469561  0.00373162]
+  [ 0.          0.          0.          0.        ]]
+
+ [[ 0.          0.          0.          0.        ]
+  [ 0.04379223  0.01618037  0.01150396  0.00732885]]]
+domain=10001 type=multiplicity matrix
+[[ 1.  0.]
+ [ 0.  1.]]
+[[ 0.1087787   0.        ]
+ [ 0.          0.14242717]]
+domain=10001 type=nu-fission matrix
 [[ 0.  0.]
  [ 0.  0.]]
 [[ 0.  0.]
  [ 0.  0.]]
-domain=5 type=chi
+domain=10001 type=chi
 [ 0.  0.]
 [ 0.  0.]
-domain=6 type=transport
+domain=10002 type=total
+[ 0.66457226  2.05238401]
+[ 0.03121475  0.22434291]
+domain=10002 type=transport
+[ 0.29056526  1.51643801]
+[ 0.02385185  0.23519727]
+domain=10002 type=nu-transport
+[ 0.29056526  1.51643801]
+[ 0.02385185  0.23519727]
+domain=10002 type=absorption
+[ 0.0006904   0.03168726]
+[  4.41475687e-05   3.74655858e-03]
+domain=10002 type=capture
+[ 0.0006904   0.03168726]
+[  4.41475687e-05   3.74655858e-03]
+domain=10002 type=fission
 [ 0.  0.]
 [ 0.  0.]
-domain=6 type=nu-fission
+domain=10002 type=nu-fission
 [ 0.  0.]
 [ 0.  0.]
-domain=6 type=nu-scatter matrix
+domain=10002 type=kappa-fission
+[ 0.  0.]
+[ 0.  0.]
+domain=10002 type=scatter
+[ 0.66388186  2.02069676]
+[ 0.03117268  0.22060445]
+domain=10002 type=nu-scatter
+[ 0.6712692   2.03538833]
+[ 0.02618637  0.25806033]
+domain=10002 type=scatter matrix
+[[[  6.39901485e-01   3.81167449e-01   1.52391898e-01   9.14802229e-03]
+  [  3.13677198e-02   8.75772321e-03  -2.56790106e-03  -3.78480288e-03]]
+
+ [[  4.43343134e-04   3.99960414e-04   3.19562707e-04   2.13846969e-04]
+  [  2.03494499e+00   5.09940513e-01   1.11174609e-01   2.49884357e-02]]]
+[[[  2.47091228e-02   1.62432649e-02   8.15627770e-03   3.88856214e-03]
+  [  1.72811290e-03   9.25670501e-04   1.01398475e-03   8.17075571e-04]]
+
+ [[  4.44850393e-04   4.01320183e-04   3.20649143e-04   2.14573997e-04]
+  [  2.57799889e-01   5.12359063e-02   1.30198170e-02   8.31235256e-03]]]
+domain=10002 type=nu-scatter matrix
+[[[  6.39901485e-01   3.81167449e-01   1.52391898e-01   9.14802229e-03]
+  [  3.13677198e-02   8.75772321e-03  -2.56790106e-03  -3.78480288e-03]]
+
+ [[  4.43343134e-04   3.99960414e-04   3.19562707e-04   2.13846969e-04]
+  [  2.03494499e+00   5.09940513e-01   1.11174609e-01   2.49884357e-02]]]
+[[[  2.47091228e-02   1.62432649e-02   8.15627770e-03   3.88856214e-03]
+  [  1.72811290e-03   9.25670501e-04   1.01398475e-03   8.17075571e-04]]
+
+ [[  4.44850393e-04   4.01320183e-04   3.20649143e-04   2.14573997e-04]
+  [  2.57799889e-01   5.12359063e-02   1.30198170e-02   8.31235256e-03]]]
+domain=10002 type=multiplicity matrix
+[[ 1.  1.]
+ [ 1.  1.]]
+[[ 0.03860919  0.06766735]
+ [ 1.41421356  0.13592921]]
+domain=10002 type=nu-fission matrix
 [[ 0.  0.]
  [ 0.  0.]]
 [[ 0.  0.]
  [ 0.  0.]]
-domain=6 type=chi
-[ 0.  0.]
-[ 0.  0.]
-domain=7 type=transport
-[ 0.  0.]
-[ 0.  0.]
-domain=7 type=nu-fission
-[ 0.  0.]
-[ 0.  0.]
-domain=7 type=nu-scatter matrix
-[[ 0.  0.]
- [ 0.  0.]]
-[[ 0.  0.]
- [ 0.  0.]]
-domain=7 type=chi
-[ 0.  0.]
-[ 0.  0.]
-domain=8 type=transport
-[ 0.  0.]
-[ 0.  0.]
-domain=8 type=nu-fission
-[ 0.  0.]
-[ 0.  0.]
-domain=8 type=nu-scatter matrix
-[[ 0.  0.]
- [ 0.  0.]]
-[[ 0.  0.]
- [ 0.  0.]]
-domain=8 type=chi
-[ 0.  0.]
-[ 0.  0.]
-domain=9 type=transport
-[ 0.50403601  1.68709544]
-[ 0.37962374  2.53662237]
-domain=9 type=nu-fission
-[ 0.  0.]
-[ 0.  0.]
-domain=9 type=nu-scatter matrix
-[[ 0.50403601  0.        ]
- [ 0.          1.41795483]]
-[[ 0.37962374  0.        ]
- [ 0.          2.15802716]]
-domain=9 type=chi
-[ 0.  0.]
-[ 0.  0.]
-domain=10 type=transport
-[ 0.  0.]
-[ 0.  0.]
-domain=10 type=nu-fission
-[ 0.  0.]
-[ 0.  0.]
-domain=10 type=nu-scatter matrix
-[[ 0.  0.]
- [ 0.  0.]]
-[[ 0.  0.]
- [ 0.  0.]]
-domain=10 type=chi
-[ 0.  0.]
-[ 0.  0.]
-domain=11 type=transport
-[ 0.30282618  1.00614519]
-[ 0.40131081  1.09163785]
-domain=11 type=nu-fission
-[ 0.  0.]
-[ 0.  0.]
-domain=11 type=nu-scatter matrix
-[[ 0.27567871  0.02714747]
- [ 0.          0.95792921]]
-[[ 0.38567601  0.02000859]
- [ 0.          1.05195936]]
-domain=11 type=chi
-[ 0.  0.]
-[ 0.  0.]
-domain=12 type=transport
-[ 0.25593293  1.11334475]
-[ 0.26842571  0.98867569]
-domain=12 type=nu-fission
-[ 0.  0.]
-[ 0.  0.]
-domain=12 type=nu-scatter matrix
-[[ 0.22631045  0.02962248]
- [ 0.          1.07168976]]
-[[ 0.25487194  0.0177599 ]
- [ 0.          0.95829029]]
-domain=12 type=chi
+domain=10002 type=chi
 [ 0.  0.]
 [ 0.  0.]
diff --git a/tests/test_mgxs_library_hdf5/test_mgxs_library_hdf5.py b/tests/test_mgxs_library_hdf5/test_mgxs_library_hdf5.py
index 642073104b..000a1f8cb9 100644
--- a/tests/test_mgxs_library_hdf5/test_mgxs_library_hdf5.py
+++ b/tests/test_mgxs_library_hdf5/test_mgxs_library_hdf5.py
@@ -7,33 +7,35 @@ import hashlib
 import h5py
 sys.path.insert(0, os.pardir)
 from testing_harness import PyAPITestHarness
+from input_set import PinCellInputSet
 import openmc
 import openmc.mgxs
 
 
 class MGXSTestHarness(PyAPITestHarness):
     def _build_inputs(self):
-
-        # The openmc.mgxs module needs a summary.h5 file
-        self._input_set.settings.output = {'summary': True}
+        # Set the input set to use the pincell model
+        self._input_set = PinCellInputSet()
 
         # Generate inputs using parent class routine
         super(MGXSTestHarness, self)._build_inputs()
 
         # Initialize a two-group structure
-        energy_groups = openmc.mgxs.EnergyGroups(group_edges=[0, 0.625e-6, 20.])
+        energy_groups = openmc.mgxs.EnergyGroups(group_edges=[0, 0.625e-6,
+                                                              20.])
 
         # Initialize MGXS Library for a few cross section types
-        self.mgxs_lib = openmc.mgxs.Library(self._input_set.geometry.geometry)
+        self.mgxs_lib = openmc.mgxs.Library(self._input_set.geometry)
         self.mgxs_lib.by_nuclide = False
-        self.mgxs_lib.mgxs_types = ['transport', 'nu-fission',
-                                    'nu-scatter matrix', 'chi']
+        # Test all MGXS types
+        self.mgxs_lib.mgxs_types = openmc.mgxs.MGXS_TYPES
         self.mgxs_lib.energy_groups = energy_groups
+        self.mgxs_lib.legendre_order = 3
         self.mgxs_lib.domain_type = 'material'
         self.mgxs_lib.build_library()
 
         # Initialize a tallies file
-        self._input_set.tallies = openmc.TalliesFile()
+        self._input_set.tallies = openmc.Tallies()
         self.mgxs_lib.add_to_tallies_file(self._input_set.tallies, merge=False)
         self._input_set.tallies.export_to_xml()
 
@@ -44,14 +46,9 @@ class MGXSTestHarness(PyAPITestHarness):
         statepoint = glob.glob(os.path.join(os.getcwd(), self._sp_name))[0]
         sp = openmc.StatePoint(statepoint)
 
-        # Read the summary file.
-        summary = glob.glob(os.path.join(os.getcwd(), 'summary.h5'))[0]
-        su = openmc.Summary(summary)
-        sp.link_with_summary(su)
-
         # Load the MGXS library from the statepoint
         self.mgxs_lib.load_from_statepoint(sp)
-        
+
         # Export the MGXS Library to an HDF5 file
         self.mgxs_lib.build_hdf5_store(directory='.')
 
@@ -67,7 +64,7 @@ class MGXSTestHarness(PyAPITestHarness):
                 outstr += str(f[key][...]) + '\n'
                 key = 'material/{0}/{1}/std. dev.'.format(domain.id, mgxs_type)
                 outstr += str(f[key][...]) + '\n'
-        
+
         # Close the MGXS HDF5 file
         f.close()
 
@@ -79,7 +76,6 @@ class MGXSTestHarness(PyAPITestHarness):
 
         return outstr
 
-
     def _cleanup(self):
         super(MGXSTestHarness, self)._cleanup()
         f = os.path.join(os.getcwd(), 'tallies.xml')
diff --git a/tests/test_mgxs_library_no_nuclides/inputs_true.dat b/tests/test_mgxs_library_no_nuclides/inputs_true.dat
index 37397c5947..79ca0ec660 100644
--- a/tests/test_mgxs_library_no_nuclides/inputs_true.dat
+++ b/tests/test_mgxs_library_no_nuclides/inputs_true.dat
@@ -1 +1 @@
-35f99f1973b3bf3efcec6c2dddf56d6679a15dab8582ab5336e86e4fdf90967ce91036e5c30c345decb994ab9133a906b82dc8fad0cdd3398a612d9aa05c1c77
\ No newline at end of file
+317a63a9dd3bfd84e969667b00f46018e56c04c356461a75103f63569e6b70c84d0da7f5e611faaf1b2631330b05ab4346223d3d843018ce0ce8876671a450c0
\ No newline at end of file
diff --git a/tests/test_mgxs_library_no_nuclides/results_true.dat b/tests/test_mgxs_library_no_nuclides/results_true.dat
index 7618512689..599cee6c49 100644
--- a/tests/test_mgxs_library_no_nuclides/results_true.dat
+++ b/tests/test_mgxs_library_no_nuclides/results_true.dat
@@ -1,121 +1,231 @@
    material  group in nuclide      mean  std. dev.
-1         1         1   total  0.384379    0.01649
-0         1         2   total  0.812087    0.07419   material  group in nuclide     mean  std. dev.
-1         1         1   total  0.02127   0.000894
-0         1         2   total  0.69604   0.053458   material  group in  group out nuclide      mean  std. dev.
-3         1         1          1   total  0.349924   0.016649
-2         1         1          2   total  0.000173   0.000173
-1         1         2          1   total  0.001948   0.001952
-0         1         2          2   total  0.379607   0.040078   material  group out nuclide  mean  std. dev.
-1         1          1   total     1   0.119622
-0         1          2   total     0   0.000000   material  group in nuclide      mean  std. dev.
-1         2         1   total  0.245043   0.008827
-0         2         2   total  0.266458   0.052209   material  group in nuclide  mean  std. dev.
-1         2         1   total     0          0
-0         2         2   total     0          0   material  group in  group out nuclide      mean  std. dev.
-3         2         1          1   total  0.243657   0.009083
-2         2         1          2   total  0.000000   0.000000
-1         2         2          1   total  0.000000   0.000000
-0         2         2          2   total  0.254787   0.055563   material  group out nuclide  mean  std. dev.
-1         2          1   total     0          0
-0         2          2   total     0          0   material  group in nuclide      mean  std. dev.
-1         3         1   total  0.282277   0.037242
-0         3         2   total  1.427320   0.247127   material  group in nuclide  mean  std. dev.
-1         3         1   total     0          0
-0         3         2   total     0          0   material  group in  group out nuclide      mean  std. dev.
-3         3         1          1   total  0.253967   0.036173
-2         3         1          2   total  0.027273   0.001807
-1         3         2          1   total  0.000000   0.000000
-0         3         2          2   total  1.376527   0.240257   material  group out nuclide  mean  std. dev.
-1         3          1   total     0          0
-0         3          2   total     0          0   material  group in nuclide      mean  std. dev.
-1         4         1   total  0.255723   0.051917
-0         4         2   total  1.179767   0.229380   material  group in nuclide  mean  std. dev.
-1         4         1   total     0          0
-0         4         2   total     0          0   material  group in  group out nuclide      mean  std. dev.
-3         4         1          1   total  0.232978   0.049771
-2         4         1          2   total  0.022281   0.002625
-1         4         2          1   total  0.000000   0.000000
-0         4         2          2   total  1.146809   0.222198   material  group out nuclide  mean  std. dev.
-1         4          1   total     0          0
-0         4          2   total     0          0   material  group in nuclide  mean  std. dev.
-1         5         1   total     0          0
-0         5         2   total     0          0   material  group in nuclide  mean  std. dev.
-1         5         1   total     0          0
-0         5         2   total     0          0   material  group in  group out nuclide  mean  std. dev.
-3         5         1          1   total     0          0
-2         5         1          2   total     0          0
-1         5         2          1   total     0          0
-0         5         2          2   total     0          0   material  group out nuclide  mean  std. dev.
-1         5          1   total     0          0
-0         5          2   total     0          0   material  group in nuclide  mean  std. dev.
-1         6         1   total     0          0
-0         6         2   total     0          0   material  group in nuclide  mean  std. dev.
-1         6         1   total     0          0
-0         6         2   total     0          0   material  group in  group out nuclide  mean  std. dev.
-3         6         1          1   total     0          0
-2         6         1          2   total     0          0
-1         6         2          1   total     0          0
-0         6         2          2   total     0          0   material  group out nuclide  mean  std. dev.
-1         6          1   total     0          0
-0         6          2   total     0          0   material  group in nuclide  mean  std. dev.
-1         7         1   total     0          0
-0         7         2   total     0          0   material  group in nuclide  mean  std. dev.
-1         7         1   total     0          0
-0         7         2   total     0          0   material  group in  group out nuclide  mean  std. dev.
-3         7         1          1   total     0          0
-2         7         1          2   total     0          0
-1         7         2          1   total     0          0
-0         7         2          2   total     0          0   material  group out nuclide  mean  std. dev.
-1         7          1   total     0          0
-0         7          2   total     0          0   material  group in nuclide  mean  std. dev.
-1         8         1   total     0          0
-0         8         2   total     0          0   material  group in nuclide  mean  std. dev.
-1         8         1   total     0          0
-0         8         2   total     0          0   material  group in  group out nuclide  mean  std. dev.
-3         8         1          1   total     0          0
-2         8         1          2   total     0          0
-1         8         2          1   total     0          0
-0         8         2          2   total     0          0   material  group out nuclide  mean  std. dev.
-1         8          1   total     0          0
-0         8          2   total     0          0   material  group in nuclide      mean  std. dev.
-1         9         1   total  0.504036   0.379624
-0         9         2   total  1.687095   2.536622   material  group in nuclide  mean  std. dev.
-1         9         1   total     0          0
-0         9         2   total     0          0   material  group in  group out nuclide      mean  std. dev.
-3         9         1          1   total  0.504036   0.379624
-2         9         1          2   total  0.000000   0.000000
-1         9         2          1   total  0.000000   0.000000
-0         9         2          2   total  1.417955   2.158027   material  group out nuclide  mean  std. dev.
-1         9          1   total     0          0
-0         9          2   total     0          0   material  group in nuclide  mean  std. dev.
-1        10         1   total     0          0
-0        10         2   total     0          0   material  group in nuclide  mean  std. dev.
-1        10         1   total     0          0
-0        10         2   total     0          0   material  group in  group out nuclide  mean  std. dev.
-3        10         1          1   total     0          0
-2        10         1          2   total     0          0
-1        10         2          1   total     0          0
-0        10         2          2   total     0          0   material  group out nuclide  mean  std. dev.
-1        10          1   total     0          0
-0        10          2   total     0          0   material  group in nuclide      mean  std. dev.
-1        11         1   total  0.302826   0.401311
-0        11         2   total  1.006145   1.091638   material  group in nuclide  mean  std. dev.
-1        11         1   total     0          0
-0        11         2   total     0          0   material  group in  group out nuclide      mean  std. dev.
-3        11         1          1   total  0.275679   0.385676
-2        11         1          2   total  0.027147   0.020009
-1        11         2          1   total  0.000000   0.000000
-0        11         2          2   total  0.957929   1.051959   material  group out nuclide  mean  std. dev.
-1        11          1   total     0          0
-0        11          2   total     0          0   material  group in nuclide      mean  std. dev.
-1        12         1   total  0.255933   0.268426
-0        12         2   total  1.113345   0.988676   material  group in nuclide  mean  std. dev.
-1        12         1   total     0          0
-0        12         2   total     0          0   material  group in  group out nuclide      mean  std. dev.
-3        12         1          1   total  0.226310   0.254872
-2        12         1          2   total  0.029622   0.017760
-1        12         2          1   total  0.000000   0.000000
-0        12         2          2   total  1.071690   0.958290   material  group out nuclide  mean  std. dev.
-1        12          1   total     0          0
-0        12          2   total     0          0
\ No newline at end of file
+1     10000         1   total  0.414825   0.022793
+0     10000         2   total  0.660170   0.047519
+   material  group in nuclide      mean  std. dev.
+1     10000         1   total  0.356860   0.025494
+0     10000         2   total  0.647648   0.023704
+   material  group in nuclide      mean  std. dev.
+1     10000         1   total  0.356860   0.025494
+0     10000         2   total  0.647648   0.023704
+   material  group in nuclide      mean  std. dev.
+1     10000         1   total  0.027408   0.002692
+0     10000         2   total  0.264511   0.023367
+   material  group in nuclide      mean  std. dev.
+1     10000         1   total  0.019845   0.002643
+0     10000         2   total  0.071719   0.025208
+   material  group in nuclide      mean  std. dev.
+1     10000         1   total  0.007563   0.000508
+0     10000         2   total  0.192791   0.017106
+   material  group in nuclide      mean  std. dev.
+1     10000         1   total  0.019432   0.001323
+0     10000         2   total  0.469775   0.041682
+   material  group in nuclide       mean  std. dev.
+1     10000         1   total   1.474570   0.099235
+0     10000         2   total  37.286896   3.308378
+   material  group in nuclide      mean  std. dev.
+1     10000         1   total  0.387418   0.020626
+0     10000         2   total  0.395659   0.025125
+   material  group in nuclide      mean  std. dev.
+1     10000         1   total  0.385188   0.026946
+0     10000         2   total  0.412389   0.015425
+    material  group in  group out nuclide moment      mean  std. dev.
+12     10000         1          1   total     P0  0.384199   0.027001
+13     10000         1          1   total     P1  0.051870   0.006983
+14     10000         1          1   total     P2  0.020069   0.002846
+15     10000         1          1   total     P3  0.009478   0.002234
+8      10000         1          2   total     P0  0.000989   0.000482
+9      10000         1          2   total     P1 -0.000207   0.000149
+10     10000         1          2   total     P2 -0.000103   0.000184
+11     10000         1          2   total     P3  0.000234   0.000128
+4      10000         2          1   total     P0  0.000925   0.000925
+5      10000         2          1   total     P1 -0.000768   0.000768
+6      10000         2          1   total     P2  0.000494   0.000494
+7      10000         2          1   total     P3 -0.000171   0.000172
+0      10000         2          2   total     P0  0.411465   0.015245
+1      10000         2          2   total     P1  0.016482   0.004502
+2      10000         2          2   total     P2  0.006371   0.010551
+3      10000         2          2   total     P3 -0.010499   0.010438
+    material  group in  group out nuclide moment      mean  std. dev.
+12     10000         1          1   total     P0  0.384199   0.027001
+13     10000         1          1   total     P1  0.051870   0.006983
+14     10000         1          1   total     P2  0.020069   0.002846
+15     10000         1          1   total     P3  0.009478   0.002234
+8      10000         1          2   total     P0  0.000989   0.000482
+9      10000         1          2   total     P1 -0.000207   0.000149
+10     10000         1          2   total     P2 -0.000103   0.000184
+11     10000         1          2   total     P3  0.000234   0.000128
+4      10000         2          1   total     P0  0.000925   0.000925
+5      10000         2          1   total     P1 -0.000768   0.000768
+6      10000         2          1   total     P2  0.000494   0.000494
+7      10000         2          1   total     P3 -0.000171   0.000172
+0      10000         2          2   total     P0  0.411465   0.015245
+1      10000         2          2   total     P1  0.016482   0.004502
+2      10000         2          2   total     P2  0.006371   0.010551
+3      10000         2          2   total     P3 -0.010499   0.010438
+   material  group in  group out nuclide  mean  std. dev.
+3     10000         1          1   total   1.0   0.078516
+2     10000         1          2   total   1.0   0.687184
+1     10000         2          1   total   1.0   1.414214
+0     10000         2          2   total   1.0   0.041130
+   material  group in  group out nuclide      mean  std. dev.
+3     10000         1          1   total  0.020142   0.003149
+2     10000         1          2   total  0.000000   0.000000
+1     10000         2          1   total  0.454366   0.027426
+0     10000         2          2   total  0.000000   0.000000
+   material  group out nuclide  mean  std. dev.
+1     10000          1   total   1.0   0.046071
+0     10000          2   total   0.0   0.000000
+   material  group in nuclide      mean  std. dev.
+1     10001         1   total  0.313738   0.015582
+0     10001         2   total  0.300821   0.028052
+   material  group in nuclide      mean  std. dev.
+1     10001         1   total  0.273228   0.033115
+0     10001         2   total  0.312375   0.049606
+   material  group in nuclide      mean  std. dev.
+1     10001         1   total  0.273228   0.033115
+0     10001         2   total  0.312375   0.049606
+   material  group in nuclide      mean  std. dev.
+1     10001         1   total  0.001575   0.000323
+0     10001         2   total  0.005400   0.000618
+   material  group in nuclide      mean  std. dev.
+1     10001         1   total  0.001575   0.000323
+0     10001         2   total  0.005400   0.000618
+   material  group in nuclide  mean  std. dev.
+1     10001         1   total   0.0        0.0
+0     10001         2   total   0.0        0.0
+   material  group in nuclide  mean  std. dev.
+1     10001         1   total   0.0        0.0
+0     10001         2   total   0.0        0.0
+   material  group in nuclide  mean  std. dev.
+1     10001         1   total   0.0        0.0
+0     10001         2   total   0.0        0.0
+   material  group in nuclide      mean  std. dev.
+1     10001         1   total  0.312163   0.015322
+0     10001         2   total  0.295421   0.027445
+   material  group in nuclide      mean  std. dev.
+1     10001         1   total  0.310121   0.033788
+0     10001         2   total  0.296264   0.043792
+    material  group in  group out nuclide moment      mean  std. dev.
+12     10001         1          1   total     P0  0.310121   0.033788
+13     10001         1          1   total     P1  0.038230   0.008484
+14     10001         1          1   total     P2  0.020745   0.004696
+15     10001         1          1   total     P3  0.007964   0.003732
+8      10001         1          2   total     P0  0.000000   0.000000
+9      10001         1          2   total     P1  0.000000   0.000000
+10     10001         1          2   total     P2  0.000000   0.000000
+11     10001         1          2   total     P3  0.000000   0.000000
+4      10001         2          1   total     P0  0.000000   0.000000
+5      10001         2          1   total     P1  0.000000   0.000000
+6      10001         2          1   total     P2  0.000000   0.000000
+7      10001         2          1   total     P3  0.000000   0.000000
+0      10001         2          2   total     P0  0.296264   0.043792
+1      10001         2          2   total     P1 -0.011214   0.016180
+2      10001         2          2   total     P2  0.008837   0.011504
+3      10001         2          2   total     P3 -0.003270   0.007329
+    material  group in  group out nuclide moment      mean  std. dev.
+12     10001         1          1   total     P0  0.310121   0.033788
+13     10001         1          1   total     P1  0.038230   0.008484
+14     10001         1          1   total     P2  0.020745   0.004696
+15     10001         1          1   total     P3  0.007964   0.003732
+8      10001         1          2   total     P0  0.000000   0.000000
+9      10001         1          2   total     P1  0.000000   0.000000
+10     10001         1          2   total     P2  0.000000   0.000000
+11     10001         1          2   total     P3  0.000000   0.000000
+4      10001         2          1   total     P0  0.000000   0.000000
+5      10001         2          1   total     P1  0.000000   0.000000
+6      10001         2          1   total     P2  0.000000   0.000000
+7      10001         2          1   total     P3  0.000000   0.000000
+0      10001         2          2   total     P0  0.296264   0.043792
+1      10001         2          2   total     P1 -0.011214   0.016180
+2      10001         2          2   total     P2  0.008837   0.011504
+3      10001         2          2   total     P3 -0.003270   0.007329
+   material  group in  group out nuclide  mean  std. dev.
+3     10001         1          1   total   1.0   0.108779
+2     10001         1          2   total   0.0   0.000000
+1     10001         2          1   total   0.0   0.000000
+0     10001         2          2   total   1.0   0.142427
+   material  group in  group out nuclide  mean  std. dev.
+3     10001         1          1   total   0.0        0.0
+2     10001         1          2   total   0.0        0.0
+1     10001         2          1   total   0.0        0.0
+0     10001         2          2   total   0.0        0.0
+   material  group out nuclide  mean  std. dev.
+1     10001          1   total   0.0        0.0
+0     10001          2   total   0.0        0.0
+   material  group in nuclide      mean  std. dev.
+1     10002         1   total  0.664572   0.031215
+0     10002         2   total  2.052384   0.224343
+   material  group in nuclide      mean  std. dev.
+1     10002         1   total  0.290565   0.023852
+0     10002         2   total  1.516438   0.235197
+   material  group in nuclide      mean  std. dev.
+1     10002         1   total  0.290565   0.023852
+0     10002         2   total  1.516438   0.235197
+   material  group in nuclide      mean  std. dev.
+1     10002         1   total  0.000690   0.000044
+0     10002         2   total  0.031687   0.003747
+   material  group in nuclide      mean  std. dev.
+1     10002         1   total  0.000690   0.000044
+0     10002         2   total  0.031687   0.003747
+   material  group in nuclide  mean  std. dev.
+1     10002         1   total   0.0        0.0
+0     10002         2   total   0.0        0.0
+   material  group in nuclide  mean  std. dev.
+1     10002         1   total   0.0        0.0
+0     10002         2   total   0.0        0.0
+   material  group in nuclide  mean  std. dev.
+1     10002         1   total   0.0        0.0
+0     10002         2   total   0.0        0.0
+   material  group in nuclide      mean  std. dev.
+1     10002         1   total  0.663882   0.031173
+0     10002         2   total  2.020697   0.220604
+   material  group in nuclide      mean  std. dev.
+1     10002         1   total  0.671269   0.026186
+0     10002         2   total  2.035388   0.258060
+    material  group in  group out nuclide moment      mean  std. dev.
+12     10002         1          1   total     P0  0.639901   0.024709
+13     10002         1          1   total     P1  0.381167   0.016243
+14     10002         1          1   total     P2  0.152392   0.008156
+15     10002         1          1   total     P3  0.009148   0.003889
+8      10002         1          2   total     P0  0.031368   0.001728
+9      10002         1          2   total     P1  0.008758   0.000926
+10     10002         1          2   total     P2 -0.002568   0.001014
+11     10002         1          2   total     P3 -0.003785   0.000817
+4      10002         2          1   total     P0  0.000443   0.000445
+5      10002         2          1   total     P1  0.000400   0.000401
+6      10002         2          1   total     P2  0.000320   0.000321
+7      10002         2          1   total     P3  0.000214   0.000215
+0      10002         2          2   total     P0  2.034945   0.257800
+1      10002         2          2   total     P1  0.509941   0.051236
+2      10002         2          2   total     P2  0.111175   0.013020
+3      10002         2          2   total     P3  0.024988   0.008312
+    material  group in  group out nuclide moment      mean  std. dev.
+12     10002         1          1   total     P0  0.639901   0.024709
+13     10002         1          1   total     P1  0.381167   0.016243
+14     10002         1          1   total     P2  0.152392   0.008156
+15     10002         1          1   total     P3  0.009148   0.003889
+8      10002         1          2   total     P0  0.031368   0.001728
+9      10002         1          2   total     P1  0.008758   0.000926
+10     10002         1          2   total     P2 -0.002568   0.001014
+11     10002         1          2   total     P3 -0.003785   0.000817
+4      10002         2          1   total     P0  0.000443   0.000445
+5      10002         2          1   total     P1  0.000400   0.000401
+6      10002         2          1   total     P2  0.000320   0.000321
+7      10002         2          1   total     P3  0.000214   0.000215
+0      10002         2          2   total     P0  2.034945   0.257800
+1      10002         2          2   total     P1  0.509941   0.051236
+2      10002         2          2   total     P2  0.111175   0.013020
+3      10002         2          2   total     P3  0.024988   0.008312
+   material  group in  group out nuclide  mean  std. dev.
+3     10002         1          1   total   1.0   0.038609
+2     10002         1          2   total   1.0   0.067667
+1     10002         2          1   total   1.0   1.414214
+0     10002         2          2   total   1.0   0.135929
+   material  group in  group out nuclide  mean  std. dev.
+3     10002         1          1   total   0.0        0.0
+2     10002         1          2   total   0.0        0.0
+1     10002         2          1   total   0.0        0.0
+0     10002         2          2   total   0.0        0.0
+   material  group out nuclide  mean  std. dev.
+1     10002          1   total   0.0        0.0
+0     10002          2   total   0.0        0.0
diff --git a/tests/test_mgxs_library_no_nuclides/test_mgxs_library_no_nuclides.py b/tests/test_mgxs_library_no_nuclides/test_mgxs_library_no_nuclides.py
index 2afa9039e8..2c0a2e278c 100644
--- a/tests/test_mgxs_library_no_nuclides/test_mgxs_library_no_nuclides.py
+++ b/tests/test_mgxs_library_no_nuclides/test_mgxs_library_no_nuclides.py
@@ -6,33 +6,35 @@ import glob
 import hashlib
 sys.path.insert(0, os.pardir)
 from testing_harness import PyAPITestHarness
+from input_set import PinCellInputSet
 import openmc
 import openmc.mgxs
 
 
 class MGXSTestHarness(PyAPITestHarness):
     def _build_inputs(self):
-
-        # The openmc.mgxs module needs a summary.h5 file
-        self._input_set.settings.output = {'summary': True}
+        # Set the input set to use the pincell model
+        self._input_set = PinCellInputSet()
 
         # Generate inputs using parent class routine
         super(MGXSTestHarness, self)._build_inputs()
 
         # Initialize a two-group structure
-        energy_groups = openmc.mgxs.EnergyGroups(group_edges=[0, 0.625e-6, 20.])
+        energy_groups = openmc.mgxs.EnergyGroups(group_edges=[0, 0.625e-6,
+                                                              20.])
 
         # Initialize MGXS Library for a few cross section types
-        self.mgxs_lib = openmc.mgxs.Library(self._input_set.geometry.geometry)
+        self.mgxs_lib = openmc.mgxs.Library(self._input_set.geometry)
         self.mgxs_lib.by_nuclide = False
-        self.mgxs_lib.mgxs_types = ['transport', 'nu-fission',
-                                    'nu-scatter matrix', 'chi']
+        # Test all MGXS types
+        self.mgxs_lib.mgxs_types = openmc.mgxs.MGXS_TYPES
         self.mgxs_lib.energy_groups = energy_groups
+        self.mgxs_lib.legendre_order = 3
         self.mgxs_lib.domain_type = 'material'
         self.mgxs_lib.build_library()
 
         # Initialize a tallies file
-        self._input_set.tallies = openmc.TalliesFile()
+        self._input_set.tallies = openmc.Tallies()
         self.mgxs_lib.add_to_tallies_file(self._input_set.tallies, merge=False)
         self._input_set.tallies.export_to_xml()
 
@@ -43,11 +45,6 @@ class MGXSTestHarness(PyAPITestHarness):
         statepoint = glob.glob(os.path.join(os.getcwd(), self._sp_name))[0]
         sp = openmc.StatePoint(statepoint)
 
-        # Read the summary file.
-        summary = glob.glob(os.path.join(os.getcwd(), 'summary.h5'))[0]
-        su = openmc.Summary(summary)
-        sp.link_with_summary(su)
-
         # Load the MGXS library from the statepoint
         self.mgxs_lib.load_from_statepoint(sp)
 
@@ -57,7 +54,7 @@ class MGXSTestHarness(PyAPITestHarness):
             for mgxs_type in self.mgxs_lib.mgxs_types:
                 mgxs = self.mgxs_lib.get_mgxs(domain, mgxs_type)
                 df = mgxs.get_pandas_dataframe()
-                outstr += df.to_string()
+                outstr += df.to_string() + '\n'
 
