diff --git a/docs/source/pythonapi/examples/mgxs-part-i.ipynb b/docs/source/pythonapi/examples/mgxs-part-i.ipynb index 610e82ec1..ea75bec72 100644 --- a/docs/source/pythonapi/examples/mgxs-part-i.ipynb +++ b/docs/source/pythonapi/examples/mgxs-part-i.ipynb @@ -372,10 +372,12 @@ "\n", "* `TotalXS`\n", "* `TransportXS`\n", + "* `NuTransportXS`\n", "* `AbsorptionXS`\n", "* `CaptureXS`\n", "* `FissionXS`\n", "* `NuFissionXS`\n", + "* `KappaFissionXS`\n", "* `ScatterXS`\n", "* `NuScatterXS`\n", "* `ScatterMatrixXS`\n", @@ -394,9 +396,9 @@ "outputs": [], "source": [ "# Instantiate a few different sections\n", - "total = mgxs.TotalXS(domain=cell, domain_type='cell', groups=groups)\n", - "absorption = mgxs.AbsorptionXS(domain=cell, domain_type='cell', groups=groups)\n", - "scattering = mgxs.ScatterXS(domain=cell, domain_type='cell', groups=groups)" + "total = mgxs.TotalXS(domain=cell, groups=groups)\n", + "absorption = mgxs.AbsorptionXS(domain=cell, groups=groups)\n", + "scattering = mgxs.ScatterXS(domain=cell, groups=groups)" ] }, { @@ -417,22 +419,24 @@ "data": { "text/plain": [ "OrderedDict([('flux', Tally\n", - " \tID =\t10000\n", - " \tName =\t\n", - " \tFilters =\t\n", - " \t\tcell\t[1]\n", - " \t\tenergy\t[ 0.00000000e+00 6.25000000e-07 2.00000000e+01]\n", - " \tNuclides =\ttotal \n", - " \tScores =\t['flux']\n", - " \tEstimator =\ttracklength), ('absorption', Tally\n", - " \tID =\t10001\n", - " \tName =\t\n", - " \tFilters =\t\n", - " \t\tcell\t[1]\n", - " \t\tenergy\t[ 0.00000000e+00 6.25000000e-07 2.00000000e+01]\n", - " \tNuclides =\ttotal \n", - " \tScores =\t['absorption']\n", - " \tEstimator =\ttracklength)])" + "\tID =\t10000\n", + "\tName =\t\n", + "\tFilters =\t\n", + " \t\tcell\t[1]\n", + " \t\tenergy\t[ 0.00000000e+00 6.25000000e-07 2.00000000e+01]\n", + "\tNuclides =\ttotal \n", + "\tScores =\t['flux']\n", + "\tEstimator =\ttracklength\n", + "), ('absorption', Tally\n", + "\tID =\t10001\n", + "\tName =\t\n", + "\tFilters =\t\n", + " \t\tcell\t[1]\n", + " \t\tenergy\t[ 0.00000000e+00 6.25000000e-07 2.00000000e+01]\n", + "\tNuclides =\ttotal \n", + "\tScores =\t['absorption']\n", + "\tEstimator =\ttracklength\n", + ")])" ] }, "execution_count": 13, @@ -507,10 +511,11 @@ " 888\n", "\n", " Copyright: 2011-2016 Massachusetts Institute of Technology\n", - " License: http://openmc.readthedocs.org/en/latest/license.html\n", + " License: http://openmc.readthedocs.io/en/latest/license.html\n", " Version: 0.7.1\n", - " Git SHA1: df280b60eb1c6d7b7f842e05ede734a4883a0fc8\n", - " Date/Time: 2016-05-05 13:43:54\n", + " Git SHA1: 19feb55e6d5e8350398627f39fb55ee8e2e63011\n", + " Date/Time: 2016-05-13 10:19:16\n", + " MPI Processes: 1\n", "\n", " ===========================================================================\n", " ========================> INITIALIZATION <=========================\n", @@ -595,20 +600,20 @@ "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", - " Total time for initialization = 5.7300E-01 seconds\n", - " Reading cross sections = 1.7600E-01 seconds\n", - " Total time in simulation = 2.1188E+01 seconds\n", - " Time in transport only = 2.1173E+01 seconds\n", - " Time in inactive batches = 2.6880E+00 seconds\n", - " Time in active batches = 1.8500E+01 seconds\n", - " Time synchronizing fission bank = 3.0000E-03 seconds\n", - " Sampling source sites = 2.0000E-03 seconds\n", - " SEND/RECV source sites = 1.0000E-03 seconds\n", + " Total time for initialization = 4.2300E-01 seconds\n", + " Reading cross sections = 9.3000E-02 seconds\n", + " Total time in simulation = 1.6549E+01 seconds\n", + " Time in transport only = 1.6535E+01 seconds\n", + " Time in inactive batches = 2.3650E+00 seconds\n", + " Time in active batches = 1.4184E+01 seconds\n", + " Time synchronizing fission bank = 5.0000E-03 seconds\n", + " Sampling source sites = 3.0000E-03 seconds\n", + " SEND/RECV source sites = 0.0000E+00 seconds\n", " Time accumulating tallies = 0.0000E+00 seconds\n", " Total time for finalization = 0.0000E+00 seconds\n", - " Total time elapsed = 2.1776E+01 seconds\n", - " Calculation Rate (inactive) = 9300.60 neutrons/second\n", - " Calculation Rate (active) = 5405.41 neutrons/second\n", + " Total time elapsed = 1.6981E+01 seconds\n", + " Calculation Rate (inactive) = 10570.8 neutrons/second\n", + " Calculation Rate (active) = 7050.20 neutrons/second\n", "\n", " ============================> RESULTS <============================\n", "\n", @@ -1162,21 +1167,21 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 2", "language": "python", - "name": "python3" + "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", - "version": 3 + "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.5.1" + "pygments_lexer": "ipython2", + "version": "2.7.6" } }, "nbformat": 4, diff --git a/docs/source/pythonapi/examples/mgxs-part-ii.ipynb b/docs/source/pythonapi/examples/mgxs-part-ii.ipynb index fd8d09052..b882e949c 100644 --- a/docs/source/pythonapi/examples/mgxs-part-ii.ipynb +++ b/docs/source/pythonapi/examples/mgxs-part-ii.ipynb @@ -34,16 +34,16 @@ "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", + "/usr/local/lib/python2.7/dist-packages/matplotlib-1.5.1+1178.ga40c9ec-py2.7-linux-x86_64.egg/matplotlib/__init__.py:884: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.\n", + " warnings.warn(self.msg_depr % (key, alt_key))\n", + "/usr/local/lib/python2.7/dist-packages/matplotlib-1.5.1+1178.ga40c9ec-py2.7-linux-x86_64.egg/matplotlib/__init__.py:1362: UserWarning: This call to matplotlib.use() has no effect\n", "because the backend has already been chosen;\n", "matplotlib.use() must be called *before* pylab, matplotlib.pyplot,\n", "or matplotlib.backends is imported for the first time.\n", "\n", " warnings.warn(_use_error_msg)\n", - "/home/romano/miniconda3/envs/default/lib/python3.5/importlib/_bootstrap.py:222: QAWarning: pyne.rxname is not yet QA compliant.\n", - " return f(*args, **kwds)\n", - "/home/romano/miniconda3/envs/default/lib/python3.5/importlib/_bootstrap.py:222: QAWarning: pyne.ace is not yet QA compliant.\n", - " return f(*args, **kwds)\n" + "/usr/local/lib/python2.7/dist-packages/IPython/kernel/__main__.py:9: QAWarning: pyne.rxname is not yet QA compliant.\n", + "/usr/local/lib/python2.7/dist-packages/IPython/kernel/__main__.py:9: QAWarning: pyne.ace is not yet QA compliant.\n" ] } ], @@ -396,9 +396,8 @@ "for cell in openmc_cells:\n", " for rxn_type in xs_library[cell.id]:\n", "\n", - " # Set the cross sections domain type to the cell\n", + " # Set the cross sections domain to the cell\n", " xs_library[cell.id][rxn_type].domain = cell\n", - " xs_library[cell.id][rxn_type].domain_type = 'cell'\n", " \n", " # Tally cross sections by nuclide\n", " xs_library[cell.id][rxn_type].by_nuclide = True\n", @@ -443,10 +442,11 @@ " 888\n", "\n", " Copyright: 2011-2016 Massachusetts Institute of Technology\n", - " License: http://openmc.readthedocs.org/en/latest/license.html\n", + " License: http://openmc.readthedocs.io/en/latest/license.html\n", " Version: 0.7.1\n", - " Git SHA1: df280b60eb1c6d7b7f842e05ede734a4883a0fc8\n", - " Date/Time: 2016-05-05 15:00:51\n", + " Git SHA1: 19feb55e6d5e8350398627f39fb55ee8e2e63011\n", + " Date/Time: 2016-05-13 10:13:48\n", + " MPI Processes: 1\n", "\n", " ===========================================================================\n", " ========================> INITIALIZATION <=========================\n", @@ -522,7 +522,7 @@ " 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 10056\n", + " Triggers unsatisfied, max unc./thresh. is 1.25496 for flux in tally 10051\n", " The estimated number of batches is 73\n", " Creating state point statepoint.050.h5...\n", " 51/1 1.21850 1.22541 +/- 0.00237\n", @@ -548,7 +548,7 @@ " 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 10056\n", + " Triggers unsatisfied, max unc./thresh. is 1.00243 for flux in tally 10051\n", " The estimated number of batches is 74\n", " 74/1 1.22437 1.22487 +/- 0.00188\n", " Triggers satisfied for batch 74\n", @@ -561,20 +561,20 @@ "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", - " Total time for initialization = 3.8600E-01 seconds\n", - " Reading cross sections = 1.1000E-01 seconds\n", - " Total time in simulation = 2.3697E+02 seconds\n", - " Time in transport only = 2.3690E+02 seconds\n", - " Time in inactive batches = 1.5640E+01 seconds\n", - " Time in active batches = 2.2133E+02 seconds\n", - " Time synchronizing fission bank = 3.0000E-02 seconds\n", - " Sampling source sites = 1.9000E-02 seconds\n", - " SEND/RECV source sites = 1.1000E-02 seconds\n", + " Total time for initialization = 5.7400E-01 seconds\n", + " Reading cross sections = 1.2600E-01 seconds\n", + " Total time in simulation = 2.6256E+02 seconds\n", + " Time in transport only = 2.6250E+02 seconds\n", + " Time in inactive batches = 2.2890E+01 seconds\n", + " Time in active batches = 2.3967E+02 seconds\n", + " Time synchronizing fission bank = 3.4000E-02 seconds\n", + " Sampling source sites = 2.1000E-02 seconds\n", + " SEND/RECV source sites = 1.3000E-02 seconds\n", " Time accumulating tallies = 0.0000E+00 seconds\n", - " Total time for finalization = 1.0000E-02 seconds\n", - " Total time elapsed = 2.3743E+02 seconds\n", - " Calculation Rate (inactive) = 6393.86 neutrons/second\n", - " Calculation Rate (active) = 1807.26 neutrons/second\n", + " Total time for finalization = 1.3000E-02 seconds\n", + " Total time elapsed = 2.6320E+02 seconds\n", + " Calculation Rate (inactive) = 4368.72 neutrons/second\n", + " Calculation Rate (active) = 1668.93 neutrons/second\n", "\n", " ============================> RESULTS <============================\n", "\n", @@ -1166,166 +1166,166 @@ "[ 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 3:\tk_eff = 0.658940\tres = 2.793E-02\n", + "[ NORMAL ] Iteration 4:\tk_eff = 0.643012\tres = 2.853E-03\n", "[ NORMAL ] Iteration 5:\tk_eff = 0.625810\tres = 2.417E-02\n", "[ NORMAL ] Iteration 6:\tk_eff = 0.606678\tres = 2.675E-02\n", "[ NORMAL ] Iteration 7:\tk_eff = 0.587485\tres = 3.057E-02\n", - "[ NORMAL ] Iteration 8:\tk_eff = 0.569029\tres = 3.164E-02\n", - "[ NORMAL ] Iteration 9:\tk_eff = 0.551708\tres = 3.142E-02\n", - "[ NORMAL ] Iteration 10:\tk_eff = 0.536035\tres = 3.044E-02\n", - "[ NORMAL ] Iteration 11:\tk_eff = 0.522275\tres = 2.841E-02\n", - "[ NORMAL ] Iteration 12:\tk_eff = 0.510610\tres = 2.567E-02\n", - "[ NORMAL ] Iteration 13:\tk_eff = 0.501107\tres = 2.233E-02\n", - "[ NORMAL ] Iteration 14:\tk_eff = 0.493832\tres = 1.861E-02\n", - "[ NORMAL ] Iteration 15:\tk_eff = 0.488781\tres = 1.452E-02\n", - "[ NORMAL ] Iteration 16:\tk_eff = 0.485924\tres = 1.023E-02\n", - "[ NORMAL ] Iteration 17:\tk_eff = 0.485212\tres = 5.845E-03\n", - "[ NORMAL ] Iteration 18:\tk_eff = 0.486571\tres = 1.466E-03\n", - "[ NORMAL ] Iteration 19:\tk_eff = 0.489906\tres = 2.802E-03\n", - "[ NORMAL ] Iteration 20:\tk_eff = 0.495106\tres = 6.853E-03\n", - "[ NORMAL ] Iteration 21:\tk_eff = 0.502056\tres = 1.061E-02\n", - "[ NORMAL ] Iteration 22:\tk_eff = 0.510631\tres = 1.404E-02\n", - "[ NORMAL ] Iteration 23:\tk_eff = 0.520696\tres = 1.708E-02\n", - "[ NORMAL ] Iteration 24:\tk_eff = 0.532121\tres = 1.971E-02\n", - "[ NORMAL ] Iteration 25:\tk_eff = 0.544768\tres = 2.194E-02\n", - "[ NORMAL ] Iteration 26:\tk_eff = 0.558506\tres = 2.377E-02\n", - "[ NORMAL ] Iteration 27:\tk_eff = 0.573200\tres = 2.522E-02\n", - "[ NORMAL ] Iteration 28:\tk_eff = 0.588723\tres = 2.631E-02\n", - "[ NORMAL ] Iteration 29:\tk_eff = 0.604951\tres = 2.708E-02\n", - "[ NORMAL ] Iteration 30:\tk_eff = 0.621766\tres = 2.757E-02\n", - "[ NORMAL ] Iteration 31:\tk_eff = 0.639054\tres = 2.779E-02\n", - "[ NORMAL ] Iteration 32:\tk_eff = 0.656709\tres = 2.781E-02\n", - "[ NORMAL ] Iteration 33:\tk_eff = 0.674632\tres = 2.763E-02\n", - "[ NORMAL ] Iteration 34:\tk_eff = 0.692731\tres = 2.729E-02\n", - "[ NORMAL ] Iteration 35:\tk_eff = 0.710919\tres = 2.683E-02\n", - "[ NORMAL ] Iteration 36:\tk_eff = 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NORMAL ] Iteration 162:\tk_eff = 1.220892\tres = 1.002E-05\n" ] } ], @@ -1358,8 +1358,8 @@ "output_type": "stream", "text": [ "openmc keff = 1.223474\n", - "openmoc keff = 1.220923\n", - "bias [pcm]: -255.0\n" + "openmoc keff = 1.220892\n", + "bias [pcm]: -258.1\n" ] } ], @@ -1435,236 +1435,236 @@ "[ 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 = 0.557478\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 1:\tk_eff = 0.557477\tres = 5.042E-01\n", + "[ NORMAL ] Iteration 2:\tk_eff = 0.518300\tres = 1.244E-01\n", + "[ NORMAL ] Iteration 3:\tk_eff = 0.509211\tres = 7.027E-02\n", + "[ NORMAL ] Iteration 4:\tk_eff = 0.496489\tres = 1.754E-02\n", "[ NORMAL 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2.385E-05\n", + "[ NORMAL ] Iteration 209:\tk_eff = 1.222847\tres = 2.294E-05\n", + "[ NORMAL ] Iteration 210:\tk_eff = 1.222873\tres = 2.206E-05\n", + "[ NORMAL ] Iteration 211:\tk_eff = 1.222898\tres = 2.122E-05\n", + "[ NORMAL ] Iteration 212:\tk_eff = 1.222922\tres = 2.041E-05\n", + "[ NORMAL ] Iteration 213:\tk_eff = 1.222945\tres = 1.963E-05\n", + "[ NORMAL ] Iteration 214:\tk_eff = 1.222968\tres = 1.888E-05\n", + "[ NORMAL ] Iteration 215:\tk_eff = 1.222989\tres = 1.816E-05\n", + "[ NORMAL ] Iteration 216:\tk_eff = 1.223009\tres = 1.746E-05\n", + "[ NORMAL ] Iteration 217:\tk_eff = 1.223029\tres = 1.680E-05\n", + "[ NORMAL ] Iteration 218:\tk_eff = 1.223048\tres = 1.615E-05\n", + "[ NORMAL ] Iteration 219:\tk_eff = 1.223067\tres = 1.554E-05\n", + "[ NORMAL ] Iteration 220:\tk_eff = 1.223084\tres = 1.494E-05\n", + "[ NORMAL ] Iteration 221:\tk_eff = 1.223101\tres = 1.437E-05\n", + "[ NORMAL ] Iteration 222:\tk_eff = 1.223117\tres = 1.382E-05\n", + "[ NORMAL ] Iteration 223:\tk_eff = 1.223133\tres = 1.329E-05\n", + "[ NORMAL ] Iteration 224:\tk_eff = 1.223148\tres = 1.279E-05\n", + "[ NORMAL ] Iteration 225:\tk_eff = 1.223162\tres = 1.230E-05\n", + "[ NORMAL ] Iteration 226:\tk_eff = 1.223176\tres = 1.183E-05\n", + "[ NORMAL ] Iteration 227:\tk_eff = 1.223190\tres = 1.137E-05\n", + "[ NORMAL ] Iteration 228:\tk_eff = 1.223203\tres = 1.094E-05\n", + "[ NORMAL ] Iteration 229:\tk_eff = 1.223215\tres = 1.052E-05\n", + "[ NORMAL ] Iteration 230:\tk_eff = 1.223227\tres = 1.012E-05\n" ] } ], @@ -1690,8 +1690,8 @@ "output_type": "stream", "text": [ "openmc keff = 1.223474\n", - "openmoc keff = 1.223258\n", - "bias [pcm]: -21.5\n" + "openmoc keff = 1.223227\n", + "bias [pcm]: -24.7\n" ] } ], @@ -1780,9 +1780,9 @@ }, { "data": { - "image/png": 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s//SZaStbolLd0ZyNidDkt7hJQUQeUNXTRGQ2zn0J4e0AqGonmuHGpEqwvEub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\nRK5CYII=\n", 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N73Q6ue++BxgzZhyPPfZos+WNVcYlBxEpFZGPReSUVMdu397DrFm1dO7s5uSTS1izRjuq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\n+KP1PP8hsU6nNWku3KqsyVy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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1892,25 +1892,34 @@ "# Show the plot on screen\n", "plt.show()" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 2", "language": "python", - "name": "python3" + "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", - "version": 3 + "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.5.1" + "pygments_lexer": "ipython2", + "version": "2.7.6" } }, "nbformat": 4, diff --git a/docs/source/pythonapi/examples/mgxs-part-iii.ipynb b/docs/source/pythonapi/examples/mgxs-part-iii.ipynb index c39f21dfa..bc2f96414 100644 --- a/docs/source/pythonapi/examples/mgxs-part-iii.ipynb +++ b/docs/source/pythonapi/examples/mgxs-part-iii.ipynb @@ -32,7 +32,7 @@ "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/wboyd/anaconda2/lib/python2.7/site-packages/matplotlib/__init__.py:1350: UserWarning: This call to matplotlib.use() has no effect\n", "because the backend has already been chosen;\n", "matplotlib.use() must be called *before* pylab, matplotlib.pyplot,\n", "or matplotlib.backends is imported for the first time.\n", @@ -459,7 +459,7 @@ "outputs": [ { "data": { - "image/png": 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"text/plain": [ "" ] @@ -539,10 +539,12 @@ "\n", "* `TotalXS` (`\"total\"`)\n", "* `TransportXS` (`\"transport\"`)\n", + "* `NuTransportXS` (`\"nu-transport\"`)\n", "* `AbsorptionXS` (`\"absorption\"`)\n", "* `CaptureXS` (`\"capture\"`)\n", "* `FissionXS` (`\"fission\"`)\n", "* `NuFissionXS` (`\"nu-fission\"`)\n", + "* `KappaFissionXS` (`\"kappa-fission\"`)\n", "* `ScatterXS` (`\"scatter\"`)\n", "* `NuScatterXS` (`\"nu-scatter\"`)\n", "* `ScatterMatrixXS` (`\"scatter matrix\"`)\n", @@ -584,7 +586,7 @@ "outputs": [], "source": [ "# Specify a \"cell\" domain type for the cross section tally filters\n", - "mgxs_lib.domain_type = \"cell\"\n", + "mgxs_lib.domain_type = 'cell'\n", "\n", "# Specify the cell domains over which to compute multi-group cross sections\n", "mgxs_lib.domains = geometry.get_all_material_cells()" @@ -722,10 +724,11 @@ " 888\n", "\n", " Copyright: 2011-2016 Massachusetts Institute of Technology\n", - " License: http://openmc.readthedocs.org/en/latest/license.html\n", + " License: http://openmc.readthedocs.io/en/latest/license.html\n", " Version: 0.7.1\n", - " Git SHA1: df280b60eb1c6d7b7f842e05ede734a4883a0fc8\n", - " Date/Time: 2016-05-05 15:06:49\n", + " Git SHA1: 47ef320ad517612376e181ec6a6bc42ca0db98ce\n", + " Date/Time: 2016-05-14 12:29:07\n", + " MPI Processes: 1\n", "\n", " ===========================================================================\n", " ========================> INITIALIZATION <=========================\n", @@ -811,20 +814,20 @@ "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", - " Total time for initialization = 4.1500E-01 seconds\n", - " Reading cross sections = 1.1800E-01 seconds\n", - " Total time in simulation = 5.3686E+01 seconds\n", - " Time in transport only = 5.3657E+01 seconds\n", - " Time in inactive batches = 4.3970E+00 seconds\n", - " Time in active batches = 4.9289E+01 seconds\n", - " Time synchronizing fission bank = 3.0000E-03 seconds\n", + " Total time for initialization = 5.7700E-01 seconds\n", + " Reading cross sections = 1.3400E-01 seconds\n", + " Total time in simulation = 8.0461E+01 seconds\n", + " Time in transport only = 8.0422E+01 seconds\n", + " Time in inactive batches = 6.4060E+00 seconds\n", + " Time in active batches = 7.4055E+01 seconds\n", + " Time synchronizing fission bank = 6.0000E-03 seconds\n", " Sampling source sites = 2.0000E-03 seconds\n", - " SEND/RECV source sites = 1.0000E-03 seconds\n", + " SEND/RECV source sites = 3.0000E-03 seconds\n", " Time accumulating tallies = 0.0000E+00 seconds\n", " Total time for finalization = 0.0000E+00 seconds\n", - " Total time elapsed = 5.4118E+01 seconds\n", - " Calculation Rate (inactive) = 5685.70 neutrons/second\n", - " Calculation Rate (active) = 2028.85 neutrons/second\n", + " Total time elapsed = 8.1067E+01 seconds\n", + " Calculation Rate (inactive) = 3902.59 neutrons/second\n", + " Calculation Rate (active) = 1350.35 neutrons/second\n", "\n", " ============================> RESULTS <============================\n", "\n", @@ -950,7 +953,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/romano/openmc/openmc/tallies.py:1996: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/wboyd/Documents/NSE-CRPG-Codes/openmc/openmc/tallies.py:1988: RuntimeWarning: invalid value encountered in true_divide\n", " self_rel_err = data['self']['std. dev.'] / data['self']['mean']\n" ] }, @@ -1099,7 +1102,7 @@ "cell_type": "code", "execution_count": 