From 2395f9a96c1ecf8cbc3705ea7ebc88baf9dcf4c7 Mon Sep 17 00:00:00 2001 From: Paul Romano Date: Mon, 7 Nov 2016 11:34:09 -0600 Subject: [PATCH 01/13] Add FissionProductYields class and Decay class --- docs/source/conf.py | 2 +- docs/source/pythonapi/index.rst | 2 + openmc/data/__init__.py | 1 + openmc/data/decay.py | 458 ++++++++++++++++++++++++++++++++ openmc/data/endf.py | 21 +- setup.py | 1 + 6 files changed, 474 insertions(+), 11 deletions(-) create mode 100644 openmc/data/decay.py diff --git a/docs/source/conf.py b/docs/source/conf.py index 672217c84..4e21ec20b 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -25,7 +25,7 @@ except ImportError: MOCK_MODULES = ['numpy', 'numpy.polynomial', 'numpy.polynomial.polynomial', - 'h5py', 'pandas', 'opencg'] + 'h5py', 'pandas', 'uncertainties', 'opencg'] sys.modules.update((mod_name, MagicMock()) for mod_name in MOCK_MODULES) import numpy as np diff --git a/docs/source/pythonapi/index.rst b/docs/source/pythonapi/index.rst index e364452b1..b86107f37 100644 --- a/docs/source/pythonapi/index.rst +++ b/docs/source/pythonapi/index.rst @@ -373,6 +373,8 @@ Core Classes openmc.data.CoherentElastic openmc.data.FissionEnergyRelease openmc.data.DataLibrary + openmc.data.Decay + openmc.data.FissionProductYields Core Functions -------------- diff --git a/openmc/data/__init__.py b/openmc/data/__init__.py index 373136538..c361a204d 100644 --- a/openmc/data/__init__.py +++ b/openmc/data/__init__.py @@ -6,6 +6,7 @@ HDF5_VERSION = (HDF5_VERSION_MAJOR, HDF5_VERSION_MINOR) from .data import * from .neutron import * +from .decay import * from .reaction import * from .ace import * from .angle_distribution import * diff --git a/openmc/data/decay.py b/openmc/data/decay.py new file mode 100644 index 000000000..35bc11345 --- /dev/null +++ b/openmc/data/decay.py @@ -0,0 +1,458 @@ +from collections import Iterable, namedtuple +from io import StringIO +from math import log +from numbers import Real +import re +from warnings import warn + +from six import string_types +import numpy as np +try: + from uncertainties import ufloat, unumpy, UFloat +except ImportError: + ufloat = UFloat = namedtuple('UFloat', ['nominal_value', 'std_dev']) + +import openmc.checkvalue as cv +from openmc.mixin import EqualityMixin +from .data import ATOMIC_SYMBOL, ATOMIC_NUMBER +from .endf import Evaluation, get_head_record, get_list_record, get_tab1_record + + +# Gives name and (change in A, change in Z) resulting from decay +_DECAY_MODES = { + 0: ('gamma', (0, 0)), + 1: ('beta-', (0, 1)), + 2: ('ec/beta+', (0, -1)), + 3: ('IT', (0, 0)), + 4: ('alpha', (-4, -2)), + 5: ('n', (-1, 0)), + 6: ('sf', None), + 7: ('p', (-1, -1)), + 8: ('e-', (0, 0)), + 9: ('xray', (0, 0)), + 10: ('unknown', None) +} + +_RADIATION_TYPES = { + 0: 'gamma', + 1: 'beta-', + 2: 'ec/beta+', + 4: 'alpha', + 5: 'n', + 6: 'sf', + 7: 'p', + 8: 'e-', + 9: 'xray', + 10: 'anti-neutrino', + 11: 'neutrino' +} + + +def get_decay_modes(value): + """Return sequence of decay modes given an ENDF RTYP value. + + Parameters + ---------- + value : float + ENDF definition of sequence of decay modes + + Returns + ------- + list of str + List of successive decays, e.g. ('beta-', 'neutron') + + """ + return [_DECAY_MODES[int(x)][0] for x in + str(value).strip('0').replace('.', '')] + + +class FissionProductYields(EqualityMixin): + """Independent and cumulative fission product yields. + + Parameters + ---------- + ev_or_filename : str of openmc.data.endf.Evaluation + ENDF fission product yield evaluation to read from. If given as a + string, it is assumed to be the filename for the ENDF file. + + Attributes + ---------- + cumulative : list of dict + Cumulative yields for each tabulated energy. Each item in the list is a + dictionary whose keys are nuclide names and values are cumulative + yields. The i-th dictionary corresponds to the i-th energy. + energies : Iterable of float or None + Energies at which fission product yields are tabulated. + independent : list of dict + Independent yields for each tabulated energy. Each item in the list is a + dictionary whose keys are nuclide names and values are independent + yields. The i-th dictionary corresponds to the i-th energy. + nuclide : dict + Properties of the fissioning nuclide. + + """ + def __init__(self, ev_or_filename): + # Define function that can be used to read both independent and + # cumulative yields + def get_yields(file_obj): + # Determine number of energies + n_energy = get_head_record(file_obj)[2] + if n_energy > 1: + energies = np.zeros(n_energy) + else: + energies = None + + data = [] + for i in range(n_energy): + # Determine i-th energy and number of products + items, values = get_list_record(file_obj) + if n_energy > 1: + energies[i] = items[0] + n_products = items[5] + + # Get yields for i-th energy + yields = {} + for j in range(n_products): + Z, A = divmod(int(values[4*j]), 1000) + excited_state = int(values[4*j + 1]) + name = ATOMIC_SYMBOL[Z] + str(A) + if excited_state > 0: + name += '_e{}'.format(excited_state) + yield_j = ufloat(values[4*j + 2], values[4*j + 3]) + yields[name] = yield_j + + data.append(yields) + + return energies, data + + # Get evaluation if str is passed + if isinstance(ev_or_filename, Evaluation): + ev = ev_or_filename + else: + ev = Evaluation(ev_or_filename) + + # Assign basic nuclide properties + self.nuclide = { + 'name': ev.gnd_name, + 'atomic_number': ev.target['atomic_number'], + 'mass_number': ev.target['mass_number'], + 'isomeric_state': ev.target['isomeric_state'] + } + + # Read independent yields + if (8, 454) in ev.section: + file_obj = StringIO(ev.section[8, 454]) + self.energies, self.independent = get_yields(file_obj) + + # Read cumulative yields + if (8, 459) in ev.section: + file_obj = StringIO(ev.section[8, 459]) + energies, self.cumulative = get_yields(file_obj) + assert np.all(energies == self.energies) + + @classmethod + def from_endf(cls, filename): + """Generate fission product yield data from an ENDF evaluation + + Parameters + ---------- + ev_or_filename : str or openmc.data.endf.Evaluation + ENDF fission product yield evaluation to read from. If given as a + string, it is assumed to be the filename for the ENDF file. + + Returns + ------- + openmc.data.FissionProductYields + Fission product yield data + + """ + return cls(filename) + + +class DecayMode(EqualityMixin): + """Radioactive decay mode. + + Parameters + ---------- + parent : str + Parent decaying nuclide + modes : list of str + Successive decay modes + daughter_state : int + Metastable state of the daughter nuclide + energy : uncertainties.UFloat + Total decay energy in eV available in the decay process. + branching_ratio : uncertainties.UFloat + Fraction of the decay of the parent nuclide which proceeds by this mode. + + Attributes + ---------- + branching_ratio : uncertainties.UFloat + Fraction of the decay of the parent nuclide which proceeds by this mode. + daughter : str + Name of daughter nuclide produced from decay + energy : uncertainties.UFloat + Total decay energy in eV available in the decay process. + modes : list of str + Successive decay modes + parent : str + Parent decaying nuclide + + """ + + def __init__(self, parent, modes, daughter_state, energy, + branching_ratio): + self._daughter_state = daughter_state + self.parent = parent + self.modes = modes + self.energy = energy + self.branching_ratio = branching_ratio + + def __repr__(self): + return (' {}, {}>'.format( + ','.join(self.modes), self.parent, self.daughter, + self.branching_ratio)) + + @property + def branching_ratio(self): + return self._branching_ratio + + @property + def daughter(self): + # Determine atomic number and mass number of parent + symbol, A = re.match(r'([A-Zn][a-z]*)(\d+)', self.parent).groups() + A = int(A) + Z = ATOMIC_NUMBER[symbol] + + # Process changes + for mode in self.modes: + for name, changes in _DECAY_MODES.values(): + if name == mode: + if changes is not None: + delta_A, delta_Z = changes + A += delta_A + Z += delta_Z + + if self._daughter_state > 0: + return '{}{}_m{}'.format(ATOMIC_SYMBOL[Z], A, self._daughter_state) + else: + return '{}{}'.format(ATOMIC_SYMBOL[Z], A) + + @property + def energy(self): + return self._energy + + @property + def modes(self): + return self._modes + + @property + def parent(self): + return self._parent + + @branching_ratio.setter + def branching_ratio(self, branching_ratio): + cv.check_type('branching ratio', branching_ratio, UFloat) + cv.check_greater_than('branching ratio', + branching_ratio.nominal_value, 0.0, True) + if branching_ratio.nominal_value == 0.0: + warn('Decay