diff --git a/.gitignore b/.gitignore
index 65c7285af1..ffdd58d335 100644
--- a/.gitignore
+++ b/.gitignore
@@ -99,4 +99,4 @@ examples/jupyter/plots
 .tox/
 .python-version
 .coverage
-htmlcov
\ No newline at end of file
+htmlcov
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 0e3c47c0b1..d0928c8bf9 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -5,14 +5,10 @@ project(openmc Fortran C CXX)
 set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib)
 set(CMAKE_LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib)
 set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin)
-set(CMAKE_Fortran_MODULE_DIRECTORY ${CMAKE_BINARY_DIR}/include)
 
 # Set module path
 set(CMAKE_MODULE_PATH ${CMAKE_CURRENT_SOURCE_DIR}/cmake/Modules)
 
-# Make sure Fortran module directory is included when building
-include_directories(${CMAKE_BINARY_DIR}/include)
-
 #===============================================================================
 # Architecture specific definitions
 #===============================================================================
@@ -73,7 +69,7 @@ if(NOT DEFINED HDF5_PREFER_PARALLEL)
   endif()
 endif()
 
-find_package(HDF5 COMPONENTS Fortran_HL)
+find_package(HDF5 COMPONENTS HL)
 if(NOT HDF5_FOUND)
   message(FATAL_ERROR "Could not find HDF5")
 endif()
@@ -436,18 +432,22 @@ set(LIBOPENMC_FORTRAN_SRC
   src/tallies/trigger_header.F90
 )
 set(LIBOPENMC_CXX_SRC
-  src/error.h
-  src/hdf5_interface.h
+  src/initialize.cpp
+  src/finalize.cpp
+  src/hdf5_interface.cpp
+  src/message_passing.cpp
+  src/plot.cpp
   src/random_lcg.cpp
-  src/random_lcg.h
+  src/simulation.cpp
+  src/state_point.cpp
   src/surface.cpp
-  src/surface.h
-  src/xml_interface.h
-  src/pugixml/pugixml.cpp
-  src/pugixml/pugixml.hpp)
+  src/xml_interface.cpp
+  src/pugixml/pugixml.cpp)
 add_library(libopenmc SHARED ${LIBOPENMC_FORTRAN_SRC} ${LIBOPENMC_CXX_SRC})
-set_target_properties(libopenmc PROPERTIES OUTPUT_NAME openmc)
-add_executable(${program} src/main.F90)
+set_target_properties(libopenmc PROPERTIES
+  OUTPUT_NAME openmc
+  PUBLIC_HEADER include/openmc.h)
+add_executable(${program} src/main.cpp)
 
 #===============================================================================
 # Add compiler/linker flags
@@ -456,11 +456,11 @@ add_executable(${program} src/main.F90)
 set_property(TARGET ${program} libopenmc pugixml_fortran
   PROPERTY LINKER_LANGUAGE Fortran)
 
-target_include_directories(libopenmc PUBLIC ${HDF5_INCLUDE_DIRS})
+target_include_directories(libopenmc PUBLIC include ${HDF5_INCLUDE_DIRS})
 
 # The executable and the faddeeva package use only one language.  They can be
 # set via target_compile_options which accepts a list.
-target_compile_options(${program} PUBLIC ${f90flags})
+target_compile_options(${program} PUBLIC ${cxxflags})
 target_compile_options(faddeeva PRIVATE ${cflags})
 
 # The libopenmc library has both F90 and C++ so the compile flags must be set
@@ -501,7 +501,9 @@ add_custom_command(TARGET libopenmc POST_BUILD
 install(TARGETS ${program} libopenmc
   RUNTIME DESTINATION bin
   LIBRARY DESTINATION lib
-  ARCHIVE DESTINATION lib)
+  ARCHIVE DESTINATION lib
+  PUBLIC_HEADER DESTINATION include
+  )
 install(DIRECTORY src/relaxng DESTINATION share/openmc)
 install(FILES man/man1/openmc.1 DESTINATION share/man/man1)
 install(FILES LICENSE DESTINATION "share/doc/${program}" RENAME copyright)
diff --git a/docs/source/capi/index.rst b/docs/source/capi/index.rst
index 0e6a2536c6..85509f6f43 100644
--- a/docs/source/capi/index.rst
+++ b/docs/source/capi/index.rst
@@ -46,10 +46,13 @@ Type Definitions
 Functions
 ---------
 
-.. c:function:: void openmc_calculate_volumes()
+.. c:function:: int openmc_calculate_volumes()
 
    Run a stochastic volume calculation
 
+   :return: Return status (negative if an error occurred)
+   :rtype: int
+
 .. c:function:: int openmc_cell_get_fill(int32_t index, int* type, int32_t** indices, int32_t* n)
 
    Get the fill for a cell
@@ -192,11 +195,14 @@ Functions
    :return: Return status (negative if an error occurred)
    :rtype: int
 
-.. c:function:: void openmc_finalize()
+.. c:function:: int openmc_finalize()
 
    Finalize a simulation
 
-.. c:function:: void openmc_find(double* xyz, int rtype, int32_t* id, int32_t* instance)
+   :return: Return status (negative if an error occurs)
+   :rtype: int
+
+.. c:function:: int openmc_find(double* xyz, int rtype, int32_t* id, int32_t* instance)
 
    Determine the ID of the cell/material containing a given point
 
@@ -207,6 +213,8 @@ Functions
                        occurs, the ID is -1.
    :param int32_t* instance: If a cell is repeated in the geometry, the instance
                              of the cell that was found and zero otherwise.
+   :return: Return status (negative if an error occurs)
+   :rtype: int
 
 .. c:function:: int openmc_get_cell_index(int32_t id, int32_t* index)
 
@@ -266,17 +274,24 @@ Functions
    :return: Return status (negative if an error occurs)
    :rtype: int
 
-.. c:function:: void openmc_hard_reset()
+.. c:function:: int openmc_hard_reset()
 
    Reset tallies, timers, and pseudo-random number generator state
 
-.. c:function:: void openmc_init(const int* intracomm)
+   :return: Return status (negative if an error occurs)
+   :rtype: int
+
+.. c:function:: int openmc_init(int argc, char** argv, const void* intracomm)
 
    Initialize OpenMC
 
+   :param int argc: Number of command-line arguments (including command)
+   :param char** argv: Command-line arguments
    :param intracomm: MPI intracommunicator. If MPI is not being used, a null
                      pointer should be passed.
-   :type intracomm: const int*
+   :type intracomm: const void*
+   :return: Return status (negative if an error occurs)
+   :rtype: int
 
 .. c:function:: int openmc_load_nuclide(char name[])
 
@@ -394,26 +409,41 @@ Functions
    :return: Return status (negative if an error occurs)
    :rtype: int
 
-.. c:function:: void openmc_plot_geometry()
+.. c:function:: int openmc_plot_geometry()
 
    Run plotting mode.
 
-.. c:function:: void openmc_reset()
+   :return: Return status (negative if an error occurs)
+   :rtype: int
+
+.. c:function:: int openmc_reset()
 
    Resets all tally scores
 
-.. c:function:: void openmc_run()
+   :return: Return status (negative if an error occurs)
+   :rtype: int
+
+.. c:function:: int openmc_run()
 
    Run a simulation
 
-.. c:function:: void openmc_simulation_finalize()
+   :return: Return status (negative if an error occurs)
+   :rtype: int
+
+.. c:function:: int openmc_simulation_finalize()
 
    Finalize a simulation.
 
-.. c:function:: void openmc_simulation_init()
+   :return: Return status (negative if an error occurs)
+   :rtype: int
+
+.. c:function:: int openmc_simulation_init()
 
    Initialize a simulation. Must be called after openmc_init().
 
+   :return: Return status (negative if an error occurs)
+   :rtype: int
+
 .. c:function:: int openmc_source_bank(struct Bank** ptr, int64_t* n)
 
    Return a pointer to the source bank array.
@@ -433,13 +463,15 @@ Functions
    :return: Return status (negative if an error occurred)
    :rtype: int
 
-.. c:function:: void openmc_statepoint_write(const char filename[])
+.. c:function:: int openmc_statepoint_write(const char filename[])
 
    Write a statepoint file
 
    :param filename: Name of file to create. If a null pointer is passed, a
                     filename is assigned automatically.
    :type filename: const char[]
+   :return: Return status (negative if an error occurs)
+   :rtype: int
 
 .. c:function:: int openmc_tally_get_id(int32_t index, int32_t* id)
 
diff --git a/docs/source/io_formats/settings.rst b/docs/source/io_formats/settings.rst
index 0aa058cdba..d2cb3b1253 100644
--- a/docs/source/io_formats/settings.rst
+++ b/docs/source/io_formats/settings.rst
@@ -93,29 +93,13 @@ or ``multi-group``.
 
   *Default*: continuous-energy
 
----------------------
-``<entropy>`` Element
----------------------
+--------------------------
+``<entropy_mesh>`` Element
+--------------------------
 
-The ``<entropy>`` element describes a mesh that is used for calculating Shannon
-entropy. This mesh should cover all possible fissionable materials in the
-problem. It has the following attributes/sub-elements:
-
-  :dimension:
-    The number of mesh cells in the x, y, and z directions, respectively.
-
-    *Default*: If this tag is not present, the number of mesh cells is
-     automatically determined by the code.
-
-  :lower_left:
-    The Cartesian coordinates of the lower-left corner of the mesh.
-
-    *Default*: None
-
-  :upper_right:
-    The Cartesian coordinates of the upper-right corner of the mesh.
-
-    *Default*: None
+The ``<entropy_mesh>`` element indicates the ID of a mesh that is to be used for
+calculating Shannon entropy. The mesh should cover all possible fissionable
+materials in the problem and is specified using a :ref:`mesh_element`.
 
 -----------------------------------
 ``<generations_per_batch>`` Element
@@ -199,6 +183,36 @@ then, OpenMC will only use up to the :math:`P_1` data.
   .. note:: This element is not used in the continuous-energy
     :ref:`energy_mode`.
 
+.. _mesh_element:
+
+------------------
+``<mesh>`` Element
+------------------
+
+The ``<mesh>`` element describes a mesh that is used either for calculating
+Shannon entropy, applying the uniform fission site method, or in tallies. For
+Shannon entropy meshes, the mesh should cover all possible fissionable materials
+in the problem. It has the following attributes/sub-elements:
+
+  :id:
+    A unique integer that is used to identify the mesh.
+
+  :dimension:
+    The number of mesh cells in the x, y, and z directions, respectively.
+
+    *Default*: If this tag is not present, the number of mesh cells is
+    automatically determined by the code.
+
+  :lower_left:
+    The Cartesian coordinates of the lower-left corner of the mesh.
+
+    *Default*: None
+
+  :upper_right:
+    The Cartesian coordinates of the upper-right corner of the mesh.
+
+    *Default*: None
+
 -----------------------
 ``<no_reduce>`` Element
 -----------------------
@@ -765,30 +779,15 @@ has the following attributes/sub-elements:
 
 
 ------------------------
-``<uniform_fs>`` Element
+``<ufs_mesh>`` Element
 ------------------------
 
-The ``<uniform_fs>`` element describes a mesh that is used for re-weighting
-source sites at every generation based on the uniform fission site methodology
-described in Kelly et al., "MC21 Analysis of the Nuclear Energy Agency Monte
-Carlo Performance Benchmark Problem," Proceedings of *Physor 2012*, Knoxville,
-TN (2012). This mesh should cover all possible fissionable materials in the
-problem. It has the following attributes/sub-elements:
-
-  :dimension:
-    The number of mesh cells in the x, y, and z directions, respectively.
-
-    *Default*: None
-
-  :lower_left:
-    The Cartesian coordinates of the lower-left corner of the mesh.
-
-    *Default*: None
-
-  :upper_right:
-    The Cartesian coordinates of the upper-right corner of the mesh.
-
-    *Default*: None
+The ``<ufs_mesh>`` element indicates the ID of a mesh that is used for
+re-weighting source sites at every generation based on the uniform fission site
+methodology described in Kelly et al., "MC21 Analysis of the Nuclear Energy
+Agency Monte Carlo Performance Benchmark Problem," Proceedings of *Physor 2012*,
+Knoxville, TN (2012). The mesh should cover all possible fissionable materials
+in the problem and is specified using a :ref:`mesh_element`.
 
 .. _verbosity:
 
diff --git a/docs/source/io_formats/source.rst b/docs/source/io_formats/source.rst
index a0a62afca0..cff77d2fa5 100644
--- a/docs/source/io_formats/source.rst
+++ b/docs/source/io_formats/source.rst
@@ -8,13 +8,13 @@ Normally, source data is stored in a state point file. However, it is possible
 to request that the source be written separately, in which case the format used
 is that documented here.
 
-**/filetype** (*char[]*)
+**/**
 
-    String indicating the type of file.
+:Attributes: - **filetype** (*char[]*) -- String indicating the type of file.
 
-**/source_bank** (Compound type)
-
-    Source bank information for each particle. The compound type has fields
-    ``wgt``, ``xyz``, ``uvw``, ``E``, and ``delayed_group``, which
-    represent the weight, position, direction, energy, energy group, and
-    delayed_group of the source particle, respectively.
+:Datasets:
+           - **source_bank** (Compound type) -- Source bank information for each
+             particle. The compound type has fields ``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/io_formats/statepoint.rst b/docs/source/io_formats/statepoint.rst
index f0f2af59b2..38dae7dd7a 100644
--- a/docs/source/io_formats/statepoint.rst
+++ b/docs/source/io_formats/statepoint.rst
@@ -133,15 +133,8 @@ The current version of the statepoint file format is 17.0.
            - **derivative** (*int*) -- ID of the derivative applied to the
              tally.
            - **n_score_bins** (*int*) -- Number of scoring bins for a single
-             nuclide. In general, this can be greater than the number of
-             user-specified scores since each score might have multiple scoring
-             bins, e.g., scatter-PN.
+             nuclide.
            - **score_bins** (*char[][]*) -- Values of specified scores.
-           - **n_user_scores** (*int*) -- Number of scores without accounting
-             for those added by expansions, e.g. scatter-PN.
-           - **moment_orders** (*char[][]*) -- Tallying moment orders for
-             Legendre and spherical harmonic tally expansions (e.g., 'P2',
-             'Y1,2', etc.).
            - **results** (*double[][][2]*) -- Accumulated sum and sum-of-squares
              for each bin of the i-th tally. The first dimension represents
              combinations of filter bins, the second dimensions represents
diff --git a/docs/source/io_formats/summary.rst b/docs/source/io_formats/summary.rst
index 049749b599..76c412b860 100644
--- a/docs/source/io_formats/summary.rst
+++ b/docs/source/io_formats/summary.rst
@@ -4,7 +4,7 @@
 Summary File Format
 ===================
 
-The current version of the summary file format is 5.0.
+The current version of the summary file format is 6.0.
 
 **/**
 
@@ -104,8 +104,13 @@ The current version of the summary file format is 5.0.
            - **atom_density** (*double[]*) -- Total atom density of the material
              in atom/b-cm.
            - **nuclides** (*char[][]*) -- Array of nuclides present in the
-             material, e.g., 'U235'.
+             material, e.g., 'U235'. This data set is only present if nuclides
+             are used.
            - **nuclide_densities** (*double[]*) -- Atom density of each nuclide.
+             This data set is only present if 'nuclides' data set is present.
+           - **macroscopics** (*char[][]*) -- Array of macroscopic data sets
+             present in the material. This dataset is only present if
+             macroscopic data sets are used in multi-group mode.
            - **sab_names** (*char[][]*) -- Names of
              S(:math:`\alpha,\beta`) tables assigned to the material.
 
@@ -116,6 +121,13 @@ The current version of the summary file format is 5.0.
 :Datasets: - **names** (*char[][]*) -- Names of nuclides.
            - **awrs** (*float[]*) -- Atomic weight ratio of each nuclide.
 
+**/macroscopics/**
+
+:Attributes: - **n_macroscopics** (*int*) -- Number of macroscopic data sets
+               in the problem.
+
+:Datasets: - **names** (*char[][]*) -- Names of the macroscopic data sets.
+
 **/tallies/tally <uid>/**
 
 :Datasets: - **name** (*char[]*) -- Name of the tally.
diff --git a/docs/source/pythonapi/capi.rst b/docs/source/pythonapi/capi.rst
index f358233992..38ce61fb35 100644
--- a/docs/source/pythonapi/capi.rst
+++ b/docs/source/pythonapi/capi.rst
@@ -44,5 +44,8 @@ Classes
    EnergyFilter
    MaterialFilter
    Material
+   Mesh
+   MeshFilter
+   MeshSurfaceFilter
    Nuclide
    Tally
diff --git a/docs/source/usersguide/install.rst b/docs/source/usersguide/install.rst
index b0618818e3..f5b277a840 100644
--- a/docs/source/usersguide/install.rst
+++ b/docs/source/usersguide/install.rst
@@ -141,16 +141,10 @@ Prerequisites
       recommend that your HDF5 installation be built with parallel I/O
       features. An example of configuring HDF5_ is listed below::
 
-           FC=mpifort ./configure --enable-fortran --enable-parallel
+           FC=mpifort ./configure --enable-parallel
 
       You may omit ``--enable-parallel`` if you want to compile HDF5_ in serial.
 
-      .. important::
-
-          If you are building HDF5 version 1.8.x or earlier, you must include
-          ``--enable-fortran2003`` as well when configuring HDF5 or else OpenMC 
-          will not be able to compile.
-
 .. admonition:: Optional
    :class: note
 
diff --git a/docs/source/usersguide/tallies.rst b/docs/source/usersguide/tallies.rst
index e0f8ab1797..bbec016423 100644
--- a/docs/source/usersguide/tallies.rst
+++ b/docs/source/usersguide/tallies.rst
@@ -21,7 +21,12 @@ region of phase space, as in:
 Thus, to specify a tally, we need to specify what regions of phase space should
 be included when deciding whether to score an event as well as what the scoring
 function (:math:`f` in the above equation) should be used. The regions of phase
-space are called *filters* and the scoring functions are simply called *scores*.
+space are generally called *filters* and the scoring functions are simply
+called *scores*.
+
+The only cases when filters do not correspond directly with the regions of
+phase space are when expansion functions are applied in the integrand, such as
+for Legendre expansions of the scattering kernel.
 
 -------
 Filters
@@ -69,10 +74,9 @@ Scores
 ------
 
 To specify the scoring functions, a list of strings needs to be given to the
-:attr:`Tally.scores` attribute. You can score the flux ('flux'), a reaction rate
-('total', 'fission', etc.), or even scattering moments (e.g., 'scatter-P3'). For
-example, to tally the elastic scattering rate and the fission neutron
-production, you'd assign::
+:attr:`Tally.scores` attribute. You can score the flux ('flux'), or a reaction
+rate ('total', 'fission', etc.). For example, to tally the elastic scattering
+rate and the fission neutron production, you'd assign::
 
   tally.scores = ['elastic', 'nu-fission']
 
@@ -98,12 +102,6 @@ The following tables show all valid scores:
     +======================+===================================================+
     |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.                                                |
-    +----------------------+---------------------------------------------------+
 
 .. table:: **Reaction scores: units are reactions per source particle.**
 
@@ -118,43 +116,10 @@ The following tables show all valid scores:
     +----------------------+---------------------------------------------------+
     |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.                    |
+    |scatter               |Total scattering rate.                             |
     +----------------------+---------------------------------------------------+
     |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.                              |
@@ -248,10 +213,10 @@ The following tables show all valid scores:
     +----------------------+---------------------------------------------------+
     |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 |
+    |nu-scatter,           |This score is similar in functionality to the      |
+    |                      |``scatter`` score 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.                                         |
     +----------------------+---------------------------------------------------+
diff --git a/examples/jupyter/mg-mode-part-ii.ipynb b/examples/jupyter/mg-mode-part-ii.ipynb
index 7a2b029de0..6380c32b08 100644
--- a/examples/jupyter/mg-mode-part-ii.ipynb
+++ b/examples/jupyter/mg-mode-part-ii.ipynb
@@ -26,9 +26,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import matplotlib.pyplot as plt\n",
@@ -50,9 +48,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# 1.6% enriched fuel\n",
@@ -84,9 +80,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Instantiate a Materials object\n",
@@ -106,9 +100,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create cylinders for the fuel and clad\n",
@@ -136,9 +128,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create a Universe to encapsulate a fuel pin\n",
@@ -173,9 +163,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create a Universe to encapsulate a control rod guide tube\n",
@@ -210,9 +198,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create fuel assembly Lattice\n",
@@ -231,9 +217,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create array indices for guide tube locations in lattice\n",
@@ -263,9 +247,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create root Cell\n",
@@ -290,15 +272,23 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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ar1I2kvhnpIm8QvUCfMuv47Gs2J1uI/GzJ+nxA2l+aojfx6h/woS0AKliOolN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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f353b5fe940>"
+       "<matplotlib.image.AxesImage at 0x7f6d864d44a8>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f6d88d2f860>"
       ]
      },
      "metadata": {},
@@ -321,9 +311,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create Geometry and set root universe\n",
@@ -343,15 +331,13 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# OpenMC simulation parameters\n",
     "batches = 600\n",
     "inactive = 50\n",
-    "particles = 2000\n",
+    "particles = 3000\n",
     "\n",
     "# Instantiate a Settings object\n",
     "settings_file = openmc.Settings()\n",
@@ -383,9 +369,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Instantiate a 2-group EnergyGroups object\n",
@@ -402,9 +386,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Initialize a 2-group MGXS Library for OpenMC\n",
@@ -424,9 +406,7 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Specify multi-group cross section types to compute\n",
@@ -446,9 +426,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Specify a \"cell\" domain type for the cross section tally filters\n",
@@ -470,9 +448,7 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Do not compute cross sections on a nuclide-by-nuclide basis\n",
@@ -489,9 +465,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stderr",
@@ -519,9 +493,7 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Check the library - if no errors are raised, then the library is satisfactory.\n",
@@ -538,9 +510,7 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Construct all tallies needed for the multi-group cross section library\n",
@@ -559,9 +529,7 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create a \"tallies.xml\" file for the MGXS Library\n",
@@ -579,10 +547,21 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Filter instance already exists with id=66.\n",
+      "  warn(msg, IDWarning)\n",
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Filter instance already exists with id=2.\n",
+      "  warn(msg, IDWarning)\n",
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Filter instance already exists with id=11.\n",
+      "  warn(msg, IDWarning)\n"
+     ]
+    }
+   ],
    "source": [
     "# Instantiate a tally Mesh\n",
     "mesh = openmc.Mesh()\n",
@@ -618,9 +597,7 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -652,11 +629,11 @@
       "                                     %%%%%%%%%%%\n",
       "\n",
       "                   | The OpenMC Monte Carlo Code\n",
-      "         Copyright | 2011-2017 Massachusetts Institute of Technology\n",
+      "         Copyright | 2011-2018 Massachusetts Institute of Technology\n",
       "           License | http://openmc.readthedocs.io/en/latest/license.html\n",
-      "           Version | 0.8.0\n",
-      "          Git SHA1 | 4b01fd311461f1350989cb84ec18fe2cbaa8fa9f\n",
-      "         Date/Time | 2017-03-10 17:30:51\n",
+      "           Version | 0.10.0\n",
+      "          Git SHA1 | 6c2d82a4d7dfe10312329d5969568fc03a698416\n",
+      "         Date/Time | 2018-04-22 15:02:43\n",
       "    OpenMP Threads | 8\n",
       "\n",
       "\n",
@@ -665,23 +642,13 @@
       "\n",
       " ============================>     RESULTS     <============================\n",
       "\n",
-      " k-effective (Collision)     =  1.16584 +/-  0.00111\n",
-      " k-effective (Track-length)  =  1.16532 +/-  0.00131\n",
-      " k-effective (Absorption)    =  1.16513 +/-  0.00100\n",
-      " Combined k-effective        =  1.16538 +/-  0.00086\n",
+      " k-effective (Collision)     =  1.16513 +/-  0.00090\n",
+      " k-effective (Track-length)  =  1.16337 +/-  0.00104\n",
+      " k-effective (Absorption)    =  1.16479 +/-  0.00080\n",
+      " Combined k-effective        =  1.16460 +/-  0.00068\n",
       " Leakage Fraction            =  0.00000 +/-  0.00000\n",
       "\n"
      ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "0"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -699,9 +666,7 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Move the statepoint File\n",
@@ -724,9 +689,7 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Load the statepoint file\n",
@@ -747,9 +710,7 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Initialize MGXS Library with OpenMC statepoint data\n",
@@ -781,23 +742,8 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/nelsonag/git/openmc/openmc/tallies.py:1834: 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:1835: 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:1836: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  new_tally._mean = data['self']['mean'] / data['other']['mean']\n"
-     ]
-    }
-   ],
+   "metadata": {},
+   "outputs": [],
    "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",
@@ -820,24 +766,35 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Material instance already exists with id=1.\n",
+      "  warn(msg, IDWarning)\n",
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Material instance already exists with id=2.\n",
+      "  warn(msg, IDWarning)\n",
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Material instance already exists with id=3.\n",
+      "  warn(msg, IDWarning)\n"
+     ]
+    }
+   ],
    "source": [
     "# Re-define our materials to use the multi-group macroscopic data\n",
     "# instead of the continuous-energy data.\n",
     "\n",
     "# 1.6% enriched fuel UO2\n",
-    "fuel_mg = openmc.Material(name='UO2')\n",
+    "fuel_mg = openmc.Material(name='UO2', material_id=1)\n",
     "fuel_mg.add_macroscopic('fuel')\n",
     "\n",
     "# cladding\n",
-    "zircaloy_mg = openmc.Material(name='Clad')\n",
+    "zircaloy_mg = openmc.Material(name='Clad', material_id=2)\n",
     "zircaloy_mg.add_macroscopic('zircaloy')\n",
     "\n",
     "# moderator\n",
-    "water_mg = openmc.Material(name='Water')\n",
+    "water_mg = openmc.Material(name='Water', material_id=3)\n",
     "water_mg.add_macroscopic('water')\n",
     "\n",
     "# Finally, instantiate our Materials object\n",
@@ -868,9 +825,7 @@
   {
    "cell_type": "code",
    "execution_count": 29,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Set the energy mode\n",
@@ -890,9 +845,7 @@
   {
    "cell_type": "code",
    "execution_count": 30,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create a \"tallies.xml\" file for the MGXS Library\n",
@@ -902,7 +855,7 @@
     "mesh_tally = openmc.Tally(name='mesh tally')\n",
     "mesh_tally.filters = [openmc.MeshFilter(mesh)]\n",
     "mesh_tally.scores = ['fission']\n",
-    "tallies_file.add_tally(mesh_tally)\n",
+    "tallies_file.append(mesh_tally)\n",
     "\n",
     "# Export to \"tallies.xml\"\n",
     "tallies_file.export_to_xml()"
@@ -919,15 +872,13 @@
   {
    "cell_type": "code",
    "execution_count": 31,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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nL7deVymkujaSEkdoXhJHg+64nq/qgb2fTBO8VFX9CWcMx/mqeh4wEvhLfMOK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\npZNlqvpX4LD4hhUdaxw3xpj485I4Kt1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mkzbRF+n1OKJRH3XuU18xY9kWT8eWV1TyxJTlAb98WVm+6ao3cYjI/TjVVYvcx/Uicl+0A2soEWHckfvy+K8O5vt1OznjsS9Ztqkw3mGZJBdOKSLUl/iqihpSYtm4s8TTcW/MW8v97y/m4U9+3Hv98C9rkoSXEscpwAmq+oyqPgOMBE6NbliRc/IBHXlp3DB2l5Zz1uNf8tUKK6ab6Alt4sLE/87uK2kU+S05+2M9X8AKisu4//3F1m03iXkdOd7S7+e8aAQSTQd1a8WbVx9OuxaZXPD017wxd028QzJJKlLtFl7W42iISMQZ6Bwbd5Zw7N+/4Ikpy5k0f13DL2ISkpfEcR8wT0QmiMhzwBzgnuiGFXldWzfj9asOI797a254ZT4Pfby00Q7AMokrlJHjif72m/jNz/zf298D3ktS5z75FVuLSgEotx6NSctLr6qJwDDgDeB1YLiqvhztwKIhr1k6z106lLFDuvDPT3/k96/MZ0+59bgykRNWG0eY06o35Py/f3U+PW+dHPR1D35U5+rRAPzl3e+57/0fqm1bs73Y78LeYzSNS50jx0Wkv6ouFpGD3U2++p1OItJJVedGP7zIy0hL4W9jB9G9dTMe/Hgpa3cU8+8LhtCyWUa8QzNNjKcBgIGWlY3QBIgNff2MZVuZsWwrP24s5JmLD6GsopLySmvXaAqCTTlyAzAOeDDAPgWOjUpEMSAiXHdcH7q1acZNry7gzMe/5NmLD6F7m5x4h2YauVhUP8Vj/J3vvjbvqt2t/bPFmwAY8H8fYLVTTUOwFQDHuT+erKrV+u6JSFZUo6p+rV7AbUCeqo6N5LnHDO5Mx7xsxj0/mzMe+5KnLsxnSPdWkbyEaWJC6VXlJcnEd3nZ2hlqa1Hd46HKKqrHunxzIaXllWSk2eoNycbLX/RLj9s8E5FnRGSTiCyssX2kiCwRkWUicguAqq5Q1csacr1ghvZszRu/PozcrDTOfeorJi9YH61LmSYgnG/cAadV91Adlehrlv976gpuf+s7Hvn0R5ZvtjFUyaTOxCEi+4jIECBbRA4SkYPdx9FAswZedwLOeBD/66UC44GTgQHAuSIyoIHX8aRXu+a8cfXhDOqcxzX/m8vjXyy3HlcmLCFNORLmB3+oXXVDfSurKv+ZtoItfrMthPu/4ZXZa3jw46Uc9+CUMM9gElGwNo6TgIuBLjjtHL53607gjw25qKpOFZEeNTYPBZap6goAEXkJGIMzWj3qWudk8MLlh3LTawv46weL+XlbEX8ZM5D0VCtmG+8i/XUj2Pmi9d1m+eZC7p78Q8B90R5fYhqHYG0czwHPichZqvp6DGLpDKz2e74GOFRE2uCMGzlIRG5V1YDTnYjIOJzGfLp16xZWAFnpqfzzl4Pp1jqb8Z8vZ832Ysb/6mBys9LDOp9pesLrjlt7296qqto7q/aFfilPwhl/8cJXq6IQiUlUXr5ODxGRqpHjItJKRO6OYkzVqOpWVb1KVfetK2m4xz2pqvmqmt+uXbuwr5eSItx0Un8eOGsQM5dv5RePz2TtjuL6X2gMkZ8dN1EqTH2xfv1T4Cl7bn9rYcDtJjl5SRwnq+oO3xNV3Y4zf1WkrQW6+j3v4m7zzLeQU0FBQYODOfuQrky4ZCjrdhRz+vgZfLem4ec0yS+85TjCSw+RaIdbvKH20jp1VUfNWbW9aiR5OOz/UPLwkjhSRSTT90REsoHMIMeHaxbQR0R6ikgGcA7wTign8C3klJcXmem0RvRpy+tXH0ZGagpn/3smHy/aGJHzmuQVyme5p2MDVWN5v0S9Rj48zdNxIoHHcIRi9KPTG/R6kzi8JI4XgU9F5DIRuQz4GHiuIRcVkYnATKCfiKwRkctUtRy4FvgQ+AF4RVVD+noTyRKHT98OLXjzmsPo26E5456fzbMzforYuU3yCadXVaBv+L5tkVg6NjLTlkTgJCZpBOtVBYCq/lVE5gPHu5vuUtUPG3JRVT23ju3vAe814LyTgEn5+flXhHuOQNq3yOKlccO5/qV53DlpEau27uZPowaQmmI9TEx1IU2qHuaHcSTW4wh+/tC2h2JnSRl7yipp1yIalRYmVupNHK4fgHJV/UREmolIC1XdFc3AEk12RiqPnz+E+977gf9M/4k123fz8DkH0TzT66/QNAWhzI7rRSJ907/y+TkNPscRf/2cguIyVt7faJb0MQF4WQHwCuA14N/ups7AW9EMKlzRqKryl5oi3D5qAHeN2Z/Pl2xm7ONfsmb77qhcyzRSkVqPw9NEhsqPG3fFaIbnyNxYQXFZRM5j4stLG8c1wOE4A/9Q1R+B9tEMKlyRbhyvywXDe/DsxYewdkcxYx6dweyV26J6PdN4xKSqyv13a2EpJzw0lT++sTCiEx9aBaypj5fEsUdVS31PRCSNxOleHjdH9m3Hm1cfTousNM576mtem2OrCpoQe1V5+G8U7IhdJc5yrrNWbgs+p5XHoK6bOI/HvlgWcN/slds9ncM0DV4SxxQR+SPOnFUnAK8Ck6IbVniiXVVVU+/2zXnrmsPJ79GKG1+dz33v/0CFzSvdpEV8dtwoL/Lkb9L8dTzwQeDFm+pbZ9w0LV4Sxy3AZuA74EqcXk+3RzOocMWqqspfy2YZPHfpUM4f1o1/T1nBlc/PpnBPecyubxJLTL431KhLSvRZcgN5auqKeIdgGsDL0rGVqvoU8CucOaPeVps6tpr01BTuPv0A/uI2mp/12Jes3maN5k1RaOM4wjvGlzf8rxWPxZ0a4p73fmDhWhtJ3lgFm1b9CRHZ3/05D/gW+C8wT0QCjsNo6i4c3oMJlxzC+gJnmpJZ1mje5ITWOO6hjSPoehwOQSLabTdWSWhrUWn9B5mEFKzEcYTfyO1LgKWqegAwBPhD1CMLQ6zbOAI5ok873rrmcHKz0znvqa94dfbq+l9kkkdIjeORumTjrACorFRKymLRldhEWrDE4f914ATcsRuquiGqETVAPNo4AunVrjlvXX04h/Zsw02vLeDe96zRvKkIp3E8+Dd8b+cLdo5Efefd8sYC+v/pg6rnyzYV2rioRiJY4tghIqNE5CCccRwfQFV33OxYBNeY5TVL59lLDuHC4d15cuoKxv13NrtKbPBTsqusDP01gdfjqHtakb379s51FdkFlmJTV7VxZ/VJE4//xxRG/PXzmFzbNEywxHElzqSDzwK/9StpHAdMjnZgySA9NYW/jBnIXWP254ulmxn7+ExrNE9yoX27D3fp2Jpn0TpLHIV7ytlQUBLWdYypS7AVAJdSY11wd/uHODPYJhwRGQ2M7t27d7xDqeaC4T3o2bY5V784hzHjZ/DE+UMY2rN1vMMyURCvhZzqKiOc9sh0Vmwp8hqSMZ4k1YLaidLGEciIPm1565rDaZmdzq/+8xWvWKN5UgqpV5X7b9D2iaAjwvf+XNc5wkka8e7aW2TjoBJeUiWORNerXXPedBvN//DaAu6ZvMgazZNMxNYc9+0LkIoCrTmeEu9P+wja/46ErNAwfixxxFhes3QmXHIIFw3vzlPTfuKK/85mpzWaJ41IV1U1Fdb217h4mVb9ehHJFcfTIjJXRE6MRXDJKi01hTvHDOTu0wcydelmTntkesC1n03jE4sBgFWrA1arqmrcJY4jHrDeVI2JlxLHpaq6EzgRaAVcANwf1aiaiPOHdWfiuGEUlVZwxvgveWve2niHZBootNlxHYE+8wNVRwUTybTxxZLNETxb/WwGo8bHS+LwvSdPAZ53R5Mn5NebRBg5HqpDerRm8nUjOKBzHr99+VvueHshpeVhDAYwCSHSs+N6vVYkCxzvLlgXuZM1wMK1BSxYsyPeYZgAvCSOOSLyEU7i+FBEWgAJ+cmWyL2qgmmfm8WLVxzK5SN68tzMVZzz5Ezre99IRapxfO++uhvHq20L/bJhxRMNyzcHnrJ91CPTOe3RGQBs2llCpXUkSRheEsdlOFOrH6Kqu4F0nLmrTASlp6Zw+6gBPHreQSzesItRj0xj5vKt8Q7LhCiUNccbOsdUsrRxnDH+y1rbPli4d2aj9QXFDL33Ux7+ZCkA81fv4DcT51kiiSMviWM4sERVd4jI+ThrcTSeuqBGZtSgTrxz7eHkZadz/tNf8+TU5VYHnKyCzFXl614bLBH572nEeYPC0trjNq56YU7Vz5vcqUm+WOq0vYx7fjbvzF/Hpl17ar3OxIaXxPE4sFtEDgR+DyzHmV7dREnv9i14+9oRnLR/B+59bzFXvzjX5rlqJMJpHA8kNcXJBOUVXic5jFzmiPXXlHC/F63dsdt6I8aJl8RR7i7cNAZ4VFXHAy2iG5ZpnpnG+PMO5vZT9+OjRRsZM34GP27cFe+wTD1CGdAZ7AMzzU0cXs6nmqC9VSJkR3HgL01nPT6TkQ9Pi3E0Brwljl0icitON9zJIpKC085hokxEuPyIXrx4+aHsLC5nzPgZCdPjxQQWqZkAUnwljgDnqzk7rrMtIpd1zhW5U0XERc98A8DGnSVs2mmdRhKBl8TxS2APzniODUAX4G9RjcpUM6xXGyb/ZgT7dczl2v/N48/vfM+eclsAJxGVhTCverDG8VSpu8RR84NdhAhPq56YNu7cw9B7P601HbuJPS9rjm8AXgTyRGQUUKKq1sYRYx1ys5h4xTAuPbwnE75cyRnjv6yzG6OJH69tEhC8qio11Kqq5M8bJoF4mXLkbOAb4BfA2cDXIjI22oGFozEOAAxFRloK/zd6AE9flM/6gmJGPzKdV2evtl5XCaSsIpQSR91SgpQ4ql7vtyslgonD3k+mPl6qqm7DGcNxkapeCAwF/hTdsMLTWAcAhuq4/Trw/vVHMqhLHje9toDrX/rWel0liEBtEuHwJYLAbRzOv9VGjkewqmr+msb1xeulb36OdwhNjpfEkaKqm/yeb/X4OhNF++Rl8eLlw7jxxL5M/m49p/xrGvN+3h7vsJq80HpVqftv7X17q6rCn6Thxa9Xhf3axuSWN76LdwhNjpcE8IGIfCgiF4vIxTjLxr4X3bCMF6kpwrXH9uGVK4dRWQljn5jJPz5aYnNdxZh/1U44VVUVAacVqbtXVSA12ziWbSrktjcXeo7FmFB4aRy/Cfg3MMh9PKmqN0c7MOPdkO6tef+3R3D64M7867NlnPHYDJbamI+Y8S9lhNI47sscwUopXts4ag4AtC8PJpqCJg4RSRWRz1X1DVW9wX28GavgjHe5Wek8ePaBPHH+EDYUlDDqkek8OXW5rTAYA/6lgnC64wb+G9W9r6qNwz9x1HFuY6IhaOJQ1QqgUkSSu7U5iYwcuA8f/u5IjurbjnvfW8y5T37Fz1ttdbVo8q+eqgilxBGEL/8EHsdRuyHcuuOaWPLSxlEIfOeu/vcv3yPagZnwtW2eyZMXDOHvvziQH9bv5MSHp/Dk1OWUh1D/bryrVlUVoSlHfCWGYOcLNslhUxgQ6K+gjmlJTHR4SRxv4HS/nQrM8XuYBCYijB3ShQ9/dyQjerfl3vcWc/pjM1i4tnF1tWwMyirCbBwPkjgqg7R/7K2q2rsvpYkXOU79l81ZFUtpde0QkXZAO1V9rsb2/YFNgV9lEk2nltk8dWE+7y/cwB3vfM+Y8TO4bERPfnd8X7IzUuMdXlIo92vXCGnkeLB9Wvvcpm5rthfHO4QmJViJ4xGgbYDtrYF/RiccEw0iwikHdOST3x3F2fldeHLqCk58eApTl8Z2belk5Z8sQmkcD7rWhrsvWCIKmniscdxEUbDE0VtVp9bcqKrTcLrlxoSI5IjIcyLylIj8KlbXTUZ5zdK578xBvDxuGOmpKVz4zDdc+fxsVm+zxvOG8G+H2BNCN9hgU3v49gTqVlurB5VaVZWJrWCJI9iaGw2aVl1EnhGRTSKysMb2kSKyRESWicgt7uYzgddU9QrgtIZc1zgO7dWG968/gptO6sfUpVs47h9T+MdHS9gdYCU2Uz//TgfFpd5nLQ7WHOJLKsVlQc5XbRxH9V1NrXHcxFawxLFMRE6puVFETgZWNPC6E4CRNc6bCowHTgYGAOcOOiC8AAAgAElEQVSKyACcadxXu4fZXOIRkpmWyjXH9OazG4/i5IH78K/PlnHcg1N4Z/46m+QuRP4ljlCSb7CqKt8pgyUOX3VUoMKGVVWZaAqWOH4LPCwiE0TkOvfxHE77xvUNuahbBbatxuahwDJVXaGqpcBLOKsOrsFJHkHjFZFxIjJbRGZv3mx19151zMvmn+ccxKtXDadVswx+M3Eep4+fwZfLtsQ7tEbDvx0ilBKHl/XEA56vRqawPJ9YXvrmZ/Lv/pjKJB58W+cHsar+CBwATAF6uI8pwCBVXRqFWDqzt2QBTsLojNMd+CwReRyYFCTeJ1U1X1Xz27VrF4XwktshPVoz6boR/G3sIDbv2sN5//maC5/5xrrveuBrEM9KT2F3hBKHb9/XP9X8fgWpbt7wr+qy5JE4/u/t79lSWMqGJF6tsM7uuACqugd4Nkax1BVDEXCJl2NFZDQwunfv3tENKkmlpgi/yO/K6AM78fzMVYz/YhmjHpnOaQd24rfH96FXu+bxDjEh+cZa5Galh5Q4gg75CJII0lOd73ul7iqQIsF7WJnYSkkBKmDH7jI6tcyOdzhRkUjTo68Fuvo97+Ju86yprMcRbVnpqVxxZC+m3HQM1xyzLx8t2sDx/5jCbybOs8kTA/AN+svNTg/emF1DZZBZdf331WxzykhLcV+zd1p2a5dKHL4vEjuTeI2cREocs4A+ItJTRDKAc4B34hxTk5aXnc5NJ/Vn2h+O5Yoje/HJDxs58aGpXPX8HKvC8uNr42iRlcbu0nJ27C71tC58ZbVG9erH+ueBml18q0ocNoVMQqpKHEk8DYqXpWNzRCTF73mKiDRryEVFZCIwE+gnImtE5DJVLQeuBT4EfgBeUdXvQzxvUi8dGy/tWmRy68n7MePmY/nNsb2ZsXwLox6ZzgVPf83nizcldSOgF75SRpucTErKKnno46VM+HIlb8x1CszFpRXc8voCCnZX/yD545t7FyAq2lO9N5Z/r6iaDeTpbiOHTZ2emHz/HXaWJG/3di8ljk8B/0TRDPikIRdV1XNVtaOqpqtqF1V92t3+nqr2VdV9VfWeMM5rVVVR1CongxtO7Mf0m4/lDyP78ePGQi6ZMIvjH5rC81+tarLjQHwf7G2bZwBQuMd5XuImlJdn/cxLs1bz8KfV+5T459uavzv/fTWrvzLSnKli/Ku3atZU2XT68dekSxxAlqoW+p64PzeoxBEtVuKIjbzsdK4+ujfTbj6Gf54zmOaZafzprYUMv+8z7pm8iGWbCus/SRLxVTO1znESh6+KyvfZ7fvX/8O9ZpuEL9ns3e+/r3pS8ZU4fIlj7Y5ivl9X/T0fSrdgEzklfkm+qbdxFInIwb4nIjIESMgZxazEEVvpqSmMGdyZt685nNeuGs7hvdvw7IyVHP+PKZz9xExen7OmSXyAVVVVNc8E9rZJBKvCq1lC2FXjQ8Y/sZz4UPWZfzKqelXtLXE8Ne2ngDGZ2NrhVx25szh5S+BBu+O6fgu8KiLrcKbJ2Qf4ZVSjaqgtP8Kzp8Y7iiZDgHz3Udqrki2Fe9i0aQ8lb1ewcJLQNieTti0yaJ6ZFtupMA4YC/meenI3SLFbzdSuRab73PnQ9q0l/u3qHUD1ZFBznfELnv6Glffvfc8q0LJZerUPIp80XxtHkAkQk7l+PZFt311a9XMyrxFSb+JQ1Vki0h/o525aoqrJ+xsxDZKRmkKnvGw65mWxq6ScTbv2sKmwhI27SshMS6FNTiZtmmfQLCM1uklkg9vwHIPEsbu0grQUoWsrp8/+Rnfgl6+d4Z3564Dq7RbBBv8BfLa47pULfL2q3v627t7qf/twcf2Bm4jbXuSfOEqDHFn/OVq5VZ+JKNh6HMeq6mcicmaNXX1FBFV9I8qxhazaAMBLJsc7nCZNgFz30b6kjI++38g789cxY9kWKjYrvds3Z+T++3BM//YM7tqS1JQIJ5EYljiL9pTTLCOVzu5grw0FTuKoWVXl31Mq1GU2vvlpGxO/+Zk3563lqL7OzAjBBhuu3paQtclJb7tbQmzXIpMtheEljoPu+higWgk00QQrcRwFfAaMDrBPcaYCSSiqOgmYlJ+ff0W8YzF75WalM3ZIF8YO6cLWwj28v3ADk+av47EvlvHo58tonZPBUX3bcXS/duT3aE2nvCykEU0Tvm13Ga1zMmjbPJOMtBR2uY3ZC9YW8Od39vYor6/Eoap13vfZ/55Z9fOXy20esUS1aZfzpaH/Pi1YubUo6LF/+3Axa7YX889zDopFaBFVZ+JQ1Tvcf6Nf1jdNRpvmmZw/rDvnD+vOjt2lTP1xC58v3sQXSzbx5jyn6mWf3CyGdG9F/31a0K1NM9rkZJKaImzfXcq6HcXsKimnQ24WIwfuU9WTKZ62F5XSOieDlBRhv465zHfbND5etLHaccHaOMCp0hozuHO1bRMuOYSLn51VbZuz9oZ1t63pqakr6Nwqm84ts+ncKps2ORkx/wKycece0lOFPu1bMGfV9qDHjv98OQAPnT2YlEiXuKOs3jYOEWkD3AGMwHm3Tgf+oqpboxxbyGyuqsalZbMMTjuwE6cd2ImKSuWH9TuZs2p71WPyd+uDvv6udxdx4fDujDuyV1WPplj6cvkW5q7azpbCPXRx2zcO7tayKnHUVK07rl9VVd8OzVm6sbBqOhf/HlZH92tf6zyhrGvelNzz3g/Vnmelp9CppZNIurgJpWvrZvRok0OPtjnkZTdoWaGA1hcU0yE3i3YtMtldWsHu0nKaZQT/mN1aVFrVsaKx8NKr6iVgKnCW+/xXwMvA8dEKKlxWVdV4paYIAzvnMbBzHhcd1gNweiet3r6bHbvLKK+oJK9ZOp1bZpOblc7STbv495QVPDVtBc9/tYrzhnbjtMGdGNgpr95vb1sL97ByaxFDurcOKUbf+IzMtFSWbNjFeU99DTgfUIft66yyfFTfdjw7Y2XA11fWUeK4/6xBnPnYl7w5dy2/O74vB/z5o2qv+79RA/jLu4v8zhNS2E3G/DtOZO32YtbuKGbN9t1VP6/dUcyidTvZWlS9zaFVs3S6t8mhR5tm9GibQ78OLdivYy7dWjcLuwSwYnMRPdvm0MYdDLplVynd2tT+mPUvfa4vKOb1uWu4//3FLL37ZM/X+mTRRgZ1yaN9blZYsTaEl8TRUVXv8nt+t4gkdndckxSyM1Lp2yHwQpT998nloV8O5ppj9uXhT35kwpcr+c/0n8jLTmdw15b8ZXsRWWmpLF66mbzsdHKz0qhU+H5dAXe9u4gthaU8/MvBnH5Q9aqh4tIKdhSX0jGv9qymJz88jfTUFD783ZE8M33vuImSskr6dHBmDj6qbzsuPbwnz8z4qdbrK9Xponns37/g7tMHVm0f3KUlAOsKSuh92/u1XnfpiJ4sWr+T1+asqdpWV1fdpiwvO5287HQGdMoNuN/3RWTlliJWbi1i5dbdrNpaxKyV23l7/rqqEmFORir9O+YyoGMuB3ZtyUHdWtKrbU691V7lFZUs31zI2fld6dbaGSP909YiurWpPV7af4zHuh0lPDnVWRtvW1H9Dep7yis48M6PKCmrpFfbHD678eh6XxNpUt+smiLyD+Ab4BV301hgqKreGOXYwpafn6+zZ8+OdxgmhnbsLuWTHzYxZ9U25v28gzu3/4H9WMUi7V7r2Kz01KrlXnu0ySEnM420FCE1RVi+uZCtRaXkd29FWorT7bWotJwNBSVsLtwDwMHdWjF/zY5q03oM7tqSLHcqEHASxA8bdla7bk5GKjmZaWzatYfs9NSqQXrDerbh+3UFVY3q/ob1bFP181c/7a0dTk9JqVoHJJADOufxXRObiNL/dxWqStWqqqWi0gp27ylnd2lFVcmwWUYqbXIyaJGVTvPMtIBrvO/aU8b363bSu31z8rLSmfPzdrq3bhbwS0hxWTnz1zh/n+5tmrFuRwllFZUc2KUl89fsCHo//u+Dht63P7n0vTmqmu/lWC8ljitwBgG+4D5PwRlNfiWgqho4vRsTQy2bZVT13AKonHUlZfNfZv+ySsorlfJKRYDMtBSaZ6VRXFrBDxt2sWxz4OlRvl29g+z0VFJEKKgxqnvuz9UbPQWqJQ2A3Ow0WudkVPsGWVRaQZHbhbbmyO4+HVrUOm9NQ3u05puVzsJOZZWV5Hdvxew6GmBzMtIY2CmPheuaVvIIV4oIzTPTaJ659yNRUYrLKthZXM7mXSWs3l4MFCNATmYaLbLSqhJJaoqwbkcxItAyO520lBTSUqTq711Tmd/gzdLyyqoRTY1ljrF6SxyNiV/j+BU//vhjvMMxCa6sopIlG3axdOMudpWUU7innEx3rYu5P29na2EpRaXl5HdvTfPMNH7aUsSnizdSUrb3m/7Fh/XgtlP3qxqUV9P0H7fwwIeLWbCm7g9wX3/9MeNn1GpYr9mX/7cvzeOtb9dV7VNVet76Xp3n7HFL8PFMr/96OGc9PrPatnvPOKDazL2NRbTHPWwvKmXWym3MXrWd2Su38d3agmoJAOC2U/bjiiN7AXDNi3P5ZuU2vr71uFptJu8uWMe1/5sHwKhBHZm7ajvrCkp4edwwfvnkV4Cz7kqgNg//v2lairDs3lMicn8iEtESByJyGnCk+/QLVX033OCiyRrHTSjSU1OqGuS9KiguY9POElrnZNCyWUa9AxdH9GnLiD4jKKuoZPH6XYx+dHq1/cfvt7fX1H8vHcqBd35U8xTVjDty36rEAdRb737ryf257/3ao8gP7dmavh1aMLhrq2rbD+7WktY5ke9tlAxa5WRw4v77cOL++wDOhIbfrS3g+7UFFJVWcFC3llWdJACOH9Ceyd+t56sVWzmsd9tq59rqDg7s26E56wtKqv6Ou/1KoqXllUHH9kCt5edjxst6HPcD1wOL3Mf1InJftAMzJhHlZafTp0ML2jTPDGm0e3pqCgd0yeOb246rtv3yI3pVO/fwXsHrq3u1y6m17blLh1b9fNi+bfjNsXu7o1951L4Bz3PfmQdw1+kDq93DD38ZyctXDic1JZHWd0tcWempHNKjNRcf3pNrjuldLWkAnDywI+1aZPLAh0tqdaFeu6OYjLQUBnTMZUNBCb5fec1JQb1WCKlq1eDDWPDyDjkFOEFVn1HVZ4CRQOKOhTcmgbVvkcWP95zM4K4taZGVVqsH0MPnDK76eZ8A3Syz0lNrbRvWa2+34od/OZgbTuxX6xh/X9x4dMD147MzUklPderma4rGmIdkl5Weyh2jB/Dt6h3c/NqCasljxeYierbJoXOrbDbsLKlKEDWnkak5UHR5jTa5sgpl6cZdvPD1zwy951MW1+iQES2eqqqAlsA292ebs9yYBkhPTeGtaw4PuK+DX7K4+pjApYWaMv0a5usbf5CWIvRoW7vU4i9QSWrckb3424dLPMVj9ho1qBM/bS7iwY+XsnJrEX89axA92+Yw9+ftHNmnLR3zsqmo1KqJMYtrLOj17eodHNLD+WKwZvtujntwSq1r+E+7/9PmIvrvE/3+Sl5KHPcB80Rkgog8B8wBQl6dzxjjjW8MQKDSBcDfxg7i5pH9A+5LDVDpfe7QrgCcdmAnvrjp6HqvH6jEEc3lgY/tX3t0fDK57rg+/POcwazYUsRJD0/l1H9NZ1tRKSMHdqTfPs44JV8je80FvS71m27m5627q+3rmBf7gX8+XqZVnygiXwCHuJtuVtUNUY0qTDbliEkGH/z2CJ6fuYozawxO9PlFftc6XxuoxOErkRzYtSVdWtW/eGeg6S+i2Uv0iD5tg04j78Xx+3WIUDTRMWZwZw7v3ZYJM1YyY/kWrjlmX07avwOVCh1yM9m40xkjtHZH9eRQWsf0Mqce0BEEJi+oPi3PlKWbWVdQwmUjekbnRlxeGsfPAHar6juq+g5QIiKnRzWqMNkKgCYZNMtI48qj9iWtji6+wQSqZspMd85T4nFVwD4dWvDaVcOrbatUZWDn6FSB1NfJoFc9VWsAT5x/cL3HxFvb5pnceFI/3rz6cG46qT8izqDTv541iGG9WpOblVar23Zd85IN7tqSEwIky5dmreYuv+lposXLO/MOVa26G1XdgTPpoTEmwQSqqvINTtwTwnKy+T1ac5VfjyxV5YGzDmx4gAGcHaQEBfDZjUez8M6Tgry+S1hJNlEc3a89L40bzu9P7FcrcfiX9PwLfV1aZbNvgA4OseLltx3oGK+N6saYGDjzYKdaKyu99n/X7AwncZSUB/72un+nXC4aXntqlltO7s/tp+4HQGZ6KgM65fLSuGGRCrlKVnpq1ezCPtP+cEy15/4jumt6YGx0ElqsnTu0G0N7Vp94MzcrrWpCRP8OVt3aNKNFVvw+hr0kjtki8g8R2dd9PITTQG6MSRAPnDWIhXeeFHCwWLbbyF5zjIDP5N8cwZ1jBgbcd+HwHtx0Uj8uP8KpM4/4So2u6TcfW+1519bN2L9TLn077P1W/fdfHMjAzrlx/cCMpoy0FJ6/bCiH9947lmdnSTl//2gJlZXKDL8FvPp1aEH73LqnYv/HR0v4zcR5VTM6R5qXv8B1wJ9wplIH+Bi4JirRGGPCkpaaQvM6qmt806iU1lHiCCYjLYVrjtnb2WS/jrXbOYLNmVWXq47al4sO687iDbtq7fvuzycCTkLz55uL7IWvVnH7WwtDul5jkZmWyouXD2PN9t0UFJcxYcZKxn++nDmrtvPVim1Vx6WlppCWmsIzF+fz8aJNTPzm52rn+ddnywA4cf8OjBrUKeC11u0opqC4jLQU4eMfNgY8pi5eelUVAbcAiEgqkONuM8Y0An3cqekP7t6ywefyrzJ69LyD2Cc3i3x3nMEFT3/NtB8DL2vbf58W3DF6fzq1zGJXSXnVNC+BZo5tkRV8sKFvBckthXs8N/g3Nl1aNaNLK7hpZD9enbOGr1Zs48yDOjO0Z2tOHdSx6rhj+3fgsH3bsmj9zoALiF37v3moOglkT3klg9y1XgZ1yQs6f1p9vPSq+p+I5IpIDvAdsEhEbgr7isaYmBrSvRVTbzqm3kZor0470PkGe0y/9lVJA+D5yw4lt0Y10v7uyPhzh3Zj+L5t6N4mJ6S5wYJp2zzTU/fixqx9i71jNY7o25ZzhnarlViz0lN5+5rD6+xZdt3EefS7/YOqpAFUSxo5Gancd+YBIcXlpapqgKruFJFfAe/jlD7mAH8L6UoxYOM4jAks0GJC4Xpg7CB+d0JfcgI0WE+6bgRXvziX79ft5JMbjmTmim386a2FdG1du2RR03OXDqWlTW1SJ9/A0LqMHNiRpy/K57Lngq9FdEy/dvTt0ILfHt+3quMEwHkhxOIlcaSLSDpwOvCoqpaJSELOxW6z4xoTfVnpqfSsY2xF9zY5vHvdCDbt2kOH3Cz2bdecgZ1yOahbq4DH+zuqb7tIh5pUunooXR23XwfOO7Qb//v6Zx4YO4g/vLag1jHPXjI0wCtD4yVx/BtYCcwHpopIdyA2M2kZYxodEamac0tEPCUNU7czDurMm/PWBhzRH8idp+3PzSP7k5edTnmFctx+7WnZLJ2Sskp2FkdmueGwFnISkTRVrb3OZYKwpWONMcmipKyCnSVl1do7oiGUhZy8NI7nueM4ZruPB4H65wAwxhjTYFnpqVFPGqHyMgDwGWAXcLb72Ak8G82gjDHGJC4vbRz7qupZfs/vFJFvoxWQMcaYxOalxFEsIiN8T0TkcKA4eiEZY4xJZF5KHFcB/xUR36id7cBF0QvJGGNMIguaOEQkBeinqgeKSC6AqlpXXGOMacKCVlWpaiXwB/fnnZY0jDHGeGnj+EREbhSRriLS2veIemQuEeklIk+LyGuxuqYxxpi6eUkcv8SZRn0qzhxVcwBPo+tE5BkR2SQiC2tsHykiS0RkmYjcEuwcqrpCVS/zcj1jjDHR52Va9Yasej4BeBT4r2+DOzX7eOAEYA0wS0TeAVKB+2q8/lJVbdgq9sYYYyLKy8jxa0Skpd/zViJytZeTq+pUYFuNzUOBZW5JohR4CRijqt+p6qgaD89JQ0TG+Ua3b9682evLjDHGhMhLVdUVqlq1QoiqbgcaMvtsZ2C13/M17raARKSNiDwBHCQit9Z1nKo+qar5qprfrp3NsmmMMdHiZRxHqoiIurMhulVNGdENay9V3YozlsQYY0wC8FLi+AB4WUSOE5HjgInutnCtBfyXIuvibmswERktIk8WFIS/JKIxxpjgvCSOm4HPgV+7j09xx3aEaRbQR0R6ikgGcA7wTgPOV0VVJ6nquLy8yCxNaYwxpjYvvaoqgcfdR0hEZCJwNNBWRNYAd6jq0yJyLfAhTk+qZ1T1+1DPXcf1bOlYY4yJsnoXchKRPjjdZAcAVZPCq2qv6IYWPlvIyRhjQhPRhZxw1t54HCgHjsEZk/FC+OEZY4xpzLwkjmxV/RSndLJKVf8MnBrdsMJjjePGGBN9XhLHHneW3B9F5FoROQNoHuW4wmKN48YYE31eEsf1QDPgN8AQ4AJsPQ5jjGmyvPSqmuX+WAhcEt1wGsZ6VRljTPTVmTjciQfrpKqnRT6chlHVScCk/Pz8hkyJYowxJohgJY7hOHNKTQS+BiQmERljjElowRLHPjhTn58LnAdMBiZGarCeMcaYxqnOxnFVrVDVD1T1ImAYsAz4wh31nZCsO64xxkRf0F5VIpIpImfiDPi7BvgX8GYsAguHdcc1xpjoC9Y4/l9gIPAecKeqLqzrWGOMMU1HsDaO84EinHEcvxGpahsXQFU1N8qxGWOMSUB1Jg5V9TI4MKHYOA5jjIm+RpccgrE2DmOMib6kShzGGGOizxKHMcaYkFjiMMYYExJLHMYYY0KSVInDRo4bY0z0JVXisF5VxhgTfUmVOIwxxkSfJQ5jjDEhscRhjDEmJJY4jDHGhMQShzHGmJBY4jDGGBOSpEocNo7DGGOiL6kSh43jMMaY6EuqxGGMMSb6LHEYY4wJiSUOY4wxIbHEYYwxJiSWOIwxxoTEEocxxpiQWOIwxhgTEkscxhhjQiKqGu8YIk5EdgFL4h1HFLQFtsQ7iChJ1nuz+2p8kvXe6ruv7qrazsuJ0iITT8JZoqr58Q4i0kRkdjLeFyTvvdl9NT7Jem+RvC+rqjLGGBMSSxzGGGNCkqyJ48l4BxAlyXpfkLz3ZvfV+CTrvUXsvpKycdwYY0z0JGuJwxhjTJRY4jDGGBMSSxzGGGNC0qQSh4gcLSLTROQJETk63vFEkojs597XayLy63jHEyki0ktEnhaR1+IdSyQk2/34JOv7D5L3c0NEjnDv6T8i8mUor200iUNEnhGRTSKysMb2kSKyRESWicgt9ZxGgUIgC1gTrVhDFYl7U9UfVPUq4Gzg8GjG61WE7muFql4W3UgbJpT7bAz34xPifSXc+y+YEN+bCfm5EUiIf7Np7t/sXeC5kC6kqo3iARwJHAws9NuWCiwHegEZwHxgAHCA+8vwf7QHUtzXdQBejPc9RfLe3NecBrwPnBfve4rkfbmvey3e9xOJ+2wM9xPufSXa+y9S95aonxuR+Ju5+18BWoRynUYz5YiqThWRHjU2DwWWqeoKABF5CRijqvcBo4KcbjuQGY04wxGpe1PVd4B3RGQy8L/oRexNhP9mCSuU+wQWxTa68IV6X4n2/gsmxPem72+WUJ8bgYT6NxORbkCBqu4K5TqNJnHUoTOw2u/5GuDQug4WkTOBk4CWwKPRDa3BQr23o4Ezcd7Y70U1soYJ9b7aAPcAB4nIrW6CaQwC3mcjvh+fuu7raBrH+y+Yuu6tMX1uBBLs/9xlwLOhnrCxJ46QqOobwBvxjiMaVPUL4Is4hxFxqroVuCrecURKst2PT7K+/yDpPzfuCOd1jaZxvA5rga5+z7u425JBst5bst5XTcl6n8l6X5C89xbx+2rsiWMW0EdEeopIBnAO8E6cY4qUZL23ZL2vmpL1PpP1viB57y3y9xXvXgAh9BaYCKwHynDq6C5zt58CLMXpNXBbvOO0e0v++2oq95ms95XM9xar+7JJDo0xxoSksVdVGWOMiTFLHMYYY0JiicMYY0xILHEYY4wJiSUOY4wxIbHEYYwxJiSWOEyTJiIVIvKt36O+qfljQkRWish3IpIf5JiLRGRijW1tRWSziGSKyIsisk1ExkY/YtOUNKm5qowJoFhVB0fyhCKSpqrlETjVMaq6Jcj+N4EHRaSZqu52t40FJqnqHuBXIjIhAnEYU42VOIwJwP3Gf6eIzHW/+fd3t+e4i+V8IyLzRGSMu/1iEXlHRD4DPhWRFBF5TEQWi8jHIvKeiIwVkWNF5C2/65wgIm96iGeIiEwRkTki8qGIdFTVncAUYLTfoefgjB42JmoscZimLrtGVdUv/fZtUdWDgceBG91ttwGfqepQ4BjgbyKS4+47GBirqkfhTDHeA2choAuA4e4xnwP9RaSd+/wS4JlgAYpIOvCIe+4h7vH3uLsn4iQLRKQT0Bf4LMTfgTEhsaoq09QFq6ryTaU9BycRAJwInCYivkSSBXRzf/5YVbe5P48AXlXVSmCDiHwOoKoqIs8D54vIszgJ5cJ6YuwHDAQ+FhFwVnRb7+6bDDwmIrk4y7a+rqoV9d20MQ1hicOYuu1x/61g7/8VAc5S1SX+B4rIoUCRx/M+C0wCSnCSS33tIQJ8r6rDa+5Q1WIR+QA4A6fkcYPHGIwJm1VVGROaD4HrxP3qLyIH1XHcDOAst62jA3C0b4eqrgPWAbfjbfW1JUA7ERnuXjNdRPb32z8RJ2F0AGaGdjvGhM4Sh2nqarZx3F/P8XcB6cACEfnefR7I6zjTWi8CXgDmAgV++18EVqvqD/UFqKqlOL2l/ioi84FvgcP8DvkY6AS8rDbdtYkBm1bdmCgRkeaqWuiuM/4NcLiqbnD3PQrMU9Wn63jtSiC/nu64XmKYALyrqq815DzG+LMShzHR866IfAtMA+7ySxpzgNtAOk8AAABOSURBVEE4JZG6bMbp1lvnAMD6iMiLwFE4bSnGRIyVOIwxxoTEShzGGGNCYonDGGNMSCxxGGOMCYklDmOMMSGxxGGMMSYkljiMMcaE5P8BEDhmqGftacMAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f353b5d22b0>"
+       "<matplotlib.figure.Figure at 0x7f6db0ac4f98>"
       ]
      },
      "metadata": {},
@@ -935,9 +886,9 @@
     },
     {
      "data": {
-      "image/png": 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ShwU/7OSh923tCJPa7OZuouVpPQgROVdE/uo+kjoGAhI3WZ8Xgw5rxfWndOGV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\nWCvG/fIk/vLBEiYudNYfuWb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wVghb5743DnhWRBrhLPf5lqqWR7poY2rDEoQxUOL+LOfA\n/wkBLlTVJYE7isixwJ7ATWGOOxIYCxTjJJFI7RUCLFDV46u/oar7RGQC8BOcksRvIhzLmFqzKiZj\ngvsAGC7uV3kROTrEfp8BF7ptEa2AAf43VPUHnPn47wZGeTjnEqCFiBzvnjNHRA4PeH8McAvOmskz\noroaY2rAEoSpK6q3QTwaYf8HgBzgGxGZ774O5j840y3PB/4BfAHsCHj/NWC1HljvOCRV3Y/TO+lP\nIjIXmAOcELDLh0Ab4N9q0zCbBLDpvo2pJRFpoKq73XWovwROVNX17ntPA1+r6oshPrsSKIrQzdVL\nDKOAcar6Vm2OY0wgK0EYU3vjRGQO8CnwQEBymAX0Bl4N89lNwKRwA+UiEZHXgFNx2jqMiRkrQRhj\njAnKShDGGGOCsgRhjDEmKEsQxhhjgrIEYYwxJihLEMYYY4KyBGGMMSao/wcNeDRljfvF4QAAAABJ\nRU5ErkJggg==\n",
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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f353ad687b8>"
+       "<matplotlib.figure.Figure at 0x7f6d86493fd0>"
       ]
      },
      "metadata": {},
@@ -945,9 +896,9 @@
     },
     {
      "data": {
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WbdjGbj06JSjStpHoK44KM7sWOA94PHzeIi37ubn7NHefWFpamupQRCTNFeXn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\nuChxiIhIXJQ4REQkLkocIiISl/8PMcPiun1YM38AAAAASUVORK5CYII=\n",
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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f353b246048>"
+       "<matplotlib.figure.Figure at 0x7f6db067e390>"
       ]
      },
      "metadata": {},
@@ -991,7 +942,6 @@
    "cell_type": "code",
    "execution_count": 32,
    "metadata": {
-    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
@@ -1025,11 +975,11 @@
       "                                     %%%%%%%%%%%\n",
       "\n",
       "                   | The OpenMC Monte Carlo Code\n",
-      "         Copyright | 2011-2017 Massachusetts Institute of Technology\n",
+      "         Copyright | 2011-2018 Massachusetts Institute of Technology\n",
       "           License | http://openmc.readthedocs.io/en/latest/license.html\n",
-      "           Version | 0.8.0\n",
-      "          Git SHA1 | 4b01fd311461f1350989cb84ec18fe2cbaa8fa9f\n",
-      "         Date/Time | 2017-03-10 17:31:49\n",
+      "           Version | 0.10.0\n",
+      "          Git SHA1 | 6c2d82a4d7dfe10312329d5969568fc03a698416\n",
+      "         Date/Time | 2018-04-22 15:04:03\n",
       "    OpenMP Threads | 8\n",
       "\n",
       "\n",
@@ -1038,23 +988,13 @@
       "\n",
       " ============================>     RESULTS     <============================\n",
       "\n",
-      " k-effective (Collision)     =  1.16235 +/-  0.00111\n",
-      " k-effective (Track-length)  =  1.16345 +/-  0.00134\n",
-      " k-effective (Absorption)    =  1.16397 +/-  0.00058\n",
-      " Combined k-effective        =  1.16388 +/-  0.00058\n",
+      " k-effective (Collision)     =  1.16541 +/-  0.00086\n",
+      " k-effective (Track-length)  =  1.16590 +/-  0.00096\n",
+      " k-effective (Absorption)    =  1.16469 +/-  0.00046\n",
+      " Combined k-effective        =  1.16480 +/-  0.00045\n",
       " Leakage Fraction            =  0.00000 +/-  0.00000\n",
       "\n"
      ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "0"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -1075,9 +1015,7 @@
   {
    "cell_type": "code",
    "execution_count": 33,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Move the StatePoint File\n",
@@ -1108,9 +1046,7 @@
   {
    "cell_type": "code",
    "execution_count": 34,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "ce_keff = sp.k_combined"
@@ -1126,26 +1062,24 @@
   {
    "cell_type": "code",
    "execution_count": 35,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Continuous-Energy keff = 1.165379\n",
-      "Multi-Group keff = 1.163885\n",
-      "bias [pcm]: 149.4\n"
+      "Continuous-Energy keff = 1.164600+/-0.000677\n",
+      "Multi-Group keff = 1.164805+/-0.000448\n",
+      "bias [pcm]: -20.4\n"
      ]
     }
    ],
    "source": [
-    "bias = 1.0E5 * (ce_keff[0] - mg_keff[0])\n",
+    "bias = 1.0E5 * (ce_keff - mg_keff)\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))"
+    "print('Continuous-Energy keff = {0:1.6f}'.format(ce_keff))\n",
+    "print('Multi-Group keff = {0:1.6f}'.format(mg_keff))\n",
+    "print('bias [pcm]: {0:1.1f}'.format(bias.nominal_value))"
    ]
   },
   {
@@ -1174,9 +1108,7 @@
   {
    "cell_type": "code",
    "execution_count": 36,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Get the OpenMC fission rate mesh tally data\n",
@@ -1200,9 +1132,7 @@
   {
    "cell_type": "code",
    "execution_count": 37,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Get the OpenMC fission rate mesh tally data\n",
@@ -1226,14 +1156,12 @@
   {
    "cell_type": "code",
    "execution_count": 38,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.text.Text at 0x7f353b227780>"
+       "<matplotlib.text.Text at 0x7f6db0a885c0>"
       ]
      },
      "execution_count": 38,
@@ -1242,9 +1170,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f353b2310f0>"
+       "<matplotlib.figure.Figure at 0x7f6db069cb38>"
       ]
      },
      "metadata": {},
@@ -1304,9 +1232,7 @@
   {
    "cell_type": "code",
    "execution_count": 39,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Set the maximum scattering order to 0 (i.e., isotropic scattering)\n",
@@ -1326,9 +1252,7 @@
   {
    "cell_type": "code",
    "execution_count": 40,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1360,11 +1284,11 @@
       "                                     %%%%%%%%%%%\n",
       "\n",
       "                   | The OpenMC Monte Carlo Code\n",
-      "         Copyright | 2011-2017 Massachusetts Institute of Technology\n",
+      "         Copyright | 2011-2018 Massachusetts Institute of Technology\n",
       "           License | http://openmc.readthedocs.io/en/latest/license.html\n",
-      "           Version | 0.8.0\n",
-      "          Git SHA1 | 4b01fd311461f1350989cb84ec18fe2cbaa8fa9f\n",
-      "         Date/Time | 2017-03-10 17:32:18\n",
+      "           Version | 0.10.0\n",
+      "          Git SHA1 | 6c2d82a4d7dfe10312329d5969568fc03a698416\n",
+      "         Date/Time | 2018-04-22 15:04:39\n",
       "    OpenMP Threads | 8\n",
       "\n",
       "\n",
@@ -1373,23 +1297,13 @@
       "\n",
       " ============================>     RESULTS     <============================\n",
       "\n",
-      " k-effective (Collision)     =  1.16104 +/-  0.00109\n",
-      " k-effective (Track-length)  =  1.16004 +/-  0.00125\n",
-      " k-effective (Absorption)    =  1.16297 +/-  0.00061\n",
-      " Combined k-effective        =  1.16273 +/-  0.00061\n",
+      " k-effective (Collision)     =  1.16379 +/-  0.00090\n",
+      " k-effective (Track-length)  =  1.16469 +/-  0.00101\n",
+      " k-effective (Absorption)    =  1.16315 +/-  0.00052\n",
+      " Combined k-effective        =  1.16335 +/-  0.00050\n",
       " Leakage Fraction            =  0.00000 +/-  0.00000\n",
       "\n"
      ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "0"
-      ]
-     },
-     "execution_count": 40,
-     "metadata": {},
-     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -1407,16 +1321,14 @@
   {
    "cell_type": "code",
    "execution_count": 41,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "P3 bias [pcm]: 149.4\n",
-      "P0 bias [pcm]: 265.3\n"
+      "P3 bias [pcm]: -20.4\n",
+      "P0 bias [pcm]: 125.1\n"
      ]
     }
    ],
@@ -1434,10 +1346,10 @@
     "# Get keff\n",
     "mg_p0_keff = mgsp_p0.k_combined\n",
     "\n",
-    "bias_p0 = 1.0E5 * (ce_keff[0] - mg_p0_keff[0])\n",
+    "bias_p0 = 1.0E5 * (ce_keff - mg_p0_keff)\n",
     "\n",
-    "print('P3 bias [pcm]: {0:1.1f}'.format(bias))\n",
-    "print('P0 bias [pcm]: {0:1.1f}'.format(bias_p0))"
+    "print('P3 bias [pcm]: {0:1.1f}'.format(bias.nominal_value))\n",
+    "print('P0 bias [pcm]: {0:1.1f}'.format(bias_p0.nominal_value))"
    ]
   },
   {
@@ -1453,9 +1365,7 @@
   {
    "cell_type": "code",
    "execution_count": 42,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Convert the zircaloy and fuel data to P0 scattering\n",
@@ -1474,9 +1384,7 @@
   {
    "cell_type": "code",
    "execution_count": 43,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Convert the formats as discussed\n",
@@ -1501,9 +1409,7 @@
   {
    "cell_type": "code",
    "execution_count": 44,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1535,11 +1441,11 @@
       "                                     %%%%%%%%%%%\n",
       "\n",
       "                   | The OpenMC Monte Carlo Code\n",
-      "         Copyright | 2011-2017 Massachusetts Institute of Technology\n",
+      "         Copyright | 2011-2018 Massachusetts Institute of Technology\n",
       "           License | http://openmc.readthedocs.io/en/latest/license.html\n",
-      "           Version | 0.8.0\n",
-      "          Git SHA1 | 4b01fd311461f1350989cb84ec18fe2cbaa8fa9f\n",
-      "         Date/Time | 2017-03-10 17:32:48\n",
+      "           Version | 0.10.0\n",
+      "          Git SHA1 | 6c2d82a4d7dfe10312329d5969568fc03a698416\n",
+      "         Date/Time | 2018-04-22 15:05:16\n",
       "    OpenMP Threads | 8\n",
       "\n",
       "\n",
@@ -1548,23 +1454,13 @@
       "\n",
       " ============================>     RESULTS     <============================\n",
       "\n",
-      " k-effective (Collision)     =  1.16348 +/-  0.00117\n",
-      " k-effective (Track-length)  =  1.16263 +/-  0.00133\n",
-      " k-effective (Absorption)    =  1.16485 +/-  0.00063\n",
-      " Combined k-effective        =  1.16459 +/-  0.00061\n",
+      " k-effective (Collision)     =  1.16471 +/-  0.00093\n",
+      " k-effective (Track-length)  =  1.16412 +/-  0.00106\n",
+      " k-effective (Absorption)    =  1.16449 +/-  0.00050\n",
+      " Combined k-effective        =  1.16441 +/-  0.00049\n",
       " Leakage Fraction            =  0.00000 +/-  0.00000\n",
       "\n"
      ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "0"
-      ]
-     },
-     "execution_count": 44,
-     "metadata": {},
-     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -1587,16 +1483,14 @@
   {
    "cell_type": "code",
    "execution_count": 45,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "P3 bias [pcm]: 149.4\n",
-      "Mixed Scattering bias [pcm]: 79.0\n"
+      "P3 bias [pcm]: -20.4\n",
+      "Mixed Scattering bias [pcm]: 19.5\n"
      ]
     }
    ],
@@ -1605,16 +1499,17 @@
     "mgsp_mixed = openmc.StatePoint('./statepoint.' + str(batches) + '.h5')\n",
     "\n",
     "mg_mixed_keff = mgsp_mixed.k_combined\n",
-    "bias_mixed = 1.0E5 * (ce_keff[0] - mg_mixed_keff[0])\n",
+    "bias_mixed = 1.0E5 * (ce_keff - mg_mixed_keff)\n",
     "\n",
-    "print('P3 bias [pcm]: {0:1.1f}'.format(bias))\n",
-    "print('Mixed Scattering bias [pcm]: {0:1.1f}'.format(bias_mixed))"
+    "print('P3 bias [pcm]: {0:1.1f}'.format(bias.nominal_value))\n",
+    "print('Mixed Scattering bias [pcm]: {0:1.1f}'.format(bias_mixed.nominal_value))"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "\n",
     "Our tests in this section showed the flexibility of data formatting within OpenMC's multi-group mode: every material can be represented with its own format with the approximations that make the most sense. Now, as you'll see above, the runtimes from our P3, P0, and mixed cases are not significantly different and therefore this might not be a useful strategy for multi-group Monte Carlo.  However, this capability provides a useful benchmark for the accuracy hit one may expect due to these scattering approximations before implementing this generality in a deterministic solver where the runtime savings are more significant.\n",
     "\n",
     "**NOTE**: The biases obtained above with P3, P0, and mixed representations do not necessarily reflect the inherent accuracies of the options. These cases were *not* run with a sufficient number of histories to truly differentiate methods improvement from statistical noise."
@@ -1623,9 +1518,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "openmc",
    "language": "python",
-   "name": "python3"
+   "name": "openmc"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1637,9 +1532,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.0"
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/examples/jupyter/mg-mode-part-iii.ipynb b/examples/jupyter/mg-mode-part-iii.ipynb
index c36ecd54af..2f37070c14 100644
--- a/examples/jupyter/mg-mode-part-iii.ipynb
+++ b/examples/jupyter/mg-mode-part-iii.ipynb
@@ -23,9 +23,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import os\n",
@@ -48,9 +46,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Instantiate some elements\n",
@@ -74,9 +70,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "materials = {}\n",
@@ -127,9 +121,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Instantiate a Materials object\n",
@@ -156,9 +148,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Set constants for the problem and assembly dimensions\n",
@@ -207,9 +197,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Set regions for geometry building\n",
@@ -253,9 +241,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "universes = {}\n",
@@ -295,9 +281,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create fuel assembly Lattice\n",
@@ -336,9 +320,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# The top portion of the blade, poisoned with B4C\n",
@@ -372,9 +354,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create root Universe\n",
@@ -396,15 +376,23 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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VX1Xv3ch2k1PbyN/2jDx7Zl51do6Ru0pmVrkd3JTLBmvldtS1Fp+laz2O/GZ2XFO3/9oE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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fa57f5fb668>"
+       "<matplotlib.image.AxesImage at 0x7f0268ed79b0>"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f02ac5d2ac8>"
       ]
      },
      "metadata": {},
@@ -435,9 +423,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create Geometry and set root universe\n",
@@ -459,9 +445,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# OpenMC simulation parameters\n",
@@ -498,9 +482,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Instantiate a 2-group EnergyGroups object\n",
@@ -518,9 +500,7 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Initialize a 2-group Isotropic MGXS Library for OpenMC\n",
@@ -541,9 +521,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Specify multi-group cross section types to compute\n",
@@ -563,9 +541,7 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Instantiate a tally Mesh\n",
@@ -598,9 +574,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Set the scattering format to histogram and then define the number of bins\n",
@@ -630,9 +604,7 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Let's repeat all of the above for an angular MGXS library so we can gather\n",
@@ -662,9 +634,7 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Check the libraries - if no errors are raised, then the library is satisfactory.\n",
@@ -684,15 +654,13 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/romano/openmc/openmc/mgxs/mgxs.py:4106: UserWarning: The legendre order will be ignored since the scatter format is set to histogram\n",
+      "/home/nelsonag/git/openmc/openmc/mgxs/mgxs.py:4116: UserWarning: The legendre order will be ignored since the scatter format is set to histogram\n",
       "  warnings.warn(msg)\n"
      ]
     }
@@ -713,9 +681,7 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create a \"tallies.xml\" file for the MGXS Library\n",
@@ -734,27 +700,25 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/romano/openmc/openmc/mixin.py:61: IDWarning: Another MeshFilter instance already exists with id=1.\n",
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Filter instance already exists with id=1.\n",
       "  warn(msg, IDWarning)\n",
-      "/home/romano/openmc/openmc/mixin.py:61: IDWarning: Another EnergyFilter instance already exists with id=2.\n",
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Filter instance already exists with id=2.\n",
       "  warn(msg, IDWarning)\n",
-      "/home/romano/openmc/openmc/mixin.py:61: IDWarning: Another EnergyoutFilter instance already exists with id=11.\n",
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Filter instance already exists with id=11.\n",
       "  warn(msg, IDWarning)\n",
-      "/home/romano/openmc/openmc/mixin.py:61: IDWarning: Another PolarFilter instance already exists with id=21.\n",
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Filter instance already exists with id=21.\n",
       "  warn(msg, IDWarning)\n",
-      "/home/romano/openmc/openmc/mixin.py:61: IDWarning: Another AzimuthalFilter instance already exists with id=22.\n",
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Filter instance already exists with id=22.\n",
       "  warn(msg, IDWarning)\n",
-      "/home/romano/openmc/openmc/mixin.py:61: IDWarning: Another MuFilter instance already exists with id=12.\n",
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Filter instance already exists with id=12.\n",
       "  warn(msg, IDWarning)\n",
-      "/home/romano/openmc/openmc/mixin.py:61: IDWarning: Another EnergyFilter instance already exists with id=18.\n",
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Filter instance already exists with id=18.\n",
       "  warn(msg, IDWarning)\n"
      ]
     }
@@ -787,9 +751,7 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -821,12 +783,12 @@
       "                                     %%%%%%%%%%%\n",
       "\n",
       "                   | The OpenMC Monte Carlo Code\n",
-      "         Copyright | 2011-2017 Massachusetts Institute of Technology\n",
+      "         Copyright | 2011-2018 Massachusetts Institute of Technology\n",
       "           License | http://openmc.readthedocs.io/en/latest/license.html\n",
-      "           Version | 0.9.0\n",
-      "          Git SHA1 | da61fb4a55e1feaa127799ad9293a766161fbb3e\n",
-      "         Date/Time | 2017-12-11 16:57:27\n",
-      "    OpenMP Threads | 4\n",
+      "           Version | 0.10.0\n",
+      "          Git SHA1 | 6c2d82a4d7dfe10312329d5969568fc03a698416\n",
+      "         Date/Time | 2018-04-24 19:15:17\n",
+      "    OpenMP Threads | 8\n",
       "\n",
       "\n",
       " ====================>     K EIGENVALUE SIMULATION     <====================\n",
@@ -841,16 +803,6 @@
       " Leakage Fraction            =  0.00000 +/-  0.00000\n",
       "\n"
      ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "0"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -868,9 +820,7 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Move the StatePoint File\n",
@@ -893,9 +843,7 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Load the statepoint file, but not the summary file, as it is a different filename than expected.\n",
@@ -912,9 +860,7 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "su = openmc.Summary(ce_sumfile)\n",
@@ -931,9 +877,7 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Initialize MGXS Library with OpenMC statepoint data\n",
@@ -970,21 +914,13 @@
   {
    "cell_type": "code",
    "execution_count": 29,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/romano/openmc/openmc/tallies.py:1798: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  self_rel_err = data['self']['std. dev.'] / data['self']['mean']\n",
-      "/home/romano/openmc/openmc/tallies.py:1799: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  other_rel_err = data['other']['std. dev.'] / data['other']['mean']\n",
-      "/home/romano/openmc/openmc/tallies.py:1800: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  new_tally._mean = data['self']['mean'] / data['other']['mean']\n",
-      "/home/romano/openmc/openmc/mixin.py:61: IDWarning: Another Universe instance already exists with id=0.\n",
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Universe instance already exists with id=0.\n",
       "  warn(msg, IDWarning)\n"
      ]
     }
@@ -1013,9 +949,7 @@
   {
    "cell_type": "code",
    "execution_count": 30,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Set the energy mode\n",
@@ -1035,16 +969,14 @@
   {
    "cell_type": "code",
    "execution_count": 31,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create a \"tallies.xml\" file for the MGXS Library\n",
     "tallies_file = openmc.Tallies()\n",
     "\n",
     "# Add our fission rate mesh tally\n",
-    "tallies_file.add_tally(tally)\n",
+    "tallies_file.append(tally)\n",
     "\n",
     "# Export to \"tallies.xml\"\n",
     "tallies_file.export_to_xml()"
@@ -1060,15 +992,23 @@
   {
    "cell_type": "code",
    "execution_count": 32,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fa57b253ba8>"
+       "<matplotlib.image.AxesImage at 0x7f029dbfc160>"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f026b6877b8>"
       ]
      },
      "metadata": {},
@@ -1093,9 +1033,7 @@
   {
    "cell_type": "code",
    "execution_count": 33,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1127,12 +1065,12 @@
       "                                     %%%%%%%%%%%\n",
       "\n",
       "                   | The OpenMC Monte Carlo Code\n",
-      "         Copyright | 2011-2017 Massachusetts Institute of Technology\n",
+      "         Copyright | 2011-2018 Massachusetts Institute of Technology\n",
       "           License | http://openmc.readthedocs.io/en/latest/license.html\n",
-      "           Version | 0.9.0\n",
-      "          Git SHA1 | da61fb4a55e1feaa127799ad9293a766161fbb3e\n",
-      "         Date/Time | 2017-12-11 17:00:35\n",
-      "    OpenMP Threads | 4\n",
+      "           Version | 0.10.0\n",
+      "          Git SHA1 | 6c2d82a4d7dfe10312329d5969568fc03a698416\n",
+      "         Date/Time | 2018-04-24 19:16:03\n",
+      "    OpenMP Threads | 8\n",
       "\n",
       "\n",
       " ====================>     K EIGENVALUE SIMULATION     <====================\n",
@@ -1147,16 +1085,6 @@
       " Leakage Fraction            =  0.00000 +/-  0.00000\n",
       "\n"
      ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "0"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -1174,9 +1102,7 @@
   {
    "cell_type": "code",
    "execution_count": 34,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Move the StatePoint File\n",
@@ -1201,21 +1127,13 @@
   {
    "cell_type": "code",
    "execution_count": 35,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/romano/openmc/openmc/tallies.py:1798: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  self_rel_err = data['self']['std. dev.'] / data['self']['mean']\n",
-      "/home/romano/openmc/openmc/tallies.py:1799: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  other_rel_err = data['other']['std. dev.'] / data['other']['mean']\n",
-      "/home/romano/openmc/openmc/tallies.py:1800: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  new_tally._mean = data['self']['mean'] / data['other']['mean']\n",
-      "/home/romano/openmc/openmc/mixin.py:61: IDWarning: Another Universe instance already exists with id=0.\n",
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Universe instance already exists with id=0.\n",
       "  warn(msg, IDWarning)\n"
      ]
     }
@@ -1237,9 +1155,7 @@
   {
    "cell_type": "code",
    "execution_count": 36,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1271,12 +1187,12 @@
       "                                     %%%%%%%%%%%\n",
       "\n",
       "                   | The OpenMC Monte Carlo Code\n",
-      "         Copyright | 2011-2017 Massachusetts Institute of Technology\n",
+      "         Copyright | 2011-2018 Massachusetts Institute of Technology\n",
       "           License | http://openmc.readthedocs.io/en/latest/license.html\n",
-      "           Version | 0.9.0\n",
-      "          Git SHA1 | da61fb4a55e1feaa127799ad9293a766161fbb3e\n",
-      "         Date/Time | 2017-12-11 17:00:59\n",
-      "    OpenMP Threads | 4\n",
+      "           Version | 0.10.0\n",
+      "          Git SHA1 | 6c2d82a4d7dfe10312329d5969568fc03a698416\n",
+      "         Date/Time | 2018-04-24 19:16:12\n",
+      "    OpenMP Threads | 8\n",
       "\n",
       "\n",
       " ====================>     K EIGENVALUE SIMULATION     <====================\n",
@@ -1291,16 +1207,6 @@
       " Leakage Fraction            =  0.00000 +/-  0.00000\n",
       "\n"
      ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "0"
-      ]
-     },
-     "execution_count": 36,
-     "metadata": {},
-     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -1321,9 +1227,7 @@
   {
    "cell_type": "code",
    "execution_count": 37,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Load the isotropic statepoint file\n",
@@ -1346,9 +1250,7 @@
   {
    "cell_type": "code",
    "execution_count": 38,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "ce_keff = sp.k_combined\n",
@@ -1356,8 +1258,8 @@
     "angle_mg_keff = angle_mgsp.k_combined\n",
     "\n",
     "# Find eigenvalue bias\n",
-    "iso_bias = 1.0E5 * (ce_keff[0] - iso_mg_keff[0])\n",
-    "angle_bias = 1.0E5 * (ce_keff[0] - angle_mg_keff[0])"
+    "iso_bias = 1.0E5 * (ce_keff - iso_mg_keff)\n",
+    "angle_bias = 1.0E5 * (ce_keff - angle_mg_keff)"
    ]
   },
   {
@@ -1370,9 +1272,7 @@
   {
    "cell_type": "code",
    "execution_count": 39,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1384,8 +1284,8 @@
     }
    ],
    "source": [
-    "print('Isotropic to CE Bias [pcm]: {0:1.1f}'.format(iso_bias))\n",
-    "print('Angle to CE Bias [pcm]: {0:1.1f}'.format(angle_bias))"
+    "print('Isotropic to CE Bias [pcm]: {0:1.1f}'.format(iso_bias.nominal_value))\n",
+    "print('Angle to CE Bias [pcm]: {0:1.1f}'.format(angle_bias.nominal_value))"
    ]
   },
   {
@@ -1408,15 +1308,14 @@
    "cell_type": "code",
    "execution_count": 40,
    "metadata": {
-    "collapsed": false,
     "scrolled": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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D8gPDo6PH8LkmB54FvI2SGwdT9od3+2FlczTviZT90JWUXPl7Zv6CBrBvk9MbKVdH+QPK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\nWs2CV5IkSa32/wGc6m/qpQozXgAAAABJRU5ErkJggg==\n",
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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fa57f1896d8>"
+       "<matplotlib.figure.Figure at 0x7f029cadaf60>"
       ]
      },
      "metadata": {},
@@ -1466,14 +1365,12 @@
   {
    "cell_type": "code",
    "execution_count": 41,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.colorbar.Colorbar at 0x7fa57ef69e48>"
+       "<matplotlib.colorbar.Colorbar at 0x7f026b654240>"
       ]
      },
      "execution_count": 41,
@@ -1482,9 +1379,9 @@
     },
     {
      "data": {
-      "image/png": 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KDHvfJ/kQ8PlBduQTKSVJkrTeAqrpHsCpwBFJPklzI+UNE+q571ZmOKHm+/nA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\n9wIurqpLqup24JPA/rMZQFWdCVw7m/u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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fa57f04c9e8>"
+       "<matplotlib.figure.Figure at 0x7f029cada7b8>"
       ]
      },
      "metadata": {},
@@ -1520,9 +1417,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "openmc",
    "language": "python",
-   "name": "python3"
+   "name": "openmc"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1534,9 +1431,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.0"
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/examples/jupyter/mgxs-part-iii.ipynb b/examples/jupyter/mgxs-part-iii.ipynb
index 450276c89f..4171486a81 100644
--- a/examples/jupyter/mgxs-part-iii.ipynb
+++ b/examples/jupyter/mgxs-part-iii.ipynb
@@ -24,17 +24,15 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/wbinventor/miniconda3/lib/python3.5/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",
+      "/home/nelsonag/python/openmc/lib/python3.6/site-packages/matplotlib/__init__.py:1405: UserWarning: \n",
+      "This call to matplotlib.use() has no effect because the backend has already\n",
+      "been chosen; matplotlib.use() must be called *before* pylab, matplotlib.pyplot,\n",
       "or matplotlib.backends is imported for the first time.\n",
       "\n",
       "  warnings.warn(_use_error_msg)\n"
@@ -68,10 +66,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# 1.6 enriched fuel\n",
@@ -103,10 +99,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 3,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Instantiate a Materials object\n",
@@ -125,10 +119,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create cylinders for the fuel and clad\n",
@@ -153,10 +145,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create a Universe to encapsulate a fuel pin\n",
@@ -190,10 +180,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create a Universe to encapsulate a control rod guide tube\n",
@@ -227,10 +215,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create fuel assembly Lattice\n",
@@ -248,10 +234,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 8,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create array indices for guide tube locations in lattice\n",
@@ -280,10 +264,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 9,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create root Cell\n",
@@ -307,10 +289,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 10,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create Geometry and set root Universe\n",
@@ -319,10 +299,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 11,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Export to \"geometry.xml\"\n",
@@ -338,16 +316,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 12,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# OpenMC simulation parameters\n",
     "batches = 50\n",
     "inactive = 10\n",
-    "particles = 2500\n",
+    "particles = 10000\n",
     "\n",
     "# Instantiate a Settings object\n",
     "settings_file = openmc.Settings()\n",
@@ -374,10 +350,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 13,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Instantiate a Plot\n",
@@ -402,22 +376,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# Run openmc in plotting mode\n",
     "openmc.plot_geometry(output=False)"
@@ -425,19 +386,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 15,
+   "metadata": {},
    "outputs": [
     {
      "data": {
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       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -473,10 +432,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 16,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Instantiate a 2-group EnergyGroups object\n",
@@ -493,10 +450,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 17,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Initialize a 2-group MGXS Library for OpenMOC\n",
@@ -526,21 +481,19 @@
     "* `ChiDelayed` (`\"chi-delayed\"`)\n",
     "* `Beta` (`\"beta\"`)\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\"`, `'\"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 `\"nu-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`."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 18,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Specify multi-group cross section types to compute\n",
-    "mgxs_lib.mgxs_types = ['transport', 'nu-fission', 'fission', 'nu-scatter matrix', 'chi']"
+    "mgxs_lib.mgxs_types = ['nu-transport', 'nu-fission', 'fission', 'nu-scatter matrix', 'chi']"
    ]
   },
   {
@@ -554,10 +507,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 19,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Specify a \"cell\" domain type for the cross section tally filters\n",
@@ -576,10 +527,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 20,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Compute cross sections on a nuclide-by-nuclide basis\n",
@@ -595,10 +544,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 21,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Construct all tallies needed for the multi-group cross section library\n",
@@ -616,10 +563,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 22,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create a \"tallies.xml\" file for the MGXS Library\n",
@@ -636,10 +581,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 23,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Instantiate a tally Mesh\n",
@@ -663,11 +606,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Filter instance already exists with id=126.\n",
+      "  warn(msg, IDWarning)\n",
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Filter instance already exists with id=21.\n",
+      "  warn(msg, IDWarning)\n",
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Filter instance already exists with id=2.\n",
+      "  warn(msg, IDWarning)\n",
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Filter instance already exists with id=3.\n",
+      "  warn(msg, IDWarning)\n",
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Filter instance already exists with id=4.\n",
+      "  warn(msg, IDWarning)\n",
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Filter instance already exists with id=96.\n",
+      "  warn(msg, IDWarning)\n",
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Filter instance already exists with id=15.\n",
+      "  warn(msg, IDWarning)\n",
+      "/home/nelsonag/git/openmc/openmc/mixin.py:71: IDWarning: Another Filter instance already exists with id=114.\n",
+      "  warn(msg, IDWarning)\n"
+     ]
+    }
+   ],
    "source": [
     "# Export all tallies to a \"tallies.xml\" file\n",
     "tallies_file.export_to_xml()"
@@ -675,10 +639,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 25,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -710,137 +672,111 @@
       "                                     %%%%%%%%%%%\n",
       "\n",
       "                   | The OpenMC Monte Carlo Code\n",
-      "         Copyright | 2011-2017 Massachusetts Institute of Technology\n",
+      "         Copyright | 2011-2018 Massachusetts Institute of Technology\n",
       "           License | http://openmc.readthedocs.io/en/latest/license.html\n",
-      "           Version | 0.8.0\n",
-      "          Git SHA1 | 647bf77a57a3cc5cce24b39cb192e1b99f52e499\n",
-      "         Date/Time | 2017-02-27 14:21:38\n",
-      "    OpenMP Threads | 4\n",
-      "\n",
-      " ===========================================================================\n",
-      " ========================>     INITIALIZATION     <=========================\n",
-      " ===========================================================================\n",
+      "           Version | 0.10.0\n",
+      "          Git SHA1 | 6c2d82a4d7dfe10312329d5969568fc03a698416\n",
+      "         Date/Time | 2018-04-24 19:20:48\n",
+      "    OpenMP Threads | 8\n",
       "\n",
       " Reading settings XML file...\n",
-      " Reading geometry XML file...\n",
-      " Reading materials XML file...\n",
       " Reading cross sections XML file...\n",
-      " Reading U235 from\n",
-      " /home/wbinventor/Documents/NSE-CRPG-Codes/openmc/data/nndc_hdf5/U235.h5\n",
-      " Reading U238 from\n",
-      " /home/wbinventor/Documents/NSE-CRPG-Codes/openmc/data/nndc_hdf5/U238.h5\n",
-      " Reading O16 from\n",
-      " /home/wbinventor/Documents/NSE-CRPG-Codes/openmc/data/nndc_hdf5/O16.h5\n",
-      " Reading H1 from\n",
-      " /home/wbinventor/Documents/NSE-CRPG-Codes/openmc/data/nndc_hdf5/H1.h5\n",
-      " Reading B10 from\n",
-      " /home/wbinventor/Documents/NSE-CRPG-Codes/openmc/data/nndc_hdf5/B10.h5\n",
-      " Reading Zr90 from\n",
-      " /home/wbinventor/Documents/NSE-CRPG-Codes/openmc/data/nndc_hdf5/Zr90.h5\n",
+      " Reading materials XML file...\n",
+      " Reading geometry XML file...\n",
+      " Building neighboring cells lists for each surface...\n",
+      " Reading U235 from /opt/xsdata/nndc/U235.h5\n",
+      " Reading U238 from /opt/xsdata/nndc/U238.h5\n",
+      " Reading O16 from /opt/xsdata/nndc/O16.h5\n",
+      " Reading H1 from /opt/xsdata/nndc/H1.h5\n",
+      " Reading B10 from /opt/xsdata/nndc/B10.h5\n",
+      " Reading Zr90 from /opt/xsdata/nndc/Zr90.h5\n",
       " Maximum neutron transport energy: 2.00000E+07 eV for U235\n",
       " Reading tallies XML file...\n",
-      " Building neighboring cells lists for each surface...\n",
+      " Writing summary.h5 file...\n",
       " Initializing source particles...\n",
       "\n",
-      " ===========================================================================\n",
       " ====================>     K EIGENVALUE SIMULATION     <====================\n",
-      " ===========================================================================\n",
       "\n",
       "  Bat./Gen.      k            Average k         \n",
       "  =========   ========   ====================   \n",
-      "        1/1    1.03852                       \n",
-      "        2/1    0.99743                       \n",
-      "        3/1    1.02987                       \n",
-      "        4/1    1.04397                       \n",
-      "        5/1    1.06262                       \n",
-      "        6/1    1.06657                       \n",
-      "        7/1    0.98574                       \n",
-      "        8/1    1.04364                       \n",
-      "        9/1    1.01253                       \n",
-      "       10/1    1.02094                       \n",
-      "       11/1    0.99586                       \n",
-      "       12/1    1.00508    1.00047 +/- 0.00461\n",
-      "       13/1    1.05292    1.01795 +/- 0.01769\n",
-      "       14/1    1.04732    1.02530 +/- 0.01450\n",
-      "       15/1    1.04886    1.03001 +/- 0.01218\n",
-      "       16/1    1.00948    1.02659 +/- 0.01052\n",
-      "       17/1    1.02684    1.02662 +/- 0.00889\n",
-      "       18/1    0.97234    1.01984 +/- 0.01026\n",
-      "       19/1    0.99754    1.01736 +/- 0.00938\n",
-      "       20/1    0.98964    1.01459 +/- 0.00884\n",
-      "       21/1    1.04140    1.01703 +/- 0.00836\n",
-      "       22/1    1.03854    1.01882 +/- 0.00784\n",
-      "       23/1    1.05917    1.02192 +/- 0.00785\n",
-      "       24/1    1.02413    1.02208 +/- 0.00727\n",
-      "       25/1    1.03113    1.02268 +/- 0.00679\n",
-      "       26/1    1.05113    1.02446 +/- 0.00660\n",
-      "       27/1    1.03252    1.02494 +/- 0.00622\n",
-      "       28/1    1.05196    1.02644 +/- 0.00605\n",
-      "       29/1    0.99663    1.02487 +/- 0.00593\n",
-      "       30/1    1.01820    1.02454 +/- 0.00564\n",
-      "       31/1    1.02753    1.02468 +/- 0.00537\n",
-      "       32/1    1.02162    1.02454 +/- 0.00512\n",
-      "       33/1    1.04083    1.02525 +/- 0.00494\n",
-      "       34/1    1.03335    1.02558 +/- 0.00474\n",
-      "       35/1    1.01304    1.02508 +/- 0.00458\n",
-      "       36/1    0.99299    1.02385 +/- 0.00457\n",
-      "       37/1    1.04936    1.02479 +/- 0.00450\n",
-      "       38/1    1.02856    1.02493 +/- 0.00433\n",
-      "       39/1    1.03706    1.02535 +/- 0.00420\n",
-      "       40/1    1.08118    1.02721 +/- 0.00447\n",
-      "       41/1    1.00149    1.02638 +/- 0.00440\n",
-      "       42/1    1.00233    1.02563 +/- 0.00433\n",
-      "       43/1    1.03023    1.02577 +/- 0.00419\n",
-      "       44/1    1.03230    1.02596 +/- 0.00407\n",
-      "       45/1    0.98123    1.02468 +/- 0.00416\n",
-      "       46/1    1.02126    1.02458 +/- 0.00404\n",
-      "       47/1    0.99772    1.02386 +/- 0.00400\n",
-      "       48/1    1.02773    1.02396 +/- 0.00389\n",
-      "       49/1    1.01690    1.02378 +/- 0.00379\n",
-      "       50/1    1.02890    1.02391 +/- 0.00370\n",
+      "        1/1    1.03784                       \n",
+      "        2/1    1.02297                       \n",
+      "        3/1    1.02244                       \n",
+      "        4/1    1.02344                       \n",
+      "        5/1    1.02057                       \n",
+      "        6/1    1.04077                       \n",
+      "        7/1    1.00795                       \n",
+      "        8/1    1.02418                       \n",
+      "        9/1    1.02241                       \n",
+      "       10/1    1.03731                       \n",
+      "       11/1    1.01477                       \n",
+      "       12/1    1.05315    1.03396 +/- 0.01919\n",
+      "       13/1    1.02824    1.03205 +/- 0.01124\n",
+      "       14/1    1.02858    1.03118 +/- 0.00800\n",
+      "       15/1    1.02176    1.02930 +/- 0.00647\n",
+      "       16/1    1.06046    1.03449 +/- 0.00741\n",
+      "       17/1    1.02066    1.03252 +/- 0.00657\n",
+      "       18/1    1.03088    1.03231 +/- 0.00569\n",
+      "       19/1    1.02021    1.03097 +/- 0.00520\n",
+      "       20/1    1.02717    1.03059 +/- 0.00466\n",
+      "       21/1    1.03455    1.03095 +/- 0.00423\n",
+      "       22/1    1.02917    1.03080 +/- 0.00387\n",
+      "       23/1    1.02800    1.03058 +/- 0.00356\n",
+      "       24/1    1.02935    1.03050 +/- 0.00330\n",
+      "       25/1    1.01612    1.02954 +/- 0.00322\n",
+      "       26/1    1.00549    1.02803 +/- 0.00336\n",
+      "       27/1    1.02824    1.02805 +/- 0.00316\n",
+      "       28/1    1.01487    1.02731 +/- 0.00307\n",
+      "       29/1    1.05544    1.02879 +/- 0.00326\n",
+      "       30/1    1.00467    1.02759 +/- 0.00332\n",
+      "       31/1    1.03942    1.02815 +/- 0.00321\n",
+      "       32/1    1.02587    1.02805 +/- 0.00306\n",
+      "       33/1    1.02938    1.02811 +/- 0.00292\n",
+      "       34/1    1.02838    1.02812 +/- 0.00280\n",
+      "       35/1    1.00052    1.02701 +/- 0.00290\n",
+      "       36/1    1.01722    1.02664 +/- 0.00281\n",
+      "       37/1    1.01881    1.02635 +/- 0.00272\n",
+      "       38/1    1.03928    1.02681 +/- 0.00266\n",
+      "       39/1    1.03802    1.02720 +/- 0.00260\n",
+      "       40/1    1.00710    1.02653 +/- 0.00260\n",
+      "       41/1    1.02558    1.02650 +/- 0.00251\n",
+      "       42/1    1.03499    1.02676 +/- 0.00245\n",
+      "       43/1    1.01128    1.02629 +/- 0.00242\n",
+      "       44/1    1.00442    1.02565 +/- 0.00243\n",
+      "       45/1    1.03444    1.02590 +/- 0.00238\n",
+      "       46/1    1.01799    1.02568 +/- 0.00232\n",
+      "       47/1    1.00814    1.02521 +/- 0.00231\n",
+      "       48/1    1.00500    1.02467 +/- 0.00231\n",
+      "       49/1    1.01960    1.02454 +/- 0.00225\n",
+      "       50/1    1.02431    1.02454 +/- 0.00219\n",
       " Creating state point statepoint.50.h5...\n",
       "\n",
-      " ===========================================================================\n",
-      " ======================>     SIMULATION FINISHED     <======================\n",
-      " ===========================================================================\n",
-      "\n",
-      "\n",
       " =======================>     TIMING STATISTICS     <=======================\n",
       "\n",
-      " Total time for initialization     =  3.4887E-01 seconds\n",
-      "   Reading cross sections          =  2.1990E-01 seconds\n",
-      " Total time in simulation          =  3.2195E+01 seconds\n",
-      "   Time in transport only          =  3.1778E+01 seconds\n",
-      "   Time in inactive batches        =  1.9903E+00 seconds\n",
-      "   Time in active batches          =  3.0205E+01 seconds\n",
-      "   Time synchronizing fission bank =  5.9614E-03 seconds\n",
-      "     Sampling source sites         =  4.8344E-03 seconds\n",
-      "     SEND/RECV source sites        =  1.0392E-03 seconds\n",
-      "   Time accumulating tallies       =  1.5849E-03 seconds\n",
-      " Total time for finalization       =  3.9664E-05 seconds\n",
-      " Total time elapsed                =  3.2560E+01 seconds\n",
-      " Calculation Rate (inactive)       =  12561.1 neutrons/second\n",
-      " Calculation Rate (active)         =  3310.69 neutrons/second\n",
+      " Total time for initialization     =  2.8179E-01 seconds\n",
+      "   Reading cross sections          =  2.5741E-01 seconds\n",
+      " Total time in simulation          =  2.5787E+01 seconds\n",
+      "   Time in transport only          =  2.5724E+01 seconds\n",
+      "   Time in inactive batches        =  1.7591E+00 seconds\n",
+      "   Time in active batches          =  2.4028E+01 seconds\n",
+      "   Time synchronizing fission bank =  1.3217E-02 seconds\n",
+      "     Sampling source sites         =  1.0464E-02 seconds\n",
+      "     SEND/RECV source sites        =  2.6486E-03 seconds\n",
+      "   Time accumulating tallies       =  2.7351E-04 seconds\n",
+      " Total time for finalization       =  5.5454E-05 seconds\n",
+      " Total time elapsed                =  2.6109E+01 seconds\n",
+      " Calculation Rate (inactive)       =  56847.1 neutrons/second\n",
+      " Calculation Rate (active)         =  16647.3 neutrons/second\n",
       "\n",
       " ============================>     RESULTS     <============================\n",
       "\n",
-      " k-effective (Collision)     =  1.02621 +/-  0.00393\n",
-      " k-effective (Track-length)  =  1.02391 +/-  0.00370\n",
-      " k-effective (Absorption)    =  1.02077 +/-  0.00423\n",
-      " Combined k-effective        =  1.02331 +/-  0.00353\n",
+      " k-effective (Collision)     =  1.02204 +/-  0.00176\n",
+      " k-effective (Track-length)  =  1.02454 +/-  0.00219\n",
+      " k-effective (Absorption)    =  1.02370 +/-  0.00186\n",
+      " Combined k-effective        =  1.02329 +/-  0.00157\n",
       " Leakage Fraction            =  0.00000 +/-  0.00000\n",
       "\n"
      ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "0"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -864,10 +800,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 26,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Load the last statepoint file\n",
@@ -883,10 +817,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 27,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Initialize MGXS Library with OpenMC statepoint data\n",
@@ -918,10 +850,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 28,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Retrieve the NuFissionXS object for the fuel cell from the library\n",
@@ -938,23 +868,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 29,
+   "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/wbinventor/Documents/NSE-CRPG-Codes/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  self_rel_err = data['self']['std. dev.'] / data['self']['mean']\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -969,23 +902,23 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>10000</td>\n",
+       "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>U235</td>\n",
-       "      <td>8.096764e-03</td>\n",
-       "      <td>3.130177e-05</td>\n",
+       "      <td>8.093482e-03</td>\n",
+       "      <td>1.597406e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>10000</td>\n",
+       "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>U238</td>\n",
-       "      <td>7.364515e-03</td>\n",
-       "      <td>4.510564e-05</td>\n",
+       "      <td>7.347745e-03</td>\n",
+       "      <td>2.082526e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>10000</td>\n",
+       "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>O16</td>\n",
        "      <td>0.000000e+00</td>\n",
@@ -993,23 +926,23 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>10000</td>\n",
+       "      <td>1</td>\n",
        "      <td>2</td>\n",
        "      <td>U235</td>\n",
-       "      <td>3.611153e-01</td>\n",
-       "      <td>2.048312e-03</td>\n",
+       "      <td>3.615911e-01</td>\n",
+       "      <td>1.206052e-03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>10000</td>\n",
+       "      <td>1</td>\n",
        "      <td>2</td>\n",
        "      <td>U238</td>\n",
-       "      <td>6.735070e-07</td>\n",
-       "      <td>3.780177e-09</td>\n",
+       "      <td>6.743056e-07</td>\n",
+       "      <td>2.229534e-09</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>10000</td>\n",
+       "      <td>1</td>\n",
        "      <td>2</td>\n",
        "      <td>O16</td>\n",
        "      <td>0.000000e+00</td>\n",
@@ -1020,16 +953,16 @@
        "</div>"
       ],
       "text/plain": [
-       "    cell  group in nuclide          mean     std. dev.\n",
-       "3  10000         1    U235  8.096764e-03  3.130177e-05\n",
-       "4  10000         1    U238  7.364515e-03  4.510564e-05\n",
-       "5  10000         1     O16  0.000000e+00  0.000000e+00\n",
-       "0  10000         2    U235  3.611153e-01  2.048312e-03\n",
-       "1  10000         2    U238  6.735070e-07  3.780177e-09\n",
-       "2  10000         2     O16  0.000000e+00  0.000000e+00"
+       "   cell  group in nuclide          mean     std. dev.\n",
+       "3     1         1    U235  8.093482e-03  1.597406e-05\n",
+       "4     1         1    U238  7.347745e-03  2.082526e-05\n",
+       "5     1         1     O16  0.000000e+00  0.000000e+00\n",
+       "0     1         2    U235  3.615911e-01  1.206052e-03\n",
+       "1     1         2    U238  6.743056e-07  2.229534e-09\n",
+       "2     1         2     O16  0.000000e+00  0.000000e+00"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1048,10 +981,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 30,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1060,16 +991,16 @@
       "Multi-Group XS\n",
       "\tReaction Type  =\tnu-fission\n",
       "\tDomain Type    =\tcell\n",
-      "\tDomain ID      =\t10000\n",
+      "\tDomain ID      =\t1\n",
       "\tNuclide        =\tU235\n",
       "\tCross Sections [cm^-1]:\n",
-      "            Group 1 [0.625      - 20000000.0eV]:\t8.10e-03 +/- 3.87e-01%\n",
-      "            Group 2 [0.0        - 0.625     eV]:\t3.61e-01 +/- 5.67e-01%\n",
+      "            Group 1 [0.625      - 20000000.0eV]:\t8.09e-03 +/- 1.97e-01%\n",
+      "            Group 2 [0.0        - 0.625     eV]:\t3.62e-01 +/- 3.34e-01%\n",
       "\n",
       "\tNuclide        =\tU238\n",
       "\tCross Sections [cm^-1]:\n",
-      "            Group 1 [0.625      - 20000000.0eV]:\t7.36e-03 +/- 6.12e-01%\n",
-      "            Group 2 [0.0        - 0.625     eV]:\t6.74e-07 +/- 5.61e-01%\n",
+      "            Group 1 [0.625      - 20000000.0eV]:\t7.35e-03 +/- 2.83e-01%\n",
+      "            Group 2 [0.0        - 0.625     eV]:\t6.74e-07 +/- 3.31e-01%\n",
       "\n",
       "\tNuclide        =\tO16\n",
       "\tCross Sections [cm^-1]:\n",
@@ -1084,7 +1015,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/wbinventor/Documents/NSE-CRPG-Codes/openmc/openmc/tallies.py:1506: RuntimeWarning: invalid value encountered in true_divide\n",
+      "/home/nelsonag/git/openmc/openmc/tallies.py:1269: RuntimeWarning: invalid value encountered in true_divide\n",
       "  data = self.std_dev[indices] / self.mean[indices]\n"
      ]
     }
@@ -1102,24 +1033,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/wbinventor/Documents/NSE-CRPG-Codes/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  self_rel_err = data['self']['std. dev.'] / data['self']['mean']\n",
-      "/home/wbinventor/Documents/NSE-CRPG-Codes/openmc/openmc/tallies.py:1836: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  other_rel_err = data['other']['std. dev.'] / data['other']['mean']\n",
-      "/home/wbinventor/Documents/NSE-CRPG-Codes/openmc/openmc/tallies.py:1837: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  new_tally._mean = data['self']['mean'] / data['other']['mean']\n"
-     ]
-    }
-   ],
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# Store the cross section data in an \"mgxs/mgxs.h5\" HDF5 binary file\n",
     "mgxs_lib.build_hdf5_store(filename='mgxs.h5', directory='mgxs')"
@@ -1134,10 +1050,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 32,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Store a Library and its MGXS objects in a pickled binary file \"mgxs/mgxs.pkl\"\n",
@@ -1146,10 +1060,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 33,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Instantiate a new MGXS Library from the pickled binary file \"mgxs/mgxs.pkl\"\n",
@@ -1165,10 +1077,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 34,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create a 1-group structure\n",
@@ -1180,23 +1090,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 35,
+   "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/wbinventor/Documents/NSE-CRPG-Codes/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  self_rel_err = data['self']['std. dev.'] / data['self']['mean']\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1211,23 +1124,23 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>10000</td>\n",
+       "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>U235</td>\n",
-       "      <td>0.074393</td>\n",
-       "      <td>0.000308</td>\n",
+       "      <td>0.074672</td>\n",
+       "      <td>0.000179</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>10000</td>\n",
+       "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>U238</td>\n",
-       "      <td>0.005982</td>\n",
-       "      <td>0.000036</td>\n",
+       "      <td>0.005964</td>\n",
+       "      <td>0.000017</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>10000</td>\n",
+       "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>O16</td>\n",
        "      <td>0.000000</td>\n",
@@ -1238,13 +1151,13 @@
        "</div>"
       ],
       "text/plain": [
-       "    cell  group in nuclide      mean  std. dev.\n",
-       "0  10000         1    U235  0.074393   0.000308\n",
-       "1  10000         1    U238  0.005982   0.000036\n",
-       "2  10000         1     O16  0.000000   0.000000"
+       "   cell  group in nuclide      mean  std. dev.\n",
+       "0     1         1    U235  0.074672   0.000179\n",
+       "1     1         1    U238  0.005964   0.000017\n",
+       "2     1         1     O16  0.000000   0.000000"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1273,10 +1186,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 36,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create an OpenMOC Geometry from the OpenMC Geometry\n",
@@ -1292,24 +1203,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/wbinventor/Documents/NSE-CRPG-Codes/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  self_rel_err = data['self']['std. dev.'] / data['self']['mean']\n",
-      "/home/wbinventor/Documents/NSE-CRPG-Codes/openmc/openmc/tallies.py:1836: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  other_rel_err = data['other']['std. dev.'] / data['other']['mean']\n",
-      "/home/wbinventor/Documents/NSE-CRPG-Codes/openmc/openmc/tallies.py:1837: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  new_tally._mean = data['self']['mean'] / data['other']['mean']\n"
-     ]
-    }
-   ],
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# Load the library into the OpenMOC geometry\n",
     "materials = load_openmc_mgxs_lib(mgxs_lib, openmoc_geometry)"
@@ -1324,9 +1220,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 38,
    "metadata": {
-    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
@@ -1336,131 +1231,131 @@
      "text": [
       "[  NORMAL ]  Importing ray tracing data from file...\n",
       "[  NORMAL ]  Computing the eigenvalue...\n",
-      "[  NORMAL ]  Iteration 0:\tk_eff = 0.823793\tres = 0.000E+00\n",
-      "[  NORMAL ]  Iteration 1:\tk_eff = 0.780554\tres = 1.938E-01\n",
-      "[  NORMAL ]  Iteration 2:\tk_eff = 0.739678\tres = 6.539E-02\n",
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+      "[  NORMAL ]  Iteration 103:\tk_eff = 1.024076\tres = 5.415E-05\n",
+      "[  NORMAL ]  Iteration 104:\tk_eff = 1.024123\tres = 5.011E-05\n",
+      "[  NORMAL ]  Iteration 105:\tk_eff = 1.024166\tres = 4.634E-05\n",
+      "[  NORMAL ]  Iteration 106:\tk_eff = 1.024207\tres = 4.290E-05\n",
+      "[  NORMAL ]  Iteration 107:\tk_eff = 1.024244\tres = 3.966E-05\n",
+      "[  NORMAL ]  Iteration 108:\tk_eff = 1.024279\tres = 3.669E-05\n",
+      "[  NORMAL ]  Iteration 109:\tk_eff = 1.024311\tres = 3.392E-05\n",
+      "[  NORMAL ]  Iteration 110:\tk_eff = 1.024341\tres = 3.137E-05\n",
+      "[  NORMAL ]  Iteration 111:\tk_eff = 1.024368\tres = 2.904E-05\n",
+      "[  NORMAL ]  Iteration 112:\tk_eff = 1.024393\tres = 2.686E-05\n",
+      "[  NORMAL ]  Iteration 113:\tk_eff = 1.024417\tres = 2.481E-05\n",
+      "[  NORMAL ]  Iteration 114:\tk_eff = 1.024438\tres = 2.296E-05\n",
+      "[  NORMAL ]  Iteration 115:\tk_eff = 1.024458\tres = 2.121E-05\n",
+      "[  NORMAL ]  Iteration 116:\tk_eff = 1.024477\tres = 1.961E-05\n",
+      "[  NORMAL ]  Iteration 117:\tk_eff = 1.024494\tres = 1.815E-05\n",
+      "[  NORMAL ]  Iteration 118:\tk_eff = 1.024510\tres = 1.679E-05\n",
+      "[  NORMAL ]  Iteration 119:\tk_eff = 1.024524\tres = 1.551E-05\n",
+      "[  NORMAL ]  Iteration 120:\tk_eff = 1.024538\tres = 1.435E-05\n",
+      "[  NORMAL ]  Iteration 121:\tk_eff = 1.024550\tres = 1.326E-05\n",
+      "[  NORMAL ]  Iteration 122:\tk_eff = 1.024561\tres = 1.226E-05\n",
+      "[  NORMAL ]  Iteration 123:\tk_eff = 1.024572\tres = 1.133E-05\n",
+      "[  NORMAL ]  Iteration 124:\tk_eff = 1.024582\tres = 1.047E-05\n"
      ]
     }
    ],
@@ -1483,25 +1378,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 39,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "openmc keff = 1.023307\n",
-      "openmoc keff = 1.024847\n",
-      "bias [pcm]: 154.0\n"
+      "openmc keff = 1.023293\n",
+      "openmoc keff = 1.024582\n",
+      "bias [pcm]: 128.8\n"
      ]
     }
    ],
    "source": [
     "# Print report of keff and bias with OpenMC\n",
     "openmoc_keff = solver.getKeff()\n",
-    "openmc_keff = sp.k_combined[0]\n",
+    "openmc_keff = sp.k_combined.nominal_value\n",
     "bias = (openmoc_keff - openmc_keff) * 1e5\n",
     "\n",
     "print('openmc keff = {0:1.6f}'.format(openmc_keff))\n",
@@ -1536,10 +1429,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 40,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Get the OpenMC fission rate mesh tally data\n",
@@ -1562,10 +1453,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 41,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Create OpenMOC Mesh on which to tally fission rates\n",
@@ -1594,26 +1483,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 42,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.text.Text at 0x7f3a95649710>"
+       "<matplotlib.text.Text at 0x7f6dafba74a8>"
       ]
      },
-     "execution_count": 43,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f3a97a87ac8>"
+       "<matplotlib.figure.Figure at 0x7f6dafd978d0>"
       ]
      },
      "metadata": {},
@@ -1640,9 +1527,9 @@
  "metadata": {
   "anaconda-cloud": {},
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "openmc",
    "language": "python",
-   "name": "python3"
+   "name": "openmc"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1654,9 +1541,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.0"
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/include/openmc.h b/include/openmc.h
index 1c2106432a..38b7f21670 100644
--- a/include/openmc.h
+++ b/include/openmc.h
@@ -16,7 +16,7 @@ extern "C" {
     int delayed_group;
   };
 
