From 7d01622403cd536e32bf45574ddf7210bba87854 Mon Sep 17 00:00:00 2001 From: Paul Romano Date: Tue, 21 Feb 2017 21:07:01 -0600 Subject: [PATCH] Update two Jupyter notebooks --- .../pythonapi/examples/mgxs-part-ii.ipynb | 1562 +++++++++-------- .../pythonapi/examples/mgxs-part-iii.ipynb | 484 ++--- 2 files changed, 1029 insertions(+), 1017 deletions(-) diff --git a/docs/source/pythonapi/examples/mgxs-part-ii.ipynb b/docs/source/pythonapi/examples/mgxs-part-ii.ipynb index bab3b6bfc..5e48244b7 100644 --- a/docs/source/pythonapi/examples/mgxs-part-ii.ipynb +++ b/docs/source/pythonapi/examples/mgxs-part-ii.ipynb @@ -34,7 +34,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/usr/lib/python3.6/site-packages/matplotlib/__init__.py:1401: UserWarning: This call to matplotlib.use() has no effect\n", + "/home/romano/miniconda3/envs/python3/lib/python3.5/site-packages/matplotlib/__init__.py:1401: 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", @@ -46,7 +46,7 @@ "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", + "plt.style.use('seaborn-dark')\n", "\n", "import openmoc\n", "from openmoc.opencg_compatible import get_openmoc_geometry\n", @@ -54,6 +54,7 @@ "import openmc\n", "import openmc.mgxs as mgxs\n", "import openmc.data\n", + "from openmc.opencg_compatible import get_opencg_geometry\n", "\n", "%matplotlib inline" ] @@ -453,9 +454,9 @@ " Copyright | 2011-2017 Massachusetts Institute of Technology\n", " License | http://openmc.readthedocs.io/en/latest/license.html\n", " Version | 0.8.0\n", - " Git SHA1 | 54b65c8bda6af5788bd762b8cf9855d1a8008238\n", - " Date/Time | 2017-02-12 13:37:37\n", - " OpenMP Threads | 8\n", + " Git SHA1 | dfc6f1d9bf1b31fc94dad1cb30bd672b25f47e04\n", + " Date/Time | 2017-02-21 15:07:51\n", + " OpenMP Threads | 4\n", "\n", " ===========================================================================\n", " ========================> INITIALIZATION <=========================\n", @@ -465,11 +466,11 @@ " Reading geometry XML file...\n", " Reading materials XML file...\n", " Reading cross sections XML file...\n", - " Reading U235 from /opt/xsdata/nndc/U235.h5\n", - " Reading U238 from /opt/xsdata/nndc/U238.h5\n", - " Reading O16 from /opt/xsdata/nndc/O16.h5\n", - " Reading H1 from /opt/xsdata/nndc/H1.h5\n", - " Reading Zr90 from /opt/xsdata/nndc/Zr90.h5\n", + " Reading U235 from /home/romano/openmc/scripts/nndc_hdf5/U235.h5\n", + " Reading U238 from /home/romano/openmc/scripts/nndc_hdf5/U238.h5\n", + " Reading O16 from /home/romano/openmc/scripts/nndc_hdf5/O16.h5\n", + " Reading H1 from /home/romano/openmc/scripts/nndc_hdf5/H1.h5\n", + " Reading Zr90 from /home/romano/openmc/scripts/nndc_hdf5/Zr90.h5\n", " Maximum neutron transport energy: 2.00000E+07 eV for U235\n", " Reading tallies XML file...\n", " Building neighboring cells lists for each surface...\n", @@ -483,85 +484,93 @@ " ========= ======== ==================== \n", " 1/1 1.20332 \n", " 2/1 1.22209 \n", - " 3/1 1.24309 \n", - " 4/1 1.22833 \n", - " 5/1 1.21786 \n", - " 6/1 1.22005 \n", - " 7/1 1.20894 \n", - " 8/1 1.22071 \n", - " 9/1 1.21279 \n", - " 10/1 1.22198 \n", - " 11/1 1.22287 \n", - " 12/1 1.25490 1.23888 +/- 0.01602\n", - " 13/1 1.20224 1.22667 +/- 0.01532\n", - " 14/1 1.23375 1.22844 +/- 0.01098\n", - " 15/1 1.23068 1.22889 +/- 0.00851\n", - " 16/1 1.23073 1.22920 +/- 0.00696\n", - " 17/1 1.25364 1.23269 +/- 0.00684\n", - " 18/1 1.20820 1.22963 +/- 0.00667\n", - " 19/1 1.23138 1.22982 +/- 0.00588\n", - " 20/1 1.20682 1.22752 +/- 0.00574\n", - " 21/1 1.23580 1.22827 +/- 0.00525\n", - " 22/1 1.24190 1.22941 +/- 0.00492\n", - " 23/1 1.23125 1.22955 +/- 0.00453\n", - " 24/1 1.21606 1.22859 +/- 0.00430\n", - " 25/1 1.23653 1.22912 +/- 0.00404\n", - " 26/1 1.23850 1.22970 +/- 0.00383\n", - " 27/1 1.20986 1.22853 +/- 0.00378\n", - " 28/1 1.25277 1.22988 +/- 0.00381\n", - " 29/1 1.23334 1.23006 +/- 0.00361\n", - " 30/1 1.24345 1.23073 +/- 0.00349\n", - " 31/1 1.21565 1.23001 +/- 0.00339\n", - " 32/1 1.20555 1.22890 +/- 0.00342\n", - " 33/1 1.22995 1.22895 +/- 0.00327\n", - " 34/1 1.19763 1.22764 +/- 0.00339\n", - " 35/1 1.22645 1.22760 +/- 0.00325\n", - " 36/1 1.23900 1.22803 +/- 0.00316\n", - " 37/1 1.24305 1.22859 +/- 0.00309\n", - " 38/1 1.22484 1.22846 +/- 0.00298\n", - " 39/1 1.20986 1.22782 +/- 0.00294\n", - " 40/1 1.23764 1.22814 +/- 0.00286\n", - " 41/1 1.20476 1.22739 +/- 0.00287\n", - " 42/1 1.21652 1.22705 +/- 0.00280\n", - " 43/1 1.21279 1.22662 +/- 0.00275\n", - " 44/1 1.20210 1.22590 +/- 0.00276\n", - " 45/1 1.22644 1.22591 +/- 0.00268\n", - " 46/1 1.22907 1.22600 +/- 0.00261\n", - " 47/1 1.24057 1.22639 +/- 0.00257\n", - " 48/1 1.21610 1.22612 +/- 0.00251\n", - " 49/1 1.22199 1.22602 +/- 0.00245\n", - " 50/1 1.20860 1.22558 +/- 0.00243\n", - " Triggers unsatisfied, max unc./thresh. is 1.25496 for flux in tally 10050\n", - " The estimated number of batches is 73\n", + " 3/1 1.24322 \n", + " 4/1 1.21622 \n", + " 5/1 1.25850 \n", + " 6/1 1.22581 \n", + " 7/1 1.21118 \n", + " 8/1 1.23377 \n", + " 9/1 1.24254 \n", + " 10/1 1.21241 \n", + " 11/1 1.21042 \n", + " 12/1 1.23539 1.22290 +/- 0.01249\n", + " 13/1 1.22436 1.22339 +/- 0.00723\n", + " 14/1 1.22888 1.22476 +/- 0.00529\n", + " 15/1 1.22553 1.22491 +/- 0.00410\n", + " 16/1 1.24194 1.22775 +/- 0.00439\n", + " 17/1 1.24755 1.23058 +/- 0.00466\n", + " 18/1 1.21117 1.22815 +/- 0.00471\n", + " 19/1 1.22530 1.22784 +/- 0.00417\n", + " 20/1 1.20762 1.22582 +/- 