32, "metadata": { - "collapsed": true + "collapsed": false }, "outputs": [], "source": [ @@ -1300,121 +1303,121 @@ "[ NORMAL ] Iteration 0:\tk_eff = 0.854370\tres = 0.000E+00\n", "[ NORMAL ] Iteration 1:\tk_eff = 0.801922\tres = 1.521E-01\n", "[ NORMAL ] Iteration 2:\tk_eff = 0.761745\tres = 6.349E-02\n", - "[ NORMAL ] Iteration 3:\tk_eff = 0.732367\tres = 5.029E-02\n", - "[ NORMAL ] Iteration 4:\tk_eff = 0.711075\tres = 3.869E-02\n", - "[ NORMAL ] Iteration 5:\tk_eff = 0.696557\tres = 2.912E-02\n", - "[ 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- "[ NORMAL ] Iteration 36:\tk_eff = 0.948791\tres = 6.744E-03\n", - "[ NORMAL ] Iteration 37:\tk_eff = 0.954357\tres = 6.295E-03\n", - "[ NORMAL ] Iteration 38:\tk_eff = 0.959575\tres = 5.871E-03\n", - "[ NORMAL ] Iteration 39:\tk_eff = 0.964461\tres = 5.472E-03\n", - "[ NORMAL ] Iteration 40:\tk_eff = 0.969033\tres = 5.097E-03\n", - "[ NORMAL ] Iteration 41:\tk_eff = 0.973306\tres = 4.744E-03\n", - "[ NORMAL ] Iteration 42:\tk_eff = 0.977297\tres = 4.414E-03\n", - "[ NORMAL ] Iteration 43:\tk_eff = 0.981021\tres = 4.104E-03\n", - "[ NORMAL ] Iteration 44:\tk_eff = 0.984493\tres = 3.814E-03\n", - "[ NORMAL ] Iteration 45:\tk_eff = 0.987729\tres = 3.543E-03\n", - "[ NORMAL ] Iteration 46:\tk_eff = 0.990741\tres = 3.290E-03\n", - "[ NORMAL ] Iteration 47:\tk_eff = 0.993545\tres = 3.053E-03\n", - "[ NORMAL ] Iteration 48:\tk_eff = 0.996153\tres = 2.833E-03\n", - "[ NORMAL ] Iteration 49:\tk_eff = 0.998577\tres = 2.627E-03\n", - "[ NORMAL ] Iteration 50:\tk_eff = 1.000829\tres = 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5.039E-05\n", + "[ NORMAL ] Iteration 99:\tk_eff = 1.028103\tres = 4.635E-05\n", + "[ NORMAL ] Iteration 100:\tk_eff = 1.028143\tres = 4.262E-05\n", + "[ NORMAL ] Iteration 101:\tk_eff = 1.028180\tres = 3.919E-05\n", + "[ NORMAL ] Iteration 102:\tk_eff = 1.028214\tres = 3.603E-05\n", + "[ NORMAL ] Iteration 103:\tk_eff = 1.028245\tres = 3.313E-05\n", + "[ NORMAL ] Iteration 104:\tk_eff = 1.028274\tres = 3.046E-05\n", + "[ NORMAL ] Iteration 105:\tk_eff = 1.028300\tres = 2.800E-05\n", + "[ NORMAL ] Iteration 106:\tk_eff = 1.028324\tres = 2.574E-05\n", + "[ NORMAL ] Iteration 107:\tk_eff = 1.028347\tres = 2.366E-05\n", + "[ NORMAL ] Iteration 108:\tk_eff = 1.028367\tres = 2.175E-05\n", + "[ NORMAL ] Iteration 109:\tk_eff = 1.028386\tres = 1.999E-05\n", + "[ NORMAL ] Iteration 110:\tk_eff = 1.028403\tres = 1.837E-05\n", + "[ NORMAL ] Iteration 111:\tk_eff = 1.028419\tres = 1.688E-05\n", + "[ NORMAL ] Iteration 112:\tk_eff = 1.028434\tres = 1.551E-05\n", + "[ NORMAL ] Iteration 113:\tk_eff = 1.028447\tres = 1.426E-05\n", + "[ NORMAL ] Iteration 114:\tk_eff = 1.028460\tres = 1.310E-05\n", + "[ NORMAL ] Iteration 115:\tk_eff = 1.028471\tres = 1.204E-05\n", + "[ NORMAL ] Iteration 116:\tk_eff = 1.028481\tres = 1.106E-05\n", + "[ NORMAL ] Iteration 117:\tk_eff = 1.028491\tres = 1.016E-05\n" ] } ], @@ -1447,8 +1450,8 @@ "output_type": "stream", "text": [ "openmc keff = 1.028263\n", - "openmoc keff = 1.028538\n", - "bias [pcm]: 27.5\n" + "openmoc keff = 1.028491\n", + "bias [pcm]: 22.8\n" ] } ], @@ -1556,7 +1559,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 43, @@ -1565,9 +1568,9 @@ }, { "data": { - "image/png": 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Mpk37fDP7hZn9q5nt0TKLhJh45NuibRnpglGfBy52dzezvwM+A7yvmfCCxQPH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\nAElFTkSuQmCC\n", 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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1575,6 +1578,10 @@ } ], "source": [ + "# Ignore zero fission rates in guide tubes with Matplotlib color scheme\n", + "openmc_fission_rates[openmc_fission_rates == 0] = np.nan\n", + "openmoc_fission_rates[openmoc_fission_rates == 0] = np.nan\n", + "\n", "# Plot OpenMC's fission rates in the left subplot\n", "fig = plt.subplot(121)\n", "plt.imshow(openmc_fission_rates, interpolation='none', cmap='jet')\n", @@ -1589,21 +1596,21 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 2", "language": "python", - "name": "python3" + "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", - "version": 3 + "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.5.1" + "pygments_lexer": "ipython2", + "version": "2.7.11" } }, "nbformat": 4, diff --git a/openmc/material.py b/openmc/material.py index e9a74f1e7..bf66cf11d 100644 --- a/openmc/material.py +++ b/openmc/material.py @@ -506,7 +506,7 @@ class Material(object): for nuclide_name in self._nuclides: self._nuclides[nuclide_name][0].scattering = 'iso-in-lab' for element_name in self._elements: - self._element[element_name][0].scattering = 'iso-in-lab' + self._elements[element_name][0].scattering = 'iso-in-lab' def get_all_nuclides(self): """Returns all nuclides in the material diff --git a/openmc/mgxs/library.py b/openmc/mgxs/library.py index d5d5a62f0..ea856d735 100644 --- a/openmc/mgxs/library.py +++ b/openmc/mgxs/library.py @@ -2,6 +2,7 @@ import sys import os import copy import pickle +import warnings from numbers import Integral from collections import OrderedDict @@ -57,6 +58,8 @@ class Library(object): The spatial domain(s) for which MGXS in the Library are computed correction : {'P0', None} Apply the P0 correction to scattering matrices if set to 'P0' + legendre_order : int + The highest legendre moment in the scattering matrices (default is 0) energy_groups : openmc.mgxs.EnergyGroups Energy group structure for energy condensation tally_trigger : openmc.Trigger @@ -89,8 +92,9 @@ class Library(object): self._mgxs_types = [] self._domain_type = None self._domains = 'all' - self._correction = 'P0' self._energy_groups = None + self._correction = 'P0' + self._legendre_order = 0 self._tally_trigger = None self._all_mgxs = OrderedDict() self._sp_filename = None @@ -118,6 +122,7 @@ class Library(object): clone._domain_type = self.domain_type clone._domains = copy.deepcopy(self.domains) clone._correction = self.correction + clone._legendre_order = self.legendre_order clone._energy_groups = copy.deepcopy(self.energy_groups, memo) clone._tally_trigger = copy.deepcopy(self.tally_trigger, memo) clone._all_mgxs = copy.deepcopy(self.all_mgxs) @@ -185,13 +190,17 @@ class Library(object): else: return self._domains + @property + def energy_groups(self): + return self._energy_groups + @property def correction(self): return self._correction @property - def energy_groups(self): - return self._energy_groups + def legendre_order(self): + return self._legendre_order @property def tally_trigger(self): @@ -280,16 +289,36 @@ class Library(object): self._domains = domains - @correction.setter - def correction(self, correction): - cv.check_value('correction', correction, ('P0', None)) - self._correction = correction - @energy_groups.setter def energy_groups(self, energy_groups): cv.check_type('energy groups', energy_groups, openmc.mgxs.EnergyGroups) self._energy_groups = energy_groups + @correction.setter + def correction(self, correction): + cv.check_value('correction', correction, ('P0', None)) + + if correction == 'P0' and self.legendre_order > 0: + msg = 'The P0 correction will be ignored since the scattering ' \ + 'order {} is greater than zero'.format(self.legendre_order) + warnings.warn(msg) + + self._correction = correction + + @legendre_order.setter + def legendre_order(self, legendre_order): + cv.check_type('legendre_order', legendre_order, Integral) + cv.check_greater_than('legendre_order', legendre_order, 0, equality=True) + cv.check_less_than('legendre_order', legendre_order, 10, equality=True) + + if self.correction == 'P0' and legendre_order > 0: + msg = 'The P0 correction will be ignored since the scattering ' \ + 'order {} is greater than zero'.format(self.legendre_order) + warnings.warn(msg, RuntimeWarning) + self.correction = None + + self._legendre_order = legendre_order + @tally_trigger.setter def tally_trigger(self, tally_trigger): cv.check_type('tally trigger', tally_trigger, openmc.Trigger) @@ -344,6 +373,7 @@ class Library(object): # Specify whether to use a transport ('P0') correction if isinstance(mgxs, openmc.mgxs.ScatterMatrixXS): mgxs.correction = self.correction + mgxs.legendre_order = self.legendre_order self.all_mgxs[domain.id][mgxs_type] = mgxs diff --git a/openmc/mgxs/mgxs.py b/openmc/mgxs/mgxs.py index f8a712f68..34a5b88b5 100644 --- a/openmc/mgxs/mgxs.py +++ b/openmc/mgxs/mgxs.py @@ -2,6 +2,7 @@ from __future__ import division from collections import Iterable, OrderedDict from numbers import Integral +import warnings import os import sys import copy @@ -21,6 +22,7 @@ if sys.version_info[0] >= 3: # Supported cross section types MGXS_TYPES = ['total', 'transport', + 'nu-transport', 'absorption', 'capture', 'fission', @@ -88,6 +90,15 @@ class MGXS(object): tally_trigger : openmc.Trigger An (optional) tally precision trigger given to each tally used to compute the cross section + scores : list of str + The scores in each tally used to compute the multi-group cross section + filters : list of openmc.Filter + The filters in each tally used to compute the multi-group cross section + tally_keys : list of str + The keys into the tallies dictionary for each tally used to compute + the multi-group cross section + estimator : {'tracklength', 'analog'} + The tally estimator used to compute the multi-group cross section tallies : collections.OrderedDict OpenMC tallies needed to compute the multi-group cross section rxn_rate_tally : openmc.Tally @@ -113,8 +124,12 @@ class MGXS(object): sparse : bool Whether or not the MGXS' tallies use SciPy's LIL sparse matrix format for compressed data storage + loaded_sp : bool + Whether or not a statepoint file has been loaded with tally data derived : bool Whether or not the MGXS is merged from one or more other MGXS + hdf5_key : str + The key used to index multi-group cross sections in an HDF5 data store """ @@ -136,7 +151,9 @@ class MGXS(object): self._rxn_rate_tally = None self._xs_tally = None self._sparse = False + self._loaded_sp = False self._derived = False + self._hdf5_key = None self.name = name self.by_nuclide = by_nuclide @@ -211,12 +228,71 @@ class MGXS(object): def num_groups(self): return self.energy_groups.num_groups + @property + def scores(self): + return ['flux', self.rxn_type] + + @property + def filters(self): + group_edges = self.energy_groups.group_edges + energy_filter = openmc.Filter('energy', group_edges) + return [[energy_filter]] * len(self.scores) + + @property + def tally_keys(self): + return self.scores + + @property + def estimator(self): + return 'tracklength' + @property def tallies(self): + """Construct the OpenMC tallies needed to compute the cross section.""" + + # Instantiate tallies if they do not exist + if self._tallies is None: + + # Initialize a collection of Tallies + self._tallies = OrderedDict() + + # Create a domain Filter object + domain_filter = openmc.Filter(self.domain_type, self.domain.id) + + # Create each Tally needed to compute the multi group cross section + tally_metadata = zip(self.scores, self.tally_keys, self.filters) + for score, key, filters in tally_metadata: + self._tallies[key] = openmc.Tally(name=self.name) + self._tallies[key].scores = [score] + self._tallies[key].estimator = self.estimator + self._tallies[key].filters = [domain_filter] + + # If a tally trigger was specified, add it to each tally + if self.tally_trigger: + trigger_clone = copy.deepcopy(self.tally_trigger) + trigger_clone.scores = [score] + self._tallies[key].triggers.append(trigger_clone) + + # Add non-domain specific Filters (e.g., 'energy') to the Tally + for add_filter in filters: + self._tallies[key].filters.append(add_filter) + + # If this is a by-nuclide cross-section, add nuclides to Tally + if self.by_nuclide and score != 'flux': + all_nuclides = self.get_all_nuclides() + for nuclide in all_nuclides: + self._tallies[key].nuclides.append(nuclide) + else: + self._tallies[key].nuclides.append('total') + return self._tallies @property def rxn_rate_tally(self): + if self._rxn_rate_tally is None: + self._rxn_rate_tally = self.tallies[self.rxn_type] + self._rxn_rate_tally.sparse = self.sparse + return self._rxn_rate_tally @property @@ -257,10 +333,21 @@ class MGXS(object): else: return 'sum' + @property + def loaded_sp(self): + return self._loaded_sp + @property def derived(self): return self._derived + @property + def hdf5_key(self): + if self._hdf5_key is not None: + return self._hdf5_key + else: + return self._rxn_type + @name.setter def name(self, name): cv.check_type('name', name, basestring) @@ -281,6 +368,15 @@ class MGXS(object): cv.check_type('domain', domain, tuple(_DOMAINS)) self._domain = domain + # Assign a domain type + if self.domain_type is None: + if isinstance(domain, openmc.Material): + self._domain_type = 'material' + elif isinstance(domain, openmc.Cell): + self._domain_type = 'cell' + elif isinstance(domain, openmc.Universe): + self._domain_type = 'universe' + @domain_type.setter def domain_type(self, domain_type): cv.check_value('domain type', domain_type, tuple(DOMAIN_TYPES)) @@ -332,7 +428,7 @@ class MGXS(object): Parameters ---------- - mgxs_type : {'total', 'transport', 'absorption', 'capture', 'fission', 'nu-fission', 'kappa-fission', 'scatter', 'nu-scatter', 'scatter matrix', 'nu-scatter matrix', 'chi'} + mgxs_type : {'total', 'transport', 'nu-transport', 'absorption', 'capture', 'fission', 'nu-fission', 'kappa-fission', 'scatter', 'nu-scatter', 'scatter matrix', 'nu-scatter matrix', 'chi'} The type of multi-group cross section object to return domain : openmc.Material or openmc.Cell or openmc.Universe The domain for spatial homogenization @@ -361,6 +457,8 @@ class MGXS(object): mgxs = TotalXS(domain, domain_type, energy_groups) elif mgxs_type == 'transport': mgxs = TransportXS(domain, domain_type, energy_groups) + elif mgxs_type == 'nu-transport': + mgxs = NuTransportXS(domain, domain_type, energy_groups) elif mgxs_type == 'absorption': mgxs = AbsorptionXS(domain, domain_type, energy_groups) elif mgxs_type == 'capture': @@ -500,63 +598,6 @@ class MGXS(object): return densities - def _create_tallies(self, scores, all_filters, keys, estimator): - """Instantiates tallies needed to compute the multi-group cross section. - - This is a helper method for MGXS subclasses to create tallies - for input file generation. The tallies are stored in the tallies dict. - This method is called by each subclass' tallies property getter - which define the parameters given to this parent class method. - - Parameters - ---------- - scores : Iterable of str - Scores for each tally - all_filters : Iterable of tuple of openmc.Filter - Tuples of non-spatial domain filters for each tally - keys : Iterable of str - Key string used to store each tally in the tallies dictionary - estimator : {'analog', 'tracklength'} - Type of estimator to use for each tally - - """ - - cv.check_iterable_type('scores', scores, basestring) - cv.check_length('scores', scores, len(keys)) - cv.check_iterable_type('filters', all_filters, openmc.Filter, 1, 2) - cv.check_type('keys', keys, Iterable, basestring) - cv.check_value('estimator', estimator, ['analog', 'tracklength']) - - self._tallies = OrderedDict() - - # Create a domain Filter object - domain_filter = openmc.Filter(self.domain_type, self.domain.id) - - # Create each Tally needed to compute the multi group cross section - for score, key, filters in zip(scores, keys, all_filters): - self.tallies[key] = openmc.Tally(name=self.name) - self.tallies[key].scores = [score] - self.tallies[key].estimator = estimator - self.tallies[key].filters = [domain_filter] - - # If a tally trigger was specified, add it to each tally - if self.tally_trigger: - trigger_clone = copy.deepcopy(self.tally_trigger) - trigger_clone.scores = [score] - self.tallies[key].triggers.append(trigger_clone) - - # Add all non-domain specific Filters (e.g., 'energy') to the Tally - for add_filter in filters: - self.tallies[key].filters.append(add_filter) - - # If this is a by-nuclide cross-section, add all nuclides to Tally - if self.by_nuclide and score != 'flux': - all_nuclides = self.get_all_nuclides() - for nuclide in all_nuclides: - self.tallies[key].nuclides.append(nuclide) - else: - self.tallies[key].nuclides.append('total') - def _compute_xs(self): """Performs generic cleanup after a subclass' uses tally arithmetic to compute a multi-group cross section as a derived tally. @@ -638,9 +679,11 @@ class MGXS(object): filter_bins = [] # Clear any tallies previously loaded from a statepoint - self._tallies = None - self._xs_tally = None - self._rxn_rate_tally = None + if self.loaded_sp: + self._tallies = None + self._xs_tally = None + self._rxn_rate_tally = None + self._loaded_sp = False # Find, slice and store Tallies from StatePoint # The tally slicing is needed if tally merging was used @@ -653,6 +696,8 @@ class MGXS(object): sp_tally.sparse = self.sparse self.tallies[tally_type] = sp_tally + self._loaded_sp = True + def get_xs(self, groups='all', subdomains='all', nuclides='all', xs_type='macro', order_groups='increasing', value='mean', **kwargs): @@ -1247,8 +1292,8 @@ class MGXS(object): else: subdomain_group = domain_group - # Create a separate HDF5 group for the rxn type - rxn_group = subdomain_group.require_group(self.rxn_type) + # Create a separate HDF5 group for this cross section + rxn_group = subdomain_group.require_group(self.hdf5_key) # Create a separate HDF5 group for each nuclide for j, nuclide in enumerate(nuclides): @@ -1435,7 +1480,8 @@ class MGXS(object): df.rename(columns={'energyout low [MeV]': 'group out'}, inplace=True) - out_groups = np.tile(all_groups, df.shape[0] / all_groups.size) + out_groups = np.repeat(all_groups, self.xs_tally.num_scores) + out_groups = np.tile(out_groups, df.shape[0] / out_groups.size) df['group out'] = out_groups del df['energyout high [MeV]'] columns = ['group in', 'group out'] @@ -1487,41 +1533,6 @@ class TotalXS(MGXS): groups, by_nuclide, name) self._rxn_type = 'total' - @property - def tallies(self): - """Construct the OpenMC tallies needed to compute this cross section. - - This method constructs two tracklength tallies to compute the 'flux' - and 'total' reaction rates in the spatial domain and energy groups - of interest. - - """ - - # Instantiate tallies if they do not exist - if self._tallies is None: - - # Create a list of scores for each Tally to be created - scores = ['flux', 'total'] - estimator = 'tracklength' - keys = scores - - # Create the non-domain specific Filters for the Tallies - group_edges = self.energy_groups.group_edges - energy_filter = openmc.Filter('energy', group_edges) - filters = [[energy_filter], [energy_filter]] - - # Initialize the Tallies - self._create_tallies(scores, filters, keys, estimator) - - return self._tallies - - @property - def rxn_rate_tally(self): - if self._rxn_rate_tally is None : - self._rxn_rate_tally = self.tallies['total'] - self._rxn_rate_tally.sparse = self.sparse - return self._rxn_rate_tally - class TransportXS(MGXS): """A transport-corrected total multi-group cross section.""" @@ -1533,51 +1544,50 @@ class TransportXS(MGXS): self._rxn_type = 'transport' @property - def tallies(self): - """Construct the OpenMC tallies needed to compute this cross section. + def scores(self): + return ['flux', 'total', 'scatter-1'] - This method constructs three analog tallies to compute the 'flux', - 'total' and 'scatter-P1' reaction rates in the spatial domain and - energy groups of interest. + @property + def filters(self): + group_edges = self.energy_groups.group_edges + energy_filter = openmc.Filter('energy', group_edges) + energyout_filter = openmc.Filter('energyout', group_edges) + return [[energy_filter], [energy_filter], [energyout_filter]] - """ - - # Instantiate tallies if they do not exist - if self._tallies is None: - - # Create a list of scores for each Tally to be created - scores = ['flux', 'total', 'scatter-P1'] - estimator = 'analog' - keys = scores - - # Create the non-domain specific Filters for the Tallies - group_edges = self.energy_groups.group_edges - energy_filter = openmc.Filter('energy', group_edges) - energyout_filter = openmc.Filter('energyout', group_edges) - filters = [[energy_filter], [energy_filter], [energyout_filter]] - - # Initialize the Tallies - self._create_tallies(scores, filters, keys, estimator) - - return self._tallies + @property + def estimator(self): + return 'analog' @property def rxn_rate_tally(self): if self._rxn_rate_tally is None: - scatter_p1 = copy.deepcopy(self.tallies['scatter-P1']) - - # Use tally slicing to remove scatter-P0 data from scatter-P1 tally - self.tallies['scatter-P1'] = \ - scatter_p1.get_slice(scores=['scatter-P1']) - - self.tallies['scatter-P1'].filters[-1].type = 'energy' + self.tallies['scatter-1'].filters[-1].type = 'energy' self._rxn_rate_tally = \ - self.tallies['total'] - self.tallies['scatter-P1'] + self.tallies['total'] - self.tallies['scatter-1'] self._rxn_rate_tally.sparse = self.sparse return self._rxn_rate_tally +class NuTransportXS(TransportXS): + """A transport-corrected total multi-group cross section which + accounts for neutron multiplicity in scattering reactions.""" + + def __init__(self, domain=None, domain_type=None, + groups=None, by_nuclide=False, name=''): + super(NuTransportXS, self).