-  void openmc_calculate_voumes();
+  int openmc_calculate_volumes();
   int openmc_cell_get_fill(int32_t index, int* type, int32_t** indices, int32_t* n);
   int openmc_cell_get_id(int32_t index, int32_t* id);
   int openmc_cell_set_fill(int32_t index, int type, int32_t n, const int32_t* indices);
@@ -27,21 +27,27 @@ extern "C" {
   int openmc_extend_cells(int32_t n, int32_t* index_start, int32_t* index_end);
   int openmc_extend_filters(int32_t n, int32_t* index_start, int32_t* index_end);
   int openmc_extend_materials(int32_t n, int32_t* index_start, int32_t* index_end);
+  int openmc_extend_meshes(int32_t n, int32_t* index_start, int32_t* index_end);
   int openmc_extend_sources(int32_t n, int32_t* index_start, int32_t* index_end);
   int openmc_extend_tallies(int32_t n, int32_t* index_start, int32_t* index_end);
   int openmc_filter_get_id(int32_t index, int32_t* id);
+  int openmc_filter_get_type(int32_t index, const char** type);
   int openmc_filter_set_id(int32_t index, int32_t id);
-  void openmc_finalize();
+  int openmc_filter_set_type(int32_t index, const char* type);
+  int openmc_finalize();
   int openmc_find(double* xyz, int rtype, int32_t* id, int32_t* instance);
   int openmc_get_cell_index(int32_t id, int32_t* index);
   int openmc_get_filter_index(int32_t id, int32_t* index);
   void openmc_get_filter_next_id(int32_t* id);
   int openmc_get_keff(double k_combined[]);
   int openmc_get_material_index(int32_t id, int32_t* index);
+  int openmc_get_mesh_index(int32_t id, int32_t* index);
   int openmc_get_nuclide_index(const char name[], int* index);
+  int64_t openmc_get_seed();
   int openmc_get_tally_index(int32_t id, int32_t* index);
-  void openmc_hard_reset();
-  void openmc_init(const int* intracomm);
+  int openmc_hard_reset();
+  int openmc_init(int argc, char* argv[], const void* intracomm);
+  int openmc_init_f(const int* intracomm);
   int openmc_legendre_filter_get_order(int32_t index, int* order);
   int openmc_legendre_filter_set_order(int32_t index, int order);
   int openmc_load_nuclide(char name[]);
@@ -53,15 +59,25 @@ extern "C" {
   int openmc_material_set_id(int32_t index, int32_t id);
   int openmc_material_filter_get_bins(int32_t index, int32_t** bins, int32_t* n);
   int openmc_material_filter_set_bins(int32_t index, int32_t n, const int32_t* bins);
+  int openmc_mesh_filter_get_mesh(int32_t index, int32_t* index_mesh);
   int openmc_mesh_filter_set_mesh(int32_t index, int32_t index_mesh);
+  int openmc_mesh_get_id(int32_t index, int32_t* id);
+  int openmc_mesh_get_dimension(int32_t index, int** id, int* n);
+  int openmc_mesh_get_params(int32_t index, double** ll, double** ur, double** width, int* n);
+  int openmc_mesh_set_id(int32_t index, int32_t id);
+  int openmc_mesh_set_dimension(int32_t index, int n, const int* dims);
+  int openmc_mesh_set_params(int32_t index, const double* ll, const double* ur, const double* width, int n);
+  int openmc_meshsurface_filter_get_mesh(int32_t index, int32_t* index_mesh);
   int openmc_meshsurface_filter_set_mesh(int32_t index, int32_t index_mesh);
-  int openmc_next_batch();
+  int openmc_next_batch(int* status);
   int openmc_nuclide_name(int index, char** name);
-  void openmc_plot_geometry();
-  void openmc_reset();
-  void openmc_run();
-  void openmc_simulation_finalize();
-  void openmc_simulation_init();
+  int openmc_particle_restart();
+  int openmc_plot_geometry();
+  int openmc_reset();
+  int openmc_run();
+  void openmc_set_seed(int64_t new_seed);
+  int openmc_simulation_finalize();
+  int openmc_simulation_init();
   int openmc_source_bank(struct Bank** ptr, int64_t* n);
   int openmc_source_set_strength(int32_t index, double strength);
   int openmc_spatial_legendre_filter_get_order(int32_t index, int* order);
@@ -73,17 +89,20 @@ extern "C" {
   int openmc_sphharm_filter_get_cosine(int32_t index, char cosine[]);
   int openmc_sphharm_filter_set_order(int32_t index, int order);
   int openmc_sphharm_filter_set_cosine(int32_t index, const char cosine[]);
-  void openmc_statepoint_write(const char filename[]);
+  int openmc_statepoint_write(const char filename[]);
+  int openmc_tally_get_active(int32_t index, bool* active);
   int openmc_tally_get_id(int32_t index, int32_t* id);
   int openmc_tally_get_filters(int32_t index, int32_t** indices, int* n);
   int openmc_tally_get_n_realizations(int32_t index, int32_t* n);
   int openmc_tally_get_nuclides(int32_t index, int** nuclides, int* n);
   int openmc_tally_get_scores(int32_t index, int** scores, int* n);
   int openmc_tally_results(int32_t index, double** ptr, int shape_[3]);
+  int openmc_tally_set_active(int32_t index, bool active);
   int openmc_tally_set_filters(int32_t index, int n, const int32_t* indices);
   int openmc_tally_set_id(int32_t index, int32_t id);
   int openmc_tally_set_nuclides(int32_t index, int n, const char** nuclides);
-  int openmc_tally_set_scores(int32_t index, int n, const int* scores);
+  int openmc_tally_set_scores(int32_t index, int n, const char** scores);
+  int openmc_tally_set_type(int32_t index, const char* type);
   int openmc_zernike_filter_get_order(int32_t index, int* order);
   int openmc_zernike_filter_get_params(int32_t index, double* x, double* y, double* r);
   int openmc_zernike_filter_set_order(int32_t index, int order);
@@ -91,22 +110,22 @@ extern "C" {
                                        const double* y, const double* r);
 
   // Error codes
-  extern int E_UNASSIGNED;
-  extern int E_ALLOCATE;
-  extern int E_OUT_OF_BOUNDS;
-  extern int E_INVALID_SIZE;
-  extern int E_INVALID_ARGUMENT;
-  extern int E_INVALID_TYPE;
-  extern int E_INVALID_ID;
-  extern int E_GEOMETRY;
-  extern int E_DATA;
-  extern int E_PHYSICS;
-  extern int E_WARNING;
+  extern int OPENMC_E_UNASSIGNED;
+  extern int OPENMC_E_ALLOCATE;
+  extern int OPENMC_E_OUT_OF_BOUNDS;
+  extern int OPENMC_E_INVALID_SIZE;
+  extern int OPENMC_E_INVALID_ARGUMENT;
+  extern int OPENMC_E_INVALID_TYPE;
+  extern int OPENMC_E_INVALID_ID;
+  extern int OPENMC_E_GEOMETRY;
+  extern int OPENMC_E_DATA;
+  extern int OPENMC_E_PHYSICS;
+  extern int OPENMC_E_WARNING;
 
   // Global variables
   extern char openmc_err_msg[256];
-  extern double keff;
-  extern double keff_std;
+  extern double openmc_keff;
+  extern double openmc_keff_std;
   extern int32_t n_batches;
   extern int32_t n_cells;
   extern int32_t n_filters;
@@ -122,9 +141,24 @@ extern "C" {
   extern int32_t n_surfaces;
   extern int32_t n_tallies;
   extern int32_t n_universes;
-  extern int run_mode;
-  extern bool simulation_initialized;
-  extern int verbosity;
+  extern int openmc_run_mode;
+  extern bool openmc_simulation_initialized;
+  extern int openmc_verbosity;
+
+  // Variables that are shared by necessity (can be removed from public header
+  // later)
+  extern bool openmc_master;
+  extern int openmc_n_procs;
+  extern int openmc_n_threads;
+  extern int openmc_rank;
+  extern int64_t openmc_work;
+
+  // Run modes
+  constexpr int RUN_MODE_FIXEDSOURCE {1};
+  constexpr int RUN_MODE_EIGENVALUE {2};
+  constexpr int RUN_MODE_PLOTTING {3};
+  constexpr int RUN_MODE_PARTICLE {4};
+  constexpr int RUN_MODE_VOLUME {5};
 
 #ifdef __cplusplus
 }
diff --git a/openmc/capi/__init__.py b/openmc/capi/__init__.py
index bc173f9946..217e782a84 100644
--- a/openmc/capi/__init__.py
+++ b/openmc/capi/__init__.py
@@ -43,6 +43,7 @@ from .core import *
 from .nuclide import *
 from .material import *
 from .cell import *
+from .mesh import *
 from .filter import *
 from .tally import *
 from .settings import settings
diff --git a/openmc/capi/cell.py b/openmc/capi/cell.py
index 0ab3f2583e..258e773dce 100644
--- a/openmc/capi/cell.py
+++ b/openmc/capi/cell.py
@@ -5,9 +5,10 @@ from weakref import WeakValueDictionary
 import numpy as np
 from numpy.ctypeslib import as_array
 
+from openmc.exceptions import AllocationError, InvalidIDError
 from . import _dll
 from .core import _FortranObjectWithID
-from .error import _error_handler, AllocationError, InvalidIDError
+from .error import _error_handler
 from .material import Material
 
 __all__ = ['Cell', 'cells']
@@ -44,7 +45,7 @@ class Cell(_FortranObjectWithID):
 
     This class exposes a cell that is stored internally in the OpenMC
     library. To obtain a view of a cell with a given ID, use the
-    :data:`openmc.capi.nuclides` mapping.
+    :data:`openmc.capi.cells` mapping.
 
     Parameters
     ----------
@@ -115,14 +116,15 @@ class Cell(_FortranObjectWithID):
     def fill(self, fill):
         if isinstance(fill, Iterable):
             n = len(fill)
-            indices = (c_int*n)(*(m._index for m in fill))
-            _dll.openmc_cell_set_fill(self._index, 1, 1, indices)
+            indices = (c_int32*n)(*(m._index if m is not None else -1
+                                    for m in fill))
+            _dll.openmc_cell_set_fill(self._index, 1, n, indices)
         elif isinstance(fill, Material):
-            materials = [fill]
-            indices = (c_int*1)(fill._index)
+            indices = (c_int32*1)(fill._index)
+            _dll.openmc_cell_set_fill(self._index, 1, 1, indices)
+        elif fill is None:
+            indices = (c_int32*1)(-1)
             _dll.openmc_cell_set_fill(self._index, 1, 1, indices)
-        else:
-            raise NotImplementedError
 
     def set_temperature(self, T, instance=None):
         """Set the temperature of a cell
diff --git a/openmc/capi/core.py b/openmc/capi/core.py
index 415fa2e936..e044f95041 100644
--- a/openmc/capi/core.py
+++ b/openmc/capi/core.py
@@ -1,13 +1,14 @@
 from contextlib import contextmanager
-from ctypes import (CDLL, c_int, c_int32, c_int64, c_double, c_char_p,
-                    POINTER, Structure)
+from ctypes import (CDLL, c_int, c_int32, c_int64, c_double, c_char_p, c_char,
+                    POINTER, Structure, c_void_p, create_string_buffer)
 from warnings import warn
 
 import numpy as np
 from numpy.ctypeslib import as_array
 
+from openmc.exceptions import AllocationError
 from . import _dll
-from .error import _error_handler, AllocationError
+from .error import _error_handler
 import openmc.capi
 
 
@@ -19,29 +20,41 @@ class _Bank(Structure):
                 ('delayed_group', c_int)]
 
 
-_dll.openmc_calculate_volumes.restype = None
-_dll.openmc_finalize.restype = None
+_dll.openmc_calculate_volumes.restype = c_int
+_dll.openmc_calculate_volumes.errcheck = _error_handler
+_dll.openmc_finalize.restype = c_int
+_dll.openmc_finalize.errcheck = _error_handler
 _dll.openmc_find.argtypes = [POINTER(c_double*3), c_int, POINTER(c_int32),
                              POINTER(c_int32)]
 _dll.openmc_find.restype = c_int
 _dll.openmc_find.errcheck = _error_handler
-_dll.openmc_hard_reset.restype = None
-_dll.openmc_init.argtypes = [POINTER(c_int)]
-_dll.openmc_init.restype = None
+_dll.openmc_hard_reset.restype = c_int
+_dll.openmc_hard_reset.errcheck = _error_handler
+_dll.openmc_init.argtypes = [c_int, POINTER(POINTER(c_char)), c_void_p]
+_dll.openmc_init.restype = c_int
+_dll.openmc_init.errcheck = _error_handler
 _dll.openmc_get_keff.argtypes = [POINTER(c_double*2)]
 _dll.openmc_get_keff.restype = c_int
 _dll.openmc_get_keff.errcheck = _error_handler
+_dll.openmc_next_batch.argtypes = [POINTER(c_int)]
 _dll.openmc_next_batch.restype = c_int
-_dll.openmc_plot_geometry.restype = None
-_dll.openmc_run.restype = None
-_dll.openmc_reset.restype = None
+_dll.openmc_next_batch.errcheck = _error_handler
+_dll.openmc_plot_geometry.restype = c_int
+_dll.openmc_plot_geometry.restype = _error_handler
+_dll.openmc_run.restype = c_int
+_dll.openmc_run.errcheck = _error_handler
+_dll.openmc_reset.restype = c_int
+_dll.openmc_reset.errcheck = _error_handler
 _dll.openmc_source_bank.argtypes = [POINTER(POINTER(_Bank)), POINTER(c_int64)]
 _dll.openmc_source_bank.restype = c_int
 _dll.openmc_source_bank.errcheck = _error_handler
-_dll.openmc_simulation_init.restype = None
-_dll.openmc_simulation_finalize.restype = None
+_dll.openmc_simulation_init.restype = c_int
+_dll.openmc_simulation_init.errcheck = _error_handler
+_dll.openmc_simulation_finalize.restype = c_int
+_dll.openmc_simulation_finalize.errcheck = _error_handler
 _dll.openmc_statepoint_write.argtypes = [POINTER(c_char_p)]
-_dll.openmc_statepoint_write.restype = None
+_dll.openmc_statepoint_write.restype = c_int
+_dll.openmc_statepoint_write.errcheck = _error_handler
 
 
 def calculate_volumes():
@@ -102,25 +115,42 @@ def hard_reset():
     _dll.openmc_hard_reset()
 
 
-def init(intracomm=None):
+def init(args=None, intracomm=None):
     """Initialize OpenMC
 
     Parameters
     ----------
+    args : list of str
+        Command-line arguments
     intracomm : mpi4py.MPI.Intracomm or None
         MPI intracommunicator
 
     """
-    if intracomm is not None:
-        # If an mpi4py communicator was passed, convert it to an integer to
-        # be passed to openmc_init
-        try:
-            intracomm = intracomm.py2f()
-        except AttributeError:
-            pass
-        _dll.openmc_init(c_int(intracomm))
+    if args is not None:
+        args = ['openmc'] + list(args)
+        argc = len(args)
+
+        # Create the argv array. Note that it is actually expected to be of
+        # length argc + 1 with the final item being a null pointer.
+        argv = (POINTER(c_char) * (argc + 1))()
+        for i, arg in enumerate(args):
+            argv[i] = create_string_buffer(arg.encode())
     else:
-        _dll.openmc_init(None)
+        argc = 0
+        argv = None
+
+    if intracomm is not None:
+        # If an mpi4py communicator was passed, convert it to void* to be passed
+        # to openmc_init
+        try:
+            from mpi4py import MPI
+        except ImportError:
+            intracomm = None
+        else:
+            address = MPI._addressof(intracomm)
+            intracomm = c_void_p(address)
+
+    _dll.openmc_init(argc, argv, intracomm)
 
 
 def iter_batches():
@@ -147,13 +177,13 @@ def iter_batches():
     """
     while True:
         # Run next batch
-        retval = next_batch()
+        status = next_batch()
 
         # Provide opportunity for user to perform action between batches
         yield
 
         # End the iteration
-        if retval < 0:
+        if status != 0:
             break
 
 
@@ -174,18 +204,25 @@ def keff():
         return tuple(k)
     else:
         # Otherwise, return the tracklength estimator
-        mean = c_double.in_dll(_dll, 'keff').value
-        std_dev = c_double.in_dll(_dll, 'keff_std').value if n > 1 else np.inf
+        mean = c_double.in_dll(_dll, 'openmc_keff').value
+        std_dev = c_double.in_dll(_dll, 'openmc_keff_std').value \
+                  if n > 1 else np.inf
         return (mean, std_dev)
 
 
 def next_batch():
-    """Run next batch."""
-    retval = _dll.openmc_next_batch()
-    if retval == -3:
-        raise AllocationError('Simulation has not been initialized. You must call '
-                              'openmc.capi.simulation_init() first.')
-    return retval
+    """Run next batch.
+
+    Returns
+    -------
+    int
+        Status after running a batch (0=normal, 1=reached maximum number of
+        batches, 2=tally triggers reached)
+
+    """
+    status = c_int()
+    _dll.openmc_next_batch(status)
+    return status.value
 
 
 def plot_geometry():
diff --git a/openmc/capi/error.py b/openmc/capi/error.py
index a11d6ea87d..b35de4e60c 100644
--- a/openmc/capi/error.py
+++ b/openmc/capi/error.py
@@ -1,45 +1,10 @@
 from ctypes import c_int, c_char
 from warnings import warn
 
+import openmc.exceptions as exc
 from . import _dll
 
 
-class OpenMCError(Exception):
-    """Root exception class for OpenMC."""
-
-
-class GeometryError(OpenMCError):
-    """Geometry-related error"""
-
-
-class InvalidIDError(OpenMCError):
-    """Use of an ID that is invalid."""
-
-
-class AllocationError(OpenMCError):
-    """Error related to memory allocation."""
-
-
-class OutOfBoundsError(OpenMCError):
-    """Index in array out of bounds."""
-
-
-class DataError(OpenMCError):
-    """Error relating to nuclear data."""
-
-
-class PhysicsError(OpenMCError):
-    """Error relating to performing physics."""
-
-
-class InvalidArgumentError(OpenMCError):
-    """Argument passed was invalid."""
-
-
-class InvalidTypeError(OpenMCError):
-    """Tried to perform an operation on the wrong type."""
-
-
 def _error_handler(err, func, args):
     """Raise exception according to error code."""
 
@@ -52,23 +17,23 @@ def _error_handler(err, func, args):
     msg = errmsg.value.decode()
 
     # Raise exception type corresponding to error code
-    if err == errcode('e_allocate'):
-        raise AllocationError(msg)
-    elif err == errcode('e_out_of_bounds'):
-        raise OutOfBoundsError(msg)
-    elif err == errcode('e_invalid_argument'):
-        raise InvalidArgumentError(msg)
-    elif err == errcode('e_invalid_type'):
-        raise InvalidTypeError(msg)
-    if err == errcode('e_invalid_id'):
-        raise InvalidIDError(msg)
-    elif err == errcode('e_geometry'):
-        raise GeometryError(msg)
-    elif err == errcode('e_data'):
-        raise DataError(msg)
-    elif err == errcode('e_physics'):
-        raise PhysicsError(msg)
-    elif err == errcode('e_warning'):
+    if err == errcode('OPENMC_E_ALLOCATE'):
+        raise exc.AllocationError(msg)
+    elif err == errcode('OPENMC_E_OUT_OF_BOUNDS'):
+        raise exc.OutOfBoundsError(msg)
+    elif err == errcode('OPENMC_E_INVALID_ARGUMENT'):
+        raise exc.InvalidArgumentError(msg)
+    elif err == errcode('OPENMC_E_INVALID_TYPE'):
+        raise exc.InvalidTypeError(msg)
+    if err == errcode('OPENMC_E_INVALID_ID'):
+        raise exc.InvalidIDError(msg)
+    elif err == errcode('OPENMC_E_GEOMETRY'):
+        raise exc.GeometryError(msg)
+    elif err == errcode('OPENMC_E_DATA'):
+        raise exc.DataError(msg)
+    elif err == errcode('OPENMC_E_PHYSICS'):
+        raise exc.PhysicsError(msg)
+    elif err == errcode('OPENMC_E_WARNING'):
         warn(msg)
     elif err < 0:
-        raise OpenMCError("Unknown error encountered (code {}).".format(err))
+        raise exc.OpenMCError("Unknown error encountered (code {}).".format(err))
diff --git a/openmc/capi/filter.py b/openmc/capi/filter.py
index 691ecc09cc..5c21c3ef4b 100644
--- a/openmc/capi/filter.py
+++ b/openmc/capi/filter.py
@@ -6,17 +6,19 @@ from weakref import WeakValueDictionary
 import numpy as np
 from numpy.ctypeslib import as_array
 
+from openmc.exceptions import AllocationError, InvalidIDError
 from . import _dll
 from .core import _FortranObjectWithID
-from .error import _error_handler, AllocationError, InvalidIDError
+from .error import _error_handler
 from .material import Material
+from .mesh import Mesh
 
 
 __all__ = ['Filter', 'AzimuthalFilter', 'CellFilter',
            'CellbornFilter', 'CellfromFilter', 'DistribcellFilter',
            'DelayedGroupFilter', 'EnergyFilter', 'EnergyoutFilter',
            'EnergyFunctionFilter', 'MaterialFilter', 'MeshFilter',
-           'MuFilter', 'PolarFilter', 'SurfaceFilter',
+           'MeshSurfaceFilter', 'MuFilter', 'PolarFilter', 'SurfaceFilter',
            'UniverseFilter', 'filters']
 
 # Tally functions
@@ -52,9 +54,15 @@ _dll.openmc_material_filter_get_bins.errcheck = _error_handler
 _dll.openmc_material_filter_set_bins.argtypes = [c_int32, c_int32, POINTER(c_int32)]
 _dll.openmc_material_filter_set_bins.restype = c_int
 _dll.openmc_material_filter_set_bins.errcheck = _error_handler
+_dll.openmc_mesh_filter_get_mesh.argtypes = [c_int32, POINTER(c_int32)]
+_dll.openmc_mesh_filter_get_mesh.restype = c_int
+_dll.openmc_mesh_filter_get_mesh.errcheck = _error_handler
 _dll.openmc_mesh_filter_set_mesh.argtypes = [c_int32, c_int32]
 _dll.openmc_mesh_filter_set_mesh.restype = c_int
 _dll.openmc_mesh_filter_set_mesh.errcheck = _error_handler
+_dll.openmc_meshsurface_filter_get_mesh.argtypes = [c_int32, POINTER(c_int32)]
+_dll.openmc_meshsurface_filter_get_mesh.restype = c_int
+_dll.openmc_meshsurface_filter_get_mesh.errcheck = _error_handler
 _dll.openmc_meshsurface_filter_set_mesh.argtypes = [c_int32, c_int32]
 _dll.openmc_meshsurface_filter_set_mesh.restype = c_int
 _dll.openmc_meshsurface_filter_set_mesh.errcheck = _error_handler
@@ -190,10 +198,40 @@ class MaterialFilter(Filter):
 class MeshFilter(Filter):
     filter_type = 'mesh'
 
+    def __init__(self, mesh=None, uid=None, new=True, index=None):
+        super().__init__(uid, new, index)
+        if mesh is not None:
+            self.mesh = mesh
+
+    @property
+    def mesh(self):
+        index_mesh = c_int32()
+        _dll.openmc_mesh_filter_get_mesh(self._index, index_mesh)
+        return Mesh(index=index_mesh.value)
+
+    @mesh.setter
+    def mesh(self, mesh):
+        _dll.openmc_mesh_filter_set_mesh(self._index, mesh._index)
+
 
 class MeshSurfaceFilter(Filter):
     filter_type = 'meshsurface'
 
+    def __init__(self, mesh=None, uid=None, new=True, index=None):
+        super().__init__(uid, new, index)
+        if mesh is not None:
+            self.mesh = mesh
+
+    @property
+    def mesh(self):
+        index_mesh = c_int32()
+        _dll.openmc_meshsurface_filter_get_mesh(self._index, index_mesh)
+        return Mesh(index=index_mesh.value)
+
+    @mesh.setter
+    def mesh(self, mesh):
+        _dll.openmc_meshsurface_filter_set_mesh(self._index, mesh._index)
+
 
 class MuFilter(Filter):
     filter_type = 'mu'
diff --git a/openmc/capi/material.py b/openmc/capi/material.py
index 62d6df012a..a6c29a3751 100644
--- a/openmc/capi/material.py
+++ b/openmc/capi/material.py
@@ -5,9 +5,10 @@ from weakref import WeakValueDictionary
 import numpy as np
 from numpy.ctypeslib import as_array
 
+from openmc.exceptions import AllocationError, InvalidIDError
 from . import _dll, Nuclide
 from .core import _FortranObjectWithID
-from .error import _error_handler, AllocationError, InvalidIDError
+from .error import _error_handler
 
 
 __all__ = ['Material', 'materials']
@@ -89,6 +90,9 @@ class Material(_FortranObjectWithID):
                 index = index.value
             else:
                 index = mapping[uid]._index
+        elif index == -1:
+            # Special value indicates void material
+            return None
 
         if index not in cls.__instances:
             instance = super(Material, cls).__new__(cls)
diff --git a/openmc/capi/mesh.py b/openmc/capi/mesh.py
new file mode 100644
index 0000000000..091c5194b9
--- /dev/null
+++ b/openmc/capi/mesh.py
@@ -0,0 +1,183 @@
+from collections.abc import Mapping, Iterable
+from ctypes import c_int, c_int32, c_double, POINTER
+from weakref import WeakValueDictionary
+
+import numpy as np
+from numpy.ctypeslib import as_array
+
+from openmc.exceptions import AllocationError, InvalidIDError
+from . import _dll
+from .core import _FortranObjectWithID
+from .error import _error_handler
+from .material import Material
+
+__all__ = ['Mesh', 'meshes']
+
+# Mesh functions
+_dll.openmc_extend_meshes.argtypes = [c_int32, POINTER(c_int32), POINTER(c_int32)]
+_dll.openmc_extend_meshes.restype = c_int
+_dll.openmc_extend_meshes.errcheck = _error_handler
+_dll.openmc_mesh_get_id.argtypes = [c_int32, POINTER(c_int32)]
+_dll.openmc_mesh_get_id.restype = c_int
+_dll.openmc_mesh_get_id.errcheck = _error_handler
+_dll.openmc_mesh_get_dimension.argtypes = [c_int32, POINTER(POINTER(c_int)), POINTER(c_int)]
+_dll.openmc_mesh_get_dimension.restype = c_int
+_dll.openmc_mesh_get_dimension.errcheck = _error_handler
+_dll.openmc_mesh_get_params.argtypes = [
+    c_int32, POINTER(POINTER(c_double)), POINTER(POINTER(c_double)),
+    POINTER(POINTER(c_double)), POINTER(c_int)]
+_dll.openmc_mesh_get_params.restype = c_int
+_dll.openmc_mesh_get_params.errcheck = _error_handler
+_dll.openmc_mesh_set_id.argtypes = [c_int32, c_int32]
+_dll.openmc_mesh_set_id.restype = c_int
+_dll.openmc_mesh_set_id.errcheck = _error_handler
+_dll.openmc_mesh_set_dimension.argtypes = [c_int32, c_int, POINTER(c_int)]
+_dll.openmc_mesh_set_dimension.restype = c_int
+_dll.openmc_mesh_set_dimension.errcheck = _error_handler
+_dll.openmc_mesh_set_params.argtypes = [
+    c_int32, c_int, POINTER(c_double), POINTER(c_double), POINTER(c_double)]
+_dll.openmc_mesh_set_params.restype = c_int
+_dll.openmc_mesh_set_params.errcheck = _error_handler
+_dll.openmc_get_mesh_index.argtypes = [c_int32, POINTER(c_int32)]
+_dll.openmc_get_mesh_index.restype = c_int
+_dll.openmc_get_mesh_index.errcheck = _error_handler
+
+
+class Mesh(_FortranObjectWithID):
+    """Mesh stored internally.
+
+    This class exposes a mesh that is stored internally in the OpenMC
+    library. To obtain a view of a mesh with a given ID, use the
+    :data:`openmc.capi.meshes` mapping.
+
+    Parameters
+    ----------
+    index : int
+         Index in the `meshes` array.
+
+    Attributes
+    ----------
+    id : int
+        ID of the mesh
+    dimension : iterable of int
+        The number of mesh cells in each direction.
+    lower_left : numpy.ndarray
+        The lower-left corner of the structured mesh. If only two coordinate are
+        given, it is assumed that the mesh is an x-y mesh.
+    upper_right : numpy.ndarray
+        The upper-right corner of the structrued mesh. If only two coordinate
+        are given, it is assumed that the mesh is an x-y mesh.
+    width : numpy.ndarray
+        The width of mesh cells in each direction.
+
+    """
+    __instances = WeakValueDictionary()
+
+    def __new__(cls, uid=None, new=True, index=None):
+        mapping = meshes
+        if index is None:
+            if new:
+                # Determine ID to assign
+                if uid is None:
+                    uid = max(mapping, default=0) + 1
+                else:
+                    if uid in mapping:
+                        raise AllocationError('A mesh with ID={} has already '
+                                              'been allocated.'.format(uid))
+
+                index = c_int32()
+                _dll.openmc_extend_meshes(1, index, None)
+                index = index.value
+            else:
+                index = mapping[uid]._index
+
+        if index not in cls.__instances:
+            instance = super().__new__(cls)
+            instance._index = index
+            if uid is not None:
+                instance.id = uid
+            cls.__instances[index] = instance
+
+        return cls.__instances[index]
+
+    @property
+    def id(self):
+        mesh_id = c_int32()
+        _dll.openmc_mesh_get_id(self._index, mesh_id)
+        return mesh_id.value
+
+    @id.setter
+    def id(self, mesh_id):
+        _dll.openmc_mesh_set_id(self._index, mesh_id)
+
+    @property
+    def dimension(self):
+        dims = POINTER(c_int)()
+        n = c_int()
+        _dll.openmc_mesh_get_dimension(self._index, dims, n)
+        return tuple(as_array(dims, (n.value,)))
+
+    @dimension.setter
+    def dimension(self, dimension):
+        n = len(dimension)
+        dimension = (c_int*n)(*dimension)
+        _dll.openmc_mesh_set_dimension(self._index, n, dimension)
+
+    @property
+    def lower_left(self):
+        return self._get_parameters()[0]
+
+    @property
+    def upper_right(self):
+        return self._get_parameters()[1]
+
+    @property
+    def width(self):
+        return self._get_parameters()[2]
+
+    def _get_parameters(self):
+        ll = POINTER(c_double)()
+        ur = POINTER(c_double)()
+        w = POINTER(c_double)()
+        n = c_int()
+        _dll.openmc_mesh_get_params(self._index, ll, ur, w, n)
+        return (
+            as_array(ll, (n.value,)),
+            as_array(ur, (n.value,)),
+            as_array(w, (n.value,))
+        )
+
+    def set_parameters(self, lower_left=None, upper_right=None, width=None):
+        if lower_left is not None:
+            n = len(lower_left)
+            lower_left = (c_double*n)(*lower_left)
+        if upper_right is not None:
+            n = len(upper_right)
+            upper_right = (c_double*n)(*upper_right)
+        if width is not None:
+            n = len(width)
+            width = (c_double*n)(*width)
+        _dll.openmc_mesh_set_params(self._index, n, lower_left, upper_right, width)
+
+
+class _MeshMapping(Mapping):
+    def __getitem__(self, key):
+        index = c_int32()
+        try:
+            _dll.openmc_get_mesh_index(key, index)
+        except (AllocationError, InvalidIDError) as e:
+            # __contains__ expects a KeyError to work correctly
+            raise KeyError(str(e))
+        return Mesh(index=index.value)
+
+    def __iter__(self):
+        for i in range(len(self)):
+            yield Mesh(index=i + 1).id
+
+    def __len__(self):
+        return c_int32.in_dll(_dll, 'n_meshes').value
+
+    def __repr__(self):
+        return repr(dict(self))
+
+meshes = _MeshMapping()
diff --git a/openmc/capi/nuclide.py b/openmc/capi/nuclide.py
index f66212c971..e57653c64d 100644
--- a/openmc/capi/nuclide.py
+++ b/openmc/capi/nuclide.py
@@ -5,9 +5,10 @@ from weakref import WeakValueDictionary
 import numpy as np
 from numpy.ctypeslib import as_array
 
+from openmc.exceptions import DataError, AllocationError
 from . import _dll
 from .core import _FortranObject
-from .error import _error_handler, DataError, AllocationError
+from .error import _error_handler
 
 
 __all__ = ['Nuclide', 'nuclides', 'load_nuclide']
diff --git a/openmc/capi/settings.py b/openmc/capi/settings.py
index 1063d6463e..d706112c41 100644
--- a/openmc/capi/settings.py
+++ b/openmc/capi/settings.py
@@ -20,11 +20,11 @@ class _Settings(object):
     generations_per_batch = _DLLGlobal(c_int32, 'gen_per_batch')
     inactive = _DLLGlobal(c_int32, 'n_inactive')
     particles = _DLLGlobal(c_int64, 'n_particles')
-    verbosity = _DLLGlobal(c_int, 'verbosity')
+    verbosity = _DLLGlobal(c_int, 'openmc_verbosity')
 
     @property
     def run_mode(self):
-        i = c_int.in_dll(_dll, 'run_mode').value
+        i = c_int.in_dll(_dll, 'openmc_run_mode').value
         try:
             return _RUN_MODES[i]
         except KeyError:
@@ -32,7 +32,7 @@ class _Settings(object):
 
     @run_mode.setter
     def run_mode(self, mode):
-        current_idx = c_int.in_dll(_dll, 'run_mode')
+        current_idx = c_int.in_dll(_dll, 'openmc_run_mode')
         for idx, mode_value in _RUN_MODES.items():
             if mode_value == mode:
                 current_idx.value = idx
diff --git a/openmc/capi/tally.py b/openmc/capi/tally.py
index a78347177d..d4d70af718 100644
--- a/openmc/capi/tally.py
+++ b/openmc/capi/tally.py
@@ -1,15 +1,16 @@
 from collections.abc import Mapping
-from ctypes import c_int, c_int32, c_double, c_char_p, POINTER
+from ctypes import c_int, c_int32, c_double, c_char_p, c_bool, POINTER
 from weakref import WeakValueDictionary
 
 import numpy as np
 from numpy.ctypeslib import as_array
 import scipy.stats
 
+from openmc.exceptions import AllocationError, InvalidIDError
 from openmc.data.reaction import REACTION_NAME
 from . import _dll, Nuclide
 from .core import _FortranObjectWithID
-from .error import _error_handler, AllocationError, InvalidIDError
+from .error import _error_handler
 from .filter import _get_filter
 
 
@@ -25,6 +26,9 @@ _dll.openmc_get_tally_index.errcheck = _error_handler
 _dll.openmc_global_tallies.argtypes = [POINTER(POINTER(c_double))]
 _dll.openmc_global_tallies.restype = c_int
 _dll.openmc_global_tallies.errcheck = _error_handler
+_dll.openmc_tally_get_active.argtypes = [c_int32, POINTER(c_bool)]
+_dll.openmc_tally_get_active.restype = c_int
+_dll.openmc_tally_get_active.errcheck = _error_handler
 _dll.openmc_tally_get_id.argtypes = [c_int32, POINTER(c_int32)]
 _dll.openmc_tally_get_id.restype = c_int
 _dll.openmc_tally_get_id.errcheck = _error_handler
@@ -47,6 +51,9 @@ _dll.openmc_tally_results.argtypes = [
     c_int32, POINTER(POINTER(c_double)), POINTER(c_int*3)]
 _dll.openmc_tally_results.restype = c_int
 _dll.openmc_tally_results.errcheck = _error_handler
+_dll.openmc_tally_set_active.argtypes = [c_int32, c_bool]
+_dll.openmc_tally_set_active.restype = c_int
+_dll.openmc_tally_set_active.errcheck = _error_handler
 _dll.openmc_tally_set_filters.argtypes = [c_int32, c_int, POINTER(c_int32)]
 _dll.openmc_tally_set_filters.restype = c_int
 _dll.openmc_tally_set_filters.errcheck = _error_handler
@@ -66,10 +73,10 @@ _dll.openmc_tally_set_type.errcheck = _error_handler
 
 _SCORES = {
     -1: 'flux', -2: 'total', -3: 'scatter', -4: 'nu-scatter',
-    -9: 'absorption', -10: 'fission', -11: 'nu-fission', -12: 'kappa-fission',
-    -13: 'current', -18: 'events', -19: 'delayed-nu-fission',
-    -20: 'prompt-nu-fission', -21: 'inverse-velocity', -22: 'fission-q-prompt',
-    -23: 'fission-q-recoverable', -24: 'decay-rate'
+    -5: 'absorption', -6: 'fission', -7: 'nu-fission', -8: 'kappa-fission',
+    -9: 'current', -10: 'events', -11: 'delayed-nu-fission',
+    -12: 'prompt-nu-fission', -13: 'inverse-velocity', -14: 'fission-q-prompt',
+    -15: 'fission-q-recoverable', -16: 'decay-rate'
 }
 
 
@@ -177,6 +184,16 @@ class Tally(_FortranObjectWithID):
 
         return cls.__instances[index]
 
+    @property
+    def active(self):
+        active = c_bool()
+        _dll.openmc_tally_get_active(self._index, active)
+        return active.value
+
+    @active.setter
+    def active(self, active):
+        _dll.openmc_tally_set_active(self._index, active)
+
     @property
     def id(self):
         tally_id = c_int32()
diff --git a/openmc/data/library.py b/openmc/data/library.py
index 34cd380a55..adfa3e4cb8 100644
--- a/openmc/data/library.py
+++ b/openmc/data/library.py
@@ -23,9 +23,14 @@ class DataLibrary(EqualityMixin):
     def __init__(self):
         self.libraries = []
 
-    def get_by_material(self, value):
+    def get_by_material(self, name):
         """Return the library dictionary containing a given material.
 
+        Parameters
+        ----------
+        name : str
+            Name of material, e.g. 'Am241'
+
         Returns
         -------
         library : dict or None
@@ -34,7 +39,7 @@ class DataLibrary(EqualityMixin):
 
         """
         for library in self.libraries:
-            if value in library['materials']:
+            if name in library['materials']:
                 return library
         return None
 
diff --git a/openmc/deplete/operator.py b/openmc/deplete/operator.py
index a1d8ffb0b0..b40ff63447 100644
--- a/openmc/deplete/operator.py
+++ b/openmc/deplete/operator.py
@@ -268,7 +268,7 @@ class Operator(TransportOperator):
 
         # Initialize OpenMC library
         comm.barrier()
-        openmc.capi.init(comm)
+        openmc.capi.init(intracomm=comm)
 
         # Generate tallies in memory
         self._generate_tallies()
diff --git a/openmc/exceptions.py b/openmc/exceptions.py
new file mode 100644
index 0000000000..c87bfc82c9
--- /dev/null
+++ b/openmc/exceptions.py
@@ -0,0 +1,38 @@
+class OpenMCError(Exception):
+    """Root exception class for OpenMC."""
+
+
+class GeometryError(OpenMCError):
+    """Geometry-related error"""
+
+
+class InvalidIDError(OpenMCError):
+    """Use of an ID that is invalid."""
+
+
+class AllocationError(OpenMCError):
+    """Error related to memory allocation."""
+
+
+class OutOfBoundsError(OpenMCError):
+    """Index in array out of bounds."""
+
+
+class DataError(OpenMCError):
+    """Error relating to nuclear data."""
+
+
+class PhysicsError(OpenMCError):
+    """Error relating to performing physics."""
+
+
+class InvalidArgumentError(OpenMCError):
+    """Argument passed was invalid."""
+
+
+class InvalidTypeError(OpenMCError):
+    """Tried to perform an operation on the wrong type."""
+
+
+class SetupError(OpenMCError):
+    """Error while setting up a problem."""
diff --git a/openmc/filter.py b/openmc/filter.py
index 2bab17dbb6..3180989eb7 100644
--- a/openmc/filter.py
+++ b/openmc/filter.py
@@ -104,10 +104,8 @@ class Filter(IDManagerMixin, metaclass=FilterMeta):
             return False
         elif len(self.bins) != len(other.bins):
             return False
-        elif not np.allclose(self.bins, other.bins):
-            return False
         else:
-            return True
+            return np.allclose(self.bins, other.bins)
 
     def __ne__(self, other):
         return not self == other
diff --git a/openmc/filter_expansion.py b/openmc/filter_expansion.py
index 872eaac9f5..5159cfd473 100644
--- a/openmc/filter_expansion.py
+++ b/openmc/filter_expansion.py
@@ -10,10 +10,17 @@ from . import Filter
 
 class ExpansionFilter(Filter):
     """Abstract filter class for functional expansions."""
+
     def __init__(self, order, filter_id=None):
         self.order = order
         self.id = filter_id
 
+    def __eq__(self, other):
+        if type(self) is not type(other):
+            return False
+        else:
+            return self.bins == other.bins
+
     @property
     def order(self):
         return self._order
@@ -318,15 +325,15 @@ class ZernikeFilter(ExpansionFilter):
 
     This filter allows scores to be multiplied by Zernike polynomials of the
     particle's position normalized to a given unit circle, up to a
-    user-specified order. The Zernike polynomials follow the definition by `Noll
-    <https://doi.org/10.1364/JOSA.66.000207>`_ and are defined as
+    user-specified order. The standard Zernike polynomials follow the definition by
+    Born and Wolf, *Principles of Optics* and are defined as
 
     .. math::
-        Z_n^m(\rho, \theta) = \sqrt{2n + 2} R_n^m(\rho) \cos (m\theta), \quad m > 0
+        Z_n^m(\rho, \theta) = R_n^m(\rho) \cos (m\theta), \quad m > 0
 
-        Z_n^{m}(\rho, \theta) = \sqrt{2n + 2} R_n^{m}(\rho) \sin (m\theta), \quad m < 0
+        Z_n^{m}(\rho, \theta) = R_n^{m}(\rho) \sin (m\theta), \quad m < 0
 
-        Z_n^{m}(\rho, \theta) = \sqrt{n + 1} R_n^{m}(\rho), \quad m = 0
+        Z_n^{m}(\rho, \theta) = R_n^{m}(\rho), \quad m = 0
 
     where the radial polynomials are
 
@@ -335,7 +342,8 @@ class ZernikeFilter(ExpansionFilter):
         \frac{n+m}{2} - k)! (\frac{n-m}{2} - k)!} \rho^{n-2k}.
 
     With this definition, the integral of :math:`(Z_n^m)^2` over the unit disk
-    is exactly :math:`\pi` for each polynomial.
+    is :math:`\frac{\epsilon_m\pi}{2n+2}` for each polynomial where :math:`\epsilon_m` is
+    2 if :math:`m` equals 0 and 1 otherwise.
 
     Specifying a filter with order N tallies moments for all :math:`n` from 0 to
     N and each value of :math:`m`. The ordering of the Zernike polynomial
diff --git a/openmc/material.py b/openmc/material.py
index 6bfe58f4ac..cfa3eba3c3 100644
--- a/openmc/material.py
+++ b/openmc/material.py
@@ -278,8 +278,8 @@ class Material(IDManagerMixin):
 
         name = group['name'].value.decode() if 'name' in group else ''
         density = group['atom_density'].value
-        nuc_densities = group['nuclide_densities'][...]
-        nuclides = group['nuclides'].value
+        if 'nuclide_densities' in group:
+            nuc_densities = group['nuclide_densities'][...]
 
         # Create the Material
         material = cls(mat_id, name)
@@ -295,10 +295,18 @@ class Material(IDManagerMixin):
         # Set the Material's density to atom/b-cm as used by OpenMC
         material.set_density(density=density, units='atom/b-cm')
 
-        # Add all nuclides to the Material
-        for fullname, density in zip(nuclides, nuc_densities):
-            name = fullname.decode().strip()
-            material.add_nuclide(name, percent=density, percent_type='ao')
+        if 'nuclides' in group:
+            nuclides = group['nuclides'].value
+            # Add all nuclides to the Material
+            for fullname, density in zip(nuclides, nuc_densities):
+                name = fullname.decode().strip()
+                material.add_nuclide(name, percent=density, percent_type='ao')
+        if 'macroscopics' in group:
+            macroscopics = group['macroscopics'].value
+            # Add all macroscopics to the Material
+            for fullname in macroscopics:
+                name = fullname.decode().strip()
+                material.add_macroscopic(name)
 
         return material
 
diff --git a/openmc/mesh.py b/openmc/mesh.py
index aed7a46d8c..c9c76552bc 100644
--- a/openmc/mesh.py
+++ b/openmc/mesh.py
@@ -182,41 +182,6 @@ class Mesh(IDManagerMixin):
 
         return mesh
 
-    def cell_generator(self):
-        """Generator function to traverse through every [i,j,k] index of the
-        mesh
-
-        For example the following code:
-
-        .. code-block:: python
-
-            for mesh_index in mymesh.cell_generator():
-                print(mesh_index)
-
-        will produce the following output for a 3-D 2x2x2 mesh in mymesh::
-
-            [1, 1, 1]
-            [2, 1, 1]
-            [1, 2, 1]
-            [2, 2, 1]
-            ...
-
-
-        """
-
-        if len(self.dimension) == 1:
-            for x in range(self.dimension[0]):
-                    yield [x + 1, 1, 1]
-        elif len(self.dimension) == 2:
-            for y in range(self.dimension[1]):
-                for x in range(self.dimension[0]):
-                    yield [x + 1, y + 1, 1]
-        else:
-            for z in range(self.dimension[2]):
-                for y in range(self.dimension[1]):
-                    for x in range(self.dimension[0]):
-                        yield [x + 1, y + 1, z + 1]
-
     def to_xml_element(self):
         """Return XML representation of the mesh
 
@@ -280,12 +245,14 @@ class Mesh(IDManagerMixin):
             cv.check_value('bc', entry, ['transmission', 'vacuum',
                                          'reflective', 'periodic'])
 
+        n_dim = len(self.dimension)
+
         # Build the cell which will contain the lattice
         xplanes = [openmc.XPlane(x0=self.lower_left[0],
                                  boundary_type=bc[0]),
                    openmc.XPlane(x0=self.upper_right[0],
                                  boundary_type=bc[1])]
-        if len(self.dimension) == 1:
+        if n_dim == 1:
             yplanes = [openmc.YPlane(y0=-1e10, boundary_type='reflective'),
                        openmc.YPlane(y0=1e10, boundary_type='reflective')]
         else:
@@ -294,7 +261,7 @@ class Mesh(IDManagerMixin):
                        openmc.YPlane(y0=self.upper_right[1],
                                      boundary_type=bc[3])]
 
-        if len(self.dimension) <= 2:
+        if n_dim <= 2:
             # Would prefer to have the z ranges be the max supported float, but
             # these values are apparently different between python and Fortran.
             # Choosing a safe and sane default.
@@ -314,12 +281,12 @@ class Mesh(IDManagerMixin):
                             (+yplanes[0] & -yplanes[1]) &
                             (+zplanes[0] & -zplanes[1]))
 
-        # Build the universes which will be used for each of the [i,j,k]
+        # Build the universes which will be used for each of the (i,j,k)
         # locations within the mesh.
         # We will concurrently build cells to assign to these universes
         cells = []
         universes = []
-        for [i, j, k] in self.cell_generator():
+        for index in self.indices:
             cells.append(openmc.Cell())
             universes.append(openmc.Universe())
             universes[-1].add_cell(cells[-1])
@@ -329,7 +296,24 @@ class Mesh(IDManagerMixin):
 
         # Assign the universe and rotate to match the indexing expected for
         # the lattice
-        lattice.universes = np.rot90(np.reshape(universes, self.dimension))
+        if n_dim == 1:
+            universe_array = np.array([universes])
+        elif n_dim == 2:
+            universe_array = np.empty(self.dimension, dtype=openmc.Universe)
+            i = 0
+            for y in range(self.dimension[1] - 1, -1, -1):
+                for x in range(self.dimension[0]):
+                    universe_array[y][x] = universes[i]
+                    i += 1
+        else:
+            universe_array = np.empty(self.dimension, dtype=openmc.Universe)
+            i = 0
+            for z in range(self.dimension[2]):
+                for y in range(self.dimension[1] - 1, -1, -1):
+                    for x in range(self.dimension[0]):
+                        universe_array[z][y][x] = universes[i]
+                        i += 1
+        lattice.universes = universe_array
 
         if self.width is not None:
             lattice.pitch = self.width
@@ -337,9 +321,9 @@ class Mesh(IDManagerMixin):
             dx = ((self.upper_right[0] - self.lower_left[0]) /
                   self.dimension[0])
 
-            if len(self.dimension) == 1:
+            if n_dim == 1:
                 lattice.pitch = [dx]
-            elif len(self.dimension) == 2:
+            elif n_dim == 2:
                 dy = ((self.upper_right[1] - self.lower_left[1]) /
                       self.dimension[1])
                 lattice.pitch = [dx, dy]
diff --git a/openmc/mgxs/library.py b/openmc/mgxs/library.py
index ed8e3f076c..7b75d90fff 100644
--- a/openmc/mgxs/library.py
+++ b/openmc/mgxs/library.py
@@ -1220,9 +1220,8 @@ class Library(object):
             xs_type = 'macro'
 
         # Initialize file
-        mgxs_file = openmc.MGXSLibrary(self.energy_groups,
-                                       num_delayed_groups=\
-                                       self.num_delayed_groups)
+        mgxs_file = openmc.MGXSLibrary(
+            self.energy_groups, num_delayed_groups=self.num_delayed_groups)
 
         if self.domain_type == 'mesh':
             # Create the xsdata objects and add to the mgxs_file
@@ -1231,7 +1230,7 @@ class Library(object):
                 if self.by_nuclide:
                     raise NotImplementedError("Mesh domains do not currently "
                                               "support nuclidic tallies")
-                for subdomain in domain.cell_generator():
+                for subdomain in domain.indices:
                     # Build & add metadata to XSdata object
                     if xsdata_names is None:
                         xsdata_name = 'set' + str(i + 1)
@@ -1346,7 +1345,7 @@ class Library(object):
             geometry.root_universe = root
             materials = openmc.Materials()
 
-            for i, subdomain in enumerate(self.domains[0].cell_generator()):
+            for i, subdomain in enumerate(self.domains[0].indices):
                 xsdata = mgxs_file.xsdatas[i]
 
                 # Build the macroscopic and assign it to the cell of
@@ -1401,24 +1400,16 @@ class Library(object):
 
         The rules to check include:
 
-        - Either total or transport should be present.
+        - Either total or transport must 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.
+        - Absorption is 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
         --------
@@ -1428,36 +1419,51 @@ class Library(object):
         """
 
         error_flag = False
+
+        # if correction is 'P0', then transport must be provided
+        # otherwise total must be provided
+        if self.correction == 'P0':
+            if ('transport' not in self.mgxs_types and
+                'nu-transport' not in self.mgxs_types):
+                error_flag = True
+                warn('If the "correction" parameter is "P0", then a '
+                     '"transport" or "nu-transport" MGXS type is required.')
+        else:
+            if 'total' not in self.mgxs_types:
+                error_flag = True
+                warn('If the "correction" parameter is None, then a '
+                     '"total" MGXS type is required.')
+
+        # Check consistency of "nu-transport" and "nu-scatter"
+        if 'nu-transport' in self.mgxs_types:
+            if not ('nu-scatter matrix' in self.mgxs_types or
+                    'consistent nu-scatter matrix' in self.mgxs_types):
+                error_flag = True
+                warn('If a "nu-transport" MGXS type is used then a '
+                     '"nu-scatter matrix" or "consistent nu-scatter matrix" '
+                     'must also be used.')
+        elif 'transport' in self.mgxs_types:
+            if not ('scatter matrix' in self.mgxs_types or
+                    'consistent scatter matrix' in self.mgxs_types):
+                error_flag = True
+                warn('If a "transport" MGXS type is used then a '
+                     '"scatter matrix" or "consistent scatter matrix" '
+                     'must also be used.')
+
+        # Make sure there is some kind of a scattering matrix data
+        if 'nu-scatter matrix' not in self.mgxs_types and \
+            'consistent nu-scatter matrix' not in self.mgxs_types and \
+            'scatter matrix' not in self.mgxs_types and \
+            'consistent scatter matrix' not in self.mgxs_types:
+            error_flag = True
+            warn('A "nu-scatter matrix", "consistent nu-scatter matrix", '
+                 '"scatter matrix", or "consistent scatter matrix" MGXS '
+                 'type is required.')
+
         # 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 and \
-            'consistent 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 or \
-                'consistent 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 == "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 5bc00cbc95..172d7ddb38 100644
--- a/openmc/mgxs/mgxs.py
+++ b/openmc/mgxs/mgxs.py
@@ -2717,9 +2717,9 @@ class TransportXS(MGXS):
     @property
     def scores(self):
         if not self.nu:
-            return ['flux', 'total', 'flux', 'scatter-1']
+            return ['flux', 'total', 'flux', 'scatter']
         else:
-            return ['flux', 'total', 'flux', 'nu-scatter-1']
+            return ['flux', 'total', 'flux', 'nu-scatter']
 
     @property
     def tally_keys(self):
@@ -2730,8 +2730,9 @@ class TransportXS(MGXS):
         group_edges = self.energy_groups.group_edges
         energy_filter = openmc.EnergyFilter(group_edges)
         energyout_filter = openmc.EnergyoutFilter(group_edges)
+        p1_filter = openmc.LegendreFilter(1)
         filters = [[energy_filter], [energy_filter],
-                   [energy_filter], [energyout_filter]]
+                   [energy_filter], [energyout_filter, p1_filter]]
 
         return self._add_angle_filters(filters)
 
@@ -2739,12 +2740,18 @@ class TransportXS(MGXS):
     def rxn_rate_tally(self):
         if self._rxn_rate_tally is None:
             # Switch EnergyoutFilter to EnergyFilter.
-            old_filt = self.tallies['scatter-1'].filters[-1]
+            p1_tally = self.tallies['scatter-1']
+            old_filt = p1_tally.filters[-2]
             new_filt = openmc.EnergyFilter(old_filt.values)
-            self.tallies['scatter-1'].filters[-1] = new_filt
+            p1_tally.filters[-2] = new_filt
 
-            self._rxn_rate_tally = \
-                self.tallies['total'] - self.tallies['scatter-1']
+            # Slice Legendre expansion filter and change name of score
+            p1_tally = p1_tally.get_slice(filters=[openmc.LegendreFilter],
+                                          filter_bins=[('P1',)],
+                                          squeeze=True)
+            p1_tally.scores = ['scatter-1']
+
+            self._rxn_rate_tally = self.tallies['total'] - p1_tally
             self._rxn_rate_tally.sparse = self.sparse
 
         return self._rxn_rate_tally
@@ -2758,15 +2765,22 @@ class TransportXS(MGXS):
                 raise ValueError(msg)
 
             # Switch EnergyoutFilter to EnergyFilter.
-            old_filt = self.tallies['scatter-1'].filters[-1]
+            p1_tally = self.tallies['scatter-1']
+            old_filt = p1_tally.filters[-2]
             new_filt = openmc.EnergyFilter(old_filt.values)
-            self.tallies['scatter-1'].filters[-1] = new_filt
+            p1_tally.filters[-2] = new_filt
+
+            # Slice Legendre expansion filter and change name of score
+            p1_tally = p1_tally.get_slice(filters=[openmc.LegendreFilter],
+                                          filter_bins=[('P1',)],
+                                          squeeze=True)
+            p1_tally.scores = ['scatter-1']
 
             # Compute total cross section
             total_xs = self.tallies['total'] / self.tallies['flux (tracklength)']
 
             # Compute transport correction term
-            trans_corr = self.tallies['scatter-1'] / self.tallies['flux (analog)']
+            trans_corr = p1_tally / self.tallies['flux (analog)']
 
             # Compute the transport-corrected total cross section
             self._xs_tally = total_xs - trans_corr
@@ -3510,6 +3524,7 @@ class ScatterXS(MGXS):
             self._estimator = 'analog'
             self._valid_estimators = ['analog']
 
+
 class ScatterMatrixXS(MatrixMGXS):
     r"""A scattering matrix multi-group cross section with the cosine of the
     change-in-angle represented as one or more Legendre moments or a histogram.
@@ -3598,10 +3613,10 @@ class ScatterMatrixXS(MatrixMGXS):
     name : str, optional
         Name of the multi-group cross section. Used as a label to identify
         tallies in OpenMC 'tallies.xml' file.
-    num_polar : Integral, optional
+    num_polar : int, optional
         Number of equi-width polar angle bins for angle discretization;
         defaults to one bin
-    num_azimuthal : Integral, optional
+    num_azimuthal : int, optional
         Number of equi-width azimuthal angle bins for angle discretization;
         defaults to one bin
     nu : bool
@@ -3647,9 +3662,9 @@ class ScatterMatrixXS(MatrixMGXS):
         Domain type for spatial homogenization
     energy_groups : openmc.mgxs.EnergyGroups
         Energy group structure for energy condensation
-    num_polar : Integral
+    num_polar : int
         Number of equi-width polar angle bins for angle discretization
-    num_azimuthal : Integral
+    num_azimuthal : int
         Number of equi-width azimuthal angle bins for angle discretization
     tally_trigger : openmc.Trigger
         An (optional) tally precision trigger given to each tally used to
@@ -3767,38 +3782,25 @@ class ScatterMatrixXS(MatrixMGXS):
     def scores(self):
 
         if self.formulation == 'simple':
-            scores = ['flux']
-
-            if self.scatter_format == 'legendre':
-                if self.legendre_order == 0:
-                    scores.append('{}-0'.format(self.rxn_type))
-                    if self.correction:
-                        scores.append('{}-1'.format(self.rxn_type))
-                else:
-                    scores.append('{}-P{}'.format(self.rxn_type, self.legendre_order))
-            elif self.scatter_format == 'histogram':
-                scores += [self.rxn_type]
+            scores = ['flux', self.rxn_type]
 
         else:
             # Add scores for groupwise scattering cross section
             scores = ['flux', 'scatter']
 
             # Add scores for group-to-group scattering probability matrix
-            if self.scatter_format == 'legendre':
-                if self.legendre_order == 0:
-                    scores.append('scatter-0')
-                else:
-                    scores.append('scatter-P{}'.format(self.legendre_order))
-            elif self.scatter_format == 'histogram':
-                scores.append('scatter-0')
+            # these scores also contain the angular information, whether it be
+            # Legendre expansion or histogram bins
+            scores.append('scatter')
 
-            # Add scores for multiplicity matrix
+            # Add scores for multiplicity matrix; scatter info for the
+            # denominator will come from the previous score
             if self.nu:
-                scores.extend(['nu-scatter-0', 'scatter-0'])
+                scores.append('nu-scatter')
 
             # Add scores for transport correction
             if self.correction == 'P0' and self.legendre_order == 0:
-                scores.extend(['{}-1'.format(self.rxn_type), 'flux'])
+                scores.extend([self.rxn_type, 'flux'])
 
         return scores
 
@@ -3811,15 +3813,15 @@ class ScatterMatrixXS(MatrixMGXS):
             tally_keys = ['flux (tracklength)', 'scatter']
 
             # Add keys for group-to-group scattering probability matrix
-            tally_keys.append('scatter-P{}'.format(self.legendre_order))
+            tally_keys.append('scatter matrix')
 
             # Add keys for multiplicity matrix
             if self.nu:
-                tally_keys.extend(['nu-scatter-0', 'scatter-0'])
+                tally_keys.extend(['nu-scatter'])
 
             # Add keys for transport correction
             if self.correction == 'P0' and self.legendre_order == 0:
-                tally_keys.extend(['{}-1'.format(self.rxn_type), 'flux (analog)'])
+                tally_keys.extend(['correction', 'flux (analog)'])
 
             return tally_keys
 
@@ -3836,7 +3838,7 @@ class ScatterMatrixXS(MatrixMGXS):
 
             # Add estimators for multiplicity matrix
             if self.nu:
-                estimators.extend(['analog', 'analog'])
+                estimators.extend(['analog'])
 
             # Add estimators for transport correction
             if self.correction == 'P0' and self.legendre_order == 0:
@@ -3853,13 +3855,15 @@ class ScatterMatrixXS(MatrixMGXS):
 
             if self.scatter_format == 'legendre':
                 if self.correction == 'P0' and self.legendre_order == 0:
-                    filters = [[energy], [energy, energyout], [energyout]]
+                    angle_filter = openmc.LegendreFilter(order=1)
                 else:
-                    filters = [[energy], [energy, energyout]]
+                    angle_filter = \
+                        openmc.LegendreFilter(order=self.legendre_order)
             elif self.scatter_format == 'histogram':
                 bins = np.linspace(-1., 1., num=self.histogram_bins + 1,
                                    endpoint=True)
-                filters = [[energy], [energy, energyout, openmc.MuFilter(bins)]]
+                angle_filter = openmc.MuFilter(bins)
+            filters = [[energy], [energy, energyout, angle_filter]]
 
         else:
             group_edges = self.energy_groups.group_edges
@@ -3871,19 +3875,21 @@ class ScatterMatrixXS(MatrixMGXS):
 
             # Group-to-group scattering probability matrix
             if self.scatter_format == 'legendre':
-                filters.append([energy, energyout])
+                angle_filter = openmc.LegendreFilter(order=self.legendre_order)
             elif self.scatter_format == 'histogram':
                 bins = np.linspace(-1., 1., num=self.histogram_bins + 1,
                                    endpoint=True)
-                filters.append([energy, energyout, openmc.MuFilter(bins)])
+                angle_filter = openmc.MuFilter(bins)
+            filters.append([energy, energyout, angle_filter])
 
             # Multiplicity matrix
             if self.nu:
-                filters.extend([[energy, energyout], [energy, energyout]])
+                filters.extend([[energy, energyout]])
 
             # Add filters for transport correction
             if self.correction == 'P0' and self.legendre_order == 0:
-                filters.extend([[energyout], [energy]])
+                filters.extend([[energyout, openmc.LegendreFilter(1)],
+                                [energy]])
 
         return self._add_angle_filters(filters)
 
@@ -3894,27 +3900,39 @@ class ScatterMatrixXS(MatrixMGXS):
 
             if self.formulation == 'simple':
                 if self.scatter_format == 'legendre':
-                    # If using P0 correction subtract scatter-1 from the diagonal
+                    # If using P0 correction subtract P2 scatter from the diag.
                     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(openmc.EnergyFilter)
+                        scatter_p0 = self.tallies[self.rxn_type].get_slice(
+                            filters=[openmc.LegendreFilter],
+                            filter_bins=[('P0',)])
+                        scatter_p1 = self.tallies[self.rxn_type].get_slice(
+                            filters=[openmc.LegendreFilter],
+                            filter_bins=[('P1',)])
 
-                        # Transform scatter-p1 tally into an energyin/out matrix
+                        # Set the Legendre order of these tallies to be 0
+                        # so they can be subtracted
+                        legendre = openmc.LegendreFilter(order=0)
+                        scatter_p0.filters[-1] = legendre
+                        scatter_p1.filters[-1] = legendre
+
+                        scatter_p1 = scatter_p1.summation(
+                            filter_type=openmc.EnergyFilter,
+                            remove_filter=True)
+
+                        energy_filter = \
+                            scatter_p0.find_filter(openmc.EnergyFilter)
+
+                        # Transform scatter-p1 into an energyin/out matrix
                         # to match scattering matrix shape for tally arithmetic
                         energy_filter = copy.deepcopy(energy_filter)
-                        scatter_p1 = scatter_p1.diagonalize_filter(energy_filter)
+                        scatter_p1 = \
+                            scatter_p1.diagonalize_filter(energy_filter)
+
                         self._rxn_rate_tally = scatter_p0 - scatter_p1
 
-                    # Extract scattering moment reaction rate Tally
-                    elif self.legendre_order == 0:
-                        tally_key = '{}-{}'.format(self.rxn_type,
-                                                   self.legendre_order)
-                        self._rxn_rate_tally = self.tallies[tally_key]
+                    # Otherwise, 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 = self.tallies[self.rxn_type]
                 elif self.scatter_format == 'histogram':
                     # Extract scattering rate distribution tally
                     self._rxn_rate_tally = self.tallies[self.rxn_type]
@@ -3941,35 +3959,24 @@ class ScatterMatrixXS(MatrixMGXS):
                 self._xs_tally = MGXS.xs_tally.fget(self)
 
             else:
-                # Compute scattering probability matrix
-                energyout_bins = [self.energy_groups.get_group_bounds(i)
-                                  for i in range(self.num_groups, 0, -1)]
-                tally_key = 'scatter-P{}'.format(self.legendre_order)
+                # Compute scattering probability matrixS
+                tally_key = 'scatter matrix'
 
                 # Compute normalization factor summed across outgoing energies
-                norm = self.tallies[tally_key].get_slice(scores=['scatter-0'])
-                norm = norm.summation(
-                    filter_type=openmc.EnergyoutFilter, filter_bins=energyout_bins)
-
-                # Remove the AggregateFilter summed across energyout bins
-                norm._filters = norm._filters[:2]
+                if self.scatter_format == 'legendre':
+                    norm = self.tallies[tally_key].get_slice(
+                        scores=['scatter'],
+                        filters=[openmc.LegendreFilter],
+                        filter_bins=[('P0',)], squeeze=True)
 
                 # Compute normalization factor summed across outgoing mu bins
-                if self.scatter_format == 'histogram':
-
-                    # (Re-)append the MuFilter which was removed above
-                    mu_bins = np.linspace(
-                        -1., 1., num=self.histogram_bins + 1, endpoint=True)
-                    norm._filters.append(openmc.MuFilter(mu_bins))
-
-                    # Sum across all mu bins
-                    mu_bins = [(mu_bins[i], mu_bins[i+1]) for
-                               i in range(self.histogram_bins)]
+                elif self.scatter_format == 'histogram':
+                    norm = self.tallies[tally_key].get_slice(
+                        scores=['scatter'])
                     norm = norm.summation(
-                        filter_type=openmc.MuFilter, filter_bins=mu_bins)
-
-                    # Remove the AggregateFilter summed across mu bins
-                    norm._filters = norm._filters[:2]
+                        filter_type=openmc.MuFilter, remove_filter=True)
+                norm = norm.summation(filter_type=openmc.EnergyoutFilter,
+                                      remove_filter=True)
 
                 # Compute groupwise scattering cross section
                 self._xs_tally = self.tallies['scatter'] * \
@@ -3981,15 +3988,36 @@ class ScatterMatrixXS(MatrixMGXS):
 
                 # Multiply by the multiplicity matrix
                 if self.nu:
-                    numer = self.tallies['nu-scatter-0']
-                    denom = self.tallies['scatter-0']
+                    numer = self.tallies['nu-scatter']
+                    # Get the denominator
+                    if self.scatter_format == 'legendre':
+                        denom = self.tallies[tally_key].get_slice(
+                            scores=['scatter'],
+                            filters=[openmc.LegendreFilter],
+                            filter_bins=[('P0',)], squeeze=True)
+
+                    # Compute normalization factor summed across mu bins
+                    elif self.scatter_format == 'histogram':
+                        denom = self.tallies[tally_key].get_slice(
+                            scores=['scatter'])
+
+                        # Sum across all mu bins
+                        denom = denom.summation(
+                            filter_type=openmc.MuFilter, remove_filter=True)
+
                     self._xs_tally *= (numer / denom)
 
                 # If using P0 correction subtract scatter-1 from the diagonal
                 if self.correction == 'P0' and self.legendre_order == 0:
-                    scatter_p1 = self.tallies['{}-1'.format(self.rxn_type)]
+                    scatter_p1 = self.tallies['correction'].get_slice(
+                        filters=[openmc.LegendreFilter], filter_bins=[('P1',)])
                     flux = self.tallies['flux (analog)']
 
+                    # Set the Legendre order of the P1 tally to be P0
+                    # so it can be subtracted
+                    legendre = openmc.LegendreFilter(order=0)
+                    scatter_p1.filters[-1] = legendre
+
                     # Transform scatter-p1 tally into an energyin/out matrix
                     # to match scattering matrix shape for tally arithmetic
                     energy_filter = flux.find_filter(openmc.EnergyFilter)
@@ -4001,10 +4029,34 @@ class ScatterMatrixXS(MatrixMGXS):
 
                     # Override the nuclides for tally arithmetic
                     correction.nuclides = scatter_p1.nuclides
+
+                    # Set xs_tally to be itself with only P0 data
+                    self._xs_tally = self._xs_tally.get_slice(
+                        filters=[openmc.LegendreFilter], filter_bins=[('P0',)])
+                    # Tell xs_tally that it is P0
+                    legendre_xs_tally = \
+                        self._xs_tally.find_filter(openmc.LegendreFilter)
+                    legendre_xs_tally.order = 0
+
+                    # And subtract the P1 correction from the P0 matrix
                     self._xs_tally -= correction
 
                 self._compute_xs()
 
+                # Force the angle filter to be the last filter
+                if self.scatter_format == 'histogram':
+                    angle_filter = self._xs_tally.find_filter(openmc.MuFilter)
+                else:
+                    angle_filter = \
+                        self._xs_tally.find_filter(openmc.LegendreFilter)
+                angle_filter_index = self._xs_tally.filters.index(angle_filter)
+                # If the angle filter index is not last, then make it last
+                if angle_filter_index != len(self._xs_tally.filters) - 1:
+                    energyout_filter = \
+                        self._xs_tally.find_filter(openmc.EnergyoutFilter)
+                    self._xs_tally._swap_filters(energyout_filter,
+                                                 angle_filter)
+
         return self._xs_tally
 
     @nu.setter
@@ -4125,16 +4177,6 @@ class ScatterMatrixXS(MatrixMGXS):
             self._rxn_rate_tally = None
             self._loaded_sp = False
 
-        if self.scatter_format == 'legendre':
-            # Expand scores to match the format in the statepoint
-            # e.g., "scatter-P2" -> "scatter-0", "scatter-1", "scatter-2"
-            for tally_key, tally in self.tallies.items():
-                if 'scatter-P' in tally.scores[0]:
-                    score_prefix = tally.scores[0].split('P')[0]
-                    self.tallies[tally_key].scores = \
-                        [score_prefix + '{}'.format(i)
-                         for i in range(self.legendre_order + 1)]
-
         super().load_from_statepoint(statepoint)
 
     def get_slice(self, nuclides=[], in_groups=[], out_groups=[],
@@ -4187,12 +4229,11 @@ class ScatterMatrixXS(MatrixMGXS):
             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)
+            filter_bins = [tuple(['P{}'.format(i)
+                                  for i in range(self.legendre_order + 1)])]
+            slice_xs.tallies[self.rxn_type] = \
+                slice_xs.tallies[self.rxn_type].get_slice(
+                    filters=[openmc.LegendreFilter], filter_bins=filter_bins)
 
         # Slice outgoing energy groups if needed
         if len(out_groups) != 0:
@@ -4206,7 +4247,8 @@ class ScatterMatrixXS(MatrixMGXS):
             for tally_type, tally in slice_xs.tallies.items():
                 if tally.contains_filter(openmc.EnergyoutFilter):
                     tally_slice = tally.get_slice(
-                        filters=[openmc.EnergyoutFilter], filter_bins=filter_bins)
+                        filters=[openmc.EnergyoutFilter],
+                        filter_bins=filter_bins)
                     slice_xs.tallies[tally_type] = tally_slice
 
         slice_xs.sparse = self.sparse
@@ -4317,14 +4359,19 @@ class ScatterMatrixXS(MatrixMGXS):
                 filter_bins.append((self.energy_groups.get_group_bounds(group),))
 
         # Construct CrossScore for requested scattering moment
-        if moment != 'all' and self.scatter_format == 'legendre':
-            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]]
+        if self.scatter_format == 'legendre':
+            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)
+                filters.append(openmc.LegendreFilter)
+                filter_bins.append(('P{}'.format(moment),))
+                num_angle_bins = 1
+            else:
+                num_angle_bins = self.legendre_order + 1
         else:
-            scores = []
+            num_angle_bins = self.histogram_bins
 
         # Construct a collection of the nuclides to retrieve from the xs tally
         if self.by_nuclide:
@@ -4336,6 +4383,7 @@ class ScatterMatrixXS(MatrixMGXS):
             query_nuclides = ['total']
 
         # Use tally summation if user requested the sum for all nuclides
+        scores = self.xs_tally.scores
         if nuclides == 'sum' or nuclides == ['sum']:
             xs_tally = self.xs_tally.summation(nuclides=query_nuclides)
             xs = xs_tally.get_values(scores=scores, filters=filters,
@@ -4367,24 +4415,15 @@ class ScatterMatrixXS(MatrixMGXS):
         else:
             num_out_groups = len(out_groups)
 
-        if self.scatter_format == 'histogram':
-            num_mu_bins = self.histogram_bins
-        else:
-            num_mu_bins = 1
-
         # Reshape tally data array with separate axes for domain and energy
         # Accomodate the polar and azimuthal bins if needed
-        num_subdomains = int(xs.shape[0] / (num_mu_bins * num_in_groups *
+        num_subdomains = int(xs.shape[0] / (num_angle_bins * num_in_groups *
                                             num_out_groups * self.num_polar *
                                             self.num_azimuthal))
         if self.num_polar > 1 or self.num_azimuthal > 1:
-            if self.scatter_format == 'histogram':
-                new_shape = (self.num_polar, self.num_azimuthal,
-                             num_subdomains, num_in_groups, num_out_groups,
-                             num_mu_bins)
-            else:
-                new_shape = (self.num_polar, self.num_azimuthal,
-                             num_subdomains, num_in_groups, num_out_groups)
+            new_shape = (self.num_polar, self.num_azimuthal,
+                         num_subdomains, num_in_groups, num_out_groups,
+                         num_angle_bins)
             new_shape += xs.shape[1:]
             xs = np.reshape(xs, new_shape)
 
@@ -4397,11 +4436,9 @@ class ScatterMatrixXS(MatrixMGXS):
             if order_groups == 'increasing':
                 xs = xs[:, :, :, ::-1, ::-1, ...]
         else:
-            if self.scatter_format == 'histogram':
-                new_shape = (num_subdomains, num_in_groups, num_out_groups,
-                             num_mu_bins)
-            else:
-                new_shape = (num_subdomains, num_in_groups, num_out_groups)
+            new_shape = (num_subdomains, num_in_groups, num_out_groups,
+                         num_angle_bins)
+
             new_shape += xs.shape[1:]
             xs = np.reshape(xs, new_shape)
 
@@ -4416,14 +4453,14 @@ class ScatterMatrixXS(MatrixMGXS):
 
         if squeeze:
             # We want to squeeze out everything but the angles, in_groups,
-            # out_groups, and, if needed, num_mu_bins dimension. These must
+            # out_groups, and, if needed, num_angle_bins dimension. These must
             # not be squeezed so 1-group, 1-angle problems have the correct
             # shape.
             xs = self._squeeze_xs(xs)
         return xs
 
-    def get_pandas_dataframe(self, groups='all', nuclides='all', moment='all',
-                             xs_type='macro', paths=True):
+    def get_pandas_dataframe(self, groups='all', nuclides='all',
+                             xs_type='macro', paths=False):
         """Build a Pandas DataFrame for the MGXS data.
 
