From 6aa561c291e4c4e615a9d55f3298dec7666152ef Mon Sep 17 00:00:00 2001 From: Adam Nelson Date: Sat, 25 Feb 2017 08:52:16 -0500 Subject: [PATCH] Updated mgxs-iv notebook --- .../pythonapi/examples/mgxs-part-iv.ipynb | 351 ++++-------------- 1 file changed, 62 insertions(+), 289 deletions(-) diff --git a/docs/source/pythonapi/examples/mgxs-part-iv.ipynb b/docs/source/pythonapi/examples/mgxs-part-iv.ipynb index dfab3b2be..f0fce27c2 100644 --- a/docs/source/pythonapi/examples/mgxs-part-iv.ipynb +++ b/docs/source/pythonapi/examples/mgxs-part-iv.ipynb @@ -338,7 +338,7 @@ "outputs": [], "source": [ "# OpenMC simulation parameters\n", - "batches = 50\n", + "batches = 500\n", "inactive = 10\n", "particles = 5000\n", "\n", @@ -425,7 +425,7 @@ "outputs": [ { "data": { - "image/png": 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+ "image/png": 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"text/plain": [ "" ] @@ -571,7 +571,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/romano/openmc/openmc/mgxs/library.py:412: RuntimeWarning: The P0 correction will be ignored since the scattering order 0 is greater than zero\n", + "/home/nelsonag/git/openmc/openmc/mgxs/library.py:412: RuntimeWarning: The P0 correction will be ignored since the scattering order 0 is greater than zero\n", " warn(msg, RuntimeWarning)\n" ] } @@ -684,7 +684,7 @@ "collapsed": true }, "source": [ - "Time to run the calculation and get our results!" + "Time to run the calculation and get our results! This time we will suppress the OpenMC output except for the summary information." ] }, { @@ -698,144 +698,29 @@ "name": "stdout", "output_type": "stream", "text": [ - "\n", - " %%%%%%%%%%%%%%%\n", - " %%%%%%%%%%%%%%%%%%%%%%%%\n", - " %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", - " %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", - " %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", - " %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", - " %%%%%%%%%%%%%%%%%%%%%%%%\n", - " %%%%%%%%%%%%%%%%%%%%%%%%\n", - " ############### %%%%%%%%%%%%%%%%%%%%%%%%\n", - " ################## %%%%%%%%%%%%%%%%%%%%%%%\n", - " ################### %%%%%%%%%%%%%%%%%%%%%%%\n", - " #################### %%%%%%%%%%%%%%%%%%%%%%\n", - " ##################### %%%%%%%%%%%%%%%%%%%%%\n", - " ###################### %%%%%%%%%%%%%%%%%%%%\n", - " ####################### %%%%%%%%%%%%%%%%%%\n", - " ####################### %%%%%%%%%%%%%%%%%\n", - " ###################### %%%%%%%%%%%%%%%%%\n", - " #################### %%%%%%%%%%%%%%%%%\n", - " ################# %%%%%%%%%%%%%%%%%\n", - " ############### %%%%%%%%%%%%%%%%\n", - " ############ %%%%%%%%%%%%%%%\n", - " ######## %%%%%%%%%%%%%%\n", - " %%%%%%%%%%%\n", - "\n", - " | The OpenMC Monte Carlo Code\n", - " 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 | 7ca46e809ce01fe7857ae36072822a1718f01aaf\n", - " Date/Time | 2017-02-23 09:39:10\n", - " OpenMP Threads | 4\n", - "\n", - " ===========================================================================\n", - " ========================> INITIALIZATION <=========================\n", - " ===========================================================================\n", - "\n", - " Reading settings XML file...