__init__(domain, domain_type, + groups, by_nuclide, name) + self._rxn_type = 'nu-transport' + + @property + def scores(self): + return ['flux', 'total', 'nu-scatter-1'] + + @property + def tally_keys(self): + return ['flux', 'total', 'scatter-1'] + + class AbsorptionXS(MGXS): """An absorption multi-group cross section.""" @@ -1587,41 +1597,6 @@ class AbsorptionXS(MGXS): groups, by_nuclide, name) self._rxn_type = 'absorption' - @property - def tallies(self): - """Construct the OpenMC tallies needed to compute this cross section. - - This method constructs two tracklength tallies to compute the 'flux' - and 'absorption' reaction rates in the spatial domain and energy - groups of interest. - - """ - - # Instantiate tallies if they do not exist - if self._tallies is None: - - # Create a list of scores for each Tally to be created - scores = ['flux', 'absorption'] - estimator = 'tracklength' - keys = scores - - # Create the non-domain specific Filters for the Tallies - group_edges = self.energy_groups.group_edges - energy_filter = openmc.Filter('energy', group_edges) - filters = [[energy_filter], [energy_filter]] - - # Initialize the Tallies - self._create_tallies(scores, filters, keys, estimator) - - return self._tallies - - @property - def rxn_rate_tally(self): - if self._rxn_rate_tally is None: - self._rxn_rate_tally = self.tallies['absorption'] - self._rxn_rate_tally.sparse = self.sparse - return self._rxn_rate_tally - class CaptureXS(MGXS): """A capture multi-group cross section. @@ -1640,32 +1615,8 @@ class CaptureXS(MGXS): self._rxn_type = 'capture' @property - def tallies(self): - """Construct the OpenMC tallies needed to compute this cross section. - - This method constructs two tracklength tallies to compute the 'flux' - and 'capture' reaction rates in the spatial domain and energy - groups of interest. - - """ - - # Instantiate tallies if they do not exist - if self._tallies is None: - - # Create a list of scores for each Tally to be created - scores = ['flux', 'absorption', 'fission'] - estimator = 'tracklength' - keys = scores - - # Create the non-domain specific Filters for the Tallies - group_edges = self.energy_groups.group_edges - energy_filter = openmc.Filter('energy', group_edges) - filters = [[energy_filter], [energy_filter], [energy_filter]] - - # Initialize the Tallies - self._create_tallies(scores, filters, keys, estimator) - - return self._tallies + def scores(self): + return ['flux', 'absorption', 'fission'] @property def rxn_rate_tally(self): @@ -1675,80 +1626,36 @@ class CaptureXS(MGXS): self._rxn_rate_tally.sparse = self.sparse return self._rxn_rate_tally -class FissionXSBase(MGXS): - """A fission production multi-group cross section base class - for NuFission and KappaFission - """ - # This is an abstract class which cannot be instantiated - __metaclass__ = abc.ABCMeta - - def __init__(self, rxn_type, domain=None, domain_type=None, - groups=None, by_nuclide=False, name=''): - super(FissionXSBase, self).__init__(domain, domain_type, - groups, by_nuclide, name) - self._rxn_type = rxn_type - - @property - def tallies(self): - """Construct the OpenMC tallies needed to compute this cross section. - - This method constructs two tracklength tallies to compute the 'flux' - and 'rxn_type' reaction rates in the spatial domain and energy - groups of interest. - - """ - - # Instantiate tallies if they do not exist - if self._tallies is None: - - # Create a list of scores for each Tally to be created - scores = ['flux', self._rxn_type] - estimator = 'tracklength' - keys = scores - - # Create the non-domain specific Filters for the Tallies - group_edges = self.energy_groups.group_edges - energy_filter = openmc.Filter('energy', group_edges) - filters = [[energy_filter], [energy_filter]] - - # Initialize the Tallies - self._create_tallies(scores, filters, keys, estimator) - - return self._tallies - - @property - def rxn_rate_tally(self): - if self._rxn_rate_tally is None: - self._rxn_rate_tally = self.tallies[self._rxn_type] - self._rxn_rate_tally.sparse = self.sparse - return self._rxn_rate_tally - - -class FissionXS(FissionXSBase): +class FissionXS(MGXS): """A fission multi-group cross section.""" def __init__(self, domain=None, domain_type=None, groups=None, by_nuclide=False, name=''): - super(FissionXS, self).__init__('fission', domain, domain_type, + super(FissionXS, self).__init__(domain, domain_type, groups, by_nuclide, name) + self._rxn_type = 'fission' -class NuFissionXS(FissionXSBase): +class NuFissionXS(MGXS): """A fission production multi-group cross section.""" def __init__(self, domain=None, domain_type=None, groups=None, by_nuclide=False, name=''): - super(NuFissionXS, self).__init__('nu-fission', domain, domain_type, + super(NuFissionXS, self).__init__(domain, domain_type, groups, by_nuclide, name) + self._rxn_type = 'nu-fission' -class KappaFissionXS(FissionXSBase): + +class KappaFissionXS(MGXS): """A recoverable fission energy production rate multi-group cross section.""" def __init__(self, domain=None, domain_type=None, groups=None, by_nuclide=False, name=''): - super(KappaFissionXS, self).__init__('kappa-fission', domain, domain_type, + super(KappaFissionXS, self).__init__(domain, domain_type, groups, by_nuclide, name) + self._rxn_type = 'kappa-fission' + class ScatterXS(MGXS): """A scatter multi-group cross section.""" @@ -1759,41 +1666,6 @@ class ScatterXS(MGXS): groups, by_nuclide, name) self._rxn_type = 'scatter' - @property - def tallies(self): - """Construct the OpenMC tallies needed to compute this cross section. - - This method constructs two tracklength tallies to compute the 'flux' - and 'scatter' reaction rates in the spatial domain and energy - groups of interest. - - """ - - # Instantiate tallies if they do not exist - if self._tallies is None: - - # Create a list of scores for each Tally to be created - scores = ['flux', 'scatter'] - estimator = 'tracklength' - keys = scores - - # Create the non-domain specific Filters for the Tallies - group_edges = self.energy_groups.group_edges - energy_filter = openmc.Filter('energy', group_edges) - filters = [[energy_filter], [energy_filter]] - - # Intialize the Tallies - self._create_tallies(scores, filters, keys, estimator) - - return self._tallies - - @property - def rxn_rate_tally(self): - if self._rxn_rate_tally is None: - self._rxn_rate_tally = self.tallies['scatter'] - self._rxn_rate_tally.sparse = self.sparse - return self._rxn_rate_tally - class NuScatterXS(MGXS): """A nu-scatter multi-group cross section.""" @@ -1804,49 +1676,17 @@ class NuScatterXS(MGXS): groups, by_nuclide, name) self._rxn_type = 'nu-scatter' - @property - def tallies(self): - """Construct the OpenMC tallies needed to compute this cross section. - - This method constructs two analog tallies to compute the 'flux' - and 'nu-scatter' reaction rates in the spatial domain and energy - groups of interest. - - """ - - # Instantiate tallies if they do not exist - if self._tallies is None: - - # Create a list of scores for each Tally to be created - scores = ['flux', 'nu-scatter'] - estimator = 'analog' - keys = scores - - # Create the non-domain specific Filters for the Tallies - group_edges = self.energy_groups.group_edges - energy_filter = openmc.Filter('energy', group_edges) - filters = [[energy_filter], [energy_filter]] - - # Initialize the Tallies - self._create_tallies(scores, filters, keys, estimator) - - return self._tallies - - @property - def rxn_rate_tally(self): - if self._rxn_rate_tally is None: - self._rxn_rate_tally = self.tallies['nu-scatter'] - self._rxn_rate_tally.sparse = self.sparse - return self._rxn_rate_tally - class ScatterMatrixXS(MGXS): - """A scattering matrix multi-group cross section. + """A scattering matrix multi-group cross section for one or more Legendre + moments. Attributes ---------- correction : 'P0' or None Apply the P0 correction to scattering matrices if set to 'P0' + legendre_order : int + The highest legendre moment in the scattering matrix (default is 0) """ @@ -1854,12 +1694,15 @@ class ScatterMatrixXS(MGXS): groups=None, by_nuclide=False, name=''): super(ScatterMatrixXS, self).__init__(domain, domain_type, groups, by_nuclide, name) - self._rxn_type = 'scatter matrix' + self._rxn_type = 'scatter' self._correction = 'P0' + self._legendre_order = 0 + self._hdf5_key = 'scatter matrix' def __deepcopy__(self, memo): clone = super(ScatterMatrixXS, self).__deepcopy__(memo) clone._correction = self.correction + clone._legendre_order = self.legendre_order return clone @property @@ -1867,52 +1710,56 @@ class ScatterMatrixXS(MGXS): return self._correction @property - def tallies(self): - """Construct the OpenMC tallies needed to compute this cross section. + def legendre_order(self): + return self._legendre_order - This method constructs three analog tallies to compute the 'flux', - 'scatter' and 'scatter-P1' reaction rates in the spatial domain and - energy groups of interest. + @property + def scores(self): + scores = ['flux'] - """ + if self.correction == 'P0' and self.legendre_order == 0: + scores += ['{}-0'.format(self.rxn_type), + '{}-1'.format(self.rxn_type)] + else: + scores += ['{}-P{}'.format(self.rxn_type, self.legendre_order)] - # Instantiate tallies if they do not exist - if self._tallies is None: + return scores - group_edges = self.energy_groups.group_edges - energy = openmc.Filter('energy', group_edges) - energyout = openmc.Filter('energyout', group_edges) + @property + def filters(self): + group_edges = self.energy_groups.group_edges + energy = openmc.Filter('energy', group_edges) + energyout = openmc.Filter('energyout', group_edges) - # Create a list of scores for each Tally to be created - if self.correction == 'P0': - scores = ['flux', 'scatter', 'scatter-P1'] - filters = [[energy], [energy, energyout], [energyout]] - else: - scores = ['flux', 'scatter'] - filters = [[energy], [energy, energyout]] + if self.correction == 'P0' and self.legendre_order == 0: + filters = [[energy], [energy, energyout], [energyout]] + else: + filters = [[energy], [energy, energyout]] - estimator = 'analog' - keys = scores + return filters - # Initialize the Tallies - self._create_tallies(scores, filters, keys, estimator) - - return self._tallies + @property + def estimator(self): + return 'analog' @property def rxn_rate_tally(self): if self._rxn_rate_tally is None: - # If using P0 correction subtract scatter-P1 from the diagonal - if self.correction == 'P0': - scatter_p1 = self.tallies['scatter-P1'] - scatter_p1 = scatter_p1.get_slice(scores=['scatter-P1']) - energy_filter = self.tallies['scatter'].find_filter('energy') + + # If using P0 correction subtract scatter-1 from the diagonal + if self.correction == 'P0' and self.legendre_order == 0: + scatter_p0 = self.tallies['{}-0'.format(self.rxn_type)] + scatter_p1 = self.tallies['{}-1'.format(self.rxn_type)] + energy_filter = scatter_p0.find_filter('energy') energy_filter = copy.deepcopy(energy_filter) scatter_p1 = scatter_p1.diagonalize_filter(energy_filter) - self._rxn_rate_tally = self.tallies['scatter'] - scatter_p1 + self._rxn_rate_tally = scatter_p0 - scatter_p1 + + # Extract scattering moment reaction rate Tally else: - self._rxn_rate_tally = self.tallies['scatter'] + tally_key = '{}-P{}'.format(self.rxn_type, self.legendre_order) + self._rxn_rate_tally = self.tallies[tally_key] self._rxn_rate_tally.sparse = self.sparse @@ -1921,9 +1768,68 @@ class ScatterMatrixXS(MGXS): @correction.setter def correction(self, correction): cv.check_value('correction', correction, ('P0', None)) + + if correction == 'P0' and self.legendre_order > 0: + msg = 'The P0 correction will be ignored since the scattering ' \ + 'order {} is greater than zero'.format(self.legendre_order) + warnings.warn(msg) + self._correction = correction - def get_slice(self, nuclides=[], in_groups=[], out_groups=[]): + @legendre_order.setter + def legendre_order(self, legendre_order): + cv.check_type('legendre_order', legendre_order, Integral) + cv.check_greater_than('legendre_order', legendre_order, 0, equality=True) + cv.check_less_than('legendre_order', legendre_order, 10, equality=True) + + if self.correction == 'P0' and legendre_order > 0: + msg = 'The P0 correction will be ignored since the scattering ' \ + 'order {} is greater than zero'.format(self.legendre_order) + warnings.warn(msg, RuntimeWarning) + self.correction = None + + self._legendre_order = legendre_order + + def load_from_statepoint(self, statepoint): + """Extracts tallies in an OpenMC StatePoint with the data needed to + compute multi-group cross sections. + + This method is needed to compute cross section data from tallies + in an OpenMC StatePoint object. + + NOTE: The statepoint must first be linked with an OpenMC Summary object. + + Parameters + ---------- + statepoint : openmc.StatePoint + An OpenMC StatePoint object with tally data + + Raises + ------ + ValueError + When this method is called with a statepoint that has not been + linked with a summary object. + + """ + + # Clear any tallies previously loaded from a statepoint + if self.loaded_sp: + self._tallies = None + self._xs_tally = None + self._rxn_rate_tally = None + self._loaded_sp = False + + # Expand scores to match the format in the statepoint + # e.g., "scatter-P2" -> "scatter-0", "scatter-1", "scatter-2" + if self.correction != 'P0' or self.legendre_order != 0: + tally_key = '{}-P{}'.format(self.rxn_type, self.legendre_order) + self.tallies[tally_key].scores = \ + [self.rxn_type + '-{}'.format(i) for i in range(self.legendre_order+1)] + + super(ScatterMatrixXS, self).load_from_statepoint(statepoint) + + def get_slice(self, nuclides=[], in_groups=[], out_groups=[], + legendre_order='same'): """Build a sliced ScatterMatrix for the specified nuclides and energy groups. @@ -1943,6 +1849,12 @@ class ScatterMatrixXS(MGXS): out_groups : list of int A list of outgoing energy group indices starting at 1 for the high energies (e.g., [1, 2, 3]; default is []) + legendre_order : int or 'same' + The highest Legendre moment in the sliced MGXS. If order is 'same' + then the sliced MGXS will have the same Legendre moments as the + original MGXS (default). If order is an integer less than the + original MGXS' order, then only those Legendre moments up to that + order will be included in the sliced MGXS. Returns ------- @@ -1957,6 +1869,20 @@ class ScatterMatrixXS(MGXS): slice_xs._rxn_rate_tally = None slice_xs._xs_tally = None + # Slice the Legendre order if needed + if legendre_order != 'same': + cv.check_type('legendre_order', legendre_order, Integral) + cv.check_less_than('legendre_order', legendre_order, + self.legendre_order, equality=True) + slice_xs.legendre_order = legendre_order + + # Slice the scattering tally + tally_key = '{}-P{}'.format(self.rxn_type, self.legendre_order) + expand_scores = \ + [self.rxn_type + '-{}'.format(i) for i in range(self.legendre_order+1)] + slice_xs.tallies[tally_key] = \ + slice_xs.tallies[tally_key].get_slice(scores=expand_scores) + # Slice outgoing energy groups if needed if len(out_groups) != 0: filter_bins = [] @@ -1976,14 +1902,18 @@ class ScatterMatrixXS(MGXS): return slice_xs def get_xs(self, in_groups='all', out_groups='all', - subdomains='all', nuclides='all', xs_type='macro', - order_groups='increasing', row_column='inout', - value='mean', **kwargs): - """Returns an array of multi-group cross sections. + subdomains='all', nuclides='all', moment='all', + xs_type='macro', order_groups='increasing', + row_column='inout', value='mean', **kwargs): + r"""Returns an array of multi-group cross sections. This method constructs a 2D NumPy array for the requested scattering matrix data data for one or more energy groups and subdomains. + NOTE: The scattering moments are not multiplied by the :math:`(2l+1)/2` + prefactor in the expansion of the scattering source into Legendre + moments in the neutron transport equation. + Parameters ---------- in_groups : Iterable of Integral or 'all' @@ -1997,6 +1927,10 @@ class ScatterMatrixXS(MGXS): special string 'all' will return the cross sections for all nuclides in the spatial domain. The special string 'sum' will return the cross section summed over all nuclides. Defaults to 'all'. + moment : int or 'all' + The scattering matrix moment to return. All moments will be + returned if the moment is 'all' (default); otherwise, a specific + moment will be returned. xs_type: {'macro', 'micro'} Return the macro or micro cross section in units of cm^-1 or barns. Defaults to 'macro'. @@ -2053,6 +1987,16 @@ class ScatterMatrixXS(MGXS): filters.append('energyout') filter_bins.append((self.energy_groups.get_group_bounds(group),)) + # Construct CrossScore for requested scattering moment + if moment != 'all': + cv.check_type('moment', moment, Integral) + cv.check_greater_than('moment', moment, 0, equality=True) + cv.check_less_than( + 'moment', moment, self.legendre_order, equality=True) + scores = [self.xs_tally.scores[moment]] + else: + scores = [] + # Construct a collection of the nuclides to retrieve from the xs tally if self.by_nuclide: if nuclides == 'all' or nuclides == 'sum' or nuclides == ['sum']: @@ -2065,10 +2009,10 @@ class ScatterMatrixXS(MGXS): # Use tally summation if user requested the sum for all nuclides if nuclides == 'sum' or nuclides == ['sum']: xs_tally = self.xs_tally.summation(nuclides=query_nuclides) - xs = xs_tally.get_values(filters=filters, + xs = xs_tally.get_values(scores=scores, filters=filters, filter_bins=filter_bins, value=value) else: - xs = self.xs_tally.get_values(filters=filters, + xs = self.xs_tally.get_values(scores=scores, filters=filters, filter_bins=filter_bins, nuclides=query_nuclides, value=value) @@ -2114,7 +2058,77 @@ class ScatterMatrixXS(MGXS): return xs - def