         This method leverages :meth:`openmc.Tally.get_pandas_dataframe`, but
@@ -4438,19 +4475,15 @@ class ScatterMatrixXS(MatrixMGXS):
             may be a list of nuclide name strings (e.g., ['U235', 'U238']).
             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.
+            include the cross sections summed over all nuclides. Defaults to
+            'all'.
         xs_type: {'macro', 'micro'}
             Return macro or micro cross section in units of cm^-1 or barns.
             Defaults to 'macro'.
         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
+            The geometric information in the Summary object is embedded into
+            a Multi-index column with a geometric "path" to each distribcell
             instance.
 
         Returns
@@ -4466,35 +4499,13 @@ class ScatterMatrixXS(MatrixMGXS):
 
         """
 
-        df = super().get_pandas_dataframe(groups, nuclides, xs_type, paths)
+        # Build the dataframe using the parent class method
+        df = super().get_pandas_dataframe(groups, nuclides, xs_type,
+                                          paths=paths)
 
-        if self.scatter_format == 'legendre':
-            # 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, int(df.shape[0] / len(moments)))
-                df['moment'] = moments
-
-                # Place the moment column before the mean column
-                columns = df.columns.tolist()
-                mean_index \
-                    = [i for i, s in enumerate(columns) if 'mean' in s][0]
-                if self.domain_type == 'mesh':
-                    df = df[columns[:mean_index] + [('moment', '')] +
-                            columns[mean_index:-1]]
-                else:
-                    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)]
+        # If the matrix is P0, remove the legendre column
+        if self.scatter_format == 'legendre' and self.legendre_order == 0:
+            df = df.drop(axis=1, labels=['legendre'])
 
         return df
 
@@ -4511,8 +4522,9 @@ class ScatterMatrixXS(MatrixMGXS):
             The nuclides of the cross-sections to include in the report. This
             may be a list of nuclide name strings (e.g., ['U235', 'U238']).
             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'.
+            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'.
@@ -4986,14 +4998,9 @@ class ScatterProbabilityMatrix(MatrixMGXS):
     def xs_tally(self):
 
         if self._xs_tally is None:
-            energyout_bins = [self.energy_groups.get_group_bounds(i)
-                              for i in range(self.num_groups, 0, -1)]
             norm = self.rxn_rate_tally.get_slice(scores=[self.rxn_type])
             norm = norm.summation(
-                filter_type=openmc.EnergyoutFilter, filter_bins=energyout_bins)
-
-            # Remove the AggregateFilter summed across energyout bins
-            norm._filters = norm._filters[:2]
+                filter_type=openmc.EnergyoutFilter, remove_filter=True)
 
             # Compute the group-to-group probabilities
             self._xs_tally = self.tallies[self.rxn_type] / norm
diff --git a/openmc/model/triso.py b/openmc/model/triso.py
index 5fe51b6644..1e4b4aa9b1 100644
--- a/openmc/model/triso.py
+++ b/openmc/model/triso.py
@@ -113,8 +113,7 @@ class _Domain(metaclass=ABCMeta):
         Length in x-, y-, and z- directions of each cell in mesh overlaid on
         domain.
     limits : list of float
-        Minimum and maximum position in x-, y-, and z-directions where particle
-        center can be placed.
+        Constraint on where particle center can be placed.
     volume : float
         Volume of the container.
 
@@ -158,8 +157,6 @@ class _Domain(metaclass=ABCMeta):
             raise ValueError('Unable to set domain center to {} since it must '
                              'be of length 3'.format(center))
         self._center = [float(x) for x in center]
-        self._limits = None
-        self._cell_length = None
 
     def mesh_cell(self, p):
         """Calculate the index of the cell in a mesh overlaid on the domain in
@@ -211,6 +208,26 @@ class _Domain(metaclass=ABCMeta):
         """
         pass
 
+    @abstractmethod
+    def repel_particles(self, p, q, d, d_new):
+        """Move particles p and q apart according to the following
+        transformation (accounting for boundary conditions on domain):
+
+            r_i^(n+1) = r_i^(n) + 1/2(d_out^(n+1) - d^(n))
+            r_j^(n+1) = r_j^(n) - 1/2(d_out^(n+1) - d^(n))
+
+        Parameters
+        ----------
+        p, q : numpy.ndarray
+            Cartesian coordinates of particle center.
+        d : float
+            distance between centers of particles i and j.
+        d_new : float
+            final distance between centers of particles i and j.
+
+        """
+        pass
+
 
 class _CubicDomain(_Domain):
     """Cubic container in which to pack particles.
@@ -238,7 +255,7 @@ class _CubicDomain(_Domain):
         Length in x-, y-, and z- directions of each cell in mesh overlaid on
         domain.
     limits : list of float
-        Minimum and maximum position in x-, y-, and z-directions where particle
+        Maximum distance from center in x-, y-, or z-direction where particle
         center can be placed.
     volume : float
         Volume of the container.
@@ -256,9 +273,7 @@ class _CubicDomain(_Domain):
     @property
     def limits(self):
         if self._limits is None:
-            xlim = self.length/2 - self.particle_radius
-            self._limits = [[x - xlim for x in self.center],
-                            [x + xlim for x in self.center]]
+            self._limits = [self.length/2 - self.particle_radius]
         return self._limits
 
     @property
@@ -284,9 +299,27 @@ class _CubicDomain(_Domain):
         self._limits = limits
 
     def random_point(self):
-        return [uniform(self.limits[0][0], self.limits[1][0]),
-                uniform(self.limits[0][1], self.limits[1][1]),
-                uniform(self.limits[0][2], self.limits[1][2])]
+        x_max = self.limits[0]
+        return [uniform(-x_max, x_max),
+                uniform(-x_max, x_max),
+                uniform(-x_max, x_max)]
+
+    def repel_particles(self, p, q, d, d_new):
+        # Moving each particle distance 's' away from the other along the line
+        # joining the particle centers will ensure their final distance is
+        # equal to the outer diameter
+        s = (d_new - d)/2
+
+        v = (p - q)/d
+        p += s*v
+        q -= s*v
+
+        # Enforce the rigid boundary by moving each particle back along the
+        # surface normal until it is completely within the container if it
+        # overlaps the surface
+        x_max = self.limits[0]
+        p[:] = np.clip(p, -x_max, x_max)
+        q[:] = np.clip(q, -x_max, x_max)
 
 
 class _CylindricalDomain(_Domain):
@@ -317,8 +350,8 @@ class _CylindricalDomain(_Domain):
         Length in x-, y-, and z- directions of each cell in mesh overlaid on
         domain.
     limits : list of float
-        Minimum and maximum position in x-, y-, and z-directions where particle
-        center can be placed.
+        Maximum radial distance and maximum distance from center in z-direction
+        where particle center can be placed.
     volume : float
         Volume of the container.
 
@@ -340,12 +373,8 @@ class _CylindricalDomain(_Domain):
     @property
     def limits(self):
         if self._limits is None:
-            xlim = self.length/2 - self.particle_radius
-            rlim = self.radius - self.particle_radius
-            self._limits = [[self.center[0] - rlim, self.center[1] - rlim,
-                             self.center[2] - xlim],
-                            [self.center[0] + rlim, self.center[1] + rlim,
-                             self.center[2] + xlim]]
+            self._limits = [self.radius - self.particle_radius,
+                            self.length/2 - self.particle_radius]
         return self._limits
 
     @property
@@ -377,10 +406,37 @@ class _CylindricalDomain(_Domain):
         self._limits = limits
 
     def random_point(self):
-        r = sqrt(uniform(0, (self.radius - self.particle_radius)**2))
+        r_max = self.limits[0]
+        z_max = self.limits[1]
+        r = sqrt(uniform(0, r_max**2))
         t = uniform(0, 2*pi)
-        return [r*cos(t) + self.center[0], r*sin(t) + self.center[1],
-                uniform(self.limits[0][2], self.limits[1][2])]
+        return [r*cos(t), r*sin(t), uniform(-z_max, z_max)]
+
+    def repel_particles(self, p, q, d, d_new):
+        # Moving each particle distance 's' away from the other along the line
+        # joining the particle centers will ensure their final distance is
+        # equal to the outer diameter
+        s = (d_new - d)/2
+
+        v = (p - q)/d
+        p += s*v
+        q -= s*v
+
+        # Enforce the rigid boundary by moving each particle back along the
+        # surface normal until it is completely within the container if it
+        # overlaps the surface
+        r_max = self.limits[0]
+        z_max = self.limits[1]
+
+        r = sqrt(p[0]**2 + p[1]**2)
+        if r > r_max:
+            p[0:2] *= r_max/r
+        p[2] = np.clip(p[2], -z_max, z_max)
+
+        r = sqrt(q[0]**2 + q[1]**2)
+        if r > r_max:
+            q[0:2] *= r_max/r
+        q[2] = np.clip(q[2], -z_max, z_max)
 
 
 class _SphericalDomain(_Domain):
@@ -407,8 +463,7 @@ class _SphericalDomain(_Domain):
         Length in x-, y-, and z- directions of each cell in mesh overlaid on
         domain.
     limits : list of float
-        Minimum and maximum position in x-, y-, and z-directions where particle
-        center can be placed.
+        Maximum radial distance where particle center can be placed.
     volume : float
         Volume of the container.
 
@@ -425,9 +480,7 @@ class _SphericalDomain(_Domain):
     @property
     def limits(self):
         if self._limits is None:
-            rlim = self.radius - self.particle_radius
-            self._limits = [[x - rlim for x in self.center],
-                            [x + rlim for x in self.center]]
+            self._limits = [self.radius - self.particle_radius]
         return self._limits
 
     @property
@@ -453,10 +506,33 @@ class _SphericalDomain(_Domain):
         self._limits = limits
 
     def random_point(self):
+        r_max = self.limits[0]
         x = (gauss(0, 1), gauss(0, 1), gauss(0, 1))
-        r = (uniform(0, (self.radius - self.particle_radius)**3)**(1/3) /
-             sqrt(x[0]**2 + x[1]**2 + x[2]**2))
-        return [r*x[i] + self.center[i] for i in range(3)]
+        r = (uniform(0, r_max**3)**(1/3) / sqrt(x[0]**2 + x[1]**2 + x[2]**2))
+        return [r*s for s in x]
+
+    def repel_particles(self, p, q, d, d_new):
+        # Moving each particle distance 's' away from the other along the line
+        # joining the particle centers will ensure their final distance is
+        # equal to the outer diameter
+        s = (d_new - d)/2
+
+        v = (p - q)/d
+        p += s*v
+        q -= s*v
+
+        # Enforce the rigid boundary by moving each particle back along the
+        # surface normal until it is completely within the container if it
+        # overlaps the surface
+        r_max = self.limits[0]
+
+        r = sqrt(p[0]**2 + p[1]**2 + p[2]**2)
+        if r > r_max:
+            p *= r_max/r
+
+        r = sqrt(q[0]**2 + q[1]**2 + q[2]**2)
+        if r > r_max:
+            q *= r_max/r
 
 
 def create_triso_lattice(trisos, lower_left, pitch, shape, background):
@@ -636,6 +712,7 @@ def _close_random_pack(domain, particles, contraction_rate):
                 del rods_map[i]
                 del rods_map[j]
                 return d, i, j
+        return None, None, None
 
     def create_rod_list():
         """Generate sorted list of rods (distances between particle centers).
@@ -660,8 +737,8 @@ def _close_random_pack(domain, particles, contraction_rate):
         # Find distance to nearest neighbor and index of nearest neighbor for
         # all particles
         d, n = tree.query(particles, k=2)
-        d = d[:,1]
-        n = n[:,1]
+        d = d[:, 1]
+        n = n[:, 1]
 
         # Array of particle indices, indices of nearest neighbors, and
         # distances to nearest neighbors
@@ -670,8 +747,8 @@ def _close_random_pack(domain, particles, contraction_rate):
         # Sort along second column and swap first and second columns to create
         # array of nearest neighbor indices, indices of particles they are
         # nearest neighbors of, and distances between them
-        b = a[a[:,1].argsort()]
-        b[:,[0, 1]] = b[:,[1, 0]]
+        b = a[a[:, 1].argsort()]
+        b[:, [0, 1]] = b[:, [1, 0]]
 
         # Find the intersection between 'a' and 'b': a list of particles who
         # are each other's nearest neighbors and the distance between them
@@ -685,12 +762,8 @@ def _close_random_pack(domain, particles, contraction_rate):
         del rods[:]
         rods_map.clear()
         for d, i, j in r:
-            add_rod(d, i, j)
-
-        # Inner diameter is set initially to the shortest center-to-center
-        # distance between any two particles
-        if rods:
-            inner_diameter[0] = rods[0][0]
+            if d < outer_diameter and not np.isclose(d, outer_diameter, atol=1.0e-14):
+                add_rod(d, i, j)
 
     def update_mesh(i):
         """Update which mesh cells the particle is in based on new particle
@@ -729,50 +802,19 @@ def _close_random_pack(domain, particles, contraction_rate):
 
             j = floor(-log10(pf_out - pf_in)).
 
+        Returns
+        -------
+        float
+            New outer diameter
+
         """
 
-        inner_pf = (4/3 * pi * (inner_diameter[0]/2)**3 * n_particles /
-                    domain.volume)
-        outer_pf = (4/3 * pi * (outer_diameter[0]/2)**3 * n_particles /
-                    domain.volume)
+        inner_pf = 4/3*pi*(inner_diameter/2)**3*n_particles/domain.volume
+        outer_pf = 4/3*pi*(outer_diameter/2)**3*n_particles/domain.volume
 
         j = floor(-log10(outer_pf - inner_pf))
-        outer_diameter[0] = (outer_diameter[0] - 0.5**j * contraction_rate *
-                             initial_outer_diameter / n_particles)
-
-
-    def repel_particles(i, j, d):
-        """Move particles p and q apart according to the following
-        transformation (accounting for reflective boundary conditions on
-        domain):
-
-            r_i^(n+1) = r_i^(n) + 1/2(d_out^(n+1) - d^(n))
-            r_j^(n+1) = r_j^(n) - 1/2(d_out^(n+1) - d^(n))
-
-        Parameters
-        ----------
-        i, j : int
-            Index of particles in particles array.
-        d : float
-            distance between centers of particles i and j.
-
-        """
-
-        # Moving each particle distance 'r' away from the other along the line
-        # joining the particle centers will ensure their final distance is equal
-        # to the outer diameter
-        r = (outer_diameter[0] - d)/2
-
-        v = (particles[i] - particles[j])/d
-        particles[i] += r*v
-        particles[j] -= r*v
-
-        # Apply reflective boundary conditions
-        particles[i] = particles[i].clip(domain.limits[0], domain.limits[1])
-        particles[j] = particles[j].clip(domain.limits[0], domain.limits[1])
-
-        update_mesh(i)
-        update_mesh(j)
+        return (outer_diameter - 0.5**j * contraction_rate *
+                initial_outer_diameter / n_particles)
 
     def nearest(i):
         """Find index of nearest neighbor of particle i.
@@ -803,14 +845,14 @@ def _close_random_pack(domain, particles, contraction_rate):
         else:
             return None, None
 
-    def update_rod_list(i, j):
-        """Update the rod list with the new nearest neighbors of particles i
-        and j since their overlap was eliminated.
+    def update_rod_list(i):
+        """Update the rod list with the new nearest neighbors of particle since
+        its overlap was eliminated.
 
         Parameters
         ----------
-        i, j : int
-            Index of particles in particles array.
+        i : int
+            Index of particle in particles array.
 
         """
 
@@ -818,18 +860,10 @@ def _close_random_pack(domain, particles, contraction_rate):
         # remove the rod currently containing k from the rod list and add rod
         # k-i, keeping the rod list sorted
         k, d_ik = nearest(i)
-        if k and nearest(k)[0] == i:
+        if (k and nearest(k)[0] == i and d_ik < outer_diameter
+            and not np.isclose(d, outer_diameter, atol=1.0e-14)):
             remove_rod(k)
             add_rod(d_ik, i, k)
-        l, d_jl = nearest(j)
-        if l and nearest(l)[0] == j:
-            remove_rod(l)
-            add_rod(d_jl, j, l)
-
-        # Set inner diameter to the shortest distance between two particle
-        # centers
-        if rods:
-            inner_diameter[0] = rods[0][0]
 
     n_particles = len(particles)
     diameter = 2*domain.particle_radius
@@ -841,36 +875,71 @@ def _close_random_pack(domain, particles, contraction_rate):
     initial_outer_diameter = 2*(domain.volume/(n_particles*4/3*pi))**(1/3)
 
     # Inner and outer diameter of particles will change during packing
-    outer_diameter = [initial_outer_diameter]
-    inner_diameter = [0]
+    outer_diameter = initial_outer_diameter
+    inner_diameter = 0.
 
+    # List of rods arranged in a heap and mapping of particle ids to rods
     rods = []
     rods_map = {}
+
+    # Initialize two-way dictionary that identifies which particles are near a
+    # given mesh cell and which mesh cells a particle is near
     mesh = defaultdict(set)
     mesh_map = defaultdict(set)
-
     for i in range(n_particles):
         for idx in domain.nearby_mesh_cells(particles[i]):
             mesh[idx].add(i)
             mesh_map[i].add(idx)
 
     while True:
+        # Rebuild the sorted list of rods according to the current particle
+        # configuration
         create_rod_list()
-        if inner_diameter[0] >= diameter:
+
+        # Set the inner diameter to the shortest center-to-center distance
+        # between any two particles
+        if rods:
+            inner_diameter = rods[0][0]
+
+        # Reached the desired particle radius
+        if inner_diameter >= diameter:
             break
+
+        # The algorithm converged before reaching the desired particle radius.
+        # This can happen when the desired packing fraction is close to the
+        # packing fraction limit. The packing fraction is a random variable
+        # that is determined by the particle locations and the contraction
+        # rate. A higher packing fraction can be achieved with a smaller
+        # contraction rate, though at the cost of a longer simulation time --
+        # the number of iterations needed to remove all overlaps is inversely
+        # proportional to the contraction rate.
+        if inner_diameter >= outer_diameter or not rods:
+            warnings.warn('Close random pack converged before reaching true '
+                          'particle radius; some particles may overlap. Try '
+                          'reducing contraction rate or packing fraction.')
+            break
+
         while True:
             d, i, j = pop_rod()
-            reduce_outer_diameter()
-            repel_particles(i, j, d)
-            update_rod_list(i, j)
-            if inner_diameter[0] >= diameter or not rods:
+            if not d:
+                break
+            outer_diameter = reduce_outer_diameter()
+            domain.repel_particles(particles[i], particles[j], d, outer_diameter)
+            update_mesh(i)
+            update_mesh(j)
+            update_rod_list(i)
+            update_rod_list(j)
+            if not rods:
+                break
+            inner_diameter = rods[0][0]
+            if inner_diameter >= diameter or inner_diameter >= outer_diameter:
                 break
 
 
 def pack_trisos(radius, fill, domain_shape='cylinder', domain_length=None,
                 domain_radius=None, domain_center=[0., 0., 0.],
                 n_particles=None, packing_fraction=None,
-                initial_packing_fraction=0.3, contraction_rate=1/400, seed=1):
+                initial_packing_fraction=0.3, contraction_rate=1.e-3, seed=1):
     """Generate a random, non-overlapping configuration of TRISO particles
     within a container.
 
@@ -933,7 +1002,7 @@ def pack_trisos(radius, fill, domain_shape='cylinder', domain_length=None,
     to speed up the nearest neighbor search by only searching for a particle's
     neighbors within that mesh cell.
 
-    In CRP, each particle is assigned two diameters, and inner and an outer,
+    In CRP, each particle is assigned two diameters, an inner and an outer,
     which approach each other during the simulation. The inner diameter,
     defined as the minimum center-to-center distance, is the true diameter of
     the particles and defines the pf. At each iteration the worst overlap
@@ -1008,8 +1077,7 @@ def pack_trisos(radius, fill, domain_shape='cylinder', domain_length=None,
     # Recalculate the limits for the initial random sequential packing using
     # the desired final particle radius to ensure particles are fully contained
     # within the domain during the close random pack
-    domain.limits = [[x - initial_radius + radius for x in domain.limits[0]],
-                     [x + initial_radius - radius for x in domain.limits[1]]]
+    domain.limits = [x + initial_radius - radius for x in domain.limits]
 
     # Generate non-overlapping particles for an initial inner radius using
     # random sequential packing algorithm
@@ -1024,5 +1092,5 @@ def pack_trisos(radius, fill, domain_shape='cylinder', domain_length=None,
 
     trisos = []
     for p in particles:
-        trisos.append(TRISO(radius, fill, p))
+        trisos.append(TRISO(radius, fill, [x + c for x, c in zip(p, domain.center)]))
     return trisos
diff --git a/openmc/plotter.py b/openmc/plotter.py
index 191b50c563..597a87750b 100644
--- a/openmc/plotter.py
+++ b/openmc/plotter.py
@@ -170,13 +170,13 @@ def plot_xs(this, types, divisor_types=None, temperature=294., data_type=None,
             data = data_new
     else:
         # Calculate for MG cross sections
-        E, data = calculate_mgxs(this, types, orders, temperature,
+        E, data = calculate_mgxs(this, data_type, types, orders, temperature,
                                  mg_cross_sections, ce_cross_sections,
                                  enrichment)
 
         if divisor_types:
             cv.check_length('divisor types', divisor_types, len(types))
-            Ediv, data_div = calculate_mgxs(this, divisor_types,
+            Ediv, data_div = calculate_mgxs(this, data_type, divisor_types,
                                             divisor_orders, temperature,
                                             mg_cross_sections,
                                             ce_cross_sections, enrichment)
@@ -243,7 +243,7 @@ def calculate_cexs(this, data_type, types, temperature=294., sab_name=None,
 
     Parameters
     ----------
-    this : str or openmc.Material
+    this : {str, openmc.Nuclide, openmc.Element, openmc.Material}
         Object to source data from
     data_type : {'nuclide', 'element', material'}
         Type of object to plot
@@ -280,7 +280,11 @@ def calculate_cexs(this, data_type, types, temperature=294., sab_name=None,
         cv.check_type('enrichment', enrichment, Real)
 
     if data_type == 'nuclide':
-        energy_grid, xs = _calculate_cexs_nuclide(this, types, temperature,
+        if isinstance(this, str):
+            nuc = openmc.Nuclide(this)
+        else:
+            nuc = this
+        energy_grid, xs = _calculate_cexs_nuclide(nuc, types, temperature,
                                                   sab_name, cross_sections)
         # Convert xs (Iterable of Callable) to a grid of cross section values
         # calculated on @ the points in energy_grid for consistency with the
@@ -289,10 +293,15 @@ def calculate_cexs(this, data_type, types, temperature=294., sab_name=None,
         for line in range(len(types)):
             data[line, :] = xs[line](energy_grid)
     elif data_type == 'element':
-        energy_grid, data = _calculate_cexs_elem_mat(this, types, temperature,
+        if isinstance(this, str):
+            elem = openmc.Element(this)
+        else:
+            elem = this
+        energy_grid, data = _calculate_cexs_elem_mat(elem, types, temperature,
                                                      cross_sections, sab_name,
                                                      enrichment)
     elif data_type == 'material':
+        cv.check_type('this', this, openmc.Material)
         energy_grid, data = _calculate_cexs_elem_mat(this, types, temperature,
                                                      cross_sections)
     else:
@@ -518,10 +527,8 @@ def _calculate_cexs_elem_mat(this, types, temperature=294.,
             T = this.temperature
         else:
             T = temperature
-        data_type = 'material'
     else:
         T = temperature
-        data_type = 'element'
 
     # Load the library
     library = openmc.data.DataLibrary.from_xml(cross_sections)
@@ -571,7 +578,7 @@ def _calculate_cexs_elem_mat(this, types, temperature=294.,
         name = nuclide[0]
         nuc = nuclide[1]
         sab_tab = sabs[name]
-        temp_E, temp_xs = calculate_cexs(nuc, data_type, types, T, sab_tab,
+        temp_E, temp_xs = calculate_cexs(nuc, 'nuclide', types, T, sab_tab,
                                          cross_sections)
         E.append(temp_E)
         # Since the energy grids are different, store the cross sections as
diff --git a/openmc/statepoint.py b/openmc/statepoint.py
index eb011d8742..a200e900e1 100644
--- a/openmc/statepoint.py
+++ b/openmc/statepoint.py
@@ -150,6 +150,8 @@ class StatePoint(object):
 
     def __exit__(self, *exc):
         self._f.close()
+        if self._summary is not None:
+            self._summary._f.close()
 
     @property
     def cmfd_on(self):
@@ -405,17 +407,10 @@ class StatePoint(object):
                     scores = group['score_bins'].value
                     n_score_bins = group['n_score_bins'].value
 
-                    # Read scattering moment order strings (e.g., P3, Y1,2, etc.)
-                    moments = group['moment_orders'].value
-
                     # Add the scores to the Tally
                     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)
 
                     # Add Tally to the global dictionary of all Tallies
diff --git a/openmc/summary.py b/openmc/summary.py
index aa98025c08..10898290a3 100644
--- a/openmc/summary.py
+++ b/openmc/summary.py
@@ -9,7 +9,7 @@ import openmc
 import openmc.checkvalue as cv
 from openmc.region import Region
 
-_VERSION_SUMMARY = 5
+_VERSION_SUMMARY = 6
 
 
 class Summary(object):
@@ -26,6 +26,8 @@ class Summary(object):
     nuclides : dict
         Dictionary whose keys are nuclide names and values are atomic weight
         ratios.
+    macroscopics : list
+        Names of macroscopic data sets
     version: tuple of int
         Version of OpenMC
 
@@ -44,13 +46,15 @@ class Summary(object):
         self._fast_materials = {}
         self._fast_surfaces = {}
         self._fast_cells = {}
-        self._fast_universes  = {}
+        self._fast_universes = {}
         self._fast_lattices = {}
 
         self._materials = openmc.Materials()
         self._nuclides = {}
+        self._macroscopics = []
 
         self._read_nuclides()
+        self._read_macroscopics()
         with warnings.catch_warnings():
             warnings.simplefilter("ignore", openmc.IDWarning)
             self._read_geometry()
@@ -71,15 +75,26 @@ class Summary(object):
     def nuclides(self):
         return self._nuclides
 
+    @property
+    def macroscopics(self):
+        return self._macroscopics
+
     @property
     def version(self):
         return tuple(self._f.attrs['openmc_version'])
 
     def _read_nuclides(self):
-        names = self._f['nuclides/names'].value
-        awrs = self._f['nuclides/awrs'].value
-        for name, awr in zip(names, awrs):
-            self._nuclides[name.decode()] = awr
+        if 'nuclides/names' in self._f:
+            names = self._f['nuclides/names'].value
+            awrs = self._f['nuclides/awrs'].value
+            for name, awr in zip(names, awrs):
+                self._nuclides[name.decode()] = awr
+
+    def _read_macroscopics(self):
+        if 'macroscopics/names' in self._f:
+            names = self._f['macroscopics/names'].value
+            for name in names:
+                self._macroscopics = name.decode()
 
     def _read_geometry(self):
         # Read in and initialize the Materials and Geometry
diff --git a/openmc/tallies.py b/openmc/tallies.py
index 50398b786e..a5341cbedd 100644
--- a/openmc/tallies.py
+++ b/openmc/tallies.py
@@ -65,9 +65,7 @@ class Tally(IDManagerMixin):
     triggers : list of openmc.Trigger
         List of tally triggers
     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
+        Total number of scores
     num_filter_bins : int
         Total number of filter bins accounting for all filters
     num_bins : int
@@ -388,6 +386,13 @@ class Tally(IDManagerMixin):
 
             # If score is a string, strip whitespace
             if isinstance(score, str):
+                # Check to see if scores are deprecated before storing
+                for deprecated in ['scatter-', 'nu-scatter-', 'scatter-p',
+                                   'nu-scatter-p', 'scatter-y', 'nu-scatter-y',
+                                    'flux-y', 'total-y']:
+                    if score.startswith(deprecated):
+                        msg = score.strip() + ' is no longer supported.'
+                        raise ValueError(msg)
                 scores[i] = score.strip()
 
         self._scores = cv.CheckedList(_SCORE_CLASSES, 'tally scores', scores)
@@ -827,51 +832,8 @@ class Tally(IDManagerMixin):
         # Sparsify merged tally if both tallies are sparse
         merged_tally.sparse = self.sparse and other.sparse
 
-        # Consolidate scatter and flux Legendre moment scores
-        merged_tally._consolidate_moment_scores()
-
         return merged_tally
 
-    def _consolidate_moment_scores(self):
-        """Remove redundant scattering and flux moment scores from a Tally."""
-
-        # Define regex for scatter, nu-scatter and flux moment scores
-        regex = [(r'^((?!nu-)scatter-\d)', r'^((?!nu-)scatter-(P|p)\d)'),
-                 (r'nu-scatter-\d', r'nu-scatter-(P|p)\d'),
-                 (r'flux-\d', r'flux-(P|p)\d')]
-
-        # Find all non-scattering and non-flux moment scores
-        scores = [x for x in self.scores if
-                  re.search(r'^((?!scatter-).)*$', x)]
-        scores = [x for x in scores if
-                  re.search(r'^((?!flux-).)*$', x)]
-
-        for regex_n, regex_pn in regex:
-
-            # Use regex to find score-(P)n scores
-            score_n = [x for x in self.scores if re.search(regex_n, x)]
-            score_pn = [x for x in self.scores if re.search(regex_pn, x)]
-
-            # Consolidate moment scores
-            if len(score_pn) > 0:
-
-                # Only keep the highest score-PN score
-                high_pn = sorted([x.lower() for x in score_pn])[-1]
-                pn = int(high_pn.split('-')[-1].replace('p', ''))
-
-                # Only keep the score-N scores with N > PN
-                score_n = sorted([x.lower() for x in score_n])
-                score_n = [x for x in score_n if (int(x.split('-')[1]) > pn)]
-
-                # Append highest score-PN and any higher score-N scores
-                scores.extend([high_pn] + score_n)
-            else:
-                scores.extend(score_n)
-
-        # Override Tally's scores with consolidated list of scores
-        self.scores = scores
-
-
     def to_xml_element(self):
         """Return XML representation of the tally
 
@@ -1180,7 +1142,7 @@ class Tally(IDManagerMixin):
 
         # Determine the score indices from any of the requested scores
         if nuclides:
-            nuclide_indices = np.zeros(len(nuclides), dtype=np.int)
+            nuclide_indices = np.zeros(len(nuclides), dtype=int)
             for i, nuclide in enumerate(nuclides):
                 nuclide_indices[i] = self.get_nuclide_index(nuclide)
 
@@ -1219,7 +1181,7 @@ class Tally(IDManagerMixin):
 
         # Determine the score indices from any of the requested scores
         if scores:
-            score_indices = np.zeros(len(scores), dtype=np.int)
+            score_indices = np.zeros(len(scores), dtype=int)
             for i, score in enumerate(scores):
                 score_indices[i] = self.get_score_index(score)
 
@@ -1491,11 +1453,8 @@ class Tally(IDManagerMixin):
         data = self.get_values(value=value)
 
         # Build a new array shape with one dimension per filter
-        new_shape = ()
-        for self_filter in self.filters:
-            new_shape += (self_filter.num_bins, )
-        new_shape += (self.num_nuclides,)
-        new_shape += (self.num_scores,)
+        new_shape = tuple(f.num_bins for f in self.filters)
+        new_shape += (self.num_nuclides, self.num_scores)
 
         # Reshape the data with one dimension for each filter
         data = np.reshape(data, new_shape)
@@ -2772,7 +2731,7 @@ class Tally(IDManagerMixin):
 
             # Sum across the bins in the user-specified filter
             for i, self_filter in enumerate(self.filters):
-                if isinstance(self_filter, filter_type):
+                if type(self_filter) == filter_type:
                     shape = mean.shape
                     mean = np.take(mean, indices=bin_indices, axis=i)
                     std_dev = np.take(std_dev, indices=bin_indices, axis=i)
@@ -3012,7 +2971,7 @@ class Tally(IDManagerMixin):
         The data in the derived tally arrays is "diagonalized" along the bins in
         the new filter. This functionality is used by the openmc.mgxs module; to
         transport-correct scattering matrices by subtracting a 'scatter-P1'
-        reaction rate tally with an energy filter from an 'scatter' reaction
+        reaction rate tally with an energy filter from a 'scatter' reaction
         rate tally with both energy and energyout filters.
 
         Parameters
@@ -3031,7 +2990,7 @@ class Tally(IDManagerMixin):
 
         if new_filter in self.filters:
             msg = 'Unable to diagonalize Tally ID="{0}" which already ' \
-                  'contains a "{1}" filter'.format(self.id, new_filter.type)
+                  'contains a "{1}" filter'.format(self.id, type(new_filter))
             raise ValueError(msg)
 
         # Add the new filter to a copy of this Tally
@@ -3042,8 +3001,8 @@ class Tally(IDManagerMixin):
         # by which the "base" indices should be repeated to account for all
         # other filter bins in the diagonalized tally
         indices = np.arange(0, new_filter.num_bins**2, new_filter.num_bins+1)
-        diag_factor = int(self.num_filter_bins / new_filter.num_bins)
-        diag_indices = np.zeros(self.num_filter_bins, dtype=np.int)
+        diag_factor = self.num_filter_bins // new_filter.num_bins
+        diag_indices = np.zeros(self.num_filter_bins, dtype=int)
 
         # Determine the filter indices along the new "diagonal"
         for i in range(diag_factor):
diff --git a/src/angle_distribution.F90 b/src/angle_distribution.F90
index 5d16f74242..a1f20e7799 100644
--- a/src/angle_distribution.F90
+++ b/src/angle_distribution.F90
@@ -1,12 +1,10 @@
 module angle_distribution
 
-  use hdf5, only: HID_T, HSIZE_T
-
   use algorithm, only: binary_search
   use constants, only: ZERO, ONE, HISTOGRAM, LINEAR_LINEAR
   use distribution_univariate, only: DistributionContainer, Tabular
   use hdf5_interface, only: read_attribute, get_shape, read_dataset, &
-       open_dataset, close_dataset
+       open_dataset, close_dataset, HID_T, HSIZE_T
   use random_lcg, only: prn
 
   implicit none
diff --git a/src/angleenergy_header.F90 b/src/angleenergy_header.F90
index 60d5443c46..9fda5109ec 100644
--- a/src/angleenergy_header.F90
+++ b/src/angleenergy_header.F90
@@ -1,6 +1,6 @@
 module angleenergy_header
 
-  use hdf5, only: HID_T
+  use hdf5_interface, only: HID_T
 
 !===============================================================================
 ! ANGLEENERGY (abstract) defines a correlated or uncorrelated angle-energy
diff --git a/src/api.F90 b/src/api.F90
index df183c292f..bc0757be57 100644
--- a/src/api.F90
+++ b/src/api.F90
@@ -2,8 +2,6 @@ module openmc_api
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5, only: HID_T, h5tclose_f, h5close_f
-
   use bank_header,     only: openmc_source_bank
   use constants,       only: K_BOLTZMANN
   use eigenvalue,      only: k_sum, openmc_get_keff
@@ -15,7 +13,7 @@ module openmc_api
   use mesh_header
   use message_passing
   use nuclide_header
-  use initialize,      only: openmc_init
+  use initialize,      only: openmc_init_f
   use particle_header, only: Particle
   use plot,            only: openmc_plot_geometry
   use random_lcg,      only: openmc_get_seed, openmc_set_seed
@@ -64,7 +62,7 @@ module openmc_api
   public :: openmc_get_tally_index
   public :: openmc_global_tallies
   public :: openmc_hard_reset
-  public :: openmc_init
+  public :: openmc_init_f
   public :: openmc_load_nuclide
   public :: openmc_material_add_nuclide
   public :: openmc_material_get_id
@@ -80,7 +78,6 @@ module openmc_api
   public :: openmc_nuclide_name
   public :: openmc_plot_geometry
   public :: openmc_reset
-  public :: openmc_run
   public :: openmc_set_seed
   public :: openmc_simulation_finalize
   public :: openmc_simulation_init
@@ -105,12 +102,16 @@ contains
 ! variables
 !===============================================================================
 
-  subroutine openmc_finalize() bind(C)
+  function openmc_finalize() result(err) bind(C)
+    integer(C_INT) :: err
 
-    integer :: err
+    interface
+      subroutine openmc_free_bank() bind(C)
+      end subroutine openmc_free_bank
+    end interface
 
     ! Clear results
-    call openmc_reset()
+    err = openmc_reset()
 
     ! Reset global variables
     assume_separate = .false.
@@ -170,18 +171,14 @@ contains
     ! Deallocate arrays
     call free_memory()
 
-    ! Release compound datatypes
-    call h5tclose_f(hdf5_bank_t, err)
-
-    ! Close FORTRAN interface.
-    call h5close_f(err)
-
+    err = 0
 #ifdef OPENMC_MPI
     ! Free all MPI types
     call MPI_TYPE_FREE(MPI_BANK, err)
+    call openmc_free_bank()
 #endif
 
-  end subroutine openmc_finalize
+  end function openmc_finalize
 
 !===============================================================================
 ! OPENMC_FIND determines the ID or a cell or material at a given point in space
@@ -232,9 +229,11 @@ contains
 ! generator state
 !===============================================================================
 
-  subroutine openmc_hard_reset() bind(C)
+  function openmc_hard_reset() result(err) bind(C)
+    integer(C_INT) :: err
+
     ! Reset all tallies and timers
-    call openmc_reset()
+    err = openmc_reset()
 
     ! Reset total generations and keff guess
     keff = ONE
@@ -242,13 +241,15 @@ contains
 
     ! Reset the random number generator state
     call openmc_set_seed(DEFAULT_SEED)
-  end subroutine openmc_hard_reset
+  end function openmc_hard_reset
 
 !===============================================================================
 ! OPENMC_RESET resets tallies and timers
 !===============================================================================
 
-  subroutine openmc_reset() bind(C)
+  function openmc_reset() result(err) bind(C)
+    integer(C_INT) :: err
+
     integer :: i
 
     if (allocated(tallies)) then
@@ -296,7 +297,8 @@ contains
     call time_transport % reset()
     call time_finalize % reset()
 
-  end subroutine openmc_reset
+    err = 0
+  end function openmc_reset
 
 !===============================================================================
 ! FREE_MEMORY deallocates and clears  all global allocatable arrays in the
diff --git a/src/cmfd_data.F90 b/src/cmfd_data.F90
index 3152f1eb2b..ce4825426b 100644
--- a/src/cmfd_data.F90
+++ b/src/cmfd_data.F90
@@ -76,6 +76,7 @@ contains
     integer :: i_filter_mesh ! index for mesh filter
     integer :: i_filter_ein  ! index for incoming energy filter
     integer :: i_filter_eout ! index for outgoing energy filter
+    integer :: i_filter_legendre ! index for Legendre filter
     integer :: i_mesh        ! flattend index for mesh
     logical :: energy_filters! energy filters present
     real(8) :: flux          ! temp variable for flux
@@ -116,8 +117,11 @@ contains
 
       if (ital < 3) then
         i_filter_mesh = t % filter(t % find_filter(FILTER_MESH))
-      else
+      else if (ital == 3) then
         i_filter_mesh = t % filter(t % find_filter(FILTER_MESHSURFACE))
+      else if (ital == 4) then
+        i_filter_mesh = t % filter(t % find_filter(FILTER_MESH))
+        i_filter_legendre = t % filter(t % find_filter(FILTER_LEGENDRE))
       end if
 
       ! Check for energy filters
@@ -187,13 +191,6 @@ contains
                 ! Get total rr and convert to total xs
                 cmfd % totalxs(h,i,j,k) = t % results(RESULT_SUM,2,score_index) / flux
 
-                ! Get p1 scatter rr and convert to p1 scatter xs
-                cmfd % p1scattxs(h,i,j,k) = t % results(RESULT_SUM,3,score_index) / flux
-
-                ! Calculate diffusion coefficient
-                cmfd % diffcof(h,i,j,k) = ONE/(3.0_8*(cmfd % totalxs(h,i,j,k) - &
-                     cmfd % p1scattxs(h,i,j,k)))
-
               else if (ital == 2) then
 
                 ! Begin loop to get energy out tallies
@@ -301,6 +298,46 @@ contains
                      score_index + IN_TOP)
                 cmfd % current(12,h,i,j,k) = t % results(RESULT_SUM, 1, &
                      score_index + OUT_TOP)
+
+              else if (ital == 4) then
+
+                ! Reset all bins to 1
+                do l = 1, size(t % filter)
+                  call filter_matches(t % filter(l)) % bins % clear()
+                  call filter_matches(t % filter(l)) % bins % push_back(1)
+                end do
+
+                ! Set ijk as mesh indices
+                ijk = (/ i, j, k /)
+
+                ! Get bin number for mesh indices
+                filter_matches(i_filter_mesh) % bins % data(1) = &
+                     m % get_bin_from_indices(ijk)
+
+                ! Apply energy in filter
+                if (energy_filters) then
+                  filter_matches(i_filter_ein) % bins % data(1) = ng - h + 1
+                end if
+
+                ! Apply Legendre filter
+                filter_matches(i_filter_legendre) % bins % data(1) = 2
+
+                ! Calculate score index from bins
+                score_index = 1
+                do l = 1, size(t % filter)
+                  score_index = score_index + (filter_matches(t % filter(l)) &
+                       % bins % data(1) - 1) * t % stride(l)
+                end do
+
+                ! Get p1 scatter rr and convert to p1 scatter xs
+                cmfd % p1scattxs(h,i,j,k) = &
+                     t % results(RESULT_SUM,1,score_index) / &
+                     cmfd % flux(h,i,j,k)
+
+                ! Calculate diffusion coefficient
+                cmfd % diffcof(h,i,j,k) = &
+                     ONE/(3.0_8*(cmfd % totalxs(h,i,j,k) - &
+                     cmfd % p1scattxs(h,i,j,k)))
               end if TALLY
 
             end do OUTGROUP
diff --git a/src/cmfd_input.F90 b/src/cmfd_input.F90
index 86f4e2400e..549cff4191 100644
--- a/src/cmfd_input.F90
+++ b/src/cmfd_input.F90
@@ -278,7 +278,7 @@ contains
     m % id = i_start
 
     ! Set mesh type to rectangular
-    m % type = LATTICE_RECT
+    m % type = MESH_REGULAR
 
     ! Get pointer to mesh XML node
     node_mesh = root % child("mesh")
@@ -373,7 +373,7 @@ contains
 
     ! Determine number of filters
     energy_filters = check_for_node(node_mesh, "energy")
-    n = merge(4, 2, energy_filters)
+    n = merge(5, 3, energy_filters)
 
     ! Extend filters array so we can add CMFD filters
     err = openmc_extend_filters(n, i_filt_start, i_filt_end)
@@ -414,6 +414,12 @@ contains
     err = openmc_filter_set_id(i_filt, filt_id)
     err = openmc_meshsurface_filter_set_mesh(i_filt, i_start)
 
+    ! Add in legendre filter for the P1 tally
+    i_filt = i_filt + 1
+    err = openmc_filter_set_type(i_filt, C_CHAR_'legendre' // C_NULL_CHAR)
+    call openmc_get_filter_next_id(filt_id)
+    err = openmc_filter_set_id(i_filt, filt_id)
+    err = openmc_legendre_filter_set_order(i_filt, 1)
 
     ! Initialize filters
     do i = i_filt_start, i_filt_end
@@ -421,7 +427,7 @@ contains
     end do
 
     ! Allocate tallies
-    err = openmc_extend_tallies(3, i_start, i_end)
+    err = openmc_extend_tallies(4, i_start, i_end)
     cmfd_tallies => tallies(i_start:i_end)
 
     ! Begin loop around tallies
@@ -455,7 +461,7 @@ contains
       if (i == 1) then
 
         ! Set name
-        t % name = "CMFD flux, total, scatter-1"
+        t % name = "CMFD flux, total"
 
         ! Set tally estimator to analog
         t % estimator = ESTIMATOR_ANALOG
@@ -473,19 +479,12 @@ contains
         deallocate(filter_indices)
 
         ! Allocate scoring bins
-        allocate(t % score_bins(3))
-        t % n_score_bins = 3
-        t % n_user_score_bins = 3
-
-        ! Allocate scattering order data
-        allocate(t % moment_order(3))
-        t % moment_order = 0
+        allocate(t % score_bins(2))
+        t % n_score_bins = 2
 
         ! Set macro_bins
         t % score_bins(1)  = SCORE_FLUX
         t % score_bins(2)  = SCORE_TOTAL
-        t % score_bins(3)  = SCORE_SCATTER_N
-        t % moment_order(3) = 1
 
       else if (i == 2) then
 
@@ -517,11 +516,6 @@ contains
         ! Allocate macro reactions
         allocate(t % score_bins(2))
         t % n_score_bins = 2
-        t % n_user_score_bins = 2
-
-        ! Allocate scattering order data
-        allocate(t % moment_order(2))
-        t % moment_order = 0
 
         ! Set macro_bins
         t % score_bins(1) = SCORE_NU_SCATTER
@@ -537,7 +531,7 @@ contains
 
         ! Allocate and set filters
         allocate(filter_indices(n_filter))
-        filter_indices(1) = i_filt_end
+        filter_indices(1) = i_filt_end - 1
         if (energy_filters) then
           filter_indices(2) = i_filt_start + 1
         end if
@@ -547,15 +541,41 @@ contains
         ! Allocate macro reactions
         allocate(t % score_bins(1))
         t % n_score_bins = 1
-        t % n_user_score_bins = 1
-
-        ! Allocate scattering order data
-        allocate(t % moment_order(1))
-        t % moment_order = 0
 
         ! Set macro bins
         t % score_bins(1) = SCORE_CURRENT
         t % type = TALLY_MESH_SURFACE
+
+      else if (i == 4) then
+        ! Set name
+        t % name = "CMFD P1 scatter"
+
+        ! Set tally estimator to analog
+        t % estimator = ESTIMATOR_ANALOG
+
+        ! Set tally type to volume
+        t % type = TALLY_VOLUME
+
+        ! Allocate and set filters
+        n_filter = 2
+        if (energy_filters) then
+          n_filter = n_filter + 1
+        end if
+        allocate(filter_indices(n_filter))
+        filter_indices(1) = i_filt_start
+        filter_indices(2) = i_filt_end
+        if (energy_filters) then
+          filter_indices(3) = i_filt_start + 1
+        end if
+        err = openmc_tally_set_filters(i_start + i - 1, n_filter, filter_indices)
+        deallocate(filter_indices)
+
+        ! Allocate scoring bins
+        allocate(t % score_bins(1))
+        t % n_score_bins = 1
+
+        ! Set macro_bins
+        t % score_bins(1) = SCORE_SCATTER
       end if
 
       ! Make CMFD tallies active from the start
diff --git a/src/constants.F90 b/src/constants.F90
index b335b78c86..d1893bf9e1 100644
--- a/src/constants.F90
+++ b/src/constants.F90
@@ -21,7 +21,7 @@ module constants
   integer, parameter :: VERSION_STATEPOINT(2)       = [17, 0]
   integer, parameter :: VERSION_PARTICLE_RESTART(2) = [2, 0]
   integer, parameter :: VERSION_TRACK(2)            = [2, 0]
-  integer, parameter :: VERSION_SUMMARY(2)          = [5, 0]
+  integer, parameter :: VERSION_SUMMARY(2)          = [6, 0]
   integer, parameter :: VERSION_VOLUME(2)           = [1, 0]
   integer, parameter :: VERSION_VOXEL(2)            = [1, 0]
   integer, parameter :: VERSION_MGXS_LIBRARY(2)     = [1, 0]
@@ -232,6 +232,10 @@ module constants
        MGXS_ISOTROPIC   = 1, & ! Isotropically Weighted Data
        MGXS_ANGLE       = 2    ! Data by Angular Bins
 
+  ! Flag to denote this was a macroscopic data object
+  real(8), parameter :: &
+       MACROSCOPIC_AWR = -TWO
+
   ! Fission neutron emission (nu) type
   integer, parameter ::   &
        NU_NONE       = 0, & ! No nu values (non-fissionable)
@@ -310,50 +314,28 @@ module constants
 
   ! Tally score type -- if you change these, make sure you also update the
   ! _SCORES dictionary in openmc/capi/tally.py
-  integer, parameter :: N_SCORE_TYPES = 24
+  integer, parameter :: N_SCORE_TYPES = 16
   integer, parameter :: &
        SCORE_FLUX               = -1,  & ! flux
        SCORE_TOTAL              = -2,  & ! total reaction rate
        SCORE_SCATTER            = -3,  & ! scattering rate
        SCORE_NU_SCATTER         = -4,  & ! scattering production rate
-       SCORE_SCATTER_N          = -5,  & ! arbitrary scattering moment
-       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_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, & ! 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_PROMPT_NU_FISSION  = -20, & ! prompt neutron production rate
-       SCORE_INVERSE_VELOCITY   = -21, & ! flux-weighted inverse velocity
-       SCORE_FISS_Q_PROMPT      = -22, & ! prompt fission Q-value
-       SCORE_FISS_Q_RECOV       = -23, & ! recoverable fission Q-value
-       SCORE_DECAY_RATE         = -24    ! delayed neutron precursor decay rate
+       SCORE_ABSORPTION         = -5,  & ! absorption rate
+       SCORE_FISSION            = -6,  & ! fission rate
+       SCORE_NU_FISSION         = -7,  & ! neutron production rate
+       SCORE_KAPPA_FISSION      = -8,  & ! fission energy production rate
+       SCORE_CURRENT            = -9,  & ! current
+       SCORE_EVENTS             = -10, & ! number of events
+       SCORE_DELAYED_NU_FISSION = -11, & ! delayed neutron production rate
+       SCORE_PROMPT_NU_FISSION  = -12, & ! prompt neutron production rate
+       SCORE_INVERSE_VELOCITY   = -13, & ! flux-weighted inverse velocity
+       SCORE_FISS_Q_PROMPT      = -14, & ! prompt fission Q-value
+       SCORE_FISS_Q_RECOV       = -15, & ! recoverable fission Q-value
+       SCORE_DECAY_RATE         = -16    ! delayed neutron precursor decay rate
 
   ! Maximum scattering order supported
   integer, parameter :: MAX_ANG_ORDER = 10
 
-  ! Names of *-PN & *-YN scores (MOMENT_STRS) and *-N moment scores
-  character(*), parameter :: &
-       MOMENT_STRS(6)    = (/ "scatter-p   ",   &
-                              "nu-scatter-p",   &
-                              "flux-y      ",   &
-                              "total-y     ",   &
-                              "scatter-y   ",   &
-                              "nu-scatter-y"/), &
-       MOMENT_N_STRS(2)  = (/ "scatter-    ",   &
-                              "nu-scatter- "/)
-
-  ! Location in MOMENT_STRS where the YN data begins
-  integer, parameter :: YN_LOC = 3
-
   ! Tally map bin finding
   integer, parameter :: NO_BIN_FOUND = -1
 
diff --git a/src/endf.F90 b/src/endf.F90
index 0ba2db388b..9934d9a7cf 100644
--- a/src/endf.F90
+++ b/src/endf.F90
@@ -26,14 +26,6 @@ contains
       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)
@@ -50,14 +42,6 @@ contains
       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)
diff --git a/src/endf_header.F90 b/src/endf_header.F90
index e9e45ab751..9443efe2be 100644
--- a/src/endf_header.F90
+++ b/src/endf_header.F90
@@ -1,7 +1,5 @@
 module endf_header
 
-  use hdf5, only: HID_T, HSIZE_T
-
   use algorithm, only: binary_search
   use constants, only: ZERO, HISTOGRAM, LINEAR_LINEAR, LINEAR_LOG, &
        LOG_LINEAR, LOG_LOG
diff --git a/src/energy_distribution.F90 b/src/energy_distribution.F90
index 770da617cc..a9578e5d88 100644
--- a/src/energy_distribution.F90
+++ b/src/energy_distribution.F90
@@ -1,7 +1,5 @@
 module energy_distribution
 
-  use hdf5
-
   use algorithm,     only: binary_search
   use constants,     only: ZERO, ONE, HALF, TWO, PI, HISTOGRAM, LINEAR_LINEAR
   use endf_header,   only: Tabulated1D
diff --git a/src/error.F90 b/src/error.F90
index 0a5af302d6..d041051d29 100644
--- a/src/error.F90
+++ b/src/error.F90
@@ -15,19 +15,19 @@ module error
   public :: write_message
 
   ! Error codes
-  integer(C_INT), public, bind(C) :: E_UNASSIGNED = -1
-  integer(C_INT), public, bind(C) :: E_ALLOCATE = -2
-  integer(C_INT), public, bind(C) :: E_OUT_OF_BOUNDS = -3
-  integer(C_INT), public, bind(C) :: E_INVALID_SIZE = -4
-  integer(C_INT), public, bind(C) :: E_INVALID_ARGUMENT = -5
-  integer(C_INT), public, bind(C) :: E_INVALID_TYPE = -6
-  integer(C_INT), public, bind(C) :: E_INVALID_ID = -7
-  integer(C_INT), public, bind(C) :: E_GEOMETRY = -8
-  integer(C_INT), public, bind(C) :: E_DATA = -9
-  integer(C_INT), public, bind(C) :: E_PHYSICS = -10
+  integer(C_INT), public, bind(C, name='OPENMC_E_UNASSIGNED') :: E_UNASSIGNED = -1
+  integer(C_INT), public, bind(C, name='OPENMC_E_ALLOCATE') :: E_ALLOCATE = -2
+  integer(C_INT), public, bind(C, name='OPENMC_E_OUT_OF_BOUNDS') :: E_OUT_OF_BOUNDS = -3
+  integer(C_INT), public, bind(C, name='OPENMC_E_INVALID_SIZE') :: E_INVALID_SIZE = -4
+  integer(C_INT), public, bind(C, name='OPENMC_E_INVALID_ARGUMENT') :: E_INVALID_ARGUMENT = -5
+  integer(C_INT), public, bind(C, name='OPENMC_E_INVALID_TYPE') :: E_INVALID_TYPE = -6
+  integer(C_INT), public, bind(C, name='OPENMC_E_INVALID_ID') :: E_INVALID_ID = -7
+  integer(C_INT), public, bind(C, name='OPENMC_E_GEOMETRY') :: E_GEOMETRY = -8
+  integer(C_INT), public, bind(C, name='OPENMC_E_DATA') :: E_DATA = -9
+  integer(C_INT), public, bind(C, name='OPENMC_E_PHYSICS') :: E_PHYSICS = -10
 
   ! Warning codes
-  integer(C_INT), public, bind(C) :: E_WARNING = 1
+  integer(C_INT), public, bind(C, name='OPENMC_E_WARNING') :: E_WARNING = 1
 
   ! Error message
   character(kind=C_CHAR), public, bind(C) :: openmc_err_msg(256)
@@ -111,6 +111,14 @@ contains
 
   end subroutine warning
 
+  subroutine warning_from_c(message, message_len) bind(C)
+    integer(C_INT),         intent(in), value :: message_len
+    character(kind=C_CHAR), intent(in)        :: message(message_len)
+    character(message_len+1)                  :: message_out
+    write(message_out, *) message
+    call warning(message_out)
+  end subroutine
+
 !===============================================================================
 ! FATAL_ERROR alerts the user that an error has been encountered and displays a
 ! message about the particular problem. Errors are considered 'fatal' and hence
diff --git a/src/error.h b/src/error.h
index 4c3373b3e3..45d8bcdede 100644
--- a/src/error.h
+++ b/src/error.h
@@ -9,25 +9,38 @@
 namespace openmc {
 
 
-extern "C" void fatal_error_from_c(const char *message, int message_len);
+extern "C" void fatal_error_from_c(const char* message, int message_len);
+extern "C" void warning_from_c(const char* message, int message_len);
 
 
+inline
 void fatal_error(const char *message)
 {
   fatal_error_from_c(message, strlen(message));
 }
 
-
+inline
 void fatal_error(const std::string &message)
 {
   fatal_error_from_c(message.c_str(), message.length());
 }
 
-
+inline
 void fatal_error(const std::stringstream &message)
 {
-  std::string out {message.str()};
-  fatal_error_from_c(out.c_str(), out.length());
+  fatal_error(message.str());
+}
+
+inline
+void warning(const std::string& message)
+{
+  warning_from_c(message.c_str(), message.length());
+}
+
+inline
+void warning(const std::stringstream& message)
+{
+  warning(message.str());
 }
 
 } // namespace openmc
diff --git a/src/finalize.cpp b/src/finalize.cpp
new file mode 100644
index 0000000000..696a1e80e5
--- /dev/null
+++ b/src/finalize.cpp
@@ -0,0 +1,10 @@
+#include "finalize.h"
+
+#include "message_passing.h"
+
+void openmc_free_bank()
+{
+#ifdef OPENMC_MPI
+  MPI_Type_free(&openmc::mpi::bank);
+#endif
+}
diff --git a/src/finalize.h b/src/finalize.h
new file mode 100644
index 0000000000..e606493ca1
--- /dev/null
+++ b/src/finalize.h
@@ -0,0 +1,6 @@
+#ifndef FINALIZE_H
+#define FINALIZE_H
+
+extern "C" void openmc_free_bank();
+
+#endif // FINALIZE_H
diff --git a/src/geometry.F90 b/src/geometry.F90
index 0bacd7b5d1..e747b619ac 100644
--- a/src/geometry.F90
+++ b/src/geometry.F90
@@ -355,9 +355,10 @@ contains
             else
               ! Particle is outside the lattice.
               if (lat % outer == NO_OUTER_UNIVERSE) then
-                call p % mark_as_lost("Particle " // trim(to_str(p %id)) &
+                call warning("Particle " // trim(to_str(p %id)) &
                      // " is outside lattice " // trim(to_str(lat % id)) &
                      // " but the lattice has no defined outer universe.")
+                found = .false.
                 return
               else
                 p % coord(j + 1) % universe = lat % outer
diff --git a/src/geometry_header.F90 b/src/geometry_header.F90
index e71916d096..f6206adf99 100644
--- a/src/geometry_header.F90
+++ b/src/geometry_header.F90
@@ -544,16 +544,12 @@ contains
           c % type = FILL_MATERIAL
           do i = 1, n
             j = indices(i)
-            if (j == 0) then
-              c % material(i) = MATERIAL_VOID
+            if ((j >= 1 .and. j <= n_materials) .or. j == MATERIAL_VOID) then
+              c % material(i) = j
             else
-              if (j >= 1 .and. j <= n_materials) then
-                c % material(i) = j
-              else
-                err = E_OUT_OF_BOUNDS
-                call set_errmsg("Index " // trim(to_str(j)) // " in the &
-                     &materials array is out of bounds.")
-              end if
+              err = E_OUT_OF_BOUNDS
+              call set_errmsg("Index " // trim(to_str(j)) // " in the &
+                   &materials array is out of bounds.")
             end if
           end do
         case (FILL_UNIVERSE)
diff --git a/src/hdf5_interface.F90 b/src/hdf5_interface.F90
index 410149d9e7..40f56d88ef 100644
--- a/src/hdf5_interface.F90
+++ b/src/hdf5_interface.F90
@@ -12,27 +12,22 @@ module hdf5_interface
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5
-  use h5lt
-
   use error, only: fatal_error
 #ifdef PHDF5
   use message_passing, only: mpi_intracomm, MPI_INFO_NULL
 #endif
+  use string, only: to_c_string, to_f_string
 
   implicit none
   private
 
-  integer(HID_T), public :: hdf5_bank_t        ! Compound type for Bank
-  integer(HID_T), public :: hdf5_integer8_t    ! type for integer(8)
-
   interface write_dataset
-    module procedure write_double
+    module procedure write_double_0D
     module procedure write_double_1D
     module procedure write_double_2D
     module procedure write_double_3D
     module procedure write_double_4D
-    module procedure write_integer
+    module procedure write_integer_0D
     module procedure write_integer_1D
     module procedure write_integer_2D
     module procedure write_integer_3D
@@ -43,12 +38,12 @@ module hdf5_interface
   end interface write_dataset
 
   interface read_dataset
-    module procedure read_double
+    module procedure read_double_0D
     module procedure read_double_1D
     module procedure read_double_2D
     module procedure read_double_3D
     module procedure read_double_4D
-    module procedure read_integer
+    module procedure read_integer_0D
     module procedure read_integer_1D
     module procedure read_integer_2D
     module procedure read_integer_3D
@@ -84,7 +79,6 @@ module hdf5_interface
   public :: attribute_exists
   public :: write_attribute
   public :: read_attribute
-  public :: file_create
   public :: file_open
   public :: file_close
   public :: create_group
@@ -99,114 +93,220 @@ module hdf5_interface
   public :: get_datasets
   public :: get_name
 
+  integer, public, parameter :: HID_T = C_INT64_T
+  integer, public, parameter :: HSIZE_T = C_LONG_LONG
+
+  interface
+    function attribute_typesize(obj_id, name) result(sz) bind(C)
+      import HID_T, C_CHAR, C_SIZE_T
+      integer(HID_T), value :: obj_id
+      character(kind=C_CHAR), intent(in) :: name(*)
+      integer(C_SIZE_T) :: sz
+    end function attribute_typesize
+
+    function dataset_typesize(dset) result(sz) bind(C)
+      import HID_T, C_SIZE_T
+      integer(HID_T), value :: dset
+      integer(C_SIZE_T) :: sz
+    end function dataset_typesize
+
+    subroutine file_close(file_id) bind(C)
+      import HID_T
+      integer(HID_T), value :: file_id
+    end subroutine file_close
+
+    subroutine get_shape_c(obj_id, dims) bind(C, name='get_shape')
+      import HID_T, HSIZE_T
+      integer(HID_T), value :: obj_id
+      integer(HSIZE_T), intent(out) :: dims(*)
+    end subroutine get_shape_c
+
+    subroutine get_shape_attr(obj_id, name, dims) bind(C)
+      import HID_T, HSIZE_T, C_CHAR
+      integer(HID_T), value :: obj_id
+      character(kind=C_CHAR), intent(in) :: name(*)
+      integer(HSIZE_T), intent(out) :: dims(*)
+    end subroutine get_shape_attr
+
+    subroutine read_double_c(obj_id, name, buffer, indep) &
+         bind(C, name='read_double')
+      import HID_T, C_DOUBLE, C_BOOL, C_PTR
+      integer(HID_T), value :: obj_id
+      type(C_PTR), value :: name
+      real(C_DOUBLE), intent(out) :: buffer(*)
+      logical(C_BOOL), value :: indep
+    end subroutine read_double_c
+
+    subroutine read_attr_int_c(obj_id, name, buffer) &
+         bind(C, name='read_attr_int')
+      import HID_T, C_CHAR, C_INT
+      integer(HID_T), value :: obj_id
+      character(kind=C_CHAR), intent(in) :: name(*)
+      integer(C_INT), intent(out) :: buffer(*)
+    end subroutine read_attr_int_c
+
+    subroutine read_attr_double_c(obj_id, name, buffer) &
+         bind(C, name='read_attr_double')
+      import HID_T, C_CHAR, C_DOUBLE
+      integer(HID_T), value :: obj_id
+      character(kind=C_CHAR), intent(in) :: name(*)
+      real(C_DOUBLE), intent(out) :: buffer(*)
+    end subroutine read_attr_double_c
+
+    subroutine read_attr_string_c(obj_id, name, slen, buffer) &
+         bind(C, name='read_attr_string')
+      import HID_T, C_CHAR, C_SIZE_T
+      integer(HID_T), value :: obj_id
+      character(kind=C_CHAR), intent(in) :: name(*)
+      integer(C_SIZE_T), value :: slen
+      character(kind=C_CHAR), intent(out) :: buffer(*)
+    end subroutine read_attr_string_c
+
+    subroutine read_int_c(obj_id, name, buffer, indep) &
+         bind(C, name='read_int')
+      import HID_T, C_INT, C_BOOL, C_PTR
+      integer(HID_T), value :: obj_id
+      type(C_PTR), value :: name
+      integer(C_INT), intent(out) :: buffer(*)
+      logical(C_BOOL), value :: indep
+    end subroutine read_int_c
+
+    subroutine read_llong_c(obj_id, name, buffer, indep) &
+         bind(C, name='read_llong')
+      import HID_T, C_INT, C_BOOL, C_PTR, C_LONG_LONG
+      integer(HID_T), value :: obj_id
+      type(C_PTR), value :: name
+      integer(C_LONG_LONG), intent(out) :: buffer(*)
+      logical(C_BOOL), value :: indep
+    end subroutine read_llong_c
+
+    subroutine read_string_c(obj_id, name, slen, buffer, indep) &
+         bind(C, name='read_string')
+      import HID_T, C_PTR, C_SIZE_T, C_CHAR, C_BOOL
+      integer(HID_T), value :: obj_id
+      type(C_PTR), value :: name
+      integer(C_SIZE_T), value :: slen
+      character(kind=C_CHAR), intent(out) :: buffer(*)
+      logical(C_BOOL), value :: indep
+    end subroutine read_string_c
+
+    subroutine read_complex_c(obj_id, name, buffer, indep) &
+         bind(C, name='read_complex')
+      import HID_T, C_PTR, C_DOUBLE_COMPLEX, C_BOOL
+      integer(HID_T), value :: obj_id
+      type(C_PTR), value :: name
+      complex(C_DOUBLE_COMPLEX), intent(out) :: buffer(*)
+      logical(C_BOOL), value :: indep
+    end subroutine read_complex_c
+
+    subroutine write_attr_double_c(obj_id, ndim, dims, name, buffer) &
+         bind(C, name='write_attr_double')
+      import HID_T, HSIZE_T, C_INT, C_DOUBLE, C_CHAR
+      integer(HID_T), value :: obj_id
+      integer(C_INT), value :: ndim
+      integer(HSIZE_T), intent(in) :: dims(*)
+      character(kind=C_CHAR), intent(in) :: name(*)
+      real(C_DOUBLE), intent(in) :: buffer(*)
+    end subroutine write_attr_double_c
+
+    subroutine write_attr_int_c(obj_id, ndim, dims, name, buffer) &
+         bind(C, name='write_attr_int')
+      import HID_T, HSIZE_T, C_INT, C_CHAR
+      integer(HID_T), value :: obj_id
+      integer(C_INT), value :: ndim
+      integer(HSIZE_T), intent(in) :: dims(*)
+      character(kind=C_CHAR), intent(in) :: name(*)
+      integer(C_INT), intent(in) :: buffer(*)
+    end subroutine write_attr_int_c
+
+    subroutine write_attr_string_c(obj_id, name, buffer) &
+         bind(C, name='write_attr_string')
+      import HID_T, C_CHAR
+      integer(HID_T), value :: obj_id
+      character(kind=C_CHAR), intent(in) :: name(*)
+      character(kind=C_CHAR), intent(in) :: buffer(*)
+    end subroutine write_attr_string_c
+
+    subroutine write_double_c(group_id, ndim, dims, name, buffer, indep) &
+         bind(C, name='write_double')
+      import HID_T, HSIZE_T, C_INT, C_DOUBLE, C_CHAR, C_BOOL
+      integer(HID_T), value :: group_id
+      integer(C_INT), value :: ndim
+      integer(HSIZE_T), intent(in) :: dims(*)
+      character(kind=C_CHAR), intent(in) :: name(*)
+      real(C_DOUBLE), intent(in) :: buffer(*)
+      logical(C_BOOL), value :: indep
+    end subroutine write_double_c
+
+    subroutine write_int_c(group_id, ndim, dims, name, buffer, indep) &
+         bind(C, name='write_int')
+      import HID_T, HSIZE_T, C_INT, C_CHAR, C_BOOL
+      integer(HID_T), value :: group_id
+      integer(C_INT), value :: ndim
+      integer(HSIZE_T), intent(in) :: dims(*)
+      character(kind=C_CHAR), intent(in) :: name(*)
+      integer(C_INT), intent(in) :: buffer(*)
+      logical(C_BOOL), value :: indep
+    end subroutine write_int_c
+
+    subroutine write_llong_c(group_id, ndim, dims, name, buffer, indep) &
+         bind(C, name='write_llong')
+      import HID_T, HSIZE_T, C_INT, C_CHAR, C_BOOL, C_LONG_LONG
+      integer(HID_T), value :: group_id
+      integer(C_INT), value :: ndim
+      integer(HSIZE_T), intent(in) :: dims(*)
+      character(kind=C_CHAR), intent(in) :: name(*)
+      integer(C_LONG_LONG), intent(in) :: buffer(*)
+      logical(C_BOOL), value :: indep
+    end subroutine write_llong_c
+
+    subroutine write_string_c(group_id, ndim, dims, slen, name, buffer, indep) &
+         bind(C, name='write_string')
+      import HID_T, HSIZE_T, C_INT, C_CHAR, C_BOOL, C_SIZE_T
+      integer(HID_T), value :: group_id
+      integer(C_INT), value :: ndim
+      integer(HSIZE_T), intent(in) :: dims(*)
+      integer(C_SIZE_T), value :: slen
+      character(kind=C_CHAR), intent(in) :: name(*)
+      character(kind=C_CHAR), intent(in) :: buffer(*)
+      logical(C_BOOL), value :: indep
+    end subroutine write_string_c
+  end interface
+
 contains
 
-!===============================================================================
-! FILE_CREATE creates HDF5 file
-!===============================================================================
-
-  function file_create(filename, parallel) result(file_id)
-    character(*),      intent(in)    :: filename ! name of file
-    logical, optional, intent(in)    :: parallel ! whether to write in serial
-    integer(HID_T) :: file_id
-
-    integer(HID_T) :: plist      ! property list handle
-    integer        :: hdf5_err   ! HDF5 error code
-    logical :: parallel_
-
-    ! Check for serial option
-    parallel_ = .false.
-#ifdef PHDF5
-    if (present(parallel)) parallel_ = parallel
-#endif
-
-    if (parallel_) then
-      ! Setup file access property list with parallel I/O access
-      call h5pcreate_f(H5P_FILE_ACCESS_F, plist, hdf5_err)
-#ifdef PHDF5
-#ifdef OPENMC_MPIF08
-      call h5pset_fapl_mpio_f(plist, mpi_intracomm%MPI_VAL, &
-           MPI_INFO_NULL%MPI_VAL, hdf5_err)
-#else
-      call h5pset_fapl_mpio_f(plist, mpi_intracomm, MPI_INFO_NULL, hdf5_err)
-#endif
-#endif
-
-      ! Create the file collectively
-      call h5fcreate_f(trim(filename), H5F_ACC_TRUNC_F, file_id, hdf5_err, &
-                       access_prp = plist)
-
-      ! Close the property list
-      call h5pclose_f(plist, hdf5_err)
-    else
-      ! Create the file
-      call h5fcreate_f(trim(filename), H5F_ACC_TRUNC_F, file_id, hdf5_err)
-    end if
-
-  end function file_create
-
 !===============================================================================
 ! FILE_OPEN opens HDF5 file
 !===============================================================================
 
   function file_open(filename, mode, parallel) result(file_id)
-    character(*),      intent(in)    :: filename ! name of file
-    character(*),      intent(in)    :: mode     ! access mode to file
-    logical, optional, intent(in)    :: parallel ! whether to write in serial
+    character(*),      intent(in) :: filename ! name of file
+    character,         value :: mode     ! access mode to file
+    logical, optional, intent(in) :: parallel ! whether to write in serial
     integer(HID_T) :: file_id
 
-    logical :: parallel_
-    integer(HID_T) :: plist     ! property list handle
-    integer        :: hdf5_err  ! HDF5 error code
-    integer        :: open_mode ! HDF5 open mode
+    character(kind=C_CHAR) :: mode_
+    logical(C_BOOL) :: parallel_
 
-    ! Check for serial option
+    interface
+      function file_open_c(name, mode, parallel) bind(C, name='file_open') result(file_id)
+        import HID_T, C_CHAR, C_BOOL, C_INT
+        character(kind=C_CHAR) :: name(*)
+        character(kind=C_CHAR), value :: mode
+        logical(C_BOOL), value :: parallel
+        integer(HID_T) :: file_id
+      end function file_open_c
+    end interface
+
+    mode_ = mode
     parallel_ = .false.
 #ifdef PHDF5
     if (present(parallel)) parallel_ = parallel
 #endif
 
-    ! Determine access type
-    open_mode = H5F_ACC_RDONLY_F
-    if (mode == 'w') open_mode = H5F_ACC_RDWR_F
-
-    if (parallel_) then
-      ! Setup file access property list with parallel I/O access
-      call h5pcreate_f(H5P_FILE_ACCESS_F, plist, hdf5_err)
-#ifdef PHDF5
-#ifdef OPENMC_MPIF08
-      call h5pset_fapl_mpio_f(plist, mpi_intracomm%MPI_VAL, &
-           MPI_INFO_NULL%MPI_VAL, hdf5_err)
-#else
-      call h5pset_fapl_mpio_f(plist, mpi_intracomm, MPI_INFO_NULL, hdf5_err)
-#endif
-#endif
-
-      ! Open the file collectively
-      call h5fopen_f(trim(filename), open_mode, file_id, hdf5_err, &
-                     access_prp = plist)
-
-      ! Close the property list
-      call h5pclose_f(plist, hdf5_err)
-    else
-      ! Open file
-      call h5fopen_f(trim(filename), open_mode, file_id, hdf5_err)
-    end if
-
+    file_id = file_open_c(to_c_string(filename), mode, parallel_)
   end function file_open
 
-!===============================================================================
-! FILE_CLOSE closes HDF5 file
-!===============================================================================
-
-  subroutine file_close(file_id)
-    integer(HID_T), intent(in) :: file_id
-
-    integer :: hdf5_err
-
-    call h5fclose_f(file_id, hdf5_err)
-  end subroutine file_close
-
 !===============================================================================
 ! GET_GROUPS Gets a list of all the groups in a given location.
 !===============================================================================
@@ -215,37 +315,43 @@ contains
     integer(HID_T), intent(in)  :: object_id
     character(len=150), allocatable, intent(out) :: names(:)
 
-    integer :: n_members, i, group_count, type
-    integer :: hdf5_err
-    character(len=150) :: name
+    integer :: i
+    integer(C_INT) :: n
+    character(len=150,kind=C_CHAR), target, allocatable :: names_(:)
+    type(C_PTR), allocatable :: name_ptrs(:)
 
-    ! Get number of members in this location
-    call h5gn_members_f(object_id, './', n_members, hdf5_err)
+    interface
+      function get_num_groups(group_id) result(n) bind(C)
+        import HID_T, C_INT
+        integer(HID_T), value :: group_id
+        integer(C_INT) :: n
+      end function get_num_groups
+      subroutine get_groups_c(group_id, name) bind(C, name='get_groups')
+        import HID_T, C_PTR
+        integer(HID_T), value :: group_id
+        type(C_PTR) :: name(*)
+      end subroutine get_groups_c
+    end interface
 
-    ! Get the number of groups
-    group_count = 0
-    do i = 0, n_members - 1
-      call h5gget_obj_info_idx_f(object_id, "./", i, name, type, hdf5_err)
-      if (type == H5G_GROUP_F) then
-        group_count = group_count + 1
-      end if
+    ! Determine number of groups and allocate
+    n = get_num_groups(object_id)
+    allocate(names(n), names_(n), name_ptrs(n))
+
+    ! Set C pointers to beginning of each string
+    do i = 1, size(names)
+      name_ptrs(i) = c_loc(names_(i))
     end do
 
-    ! Now we can allocate the storage for the ids
-    allocate(names(group_count))
-    group_count = 0
-    do i = 0, n_members - 1
-      call h5gget_obj_info_idx_f(object_id, "./", i, name, type, hdf5_err)
-      if (type == H5G_GROUP_F) then
-        group_count = group_count + 1
-        names(group_count) = trim(name)
-      end if
+    ! Get names of groups and copy to Fortran strings
+    call get_groups_c(object_id, name_ptrs)
+    do i = 1, size(names)
+      names(i) = to_f_string(names_(i))
     end do
 
   end subroutine get_groups
 
 !===============================================================================
-! CHECK_ATTRIBUTE Checks to see if an attribute exists in the object
+! ATTRIBUTE_EXISTS checks to see if an attribute exists in the object
 !===============================================================================
 
   function attribute_exists(object_id, name) result(exists)
@@ -253,11 +359,17 @@ contains
     character(*),   intent(in) :: name ! name of group
     logical :: exists
 
-    integer :: hdf5_err ! HDF5 error code
-
-    ! Check if attribute exists
-    call h5aexists_by_name_f(object_id, '.', trim(name), exists, hdf5_err)
+    interface
+      function attribute_exists_c(obj_id, name) result(exists) &
+           bind(C, name='attribute_exists')
+        import HID_T, C_CHAR, C_BOOL
+        integer(HID_T), value :: obj_id
+        character(kind=C_CHAR), intent(in) :: name(*)
+        logical(C_BOOL) :: exists
+      end function attribute_exists_c
+    end interface
 
+    exists = attribute_exists_c(object_id, to_c_string(name))
   end function attribute_exists
 
 !===============================================================================
@@ -269,11 +381,18 @@ contains
     character(*),   intent(in) :: name ! name of group
     logical :: exists
 
-    integer :: hdf5_err ! HDF5 error code
+    interface
+      function object_exists_c(obj_id, name) result(exists) &
+           bind(C, name='object_exists')
+        import HID_T, C_CHAR, C_BOOL
+        integer(HID_T), value :: obj_id
+        character(kind=C_CHAR), intent(in) :: name(*)
+        logical(C_BOOL) :: exists
+      end function object_exists_c
+    end interface
 
     ! Check if group exists
-    call h5ltpath_valid_f(object_id, trim(name), .true., exists, hdf5_err)
-
+    exists = object_exists_c(object_id, to_c_string(name))
   end function object_exists
 
 !===============================================================================
@@ -284,32 +403,37 @@ contains
     integer(HID_T), intent(in)  :: object_id
     character(len=150), allocatable, intent(out) :: names(:)
 
-    integer :: n_members, i, dset_count, type
-    integer :: hdf5_err
-    character(len=150) :: name
+    integer :: i
+    integer(C_INT) :: n
+    character(len=150,kind=C_CHAR), target, allocatable :: names_(:)
+    type(C_PTR), allocatable :: name_ptrs(:)
 
+    interface
+      function get_num_datasets(group_id) result(n) bind(C)
+        import HID_T, C_INT
+        integer(HID_T), value :: group_id
+        integer(C_INT) :: n
+      end function get_num_datasets
+      subroutine get_datasets_c(group_id, name) bind(C, name='get_datasets')
+        import HID_T, C_PTR
+        integer(HID_T), value :: group_id
+        type(C_PTR) :: name(*)
+      end subroutine get_datasets_c
+    end interface
 
-    ! Get number of members in this location
-    call h5gn_members_f(object_id, './', n_members, hdf5_err)
+    ! Determine number of datasets and allocate
+    n = get_num_datasets(object_id)
+    allocate(names(n), names_(n), name_ptrs(n))
 
-    ! Get the number of datasets
-    dset_count = 0
-    do i = 0, n_members - 1
-      call h5gget_obj_info_idx_f(object_id, "./", i, name, type, hdf5_err)
-      if (type == H5G_DATASET_F ) then
-        dset_count = dset_count + 1
-      end if
+    ! Set C pointers to beginning of each string
+    do i = 1, size(names)
+      name_ptrs(i) = c_loc(names_(i))
     end do
 
-    ! Now we can allocate the storage for the ids
-    allocate(names(dset_count))
-    dset_count = 0
-    do i = 0, n_members - 1
-      call h5gget_obj_info_idx_f(object_id, "./", i, name, type, hdf5_err)
-      if (type == H5G_DATASET_F ) then
-        dset_count = dset_count + 1
-        names(dset_count) = trim(name)
-      end if
+    ! Get names of datasets and copy to Fortran strings
+    call get_datasets_c(object_id, name_ptrs)
+    do i = 1, size(names)
+      names(i) = to_f_string(names_(i))
     end do
 
   end subroutine get_datasets
@@ -318,21 +442,21 @@ contains
 ! GET_NAME Obtains the name of the current group in group_id
 !===============================================================================
 
-  function get_name(group_id, name_len_) result(name)
-    integer(HID_T),            intent(in) :: group_id
-    integer(SIZE_T), optional, intent(in) :: name_len_
+  function get_name(object_id) result(name)
+    integer(HID_T), intent(in) :: object_id
 
-    character(len=150) :: name ! name of group
-    integer(SIZE_T) :: name_len, name_file_len
-    integer :: hdf5_err ! HDF5 error code
+    character(150) :: name  ! name of object
+    character(kind=C_CHAR) :: name_(150)
+    interface
+      subroutine get_name_c(obj_id, name) bind(C, name='get_name')
+        import HID_T, C_CHAR
+        integer(HID_T), value :: obj_id
+        character(kind=C_CHAR), intent(out) :: name(*)
+      end subroutine get_name_c
+    end interface
 
-    if (present(name_len_)) then
-      name_len = name_len_
-    else
-      name_len = 150
-    end if
-
-    call h5iget_name_f(group_id, name, name_len, name_file_len, hdf5_err)
+    call get_name_c(object_id, name_)
+    name = to_f_string(name_)
   end function get_name
 
 !===============================================================================
@@ -344,18 +468,17 @@ contains
     character(*),   intent(in) :: name ! name of group
     integer(HID_T) :: newgroup_id
 
-    logical :: exists   ! does the group exist
-    integer :: hdf5_err ! HDF5 error code
+    interface
+      function open_group_c(group_id, name) result(newgroup_id) &
+           bind(C, name='open_group')
+        import HID_T, C_CHAR
+        integer(HID_T), value :: group_id
+        character(kind=C_CHAR), intent(in) :: name(*)
+        integer(HID_T) :: newgroup_id
+      end function open_group_c
+    end interface
 
-    ! Check if group exists
-    exists = object_exists(group_id, name)
-
-    ! open group if it exists
-    if (exists) then
-      call h5gopen_f(group_id, trim(name), newgroup_id, hdf5_err)
-    else
-      call fatal_error("The group '" // trim(name) // "' does not exist.")
-    end if
+    newgroup_id = open_group_c(group_id, to_c_string(name))
   end function open_group
 
 !===============================================================================
@@ -367,18 +490,17 @@ contains
     character(*),   intent(in) :: name ! name of group
     integer(HID_T) :: newgroup_id
 
-    integer :: hdf5_err ! HDF5 error code
-    logical :: exists   ! does the group exist
+    interface
+      function create_group_c(group_id, name) result(newgroup_id) &
+           bind(C, name='create_group')
+        import HID_T, C_CHAR
+        integer(HID_T), value :: group_id
+        character(kind=C_CHAR), intent(in) :: name(*)
+        integer(HID_T) :: newgroup_id
+      end function create_group_c
+    end interface
 
-    ! Check if group exists
-    exists = object_exists(group_id, name)
-
-    ! create group
-    if (exists) then
-      call fatal_error("The group '" // trim(name) // "' already exists.")
-    else
-      call h5gcreate_f(group_id, trim(name), newgroup_id, hdf5_err)
-    end if
+    newgroup_id = create_group_c(group_id, to_c_string(name))
   end function create_group
 
 !===============================================================================
@@ -387,13 +509,14 @@ contains
 
   subroutine close_group(group_id)
     integer(HID_T), intent(inout) :: group_id
+    interface
+      subroutine close_group_c(group_id) bind(C, name='close_group')
+        import HID_T
+        integer(HID_T), value :: group_id
+      end subroutine close_group_c
+    end interface
 
-    integer :: hdf5_err ! HDF5 error code
-
-    call h5gclose_f(group_id, hdf5_err)
-    if (hdf5_err < 0) then
-      call fatal_error("Unable to close HDF5 group.")
-    end if
+    call close_group_c(group_id)
   end subroutine close_group
 
 !===============================================================================
@@ -405,132 +528,56 @@ contains
     character(*),   intent(in) :: name ! name of dataset
     integer(HID_T)             :: dataset_id
 
-    logical :: exists   ! does the dataset exist
-    integer :: hdf5_err ! HDF5 error code
+    interface
+      function open_dataset_c(group_id, name) result(dset_id) &
+           bind(C, name='open_dataset')
+        import HID_T, C_CHAR
+        integer(HID_T), value :: group_id
+        character(kind=C_CHAR), intent(in) :: name(*)
+        integer(HID_T) :: dset_id
+      end function open_dataset_c
+    end interface
 
-    ! Check if group exists
-    exists = object_exists(group_id, name)
-
-    ! 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
+    dataset_id = open_dataset_c(group_id, to_c_string(name))
   end function open_dataset
 
 !===============================================================================
-! CLOSE_GROUP closes HDF5 temp_group
+! CLOSE_DATASET closes an HDF5 dataset
 !===============================================================================
 
   subroutine close_dataset(dataset_id)
     integer(HID_T), intent(inout) :: dataset_id
 
-    integer :: hdf5_err ! HDF5 error code
+    interface
+      subroutine close_dataset_c(dset_id) bind(C, name='close_dataset')
+        import HID_T
+        integer(HID_T), value :: dset_id
+      end subroutine close_dataset_c
+    end interface
 
-    call h5dclose_f(dataset_id, hdf5_err)
-    if (hdf5_err < 0) then
-      call fatal_error("Unable to close HDF5 dataset.")
-    end if
+    call close_dataset_c(dataset_id)
   end subroutine close_dataset
 
 !===============================================================================
-! WRITE_DOUBLE writes double precision scalar data
+! WRITE_DOUBLE_ND writes double precision N-D array data
 !===============================================================================
 
-  subroutine write_double(group_id, name, buffer, indep)
+  subroutine write_double_0D(group_id, name, buffer, indep)
     integer(HID_T), intent(in) :: group_id
     character(*), intent(in)           :: name    ! name for data
     real(8),      intent(in), target   :: buffer  ! data to write
     logical,      intent(in), optional :: 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
-    type(c_ptr) :: f_ptr
+    integer(HSIZE_T) :: dims(0)
+    logical(C_BOOL) :: indep_
+    real(C_DOUBLE) :: buffer_(1)
 
-    ! Set up independentive 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
+    indep_ = .false.
+    if (present(indep)) indep_ = indep
+    buffer_(1) = buffer
 
-    ! Create dataspace and dataset
-    call h5screate_f(H5S_SCALAR_F, dspace, hdf5_err)
-    call h5dcreate_f(group_id, trim(name), H5T_NATIVE_DOUBLE, &
-                     dspace, dset, hdf5_err)
-    f_ptr = c_loc(buffer)
-
-    if (using_mpio_device(group_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 h5dwrite_f(dset, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dwrite_f(dset, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
-    end if
-
-    call h5dclose_f(dset, hdf5_err)
-    call h5sclose_f(dspace, hdf5_err)
-  end subroutine write_double
-
-!===============================================================================
-! READ_DOUBLE reads double precision scalar data
-!===============================================================================
-
-  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
-#ifdef PHDF5
-    integer(HID_T) :: plist   ! property list
-#endif
-    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
-    if (present(indep)) then
-      if (indep) data_xfer_mode = H5FD_MPIO_INDEPENDENT_F
-    end if
-
-    f_ptr = c_loc(buffer)
-
-    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, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dread_f(dset_id, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
-    end if
-
-    if (present(name)) call h5dclose_f(dset_id, hdf5_err)
-  end subroutine read_double
-
-!===============================================================================
-! WRITE_DOUBLE_1D writes double precision 1-D array data
-!===============================================================================
+    call write_double_c(group_id, 0, dims, to_c_string(name), buffer_, indep_)
+  end subroutine write_double_0D
 
   subroutine write_double_1D(group_id, name, buffer, indep)
     integer(HID_T), intent(in) :: group_id
@@ -539,127 +586,15 @@ contains
     logical,      intent(in), optional :: indep   ! independent I/O
 
     integer(HSIZE_T) :: dims(1)
+    logical(C_BOOL) :: indep_
 
-    dims(:) = shape(buffer)
-    if (present(indep)) then
-      call write_double_1D_explicit(group_id, dims, name, buffer, indep)
-    else
-      call write_double_1D_explicit(group_id, dims, name, buffer)
-    end if
+    dims(1) = size(buffer)
+    indep_ = .false.
+    if (present(indep)) indep_ = indep
+
+    call write_double_c(group_id, 1, dims, to_c_string(name), buffer, indep_)
   end subroutine write_double_1D
 