         # Hash the results if necessary
         if hash_output:
diff --git a/tests/test_mgxs_library_nuclides/inputs_true.dat b/tests/test_mgxs_library_nuclides/inputs_true.dat
index 2e299773a3..8dbb564c65 100644
--- a/tests/test_mgxs_library_nuclides/inputs_true.dat
+++ b/tests/test_mgxs_library_nuclides/inputs_true.dat
@@ -1 +1 @@
-7c1deb8a54fbe1a1ce6ef27cea4a11995210ad3e5ecf32bd83d7c80041edf0793378a7325ffe7ebf9c537e9c278fd4545642fec6c1e46b9c5418118f035d5e95
\ No newline at end of file
+eebb1469278f470b5859ed83e9b6526e7c4e3fed503bd22e414c6dc13b19b8e4cb6a44e3c14269e6e173f43056eda78268f455662ae119280bc18ea6a071dac7
\ No newline at end of file
diff --git a/tests/test_mgxs_library_nuclides/results_true.dat b/tests/test_mgxs_library_nuclides/results_true.dat
index 23ac0e423d..4f47bd417f 100644
--- a/tests/test_mgxs_library_nuclides/results_true.dat
+++ b/tests/test_mgxs_library_nuclides/results_true.dat
@@ -1,1971 +1 @@
-    material  group in  nuclide      mean  std. dev.
-34         1         1    U-234  0.000000   0.000000
-35         1         1    U-235  0.008559   0.001742
-36         1         1    U-236  0.002643   0.000794
-37         1         1    U-238  0.213622   0.010911
-38         1         1   Np-237  0.000000   0.000000
-39         1         1   Pu-238  0.000000   0.000000
-40         1         1   Pu-239  0.005787   0.001050
-41         1         1   Pu-240  0.005702   0.000850
-42         1         1   Pu-241  0.000869   0.000366
-43         1         1   Pu-242  0.000655   0.000537
-44         1         1   Am-241  0.000000   0.000000
-45         1         1  Am-242m  0.000000   0.000000
-46         1         1   Am-243  0.000000   0.000000
-47         1         1   Cm-242  0.000000   0.000000
-48         1         1   Cm-243  0.000000   0.000000
-49         1         1   Cm-244  0.000000   0.000000
-50         1         1   Cm-245  0.000000   0.000000
-51         1         1    Mo-95  0.000302   0.000216
-52         1         1    Tc-99  0.000782   0.000434
-53         1         1   Ru-101  0.000346   0.000212
-54         1         1   Ru-103  0.000000   0.000000
-55         1         1   Ag-109  0.000000   0.000000
-56         1         1   Xe-135  0.000000   0.000000
-57         1         1   Cs-133  0.000189   0.000264
-58         1         1   Nd-143  0.000721   0.000364
-59         1         1   Nd-145  0.000637   0.000253
-60         1         1   Sm-147  0.000009   0.000238
-61         1         1   Sm-149  0.000000   0.000000
-62         1         1   Sm-150  0.000003   0.000243
-63         1         1   Sm-151  0.000000   0.000000
-64         1         1   Sm-152  0.000874   0.000388
-65         1         1   Eu-153  0.000173   0.000173
-66         1         1   Gd-155  0.000000   0.000000
-67         1         1     O-16  0.142506   0.008222
-0          1         2    U-234  0.001948   0.001952
-1          1         2    U-235  0.179956   0.028209
-2          1         2    U-236  0.000000   0.000000
-3          1         2    U-238  0.239279   0.039048
-4          1         2   Np-237  0.000000   0.000000
-5          1         2   Pu-238  0.000000   0.000000
-6          1         2   Pu-239  0.159745   0.015751
-7          1         2   Pu-240  0.007792   0.003677
-8          1         2   Pu-241  0.017533   0.003806
-9          1         2   Pu-242  0.000000   0.000000
-10         1         2   Am-241  0.000000   0.000000
-11         1         2  Am-242m  0.000000   0.000000
-12         1         2   Am-243  0.000000   0.000000
-13         1         2   Cm-242  0.000000   0.000000
-14         1         2   Cm-243  0.000000   0.000000
-15         1         2   Cm-244  0.000000   0.000000
-16         1         2   Cm-245  0.000000   0.000000
-17         1         2    Mo-95  0.002250   0.004232
-18         1         2    Tc-99  0.003544   0.002528
-19         1         2   Ru-101  0.000000   0.000000
-20         1         2   Ru-103  0.000000   0.000000
-21         1         2   Ag-109  0.000000   0.000000
-22         1         2   Xe-135  0.027274   0.004025
-23         1         2   Cs-133  0.000000   0.000000
-24         1         2   Nd-143  0.006532   0.002517
-25         1         2   Nd-145  0.001948   0.001952
-26         1         2   Sm-147  0.000000   0.000000
-27         1         2   Sm-149  0.007792   0.005701
-28         1         2   Sm-150  0.000000   0.000000
-29         1         2   Sm-151  0.000000   0.000000
-30         1         2   Sm-152  0.000000   0.000000
-31         1         2   Eu-153  0.001686   0.001968
-32         1         2   Gd-155  0.000000   0.000000
-33         1         2     O-16  0.154807   0.023798    material  group in  nuclide          mean     std. dev.
-34         1         1    U-234  6.771527e-06  2.982583e-07
-35         1         1    U-235  9.687933e-03  4.305720e-04
-36         1         1    U-236  6.279974e-05  3.653120e-06
-37         1         1    U-238  6.335930e-03  4.715525e-04
-38         1         1   Np-237  1.237030e-05  6.333955e-07
-39         1         1   Pu-238  7.369063e-06  5.017525e-07
-40         1         1   Pu-239  4.007893e-03  2.607619e-04
-41         1         1   Pu-240  6.479096e-05  3.728060e-06
-42         1         1   Pu-241  1.074454e-03  4.688479e-05
-43         1         1   Pu-242  5.512610e-06  2.976651e-07
-44         1         1   Am-241  1.088373e-06  8.489934e-08
-45         1         1  Am-242m  1.143307e-06  9.912400e-08
-46         1         1   Am-243  7.745526e-07  5.413923e-08
-47         1         1   Cm-242  4.311566e-07  1.922427e-08
-48         1         1   Cm-243  2.363328e-07  2.235666e-08
-49         1         1   Cm-244  2.840125e-07  2.412051e-08
-50         1         1   Cm-245  3.017505e-07  1.594090e-08
-51         1         1    Mo-95  0.000000e+00  0.000000e+00
-52         1         1    Tc-99  0.000000e+00  0.000000e+00
-53         1         1   Ru-101  0.000000e+00  0.000000e+00
-54         1         1   Ru-103  0.000000e+00  0.000000e+00
-55         1         1   Ag-109  0.000000e+00  0.000000e+00
-56         1         1   Xe-135  0.000000e+00  0.000000e+00
-57         1         1   Cs-133  0.000000e+00  0.000000e+00
-58         1         1   Nd-143  0.000000e+00  0.000000e+00
-59         1         1   Nd-145  0.000000e+00  0.000000e+00
-60         1         1   Sm-147  0.000000e+00  0.000000e+00
-61         1         1   Sm-149  0.000000e+00  0.000000e+00
-62         1         1   Sm-150  0.000000e+00  0.000000e+00
-63         1         1   Sm-151  0.000000e+00  0.000000e+00
-64         1         1   Sm-152  0.000000e+00  0.000000e+00
-65         1         1   Eu-153  0.000000e+00  0.000000e+00
-66         1         1   Gd-155  0.000000e+00  0.000000e+00
-67         1         1     O-16  0.000000e+00  0.000000e+00
-0          1         2    U-234  4.267300e-07  3.529845e-08
-1          1         2    U-235  3.629246e-01  2.964548e-02
-2          1         2    U-236  5.921657e-06  4.881464e-07
-3          1         2    U-238  5.196256e-07  4.286610e-08
-4          1         2   Np-237  2.424211e-07  1.741823e-08
-5          1         2   Pu-238  3.255627e-05  2.692686e-06
-6          1         2   Pu-239  2.868384e-01  2.056896e-02
-7          1         2   Pu-240  4.398266e-06  3.658267e-07
-8          1         2   Pu-241  4.607239e-02  3.797176e-03
-9          1         2   Pu-242  8.451967e-08  6.979002e-09
-10         1         2   Am-241  4.678607e-06  3.253889e-07
-11         1         2  Am-242m  1.417675e-04  1.218350e-05
-12         1         2   Am-243  7.648834e-08  6.303843e-09
-13         1         2   Cm-242  9.433314e-07  7.794362e-08
-14         1         2   Cm-243  1.767995e-06  1.454123e-07
-15         1         2   Cm-244  1.533962e-07  1.266951e-08
-16         1         2   Cm-245  1.145063e-05  9.419051e-07
-17         1         2    Mo-95  0.000000e+00  0.000000e+00
-18         1         2    Tc-99  0.000000e+00  0.000000e+00
-19         1         2   Ru-101  0.000000e+00  0.000000e+00
-20         1         2   Ru-103  0.000000e+00  0.000000e+00
-21         1         2   Ag-109  0.000000e+00  0.000000e+00
-22         1         2   Xe-135  0.000000e+00  0.000000e+00
-23         1         2   Cs-133  0.000000e+00  0.000000e+00
-24         1         2   Nd-143  0.000000e+00  0.000000e+00
-25         1         2   Nd-145  0.000000e+00  0.000000e+00
-26         1         2   Sm-147  0.000000e+00  0.000000e+00
-27         1         2   Sm-149  0.000000e+00  0.000000e+00
-28         1         2   Sm-150  0.000000e+00  0.000000e+00
-29         1         2   Sm-151  0.000000e+00  0.000000e+00
-30         1         2   Sm-152  0.000000e+00  0.000000e+00
-31         1         2   Eu-153  0.000000e+00  0.000000e+00
-32         1         2   Gd-155  0.000000e+00  0.000000e+00
-33         1         2     O-16  0.000000e+00  0.000000e+00     material  group in  group out  nuclide      mean  std. dev.
-102         1         1          1    U-234  0.000000   0.000000
-103         1         1          1    U-235  0.002846   0.001185
-104         1         1          1    U-236  0.001951   0.000829
-105         1         1          1    U-238  0.197520   0.011618
-106         1         1          1   Np-237  0.000000   0.000000
-107         1         1          1   Pu-238  0.000000   0.000000
-108         1         1          1   Pu-239  0.001285   0.000461
-109         1         1          1   Pu-240  0.001027   0.000635
-110         1         1          1   Pu-241  0.000004   0.000242
-111         1         1          1   Pu-242  0.000481   0.000372
-112         1         1          1   Am-241  0.000000   0.000000
-113         1         1          1  Am-242m  0.000000   0.000000
-114         1         1          1   Am-243  0.000000   0.000000
-115         1         1          1   Cm-242  0.000000   0.000000
-116         1         1          1   Cm-243  0.000000   0.000000
-117         1         1          1   Cm-244  0.000000   0.000000
-118         1         1          1   Cm-245  0.000000   0.000000
-119         1         1          1    Mo-95  0.000302   0.000216
-120         1         1          1    Tc-99  0.000262   0.000195
-121         1         1          1   Ru-101  0.000000   0.000000
-122         1         1          1   Ru-103  0.000000   0.000000
-123         1         1          1   Ag-109  0.000000   0.000000
-124         1         1          1   Xe-135  0.000000   0.000000
-125         1         1          1   Cs-133  0.000016   0.000234
-126         1         1          1   Nd-143  0.000721   0.000364
-127         1         1          1   Nd-145  0.000463   0.000281
-128         1         1          1   Sm-147  0.000009   0.000238
-129         1         1          1   Sm-149  0.000000   0.000000
-130         1         1          1   Sm-150  0.000003   0.000243
-131         1         1          1   Sm-151  0.000000   0.000000
-132         1         1          1   Sm-152  0.000700   0.000424
-133         1         1          1   Eu-153  0.000000   0.000000
-134         1         1          1   Gd-155  0.000000   0.000000
-135         1         1          1     O-16  0.142333   0.008156
-68          1         1          2    U-234  0.000000   0.000000
-69          1         1          2    U-235  0.000000   0.000000
-70          1         1          2    U-236  0.000000   0.000000
-71          1         1          2    U-238  0.000000   0.000000
-72          1         1          2   Np-237  0.000000   0.000000
-73          1         1          2   Pu-238  0.000000   0.000000
-74          1         1          2   Pu-239  0.000000   0.000000
-75          1         1          2   Pu-240  0.000000   0.000000
-76          1         1          2   Pu-241  0.000000   0.000000
-77          1         1          2   Pu-242  0.000000   0.000000
-78          1         1          2   Am-241  0.000000   0.000000
-79          1         1          2  Am-242m  0.000000   0.000000
-80          1         1          2   Am-243  0.000000   0.000000
-81          1         1          2   Cm-242  0.000000   0.000000
-82          1         1          2   Cm-243  0.000000   0.000000
-83          1         1          2   Cm-244  0.000000   0.000000
-84          1         1          2   Cm-245  0.000000   0.000000
-85          1         1          2    Mo-95  0.000000   0.000000
-86          1         1          2    Tc-99  0.000000   0.000000
-87          1         1          2   Ru-101  0.000000   0.000000
-88          1         1          2   Ru-103  0.000000   0.000000
-89          1         1          2   Ag-109  0.000000   0.000000
-90          1         1          2   Xe-135  0.000000   0.000000
-91          1         1          2   Cs-133  0.000000   0.000000
-92          1         1          2   Nd-143  0.000000   0.000000
-93          1         1          2   Nd-145  0.000000   0.000000
-94          1         1          2   Sm-147  0.000000   0.000000
-95          1         1          2   Sm-149  0.000000   0.000000
-96          1         1          2   Sm-150  0.000000   0.000000
-97          1         1          2   Sm-151  0.000000   0.000000
-98          1         1          2   Sm-152  0.000000   0.000000
-99          1         1          2   Eu-153  0.000000   0.000000
-100         1         1          2   Gd-155  0.000000   0.000000
-101         1         1          2     O-16  0.000173   0.000173
-34          1         2          1    U-234  0.000000   0.000000
-35          1         2          1    U-235  0.000000   0.000000
-36          1         2          1    U-236  0.000000   0.000000
-37          1         2          1    U-238  0.000000   0.000000
-38          1         2          1   Np-237  0.000000   0.000000
-39          1         2          1   Pu-238  0.000000   0.000000
-40          1         2          1   Pu-239  0.000000   0.000000
-41          1         2          1   Pu-240  0.000000   0.000000
-42          1         2          1   Pu-241  0.000000   0.000000
-43          1         2          1   Pu-242  0.000000   0.000000
-44          1         2          1   Am-241  0.000000   0.000000
-45          1         2          1  Am-242m  0.000000   0.000000
-46          1         2          1   Am-243  0.000000   0.000000
-47          1         2          1   Cm-242  0.000000   0.000000
-48          1         2          1   Cm-243  0.000000   0.000000
-49          1         2          1   Cm-244  0.000000   0.000000
-50          1         2          1   Cm-245  0.000000   0.000000
-51          1         2          1    Mo-95  0.000000   0.000000
-52          1         2          1    Tc-99  0.000000   0.000000
-53          1         2          1   Ru-101  0.000000   0.000000
-54          1         2          1   Ru-103  0.000000   0.000000
-55          1         2          1   Ag-109  0.000000   0.000000
-56          1         2          1   Xe-135  0.000000   0.000000
-57          1         2          1   Cs-133  0.000000   0.000000
-58          1         2          1   Nd-143  0.000000   0.000000
-59          1         2          1   Nd-145  0.000000   0.000000
-60          1         2          1   Sm-147  0.000000   0.000000
-61          1         2          1   Sm-149  0.000000   0.000000
-62          1         2          1   Sm-150  0.000000   0.000000
-63          1         2          1   Sm-151  0.000000   0.000000
-64          1         2          1   Sm-152  0.000000   0.000000
-65          1         2          1   Eu-153  0.000000   0.000000
-66          1         2          1   Gd-155  0.000000   0.000000
-67          1         2          1     O-16  0.001948   0.001952
-0           1         2          2    U-234  0.000000   0.000000
-1           1         2          2    U-235  0.010470   0.006106
-2           1         2          2    U-236  0.000000   0.000000
-3           1         2          2    U-238  0.208109   0.039197
-4           1         2          2   Np-237  0.000000   0.000000
-5           1         2          2   Pu-238  0.000000   0.000000
-6           1         2          2   Pu-239  0.000000   0.000000
-7           1         2          2   Pu-240  0.000000   0.000000
-8           1         2          2   Pu-241  0.000000   0.000000
-9           1         2          2   Pu-242  0.000000   0.000000
-10          1         2          2   Am-241  0.000000   0.000000
-11          1         2          2  Am-242m  0.000000   0.000000
-12          1         2          2   Am-243  0.000000   0.000000
-13          1         2          2   Cm-242  0.000000   0.000000
-14          1         2          2   Cm-243  0.000000   0.000000
-15          1         2          2   Cm-244  0.000000   0.000000
-16          1         2          2   Cm-245  0.000000   0.000000
-17          1         2          2    Mo-95  0.000302   0.002551
-18          1         2          2    Tc-99  0.003544   0.002528
-19          1         2          2   Ru-101  0.000000   0.000000
-20          1         2          2   Ru-103  0.000000   0.000000
-21          1         2          2   Ag-109  0.000000   0.000000
-22          1         2          2   Xe-135  0.000000   0.000000
-23          1         2          2   Cs-133  0.000000   0.000000
-24          1         2          2   Nd-143  0.002636   0.002073
-25          1         2          2   Nd-145  0.000000   0.000000
-26          1         2          2   Sm-147  0.000000   0.000000
-27          1         2          2   Sm-149  0.000000   0.000000
-28          1         2          2   Sm-150  0.000000   0.000000
-29          1         2          2   Sm-151  0.000000   0.000000
-30          1         2          2   Sm-152  0.000000   0.000000
-31          1         2          2   Eu-153  0.001686   0.001968
-32          1         2          2   Gd-155  0.000000   0.000000
-33          1         2          2     O-16  0.152859   0.022894    material  group out  nuclide  mean  std. dev.
-34         1          1    U-234     0   0.000000
-35         1          1    U-235     1   0.127079
-36         1          1    U-236     0   0.000000
-37         1          1    U-238     1   0.153215
-38         1          1   Np-237     0   0.000000
-39         1          1   Pu-238     0   0.000000
-40         1          1   Pu-239     1   0.150979
-41         1          1   Pu-240     0   0.000000
-42         1          1   Pu-241     1   0.203534
-43         1          1   Pu-242     0   0.000000
-44         1          1   Am-241     0   0.000000
-45         1          1  Am-242m     0   0.000000
-46         1          1   Am-243     0   0.000000
-47         1          1   Cm-242     0   0.000000
-48         1          1   Cm-243     0   0.000000
-49         1          1   Cm-244     0   0.000000
-50         1          1   Cm-245     0   0.000000
-51         1          1    Mo-95     0   0.000000
-52         1          1    Tc-99     0   0.000000
-53         1          1   Ru-101     0   0.000000
-54         1          1   Ru-103     0   0.000000
-55         1          1   Ag-109     0   0.000000
-56         1          1   Xe-135     0   0.000000
-57         1          1   Cs-133     0   0.000000
-58         1          1   Nd-143     0   0.000000
-59         1          1   Nd-145     0   0.000000
-60         1          1   Sm-147     0   0.000000
-61         1          1   Sm-149     0   0.000000
-62         1          1   Sm-150     0   0.000000
-63         1          1   Sm-151     0   0.000000
-64         1          1   Sm-152     0   0.000000
-65         1          1   Eu-153     0   0.000000
-66         1          1   Gd-155     0   0.000000
-67         1          1     O-16     0   0.000000
-0          1          2    U-234     0   0.000000
-1          1          2    U-235     0   0.000000
-2          1          2    U-236     0   0.000000
-3          1          2    U-238     0   0.000000
-4          1          2   Np-237     0   0.000000
-5          1          2   Pu-238     0   0.000000
-6          1          2   Pu-239     0   0.000000
-7          1          2   Pu-240     0   0.000000
-8          1          2   Pu-241     0   0.000000
-9          1          2   Pu-242     0   0.000000
-10         1          2   Am-241     0   0.000000
-11         1          2  Am-242m     0   0.000000
-12         1          2   Am-243     0   0.000000
-13         1          2   Cm-242     0   0.000000
-14         1          2   Cm-243     0   0.000000
-15         1          2   Cm-244     0   0.000000
-16         1          2   Cm-245     0   0.000000
-17         1          2    Mo-95     0   0.000000
-18         1          2    Tc-99     0   0.000000
-19         1          2   Ru-101     0   0.000000
-20         1          2   Ru-103     0   0.000000
-21         1          2   Ag-109     0   0.000000
-22         1          2   Xe-135     0   0.000000
-23         1          2   Cs-133     0   0.000000
-24         1          2   Nd-143     0   0.000000
-25         1          2   Nd-145     0   0.000000
-26         1          2   Sm-147     0   0.000000
-27         1          2   Sm-149     0   0.000000
-28         1          2   Sm-150     0   0.000000
-29         1          2   Sm-151     0   0.000000
-30         1          2   Sm-152     0   0.000000
-31         1          2   Eu-153     0   0.000000
-32         1          2   Gd-155     0   0.000000
-33         1          2     O-16     0   0.000000   material  group in nuclide      mean  std. dev.
-5         2         1   Zr-90  0.118578   0.008347
-6         2         1   Zr-91  0.040887   0.002988
-7         2         1   Zr-92  0.033882   0.004365
-8         2         1   Zr-94  0.046281   0.005422
-9         2         1   Zr-96  0.005415   0.002113
-0         2         2   Zr-90  0.122479   0.032627
-1         2         2   Zr-91  0.035669   0.009683
-2         2         2   Zr-92  0.049331   0.021936
-3         2         2   Zr-94  0.058978   0.020081
-4         2         2   Zr-96  0.000000   0.000000   material  group in nuclide  mean  std. dev.
-5         2         1   Zr-90     0          0
-6         2         1   Zr-91     0          0
-7         2         1   Zr-92     0          0
-8         2         1   Zr-94     0          0
-9         2         1   Zr-96     0          0
-0         2         2   Zr-90     0          0
-1         2         2   Zr-91     0          0
-2         2         2   Zr-92     0          0
-3         2         2   Zr-94     0          0
-4         2         2   Zr-96     0          0    material  group in  group out nuclide      mean  std. dev.
-15         2         1          1   Zr-90  0.118578   0.008347
-16         2         1          1   Zr-91  0.039963   0.003053
-17         2         1          1   Zr-92  0.033882   0.004365
-18         2         1          1   Zr-94  0.046281   0.005422
-19         2         1          1   Zr-96  0.004953   0.002087
-10         2         1          2   Zr-90  0.000000   0.000000
-11         2         1          2   Zr-91  0.000000   0.000000
-12         2         1          2   Zr-92  0.000000   0.000000
-13         2         1          2   Zr-94  0.000000   0.000000
-14         2         1          2   Zr-96  0.000000   0.000000
-5          2         2          1   Zr-90  0.000000   0.000000
-6          2         2          1   Zr-91  0.000000   0.000000
-7          2         2          1   Zr-92  0.000000   0.000000
-8          2         2          1   Zr-94  0.000000   0.000000
-9          2         2          1   Zr-96  0.000000   0.000000
-0          2         2          2   Zr-90  0.122479   0.032627
-1          2         2          2   Zr-91  0.023998   0.011915
-2          2         2          2   Zr-92  0.049331   0.021936
-3          2         2          2   Zr-94  0.058978   0.020081
-4          2         2          2   Zr-96  0.000000   0.000000   material  group out nuclide  mean  std. dev.
-5         2          1   Zr-90     0          0
-6         2          1   Zr-91     0          0
-7         2          1   Zr-92     0          0
-8         2          1   Zr-94     0          0
-9         2          1   Zr-96     0          0
-0         2          2   Zr-90     0          0
-1         2          2   Zr-91     0          0
-2         2          2   Zr-92     0          0
-3         2          2   Zr-94     0          0
-4         2          2   Zr-96     0          0   material  group in nuclide      mean  std. dev.
-4         3         1     H-1  0.206179   0.034791
-5         3         1    O-16  0.075190   0.004750
-6         3         1    B-10  0.000741   0.000470
-7         3         1    B-11  0.000167   0.000208
-0         3         2     H-1  1.323003   0.239067
-1         3         2    O-16  0.071243   0.013291
-2         3         2    B-10  0.033075   0.004283
-3         3         2    B-11  0.000000   0.000000   material  group in nuclide  mean  std. dev.
-4         3         1     H-1     0          0
-5         3         1    O-16     0          0
-6         3         1    B-10     0          0
-7         3         1    B-11     0          0
-0         3         2     H-1     0          0
-1         3         2    O-16     0          0
-2         3         2    B-10     0          0
-3         3         2    B-11     0          0    material  group in  group out nuclide      mean  std. dev.
-12         3         1          1     H-1  0.178758   0.033618
-13         3         1          1    O-16  0.075042   0.004782
-14         3         1          1    B-10  0.000000   0.000000
-15         3         1          1    B-11  0.000167   0.000208
-8          3         1          2     H-1  0.027124   0.001806
-9          3         1          2    O-16  0.000148   0.000148
-10         3         1          2    B-10  0.000000   0.000000
-11         3         1          2    B-11  0.000000   0.000000
-4          3         2          1     H-1  0.000000   0.000000
-5          3         2          1    O-16  0.000000   0.000000
-6          3         2          1    B-10  0.000000   0.000000
-7          3         2          1    B-11  0.000000   0.000000
-0          3         2          2     H-1  1.305284   0.235145
-1          3         2          2    O-16  0.071243   0.013291
-2          3         2          2    B-10  0.000000   0.000000
-3          3         2          2    B-11  0.000000   0.000000   material  group out nuclide  mean  std. dev.
-4         3          1     H-1     0          0
-5         3          1    O-16     0          0
-6         3          1    B-10     0          0
-7         3          1    B-11     0          0
-0         3          2     H-1     0          0
-1         3          2    O-16     0          0
-2         3          2    B-10     0          0
-3         3          2    B-11     0          0   material  group in nuclide      mean  std. dev.
-4         4         1     H-1  0.188813   0.045599
-5         4         1    O-16  0.066636   0.008217
-6         4         1    B-10  0.000232   0.000233
-7         4         1    B-11  0.000042   0.000300
-0         4         2     H-1  1.088920   0.221595
-1         4         2    O-16  0.064481   0.014318
-2         4         2    B-10  0.026367   0.010478
-3         4         2    B-11  0.000000   0.000000   material  group in nuclide  mean  std. dev.
-4         4         1     H-1     0          0
-5         4         1    O-16     0          0
-6         4         1    B-10     0          0
-7         4         1    B-11     0          0
-0         4         2     H-1     0          0
-1         4         2    O-16     0          0
-2         4         2    B-10     0          0
-3         4         2    B-11     0          0    material  group in  group out nuclide      mean  std. dev.
-12         4         1          1     H-1  0.166764   0.043861
-13         4         1          1    O-16  0.066172   0.007943
-14         4         1          1    B-10  0.000000   0.000000
-15         4         1          1    B-11  0.000042   0.000300
-8          4         1          2     H-1  0.021817   0.002327
-9          4         1          2    O-16  0.000464   0.000466
-10         4         1          2    B-10  0.000000   0.000000
-11         4         1          2    B-11  0.000000   0.000000
-4          4         2          1     H-1  0.000000   0.000000
-5          4         2          1    O-16  0.000000   0.000000
-6          4         2          1    B-10  0.000000   0.000000
-7          4         2          1    B-11  0.000000   0.000000
-0          4         2          2     H-1  1.082328   0.222438
-1          4         2          2    O-16  0.064481   0.014318
-2          4         2          2    B-10  0.000000   0.000000
-3          4         2          2    B-11  0.000000   0.000000   material  group out nuclide  mean  std. dev.
-4         4          1     H-1     0          0
-5         4          1    O-16     0          0
-6         4          1    B-10     0          0
-7         4          1    B-11     0          0
-0         4          2     H-1     0          0
-1         4          2    O-16     0          0
-2         4          2    B-10     0          0
-3         4          2    B-11     0          0    material  group in nuclide  mean  std. dev.
-27         5         1   Fe-54     0          0
-28         5         1   Fe-56     0          0
-29         5         1   Fe-57     0          0
-30         5         1   Fe-58     0          0
-31         5         1   Ni-58     0          0
-32         5         1   Ni-60     0          0
-33         5         1   Ni-61     0          0
-34         5         1   Ni-62     0          0
-35         5         1   Ni-64     0          0
-36         5         1   Mn-55     0          0
-37         5         1   Mo-92     0          0
-38         5         1   Mo-94     0          0
-39         5         1   Mo-95     0          0
-40         5         1   Mo-96     0          0
-41         5         1   Mo-97     0          0
-42         5         1   Mo-98     0          0
-43         5         1  Mo-100     0          0
-44         5         1   Si-28     0          0
-45         5         1   Si-29     0          0
-46         5         1   Si-30     0          0
-47         5         1   Cr-50     0          0
-48         5         1   Cr-52     0          0
-49         5         1   Cr-53     0          0
-50         5         1   Cr-54     0          0
-51         5         1   C-Nat     0          0
-52         5         1   Cu-63     0          0
-53         5         1   Cu-65     0          0
-0          5         2   Fe-54     0          0
-1          5         2   Fe-56     0          0
-2          5         2   Fe-57     0          0
-3          5         2   Fe-58     0          0
-4          5         2   Ni-58     0          0
-5          5         2   Ni-60     0          0
-6          5         2   Ni-61     0          0
-7          5         2   Ni-62     0          0
-8          5         2   Ni-64     0          0
-9          5         2   Mn-55     0          0
-10         5         2   Mo-92     0          0
-11         5         2   Mo-94     0          0
-12         5         2   Mo-95     0          0
-13         5         2   Mo-96     0          0
-14         5         2   Mo-97     0          0
-15         5         2   Mo-98     0          0
-16         5         2  Mo-100     0          0
-17         5         2   Si-28     0          0
-18         5         2   Si-29     0          0
-19         5         2   Si-30     0          0
-20         5         2   Cr-50     0          0
-21         5         2   Cr-52     0          0
-22         5         2   Cr-53     0          0
-23         5         2   Cr-54     0          0
-24         5         2   C-Nat     0          0
-25         5         2   Cu-63     0          0
-26         5         2   Cu-65     0          0    material  group in nuclide  mean  std. dev.
-27         5         1   Fe-54     0          0
-28         5         1   Fe-56     0          0
-29         5         1   Fe-57     0          0
-30         5         1   Fe-58     0          0
-31         5         1   Ni-58     0          0
-32         5         1   Ni-60     0          0
-33         5         1   Ni-61     0          0
-34         5         1   Ni-62     0          0
-35         5         1   Ni-64     0          0
-36         5         1   Mn-55     0          0
-37         5         1   Mo-92     0          0
-38         5         1   Mo-94     0          0
-39         5         1   Mo-95     0          0
-40         5         1   Mo-96     0          0
-41         5         1   Mo-97     0          0
-42         5         1   Mo-98     0          0
-43         5         1  Mo-100     0          0
-44         5         1   Si-28     0          0
-45         5         1   Si-29     0          0
-46         5         1   Si-30     0          0
-47         5         1   Cr-50     0          0
-48         5         1   Cr-52     0          0
-49         5         1   Cr-53     0          0
-50         5         1   Cr-54     0          0
-51         5         1   C-Nat     0          0
-52         5         1   Cu-63     0          0
-53         5         1   Cu-65     0          0
-0          5         2   Fe-54     0          0
-1          5         2   Fe-56     0          0
-2          5         2   Fe-57     0          0
-3          5         2   Fe-58     0          0
-4          5         2   Ni-58     0          0
-5          5         2   Ni-60     0          0
-6          5         2   Ni-61     0          0
-7          5         2   Ni-62     0          0
-8          5         2   Ni-64     0          0
-9          5         2   Mn-55     0          0
-10         5         2   Mo-92     0          0
-11         5         2   Mo-94     0          0
-12         5         2   Mo-95     0          0
-13         5         2   Mo-96     0          0
-14         5         2   Mo-97     0          0
-15         5         2   Mo-98     0          0
-16         5         2  Mo-100     0          0
-17         5         2   Si-28     0          0
-18         5         2   Si-29     0          0
-19         5         2   Si-30     0          0
-20         5         2   Cr-50     0          0
-21         5         2   Cr-52     0          0
-22         5         2   Cr-53     0          0
-23         5         2   Cr-54     0          0
-24         5         2   C-Nat     0          0
-25         5         2   Cu-63     0          0
-26         5         2   Cu-65     0          0     material  group in  group out nuclide  mean  std. dev.
-81          5         1          1   Fe-54     0          0
-82          5         1          1   Fe-56     0          0
-83          5         1          1   Fe-57     0          0
-84          5         1          1   Fe-58     0          0
-85          5         1          1   Ni-58     0          0
-86          5         1          1   Ni-60     0          0
-87          5         1          1   Ni-61     0          0
-88          5         1          1   Ni-62     0          0
-89          5         1          1   Ni-64     0          0
-90          5         1          1   Mn-55     0          0
-91          5         1          1   Mo-92     0          0
-92          5         1          1   Mo-94     0          0
-93          5         1          1   Mo-95     0          0
-94          5         1          1   Mo-96     0          0
-95          5         1          1   Mo-97     0          0
-96          5         1          1   Mo-98     0          0
-97          5         1          1  Mo-100     0          0
-98          5         1          1   Si-28     0          0
-99          5         1          1   Si-29     0          0
-100         5         1          1   Si-30     0          0
-101         5         1          1   Cr-50     0          0
-102         5         1          1   Cr-52     0          0
-103         5         1          1   Cr-53     0          0
-104         5         1          1   Cr-54     0          0
-105         5         1          1   C-Nat     0          0
-106         5         1          1   Cu-63     0          0
-107         5         1          1   Cu-65     0          0
-54          5         1          2   Fe-54     0          0
-55          5         1          2   Fe-56     0          0
-56          5         1          2   Fe-57     0          0
-57          5         1          2   Fe-58     0          0
-58          5         1          2   Ni-58     0          0
-59          5         1          2   Ni-60     0          0
-60          5         1          2   Ni-61     0          0
-61          5         1          2   Ni-62     0          0
-62          5         1          2   Ni-64     0          0
-63          5         1          2   Mn-55     0          0
-64          5         1          2   Mo-92     0          0
-65          5         1          2   Mo-94     0          0
-66          5         1          2   Mo-95     0          0
-67          5         1          2   Mo-96     0          0
-68          5         1          2   Mo-97     0          0
-69          5         1          2   Mo-98     0          0
-70          5         1          2  Mo-100     0          0
-71          5         1          2   Si-28     0          0
-72          5         1          2   Si-29     0          0
-73          5         1          2   Si-30     0          0
-74          5         1          2   Cr-50     0          0
-75          5         1          2   Cr-52     0          0
-76          5         1          2   Cr-53     0          0
-77          5         1          2   Cr-54     0          0
-78          5         1          2   C-Nat     0          0
-79          5         1          2   Cu-63     0          0
-80          5         1          2   Cu-65     0          0
-27          5         2          1   Fe-54     0          0
-28          5         2          1   Fe-56     0          0
-29          5         2          1   Fe-57     0          0
-30          5         2          1   Fe-58     0          0
-31          5         2          1   Ni-58     0          0
-32          5         2          1   Ni-60     0          0
-33          5         2          1   Ni-61     0          0
-34          5         2          1   Ni-62     0          0
-35          5         2          1   Ni-64     0          0
-36          5         2          1   Mn-55     0          0
-37          5         2          1   Mo-92     0          0
-38          5         2          1   Mo-94     0          0
-39          5         2          1   Mo-95     0          0
-40          5         2          1   Mo-96     0          0
-41          5         2          1   Mo-97     0          0
-42          5         2          1   Mo-98     0          0
-43          5         2          1  Mo-100     0          0
-44          5         2          1   Si-28     0          0
-45          5         2          1   Si-29     0          0
-46          5         2          1   Si-30     0          0
-47          5         2          1   Cr-50     0          0
-48          5         2          1   Cr-52     0          0
-49          5         2          1   Cr-53     0          0
-50          5         2          1   Cr-54     0          0
-51          5         2          1   C-Nat     0          0
-52          5         2          1   Cu-63     0          0
-53          5         2          1   Cu-65     0          0
-0           5         2          2   Fe-54     0          0
-1           5         2          2   Fe-56     0          0
-2           5         2          2   Fe-57     0          0
-3           5         2          2   Fe-58     0          0
-4           5         2          2   Ni-58     0          0
-5           5         2          2   Ni-60     0          0
-6           5         2          2   Ni-61     0          0
-7           5         2          2   Ni-62     0          0
-8           5         2          2   Ni-64     0          0
-9           5         2          2   Mn-55     0          0
-10          5         2          2   Mo-92     0          0
-11          5         2          2   Mo-94     0          0
-12          5         2          2   Mo-95     0          0
-13          5         2          2   Mo-96     0          0
-14          5         2          2   Mo-97     0          0
-15          5         2          2   Mo-98     0          0
-16          5         2          2  Mo-100     0          0
-17          5         2          2   Si-28     0          0
-18          5         2          2   Si-29     0          0
-19          5         2          2   Si-30     0          0
-20          5         2          2   Cr-50     0          0
-21          5         2          2   Cr-52     0          0
-22          5         2          2   Cr-53     0          0
-23          5         2          2   Cr-54     0          0
-24          5         2          2   C-Nat     0          0
-25          5         2          2   Cu-63     0          0
-26          5         2          2   Cu-65     0          0    material  group out nuclide  mean  std. dev.
-27         5          1   Fe-54     0          0
-28         5          1   Fe-56     0          0
-29         5          1   Fe-57     0          0
-30         5          1   Fe-58     0          0
-31         5          1   Ni-58     0          0
-32         5          1   Ni-60     0          0
-33         5          1   Ni-61     0          0
-34         5          1   Ni-62     0          0
-35         5          1   Ni-64     0          0
-36         5          1   Mn-55     0          0
-37         5          1   Mo-92     0          0
-38         5          1   Mo-94     0          0
-39         5          1   Mo-95     0          0
-40         5          1   Mo-96     0          0
-41         5          1   Mo-97     0          0
-42         5          1   Mo-98     0          0
-43         5          1  Mo-100     0          0
-44         5          1   Si-28     0          0
-45         5          1   Si-29     0          0
-46         5          1   Si-30     0          0
-47         5          1   Cr-50     0          0
-48         5          1   Cr-52     0          0
-49         5          1   Cr-53     0          0
-50         5          1   Cr-54     0          0
-51         5          1   C-Nat     0          0
-52         5          1   Cu-63     0          0
-53         5          1   Cu-65     0          0
-0          5          2   Fe-54     0          0
-1          5          2   Fe-56     0          0
-2          5          2   Fe-57     0          0
-3          5          2   Fe-58     0          0
-4          5          2   Ni-58     0          0
-5          5          2   Ni-60     0          0
-6          5          2   Ni-61     0          0
-7          5          2   Ni-62     0          0
-8          5          2   Ni-64     0          0
-9          5          2   Mn-55     0          0
-10         5          2   Mo-92     0          0
-11         5          2   Mo-94     0          0
-12         5          2   Mo-95     0          0
-13         5          2   Mo-96     0          0
-14         5          2   Mo-97     0          0
-15         5          2   Mo-98     0          0
-16         5          2  Mo-100     0          0
-17         5          2   Si-28     0          0
-18         5          2   Si-29     0          0
-19         5          2   Si-30     0          0
-20         5          2   Cr-50     0          0
-21         5          2   Cr-52     0          0
-22         5          2   Cr-53     0          0
-23         5          2   Cr-54     0          0
-24         5          2   C-Nat     0          0
-25         5          2   Cu-63     0          0
-26         5          2   Cu-65     0          0    material  group in nuclide  mean  std. dev.
-21         6         1     H-1     0          0
-22         6         1    O-16     0          0
-23         6         1    B-10     0          0
-24         6         1    B-11     0          0
-25         6         1   Fe-54     0          0
-26         6         1   Fe-56     0          0
-27         6         1   Fe-57     0          0
-28         6         1   Fe-58     0          0
-29         6         1   Ni-58     0          0
-30         6         1   Ni-60     0          0
-31         6         1   Ni-61     0          0
-32         6         1   Ni-62     0          0
-33         6         1   Ni-64     0          0
-34         6         1   Mn-55     0          0
-35         6         1   Si-28     0          0
-36         6         1   Si-29     0          0
-37         6         1   Si-30     0          0
-38         6         1   Cr-50     0          0
-39         6         1   Cr-52     0          0
-40         6         1   Cr-53     0          0
-41         6         1   Cr-54     0          0
-0          6         2     H-1     0          0
-1          6         2    O-16     0          0
-2          6         2    B-10     0          0
-3          6         2    B-11     0          0
-4          6         2   Fe-54     0          0
-5          6         2   Fe-56     0          0
-6          6         2   Fe-57     0          0
-7          6         2   Fe-58     0          0
-8          6         2   Ni-58     0          0
-9          6         2   Ni-60     0          0
-10         6         2   Ni-61     0          0
-11         6         2   Ni-62     0          0
-12         6         2   Ni-64     0          0
-13         6         2   Mn-55     0          0
-14         6         2   Si-28     0          0
-15         6         2   Si-29     0          0
-16         6         2   Si-30     0          0
-17         6         2   Cr-50     0          0
-18         6         2   Cr-52     0          0
-19         6         2   Cr-53     0          0
-20         6         2   Cr-54     0          0    material  group in nuclide  mean  std. dev.
-21         6         1     H-1     0          0
-22         6         1    O-16     0          0
-23         6         1    B-10     0          0
-24         6         1    B-11     0          0
-25         6         1   Fe-54     0          0
-26         6         1   Fe-56     0          0
-27         6         1   Fe-57     0          0
-28         6         1   Fe-58     0          0
-29         6         1   Ni-58     0          0
-30         6         1   Ni-60     0          0
-31         6         1   Ni-61     0          0
-32         6         1   Ni-62     0          0
-33         6         1   Ni-64     0          0
-34         6         1   Mn-55     0          0
-35         6         1   Si-28     0          0
-36         6         1   Si-29     0          0
-37         6         1   Si-30     0          0
-38         6         1   Cr-50     0          0
-39         6         1   Cr-52     0          0
-40         6         1   Cr-53     0          0
-41         6         1   Cr-54     0          0
-0          6         2     H-1     0          0
-1          6         2    O-16     0          0
-2          6         2    B-10     0          0
-3          6         2    B-11     0          0
-4          6         2   Fe-54     0          0
-5          6         2   Fe-56     0          0
-6          6         2   Fe-57     0          0
-7          6         2   Fe-58     0          0
-8          6         2   Ni-58     0          0
-9          6         2   Ni-60     0          0
-10         6         2   Ni-61     0          0
-11         6         2   Ni-62     0          0
-12         6         2   Ni-64     0          0
-13         6         2   Mn-55     0          0
-14         6         2   Si-28     0          0
-15         6         2   Si-29     0          0
-16         6         2   Si-30     0          0
-17         6         2   Cr-50     0          0
-18         6         2   Cr-52     0          0
-19         6         2   Cr-53     0          0
-20         6         2   Cr-54     0          0    material  group in  group out nuclide  mean  std. dev.
-63         6         1          1     H-1     0          0
-64         6         1          1    O-16     0          0
-65         6         1          1    B-10     0          0
-66         6         1          1    B-11     0          0
-67         6         1          1   Fe-54     0          0
-68         6         1          1   Fe-56     0          0
-69         6         1          1   Fe-57     0          0
-70         6         1          1   Fe-58     0          0
-71         6         1          1   Ni-58     0          0
-72         6         1          1   Ni-60     0          0
-73         6         1          1   Ni-61     0          0
-74         6         1          1   Ni-62     0          0
-75         6         1          1   Ni-64     0          0
-76         6         1          1   Mn-55     0          0
-77         6         1          1   Si-28     0          0
-78         6         1          1   Si-29     0          0
-79         6         1          1   Si-30     0          0
-80         6         1          1   Cr-50     0          0
-81         6         1          1   Cr-52     0          0
-82         6         1          1   Cr-53     0          0
-83         6         1          1   Cr-54     0          0
-42         6         1          2     H-1     0          0
-43         6         1          2    O-16     0          0
-44         6         1          2    B-10     0          0
-45         6         1          2    B-11     0          0
-46         6         1          2   Fe-54     0          0
-47         6         1          2   Fe-56     0          0
-48         6         1          2   Fe-57     0          0
-49         6         1          2   Fe-58     0          0
-50         6         1          2   Ni-58     0          0
-51         6         1          2   Ni-60     0          0
-52         6         1          2   Ni-61     0          0
-53         6         1          2   Ni-62     0          0
-54         6         1          2   Ni-64     0          0
-55         6         1          2   Mn-55     0          0
-56         6         1          2   Si-28     0          0
-57         6         1          2   Si-29     0          0
-58         6         1          2   Si-30     0          0
-59         6         1          2   Cr-50     0          0
-60         6         1          2   Cr-52     0          0
-61         6         1          2   Cr-53     0          0
-62         6         1          2   Cr-54     0          0
-21         6         2          1     H-1     0          0
-22         6         2          1    O-16     0          0
-23         6         2          1    B-10     0          0
-24         6         2          1    B-11     0          0
-25         6         2          1   Fe-54     0          0
-26         6         2          1   Fe-56     0          0
-27         6         2          1   Fe-57     0          0
-28         6         2          1   Fe-58     0          0
-29         6         2          1   Ni-58     0          0
-30         6         2          1   Ni-60     0          0
-31         6         2          1   Ni-61     0          0
-32         6         2          1   Ni-62     0          0
-33         6         2          1   Ni-64     0          0
-34         6         2          1   Mn-55     0          0
-35         6         2          1   Si-28     0          0
-36         6         2          1   Si-29     0          0
-37         6         2          1   Si-30     0          0
-38         6         2          1   Cr-50     0          0
-39         6         2          1   Cr-52     0          0
-40         6         2          1   Cr-53     0          0
-41         6         2          1   Cr-54     0          0
-0          6         2          2     H-1     0          0
-1          6         2          2    O-16     0          0
-2          6         2          2    B-10     0          0
-3          6         2          2    B-11     0          0
-4          6         2          2   Fe-54     0          0
-5          6         2          2   Fe-56     0          0
-6          6         2          2   Fe-57     0          0
-7          6         2          2   Fe-58     0          0
-8          6         2          2   Ni-58     0          0
-9          6         2          2   Ni-60     0          0
-10         6         2          2   Ni-61     0          0
-11         6         2          2   Ni-62     0          0
-12         6         2          2   Ni-64     0          0
-13         6         2          2   Mn-55     0          0
-14         6         2          2   Si-28     0          0
-15         6         2          2   Si-29     0          0
-16         6         2          2   Si-30     0          0
-17         6         2          2   Cr-50     0          0
-18         6         2          2   Cr-52     0          0
-19         6         2          2   Cr-53     0          0
-20         6         2          2   Cr-54     0          0    material  group out nuclide  mean  std. dev.
-21         6          1     H-1     0          0
-22         6          1    O-16     0          0
-23         6          1    B-10     0          0
-24         6          1    B-11     0          0
-25         6          1   Fe-54     0          0
-26         6          1   Fe-56     0          0
-27         6          1   Fe-57     0          0
-28         6          1   Fe-58     0          0
-29         6          1   Ni-58     0          0
-30         6          1   Ni-60     0          0
-31         6          1   Ni-61     0          0
-32         6          1   Ni-62     0          0
-33         6          1   Ni-64     0          0
-34         6          1   Mn-55     0          0
-35         6          1   Si-28     0          0
-36         6          1   Si-29     0          0
-37         6          1   Si-30     0          0
-38         6          1   Cr-50     0          0
-39         6          1   Cr-52     0          0
-40         6          1   Cr-53     0          0
-41         6          1   Cr-54     0          0
-0          6          2     H-1     0          0
-1          6          2    O-16     0          0
-2          6          2    B-10     0          0
-3          6          2    B-11     0          0
-4          6          2   Fe-54     0          0
-5          6          2   Fe-56     0          0
-6          6          2   Fe-57     0          0
-7          6          2   Fe-58     0          0
-8          6          2   Ni-58     0          0
-9          6          2   Ni-60     0          0
-10         6          2   Ni-61     0          0
-11         6          2   Ni-62     0          0
-12         6          2   Ni-64     0          0
-13         6          2   Mn-55     0          0
-14         6          2   Si-28     0          0
-15         6          2   Si-29     0          0
-16         6          2   Si-30     0          0
-17         6          2   Cr-50     0          0
-18         6          2   Cr-52     0          0
-19         6          2   Cr-53     0          0
-20         6          2   Cr-54     0          0    material  group in nuclide  mean  std. dev.
-21         7         1     H-1     0          0
-22         7         1    O-16     0          0
-23         7         1    B-10     0          0
-24         7         1    B-11     0          0
-25         7         1   Fe-54     0          0
-26         7         1   Fe-56     0          0
-27         7         1   Fe-57     0          0
-28         7         1   Fe-58     0          0
-29         7         1   Ni-58     0          0
-30         7         1   Ni-60     0          0
-31         7         1   Ni-61     0          0
-32         7         1   Ni-62     0          0
-33         7         1   Ni-64     0          0
-34         7         1   Mn-55     0          0
-35         7         1   Si-28     0          0
-36         7         1   Si-29     0          0
-37         7         1   Si-30     0          0
-38         7         1   Cr-50     0          0
-39         7         1   Cr-52     0          0
-40         7         1   Cr-53     0          0
-41         7         1   Cr-54     0          0
-0          7         2     H-1     0          0
-1          7         2    O-16     0          0
-2          7         2    B-10     0          0
-3          7         2    B-11     0          0
-4          7         2   Fe-54     0          0
-5          7         2   Fe-56     0          0
-6          7         2   Fe-57     0          0
-7          7         2   Fe-58     0          0
-8          7         2   Ni-58     0          0
-9          7         2   Ni-60     0          0
-10         7         2   Ni-61     0          0
-11         7         2   Ni-62     0          0
-12         7         2   Ni-64     0          0
-13         7         2   Mn-55     0          0
-14         7         2   Si-28     0          0
-15         7         2   Si-29     0          0
-16         7         2   Si-30     0          0
-17         7         2   Cr-50     0          0
-18         7         2   Cr-52     0          0
-19         7         2   Cr-53     0          0
-20         7         2   Cr-54     0          0    material  group in nuclide  mean  std. dev.
-21         7         1     H-1     0          0
-22         7         1    O-16     0          0
-23         7         1    B-10     0          0
-24         7         1    B-11     0          0
-25         7         1   Fe-54     0          0
-26         7         1   Fe-56     0          0
-27         7         1   Fe-57     0          0
-28         7         1   Fe-58     0          0
-29         7         1   Ni-58     0          0
-30         7         1   Ni-60     0          0
-31         7         1   Ni-61     0          0
-32         7         1   Ni-62     0          0
-33         7         1   Ni-64     0          0
-34         7         1   Mn-55     0          0
-35         7         1   Si-28     0          0
-36         7         1   Si-29     0          0
-37         7         1   Si-30     0          0
-38         7         1   Cr-50     0          0
-39         7         1   Cr-52     0          0
-40         7         1   Cr-53     0          0
-41         7         1   Cr-54     0          0
-0          7         2     H-1     0          0
-1          7         2    O-16     0          0
-2          7         2    B-10     0          0
-3          7         2    B-11     0          0
-4          7         2   Fe-54     0          0
-5          7         2   Fe-56     0          0
-6          7         2   Fe-57     0          0
-7          7         2   Fe-58     0          0
-8          7         2   Ni-58     0          0
-9          7         2   Ni-60     0          0
-10         7         2   Ni-61     0          0
-11         7         2   Ni-62     0          0
-12         7         2   Ni-64     0          0
-13         7         2   Mn-55     0          0
-14         7         2   Si-28     0          0
-15         7         2   Si-29     0          0
-16         7         2   Si-30     0          0
-17         7         2   Cr-50     0          0
-18         7         2   Cr-52     0          0
-19         7         2   Cr-53     0          0
-20         7         2   Cr-54     0          0    material  group in  group out nuclide  mean  std. dev.
-63         7         1          1     H-1     0          0
-64         7         1          1    O-16     0          0
-65         7         1          1    B-10     0          0
-66         7         1          1    B-11     0          0
-67         7         1          1   Fe-54     0          0
-68         7         1          1   Fe-56     0          0
-69         7         1          1   Fe-57     0          0
-70         7         1          1   Fe-58     0          0
-71         7         1          1   Ni-58     0          0
-72         7         1          1   Ni-60     0          0
-73         7         1          1   Ni-61     0          0
-74         7         1          1   Ni-62     0          0
-75         7         1          1   Ni-64     0          0
-76         7         1          1   Mn-55     0          0
-77         7         1          1   Si-28     0          0
-78         7         1          1   Si-29     0          0
-79         7         1          1   Si-30     0          0
-80         7         1          1   Cr-50     0          0
-81         7         1          1   Cr-52     0          0
-82         7         1          1   Cr-53     0          0
-83         7         1          1   Cr-54     0          0
-42         7         1          2     H-1     0          0
-43         7         1          2    O-16     0          0
-44         7         1          2    B-10     0          0
-45         7         1          2    B-11     0          0
-46         7         1          2   Fe-54     0          0
-47         7         1          2   Fe-56     0          0
-48         7         1          2   Fe-57     0          0
-49         7         1          2   Fe-58     0          0
-50         7         1          2   Ni-58     0          0
-51         7         1          2   Ni-60     0          0
-52         7         1          2   Ni-61     0          0
-53         7         1          2   Ni-62     0          0
-54         7         1          2   Ni-64     0          0
-55         7         1          2   Mn-55     0          0
-56         7         1          2   Si-28     0          0
-57         7         1          2   Si-29     0          0
-58         7         1          2   Si-30     0          0
-59         7         1          2   Cr-50     0          0
-60         7         1          2   Cr-52     0          0
-61         7         1          2   Cr-53     0          0
-62         7         1          2   Cr-54     0          0
-21         7         2          1     H-1     0          0
-22         7         2          1    O-16     0          0
-23         7         2          1    B-10     0          0
-24         7         2          1    B-11     0          0
-25         7         2          1   Fe-54     0          0
-26         7         2          1   Fe-56     0          0
-27         7         2          1   Fe-57     0          0
-28         7         2          1   Fe-58     0          0
-29         7         2          1   Ni-58     0          0
-30         7         2          1   Ni-60     0          0
-31         7         2          1   Ni-61     0          0
-32         7         2          1   Ni-62     0          0
-33         7         2          1   Ni-64     0          0
-34         7         2          1   Mn-55     0          0
-35         7         2          1   Si-28     0          0
-36         7         2          1   Si-29     0          0
-37         7         2          1   Si-30     0          0
-38         7         2          1   Cr-50     0          0
-39         7         2          1   Cr-52     0          0
-40         7         2          1   Cr-53     0          0
-41         7         2          1   Cr-54     0          0
-0          7         2          2     H-1     0          0
-1          7         2          2    O-16     0          0
-2          7         2          2    B-10     0          0
-3          7         2          2    B-11     0          0
-4          7         2          2   Fe-54     0          0
-5          7         2          2   Fe-56     0          0
-6          7         2          2   Fe-57     0          0
-7          7         2          2   Fe-58     0          0
-8          7         2          2   Ni-58     0          0
-9          7         2          2   Ni-60     0          0
-10         7         2          2   Ni-61     0          0
-11         7         2          2   Ni-62     0          0
-12         7         2          2   Ni-64     0          0
-13         7         2          2   Mn-55     0          0
-14         7         2          2   Si-28     0          0
-15         7         2          2   Si-29     0          0
-16         7         2          2   Si-30     0          0
-17         7         2          2   Cr-50     0          0
-18         7         2          2   Cr-52     0          0
-19         7         2          2   Cr-53     0          0
-20         7         2          2   Cr-54     0          0    material  group out nuclide  mean  std. dev.
-21         7          1     H-1     0          0
-22         7          1    O-16     0          0
-23         7          1    B-10     0          0
-24         7          1    B-11     0          0
-25         7          1   Fe-54     0          0
-26         7          1   Fe-56     0          0
-27         7          1   Fe-57     0          0
-28         7          1   Fe-58     0          0
-29         7          1   Ni-58     0          0
-30         7          1   Ni-60     0          0
-31         7          1   Ni-61     0          0
-32         7          1   Ni-62     0          0
-33         7          1   Ni-64     0          0
-34         7          1   Mn-55     0          0
-35         7          1   Si-28     0          0
-36         7          1   Si-29     0          0
-37         7          1   Si-30     0          0
-38         7          1   Cr-50     0          0
-39         7          1   Cr-52     0          0
-40         7          1   Cr-53     0          0
-41         7          1   Cr-54     0          0
-0          7          2     H-1     0          0
-1          7          2    O-16     0          0
-2          7          2    B-10     0          0
-3          7          2    B-11     0          0
-4          7          2   Fe-54     0          0
-5          7          2   Fe-56     0          0
-6          7          2   Fe-57     0          0
-7          7          2   Fe-58     0          0
-8          7          2   Ni-58     0          0
-9          7          2   Ni-60     0          0
-10         7          2   Ni-61     0          0
-11         7          2   Ni-62     0          0
-12         7          2   Ni-64     0          0
-13         7          2   Mn-55     0          0
-14         7          2   Si-28     0          0
-15         7          2   Si-29     0          0
-16         7          2   Si-30     0          0
-17         7          2   Cr-50     0          0
-18         7          2   Cr-52     0          0
-19         7          2   Cr-53     0          0
-20         7          2   Cr-54     0          0    material  group in nuclide  mean  std. dev.
-21         8         1     H-1     0          0
-22         8         1    O-16     0          0
-23         8         1    B-10     0          0
-24         8         1    B-11     0          0
-25         8         1   Fe-54     0          0
-26         8         1   Fe-56     0          0
-27         8         1   Fe-57     0          0
-28         8         1   Fe-58     0          0
-29         8         1   Ni-58     0          0
-30         8         1   Ni-60     0          0
-31         8         1   Ni-61     0          0
-32         8         1   Ni-62     0          0
-33         8         1   Ni-64     0          0
-34         8         1   Mn-55     0          0
-35         8         1   Si-28     0          0
-36         8         1   Si-29     0          0
-37         8         1   Si-30     0          0
-38         8         1   Cr-50     0          0
-39         8         1   Cr-52     0          0
-40         8         1   Cr-53     0          0
-41         8         1   Cr-54     0          0
-0          8         2     H-1     0          0
-1          8         2    O-16     0          0
-2          8         2    B-10     0          0
-3          8         2    B-11     0          0
-4          8         2   Fe-54     0          0
-5          8         2   Fe-56     0          0
-6          8         2   Fe-57     0          0
-7          8         2   Fe-58     0          0
-8          8         2   Ni-58     0          0
-9          8         2   Ni-60     0          0
-10         8         2   Ni-61     0          0
-11         8         2   Ni-62     0          0
-12         8         2   Ni-64     0          0
-13         8         2   Mn-55     0          0
-14         8         2   Si-28     0          0
-15         8         2   Si-29     0          0
-16         8         2   Si-30     0          0
-17         8         2   Cr-50     0          0
-18         8         2   Cr-52     0          0
-19         8         2   Cr-53     0          0
-20         8         2   Cr-54     0          0    material  group in nuclide  mean  std. dev.
-21         8         1     H-1     0          0
-22         8         1    O-16     0          0
-23         8         1    B-10     0          0
-24         8         1    B-11     0          0
-25         8         1   Fe-54     0          0
-26         8         1   Fe-56     0          0
-27         8         1   Fe-57     0          0
-28         8         1   Fe-58     0          0
-29         8         1   Ni-58     0          0
-30         8         1   Ni-60     0          0
-31         8         1   Ni-61     0          0
-32         8         1   Ni-62     0          0
-33         8         1   Ni-64     0          0
-34         8         1   Mn-55     0          0
-35         8         1   Si-28     0          0
-36         8         1   Si-29     0          0
-37         8         1   Si-30     0          0
-38         8         1   Cr-50     0          0
-39         8         1   Cr-52     0          0
-40         8         1   Cr-53     0          0
-41         8         1   Cr-54     0          0
-0          8         2     H-1     0          0
-1          8         2    O-16     0          0
-2          8         2    B-10     0          0
-3          8         2    B-11     0          0
-4          8         2   Fe-54     0          0
-5          8         2   Fe-56     0          0
-6          8         2   Fe-57     0          0
-7          8         2   Fe-58     0          0
-8          8         2   Ni-58     0          0
-9          8         2   Ni-60     0          0
-10         8         2   Ni-61     0          0
-11         8         2   Ni-62     0          0
-12         8         2   Ni-64     0          0
-13         8         2   Mn-55     0          0
-14         8         2   Si-28     0          0
-15         8         2   Si-29     0          0
-16         8         2   Si-30     0          0
-17         8         2   Cr-50     0          0
-18         8         2   Cr-52     0          0
-19         8         2   Cr-53     0          0
-20         8         2   Cr-54     0          0    material  group in  group out nuclide  mean  std. dev.
-63         8         1          1     H-1     0          0
-64         8         1          1    O-16     0          0
-65         8         1          1    B-10     0          0
-66         8         1          1    B-11     0          0
-67         8         1          1   Fe-54     0          0
-68         8         1          1   Fe-56     0          0
-69         8         1          1   Fe-57     0          0
-70         8         1          1   Fe-58     0          0
-71         8         1          1   Ni-58     0          0
-72         8         1          1   Ni-60     0          0
-73         8         1          1   Ni-61     0          0
-74         8         1          1   Ni-62     0          0
-75         8         1          1   Ni-64     0          0
-76         8         1          1   Mn-55     0          0
-77         8         1          1   Si-28     0          0
-78         8         1          1   Si-29     0          0
-79         8         1          1   Si-30     0          0
-80         8         1          1   Cr-50     0          0
-81         8         1          1   Cr-52     0          0
-82         8         1          1   Cr-53     0          0
-83         8         1          1   Cr-54     0          0
-42         8         1          2     H-1     0          0
-43         8         1          2    O-16     0          0
-44         8         1          2    B-10     0          0
-45         8         1          2    B-11     0          0
-46         8         1          2   Fe-54     0          0
-47         8         1          2   Fe-56     0          0
-48         8         1          2   Fe-57     0          0
-49         8         1          2   Fe-58     0          0
-50         8         1          2   Ni-58     0          0
-51         8         1          2   Ni-60     0          0
-52         8         1          2   Ni-61     0          0
-53         8         1          2   Ni-62     0          0
-54         8         1          2   Ni-64     0          0
-55         8         1          2   Mn-55     0          0
-56         8         1          2   Si-28     0          0
-57         8         1          2   Si-29     0          0
-58         8         1          2   Si-30     0          0
-59         8         1          2   Cr-50     0          0
-60         8         1          2   Cr-52     0          0
-61         8         1          2   Cr-53     0          0
-62         8         1          2   Cr-54     0          0
-21         8         2          1     H-1     0          0
-22         8         2          1    O-16     0          0
-23         8         2          1    B-10     0          0
-24         8         2          1    B-11     0          0
-25         8         2          1   Fe-54     0          0
-26         8         2          1   Fe-56     0          0
-27         8         2          1   Fe-57     0          0
-28         8         2          1   Fe-58     0          0
-29         8         2          1   Ni-58     0          0
-30         8         2          1   Ni-60     0          0
-31         8         2          1   Ni-61     0          0
-32         8         2          1   Ni-62     0          0
-33         8         2          1   Ni-64     0          0
-34         8         2          1   Mn-55     0          0
-35         8         2          1   Si-28     0          0
-36         8         2          1   Si-29     0          0
-37         8         2          1   Si-30     0          0
-38         8         2          1   Cr-50     0          0
-39         8         2          1   Cr-52     0          0
-40         8         2          1   Cr-53     0          0
-41         8         2          1   Cr-54     0          0
-0          8         2          2     H-1     0          0
-1          8         2          2    O-16     0          0
-2          8         2          2    B-10     0          0
-3          8         2          2    B-11     0          0
-4          8         2          2   Fe-54     0          0
-5          8         2          2   Fe-56     0          0
-6          8         2          2   Fe-57     0          0
-7          8         2          2   Fe-58     0          0
-8          8         2          2   Ni-58     0          0
-9          8         2          2   Ni-60     0          0
-10         8         2          2   Ni-61     0          0
-11         8         2          2   Ni-62     0          0
-12         8         2          2   Ni-64     0          0
-13         8         2          2   Mn-55     0          0
-14         8         2          2   Si-28     0          0
-15         8         2          2   Si-29     0          0
-16         8         2          2   Si-30     0          0
-17         8         2          2   Cr-50     0          0
-18         8         2          2   Cr-52     0          0
-19         8         2          2   Cr-53     0          0
-20         8         2          2   Cr-54     0          0    material  group out nuclide  mean  std. dev.
-21         8          1     H-1     0          0
-22         8          1    O-16     0          0
-23         8          1    B-10     0          0
-24         8          1    B-11     0          0
-25         8          1   Fe-54     0          0
-26         8          1   Fe-56     0          0
-27         8          1   Fe-57     0          0
-28         8          1   Fe-58     0          0
-29         8          1   Ni-58     0          0
-30         8          1   Ni-60     0          0
-31         8          1   Ni-61     0          0
-32         8          1   Ni-62     0          0
-33         8          1   Ni-64     0          0
-34         8          1   Mn-55     0          0
-35         8          1   Si-28     0          0
-36         8          1   Si-29     0          0
-37         8          1   Si-30     0          0
-38         8          1   Cr-50     0          0
-39         8          1   Cr-52     0          0
-40         8          1   Cr-53     0          0
-41         8          1   Cr-54     0          0
-0          8          2     H-1     0          0
-1          8          2    O-16     0          0
-2          8          2    B-10     0          0
-3          8          2    B-11     0          0
-4          8          2   Fe-54     0          0
-5          8          2   Fe-56     0          0
-6          8          2   Fe-57     0          0
-7          8          2   Fe-58     0          0
-8          8          2   Ni-58     0          0
-9          8          2   Ni-60     0          0
-10         8          2   Ni-61     0          0
-11         8          2   Ni-62     0          0
-12         8          2   Ni-64     0          0
-13         8          2   Mn-55     0          0
-14         8          2   Si-28     0          0
-15         8          2   Si-29     0          0
-16         8          2   Si-30     0          0
-17         8          2   Cr-50     0          0
-18         8          2   Cr-52     0          0
-19         8          2   Cr-53     0          0
-20         8          2   Cr-54     0          0    material  group in nuclide      mean  std. dev.
-21         9         1     H-1  0.106160   0.179178
-22         9         1    O-16  0.272020   0.171699
-23         9         1    B-10  0.000000   0.000000
-24         9         1    B-11  0.000000   0.000000
-25         9         1   Fe-54  0.000000   0.000000
-26         9         1   Fe-56  0.000000   0.000000
-27         9         1   Fe-57  0.000000   0.000000
-28         9         1   Fe-58  0.000000   0.000000
-29         9         1   Ni-58  0.000000   0.000000
-30         9         1   Ni-60  0.000000   0.000000
-31         9         1   Ni-61  0.000000   0.000000
-32         9         1   Ni-62  0.000000   0.000000
-33         9         1   Ni-64  0.000000   0.000000
-34         9         1   Mn-55  0.085133   0.082479
-35         9         1   Si-28  0.000000   0.000000
-36         9         1   Si-29  0.000000   0.000000
-37         9         1   Si-30  0.000000   0.000000
-38         9         1   Cr-50  0.000000   0.000000
-39         9         1   Cr-52  0.000000   0.000000
-40         9         1   Cr-53  0.040723   0.079827
-41         9         1   Cr-54  0.000000   0.000000
-0          9         2     H-1  1.417955   2.158027
-1          9         2    O-16  0.000000   0.000000
-2          9         2    B-10  0.269141   0.380622
-3          9         2    B-11  0.000000   0.000000
-4          9         2   Fe-54  0.000000   0.000000
-5          9         2   Fe-56  0.000000   0.000000
-6          9         2   Fe-57  0.000000   0.000000
-7          9         2   Fe-58  0.000000   0.000000
-8          9         2   Ni-58  0.000000   0.000000
-9          9         2   Ni-60  0.000000   0.000000
-10         9         2   Ni-61  0.000000   0.000000
-11         9         2   Ni-62  0.000000   0.000000
-12         9         2   Ni-64  0.000000   0.000000
-13         9         2   Mn-55  0.000000   0.000000
-14         9         2   Si-28  0.000000   0.000000
-15         9         2   Si-29  0.000000   0.000000
-16         9         2   Si-30  0.000000   0.000000
-17         9         2   Cr-50  0.000000   0.000000
-18         9         2   Cr-52  0.000000   0.000000
-19         9         2   Cr-53  0.000000   0.000000
-20         9         2   Cr-54  0.000000   0.000000    material  group in nuclide  mean  std. dev.
-21         9         1     H-1     0          0
-22         9         1    O-16     0          0
-23         9         1    B-10     0          0
-24         9         1    B-11     0          0
-25         9         1   Fe-54     0          0
-26         9         1   Fe-56     0          0
-27         9         1   Fe-57     0          0
-28         9         1   Fe-58     0          0
-29         9         1   Ni-58     0          0
-30         9         1   Ni-60     0          0
-31         9         1   Ni-61     0          0
-32         9         1   Ni-62     0          0
-33         9         1   Ni-64     0          0
-34         9         1   Mn-55     0          0
-35         9         1   Si-28     0          0
-36         9         1   Si-29     0          0
-37         9         1   Si-30     0          0
-38         9         1   Cr-50     0          0
-39         9         1   Cr-52     0          0
-40         9         1   Cr-53     0          0
-41         9         1   Cr-54     0          0
-0          9         2     H-1     0          0
-1          9         2    O-16     0          0
-2          9         2    B-10     0          0
-3          9         2    B-11     0          0
-4          9         2   Fe-54     0          0
-5          9         2   Fe-56     0          0
-6          9         2   Fe-57     0          0
-7          9         2   Fe-58     0          0
-8          9         2   Ni-58     0          0
-9          9         2   Ni-60     0          0
-10         9         2   Ni-61     0          0
-11         9         2   Ni-62     0          0
-12         9         2   Ni-64     0          0
-13         9         2   Mn-55     0          0
-14         9         2   Si-28     0          0
-15         9         2   Si-29     0          0
-16         9         2   Si-30     0          0
-17         9         2   Cr-50     0          0
-18         9         2   Cr-52     0          0
-19         9         2   Cr-53     0          0
-20         9         2   Cr-54     0          0    material  group in  group out nuclide      mean  std. dev.
-63         9         1          1     H-1  0.106160   0.179178
-64         9         1          1    O-16  0.272020   0.171699
-65         9         1          1    B-10  0.000000   0.000000
-66         9         1          1    B-11  0.000000   0.000000
-67         9         1          1   Fe-54  0.000000   0.000000
-68         9         1          1   Fe-56  0.000000   0.000000
-69         9         1          1   Fe-57  0.000000   0.000000
-70         9         1          1   Fe-58  0.000000   0.000000
-71         9         1          1   Ni-58  0.000000   0.000000
-72         9         1          1   Ni-60  0.000000   0.000000
-73         9         1          1   Ni-61  0.000000   0.000000
-74         9         1          1   Ni-62  0.000000   0.000000
-75         9         1          1   Ni-64  0.000000   0.000000
-76         9         1          1   Mn-55  0.085133   0.082479
-77         9         1          1   Si-28  0.000000   0.000000
-78         9         1          1   Si-29  0.000000   0.000000
-79         9         1          1   Si-30  0.000000   0.000000
-80         9         1          1   Cr-50  0.000000   0.000000
-81         9         1          1   Cr-52  0.000000   0.000000
-82         9         1          1   Cr-53  0.040723   0.079827
-83         9         1          1   Cr-54  0.000000   0.000000
-42         9         1          2     H-1  0.000000   0.000000
-43         9         1          2    O-16  0.000000   0.000000
-44         9         1          2    B-10  0.000000   0.000000
-45         9         1          2    B-11  0.000000   0.000000
-46         9         1          2   Fe-54  0.000000   0.000000
-47         9         1          2   Fe-56  0.000000   0.000000
-48         9         1          2   Fe-57  0.000000   0.000000
-49         9         1          2   Fe-58  0.000000   0.000000
-50         9         1          2   Ni-58  0.000000   0.000000
-51         9         1          2   Ni-60  0.000000   0.000000
-52         9         1          2   Ni-61  0.000000   0.000000
-53         9         1          2   Ni-62  0.000000   0.000000
-54         9         1          2   Ni-64  0.000000   0.000000
-55         9         1          2   Mn-55  0.000000   0.000000
-56         9         1          2   Si-28  0.000000   0.000000
-57         9         1          2   Si-29  0.000000   0.000000
-58         9         1          2   Si-30  0.000000   0.000000
-59         9         1          2   Cr-50  0.000000   0.000000
-60         9         1          2   Cr-52  0.000000   0.000000
-61         9         1          2   Cr-53  0.000000   0.000000
-62         9         1          2   Cr-54  0.000000   0.000000
-21         9         2          1     H-1  0.000000   0.000000
-22         9         2          1    O-16  0.000000   0.000000
-23         9         2          1    B-10  0.000000   0.000000
-24         9         2          1    B-11  0.000000   0.000000
-25         9         2          1   Fe-54  0.000000   0.000000
-26         9         2          1   Fe-56  0.000000   0.000000
-27         9         2          1   Fe-57  0.000000   0.000000
-28         9         2          1   Fe-58  0.000000   0.000000
-29         9         2          1   Ni-58  0.000000   0.000000
-30         9         2          1   Ni-60  0.000000   0.000000
-31         9         2          1   Ni-61  0.000000   0.000000
-32         9         2          1   Ni-62  0.000000   0.000000
-33         9         2          1   Ni-64  0.000000   0.000000
-34         9         2          1   Mn-55  0.000000   0.000000
-35         9         2          1   Si-28  0.000000   0.000000
-36         9         2          1   Si-29  0.000000   0.000000
-37         9         2          1   Si-30  0.000000   0.000000
-38         9         2          1   Cr-50  0.000000   0.000000
-39         9         2          1   Cr-52  0.000000   0.000000
-40         9         2          1   Cr-53  0.000000   0.000000
-41         9         2          1   Cr-54  0.000000   0.000000
-0          9         2          2     H-1  1.417955   2.158027
-1          9         2          2    O-16  0.000000   0.000000
-2          9         2          2    B-10  0.000000   0.000000
-3          9         2          2    B-11  0.000000   0.000000
-4          9         2          2   Fe-54  0.000000   0.000000
-5          9         2          2   Fe-56  0.000000   0.000000
-6          9         2          2   Fe-57  0.000000   0.000000
-7          9         2          2   Fe-58  0.000000   0.000000
-8          9         2          2   Ni-58  0.000000   0.000000
-9          9         2          2   Ni-60  0.000000   0.000000
-10         9         2          2   Ni-61  0.000000   0.000000
-11         9         2          2   Ni-62  0.000000   0.000000
-12         9         2          2   Ni-64  0.000000   0.000000
-13         9         2          2   Mn-55  0.000000   0.000000
-14         9         2          2   Si-28  0.000000   0.000000
-15         9         2          2   Si-29  0.000000   0.000000
-16         9         2          2   Si-30  0.000000   0.000000
-17         9         2          2   Cr-50  0.000000   0.000000
-18         9         2          2   Cr-52  0.000000   0.000000
-19         9         2          2   Cr-53  0.000000   0.000000
-20         9         2          2   Cr-54  0.000000   0.000000    material  group out nuclide  mean  std. dev.
-21         9          1     H-1     0          0
-22         9          1    O-16     0          0
-23         9          1    B-10     0          0
-24         9          1    B-11     0          0
-25         9          1   Fe-54     0          0
-26         9          1   Fe-56     0          0
-27         9          1   Fe-57     0          0
-28         9          1   Fe-58     0          0
-29         9          1   Ni-58     0          0
-30         9          1   Ni-60     0          0
-31         9          1   Ni-61     0          0
-32         9          1   Ni-62     0          0
-33         9          1   Ni-64     0          0
-34         9          1   Mn-55     0          0
-35         9          1   Si-28     0          0
-36         9          1   Si-29     0          0
-37         9          1   Si-30     0          0
-38         9          1   Cr-50     0          0
-39         9          1   Cr-52     0          0
-40         9          1   Cr-53     0          0
-41         9          1   Cr-54     0          0
-0          9          2     H-1     0          0
-1          9          2    O-16     0          0
-2          9          2    B-10     0          0
-3          9          2    B-11     0          0
-4          9          2   Fe-54     0          0
-5          9          2   Fe-56     0          0
-6          9          2   Fe-57     0          0
-7          9          2   Fe-58     0          0
-8          9          2   Ni-58     0          0
-9          9          2   Ni-60     0          0
-10         9          2   Ni-61     0          0
-11         9          2   Ni-62     0          0
-12         9          2   Ni-64     0          0
-13         9          2   Mn-55     0          0
-14         9          2   Si-28     0          0
-15         9          2   Si-29     0          0
-16         9          2   Si-30     0          0
-17         9          2   Cr-50     0          0
-18         9          2   Cr-52     0          0
-19         9          2   Cr-53     0          0
-20         9          2   Cr-54     0          0    material  group in nuclide  mean  std. dev.
-21        10         1     H-1     0          0
-22        10         1    O-16     0          0
-23        10         1    B-10     0          0
-24        10         1    B-11     0          0
-25        10         1   Fe-54     0          0
-26        10         1   Fe-56     0          0
-27        10         1   Fe-57     0          0
-28        10         1   Fe-58     0          0
-29        10         1   Ni-58     0          0
-30        10         1   Ni-60     0          0
-31        10         1   Ni-61     0          0
-32        10         1   Ni-62     0          0
-33        10         1   Ni-64     0          0
-34        10         1   Mn-55     0          0
-35        10         1   Si-28     0          0
-36        10         1   Si-29     0          0
-37        10         1   Si-30     0          0
-38        10         1   Cr-50     0          0
-39        10         1   Cr-52     0          0
-40        10         1   Cr-53     0          0
-41        10         1   Cr-54     0          0
-0         10         2     H-1     0          0
-1         10         2    O-16     0          0
-2         10         2    B-10     0          0
-3         10         2    B-11     0          0
-4         10         2   Fe-54     0          0
-5         10         2   Fe-56     0          0
-6         10         2   Fe-57     0          0
-7         10         2   Fe-58     0          0
-8         10         2   Ni-58     0          0
-9         10         2   Ni-60     0          0
-10        10         2   Ni-61     0          0
-11        10         2   Ni-62     0          0
-12        10         2   Ni-64     0          0
-13        10         2   Mn-55     0          0
-14        10         2   Si-28     0          0
-15        10         2   Si-29     0          0
-16        10         2   Si-30     0          0
-17        10         2   Cr-50     0          0
-18        10         2   Cr-52     0          0
-19        10         2   Cr-53     0          0
-20        10         2   Cr-54     0          0    material  group in nuclide  mean  std. dev.
-21        10         1     H-1     0          0
-22        10         1    O-16     0          0
-23        10         1    B-10     0          0
-24        10         1    B-11     0          0
-25        10         1   Fe-54     0          0
-26        10         1   Fe-56     0          0
-27        10         1   Fe-57     0          0
-28        10         1   Fe-58     0          0
-29        10         1   Ni-58     0          0
-30        10         1   Ni-60     0          0
-31        10         1   Ni-61     0          0
-32        10         1   Ni-62     0          0
-33        10         1   Ni-64     0          0
-34        10         1   Mn-55     0          0
-35        10         1   Si-28     0          0
-36        10         1   Si-29     0          0
-37        10         1   Si-30     0          0
-38        10         1   Cr-50     0          0
-39        10         1   Cr-52     0          0
-40        10         1   Cr-53     0          0
-41        10         1   Cr-54     0          0
-0         10         2     H-1     0          0
-1         10         2    O-16     0          0
-2         10         2    B-10     0          0
-3         10         2    B-11     0          0
-4         10         2   Fe-54     0          0
-5         10         2   Fe-56     0          0
-6         10         2   Fe-57     0          0
-7         10         2   Fe-58     0          0
-8         10         2   Ni-58     0          0
-9         10         2   Ni-60     0          0
-10        10         2   Ni-61     0          0
-11        10         2   Ni-62     0          0
-12        10         2   Ni-64     0          0
-13        10         2   Mn-55     0          0
-14        10         2   Si-28     0          0
-15        10         2   Si-29     0          0
-16        10         2   Si-30     0          0
-17        10         2   Cr-50     0          0
-18        10         2   Cr-52     0          0
-19        10         2   Cr-53     0          0
-20        10         2   Cr-54     0          0    material  group in  group out nuclide  mean  std. dev.
-63        10         1          1     H-1     0          0
-64        10         1          1    O-16     0          0
-65        10         1          1    B-10     0          0
-66        10         1          1    B-11     0          0
-67        10         1          1   Fe-54     0          0
-68        10         1          1   Fe-56     0          0
-69        10         1          1   Fe-57     0          0
-70        10         1          1   Fe-58     0          0
-71        10         1          1   Ni-58     0          0
-72        10         1          1   Ni-60     0          0
-73        10         1          1   Ni-61     0          0
-74        10         1          1   Ni-62     0          0
-75        10         1          1   Ni-64     0          0
-76        10         1          1   Mn-55     0          0
-77        10         1          1   Si-28     0          0
-78        10         1          1   Si-29     0          0
-79        10         1          1   Si-30     0          0
-80        10         1          1   Cr-50     0          0
-81        10         1          1   Cr-52     0          0
-82        10         1          1   Cr-53     0          0
-83        10         1          1   Cr-54     0          0
-42        10         1          2     H-1     0          0
-43        10         1          2    O-16     0          0
-44        10         1          2    B-10     0          0
-45        10         1          2    B-11     0          0
-46        10         1          2   Fe-54     0          0
-47        10         1          2   Fe-56     0          0
-48        10         1          2   Fe-57     0          0
-49        10         1          2   Fe-58     0          0
-50        10         1          2   Ni-58     0          0
-51        10         1          2   Ni-60     0          0
-52        10         1          2   Ni-61     0          0
-53        10         1          2   Ni-62     0          0
-54        10         1          2   Ni-64     0          0
-55        10         1          2   Mn-55     0          0
-56        10         1          2   Si-28     0          0
-57        10         1          2   Si-29     0          0
-58        10         1          2   Si-30     0          0
-59        10         1          2   Cr-50     0          0
-60        10         1          2   Cr-52     0          0
-61        10         1          2   Cr-53     0          0
-62        10         1          2   Cr-54     0          0
-21        10         2          1     H-1     0          0
-22        10         2          1    O-16     0          0
-23        10         2          1    B-10     0          0
-24        10         2          1    B-11     0          0
-25        10         2          1   Fe-54     0          0
-26        10         2          1   Fe-56     0          0
-27        10         2          1   Fe-57     0          0
-28        10         2          1   Fe-58     0          0
-29        10         2          1   Ni-58     0          0
-30        10         2          1   Ni-60     0          0
-31        10         2          1   Ni-61     0          0
-32        10         2          1   Ni-62     0          0
-33        10         2          1   Ni-64     0          0
-34        10         2          1   Mn-55     0          0
-35        10         2          1   Si-28     0          0
-36        10         2          1   Si-29     0          0
-37        10         2          1   Si-30     0          0
-38        10         2          1   Cr-50     0          0
-39        10         2          1   Cr-52     0          0
-40        10         2          1   Cr-53     0          0
-41        10         2          1   Cr-54     0          0
-0         10         2          2     H-1     0          0
-1         10         2          2    O-16     0          0
-2         10         2          2    B-10     0          0
-3         10         2          2    B-11     0          0
-4         10         2          2   Fe-54     0          0
-5         10         2          2   Fe-56     0          0
-6         10         2          2   Fe-57     0          0
-7         10         2          2   Fe-58     0          0
-8         10         2          2   Ni-58     0          0
-9         10         2          2   Ni-60     0          0
-10        10         2          2   Ni-61     0          0
-11        10         2          2   Ni-62     0          0
-12        10         2          2   Ni-64     0          0
-13        10         2          2   Mn-55     0          0
-14        10         2          2   Si-28     0          0
-15        10         2          2   Si-29     0          0
-16        10         2          2   Si-30     0          0
-17        10         2          2   Cr-50     0          0
-18        10         2          2   Cr-52     0          0
-19        10         2          2   Cr-53     0          0
-20        10         2          2   Cr-54     0          0    material  group out nuclide  mean  std. dev.
-21        10          1     H-1     0          0
-22        10          1    O-16     0          0
-23        10          1    B-10     0          0
-24        10          1    B-11     0          0
-25        10          1   Fe-54     0          0
-26        10          1   Fe-56     0          0
-27        10          1   Fe-57     0          0
-28        10          1   Fe-58     0          0
-29        10          1   Ni-58     0          0
-30        10          1   Ni-60     0          0
-31        10          1   Ni-61     0          0
-32        10          1   Ni-62     0          0
-33        10          1   Ni-64     0          0
-34        10          1   Mn-55     0          0
-35        10          1   Si-28     0          0
-36        10          1   Si-29     0          0
-37        10          1   Si-30     0          0
-38        10          1   Cr-50     0          0
-39        10          1   Cr-52     0          0
-40        10          1   Cr-53     0          0
-41        10          1   Cr-54     0          0
-0         10          2     H-1     0          0
-1         10          2    O-16     0          0
-2         10          2    B-10     0          0
-3         10          2    B-11     0          0
-4         10          2   Fe-54     0          0
-5         10          2   Fe-56     0          0
-6         10          2   Fe-57     0          0
-7         10          2   Fe-58     0          0
-8         10          2   Ni-58     0          0
-9         10          2   Ni-60     0          0
-10        10          2   Ni-61     0          0
-11        10          2   Ni-62     0          0
-12        10          2   Ni-64     0          0
-13        10          2   Mn-55     0          0
-14        10          2   Si-28     0          0
-15        10          2   Si-29     0          0
-16        10          2   Si-30     0          0
-17        10          2   Cr-50     0          0
-18        10          2   Cr-52     0          0
-19        10          2   Cr-53     0          0
-20        10          2   Cr-54     0          0    material  group in nuclide      mean  std. dev.
-9         11         1     H-1  0.138558   0.260695
-10        11         1    O-16  0.042575   0.049271
-11        11         1    B-10  0.000000   0.000000
-12        11         1    B-11  0.000000   0.000000
-13        11         1   Zr-90  0.041034   0.049102
-14        11         1   Zr-91  0.027328   0.021092
-15        11         1   Zr-92  0.009788   0.009282
-16        11         1   Zr-94  0.043543   0.036697
-17        11         1   Zr-96  0.000000   0.000000
-0         11         2     H-1  0.824153   0.917955
-1         11         2    O-16  0.041986   0.060727
-2         11         2    B-10  0.048216   0.042726
-3         11         2    B-11  0.000000   0.000000
-4         11         2   Zr-90  0.048596   0.067712
-5         11         2   Zr-91  0.000000   0.000000
-6         11         2   Zr-92  0.000000   0.000000
-7         11         2   Zr-94  0.043195   0.041363
-8         11         2   Zr-96  0.000000   0.000000    material  group in nuclide  mean  std. dev.
-9         11         1     H-1     0          0
-10        11         1    O-16     0          0
-11        11         1    B-10     0          0
-12        11         1    B-11     0          0
-13        11         1   Zr-90     0          0
-14        11         1   Zr-91     0          0
-15        11         1   Zr-92     0          0
-16        11         1   Zr-94     0          0
-17        11         1   Zr-96     0          0
-0         11         2     H-1     0          0
-1         11         2    O-16     0          0
-2         11         2    B-10     0          0
-3         11         2    B-11     0          0
-4         11         2   Zr-90     0          0
-5         11         2   Zr-91     0          0
-6         11         2   Zr-92     0          0
-7         11         2   Zr-94     0          0
-8         11         2   Zr-96     0          0    material  group in  group out nuclide      mean  std. dev.
-27        11         1          1     H-1  0.111411   0.247294
-28        11         1          1    O-16  0.042575   0.049271
-29        11         1          1    B-10  0.000000   0.000000
-30        11         1          1    B-11  0.000000   0.000000
-31        11         1          1   Zr-90  0.041034   0.049102
-32        11         1          1   Zr-91  0.027328   0.021092
-33        11         1          1   Zr-92  0.009788   0.009282
-34        11         1          1   Zr-94  0.043543   0.036697
-35        11         1          1   Zr-96  0.000000   0.000000
-18        11         1          2     H-1  0.027147   0.020009
-19        11         1          2    O-16  0.000000   0.000000
-20        11         1          2    B-10  0.000000   0.000000
-21        11         1          2    B-11  0.000000   0.000000
-22        11         1          2   Zr-90  0.000000   0.000000
-23        11         1          2   Zr-91  0.000000   0.000000
-24        11         1          2   Zr-92  0.000000   0.000000
-25        11         1          2   Zr-94  0.000000   0.000000
-26        11         1          2   Zr-96  0.000000   0.000000
-9         11         2          1     H-1  0.000000   0.000000
-10        11         2          1    O-16  0.000000   0.000000
-11        11         2          1    B-10  0.000000   0.000000
-12        11         2          1    B-11  0.000000   0.000000
-13        11         2          1   Zr-90  0.000000   0.000000
-14        11         2          1   Zr-91  0.000000   0.000000
-15        11         2          1   Zr-92  0.000000   0.000000
-16        11         2          1   Zr-94  0.000000   0.000000
-17        11         2          1   Zr-96  0.000000   0.000000
-0         11         2          2     H-1  0.824153   0.917955
-1         11         2          2    O-16  0.041986   0.060727
-2         11         2          2    B-10  0.000000   0.000000
-3         11         2          2    B-11  0.000000   0.000000
-4         11         2          2   Zr-90  0.048596   0.067712
-5         11         2          2   Zr-91  0.000000   0.000000
-6         11         2          2   Zr-92  0.000000   0.000000
-7         11         2          2   Zr-94  0.043195   0.041363
-8         11         2          2   Zr-96  0.000000   0.000000    material  group out nuclide  mean  std. dev.
-9         11          1     H-1     0          0
-10        11          1    O-16     0          0
-11        11          1    B-10     0          0
-12        11          1    B-11     0          0
-13        11          1   Zr-90     0          0
-14        11          1   Zr-91     0          0
-15        11          1   Zr-92     0          0
-16        11          1   Zr-94     0          0
-17        11          1   Zr-96     0          0
-0         11          2     H-1     0          0
-1         11          2    O-16     0          0
-2         11          2    B-10     0          0
-3         11          2    B-11     0          0
-4         11          2   Zr-90     0          0
-5         11          2   Zr-91     0          0
-6         11          2   Zr-92     0          0
-7         11          2   Zr-94     0          0
-8         11          2   Zr-96     0          0    material  group in nuclide      mean  std. dev.
-9         12         1     H-1  0.151924   0.200147
-10        12         1    O-16  0.039280   0.026086
-11        12         1    B-10  0.000000   0.000000
-12        12         1    B-11  0.000000   0.000000
-13        12         1   Zr-90  0.017578   0.022079
-14        12         1   Zr-91  0.039984   0.025285
-15        12         1   Zr-92  0.001172   0.006230
-16        12         1   Zr-94  0.001668   0.005966
-17        12         1   Zr-96  0.004328   0.005325
-0         12         2     H-1  0.942412   0.866849
-1         12         2    O-16  0.047438   0.048161
-2         12         2    B-10  0.041655   0.031202
-3         12         2    B-11  0.000000   0.000000
-4         12         2   Zr-90  0.021193   0.017456
-5         12         2   Zr-91  0.007901   0.009268
-6         12         2   Zr-92  0.009422   0.012802
-7         12         2   Zr-94  0.043324   0.027551
-8         12         2   Zr-96  0.000000   0.000000    material  group in nuclide  mean  std. dev.
-9         12         1     H-1     0          0
-10        12         1    O-16     0          0
-11        12         1    B-10     0          0
-12        12         1    B-11     0          0
-13        12         1   Zr-90     0          0
-14        12         1   Zr-91     0          0
-15        12         1   Zr-92     0          0
-16        12         1   Zr-94     0          0
-17        12         1   Zr-96     0          0
-0         12         2     H-1     0          0
-1         12         2    O-16     0          0
-2         12         2    B-10     0          0
-3         12         2    B-11     0          0
-4         12         2   Zr-90     0          0
-5         12         2   Zr-91     0          0
-6         12         2   Zr-92     0          0
-7         12         2   Zr-94     0          0
-8         12         2   Zr-96     0          0    material  group in  group out nuclide      mean  std. dev.
-27        12         1          1     H-1  0.122301   0.187298
-28        12         1          1    O-16  0.039280   0.026086
-29        12         1          1    B-10  0.000000   0.000000
-30        12         1          1    B-11  0.000000   0.000000
-31        12         1          1   Zr-90  0.017578   0.022079
-32        12         1          1   Zr-91  0.039984   0.025285
-33        12         1          1   Zr-92  0.001172   0.006230
-34        12         1          1   Zr-94  0.001668   0.005966
-35        12         1          1   Zr-96  0.004328   0.005325
-18        12         1          2     H-1  0.029622   0.017760
-19        12         1          2    O-16  0.000000   0.000000
-20        12         1          2    B-10  0.000000   0.000000
-21        12         1          2    B-11  0.000000   0.000000
-22        12         1          2   Zr-90  0.000000   0.000000
-23        12         1          2   Zr-91  0.000000   0.000000
-24        12         1          2   Zr-92  0.000000   0.000000
-25        12         1          2   Zr-94  0.000000   0.000000
-26        12         1          2   Zr-96  0.000000   0.000000
-9         12         2          1     H-1  0.000000   0.000000
-10        12         2          1    O-16  0.000000   0.000000
-11        12         2          1    B-10  0.000000   0.000000
-12        12         2          1    B-11  0.000000   0.000000
-13        12         2          1   Zr-90  0.000000   0.000000
-14        12         2          1   Zr-91  0.000000   0.000000
-15        12         2          1   Zr-92  0.000000   0.000000
-16        12         2          1   Zr-94  0.000000   0.000000
-17        12         2          1   Zr-96  0.000000   0.000000
-0         12         2          2     H-1  0.942412   0.866849
-1         12         2          2    O-16  0.047438   0.048161
-2         12         2          2    B-10  0.000000   0.000000
-3         12         2          2    B-11  0.000000   0.000000
-4         12         2          2   Zr-90  0.021193   0.017456
-5         12         2          2   Zr-91  0.007901   0.009268
-6         12         2          2   Zr-92  0.009422   0.012802
-7         12         2          2   Zr-94  0.043324   0.027551
-8         12         2          2   Zr-96  0.000000   0.000000    material  group out nuclide  mean  std. dev.
-9         12          1     H-1     0          0
-10        12          1    O-16     0          0
-11        12          1    B-10     0          0
-12        12          1    B-11     0          0
-13        12          1   Zr-90     0          0
-14        12          1   Zr-91     0          0
-15        12          1   Zr-92     0          0
-16        12          1   Zr-94     0          0
-17        12          1   Zr-96     0          0
-0         12          2     H-1     0          0
-1         12          2    O-16     0          0
-2         12          2    B-10     0          0
-3         12          2    B-11     0          0
-4         12          2   Zr-90     0          0
-5         12          2   Zr-91     0          0
-6         12          2   Zr-92     0          0
-7         12          2   Zr-94     0          0
-8         12          2   Zr-96     0          0
\ No newline at end of file
+a631b8a347f344d822e6300ed2576caa7c05a74daedeb4aaaabfb89570942cff1bbd47ad7f81306e668e12266404f7abdcf680fdfeb5a4835579892e32bf57e8
\ No newline at end of file
diff --git a/tests/test_mgxs_library_nuclides/test_mgxs_library_nuclides.py b/tests/test_mgxs_library_nuclides/test_mgxs_library_nuclides.py
index 173043cf04..da613d78a1 100644
--- a/tests/test_mgxs_library_nuclides/test_mgxs_library_nuclides.py
+++ b/tests/test_mgxs_library_nuclides/test_mgxs_library_nuclides.py
@@ -6,48 +6,45 @@ import glob
 import hashlib
 sys.path.insert(0, os.pardir)
 from testing_harness import PyAPITestHarness
+from input_set import PinCellInputSet
 import openmc
 import openmc.mgxs
 