mode {} of parent {} has a zero branching ratio.' + .format(self.modes, self.parent)) + cv.check_greater_than('branching ratio uncertainty', + branching_ratio.std_dev, 0.0, True) + self._branching_ratio = branching_ratio + + @energy.setter + def energy(self, energy): + cv.check_type('decay energy', energy, UFloat) + cv.check_greater_than('decay energy', energy.nominal_value, 0.0, True) + cv.check_greater_than('decay energy uncertainty', + energy.std_dev, 0.0, True) + self._energy = energy + + @modes.setter + def modes(self, modes): + cv.check_type('decay modes', modes, Iterable, string_types) + self._modes = modes + + @parent.setter + def parent(self, parent): + cv.check_type('parent nuclide', parent, string_types) + self._parent = parent + + +class Decay(EqualityMixin): + """Radioactive decay data. + + Parameters + ---------- + ev_or_filename : str of openmc.data.endf.Evaluation + ENDF radioactive decay data evaluation to read from. If given as a + string, it is assumed to be the filename for the ENDF file. + + Attributes + ---------- + average_energies : dict + Average decay energies in eV of each type of radiation for decay heat + applications. + decay_constant : uncertainties.UFloat + Decay constant in inverse seconds. + half_life : uncertainties.UFloat + Half-life of the decay in seconds. + modes : list + Decay mode information for each mode of decay. + nuclide : dict + Dictionary describing decaying nuclide with keys 'name', + 'excited_state', 'mass', 'stable', 'spin', and 'parity'. + spectra : dict + Resulting radiation spectra for each radiation type. + + """ + def __init__(self, ev_or_filename): + # Get evaluation if str is passed + if isinstance(ev_or_filename, Evaluation): + ev = ev_or_filename + else: + ev = Evaluation(ev_or_filename) + #assert ev.info['sublibrary'] == 'Radioactive decay data' + + file_obj = StringIO(ev.section[8, 457]) + + self.nuclide = {} + self.modes = [] + self.spectra = {} + self.average_energies = {} + + # Get head record + items = get_head_record(file_obj) + Z, A = divmod(items[0], 1000) + metastable = items[3] + self.nuclide['atomic_number'] = Z + self.nuclide['mass_number'] = A + self.nuclide['isomeric_state'] = metastable + if metastable > 0: + self.nuclide['name'] = '{}{}_m{}'.format(ATOMIC_SYMBOL[Z], A, + metastable) + else: + self.nuclide['name'] = '{}{}'.format(ATOMIC_SYMBOL[Z], A) + self.nuclide['mass'] = items[1] # AWR + self.nuclide['excited_state'] = items[2] # State of the original nuclide + self.nuclide['stable'] = (items[4] == 1) # Nucleus stability flag + + # Determine if radioactive/stable + if not self.nuclide['stable']: + NSP = items[5] # Number of radiation types + + # Half-life and decay energies + items, values = get_list_record(file_obj) + self.half_life = ufloat(items[0], items[1]) + NC = items[4]//2 + pairs = [x for x in zip(values[::2], values[1::2])] + ex = self.average_energies + ex['light'] = ufloat(*pairs[0]) + ex['electromagnetic'] = ufloat(*pairs[1]) + ex['heavy'] = ufloat(*pairs[2]) + if NC == 17: + ex['beta-'] = ufloat(*pairs[3]) + ex['beta+'] = ufloat(*pairs[4]) + ex['auger'] = ufloat(*pairs[5]) + ex['conversion'] = ufloat(*pairs[6]) + ex['gamma'] = ufloat(*pairs[7]) + ex['xray'] = ufloat(*pairs[8]) + ex['Bremsstrahlung'] = ufloat(*pairs[9]) + ex['annihilation'] = ufloat(*pairs[10]) + ex['alpha'] = ufloat(*pairs[11]) + ex['recoil'] = ufloat(*pairs[12]) + ex['SF'] = ufloat(*pairs[13]) + ex['neutron'] = ufloat(*pairs[14]) + ex['proton'] = ufloat(*pairs[15]) + ex['neutrino'] = ufloat(*pairs[16]) + + items, values = get_list_record(file_obj) + spin = items[0] + if spin == -77.777: + self.nuclide['spin'] = None + else: + self.nuclide['spin'] = spin + self.nuclide['parity'] = items[1] # Parity of the nuclide + + # Decay mode information + n_modes = items[5] # Number of decay modes + for i in range(n_modes): + decay_type = get_decay_modes(values[6*i]) + isomeric_state = int(values[6*i + 1]) + energy = ufloat(*values[6*i + 2:6*i + 4]) + branching_ratio = ufloat(*values[6*i + 4:6*(i + 1)]) + + mode = DecayMode(self.nuclide['name'], decay_type, isomeric_state, + energy, branching_ratio) + self.modes.append(mode) + + discrete_type = {0.0: None, 1.0: 'allowed', 2.0: 'first-forbidden', + 3.0: 'second-forbidden', 4.0: 'third-forbidden', + 5.0: 'fourth-forbidden', 6.0: 'fifth-forbidden'} + + # Read spectra + for i in range(NSP): + spectrum = {} + + items, values = get_list_record(file_obj) + # Decay radiation type + spectrum['type'] = _RADIATION_TYPES[items[1]] + # Continuous spectrum flag + spectrum['continuous_flag'] = {0: 'discrete', 1: 'continuous', + 2: 'both'}[items[2]] + spectrum['discrete_normalization'] = ufloat(*values[0:2]) + spectrum['energy_average'] = ufloat(*values[2:4]) + spectrum['continuous_normalization'] = ufloat(*values[4:6]) + + NER = items[5] # Number of tabulated discrete energies + + if not spectrum['continuous_flag'] == 'continuous': + # Information about discrete spectrum + spectrum['discrete'] = [] + for j in range(NER): + items, values = get_list_record(file_obj) + di = {} + di['energy'] = ufloat(*items[0:2]) + di['from_mode'] = get_decay_modes(values[0]) + di['type'] = discrete_type[values[1]] + di['intensity'] = ufloat(*values[2:4]) + if spectrum['type'] == 'ec/beta+': + di['positron_intensity'] = ufloat(*values[4:6]) + elif spectrum['type'] == 'gamma': + di['internal_pair'] = ufloat(*values[4:6]) + if len(values) >= 8: + di['total_internal_conversion'] = ufloat(*values[6:8]) + if len(values) == 12: + di['k_shell_conversion'] = ufloat(*values[8:10]) + di['l_shell_conversion'] = ufloat(*values[10:12]) + spectrum['discrete'].append(di) + + if not spectrum['continuous_flag'] == 'discrete': + # Read continuous spectrum + ci = {} + params, ci['probability'] = get_tab1_record(file_obj) + ci['type'] = get_decay_modes(params[0]) + + # Read covariance (Ek, Fk) table + LCOV = params[3] + if LCOV != 0: + items, values = get_list_record(file_obj) + ci['covariance_lb'] = items[3] + ci['covariance'] = zip(values[0::2], values[1::2]) + + spectrum['continuous'] = ci + + # Add spectrum to dictionary + self.spectra[spectrum['type']] = spectrum + + else: + items, values = get_list_record(file_obj) + items, values = get_list_record(file_obj) + self.nuclide['spin'] = items[0] + self.nuclide['parity'] = items[1] + + @property + def decay_constant(self): + return log(2.)/self.half_life diff --git a/openmc/data/endf.py b/openmc/data/endf.py index c0049f977..0197b65e4 100644 --- a/openmc/data/endf.py +++ b/openmc/data/endf.py @@ -17,6 +17,7 @@ from collections import OrderedDict, Iterable import numpy as np from numpy.polynomial.polynomial import Polynomial +from .data import ATOMIC_SYMBOL from .function import Tabulated1D, INTERPOLATION_SCHEME from openmc.stats.univariate import Uniform, Tabular, Legendre @@ -47,16 +48,6 @@ SUM_RULES = {1: [2, 3], _ENDF_FLOAT_RE = re.compile(r'([\s\-\+]?\d*\.\d+)([\+\-]\d+)') -def radiation_type(value): - p = {0: 'gamma', 1: 'beta-', 2: 'ec/beta+', 3: 'IT', - 4: 'alpha', 5: 'neutron', 6: 'sf', 7: 'proton', - 8: 'e-', 9: 'xray', 10: 'unknown'} - if value % 1.0 == 0: - return p[int(value)] - else: - return (p[int(value)], p[int(10*value % 10)]) - - def float_endf(s): """Convert string of floating point number in ENDF to float. @@ -396,6 +387,16 @@ class Evaluation(object): mod = 0 self.reaction_list.append((mf, mt, nc, mod)) + @property + def gnd_name(self): + symbol = ATOMIC_SYMBOL[self.target['atomic_number']] + A = self.target['mass_number'] + m = self.target['isomeric_state'] + if m > 0: + return '{}{}_m{}'.format(symbol, A, m) + else: + return '{}{}'.format(symbol, A) + class Tabulated2D(object): """Metadata for a two-dimensional function. diff --git a/setup.py b/setup.py index 0885c28a8..befb9c0d2 100755 --- a/setup.py +++ b/setup.py @@ -43,6 +43,7 @@ if have_setuptools: # Optional dependencies 'extras_require': { + 'decay': ['uncertainties'], 'pandas': ['pandas>=0.17.0'], 'sparse' : ['scipy'], 'vtk': ['vtk', 'silomesh'], From c34460d647adc52a39e3f44ee98db6e2ac11ed22 Mon Sep 17 00:00:00 2001 From: Paul Romano Date: Fri, 18 Nov 2016 06:52:21 -0600 Subject: [PATCH 02/13] Make spaces per indent configurable for clean_xml_indentation --- openmc/clean_xml.