-  subroutine write_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(in), target   :: buffer(dims(1)) ! data to write
-    logical,      intent(in), optional :: 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
-    type(c_ptr) :: f_ptr
-
-    ! 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
-
-    call h5screate_simple_f(1, dims, dspace, hdf5_err)
-    call h5dcreate_f(group_id, trim(name), H5T_NATIVE_DOUBLE, &
-         dspace, dset, hdf5_err)
-    f_ptr = c_loc(buffer)
-
-    if (using_mpio_device(group_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 h5dwrite_f(dset, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dwrite_f(dset, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
-    end if
-
-    call h5dclose_f(dset, hdf5_err)
-    call h5sclose_f(dspace, hdf5_err)
-  end subroutine write_double_1D_explicit
-
-!===============================================================================
-! READ_DOUBLE_1D reads double precision 1-D array data
-!===============================================================================
-
-  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)
-
-    ! 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_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(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
-    type(c_ptr) :: f_ptr
-
-    ! 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 = c_loc(buffer)
-
-    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, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dread_f(dset_id, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
-    end if
-  end subroutine read_double_1D_explicit
-
-!===============================================================================
-! WRITE_DOUBLE_2D writes double precision 2-D array data
-!===============================================================================
-
   subroutine write_double_2D(group_id, name, buffer, indep)
     integer(HID_T), intent(in) :: group_id
     character(*), intent(in)           :: name      ! name of data
@@ -667,127 +602,18 @@ contains
     logical,      intent(in), optional :: indep   ! independent I/O
 
     integer(HSIZE_T) :: dims(2)
+    logical(C_BOOL) :: indep_
 
-    dims(:) = shape(buffer)
-    if (present(indep)) then
-      call write_double_2D_explicit(group_id, dims, name, buffer, indep)
-    else
-      call write_double_2D_explicit(group_id, dims, name, buffer)
-    end if
+    ! Reverse shape of array since it will be written from C
+    dims(1) = size(buffer, 2)
+    dims(2) = size(buffer, 1)
+
+    indep_ = .false.
+    if (present(indep)) indep_ = indep
+
+    call write_double_c(group_id, 2, dims, to_c_string(name), buffer, indep_)
   end subroutine write_double_2D
 
-  subroutine write_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(in), target   :: buffer(dims(1),dims(2))
-    logical,      intent(in), optional :: 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
-    type(c_ptr) :: f_ptr
-
-    ! 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
-
-    call h5screate_simple_f(2, dims, dspace, hdf5_err)
-    call h5dcreate_f(group_id, trim(name), H5T_NATIVE_DOUBLE, &
-         dspace, dset, hdf5_err)
-    f_ptr = c_loc(buffer)
-
-    if (using_mpio_device(group_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 h5dwrite_f(dset, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dwrite_f(dset, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
-    end if
-
-    call h5dclose_f(dset, hdf5_err)
-    call h5sclose_f(dspace, hdf5_err)
-  end subroutine write_double_2D_explicit
-
-!===============================================================================
-! READ_DOUBLE_2D reads double precision 2-D array data
-!===============================================================================
-
-  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)
-
-    ! 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_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(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
-    type(c_ptr) :: f_ptr
-
-    ! 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 = c_loc(buffer)
-
-    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, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dread_f(dset_id, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
-    end if
-  end subroutine read_double_2D_explicit
-
-!===============================================================================
-! WRITE_DOUBLE_3D writes double precision 3-D array data
-!===============================================================================
-
   subroutine write_double_3D(group_id, name, buffer, indep)
     integer(HID_T), intent(in) :: group_id
     character(*), intent(in)           :: name      ! name of data
@@ -795,127 +621,19 @@ contains
     logical,      intent(in), optional :: indep   ! independent I/O
 
     integer(HSIZE_T) :: dims(3)
+    logical(C_BOOL) :: indep_
 
-    dims(:) = shape(buffer)
-    if (present(indep)) then
-      call write_double_3D_explicit(group_id, dims, name, buffer, indep)
-    else
-      call write_double_3D_explicit(group_id, dims, name, buffer)
-    end if
+    ! Reverse shape of array since it will be written from C
+    dims(1) = size(buffer, 3)
+    dims(2) = size(buffer, 2)
+    dims(3) = size(buffer, 1)
+
+    indep_ = .false.
+    if (present(indep)) indep_ = indep
+
+    call write_double_c(group_id, 3, dims, to_c_string(name), buffer, indep_)
   end subroutine write_double_3D
 
-  subroutine write_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(in), target   :: buffer(dims(1),dims(2),dims(3))
-    logical,      intent(in), optional :: 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
-    type(c_ptr) :: f_ptr
-
-    ! 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
-
-    call h5screate_simple_f(3, dims, dspace, hdf5_err)
-    call h5dcreate_f(group_id, trim(name), H5T_NATIVE_DOUBLE, &
-         dspace, dset, hdf5_err)
-    f_ptr = c_loc(buffer)
-
-    if (using_mpio_device(group_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 h5dwrite_f(dset, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dwrite_f(dset, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
-    end if
-
-    call h5dclose_f(dset, hdf5_err)
-    call h5sclose_f(dspace, hdf5_err)
-  end subroutine write_double_3D_explicit
-
-!===============================================================================
-! READ_DOUBLE_3D reads double precision 3-D array data
-!===============================================================================
-
-  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)
-
-    ! 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_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(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
-    type(c_ptr) :: f_ptr
-
-    ! 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 = c_loc(buffer)
-
-    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, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dread_f(dset_id, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
-    end if
-  end subroutine read_double_3D_explicit
-
-!===============================================================================
-! WRITE_DOUBLE_4D writes double precision 4-D array data
-!===============================================================================
-
   subroutine write_double_4D(group_id, name, buffer, indep)
     integer(HID_T), intent(in) :: group_id
     character(*), intent(in)           :: name      ! name of data
@@ -923,60 +641,113 @@ contains
     logical,      intent(in), optional :: indep   ! independent I/O
 
     integer(HSIZE_T) :: dims(4)
+    logical(C_BOOL) :: indep_
 
-    dims(:) = shape(buffer)
-    if (present(indep)) then
-      call write_double_4D_explicit(group_id, dims, name, buffer, indep)
-    else
-      call write_double_4D_explicit(group_id, dims, name, buffer)
-    end if
+    ! Reverse shape of array since it will be written from C
+    dims(1) = size(buffer, 4)
+    dims(2) = size(buffer, 3)
+    dims(3) = size(buffer, 2)
+    dims(4) = size(buffer, 1)
+
+    indep_ = .false.
+    if (present(indep)) indep_ = indep
+
+    call write_double_c(group_id, 4, dims, to_c_string(name), buffer, indep_)
   end subroutine write_double_4D
 
-  subroutine write_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(in), target   :: buffer(dims(1),dims(2),dims(3),dims(4))
-    logical,      intent(in), optional :: indep   ! independent I/O
+!===============================================================================
+! READ_DOUBLE_ND reads double precision N-D array data
+!===============================================================================
 
-    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
-    type(c_ptr) :: f_ptr
+  subroutine read_double_0D(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
 
-    ! 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
+    real(C_DOUBLE) :: buffer_(1)
+    logical(C_BOOL) :: indep_
+    character(kind=C_CHAR), target, allocatable :: name_(:)
 
-    call h5screate_simple_f(4, dims, dspace, hdf5_err)
-    call h5dcreate_f(group_id, trim(name), H5T_NATIVE_DOUBLE, &
-         dspace, dset, hdf5_err)
-    f_ptr = c_loc(buffer)
+    indep_ = .false.
+    if (present(indep)) indep_ = indep
 
-    if (using_mpio_device(group_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 h5dwrite_f(dset, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
+    ! 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
+      name_ = to_c_string(name)
+      call read_double_c(obj_id, c_loc(name_), buffer_, indep_)
     else
-      call h5dwrite_f(dset, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
+      call read_double_c(obj_id, C_NULL_PTR, buffer_, indep_)
     end if
+    buffer = buffer_(1)
+  end subroutine read_double_0D
 
-    call h5dclose_f(dset, hdf5_err)
-    call h5sclose_f(dspace, hdf5_err)
-  end subroutine write_double_4D_explicit
+  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
 
-!===============================================================================
-! READ_DOUBLE_4D reads double precision 4-D array data
-!===============================================================================
+    logical(C_BOOL) :: indep_
+    character(kind=C_CHAR), target, allocatable :: name_(:)
+
+    indep_ = .false.
+    if (present(indep)) indep_ = 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
+      name_ = to_c_string(name)
+      call read_double_c(obj_id, c_loc(name_), buffer, indep_)
+    else
+      call read_double_c(obj_id, C_NULL_PTR, buffer, indep_)
+    end if
+  end subroutine read_double_1D
+
+  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
+
+    logical(C_BOOL) :: indep_
+    character(kind=C_CHAR), target, allocatable :: name_(:)
+
+    indep_ = .false.
+    if (present(indep)) indep_ = 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
+      name_ = to_c_string(name)
+      call read_double_c(obj_id, c_loc(name_), buffer, indep_)
+    else
+      call read_double_c(obj_id, C_NULL_PTR, buffer, indep_)
+    end if
+  end subroutine read_double_2D
+
+  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
+
+    logical(C_BOOL) :: indep_
+    character(kind=C_CHAR), target, allocatable :: name_(:)
+
+    indep_ = .false.
+    if (present(indep)) indep_ = 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
+      name_ = to_c_string(name)
+      call read_double_c(obj_id, c_loc(name_), buffer, indep_)
+    else
+      call read_double_c(obj_id, C_NULL_PTR, buffer, indep_)
+    end if
+  end subroutine read_double_3D
 
   subroutine read_double_4D(buffer, obj_id, name, indep)
     real(8), target,        intent(inout) :: buffer(:,:,:,:)
@@ -984,159 +755,42 @@ contains
     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)
+    logical(C_BOOL) :: indep_
+    character(kind=C_CHAR), target, allocatable :: name_(:)
+
+    indep_ = .false.
+    if (present(indep)) indep_ = 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)
+      name_ = to_c_string(name)
+      call read_double_c(obj_id, c_loc(name_), buffer, indep_)
     else
-      dset_id = obj_id
+      call read_double_c(obj_id, C_NULL_PTR, buffer, indep_)
     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(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
-    type(c_ptr) :: f_ptr
-
-    ! 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 = c_loc(buffer)
-
-    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, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dread_f(dset_id, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
-    end if
-  end subroutine read_double_4D_explicit
-
 !===============================================================================
-! WRITE_INTEGER writes integer precision scalar data
+! WRITE_INTEGER_ND writes integer precision N-D array data
 !===============================================================================
 
-  subroutine write_integer(group_id, name, buffer, indep)
+  subroutine write_integer_0D(group_id, name, buffer, indep)
     integer(HID_T), intent(in) :: group_id
     character(*), intent(in)           :: name    ! name for data
     integer,      intent(in), target   :: buffer  ! data to write
     logical,      intent(in), optional :: 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
-    type(c_ptr) :: f_ptr
+    integer(HSIZE_T) :: dims(0)
+    logical(C_BOOL) :: indep_
+    integer(C_INT) :: buffer_(1)
 
-    ! 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
+    indep_ = .false.
+    if (present(indep)) indep_ = indep
+    buffer_(1) = buffer
 
-    ! Create dataspace and dataset
-    call h5screate_f(H5S_SCALAR_F, dspace, hdf5_err)
-    call h5dcreate_f(group_id, trim(name), H5T_NATIVE_INTEGER, &
-                     dspace, dset, hdf5_err)
-    f_ptr = c_loc(buffer)
-
-    if (using_mpio_device(group_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 h5dwrite_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dwrite_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
-    end if
-
-    call h5dclose_f(dset, hdf5_err)
-    call h5sclose_f(dspace, hdf5_err)
-  end subroutine write_integer
-
-!===============================================================================
-! READ_INTEGER reads integer precision scalar data
-!===============================================================================
-
-  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
-#ifdef PHDF5
-    integer(HID_T) :: plist   ! property list
-#endif
-    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
-    if (present(indep)) then
-      if (indep) data_xfer_mode = H5FD_MPIO_INDEPENDENT_F
-    end if
-
-    f_ptr = c_loc(buffer)
-
-    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, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dread_f(dset_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
-    end if
-
-    if (present(name)) call h5dclose_f(dset_id, hdf5_err)
-  end subroutine read_integer
-
-!===============================================================================
-! WRITE_INTEGER_1D writes integer precision 1-D array data
-!===============================================================================
+    call write_int_c(group_id, 0, dims, to_c_string(name), buffer_, indep_)
+  end subroutine write_integer_0D
 
   subroutine write_integer_1D(group_id, name, buffer, indep)
     integer(HID_T), intent(in) :: group_id
@@ -1145,127 +799,15 @@ contains
     logical,      intent(in), optional :: indep   ! independent I/O
 
     integer(HSIZE_T) :: dims(1)
+    logical(C_BOOL) :: indep_
 
-    dims(:) = shape(buffer)
-    if (present(indep)) then
-      call write_integer_1D_explicit(group_id, dims, name, buffer, indep)
-    else
-      call write_integer_1D_explicit(group_id, dims, name, buffer)
-    end if
+    dims(1) = size(buffer)
+    indep_ = .false.
+    if (present(indep)) indep_ = indep
+
+    call write_int_c(group_id, 1, dims, to_c_string(name), buffer, indep_)
   end subroutine write_integer_1D
 
-  subroutine write_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(in), target   :: buffer(dims(1)) ! data to write
-    logical,      intent(in), optional :: 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
-    type(c_ptr) :: f_ptr
-
-    ! 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
-
-    call h5screate_simple_f(1, dims, dspace, hdf5_err)
-    call h5dcreate_f(group_id, trim(name), H5T_NATIVE_INTEGER, &
-         dspace, dset, hdf5_err)
-    f_ptr = c_loc(buffer)
-
-    if (using_mpio_device(group_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 h5dwrite_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dwrite_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
-    end if
-
-    call h5dclose_f(dset, hdf5_err)
-    call h5sclose_f(dspace, hdf5_err)
-  end subroutine write_integer_1D_explicit
-
-!===============================================================================
-! READ_INTEGER_1D reads integer precision 1-D array data
-!===============================================================================
-
-  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)
-
-    ! 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_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(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
-    type(c_ptr) :: f_ptr
-
-    ! 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 = c_loc(buffer)
-
-    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, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dread_f(dset_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
-    end if
-  end subroutine read_integer_1D_explicit
-
-!===============================================================================
-! WRITE_INTEGER_2D writes integer precision 2-D array data
-!===============================================================================
-
   subroutine write_integer_2D(group_id, name, buffer, indep)
     integer(HID_T), intent(in) :: group_id
     character(*), intent(in)           :: name      ! name of data
@@ -1273,127 +815,18 @@ contains
     logical,      intent(in), optional :: indep   ! independent I/O
 
     integer(HSIZE_T) :: dims(2)
+    logical(C_BOOL) :: indep_
 
-    dims(:) = shape(buffer)
-    if (present(indep)) then
-      call write_integer_2D_explicit(group_id, dims, name, buffer, indep)
-    else
-      call write_integer_2D_explicit(group_id, dims, name, buffer)
-    end if
+    ! Reverse shape of array since it will be written from C
+    dims(1) = size(buffer, 2)
+    dims(2) = size(buffer, 1)
+
+    indep_ = .false.
+    if (present(indep)) indep_ = indep
+
+    call write_int_c(group_id, 2, dims, to_c_string(name), buffer, indep_)
   end subroutine write_integer_2D
 
-  subroutine write_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(in), target   :: buffer(dims(1),dims(2))
-    logical,      intent(in), optional :: 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
-    type(c_ptr) :: f_ptr
-
-    ! 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
-
-    call h5screate_simple_f(2, dims, dspace, hdf5_err)
-    call h5dcreate_f(group_id, trim(name), H5T_NATIVE_INTEGER, &
-         dspace, dset, hdf5_err)
-    f_ptr = c_loc(buffer)
-
-    if (using_mpio_device(group_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 h5dwrite_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dwrite_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
-    end if
-
-    call h5dclose_f(dset, hdf5_err)
-    call h5sclose_f(dspace, hdf5_err)
-  end subroutine write_integer_2D_explicit
-
-!===============================================================================
-! READ_INTEGER_2D reads integer precision 2-D array data
-!===============================================================================
-
-  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)
-
-    ! 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_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(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
-    type(c_ptr) :: f_ptr
-
-    ! 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 = c_loc(buffer)
-
-    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, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dread_f(dset_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
-    end if
-  end subroutine read_integer_2D_explicit
-
-!===============================================================================
-! WRITE_INTEGER_3D writes integer precision 3-D array data
-!===============================================================================
-
   subroutine write_integer_3D(group_id, name, buffer, indep)
     integer(HID_T), intent(in) :: group_id
     character(*), intent(in)           :: name      ! name of data
@@ -1401,127 +834,19 @@ contains
     logical,      intent(in), optional :: indep   ! independent I/O
 
     integer(HSIZE_T) :: dims(3)
+    logical(C_BOOL) :: indep_
 
-    dims(:) = shape(buffer)
-    if (present(indep)) then
-      call write_integer_3D_explicit(group_id, dims, name, buffer, indep)
-    else
-      call write_integer_3D_explicit(group_id, dims, name, buffer)
-    end if
+    ! Reverse shape of array since it will be written from C
+    dims(1) = size(buffer, 3)
+    dims(2) = size(buffer, 2)
+    dims(3) = size(buffer, 1)
+
+    indep_ = .false.
+    if (present(indep)) indep_ = indep
+
+    call write_int_c(group_id, 3, dims, to_c_string(name), buffer, indep_)
   end subroutine write_integer_3D
 
-  subroutine write_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(in), target   :: buffer(dims(1),dims(2),dims(3))
-    logical,      intent(in), optional :: 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
-    type(c_ptr) :: f_ptr
-
-    ! 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
-
-    call h5screate_simple_f(3, dims, dspace, hdf5_err)
-    call h5dcreate_f(group_id, trim(name), H5T_NATIVE_INTEGER, &
-         dspace, dset, hdf5_err)
-    f_ptr = c_loc(buffer)
-
-    if (using_mpio_device(group_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 h5dwrite_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dwrite_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
-    end if
-
-    call h5dclose_f(dset, hdf5_err)
-    call h5sclose_f(dspace, hdf5_err)
-  end subroutine write_integer_3D_explicit
-
-!===============================================================================
-! READ_INTEGER_3D reads integer precision 3-D array data
-!===============================================================================
-
-  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)
-
-    ! 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_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(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
-    type(c_ptr) :: f_ptr
-
-    ! 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 = c_loc(buffer)
-
-    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, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dread_f(dset_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
-    end if
-  end subroutine read_integer_3D_explicit
-
-!===============================================================================
-! WRITE_INTEGER_4D writes integer precision 4-D array data
-!===============================================================================
-
   subroutine write_integer_4D(group_id, name, buffer, indep)
     integer(HID_T), intent(in) :: group_id
     character(*), intent(in)           :: name      ! name of data
@@ -1529,60 +854,113 @@ contains
     logical,      intent(in), optional :: indep   ! independent I/O
 
     integer(HSIZE_T) :: dims(4)
+    logical(C_BOOL) :: indep_
 
-    dims(:) = shape(buffer)
-    if (present(indep)) then
-      call write_integer_4D_explicit(group_id, dims, name, buffer, indep)
-    else
-      call write_integer_4D_explicit(group_id, dims, name, buffer)
-    end if
+    ! Reverse shape of array since it will be written from C
+    dims(1) = size(buffer, 4)
+    dims(2) = size(buffer, 3)
+    dims(3) = size(buffer, 2)
+    dims(4) = size(buffer, 1)
+
+    indep_ = .false.
+    if (present(indep)) indep_ = indep
+
+    call write_int_c(group_id, 3, dims, to_c_string(name), buffer, indep_)
   end subroutine write_integer_4D
 
-  subroutine write_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(in), target   :: buffer(dims(1),dims(2),dims(3),dims(4))
-    logical,      intent(in), optional :: indep   ! independent I/O
+!===============================================================================
+! READ_INTEGER_ND reads integer precision N-D array data
+!===============================================================================
 
-    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
-    type(c_ptr) :: f_ptr
+  subroutine read_integer_0D(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
 
-    ! 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
+    integer(C_INT) :: buffer_(1)
+    logical(C_BOOL) :: indep_
+    character(kind=C_CHAR), target, allocatable :: name_(:)
 
-    call h5screate_simple_f(4, dims, dspace, hdf5_err)
-    call h5dcreate_f(group_id, trim(name), H5T_NATIVE_INTEGER, &
-         dspace, dset, hdf5_err)
-    f_ptr = c_loc(buffer)
+    indep_ = .false.
+    if (present(indep)) indep_ = indep
 
-    if (using_mpio_device(group_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 h5dwrite_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
+    ! 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
+      name_ = to_c_string(name)
+      call read_int_c(obj_id, c_loc(name_), buffer_, indep_)
     else
-      call h5dwrite_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
+      call read_int_c(obj_id, C_NULL_PTR, buffer_, indep_)
     end if
+    buffer = buffer_(1)
+  end subroutine read_integer_0D
 
-    call h5dclose_f(dset, hdf5_err)
-    call h5sclose_f(dspace, hdf5_err)
-  end subroutine write_integer_4D_explicit
+  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
 
-!===============================================================================
-! READ_INTEGER_4D reads integer precision 4-D array data
-!===============================================================================
+    logical(C_BOOL) :: indep_
+    character(kind=C_CHAR), target, allocatable :: name_(:)
+
+    indep_ = .false.
+    if (present(indep)) indep_ = 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
+      name_ = to_c_string(name)
+      call read_int_c(obj_id, c_loc(name_), buffer, indep_)
+    else
+      call read_int_c(obj_id, C_NULL_PTR, buffer, indep_)
+    end if
+  end subroutine read_integer_1D
+
+  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
+
+    logical(C_BOOL) :: indep_
+    character(kind=C_CHAR), target, allocatable :: name_(:)
+
+    indep_ = .false.
+    if (present(indep)) indep_ = 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
+      name_ = to_c_string(name)
+      call read_int_c(obj_id, c_loc(name_), buffer, indep_)
+    else
+      call read_int_c(obj_id, C_NULL_PTR, buffer, indep_)
+    end if
+  end subroutine read_integer_2D
+
+  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
+
+    logical(C_BOOL) :: indep_
+    character(kind=C_CHAR), target, allocatable :: name_(:)
+
+    indep_ = .false.
+    if (present(indep)) indep_ = 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
+      name_ = to_c_string(name)
+      call read_int_c(obj_id, c_loc(name_), buffer, indep_)
+    else
+      call read_int_c(obj_id, C_NULL_PTR, buffer, indep_)
+    end if
+  end subroutine read_integer_3D
 
   subroutine read_integer_4D(buffer, obj_id, name, indep)
     integer, target,        intent(inout) :: buffer(:,:,:,:)
@@ -1590,62 +968,22 @@ contains
     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)
+    logical(C_BOOL) :: indep_
+    character(kind=C_CHAR), target, allocatable :: name_(:)
+
+    indep_ = .false.
+    if (present(indep)) indep_ = 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)
+      name_ = to_c_string(name)
+      call read_int_c(obj_id, c_loc(name_), buffer, indep_)
     else
-      dset_id = obj_id
+      call read_int_c(obj_id, C_NULL_PTR, buffer, indep_)
     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(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
-    type(c_ptr) :: f_ptr
-
-    ! 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 = c_loc(buffer)
-
-    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, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dread_f(dset_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
-    end if
-  end subroutine read_integer_4D_explicit
-
 !===============================================================================
 ! WRITE_LONG writes long integer scalar data
 !===============================================================================
@@ -1656,40 +994,15 @@ contains
     integer(8),   intent(in), target   :: buffer  ! data to write
     logical,      intent(in), optional :: 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
-    type(c_ptr) :: f_ptr
+    integer(HSIZE_T) :: dims(0)
+    logical(C_BOOL) :: indep_
+    integer(C_LONG_LONG) :: buffer_(1)
 
-    ! 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
+    indep_ = .false.
+    if (present(indep)) indep_ = indep
+    buffer_(1) = buffer
 
-    ! Create dataspace and dataset
-    call h5screate_f(H5S_SCALAR_F, dspace, hdf5_err)
-    call h5dcreate_f(group_id, trim(name), hdf5_integer8_t, &
-                     dspace, dset, hdf5_err)
-    f_ptr = c_loc(buffer)
-
-    if (using_mpio_device(group_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 h5dwrite_f(dset, hdf5_integer8_t, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dwrite_f(dset, hdf5_integer8_t, f_ptr, hdf5_err)
-    end if
-
-    call h5dclose_f(dset, hdf5_err)
-    call h5sclose_f(dspace, hdf5_err)
+    call write_llong_c(group_id, 0, dims, to_c_string(name), buffer_, indep_)
   end subroutine write_long
 
 !===============================================================================
@@ -1702,42 +1015,22 @@ contains
     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_id
-    type(c_ptr)    :: f_ptr
+    integer(C_LONG_LONG) :: buffer_(1)
+    logical(C_BOOL) :: indep_
+    character(kind=C_CHAR), target, allocatable :: name_(:)
+
+    indep_ = .false.
+    if (present(indep)) indep_ = 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)
+      name_ = to_c_string(name)
+      call read_llong_c(obj_id, c_loc(name_), buffer_, indep_)
     else
-      dset_id = obj_id
+      call read_llong_c(obj_id, C_NULL_PTR, buffer_, indep_)
     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
-
-    f_ptr = c_loc(buffer)
-
-    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, hdf5_integer8_t, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dread_f(dset_id, hdf5_integer8_t, f_ptr, hdf5_err)
-    end if
-
-    if (present(name)) call h5dclose_f(dset_id, hdf5_err)
+    buffer = buffer_(1)
   end subroutine read_long
 
 !===============================================================================
@@ -1750,58 +1043,16 @@ contains
     character(*), intent(in), target   :: buffer  ! read data to here
     logical,      intent(in), optional :: 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) :: filetype
-    integer(SIZE_T) :: i, n
-    character(kind=C_CHAR), allocatable, target :: temp_buffer(:)
-    type(c_ptr) :: f_ptr
+    integer(HSIZE_T) :: dims(0)
+    integer(C_SIZE_T) :: slen
+    logical(C_BOOL) :: indep_
 
-    ! 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
+    indep_ = .false.
+    if (present(indep)) indep_ = indep
+    slen = len_trim(buffer)
 
-    ! Create datatype for HDF5 file based on C char
-    n = len_trim(buffer)
-    if (n > 0) then
-      call h5tcopy_f(H5T_C_S1, filetype, hdf5_err)
-      call h5tset_size_f(filetype, n, hdf5_err)
-
-      ! Create dataspace/dataset
-      call h5screate_f(H5S_SCALAR_F, dspace, hdf5_err)
-      call h5dcreate_f(group_id, trim(name), filetype, dspace, dset, hdf5_err)
-
-      ! Copy string to temporary buffer
-      allocate(temp_buffer(n))
-      do i = 1, n
-        temp_buffer(i) = buffer(i:i)
-      end do
-
-      ! Get pointer to start of string
-      f_ptr = c_loc(temp_buffer(1))
-
-      if (using_mpio_device(group_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 h5dwrite_f(dset, filetype, f_ptr, hdf5_err, xfer_prp=plist)
-        call h5pclose_f(plist, hdf5_err)
-#endif
-      else
-        call h5dwrite_f(dset, filetype, f_ptr, hdf5_err)
-      end if
-
-      call h5dclose_f(dset, hdf5_err)
-      call h5sclose_f(dspace, hdf5_err)
-      call h5tclose_f(filetype, hdf5_err)
-    end if
+    call write_string_c(group_id, 0, dims, slen, to_c_string(name), &
+         to_c_string(buffer), indep_)
   end subroutine write_string
 
 !===============================================================================
@@ -1814,67 +1065,32 @@ contains
     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_id
-    integer(HID_T) :: filetype
-    integer(HID_T) :: memtype
-    integer(SIZE_T) :: i, n
-    character(kind=C_CHAR), allocatable, target :: temp_buffer(:)
-    type(c_ptr) :: f_ptr
+    integer(C_SIZE_T) :: i, n
+    logical(C_BOOL) :: indep_
+    character(kind=C_CHAR), allocatable, target :: buffer_(:)
 
     if (present(name)) then
-      call h5dopen_f(obj_id, trim(name), dset_id, hdf5_err)
+      dset_id = open_dataset(obj_id, name)
     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
+    ! Allocate a C char array to get string
+    n = dataset_typesize(dset_id)
+    allocate(buffer_(n))
 
-    ! Make sure buffer is large enough
-    call h5dget_type_f(dset_id, filetype, hdf5_err)
-    call h5tget_size_f(filetype, n, hdf5_err)
-    if (n > 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, n + 1, hdf5_err)
-
-    ! Get pointer to start of string
-    allocate(temp_buffer(n))
-    f_ptr = c_loc(temp_buffer(1))
-
-    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, memtype, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      call h5dread_f(dset_id, memtype, f_ptr, hdf5_err)
-    end if
+    indep_ = .false.
+    if (present(indep)) indep_ = indep
+    call read_string_c(dset_id, C_NULL_PTR, n, buffer_, indep_)
 
     buffer = ''
     do i = 1, n
-      if (temp_buffer(i) == C_NULL_CHAR) cycle
-      buffer(i:i) = temp_buffer(i)
+      if (buffer_(i) == C_NULL_CHAR) cycle
+      buffer(i:i) = buffer_(i)
     end do
 
-    if (present(name)) call h5dclose_f(dset_id, hdf5_err)
-
-    call h5tclose_f(filetype, hdf5_err)
-    call h5tclose_f(memtype, hdf5_err)
+    call close_dataset(dset_id)
   end subroutine read_string
 
 !===============================================================================
@@ -1887,74 +1103,29 @@ contains
     character(*), intent(in), target   :: buffer(:)  ! read data to here
     logical,      intent(in), optional :: indep ! independent I/O
 
+    integer(HSIZE_T) :: i
     integer(HSIZE_T) :: dims(1)
+    integer(C_SIZE_T) :: m, n
+    logical(C_BOOL) :: indep_
+    character(kind=C_CHAR), allocatable :: buffer_(:)
 
-    dims(:) = shape(buffer)
-    if (present(indep)) then
-      call write_string_1D_explicit(group_id, dims, name, buffer, indep)
-    else
-      call write_string_1D_explicit(group_id, dims, name, buffer)
-    end if
+    indep_ = .false.
+    if (present(indep)) indep_ = indep
+
+    ! Copy array of characters into an array of C chars with the right memory
+    ! layout
+    dims(1) = size(buffer)
+    m = maxval(len_trim(buffer)) + 1
+    allocate(buffer_(dims(1)*m))
+    do i = 0, dims(1) - 1
+      n = len_trim(buffer(i+1)) + 1
+      buffer_(i*m+1 : i*m+n) = to_c_string(buffer(i+1))
+    end do
+
+    call write_string_c(group_id, 1, dims, m, to_c_string(name), &
+         buffer_, indep_)
   end subroutine write_string_1D
 
-  subroutine write_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(in), target   :: buffer(dims(1))
-    logical,      intent(in), optional :: 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) :: filetype
-    integer(HID_T) :: memtype
-    integer(SIZE_T) :: n
-    type(c_ptr) :: f_ptr
-
-    ! 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
-
-    ! Create datatype for HDF5 file based on C char
-    n = maxval(len_trim(buffer))
-    call h5tcopy_f(H5T_C_S1, filetype, hdf5_err)
-    call h5tset_size_f(filetype, n + 1, hdf5_err)
-
-    ! Create datatype in memory based on Fortran character
-    call h5tcopy_f(H5T_FORTRAN_S1, memtype, hdf5_err)
-    call h5tset_size_f(memtype, int(len(buffer(1)), SIZE_T), hdf5_err)
-
-    ! Create dataspace/dataset
-    call h5screate_simple_f(1, dims, dspace, hdf5_err)
-    call h5dcreate_f(group_id, trim(name), filetype, dspace, dset, hdf5_err)
-
-    ! Get pointer to start of string
-    f_ptr = c_loc(buffer(1)(1:1))
-
-    if (using_mpio_device(group_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)
-      if (n > 0) call h5dwrite_f(dset, memtype, f_ptr, hdf5_err, xfer_prp=plist)
-      call h5pclose_f(plist, hdf5_err)
-#endif
-    else
-      if (n > 0) call h5dwrite_f(dset, memtype, f_ptr, hdf5_err)
-    end if
-
-    call h5dclose_f(dset, hdf5_err)
-    call h5sclose_f(dspace, hdf5_err)
-    call h5tclose_f(memtype, hdf5_err)
-    call h5tclose_f(filetype, hdf5_err)
-  end subroutine write_string_1D_explicit
-
 !===============================================================================
 ! READ_STRING_1D reads string 1-D array data
 !===============================================================================
@@ -1965,87 +1136,39 @@ contains
     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)
+    integer(HID_T) :: dset_id
+    integer(C_SIZE_T) :: i, j, k, n, m
+    logical(C_BOOL) :: indep_
+    character(kind=C_CHAR), allocatable, target :: buffer_(:)
 
-    ! 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)
+      dset_id = open_dataset(obj_id, name)
     else
       dset_id = obj_id
     end if
 
-    dims(:) = shape(buffer)
+    ! Allocate a C char array to get strings
+    n = dataset_typesize(dset_id)
+    m = size(buffer)
+    allocate(buffer_(n*m))
 
-    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
+    indep_ = .false.
+    if (present(indep)) indep_ = indep
+    call read_string_c(dset_id, C_NULL_PTR, n, buffer_, indep_)
+
+    ! Convert null-terminated C strings into Fortran strings
+    do i = 1, m
+      buffer(i) = ''
+      do j = 1, n
+        k = (i-1)*n + j
+        if (buffer_(k) == C_NULL_CHAR) exit
+        buffer(i)(j:j) = buffer_(k)
+      end do
+    end do
+
+    call close_dataset(dset_id)
   end subroutine read_string_1D
 
-  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) :: space_id
-    integer(HID_T) :: filetype
-    integer(HID_T) :: memtype
-    integer(SIZE_T) :: size
-    integer(SIZE_T) :: n
-    type(c_ptr) :: f_ptr
-
-    ! 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 h5dget_space_f(dset_id, space_id, hdf5_err)
-
-    ! Make sure buffer is large enough
-    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 &
-           &read HDF5 string array.")
-    end if
-
-    ! Get datatype in memory based on Fortran character
-    n = len(buffer(1))
-    call h5tcopy_f(H5T_FORTRAN_S1, memtype, hdf5_err)
-    call h5tset_size_f(memtype, n, hdf5_err)
-
-    ! Get pointer to start of string
-    f_ptr = c_loc(buffer(1)(1:1))
-
-    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, 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_id, memtype, f_ptr, hdf5_err, mem_space_id=space_id)
-    end if
-
-    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
-
 !===============================================================================
 ! WRITE_ATTRIBUTE_STRING
 !===============================================================================
@@ -2055,41 +1178,8 @@ contains
     character(*), intent(in)         :: name      ! name of attribute
     character(*), intent(in), target :: buffer    ! string to write
 
-    integer        :: hdf5_err
-    integer(HID_T) :: dspace_id
-    integer(HID_T) :: attr_id
-    integer(HID_T) :: filetype
-    integer(SIZE_T) :: i
-    integer(SIZE_T) :: n
-    character(kind=C_CHAR), allocatable, target :: temp_buffer(:)
-    type(c_ptr) :: f_ptr
 
-    ! Create datatype for HDF5 file based on C char
-    n = len_trim(buffer)
-    if (n > 0) then
-      call h5tcopy_f(H5T_C_S1, filetype, hdf5_err)
-      call h5tset_size_f(filetype, n, hdf5_err)
-
-      ! Create memory space and attribute
-      call h5screate_f(H5S_SCALAR_F, dspace_id, hdf5_err)
-      call h5acreate_f(obj_id, trim(name), filetype, dspace_id, &
-           attr_id, hdf5_err)
-
-      ! Copy string to temporary buffer
-      allocate(temp_buffer(n))
-      do i = 1, n
-        temp_buffer(i) = buffer(i:i)
-      end do
-
-      ! Write attribute
-      f_ptr = c_loc(buffer(1:1))
-      call h5awrite_f(attr_id, filetype, f_ptr, hdf5_err)
-
-      ! Close attribute
-      call h5aclose_f(attr_id, hdf5_err)
-      call h5sclose_f(dspace_id, hdf5_err)
-      call h5tclose_f(filetype, hdf5_err)
-    end if
+    call write_attr_string_c(obj_id, to_c_string(name), to_c_string(buffer))
   end subroutine write_attribute_string
 
   subroutine read_attribute_double(buffer, obj_id, name)
@@ -2097,14 +1187,10 @@ contains
     integer(HID_T), intent(in)            :: obj_id
     character(*),   intent(in)            :: name
 
-    integer        :: hdf5_err
-    integer(HID_T) :: attr_id
-    type(c_ptr)    :: f_ptr
+    real(C_DOUBLE) :: buffer_(1)
 
-    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)
+    call read_attr_double_c(obj_id, to_c_string(name), buffer_)
+    buffer = buffer_(1)
   end subroutine read_attribute_double
 
   subroutine write_attribute_double(obj_id, name, buffer)
@@ -2112,18 +1198,11 @@ contains
     character(*),   intent(in)  :: name
     real(8), intent(in), target :: buffer
 
-    integer        :: hdf5_err
-    integer(HID_T) :: dspace_id
-    integer(HID_T) :: attr_id
-    type(C_PTR)    :: f_ptr
+    integer(HSIZE_T) :: dims(0)
+    real(C_DOUBLE) :: buffer_(1)
 
-    call h5screate_f(H5S_SCALAR_F, dspace_id, hdf5_err)
-    call h5acreate_f(obj_id, trim(name), H5T_NATIVE_DOUBLE, dspace_id, &
-         attr_id, hdf5_err)
-    f_ptr = c_loc(buffer)
-    call h5awrite_f(attr_id, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
-    call h5aclose_f(attr_id, hdf5_err)
-    call h5sclose_f(dspace_id, hdf5_err)
+    buffer_(1) = buffer
+    call write_attr_double_c(obj_id, 0, dims, to_c_string(name), buffer_)
   end subroutine write_attribute_double
 
   subroutine read_attribute_double_1D(buffer, obj_id, name)
@@ -2131,39 +1210,16 @@ contains
     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)
+    if (.not. allocated(buffer)) then
+      call get_shape_attr(obj_id, to_c_string(name), dims)
       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)
+    call read_attr_double_c(obj_id, to_c_string(name), buffer)
   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 write_attribute_double_1D(obj_id, name, buffer)
     integer(HID_T),  intent(in) :: obj_id
     character(*),    intent(in) :: name
@@ -2171,81 +1227,34 @@ contains
 
     integer(HSIZE_T) :: dims(1)
 
-    dims(:) = shape(buffer)
-    call write_attribute_double_1D_explicit(obj_id, dims, name, buffer)
+    dims(1) = size(buffer)
+    call write_attr_double_c(obj_id, 1, dims, to_c_string(name), buffer)
   end subroutine write_attribute_double_1D
 
-  subroutine write_attribute_double_1D_explicit(obj_id, dims, name, buffer)
-    integer(HID_T),   intent(in) :: obj_id
-    integer(HSIZE_T), intent(in) :: dims(1)
-    character(*),     intent(in) :: name
-    real(8), target,  intent(in) :: buffer(dims(1))
-
-    integer        :: hdf5_err
-    integer(HID_T) :: dspace_id
-    integer(HID_T) :: attr_id
-    type(C_PTR)    :: f_ptr
-
-    call h5screate_simple_f(1, dims, dspace_id, hdf5_err)
-    call h5acreate_f(obj_id, trim(name), H5T_NATIVE_DOUBLE, dspace_id, &
-         attr_id, hdf5_err)
-    f_ptr = c_loc(buffer)
-    call h5awrite_f(attr_id, H5T_NATIVE_DOUBLE, f_ptr, hdf5_err)
-    call h5aclose_f(attr_id, hdf5_err)
-    call h5sclose_f(dspace_id, hdf5_err)
-  end subroutine write_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)
+    if (.not. allocated(buffer)) then
+      call get_shape_attr(obj_id, to_c_string(name), dims)
+      allocate(buffer(dims(2), dims(1)))
     end if
 
-    call read_attribute_double_2D_explicit(attr_id, dims, buffer)
-    call h5aclose_f(attr_id, hdf5_err)
+    call read_attr_double_c(obj_id, to_c_string(name), buffer)
   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
+    integer(C_INT) :: buffer_(1)
 
-    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)
+    call read_attr_int_c(obj_id, to_c_string(name), buffer_)
+    buffer = buffer_(1)
   end subroutine read_attribute_integer
 
   subroutine write_attribute_integer(obj_id, name, buffer)
@@ -2253,18 +1262,11 @@ contains
     character(*),   intent(in)  :: name
     integer, intent(in), target :: buffer
 
-    integer        :: hdf5_err
-    integer(HID_T) :: dspace_id
-    integer(HID_T) :: attr_id
-    type(C_PTR)    :: f_ptr
+    integer(HSIZE_T) :: dims(0)
+    integer(C_INT) :: buffer_(1)
 
-    call h5screate_f(H5S_SCALAR_F, dspace_id, hdf5_err)
-    call h5acreate_f(obj_id, trim(name), H5T_NATIVE_INTEGER, dspace_id, &
-         attr_id, hdf5_err)
-    f_ptr = c_loc(buffer)
-    call h5awrite_f(attr_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
-    call h5aclose_f(attr_id, hdf5_err)
-    call h5sclose_f(dspace_id, hdf5_err)
+    buffer_(1) = buffer
+    call write_attr_int_c(obj_id, 0, dims, to_c_string(name), buffer_)
   end subroutine write_attribute_integer
 
   subroutine read_attribute_integer_1D(buffer, obj_id, name)
@@ -2272,39 +1274,16 @@ contains
     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)
+    if (.not. allocated(buffer)) then
+      call get_shape_attr(obj_id, to_c_string(name), dims)
       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)
+    call read_attr_int_c(obj_id, to_c_string(name), buffer)
   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 write_attribute_integer_1D(obj_id, name, buffer)
     integer(HID_T),  intent(in) :: obj_id
     character(*),    intent(in) :: name
@@ -2312,111 +1291,46 @@ contains
 
     integer(HSIZE_T) :: dims(1)
 
-    dims(:) = shape(buffer)
-    call write_attribute_integer_1D_explicit(obj_id, dims, name, buffer)
+    dims(1) = size(buffer)
+    call write_attr_int_c(obj_id, 1, dims, to_c_string(name), buffer)
   end subroutine write_attribute_integer_1D
 
-  subroutine write_attribute_integer_1D_explicit(obj_id, dims, name, buffer)
-    integer(HID_T),   intent(in) :: obj_id
-    integer(HSIZE_T), intent(in) :: dims(1)
-    character(*),     intent(in) :: name
-    integer, target,  intent(in) :: buffer(dims(1))
-
-    integer        :: hdf5_err
-    integer(HID_T) :: dspace_id
-    integer(HID_T) :: attr_id
-    type(C_PTR)    :: f_ptr
-
-    call h5screate_simple_f(1, dims, dspace_id, hdf5_err)
-    call h5acreate_f(obj_id, trim(name), H5T_NATIVE_INTEGER, dspace_id, &
-         attr_id, hdf5_err)
-    f_ptr = c_loc(buffer)
-    call h5awrite_f(attr_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
-    call h5aclose_f(attr_id, hdf5_err)
-    call h5sclose_f(dspace_id, hdf5_err)
-  end subroutine write_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)
+    if (.not. allocated(buffer)) then
+      call get_shape_attr(obj_id, to_c_string(name), dims)
+      allocate(buffer(dims(2), dims(1)))
     end if
 
-    call read_attribute_integer_2D_explicit(attr_id, dims, buffer)
-    call h5aclose_f(attr_id, hdf5_err)
+    call read_attr_int_c(obj_id, to_c_string(name), buffer)
   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) :: 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
+    integer(C_SIZE_T) :: i, n
+    character(kind=C_CHAR), allocatable, target :: buffer_(:)
 
-    ! Get dataset and dataspace
-    call h5aopen_f(obj_id, trim(name), attr_id, hdf5_err)
+    ! Allocate a C char array to get string
+    n = attribute_typesize(obj_id, to_c_string(name))
+    allocate(buffer_(n))
 
-    ! 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
+    ! Read attribute
+    call read_attr_string_c(obj_id, to_c_string(name), n, buffer_)
 
-    ! 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)
+    ! Copy back to Fortran string
     buffer = ''
-    do i = 1, size
-      if (temp_buffer(i) == C_NULL_CHAR) cycle
-      buffer(i:i) = temp_buffer(i)
+    do i = 1, n
+      if (buffer_(i) == C_NULL_CHAR) cycle
+      buffer(i:i) = buffer_(i)
     end do
-
-    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 read_attribute_string_1D(buffer, obj_id, name)
@@ -2424,247 +1338,98 @@ contains
     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(C_SIZE_T) :: i, j, k, n, m
     integer(HSIZE_T) :: dims(1)
-    integer(HSIZE_T) :: maxdims(1)
+    character(kind=C_CHAR), allocatable, target :: buffer_(:)
 
-    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)
+    if (.not. allocated(buffer)) then
+      call get_shape_attr(obj_id, to_c_string(name), dims)
       allocate(buffer(dims(1)))
-      call h5sclose_f(space_id, hdf5_err)
     end if
 
-    call read_attribute_string_1D_explicit(attr_id, dims, buffer)
-    call h5aclose_f(attr_id, hdf5_err)
+    ! Allocate a C char array to get strings
+    n = attribute_typesize(obj_id, to_c_string(name))
+    m = size(buffer)
+    allocate(buffer_((n+1)*m))
+
+    ! Read attribute
+    call read_attr_string_c(obj_id, to_c_string(name), n, buffer_)
+
+    ! Convert null-terminated C strings into Fortran strings
+    do i = 1, m
+      buffer(i) = ''
+      do j = 1, n
+        k = (i-1)*(n+1) + j
+        if (buffer_(k) == C_NULL_CHAR) exit
+        buffer(i)(j:j) = buffer_(k)
+      end do
+    end do
   end subroutine read_attribute_string_1D
 
-  subroutine read_attribute_string_1D_explicit(attr_id, dims, buffer)
-    integer(HID_T),       intent(in)    :: attr_id
-    integer(HSIZE_T),     intent(in)    :: dims(1)
-    character(*), target, intent(inout) :: buffer(dims(1))
-
-    integer :: hdf5_err
-    integer(HID_T) :: filetype
-    integer(HID_T) :: memtype
-    integer(SIZE_T) :: size
-    integer(SIZE_T) :: n
-    type(c_ptr) :: f_ptr
-
-    ! Make sure buffer is large enough
-    call h5aget_type_f(attr_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 &
-           &read HDF5 string array.")
-    end if
-
-    ! Get datatype in memory based on Fortran character
-    n = len(buffer(1))
-    call h5tcopy_f(H5T_FORTRAN_S1, memtype, hdf5_err)
-    call h5tset_size_f(memtype, n, hdf5_err)
-
-    ! Get pointer to start of string
-    f_ptr = c_loc(buffer(1)(1:1))
-
-    call h5aread_f(attr_id, memtype, f_ptr, hdf5_err)
-
-    call h5tclose_f(filetype, hdf5_err)
-    call h5tclose_f(memtype, hdf5_err)
-  end subroutine read_attribute_string_1D_explicit
-
   subroutine read_attribute_logical(buffer, obj_id, name)
     logical,        intent(inout), target :: buffer
     integer(HID_T), intent(in)            :: obj_id
     character(*),   intent(in)            :: name
 
-    integer, target :: int_buffer
-    integer         :: hdf5_err
-    integer(HID_T)  :: attr_id
-    type(c_ptr)     :: f_ptr
+    integer :: tmp
 
-    call h5aopen_f(obj_id, trim(name), attr_id, hdf5_err)
-    f_ptr = c_loc(int_buffer)
-    call h5aread_f(attr_id, H5T_NATIVE_INTEGER, f_ptr, hdf5_err)
-    call h5aclose_f(attr_id, hdf5_err)
-
-    ! Convert to Fortran logical
-    if (int_buffer == 0) then
-      buffer = .false.
-    else
-      buffer = .true.
-    end if
+    call read_attribute_integer(tmp, obj_id, name)
+    buffer = (tmp /= 0)
   end subroutine read_attribute_logical
 
   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))
+    integer :: i
+    integer(HSIZE_T) :: dims_c(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
+    call get_shape_c(obj_id, dims_c)
+    do i = 1, size(dims)
+      dims(i) = dims_c(size(dims) - i + 1)
+    end do
   end subroutine get_shape
 
   subroutine get_ndims(obj_id, ndims)
     integer(HID_T), intent(in)  :: obj_id
     integer,        intent(out) :: ndims
 
-    integer          :: hdf5_err
-    integer          :: type
-    integer(HID_T)   :: space_id
+    interface
+      function dataset_ndims(dset) result(ndims) bind(C)
+        import HID_T, C_INT
+        integer(HID_T), value :: dset
+        integer(C_INT) :: ndims
+      end function dataset_ndims
+    end interface
 
-    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_ndims_f(space_id, ndims, 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_ndims_f(space_id, ndims, hdf5_err)
-      call h5sclose_f(space_id, hdf5_err)
-    end if
+    ndims = dataset_ndims(obj_id)
   end subroutine get_ndims
 
-  function using_mpio_device(obj_id) result(mpio)
-    integer(HID_T), intent(in) :: obj_id
-    logical :: mpio
-
-    integer :: hdf5_err
-    integer(HID_T) :: driver
-    integer(HID_T) :: file_id
-    integer(HID_T) :: fapl_id
-
-    ! Determine file that this object is part of
-    call h5iget_file_id_f(obj_id, file_id, hdf5_err)
-
-    ! Get file access property list
-    call h5fget_access_plist_f(file_id, fapl_id, hdf5_err)
-
-    ! Get low-level driver identifier
-    call h5pget_driver_f(fapl_id, driver, hdf5_err)
-
-    ! Close file access property list access
-    call h5pclose_f(fapl_id, hdf5_err)
-
-    ! Close file access -- note that this only decreases the reference count so
-    ! that the file is not actually closed
-    call h5fclose_f(file_id, hdf5_err)
-
-    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(:,:)
+    complex(C_DOUBLE_COMPLEX), 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)
+    logical(C_BOOL) :: indep_
+    character(kind=C_CHAR), target, allocatable :: name_(:)
+
+    indep_ = .false.
+    if (present(indep)) indep_ = 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)
+      name_ = to_c_string(name)
+      call read_complex_c(obj_id, c_loc(name_), buffer, indep_)
     else
-      dset_id = obj_id
+      call read_complex_c(obj_id, C_NULL_PTR, buffer, indep_)
     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/hdf5_interface.cpp b/src/hdf5_interface.cpp
new file mode 100644
index 0000000000..8a8391bb54
--- /dev/null
+++ b/src/hdf5_interface.cpp
@@ -0,0 +1,658 @@
+#include "hdf5_interface.h"
+
+#include <array>
+#include <cstring>
+#include <sstream>
+#include <string>
+
+#include "hdf5.h"
+#include "hdf5_hl.h"
+#ifdef OPENMC_MPI
+#include "mpi.h"
+#include "message_passing.h"
+#endif
+#include "error.h"
+
+
+namespace openmc {
+
+bool
+attribute_exists(hid_t obj_id, const char* name)
+{
+  htri_t out = H5Aexists_by_name(obj_id, ".", name, H5P_DEFAULT);
+  return out > 0;
+}
+
+
+size_t
+attribute_typesize(hid_t obj_id, const char* name)
+{
+  hid_t attr = H5Aopen(obj_id, name, H5P_DEFAULT);
+  hid_t filetype = H5Aget_type(attr);
+  size_t n = H5Tget_size(filetype);
+  H5Tclose(filetype);
+  H5Aclose(attr);
+  return n;
+}
+
+
+void
+get_shape(hid_t obj_id, hsize_t* dims)
+{
+  auto type = H5Iget_type(obj_id);
+  hid_t dspace;
+  if (type == H5I_DATASET) {
+    dspace = H5Dget_space(obj_id);
+  } else if (type == H5I_ATTR) {
+    dspace = H5Aget_space(obj_id);
+  }
+  H5Sget_simple_extent_dims(dspace, dims, nullptr);
+  H5Sclose(dspace);
+}
+
+
+void
+get_shape_attr(hid_t obj_id, const char* name, hsize_t* dims)
+{
+  hid_t attr = H5Aopen(obj_id, name, H5P_DEFAULT);
+  hid_t dspace = H5Aget_space(attr);
+  H5Sget_simple_extent_dims(dspace, dims, nullptr);
+  H5Sclose(dspace);
+  H5Aclose(attr);
+}
+
+
+hid_t
+create_group(hid_t parent_id, char const *name)
+{
+  hid_t out = H5Gcreate(parent_id, name, H5P_DEFAULT, H5P_DEFAULT, H5P_DEFAULT);
+  if (out < 0) {
+    std::stringstream err_msg;
+    err_msg << "Failed to create HDF5 group \"" << name << "\"";
+    fatal_error(err_msg);
+  }
+  return out;
+}
+
+
+hid_t
+create_group(hid_t parent_id, const std::string &name)
+{
+  return create_group(parent_id, name.c_str());
+}
+
+
+void
+close_dataset(hid_t dataset_id)
+{
+  if (H5Dclose(dataset_id) < 0) fatal_error("Failed to close dataset");
+}
+
+
+void
+close_group(hid_t group_id)
+{
+  if (H5Gclose(group_id) < 0) fatal_error("Failed to close group");
+}
+
+
+int
+dataset_ndims(hid_t dset)
+{
+  hid_t dspace = H5Dget_space(dset);
+  int ndims = H5Sget_simple_extent_ndims(dspace);
+  H5Sclose(dspace);
+  return ndims;
+}
+
+
+size_t
+dataset_typesize(hid_t dset)
+{
+  hid_t filetype = H5Dget_type(dset);
+  size_t n = H5Tget_size(filetype);
+  H5Tclose(filetype);
+  return n;
+}
+
+
+hid_t
+file_open(const char* filename, char mode, bool parallel)
+{
+  bool create;
+  unsigned int flags;
+  switch (mode) {
+    case 'r':
+    case 'a':
+      create = false;
+      flags = (mode == 'r' ? H5F_ACC_RDONLY : H5F_ACC_RDWR);
+      break;
+    case 'w':
+    case 'x':
+      create = true;
+      flags = (mode == 'x' ? H5F_ACC_EXCL : H5F_ACC_TRUNC);
+      break;
+    default:
+      std::stringstream err_msg;
+      err_msg <<  "Invalid file mode: " << mode;
+      fatal_error(err_msg);
+  }
+
+  hid_t plist = H5P_DEFAULT;
+#ifdef PHDF5
+  if (parallel) {
+    // Setup file access property list with parallel I/O access
+    plist = H5Pcreate(H5P_FILE_ACCESS);
+    H5Pset_fapl_mpio(plist, openmc::mpi::intracomm, MPI_INFO_NULL);
+  }
+#endif
+
+  // Open the file collectively
+  hid_t file_id;
+  if (create) {
+    file_id = H5Fcreate(filename, flags, H5P_DEFAULT, plist);
+  } else {
+    file_id = H5Fopen(filename, flags, plist);
+  }
+  if (file_id < 0) {
+    std::stringstream msg;
+    msg << "Failed to open HDF5 file with mode '" << mode << "': " << filename;
+    fatal_error(msg);
+  }
+
+#ifdef PHDF5
+  // Close the property list
+  if (parallel) H5Pclose(plist);
+#endif
+
+  return file_id;
+}
+
+hid_t
+file_open(const std::string& filename, char mode, bool parallel=false)
+{
+  file_open(filename.c_str(), mode, parallel);
+}
+
+void file_close(hid_t file_id)
+{
+  H5Fclose(file_id);
+}
+
+
+void
+get_name(hid_t obj_id, char* name)
+{
+  size_t size = 1 + H5Iget_name(obj_id, nullptr, 0);
+  H5Iget_name(obj_id, name, size);
+}
+
+
+int get_num_datasets(hid_t group_id)
+{
+  // Determine number of links in the group
+  H5G_info_t info;
+  H5Gget_info(group_id, &info);
+
+  // Iterate over links to get number of groups
+  H5O_info_t oinfo;
+  int ndatasets = 0;
+  for (hsize_t i = 0; i < info.nlinks; ++i) {
+    // Determine type of object (and skip non-group)
+    H5Oget_info_by_idx(group_id, ".", H5_INDEX_NAME, H5_ITER_INC, i, &oinfo,
+                       H5P_DEFAULT);
+    if (oinfo.type == H5O_TYPE_DATASET) ndatasets += 1;
+  }
+
+  return ndatasets;
+}
+
+
+int get_num_groups(hid_t group_id)
+{
+  // Determine number of links in the group
+  H5G_info_t info;
+  H5Gget_info(group_id, &info);
+
+  // Iterate over links to get number of groups
+  H5O_info_t oinfo;
+  int ngroups = 0;
+  for (hsize_t i = 0; i < info.nlinks; ++i) {
+    // Determine type of object (and skip non-group)
+    H5Oget_info_by_idx(group_id, ".", H5_INDEX_NAME, H5_ITER_INC, i, &oinfo,
+                       H5P_DEFAULT);
+    if (oinfo.type == H5O_TYPE_GROUP) ngroups += 1;
+  }
+
+  return ngroups;
+}
+
+
+void
+get_datasets(hid_t group_id, char* name[])
+{
+  // Determine number of links in the group
+  H5G_info_t info;
+  H5Gget_info(group_id, &info);
+
+  // Iterate over links to get names
+  H5O_info_t oinfo;
+  hsize_t count = 0;
+  size_t size;
+  for (hsize_t i = 0; i < info.nlinks; ++i) {
+    // Determine type of object (and skip non-group)
+    H5Oget_info_by_idx(group_id, ".", H5_INDEX_NAME, H5_ITER_INC, i, &oinfo,
+                       H5P_DEFAULT);
+    if (oinfo.type != H5O_TYPE_DATASET) continue;
+
+    // Get size of name
+    size = 1 + H5Lget_name_by_idx(group_id, ".", H5_INDEX_NAME, H5_ITER_INC,
+                                  i, nullptr, 0, H5P_DEFAULT);
+
+    // Read name
+    H5Lget_name_by_idx(group_id, ".", H5_INDEX_NAME, H5_ITER_INC, i,
+                       name[count], size, H5P_DEFAULT);
+    count += 1;
+  }
+}
+
+
+void
+get_groups(hid_t group_id, char* name[])
+{
+  // Determine number of links in the group
+  H5G_info_t info;
+  H5Gget_info(group_id, &info);
+
+  // Iterate over links to get names
+  H5O_info_t oinfo;
+  hsize_t count = 0;
+  size_t size;
+  for (hsize_t i = 0; i < info.nlinks; ++i) {
+    // Determine type of object (and skip non-group)
+    H5Oget_info_by_idx(group_id, ".", H5_INDEX_NAME, H5_ITER_INC, i, &oinfo,
+                       H5P_DEFAULT);
+    if (oinfo.type != H5O_TYPE_GROUP) continue;
+
+    // Get size of name
+    size = 1 + H5Lget_name_by_idx(group_id, ".", H5_INDEX_NAME, H5_ITER_INC,
+                                  i, nullptr, 0, H5P_DEFAULT);
+
+    // Read name
+    H5Lget_name_by_idx(group_id, ".", H5_INDEX_NAME, H5_ITER_INC, i,
+                       name[count], size, H5P_DEFAULT);
+    count += 1;
+  }
+}
+
+
+bool
+object_exists(hid_t object_id, const char* name)
+{
+  htri_t out = H5LTpath_valid(object_id, name, true);
+  if (out < 0) {
+    std::stringstream err_msg;
+    err_msg << "Failed to check if object \"" << name << "\" exists.";
+    fatal_error(err_msg);
+  }
+  return (out > 0);
+}
+
+
+hid_t
+open_dataset(hid_t group_id, const char* name)
+{
+  if (object_exists(group_id, name)) {
+    return H5Dopen(group_id, name, H5P_DEFAULT);
+  } else {
+    std::stringstream err_msg;
+    err_msg << "Group \"" << name << "\" does not exist";
+    fatal_error(err_msg);
+  }
+}
+
+
+hid_t
+open_group(hid_t group_id, const char* name)
+{
+  if (object_exists(group_id, name)) {
+    return H5Gopen(group_id, name, H5P_DEFAULT);
+  } else {
+    std::stringstream err_msg;
+    err_msg << "Group \"" << name << "\" does not exist";
+    fatal_error(err_msg);
+  }
+}
+
+void
+read_attr(hid_t obj_id, const char* name, hid_t mem_type_id, void* buffer)
+{
+  hid_t attr = H5Aopen(obj_id, name, H5P_DEFAULT);
+  H5Aread(attr, mem_type_id, buffer);
+  H5Aclose(attr);
+}
+
+
+void
+read_attr_double(hid_t obj_id, const char* name, double* buffer)
+{
+  read_attr(obj_id, name, H5T_NATIVE_DOUBLE, buffer);
+}
+
+
+void
+read_attr_int(hid_t obj_id, const char* name, int* buffer)
+{
+  read_attr(obj_id, name, H5T_NATIVE_INT, buffer);
+}
+
+
+void
+read_attr_string(hid_t obj_id, const char* name, size_t slen, char* buffer)
+{
+  // Create datatype for a string
+  hid_t datatype = H5Tcopy(H5T_C_S1);
+  H5Tset_size(datatype, slen + 1);
+
+  // Read data into buffer
+  read_attr(obj_id, name, datatype, buffer);
+
+  // Free resources
+  H5Tclose(datatype);
+}
+
+
+void
+read_dataset(hid_t obj_id, const char* name, hid_t mem_type_id,
+             void* buffer, bool indep)
+{
+  hid_t dset = obj_id;
+  if (name) dset = open_dataset(obj_id, name);
+
+  if (using_mpio_device(dset)) {
+#ifdef PHDF5
+    // Set up collective vs independent I/O
+    auto data_xfer_mode = indep ? H5FD_MPIO_INDEPENDENT : H5FD_MPIO_COLLECTIVE;
+
+    // Create dataset transfer property list
+    hid_t plist = H5Pcreate(H5P_DATASET_XFER);
+    H5Pset_dxpl_mpio(plist, data_xfer_mode);
+
+    // Read data
+    H5Dread(dset, mem_type_id, H5S_ALL, H5S_ALL, plist, buffer);
+    H5Pclose(plist);
+#endif
+  } else {
+    H5Dread(dset, mem_type_id, H5S_ALL, H5S_ALL, H5P_DEFAULT, buffer);
+  }
+
+  if (name) H5Dclose(dset);
+}
+
+
+void
+read_double(hid_t obj_id, const char* name, double* buffer, bool indep)
+{
+  read_dataset(obj_id, name, H5T_NATIVE_DOUBLE, buffer, indep);
+}
+
+
+void
+read_int(hid_t obj_id, const char* name, int* buffer, bool indep)
+{
+  read_dataset(obj_id, name, H5T_NATIVE_INT, buffer, indep);
+}
+
+
+void
+read_llong(hid_t obj_id, const char* name, long long* buffer, bool indep)
+{
+  read_dataset(obj_id, name, H5T_NATIVE_LLONG, buffer, indep);
+}
+
+
+void
+read_string(hid_t obj_id, const char* name, size_t slen, char* buffer, bool indep)
+{
+  // Create datatype for a string
+  hid_t datatype = H5Tcopy(H5T_C_S1);
+  H5Tset_size(datatype, slen + 1);
+
+  // Read data into buffer
+  read_dataset(obj_id, name, datatype, buffer, indep);
+
+  // Free resources
+  H5Tclose(datatype);
+}
+
+
+void
+read_complex(hid_t obj_id, const char* name, double _Complex* buffer, bool indep)
+{
+  // Create compound datatype for complex numbers
+  struct complex_t {
+    double re;
+    double im;
+  };
+  complex_t tmp;
+  hid_t complex_id = H5Tcreate(H5T_COMPOUND, sizeof tmp);
+  H5Tinsert(complex_id, "r", HOFFSET(complex_t, re), H5T_NATIVE_DOUBLE);
+  H5Tinsert(complex_id, "i", HOFFSET(complex_t, im), H5T_NATIVE_DOUBLE);
+
+  // Read data
+  read_dataset(obj_id, name, complex_id, buffer, indep);
+
+  // Free resources
+  H5Tclose(complex_id);
+}
+
+
+void
+read_tally_results(hid_t group_id, hsize_t n_filter, hsize_t n_score, double* results)
+{
+  // Create dataspace for hyperslab in memory
+  hsize_t dims[] {n_filter, n_score, 3};
+  hsize_t start[] {0, 0, 1};
+  hsize_t count[] {n_filter, n_score, 2};
+  hid_t memspace = H5Screate_simple(3, dims, nullptr);
+  H5Sselect_hyperslab(memspace, H5S_SELECT_SET, start, nullptr, count, nullptr);
+
+  // Create and write dataset
+  hid_t dset = H5Dopen(group_id, "results", H5P_DEFAULT);
+  H5Dread(dset, H5T_NATIVE_DOUBLE, memspace, H5S_ALL, H5P_DEFAULT, results);
+
+  // Free resources
+  H5Dclose(dset);
+  H5Sclose(memspace);
+}
+
+
+void
+write_attr(hid_t obj_id, int ndim, const hsize_t* dims, const char* name,
+           hid_t mem_type_id, const void* buffer)
+{
+  // If array is given, create a simple dataspace. Otherwise, create a scalar
+  // datascape.
+  hid_t dspace;
+  if (ndim > 0) {
+    dspace = H5Screate_simple(ndim, dims, nullptr);
+  } else {
+    dspace = H5Screate(H5S_SCALAR);
+  }
+
+  // Create attribute and Write data
+  hid_t attr = H5Acreate(obj_id, name, mem_type_id, dspace,
+                         H5P_DEFAULT, H5P_DEFAULT);
+  H5Awrite(attr, mem_type_id, buffer);
+
+  // Free resources
+  H5Aclose(attr);
+  H5Sclose(dspace);
+}
+
+
+void
+write_attr_double(hid_t obj_id, int ndim, const hsize_t* dims, const char* name,
+                  const double* buffer)
+{
+  write_attr(obj_id, ndim, dims, name, H5T_NATIVE_DOUBLE, buffer);
+}
+
+
+void
+write_attr_int(hid_t obj_id, int ndim, const hsize_t* dims, const char* name,
+               const int* buffer)
+{
+  write_attr(obj_id, ndim, dims, name, H5T_NATIVE_INT, buffer);
+}
+
+
+void
+write_attr_string(hid_t obj_id, const char* name, const char* buffer)
+{
+  size_t n = strlen(buffer);
+  if (n > 0) {
+    // Set up appropriate datatype for a fixed-length string
+    hid_t datatype = H5Tcopy(H5T_C_S1);
+    H5Tset_size(datatype, n);
+
+    write_attr(obj_id, 0, nullptr, name, datatype, buffer);
+
+    // Free resources
+    H5Tclose(datatype);
+  }
+}
+
+
+void
+write_dataset(hid_t group_id, int ndim, const hsize_t* dims, const char* name,
+              hid_t mem_type_id, const void* buffer, bool indep)
+{
+  // If array is given, create a simple dataspace. Otherwise, create a scalar
+  // datascape.
+  hid_t dspace;
+  if (ndim > 0) {
+    dspace = H5Screate_simple(ndim, dims, nullptr);
+  } else {
+    dspace = H5Screate(H5S_SCALAR);
+  }
+
+  hid_t dset = H5Dcreate(group_id, name, mem_type_id, dspace,
+                         H5P_DEFAULT, H5P_DEFAULT, H5P_DEFAULT);
+
+  if (using_mpio_device(group_id)) {
+#ifdef PHDF5
+    // Set up collective vs independent I/O
+    auto data_xfer_mode = indep ? H5FD_MPIO_INDEPENDENT : H5FD_MPIO_COLLECTIVE;
+
+    // Create dataset transfer property list
+    hid_t plist = H5Pcreate(H5P_DATASET_XFER);
+    H5Pset_dxpl_mpio(plist, data_xfer_mode);
+
+    // Write data
+    H5Dwrite(dset, mem_type_id, H5S_ALL, H5S_ALL, plist, buffer);
+    H5Pclose(plist);
+#endif
+  } else {
+    H5Dwrite(dset, mem_type_id, H5S_ALL, H5S_ALL, H5P_DEFAULT, buffer);
+  }
+
+  // Free resources
+  H5Dclose(dset);
+  H5Sclose(dspace);
+}
+
+
+void
+write_double(hid_t group_id, int ndim, const hsize_t* dims, const char* name,
+             const double* buffer, bool indep)
+{
+  write_dataset(group_id, ndim, dims, name, H5T_NATIVE_DOUBLE, buffer, indep);
+}
+
+
+void
+write_int(hid_t group_id, int ndim, const hsize_t* dims, const char* name,
+          const int* buffer, bool indep)
+{
+  write_dataset(group_id, ndim, dims, name, H5T_NATIVE_INT, buffer, indep);
+}
+
+
+void
+write_llong(hid_t group_id, int ndim, const hsize_t* dims, const char* name,
+            const long long* buffer, bool indep)
+{
+  write_dataset(group_id, ndim, dims, name, H5T_NATIVE_LLONG, buffer, indep);
+}
+
+
+void
+write_string(hid_t group_id, int ndim, const hsize_t* dims, size_t slen,
+             const char* name, const char* buffer, bool indep)
+{
+  if (slen > 0) {
+    // Set up appropriate datatype for a fixed-length string
+    hid_t datatype = H5Tcopy(H5T_C_S1);
+    H5Tset_size(datatype, slen);
+
+    write_dataset(group_id, ndim, dims, name, datatype, buffer, indep);
+
+    // Free resources
+    H5Tclose(datatype);
+  }
+}
+
+
+void
+write_string(hid_t group_id, const char* name, const std::string& buffer, bool indep)
+{
+  write_string(group_id, 0, nullptr, buffer.length(), name, buffer.c_str(), indep);
+}
+
+
+void
+write_tally_results(hid_t group_id, hsize_t n_filter, hsize_t n_score, const double* results)
+{
+  // Set dimensions of sum/sum_sq hyperslab to store
+  hsize_t count[] {n_filter, n_score, 2};
+  hid_t dspace = H5Screate_simple(3, count, nullptr);
+
+  // Set dimensions of results array
+  hsize_t dims[] {n_filter, n_score, 3};
+  hsize_t start[] {0, 0, 1};
+  hid_t memspace = H5Screate_simple(3, dims, nullptr);
+  H5Sselect_hyperslab(memspace, H5S_SELECT_SET, start, nullptr, count, nullptr);
+
+  // Create and write dataset
+  hid_t dset = H5Dcreate(group_id, "results", H5T_NATIVE_DOUBLE, dspace,
+                         H5P_DEFAULT, H5P_DEFAULT, H5P_DEFAULT);
+  H5Dwrite(dset, H5T_NATIVE_DOUBLE, memspace, H5S_ALL, H5P_DEFAULT, results);
+
+  // Free resources
+  H5Dclose(dset);
+  H5Sclose(memspace);
+  H5Sclose(dspace);
+}
+
+
+bool
+using_mpio_device(hid_t obj_id)
+{
+  // Determine file that this object is part of
+  hid_t file_id = H5Iget_file_id(obj_id);
+
+  // Get file access property list
+  hid_t fapl_id = H5Fget_access_plist(file_id);
+
+  // Get low-level driver identifier
+  hid_t driver = H5Pget_driver(fapl_id);
+
+  // Free resources
+  H5Pclose(fapl_id);
+  H5Fclose(file_id);
+
+  return driver == H5FD_MPIO;
+}
+
+} // namespace openmc
diff --git a/src/hdf5_interface.h b/src/hdf5_interface.h
index 7ec9ada9b6..e38a31e997 100644
--- a/src/hdf5_interface.h
+++ b/src/hdf5_interface.h
@@ -1,90 +1,96 @@
 #ifndef HDF5_INTERFACE_H
 #define HDF5_INTERFACE_H
 
-#include <array>
-#include <string.h>
-
 #include "hdf5.h"
+#include "hdf5_hl.h"
 
-#include "error.h"
+#include <array>
+#include <string>
+#include <sstream>
+#include <complex.h>
 
 
 namespace openmc {
 
+extern "C" bool attribute_exists(hid_t obj_id, const char* name);
+extern "C" size_t attribute_typesize(hid_t obj_id, const char* name);
+extern "C" hid_t create_group(hid_t parent_id, const char* name);
+hid_t create_group(hid_t parent_id, const std::string& name);
+extern "C" void close_dataset(hid_t dataset_id);
+extern "C" void close_group(hid_t group_id);
+extern "C" int dataset_ndims(hid_t dset);
+extern "C" size_t dataset_typesize(hid_t dset);
+extern "C" hid_t file_open(const char* filename, char mode, bool parallel);
+hid_t file_open(const std::string& filename, char mode, bool parallel);
+extern "C" void file_close(hid_t file_id);
+extern "C" void get_name(hid_t obj_id, char* name);
+extern "C" int get_num_datasets(hid_t group_id);
+extern "C" int get_num_groups(hid_t group_id);
+extern "C" void get_datasets(hid_t group_id, char* name[]);
+extern "C" void get_groups(hid_t group_id, char* name[]);
+extern "C" void get_shape(hid_t obj_id, hsize_t* dims);
+extern "C" void get_shape_attr(hid_t obj_id, const char* name, hsize_t* dims);
+extern "C" bool object_exists(hid_t object_id, const char* name);
+extern "C" hid_t open_dataset(hid_t group_id, const char* name);
+extern "C" hid_t open_group(hid_t group_id, const char* name);
+bool using_mpio_device(hid_t obj_id);
 
-hid_t
-create_group(hid_t parent_id, char const *name)
-{
-  hid_t out = H5Gcreate(parent_id, name, H5P_DEFAULT, H5P_DEFAULT, H5P_DEFAULT);
-  if (out < 0) {
-    std::string err_msg{"Failed to create HDF5 group \""};
-    err_msg += name;
-    err_msg += "\"";
-    fatal_error(err_msg);
-  }
-  return out;
-}
+void read_attr(hid_t obj_id, const char* name, hid_t mem_type_id,
+               const void* buffer);
+extern "C" void read_attr_double(hid_t obj_id, const char* name, double* buffer);
+extern "C" void read_attr_int(hid_t obj_id, const char* name, int* buffer);
+extern "C" void read_attr_string(hid_t obj_id, const char* name, size_t slen,
+                                 char* buffer);
+
+void read_dataset(hid_t obj_id, const char* name, hid_t mem_type_id,
+                  void* buffer, bool indep);
+extern "C" void read_double(hid_t obj_id, const char* name, double* buffer,
+                            bool indep);
+extern "C" void read_int(hid_t obj_id, const char* name, int* buffer,
+                         bool indep);
+extern "C" void read_llong(hid_t obj_id, const char* name, long long* buffer,
+                           bool indep);
+extern "C" void read_string(hid_t obj_id, const char* name, size_t slen,
+                            char* buffer, bool indep);
+extern "C" void read_complex(hid_t obj_id, const char* name,
+                             double _Complex* buffer, bool indep);
+
+extern "C" void read_tally_results(hid_t group_id, hsize_t n_filter,
+                                   hsize_t n_score, double* results);
+
+void write_attr(hid_t obj_id, int ndim, const hsize_t* dims, const char* name,
+                hid_t mem_type_id, const void* buffer);
+extern "C" void write_attr_double(hid_t obj_id, int ndim, const hsize_t* dims,
+                                  const char* name, const double* buffer);
+extern "C" void write_attr_int(hid_t obj_id, int ndim, const hsize_t* dims,
+                               const char* name, const int* buffer);
+extern "C" void write_attr_string(hid_t obj_id, const char* name, const char* buffer);
 
 
-hid_t
-create_group(hid_t parent_id, const std::string &name)
-{
-  return create_group(parent_id, name.c_str());
-}
+void write_dataset(hid_t group_id, int ndim, const hsize_t* dims, const char* name,
+                   hid_t mem_type_id, const void* buffer, bool indep);
+extern "C" void write_double(hid_t group_id, int ndim, const hsize_t* dims,
+                             const char* name, const double* buffer, bool indep);
+extern "C" void write_int(hid_t group_id, int ndim, const hsize_t* dims,
+                          const char* name, const int* buffer, bool indep);
+extern "C" void write_llong(hid_t group_id, int ndim, const hsize_t* dims,
+                            const char* name, const long long* buffer, bool indep);
+
+extern "C" void write_string(hid_t group_id, int ndim, const hsize_t* dims, size_t slen,
+                             const char* name, char const* buffer, bool indep);
+void write_string(hid_t group_id, const char* name, const std::string& buffer, bool indep);
 
 
-void
-close_group(hid_t group_id)
-{
-  herr_t err = H5Gclose(group_id);
-  if (err < 0) {
-    fatal_error("Failed to close HDF5 group");
-  }
-}
-
+extern "C" void write_tally_results(hid_t group_id, hsize_t n_filter, hsize_t n_score,
+                                    const double* results);
 
 template<std::size_t array_len> void
 write_double_1D(hid_t group_id, char const *name,
                 std::array<double, array_len> &buffer)
 {
-  hsize_t dims[1]{array_len};
-  hid_t dataspace = H5Screate_simple(1, dims, NULL);
-
-  hid_t dataset = H5Dcreate(group_id, name, H5T_NATIVE_DOUBLE, dataspace,
-                            H5P_DEFAULT, H5P_DEFAULT, H5P_DEFAULT);
-
-  H5Dwrite(dataset, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, H5P_DEFAULT,
-           &buffer[0]);
-
-  H5Sclose(dataspace);
-  H5Dclose(dataset);
-}
-
-
-void
-write_string(hid_t group_id, char const *name, char const *buffer)
-{
-  size_t buffer_len = strlen(buffer);
-  hid_t datatype = H5Tcopy(H5T_C_S1);
-  H5Tset_size(datatype, buffer_len);
-
-  hid_t dataspace = H5Screate(H5S_SCALAR);
-
-  hid_t dataset = H5Dcreate(group_id, name, datatype, dataspace,
-                            H5P_DEFAULT, H5P_DEFAULT, H5P_DEFAULT);
-
-  H5Dwrite(dataset, datatype, H5S_ALL, H5S_ALL, H5P_DEFAULT, buffer);
-
-  H5Tclose(datatype);
-  H5Sclose(dataspace);
-  H5Dclose(dataset);
-}
-
-
-void
-write_string(hid_t group_id, char const *name, const std::string &buffer)
-{
-  write_string(group_id, name, buffer.c_str());
+  hsize_t dims[1] {array_len};
+  write_dataset(group_id, 1, dims, name, H5T_NATIVE_DOUBLE,
+                buffer.data(), false);
 }
 
 } // namespace openmc
diff --git a/src/initialize.F90 b/src/initialize.F90
index 7b699b9cb7..d5ce32b312 100644
--- a/src/initialize.F90
+++ b/src/initialize.F90
@@ -1,37 +1,27 @@
 module initialize
 
-  use, intrinsic :: ISO_C_BINDING, only: c_loc
+  use, intrinsic :: ISO_C_BINDING
 
-  use hdf5
 #ifdef _OPENMP
   use omp_lib
 #endif
 
   use bank_header,     only: Bank
   use constants
-  use set_header,      only: SetInt
-  use error,           only: fatal_error, warning, write_message
-  use geometry_header, only: Cell, Universe, Lattice, RectLattice, HexLattice,&
-                             root_universe
-  use hdf5_interface,  only: file_open, read_attribute, file_close, &
-                             hdf5_bank_t, hdf5_integer8_t
   use input_xml,       only: read_input_xml
-  use material_header, only: Material
   use message_passing
-  use mgxs_data,       only: read_mgxs, create_macro_xs
-  use output,          only: print_version, print_usage
   use random_lcg,      only: openmc_set_seed
   use settings
-#ifdef _OPENMP
-  use simulation_header, only: n_threads
-#endif
-  use string,          only: to_str, starts_with, ends_with, str_to_int
-  use tally_header,    only: TallyObject
-  use tally_filter
+  use string,          only: ends_with, to_f_string
   use timer_header
 
   implicit none
 
+  type(C_PTR), bind(C) :: openmc_path_input
+  type(C_PTR), bind(C) :: openmc_path_statepoint
+  type(C_PTR), bind(C) :: openmc_path_sourcepoint
+  type(C_PTR), bind(C) :: openmc_path_particle_restart
+
 contains
 
 !===============================================================================
@@ -41,8 +31,9 @@ contains
 ! setting up timers, etc.
 !===============================================================================
 
-  subroutine openmc_init(intracomm) bind(C)
+  function openmc_init_f(intracomm) result(err) bind(C)
     integer, intent(in), optional :: intracomm  ! MPI intracommunicator
+    integer(C_INT) :: err
 
 #ifdef _OPENMP
     character(MAX_WORD_LEN) :: envvar
@@ -86,9 +77,6 @@ contains
     end if
 #endif
 
-    ! Initialize HDF5 interface
-    call hdf5_initialize()
-
     ! Read command line arguments
     call read_command_line()
 
@@ -105,7 +93,8 @@ contains
     ! Stop initialization timer
     call time_initialize%stop()
 
-  end subroutine openmc_init
+    err = 0
+  end function openmc_init_f
 
 #ifdef OPENMC_MPI
 !===============================================================================
@@ -129,27 +118,11 @@ contains
     integer                   :: bank_types(5)    ! Datatypes
 #endif
     integer(MPI_ADDRESS_KIND) :: bank_disp(5)     ! Displacements
-    logical    :: init_called
     type(Bank) :: b
 
     ! Indicate that MPI is turned on
     mpi_enabled = .true.
-
-    ! Initialize MPI
-    call MPI_INITIALIZED(init_called, mpi_err)
-    if (.not. init_called) call MPI_INIT(mpi_err)
-
-    ! Determine number of processors and rank of each processor
     mpi_intracomm = intracomm
-    call MPI_COMM_SIZE(mpi_intracomm, n_procs, mpi_err)
-    call MPI_COMM_RANK(mpi_intracomm, rank, mpi_err)
-
-    ! Determine master
-    if (rank == 0) then
-      master = .true.
-    else
-      master = .false.
-    end if
 
     ! ==========================================================================
     ! CREATE MPI_BANK TYPE
@@ -174,203 +147,46 @@ contains
   end subroutine initialize_mpi
 #endif
 
-!===============================================================================
-! HDF5_INITIALIZE
-!===============================================================================
-
-  subroutine hdf5_initialize()
-
-    type(Bank),        target :: tmpb(2)         ! temporary Bank
-    integer                   :: hdf5_err
-    integer(HID_T)            :: coordinates_t   ! HDF5 type for 3 reals
-    integer(HSIZE_T)          :: dims(1) = (/3/) ! size of coordinates
-
-    ! Initialize FORTRAN interface.
-    call h5open_f(hdf5_err)
-
-    ! Create compound type for xyz and uvw
-    call h5tarray_create_f(H5T_NATIVE_DOUBLE, 1, dims, coordinates_t, hdf5_err)
-
-    ! Create the compound datatype for Bank
-    call h5tcreate_f(H5T_COMPOUND_F, h5offsetof(c_loc(tmpb(1)), &
-         c_loc(tmpb(2))), hdf5_bank_t, hdf5_err)
-    call h5tinsert_f(hdf5_bank_t, "wgt", h5offsetof(c_loc(tmpb(1)), &
-         c_loc(tmpb(1)%wgt)), H5T_NATIVE_DOUBLE, hdf5_err)
-    call h5tinsert_f(hdf5_bank_t, "xyz", h5offsetof(c_loc(tmpb(1)), &
-         c_loc(tmpb(1)%xyz)), coordinates_t, hdf5_err)
-    call h5tinsert_f(hdf5_bank_t, "uvw", h5offsetof(c_loc(tmpb(1)), &
-         c_loc(tmpb(1)%uvw)), coordinates_t, hdf5_err)
-    call h5tinsert_f(hdf5_bank_t, "E", h5offsetof(c_loc(tmpb(1)), &
-         c_loc(tmpb(1)%E)), H5T_NATIVE_DOUBLE, hdf5_err)
-    call h5tinsert_f(hdf5_bank_t, "delayed_group", h5offsetof(c_loc(tmpb(1)), &
-         c_loc(tmpb(1)%delayed_group)), H5T_NATIVE_INTEGER, hdf5_err)
-
-    ! Determine type for integer(8)
-    hdf5_integer8_t = h5kind_to_type(8, H5_INTEGER_KIND)
-
-  end subroutine hdf5_initialize
-
 !===============================================================================
 ! READ_COMMAND_LINE reads all parameters from the command line
 !===============================================================================
 
   subroutine read_command_line()
+    ! Arguments were already read on C++ side (initialize.cpp). Here we just
+    ! convert the C-style strings to Fortran style
 
-    integer :: i         ! loop index
-    integer :: argc      ! number of command line arguments
-    integer :: last_flag ! index of last flag
-    character(MAX_WORD_LEN) :: filetype
-    integer(HID_T) :: file_id
-    character(MAX_WORD_LEN), allocatable :: argv(:) ! command line arguments
+    character(kind=C_CHAR), pointer :: string(:)
+    interface
+      function is_null(ptr) result(x) bind(C)
+        import C_PTR, C_BOOL
+        type(C_PTR), value :: ptr
+        logical(C_BOOL) :: x
+      end function is_null
+    end interface
 
-    ! Check number of command line arguments and allocate argv
-    argc = COMMAND_ARGUMENT_COUNT()
-
-    ! Allocate and retrieve command arguments
-    allocate(argv(argc))
-    do i = 1, argc
-      call GET_COMMAND_ARGUMENT(i, argv(i))
-    end do
-
-    ! Process command arguments
-    last_flag = 0
-    i = 1
-    do while (i <= argc)
-      ! Check for flags
-      if (starts_with(argv(i), "-")) then
-        select case (argv(i))
-        case ('-p', '-plot', '--plot')
-          run_mode = MODE_PLOTTING
-          check_overlaps = .true.
-
-        case ('-n', '-particles', '--particles')
-          ! Read number of particles per cycle
-          i = i + 1
-          n_particles = str_to_int(argv(i))
-
-          ! Check that number specified was valid
-          if (n_particles == ERROR_INT) then
-            call fatal_error("Must specify integer after " // trim(argv(i-1)) &
-                 &// " command-line flag.")
-          end if
-        case ('-r', '-restart', '--restart')
-          ! Read path for state point/particle restart
-          i = i + 1
-
-          ! Check what type of file this is
-          file_id = file_open(argv(i), 'r', parallel=.true.)
-          call read_attribute(filetype, file_id, 'filetype')
-          call file_close(file_id)
-
-          ! Set path and flag for type of run
-          select case (trim(filetype))
-          case ('statepoint')
-            path_state_point = argv(i)
-            restart_run = .true.
-          case ('particle restart')
-            path_particle_restart = argv(i)
-            particle_restart_run = .true.
-          case default
-            call fatal_error("Unrecognized file after restart flag: " // filetype // ".")
-          end select
-
-          ! If its a restart run check for additional source file
-          if (restart_run .and. i + 1 <= argc) then
-
-            ! Increment arg
-            i = i + 1
-
-            ! Check if it has extension we can read
-            if (ends_with(argv(i), '.h5')) then
-
-              ! Check file type is a source file
-              file_id = file_open(argv(i), 'r', parallel=.true.)
-              call read_attribute(filetype, file_id, 'filetype')
-              call file_close(file_id)
-              if (filetype /= 'source') then
-                call fatal_error("Second file after restart flag must be a &
-                     &source file")
-              end if
-
-              ! It is a source file
-              path_source_point = argv(i)
-
-            else ! Different option is specified not a source file
-
-              ! Source is in statepoint file
-              path_source_point = path_state_point
-
-              ! Set argument back
-              i = i - 1
-
-            end if
-
-          else ! No command line arg after statepoint
-
-            ! Source is assumed to be in statepoint file
-            path_source_point = path_state_point
-
-          end if
-
-        case ('-g', '-geometry-debug', '--geometry-debug')
-          check_overlaps = .true.
-
-        case ('-c', '--volume')
-          run_mode = MODE_VOLUME
-
-        case ('-s', '--threads')
-          ! Read number of threads
-          i = i + 1
-
-#ifdef _OPENMP
-          ! Read and set number of OpenMP threads
-          n_threads = int(str_to_int(argv(i)), 4)
-          if (n_threads < 1) then
-            call fatal_error("Invalid number of threads specified on command &
-                 &line.")
-          end if
-          call omp_set_num_threads(n_threads)
-#else
-          if (master) call warning("Ignoring number of threads specified on &
-               &command line.")
-#endif
-
-        case ('-?', '-h', '-help', '--help')
-          call print_usage()
-          stop
-        case ('-v', '-version', '--version')
-          call print_version()
-          stop
-        case ('-t', '-track', '--track')
-          write_all_tracks = .true.
-        case default
-          call fatal_error("Unknown command line option: " // argv(i))
-        end select
-
-        last_flag = i
-      end if
-
-      ! Increment counter
-      i = i + 1
-    end do
-
-    ! Determine directory where XML input files are
-    if (argc > 0 .and. last_flag < argc) then
-      path_input = argv(last_flag + 1)
+    if (.not. is_null(openmc_path_input)) then
+      call c_f_pointer(openmc_path_input, string, [255])
+      path_input = to_f_string(string)
     else
       path_input = ''
     end if
-
-    ! Add slash at end of directory if it isn't there
-    if (.not. ends_with(path_input, "/") .and. len_trim(path_input) > 0) then
-      path_input = trim(path_input) // "/"
+    if (.not. is_null(openmc_path_statepoint)) then
+      call c_f_pointer(openmc_path_statepoint, string, [255])
+      path_state_point = to_f_string(string)
+    end if
+    if (.not. is_null(openmc_path_sourcepoint)) then
+      call c_f_pointer(openmc_path_sourcepoint, string, [255])
+      path_source_point = to_f_string(string)
+    end if
+    if (.not. is_null(openmc_path_particle_restart)) then
+      call c_f_pointer(openmc_path_particle_restart, string, [255])
+      path_particle_restart = to_f_string(string)
     end if
 