 
 class MGXSTestHarness(PyAPITestHarness):
     def _build_inputs(self):
-
-        # The openmc.mgxs module needs a summary.h5 file
-        self._input_set.settings.output = {'summary': True}
+        # Set the input set to use the pincell model
+        self._input_set = PinCellInputSet()
 
         # Generate inputs using parent class routine
         super(MGXSTestHarness, self)._build_inputs()
 
         # Initialize a two-group structure
-        energy_groups = openmc.mgxs.EnergyGroups(group_edges=[0, 0.625e-6, 20.])
+        energy_groups = openmc.mgxs.EnergyGroups(group_edges=[0, 0.625e-6,
+                                                              20.])
 
         # Initialize MGXS Library for a few cross section types
-        self.mgxs_lib = openmc.mgxs.Library(self._input_set.geometry.geometry)
+        self.mgxs_lib = openmc.mgxs.Library(self._input_set.geometry)
         self.mgxs_lib.by_nuclide = True
-        self.mgxs_lib.mgxs_types = ['transport', 'nu-fission',
-                                    'nu-scatter matrix', 'chi']
+        # Test all MGXS types
+        self.mgxs_lib.mgxs_types = openmc.mgxs.MGXS_TYPES
         self.mgxs_lib.energy_groups = energy_groups
+        self.mgxs_lib.legendre_order = 3
         self.mgxs_lib.domain_type = 'material'
         self.mgxs_lib.build_library()
 
         # Initialize a tallies file
-        self._input_set.tallies = openmc.TalliesFile()
+        self._input_set.tallies = openmc.Tallies()
         self.mgxs_lib.add_to_tallies_file(self._input_set.tallies, merge=False)
         self._input_set.tallies.export_to_xml()
 
-    def _get_results(self, hash_output=False):
+    def _get_results(self, hash_output=True):
         """Digest info in the statepoint and return as a string."""
 
         # Read the statepoint file.
         statepoint = glob.glob(os.path.join(os.getcwd(), self._sp_name))[0]
         sp = openmc.StatePoint(statepoint)
 
-        # Read the summary file.
-        summary = glob.glob(os.path.join(os.getcwd(), 'summary.h5'))[0]
-        su = openmc.Summary(summary)
-        sp.link_with_summary(su)
-
         # Load the MGXS library from the statepoint
         self.mgxs_lib.load_from_statepoint(sp)
 
@@ -57,7 +54,7 @@ class MGXSTestHarness(PyAPITestHarness):
             for mgxs_type in self.mgxs_lib.mgxs_types:
                 mgxs = self.mgxs_lib.get_mgxs(domain, mgxs_type)
                 df = mgxs.get_pandas_dataframe()
-                outstr += df.to_string()
+                outstr += df.to_string() + '\n'
 
         # Hash the results if necessary
         if hash_output:
diff --git a/tests/test_multipole/inputs_true.dat b/tests/test_multipole/inputs_true.dat
new file mode 100644
index 0000000000..5890332edf
--- /dev/null
+++ b/tests/test_multipole/inputs_true.dat
@@ -0,0 +1 @@
+28df9e4c4729798d35741e6e9a4f910f3386c831acc54325d0e583bd989065a487cea6981068d8669bc80c3388b166c002c2127446936733f8f3f0da3e154bae
\ No newline at end of file
diff --git a/tests/test_multipole/results_true.dat b/tests/test_multipole/results_true.dat
new file mode 100644
index 0000000000..d138fa16a9
--- /dev/null
+++ b/tests/test_multipole/results_true.dat
@@ -0,0 +1,12 @@
+k-combined:
+1.457760E+00 1.119659E-02
+Cell
+	ID             =	11
+	Name           =	
+	Fill           =	Material 2
+	Region         =	-10000
+	Rotation       =	None
+	Temperature    =	[ 500.    0.  700.  800.]
+	Translation    =	None
+	Offset         =	None
+	Distribcell index=	1
diff --git a/tests/test_multipole/test_multipole.py b/tests/test_multipole/test_multipole.py
new file mode 100644
index 0000000000..7c3615ad72
--- /dev/null
+++ b/tests/test_multipole/test_multipole.py
@@ -0,0 +1,137 @@
+#!/usr/bin/env python
+import os
+import sys
+sys.path.insert(0, os.pardir)
+from testing_harness import TestHarness, PyAPITestHarness
+import openmc
+from openmc.stats import Box
+from openmc.source import Source
+
+
+class MultipoleTestHarness(PyAPITestHarness):
+    def _build_inputs(self):
+        ####################
+        # Materials
+        ####################
+
+        moderator = openmc.Material(material_id=1)
+        moderator.set_density('g/cc', 1.0)
+        moderator.add_nuclide('H-1', 2.0)
+        moderator.add_nuclide('O-16', 1.0)
+
+        dense_fuel = openmc.Material(material_id=2)
+        dense_fuel.set_density('g/cc', 4.5)
+        dense_fuel.add_nuclide('U-235', 1.0)
+
+        mats_file = openmc.Materials([moderator, dense_fuel])
+        mats_file.default_xs = '71c'
+        mats_file.export_to_xml()
+
+
+        ####################
+        # Geometry
+        ####################
+
+        c1 = openmc.Cell(cell_id=1)
+        c1.fill = moderator
+        mod_univ = openmc.Universe(universe_id=1)
+        mod_univ.add_cell(c1)
+
+        r0 = openmc.ZCylinder(R=0.3)
+        c11 = openmc.Cell(cell_id=11)
+        c11.region = -r0
+        c11.fill = dense_fuel
+        c11.temperature = [500, 0, 700, 800]
+        c12 = openmc.Cell(cell_id=12)
+        c12.region = +r0
+        c12.fill = moderator
+        fuel_univ = openmc.Universe(universe_id=11)
+        fuel_univ.add_cells((c11, c12))
+
+        lat = openmc.RectLattice(lattice_id=101)
+        lat.dimension = [2, 2]
+        lat.lower_left = [-2.0, -2.0]
+        lat.pitch = [2.0, 2.0]
+        lat.universes = [[fuel_univ]*2]*2
+        lat.outer = mod_univ
+
+        x0 = openmc.XPlane(x0=-3.0)
+        x1 = openmc.XPlane(x0=3.0)
+        y0 = openmc.YPlane(y0=-3.0)
+        y1 = openmc.YPlane(y0=3.0)
+        for s in [x0, x1, y0, y1]:
+            s.boundary_type = 'reflective'
+        c101 = openmc.Cell(cell_id=101)
+        c101.region = +x0 & -x1 & +y0 & -y1
+        c101.fill = lat
+        root_univ = openmc.Universe(universe_id=0)
+        root_univ.add_cell(c101)
+
+        geometry = openmc.Geometry()
+        geometry.root_universe = root_univ
+        geometry.export_to_xml()
+
+
+        ####################
+        # Settings
+        ####################
+
+        sets_file = openmc.Settings()
+        sets_file.batches = 5
+        sets_file.inactive = 0
+        sets_file.particles = 1000
+        sets_file.source = Source(space=Box([-1, -1, -1], [1, 1, 1]))
+        sets_file.output = {'summary': True}
+        sets_file.use_windowed_multipole=True
+        sets_file.export_to_xml()
+
+
+        ####################
+        # Plots
+        ####################
+
+        plots_file = openmc.Plots()
+
+        plot = openmc.Plot(plot_id=1)
+        plot.basis = 'xy'
+        plot.color = 'cell'
+        plot.filename = 'cellplot'
+        plot.origin = (0, 0, 0)
+        plot.width = (7, 7)
+        plot.pixels = (400, 400)
+        plots_file.append(plot)
+
+        plot = openmc.Plot(plot_id=2)
+        plot.basis = 'xy'
+        plot.color = 'mat'
+        plot.filename = 'matplot'
+        plot.origin = (0, 0, 0)
+        plot.width = (7, 7)
+        plot.pixels = (400, 400)
+        plots_file.append(plot)
+
+        plots_file.export_to_xml()
+
+    def execute_test(self):
+        if not 'OPENMC_MULTIPOLE_LIBRARY' in os.environ:
+            raise RuntimeError("The 'OPENMC_MULTIPOLE_LIBRARY' environment "
+                 "variable must be specified for this test.")
+        else:
+            super(MultipoleTestHarness, self).execute_test()
+
+    def _get_results(self):
+        outstr = super(MultipoleTestHarness, self)._get_results()
+        su = openmc.Summary('summary.h5')
+        outstr += str(su.get_cell_by_id(11))
+        return outstr
+
+    def _cleanup(self):
+        f = os.path.join(os.getcwd(), 'plots.xml')
+        if os.path.exists(f):
+            os.remove(f)
+        super(MultipoleTestHarness, self)._cleanup()
+
+
+if __name__ == '__main__':
+    harness = MultipoleTestHarness('statepoint.5.*')
+    harness.main()
diff --git a/tests/test_natural_element/results_true.dat b/tests/test_natural_element/results_true.dat
index 1c8668e128..cc4a12f749 100644
--- a/tests/test_natural_element/results_true.dat
+++ b/tests/test_natural_element/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-1.013112E+00 2.551515E-02
+1.034427E+00 1.583807E-02
diff --git a/tests/test_output/results_true.dat b/tests/test_output/results_true.dat
index 5263a6b7fd..7b2fbf37f5 100644
--- a/tests/test_output/results_true.dat
+++ b/tests/test_output/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-3.021779E-01 3.813358E-03
+2.943619E-01 3.309635E-03
diff --git a/tests/test_particle_restart_eigval/results_true.dat b/tests/test_particle_restart_eigval/results_true.dat
index f343978533..2bc4632935 100644
--- a/tests/test_particle_restart_eigval/results_true.dat
+++ b/tests/test_particle_restart_eigval/results_true.dat
@@ -1,16 +1,16 @@
 current batch:
-9.000000E+00
+1.000000E+01
 current gen:
 1.000000E+00
 particle id:
-5.550000E+02
+1.030000E+03
 run mode:
 k-eigenvalue
 particle weight:
 1.000000E+00
 particle energy:
-2.831611E-01
+3.158576E+00
 particle xyz:
-4.973847E+01 6.971699E+00 -5.201827E+01
+5.846530E+01 -3.717881E+01 -3.787515E+00
 particle uvw:
-6.945105E-01 6.295355E-01 -3.483393E-01
+6.197114E-01 -2.450461E-01 -7.455939E-01
diff --git a/tests/test_particle_restart_eigval/test_particle_restart_eigval.py b/tests/test_particle_restart_eigval/test_particle_restart_eigval.py
index 139cb2b9f5..59f76d93b8 100644
--- a/tests/test_particle_restart_eigval/test_particle_restart_eigval.py
+++ b/tests/test_particle_restart_eigval/test_particle_restart_eigval.py
@@ -7,5 +7,5 @@ from testing_harness import ParticleRestartTestHarness
 
 
 if __name__ == '__main__':
-    harness = ParticleRestartTestHarness('particle_9_555.*')
+    harness = ParticleRestartTestHarness('particle_10_1030.*')
     harness.main()
diff --git a/tests/test_particle_restart_fixed/results_true.dat b/tests/test_particle_restart_fixed/results_true.dat
index de42a0c68e..047760a2d5 100644
--- a/tests/test_particle_restart_fixed/results_true.dat
+++ b/tests/test_particle_restart_fixed/results_true.dat
@@ -3,14 +3,14 @@ current batch:
 current gen:
 1.000000E+00
 particle id:
-9.280000E+02
+1.440000E+02
 run mode:
 fixed source
 particle weight:
 1.000000E+00
 particle energy:
-4.412022E+00
+5.749729E+00
 particle xyz:
-5.572639E+00 -9.139472E+00 -1.974824E+00
+8.754675E+00 2.551620E+00 4.394350E-01
 particle uvw:
-1.410422E-01 5.330426E-01 -8.342498E-01
+-5.971721E-01 -4.845709E-01 6.391999E-01
diff --git a/tests/test_particle_restart_fixed/test_particle_restart_fixed.py b/tests/test_particle_restart_fixed/test_particle_restart_fixed.py
index 5af7454894..df0398c6eb 100644
--- a/tests/test_particle_restart_fixed/test_particle_restart_fixed.py
+++ b/tests/test_particle_restart_fixed/test_particle_restart_fixed.py
@@ -7,5 +7,5 @@ from testing_harness import ParticleRestartTestHarness
 
 
 if __name__ == '__main__':
-    harness = ParticleRestartTestHarness('particle_7_928.*')
+    harness = ParticleRestartTestHarness('particle_7_144.h5')
     harness.main()
diff --git a/tests/test_periodic/inputs_true.dat b/tests/test_periodic/inputs_true.dat
new file mode 100644
index 0000000000..d50d0b8592
--- /dev/null
+++ b/tests/test_periodic/inputs_true.dat
@@ -0,0 +1 @@
+af589996f2930337afe34ba9894098ff5efe3b29b6e927117220b718bf29b630ffdbc931754d465a8e8100125a8aa997dbe10aab322b43f69d59710573996a6d
\ No newline at end of file
diff --git a/tests/test_periodic/results_true.dat b/tests/test_periodic/results_true.dat
new file mode 100644
index 0000000000..b0bdb22c7d
--- /dev/null
+++ b/tests/test_periodic/results_true.dat
@@ -0,0 +1,2 @@
+k-combined:
+1.040109E+00 6.527490E-02
diff --git a/tests/test_periodic/tallies.xml b/tests/test_periodic/tallies.xml
new file mode 100644
index 0000000000..595d7c0ddd
--- /dev/null
+++ b/tests/test_periodic/tallies.xml
@@ -0,0 +1,14 @@
+<?xml version="1.0"?>
+<tallies>
+  <mesh id="1">
+    <type>regular</type>
+    <lower_left>-200. -1e50</lower_left>
+    <upper_right>200. 1e50</upper_right>
+    <dimension>50 1</dimension>
+  </mesh>
+  <tally id="1">
+    <estimator>collision</estimator>
+    <filter type="mesh" bins="1" />
+    <scores>fission</scores>
+  </tally>
+</tallies>
diff --git a/tests/test_periodic/test_periodic.py b/tests/test_periodic/test_periodic.py
new file mode 100644
index 0000000000..558514575a
--- /dev/null
+++ b/tests/test_periodic/test_periodic.py
@@ -0,0 +1,60 @@
+#!/usr/bin/env python
+
+import os
+import sys
+sys.path.insert(0, os.pardir)
+from testing_harness import PyAPITestHarness
+import openmc
+
+
+class PeriodicTest(PyAPITestHarness):
+    def _build_inputs(self):
+        # Define materials
+        water = openmc.Material(1)
+        water.add_nuclide('H-1', 2.0)
+        water.add_nuclide('O-16', 1.0)
+        water.add_s_alpha_beta('HH2O', '71t')
+        water.set_density('g/cc', 1.0)
+
+        fuel = openmc.Material(2)
+        fuel.add_nuclide('U-235', 1.0)
+        fuel.set_density('g/cc', 4.5)
+
+        materials = openmc.Materials((water, fuel))
+        materials.default_xs = '71c'
+        materials.export_to_xml()
+
+        # Define geometry
+        x_min = openmc.XPlane(1, x0=-5., boundary_type='periodic')
+        x_max = openmc.XPlane(2, x0=5., boundary_type='periodic')
+        x_max.periodic_surface = x_min
+
+        y_min = openmc.YPlane(3, y0=-5., boundary_type='periodic')
+        y_max = openmc.YPlane(4, y0=5., boundary_type='periodic')
+
+        z_min = openmc.ZPlane(5, z0=-5., boundary_type='reflective')
+        z_max = openmc.ZPlane(6, z0=5., boundary_type='reflective')
+        z_cyl = openmc.ZCylinder(7, x0=-2.5, y0=2.5, R=2.0)
+
+        outside_cyl = openmc.Cell(1, fill=water, region=(
+            +x_min & -x_max & +y_min & -y_max & +z_min & -z_max & +z_cyl))
+        inside_cyl = openmc.Cell(2, fill=fuel, region=+z_min & -z_max & -z_cyl)
+        root_universe = openmc.Universe(0, cells=(outside_cyl, inside_cyl))
+
+        geometry = openmc.Geometry()
+        geometry.root_universe = root_universe
+        geometry.export_to_xml()
+
+        # Define settings
+        settings = openmc.Settings()
+        settings.particles = 1000
+        settings.batches = 4
+        settings.inactive = 0
+        settings.source = openmc.Source(space=openmc.stats.Box(
+            *outside_cyl.region.bounding_box))
+        settings.export_to_xml()
+
+
+if __name__ == '__main__':
+    harness = PeriodicTest('statepoint.4.h5')
+    harness.main()
diff --git a/tests/test_plot_basis/geometry.xml b/tests/test_plot/geometry.xml
similarity index 100%
rename from tests/test_plot_basis/geometry.xml
rename to tests/test_plot/geometry.xml
diff --git a/tests/test_plot_basis/materials.xml b/tests/test_plot/materials.xml
similarity index 100%
rename from tests/test_plot_basis/materials.xml
rename to tests/test_plot/materials.xml
diff --git a/tests/test_plot_mask/plots.xml b/tests/test_plot/plots.xml
similarity index 58%
rename from tests/test_plot_mask/plots.xml
rename to tests/test_plot/plots.xml
index 72b40f72cf..d5e03f598f 100644
--- a/tests/test_plot_mask/plots.xml
+++ b/tests/test_plot/plots.xml
@@ -5,7 +5,8 @@
     <origin>0. 0. 0.</origin>
     <width>25 25</width>
     <pixels>200 200</pixels>
-    <mask components="1 3" background="255 255 255" />
+    <col_spec id="1" rgb="255 0 0" /> <!-- Red -->
+    <meshlines meshtype="entropy" linewidth="0" />
   </plot>
 