print_xs(self, subdomains='all', nuclides='all', xs_type='macro'): + def get_pandas_dataframe(self, groups='all', nuclides='all', moment='all', + xs_type='macro', distribcell_paths=True): + """Build a Pandas DataFrame for the MGXS data. + + This method leverages :meth:`openmc.Tally.get_pandas_dataframe`, but + renames the columns with terminology appropriate for cross section data. + + Parameters + ---------- + groups : Iterable of Integral or 'all' + Energy groups of interest. Defaults to 'all'. + nuclides : Iterable of str or 'all' or 'sum' + The nuclides of the cross-sections to include in the dataframe. This + may be a list of nuclide name strings (e.g., ['U-235', 'U-238']). + The special string 'all' will include the cross sections for all + nuclides in the spatial domain. The special string 'sum' will + include the cross sections summed over all nuclides. Defaults + to 'all'. + moment : int or 'all' + The scattering matrix moment to return. All moments will be + returned if the moment is 'all' (default); otherwise, a specific + moment will be returned. + xs_type: {'macro', 'micro'} + Return macro or micro cross section in units of cm^-1 or barns. + Defaults to 'macro'. + distribcell_paths : bool, optional + Construct columns for distribcell tally filters (default is True). + The geometric information in the Summary object is embedded into a + Multi-index column with a geometric "path" to each distribcell + instance. + + Returns + ------- + pandas.DataFrame + A Pandas DataFrame for the cross section data. + + Raises + ------ + ValueError + When this method is called before the multi-group cross section is + computed from tally data. + + """ + + df = super(ScatterMatrixXS, self).get_pandas_dataframe( + groups, nuclides, xs_type, distribcell_paths) + + # Add a moment column to dataframe + if self.legendre_order > 0: + # Insert a column corresponding to the Legendre moments + moments = ['P{}'.format(i) for i in range(self.legendre_order+1)] + moments = np.tile(moments, df.shape[0] / len(moments)) + df['moment'] = moments + + # Place the moment column before the mean column + mean_index = df.columns.get_loc('mean') + columns = df.columns.tolist() + df = df[columns[:mean_index] + ['moment'] + columns[mean_index:-1]] + + # Select rows corresponding to requested scattering moment + if moment != 'all': + cv.check_type('moment', moment, Integral) + cv.check_greater_than('moment', moment, 0, equality=True) + cv.check_less_than( + 'moment', moment, self.legendre_order, equality=True) + df = df[df['moment'] == 'P{}'.format(moment)] + + return df + + def print_xs(self, subdomains='all', nuclides='all', + xs_type='macro', moment=0): """Prints a string representation for the multi-group cross section. Parameters @@ -2131,6 +2145,8 @@ class ScatterMatrixXS(MGXS): xs_type: {'macro', 'micro'} Return the macro or micro cross section in units of cm^-1 or barns. Defaults to 'macro'. + moment : int + The scattering moment to print (default is 0) """ @@ -2155,9 +2171,14 @@ class ScatterMatrixXS(MGXS): cv.check_value('xs_type', xs_type, ['macro', 'micro']) + if self.correction != 'P0': + rxn_type= '{0} (P{1})'.format(self.rxn_type, moment) + else: + rxn_type = self.rxn_type + # Build header for string with type and domain info string = 'Multi-Group XS\n' - string += '{0: <16}=\t{1}\n'.format('\tReaction Type', self.rxn_type) + string += '{0: <16}=\t{1}\n'.format('\tReaction Type', rxn_type) string += '{0: <16}=\t{1}\n'.format('\tDomain Type', self.domain_type) string += '{0: <16}=\t{1}\n'.format('\tDomain ID', self.domain.id) @@ -2202,11 +2223,11 @@ class ScatterMatrixXS(MGXS): string += template.format('', in_group, out_group) average = \ self.get_xs([in_group], [out_group], - [subdomain], [nuclide], + [subdomain], [nuclide], moment=moment, xs_type=xs_type, value='mean') rel_err = \ self.get_xs([in_group], [out_group], - [subdomain], [nuclide], + [subdomain], [nuclide], moment=moment, xs_type=xs_type, value='rel_err') average = average.flatten()[0] rel_err = rel_err.flatten()[0] * 100. @@ -2226,42 +2247,9 @@ class NuScatterMatrixXS(ScatterMatrixXS): groups=None, by_nuclide=False, name=''): super(NuScatterMatrixXS, self).__init__(domain, domain_type, groups, by_nuclide, name) - self._rxn_type = 'nu-scatter matrix' + self._rxn_type = 'nu-scatter' + self._hdf5_key = 'nu-scatter matrix' - @property - def tallies(self): - """Construct the OpenMC tallies needed to compute this cross section. - - This method constructs three analog tallies to compute the 'flux', - 'nu-scatter' and 'scatter-P1' reaction rates in the spatial domain and - energy groups of interest. - - """ - - # Instantiate tallies if they do not exist - if self._tallies is None: - - # Create the non-domain specific Filters for the Tallies - group_edges = self.energy_groups.group_edges - energy = openmc.Filter('energy', group_edges) - energyout = openmc.Filter('energyout', group_edges) - - # Create a list of scores for each Tally to be created - if self.correction == 'P0': - scores = ['flux', 'nu-scatter', 'scatter-P1'] - estimator = 'analog' - keys = ['flux', 'scatter', 'scatter-P1'] - filters = [[energy], [energy, energyout], [energyout]] - else: - scores = ['flux', 'nu-scatter'] - estimator = 'analog' - keys = ['flux', 'scatter'] - filters = [[energy], [energy, energyout]] - - # Intialize the Tallies - self._create_tallies(scores, filters, keys, estimator) - - return self._tallies class Chi(MGXS): """The fission spectrum.""" @@ -2272,33 +2260,24 @@ class Chi(MGXS): self._rxn_type = 'chi' @property - def tallies(self): - """Construct the OpenMC tallies needed to compute this cross section. + def scores(self): + return ['nu-fission', 'nu-fission'] - This method constructs two analog tallies to compute 'nu-fission' - reaction rates with 'energy' and 'energyout' filters in the spatial - domain and energy groups of interest. + @property + def filters(self): + # Create the non-domain specific Filters for the Tallies + group_edges = self.energy_groups.group_edges + energyout = openmc.Filter('energyout', group_edges) + energyin = openmc.Filter('energy', [group_edges[0], group_edges[-1]]) + return [[energyin], [energyout]] - """ + @property + def tally_keys(self): + return ['nu-fission-in', 'nu-fission-out'] - # Instantiate tallies if they do not exist - if self._tallies is None: - - # Create a list of scores for each Tally to be created - scores = ['nu-fission', 'nu-fission'] - estimator = 'analog' - keys = ['nu-fission-in', 'nu-fission-out'] - - # Create the non-domain specific Filters for the Tallies - group_edges = self.energy_groups.group_edges - energyout = openmc.Filter('energyout', group_edges) - energyin = openmc.Filter('energy', [group_edges[0], group_edges[-1]]) - filters = [[energyin], [energyout]] - - # Intialize the Tallies - self._create_tallies(scores, filters, keys, estimator) - - return self._tallies + @property + def estimator(self): + return 'analog' @property def rxn_rate_tally(self): diff --git a/openmc/statepoint.py b/openmc/statepoint.py index 19aa3dbaf..d5dd7bc1e 100644 --- a/openmc/statepoint.py +++ b/openmc/statepoint.py @@ -1,6 +1,8 @@ import sys import re import os +import warnings + import numpy as np import openmc diff --git a/openmc/tallies.py b/openmc/tallies.py index 96323763a..9559adcad 100644 --- a/openmc/tallies.py +++ b/openmc/tallies.py @@ -1629,7 +1629,7 @@ class Tally(object): for score in self.scores: if isinstance(score, (basestring, CrossScore)): - scores.append(score) + scores.append(str(score)) elif isinstance(score, AggregateScore): scores.append(score.name) column_name = '{0}(score)'.format(score.aggregate_op) diff --git a/src/input_xml.F90 b/src/input_xml.F90 index 22eff595c..5a4bc8429 100644 --- a/src/input_xml.F90 +++ b/src/input_xml.F90 @@ -3359,28 +3359,14 @@ contains end if case ('scatter-n') - if (n_order == 0) then - t % score_bins(j) = SCORE_SCATTER - else - t % score_bins(j) = SCORE_SCATTER_N - ! Set tally estimator to analog - t % estimator = ESTIMATOR_ANALOG - end if + t % score_bins(j) = SCORE_SCATTER_N t % moment_order(j) = n_order + t % estimator = ESTIMATOR_ANALOG case ('nu-scatter-n') - if (n_order == 0) then - t % score_bins(j) = SCORE_NU_SCATTER - else - t % score_bins(j) = SCORE_NU_SCATTER_N - ! Set tally estimator to analog for CE mode - ! (MG mode has all data available without a collision being - ! necessary) - if (run_CE) then - t % estimator = ESTIMATOR_ANALOG - end if - end if + t % score_bins(j) = SCORE_NU_SCATTER_N t % moment_order(j) = n_order + t % estimator = ESTIMATOR_ANALOG case ('scatter-pn') t % estimator = ESTIMATOR_ANALOG diff --git a/src/state_point.F90 b/src/state_point.F90 index 0006d3042..f37950134 100644 --- a/src/state_point.F90 +++ b/src/state_point.F90 @@ -334,11 +334,11 @@ contains MOMENT_LOOP: do j = 1, tally % n_user_score_bins select case(tally % score_bins(k)) case (SCORE_SCATTER_N, SCORE_NU_SCATTER_N) - str_array(k) = 'P' // trim(to_str(tally % moment_order(k))) + str_array(k) = trim(to_str(tally % moment_order(k))) k = k + 1 case (SCORE_SCATTER_PN, SCORE_NU_SCATTER_PN) do n_order = 0, tally % moment_order(k) - str_array(k) = 'P' // trim(to_str(n_order)) + str_array(k) = trim(to_str(n_order)) k = k + 1 end do case (SCORE_SCATTER_YN, SCORE_NU_SCATTER_YN, SCORE_FLUX_YN, & diff --git a/tests/test_mgxs_library_condense/inputs_true.dat b/tests/test_mgxs_library_condense/inputs_true.dat index 51fc95c60..3643c9a2e 100644 --- a/tests/test_mgxs_library_condense/inputs_true.dat +++ b/tests/test_mgxs_library_condense/inputs_true.dat @@ -1 +1 @@ -3e7b4ee62e0a53b92d4241f33493786532934f20ebcf47d92825bb1ee2f67c52aa8e7832cf28a9911221f802da205fba2b23c7228899780089da69e21042743c \ No newline at end of file +104e7fb527770ac5d3fc636da7716e8fb05d55761253d30516c899f466e6b38ffd881611a3d0cdf65c6af058c32f6f6758c68782be7a170d21024bdae751862f \ No newline at end of file diff --git a/tests/test_mgxs_library_condense/results_true.dat b/tests/test_mgxs_library_condense/results_true.dat index 438215372..184be68bf 100644 --- a/tests/test_mgxs_library_condense/results_true.dat +++ b/tests/test_mgxs_library_condense/results_true.dat @@ -1,49 +1,85 @@ material group in nuclide mean std. dev. 0 1 1 total 0.412084 0.02359 material group in nuclide mean std. dev. -0 1 1 total 0.076425 0.003691 material group in group out nuclide mean std. dev. -0 1 1 1 total 0.345643 0.021487 material group out nuclide mean std. dev. +0 1 1 total 0.076425 0.003691 material group in group out nuclide moment mean std. dev. +0 1 1 1 total P0 0.384780 0.022253 +1 1 1 1 total P1 0.039277 0.004308 +2 1 1 1 total P2 0.017574 0.002402 +3 1 1 1 total P3 0.012203 0.002164 material group out nuclide mean std. dev. 0 1 1 total 1.0 0.055333 material group in nuclide mean std. dev. 0 2 1 total 0.241262 0.00841 material group in nuclide mean std. dev. -0 2 1 total 0.0 0.0 material group in group out nuclide mean std. dev. -0 2 1 1 total 0.241262 0.00841 material group out nuclide mean std. dev. +0 2 1 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +0 2 1 1 total P0 0.272369 0.006872 +1 2 1 1 total P1 0.031107 0.005483 +2 2 1 1 total P2 0.025999 0.006151 +3 2 1 1 total P3 0.003219 0.003312 material group out nuclide mean std. dev. 0 2 1 total 0.0 0.0 material group in nuclide mean std. dev. 0 3 1 total 0.400028 0.034667 material group in nuclide mean std. dev. -0 3 1 total 0.0 0.0 material group in group out nuclide mean std. dev. -0 3 1 1 total 0.393462 0.033646 material group out nuclide mean std. dev. +0 3 1 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +0 3 1 1 total P0 0.794999 0.036548 +1 3 1 1 total P1 0.401537 0.016175 +2 3 1 1 total P2 0.143623 0.008719 +3 3 1 1 total P3 0.001991 0.004433 material group out nuclide mean std. dev. 0 3 1 total 0.0 0.0 material group in nuclide mean std. dev. 0 4 1 total 0.377402 0.072937 material group in nuclide mean std. dev. -0 4 1 total 0.0 0.0 material group in group out nuclide mean std. dev. -0 4 1 1 total 0.371473 0.071226 material group out nuclide mean std. dev. +0 4 1 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +0 4 1 1 total P0 0.727311 0.080096 +1 4 1 1 total P1 0.355839 0.037901 +2 4 1 1 total P2 0.124483 0.015823 +3 4 1 1 total P3 0.012168 0.006224 material group out nuclide mean std. dev. 0 4 1 total 0.0 0.0 material group in nuclide mean std. dev. 0 5 1 total 0.0 0.0 material group in nuclide mean std. dev. -0 5 1 total 0.0 0.0 material group in group out nuclide mean std. dev. -0 5 1 1 total 0.0 0.0 material group out nuclide mean std. dev. +0 5 1 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +0 5 1 1 total P0 0.0 0.0 +1 5 1 1 total P1 0.0 0.0 +2 5 1 1 total P2 0.0 0.0 +3 5 1 1 total P3 0.0 0.0 material group out nuclide mean std. dev. 0 5 1 total 0.0 0.0 material group in nuclide mean std. dev. 0 6 1 total 0.0 0.0 material group in nuclide mean std. dev. -0 6 1 total 0.0 0.0 material group in group out nuclide mean std. dev. -0 6 1 1 total 0.0 0.0 material group out nuclide mean std. dev. +0 6 1 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +0 6 1 1 total P0 0.0 0.0 +1 6 1 1 total P1 0.0 0.0 +2 6 1 1 total P2 0.0 0.0 +3 6 1 1 total P3 0.0 0.0 material group out nuclide mean std. dev. 0 6 1 total 0.0 0.0 material group in nuclide mean std. dev. 0 7 1 total 0.0 0.0 material group in nuclide mean std. dev. -0 7 1 total 0.0 0.0 material group in group out nuclide mean std. dev. -0 7 1 1 total 0.0 0.0 material group out nuclide mean std. dev. +0 7 1 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +0 7 1 1 total P0 0.0 0.0 +1 7 1 1 total P1 0.0 0.0 +2 7 1 1 total P2 0.0 0.0 +3 7 1 1 total P3 0.0 0.0 material group out nuclide mean std. dev. 0 7 1 total 0.0 0.0 material group in nuclide mean std. dev. 0 8 1 total 0.0 0.0 material group in nuclide mean std. dev. -0 8 1 total 0.0 0.0 material group in group out nuclide mean std. dev. -0 8 1 1 total 0.0 0.0 material group out nuclide mean std. dev. +0 8 1 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +0 8 1 1 total P0 0.0 0.0 +1 8 1 1 total P1 0.0 0.0 +2 8 1 1 total P2 0.0 0.0 +3 8 1 1 total P3 0.0 0.0 material group out nuclide mean std. dev. 0 8 1 total 0.0 0.0 material group in nuclide mean std. dev. 0 9 1 total 0.600536 0.748875 material group in nuclide mean std. dev. -0 9 1 total 0.0 0.0 material group in group out nuclide mean std. dev. -0 9 1 1 total 0.600536 0.748875 material group out nuclide mean std. dev. +0 9 1 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +0 9 1 1 total P0 0.720380 0.771015 +1 9 1 1 total P1 0.119844 0.184691 +2 9 1 1 total P2 0.038522 0.064485 +3 9 1 1 total P3 0.056023 0.050595 material group out nuclide mean std. dev. 0 9 1 total 0.0 0.0 material group in nuclide mean std. dev. 0 10 1 total 0.235515 0.613974 material group in nuclide mean std. dev. -0 10 1 total 0.0 0.0 material group in group out nuclide mean std. dev. -0 10 1 1 total 0.235515 0.613974 material group out nuclide mean std. dev. +0 10 1 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +0 10 1 1 total P0 0.501009 0.708534 +1 10 1 1 total P1 0.265494 0.375465 +2 10 1 1 total P2 0.141979 0.200788 +3 10 1 1 total P3 0.074258 0.105017 material group out nuclide mean std. dev. 0 10 1 total 0.0 0.0 material group in nuclide mean std. dev. 0 11 1 total 0.510145 0.741941 material group in nuclide mean std. dev. -0 11 1 total 0.0 0.0 material group in group out nuclide mean std. dev. -0 11 1 1 total 0.491857 0.715554 material group out nuclide mean std. dev. +0 11 1 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +0 11 1 1 total P0 0.804661 0.817658 +1 11 1 1 total P1 0.312803 0.315315 +2 11 1 1 total P2 0.168113 0.172935 +3 11 1 1 total P3 0.003808 0.037911 material group out nuclide mean std. dev. 0 11 1 total 0.0 0.0 material group in nuclide mean std. dev. 0 12 1 total 0.73836 0.825631 material group in nuclide mean std. dev. -0 12 1 total 0.0 0.0 material group in group out nuclide mean std. dev. -0 12 1 1 total 0.723265 0.808231 material group out nuclide mean std. dev. +0 12 1 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +0 12 1 1 total P0 0.943429 0.856119 +1 12 1 1 total P1 0.220164 0.163180 +2 12 1 1 total P2 0.052884 0.042440 +3 12 1 1 total P3 0.039939 0.032867 material group out nuclide mean std. dev. 0 12 1 total 0.0 0.0 \ No newline at end of file diff --git a/tests/test_mgxs_library_condense/test_mgxs_library_condense.py b/tests/test_mgxs_library_condense/test_mgxs_library_condense.py index 3ca98904f..561232b22 100644 --- a/tests/test_mgxs_library_condense/test_mgxs_library_condense.py +++ b/tests/test_mgxs_library_condense/test_mgxs_library_condense.py @@ -28,6 +28,7 @@ class MGXSTestHarness(PyAPITestHarness): self.mgxs_lib.mgxs_types = ['transport', 'nu-fission', 'nu-scatter matrix', 'chi'] self.mgxs_lib.energy_groups = energy_groups + self.mgxs_lib.legendre_order = 3 self.mgxs_lib.domain_type = 'material' self.mgxs_lib.build_library() diff --git a/tests/test_mgxs_library_distribcell/inputs_true.dat b/tests/test_mgxs_library_distribcell/inputs_true.dat index 78ffa3faf..21927c800 100644 --- a/tests/test_mgxs_library_distribcell/inputs_true.dat +++ b/tests/test_mgxs_library_distribcell/inputs_true.dat @@ -1 +1 @@ -2c078f650fed5fc241f42b2d7404fb7fae59d782102fad66b4cd2c8a4b1f266d64e8ce1ec0556117c2a2b1fe49aa583f340dc43df3ddc9320557aa97bb554c05 \ No newline at end of file +018bbbc2099f7b94180b391e46e42fc9a82498c60b3f8f7f4c91480ea373427932d287fe571d53b2397f329e71485e7155d7644f0f995bbcb458ba3e872ab043 \ No newline at end of file diff --git a/tests/test_mgxs_library_distribcell/results_true.dat b/tests/test_mgxs_library_distribcell/results_true.dat index 0d5c7c7b4..fa55249d1 100644 --- a/tests/test_mgxs_library_distribcell/results_true.dat +++ b/tests/test_mgxs_library_distribcell/results_true.dat @@ -1,5 +1,8 @@ avg(distribcell) group in nuclide mean std. dev. 0 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 1 total 0.718919 0.520644 avg(distribcell) group in nuclide mean std. dev. -0 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 1 total 0.0 0.0 avg(distribcell) group in group out nuclide mean std. dev. -0 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 1 1 total 0.695166 0.510606 avg(distribcell) group out nuclide mean std. dev. +0 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 1 total 0.0 0.0 avg(distribcell) group in group out nuclide moment mean std. dev. +0 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 1 1 total P0 1.142547 0.570131 +1 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 1 1 total P1 0.447381 0.216322 +2 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 1 1 total P2 0.141202 0.066504 +3 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 1 1 total P3 0.039228 0.024621 avg(distribcell) group out nuclide mean std. dev. 0 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 1 total 0.0 0.0 \ No newline at end of file diff --git a/tests/test_mgxs_library_distribcell/test_mgxs_library_distribcell.py b/tests/test_mgxs_library_distribcell/test_mgxs_library_distribcell.py index d488e8ec9..32f5ea1bd 100644 --- a/tests/test_mgxs_library_distribcell/test_mgxs_library_distribcell.py +++ b/tests/test_mgxs_library_distribcell/test_mgxs_library_distribcell.py @@ -29,6 +29,7 @@ class MGXSTestHarness(PyAPITestHarness): self.mgxs_lib.mgxs_types = ['transport', 'nu-fission', 'nu-scatter matrix', 'chi'] self.mgxs_lib.energy_groups = energy_groups + self.mgxs_lib.legendre_order = 3 self.mgxs_lib.domain_type = 'distribcell' material_cells = self.mgxs_lib.openmc_geometry.get_all_material_cells() self.mgxs_lib.domains = [material_cells[-1]] diff --git a/tests/test_mgxs_library_hdf5/inputs_true.dat b/tests/test_mgxs_library_hdf5/inputs_true.dat index 51fc95c60..3643c9a2e 100644 --- a/tests/test_mgxs_library_hdf5/inputs_true.dat +++ b/tests/test_mgxs_library_hdf5/inputs_true.dat @@ -1 +1 @@ -3e7b4ee62e0a53b92d4241f33493786532934f20ebcf47d92825bb1ee2f67c52aa8e7832cf28a9911221f802da205fba2b23c7228899780089da69e21042743c \ No newline at end of file +104e7fb527770ac5d3fc636da7716e8fb05d55761253d30516c899f466e6b38ffd881611a3d0cdf65c6af058c32f6f6758c68782be7a170d21024bdae751862f \ No newline at end of file diff --git a/tests/test_mgxs_library_hdf5/results_true.dat b/tests/test_mgxs_library_hdf5/results_true.dat index e19b9ffa5..3cae57747 100644 --- a/tests/test_mgxs_library_hdf5/results_true.dat +++ b/tests/test_mgxs_library_hdf5/results_true.dat @@ -5,10 +5,16 @@ domain=1 type=nu-fission [ 0.02178897 0.71407658] [ 0.00118187 0.04055185] domain=1 type=nu-scatter matrix -[[ 0.3373971 0.00155945] - [ 0. 