-    ! Free memory from argv
-    deallocate(argv)
-
-    ! TODO: Check that directory exists
-
+    ! Add slash at end of directory if it isn't there
+    if (len_trim(path_input) > 0 .and. .not. ends_with(path_input, "/")) then
+      path_input = trim(path_input) // "/"
+    end if
   end subroutine read_command_line
 
 end module initialize
diff --git a/src/initialize.cpp b/src/initialize.cpp
new file mode 100644
index 0000000000..728f43695b
--- /dev/null
+++ b/src/initialize.cpp
@@ -0,0 +1,229 @@
+#include "initialize.h"
+
+#include <cstddef>
+#include <cstring>
+#include <iostream>
+#include <sstream>
+#include <string>
+
+#include "error.h"
+#include "hdf5_interface.h"
+#include "message_passing.h"
+#include "openmc.h"
+#ifdef _OPENMP
+#include "omp.h"
+#endif
+
+// data/functions from Fortran side
+extern "C" bool openmc_check_overlaps;
+extern "C" bool openmc_write_all_tracks;
+extern "C" bool openmc_particle_restart_run;
+extern "C" bool openmc_restart_run;
+extern "C" void print_usage();
+extern "C" void print_version();
+
+
+// Paths to various files
+extern "C" {
+  char* openmc_path_input;
+  char* openmc_path_statepoint;
+  char* openmc_path_sourcepoint;
+  char* openmc_path_particle_restart;
+  bool is_null(void* ptr) {return !ptr;}
+}
+
+int openmc_init(int argc, char* argv[], const void* intracomm)
+{
+#ifdef OPENMC_MPI
+  // Check if intracomm was passed
+  MPI_Comm comm;
+  if (intracomm) {
+    comm = *static_cast<const MPI_Comm *>(intracomm);
+  } else {
+    comm = MPI_COMM_WORLD;
+  }
+
+  // Initialize MPI for C++
+  openmc::initialize_mpi(comm);
+#endif
+
+  // Parse command-line arguments
+  int err = openmc::parse_command_line(argc, argv);
+  if (err) return err;
+
+  // Continue with rest of initialization
+#ifdef OPENMC_MPI
+  MPI_Fint fcomm = MPI_Comm_c2f(comm);
+  openmc_init_f(&fcomm);
+#else
+  openmc_init_f(nullptr);
+#endif
+
+  return 0;
+}
+
+namespace openmc {
+
+#ifdef OPENMC_MPI
+void initialize_mpi(MPI_Comm intracomm)
+{
+  openmc::mpi::intracomm = intracomm;
+
+  // Initialize MPI
+  int flag;
+  MPI_Initialized(&flag);
+  if (!flag) MPI_Init(nullptr, nullptr);
+
+  // Determine number of processes and rank for each
+  MPI_Comm_size(intracomm, &openmc::mpi::n_procs);
+  MPI_Comm_rank(intracomm, &openmc::mpi::rank);
+
+  // Set variable for Fortran side
+  openmc_n_procs = openmc::mpi::n_procs;
+  openmc_rank = openmc::mpi::rank;
+  openmc_master = (openmc::mpi::rank == 0);
+
+  // Create bank datatype
+  Bank b;
+  MPI_Aint disp[] {
+    offsetof(Bank, wgt),
+    offsetof(Bank, xyz),
+    offsetof(Bank, uvw),
+    offsetof(Bank, E),
+    offsetof(Bank, delayed_group)
+  };
+  int blocks[] {1, 3, 3, 1, 1};
+  MPI_Datatype types[] {MPI_DOUBLE, MPI_DOUBLE, MPI_DOUBLE, MPI_DOUBLE, MPI_INT};
+  MPI_Type_create_struct(5, blocks, disp, types, &openmc::mpi::bank);
+  MPI_Type_commit(&openmc::mpi::bank);
+}
+#endif // OPENMC_MPI
+
+
+inline bool ends_with(std::string const& value, std::string const& ending)
+{
+  if (ending.size() > value.size()) return false;
+  return std::equal(ending.rbegin(), ending.rend(), value.rbegin());
+}
+
+
+int
+parse_command_line(int argc, char* argv[])
+{
+  char buffer[256];  // buffer for reading attribute
+  int last_flag = 0;
+  for (int i=1; i < argc; ++i) {
+    std::string arg {argv[i]};
+    if (arg[0] == '-') {
+      if (arg == "-p" || arg == "--plot") {
+        openmc_run_mode = RUN_MODE_PLOTTING;
+        openmc_check_overlaps = true;
+
+      } else if (arg == "-n" || arg == "--particles") {
+        i += 1;
+        n_particles = std::stoll(argv[i]);
+
+      } else if (arg == "-r" || arg == "--restart") {
+        i += 1;
+
+        // Check what type of file this is
+        hid_t file_id = file_open(argv[i], 'r', true);
+        size_t len = attribute_typesize(file_id, "filetype");
+        read_attr_string(file_id, "filetype", len, buffer);
+        file_close(file_id);
+        std::string filetype {buffer};
+
+        // Set path and flag for type of run
+        if (filetype == "statepoint") {
+          openmc_path_statepoint = argv[i];
+          openmc_restart_run = true;
+        } else if (filetype == "particle restart") {
+          openmc_path_particle_restart = argv[i];
+          openmc_particle_restart_run = true;
+        } else {
+          std::stringstream msg;
+          msg << "Unrecognized file after restart flag: " << filetype << ".";
+          strcpy(openmc_err_msg, msg.str().c_str());
+          return OPENMC_E_INVALID_ARGUMENT;
+        }
+
+        // If its a restart run check for additional source file
+        if (openmc_restart_run && i + 1 < argc) {
+          // Check if it has extension we can read
+          if (ends_with(argv[i+1], ".h5")) {
+
+            // Check file type is a source file
+            file_id = file_open(argv[i+1], 'r', true);
+            len = attribute_typesize(file_id, "filetype");
+            read_attr_string(file_id, "filetype", len, buffer);
+            file_close(file_id);
+            if (filetype != "source") {
+              std::string msg {"Second file after restart flag must be a source file"};
+              strcpy(openmc_err_msg, msg.c_str());
+              return OPENMC_E_INVALID_ARGUMENT;
+            }
+
+            // It is a source file
+            openmc_path_sourcepoint = argv[i+1];
+            i += 1;
+
+          } else {
+            // Source is in statepoint file
+            openmc_path_sourcepoint = openmc_path_statepoint;
+          }
+
+        } else {
+          // Source is assumed to be in statepoint file
+          openmc_path_sourcepoint = openmc_path_statepoint;
+        }
+
+      } else if (arg == "-g" || arg == "--geometry-debug") {
+        openmc_check_overlaps = true;
+      } else if (arg == "-c" || arg == "--volume") {
+        openmc_run_mode = RUN_MODE_VOLUME;
+      } else if (arg == "-s" || arg == "--threads") {
+        // Read number of threads
+        i += 1;
+
+#ifdef _OPENMP
+        // Read and set number of OpenMP threads
+        openmc_n_threads = std::stoi(argv[i]);
+        if (openmc_n_threads < 1) {
+          std::string msg {"Number of threads must be positive."};
+          strcpy(openmc_err_msg, msg.c_str());
+          return OPENMC_E_INVALID_ARGUMENT;
+        }
+        omp_set_num_threads(openmc_n_threads);
+#else
+        if (openmc_master)
+          warning("Ignoring number of threads specified on command line.");
+#endif
+
+      } else if (arg == "-?" || arg == "-h" || arg == "--help") {
+        print_usage();
+        return OPENMC_E_UNASSIGNED;
+
+      } else if (arg == "-v" || arg == "--version") {
+        print_version();
+        return OPENMC_E_UNASSIGNED;
+
+      } else if (arg == "-t" || arg == "--track") {
+        openmc_write_all_tracks = true;
+
+      } else {
+        std::cerr << "Unknown option: " << argv[i] << '\n';
+        print_usage();
+        return OPENMC_E_UNASSIGNED;
+      }
+
+      last_flag = i;
+    }
+  }
+
+  // Determine directory where XML input files are
+  if (argc > 1 && last_flag < argc) openmc_path_input = argv[last_flag + 1];
+
+  return 0;
+}
+
+} // namespace openmc
diff --git a/src/initialize.h b/src/initialize.h
new file mode 100644
index 0000000000..14283fb5fc
--- /dev/null
+++ b/src/initialize.h
@@ -0,0 +1,20 @@
+#ifndef INITIALIZE_H
+#define INITIALIZE_H
+
+#ifdef OPENMC_MPI
+#include "mpi.h"
+#endif
+
+extern "C" void print_usage();
+extern "C" void print_version();
+
+namespace openmc {
+
+int parse_command_line(int argc, char* argv[]);
+#ifdef OPENMC_MPI
+void initialize_mpi(MPI_Comm intracomm);
+#endif
+
+}
+
+#endif // INITIALIZE_H
diff --git a/src/input_xml.F90 b/src/input_xml.F90
index 63e5cd7a49..f8cf50dd3c 100644
--- a/src/input_xml.F90
+++ b/src/input_xml.F90
@@ -2194,26 +2194,20 @@ contains
     integer :: i             ! loop over user-specified tallies
     integer :: j             ! loop over words
     integer :: k             ! another loop index
-    integer :: l             ! another loop index
     integer :: filter_id     ! user-specified identifier for filter
     integer :: i_filt        ! index in filters array
     integer :: i_elem        ! index of entry in dictionary
     integer :: n             ! size of arrays in mesh specification
     integer :: n_words       ! number of words read
     integer :: n_filter      ! number of filters
-    integer :: n_new         ! number of new scores to add based on Yn/Pn tally
-    integer :: n_scores      ! number of tot scores after adjusting for Yn/Pn tally
-    integer :: n_bins        ! total new bins for this score
+    integer :: n_scores      ! number of scores
     integer :: n_user_trig   ! number of user-specified tally triggers
     integer :: trig_ind      ! index of triggers array for each tally
     integer :: user_trig_ind ! index of user-specified triggers for each tally
     integer :: i_start, i_end
     integer(C_INT) :: err
     real(8) :: threshold     ! trigger convergence threshold
-    integer :: n_order       ! moment order requested
-    integer :: n_order_pos   ! oosition of Scattering order in score name string
     integer :: MT            ! user-specified MT for score
-    integer :: imomstr       ! Index of MOMENT_STRS & MOMENT_N_STRS
     logical :: file_exists   ! does tallies.xml file exist?
     integer, allocatable :: temp_filter(:) ! temporary filter indices
     character(MAX_LINE_LEN) :: filename
@@ -2541,107 +2535,22 @@ contains
         allocate(sarray(n_words))
         call get_node_array(node_tal, "scores", sarray)
 
-        ! Before we can allocate storage for scores, we must determine the
-        ! number of additional scores required due to the moment scores
-        ! (i.e., scatter-p#, flux-y#)
-        n_new = 0
+        ! Append the score to the list of possible trigger scores
         do j = 1, n_words
           sarray(j) = to_lower(sarray(j))
-          ! Find if scores(j) is of the form 'moment-p' or 'moment-y' present in
-          ! MOMENT_STRS(:)
-          ! If so, check the order, store if OK, then reset the number to 'n'
           score_name = trim(sarray(j))
 
-          ! Append the score to the list of possible trigger scores
           if (trigger_on) call trigger_scores % set(trim(score_name), j)
 
-          do imomstr = 1, size(MOMENT_STRS)
-            if (starts_with(score_name,trim(MOMENT_STRS(imomstr)))) then
-              n_order_pos = scan(score_name,'0123456789')
-              n_order = int(str_to_int( &
-                   score_name(n_order_pos:(len_trim(score_name)))),4)
-              if (n_order > MAX_ANG_ORDER) then
-                ! User requested too many orders; throw a warning and set to the
-                ! 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 &
-                     &maximum permissible value, " &
-                     // trim(to_str(MAX_ANG_ORDER)))
-                n_order = MAX_ANG_ORDER
-                sarray(j) = trim(MOMENT_STRS(imomstr)) &
-                     // trim(to_str(MAX_ANG_ORDER))
-              end if
-              ! Find total number of bins for this case
-              if (imomstr >= YN_LOC) then
-                n_bins = (n_order + 1)**2
-              else
-                n_bins = n_order + 1
-              end if
-              ! We subtract one since n_words already included
-              n_new = n_new + n_bins - 1
-              exit
-            end if
-          end do
         end do
-        n_scores = n_words + n_new
+        n_scores = n_words
 
         ! Allocate score storage accordingly
         allocate(t % score_bins(n_scores))
-        allocate(t % moment_order(n_scores))
-        t % moment_order = 0
-        j = 0
-        do l = 1, n_words
-          j = j + 1
-          ! Get the input string in scores(l) but if score is one of the moment
-          ! scores then strip off the n and store it as an integer to be used
-          ! later. Then perform the select case on this modified (number
-          ! removed) string
-          n_order = -1
-          score_name = sarray(l)
-          do imomstr = 1, size(MOMENT_STRS)
-            if (starts_with(score_name,trim(MOMENT_STRS(imomstr)))) then
-              n_order_pos = scan(score_name,'0123456789')
-              n_order = int(str_to_int( &
-                   score_name(n_order_pos:(len_trim(score_name)))),4)
-              if (n_order > MAX_ANG_ORDER) then
-                ! User requested too many orders; throw a warning and set to the
-                ! maximum order.
-                ! The above scheme will essentially take the absolute value
-                n_order = MAX_ANG_ORDER
-              end if
-              score_name = trim(MOMENT_STRS(imomstr)) // "n"
-              ! Find total number of bins for this case
-              if (imomstr >= YN_LOC) then
-                n_bins = (n_order + 1)**2
-              else
-                n_bins = n_order + 1
-              end if
-              exit
-            end if
-          end do
-          ! Now check the Moment_N_Strs, but only if we werent successful above
-          if (imomstr > size(MOMENT_STRS)) then
-            do imomstr = 1, size(MOMENT_N_STRS)
-              if (starts_with(score_name,trim(MOMENT_N_STRS(imomstr)))) then
-                n_order_pos = scan(score_name,'0123456789')
-                n_order = int(str_to_int( &
-                     score_name(n_order_pos:(len_trim(score_name)))),4)
-                if (n_order > MAX_ANG_ORDER) then
-                  ! User requested too many orders; throw a warning and set to the
-                  ! 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 maximum permissible value, " &
-                       // trim(to_str(MAX_ANG_ORDER)))
-                  n_order = MAX_ANG_ORDER
-                end if
-                score_name = trim(MOMENT_N_STRS(imomstr)) // "n"
-                exit
-              end if
-            end do
-          end if
+
+        ! Check the validity of the scores and their filters
+        do j = 1, n_scores
+          score_name = sarray(j)
 
           ! Check if delayed group filter is used with any score besides
           ! delayed-nu-fission or decay-rate
@@ -2652,23 +2561,6 @@ contains
                  &delayedgroup filter.")
           end if
 
-          ! Check to see if the mu filter is applied and if that makes sense.
-          if ((.not. starts_with(score_name,'scatter')) .and. &
-               (.not. starts_with(score_name,'nu-scatter'))) then
-            if (t % find_filter(FILTER_MU) > 0) then
-              call fatal_error("Cannot tally " // trim(score_name) //" with a &
-                               &change of angle (mu) filter.")
-            end if
-          ! Also check to see if this is a legendre expansion or not.
-          ! If so, we can accept this score and filter combo for p0, but not
-          ! elsewhere.
-          else if (n_order > 0) then
-            if (t % find_filter(FILTER_MU) > 0) then
-              call fatal_error("Cannot tally " // trim(score_name) //" with a &
-                               &change of angle (mu) filter unless order is 0.")
-            end if
-          end if
-
           select case (trim(score_name))
           case ('flux')
             ! Prohibit user from tallying flux for an individual nuclide
@@ -2683,22 +2575,6 @@ contains
                    &filter.")
             end if
 
-          case ('flux-yn')
-            ! Prohibit user from tallying flux for an individual nuclide
-            if (.not. (t % n_nuclide_bins == 1 .and. &
-                 t % nuclide_bins(1) == -1)) then
-              call fatal_error("Cannot tally flux for an individual nuclide.")
-            end if
-
-            if (t % find_filter(FILTER_ENERGYOUT) > 0) then
-              call fatal_error("Cannot tally flux with an outgoing energy &
-                   &filter.")
-            end if
-
-            t % score_bins(j : j + n_bins - 1) = SCORE_FLUX_YN
-            t % moment_order(j : j + n_bins - 1) = n_order
-            j = j + n_bins  - 1
-
           case ('total', '(n,total)')
             t % score_bins(j) = SCORE_TOTAL
             if (t % find_filter(FILTER_ENERGYOUT) > 0) then
@@ -2706,18 +2582,13 @@ contains
                    &outgoing energy filter.")
             end if
 
-          case ('total-yn')
-            if (t % find_filter(FILTER_ENERGYOUT) > 0) then
-              call fatal_error("Cannot tally total reaction rate with an &
-                   &outgoing energy filter.")
-            end if
-
-            t % score_bins(j : j + n_bins - 1) = SCORE_TOTAL_YN
-            t % moment_order(j : j + n_bins - 1) = n_order
-            j = j + n_bins - 1
-
           case ('scatter')
             t % score_bins(j) = SCORE_SCATTER
+            if (t % find_filter(FILTER_ENERGYOUT) > 0 .or. &
+                 t % find_filter(FILTER_LEGENDRE) > 0) then
+              ! Set tally estimator to analog
+              t % estimator = ESTIMATOR_ANALOG
+            end if
 
           case ('nu-scatter')
             t % score_bins(j) = SCORE_NU_SCATTER
@@ -2727,53 +2598,14 @@ contains
             ! necessary)
             if (run_CE) then
               t % estimator = ESTIMATOR_ANALOG
+            else
+              if (t % find_filter(FILTER_ENERGYOUT) > 0 .or. &
+                   t % find_filter(FILTER_LEGENDRE) > 0) then
+                ! Set tally estimator to analog
+                t % estimator = ESTIMATOR_ANALOG
+              end if
             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')
-            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
-            ! Setup P0:Pn
-            t % score_bins(j : j + n_bins - 1) = SCORE_SCATTER_PN
-            t % moment_order(j : j + n_bins - 1) = n_order
-            j = j + n_bins - 1
-
-          case ('nu-scatter-pn')
-            t % estimator = ESTIMATOR_ANALOG
-            ! Setup P0:Pn
-            t % score_bins(j : j + n_bins - 1) = SCORE_NU_SCATTER_PN
-            t % moment_order(j : j + n_bins - 1) = n_order
-            j = j + n_bins - 1
-
-          case ('scatter-yn')
-            t % estimator = ESTIMATOR_ANALOG
-            ! Setup P0:Pn
-            t % score_bins(j : j + n_bins - 1) = SCORE_SCATTER_YN
-            t % moment_order(j : j + n_bins - 1) = n_order
-            j = j + n_bins - 1
-
-          case ('nu-scatter-yn')
-            t % estimator = ESTIMATOR_ANALOG
-            ! Setup P0:Pn
-            t % score_bins(j : j + n_bins - 1) = SCORE_NU_SCATTER_YN
-            t % moment_order(j : j + n_bins - 1) = n_order
-            j = j + n_bins - 1
-
-          case('transport')
-            call fatal_error("Transport score no longer supported for tallies, &
-                 &please remove")
-
-          case ('n1n')
-            call fatal_error("n1n score no longer supported for tallies, &
-                 &please remove")
           case ('n2n', '(n,2n)')
             t % score_bins(j) = N_2N
             t % depletion_rx = .true.
@@ -2937,6 +2769,14 @@ contains
             t % score_bins(j) = N_DA
 
           case default
+            ! First look for deprecated scores
+            if (starts_with(trim(score_name), 'scatter-') .or. &
+                 starts_with(trim(score_name), 'nu-scatter-') .or. &
+                 starts_with(trim(score_name), 'total-y') .or. &
+                 starts_with(trim(score_name), 'flux-y')) then
+              call fatal_error(trim(score_name) // " is no longer available.")
+            end if
+
             ! Assume that user has specified an MT number
             MT = int(str_to_int(score_name))
 
@@ -2945,14 +2785,12 @@ contains
               if (MT > 1) then
                 t % score_bins(j) = MT
               else
-                call fatal_error("Invalid MT on <scores>: " &
-                     // trim(sarray(l)))
+                call fatal_error("Invalid MT on <scores>: " // trim(score_name))
               end if
 
             else
               ! Specified score was not an integer
-              call fatal_error("Unknown scoring function: " &
-                   // trim(sarray(l)))
+              call fatal_error("Unknown scoring function: " // trim(score_name))
             end if
 
           end select
@@ -2967,35 +2805,19 @@ contains
         end do
 
         t % n_score_bins = n_scores
-        t % n_user_score_bins = n_words
 
         ! 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
+        do j = 1, n_scores - 1
+          do k = j + 1, n_scores
+            if (t % score_bins(j) == t % score_bins(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 " &
diff --git a/src/main.F90 b/src/main.F90
deleted file mode 100644
index 120bdd1e0c..0000000000
--- a/src/main.F90
+++ /dev/null
@@ -1,48 +0,0 @@
-program main
-
-  use constants
-  use message_passing
-  use openmc_api, only: openmc_init, openmc_finalize, openmc_run, &
-                        openmc_plot_geometry, openmc_calculate_volumes
-  use particle_restart, only: run_particle_restart
-  use settings, only: run_mode
-
-  implicit none
-
-#ifdef OPENMC_MPI
-  integer :: mpi_err ! MPI error code
-#endif
-
-  ! Initialize run -- when run with MPI, pass communicator
-#ifdef OPENMC_MPI
-#ifdef OPENMC_MPIF08
-  call openmc_init(MPI_COMM_WORLD % MPI_VAL)
-#else
-  call openmc_init(MPI_COMM_WORLD)
-#endif
-#else
-  call openmc_init()
-#endif
-
-  ! start problem based on mode
-  select case (run_mode)
-  case (MODE_FIXEDSOURCE, MODE_EIGENVALUE)
-    call openmc_run()
-  case (MODE_PLOTTING)
-    call openmc_plot_geometry()
-  case (MODE_PARTICLE)
-    if (master) call run_particle_restart()
-  case (MODE_VOLUME)
-    call openmc_calculate_volumes()
-  end select
-
-  ! finalize run
-  call openmc_finalize()
-
-#ifdef OPENMC_MPI
-  ! If MPI is in use and enabled, terminate it
-  call MPI_FINALIZE(mpi_err)
-#endif
-
-
-end program main
diff --git a/src/main.cpp b/src/main.cpp
new file mode 100644
index 0000000000..8d8f39e249
--- /dev/null
+++ b/src/main.cpp
@@ -0,0 +1,51 @@
+#include "error.h"
+#ifdef OPENMC_MPI
+#include "mpi.h"
+#endif
+#include "openmc.h"
+
+
+int main(int argc, char* argv[]) {
+  int err;
+
+  // Initialize run -- when run with MPI, pass communicator
+#ifdef OPENMC_MPI
+  MPI_Comm world {MPI_COMM_WORLD};
+  err = openmc_init(argc, argv, &world);
+#else
+  err = openmc_init(argc, argv, nullptr);
+#endif
+  if (err == -1) {
+    // This happens for the -h and -v flags
+    return 0;
+  } else if (err) {
+    openmc::fatal_error(openmc_err_msg);
+  }
+
+  // start problem based on mode
+  switch (openmc_run_mode) {
+    case RUN_MODE_FIXEDSOURCE:
+    case RUN_MODE_EIGENVALUE:
+      err = openmc_run();
+      break;
+    case RUN_MODE_PLOTTING:
+      err = openmc_plot_geometry();
+      break;
+    case RUN_MODE_PARTICLE:
+      if (openmc_master) err = openmc_particle_restart();
+      break;
+    case RUN_MODE_VOLUME:
+      err = openmc_calculate_volumes();
+      break;
+  }
+  if (err) openmc::fatal_error(openmc_err_msg);
+
+  // Finalize and free up memory
+  err = openmc_finalize();
+  if (err) openmc::fatal_error(openmc_err_msg);
+
+  // If MPI is in use and enabled, terminate it
+#ifdef OPENMC_MPI
+  MPI_Finalize();
+#endif
+}
diff --git a/src/math.F90 b/src/math.F90
index ee8cd0530b..c633131645 100644
--- a/src/math.F90
+++ b/src/math.F90
@@ -598,15 +598,8 @@ contains
     real(8) :: zn_mat(n+1, n+1)        ! Matrix form of the coefficients which is
                                        ! easier to work with
     real(8) :: k1, k2, k3, k4          ! Variables for R_m_n calculation
-    real(8) :: sqrt_norm               ! normalization for radial moments
     integer :: i,p,q                   ! Loop counters
 
-    real(8), parameter :: SQRT_N_1(0:10) = [&
-         sqrt(1.0_8), sqrt(2.0_8), sqrt(3.0_8), sqrt(4.0_8), &
-         sqrt(5.0_8), sqrt(6.0_8), sqrt(7.0_8), sqrt(8.0_8), &
-         sqrt(9.0_8), sqrt(10.0_8), sqrt(11.0_8)]
-    real(8), parameter :: SQRT_2N_2(0:10) = SQRT_N_1*sqrt(2.0_8)
-
     ! n == radial degree
     ! m == azimuthal frequency
 
@@ -670,11 +663,11 @@ contains
     do p = 0, n
       do q = -p, p, 2
         if (q < 0) then
-          zn(i) = zn_mat(p+1, abs(q)+1) * sin_phi_vec(abs(q)) * SQRT_2N_2(p)
+          zn(i) = zn_mat(p+1, abs(q)+1) * sin_phi_vec(abs(q))
         else if (q == 0) then
-          zn(i) = zn_mat(p+1, q+1) * SQRT_N_1(p)
+          zn(i) = zn_mat(p+1, q+1)
         else
-          zn(i) = zn_mat(p+1, q+1) * cos_phi_vec(abs(q)+1) * SQRT_2N_2(p)
+          zn(i) = zn_mat(p+1, q+1) * cos_phi_vec(abs(q)+1)
         end if
         i = i + 1
       end do
diff --git a/src/mesh_header.F90 b/src/mesh_header.F90
index 8a2d61fd92..fb22d2ad31 100644
--- a/src/mesh_header.F90
+++ b/src/mesh_header.F90
@@ -2,11 +2,9 @@ module mesh_header
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5
-
   use constants
   use dict_header, only: DictIntInt
-  use error, only: warning, fatal_error
+  use error
   use hdf5_interface
   use string, only: to_str, to_lower
   use xml_interface
@@ -15,6 +13,13 @@ module mesh_header
   private
   public :: free_memory_mesh
   public :: openmc_extend_meshes
+  public :: openmc_get_mesh_index
+  public :: openmc_mesh_get_id
+  public :: openmc_mesh_get_dimension
+  public :: openmc_mesh_get_params
+  public :: openmc_mesh_set_id
+  public :: openmc_mesh_set_dimension
+  public :: openmc_mesh_set_params
 
 !===============================================================================
 ! STRUCTUREDMESH represents a tessellation of n-dimensional Euclidean space by
@@ -23,13 +28,13 @@ module mesh_header
 
   type, public :: RegularMesh
     integer :: id = -1                     ! user-specified id
-    integer :: type                        ! rectangular, hexagonal
-    integer :: n_dimension                 ! rank of mesh
+    integer :: type = MESH_REGULAR         ! rectangular, hexagonal
+    integer(C_INT) :: n_dimension          ! rank of mesh
     real(8) :: volume_frac                 ! volume fraction of each cell
-    integer, allocatable :: dimension(:)   ! number of cells in each direction
-    real(8), allocatable :: lower_left(:)  ! lower-left corner of mesh
-    real(8), allocatable :: upper_right(:) ! upper-right corner of mesh
-    real(8), allocatable :: width(:)       ! width of each mesh cell
+    integer(C_INT), allocatable :: dimension(:)   ! number of cells in each direction
+    real(C_DOUBLE), allocatable :: lower_left(:)  ! lower-left corner of mesh
+    real(C_DOUBLE), allocatable :: upper_right(:) ! upper-right corner of mesh
+    real(C_DOUBLE), allocatable :: width(:)       ! width of each mesh cell
   contains
     procedure :: from_xml => regular_from_xml
     procedure :: get_bin => regular_get_bin
@@ -592,4 +597,180 @@ contains
     err = 0
   end function openmc_extend_meshes
 
+
+  function openmc_get_mesh_index(id, index) result(err) bind(C)
+    ! Return the index in the meshes array of a mesh with a given ID
+    integer(C_INT32_T), value :: id
+    integer(C_INT32_T), intent(out) :: index
+    integer(C_INT) :: err
+
+    if (allocated(meshes)) then
+      if (mesh_dict % has(id)) then
+        index = mesh_dict % get(id)
+        err = 0
+      else
+        err = E_INVALID_ID
+        call set_errmsg("No mesh exists with ID=" // trim(to_str(id)) // ".")
+      end if
+    else
+      err = E_ALLOCATE
+      call set_errmsg("Memory has not been allocated for meshes.")
+    end if
+  end function openmc_get_mesh_index
+
+
+  function openmc_mesh_get_id(index, id) result(err) bind(C)
+    ! Return the ID of a mesh
+    integer(C_INT32_T), value       :: index
+    integer(C_INT32_T), intent(out) :: id
+    integer(C_INT) :: err
+
+    if (index >= 1 .and. index <= size(meshes)) then
+      id = meshes(index) % id
+      err = 0
+    else
+      err = E_OUT_OF_BOUNDS
+      call set_errmsg("Index in meshes array is out of bounds.")
+    end if
+  end function openmc_mesh_get_id
+
+
+  function openmc_mesh_set_id(index, id) result(err) bind(C)
+    ! Set the ID of a mesh
+    integer(C_INT32_T), value, intent(in) :: index
+    integer(C_INT32_T), value, intent(in) :: id
+    integer(C_INT) :: err
+
+    if (index >= 1 .and. index <= n_meshes) then
+      meshes(index) % id = id
+      call mesh_dict % set(id, index)
+      err = 0
+    else
+      err = E_OUT_OF_BOUNDS
+      call set_errmsg("Index in meshes array is out of bounds.")
+    end if
+  end function openmc_mesh_set_id
+
+
+  function openmc_mesh_get_dimension(index, dims, n) result(err) bind(C)
+    ! Get the dimension of a mesh
+    integer(C_INT32_T), value, intent(in) :: index
+    type(C_PTR),               intent(out) :: dims
+    integer(C_INT),            intent(out) :: n
+    integer(C_INT) :: err
+
+    if (index >= 1 .and. index <= n_meshes) then
+      dims = C_LOC(meshes(index) % dimension)
+      n = meshes(index) % n_dimension
+      err = 0
+    else
+      err = E_OUT_OF_BOUNDS
+      call set_errmsg("Index in meshes array is out of bounds.")
+    end if
+  end function openmc_mesh_get_dimension
+
+
+  function openmc_mesh_set_dimension(index, n, dims) result(err) bind(C)
+    ! Set the dimension of a mesh
+    integer(C_INT32_T), value, intent(in) :: index
+    integer(C_INT),     value, intent(in) :: n
+    integer(C_INT),            intent(in) :: dims(n)
+    integer(C_INT) :: err
+
+    if (index >= 1 .and. index <= n_meshes) then
+      associate (m => meshes(index))
+        if (allocated(m % dimension)) deallocate (m % dimension)
+        if (allocated(m % lower_left)) deallocate (m % lower_left)
+        if (allocated(m % upper_right)) deallocate (m % upper_right)
+        if (allocated(m % width)) deallocate (m % width)
+
+        m % n_dimension = n
+        allocate(m % dimension(n))
+        allocate(m % lower_left(n))
+        allocate(m % upper_right(n))
+        allocate(m % width(n))
+
+        ! Copy dimension
+        m % dimension(:) = dims
+      end associate
+      err = 0
+    else
+      err = E_OUT_OF_BOUNDS
+      call set_errmsg("Index in meshes array is out of bounds.")
+    end if
+  end function openmc_mesh_set_dimension
+
+
+  function openmc_mesh_get_params(index, ll, ur, width, n) result(err) bind(C)
+    ! Get the mesh parameters
+    integer(C_INT32_T), value, intent(in) :: index
+    type(C_PTR), intent(out) :: ll
+    type(C_PTR), intent(out) :: ur
+    type(C_PTR), intent(out) :: width
+    integer(C_INT), intent(out) :: n
+    integer(C_INT) :: err
+
+    err = 0
+    if (index >= 1 .and. index <= n_meshes) then
+      associate (m => meshes(index))
+        if (allocated(m % lower_left)) then
+          ll = C_LOC(m % lower_left(1))
+          ur = C_LOC(m % upper_right(1))
+          width = C_LOC(m % width(1))
+          n = m % n_dimension
+        else
+          err = E_ALLOCATE
+          call set_errmsg("Mesh parameters have not been set.")
+        end if
+      end associate
+    else
+      err = E_OUT_OF_BOUNDS
+      call set_errmsg("Index in meshes array is out of bounds.")
+    end if
+  end function openmc_mesh_get_params
+
+
+  function openmc_mesh_set_params(index, n, ll, ur, width) result(err) bind(C)
+    ! Set the mesh parameters
+    integer(C_INT32_T), value, intent(in) :: index
+    integer(C_INT),     value, intent(in) :: n
+    real(C_DOUBLE), intent(in), optional :: ll(n)
+    real(C_DOUBLE), intent(in), optional :: ur(n)
+    real(C_DOUBLE), intent(in), optional :: width(n)
+    integer(C_INT) :: err
+
+    err = 0
+    if (index >= 1 .and. index <= n_meshes) then
+      associate (m => meshes(index))
+        if (allocated(m % lower_left)) deallocate (m % lower_left)
+        if (allocated(m % upper_right)) deallocate (m % upper_right)
+        if (allocated(m % width)) deallocate (m % width)
+
+        allocate(m % lower_left(n))
+        allocate(m % upper_right(n))
+        allocate(m % width(n))
+
+        if (present(ll) .and. present(ur)) then
+          m % lower_left(:) = ll
+          m % upper_right(:) = ur
+          m % width(:) = (ur - ll) / m % dimension
+        elseif (present(ll) .and. present(width)) then
+          m % lower_left(:) = ll
+          m % width(:) = width
+          m % upper_right(:) = ll + width * m % dimension
+        elseif (present(ur) .and. present(width)) then
+          m % upper_right(:) = ur
+          m % width(:) = width
+          m % lower_left(:) = ur - width * m % dimension
+        else
+          err = E_INVALID_ARGUMENT
+          call set_errmsg("At least two parameters must be specified.")
+        end if
+      end associate
+    else
+      err = E_OUT_OF_BOUNDS
+      call set_errmsg("Index in meshes array is out of bounds.")
+    end if
+  end function openmc_mesh_set_params
+
 end module mesh_header
diff --git a/src/message_passing.F90 b/src/message_passing.F90
index 7391a632c7..6ade0895a9 100644
--- a/src/message_passing.F90
+++ b/src/message_passing.F90
@@ -1,5 +1,7 @@
 module message_passing
 
+  use, intrinsic :: ISO_C_BINDING
+
 #ifdef OPENMC_MPI
 #ifdef OPENMC_MPIF08
   use mpi_f08
@@ -12,9 +14,9 @@ module message_passing
   ! mpi_enabled flag are for when MPI is not being used at all, i.e. a serial
   ! run. In this case, these variables are still used at times.
 
-  integer :: n_procs     = 1       ! number of processes
-  integer :: rank        = 0       ! rank of process
-  logical :: master      = .true.  ! master process?
+  integer(C_INT), bind(C, name='openmc_n_procs') :: n_procs = 1  ! number of processes
+  integer(C_INT), bind(C, name='openmc_rank')    :: rank    = 0  ! rank of process
+  logical(C_BOOL), bind(C, name='openmc_master') :: master  = .true. ! master process?
   logical :: mpi_enabled = .false. ! is MPI in use and initialized?
 #ifdef OPENMC_MPIF08
   type(MPI_Datatype) :: MPI_BANK   ! MPI datatype for fission bank
diff --git a/src/message_passing.cpp b/src/message_passing.cpp
new file mode 100644
index 0000000000..2ff3952d73
--- /dev/null
+++ b/src/message_passing.cpp
@@ -0,0 +1,15 @@
+#include "message_passing.h"
+
+namespace openmc {
+namespace mpi {
+
+int rank {0};
+int n_procs {1};
+
+#ifdef OPENMC_MPI
+MPI_Comm intracomm;
+MPI_Datatype bank;
+#endif
+
+} // namespace mpi
+} // namespace openmc
diff --git a/src/message_passing.h b/src/message_passing.h
new file mode 100644
index 0000000000..14cf3a7cb0
--- /dev/null
+++ b/src/message_passing.h
@@ -0,0 +1,22 @@
+#ifndef MESSAGE_PASSING_H
+#define MESSAGE_PASSING_H
+
+#ifdef OPENMC_MPI
+#include "mpi.h"
+#endif
+
+namespace openmc {
+namespace mpi {
+
+  extern int rank;
+  extern int n_procs;
+
+#ifdef OPENMC_MPI
+  extern MPI_Datatype bank;
+  extern MPI_Comm intracomm;
+#endif
+
+} // namespace mpi
+} // namespace openmc
+
+#endif // MESSAGE_PASSING_H
diff --git a/src/mgxs_data.F90 b/src/mgxs_data.F90
index 1b14e6e9f0..e0631d16c5 100644
--- a/src/mgxs_data.F90
+++ b/src/mgxs_data.F90
@@ -132,6 +132,8 @@ contains
           ! Add name to dictionary
           call already_read % add(name)
 
+          call close_group(xsdata_group)
+
         end if
       end do NUCLIDE_LOOP
     end do MATERIAL_LOOP
@@ -159,6 +161,8 @@ contains
       end do NUCLIDE_LOOP2
     end do MATERIAL_LOOP3
 
+    call file_close(file_id)
+
   end subroutine read_mgxs
 
 !===============================================================================
diff --git a/src/mgxs_header.F90 b/src/mgxs_header.F90
index 6eabefae3c..5abeccbcfa 100644
--- a/src/mgxs_header.F90
+++ b/src/mgxs_header.F90
@@ -3,10 +3,8 @@ module mgxs_header
   use, intrinsic :: ISO_FORTRAN_ENV
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5, only: HID_T, HSIZE_T, SIZE_T
-
   use algorithm,       only: find, sort
-  use constants,       only: MAX_WORD_LEN, ZERO, ONE, TWO, PI
+  use constants,       only: MAX_WORD_LEN, ZERO, ONE, TWO, PI, MACROSCOPIC_AWR
   use error,           only: fatal_error
   use hdf5_interface
   use material_header, only: material
@@ -248,7 +246,6 @@ contains
       type(VectorInt), intent(out)   :: temps_to_read ! Temperatures to read
       integer, intent(out)           :: order_dim     ! Scattering data order size
 
-      integer(SIZE_T) :: name_len
       integer(HID_T) :: kT_group
       character(MAX_WORD_LEN), allocatable :: dset_names(:)
       real(8), allocatable :: temps_available(:) ! temperatures available
@@ -259,8 +256,7 @@ contains
       integer :: ipol, iazi
 
       ! Get name of dataset from group
-      name_len = len(this % name)
-      this % name = get_name(xs_id, name_len)
+      this % name = get_name(xs_id)
 
       ! Get rid of leading '/'
       this % name = trim(this % name(2:))
@@ -268,7 +264,7 @@ contains
       if (attribute_exists(xs_id, "atomic_weight_ratio")) then
         call read_attribute(this % awr, xs_id, "atomic_weight_ratio")
       else
-        this % awr = -ONE
+        this % awr = MACROSCOPIC_AWR
       end if
 
       ! Determine temperatures available
@@ -396,9 +392,9 @@ contains
 
       ! 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.
+      ! However Pn has n+1 sets of points (since you need to count the P0
+      ! moment). Adjust for that. Histogram and Tabular formats dont need this
+      ! adjustment.
       if (this % scatter_format == ANGLE_LEGENDRE) then
         order_dim = order_dim + 1
       else
@@ -551,6 +547,8 @@ contains
               else
                 call fatal_error("beta must be provided as a 1D or 2D array")
               end if
+
+              call close_dataset(xsdata)
             else
               temp_beta = ZERO
             end if
@@ -681,6 +679,8 @@ contains
                 call fatal_error("nu-fission must be provided as a 1D or 2D &
                      &array")
               end if
+
+              call close_dataset(xsdata)
             end if
 
             ! If chi-prompt provided, set chi-prompt
@@ -784,6 +784,8 @@ contains
                 call fatal_error("chi-delayed must be provided as a 1D or 2D &
                      &array")
               end if
+
+              call close_dataset(xsdata)
             end if
 
             ! If prompt-nu-fission present, set prompt-nu-fission
@@ -840,6 +842,8 @@ contains
                 call fatal_error("prompt-nu-fission must be provided as a 1D &
                      &or 2D array")
               end if
+
+              call close_dataset(xsdata)
             end if
 
             ! If delayed-nu-fission provided, set delayed-nu-fission. If
@@ -965,6 +969,8 @@ contains
                 call fatal_error("delayed-nu-fission must be provided as a &
                      &1D, 2D, or 3D array")
               end if
+
+              call close_dataset(xsdata)
             end if
 
             ! Deallocate temporary beta array
@@ -1348,6 +1354,8 @@ contains
               else
                 call fatal_error("beta must be provided as a 3D or 4D array")
               end if
+
+              call close_dataset(xsdata)
             else
               temp_beta = ZERO
             end if
@@ -1519,6 +1527,8 @@ contains
                 call fatal_error("nu-fission must be provided as a 3D or &
                      &4D array")
               end if
+
+              call close_dataset(xsdata)
             end if
 
             ! If chi-prompt provided, set chi-prompt
@@ -1653,6 +1663,8 @@ contains
                 call fatal_error("chi-delayed must be provided as a 3D or 4D &
                      &array")
               end if
+
+              call close_dataset(xsdata)
             end if
 
             ! If prompt-nu-fission present, set prompt-nu-fission
@@ -1722,6 +1734,8 @@ contains
                 call fatal_error("prompt-nu-fission must be provided as a 3D &
                      &or 4D array")
               end if
+
+              call close_dataset(xsdata)
             end if
 
             ! If delayed-nu-fission provided, set delayed-nu-fission. If
@@ -1870,6 +1884,8 @@ contains
                 call fatal_error("delayed-nu-fission must be provided as a &
                      &3D, 4D, or 5D array")
               end if
+
+              call close_dataset(xsdata)
             end if
 
             ! Deallocate temporary beta array
diff --git a/src/multipole_header.F90 b/src/multipole_header.F90
index 7fb438bce1..f2d0c91062 100644
--- a/src/multipole_header.F90
+++ b/src/multipole_header.F90
@@ -1,7 +1,5 @@
 module multipole_header
 
-  use hdf5
-
   use constants
   use dict_header,      only: DictIntInt
   use error,            only: fatal_error
diff --git a/src/nuclide_header.F90 b/src/nuclide_header.F90
index 8362f5d41e..ebabe5cdbc 100644
--- a/src/nuclide_header.F90
+++ b/src/nuclide_header.F90
@@ -3,8 +3,6 @@ module nuclide_header
   use, intrinsic :: ISO_FORTRAN_ENV
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5,                   only: HID_T, HSIZE_T, SIZE_T
-
   use algorithm,              only: sort, find, binary_search
   use constants
   use dict_header,            only: DictIntInt, DictCharInt
@@ -277,7 +275,7 @@ contains
     integer,          intent(inout) :: method
     real(8),          intent(in)    :: tolerance
     real(8),          intent(in)    :: minmax(2)  ! range of temperatures
-    logical,          intent(in)    :: master     ! if this is the master proc
+    logical(C_BOOL),  intent(in)    :: master     ! if this is the master proc
     integer,          intent(in)    :: i_nuclide  ! Nuclide index in nuclides
 
     integer :: i
@@ -292,7 +290,6 @@ contains
     integer(HID_T) :: total_nu
     integer(HID_T) :: fer_group                 ! fission_energy_release group
     integer(HID_T) :: fer_dset
-    integer(SIZE_T) :: name_len
     integer(HSIZE_T) :: j
     integer(HSIZE_T) :: dims(1)
     character(MAX_WORD_LEN) :: temp_str
@@ -306,8 +303,7 @@ contains
     type(VectorInt) :: index_inelastic_scatter
 
     ! Get name of nuclide from group
-    name_len = len(this % name)
-    this % name = get_name(group_id, name_len)
+    this % name = get_name(group_id)
 
     ! Get rid of leading '/'
     this % name = trim(this % name(2:))
diff --git a/src/output.F90 b/src/output.F90
index b6809ca82f..23d9512eee 100644
--- a/src/output.F90
+++ b/src/output.F90
@@ -162,7 +162,7 @@ contains
 ! information
 !===============================================================================
 
-  subroutine print_version()
+  subroutine print_version() bind(C)
 
     if (master) then
       write(UNIT=OUTPUT_UNIT, FMT='(1X,A,1X,I1,".",I2,".",I1)') &
@@ -182,7 +182,7 @@ contains
 ! PRINT_USAGE displays information about command line usage of OpenMC
 !===============================================================================
 
-  subroutine print_usage()
+  subroutine print_usage() bind(C)
 
     if (master) then
       write(OUTPUT_UNIT,*) 'Usage: openmc [options] [directory]'
@@ -665,14 +665,11 @@ contains
     integer :: j            ! level in tally hierarchy
     integer :: k            ! loop index for scoring bins
     integer :: n            ! loop index for nuclides
-    integer :: l            ! loop index for user scores
     integer :: h            ! loop index for tally filters
     integer :: indent       ! number of spaces to preceed output
     integer :: filter_index ! index in results array for filters
     integer :: score_index  ! scoring bin index
     integer :: i_nuclide    ! index in nuclides array
-    integer :: n_order      ! loop index for moment orders
-    integer :: nm_order     ! loop index for Ynm moment orders
     integer :: unit_tally   ! tallies.out file unit
     integer :: nr           ! number of realizations
     real(8) :: t_value      ! t-values for confidence intervals
@@ -699,14 +696,6 @@ contains
     score_names(abs(SCORE_NU_FISSION))         = "Nu-Fission Rate"
     score_names(abs(SCORE_KAPPA_FISSION))      = "Kappa-Fission Rate"
     score_names(abs(SCORE_EVENTS))             = "Events"
-    score_names(abs(SCORE_FLUX_YN))            = "Flux Moment"
-    score_names(abs(SCORE_TOTAL_YN))           = "Total Reaction Rate Moment"
-    score_names(abs(SCORE_SCATTER_N))          = "Scattering Rate Moment"
-    score_names(abs(SCORE_SCATTER_PN))         = "Scattering Rate Moment"
-    score_names(abs(SCORE_SCATTER_YN))         = "Scattering Rate Moment"
-    score_names(abs(SCORE_NU_SCATTER_N))       = "Scattering Prod. Rate Moment"
-    score_names(abs(SCORE_NU_SCATTER_PN))      = "Scattering Prod. Rate Moment"
-    score_names(abs(SCORE_NU_SCATTER_YN))      = "Scattering Prod. Rate Moment"
     score_names(abs(SCORE_DECAY_RATE))         = "Decay Rate"
     score_names(abs(SCORE_DELAYED_NU_FISSION)) = "Delayed-Nu-Fission Rate"
     score_names(abs(SCORE_PROMPT_NU_FISSION))  = "Prompt-Nu-Fission Rate"
@@ -860,60 +849,20 @@ contains
           end if
 
           indent = indent + 2
-          k = 0
-          do l = 1, t % n_user_score_bins
-            k = k + 1
+          do k = 1, t % n_score_bins
             score_index = score_index + 1
 
             associate(r => t % results(RESULT_SUM:RESULT_SUM_SQ, :, :))
 
-            select case(t % score_bins(k))
-            case (SCORE_SCATTER_N, SCORE_NU_SCATTER_N)
-              score_name = 'P' // trim(to_str(t % moment_order(k))) // " " // &
-                   score_names(abs(t % score_bins(k)))
-              x(:) = mean_stdev(r(:, score_index, filter_index), nr)
-              write(UNIT=unit_tally, FMT='(1X,2A,1X,A,"+/- ",A)') &
-                   repeat(" ", indent), score_name, to_str(x(1)), &
-                   trim(to_str(t_value * x(2)))
-            case (SCORE_SCATTER_PN, SCORE_NU_SCATTER_PN)
-              score_index = score_index - 1
-              do n_order = 0, t % moment_order(k)
-                score_index = score_index + 1
-                score_name = 'P' // trim(to_str(n_order)) //  " " //&
-                     score_names(abs(t % score_bins(k)))
-                x(:) = mean_stdev(r(:, score_index, filter_index), nr)
-                write(UNIT=unit_tally, FMT='(1X,2A,1X,A,"+/- ",A)') &
-                     repeat(" ", indent), score_name, &
-                     to_str(x(1)), trim(to_str(t_value * x(2)))
-              end do
-              k = k + t % moment_order(k)
-            case (SCORE_SCATTER_YN, SCORE_NU_SCATTER_YN, SCORE_FLUX_YN, &
-                  SCORE_TOTAL_YN)
-              score_index = score_index - 1
-              do n_order = 0, t % moment_order(k)
-                do nm_order = -n_order, n_order
-                  score_index = score_index + 1
-                  score_name = 'Y' // trim(to_str(n_order)) // ',' // &
-                       trim(to_str(nm_order)) // " " &
-                       // score_names(abs(t % score_bins(k)))
-                  x(:) = mean_stdev(r(:, score_index, filter_index), nr)
-                  write(UNIT=unit_tally, FMT='(1X,2A,1X,A,"+/- ",A)') &
-                       repeat(" ", indent), score_name, &
-                       to_str(x(1)), trim(to_str(t_value * x(2)))
-                end do
-              end do
-              k = k + (t % moment_order(k) + 1)**2 - 1
-            case default
-              if (t % score_bins(k) > 0) then
-                score_name = reaction_name(t % score_bins(k))
-              else
-                score_name = score_names(abs(t % score_bins(k)))
-              end if
-              x(:) = mean_stdev(r(:, score_index, filter_index), nr)
-              write(UNIT=unit_tally, FMT='(1X,2A,1X,A,"+/- ",A)') &
-                   repeat(" ", indent), score_name, &
-                   to_str(x(1)), trim(to_str(t_value * x(2)))
-            end select
+            if (t % score_bins(k) > 0) then
+              score_name = reaction_name(t % score_bins(k))
+            else
+              score_name = score_names(abs(t % score_bins(k)))
+            end if
+            x(:) = mean_stdev(r(:, score_index, filter_index), nr)
+            write(UNIT=unit_tally, FMT='(1X,2A,1X,A,"+/- ",A)') &
+                 repeat(" ", indent), score_name, &
+                 to_str(x(1)), trim(to_str(t_value * x(2)))
             end associate
           end do
           indent = indent - 2
diff --git a/src/particle_header.F90 b/src/particle_header.F90
index 552f9b042d..cdb97dec8d 100644
--- a/src/particle_header.F90
+++ b/src/particle_header.F90
@@ -1,7 +1,5 @@
 module particle_header
 
-  use hdf5, only: HID_T
-
   use bank_header,     only: Bank, source_bank
   use constants
   use error,           only: fatal_error, warning
@@ -312,7 +310,7 @@ contains
 
 !$omp critical (WriteParticleRestart)
     ! Create file
-    file_id = file_create(filename)
+    file_id = file_open(filename, 'w')
 
     associate (src => source_bank(current_work))
       ! Write filetype and version info
diff --git a/src/particle_restart.F90 b/src/particle_restart.F90
index 2d15f2ddc4..c3d25151b6 100644
--- a/src/particle_restart.F90
+++ b/src/particle_restart.F90
@@ -5,7 +5,7 @@ module particle_restart
   use bank_header,      only: Bank
   use constants
   use error,            only: write_message
-  use hdf5_interface,   only: file_open, file_close, read_dataset
+  use hdf5_interface,   only: file_open, file_close, read_dataset, HID_T
   use mgxs_header,      only: energy_bin_avg
   use nuclide_header,   only: micro_xs, n_nuclides
   use output,           only: print_particle
@@ -16,24 +16,25 @@ module particle_restart
   use tally_header,     only: n_tallies
   use tracking,         only: transport
 
-  use hdf5, only: HID_T
-
   implicit none
   private
-  public ::  run_particle_restart
+  public ::  openmc_particle_restart
 
 contains
 
 !===============================================================================
-! RUN_PARTICLE_RESTART is the main routine that runs the particle restart
+! OPENMC_PARTICLE_RESTART is the main routine that runs the particle restart
 !===============================================================================
 
-  subroutine run_particle_restart()
+  function openmc_particle_restart() result(err) bind(C)
+    integer(C_INT) :: err
 
     integer(8) :: particle_seed
     integer :: previous_run_mode
     type(Particle) :: p
 
+    err = 0
+
     ! Set verbosity high
     verbosity = 10
 
@@ -66,7 +67,7 @@ contains
 
     deallocate(micro_xs)
 
-  end subroutine run_particle_restart
+  end function openmc_particle_restart
 
 !===============================================================================
 ! READ_PARTICLE_RESTART reads the particle restart file
diff --git a/src/plot.F90 b/src/plot.F90
index 5eb894ce8d..f17ac33511 100644
--- a/src/plot.F90
+++ b/src/plot.F90
@@ -2,8 +2,6 @@ module plot
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5
-
   use constants
   use error,           only: fatal_error, write_message
   use geometry,        only: find_cell, check_cell_overlap
@@ -32,7 +30,8 @@ contains
 ! RUN_PLOT controls the logic for making one or many plots
 !===============================================================================
 
-  subroutine openmc_plot_geometry() bind(C)
+  function openmc_plot_geometry() result(err) bind(C)
+    integer(C_INT) :: err
 
     integer :: i ! loop index for plots
 
@@ -52,7 +51,8 @@ contains
       end associate
     end do
 
-  end subroutine openmc_plot_geometry
+    err = 0
+  end function openmc_plot_geometry
 
 !===============================================================================
 ! POSITION_RGB computes the red/green/blue values for a given plot with the
@@ -340,23 +340,46 @@ contains
   subroutine create_voxel(pl)
     type(ObjectPlot), intent(in) :: pl
 
-    integer :: x, y, z      ! voxel location indices
+    integer(C_INT) :: x, y, z      ! voxel location indices
     integer :: rgb(3)       ! colors (red, green, blue) from 0-255
     integer :: id           ! id of cell or material
-    integer :: hdf5_err
-    integer, target :: data(pl%pixels(3),pl%pixels(2))
+    integer(C_INT), target :: data(pl%pixels(3),pl%pixels(2))
     integer(HID_T) :: file_id
     integer(HID_T) :: dspace
     integer(HID_T) :: memspace
     integer(HID_T) :: dset
     integer(HSIZE_T) :: dims(3)
-    integer(HSIZE_T) :: dims_slab(3)
-    integer(HSIZE_T) :: offset(3)
     real(8) :: vox(3)       ! x, y, and z voxel widths
     real(8) :: ll(3)        ! lower left starting point for each sweep direction
     type(Particle)    :: p
     type(ProgressBar) :: progress
-    type(c_ptr)       :: f_ptr
+
+    interface
+      subroutine voxel_init(file_id, dims, dspace, dset, memspace) bind(C)
+        import HID_T, HSIZE_T
+        integer(HID_T), value :: file_id
+        integer(HSIZE_T), intent(in) :: dims(*)
+        integer(HID_T), intent(out) :: dspace
+        integer(HID_T), intent(out) :: dset
+        integer(HID_T), intent(out) :: memspace
+      end subroutine voxel_init
+
+      subroutine voxel_write_slice(x, dspace, dset, memspace, buf) bind(C)
+        import C_INT, HID_T, C_PTR
+        integer(C_INT), value :: x
+        integer(HID_T), value :: dspace
+        integer(HID_T), value :: dset
+        integer(HID_T), value :: memspace
+        type(C_PTR), value :: buf
+      end subroutine voxel_write_slice
+
+      subroutine voxel_finalize(dspace, dset, memspace) bind(C)
+        import HID_T
+        integer(HID_T), value :: dspace
+        integer(HID_T), value :: dset
+        integer(HID_T), value :: memspace
+      end subroutine voxel_finalize
+    end interface
 
     ! compute voxel widths in each direction
     vox = pl % width/dble(pl % pixels)
@@ -371,7 +394,7 @@ contains
     p % coord(1) % universe = root_universe
 
     ! Open binary plot file for writing
-    file_id = file_create(pl%path_plot)
+    file_id = file_open(pl%path_plot, 'w')
 
     ! write header info
     call write_attribute(file_id, "filetype", 'voxel')
@@ -390,20 +413,8 @@ contains
 
     ! Create dataset for voxel data -- note that the dimensions are reversed
     ! since we want the order in the file to be z, y, x
-    dims(:) = [pl%pixels(3), pl%pixels(2), pl%pixels(1)]
-    call h5screate_simple_f(3, dims, dspace, hdf5_err)
-    call h5dcreate_f(file_id, "data", H5T_NATIVE_INTEGER, dspace, dset, hdf5_err)
-
-    ! Create another dataspace for 2D array in memory
-    dims_slab(1) = pl%pixels(3)
-    dims_slab(2) = pl%pixels(2)
-    dims_slab(3) = 1
-    call h5screate_simple_f(2, dims_slab(1:2), memspace, hdf5_err)
-
-    ! Initialize offset and get pointer to data
-    offset(:) = 0
-    call h5sselect_hyperslab_f(dspace, H5S_SELECT_SET_F, offset, dims_slab, hdf5_err)
-    f_ptr = c_loc(data)
+    dims(:) = pl % pixels
+    call voxel_init(file_id, dims, dspace, dset, memspace)
 
     ! move to center of voxels
     ll = ll + vox / TWO
@@ -433,15 +444,10 @@ contains
       p % coord(1) % xyz(3) = ll(3)
 
       ! Write to HDF5 dataset
-      offset(3) = x - 1
-      call h5soffset_simple_f(dspace, offset, hdf5_err)
-      call h5dwrite_f(dset, H5T_NATIVE_INTEGER, f_ptr, hdf5_err, &
-           mem_space_id=memspace, file_space_id=dspace)
+      call voxel_write_slice(x, dspace, dset, memspace, c_loc(data))
     end do
 
-    call h5dclose_f(dset, hdf5_err)
-    call h5sclose_f(dspace, hdf5_err)
-    call h5sclose_f(memspace, hdf5_err)
+    call voxel_finalize(dspace, dset, memspace)
     call file_close(file_id)
 
   end subroutine create_voxel
diff --git a/src/plot.cpp b/src/plot.cpp
new file mode 100644
index 0000000000..0dca6d08cd
--- /dev/null
+++ b/src/plot.cpp
@@ -0,0 +1,42 @@
+#include "plot.h"
+
+namespace openmc {
+
+void
+voxel_init(hid_t file_id, const hsize_t* dims, hid_t* dspace, hid_t* dset,
+           hid_t* memspace)
+{
+  // Create dataspace/dataset for voxel data
+  *dspace = H5Screate_simple(3, dims, nullptr);
+  *dset = H5Dcreate(file_id, "data", H5T_NATIVE_INT, *dspace, H5P_DEFAULT,
+                    H5P_DEFAULT, H5P_DEFAULT);
+
+  // Create dataspace for a slice of the voxel
+  hsize_t dims_slice[2] {dims[1], dims[2]};
+  *memspace = H5Screate_simple(2, dims_slice, nullptr);
+
+  // Select hyperslab in dataspace
+  hsize_t start[3] {0, 0, 0};
+  hsize_t count[3] {1, dims[1], dims[2]};
+  H5Sselect_hyperslab(*dspace, H5S_SELECT_SET, start, nullptr, count, nullptr);
+}
+
+
+void
+voxel_write_slice(int x, hid_t dspace, hid_t dset, hid_t memspace, void* buf)
+{
+  hssize_t offset[3] {x - 1, 0, 0};
+  H5Soffset_simple(dspace, offset);
+  H5Dwrite(dset, H5T_NATIVE_INT, memspace, dspace, H5P_DEFAULT, buf);
+}
+
+
+void
+voxel_finalize(hid_t dspace, hid_t dset, hid_t memspace)
+{
+  H5Dclose(dset);
+  H5Sclose(dspace);
+  H5Sclose(memspace);
+}
+
+} // namespace openmc
diff --git a/src/plot.h b/src/plot.h
new file mode 100644
index 0000000000..75406b9ace
--- /dev/null
+++ b/src/plot.h
@@ -0,0 +1,15 @@
+#ifndef PLOT_H
+#define PLOT_H
+
+#include "hdf5.h"
+
+namespace openmc {
+
+extern "C" void voxel_init(hid_t file_id, const hsize_t* dims, hid_t* dspace,
+                           hid_t* dset, hid_t* memspace);
+extern "C" void voxel_write_slice(int x, hid_t dspace, hid_t dset,
+                                  hid_t memspace, void* buf);
+extern "C" void voxel_finalize(hid_t dspace, hid_t dset, hid_t memspace);
+
+} // namespace openmc
+#endif // PLOT_H
diff --git a/src/product_header.F90 b/src/product_header.F90
index a69929473d..a5e23f4b6c 100644
--- a/src/product_header.F90
+++ b/src/product_header.F90
@@ -1,13 +1,11 @@
 module product_header
 
-  use hdf5, only: HID_T
-
   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, Polynomial
   use hdf5_interface, only: read_attribute, open_group, close_group, &
-       open_dataset, close_dataset, read_dataset
+       open_dataset, close_dataset, read_dataset, HID_T
   use random_lcg, only: prn
   use secondary_correlated, only: CorrelatedAngleEnergy
   use secondary_kalbach, only: KalbachMann
diff --git a/src/reaction_header.F90 b/src/reaction_header.F90
index 12b3888c4b..48973336bf 100644
--- a/src/reaction_header.F90
+++ b/src/reaction_header.F90
@@ -1,11 +1,7 @@
 module reaction_header
 
-  use hdf5, only: HID_T, HSIZE_T, SIZE_T, h5gget_info_f, h5lget_name_by_idx_f, &
-                  H5_INDEX_NAME_F, H5_ITER_INC_F
-
   use constants,      only: MAX_WORD_LEN
-  use hdf5_interface, only: read_attribute, open_group, close_group, &
-       open_dataset, read_dataset, close_dataset, get_shape, get_groups
+  use hdf5_interface
   use product_header, only: ReactionProduct
   use stl_vector,     only: VectorInt
   use string,         only: to_str, starts_with
diff --git a/src/sab_header.F90 b/src/sab_header.F90
index eca8e555a1..615e7b281d 100644
--- a/src/sab_header.F90
+++ b/src/sab_header.F90
@@ -8,10 +8,7 @@ module sab_header
   use dict_header, only: DictIntInt, DictCharInt
   use distribution_univariate, only: Tabular
   use error,       only: warning, fatal_error
-  use hdf5, only: HID_T, HSIZE_T, SIZE_T
-  use hdf5_interface, only: read_attribute, get_shape, open_group, close_group, &
-       open_dataset, read_dataset, close_dataset, get_datasets, object_exists, &
-       get_name
+  use hdf5_interface
   use random_lcg,  only: prn
   use secondary_correlated, only: CorrelatedAngleEnergy
   use settings
@@ -103,7 +100,6 @@ contains
     integer :: n_energy, n_energy_out, n_mu
     integer :: i_closest
     integer :: n_temperature
-    integer(SIZE_T) :: name_len
     integer(HID_T) :: T_group
     integer(HID_T) :: elastic_group
     integer(HID_T) :: inelastic_group
@@ -123,8 +119,7 @@ contains
     type(VectorInt) :: temps_to_read
 
     ! Get name of table from group
-    name_len = len(this % name)
-    this % name = get_name(group_id, name_len)
+    this % name = get_name(group_id)
 
     ! Get rid of leading '/'
     this % name = trim(this % name(2:))
diff --git a/src/secondary_correlated.F90 b/src/secondary_correlated.F90
index a0e203f33d..6f5e6cabf7 100644
--- a/src/secondary_correlated.F90
+++ b/src/secondary_correlated.F90
@@ -1,13 +1,10 @@
 module secondary_correlated
 
-  use hdf5, only: HID_T, HSIZE_T
-
   use algorithm, only: binary_search
   use angleenergy_header, only: AngleEnergy
   use constants, only: ZERO, ONE, HALF, TWO, HISTOGRAM, LINEAR_LINEAR
   use distribution_univariate, only: DistributionContainer, Tabular
-  use hdf5_interface, only: get_shape, read_attribute, open_dataset, &
-       read_dataset, close_dataset
+  use hdf5_interface
   use random_lcg, only: prn
 
 !===============================================================================
diff --git a/src/secondary_kalbach.F90 b/src/secondary_kalbach.F90
index f963cff3ff..3315174e1d 100644
--- a/src/secondary_kalbach.F90
+++ b/src/secondary_kalbach.F90
@@ -1,12 +1,9 @@
 module secondary_kalbach
 
-  use hdf5, only: HID_T, HSIZE_T
-
   use algorithm, only: binary_search
   use angleenergy_header, only: AngleEnergy
   use constants, only: ZERO, HALF, ONE, TWO, HISTOGRAM, LINEAR_LINEAR
-  use hdf5_interface, only: read_attribute, read_dataset, open_dataset, &
-       close_dataset, get_shape
+  use hdf5_interface
   use random_lcg, only: prn
 
 !===============================================================================
diff --git a/src/secondary_nbody.F90 b/src/secondary_nbody.F90
index 14ae949a9e..aee4b1ff78 100644
--- a/src/secondary_nbody.F90
+++ b/src/secondary_nbody.F90
@@ -1,10 +1,8 @@
 module secondary_nbody
 
-  use hdf5,               only: HID_T
-
   use angleenergy_header, only: AngleEnergy
   use constants,          only: ONE, TWO, PI
-  use hdf5_interface,     only: read_attribute
+  use hdf5_interface,     only: read_attribute, HID_T
   use math,               only: maxwell_spectrum
   use random_lcg,         only: prn
 
diff --git a/src/secondary_uncorrelated.F90 b/src/secondary_uncorrelated.F90
index 40aa827da6..e559c1e5ae 100644
--- a/src/secondary_uncorrelated.F90
+++ b/src/secondary_uncorrelated.F90
@@ -1,7 +1,5 @@
 module secondary_uncorrelated
 
-  use hdf5, only: HID_T
-
   use angle_distribution, only: AngleDistribution
   use angleenergy_header, only: AngleEnergy
   use constants, only: ONE, TWO, MAX_WORD_LEN
@@ -9,7 +7,7 @@ module secondary_uncorrelated
        ContinuousTabular, MaxwellEnergy, Evaporation, WattEnergy, DiscretePhoton
   use error, only: warning
   use hdf5_interface, only: read_attribute, open_group, close_group, &
-       object_exists
+       object_exists, HID_T
   use random_lcg, only: prn
 
 !===============================================================================
diff --git a/src/settings.F90 b/src/settings.F90
index 83aebce860..aef1c011be 100644
--- a/src/settings.F90
+++ b/src/settings.F90
@@ -75,16 +75,16 @@ module settings
   real(8) :: weight_survive = ONE
 
   ! Mode to run in (fixed source, eigenvalue, plotting, etc)
-  integer(C_INT), bind(C) :: run_mode = NONE
+  integer(C_INT), bind(C, name='openmc_run_mode') :: run_mode = NONE
 
   ! Restart run
-  logical :: restart_run = .false.
+  logical(C_BOOL), bind(C, name='openmc_restart_run') :: restart_run = .false.
 
   ! The verbosity controls how much information will be printed to the screen
   ! and in logs
-  integer(C_INT), bind(C) :: verbosity = 7
+  integer(C_INT), bind(C, name='openmc_verbosity') :: verbosity = 7
 
-  logical :: check_overlaps = .false.
+  logical(C_BOOL), bind(C, name='openmc_check_overlaps') :: check_overlaps = .false.
 
   ! Trace for single particle
   integer    :: trace_batch
@@ -92,11 +92,13 @@ module settings
   integer(8) :: trace_particle
 
   ! Particle tracks
-  logical :: write_all_tracks = .false.
+  logical(C_BOOL), bind(C, name='openmc_write_all_tracks') :: &
+       write_all_tracks = .false.
   integer, allocatable :: track_identifiers(:,:)
 
   ! Particle restart run
-  logical :: particle_restart_run = .false.
+  logical(C_BOOL), bind(C, name='openmc_particle_restart_run') :: &
+       particle_restart_run = .false.
 
   ! Write out initial source
   logical :: write_initial_source = .false.
diff --git a/src/simulation.F90 b/src/simulation.F90
index c35da3cb35..203e2056a2 100644
--- a/src/simulation.F90
+++ b/src/simulation.F90
@@ -44,40 +44,32 @@ module simulation
   implicit none
   private
   public :: openmc_next_batch
-  public :: openmc_run
   public :: openmc_simulation_init
   public :: openmc_simulation_finalize
 
+  integer(C_INT), parameter :: STATUS_EXIT_NORMAL = 0
+  integer(C_INT), parameter :: STATUS_EXIT_MAX_BATCH = 1
+  integer(C_INT), parameter :: STATUS_EXIT_ON_TRIGGER = 2
+
 contains
 
-!===============================================================================
-! OPENMC_RUN encompasses all the main logic where iterations are performed
-! over the batches, generations, and histories in a fixed source or k-eigenvalue
-! calculation.
-!===============================================================================
-
-  subroutine openmc_run() bind(C)
-
-    call openmc_simulation_init()
-    do while (openmc_next_batch() == 0)
-    end do
-    call openmc_simulation_finalize()
-
-  end subroutine openmc_run
-
 !===============================================================================
 ! OPENMC_NEXT_BATCH
 !===============================================================================
 
-  function openmc_next_batch() result(retval) bind(C)
-    integer(C_INT) :: retval
+  function openmc_next_batch(status) result(err) bind(C)
+    integer(C_INT), intent(out), optional :: status
+    integer(C_INT) :: err
 
     type(Particle) :: p
     integer(8)     :: i_work
 
+    err = 0
+
     ! Make sure simulation has been initialized
     if (.not. simulation_initialized) then
-      retval = -3
+      err = E_ALLOCATE
+      call set_errmsg("Simulation has not been initialized yet.")
       return
     end if
 
@@ -86,7 +78,7 @@ contains
     ! Handle restart runs
     if (restart_run .and. current_batch <= restart_batch) then
       call replay_batch_history()
-      retval = 0
+      status = STATUS_EXIT_NORMAL
       return
     end if
 
@@ -124,12 +116,14 @@ contains
     call finalize_batch()
 
     ! Check simulation ending criteria
-    if (current_batch == n_max_batches) then
-      retval = -1
-    elseif (satisfy_triggers) then
-      retval = -2
-    else
-      retval = 0
+    if (present(status)) then
+      if (current_batch == n_max_batches) then
+        status = STATUS_EXIT_MAX_BATCH
+      elseif (satisfy_triggers) then
+        status = STATUS_EXIT_ON_TRIGGER
+      else
+        status = STATUS_EXIT_NORMAL
+      end if
     end if
 
   end function openmc_next_batch
@@ -318,6 +312,7 @@ contains
 
   subroutine finalize_batch()
 
+    integer(C_INT) :: err
 #ifdef OPENMC_MPI
     integer :: mpi_err ! MPI error code
 #endif
@@ -353,7 +348,7 @@ contains
 
     ! Write out state point if it's been specified for this batch
     if (statepoint_batch % contains(current_batch)) then
-      call openmc_statepoint_write()
+      err = openmc_statepoint_write()
     end if
 
     ! Write out source point if it's been specified for this batch
@@ -402,9 +397,13 @@ contains
 ! INITIALIZE_SIMULATION
 !===============================================================================
 
-  subroutine openmc_simulation_init() bind(C)
+  function openmc_simulation_init() result(err) bind(C)
+    integer(C_INT) :: err
+
     integer :: i
 
+    err = 0
+
     ! Skip if simulation has already been initialized
     if (simulation_initialized) return
 
@@ -462,14 +461,15 @@ contains
     ! Set flag indicating initialization is done
     simulation_initialized = .true.
 
-  end subroutine openmc_simulation_init
+  end function openmc_simulation_init
 
 !===============================================================================
 ! FINALIZE_SIMULATION calculates tally statistics, writes tallies, and displays
 ! execution time and results
 !===============================================================================
 
-  subroutine openmc_simulation_finalize() bind(C)
+  function openmc_simulation_finalize() result(err) bind(C)
+    integer(C_INT) :: err
 
     integer    :: i       ! loop index
 #ifdef OPENMC_MPI
@@ -485,6 +485,8 @@ contains
 #endif
 #endif
 
+    err = 0
+
     ! Skip if simulation was never run
     if (.not. simulation_initialized) return
 
@@ -559,7 +561,7 @@ contains
     need_depletion_rx = .false.
     simulation_initialized = .false.
 
-  end subroutine openmc_simulation_finalize
+  end function openmc_simulation_finalize
 
 !===============================================================================
 ! CALCULATE_WORK determines how many particles each processor should simulate
diff --git a/src/simulation.cpp b/src/simulation.cpp
new file mode 100644
index 0000000000..e9bf81775a
--- /dev/null
+++ b/src/simulation.cpp
@@ -0,0 +1,18 @@
+#include "openmc.h"
+
+// OPENMC_RUN encompasses all the main logic where iterations are performed
+// over the batches, generations, and histories in a fixed source or k-eigenvalue
+// calculation.
+
+int openmc_run() {
+  openmc_simulation_init();
+
+  int err = 0;
+  int status = 0;
+  while (status == 0 && err == 0) {
+    err = openmc_next_batch(&status);
+  }
+
+  openmc_simulation_finalize();
+  return err;
+}
diff --git a/src/simulation_header.F90 b/src/simulation_header.F90
index 11be9bf9ca..8fe5e2da1f 100644
--- a/src/simulation_header.F90
+++ b/src/simulation_header.F90
@@ -23,7 +23,8 @@ module simulation_header
   integer :: current_batch     ! current batch
   integer :: current_gen       ! current generation within a batch
   integer :: total_gen     = 0 ! total number of generations simulated
-  logical(C_BOOL), bind(C) :: simulation_initialized = .false.
+  logical(C_BOOL), bind(C, name='openmc_simulation_initialized') :: &
+       simulation_initialized = .false.
   logical :: need_depletion_rx ! need to calculate depletion reaction rx?
 
   ! ============================================================================
@@ -31,8 +32,8 @@ module simulation_header
 
   logical :: satisfy_triggers = .false.       ! whether triggers are satisfied
 
-  integer(8) :: work         ! number of particles per processor
-  integer(8), allocatable :: work_index(:) ! starting index in source bank for each process
+  integer(C_INT64_T), bind(C, name='openmc_work') :: work         ! number of particles per processor
+  integer(C_INT64_T), allocatable :: work_index(:) ! starting index in source bank for each process
   integer(8) :: current_work ! index in source bank of current history simulated
 
   ! ============================================================================
@@ -40,8 +41,8 @@ module simulation_header
 
   ! Temporary k-effective values
   type(VectorReal) :: k_generation ! single-generation estimates of k
-  real(C_DOUBLE), bind(C) :: keff = ONE  ! average k over active batches
-  real(C_DOUBLE), bind(C) :: keff_std    ! standard deviation of average k
+  real(C_DOUBLE), bind(C, name='openmc_keff')     :: keff = ONE  ! average k over active batches
+  real(C_DOUBLE), bind(C, name='openmc_keff_std') :: keff_std    ! standard deviation of average k
   real(8) :: k_col_abs = ZERO ! sum over batches of k_collision * k_absorption
   real(8) :: k_col_tra = ZERO ! sum over batches of k_collision * k_tracklength
   real(8) :: k_abs_tra = ZERO ! sum over batches of k_absorption * k_tracklength
@@ -57,7 +58,7 @@ module simulation_header
   ! PARALLEL PROCESSING VARIABLES
 
 #ifdef _OPENMP
-  integer :: n_threads = NONE      ! number of OpenMP threads
+  integer(C_INT), bind(C, name='openmc_n_threads') :: n_threads = NONE      ! number of OpenMP threads
   integer :: thread_id             ! ID of a given thread
 #endif
 
diff --git a/src/source.F90 b/src/source.F90
index 5beecd8870..3683611315 100644
--- a/src/source.F90
+++ b/src/source.F90
@@ -1,6 +1,5 @@
 module source
 
-  use hdf5, only: HID_T
 #ifdef OPENMC_MPI
   use message_passing
 #endif
@@ -12,7 +11,7 @@ module source
   use distribution_multivariate, only: SpatialBox
   use error,            only: fatal_error
   use geometry,         only: find_cell
-  use hdf5_interface,   only: file_create, file_open, file_close, read_dataset
+  use hdf5_interface
   use math
   use message_passing,  only: rank
   use mgxs_header,      only: rev_energy_bins, num_energy_groups
@@ -55,16 +54,16 @@ contains
       file_id = file_open(path_source, 'r', parallel=.true.)
 
       ! Read the file type
-      call read_dataset(filetype, file_id, "filetype")
+      call read_attribute(filetype, file_id, "filetype")
 
       ! Check to make sure this is a source file
-      if (filetype /= 'source') then
+      if (filetype /= 'source' .and. filetype /= 'statepoint') then
         call fatal_error("Specified starting source file not a source file &
              &type.")
       end if
 
       ! Read in the source bank
-      call read_source_bank(file_id)
+      call read_source_bank(file_id, work_index, source_bank)
 
       ! Close file
       call file_close(file_id)
@@ -88,8 +87,8 @@ contains
     if (write_initial_source) then
       call write_message('Writing out initial source...', 5)
       filename = trim(path_output) // 'initial_source.h5'
-      file_id = file_create(filename, parallel=.true.)
-      call write_source_bank(file_id)
+      file_id = file_open(filename, 'w', parallel=.true.)
+      call write_source_bank(file_id, work_index, source_bank)
       call file_close(file_id)
     end if
 
diff --git a/src/state_point.F90 b/src/state_point.F90
index 980a7333cd..27fdd969b5 100644
--- a/src/state_point.F90
+++ b/src/state_point.F90
@@ -13,8 +13,7 @@ module state_point
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5
-
+  use bank_header,        only: Bank
   use cmfd_header
   use constants
   use eigenvalue,         only: openmc_get_keff
@@ -37,30 +36,45 @@ module state_point
 
   implicit none
 
+  interface
+    subroutine write_source_bank(group_id, work_index, bank_) bind(C)
+      import HID_T, C_INT64_T, Bank
+      integer(HID_T), value :: group_id
+      integer(C_INT64_T), intent(in) :: work_index(*)
+      type(Bank), intent(in) :: bank_(*)
+    end subroutine write_source_bank
+
+    subroutine read_source_bank(group_id, work_index, bank_) bind(C)
+      import HID_T, C_INT64_T, Bank
+      integer(HID_T), value :: group_id
+      integer(C_INT64_T), intent(in) :: work_index(*)
+      type(Bank), intent(out) :: bank_(*)
+    end subroutine read_source_bank
+  end interface
+
 contains
 
 !===============================================================================
 ! OPENMC_STATEPOINT_WRITE writes an HDF5 statepoint file to disk
 !===============================================================================
 
-  subroutine openmc_statepoint_write(filename) bind(C)
+  function openmc_statepoint_write(filename) result(err) bind(C)
     type(C_PTR), intent(in), optional :: filename
+    integer(C_INT) :: err
 
     integer :: i, j, k
     integer :: i_xs
-    integer :: n_order      ! loop index for moment orders
-    integer :: nm_order     ! loop index for Ynm moment orders
     integer, allocatable :: id_array(:)
     integer(HID_T) :: file_id
     integer(HID_T) :: cmfd_group, tallies_group, tally_group, meshes_group, &
                       filters_group, filter_group, derivs_group, &
                       deriv_group, runtime_group
-    integer(C_INT) :: err
     real(C_DOUBLE) :: k_combined(2)
     character(MAX_WORD_LEN), allocatable :: str_array(:)
     character(C_CHAR), pointer :: string(:)
     character(len=:, kind=C_CHAR), allocatable :: filename_
 
+    err = 0
     if (present(filename)) then
       call c_f_pointer(filename, string, [MAX_FILE_LEN])
       filename_ = to_f_string(string)
@@ -76,7 +90,7 @@ contains
 
     if (master) then
       ! Create statepoint file
-      file_id = file_create(filename_)
+      file_id = file_open(filename_, 'w')
 
       ! Write file type
       call write_attribute(file_id, "filetype", "statepoint")
@@ -320,42 +334,9 @@ contains
             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)
 
           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))
-            case (SCORE_SCATTER_N, SCORE_NU_SCATTER_N)
-              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) = 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 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 associate
         end do TALLY_METADATA
@@ -443,7 +424,7 @@ contains
 
       call file_close(file_id)
     end if
-  end subroutine openmc_statepoint_write
+  end function openmc_statepoint_write
 
 !===============================================================================
 ! WRITE_SOURCE_POINT
@@ -476,8 +457,8 @@ contains
 
         ! Create separate source file
         if (master .or. parallel) then
-          file_id = file_create(filename, parallel=.true.)
-          call write_dataset(file_id, "filetype", 'source')
+          file_id = file_open(filename, 'w', parallel=.true.)
+          call write_attribute(file_id, "filetype", 'source')
         end if
       else
         filename = trim(path_output) // 'statepoint.' // &
@@ -485,11 +466,11 @@ contains
         filename = trim(filename) // '.h5'
 
         if (master .or. parallel) then
-          file_id = file_open(filename, 'w', parallel=.true.)
+          file_id = file_open(filename, 'a', parallel=.true.)
         end if
       end if
 
-      call write_source_bank(file_id)
+      call write_source_bank(file_id, work_index, source_bank)
       if (master .or. parallel) call file_close(file_id)
     end if
 
@@ -498,11 +479,11 @@ contains
       filename = trim(path_output) // 'source' // '.h5'
       call write_message("Creating source file " // trim(filename) // "...", 5)
       if (master .or. parallel) then
-        file_id = file_create(filename, parallel=.true.)
-        call write_dataset(file_id, "filetype", 'source')
+        file_id = file_open(filename, 'w', parallel=.true.)
+        call write_attribute(file_id, "filetype", 'source')
       end if
 
-      call write_source_bank(file_id)
+      call write_source_bank(file_id, work_index, source_bank)
 
       if (master .or. parallel) call file_close(file_id)
     end if
@@ -815,14 +796,10 @@ contains
 
         ! Open source file
         file_id = file_open(path_source_point, 'r', parallel=.true.)
-
-        ! Read file type
-        call read_dataset(int_array(1), file_id, "filetype")
-
       end if
 
       ! Write out source
-      call read_source_bank(file_id)
+      call read_source_bank(file_id, work_index, source_bank)
 
     end if
 
@@ -831,187 +808,4 @@ contains
 
   end subroutine load_state_point
 
-!===============================================================================
-! WRITE_SOURCE_BANK writes OpenMC source_bank data
-!===============================================================================
-
-  subroutine write_source_bank(group_id)
-    use bank_header, only: Bank
-
-    integer(HID_T), intent(in) :: group_id
-
-    integer :: hdf5_err
-    integer(HID_T) :: dset     ! data set handle
-    integer(HID_T) :: dspace   ! data or file space handle
-    integer(HID_T) :: memspace ! memory space handle
-    integer(HSIZE_T) :: offset(1) ! source data offset
-    integer(HSIZE_T) :: dims(1)
-    type(c_ptr) :: f_ptr
-#ifdef PHDF5
-    integer(HID_T) :: plist    ! property list
-#else
-    integer :: i
-#ifdef OPENMC_MPI
-    integer :: mpi_err ! MPI error code
-    type(Bank), allocatable, target :: temp_source(:)
-#endif
-#endif
-
-#ifdef PHDF5
-    ! Set size of total dataspace for all procs and rank
-    dims(1) = n_particles
-    call h5screate_simple_f(1, dims, dspace, hdf5_err)
-    call h5dcreate_f(group_id, "source_bank", hdf5_bank_t, dspace, dset, hdf5_err)
-
-    ! Create another data space but for each proc individually
-    dims(1) = work
-    call h5screate_simple_f(1, dims, memspace, hdf5_err)
-
-    ! Select hyperslab for this dataspace
-    offset(1) = work_index(rank)
-    call h5sselect_hyperslab_f(dspace, H5S_SELECT_SET_F, offset, dims, hdf5_err)
-
-    ! Set up the property list for parallel writing
-    call h5pcreate_f(H5P_DATASET_XFER_F, plist, hdf5_err)
-    call h5pset_dxpl_mpio_f(plist, H5FD_MPIO_COLLECTIVE_F, hdf5_err)
-
-    ! Set up pointer to data
-    f_ptr = c_loc(source_bank)
-
-    ! Write data to file in parallel
-    call h5dwrite_f(dset, hdf5_bank_t, f_ptr, hdf5_err, &
-         file_space_id=dspace, mem_space_id=memspace, &
-         xfer_prp=plist)
-
-    ! Close all ids
-    call h5sclose_f(dspace, hdf5_err)
-    call h5sclose_f(memspace, hdf5_err)
-    call h5dclose_f(dset, hdf5_err)
-    call h5pclose_f(plist, hdf5_err)
-
-#else
-
-    if (master) then
-      ! Create dataset big enough to hold all source sites
-      dims(1) = n_particles
-      call h5screate_simple_f(1, dims, dspace, hdf5_err)
-      call h5dcreate_f(group_id, "source_bank", hdf5_bank_t, &
-           dspace, dset, hdf5_err)
-
-      ! Save source bank sites since the souce_bank array is overwritten below
-#ifdef OPENMC_MPI
-      allocate(temp_source(work))
-      temp_source(:) = source_bank(:)
-#endif
-
-      do i = 0, n_procs - 1
-        ! Create memory space
-        dims(1) = work_index(i+1) - work_index(i)
-        call h5screate_simple_f(1, dims, memspace, hdf5_err)
-
-#ifdef OPENMC_MPI
-        ! Receive source sites from other processes
-        if (i > 0) then
-          call MPI_RECV(source_bank, int(dims(1)), MPI_BANK, i, i, &
-               mpi_intracomm, MPI_STATUS_IGNORE, mpi_err)
-        end if
-#endif
-
-        ! Select hyperslab for this dataspace
-        call h5dget_space_f(dset, dspace, hdf5_err)
-        offset(1) = work_index(i)
-        call h5sselect_hyperslab_f(dspace, H5S_SELECT_SET_F, offset, dims, hdf5_err)
-
-        ! Set up pointer to data and write data to hyperslab
-        f_ptr = c_loc(source_bank)
-        call h5dwrite_f(dset, hdf5_bank_t, f_ptr, hdf5_err, &
-             file_space_id=dspace, mem_space_id=memspace)
-
-        call h5sclose_f(memspace, hdf5_err)
-        call h5sclose_f(dspace, hdf5_err)
-      end do
-
-      ! Close all ids
-      call h5dclose_f(dset, hdf5_err)
-
-      ! Restore state of source bank
-#ifdef OPENMC_MPI
-      source_bank(:) = temp_source(:)
-      deallocate(temp_source)
-#endif
-    else
-#ifdef OPENMC_MPI
-      call MPI_SEND(source_bank, int(work), MPI_BANK, 0, rank, &
-           mpi_intracomm, mpi_err)
-#endif
-    end if
-
-#endif
-
-  end subroutine write_source_bank
-
-!===============================================================================
-! READ_SOURCE_BANK reads OpenMC source_bank data
-!===============================================================================
-
-  subroutine read_source_bank(group_id)
-    use bank_header, only: Bank
-
-    integer(HID_T), intent(in) :: group_id
-
-    integer :: hdf5_err
-    integer(HID_T) :: dset     ! data set handle
-    integer(HID_T) :: dspace   ! data space handle
-    integer(HID_T) :: memspace ! memory space handle
-    integer(HSIZE_T) :: dims(1)     ! dimensions on one processor
-    integer(HSIZE_T) :: dims_all(1) ! overall dimensions
-    integer(HSIZE_T) :: maxdims(1)  ! maximum dimensions
-    integer(HSIZE_T) :: offset(1) ! offset of data
-    type(c_ptr) :: f_ptr
-#ifdef PHDF5
-    integer(HID_T) :: plist    ! property list
-#endif
-
-    ! Open the dataset
-    call h5dopen_f(group_id, "source_bank", dset, hdf5_err)
-
-    ! Create another data space but for each proc individually
-    dims(1) = work
-    call h5screate_simple_f(1, dims, memspace, hdf5_err)
-
-    ! Make sure source bank is big enough
-    call h5dget_space_f(dset, dspace, hdf5_err)
-    call h5sget_simple_extent_dims_f(dspace, dims_all, maxdims, hdf5_err)
-    if (size(source_bank, KIND=HSIZE_T) > dims_all(1)) then
-      call fatal_error("Number of source sites in source file is less than &
-           &number of source particles per generation.")
-    end if
-
-    ! Select hyperslab for each process
-    offset(1) = work_index(rank)
-    call h5sselect_hyperslab_f(dspace, H5S_SELECT_SET_F, offset, dims, hdf5_err)
-
-    ! Set up pointer to data
-    f_ptr = c_loc(source_bank)
-
-#ifdef PHDF5
-    ! Read data in parallel
-    call h5pcreate_f(H5P_DATASET_XFER_F, plist, hdf5_err)
-    call h5pset_dxpl_mpio_f(plist, H5FD_MPIO_COLLECTIVE_F, hdf5_err)
-    call h5dread_f(dset, hdf5_bank_t, f_ptr, hdf5_err, &
-         file_space_id=dspace, mem_space_id=memspace, &
-         xfer_prp=plist)
-    call h5pclose_f(plist, hdf5_err)
-#else
-    call h5dread_f(dset, hdf5_bank_t, f_ptr, hdf5_err, &
-         file_space_id=dspace, mem_space_id=memspace)
-#endif
-
-    ! Close all ids
-    call h5sclose_f(dspace, hdf5_err)
-    call h5sclose_f(memspace, hdf5_err)
-    call h5dclose_f(dset, hdf5_err)
-
-  end subroutine read_source_bank
-
 end module state_point
diff --git a/src/state_point.cpp b/src/state_point.cpp
new file mode 100644
index 0000000000..4e6b9a9f9f
--- /dev/null
+++ b/src/state_point.cpp
@@ -0,0 +1,165 @@
+#include "state_point.h"
+
+#include <algorithm>
+#include <vector>
+
+#ifdef OPENMC_MPI
+#include "mpi.h"
+#endif
+#include "error.h"
+#include "message_passing.h"
+#include "openmc.h"
+
+namespace openmc {
+
+
+hid_t h5banktype() {
+  // Create type for array of 3 reals
+  hsize_t dims[] {3};
+  hid_t triplet = H5Tarray_create(H5T_NATIVE_DOUBLE, 1, dims);
+
+  // Create bank datatype
+  hid_t banktype = H5Tcreate(H5T_COMPOUND, sizeof(struct Bank));
+  H5Tinsert(banktype, "wgt", HOFFSET(Bank, wgt), H5T_NATIVE_DOUBLE);
+  H5Tinsert(banktype, "xyz", HOFFSET(Bank, xyz), triplet);
+  H5Tinsert(banktype, "uvw", HOFFSET(Bank, uvw), triplet);
+  H5Tinsert(banktype, "E", HOFFSET(Bank, E), H5T_NATIVE_DOUBLE);
+  H5Tinsert(banktype, "delayed_group", HOFFSET(Bank, delayed_group), H5T_NATIVE_INT);
+
+  H5Tclose(triplet);
+  return banktype;
+}
+
+
+void
+write_source_bank(hid_t group_id, int64_t* work_index, Bank* source_bank)
+{
+  hid_t banktype = h5banktype();
+
+#ifdef PHDF5
+  // Set size of total dataspace for all procs and rank
+  hsize_t dims[] {static_cast<hsize_t>(n_particles)};
+  hid_t dspace = H5Screate_simple(1, dims, nullptr);
+  hid_t dset = H5Dcreate(group_id, "source_bank", banktype, dspace,
+                         H5P_DEFAULT, H5P_DEFAULT, H5P_DEFAULT);
+
+  // Create another data space but for each proc individually
+  hsize_t count[] {static_cast<hsize_t>(openmc_work)};
+  hid_t memspace = H5Screate_simple(1, count, nullptr);
+
+  // Select hyperslab for this dataspace
+  hsize_t start[] {static_cast<hsize_t>(work_index[openmc::mpi::rank])};
+  H5Sselect_hyperslab(dspace, H5S_SELECT_SET, start, nullptr, count, nullptr);
+
+  // Set up the property list for parallel writing
+  hid_t plist = H5Pcreate(H5P_DATASET_XFER);
+  H5Pset_dxpl_mpio(plist, H5FD_MPIO_COLLECTIVE);
+
+  // Write data to file in parallel
+  H5Dwrite(dset, banktype, memspace, dspace, plist, source_bank);
+
+  // Free resources
+  H5Sclose(dspace);
+  H5Sclose(memspace);
+  H5Dclose(dset);
+  H5Pclose(plist);
+
+#else
+
+  if (openmc_master) {
+    // Create dataset big enough to hold all source sites
+    hsize_t dims[] {static_cast<hsize_t>(n_particles)};
+    hid_t dspace = H5Screate_simple(1, dims, nullptr);
+    hid_t dset = H5Dcreate(group_id, "source_bank", banktype, dspace,
+                           H5P_DEFAULT, H5P_DEFAULT, H5P_DEFAULT);
+
+    // Save source bank sites since the souce_bank array is overwritten below
+#ifdef OPENMC_MPI
+    std::vector<Bank> temp_source {source_bank, source_bank + openmc_work};
+#endif
+
+    for (int i = 0; i < openmc::mpi::n_procs; ++i) {
+      // Create memory space
+      hsize_t count[] {static_cast<hsize_t>(work_index[i+1] - work_index[i])};
+      hid_t memspace = H5Screate_simple(1, count, nullptr);
+
+#ifdef OPENMC_MPI
+      // Receive source sites from other processes
+      if (i > 0)
+        MPI_Recv(source_bank, count[0], openmc::mpi::bank, i, i,
+                 openmc::mpi::intracomm, MPI_STATUS_IGNORE);
+#endif
+
+      // Select hyperslab for this dataspace
+      dspace = H5Dget_space(dset);
+      hsize_t start[] {static_cast<hsize_t>(work_index[i])};
+      H5Sselect_hyperslab(dspace, H5S_SELECT_SET, start, nullptr, count, nullptr);
+
+      // Write data to hyperslab
+      H5Dwrite(dset, banktype, memspace, dspace, H5P_DEFAULT, source_bank);
+
+      H5Sclose(memspace);
+      H5Sclose(dspace);
+    }
+
+    // Close all ids
+    H5Dclose(dset);
+
+#ifdef OPENMC_MPI
+    // Restore state of source bank
+    std::copy(temp_source.begin(), temp_source.end(), source_bank);
+#endif
+  } else {
+#ifdef OPENMC_MPI
+    MPI_Send(source_bank, openmc_work, openmc::mpi::bank, 0, openmc::mpi::rank,
+             openmc::mpi::intracomm);
+#endif
+  }
+#endif
+
+  H5Tclose(banktype);
+}
+
+
+void read_source_bank(hid_t group_id, int64_t* work_index, Bank* source_bank)
+{
+  hid_t banktype = h5banktype();
+
+  // Open the dataset
+  hid_t dset = H5Dopen(group_id, "source_bank", H5P_DEFAULT);
+
+  // Create another data space but for each proc individually
+  hsize_t dims[] {static_cast<hsize_t>(openmc_work)};
+  hid_t memspace = H5Screate_simple(1, dims, nullptr);
+
+  // Make sure source bank is big enough
+  hid_t dspace = H5Dget_space(dset);
+  hsize_t dims_all[1];
+  H5Sget_simple_extent_dims(dspace, dims_all, nullptr);
+  if (work_index[openmc::mpi::n_procs] > dims_all[0]) {
+    fatal_error("Number of source sites in source file is less "
+                "than number of source particles per generation.");
+  }
+
+  // Select hyperslab for each process
+  hsize_t start[] {static_cast<hsize_t>(work_index[openmc::mpi::rank])};
+  H5Sselect_hyperslab(dspace, H5S_SELECT_SET, start, nullptr, dims, nullptr);
+
+#ifdef PHDF5
+    // Read data in parallel
+  hid_t plist = H5Pcreate(H5P_DATASET_XFER);
+  H5Pset_dxpl_mpio(plist, H5FD_MPIO_COLLECTIVE);
+  H5Dread(dset, banktype, memspace, dspace, plist, source_bank);
+  H5Pclose(plist);
+#else
+  H5Dread(dset, banktype, memspace, dspace, H5P_DEFAULT, source_bank);
+#endif
+
+  // Close all ids
+  H5Sclose(dspace);
+  H5Sclose(memspace);
+  H5Dclose(dset);
+  H5Tclose(banktype);
+}
+
+} // namespace openmc
diff --git a/src/state_point.h b/src/state_point.h
new file mode 100644
index 0000000000..459df1a675
--- /dev/null
+++ b/src/state_point.h
@@ -0,0 +1,17 @@
+#ifndef STATE_POINT_H
+#define STATE_POINT_H
+
+#include <cstdint>
+
+#include "hdf5.h"
+#include "openmc.h"
+
+namespace openmc {
+
+extern "C" void write_source_bank(hid_t group_id, int64_t* work_index,
+                                  Bank* source_bank);
+extern "C" void read_source_bank(hid_t group_id, int64_t* work_index,
+                                 Bank* source_bank);
+
+} // namespace openmc
+#endif // STATE_POINT_H
diff --git a/src/summary.F90 b/src/summary.F90
index 3aeb42178b..bd6ef7158d 100644
--- a/src/summary.F90
+++ b/src/summary.F90
@@ -1,7 +1,5 @@
 module summary
 
-  use hdf5
-
   use constants
   use endf,            only: reaction_name
   use error,           only: write_message
@@ -38,7 +36,7 @@ contains
     call write_message("Writing summary.h5 file...", 5)
 
     ! Create a new file using default properties.
-    file_id = file_create("summary.h5")
+    file_id = file_open("summary.h5", 'w')
 
     call write_header(file_id)
     call write_nuclides(file_id)
@@ -77,34 +75,81 @@ contains
   subroutine write_nuclides(file_id)
     integer(HID_T), intent(in) :: file_id
     integer(HID_T) :: nuclide_group
+    integer(HID_T) :: macro_group
     integer :: i
-    character(12), allocatable :: nucnames(:)
+    character(12), allocatable :: nuc_names(:)
+    character(12), allocatable :: macro_names(:)
     real(8), allocatable :: awrs(:)
+    integer :: num_nuclides
+    integer :: num_macros
+    integer :: j
+    integer :: k
 
-    ! Write useful data from nuclide objects
-    nuclide_group = create_group(file_id, "nuclides")
-    call write_attribute(nuclide_group, "n_nuclides", n_nuclides)
+    ! Find how many of these nuclides are macroscopic objects
+    if (run_CE) then
+      ! Then none are macroscopic
+      num_nuclides = n_nuclides
+      num_macros = 0
+    else
+      num_nuclides = 0
+      num_macros = 0
+      do i = 1, n_nuclides
+        if (nuclides_MG(i) % obj % awr /= MACROSCOPIC_AWR) then
+          num_nuclides = num_nuclides + 1
+        else
+          num_macros = num_macros + 1
+        end if
+      end do
+    end if
 
-    ! Build array of nuclide names and awrs
-    allocate(nucnames(n_nuclides))
-    allocate(awrs(n_nuclides))
+    ! Build array of nuclide names and awrs while only sorting nuclides from
+    ! macroscopics
+    if (num_nuclides > 0) then
+      allocate(nuc_names(num_nuclides))
+      allocate(awrs(num_nuclides))
+    end if
+    if (num_macros > 0) then
+      allocate(macro_names(num_macros))
+    end if
+
+    j = 1
+    k = 1
     do i = 1, n_nuclides
       if (run_CE) then
-        nucnames(i) = nuclides(i) % name
+        nuc_names(i) = nuclides(i) % name
         awrs(i)     = nuclides(i) % awr
       else
-        nucnames(i) = nuclides_MG(i) % obj % name
-        awrs(i)     = nuclides_MG(i) % obj % awr
+        if (nuclides_MG(i) % obj % awr /= MACROSCOPIC_AWR) then
+          nuc_names(j) = nuclides_MG(i) % obj % name
+          awrs(j)     = nuclides_MG(i) % obj % awr
+          j = j + 1
+        else
+          macro_names(k) = nuclides_MG(i) % obj % name
+          k = k + 1
+        end if
       end if
     end do
 