   <plot id="2" basis="xz">
@@ -15,11 +16,17 @@
     <mask components="1 3" background="255 255 255" />
   </plot>
 
-  <plot id="3" basis="yz">
+  <plot id="3" basis="yz" color="mat">
     <origin>0. 0. 0.</origin>
     <width>25 25</width>
     <pixels>200 200</pixels>
-    <mask components="1 3" background="255 255 255" />
+    <background>0 0 0</background>
+  </plot>
+
+  <plot id="4" type="voxel">
+    <pixels>100 100 10</pixels>
+    <origin>0. 0. 0.</origin>
+    <width>20 20 10</width>
   </plot>
 
 </plots>
diff --git a/tests/test_plot/results_true.dat b/tests/test_plot/results_true.dat
new file mode 100644
index 0000000000..ba8a49226a
--- /dev/null
+++ b/tests/test_plot/results_true.dat
@@ -0,0 +1 @@
+01ecda0f3820a49c8a41d8dc47d1e5c58767a04301621c2437231fcc04401ddea47b67d0529ca56a32d4d97b4f1416a2e0b6120d3bdc87d74a7e9889758a8808
\ No newline at end of file
diff --git a/tests/test_density_kgm3/settings.xml b/tests/test_plot/settings.xml
similarity index 66%
rename from tests/test_density_kgm3/settings.xml
rename to tests/test_plot/settings.xml
index a6fd5da19e..03985b3ae9 100644
--- a/tests/test_density_kgm3/settings.xml
+++ b/tests/test_plot/settings.xml
@@ -13,4 +13,10 @@
     </space>
   </source>
 
+  <entropy>
+    <dimension>5 4 3</dimension>
+    <lower_left>-10 -10 -10</lower_left>
+    <upper_right>10 10 10</upper_right>
+  </entropy>
+
 </settings>
diff --git a/tests/test_plot/test_plot.py b/tests/test_plot/test_plot.py
new file mode 100644
index 0000000000..606a1fd647
--- /dev/null
+++ b/tests/test_plot/test_plot.py
@@ -0,0 +1,70 @@
+#!/usr/bin/env python
+
+import glob
+import hashlib
+import os
+import sys
+sys.path.insert(0, os.pardir)
+from testing_harness import TestHarness
+
+import h5py
+
+import openmc
+
+
+class PlotTestHarness(TestHarness):
+    """Specialized TestHarness for running OpenMC plotting tests."""
+    def __init__(self, plot_names):
+        super(PlotTestHarness, self).__init__(None, False)
+        self._plot_names = plot_names
+
+    def _run_openmc(self):
+        returncode = openmc.plot_geometry(openmc_exec=self._opts.exe)
+        assert returncode == 0, 'OpenMC did not exit successfully.'
+
+    def _test_output_created(self):
+        """Make sure *.ppm has been created."""
+        for fname in self._plot_names:
+            assert os.path.exists(os.path.join(os.getcwd(), fname)), \
+                 'Plot output file does not exist.'
+
+    def _cleanup(self):
+        super(PlotTestHarness, self)._cleanup()
+        for fname in self._plot_names:
+            path = os.path.join(os.getcwd(), fname)
+            if os.path.exists(path):
+                #os.remove(path)
+                pass
+
+    def _get_results(self):
+        """Return a string hash of the plot files."""
+        outstr = bytes()
+
+        # Add PPM output to results
+        ppm_files = glob.glob(os.path.join(os.getcwd(), '*.ppm'))
+        for fname in sorted(ppm_files):
+            with open(fname, 'rb') as fh:
+                outstr += fh.read()
+
+        # Add voxel data to results
+        voxel_files = glob.glob(os.path.join(os.getcwd(), '*.voxel'))
+        for fname in sorted(voxel_files):
+            with h5py.File(fname, 'r') as fh:
+                outstr += fh['filetype'].value
+                outstr += fh['num_voxels'].value.tostring()
+                outstr += fh['lower_left'].value.tostring()
+                outstr += fh['voxel_width'].value.tostring()
+                outstr += fh['data'].value.tostring()
+
+        # Hash the information and return.
+        sha512 = hashlib.sha512()
+        sha512.update(outstr)
+        outstr = sha512.hexdigest()
+
+        return outstr
+
+
+if __name__ == '__main__':
+    harness = PlotTestHarness(('1_plot.ppm', '2_plot.ppm', '3_plot.ppm',
+                               '4_plot.voxel'))
+    harness.main()
diff --git a/tests/test_plot_background/geometry.xml b/tests/test_plot_background/geometry.xml
deleted file mode 100644
index bc56030e18..0000000000
--- a/tests/test_plot_background/geometry.xml
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0"?>
-<geometry>
-
-  <!-- Sphere with radius 10 -->
-  <surface id="1" type="sphere" coeffs="0 0 0 10" boundary="vacuum"/>
-  <cell id="1" material="1" region="-1" />
-    
-</geometry>
diff --git a/tests/test_plot_background/materials.xml b/tests/test_plot_background/materials.xml
deleted file mode 100644
index 315c0fa848..0000000000
--- a/tests/test_plot_background/materials.xml
+++ /dev/null
@@ -1,9 +0,0 @@
-<?xml version="1.0"?>
-<materials>
-
-  <material id="1">
-    <density value="4.5" units="g/cc" />
-    <nuclide name="U-235" xs="71c" ao="1.0" />
-  </material>
-
-</materials>
diff --git a/tests/test_plot_background/plots.xml b/tests/test_plot_background/plots.xml
deleted file mode 100644
index 879d2b30df..0000000000
--- a/tests/test_plot_background/plots.xml
+++ /dev/null
@@ -1,11 +0,0 @@
-<?xml version="1.0"?>
-<plots>
-
-  <plot id="1">
-    <origin>0. 0. 0.</origin>
-    <width>30. 30.</width>
-    <pixels>200 200</pixels>
-    <background>0 0 0</background>
-  </plot>
-
-</plots>
diff --git a/tests/test_plot_background/results_true.dat b/tests/test_plot_background/results_true.dat
deleted file mode 100644
index cea27e38e2..0000000000
--- a/tests/test_plot_background/results_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-d0a8c3cd2eb2b73430e0fcac2f5249c012ba678d08add40fc43563332e71873977b2271d1e93ba42b3c1298f987f7d01406f60115d2f1c0879d140a11b909598
\ No newline at end of file
diff --git a/tests/test_plot_background/settings.xml b/tests/test_plot_background/settings.xml
deleted file mode 100644
index a6fd5da19e..0000000000
--- a/tests/test_plot_background/settings.xml
+++ /dev/null
@@ -1,16 +0,0 @@
-<?xml version="1.0"?>
-<settings>
-
-  <eigenvalue>
-    <batches>10</batches>
-    <inactive>5</inactive>
-    <particles>1000</particles>
-  </eigenvalue>
-
-  <source>
-    <space type="box">
-      <parameters>-4 -4 -4  4  4  4</parameters>
-    </space>
-  </source>
-
-</settings>
diff --git a/tests/test_plot_background/test_plot_background.py b/tests/test_plot_background/test_plot_background.py
deleted file mode 100644
index 7890eca19d..0000000000
--- a/tests/test_plot_background/test_plot_background.py
+++ /dev/null
@@ -1,11 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import PlotTestHarness
-
-
-if __name__ == '__main__':
-    harness = PlotTestHarness(('1_plot.ppm', ))
-    harness.main()
diff --git a/tests/test_plot_basis/plots.xml b/tests/test_plot_basis/plots.xml
deleted file mode 100644
index 492236d376..0000000000
--- a/tests/test_plot_basis/plots.xml
+++ /dev/null
@@ -1,22 +0,0 @@
-<?xml version="1.0"?>
-<plots>
-
-  <plot id="1" basis="xy">
-    <origin>0. 0. 0.</origin>
-    <width>25 25</width>
-    <pixels>200 200</pixels>
-  </plot>
-
-  <plot id="2" basis="xz">
-    <origin>0. 0. 0.</origin>
-    <width>25 25</width>
-    <pixels>200 200</pixels>
-  </plot>
-
-  <plot id="3" basis="yz">
-    <origin>0. 0. 0.</origin>
-    <width>25 25</width>
-    <pixels>200 200</pixels>
-  </plot>
-
-</plots>
diff --git a/tests/test_plot_basis/results_true.dat b/tests/test_plot_basis/results_true.dat
deleted file mode 100644
index b1d5dc8534..0000000000
--- a/tests/test_plot_basis/results_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-368e0135c136d5c8a2dabb4c8085279dc7ac0bd81b2ec905bdf11ecb5fe99803868631cdff0b3ddec941323bcc661747d4c16edfd4f8d38582155bd6fd7e82e8
\ No newline at end of file
diff --git a/tests/test_plot_basis/settings.xml b/tests/test_plot_basis/settings.xml
deleted file mode 100644
index a6fd5da19e..0000000000
--- a/tests/test_plot_basis/settings.xml
+++ /dev/null
@@ -1,16 +0,0 @@
-<?xml version="1.0"?>
-<settings>
-
-  <eigenvalue>
-    <batches>10</batches>
-    <inactive>5</inactive>
-    <particles>1000</particles>
-  </eigenvalue>
-
-  <source>
-    <space type="box">
-      <parameters>-4 -4 -4  4  4  4</parameters>
-    </space>
-  </source>
-
-</settings>
diff --git a/tests/test_plot_basis/test_plot_basis.py b/tests/test_plot_basis/test_plot_basis.py
deleted file mode 100644
index d45479e256..0000000000
--- a/tests/test_plot_basis/test_plot_basis.py
+++ /dev/null
@@ -1,11 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import PlotTestHarness
-
-
-if __name__ == '__main__':
-    harness = PlotTestHarness(('1_plot.ppm', '2_plot.ppm', '3_plot.ppm'))
-    harness.main()
diff --git a/tests/test_plot_colspec/geometry.xml b/tests/test_plot_colspec/geometry.xml
deleted file mode 100644
index bc56030e18..0000000000
--- a/tests/test_plot_colspec/geometry.xml
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0"?>
-<geometry>
-
-  <!-- Sphere with radius 10 -->
-  <surface id="1" type="sphere" coeffs="0 0 0 10" boundary="vacuum"/>
-  <cell id="1" material="1" region="-1" />
-    
-</geometry>
diff --git a/tests/test_plot_colspec/materials.xml b/tests/test_plot_colspec/materials.xml
deleted file mode 100644
index 315c0fa848..0000000000
--- a/tests/test_plot_colspec/materials.xml
+++ /dev/null
@@ -1,9 +0,0 @@
-<?xml version="1.0"?>
-<materials>
-
-  <material id="1">
-    <density value="4.5" units="g/cc" />
-    <nuclide name="U-235" xs="71c" ao="1.0" />
-  </material>
-
-</materials>
diff --git a/tests/test_plot_colspec/plots.xml b/tests/test_plot_colspec/plots.xml
deleted file mode 100644
index 27edcb11b0..0000000000
--- a/tests/test_plot_colspec/plots.xml
+++ /dev/null
@@ -1,11 +0,0 @@
-<?xml version="1.0"?>
-<plots>
-
-  <plot id="1">
-    <origin>0. 0. 0.</origin>
-    <width>30. 30.</width>
-    <pixels>200 200</pixels>
-    <col_spec id="1" rgb="255 0 0" /> <!-- Red -->
-  </plot>
-
-</plots>
diff --git a/tests/test_plot_colspec/results_true.dat b/tests/test_plot_colspec/results_true.dat
deleted file mode 100644
index 0e4eb9a59b..0000000000
--- a/tests/test_plot_colspec/results_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-32acbbd7b0f777589b108333e4928b6ecd93bc9e553b04cc611da4079ff8738a03dd0667e7e17161708fde86180532f19907272356d23e8a827a736a5b4a697a
\ No newline at end of file
diff --git a/tests/test_plot_colspec/settings.xml b/tests/test_plot_colspec/settings.xml
deleted file mode 100644
index a6fd5da19e..0000000000
--- a/tests/test_plot_colspec/settings.xml
+++ /dev/null
@@ -1,16 +0,0 @@
-<?xml version="1.0"?>
-<settings>
-
-  <eigenvalue>
-    <batches>10</batches>
-    <inactive>5</inactive>
-    <particles>1000</particles>
-  </eigenvalue>
-
-  <source>
-    <space type="box">
-      <parameters>-4 -4 -4  4  4  4</parameters>
-    </space>
-  </source>
-
-</settings>
diff --git a/tests/test_plot_colspec/test_plot_colspec.py b/tests/test_plot_colspec/test_plot_colspec.py
deleted file mode 100644
index 7890eca19d..0000000000
--- a/tests/test_plot_colspec/test_plot_colspec.py
+++ /dev/null
@@ -1,11 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import PlotTestHarness
-
-
-if __name__ == '__main__':
-    harness = PlotTestHarness(('1_plot.ppm', ))
-    harness.main()
diff --git a/tests/test_plot_mask/geometry.xml b/tests/test_plot_mask/geometry.xml
deleted file mode 100644
index 83619d9f78..0000000000
--- a/tests/test_plot_mask/geometry.xml
+++ /dev/null
@@ -1,13 +0,0 @@
-<?xml version="1.0"?>
-<geometry>
-
-  <surface id="1" type="z-cylinder" coeffs="0 0 2" />
-  <surface id="2" type="z-cylinder" coeffs="0 0 5" />
-  <surface id="3" type="z-cylinder" coeffs="0 0 10" boundary="vacuum" />
-  <surface id="4" type="y-plane" coeffs="5" boundary="vacuum" />
-
-  <cell id="1" material="1" region="  -1 -4" />
-  <cell id="2" material="3" region="1 -2 -4" />
-  <cell id="3" material="2" region="2 -3 -4" />
-
-</geometry>
diff --git a/tests/test_plot_mask/materials.xml b/tests/test_plot_mask/materials.xml
deleted file mode 100644
index f90a5e7f81..0000000000
--- a/tests/test_plot_mask/materials.xml
+++ /dev/null
@@ -1,19 +0,0 @@
-<?xml version="1.0"?>
-<materials>
-
-  <material id="1">
-    <density value="4.5" units="g/cc" />
-    <nuclide name="U-235" xs="71c" ao="1.0" />
-  </material>
-
-  <material id="2">
-    <density value="4.5" units="g/cc" />
-    <nuclide name="U-235" xs="71c" ao="1.0" />
-  </material>
-
-  <material id="3">
-    <density value="4.5" units="g/cc" />
-    <nuclide name="U-235" xs="71c" ao="1.0" />
-  </material>
-
-</materials>
diff --git a/tests/test_plot_mask/results_true.dat b/tests/test_plot_mask/results_true.dat
deleted file mode 100644
index a1e323203d..0000000000
--- a/tests/test_plot_mask/results_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-a7cb65bf40c84c0540d45ff292c398f9ae51b3d9396e88b9b4e5cdf05e8730f409bddb53aec6d396058194c6293c5bd3ef39efd0b0f30f2423f696193c85176c
\ No newline at end of file
diff --git a/tests/test_plot_mask/settings.xml b/tests/test_plot_mask/settings.xml
deleted file mode 100644
index a6fd5da19e..0000000000
--- a/tests/test_plot_mask/settings.xml
+++ /dev/null
@@ -1,16 +0,0 @@
-<?xml version="1.0"?>
-<settings>
-
-  <eigenvalue>
-    <batches>10</batches>
-    <inactive>5</inactive>
-    <particles>1000</particles>
-  </eigenvalue>
-
-  <source>
-    <space type="box">
-      <parameters>-4 -4 -4  4  4  4</parameters>
-    </space>
-  </source>
-
-</settings>
diff --git a/tests/test_plot_mask/test_plot_mask.py b/tests/test_plot_mask/test_plot_mask.py
deleted file mode 100644
index d45479e256..0000000000
--- a/tests/test_plot_mask/test_plot_mask.py
+++ /dev/null
@@ -1,11 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import PlotTestHarness
-
-
-if __name__ == '__main__':
-    harness = PlotTestHarness(('1_plot.ppm', '2_plot.ppm', '3_plot.ppm'))
-    harness.main()
diff --git a/tests/test_quadric_surfaces/results_true.dat b/tests/test_quadric_surfaces/results_true.dat
index b2e02fdbb7..1f0dd54262 100644
--- a/tests/test_quadric_surfaces/results_true.dat
+++ b/tests/test_quadric_surfaces/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-9.706301E-01 4.351374E-02
+9.570770E-01 2.513234E-02
diff --git a/tests/test_reflective_plane/results_true.dat b/tests/test_reflective_plane/results_true.dat
index c5ba8e63fb..4860c1ed90 100644
--- a/tests/test_reflective_plane/results_true.dat
+++ b/tests/test_reflective_plane/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-2.276127E+00 4.678320E-03
+2.271202E+00 3.876146E-03
diff --git a/tests/test_resonance_scattering/geometry.xml b/tests/test_resonance_scattering/geometry.xml
deleted file mode 100644
index bc56030e18..0000000000
--- a/tests/test_resonance_scattering/geometry.xml
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0"?>
-<geometry>
-
-  <!-- Sphere with radius 10 -->
-  <surface id="1" type="sphere" coeffs="0 0 0 10" boundary="vacuum"/>
-  <cell id="1" material="1" region="-1" />
-    
-</geometry>
diff --git a/tests/test_resonance_scattering/inputs_true.dat b/tests/test_resonance_scattering/inputs_true.dat
new file mode 100644
index 0000000000..f2a875c7eb
--- /dev/null
+++ b/tests/test_resonance_scattering/inputs_true.dat
@@ -0,0 +1 @@
+ece83bb075ed8144af89ce7cebf1577dcb2489d2e9ce4afbe61a3e4398837e7a9aaa2ae0cea0a6542f51ca5e0d119b570c675ed1dca0d74237cd5fdce0b606a3
\ No newline at end of file
diff --git a/tests/test_resonance_scattering/materials.xml b/tests/test_resonance_scattering/materials.xml
deleted file mode 100644
index 52a8c04be2..0000000000
--- a/tests/test_resonance_scattering/materials.xml
+++ /dev/null
@@ -1,9 +0,0 @@
-<?xml version="1.0"?>
-<materials>
-
-  <material id="1">
-    <density value="4.5" units="g/cc" />
-    <nuclide name="U-238" xs="71c" ao="1.0" />
-  </material>
-
-</materials>
diff --git a/tests/test_resonance_scattering/results_true.dat b/tests/test_resonance_scattering/results_true.dat
index 0dda991cac..e7056e4fab 100644
--- a/tests/test_resonance_scattering/results_true.dat
+++ b/tests/test_resonance_scattering/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-6.842112E-02 8.480934E-04
+1.440556E+00 6.383274E-02
diff --git a/tests/test_resonance_scattering/settings.xml b/tests/test_resonance_scattering/settings.xml
deleted file mode 100644
index 7ce4f23ac7..0000000000
--- a/tests/test_resonance_scattering/settings.xml
+++ /dev/null
@@ -1,27 +0,0 @@
-<?xml version="1.0"?>
-<settings>
-
-  <resonance_scattering>
-    <scatterer>
-      <nuclide>U-238</nuclide>
-      <method>cxs</method>
-      <xs_label>92238.71c</xs_label>
-      <xs_label_0K>92238.71c</xs_label_0K>
-      <E_min>5.0e-6</E_min>
-      <E_max>40.0e-6</E_max>
-    </scatterer>
-  </resonance_scattering>
-
-  <eigenvalue>
-    <batches>10</batches>
-    <inactive>5</inactive>
-    <particles>1000</particles>
-  </eigenvalue>
-
-  <source>
-    <space type="box">
-      <parameters>-4 -4 -4  4  4  4</parameters>
-    </space>
-  </source>
-
-</settings>
diff --git a/tests/test_resonance_scattering/test_resonance_scattering.py b/tests/test_resonance_scattering/test_resonance_scattering.py
index 2a595f3e66..b752cf7f3b 100644
--- a/tests/test_resonance_scattering/test_resonance_scattering.py
+++ b/tests/test_resonance_scattering/test_resonance_scattering.py
@@ -3,9 +3,78 @@
 import os
 import sys
 sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness
+from testing_harness import PyAPITestHarness
+import openmc
+
+
+class ResonanceScatteringTestHarness(PyAPITestHarness):
+    def _build_inputs(self):
+        # Materials
+        mat = openmc.Material(material_id=1)
+        mat.set_density('g/cc', 1.0)
+        mat.add_nuclide('U-238', 1.0)
+        mat.add_nuclide('U-235', 0.02)
+        mat.add_nuclide('Pu-239', 0.02)
+        mat.add_nuclide('H-1', 20.0)
+
+        mats_file = openmc.Materials([mat])
+        mats_file.default_xs = '71c'
+        mats_file.export_to_xml()
+
+        # Geometry
+        dumb_surface = openmc.XPlane(x0=100)
+        dumb_surface.boundary_type = 'reflective'
+
+        c1 = openmc.Cell(cell_id=1)
+        c1.fill = mat
+        c1.region = -dumb_surface
+
+        root_univ = openmc.Universe(universe_id=0)
+        root_univ.add_cell(c1)
+
+        geometry = openmc.Geometry()
+        geometry.root_universe = root_univ
+        geometry.export_to_xml()
+
+        # Settings
+        nuclide = openmc.Nuclide('U-238', '71c')
+        nuclide.zaid = 92238
+        res_scatt_dbrc = openmc.ResonanceScattering()
+        res_scatt_dbrc.nuclide = nuclide
+        res_scatt_dbrc.nuclide_0K = nuclide # This is a bad idea! Just for tests
+        res_scatt_dbrc.method = 'DBRC'
+        res_scatt_dbrc.E_min = 1e-6
+        res_scatt_dbrc.E_max = 210e-6
+
+        nuclide = openmc.Nuclide('U-235', '71c')
+        nuclide.zaid = 92235
+        res_scatt_wcm = openmc.ResonanceScattering()
+        res_scatt_wcm.nuclide = nuclide
+        res_scatt_wcm.nuclide_0K = nuclide
+        res_scatt_wcm.method = 'WCM'
+        res_scatt_wcm.E_min = 1e-6
+        res_scatt_wcm.E_max = 210e-6
+
+        nuclide = openmc.Nuclide('Pu-239', '71c')
+        nuclide.zaid = 94239
+        res_scatt_ares = openmc.ResonanceScattering()
+        res_scatt_ares.nuclide = nuclide
+        res_scatt_ares.nuclide_0K = nuclide
+        res_scatt_ares.method = 'ARES'
+        res_scatt_ares.E_min = 1e-6
+        res_scatt_ares.E_max = 210e-6
+
+        sets_file = openmc.Settings()
+        sets_file.batches = 10
+        sets_file.inactive = 5
+        sets_file.particles = 1000
+        sets_file.source = openmc.source.Source(
+             space=openmc.stats.Box([-4, -4, -4], [4, 4, 4]))
+        sets_file.resonance_scattering = [res_scatt_dbrc, res_scatt_wcm,
+             res_scatt_ares]
+        sets_file.export_to_xml()
 
 
 if __name__ == '__main__':
-    harness = TestHarness('statepoint.10.*')
+    harness = ResonanceScatteringTestHarness('statepoint.10.*')
     harness.main()
diff --git a/tests/test_rotation/results_true.dat b/tests/test_rotation/results_true.dat
index 5263a6b7fd..7b2fbf37f5 100644
--- a/tests/test_rotation/results_true.dat
+++ b/tests/test_rotation/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-3.021779E-01 3.813358E-03
+2.943619E-01 3.309635E-03
diff --git a/tests/test_salphabeta/geometry.xml b/tests/test_salphabeta/geometry.xml
index f9caa6c883..2b978b9148 100644
--- a/tests/test_salphabeta/geometry.xml
+++ b/tests/test_salphabeta/geometry.xml
@@ -3,11 +3,13 @@
 
   <surface id="1" type="x-plane" coeffs="-10" boundary="vacuum"/>
   <surface id="2" type="x-plane" coeffs="-5" />
-  <surface id="3" type="x-plane" coeffs="5" />
-  <surface id="4" type="x-plane" coeffs="10" boundary="vacuum"/>
+  <surface id="3" type="x-plane" coeffs="0" />
+  <surface id="4" type="x-plane" coeffs="5" />
+  <surface id="5" type="x-plane" coeffs="10" boundary="vacuum"/>
 
   <cell id="1" material="1" region="1 -2" />
   <cell id="2" material="2" region="2 -3" />
   <cell id="3" material="3" region="3 -4" />
-    
+  <cell id="4" material="4" region="4 -5" />
+
 </geometry>
diff --git a/tests/test_salphabeta/materials.xml b/tests/test_salphabeta/materials.xml
index 9646e11159..b51395f184 100644
--- a/tests/test_salphabeta/materials.xml
+++ b/tests/test_salphabeta/materials.xml
@@ -23,6 +23,21 @@
     <nuclide name="Be-9" ao="1.0" />
     <nuclide name="O-16" ao="1.0" />
     <sab name="BeBeO" xs="71t" />
+    <sab name="OBeO" xs="71t" />
+  </material>
+
+  <material id="4">
+    <density value="5.90168" units="g/cm3" />
+    <nuclide name="H-1"    ao="0.3" />
+    <nuclide name="Zr-90"  ao="0.15" />
+    <nuclide name="Zr-91"  ao="0.1" />
+    <nuclide name="Zr-92"  ao="0.1" />
+    <nuclide name="Zr-94"  ao="0.05" />
+    <nuclide name="Zr-96"  ao="0.05" />
+    <nuclide name="U-235"  ao="0.1" />
+    <nuclide name="U-238"  ao="0.15" />
+    <sab name="ZrZrH" xs="71t" />
+    <sab name="HZrH" xs="71t" />
   </material>
 