0.42205129]] -[[ 0.02303884 0.00051015] - [ 0. 0.02161702]] +[[[ 3.81546297e-01 4.43012537e-02 2.06462886e-02 1.36952959e-02] + [ 1.55945353e-03 -5.97269486e-04 -2.38789528e-04 1.75508083e-04]] + + [[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00] + [ 4.03915981e-01 -1.13103276e-02 -1.48065932e-02 -6.85505346e-03]]] +[[[ 0.02403322 0.00472203 0.00253903 0.00222437] + [ 0.00051015 0.00022485 0.00022157 0.00020939]] + + [[ 0. 0. 0. 0. ] + [ 0.01896646 0.00783919 0.00862908 0.00904704]]] domain=1 type=chi [ 1. 0.] [ 0.05533329 0. ] @@ -19,10 +25,16 @@ domain=2 type=nu-fission [ 0. 0.] [ 0. 0.] domain=2 type=nu-scatter matrix -[[ 0.23725441 0. ] - [ 0. 0.28593027]] -[[ 0.00818357 0. ] - [ 0. 0.04879593]] +[[[ 0.27311543 0.03586102 0.02970389 0.00224892] + [ 0. 0. 0. 0. ]] + + [[ 0. 0. 0. 0. ] + [ 0.26405068 -0.02187959 -0.01529469 0.01403395]]] +[[[ 0.00625287 0.00587756 0.00664018 0.00337568] + [ 0. 0. 0. 0. ]] + + [[ 0. 0. 0. 0. ] + [ 0.04539742 0.01221814 0.01027609 0.01431818]]] domain=2 type=chi [ 0. 0.] [ 0. 0.] @@ -33,10 +45,16 @@ domain=3 type=nu-fission [ 0. 0.] [ 0. 0.] domain=3 type=nu-scatter matrix -[[ 0.25993686 0.02618721] - [ 0. 1.35952132]] -[[ 0.02611466 0.00166461] - [ 0. 0.2585046 ]] +[[[ 0.64334557 0.38340871 0.15218526 0.00303724] + [ 0.02618721 0.00736219 -0.00273849 -0.00271989]] + + [[ 0. 0. 0. 0. ] + [ 1.92421362 0.4984312 0.09120485 0.01705441]]] +[[[ 0.02837604 0.01644677 0.00957372 0.00464802] + [ 0.00166461 0.00093414 0.00075617 0.00055807]] + + [[ 0. 0. 0. 0. ] + [ 0.28406198 0.06342067 0.01372628 0.01391602]]] domain=3 type=chi [ 0. 0.] [ 0. 0.] @@ -47,10 +65,16 @@ domain=4 type=nu-fission [ 0. 0.] [ 0. 0.] domain=4 type=nu-scatter matrix -[[ 0.2179296 0.023662 ] - [ 0. 1.21507398]] -[[ 0.0585649 0.00308328] - [ 0. 0.3810251 ]] +[[[ 0.54394096 0.32601136 0.13113269 0.01210477] + [ 0.023662 0.00752551 -0.00272975 -0.0031405 ]] + + [[ 0. 0. 0. 0. ] + [ 1.76464845 0.50069481 0.09902596 0.03297543]]] +[[[ 0.06542705 0.03860196 0.0174751 0.00607268] + [ 0.00308328 0.00130111 0.00084112 0.00057761]] + + [[ 0. 0. 0. 0. ] + [ 0.41620952 0.12217802 0.03871874 0.02510259]]] domain=4 type=chi [ 0. 0.] [ 0. 0.] @@ -61,10 +85,16 @@ domain=5 type=nu-fission [ 0. 0.] [ 0. 0.] domain=5 type=nu-scatter matrix -[[ 0. 0.] - [ 0. 0.]] -[[ 0. 0.] - [ 0. 0.]] +[[[ 0. 0. 0. 0.] + [ 0. 0. 0. 0.]] + + [[ 0. 0. 0. 0.] + [ 0. 0. 0. 0.]]] +[[[ 0. 0. 0. 0.] + [ 0. 0. 0. 0.]] + + [[ 0. 0. 0. 0.] + [ 0. 0. 0. 0.]]] domain=5 type=chi [ 0. 0.] [ 0. 0.] @@ -75,10 +105,16 @@ domain=6 type=nu-fission [ 0. 0.] [ 0. 0.] domain=6 type=nu-scatter matrix -[[ 0. 0.] - [ 0. 0.]] -[[ 0. 0.] - [ 0. 0.]] +[[[ 0. 0. 0. 0.] + [ 0. 0. 0. 0.]] + + [[ 0. 0. 0. 0.] + [ 0. 0. 0. 0.]]] +[[[ 0. 0. 0. 0.] + [ 0. 0. 0. 0.]] + + [[ 0. 0. 0. 0.] + [ 0. 0. 0. 0.]]] domain=6 type=chi [ 0. 0.] [ 0. 0.] @@ -89,10 +125,16 @@ domain=7 type=nu-fission [ 0. 0.] [ 0. 0.] domain=7 type=nu-scatter matrix -[[ 0. 0.] - [ 0. 0.]] -[[ 0. 0.] - [ 0. 0.]] +[[[ 0. 0. 0. 0.] + [ 0. 0. 0. 0.]] + + [[ 0. 0. 0. 0.] + [ 0. 0. 0. 0.]]] +[[[ 0. 0. 0. 0.] + [ 0. 0. 0. 0.]] + + [[ 0. 0. 0. 0.] + [ 0. 0. 0. 0.]]] domain=7 type=chi [ 0. 0.] [ 0. 0.] @@ -103,10 +145,16 @@ domain=8 type=nu-fission [ 0. 0.] [ 0. 0.] domain=8 type=nu-scatter matrix -[[ 0. 0.] - [ 0. 0.]] -[[ 0. 0.] - [ 0. 0.]] +[[[ 0. 0. 0. 0.] + [ 0. 0. 0. 0.]] + + [[ 0. 0. 0. 0.] + [ 0. 0. 0. 0.]]] +[[[ 0. 0. 0. 0.] + [ 0. 0. 0. 0.]] + + [[ 0. 0. 0. 0.] + [ 0. 0. 0. 0.]]] domain=8 type=chi [ 0. 0.] [ 0. 0.] @@ -117,10 +165,16 @@ domain=9 type=nu-fission [ 0. 0.] [ 0. 0.] domain=9 type=nu-scatter matrix -[[ 0.60053598 0. ] - [ 0. 0. ]] -[[ 0.74887543 0. ] - [ 0. 0. ]] +[[[ 0.72037987 0.11984389 0.03852204 0.05602285] + [ 0. 0. 0. 0. ]] + + [[ 0. 0. 0. 0. ] + [ 0. 0. 0. 0. ]]] +[[[ 0.77101455 0.18469083 0.06448453 0.05059534] + [ 0. 0. 0. 0. ]] + + [[ 0. 0. 0. 0. ] + [ 0. 0. 0. 0. ]]] domain=9 type=chi [ 0. 0.] [ 0. 0.] @@ -131,10 +185,16 @@ domain=10 type=nu-fission [ 0. 0.] [ 0. 0.] domain=10 type=nu-scatter matrix -[[ 0.23551495 0. ] - [ 0. 0. ]] -[[ 0.61397415 0. ] - [ 0. 0. ]] +[[[ 0.50100891 0.26549396 0.14197875 0.07425836] + [ 0. 0. 0. 0. ]] + + [[ 0. 0. 0. 0. ] + [ 0. 0. 0. 0. ]]] +[[[ 0.70853359 0.37546516 0.20078827 0.10501718] + [ 0. 0. 0. 0. ]] + + [[ 0. 0. 0. 0. ] + [ 0. 0. 0. 0. ]]] domain=10 type=chi [ 0. 0.] [ 0. 0.] @@ -145,10 +205,16 @@ domain=11 type=nu-fission [ 0. 0.] [ 0. 0.] domain=11 type=nu-scatter matrix -[[ 0.15444875 0.03187517] - [ 0. 0.90308451]] -[[ 0.59768579 0.0450783 ] - [ 0. 1.53214394]] +[[[ 0.47812753 0.32367878 0.14337507 0.05400336] + [ 0.03187517 0.00858456 -0.01246962 -0.01132019]] + + [[ 0. 0. 0. 0. ] + [ 1.20124973 0.28661101 0.21819147 -0.04851424]]] +[[[ 0.67617444 0.45775092 0.20276296 0.07637229] + [ 0.0450783 0.0121404 0.01763471 0.01600917]] + + [[ 0. 0. 0. 0. ] + [ 1.69882367 0.40532917 0.30856933 0.0686095 ]]] domain=11 type=chi [ 0. 0.] [ 0. 0.] @@ -159,10 +225,16 @@ domain=12 type=nu-fission [ 0. 0.] [ 0. 0.] domain=12 type=nu-scatter matrix -[[ 0.18605249 0.02723959] - [ 0. 1.35711799]] -[[ 0.25763254 0.02955488] - [ 0. 2.08984614]] +[[[ 0.40859392 0.22254143 0.0909719 0.03100368] + [ 0.02723959 -0.01008785 -0.00694631 0.00969231]] + + [[ 0. 0. 0. 0. ] + [ 1.57432766 0.22974802 0.01417839 0.03899727]]] +[[[ 0.27812309 0.14577636 0.06962553 0.03598053] + [ 0.02955488 0.01094529 0.00753673 0.01051613]] + + [[ 0. 0. 0. 0. ] + [ 2.22643553 0.32491277 0.02005128 0.05515046]]] domain=12 type=chi [ 0. 0.] [ 0. 0.] diff --git a/tests/test_mgxs_library_hdf5/test_mgxs_library_hdf5.py b/tests/test_mgxs_library_hdf5/test_mgxs_library_hdf5.py index 91bb036e3..2d7ed2ef3 100644 --- a/tests/test_mgxs_library_hdf5/test_mgxs_library_hdf5.py +++ b/tests/test_mgxs_library_hdf5/test_mgxs_library_hdf5.py @@ -29,6 +29,7 @@ class MGXSTestHarness(PyAPITestHarness): self.mgxs_lib.mgxs_types = ['transport', 'nu-fission', 'nu-scatter matrix', 'chi'] self.mgxs_lib.energy_groups = energy_groups + self.mgxs_lib.legendre_order = 3 self.mgxs_lib.domain_type = 'material' self.mgxs_lib.build_library() diff --git a/tests/test_mgxs_library_no_nuclides/inputs_true.dat b/tests/test_mgxs_library_no_nuclides/inputs_true.dat index 51fc95c60..3643c9a2e 100644 --- a/tests/test_mgxs_library_no_nuclides/inputs_true.dat +++ b/tests/test_mgxs_library_no_nuclides/inputs_true.dat @@ -1 +1 @@ -3e7b4ee62e0a53b92d4241f33493786532934f20ebcf47d92825bb1ee2f67c52aa8e7832cf28a9911221f802da205fba2b23c7228899780089da69e21042743c \ No newline at end of file +104e7fb527770ac5d3fc636da7716e8fb05d55761253d30516c899f466e6b38ffd881611a3d0cdf65c6af058c32f6f6758c68782be7a170d21024bdae751862f \ No newline at end of file diff --git a/tests/test_mgxs_library_no_nuclides/results_true.dat b/tests/test_mgxs_library_no_nuclides/results_true.dat index 442b8ac7b..94150a202 100644 --- a/tests/test_mgxs_library_no_nuclides/results_true.dat +++ b/tests/test_mgxs_library_no_nuclides/results_true.dat @@ -2,120 +2,264 @@ 1 1 1 total 0.372745 0.024269 0 1 2 total 0.861607 0.032349 material group in nuclide mean std. dev. 1 1 1 total 0.021789 0.001182 -0 1 2 total 0.714077 0.040552 material group in group out nuclide mean std. dev. -3 1 1 1 total 0.337397 0.023039 -2 1 1 2 total 0.001559 0.000510 -1 1 2 1 total 0.000000 0.000000 -0 1 2 2 total 0.422051 0.021617 material group out nuclide mean std. dev. +0 1 2 total 0.714077 0.040552 material group in group out nuclide moment mean std. dev. +12 1 1 1 total P0 0.381546 0.024033 +13 1 1 1 total P1 0.044301 0.004722 +14 1 1 1 total P2 0.020646 0.002539 +15 1 1 1 total P3 0.013695 0.002224 +8 1 1 2 total P0 0.001559 0.000510 +9 1 1 2 total P1 -0.000597 0.000225 +10 1 1 2 total P2 -0.000239 0.000222 +11 1 1 2 total P3 0.000176 0.000209 +4 1 2 1 total P0 0.000000 0.000000 +5 1 2 1 total P1 0.000000 0.000000 +6 1 2 1 total P2 0.000000 0.000000 +7 1 2 1 total P3 0.000000 0.000000 +0 1 2 2 total P0 0.403916 0.018966 +1 1 2 2 total P1 -0.011310 0.007839 +2 1 2 2 total P2 -0.014807 0.008629 +3 1 2 2 total P3 -0.006855 0.009047 material group out nuclide mean std. dev. 1 1 1 total 1.0 0.055333 0 1 2 total 0.0 0.000000 material group in nuclide mean std. dev. 1 2 1 total 0.237254 0.008184 0 2 2 total 0.285930 0.048796 material group in nuclide mean std. dev. 1 2 1 total 0.0 0.0 -0 2 2 total 0.0 0.0 material group in group out nuclide mean std. dev. -3 2 1 1 total 0.237254 0.008184 -2 2 1 2 total 0.000000 0.000000 -1 2 2 1 total 0.000000 0.000000 -0 2 2 2 total 0.285930 0.048796 material group out nuclide mean std. dev. +0 2 2 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +12 2 1 1 total P0 0.273115 0.006253 +13 2 1 1 total P1 0.035861 0.005878 +14 2 1 1 total P2 0.029704 0.006640 +15 2 1 1 total P3 0.002249 0.003376 +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 0.264051 0.045397 +1 2 2 2 total P1 -0.021880 0.012218 +2 2 2 2 total P2 -0.015295 0.010276 +3 2 2 2 total P3 0.014034 0.014318 material group out nuclide mean std. dev. 1 2 1 total 0.0 0.0 0 2 2 total 0.0 0.0 material group in nuclide mean std. dev. 1 3 1 total 0.286906 0.027401 0 3 2 total 1.418151 0.265308 material group in nuclide mean std. dev. 1 3 1 total 0.0 0.0 -0 3 2 total 0.0 0.0 material group in group out nuclide mean std. dev. -3 3 1 1 total 0.259937 0.026115 -2 3 1 2 total 0.026187 0.001665 -1 3 2 1 total 0.000000 0.000000 -0 3 2 2 total 1.359521 0.258505 material group out nuclide mean std. dev. +0 3 2 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +12 3 1 1 total P0 0.643346 0.028376 +13 3 1 1 total P1 0.383409 0.016447 +14 3 1 1 total P2 0.152185 0.009574 +15 3 1 1 total P3 0.003037 0.004648 +8 3 1 2 total P0 0.026187 0.001665 +9 3 1 2 total P1 0.007362 0.000934 +10 3 1 2 total P2 -0.002738 0.000756 +11 3 1 2 total P3 -0.002720 0.000558 +4 3 2 1 total P0 0.000000 0.000000 +5 3 2 1 total P1 0.000000 0.000000 +6 3 2 1 total P2 0.000000 0.000000 +7 3 2 1 total P3 0.000000 0.000000 +0 3 2 2 total P0 1.924214 0.284062 +1 3 2 2 total P1 0.498431 0.063421 +2 3 2 2 total P2 0.091205 0.013726 +3 3 2 2 total P3 0.017054 0.013916 material group out nuclide mean std. dev. 1 3 1 total 0.0 0.0 0 3 2 total 0.0 0.0 material group in nuclide mean std. dev. 1 4 1 total 0.242447 0.061031 0 4 2 total 1.253959 0.388363 material group in nuclide mean std. dev. 1 4 1 total 0.0 0.0 -0 4 2 total 0.0 0.0 material group in group out nuclide mean std. dev. -3 4 1 1 total 0.217930 0.058565 -2 4 1 2 total 0.023662 0.003083 -1 4 2 1 total 0.000000 0.000000 -0 4 2 2 total 1.215074 0.381025 material group out nuclide mean std. dev. +0 4 2 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +12 4 1 1 total P0 0.543941 0.065427 +13 4 1 1 total P1 0.326011 0.038602 +14 4 1 1 total P2 0.131133 0.017475 +15 4 1 1 total P3 0.012105 0.006073 +8 4 1 2 total P0 0.023662 0.003083 +9 4 1 2 total P1 0.007526 0.001301 +10 4 1 2 total P2 -0.002730 0.000841 +11 4 1 2 total P3 -0.003140 0.000578 +4 4 2 1 total P0 0.000000 0.000000 +5 4 2 1 total P1 0.000000 0.000000 +6 4 2 1 total P2 0.000000 0.000000 +7 4 2 1 total P3 0.000000 0.000000 +0 4 2 2 total P0 1.764648 0.416210 +1 4 2 2 total P1 0.500695 0.122178 +2 4 2 2 total P2 0.099026 0.038719 +3 4 2 2 total P3 0.032975 0.025103 material group out nuclide mean std. dev. 1 4 1 total 0.0 0.0 0 4 2 total 0.0 0.0 material group in nuclide mean std. dev. 1 5 1 total 0.0 0.0 0 5 2 total 0.0 0.0 material group in nuclide mean std. dev. 1 5 1 total 0.0 0.0 -0 5 2 total 0.0 0.0 material group in group out nuclide mean std. dev. -3 5 1 1 total 0.0 0.0 -2 5 1 2 total 0.0 0.0 -1 5 2 1 total 0.0 0.0 -0 5 2 2 total 0.0 0.0 material group out nuclide mean std. dev. +0 5 2 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +12 5 1 1 total P0 0.0 0.0 +13 5 1 1 total P1 0.0 0.0 +14 5 1 1 total P2 0.0 0.0 +15 5 1 1 total P3 0.0 0.0 +8 5 1 2 total P0 0.0 0.0 +9 5 1 2 total P1 0.0 0.0 +10 5 1 2 total P2 0.0 0.0 +11 5 1 2 total P3 0.0 0.0 +4 5 2 1 total P0 0.0 0.0 +5 5 2 1 total P1 0.0 0.0 +6 5 2 1 total P2 0.0 0.0 +7 5 2 1 total P3 0.0 0.0 +0 5 2 2 total P0 0.0 0.0 +1 5 2 2 total P1 0.0 0.0 +2 5 2 2 total P2 0.0 0.0 +3 5 2 2 total P3 0.0 0.0 material group out nuclide mean std. dev. 1 5 1 total 0.0 0.0 0 5 2 total 0.0 0.0 material group in nuclide mean std. dev. 1 6 1 total 0.0 0.0 0 6 2 total 0.0 0.0 material group in nuclide mean std. dev. 1 6 1 total 0.0 0.0 -0 6 2 total 0.0 0.0 material group in group out nuclide mean std. dev. -3 6 1 1 total 0.0 0.0 -2 6 1 2 total 0.0 0.0 -1 6 2 1 total 0.0 0.0 -0 6 2 2 total 0.0 0.0 material group out nuclide mean std. dev. +0 6 2 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +12 6 1 1 total P0 0.0 0.0 +13 6 1 1 total P1 0.0 0.0 +14 6 1 1 total P2 0.0 0.0 +15 6 1 1 total P3 0.0 0.0 +8 6 1 2 total P0 0.0 0.0 +9 6 1 2 total P1 0.0 0.0 +10 6 1 2 total P2 0.0 0.0 +11 6 1 2 total P3 0.0 0.0 +4 6 2 1 total P0 0.0 0.0 +5 6 2 1 total P1 0.0 0.0 +6 6 2 1 total P2 0.0 0.0 +7 6 2 1 total P3 0.0 0.0 +0 6 2 2 total P0 0.0 0.0 +1 6 2 2 total P1 0.0 0.0 +2 6 2 2 total P2 0.0 0.0 +3 6 2 2 total P3 0.0 0.0 material group out nuclide mean std. dev. 1 6 1 total 0.0 0.0 0 6 2 total 0.0 0.0 material group in nuclide mean std. dev. 1 7 1 total 0.0 0.0 0 7 2 total 0.0 0.0 material group in nuclide mean std. dev. 1 7 1 total 0.0 0.0 -0 7 2 total 0.0 0.0 material group in group out nuclide mean std. dev. -3 7 1 1 total 0.0 0.0 -2 7 1 2 total 0.0 0.0 -1 7 2 1 total 0.0 0.0 -0 7 2 2 total 0.0 0.0 material group out nuclide mean std. dev. +0 7 2 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +12 7 1 1 total P0 0.0 0.0 +13 7 1 1 total P1 0.0 0.0 +14 7 1 1 total P2 0.0 0.0 +15 7 1 1 total P3 0.0 0.0 +8 7 1 2 total P0 0.0 0.0 +9 7 1 2 total P1 0.0 0.0 +10 7 1 2 total P2 0.0 0.0 +11 7 1 2 total P3 0.0 0.0 +4 7 2 1 total P0 0.0 0.0 +5 7 2 1 total P1 0.0 0.0 +6 7 2 1 total P2 0.0 0.0 +7 7 2 1 total P3 0.0 0.0 +0 7 2 2 total P0 0.0 0.0 +1 7 2 2 total P1 0.0 0.0 +2 7 2 2 total P2 0.0 0.0 +3 7 2 2 total P3 0.0 0.0 material group out nuclide mean std. dev. 1 7 1 total 0.0 0.0 0 7 2 total 0.0 0.0 material group in nuclide mean std. dev. 1 8 1 total 0.0 0.0 0 8 2 total 0.0 0.0 material group in nuclide mean std. dev. 1 8 1 total 0.0 0.0 -0 8 2 total 0.0 0.0 material group in group out nuclide mean std. dev. -3 8 1 1 total 0.0 0.0 -2 8 1 2 total 0.0 0.0 -1 8 2 1 total 0.0 0.0 -0 8 2 2 total 0.0 0.0 material group out nuclide mean std. dev. +0 8 2 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +12 8 1 1 total P0 0.0 0.0 +13 8 1 1 total P1 0.0 0.0 +14 8 1 1 total P2 0.0 0.0 +15 8 1 1 total P3 0.0 0.0 +8 8 1 2 total P0 0.0 0.0 +9 8 1 2 total P1 0.0 0.0 +10 8 1 2 total P2 0.0 0.0 +11 8 1 2 total P3 0.0 0.0 +4 8 2 1 total P0 0.0 0.0 +5 8 2 1 total P1 0.0 0.0 +6 8 2 1 total P2 0.0 0.0 +7 8 2 1 total P3 0.0 0.0 +0 8 2 2 total P0 0.0 0.0 +1 8 2 2 total P1 0.0 0.0 +2 8 2 2 total P2 0.0 0.0 +3 8 2 2 total P3 0.0 0.0 material group out nuclide mean std. dev. 1 8 1 total 0.0 0.0 0 8 2 total 0.0 0.0 material group in nuclide mean std. dev. 1 9 1 total 0.600536 0.748875 0 9 2 total 0.000000 0.000000 material group in nuclide mean std. dev. 1 9 1 total 0.0 0.0 -0 9 2 total 0.0 0.0 material group in group out nuclide mean std. dev. -3 9 1 1 total 0.600536 0.748875 -2 9 1 2 total 0.000000 0.000000 -1 9 2 1 total 0.000000 0.000000 -0 9 2 2 total 0.000000 0.000000 material group out nuclide mean std. dev. +0 9 2 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +12 9 1 1 total P0 0.720380 0.771015 +13 9 1 1 total P1 0.119844 0.184691 +14 9 1 1 total P2 0.038522 0.064485 +15 9 1 1 total P3 0.056023 0.050595 +8 9 1 2 total P0 0.000000 0.000000 +9 9 1 2 total P1 0.000000 0.000000 +10 9 1 2 total P2 0.000000 0.000000 +11 9 1 2 total P3 0.000000 0.000000 +4 9 2 1 total P0 0.000000 0.000000 +5 9 2 1 total P1 0.000000 0.000000 +6 9 2 1 total P2 0.000000 0.000000 +7 9 2 1 total P3 0.000000 0.000000 +0 9 2 2 total P0 0.000000 0.000000 +1 9 2 2 total P1 0.000000 0.000000 +2 9 2 2 total P2 0.000000 0.000000 +3 9 2 2 total P3 0.000000 0.000000 material group out nuclide mean std. dev. 1 9 1 total 0.0 0.0 0 9 2 total 0.0 0.0 material group in nuclide mean std. dev. 1 10 1 total 0.235515 0.613974 0 10 2 total 0.000000 0.000000 material group in nuclide mean std. dev. 1 10 1 total 0.0 0.0 -0 10 2 total 0.0 0.0 material group in group out nuclide mean std. dev. -3 10 1 1 total 0.235515 0.613974 -2 10 1 2 total 0.000000 0.000000 -1 10 2 1 total 0.000000 0.000000 -0 10 2 2 total 0.000000 0.000000 material group out nuclide mean std. dev. +0 10 2 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +12 10 1 1 total P0 0.501009 0.708534 +13 10 1 1 total P1 0.265494 0.375465 +14 10 1 1 total P2 0.141979 0.200788 +15 10 1 1 total P3 0.074258 0.105017 +8 10 1 2 total P0 0.000000 0.000000 +9 10 1 2 total P1 0.000000 0.000000 +10 10 1 2 total P2 0.000000 0.000000 +11 10 1 2 total P3 0.000000 0.000000 +4 10 2 1 total P0 0.000000 0.000000 +5 10 2 1 total P1 0.000000 0.000000 +6 10 2 1 total P2 0.000000 0.000000 +7 10 2 1 total P3 0.000000 0.000000 +0 10 2 2 total P0 0.000000 0.000000 +1 10 2 2 total P1 0.000000 0.000000 +2 10 2 2 total P2 0.000000 0.000000 +3 10 2 2 total P3 0.000000 0.000000 material group out nuclide mean std. dev. 1 10 1 total 0.0 0.0 0 10 2 total 0.0 0.0 material group in nuclide mean std. dev. 1 11 1 total 0.186324 0.632129 0 11 2 total 0.945986 1.591133 material group in nuclide mean std. dev. 1 11 1 total 0.0 0.0 -0 11 2 total 0.0 0.0 material group in group out nuclide mean std. dev. -3 11 1 1 total 0.154449 0.597686 -2 11 1 2 total 0.031875 0.045078 -1 11 2 1 total 0.000000 0.000000 -0 11 2 2 total 0.903085 1.532144 material group out nuclide mean std. dev. +0 11 2 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +12 11 1 1 total P0 0.478128 0.676174 +13 11 1 1 total P1 0.323679 0.457751 +14 11 1 1 total P2 0.143375 0.202763 +15 11 1 1 total P3 0.054003 0.076372 +8 11 1 2 total P0 0.031875 0.045078 +9 11 1 2 total P1 0.008585 0.012140 +10 11 1 2 total P2 -0.012470 0.017635 +11 11 1 2 total P3 -0.011320 0.016009 +4 11 2 1 total P0 0.000000 0.000000 +5 11 2 1 total P1 0.000000 0.000000 +6 11 2 1 total P2 0.000000 0.000000 +7 11 2 1 total P3 0.000000 0.000000 +0 11 2 2 total P0 1.201250 1.698824 +1 11 2 2 total P1 0.286611 0.405329 +2 11 2 2 total P2 0.218191 0.308569 +3 11 2 2 total P3 -0.048514 0.068609 material group out nuclide mean std. dev. 1 11 1 total 0.0 0.0 0 11 2 total 0.0 0.0 material group in nuclide mean std. dev. 1 12 1 total 0.213292 0.271444 0 12 2 total 1.390975 2.137346 material