\n", - " Reading geometry XML file...\n", - " Reading materials XML file...\n", - " Reading cross sections XML file...\n", - " Reading U235 from /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 Zr90 from /home/romano/openmc/scripts/nndc_hdf5/Zr90.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", - " Maximum neutron transport energy: 2.00000E+07 eV for U235\n", - " Reading tallies XML file...\n", - " Building neighboring cells lists for each surface...\n", - " Initializing source particles...\n", - "\n", - " ===========================================================================\n", - " ====================> K EIGENVALUE SIMULATION <====================\n", - " ===========================================================================\n", - "\n", - " Bat./Gen. k Average k \n", - " ========= ======== ==================== \n", - " 1/1 1.05169 \n", - " 2/1 1.02178 \n", - " 3/1 1.02778 \n", - " 4/1 1.01814 \n", - " 5/1 1.02993 \n", - " 6/1 1.05836 \n", - " 7/1 1.00011 \n", - " 8/1 1.04961 \n", - " 9/1 1.00908 \n", - " 10/1 1.00134 \n", - " 11/1 1.04275 \n", - " 12/1 1.04456 1.04366 +/- 0.00090\n", - " 13/1 1.00699 1.03143 +/- 0.01224\n", - " 14/1 1.05509 1.03735 +/- 0.01048\n", - " 15/1 1.01645 1.03317 +/- 0.00913\n", - " 16/1 1.02813 1.03233 +/- 0.00750\n", - " 17/1 1.03686 1.03298 +/- 0.00637\n", - " 18/1 1.04389 1.03434 +/- 0.00569\n", - " 19/1 1.01404 1.03208 +/- 0.00550\n", - " 20/1 1.01838 1.03071 +/- 0.00511\n", - " 21/1 1.02745 1.03042 +/- 0.00463\n", - " 22/1 1.03013 1.03039 +/- 0.00422\n", - " 23/1 1.02808 1.03022 +/- 0.00389\n", - " 24/1 1.04615 1.03135 +/- 0.00378\n", - " 25/1 1.03395 1.03153 +/- 0.00352\n", - " 26/1 1.05256 1.03284 +/- 0.00355\n", - " 27/1 1.03201 1.03279 +/- 0.00333\n", - " 28/1 1.00136 1.03105 +/- 0.00359\n", - " 29/1 1.01409 1.03015 +/- 0.00351\n", - " 30/1 1.01159 1.02923 +/- 0.00346\n", - " 31/1 1.02533 1.02904 +/- 0.00330\n", - " 32/1 1.04169 1.02962 +/- 0.00320\n", - " 33/1 1.02904 1.02959 +/- 0.00305\n", - " 34/1 1.04991 1.03044 +/- 0.00304\n", - " 35/1 1.03223 1.03051 +/- 0.00292\n", - " 36/1 1.02835 1.03043 +/- 0.00281\n", - " 37/1 1.02690 1.03029 +/- 0.00270\n", - " 38/1 1.02993 1.03028 +/- 0.00261\n", - " 39/1 1.03601 1.03048 +/- 0.00252\n", - " 40/1 1.04026 1.03081 +/- 0.00246\n", - " 41/1 1.00972 1.03013 +/- 0.00247\n", - " 42/1 1.04266 1.03052 +/- 0.00243\n", - " 43/1 1.01825 1.03015 +/- 0.00238\n", - " 44/1 1.05496 1.03087 +/- 0.00242\n", - " 45/1 1.01621 1.03046 +/- 0.00239\n", - " 46/1 1.04001 1.03072 +/- 0.00234\n", - " 47/1 1.04887 1.03121 +/- 0.00233\n", - " 48/1 1.02937 1.03116 +/- 0.00226\n", - " 49/1 1.01104 1.03065 +/- 0.00226\n", - " 50/1 1.03586 1.03078 +/- 0.00221\n", - " Creating state point statepoint.50.h5...