 </materials>
diff --git a/tests/test_salphabeta/results_true.dat b/tests/test_salphabeta/results_true.dat
index a04ee8fc89..fb691f1686 100644
--- a/tests/test_salphabeta/results_true.dat
+++ b/tests/test_salphabeta/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-8.538165E-01 6.355606E-03
+8.331430E-01 3.074913E-03
diff --git a/tests/test_salphabeta_multiple/geometry.xml b/tests/test_salphabeta_multiple/geometry.xml
deleted file mode 100644
index 13eb601660..0000000000
--- a/tests/test_salphabeta_multiple/geometry.xml
+++ /dev/null
@@ -1,96 +0,0 @@
-<?xml version="1.0"?>
-<geometry>
-
-  <!-- pu-met-fast-021 case 2 -->
-
-  <surface id="1"  type="z-plane" coeffs="-17.51" boundary="vacuum" />
-  <surface id="2"  type="z-plane" coeffs="-2.57" />
-  <!-- Bottom Plutonium Core -->
-  <surface id="3"  type="z-plane" coeffs="-2.55" />
-  <surface id="4"  type="z-plane" coeffs="-2.37" />
-  <surface id="5"  type="z-plane" coeffs="-2.1" />
-  <surface id="6"  type="z-plane" coeffs="-2.06" />
-  <surface id="7"  type="z-plane" coeffs="-1.61" />
-  <surface id="8"  type="z-plane" coeffs="-1.57" />
-  <surface id="9"  type="z-plane" coeffs="-1.12" />
-  <surface id="10" type="z-plane" coeffs="-1.08" />
-  <surface id="11" type="z-plane" coeffs="-0.63" />
-  <surface id="12" type="z-plane" coeffs="-0.59" />
-  <surface id="13" type="z-plane" coeffs="-0.14" />
-  <!-- Middle Gap -->
-  <surface id="14" type="z-plane" coeffs="-0.12" />
-  <surface id="15" type="z-plane" coeffs="0.12" />
-  <!-- Top Plutonium Core -->
-  <surface id="16" type="z-plane" coeffs="0.14" />
-  <surface id="17" type="z-plane" coeffs="0.59" />
-  <surface id="18" type="z-plane" coeffs="0.63" />
-  <surface id="19" type="z-plane" coeffs="1.08" />
-  <surface id="20" type="z-plane" coeffs="1.12" />
-  <surface id="21" type="z-plane" coeffs="1.57" />
-  <surface id="22" type="z-plane" coeffs="1.61" />
-  <surface id="23" type="z-plane" coeffs="2.06" />
-  <surface id="24" type="z-plane" coeffs="2.1" />
-  <surface id="25" type="z-plane" coeffs="2.37" />
-  <surface id="26" type="z-plane" coeffs="2.55" />
-  <surface id="27" type="z-plane" coeffs="2.57" />
-  <!-- Top Beryllium Reflector -->
-  <surface id="28" type="z-plane" coeffs="2.59" />
-  <surface id="29" type="z-plane" coeffs="17.51" boundary="vacuum" />
-
-  <!-- Cylinders -->
-  <surface id="30" type="z-cylinder" coeffs="0 0 9.995" boundary="vacuum" />
-  <surface id="31" type="z-cylinder" coeffs="0 0 6.263" />
-  <surface id="32" type="z-cylinder" coeffs="0 0 6.063" />
-  <surface id="33" type="z-cylinder" coeffs="0 0 5.995" />
-
-
-  <!-- Bottom Beryllium Reflector -->
-  <cell id="1"  material="2" region=" 1  -2 -30" />
-
-  <!-- Top ZrH Reflector -->
-  <cell id="2"  material="7" region="28 -29 -30" />
-
-  <!-- Duralumin base and top -->
-  <cell id="3"  material="4" region=" 2  -4 -30  31" />
-  <cell id="4"  material="4" region="25 -28 -30  31" />
-
-  <!-- Duralumin top cylindrical shell -->
-  <cell id="6"  material="5" region="15 -28 -31  32" />
-
-  <!-- Duralumin bottom cylindrical shell -->
-  <cell id="7"  material="6" region=" 2 -14 -31  32" />
-
-  <!-- Steel Cover -->
-  <cell id="8"  material="3" region=" 2  -3 -33" />
-  <cell id="9"  material="3" region=" 5  -6 -33" />
-  <cell id="10" material="3" region=" 7  -8 -33" />
-  <cell id="11" material="3" region=" 9 -10 -33" />
-  <cell id="12" material="3" region="11 -12 -33" />
-  <cell id="13" material="3" region="13 -14 -33" />
-  <cell id="14" material="3" region="15 -16 -33" />
-  <cell id="15" material="3" region="17 -18 -33" />
-  <cell id="16" material="3" region="19 -20 -33" />
-  <cell id="17" material="3" region="21 -22 -33" />
-  <cell id="18" material="3" region="23 -24 -33" />
-  <cell id="19" material="3" region="26 -27 -33" />
-  <cell id="20" material="3" region=" 2 -14  33 -32" />
-  <cell id="21" material="3" region="15 -27  33 -32" />
-
-  <!-- Plutonium -->
-  <cell id="22" material="1" region=" 3  -5 -33" />
-  <cell id="23" material="1" region=" 6  -7 -33" />
-  <cell id="24" material="1" region=" 8  -9 -33" />
-  <cell id="25" material="1" region="10 -11 -33" />
-  <cell id="26" material="1" region="12 -13 -33" />
-  <cell id="27" material="1" region="16 -17 -33" />
-  <cell id="28" material="1" region="18 -19 -33" />
-  <cell id="29" material="1" region="20 -21 -33" />
-  <cell id="30" material="1" region="22 -23 -33" />
-  <cell id="31" material="1" region="24 -26 -33" />
-
-  <!-- Void -->
-  <cell id="32" material="void" region="14 -15 -31" />
-  <cell id="33" material="void" region=" 4 -25  31 -30" />
-  <cell id="34" material="void" region="27 -28 -30" />
-
-</geometry>
diff --git a/tests/test_salphabeta_multiple/materials.xml b/tests/test_salphabeta_multiple/materials.xml
deleted file mode 100644
index f1a0d6f393..0000000000
--- a/tests/test_salphabeta_multiple/materials.xml
+++ /dev/null
@@ -1,130 +0,0 @@
-<?xml version="1.0"?>
-<materials>
-
-  <!-- pu-met-fast-021 case 2, modified to include Zr-H to exercise
-       the capability to assign a single S(a,b) table to multiple nuclides -->
-
-  <default_xs>71c</default_xs>
-
-  <!-- Plutonium -->
-  <material id="1">
-    <density value="18.5345" units="g/cm3" />
-    <nuclide name="Pu-239" ao="4.4422e-02" />
-    <nuclide name="Pu-240" ao="2.1326e-03" />
-    <nuclide name="Pu-241" ao="9.2538e-05" />
-    <!-- C at 1.9515e-4 atom/b-cm -->
-    <nuclide name="C-Nat"  ao="1.9515e-04" />
-    <!-- Fe at 8.1943e-5 atom/b-cm -->
-    <nuclide name="Fe-54"  ao="4.7896e-06" />
-    <nuclide name="Fe-56"  ao="7.5186e-05" />
-    <nuclide name="Fe-57"  ao="1.7364e-06" />
-    <nuclide name="Fe-58"  ao="2.3108e-07" />
-  </material>
-
-  <!-- Berylium-oxide Reflector -->
-  <material id="2">
-    <density value="2.86750" units="g/cm3" />
-    <nuclide name="Be-9" ao="6.9041e-02" />
-    <!-- O at 6.9041e-2 -->
-    <nuclide name="O-16" ao="6.9015e-02" />
-    <nuclide name="O-17" ao="2.6236e-05" />
-    <sab name="BeBeO" xs="71t" />
-    <sab name="OBeO" xs="71t" />
-  </material>
-
-  <!-- Steel Cover -->
-  <material id="3">
-    <density value="6.9323" units="g/cm3" />
-    <!-- Fe at 5.1280e-2 atom/b-cm -->
-    <nuclide name="Fe-54" ao="2.9973e-03" />
-    <nuclide name="Fe-56" ao="4.7051e-02" />
-    <nuclide name="Fe-57" ao="1.0866e-03" />
-    <nuclide name="Fe-58" ao="1.4461e-04" />
-    <!-- C at 3.4757e-4 atom/b-cm -->
-    <nuclide name="C-Nat" ao="3.4757e-04" />
-    <!-- Si at 8.9185e-4 atom/b-cm -->
-    <nuclide name="Si-28" ao="8.2255e-04" />
-    <nuclide name="Si-29" ao="4.1767e-05" />
-    <nuclide name="Si-30" ao="2.7533e-05" />
-    <!-- Ti at 6.1034e-4 atom/b-cm -->
-    <nuclide name="Ti-46" ao="5.0353e-05" />
-    <nuclide name="Ti-47" ao="4.5409e-05" />
-    <nuclide name="Ti-48" ao="4.4994e-04" />
-    <nuclide name="Ti-49" ao="3.3019e-05" />
-    <nuclide name="Ti-50" ao="3.1616e-05" />
-    <!-- Cr at 1.4452e-2 atom/b-cm -->
-    <nuclide name="Cr-50" ao="6.2794e-04" />
-    <nuclide name="Cr-52" ao="1.2109e-02" />
-    <nuclide name="Cr-53" ao="1.3731e-03" />
-    <nuclide name="Cr-54" ao="3.4179e-04" />
-    <!-- Mn at 1.5198e-3 atom/b-cm -->
-    <nuclide name="Mn-55" ao="1.5198e-03" />
-    <!-- Ni at 7.1131e-3 atom/b-cm -->
-    <nuclide name="Ni-58" ao="4.8424e-03" />
-    <nuclide name="Ni-60" ao="1.8653e-03" />
-    <nuclide name="Ni-61" ao="8.1082e-05" />
-    <nuclide name="Ni-62" ao="2.5853e-04" />
-    <nuclide name="Ni-64" ao="6.5839e-05" />
-  </material>
-
-  <!-- Duralumin base and top -->
-  <material id="4">
-    <density value="2.78" units="g/cm3" />
-    <nuclide name="Al-27" ao="5.8077e-02" />
-    <!-- Mg at 1.0332e-3 atom/b-cm -->
-    <nuclide name="Mg-24" ao="8.1612e-04" />
-    <nuclide name="Mg-25" ao="1.0332e-04" />
-    <nuclide name="Mg-26" ao="1.1376e-04" />
-    <!-- Mn at 1.8284e-4 atom/b-cm -->
-    <nuclide name="Mn-55" ao="1.8284e-04" />
-    <!-- Cu at 1.1329e-3 atom/b-cm -->
-    <nuclide name="Cu-63" ao="7.8363e-04" />
-    <nuclide name="Cu-65" ao="3.4927e-04" />
-  </material>
-
-  <!-- Duralumin top cylindrical shell -->
-  <material id="5">
-    <density value="0.417" units="g/cm3" />
-    <nuclide name="Al-27" ao="8.7115e-03" />
-    <!-- Mg at 1.5498e-4 atom/b-cm -->
-    <nuclide name="Mg-24" ao="1.2242e-04" />
-    <nuclide name="Mg-25" ao="1.5498e-05" />
-    <nuclide name="Mg-26" ao="1.7063e-05" />
-    <!-- Mn at 2.7426e-5 atom/b-cm -->
-    <nuclide name="Mn-55" ao="2.7426e-05" />
-    <!-- Cu at 1.6993e-4 atom/b-cm -->
-    <nuclide name="Cu-63" ao="1.1754e-04" />
-    <nuclide name="Cu-65" ao="5.2389e-05" />
-  </material>
-
-  <!-- Duralumin bottom cylindrical shell -->
-  <material id="6">
-    <density value="1.8155" units="g/cm3" />
-    <nuclide name="Al-27" ao="3.7928e-2" />
-    <!-- Mg at 6.7475e-4 atom/b-cm -->
-    <nuclide name="Mg-24" ao="5.3299e-04" />
-    <nuclide name="Mg-25" ao="6.7475e-05" />
-    <nuclide name="Mg-26" ao="7.4290e-05" />
-    <!-- Mn at 1.1941e-4 atom/b-cm -->
-    <nuclide name="Mn-55" ao="1.1941e-04" />
-    <!-- Cu 7.3982e-4 atom/b-cm -->
-    <nuclide name="Cu-63" ao="5.1173e-04" />
-    <nuclide name="Cu-65" ao="2.2809e-04" />
-  </material>
-
-  <!-- Additional ZrH to replace one of the BeO reflectors -->
-  <material id="7">
-    <density value="5.90168" units="g/cm3" />
-    <nuclide name="H-1"    ao="0.3" />
-    <nuclide name="Zr-90"  ao="0.15" />
-    <nuclide name="Zr-91"  ao="0.1" />
-    <nuclide name="Zr-92"  ao="0.1" />
-    <nuclide name="Zr-94"  ao="0.05" />
-    <nuclide name="Zr-96"  ao="0.05" />
-    <nuclide name="U-235"  ao="0.1" />
-    <nuclide name="U-238"  ao="0.15" />
-    <sab name="ZrZrH" xs="71t" />
-    <sab name="HZrH" xs="71t" />
-  </material>
-
-</materials>
diff --git a/tests/test_salphabeta_multiple/results_true.dat b/tests/test_salphabeta_multiple/results_true.dat
deleted file mode 100644
index 593c5adc74..0000000000
--- a/tests/test_salphabeta_multiple/results_true.dat
+++ /dev/null
@@ -1,2 +0,0 @@
-k-combined:
-9.141547E-01 2.728809E-02
diff --git a/tests/test_salphabeta_multiple/settings.xml b/tests/test_salphabeta_multiple/settings.xml
deleted file mode 100644
index 4df1f124a6..0000000000
--- a/tests/test_salphabeta_multiple/settings.xml
+++ /dev/null
@@ -1,20 +0,0 @@
-<?xml version="1.0"?>
-<settings>
-
-  <!-- pu-met-fast-021 case 2 -->
-
-  <eigenvalue>
-    <batches>10</batches>
-    <inactive>5</inactive>
-    <particles>400</particles>
-  </eigenvalue>
-
-  <source>
-    <space>
-      <type>box</type>
-      <parameters>0 0 0 1 1 1</parameters>
-    </space>
-  </source>
-
-</settings>
-
diff --git a/tests/test_salphabeta_multiple/test_salphabeta_multiple.py b/tests/test_salphabeta_multiple/test_salphabeta_multiple.py
deleted file mode 100644
index 2a595f3e66..0000000000
--- a/tests/test_salphabeta_multiple/test_salphabeta_multiple.py
+++ /dev/null
@@ -1,11 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness
-
-
-if __name__ == '__main__':
-    harness = TestHarness('statepoint.10.*')
-    harness.main()
diff --git a/tests/test_score_MT/inputs_true.dat b/tests/test_score_MT/inputs_true.dat
deleted file mode 100644
index 3789a69cba..0000000000
--- a/tests/test_score_MT/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-63295b9d510370e65e63a3db627d47d286f5479e53c8eabeda9a5cb25ffe35becb636835aadad11691e34c23292fe11b5f688daee76d76ceac4b5dfd2f9ede4c
\ No newline at end of file
diff --git a/tests/test_score_MT/results_true.dat b/tests/test_score_MT/results_true.dat
deleted file mode 100644
index 44656963f0..0000000000
--- a/tests/test_score_MT/results_true.dat
+++ /dev/null
@@ -1,101 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-1.538090E-03
-1.381456E-06
-1.538090E-03
-1.381456E-06
-3.974412E-01
-3.209809E-02
-1.373550E+00
-3.796357E-01
-5.252455E-06
-2.290531E-11
-5.252455E-06
-2.290531E-11
-3.359792E-02
-2.267331E-04
-2.459115E-02
-1.233078E-04
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-7.004005E-05
-1.748739E-09
-8.104946E-02
-1.395618E-03
-tally 2:
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-2.000000E-01
-9.000000E-03
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-2.000000E-02
-2.000000E-04
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-tally 3:
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-1.408027E-03
-1.849607E-06
-1.408027E-03
-1.849607E-06
-3.946436E-01
-3.166261E-02
-1.288136E+00
-3.382059E-01
-2.179241E-05
-4.749090E-10
-2.179241E-05
-4.749090E-10
-3.146594E-02
-2.159308E-04
-4.278352E-02
-4.094478E-04
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-1.736514E-04
-1.245171E-08
-7.989710E-02
-1.377742E-03
diff --git a/tests/test_score_MT/test_score_MT.py b/tests/test_score_MT/test_score_MT.py
deleted file mode 100644
index dae86d418c..0000000000
--- a/tests/test_score_MT/test_score_MT.py
+++ /dev/null
@@ -1,35 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class ScoreMTTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(10, 21, 22, 23))
-        tallies = [openmc.Tally(tally_id=i) for i in range(1, 4)]
-        [t.add_filter(filt) for t in tallies]
-        [t.add_score('n2n') for t in tallies]
-        [t.add_score('16') for t in tallies]
-        [t.add_score('51') for t in tallies]
-        [t.add_score('102') for t in tallies]
-        tallies[0].estimator = 'tracklength'
-        tallies[1].estimator = 'analog'
-        tallies[2].estimator = 'collision'
-        self._input_set.tallies = openmc.TalliesFile()
-        [self._input_set.tallies.add_tally(t) for t in tallies]
-
-        super(ScoreMTTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(ScoreMTTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = ScoreMTTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_score_absorption/inputs_true.dat b/tests/test_score_absorption/inputs_true.dat
deleted file mode 100644
index c4c133600a..0000000000
--- a/tests/test_score_absorption/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-482760c362f56e453ce4b466083e77f84a461e636330d7cc2cb1cf7facced678a57a7c785ff9d039b3f575396cb435f99df05d6fa207f553c28ed3ce4f8151b3
\ No newline at end of file
diff --git a/tests/test_score_absorption/results_true.dat b/tests/test_score_absorption/results_true.dat
deleted file mode 100644
index 72661f77f4..0000000000
--- a/tests/test_score_absorption/results_true.dat
+++ /dev/null
@@ -1,29 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-0.000000E+00
-0.000000E+00
-2.533174E+00
-1.298118E+00
-2.453769E-02
-1.227715E-04
-3.869051E-01
-3.180828E-02
-tally 2:
-0.000000E+00
-0.000000E+00
-2.540000E+00
-1.293400E+00
-4.000000E-02
-6.000000E-04
-4.000000E-01
-3.600000E-02
-tally 3:
-0.000000E+00
-0.000000E+00
-2.422314E+00
-1.193460E+00
-4.285618E-02
-4.109734E-04
-3.832282E-01
-3.169516E-02
diff --git a/tests/test_score_absorption/test_score_absorption.py b/tests/test_score_absorption/test_score_absorption.py
deleted file mode 100644
index c7e3e130df..0000000000
--- a/tests/test_score_absorption/test_score_absorption.py
+++ /dev/null
@@ -1,32 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class ScoreAbsorptionTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(10, 21, 22, 23))
-        tallies = [openmc.Tally(tally_id=i) for i in range(1, 4)]
-        [t.add_filter(filt) for t in tallies]
-        [t.add_score('absorption') for t in tallies]
-        tallies[0].estimator = 'tracklength'
-        tallies[1].estimator = 'analog'
-        tallies[2].estimator = 'collision'
-        self._input_set.tallies = openmc.TalliesFile()
-        [self._input_set.tallies.add_tally(t) for t in tallies]
-
-        super(ScoreAbsorptionTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(ScoreAbsorptionTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = ScoreAbsorptionTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_score_current/results_true.dat b/tests/test_score_current/results_true.dat
index 936e2d04bc..d3ac03a709 100644
--- a/tests/test_score_current/results_true.dat
+++ b/tests/test_score_current/results_true.dat
@@ -1 +1 @@
-1e6945632c55491d4584f4976cc6f5c7340874703cfaf739dd956b7124b4260955efb5b6ba041b32536f9a74572d071e0293dced55a41ea305223f698b734c2a
\ No newline at end of file
+a9310752363eb059ff40f16ac9716b41ccab6ec6607d29f498069318745e485d18d784264304cc2586865bd58cef7587203cc22a1d485c58ddd63c14c0defdb9
\ No newline at end of file
diff --git a/tests/test_score_delayed_nufission/inputs_true.dat b/tests/test_score_delayed_nufission/inputs_true.dat
deleted file mode 100644
index 5a0ec8a211..0000000000
--- a/tests/test_score_delayed_nufission/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-f3c246a1c83b1283163b22069f78231e3f6623fa3c2eb664ce400d0fff07105b6106d0fa8c6dfd49512a7eb676c80e4ee602e19063a9fc453394fe07a94a1bdd
\ No newline at end of file
diff --git a/tests/test_score_delayed_nufission/results_true.dat b/tests/test_score_delayed_nufission/results_true.dat
deleted file mode 100644
index bc2b8e8a7f..0000000000
--- a/tests/test_score_delayed_nufission/results_true.dat
+++ /dev/null
@@ -1,29 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-1.711611E-02
-5.967549E-05
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-1.026930E-02
-2.198717E-05
-tally 2:
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-1.976462E-02
-1.953328E-04
-tally 3:
-1.686299E-02
-5.765477E-05
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-1.061240E-02
-2.305936E-05
diff --git a/tests/test_score_delayed_nufission/test_score_delayed_nufission.py b/tests/test_score_delayed_nufission/test_score_delayed_nufission.py
deleted file mode 100644
index 0738520e29..0000000000
--- a/tests/test_score_delayed_nufission/test_score_delayed_nufission.py
+++ /dev/null
@@ -1,32 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class ScoreDelayedNuFissionTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(21, 22, 23, 27))
-        tallies = [openmc.Tally(tally_id=i) for i in range(1, 4)]
-        [t.add_filter(filt) for t in tallies]
-        [t.add_score('delayed-nu-fission') for t in tallies]
-        tallies[0].estimator = 'tracklength'
-        tallies[1].estimator = 'analog'
-        tallies[2].estimator = 'collision'
-        self._input_set.tallies = openmc.TalliesFile()
-        [self._input_set.tallies.add_tally(t) for t in tallies]
-
-        super(ScoreDelayedNuFissionTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(ScoreDelayedNuFissionTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = ScoreDelayedNuFissionTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_score_events/inputs_true.dat b/tests/test_score_events/inputs_true.dat
deleted file mode 100644
index bb0fef8e5d..0000000000
--- a/tests/test_score_events/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-a97ae7049ac8c30b838987a3e87cbe5ff70b004ee0434e6204931def46c4c099bfef06e74658dab1114cc1035d3f404211a9bc94ef96e9cfb5b788da39d17bbd
\ No newline at end of file
diff --git a/tests/test_score_events/results_true.dat b/tests/test_score_events/results_true.dat
deleted file mode 100644
index 34b114fbcb..0000000000
--- a/tests/test_score_events/results_true.dat
+++ /dev/null
@@ -1,12 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-6.520000E+01
-8.551888E+02
-4.035000E+01
-3.351119E+02
-tally 2:
-1.739000E+01
-6.083290E+01
-1.104000E+01
-2.498260E+01
diff --git a/tests/test_score_events/test_score_events.py b/tests/test_score_events/test_score_events.py
deleted file mode 100644
index dce944592e..0000000000
--- a/tests/test_score_events/test_score_events.py
+++ /dev/null
@@ -1,31 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class ScoreEventsTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(21, 27))
-        tallies = [openmc.Tally(tally_id=i) for i in range(1, 3)]
-        [t.add_filter(filt) for t in tallies]
-        [t.add_score('events') for t in tallies]
-        tallies[0].estimator = 'tracklength'
-        tallies[1].estimator = 'analog'
-        self._input_set.tallies = openmc.TalliesFile()
-        [self._input_set.tallies.add_tally(t) for t in tallies]
-
-        super(ScoreEventsTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(ScoreEventsTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = ScoreEventsTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_score_fission/inputs_true.dat b/tests/test_score_fission/inputs_true.dat
deleted file mode 100644
index d90ca274ee..0000000000
--- a/tests/test_score_fission/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-5a0461d03b0d9653ee35fded4be23e9b8316e3b7e21d352f822bc1f9763c03e9edab922bdc431f30d2a647c4216d45deba396bf56203027a328b7b28d970e0b8
\ No newline at end of file
diff --git a/tests/test_score_fission/results_true.dat b/tests/test_score_fission/results_true.dat
deleted file mode 100644
index 2b28cc825c..0000000000
--- a/tests/test_score_fission/results_true.dat
+++ /dev/null
@@ -1,29 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-1.156315E+00
-2.733527E-01
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-6.971594E-01
-1.004973E-01
-tally 2:
-1.225263E+00
-3.054971E-01
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-6.475958E-01
-8.567154E-02
-tally 3:
-1.131528E+00
-2.612886E-01
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-7.021712E-01
-1.008605E-01
diff --git a/tests/test_score_fission/test_score_fission.py b/tests/test_score_fission/test_score_fission.py
deleted file mode 100644
index 4026c0cabf..0000000000
--- a/tests/test_score_fission/test_score_fission.py
+++ /dev/null
@@ -1,32 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class ScoreFissionTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(21, 22, 23, 27))
-        tallies = [openmc.Tally(tally_id=i) for i in range(1, 4)]
-        [t.add_filter(filt) for t in tallies]
-        [t.add_score('fission') for t in tallies]
-        tallies[0].estimator = 'tracklength'
-        tallies[1].estimator = 'analog'
-        tallies[2].estimator = 'collision'
-        self._input_set.tallies = openmc.TalliesFile()
-        [self._input_set.tallies.add_tally(t) for t in tallies]
-
-        super(ScoreFissionTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(ScoreFissionTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = ScoreFissionTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_score_flux/inputs_true.dat b/tests/test_score_flux/inputs_true.dat
deleted file mode 100644
index 2e7358c49e..0000000000
--- a/tests/test_score_flux/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-33b7b97f55a337d7001e7927517db6d36d512efec01fa5512c80bbc76b0b581f691a72a3810251aa97491b8cdf25a8ddcc9c9b3e3f54ccc6c315a84e715567d3
\ No newline at end of file
diff --git a/tests/test_score_flux/results_true.dat b/tests/test_score_flux/results_true.dat
deleted file mode 100644
index 5c366ea8c7..0000000000
--- a/tests/test_score_flux/results_true.dat
+++ /dev/null
@@ -1,41 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-3.890713E+01
-3.046363E+02
-1.366220E+01
-3.758161E+01
-6.561669E+01
-8.680729E+02
-2.382728E+01
-1.170590E+02
-8.047875E+00
-1.334796E+01
-4.056568E+01
-3.389623E+02
-tally 2:
-3.862543E+01
-2.993190E+02
-1.438678E+01
-4.193571E+01
-6.400634E+01
-8.298077E+02
-2.426423E+01
-1.215124E+02
-7.600812E+00
-1.199814E+01
-4.104875E+01
-3.455300E+02
-tally 3:
-3.862543E+01
-2.993190E+02
-1.438678E+01
-4.193571E+01
-6.400634E+01
-8.298077E+02
-2.426423E+01
-1.215124E+02
-7.600812E+00
-1.199814E+01
-4.104875E+01
-3.455300E+02
diff --git a/tests/test_score_flux/test_score_flux.py b/tests/test_score_flux/test_score_flux.py
deleted file mode 100644
index 1eea55f45f..0000000000
--- a/tests/test_score_flux/test_score_flux.py
+++ /dev/null
@@ -1,32 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class ScoreFluxTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(21, 22, 23, 27, 28, 29))
-        tallies = [openmc.Tally(tally_id=i) for i in range(1, 4)]
-        [t.add_filter(filt) for t in tallies]
-        [t.add_score('flux') for t in tallies]
-        tallies[0].estimator = 'tracklength'
-        tallies[1].estimator = 'analog'
-        tallies[2].estimator = 'collision'
-        self._input_set.tallies = openmc.TalliesFile()
-        [self._input_set.tallies.add_tally(t) for t in tallies]
-
-        super(ScoreFluxTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(ScoreFluxTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = ScoreFluxTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_score_flux_yn/inputs_true.dat b/tests/test_score_flux_yn/inputs_true.dat
deleted file mode 100644
index c7a1a1b52e..0000000000
--- a/tests/test_score_flux_yn/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-b1a63345fc721f87c8fc25babb06741b585ee5dff5f29bb6debfbabb2ad57cb762d98c14e544df998a27bc725fb2704092fcdde54315ff832dff96c3641551d0
\ No newline at end of file
diff --git a/tests/test_score_flux_yn/results_true.dat b/tests/test_score_flux_yn/results_true.dat
deleted file mode 100644
index 28a1babb04..0000000000
--- a/tests/test_score_flux_yn/results_true.dat
+++ /dev/null
@@ -1,1314 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-3.890713E+01
-3.046363E+02
-1.366220E+01
-3.758161E+01
-6.561669E+01
-8.680729E+02
-2.382728E+01
-1.170590E+02
-8.047875E+00
-1.334796E+01
-4.056568E+01
-3.389623E+02
-tally 2:
-3.890713E+01
-3.046363E+02
--1.623579E-01
-4.602199E-02
-4.860074E-01
-5.999399E-01
--7.895692E-01
-2.803790E-01
-2.525526E-01
-8.261176E-02
-9.103525E-02
-2.246700E-01
-4.583205E-01
-8.444556E-02
--1.246553E-01
-2.351010E-01
--3.534581E-01
-1.247916E-01
--3.700473E-01
-5.215562E-02
--1.831625E-01
-1.927381E-01
--1.540114E-01
-1.918221E-02
--1.266458E-01
-1.455875E-01
--6.796869E-01
-3.911926E-01
-1.987931E-02
-4.966442E-02
-4.443797E-01
-8.842717E-02
--1.073855E-01
-4.912428E-02
--3.999416E-02
-4.440138E-02
-2.857919E-01
-6.935717E-02
-4.174851E-01
-5.485570E-02
--2.178958E-01
-8.052149E-02
--1.179644E-02
-6.709330E-02
-8.843286E-01
-2.749681E-01
-2.935079E-01
-3.032897E-02
--1.809434E-01
-1.902413E-01
--2.091991E-01
-1.061912E-01
--7.137275E-02
-4.397656E-02
-2.311558E-01
-4.680679E-02
-9.927573E-02
-1.844111E-01
--2.821437E-02
-7.293762E-02
-6.224251E-01
-1.028351E-01
-4.136440E-01
-5.198207E-02
--7.833133E-02
-1.192960E-02
-1.041586E-01
-1.587417E-01
--3.595677E-01
-3.086335E-01
--2.096284E-01
-7.881012E-02
-1.366220E+01
-3.758161E+01
-1.461402E-02
-3.260482E-03
-8.325893E-02
-6.248769E-02
--2.785736E-01
-3.698417E-02
-1.932396E-03
-1.561742E-02
-8.063397E-02
-3.598680E-02
-8.565555E-02
-5.344369E-03
--3.899905E-02
-2.422867E-02
--1.215439E-01
-9.193858E-03
--1.982614E-01
-1.045860E-02
--7.712629E-02
-2.199979E-02
-3.626484E-02
-9.872078E-04
--6.305159E-02
-1.645879E-02
--3.052155E-01
-5.620564E-02
-3.507115E-02
-1.056383E-02
-1.297490E-02
-5.889958E-03
--1.208752E-02
-7.323602E-03
--3.441007E-03
-1.841496E-02
-5.543442E-02
-1.186636E-02
-8.000436E-02
-3.703835E-03
--3.636792E-02
-1.490603E-02
-8.753196E-02
-7.958027E-03
-2.066727E-01
-1.414130E-02
-3.652482E-02
-8.380395E-04
--1.652432E-01
-1.878732E-02
--1.375567E-01
-1.302400E-02
-3.692057E-03
-6.312506E-03
-9.016211E-02
-6.699735E-03
--5.875401E-02
-1.731945E-02
--3.960008E-02
-3.595906E-03
-1.653510E-01
-9.277293E-03
-4.064973E-02
-2.794606E-03
--1.729061E-02
-3.219772E-03
-5.764808E-02
-1.861051E-02
--5.970583E-02
-2.070164E-02
--6.739411E-02
-1.063341E-02
-6.561669E+01
-8.680729E+02
--7.938430E-01
-2.994198E-01
-9.278084E-01
-1.861899E+00
--1.432236E+00
-7.429647E-01
-7.460836E-02
-5.946808E-01
-6.140731E-02
-3.175177E-01
-1.212677E+00
-5.125288E-01
-1.952865E-02
-5.468421E-01
--2.965796E-01
-1.123288E-01
--5.334195E-01
-1.589612E-01
--6.340814E-01
-4.874650E-01
--4.264003E-02
-9.109571E-03
--4.323424E-01
-3.370329E-01
--1.186876E+00
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--2.420825E-01
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--2.684345E-01
-9.799236E-02
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-2.074622E-01
-5.412719E-01
-3.193584E-01
-1.070173E+00
-3.266747E-01
-2.657850E-01
-1.599950E-01
--4.694853E-01
-2.738937E-01
--7.761977E-01
-2.561652E-01
-3.673179E-02
-9.486916E-02
-3.309909E-01
-1.095243E-01
-1.623761E-01
-2.874582E-01
-2.846296E-01
-2.430397E-01
-7.384842E-01
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--2.917525E-01
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-1.634324E-01
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--4.329582E-01
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--2.719362E-01
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-1.170590E+02
--4.718326E-01
-1.961501E-01
-1.612551E-02
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--6.390587E-01
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-2.290989E-01
-3.758858E-02
--1.568179E-01
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--2.363058E-01
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-4.350800E-02
-1.031680E-01
--2.956828E-01
-2.515141E-02
-4.835878E-01
-8.614200E-02
--5.365970E-02
-8.404087E-02
-6.079969E-02
-3.684343E-02
--1.313088E-02
-1.488843E-02
--2.603258E-02
-2.900625E-02
-1.249213E-01
-2.737277E-02
--4.491422E-01
-9.482600E-02
--1.095589E-01
-3.711500E-02
-2.248159E-01
-2.815827E-02
--5.976009E-02
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-6.097208E-02
-5.393315E-02
-3.449714E-02
-4.332442E-02
-1.030757E-01
-2.839453E-02
--4.399117E-01
-8.887569E-02
--4.564910E-01
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--2.528382E-01
-1.217655E-01
--3.443316E-01
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-5.505588E-02
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--8.326640E-02
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-2.884542E-02
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--2.572510E-01
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-1.334796E+01
--1.707535E-01
-3.290927E-02
-1.024687E-01
-1.308811E-02
--1.805451E-01
-1.696222E-02
-3.519587E-02
-7.546726E-03
--1.034933E-01
-2.224207E-02
--1.580512E-01
-2.369625E-02
--4.302961E-02
-1.635623E-02
--2.992903E-02
-5.190220E-03
-2.130862E-01
-1.186351E-02
--3.321696E-02
-7.972404E-03
-4.992040E-02
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-1.261320E-02
-2.436872E-03
-8.314024E-04
-5.360616E-03
--6.318247E-02
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--1.373600E-01
-1.030707E-02
-1.511677E-03
-3.467685E-03
-1.923485E-02
-8.106508E-04
--1.180094E-01
-4.381376E-03
--2.798056E-02
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--7.689499E-02
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--5.842586E-02
-1.380713E-03
--9.946341E-02
-7.085062E-03
--8.061825E-02
-8.679468E-03
--9.229524E-03
-9.187483E-03
--1.048310E-01
-3.506026E-03
-3.666209E-02
-3.259203E-03
-1.190727E-01
-4.935341E-03
--7.391655E-02
-2.805554E-03
-2.029126E-02
-2.497736E-03
-2.787185E-02
-5.677987E-04
-6.873108E-02
-1.287727E-02
--5.262840E-02
-3.190440E-03
-3.910911E-02
-8.661121E-03
-1.076197E-01
-5.456176E-03
--7.476066E-02
-2.693605E-03
-4.056568E+01
-3.389623E+02
--6.428633E-01
-6.128893E-01
-4.878518E-01
-2.130257E-01
--9.548044E-01
-4.556949E-01
-2.234940E-01
-1.006817E-01
-1.080276E-01
-5.980158E-01
--3.639229E-01
-3.120105E-01
-3.237506E-01
-3.451548E-01
-1.143081E-01
-7.924550E-02
-6.456733E-01
-2.424413E-01
-1.478136E-01
-1.458665E-01
-2.134798E-02
-9.102875E-02
-3.633264E-01
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--2.213946E-01
-1.253249E-01
--3.153847E-01
-1.094273E-01
--7.161113E-01
-2.275500E-01
--2.461979E-01
-1.484452E-01
-2.332886E-01
-9.715521E-02
--7.029988E-02
-1.835254E-02
--1.982842E-01
-9.722998E-02
--2.089693E-01
-2.271404E-01
-7.316104E-02
-3.974665E-02
--3.266640E-01
-8.054809E-02
--5.126088E-01
-3.234942E-01
--3.048753E-01
-3.439501E-01
--4.872647E-01
-9.473730E-02
-1.590200E-01
-3.613462E-02
-4.641787E-01
-1.671339E-01
--1.391114E-01
-3.581561E-02
-2.209343E-01
-1.489367E-02
-3.015665E-01
-4.265694E-02
-1.334716E-01
-2.321929E-01
--3.702914E-01
-1.699549E-01
-8.891532E-02
-1.708595E-01
-6.123686E-01
-1.429184E-01
--5.891300E-01
-1.085467E-01
-tally 3:
-3.862543E+01
-2.993190E+02
--5.083613E-01
-2.933365E-01
--4.356793E-01
-6.676831E-01
--6.093148E-01
-5.685331E-01
-2.512276E-01
-1.308652E-01
--1.075955E+00
-4.775270E-01
-3.660307E-01
-1.627691E-01
-5.402149E-01
-2.324946E-01
--3.887573E-01
-1.028105E-01
-4.324152E-01
-1.015147E-01
-3.306993E-02
-8.425069E-02
-2.127456E-01
-5.435453E-02
-2.977294E-01
-1.088039E-01
--1.055079E+00
-3.590635E-01
--6.740592E-01
-2.606281E-01
-3.329512E-01
-1.587428E-01
--1.248691E-01
-1.659045E-01
-2.306000E-01
-1.062057E-01
-9.127791E-02
-2.649459E-01
-2.629881E-01
-4.786229E-02
-2.286813E-01
-2.363629E-02
-6.338613E-01
-1.118828E-01
-7.466647E-01
-1.424535E-01
-7.955161E-02
-1.003327E-02
-1.082691E-01
-2.727882E-02
--5.295185E-01
-1.335133E-01
--6.321517E-01
-1.422916E-01
-1.236137E-01
-2.041422E-01
--5.389265E-02
-1.852888E-01
-3.746082E-01
-5.580885E-02
-1.383528E-01
-2.754456E-01
-5.081204E-01
-1.886515E-01
--4.022264E-01
-1.417397E-01
--3.377771E-01
-6.673888E-02
-1.170109E-01
-1.783182E-02
--2.097916E-01
-7.139323E-02
-1.438678E+01
-4.193571E+01
--6.547124E-01
-1.780450E-01
-2.207489E-01
-2.115835E-01
-4.952323E-02
-3.039341E-01
-6.681546E-01
-1.389250E-01
--4.078026E-02
-4.393667E-02
--8.695509E-01
-2.850853E-01
--1.792062E-01
-7.367253E-02
--5.657500E-01
-2.115125E-01
--8.525189E-02
-2.541971E-02
-5.227867E-02
-2.008468E-02
-6.825349E-02
-5.316522E-02
-3.763076E-01
-7.112554E-02
--1.279973E-02
-1.883096E-01
-7.775189E-02
-6.874374E-02
-1.119537E-01
-8.467755E-02
--1.600632E-01
-8.650448E-02
-6.210095E-01
-1.094309E-01
--9.997484E-02
-3.935353E-02
--2.300525E-01
-2.351925E-02
-2.486103E-02
-3.125565E-02
-1.289518E-02
-2.879251E-02
--3.166559E-01
-2.931428E-02
--1.379285E-02
-2.416257E-02
-1.220552E-02
-5.154030E-02
--1.431676E-01
-3.434080E-02
-8.148581E-02
-4.218412E-02
-8.541678E-03
-6.396306E-02
--7.851012E-03
-5.799658E-02
-2.435723E-01
-6.744263E-02
--2.429877E-01
-6.966516E-02
--1.638644E-01
-2.058798E-02
--8.986584E-03
-1.374824E-02
-3.547454E-01
-7.765460E-02
--1.570173E-01
-6.916960E-02
--1.056941E-02
-7.626528E-03
-6.400634E+01
-8.298077E+02
--3.894111E-01
-8.617494E-01
-1.796567E-01
-1.065356E+00
--1.561037E+00
-7.701475E-01
--2.237530E-01
-2.259442E-01
-1.109999E+00
-6.179412E-01
-1.636912E+00
-7.887441E-01
-4.661183E-01
-4.191138E-01
--1.040546E+00
-2.971961E-01
-1.044850E-01
-1.493530E-01
--4.991935E-01
-3.222404E-01
--4.205099E-01
-2.734911E-01
--7.583139E-01
-3.000853E-01
--3.750811E-01
-1.348273E-01
--6.355508E-01
-3.666139E-01
-5.233787E-01
-1.292414E-01
--2.869538E-02
-9.115092E-02
-6.851052E-01
-3.061040E-01
-1.703522E-01
-7.300335E-02
-4.541075E-01
-4.438507E-01
--2.674857E-01
-4.718588E-01
-3.022517E-02
-1.136781E-01
-5.755596E-01
-2.688162E-01
-2.698373E-01
-1.403188E-01
-8.772347E-01
-3.503562E-01
--4.258508E-01
-1.400825E-01
--1.384853E-01
-4.924947E-02
--1.009402E-01
-2.039230E-01
--1.339732E-01
-4.772083E-02
--3.249636E-01
-4.339747E-01
-1.564400E-01
-2.703717E-01
-2.536360E-01
-8.543919E-02
--3.622063E-01
-7.442240E-02
--2.074953E-02
-1.355614E-01
--3.909820E-02
-1.007999E-01
-3.162815E-01
-9.656425E-02
-2.426423E+01
-1.215124E+02
--9.628829E-01
-3.563586E-01
-2.964625E-01
-9.739638E-02
--3.680881E-01
-3.484018E-01
-4.339143E-01
-7.590564E-02
-4.633394E-02
-1.080030E-01
-3.091634E-01
-1.246585E-01
-4.520500E-02
-1.095704E-01
-2.479383E-01
-1.138276E-01
-6.457108E-02
-6.833667E-02
--5.623363E-02
-1.087254E-01
-3.675294E-01
-9.602246E-02
--1.459951E-01
-9.440544E-02
--6.817672E-02
-4.978066E-02
-1.076782E-02
-1.697440E-01
--1.024501E-02
-1.184830E-01
--1.654178E-01
-1.689209E-02
--1.006214E-01
-3.392546E-02
-5.070063E-01
-7.598100E-02
-2.251704E-01
-7.867348E-02
--1.693789E-01
-2.069974E-01
--2.790249E-01
-2.674643E-02
-3.888604E-01
-3.649330E-02
-7.614452E-02
-7.098023E-02
-1.236282E-02
-5.476895E-02
--3.151637E-01
-3.543466E-02
--6.363562E-01
-9.323507E-02
-2.808153E-01
-8.537981E-02
-2.197639E-01
-3.393653E-02
-8.660625E-02
-1.575544E-02
-3.733826E-02
-1.449783E-02
-8.800903E-04
-3.993931E-02
-3.304886E-01
-3.099095E-02
--4.149186E-02
-5.375091E-02
-2.448819E-01
-9.225028E-02
--1.230091E-01
-3.865008E-02
-7.600812E+00
-1.199814E+01
--8.738539E-01
-3.078183E-01
--2.592305E-01
-1.015952E-01
--6.391696E-02
-6.657129E-02
--2.857855E-01
-2.216294E-02
--3.516811E-01
-3.429194E-02
-4.585144E-02
-6.204056E-02
--1.599494E-01
-1.684846E-02
--2.364219E-01
-1.550644E-02
-1.197289E-01
-8.631394E-02
--1.364517E-01
-5.086560E-02
--2.213374E-01
-2.779096E-02
--7.328761E-02
-1.216230E-02
-2.476803E-01
-2.724500E-02
--6.356296E-02
-2.513244E-02
--3.886281E-01
-9.479377E-02
-1.006972E-01
-1.352120E-02
-6.932242E-02
-3.192705E-02
--3.232505E-02
-5.592418E-02
-9.582599E-02
-1.504811E-02
--2.887999E-01
-3.760482E-02
--2.372013E-01
-1.868786E-02
--1.655526E-01
-4.720116E-02
-8.611265E-02
-2.284310E-02
--2.142116E-01
-2.619080E-02
--1.811202E-01
-1.457105E-02
-1.430164E-01
-2.016598E-02
--4.066031E-01
-7.671356E-02
-1.364946E-01
-1.385677E-02
-8.357667E-02
-1.521943E-02
--2.235270E-02
-1.029570E-02
--7.920760E-02
-4.227880E-02
-2.622096E-01
-2.327728E-02
--7.787296E-03
-2.288300E-02
--1.645219E-02
-5.394704E-02
-7.274557E-02
-1.075570E-02
-4.104875E+01
-3.455300E+02
--9.827893E-01
-2.751051E-01
-3.227606E-01
-1.213711E-01
--1.272840E-02
-2.813639E-01
--1.910394E-01
-5.682320E-02
-4.136260E-01
-2.444497E-01
--5.123352E-02
-3.867174E-01
-4.424857E-02
-9.651204E-02
--3.975443E-02
-1.867060E-01
-7.618837E-01
-1.756891E-01
-4.259599E-01
-1.146646E-01
-5.658031E-02
-1.366891E-01
-2.464931E-01
-2.181122E-01
--1.593998E-01
-2.666678E-01
--1.928096E-01
-1.216164E-01
--7.020992E-01
-1.701086E-01
-3.914244E-01
-1.772217E-01
-3.285697E-01
-1.521826E-01
--2.947923E-02
-8.201284E-02
--1.346653E-01
-4.498340E-02
-2.112724E-01
-9.923303E-02
--8.551910E-02
-8.804286E-03
--3.631005E-01
-1.168145E-01
--1.840770E-01
-5.714283E-02
--2.709303E-02
-9.381338E-02
--2.104005E-02
-4.479215E-02
-4.059493E-01
-8.277066E-02
-2.877400E-01
-8.584721E-02
-4.881128E-02
-1.864179E-01
-8.584545E-02
-4.421744E-02
--4.392466E-01
-6.260373E-02
--3.143214E-02
-8.184856E-02
--5.630973E-01
-1.323469E-01
--8.010498E-02
-1.096975E-01
-1.818829E-01
-1.717701E-02
--1.062149E-01
-5.400365E-02
-tally 4:
-3.862543E+01
-2.993190E+02
--5.083613E-01
-2.933365E-01
--4.356793E-01
-6.676831E-01
--6.093148E-01
-5.685331E-01
-2.512276E-01
-1.308652E-01
--1.075955E+00
-4.775270E-01
-3.660307E-01
-1.627691E-01
-5.402149E-01
-2.324946E-01
--3.887573E-01
-1.028105E-01
-4.324152E-01
-1.015147E-01
-3.306993E-02
-8.425069E-02
-2.127456E-01
-5.435453E-02
-2.977294E-01
-1.088039E-01
--1.055079E+00
-3.590635E-01
--6.740592E-01
-2.606281E-01
-3.329512E-01
-1.587428E-01
--1.248691E-01
-1.659045E-01
-2.306000E-01
-1.062057E-01
-9.127791E-02
-2.649459E-01
-2.629881E-01
-4.786229E-02
-2.286813E-01
-2.363629E-02
-6.338613E-01
-1.118828E-01
-7.466647E-01
-1.424535E-01
-7.955161E-02
-1.003327E-02
-1.082691E-01
-2.727882E-02
--5.295185E-01
-1.335133E-01
--6.321517E-01
-1.422916E-01
-1.236137E-01
-2.041422E-01
--5.389265E-02
-1.852888E-01
-3.746082E-01
-5.580885E-02
-1.383528E-01
-2.754456E-01
-5.081204E-01
-1.886515E-01
--4.022264E-01
-1.417397E-01
--3.377771E-01
-6.673888E-02
-1.170109E-01
-1.783182E-02
--2.097916E-01
-7.139323E-02
-1.438678E+01
-4.193571E+01
--6.547124E-01
-1.780450E-01
-2.207489E-01
-2.115835E-01
-4.952323E-02
-3.039341E-01
-6.681546E-01
-1.389250E-01
--4.078026E-02
-4.393667E-02
--8.695509E-01
-2.850853E-01
--1.792062E-01
-7.367253E-02
--5.657500E-01
-2.115125E-01
--8.525189E-02
-2.541971E-02
-5.227867E-02
-2.008468E-02
-6.825349E-02
-5.316522E-02
-3.763076E-01
-7.112554E-02
--1.279973E-02
-1.883096E-01
-7.775189E-02
-6.874374E-02
-1.119537E-01
-8.467755E-02
--1.600632E-01
-8.650448E-02
-6.210095E-01
-1.094309E-01
--9.997484E-02
-3.935353E-02
--2.300525E-01
-2.351925E-02
-2.486103E-02
-3.125565E-02
-1.289518E-02
-2.879251E-02
--3.166559E-01
-2.931428E-02
--1.379285E-02
-2.416257E-02
-1.220552E-02
-5.154030E-02
--1.431676E-01
-3.434080E-02
-8.148581E-02
-4.218412E-02
-8.541678E-03
-6.396306E-02
--7.851012E-03
-5.799658E-02
-2.435723E-01
-6.744263E-02
--2.429877E-01
-6.966516E-02
--1.638644E-01
-2.058798E-02
--8.986584E-03
-1.374824E-02
-3.547454E-01
-7.765460E-02
--1.570173E-01
-6.916960E-02
--1.056941E-02
-7.626528E-03
-6.400634E+01
-8.298077E+02
--3.894111E-01
-8.617494E-01
-1.796567E-01
-1.065356E+00
--1.561037E+00
-7.701475E-01
--2.237530E-01
-2.259442E-01
-1.109999E+00
-6.179412E-01
-1.636912E+00
-7.887441E-01
-4.661183E-01
-4.191138E-01
--1.040546E+00
-2.971961E-01
-1.044850E-01
-1.493530E-01
--4.991935E-01
-3.222404E-01
--4.205099E-01
-2.734911E-01
--7.583139E-01
-3.000853E-01
--3.750811E-01
-1.348273E-01
--6.355508E-01
-3.666139E-01
-5.233787E-01
-1.292414E-01
--2.869538E-02
-9.115092E-02
-6.851052E-01
-3.061040E-01
-1.703522E-01
-7.300335E-02
-4.541075E-01
-4.438507E-01
--2.674857E-01
-4.718588E-01
-3.022517E-02
-1.136781E-01
-5.755596E-01
-2.688162E-01
-2.698373E-01
-1.403188E-01
-8.772347E-01
-3.503562E-01
--4.258508E-01
-1.400825E-01
--1.384853E-01
-4.924947E-02
--1.009402E-01
-2.039230E-01
--1.339732E-01
-4.772083E-02
--3.249636E-01
-4.339747E-01
-1.564400E-01
-2.703717E-01
-2.536360E-01
-8.543919E-02
--3.622063E-01
-7.442240E-02
--2.074953E-02
-1.355614E-01
--3.909820E-02
-1.007999E-01
-3.162815E-01
-9.656425E-02
-2.426423E+01
-1.215124E+02
--9.628829E-01
-3.563586E-01
-2.964625E-01
-9.739638E-02
--3.680881E-01
-3.484018E-01
-4.339143E-01
-7.590564E-02
-4.633394E-02
-1.080030E-01
-3.091634E-01
-1.246585E-01
-4.520500E-02
-1.095704E-01
-2.479383E-01
-1.138276E-01
-6.457108E-02
-6.833667E-02
--5.623363E-02
-1.087254E-01
-3.675294E-01
-9.602246E-02
--1.459951E-01
-9.440544E-02
--6.817672E-02
-4.978066E-02
-1.076782E-02
-1.697440E-01
--1.024501E-02
-1.184830E-01
--1.654178E-01
-1.689209E-02
--1.006214E-01
-3.392546E-02
-5.070063E-01
-7.598100E-02
-2.251704E-01
-7.867348E-02
--1.693789E-01
-2.069974E-01
--2.790249E-01
-2.674643E-02
-3.888604E-01
-3.649330E-02
-7.614452E-02
-7.098023E-02
-1.236282E-02
-5.476895E-02
--3.151637E-01
-3.543466E-02
--6.363562E-01
-9.323507E-02
-2.808153E-01
-8.537981E-02
-2.197639E-01
-3.393653E-02
-8.660625E-02
-1.575544E-02
-3.733826E-02
-1.449783E-02
-8.800903E-04
-3.993931E-02
-3.304886E-01
-3.099095E-02
--4.149186E-02
-5.375091E-02
-2.448819E-01
-9.225028E-02
--1.230091E-01
-3.865008E-02
-7.600812E+00
-1.199814E+01
--8.738539E-01
-3.078183E-01
--2.592305E-01
-1.015952E-01
--6.391696E-02
-6.657129E-02
--2.857855E-01
-2.216294E-02
--3.516811E-01
-3.429194E-02
-4.585144E-02
-6.204056E-02
--1.599494E-01
-1.684846E-02
--2.364219E-01
-1.550644E-02
-1.197289E-01
-8.631394E-02
--1.364517E-01
-5.086560E-02
--2.213374E-01
-2.779096E-02
--7.328761E-02
-1.216230E-02
-2.476803E-01
-2.724500E-02
--6.356296E-02
-2.513244E-02
--3.886281E-01
-9.479377E-02
-1.006972E-01
-1.352120E-02
-6.932242E-02
-3.192705E-02
--3.232505E-02
-5.592418E-02
-9.582599E-02
-1.504811E-02
--2.887999E-01
-3.760482E-02
--2.372013E-01
-1.868786E-02
--1.655526E-01
-4.720116E-02
-8.611265E-02
-2.284310E-02
--2.142116E-01
-2.619080E-02
--1.811202E-01
-1.457105E-02
-1.430164E-01
-2.016598E-02
--4.066031E-01
-7.671356E-02
-1.364946E-01
-1.385677E-02
-8.357667E-02
-1.521943E-02
--2.235270E-02
-1.029570E-02
--7.920760E-02
-4.227880E-02
-2.622096E-01
-2.327728E-02
--7.787296E-03
-2.288300E-02
--1.645219E-02
-5.394704E-02
-7.274557E-02
-1.075570E-02
-4.104875E+01
-3.455300E+02
--9.827893E-01
-2.751051E-01
-3.227606E-01
-1.213711E-01
--1.272840E-02
-2.813639E-01
--1.910394E-01
-5.682320E-02
-4.136260E-01
-2.444497E-01
--5.123352E-02
-3.867174E-01
-4.424857E-02
-9.651204E-02
--3.975443E-02
-1.867060E-01
-7.618837E-01
-1.756891E-01
-4.259599E-01
-1.146646E-01
-5.658031E-02
-1.366891E-01
-2.464931E-01
-2.181122E-01
--1.593998E-01
-2.666678E-01
--1.928096E-01
-1.216164E-01
--7.020992E-01
-1.701086E-01
-3.914244E-01
-1.772217E-01
-3.285697E-01
-1.521826E-01
--2.947923E-02
-8.201284E-02
--1.346653E-01
-4.498340E-02
-2.112724E-01
-9.923303E-02
--8.551910E-02
-8.804286E-03
--3.631005E-01
-1.168145E-01
--1.840770E-01
-5.714283E-02
--2.709303E-02
-9.381338E-02
--2.104005E-02
-4.479215E-02
-4.059493E-01
-8.277066E-02
-2.877400E-01
-8.584721E-02
-4.881128E-02
-1.864179E-01
-8.584545E-02
-4.421744E-02
--4.392466E-01
-6.260373E-02
--3.143214E-02
-8.184856E-02
--5.630973E-01
-1.323469E-01
--8.010498E-02
-1.096975E-01
-1.818829E-01
-1.717701E-02
--1.062149E-01
-5.400365E-02
diff --git a/tests/test_score_flux_yn/test_score_flux_yn.py b/tests/test_score_flux_yn/test_score_flux_yn.py
deleted file mode 100755
index 254069226c..0000000000
--- a/tests/test_score_flux_yn/test_score_flux_yn.py
+++ /dev/null
@@ -1,33 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class ScoreFluxYnTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(21, 22, 23, 27, 28, 29))
-        tallies = [openmc.Tally(tally_id=i) for i in range(1, 5)]
-        [t.add_filter(filt) for t in tallies]
-        tallies[0].add_score('flux')
-        [t.add_score('flux-y5') for t in tallies[1:]]
-        tallies[1].estimator = 'tracklength'
-        tallies[2].estimator = 'analog'
-        tallies[3].estimator = 'collision'
-        self._input_set.tallies = openmc.TalliesFile()
-        [self._input_set.tallies.add_tally(t) for t in tallies]
-
-        super(ScoreFluxYnTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(ScoreFluxYnTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = ScoreFluxYnTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_score_inverse_velocity/inputs_true.dat b/tests/test_score_inverse_velocity/inputs_true.dat
deleted file mode 100644
index 0546cf828f..0000000000
--- a/tests/test_score_inverse_velocity/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-ba1010f940c50314d61aae9f729b7bb476a6b35c5556fbc689ba3fde70ff50b0ba5dad0db3b38349a1562d67817047090ac450a64d895c8f3393163fe7914763
\ No newline at end of file
diff --git a/tests/test_score_inverse_velocity/results_true.dat b/tests/test_score_inverse_velocity/results_true.dat
deleted file mode 100644
index 740d31f16b..0000000000
--- a/tests/test_score_inverse_velocity/results_true.dat
+++ /dev/null
@@ -1,29 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-1.049628E-05
-2.261930E-11
-4.056389E-06
-3.411247E-12
-2.243766E-05
-1.069671E-10
-6.354432E-06
-8.370608E-12
-tally 2:
-1.029200E-05
-2.180706E-11
-4.353200E-06
-4.363747E-12
-2.211790E-05
-1.055892E-10
-6.086777E-06
-7.589579E-12
-tally 3:
-1.029200E-05
-2.180706E-11
-4.353200E-06
-4.363747E-12
-2.211790E-05
-1.055892E-10
-6.086777E-06
-7.589579E-12
diff --git a/tests/test_score_inverse_velocity/test_score_inversevelocity.py b/tests/test_score_inverse_velocity/test_score_inversevelocity.py
deleted file mode 100644
index 787e9df091..0000000000
--- a/tests/test_score_inverse_velocity/test_score_inversevelocity.py
+++ /dev/null
@@ -1,32 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class ScoreInverseVelocityTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(21, 22, 23, 27))
-        tallies = [openmc.Tally(tally_id=i) for i in range(1, 4)]
-        [t.add_filter(filt) for t in tallies]
-        [t.add_score('inverse-velocity') for t in tallies]
-        tallies[0].estimator = 'tracklength'
-        tallies[1].estimator = 'analog'
-        tallies[2].estimator = 'collision'
-        self._input_set.tallies = openmc.TalliesFile()
-        [self._input_set.tallies.add_tally(t) for t in tallies]
-
-        super(ScoreInverseVelocityTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(ScoreInverseVelocityTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = ScoreInverseVelocityTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_score_kappafission/inputs_true.dat b/tests/test_score_kappafission/inputs_true.dat
deleted file mode 100644
index ecb42ddb46..0000000000
--- a/tests/test_score_kappafission/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-57e4aa7550789aec0fcbc4a8917e9d28b1f1ae098a09cde95b757fd87d0dd3924c1bb9d4b23c59cd3793446fb6bbc8af4e1bb46323d70d5e5acd13db1167f545
\ No newline at end of file
diff --git a/tests/test_score_kappafission/results_true.dat b/tests/test_score_kappafission/results_true.dat
deleted file mode 100644
index 976eefa36e..0000000000
--- a/tests/test_score_kappafission/results_true.dat
+++ /dev/null
@@ -1,29 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-2.266169E+02
-1.049923E+04
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-1.366590E+02
-3.861651E+03
-tally 2:
-2.403775E+02
-1.175130E+04
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-1.270420E+02
-3.297537E+03
-tally 3:
-2.217588E+02
-1.003581E+04
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-1.376303E+02
-3.875598E+03
diff --git a/tests/test_score_kappafission/test_score_kappafission.py b/tests/test_score_kappafission/test_score_kappafission.py
deleted file mode 100644
index 2e93b51c46..0000000000
--- a/tests/test_score_kappafission/test_score_kappafission.py
+++ /dev/null
@@ -1,32 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class ScoreKappaFissionTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(21, 22, 23, 27))
-        tallies = [openmc.Tally(tally_id=i) for i in range(1, 4)]
-        [t.add_filter(filt) for t in tallies]
-        [t.add_score('kappa-fission') for t in tallies]
-        tallies[0].estimator = 'tracklength'
-        tallies[1].estimator = 'analog'
-        tallies[2].estimator = 'collision'
-        self._input_set.tallies = openmc.TalliesFile()
-        [self._input_set.tallies.add_tally(t) for t in tallies]
-
-        super(ScoreKappaFissionTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(ScoreKappaFissionTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = ScoreKappaFissionTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_score_nufission/inputs_true.dat b/tests/test_score_nufission/inputs_true.dat
deleted file mode 100644
index 52f7765fa7..0000000000
--- a/tests/test_score_nufission/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-a42b2e165f59d3f499865d5db1e7db9b4cb25e48290f94080e569a9efc0b437d75cbb5773ac564f6cc95b19521fb7bc97a3eb641b491828c90cd086dc0c06a4b
\ No newline at end of file
diff --git a/tests/test_score_nufission/results_true.dat b/tests/test_score_nufission/results_true.dat
deleted file mode 100644
index 31c6abe9d5..0000000000
--- a/tests/test_score_nufission/results_true.dat
+++ /dev/null
@@ -1,29 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-3.041781E+00
-1.891714E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-1.835166E+00
-6.963265E-01
-tally 2:
-3.341227E+00
-2.322075E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-1.862652E+00
-7.112121E-01
-tally 3:
-2.975121E+00
-1.806644E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-1.846861E+00
-6.985413E-01
diff --git a/tests/test_score_nufission/test_score_nufission.py b/tests/test_score_nufission/test_score_nufission.py
deleted file mode 100644
index 3d540daac7..0000000000
--- a/tests/test_score_nufission/test_score_nufission.py
+++ /dev/null
@@ -1,32 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class ScoreNuFissionTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(21, 22, 23, 27))
-        tallies = [openmc.Tally(tally_id=i) for i in range(1, 4)]
-        [t.add_filter(filt) for t in tallies]
-        [t.add_score('nu-fission') for t in tallies]
-        tallies[0].estimator = 'tracklength'
