diff --git a/.gitignore b/.gitignore index 877fcab..217a387 100644 --- a/.gitignore +++ b/.gitignore @@ -2,7 +2,9 @@ .vscode # Compiled python modules +__pycache__ *.pyc +.ipynb_checkpoints # Python egg metadata validation.egg-info @@ -19,4 +21,7 @@ validation.egg-info # OpenMC Output Files *.h5 -*.ppm \ No newline at end of file +*.png +*.ppm +tallies.out +chain*.xml \ No newline at end of file diff --git a/AP1000/PWR 3.10/problem/tallies.xml b/AP1000/PWR 3.10/problem/tallies.xml index 5711d9e..15d635a 100644 --- a/AP1000/PWR 3.10/problem/tallies.xml +++ b/AP1000/PWR 3.10/problem/tallies.xml @@ -43,7 +43,6 @@ nu-fission - 3 delayed-nu-fission @@ -64,7 +63,7 @@ scatter - + 7 total diff --git a/ARC700/CANDU 2.1/problem/materials.xml b/ARC700/CANDU 2.1/problem/materials.xml index 9344a1b..e351203 100644 --- a/ARC700/CANDU 2.1/problem/materials.xml +++ b/ARC700/CANDU 2.1/problem/materials.xml @@ -97,7 +97,6 @@ - @@ -106,7 +105,6 @@ - diff --git a/ARC700/CANDU 2.1/problem/plots.xml b/ARC700/CANDU 2.1/problem/plots.xml index ff0aa53..9178846 100644 --- a/ARC700/CANDU 2.1/problem/plots.xml +++ b/ARC700/CANDU 2.1/problem/plots.xml @@ -14,7 +14,6 @@ 0. 0. 0. 25.0 25.0 1000 1000 - diff --git a/ARC700/CANDU 2.1/problem/tallies.xml b/ARC700/CANDU 2.1/problem/tallies.xml index 87686fe..865512b 100644 --- a/ARC700/CANDU 2.1/problem/tallies.xml +++ b/ARC700/CANDU 2.1/problem/tallies.xml @@ -43,7 +43,6 @@ nu-fission - 3 delayed-nu-fission diff --git a/ARC700/CANDU 2.6/problem/materials.xml b/ARC700/CANDU 2.6/problem/materials.xml index 2063dcb..02a6e42 100644 --- a/ARC700/CANDU 2.6/problem/materials.xml +++ b/ARC700/CANDU 2.6/problem/materials.xml @@ -97,7 +97,6 @@ - diff --git a/ARC700/CANDU 2.6/problem/plots.xml b/ARC700/CANDU 2.6/problem/plots.xml index ff0aa53..9178846 100644 --- a/ARC700/CANDU 2.6/problem/plots.xml +++ b/ARC700/CANDU 2.6/problem/plots.xml @@ -14,7 +14,6 @@ 0. 0. 0. 25.0 25.0 1000 1000 - diff --git a/ARC700/CANDU 3.1/problem/materials.xml b/ARC700/CANDU 3.1/problem/materials.xml index d13cddb..5804100 100644 --- a/ARC700/CANDU 3.1/problem/materials.xml +++ b/ARC700/CANDU 3.1/problem/materials.xml @@ -47,7 +47,6 @@ - diff --git a/ARC700/CANDU 3.1/problem/plots.xml b/ARC700/CANDU 3.1/problem/plots.xml index ff0aa53..9178846 100644 --- a/ARC700/CANDU 3.1/problem/plots.xml +++ b/ARC700/CANDU 3.1/problem/plots.xml @@ -14,7 +14,6 @@ 0. 0. 0. 25.0 25.0 1000 1000 - diff --git a/BEAVRS/beavrs/assemblies.py b/BEAVRS/beavrs/assemblies.py index 8cb66e7..f485398 100644 --- a/BEAVRS/beavrs/assemblies.py +++ b/BEAVRS/beavrs/assemblies.py @@ -54,7 +54,7 @@ class Assemblies(object): def _add_assembly_surfs(self): - """ Adds BEAVRS assebly surfaces - these include the assembly pitch""" + """ Adds BEAVRS assembly surfaces - these include the assembly pitch""" # Rectangular prism around the edge of the pinlattice self.assem_surfs = \ diff --git a/BWR/BWR.ipynb b/BWR/BWR.ipynb index 8860762..269d925 100644 --- a/BWR/BWR.ipynb +++ b/BWR/BWR.ipynb @@ -14,8 +14,17 @@ "metadata": { "id": "EChOeJ7qVUB7" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "env: OPENMC_CROSS_SECTIONS=/opt/xdata/endfb-vii.1-hdf5/cross_sections.xml\n" + ] + } + ], "source": [ + "%env OPENMC_CROSS_SECTIONS /opt/xdata/endfb-vii.1-hdf5/cross_sections.xml\n", "%matplotlib inline\n", "import openmc" ] @@ -72,7 +81,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": { "id": "J90KA6zdol04" }, @@ -84,7 +93,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": { "id": "7UFi6yivaxDS" }, @@ -96,7 +105,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -106,14 +115,14 @@ "fclad_ir = openmc.ZCylinder(r=1.06426/2, name='Clad IR')\n", "fclad_or = openmc.ZCylinder(r=1.22682/2, name='Clad OR')\n", "\n", - "fuel_region = -fuel_or \n", + "fuel_region = -fuel_or\n", "gap_region = +fuel_or & -fclad_ir\n", "fclad_region = +fclad_ir & -fclad_or\n", "fwater_region = pin_cell_box & +fclad_or\n", "\n", "fuel_cell = openmc.Cell(name='fuel')\n", "fuel_cell.fill = uo2\n", - "fuel_cell.region = fuel_region \n", + "fuel_cell.region = fuel_region\n", "\n", "gap_cell = openmc.Cell(name='air gap')\n", "gap_cell.region = gap_region\n", @@ -131,29 +140,27 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 8, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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rHusC+B7wQGa+FRGfZ23G88mWx9QJmyIOmfmpKR/iOND7P8b51W0zMWi8EfGTiDgvM09UU8ZX+zzG8ervVyLiCeA3Wdu/nrVRttX6MsciYgvwfuC1Bsa20dCxZmbvuO5l7ZhPVzX6c+puxZpngIsj4sKIOJ21g2iNngHocRC4ubp8M3DKzCcizoqIM6rLW4HfAV5oaHyjbKver+EzwONZHVFr2NCxbthnvwZ4scHxjesg8NnqrMXlwJs9u6D1a/sIbQNHgK9jbd/sLeAnwKPV7R8EDm04Evwj1v73vaPF8Z4D/DPwY+Ax4Ozq9iXg3uryx4DnWDv6/hxwa8NjPGVbAXcB11SX3wf8LbACfB+4qMXtOWysXwQOV9vyX4DfaHGsDwAngP+rfmZvBW4DbqvuD+Ce6mt5jj5n3+r648unJRW5WyGpyDhIKjIOkoqMg6Qi4yCpyDhIKjIOkor+Hy26s80pblM5AAAAAElFTkSuQmCC\n", + "image/png": 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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -163,7 +170,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -173,7 +180,7 @@ "wclad_or = openmc.ZCylinder(r=1.50114/2)\n", "\n", "wwater_inner_region = -water_or\n", - "wclad_region = -wclad_or & +water_or \n", + "wclad_region = -wclad_or & +water_or\n", "wwater_outer_region = pin_cell_box & +wclad_or\n", "\n", "wwater_inner_cell = openmc.Cell(name='wwater_inner')\n", @@ -182,7 +189,7 @@ "\n", "wclad_cell = openmc.Cell(name='wclad')\n", "wclad_cell.fill = zircaloy\n", - "wclad_cell.region = wclad_region \n", + "wclad_cell.region = wclad_region\n", "\n", "wwater_outer_cell = openmc.Cell(name='wwater_outer')\n", "wwater_outer_cell.fill = water\n", @@ -193,7 +200,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -212,7 +219,7 @@ "\n", "corner_fuel_cell = openmc.Cell(name='fuel')\n", "corner_fuel_cell.fill = uo2\n", - "corner_fuel_cell.region = -corner_fuel_or \n", + "corner_fuel_cell.region = -corner_fuel_or\n", "\n", "corner_gap_cell = openmc.Cell(name='air gap')\n", "corner_gap_cell.region = -corner_clad_ir & +corner_fuel_or\n", @@ -224,7 +231,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -233,7 +240,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -244,7 +251,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -261,7 +268,7 @@ "\n", "ur_corner_fuel_cell = openmc.Cell(name='ur fuel')\n", "ur_corner_fuel_cell.fill = uo2\n", - "ur_corner_fuel_cell.region = -ur_corner_fuel_or \n", + "ur_corner_fuel_cell.region = -ur_corner_fuel_or\n", "\n", "ur_corner_gap_cell = openmc.Cell(name='ul air gap')\n", "ur_corner_gap_cell.region = -ur_corner_clad_ir & +ur_corner_fuel_or\n", @@ -286,15 +293,15 @@ "\n", "ur_sleave_ver_water_cell = openmc.Cell(name='ur vertically-equivalent sleave water')\n", "ur_sleave_ver_water_cell.region = pin_cell_box & -ur_sleave_hor_bound & +ur_sleave_ver_bound & +ur_sleave_ir\n", - "ur_sleave_ver_water_cell.fill = water \n", + "ur_sleave_ver_water_cell.fill = water\n", "\n", "ur_opposite_water_cell = openmc.Cell(name='ur opposite water')\n", "ur_opposite_water_cell.region = pin_cell_box & -ur_sleave_hor_bound & -ur_sleave_ver_bound & +ur_sleave_ir\n", - "ur_opposite_water_cell.fill = water \n", + "ur_opposite_water_cell.fill = water\n", "\n", "ur_sleave_hor_water_cell = openmc.Cell(name='ur horizontally-equivalent sleave water')\n", "ur_sleave_hor_water_cell.region = pin_cell_box & +ur_sleave_hor_bound & -ur_sleave_ver_bound & +ur_sleave_ir\n", - "ur_sleave_hor_water_cell.fill = water \n", + "ur_sleave_hor_water_cell.fill = water\n", "\n", "ur_inner_water_cell = openmc.Cell(name='ur inner water cell')\n", "ur_inner_water_cell.region = pin_cell_box & -ur_sleave_ir & +ur_corner_clad_or\n", @@ -305,29 +312,27 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 14, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -337,7 +342,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "metadata": { "scrolled": true }, @@ -349,7 +354,7 @@ "\n", "ul_corner_fuel_cell = openmc.Cell(name='ul fuel')\n", "ul_corner_fuel_cell.fill = uo2\n", - "ul_corner_fuel_cell.region = -ul_corner_fuel_or \n", + "ul_corner_fuel_cell.region = -ul_corner_fuel_or\n", "\n", "ul_corner_gap_cell = openmc.Cell(name='ul air gap')\n", "ul_corner_gap_cell.region = -ul_corner_clad_ir & +ul_corner_fuel_or\n", @@ -374,15 +379,15 @@ "\n", "ul_sleave_ver_water_cell = openmc.Cell(name='ul vertically-equivalent sleave water')\n", "ul_sleave_ver_water_cell.region = pin_cell_box & +ul_sleave_hor_bound & +ul_sleave_ver_bound & +ul_sleave_ir\n", - "ul_sleave_ver_water_cell.fill = water \n", + "ul_sleave_ver_water_cell.fill = water\n", "\n", "ul_opposite_water_cell = openmc.Cell(name='ul opposite water')\n", "ul_opposite_water_cell.region = pin_cell_box & +ul_sleave_hor_bound & -ul_sleave_ver_bound & +ul_sleave_ir\n", - "ul_opposite_water_cell.fill = water \n", + "ul_opposite_water_cell.fill = water\n", "\n", "ul_sleave_hor_water_cell = openmc.Cell(name='ul horizontally-equivalent sleave water')\n", "ul_sleave_hor_water_cell.region = pin_cell_box & -ul_sleave_hor_bound & -ul_sleave_ver_bound & +ul_sleave_ir\n", - "ul_sleave_hor_water_cell.fill = water \n", + "ul_sleave_hor_water_cell.fill = water\n", "\n", "ul_inner_water_cell = openmc.Cell(name='ul inner water cell')\n", "ul_inner_water_cell.region = pin_cell_box & -ul_sleave_ir & +ul_corner_clad_or\n", @@ -393,29 +398,27 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 16, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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x066XnZ0Nu92O77//Hi+//DIA4LvvvoPdbkdOTo7Xz/fgwQN0dXUhISFB7lBJBiUjoQRGQXmKv5TZ3d2NU6dOARh7KTMlJcXtpcwlS5agvLwcmzdvxtDQECwWC7Zs2YKEhAT8+eefOHDgAGw2Gzo6OhAdHT3tc/KlzMDRWij0HISwuOYgxzfffIO9e/ciLy8PAPDGG2+gsrLSbZ07d+7AbrcDACIiIvDjjz/i/PnzGBgYQEJCAtatW4e6ujqvwkCBpZXZhJ6joGd8b4XC9DxzmIzSsQjFGGjlKNPETVBqYRzU4WswQjEEIlo5yhgHxoE0RitHGd+VSUR+YxyISIhxICIhxoGIhBgHIhJiHIhIiHEgIiHGgYiEGAciEmIciEiIcSAiIcaBiIQYByISYhyISIhxICIhRT8mjrTzPn4iuThzICIhxoGIhBgHIhJiHIhIiHEgIiHGgYiEGAciEmIciEiIcSAiIcaBiIQYByISUjQOR48eRU5ODubMmYPY2FivtpEkCRaLBYmJiZg9ezbWrl2Ln3/+WclhEpGAonEYGRnB1q1bsXv3bq+3+fzzz3HixAlUVlbi9u3biI+Px+uvv47BwUEFR0pEHqQgOHv2rGQymaZd79mzZ1J8fLz06aefupY9fvxYMplMUk1NjXCbx48fS3a73fXo6uqSAEh2uz1QwycKGXa73evjQ1PXHDo7O9Hb24u8vDzXMqPRiDVr1qC5uVm4TXl5OUwmk+uRlJQUrOEShTRNxaG3txcAYDab3ZabzWbXv5uorKwMdrvd9ejq6lJ8nEThQHYcLBYLDAbDlI+Wlha/BmUwGNy+liTJY5mT0WhETEyM24OI/Cf7k6D27NmD7du3T7lOamqqT4OJj48HMDaDSEhIcC3v6+vzmE0QkbJkxyEuLg5xcXFKjAVpaWmIj4+H1WrFypUrAYy94tHU1ITPPvtMkeckIjFFrznYbDa0t7fDZrNhdHQU7e3taG9vx9DQkGudJUuW4NKlSwDGTidKSkpw7NgxXLp0CT/99BOKioowZ84c7NixQ8mhEtEEin7A7CeffIKvvvrK9bVzNtDQ0IC1a9cCAO7cuQO73e5a54MPPsC///6L999/Hw8fPkRWVhauXbuG6OhoJYdKRBMYJCm0Ph/Z4XDAZDLBbrfz4iTRBHKOD029lElE2sE4EJEQ40BEQowDEQkxDkQkxDgQkRDjQERCjAMRCTEORCTEOBCREONAREKKvvFKDc63ijgcDpVHQqQ9zuPCm7dUhVwcnJ9Szc+SJJrc4OAgTCbTlOuE3Lsynz17hu7ubkRHR0/60XJyOBwOJCUloauri+/y9AH3n38Cvf8kScLg4CASExMxY8bUVxVCbuYwY8YMLFy4MODfl59P6R/uP/8Ecv9NN2Nw4gVJIhJiHIhIiHGYhtFoxKFDh2A0GtUeii5x//lHzf0XchckiSgwOHMgIiHGgYiEGAciEmIciEiIcSAiIcZBpqNHjyInJwdz5sxBbGys2sPRvKqqKqSlpSEqKgoZGRm4ceOG2kPSjevXr2Pjxo1ITEyEwWDA5cuXg/r8jINMIyMj2Lp1K3bv3q32UDSvrq4OJSUlOHjwINra2pCbm4v8/HzYbDa1h6YLjx49wooVK1BZWanK8/M+Bx+dO3cOJSUlGBgYUHsompWVlYVVq1ahurratSw9PR2bNm1CeXm5iiPTH4PBgEuXLmHTpk1Be07OHEgRIyMjaG1tRV5entvyvLw8NDc3qzQqkoNxIEX09/djdHQUZrPZbbnZbEZvb69KoyI5GAcAFosFBoNhykdLS4vaw9SliZ+pIUlSQD5ng5QXcp/n4Is9e/Zg+/btU66TmpoanMGEiLi4OERERHjMEvr6+jxmE6RNjAPGfpHj4uLUHkZIiYyMREZGBqxWKzZv3uxabrVa8eabb6o4MvIW4yCTzWbDP//8A5vNhtHRUbS3twMAXnzxRcydO1fdwWlMaWkpCgoKkJmZiezsbNTW1sJms6G4uFjtoenC0NAQ/vjjD9fXnZ2daG9vx7x585CcnKz8ACSSpbCwUALg8WhoaFB7aJp08uRJKSUlRYqMjJRWrVolNTU1qT0k3WhoaBD+rhUWFgbl+XmfAxEJ8dUKIhJiHIhIiHEgIiHGgYiEGAciEmIciEiIcSAiIcaBiIQYByISYhyISIhxICKh/wc9t6r9vkjrpAAAAABJRU5ErkJggg==", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -425,7 +428,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -435,7 +438,7 @@ "\n", "ll_corner_fuel_cell = openmc.Cell(name='ll fuel')\n", "ll_corner_fuel_cell.fill = uo2\n", - "ll_corner_fuel_cell.region = -ll_corner_fuel_or \n", + "ll_corner_fuel_cell.region = -ll_corner_fuel_or\n", "\n", "ll_corner_gap_cell = openmc.Cell(name='ll air gap')\n", "ll_corner_gap_cell.region = -ll_corner_clad_ir & +ll_corner_fuel_or\n", @@ -460,15 +463,15 @@ "\n", "ll_sleave_ver_water_cell = openmc.Cell(name='ul vertically-equivalent sleave water')\n", "ll_sleave_ver_water_cell.region = pin_cell_box & +ll_sleave_hor_bound & -ll_sleave_ver_bound & +ll_sleave_ir\n", - "ll_sleave_ver_water_cell.fill = water \n", + "ll_sleave_ver_water_cell.fill = water\n", "\n", "ll_opposite_water_cell = openmc.Cell(name='ul opposite water')\n", "ll_opposite_water_cell.region = pin_cell_box & +ll_sleave_hor_bound & +ll_sleave_ver_bound & +ll_sleave_ir\n", - "ll_opposite_water_cell.fill = water \n", + "ll_opposite_water_cell.fill = water\n", "\n", "ll_sleave_hor_water_cell = openmc.Cell(name='ul horizontally-equivalent sleave water')\n", "ll_sleave_hor_water_cell.region = pin_cell_box & -ll_sleave_hor_bound & +ll_sleave_ver_bound & +ll_sleave_ir\n", - "ll_sleave_hor_water_cell.fill = water \n", + "ll_sleave_hor_water_cell.fill = water\n", "\n", "ll_inner_water_cell = openmc.Cell(name='ul inner water cell')\n", "ll_inner_water_cell.region = pin_cell_box & -ll_sleave_ir & +ll_corner_clad_or\n", @@ -479,29 +482,27 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 18, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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rLr8LuKvHY70B+EwX4yuM9w3Aa4GHJtx/DfAPQABXAt9ucjwrP3PIzIcz85EZi10BnMjMRzPzZ8CdwMHmR1d0EDhcXT4MvLWjcUyym201+ne4G7gqIqLFMe7o0891psz8JvDUlEUOAl/Kbd8CXhoRFzU1npWPwy5dDDw+cv1kdVsXXpaZT1SX/xt42YTlXhwRWxHxrYh4aztDA3a3rZ5fJre/SPkZ4MJWRjdhHJVJP9e3V9P0uyPi0naGtpBWf0+X+iLdvoiIe4GXF+66KTO/1vZ4Zpk23tErmZkRMelc8ysz81REXAbcFxEPZuYP6h7rGvg6cEdmPhsRH2B7xvOmjsfUCysRh8x885IPcQoY/Rfjkuq2Rkwbb0T8MCIuyswnqinjjyY8xqnqv49GxDeA32B7/7ppu9lWO8ucjIhzgZcAT7YwtnEzx5qZo+O6je1jPn3V6u+puxXb7gcuj4hXRcR5bB9Ea/UMwIgjwHury+8Fzpr5RMT5EfGi6vIe4LeB4y2NbzfbavTv8A7gvqyOqLVs5ljH9tmvBR5ucXzzOgK8pzprcSXwzMguaP26PkLbwhHgt7G9b/Ys8EPgnur2VwBHx44Ef4/tf31v6nC8FwL/BHwfuBe4oLp9A7ituvx64EG2j74/CLyv5TGeta2AjwDXVpdfDPwNcAL4V+CyDrfnrLF+FDhWbct/Bn6tw7HeATwB/F/1O/s+4IPAB6v7A/hs9Xd5kAln3+r648unJRW5WyGpyDhIKjIOkoqMg6Qi4yCpyDhIKjIOkor+H8DQSANkBodFAAAAAElFTkSuQmCC\n", + "image/png": 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u7m6cOHECwNilzKSkJKdLmUuWLEFZWRk2bdqEoaEhmM1mbN68GXFxcfjzzz+xf/9+WCwWtLe3IzIyctrnVNulzIlHUEq949IXgZhIbaHQchBC4pyDHN988w327NmDnJwcAMAbb7yBiooKp3U6OjpgtVoBAGFhYfjpp59w/vx5DAwMIC4uDmvXrkVNTY1bYQhlvppBjKeW2YSWo6Blis4cAkHtMwdA2b+TqcQMYiKlYxGMMVDLXqaKm6ACRQtxALQfiIk8DUYwhkBELXsZ46CBOADK/6XtQESCxNSyl8nZP/iuzABSeudVOj4U3BiHAPNHIBgJ8gTjoAL+mP4zECQX46AS/goEI0HuYhxUxF8nEBkIcgfjoDL+DAQjQVNhHFTIn5cgGQmaDOOgUv6+R4GRoIkYBxULxE1MjATZMQ4qF6i7HO2RYChCF+OgAYG+DZqRCE38i1caYQ9EIHfS8c8d6GCR8hgHjVHqE6XkmjgGxiL4MA4apJZAjMdYBB/GQaPUcJgxlcnGxWhoB+OgMOXfx6+tnW17oAdAbuPVCiISYhyISIhxICIhxoGIhBgHIhJiHIhIiHEgIiHGgYiEGAciEmIciEiIcSAiIUXjcPjwYWRlZWHOnDmIjo52axtJkmA2mxEfH4/Zs2djzZo1+OUXbb1/gCgYKBqHkZERbNmyBbt27XJ7my+++ALHjh1DRUUFbt++jdjYWLz++usYHBxUcKRE5ELygzNnzkgGg2Ha9Z49eybFxsZKn332mWPZ48ePJYPBIFVXVwu3efz4sWS1Wh2Prq4uCYBktVp9NXyioGG1Wt3eP1R1zqGzsxO9vb3IyclxLNPr9Vi9ejWampqE25SVlcFgMDgeCQkJ/houUVBTVRx6e3sBAEaj0Wm50Wh0/LuJSkpKYLVaHY+uri7Fx0kUCmTHwWw2Q6fTTflobm72alA6nc7pa0mSXJbZ6fV6REVFOT2IyHuyPwlq9+7d2LZt25TrJCcnezSY2NhYAGMziLi4OMfyvr4+l9kEESlLdhxiYmIQExOjxFiQkpKC2NhY1NXVYcWKFQDGrng0Njbi888/V+Q5iUhM0XMOFosFbW1tsFgsGB0dRVtbG9ra2jA0NORYZ8mSJbh06RKAscOJoqIiHDlyBJcuXcLPP/+MgoICzJkzB9u389MHifxJ0Q+Y/fTTT3Hu3DnH1/bZQH19PdasWQMA6OjogNVqdazz4Ycf4t9//8UHH3yAhw8fIiMjA9euXUNkZKSSQyWiCXSSpPznI/uTzWaDwWCA1WrlyUmiCeTsH6q6lElE6sE4EJEQ40BEQowDEQkxDkQkxDgQkRDjQERCjAMRCTEORCTEOBCREONAREKKvvEqEOxvFbHZbAEeCZH62PcLd95SFXRxsH9KNT9Lkmhyg4ODMBgMU64TdO/KfPbsGbq7uxEZGTnpR8vJYbPZkJCQgK6uLr7L0wN8/bzj69dPkiQMDg4iPj4eM2ZMfVYh6GYOM2bMwMKFC33+ffn5lN7h6+cdX75+080Y7HhCkoiEGAciEmIcpqHX61FaWgq9Xh/ooWgSXz/vBPL1C7oTkkTkG5w5EJEQ40BEQowDEQkxDkQkxDgQkRDjINPhw4eRlZWFOXPmIDo6OtDDUb3KykqkpKQgIiICJpMJN27cCPSQNOP69evYsGED4uPjodPpcPnyZb8+P+Mg08jICLZs2YJdu3YFeiiqV1NTg6KiIhw4cACtra3Izs5Gbm4uLBZLoIemCY8ePcLy5ctRUVERkOfnfQ4eOnv2LIqKijAwMBDooahWRkYGVq5ciaqqKsey1NRUbNy4EWVlZQEcmfbodDpcunQJGzdu9NtzcuZAihgZGUFLSwtycnKclufk5KCpqSlAoyI5GAdSRH9/P0ZHR2E0Gp2WG41G9Pb2BmhUJAfjAMBsNkOn0035aG5uDvQwNWniZ2pIkuSTz9kg5QXd5zl4Yvfu3di2bduU6yQnJ/tnMEEiJiYGYWFhLrOEvr4+l9kEqRPjgLFf5JiYmEAPI6iEh4fDZDKhrq4OmzZtciyvq6vDm2++GcCRkbsYB5ksFgv++ecfWCwWjI6Ooq2tDQDw0ksvYe7cuYEdnMoUFxcjLy8P6enpyMzMxMmTJ2GxWFBYWBjooWnC0NAQ/vjjD8fXnZ2daGtrw7x585CYmKj8ACSSJT8/XwLg8qivrw/00FTp+PHjUlJSkhQeHi6tXLlSamxsDPSQNKO+vl74u5afn++X5+d9DkQkxKsVRCTEOBCREONAREKMAxEJMQ5EJMQ4EJEQ40BEQowDEQkxDkQkxDgQkRDjQERC/w93kc+s2pwp7QAAAABJRU5ErkJggg==", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -511,7 +512,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -521,7 +522,7 @@ "\n", "lr_corner_fuel_cell = openmc.Cell(name='lr fuel')\n", "lr_corner_fuel_cell.fill = uo2\n", - "lr_corner_fuel_cell.region = -lr_corner_fuel_or \n", + "lr_corner_fuel_cell.region = -lr_corner_fuel_or\n", "\n", "lr_corner_gap_cell = openmc.Cell(name='lr air gap')\n", "lr_corner_gap_cell.region = -lr_corner_clad_ir & +lr_corner_fuel_or\n", @@ -546,15 +547,15 @@ "\n", "lr_sleave_ver_water_cell = openmc.Cell(name='ur vertically-equivalent sleave water')\n", "lr_sleave_ver_water_cell.region = pin_cell_box & -lr_sleave_hor_bound & -lr_sleave_ver_bound & +lr_sleave_ir\n", - "lr_sleave_ver_water_cell.fill = water \n", + "lr_sleave_ver_water_cell.fill = water\n", "\n", "lr_opposite_water_cell = openmc.Cell(name='ur opposite water')\n", "lr_opposite_water_cell.region = pin_cell_box & -lr_sleave_hor_bound & +lr_sleave_ver_bound & +lr_sleave_ir\n", - "lr_opposite_water_cell.fill = water \n", + "lr_opposite_water_cell.fill = water\n", "\n", "lr_sleave_hor_water_cell = openmc.Cell(name='ur horizontally-equivalent sleave water')\n", "lr_sleave_hor_water_cell.region = pin_cell_box & +lr_sleave_hor_bound & +lr_sleave_ver_bound & +lr_sleave_ir\n", - "lr_sleave_hor_water_cell.fill = water \n", + "lr_sleave_hor_water_cell.fill = water\n", "\n", "lr_inner_water_cell = openmc.Cell(name='ur inner water cell')\n", "lr_inner_water_cell.region = pin_cell_box & -lr_sleave_ir & +lr_corner_clad_or\n", @@ -565,29 +566,27 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 20, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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+ "image/png": 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -597,18 +596,9 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 20, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/miriamrathbun/codes/openmc-mak/openmc/surface.py:1510: FutureWarning: \"ZCylinder(...) accepts an argument named 'r', not 'R'. Future versions of OpenMC will not accept the capitalized version.\n", - " warn(_WARNING_UPPER.format(type(self).__name__, 'r', 'R'),\n" - ] - } - ], + "outputs": [], "source": [ "quarter_pitch = pitch * 8\n", "\n", @@ -643,29 +633,27 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 25, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -675,7 +663,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -685,7 +673,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 23, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -709,7 +697,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 24, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -746,227 +734,189 @@ " ######## %%%%%%%%%%%%%%\n", " %%%%%%%%%%%\n", "\n", - " | The OpenMC Monte Carlo Code\n", - " Copyright | 2011-2020 MIT and OpenMC contributors\n", - " License | https://docs.openmc.org/en/latest/license.html\n", - " Version | 0.12.1-dev\n", - " Git SHA1 | 0228ddba1d6399e654a295e51539590f076b2a3c\n", - " Date/Time | 2021-04-12 15:15:21\n", - " OpenMP Threads | 8\n", + " | The OpenMC Monte Carlo Code\n", + " Copyright | 2011-2023 MIT, UChicago Argonne LLC, and contributors\n", + " License | https://docs.openmc.org/en/latest/license.html\n", + " Version | 0.13.3\n", + " Git SHA1 | 50e39a4e20dc9e0f3d7ccf07333f6a5e6c797c8c\n", + " Date/Time | 2023-10-31 21:52:13\n", + " OpenMP Threads | 4\n", "\n", " Reading settings XML file...\n", " Reading cross sections XML file...\n", " Reading materials XML file...\n", " Reading geometry XML file...\n", - " Reading U234 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/U234.h5\n", - " Reading U235 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/U235.h5\n", - " Reading U238 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/U238.h5\n", - " Reading U236 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/U236.h5\n", - " Reading O16 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/O16.h5\n", - " Reading O17 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/O17.h5\n", - " Reading Zr90 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Zr90.h5\n", - " Reading C0 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/C0.h5\n", - " Reading Si28 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Si28.h5\n", - " Reading Si29 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Si29.h5\n", - " Reading Si30 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Si30.h5\n", - " Reading Mn55 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Mn55.h5\n", - " Reading P31 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/P31.h5\n", - " Reading S32 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/S32.h5\n", - " Reading S33 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/S33.h5\n", - " Reading S34 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/S34.h5\n", - " Reading S36 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/S36.h5\n", - " Reading Cr50 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Cr50.h5\n", - " Reading Cr52 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Cr52.h5\n", - " Reading Cr53 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Cr53.h5\n", - " Reading Cr54 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Cr54.h5\n", - " Reading Ni58 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Ni58.h5\n", - " Reading Ni60 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Ni60.h5\n", - " Reading Ni61 