group in nuclide mean std. dev. 1 12 1 total 0.0 0.0 -0 12 2 total 0.0 0.0 material group in group out nuclide mean std. dev. -3 12 1 1 total 0.186052 0.257633 -2 12 1 2 total 0.027240 0.029555 -1 12 2 1 total 0.000000 0.000000 -0 12 2 2 total 1.357118 2.089846 material group out nuclide mean std. dev. +0 12 2 total 0.0 0.0 material group in group out nuclide moment mean std. dev. +12 12 1 1 total P0 0.408594 0.278123 +13 12 1 1 total P1 0.222541 0.145776 +14 12 1 1 total P2 0.090972 0.069626 +15 12 1 1 total P3 0.031004 0.035981 +8 12 1 2 total P0 0.027240 0.029555 +9 12 1 2 total P1 -0.010088 0.010945 +10 12 1 2 total P2 -0.006946 0.007537 +11 12 1 2 total P3 0.009692 0.010516 +4 12 2 1 total P0 0.000000 0.000000 +5 12 2 1 total P1 0.000000 0.000000 +6 12 2 1 total P2 0.000000 0.000000 +7 12 2 1 total P3 0.000000 0.000000 +0 12 2 2 total P0 1.574328 2.226436 +1 12 2 2 total P1 0.229748 0.324913 +2 12 2 2 total P2 0.014178 0.020051 +3 12 2 2 total P3 0.038997 0.055150 material group out nuclide mean std. dev. 1 12 1 total 0.0 0.0 0 12 2 total 0.0 0.0 \ No newline at end of file diff --git a/tests/test_mgxs_library_no_nuclides/test_mgxs_library_no_nuclides.py b/tests/test_mgxs_library_no_nuclides/test_mgxs_library_no_nuclides.py index 15f90cb87..6ee8813d0 100644 --- a/tests/test_mgxs_library_no_nuclides/test_mgxs_library_no_nuclides.py +++ b/tests/test_mgxs_library_no_nuclides/test_mgxs_library_no_nuclides.py @@ -28,6 +28,7 @@ class MGXSTestHarness(PyAPITestHarness): self.mgxs_lib.mgxs_types = ['transport', 'nu-fission', 'nu-scatter matrix', 'chi'] self.mgxs_lib.energy_groups = energy_groups + self.mgxs_lib.legendre_order = 3 self.mgxs_lib.domain_type = 'material' self.mgxs_lib.build_library() diff --git a/tests/test_mgxs_library_nuclides/inputs_true.dat b/tests/test_mgxs_library_nuclides/inputs_true.dat index 9436f03a0..9e25fe96a 100644 --- a/tests/test_mgxs_library_nuclides/inputs_true.dat +++ b/tests/test_mgxs_library_nuclides/inputs_true.dat @@ -1 +1 @@ -b035f783fa75ada619b0a58675913e318fef94e519c85cae6982f650d7655cb130f625572fde2058e005b490359180cb9d1e1095f5d35d41c9a0f8ff6e0dc3c1 \ No newline at end of file +791a2bd647b8bae03aafc39e29ff1ce1ffc44063b0d757ccba4e1eda6eb73b8a275020f4f5774b17dede49fbf15549787279c8b2fc45caba0097155b32e56fa8 \ No newline at end of file diff --git a/tests/test_mgxs_library_nuclides/results_true.dat b/tests/test_mgxs_library_nuclides/results_true.dat index 145521964..06f838206 100644 --- a/tests/test_mgxs_library_nuclides/results_true.dat +++ b/tests/test_mgxs_library_nuclides/results_true.dat @@ -1,1971 +1 @@ - material group in nuclide mean std. dev. -34 1 1 U-234 0.000173 0.000173 -35 1 1 U-235 0.010677 0.001889 -36 1 1 U-236 0.002390 0.001055 -37 1 1 U-238 0.213680 0.013272 -38 1 1 Np-237 0.000000 0.000000 -39 1 1 Pu-238 0.000000 0.000000 -40 1 1 Pu-239 0.002911 0.000639 -41 1 1 Pu-240 0.004426 0.000806 -42 1 1 Pu-241 0.000690 0.000387 -43 1 1 Pu-242 0.000000 0.000000 -44 1 1 Am-241 0.000173 0.000173 -45 1 1 Am-242m 0.000000 0.000000 -46 1 1 Am-243 0.000000 0.000000 -47 1 1 Cm-242 0.000000 0.000000 -48 1 1 Cm-243 0.000000 0.000000 -49 1 1 Cm-244 0.000000 0.000000 -50 1 1 Cm-245 0.000000 0.000000 -51 1 1 Mo-95 0.000000 0.000000 -52 1 1 Tc-99 0.000173 0.000173 -53 1 1 Ru-101 0.000238 0.000254 -54 1 1 Ru-103 0.000002 0.000243 -55 1 1 Ag-109 0.000000 0.000000 -56 1 1 Xe-135 0.000000 0.000000 -57 1 1 Cs-133 0.000347 0.000213 -58 1 1 Nd-143 0.000447 0.000292 -59 1 1 Nd-145 0.000564 0.000294 -60 1 1 Sm-147 0.000000 0.000000 -61 1 1 Sm-149 0.000000 0.000000 -62 1 1 Sm-150 0.000472 0.000239 -63 1 1 Sm-151 0.000000 0.000000 -64 1 1 Sm-152 0.000492 0.000352 -65 1 1 Eu-153 0.000173 0.000173 -66 1 1 Gd-155 0.000000 0.000000 -67 1 1 O-16 0.134715 0.009801 -0 1 2 U-234 0.000000 0.000000 -1 1 2 U-235 0.199907 0.007776 -2 1 2 U-236 0.001501 0.002037 -3 1 2 U-238 0.255355 0.029743 -4 1 2 Np-237 0.000000 0.000000 -5 1 2 Pu-238 0.000000 0.000000 -6 1 2 Pu-239 0.160378 0.011366 -7 1 2 Pu-240 0.007920 0.003710 -8 1 2 Pu-241 0.017820 0.003733 -9 1 2 Pu-242 0.000000 0.000000 -10 1 2 Am-241 0.000000 0.000000 -11 1 2 Am-242m 0.000000 0.000000 -12 1 2 Am-243 0.000000 0.000000 -13 1 2 Cm-242 0.000000 0.000000 -14 1 2 Cm-243 0.000000 0.000000 -15 1 2 Cm-244 0.000000 0.000000 -16 1 2 Cm-245 0.000000 0.000000 -17 1 2 Mo-95 0.000000 0.000000 -18 1 2 Tc-99 0.000000 0.000000 -19 1 2 Ru-101 0.000000 0.000000 -20 1 2 Ru-103 0.000000 0.000000 -21 1 2 Ag-109 0.000000 0.000000 -22 1 2 Xe-135 0.013860 0.003976 -23 1 2 Cs-133 0.000000 0.000000 -24 1 2 Nd-143 0.003960 0.002427 -25 1 2 Nd-145 0.000000 0.000000 -26 1 2 Sm-147 0.000000 0.000000 -27 1 2 Sm-149 0.001980 0.001981 -28 1 2 Sm-150 0.000000 0.000000 -29 1 2 Sm-151 0.001980 0.001981 -30 1 2 Sm-152 0.000000 0.000000 -31 1 2 Eu-153 0.000000 0.000000 -32 1 2 Gd-155 0.000000 0.000000 -33 1 2 O-16 0.196946 0.014729 material group in nuclide mean std. dev. -34 1 1 U-234 7.274440e-06 4.419477e-07 -35 1 1 U-235 9.587803e-03 5.936922e-04 -36 1 1 U-236 7.566099e-05 7.523935e-06 -37 1 1 U-238 7.178367e-03 6.505680e-04 -38 1 1 Np-237 1.315682e-05 8.036501e-07 -39 1 1 Pu-238 7.746151e-06 3.992835e-07 -40 1 1 Pu-239 3.805294e-03 3.637600e-04 -41 1 1 Pu-240 6.941319e-05 4.729737e-06 -42 1 1 Pu-241 1.033844e-03 9.083913e-05 -43 1 1 Pu-242 5.995332e-06 3.821721e-07 -44 1 1 Am-241 1.148585e-06 8.271648e-08 -45 1 1 Am-242m 1.100215e-06 6.159956e-08 -46 1 1 Am-243 8.323826e-07 5.841792e-08 -47 1 1 Cm-242 5.088970e-07 5.258007e-08 -48 1 1 Cm-243 2.245435e-07 1.459025e-08 -49 1 1 Cm-244 2.993206e-07 2.746129e-08 -50 1 1 Cm-245 3.063611e-07 3.057751e-08 -51 1 1 Mo-95 0.000000e+00 0.000000e+00 -52 1 1 Tc-99 0.000000e+00 0.000000e+00 -53 1 1 Ru-101 0.000000e+00 0.000000e+00 -54 1 1 Ru-103 0.000000e+00 0.000000e+00 -55 1 1 Ag-109 0.000000e+00 0.000000e+00 -56 1 1 Xe-135 0.000000e+00 0.000000e+00 -57 1 1 Cs-133 0.000000e+00 0.000000e+00 -58 1 1 Nd-143 0.000000e+00 0.000000e+00 -59 1 1 Nd-145 0.000000e+00 0.000000e+00 -60 1 1 Sm-147 0.000000e+00 0.000000e+00 -61 1 1 Sm-149 0.000000e+00 0.000000e+00 -62 1 1 Sm-150 0.000000e+00 0.000000e+00 -63 1 1 Sm-151 0.000000e+00 0.000000e+00 -64 1 1 Sm-152 0.000000e+00 0.000000e+00 -65 1 1 Eu-153 0.000000e+00 0.000000e+00 -66 1 1 Gd-155 0.000000e+00 0.000000e+00 -67 1 1 O-16 0.000000e+00 0.000000e+00 -0 1 2 U-234 4.408576e-07 2.828309e-08 -1 1 2 U-235 3.768094e-01 2.445671e-02 -2 1 2 U-236 6.097538e-06 3.733038e-07 -3 1 2 U-238 5.353074e-07 3.310544e-08 -4 1 2 Np-237 2.702971e-07 2.098939e-08 -5 1 2 Pu-238 3.463109e-05 2.638394e-06 -6 1 2 Pu-239 2.889643e-01 1.376004e-02 -7 1 2 Pu-240 4.533642e-06 2.544289e-07 -8 1 2 Pu-241 4.809366e-02 2.778345e-03 -9 1 2 Pu-242 8.715325e-08 5.460893e-09 -10 1 2 Am-241 4.611736e-06 2.155039e-07 -11 1 2 Am-242m 1.428047e-04 8.436437e-06 -12 1 2 Am-243 7.883895e-08 4.734503e-09 -13 1 2 Cm-242 9.731025e-07 6.143750e-08 -14 1 2 Cm-243 1.825830e-06 1.074849e-07 -15 1 2 Cm-244 1.581823e-07 9.938064e-09 -16 1 2 Cm-245 1.213386e-05 8.812019e-07 -17 1 2 Mo-95 0.000000e+00 0.000000e+00 -18 1 2 Tc-99 0.000000e+00 0.000000e+00 -19 1 2 Ru-101 0.000000e+00 0.000000e+00 -20 1 2 Ru-103 0.000000e+00 0.000000e+00 -21 1 2 Ag-109 0.000000e+00 0.000000e+00 -22 1 2 Xe-135 0.000000e+00 0.000000e+00 -23 1 2 Cs-133 0.000000e+00 0.000000e+00 -24 1 2 Nd-143 0.000000e+00 0.000000e+00 -25 1 2 Nd-145 0.000000e+00 0.000000e+00 -26 1 2 Sm-147 0.000000e+00 0.000000e+00 -27 1 2 Sm-149 0.000000e+00 0.000000e+00 -28 1 2 Sm-150 0.000000e+00 0.000000e+00 -29 1 2 Sm-151 0.000000e+00 0.000000e+00 -30 1 2 Sm-152 0.000000e+00 0.000000e+00 -31 1 2 Eu-153 0.000000e+00 0.000000e+00 -32 1 2 Gd-155 0.000000e+00 0.000000e+00 -33 1 2 O-16 0.000000e+00 0.000000e+00 material group in group out nuclide mean std. dev. -102 1 1 1 U-234 0.000000 0.000000 -103 1 1 1 U-235 0.003226 0.001139 -104 1 1 1 U-236 0.001697 0.000923 -105 1 1 1 U-238 0.194620 0.013297 -106 1 1 1 Np-237 0.000000 0.000000 -107 1 1 1 Pu-238 0.000000 0.000000 -108 1 1 1 Pu-239 0.001005 0.000477 -109 1 1 1 Pu-240 0.001307 0.000295 -110 1 1 1 Pu-241 0.000344 0.000244 -111 1 1 1 Pu-242 0.000000 0.000000 -112 1 1 1 Am-241 0.000000 0.000000 -113 1 1 1 Am-242m 0.000000 0.000000 -114 1 1 1 Am-243 0.000000 0.000000 -115 1 1 1 Cm-242 0.000000 0.000000 -116 1 1 1 Cm-243 0.000000 0.000000 -117 1 1 1 Cm-244 0.000000 0.000000 -118 1 1 1 Cm-245 0.000000 0.000000 -119 1 1 1 Mo-95 0.000000 0.000000 -120 1 1 1 Tc-99 0.000000 0.000000 -121 1 1 1 Ru-101 0.000238 0.000254 -122 1 1 1 Ru-103 0.000002 0.000243 -123 1 1 1 Ag-109 0.000000 0.000000 -124 1 1 1 Xe-135 0.000000 0.000000 -125 1 1 1 Cs-133 0.000000 0.000000 -126 1 1 1 Nd-143 0.000447 0.000292 -127 1 1 1 Nd-145 0.000564 0.000294 -128 1 1 1 Sm-147 0.000000 0.000000 -129 1 1 1 Sm-149 0.000000 0.000000 -130 1 1 1 Sm-150 0.000299 0.000238 -131 1 1 1 Sm-151 0.000000 0.000000 -132 1 1 1 Sm-152 0.000492 0.000352 -133 1 1 1 Eu-153 0.000000 0.000000 -134 1 1 1 Gd-155 0.000000 0.000000 -135 1 1 1 O-16 0.133156 0.009821 -68 1 1 2 U-234 0.000000 0.000000 -69 1 1 2 U-235 0.000000 0.000000 -70 1 1 2 U-236 0.000000 0.000000 -71 1 1 2 U-238 0.000173 0.000173 -72 1 1 2 Np-237 0.000000 0.000000 -73 1 1 2 Pu-238 0.000000 0.000000 -74 1 1 2 Pu-239 0.000000 0.000000 -75 1 1 2 Pu-240 0.000000 0.000000 -76 1 1 2 Pu-241 0.000000 0.000000 -77 1 1 2 Pu-242 0.000000 0.000000 -78 1 1 2 Am-241 0.000000 0.000000 -79 1 1 2 Am-242m 0.000000 0.000000 -80 1 1 2 Am-243 0.000000 0.000000 -81 1 1 2 Cm-242 0.000000 0.000000 -82 1 1 2 Cm-243 0.000000 0.000000 -83 1 1 2 Cm-244 0.000000 0.000000 -84 1 1 2 Cm-245 0.000000 0.000000 -85 1 1 2 Mo-95 0.000000 0.000000 -86 1 1 2 Tc-99 0.000000 0.000000 -87 1 1 2 Ru-101 0.000000 0.000000 -88 1 1 2 Ru-103 0.000000 0.000000 -89 1 1 2 Ag-109 0.000000 0.000000 -90 1 1 2 Xe-135 0.000000 0.000000 -91 1 1 2 Cs-133 0.000000 0.000000 -92 1 1 2 Nd-143 0.000000 0.000000 -93 1 1 2 Nd-145 0.000000 0.000000 -94 1 1 2 Sm-147 0.000000 0.000000 -95 1 1 2 Sm-149 0.000000 0.000000 -96 1 1 2 Sm-150 0.000000 0.000000 -97 1 1 2 Sm-151 0.000000 0.000000 -98 1 1 2 Sm-152 0.000000 0.000000 -99 1 1 2 Eu-153 0.000000 0.000000 -100 1 1 2 Gd-155 0.000000 0.000000 -101 1 1 2 O-16 0.001386 0.000446 -34 1 2 1 U-234 0.000000 0.000000 -35 1 2 1 U-235 0.000000 0.000000 -36 1 2 1 U-236 0.000000 0.000000 -37 1 2 1 U-238 0.000000 0.000000 -38 1 2 1 Np-237 0.000000 0.000000 -39 1 2 1 Pu-238 0.000000 0.000000 -40 1 2 1 Pu-239 0.000000 0.000000 -41 1 2 1 Pu-240 0.000000 0.000000 -42 1 2 1 Pu-241 0.000000 0.000000 -43 1 2 1 Pu-242 0.000000 0.000000 -44 1 2 1 Am-241 0.000000 0.000000 -45 1 2 1 Am-242m 0.000000 0.000000 -46 1 2 1 Am-243 0.000000 0.000000 -47 1 2 1 Cm-242 0.000000 0.000000 -48 1 2 1 Cm-243 0.000000 0.000000 -49 1 2 1 Cm-244 0.000000 0.000000 -50 1 2 1 Cm-245 0.000000 0.000000 -51 1 2 1 Mo-95 0.000000 0.000000 -52 1 2 1 Tc-99 0.000000 0.000000 -53 1 2 1 Ru-101 0.000000 0.000000 -54 1 2 1 Ru-103 0.000000 0.000000 -55 1 2 1 Ag-109 0.000000 0.000000 -56 1 2 1 Xe-135 0.000000 0.000000 -57 1 2 1 Cs-133 0.000000 0.000000 -58 1 2 1 Nd-143 0.000000 0.000000 -59 1 2 1 Nd-145 0.000000 0.000000 -60 1 2 1 Sm-147 0.000000 0.000000 -61 1 2 1 Sm-149 0.000000 0.000000 -62 1 2 1 Sm-150 0.000000 0.000000 -63 1 2 1 Sm-151 0.000000 0.000000 -64 1 2 1 Sm-152 0.000000 0.000000 -65 1 2 1 Eu-153 0.000000 0.000000 -66 1 2 1 Gd-155 0.000000 0.000000 -67 1 2 1 O-16 0.000000 0.000000 -0 1 2 2 U-234 0.000000 0.000000 -1 1 2 2 U-235 0.003889 0.003962 -2 1 2 2 U-236 0.001501 0.002037 -3 1 2 2 U-238 0.219715 0.025984 -4 1 2 2 Np-237 0.000000 0.000000 -5 1 2 2 Pu-238 0.000000 0.000000 -6 1 2 2 Pu-239 0.000000 0.000000 -7 1 2 2 Pu-240 0.000000 0.000000 -8 1 2 2 Pu-241 0.000000 0.000000 -9 1 2 2 Pu-242 0.000000 0.000000 -10 1 2 2 Am-241 0.000000 0.000000 -11 1 2 2 Am-242m 0.000000 0.000000 -12 1 2 2 Am-243 0.000000 0.000000 -13 1 2 2 Cm-242 0.000000 0.000000 -14 1 2 2 Cm-243 0.000000 0.000000 -15 1 2 2 Cm-244 0.000000 0.000000 -16 1 2 2 Cm-245 0.000000 0.000000 -17 1 2 2 Mo-95 0.000000 0.000000 -18 1 2 2 Tc-99 0.000000 0.000000 -19 1 2 2 Ru-101 0.000000 0.000000 -20 1 2 2 Ru-103 0.000000 0.000000 -21 1 2 2 Ag-109 0.000000 0.000000 -22 1 2 2 Xe-135 0.000000 0.000000 -23 1 2 2 Cs-133 0.000000 0.000000 -24 1 2 2 Nd-143 0.000000 0.000000 -25 1 2 2 Nd-145 0.000000 0.000000 -26 1 2 2 Sm-147 0.000000 0.000000 -27 1 2 2 Sm-149 0.000000 0.000000 -28 1 2 2 Sm-150 0.000000 0.000000 -29 1 2 2 Sm-151 0.000000 0.000000 -30 1 2 2 Sm-152 0.000000 0.000000 -31 1 2 2 Eu-153 0.000000 0.000000 -32 1 2 2 Gd-155 0.000000 0.000000 -33 1 2 2 O-16 0.196946 0.014729 material group out nuclide mean std. dev. -34 1 1 U-234 0.0 0.000000 -35 1 1 U-235 1.0 0.066362 -36 1 1 U-236 0.0 0.000000 -37 1 1 U-238 1.0 0.093082 -38 1 1 Np-237 0.0 0.000000 -39 1 1 Pu-238 0.0 0.000000 -40 1 1 Pu-239 1.0 0.104567 -41 1 1 Pu-240 0.0 0.000000 -42 1 1 Pu-241 1.0 0.263696 -43 1 1 Pu-242 0.0 0.000000 -44 1 1 Am-241 0.0 0.000000 -45 1 1 Am-242m 0.0 0.000000 -46 1 1 Am-243 0.0 0.000000 -47 1 1 Cm-242 0.0 0.000000 -48 1 1 Cm-243 0.0 0.000000 -49 1 1 Cm-244 0.0 0.000000 -50 1 1 Cm-245 0.0 0.000000 -51 1 1 Mo-95 0.0 0.000000 -52 1 1 Tc-99 0.0 0.000000 -53 1 1 Ru-101 0.0 0.000000 -54 1 1 Ru-103 0.0 0.000000 -55 1 1 Ag-109 0.0 0.000000 -56 1 1 Xe-135 0.0 0.000000 -57 1 1 Cs-133 0.0 0.000000 -58 1 1 Nd-143 0.0 0.000000 -59 1 1 Nd-145 0.0 0.000000 -60 1 1 Sm-147 0.0 0.000000 -61 1 1 Sm-149 0.0 0.000000 -62 1 1 Sm-150 0.0 0.000000 -63 1 1 Sm-151 0.0 0.000000 -64 1 1 Sm-152 0.0 0.000000 -65 1 1 Eu-153 0.0 0.000000 -66 1 1 Gd-155 0.0 0.000000 -67 1 1 O-16 0.0 0.000000 -0 1 2 U-234 0.0 0.000000 -1 1 2 U-235 0.0 0.000000 -2 1 2 U-236 0.0 0.000000 -3 1 2 U-238 0.0 0.000000 -4 1 2 Np-237 0.0 0.000000 -5 1 2 Pu-238 0.0 0.000000 -6 1 2 Pu-239 0.0 0.000000 -7 1 2 Pu-240 0.0 0.000000 -8 1 2 Pu-241 0.0 0.000000 -9 1 2 Pu-242 0.0 0.000000 -10 1 2 Am-241 0.0 0.000000 -11 1 2 Am-242m 0.0 0.000000 -12 1 2 Am-243 0.0 0.000000 -13 1 2 Cm-242 0.0 0.000000 -14 1 2 Cm-243 0.0 0.000000 -15 1 2 Cm-244 0.0 0.000000 -16 1 2 Cm-245 0.0 0.000000 -17 1 2 Mo-95 0.0 0.000000 -18 1 2 Tc-99 0.0 0.000000 -19 1 2 Ru-101 0.0 0.000000 -20 1 2 Ru-103 0.0 0.000000 -21 1 2 Ag-109 0.0 0.000000 -22 1 2 Xe-135 0.0 0.000000 -23 1 2 Cs-133 0.0 0.000000 -24 1 2 Nd-143 0.0 0.000000 -25 1 2 Nd-145 0.0 0.000000 -26 1 2 Sm-147 0.0 0.000000 -27 1 2 Sm-149 0.0 0.000000 -28 1 2 Sm-150 0.0 0.000000 -29 1 2 Sm-151 0.0 0.000000 -30 1 2 Sm-152 0.0 0.000000 -31 1 2 Eu-153 0.0 0.000000 -32 1 2 Gd-155 0.0 0.000000 -33 1 2 O-16 0.0 0.000000 material group in nuclide mean std. dev. -5 2 1 Zr-90 0.104734 0.008915 -6 2 1 Zr-91 0.036155 0.003735 -7 2 1 Zr-92 0.042422 0.003029 -8 2 1 Zr-94 0.046148 0.006251 -9 2 1 Zr-96 0.007794 0.001536 -0 2 2 Zr-90 0.121688 0.034934 -1 2 2 Zr-91 0.061792 0.024317 -2 2 2 Zr-92 0.041633 0.016323 -3 2 2 Zr-94 0.060818 0.021483 -4 2 2 Zr-96 0.000000 0.000000 material group in nuclide mean std. dev. -5 2 1 Zr-90 0.0 0.0 -6 2 1 Zr-91 0.0 0.0 -7 2 1 Zr-92 0.0 0.0 -8 2 1 Zr-94 0.0 0.0 -9 2 1 Zr-96 0.0 0.0 -0 2 2 Zr-90 0.0 0.0 -1 2 2 Zr-91 0.0 0.0 -2 2 2 Zr-92 0.0 0.0 -3 2 2 Zr-94 0.0 0.0 -4 2 2 Zr-96 0.0 0.0 material group in group out nuclide mean std. dev. -15 2 1 1 Zr-90 0.104734 0.008915 -16 2 1 1 Zr-91 0.036155 0.003735 -17 2 1 1 Zr-92 0.042422 0.003029 -18 2 1 1 Zr-94 0.046148 0.006251 -19 2 1 1 Zr-96 0.007794 0.001536 -10 2 1 2 Zr-90 0.000000 0.000000 -11 2 1 2 Zr-91 0.000000 0.000000 -12 2 1 2 Zr-92 0.000000 0.000000 -13 2 1 2 Zr-94 0.000000 0.000000 -14 2 1 2 Zr-96 0.000000 0.000000 -5 2 2 1 Zr-90 0.000000 0.000000 -6 2 2 1 Zr-91 0.000000 0.000000 -7 2 2 1 Zr-92 0.000000 0.000000 -8 2 2 1 Zr-94 0.000000 0.000000 -9 2 2 1 Zr-96 0.000000 0.000000 -0 2 2 2 Zr-90 0.121688 0.034934 -1 2 2 2 Zr-91 0.061792 0.024317 -2 2 2 2 Zr-92 0.041633 0.016323 -3 2 2 2 Zr-94 0.060818 0.021483 -4 2 2 2 Zr-96 0.000000 0.000000 material group out nuclide mean std. dev. -5 2 1 Zr-90 0.0 0.0 -6 2 1 Zr-91 0.0 0.0 -7 2 1 Zr-92 0.0 0.0 -8 2 1 Zr-94 0.0 0.0 -9 2 1 Zr-96 0.0 0.0 -0 2 2 Zr-90 0.0 0.0 -1 2 2 Zr-91 0.0 0.0 -2 2 2 Zr-92 0.0 0.0 -3 2 2 Zr-94 0.0 0.0 -4 2 2 Zr-96 0.0 0.0 material group in nuclide mean std. dev. -4 3 1 H-1 0.207103 0.023028 -5 3 1 O-16 0.079282 0.005197 -6 3 1 B-10 0.000521 0.000244 -7 3 1 B-11 0.000000 0.000000 -0 3 2 H-1 1.283344 0.250946 -1 3 2 O-16 0.085363 0.014001 -2 3 2 B-10 0.049249 0.008232 -3 3 2 B-11 0.000195 0.001527 material group in nuclide mean std. dev. -4 3 1 H-1 0.0 0.0 -5 3 1 O-16 0.0 0.0 -6 3 1 B-10 0.0 0.0 -7 3 1 B-11 0.0 0.0 -0 3 2 H-1 0.0 0.0 -1 3 2 O-16 0.0 0.0 -2 3 2 B-10 0.0 0.0 -3 3 2 B-11 0.0 0.0 material group in group out nuclide mean std. dev. -12 3 1 1 H-1 0.181306 0.022102 -13 3 1 1 O-16 0.078631 0.005044 -14 3 1 1 B-10 0.000000 0.000000 -15 3 1 1 B-11 0.000000 0.000000 -8 3 1 2 H-1 0.025666 0.001582 -9 3 1 2 O-16 0.000521 0.000131 -10 3 1 2 B-10 0.000000 0.000000 -11 3 1 2 B-11 0.000000 0.000000 -4 3 2 1 H-1 0.000000 0.000000 -5 3 2 1 O-16 0.000000 0.000000 -6 3 2 1 B-10 0.000000 0.000000 -7 3 2 1 B-11 0.000000 0.000000 -0 3 2 2 H-1 1.273963 0.250623 -1 3 2 2 O-16 0.085363 0.014001 -2 3 2 2 B-10 0.000000 0.000000 -3 3 2 2 B-11 0.000195 0.001527 material group out nuclide mean std. dev. -4 3 1 H-1 0.0 0.0 -5 3 1 O-16 0.0 0.0 -6 3 1 B-10 0.0 0.0 -7 3 1 B-11 0.0 0.0 -0 3 2 H-1 0.0 0.0 -1 3 2 O-16 0.0 0.0 -2 3 2 B-10 0.0 0.0 -3 3 2 B-11 0.0 0.0 material group in nuclide mean std. dev. -4 4 1 H-1 0.175242 0.053715 -5 4 1 O-16 0.066545 0.010083 -6 4 1 B-10 0.000570 0.000352 -7 4 1 B-11 0.000089 0.000346 -0 4 2 H-1 1.142895 0.365140 -1 4 2 O-16 0.085141 0.028073 -2 4 2 B-10 0.025923 0.007276 -3 4 2 B-11 0.000000 0.000000 material group in nuclide mean std. dev. -4 4 1 H-1 0.0 0.0 -5 4 1 O-16 0.0 0.0 -6 4 1 B-10 0.0 0.0 -7 4 1 B-11 0.0 0.0 -0 4 2 H-1 0.0 0.0 -1 4 2 O-16 0.0 0.0 -2 4 2 B-10 0.0 0.0 -3 4 2 B-11 0.0 0.0 material group in group out nuclide mean std. dev. -12 4 1 1 H-1 0.151295 0.051491 -13 4 1 1 O-16 0.066545 0.010083 -14 4 1 1 B-10 0.000000 0.000000 -15 4 1 1 B-11 0.000089 0.000346 -8 4 1 2 H-1 0.023662 0.003083 -9 4 1 2 O-16 0.000000 0.000000 -10 4 1 2 B-10 0.000000 0.000000 -11 4 1 2 B-11 0.000000 0.000000 -4 4 2 1 H-1 0.000000 0.000000 -5 4 2 1 O-16 0.000000 0.000000 -6 4 2 1 B-10 0.000000 0.000000 -7 4 2 1 B-11 0.000000 0.000000 -0 4 2 2 H-1 1.129933 0.361681 -1 4 2 2 O-16 0.085141 0.028073 -2 4 2 2 B-10 0.000000 0.000000 -3 4 2 2 B-11 0.000000 0.000000 material group out nuclide mean std. dev. -4 4 1 H-1 0.0 0.0 -5 4 1 O-16 0.0 0.0 -6 4 1 B-10 0.0 0.0 -7 4 1 B-11 0.0 0.0 -0 4 2 H-1 0.0 0.0 -1 4 2 O-16 0.0 0.0 -2 4 2 B-10 0.0 0.0 -3 4 2 B-11 0.0 0.0 material group in nuclide mean std. dev. -27 5 1 Fe-54 0.0 0.0 -28 5 1 Fe-56 0.0 0.0 -29 5 1 Fe-57 0.0 0.0 -30 5 1 Fe-58 0.0 0.0 -31 5 1 Ni-58 0.0 0.0 -32 5 1 Ni-60 0.0 0.0 -33 5 1 Ni-61 0.0 0.0 -34 5 1 Ni-62 0.0 0.0 -35 5 1 Ni-64 0.0 0.0 -36 5 1 Mn-55 0.0 0.0 -37 5 1 Mo-92 0.0 0.0 -38 5 1 Mo-94 0.0 0.0 -39 5 1 Mo-95 0.0 0.0 -40 5 1 Mo-96 0.0 0.0 -41 5 1 Mo-97 0.0 0.0 -42 5 1 Mo-98 0.0 0.0 -43 5 1 Mo-100 0.0 0.0 -44 5 1 Si-28 0.0 0.0 -45 5 1 Si-29 0.0 0.0 -46 5 1 Si-30 0.0 0.0 -47 5 1 Cr-50 0.0 0.0 -48 5 1 Cr-52 0.0 0.0 -49 5 1 Cr-53 0.0 0.0 -50 5 1 Cr-54 0.0 0.0 -51 5 1 C-Nat 0.0 0.0 -52 5 1 Cu-63 0.0 0.0 -53 5 1 Cu-65 0.0 0.0 -0 5 2 Fe-54 0.0 0.0 -1 5 2 Fe-56 0.0 0.0 -2 5 2 Fe-57 0.0 0.0 -3 5 2 Fe-58 0.0 0.0 -4 5 2 Ni-58 0.0 0.0 -5 5 2 Ni-60 0.0 0.0 -6 5 2 Ni-61 0.0 0.0 -7 5 2 Ni-62 0.0 0.0 -8 5 2 Ni-64 0.0 0.0 -9 5 2 Mn-55 0.0 0.0 -10 5 2 Mo-92 0.0 0.0 -11 5 2 Mo-94 0.0 0.0 -12 5 2 Mo-95 0.0 0.0 -13 5 2 Mo-96 0.0 0.0 -14 5 2 Mo-97 0.0 0.0 -15 5 2 Mo-98 0.0 0.0 -16 5 2 Mo-100 0.0 0.0 -17 5 2 Si-28 0.0 0.0 -18 5 2 Si-29 0.0 0.0 -19 5 2 Si-30 0.0 