\n", - "\n", - " ===========================================================================\n", - " ======================> SIMULATION FINISHED <======================\n", - " ===========================================================================\n", - "\n", - "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", - " Total time for initialization = 4.2488E-01 seconds\n", - " Reading cross sections = 3.1421E-01 seconds\n", - " Total time in simulation = 1.7708E+01 seconds\n", - " Time in transport only = 1.7283E+01 seconds\n", - " Time in inactive batches = 1.7937E+00 seconds\n", - " Time in active batches = 1.5915E+01 seconds\n", - " Time synchronizing fission bank = 5.8977E-03 seconds\n", - " Sampling source sites = 3.9998E-03 seconds\n", - " SEND/RECV source sites = 1.8525E-03 seconds\n", - " Time accumulating tallies = 1.4703E-04 seconds\n", - " Total time for finalization = 4.6920E-06 seconds\n", - " Total time elapsed = 1.8150E+01 seconds\n", - " Calculation Rate (inactive) = 27874.7 neutrons/second\n", - " Calculation Rate (active) = 12567.0 neutrons/second\n", + " Total time for initialization = 3.2303E-01 seconds\n", + " Reading cross sections = 2.4414E-01 seconds\n", + " Total time in simulation = 1.4351E+02 seconds\n", + " Time in transport only = 1.4018E+02 seconds\n", + " Time in inactive batches = 7.9702E-01 seconds\n", + " Time in active batches = 1.4272E+02 seconds\n", + " Time synchronizing fission bank = 8.1742E-02 seconds\n", + " Sampling source sites = 5.6844E-02 seconds\n", + " SEND/RECV source sites = 2.4302E-02 seconds\n", + " Time accumulating tallies = 1.9605E-03 seconds\n", + " Total time for finalization = 6.3080E-06 seconds\n", + " Total time elapsed = 1.4385E+02 seconds\n", + " Calculation Rate (inactive) = 62733.9 neutrons/second\n", + " Calculation Rate (active) = 17166.9 neutrons/second\n", "\n", " ============================> RESULTS <============================\n", "\n", - " k-effective (Collision) = 1.02955 +/- 0.00250\n", - " k-effective (Track-length) = 1.03078 +/- 0.00221\n", - " k-effective (Absorption) = 1.02896 +/- 0.00244\n", - " Combined k-effective = 1.03019 +/- 0.00179\n", + " k-effective (Collision) = 1.02519 +/- 0.00068\n", + " k-effective (Track-length) = 1.02548 +/- 0.00075\n", + " k-effective (Absorption) = 1.02621 +/- 0.00064\n", + " Combined k-effective = 1.02580 +/- 0.00053\n", " Leakage Fraction = 0.00000 +/- 0.00000\n", "\n" ] @@ -852,8 +737,8 @@ } ], "source": [ - "# Run OpenMC\n", - "openmc.run()" + "# Run OpenMC, showing only the summary information at the end.\n", + "openmc.run(output='summary')" ] }, { @@ -971,11 +856,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/romano/openmc/openmc/tallies.py:1835: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/nelsonag/git/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/romano/openmc/openmc/tallies.py:1836: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/nelsonag/git/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/romano/openmc/openmc/tallies.py:1837: RuntimeWarning: invalid value encountered in true_divide\n", + "/home/nelsonag/git/openmc/openmc/tallies.py:1837: RuntimeWarning: invalid value encountered in true_divide\n", " new_tally._mean = data['self']['mean'] / data['other']['mean']\n" ] } @@ -1084,9 +969,9 @@ "outputs": [ { "data": { - "image/png": 