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Ni61.h5\n", - " Reading Ni62 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Ni62.h5\n", - " Reading Ni64 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Ni64.h5\n", - " Reading Fe54 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Fe54.h5\n", - " Reading Fe56 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Fe56.h5\n", - " Reading Fe57 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Fe57.h5\n", - " Reading Fe58 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Fe58.h5\n", - " Reading H1 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/H1.h5\n", - " Reading H2 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/H2.h5\n", - " Reading c_H_in_H2O from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/c_H_in_H2O.h5\n", - " Minimum neutron data temperature: 294.0 K\n", - " Maximum neutron data temperature: 294.0 K\n", + " Reading U234 from /opt/xdata/endfb-vii.1-hdf5/neutron/U234.h5\n", + " Reading U235 from /opt/xdata/endfb-vii.1-hdf5/neutron/U235.h5\n", + " Reading U238 from /opt/xdata/endfb-vii.1-hdf5/neutron/U238.h5\n", + " Reading U236 from /opt/xdata/endfb-vii.1-hdf5/neutron/U236.h5\n", + " Reading O16 from /opt/xdata/endfb-vii.1-hdf5/neutron/O16.h5\n", + " Reading O17 from /opt/xdata/endfb-vii.1-hdf5/neutron/O17.h5\n", + " Reading Zr90 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr90.h5\n", + " Reading C0 from /opt/xdata/endfb-vii.1-hdf5/neutron/C0.h5\n", + " Reading Si28 from /opt/xdata/endfb-vii.1-hdf5/neutron/Si28.h5\n", + " Reading Si29 from /opt/xdata/endfb-vii.1-hdf5/neutron/Si29.h5\n", + " Reading Si30 from /opt/xdata/endfb-vii.1-hdf5/neutron/Si30.h5\n", + " Reading Mn55 from /opt/xdata/endfb-vii.1-hdf5/neutron/Mn55.h5\n", + " Reading P31 from /opt/xdata/endfb-vii.1-hdf5/neutron/P31.h5\n", + " Reading S32 from /opt/xdata/endfb-vii.1-hdf5/neutron/S32.h5\n", + " Reading S33 from /opt/xdata/endfb-vii.1-hdf5/neutron/S33.h5\n", + " Reading S34 from /opt/xdata/endfb-vii.1-hdf5/neutron/S34.h5\n", + " Reading S36 from /opt/xdata/endfb-vii.1-hdf5/neutron/S36.h5\n", + " Reading Cr50 from /opt/xdata/endfb-vii.1-hdf5/neutron/Cr50.h5\n", + " Reading Cr52 from /opt/xdata/endfb-vii.1-hdf5/neutron/Cr52.h5\n", + " Reading Cr53 from /opt/xdata/endfb-vii.1-hdf5/neutron/Cr53.h5\n", + " Reading Cr54 from /opt/xdata/endfb-vii.1-hdf5/neutron/Cr54.h5\n", + " Reading Ni58 from /opt/xdata/endfb-vii.1-hdf5/neutron/Ni58.h5\n", + " Reading Ni60 from /opt/xdata/endfb-vii.1-hdf5/neutron/Ni60.h5\n", + " Reading Ni61 from /opt/xdata/endfb-vii.1-hdf5/neutron/Ni61.h5\n", + " Reading Ni62 from /opt/xdata/endfb-vii.1-hdf5/neutron/Ni62.h5\n", + " Reading Ni64 from /opt/xdata/endfb-vii.1-hdf5/neutron/Ni64.h5\n", + " Reading Fe54 from /opt/xdata/endfb-vii.1-hdf5/neutron/Fe54.h5\n", + " Reading Fe56 from /opt/xdata/endfb-vii.1-hdf5/neutron/Fe56.h5\n", + " Reading Fe57 from /opt/xdata/endfb-vii.1-hdf5/neutron/Fe57.h5\n", + " Reading Fe58 from /opt/xdata/endfb-vii.1-hdf5/neutron/Fe58.h5\n", + " Reading H1 from /opt/xdata/endfb-vii.1-hdf5/neutron/H1.h5\n", + " Reading H2 from /opt/xdata/endfb-vii.1-hdf5/neutron/H2.h5\n", + " Reading c_H_in_H2O from /opt/xdata/endfb-vii.1-hdf5/neutron/c_H_in_H2O.h5\n", + " Minimum neutron data temperature: 250 K\n", + " Maximum neutron data temperature: 2500 K\n", " Preparing distributed cell instances...\n", + " Reading plot XML file...\n", " Writing summary.h5 file...\n", - " Maximum neutron transport energy: 20000000.0 eV for U235\n", + " Maximum neutron transport energy: 20000000 eV for U235\n", " Initializing source particles...\n", "\n", " ====================> K EIGENVALUE SIMULATION <====================\n", "\n", " Bat./Gen. k Average k\n", " ========= ======== ====================\n", - " 1/1 1.20596\n", - " 2/1 1.17725\n", - " 3/1 1.22903\n", - " 4/1 1.25595\n", - " 5/1 1.25464\n", - " 6/1 1.19484\n", - " 7/1 1.20845\n", - " 8/1 1.11385\n", - " 9/1 1.20241\n", - " 10/1 1.17714\n", - " 11/1 1.21900\n", - " 12/1 1.24344 1.23122 +/- 0.01222\n", - " 13/1 1.18577 1.21607 +/- 0.01671\n", - " 14/1 1.25341 1.22540 +/- 0.01506\n", - " 15/1 1.16432 1.21319 +/- 0.01689\n", - " 16/1 1.19189 1.20964 +/- 0.01424\n", - " 17/1 1.18475 1.20608 +/- 0.01255\n", - " 18/1 1.23268 1.20941 +/- 0.01137\n", - " 19/1 1.09926 1.19717 +/- 0.01582\n", - " 20/1 1.24832 1.20228 +/- 0.01505\n", - " 21/1 1.13900 1.19653 +/- 0.01478\n", - " 22/1 1.27620 1.20317 +/- 0.01503\n", - " 23/1 1.29588 1.21030 +/- 0.01556\n", - " 24/1 1.14165 1.20540 +/- 0.01522\n", - " 25/1 1.19325 1.20459 +/- 0.01419\n", - " 26/1 1.23371 1.20641 +/- 0.01340\n", - " 27/1 1.23268 1.20795 +/- 0.01268\n", - " 28/1 1.10873 1.20244 +/- 0.01316\n", - " 29/1 1.14639 1.19949 +/- 0.01280\n", - " 30/1 1.24465 1.20175 +/- 0.01235\n", - " 31/1 1.21818 1.20253 +/- 0.01177\n", - " 32/1 1.17997 1.20151 +/- 0.01127\n", - " 33/1 1.19293 1.20113 +/- 0.01078\n", - " 34/1 1.20978 1.20149 +/- 0.01032\n", - " 35/1 1.24639 1.20329 +/- 0.01006\n", - " 36/1 1.19880 1.20312 +/- 0.00967\n", - " 37/1 1.21696 1.20363 +/- 0.00932\n", - " 38/1 1.18314 1.20290 +/- 0.00901\n", - " 39/1 1.16487 1.20159 +/- 0.00879\n", - " 40/1 1.25905 1.20350 +/- 0.00871\n", - " 41/1 1.18639 1.20295 +/- 0.00844\n", - " 42/1 1.25987 1.20473 +/- 0.00836\n", - " 43/1 1.21967 1.20518 +/- 0.00812\n", - " 44/1 1.18532 1.20460 +/- 0.00790\n", - " 45/1 1.10094 1.20164 +/- 0.00822\n", - " 46/1 1.17034 1.20077 +/- 0.00804\n", - " 47/1 1.19107 1.20050 +/- 0.00782\n", - " 48/1 1.17497 1.19983 +/- 0.00764\n", - " 49/1 1.24290 1.20094 +/- 0.00752\n", - " 50/1 1.18399 1.20051 +/- 0.00735\n", - " 51/1 1.25434 1.20183 +/- 0.00728\n", - " 52/1 1.10167 1.19944 +/- 0.00750\n", - " 53/1 1.24434 1.20049 +/- 0.00740\n", - " 54/1 1.23006 1.20116 +/- 0.00726\n", - " 55/1 1.19075 1.20093 +/- 0.00710\n", - " 56/1 1.15255 1.19987 +/- 0.00702\n", - " 57/1 1.22948 1.20050 +/- 0.00690\n", - " 58/1 1.16780 1.19982 +/- 0.00679\n", - " 59/1 1.13035 1.19841 +/- 0.00680\n", - " 60/1 1.24983 1.19943 +/- 0.00674\n", - " 61/1 1.11795 1.19784 +/- 0.00680\n", - " 62/1 1.23461 1.19854 +/- 0.00670\n", - " 63/1 1.17725 1.19814 +/- 0.00659\n", - " 64/1 1.18257 1.19785 +/- 0.00647\n", - " 65/1 1.16513 1.19726 +/- 0.00638\n", - " 66/1 1.23539 1.19794 +/- 0.00630\n", - " 67/1 1.14146 1.19695 +/- 0.00627\n", - " 68/1 1.24386 1.19776 +/- 0.00621\n", - " 69/1 1.15268 1.19699 +/- 0.00615\n", - " 70/1 1.21613 1.19731 +/- 0.00606\n", - " 71/1 1.17274 1.19691 +/- 0.00597\n", - " 72/1 1.18517 1.19672 +/- 0.00588\n", - " 73/1 1.14883 1.19596 +/- 0.00583\n", - " 74/1 1.16359 1.19545 +/- 0.00576\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 75/1 1.19540 1.19545 +/- 0.00567\n", - " 76/1 1.15401 1.19483 +/- 0.00562\n", - " 77/1 1.33939 1.19698 +/- 0.00594\n", - " 78/1 1.24558 1.19770 +/- 0.00590\n", - " 79/1 1.20401 1.19779 +/- 0.00581\n", - " 80/1 1.15683 1.19720 +/- 0.00576\n", - " 81/1 1.19522 1.19718 +/- 0.00568\n", - " 82/1 1.24057 1.19778 +/- 0.00563\n", - " 83/1 1.25570 1.19857 +/- 0.00561\n", - " 84/1 1.19560 1.19853 +/- 0.00553\n", - " 85/1 1.22024 1.19882 +/- 0.00547\n", - " 86/1 1.20019 1.19884 +/- 0.00539\n", - " 87/1 1.18864 1.19871 +/- 0.00533\n", - " 88/1 1.16494 1.19827 +/- 0.00527\n", - " 89/1 1.23639 1.19876 +/- 0.00523\n", - " 90/1 1.19507 1.19871 +/- 0.00516\n", - " 91/1 1.19785 1.19870 +/- 0.00510\n", - " 92/1 1.24397 1.19925 +/- 0.00507\n", - " 93/1 1.17376 1.19894 +/- 0.00502\n", - " 94/1 1.29989 1.20015 +/- 0.00510\n", - " 95/1 1.23815 1.20059 +/- 0.00506\n", - " 96/1 1.22451 1.20087 +/- 0.00501\n", - " 97/1 1.15918 1.20039 +/- 0.00497\n", - " 98/1 1.13020 1.19959 +/- 0.00498\n", - " 99/1 1.16169 1.19917 +/- 0.00494\n", - " 100/1 1.23024 1.19951 +/- 0.00490\n", + " 1/1 1.18695\n", + " 2/1 1.18586\n", + " 3/1 1.18066\n", + " 4/1 1.23704\n", + " 5/1 1.34124\n", + " 6/1 1.20816\n", + " 7/1 1.13376\n", + " 8/1 1.23014\n", + " 9/1 1.21221\n", + " 10/1 1.23195\n", + " 11/1 1.24414\n", + " 12/1 1.26430 1.25422 +/- 0.01008\n", + " 13/1 1.22695 1.24513 +/- 0.01079\n", + " 14/1 1.18946 1.23122 +/- 0.01587\n", + " 15/1 1.16584 1.21814 +/- 0.01795\n", + " 16/1 1.23050 1.22020 +/- 0.01480\n", + " 17/1 1.23301 1.22203 +/- 0.01264\n", + " 18/1 1.21507 1.22116 +/- 0.01098\n", + " 19/1 1.23984 1.22324 +/- 0.00990\n", + " 20/1 1.20697 1.22161 +/- 0.00901\n", + " 21/1 1.16825 1.21676 +/- 0.00948\n", + " 22/1 1.18190 1.21385 +/- 0.00913\n", + " 23/1 1.19190 1.21216 +/- 0.00857\n", + " 24/1 1.18259 1.21005 +/- 0.00821\n", + " 25/1 1.17806 1.20792 +/- 0.00793\n", + " 26/1 1.19388 1.20704 +/- 0.00747\n", + " 27/1 1.32180 1.21379 +/- 0.00974\n", + " 28/1 1.20340 1.21322 +/- 0.00920\n", + " 29/1 1.16900 1.21089 +/- 0.00901\n", + " 30/1 1.13895 1.20729 +/- 0.00927\n", + " 31/1 1.28009 1.21076 +/- 0.00948\n", + " 32/1 1.18101 1.20941 +/- 0.00914\n", + " 33/1 1.20429 1.20918 +/- 0.00873\n", + " 34/1 1.21962 1.20962 +/- 0.00837\n", + " 35/1 1.15463 1.20742 +/- 0.00833\n", + " 36/1 1.24914 1.20902 +/- 0.00816\n", + " 37/1 1.15683 1.20709 +/- 0.00808\n", + " 38/1 1.30567 1.21061 +/- 0.00855\n", + " 39/1 1.14090 1.20821 +/- 0.00859\n", + " 40/1 1.16673 1.20682 +/- 0.00842\n", + " 41/1 1.23274 1.20766 +/- 0.00818\n", + " 42/1 1.26725 1.20952 +/- 0.00814\n", + " 43/1 1.23986 1.21044 +/- 0.00794\n", + " 44/1 1.23982 1.21131 +/- 0.00775\n", + " 45/1 1.13098 1.20901 +/- 0.00787\n", + " 46/1 1.16702 1.20784 +/- 0.00774\n", + " 47/1 1.18802 1.20731 +/- 0.00754\n", + " 48/1 1.22467 1.20777 +/- 0.00736\n", + " 49/1 1.26050 1.20912 +/- 0.00729\n", + " 50/1 1.17882 1.20836 +/- 0.00715\n", + " 51/1 1.21542 1.20853 +/- 0.00697\n", + " 52/1 1.12269 1.20649 +/- 0.00711\n", + " 53/1 1.28169 1.20824 +/- 0.00716\n", + " 54/1 1.25741 1.20936 +/- 0.00708\n", + " 55/1 1.18334 1.20878 +/- 0.00694\n", + " 56/1 1.18327 1.20822 +/- 0.00681\n", + " 57/1 1.24340 1.20897 +/- 0.00671\n", + " 58/1 1.19818 1.20875 +/- 0.00657\n", + " 59/1 1.24698 1.20953 +/- 0.00648\n", + " 60/1 1.24759 1.21029 +/- 0.00640\n", + " 61/1 1.18303 1.20975 +/- 0.00629\n", + " 62/1 1.22328 1.21001 +/- 0.00618\n", + " 63/1 1.24701 1.21071 +/- 0.00610\n", + " 64/1 1.11837 1.20900 +/- 0.00623\n", + " 65/1 1.19725 1.20879 +/- 0.00611\n", + " 66/1 1.22784 1.20913 +/- 0.00601\n", + " 67/1 1.19362 1.20886 +/- 0.00591\n", + " 68/1 1.21721 1.20900 +/- 0.00581\n", + " 69/1 1.15824 1.20814 +/- 0.00578\n", + " 70/1 1.14602 1.20710 +/- 0.00577\n", + " 71/1 1.14405 1.20607 +/- 0.00577\n", + " 72/1 1.18892 1.20579 +/- 0.00569\n", + " 73/1 1.22762 1.20614 +/- 0.00561\n", + " 74/1 1.17562 1.20566 +/- 0.00554\n", + " 75/1 1.18612 1.20536 +/- 0.00546\n", + " 76/1 1.24534 1.20597 +/- 0.00541\n", + " 77/1 1.20016 1.20588 +/- 0.00533\n", + " 78/1 1.20002 1.20580 +/- 0.00525\n", + " 79/1 1.18411 1.20548 +/- 0.00518\n", + " 80/1 1.12877 1.20439 +/- 0.00523\n", + " 81/1 1.24220 1.20492 +/- 0.00518\n", + " 82/1 1.15698 1.20425 +/- 0.00515\n", + " 83/1 1.18614 1.20400 +/- 0.00509\n", + " 84/1 1.21038 1.20409 +/- 0.00502\n", + " 85/1 1.24440 1.20463 +/- 0.00498\n", + " 86/1 1.20403 1.20462 +/- 0.00491\n", + " 87/1 1.21992 1.20482 +/- 0.00485\n", + " 88/1 1.12710 1.20382 +/- 0.00489\n", + " 89/1 1.17221 1.20342 +/- 0.00485\n", + " 90/1 1.22071 1.20364 +/- 0.00479\n", + " 91/1 1.18175 1.20337 +/- 0.00474\n", + " 92/1 1.26316 1.20410 +/- 0.00474\n", + " 93/1 1.27595 1.20496 +/- 0.00476\n", + " 94/1 1.16567 1.20449 +/- 0.00473\n", + " 95/1 1.23074 1.20480 +/- 0.00468\n", + " 96/1 1.25140 1.20535 +/- 0.00466\n", + " 97/1 1.26655 1.20605 +/- 0.00466\n", + " 98/1 1.19701 1.20595 +/- 0.00460\n", + " 99/1 1.19891 1.20587 +/- 0.00455\n", + " 100/1 1.14200 1.20516 +/- 0.00456\n", " Creating state point statepoint.100.h5...