-        tallies[1].estimator = 'analog'
-        tallies[2].estimator = 'collision'
-        self._input_set.tallies = openmc.TalliesFile()
-        [self._input_set.tallies.add_tally(t) for t in tallies]
-
-        super(ScoreNuFissionTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(ScoreNuFissionTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = ScoreNuFissionTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_score_nuscatter/inputs_true.dat b/tests/test_score_nuscatter/inputs_true.dat
deleted file mode 100644
index 80840f900d..0000000000
--- a/tests/test_score_nuscatter/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-764d3ba6b1bc86b462d44151242bd18fa5f0200b831bb7537cf881b728622799eb95a457f88a503487bfd30095c1fa995818d50a6bc41dd182009772c010e82b
\ No newline at end of file
diff --git a/tests/test_score_nuscatter/results_true.dat b/tests/test_score_nuscatter/results_true.dat
deleted file mode 100644
index 8f9fcba891..0000000000
--- a/tests/test_score_nuscatter/results_true.dat
+++ /dev/null
@@ -1,11 +0,0 @@
-k-combined:
-1.034954E+00 1.782721E-02
-tally 1:
-0.000000E+00
-0.000000E+00
-2.514000E+01
-6.511880E+01
-6.370000E+00
-4.230900E+00
-8.547000E+01
-7.481913E+02
diff --git a/tests/test_score_nuscatter/test_score_nuscatter.py b/tests/test_score_nuscatter/test_score_nuscatter.py
deleted file mode 100644
index 6f33181265..0000000000
--- a/tests/test_score_nuscatter/test_score_nuscatter.py
+++ /dev/null
@@ -1,34 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class ScoreNuScatterTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(10, 21, 22, 23))
-        t = openmc.Tally(tally_id=1)
-        t.add_filter(filt)
-        t.add_score('nu-scatter')
-        self._input_set.tallies = openmc.TalliesFile()
-        self._input_set.tallies.add_tally(t)
-
-        self._input_set.build_default_materials_and_geometry()
-        self._input_set.build_default_settings()
-
-        self._input_set.settings.inactive = 0
-
-        self._input_set.export()
-
-    def _cleanup(self):
-        super(ScoreNuScatterTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = ScoreNuScatterTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_score_nuscatter_n/inputs_true.dat b/tests/test_score_nuscatter_n/inputs_true.dat
deleted file mode 100644
index c63f891d26..0000000000
--- a/tests/test_score_nuscatter_n/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-17541e365f35ebd25134465a02d9a66e46536c4e3f5769da62137ec94ee7c8fb46ef38b9039aa6430261329a4e1b0ce677174323563e5be2f1368dc0c552e312
\ No newline at end of file
diff --git a/tests/test_score_nuscatter_n/results_true.dat b/tests/test_score_nuscatter_n/results_true.dat
deleted file mode 100644
index 0c1315807f..0000000000
--- a/tests/test_score_nuscatter_n/results_true.dat
+++ /dev/null
@@ -1,33 +0,0 @@
-k-combined:
-1.034954E+00 1.782721E-02
-tally 1:
-2.514000E+01
-6.511880E+01
-2.724740E+00
-8.378120E-01
-1.521255E+00
-2.667071E-01
-7.903706E-01
-1.216244E-01
-5.770120E-01
-5.508594E-02
-6.370000E+00
-4.230900E+00
-8.075261E-01
-9.047897E-02
-5.879624E-01
-4.107777E-02
-2.034636E-01
-8.243025E-03
--2.744502E-02
-1.515916E-03
-8.547000E+01
-7.481913E+02
-4.446994E+01
-2.016855E+02
-1.664683E+01
-2.837713E+01
-1.373176E+00
-3.329601E-01
--1.663772E+00
-4.264485E-01
diff --git a/tests/test_score_nuscatter_n/test_score_nuscatter_n.py b/tests/test_score_nuscatter_n/test_score_nuscatter_n.py
deleted file mode 100644
index 40029bd02c..0000000000
--- a/tests/test_score_nuscatter_n/test_score_nuscatter_n.py
+++ /dev/null
@@ -1,38 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class ScoreNuScatterNTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(21, 22, 23))
-        t = openmc.Tally(tally_id=1)
-        t.add_filter(filt)
-        t.add_score('nu-scatter')
-        t.add_score('nu-scatter-1')
-        t.add_score('nu-scatter-2')
-        t.add_score('nu-scatter-3')
-        t.add_score('nu-scatter-4')
-        self._input_set.tallies = openmc.TalliesFile()
-        self._input_set.tallies.add_tally(t)
-
-        self._input_set.build_default_materials_and_geometry()
-        self._input_set.build_default_settings()
-
-        self._input_set.settings.inactive = 0
-
-        self._input_set.export()
-
-    def _cleanup(self):
-        super(ScoreNuScatterNTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = ScoreNuScatterNTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_score_nuscatter_pn/inputs_true.dat b/tests/test_score_nuscatter_pn/inputs_true.dat
deleted file mode 100644
index ef53ee8f65..0000000000
--- a/tests/test_score_nuscatter_pn/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-8ae1b048b90a049d9ed42336a0a2e8f7a250a14d889cc15e0c2831ed71617a78b92570480a15f936f2dd623c75f55693e38c69041c3cae24aba082409b51bc9f
\ No newline at end of file
diff --git a/tests/test_score_nuscatter_pn/results_true.dat b/tests/test_score_nuscatter_pn/results_true.dat
deleted file mode 100644
index 603c13e701..0000000000
--- a/tests/test_score_nuscatter_pn/results_true.dat
+++ /dev/null
@@ -1,24 +0,0 @@
-k-combined:
-1.034954E+00 1.782721E-02
-tally 1:
-2.514000E+01
-6.511880E+01
-2.724740E+00
-8.378120E-01
-1.521255E+00
-2.667071E-01
-7.903706E-01
-1.216244E-01
-5.770120E-01
-5.508594E-02
-tally 2:
-2.514000E+01
-6.511880E+01
-2.724740E+00
-8.378120E-01
-1.521255E+00
-2.667071E-01
-7.903706E-01
-1.216244E-01
-5.770120E-01
-5.508594E-02
diff --git a/tests/test_score_nuscatter_pn/test_score_nuscatter_pn.py b/tests/test_score_nuscatter_pn/test_score_nuscatter_pn.py
deleted file mode 100644
index 6a69fe054d..0000000000
--- a/tests/test_score_nuscatter_pn/test_score_nuscatter_pn.py
+++ /dev/null
@@ -1,42 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class ScoreNuScatterPNTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(21, ))
-        t1 = openmc.Tally(tally_id=1)
-        t1.add_filter(filt)
-        t1.add_score('nu-scatter-0')
-        t1.add_score('nu-scatter-1')
-        t1.add_score('nu-scatter-2')
-        t1.add_score('nu-scatter-3')
-        t1.add_score('nu-scatter-4')
-        t2 = openmc.Tally(tally_id=2)
-        t2.add_filter(filt)
-        t2.add_score('nu-scatter-p4')
-        self._input_set.tallies = openmc.TalliesFile()
-        self._input_set.tallies.add_tally(t1)
-        self._input_set.tallies.add_tally(t2)
-
-        self._input_set.build_default_materials_and_geometry()
-        self._input_set.build_default_settings()
-
-        self._input_set.settings.inactive = 0
-
-        self._input_set.export()
-
-    def _cleanup(self):
-        super(ScoreNuScatterPNTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = ScoreNuScatterPNTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_score_nuscatter_yn/inputs_true.dat b/tests/test_score_nuscatter_yn/inputs_true.dat
deleted file mode 100644
index 632a144031..0000000000
--- a/tests/test_score_nuscatter_yn/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-205e5cac8129797b815f0e79dad6c41a1876157ba69fcffecf67c3603dc36ded5f0168f9961d51fcb7dc7db6d732e7a3e8f82d04947aa0309df56bb8333d4bc9
\ No newline at end of file
diff --git a/tests/test_score_nuscatter_yn/results_true.dat b/tests/test_score_nuscatter_yn/results_true.dat
deleted file mode 100644
index 2b14a72560..0000000000
--- a/tests/test_score_nuscatter_yn/results_true.dat
+++ /dev/null
@@ -1,38 +0,0 @@
-k-combined:
-1.034954E+00 1.782721E-02
-tally 1:
-2.514000E+01
-6.511880E+01
-tally 2:
-2.514000E+01
-6.511880E+01
-2.222467E-01
-2.881247E-02
-3.019176E-01
-3.014833E-02
--8.459006E-04
-4.773570E-02
-9.596964E-02
-1.009754E-02
-4.314855E-02
-6.207871E-03
-4.607677E-02
-9.205573E-03
-2.345994E-03
-1.243004E-02
-9.577397E-02
-6.605519E-03
-2.821584E-02
-3.834286E-03
--1.077389E-01
-6.570217E-03
-1.106443E-01
-1.006436E-02
-1.322104E-01
-7.721677E-03
--1.315548E-02
-5.488918E-04
--2.792171E-02
-5.816161E-03
-1.994370E-02
-1.169674E-03
diff --git a/tests/test_score_nuscatter_yn/test_score_nuscatter_yn.py b/tests/test_score_nuscatter_yn/test_score_nuscatter_yn.py
deleted file mode 100644
index 6a6ad54956..0000000000
--- a/tests/test_score_nuscatter_yn/test_score_nuscatter_yn.py
+++ /dev/null
@@ -1,38 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class ScoreNuScatterYNTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(21, ))
-        t1 = openmc.Tally(tally_id=1)
-        t1.add_filter(filt)
-        t1.add_score('nu-scatter-0')
-        t2 = openmc.Tally(tally_id=2)
-        t2.add_filter(filt)
-        t2.add_score('nu-scatter-y3')
-        self._input_set.tallies = openmc.TalliesFile()
-        self._input_set.tallies.add_tally(t1)
-        self._input_set.tallies.add_tally(t2)
-
-        self._input_set.build_default_materials_and_geometry()
-        self._input_set.build_default_settings()
-
-        self._input_set.settings.inactive = 0
-
-        self._input_set.export()
-
-    def _cleanup(self):
-        super(ScoreNuScatterYNTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = ScoreNuScatterYNTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_score_scatter/inputs_true.dat b/tests/test_score_scatter/inputs_true.dat
deleted file mode 100644
index 35557cd3c5..0000000000
--- a/tests/test_score_scatter/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-b5baba05419ce120bd22d935af9cdd6d206ad5dc5cae5991a9d160c70bb029f2d87040fa4e19f7190de64b908ac6a41a8b28db4a4f3883ec16e529b1449e983d
\ No newline at end of file
diff --git a/tests/test_score_scatter/results_true.dat b/tests/test_score_scatter/results_true.dat
deleted file mode 100644
index 8d3e0fdc03..0000000000
--- a/tests/test_score_scatter/results_true.dat
+++ /dev/null
@@ -1,29 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-0.000000E+00
-0.000000E+00
-1.514235E+01
-4.620490E+01
-3.839050E+00
-2.975620E+00
-5.317903E+01
-5.754103E+02
-tally 2:
-0.000000E+00
-0.000000E+00
-1.485000E+01
-4.439790E+01
-4.120000E+00
-3.438000E+00
-5.173000E+01
-5.467243E+02
-tally 3:
-0.000000E+00
-0.000000E+00
-1.496769E+01
-4.502714E+01
-4.117144E+00
-3.431861E+00
-5.174677E+01
-5.469474E+02
diff --git a/tests/test_score_scatter/test_score_scatter.py b/tests/test_score_scatter/test_score_scatter.py
deleted file mode 100644
index 0b2621acd3..0000000000
--- a/tests/test_score_scatter/test_score_scatter.py
+++ /dev/null
@@ -1,32 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class ScoreScatterTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(10, 21, 22, 23))
-        tallies = [openmc.Tally(tally_id=i) for i in range(1, 4)]
-        [t.add_filter(filt) for t in tallies]
-        [t.add_score('scatter') for t in tallies]
-        tallies[0].estimator = 'tracklength'
-        tallies[1].estimator = 'analog'
-        tallies[2].estimator = 'collision'
-        self._input_set.tallies = openmc.TalliesFile()
-        [self._input_set.tallies.add_tally(t) for t in tallies]
-
-        super(ScoreScatterTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(ScoreScatterTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = ScoreScatterTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_score_scatter_n/inputs_true.dat b/tests/test_score_scatter_n/inputs_true.dat
deleted file mode 100644
index e6e3a395bd..0000000000
--- a/tests/test_score_scatter_n/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-a153add0502ff0fd4b0670f01679e104be1bb05941e73fb35e426c7f1e41a6144c7eb81fdba0d62ea3f39c7c6798028ff6d5df8c7a50b3e3f9e9bfe72fd48c2f
\ No newline at end of file
diff --git a/tests/test_score_scatter_n/results_true.dat b/tests/test_score_scatter_n/results_true.dat
deleted file mode 100644
index 96e56bd6ab..0000000000
--- a/tests/test_score_scatter_n/results_true.dat
+++ /dev/null
@@ -1,33 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-1.485000E+01
-4.439790E+01
-1.259515E+00
-3.360064E-01
-7.983154E-01
-1.355632E-01
-3.425460E-01
-2.971972E-02
-2.949225E-01
-3.975603E-02
-4.120000E+00
-3.438000E+00
-6.222571E-01
-8.335984E-02
-1.670136E-01
-1.374768E-02
--5.819374E-02
-1.091808E-02
--6.389550E-02
-5.688533E-03
-5.173000E+01
-5.467243E+02
-2.669403E+01
-1.451361E+02
-9.691140E+00
-1.933574E+01
-5.860769E-01
-2.122377E-01
--1.190340E+00
-3.145785E-01
diff --git a/tests/test_score_scatter_n/test_score_scatter_n.py b/tests/test_score_scatter_n/test_score_scatter_n.py
deleted file mode 100644
index 47fd12b2ed..0000000000
--- a/tests/test_score_scatter_n/test_score_scatter_n.py
+++ /dev/null
@@ -1,33 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class ScoreScatterNTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(21, 22, 23))
-        t = openmc.Tally(tally_id=1)
-        t.add_filter(filt)
-        t.add_score('scatter')
-        t.add_score('scatter-1')
-        t.add_score('scatter-2')
-        t.add_score('scatter-3')
-        t.add_score('scatter-4')
-        self._input_set.tallies = openmc.TalliesFile()
-        self._input_set.tallies.add_tally(t)
-
-        super(ScoreScatterNTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(ScoreScatterNTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = ScoreScatterNTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_score_scatter_pn/inputs_true.dat b/tests/test_score_scatter_pn/inputs_true.dat
deleted file mode 100644
index 3878939c50..0000000000
--- a/tests/test_score_scatter_pn/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-fe56d58827d1803c1a49391711ad682be4a7cbc51519248812554f66e3e46266edc179f4254291a5f455751d3cdc13a17bbd103b9810c8818f36e4d283b503be
\ No newline at end of file
diff --git a/tests/test_score_scatter_pn/results_true.dat b/tests/test_score_scatter_pn/results_true.dat
deleted file mode 100644
index 753216a8b7..0000000000
--- a/tests/test_score_scatter_pn/results_true.dat
+++ /dev/null
@@ -1,24 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-1.485000E+01
-4.439790E+01
-1.259515E+00
-3.360064E-01
-7.983154E-01
-1.355632E-01
-3.425460E-01
-2.971972E-02
-2.949225E-01
-3.975603E-02
-tally 2:
-1.485000E+01
-4.439790E+01
-1.259515E+00
-3.360064E-01
-7.983154E-01
-1.355632E-01
-3.425460E-01
-2.971972E-02
-2.949225E-01
-3.975603E-02
diff --git a/tests/test_score_scatter_pn/test_score_scatter_pn.py b/tests/test_score_scatter_pn/test_score_scatter_pn.py
deleted file mode 100644
index 9186fe5480..0000000000
--- a/tests/test_score_scatter_pn/test_score_scatter_pn.py
+++ /dev/null
@@ -1,38 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class ScoreScatterPNTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(21, ))
-        t1 = openmc.Tally(tally_id=1)
-        t1.add_filter(filt)
-        t1.add_score('scatter-0')
-        t1.add_score('scatter-1')
-        t1.add_score('scatter-2')
-        t1.add_score('scatter-3')
-        t1.add_score('scatter-4')
-        t1.estimator = 'analog'
-        t2 = openmc.Tally(tally_id=2)
-        t2.add_filter(filt)
-        t2.add_score('scatter-p4')
-        self._input_set.tallies = openmc.TalliesFile()
-        self._input_set.tallies.add_tally(t1)
-        self._input_set.tallies.add_tally(t2)
-
-        super(ScoreScatterPNTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(ScoreScatterPNTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = ScoreScatterPNTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_score_scatter_yn/inputs_true.dat b/tests/test_score_scatter_yn/inputs_true.dat
deleted file mode 100644
index 1ae9f6047d..0000000000
--- a/tests/test_score_scatter_yn/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-d80a9e8befab978bc84a231437a2b96c8f6dba81984c9e82a79360feb26bc9875b661131dbaa2deeb66b0aa50a39b2e738303bc40c5c65ee1995cf52f687ae46
\ No newline at end of file
diff --git a/tests/test_score_scatter_yn/results_true.dat b/tests/test_score_scatter_yn/results_true.dat
deleted file mode 100644
index fb6b4749d1..0000000000
--- a/tests/test_score_scatter_yn/results_true.dat
+++ /dev/null
@@ -1,56 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-1.485000E+01
-4.439790E+01
-tally 2:
-1.485000E+01
-4.439790E+01
--8.440076E-02
-1.135203E-02
-8.198663E-02
-3.887429E-02
--1.358080E-01
-2.890416E-02
--3.544823E-02
-9.843339E-04
--1.542072E-01
-8.228126E-03
-1.057111E-01
-3.758100E-03
--1.647870E-02
-4.827841E-03
-1.378297E-01
-1.566876E-02
-4.676778E-02
-4.809366E-03
-1.966204E-02
-7.447981E-04
-1.889258E-02
-6.841953E-04
-1.337703E-02
-1.250077E-03
--1.044684E-01
-6.969498E-03
--1.177995E-02
-8.208715E-03
--1.940058E-04
-5.128759E-03
--2.165868E-02
-1.335569E-03
--3.080886E-02
-4.544434E-04
-1.039856E-03
-1.209631E-03
--1.317068E-02
-1.469722E-03
--6.432758E-02
-2.106736E-03
-3.323023E-02
-4.513838E-03
-2.683700E-02
-1.146747E-03
--3.494912E-02
-1.006153E-03
-6.289525E-02
-3.700145E-03
diff --git a/tests/test_score_scatter_yn/test_score_scatter_yn.py b/tests/test_score_scatter_yn/test_score_scatter_yn.py
deleted file mode 100644
index 9e6900031f..0000000000
--- a/tests/test_score_scatter_yn/test_score_scatter_yn.py
+++ /dev/null
@@ -1,34 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class ScoreScatterYNTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(21, ))
-        t1 = openmc.Tally(tally_id=1)
-        t1.add_filter(filt)
-        t1.add_score('scatter-0')
-        t1.estimator = 'analog'
-        t2 = openmc.Tally(tally_id=2)
-        t2.add_filter(filt)
-        t2.add_score('scatter-y4')
-        self._input_set.tallies = openmc.TalliesFile()
-        self._input_set.tallies.add_tally(t1)
-        self._input_set.tallies.add_tally(t2)
-
-        super(ScoreScatterYNTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(ScoreScatterYNTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = ScoreScatterYNTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_score_total/inputs_true.dat b/tests/test_score_total/inputs_true.dat
deleted file mode 100644
index c8b979c725..0000000000
--- a/tests/test_score_total/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-8813917cab656135c4eebfdbe5f0d95e6a9409a2b36df1dfb483bdd193a3c0978727918a58399b259b82a7d51ae3f1801148bd978603fec11f27acdbf89520e2
\ No newline at end of file
diff --git a/tests/test_score_total/results_true.dat b/tests/test_score_total/results_true.dat
deleted file mode 100644
index 9b8a06f807..0000000000
--- a/tests/test_score_total/results_true.dat
+++ /dev/null
@@ -1,29 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-0.000000E+00
-0.000000E+00
-1.767552E+01
-6.295417E+01
-3.863588E+00
-3.013300E+00
-5.356594E+01
-5.839391E+02
-tally 2:
-0.000000E+00
-0.000000E+00
-1.739000E+01
-6.083290E+01
-4.160000E+00
-3.501000E+00
-5.213000E+01
-5.552351E+02
-tally 3:
-0.000000E+00
-0.000000E+00
-1.739000E+01
-6.083290E+01
-4.160000E+00
-3.501000E+00
-5.213000E+01
-5.552351E+02
diff --git a/tests/test_score_total/test_score_total.py b/tests/test_score_total/test_score_total.py
deleted file mode 100644
index c6f3f335fc..0000000000
--- a/tests/test_score_total/test_score_total.py
+++ /dev/null
@@ -1,32 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class ScoreTotalTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(10, 21, 22, 23))
-        tallies = [openmc.Tally(tally_id=i) for i in range(1, 4)]
-        [t.add_filter(filt) for t in tallies]
-        [t.add_score('total') for t in tallies]
-        tallies[0].estimator = 'tracklength'
-        tallies[1].estimator = 'analog'
-        tallies[2].estimator = 'collision'
-        self._input_set.tallies = openmc.TalliesFile()
-        [self._input_set.tallies.add_tally(t) for t in tallies]
-
-        super(ScoreTotalTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(ScoreTotalTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = ScoreTotalTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_score_total_yn/inputs_true.dat b/tests/test_score_total_yn/inputs_true.dat
deleted file mode 100644
index b2818f8568..0000000000
--- a/tests/test_score_total_yn/inputs_true.dat
+++ /dev/null
@@ -1 +0,0 @@
-4dbbd9cec921d2420e7567533c833afbe94335073aa760d1fd937adb695191b3ab7c070ec0d32721dddb4a46054e68322cf6a058420e20e439eb1d44f09f4be4
\ No newline at end of file
diff --git a/tests/test_score_total_yn/results_true.dat b/tests/test_score_total_yn/results_true.dat
deleted file mode 100644
index b416b05ec3..0000000000
--- a/tests/test_score_total_yn/results_true.dat
+++ /dev/null
@@ -1,1214 +0,0 @@
-k-combined:
-9.903196E-01 4.279617E-02
-tally 1:
-0.000000E+00
-0.000000E+00
-1.767552E+01
-6.295417E+01
-3.863588E+00
-3.013300E+00
-5.356594E+01
-5.839391E+02
-tally 2:
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-9.780506E-01
-1.942072E-01
--4.170415E-02
-7.581469E-04
--2.419728E-03
-6.296241E-04
--8.163997E-03
-4.785197E-04
-3.971909E-03
-1.363304E-04
-1.585497E-02
-1.295251E-04
--7.029875E-02
-1.208194E-03
--1.524070E-02
-2.828843E-04
--2.141105E-02
-2.953327E-04
--2.147623E-02
-2.390414E-04
-5.592040E-04
-1.720605E-04
-3.022066E-03
-1.843720E-04
-1.489821E-02
-9.193290E-05
--1.354668E-02
-2.551940E-04
--5.692690E-04
-3.013453E-04
-2.324582E-02
-2.170615E-04
-1.883012E-02
-1.045949E-04
--3.997107E-03
-1.674058E-04
-1.616443E-02
-2.046286E-04
-1.625747E-02
-1.851351E-04
-1.120209E-02
-2.028649E-04
-4.240284E-03
-4.019011E-05
-1.535379E-02
-9.872559E-05
--8.973926E-03
-1.448680E-04
--3.933227E-03
-4.305328E-04
-1.767552E+01
-6.295417E+01
--1.458308E-01
-8.239551E-03
-1.976485E-01
-7.360520E-02
--2.647182E-01
-5.347815E-02
-1.828025E-01
-1.840743E-02
-1.865994E-01
-2.843407E-02
--6.438995E-02
-8.898045E-03
--1.416445E-01
-3.839856E-02
--3.298894E-01
-2.672141E-02
--1.462639E-01
-1.225250E-02
--6.410138E-02
-3.766615E-02
-4.701705E-02
-1.968428E-03
-2.953056E-02
-2.358647E-02
--1.717672E-01
-5.877351E-02
-1.927497E-02
-1.358953E-02
-1.708870E-01
-1.502033E-02
-4.453803E-02
-1.622532E-02
--2.076143E-02
-1.850686E-03
-1.111325E-01
-8.415150E-03
-1.249594E-01
-7.491280E-03
-1.381757E-02
-1.537264E-02
--7.286234E-03
-9.057874E-03
-3.162973E-01
-3.303388E-02
-1.012773E-01
-8.345375E-03
--5.238963E-02
-3.920421E-02
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-3.863588E+00
-3.013300E+00
-5.075749E-02
-1.018210E-03
-3.445344E-02
-5.778215E-03
--6.239642E-02
-4.107408E-03
--1.475495E-02
-7.971898E-04
-5.809323E-02
-3.039895E-03
--2.510339E-02
-3.529134E-04
--9.731680E-03
-1.221628E-03
--5.815144E-02
-1.403261E-03
--4.936694E-02
-6.481626E-04
-5.141985E-03
-1.343973E-03
-1.515105E-02
-3.044735E-04
-4.474521E-03
-1.155268E-03
--6.855877E-02
-4.048417E-03
--2.701967E-05
-1.279041E-03
-2.197636E-02
-2.843662E-04
--1.780381E-02
-8.441574E-04
-2.916634E-02
-2.530602E-03
-2.289834E-02
-2.201375E-03
-3.283424E-02
-7.615219E-04
-9.623726E-03
-7.614092E-04
-2.808239E-02
-1.500381E-03
-4.835419E-02
-6.933678E-04
--2.636221E-02
-2.230834E-04
--4.957463E-02
-1.939266E-03
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-5.356594E+01
-5.839391E+02
--1.198882E+00
-3.391100E-01
-3.952398E-01
-5.729760E-01
--1.045726E+00
-4.419194E-01
-2.683170E-01
-1.872580E-01
-5.059349E-01
-2.592209E-01
-4.561651E-01
-1.253696E-01
--4.273775E-01
-3.509266E-01
--6.300496E-01
-2.102051E-01
--3.094705E-01
-1.410278E-01
--6.840225E-01
-1.971765E-01
-4.123355E-02
-3.962538E-02
--1.554557E-01
-2.784362E-02
--4.698631E-01
-1.867413E-01
--7.016026E-02
-3.059344E-02
-2.922284E-01
-8.680517E-02
--1.252431E-01
-3.180591E-02
-1.825937E-01
-8.626653E-02
-1.637960E-01
-1.329538E-01
-6.662867E-01
-1.497985E-01
-4.662585E-01
-7.552145E-02
-1.198254E-03
-2.020899E-01
-5.281410E-01
-9.615758E-02
-6.396211E-02
-1.806992E-01
--1.898620E-01
-1.113751E-01
-tally 3:
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-9.300000E-01
-1.839000E-01
-4.056201E-03
-8.670884E-04
--2.262959E-02
-2.263780E-03
--4.568371E-02
-4.078305E-03
-6.023055E-02
-1.099458E-03
--2.468374E-02
-3.403931E-03
--8.676202E-02
-2.444658E-03
-2.075016E-02
-5.432442E-03
-1.101095E-02
-3.129947E-04
-8.689134E-03
-2.422445E-03
--1.097503E-02
-4.670673E-04
-4.979355E-02
-1.791811E-03
-1.769845E-02
-6.074665E-04
--1.473469E-02
-1.257671E-03
--1.133757E-02
-1.555143E-03
-1.730195E-02
-1.841949E-03
--1.191492E-02
-1.859105E-03
-9.038577E-03
-4.401577E-04
-1.770047E-02
-4.158291E-04
-1.492809E-02
-5.488168E-04
-7.970152E-02
-1.597910E-03
-3.741348E-02
-5.704935E-04
-2.078478E-02
-5.379832E-04
--1.355930E-02
-6.747758E-04
-3.416200E-02
-8.262470E-04
-1.739000E+01
-6.083290E+01
--2.434171E-01
-3.049063E-02
--1.278707E-01
-9.585267E-02
--2.597328E-01
-8.692607E-02
-2.496700E-01
-3.750933E-02
--1.309937E-01
-4.217907E-02
--1.863241E-01
-1.738581E-02
-1.292679E-01
-1.799004E-02
--3.543191E-01
-3.682107E-02
-1.904413E-01
-1.455250E-02
--7.093238E-02
-1.473997E-02
-1.920412E-01
-1.308864E-02
-1.566093E-01
-1.913492E-02
--2.499642E-01
-3.036874E-02
--2.323022E-01
-3.794368E-02
-6.361729E-02
-3.266166E-02
-4.688479E-02
-2.806712E-02
-9.796563E-02
-1.419748E-02
-1.000847E-02
-3.233262E-02
-7.570231E-02
-4.626536E-03
-1.489091E-01
-1.159345E-02
-2.236285E-01
-1.480084E-02
-2.461305E-01
-1.643844E-02
-1.773523E-02
-1.626036E-03
-6.570774E-02
-1.069893E-02
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-4.160000E+00
-3.501000E+00
--9.464171E-02
-8.682833E-03
-8.467800E-02
-1.402624E-02
-1.283471E-02
-2.630439E-02
-1.859869E-01
-1.189528E-02
-1.910311E-02
-2.907370E-03
--2.542253E-01
-2.143851E-02
--4.021473E-02
-5.812599E-03
--1.242140E-01
-1.017873E-02
--2.934198E-02
-2.409920E-03
-5.719767E-02
-2.211520E-03
-3.023903E-02
-2.870625E-03
-1.092479E-01
-6.089989E-03
-1.604743E-02
-1.110224E-02
-3.811062E-03
-5.234112E-03
-5.446762E-02
-5.323411E-03
--3.868978E-02
-4.949255E-03
-1.384260E-01
-4.903532E-03
--3.761889E-02
-2.524889E-03
--6.079772E-02
-2.328339E-03
-1.956623E-03
-4.096814E-03
-1.716402E-03
-2.022751E-03
--1.108600E-01
-3.227014E-03
--2.447622E-03
-4.075421E-03
-1.582493E-02
-4.847858E-03
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-5.213000E+01
-5.552351E+02
--6.019876E-01
-2.938936E-01
-2.126970E-01
-3.363271E-01
--6.928646E-01
-3.077152E-01
--2.976474E-01
-5.830705E-02
-7.804821E-01
-3.967156E-01
-5.737502E-01
-1.090147E-01
--2.867929E-01
-1.312720E-01
--4.735578E-01
-6.714577E-02
--6.340442E-02
-4.240623E-02
--1.594570E-01
-1.167021E-01
--5.403124E-02
-6.452745E-02
--2.670969E-01
-5.822561E-02
--3.033558E-01
-4.890487E-02
--3.515557E-01
-5.069681E-02
-2.257462E-01
-4.682933E-02
--1.449924E-02
-1.625521E-02
-2.809498E-01
-6.883451E-02
-1.904808E-01
-1.004755E-01
-2.570005E-01
-4.301248E-02
-9.493600E-02
-7.708499E-02
--2.804222E-01
-4.455703E-02
-3.199914E-01
-7.435651E-02
--2.818069E-04
-7.231318E-02
-3.689494E-01
-1.349712E-01
-tally 4:
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-9.453374E-01
-1.815824E-01
--4.552571E-02
-8.689847E-04
-4.192526E-03
-6.095248E-04
--4.085060E-03
-3.488081E-04
-3.074303E-02
-3.709785E-04
-1.949067E-02
-1.995057E-04
--7.372260E-02
-1.709765E-03
--5.140901E-03
-6.268082E-05
--2.589014E-02
-1.616678E-04
-1.683116E-02
-2.122512E-04
--1.074659E-02
-1.087471E-04
-3.762844E-03
-3.439135E-05
-1.365793E-02
-5.255161E-05
-5.869374E-05
-4.060049E-04
--7.715004E-03
-3.629588E-04
-8.240120E-03
-5.192031E-04
-1.662861E-02
-5.038262E-04
--2.845811E-03
-2.843348E-04
-1.826833E-03
-1.104947E-05
--5.596885E-04
-1.922661E-05
-1.398723E-02
-1.025178E-04
-1.733988E-02
-1.184228E-04
-1.250057E-02
-1.447801E-04
--5.450018E-03
-3.725923E-05
-2.390947E-02
-6.837656E-04
-1.739000E+01
-6.083290E+01
--2.434171E-01
-3.049063E-02
--1.278707E-01
-9.585267E-02
--2.597328E-01
-8.692607E-02
-2.496700E-01
-3.750933E-02
--1.309937E-01
-4.217907E-02
--1.863241E-01
-1.738581E-02
-1.292679E-01
-1.799004E-02
--3.543191E-01
-3.682107E-02
-1.904413E-01
-1.455250E-02
--7.093238E-02
-1.473997E-02
-1.920412E-01
-1.308864E-02
-1.566093E-01
-1.913492E-02
--2.499642E-01
-3.036874E-02
--2.323022E-01
-3.794368E-02
-6.361729E-02
-3.266166E-02
-4.688479E-02
-2.806712E-02
-9.796563E-02
-1.419748E-02
-1.000847E-02
-3.233262E-02
-7.570231E-02
-4.626536E-03
-1.489091E-01
-1.159345E-02
-2.236285E-01
-1.480084E-02
-2.461305E-01
-1.643844E-02
-1.773523E-02
-1.626036E-03
-6.570774E-02
-1.069893E-02
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-4.160000E+00
-3.501000E+00
--9.464171E-02
-8.682833E-03
-8.467800E-02
-1.402624E-02
-1.283471E-02
-2.630439E-02
-1.859869E-01
-1.189528E-02
-1.910311E-02
-2.907370E-03
--2.542253E-01
-2.143851E-02
--4.021473E-02
-5.812599E-03
--1.242140E-01
-1.017873E-02
--2.934198E-02
-2.409920E-03
-5.719767E-02
-2.211520E-03
-3.023903E-02
-2.870625E-03
-1.092479E-01
-6.089989E-03
-1.604743E-02
-1.110224E-02
-3.811062E-03
-5.234112E-03
-5.446762E-02
-5.323411E-03
--3.868978E-02
-4.949255E-03
-1.384260E-01
-4.903532E-03
--3.761889E-02
-2.524889E-03
--6.079772E-02
-2.328339E-03
-1.956623E-03
-4.096814E-03
-1.716402E-03
-2.022751E-03
--1.108600E-01
-3.227014E-03
--2.447622E-03
-4.075421E-03
-1.582493E-02
-4.847858E-03
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-5.213000E+01
-5.552351E+02
--6.019876E-01
-2.938936E-01
-2.126970E-01
-3.363271E-01
--6.928646E-01
-3.077152E-01
--2.976474E-01
-5.830705E-02
-7.804821E-01
-3.967156E-01
-5.737502E-01
-1.090147E-01
--2.867929E-01
-1.312720E-01
--4.735578E-01
-6.714577E-02
--6.340442E-02
-4.240623E-02
--1.594570E-01
-1.167021E-01
--5.403124E-02
-6.452745E-02
--2.670969E-01
-5.822561E-02
--3.033558E-01
-4.890487E-02
--3.515557E-01
-5.069681E-02
-2.257462E-01
-4.682933E-02
--1.449924E-02
-1.625521E-02
-2.809498E-01
-6.883451E-02
-1.904808E-01
-1.004755E-01
-2.570005E-01
-4.301248E-02
-9.493600E-02
-7.708499E-02
--2.804222E-01
-4.455703E-02
-3.199914E-01
-7.435651E-02
--2.818069E-04
-7.231318E-02
-3.689494E-01
-1.349712E-01
diff --git a/tests/test_score_total_yn/test_score_total_yn.py b/tests/test_score_total_yn/test_score_total_yn.py
deleted file mode 100644
index 80f947f920..0000000000
--- a/tests/test_score_total_yn/test_score_total_yn.py
+++ /dev/null
@@ -1,35 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness, PyAPITestHarness
-import openmc
-
-
-class ScoreTotalYNTestHarness(PyAPITestHarness):
-    def _build_inputs(self):
-        filt = openmc.Filter(type='cell', bins=(10, 21, 22, 23))
-        tallies = [openmc.Tally(tally_id=i) for i in range(1, 5)]
-        [t.add_filter(filt) for t in tallies]
-        tallies[0].add_score('total')
-        [t.add_score('total-y4') for t in tallies[1:]]
-        [t.add_nuclide('U-235') for t in tallies[1:]]
-        [t.add_nuclide('total') for t in tallies[1:]]
-        tallies[1].estimator = 'tracklength'
-        tallies[2].estimator = 'analog'
-        tallies[3].estimator = 'collision'
-        self._input_set.tallies = openmc.TalliesFile()
-        [self._input_set.tallies.add_tally(t) for t in tallies]
-
-        super(ScoreTotalYNTestHarness, self)._build_inputs()
-
-    def _cleanup(self):
-        super(ScoreTotalYNTestHarness, self)._cleanup()
-        f = os.path.join(os.getcwd(), 'tallies.xml')
-        if os.path.exists(f): os.remove(f)
-
-
-if __name__ == '__main__':
-    harness = ScoreTotalYNTestHarness('statepoint.10.*', True)
-    harness.main()
diff --git a/tests/test_seed/results_true.dat b/tests/test_seed/results_true.dat
index df79ce1ced..35e9c968b0 100644
--- a/tests/test_seed/results_true.dat
+++ b/tests/test_seed/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-2.951164E-01 2.504580E-03
+3.131925E-01 7.639726E-03
diff --git a/tests/test_source/inputs_true.dat b/tests/test_source/inputs_true.dat
new file mode 100644
index 0000000000..69a1e2ea84
--- /dev/null
+++ b/tests/test_source/inputs_true.dat
@@ -0,0 +1 @@
+526c91551d9a80dc01216e5cb04162253f12ec684cc2b4912ca18cfc510f1ea2e5303029f1c1607882082b0c2c8a47f25dd5be14678f449a1579e3601d1bdec5
\ No newline at end of file
diff --git a/tests/test_source/results_true.dat b/tests/test_source/results_true.dat
new file mode 100644
index 0000000000..e7ef218ad2
--- /dev/null
+++ b/tests/test_source/results_true.dat
@@ -0,0 +1,2 @@
+k-combined:
+3.026614E-01 3.952004E-03
diff --git a/tests/test_source/test_source.py b/tests/test_source/test_source.py
new file mode 100644
index 0000000000..0abae4344e
--- /dev/null
+++ b/tests/test_source/test_source.py
@@ -0,0 +1,68 @@
+#!/usr/bin/env python
+
+from math import pi
+import os
+import sys
+
+import numpy as np
+
+sys.path.insert(0, os.pardir)
+from testing_harness import PyAPITestHarness
+import openmc
+
+
+class SourceTestHarness(PyAPITestHarness):
+    def _build_inputs(self):
+        mat1 = openmc.Material(material_id=1)
+        mat1.set_density('g/cm3', 4.5)
+        mat1.add_nuclide(openmc.Nuclide('U-235', '71c'), 1.0)
+        materials = openmc.Materials([mat1])
+        materials.export_to_xml()
+
+        sphere = openmc.Sphere(surface_id=1, R=10.0, boundary_type='vacuum')
+        inside_sphere = openmc.Cell(cell_id=1)
+        inside_sphere.region = -sphere
+        inside_sphere.fill = mat1
+
+        root = openmc.Universe(universe_id=0)
+        root.add_cell(inside_sphere)
+        geometry = openmc.Geometry()
+        geometry.root_universe = root
+        geometry.export_to_xml()
+
+        # Create an array of different sources
+        x_dist = openmc.stats.Uniform(-3., 3.)
+        y_dist = openmc.stats.Discrete([-4., -1., 3.], [0.2, 0.3, 0.5])
+        z_dist = openmc.stats.Tabular([-2., 0., 2.], [0.2, 0.3, 0.2])
+        spatial1 = openmc.stats.CartesianIndependent(x_dist, y_dist, z_dist)
+        spatial2 = openmc.stats.Box([-4., -4., -4.], [4., 4., 4.])
+        spatial3 = openmc.stats.Point([1.2, -2.3, 0.781])
+
+        mu_dist = openmc.stats.Discrete([-1., 0., 1.], [0.5, 0.25, 0.25])
+        phi_dist = openmc.stats.Uniform(0., 6.28318530718)
+        angle1 = openmc.stats.PolarAzimuthal(mu_dist, phi_dist)
+        angle2 = openmc.stats.Monodirectional(reference_uvw=[0., 1., 0.])
+        angle3 = openmc.stats.Isotropic()
+
+        E = np.logspace(-6, 1)
+        p = np.sin(np.linspace(0., pi))
+        p /= sum(np.diff(E)*p[:-1])
+        energy1 = openmc.stats.Maxwell(1.2895)
+        energy2 = openmc.stats.Watt(0.988, 2.249)
+        energy3 = openmc.stats.Tabular(E, p, interpolation='histogram')
+
+        source1 = openmc.Source(spatial1, angle1, energy1, strength=0.5)
+        source2 = openmc.Source(spatial2, angle2, energy2, strength=0.3)
+        source3 = openmc.Source(spatial3, angle3, energy3, strength=0.2)
+
+        settings = openmc.Settings()
+        settings.batches = 10
+        settings.inactive = 5
+        settings.particles = 1000
+        settings.source = [source1, source2, source3]
+        settings.export_to_xml()
+
+
+if __name__ == '__main__':
+    harness = SourceTestHarness('statepoint.10.h5')
+    harness.main()
diff --git a/tests/test_source_angle_mono/geometry.xml b/tests/test_source_angle_mono/geometry.xml
deleted file mode 100644
index bc56030e18..0000000000
--- a/tests/test_source_angle_mono/geometry.xml
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0"?>
-<geometry>
-
-  <!-- Sphere with radius 10 -->
-  <surface id="1" type="sphere" coeffs="0 0 0 10" boundary="vacuum"/>
-  <cell id="1" material="1" region="-1" />
-    
-</geometry>
diff --git a/tests/test_source_angle_mono/materials.xml b/tests/test_source_angle_mono/materials.xml
deleted file mode 100644
index 315c0fa848..0000000000
--- a/tests/test_source_angle_mono/materials.xml
+++ /dev/null
@@ -1,9 +0,0 @@
-<?xml version="1.0"?>
-<materials>
-
-  <material id="1">
-    <density value="4.5" units="g/cc" />
-    <nuclide name="U-235" xs="71c" ao="1.0" />
-  </material>
-
-</materials>
diff --git a/tests/test_source_angle_mono/results_true.dat b/tests/test_source_angle_mono/results_true.dat
deleted file mode 100644
index 42e948758a..0000000000
--- a/tests/test_source_angle_mono/results_true.dat
+++ /dev/null
@@ -1,2 +0,0 @@
-k-combined:
-2.964943E-01 1.201478E-02
diff --git a/tests/test_source_angle_mono/settings.xml b/tests/test_source_angle_mono/settings.xml
deleted file mode 100644
index 5029aa816c..0000000000
--- a/tests/test_source_angle_mono/settings.xml
+++ /dev/null
@@ -1,15 +0,0 @@
-<?xml version="1.0"?>
-<settings>
-
-  <eigenvalue>
-    <batches>10</batches>
-    <inactive>5</inactive>
-    <particles>1000</particles>
-  </eigenvalue>
-
-  <source>
-    <space type="box" parameters="-4 -4 -4  4  4  4" />
-    <angle type="monodirectional" parameters="1 0 0" />
-  </source>
-
-</settings>
diff --git a/tests/test_source_angle_mono/test_source_angle_mono.py b/tests/test_source_angle_mono/test_source_angle_mono.py
deleted file mode 100644
index 2a595f3e66..0000000000
--- a/tests/test_source_angle_mono/test_source_angle_mono.py
+++ /dev/null
@@ -1,11 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness
-
-
-if __name__ == '__main__':
-    harness = TestHarness('statepoint.10.*')
-    harness.main()
diff --git a/tests/test_source_energy_maxwell/geometry.xml b/tests/test_source_energy_maxwell/geometry.xml
deleted file mode 100644
index bc56030e18..0000000000
--- a/tests/test_source_energy_maxwell/geometry.xml
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0"?>
-<geometry>
-
-  <!-- Sphere with radius 10 -->
-  <surface id="1" type="sphere" coeffs="0 0 0 10" boundary="vacuum"/>
-  <cell id="1" material="1" region="-1" />
-    
-</geometry>
diff --git a/tests/test_source_energy_maxwell/materials.xml b/tests/test_source_energy_maxwell/materials.xml
deleted file mode 100644
index 315c0fa848..0000000000
--- a/tests/test_source_energy_maxwell/materials.xml
+++ /dev/null
@@ -1,9 +0,0 @@
-<?xml version="1.0"?>
-<materials>
-
-  <material id="1">
-    <density value="4.5" units="g/cc" />
-    <nuclide name="U-235" xs="71c" ao="1.0" />
-  </material>
-
-</materials>
diff --git a/tests/test_source_energy_maxwell/results_true.dat b/tests/test_source_energy_maxwell/results_true.dat
deleted file mode 100644
index 37b8b36b99..0000000000
--- a/tests/test_source_energy_maxwell/results_true.dat
+++ /dev/null
@@ -1,2 +0,0 @@
-k-combined:
-2.886671E-01 7.534631E-03
diff --git a/tests/test_source_energy_maxwell/settings.xml b/tests/test_source_energy_maxwell/settings.xml
deleted file mode 100644
index d0543785b5..0000000000
--- a/tests/test_source_energy_maxwell/settings.xml
+++ /dev/null
@@ -1,15 +0,0 @@
-<?xml version="1.0"?>
-<settings>
-
-  <eigenvalue>
-    <batches>10</batches>
-    <inactive>5</inactive>
-    <particles>1000</particles>
-  </eigenvalue>
-
-  <source>
-    <space type="box" parameters="-4 -4 -4  4  4  4" />
-    <energy type="maxwell" parameters="1.2895" />
-  </source>
-
-</settings>
diff --git a/tests/test_source_energy_maxwell/test_source_energy_maxwell.py b/tests/test_source_energy_maxwell/test_source_energy_maxwell.py
deleted file mode 100644
index 2a595f3e66..0000000000
--- a/tests/test_source_energy_maxwell/test_source_energy_maxwell.py
+++ /dev/null
@@ -1,11 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness
-
-
-if __name__ == '__main__':
-    harness = TestHarness('statepoint.10.*')
-    harness.main()
diff --git a/tests/test_source_energy_mono/geometry.xml b/tests/test_source_energy_mono/geometry.xml
deleted file mode 100644
index bc56030e18..0000000000
--- a/tests/test_source_energy_mono/geometry.xml
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0"?>
-<geometry>
-
-  <!-- Sphere with radius 10 -->
-  <surface id="1" type="sphere" coeffs="0 0 0 10" boundary="vacuum"/>
-  <cell id="1" material="1" region="-1" />
-    
-</geometry>
diff --git a/tests/test_source_energy_mono/materials.xml b/tests/test_source_energy_mono/materials.xml
deleted file mode 100644
index 315c0fa848..0000000000
--- a/tests/test_source_energy_mono/materials.xml
+++ /dev/null
@@ -1,9 +0,0 @@
-<?xml version="1.0"?>
-<materials>
-
-  <material id="1">
-    <density value="4.5" units="g/cc" />
-    <nuclide name="U-235" xs="71c" ao="1.0" />
-  </material>
-
-</materials>
diff --git a/tests/test_source_energy_mono/results_true.dat b/tests/test_source_energy_mono/results_true.dat
deleted file mode 100644
index 029376bf37..0000000000
--- a/tests/test_source_energy_mono/results_true.dat
+++ /dev/null
@@ -1,2 +0,0 @@
-k-combined:
-3.002731E-01 7.561170E-03
diff --git a/tests/test_source_energy_mono/settings.xml b/tests/test_source_energy_mono/settings.xml
deleted file mode 100644
index 9093efec97..0000000000
--- a/tests/test_source_energy_mono/settings.xml
+++ /dev/null
@@ -1,15 +0,0 @@
-<?xml version="1.0"?>
-<settings>
-
-  <eigenvalue>
-    <batches>10</batches>
-    <inactive>5</inactive>
-    <particles>1000</particles>
-  </eigenvalue>
-
-  <source>
-    <space type="box" parameters="-4 -4 -4  4  4  4" />
-    <energy type="monoenergetic" parameters="0.0253e-6" />
-  </source>
-
-</settings>
diff --git a/tests/test_source_energy_mono/test_source_energy_mono.py b/tests/test_source_energy_mono/test_source_energy_mono.py
deleted file mode 100644
index 2a595f3e66..0000000000
--- a/tests/test_source_energy_mono/test_source_energy_mono.py
+++ /dev/null
@@ -1,11 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness
-
-
-if __name__ == '__main__':
-    harness = TestHarness('statepoint.10.*')
-    harness.main()
diff --git a/tests/test_source_file/results_true.dat b/tests/test_source_file/results_true.dat
index fee61dda26..782e471766 100644
--- a/tests/test_source_file/results_true.dat
+++ b/tests/test_source_file/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-2.962911E-01 4.073420E-03
+2.939526E-01 6.311736E-03
diff --git a/tests/test_source_point/geometry.xml b/tests/test_source_point/geometry.xml
deleted file mode 100644
index bc56030e18..0000000000
--- a/tests/test_source_point/geometry.xml
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0"?>
-<geometry>
-
-  <!-- Sphere with radius 10 -->
-  <surface id="1" type="sphere" coeffs="0 0 0 10" boundary="vacuum"/>
-  <cell id="1" material="1" region="-1" />
-    
-</geometry>
diff --git a/tests/test_source_point/materials.xml b/tests/test_source_point/materials.xml
deleted file mode 100644
index 315c0fa848..0000000000
--- a/tests/test_source_point/materials.xml
+++ /dev/null
@@ -1,9 +0,0 @@
-<?xml version="1.0"?>
-<materials>
-
-  <material id="1">
-    <density value="4.5" units="g/cc" />
-    <nuclide name="U-235" xs="71c" ao="1.0" />
-  </material>
-
-</materials>
diff --git a/tests/test_source_point/results_true.dat b/tests/test_source_point/results_true.dat
deleted file mode 100644
index fe9a0d78d4..0000000000
--- a/tests/test_source_point/results_true.dat
+++ /dev/null
@@ -1,2 +0,0 @@
-k-combined:
-3.041148E-01 4.558319E-03
diff --git a/tests/test_source_point/test_source_point.py b/tests/test_source_point/test_source_point.py
deleted file mode 100644
index 2a595f3e66..0000000000
--- a/tests/test_source_point/test_source_point.py
+++ /dev/null
@@ -1,11 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import sys
-sys.path.insert(0, os.pardir)
-from testing_harness import TestHarness
-
-
-if __name__ == '__main__':
-    harness = TestHarness('statepoint.10.*')
-    harness.main()
diff --git a/tests/test_sourcepoint_latest/results_true.dat b/tests/test_sourcepoint_latest/results_true.dat
index 5263a6b7fd..7b2fbf37f5 100644
--- a/tests/test_sourcepoint_latest/results_true.dat
+++ b/tests/test_sourcepoint_latest/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-3.021779E-01 3.813358E-03
+2.943619E-01 3.309635E-03
diff --git a/tests/test_sourcepoint_restart/results_true.dat b/tests/test_sourcepoint_restart/results_true.dat
index 0e4eef9a9d..49afeb1d52 100644
--- a/tests/test_sourcepoint_restart/results_true.dat
+++ b/tests/test_sourcepoint_restart/results_true.dat
@@ -1,16 +1,16 @@
 k-combined:
-3.021779E-01 3.813358E-03
+2.943619E-01 3.309635E-03
 tally 1:
-7.000000E-03
-2.100000E-05
-1.127639E-03
-7.464355E-07
--1.264355E-03
-1.192757E-06
-8.769846E-04
-1.117508E-06
-3.359153E-03
-4.366438E-06
+1.100000E-02
+3.700000E-05
+1.307570E-03
+2.851451E-06
+1.564980E-03
+2.368303E-06
+3.138136E-03
+5.769887E-06
+7.719235E-03
+2.632583E-05
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -19,50 +19,38 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-6.107648E-04
-3.730336E-07
+2.976389E-04
+8.858892E-08
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+8.816169E-04
+7.772484E-07
 1.000000E-03
 1.000000E-06
-6.713061E-04
-4.506518E-07
-1.759778E-04
-3.096817E-08
--2.506458E-04
-6.282332E-08
-6.069794E-04
-3.684240E-07
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
+8.782909E-04
+7.713950E-07
+6.570925E-04
+4.317705E-07
+3.763366E-04
+1.416293E-07
 0.000000E+00
 0.000000E+00
 7.000000E-03
 1.500000E-05
-4.398928E-03
-8.198908E-06
-1.784486E-03
-3.422315E-06
-8.494423E-04
-9.262242E-07
-4.566637E-03
-5.646039E-06
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-6.069794E-04
-3.684240E-07
-0.000000E+00
-0.000000E+00
+3.445754E-03
+3.819507E-06
+2.124056E-03
+1.976201E-06
+1.542203E-03
+1.531669E-06
+4.135720E-03
+4.532612E-06
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -71,6 +59,8 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
+5.874391E-04
+1.725424E-07
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -79,18 +69,28 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
+3.079655E-04
+9.484274E-08
+1.000000E-03
+1.000000E-06
+9.451745E-04
+8.933548E-07
+8.400323E-04
+7.056542E-07
+6.931788E-04
+4.804969E-07
 0.000000E+00
 0.000000E+00
 3.000000E-03
 3.000000E-06
--1.419189E-03
-9.791601E-07
--3.125982E-05
-5.086129E-07
-3.291570E-04
-1.943609E-07
-1.525426E-03
-8.346311E-07
+1.134842E-03
+1.040850E-06
+6.127525E-05
+3.988312E-07
+4.938488E-05
+2.738492E-07
+1.484493E-03
+9.722888E-07
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -121,18 +121,136 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+1.700000E-02
+7.100000E-05
+5.492922E-03
+1.013834E-05
+5.773309E-04
+3.561549E-06
+2.550048E-03
+3.841061E-06
+8.048523E-03
+1.583844E-05
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+5.915762E-04
+1.749886E-07
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+1.200000E-02
+4.600000E-05
+9.302157E-04
+3.853850E-06
+1.874541E-03
+3.092623E-06
+-1.511552E-03
+4.053466E-06
+5.941986E-03
+9.853873E-06
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+1.186549E-03
+5.291648E-07
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+2.935668E-04
+8.618149E-08
 1.000000E-03
 1.000000E-06
--1.542107E-05
-2.378095E-10
--4.996433E-04
-2.496434E-07
-2.312244E-05
-5.346472E-10
-3.053824E-04
-9.325841E-08
+9.893707E-04
+9.788543E-07
+9.682814E-04
+9.375689E-07
+9.370683E-04
+8.780970E-07
 0.000000E+00
 0.000000E+00
+8.000000E-03
+2.000000E-05
+3.721382E-03
+4.736982E-06
+-1.037031E-04
+6.648392E-07
+-5.996856E-04
+9.642316E-07
+3.248622E-03
+4.063214E-06
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -141,6 +259,8 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
+2.938723E-04
+8.636093E-08
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -161,16 +281,16 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-2.000000E-02
-8.600000E-05
-3.995253E-03
-1.648172E-05
-3.349403E-03
-1.166653E-05
-4.208940E-03
-7.077664E-06
-1.033905E-02
-2.197265E-05
+2.000000E-03
+2.000000E-06
+1.502634E-03
+1.146555E-06
+7.198331E-04
+3.484978E-07
+-3.426513E-05
+1.342349E-07
+1.511030E-03
+1.198311E-06
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -179,8 +299,6 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-6.029991E-04
-1.818050E-07
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -201,416 +319,18 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-2.600000E-02
-1.620000E-04
-7.996640E-03
-1.882484E-05
-3.921034E-03
-1.157453E-05
-1.644629E-03
-3.217857E-06
-1.159182E-02
-3.534975E-05
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
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@@ -1521,16 +881,16 @@ tally 1:
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-6.428816E-06
-2.155707E-03
-2.884510E-06
-1.038058E-02
-2.477423E-05
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -2139,198 +2319,18 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-3.007686E-04
-9.046177E-08
-1.000000E-03
-1.000000E-06
-7.019813E-04
-4.927778E-07
-2.391667E-04
-5.720072E-08
--1.881699E-04
-3.540793E-08
-2.131373E-03
-2.696833E-06
-1.000000E-03
-1.000000E-06
-9.937981E-04
-9.876347E-07
-9.814521E-04
-9.632483E-07
-9.630767E-04
-9.275168E-07
 0.000000E+00
 0.000000E+00
 6.000000E-03
 1.000000E-05
-2.774441E-03
-2.455060E-06
--4.125360E-04
-1.557128E-06
--9.369606E-04
-2.349382E-06
-3.666415E-03
-4.871762E-06
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-6.057201E-04
-1.834492E-07
-1.000000E-03
-1.000000E-06
-8.429685E-04
-7.105959E-07
-5.658938E-04
-3.202358E-07
-2.330721E-04
-5.432261E-08
-6.015373E-04
-3.618471E-07
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-3.000000E-03
-5.000000E-06
-1.596397E-03
-1.275630E-06
-4.822532E-04
-1.627925E-07
-2.983020E-04
-9.401537E-08
-1.221939E-03
-7.467452E-07
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
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-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-8.000000E-03
-4.000000E-05
--7.915490E-05
-1.150292E-07
-2.293529E-03
-2.932682E-06
-1.356149E-03
-9.471925E-07
-4.579650E-03
-7.918475E-06
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
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-0.000000E+00
-3.022304E-04
-9.134324E-08
-0.000000E+00
-0.000000E+00
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-0.000000E+00
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-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-1.100000E-02
-3.300000E-05
-5.093647E-03
-1.217545E-05
-1.852586E-03
-4.478970E-06
-9.768799E-04
-1.395189E-06
-4.578572E-03
-5.491453E-06
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-3.102008E-04
-9.622454E-08
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-3.053824E-04
-9.325841E-08
-1.000000E-03
-1.000000E-06
-9.817451E-04
-9.638234E-07
-9.457351E-04
-8.944149E-07
-8.929546E-04
-7.973680E-07
-0.000000E+00
-0.000000E+00
-4.000000E-03
-4.000000E-06
--1.284380E-03
-9.356368E-07
--5.965448E-04
-6.643272E-07
-3.352677E-04
-2.956621E-07
-1.526686E-03
-6.527074E-07
+1.316884E-03
+2.894217E-06
+2.095957E-03
+1.439521E-06
+1.013831E-04
+8.405300E-07
+2.404012E-03
+1.641294E-06
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -2363,14 +2363,14 @@ tally 1:
 0.000000E+00
 1.000000E-03
 1.000000E-06
--3.965739E-04
-1.572709E-07
--2.640937E-04
-6.974547E-08
-4.389371E-04
-1.926657E-07
-3.053824E-04
-9.325841E-08
+-3.865739E-04
+1.494394E-07
+-2.758409E-04
+7.608820E-08
+4.354374E-04
+1.896058E-07
+5.871337E-04
+3.447260E-07
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -2402,11 +2402,11 @@ tally 1:
 0.000000E+00
 0.000000E+00
 tally 2:
-5.720364E-01
-6.548043E-02
-6.217988E-01
-7.736906E-02
-3.624477E+00
-2.628737E+00
-4.047526E+01
-3.278231E+02
+5.656887E-01
+6.401442E-02
+6.158976E-01
+7.588371E-02
+3.588479E+00
+2.575762E+00
+4.003041E+01
+3.205440E+02
diff --git a/tests/test_statepoint_batch/results_true.dat b/tests/test_statepoint_batch/results_true.dat
index 95b536997e..dd5195ef0d 100644
--- a/tests/test_statepoint_batch/results_true.dat
+++ b/tests/test_statepoint_batch/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-3.051173E-01 6.930168E-04
+3.003258E-01 3.388059E-03
diff --git a/tests/test_statepoint_batch/test_statepoint_batch.py b/tests/test_statepoint_batch/test_statepoint_batch.py
index e1dc167ffd..c8da1c9adc 100644
--- a/tests/test_statepoint_batch/test_statepoint_batch.py
+++ b/tests/test_statepoint_batch/test_statepoint_batch.py
@@ -8,10 +8,7 @@ from testing_harness import TestHarness
 