+    nuclide_group = create_group(file_id, "nuclides")
+    call write_attribute(nuclide_group, "n_nuclides", num_nuclides)
+    macro_group = create_group(file_id, "macroscopics")
+    call write_attribute(macro_group, "n_macroscopics", num_macros)
     ! Write nuclide names and awrs
-    call write_dataset(nuclide_group, "names", nucnames)
-    call write_dataset(nuclide_group, "awrs", awrs)
-
+    if (num_nuclides > 0) then
+      ! Write useful data from nuclide objects
+      call write_dataset(nuclide_group, "names", nuc_names)
+      call write_dataset(nuclide_group, "awrs", awrs)
+    end if
+    if (num_macros > 0) then
+      ! Write useful data from macroscopic objects
+      call write_dataset(macro_group, "names", macro_names)
+    end if
     call close_group(nuclide_group)
+    call close_group(macro_group)
 
-    deallocate(nucnames, awrs)
+
+    if (allocated(nuc_names)) deallocate(nuc_names, awrs)
+    if (allocated(macro_names)) deallocate(macro_names)
 
   end subroutine write_nuclides
 
@@ -371,7 +416,13 @@ contains
 
     integer :: i
     integer :: j
-    character(20), allocatable :: nucnames(:)
+    integer :: k
+    integer :: n
+    character(20), allocatable :: nuc_names(:)
+    character(20), allocatable :: macro_names(:)
+    real(8), allocatable :: nuc_densities(:)
+    integer :: num_nuclides
+    integer :: num_macros
     integer(HID_T) :: materials_group
     integer(HID_T) :: material_group
     type(Material), pointer :: m
@@ -399,24 +450,67 @@ contains
       ! Write atom density with units
       call write_dataset(material_group, "atom_density", m % density)
 
-      ! Copy ZAID for each nuclide to temporary array
-      allocate(nucnames(m%n_nuclides))
-      do j = 1, m%n_nuclides
-        if (run_CE) then
-          nucnames(j) = nuclides(m%nuclide(j))%name
-        else
-          nucnames(j) = nuclides_MG(m%nuclide(j))%obj%name
+      if (run_CE) then
+        num_nuclides = m % n_nuclides
+        num_macros = 0
+      else
+        ! Find the number of macroscopic and nuclide data in this material
+        num_nuclides  = 0
+        num_macros = 0
+        do j = 1, m % n_nuclides
+          if (nuclides_MG(m % nuclide(j)) % obj % awr /= MACROSCOPIC_AWR) then
+            num_nuclides = num_nuclides + 1
+          else
+            num_macros = num_macros + 1
+          end if
+        end do
+      end if
+
+      ! Copy ZAID or macro name for each nuclide to temporary array
+      if (num_nuclides > 0) then
+        allocate(nuc_names(num_nuclides))
+        allocate(nuc_densities(num_nuclides))
+      end if
+      if (run_CE) then
+        do j = 1, m % n_nuclides
+          nuc_names(j) = nuclides(m%nuclide(j))%name
+          nuc_densities(j) = m % atom_density(j)
+        end do
+      else
+        if (num_macros > 0) then
+          allocate(macro_names(num_macros))
         end if
-      end do
+
+        k = 1
+        n = 1
+        do j = 1, m % n_nuclides
+          if (nuclides_MG(m % nuclide(j)) % obj % awr /= MACROSCOPIC_AWR) then
+            nuc_names(k) = nuclides_MG(m % nuclide(j)) % obj % name
+            nuc_densities(k) = m % atom_density(j)
+            k = k + 1
+          else
+            macro_names(n) = nuclides_MG(m % nuclide(j)) % obj % name
+            n = n + 1
+          end if
+        end do
+      end if
 
       ! Write temporary array to 'nuclides'
-      call write_dataset(material_group, "nuclides", nucnames)
+      if (num_nuclides > 0) then
+        call write_dataset(material_group, "nuclides", nuc_names)
+        ! Deallocate temporary array
+        deallocate(nuc_names)
+        ! Write atom densities
+        call write_dataset(material_group, "nuclide_densities", nuc_densities)
+        deallocate(nuc_densities)
+      end if
 
-      ! Deallocate temporary array
-      deallocate(nucnames)
-
-      ! Write atom densities
-      call write_dataset(material_group, "nuclide_densities", m%atom_density)
+      ! Write temporary array to 'macroscopics'
+      if (num_macros > 0) then
+        call write_dataset(material_group, "macroscopics", macro_names)
+        ! Deallocate temporary array
+        deallocate(macro_names)
+      end if
 
       if (m%n_sab > 0) then
         call write_dataset(material_group, "sab_names", m%sab_names)
diff --git a/src/surface.cpp b/src/surface.cpp
index 9abfd23d2e..2c3279604a 100644
--- a/src/surface.cpp
+++ b/src/surface.cpp
@@ -11,6 +11,12 @@
 
 namespace openmc {
 
+//==============================================================================
+// Global variables
+//==============================================================================
+
+int32_t n_surfaces;
+
 //==============================================================================
 // Helper functions for reading the "coeffs" node of an XML surface element
 //==============================================================================
@@ -202,21 +208,21 @@ Surface::to_hdf5(hid_t group_id) const
 
   switch(bc) {
     case BC_TRANSMIT :
-      write_string(surf_group, "boundary_type", "transmission");
+      write_string(surf_group, "boundary_type", "transmission", false);
       break;
     case BC_VACUUM :
-      write_string(surf_group, "boundary_type", "vacuum");
+      write_string(surf_group, "boundary_type", "vacuum", false);
       break;
     case BC_REFLECT :
-      write_string(surf_group, "boundary_type", "reflective");
+      write_string(surf_group, "boundary_type", "reflective", false);
       break;
     case BC_PERIODIC :
-      write_string(surf_group, "boundary_type", "periodic");
+      write_string(surf_group, "boundary_type", "periodic", false);
       break;
   }
 
   if (!name.empty()) {
-    write_string(surf_group, "name", name);
+    write_string(surf_group, "name", name, false);
   }
 
   to_hdf5_inner(surf_group);
@@ -297,7 +303,7 @@ inline void SurfaceXPlane::normal(const double xyz[3], double uvw[3]) const
 
 void SurfaceXPlane::to_hdf5_inner(hid_t group_id) const
 {
-  write_string(group_id, "type", "x-plane");
+  write_string(group_id, "type", "x-plane", false);
   std::array<double, 1> coeffs {{x0}};
   write_double_1D(group_id, "coefficients", coeffs);
 }
@@ -362,7 +368,7 @@ inline void SurfaceYPlane::normal(const double xyz[3], double uvw[3]) const
 
 void SurfaceYPlane::to_hdf5_inner(hid_t group_id) const
 {
-  write_string(group_id, "type", "y-plane");
+  write_string(group_id, "type", "y-plane", false);
   std::array<double, 1> coeffs {{y0}};
   write_double_1D(group_id, "coefficients", coeffs);
 }
@@ -428,7 +434,7 @@ inline void SurfaceZPlane::normal(const double xyz[3], double uvw[3]) const
 
 void SurfaceZPlane::to_hdf5_inner(hid_t group_id) const
 {
-  write_string(group_id, "type", "z-plane");
+  write_string(group_id, "type", "z-plane", false);
   std::array<double, 1> coeffs {{z0}};
   write_double_1D(group_id, "coefficients", coeffs);
 }
@@ -489,7 +495,7 @@ SurfacePlane::normal(const double xyz[3], double uvw[3]) const
 
 void SurfacePlane::to_hdf5_inner(hid_t group_id) const
 {
-  write_string(group_id, "type", "plane");
+  write_string(group_id, "type", "plane", false);
   std::array<double, 4> coeffs {{A, B, C, D}};
   write_double_1D(group_id, "coefficients", coeffs);
 }
@@ -621,7 +627,7 @@ inline void SurfaceXCylinder::normal(const double xyz[3], double uvw[3]) const
 
 void SurfaceXCylinder::to_hdf5_inner(hid_t group_id) const
 {
-  write_string(group_id, "type", "x-cylinder");
+  write_string(group_id, "type", "x-cylinder", false);
   std::array<double, 3> coeffs {{y0, z0, r}};
   write_double_1D(group_id, "coefficients", coeffs);
 }
@@ -655,7 +661,7 @@ inline void SurfaceYCylinder::normal(const double xyz[3], double uvw[3]) const
 
 void SurfaceYCylinder::to_hdf5_inner(hid_t group_id) const
 {
-  write_string(group_id, "type", "y-cylinder");
+  write_string(group_id, "type", "y-cylinder", false);
   std::array<double, 3> coeffs {{x0, z0, r}};
   write_double_1D(group_id, "coefficients", coeffs);
 }
@@ -689,7 +695,7 @@ inline void SurfaceZCylinder::normal(const double xyz[3], double uvw[3]) const
 
 void SurfaceZCylinder::to_hdf5_inner(hid_t group_id) const
 {
-  write_string(group_id, "type", "z-cylinder");
+  write_string(group_id, "type", "z-cylinder", false);
   std::array<double, 3> coeffs {{x0, y0, r}};
   write_double_1D(group_id, "coefficients", coeffs);
 }
@@ -760,7 +766,7 @@ inline void SurfaceSphere::normal(const double xyz[3], double uvw[3]) const
 
 void SurfaceSphere::to_hdf5_inner(hid_t group_id) const
 {
-  write_string(group_id, "type", "sphere");
+  write_string(group_id, "type", "sphere", false);
   std::array<double, 4> coeffs {{x0, y0, z0, r}};
   write_double_1D(group_id, "coefficients", coeffs);
 }
@@ -877,7 +883,7 @@ inline void SurfaceXCone::normal(const double xyz[3], double uvw[3]) const
 
 void SurfaceXCone::to_hdf5_inner(hid_t group_id) const
 {
-  write_string(group_id, "type", "x-cone");
+  write_string(group_id, "type", "x-cone", false);
   std::array<double, 4> coeffs {{x0, y0, z0, r_sq}};
   write_double_1D(group_id, "coefficients", coeffs);
 }
@@ -911,7 +917,7 @@ inline void SurfaceYCone::normal(const double xyz[3], double uvw[3]) const
 
 void SurfaceYCone::to_hdf5_inner(hid_t group_id) const
 {
-  write_string(group_id, "type", "y-cone");
+  write_string(group_id, "type", "y-cone", false);
   std::array<double, 4> coeffs {{x0, y0, z0, r_sq}};
   write_double_1D(group_id, "coefficients", coeffs);
 }
@@ -945,7 +951,7 @@ inline void SurfaceZCone::normal(const double xyz[3], double uvw[3]) const
 
 void SurfaceZCone::to_hdf5_inner(hid_t group_id) const
 {
-  write_string(group_id, "type", "z-cone");
+  write_string(group_id, "type", "z-cone", false);
   std::array<double, 4> coeffs {{x0, y0, z0, r_sq}};
   write_double_1D(group_id, "coefficients", coeffs);
 }
@@ -1039,7 +1045,7 @@ SurfaceQuadric::normal(const double xyz[3], double uvw[3]) const
 
 void SurfaceQuadric::to_hdf5_inner(hid_t group_id) const
 {
-  write_string(group_id, "type", "quadric");
+  write_string(group_id, "type", "quadric", false);
   std::array<double, 10> coeffs {{A, B, C, D, E, F, G, H, J, K}};
   write_double_1D(group_id, "coefficients", coeffs);
 }
@@ -1232,4 +1238,47 @@ read_surfaces(pugi::xml_node *node)
   }
 }
 
+//==============================================================================
+// Fortran compatibility functions
+//==============================================================================
+
+extern "C" Surface* surface_pointer(int surf_ind) {return surfaces_c[surf_ind];}
+
+extern "C" int surface_id(Surface *surf) {return surf->id;}
+
+extern "C" int surface_bc(Surface *surf) {return surf->bc;}
+
+extern "C" bool surface_sense(Surface *surf, double xyz[3], double uvw[3])
+{return surf->sense(xyz, uvw);}
+
+extern "C" void surface_reflect(Surface *surf, double xyz[3], double uvw[3])
+{surf->reflect(xyz, uvw);}
+
+extern "C" double
+surface_distance(Surface *surf, double xyz[3], double uvw[3], bool coincident)
+{return surf->distance(xyz, uvw, coincident);}
+
+extern "C" void surface_normal(Surface *surf, double xyz[3], double uvw[3])
+{return surf->normal(xyz, uvw);}
+
+extern "C" void surface_to_hdf5(Surface *surf, hid_t group)
+{surf->to_hdf5(group);}
+
+extern "C" int surface_i_periodic(PeriodicSurface *surf)
+{return surf->i_periodic;}
+
+extern "C" bool
+surface_periodic(PeriodicSurface *surf, PeriodicSurface *other, double xyz[3],
+                 double uvw[3])
+{return surf->periodic_translate(other, xyz, uvw);}
+
+extern "C" void free_memory_surfaces_c()
+{
+  for (int i = 0; i < n_surfaces; i++) {delete surfaces_c[i];}
+  delete surfaces_c;
+  surfaces_c = nullptr;
+  n_surfaces = 0;
+  surface_dict.clear();
+}
+
 } // namespace openmc
diff --git a/src/surface.h b/src/surface.h
index 627a8fbae2..15ac0d5bdd 100644
--- a/src/surface.h
+++ b/src/surface.h
@@ -25,15 +25,14 @@ extern "C" const int BC_PERIODIC {3};
 //==============================================================================
 
 extern "C" double FP_COINCIDENT;
-constexpr double INFTY{std::numeric_limits<double>::max()};
+constexpr double INFTY {std::numeric_limits<double>::max()};
 constexpr int C_NONE {-1};
 
 //==============================================================================
 // Global variables
 //==============================================================================
 
-// Braces force n_surfaces to be defined here, not just declared.
-extern "C" {int32_t n_surfaces {0};}
+extern "C" int32_t n_surfaces;
 
 class Surface;
 Surface **surfaces_c;
@@ -384,44 +383,19 @@ public:
 // Fortran compatibility functions
 //==============================================================================
 
-extern "C" Surface* surface_pointer(int surf_ind) {return surfaces_c[surf_ind];}
-
-extern "C" int surface_id(Surface *surf) {return surf->id;}
-
-extern "C" int surface_bc(Surface *surf) {return surf->bc;}
-
-extern "C" bool surface_sense(Surface *surf, double xyz[3], double uvw[3])
-{return surf->sense(xyz, uvw);}
-
-extern "C" void surface_reflect(Surface *surf, double xyz[3], double uvw[3])
-{surf->reflect(xyz, uvw);}
-
-extern "C" double
-surface_distance(Surface *surf, double xyz[3], double uvw[3], bool coincident)
-{return surf->distance(xyz, uvw, coincident);}
-
-extern "C" void surface_normal(Surface *surf, double xyz[3], double uvw[3])
-{return surf->normal(xyz, uvw);}
-
-extern "C" void surface_to_hdf5(Surface *surf, hid_t group)
-{surf->to_hdf5(group);}
-
-extern "C" int surface_i_periodic(PeriodicSurface *surf)
-{return surf->i_periodic;}
-
-extern "C" bool
-surface_periodic(PeriodicSurface *surf, PeriodicSurface *other, double xyz[3],
-                 double uvw[3])
-{return surf->periodic_translate(other, xyz, uvw);}
-
-extern "C" void free_memory_surfaces_c()
-{
-  for (int i = 0; i < n_surfaces; i++) {delete surfaces_c[i];}
-  delete surfaces_c;
-  surfaces_c = nullptr;
-  n_surfaces = 0;
-  surface_dict.clear();
-}
+extern "C" Surface* surface_pointer(int surf_ind);
+extern "C" int surface_id(Surface *surf);
+extern "C" int surface_bc(Surface *surf);
+extern "C" bool surface_sense(Surface *surf, double xyz[3], double uvw[3]);
+extern "C" void surface_reflect(Surface *surf, double xyz[3], double uvw[3]);
+extern "C" double surface_distance(Surface *surf, double xyz[3], double uvw[3],
+                                   bool coincident);
+extern "C" void surface_normal(Surface *surf, double xyz[3], double uvw[3]);
+extern "C" void surface_to_hdf5(Surface *surf, hid_t group);
+extern "C" int surface_i_periodic(PeriodicSurface *surf);
+extern "C" bool surface_periodic(PeriodicSurface *surf, PeriodicSurface *other,
+                                 double xyz[3], double uvw[3]);
+extern "C" void free_memory_surfaces_c();
 
 } // namespace openmc
 #endif // SURFACE_H
diff --git a/src/surface_header.F90 b/src/surface_header.F90
index 9ed89a14e9..ab6babb5cb 100644
--- a/src/surface_header.F90
+++ b/src/surface_header.F90
@@ -1,9 +1,9 @@
 module surface_header
 
   use, intrinsic :: ISO_C_BINDING
-  use hdf5
 
   use dict_header, only: DictIntInt
+  use hdf5_interface
 
   implicit none
 
@@ -71,8 +71,7 @@ module surface_header
 
     subroutine surface_to_hdf5_c(surf_ptr, group) &
          bind(C, name='surface_to_hdf5')
-      use ISO_C_BINDING
-      use hdf5
+      import C_PTR, HID_T
       implicit none
       type(C_PTR),    intent(in), value :: surf_ptr
       integer(HID_T), intent(in), value :: group
diff --git a/src/tallies/tally.F90 b/src/tallies/tally.F90
index f4d12be7e1..2e1d6184c3 100644
--- a/src/tallies/tally.F90
+++ b/src/tallies/tally.F90
@@ -84,7 +84,6 @@ contains
     integer :: i                    ! loop index for scoring bins
     integer :: l                    ! loop index for nuclides in material
     integer :: m                    ! loop index for reactions
-    integer :: q                    ! loop index for scoring bins
     integer :: i_temp               ! temperature index
     integer :: i_nuc                ! index in nuclides array (from material)
     integer :: i_energy             ! index in nuclide energy grid
@@ -104,9 +103,7 @@ contains
     ! Pre-collision energy of particle
     E = p % last_E
 
-    i = 0
-    SCORE_LOOP: do q = 1, t % n_user_score_bins
-      i = i + 1
+    SCORE_LOOP: do i = 1, t % n_score_bins
 
       ! determine what type of score bin
       score_bin = t % score_bins(i)
@@ -120,7 +117,7 @@ contains
       select case(score_bin)
 
 
-      case (SCORE_FLUX, SCORE_FLUX_YN)
+      case (SCORE_FLUX)
         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
@@ -140,7 +137,7 @@ contains
         end if
 
 
-      case (SCORE_TOTAL, SCORE_TOTAL_YN)
+      case (SCORE_TOTAL)
         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
@@ -187,7 +184,7 @@ contains
         end if
 
 
-      case (SCORE_SCATTER, SCORE_SCATTER_N)
+      case (SCORE_SCATTER)
         if (t % estimator == ESTIMATOR_ANALOG) then
           ! Skip any event where the particle didn't scatter
           if (p % event /= EVENT_SCATTER) cycle SCORE_LOOP
@@ -197,7 +194,6 @@ contains
           score = p % last_wgt * flux
 
         else
-          ! Note SCORE_SCATTER_N not available for tracklength/collision.
           if (i_nuclide > 0) then
             score = (micro_xs(i_nuclide) % total &
                  - micro_xs(i_nuclide) % absorption) * atom_density * flux
@@ -207,33 +203,7 @@ contains
         end if
 
 
-      case (SCORE_SCATTER_PN)
-        ! Only analog estimators are available.
-        ! Skip any event where the particle didn't scatter
-        if (p % event /= EVENT_SCATTER) then
-          i = i + t % moment_order(i)
-          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 * flux
-
-
-      case (SCORE_SCATTER_YN)
-        ! Only analog estimators are available.
-        ! Skip any event where the particle didn't scatter
-        if (p % event /= EVENT_SCATTER) then
-          i = i + (t % moment_order(i) + 1)**2 - 1
-          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 * flux
-
-
-      case (SCORE_NU_SCATTER, SCORE_NU_SCATTER_N)
+      case (SCORE_NU_SCATTER)
         ! Only analog estimators are available.
         ! Skip any event where the particle didn't scatter
         if (p % event /= EVENT_SCATTER) cycle SCORE_LOOP
@@ -256,58 +226,6 @@ contains
         end if
 
 
-      case (SCORE_NU_SCATTER_PN)
-        ! Only analog estimators are available.
-        ! Skip any event where the particle didn't scatter
-        if (p % event /= EVENT_SCATTER) then
-          i = i + t % moment_order(i)
-          cycle SCORE_LOOP
-        end if
-        ! 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 of one.
-          score = p % last_wgt * flux
-        else
-          m = nuclides(p % event_nuclide) % reaction_index(p % event_MT)
-
-          ! Get yield and apply to score
-          associate (rxn => nuclides(p % event_nuclide) % reactions(m))
-            score = p % last_wgt * flux &
-                 * rxn % products(1) % yield % evaluate(E)
-          end associate
-        end if
-
-
-      case (SCORE_NU_SCATTER_YN)
-        ! Only analog estimators are available.
-        ! Skip any event where the particle didn't scatter
-        if (p % event /= EVENT_SCATTER) then
-          i = i + (t % moment_order(i) + 1)**2 - 1
-          cycle SCORE_LOOP
-        end if
-        ! 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 of one.
-          score = p % last_wgt * flux
-        else
-          m = nuclides(p % event_nuclide) % reaction_index(p % event_MT)
-
-          ! Get yield and apply to score
-          associate (rxn => nuclides(p%event_nuclide)%reactions(m))
-            score = p % last_wgt * flux &
-                 * rxn % products(1) % yield % evaluate(E)
-          end associate
-        end if
-
-
       case (SCORE_ABSORPTION)
         if (t % estimator == ESTIMATOR_ANALOG) then
           if (survival_biasing) then
@@ -1281,8 +1199,9 @@ contains
 
       !#########################################################################
       ! Expand score if necessary and add to tally results.
-      call expand_and_score(p, t, score_index, filter_index, score_bin, &
-                            score, i)
+!$omp atomic
+      t % results(RESULT_VALUE, score_index, filter_index) = &
+           t % results(RESULT_VALUE, score_index, filter_index) + score
 
     end do SCORE_LOOP
   end subroutine score_general_ce
@@ -1359,7 +1278,7 @@ contains
     end if
 
     i = 0
-    SCORE_LOOP: do q = 1, t % n_user_score_bins
+    SCORE_LOOP: do q = 1, t % n_score_bins
       i = i + 1
 
       ! determine what type of score bin
@@ -1374,7 +1293,7 @@ contains
       select case(score_bin)
 
 
-      case (SCORE_FLUX, SCORE_FLUX_YN)
+      case (SCORE_FLUX)
         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
@@ -1395,7 +1314,7 @@ contains
         end if
 
 
-      case (SCORE_TOTAL, SCORE_TOTAL_YN)
+      case (SCORE_TOTAL)
         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
@@ -1456,15 +1375,10 @@ contains
         end if
 
 
-      case (SCORE_SCATTER, SCORE_SCATTER_N, SCORE_SCATTER_PN, SCORE_SCATTER_YN)
+      case (SCORE_SCATTER)
         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
 
@@ -1485,7 +1399,6 @@ contains
           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)
@@ -1498,16 +1411,10 @@ contains
         end if
 
 
-      case (SCORE_NU_SCATTER, SCORE_NU_SCATTER_N, SCORE_NU_SCATTER_PN, &
-            SCORE_NU_SCATTER_YN)
+      case (SCORE_NU_SCATTER)
         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
 
@@ -1528,7 +1435,6 @@ contains
           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
@@ -2077,124 +1983,15 @@ contains
 
       !#########################################################################
       ! Expand score if necessary and add to tally results.
-      call expand_and_score(p, t, score_index, filter_index, score_bin, &
-                            score, i)
+!$omp atomic
+      t % results(RESULT_VALUE, score_index, filter_index) = &
+           t % results(RESULT_VALUE, score_index, filter_index) + score
 
     end do SCORE_LOOP
 
     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
-!$omp atomic
-      t % results(RESULT_VALUE, score_index, filter_index) = &
-           t % results(RESULT_VALUE, score_index, filter_index) + score
-
-
-    case(SCORE_SCATTER_YN, SCORE_NU_SCATTER_YN)
-      score_index = score_index - 1
-      num_nm = 1
-      ! Find the order for a collection of requested moments
-      ! and store the moment contribution of each
-      do n = 0, t % moment_order(i)
-        ! determine scoring bin index
-        score_index = score_index + num_nm
-        ! Update number of total n,m bins for this n (m = [-n: n])
-        num_nm = 2 * n + 1
-
-        ! multiply score by the angular flux moments and store
-!$omp critical (score_general_scatt_yn)
-        t % results(RESULT_VALUE, score_index: score_index + num_nm - 1, &
-             filter_index) = t % results(RESULT_VALUE, &
-             score_index: score_index + num_nm - 1, filter_index) &
-             + 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(RESULT_VALUE, score_index: score_index + num_nm - 1, &
-             filter_index) = t % results(RESULT_VALUE, &
-             score_index: score_index + num_nm - 1, filter_index) &
-             + 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(RESULT_VALUE, score_index, filter_index) = &
-             t % results(RESULT_VALUE, score_index, filter_index) &
-             + score * calc_pn(n, p % mu)
-      end do
-      i = i + t % moment_order(i)
-
-
-    case default
-!$omp atomic
-      t % results(RESULT_VALUE, score_index, filter_index) = &
-           t % results(RESULT_VALUE, score_index, filter_index) + score
-
-    end select
-
-  end subroutine expand_and_score
-
 !===============================================================================
 ! SCORE_ALL_NUCLIDES tallies individual nuclide reaction rates specifically when
 ! the user requests <nuclides>all</nuclides>.
@@ -3134,7 +2931,7 @@ contains
 
         ! Currently only one score type
         k = 0
-        SCORE_LOOP: do q = 1, t % n_user_score_bins
+        SCORE_LOOP: do q = 1, t % n_score_bins
           k = k + 1
 
           ! determine what type of score bin
@@ -3144,8 +2941,10 @@ contains
           score_index = q
 
           ! Expand score if necessary and add to tally results.
-          call expand_and_score(p, t, score_index, filter_index, score_bin, &
-               score, k)
+!$omp atomic
+          t % results(RESULT_VALUE, score_index, filter_index) = &
+               t % results(RESULT_VALUE, score_index, filter_index) + score
+
         end do SCORE_LOOP
 
         ! ======================================================================
diff --git a/src/tallies/tally_filter.F90 b/src/tallies/tally_filter.F90
index e484ac2315..4b589cedbf 100644
--- a/src/tallies/tally_filter.F90
+++ b/src/tallies/tally_filter.F90
@@ -2,8 +2,6 @@ module tally_filter
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5, only: HID_T
-
   use error
   use string,              only: to_f_string
   use tally_filter_header
diff --git a/src/tallies/tally_filter_azimuthal.F90 b/src/tallies/tally_filter_azimuthal.F90
index 272d111d14..fc7f15a17a 100644
--- a/src/tallies/tally_filter_azimuthal.F90
+++ b/src/tallies/tally_filter_azimuthal.F90
@@ -2,8 +2,6 @@ module tally_filter_azimuthal
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5
-
   use algorithm,          only: binary_search
   use constants
   use error,              only: fatal_error
diff --git a/src/tallies/tally_filter_cell.F90 b/src/tallies/tally_filter_cell.F90
index 8d2b93d282..00ab8fa15b 100644
--- a/src/tallies/tally_filter_cell.F90
+++ b/src/tallies/tally_filter_cell.F90
@@ -2,8 +2,6 @@ module tally_filter_cell
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5
-
   use constants,          only: ONE, MAX_LINE_LEN
   use dict_header,        only: EMPTY
   use error,              only: fatal_error
diff --git a/src/tallies/tally_filter_cellborn.F90 b/src/tallies/tally_filter_cellborn.F90
index 450858b6b8..0d7461ef82 100644
--- a/src/tallies/tally_filter_cellborn.F90
+++ b/src/tallies/tally_filter_cellborn.F90
@@ -2,8 +2,6 @@ module tally_filter_cellborn
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5
-
   use constants,          only: ONE, MAX_LINE_LEN
   use dict_header,        only: EMPTY
   use error,              only: fatal_error
diff --git a/src/tallies/tally_filter_cellfrom.F90 b/src/tallies/tally_filter_cellfrom.F90
index 16cb294d56..2c54021226 100644
--- a/src/tallies/tally_filter_cellfrom.F90
+++ b/src/tallies/tally_filter_cellfrom.F90
@@ -2,8 +2,6 @@ module tally_filter_cellfrom
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5
-
   use constants,          only: ONE, MAX_LINE_LEN
   use dict_header,        only: EMPTY
   use error,              only: fatal_error
diff --git a/src/tallies/tally_filter_delayedgroup.F90 b/src/tallies/tally_filter_delayedgroup.F90
index 32010e8157..1a662005bc 100644
--- a/src/tallies/tally_filter_delayedgroup.F90
+++ b/src/tallies/tally_filter_delayedgroup.F90
@@ -2,8 +2,6 @@ module tally_filter_delayedgroup
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5
-
   use constants,          only: ONE, MAX_LINE_LEN, MAX_DELAYED_GROUPS
   use error,              only: fatal_error
   use hdf5_interface
diff --git a/src/tallies/tally_filter_distribcell.F90 b/src/tallies/tally_filter_distribcell.F90
index 3cb34efe4c..6c42161ca7 100644
--- a/src/tallies/tally_filter_distribcell.F90
+++ b/src/tallies/tally_filter_distribcell.F90
@@ -2,8 +2,6 @@ module tally_filter_distribcell
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5, only: HID_T
-
   use constants
   use dict_header,     only: EMPTY
   use error
diff --git a/src/tallies/tally_filter_energy.F90 b/src/tallies/tally_filter_energy.F90
index d186fa62a8..93da69edda 100644
--- a/src/tallies/tally_filter_energy.F90
+++ b/src/tallies/tally_filter_energy.F90
@@ -2,8 +2,6 @@ module tally_filter_energy
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5, only: HID_T
-
   use algorithm,           only: binary_search
   use constants
   use error
diff --git a/src/tallies/tally_filter_energyfunc.F90 b/src/tallies/tally_filter_energyfunc.F90
index efaabae2ee..1402707b4d 100644
--- a/src/tallies/tally_filter_energyfunc.F90
+++ b/src/tallies/tally_filter_energyfunc.F90
@@ -2,8 +2,6 @@ module tally_filter_energyfunc
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5
-
   use algorithm,          only: binary_search
   use constants
   use error,              only: fatal_error
diff --git a/src/tallies/tally_filter_header.F90 b/src/tallies/tally_filter_header.F90
index 93d050b1af..e57423ddfa 100644
--- a/src/tallies/tally_filter_header.F90
+++ b/src/tallies/tally_filter_header.F90
@@ -5,13 +5,12 @@ module tally_filter_header
   use constants,       only: MAX_LINE_LEN
   use dict_header,     only: DictIntInt
   use error
+  use hdf5_interface,  only: HID_T
   use particle_header, only: Particle
   use stl_vector,      only: VectorInt, VectorReal
   use string,          only: to_str
   use xml_interface,   only: XMLNode
 
-  use hdf5
-
   implicit none
   private
   public :: free_memory_tally_filter
diff --git a/src/tallies/tally_filter_legendre.F90 b/src/tallies/tally_filter_legendre.F90
index 9545b86926..b4ee7b06b1 100644
--- a/src/tallies/tally_filter_legendre.F90
+++ b/src/tallies/tally_filter_legendre.F90
@@ -2,8 +2,6 @@ module tally_filter_legendre
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5, only: HID_T
-
   use constants
   use error
   use hdf5_interface
diff --git a/src/tallies/tally_filter_material.F90 b/src/tallies/tally_filter_material.F90
index 3b9f843f84..443dc62855 100644
--- a/src/tallies/tally_filter_material.F90
+++ b/src/tallies/tally_filter_material.F90
@@ -2,8 +2,6 @@ module tally_filter_material
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5, only: HID_T
-
   use constants
   use dict_header,     only: DictIntInt, EMPTY
   use error
diff --git a/src/tallies/tally_filter_mesh.F90 b/src/tallies/tally_filter_mesh.F90
index 3c0e6250c2..486569da63 100644
--- a/src/tallies/tally_filter_mesh.F90
+++ b/src/tallies/tally_filter_mesh.F90
@@ -2,8 +2,6 @@ module tally_filter_mesh
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5
-
   use constants
   use dict_header,         only: EMPTY
   use error
@@ -16,6 +14,7 @@ module tally_filter_mesh
 
   implicit none
   private
+  public :: openmc_mesh_filter_get_mesh
   public :: openmc_mesh_filter_set_mesh
 
 !===============================================================================
@@ -280,35 +279,46 @@ contains
 !                               C API FUNCTIONS
 !===============================================================================
 
+  function openmc_mesh_filter_get_mesh(index, index_mesh) result(err) bind(C)
+    ! Get the mesh for a mesh filter
+    integer(C_INT32_T), value, intent(in) :: index
+    integer(C_INT32_T), intent(out)       :: index_mesh
+    integer(C_INT) :: err
+
+    err = verify_filter(index)
+    if (err == 0) then
+      select type (f => filters(index) % obj)
+      type is (MeshFilter)
+        index_mesh = f % mesh
+      class default
+        err = E_INVALID_TYPE
+        call set_errmsg("Tried to set mesh on a non-mesh filter.")
+      end select
+    end if
+  end function openmc_mesh_filter_get_mesh
+
+
   function openmc_mesh_filter_set_mesh(index, index_mesh) result(err) bind(C)
     ! Set the mesh for a mesh filter
     integer(C_INT32_T), value, intent(in) :: index
     integer(C_INT32_T), value, intent(in) :: index_mesh
     integer(C_INT) :: err
 
-    err = 0
-    if (index >= 1 .and. index <= n_filters) then
-      if (allocated(filters(index) % obj)) then
-        select type (f => filters(index) % obj)
-        type is (MeshFilter)
-          if (index_mesh >= 1 .and. index_mesh <= n_meshes) then
-            f % mesh = index_mesh
-            f % n_bins = product(meshes(index_mesh) % dimension)
-          else
-            err = E_OUT_OF_BOUNDS
-            call set_errmsg("Index in 'meshes' array is out of bounds.")
-          end if
+    err = verify_filter(index)
+    if (err == 0) then
+      select type (f => filters(index) % obj)
+      type is (MeshFilter)
+        if (index_mesh >= 1 .and. index_mesh <= n_meshes) then
+          f % mesh = index_mesh
+          f % n_bins = product(meshes(index_mesh) % dimension)
+        else
+          err = E_OUT_OF_BOUNDS
+          call set_errmsg("Index in 'meshes' array is out of bounds.")
+        end if
         class default
-          err = E_INVALID_TYPE
-          call set_errmsg("Tried to set mesh on a non-mesh filter.")
-        end select
-      else
-        err = E_ALLOCATE
-        call set_errmsg("Filter type has not been set yet.")
-      end if
-    else
-      err = E_OUT_OF_BOUNDS
-      call set_errmsg("Index in filters array out of bounds.")
+        err = E_INVALID_TYPE
+        call set_errmsg("Tried to set mesh on a non-mesh filter.")
+      end select
     end if
   end function openmc_mesh_filter_set_mesh
 
diff --git a/src/tallies/tally_filter_meshsurface.F90 b/src/tallies/tally_filter_meshsurface.F90
index e1e8c48033..801d4252ca 100644
--- a/src/tallies/tally_filter_meshsurface.F90
+++ b/src/tallies/tally_filter_meshsurface.F90
@@ -2,8 +2,6 @@ module tally_filter_meshsurface
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5
-
   use constants
   use dict_header,         only: EMPTY
   use error
@@ -16,6 +14,7 @@ module tally_filter_meshsurface
 
   implicit none
   private
+  public :: openmc_meshsurface_filter_get_mesh
   public :: openmc_meshsurface_filter_set_mesh
 
 !===============================================================================
@@ -296,6 +295,25 @@ contains
 !                               C API FUNCTIONS
 !===============================================================================
 
+  function openmc_meshsurface_filter_get_mesh(index, index_mesh) result(err) bind(C)
+    ! Get the mesh for a mesh surface filter
+    integer(C_INT32_T), value, intent(in) :: index
+    integer(C_INT32_T), intent(out)       :: index_mesh
+    integer(C_INT) :: err
+
+    err = verify_filter(index)
+    if (err == 0) then
+      select type (f => filters(index) % obj)
+      type is (MeshSurfaceFilter)
+        index_mesh = f % mesh
+      class default
+        err = E_INVALID_TYPE
+        call set_errmsg("Tried to set mesh on a non-mesh filter.")
+      end select
+    end if
+  end function openmc_meshsurface_filter_get_mesh
+
+
   function openmc_meshsurface_filter_set_mesh(index, index_mesh) result(err) bind(C)
     ! Set the mesh for a mesh surface filter
     integer(C_INT32_T), value, intent(in) :: index
@@ -304,30 +322,22 @@ contains
 
     integer :: n_dim
 
-    err = 0
-    if (index >= 1 .and. index <= n_filters) then
-      if (allocated(filters(index) % obj)) then
-        select type (f => filters(index) % obj)
-        type is (MeshSurfaceFilter)
-          if (index_mesh >= 1 .and. index_mesh <= n_meshes) then
-            f % mesh = index_mesh
-            n_dim = meshes(index_mesh) % n_dimension
-            f % n_bins = 4*n_dim*product(meshes(index_mesh) % dimension)
-          else
-            err = E_OUT_OF_BOUNDS
-            call set_errmsg("Index in 'meshes' array is out of bounds.")
-          end if
-        class default
-          err = E_INVALID_TYPE
-          call set_errmsg("Tried to set mesh on a non-mesh filter.")
-        end select
-      else
-        err = E_ALLOCATE
-        call set_errmsg("Filter type has not been set yet.")
-      end if
-    else
-      err = E_OUT_OF_BOUNDS
-      call set_errmsg("Index in filters array out of bounds.")
+    err = verify_filter(index)
+    if (err == 0) then
+      select type (f => filters(index) % obj)
+      type is (MeshSurfaceFilter)
+        if (index_mesh >= 1 .and. index_mesh <= n_meshes) then
+          f % mesh = index_mesh
+          n_dim = meshes(index_mesh) % n_dimension
+          f % n_bins = 4*n_dim*product(meshes(index_mesh) % dimension)
+        else
+          err = E_OUT_OF_BOUNDS
+          call set_errmsg("Index in 'meshes' array is out of bounds.")
+        end if
+      class default
+        err = E_INVALID_TYPE
+        call set_errmsg("Tried to set mesh on a non-mesh filter.")
+      end select
     end if
   end function openmc_meshsurface_filter_set_mesh
 
diff --git a/src/tallies/tally_filter_mu.F90 b/src/tallies/tally_filter_mu.F90
index c949289b66..7f8bde9238 100644
--- a/src/tallies/tally_filter_mu.F90
+++ b/src/tallies/tally_filter_mu.F90
@@ -2,8 +2,6 @@ module tally_filter_mu
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5
-
   use algorithm,          only: binary_search
   use constants,          only: ONE, TWO, MAX_LINE_LEN, NO_BIN_FOUND
   use error,              only: fatal_error
diff --git a/src/tallies/tally_filter_polar.F90 b/src/tallies/tally_filter_polar.F90
index 89815c1028..7cbb55f8b4 100644
--- a/src/tallies/tally_filter_polar.F90
+++ b/src/tallies/tally_filter_polar.F90
@@ -2,8 +2,6 @@ module tally_filter_polar
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5
-
   use algorithm,          only: binary_search
   use constants
   use error,              only: fatal_error
diff --git a/src/tallies/tally_filter_sph_harm.F90 b/src/tallies/tally_filter_sph_harm.F90
index 5c47c2c71f..bc95baaa3c 100644
--- a/src/tallies/tally_filter_sph_harm.F90
+++ b/src/tallies/tally_filter_sph_harm.F90
@@ -2,8 +2,6 @@ module tally_filter_sph_harm
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5, only: HID_T
-
   use constants
   use error
   use hdf5_interface
diff --git a/src/tallies/tally_filter_sptl_legendre.F90 b/src/tallies/tally_filter_sptl_legendre.F90
index d6594d05a9..83db9a864e 100644
--- a/src/tallies/tally_filter_sptl_legendre.F90
+++ b/src/tallies/tally_filter_sptl_legendre.F90
@@ -2,8 +2,6 @@ module tally_filter_sptl_legendre
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5, only: HID_T
-
   use constants
   use error
   use hdf5_interface
diff --git a/src/tallies/tally_filter_surface.F90 b/src/tallies/tally_filter_surface.F90
index df3bf36031..ec642bc8de 100644
--- a/src/tallies/tally_filter_surface.F90
+++ b/src/tallies/tally_filter_surface.F90
@@ -2,8 +2,6 @@ module tally_filter_surface
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5
-
   use constants,          only: ONE, MAX_LINE_LEN
   use dict_header,        only: EMPTY
   use error,              only: fatal_error
diff --git a/src/tallies/tally_filter_universe.F90 b/src/tallies/tally_filter_universe.F90
index 742152232d..0dc5aefe14 100644
--- a/src/tallies/tally_filter_universe.F90
+++ b/src/tallies/tally_filter_universe.F90
@@ -2,8 +2,6 @@ module tally_filter_universe
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5
-
   use constants,          only: ONE, MAX_LINE_LEN
   use dict_header,        only: EMPTY
   use error,              only: fatal_error
diff --git a/src/tallies/tally_filter_zernike.F90 b/src/tallies/tally_filter_zernike.F90
index e96a53a7f9..fa205b1808 100644
--- a/src/tallies/tally_filter_zernike.F90
+++ b/src/tallies/tally_filter_zernike.F90
@@ -2,8 +2,6 @@ module tally_filter_zernike
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5, only: HID_T
-
   use constants
   use error
   use hdf5_interface
diff --git a/src/tallies/tally_header.F90 b/src/tallies/tally_header.F90
index 02a578d7e0..ee44685924 100644
--- a/src/tallies/tally_header.F90
+++ b/src/tallies/tally_header.F90
@@ -2,11 +2,10 @@ module tally_header
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5
-
   use constants
   use error
   use dict_header,         only: DictIntInt
+  use hdf5_interface,      only: HID_T, HSIZE_T
   use message_passing,     only: n_procs
   use nuclide_header,      only: nuclide_dict
   use settings,            only: reduce_tallies, run_mode
@@ -24,12 +23,14 @@ module tally_header
   public :: openmc_extend_tallies
   public :: openmc_get_tally_index
   public :: openmc_global_tallies
+  public :: openmc_tally_get_active
   public :: openmc_tally_get_id
   public :: openmc_tally_get_filters
   public :: openmc_tally_get_n_realizations
   public :: openmc_tally_get_nuclides
   public :: openmc_tally_get_scores
   public :: openmc_tally_results
+  public :: openmc_tally_set_active
   public :: openmc_tally_set_filters
   public :: openmc_tally_set_id
   public :: openmc_tally_set_nuclides
@@ -72,13 +73,8 @@ module tally_header
     logical              :: all_nuclides = .false.
 
     ! Values to score, e.g. flux, absorption, etc.
-    ! scat_order is the scattering order for each score.
-    ! It is to be 0 if the scattering order is 0, or if the score is not a
-    ! scattering response.
     integer              :: n_score_bins = 0
     integer, allocatable :: score_bins(:)
-    integer, allocatable :: moment_order(:)
-    integer              :: n_user_score_bins = 0
 
     ! Results for each bin -- the first dimension of the array is for scores
     ! (e.g. flux, total reaction rate, fission reaction rate, etc.) and the
@@ -198,67 +194,42 @@ contains
     class(TallyObject), intent(in) :: this
     integer(HID_T),     intent(in) :: group_id
 
-    integer :: hdf5_err
-    integer(HID_T) :: dset, dspace
-    integer(HID_T) :: memspace
-    integer(HSIZE_T) :: dims(3)
-    integer(HSIZE_T) :: dims_slab(3)
-    integer(HSIZE_T) :: offset(3) = [1,0,0]
+    integer(HSIZE_T) :: n_filter, n_score
+    interface
+      subroutine write_tally_results(group_id, n_filter, n_score, results) &
+           bind(C)
+        import HID_T, HSIZE_T, C_DOUBLE
+        integer(HID_T), value :: group_id
+        integer(HSIZE_T), value :: n_filter
+        integer(HSIZE_T), value :: n_score
+        real(C_DOUBLE), intent(in) :: results(*)
+      end subroutine write_tally_results
+    end interface
 
-    ! Create file dataspace
-    dims_slab(:) = shape(this % results)
-    dims_slab(1) = 2
-    call h5screate_simple_f(3, dims_slab, dspace, hdf5_err)
-
-    ! Create memory dataspace that contains only SUM and SUM_SQ values
-    dims(:) = shape(this % results)
-    call h5screate_simple_f(3, dims, memspace, hdf5_err)
-    call h5sselect_hyperslab_f(memspace, H5S_SELECT_SET_F, offset, dims_slab, &
-         hdf5_err)
-
-    ! Create and write to dataset
-    call h5dcreate_f(group_id, "results", H5T_NATIVE_DOUBLE, dspace, dset, &
-         hdf5_err)
-    call h5dwrite_f(dset, H5T_NATIVE_DOUBLE, this % results, dims_slab, &
-         hdf5_err, mem_space_id=memspace)
-
-    ! Close identifiers
-    call h5dclose_f(dset, hdf5_err)
-    call h5sclose_f(memspace, hdf5_err)
-    call h5sclose_f(dspace, hdf5_err)
+    n_filter = size(this % results, 3)
+    n_score = size(this % results, 2)
+    call write_tally_results(group_id, n_filter, n_score, this % results)
   end subroutine tally_write_results_hdf5
 
   subroutine tally_read_results_hdf5(this, group_id)
     class(TallyObject), intent(inout) :: this
     integer(HID_T),     intent(in) :: group_id
 
-    integer :: hdf5_err
-    integer(HID_T) :: dset, dspace
-    integer(HID_T) :: memspace
-    integer(HSIZE_T) :: dims(3)
-    integer(HSIZE_T) :: dims_slab(3)
-    integer(HSIZE_T) :: offset(3) = [1,0,0]
+    integer(HSIZE_T) :: n_filter, n_score
+    interface
+      subroutine read_tally_results(group_id, n_filter, n_score, results) &
+           bind(C)
+        import HID_T, HSIZE_T, C_DOUBLE
+        integer(HID_T), value :: group_id
+        integer(HSIZE_T), value :: n_filter
+        integer(HSIZE_T), value :: n_score
+        real(C_DOUBLE), intent(out) :: results(*)
+      end subroutine read_tally_results
+    end interface
 
-    ! Create file dataspace
-    dims_slab(:) = shape(this % results)
-    dims_slab(1) = 2
-    call h5screate_simple_f(3, dims_slab, dspace, hdf5_err)
-
-    ! Create memory dataspace that contains only SUM and SUM_SQ values
-    dims(:) = shape(this % results)
-    call h5screate_simple_f(3, dims, memspace, hdf5_err)
-    call h5sselect_hyperslab_f(memspace, H5S_SELECT_SET_F, offset, dims_slab, &
-         hdf5_err)
-
-    ! Create and write to dataset
-    call h5dopen_f(group_id, "results", dset, hdf5_err)
-    call h5dread_f(dset, H5T_NATIVE_DOUBLE, this % results, dims_slab, &
-         hdf5_err, mem_space_id=memspace)
-
-    ! Close identifiers
-    call h5dclose_f(dset, hdf5_err)
-    call h5sclose_f(memspace, hdf5_err)
-    call h5sclose_f(dspace, hdf5_err)
+    n_filter = size(this % results, 3)
+    n_score = size(this % results, 2)
+    call read_tally_results(group_id, n_filter, n_score, this % results)
   end subroutine tally_read_results_hdf5
 
 !===============================================================================
@@ -512,6 +483,22 @@ contains
   end function openmc_global_tallies
 
 
+  function openmc_tally_get_active(index, active) result(err) bind(C)
+    ! Return whether a tally is active
+    integer(C_INT32_T), value    :: index
+    logical(C_BOOL), intent(out) :: active
+    integer(C_INT) :: err
+
+    if (index >= 1 .and. index <= size(tallies)) then
+      active = tallies(index) % obj % active
+      err = 0
+    else
+      err = E_OUT_OF_BOUNDS
+      call set_errmsg('Index in tallies array is out of bounds.')
+    end if
+  end function openmc_tally_get_active
+
+
   function openmc_tally_get_id(index, id) result(err) bind(C)
     ! Return the ID of a tally
     integer(C_INT32_T), value       :: index
@@ -667,6 +654,27 @@ contains
   end function openmc_tally_set_filters
 
 
+  function openmc_tally_set_active(index, active) result(err) bind(C)
+    ! Set the ID of a tally
+    integer(C_INT32_T), value, intent(in) :: index
+    logical(C_BOOL),    value, intent(in) :: active
+    integer(C_INT) :: err
+
+    if (index >= 1 .and. index <= n_tallies) then
+      if (allocated(tallies(index) % obj)) then
+        tallies(index) % obj % active = active
+        err = 0
+      else
+        err = E_ALLOCATE
+        call set_errmsg("Tally type has not been set yet.")
+      end if
+    else
+      err = E_OUT_OF_BOUNDS
+      call set_errmsg('Index in tallies array is out of bounds.')
+    end if
+  end function openmc_tally_set_active
+
+
   function openmc_tally_set_id(index, id) result(err) bind(C)
     ! Set the ID of a tally
     integer(C_INT32_T), value, intent(in) :: index
@@ -756,7 +764,6 @@ contains
       associate (t => tallies(index) % obj)
         if (allocated(t % score_bins)) deallocate(t % score_bins)
         allocate(t % score_bins(n))
-        t % n_user_score_bins = n
         t % n_score_bins = n
 
         do i = 1, n
diff --git a/src/tallies/trigger.F90 b/src/tallies/trigger.F90
index 7dcb3d71eb..2cb3bf8194 100644
--- a/src/tallies/trigger.F90
+++ b/src/tallies/trigger.F90
@@ -104,8 +104,6 @@ contains
     integer :: s              ! loop index for triggers
     integer :: filter_index   ! index in results array for filters
     integer :: score_index    ! scoring bin index
-    integer :: n_order        ! loop index for moment orders
-    integer :: nm_order       ! loop index for Ynm moment orders
     integer(C_INT) :: err
     real(8) :: uncertainty    ! trigger uncertainty
     real(8) :: std_dev = ZERO ! trigger standard deviation
@@ -187,70 +185,18 @@ contains
               ! Initialize score bin index
               NUCLIDE_LOOP: do n = 1, t % n_nuclide_bins
 
-                select case(t % score_bins(trigger % score_index))
+                call get_trigger_uncertainty(std_dev, rel_err, &
+                     score_index, filter_index, t)
 
-                case (SCORE_SCATTER_PN, SCORE_NU_SCATTER_PN)
-
-                  score_index = score_index - 1
-
-                  do n_order = 0, t % moment_order(trigger % score_index)
-                    score_index = score_index + 1
-
-                    call get_trigger_uncertainty(std_dev, rel_err, &
-                         score_index, filter_index, t)
-
-                    if (trigger % variance < variance) then
-                      trigger % variance = std_dev ** 2
-                    end if
-                    if (trigger % std_dev < std_dev) then
-                      trigger % std_dev = std_dev
-                    end if
-                    if (trigger % rel_err < rel_err) then
-                      trigger % rel_err = rel_err
-                    end if
-
-                  end do
-
-                case (SCORE_SCATTER_YN, SCORE_NU_SCATTER_YN, SCORE_FLUX_YN, &
-                     SCORE_TOTAL_YN)
-
-                  score_index = score_index - 1
-
-                  do n_order = 0, t % moment_order(trigger % score_index)
-                    do nm_order = -n_order, n_order
-                      score_index = score_index + 1
-
-                      call get_trigger_uncertainty(std_dev, rel_err, &
-                             score_index, filter_index, t)
-
-                      if (trigger % variance < variance) then
-                        trigger % variance = std_dev ** 2
-                      end if
-                      if (trigger % std_dev < std_dev) then
-                        trigger % std_dev = std_dev
-                      end if
-                      if (trigger % rel_err < rel_err) then
-                        trigger % rel_err = rel_err
-                      end if
-
-                    end do
-                  end do
-
-                case default
-                  call get_trigger_uncertainty(std_dev, rel_err, &
-                       score_index, filter_index, t)
-
-                  if (trigger % variance < variance) then
-                    trigger % variance = std_dev ** 2
-                  end if
-                  if (trigger % std_dev < std_dev) then
-                    trigger % std_dev = std_dev
-                  end if
-                  if (trigger % rel_err < rel_err) then
-                    trigger % rel_err = rel_err
-                  end if
-
-                end select
+                if (trigger % variance < variance) then
+                  trigger % variance = std_dev ** 2
+                end if
+                if (trigger % std_dev < std_dev) then
+                  trigger % std_dev = std_dev
+                end if
+                if (trigger % rel_err < rel_err) then
+                  trigger % rel_err = rel_err
+                end if
 
                 select case (t % triggers(s) % type)
                 case(VARIANCE)
diff --git a/src/track_output.F90 b/src/track_output.F90
index 244bf182e0..95af9e6b0f 100644
--- a/src/track_output.F90
+++ b/src/track_output.F90
@@ -5,8 +5,6 @@
 
 module track_output
 
-  use hdf5
-
   use constants
   use hdf5_interface
   use particle_header, only: Particle
@@ -115,7 +113,7 @@ contains
     end do
 
 !$omp critical (FinalizeParticleTrack)
-    file_id = file_create(fname)
+    file_id = file_open(fname, 'w')
     call write_attribute(file_id, 'filetype', 'track')
     call write_attribute(file_id, 'version', VERSION_TRACK)
     call write_attribute(file_id, 'n_particles', n_particle_tracks)
diff --git a/src/urr_header.F90 b/src/urr_header.F90
index cc41d43ccc..0ec9e89deb 100644
--- a/src/urr_header.F90
+++ b/src/urr_header.F90
@@ -1,8 +1,7 @@
 module urr_header
 
-  use hdf5,           only: HID_T, HSIZE_T
   use hdf5_interface, only: read_attribute, open_dataset, read_dataset, &
-       close_dataset, get_shape
+       close_dataset, get_shape, HID_T, HSIZE_T
 
   implicit none
 
diff --git a/src/volume_calc.F90 b/src/volume_calc.F90
index e374f21064..8264797a7a 100644
--- a/src/volume_calc.F90
+++ b/src/volume_calc.F90
@@ -2,7 +2,6 @@ module volume_calc
 
   use, intrinsic :: ISO_C_BINDING
 
-  use hdf5, only: HID_T
 #ifdef _OPENMP
   use omp_lib
 #endif
@@ -11,8 +10,8 @@ module volume_calc
   use error,        only: write_message
   use geometry,     only: find_cell
   use geometry_header, only: universes, cells
-  use hdf5_interface, only: file_create, file_close, write_attribute, &
-       create_group, close_group, write_dataset
+  use hdf5_interface, only: file_open, file_close, write_attribute, &
+       create_group, close_group, write_dataset, HID_T
   use output,       only: header, time_stamp
   use material_header, only: materials
   use message_passing
@@ -37,9 +36,10 @@ contains
 ! the user has specified and writes results to HDF5 files
 !===============================================================================
 
-  subroutine openmc_calculate_volumes() bind(C)
+  function openmc_calculate_volumes() result(err) bind(C)
     integer :: i, j
     integer :: n
+    integer(C_INT) :: err
     real(8), allocatable :: volume(:,:)  ! volume mean/stdev in each domain
     character(10) :: domain_type
     character(MAX_FILE_LEN) :: filename  ! filename for HDF5 file
@@ -100,7 +100,8 @@ contains
       call write_message("Elapsed time: " // trim(to_str(time_volume % &
            get_value())) // " s", 6)
     end if
-  end subroutine openmc_calculate_volumes
+    err = 0
+  end function openmc_calculate_volumes
 
 !===============================================================================
 ! GET_VOLUME stochastically determines the volume of a set of domains along with
@@ -435,7 +436,7 @@ contains
     character(MAX_WORD_LEN), allocatable :: nucnames(:) ! names of nuclides
 
     ! Create HDF5 file
-    file_id = file_create(filename)
+    file_id = file_open(filename, 'w')
 
     ! Write header info
     call write_attribute(file_id, "filetype", "volume")
diff --git a/src/xml_interface.cpp b/src/xml_interface.cpp
new file mode 100644
index 0000000000..aea1c2c17b
--- /dev/null
+++ b/src/xml_interface.cpp
@@ -0,0 +1,40 @@
+#include "xml_interface.h"
+
+#include <algorithm>  // for std::transform
+#include <sstream>
+#include <string>
+
+#include "pugixml/pugixml.hpp"
+#include "error.h"
+
+
+namespace openmc {
+
+std::string
+get_node_value(pugi::xml_node node, const char *name)
+{
+  // Search for either an attribute or child tag and get the data as a char*.
+  const pugi::char_t *value_char;
+  if (node.attribute(name)) {
+    value_char = node.attribute(name).value();
+  } else if (node.child(name)) {
+    value_char = node.child_value(name);
+  } else {
+    std::stringstream err_msg;
+    err_msg << "Node \"" << name << "\" is not a member of the \""
+            << node.name() << "\" XML node";
+    fatal_error(err_msg);
+  }
+
+  // Convert to lowercase string.
+  std::string value(value_char);
+  std::transform(value.begin(), value.end(), value.begin(), ::tolower);
+
+  // Remove whitespace.
+  value.erase(0, value.find_first_not_of(" \t\r\n"));
+  value.erase(value.find_last_not_of(" \t\r\n") + 1);
+
+  return value;
+}
+
+} // namespace openmc
diff --git a/src/xml_interface.h b/src/xml_interface.h
index 778497562b..52aa6003f4 100644
--- a/src/xml_interface.h
+++ b/src/xml_interface.h
@@ -1,8 +1,6 @@
 #ifndef XML_INTERFACE_H
 #define XML_INTERFACE_H
 
-#include <algorithm>  // for std::transform
-#include <sstream>
 #include <string>
 
 #include "pugixml/pugixml.hpp"
@@ -10,39 +8,13 @@
 
 namespace openmc {
 
-bool
+inline bool
 check_for_node(pugi::xml_node node, const char *name)
 {
   return node.attribute(name) || node.child(name);
 }
 
-
-std::string
-get_node_value(pugi::xml_node node, const char *name)
-{
-  // Search for either an attribute or child tag and get the data as a char*.
-  const pugi::char_t *value_char;
-  if (node.attribute(name)) {
-    value_char = node.attribute(name).value();
-  } else if (node.child(name)) {
-    value_char = node.child_value(name);
-  } else {
-    std::stringstream err_msg;
-    err_msg << "Node \"" << name << "\" is not a member of the \""
-            << node.name() << "\" XML node";
-    fatal_error(err_msg);
-  }
-
-  // Convert to lowercase string.
-  std::string value(value_char);
-  std::transform(value.begin(), value.end(), value.begin(), ::tolower);
-
-  // Remove whitespace.
-  value.erase(0, value.find_first_not_of(" \t\r\n"));
-  value.erase(value.find_last_not_of(" \t\r\n") + 1);
-
-  return value;
-}
+std::string get_node_value(pugi::xml_node node, const char *name);
 