0.00424\n", + " 21/1 1.20377 1.22381 +/- 0.00433\n", + " 22/1 1.24305 1.22541 +/- 0.00426\n", + " 23/1 1.22434 1.22533 +/- 0.00392\n", + " 24/1 1.22937 1.22562 +/- 0.00364\n", + " 25/1 1.22458 1.22555 +/- 0.00339\n", + " 26/1 1.18978 1.22332 +/- 0.00388\n", + " 27/1 1.20582 1.22229 +/- 0.00379\n", + " 28/1 1.22719 1.22256 +/- 0.00358\n", + " 29/1 1.21307 1.22206 +/- 0.00343\n", + " 30/1 1.20915 1.22141 +/- 0.00331\n", + " 31/1 1.22799 1.22173 +/- 0.00317\n", + " 32/1 1.21251 1.22131 +/- 0.00305\n", + " 33/1 1.20540 1.22062 +/- 0.00299\n", + " 34/1 1.20052 1.21978 +/- 0.00299\n", + " 35/1 1.24552 1.22081 +/- 0.00304\n", + " 36/1 1.21685 1.22066 +/- 0.00293\n", + " 37/1 1.22395 1.22078 +/- 0.00282\n", + " 38/1 1.22379 1.22089 +/- 0.00272\n", + " 39/1 1.20951 1.22049 +/- 0.00265\n", + " 40/1 1.25199 1.22154 +/- 0.00277\n", + " 41/1 1.23243 1.22190 +/- 0.00270\n", + " 42/1 1.20973 1.22152 +/- 0.00264\n", + " 43/1 1.24682 1.22228 +/- 0.00268\n", + " 44/1 1.20694 1.22183 +/- 0.00263\n", + " 45/1 1.22196 1.22183 +/- 0.00256\n", + " 46/1 1.20687 1.22142 +/- 0.00252\n", + " 47/1 1.22023 1.22139 +/- 0.00245\n", + " 48/1 1.22204 1.22140 +/- 0.00239\n", + " 49/1 1.22077 1.22139 +/- 0.00232\n", + " 50/1 1.23166 1.22164 +/- 0.00228\n", + " Triggers unsatisfied, max unc./thresh. is 1.17623 for flux in tally 10057\n", + " The estimated number of batches is 66\n", " Creating state point statepoint.050.h5...\n", - " 51/1 1.21850 1.22541 +/- 0.00237\n", - " 52/1 1.22833 1.22548 +/- 0.00232\n", - " 53/1 1.20239 1.22494 +/- 0.00233\n", - " 54/1 1.24876 1.22548 +/- 0.00234\n", - " 55/1 1.20670 1.22506 +/- 0.00232\n", - " 56/1 1.24260 1.22545 +/- 0.00230\n", - " 57/1 1.21039 1.22512 +/- 0.00228\n", - " 58/1 1.23929 1.22542 +/- 0.00225\n", - " 59/1 1.21357 1.22518 +/- 0.00221\n", - " 60/1 1.23456 1.22537 +/- 0.00218\n", - " 61/1 1.23963 1.22565 +/- 0.00215\n", - " 62/1 1.24020 1.22593 +/- 0.00213\n", - " 63/1 1.22325 1.22587 +/- 0.00209\n", - " 64/1 1.22070 1.22578 +/- 0.00205\n", - " 65/1 1.22423 1.22575 +/- 0.00201\n", - " 66/1 1.22973 1.22582 +/- 0.00198\n", - " 67/1 1.21842 1.22569 +/- 0.00195\n", - " 68/1 1.19552 1.22517 +/- 0.00198\n", - " 69/1 1.21475 1.22500 +/- 0.00196\n", - " 70/1 1.21888 1.22489 +/- 0.00193\n", - " 71/1 1.19720 1.22444 +/- 0.00195\n", - " 72/1 1.23770 1.22465 +/- 0.00193\n", - " 73/1 1.23894 1.22488 +/- 0.00191\n", - " Triggers unsatisfied, max unc./thresh. is 1.00243 for flux in tally 10050\n", - " The estimated number of batches is 74\n", - " 74/1 1.22437 1.22487 +/- 0.00188\n", - " Triggers satisfied for batch 74\n", - " Creating state point statepoint.074.h5...\n", + " 51/1 1.20071 1.22113 +/- 0.00228\n", + " 52/1 1.21423 1.22097 +/- 0.00223\n", + " 53/1 1.25595 1.22178 +/- 0.00233\n", + " 54/1 1.21806 1.22170 +/- 0.00227\n", + " 55/1 1.22911 1.22186 +/- 0.00223\n", + " 56/1 1.23054 1.22205 +/- 0.00219\n", + " 57/1 1.19384 1.22145 +/- 0.00222\n", + " 58/1 1.20625 1.22114 +/- 0.00220\n", + " 59/1 1.21977 1.22111 +/- 0.00216\n", + " 60/1 1.20813 1.22085 +/- 0.00213\n", + " 61/1 1.22077 1.22085 +/- 0.00209\n", + " 62/1 1.21956 1.22082 +/- 0.00205\n", + " 63/1 1.22360 1.22087 +/- 0.00201\n", + " 64/1 1.23955 1.22122 +/- 0.00200\n", + " 65/1 1.21143 1.22104 +/- 0.00197\n", + " 66/1 1.21791 1.22099 +/- 0.00194\n", + " Triggers unsatisfied, max unc./thresh. is 1.13207 for flux in tally 10057\n", + " The estimated number of batches is 82\n", + " 67/1 1.24897 1.22148 +/- 0.00196\n", + " 68/1 1.22221 1.22149 +/- 0.00193\n", + " 69/1 1.25627 1.22208 +/- 0.00199\n", + " 70/1 1.21493 1.22196 +/- 0.00196\n", + " 71/1 1.23406 1.22216 +/- 0.00193\n", + " 72/1 1.23842 1.22242 +/- 0.00192\n", + " 73/1 1.24542 1.22279 +/- 0.00193\n", + " 74/1 1.21314 1.22263 +/- 0.00190\n", + " 75/1 1.26484 1.22328 +/- 0.00198\n", + " 76/1 1.22243 1.22327 +/- 0.00195\n", + " 77/1 1.21865 1.22320 +/- 0.00192\n", + " 78/1 1.23500 1.22338 +/- 0.00190\n", + " 79/1 1.22125 1.22334 +/- 0.00187\n", + " 80/1 1.23793 1.22355 +/- 0.00186\n", + " 81/1 1.24238 1.22382 +/- 0.00185\n", + " 82/1 1.23493 1.22397 +/- 0.00183\n", + " Triggers satisfied for batch 82\n", + " Creating state point statepoint.082.h5...\n", "\n", " ===========================================================================\n", " ======================> SIMULATION FINISHED <======================\n", @@ -570,27 +579,27 @@ "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", - " Total time for initialization = 3.4833E-01 seconds\n", - " Reading cross sections = 2.2326E-01 seconds\n", - " Total time in simulation = 3.0446E+01 seconds\n", - " Time in transport only = 2.9495E+01 seconds\n", - " Time in inactive batches = 1.6469E+00 seconds\n", - " Time in active batches = 2.8800E+01 seconds\n", - " Time synchronizing fission bank = 1.5962E-02 seconds\n", - " Sampling source sites = 1.1235E-02 seconds\n", - " SEND/RECV source sites = 4.6646E-03 seconds\n", - " Time accumulating tallies = 4.9838E-04 seconds\n", - " Total time for finalization = 1.5461E-02 seconds\n", - " Total time elapsed = 3.0842E+01 seconds\n", - " Calculation Rate (inactive) = 60719.1 neutrons/second\n", - " Calculation Rate (active) = 13889.1 neutrons/second\n", + " Total time for initialization = 3.6241E-01 seconds\n", + " Reading cross sections = 2.5754E-01 seconds\n", + " Total time in simulation = 9.0901E+01 seconds\n", + " Time in transport only = 9.0045E+01 seconds\n", + " Time in inactive batches = 2.9786E+00 seconds\n", + " Time in active batches = 8.7923E+01 seconds\n", + " Time synchronizing fission bank = 2.7221E-02 seconds\n", + " Sampling source sites = 1.6637E-02 seconds\n", + " SEND/RECV source sites = 1.0474E-02 seconds\n", + " Time accumulating tallies = 9.2191E-04 seconds\n", + " Total time for finalization = 1.2513E-02 seconds\n", + " Total time elapsed = 9.1307E+01 seconds\n", + " Calculation Rate (inactive) = 33572.9 neutrons/second\n", + " Calculation Rate (active) = 4549.45 neutrons/second\n", "\n", " ============================> RESULTS <============================\n", "\n", - " k-effective (Collision) = 1.22358 +/- 0.00179\n", - " k-effective (Track-length) = 1.22487 +/- 0.00188\n", - " k-effective (Absorption) = 1.22300 +/- 0.00114\n", - " Combined k-effective = 1.22347 +/- 0.00106\n", + " k-effective (Collision) = 1.22348 +/- 0.00169\n", + " k-effective (Track-length) = 1.22397 +/- 0.00183\n", + " k-effective (Absorption) = 1.22467 +/- 0.00117\n", + " Combined k-effective = 1.22448 +/- 0.00108\n", " Leakage Fraction = 0.00000 +/- 0.00000\n", "\n" ] @@ -634,7 +643,7 @@ "outputs": [], "source": [ "# Load the last statepoint file\n", - "sp = openmc.StatePoint('statepoint.074.h5')" + "sp = openmc.StatePoint('statepoint.082.h5')" ] }, { @@ -696,25 +705,25 @@ "\tDomain ID =\t10000\n", "\tNuclide =\tU235\n", "\tCross Sections [barns]:\n", - " Group 1 [821000.0 - 20000000.0eV]:\t3.30e+00 +/- 2.19e-01%\n", - " Group 2 [5530.0 - 821000.0 eV]:\t3.96e+00 +/- 1.32e-01%\n", - " Group 3 [4.0 - 5530.0 eV]:\t5.52e+01 +/- 2.31e-01%\n", - " Group 4 [0.625 - 4.0 eV]:\t8.83e+01 +/- 2.96e-01%\n", - " Group 5 [0.28 - 0.625 eV]:\t2.90e+02 +/- 4.64e-01%\n", - " Group 6 [0.14 - 0.28 eV]:\t4.49e+02 +/- 4.22e-01%\n", - " Group 7 [0.058 - 0.14 eV]:\t6.87e+02 +/- 2.97e-01%\n", - " Group 8 [0.0 - 0.058 eV]:\t1.44e+03 +/- 2.91e-01%\n", + " Group 1 [821000.0 - 20000000.0eV]:\t3.30e+00 +/- 2.14e-01%\n", + " Group 2 [5530.0 - 821000.0 eV]:\t3.96e+00 +/- 1.33e-01%\n", + " Group 3 [4.0 - 5530.0 eV]:\t5.50e+01 +/- 2.29e-01%\n", + " Group 4 [0.625 - 4.0 eV]:\t8.85e+01 +/- 3.10e-01%\n", + " Group 5 [0.28 - 0.625 eV]:\t2.90e+02 +/- 3.94e-01%\n", + " Group 6 [0.14 - 0.28 eV]:\t4.49e+02 +/- 4.12e-01%\n", + " Group 7 [0.058 - 0.14 eV]:\t6.87e+02 +/- 3.01e-01%\n", + " Group 8 [0.0 - 0.058 eV]:\t1.44e+03 +/- 2.79e-01%\n", "\n", "\tNuclide =\tU238\n", "\tCross Sections [barns]:\n", - " Group 1 [821000.0 - 20000000.0eV]:\t1.06e+00 +/- 2.56e-01%\n", - " Group 2 [5530.0 - 821000.0 eV]:\t1.21e-03 +/- 2.55e-01%\n", - " Group 3 [4.0 - 5530.0 eV]:\t5.77e-04 +/- 3.67e+00%\n", - " Group 4 [0.625 - 4.0 eV]:\t6.54e-06 +/- 2.74e-01%\n", - " Group 5 [0.28 - 0.625 eV]:\t1.07e-05 +/- 4.55e-01%\n", - " Group 6 [0.14 - 0.28 eV]:\t1.55e-05 +/- 4.25e-01%\n", - " Group 7 [0.058 - 0.14 eV]:\t2.30e-05 +/- 2.97e-01%\n", - " Group 8 [0.0 - 0.058 eV]:\t4.24e-05 +/- 2.90e-01%\n", + " Group 1 [821000.0 - 20000000.0eV]:\t1.06e+00 +/- 2.53e-01%\n", + " Group 2 [5530.0 - 821000.0 eV]:\t1.21e-03 +/- 2.60e-01%\n", + " Group 3 [4.0 - 5530.0 eV]:\t5.73e-04 +/- 2.93e+00%\n", + " Group 4 [0.625 - 4.0 eV]:\t6.54e-06 +/- 2.72e-01%\n", + " Group 5 [0.28 - 0.625 eV]:\t1.07e-05 +/- 3.83e-01%\n", + " Group 6 [0.14 - 0.28 eV]:\t1.55e-05 +/- 4.13e-01%\n", + " Group 7 [0.058 - 0.14 eV]:\t2.30e-05 +/- 3.01e-01%\n", + " Group 8 [0.0 - 0.058 eV]:\t4.24e-05 +/- 2.79e-01%\n", "\n", "\n", "\n" @@ -724,7 +733,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/nelsonag/git/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/romano/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n", " self_rel_err = data['self']['std. dev.'] / data['self']['mean']\n" ] } @@ -757,14 +766,14 @@ "\tDomain Type =\tcell\n", "\tDomain ID =\t10000\n", "\tCross Sections [cm^-1]:\n", - " Group 1 [821000.0 - 20000000.0eV]:\t2.52e-02 +/- 2.44e-01%\n", - " Group 2 [5530.0 - 821000.0 eV]:\t1.51e-03 +/- 1.30e-01%\n", - " Group 3 [4.0 - 5530.0 eV]:\t2.07e-02 +/- 2.31e-01%\n", - " Group 4 [0.625 - 4.0 eV]:\t3.31e-02 +/- 2.96e-01%\n", - " Group 5 [0.28 - 0.625 eV]:\t1.09e-01 +/- 4.64e-01%\n", - " Group 6 [0.14 - 0.28 eV]:\t1.69e-01 +/- 4.22e-01%\n", - " Group 7 [0.058 - 0.14 eV]:\t2.58e-01 +/- 2.97e-01%\n", - " Group 8 [0.0 - 0.058 eV]:\t5.40e-01 +/- 2.91e-01%\n", + " Group 1 [821000.0 - 20000000.0eV]:\t2.52e-02 +/- 2.41e-01%\n", + " Group 2 [5530.0 - 821000.0 eV]:\t1.51e-03 +/- 1.31e-01%\n", + " Group 3 [4.0 - 5530.0 eV]:\t2.07e-02 +/- 2.29e-01%\n", + " Group 4 [0.625 - 4.0 eV]:\t3.32e-02 +/- 3.10e-01%\n", + " Group 5 [0.28 - 0.625 eV]:\t1.09e-01 +/- 3.94e-01%\n", + " Group 6 [0.14 - 0.28 eV]:\t1.69e-01 +/- 4.12e-01%\n", + " Group 7 [0.058 - 0.14 eV]:\t2.58e-01 +/- 3.01e-01%\n", + " Group 8 [0.0 - 0.058 eV]:\t5.40e-01 +/- 2.79e-01%\n", "\n", "\n", "\n" @@ -794,7 +803,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/nelsonag/git/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/romano/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n", " self_rel_err = data['self']['std. dev.'] / data['self']['mean']\n" ] }, @@ -821,8 +830,8 @@ " 1\n", " 1\n", " H1\n", - " 0.234115\n", - " 0.003568\n", + " 0.233991\n", + " 0.003752\n", " \n", " \n", " 127\n", @@ -830,8 +839,8 @@ " 1\n", " 1\n", " O16\n", - " 1.563707\n", - " 0.005953\n", + " 1.569288\n", + " 0.006360\n", " \n", " \n", " 124\n", @@ -839,8 +848,8 @@ " 1\n", " 2\n", " H1\n", - " 1.594129\n", - " 0.002369\n", + " 1.587279\n", + " 0.003098\n", " \n", " \n", " 125\n", @@ -848,8 +857,8 @@ " 1\n", " 2\n", " O16\n", - " 0.285761\n", - " 0.001676\n", + " 0.285599\n", + " 0.001422\n", " \n", " \n", " 122\n", @@ -857,8 +866,8 @@ " 1\n", " 3\n", " H1\n", - " 0.011089\n", - " 0.000248\n", + " 0.010482\n", + " 0.000220\n", " \n", " \n", " 123\n", @@ -875,8 +884,8 @@ " 1\n", " 4\n", " H1\n", - " 0.000000\n", - " 0.000000\n", + " 0.000009\n", + " 0.000006\n", " \n", " \n", " 121\n", @@ -893,8 +902,8 @@ " 1\n", " 5\n", " H1\n", - " 0.000000\n", - " 0.000000\n", + " 0.000005\n", + " 0.000005\n", " \n", " \n", " 119\n", @@ -911,15 +920,15 @@ ], "text/plain": [ " cell group in group out nuclide mean std. dev.