\n", "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", - " Total time for initialization = 8.1559e+00 seconds\n", - " Reading cross sections = 8.0639e+00 seconds\n", - " Total time in simulation = 3.0575e+00 seconds\n", - " Time in transport only = 3.0383e+00 seconds\n", - " Time in inactive batches = 2.5988e-01 seconds\n", - " Time in active batches = 2.7976e+00 seconds\n", - " Time synchronizing fission bank = 3.6140e-03 seconds\n", - " Sampling source sites = 2.9180e-03 seconds\n", - " SEND/RECV source sites = 5.9700e-04 seconds\n", - " Time accumulating tallies = 4.0000e-05 seconds\n", - " Time writing statepoints = 8.9120e-03 seconds\n", - " Total time for finalization = 7.0000e-06 seconds\n", - " Total time elapsed = 1.1256e+01 seconds\n", - " Calculation Rate (inactive) = 38479.0 particles/second\n", - " Calculation Rate (active) = 32170.1 particles/second\n", + " Total time for initialization = 5.4015e+00 seconds\n", + " Reading cross sections = 5.3518e+00 seconds\n", + " Total time in simulation = 4.6274e+00 seconds\n", + " Time in transport only = 4.6037e+00 seconds\n", + " Time in inactive batches = 4.7393e-01 seconds\n", + " Time in active batches = 4.1535e+00 seconds\n", + " Time synchronizing fission bank = 8.0842e-03 seconds\n", + " Sampling source sites = 7.1760e-03 seconds\n", + " SEND/RECV source sites = 8.6601e-04 seconds\n", + " Time accumulating tallies = 4.4106e-05 seconds\n", + " Time writing statepoints = 3.5152e-03 seconds\n", + " Total time for finalization = 9.1700e-07 seconds\n", + " Total time elapsed = 1.0066e+01 seconds\n", + " Calculation Rate (inactive) = 21100.3 particles/second\n", + " Calculation Rate (active) = 21668.6 particles/second\n", "\n", " ============================> RESULTS <============================\n", "\n", - " k-effective (Collision) = 1.20249 +/- 0.00447\n", - " k-effective (Track-length) = 1.19951 +/- 0.00490\n", - " k-effective (Absorption) = 1.20115 +/- 0.00350\n", - " Combined k-effective = 1.20089 +/- 0.00309\n", + " k-effective (Collision) = 1.20082 +/- 0.00390\n", + " k-effective (Track-length) = 1.20516 +/- 0.00456\n", + " k-effective (Absorption) = 1.21266 +/- 0.00357\n", + " Combined k-effective = 1.20776 +/- 0.00315\n", " Leakage Fraction = 0.00000 +/- 0.00000\n", "\n" ] @@ -1006,7 +956,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.0" + "version": "3.11.6" } }, "nbformat": 4, diff --git a/Depletion/chain_simple.xml b/Depletion/chain_simple.xml index 3b94ad5..ae71c58 100644 --- a/Depletion/chain_simple.xml +++ b/Depletion/chain_simple.xml @@ -1,49 +1,23 @@ - + + + 3696.125 4095.822 4477.27 5097.122 29452.1 29781.3 33566.5 33629.4 33865.1 33878.5 34395.3 34408.0 34486.2 34488.2 112780.0 113150.0 162650.0 165740.0 184490.0 197190.0 220502.0 229720.0 247500.0 254740.0 264260.0 288451.0 290270.0 304910.0 305830.0 326000.0 333600.0 342520.0 361850.0 403030.0 414830.0 417633.0 429930.0 433741.0 451630.0 530800.0 546557.0 575970.0 588280.0 616900.0 649850.0 656090.0 679220.0 684600.0 690130.0 707920.0 785480.0 795500.0 797710.0 807200.0 836804.0 960290.0 961430.0 971960.0 972620.0 995090.0 1038760.0 1096860.0 1101580.0 1124000.0 1131511.0 1151510.0 1159900.0 1169040.0 1225600.0 1240470.0 1254800.0 1260409.0 1315770.0 1334800.0 1343660.0 1367890.0 1441800.0 1448350.0 1457560.0 1502790.0 1521990.0 1543700.0 1566410.0 1678027.0 1706459.0 1791196.0 1830690.0 1845300.0 1927300.0 1948490.0 2045880.0 2112400.0 2151500.0 2189400.0 2255457.0 2408650.0 2466070.0 2477100.0 9.714352819815078e-10 7.460941651551526e-09 6.047882056201745e-09 8.510389107205747e-10 3.7979729633684727e-08 7.033747061198817e-08 6.602815946851458e-09 1.2800909198245071e-08 6.513060244589454e-11 8.894667887850525e-11 1.3843783302275766e-09 2.700005498135763e-09 1.2141115256573815e-11 1.654893875618862e-11 3.7007705885806645e-09 2.0186021392258173e-09 2.859686363903241e-09 9.16781804898392e-09 6.896890642354875e-09 9.588360161322631e-09 5.130613770532286e-07 7.06510748729036e-08 8.410842246774237e-09 6.7286737974193905e-09 5.3829390379355124e-08 9.083709626516178e-07 8.915492781580693e-08 9.251926471451662e-09 2.783988783682273e-08 6.728673797419391e-10 1.093409492080651e-08 2.5232526740322717e-10 5.467047460403255e-08 6.812782219887132e-08 8.83138435911295e-08 1.0345335963532313e-06 8.915492781580693e-08 1.623292553627428e-07 9.251926471451663e-08 9.251926471451662e-09 2.0942997194467853e-06 3.784879011048407e-08 1.513951604419363e-08 1.093409492080651e-08 1.337323917237104e-07 2.186818984161302e-08 1.5980600268871052e-08 6.7286737974193905e-09 3.784879011048407e-08 1.9344937167580748e-07 4.457746390790346e-08 6.7286737974193905e-09 5.0465053480645434e-08 1.3457347594838781e-08 1.9597262434983976e-06 1.0093010696129087e-08 4.289529545854862e-08 2.607361096500014e-07 3.53255374364518e-07 4.541854813258089e-08 2.329803302356464e-06 2.607361096500014e-08 4.7100716581935733e-07 1.059766123093554e-06 6.6193328482113254e-06 4.205421123387119e-10 