 } // namespace openmc
 #endif // XML_INTERFACE_H
diff --git a/tests/regression_tests/cmfd_feed/results_true.dat b/tests/regression_tests/cmfd_feed/results_true.dat
index 5e6750fe6b..aba219ba83 100644
--- a/tests/regression_tests/cmfd_feed/results_true.dat
+++ b/tests/regression_tests/cmfd_feed/results_true.dat
@@ -26,62 +26,42 @@ tally 2:
 2.667071E+01
 1.600292E+01
 1.293670E+01
-2.252427E+00
-2.605738E-01
 4.268506E+01
 9.161216E+01
 3.022909E+01
 4.598915E+01
-3.873926E+00
-7.615035E-01
 5.680399E+01
 1.623879E+02
 4.033805E+01
 8.196263E+01
-5.280610E+00
-1.414008E+00
 6.814742E+01
 2.331778E+02
 4.851618E+01
 1.182330E+02
-6.261805E+00
-1.983205E+00
 7.392923E+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
 4.371848E+01
 9.592893E+01
 3.106403E+01
 4.844308E+01
-3.818076E+00
-7.509442E-01
 2.338413E+01
 2.752467E+01
 1.636713E+01
 1.347770E+01
-2.219928E+00
-2.515492E-01
 tally 3:
 1.538752E+01
 1.196478E+01
@@ -364,6 +344,47 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
+tally 5:
+1.538652E+01
+1.196332E+01
+2.252427E+00
+2.605738E-01
+2.911344E+01
+4.267319E+01
+3.873926E+00
+7.615035E-01
+3.884516E+01
+7.604619E+01
+5.280610E+00
+1.414008E+00
+4.672391E+01
+1.096625E+02
+6.261805E+00
+1.983205E+00
+5.058447E+01
+1.283588E+02
+6.733810E+00
+2.278242E+00
+5.033589E+01
+1.271898E+02
+6.714658E+00
+2.273652E+00
+4.687563E+01
+1.102719E+02
+6.215002E+00
+1.956978E+00
+4.013134E+01
+8.075062E+01
+5.253064E+00
+1.396224E+00
+2.996497E+01
+4.508840E+01
+3.818076E+00
+7.509442E-01
+1.574994E+01
+1.248291E+01
+2.219928E+00
+2.515492E-01
 cmfd indices
 1.000000E+01
 1.000000E+00
diff --git a/tests/regression_tests/cmfd_nofeed/results_true.dat b/tests/regression_tests/cmfd_nofeed/results_true.dat
index f00966cf8f..1636af364e 100644
--- a/tests/regression_tests/cmfd_nofeed/results_true.dat
+++ b/tests/regression_tests/cmfd_nofeed/results_true.dat
@@ -26,62 +26,42 @@ tally 2:
 2.726751E+01
 1.624000E+01
 1.334217E+01
-2.239367E+00
-2.607315E-01
 4.184801E+01
 8.813954E+01
 2.955600E+01
 4.401685E+01
-3.937924E+00
-7.877545E-01
 5.620224E+01
 1.589242E+02
 3.981400E+01
 7.983679E+01
-5.183337E+00
-1.367303E+00
 6.834724E+01
 2.342245E+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
 6.907776E+01
 2.396752E+02
 4.918500E+01
 1.215909E+02
-6.400076E+00
-2.073871E+00
 5.783261E+01
 1.680814E+02
 4.107800E+01
 8.480751E+01
-5.269220E+00
-1.404986E+00
 4.120212E+01
 8.516647E+01
 2.930300E+01
 4.310295E+01
-3.730803E+00
-7.015777E-01
 2.228419E+01
 2.504034E+01
 1.554100E+01
 1.217931E+01
-2.126451E+00
-2.315275E-01
 tally 3:
 1.561100E+01
 1.233967E+01
@@ -364,6 +344,47 @@ tally 4:
 0.000000E+00
 0.000000E+00
 0.000000E+00
+tally 5:
+1.560800E+01
+1.233482E+01
+2.239367E+00
+2.607315E-01
+2.847600E+01
+4.087518E+01
+3.937924E+00
+7.877545E-01
+3.833600E+01
+7.405661E+01
+5.183337E+00
+1.367303E+00
+4.686600E+01
+1.101919E+02
+6.288549E+00
+1.997858E+00
+5.154500E+01
+1.331141E+02
+6.691123E+00
+2.252645E+00
+5.067000E+01
+1.288871E+02
+6.846095E+00
+2.360683E+00
+4.737700E+01
+1.128379E+02
+6.400076E+00
+2.073871E+00
+3.952800E+01
+7.854943E+01
+5.269220E+00
+1.404986E+00
+2.818600E+01
+3.989536E+01
+3.730803E+00
+7.015777E-01
+1.497300E+01
+1.131008E+01
+2.126451E+00
+2.315275E-01
 cmfd indices
 1.000000E+01
 1.000000E+00
diff --git a/tests/regression_tests/mgxs_library_ce_to_mg/inputs_true.dat b/tests/regression_tests/mgxs_library_ce_to_mg/inputs_true.dat
index 70996fe378..bc5c4b2d46 100644
--- a/tests/regression_tests/mgxs_library_ce_to_mg/inputs_true.dat
+++ b/tests/regression_tests/mgxs_library_ce_to_mg/inputs_true.dat
@@ -59,10 +59,13 @@
   <filter id="7" type="energyout">
     <bins>0.0 0.625 20000000.0</bins>
   </filter>
-  <filter id="14" type="material">
+  <filter id="11" type="legendre">
+    <order>3</order>
+  </filter>
+  <filter id="15" type="material">
     <bins>2</bins>
   </filter>
-  <filter id="27" type="material">
+  <filter id="29" type="material">
     <bins>3</bins>
   </filter>
   <tally id="1">
@@ -108,9 +111,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="8">
-    <filters>1 2 7</filters>
+    <filters>1 2 7 11</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-P3</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="9">
@@ -126,121 +129,121 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="11">
-    <filters>14 2</filters>
+    <filters>15 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="12">
-    <filters>14 2</filters>
+    <filters>15 2</filters>
     <nuclides>total</nuclides>
     <scores>total</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="13">
-    <filters>14 2</filters>
+    <filters>15 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="14">
-    <filters>14 2</filters>
+    <filters>15 2</filters>
     <nuclides>total</nuclides>
     <scores>absorption</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="15">
-    <filters>14 2</filters>
+    <filters>15 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="16">
-    <filters>14 2 7</filters>
+    <filters>15 2 7</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="17">
-    <filters>14 2</filters>
+    <filters>15 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="18">
-    <filters>14 2 7</filters>
+    <filters>15 2 7 11</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-P3</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="19">
-    <filters>14 2 7</filters>
+    <filters>15 2 7</filters>
     <nuclides>total</nuclides>
     <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="20">
-    <filters>14 2 7</filters>
+    <filters>15 2 7</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="21">
-    <filters>27 2</filters>
+    <filters>29 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="22">
-    <filters>27 2</filters>
+    <filters>29 2</filters>
     <nuclides>total</nuclides>
     <scores>total</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="23">
-    <filters>27 2</filters>
+    <filters>29 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="24">
-    <filters>27 2</filters>
+    <filters>29 2</filters>
     <nuclides>total</nuclides>
     <scores>absorption</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="25">
-    <filters>27 2</filters>
+    <filters>29 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="26">
-    <filters>27 2 7</filters>
+    <filters>29 2 7</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="27">
-    <filters>27 2</filters>
+    <filters>29 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="28">
-    <filters>27 2 7</filters>
+    <filters>29 2 7 11</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-P3</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="29">
-    <filters>27 2 7</filters>
+    <filters>29 2 7</filters>
     <nuclides>total</nuclides>
     <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="30">
-    <filters>27 2 7</filters>
+    <filters>29 2 7</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
     <estimator>analog</estimator>
diff --git a/tests/regression_tests/mgxs_library_condense/inputs_true.dat b/tests/regression_tests/mgxs_library_condense/inputs_true.dat
index ef6c4c5206..5aedd383d0 100644
--- a/tests/regression_tests/mgxs_library_condense/inputs_true.dat
+++ b/tests/regression_tests/mgxs_library_condense/inputs_true.dat
@@ -59,16 +59,22 @@
   <filter id="5" type="energyout">
     <bins>0.0 0.625 20000000.0</bins>
   </filter>
-  <filter id="46" type="energy">
+  <filter id="6" type="legendre">
+    <order>1</order>
+  </filter>
+  <filter id="28" type="legendre">
+    <order>3</order>
+  </filter>
+  <filter id="52" type="energy">
     <bins>0.0 20000000.0</bins>
   </filter>
-  <filter id="59" type="delayedgroup">
+  <filter id="65" type="delayedgroup">
     <bins>1 2 3 4 5 6</bins>
   </filter>
-  <filter id="74" type="material">
+  <filter id="80" type="material">
     <bins>2</bins>
   </filter>
-  <filter id="147" type="material">
+  <filter id="159" type="material">
     <bins>3</bins>
   </filter>
   <tally id="1">
@@ -102,9 +108,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="6">
-    <filters>1 5</filters>
+    <filters>1 5 6</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-1</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="7">
@@ -126,9 +132,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="10">
-    <filters>1 5</filters>
+    <filters>1 5 6</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-1</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="11">
@@ -228,9 +234,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="27">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="28">
@@ -240,9 +246,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="29">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-P3</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="30">
@@ -288,9 +294,9 @@
     <estimator>tracklength</estimator>
   </tally>
   <tally id="37">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="38">
@@ -306,883 +312,865 @@
     <estimator>tracklength</estimator>
   </tally>
   <tally id="40">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="41">
     <filters>1 2 5</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-0</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="42">
-    <filters>1 2 5</filters>
+    <filters>1 52</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-0</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="43">
-    <filters>1 46</filters>
+    <filters>1 5</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="44">
-    <filters>1 5</filters>
+    <filters>1 52</filters>
     <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="45">
-    <filters>1 46</filters>
+    <filters>1 5</filters>
     <nuclides>total</nuclides>
     <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="46">
-    <filters>1 5</filters>
+    <filters>1 2</filters>
     <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="47">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <scores>inverse-velocity</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="48">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
-    <scores>inverse-velocity</scores>
+    <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="49">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="50">
-    <filters>1 2</filters>
-    <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="51">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="52">
+  <tally id="51">
     <filters>1 2 5</filters>
     <nuclides>total</nuclides>
     <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="53">
+  <tally id="52">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="54">
-    <filters>1 59 2</filters>
+  <tally id="53">
+    <filters>1 65 2</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="54">
+    <filters>1 65 52</filters>
+    <nuclides>total</nuclides>
+    <scores>delayed-nu-fission</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="55">
-    <filters>1 59 46</filters>
+    <filters>1 65 5</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="56">
-    <filters>1 59 5</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="57">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="57">
+    <filters>1 65 2</filters>
+    <nuclides>total</nuclides>
+    <scores>delayed-nu-fission</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="58">
-    <filters>1 59 2</filters>
+    <filters>1 65 2</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="59">
-    <filters>1 59 2</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="60">
-    <filters>1 59 2</filters>
+    <filters>1 65 2</filters>
     <nuclides>total</nuclides>
     <scores>decay-rate</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="61">
+  <tally id="60">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="62">
-    <filters>1 59 2 5</filters>
+  <tally id="61">
+    <filters>1 65 2 5</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="63">
-    <filters>74 2</filters>
+  <tally id="62">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="63">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>total</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="64">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>total</scores>
+    <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="65">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <scores>total</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="66">
-    <filters>74 2</filters>
-    <nuclides>total</nuclides>
-    <scores>total</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="67">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="67">
+    <filters>80 5 6</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="68">
-    <filters>74 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter-1</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="69">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="70">
-    <filters>74 2</filters>
+  <tally id="69">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>total</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="71">
-    <filters>74 2</filters>
+  <tally id="70">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="71">
+    <filters>80 5 6</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="72">
-    <filters>74 5</filters>
-    <nuclides>total</nuclides>
-    <scores>nu-scatter-1</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="73">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="73">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>absorption</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="74">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>absorption</scores>
+    <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="75">
-    <filters>74 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="76">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>absorption</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="77">
-    <filters>74 2</filters>
+  <tally id="76">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>fission</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="77">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="78">
-    <filters>74 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="79">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="80">
-    <filters>74 2</filters>
+  <tally id="79">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="81">
-    <filters>74 2</filters>
+  <tally id="80">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="82">
-    <filters>74 2</filters>
+  <tally id="81">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="83">
-    <filters>74 2</filters>
+  <tally id="82">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>kappa-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="84">
-    <filters>74 2</filters>
+  <tally id="83">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="84">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="85">
-    <filters>74 2</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="86">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="86">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="87">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter</scores>
+    <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="88">
-    <filters>74 2</filters>
+    <filters>80 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="89">
-    <filters>74 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="90">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="91">
-    <filters>74 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>nu-scatter-P3</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="92">
-    <filters>74 2 5</filters>
+  <tally id="90">
+    <filters>80 2 5 28</filters>
     <nuclides>total</nuclides>
     <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="93">
-    <filters>74 2 5</filters>
+  <tally id="91">
+    <filters>80 2 5</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="92">
+    <filters>80 2 5</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="93">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="94">
-    <filters>74 2</filters>
+    <filters>80 2 5</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="95">
-    <filters>74 2 5</filters>
+    <filters>80 2 5</filters>
     <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="96">
-    <filters>74 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="97">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="97">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="98">
-    <filters>74 2</filters>
+    <filters>80 2 5 28</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="99">
-    <filters>74 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="100">
-    <filters>74 2</filters>
+  <tally id="99">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="101">
-    <filters>74 2</filters>
+  <tally id="100">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="102">
-    <filters>74 2 5</filters>
+  <tally id="101">
+    <filters>80 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="102">
+    <filters>80 2 5</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="103">
-    <filters>74 2 5</filters>
+    <filters>80 52</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-0</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="104">
-    <filters>74 2 5</filters>
+    <filters>80 5</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-0</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="105">
-    <filters>74 46</filters>
+    <filters>80 52</filters>
     <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="106">
-    <filters>74 5</filters>
+    <filters>80 5</filters>
     <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="107">
-    <filters>74 46</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="108">
-    <filters>74 5</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
+    <scores>inverse-velocity</scores>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="109">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="110">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>inverse-velocity</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="111">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
-    <estimator>tracklength</estimator>
+    <estimator>analog</estimator>
   </tally>
   <tally id="112">
-    <filters>74 2</filters>
+    <filters>80 2 5</filters>
     <nuclides>total</nuclides>
     <scores>prompt-nu-fission</scores>
-    <estimator>tracklength</estimator>
+    <estimator>analog</estimator>
   </tally>
   <tally id="113">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
-    <estimator>analog</estimator>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="114">
-    <filters>74 2 5</filters>
+    <filters>80 65 2</filters>
     <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
+    <scores>delayed-nu-fission</scores>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="115">
-    <filters>74 2</filters>
+    <filters>80 65 52</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
+    <scores>delayed-nu-fission</scores>
+    <estimator>analog</estimator>
   </tally>
   <tally id="116">
-    <filters>74 59 2</filters>
+    <filters>80 65 5</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
-    <estimator>tracklength</estimator>
+    <estimator>analog</estimator>
   </tally>
   <tally id="117">
-    <filters>74 59 46</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="118">
-    <filters>74 59 5</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="119">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="118">
+    <filters>80 65 2</filters>
+    <nuclides>total</nuclides>
+    <scores>delayed-nu-fission</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="119">
+    <filters>80 65 2</filters>
+    <nuclides>total</nuclides>
+    <scores>delayed-nu-fission</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="120">
-    <filters>74 59 2</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="121">
-    <filters>74 59 2</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="122">
-    <filters>74 59 2</filters>
+    <filters>80 65 2</filters>
     <nuclides>total</nuclides>
     <scores>decay-rate</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="123">
-    <filters>74 2</filters>
+  <tally id="121">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="124">
-    <filters>74 59 2 5</filters>
+  <tally id="122">
+    <filters>80 65 2 5</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="123">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="124">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>total</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="125">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="126">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>total</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="127">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
-    <estimator>tracklength</estimator>
+    <estimator>analog</estimator>
   </tally>
   <tally id="128">
-    <filters>147 2</filters>
+    <filters>159 5 6</filters>
     <nuclides>total</nuclides>
-    <scores>total</scores>
-    <estimator>tracklength</estimator>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
   </tally>
   <tally id="129">
-    <filters>147 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="130">
-    <filters>147 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter-1</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="131">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="132">
-    <filters>147 2</filters>
+  <tally id="130">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>total</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="133">
-    <filters>147 2</filters>
+  <tally id="131">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="134">
-    <filters>147 5</filters>
+  <tally id="132">
+    <filters>159 5 6</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-1</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="133">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="134">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>absorption</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="135">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="136">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>absorption</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="137">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>fission</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="138">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="138">
-    <filters>147 2</filters>
-    <nuclides>total</nuclides>
-    <scores>absorption</scores>
-    <estimator>tracklength</estimator>
-  </tally>
   <tally id="139">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="140">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="141">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
-    <scores>fission</scores>
+    <scores>nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="142">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="143">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
+    <scores>kappa-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="144">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="145">
-    <filters>147 2</filters>
-    <nuclides>total</nuclides>
-    <scores>kappa-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="146">
-    <filters>147 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="147">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="146">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="147">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="148">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="149">
-    <filters>147 2</filters>
+    <filters>159 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="150">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="151">
-    <filters>147 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="152">
-    <filters>147 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="153">
-    <filters>147 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>nu-scatter-P3</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="154">
-    <filters>147 2 5</filters>
+    <filters>159 2 5 28</filters>
     <nuclides>total</nuclides>
     <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="155">
-    <filters>147 2 5</filters>
+  <tally id="152">
+    <filters>159 2 5</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="153">
+    <filters>159 2 5</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="154">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="155">
+    <filters>159 2 5</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-fission</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="156">
-    <filters>147 2</filters>
+    <filters>159 2 5</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="157">
-    <filters>147 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="158">
-    <filters>147 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="159">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="160">
-    <filters>147 2</filters>
+  <tally id="158">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="159">
+    <filters>159 2 5 28</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="160">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="161">
-    <filters>147 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="162">
-    <filters>147 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="163">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="164">
-    <filters>147 2 5</filters>
+  <tally id="162">
+    <filters>159 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="163">
+    <filters>159 2 5</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="164">
+    <filters>159 52</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="165">
-    <filters>147 2 5</filters>
+    <filters>159 5</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-0</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="166">
-    <filters>147 2 5</filters>
+    <filters>159 52</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-0</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="167">
-    <filters>147 46</filters>
+    <filters>159 5</filters>
     <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="168">
-    <filters>147 5</filters>
-    <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="169">
-    <filters>147 46</filters>
-    <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="170">
-    <filters>147 5</filters>
-    <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="171">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="172">
-    <filters>147 2</filters>
+  <tally id="169">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>inverse-velocity</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="173">
-    <filters>147 2</filters>
+  <tally id="170">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="174">
-    <filters>147 2</filters>
+  <tally id="171">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>prompt-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="172">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="173">
+    <filters>159 2 5</filters>
+    <nuclides>total</nuclides>
+    <scores>prompt-nu-fission</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="174">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="175">
-    <filters>147 2</filters>
+    <filters>159 65 2</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>analog</estimator>
+    <scores>delayed-nu-fission</scores>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="176">
-    <filters>147 2 5</filters>
+    <filters>159 65 52</filters>
     <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
+    <scores>delayed-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="177">
-    <filters>147 2</filters>
+    <filters>159 65 5</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
+    <scores>delayed-nu-fission</scores>
+    <estimator>analog</estimator>
   </tally>
   <tally id="178">
-    <filters>147 59 2</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="179">
-    <filters>147 59 46</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="180">
-    <filters>147 59 5</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="181">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="182">
-    <filters>147 59 2</filters>
+  <tally id="179">
+    <filters>159 65 2</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="183">
-    <filters>147 59 2</filters>
+  <tally id="180">
+    <filters>159 65 2</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="184">
-    <filters>147 59 2</filters>
+  <tally id="181">
+    <filters>159 65 2</filters>
     <nuclides>total</nuclides>
     <scores>decay-rate</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="185">
-    <filters>147 2</filters>
+  <tally id="182">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="186">
-    <filters>147 59 2 5</filters>
+  <tally id="183">
+    <filters>159 65 2 5</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>analog</estimator>
diff --git a/tests/regression_tests/mgxs_library_condense/results_true.dat b/tests/regression_tests/mgxs_library_condense/results_true.dat
index 0c9adedb1f..32d3d2e1a5 100644
--- a/tests/regression_tests/mgxs_library_condense/results_true.dat
+++ b/tests/regression_tests/mgxs_library_condense/results_true.dat
@@ -18,32 +18,32 @@
 0         1         1   total  0.388721    0.01783
    material  group in nuclide      mean  std. dev.
 0         1         1   total  0.389304   0.023076
-   material  group in  group out nuclide moment      mean  std. dev.
-0         1         1          1   total     P0  0.389304   0.023146
-1         1         1          1   total     P1  0.046224   0.005907
-2         1         1          1   total     P2  0.017984   0.002883
-3         1         1          1   total     P3  0.006628   0.002457
-   material  group in  group out nuclide moment      mean  std. dev.
-0         1         1          1   total     P0  0.389304   0.023146
-1         1         1          1   total     P1  0.046224   0.005907
-2         1         1          1   total     P2  0.017984   0.002883
-3         1         1          1   total     P3  0.006628   0.002457
+   material  group in  group out legendre nuclide      mean  std. dev.
+0         1         1          1       P0   total  0.389304   0.023146
+1         1         1          1       P1   total  0.046224   0.005907
+2         1         1          1       P2   total  0.017984   0.002883
+3         1         1          1       P3   total  0.006628   0.002457
+   material  group in  group out legendre nuclide      mean  std. dev.
+0         1         1          1       P0   total  0.389304   0.023146
+1         1         1          1       P1   total  0.046224   0.005907
+2         1         1          1       P2   total  0.017984   0.002883
+3         1         1          1       P3   total  0.006628   0.002457
    material  group in  group out nuclide  mean  std. dev.
 0         1         1          1   total   1.0   0.066111
    material  group in  group out nuclide      mean  std. dev.
 0         1         1          1   total  0.085835   0.005592
    material  group in  group out nuclide  mean  std. dev.
 0         1         1          1   total   1.0   0.066111
-   material  group in  group out nuclide moment      mean  std. dev.
-0         1         1          1   total     P0  0.388721   0.031279
-1         1         1          1   total     P1  0.046155   0.006407
-2         1         1          1   total     P2  0.017957   0.003039
-3         1         1          1   total     P3  0.006618   0.002480
-   material  group in  group out nuclide moment      mean  std. dev.
-0         1         1          1   total     P0  0.388721   0.040482
-1         1         1          1   total     P1  0.046155   0.007097
-2         1         1          1   total     P2  0.017957   0.003262
-3         1         1          1   total     P3  0.006618   0.002518
+   material  group in  group out legendre nuclide      mean  std. dev.
+0         1         1          1       P0   total  0.388721   0.031279
+1         1         1          1       P1   total  0.046155   0.006407
+2         1         1          1       P2   total  0.017957   0.003039
+3         1         1          1       P3   total  0.006618   0.002480
+   material  group in  group out legendre nuclide      mean  std. dev.
+0         1         1          1       P0   total  0.388721   0.040482
+1         1         1          1       P1   total  0.046155   0.007097
+2         1         1          1       P2   total  0.017957   0.003262
+3         1         1          1       P3   total  0.006618   0.002518
    material  group out nuclide  mean  std. dev.
 0         1          1   total   1.0   0.046071
    material  group out nuclide  mean  std. dev.
@@ -109,32 +109,32 @@
 0         2         1   total  0.309384   0.013551
    material  group in nuclide      mean  std. dev.
 0         2         1   total  0.307987   0.029308
-   material  group in  group out nuclide moment      mean  std. dev.
-0         2         1          1   total     P0  0.307987   0.029308
-1         2         1          1   total     P1  0.030617   0.007464
-2         2         1          1   total     P2  0.018911   0.004323
-3         2         1          1   total     P3  0.006235   0.003338
-   material  group in  group out nuclide moment      mean  std. dev.
-0         2         1          1   total     P0  0.307987   0.029308
-1         2         1          1   total     P1  0.030617   0.007464
-2         2         1          1   total     P2  0.018911   0.004323
-3         2         1          1   total     P3  0.006235   0.003338
+   material  group in  group out legendre nuclide      mean  std. dev.
+0         2         1          1       P0   total  0.307987   0.029308
+1         2         1          1       P1   total  0.030617   0.007464
+2         2         1          1       P2   total  0.018911   0.004323
+3         2         1          1       P3   total  0.006235   0.003338
+   material  group in  group out legendre nuclide      mean  std. dev.
+0         2         1          1       P0   total  0.307987   0.029308
+1         2         1          1       P1   total  0.030617   0.007464
+2         2         1          1       P2   total  0.018911   0.004323
+3         2         1          1       P3   total  0.006235   0.003338
    material  group in  group out nuclide  mean  std. dev.
 0         2         1          1   total   1.0   0.095039
    material  group in  group out nuclide  mean  std. dev.
 0         2         1          1   total   0.0        0.0
    material  group in  group out nuclide  mean  std. dev.
 0         2         1          1   total   1.0   0.095039
-   material  group in  group out nuclide moment      mean  std. dev.
-0         2         1          1   total     P0  0.309384   0.032376
-1         2         1          1   total     P1  0.030756   0.007617
-2         2         1          1   total     P2  0.018997   0.004420
-3         2         1          1   total     P3  0.006263   0.003364
-   material  group in  group out nuclide moment      mean  std. dev.
-0         2         1          1   total     P0  0.309384   0.043735
-1         2         1          1   total     P1  0.030756   0.008159
-2         2         1          1   total     P2  0.018997   0.004775
-3         2         1          1   total     P3  0.006263   0.003417
+   material  group in  group out legendre nuclide      mean  std. dev.
+0         2         1          1       P0   total  0.309384   0.032376
+1         2         1          1       P1   total  0.030756   0.007617
+2         2         1          1       P2   total  0.018997   0.004420
+3         2         1          1       P3   total  0.006263   0.003364
+   material  group in  group out legendre nuclide      mean  std. dev.
+0         2         1          1       P0   total  0.309384   0.043735
+1         2         1          1       P1   total  0.030756   0.008159
+2         2         1          1       P2   total  0.018997   0.004775
+3         2         1          1       P3   total  0.006263   0.003417
    material  group out nuclide  mean  std. dev.
 0         2          1   total   0.0        0.0
    material  group out nuclide  mean  std. dev.
@@ -200,32 +200,32 @@
 0         3         1   total  0.898938   0.043493
    material  group in nuclide      mean  std. dev.
 0         3         1   total  0.903415   0.043959
-   material  group in  group out nuclide moment      mean  std. dev.
-0         3         1          1   total     P0  0.903415   0.043586
-1         3         1          1   total     P1  0.410417   0.015877
-2         3         1          1   total     P2  0.143301   0.007187
-3         3         1          1   total     P3  0.008739   0.003571
-   material  group in  group out nuclide moment      mean  std. dev.
-0         3         1          1   total     P0  0.903415   0.043586
-1         3         1          1   total     P1  0.410417   0.015877
-2         3         1          1   total     P2  0.143301   0.007187
-3         3         1          1   total     P3  0.008739   0.003571
+   material  group in  group out legendre nuclide      mean  std. dev.
+0         3         1          1       P0   total  0.903415   0.043586
+1         3         1          1       P1   total  0.410417   0.015877
+2         3         1          1       P2   total  0.143301   0.007187
+3         3         1          1       P3   total  0.008739   0.003571
+   material  group in  group out legendre nuclide      mean  std. dev.
+0         3         1          1       P0   total  0.903415   0.043586
+1         3         1          1       P1   total  0.410417   0.015877
+2         3         1          1       P2   total  0.143301   0.007187
+3         3         1          1       P3   total  0.008739   0.003571
    material  group in  group out nuclide  mean  std. dev.
 0         3         1          1   total   1.0   0.056867
    material  group in  group out nuclide  mean  std. dev.
 0         3         1          1   total   0.0        0.0
    material  group in  group out nuclide  mean  std. dev.
 0         3         1          1   total   1.0   0.056867
-   material  group in  group out nuclide moment      mean  std. dev.
-0         3         1          1   total     P0  0.898938   0.067118
-1         3         1          1   total     P1  0.408384   0.028127
-2         3         1          1   total     P2  0.142591   0.010824
-3         3         1          1   total     P3  0.008696   0.003588
-   material  group in  group out nuclide moment      mean  std. dev.
-0         3         1          1   total     P0  0.898938   0.084369
-1         3         1          1   total     P1  0.408384   0.036475
-2         3         1          1   total     P2  0.142591   0.013525
-3         3         1          1   total     P3  0.008696   0.003622
+   material  group in  group out legendre nuclide      mean  std. dev.
+0         3         1          1       P0   total  0.898938   0.067118
+1         3         1          1       P1   total  0.408384   0.028127
+2         3         1          1       P2   total  0.142591   0.010824
+3         3         1          1       P3   total  0.008696   0.003588
+   material  group in  group out legendre nuclide      mean  std. dev.
+0         3         1          1       P0   total  0.898938   0.084369
+1         3         1          1       P1   total  0.408384   0.036475
+2         3         1          1       P2   total  0.142591   0.013525
+3         3         1          1       P3   total  0.008696   0.003622
    material  group out nuclide  mean  std. dev.
 0         3          1   total   0.0        0.0
    material  group out nuclide  mean  std. dev.
diff --git a/tests/regression_tests/mgxs_library_correction/__init__.py b/tests/regression_tests/mgxs_library_correction/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/tests/regression_tests/mgxs_library_correction/inputs_true.dat b/tests/regression_tests/mgxs_library_correction/inputs_true.dat
new file mode 100644
index 0000000000..8c1cd4d165
--- /dev/null
+++ b/tests/regression_tests/mgxs_library_correction/inputs_true.dat
@@ -0,0 +1,344 @@
+<?xml version='1.0' encoding='utf-8'?>
+<geometry>
+  <cell id="1" material="1" name="Fuel" region="-1" universe="0" />
+  <cell id="2" material="2" name="Cladding" region="1 -2" universe="0" />
+  <cell id="3" material="3" name="Water" region="2 3 -4 5 -6" universe="0" />
+  <surface coeffs="0 0 0.39218" id="1" name="Fuel OR" type="z-cylinder" />
+  <surface coeffs="0 0 0.4572" id="2" name="Clad OR" type="z-cylinder" />
+  <surface boundary="reflective" coeffs="-0.63" id="3" name="left" type="x-plane" />
+  <surface boundary="reflective" coeffs="0.63" id="4" name="right" type="x-plane" />
+  <surface boundary="reflective" coeffs="-0.63" id="5" name="bottom" type="y-plane" />
+  <surface boundary="reflective" coeffs="0.63" id="6" name="top" type="y-plane" />
+</geometry>
+<?xml version='1.0' encoding='utf-8'?>
+<materials>
+  <material depletable="true" id="1" name="UO2 (2.4%)">
+    <density units="g/cm3" value="10.29769" />
+    <nuclide ao="4.4843e-06" name="U234" />
+    <nuclide ao="0.00055815" name="U235" />
+    <nuclide ao="0.022408" name="U238" />
+    <nuclide ao="0.045829" name="O16" />
+  </material>
+  <material id="2" name="Zircaloy">
+    <density units="g/cm3" value="6.55" />
+    <nuclide ao="0.021827" name="Zr90" />
+    <nuclide ao="0.00476" name="Zr91" />
+    <nuclide ao="0.0072758" name="Zr92" />
+    <nuclide ao="0.0073734" name="Zr94" />
+    <nuclide ao="0.0011879" name="Zr96" />
+  </material>
+  <material id="3" name="Hot borated water">
+    <density units="g/cm3" value="0.740582" />
+    <nuclide ao="0.049457" name="H1" />
+    <nuclide ao="0.024672" name="O16" />
+    <nuclide ao="8.0042e-06" name="B10" />
+    <nuclide ao="3.2218e-05" name="B11" />
+    <sab name="c_H_in_H2O" />
+  </material>
+</materials>
+<?xml version='1.0' encoding='utf-8'?>
+<settings>
+  <run_mode>eigenvalue</run_mode>
+  <particles>100</particles>
+  <batches>10</batches>
+  <inactive>5</inactive>
+  <source strength="1.0">
+    <space type="fission">
+      <parameters>-0.63 -0.63 -1 0.63 0.63 1</parameters>
+    </space>
+  </source>
+</settings>
+<?xml version='1.0' encoding='utf-8'?>
+<tallies>
+  <filter id="1" type="material">
+    <bins>1</bins>
+  </filter>
+  <filter id="2" type="energy">
+    <bins>0.0 0.625 20000000.0</bins>
+  </filter>
+  <filter id="3" type="energyout">
+    <bins>0.0 0.625 20000000.0</bins>
+  </filter>
+  <filter id="4" type="legendre">
+    <order>1</order>
+  </filter>
+  <filter id="12" type="legendre">
+    <order>0</order>
+  </filter>
+  <filter id="19" type="material">
+    <bins>2</bins>
+  </filter>
+  <filter id="37" type="material">
+    <bins>3</bins>
+  </filter>
+  <tally id="1">
+    <filters>1 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="2">
+    <filters>1 2 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="3">
+    <filters>1 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="4">
+    <filters>1 2 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="5">
+    <filters>1 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="6">
+    <filters>1 2</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="7">
+    <filters>1 2 3 12</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="8">
+    <filters>1 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="9">
+    <filters>1 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="10">
+    <filters>1 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="11">
+    <filters>1 2</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="12">
+    <filters>1 2 3 12</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="13">
+    <filters>1 2 3</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="14">
+    <filters>1 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="15">
+    <filters>1 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="16">
+    <filters>19 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="17">
+    <filters>19 2 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="18">
+    <filters>19 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="19">
+    <filters>19 2 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="20">
+    <filters>19 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="21">
+    <filters>19 2</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="22">
+    <filters>19 2 3 12</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="23">
+    <filters>19 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="24">
+    <filters>19 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="25">
+    <filters>19 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="26">
+    <filters>19 2</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="27">
+    <filters>19 2 3 12</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="28">
+    <filters>19 2 3</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="29">
+    <filters>19 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="30">
+    <filters>19 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="31">
+    <filters>37 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="32">
+    <filters>37 2 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="33">
+    <filters>37 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="34">
+    <filters>37 2 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="35">
+    <filters>37 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="36">
+    <filters>37 2</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="37">
+    <filters>37 2 3 12</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="38">
+    <filters>37 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="39">
+    <filters>37 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="40">
+    <filters>37 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="41">
+    <filters>37 2</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="42">
+    <filters>37 2 3 12</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="43">
+    <filters>37 2 3</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="44">
+    <filters>37 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="45">
+    <filters>37 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+</tallies>
diff --git a/tests/regression_tests/mgxs_library_correction/results_true.dat b/tests/regression_tests/mgxs_library_correction/results_true.dat
new file mode 100644
index 0000000000..cc28320e25
--- /dev/null
+++ b/tests/regression_tests/mgxs_library_correction/results_true.dat
@@ -0,0 +1,60 @@
+   material  group in  group out nuclide      mean  std. dev.
+3         1         1          1   total  0.332466   0.026533
+2         1         1          2   total  0.000989   0.000482
+1         1         2          1   total  0.000925   0.000925
+0         1         2          2   total  0.396146   0.015707
+   material  group in  group out nuclide      mean  std. dev.
+3         1         1          1   total  0.332466   0.026533
+2         1         1          2   total  0.000989   0.000482
+1         1         2          1   total  0.000925   0.000925
+0         1         2          2   total  0.396146   0.015707
+   material  group in  group out nuclide      mean  std. dev.
+3         1         1          1   total  0.334690   0.037288
+2         1         1          2   total  0.000995   0.000489
+1         1         2          1   total  0.000887   0.000889
+0         1         2          2   total  0.379453   0.030118
+   material  group in  group out nuclide      mean  std. dev.
+3         1         1          1   total  0.334690   0.048073
+2         1         1          2   total  0.000995   0.000841
+1         1         2          1   total  0.000887   0.001538
+0         1         2          2   total  0.379453   0.034216
+   material  group in  group out nuclide      mean  std. dev.
+3         2         1          1   total  0.271891   0.032748
+2         2         1          2   total  0.000000   0.000000
+1         2         2          1   total  0.000000   0.000000
+0         2         2          2   total  0.307478   0.047512
+   material  group in  group out nuclide      mean  std. dev.
+3         2         1          1   total  0.271891   0.032748
+2         2         1          2   total  0.000000   0.000000
+1         2         2          1   total  0.000000   0.000000
+0         2         2          2   total  0.307478   0.047512
+   material  group in  group out nuclide      mean  std. dev.
+3         2         1          1   total  0.273933   0.038207
+2         2         1          2   total  0.000000   0.000000
+1         2         2          1   total  0.000000   0.000000
+0         2         2          2   total  0.306635   0.052777
+   material  group in  group out nuclide      mean  std. dev.
+3         2         1          1   total  0.273933   0.051116
+2         2         1          2   total  0.000000   0.000000
+1         2         2          1   total  0.000000   0.000000
+0         2         2          2   total  0.306635   0.067497
+   material  group in  group out nuclide      mean  std. dev.
+3         3         1          1   total  0.258652   0.022596
+2         3         1          2   total  0.031368   0.001728
+1         3         2          1   total  0.000443   0.000445
+0         3         2          2   total  1.482300   0.232582
+   material  group in  group out nuclide      mean  std. dev.
+3         3         1          1   total  0.258652   0.022596
+2         3         1          2   total  0.031368   0.001728
+1         3         2          1   total  0.000443   0.000445
+0         3         2          2   total  1.482300   0.232582
+   material  group in  group out nuclide      mean  std. dev.
+3         3         1          1   total  0.251610   0.041472
+2         3         1          2   total  0.031023   0.002232
+1         3         2          1   total  0.000440   0.000445
+0         3         2          2   total  1.467612   0.356408
+   material  group in  group out nuclide      mean  std. dev.
+3         3         1          1   total  0.251610   0.048135
+2         3         1          2   total  0.031023   0.003064
+1         3         2          1   total  0.000440   0.000765
+0         3         2          2   total  1.467612   0.449931
diff --git a/tests/regression_tests/mgxs_library_correction/test.py b/tests/regression_tests/mgxs_library_correction/test.py
new file mode 100644
index 0000000000..05eedfef82
--- /dev/null
+++ b/tests/regression_tests/mgxs_library_correction/test.py
@@ -0,0 +1,63 @@
+import hashlib
+
+import openmc
+import openmc.mgxs
+from openmc.examples import pwr_pin_cell
+
+from tests.testing_harness import PyAPITestHarness
+
+
+class MGXSTestHarness(PyAPITestHarness):
+    def __init__(self, *args, **kwargs):
+        # Generate inputs using parent class routine
+        super().__init__(*args, **kwargs)
+
+        # Initialize a two-group structure
+        energy_groups = openmc.mgxs.EnergyGroups(group_edges=[0, 0.625, 20.e6])
+
+        # Initialize MGXS Library for a few cross section types
+        self.mgxs_lib = openmc.mgxs.Library(self._model.geometry)
+        self.mgxs_lib.by_nuclide = False
+
+        # Test all MGXS types
+        self.mgxs_lib.mgxs_types = ['scatter matrix', 'nu-scatter matrix',
+                                    'consistent scatter matrix',
+                                    'consistent nu-scatter matrix']
+        self.mgxs_lib.energy_groups = energy_groups
+        self.mgxs_lib.correction = 'P0'
+        self.mgxs_lib.domain_type = 'material'
+        self.mgxs_lib.build_library()
+
+        # Add tallies
+        self.mgxs_lib.add_to_tallies_file(self._model.tallies, merge=False)
+
+    def _get_results(self, hash_output=False):
+        """Digest info in the statepoint and return as a string."""
+
+        # Read the statepoint file.
+        sp = openmc.StatePoint(self._sp_name)
+
+        # Load the MGXS library from the statepoint
+        self.mgxs_lib.load_from_statepoint(sp)
+
+        # Build a string from Pandas Dataframe for each MGXS
+        outstr = ''
+        for domain in self.mgxs_lib.domains:
+            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() + '\n'
+
+        # Hash the results if necessary
+        if hash_output:
+            sha512 = hashlib.sha512()
+            sha512.update(outstr.encode('utf-8'))
+            outstr = sha512.hexdigest()
+
+        return outstr
+
+
+def test_mgxs_library_correction():
+    model = pwr_pin_cell()
+    harness = MGXSTestHarness('statepoint.10.h5', model)
+    harness.main()
diff --git a/tests/regression_tests/mgxs_library_distribcell/inputs_true.dat b/tests/regression_tests/mgxs_library_distribcell/inputs_true.dat
index ba7dc05ff7..f6748d1508 100644
--- a/tests/regression_tests/mgxs_library_distribcell/inputs_true.dat
+++ b/tests/regression_tests/mgxs_library_distribcell/inputs_true.dat
@@ -86,7 +86,13 @@
   <filter id="5" type="energyout">
     <bins>0.0 20000000.0</bins>
   </filter>
-  <filter id="59" type="delayedgroup">
+  <filter id="6" type="legendre">
+    <order>1</order>
+  </filter>
+  <filter id="28" type="legendre">
+    <order>3</order>
+  </filter>
+  <filter id="65" type="delayedgroup">
     <bins>1 2 3 4 5 6</bins>
   </filter>
   <tally id="1">
@@ -120,9 +126,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="6">
-    <filters>1 5</filters>
+    <filters>1 5 6</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-1</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="7">
@@ -144,9 +150,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="10">
-    <filters>1 5</filters>
+    <filters>1 5 6</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-1</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="11">
@@ -246,9 +252,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="27">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="28">
@@ -258,9 +264,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="29">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-P3</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="30">
@@ -306,9 +312,9 @@
     <estimator>tracklength</estimator>
   </tally>
   <tally id="37">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="38">
@@ -324,139 +330,133 @@
     <estimator>tracklength</estimator>
   </tally>
   <tally id="40">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="41">
     <filters>1 2 5</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-0</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="42">
-    <filters>1 2 5</filters>
+    <filters>1 2</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-0</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="43">
-    <filters>1 2</filters>
+    <filters>1 5</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="44">
-    <filters>1 5</filters>
+    <filters>1 2</filters>
     <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="45">
-    <filters>1 2</filters>
+    <filters>1 5</filters>
     <nuclides>total</nuclides>
     <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="46">
-    <filters>1 5</filters>
-    <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="47">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="48">
+  <tally id="47">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>inverse-velocity</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="49">
+  <tally id="48">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="49">
+    <filters>1 2</filters>
+    <nuclides>total</nuclides>
+    <scores>prompt-nu-fission</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="50">
-    <filters>1 2</filters>
-    <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="51">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="52">
+  <tally id="51">
     <filters>1 2 5</filters>
     <nuclides>total</nuclides>
     <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="53">
+  <tally id="52">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="54">
-    <filters>1 59 2</filters>
+  <tally id="53">
+    <filters>1 65 2</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="54">
+    <filters>1 65 2</filters>
+    <nuclides>total</nuclides>
+    <scores>delayed-nu-fission</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="55">
-    <filters>1 59 2</filters>
+    <filters>1 65 5</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="56">
-    <filters>1 59 5</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="57">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="57">
+    <filters>1 65 2</filters>
+    <nuclides>total</nuclides>
+    <scores>delayed-nu-fission</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="58">
-    <filters>1 59 2</filters>
+    <filters>1 65 2</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="59">
-    <filters>1 59 2</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="60">
-    <filters>1 59 2</filters>
+    <filters>1 65 2</filters>
     <nuclides>total</nuclides>
     <scores>decay-rate</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="61">
+  <tally id="60">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="62">
-    <filters>1 59 2 5</filters>
+  <tally id="61">
+    <filters>1 65 2 5</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>analog</estimator>
diff --git a/tests/regression_tests/mgxs_library_distribcell/results_true.dat b/tests/regression_tests/mgxs_library_distribcell/results_true.dat
index e9277c9758..d5496362c9 100644
--- a/tests/regression_tests/mgxs_library_distribcell/results_true.dat
+++ b/tests/regression_tests/mgxs_library_distribcell/results_true.dat
@@ -18,32 +18,32 @@
 0  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1   total  0.390797   0.008717
                                     sum(distribcell)  group in nuclide      mean  std. dev.
 0  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1   total  0.387332   0.014241
-                                    sum(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  0.387009   0.014230
-1  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1   total     P1  0.047179   0.004923
-2  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1   total     P2  0.015713   0.003654
-3  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1   total     P3  0.005378   0.003137
-                                    sum(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  0.387332   0.014241
-1  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1   total     P1  0.047187   0.004933
-2  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1   total     P2  0.015727   0.003654
-3  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1   total     P3  0.005387   0.003141
+                                    sum(distribcell)  group in  group out legendre nuclide      mean  std. dev.
+0  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1       P0   total  0.387009   0.014230
+1  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1       P1   total  0.047179   0.004923
+2  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1       P2   total  0.015713   0.003654
+3  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1       P3   total  0.005378   0.003137
+                                    sum(distribcell)  group in  group out legendre nuclide      mean  std. dev.
+0  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1       P0   total  0.387332   0.014241
+1  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1       P1   total  0.047187   0.004933
+2  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1       P2   total  0.015727   0.003654
+3  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1       P3   total  0.005387   0.003141
                                     sum(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  1.000834   0.037242
                                     sum(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  0.094516     0.0059
                                     sum(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   0.037213
-                                    sum(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  0.390797   0.016955
-1  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1   total     P1  0.047641   0.005091
-2  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1   total     P2  0.015866   0.003708
-3  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1   total     P3  0.005430   0.003170
-                                    sum(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  0.391123   0.022356
-1  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1   total     P1  0.047680   0.005395
-2  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1   total     P2  0.015880   0.003758
-3  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1   total     P3  0.005435   0.003179
+                                    sum(distribcell)  group in  group out legendre nuclide      mean  std. dev.
+0  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1       P0   total  0.390797   0.016955
+1  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1       P1   total  0.047641   0.005091
+2  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1       P2   total  0.015866   0.003708
+3  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1       P3   total  0.005430   0.003170
+                                    sum(distribcell)  group in  group out legendre nuclide      mean  std. dev.
+0  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1       P0   total  0.391123   0.022356
+1  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1       P1   total  0.047680   0.005395
+2  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1       P2   total  0.015880   0.003758
+3  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...         1          1       P3   total  0.005435   0.003179
                                     sum(distribcell)  group out nuclide  mean  std. dev.
 0  ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13...          1   total   1.0   0.080455
                                     sum(distribcell)  group out nuclide  mean  std. dev.
diff --git a/tests/regression_tests/mgxs_library_hdf5/inputs_true.dat b/tests/regression_tests/mgxs_library_hdf5/inputs_true.dat
index ef6c4c5206..5aedd383d0 100644
--- a/tests/regression_tests/mgxs_library_hdf5/inputs_true.dat
+++ b/tests/regression_tests/mgxs_library_hdf5/inputs_true.dat
@@ -59,16 +59,22 @@
   <filter id="5" type="energyout">
     <bins>0.0 0.625 20000000.0</bins>
   </filter>
-  <filter id="46" type="energy">
+  <filter id="6" type="legendre">
+    <order>1</order>
+  </filter>
+  <filter id="28" type="legendre">
+    <order>3</order>
+  </filter>
+  <filter id="52" type="energy">
     <bins>0.0 20000000.0</bins>
   </filter>
-  <filter id="59" type="delayedgroup">
+  <filter id="65" type="delayedgroup">
     <bins>1 2 3 4 5 6</bins>
   </filter>
-  <filter id="74" type="material">
+  <filter id="80" type="material">
     <bins>2</bins>
   </filter>
-  <filter id="147" type="material">
+  <filter id="159" type="material">
     <bins>3</bins>
   </filter>
   <tally id="1">
@@ -102,9 +108,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="6">
-    <filters>1 5</filters>
+    <filters>1 5 6</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-1</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="7">
@@ -126,9 +132,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="10">
-    <filters>1 5</filters>
+    <filters>1 5 6</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-1</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="11">
@@ -228,9 +234,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="27">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="28">
@@ -240,9 +246,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="29">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-P3</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="30">
@@ -288,9 +294,9 @@
     <estimator>tracklength</estimator>
   </tally>
   <tally id="37">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="38">
@@ -306,883 +312,865 @@
     <estimator>tracklength</estimator>
   </tally>
   <tally id="40">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="41">
     <filters>1 2 5</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-0</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="42">
-    <filters>1 2 5</filters>
+    <filters>1 52</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-0</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="43">
-    <filters>1 46</filters>
+    <filters>1 5</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="44">
-    <filters>1 5</filters>
+    <filters>1 52</filters>
     <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="45">
-    <filters>1 46</filters>
+    <filters>1 5</filters>
     <nuclides>total</nuclides>
     <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="46">
-    <filters>1 5</filters>
+    <filters>1 2</filters>
     <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="47">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <scores>inverse-velocity</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="48">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
-    <scores>inverse-velocity</scores>
+    <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="49">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="50">
-    <filters>1 2</filters>
-    <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="51">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="52">
+  <tally id="51">
     <filters>1 2 5</filters>
     <nuclides>total</nuclides>
     <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="53">
+  <tally id="52">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="54">
-    <filters>1 59 2</filters>
+  <tally id="53">
+    <filters>1 65 2</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="54">
+    <filters>1 65 52</filters>
+    <nuclides>total</nuclides>
+    <scores>delayed-nu-fission</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="55">
-    <filters>1 59 46</filters>
+    <filters>1 65 5</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="56">
-    <filters>1 59 5</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="57">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="57">
+    <filters>1 65 2</filters>
+    <nuclides>total</nuclides>
+    <scores>delayed-nu-fission</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="58">
-    <filters>1 59 2</filters>
+    <filters>1 65 2</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="59">
-    <filters>1 59 2</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="60">
-    <filters>1 59 2</filters>
+    <filters>1 65 2</filters>
     <nuclides>total</nuclides>
     <scores>decay-rate</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="61">
+  <tally id="60">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="62">
-    <filters>1 59 2 5</filters>
+  <tally id="61">
+    <filters>1 65 2 5</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="63">
-    <filters>74 2</filters>
+  <tally id="62">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="63">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>total</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="64">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>total</scores>
+    <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="65">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <scores>total</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="66">
-    <filters>74 2</filters>
-    <nuclides>total</nuclides>
-    <scores>total</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="67">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="67">
+    <filters>80 5 6</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="68">
-    <filters>74 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter-1</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="69">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="70">
-    <filters>74 2</filters>
+  <tally id="69">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>total</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="71">
-    <filters>74 2</filters>
+  <tally id="70">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="71">
+    <filters>80 5 6</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="72">
-    <filters>74 5</filters>
-    <nuclides>total</nuclides>
-    <scores>nu-scatter-1</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="73">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="73">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>absorption</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="74">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>absorption</scores>
+    <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="75">
-    <filters>74 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="76">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>absorption</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="77">
-    <filters>74 2</filters>
+  <tally id="76">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>fission</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="77">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="78">
-    <filters>74 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="79">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="80">
-    <filters>74 2</filters>
+  <tally id="79">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="81">
-    <filters>74 2</filters>
+  <tally id="80">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="82">
-    <filters>74 2</filters>
+  <tally id="81">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="83">
-    <filters>74 2</filters>
+  <tally id="82">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>kappa-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="84">
-    <filters>74 2</filters>
+  <tally id="83">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="84">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="85">
-    <filters>74 2</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="86">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="86">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="87">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter</scores>
+    <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="88">
-    <filters>74 2</filters>
+    <filters>80 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="89">
-    <filters>74 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="90">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="91">
-    <filters>74 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>nu-scatter-P3</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="92">
-    <filters>74 2 5</filters>
+  <tally id="90">
+    <filters>80 2 5 28</filters>
     <nuclides>total</nuclides>
     <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="93">
-    <filters>74 2 5</filters>
+  <tally id="91">
+    <filters>80 2 5</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="92">
+    <filters>80 2 5</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="93">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="94">
-    <filters>74 2</filters>
+    <filters>80 2 5</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="95">
-    <filters>74 2 5</filters>
+    <filters>80 2 5</filters>
     <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="96">
-    <filters>74 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="97">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="97">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="98">
-    <filters>74 2</filters>
+    <filters>80 2 5 28</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="99">
-    <filters>74 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="100">
-    <filters>74 2</filters>
+  <tally id="99">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="101">
-    <filters>74 2</filters>
+  <tally id="100">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="102">
-    <filters>74 2 5</filters>
+  <tally id="101">
+    <filters>80 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="102">
+    <filters>80 2 5</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="103">
-    <filters>74 2 5</filters>
+    <filters>80 52</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-0</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="104">
-    <filters>74 2 5</filters>
+    <filters>80 5</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-0</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="105">
-    <filters>74 46</filters>
+    <filters>80 52</filters>
     <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="106">
-    <filters>74 5</filters>
+    <filters>80 5</filters>
     <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="107">
-    <filters>74 46</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="108">
-    <filters>74 5</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
+    <scores>inverse-velocity</scores>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="109">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="110">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>inverse-velocity</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="111">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
-    <estimator>tracklength</estimator>
+    <estimator>analog</estimator>
   </tally>
   <tally id="112">
-    <filters>74 2</filters>
+    <filters>80 2 5</filters>
     <nuclides>total</nuclides>
     <scores>prompt-nu-fission</scores>
-    <estimator>tracklength</estimator>
+    <estimator>analog</estimator>
   </tally>
   <tally id="113">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
-    <estimator>analog</estimator>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="114">
-    <filters>74 2 5</filters>
+    <filters>80 65 2</filters>
     <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
+    <scores>delayed-nu-fission</scores>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="115">
-    <filters>74 2</filters>
+    <filters>80 65 52</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
+    <scores>delayed-nu-fission</scores>
+    <estimator>analog</estimator>
   </tally>
   <tally id="116">
-    <filters>74 59 2</filters>
+    <filters>80 65 5</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
-    <estimator>tracklength</estimator>
+    <estimator>analog</estimator>
   </tally>
   <tally id="117">
-    <filters>74 59 46</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="118">
-    <filters>74 59 5</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="119">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="118">
+    <filters>80 65 2</filters>
+    <nuclides>total</nuclides>
+    <scores>delayed-nu-fission</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="119">
+    <filters>80 65 2</filters>
+    <nuclides>total</nuclides>
+    <scores>delayed-nu-fission</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="120">
-    <filters>74 59 2</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="121">
-    <filters>74 59 2</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="122">
-    <filters>74 59 2</filters>
+    <filters>80 65 2</filters>
     <nuclides>total</nuclides>
     <scores>decay-rate</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="123">
-    <filters>74 2</filters>
+  <tally id="121">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="124">
-    <filters>74 59 2 5</filters>
+  <tally id="122">
+    <filters>80 65 2 5</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="123">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="124">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>total</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="125">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="126">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>total</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="127">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
-    <estimator>tracklength</estimator>
+    <estimator>analog</estimator>
   </tally>
   <tally id="128">
-    <filters>147 2</filters>
+    <filters>159 5 6</filters>
     <nuclides>total</nuclides>
-    <scores>total</scores>
-    <estimator>tracklength</estimator>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
   </tally>
   <tally id="129">
-    <filters>147 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="130">
-    <filters>147 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter-1</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="131">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="132">
-    <filters>147 2</filters>
+  <tally id="130">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>total</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="133">
-    <filters>147 2</filters>
+  <tally id="131">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="134">
-    <filters>147 5</filters>
+  <tally id="132">
+    <filters>159 5 6</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-1</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="133">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="134">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>absorption</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="135">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="136">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>absorption</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="137">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>fission</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="138">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="138">
-    <filters>147 2</filters>
-    <nuclides>total</nuclides>
-    <scores>absorption</scores>
-    <estimator>tracklength</estimator>
-  </tally>
   <tally id="139">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="140">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="141">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
-    <scores>fission</scores>
+    <scores>nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="142">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="143">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
+    <scores>kappa-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="144">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="145">
-    <filters>147 2</filters>
-    <nuclides>total</nuclides>
-    <scores>kappa-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="146">
-    <filters>147 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="147">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="146">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="147">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="148">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="149">
-    <filters>147 2</filters>
+    <filters>159 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="150">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="151">
-    <filters>147 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="152">
-    <filters>147 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="153">
-    <filters>147 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>nu-scatter-P3</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="154">
-    <filters>147 2 5</filters>
+    <filters>159 2 5 28</filters>
     <nuclides>total</nuclides>
     <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="155">
-    <filters>147 2 5</filters>
+  <tally id="152">
+    <filters>159 2 5</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="153">
+    <filters>159 2 5</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="154">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="155">
+    <filters>159 2 5</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-fission</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="156">
-    <filters>147 2</filters>
+    <filters>159 2 5</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="157">
-    <filters>147 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="158">
-    <filters>147 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="159">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="160">
-    <filters>147 2</filters>
+  <tally id="158">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="159">
+    <filters>159 2 5 28</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="160">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="161">
-    <filters>147 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="162">
-    <filters>147 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="163">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="164">
-    <filters>147 2 5</filters>
+  <tally id="162">
+    <filters>159 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="163">
+    <filters>159 2 5</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="164">
+    <filters>159 52</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="165">
-    <filters>147 2 5</filters>
+    <filters>159 5</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-0</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="166">
-    <filters>147 2 5</filters>
+    <filters>159 52</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-0</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="167">
-    <filters>147 46</filters>
+    <filters>159 5</filters>
     <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="168">
-    <filters>147 5</filters>
-    <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="169">
-    <filters>147 46</filters>
-    <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="170">
-    <filters>147 5</filters>
-    <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="171">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="172">
-    <filters>147 2</filters>
+  <tally id="169">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>inverse-velocity</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="173">
-    <filters>147 2</filters>
+  <tally id="170">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="174">
-    <filters>147 2</filters>
+  <tally id="171">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>prompt-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="172">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="173">
+    <filters>159 2 5</filters>
+    <nuclides>total</nuclides>
+    <scores>prompt-nu-fission</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="174">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="175">
-    <filters>147 2</filters>
+    <filters>159 65 2</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>analog</estimator>
+    <scores>delayed-nu-fission</scores>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="176">
-    <filters>147 2 5</filters>
+    <filters>159 65 52</filters>
     <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
+    <scores>delayed-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="177">
-    <filters>147 2</filters>
+    <filters>159 65 5</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
+    <scores>delayed-nu-fission</scores>
+    <estimator>analog</estimator>
   </tally>
   <tally id="178">
-    <filters>147 59 2</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="179">
-    <filters>147 59 46</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="180">
-    <filters>147 59 5</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="181">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="182">
-    <filters>147 59 2</filters>
+  <tally id="179">
+    <filters>159 65 2</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="183">
-    <filters>147 59 2</filters>
+  <tally id="180">
+    <filters>159 65 2</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="184">
-    <filters>147 59 2</filters>
+  <tally id="181">
+    <filters>159 65 2</filters>
     <nuclides>total</nuclides>
     <scores>decay-rate</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="185">
-    <filters>147 2</filters>
+  <tally id="182">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="186">
-    <filters>147 59 2 5</filters>
+  <tally id="183">
+    <filters>159 65 2 5</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>analog</estimator>
diff --git a/tests/regression_tests/mgxs_library_histogram/__init__.py b/tests/regression_tests/mgxs_library_histogram/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/tests/regression_tests/mgxs_library_histogram/inputs_true.dat b/tests/regression_tests/mgxs_library_histogram/inputs_true.dat
new file mode 100644
index 0000000000..799f4796d5
--- /dev/null
+++ b/tests/regression_tests/mgxs_library_histogram/inputs_true.dat
@@ -0,0 +1,269 @@
+<?xml version='1.0' encoding='utf-8'?>
+<geometry>
+  <cell id="1" material="1" name="Fuel" region="-1" universe="0" />
+  <cell id="2" material="2" name="Cladding" region="1 -2" universe="0" />
+  <cell id="3" material="3" name="Water" region="2 3 -4 5 -6" universe="0" />
+  <surface coeffs="0 0 0.39218" id="1" name="Fuel OR" type="z-cylinder" />
+  <surface coeffs="0 0 0.4572" id="2" name="Clad OR" type="z-cylinder" />
+  <surface boundary="reflective" coeffs="-0.63" id="3" name="left" type="x-plane" />
+  <surface boundary="reflective" coeffs="0.63" id="4" name="right" type="x-plane" />
+  <surface boundary="reflective" coeffs="-0.63" id="5" name="bottom" type="y-plane" />
+  <surface boundary="reflective" coeffs="0.63" id="6" name="top" type="y-plane" />
+</geometry>
+<?xml version='1.0' encoding='utf-8'?>
+<materials>
+  <material depletable="true" id="1" name="UO2 (2.4%)">
+    <density units="g/cm3" value="10.29769" />
+    <nuclide ao="4.4843e-06" name="U234" />
+    <nuclide ao="0.00055815" name="U235" />
+    <nuclide ao="0.022408" name="U238" />
+    <nuclide ao="0.045829" name="O16" />
+  </material>
+  <material id="2" name="Zircaloy">
+    <density units="g/cm3" value="6.55" />
+    <nuclide ao="0.021827" name="Zr90" />
+    <nuclide ao="0.00476" name="Zr91" />
+    <nuclide ao="0.0072758" name="Zr92" />
+    <nuclide ao="0.0073734" name="Zr94" />
+    <nuclide ao="0.0011879" name="Zr96" />
+  </material>
+  <material id="3" name="Hot borated water">
+    <density units="g/cm3" value="0.740582" />
+    <nuclide ao="0.049457" name="H1" />
+    <nuclide ao="0.024672" name="O16" />
+    <nuclide ao="8.0042e-06" name="B10" />
+    <nuclide ao="3.2218e-05" name="B11" />
+    <sab name="c_H_in_H2O" />
+  </material>
+</materials>
+<?xml version='1.0' encoding='utf-8'?>
+<settings>
+  <run_mode>eigenvalue</run_mode>
+  <particles>100</particles>
+  <batches>10</batches>
+  <inactive>5</inactive>
+  <source strength="1.0">
+    <space type="fission">
+      <parameters>-0.63 -0.63 -1 0.63 0.63 1</parameters>
+    </space>
+  </source>
+</settings>
+<?xml version='1.0' encoding='utf-8'?>
+<tallies>
+  <filter id="1" type="material">
+    <bins>1</bins>
+  </filter>
+  <filter id="2" type="energy">
+    <bins>0.0 0.625 20000000.0</bins>
+  </filter>
+  <filter id="3" type="energyout">
+    <bins>0.0 0.625 20000000.0</bins>
+  </filter>
+  <filter id="4" type="mu">
+    <bins>-1.0 -0.818181818182 -0.636363636364 -0.454545454545 -0.272727272727 -0.0909090909091 0.0909090909091 0.272727272727 0.454545454545 0.636363636364 0.818181818182 1.0</bins>
+  </filter>
+  <filter id="17" type="material">
+    <bins>2</bins>
+  </filter>
+  <filter id="33" type="material">
+    <bins>3</bins>
+  </filter>
+  <tally id="1">
+    <filters>1 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="2">
+    <filters>1 2 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="3">
+    <filters>1 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="4">
+    <filters>1 2 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="5">
+    <filters>1 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="6">
+    <filters>1 2</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="7">
+    <filters>1 2 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="8">
+    <filters>1 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="9">
+    <filters>1 2</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="10">
+    <filters>1 2 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="11">
+    <filters>1 2 3</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="12">
+    <filters>17 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="13">
+    <filters>17 2 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="14">
+    <filters>17 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="15">
+    <filters>17 2 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="16">
+    <filters>17 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="17">
+    <filters>17 2</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="18">
+    <filters>17 2 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="19">
+    <filters>17 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="20">
+    <filters>17 2</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="21">
+    <filters>17 2 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="22">
+    <filters>17 2 3</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="23">
+    <filters>33 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="24">
+    <filters>33 2 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="25">
+    <filters>33 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="26">
+    <filters>33 2 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="27">
+    <filters>33 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="28">
+    <filters>33 2</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="29">
+    <filters>33 2 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="30">
+    <filters>33 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="31">
+    <filters>33 2</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="32">
+    <filters>33 2 3 4</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="33">
+    <filters>33 2 3</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+</tallies>
diff --git a/tests/regression_tests/mgxs_library_histogram/results_true.dat b/tests/regression_tests/mgxs_library_histogram/results_true.dat
new file mode 100644
index 0000000000..20625efd06
--- /dev/null
+++ b/tests/regression_tests/mgxs_library_histogram/results_true.dat
@@ -0,0 +1,540 @@
+    material  group in  group out  mu bin nuclide      mean  std. dev.
+33         1         1          1       1   total  0.025383   0.001933
+34         1         1          1       2   total  0.027855   0.001701
+35         1         1          1       3   total  0.031646   0.002913
+36         1         1          1       4   total  0.028185   0.001430
+37         1         1          1       5   total  0.030162   0.002739
+38         1         1          1       6   total  0.029009   0.002713
+39         1         1          1       7   total  0.030492   0.002907
+40         1         1          1       8   total  0.035272   0.003860
+41         1         1          1       9   total  0.043678   0.006074
+42         1         1          1      10   total  0.044502   0.003030
+43         1         1          1      11   total  0.058017   0.004319
+22         1         1          2       1   total  0.000000   0.000000
+23         1         1          2       2   total  0.000165   0.000165
+24         1         1          2       3   total  0.000330   0.000202
+25         1         1          2       4   total  0.000165   0.000165
+26         1         1          2       5   total  0.000000   0.000000
+27         1         1          2       6   total  0.000165   0.000165
+28         1         1          2       7   total  0.000000   0.000000
+29         1         1          2       8   total  0.000000   0.000000
+30         1         1          2       9   total  0.000000   0.000000
+31         1         1          2      10   total  0.000165   0.000165
+32         1         1          2      11   total  0.000000   0.000000
+11         1         2          1       1   total  0.000925   0.000925
+12         1         2          1       2   total  0.000000   0.000000
+13         1         2          1       3   total  0.000000   0.000000
+14         1         2          1       4   total  0.000000   0.000000
+15         1         2          1       5   total  0.000000   0.000000
+16         1         2          1       6   total  0.000000   0.000000
+17         1         2          1       7   total  0.000000   0.000000
+18         1         2          1       8   total  0.000000   0.000000
+19         1         2          1       9   total  0.000000   0.000000
+20         1         2          1      10   total  0.000000   0.000000
+21         1         2          1      11   total  0.000000   0.000000
+0          1         2          2       1   total  0.037910   0.006498
+1          1         2          2       2   total  0.031438   0.002377
+2          1         2          2       3   total  0.036986   0.006429
+3          1         2          2       4   total  0.029588   0.005627
+4          1         2          2       5   total  0.036986   0.007359
+5          1         2          2       6   total  0.035136   0.004110
+6          1         2          2       7   total  0.037910   0.003188
+7          1         2          2       8   total  0.041609   0.004489
+8          1         2          2       9   total  0.040684   0.007710
+9          1         2          2      10   total  0.043458   0.004638
+10         1         2          2      11   total  0.039760   0.002920
+    material  group in  group out  mu bin nuclide      mean  std. dev.
+33         1         1          1       1   total  0.025383   0.001933
+34         1         1          1       2   total  0.027855   0.001701
+35         1         1          1       3   total  0.031646   0.002913
+36         1         1          1       4   total  0.028185   0.001430
+37         1         1          1       5   total  0.030162   0.002739
+38         1         1          1       6   total  0.029009   0.002713
+39         1         1          1       7   total  0.030492   0.002907
+40         1         1          1       8   total  0.035272   0.003860
+41         1         1          1       9   total  0.043678   0.006074
+42         1         1          1      10   total  0.044502   0.003030
+43         1         1          1      11   total  0.058017   0.004319
+22         1         1          2       1   total  0.000000   0.000000
+23         1         1          2       2   total  0.000165   0.000165
+24         1         1          2       3   total  0.000330   0.000202
+25         1         1          2       4   total  0.000165   0.000165
+26         1         1          2       5   total  0.000000   0.000000
+27         1         1          2       6   total  0.000165   0.000165
+28         1         1          2       7   total  0.000000   0.000000
+29         1         1          2       8   total  0.000000   0.000000
+30         1         1          2       9   total  0.000000   0.000000
+31         1         1          2      10   total  0.000165   0.000165
+32         1         1          2      11   total  0.000000   0.000000
+11         1         2          1       1   total  0.000925   0.000925
+12         1         2          1       2   total  0.000000   0.000000
+13         1         2          1       3   total  0.000000   0.000000
+14         1         2          1       4   total  0.000000   0.000000
+15         1         2          1       5   total  0.000000   0.000000
+16         1         2          1       6   total  0.000000   0.000000
+17         1         2          1       7   total  0.000000   0.000000
+18         1         2          1       8   total  0.000000   0.000000
+19         1         2          1       9   total  0.000000   0.000000
+20         1         2          1      10   total  0.000000   0.000000
+21         1         2          1      11   total  0.000000   0.000000
+0          1         2          2       1   total  0.037910   0.006498
+1          1         2          2       2   total  0.031438   0.002377
+2          1         2          2       3   total  0.036986   0.006429
+3          1         2          2       4   total  0.029588   0.005627
+4          1         2          2       5   total  0.036986   0.007359
+5          1         2          2       6   total  0.035136   0.004110
+6          1         2          2       7   total  0.037910   0.003188
+7          1         2          2       8   total  0.041609   0.004489
+8          1         2          2       9   total  0.040684   0.007710
+9          1         2          2      10   total  0.043458   0.004638
+10         1         2          2      11   total  0.039760   0.002920
+    material  group in  group out  mu bin nuclide      mean  std. dev.
+33         1         1          1       1   total  0.025529   0.002197
+34         1         1          1       2   total  0.028016   0.002047
+35         1         1          1       3   total  0.031829   0.003196
+36         1         1          1       4   total  0.028348   0.001833
+37         1         1          1       5   total  0.030337   0.003012
+38         1         1          1       6   total  0.029177   0.002969
+39         1         1          1       7   total  0.030668   0.003172
+40         1         1          1       8   total  0.035476   0.004135
+41         1         1          1       9   total  0.043931   0.006358
+42         1         1          1      10   total  0.044759   0.003536
+43         1         1          1      11   total  0.058353   0.004934
+22         1         1          2       1   total  0.000000   0.000000
+23         1         1          2       2   total  0.000166   0.000166
+24         1         1          2       3   total  0.000332   0.000204
+25         1         1          2       4   total  0.000166   0.000166
+26         1         1          2       5   total  0.000000   0.000000
+27         1         1          2       6   total  0.000166   0.000166
+28         1         1          2       7   total  0.000000   0.000000
+29         1         1          2       8   total  0.000000   0.000000
+30         1         1          2       9   total  0.000000   0.000000
+31         1         1          2      10   total  0.000166   0.000166
+32         1         1          2      11   total  0.000000   0.000000
+11         1         2          1       1   total  0.000887   0.000890
+12         1         2          1       2   total  0.000000   0.000000
+13         1         2          1       3   total  0.000000   0.000000
+14         1         2          1       4   total  0.000000   0.000000
+15         1         2          1       5   total  0.000000   0.000000
+16         1         2          1       6   total  0.000000   0.000000
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+18         1         2          1       8   total  0.000000   0.000000
+19         1         2          1       9   total  0.000000   0.000000
+20         1         2          1      10   total  0.000000   0.000000
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+0          1         2          2       1   total  0.036372   0.006773
+1          1         2          2       2   total  0.030162   0.003165
+2          1         2          2       3   total  0.035485   0.006687
+3          1         2          2       4   total  0.028388   0.005781
+4          1         2          2       5   total  0.035485   0.007518
+5          1         2          2       6   total  0.033711   0.004644
+6          1         2          2       7   total  0.036372   0.004045
+7          1         2          2       8   total  0.039921   0.005195
+8          1         2          2       9   total  0.039034   0.007923
+9          1         2          2      10   total  0.041695   0.005386
+10         1         2          2      11   total  0.038147   0.003944
+    material  group in  group out  mu bin nuclide      mean  std. dev.
+33         1         1          1       1   total  0.025529   0.002692
+34         1         1          1       2   total  0.028016   0.002666
+35         1         1          1       3   total  0.031829   0.003739
+36         1         1          1       4   total  0.028348   0.002519
+37         1         1          1       5   total  0.030337   0.003534
+38         1         1          1       6   total  0.029177   0.003461
+39         1         1          1       7   total  0.030668   0.003682
+40         1         1          1       8   total  0.035476   0.004666
+41         1         1          1       9   total  0.043931   0.006899
+42         1         1          1      10   total  0.044759   0.004466
+43         1         1          1      11   total  0.058353   0.006082
+22         1         1          2       1   total  0.000000   0.000000
+23         1         1          2       2   total  0.000166   0.000196
+24         1         1          2       3   total  0.000332   0.000290
+25         1         1          2       4   total  0.000166   0.000196
+26         1         1          2       5   total  0.000000   0.000000
+27         1         1          2       6   total  0.000166   0.000196
+28         1         1          2       7   total  0.000000   0.000000
+29         1         1          2       8   total  0.000000   0.000000
+30         1         1          2       9   total  0.000000   0.000000
+31         1         1          2      10   total  0.000166   0.000196
+32         1         1          2      11   total  0.000000   0.000000
+11         1         2          1       1   total  0.000887   0.001538
+12         1         2          1       2   total  0.000000   0.000000
+13         1         2          1       3   total  0.000000   0.000000
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+16         1         2          1       6   total  0.000000   0.000000
+17         1         2          1       7   total  0.000000   0.000000
+18         1         2          1       8   total  0.000000   0.000000
+19         1         2          1       9   total  0.000000   0.000000
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+0          1         2          2       1   total  0.036372   0.007026
+1          1         2          2       2   total  0.030162   0.003524
+2          1         2          2       3   total  0.035485   0.006931
+3          1         2          2       4   total  0.028388   0.005962
+4          1         2          2       5   total  0.035485   0.007736
+5          1         2          2       6   total  0.033711   0.004957
+6          1         2          2       7   total  0.036372   0.004455
+7          1         2          2       8   total  0.039921   0.005585
+8          1         2          2       9   total  0.039034   0.008173
+9          1         2          2      10   total  0.041695   0.005796
+10         1         2          2      11   total  0.038147   0.004404
+    material  group in  group out  mu bin nuclide      mean  std. dev.
+33         2         1          1       1   total  0.026289   0.004089
+34         2         1          1       2   total  0.018269   0.002939
+35         2         1          1       3   total  0.025398   0.002153
+36         2         1          1       4   total  0.024061   0.005097
+37         2         1          1       5   total  0.022279   0.003375
+38         2         1          1       6   total  0.027626   0.004817
+39         2         1          1       7   total  0.025843   0.003039
+40         2         1          1       8   total  0.026735   0.006742
+41         2         1          1       9   total  0.027626   0.005213
+42         2         1          1      10   total  0.036537   0.005920
+43         2         1          1      11   total  0.049459   0.004153
+22         2         1          2       1   total  0.000000   0.000000
+23         2         1          2       2   total  0.000000   0.000000
+24         2         1          2       3   total  0.000000   0.000000
+25         2         1          2       4   total  0.000000   0.000000
+26         2         1          2       5   total  0.000000   0.000000
+27         2         1          2       6   total  0.000000   0.000000
+28         2         1          2       7   total  0.000000   0.000000
+29         2         1          2       8   total  0.000000   0.000000
+30         2         1          2       9   total  0.000000   0.000000
+31         2         1          2      10   total  0.000000   0.000000
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+13         2         2          1       3   total  0.000000   0.000000
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+15         2         2          1       5   total  0.000000   0.000000
+16         2         2          1       6   total  0.000000   0.000000
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+18         2         2          1       8   total  0.000000   0.000000
+19         2         2          1       9   total  0.000000   0.000000
+20         2         2          1      10   total  0.000000   0.000000
+21         2         2          1      11   total  0.000000   0.000000
+0          2         2          2       1   total  0.024485   0.007210
+1          2         2          2       2   total  0.036727   0.005548
+2          2         2          2       3   total  0.041624   0.010918
+3          2         2          2       4   total  0.019588   0.008569
+4          2         2          2       5   total  0.022036   0.007526
+5          2         2          2       6   total  0.019588   0.011549
+6          2         2          2       7   total  0.022036   0.006454
+7          2         2          2       8   total  0.036727   0.010282
+8          2         2          2       9   total  0.022036   0.005164
+9          2         2          2      10   total  0.031830   0.011864
+10         2         2          2      11   total  0.019588   0.005336
+    material  group in  group out  mu bin nuclide      mean  std. dev.
+33         2         1          1       1   total  0.026289   0.004089
+34         2         1          1       2   total  0.018269   0.002939
+35         2         1          1       3   total  0.025398   0.002153
+36         2         1          1       4   total  0.024061   0.005097
+37         2         1          1       5   total  0.022279   0.003375
+38         2         1          1       6   total  0.027626   0.004817
+39         2         1          1       7   total  0.025843   0.003039
+40         2         1          1       8   total  0.026735   0.006742
+41         2         1          1       9   total  0.027626   0.005213
+42         2         1          1      10   total  0.036537   0.005920
+43         2         1          1      11   total  0.049459   0.004153
+22         2         1          2       1   total  0.000000   0.000000
+23         2         1          2       2   total  0.000000   0.000000
+24         2         1          2       3   total  0.000000   0.000000
+25         2         1          2       4   total  0.000000   0.000000
+26         2         1          2       5   total  0.000000   0.000000
+27         2         1          2       6   total  0.000000   0.000000
+28         2         1          2       7   total  0.000000   0.000000
+29         2         1          2       8   total  0.000000   0.000000
+30         2         1          2       9   total  0.000000   0.000000
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+11         2         2          1       1   total  0.000000   0.000000
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+13         2         2          1       3   total  0.000000   0.000000
+14         2         2          1       4   total  0.000000   0.000000
+15         2         2          1       5   total  0.000000   0.000000
+16         2         2          1       6   total  0.000000   0.000000
+17         2         2          1       7   total  0.000000   0.000000
+18         2         2          1       8   total  0.000000   0.000000
+19         2         2          1       9   total  0.000000   0.000000
+20         2         2          1      10   total  0.000000   0.000000
+21         2         2          1      11   total  0.000000   0.000000
+0          2         2          2       1   total  0.024485   0.007210
+1          2         2          2       2   total  0.036727   0.005548
+2          2         2          2       3   total  0.041624   0.010918
+3          2         2          2       4   total  0.019588   0.008569
+4          2         2          2       5   total  0.022036   0.007526
+5          2         2          2       6   total  0.019588   0.011549
+6          2         2          2       7   total  0.022036   0.006454
+7          2         2          2       8   total  0.036727   0.010282
+8          2         2          2       9   total  0.022036   0.005164
+9          2         2          2      10   total  0.031830   0.011864
+10         2         2          2      11   total  0.019588   0.005336
+    material  group in  group out  mu bin nuclide      mean  std. dev.
+33         2         1          1       1   total  0.026462   0.003961
+34         2         1          1       2   total  0.018389   0.002854
+35         2         1          1       3   total  0.025565   0.001877
+36         2         1          1       4   total  0.024220   0.005027
+37         2         1          1       5   total  0.022425   0.003262
+38         2         1          1       6   total  0.027808   0.004704
+39         2         1          1       7   total  0.026014   0.002854
+40         2         1          1       8   total  0.026911   0.006690
+41         2         1          1       9   total  0.027808   0.005114
+42         2         1          1      10   total  0.036778   0.005752
+43         2         1          1      11   total  0.049785   0.003610
+22         2         1          2       1   total  0.000000   0.000000
+23         2         1          2       2   total  0.000000   0.000000
+24         2         1          2       3   total  0.000000   0.000000
+25         2         1          2       4   total  0.000000   0.000000
+26         2         1          2       5   total  0.000000   0.000000
+27         2         1          2       6   total  0.000000   0.000000
+28         2         1          2       7   total  0.000000   0.000000
+29         2         1          2       8   total  0.000000   0.000000
+30         2         1          2       9   total  0.000000   0.000000
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+32         2         1          2      11   total  0.000000   0.000000
+11         2         2          1       1   total  0.000000   0.000000
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+13         2         2          1       3   total  0.000000   0.000000
+14         2         2          1       4   total  0.000000   0.000000
+15         2         2          1       5   total  0.000000   0.000000
+16         2         2          1       6   total  0.000000   0.000000
+17         2         2          1       7   total  0.000000   0.000000
+18         2         2          1       8   total  0.000000   0.000000
+19         2         2          1       9   total  0.000000   0.000000
+20         2         2          1      10   total  0.000000   0.000000
+21         2         2          1      11   total  0.000000   0.000000
+0          2         2          2       1   total  0.024415   0.007393
+1          2         2          2       2   total  0.036622   0.006106
+2          2         2          2       3   total  0.041505   0.011274
+3          2         2          2       4   total  0.019532   0.008656
+4          2         2          2       5   total  0.021973   0.007663
+5          2         2          2       6   total  0.019532   0.011599
+6          2         2          2       7   total  0.021973   0.006620
+7          2         2          2       8   total  0.036622   0.010574
+8          2         2          2       9   total  0.021973   0.005378
+9          2         2          2      10   total  0.031739   0.012040
+10         2         2          2      11   total  0.019532   0.005496
+    material  group in  group out  mu bin nuclide      mean  std. dev.
+33         2         1          1       1   total  0.026462   0.004589
+34         2         1          1       2   total  0.018389   0.003277
+35         2         1          1       3   total  0.025565   0.002922
+36         2         1          1       4   total  0.024220   0.005456
+37         2         1          1       5   total  0.022425   0.003808
+38         2         1          1       6   total  0.027808   0.005297
+39         2         1          1       7   total  0.026014   0.003652
+40         2         1          1       8   total  0.026911   0.007093
+41         2         1          1       9   total  0.027808   0.005664
+42         2         1          1      10   total  0.036778   0.006592
+43         2         1          1      11   total  0.049785   0.005660
+22         2         1          2       1   total  0.000000   0.000000
+23         2         1          2       2   total  0.000000   0.000000
+24         2         1          2       3   total  0.000000   0.000000
+25         2         1          2       4   total  0.000000   0.000000
+26         2         1          2       5   total  0.000000   0.000000
+27         2         1          2       6   total  0.000000   0.000000
+28         2         1          2       7   total  0.000000   0.000000
+29         2         1          2       8   total  0.000000   0.000000
+30         2         1          2       9   total  0.000000   0.000000
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+11         2         2          1       1   total  0.000000   0.000000
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+13         2         2          1       3   total  0.000000   0.000000
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+15         2         2          1       5   total  0.000000   0.000000
+16         2         2          1       6   total  0.000000   0.000000
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+19         2         2          1       9   total  0.000000   0.000000
+20         2         2          1      10   total  0.000000   0.000000
+21         2         2          1      11   total  0.000000   0.000000
+0          2         2          2       1   total  0.024415   0.008094
+1          2         2          2       2   total  0.036622   0.007855
+2          2         2          2       3   total  0.041505   0.012588
+3          2         2          2       4   total  0.019532   0.009048
+4          2         2          2       5   total  0.021973   0.008217
+5          2         2          2       6   total  0.019532   0.011894
+6          2         2          2       7   total  0.021973   0.007253
+7          2         2          2       8   total  0.036622   0.011671
+8          2         2          2       9   total  0.021973   0.006141
+9          2         2          2      10   total  0.031739   0.012779
+10         2         2          2      11   total  0.019532   0.006096
+    material  group in  group out  mu bin nuclide      mean  std. dev.
+33         3         1          1       1   total  0.007001   0.000582
+34         3         1          1       2   total  0.007728   0.001008
+35         3         1          1       3   total  0.006819   0.001120
+36         3         1          1       4   total  0.006092   0.000787
+37         3         1          1       5   total  0.007183   0.000663
+38         3         1          1       6   total  0.011274   0.000704
+39         3         1          1       7   total  0.042642   0.002093
+40         3         1          1       8   total  0.074464   0.002664
+41         3         1          1       9   total  0.119015   0.006892
+42         3         1          1      10   total  0.153293   0.006049
+43         3         1          1      11   total  0.204390   0.010619
+22         3         1          2       1   total  0.000818   0.000302
+23         3         1          2       2   total  0.000818   0.000094
+24         3         1          2       3   total  0.001091   0.000234
+25         3         1          2       4   total  0.001091   0.000310
+26         3         1          2       5   total  0.002546   0.000607
+27         3         1          2       6   total  0.002364   0.000340
+28         3         1          2       7   total  0.004546   0.000835
+29         3         1          2       8   total  0.004819   0.000831
+30         3         1          2       9   total  0.006092   0.001113
+31         3         1          2      10   total  0.004546   0.000757
+32         3         1          2      11   total  0.002637   0.000371
+11         3         2          1       1   total  0.000000   0.000000
+12         3         2          1       2   total  0.000000   0.000000
+13         3         2          1       3   total  0.000000   0.000000
+14         3         2          1       4   total  0.000000   0.000000
+15         3         2          1       5   total  0.000000   0.000000
+16         3         2          1       6   total  0.000000   0.000000
+17         3         2          1       7   total  0.000000   0.000000
+18         3         2          1       8   total  0.000000   0.000000
+19         3         2          1       9   total  0.000000   0.000000
+20         3         2          1      10   total  0.000000   0.000000
+21         3         2          1      11   total  0.000443   0.000445
+0          3         2          2       1   total  0.088669   0.015373
+1          3         2          2       2   total  0.098422   0.016029
+2          3         2          2       3   total  0.126796   0.022922
+3          3         2          2       4   total  0.118373   0.018371
+4          3         2          2       5   total  0.131230   0.014538
+5          3         2          2       6   total  0.167584   0.027220
+6          3         2          2       7   total  0.180441   0.023605
+7          3         2          2       8   total  0.213691   0.028779
+8          3         2          2       9   total  0.236745   0.024777
+9          3         2          2      10   total  0.333394   0.041247
+10         3         2          2      11   total  0.339601   0.037814
+    material  group in  group out  mu bin nuclide      mean  std. dev.
+33         3         1          1       1   total  0.007001   0.000582
+34         3         1          1       2   total  0.007728   0.001008
+35         3         1          1       3   total  0.006819   0.001120
+36         3         1          1       4   total  0.006092   0.000787
+37         3         1          1       5   total  0.007183   0.000663
+38         3         1          1       6   total  0.011274   0.000704
+39         3         1          1       7   total  0.042642   0.002093
+40         3         1          1       8   total  0.074464   0.002664
+41         3         1          1       9   total  0.119015   0.006892
+42         3         1          1      10   total  0.153293   0.006049
+43         3         1          1      11   total  0.204390   0.010619
+22         3         1          2       1   total  0.000818   0.000302
+23         3         1          2       2   total  0.000818   0.000094
+24         3         1          2       3   total  0.001091   0.000234
+25         3         1          2       4   total  0.001091   0.000310
+26         3         1          2       5   total  0.002546   0.000607
+27         3         1          2       6   total  0.002364   0.000340
+28         3         1          2       7   total  0.004546   0.000835
+29         3         1          2       8   total  0.004819   0.000831
+30         3         1          2       9   total  0.006092   0.001113
+31         3         1          2      10   total  0.004546   0.000757
+32         3         1          2      11   total  0.002637   0.000371
+11         3         2          1       1   total  0.000000   0.000000
+12         3         2          1       2   total  0.000000   0.000000
+13         3         2          1       3   total  0.000000   0.000000
+14         3         2          1       4   total  0.000000   0.000000
+15         3         2          1       5   total  0.000000   0.000000
+16         3         2          1       6   total  0.000000   0.000000
+17         3         2          1       7   total  0.000000   0.000000
+18         3         2          1       8   total  0.000000   0.000000
+19         3         2          1       9   total  0.000000   0.000000
+20         3         2          1      10   total  0.000000   0.000000
+21         3         2          1      11   total  0.000443   0.000445
+0          3         2          2       1   total  0.088669   0.015373
+1          3         2          2       2   total  0.098422   0.016029
+2          3         2          2       3   total  0.126796   0.022922
+3          3         2          2       4   total  0.118373   0.018371
+4          3         2          2       5   total  0.131230   0.014538
+5          3         2          2       6   total  0.167584   0.027220
+6          3         2          2       7   total  0.180441   0.023605
+7          3         2          2       8   total  0.213691   0.028779
+8          3         2          2       9   total  0.236745   0.024777
+9          3         2          2      10   total  0.333394   0.041247
+10         3         2          2      11   total  0.339601   0.037814
+    material  group in  group out  mu bin nuclide      mean  std. dev.
+33         3         1          1       1   total  0.006924   0.000646
+34         3         1          1       2   total  0.007643   0.001048
+35         3         1          1       3   total  0.006744   0.001144
+36         3         1          1       4   total  0.006025   0.000819
+37         3         1          1       5   total  0.007104   0.000721
+38         3         1          1       6   total  0.011150   0.000841
+39         3         1          1       7   total  0.042173   0.002735
+40         3         1          1       8   total  0.073645   0.004084
+41         3         1          1       9   total  0.117706   0.008446
+42         3         1          1      10   total  0.151606   0.008778
+43         3         1          1      11   total  0.202141   0.013551
+22         3         1          2       1   total  0.000809   0.000301
+23         3         1          2       2   total  0.000809   0.000099
+24         3         1          2       3   total  0.001079   0.000236
+25         3         1          2       4   total  0.001079   0.000310
+26         3         1          2       5   total  0.002518   0.000610
+27         3         1          2       6   total  0.002338   0.000351
+28         3         1          2       7   total  0.004496   0.000848
+29         3         1          2       8   total  0.004766   0.000847
+30         3         1          2       9   total  0.006025   0.001130
+31         3         1          2      10   total  0.004496   0.000773
+32         3         1          2      11   total  0.002608   0.000383
+11         3         2          1       1   total  0.000000   0.000000
+12         3         2          1       2   total  0.000000   0.000000
+13         3         2          1       3   total  0.000000   0.000000
+14         3         2          1       4   total  0.000000   0.000000
+15         3         2          1       5   total  0.000000   0.000000
+16         3         2          1       6   total  0.000000   0.000000
+17         3         2          1       7   total  0.000000   0.000000
+18         3         2          1       8   total  0.000000   0.000000
+19         3         2          1       9   total  0.000000   0.000000
+20         3         2          1      10   total  0.000000   0.000000
+21         3         2          1      11   total  0.000440   0.000443
+0          3         2          2       1   total  0.088029   0.016753
+1          3         2          2       2   total  0.097712   0.017664
+2          3         2          2       3   total  0.125881   0.024808
+3          3         2          2       4   total  0.117518   0.020437
+4          3         2          2       5   total  0.130282   0.017687
+5          3         2          2       6   total  0.166374   0.030012
+6          3         2          2       7   total  0.179138   0.027327
+7          3         2          2       8   total  0.212149   0.033068
+8          3         2          2       9   total  0.235036   0.030744
+9          3         2          2      10   total  0.330988   0.048491
+10         3         2          2      11   total  0.337150   0.045927
+    material  group in  group out  mu bin nuclide      mean  std. dev.
+33         3         1          1       1   total  0.006924   0.000686
+34         3         1          1       2   total  0.007643   0.001078
+35         3         1          1       3   total  0.006744   0.001166
+36         3         1          1       4   total  0.006025   0.000843
+37         3         1          1       5   total  0.007104   0.000759
+38         3         1          1       6   total  0.011150   0.000920
+39         3         1          1       7   total  0.042173   0.003073
+40         3         1          1       8   total  0.073645   0.004762
+41         3         1          1       9   total  0.117706   0.009309
+42         3         1          1      10   total  0.151606   0.010122
+43         3         1          1      11   total  0.202141   0.015127
+22         3         1          2       1   total  0.000809   0.000308
+23         3         1          2       2   total  0.000809   0.000118
+24         3         1          2       3   total  0.001079   0.000251
+25         3         1          2       4   total  0.001079   0.000321
+26         3         1          2       5   total  0.002518   0.000642
+27         3         1          2       6   total  0.002338   0.000397
+28         3         1          2       7   total  0.004496   0.000920
+29         3         1          2       8   total  0.004766   0.000928
+30         3         1          2       9   total  0.006025   0.001227
+31         3         1          2      10   total  0.004496   0.000852
+32         3         1          2      11   total  0.002608   0.000436
+11         3         2          1       1   total  0.000000   0.000000
+12         3         2          1       2   total  0.000000   0.000000
+13         3         2          1       3   total  0.000000   0.000000
+14         3         2          1       4   total  0.000000   0.000000
+15         3         2          1       5   total  0.000000   0.000000
+16         3         2          1       6   total  0.000000   0.000000
+17         3         2          1       7   total  0.000000   0.000000
+18         3         2          1       8   total  0.000000   0.000000
+19         3         2          1       9   total  0.000000   0.000000
+20         3         2          1      10   total  0.000000   0.000000
+21         3         2          1      11   total  0.000440   0.000764
+0          3         2          2       1   total  0.088029   0.018984
+1          3         2          2       2   total  0.097712   0.020255
+2          3         2          2       3   total  0.125881   0.027901
+3          3         2          2       4   total  0.117518   0.023659
+4          3         2          2       5   total  0.130282   0.022078
+5          3         2          2       6   total  0.166374   0.034431
+6          3         2          2       7   total  0.179138   0.032816
+7          3         2          2       8   total  0.212149   0.039453
+8          3         2          2       9   total  0.235036   0.038904
+9          3         2          2      10   total  0.330988   0.058979
+10         3         2          2      11   total  0.337150   0.057260
diff --git a/tests/regression_tests/mgxs_library_histogram/test.py b/tests/regression_tests/mgxs_library_histogram/test.py
new file mode 100644
index 0000000000..b9905910ab
--- /dev/null
+++ b/tests/regression_tests/mgxs_library_histogram/test.py
@@ -0,0 +1,64 @@
+import hashlib
+
+import openmc
+import openmc.mgxs
+from openmc.examples import pwr_pin_cell
+
+from tests.testing_harness import PyAPITestHarness
+
+
+class MGXSTestHarness(PyAPITestHarness):
+    def __init__(self, *args, **kwargs):
+        # Generate inputs using parent class routine
+        super().__init__(*args, **kwargs)
+
+        # Initialize a two-group structure
+        energy_groups = openmc.mgxs.EnergyGroups(group_edges=[0, 0.625, 20.e6])
+
+        # Initialize MGXS Library for a few cross section types
+        self.mgxs_lib = openmc.mgxs.Library(self._model.geometry)
+        self.mgxs_lib.by_nuclide = False
+
+        # Test all MGXS types
+        self.mgxs_lib.mgxs_types = ['scatter matrix', 'nu-scatter matrix',
+                                    'consistent scatter matrix',
+                                    'consistent nu-scatter matrix']
+        self.mgxs_lib.energy_groups = energy_groups
+        self.mgxs_lib.scatter_format = 'histogram'
+        self.mgxs_lib.histogram_bins = 11
+        self.mgxs_lib.domain_type = 'material'
+        self.mgxs_lib.build_library()
+
+        # Add tallies
+        self.mgxs_lib.add_to_tallies_file(self._model.tallies, merge=False)
+
+    def _get_results(self, hash_output=False):
+        """Digest info in the statepoint and return as a string."""
+
+        # Read the statepoint file.
+        sp = openmc.StatePoint(self._sp_name)
+
+        # Load the MGXS library from the statepoint
+        self.mgxs_lib.load_from_statepoint(sp)
+
+        # Build a string from Pandas Dataframe for each MGXS
+        outstr = ''
+        for domain in self.mgxs_lib.domains:
+            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() + '\n'
+
+        # Hash the results if necessary
+        if hash_output:
+            sha512 = hashlib.sha512()
+            sha512.update(outstr.encode('utf-8'))
+            outstr = sha512.hexdigest()
+
+        return outstr
+
+
+def test_mgxs_library_histogram():
+    model = pwr_pin_cell()
+    harness = MGXSTestHarness('statepoint.10.h5', model)
+    harness.main()
diff --git a/tests/regression_tests/mgxs_library_mesh/inputs_true.dat b/tests/regression_tests/mgxs_library_mesh/inputs_true.dat
index aa2c904b19..299da0713c 100644
--- a/tests/regression_tests/mgxs_library_mesh/inputs_true.dat
+++ b/tests/regression_tests/mgxs_library_mesh/inputs_true.dat
@@ -323,7 +323,13 @@
   <filter id="5" type="energyout">
     <bins>0.0 20000000.0</bins>
   </filter>
-  <filter id="59" type="delayedgroup">
+  <filter id="6" type="legendre">
+    <order>1</order>
+  </filter>
+  <filter id="28" type="legendre">
+    <order>3</order>
+  </filter>
+  <filter id="65" type="delayedgroup">
     <bins>1 2 3 4 5 6</bins>
   </filter>
   <tally id="1">
@@ -357,9 +363,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="6">
-    <filters>1 5</filters>
+    <filters>1 5 6</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-1</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="7">
@@ -381,9 +387,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="10">
-    <filters>1 5</filters>
+    <filters>1 5 6</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-1</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="11">
@@ -483,9 +489,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="27">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="28">
@@ -495,9 +501,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="29">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-P3</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="30">
@@ -543,9 +549,9 @@
     <estimator>tracklength</estimator>
   </tally>
   <tally id="37">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="38">
@@ -561,139 +567,133 @@
     <estimator>tracklength</estimator>
   </tally>
   <tally id="40">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="41">
     <filters>1 2 5</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-0</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="42">
-    <filters>1 2 5</filters>
+    <filters>1 2</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-0</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="43">
-    <filters>1 2</filters>
+    <filters>1 5</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="44">
-    <filters>1 5</filters>
+    <filters>1 2</filters>
     <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="45">
-    <filters>1 2</filters>
+    <filters>1 5</filters>
     <nuclides>total</nuclides>
     <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="46">
-    <filters>1 5</filters>
-    <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="47">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="48">
+  <tally id="47">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>inverse-velocity</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="49">
+  <tally id="48">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="49">
+    <filters>1 2</filters>
+    <nuclides>total</nuclides>
+    <scores>prompt-nu-fission</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="50">
-    <filters>1 2</filters>
-    <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="51">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="52">
+  <tally id="51">
     <filters>1 2 5</filters>
     <nuclides>total</nuclides>
     <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="53">
+  <tally id="52">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="54">
-    <filters>1 59 2</filters>
+  <tally id="53">
+    <filters>1 65 2</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="54">
+    <filters>1 65 2</filters>
+    <nuclides>total</nuclides>
+    <scores>delayed-nu-fission</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="55">
-    <filters>1 59 2</filters>
+    <filters>1 65 5</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="56">
-    <filters>1 59 5</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="57">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="57">
+    <filters>1 65 2</filters>
+    <nuclides>total</nuclides>
+    <scores>delayed-nu-fission</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="58">
-    <filters>1 59 2</filters>
+    <filters>1 65 2</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="59">
-    <filters>1 59 2</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="60">
-    <filters>1 59 2</filters>
+    <filters>1 65 2</filters>
     <nuclides>total</nuclides>
     <scores>decay-rate</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="61">
+  <tally id="60">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="62">
-    <filters>1 59 2 5</filters>
+  <tally id="61">
+    <filters>1 65 2 5</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>analog</estimator>
diff --git a/tests/regression_tests/mgxs_library_mesh/results_true.dat b/tests/regression_tests/mgxs_library_mesh/results_true.dat
index 4b9303fbf3..27c1ffdc97 100644
--- a/tests/regression_tests/mgxs_library_mesh/results_true.dat
+++ b/tests/regression_tests/mgxs_library_mesh/results_true.dat
@@ -58,42 +58,42 @@
 2      1  2  1        1   total  0.628158  0.064356
 1      2  1  1        1   total  0.640809  0.158369
 3      2  2  1        1   total  0.645171  0.080467
-   mesh 1       group in group out nuclide moment      mean std. dev.
-        x  y  z                                                      
-0       1  1  1        1         1   total     P0  0.763779  0.070696
-1       1  1  1        1         1   total     P1  0.288556  0.024446
-2       1  1  1        1         1   total     P2  0.082441  0.011443
-3       1  1  1        1         1   total     P3 -0.005627  0.012638
-8       1  2  1        1         1   total     P0  0.628158  0.064356
-9       1  2  1        1         1   total     P1  0.245583  0.022676
-10      1  2  1        1         1   total     P2  0.086370  0.007833
-11      1  2  1        1         1   total     P3  0.019590  0.005345
-4       2  1  1        1         1   total     P0  0.640809  0.158369
-5       2  1  1        1         1   total     P1  0.273553  0.066437
-6       2  1  1        1         1   total     P2  0.108446  0.024435
-7       2  1  1        1         1   total     P3  0.012229  0.003785
-12      2  2  1        1         1   total     P0  0.645171  0.080467
-13      2  2  1        1         1   total     P1  0.252215  0.032154
-14      2  2  1        1         1   total     P2  0.089251  0.009734
-15      2  2  1        1         1   total     P3  0.004748  0.002987
-   mesh 1       group in group out nuclide moment      mean std. dev.
-        x  y  z                                                      
-0       1  1  1        1         1   total     P0  0.763779  0.070696
-1       1  1  1        1         1   total     P1  0.288556  0.024446
-2       1  1  1        1         1   total     P2  0.082441  0.011443
-3       1  1  1        1         1   total     P3 -0.005627  0.012638
-8       1  2  1        1         1   total     P0  0.628158  0.064356
-9       1  2  1        1         1   total     P1  0.245583  0.022676
-10      1  2  1        1         1   total     P2  0.086370  0.007833
-11      1  2  1        1         1   total     P3  0.019590  0.005345
-4       2  1  1        1         1   total     P0  0.640809  0.158369
-5       2  1  1        1         1   total     P1  0.273553  0.066437
-6       2  1  1        1         1   total     P2  0.108446  0.024435
-7       2  1  1        1         1   total     P3  0.012229  0.003785
-12      2  2  1        1         1   total     P0  0.645171  0.080467
-13      2  2  1        1         1   total     P1  0.252215  0.032154
-14      2  2  1        1         1   total     P2  0.089251  0.009734
-15      2  2  1        1         1   total     P3  0.004748  0.002987
+   mesh 1       group in group out legendre nuclide      mean std. dev.
+        x  y  z                                                        
+0       1  1  1        1         1       P0   total  0.763779  0.070696
+1       1  1  1        1         1       P1   total  0.288556  0.024446
+2       1  1  1        1         1       P2   total  0.082441  0.011443
+3       1  1  1        1         1       P3   total -0.005627  0.012638
+8       1  2  1        1         1       P0   total  0.628158  0.064356
+9       1  2  1        1         1       P1   total  0.245583  0.022676
+10      1  2  1        1         1       P2   total  0.086370  0.007833
+11      1  2  1        1         1       P3   total  0.019590  0.005345
+4       2  1  1        1         1       P0   total  0.640809  0.158369
+5       2  1  1        1         1       P1   total  0.273553  0.066437
+6       2  1  1        1         1       P2   total  0.108446  0.024435
+7       2  1  1        1         1       P3   total  0.012229  0.003785
+12      2  2  1        1         1       P0   total  0.645171  0.080467
+13      2  2  1        1         1       P1   total  0.252215  0.032154
+14      2  2  1        1         1       P2   total  0.089251  0.009734
+15      2  2  1        1         1       P3   total  0.004748  0.002987
+   mesh 1       group in group out legendre nuclide      mean std. dev.
+        x  y  z                                                        
+0       1  1  1        1         1       P0   total  0.763779  0.070696
+1       1  1  1        1         1       P1   total  0.288556  0.024446
+2       1  1  1        1         1       P2   total  0.082441  0.011443
+3       1  1  1        1         1       P3   total -0.005627  0.012638
+8       1  2  1        1         1       P0   total  0.628158  0.064356
+9       1  2  1        1         1       P1   total  0.245583  0.022676
+10      1  2  1        1         1       P2   total  0.086370  0.007833
+11      1  2  1        1         1       P3   total  0.019590  0.005345
+4       2  1  1        1         1       P0   total  0.640809  0.158369
+5       2  1  1        1         1       P1   total  0.273553  0.066437
+6       2  1  1        1         1       P2   total  0.108446  0.024435
+7       2  1  1        1         1       P3   total  0.012229  0.003785
+12      2  2  1        1         1       P0   total  0.645171  0.080467
+13      2  2  1        1         1       P1   total  0.252215  0.032154
+14      2  2  1        1         1       P2   total  0.089251  0.009734
+15      2  2  1        1         1       P3   total  0.004748  0.002987
   mesh 1       group in group out nuclide mean std. dev.
        x  y  z                                          
 0      1  1  1        1         1   total  1.0  0.108337
@@ -112,42 +112,42 @@
 2      1  2  1        1         1   total  1.0  0.113128
 1      2  1  1        1         1   total  1.0  0.238517
 3      2  2  1        1         1   total  1.0  0.132597
-   mesh 1       group in group out nuclide moment      mean std. dev.
-        x  y  z                                                      
-0       1  1  1        1         1   total     P0  0.735256  0.113047
-1       1  1  1        1         1   total     P1  0.277780  0.041434
-2       1  1  1        1         1   total     P2  0.079362  0.014706
-3       1  1  1        1         1   total     P3 -0.005417  0.012184
-8       1  2  1        1         1   total     P0  0.624575  0.110512
-9       1  2  1        1         1   total     P1  0.244182  0.041824
-10      1  2  1        1         1   total     P2  0.085877  0.014634
-11      1  2  1        1         1   total     P3  0.019478  0.006012
-4       2  1  1        1         1   total     P0  0.633925  0.212349
-5       2  1  1        1         1   total     P1  0.270615  0.089799
-6       2  1  1        1         1   total     P2  0.107281  0.034246
-7       2  1  1        1         1   total     P3  0.012098  0.004637
-12      2  2  1        1         1   total     P0  0.655214  0.126119
-13      2  2  1        1         1   total     P1  0.256141  0.049765
-14      2  2  1        1         1   total     P2  0.090641  0.016563
-15      2  2  1        1         1   total     P3  0.004822  0.003115
-   mesh 1       group in group out nuclide moment      mean std. dev.
-        x  y  z                                                      
-0       1  1  1        1         1   total     P0  0.735256  0.138292
-1       1  1  1        1         1   total     P1  0.277780  0.051210
-2       1  1  1        1         1   total     P2  0.079362  0.017035
-3       1  1  1        1         1   total     P3 -0.005417  0.012198
-8       1  2  1        1         1   total     P0  0.624575  0.131169
-9       1  2  1        1         1   total     P1  0.244182  0.050123
-10      1  2  1        1         1   total     P2  0.085877  0.017565
-11      1  2  1        1         1   total     P3  0.019478  0.006403
-4       2  1  1        1         1   total     P0  0.633925  0.260681
-5       2  1  1        1         1   total     P1  0.270615  0.110590
-6       2  1  1        1         1   total     P2  0.107281  0.042750
-7       2  1  1        1         1   total     P3  0.012098  0.005462
-12      2  2  1        1         1   total     P0  0.655214  0.153147
-13      2  2  1        1         1   total     P1  0.256141  0.060250
-14      2  2  1        1         1   total     P2  0.090641  0.020464
-15      2  2  1        1         1   total     P3  0.004822  0.003180
+   mesh 1       group in group out legendre nuclide      mean std. dev.
+        x  y  z                                                        
+0       1  1  1        1         1       P0   total  0.735256  0.113047
+1       1  1  1        1         1       P1   total  0.277780  0.041434
+2       1  1  1        1         1       P2   total  0.079362  0.014706
+3       1  1  1        1         1       P3   total -0.005417  0.012184
+8       1  2  1        1         1       P0   total  0.624575  0.110512
+9       1  2  1        1         1       P1   total  0.244182  0.041824
+10      1  2  1        1         1       P2   total  0.085877  0.014634
+11      1  2  1        1         1       P3   total  0.019478  0.006012
+4       2  1  1        1         1       P0   total  0.633925  0.212349
+5       2  1  1        1         1       P1   total  0.270615  0.089799
+6       2  1  1        1         1       P2   total  0.107281  0.034246
+7       2  1  1        1         1       P3   total  0.012098  0.004637
+12      2  2  1        1         1       P0   total  0.655214  0.126119
+13      2  2  1        1         1       P1   total  0.256141  0.049765
+14      2  2  1        1         1       P2   total  0.090641  0.016563
+15      2  2  1        1         1       P3   total  0.004822  0.003115
+   mesh 1       group in group out legendre nuclide      mean std. dev.
+        x  y  z                                                        
+0       1  1  1        1         1       P0   total  0.735256  0.138292
+1       1  1  1        1         1       P1   total  0.277780  0.051210
+2       1  1  1        1         1       P2   total  0.079362  0.017035
+3       1  1  1        1         1       P3   total -0.005417  0.012198
+8       1  2  1        1         1       P0   total  0.624575  0.131169
+9       1  2  1        1         1       P1   total  0.244182  0.050123
+10      1  2  1        1         1       P2   total  0.085877  0.017565
+11      1  2  1        1         1       P3   total  0.019478  0.006403
+4       2  1  1        1         1       P0   total  0.633925  0.260681
+5       2  1  1        1         1       P1   total  0.270615  0.110590
+6       2  1  1        1         1       P2   total  0.107281  0.042750
+7       2  1  1        1         1       P3   total  0.012098  0.005462
+12      2  2  1        1         1       P0   total  0.655214  0.153147
+13      2  2  1        1         1       P1   total  0.256141  0.060250
+14      2  2  1        1         1       P2   total  0.090641  0.020464
+15      2  2  1        1         1       P3   total  0.004822  0.003180
   mesh 1       group out nuclide mean std. dev.
        x  y  z                                 
 0      1  1  1         1   total  1.0  0.300047
diff --git a/tests/regression_tests/mgxs_library_no_nuclides/inputs_true.dat b/tests/regression_tests/mgxs_library_no_nuclides/inputs_true.dat
index ef6c4c5206..5aedd383d0 100644
--- a/tests/regression_tests/mgxs_library_no_nuclides/inputs_true.dat
+++ b/tests/regression_tests/mgxs_library_no_nuclides/inputs_true.dat
@@ -59,16 +59,22 @@
   <filter id="5" type="energyout">
     <bins>0.0 0.625 20000000.0</bins>
   </filter>
-  <filter id="46" type="energy">
+  <filter id="6" type="legendre">
+    <order>1</order>
+  </filter>
+  <filter id="28" type="legendre">
+    <order>3</order>
+  </filter>
+  <filter id="52" type="energy">
     <bins>0.0 20000000.0</bins>
   </filter>
-  <filter id="59" type="delayedgroup">
+  <filter id="65" type="delayedgroup">
     <bins>1 2 3 4 5 6</bins>
   </filter>
-  <filter id="74" type="material">
+  <filter id="80" type="material">
     <bins>2</bins>
   </filter>
-  <filter id="147" type="material">
+  <filter id="159" type="material">
     <bins>3</bins>
   </filter>
   <tally id="1">
@@ -102,9 +108,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="6">
-    <filters>1 5</filters>
+    <filters>1 5 6</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-1</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="7">
@@ -126,9 +132,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="10">
-    <filters>1 5</filters>
+    <filters>1 5 6</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-1</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="11">
@@ -228,9 +234,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="27">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="28">
@@ -240,9 +246,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="29">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-P3</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="30">
@@ -288,9 +294,9 @@
     <estimator>tracklength</estimator>
   </tally>
   <tally id="37">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="38">
@@ -306,883 +312,865 @@
     <estimator>tracklength</estimator>
   </tally>
   <tally id="40">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="41">
     <filters>1 2 5</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-0</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="42">
-    <filters>1 2 5</filters>
+    <filters>1 52</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-0</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="43">
-    <filters>1 46</filters>
+    <filters>1 5</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="44">
-    <filters>1 5</filters>
+    <filters>1 52</filters>
     <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="45">
-    <filters>1 46</filters>
+    <filters>1 5</filters>
     <nuclides>total</nuclides>
     <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="46">
-    <filters>1 5</filters>
+    <filters>1 2</filters>
     <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="47">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <scores>inverse-velocity</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="48">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
-    <scores>inverse-velocity</scores>
+    <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="49">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="50">
-    <filters>1 2</filters>
-    <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="51">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="52">
+  <tally id="51">
     <filters>1 2 5</filters>
     <nuclides>total</nuclides>
     <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="53">
+  <tally id="52">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="54">
-    <filters>1 59 2</filters>
+  <tally id="53">
+    <filters>1 65 2</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="54">
+    <filters>1 65 52</filters>
+    <nuclides>total</nuclides>
+    <scores>delayed-nu-fission</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="55">
-    <filters>1 59 46</filters>
+    <filters>1 65 5</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="56">
-    <filters>1 59 5</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="57">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="57">
+    <filters>1 65 2</filters>
+    <nuclides>total</nuclides>
+    <scores>delayed-nu-fission</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="58">
-    <filters>1 59 2</filters>
+    <filters>1 65 2</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="59">
-    <filters>1 59 2</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="60">
-    <filters>1 59 2</filters>
+    <filters>1 65 2</filters>
     <nuclides>total</nuclides>
     <scores>decay-rate</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="61">
+  <tally id="60">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="62">
-    <filters>1 59 2 5</filters>
+  <tally id="61">
+    <filters>1 65 2 5</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="63">
-    <filters>74 2</filters>
+  <tally id="62">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="63">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>total</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="64">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>total</scores>
+    <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="65">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <scores>total</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="66">
-    <filters>74 2</filters>
-    <nuclides>total</nuclides>
-    <scores>total</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="67">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="67">
+    <filters>80 5 6</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="68">
-    <filters>74 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter-1</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="69">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="70">
-    <filters>74 2</filters>
+  <tally id="69">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>total</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="71">
-    <filters>74 2</filters>
+  <tally id="70">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="71">
+    <filters>80 5 6</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="72">
-    <filters>74 5</filters>
-    <nuclides>total</nuclides>
-    <scores>nu-scatter-1</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="73">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="73">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>absorption</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="74">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>absorption</scores>
+    <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="75">
-    <filters>74 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="76">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>absorption</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="77">
-    <filters>74 2</filters>
+  <tally id="76">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>fission</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="77">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="78">
-    <filters>74 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="79">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="80">
-    <filters>74 2</filters>
+  <tally id="79">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="81">
-    <filters>74 2</filters>
+  <tally id="80">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="82">
-    <filters>74 2</filters>
+  <tally id="81">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="83">
-    <filters>74 2</filters>
+  <tally id="82">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>kappa-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="84">
-    <filters>74 2</filters>
+  <tally id="83">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="84">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="85">
-    <filters>74 2</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="86">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="86">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="87">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter</scores>
+    <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="88">
-    <filters>74 2</filters>
+    <filters>80 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="89">
-    <filters>74 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="90">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="91">
-    <filters>74 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>nu-scatter-P3</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="92">
-    <filters>74 2 5</filters>
+  <tally id="90">
+    <filters>80 2 5 28</filters>
     <nuclides>total</nuclides>
     <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="93">
-    <filters>74 2 5</filters>
+  <tally id="91">
+    <filters>80 2 5</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="92">
+    <filters>80 2 5</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="93">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="94">
-    <filters>74 2</filters>
+    <filters>80 2 5</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="95">
-    <filters>74 2 5</filters>
+    <filters>80 2 5</filters>
     <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="96">
-    <filters>74 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="97">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="97">
+    <filters>80 2</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="98">
-    <filters>74 2</filters>
+    <filters>80 2 5 28</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="99">
-    <filters>74 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="100">
-    <filters>74 2</filters>
+  <tally id="99">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="101">
-    <filters>74 2</filters>
+  <tally id="100">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="102">
-    <filters>74 2 5</filters>
+  <tally id="101">
+    <filters>80 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="102">
+    <filters>80 2 5</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="103">
-    <filters>74 2 5</filters>
+    <filters>80 52</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-0</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="104">
-    <filters>74 2 5</filters>
+    <filters>80 5</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-0</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="105">
-    <filters>74 46</filters>
+    <filters>80 52</filters>
     <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="106">
-    <filters>74 5</filters>
+    <filters>80 5</filters>
     <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="107">
-    <filters>74 46</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="108">
-    <filters>74 5</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
+    <scores>inverse-velocity</scores>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="109">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="110">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
-    <scores>inverse-velocity</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="111">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
-    <estimator>tracklength</estimator>
+    <estimator>analog</estimator>
   </tally>
   <tally id="112">
-    <filters>74 2</filters>
+    <filters>80 2 5</filters>
     <nuclides>total</nuclides>
     <scores>prompt-nu-fission</scores>
-    <estimator>tracklength</estimator>
+    <estimator>analog</estimator>
   </tally>
   <tally id="113">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
-    <estimator>analog</estimator>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="114">
-    <filters>74 2 5</filters>
+    <filters>80 65 2</filters>
     <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
+    <scores>delayed-nu-fission</scores>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="115">
-    <filters>74 2</filters>
+    <filters>80 65 52</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
+    <scores>delayed-nu-fission</scores>
+    <estimator>analog</estimator>
   </tally>
   <tally id="116">
-    <filters>74 59 2</filters>
+    <filters>80 65 5</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
-    <estimator>tracklength</estimator>
+    <estimator>analog</estimator>
   </tally>
   <tally id="117">
-    <filters>74 59 46</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="118">
-    <filters>74 59 5</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="119">
-    <filters>74 2</filters>
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="118">
+    <filters>80 65 2</filters>
+    <nuclides>total</nuclides>
+    <scores>delayed-nu-fission</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="119">
+    <filters>80 65 2</filters>
+    <nuclides>total</nuclides>
+    <scores>delayed-nu-fission</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="120">
-    <filters>74 59 2</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="121">
-    <filters>74 59 2</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="122">
-    <filters>74 59 2</filters>
+    <filters>80 65 2</filters>
     <nuclides>total</nuclides>
     <scores>decay-rate</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="123">
-    <filters>74 2</filters>
+  <tally id="121">
+    <filters>80 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="124">
-    <filters>74 59 2 5</filters>
+  <tally id="122">
+    <filters>80 65 2 5</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="123">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="124">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>total</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="125">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="126">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>total</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="127">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
-    <estimator>tracklength</estimator>
+    <estimator>analog</estimator>
   </tally>
   <tally id="128">
-    <filters>147 2</filters>
+    <filters>159 5 6</filters>
     <nuclides>total</nuclides>
-    <scores>total</scores>
-    <estimator>tracklength</estimator>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
   </tally>
   <tally id="129">
-    <filters>147 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="130">
-    <filters>147 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter-1</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="131">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="132">
-    <filters>147 2</filters>
+  <tally id="130">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>total</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="133">
-    <filters>147 2</filters>
+  <tally id="131">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="134">
-    <filters>147 5</filters>
+  <tally id="132">
+    <filters>159 5 6</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-1</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="133">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="134">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>absorption</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="135">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="136">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>absorption</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="137">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>fission</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="138">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="138">
-    <filters>147 2</filters>
-    <nuclides>total</nuclides>
-    <scores>absorption</scores>
-    <estimator>tracklength</estimator>
-  </tally>
   <tally id="139">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="140">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="141">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
-    <scores>fission</scores>
+    <scores>nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="142">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="143">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
+    <scores>kappa-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="144">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="145">
-    <filters>147 2</filters>
-    <nuclides>total</nuclides>
-    <scores>kappa-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="146">
-    <filters>147 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="147">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="146">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="147">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="148">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="149">
-    <filters>147 2</filters>
+    <filters>159 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="150">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="151">
-    <filters>147 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="152">
-    <filters>147 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="153">
-    <filters>147 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>nu-scatter-P3</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="154">
-    <filters>147 2 5</filters>
+    <filters>159 2 5 28</filters>
     <nuclides>total</nuclides>
     <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="155">
-    <filters>147 2 5</filters>
+  <tally id="152">
+    <filters>159 2 5</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="153">
+    <filters>159 2 5</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="154">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="155">
+    <filters>159 2 5</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-fission</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="156">
-    <filters>147 2</filters>
+    <filters>159 2 5</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="157">
-    <filters>147 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="158">
-    <filters>147 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="159">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="160">
-    <filters>147 2</filters>
+  <tally id="158">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="159">
+    <filters>159 2 5 28</filters>
+    <nuclides>total</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="160">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="161">
-    <filters>147 2 5</filters>
-    <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="162">
-    <filters>147 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="163">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>scatter</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="164">
-    <filters>147 2 5</filters>
+  <tally id="162">
+    <filters>159 2 5 28</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="163">
+    <filters>159 2 5</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="164">
+    <filters>159 52</filters>
+    <nuclides>total</nuclides>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="165">
-    <filters>147 2 5</filters>
+    <filters>159 5</filters>
     <nuclides>total</nuclides>
-    <scores>nu-scatter-0</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="166">
-    <filters>147 2 5</filters>
+    <filters>159 52</filters>
     <nuclides>total</nuclides>
-    <scores>scatter-0</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="167">
-    <filters>147 46</filters>
+    <filters>159 5</filters>
     <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="168">
-    <filters>147 5</filters>
-    <nuclides>total</nuclides>
-    <scores>nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="169">
-    <filters>147 46</filters>
-    <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="170">
-    <filters>147 5</filters>
-    <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="171">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="172">
-    <filters>147 2</filters>
+  <tally id="169">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>inverse-velocity</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="173">
-    <filters>147 2</filters>
+  <tally id="170">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="174">
-    <filters>147 2</filters>
+  <tally id="171">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>prompt-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="172">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="173">
+    <filters>159 2 5</filters>
+    <nuclides>total</nuclides>
+    <scores>prompt-nu-fission</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="174">
+    <filters>159 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="175">
-    <filters>147 2</filters>
+    <filters>159 65 2</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>analog</estimator>
+    <scores>delayed-nu-fission</scores>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="176">
-    <filters>147 2 5</filters>
+    <filters>159 65 52</filters>
     <nuclides>total</nuclides>
-    <scores>prompt-nu-fission</scores>
+    <scores>delayed-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="177">
-    <filters>147 2</filters>
+    <filters>159 65 5</filters>
     <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
+    <scores>delayed-nu-fission</scores>
+    <estimator>analog</estimator>
   </tally>
   <tally id="178">
-    <filters>147 59 2</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="179">
-    <filters>147 59 46</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="180">
-    <filters>147 59 5</filters>
-    <nuclides>total</nuclides>
-    <scores>delayed-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="181">
-    <filters>147 2</filters>
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="182">
-    <filters>147 59 2</filters>
+  <tally id="179">
+    <filters>159 65 2</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="183">
-    <filters>147 59 2</filters>
+  <tally id="180">
+    <filters>159 65 2</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="184">
-    <filters>147 59 2</filters>
+  <tally id="181">
+    <filters>159 65 2</filters>
     <nuclides>total</nuclides>
     <scores>decay-rate</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="185">
-    <filters>147 2</filters>
+  <tally id="182">
+    <filters>159 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="186">
-    <filters>147 59 2 5</filters>
+  <tally id="183">
+    <filters>159 65 2 5</filters>
     <nuclides>total</nuclides>
     <scores>delayed-nu-fission</scores>
     <estimator>analog</estimator>
diff --git a/tests/regression_tests/mgxs_library_no_nuclides/results_true.dat b/tests/regression_tests/mgxs_library_no_nuclides/results_true.dat
index 291c87dde9..d4c87378e8 100644
--- a/tests/regression_tests/mgxs_library_no_nuclides/results_true.dat
+++ b/tests/regression_tests/mgxs_library_no_nuclides/results_true.dat
@@ -28,40 +28,40 @@
    material  group in nuclide      mean  std. dev.
 1         1         1   total  0.385188   0.026946
 0         1         2   total  0.412389   0.015425
-    material  group in  group out nuclide moment      mean  std. dev.
-12         1         1          1   total     P0  0.384199   0.027001
-13         1         1          1   total     P1  0.051870   0.006983
-14         1         1          1   total     P2  0.020069   0.002846
-15         1         1          1   total     P3  0.009478   0.002234
-8          1         1          2   total     P0  0.000989   0.000482
-9          1         1          2   total     P1 -0.000207   0.000149
-10         1         1          2   total     P2 -0.000103   0.000184
-11         1         1          2   total     P3  0.000234   0.000128
-4          1         2          1   total     P0  0.000925   0.000925
-5          1         2          1   total     P1 -0.000768   0.000768
-6          1         2          1   total     P2  0.000494   0.000494
-7          1         2          1   total     P3 -0.000171   0.000172
-0          1         2          2   total     P0  0.411465   0.015245
-1          1         2          2   total     P1  0.016482   0.004502
-2          1         2          2   total     P2  0.006371   0.010551
-3          1         2          2   total     P3 -0.010499   0.010438
-    material  group in  group out nuclide moment      mean  std. dev.
-12         1         1          1   total     P0  0.384199   0.027001
-13         1         1          1   total     P1  0.051870   0.006983
-14         1         1          1   total     P2  0.020069   0.002846
-15         1         1          1   total     P3  0.009478   0.002234
-8          1         1          2   total     P0  0.000989   0.000482
-9          1         1          2   total     P1 -0.000207   0.000149
-10         1         1          2   total     P2 -0.000103   0.000184
-11         1         1          2   total     P3  0.000234   0.000128
-4          1         2          1   total     P0  0.000925   0.000925
-5          1         2          1   total     P1 -0.000768   0.000768
-6          1         2          1   total     P2  0.000494   0.000494
-7          1         2          1   total     P3 -0.000171   0.000172
-0          1         2          2   total     P0  0.411465   0.015245
-1          1         2          2   total     P1  0.016482   0.004502
-2          1         2          2   total     P2  0.006371   0.010551
-3          1         2          2   total     P3 -0.010499   0.010438
+    material  group in  group out legendre nuclide      mean  std. dev.
+12         1         1          1       P0   total  0.384199   0.027001
+13         1         1          1       P1   total  0.051870   0.006983
+14         1         1          1       P2   total  0.020069   0.002846
+15         1         1          1       P3   total  0.009478   0.002234
+8          1         1          2       P0   total  0.000989   0.000482
+9          1         1          2       P1   total -0.000207   0.000149
+10         1         1          2       P2   total -0.000103   0.000184
+11         1         1          2       P3   total  0.000234   0.000128
+4          1         2          1       P0   total  0.000925   0.000925
+5          1         2          1       P1   total -0.000768   0.000768
+6          1         2          1       P2   total  0.000494   0.000494
+7          1         2          1       P3   total -0.000171   0.000172
+0          1         2          2       P0   total  0.411465   0.015245
+1          1         2          2       P1   total  0.016482   0.004502
+2          1         2          2       P2   total  0.006371   0.010551
+3          1         2          2       P3   total -0.010499   0.010438
+    material  group in  group out legendre nuclide      mean  std. dev.
+12         1         1          1       P0   total  0.384199   0.027001
+13         1         1          1       P1   total  0.051870   0.006983
+14         1         1          1       P2   total  0.020069   0.002846
+15         1         1          1       P3   total  0.009478   0.002234
+8          1         1          2       P0   total  0.000989   0.000482
+9          1         1          2       P1   total -0.000207   0.000149
+10         1         1          2       P2   total -0.000103   0.000184
+11         1         1          2       P3   total  0.000234   0.000128
+4          1         2          1       P0   total  0.000925   0.000925
+5          1         2          1       P1   total -0.000768   0.000768
+6          1         2          1       P2   total  0.000494   0.000494
+7          1         2          1       P3   total -0.000171   0.000172
+0          1         2          2       P0   total  0.411465   0.015245
+1          1         2          2       P1   total  0.016482   0.004502
+2          1         2          2       P2   total  0.006371   0.010551
+3          1         2          2       P3   total -0.010499   0.010438
    material  group in  group out nuclide  mean  std. dev.
 3         1         1          1   total   1.0   0.078516
 2         1         1          2   total   1.0   0.687184
@@ -77,40 +77,40 @@
 2         1         1          2   total  0.002567   0.001256
 1         1         2          1   total  0.002242   0.002243
 0         1         2          2   total  0.997758   0.041053
-    material  group in  group out nuclide moment      mean  std. dev.
-12         1         1          1   total     P0  0.386423   0.036629
-13         1         1          1   total     P1  0.052170   0.007767
-14         1         1          1   total     P2  0.020185   0.003138
-15         1         1          1   total     P3  0.009533   0.002327
-8          1         1          2   total     P0  0.000995   0.000489
-9          1         1          2   total     P1 -0.000208   0.000150
-10         1         1          2   total     P2 -0.000104   0.000186
-11         1         1          2   total     P3  0.000236   0.000130
-4          1         2          1   total     P0  0.000887   0.000889
-5          1         2          1   total     P1 -0.000737   0.000738
-6          1         2          1   total     P2  0.000474   0.000475
-7          1         2          1   total     P3 -0.000165   0.000165
-0          1         2          2   total     P0  0.394772   0.029871
-1          1         2          2   total     P1  0.015813   0.004443
-2          1         2          2   total     P2  0.006113   0.010131
-3          1         2          2   total     P3 -0.010073   0.010037
-    material  group in  group out nuclide moment      mean  std. dev.
-12         1         1          1   total     P0  0.386423   0.047563
-13         1         1          1   total     P1  0.052170   0.008781
-14         1         1          1   total     P2  0.020185   0.003515
-15         1         1          1   total     P3  0.009533   0.002444
-8          1         1          2   total     P0  0.000995   0.000841
-9          1         1          2   total     P1 -0.000208   0.000208
-10         1         1          2   total     P2 -0.000104   0.000199
-11         1         1          2   total     P3  0.000236   0.000208
-4          1         2          1   total     P0  0.000887   0.001538
-5          1         2          1   total     P1 -0.000737   0.001277
-6          1         2          1   total     P2  0.000474   0.000821
-7          1         2          1   total     P3 -0.000165   0.000285
-0          1         2          2   total     P0  0.394772   0.033999
-1          1         2          2   total     P1  0.015813   0.004491
-2          1         2          2   total     P2  0.006113   0.010134
-3          1         2          2   total     P3 -0.010073   0.010045
+    material  group in  group out legendre nuclide      mean  std. dev.
+12         1         1          1       P0   total  0.386423   0.036629
+13         1         1          1       P1   total  0.052170   0.007767
+14         1         1          1       P2   total  0.020185   0.003138
+15         1         1          1       P3   total  0.009533   0.002327
+8          1         1          2       P0   total  0.000995   0.000489
+9          1         1          2       P1   total -0.000208   0.000150
+10         1         1          2       P2   total -0.000104   0.000186
+11         1         1          2       P3   total  0.000236   0.000130
+4          1         2          1       P0   total  0.000887   0.000889
+5          1         2          1       P1   total -0.000737   0.000738
+6          1         2          1       P2   total  0.000474   0.000475
+7          1         2          1       P3   total -0.000165   0.000165
+0          1         2          2       P0   total  0.394772   0.029871
+1          1         2          2       P1   total  0.015813   0.004443
+2          1         2          2       P2   total  0.006113   0.010131
+3          1         2          2       P3   total -0.010073   0.010037
+    material  group in  group out legendre nuclide      mean  std. dev.
+12         1         1          1       P0   total  0.386423   0.047563
+13         1         1          1       P1   total  0.052170   0.008781
+14         1         1          1       P2   total  0.020185   0.003515
+15         1         1          1       P3   total  0.009533   0.002444
+8          1         1          2       P0   total  0.000995   0.000841
+9          1         1          2       P1   total -0.000208   0.000208
+10         1         1          2       P2   total -0.000104   0.000199
+11         1         1          2       P3   total  0.000236   0.000208
+4          1         2          1       P0   total  0.000887   0.001538
+5          1         2          1       P1   total -0.000737   0.001277
+6          1         2          1       P2   total  0.000474   0.000821
+7          1         2          1       P3   total -0.000165   0.000285
+0          1         2          2       P0   total  0.394772   0.033999
+1          1         2          2       P1   total  0.015813   0.004491
+2          1         2          2       P2   total  0.006113   0.010134
+3          1         2          2       P3   total -0.010073   0.010045
    material  group out nuclide  mean  std. dev.
 1         1          1   total   1.0   0.046071
 0         1          2   total   0.0   0.000000
@@ -235,40 +235,40 @@
    material  group in nuclide      mean  std. dev.
 1         2         1   total  0.310121   0.033788
 0         2         2   total  0.296264   0.043792
-    material  group in  group out nuclide moment      mean  std. dev.
-12         2         1          1   total     P0  0.310121   0.033788
-13         2         1          1   total     P1  0.038230   0.008484
-14         2         1          1   total     P2  0.020745   0.004696
-15         2         1          1   total     P3  0.007964   0.003732
-8          2         1          2   total     P0  0.000000   0.000000
-9          2         1          2   total     P1  0.000000   0.000000
-10         2         1          2   total     P2  0.000000   0.000000
-11         2         1          2   total     P3  0.000000   0.000000
-4          2         2          1   total     P0  0.000000   0.000000
-5          2         2          1   total     P1  0.000000   0.000000
-6          2         2          1   total     P2  0.000000   0.000000
-7          2         2          1   total     P3  0.000000   0.000000
-0          2         2          2   total     P0  0.296264   0.043792
-1          2         2          2   total     P1 -0.011214   0.016180
-2          2         2          2   total     P2  0.008837   0.011504
-3          2         2          2   total     P3 -0.003270   0.007329
-    material  group in  group out nuclide moment      mean  std. dev.
-12         2         1          1   total     P0  0.310121   0.033788
-13         2         1          1   total     P1  0.038230   0.008484
-14         2         1          1   total     P2  0.020745   0.004696
-15         2         1          1   total     P3  0.007964   0.003732
-8          2         1          2   total     P0  0.000000   0.000000
-9          2         1          2   total     P1  0.000000   0.000000
-10         2         1          2   total     P2  0.000000   0.000000
-11         2         1          2   total     P3  0.000000   0.000000
-4          2         2          1   total     P0  0.000000   0.000000
-5          2         2          1   total     P1  0.000000   0.000000
-6          2         2          1   total     P2  0.000000   0.000000
-7          2         2          1   total     P3  0.000000   0.000000
-0          2         2          2   total     P0  0.296264   0.043792
-1          2         2          2   total     P1 -0.011214   0.016180
-2          2         2          2   total     P2  0.008837   0.011504
-3          2         2          2   total     P3 -0.003270   0.007329
+    material  group in  group out legendre nuclide      mean  std. dev.
+12         2         1          1       P0   total  0.310121   0.033788
+13         2         1          1       P1   total  0.038230   0.008484
+14         2         1          1       P2   total  0.020745   0.004696
+15         2         1          1       P3   total  0.007964   0.003732
+8          2         1          2       P0   total  0.000000   0.000000
+9          2         1          2       P1   total  0.000000   0.000000
+10         2         1          2       P2   total  0.000000   0.000000
+11         2         1          2       P3   total  0.000000   0.000000
+4          2         2          1       P0   total  0.000000   0.000000
+5          2         2          1       P1   total  0.000000   0.000000
+6          2         2          1       P2   total  0.000000   0.000000
+7          2         2          1       P3   total  0.000000   0.000000
+0          2         2          2       P0   total  0.296264   0.043792
+1          2         2          2       P1   total -0.011214   0.016180
+2          2         2          2       P2   total  0.008837   0.011504
+3          2         2          2       P3   total -0.003270   0.007329
+    material  group in  group out legendre nuclide      mean  std. dev.
+12         2         1          1       P0   total  0.310121   0.033788
+13         2         1          1       P1   total  0.038230   0.008484
+14         2         1          1       P2   total  0.020745   0.004696
+15         2         1          1       P3   total  0.007964   0.003732
+8          2         1          2       P0   total  0.000000   0.000000
+9          2         1          2       P1   total  0.000000   0.000000
+10         2         1          2       P2   total  0.000000   0.000000
+11         2         1          2       P3   total  0.000000   0.000000
+4          2         2          1       P0   total  0.000000   0.000000
+5          2         2          1       P1   total  0.000000   0.000000
+6          2         2          1       P2   total  0.000000   0.000000
+7          2         2          1       P3   total  0.000000   0.000000
+0          2         2          2       P0   total  0.296264   0.043792
+1          2         2          2       P1   total -0.011214   0.016180
+2          2         2          2       P2   total  0.008837   0.011504
+3          2         2          2       P3   total -0.003270   0.007329
    material  group in  group out nuclide  mean  std. dev.
 3         2         1          1   total   1.0   0.108779
 2         2         1          2   total   0.0   0.000000
@@ -284,40 +284,40 @@
 2         2         1          2   total   0.0   0.000000
 1         2         2          1   total   0.0   0.000000
 0         2         2          2   total   1.0   0.142427
-    material  group in  group out nuclide moment      mean  std. dev.
-12         2         1          1   total     P0  0.312163   0.037253
-13         2         1          1   total     P1  0.038481   0.008743
-14         2         1          1   total     P2  0.020882   0.004835
-15         2         1          1   total     P3  0.008017   0.003776
-8          2         1          2   total     P0  0.000000   0.000000
-9          2         1          2   total     P1  0.000000   0.000000
-10         2         1          2   total     P2  0.000000   0.000000
-11         2         1          2   total     P3  0.000000   0.000000
-4          2         2          1   total     P0  0.000000   0.000000
-5          2         2          1   total     P1  0.000000   0.000000
-6          2         2          1   total     P2  0.000000   0.000000
-7          2         2          1   total     P3  0.000000   0.000000
-0          2         2          2   total     P0  0.295421   0.050236
-1          2         2          2   total     P1 -0.011182   0.016162
-2          2         2          2   total     P2  0.008811   0.011495
-3          2         2          2   total     P3 -0.003261   0.007313
-    material  group in  group out nuclide moment      mean  std. dev.
-12         2         1          1   total     P0  0.312163   0.050407
-13         2         1          1   total     P1  0.038481   0.009693
-14         2         1          1   total     P2  0.020882   0.005342
-15         2         1          1   total     P3  0.008017   0.003876
-8          2         1          2   total     P0  0.000000   0.000000
-9          2         1          2   total     P1  0.000000   0.000000
-10         2         1          2   total     P2  0.000000   0.000000
-11         2         1          2   total     P3  0.000000   0.000000
-4          2         2          1   total     P0  0.000000   0.000000
-5          2         2          1   total     P1  0.000000   0.000000
-6          2         2          1   total     P2  0.000000   0.000000
-7          2         2          1   total     P3  0.000000   0.000000
-0          2         2          2   total     P0  0.295421   0.065529
-1          2         2          2   total     P1 -0.011182   0.016240
-2          2         2          2   total     P2  0.008811   0.011563
-3          2         2          2   total     P3 -0.003261   0.007328
+    material  group in  group out legendre nuclide      mean  std. dev.
+12         2         1          1       P0   total  0.312163   0.037253
+13         2         1          1       P1   total  0.038481   0.008743
+14         2         1          1       P2   total  0.020882   0.004835
+15         2         1          1       P3   total  0.008017   0.003776
+8          2         1          2       P0   total  0.000000   0.000000
+9          2         1          2       P1   total  0.000000   0.000000
+10         2         1          2       P2   total  0.000000   0.000000
+11         2         1          2       P3   total  0.000000   0.000000
+4          2         2          1       P0   total  0.000000   0.000000
+5          2         2          1       P1   total  0.000000   0.000000
+6          2         2          1       P2   total  0.000000   0.000000
+7          2         2          1       P3   total  0.000000   0.000000
+0          2         2          2       P0   total  0.295421   0.050236
+1          2         2          2       P1   total -0.011182   0.016162
+2          2         2          2       P2   total  0.008811   0.011495
+3          2         2          2       P3   total -0.003261   0.007313
+    material  group in  group out legendre nuclide      mean  std. dev.
+12         2         1          1       P0   total  0.312163   0.050407
+13         2         1          1       P1   total  0.038481   0.009693
+14         2         1          1       P2   total  0.020882   0.005342
+15         2         1          1       P3   total  0.008017   0.003876
+8          2         1          2       P0   total  0.000000   0.000000
+9          2         1          2       P1   total  0.000000   0.000000
+10         2         1          2       P2   total  0.000000   0.000000
+11         2         1          2       P3   total  0.000000   0.000000
+4          2         2          1       P0   total  0.000000   0.000000
+5          2         2          1       P1   total  0.000000   0.000000
+6          2         2          1       P2   total  0.000000   0.000000
+7          2         2          1       P3   total  0.000000   0.000000
+0          2         2          2       P0   total  0.295421   0.065529
+1          2         2          2       P1   total -0.011182   0.016240
+2          2         2          2       P2   total  0.008811   0.011563
+3          2         2          2       P3   total -0.003261   0.007328
    material  group out nuclide  mean  std. dev.
 1         2          1   total   0.0        0.0
 0         2          2   total   0.0        0.0
@@ -442,40 +442,40 @@
    material  group in nuclide      mean  std. dev.
 1         3         1   total  0.671269   0.026186
 0         3         2   total  2.035388   0.258060
-    material  group in  group out nuclide moment      mean  std. dev.
-12         3         1          1   total     P0  0.639901   0.024709
-13         3         1          1   total     P1  0.381167   0.016243
-14         3         1          1   total     P2  0.152392   0.008156
-15         3         1          1   total     P3  0.009148   0.003889
-8          3         1          2   total     P0  0.031368   0.001728
-9          3         1          2   total     P1  0.008758   0.000926
-10         3         1          2   total     P2 -0.002568   0.001014
-11         3         1          2   total     P3 -0.003785   0.000817
-4          3         2          1   total     P0  0.000443   0.000445
-5          3         2          1   total     P1  0.000400   0.000401
-6          3         2          1   total     P2  0.000320   0.000321
-7          3         2          1   total     P3  0.000214   0.000215
-0          3         2          2   total     P0  2.034945   0.257800
-1          3         2          2   total     P1  0.509940   0.051236
-2          3         2          2   total     P2  0.111175   0.013020
-3          3         2          2   total     P3  0.024988   0.008312
-    material  group in  group out nuclide moment      mean  std. dev.
-12         3         1          1   total     P0  0.639901   0.024709
-13         3         1          1   total     P1  0.381167   0.016243
-14         3         1          1   total     P2  0.152392   0.008156
-15         3         1          1   total     P3  0.009148   0.003889
-8          3         1          2   total     P0  0.031368   0.001728
-9          3         1          2   total     P1  0.008758   0.000926
-10         3         1          2   total     P2 -0.002568   0.001014
-11         3         1          2   total     P3 -0.003785   0.000817
-4          3         2          1   total     P0  0.000443   0.000445
-5          3         2          1   total     P1  0.000400   0.000401
-6          3         2          1   total     P2  0.000320   0.000321
-7          3         2          1   total     P3  0.000214   0.000215
-0          3         2          2   total     P0  2.034945   0.257800
-1          3         2          2   total     P1  0.509940   0.051236
-2          3         2          2   total     P2  0.111175   0.013020
-3          3         2          2   total     P3  0.024988   0.008312
+    material  group in  group out legendre nuclide      mean  std. dev.
+12         3         1          1       P0   total  0.639901   0.024709
+13         3         1          1       P1   total  0.381167   0.016243
+14         3         1          1       P2   total  0.152392   0.008156
+15         3         1          1       P3   total  0.009148   0.003889
+8          3         1          2       P0   total  0.031368   0.001728
+9          3         1          2       P1   total  0.008758   0.000926
+10         3         1          2       P2   total -0.002568   0.001014
+11         3         1          2       P3   total -0.003785   0.000817
+4          3         2          1       P0   total  0.000443   0.000445
+5          3         2          1       P1   total  0.000400   0.000401
+6          3         2          1       P2   total  0.000320   0.000321
+7          3         2          1       P3   total  0.000214   0.000215
+0          3         2          2       P0   total  2.034945   0.257800
+1          3         2          2       P1   total  0.509940   0.051236
+2          3         2          2       P2   total  0.111175   0.013020
+3          3         2          2       P3   total  0.024988   0.008312
+    material  group in  group out legendre nuclide      mean  std. dev.
+12         3         1          1       P0   total  0.639901   0.024709
+13         3         1          1       P1   total  0.381167   0.016243
+14         3         1          1       P2   total  0.152392   0.008156
+15         3         1          1       P3   total  0.009148   0.003889
+8          3         1          2       P0   total  0.031368   0.001728
+9          3         1          2       P1   total  0.008758   0.000926
+10         3         1          2       P2   total -0.002568   0.001014
+11         3         1          2       P3   total -0.003785   0.000817
+4          3         2          1       P0   total  0.000443   0.000445
+5          3         2          1       P1   total  0.000400   0.000401
+6          3         2          1       P2   total  0.000320   0.000321
+7          3         2          1       P3   total  0.000214   0.000215
+0          3         2          2       P0   total  2.034945   0.257800
+1          3         2          2       P1   total  0.509940   0.051236
+2          3         2          2       P2   total  0.111175   0.013020
+3          3         2          2       P3   total  0.024988   0.008312
    material  group in  group out nuclide  mean  std. dev.
 3         3         1          1   total   1.0   0.038609
 2         3         1          2   total   1.0   0.067667
@@ -491,40 +491,40 @@
 2         3         1          2   total  0.046729   0.002547
 1         3         2          1   total  0.000218   0.000219
 0         3         2          2   total  0.999782   0.135885
-    material  group in  group out nuclide moment      mean  std. dev.
-12         3         1          1   total     P0  0.632859   0.038142
-13         3         1          1   total     P1  0.376973   0.023715
-14         3         1          1   total     P2  0.150715   0.010664
-15         3         1          1   total     P3  0.009047   0.003868
-8          3         1          2   total     P0  0.031023   0.002232
-9          3         1          2   total     P1  0.008661   0.000999
-10         3         1          2   total     P2 -0.002540   0.001010
-11         3         1          2   total     P3 -0.003743   0.000826
-4          3         2          1   total     P0  0.000440   0.000445
-5          3         2          1   total     P1  0.000397   0.000401
-6          3         2          1   total     P2  0.000317   0.000321
-7          3         2          1   total     P3  0.000212   0.000215
-0          3         2          2   total     P0  2.020256   0.352194
-1          3         2          2   total     P1  0.506260   0.079140
-2          3         2          2   total     P2  0.110372   0.018488
-3          3         2          2   total     P3  0.024808   0.008771
-    material  group in  group out nuclide moment      mean  std. dev.
-12         3         1          1   total     P0  0.632859   0.045297
-13         3         1          1   total     P1  0.376973   0.027825
-14         3         1          1   total     P2  0.150715   0.012148
-15         3         1          1   total     P3  0.009047   0.003884
-8          3         1          2   total     P0  0.031023   0.003064
-9          3         1          2   total     P1  0.008661   0.001159
-10         3         1          2   total     P2 -0.002540   0.001024
-11         3         1          2   total     P3 -0.003743   0.000864
-4          3         2          1   total     P0  0.000440   0.000765
-5          3         2          1   total     P1  0.000397   0.000690
-6          3         2          1   total     P2  0.000317   0.000551
-7          3         2          1   total     P3  0.000212   0.000369
-0          3         2          2   total     P0  2.020256   0.446601
-1          3         2          2   total     P1  0.506260   0.104875
-2          3         2          2   total     P2  0.110372   0.023809
-3          3         2          2   total     P3  0.024808   0.009397
+    material  group in  group out legendre nuclide      mean  std. dev.
+12         3         1          1       P0   total  0.632859   0.038142
+13         3         1          1       P1   total  0.376973   0.023715
+14         3         1          1       P2   total  0.150715   0.010664
+15         3         1          1       P3   total  0.009047   0.003868
+8          3         1          2       P0   total  0.031023   0.002232
+9          3         1          2       P1   total  0.008661   0.000999
+10         3         1          2       P2   total -0.002540   0.001010
+11         3         1          2       P3   total -0.003743   0.000826
+4          3         2          1       P0   total  0.000440   0.000445
+5          3         2          1       P1   total  0.000397   0.000401
+6          3         2          1       P2   total  0.000317   0.000321
+7          3         2          1       P3   total  0.000212   0.000215
+0          3         2          2       P0   total  2.020256   0.352194
+1          3         2          2       P1   total  0.506260   0.079140
+2          3         2          2       P2   total  0.110372   0.018488
+3          3         2          2       P3   total  0.024808   0.008771
+    material  group in  group out legendre nuclide      mean  std. dev.
+12         3         1          1       P0   total  0.632859   0.045297
+13         3         1          1       P1   total  0.376973   0.027825
+14         3         1          1       P2   total  0.150715   0.012148
+15         3         1          1       P3   total  0.009047   0.003884
+8          3         1          2       P0   total  0.031023   0.003064
+9          3         1          2       P1   total  0.008661   0.001159
+10         3         1          2       P2   total -0.002540   0.001024
+11         3         1          2       P3   total -0.003743   0.000864
+4          3         2          1       P0   total  0.000440   0.000765
+5          3         2          1       P1   total  0.000397   0.000690
+6          3         2          1       P2   total  0.000317   0.000551
+7          3         2          1       P3   total  0.000212   0.000369
+0          3         2          2       P0   total  2.020256   0.446601
+1          3         2          2       P1   total  0.506260   0.104875
+2          3         2          2       P2   total  0.110372   0.023809
+3          3         2          2       P3   total  0.024808   0.009397
    material  group out nuclide  mean  std. dev.
 1         3          1   total   0.0        0.0
 0         3          2   total   0.0        0.0
diff --git a/tests/regression_tests/mgxs_library_nuclides/inputs_true.dat b/tests/regression_tests/mgxs_library_nuclides/inputs_true.dat
index b720bfcbba..f859d5f3ac 100644
--- a/tests/regression_tests/mgxs_library_nuclides/inputs_true.dat
+++ b/tests/regression_tests/mgxs_library_nuclides/inputs_true.dat
@@ -59,13 +59,19 @@
   <filter id="5" type="energyout">
     <bins>0.0 0.625 20000000.0</bins>
   </filter>
-  <filter id="46" type="energy">
+  <filter id="6" type="legendre">
+    <order>1</order>
+  </filter>
+  <filter id="28" type="legendre">
+    <order>3</order>
+  </filter>
+  <filter id="52" type="energy">
     <bins>0.0 20000000.0</bins>
   </filter>
-  <filter id="57" type="material">
+  <filter id="63" type="material">
     <bins>2</bins>
   </filter>
-  <filter id="113" type="material">
+  <filter id="125" type="material">
     <bins>3</bins>
   </filter>
   <tally id="1">
@@ -99,9 +105,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="6">
-    <filters>1 5</filters>
+    <filters>1 5 6</filters>
     <nuclides>U234 U235 U238 O16</nuclides>
-    <scores>scatter-1</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="7">
@@ -123,9 +129,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="10">
-    <filters>1 5</filters>
+    <filters>1 5 6</filters>
     <nuclides>U234 U235 U238 O16</nuclides>
-    <scores>nu-scatter-1</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="11">
@@ -225,9 +231,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="27">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>U234 U235 U238 O16</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="28">
@@ -237,9 +243,9 @@
     <estimator>analog</estimator>
   </tally>
   <tally id="29">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>U234 U235 U238 O16</nuclides>
-    <scores>nu-scatter-P3</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="30">
@@ -285,9 +291,9 @@
     <estimator>tracklength</estimator>
   </tally>
   <tally id="37">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>U234 U235 U238 O16</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="38">
@@ -303,703 +309,685 @@
     <estimator>tracklength</estimator>
   </tally>
   <tally id="40">
-    <filters>1 2 5</filters>
+    <filters>1 2 5 28</filters>
     <nuclides>U234 U235 U238 O16</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="41">
     <filters>1 2 5</filters>
     <nuclides>U234 U235 U238 O16</nuclides>
-    <scores>nu-scatter-0</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="42">
-    <filters>1 2 5</filters>
+    <filters>1 52</filters>
     <nuclides>U234 U235 U238 O16</nuclides>
-    <scores>scatter-0</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="43">
-    <filters>1 46</filters>
+    <filters>1 5</filters>
     <nuclides>U234 U235 U238 O16</nuclides>
     <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="44">
-    <filters>1 5</filters>
+    <filters>1 52</filters>
     <nuclides>U234 U235 U238 O16</nuclides>
-    <scores>nu-fission</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="45">
-    <filters>1 46</filters>
+    <filters>1 5</filters>
     <nuclides>U234 U235 U238 O16</nuclides>
     <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="46">
-    <filters>1 5</filters>
-    <nuclides>U234 U235 U238 O16</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="47">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="48">
+  <tally id="47">
     <filters>1 2</filters>
     <nuclides>U234 U235 U238 O16</nuclides>
     <scores>inverse-velocity</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="49">
+  <tally id="48">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="50">
+  <tally id="49">
     <filters>1 2</filters>
     <nuclides>U234 U235 U238 O16</nuclides>
     <scores>prompt-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="51">
+  <tally id="50">
     <filters>1 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="52">
+  <tally id="51">
     <filters>1 2 5</filters>
     <nuclides>U234 U235 U238 O16</nuclides>
     <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="53">
-    <filters>57 2</filters>
+  <tally id="52">
+    <filters>63 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="53">
+    <filters>63 2</filters>
+    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
+    <scores>total</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="54">
-    <filters>57 2</filters>
-    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>total</scores>
+    <filters>63 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="55">
-    <filters>57 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <filters>63 2</filters>
+    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
+    <scores>total</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="56">
-    <filters>57 2</filters>
-    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>total</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="57">
-    <filters>57 2</filters>
+    <filters>63 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="57">
+    <filters>63 5 6</filters>
+    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="58">
-    <filters>57 5</filters>
-    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>scatter-1</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="59">
-    <filters>57 2</filters>
+    <filters>63 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="60">
-    <filters>57 2</filters>
+  <tally id="59">
+    <filters>63 2</filters>
     <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
     <scores>total</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="61">
-    <filters>57 2</filters>
+  <tally id="60">
+    <filters>63 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="61">
+    <filters>63 5 6</filters>
+    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="62">
-    <filters>57 5</filters>
-    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>nu-scatter-1</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="63">
-    <filters>57 2</filters>
+    <filters>63 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="63">
+    <filters>63 2</filters>
+    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
+    <scores>absorption</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="64">
-    <filters>57 2</filters>
-    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>absorption</scores>
+    <filters>63 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="65">
-    <filters>57 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="66">
-    <filters>57 2</filters>
+    <filters>63 2</filters>
     <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
     <scores>absorption</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="67">
-    <filters>57 2</filters>
+  <tally id="66">
+    <filters>63 2</filters>
     <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
     <scores>fission</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="67">
+    <filters>63 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="68">
-    <filters>57 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="69">
-    <filters>57 2</filters>
+    <filters>63 2</filters>
     <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
     <scores>fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="70">
-    <filters>57 2</filters>
+  <tally id="69">
+    <filters>63 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="71">
-    <filters>57 2</filters>
+  <tally id="70">
+    <filters>63 2</filters>
     <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
     <scores>nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="72">
-    <filters>57 2</filters>
+  <tally id="71">
+    <filters>63 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="73">
-    <filters>57 2</filters>
+  <tally id="72">
+    <filters>63 2</filters>
     <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
     <scores>kappa-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="74">
-    <filters>57 2</filters>
+  <tally id="73">
+    <filters>63 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="74">
+    <filters>63 2</filters>
+    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
+    <scores>scatter</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="75">
-    <filters>57 2</filters>
-    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>scatter</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="76">
-    <filters>57 2</filters>
+    <filters>63 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="76">
+    <filters>63 2</filters>
+    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="77">
-    <filters>57 2</filters>
-    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>nu-scatter</scores>
+    <filters>63 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="78">
-    <filters>57 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <filters>63 2 5 28</filters>
+    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="79">
-    <filters>57 2 5</filters>
-    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>scatter-P3</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="80">
-    <filters>57 2</filters>
+    <filters>63 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="81">
-    <filters>57 2 5</filters>
-    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>nu-scatter-P3</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="82">
-    <filters>57 2 5</filters>
+  <tally id="80">
+    <filters>63 2 5 28</filters>
     <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
     <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="83">
-    <filters>57 2 5</filters>
+  <tally id="81">
+    <filters>63 2 5</filters>
+    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="82">
+    <filters>63 2 5</filters>
     <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
     <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="83">
+    <filters>63 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="84">
-    <filters>57 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <filters>63 2 5</filters>
+    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="85">
-    <filters>57 2 5</filters>
+    <filters>63 2 5</filters>
     <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>nu-fission</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="86">
-    <filters>57 2 5</filters>
-    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>scatter</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="87">
-    <filters>57 2</filters>
+    <filters>63 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="87">
+    <filters>63 2</filters>
+    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
+    <scores>scatter</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="88">
-    <filters>57 2</filters>
+    <filters>63 2 5 28</filters>
     <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
     <scores>scatter</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="89">
-    <filters>57 2 5</filters>
-    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>scatter-P3</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="90">
-    <filters>57 2</filters>
+  <tally id="89">
+    <filters>63 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="91">
-    <filters>57 2</filters>
+  <tally id="90">
+    <filters>63 2</filters>
     <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
     <scores>scatter</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="92">
-    <filters>57 2 5</filters>
+  <tally id="91">
+    <filters>63 2 5 28</filters>
     <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="92">
+    <filters>63 2 5</filters>
+    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="93">
-    <filters>57 2 5</filters>
+    <filters>63 52</filters>
     <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>nu-scatter-0</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="94">
-    <filters>57 2 5</filters>
+    <filters>63 5</filters>
     <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>scatter-0</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="95">
-    <filters>57 46</filters>
+    <filters>63 52</filters>
     <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>nu-fission</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="96">
-    <filters>57 5</filters>
+    <filters>63 5</filters>
     <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>nu-fission</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="97">
-    <filters>57 46</filters>
-    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
+    <filters>63 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="98">
-    <filters>57 5</filters>
+    <filters>63 2</filters>
     <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
+    <scores>inverse-velocity</scores>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="99">
-    <filters>57 2</filters>
+    <filters>63 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="100">
-    <filters>57 2</filters>
+    <filters>63 2</filters>
     <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>inverse-velocity</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="101">
-    <filters>57 2</filters>
+    <filters>63 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
-    <estimator>tracklength</estimator>
+    <estimator>analog</estimator>
   </tally>
   <tally id="102">
-    <filters>57 2</filters>
+    <filters>63 2 5</filters>
     <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
     <scores>prompt-nu-fission</scores>
-    <estimator>tracklength</estimator>
+    <estimator>analog</estimator>
   </tally>
   <tally id="103">
-    <filters>57 2</filters>
+    <filters>125 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
-    <estimator>analog</estimator>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="104">
-    <filters>57 2 5</filters>
-    <nuclides>Zr90 Zr91 Zr92 Zr94 Zr96</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
+    <filters>125 2</filters>
+    <nuclides>H1 O16 B10 B11</nuclides>
+    <scores>total</scores>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="105">
-    <filters>113 2</filters>
+    <filters>125 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="106">
-    <filters>113 2</filters>
+    <filters>125 2</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
     <scores>total</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="107">
-    <filters>113 2</filters>
+    <filters>125 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
-    <estimator>tracklength</estimator>
+    <estimator>analog</estimator>
   </tally>
   <tally id="108">
-    <filters>113 2</filters>
+    <filters>125 5 6</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
-    <scores>total</scores>
-    <estimator>tracklength</estimator>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
   </tally>
   <tally id="109">
-    <filters>113 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="110">
-    <filters>113 5</filters>
-    <nuclides>H1 O16 B10 B11</nuclides>
-    <scores>scatter-1</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="111">
-    <filters>113 2</filters>
+    <filters>125 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="112">
-    <filters>113 2</filters>
+  <tally id="110">
+    <filters>125 2</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
     <scores>total</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="113">
-    <filters>113 2</filters>
+  <tally id="111">
+    <filters>125 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="114">
-    <filters>113 5</filters>
+  <tally id="112">
+    <filters>125 5 6</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
-    <scores>nu-scatter-1</scores>
+    <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="113">
+    <filters>125 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="114">
+    <filters>125 2</filters>
+    <nuclides>H1 O16 B10 B11</nuclides>
+    <scores>absorption</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="115">
-    <filters>113 2</filters>
+    <filters>125 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="116">
-    <filters>113 2</filters>
+    <filters>125 2</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
     <scores>absorption</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="117">
-    <filters>113 2</filters>
+    <filters>125 2</filters>
+    <nuclides>H1 O16 B10 B11</nuclides>
+    <scores>fission</scores>
+    <estimator>tracklength</estimator>
+  </tally>
+  <tally id="118">
+    <filters>125 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="118">
-    <filters>113 2</filters>
-    <nuclides>H1 O16 B10 B11</nuclides>
-    <scores>absorption</scores>
-    <estimator>tracklength</estimator>
-  </tally>
   <tally id="119">
-    <filters>113 2</filters>
+    <filters>125 2</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
     <scores>fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="120">
-    <filters>113 2</filters>
+    <filters>125 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="121">
-    <filters>113 2</filters>
+    <filters>125 2</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
-    <scores>fission</scores>
+    <scores>nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="122">
-    <filters>113 2</filters>
+    <filters>125 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="123">
-    <filters>113 2</filters>
+    <filters>125 2</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
-    <scores>nu-fission</scores>
+    <scores>kappa-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="124">
-    <filters>113 2</filters>
+    <filters>125 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="125">
-    <filters>113 2</filters>
-    <nuclides>H1 O16 B10 B11</nuclides>
-    <scores>kappa-fission</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="126">
-    <filters>113 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="127">
-    <filters>113 2</filters>
+    <filters>125 2</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
     <scores>scatter</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="126">
+    <filters>125 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="127">
+    <filters>125 2</filters>
+    <nuclides>H1 O16 B10 B11</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="128">
-    <filters>113 2</filters>
+    <filters>125 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="129">
-    <filters>113 2</filters>
+    <filters>125 2 5 28</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
-    <scores>nu-scatter</scores>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="130">
-    <filters>113 2</filters>
+    <filters>125 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="131">
-    <filters>113 2 5</filters>
-    <nuclides>H1 O16 B10 B11</nuclides>
-    <scores>scatter-P3</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="132">
-    <filters>113 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="133">
-    <filters>113 2 5</filters>
-    <nuclides>H1 O16 B10 B11</nuclides>
-    <scores>nu-scatter-P3</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="134">
-    <filters>113 2 5</filters>
+    <filters>125 2 5 28</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
     <scores>nu-scatter</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="135">
-    <filters>113 2 5</filters>
+  <tally id="132">
+    <filters>125 2 5</filters>
+    <nuclides>H1 O16 B10 B11</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="133">
+    <filters>125 2 5</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
     <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
+  <tally id="134">
+    <filters>125 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="135">
+    <filters>125 2 5</filters>
+    <nuclides>H1 O16 B10 B11</nuclides>
+    <scores>nu-fission</scores>
+    <estimator>analog</estimator>
+  </tally>
   <tally id="136">
-    <filters>113 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
+    <filters>125 2 5</filters>
+    <nuclides>H1 O16 B10 B11</nuclides>
+    <scores>scatter</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="137">
-    <filters>113 2 5</filters>
-    <nuclides>H1 O16 B10 B11</nuclides>
-    <scores>nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="138">
-    <filters>113 2 5</filters>
-    <nuclides>H1 O16 B10 B11</nuclides>
-    <scores>scatter</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="139">
-    <filters>113 2</filters>
+    <filters>125 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="140">
-    <filters>113 2</filters>
+  <tally id="138">
+    <filters>125 2</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
     <scores>scatter</scores>
     <estimator>tracklength</estimator>
   </tally>
+  <tally id="139">
+    <filters>125 2 5 28</filters>
+    <nuclides>H1 O16 B10 B11</nuclides>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="140">
+    <filters>125 2</filters>
+    <nuclides>total</nuclides>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
+  </tally>
   <tally id="141">
-    <filters>113 2 5</filters>
-    <nuclides>H1 O16 B10 B11</nuclides>
-    <scores>scatter-P3</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="142">
-    <filters>113 2</filters>
-    <nuclides>total</nuclides>
-    <scores>flux</scores>
-    <estimator>tracklength</estimator>
-  </tally>
-  <tally id="143">
-    <filters>113 2</filters>
+    <filters>125 2</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
     <scores>scatter</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="144">
-    <filters>113 2 5</filters>
+  <tally id="142">
+    <filters>125 2 5 28</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
-    <scores>scatter-P3</scores>
+    <scores>scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="143">
+    <filters>125 2 5</filters>
+    <nuclides>H1 O16 B10 B11</nuclides>
+    <scores>nu-scatter</scores>
+    <estimator>analog</estimator>
+  </tally>
+  <tally id="144">
+    <filters>125 52</filters>
+    <nuclides>H1 O16 B10 B11</nuclides>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="145">
-    <filters>113 2 5</filters>
+    <filters>125 5</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
-    <scores>nu-scatter-0</scores>
+    <scores>nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="146">
-    <filters>113 2 5</filters>
+    <filters>125 52</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
-    <scores>scatter-0</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="147">
-    <filters>113 46</filters>
+    <filters>125 5</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
-    <scores>nu-fission</scores>
+    <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="148">
-    <filters>113 5</filters>
-    <nuclides>H1 O16 B10 B11</nuclides>
-    <scores>nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="149">
-    <filters>113 46</filters>
-    <nuclides>H1 O16 B10 B11</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="150">
-    <filters>113 5</filters>
-    <nuclides>H1 O16 B10 B11</nuclides>
-    <scores>prompt-nu-fission</scores>
-    <estimator>analog</estimator>
-  </tally>
-  <tally id="151">
-    <filters>113 2</filters>
+    <filters>125 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="152">
-    <filters>113 2</filters>
+  <tally id="149">
+    <filters>125 2</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
     <scores>inverse-velocity</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="153">
-    <filters>113 2</filters>
+  <tally id="150">
+    <filters>125 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="154">
-    <filters>113 2</filters>
+  <tally id="151">
+    <filters>125 2</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
     <scores>prompt-nu-fission</scores>
     <estimator>tracklength</estimator>
   </tally>
-  <tally id="155">
-    <filters>113 2</filters>
+  <tally id="152">
+    <filters>125 2</filters>
     <nuclides>total</nuclides>
     <scores>flux</scores>
     <estimator>analog</estimator>
   </tally>
-  <tally id="156">
-    <filters>113 2 5</filters>
+  <tally id="153">
+    <filters>125 2 5</filters>
     <nuclides>H1 O16 B10 B11</nuclides>
     <scores>prompt-nu-fission</scores>
     <estimator>analog</estimator>
diff --git a/tests/regression_tests/mgxs_library_nuclides/results_true.dat b/tests/regression_tests/mgxs_library_nuclides/results_true.dat
index a0315ebbc6..577694cfa5 100644
--- a/tests/regression_tests/mgxs_library_nuclides/results_true.dat
+++ b/tests/regression_tests/mgxs_library_nuclides/results_true.dat
@@ -1 +1 @@
-174d1593a15de41e2aba88cc4c48fc3a400314b400571a0328dfdf7482df111b3ac9701dbd196d06668b49d3acaa67d766702db0942c03140e9e004942f7bdfd
\ No newline at end of file
+0edd3036c0b5b1eebad90dc8fba25006f14745ceb51dd109e70d0c610d66071f32128facdbc6d4e5077534fe96fff9a8e0ddeefb4a18d6c578f8e805bab7aa22
\ No newline at end of file
diff --git a/tests/regression_tests/sourcepoint_restart/results_true.dat b/tests/regression_tests/sourcepoint_restart/results_true.dat
index f726da973c..e210748bf6 100644
--- a/tests/regression_tests/sourcepoint_restart/results_true.dat
+++ b/tests/regression_tests/sourcepoint_restart/results_true.dat
@@ -3,62 +3,26 @@ k-combined:
 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
 7.719234E-03
 2.632582E-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
 2.976389E-04
 8.858890E-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
 8.816168E-04
 7.772482E-07
 1.000000E-03
 1.000000E-06
-8.782909E-04
-7.713950E-07
-6.570925E-04
-4.317705E-07
-3.763366E-04
-1.416293E-07
 0.000000E+00
 0.000000E+00
 2.100000E-02
 1.150000E-04
-5.280651E-03
-1.222273E-05
-5.235520E-03
-1.202448E-05
-5.064093E-03
-1.787892E-05
 1.071093E-02
 2.748612E-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
 8.954045E-04
 2.673851E-07
 0.000000E+00
@@ -69,76 +33,28 @@ 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
 3.100000E-02
 2.130000E-04
-1.472240E-02
-5.500913E-05
-1.077445E-02
-2.987369E-05
-6.729425E-03
-1.249089E-05
 1.363637E-02
 4.345510E-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
 1.182717E-03
 5.268980E-07
 2.000000E-03
 2.000000E-06
--1.367978E-03
-9.381191E-07
-4.071787E-04
-9.316064E-08
-4.394728E-04
-1.064342E-07
 2.110880E-03
 1.737594E-06
 1.000000E-03
 1.000000E-06
-9.347357E-04
-8.737309E-07
-8.105963E-04
-6.570664E-07
-6.396651E-04
-4.091714E-07
 2.938723E-04
 8.636091E-08
 2.300000E-02
 1.330000E-04
-1.081756E-02
-3.675127E-05
-2.530156E-03
-6.960955E-06
--1.930911E-03
-4.910249E-06
 1.162826E-02
 3.490280E-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
 8.957100E-04
 4.402864E-07
 0.000000E+00
@@ -149,36 +65,12 @@ 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
 1.000000E-02
 3.400000E-05
-4.086838E-03
-5.900874E-06
-1.812330E-03
-3.716159E-06
-2.138941E-03
-3.006748E-06
 5.414128E-03
 8.079333E-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
 3.079654E-04
 9.484271E-08
 0.000000E+00
@@ -189,36 +81,12 @@ 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
 1.700000E-02
 7.100000E-05
-5.492922E-03
-1.013834E-05
-5.773309E-04
-3.561549E-06
-2.550048E-03
-3.841061E-06
 8.048522E-03
 1.583843E-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
 1.749885E-07
 0.000000E+00
@@ -229,156 +97,60 @@ 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
 2.700000E-02
 1.670000E-04
-1.789444E-02
-8.260005E-05
-1.049872E-02
-2.774537E-05
-5.665111E-03
-8.560197E-06
 1.100708E-02
 2.835295E-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
 3.079654E-04
 9.484271E-08
 1.000000E-03
 1.000000E-06
--2.856031E-04
-8.156913E-08
--3.776463E-04
-1.426167E-07
-3.701637E-04
-1.370211E-07
 1.203064E-03
 7.240967E-07
 1.000000E-03
 1.000000E-06
-9.705482E-04
-9.419638E-07
-9.129457E-04
-8.334699E-07
-8.297310E-04
-6.884535E-07
 0.000000E+00
 0.000000E+00
 4.400000E-02
 4.320000E-04
-1.141886E-02
-4.208707E-05
-9.213446E-03
-2.259305E-05
-9.177440E-03
-2.088782E-05
 2.116869E-02
 9.629046E-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
 1.501009E-03
 6.405021E-07
 1.000000E-03
 1.000000E-06
-5.882614E-04
-3.460515E-07
-1.907719E-05
-3.639390E-10
--3.734703E-04
-1.394801E-07
 1.472277E-03
 9.506217E-07
 2.000000E-03
 2.000000E-06
-1.830192E-03
-1.679505E-06
-1.519257E-03
-1.189525E-06
-1.118506E-03
-7.332971E-07
 2.977039E-04
 8.862762E-08
 2.000000E-02
 1.080000E-04
-8.640372E-03
-1.765553E-05
-5.688468E-03
-1.038555E-05
-2.447898E-03
-4.466055E-06
 8.949667E-03
 1.935056E-05
 0.000000E+00
 0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
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 2.121142E-03
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@@ -389,316 +161,124 @@ tally 1:
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@@ -709,66 +289,24 @@ tally 1:
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@@ -777,128 +315,50 @@ tally 1:
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@@ -909,76 +369,28 @@ tally 1:
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@@ -989,76 +401,28 @@ tally 1:
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@@ -1069,116 +433,44 @@ tally 1:
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 2.976389E-04
 8.858890E-08
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@@ -1189,26 +481,8 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 1.484493E-03
 9.722886E-07
 0.000000E+00
@@ -1223,122 +497,44 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 2.300000E-02
 1.650000E-04
-9.507197E-03
-3.773476E-05
-6.295609E-03
-2.127696E-05
-6.339840E-03
-1.601206E-05
 1.065253E-02
 3.447907E-05
 0.000000E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 1.000000E-03
 1.000000E-06
--1.117213E-04
-1.248165E-08
--4.812775E-04
-2.316281E-07
-1.640958E-04
-2.692743E-08
 5.871336E-04
 3.447259E-07
 0.000000E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 3.100000E-02
 2.030000E-04
-1.194795E-02
-4.198084E-05
-8.484089E-03
-1.631808E-05
-5.880364E-03
-1.308096E-05
 1.342551E-02
 3.842917E-05
 0.000000E+00
 0.000000E+00
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-0.000000E+00
 5.915762E-04
 1.749885E-07
 1.000000E-03
 1.000000E-06
--5.881991E-05
-3.459782E-09
--4.948103E-04
-2.448373E-07
-8.772111E-05
-7.694993E-09
 5.871336E-04
 3.447259E-07
 0.000000E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 1.900000E-02
 8.700000E-05
-5.469796E-03
-1.029265E-05
-4.923561E-04
-2.403244E-06
-2.579361E-03
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 8.693502E-03
 1.682273E-05
 0.000000E+00
 0.000000E+00
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-0.000000E+00
-0.000000E+00
 2.976389E-04
 8.858890E-08
 0.000000E+00
@@ -1349,26 +545,8 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-0.000000E+00
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 8.000000E-03
 1.600000E-05
-5.411154E-03
-8.076329E-06
-3.145940E-03
-4.212660E-06
-2.637510E-03
-3.210372E-06
 3.866943E-03
 3.257876E-06
 0.000000E+00
@@ -1377,48 +555,18 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
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 1.175489E-03
 1.381775E-06
 1.000000E-03
 1.000000E-06
-7.809681E-04
-6.099112E-07
-4.148668E-04
-1.721145E-07
-1.935089E-05
-3.744570E-10
 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
 4.063213E-06
 0.000000E+00
 0.000000E+00
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-0.000000E+00
-0.000000E+00
 2.938723E-04
 8.636091E-08
 0.000000E+00
@@ -1429,36 +577,12 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
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 2.800000E-02
 1.780000E-04
-1.190615E-02
-4.434442E-05
-7.332993E-03
-2.337416E-05
-6.867008E-03
-1.321552E-05
 1.283876E-02
 3.527487E-05
 0.000000E+00
 0.000000E+00
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-0.000000E+00
-0.000000E+00
 5.954078E-04
 3.545105E-07
 0.000000E+00
@@ -1469,66 +593,24 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-0.000000E+00
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 4.000000E-02
 3.880000E-04
-6.620484E-03
-3.751545E-05
-9.255367E-03
-1.963463E-05
-7.761524E-03
-1.694944E-05
 1.659048E-02
 7.200873E-05
 0.000000E+00
 0.000000E+00
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-0.000000E+00
 2.976389E-04
 8.858890E-08
 1.000000E-03
 1.000000E-06
--5.273064E-04
-2.780520E-07
--8.292201E-05
-6.876059E-09
-4.244131E-04
-1.801265E-07
 8.891500E-04
 4.407165E-07
 0.000000E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 1.200000E-02
 3.400000E-05
-5.905081E-03
-1.535048E-05
-3.856089E-03
-8.589511E-06
-3.244585E-03
-5.882222E-06
 5.074320E-03
 5.793165E-06
 0.000000E+00
@@ -1543,32 +625,8 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-0.000000E+00
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 4.000000E-03
 8.000000E-06
-1.520286E-03
-4.076900E-06
-2.191143E-03
-3.717004E-06
-1.161623E-03
-3.726099E-06
 3.570375E-03
 5.251426E-06
 0.000000E+00
@@ -1583,42 +641,12 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-0.000000E+00
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-0.000000E+00
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 4.000000E-03
 4.000000E-06
-3.379122E-03
-2.880429E-06
-2.320644E-03
-1.498759E-06
-1.119131E-03
-6.212863E-07
 1.494579E-03
 6.241235E-07
 0.000000E+00
 0.000000E+00
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-0.000000E+00
-0.000000E+00
 2.976389E-04
 8.858890E-08
 0.000000E+00
@@ -1629,76 +657,28 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-0.000000E+00
-0.000000E+00
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 3.100000E-02
 1.950000E-04
-1.338410E-02
-5.097757E-05
-6.794436E-03
-1.428226E-05
-3.939298E-03
-9.052046E-06
 1.250316E-02
 3.147175E-05
 0.000000E+00
 0.000000E+00
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 5.953428E-04
 1.772165E-07
 1.000000E-03
 1.000000E-06
--5.747626E-05
-3.303520E-09
--4.950447E-04
-2.450693E-07
-8.573970E-05
-7.351297E-09
 5.954078E-04
 3.545105E-07
 1.000000E-03
 1.000000E-06
-9.748367E-04
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-8.537292E-04
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 0.000000E+00
 0.000000E+00
 2.600000E-02
 1.800000E-04
-1.225587E-02
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-7.670283E-03
-2.316758E-05
-5.282346E-03
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 1.162837E-02
 3.241150E-05
 0.000000E+00
 0.000000E+00
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-0.000000E+00
 5.874391E-04
 1.725424E-07
 0.000000E+00
@@ -1709,66 +689,24 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 1.900000E-02
 9.900000E-05
-7.244455E-03
-2.708286E-05
-4.601657E-03
-5.366244E-06
--1.675270E-03
-3.867377E-06
 9.216754E-03
 2.272207E-05
 0.000000E+00
 0.000000E+00
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 3.079654E-04
 9.484271E-08
 0.000000E+00
 0.000000E+00
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 6.159309E-04
 3.793709E-07
 0.000000E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 6.000000E-03
 1.000000E-05
-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
@@ -1799,66 +737,12 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-0.000000E+00
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 1.500000E-02
 6.300000E-05
-5.790211E-03
-1.210465E-05
-8.591246E-04
-1.950998E-06
-1.987991E-03
-4.703397E-06
 6.572185E-03
 9.479065E-06
 0.000000E+00
 0.000000E+00
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 5.954078E-04
 3.545105E-07
 0.000000E+00
@@ -1869,26 +753,8 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-0.000000E+00
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 1.900000E-02
 1.030000E-04
-3.010784E-03
-6.984061E-06
-5.243839E-03
-8.093978E-06
--2.502286E-04
-2.564795E-06
 7.760558E-03
 1.654841E-05
 0.000000E+00
@@ -1897,48 +763,18 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 2.935668E-04
 8.618147E-08
 1.000000E-03
 1.000000E-06
-9.333938E-04
-8.712239E-07
-8.068359E-04
-6.509841E-07
-6.328968E-04
-4.005583E-07
 0.000000E+00
 0.000000E+00
 1.800000E-02
 1.220000E-04
-6.860987E-03
-2.966806E-05
-4.229750E-03
-1.617998E-05
-1.295452E-03
-8.613003E-07
 7.815192E-03
 2.039362E-05
 0.000000E+00
 0.000000E+00
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 2.935668E-04
 8.618147E-08
 0.000000E+00
@@ -1965,50 +801,8 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 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
 1.198310E-06
 0.000000E+00
@@ -2023,32 +817,8 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-0.000000E+00
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 1.900000E-02
 1.030000E-04
-3.892013E-03
-8.267134E-06
-3.385502E-03
-6.457947E-06
-4.380506E-03
-1.060881E-05
 7.130794E-03
 1.485134E-05
 0.000000E+00
@@ -2057,78 +827,30 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-0.000000E+00
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 8.816168E-04
 7.772482E-07
 1.000000E-03
 1.000000E-06
-9.951010E-04
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-9.853389E-04
-9.708928E-07
-9.707856E-04
-9.424246E-07
 0.000000E+00
 0.000000E+00
 2.900000E-02
 1.970000E-04
-4.944370E-03
-2.340271E-05
-3.891346E-03
-1.137205E-05
-5.738303E-03
-9.169816E-06
 1.046961E-02
 2.353870E-05
 0.000000E+00
 0.000000E+00
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 6.056694E-04
 1.834703E-07
 0.000000E+00
 0.000000E+00
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 1.203064E-03
 7.240967E-07
 2.000000E-03
 2.000000E-06
-1.696621E-03
-1.449397E-06
-1.174096E-03
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-5.719051E-04
-3.184788E-07
 0.000000E+00
 0.000000E+00
 1.600000E-02
 5.400000E-05
-7.937805E-03
-1.353584E-05
-4.065443E-03
-5.658333E-06
-3.432476E-03
-3.530320E-06
 6.546902E-03
 9.343143E-06
 0.000000E+00
@@ -2143,32 +865,8 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
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 2.000000E-03
 2.000000E-06
-1.447007E-04
-7.721849E-07
-1.582773E-04
-4.841114E-08
-1.981705E-04
-2.166687E-07
 9.135698E-04
 4.679598E-07
 0.000000E+00
@@ -2199,176 +897,56 @@ tally 1:
 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
 1.000000E-02
 2.600000E-05
-5.875085E-04
-4.563904E-07
--9.207198E-05
-5.154496E-07
-3.674257E-05
-1.178281E-06
 5.048984E-03
 5.880389E-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
 3.079654E-04
 9.484271E-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
 5.952777E-04
 3.543556E-07
 1.000000E-03
 1.000000E-06
-9.362621E-04
-8.765867E-07
-8.148801E-04
-6.640295E-07
-6.473941E-04
-4.191191E-07
 0.000000E+00
 0.000000E+00
 2.000000E-02
 9.000000E-05
-5.358616E-03
-1.697599E-05
-3.060277E-03
-7.132281E-06
-2.485730E-03
-7.247489E-06
 9.248312E-03
 1.738407E-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
 8.991711E-04
 2.696131E-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
 5.954078E-04
 3.545105E-07
 1.000000E-03
 1.000000E-06
-9.816220E-04
-9.635817E-07
-9.453726E-04
-8.937294E-07
-8.922496E-04
-7.961093E-07
 0.000000E+00
 0.000000E+00
 8.000000E-03
 1.800000E-05
-4.925975E-03
-6.260377E-06
-3.176938E-03
-2.631319E-06
-2.008278E-03
-1.484516E-06
 3.844641E-03
 4.075868E-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
 2.977039E-04
 8.862762E-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
 9.238963E-04
 8.535844E-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
 1.000000E-03
 1.000000E-06
--3.865739E-04
-1.494394E-07
--2.758409E-04
-7.608820E-08
-4.354374E-04
-1.896058E-07
 5.871336E-04
 3.447259E-07
 0.000000E+00
@@ -2383,24 +961,6 @@ 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
 tally 2:
 5.656886E-01
 6.401440E-02
diff --git a/tests/regression_tests/sourcepoint_restart/tallies.xml b/tests/regression_tests/sourcepoint_restart/tallies.xml
index db9b2ed75c..60bf6b268b 100644
--- a/tests/regression_tests/sourcepoint_restart/tallies.xml
+++ b/tests/regression_tests/sourcepoint_restart/tallies.xml
@@ -30,7 +30,7 @@
 