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/openmc/clean_xml.py b/openmc/clean_xml.py index 564281a5c..6aaf64c66 100644 --- a/openmc/clean_xml.py +++ b/openmc/clean_xml.py @@ -65,25 +65,25 @@ def sort_xml_elements(tree): tree.extend(sorted_elements) -def clean_xml_indentation(element, level=0): +def clean_xml_indentation(element, level=0, spaces_per_level=4): """ copy and paste from http://effbot.org/zone/elementent-lib.htm#prettyprint it basically walks your tree and adds spaces and newlines so the tree is printed in a nice way """ - i = "\n" + level*" " + i = "\n" + level*spaces_per_level*" " if len(element): if not element.text or not element.text.strip(): - element.text = i + " " + element.text = i + spaces_per_level*" " if not element.tail or not element.tail.strip(): element.tail = i for sub_element in element: - clean_xml_indentation(sub_element, level+1) + clean_xml_indentation(sub_element, level+1, spaces_per_level) if not sub_element.tail or not sub_element.tail.strip(): sub_element.tail = i From e5ecfb18b982e9d9992a5dde918efedb93a706af Mon Sep 17 00:00:00 2001 From: Paul Romano Date: Fri, 18 Nov 2016 06:52:47 -0600 Subject: [PATCH 03/13] Add (n,2n) level reactions to REACTION_NAME --- openmc/data/reaction.py | 15 ++++++++------- 1 file changed, 8 insertions(+), 7 deletions(-) diff --git a/openmc/data/reaction.py b/openmc/data/reaction.py index 23b864bf3..08930fa65 100644 --- a/openmc/data/reaction.py +++ b/openmc/data/reaction.py @@ -55,13 +55,14 @@ REACTION_NAME = {1: '(n,total)', 2: '(n,elastic)', 4: '(n,level)', 195: '(n,4n2a)', 196: '(n,4npa)', 197: '(n,3p)', 198: '(n,n3p)', 199: '(n,3n2pa)', 200: '(n,5n2p)', 444: '(n,damage)', 649: '(n,pc)', 699: '(n,dc)', 749: '(n,tc)', 799: '(n,3Hec)', - 849: '(n,ac)'} -REACTION_NAME.update({i: '(n,n{})'.format(i-50) for i in range(50, 91)}) -REACTION_NAME.update({i: '(n,p{})'.format(i-600) for i in range(600, 649)}) -REACTION_NAME.update({i: '(n,d{})'.format(i-650) for i in range(650, 699)}) -REACTION_NAME.update({i: '(n,t{})'.format(i-700) for i in range(700, 749)}) -REACTION_NAME.update({i: '(n,3He{})'.format(i-750) for i in range(750, 799)}) -REACTION_NAME.update({i: '(n,a{})'.format(i-800) for i in range(800, 849)}) + 849: '(n,ac)', 891: '(n,2nc)'} +REACTION_NAME.update({i: '(n,n{})'.format(i - 50) for i in range(50, 91)}) +REACTION_NAME.update({i: '(n,p{})'.format(i - 600) for i in range(600, 649)}) +REACTION_NAME.update({i: '(n,d{})'.format(i - 650) for i in range(650, 699)}) +REACTION_NAME.update({i: '(n,t{})'.format(i - 700) for i in range(700, 749)}) +REACTION_NAME.update({i: '(n,3He{})'.format(i - 750) for i in range(750, 799)}) +REACTION_NAME.update({i: '(n,a{})'.format(i - 800) for i in range(800, 849)}) +REACTION_NAME.update({i: '(n,2n{})'.format(i - 875) for i in range(875, 891)}) def _get_products(ev, mt): From fb4d9df41b86b8c68f9b185d0fc85f0fad157155 Mon Sep 17 00:00:00 2001 From: Paul Romano Date: Fri, 18 Nov 2016 06:54:15 -0600 Subject: [PATCH 04/13] Make sure LaboratoryAngleEnergy has a to_hdf5() method --- openmc/data/laboratory.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/openmc/data/laboratory.py b/openmc/data/laboratory.py index be449b79a..0a8908362 100644 --- a/openmc/data/laboratory.py +++ b/openmc/data/laboratory.py @@ -137,3 +137,6 @@ class LaboratoryAngleEnergy(AngleEnergy): energy_out.append(energy_out_i) return cls(tab2.breakpoints, tab2.interpolation, energy, mu, energy_out) + + def to_hdf5(self, group): + raise NotImplementedError From 643eaf53cbbfe133df54f38c5bb0d0c23cb93442 Mon Sep 17 00:00:00 2001 From: Paul Romano Date: Fri, 18 Nov 2016 11:04:34 -0600 Subject: [PATCH 05/13] Add function to read all ENDF evaluations from a single file --- docs/source/pythonapi/index.rst | 1 + openmc/data/endf.py | 39 +++++++++++++++++++++++++++++---- 2 files changed, 36 insertions(+), 4 deletions(-) diff --git a/docs/source/pythonapi/index.rst b/docs/source/pythonapi/index.rst index b86107f37..fc01b99e7 100644 --- a/docs/source/pythonapi/index.rst +++ b/docs/source/pythonapi/index.rst @@ -478,6 +478,7 @@ Functions openmc.data.endf.float_endf openmc.data.endf.get_cont_record + openmc.data.endf.get_evaluations openmc.data.endf.get_head_record openmc.data.endf.get_tab1_record openmc.data.endf.get_tab2_record diff --git a/openmc/data/endf.py b/openmc/data/endf.py index 0197b65e4..34553ad2d 100644 --- a/openmc/data/endf.py +++ b/openmc/data/endf.py @@ -14,6 +14,7 @@ import os from math import pi from collections import OrderedDict, Iterable +from six import string_types import numpy as np from numpy.polynomial.polynomial import Polynomial @@ -249,14 +250,40 @@ def get_tab2_record(file_obj): return params, Tabulated2D(breakpoints, interpolation) +def get_evaluations(filename): + """Return a list of all evaluations within an ENDF file. + + Parameters + ---------- + filename : str + Path to ENDF-6 formatted file + + Returns + ------- + list + A list of :class:`openmc.data.endf.Evaluation` instances. + + """ + evaluations = [] + with open(filename, 'r') as fh: + while True: + pos = fh.tell() + line = fh.readline() + if line[66:70] == ' -1': + break + fh.seek(pos) + evaluations.append(Evaluation(fh)) + return evaluations + class Evaluation(object): """ENDF material evaluation with multiple files/sections Parameters ---------- - filename : str - Path to ENDF file to read + filename_or_obj : str or file-like + Path to ENDF file to read or an open file positioned at the start of an + ENDF material Attributes ---------- @@ -273,8 +300,11 @@ class Evaluation(object): indicator (MOD). """ - def __init__(self, filename): - fh = open(filename, 'r') + def __init__(self, filename_or_obj): + if isinstance(filename_or_obj, string_types): + fh = open(filename_or_obj, 'r') + else: + fh = filename_or_obj self.section = {} self.info = {} self.target = {} @@ -304,6 +334,7 @@ class Evaluation(object): # If end of material reached, exit loop if MAT == 0: + fh.readline() break section_data = '' From 91567fd9f4cf6590fae350bd74d761bc56949cff Mon Sep 17 00:00:00 2001 From: Paul Romano Date: Mon, 21 Nov 2016 10:49:39 -0600 Subject: [PATCH 06/13] Fix broken links, update publications, list @samuelshaner as dev --- docs/source/developers.rst | 3 ++- docs/source/devguide/workflow.rst | 2 +- docs/source/methods/geometry.rst | 6 +++--- docs/source/publications.rst | 23 ++++++++++++++++++++++- 4 files changed, 28 insertions(+), 6 deletions(-) diff --git a/docs/source/developers.rst b/docs/source/developers.rst index d82d89744..0bdae2416 100644 --- a/docs/source/developers.rst +++ b/docs/source/developers.rst @@ -13,6 +13,7 @@ Active development of the OpenMC Monte Carlo code is currently led by: * `Jon Walsh `_ * `Sterling Harper `_ * `Will Boyd `_ +* `Samuel Shaner `_ * `Benoit Forget `_ * `Kord Smith `_ -* `Andrew Siegel `_ +* `Andrew Siegel `_ diff --git a/docs/source/devguide/workflow.rst b/docs/source/devguide/workflow.rst index 2f36436ca..a53bd114b 100644 --- a/docs/source/devguide/workflow.rst +++ b/docs/source/devguide/workflow.rst @@ -238,4 +238,4 @@ from your private repository into a public fork. .. _paid plan: https://github.com/plans .. _Bitbucket: https://bitbucket.org .. _ctest: http://www.cmake.org/cmake/help/v2.8.12/ctest.html -.. _NNDC: http://http://www.nndc.bnl.gov/endf/b7.1/acefiles.html +.. _NNDC: http://www.nndc.bnl.gov/endf/b7.1/acefiles.html diff --git a/docs/source/methods/geometry.rst b/docs/source/methods/geometry.rst index c2e7270b6..36c252bb1 100644 --- a/docs/source/methods/geometry.rst +++ b/docs/source/methods/geometry.rst @@ -384,7 +384,7 @@ x - x_0`, :math:`\bar{y} = y - y_0`, and :math:`\bar{z} = z - z_0`. We then have Expanding equation :eq:`dist-xcone-1` and rearranging terms, we obtain .. math:: - :label: dist-xcylinder-2 + :label: dist-xcone-2 (v^2 + w^2 - R^2u^2) d^2 + 2 (\bar{y}v + \bar{z}w - R^2\bar{x}u) d + (\bar{y}^2 + \bar{z}^2 - R^2\bar{x}^2) = 0 @@ -392,7 +392,7 @@ Expanding equation :eq:`dist-xcone-1` and rearranging terms, we obtain Defining the terms .. math:: - :label: dist-quadric-terms + :label: dist-xcone-terms a = v^2 + w^2 - R^2u^2 @@ -896,4 +896,4 @@ Dxy + Eyz + Fxz + Gx + Hy + Jz + K = 0`. Thus, the gradient to the surface is .. _surfaces: http://en.wikipedia.org/wiki/Surface .. _MCNP: http://mcnp.lanl.gov .. _Serpent: http://montecarlo.vtt.fi -.. _Monte Carlo Performance benchmark: https://github.com/paulromano/benchmarks/tree/master/mc-performance/openmc +.. _Monte Carlo Performance benchmark: https://github.com/mit-crpg/benchmarks/tree/master/mc-performance/openmc diff --git a/docs/source/publications.rst b/docs/source/publications.rst index c5b29b194..7e79cf33f 100644 --- a/docs/source/publications.rst +++ b/docs/source/publications.rst @@ -82,6 +82,10 @@ Coupling and Multi-physics Geometry -------- +- Derek M. Lax, "Memory efficient indexing algorithm for physical properties in + OpenMC," S. M. Thesis, Massachusetts Institute of Technology + (2015). ``_ + - Derek Lax, William Boyd, Nicholas Horelik, Benoit Forget, and Kord Smith, "A memory efficient algorithm for classifying unique regions in constructive solid geometries," *Proc. PHYSOR*, Kyoto, Japan, Sep. 28--Oct. 3 (2014). @@ -106,6 +110,10 @@ Miscellaneous triggers for the OpenMC Monte Carlo code," *Trans. Am. Nucl. Soc.