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VAYB+7bdLe967+iAO7t+Bv70zh4uemcb6bVZ8T5TgD/fGNI6HekXkNo7A64JG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\nOBdbj8MYY5otL72qpro/bgMuiG04TWO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bYjVOqg4A9OuAPdrz7rWHcGj/Dvz17Xlc8swMNm636nuiBH+4NyY5HuoVkXMc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\nkp3lfPzDOqYv28R3K0q4ffP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0rQxKyD06l9G3eyX9e3SiX/dOjOjXjeF9urY6bkEKlmh+4v8O464XP+CuFz/k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\nNBYYO2LEiFyH4pxrRXuXNDw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LgfPzF1LmJJ0InDhs2LBCh+KcS6K9SxqennIvZVWVpApgJzPbA9gd\n2N3M9jKzN9olujR5G4dzpSPfBQ6vCMuflInDzJoJ2iMws1XhCHLnnHNbsSiN409L+o6kQZJ6xh55\njywD3jjuXOnwtvHSFSVxXEQwjfpkgnU4pgPT8hlUpryqyrnS4W3jpSvKyPGh7RGIc8650hBl5Pg3\nJPWIe76NpMvyG5ZzzrliFaWq6qtmtiL2xMyWA0U5TsLbOJxzLv+iJI4KxXW8DtfT6JC/kDLnbRzO\nOZd/UQYAPgk8IOk2grE0lwJP5DUq55zLER+hnntREsc1wNeArxOMqXkK+HM+g3LOla/26obr3X3z\nJ0qvqmbgj+GjqPmUI84VPy8AlL4ovaqGSxovaaakObFHewSXLm/jcM65/IvSOH4XQWljE3A4cA/w\nl3wG5ZwrX16FVPqiJI5OZvYsIDP7yMyuB47Ib1jOuXLnVValK0rjeEM4S+57ki4H5gN98huWc865\nYhWlxPFNoDNwJbAPcB5Fuh6Hc650eJVV6YrSq2pq+O0a4ML8hpMd71XlXOnwqqrSlTRxSHok1RvN\n7KTch5MdXzrWueLXXiWNPt07AnDe/tu1zwm3IqlKHAcAc4FxwEv4glrOuRyyPC/q2r1jNR/edHxe\nz7G1SpU4+gFHAecAXwQeBcaZ2VvtEZhzzrnilLRx3MyazOwJMzsf2B+YDTwn6Yp2i845V7bklRgl\nK2XjuKQa4HiCUscQ4GbgofyH5Zwrd/muqnL5k6px/G5gV+Bx4MdmNqPdonLOlS0vaZS+VCWO84C1\nwI7AlfFLcgBmZt3zHFvavDuuc87lX6o2jgoz6xY+usc9uhVj0gCf5NC5UvDLM/Zg1NCe9O/RqdCh\nuAxFmXLEOedyZtTQnjzwtQMKHYbLQpQpR5xzzrkWnjicc86lxROHc865tHjicM45lxZPHM4559Li\nvaqccyXp7otGsU3n6kKHsVXyxOGcK0mH7VhX6BC2WkVfVSVpF0m3SRov6euFjsc557Z2eU0cksZI\nWixpRqvtx0iaJWm2pGtTHcPM3jazS4Ezgfp8xuucc65t+S5xjAWOid8gqRK4FTgWGAGcI2mEpN0k\nTWz16BO+5yRgCvBsnuN1zjnXhry2cZjZZElDWm0eBcw2szkAku4DTjazG4ETkhznEeARSY8Cf8tf\nxM4559pSiMbxAQRL0sbMA/ZLtrOk0cCpQA3wWIr9LgEuARg8eHAu4nTOOZdAIRJHosn4k67oYmbP\nAc+1dVAzuwO4A6C+vt5XiHGuDH3tsO1pavJ/70IrROKYBwyKez4QWJCLA/t6HM6Vt+8fu0uhQ3AU\npjvuVGC4pKGSOgBnA4/k4sC+HodzzuVfvrvjjgNeBHaSNE/SxWa2CbgceBJ4G3jAzN7K0flOlHTH\nypUrc3E455xzCcis/OoL6+vrbdq0aYUOwznnSoqk6WbW5ni5oh857pxzrriUVeLwqirnnMu/skoc\n3jjunHP5V1aJw0sczjmXf2WVOLzE4Zxz+VeWvaokrQZmFTqOPOgNLC10EHlSrtdWrtcF5XttW/N1\nbWdmbS50Uq4LOc2K0qWs1EiaVo7XBeV7beV6XVC+1+bX1bayqqpyzjmXf544nHPOpaVcE8cdhQ4g\nT8r1uqB8r61crwvK99r8utpQlo3jzjnn8qdcSxzOOefyxBOHc865tHjicM45l5atLnFIGi3peUm3\nheuZlwVJu4TXNF7S1wsdT65I2l7SnZLGFzqWXCi364kp178/KOt7xiHhNf1Z0n/SeW9JJQ5JYyQt\nljSj1fZjJM2SNFvStW0cxoA1QEeCZWwLLhfXZWZvm9mlwJlAUQxeytF1zTGzi/MbaXbSuc5SuJ6Y\nNK+r6P7+Uknzb7Po7hnJpPk7ez78nU0E7k7rRGZWMg/gUGBvYEbctkrgfWB7oAPwOjAC2C38gcQ/\n+gAV4fv6An8t9DXl6rrC95wE/Af4YqGvKZfXFb5vfKGvJxfXWQrXk+l1FdvfX66urRjvGbn6nYWv\nPwB0T+c8JTXliJlNljSk1eZRwGwzmwMg6T7gZDO7ETghxeGWAzX5iDNdubouM3sEeETSo8Df8hdx\nNDn+fRWtdK4TmNm+0WUu3esqtr+/VNL824z9zormnpFMur8zSYOBlWa2Kp3zlFTiSGIAMDfu+Txg\nv2Q7SzoVOBroAfw+v6FlJd3rGg2cSvCH/VheI8tOutfVC/gZsJek74cJphQkvM4Svp6YZNc1mtL4\n+0sl2bWVyj0jmVT/cxcDd6V7wHJIHEqwLemoRjN7CHgof+HkTLrX9RzwXL6CyaF0r2sZcGn+wsmb\nhNdZwtcTk+y6nqM0/v5SSXZtpXLPSCbp/5yZXZfJAUuqcTyJecCguOcDgQUFiiWX/LpKW7leZ7le\nF5TvteX8usohcUwFhksaKqkDcDbwSIFjygW/rtJWrtdZrtcF5Xttub+uQvcCSLPHwDjgE6CRIIte\nHG4/DniXoOfA/xQ6Tr+u8r6ureU6y/W6yvna2uu6fJJD55xzaSmHqirnnHPtyBOHc865tHjicM45\nlxZPHM4559LiicM551xaPHE455xLiycOt1WT1CTptbhHW9PytwtJH0p6U1LSKcolXSBpXKttvSUt\nkVQj6a+SPpV0ev4jdluTcpiryrlsrDezPXN5QElVZrYpB4c63MyWpnj9IeCXkjqb2bpw2+nAI2a2\nAfiSpLE5iMO5LXiJw7kEwk/8P5b0SvjJf+dwe5dwsZypkl6VdHK4/QJJD0qaADwlqULSHyS9JWmi\npMcknS7pSEn/iDvPUZLanEBP0j6SJkmaLulJSdtaMBX2ZODEuF3PJhg97FzeeOJwW7tOraqqzop7\nbamZ7Q38EfhOuO1/gH+Z2b7A4cAvJHUJXzsAON/MjiCYYnwIwQJVXwlfA/gXsIukuvD5hbQxrbWk\nauAW4HQz2wcYQzA1OwRJ4uxwv/7AjsC/0/wZOJcWr6pyW7tUVVWxksB0gkQA8HngJEmxRNIRGBx+\n/7SZfRp+fzDwoJk1Awsl/RuCObol/QU4V9JdBAnly23EuBOwK/C0JAhWdPskfG0i8AdJ3QmWbR1v\nZk1tXbRz2fDE4VxyG8KvTWz+XxFwmpnNit9R0n7A2vhNKY57FzABaCBILm21hwh4y8wOaP2Cma2X\n9ATwBYKSx7faOJZzWfOqKufS8yRwhcKP/pL2SrLfFOC0sK2jLzA69oKZLSBYD+GHwNgI55wF1Ek6\nIDxntaSRca+PA64mWBP7v2ldjXMZ8MThtnat2zhuamP/nwLVwBuSZoTPE/k7wbTWM4DbgZeAlXGv\n/xWYa5vXs07KzDYS9Jb6X0mvA68BB8bt8hTQH7jffLpr1w58WnXn8kRSVzNbE64z/jJwkJktDF/7\nPfCqmd2Z5L0fAvVtdMeNEsNYYKKZjc/mOM7F8xKHc/kzUdJrwPPAT+OSxnRgd+DeFO9dAjybagBg\nWyT9FTiMoC3FuZzxEodzzrm0eInDOedcWjxxOOecS4snDuecc2nxxOGccy4tnjicc86lxROHc865\ntPx/RfHQqmw1MBwAAAAASUVORK5CYII=\n", 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Ti4uLkx2KiKS4Q/t14p6LRvLMNWMYPqAztzw/nxNvm87T76+iqS/Ujbnj1UUc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\n", 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RXDz5Tb73+DzKq2o4++DBqQ5LRKRFzV05XEjTo+C2umG8GcuBQVHrA4GV8RzAzMaZ2aTN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\n1e7uZnYawZXGvWZ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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1143,7 +1028,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "At this point, the problem is set up and we can run the multi-group calculation." + "At this point, the problem is set up and we can run the multi-group calculation, again with only summary information being displayed." ] }, { @@ -1158,141 +1043,29 @@ "name": "stdout", "output_type": "stream", "text": [ - "\n", - " %%%%%%%%%%%%%%%\n", - " %%%%%%%%%%%%%%%%%%%%%%%%\n", - " %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", - " %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", - " %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", - " %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", - " %%%%%%%%%%%%%%%%%%%%%%%%\n", - " %%%%%%%%%%%%%%%%%%%%%%%%\n", - " ############### %%%%%%%%%%%%%%%%%%%%%%%%\n", - " ################## %%%%%%%%%%%%%%%%%%%%%%%\n", - " ################### %%%%%%%%%%%%%%%%%%%%%%%\n", - " #################### %%%%%%%%%%%%%%%%%%%%%%\n", - " ##################### %%%%%%%%%%%%%%%%%%%%%\n", - " ###################### %%%%%%%%%%%%%%%%%%%%\n", - " ####################### %%%%%%%%%%%%%%%%%%\n", - " ####################### %%%%%%%%%%%%%%%%%\n", - " ###################### %%%%%%%%%%%%%%%%%\n", - " #################### %%%%%%%%%%%%%%%%%\n", - " ################# %%%%%%%%%%%%%%%%%\n", - " ############### %%%%%%%%%%%%%%%%\n", - " ############ %%%%%%%%%%%%%%%\n", - " ######## %%%%%%%%%%%%%%\n", - " %%%%%%%%%%%\n", - "\n", - " | The OpenMC Monte Carlo Code\n", - " 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 | 7ca46e809ce01fe7857ae36072822a1718f01aaf\n", - " Date/Time | 2017-02-23 09:39:37\n", - " OpenMP Threads | 4\n", - "\n", - " ===========================================================================\n", - " ========================> INITIALIZATION <=========================\n", - " ===========================================================================\n", - "\n", - " Reading settings XML file...