\n", - "126 10002 1 1 H1 0.234115 0.003568\n", - "127 10002 1 1 O16 1.563707 0.005953\n", - "124 10002 1 2 H1 1.594129 0.002369\n", - "125 10002 1 2 O16 0.285761 0.001676\n", - "122 10002 1 3 H1 0.011089 0.000248\n", + "126 10002 1 1 H1 0.233991 0.003752\n", + "127 10002 1 1 O16 1.569288 0.006360\n", + "124 10002 1 2 H1 1.587279 0.003098\n", + "125 10002 1 2 O16 0.285599 0.001422\n", + "122 10002 1 3 H1 0.010482 0.000220\n", "123 10002 1 3 O16 0.000000 0.000000\n", - "120 10002 1 4 H1 0.000000 0.000000\n", + "120 10002 1 4 H1 0.000009 0.000006\n", "121 10002 1 4 O16 0.000000 0.000000\n", - "118 10002 1 5 H1 0.000000 0.000000\n", + "118 10002 1 5 H1 0.000005 0.000005\n", "119 10002 1 5 O16 0.000000 0.000000" ] }, @@ -980,18 +989,18 @@ "\tDomain ID =\t10000\n", "\tNuclide =\tU235\n", "\tCross Sections [cm^-1]:\n", - " Group 1 [0.625 - 20000000.0eV]:\t7.73e-03 +/- 5.06e-01%\n", - " Group 2 [0.0 - 0.625 eV]:\t1.82e-01 +/- 2.05e-01%\n", + " Group 1 [0.625 - 20000000.0eV]:\t7.84e-03 +/- 4.34e-01%\n", + " Group 2 [0.0 - 0.625 eV]:\t1.82e-01 +/- 1.91e-01%\n", "\n", "\tNuclide =\tU238\n", "\tCross Sections [cm^-1]:\n", - " Group 1 [0.625 - 20000000.0eV]:\t2.17e-01 +/- 1.44e-01%\n", - " Group 2 [0.0 - 0.625 eV]:\t2.53e-01 +/- 2.57e-01%\n", + " Group 1 [0.625 - 20000000.0eV]:\t2.17e-01 +/- 1.38e-01%\n", + " Group 2 [0.0 - 0.625 eV]:\t2.53e-01 +/- 2.27e-01%\n", "\n", "\tNuclide =\tO16\n", "\tCross Sections [cm^-1]:\n", - " Group 1 [0.625 - 20000000.0eV]:\t1.46e-01 +/- 1.60e-01%\n", - " Group 2 [0.0 - 0.625 eV]:\t1.75e-01 +/- 2.94e-01%\n", + " Group 1 [0.625 - 20000000.0eV]:\t1.45e-01 +/- 1.54e-01%\n", + " Group 2 [0.0 - 0.625 eV]:\t1.74e-01 +/- 2.60e-01%\n", "\n", "\n", "\n" @@ -1030,48 +1039,48 @@ " 10000\n", " 1\n", " U235\n", - " 20.611692\n", - " 0.104237\n", + " 20.912730\n", + " 0.090857\n", " \n", " \n", " 4\n", " 10000\n", " 1\n", " U238\n", - " 9.585358\n", - " 0.013808\n", + " 9.577234\n", + " 0.013248\n", " \n", " \n", " 5\n", " 10000\n", " 1\n", " O16\n", - " 3.164190\n", - " 0.005049\n", + " 3.158619\n", + " 0.004864\n", " \n", " \n", " 0\n", " 10000\n", " 2\n", " U235\n", - " 485.413426\n", - " 0.996410\n", + " 485.364898\n", + " 0.925632\n", " \n", " \n", " 1\n", " 10000\n", " 2\n", " U238\n", - " 11.190386\n", - " 0.028731\n", + " 11.196946\n", + " 0.025466\n", " \n", " \n", " 2\n", " 10000\n", " 2\n", " O16\n", - " 3.794859\n", - " 0.011139\n", + " 3.788841\n", + " 0.009855\n", " \n", " \n", "\n", @@ -1079,12 +1088,12 @@ ], "text/plain": [ " cell group in nuclide mean std. dev.\n", - "3 10000 1 U235 20.611692 0.104237\n", - "4 10000 1 U238 9.585358 0.013808\n", - "5 10000 1 O16 3.164190 0.005049\n", - "0 10000 2 U235 485.413426 0.996410\n", - "1 10000 2 U238 11.190386 0.028731\n", - "2 10000 2 O16 3.794859 0.011139" + "3 10000 1 U235 20.912730 0.090857\n", + "4 10000 1 U238 9.577234 0.013248\n", + "5 10000 1 O16 3.158619 0.004864\n", + "0 10000 2 U235 485.364898 0.925632\n", + "1 10000 2 U238 11.196946 0.025466\n", + "2 10000 2 O16 3.788841 0.009855" ] }, "execution_count": 22, @@ -1119,8 +1128,9 @@ }, "outputs": [], "source": [ - "# Create an OpenMOC Geometry from the OpenCG Geometry\n", - "openmoc_geometry = get_openmoc_geometry(sp.summary.opencg_geometry)" + "# Create an OpenMOC Geometry from an equivalent OpenCG Geometry\n", + "opencg_geometry = get_opencg_geometry(sp.summary.geometry)\n", + "openmoc_geometry = get_openmoc_geometry(opencg_geometry)" ] }, { @@ -1141,11 +1151,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/nelsonag/git/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/romano/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n", " self_rel_err = data['self']['std. dev.'] / data['self']['mean']\n", - "/home/nelsonag/git/openmc/openmc/tallies.py:1836: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/romano/openmc/openmc/tallies.py:1836: RuntimeWarning: invalid value encountered in true_divide\n", " other_rel_err = data['other']['std. dev.'] / data['other']['mean']\n", - "/home/nelsonag/git/openmc/openmc/tallies.py:1837: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/romano/openmc/openmc/tallies.py:1837: RuntimeWarning: invalid value encountered in true_divide\n", " new_tally._mean = data['self']['mean'] / data['other']['mean']\n" ] } @@ -1201,239 +1211,239 @@ "text": [ "[ NORMAL ] Importing ray tracing data from file...\n", "[ NORMAL ] Computing the eigenvalue...