*, **112**, 637-640 (2015). +- Kyungkwan Noh and Deokjung Lee, "Whole Core Analysis using OpenMC Monte Carlo + Code," *Trans. Kor. Nucl. Soc. Autumn Meeting*, Gyeongju, Korea, + Oct. 24-25, 2013. + - Timothy P. Burke, Brian C. Kiedrowski, and William R. Martin, "Flux and Reaction Rate Kernel Density Estimators in OpenMC," *Trans. Am. Nucl. Soc.*, **109**, 683-686 (2013). @@ -139,7 +147,7 @@ Doppler Broadening - Colin Josey, Pablo Ducru, Benoit Forget, and Kord Smith, "Windowed multipole for cross section Doppler broadening," *J. Comput. Phys.*, **307**, 715-727 - (2016). ``_ + (2016). ``_ - Jonathan A. Walsh, Benoit Forget, Kord S. Smith, and Forrest B. Brown, "On-the-fly Doppler Broadening of Unresolved Resonance Region Cross Sections @@ -213,10 +221,19 @@ Parallelism memory subsystem on Monte Carlo code performance," *Proc. Joint Int. Conf. M&C+SNA+MC*, Nashville, Tennessee, Apr. 19--23 (2015). +- Hajime Fujita, Nan Dun, Aiman Fang, Zachary A. Rubinstein, Ziming Zheng, Kamil + Iskra, Jeff Hammonds, Anshu Dubey, Pavan Balaji, and Andrew A. Chien, "Using + Global View Resilience (GVR) to add Resilience to Exascale Applications," + *Proc. Supercomputing*, New Orleans, Louisiana, Nov. 16--21, 2014. + - Nicholas Horelik, Benoit Forget, Kord Smith, and Andrew Siegel, "Domain decomposition and terabyte tallies with the OpenMC Monte Carlo neutron transport code," *Proc. PHYSOR*, Kyoto Japan, Sep. 28--Oct. 3 (2014). +- John R. Tramm, Andrew R. Siegel, Tanzima Islam, and Martin Schulz, "XSBench -- + the development and verification of a performance abstraction for Monte Carlo + reactor analysis," *Proc. PHYSOR*, Kyoto, Japan, Sep 28--Oct. 3, 2014. + - Nicholas Horelik, Andrew Siegel, Benoit Forget, and Kord Smith, "Monte Carlo domain decomposition for robust nuclear reactor analysis," *Parallel Comput.*, **40**, 646--660 (2014). ``_ @@ -270,6 +287,10 @@ Parallelism Depletion --------- +- Anas Gul, K. S. Chaudri, R. Khan, and M. Azeen, "Development and verification + of LOOP: A Linkage of ORIGEN2.2 and OpenMC," *Ann. Nucl. Energy*, **99**, + 321--327 (2017). ``_ + - Kai Huang, Hongchun Wu, Yunzhao Li, and Liangzhi Cao, "Generalized depletion chain simplification based of significance analysis," *Proc. PHYSOR*, Sun Valley, Idaho, May 1-5, 2016. From 4e059a4d2b435fae41902a8cef1834b69cc5727c Mon Sep 17 00:00:00 2001 From: Paul Romano Date: Mon, 21 Nov 2016 14:10:40 -0600 Subject: [PATCH 07/13] Use isomeric state, not excited state, for fission products. After a discussion with Dave Brown from BNL, it was confirmed that FPS in the ENDF-6 format for fission product yields refers to the isomeric state, not the excited state. --- openmc/data/decay.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/openmc/data/decay.py b/openmc/data/decay.py index 35bc11345..41929c034 100644 --- a/openmc/data/decay.py +++ b/openmc/data/decay.py @@ -114,10 +114,10 @@ class FissionProductYields(EqualityMixin): yields = {} for j in range(n_products): Z, A = divmod(int(values[4*j]), 1000) - excited_state = int(values[4*j + 1]) + isomeric_state = int(values[4*j + 1]) name = ATOMIC_SYMBOL[Z] + str(A) - if excited_state > 0: - name += '_e{}'.format(excited_state) + if isomeric_state > 0: + name += '_m{}'.format(isomeric_state) yield_j = ufloat(values[4*j + 2], values[4*j + 3]) yields[name] = yield_j From 6434886820d1225dfe57dcb4954fd7675148e19f Mon Sep 17 00:00:00 2001 From: Paul Romano Date: Wed, 23 Nov 2016 18:51:05 -0600 Subject: [PATCH 08/13] Address @smharper comments on #761. Also add one publication in docs. --- docs/source/publications.rst | 5 +++++ openmc/data/decay.py | 25 +++++++++++++++---------- 2 files changed, 20 insertions(+), 10 deletions(-) diff --git a/docs/source/publications.rst b/docs/source/publications.rst index 7e79cf33f..097cd43d0 100644 --- a/docs/source/publications.rst +++ b/docs/source/publications.rst @@ -177,6 +177,11 @@ Nuclear Data - Paul K. Romano and Sterling M. Harper, "Nuclear data processing capabilities in OpenMC", *Proc. Nuclear Data*, Sep. 11-16, 2016. +- Jonathan A. Walsh, Benoit Froget, Kord S. Smith, and Forrest B. Brown, + "Neutron Cross Section Processing Methods for Improved Integral Benchmarking + of Unresolved Resonance Region Evaluations," *Eur. Phys. J. Web Conf.* + **111**, 06001 (2016). ``_ + - Jonathan A. Walsh, Paul K. Romano, Benoit Forget, and Kord S. Smith, "Optimizations of the energy grid search algorithm in continuous-energy Monte Carlo particle transport codes", *Comput. Phys. Commun.*, **196**, 134-142 diff --git a/openmc/data/decay.py b/openmc/data/decay.py index 41929c034..33d447973 100644 --- a/openmc/data/decay.py +++ b/openmc/data/decay.py @@ -80,16 +80,26 @@ class FissionProductYields(EqualityMixin): cumulative : list of dict Cumulative yields for each tabulated energy. Each item in the list is a dictionary whose keys are nuclide names and values are cumulative - yields. The i-th dictionary corresponds to the i-th energy. + yields. The i-th dictionary corresponds to the i-th incident neutron + energy. energies : Iterable of float or None Energies at which fission product yields are tabulated. independent : list of dict Independent yields for each tabulated energy. Each item in the list is a dictionary whose keys are nuclide names and values are independent - yields. The i-th dictionary corresponds to the i-th energy. + yields. The i-th dictionary corresponds to the i-th incident neutron + energy. nuclide : dict Properties of the fissioning nuclide. + Notes + ----- + Neutron fission yields are typically not measured with a monoenergetic + source of neutrons. As such, if the fission yields are given at, e.g., + 0.0253 eV, one should interpret this as meaning that they are derived from a + typical thermal reactor flux spectrum as opposed to a monoenergetic source + at 0.0253 eV. + """ def __init__(self, ev_or_filename): # Define function that can be used to read both independent and @@ -97,17 +107,13 @@ class FissionProductYields(EqualityMixin): def get_yields(file_obj): # Determine number of energies n_energy = get_head_record(file_obj)[2] - if n_energy > 1: - energies = np.zeros(n_energy) - else: - energies = None + energies = np.zeros(n_energy) data = [] for i in range(n_energy): # Determine i-th energy and number of products items, values = get_list_record(file_obj) - if n_energy > 1: - energies[i] = items[0] + energies[i] = items[0] n_products = items[5] # Get yields for i-th energy @@ -314,7 +320,6 @@ class Decay(EqualityMixin): ev = ev_or_filename else: ev = Evaluation(ev_or_filename) - #assert ev.info['sublibrary'] == 'Radioactive decay data' file_obj = StringIO(ev.section[8, 457]) @@ -332,7 +337,7 @@ class Decay(EqualityMixin): self.nuclide['isomeric_state'] = metastable if metastable > 0: self.nuclide['name'] = '{}{}_m{}'.format(ATOMIC_SYMBOL[Z], A, - metastable) + metastable) else: self.nuclide['name'] = '{}{}'.format(ATOMIC_SYMBOL[Z], A) self.nuclide['mass'] = items[1] # AWR From 0e029771e70cdf8ebdbf3fcd5b220c65f836ad26 Mon Sep 17 00:00:00 2001 From: Paul Romano Date: Sun, 27 Nov 2016 16:04:40 -0600 Subject: [PATCH 09/13] Fix decay_constant attribute, add Decay.from_endf classmethod --- openmc/data/decay.py | 28 +++++++++++++++++++++++++--- 1 file changed, 25 insertions(+), 3 deletions(-) diff --git a/openmc/data/decay.py b/openmc/data/decay.py index 33d447973..4327b2fc3 100644 --- a/openmc/data/decay.py +++ b/openmc/data/decay.py @@ -157,7 +157,7 @@ class FissionProductYields(EqualityMixin): assert np.all(energies == self.energies) @classmethod - def from_endf(cls, filename): + def from_endf(cls, ev_or_filename): """Generate fission product yield data from an ENDF evaluation Parameters @@ -172,7 +172,7 @@ class FissionProductYields(EqualityMixin): Fission product yield data """ - return cls(filename) + return cls(ev_or_filename) class DecayMode(EqualityMixin): @@ -460,4 +460,26 @@ class Decay(EqualityMixin): @property def decay_constant(self): - return log(2.)/self.half_life + if hasattr(self.half_life, 'n'): + return log(2.)/self.half_life + else: + mu, sigma = self.half_life + return ufloat(log(2.)/mu, log(2.)