 class StatepointTestHarness(TestHarness):
     def __init__(self):
-        self._sp_name = None
-        self._tallies = False
-        self._opts = None
-        self._args = None
+        super(StatepointTestHarness, self).__init__(None, False)
 
     def _test_output_created(self):
         """Make sure statepoint files have been created."""
diff --git a/tests/test_statepoint_interval/results_true.dat b/tests/test_statepoint_interval/results_true.dat
index 5263a6b7fd..7b2fbf37f5 100644
--- a/tests/test_statepoint_interval/results_true.dat
+++ b/tests/test_statepoint_interval/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-3.021779E-01 3.813358E-03
+2.943619E-01 3.309635E-03
diff --git a/tests/test_statepoint_interval/test_statepoint_interval.py b/tests/test_statepoint_interval/test_statepoint_interval.py
index e7a42cdbe7..004a830808 100644
--- a/tests/test_statepoint_interval/test_statepoint_interval.py
+++ b/tests/test_statepoint_interval/test_statepoint_interval.py
@@ -8,10 +8,7 @@ from testing_harness import TestHarness
 
 class StatepointTestHarness(TestHarness):
     def __init__(self):
-        self._sp_name = None
-        self._tallies = False
-        self._opts = None
-        self._args = None
+        super(StatepointTestHarness, self).__init__(None, False)
 
     def _test_output_created(self):
         """Make sure statepoint files have been created."""
diff --git a/tests/test_statepoint_restart/results_true.dat b/tests/test_statepoint_restart/results_true.dat
index 7fb39ef0ac..49afeb1d52 100644
--- a/tests/test_statepoint_restart/results_true.dat
+++ b/tests/test_statepoint_restart/results_true.dat
@@ -1,856 +1,56 @@
 k-combined:
-0.000000E+00 0.000000E+00
+2.943619E-01 3.309635E-03
 tally 1:
+1.100000E-02
+3.700000E-05
+1.307570E-03
+2.851451E-06
+1.564980E-03
+2.368303E-06
+3.138136E-03
+5.769887E-06
+7.719235E-03
+2.632583E-05
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
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+0.000000E+00
+0.000000E+00
+2.976389E-04
+8.858892E-08
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+0.000000E+00
+8.816169E-04
+7.772484E-07
 1.000000E-03
 1.000000E-06
-6.655302E-04
-4.429305E-07
-1.643958E-04
-2.702597E-08
--2.613362E-04
-6.829663E-08
-9.306024E-04
-8.660208E-07
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
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-0.000000E+00
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-0.000000E+00
-0.000000E+00
-1.000000E-03
-1.000000E-06
-3.222834E-05
-1.038666E-09
--4.984420E-04
-2.484444E-07
--4.825883E-05
-2.328915E-09
-1.221939E-03
-7.467452E-07
-0.000000E+00
-0.000000E+00
-0.000000E+00
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-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-1.000000E-03
-1.000000E-06
--5.510082E-04
-3.036101E-07
--4.458491E-05
-1.987814E-09
-4.082832E-04
-1.666952E-07
-3.102008E-04
-9.622454E-08
-0.000000E+00
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-0.000000E+00
-6.000000E-03
-2.000000E-05
--1.959329E-04
-1.780222E-06
--1.481510E-03
-1.429609E-06
-2.196341E-04
-1.036368E-06
-3.355616E-03
-5.662237E-06
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@@ -859,8 +59,8 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -869,68 +69,28 @@ tally 1:
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@@ -939,8 +99,6 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -961,16 +119,6 @@ tally 1:
 0.000000E+00
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 0.000000E+00
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@@ -979,38 +127,8 @@ tally 1:
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@@ -1019,8 +137,6 @@ tally 1:
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@@ -1041,426 +157,30 @@ tally 1:
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-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-1.100000E-02
-8.500000E-05
-3.095504E-03
-7.078598E-06
--9.175432E-04
-6.837255E-07
--7.570383E-04
-4.237745E-07
-4.530394E-03
-1.567294E-05
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-3.102008E-04
-9.622454E-08
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-1.100000E-02
-7.300000E-05
-3.067467E-03
-5.676919E-06
-2.403624E-03
-2.913670E-06
-1.402382E-03
-1.691430E-06
-5.216821E-03
-1.489979E-05
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-3.007686E-04
-9.046177E-08
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-3.000000E-03
-5.000000E-06
-1.008832E-03
-8.754929E-07
--8.318856E-04
-3.573666E-07
--9.886180E-04
-7.790297E-07
-1.851773E-03
-2.496075E-06
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-1.000000E-03
-1.000000E-06
-8.429685E-04
-7.105959E-07
-5.658938E-04
-3.202358E-07
-2.330721E-04
-5.432261E-08
-6.015373E-04
-3.618471E-07
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-3.000000E-03
-5.000000E-06
-1.596397E-03
-1.275630E-06
-4.822532E-04
-1.627925E-07
-2.983020E-04
-9.401537E-08
-1.221939E-03
-7.467452E-07
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-6.204016E-04
-3.848982E-07
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-3.000000E-03
-9.000000E-06
-2.576209E-03
-6.636855E-06
-1.844839E-03
-3.403429E-06
-9.997002E-04
-9.994005E-07
-1.240803E-03
-1.539593E-06
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-3.102008E-04
-9.622454E-08
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
 1.000000E-03
 1.000000E-06
-1.590395E-04
-2.529356E-08
--4.620597E-04
-2.134991E-07
--2.285026E-04
-5.221342E-08
-3.102008E-04
-9.622454E-08
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
+-3.865739E-04
+1.494394E-07
+-2.758409E-04
+7.608820E-08
+4.354374E-04
+1.896058E-07
+5.871337E-04
+3.447260E-07
 0.000000E+00
 0.000000E+00
 0.000000E+00
@@ -2402,11 +2402,11 @@ tally 1:
 0.000000E+00
 0.000000E+00
 tally 2:
-2.288800E-01
-2.621372E-02
-2.489848E-01
-3.102301E-02
-1.451035E+00
-1.053707E+00
-1.618797E+01
-1.311489E+02
+5.656887E-01
+6.401442E-02
+6.158976E-01
+7.588371E-02
+3.588479E+00
+2.575762E+00
+4.003041E+01
+3.205440E+02
diff --git a/tests/test_statepoint_restart/test_statepoint_restart.py b/tests/test_statepoint_restart/test_statepoint_restart.py
index 59b77a8213..d39bf7cd5f 100644
--- a/tests/test_statepoint_restart/test_statepoint_restart.py
+++ b/tests/test_statepoint_restart/test_statepoint_restart.py
@@ -5,11 +5,15 @@ import os
 import sys
 sys.path.insert(0, os.pardir)
 from testing_harness import TestHarness
-from openmc.statepoint import StatePoint
-from openmc.executor import Executor
+import openmc
 
 
 class StatepointRestartTestHarness(TestHarness):
+    def __init__(self, final_sp, restart_sp, tallies_present=False):
+        super(StatepointRestartTestHarness, self).__init__(final_sp,
+                                                           tallies_present)
+        self._restart_sp = restart_sp
+
     def execute_test(self):
         """Run OpenMC with the appropriate arguments and check the outputs."""
         try:
@@ -40,23 +44,25 @@ class StatepointRestartTestHarness(TestHarness):
 
     def _run_openmc_restart(self):
         # Get the name of the statepoint file.
-        statepoint = glob.glob(os.path.join(os.getcwd(), self._sp_name))
+        statepoint = glob.glob(os.path.join(os.getcwd(), self._restart_sp))
+        assert len(statepoint) == 1
+        statepoint = statepoint[0]
 
         # Run OpenMC
-        executor = Executor()
-
         if self._opts.mpi_exec is not None:
-            returncode = executor.run_simulation(mpi_procs=self._opts.mpi_np,
-                                                 restart_file=statepoint,
-                                                 openmc_exec=self._opts.exe,
-                                                 mpi_exec=self._opts.mpi_exec)
+            returncode = openmc.run(mpi_procs=self._opts.mpi_np,
+                                    restart_file=statepoint,
+                                    openmc_exec=self._opts.exe,
+                                    mpi_exec=self._opts.mpi_exec)
 
         else:
-            returncode = executor.run_simulation(openmc_exec=self._opts.exe)
+            returncode = openmc.run(openmc_exec=self._opts.exe,
+                                    restart_file=statepoint)
 
         assert returncode == 0, 'OpenMC did not exit successfully.'
 
 
 if __name__ == '__main__':
-    harness = StatepointRestartTestHarness('statepoint.07.*', True)
+    harness = StatepointRestartTestHarness('statepoint.10.h5',
+         'statepoint.07.h5', True)
     harness.main()
diff --git a/tests/test_statepoint_sourcesep/results_true.dat b/tests/test_statepoint_sourcesep/results_true.dat
index 5263a6b7fd..7b2fbf37f5 100644
--- a/tests/test_statepoint_sourcesep/results_true.dat
+++ b/tests/test_statepoint_sourcesep/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-3.021779E-01 3.813358E-03
+2.943619E-01 3.309635E-03
diff --git a/tests/test_survival_biasing/results_true.dat b/tests/test_survival_biasing/results_true.dat
index a97654cfa2..e44ec289a7 100644
--- a/tests/test_survival_biasing/results_true.dat
+++ b/tests/test_survival_biasing/results_true.dat
@@ -1,2 +1,20 @@
 k-combined:
-9.997733E-01 2.995572E-02
+9.686215E-01 1.511499E-02
+tally 1:
+4.243782E+01
+3.604528E+02
+1.770205E+01
+6.273029E+01
+2.176094E+00
+9.477949E-01
+1.881775E+00
+7.087350E-01
+4.868971E+00
+4.744828E+00
+3.400887E-02
+2.314715E-04
+3.644408E+02
+2.658287E+04
+tally 2:
+1.770205E+01
+6.273029E+01
diff --git a/tests/test_survival_biasing/tallies.xml b/tests/test_survival_biasing/tallies.xml
new file mode 100644
index 0000000000..8d939dfffc
--- /dev/null
+++ b/tests/test_survival_biasing/tallies.xml
@@ -0,0 +1,16 @@
+<?xml version="1.0"?>
+<tallies>
+
+  <tally id="1">
+    <scores>
+      flux total absorption fission nu-fission delayed-nu-fission kappa-fission
+    </scores>
+    <estimator>analog</estimator>
+  </tally>
+
+  <tally id="2">
+    <scores>total</scores>
+    <estimator>collision</estimator>
+  </tally>
+
+</tallies>
diff --git a/tests/test_survival_biasing/test_survival_biasing.py b/tests/test_survival_biasing/test_survival_biasing.py
index 2a595f3e66..ed6addec45 100644
--- a/tests/test_survival_biasing/test_survival_biasing.py
+++ b/tests/test_survival_biasing/test_survival_biasing.py
@@ -7,5 +7,5 @@ from testing_harness import TestHarness
 
 
 if __name__ == '__main__':
-    harness = TestHarness('statepoint.10.*')
+    harness = TestHarness('statepoint.10.*', True)
     harness.main()
diff --git a/tests/test_tallies/inputs_true.dat b/tests/test_tallies/inputs_true.dat
new file mode 100644
index 0000000000..e3d37be300
--- /dev/null
+++ b/tests/test_tallies/inputs_true.dat
@@ -0,0 +1 @@
+ea09926d8f5c6c96529bf5529f4deb3be78eda2da80adbbf3440147c337587358c2b1823bc72df9463676135573eb481dcd361b735f18365216645ee81092f1e
\ No newline at end of file
diff --git a/tests/test_tallies/results_true.dat b/tests/test_tallies/results_true.dat
new file mode 100644
index 0000000000..ff3a828454
--- /dev/null
+++ b/tests/test_tallies/results_true.dat
@@ -0,0 +1 @@
+a0c7d6ca246ecd7dd5fed06373af142390971401c4e97744f29e55810ab9c231c97c4d8947cdf0b3d2df0ae829a9ddf768e5b2d889bbea34f2b6db0e567db884
\ No newline at end of file
diff --git a/tests/test_tallies/test_tallies.py b/tests/test_tallies/test_tallies.py
new file mode 100644
index 0000000000..9e40d4185d
--- /dev/null
+++ b/tests/test_tallies/test_tallies.py
@@ -0,0 +1,197 @@
+#!/usr/bin/env python
+
+import os
+import sys
+sys.path.insert(0, os.pardir)
+from testing_harness import PyAPITestHarness
+from openmc import Filter, Mesh, Tally, Tallies
+from openmc.source import Source
+from openmc.stats import Box
+
+class TalliesTestHarness(PyAPITestHarness):
+    def _build_inputs(self):
+        # Build default materials/geometry
+        self._input_set.build_default_materials_and_geometry()
+
+        # Set settings explicitly
+        self._input_set.settings.batches = 5
+        self._input_set.settings.inactive = 0
+        self._input_set.settings.particles = 400
+        self._input_set.settings.source = Source(space=Box(
+            [-160, -160, -183], [160, 160, 183]))
+
+        azimuthal_bins = (-3.1416, -1.8850, -0.6283, 0.6283, 1.8850, 3.1416)
+        azimuthal_filter1 = Filter(type='azimuthal', bins=azimuthal_bins)
+        azimuthal_tally1 = Tally()
+        azimuthal_tally1.filters = [azimuthal_filter1]
+        azimuthal_tally1.scores = ['flux']
+        azimuthal_tally1.estimator = 'tracklength'
+
+        azimuthal_tally2 = Tally()
+        azimuthal_tally2.filters = [azimuthal_filter1]
+        azimuthal_tally2.scores = ['flux']
+        azimuthal_tally2.estimator = 'analog'
+
+        azimuthal_filter2 = Filter(type='azimuthal', bins=(5,))
+        azimuthal_tally3 = Tally()
+        azimuthal_tally3.filters = [azimuthal_filter2]
+        azimuthal_tally3.scores = ['flux']
+        azimuthal_tally3.estimator = 'tracklength'
+
+        mesh_2x2 = Mesh(mesh_id=1)
+        mesh_2x2.lower_left  = [-182.07, -182.07]
+        mesh_2x2.upper_right = [182.07,  182.07]
+        mesh_2x2.dimension = [2, 2]
+        mesh_filter = Filter(type='mesh')
+        mesh_filter.mesh = mesh_2x2
+        azimuthal_tally4 = Tally()
+        azimuthal_tally4.filters = [azimuthal_filter2, mesh_filter]
+        azimuthal_tally4.scores = ['flux']
+        azimuthal_tally4.estimator = 'tracklength'
+
+        cellborn_tally = Tally()
+        cellborn_tally.filters = [Filter(type='cellborn', bins=(10, 21, 22, 23))]
+        cellborn_tally.scores = ['total']
+
+        dg_tally = Tally()
+        dg_tally.filters = [Filter(type='delayedgroup', bins=(1, 2, 3, 4, 5, 6))]
+        dg_tally.scores = ['delayed-nu-fission']
+
+        four_groups = (0.0, 0.253e-6, 1.0e-3, 1.0, 20.0)
+        energy_filter = Filter(type='energy', bins=four_groups)
+        energy_tally = Tally()
+        energy_tally.filters = [energy_filter]
+        energy_tally.scores = ['total']
+
+        energyout_filter = Filter(type='energyout', bins=four_groups)
+        energyout_tally = Tally()
+        energyout_tally.filters = [energyout_filter]
+        energyout_tally.scores = ['scatter']
+
+        transfer_tally = Tally()
+        transfer_tally.filters = [energy_filter, energyout_filter]
+        transfer_tally.scores = ['scatter', 'nu-fission']
+
+        material_tally = Tally()
+        material_tally.filters = [Filter(type='material', bins=(1, 2, 3, 4))]
+        material_tally.scores = ['total']
+
+        mu_tally1 = Tally()
+        mu_tally1.filters = [Filter(type='mu', bins=(-1.0, -0.5, 0.0, 0.5, 1.0))]
+        mu_tally1.scores = ['scatter', 'nu-scatter']
+
+        mu_filter = Filter(type='mu', bins=(5,))
+        mu_tally2 = Tally()
+        mu_tally2.filters = [mu_filter]
+        mu_tally2.scores = ['scatter', 'nu-scatter']
+
+        mu_tally3 = Tally()
+        mu_tally3.filters = [mu_filter, mesh_filter]
+        mu_tally3.scores = ['scatter', 'nu-scatter']
+
+        polar_bins = (0.0, 0.6283, 1.2566, 1.8850, 2.5132, 3.1416)
+        polar_filter = Filter(type='polar', bins=polar_bins)
+        polar_tally1 = Tally()
+        polar_tally1.filters = [polar_filter]
+        polar_tally1.scores = ['flux']
+        polar_tally1.estimator = 'tracklength'
+
+        polar_tally2 = Tally()
+        polar_tally2.filters = [polar_filter]
+        polar_tally2.scores = ['flux']
+        polar_tally2.estimator = 'analog'
+
+        polar_filter2 = Filter(type='polar', bins=(5,))
+        polar_tally3 = Tally()
+        polar_tally3.filters = [polar_filter2]
+        polar_tally3.scores = ['flux']
+        polar_tally3.estimator = 'tracklength'
+
+        polar_tally4 = Tally()
+        polar_tally4.filters = [polar_filter2, mesh_filter]
+        polar_tally4.scores = ['flux']
+        polar_tally4.estimator = 'tracklength'
+
+        universe_tally = Tally()
+        universe_tally.filters = [Filter(type='universe', bins=(1, 2, 3, 4))]
+        universe_tally.scores = ['total']
+
+        cell_filter = Filter(type='cell', bins=(10, 21, 22, 23))
+        score_tallies = [Tally(), Tally(), Tally()]
+        for t in score_tallies:
+            t.filters = [cell_filter]
+            t.scores = ['absorption', 'delayed-nu-fission', 'events', 'fission',
+                        'inverse-velocity', 'kappa-fission', '(n,2n)', '(n,n1)',
+                        '(n,gamma)', 'nu-fission', 'scatter', 'elastic', 'total']
+        score_tallies[0].estimator = 'tracklength'
+        score_tallies[1].estimator = 'analog'
+        score_tallies[2].estimator = 'collision'
+
+        cell_filter2 = Filter(type='cell', bins=(21, 22, 23, 27, 28, 29))
+        flux_tallies = [Tally() for i in range(4)]
+        for t in flux_tallies:
+            t.filters = [cell_filter2]
+        flux_tallies[0].scores = ['flux']
+        for t in flux_tallies[1:]:
+            t.scores = ['flux-y5']
+        flux_tallies[1].estimator = 'tracklength'
+        flux_tallies[2].estimator = 'analog'
+        flux_tallies[3].estimator = 'collision'
+
+        scatter_tally1 = Tally()
+        scatter_tally1.filters = [cell_filter]
+        scatter_tally1.scores = ['scatter', 'scatter-1', 'scatter-2', 'scatter-3',
+                                 'scatter-4', 'nu-scatter', 'nu-scatter-1',
+                                 'nu-scatter-2', 'nu-scatter-3', 'nu-scatter-4']
+
+        scatter_tally2 = Tally()
+        scatter_tally2.filters = [cell_filter]
+        scatter_tally2.scores = ['scatter-p4', 'scatter-y4', 'nu-scatter-p4',
+                                 'nu-scatter-y3']
+
+        total_tallies = [Tally() for i in range(4)]
+        for t in total_tallies:
+            t.filters = [cell_filter]
+        total_tallies[0].scores = ['total']
+        for t in total_tallies[1:]:
+            t.scores = ['total-y4']
+            t.nuclides = ['U-235', 'total']
+        total_tallies[1].estimator = 'tracklength'
+        total_tallies[2].estimator = 'analog'
+        total_tallies[3].estimator = 'collision'
+
+        all_nuclide_tallies = [Tally(), Tally()]
+        for t in all_nuclide_tallies:
+            t.filters = [cell_filter]
+            t.nuclides = ['all']
+            t.scores = ['total']
+        all_nuclide_tallies[0].estimator = 'tracklength'
+        all_nuclide_tallies[0].estimator = 'collision'
+
+        self._input_set.tallies = Tallies()
+        self._input_set.tallies += (
+            [azimuthal_tally1, azimuthal_tally2, azimuthal_tally3,
+             azimuthal_tally4, cellborn_tally, dg_tally, energy_tally,
+             energyout_tally, transfer_tally, material_tally, mu_tally1,
+             mu_tally2, mu_tally3, polar_tally1, polar_tally2, polar_tally3,
+             polar_tally4, universe_tally])
+        self._input_set.tallies += score_tallies
+        self._input_set.tallies += flux_tallies
+        self._input_set.tallies += (scatter_tally1, scatter_tally2)
+        self._input_set.tallies += total_tallies
+        self._input_set.tallies += all_nuclide_tallies
+
+        self._input_set.export()
+
+    def _get_results(self):
+        return super(TalliesTestHarness, self)._get_results(hash_output=True)
+
+    def _cleanup(self):
+        super(TalliesTestHarness, self)._cleanup()
+        f = os.path.join(os.getcwd(), 'tallies.xml')
+        if os.path.exists(f): os.remove(f)
+
+
+if __name__ == '__main__':
+    harness = TalliesTestHarness('statepoint.5.*', True)
+    harness.main()
diff --git a/tests/test_tally_aggregation/inputs_true.dat b/tests/test_tally_aggregation/inputs_true.dat
new file mode 100644
index 0000000000..055ac76fd4
--- /dev/null
+++ b/tests/test_tally_aggregation/inputs_true.dat
@@ -0,0 +1 @@
+f819f1b3564ca1df1e235f120f4bd65003cd80935fa8261f0a5982b7e7ec5b2e7497716673c142fab99f3fb26c174ac7a12e145b9a6f2caf707d2a07702f6eb2
\ No newline at end of file
diff --git a/tests/test_tally_aggregation/results_true.dat b/tests/test_tally_aggregation/results_true.dat
new file mode 100644
index 0000000000..6c2d7a5193
--- /dev/null
+++ b/tests/test_tally_aggregation/results_true.dat
@@ -0,0 +1 @@
+840d2648f9ba782926c71baa84e5a2ad31331e156740a3d1e9d86af8f1f0d301ef8c0f69474975d365dbcf8d229a68c62d3e60286d18045e5254373f4e1010bf
\ No newline at end of file
diff --git a/tests/test_tally_aggregation/test_tally_aggregation.py b/tests/test_tally_aggregation/test_tally_aggregation.py
new file mode 100644
index 0000000000..fdc086e682
--- /dev/null
+++ b/tests/test_tally_aggregation/test_tally_aggregation.py
@@ -0,0 +1,87 @@
+#!/usr/bin/env python
+
+import os
+import sys
+import glob
+import hashlib
+sys.path.insert(0, os.pardir)
+from testing_harness import PyAPITestHarness
+import openmc
+
+
+class TallyAggregationTestHarness(PyAPITestHarness):
+    def _build_inputs(self):
+
+        # The summary.h5 file needs to be created to read in the tallies
+        self._input_set.settings.output = {'summary': True}
+
+        # Initialize the nuclides
+        u235 = openmc.Nuclide('U-235')
+        u238 = openmc.Nuclide('U-238')
+        pu239 = openmc.Nuclide('Pu-239')
+
+        # Initialize the filters
+        energy_filter = openmc.Filter(type='energy', bins=[0.0, 0.253e-6,
+                                                           1.0e-3, 1.0, 20.0])
+        distrib_filter   = openmc.Filter(type='distribcell', bins=[60])
+
+        # Initialized the tallies
+        tally = openmc.Tally(name='distribcell tally')
+        tally.filters = [energy_filter, distrib_filter]
+        tally.scores = ['nu-fission', 'total']
+        tally.nuclides = [u235, u238, pu239]
+        tallies_file = openmc.Tallies([tally])
+
+        # Export tallies to file
+        self._input_set.tallies = tallies_file
+        super(TallyAggregationTestHarness, self)._build_inputs()
+
+    def _get_results(self, hash_output=True):
+        """Digest info in the statepoint and return as a string."""
+
+        # Read the statepoint file.
+        statepoint = glob.glob(os.path.join(os.getcwd(), self._sp_name))[0]
+        sp = openmc.StatePoint(statepoint)
+
+        # Extract the tally of interest
+        tally = sp.get_tally(name='distribcell tally')
+
+        # Perform tally aggregations across filter bins, nuclides and scores
+        outstr = ''
+
+        # Sum across all energy filter bins
+        tally_sum = tally.summation(filter_type='energy')
+        outstr += ', '.join(map(str, tally_sum.mean))
+        outstr += ', '.join(map(str, tally_sum.std_dev))
+
+        # Sum across all distribcell filter bins
+        tally_sum = tally.summation(filter_type='distribcell')
+        outstr += ', '.join(map(str, tally_sum.mean))
+        outstr += ', '.join(map(str, tally_sum.std_dev))
+
+        # Sum across all nuclides
+        tally_sum = tally.summation(nuclides=['U-235', 'U-238', 'Pu-239'])
+        outstr += ', '.join(map(str, tally_sum.mean))
+        outstr += ', '.join(map(str, tally_sum.std_dev))
+
+        # Sum across all scores
+        tally_sum = tally.summation(scores=['nu-fission', 'total'])
+        outstr += ', '.join(map(str, tally_sum.mean))
+        outstr += ', '.join(map(str, tally_sum.std_dev))
+
+        # Hash the results if necessary
+        if hash_output:
+            sha512 = hashlib.sha512()
+            sha512.update(outstr.encode('utf-8'))
+            outstr = sha512.hexdigest()
+
+        return outstr
+
+    def _cleanup(self):
+        super(TallyAggregationTestHarness, self)._cleanup()
+        f = os.path.join(os.getcwd(), 'tallies.xml')
+        if os.path.exists(f): os.remove(f)
+
+if __name__ == '__main__':
+    harness = TallyAggregationTestHarness('statepoint.10.h5', True)
+    harness.main()
diff --git a/tests/test_tally_arithmetic/inputs_true.dat b/tests/test_tally_arithmetic/inputs_true.dat
new file mode 100644
index 0000000000..d7b854a51d
--- /dev/null
+++ b/tests/test_tally_arithmetic/inputs_true.dat
@@ -0,0 +1 @@
+bb7e730630f7bb4694a27fd77c3c0171f70c78df2681acc26b0ef88bcff367523b11335f487b46269325adbcee7faeb756484af64055c3c91b0103f7ed962053
\ No newline at end of file
diff --git a/tests/test_tally_arithmetic/results_true.dat b/tests/test_tally_arithmetic/results_true.dat
new file mode 100644
index 0000000000..ef2741cc12
--- /dev/null
+++ b/tests/test_tally_arithmetic/results_true.dat
@@ -0,0 +1,134 @@
+[[[ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]]
+
+ [[ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]]
+
+ [[ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]]
+
+ ..., 
+ [[ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]]
+
+ [[ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]]
+
+ [[ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]]][[[ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]]
+
+ [[ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]]
+
+ [[ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]]
+
+ ..., 
+ [[ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]]
+
+ [[ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]]
+
+ [[ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]]][[[ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]]
+
+ [[ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]]
+
+ [[ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]]
+
+ ..., 
+ [[ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]]
+
+ [[ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]]
+
+ [[ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]
+  [ 0.  0.  0.  0.]]][[[ 0.  0.  0.]
+  [ 0.  0.  0.]
+  [ 0.  0.  0.]
+  [ 0.  0.  0.]]
+
+ [[ 0.  0.  0.]
+  [ 0.  0.  0.]
+  [ 0.  0.  0.]
+  [ 0.  0.  0.]]
+
+ [[ 0.  0.  0.]
+  [ 0.  0.  0.]
+  [ 0.  0.  0.]
+  [ 0.  0.  0.]]
+
+ ..., 
+ [[ 0.  0.  0.]
+  [ 0.  0.  0.]
+  [ 0.  0.  0.]
+  [ 0.  0.  0.]]
+
+ [[ 0.  0.  0.]
+  [ 0.  0.  0.]
+  [ 0.  0.  0.]
+  [ 0.  0.  0.]]
+
+ [[ 0.  0.  0.]
+  [ 0.  0.  0.]
+  [ 0.  0.  0.]
+  [ 0.  0.  0.]]][[[ 0.  0.  0.]
+  [ 0.  0.  0.]
+  [ 0.  0.  0.]]
+
+ [[ 0.  0.  0.]
+  [ 0.  0.  0.]
+  [ 0.  0.  0.]]
+
+ [[ 0.  0.  0.]
+  [ 0.  0.  0.]
+  [ 0.  0.  0.]]
+
+ ..., 
+ [[ 0.  0.  0.]
+  [ 0.  0.  0.]
+  [ 0.  0.  0.]]
+
+ [[ 0.  0.  0.]
+  [ 0.  0.  0.]
+  [ 0.  0.  0.]]
+
+ [[ 0.  0.  0.]
+  [ 0.  0.  0.]
+  [ 0.  0.  0.]]]
\ No newline at end of file
diff --git a/tests/test_tally_arithmetic/test_tally_arithmetic.py b/tests/test_tally_arithmetic/test_tally_arithmetic.py
new file mode 100644
index 0000000000..a5919909f3
--- /dev/null
+++ b/tests/test_tally_arithmetic/test_tally_arithmetic.py
@@ -0,0 +1,105 @@
+#!/usr/bin/env python
+
+import os
+import sys
+import glob
+import hashlib
+sys.path.insert(0, os.pardir)
+from testing_harness import PyAPITestHarness
+import openmc
+
+
+class TallyArithmeticTestHarness(PyAPITestHarness):
+    def _build_inputs(self):
+
+        # The summary.h5 file needs to be created to read in the tallies
+        self._input_set.settings.output = {'summary': True}
+
+        # Initialize the tallies file
+        tallies_file = openmc.Tallies()
+
+        # Initialize the nuclides
+        u235 = openmc.Nuclide('U-235')
+        u238 = openmc.Nuclide('U-238')
+        pu239 = openmc.Nuclide('Pu-239')
+
+        # Initialize Mesh
+        mesh = openmc.Mesh(mesh_id=1)
+        mesh.type = 'regular'
+        mesh.dimension = [2, 2, 2]
+        mesh.lower_left = [-160.0, -160.0, -183.0]
+        mesh.upper_right = [160.0, 160.0, 183.0]
+
+        # Initialize the filters
+        energy_filter = openmc.Filter(type='energy', bins=(0.0, 0.253e-6,
+                                                           1.0e-3, 1.0, 20.0))
+        material_filter  = openmc.Filter(type='material', bins=(1, 3))
+        distrib_filter   = openmc.Filter(type='distribcell', bins=(60))
+        mesh_filter      = openmc.Filter(type='mesh')
+        mesh_filter.mesh = mesh
+
+        # Initialized the tallies
+        tally = openmc.Tally(name='tally 1')
+        tally.filters = [material_filter, energy_filter, distrib_filter]
+        tally.scores = ['nu-fission', 'total']
+        tally.nuclides = [u235, pu239]
+        tallies_file.append(tally)
+
+        tally = openmc.Tally(name='tally 2')
+        tally.filters = [energy_filter, mesh_filter]
+        tally.scores = ['total', 'fission']
+        tally.nuclides = [u238, u235]
+        tallies_file.append(tally)
+
+        # Export tallies to file
+        self._input_set.tallies = tallies_file
+        super(TallyArithmeticTestHarness, self)._build_inputs()
+
+    def _get_results(self, hash_output=False):
+        """Digest info in the statepoint and return as a string."""
+
+        # Read the statepoint file.
+        statepoint = glob.glob(os.path.join(os.getcwd(), self._sp_name))[0]
+        sp = openmc.StatePoint(statepoint)
+
+        # Load the tallies
+        tally_1 = sp.get_tally(name='tally 1')
+        tally_2 = sp.get_tally(name='tally 2')
+
+        # Perform all the tally arithmetic operations and output results
+        outstr = ''
+        tally_3 = tally_1 * tally_2
+        outstr += str(tally_3.mean)
+
+        tally_3 = tally_1.hybrid_product(tally_2, '*', 'entrywise', 'tensor',
+                                         'tensor')
+        outstr += str(tally_3.mean)
+
+        tally_3 = tally_1.hybrid_product(tally_2, '*', 'entrywise', 'entrywise',
+                                         'tensor')
+        outstr += str(tally_3.mean)
+
+        tally_3 = tally_1.hybrid_product(tally_2, '*', 'entrywise', 'tensor',
+                                         'entrywise')
+        outstr += str(tally_3.mean)
+
+        tally_3 = tally_1.hybrid_product(tally_2, '*', 'entrywise', 'entrywise',
+                                         'entrywise')
+        outstr += str(tally_3.mean)
+
+        # Hash the results if necessary
+        if hash_output:
+            sha512 = hashlib.sha512()
+            sha512.update(outstr.encode('utf-8'))
+            outstr = sha512.hexdigest()
+
+        return outstr
+
+    def _cleanup(self):
+        super(TallyArithmeticTestHarness, self)._cleanup()
+        f = os.path.join(os.getcwd(), 'tallies.xml')
+        if os.path.exists(f): os.remove(f)
+
+if __name__ == '__main__':
+    harness = TallyArithmeticTestHarness('statepoint.10.h5', True)
+    harness.main()
diff --git a/tests/test_tally_assumesep/results_true.dat b/tests/test_tally_assumesep/results_true.dat
index 4835227f24..7262a88a02 100644
--- a/tests/test_tally_assumesep/results_true.dat
+++ b/tests/test_tally_assumesep/results_true.dat
@@ -1,11 +1,11 @@
 k-combined:
-1.005983E+00 2.248579E-02
+9.581522E-01 4.261830E-02
 tally 1:
-1.423676E+01
-4.330937E+01
+1.529084E+01
+4.769011E+01
 tally 2:
-2.914798E+00
-1.831649E+00
+3.198905E+00
+2.114129E+00
 tally 3:
-4.088282E+01
-3.662539E+02
+4.510603E+01
+4.183089E+02
diff --git a/tests/test_tally_nuclides/results_true.dat b/tests/test_tally_nuclides/results_true.dat
index b8e903049b..36250aba74 100644
--- a/tests/test_tally_nuclides/results_true.dat
+++ b/tests/test_tally_nuclides/results_true.dat
@@ -1,28 +1,28 @@
 k-combined:
-9.851180E-01 1.587642E-02
+9.752414E-01 4.425137E-02
 tally 1:
-7.516940E+00
-1.149356E+01
-1.700884E+00
-5.835345E-01
-1.635327E+00
-5.385674E-01
-5.816056E+00
-6.901370E+00
-7.516940E+00
-1.149356E+01
-1.700884E+00
-5.835345E-01
-1.635327E+00
-5.385674E-01
-5.816056E+00
-6.901370E+00
+6.903183E+00
+9.661095E+00
+1.569337E+00
+4.971849E-01
+1.521894E+00
+4.673221E-01
+5.333846E+00
+5.778631E+00
+6.903183E+00
+9.661095E+00
+1.569337E+00
+4.971849E-01
+1.521894E+00
+4.673221E-01
+5.333846E+00
+5.778631E+00
 tally 2:
-7.516940E+00
-1.149356E+01
-1.700884E+00
-5.835345E-01
-1.635327E+00
-5.385674E-01
-5.816056E+00
-6.901370E+00
+6.903183E+00
+9.661095E+00
+1.569337E+00
+4.971849E-01
+1.521894E+00
+4.673221E-01
+5.333846E+00
+5.778631E+00
diff --git a/tests/test_tally_slice_merge/inputs_true.dat b/tests/test_tally_slice_merge/inputs_true.dat
new file mode 100644
index 0000000000..771a1de8e8
--- /dev/null
+++ b/tests/test_tally_slice_merge/inputs_true.dat
@@ -0,0 +1 @@
+8e54df241233bf8d5424afa0a22cc23c614a3541e5d7cc64036b5284edd28fe2353905ffdfebb446a4dd0202dda6a7da6d0110af00b4ca79117ec1dbe0584ba7
\ No newline at end of file
diff --git a/tests/test_tally_slice_merge/results_true.dat b/tests/test_tally_slice_merge/results_true.dat
new file mode 100644
index 0000000000..f986a91def
--- /dev/null
+++ b/tests/test_tally_slice_merge/results_true.dat
@@ -0,0 +1,67 @@
+   cell  energy low [MeV]  energy high [MeV] nuclide    score     mean  std. dev.
+0    21          0.00e+00           6.25e-07   U-235  fission 1.08e-01   7.94e-03   cell  energy low [MeV]  energy high [MeV] nuclide       score     mean  std. dev.
+0    21          0.00e+00           6.25e-07   U-235  nu-fission 2.64e-01   1.94e-02   cell  energy low [MeV]  energy high [MeV] nuclide    score     mean  std. dev.
+0    21          0.00e+00           6.25e-07   U-238  fission 1.51e-07   1.00e-08   cell  energy low [MeV]  energy high [MeV] nuclide       score     mean  std. dev.
+0    21          0.00e+00           6.25e-07   U-238  nu-fission 3.76e-07   2.50e-08   cell  energy low [MeV]  energy high [MeV] nuclide    score     mean  std. dev.
+0    21          6.25e-07           2.00e+01   U-235  fission 3.12e-02   2.56e-03   cell  energy low [MeV]  energy high [MeV] nuclide       score     mean  std. dev.
+0    21          6.25e-07           2.00e+01   U-235  nu-fission 7.65e-02   6.24e-03   cell  energy low [MeV]  energy high [MeV] nuclide    score     mean  std. dev.
+0    21          6.25e-07           2.00e+01   U-238  fission 2.00e-02   1.30e-03   cell  energy low [MeV]  energy high [MeV] nuclide       score     mean  std. dev.
+0    21          6.25e-07           2.00e+01   U-238  nu-fission 5.56e-02   3.78e-03   cell  energy low [MeV]  energy high [MeV] nuclide    score     mean  std. dev.
+0    27          0.00e+00           6.25e-07   U-235  fission 4.43e-02   7.21e-03   cell  energy low [MeV]  energy high [MeV] nuclide       score     mean  std. dev.
+0    27          0.00e+00           6.25e-07   U-235  nu-fission 1.08e-01   1.76e-02   cell  energy low [MeV]  energy high [MeV] nuclide    score     mean  std. dev.
+0    27          0.00e+00           6.25e-07   U-238  fission 6.14e-08   9.64e-09   cell  energy low [MeV]  energy high [MeV] nuclide       score     mean  std. dev.
+0    27          0.00e+00           6.25e-07   U-238  nu-fission 1.53e-07   2.40e-08   cell  energy low [MeV]  energy high [MeV] nuclide    score     mean  std. dev.
+0    27          6.25e-07           2.00e+01   U-235  fission 1.39e-02   1.06e-03   cell  energy low [MeV]  energy high [MeV] nuclide       score     mean  std. dev.
+0    27          6.25e-07           2.00e+01   U-235  nu-fission 3.40e-02   2.61e-03   cell  energy low [MeV]  energy high [MeV] nuclide    score     mean  std. dev.
+0    27          6.25e-07           2.00e+01   U-238  fission 9.72e-03   1.21e-03   cell  energy low [MeV]  energy high [MeV] nuclide       score     mean  std. dev.
+0    27          6.25e-07           2.00e+01   U-238  nu-fission 2.71e-02   3.80e-03    cell  energy low [MeV]  energy high [MeV] nuclide       score     mean  std. dev.
+0     21          0.00e+00           6.25e-07   U-235     fission 1.08e-01   7.94e-03
+1     21          0.00e+00           6.25e-07   U-235  nu-fission 2.64e-01   1.94e-02
+2     21          0.00e+00           6.25e-07   U-238     fission 1.51e-07   1.00e-08
+3     21          0.00e+00           6.25e-07   U-238  nu-fission 3.76e-07   2.50e-08
+4     21          6.25e-07           2.00e+01   U-235     fission 3.12e-02   2.56e-03
+5     21          6.25e-07           2.00e+01   U-235  nu-fission 7.65e-02   6.24e-03
+6     21          6.25e-07           2.00e+01   U-238     fission 2.00e-02   1.30e-03
+7     21          6.25e-07           2.00e+01   U-238  nu-fission 5.56e-02   3.78e-03
+8     27          0.00e+00           6.25e-07   U-235     fission 4.43e-02   7.21e-03
+9     27          0.00e+00           6.25e-07   U-235  nu-fission 1.08e-01   1.76e-02
+10    27          0.00e+00           6.25e-07   U-238     fission 6.14e-08   9.64e-09
+11    27          0.00e+00           6.25e-07   U-238  nu-fission 1.53e-07   2.40e-08
+12    27          6.25e-07           2.00e+01   U-235     fission 1.39e-02   1.06e-03
+13    27          6.25e-07           2.00e+01   U-235  nu-fission 3.40e-02   2.61e-03
+14    27          6.25e-07           2.00e+01   U-238     fission 9.72e-03   1.21e-03
+15    27          6.25e-07           2.00e+01   U-238  nu-fission 2.71e-02   3.80e-03
+         sum(distribcell)  energy low [MeV]  energy high [MeV] nuclide       score     mean  std. dev.
+0   (0, 100, 2000, 30000)          0.00e+00           6.25e-07   U-235     fission 0.00e+00   0.00e+00
+1   (0, 100, 2000, 30000)          0.00e+00           6.25e-07   U-235  nu-fission 0.00e+00   0.00e+00
+2   (0, 100, 2000, 30000)          0.00e+00           6.25e-07   U-238     fission 0.00e+00   0.00e+00
+3   (0, 100, 2000, 30000)          0.00e+00           6.25e-07   U-238  nu-fission 0.00e+00   0.00e+00
+4   (0, 100, 2000, 30000)          6.25e-07           2.00e+01   U-235     fission 0.00e+00   0.00e+00
+5   (0, 100, 2000, 30000)          6.25e-07           2.00e+01   U-235  nu-fission 0.00e+00   0.00e+00
+6   (0, 100, 2000, 30000)          6.25e-07           2.00e+01   U-238     fission 0.00e+00   0.00e+00
+7   (0, 100, 2000, 30000)          6.25e-07           2.00e+01   U-238  nu-fission 0.00e+00   0.00e+00
+8      (500, 5000, 50000)          0.00e+00           6.25e-07   U-235     fission 0.00e+00   0.00e+00
+9      (500, 5000, 50000)          0.00e+00           6.25e-07   U-235  nu-fission 0.00e+00   0.00e+00
+10     (500, 5000, 50000)          0.00e+00           6.25e-07   U-238     fission 0.00e+00   0.00e+00
+11     (500, 5000, 50000)          0.00e+00           6.25e-07   U-238  nu-fission 0.00e+00   0.00e+00
+12     (500, 5000, 50000)          6.25e-07           2.00e+01   U-235     fission 0.00e+00   0.00e+00
+13     (500, 5000, 50000)          6.25e-07           2.00e+01   U-235  nu-fission 0.00e+00   0.00e+00
+14     (500, 5000, 50000)          6.25e-07           2.00e+01   U-238     fission 0.00e+00   0.00e+00
+15     (500, 5000, 50000)          6.25e-07           2.00e+01   U-238  nu-fission 0.00e+00   0.00e+00
+                 sum(mesh)  energy low [MeV]  energy high [MeV] nuclide       score     mean  std. dev.
+0   ((1, 1, 1), (1, 2, 1))          0.00e+00           6.25e-07   U-235     fission 9.18e-03   1.62e-03
+1   ((1, 1, 1), (1, 2, 1))          0.00e+00           6.25e-07   U-235  nu-fission 2.24e-02   3.94e-03
+2   ((1, 1, 1), (1, 2, 1))          0.00e+00           6.25e-07   U-238     fission 1.31e-08   2.08e-09
+3   ((1, 1, 1), (1, 2, 1))          0.00e+00           6.25e-07   U-238  nu-fission 3.26e-08   5.19e-09
+4   ((1, 1, 1), (1, 2, 1))          6.25e-07           2.00e+01   U-235     fission 8.40e-04   2.13e-04
+5   ((1, 1, 1), (1, 2, 1))          6.25e-07           2.00e+01   U-235  nu-fission 2.06e-03   5.17e-04
+6   ((1, 1, 1), (1, 2, 1))          6.25e-07           2.00e+01   U-238     fission 7.05e-04   3.42e-04
+7   ((1, 1, 1), (1, 2, 1))          6.25e-07           2.00e+01   U-238  nu-fission 1.99e-03   1.01e-03
+8   ((2, 1, 1), (2, 2, 1))          0.00e+00           6.25e-07   U-235     fission 8.77e-03   1.30e-03
+9   ((2, 1, 1), (2, 2, 1))          0.00e+00           6.25e-07   U-235  nu-fission 2.14e-02   3.18e-03
+10  ((2, 1, 1), (2, 2, 1))          0.00e+00           6.25e-07   U-238     fission 1.24e-08   1.74e-09
+11  ((2, 1, 1), (2, 2, 1))          0.00e+00           6.25e-07   U-238  nu-fission 3.08e-08   4.33e-09
+12  ((2, 1, 1), (2, 2, 1))          6.25e-07           2.00e+01   U-235     fission 2.30e-03   6.20e-04
+13  ((2, 1, 1), (2, 2, 1))          6.25e-07           2.00e+01   U-235  nu-fission 5.63e-03   1.52e-03
+14  ((2, 1, 1), (2, 2, 1))          6.25e-07           2.00e+01   U-238     fission 1.45e-03   7.19e-04
+15  ((2, 1, 1), (2, 2, 1))          6.25e-07           2.00e+01   U-238  nu-fission 3.97e-03   1.98e-03
diff --git a/tests/test_tally_slice_merge/test_tally_slice_merge.py b/tests/test_tally_slice_merge/test_tally_slice_merge.py
new file mode 100644
index 0000000000..78ea4fe9d5
--- /dev/null
+++ b/tests/test_tally_slice_merge/test_tally_slice_merge.py
@@ -0,0 +1,190 @@
+#!/usr/bin/env python
+
+import os
+import sys
+import glob
+import hashlib
+import itertools
+sys.path.insert(0, os.pardir)
+from testing_harness import PyAPITestHarness
+import openmc
+
+
+class TallySliceMergeTestHarness(PyAPITestHarness):
+    def _build_inputs(self):
+
+        # The summary.h5 file needs to be created to read in the tallies
+        self._input_set.settings.output = {'summary': True}
+
+        # Initialize the tallies file
+        tallies_file = openmc.Tallies()
+
+        # Define nuclides and scores to add to both tallies
+        self.nuclides = ['U-235', 'U-238']
+        self.scores = ['fission', 'nu-fission']
+
+        # Define filters for energy and spatial domain
+
+        low_energy = openmc.Filter(type='energy', bins=[0., 0.625e-6])
+        high_energy = openmc.Filter(type='energy', bins=[0.625e-6, 20.])
+        merged_energies = low_energy.merge(high_energy)
+
+        cell_21 = openmc.Filter(type='cell', bins=[21])
+        cell_27 = openmc.Filter(type='cell', bins=[27])
+        distribcell_filter = openmc.Filter(type='distribcell', bins=[21])
+
+        mesh = openmc.Mesh(name='mesh')
+        mesh.type = 'regular'
+        mesh.dimension = [2, 2]
+        mesh.lower_left = [-50., -50.]
+        mesh.upper_right = [+50., +50.]
+        mesh_filter = openmc.Filter(type='mesh', bins=[mesh.id])
+        mesh_filter.mesh = mesh
+
+        self.cell_filters = [cell_21, cell_27]
+        self.energy_filters = [low_energy, high_energy]
+
+        # Initialize cell tallies with filters, nuclides and scores
+        tallies = []
+        for energy_filter in self.energy_filters:
+            for cell_filter in self.cell_filters:
+                for nuclide in self.nuclides:
+                    for score in self.scores:
+                        tally = openmc.Tally()
+                        tally.estimator = 'tracklength'
+                        tally.add_score(score)
+                        tally.add_nuclide(nuclide)
+                        tally.add_filter(cell_filter)
+                        tally.add_filter(energy_filter)
+                        tallies.append(tally)
+
+        # Merge all cell tallies together
+        while len(tallies) != 1:
+            halfway = int(len(tallies) / 2)
+            zip_split = zip(tallies[:halfway], tallies[halfway:])
+            tallies = list(map(lambda xy: xy[0].merge(xy[1]), zip_split))
+
+        # Specify a name for the tally
+        tallies[0].name = 'cell tally'
+
+        # Initialize a distribcell tally
+        distribcell_tally = openmc.Tally(name='distribcell tally')
+        distribcell_tally.estimator = 'tracklength'
+        distribcell_tally.add_filter(distribcell_filter)
+        distribcell_tally.add_filter(merged_energies)
+        for score in self.scores:
+            distribcell_tally.add_score(score)
+        for nuclide in self.nuclides:
+            distribcell_tally.add_nuclide(nuclide)
+
+        mesh_tally = openmc.Tally(name='mesh tally')
+        mesh_tally.estimator = 'tracklength'
+        mesh_tally.filters = [mesh_filter, merged_energies]
+        mesh_tally.scores = self.scores
+        mesh_tally.nuclides = self.nuclides
+
+        # Add tallies to a Tallies object
+        tallies_file = openmc.Tallies((tallies[0], distribcell_tally,
+                                       mesh_tally))
+
+        # Export tallies to file
+        self._input_set.tallies = tallies_file
+        super(TallySliceMergeTestHarness, self)._build_inputs()
+
+    def _get_results(self, hash_output=False):
+        """Digest info in the statepoint and return as a string."""
+
+        # Read the statepoint file.
+        statepoint = glob.glob(os.path.join(os.getcwd(), self._sp_name))[0]
+        sp = openmc.StatePoint(statepoint)
+
+        # Extract the cell tally
+        tallies = [sp.get_tally(name='cell tally')]
+
+        # Slice the tallies by cell filter bins
+        cell_filter_prod = itertools.product(tallies, self.cell_filters)
+        tallies = map(lambda tf: tf[0].get_slice(filters=[tf[1].type],
+                      filter_bins=[tf[1].get_bin(0)]), cell_filter_prod)
+
+        # Slice the tallies by energy filter bins
+        energy_filter_prod = itertools.product(tallies, self.energy_filters)
+        tallies = map(lambda tf: tf[0].get_slice(filters=[tf[1].type],
+                      filter_bins=[(tf[1].get_bin(0),)]), energy_filter_prod)
+
+        # Slice the tallies by nuclide
+        nuclide_prod = itertools.product(tallies, self.nuclides)
+        tallies = map(lambda tn: tn[0].get_slice(nuclides=[tn[1]]), nuclide_prod)
+
+        # Slice the tallies by score
+        score_prod = itertools.product(tallies, self.scores)
+        tallies = map(lambda ts: ts[0].get_slice(scores=[ts[1]]), score_prod)
+        tallies = list(tallies)
+
+        # Initialize an output string
+        outstr = ''
+
+        # Append sliced Tally Pandas DataFrames to output string
+        for tally in tallies:
+            df = tally.get_pandas_dataframe()
+            outstr += df.to_string()
+
+        # Merge all tallies together
+        while len(tallies) != 1:
+            halfway = int(len(tallies) / 2)
+            zip_split = zip(tallies[:halfway], tallies[halfway:])
+            tallies = list(map(lambda xy: xy[0].merge(xy[1]), zip_split))
+
+        # Append merged Tally Pandas DataFrame to output string
+        df = tallies[0].get_pandas_dataframe()
+        outstr += df.to_string() + '\n'
+
+        # Extract the distribcell tally
+        distribcell_tally = sp.get_tally(name='distribcell tally')
+
+        # Sum up a few subdomains from the distribcell tally
+        sum1 = distribcell_tally.summation(filter_type='distribcell',
+                                           filter_bins=[0,100,2000,30000])
+        # Sum up a few subdomains from the distribcell tally
+        sum2 = distribcell_tally.summation(filter_type='distribcell',
+                                           filter_bins=[500,5000,50000])
+
+        # Merge the distribcell tally slices
+        merge_tally = sum1.merge(sum2)
+
+        # Append merged Tally Pandas DataFrame to output string
+        df = merge_tally.get_pandas_dataframe()
+        outstr += df.to_string() + '\n'
+
+        # Extract the mesh tally
+        mesh_tally = sp.get_tally(name='mesh tally')
+
+        # Sum up a few subdomains from the mesh tally
+        sum1 = mesh_tally.summation(filter_type='mesh',
+                                    filter_bins=[(1,1,1), (1,2,1)])
+        # Sum up a few subdomains from the mesh tally
+        sum2 = mesh_tally.summation(filter_type='mesh',
+                                    filter_bins=[(2,1,1), (2,2,1)])
+
+        # Merge the mesh tally slices
+        merge_tally = sum1.merge(sum2)
+
+        # Append merged Tally Pandas DataFrame to output string
+        df = merge_tally.get_pandas_dataframe()
+        outstr += df.to_string() + '\n'
+
+        # Hash the results if necessary
+        if hash_output:
+            sha512 = hashlib.sha512()
+            sha512.update(outstr.encode('utf-8'))
+            outstr = sha512.hexdigest()
+
+        return outstr
+
+    def _cleanup(self):
+        super(TallySliceMergeTestHarness, self)._cleanup()
+        f = os.path.join(os.getcwd(), 'tallies.xml')
+        if os.path.exists(f): os.remove(f)
+
+if __name__ == '__main__':
+    harness = TallySliceMergeTestHarness('statepoint.10.h5', True)
+    harness.main()
diff --git a/tests/test_trace/results_true.dat b/tests/test_trace/results_true.dat
index 5263a6b7fd..7b2fbf37f5 100644
--- a/tests/test_trace/results_true.dat
+++ b/tests/test_trace/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-3.021779E-01 3.813358E-03
+2.943619E-01 3.309635E-03
diff --git a/tests/test_translation/results_true.dat b/tests/test_translation/results_true.dat
index 5263a6b7fd..7b2fbf37f5 100644
--- a/tests/test_translation/results_true.dat
+++ b/tests/test_translation/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-3.021779E-01 3.813358E-03
+2.943619E-01 3.309635E-03
diff --git a/tests/test_trigger_batch_interval/results_true.dat b/tests/test_trigger_batch_interval/results_true.dat
index c901e1e54d..af6eea6238 100644
--- a/tests/test_trigger_batch_interval/results_true.dat
+++ b/tests/test_trigger_batch_interval/results_true.dat
@@ -1,28 +1,28 @@
 k-combined:
-9.875001E-01 3.961945E-03
+9.722624E-01 1.010453E-02
 tally 1:
-2.128147E+01
-3.021699E+01
-4.842434E+00
-1.563989E+00
-4.695086E+00
-1.470132E+00
-1.643904E+01
-1.803258E+01
-2.128147E+01
-3.021699E+01
-4.842434E+00
-1.563989E+00
-4.695086E+00
-1.470132E+00
-1.643904E+01
-1.803258E+01
+1.392936E+01
+1.941888E+01
+3.159556E+00
+9.989777E-01
+3.063616E+00
+9.391667E-01
+1.076980E+01
+1.160931E+01
+1.392936E+01
+1.941888E+01
+3.159556E+00
+9.989777E-01
+3.063616E+00
+9.391667E-01
+1.076980E+01
+1.160931E+01
 tally 2:
-2.128147E+01
-3.021699E+01
-4.842434E+00
-1.563989E+00
-4.695086E+00
-1.470132E+00
-1.643904E+01
-1.803258E+01
+1.392936E+01
+1.941888E+01
+3.159556E+00
+9.989777E-01
+3.063616E+00
+9.391667E-01
+1.076980E+01
+1.160931E+01
diff --git a/tests/test_trigger_batch_interval/test_trigger_batch_interval.py b/tests/test_trigger_batch_interval/test_trigger_batch_interval.py
index 59b900e503..a0b2119dea 100644
--- a/tests/test_trigger_batch_interval/test_trigger_batch_interval.py
+++ b/tests/test_trigger_batch_interval/test_trigger_batch_interval.py
@@ -7,5 +7,5 @@ from testing_harness import TestHarness
 