\n", - "[ NORMAL ] Iteration 0:\tk_eff = 0.423123\tres = 0.000E+00\n", - "[ NORMAL 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"/home/romano/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n", " self_rel_err = data['self']['std. dev.'] / data['self']['mean']\n", - "/home/nelsonag/git/openmc/openmc/tallies.py:1836: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/romano/openmc/openmc/tallies.py:1836: RuntimeWarning: invalid value encountered in true_divide\n", " other_rel_err = data['other']['std. dev.'] / data['other']['mean']\n", - "/home/nelsonag/git/openmc/openmc/tallies.py:1837: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/romano/openmc/openmc/tallies.py:1837: RuntimeWarning: invalid value encountered in true_divide\n", " new_tally._mean = data['self']['mean'] / data['other']['mean']\n" ] } ], "source": [ - "openmoc_geometry = get_openmoc_geometry(sp.summary.opencg_geometry)\n", + "opencg_geometry = get_opencg_geometry(sp.summary.geometry)\n", + "openmoc_geometry = get_openmoc_geometry(opencg_geometry)\n", "openmoc_cells = openmoc_geometry.getRootUniverse().getAllCells()\n", "\n", "# Inject multi-group cross sections into OpenMOC Materials\n", @@ -1555,347 +1566,347 @@ "text": [ "[ NORMAL ] Importing ray tracing data from file...\n", "[ NORMAL ] Computing the eigenvalue...\n", - "[ NORMAL ] Iteration 0:\tk_eff = 0.366907\tres = 0.000E+00\n", - "[ NORMAL ] Iteration 1:\tk_eff = 0.391217\tres = 6.331E-01\n", - "[ NORMAL ] Iteration 2:\tk_eff = 0.393027\tres = 6.626E-02\n", - "[ NORMAL ] Iteration 3:\tk_eff = 0.381142\tres = 4.627E-03\n", - "[ NORMAL ] Iteration 4:\tk_eff = 0.375065\tres = 3.024E-02\n", - "[ NORMAL ] Iteration 5:\tk_eff = 0.369644\tres = 1.594E-02\n", - "[ NORMAL ] Iteration 6:\tk_eff = 0.365597\tres = 1.445E-02\n", - "[ NORMAL ] Iteration 7:\tk_eff = 0.363111\tres = 1.095E-02\n", - "[ NORMAL ] Iteration 8:\tk_eff = 0.361532\tres = 6.802E-03\n", - "[ NORMAL ] Iteration 9:\tk_eff = 0.361339\tres = 4.349E-03\n", - "[ NORMAL ] Iteration 10:\tk_eff = 0.362062\tres = 5.320E-04\n", - "[ NORMAL 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332:\tk_eff = 1.223043\tres = 1.227E-05\n", + "[ NORMAL ] Iteration 333:\tk_eff = 1.223057\tres = 1.177E-05\n", + "[ NORMAL ] Iteration 334:\tk_eff = 1.223070\tres = 1.146E-05\n", + "[ NORMAL ] Iteration 335:\tk_eff = 1.223084\tres = 1.122E-05\n", + "[ NORMAL ] Iteration 336:\tk_eff = 1.223097\tres = 1.105E-05\n", + "[ NORMAL ] Iteration 337:\tk_eff = 1.223110\tres = 1.063E-05\n", + "[ NORMAL ] Iteration 338:\tk_eff = 1.223122\tres = 1.054E-05\n", + "[ NORMAL ] Iteration 339:\tk_eff = 1.223134\tres = 1.015E-05\n", + "[ NORMAL ] Iteration 340:\tk_eff = 1.223146\tres = 1.005E-05\n" ] } ], @@ -1920,9 +1931,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "openmc keff = 1.223474\n", - "openmoc keff = 1.223051\n", - "bias [pcm]: -42.3\n" + "openmc keff = 1.224484\n", + "openmoc keff = 1.223146\n", + "bias [pcm]: -133.8\n" ] } ], @@ -1979,7 +1990,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/nelsonag/git/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/romano/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n", " self_rel_err = data['self']['std. dev.'] / data['self']['mean']\n" ] }, @@ -1995,9 +2006,9 @@ }, { "data": { - "image/png": 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QkY64ZlgVkZH47lnU8DIzyTlwINKpCIucSCcAON/1A8ATwb+vIj2Dg3dMoHjc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\n", 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qukFE6gO/AQ8HOc4kCJfLxbUDO5TbVlRcEt+rnnmqhtxP/v0DzEJrD7CSgIlF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\n8qEZU309WjQAYO66itVDngf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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -2096,7 +2107,6 @@ "plt.title('H-1 Scattering Matrix')\n", "plt.xlabel('Group Out')\n", "plt.ylabel('Group In')\n", - "plt.grid()\n", "\n", "# Create plot of the O-16 scattering matrix\n", "fig2 = plt.subplot(122)\n", @@ -2104,7 +2114,6 @@ "plt.title('O-16 Scattering Matrix')\n", "plt.xlabel('Group Out')\n", "plt.ylabel('Group In')\n", - "plt.grid()\n", "\n", "# Show the plot on screen\n", "plt.show()" @@ -2112,8 +2121,9 @@ } ], "metadata": { + "anaconda-cloud": {}, "kernelspec": { - "display_name": "Python 3", + "display_name": "Python [default]", "language": "python", "name": "python3" }, @@ -2127,7 +2137,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.0" + "version": "3.5.2" } }, "nbformat": 4, diff --git a/docs/source/pythonapi/examples/mgxs-part-iii.ipynb b/docs/source/pythonapi/examples/mgxs-part-iii.ipynb index 2927466da..40e195d65 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": [ - "/usr/lib/python3.6/site-packages/matplotlib/__init__.py:1401: UserWarning: This call to matplotlib.use() has no effect\n", + "/home/romano/miniconda3/envs/python3/lib/python3.5/site-packages/matplotlib/__init__.py:1401: 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", @@ -51,6 +51,7 @@ "\n", "import openmc\n", "import openmc.mgxs\n", + "from openmc.opencg_compatible import get_opencg_geometry\n", "import openmoc\n", "import openmoc.process\n", "from openmoc.opencg_compatible import get_openmoc_geometry\n", @@ -457,7 +458,7 @@ "outputs": [ { "data": { - "image/png": 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+ "image/png": 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"text/plain": [ "" ] @@ -742,9 +743,9 @@ " Copyright | 2011-2017 Massachusetts Institute of Technology\n", " License | http://openmc.readthedocs.io/en/latest/license.html\n", " Version | 0.8.0\n", - " Git SHA1 | 54b65c8bda6af5788bd762b8cf9855d1a8008238\n", - " Date/Time | 2017-02-12 13:39:31\n", - " OpenMP Threads | 8\n", + " Git SHA1 | dfc6f1d9bf1b31fc94dad1cb30bd672b25f47e04\n", + " Date/Time | 2017-02-21 15:11:55\n", + " OpenMP Threads | 4\n", "\n", " ===========================================================================\n", " ========================> INITIALIZATION <=========================\n", @@ -754,12 +755,12 @@ " Reading geometry XML file...