\n", - " Reading geometry XML file...\n", - " Reading materials XML file...\n", - " Reading cross sections HDF5 file...\n", - " Reading tallies XML file...\n", - " Loading Cross Section Data...\n", - " Loading fuel Data...\n", - " Loading zircaloy Data...\n", - " Loading water Data...\n", - " Building neighboring cells lists for each surface...\n", - " Initializing source particles...\n", - "\n", - " ===========================================================================\n", - " ====================> K EIGENVALUE SIMULATION <====================\n", - " ===========================================================================\n", - "\n", - " Bat./Gen. k Average k \n", - " ========= ======== ==================== \n", - " 1/1 1.00368 \n", - " 2/1 0.99772 \n", - " 3/1 1.04317 \n", - " 4/1 1.02487 \n", - " 5/1 1.01766 \n", - " 6/1 1.03964 \n", - " 7/1 1.02340 \n", - " 8/1 1.02634 \n", - " 9/1 1.03388 \n", - " 10/1 1.02952 \n", - " 11/1 1.01872 \n", - " 12/1 1.02315 1.02093 +/- 0.00222\n", - " 13/1 1.02926 1.02371 +/- 0.00306\n", - " 14/1 1.01288 1.02100 +/- 0.00346\n", - " 15/1 1.04072 1.02494 +/- 0.00477\n", - " 16/1 1.01872 1.02391 +/- 0.00403\n", - " 17/1 1.00295 1.02091 +/- 0.00454\n", - " 18/1 1.02724 1.02170 +/- 0.00401\n", - " 19/1 1.01843 1.02134 +/- 0.00355\n", - " 20/1 1.02340 1.02155 +/- 0.00318\n", - " 21/1 1.03938 1.02317 +/- 0.00331\n", - " 22/1 1.00397 1.02157 +/- 0.00342\n", - " 23/1 1.03516 1.02261 +/- 0.00331\n", - " 24/1 1.03595 1.02357 +/- 0.00321\n", - " 25/1 1.03557 1.02437 +/- 0.00309\n", - " 26/1 1.03415 1.02498 +/- 0.00296\n", - " 27/1 1.02624 1.02505 +/- 0.00278\n", - " 28/1 1.02469 1.02503 +/- 0.00262\n", - " 29/1 1.00769 1.02412 +/- 0.00264\n", - " 30/1 1.02584 1.02420 +/- 0.00251\n", - " 31/1 0.99119 1.02263 +/- 0.00286\n", - " 32/1 1.00246 1.02172 +/- 0.00287\n", - " 33/1 1.00718 1.02108 +/- 0.00282\n", - " 34/1 1.01662 1.02090 +/- 0.00270\n", - " 35/1 1.01834 1.02080 +/- 0.00260\n", - " 36/1 1.04397 1.02169 +/- 0.00265\n", - " 37/1 1.01419 1.02141 +/- 0.00256\n", - " 38/1 1.02268 1.02145 +/- 0.00247\n", - " 39/1 1.04256 1.02218 +/- 0.00249\n", - " 40/1 1.03746 1.02269 +/- 0.00246\n", - " 41/1 1.02199 1.02267 +/- 0.00238\n", - " 42/1 1.03030 1.02291 +/- 0.00232\n", - " 43/1 1.00489 1.02236 +/- 0.00231\n", - " 44/1 1.03025 1.02259 +/- 0.00225\n", - " 45/1 1.05954 1.02365 +/- 0.00243\n", - " 46/1 1.03444 1.02395 +/- 0.00238\n", - " 47/1 1.00532 1.02345 +/- 0.00237\n", - " 48/1 1.03364 1.02371 +/- 0.00232\n", - " 49/1 1.02660 1.02379 +/- 0.00226\n", - " 50/1 1.04569 1.02434 +/- 0.00227\n", - " Creating state point statepoint.50.h5...