0.0 -20 5 2 Cr-50 0.0 0.0 -21 5 2 Cr-52 0.0 0.0 -22 5 2 Cr-53 0.0 0.0 -23 5 2 Cr-54 0.0 0.0 -24 5 2 C-Nat 0.0 0.0 -25 5 2 Cu-63 0.0 0.0 -26 5 2 Cu-65 0.0 0.0 material group in nuclide mean std. dev. -27 5 1 Fe-54 0.0 0.0 -28 5 1 Fe-56 0.0 0.0 -29 5 1 Fe-57 0.0 0.0 -30 5 1 Fe-58 0.0 0.0 -31 5 1 Ni-58 0.0 0.0 -32 5 1 Ni-60 0.0 0.0 -33 5 1 Ni-61 0.0 0.0 -34 5 1 Ni-62 0.0 0.0 -35 5 1 Ni-64 0.0 0.0 -36 5 1 Mn-55 0.0 0.0 -37 5 1 Mo-92 0.0 0.0 -38 5 1 Mo-94 0.0 0.0 -39 5 1 Mo-95 0.0 0.0 -40 5 1 Mo-96 0.0 0.0 -41 5 1 Mo-97 0.0 0.0 -42 5 1 Mo-98 0.0 0.0 -43 5 1 Mo-100 0.0 0.0 -44 5 1 Si-28 0.0 0.0 -45 5 1 Si-29 0.0 0.0 -46 5 1 Si-30 0.0 0.0 -47 5 1 Cr-50 0.0 0.0 -48 5 1 Cr-52 0.0 0.0 -49 5 1 Cr-53 0.0 0.0 -50 5 1 Cr-54 0.0 0.0 -51 5 1 C-Nat 0.0 0.0 -52 5 1 Cu-63 0.0 0.0 -53 5 1 Cu-65 0.0 0.0 -0 5 2 Fe-54 0.0 0.0 -1 5 2 Fe-56 0.0 0.0 -2 5 2 Fe-57 0.0 0.0 -3 5 2 Fe-58 0.0 0.0 -4 5 2 Ni-58 0.0 0.0 -5 5 2 Ni-60 0.0 0.0 -6 5 2 Ni-61 0.0 0.0 -7 5 2 Ni-62 0.0 0.0 -8 5 2 Ni-64 0.0 0.0 -9 5 2 Mn-55 0.0 0.0 -10 5 2 Mo-92 0.0 0.0 -11 5 2 Mo-94 0.0 0.0 -12 5 2 Mo-95 0.0 0.0 -13 5 2 Mo-96 0.0 0.0 -14 5 2 Mo-97 0.0 0.0 -15 5 2 Mo-98 0.0 0.0 -16 5 2 Mo-100 0.0 0.0 -17 5 2 Si-28 0.0 0.0 -18 5 2 Si-29 0.0 0.0 -19 5 2 Si-30 0.0 0.0 -20 5 2 Cr-50 0.0 0.0 -21 5 2 Cr-52 0.0 0.0 -22 5 2 Cr-53 0.0 0.0 -23 5 2 Cr-54 0.0 0.0 -24 5 2 C-Nat 0.0 0.0 -25 5 2 Cu-63 0.0 0.0 -26 5 2 Cu-65 0.0 0.0 material group in group out nuclide mean std. dev. -81 5 1 1 Fe-54 0.0 0.0 -82 5 1 1 Fe-56 0.0 0.0 -83 5 1 1 Fe-57 0.0 0.0 -84 5 1 1 Fe-58 0.0 0.0 -85 5 1 1 Ni-58 0.0 0.0 -86 5 1 1 Ni-60 0.0 0.0 -87 5 1 1 Ni-61 0.0 0.0 -88 5 1 1 Ni-62 0.0 0.0 -89 5 1 1 Ni-64 0.0 0.0 -90 5 1 1 Mn-55 0.0 0.0 -91 5 1 1 Mo-92 0.0 0.0 -92 5 1 1 Mo-94 0.0 0.0 -93 5 1 1 Mo-95 0.0 0.0 -94 5 1 1 Mo-96 0.0 0.0 -95 5 1 1 Mo-97 0.0 0.0 -96 5 1 1 Mo-98 0.0 0.0 -97 5 1 1 Mo-100 0.0 0.0 -98 5 1 1 Si-28 0.0 0.0 -99 5 1 1 Si-29 0.0 0.0 -100 5 1 1 Si-30 0.0 0.0 -101 5 1 1 Cr-50 0.0 0.0 -102 5 1 1 Cr-52 0.0 0.0 -103 5 1 1 Cr-53 0.0 0.0 -104 5 1 1 Cr-54 0.0 0.0 -105 5 1 1 C-Nat 0.0 0.0 -106 5 1 1 Cu-63 0.0 0.0 -107 5 1 1 Cu-65 0.0 0.0 -54 5 1 2 Fe-54 0.0 0.0 -55 5 1 2 Fe-56 0.0 0.0 -56 5 1 2 Fe-57 0.0 0.0 -57 5 1 2 Fe-58 0.0 0.0 -58 5 1 2 Ni-58 0.0 0.0 -59 5 1 2 Ni-60 0.0 0.0 -60 5 1 2 Ni-61 0.0 0.0 -61 5 1 2 Ni-62 0.0 0.0 -62 5 1 2 Ni-64 0.0 0.0 -63 5 1 2 Mn-55 0.0 0.0 -64 5 1 2 Mo-92 0.0 0.0 -65 5 1 2 Mo-94 0.0 0.0 -66 5 1 2 Mo-95 0.0 0.0 -67 5 1 2 Mo-96 0.0 0.0 -68 5 1 2 Mo-97 0.0 0.0 -69 5 1 2 Mo-98 0.0 0.0 -70 5 1 2 Mo-100 0.0 0.0 -71 5 1 2 Si-28 0.0 0.0 -72 5 1 2 Si-29 0.0 0.0 -73 5 1 2 Si-30 0.0 0.0 -74 5 1 2 Cr-50 0.0 0.0 -75 5 1 2 Cr-52 0.0 0.0 -76 5 1 2 Cr-53 0.0 0.0 -77 5 1 2 Cr-54 0.0 0.0 -78 5 1 2 C-Nat 0.0 0.0 -79 5 1 2 Cu-63 0.0 0.0 -80 5 1 2 Cu-65 0.0 0.0 -27 5 2 1 Fe-54 0.0 0.0 -28 5 2 1 Fe-56 0.0 0.0 -29 5 2 1 Fe-57 0.0 0.0 -30 5 2 1 Fe-58 0.0 0.0 -31 5 2 1 Ni-58 0.0 0.0 -32 5 2 1 Ni-60 0.0 0.0 -33 5 2 1 Ni-61 0.0 0.0 -34 5 2 1 Ni-62 0.0 0.0 -35 5 2 1 Ni-64 0.0 0.0 -36 5 2 1 Mn-55 0.0 0.0 -37 5 2 1 Mo-92 0.0 0.0 -38 5 2 1 Mo-94 0.0 0.0 -39 5 2 1 Mo-95 0.0 0.0 -40 5 2 1 Mo-96 0.0 0.0 -41 5 2 1 Mo-97 0.0 0.0 -42 5 2 1 Mo-98 0.0 0.0 -43 5 2 1 Mo-100 0.0 0.0 -44 5 2 1 Si-28 0.0 0.0 -45 5 2 1 Si-29 0.0 0.0 -46 5 2 1 Si-30 0.0 0.0 -47 5 2 1 Cr-50 0.0 0.0 -48 5 2 1 Cr-52 0.0 0.0 -49 5 2 1 Cr-53 0.0 0.0 -50 5 2 1 Cr-54 0.0 0.0 -51 5 2 1 C-Nat 0.0 0.0 -52 5 2 1 Cu-63 0.0 0.0 -53 5 2 1 Cu-65 0.0 0.0 -0 5 2 2 Fe-54 0.0 0.0 -1 5 2 2 Fe-56 0.0 0.0 -2 5 2 2 Fe-57 0.0 0.0 -3 5 2 2 Fe-58 0.0 0.0 -4 5 2 2 Ni-58 0.0 0.0 -5 5 2 2 Ni-60 0.0 0.0 -6 5 2 2 Ni-61 0.0 0.0 -7 5 2 2 Ni-62 0.0 0.0 -8 5 2 2 Ni-64 0.0 0.0 -9 5 2 2 Mn-55 0.0 0.0 -10 5 2 2 Mo-92 0.0 0.0 -11 5 2 2 Mo-94 0.0 0.0 -12 5 2 2 Mo-95 0.0 0.0 -13 5 2 2 Mo-96 0.0 0.0 -14 5 2 2 Mo-97 0.0 0.0 -15 5 2 2 Mo-98 0.0 0.0 -16 5 2 2 Mo-100 0.0 0.0 -17 5 2 2 Si-28 0.0 0.0 -18 5 2 2 Si-29 0.0 0.0 -19 5 2 2 Si-30 0.0 0.0 -20 5 2 2 Cr-50 0.0 0.0 -21 5 2 2 Cr-52 0.0 0.0 -22 5 2 2 Cr-53 0.0 0.0 -23 5 2 2 Cr-54 0.0 0.0 -24 5 2 2 C-Nat 0.0 0.0 -25 5 2 2 Cu-63 0.0 0.0 -26 5 2 2 Cu-65 0.0 0.0 material group out nuclide mean std. dev. -27 5 1 Fe-54 0.0 0.0 -28 5 1 Fe-56 0.0 0.0 -29 5 1 Fe-57 0.0 0.0 -30 5 1 Fe-58 0.0 0.0 -31 5 1 Ni-58 0.0 0.0 -32 5 1 Ni-60 0.0 0.0 -33 5 1 Ni-61 0.0 0.0 -34 5 1 Ni-62 0.0 0.0 -35 5 1 Ni-64 0.0 0.0 -36 5 1 Mn-55 0.0 0.0 -37 5 1 Mo-92 0.0 0.0 -38 5 1 Mo-94 0.0 0.0 -39 5 1 Mo-95 0.0 0.0 -40 5 1 Mo-96 0.0 0.0 -41 5 1 Mo-97 0.0 0.0 -42 5 1 Mo-98 0.0 0.0 -43 5 1 Mo-100 0.0 0.0 -44 5 1 Si-28 0.0 0.0 -45 5 1 Si-29 0.0 0.0 -46 5 1 Si-30 0.0 0.0 -47 5 1 Cr-50 0.0 0.0 -48 5 1 Cr-52 0.0 0.0 -49 5 1 Cr-53 0.0 0.0 -50 5 1 Cr-54 0.0 0.0 -51 5 1 C-Nat 0.0 0.0 -52 5 1 Cu-63 0.0 0.0 -53 5 1 Cu-65 0.0 0.0 -0 5 2 Fe-54 0.0 0.0 -1 5 2 Fe-56 0.0 0.0 -2 5 2 Fe-57 0.0 0.0 -3 5 2 Fe-58 0.0 0.0 -4 5 2 Ni-58 0.0 0.0 -5 5 2 Ni-60 0.0 0.0 -6 5 2 Ni-61 0.0 0.0 -7 5 2 Ni-62 0.0 0.0 -8 5 2 Ni-64 0.0 0.0 -9 5 2 Mn-55 0.0 0.0 -10 5 2 Mo-92 0.0 0.0 -11 5 2 Mo-94 0.0 0.0 -12 5 2 Mo-95 0.0 0.0 -13 5 2 Mo-96 0.0 0.0 -14 5 2 Mo-97 0.0 0.0 -15 5 2 Mo-98 0.0 0.0 -16 5 2 Mo-100 0.0 0.0 -17 5 2 Si-28 0.0 0.0 -18 5 2 Si-29 0.0 0.0 -19 5 2 Si-30 0.0 0.0 -20 5 2 Cr-50 0.0 0.0 -21 5 2 Cr-52 0.0 0.0 -22 5 2 Cr-53 0.0 0.0 -23 5 2 Cr-54 0.0 0.0 -24 5 2 C-Nat 0.0 0.0 -25 5 2 Cu-63 0.0 0.0 -26 5 2 Cu-65 0.0 0.0 material group in nuclide mean std. dev. -21 6 1 H-1 0.0 0.0 -22 6 1 O-16 0.0 0.0 -23 6 1 B-10 0.0 0.0 -24 6 1 B-11 0.0 0.0 -25 6 1 Fe-54 0.0 0.0 -26 6 1 Fe-56 0.0 0.0 -27 6 1 Fe-57 0.0 0.0 -28 6 1 Fe-58 0.0 0.0 -29 6 1 Ni-58 0.0 0.0 -30 6 1 Ni-60 0.0 0.0 -31 6 1 Ni-61 0.0 0.0 -32 6 1 Ni-62 0.0 0.0 -33 6 1 Ni-64 0.0 0.0 -34 6 1 Mn-55 0.0 0.0 -35 6 1 Si-28 0.0 0.0 -36 6 1 Si-29 0.0 0.0 -37 6 1 Si-30 0.0 0.0 -38 6 1 Cr-50 0.0 0.0 -39 6 1 Cr-52 0.0 0.0 -40 6 1 Cr-53 0.0 0.0 -41 6 1 Cr-54 0.0 0.0 -0 6 2 H-1 0.0 0.0 -1 6 2 O-16 0.0 0.0 -2 6 2 B-10 0.0 0.0 -3 6 2 B-11 0.0 0.0 -4 6 2 Fe-54 0.0 0.0 -5 6 2 Fe-56 0.0 0.0 -6 6 2 Fe-57 0.0 0.0 -7 6 2 Fe-58 0.0 0.0 -8 6 2 Ni-58 0.0 0.0 -9 6 2 Ni-60 0.0 0.0 -10 6 2 Ni-61 0.0 0.0 -11 6 2 Ni-62 0.0 0.0 -12 6 2 Ni-64 0.0 0.0 -13 6 2 Mn-55 0.0 0.0 -14 6 2 Si-28 0.0 0.0 -15 6 2 Si-29 0.0 0.0 -16 6 2 Si-30 0.0 0.0 -17 6 2 Cr-50 0.0 0.0 -18 6 2 Cr-52 0.0 0.0 -19 6 2 Cr-53 0.0 0.0 -20 6 2 Cr-54 0.0 0.0 material group in nuclide mean std. dev. -21 6 1 H-1 0.0 0.0 -22 6 1 O-16 0.0 0.0 -23 6 1 B-10 0.0 0.0 -24 6 1 B-11 0.0 0.0 -25 6 1 Fe-54 0.0 0.0 -26 6 1 Fe-56 0.0 0.0 -27 6 1 Fe-57 0.0 0.0 -28 6 1 Fe-58 0.0 0.0 -29 6 1 Ni-58 0.0 0.0 -30 6 1 Ni-60 0.0 0.0 -31 6 1 Ni-61 0.0 0.0 -32 6 1 Ni-62 0.0 0.0 -33 6 1 Ni-64 0.0 0.0 -34 6 1 Mn-55 0.0 0.0 -35 6 1 Si-28 0.0 0.0 -36 6 1 Si-29 0.0 0.0 -37 6 1 Si-30 0.0 0.0 -38 6 1 Cr-50 0.0 0.0 -39 6 1 Cr-52 0.0 0.0 -40 6 1 Cr-53 0.0 0.0 -41 6 1 Cr-54 0.0 0.0 -0 6 2 H-1 0.0 0.0 -1 6 2 O-16 0.0 0.0 -2 6 2 B-10 0.0 0.0 -3 6 2 B-11 0.0 0.0 -4 6 2 Fe-54 0.0 0.0 -5 6 2 Fe-56 0.0 0.0 -6 6 2 Fe-57 0.0 0.0 -7 6 2 Fe-58 0.0 0.0 -8 6 2 Ni-58 0.0 0.0 -9 6 2 Ni-60 0.0 0.0 -10 6 2 Ni-61 0.0 0.0 -11 6 2 Ni-62 0.0 0.0 -12 6 2 Ni-64 0.0 0.0 -13 6 2 Mn-55 0.0 0.0 -14 6 2 Si-28 0.0 0.0 -15 6 2 Si-29 0.0 0.0 -16 6 2 Si-30 0.0 0.0 -17 6 2 Cr-50 0.0 0.0 -18 6 2 Cr-52 0.0 0.0 -19 6 2 Cr-53 0.0 0.0 -20 6 2 Cr-54 0.0 0.0 material group in group out nuclide mean std. dev. -63 6 1 1 H-1 0.0 0.0 -64 6 1 1 O-16 0.0 0.0 -65 6 1 1 B-10 0.0 0.0 -66 6 1 1 B-11 0.0 0.0 -67 6 1 1 Fe-54 0.0 0.0 -68 6 1 1 Fe-56 0.0 0.0 -69 6 1 1 Fe-57 0.0 0.0 -70 6 1 1 Fe-58 0.0 0.0 -71 6 1 1 Ni-58 0.0 0.0 -72 6 1 1 Ni-60 0.0 0.0 -73 6 1 1 Ni-61 0.0 0.0 -74 6 1 1 Ni-62 0.0 0.0 -75 6 1 1 Ni-64 0.0 0.0 -76 6 1 1 Mn-55 0.0 0.0 -77 6 1 1 Si-28 0.0 0.0 -78 6 1 1 Si-29 0.0 0.0 -79 6 1 1 Si-30 0.0 0.0 -80 6 1 1 Cr-50 0.0 0.0 -81 6 1 1 Cr-52 0.0 0.0 -82 6 1 1 Cr-53 0.0 0.0 -83 6 1 1 Cr-54 0.0 0.0 -42 6 1 2 H-1 0.0 0.0 -43 6 1 2 O-16 0.0 0.0 -44 6 1 2 B-10 0.0 0.0 -45 6 1 2 B-11 0.0 0.0 -46 6 1 2 Fe-54 0.0 0.0 -47 6 1 2 Fe-56 0.0 0.0 -48 6 1 2 Fe-57 0.0 0.0 -49 6 1 2 Fe-58 0.0 0.0 -50 6 1 2 Ni-58 0.0 0.0 -51 6 1 2 Ni-60 0.0 0.0 -52 6 1 2 Ni-61 0.0 0.0 -53 6 1 2 Ni-62 0.0 0.0 -54 6 1 2 Ni-64 0.0 0.0 -55 6 1 2 Mn-55 0.0 0.0 -56 6 1 2 Si-28 0.0 0.0 -57 6 1 2 Si-29 0.0 0.0 -58 6 1 2 Si-30 0.0 0.0 -59 6 1 2 Cr-50 0.0 0.0 -60 6 1 2 Cr-52 0.0 0.0 -61 6 1 2 Cr-53 0.0 0.0 -62 6 1 2 Cr-54 0.0 0.0 -21 6 2 1 H-1 0.0 0.0 -22 6 2 1 O-16 0.0 0.0 -23 6 2 1 B-10 0.0 0.0 -24 6 2 1 B-11 0.0 0.0 -25 6 2 1 Fe-54 0.0 0.0 -26 6 2 1 Fe-56 0.0 0.0 -27 6 2 1 Fe-57 0.0 0.0 -28 6 2 1 Fe-58 0.0 0.0 -29 6 2 1 Ni-58 0.0 0.0 -30 6 2 1 Ni-60 0.0 0.0 -31 6 2 1 Ni-61 0.0 0.0 -32 6 2 1 Ni-62 0.0 0.0 -33 6 2 1 Ni-64 0.0 0.0 -34 6 2 1 Mn-55 0.0 0.0 -35 6 2 1 Si-28 0.0 0.0 -36 6 2 1 Si-29 0.0 0.0 -37 6 2 1 Si-30 0.0 0.0 -38 6 2 1 Cr-50 0.0 0.0 -39 6 2 1 Cr-52 0.0 0.0 -40 6 2 1 Cr-53 0.0 0.0 -41 6 2 1 Cr-54 0.0 0.0 -0 6 2 2 H-1 0.0 0.0 -1 6 2 2 O-16 0.0 0.0 -2 6 2 2 B-10 0.0 0.0 -3 6 2 2 B-11 0.0 0.0 -4 6 2 2 Fe-54 0.0 0.0 -5 6 2 2 Fe-56 0.0 0.0 -6 6 2 2 Fe-57 0.0 0.0 -7 6 2 2 Fe-58 0.0 0.0 -8 6 2 2 Ni-58 0.0 0.0 -9 6 2 2 Ni-60 0.0 0.0 -10 6 2 2 Ni-61 0.0 0.0 -11 6 2 2 Ni-62 0.0 0.0 -12 6 2 2 Ni-64 0.0 0.0 -13 6 2 2 Mn-55 0.0 0.0 -14 6 2 2 Si-28 0.0 0.0 -15 6 2 2 Si-29 0.0 0.0 -16 6 2 2 Si-30 0.0 0.0 -17 6 2 2 Cr-50 0.0 0.0 -18 6 2 2 Cr-52 0.0 0.0 -19 6 2 2 Cr-53 0.0 0.0 -20 6 2 2 Cr-54 0.0 0.0 material group out nuclide mean std. dev. -21 6 1 H-1 0.0 0.0 -22 6 1 O-16 0.0 0.0 -23 6 1 B-10 0.0 0.0 -24 6 1 B-11 0.0 0.0 -25 6 1 Fe-54 0.0 0.0 -26 6 1 Fe-56 0.0 0.0 -27 6 1 Fe-57 0.0 0.0 -28 6 1 Fe-58 0.0 0.0 -29 6 1 Ni-58 0.0 0.0 -30 6 1 Ni-60 0.0 0.0 -31 6 1 Ni-61 0.0 0.0 -32 6 1 Ni-62 0.0 0.0 -33 6 1 Ni-64 0.0 0.0 -34 6 1 Mn-55 0.0 0.0 -35 6 1 Si-28 0.0 0.0 -36 6 1 Si-29 0.0 0.0 -37 6 1 Si-30 0.0 0.0 -38 6 1 Cr-50 0.0 0.0 -39 6 1 Cr-52 0.0 0.0 -40 6 1 Cr-53 0.0 0.0 -41 6 1 Cr-54 0.0 0.0 -0 6 2 H-1 0.0 0.0 -1 6 2 O-16 0.0 0.0 -2 6 2 B-10 0.0 0.0 -3 6 2 B-11 0.0 0.0 -4 6 2 Fe-54 0.0 0.0 -5 6 2 Fe-56 0.0 0.0 -6 6 2 Fe-57 0.0 0.0 -7 6 2 Fe-58 0.0 0.0 -8 6 2 Ni-58 0.0 0.0 -9 6 2 Ni-60 0.0 0.0 -10 6 2 Ni-61 0.0 0.0 -11 6 2 Ni-62 0.0 0.0 -12 6 2 Ni-64 0.0 0.0 -13 6 2 Mn-55 0.0 0.0 -14 6 2 Si-28 0.0 0.0 -15 6 2 Si-29 0.0 0.0 -16 6 2 Si-30 0.0 0.0 -17 6 2 Cr-50 0.0 0.0 -18 6 2 Cr-52 0.0 0.0 -19 6 2 Cr-53 0.0 0.0 -20 6 2 Cr-54 0.0 0.0 material group in nuclide mean std. dev. -21 7 1 H-1 0.0 0.0 -22 7 1 O-16 0.0 0.0 -23 7 1 B-10 0.0 0.0 -24 7 1 B-11 0.0 0.0 -25 7 1 Fe-54 0.0 0.0 -26 7 1 Fe-56 0.0 0.0 -27 7 1 Fe-57 0.0 0.0 -28 7 1 Fe-58 0.0 0.0 -29 7 1 Ni-58 0.0 0.0 -30 7 1 Ni-60 0.0 0.0 -31 7 1 Ni-61 0.0 0.0 -32 7 1 Ni-62 0.0 0.0 -33 7 1 Ni-64 0.0 0.0 -34 7 1 Mn-55 0.0 0.0 -35 7 1 Si-28 0.0 0.0 -36 7 1 Si-29 0.0 0.0 -37 7 1 Si-30 0.0 0.0 -38 7 1 Cr-50 0.0 0.0 -39 7 1 Cr-52 0.0 0.0 -40 7 1 Cr-53 0.0 0.0 -41 7 1 Cr-54 0.0 0.0 -0 7 2 H-1 0.0 0.0 -1 7 2 O-16 0.0 0.0 -2 7 2 B-10 0.0 0.0 -3 7 2 B-11 0.0 0.0 -4 7 2 Fe-54 0.0 0.0 -5 7 2 Fe-56 0.0 0.0 -6 7 2 Fe-57 0.0 0.0 -7 7 2 Fe-58 0.0 0.0 -8 7 2 Ni-58 0.0 0.0 -9 7 2 Ni-60 0.0 0.0 -10 7 2 Ni-61 0.0 0.0 -11 7 2 Ni-62 0.0 0.0 -12 7 2 Ni-64 0.0 0.0 -13 7 2 Mn-55 0.0 0.0 -14 7 2 Si-28 0.0 0.0 -15 7 2 Si-29 0.0 0.0 -16 7 2 Si-30 0.0 0.0 -17 7 2 Cr-50 0.0 0.0 -18 7 2 Cr-52 0.0 0.0 -19 7 2 Cr-53 0.0 0.0 -20 7 2 Cr-54 0.0 0.0 material group in nuclide mean std. dev. -21 7 1 H-1 0.0 0.0 -22 7 1 O-16 0.0 0.0 -23 7 1 B-10 0.0 0.0 -24 7 1 B-11 0.0 0.0 -25 7 1 Fe-54 0.0 0.0 -26 7 1 Fe-56 0.0 0.0 -27 7 1 Fe-57 0.0 0.0 -28 7 1 Fe-58 0.0 0.0 -29 7 1 Ni-58 0.0 0.0 -30 7 1 Ni-60 0.0 0.0 -31 7 1 Ni-61 0.0 0.0 -32 7 1 Ni-62 0.0 0.0 -33 7 1 Ni-64 0.0 0.0 -34 7 1 Mn-55 0.0 0.0 -35 7 1 Si-28 0.0 0.0 -36 7 1 Si-29 0.0 0.0 -37 7 1 Si-30 0.0 0.0 -38 7 1 Cr-50 0.0 0.0 -39 7 1 Cr-52 0.0 0.0 -40 7 1 Cr-53 0.0 0.0 -41 7 1 Cr-54 0.0 0.0 -0 7 2 H-1 0.0 0.0 -1 7 2 O-16 0.0 0.0 -2 7 2 B-10 0.0 0.0 -3 7 2 B-11 0.0 0.0 -4 7 2 Fe-54 0.0 0.0 -5 7 2 Fe-56 0.0 0.0 -6 7 2 Fe-57 0.0 0.0 -7 7 2 Fe-58 0.0 0.0 -8 7 2 Ni-58 0.0 0.0 -9 7 2 Ni-60 0.0 0.0 -10 7 2 Ni-61 0.0 0.0 -11 7 2 Ni-62 0.0 0.0 -12 7 2 Ni-64 0.0 0.0 -13 7 2 Mn-55 0.0 0.0 -14 7 2 Si-28 0.0 0.0 -15 7 2 Si-29 0.0 0.0 -16 7 2 Si-30 0.0 0.0 -17 7 2 Cr-50 0.0 0.0 -18 7 2 Cr-52 0.0 0.0 -19 7 2 Cr-53 0.0 0.0 -20 7 2 Cr-54 0.0 0.0 material group in group out nuclide mean std. dev. -63 7 1 1 H-1 0.0 0.0 -64 7 1 1 O-16 0.0 0.0 -65 7 1 1 B-10 0.0 0.0 -66 7 1 1 B-11 0.0 0.0 -67 7 1 1 Fe-54 0.0 0.0 -68 7 1 1 Fe-56 0.0 0.0 -69 7 1 1 Fe-57 0.0 0.0 -70 7 1 1 Fe-58 0.0 0.0 -71 7 1 1 Ni-58 0.0 0.0 -72 7 1 1 Ni-60 0.0 0.0 -73 7 1 1 Ni-61 0.0 0.0 -74 7 1 1 Ni-62 0.0 0.0 -75 7 1 1 Ni-64 0.0 0.0 -76 7 1 1 Mn-55 0.0 0.0 -77 7 1 1 Si-28 0.0 0.0 -78 7 1 1 Si-29 0.0 0.0 -79 7 1 1 Si-30 0.0 0.0 -80 7 1 1 Cr-50 0.0 0.0 -81 7 1 1 Cr-52 0.0 0.0 -82 7 1 1 Cr-53 0.0 0.0 -83 7 1 1 Cr-54 0.0 0.0 -42 7 1 2 H-1 0.0 0.0 -43 7 1 2 O-16 0.0 0.0 -44 7 1 2 B-10 0.0 0.0 -45 7 1 2 B-11 0.0 0.0 -46 7 1 2 Fe-54 0.0 0.0 -47 7 1 2 Fe-56 0.0 0.0 -48 7 1 2 Fe-57 0.0 0.0 -49 7 1 2 Fe-58 0.0 0.0 -50 7 1 2 Ni-58 0.0 0.0 -51 7 1 2 Ni-60 0.0 0.0 -52 7 1 2 Ni-61 0.0 0.0 -53 7 1 2 Ni-62 0.0 0.0 -54 7 1 2 Ni-64 0.0 0.0 -55 7 1 2 Mn-55 0.0 0.0 -56 7 1 2 Si-28 0.0 0.0 -57 7 1 2 Si-29 0.0 0.0 -58 7 1 2 Si-30 0.0 0.0 -59 7 1 2 Cr-50 0.0 0.0 -60 7 1 2 Cr-52 0.0 0.0 -61 7 1 2 Cr-53 0.0 0.0 -62 7 1 2 Cr-54 0.0 0.0 -21 7 2 1 H-1 0.0 0.0 -22 7 2 1 O-16 0.0 0.0 -23 7 2 1 B-10 0.0 0.0 -24 7 2 1 B-11 0.0 0.0 -25 7 2 1 Fe-54 0.0 0.0 -26 7 2 1 Fe-56 0.0 0.0 -27 7 2 1 Fe-57 0.0 0.0 -28 7 2 1 Fe-58 0.0 0.0 -29 7 2 1 Ni-58 0.0 0.0 -30 7 2 1 Ni-60 0.0 0.0 -31 7 2 1 Ni-61 0.0 0.0 -32 7 2 1 Ni-62 0.0 0.0 -33 7 2 1 Ni-64 0.0 0.0 -34 7 2 1 Mn-55 0.0 0.0 -35 7 2 1 Si-28 0.0 0.0 -36 7 2 1 Si-29 0.0 0.0 -37 7 2 1 Si-30 0.0 0.0 -38 7 2 1 Cr-50 0.0 0.0 -39 7 2 1 Cr-52 0.0 0.0 -40 7 2 1 Cr-53 0.0 0.0 -41 7 2 1 Cr-54 0.0 0.0 -0 7 2 2 H-1 0.0 0.0 -1 7 2 2 O-16 0.0 0.0 -2 7 2 2 B-10 0.0 0.0 -3 7 2 2 B-11 0.0 0.0 -4 7 2 2 Fe-54 0.0 0.0 -5 7 2 2 Fe-56 0.0 0.0 -6 7 2 2 Fe-57 0.0 0.0 -7 7 2 2 Fe-58 0.0 0.0 -8 7 2 2 Ni-58 0.0 0.0 -9 7 2 2 Ni-60 0.0 0.0 -10 7 2 2 Ni-61 0.0 0.0 -11 7 2 2 Ni-62 0.0 0.0 -12 7 2 2 Ni-64 0.0 0.0 -13 7 2 2 Mn-55 0.0 0.0 -14 7 2 2 Si-28 0.0 0.0 -15 7 2 2 Si-29 0.0 0.0 -16 7 2 2 Si-30 0.0 0.0 -17 7 2 2 Cr-50 0.0 0.0 -18 7 2 2 Cr-52 0.0 0.0 -19 7 2 2 Cr-53 0.0 0.0 -20 7 2 2 Cr-54 0.0 0.0 material group out nuclide mean std. dev. -21 7 1 H-1 0.0 0.0 -22 7 1 O-16 0.0 0.0 -23 7 1 B-10 0.0 0.0 -24 7 1 B-11 0.0 0.0 -25 7 1 Fe-54 0.0 0.0 -26 7 1 Fe-56 0.0 0.0 -27 7 1 Fe-57 0.0 0.0 -28 7 1 Fe-58 0.0 0.0 -29 7 1 Ni-58 0.0 0.0 -30 7 1 Ni-60 0.0 0.0 -31 7 1 Ni-61 0.0 0.0 -32 7 1 Ni-62 0.0 0.0 -33 7 1 Ni-64 0.0 0.0 -34 7 1 Mn-55 0.0 0.0 -35 7 1 Si-28 0.0 0.0 -36 7 1 Si-29 0.0 0.0 -37 7 1 Si-30 0.0 0.0 -38 7 1 Cr-50 0.0 0.0 -39 7 1 Cr-52 0.0 0.0 -40 7 1 Cr-53 0.0 0.0 -41 7 1 Cr-54 0.0 0.0 -0 7 2 H-1 0.0 0.0 -1 7 2 O-16 0.0 0.0 -2 7 2 B-10 0.0 0.0 -3 7 2 B-11 0.0 0.0 -4 7 2 Fe-54 0.0 0.0 -5 7 2 Fe-56 0.0 0.0 -6 7 2 Fe-57 0.0 0.0 -7 7 2 Fe-58 0.0 0.0 -8 7 2 Ni-58 0.0 0.0 -9 7 2 Ni-60 0.0 0.0 -10 7 2 Ni-61 0.0 0.0 -11 7 2 Ni-62 0.0 0.0 -12 7 2 Ni-64 0.0 0.0 -13 7 2 Mn-55 0.0 0.0 -14 7 2 Si-28 0.0 0.0 -15 7 2 Si-29 0.0 0.0 -16 7 2 Si-30 0.0 0.0 -17 7 2 Cr-50 0.0 0.0 -18 7 2 Cr-52 0.0 0.0 -19 7 2 Cr-53 0.0 0.0 -20 7 2 Cr-54 0.0 0.0 material group in nuclide mean std. dev. -21 8 1 H-1 0.0 0.0 -22 8 1 O-16 0.0 0.0 -23 8 1 B-10 0.0 0.0 -24 8 1 B-11 0.0 0.0 -25 8 1 Fe-54 0.0 0.0 -26 8 1 Fe-56 0.0 0.0 -27 8 1 Fe-57 0.0 0.0 -28 8 1 Fe-58 0.0 0.0 -29 8 1 Ni-58 0.0 0.0 -30 8 1 Ni-60 0.0 0.0 -31 8 1 Ni-61 0.0 0.0 -32 8 1 Ni-62 0.0 0.0 -33 8 1 Ni-64 0.0 0.0 -34 8 1 Mn-55 0.0 0.0 -35 8 1 Si-28 0.0 0.0 -36 8 1 Si-29 0.0 0.0 -37 8 1 Si-30 0.0 0.0 -38 8 1 Cr-50 0.0 0.0 -39 8 1 Cr-52 0.0 0.0 -40 8 1 Cr-53 0.0 0.0 -41 8 1 Cr-54 0.0 0.0 -0 8 2 H-1 0.0 0.0 -1 8 2 O-16 0.0 0.0 -2 8 2 B-10 0.0 0.0 -3 8 2 B-11 0.0 0.0 -4 8 2 Fe-54 0.0 0.0 -5 8 2 Fe-56 0.0 0.0 -6 8 2 Fe-57 0.0 0.0 -7 8 2 Fe-58 0.0 0.0 -8 8 2 Ni-58 0.0 0.0 -9 8 2 Ni-60 0.0 0.0 -10 8 2 Ni-61 0.0 0.0 -11 8 2 Ni-62 0.0 0.0 -12 8 2 Ni-64 0.0 0.0 -13 8 2 Mn-55 0.0 0.0 -14 8 2 Si-28 0.0 0.0 -15 8 2 Si-29 0.0 0.0 -16 8 2 Si-30 0.0 0.0 -17 8 2 Cr-50 0.0 0.0 -18 8 2 Cr-52 0.0 0.0 -19 8 2 Cr-53 0.0 0.0 -20 8 2 Cr-54 0.0 0.0 material group in nuclide mean std. dev. -21 8 1 H-1 0.0 0.0 -22 8 1 O-16 0.0 0.0 -23 8 1 B-10 0.0 0.0 -24 8 1 B-11 0.0 0.0 -25 8 1 Fe-54 0.0 0.0 -26 8 1 Fe-56 0.0 0.0 -27 8 1 Fe-57 0.0 0.0 -28 8 1 Fe-58 0.0 0.0 -29 8 1 Ni-58 0.0 0.0 -30 8 1 Ni-60 0.0 0.0 -31 8 1 Ni-61 0.0 0.0 -32 8 1 Ni-62 0.0 0.0 -33 8 1 Ni-64 0.0 0.0 -34 8 1 Mn-55 0.0 0.0 -35 8 1 Si-28 0.0 0.0 -36 8 1 Si-29 0.0 0.0 -37 8 1 Si-30 0.0 0.0 -38 8 1 Cr-50 0.0 0.0 -39 8 1 Cr-52 0.0 0.0 -40 8 1 Cr-53 0.0 0.0 -41 8 1 Cr-54 0.0 0.0 -0 8 2 H-1 0.0 0.0 -1 8 2 O-16 0.0 0.0 -2 8 2 B-10 0.0 0.0 -3 8 2 B-11 0.0 0.0 -4 8 2 Fe-54 0.0 0.0 -5 8 2 Fe-56 0.0 0.0 -6 8 2 Fe-57 0.0 0.0 -7 8 2 Fe-58 0.0 0.0 -8 8 2 Ni-58 0.0 0.0 -9 8 2 Ni-60 0.0 0.0 -10 8 2 Ni-61 0.0 0.0 -11 8 2 Ni-62 0.0 0.0 -12 8 2 Ni-64 0.0 0.0 -13 8 2 Mn-55 0.0 0.0 -14 8 2 Si-28 0.0 0.0 -15 8 2 Si-29 0.0 0.0 -16 8 2 Si-30 0.0 0.0 -17 8 2 Cr-50 0.0 0.0 -18 8 2 Cr-52 0.0 0.0 -19 8 2 Cr-53 0.0 0.0 -20 8 2 Cr-54 0.0 0.0 material group in group out nuclide mean std. dev. -63 8 1 1 H-1 0.0 0.0 -64 8 1 1 O-16 0.0 0.0 -65 8 1 1 B-10 0.0 0.0 -66 8 1 1 B-11 0.0 0.0 -67 8 1 1 Fe-54 0.0 0.0 -68 8 1 1 Fe-56 0.0 0.0 -69 8 1 1 Fe-57 0.0 0.0 -70 8 1 1 Fe-58 0.0 0.0 -71 8 1 1 Ni-58 0.0 0.0 -72 8 1 1 Ni-60 0.0 0.0 -73 8 1 1 Ni-61 0.0 0.0 -74 8 1 1 Ni-62 0.0 0.0 -75 8 1 1 Ni-64 0.0 0.0 -76 8 1 1 Mn-55 0.0 0.0 -77 8 1 1 Si-28 0.0 0.0 -78 8 1 1 Si-29 0.0 0.0 -79 8 1 1 Si-30 0.0 0.0 -80 8 1 1 Cr-50 0.0 0.0 -81 8 1 1 Cr-52 0.0 0.0 -82 8 1 1 Cr-53 0.0 0.0 -83 8 1 1 Cr-54 0.0 0.0 -42 8 1 2 H-1 0.0 0.0 -43 8 1 2 O-16 0.0 0.0 -44 8 1 2 B-10 0.0 0.0 -45 8 1 2 B-11 0.0 0.0 -46 8 1 2 Fe-54 0.0 0.0 -47 8 1 2 Fe-56 0.0 0.0 -48 8 1 2 Fe-57 0.0 0.0 -49 8 1 2 Fe-58 0.0 0.0 -50 8 1 2 Ni-58 0.0 0.0 -51 8 1 2 Ni-60 0.0 0.0 -52 8 1 2 Ni-61 0.0 0.0 -53 8 1 2 Ni-62 0.0 0.0 -54 8 1 2 Ni-64 0.0 0.0 -55 8 1 2 Mn-55 0.0 0.0 -56 8 1 2 Si-28 0.0 0.0 -57 8 1 2 Si-29 0.0 0.0 -58 8 1 2 Si-30 0.0 0.0 -59 8 1 2 Cr-50 0.0 0.0 -60 8 1 2 Cr-52 0.0 0.0 -61 8 1 2 Cr-53 0.0 0.0 -62 8 1 2 Cr-54 0.0 0.0 -21 8 2 1 H-1 0.0 0.0 -22 8 2 1 O-16 0.0 0.0 -23 8 2 1 B-10 0.0 0.0 -24 8 2 1 B-11 0.0 0.0 -25 8 2 1 Fe-54 0.0 0.0 -26 8 2 1 Fe-56 0.0 0.0 -27 8 2 1 Fe-57 0.0 0.0 -28 8 2 1 Fe-58 0.0 0.0 -29 8 2 1 Ni-58 0.0 0.0 -30 8 2 1 Ni-60 0.0 0.0 -31 8 2 1 Ni-61 0.0 0.0 -32 8 2 1 Ni-62 0.0 0.0 -33 8 2 1 Ni-64 0.0 0.0 -34 8 2 1 Mn-55 0.0 0.0 -35 8 2 1 Si-28 0.0 0.0 -36 8 2 1 Si-29 0.0 0.0 -37 8 2 1 Si-30 0.0 0.0 -38 8 2 1 Cr-50 0.0 0.0 -39 8 2 1 Cr-52 0.0 0.0 -40 8 2 1 Cr-53 0.0 0.0 -41 8 2 1 Cr-54 0.0 0.0 -0 8 2 2 H-1 0.0 0.0 -1 8 2 2 O-16 0.0 0.0 -2 8 2 2 B-10 0.0 0.0 -3 8 2 2 B-11 0.0 0.0 -4 8 2 2 Fe-54 0.0 0.0 -5 8 2 2 Fe-56 0.0 0.0 -6 8 2 2 Fe-57 0.0 0.0 -7 8 2 2 Fe-58 0.0 0.0 -8 8 2 2 Ni-58 0.0 0.0 -9 8 2 2 Ni-60 0.0 0.0 -10 8 2 2 Ni-61 0.0 0.0 -11 8 2 2 Ni-62 0.0 0.0 -12 8 2 2 Ni-64 0.0 0.0 -13 8 2 2 Mn-55 0.0 0.0 -14 8 2 2 Si-28 0.0 0.0 -15 8 2 2 Si-29 0.0 0.0 -16 8 2 2 Si-30 0.0 0.0 -17 8 2 2 Cr-50 0.0 0.0 -18 8 2 2 Cr-52 0.0 0.0 -19 8 2 2 Cr-53 0.0 0.0 -20 8 2 2 Cr-54 0.0 0.0 material group out nuclide mean std. dev. -21 8 1 H-1 0.0 0.0 -22 8 1 O-16 0.0 0.0 -23 8 1 B-10 0.0 0.0 -24 8 1 B-11 0.0 0.0 -25 8 1 Fe-54 0.0 0.0 -26 8 1 Fe-56 0.0 0.0 -27 8 1 Fe-57 0.0 0.0 -28 8 1 Fe-58 0.0 0.0 -29 8 1 Ni-58 0.0 0.0 -30 8 1 Ni-60 0.0 0.0 -31 8 1 Ni-61 0.0 0.0 -32 8 1 Ni-62 0.0 0.0 -33 8 1 Ni-64 0.0 0.0 -34 8 1 Mn-55 0.0 0.0 -35 8 1 Si-28 0.0 0.0 -36 8 1 Si-29 0.0 0.0 -37 8 1 Si-30 0.0 0.0 -38 8 1 Cr-50 0.0 0.0 -39 8 1 Cr-52 0.0 0.0 -40 8 1 Cr-53 0.0 0.0 -41 8 1 Cr-54 0.0 0.0 -0 8 2 H-1 0.0 0.0 -1 8 2 O-16 0.0 0.0 -2 8 2 B-10 0.0 0.0 -3 8 2 B-11 0.0 0.0 -4 8 2 