\n", " Reading materials XML file...\n", " Reading cross sections XML file...\n", - " Reading U235 from /opt/xsdata/nndc/U235.h5\n", - " Reading U238 from /opt/xsdata/nndc/U238.h5\n", - " Reading O16 from /opt/xsdata/nndc/O16.h5\n", - " Reading H1 from /opt/xsdata/nndc/H1.h5\n", - " Reading B10 from /opt/xsdata/nndc/B10.h5\n", - " Reading Zr90 from /opt/xsdata/nndc/Zr90.h5\n", + " Reading U235 from /home/romano/openmc/scripts/nndc_hdf5/U235.h5\n", + " Reading U238 from /home/romano/openmc/scripts/nndc_hdf5/U238.h5\n", + " Reading O16 from /home/romano/openmc/scripts/nndc_hdf5/O16.h5\n", + " Reading H1 from /home/romano/openmc/scripts/nndc_hdf5/H1.h5\n", + " Reading B10 from /home/romano/openmc/scripts/nndc_hdf5/B10.h5\n", + " Reading Zr90 from /home/romano/openmc/scripts/nndc_hdf5/Zr90.h5\n", " Maximum neutron transport energy: 2.00000E+07 eV for U235\n", " Reading tallies XML file...\n", " Building neighboring cells lists for each surface...\n", @@ -774,53 +775,53 @@ " 1/1 1.03852 \n", " 2/1 0.99743 \n", " 3/1 1.02987 \n", - " 4/1 1.04472 \n", - " 5/1 1.02183 \n", - " 6/1 1.05263 \n", - " 7/1 0.99048 \n", - " 8/1 1.02753 \n", - " 9/1 1.03159 \n", - " 10/1 1.04005 \n", - " 11/1 1.05278 \n", - " 12/1 1.02555 1.03917 +/- 0.01362\n", - " 13/1 0.99400 1.02411 +/- 0.01699\n", - " 14/1 1.03508 1.02685 +/- 0.01232\n", - " 15/1 1.00055 1.02159 +/- 0.01090\n", - " 16/1 1.01334 1.02022 +/- 0.00900\n", - " 17/1 0.99822 1.01707 +/- 0.00823\n", - " 18/1 1.01767 1.01715 +/- 0.00713\n", - " 19/1 1.05052 1.02086 +/- 0.00730\n", - " 20/1 1.03133 1.02190 +/- 0.00661\n", - " 21/1 1.04112 1.02365 +/- 0.00623\n", - " 22/1 1.04175 1.02516 +/- 0.00588\n", - " 23/1 1.01909 1.02469 +/- 0.00543\n", - " 24/1 1.07119 1.02801 +/- 0.00603\n", - " 25/1 0.97414 1.02442 +/- 0.00666\n", - " 26/1 1.04709 1.02584 +/- 0.00639\n", - " 27/1 1.05872 1.02777 +/- 0.00631\n", - " 28/1 1.03930 1.02841 +/- 0.00598\n", - " 29/1 1.01488 1.02770 +/- 0.00570\n", - " 30/1 1.04513 1.02857 +/- 0.00548\n", - " 31/1 0.99538 1.02699 +/- 0.00545\n", - " 32/1 1.00106 1.02581 +/- 0.00532\n", - " 33/1 0.99389 1.02442 +/- 0.00527\n", - " 34/1 0.99938 1.02338 +/- 0.00516\n", - " 35/1 1.02161 1.02331 +/- 0.00495\n", - " 36/1 1.04084 1.02398 +/- 0.00480\n", - " 37/1 0.98801 1.02265 +/- 0.00481\n", - " 38/1 1.01348 1.02232 +/- 0.00464\n", - " 39/1 1.06693 1.02386 +/- 0.00474\n", - " 40/1 1.07729 1.02564 +/- 0.00491\n", - " 41/1 1.03191 1.02585 +/- 0.00475\n", - " 42/1 1.05209 1.02667 +/- 0.00468\n", - " 43/1 1.02997 1.02677 +/- 0.00453\n", - " 44/1 1.07288 1.02812 +/- 0.00460\n", - " 45/1 1.01268 1.02768 +/- 0.00449\n", - " 46/1 1.03759 1.02796 +/- 0.00437\n", - " 47/1 1.02620 1.02791 +/- 0.00425\n", - " 48/1 1.02509 1.02783 +/- 0.00414\n", - " 49/1 1.01075 1.02740 +/- 0.00406\n", - " 50/1 0.99403 1.02656 +/- 0.00404\n", + " 4/1 1.04397 \n", + " 5/1 1.06262 \n", + " 6/1 1.06657 \n", + " 7/1 0.98574 \n", + " 8/1 1.04364 \n", + " 9/1 1.01253 \n", + " 10/1 1.02094 \n", + " 11/1 0.99586 \n", + " 12/1 1.00508 1.00047 +/- 0.00461\n", + " 13/1 1.05292 1.01795 +/- 0.01769\n", + " 14/1 1.04732 1.02530 +/- 0.01450\n", + " 15/1 1.04886 1.03001 +/- 0.01218\n", + " 16/1 1.00948 1.02659 +/- 0.01052\n", + " 17/1 1.02684 1.02662 +/- 0.00889\n", + " 18/1 0.97234 1.01984 +/- 0.01026\n", + " 19/1 0.99754 1.01736 +/- 0.00938\n", + " 20/1 0.98964 1.01459 +/- 0.00884\n", + " 21/1 1.04140 1.01703 +/- 0.00836\n", + " 22/1 1.03854 1.01882 +/- 0.00784\n", + " 23/1 1.05917 1.02192 +/- 0.00785\n", + " 24/1 1.02413 1.02208 +/- 0.00727\n", + " 25/1 1.03113 1.02268 +/- 0.00679\n", + " 26/1 1.05113 1.02446 +/- 0.00660\n", + " 27/1 1.03252 1.02494 +/- 0.00622\n", + " 28/1 1.05196 1.02644 +/- 0.00605\n", + " 29/1 0.99663 1.02487 +/- 0.00593\n", + " 30/1 1.01820 1.02454 +/- 0.00564\n", + " 31/1 1.02753 1.02468 +/- 0.00537\n", + " 32/1 1.02162 1.02454 +/- 0.00512\n", + " 33/1 1.04083 1.02525 +/- 0.00494\n", + " 34/1 1.03335 1.02558 +/- 0.00474\n", + " 35/1 1.01304 1.02508 +/- 0.00458\n", + " 36/1 0.99299 1.02385 +/- 0.00457\n", + " 37/1 1.04936 1.02479 +/- 0.00450\n", + " 38/1 1.02856 1.02493 +/- 0.00433\n", + " 39/1 1.03706 1.02535 +/- 0.00420\n", + " 40/1 1.08118 1.02721 +/- 0.00447\n", + " 41/1 1.00149 1.02638 +/- 0.00440\n", + " 42/1 1.00233 1.02563 +/- 0.00433\n", + " 43/1 1.03023 1.02577 +/- 0.00419\n", + " 44/1 1.03230 1.02596 +/- 0.00407\n", + " 45/1 0.98123 1.02468 +/- 0.00416\n", + " 46/1 1.02126 1.02458 +/- 0.00404\n", + " 47/1 0.99772 1.02386 +/- 0.00400\n", + " 48/1 1.02773 1.02396 +/- 0.00389\n", + " 49/1 1.01690 1.02378 +/- 0.00379\n", + " 50/1 1.02890 1.02391 +/- 0.00370\n", " Creating state point statepoint.50.h5...