/mu**2*sigma) + + @classmethod + def from_endf(cls, ev_or_filename): + """Generate radioactive decay data from an ENDF evaluation + + Parameters + ---------- + ev_or_filename : str or openmc.data.endf.Evaluation + ENDF radioactive decay data evaluation to read from. If given as a + string, it is assumed to be the filename for the ENDF file. + + Returns + ------- + openmc.data.Decay + Radioactive decay data + + """ + return cls(ev_or_filename) From 0a0b50de2f630c35264ac007da18d929ede8d7fe Mon Sep 17 00:00:00 2001 From: Will Boyd Date: Mon, 28 Nov 2016 10:22:47 -0500 Subject: [PATCH 10/13] Removed use of Filter.type property --- .../pythonapi/examples/mgxs-part-ii.ipynb | 1049 ++++++++++------- openmc/filter.py | 15 +- 2 files changed, 627 insertions(+), 437 deletions(-) diff --git a/docs/source/pythonapi/examples/mgxs-part-ii.ipynb b/docs/source/pythonapi/examples/mgxs-part-ii.ipynb index c43fab6ff..e35c205c3 100644 --- a/docs/source/pythonapi/examples/mgxs-part-ii.ipynb +++ b/docs/source/pythonapi/examples/mgxs-part-ii.ipynb @@ -34,7 +34,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/romano/miniconda3/envs/default/lib/python3.5/site-packages/matplotlib/__init__.py:1350: UserWarning: This call to matplotlib.use() has no effect\n", + "/home/wbinventor/miniconda3/lib/python3.5/site-packages/IPython/html.py:14: ShimWarning: The `IPython.html` package has been deprecated. You should import from `notebook` instead. `IPython.html.widgets` has moved to `ipywidgets`.\n", + " \"`IPython.html.widgets` has moved to `ipywidgets`.\", ShimWarning)\n", + "/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", "or matplotlib.backends is imported for the first time.\n", @@ -453,8 +455,8 @@ " Copyright | 2011-2016 Massachusetts Institute of Technology\n", " License | http://openmc.readthedocs.io/en/latest/license.html\n", " Version | 0.8.0\n", - " Git SHA1 | da5563eddb5f2c2d6b2c9839d518de40962b78f2\n", - " Date/Time | 2016-10-31 12:29:16\n", + " Git SHA1 | 2c25ec97653482825b529215b8a61b54d468d34e\n", + " Date/Time | 2016-11-28 09:10:24\n", " OpenMP Threads | 4\n", "\n", " ===========================================================================\n", @@ -465,11 +467,16 @@ " Reading geometry XML file...\n", " Reading materials XML file...\n", " Reading cross sections XML file...\n", - " Reading U235 from /home/romano/openmc/scripts/nndc_hdf5/U235.h5\n", - " Reading U238 from /home/romano/openmc/scripts/nndc_hdf5/U238.h5\n", - " Reading O16 from /home/romano/openmc/scripts/nndc_hdf5/O16.h5\n", - " Reading H1 from /home/romano/openmc/scripts/nndc_hdf5/H1.h5\n", - " Reading Zr90 from /home/romano/openmc/scripts/nndc_hdf5/Zr90.h5\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 Zr90 from\n", + " /home/wbinventor/Documents/NSE-CRPG-Codes/openmc/data/nndc_hdf5/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", @@ -531,7 +538,7 @@ " 48/1 1.21610 1.22612 +/- 0.00251\n", " 49/1 1.22199 1.22602 +/- 0.00245\n", " 50/1 1.20860 1.22558 +/- 0.00243\n", - " Triggers unsatisfied, max unc./thresh. is 1.25496 for flux in tally 10050\n", + " Triggers unsatisfied, max unc./thresh. is 1.25496 for flux in tally 10057\n", " The estimated number of batches is 73\n", " Creating state point statepoint.050.h5...\n", " 51/1 1.21850 1.22541 +/- 0.00237\n", @@ -557,7 +564,7 @@ " 71/1 1.19720 1.22444 +/- 0.00195\n", " 72/1 1.23770 1.22465 +/- 0.00193\n", " 73/1 1.23894 1.22488 +/- 0.00191\n", - " Triggers unsatisfied, max unc./thresh. is 1.00243 for flux in tally 10050\n", + " Triggers unsatisfied, max unc./thresh. is 1.00243 for flux in tally 10057\n", " The estimated number of batches is 74\n", " 74/1 1.22437 1.22487 +/- 0.00188\n", " Triggers satisfied for batch 74\n", @@ -570,20 +577,20 @@ "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", - " Total time for initialization = 5.0262E-01 seconds\n", - " Reading cross sections = 3.4207E-01 seconds\n", - " Total time in simulation = 1.2843E+02 seconds\n", - " Time in transport only = 1.2831E+02 seconds\n", - " Time in inactive batches = 8.1328E+00 seconds\n", - " Time in active batches = 1.2030E+02 seconds\n", - " Time synchronizing fission bank = 2.9797E-02 seconds\n", - " Sampling source sites = 2.1385E-02 seconds\n", - " SEND/RECV source sites = 8.2632E-03 seconds\n", - " Time accumulating tallies = 1.4577E-03 seconds\n", - " Total time for finalization = 1.3462E-02 seconds\n", - " Total time elapsed = 1.2901E+02 seconds\n", - " Calculation Rate (inactive) = 12295.9 neutrons/second\n", - " Calculation Rate (active) = 3325.12 neutrons/second\n", + " Total time for initialization = 3.1270E-01 seconds\n", + " Reading cross sections = 1.8695E-01 seconds\n", + " Total time in simulation = 1.1922E+02 seconds\n", + " Time in transport only = 1.1903E+02 seconds\n", + " Time in inactive batches = 8.5633E+00 seconds\n", + " Time in active batches = 1.1066E+02 seconds\n", + " Time synchronizing fission bank = 2.4702E-02 seconds\n", + " Sampling source sites = 1.8297E-02 seconds\n", + " SEND/RECV source sites = 6.2794E-03 seconds\n", + " Time accumulating tallies = 2.6114E-03 seconds\n", + " Total time for finalization = 1.6967E-02 seconds\n", + " Total time elapsed = 1.1961E+02 seconds\n", + " Calculation Rate (inactive) = 11677.8 neutrons/second\n", + " Calculation Rate (active) = 3614.65 neutrons/second\n", "\n", " ============================> RESULTS <============================\n", "\n", @@ -1172,169 +1179,239 @@ "text": [ "[ NORMAL ] Importing ray tracing data from file...\n", "[ NORMAL ] Computing the eigenvalue...\n", - "[ NORMAL ] Iteration 0:\tk_eff = 0.574672\tres = 0.000E+00\n", - "[ NORMAL ] Iteration 1:\tk_eff = 0.679815\tres = 4.253E-01\n", - "[ NORMAL ] Iteration 2:\tk_eff = 0.660826\tres = 1.830E-01\n", - "[ NORMAL ] Iteration 3:\tk_eff = 0.658941\tres = 2.793E-02\n", - "[ NORMAL ] Iteration 4:\tk_eff = 0.643012\tres = 2.852E-03\n", - "[ NORMAL ] Iteration 5:\tk_eff = 0.625810\tres = 2.417E-02\n", - "[ NORMAL ] Iteration 6:\tk_eff = 0.606678\tres = 2.675E-02\n", - "[ NORMAL ] Iteration 7:\tk_eff = 0.587485\tres = 3.057E-02\n", - "[ NORMAL ] Iteration 8:\tk_eff = 0.569029\tres = 3.164E-02\n", - "[ NORMAL ] Iteration 9:\tk_eff = 0.551707\tres = 3.142E-02\n", - "[ NORMAL ] Iteration 10:\tk_eff = 0.536035\tres = 3.044E-02\n", - "[ NORMAL ] Iteration 11:\tk_eff = 0.522274\tres = 2.841E-02\n", - "[ NORMAL ] Iteration 12:\tk_eff = 0.510609\tres = 2.567E-02\n", - "[ NORMAL ] Iteration 13:\tk_eff = 0.501106\tres = 2.234E-02\n", - "[ NORMAL ] Iteration 14:\tk_eff = 0.493831\tres = 1.861E-02\n", - "[ NORMAL ] Iteration 15:\tk_eff = 0.488780\tres = 1.452E-02\n", - "[ NORMAL ] Iteration 16:\tk_eff = 0.485923\tres = 1.023E-02\n", - "[ NORMAL ] Iteration 17:\tk_eff = 0.485210\tres = 5.846E-03\n", - "[ NORMAL ] Iteration 18:\tk_eff = 0.486569\tres = 1.467E-03\n", - "[ NORMAL ] Iteration 19:\tk_eff = 0.489903\tres = 2.801E-03\n", - "[ NORMAL ] Iteration 20:\tk_eff = 0.495103\tres = 6.852E-03\n", - "[ NORMAL ] Iteration 21:\tk_eff = 0.502053\tres = 1.061E-02\n", - "[ NORMAL ] Iteration 22:\tk_eff = 0.510627\tres = 1.404E-02\n", - "[ NORMAL ] Iteration 23:\tk_eff = 0.520693\tres = 1.708E-02\n", - "[ NORMAL ] Iteration 24:\tk_eff = 0.532117\tres = 1.971E-02\n", - "[ NORMAL ] Iteration 25:\tk_eff = 0.544764\tres = 2.194E-02\n", - "[ NORMAL ] Iteration 26:\tk_eff = 0.558501\tres = 2.377E-02\n", - "[ NORMAL ] Iteration 27:\tk_eff = 0.573195\tres = 2.522E-02\n", - "[ NORMAL ] Iteration 28:\tk_eff = 0.588718\tres = 2.631E-02\n", - "[ NORMAL ] Iteration 29:\tk_eff = 0.604946\tres = 2.708E-02\n", - "[ NORMAL ] Iteration 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], @@ -1443,237 +1520,346 @@ "text": [ "[ NORMAL ] Importing ray tracing data from file...\n", "[ NORMAL ] Computing the eigenvalue...