 
 if __name__ == '__main__':
-    harness = TestHarness('statepoint.20.*', True)
+    harness = TestHarness('statepoint.15.*', True)
     harness.main()
diff --git a/tests/test_trigger_no_batch_interval/results_true.dat b/tests/test_trigger_no_batch_interval/results_true.dat
index d06a91646c..af6eea6238 100644
--- a/tests/test_trigger_no_batch_interval/results_true.dat
+++ b/tests/test_trigger_no_batch_interval/results_true.dat
@@ -1,28 +1,28 @@
 k-combined:
-9.853099E-01 3.825057E-03
+9.722624E-01 1.010453E-02
 tally 1:
-2.409492E+01
-3.417475E+01
-5.477076E+00
-1.765385E+00
-5.309347E+00
-1.658803E+00
-1.861784E+01
-2.040621E+01
-2.409492E+01
-3.417475E+01
-5.477076E+00
-1.765385E+00
-5.309347E+00
-1.658803E+00
-1.861784E+01
-2.040621E+01
+1.392936E+01
+1.941888E+01
+3.159556E+00
+9.989777E-01
+3.063616E+00
+9.391667E-01
+1.076980E+01
+1.160931E+01
+1.392936E+01
+1.941888E+01
+3.159556E+00
+9.989777E-01
+3.063616E+00
+9.391667E-01
+1.076980E+01
+1.160931E+01
 tally 2:
-2.409492E+01
-3.417475E+01
-5.477076E+00
-1.765385E+00
-5.309347E+00
-1.658803E+00
-1.861784E+01
-2.040621E+01
+1.392936E+01
+1.941888E+01
+3.159556E+00
+9.989777E-01
+3.063616E+00
+9.391667E-01
+1.076980E+01
+1.160931E+01
diff --git a/tests/test_trigger_no_batch_interval/test_trigger_no_batch_interval.py b/tests/test_trigger_no_batch_interval/test_trigger_no_batch_interval.py
index f9cb68d627..a0b2119dea 100644
--- a/tests/test_trigger_no_batch_interval/test_trigger_no_batch_interval.py
+++ b/tests/test_trigger_no_batch_interval/test_trigger_no_batch_interval.py
@@ -7,5 +7,5 @@ from testing_harness import TestHarness
 
 
 if __name__ == '__main__':
-    harness = TestHarness('statepoint.22.*', True)
+    harness = TestHarness('statepoint.15.*', True)
     harness.main()
diff --git a/tests/test_trigger_no_status/results_true.dat b/tests/test_trigger_no_status/results_true.dat
index 0b541099b9..c7f1b407a9 100644
--- a/tests/test_trigger_no_status/results_true.dat
+++ b/tests/test_trigger_no_status/results_true.dat
@@ -1,28 +1,28 @@
 k-combined:
-9.906276E-01 1.800527E-03
+9.733783E-01 1.678094E-02
 tally 1:
-7.043320E+00
-9.922203E+00
-1.610208E+00
-5.185662E-01
-1.564118E+00
-4.893096E-01
-5.433111E+00
-5.904259E+00
-7.043320E+00
-9.922203E+00
-1.610208E+00
-5.185662E-01
-1.564118E+00
-4.893096E-01
-5.433111E+00
-5.904259E+00
+6.901811E+00
+9.536643E+00
+1.572259E+00
+4.947922E-01
+1.527087E+00
+4.667459E-01
+5.329553E+00
+5.686973E+00
+6.901811E+00
+9.536643E+00
+1.572259E+00
+4.947922E-01
+1.527087E+00
+4.667459E-01
+5.329553E+00
+5.686973E+00
 tally 2:
-7.043320E+00
-9.922203E+00
-1.610208E+00
-5.185662E-01
-1.564118E+00
-4.893096E-01
-5.433111E+00
-5.904259E+00
+6.901811E+00
+9.536643E+00
+1.572259E+00
+4.947922E-01
+1.527087E+00
+4.667459E-01
+5.329553E+00
+5.686973E+00
diff --git a/tests/test_trigger_tallies/results_true.dat b/tests/test_trigger_tallies/results_true.dat
index 0519260ddc..af6eea6238 100644
--- a/tests/test_trigger_tallies/results_true.dat
+++ b/tests/test_trigger_tallies/results_true.dat
@@ -1,28 +1,28 @@
 k-combined:
-9.875396E-01 4.095985E-03
+9.722624E-01 1.010453E-02
 tally 1:
-1.415943E+01
-2.006888E+01
-3.225529E+00
-1.040975E+00
-3.128858E+00
-9.794019E-01
-1.093390E+01
-1.196901E+01
-1.415943E+01
-2.006888E+01
-3.225529E+00
-1.040975E+00
-3.128858E+00
-9.794019E-01
-1.093390E+01
-1.196901E+01
+1.392936E+01
+1.941888E+01
+3.159556E+00
+9.989777E-01
+3.063616E+00
+9.391667E-01
+1.076980E+01
+1.160931E+01
+1.392936E+01
+1.941888E+01
+3.159556E+00
+9.989777E-01
+3.063616E+00
+9.391667E-01
+1.076980E+01
+1.160931E+01
 tally 2:
-1.415943E+01
-2.006888E+01
-3.225529E+00
-1.040975E+00
-3.128858E+00
-9.794019E-01
-1.093390E+01
-1.196901E+01
+1.392936E+01
+1.941888E+01
+3.159556E+00
+9.989777E-01
+3.063616E+00
+9.391667E-01
+1.076980E+01
+1.160931E+01
diff --git a/tests/test_triso/inputs_true.dat b/tests/test_triso/inputs_true.dat
new file mode 100644
index 0000000000..3e54e5e6fe
--- /dev/null
+++ b/tests/test_triso/inputs_true.dat
@@ -0,0 +1 @@
+2dcfd1a17cba671874e60192a7355deb57e2e51467a474fd168c8b51e454a977edb34df07ae11625c0a43906112152c75113e442a9a8f240a4c9d1a11ee4771d
\ No newline at end of file
diff --git a/tests/test_triso/plots.xml b/tests/test_triso/plots.xml
new file mode 100644
index 0000000000..60ae7d9d8f
--- /dev/null
+++ b/tests/test_triso/plots.xml
@@ -0,0 +1,6 @@
+<?xml version="1.0"?>
+<plots>
+  <plot id="1" type="slice" basis="xy" color="material"
+    origin="0.0 0.0 0.0" width="1.0 1.0" pixels="400 400">
+  </plot>
+</plots>
diff --git a/tests/test_triso/results_true.dat b/tests/test_triso/results_true.dat
new file mode 100644
index 0000000000..ea7da21edf
--- /dev/null
+++ b/tests/test_triso/results_true.dat
@@ -0,0 +1,2 @@
+k-combined:
+1.662675E+00 1.475968E-02
diff --git a/tests/test_triso/test_triso.py b/tests/test_triso/test_triso.py
new file mode 100644
index 0000000000..d1ac4e5cdc
--- /dev/null
+++ b/tests/test_triso/test_triso.py
@@ -0,0 +1,117 @@
+#!/usr/bin/env python
+
+import os
+import sys
+import glob
+import random
+from math import sqrt
+
+import numpy as np
+
+sys.path.insert(0, os.pardir)
+from testing_harness import PyAPITestHarness
+import openmc
+import openmc.model
+
+
+class TRISOTestHarness(PyAPITestHarness):
+    def _build_inputs(self):
+        # Define TRISO matrials
+        fuel = openmc.Material()
+        fuel.set_density('g/cm3', 10.5)
+        fuel.add_nuclide('U-235', 0.14154)
+        fuel.add_nuclide('U-238', 0.85846)
+        fuel.add_nuclide('C-Nat', 0.5)
+        fuel.add_nuclide('O-16', 1.5)
+
+        porous_carbon = openmc.Material()
+        porous_carbon.set_density('g/cm3', 1.0)
+        porous_carbon.add_nuclide('C-Nat', 1.0)
+        porous_carbon.add_s_alpha_beta('Graph', '71t')
+
+        ipyc = openmc.Material()
+        ipyc.set_density('g/cm3', 1.90)
+        ipyc.add_nuclide('C-Nat', 1.0)
+        ipyc.add_s_alpha_beta('Graph', '71t')
+
+        sic = openmc.Material()
+        sic.set_density('g/cm3', 3.20)
+        sic.add_element('Si', 1.0)
+        sic.add_nuclide('C-Nat', 1.0)
+
+        opyc = openmc.Material()
+        opyc.set_density('g/cm3', 1.87)
+        opyc.add_nuclide('C-Nat', 1.0)
+        opyc.add_s_alpha_beta('Graph', '71t')
+
+        graphite = openmc.Material()
+        graphite.set_density('g/cm3', 1.1995)
+        graphite.add_nuclide('C-Nat', 1.0)
+        graphite.add_s_alpha_beta('Graph', '71t')
+
+        # Create TRISO particles
+        spheres = [openmc.Sphere(R=r*1e-4)
+                   for r in [212.5, 312.5, 347.5, 382.5]]
+        c1 = openmc.Cell(fill=fuel, region=-spheres[0])
+        c2 = openmc.Cell(fill=porous_carbon, region=+spheres[0] & -spheres[1])
+        c3 = openmc.Cell(fill=ipyc, region=+spheres[1] & -spheres[2])
+        c4 = openmc.Cell(fill=sic, region=+spheres[2] & -spheres[3])
+        c5 = openmc.Cell(fill=opyc, region=+spheres[3])
+        inner_univ = openmc.Universe(cells=[c1, c2, c3, c4, c5])
+
+        outer_radius = 422.5*1e-4
+        trisos = []
+        random.seed(1)
+        for i in range(100):
+            # Randomly sample location
+            lim = 0.5 - outer_radius*1.001
+            x = random.uniform(-lim, lim)
+            y = random.uniform(-lim, lim)
+            z = random.uniform(-lim, lim)
+            t = openmc.model.TRISO(outer_radius, inner_univ, (x, y, z))
+
+            # Make sure TRISO doesn't overlap with another
+            for tp in trisos:
+                xp, yp, zp = tp.center
+                distance = sqrt((x - xp)**2 + (y - yp)**2 + (z - zp)**2)
+                if distance <= 2*outer_radius:
+                    break
+            else:
+                trisos.append(t)
+
+        # Define box to contain lattice
+        min_x = openmc.XPlane(x0=-0.5, boundary_type='reflective')
+        max_x = openmc.XPlane(x0=0.5, boundary_type='reflective')
+        min_y = openmc.YPlane(y0=-0.5, boundary_type='reflective')
+        max_y = openmc.YPlane(y0=0.5, boundary_type='reflective')
+        min_z = openmc.ZPlane(z0=-0.5, boundary_type='reflective')
+        max_z = openmc.ZPlane(z0=0.5, boundary_type='reflective')
+        box = openmc.Cell(region=+min_x & -max_x & +min_y & -max_y & +min_z & -max_z)
+
+        # Create lattice
+        ll, ur = box.region.bounding_box
+        shape = (3, 3, 3)
+        pitch = (ur - ll) / shape
+        lattice = openmc.model.create_triso_lattice(
+            trisos, ll, pitch, shape, graphite)
+        box.fill = lattice
+
+        root = openmc.Universe(0, cells=[box])
+        geom = openmc.Geometry(root)
+        geom.export_to_xml()
+
+        settings = openmc.Settings()
+        settings.batches = 5
+        settings.inactive = 0
+        settings.particles = 100
+        settings.source = openmc.Source(space=openmc.stats.Point())
+        settings.export_to_xml()
+
+        mats = openmc.Materials([fuel, porous_carbon, ipyc, sic, opyc, graphite])
+        mats.default_xs = '71c'
+        mats.export_to_xml()
+
+
+if __name__ == '__main__':
+    harness = TRISOTestHarness('statepoint.5.h5')
+    harness.main()
diff --git a/tests/test_uniform_fs/results_true.dat b/tests/test_uniform_fs/results_true.dat
index a29a363b25..d27d63f565 100644
--- a/tests/test_uniform_fs/results_true.dat
+++ b/tests/test_uniform_fs/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-3.546115E-01 2.982307E-03
+3.634132E-01 6.507584E-03
diff --git a/tests/test_union_energy_grids/results_true.dat b/tests/test_union_energy_grids/results_true.dat
index 9556a981bc..0a607592c8 100644
--- a/tests/test_union_energy_grids/results_true.dat
+++ b/tests/test_union_energy_grids/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-3.155788E-01 7.559348E-03
+3.330789E-01 2.216495E-03
diff --git a/tests/test_universe/results_true.dat b/tests/test_universe/results_true.dat
index 5263a6b7fd..7b2fbf37f5 100644
--- a/tests/test_universe/results_true.dat
+++ b/tests/test_universe/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-3.021779E-01 3.813358E-03
+2.943619E-01 3.309635E-03
diff --git a/tests/test_void/results_true.dat b/tests/test_void/results_true.dat
index 4e99b86760..48be2778a4 100644
--- a/tests/test_void/results_true.dat
+++ b/tests/test_void/results_true.dat
@@ -1,2 +1,2 @@
 k-combined:
-1.045350E+00 2.750547E-02
+1.062505E+00 2.674375E-02
diff --git a/tests/testing_harness.py b/tests/testing_harness.py
index ed89f76946..d360184045 100644
--- a/tests/testing_harness.py
+++ b/tests/testing_harness.py
@@ -6,29 +6,33 @@ import hashlib
 from optparse import OptionParser
 import os
 import shutil
-from subprocess import Popen, STDOUT, PIPE, call
 import sys
 
 import numpy as np
 
 sys.path.insert(0, os.path.join(os.pardir, os.pardir))
-from input_set import InputSet
-from openmc.statepoint import StatePoint
-from openmc.executor import Executor
-import openmc.particle_restart as pr
+from input_set import InputSet, MGInputSet
+import openmc
 
 
 class TestHarness(object):
     """General class for running OpenMC regression tests."""
+
     def __init__(self, statepoint_name, tallies_present=False):
         self._sp_name = statepoint_name
         self._tallies = tallies_present
+        self.parser = OptionParser()
+        self.parser.add_option('--exe', dest='exe', default='openmc')
+        self.parser.add_option('--mpi_exec', dest='mpi_exec', default=None)
+        self.parser.add_option('--mpi_np', dest='mpi_np', type=int, default=3)
+        self.parser.add_option('--update', dest='update', action='store_true',
+                               default=False)
         self._opts = None
         self._args = None
 
     def main(self):
         """Accept commandline arguments and either run or update tests."""
-        self._parse_args()
+        (self._opts, self._args) = self.parser.parse_args()
         if self._opts.update:
             self.update_results()
         else:
@@ -56,44 +60,33 @@ class TestHarness(object):
         finally:
             self._cleanup()
 
-    def _parse_args(self):
-        parser = OptionParser()
-        parser.add_option('--exe', dest='exe', default='openmc')
-        parser.add_option('--mpi_exec', dest='mpi_exec', default=None)
-        parser.add_option('--mpi_np', dest='mpi_np', type=int, default=3)
-        parser.add_option('--update', dest='update', action='store_true',
-                          default=False)
-        (self._opts, self._args) = parser.parse_args()
-
     def _run_openmc(self):
-        executor = Executor()
-
         if self._opts.mpi_exec is not None:
-            returncode = executor.run_simulation(mpi_procs=self._opts.mpi_np,
-                                                 openmc_exec=self._opts.exe,
-                                                 mpi_exec=self._opts.mpi_exec)
+            returncode = openmc.run(mpi_procs=self._opts.mpi_np,
+                                    openmc_exec=self._opts.exe,
+                                    mpi_exec=self._opts.mpi_exec)
 
         else:
-            returncode = executor.run_simulation(openmc_exec=self._opts.exe)
+            returncode = openmc.run(openmc_exec=self._opts.exe)
 
         assert returncode == 0, 'OpenMC did not exit successfully.'
 
     def _test_output_created(self):
         """Make sure statepoint.* and tallies.out have been created."""
         statepoint = glob.glob(os.path.join(os.getcwd(), self._sp_name))
-        assert len(statepoint) == 1, 'Either multiple or no statepoint files ' \
-             'exist.'
+        assert len(statepoint) == 1, 'Either multiple or no statepoint files' \
+            ' exist.'
         assert statepoint[0].endswith('h5'), \
-             'Statepoint file is not a HDF5 file.'
+            'Statepoint file is not a HDF5 file.'
         if self._tallies:
             assert os.path.exists(os.path.join(os.getcwd(), 'tallies.out')), \
-                 'Tally output file does not exist.'
+                'Tally output file does not exist.'
 
     def _get_results(self, hash_output=False):
         """Digest info in the statepoint and return as a string."""
         # Read the statepoint file.
         statepoint = glob.glob(os.path.join(os.getcwd(), self._sp_name))[0]
-        sp = StatePoint(statepoint)
+        sp = openmc.StatePoint(statepoint)
 
         # Write out k-combined.
         outstr = 'k-combined:\n'
@@ -105,7 +98,7 @@ class TestHarness(object):
             tally_num = 1
             for tally_ind in sp.tallies:
                 tally = sp.tallies[tally_ind]
-                results = np.zeros((tally.sum.size*2, ))
+                results = np.zeros((tally.sum.size * 2, ))
                 results[0::2] = tally.sum.ravel()
                 results[1::2] = tally.sum_sq.ravel()
                 results = ['{0:12.6E}'.format(x) for x in results]
@@ -140,9 +133,10 @@ class TestHarness(object):
 
     def _cleanup(self):
         """Delete statepoints, tally, and test files."""
-        output = glob.glob(os.path.join(os.getcwd(), 'statepoint.*.*'))
+        output = glob.glob(os.path.join(os.getcwd(), 'statepoint.*.h5'))
         output.append(os.path.join(os.getcwd(), 'tallies.out'))
         output.append(os.path.join(os.getcwd(), 'results_test.dat'))
+        output.append(os.path.join(os.getcwd(), 'summary.h5'))
         for f in output:
             if os.path.exists(f):
                 os.remove(f)
@@ -150,65 +144,23 @@ class TestHarness(object):
 
 class HashedTestHarness(TestHarness):
     """Specialized TestHarness that hashes the results."""
+
     def _get_results(self):
         """Digest info in the statepoint and return as a string."""
-        return TestHarness._get_results(self, True)
-
-
-class PlotTestHarness(TestHarness):
-    """Specialized TestHarness for running OpenMC plotting tests."""
-    def __init__(self, plot_names):
-        self._plot_names = plot_names
-        self._opts = None
-        self._args = None
-
-    def _run_openmc(self):
-        executor = Executor()
-        returncode = executor.plot_geometry(openmc_exec=self._opts.exe)
-        assert returncode == 0, 'OpenMC did not exit successfully.'
-
-    def _test_output_created(self):
-        """Make sure *.ppm has been created."""
-        for fname in self._plot_names:
-            assert os.path.exists(os.path.join(os.getcwd(), fname)), \
-                 'Plot output file does not exist.'
-
-    def _cleanup(self):
-        TestHarness._cleanup(self)
-        output = glob.glob(os.path.join(os.getcwd(), '*.ppm'))
-        for f in output:
-            if os.path.exists(f):
-                os.remove(f)
-
-    def _get_results(self):
-        """Return a string hash of the plot files."""
-        # Find the plot files.
-        plot_files = glob.glob(os.path.join(os.getcwd(), '*.ppm'))
-
-        # Read the plot files.
-        outstr = bytes()
-        for fname in sorted(plot_files):
-            with open(fname, 'rb') as fh:
-                outstr += fh.read()
-
-        # Hash the information and return.
-        sha512 = hashlib.sha512()
-        sha512.update(outstr)
-        outstr = sha512.hexdigest()
-
-        return outstr
+        return super(HashedTestHarness, self)._get_results(True)
 
 
 class CMFDTestHarness(TestHarness):
     """Specialized TestHarness for running OpenMC CMFD tests."""
+
     def _get_results(self):
         """Digest info in the statepoint and return as a string."""
         # Read the statepoint file.
         statepoint = glob.glob(os.path.join(os.getcwd(), self._sp_name))[0]
-        sp = StatePoint(statepoint)
+        sp = openmc.StatePoint(statepoint)
 
         # Write out the eigenvalue and tallies.
-        outstr = TestHarness._get_results(self)
+        outstr = super(CMFDTestHarness, self)._get_results()
 
         # Write out CMFD data.
         outstr += 'cmfd indices\n'
@@ -234,19 +186,36 @@ class CMFDTestHarness(TestHarness):
 
 class ParticleRestartTestHarness(TestHarness):
     """Specialized TestHarness for running OpenMC particle restart tests."""
+
+    def _run_openmc(self):
+        # Set arguments
+        args = {'openmc_exec': self._opts.exe}
+        if self._opts.mpi_exec is not None:
+            args.update({'mpi_procs': self._opts.mpi_np,
+                         'mpi_exec': self._opts.mpi_exec})
+
+        # Initial run
+        returncode = openmc.run(**args)
+        assert returncode == 0, 'OpenMC did not exit successfully.'
+
+        # Run particle restart
+        args.update({'restart_file': self._sp_name})
+        returncode = openmc.run(**args)
+        assert returncode == 0, 'OpenMC did not exit successfully.'
+
     def _test_output_created(self):
         """Make sure the restart file has been created."""
         particle = glob.glob(os.path.join(os.getcwd(), self._sp_name))
         assert len(particle) == 1, 'Either multiple or no particle restart ' \
-             'files exist.'
+            'files exist.'
         assert particle[0].endswith('h5'), \
-             'Particle restart file is not a HDF5 file.'
+            'Particle restart file is not a HDF5 file.'
 
     def _get_results(self):
         """Digest info in the statepoint and return as a string."""
         # Read the particle restart file.
         particle = glob.glob(os.path.join(os.getcwd(), self._sp_name))[0]
-        p = pr.Particle(particle)
+        p = openmc.Particle(particle)
 
         # Write out the properties.
         outstr = ''
@@ -263,19 +232,35 @@ class ParticleRestartTestHarness(TestHarness):
         outstr += 'particle energy:\n'
         outstr += "{0:12.6E}\n".format(p.energy)
         outstr += 'particle xyz:\n'
-        outstr += "{0:12.6E} {1:12.6E} {2:12.6E}\n".format(p.xyz[0],p.xyz[1],
+        outstr += "{0:12.6E} {1:12.6E} {2:12.6E}\n".format(p.xyz[0], p.xyz[1],
                                                            p.xyz[2])
         outstr += 'particle uvw:\n'
-        outstr += "{0:12.6E} {1:12.6E} {2:12.6E}\n".format(p.uvw[0],p.uvw[1],
+        outstr += "{0:12.6E} {1:12.6E} {2:12.6E}\n".format(p.uvw[0], p.uvw[1],
                                                            p.uvw[2])
 
         return outstr
 
 
 class PyAPITestHarness(TestHarness):
-    def __init__(self, statepoint_name, tallies_present=False):
-        TestHarness.__init__(self, statepoint_name, tallies_present)
-        self._input_set = InputSet()
+    def __init__(self, statepoint_name, tallies_present=False, mg=False):
+        super(PyAPITestHarness, self).__init__(statepoint_name,
+                                               tallies_present)
+        self.parser.add_option('--build-inputs', dest='build_only',
+                               action='store_true', default=False)
+        if mg:
+            self._input_set = MGInputSet()
+        else:
+            self._input_set = InputSet()
+
+    def main(self):
+        """Accept commandline arguments and either run or update tests."""
+        (self._opts, self._args) = self.parser.parse_args()
+        if self._opts.build_only:
+            self._build_inputs()
+        elif self._opts.update:
+            self.update_results()
+        else:
+            self.execute_test()
 
     def execute_test(self):
         """Build input XMLs, run OpenMC, and verify correct results."""
@@ -315,7 +300,8 @@ class PyAPITestHarness(TestHarness):
 
     def _get_inputs(self):
         """Return a hash digest of the input XML files."""
-        xmls = ('geometry.xml', 'tallies.xml', 'materials.xml', 'settings.xml')
+        xmls = ('geometry.xml', 'tallies.xml', 'materials.xml', 'settings.xml',
+                'plots.xml')
         xmls = [os.path.join(os.getcwd(), fname) for fname in xmls]
         outstr = '\n'.join([open(fname).read() for fname in xmls
                             if os.path.exists(fname)])
@@ -340,14 +326,15 @@ class PyAPITestHarness(TestHarness):
         compare = filecmp.cmp('inputs_test.dat', 'inputs_true.dat')
         if not compare:
             f = open('inputs_test.dat')
-            for line in f.readlines(): print(line)
+            for line in f.readlines():
+                print(line)
             f.close()
             os.rename('inputs_test.dat', 'inputs_error.dat')
         assert compare, 'Input files are broken.'
 
     def _cleanup(self):
         """Delete XMLs, statepoints, tally, and test files."""
-        TestHarness._cleanup(self)
+        super(PyAPITestHarness, self)._cleanup()
         output = [os.path.join(os.getcwd(), 'materials.xml')]
         output.append(os.path.join(os.getcwd(), 'geometry.xml'))
         output.append(os.path.join(os.getcwd(), 'settings.xml'))