\n", "\n", " ===========================================================================\n", @@ -830,27 +831,27 @@ "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", - " Total time for initialization = 4.2114E-01 seconds\n", - " Reading cross sections = 2.9270E-01 seconds\n", - " Total time in simulation = 7.0359E+00 seconds\n", - " Time in transport only = 6.4162E+00 seconds\n", - " Time in inactive batches = 4.6555E-01 seconds\n", - " Time in active batches = 6.5703E+00 seconds\n", - " Time synchronizing fission bank = 2.7486E-03 seconds\n", - " Sampling source sites = 1.8012E-03 seconds\n", - " SEND/RECV source sites = 9.0751E-04 seconds\n", - " Time accumulating tallies = 3.3323E-04 seconds\n", - " Total time for finalization = 2.6483E-05 seconds\n", - " Total time elapsed = 7.4667E+00 seconds\n", - " Calculation Rate (inactive) = 53700.2 neutrons/second\n", - " Calculation Rate (active) = 15219.9 neutrons/second\n", + " Total time for initialization = 5.2287E-01 seconds\n", + " Reading cross sections = 3.5267E-01 seconds\n", + " Total time in simulation = 1.3331E+01 seconds\n", + " Time in transport only = 1.3109E+01 seconds\n", + " Time in inactive batches = 9.4551E-01 seconds\n", + " Time in active batches = 1.2385E+01 seconds\n", + " Time synchronizing fission bank = 3.8467E-03 seconds\n", + " Sampling source sites = 2.5076E-03 seconds\n", + " SEND/RECV source sites = 1.2758E-03 seconds\n", + " Time accumulating tallies = 7.0302E-04 seconds\n", + " Total time for finalization = 1.5000E-05 seconds\n", + " Total time elapsed = 1.3863E+01 seconds\n", + " Calculation Rate (inactive) = 26440.9 neutrons/second\n", + " Calculation Rate (active) = 8074.24 neutrons/second\n", "\n", " ============================> RESULTS <============================\n", "\n", - " k-effective (Collision) = 1.02436 +/- 0.00318\n", - " k-effective (Track-length) = 1.02656 +/- 0.00404\n", - " k-effective (Absorption) = 1.02601 +/- 0.00333\n", - " Combined k-effective = 1.02539 +/- 0.00276\n", + " k-effective (Collision) = 1.02621 +/- 0.00393\n", + " k-effective (Track-length) = 1.02391 +/- 0.00370\n", + " k-effective (Absorption) = 1.02077 +/- 0.00423\n", + " Combined k-effective = 1.02331 +/- 0.00353\n", " Leakage Fraction = 0.00000 +/- 0.00000\n", "\n" ] @@ -970,7 +971,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/nelsonag/git/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/romano/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n", " self_rel_err = data['self']['std. dev.'] / data['self']['mean']\n" ] }, @@ -995,16 +996,16 @@ " 10000\n", " 1\n", " U235\n", - " 8.047288e-03\n", - " 2.712731e-05\n", + " 8.096764e-03\n", + " 3.130177e-05\n", " \n", " \n", " 4\n", " 10000\n", " 1\n", " U238\n", - " 7.364803e-03\n", - " 4.197956e-05\n", + " 7.364515e-03\n", + " 4.510564e-05\n", " \n", " \n", " 5\n", @@ -1019,16 +1020,16 @@ " 10000\n", " 2\n", " U235\n", - " 3.616058e-01\n", - " 2.178190e-03\n", + " 3.611153e-01\n", + " 2.048312e-03\n", " \n", " \n", " 1\n", " 10000\n", " 2\n", " U238\n", - " 6.743624e-07\n", - " 4.004691e-09\n", + " 6.735070e-07\n", + " 3.780177e-09\n", " \n", " \n", " 2\n", @@ -1044,11 +1045,11 @@ ], "text/plain": [ " cell group in nuclide mean std. dev.\n", - "3 10000 1 U235 8.047288e-03 2.712731e-05\n", - "4 10000 1 U238 7.364803e-03 4.197956e-05\n", + "3 10000 1 U235 8.096764e-03 3.130177e-05\n", + "4 10000 1 U238 7.364515e-03 4.510564e-05\n", "5 10000 1 O16 0.000000e+00 0.000000e+00\n", - "0 10000 2 U235 3.616058e-01 2.178190e-03\n", - "1 10000 2 U238 6.743624e-07 4.004691e-09\n", + "0 10000 2 U235 3.611153e-01 2.048312e-03\n", + "1 10000 2 U238 6.735070e-07 3.780177e-09\n", "2 10000 2 O16 0.000000e+00 0.000000e+00" ] }, @@ -1086,13 +1087,13 @@ "\tDomain ID =\t10000\n", "\tNuclide =\tU235\n", "\tCross Sections [cm^-1]:\n", - " Group 1 [0.625 - 20000000.0eV]:\t8.05e-03 +/- 3.37e-01%\n", - " Group 2 [0.0 - 0.625 eV]:\t3.62e-01 +/- 6.02e-01%\n", + " Group 1 [0.625 - 20000000.0eV]:\t8.10e-03 +/- 3.87e-01%\n", + " Group 2 [0.0 - 0.625 eV]:\t3.61e-01 +/- 5.67e-01%\n", "\n", "\tNuclide =\tU238\n", "\tCross Sections [cm^-1]:\n", - " Group 1 [0.625 - 20000000.0eV]:\t7.36e-03 +/- 5.70e-01%\n", - " Group 2 [0.0 - 0.625 eV]:\t6.74e-07 +/- 5.94e-01%\n", + " Group 1 [0.625 - 20000000.0eV]:\t7.36e-03 +/- 6.12e-01%\n", + " Group 2 [0.0 - 0.625 eV]:\t6.74e-07 +/- 5.61e-01%\n", "\n", "\tNuclide =\tO16\n", "\tCross Sections [cm^-1]:\n", @@ -1107,7 +1108,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/nelsonag/git/openmc/openmc/tallies.py:1506: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/romano/openmc/openmc/tallies.py:1506: RuntimeWarning: invalid value encountered in true_divide\n", " data = self.std_dev[indices] / self.mean[indices]\n" ] } @@ -1134,11 +1135,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/nelsonag/git/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/romano/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n", " self_rel_err = data['self']['std. dev.'] / data['self']['mean']\n", - "/home/nelsonag/git/openmc/openmc/tallies.py:1836: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/romano/openmc/openmc/tallies.py:1836: RuntimeWarning: invalid value encountered in true_divide\n", " other_rel_err = data['other']['std. dev.'] / data['other']['mean']\n", - "/home/nelsonag/git/openmc/openmc/tallies.py:1837: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/romano/openmc/openmc/tallies.py:1837: RuntimeWarning: invalid value encountered in true_divide\n", " new_tally._mean = data['self']['mean'] / data['other']['mean']\n" ] } @@ -1212,7 +1213,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/nelsonag/git/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/romano/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n", " self_rel_err = data['self']['std. dev.'] / data['self']['mean']\n" ] }, @@ -1237,16 +1238,16 @@ " 10000\n", " 1\n", " U235\n", - " 0.074714\n", - " 0.000331\n", + " 0.074393\n", + " 0.000308\n", " \n", " \n", " 1\n", " 10000\n", " 1\n", " U238\n", - " 0.005976\n", - " 0.000034\n", + " 0.005982\n", + " 0.000036\n", " \n", " \n", " 2\n", @@ -1262,8 +1263,8 @@ ], "text/plain": [ " cell group in nuclide mean std. dev.