\n", - "[ NORMAL ] Iteration 0:\tk_eff = 0.495816\tres = 0.000E+00\n", - "[ NORMAL ] Iteration 1:\tk_eff = 0.557477\tres = 5.042E-01\n", - "[ NORMAL ] Iteration 2:\tk_eff = 0.518301\tres = 1.244E-01\n", - "[ NORMAL ] Iteration 3:\tk_eff = 0.509212\tres = 7.027E-02\n", - "[ NORMAL ] Iteration 4:\tk_eff = 0.496490\tres = 1.754E-02\n", - "[ NORMAL ] Iteration 5:\tk_eff = 0.488581\tres = 2.498E-02\n", - "[ NORMAL ] Iteration 6:\tk_eff = 0.482897\tres = 1.593E-02\n", - "[ NORMAL ] Iteration 7:\tk_eff = 0.479775\tres = 1.163E-02\n", - "[ NORMAL ] Iteration 8:\tk_eff = 0.478834\tres = 6.465E-03\n", - "[ NORMAL ] Iteration 9:\tk_eff = 0.479871\tres = 1.960E-03\n", - "[ NORMAL ] Iteration 10:\tk_eff = 0.482684\tres = 2.165E-03\n", - "[ NORMAL ] Iteration 11:\tk_eff = 0.487084\tres = 5.860E-03\n", - "[ NORMAL ] Iteration 12:\tk_eff = 0.492900\tres = 9.116E-03\n", 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1.411E-05\n", + "[ NORMAL ] Iteration 327:\tk_eff = 1.222870\tres = 1.377E-05\n", + "[ NORMAL ] Iteration 328:\tk_eff = 1.222886\tres = 1.343E-05\n", + "[ NORMAL ] Iteration 329:\tk_eff = 1.222902\tres = 1.310E-05\n", + "[ NORMAL ] Iteration 330:\tk_eff = 1.222917\tres = 1.278E-05\n", + "[ NORMAL ] Iteration 331:\tk_eff = 1.222932\tres = 1.247E-05\n", + "[ NORMAL ] Iteration 332:\tk_eff = 1.222947\tres = 1.216E-05\n", + "[ NORMAL ] Iteration 333:\tk_eff = 1.222961\tres = 1.187E-05\n", + "[ NORMAL ] Iteration 334:\tk_eff = 1.222975\tres = 1.158E-05\n", + "[ NORMAL ] Iteration 335:\tk_eff = 1.222988\tres = 1.129E-05\n", + "[ NORMAL ] Iteration 336:\tk_eff = 1.223001\tres = 1.102E-05\n", + "[ NORMAL ] Iteration 337:\tk_eff = 1.223014\tres = 1.075E-05\n", + "[ NORMAL ] Iteration 338:\tk_eff = 1.223027\tres = 1.049E-05\n", + "[ NORMAL ] Iteration 339:\tk_eff = 1.223039\tres = 1.023E-05\n" ] } ], @@ -1699,8 +1885,8 @@ "output_type": "stream", "text": [ "openmc keff = 1.223474\n", - "openmoc keff = 1.223227\n", - "bias [pcm]: -24.7\n" + "openmoc keff = 1.223039\n", + "bias [pcm]: -43.5\n" ] } ], @@ -1753,7 +1939,7 @@ "outputs": [], "source": [ "# Parse ACE data into memory\n", - "u235 = openmc.data.IncidentNeutron.from_ace('../../../../scripts/nndc/293.6K/U_235_293.6K.ace')\n", + "u235 = openmc.data.IncidentNeutron.from_hdf5('../../../../data/nndc_hdf5/U235.h5')\n", "\n", "# Extract the continuous-energy U-235 fission cross section data\n", "fission = u235[18]" @@ -1785,9 +1971,9 @@ }, { "data": { - "image/png": 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9XXjr7b+y8zNjUla2RCW78zkTk6HJfXETg4g8qKpnisg8nOsWwtsBUNVONCOO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\nSwzGGGOiWGIwxhgT5f8B4ykN0fh7FfYAAAAASUVORK5CYII=\n", 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Lz0uD3U1J7t+RuIJ5zpwMNmzQPgbVPIJJDGOAfwJnY3U+f2xvUyqi/K3hcA6w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\nVVBc7G7OymfnznKKi6vYbz/Ybz9rG8B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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1869,9 +2055,9 @@ "outputs": [ { "data": { - "image/png": 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uV5p93aw2nNvF8RBNdfmb2erKuV0Q9+DNzGrKPXgzs5pygTczqykXeDOzmnKB\nNzOrKRd4M7OacoE3M6up/w91pX7x6KMxWwAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1898,6 +2084,15 @@ "# Show the plot on screen\n", "plt.show()" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/openmc/filter.py b/openmc/filter.py index 88a88f99d..0320cdeca 100644 --- a/openmc/filter.py +++ b/openmc/filter.py @@ -1,8 +1,7 @@ -from abc import ABCMeta, abstractproperty +from abc import ABCMeta from collections import Iterable, OrderedDict import copy from numbers import Real, Integral -import sys from xml.etree import ElementTree as ET from six import add_metaclass @@ -829,7 +828,7 @@ class EnergyFilter(Filter): if bins[index] < bins[index-1]: msg = 'Unable to add bin edges "{0}" to a "{1}" Filter ' \ 'since they are not monotonically ' \ - 'increasing'.format(bins, self.type) + 'increasing'.format(bins, type(self)) raise ValueError(msg) def can_merge(self, other): @@ -848,7 +847,7 @@ class EnergyFilter(Filter): def merge(self, other): if not self.can_merge(other): msg = 'Unable to merge "{0}" with "{1}" ' \ - 'filters'.format(self.type, other.type) + 'filters'.format(type(self), other.type) raise ValueError(msg) # Merge unique filter bins @@ -1324,13 +1323,11 @@ class PolarFilter(Filter): # Extract the lower and upper angle bounds, then repeat and tile # them as necessary to account for other filters. lo_bins = np.repeat(self.bins[:-1], self.stride) - hi_bins = np.repeat(self.bins[1:], self.stride) tile_factor = data_size / len(lo_bins) lo_bins = np.tile(lo_bins, tile_factor) - hi_bins = np.tile(hi_bins, tile_factor) # Add the new angle columns to the DataFrame. - df.loc[:, self.type + ' low'] = lo_bins + df.loc[:, 'polar low'] = lo_bins return df @@ -1402,13 +1399,11 @@ class AzimuthalFilter(Filter): # Extract the lower and upper angle bounds, then repeat and tile # them as necessary to account for other filters. lo_bins = np.repeat(self.bins[:-1], self.stride) - hi_bins = np.repeat(self.bins[1:], self.stride) tile_factor = data_size / len(lo_bins) lo_bins = np.tile(lo_bins, tile_factor) - hi_bins = np.tile(hi_bins, tile_factor) # Add the new angle columns to the DataFrame. - df.loc[:, self.type + ' low'] = lo_bins + df.loc[:, 'azimuthal low'] = lo_bins return df From cdbcdd52348bee444211c50fbfcd969db52d8cd2 Mon Sep 17 00:00:00 2001 From: Will Boyd Date: Mon, 28 Nov 2016 18:18:03 -0500 Subject: [PATCH 11/13] Reverted changes to MGXS Part II notebook per suggestion by @nelsonag --- .../pythonapi/examples/mgxs-part-ii.ipynb | 1049 +++++++---------- 1 file changed, 427 insertions(+), 622 deletions(-) diff --git a/docs/source/pythonapi/examples/mgxs-part-ii.ipynb b/docs/source/pythonapi/examples/mgxs-part-ii.ipynb index e35c205c3..c43fab6ff 100644 --- a/docs/source/pythonapi/examples/mgxs-part-ii.ipynb +++ b/docs/source/pythonapi/examples/mgxs-part-ii.ipynb @@ -34,9 +34,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/wbinventor/miniconda3/lib/python3.5/site-packages/IPython/html.py:14: ShimWarning: The `IPython.html` package has been deprecated. You should import from `notebook` instead. `IPython.html.widgets` has moved to `ipywidgets`.\n", - " \"`IPython.html.widgets` has moved to `ipywidgets`.\", ShimWarning)\n", - "/home/wbinventor/miniconda3/lib/python3.5/site-packages/matplotlib/__init__.py:1350: UserWarning: This call to matplotlib.use() has no effect\n", + "/home/romano/miniconda3/envs/default/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", "or matplotlib.backends is imported for the first time.\n", @@ -455,8 +453,8 @@ " Copyright | 2011-2016 Massachusetts Institute of Technology\n", " License | http://openmc.readthedocs.io/en/latest/license.html\n", " Version | 0.8.0\n", - " Git SHA1 | 2c25ec97653482825b529215b8a61b54d468d34e\n", - " Date/Time | 2016-11-28 09:10:24\n", + " Git SHA1 | da5563eddb5f2c2d6b2c9839d518de40962b78f2\n", + " Date/Time | 2016-10-31 12:29:16\n", " OpenMP Threads | 4\n", "\n", " ===========================================================================\n", @@ -467,16 +465,11 @@ " 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 Zr90 from\n", - " /home/wbinventor/Documents/NSE-CRPG-Codes/openmc/data/nndc_hdf5/Zr90.h5\n", + " Reading U235 from /home/romano/openmc/scripts/nndc_hdf5/U235.h5\n", + " Reading U238 from /home/romano/openmc/scripts/nndc_hdf5/U238.h5\n", + " Reading O16 from /home/romano/openmc/scripts/nndc_hdf5/O16.h5\n", + " Reading H1 from /home/romano/openmc/scripts/nndc_hdf5/H1.h5\n", + " Reading Zr90 from /home/romano/openmc/scripts/nndc_hdf5/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", @@ -538,7 +531,7 @@ " 48/1 1.21610 1.22612 +/- 0.00251\n", " 49/1 1.22199 1.22602 +/- 0.00245\n", " 50/1 1.20860 1.22558 +/- 0.00243\n", - " Triggers unsatisfied, max unc./thresh. is 1.25496 for flux in tally 10057\n", + " Triggers unsatisfied, max unc./thresh. is 1.25496 for flux in tally 10050\n", " The estimated number of batches is 73\n", " Creating state point statepoint.050.h5...\n", " 51/1 1.21850 1.22541 +/- 0.00237\n", @@ -564,7 +557,7 @@ " 71/1 1.19720 1.22444 +/- 0.00195\n", " 72/1 1.23770 1.22465 +/- 0.00193\n", " 73/1 1.23894 1.22488 +/- 0.00191\n", - " Triggers unsatisfied, max unc./thresh. is 1.00243 for flux in tally 10057\n", + " Triggers unsatisfied, max unc./thresh. is 1.00243 for flux in tally 10050\n", " The estimated number of batches is 74\n", " 74/1 1.22437 1.22487 +/- 0.00188\n", " Triggers satisfied for batch 74\n", @@ -577,20 +570,20 @@ "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", - " Total time for initialization = 3.1270E-01 seconds\n", - " Reading cross sections = 1.8695E-01 seconds\n", - " Total time in simulation = 1.1922E+02 seconds\n", - " Time in transport only = 1.1903E+02 seconds\n", - " Time in inactive batches = 8.5633E+00 seconds\n", - " Time in active batches = 1.1066E+02 seconds\n", - " Time synchronizing fission bank = 2.4702E-02 seconds\n", - " Sampling source sites = 1.8297E-02 seconds\n", - " SEND/RECV source sites = 6.2794E-03 seconds\n", - " Time accumulating tallies = 2.6114E-03 seconds\n", - " Total time for finalization = 1.6967E-02 seconds\n", - " Total time elapsed = 1.1961E+02 seconds\n", - " Calculation Rate (inactive) = 11677.8 neutrons/second\n", - " Calculation Rate (active) = 3614.65 neutrons/second\n", + " Total time for initialization = 5.0262E-01 seconds\n", + " Reading cross sections = 3.4207E-01 seconds\n", + " Total time in simulation = 1.2843E+02 seconds\n", + " Time in transport only = 1.2831E+02 seconds\n", + " Time in inactive batches = 8.1328E+00 seconds\n", + " Time in active batches = 1.2030E+02 seconds\n", + " Time synchronizing fission bank = 2.9797E-02 seconds\n", + " Sampling source sites = 2.1385E-02 seconds\n", + " SEND/RECV source sites = 8.2632E-03 seconds\n", + " Time accumulating tallies = 1.4577E-03 seconds\n", + " Total time for finalization = 1.3462E-02 seconds\n", + " Total time elapsed = 1.2901E+02 seconds\n", + " Calculation Rate (inactive) = 12295.9 neutrons/second\n", + " Calculation Rate (active) = 3325.12 neutrons/second\n", "\n", " ============================> RESULTS <============================\n", "\n", @@ -1179,239 +1172,169 @@ "text": [ "[ NORMAL ] Importing ray tracing data from file...