   <tally id="10">
     <filters>1 2 3</filters>
-    <scores>scatter-P3 nu-fission</scores>
+    <scores>scatter nu-fission</scores>
   </tally>
 
   <tally id="5">
diff --git a/tests/regression_tests/statepoint_restart/results_true.dat b/tests/regression_tests/statepoint_restart/results_true.dat
index f726da973c..c35ff46b8d 100644
--- a/tests/regression_tests/statepoint_restart/results_true.dat
+++ b/tests/regression_tests/statepoint_restart/results_true.dat
@@ -3,62 +3,38 @@ k-combined:
 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
+1.100000E-02
+3.700000E-05
 7.719234E-03
 2.632582E-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
 2.976389E-04
 8.858890E-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
 8.816168E-04
 7.772482E-07
 1.000000E-03
 1.000000E-06
-8.782909E-04
-7.713950E-07
-6.570925E-04
-4.317705E-07
-3.763366E-04
-1.416293E-07
+1.000000E-03
+1.000000E-06
 0.000000E+00
 0.000000E+00
 2.100000E-02
 1.150000E-04
-5.280651E-03
-1.222273E-05
-5.235520E-03
-1.202448E-05
-5.064093E-03
-1.787892E-05
+2.100000E-02
+1.150000E-04
 1.071093E-02
 2.748612E-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
 8.954045E-04
 2.673851E-07
 0.000000E+00
@@ -73,72 +49,40 @@ 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
 3.100000E-02
 2.130000E-04
-1.472240E-02
-5.500913E-05
-1.077445E-02
-2.987369E-05
-6.729425E-03
-1.249089E-05
+3.100000E-02
+2.130000E-04
 1.363637E-02
 4.345510E-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
 1.182717E-03
 5.268980E-07
 2.000000E-03
 2.000000E-06
--1.367978E-03
-9.381191E-07
-4.071787E-04
-9.316064E-08
-4.394728E-04
-1.064342E-07
+3.000000E-03
+5.000000E-06
 2.110880E-03
 1.737594E-06
 1.000000E-03
 1.000000E-06
-9.347357E-04
-8.737309E-07
-8.105963E-04
-6.570664E-07
-6.396651E-04
-4.091714E-07
+1.000000E-03
+1.000000E-06
 2.938723E-04
 8.636091E-08
 2.300000E-02
 1.330000E-04
-1.081756E-02
-3.675127E-05
-2.530156E-03
-6.960955E-06
--1.930911E-03
-4.910249E-06
+2.300000E-02
+1.330000E-04
 1.162826E-02
 3.490280E-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
 8.957100E-04
 4.402864E-07
 0.000000E+00
@@ -153,32 +97,16 @@ 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
 1.000000E-02
 3.400000E-05
-4.086838E-03
-5.900874E-06
-1.812330E-03
-3.716159E-06
-2.138941E-03
-3.006748E-06
+1.000000E-02
+3.400000E-05
 5.414128E-03
 8.079333E-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
 3.079654E-04
 9.484271E-08
 0.000000E+00
@@ -193,32 +121,16 @@ 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
 1.700000E-02
 7.100000E-05
-5.492922E-03
-1.013834E-05
-5.773309E-04
-3.561549E-06
-2.550048E-03
-3.841061E-06
+1.700000E-02
+7.100000E-05
 8.048522E-03
 1.583843E-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
 1.749885E-07
 0.000000E+00
@@ -233,152 +145,88 @@ 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
 2.700000E-02
 1.670000E-04
-1.789444E-02
-8.260005E-05
-1.049872E-02
-2.774537E-05
-5.665111E-03
-8.560197E-06
+2.700000E-02
+1.670000E-04
 1.100708E-02
 2.835295E-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
 3.079654E-04
 9.484271E-08
 1.000000E-03
 1.000000E-06
--2.856031E-04
-8.156913E-08
--3.776463E-04
-1.426167E-07
-3.701637E-04
-1.370211E-07
+1.000000E-03
+1.000000E-06
 1.203064E-03
 7.240967E-07
 1.000000E-03
 1.000000E-06
-9.705482E-04
-9.419638E-07
-9.129457E-04
-8.334699E-07
-8.297310E-04
-6.884535E-07
+1.000000E-03
+1.000000E-06
 0.000000E+00
 0.000000E+00
 4.400000E-02
 4.320000E-04
-1.141886E-02
-4.208707E-05
-9.213446E-03
-2.259305E-05
-9.177440E-03
-2.088782E-05
+4.400000E-02
+4.320000E-04
 2.116869E-02
 9.629046E-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
 1.501009E-03
 6.405021E-07
 1.000000E-03
 1.000000E-06
-5.882614E-04
-3.460515E-07
-1.907719E-05
-3.639390E-10
--3.734703E-04
-1.394801E-07
+1.000000E-03
+1.000000E-06
 1.472277E-03
 9.506217E-07
 2.000000E-03
 2.000000E-06
-1.830192E-03
-1.679505E-06
-1.519257E-03
-1.189525E-06
-1.118506E-03
-7.332971E-07
+2.000000E-03
+2.000000E-06
 2.977039E-04
 8.862762E-08
 2.000000E-02
 1.080000E-04
-8.640372E-03
-1.765553E-05
-5.688468E-03
-1.038555E-05
-2.447898E-03
-4.466055E-06
+2.000000E-02
+1.080000E-04
 8.949667E-03
 1.935056E-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
 2.977039E-04
 8.862762E-08
 1.000000E-03
 1.000000E-06
--3.805163E-04
-1.447926E-07
--2.828111E-04
-7.998210E-08
-4.330345E-04
-1.875189E-07
+1.000000E-03
+1.000000E-06
 2.121142E-03
 1.958355E-06
 1.000000E-03
 1.000000E-06
-9.260022E-04
-8.574800E-07
-7.862200E-04
-6.181419E-07
-5.960676E-04
-3.552966E-07
+1.000000E-03
+1.000000E-06
 2.938723E-04
 8.636091E-08
 1.000000E-02
 3.400000E-05
-4.840884E-03
-1.080853E-05
-3.402096E-03
-4.113972E-06
-1.374077E-03
-2.333511E-06
+1.000000E-02
+3.400000E-05
 4.754696E-03
 7.172309E-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
 3.079654E-04
 9.484271E-08
 0.000000E+00
@@ -393,122 +241,70 @@ 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
 1.300000E-02
 3.700000E-05
-3.121167E-03
-2.465327E-06
-4.474559E-04
-1.522316E-06
-9.193982E-04
-3.247292E-06
+1.300000E-02
+3.700000E-05
 5.365659E-03
 6.567979E-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
 6.056043E-04
 1.834316E-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
 2.977039E-04
 8.862762E-08
 1.000000E-03
 1.000000E-06
-2.390376E-04
-5.713899E-08
--4.142915E-04
-1.716375E-07
--3.244105E-04
-1.052422E-07
+1.000000E-03
+1.000000E-06
 0.000000E+00
 0.000000E+00
 2.900000E-02
 2.230000E-04
-6.260565E-03
-1.544092E-05
-7.061757E-03
-2.562385E-05
-3.982541E-03
-7.962565E-06
+2.900000E-02
+2.230000E-04
 1.486928E-02
 5.763901E-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
 1.749885E-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
 5.954078E-04
 3.545105E-07
 1.000000E-03
 1.000000E-06
-9.938157E-04
-9.876697E-07
-9.815046E-04
-9.633512E-07
-9.631807E-04
-9.277170E-07
+1.000000E-03
+1.000000E-06
 0.000000E+00
 0.000000E+00
 2.900000E-02
 1.990000E-04
-1.237546E-02
-3.198261E-05
-8.287792E-03
-2.747313E-05
-3.254969E-03
-8.653294E-06
+2.900000E-02
+1.990000E-04
 1.189702E-02
 3.303340E-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
 9.033082E-04
 2.720592E-07
 3.000000E-03
 3.000000E-06
-3.649225E-04
-1.756075E-06
-1.134112E-03
-8.940601E-07
--9.392028E-04
-5.872882E-07
+4.000000E-03
+6.000000E-06
 1.484187E-03
 9.721092E-07
 0.000000E+00
@@ -517,188 +313,112 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
 2.500000E-02
 1.390000E-04
-1.511834E-02
-5.459835E-05
-7.753447E-03
-2.291820E-05
-6.142979E-03
-1.359405E-05
+2.500000E-02
+1.390000E-04
 1.043467E-02
 2.526768E-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
 5.912057E-04
 1.747704E-07
 1.000000E-03
 1.000000E-06
--1.098110E-04
-1.205846E-08
--4.819123E-04
-2.322395E-07
-1.614061E-04
-2.605194E-08
+1.000000E-03
+1.000000E-06
 8.813114E-04
 4.316251E-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
 8.618147E-08
 1.900000E-02
 1.030000E-04
-1.035735E-02
-3.119381E-05
-6.483551E-03
-1.164471E-05
-3.924334E-03
-6.047577E-06
+1.900000E-02
+1.030000E-04
 9.748672E-03
 2.956633E-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
 3.079654E-04
 9.484271E-08
 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
 2.935668E-04
 8.618147E-08
 1.000000E-03
 1.000000E-06
-8.623139E-04
-7.435852E-07
-6.153778E-04
-3.786899E-07
-3.095388E-04
-9.581428E-08
+1.000000E-03
+1.000000E-06
 0.000000E+00
 0.000000E+00
 7.000000E-03
 1.500000E-05
-3.445754E-03
-3.819507E-06
-2.124056E-03
-1.976201E-06
-1.542203E-03
-1.531669E-06
+7.000000E-03
+1.500000E-05
 4.135720E-03
 4.532611E-06
 0.000000E+00
 0.000000E+00
 0.000000E+00
 0.000000E+00
-0.000000E+00
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 5.874391E-04
 1.725424E-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
 3.079654E-04
 9.484271E-08
 1.000000E-03
 1.000000E-06
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@@ -713,62 +433,34 @@ tally 1:
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@@ -781,124 +473,72 @@ tally 1:
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 1.792523E-03
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@@ -913,42 +553,22 @@ tally 1:
 0.000000E+00
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@@ -957,28 +577,16 @@ tally 1:
 0.000000E+00
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 1.174573E-03
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@@ -993,72 +601,40 @@ tally 1:
 0.000000E+00
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@@ -1073,112 +649,64 @@ tally 1:
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@@ -1193,22 +721,10 @@ tally 1:
 0.000000E+00
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@@ -1229,26 +745,10 @@ tally 1:
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@@ -1257,18 +757,10 @@ tally 1:
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@@ -1277,38 +769,22 @@ tally 1:
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@@ -1317,28 +793,16 @@ tally 1:
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@@ -1353,22 +817,10 @@ tally 1:
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@@ -1381,44 +833,24 @@ tally 1:
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@@ -1433,32 +865,16 @@ tally 1:
 0.000000E+00
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@@ -1473,42 +889,22 @@ tally 1:
 0.000000E+00
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@@ -1517,18 +913,10 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
 1.200000E-02
 3.400000E-05
-5.905081E-03
-1.535048E-05
-3.856089E-03
-8.589511E-06
-3.244585E-03
-5.882222E-06
+1.200000E-02
+3.400000E-05
 5.074320E-03
 5.793165E-06
 0.000000E+00
@@ -1549,26 +937,10 @@ 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
 4.000000E-03
 8.000000E-06
-1.520286E-03
-4.076900E-06
-2.191143E-03
-3.717004E-06
-1.161623E-03
-3.726099E-06
+4.000000E-03
+8.000000E-06
 3.570375E-03
 5.251426E-06
 0.000000E+00
@@ -1589,36 +961,16 @@ 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
 4.000000E-03
 4.000000E-06
-3.379122E-03
-2.880429E-06
-2.320644E-03
-1.498759E-06
-1.119131E-03
-6.212863E-07
+4.000000E-03
+4.000000E-06
 1.494579E-03
 6.241235E-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
 2.976389E-04
 8.858890E-08
 0.000000E+00
@@ -1633,72 +985,40 @@ 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
 3.100000E-02
 1.950000E-04
-1.338410E-02
-5.097757E-05
-6.794436E-03
-1.428226E-05
-3.939298E-03
-9.052046E-06
+3.100000E-02
+1.950000E-04
 1.250316E-02
 3.147175E-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
 5.953428E-04
 1.772165E-07
 1.000000E-03
 1.000000E-06
--5.747626E-05
-3.303520E-09
--4.950447E-04
-2.450693E-07
-8.573970E-05
-7.351297E-09
+1.000000E-03
+1.000000E-06
 5.954078E-04
 3.545105E-07
 1.000000E-03
 1.000000E-06
-9.748367E-04
-9.503066E-07
-9.254598E-04
-8.564759E-07
-8.537292E-04
-7.288535E-07
+1.000000E-03
+1.000000E-06
 0.000000E+00
 0.000000E+00
 2.600000E-02
 1.800000E-04
-1.225587E-02
-3.757196E-05
-7.670283E-03
-2.316758E-05
-5.282346E-03
-1.407031E-05
+2.600000E-02
+1.800000E-04
 1.162837E-02
 3.241150E-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
 5.874391E-04
 1.725424E-07
 0.000000E+00
@@ -1713,42 +1033,22 @@ 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
 1.900000E-02
 9.900000E-05
-7.244455E-03
-2.708286E-05
-4.601657E-03
-5.366244E-06
--1.675270E-03
-3.867377E-06
+1.900000E-02
+9.900000E-05
 9.216754E-03
 2.272207E-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
 3.079654E-04
 9.484271E-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
 6.159309E-04
 3.793709E-07
 0.000000E+00
@@ -1757,18 +1057,10 @@ tally 1:
 0.000000E+00
 0.000000E+00
 0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
-0.000000E+00
 6.000000E-03
 1.000000E-05
-1.316884E-03
-2.894217E-06
-2.095957E-03
-1.439521E-06
-1.013831E-04
-8.405300E-07
+6.000000E-03
+1.000000E-05
 2.404012E-03
 1.641294E-06
 0.000000E+00
@@ -1813,52 +1105,16 @@ 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
 1.500000E-02
 6.300000E-05
-5.790211E-03
-1.210465E-05
-8.591246E-04
-1.950998E-06
-1.987991E-03
-4.703397E-06
+1.500000E-02
+6.300000E-05
 6.572185E-03
 9.479065E-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
 5.954078E-04
 3.545105E-07
 0.000000E+00
@@ -1873,22 +1129,10 @@ 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
 1.900000E-02
 1.030000E-04
-3.010784E-03
-6.984061E-06
-5.243839E-03
-8.093978E-06
--2.502286E-04
-2.564795E-06
+1.900000E-02
+1.030000E-04
 7.760558E-03
 1.654841E-05
 0.000000E+00
@@ -1901,44 +1145,24 @@ 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
 2.935668E-04
 8.618147E-08
 1.000000E-03
 1.000000E-06
-9.333938E-04
-8.712239E-07
-8.068359E-04
-6.509841E-07
-6.328968E-04
-4.005583E-07
+1.000000E-03
+1.000000E-06
 0.000000E+00
 0.000000E+00
 1.800000E-02
 1.220000E-04
-6.860987E-03
-2.966806E-05
-4.229750E-03
-1.617998E-05
-1.295452E-03
-8.613003E-07
+1.800000E-02
+1.220000E-04
 7.815192E-03
 2.039362E-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
 2.935668E-04
 8.618147E-08
 0.000000E+00
@@ -1977,38 +1201,10 @@ 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
 2.000000E-03
 2.000000E-06
-1.502634E-03
-1.146555E-06
-7.198331E-04
-3.484978E-07
--3.426513E-05
-1.342349E-07
+2.000000E-03
+2.000000E-06
 1.511030E-03
 1.198310E-06
 0.000000E+00
@@ -2029,26 +1225,10 @@ 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
 1.900000E-02
 1.030000E-04
-3.892013E-03
-8.267134E-06
-3.385502E-03
-6.457947E-06
-4.380506E-03
-1.060881E-05
+1.900000E-02
+1.030000E-04
 7.130794E-03
 1.485134E-05
 0.000000E+00
@@ -2061,74 +1241,42 @@ 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
 8.816168E-04
 7.772482E-07
 1.000000E-03
 1.000000E-06
-9.951010E-04
-9.902260E-07
-9.853389E-04
-9.708928E-07
-9.707856E-04
-9.424246E-07
+1.000000E-03
+1.000000E-06
 0.000000E+00
 0.000000E+00
 2.900000E-02
 1.970000E-04
-4.944370E-03
-2.340271E-05
-3.891346E-03
-1.137205E-05
-5.738303E-03
-9.169816E-06
+2.900000E-02
+1.970000E-04
 1.046961E-02
 2.353870E-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
 6.056694E-04
 1.834703E-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
 1.203064E-03
 7.240967E-07
 2.000000E-03
 2.000000E-06
-1.696621E-03
-1.449397E-06
-1.174096E-03
-7.548933E-07
-5.719051E-04
-3.184788E-07
+2.000000E-03
+2.000000E-06
 0.000000E+00
 0.000000E+00
 1.600000E-02
 5.400000E-05
-7.937805E-03
-1.353584E-05
-4.065443E-03
-5.658333E-06
-3.432476E-03
-3.530320E-06
+1.600000E-02
+5.400000E-05
 6.546902E-03
 9.343143E-06
 0.000000E+00
@@ -2149,26 +1297,10 @@ 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
 2.000000E-03
 2.000000E-06
-1.447007E-04
-7.721849E-07
-1.582773E-04
-4.841114E-08
-1.981705E-04
-2.166687E-07
+2.000000E-03
+2.000000E-06
 9.135698E-04
 4.679598E-07
 0.000000E+00
@@ -2213,142 +1345,70 @@ 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
 1.000000E-02
 2.600000E-05
-5.875085E-04
-4.563904E-07
--9.207198E-05
-5.154496E-07
-3.674257E-05
-1.178281E-06
+1.000000E-02
+2.600000E-05
 5.048984E-03
 5.880389E-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
 3.079654E-04
 9.484271E-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
 5.952777E-04
 3.543556E-07
 1.000000E-03
 1.000000E-06
-9.362621E-04
-8.765867E-07
-8.148801E-04
-6.640295E-07
-6.473941E-04
-4.191191E-07
+1.000000E-03
+1.000000E-06
 0.000000E+00
 0.000000E+00
 2.000000E-02
 9.000000E-05
-5.358616E-03
-1.697599E-05
-3.060277E-03
-7.132281E-06
-2.485730E-03
-7.247489E-06
+2.000000E-02
+9.000000E-05
 9.248312E-03
 1.738407E-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
 8.991711E-04
 2.696131E-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
 5.954078E-04
 3.545105E-07
 1.000000E-03
 1.000000E-06
-9.816220E-04
-9.635817E-07
-9.453726E-04
-8.937294E-07
-8.922496E-04
-7.961093E-07
+1.000000E-03
+1.000000E-06
 0.000000E+00
 0.000000E+00
 8.000000E-03
 1.800000E-05
-4.925975E-03
-6.260377E-06
-3.176938E-03
-2.631319E-06
-2.008278E-03
-1.484516E-06
+8.000000E-03
+1.800000E-05
 3.844641E-03
 4.075868E-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
 2.977039E-04
 8.862762E-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
 9.238963E-04
 8.535844E-07
 0.000000E+00
@@ -2357,18 +1417,10 @@ tally 1:
 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
--3.865739E-04
-1.494394E-07
--2.758409E-04
-7.608820E-08
-4.354374E-04
-1.896058E-07
+1.000000E-03
+1.000000E-06
 5.871336E-04
 3.447259E-07
 0.000000E+00
@@ -2389,18 +1441,6 @@ 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
 tally 2:
 5.656886E-01
 6.401440E-02
diff --git a/tests/regression_tests/statepoint_restart/tallies.xml b/tests/regression_tests/statepoint_restart/tallies.xml
index db9b2ed75c..c7dff36f0d 100644
--- a/tests/regression_tests/statepoint_restart/tallies.xml
+++ b/tests/regression_tests/statepoint_restart/tallies.xml
@@ -30,7 +30,7 @@
 
   <tally id="10">
     <filters>1 2 3</filters>
-    <scores>scatter-P3 nu-fission</scores>
+    <scores>scatter nu-scatter nu-fission</scores>
   </tally>
 
   <tally id="5">
diff --git a/tests/regression_tests/tallies/inputs_true.dat b/tests/regression_tests/tallies/inputs_true.dat
index 2c33a8fa0d..6e7b5f3f02 100644
--- a/tests/regression_tests/tallies/inputs_true.dat
+++ b/tests/regression_tests/tallies/inputs_true.dat
@@ -341,13 +341,19 @@
   <filter id="9" type="polar">
     <bins>0.0 0.6283 1.2566 1.885 2.5132 3.14159</bins>
   </filter>
-  <filter id="10" type="universe">
+  <filter id="10" type="legendre">
+    <order>4</order>
+  </filter>
+  <filter cosine="particle" id="11" type="sphericalharmonics">
+    <order>4</order>
+  </filter>
+  <filter id="12" type="universe">
     <bins>1 2 3 4 6 8</bins>
   </filter>
-  <filter id="11" type="cell">
+  <filter id="13" type="cell">
     <bins>10 21 22 23 60</bins>
   </filter>
-  <filter id="12" type="cell">
+  <filter id="14" type="cell">
     <bins>21 22 23 27 28 29 60</bins>
   </filter>
   <tally id="1">
@@ -414,80 +420,80 @@
   </tally>
   <tally id="15">
     <filters>10</filters>
-    <scores>total</scores>
+    <scores>scatter nu-scatter</scores>
   </tally>
   <tally id="16">
     <filters>11</filters>
-    <scores>absorption delayed-nu-fission events fission inverse-velocity kappa-fission (n,2n) (n,n1) (n,gamma) nu-fission scatter elastic total prompt-nu-fission fission-q-prompt fission-q-recoverable</scores>
-    <estimator>tracklength</estimator>
+    <scores>scatter nu-scatter flux total</scores>
   </tally>
   <tally id="17">
     <filters>11</filters>
-    <scores>absorption delayed-nu-fission events fission inverse-velocity kappa-fission (n,2n) (n,n1) (n,gamma) nu-fission scatter elastic total prompt-nu-fission fission-q-prompt fission-q-recoverable</scores>
-    <estimator>analog</estimator>
+    <scores>flux total</scores>
   </tally>
   <tally id="18">
     <filters>11</filters>
-    <scores>absorption delayed-nu-fission events fission inverse-velocity kappa-fission (n,2n) (n,n1) (n,gamma) nu-fission scatter elastic total prompt-nu-fission fission-q-prompt fission-q-recoverable</scores>
-    <estimator>collision</estimator>
+    <scores>flux total</scores>
   </tally>
   <tally id="19">
     <filters>12</filters>
-    <scores>flux</scores>
+    <scores>total</scores>
   </tally>
   <tally id="20">
-    <filters>12</filters>
-    <scores>flux-y5</scores>
+    <filters>13</filters>
+    <scores>absorption delayed-nu-fission events fission inverse-velocity kappa-fission (n,2n) (n,n1) (n,gamma) nu-fission scatter elastic total prompt-nu-fission fission-q-prompt fission-q-recoverable</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="21">
-    <filters>12</filters>
-    <scores>flux-y5</scores>
+    <filters>13</filters>
+    <scores>absorption delayed-nu-fission events fission inverse-velocity kappa-fission (n,2n) (n,n1) (n,gamma) nu-fission scatter elastic total prompt-nu-fission fission-q-prompt fission-q-recoverable</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="22">
-    <filters>12</filters>
-    <scores>flux-y5</scores>
+    <filters>13</filters>
+    <scores>absorption delayed-nu-fission events fission inverse-velocity kappa-fission (n,2n) (n,n1) (n,gamma) nu-fission scatter elastic total prompt-nu-fission fission-q-prompt fission-q-recoverable</scores>
     <estimator>collision</estimator>
   </tally>
   <tally id="23">
-    <filters>11</filters>
-    <scores>scatter scatter-1 scatter-2 scatter-3 scatter-4 nu-scatter nu-scatter-1 nu-scatter-2 nu-scatter-3 nu-scatter-4</scores>
+    <filters>14</filters>
+    <scores>flux</scores>
+    <estimator>tracklength</estimator>
   </tally>
   <tally id="24">
-    <filters>11</filters>
-    <scores>scatter-p4 scatter-y4 nu-scatter-p4 nu-scatter-y3</scores>
+    <filters>14</filters>
+    <scores>flux</scores>
+    <estimator>analog</estimator>
   </tally>
   <tally id="25">
-    <filters>11</filters>
-    <scores>total</scores>
+    <filters>14</filters>
+    <scores>flux</scores>
+    <estimator>collision</estimator>
   </tally>
   <tally id="26">
-    <filters>11</filters>
+    <filters>13</filters>
     <nuclides>U235 total</nuclides>
-    <scores>total-y4</scores>
+    <scores>total</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="27">
-    <filters>11</filters>
+    <filters>13</filters>
     <nuclides>U235 total</nuclides>
-    <scores>total-y4</scores>
+    <scores>total</scores>
     <estimator>analog</estimator>
   </tally>
   <tally id="28">
-    <filters>11</filters>
+    <filters>13</filters>
     <nuclides>U235 total</nuclides>
-    <scores>total-y4</scores>
+    <scores>total</scores>
     <estimator>collision</estimator>
   </tally>
   <tally id="29">
-    <filters>11</filters>
+    <filters>13</filters>
     <nuclides>all</nuclides>
     <scores>total</scores>
     <estimator>tracklength</estimator>
   </tally>
   <tally id="30">
-    <filters>11</filters>
+    <filters>13</filters>
     <nuclides>all</nuclides>
     <scores>total</scores>
     <estimator>collision</estimator>
diff --git a/tests/regression_tests/tallies/results_true.dat b/tests/regression_tests/tallies/results_true.dat
index e9c0865fd5..b1cef30fef 100644
--- a/tests/regression_tests/tallies/results_true.dat
+++ b/tests/regression_tests/tallies/results_true.dat
@@ -1 +1 @@
-13014f42dea87bf6c1fc0d41361cdba8a7e32a8f809d348567dfce638c849f58a0c0f17065c199946db81a264ef72db850aea93b0e11adf4f70ec969e30529cd
\ No newline at end of file
+8cf1936c565c6a09bffe2f7a0623ded1405bae37c1de8159551e64b86ca4f6bce82890a630b9428bcf8353f6de8e5cfc1f1a4263fd51a1c6b5cddb0a9c2ff368
\ No newline at end of file
diff --git a/tests/regression_tests/tallies/test.py b/tests/regression_tests/tallies/test.py
index e3aebfd986..601b611f49 100644
--- a/tests/regression_tests/tallies/test.py
+++ b/tests/regression_tests/tallies/test.py
@@ -1,5 +1,6 @@
 from openmc.filter import *
-from openmc import Mesh, Tally, Tallies
+from openmc.filter_expansion import *
+from openmc import Mesh, Tally
 
 from tests.testing_harness import HashedPyAPITestHarness
 
@@ -28,8 +29,8 @@ def test_tallies():
     azimuthal_tally2.estimator = 'analog'
 
     mesh_2x2 = Mesh(mesh_id=1)
-    mesh_2x2.lower_left  = [-182.07, -182.07]
-    mesh_2x2.upper_right = [182.07,  182.07]
+    mesh_2x2.lower_left = [-182.07, -182.07]
+    mesh_2x2.upper_right = [182.07, 182.07]
     mesh_2x2.dimension = [2, 2]
     mesh_filter = MeshFilter(mesh_2x2)
     azimuthal_tally3 = Tally()
@@ -97,6 +98,28 @@ def test_tallies():
     polar_tally3.scores = ['flux']
     polar_tally3.estimator = 'tracklength'
 
+    legendre_filter = LegendreFilter(order=4)
+    legendre_tally = Tally()
+    legendre_tally.filters = [legendre_filter]
+    legendre_tally.scores = ['scatter', 'nu-scatter']
+    legendre_tally.estimatir = 'analog'
+
+    harmonics_filter = SphericalHarmonicsFilter(order=4)
+    harmonics_tally = Tally()
+    harmonics_tally.filters = [harmonics_filter]
+    harmonics_tally.scores = ['scatter', 'nu-scatter', 'flux', 'total']
+    harmonics_tally.estimatir = 'analog'
+
+    harmonics_tally2 = Tally()
+    harmonics_tally2.filters = [harmonics_filter]
+    harmonics_tally2.scores = ['flux', 'total']
+    harmonics_tally2.estimatir = 'collision'
+
+    harmonics_tally3 = Tally()
+    harmonics_tally3.filters = [harmonics_filter]
+    harmonics_tally3.scores = ['flux', 'total']
+    harmonics_tally3.estimatir = 'tracklength'
+
     universe_tally = Tally()
     universe_tally.filters = [
         UniverseFilter((model.geometry.get_all_universes()[1],
@@ -120,37 +143,22 @@ def test_tallies():
     score_tallies[2].estimator = 'collision'
 
     cell_filter2 = CellFilter((21, 22, 23, 27, 28, 29, 60))
-    flux_tallies = [Tally() for i in range(4)]
+    flux_tallies = [Tally() for i in range(3)]
     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'
+        t.scores = ['flux']
+    flux_tallies[0].estimator = 'tracklength'
+    flux_tallies[1].estimator = 'analog'
+    flux_tallies[2].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)]
+    total_tallies = [Tally() for i in range(3)]
     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.scores = ['total']
         t.nuclides = ['U235', 'total']
-    total_tallies[1].estimator = 'tracklength'
-    total_tallies[2].estimator = 'analog'
-    total_tallies[3].estimator = 'collision'
+    total_tallies[0].estimator = 'tracklength'
+    total_tallies[1].estimator = 'analog'
+    total_tallies[2].estimator = 'collision'
 
     all_nuclide_tallies = [Tally() for i in range(4)]
     for t in all_nuclide_tallies:
@@ -167,10 +175,10 @@ def test_tallies():
         azimuthal_tally1, azimuthal_tally2, azimuthal_tally3,
         cellborn_tally, dg_tally, energy_tally, energyout_tally,
         transfer_tally, material_tally, mu_tally1, mu_tally2,
-        polar_tally1, polar_tally2, polar_tally3, universe_tally]
+        polar_tally1, polar_tally2, polar_tally3, legendre_tally,
+        harmonics_tally, harmonics_tally2, harmonics_tally3, universe_tally]
     model.tallies += score_tallies
     model.tallies += flux_tallies
-    model.tallies += (scatter_tally1, scatter_tally2)
     model.tallies += total_tallies
     model.tallies += all_nuclide_tallies
 
diff --git a/tests/regression_tests/track_output/test.py b/tests/regression_tests/track_output/test.py
index 22eac03bfc..a5300a4aed 100644
--- a/tests/regression_tests/track_output/test.py
+++ b/tests/regression_tests/track_output/test.py
@@ -19,7 +19,7 @@ class TrackTestHarness(TestHarness):
     def _get_results(self):
         """Digest info in the statepoint and return as a string."""
         # Run the track-to-vtk conversion script.
-        call(['../../scripts/openmc-track-to-vtk', '-o', 'poly'] +
+        call(['../../../scripts/openmc-track-to-vtk', '-o', 'poly'] +
              glob.glob('track_1_1_*.h5'))
 
         # Make sure the vtk file was created then return it's contents.
diff --git a/tests/unit_tests/test_capi.py b/tests/unit_tests/test_capi.py
index 8bc6c3d15c..a21e858fda 100644
--- a/tests/unit_tests/test_capi.py
+++ b/tests/unit_tests/test_capi.py
@@ -4,6 +4,7 @@ import os
 import numpy as np
 import pytest
 import openmc
+import openmc.exceptions as exc
 import openmc.capi
 
 from tests import cdtemp
@@ -60,7 +61,7 @@ def test_cell(capi_init):
 
 
 def test_new_cell(capi_init):
-    with pytest.raises(openmc.capi.AllocationError):
+    with pytest.raises(exc.AllocationError):
         openmc.capi.Cell(1)
     new_cell = openmc.capi.Cell()
     new_cell_with_id = openmc.capi.Cell(10)
@@ -91,7 +92,7 @@ def test_material(capi_init):
 
 
 def test_new_material(capi_init):
-    with pytest.raises(openmc.capi.AllocationError):
+    with pytest.raises(exc.AllocationError):
         openmc.capi.Material(1)
     new_mat = openmc.capi.Material()
     new_mat_with_id = openmc.capi.Material(10)
@@ -109,7 +110,7 @@ def test_nuclide_mapping(capi_init):
 
 def test_load_nuclide(capi_init):
     openmc.capi.load_nuclide('Pu239')
-    with pytest.raises(openmc.capi.DataError):
+    with pytest.raises(exc.DataError):
         openmc.capi.load_nuclide('Pu3')
 
 
@@ -145,7 +146,7 @@ def test_tally(capi_init):
     assert isinstance(t.filters[1], openmc.capi.EnergyFilter)
 
     # Create new filter and replace existing
-    with pytest.raises(openmc.capi.AllocationError):
+    with pytest.raises(exc.AllocationError):
         openmc.capi.MaterialFilter(uid=1)
     mats = openmc.capi.materials
     f = openmc.capi.MaterialFilter([mats[2], mats[1]])
@@ -153,7 +154,7 @@ def test_tally(capi_init):
     assert t.filters == [f]
 
     assert t.nuclides == ['U235', 'U238']
-    with pytest.raises(openmc.capi.DataError):
+    with pytest.raises(exc.DataError):
         t.nuclides = ['Zr2']
     t.nuclides = ['U234', 'Zr90']
     assert t.nuclides == ['U234', 'Zr90']
@@ -163,9 +164,13 @@ def test_tally(capi_init):
     t.scores = new_scores
     assert t.scores == new_scores
 
+    assert not t.active
+    t.active = True
+    assert t.active
+
 
 def test_new_tally(capi_init):
-    with pytest.raises(openmc.capi.AllocationError):
+    with pytest.raises(exc.AllocationError):
         openmc.capi.Material(1)
     new_tally = openmc.capi.Tally()
     new_tally.scores = ['flux']
@@ -176,7 +181,7 @@ def test_new_tally(capi_init):
 
 def test_tally_results(capi_run):
     t = openmc.capi.tallies[1]
-    assert t.num_realizations == 5
+    assert t.num_realizations == 10  # t was made active in test_tally
     assert np.all(t.mean >= 0)
     nonzero = (t.mean > 0.0)
     assert np.all(t.std_dev[nonzero] >= 0)
@@ -206,7 +211,7 @@ def test_by_batch(capi_run):
 
     # Running next batch before simulation is initialized should raise an
     # exception
-    with pytest.raises(openmc.capi.AllocationError):
+    with pytest.raises(exc.AllocationError):
         openmc.capi.next_batch()
 
     openmc.capi.simulation_init()
@@ -241,7 +246,7 @@ def test_find_cell(capi_init):
     assert cell is openmc.capi.cells[1]
     cell, instance = openmc.capi.find_cell((0.4, 0., 0.))
     assert cell is openmc.capi.cells[2]
-    with pytest.raises(openmc.capi.GeometryError):
+    with pytest.raises(exc.GeometryError):
         openmc.capi.find_cell((100., 100., 100.))
 
 
@@ -250,3 +255,38 @@ def test_find_material(capi_init):
     assert mat is openmc.capi.materials[1]
     mat = openmc.capi.find_material((0.4, 0., 0.))
     assert mat is openmc.capi.materials[2]
+
+
+def test_mesh(capi_init):
+    mesh = openmc.capi.Mesh()
+    mesh.dimension = (2, 3, 4)
+    assert mesh.dimension == (2, 3, 4)
+    with pytest.raises(exc.AllocationError):
+        mesh2 = openmc.capi.Mesh(mesh.id)
+
+    # Make sure each combination of parameters works
+    ll = (0., 0., 0.)
+    ur = (10., 10., 10.)
+    width = (1., 1., 1.)
+    mesh.set_parameters(lower_left=ll, upper_right=ur)
+    assert mesh.lower_left == pytest.approx(ll)
+    assert mesh.upper_right == pytest.approx(ur)
+    mesh.set_parameters(lower_left=ll, width=width)
+    assert mesh.lower_left == pytest.approx(ll)
+    assert mesh.width == pytest.approx(width)
+    mesh.set_parameters(upper_right=ur, width=width)
+    assert mesh.upper_right == pytest.approx(ur)
+    assert mesh.width == pytest.approx(width)
+
+    meshes = openmc.capi.meshes
+    assert isinstance(meshes, Mapping)
+    assert len(meshes) == 1
+    for mesh_id, mesh in meshes.items():
+        assert isinstance(mesh, openmc.capi.Mesh)
+        assert mesh_id == mesh.id
+
+    mf = openmc.capi.MeshFilter(mesh)
+    assert mf.mesh == mesh
+
+    msf = openmc.capi.MeshSurfaceFilter(mesh)
+    assert msf.mesh == mesh
diff --git a/tests/unit_tests/test_data_neutron.py b/tests/unit_tests/test_data_neutron.py
index 5713bfbc57..03746430d9 100644
--- a/tests/unit_tests/test_data_neutron.py
+++ b/tests/unit_tests/test_data_neutron.py
@@ -345,10 +345,10 @@ def test_nbody(tmpdir, h2):
     assert nbody1.q_value == nbody2.q_value
 
 
-def test_ace_convert(tmpdir):
+def test_ace_convert(run_in_tmpdir):
     filename = os.path.join(_ENDF_DATA, 'neutrons', 'n-001_H_001.endf')
-    ace_ascii = str(tmpdir.join('ace_ascii'))
-    ace_binary = str(tmpdir.join('ace_binary'))
+    ace_ascii = 'ace_ascii'
+    ace_binary = 'ace_binary'
     openmc.data.njoy.make_ace(filename, ace=ace_ascii)
 
     # Convert to binary
diff --git a/tests/unit_tests/test_model_triso.py b/tests/unit_tests/test_model_triso.py
new file mode 100644
index 0000000000..19c4f9081e
--- /dev/null
+++ b/tests/unit_tests/test_model_triso.py
@@ -0,0 +1,161 @@
+#!/usr/bin/env python
+
+from math import pi
+
+import numpy as np
+from numpy.linalg import norm
+import openmc
+import openmc.model
+import pytest
+import scipy.spatial
+
+
+_PACKING_FRACTION = 0.35
+_RADIUS = 4.25e-2
+domain_params = [
+    {'shape': 'cube', 'length': 0.75, 'radius': 0., 'volume': 0.75**3},
+    {'shape': 'cylinder', 'length': 0.5, 'radius': 0.5, 'volume': 0.5*pi*0.5**2},
+    {'shape': 'sphere', 'length': 0., 'radius': 0.5, 'volume': 4/3*pi*0.5**3}
+]
+
+
+@pytest.fixture(scope='module', params=domain_params,
+                ids=['cube', 'cylinder', 'sphere'])
+def domain(request):
+    return request.param
+
+
+@pytest.fixture(scope='module')
+def triso_universe():
+    sphere = openmc.Sphere(R=_RADIUS)
+    cell = openmc.Cell(region=-sphere)
+    univ = openmc.Universe(cells=[cell])
+    return univ
+
+
+@pytest.fixture(scope='module')
+def trisos(domain, triso_universe):
+    trisos = openmc.model.pack_trisos(
+        radius=_RADIUS,
+        fill=triso_universe,
+        domain_shape=domain['shape'],
+        domain_length=domain['length'],
+        domain_radius=domain['radius'],
+        domain_center=(0., 0., 0.),
+        initial_packing_fraction=0.2,
+        packing_fraction=_PACKING_FRACTION
+    )
+    return trisos
+
+
+def test_overlap(trisos):
+    """Check that no TRISO particles overlap."""
+    centers = [t.center for t in trisos]
+
+    # Create KD tree for quick nearest neighbor search
+    tree = scipy.spatial.cKDTree(centers)
+
+    # Find distance to nearest neighbor for all particles
+    d = tree.query(centers, k=2)[0]
+
+    # Get the smallest distance between any two particles
+    d_min = min(d[:, 1])
+    assert d_min > 2*_RADIUS or d_min == pytest.approx(2*_RADIUS)
+
+
+def test_contained(trisos, domain):
+    """Make sure all particles are entirely contained within the domain."""
+    if domain['shape'] == 'cube':
+        x = max(np.hstack([abs(t.center) for t in trisos])) + _RADIUS
+        assert x < 0.5*domain['length'] or x == pytest.approx(0.5*domain['length'])
+
+    elif domain['shape'] == 'cylinder':
+        r = max([norm(t.center[0:2]) for t in trisos]) + _RADIUS
+        z = max([abs(t.center[2]) for t in trisos]) + _RADIUS
+        assert r < domain['radius'] or r == pytest.approx(domain['radius'])
+        assert z < 0.5*domain['length'] or z == pytest.approx(0.5*domain['length'])
+
+    elif domain['shape'] == 'sphere':
+        r = max([norm(t.center) for t in trisos]) + _RADIUS
+        assert r < domain['radius'] or r == pytest.approx(domain['radius'])
+
+
+def test_packing_fraction(trisos, domain):
+    """Check that the actual PF is close to the requested PF."""
+    pf = len(trisos)*4/3*pi*_RADIUS**3/domain['volume']
+    assert pf == pytest.approx(_PACKING_FRACTION, rel=1e-2)
+
+
+def test_n_particles(triso_universe):
+    """Check that the function returns the correct number of particles"""
+    trisos = openmc.model.pack_trisos(
+        radius=_RADIUS, fill=triso_universe, domain_shape='cube',
+        domain_length=1.0, n_particles=800
+    )
+    assert len(trisos) == 800
+    
+
+def test_triso_lattice(triso_universe):
+    trisos = openmc.model.pack_trisos(
+        radius=_RADIUS, fill=triso_universe, domain_shape='cube',
+        domain_length=1.0, domain_center=(0., 0., 0.), packing_fraction=0.2
+    )
+
+    lower_left = np.array((-.5, -.5, -.5))
+    upper_right = np.array((.5, .5, .5))
+    shape = (3, 3, 3)
+    pitch = (upper_right - lower_left)/shape
+    background = openmc.Material()
+
+    lattice = openmc.model.create_triso_lattice(
+        trisos, lower_left, pitch, shape, background
+    )
+
+
+def test_domain_input(triso_universe):
+    # Invalid domain shape
+    with pytest.raises(ValueError):
+        trisos = openmc.model.pack_trisos(
+            radius=1, fill=triso_universe, n_particles=100,
+            domain_shape='circle'
+        )
+    # Don't specify domain length on a cube
+    with pytest.raises(ValueError):
+        trisos = openmc.model.pack_trisos(
+            radius=1, fill=triso_universe, n_particles=100,
+            domain_shape='cube'
+        )
+    # Don't specify domain radius on a sphere
+    with pytest.raises(ValueError):
+        trisos = openmc.model.pack_trisos(
+            radius=1, fill=triso_universe, n_particles=100,
+            domain_shape='sphere'
+        )
+    
+
+def test_packing_fraction_input(triso_universe):
+    # Provide neither packing fraction nor number of particles
+    with pytest.raises(ValueError):
+        trisos = openmc.model.pack_trisos(
+            radius=1, fill=triso_universe, domain_shape='cube',
+            domain_length=10
+        )
+    # Provide both packing fraction and number of particles
+    with pytest.raises(ValueError):
+        trisos = openmc.model.pack_trisos(
+            radius=1, fill=triso_universe, domain_shape='cube',
+            domain_length=10, n_particles=100, packing_fraction=0.2
+        )
+    # Specify a packing fraction that is too high for CRP
+    with pytest.raises(ValueError):
+        trisos = openmc.model.pack_trisos(
+            radius=1, fill=triso_universe, domain_shape='cube',
+            domain_length=10, packing_fraction=1
+        )
+    # Specify a packing fraction that is too high for RSP
+    with pytest.raises(ValueError):
+        trisos = openmc.model.pack_trisos(
+            radius=1, fill=triso_universe, domain_shape='cube',
+            domain_length=10, packing_fraction=0.5,
+            initial_packing_fraction=0.4
+        )