Fe-54 0.0 0.0 -5 8 2 Fe-56 0.0 0.0 -6 8 2 Fe-57 0.0 0.0 -7 8 2 Fe-58 0.0 0.0 -8 8 2 Ni-58 0.0 0.0 -9 8 2 Ni-60 0.0 0.0 -10 8 2 Ni-61 0.0 0.0 -11 8 2 Ni-62 0.0 0.0 -12 8 2 Ni-64 0.0 0.0 -13 8 2 Mn-55 0.0 0.0 -14 8 2 Si-28 0.0 0.0 -15 8 2 Si-29 0.0 0.0 -16 8 2 Si-30 0.0 0.0 -17 8 2 Cr-50 0.0 0.0 -18 8 2 Cr-52 0.0 0.0 -19 8 2 Cr-53 0.0 0.0 -20 8 2 Cr-54 0.0 0.0 material group in nuclide mean std. dev. -21 9 1 H-1 0.150655 0.480993 -22 9 1 O-16 0.116221 0.114089 -23 9 1 B-10 0.000000 0.000000 -24 9 1 B-11 0.000000 0.000000 -25 9 1 Fe-54 0.000000 0.000000 -26 9 1 Fe-56 0.186217 0.199795 -27 9 1 Fe-57 0.000000 0.000000 -28 9 1 Fe-58 0.000000 0.000000 -29 9 1 Ni-58 0.000000 0.000000 -30 9 1 Ni-60 0.000000 0.000000 -31 9 1 Ni-61 0.000000 0.000000 -32 9 1 Ni-62 0.000000 0.000000 -33 9 1 Ni-64 0.000000 0.000000 -34 9 1 Mn-55 0.000000 0.000000 -35 9 1 Si-28 0.000000 0.000000 -36 9 1 Si-29 0.000000 0.000000 -37 9 1 Si-30 0.000000 0.000000 -38 9 1 Cr-50 0.000000 0.000000 -39 9 1 Cr-52 0.000000 0.000000 -40 9 1 Cr-53 0.147443 0.139574 -41 9 1 Cr-54 0.000000 0.000000 -0 9 2 H-1 0.000000 0.000000 -1 9 2 O-16 0.000000 0.000000 -2 9 2 B-10 0.000000 0.000000 -3 9 2 B-11 0.000000 0.000000 -4 9 2 Fe-54 0.000000 0.000000 -5 9 2 Fe-56 0.000000 0.000000 -6 9 2 Fe-57 0.000000 0.000000 -7 9 2 Fe-58 0.000000 0.000000 -8 9 2 Ni-58 0.000000 0.000000 -9 9 2 Ni-60 0.000000 0.000000 -10 9 2 Ni-61 0.000000 0.000000 -11 9 2 Ni-62 0.000000 0.000000 -12 9 2 Ni-64 0.000000 0.000000 -13 9 2 Mn-55 0.000000 0.000000 -14 9 2 Si-28 0.000000 0.000000 -15 9 2 Si-29 0.000000 0.000000 -16 9 2 Si-30 0.000000 0.000000 -17 9 2 Cr-50 0.000000 0.000000 -18 9 2 Cr-52 0.000000 0.000000 -19 9 2 Cr-53 0.000000 0.000000 -20 9 2 Cr-54 0.000000 0.000000 material group in nuclide mean std. dev. -21 9 1 H-1 0.0 0.0 -22 9 1 O-16 0.0 0.0 -23 9 1 B-10 0.0 0.0 -24 9 1 B-11 0.0 0.0 -25 9 1 Fe-54 0.0 0.0 -26 9 1 Fe-56 0.0 0.0 -27 9 1 Fe-57 0.0 0.0 -28 9 1 Fe-58 0.0 0.0 -29 9 1 Ni-58 0.0 0.0 -30 9 1 Ni-60 0.0 0.0 -31 9 1 Ni-61 0.0 0.0 -32 9 1 Ni-62 0.0 0.0 -33 9 1 Ni-64 0.0 0.0 -34 9 1 Mn-55 0.0 0.0 -35 9 1 Si-28 0.0 0.0 -36 9 1 Si-29 0.0 0.0 -37 9 1 Si-30 0.0 0.0 -38 9 1 Cr-50 0.0 0.0 -39 9 1 Cr-52 0.0 0.0 -40 9 1 Cr-53 0.0 0.0 -41 9 1 Cr-54 0.0 0.0 -0 9 2 H-1 0.0 0.0 -1 9 2 O-16 0.0 0.0 -2 9 2 B-10 0.0 0.0 -3 9 2 B-11 0.0 0.0 -4 9 2 Fe-54 0.0 0.0 -5 9 2 Fe-56 0.0 0.0 -6 9 2 Fe-57 0.0 0.0 -7 9 2 Fe-58 0.0 0.0 -8 9 2 Ni-58 0.0 0.0 -9 9 2 Ni-60 0.0 0.0 -10 9 2 Ni-61 0.0 0.0 -11 9 2 Ni-62 0.0 0.0 -12 9 2 Ni-64 0.0 0.0 -13 9 2 Mn-55 0.0 0.0 -14 9 2 Si-28 0.0 0.0 -15 9 2 Si-29 0.0 0.0 -16 9 2 Si-30 0.0 0.0 -17 9 2 Cr-50 0.0 0.0 -18 9 2 Cr-52 0.0 0.0 -19 9 2 Cr-53 0.0 0.0 -20 9 2 Cr-54 0.0 0.0 material group in group out nuclide mean std. dev. -63 9 1 1 H-1 0.150655 0.480993 -64 9 1 1 O-16 0.116221 0.114089 -65 9 1 1 B-10 0.000000 0.000000 -66 9 1 1 B-11 0.000000 0.000000 -67 9 1 1 Fe-54 0.000000 0.000000 -68 9 1 1 Fe-56 0.186217 0.199795 -69 9 1 1 Fe-57 0.000000 0.000000 -70 9 1 1 Fe-58 0.000000 0.000000 -71 9 1 1 Ni-58 0.000000 0.000000 -72 9 1 1 Ni-60 0.000000 0.000000 -73 9 1 1 Ni-61 0.000000 0.000000 -74 9 1 1 Ni-62 0.000000 0.000000 -75 9 1 1 Ni-64 0.000000 0.000000 -76 9 1 1 Mn-55 0.000000 0.000000 -77 9 1 1 Si-28 0.000000 0.000000 -78 9 1 1 Si-29 0.000000 0.000000 -79 9 1 1 Si-30 0.000000 0.000000 -80 9 1 1 Cr-50 0.000000 0.000000 -81 9 1 1 Cr-52 0.000000 0.000000 -82 9 1 1 Cr-53 0.147443 0.139574 -83 9 1 1 Cr-54 0.000000 0.000000 -42 9 1 2 H-1 0.000000 0.000000 -43 9 1 2 O-16 0.000000 0.000000 -44 9 1 2 B-10 0.000000 0.000000 -45 9 1 2 B-11 0.000000 0.000000 -46 9 1 2 Fe-54 0.000000 0.000000 -47 9 1 2 Fe-56 0.000000 0.000000 -48 9 1 2 Fe-57 0.000000 0.000000 -49 9 1 2 Fe-58 0.000000 0.000000 -50 9 1 2 Ni-58 0.000000 0.000000 -51 9 1 2 Ni-60 0.000000 0.000000 -52 9 1 2 Ni-61 0.000000 0.000000 -53 9 1 2 Ni-62 0.000000 0.000000 -54 9 1 2 Ni-64 0.000000 0.000000 -55 9 1 2 Mn-55 0.000000 0.000000 -56 9 1 2 Si-28 0.000000 0.000000 -57 9 1 2 Si-29 0.000000 0.000000 -58 9 1 2 Si-30 0.000000 0.000000 -59 9 1 2 Cr-50 0.000000 0.000000 -60 9 1 2 Cr-52 0.000000 0.000000 -61 9 1 2 Cr-53 0.000000 0.000000 -62 9 1 2 Cr-54 0.000000 0.000000 -21 9 2 1 H-1 0.000000 0.000000 -22 9 2 1 O-16 0.000000 0.000000 -23 9 2 1 B-10 0.000000 0.000000 -24 9 2 1 B-11 0.000000 0.000000 -25 9 2 1 Fe-54 0.000000 0.000000 -26 9 2 1 Fe-56 0.000000 0.000000 -27 9 2 1 Fe-57 0.000000 0.000000 -28 9 2 1 Fe-58 0.000000 0.000000 -29 9 2 1 Ni-58 0.000000 0.000000 -30 9 2 1 Ni-60 0.000000 0.000000 -31 9 2 1 Ni-61 0.000000 0.000000 -32 9 2 1 Ni-62 0.000000 0.000000 -33 9 2 1 Ni-64 0.000000 0.000000 -34 9 2 1 Mn-55 0.000000 0.000000 -35 9 2 1 Si-28 0.000000 0.000000 -36 9 2 1 Si-29 0.000000 0.000000 -37 9 2 1 Si-30 0.000000 0.000000 -38 9 2 1 Cr-50 0.000000 0.000000 -39 9 2 1 Cr-52 0.000000 0.000000 -40 9 2 1 Cr-53 0.000000 0.000000 -41 9 2 1 Cr-54 0.000000 0.000000 -0 9 2 2 H-1 0.000000 0.000000 -1 9 2 2 O-16 0.000000 0.000000 -2 9 2 2 B-10 0.000000 0.000000 -3 9 2 2 B-11 0.000000 0.000000 -4 9 2 2 Fe-54 0.000000 0.000000 -5 9 2 2 Fe-56 0.000000 0.000000 -6 9 2 2 Fe-57 0.000000 0.000000 -7 9 2 2 Fe-58 0.000000 0.000000 -8 9 2 2 Ni-58 0.000000 0.000000 -9 9 2 2 Ni-60 0.000000 0.000000 -10 9 2 2 Ni-61 0.000000 0.000000 -11 9 2 2 Ni-62 0.000000 0.000000 -12 9 2 2 Ni-64 0.000000 0.000000 -13 9 2 2 Mn-55 0.000000 0.000000 -14 9 2 2 Si-28 0.000000 0.000000 -15 9 2 2 Si-29 0.000000 0.000000 -16 9 2 2 Si-30 0.000000 0.000000 -17 9 2 2 Cr-50 0.000000 0.000000 -18 9 2 2 Cr-52 0.000000 0.000000 -19 9 2 2 Cr-53 0.000000 0.000000 -20 9 2 2 Cr-54 0.000000 0.000000 material group out nuclide mean std. dev. -21 9 1 H-1 0.0 0.0 -22 9 1 O-16 0.0 0.0 -23 9 1 B-10 0.0 0.0 -24 9 1 B-11 0.0 0.0 -25 9 1 Fe-54 0.0 0.0 -26 9 1 Fe-56 0.0 0.0 -27 9 1 Fe-57 0.0 0.0 -28 9 1 Fe-58 0.0 0.0 -29 9 1 Ni-58 0.0 0.0 -30 9 1 Ni-60 0.0 0.0 -31 9 1 Ni-61 0.0 0.0 -32 9 1 Ni-62 0.0 0.0 -33 9 1 Ni-64 0.0 0.0 -34 9 1 Mn-55 0.0 0.0 -35 9 1 Si-28 0.0 0.0 -36 9 1 Si-29 0.0 0.0 -37 9 1 Si-30 0.0 0.0 -38 9 1 Cr-50 0.0 0.0 -39 9 1 Cr-52 0.0 0.0 -40 9 1 Cr-53 0.0 0.0 -41 9 1 Cr-54 0.0 0.0 -0 9 2 H-1 0.0 0.0 -1 9 2 O-16 0.0 0.0 -2 9 2 B-10 0.0 0.0 -3 9 2 B-11 0.0 0.0 -4 9 2 Fe-54 0.0 0.0 -5 9 2 Fe-56 0.0 0.0 -6 9 2 Fe-57 0.0 0.0 -7 9 2 Fe-58 0.0 0.0 -8 9 2 Ni-58 0.0 0.0 -9 9 2 Ni-60 0.0 0.0 -10 9 2 Ni-61 0.0 0.0 -11 9 2 Ni-62 0.0 0.0 -12 9 2 Ni-64 0.0 0.0 -13 9 2 Mn-55 0.0 0.0 -14 9 2 Si-28 0.0 0.0 -15 9 2 Si-29 0.0 0.0 -16 9 2 Si-30 0.0 0.0 -17 9 2 Cr-50 0.0 0.0 -18 9 2 Cr-52 0.0 0.0 -19 9 2 Cr-53 0.0 0.0 -20 9 2 Cr-54 0.0 0.0 material group in nuclide mean std. dev. -21 10 1 H-1 0.123944 0.541390 -22 10 1 O-16 0.000000 0.000000 -23 10 1 B-10 0.000000 0.000000 -24 10 1 B-11 0.000000 0.000000 -25 10 1 Fe-54 0.000000 0.000000 -26 10 1 Fe-56 0.000000 0.000000 -27 10 1 Fe-57 0.000000 0.000000 -28 10 1 Fe-58 0.000000 0.000000 -29 10 1 Ni-58 0.000000 0.000000 -30 10 1 Ni-60 0.000000 0.000000 -31 10 1 Ni-61 0.000000 0.000000 -32 10 1 Ni-62 0.000000 0.000000 -33 10 1 Ni-64 0.000000 0.000000 -34 10 1 Mn-55 0.000000 0.000000 -35 10 1 Si-28 0.000000 0.000000 -36 10 1 Si-29 0.000000 0.000000 -37 10 1 Si-30 0.000000 0.000000 -38 10 1 Cr-50 0.111571 0.138458 -39 10 1 Cr-52 0.000000 0.000000 -40 10 1 Cr-53 0.000000 0.000000 -41 10 1 Cr-54 0.000000 0.000000 -0 10 2 H-1 0.000000 0.000000 -1 10 2 O-16 0.000000 0.000000 -2 10 2 B-10 0.000000 0.000000 -3 10 2 B-11 0.000000 0.000000 -4 10 2 Fe-54 0.000000 0.000000 -5 10 2 Fe-56 0.000000 0.000000 -6 10 2 Fe-57 0.000000 0.000000 -7 10 2 Fe-58 0.000000 0.000000 -8 10 2 Ni-58 0.000000 0.000000 -9 10 2 Ni-60 0.000000 0.000000 -10 10 2 Ni-61 0.000000 0.000000 -11 10 2 Ni-62 0.000000 0.000000 -12 10 2 Ni-64 0.000000 0.000000 -13 10 2 Mn-55 0.000000 0.000000 -14 10 2 Si-28 0.000000 0.000000 -15 10 2 Si-29 0.000000 0.000000 -16 10 2 Si-30 0.000000 0.000000 -17 10 2 Cr-50 0.000000 0.000000 -18 10 2 Cr-52 0.000000 0.000000 -19 10 2 Cr-53 0.000000 0.000000 -20 10 2 Cr-54 0.000000 0.000000 material group in nuclide mean std. dev. -21 10 1 H-1 0.0 0.0 -22 10 1 O-16 0.0 0.0 -23 10 1 B-10 0.0 0.0 -24 10 1 B-11 0.0 0.0 -25 10 1 Fe-54 0.0 0.0 -26 10 1 Fe-56 0.0 0.0 -27 10 1 Fe-57 0.0 0.0 -28 10 1 Fe-58 0.0 0.0 -29 10 1 Ni-58 0.0 0.0 -30 10 1 Ni-60 0.0 0.0 -31 10 1 Ni-61 0.0 0.0 -32 10 1 Ni-62 0.0 0.0 -33 10 1 Ni-64 0.0 0.0 -34 10 1 Mn-55 0.0 0.0 -35 10 1 Si-28 0.0 0.0 -36 10 1 Si-29 0.0 0.0 -37 10 1 Si-30 0.0 0.0 -38 10 1 Cr-50 0.0 0.0 -39 10 1 Cr-52 0.0 0.0 -40 10 1 Cr-53 0.0 0.0 -41 10 1 Cr-54 0.0 0.0 -0 10 2 H-1 0.0 0.0 -1 10 2 O-16 0.0 0.0 -2 10 2 B-10 0.0 0.0 -3 10 2 B-11 0.0 0.0 -4 10 2 Fe-54 0.0 0.0 -5 10 2 Fe-56 0.0 0.0 -6 10 2 Fe-57 0.0 0.0 -7 10 2 Fe-58 0.0 0.0 -8 10 2 Ni-58 0.0 0.0 -9 10 2 Ni-60 0.0 0.0 -10 10 2 Ni-61 0.0 0.0 -11 10 2 Ni-62 0.0 0.0 -12 10 2 Ni-64 0.0 0.0 -13 10 2 Mn-55 0.0 0.0 -14 10 2 Si-28 0.0 0.0 -15 10 2 Si-29 0.0 0.0 -16 10 2 Si-30 0.0 0.0 -17 10 2 Cr-50 0.0 0.0 -18 10 2 Cr-52 0.0 0.0 -19 10 2 Cr-53 0.0 0.0 -20 10 2 Cr-54 0.0 0.0 material group in group out nuclide mean std. dev. -63 10 1 1 H-1 0.123944 0.541390 -64 10 1 1 O-16 0.000000 0.000000 -65 10 1 1 B-10 0.000000 0.000000 -66 10 1 1 B-11 0.000000 0.000000 -67 10 1 1 Fe-54 0.000000 0.000000 -68 10 1 1 Fe-56 0.000000 0.000000 -69 10 1 1 Fe-57 0.000000 0.000000 -70 10 1 1 Fe-58 0.000000 0.000000 -71 10 1 1 Ni-58 0.000000 0.000000 -72 10 1 1 Ni-60 0.000000 0.000000 -73 10 1 1 Ni-61 0.000000 0.000000 -74 10 1 1 Ni-62 0.000000 0.000000 -75 10 1 1 Ni-64 0.000000 0.000000 -76 10 1 1 Mn-55 0.000000 0.000000 -77 10 1 1 Si-28 0.000000 0.000000 -78 10 1 1 Si-29 0.000000 0.000000 -79 10 1 1 Si-30 0.000000 0.000000 -80 10 1 1 Cr-50 0.111571 0.138458 -81 10 1 1 Cr-52 0.000000 0.000000 -82 10 1 1 Cr-53 0.000000 0.000000 -83 10 1 1 Cr-54 0.000000 0.000000 -42 10 1 2 H-1 0.000000 0.000000 -43 10 1 2 O-16 0.000000 0.000000 -44 10 1 2 B-10 0.000000 0.000000 -45 10 1 2 B-11 0.000000 0.000000 -46 10 1 2 Fe-54 0.000000 0.000000 -47 10 1 2 Fe-56 0.000000 0.000000 -48 10 1 2 Fe-57 0.000000 0.000000 -49 10 1 2 Fe-58 0.000000 0.000000 -50 10 1 2 Ni-58 0.000000 0.000000 -51 10 1 2 Ni-60 0.000000 0.000000 -52 10 1 2 Ni-61 0.000000 0.000000 -53 10 1 2 Ni-62 0.000000 0.000000 -54 10 1 2 Ni-64 0.000000 0.000000 -55 10 1 2 Mn-55 0.000000 0.000000 -56 10 1 2 Si-28 0.000000 0.000000 -57 10 1 2 Si-29 0.000000 0.000000 -58 10 1 2 Si-30 0.000000 0.000000 -59 10 1 2 Cr-50 0.000000 0.000000 -60 10 1 2 Cr-52 0.000000 0.000000 -61 10 1 2 Cr-53 0.000000 0.000000 -62 10 1 2 Cr-54 0.000000 0.000000 -21 10 2 1 H-1 0.000000 0.000000 -22 10 2 1 O-16 0.000000 0.000000 -23 10 2 1 B-10 0.000000 0.000000 -24 10 2 1 B-11 0.000000 0.000000 -25 10 2 1 Fe-54 0.000000 0.000000 -26 10 2 1 Fe-56 0.000000 0.000000 -27 10 2 1 Fe-57 0.000000 0.000000 -28 10 2 1 Fe-58 0.000000 0.000000 -29 10 2 1 Ni-58 0.000000 0.000000 -30 10 2 1 Ni-60 0.000000 0.000000 -31 10 2 1 Ni-61 0.000000 0.000000 -32 10 2 1 Ni-62 0.000000 0.000000 -33 10 2 1 Ni-64 0.000000 0.000000 -34 10 2 1 Mn-55 0.000000 0.000000 -35 10 2 1 Si-28 0.000000 0.000000 -36 10 2 1 Si-29 0.000000 0.000000 -37 10 2 1 Si-30 0.000000 0.000000 -38 10 2 1 Cr-50 0.000000 0.000000 -39 10 2 1 Cr-52 0.000000 0.000000 -40 10 2 1 Cr-53 0.000000 0.000000 -41 10 2 1 Cr-54 0.000000 0.000000 -0 10 2 2 H-1 0.000000 0.000000 -1 10 2 2 O-16 0.000000 0.000000 -2 10 2 2 B-10 0.000000 0.000000 -3 10 2 2 B-11 0.000000 0.000000 -4 10 2 2 Fe-54 0.000000 0.000000 -5 10 2 2 Fe-56 0.000000 0.000000 -6 10 2 2 Fe-57 0.000000 0.000000 -7 10 2 2 Fe-58 0.000000 0.000000 -8 10 2 2 Ni-58 0.000000 0.000000 -9 10 2 2 Ni-60 0.000000 0.000000 -10 10 2 2 Ni-61 0.000000 0.000000 -11 10 2 2 Ni-62 0.000000 0.000000 -12 10 2 2 Ni-64 0.000000 0.000000 -13 10 2 2 Mn-55 0.000000 0.000000 -14 10 2 2 Si-28 0.000000 0.000000 -15 10 2 2 Si-29 0.000000 0.000000 -16 10 2 2 Si-30 0.000000 0.000000 -17 10 2 2 Cr-50 0.000000 0.000000 -18 10 2 2 Cr-52 0.000000 0.000000 -19 10 2 2 Cr-53 0.000000 0.000000 -20 10 2 2 Cr-54 0.000000 0.000000 material group out nuclide mean std. dev. -21 10 1 H-1 0.0 0.0 -22 10 1 O-16 0.0 0.0 -23 10 1 B-10 0.0 0.0 -24 10 1 B-11 0.0 0.0 -25 10 1 Fe-54 0.0 0.0 -26 10 1 Fe-56 0.0 0.0 -27 10 1 Fe-57 0.0 0.0 -28 10 1 Fe-58 0.0 0.0 -29 10 1 Ni-58 0.0 0.0 -30 10 1 Ni-60 0.0 0.0 -31 10 1 Ni-61 0.0 0.0 -32 10 1 Ni-62 0.0 0.0 -33 10 1 Ni-64 0.0 0.0 -34 10 1 Mn-55 0.0 0.0 -35 10 1 Si-28 0.0 0.0 -36 10 1 Si-29 0.0 0.0 -37 10 1 Si-30 0.0 0.0 -38 10 1 Cr-50 0.0 0.0 -39 10 1 Cr-52 0.0 0.0 -40 10 1 Cr-53 0.0 0.0 -41 10 1 Cr-54 0.0 0.0 -0 10 2 H-1 0.0 0.0 -1 10 2 O-16 0.0 0.0 -2 10 2 B-10 0.0 0.0 -3 10 2 B-11 0.0 0.0 -4 10 2 Fe-54 0.0 0.0 -5 10 2 Fe-56 0.0 0.0 -6 10 2 Fe-57 0.0 0.0 -7 10 2 Fe-58 0.0 0.0 -8 10 2 Ni-58 0.0 0.0 -9 10 2 Ni-60 0.0 0.0 -10 10 2 Ni-61 0.0 0.0 -11 10 2 Ni-62 0.0 0.0 -12 10 2 Ni-64 0.0 0.0 -13 10 2 Mn-55 0.0 0.0 -14 10 2 Si-28 0.0 0.0 -15 10 2 Si-29 0.0 0.0 -16 10 2 Si-30 0.0 0.0 -17 10 2 Cr-50 0.0 0.0 -18 10 2 Cr-52 0.0 0.0 -19 10 2 Cr-53 0.0 0.0 -20 10 2 Cr-54 0.0 0.0 material group in nuclide mean std. dev. -9 11 1 H-1 0.131470 0.476035 -10 11 1 O-16 0.028684 0.043000 -11 11 1 B-10 0.000000 0.000000 -12 11 1 B-11 0.000000 0.000000 -13 11 1 Zr-90 0.021980 0.039963 -14 11 1 Zr-91 0.000000 0.000000 -15 11 1 Zr-92 0.000000 0.000000 -16 11 1 Zr-94 0.004191 0.087344 -17 11 1 Zr-96 0.000000 0.000000 -0 11 2 H-1 0.687243 1.239217 -1 11 2 O-16 0.000000 0.000000 -2 11 2 B-10 0.042902 0.060672 -3 11 2 B-11 0.000000 0.000000 -4 11 2 Zr-90 0.039576 0.105193 -5 11 2 Zr-91 0.000000 0.000000 -6 11 2 Zr-92 0.084226 0.103161 -7 11 2 Zr-94 0.092039 0.125985 -8 11 2 Zr-96 0.000000 0.000000 material group in nuclide mean std. dev. -9 11 1 H-1 0.0 0.0 -10 11 1 O-16 0.0 0.0 -11 11 1 B-10 0.0 0.0 -12 11 1 B-11 0.0 0.0 -13 11 1 Zr-90 0.0 0.0 -14 11 1 Zr-91 0.0 0.0 -15 11 1 Zr-92 0.0 0.0 -16 11 1 Zr-94 0.0 0.0 -17 11 1 Zr-96 0.0 0.0 -0 11 2 H-1 0.0 0.0 -1 11 2 O-16 0.0 0.0 -2 11 2 B-10 0.0 0.0 -3 11 2 B-11 0.0 0.0 -4 11 2 Zr-90 0.0 0.0 -5 11 2 Zr-91 0.0 0.0 -6 11 2 Zr-92 0.0 0.0 -7 11 2 Zr-94 0.0 0.0 -8 11 2 Zr-96 0.0 0.0 material group in group out nuclide mean std. dev. -27 11 1 1 H-1 0.099594 0.442578 -28 11 1 1 O-16 0.028684 0.043000 -29 11 1 1 B-10 0.000000 0.000000 -30 11 1 1 B-11 0.000000 0.000000 -31 11 1 1 Zr-90 0.021980 0.039963 -32 11 1 1 Zr-91 0.000000 0.000000 -33 11 1 1 Zr-92 0.000000 0.000000 -34 11 1 1 Zr-94 0.004191 0.087344 -35 11 1 1 Zr-96 0.000000 0.000000 -18 11 1 2 H-1 0.031875 0.045078 -19 11 1 2 O-16 0.000000 0.000000 -20 11 1 2 B-10 0.000000 0.000000 -21 11 1 2 B-11 0.000000 0.000000 -22 11 1 2 Zr-90 0.000000 0.000000 -23 11 1 2 Zr-91 0.000000 0.000000 -24 11 1 2 Zr-92 0.000000 0.000000 -25 11 1 2 Zr-94 0.000000 0.000000 -26 11 1 2 Zr-96 0.000000 0.000000 -9 11 2 1 H-1 0.000000 0.000000 -10 11 2 1 O-16 0.000000 0.000000 -11 11 2 1 B-10 0.000000 0.000000 -12 11 2 1 B-11 0.000000 0.000000 -13 11 2 1 Zr-90 0.000000 0.000000 -14 11 2 1 Zr-91 0.000000 0.000000 -15 11 2 1 Zr-92 0.000000 0.000000 -16 11 2 1 Zr-94 0.000000 0.000000 -17 11 2 1 Zr-96 0.000000 0.000000 -0 11 2 2 H-1 0.687243 1.239217 -1 11 2 2 O-16 0.000000 0.000000 -2 11 2 2 B-10 0.000000 0.000000 -3 11 2 2 B-11 0.000000 0.000000 -4 11 2 2 Zr-90 0.039576 0.105193 -5 11 2 2 Zr-91 0.000000 0.000000 -6 11 2 2 Zr-92 0.084226 0.103161 -7 11 2 2 Zr-94 0.092039 0.125985 -8 11 2 2 Zr-96 0.000000 0.000000 material group out nuclide mean std. dev. -9 11 1 H-1 0.0 0.0 -10 11 1 O-16 0.0 0.0 -11 11 1 B-10 0.0 0.0 -12 11 1 B-11 0.0 0.0 -13 11 1 Zr-90 0.0 0.0 -14 11 1 Zr-91 0.0 0.0 -15 11 1 Zr-92 0.0 0.0 -16 11 1 Zr-94 0.0 0.0 -17 11 1 Zr-96 0.0 0.0 -0 11 2 H-1 0.0 0.0 -1 11 2 O-16 0.0 0.0 -2 11 2 B-10 0.0 0.0 -3 11 2 B-11 0.0 0.0 -4 11 2 Zr-90 0.0 0.0 -5 11 2 Zr-91 0.0 0.0 -6 11 2 Zr-92 0.0 0.0 -7 11 2 Zr-94 0.0 0.0 -8 11 2 Zr-96 0.0 0.0 material group in nuclide mean std. dev. -9 12 1 H-1 0.098944 0.178543 -10 12 1 O-16 0.013270 0.020403 -11 12 1 B-10 0.000000 0.000000 -12 12 1 B-11 0.000000 0.000000 -13 12 1 Zr-90 0.089997 0.075538 -14 12 1 Zr-91 0.000000 0.000000 -15 12 1 Zr-92 0.003501 0.017031 -16 12 1 Zr-94 0.004850 0.016327 -17 12 1 Zr-96 0.002730 0.017476 -0 12 2 H-1 1.261686 1.980336 -1 12 2 O-16 0.079159 0.104796 -2 12 2 B-10 0.016928 0.023940 -3 12 2 B-11 0.000000 0.000000 -4 12 2 Zr-90 0.000000 0.000000 -5 12 2 Zr-91 0.033201 0.040665 -6 12 2 Zr-92 0.000000 0.000000 -7 12 2 Zr-94 0.000000 0.000000 -8 12 2 Zr-96 0.000000 0.000000 material group in nuclide mean std. dev. -9 12 1 H-1 0.0 0.0 -10 12 1 O-16 0.0 0.0 -11 12 1 B-10 0.0 0.0 -12 12 1 B-11 0.0 0.0 -13 12 1 Zr-90 0.0 0.0 -14 12 1 Zr-91 0.0 0.0 -15 12 1 Zr-92 0.0 0.0 -16 12 1 Zr-94 0.0 0.0 -17 12 1 Zr-96 0.0 0.0 -0 12 2 H-1 0.0 0.0 -1 12 2 O-16 0.0 0.0 -2 12 2 B-10 0.0 0.0 -3 12 2 B-11 0.0 0.0 -4 12 2 Zr-90 0.0 0.0 -5 12 2 Zr-91 0.0 0.0 -6 12 2 Zr-92 0.0 0.0 -7 12 2 Zr-94 0.0 0.0 -8 12 2 Zr-96 0.0 0.0 material group in group out nuclide mean std. dev. -27 12 1 1 H-1 0.071704 0.167588 -28 12 1 1 O-16 0.013270 0.020403 -29 12 1 1 B-10 0.000000 0.000000 -30 12 1 1 B-11 0.000000 0.000000 -31 12 1 1 Zr-90 0.089997 0.075538 -32 12 1 1 Zr-91 0.000000 0.000000 -33 12 1 1 Zr-92 0.003501 0.017031 -34 12 1 1 Zr-94 0.004850 0.016327 -35 12 1 1 Zr-96 0.002730 0.017476 -18 12 1 2 H-1 0.027240 0.029555 -19 12 1 2 O-16 0.000000 0.000000 -20 12 1 2 B-10 0.000000 0.000000 -21 12 1 2 B-11 0.000000 0.000000 -22 12 1 2 Zr-90 0.000000 0.000000 -23 12 1 2 Zr-91 0.000000 0.000000 -24 12 1 2 Zr-92 0.000000 0.000000 -25 12 1 2 Zr-94 0.000000 0.000000 -26 12 1 2 Zr-96 0.000000 0.000000 -9 12 2 1 H-1 0.000000 0.000000 -10 12 2 1 O-16 0.000000 0.000000 -11 12 2 1 B-10 0.000000 0.000000 -12 12 2 1 B-11 0.000000 0.000000 -13 12 2 1 Zr-90 0.000000 0.000000 -14 12 2 1 Zr-91 0.000000 0.000000 -15 12 2 1 Zr-92 0.000000 0.000000 -16 12 2 1 Zr-94 0.000000 0.000000 -17 12 2 1 Zr-96 0.000000 0.000000 -0 12 2 2 H-1 1.244758 1.956675 -1 12 2 2 O-16 0.079159 0.104796 -2 12 2 2 B-10 0.000000 0.000000 -3 12 2 2 B-11 0.000000 0.000000 -4 12 2 2 Zr-90 0.000000 0.000000 -5 12 2 2 Zr-91 0.033201 0.040665 -6 12 2 2 Zr-92 0.000000 0.000000 -7 12 2 2 Zr-94 0.000000 0.000000 -8 12 2 2 Zr-96 0.000000 0.000000 material group out nuclide mean std. dev. -9 12 1 H-1 0.0 0.0 -10 12 1 O-16 0.0 0.0 -11 12 1 B-10 0.0 0.0 -12 12 1 B-11 0.0 0.0 -13 12 1 Zr-90 0.0 0.0 -14 12 1 Zr-91 0.0 0.0 -15 12 1 Zr-92 0.0 0.0 -16 12 1 Zr-94 0.0 0.0 -17 12 1 Zr-96 0.0 0.0 -0 12 2 H-1 0.0 0.0 -1 12 2 O-16 0.0 0.0 -2 12 2 B-10 0.0 0.0 -3 12 2 B-11 0.0 0.0 -4 12 2 Zr-90 0.0 0.0 -5 12 2 Zr-91 0.0 0.0 -6 12 2 Zr-92 0.0 0.0 -7 12 2 Zr-94 0.0 0.0 -8 12 2 Zr-96 0.0 0.0 \ No newline at end of file +1ee58383dc8ac46c5e0d72321cbc34b0dba531435d5e0e632cbbf9572eb7d669c8c8ad9f370345325afa0bdeb2f818b0f5204b7c4a7c4aaf58ded7acbd715ef8 \ No newline at end of file diff --git a/tests/test_mgxs_library_nuclides/test_mgxs_library_nuclides.py b/tests/test_mgxs_library_nuclides/test_mgxs_library_nuclides.py index 113f2aa41..47c1ec60a 100644 --- a/tests/test_mgxs_library_nuclides/test_mgxs_library_nuclides.py +++ b/tests/test_mgxs_library_nuclides/test_mgxs_library_nuclides.py @@ -28,6 +28,7 @@ class MGXSTestHarness(PyAPITestHarness): self.mgxs_lib.mgxs_types = ['transport', 'nu-fission', 'nu-scatter matrix', 'chi'] self.mgxs_lib.energy_groups = energy_groups + self.mgxs_lib.legendre_order = 3 self.mgxs_lib.domain_type = 'material' self.mgxs_lib.build_library() @@ -36,7 +37,7 @@ class MGXSTestHarness(PyAPITestHarness): self.mgxs_lib.add_to_tallies_file(self._input_set.tallies, merge=False) self._input_set.tallies.export_to_xml() - def _get_results(self, hash_output=False): + def _get_results(self, hash_output=True): """Digest info in the statepoint and return as a string.""" # Read the statepoint file.