\n", "[ NORMAL ] Computing the eigenvalue...\n", - "[ NORMAL ] Iteration 0:\tk_eff = 0.423123\tres = 0.000E+00\n", - "[ NORMAL ] Iteration 1:\tk_eff = 0.475921\tres = 5.769E-01\n", - "[ NORMAL ] Iteration 2:\tk_eff = 0.491443\tres = 1.248E-01\n", - "[ NORMAL ] Iteration 3:\tk_eff = 0.487441\tres = 3.261E-02\n", - "[ NORMAL ] Iteration 4:\tk_eff = 0.483949\tres = 8.144E-03\n", - "[ NORMAL ] Iteration 5:\tk_eff = 0.477326\tres = 7.164E-03\n", - "[ NORMAL ] Iteration 6:\tk_eff = 0.469012\tres = 1.369E-02\n", - "[ NORMAL ] Iteration 7:\tk_eff = 0.460422\tres = 1.742E-02\n", - "[ NORMAL ] Iteration 8:\tk_eff = 0.450721\tres = 1.832E-02\n", - "[ NORMAL ] Iteration 9:\tk_eff = 0.441532\tres = 2.107E-02\n", - "[ NORMAL ] Iteration 10:\tk_eff = 0.432168\tres = 2.039E-02\n", - "[ NORMAL ] Iteration 11:\tk_eff = 0.423131\tres = 2.121E-02\n", - "[ NORMAL ] Iteration 12:\tk_eff = 0.414705\tres = 2.091E-02\n", - "[ NORMAL ] Iteration 13:\tk_eff = 0.406942\tres = 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keff = 1.220814\n", - "bias [pcm]: -266.0\n" + "openmoc keff = 1.220892\n", + "bias [pcm]: -258.1\n" ] } ], @@ -1520,346 +1443,237 @@ "text": [ "[ NORMAL ] Importing ray tracing data from file...\n", "[ NORMAL ] Computing the eigenvalue...\n", - "[ NORMAL ] Iteration 0:\tk_eff = 0.366907\tres = 0.000E+00\n", - "[ NORMAL ] Iteration 1:\tk_eff = 0.391217\tres = 6.331E-01\n", - "[ NORMAL ] Iteration 2:\tk_eff = 0.393027\tres = 6.626E-02\n", - "[ NORMAL ] Iteration 3:\tk_eff = 0.381142\tres = 4.627E-03\n", - "[ NORMAL ] Iteration 4:\tk_eff = 0.375065\tres = 3.024E-02\n", - "[ NORMAL ] Iteration 5:\tk_eff = 0.369645\tres = 1.594E-02\n", - "[ NORMAL ] Iteration 6:\tk_eff = 0.365597\tres = 1.445E-02\n", - "[ NORMAL ] Iteration 7:\tk_eff = 0.363111\tres = 1.095E-02\n", - "[ NORMAL ] Iteration 8:\tk_eff = 0.361532\tres = 6.802E-03\n", - "[ NORMAL ] Iteration 9:\tk_eff = 0.361339\tres = 4.349E-03\n", - "[ NORMAL ] Iteration 10:\tk_eff = 0.362062\tres = 5.322E-04\n", - "[ NORMAL ] Iteration 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216:\tk_eff = 1.223009\tres = 1.763E-05\n", + "[ NORMAL ] Iteration 217:\tk_eff = 1.223029\tres = 1.690E-05\n", + "[ NORMAL ] Iteration 218:\tk_eff = 1.223048\tres = 1.630E-05\n", + "[ NORMAL ] Iteration 219:\tk_eff = 1.223067\tres = 1.572E-05\n", + "[ NORMAL ] Iteration 220:\tk_eff = 1.223084\tres = 1.507E-05\n", + "[ NORMAL ] Iteration 221:\tk_eff = 1.223101\tres = 1.427E-05\n", + "[ NORMAL ] Iteration 222:\tk_eff = 1.223117\tres = 1.394E-05\n", + "[ NORMAL ] Iteration 223:\tk_eff = 1.223133\tres = 1.330E-05\n", + "[ NORMAL ] Iteration 224:\tk_eff = 1.223148\tres = 1.298E-05\n", + "[ NORMAL ] Iteration 225:\tk_eff = 1.223163\tres = 1.241E-05\n", + "[ NORMAL ] Iteration 226:\tk_eff = 1.223177\tres = 1.167E-05\n", + "[ NORMAL ] Iteration 227:\tk_eff = 1.223190\tres = 1.151E-05\n", + "[ NORMAL ] Iteration 228:\tk_eff = 1.223203\tres = 1.073E-05\n", + "[ NORMAL ] Iteration 229:\tk_eff = 1.223215\tres = 1.050E-05\n", + "[ NORMAL ] Iteration 230:\tk_eff = 1.223227\tres = 1.000E-05\n" ] } ], @@ -1885,8 +1699,8 @@ "output_type": "stream", "text": [ "openmc keff = 1.223474\n", - "openmoc keff = 1.223039\n", - "bias [pcm]: -43.5\n" + "openmoc keff = 1.223227\n", + "bias [pcm]: -24.7\n" ] } ], @@ -1939,7 +1753,7 @@ "outputs": [], "source": [ "# Parse ACE data into memory\n", - "u235 = openmc.data.IncidentNeutron.from_hdf5('../../../../data/nndc_hdf5/U235.h5')\n", + "u235 = openmc.data.IncidentNeutron.from_ace('../../../../scripts/nndc/293.6K/U_235_293.6K.ace')\n", "\n", "# Extract the continuous-energy U-235 fission cross section data\n", "fission = u235[18]" @@ -1971,9 +1785,9 @@ }, { "data": { - "image/png": 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Lz0uD3U1J7t+RuIJ5zpwMNmzQPgbVPIJJDGOAfwJnY3U+f2xvUyqi/K3hcA6w\ny5HHzqumkTY1/oa0Op1WDSDYGoNOfaHiXTCjkoqAy2JQFtUCOXPzghqRlOfaReq9t7MrLhOD9bu6\nOrhxqsEkBp2FVTUnv4nBGPO8iIw2xvyKVVNwcwAuEdk76qVTSS+UYa3Z1bv4scgRd01K7ppCMMNV\nlUoEgWoME+3fR8eiIKplKhs3odErnj2bmJ55Jp0rrqiMdrFC4k4IwTYlKRXvAq3gtsX+0wF0EpFf\ngL8BNwLJMc5QJZxnnkmPuzPzYEYlab+CSiTBDHuYB1QaYw4FLgJeBAqjWiql/NhtNxfvvtv8S4ge\nemhu7QVt9S9w85UEPLf98YeDP/4ILd5VV2Xy5JPpQT32ww9T2bJF+yhU+IJJDC4R+RQ4FbhPRN7A\nY8EepWLp7LOr+Pe/gztARtOGDSmU23MO1x+u6ovnfZdfns3gwaFdyPb00xnMm9fwdbtcsHq199d4\nxIgcrrsus/b2n39Cly7Bz12lVDDDVfOMMX2BUcBfjTGZwO7hBDPG9AReAWaJyFx72yygP+AEJonI\nSmNMf6zaSSpQKCKfhxNPJZ+p12QzFaBdw/tiNUur++y/ft9CTY11vuRrEr36tYjGrlFYvz64c6+v\nvkrhb3/LpajI/6VFW7akUFqq53IqeMHUGGZizZH0kH0F9HRgfqiBjDE5WE1Qb3tsGwB0F5EjsRLB\nHPuuXcA44F7gmFBjqeQS7EytsZql1Z0I6pqS3FNaWGfpjTUlBeOXXxp+Nb/9tmETWlWV7+d7Jift\n31ChajQxiMjzwKEiMtuuLcwVkZlhxCoHhgGbPLYNwapBICJrgNbGmDwR+RrIBMYCT4URSyWR0inT\nQkoO9c2cCWPHRm4d6vo1BPeB9+2307xuex6QfR2cy8v9H9g9eTZDPftsWlB9LE5n8LUOpeoLZnbV\nacDl9hn/58B/jTH/DDWQiDhFpP4cSx2w1pJ2+x3oYIxpBdwFTBOR7aHGUsml/kytRVt2YPat5rVX\nS2q3BTJ7Nrz4YuT6Jep3MtfvW/C13VdiOPjgPMaPb5iwnnsuzavpZ9Wquq/ppEnZ/P3vDQcFtmuX\nXzsZH8Drr6fTp4/2K6jwBNPHcDJwFHAusEBErjHGLI1Sedyf7GuAfOAGY8z7IvJyY08sKIjdgiYa\nq/ljjRsHTz+dw/Dhje9727bwYn7xBXTvDrn1+okz7X7dNWvy6NwZsrO972/Vyjpwt22bT5r9DSsr\na7j/7dtN2J3mAAAgAElEQVQdiDRMWP/+t/cOW7du2FHtfi277153X2VlHgUFDR9XVGT9XV6ez157\nNSxHsBLp8xHP8RIhVjCJoUpEXPYaDLPtbZEaL7gRq9bg1hHYJCLXh7qj4uLYzOtXUJCvseIg1imn\nwG235bJ8eRkHHuj0WirUc9+VlVBSkk9mpovi4tAWOzjkkHwuvbSSW27xruhu3w6Qz6hRcOWVFaSm\ngtXyadm2rRTI4b33SthnHyc5OTBkSA6+vjY1NTUNtldXe2/7448SwDs5FBfvpKAg3+u+7dtLKS6u\nwTqnqnvctm0pQC57703ATupAEu3zEa/x4ilWoKQRTOfzdmPMQmB/EfnIGHMS1giipnDXDN7EGu2E\nMaY3sEFESpq4b9UC5ObC5ZdXctddgaemXrs2hX33tdryw7kyucTHp9FzTqSqKv9NSUOG5FJYmMHz\nz6fx1VfBn0utWuX9WHfndjg+/LD5r/lQiSeYxHAm1qikofbtChos7d44Y0xvY8wy+7kT7eao74BV\nxpgPsEYgjQ91v6rlOu+8Kr76KpUVK/wf/L79NoVDD4W8PNgRxoJxvoaeeiYYp9PRoP9g3bq6r9V3\n36UwYUK9tiYPwYwYeuaZhs1Nvl7LGWc0jDNiRA7bt3u/iAUL0nSkkgoo0CR6w0RkETDa3nSyMcZ9\n917A46EEEpFVwCAfd00LZT9KueXkwC23VHDttZmc6ucxX3+dSq9e8NFHLrZvd7D77qEdEVN95BzP\nGoLT2bDGcP31dR3KO3c2fWRQUVHDfQwenMspp8AJJ9Rt83etwvDh3p3VY8Zk8/PPO8nRiW2UH4Fq\nDAfbv4/x8aMT66m4cMIJ1XTp4v9gv2pVCv36QV6ei127Qj9Ip/j4hniu7exODDk5LkaObDj2dMWK\nYLrxAvNVa1m/PoU5cxpuX7kyuMV9fO1TKbdAn9pFACJyAYAxZg8R2RqTUikVJIcDZs0qh54N76uo\nsGoMfftCq1ausM7efSWG+n0VNTUOOnd2htU809QmnZ9/9i7gsGG6ZrRqukCnF/fWu/2faBZEqXD5\nW59h2bJUevWqIT8f8vNhZxiDQXwlhvpNR06nNYS1OkpLWP/5p/+ENnas//6LYLlcVie9Um6BPg31\nP41a+VQJ4aOPUqmogNmzMznzTKt5Jz8/cjWGykrv/TidkJHhCuoq5nB89lnkRhbVT147dsB992Vw\n9NFa01B1AjUl1T8N03EMKiGMHZvFjh0Ohg6tZtQo60iYlxd8YlizJoX337cOxr7a4j0TgMtl/Vg1\nhtATT6yX8PziCyvTuV/XzTdn8vTTgYf8qpan6T1jSsWZzz4rYft2B23b1p3LWE1JwR2E7703g5de\nsoaI+qoxlJR476emBrKygpv3qD7Poa2x4Nmn4XTCkiV1h4CJE7Po1MnJ1KnxtUKeir1AieFIY8x6\nj9vt7Nu65rOKa2lpeCUFsJqSdgV54bNn53JqasOKsmdfhctlPT4z00VZWWK1tj78cDpFRXWJ6bnn\nrGQ4dWolpaXocNYWLFBiMAHuUyqh5Oe7KC4O7uzcsx3e13UM5eUNawzR7HyOpBtusK6xuPbaTObP\n99+E1KVLPh9/vItu3bQFuSXymxjsNZ6VSgqhdD571hh8NSW5V24Dd43BQVaWi7VrU1m1qokFjbKV\nK61MFygpuC1enMa4cVHqUVdxTceoqRYh3OGqvq4zqKjwTjDV1VYfw7ZtKRx2WJgFjEPTp0duDQuV\nWLTzWSWdgnatGmw73/7xtSRofYs8b8wC50PeS4Y2rDHUTcWdDNq1q5t188svUzj4YCevvQavvJLJ\nnXfWX1JFJaOgagzGmGOMMVcaY64wxhwR7UIpFapgV3gLR/0lQ+t3MlujkpKzLX7o0Fyqq+H++2He\nPB3W2lIEs4LbP4G7gT2BvwCF9qpuSsWNUJb/DIfnkqEVHifN7hpDVhK3uui8Si1PME1Jg4AjRcQJ\nYIxJA94Dor/qulJBKhs3obapp76Cgny+/noXgwfn8M03jS/3MXJkNu+/b6/f7OOCf8+mJLD6GAoK\nkrPGoFqmYJqSUtxJAUBEqmn6Qj1KxVQos6v6m77azXO4qstlrcnQtm3yfiU8L9zbbz+dOqMlCKbG\nsNIY8xrwtn37WODT6BVJqcjLybGW+ayqgnSPdW9+/tlBTQ3ss0/dGX9paeB9+aox+LreIVnsvXc+\nxx1n/W0tE6qSXTD/5cnAfKAr0AV4GrgyimVSKuIcDmvIav2rn0eNyuGII7z7JrZtC1xj8Byu6u5j\nSObE4I+IJolkFUyNYaqI3AE8F+3CKBVN+fku/vzTexW3+ste1tTA1q2NJQbv2y0hMSxZUvd3eTks\nWpTGpZdm89FHu7xqWyo5BJMYehpjuovID1EvjVJRtM8+Tr77LpUuXermrqg/4mbbNge77ebymRzc\n10e87LnxCfv3ihY0/fDecAnWD2EOXnfmel8bouJLMHXBg4HvjDGbjTHrjTG/1ptcT6mEcPjhNfzv\nf4FP7YuKHF4L/5SlRW8IbEtW/9oQFV+CSQwnA92BftSt93xMNAulVDT4Sgz1p7woKnJ4DT19fv8b\nonp9REvmeW2Iii/BJIZc4DIR+cWeWG86oN8UlXB6967hm29SGowq8lRUZK3jkJPjwuFw8Uq3K9j6\n00Zm3FaGAxfFRTvoc1g1aalOHLg479wKDulVzVtv7sKBq8X9DDimqvbv4qIdQf2o+BdMYrgfeMPj\n9uPA3OgUR6noycuD7t2dfPFFXa2hfo1h506rj+Htt0u4886K2plW3bOsbtrkoKjIQZ7HqVGyD1cN\nxH0hoEouwSSGNBF5333D82+lEk3//jW8+67/xLBrl4O8PBfdu7to29ZVmxjcndTnn5/Nr7+m0KaN\nq/b5TmdwiWHgwARYsEEpgksMfxpjxhpj9jfGHGiMuQoIYwJjpZrfeedVMW9eOhs2WEf6homB2tpA\naqp1VTPUJYb1660/PFeIC7bG4DnR3pFHJl+SePTR9MYfpBJCMInhAuAw4AXgWaCHvU2phNOjh5Px\n4ys588xsNmxw1PY3uBOEu8YA1rKenov2gNUUNWNGuddBvqbGQVqai9tvD9B5gXfyaNUq+Qa3Xndd\nEs8k2MI02kAoIsXARTEoi1IxMX58FS6Xg2OOyWXPPV1s3mxNl5GZWT8x0KCPYccOB/3717BkSd1X\np7raun/YsGqm2fMOd+zo5IEHyjnllLqFkz2vmfC1MlwyqK621txWic3vv9AY87yIjDbG/IqPa3dE\nZO+olkypKHE4YMKESgYMqCY7G04/PZuNGx107eryakpKSaFBH8POnQ5atXLVnv07HFYfQ1oatG5d\n9zWZPr2Cbt38T6yXrInh9dfTGDEi+ZrJWppAuX2i/fvoSAUzxvQEXgFmichce9ssoD/WjK2TReQz\nY0wHYDawREQej1R8pTz16mUduA89tIaPP06la9fqBjUGp31sdyeGHTusUUvu2y5XXR9DTg707Alf\nfw0jRlTz++/eV0+3hBpDlS4RnRQCfTyNMWYA0NnPT0iMMTlAIXWztGLvv7uIHInVXFVo3+UEHgo1\nhlLhOOOMKh5/PAOXC0pK6hJDWpp10PfkrlG4+yScTu8ZW999Fz74wFrzITXVu6LtOatrSx3eqhJD\noMSwHHgQuBBrudwLPH7ODyNWOTAM2OSxbQhWDQIRWQO0NsbkiUgRUNNwF0pF3rHH1lBRAcuWpfpo\nSvIelZST431QdzodVFY6yMy0kkCbNlYHt/v5niZPrqRrV6fX/pJN/VFeKjEFakoagJUEjgYWAv8W\nkVXhBrIX+6kwxnhu7gB85nH7d3ube8K+JP36qHiSkmIdtAsLMxqMSqrflLTbbi6v2zU1Ddd4cKtf\nK8jPd9G3bw0//ZRCnz41vPSSDu9U8clvYhCRFcAKY0w2MBK4y277nw88Y0+PEWkOAGPMYGAs0MoY\n87uIvNrYEwsK8qNQHI2VDLGCiXf++TBlCuzcCV265NGmDbRtayWAgoL82lrEbrulUFCQX5sIMjLS\nqayEv/wlvzYRuGPl5HjHKCjIIzPT+nvatCyOPx56947QC4wTrVplU1AQ/OP9/V/i7fPR0mIFM1y1\nDPi3MeZZYAwwA2uhnrZhRfS2EauG4NYR2GRP8b00lB0VF8fmmruCgnyNlUCxQonXt282S5emUVGx\nk+Ji2LEjhYqKLIqLS9m+PR3IIiurhuLiUiors4E0du6sAtLYtm1Xg1jWNRJ1X8xt23ZRXp4JpFNc\nvJPt21OwpiJLHn/+WUZxceBRSZ55w9f/JV4/H8kWK1DSaHRshH3F87+AH7H6CC7FOoA3hbuJ6E1g\nlB2nN7BBRBpfrV2pKDjgAKtbyz0O33O4qvt3To53I3p5uYOMDN/7q9/HkJrq3QafjCOT6o/EUokp\n0HUMl2D1MbiwlvM8VES2hRvIPvDPxBrRVGWMGQmcBqwyxnyA1dk8Ptz9K9VURxxRw3331d32HK7q\n/l2/eaiszHf/AkBGhpVsvv3WamNKS/NOKsmYGL7/PglfVAsUqCnpQeB7rOae04G/e3Yci8jgUALZ\nHdeDfNw1LZT9KBUtxx5bw88/11W9Pa98dg9bzc31PrhXVFA7IsmXI47wTAze9/lKDJ06OfntN+uO\nvDwXt91WzqRJ2SG+kuYzf34G995b0fgDVVwLlBi6xqwUSsUJzxqBNVeS1TRSvynJXYMoL3f4rTGA\nd9NRw6akuhsHHFDDq6+WAtCjRz5dujj53/+sVtVJk8J8MUqFKdCopGiMOlIqYXj2MVRVWQki3+6v\nc9cgKir8NyWBdyJorMaw2251fzv9z6ahVNRpg6BSfqSl1SWGykrrd36+y+t2WZmDjIzgrupKS/NO\nFJ4XuemFYSqeaGJQyg/PPgZ3Ith9d+sI7q5BlJcHrjF4SknxrgkE6nxO5CujCwv9DNNSCUMTg1J+\neCaGigpr8rzhw602JHezUEWF/+GqUFcTePZZq//Ac5K5ZByVBDBvXrrWgBKczpyulB+eZ/gVFXDt\ntRW0a2cd8QYOrObTT1MpLydgYnBz1wCqq+uqAp6Jof6B1HOFuESTlgYPPpjOgAE1rFiRypYtDn77\nLYVbbqmgffvEfV0tiSYGpfywagzWgXz7dkdtMxLA1VdX0q9fDaNG5QTsY3B3UvfsaWUYd5OUe/++\nfPnlLq8V4hJNYWE599yTwV13ZVJSUpcIX3klnaIiXRU4ESRpZVappvNc2vP33x20aVN3sHY4YI89\nrNuB+hiGDq2hX7/q2pqG5zTe/jqfO3Rw0bp1k4vfbI44ooZnnilj4MBqrr7a+5qG8sCrn6o4oYlB\nKT/cfQxVVfDFF6m1Z/1u7uaeQE1JJ5xQzYIFZT7vS9Y+BrCS5bx55UydWum1/bHHdEbZRJDEH02l\nmsbdx/D55yl07uxs0O7vvh3uNQeB+hiSSVHRTk44wep1nzdPRywlAk0MSvmRmmo1/bz7bhoDBjRc\nN8rdR1BZ2eAuv7p0qcsinlc+J7vHHivnt992smFDAo/DbUE0MSjlR0aGlRhWrEjlmGP8TyUdytn+\nbbdVIGJ1wHrWGBL5uoVgpKZa7+eHH3pPnrx8eSqdOuU1U6mUP5oYlPIjJcUaevnxx6kcdlhkVprN\nyoLdd6/bv1uyJwa3rl29s+jpp+dQWelg+3br9urVekiKBzpcVakAqqocZGUFHiUUbieyZzJoKYnB\nn6OOyqW42HojV66EvfZq5gK1cJqelWqEe51nf8JNDOE+L1CzVqL54IMSbrutnK1b6zLjaadBu3b5\nLFiQxujR2SxapOevsabvuFKNiKfEcNRR1fz1rzW8/374X93MTBcVFfFRRenRw0mPHk5eeimdlSut\n3vxf7Hmdb745k/XrUxBJoaYGTjopeRJivNMag1KNaNUq8P2RSAzBNiVFoslpn33ib07vk0+uYo89\nnMyeXca338Jnn+1i/XrrDdq4MYULL7QWK9q0yUFRkYOSEu+LBVVkaWJQqhGtWkWnxhBOH4PDEd/9\nEW3bhpd0xo2r4rvvSvi//6tm//1h771djB5dxWGH1bBsmTWS6Y47MujVK4/hw3O4/PIs/vtfbfCI\nFk0MSgWQkeGiTx//I5L69avm5JOr/N4fiOfCPYGunp49u+7K6WCSwllnBb6wIthpwsNxwAGRq43M\nnl3OwoWlHHCAk5Ejq5g1K5MDD6zhxx9TWLgwnQUL0tm8OY6zZALTxKBUAP/7XwkTJvg/0C5YUMbp\np4fXpuF5kH/8cd/TZoA1gZ+v57jNmOE9AVHfvoGH1kazKSmS03ykpFg/Dgc88EA5b71Vwvz5ZbVD\nh996K42DD85jzZqUpL5yPBJcLmso8B13ZPDxx35mb/SgiUGpADp2dJGZGf04f/mL/yNbjcdx3mpK\nsh7rvh7iootCq7F07Rq9xBDN96pXLyd77unittvKayfna9/eyTnnZHPggbmMH5/Fe++l6rKoPtx3\nXwYXXpjNrl0OLr88ixNPzAn4eG2kUyrOea7h0KlT3VHv7bfhsMMaPt5XrWL33V388Yd1x9VXVzJz\nZgyyXZT07u2kd+9Kxoypqp3hdv16B0uWpDF9eiZ//ung9NOrOOOMKjp31qpEUZGD++9P5403SunW\nzcWNN1bw/vupgP/koDUGpZrRmDGNT7TkbiZZs2Ynt99eN421u8YQjAceqGuq8rcOhKeHH/bftBWI\nuzYTC+6kAFZn9cUXV7F0aSlPPFHGn386OP74HPr0yWXMmCzmzMnggw9SvWpfyaamBmbPzuCaazJ5\n9NF0li61pjmfPj2TM86oplu3utmAhwwJ/EZoYlCqGe23X+PtHqecYjUVtWljNdWEMirJ3Z8Qahv8\niBGJOxb0oIOczJhRwTfflPD886UMG1ZNUZGDm27K5PDDc7n//vTaKTiSybhxWbz7bir77ONEJIV/\n/AO6d89j1apUpkypaHwHHrQpSalmFMwBu107F2lpDR/Y2HOLinYyaVIW69bF7/lfQTvfF4kURGj/\n7YH+9TfebP9EIZ4/ztw8SqdMg5uui8r+P/44lc8+S+XDD0tq+3kKCjL46qsSsrNd5OaGtr/4/cQo\n1QIEkxjy8mDjxl21tzt2DL25JlCcSZOss8n09Ng0AzlzW95sqiklu8i5+/ao7f/hh9O5/PLKBp3/\nHTq42G230PeniUGpZhTOMMsRI6r54Qf/ayd7XzjXeID8fOv3WWcFN7rprruatj5n6ZRpLTY5RENJ\nibVmiLvJMRK0KUmpZhROYnA4rGk6dnrkhuHDq3jtNf9XrjUWZ926neTnwxNPNL7C2umnVzF1alaw\nxW2gbNwEysZN8Ht/QUE+xcX+E1+k1Y+3ZYuD5ctTWbo0jRUrUmnTxsXgwTUcd1w1RxxRE/KV5/6a\nyzyVl8O6dSns2uWgUycn7du7vC6ADGTp0jQOPbSGNm1CK1cgMUsMxpiewCvALBGZa2+bhdUE6AQm\nichKY0xf4FLAAUwXkV9jVUalYi1SF2Y9+mg5M2c6qap30hjsQcxdawhGoH0edVTiD/tp397F6NHV\njB5dTVUVfPttCk89lc7kyVlkZro4+ugaUlOhdWsXBx1Uw0EHWddXBPVeOxx++zPCnWn8QvuHdg3v\nC9h3EuDDF5PEYIzJAQqBtz22DQC6i8iRxpj9gMeBI4HL7J9OwMXAjbEoo1LN4eSTq/njj9BGjLjV\n/15fdZU19PW559IaPMb9u6io4Zm4v+NDRoaLysrAR7tFi0oYNiyXbt2cfPRRSVzP4xSO9HTrwrqZ\nMytwuSr45JNUvvgiBacTtm518PjjGXz1VQrt27u49NJKDj7YSefOTq/OXmduXtSakaIlVjWGcmAY\ncK3HtiFYNQhEZI0xprUxJg9IF5EqY8wmfOZApZJH+/YupkwJYdHoIAS6itqtTRsn27YF7mLs0sXJ\n2rW+L3r417/KufrqrNoLyA45JPQmlkTjcED//jX07+9dK3K54J13Unn66XTuuy+FX35JITXVmgur\nshImVt3EjSk3k+tMnOQQk8QgIk6gwhjjubkD8JnH7WJ7W4kxJhOrxrA+FuVTKhHtuSccemjDpptj\njqnh11+tmoH7YF2/VnDggU7ef993YrjjjnKv5/py7rlVXH11FhkZemWxwwFDh9YwdKj1v3C5YNcu\n64KzjAxwOC6lJOtSSh2R6T/ZsQPmzcvgwQetPqVbbqlg1KiG1500FitQM1M8dT67P6UPAXOBVCDo\nQb8FBSE0kjaRxkqsWLGOF8tYq1alAv7jZdl9xLvtZk1/4C6b5wyrubmZFBTUjXPMy8uioCCLRx6x\nFs055xxr++23w7Rp1j6ys+GPP6B163w7TjoFBZGbtjXRPx/tArR1NDVWQQHceitMnQo//wwHHZTt\nN4mHG6s5E8NGrBqCW0dgk4iUAGNC3VmsRjHEcsSExkq8ePEWq7w8E8hg+/ZSIKf28VVV2bi//rt2\nVVBc7G7OymfnznKKi6vYbz/Ybz9rG8B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9XXjr7b+y8zNjUla2RCW78zkTk6HJfXETg4g8qKpnisg8nOsWwtsBUNVONCOO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\nNNYEDgMKVXUoMBHnYrpI9hE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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -2084,15 +1898,6 @@ "# Show the plot on screen\n", "plt.show()" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] } ], "metadata": { From b9ad56a038005aaf56f2a18d92fc40fcae50af48 Mon Sep 17 00:00:00 2001 From: Will Boyd Date: Mon, 28 Nov 2016 18:32:46 -0500 Subject: [PATCH 12/13] Added low and high filter bounds to Pandas DataFrames for Azimuthal and Polar filters --- openmc/filter.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/openmc/filter.py b/openmc/filter.py index 0320cdeca..9da77c18e 100644 --- a/openmc/filter.py +++ b/openmc/filter.py @@ -1323,11 +1323,14 @@ class PolarFilter(Filter): # Extract the lower and upper angle bounds, then repeat and tile # them as necessary to account for other filters. lo_bins = np.repeat(self.bins[:-1], self.stride) + hi_bins = np.repeast(self.bins[1:], self.stride) tile_factor = data_size / len(lo_bins) lo_bins = np.tile(lo_bins, tile_factor) + hi_bins = np.tile(hi_bins, tile_factor) # Add the new angle columns to the DataFrame. df.loc[:, 'polar low'] = lo_bins + df.loc[:, 'polar high'] = hi_bins return df @@ -1399,11 +1402,14 @@ class AzimuthalFilter(Filter): # Extract the lower and upper angle bounds, then repeat and tile # them as necessary to account for other filters. lo_bins = np.repeat(self.bins[:-1], self.stride) + hi_bins = np.repeat(self.bins[1:], self.stride) tile_factor = data_size / len(lo_bins) lo_bins = np.tile(lo_bins, tile_factor) + hi_bins = np.tile(hi_bins, tile_factor) # Add the new angle columns to the DataFrame. df.loc[:, 'azimuthal low'] = lo_bins + df.loc[:, 'azimuthal high'] = hi_bins return df From 81e3230adde9acc211615ae03337fe095eab1dde Mon Sep 17 00:00:00 2001 From: Will Boyd Date: Mon, 28 Nov 2016 19:25:02 -0500 Subject: [PATCH 13/13] Fixed typo in filter.py --- openmc/filter.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/openmc/filter.py b/openmc/filter.py index 9da77c18e..bf59e8238 100644 --- a/openmc/filter.py +++ b/openmc/filter.py @@ -1323,7 +1323,7 @@ class PolarFilter(Filter): # Extract the lower and upper angle bounds, then repeat and tile # them as necessary to account for other filters. lo_bins = np.repeat(self.bins[:-1], self.stride) - hi_bins = np.repeast(self.bins[1:], self.stride) + hi_bins = np.repeat(self.bins[1:], self.stride) tile_factor = data_size / len(lo_bins) lo_bins = np.tile(lo_bins, tile_factor) hi_bins = np.tile(hi_bins, tile_factor)