\n", - "\n", - " ===========================================================================\n", - " ======================> SIMULATION FINISHED <======================\n", - " ===========================================================================\n", - "\n", - "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", - " Total time for initialization = 2.6345E-02 seconds\n", - " Reading cross sections = 3.9616E-03 seconds\n", - " Total time in simulation = 1.6005E+01 seconds\n", - " Time in transport only = 1.5841E+01 seconds\n", - " Time in inactive batches = 1.3158E+00 seconds\n", - " Time in active batches = 1.4689E+01 seconds\n", - " Time synchronizing fission bank = 6.9577E-03 seconds\n", - " Sampling source sites = 4.4024E-03 seconds\n", - " SEND/RECV source sites = 2.4544E-03 seconds\n", - " Time accumulating tallies = 1.4749E-04 seconds\n", - " Total time for finalization = 3.7060E-06 seconds\n", - " Total time elapsed = 1.6053E+01 seconds\n", - " Calculation Rate (inactive) = 37998.4 neutrons/second\n", - " Calculation Rate (active) = 13615.9 neutrons/second\n", + " Total time for initialization = 4.3662E-02 seconds\n", + " Reading cross sections = 5.8801E-03 seconds\n", + " Total time in simulation = 1.7518E+02 seconds\n", + " Time in transport only = 1.7154E+02 seconds\n", + " Time in inactive batches = 8.0088E-01 seconds\n", + " Time in active batches = 1.7438E+02 seconds\n", + " Time synchronizing fission bank = 9.8651E-02 seconds\n", + " Sampling source sites = 6.7951E-02 seconds\n", + " SEND/RECV source sites = 2.9902E-02 seconds\n", + " Time accumulating tallies = 2.2328E-03 seconds\n", + " Total time for finalization = 5.9420E-06 seconds\n", + " Total time elapsed = 1.7525E+02 seconds\n", + " Calculation Rate (inactive) = 62431.1 neutrons/second\n", + " Calculation Rate (active) = 14049.6 neutrons/second\n", "\n", " ============================> RESULTS <============================\n", "\n", - " k-effective (Collision) = 1.02412 +/- 0.00199\n", - " k-effective (Track-length) = 1.02434 +/- 0.00227\n", - " k-effective (Absorption) = 1.02703 +/- 0.00143\n", - " Combined k-effective = 1.02632 +/- 0.00142\n", + " k-effective (Collision) = 1.02429 +/- 0.00068\n", + " k-effective (Track-length) = 1.02408 +/- 0.00075\n", + " k-effective (Absorption) = 1.02514 +/- 0.00050\n", + " Combined k-effective = 1.02488 +/- 0.00045\n", " Leakage Fraction = 0.00000 +/- 0.00000\n", "\n" ] @@ -1309,8 +1082,8 @@ } ], "source": [ - "# Run the Multi-Group OpenMC Simulation\n", - "openmc.run()" + "# Run OpenMC, showing only the summary information at the end.\n", + "openmc.run(output='summary')" ] }, { @@ -1373,9 +1146,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "Continuous-Energy keff = 1.030194\n", - "Multi-Group keff = 1.026316\n", - "bias [pcm]: 387.9\n" + "Continuous-Energy keff = 1.025799\n", + "Multi-Group keff = 1.024883\n", + "bias [pcm]: 91.6\n" ] } ], @@ -1472,7 +1245,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 41, @@ -1481,9 +1254,9 @@ }, { "data": { - "image/png": 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bhpre1wXZ0GZmbqBX7NuFfk3Pvtz56qiyFZ4+4ILQqHfoGWqYGB/v3fl+qPln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\nQmCC\n", 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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1520,7 +1293,7 @@ "metadata": { "anaconda-cloud": {}, "kernelspec": { - "display_name": "Python [default]", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -1534,7 +1307,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.2" + "version": "3.6.0" } }, "nbformat": 4,