\n", - "0 10000 1 U235 0.074714 0.000331\n", - "1 10000 1 U238 0.005976 0.000034\n", + "0 10000 1 U235 0.074393 0.000308\n", + "1 10000 1 U238 0.005982 0.000036\n", "2 10000 1 O16 0.000000 0.000000" ] }, @@ -1303,7 +1304,8 @@ "outputs": [], "source": [ "# Create an OpenMOC Geometry from the OpenCG Geometry\n", - "openmoc_geometry = get_openmoc_geometry(mgxs_lib.opencg_geometry)" + "opencg_geometry = get_opencg_geometry(mgxs_lib.geometry)\n", + "openmoc_geometry = get_openmoc_geometry(opencg_geometry)" ] }, { @@ -1324,11 +1326,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/nelsonag/git/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/romano/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n", " self_rel_err = data['self']['std. dev.'] / data['self']['mean']\n", - "/home/nelsonag/git/openmc/openmc/tallies.py:1836: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/romano/openmc/openmc/tallies.py:1836: RuntimeWarning: invalid value encountered in true_divide\n", " other_rel_err = data['other']['std. dev.'] / data['other']['mean']\n", - "/home/nelsonag/git/openmc/openmc/tallies.py:1837: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/romano/openmc/openmc/tallies.py:1837: RuntimeWarning: invalid value encountered in true_divide\n", " new_tally._mean = data['self']['mean'] / data['other']['mean']\n" ] } @@ -1359,131 +1361,131 @@ "text": [ "[ NORMAL ] Importing ray tracing data from file...\n", "[ NORMAL ] Computing the eigenvalue...\n", - "[ NORMAL ] Iteration 0:\tk_eff = 0.823553\tres = 0.000E+00\n", - "[ NORMAL ] Iteration 1:\tk_eff = 0.780331\tres = 1.940E-01\n", - "[ NORMAL ] Iteration 2:\tk_eff = 0.739473\tres = 6.545E-02\n", - "[ NORMAL ] Iteration 3:\tk_eff = 0.710842\tres = 5.284E-02\n", - "[ NORMAL ] Iteration 4:\tk_eff = 0.689636\tres = 3.926E-02\n", - "[ NORMAL ] Iteration 5:\tk_eff = 0.675006\tres = 3.007E-02\n", - "[ NORMAL ] Iteration 6:\tk_eff = 0.665799\tres = 2.138E-02\n", - "[ NORMAL ] 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+ "[ NORMAL ] Iteration 90:\tk_eff = 1.023226\tres = 1.493E-04\n", + "[ NORMAL ] Iteration 91:\tk_eff = 1.023356\tres = 1.382E-04\n", + "[ NORMAL ] Iteration 92:\tk_eff = 1.023477\tres = 1.279E-04\n", + "[ NORMAL ] Iteration 93:\tk_eff = 1.023589\tres = 1.184E-04\n", + "[ NORMAL ] Iteration 94:\tk_eff = 1.023692\tres = 1.096E-04\n", + "[ NORMAL ] Iteration 95:\tk_eff = 1.023788\tres = 1.015E-04\n", + "[ NORMAL ] Iteration 96:\tk_eff = 1.023876\tres = 9.392E-05\n", + "[ NORMAL ] Iteration 97:\tk_eff = 1.023958\tres = 8.694E-05\n", + "[ NORMAL ] Iteration 98:\tk_eff = 1.024034\tres = 8.044E-05\n", + "[ NORMAL ] Iteration 99:\tk_eff = 1.024104\tres = 7.445E-05\n", + "[ NORMAL ] Iteration 100:\tk_eff = 1.024169\tres = 6.889E-05\n", + "[ NORMAL ] Iteration 101:\tk_eff = 1.024229\tres = 6.374E-05\n", + "[ NORMAL ] Iteration 102:\tk_eff = 1.024285\tres = 5.896E-05\n", + "[ NORMAL ] Iteration 103:\tk_eff = 1.024336\tres = 5.457E-05\n", + "[ NORMAL ] Iteration 104:\tk_eff = 1.024384\tres = 5.048E-05\n", + "[ NORMAL ] Iteration 105:\tk_eff = 1.024428\tres = 4.671E-05\n", + "[ NORMAL ] Iteration 106:\tk_eff = 1.024469\tres = 4.320E-05\n", + "[ NORMAL ] Iteration 107:\tk_eff = 1.024507\tres = 3.994E-05\n", + "[ NORMAL ] Iteration 108:\tk_eff = 1.024541\tres = 3.696E-05\n", + "[ NORMAL ] Iteration 109:\tk_eff = 1.024574\tres = 3.416E-05\n", + "[ NORMAL ] Iteration 110:\tk_eff = 1.024603\tres = 3.163E-05\n", + "[ NORMAL ] Iteration 111:\tk_eff = 1.024631\tres = 2.924E-05\n", + "[ NORMAL ] Iteration 112:\tk_eff = 1.024656\tres = 2.704E-05\n", + "[ NORMAL ] Iteration 113:\tk_eff = 1.024680\tres = 2.501E-05\n", + "[ NORMAL ] Iteration 114:\tk_eff = 1.024702\tres = 2.312E-05\n", + "[ NORMAL ] Iteration 115:\tk_eff = 1.024722\tres = 2.138E-05\n", + "[ NORMAL ] Iteration 116:\tk_eff = 1.024741\tres = 1.981E-05\n", + "[ NORMAL ] Iteration 117:\tk_eff = 1.024758\tres = 1.827E-05\n", + "[ NORMAL ] Iteration 118:\tk_eff = 1.024774\tres = 1.690E-05\n", + "[ NORMAL ] Iteration 119:\tk_eff = 1.024789\tres = 1.564E-05\n", + "[ NORMAL ] Iteration 120:\tk_eff = 1.024802\tres = 1.446E-05\n", + "[ NORMAL ] Iteration 121:\tk_eff = 1.024815\tres = 1.338E-05\n", + "[ NORMAL ] Iteration 122:\tk_eff = 1.024827\tres = 1.236E-05\n", + "[ NORMAL ] Iteration 123:\tk_eff = 1.024837\tres = 1.143E-05\n", + "[ NORMAL ] Iteration 124:\tk_eff = 1.024847\tres = 1.057E-05\n" ] } ], @@ -1515,9 +1517,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "openmc keff = 1.025390\n", - "openmoc keff = 1.026386\n", - "bias [pcm]: 99.6\n" + "openmc keff = 1.023307\n", + "openmoc keff = 1.024847\n", + "bias [pcm]: 154.0\n" ] } ], @@ -1625,7 +1627,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 43, @@ -1634,9 +1636,9 @@ }, { "data": { - "image/png": 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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1662,7 +1664,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python [default]", "language": "python", "name": "python3" }, @@ -1676,7 +1678,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.0" + "version": "3.5.2" } }, "nbformat": 4,