3.027903208838726e-08 2.565306885266143e-07 1.2616263370161358e-08 2.649415307733885e-07 3.3643368987096953e-09 8.410842246774237e-06 1.934493716758075e-08 9.251926471451662e-09 2.2709274066290446e-08 1.7830985563161385e-07 5.046505348064544e-09 9.251926471451663e-08 2.5400743585258203e-06 3.154065842540339e-07 1.093409492080651e-08 7.569758022096815e-09 3.784879011048407e-07 2.8008104681758214e-06 1.2027504412887161e-06 2.26251656438227e-06 1.6989901338483962e-07 1.6821684493548476e-09 8.663167514177466e-08 1.8503852942903323e-08 2.5568960430193683e-07 2.0186021392258175e-08 6.560456952483906e-09 3.784879011048407e-09 1.7999202408096872e-07 2.800810468175822e-07 2.1027105616935597e-08 4.205421123387119e-10 + - + + + 0.0 10000.0 20000.0 50000.0 100000.0 200000.0 300000.0 400000.0 600000.0 800000.0 1000000.0 1220000.0 1.1612176249914943e-11 0.0 3.1976524142990123e-11 0.0 6.418466676129901e-13 1.894551923065874e-10 5.099949011192198e-13 3.170644340540729e-13 2.756798470867507e-12 6.67627508515641e-14 3.711746246444946e-15 0.0 + - - - - - - 283500.0 4.235177914969822e-15 - - - 513971.0 892130.0 1175630.0 6.915023250821416e-10 4.235177914969822e-15 3.870076370575872e-11 - - - - - - - - - - - - - - - - - - - 4470.0 31817.0 32194.0 36304.0 36378.0 37255.0 661657.0 4.372683136122041e-05 9.525884763557368e-05 0.00017377297596020668 1.6633087848867745e-05 3.2112650589648466e-05 1.0158463048637348e-05 0.004069614128287558 - - - 3670.0 26400.0 624216.4 655668.2 660364.2 661404.0 661636.9 0.0003537897992698539 3.7210487357645964e-05 0.00037210482830822686 6.708752100247119e-05 1.4350025269251869e-05 3.08729347663194e-06 4.6173597451093537e-07 - @@ -60,6 +34,9 @@ + + 3065.349 12960.11 13197.49 16125.43 19185.05 19590.0 31600.0 34700.0 41400.0 41960.0 51220.0 54100.0 54250.0 64350.0 72700.0 75020.0 76198.0 90330.0 93795.0 96090.0 105278.0 106074.0 106608.0 106771.0 108948.0 109154.0 109160.0 109395.0 109433.0 115450.0 120350.0 136550.0 140760.0 142400.0 143760.0 150930.0 163330.0 173300.0 182610.0 185715.0 194940.0 198900.0 202110.0 205311.0 215280.0 221380.0 228780.0 233500.0 240870.0 246840.0 266450.0 275129.0 275430.0 281420.0 282920.0 289560.0 291650.0 301700.0 317100.0 343500.0 345900.0 356030.0 387820.0 410290.0 428710.0 448400.0 1.4211820389290126e-18 3.695705148646686e-18 4.752472005970374e-19 4.0825252294602915e-18 8.998127221991115e-19 1.9035285506819052e-21 5.305446177665699e-21 1.1547147563154756e-20 9.362552078233586e-21 1.86835843588509e-20 1.0610892355331398e-20 2.736290732002608e-22 4.776811520523089e-21 3.977552295559136e-21 3.432935762018982e-20 1.872510415646717e-20 2.4966805541956234e-21 1.0265454754703584e-18 1.7575878976520235e-18 2.839974130397521e-20 2.1057468800839102e-19 4.1342252420362975e-19 7.098565272539688e-21 8.20050332279016e-21 5.276915360632628e-20 1.0602918581811435e-19 4.806110066826575e-19 2.0521431485853304e-21 2.375669880669523e-21 9.362552078233586e-21 8.267152210184412e-21 3.745020831293435e-21 6.865871524037964e-20 1.5604253463722645e-21 3.420452359248004e-18 2.4966805541956232e-20 1.5853921519142206e-18 1.8725104156467174e-21 1.0610892355331397e-19 1.7851265962498703e-17 1.966135936429053e-19 1.3107572909527022e-20 3.370518748164091e-19 1.5635461970650089e-18 9.050467008959134e-21 3.745020831293434e-20 2.18459548492117e-21 9.050467008959134e-21 2.3406380195583967e-20 1.6540508671546e-20 1.8725104156467174e-21 1.622842360227155e-20 2.18459548492117e-21 1.8725104156467174e-21 1.8725104156467174e-21 2.18459548492117e-21 1.2483402770978116e-20 1.5604253463722645e-21 3.120850692744529e-22 9.362552078233587e-22 1.2483402770978116e-20 1.5604253463722645e-21 1.2483402770978116e-20 9.362552078233587e-22 3.120850692744529e-22 3.120850692744529e-22 + 2.53000e-02 @@ -70,6 +47,9 @@ + + 3061.32 12959.8 13440.07 16150.05 19148.83 49550.0 90330.0 93795.0 105278.0 106074.0 106608.0 106771.0 108948.0 109154.0 109395.0 109433.0 113500.0 5.3130501476983077e-20 1.4936931167066328e-19 1.943509007980312e-20 1.8224649880365157e-19 4.0452400597373603e-20 3.146222282132249e-21 3.300026341588747e-23 5.444173877278485e-23 6.3486292118621375e-24 1.2400176384733938e-23 2.124537722121886e-25 2.4542156071495764e-25 1.5792541400719878e-24 3.1731991718126067e-24 6.141568457919309e-26 7.109808533300877e-26 5.014291762148272e-22 + 2.53000e-02 @@ -78,4 +58,4 @@ - + \ No newline at end of file diff --git a/Depletion/depletion.ipynb b/Depletion/depletion.ipynb index 51bd4a5..ef0fe98 100644 --- a/Depletion/depletion.ipynb +++ b/Depletion/depletion.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Depletion\n", + "# Pincell Depletion\n", "This notebook is intended to introduce the reader to the depletion interface contained in OpenMC. It is recommended that you are moderately familiar with building models using the OpenMC Python API. The earlier examples are excellent starting points, as this notebook will not focus heavily on model building.\n", "\n", "If you have a real power reactor, the fuel composition is constantly changing as fission events produce energy, remove some fissile isotopes, and produce fission products. Other reactions, like $(n, \\alpha)$ and $(n, \\gamma)$ will alter the composition as well. Furthermore, some nuclides undergo spontaneous decay with widely ranging frequencies. Depletion is the process of modeling this behavior.\n", @@ -16,8 +16,17 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "env: OPENMC_CROSS_SECTIONS=/opt/xdata/endfb-vii.1-hdf5/cross_sections.xml\n" + ] + } + ], "source": [ + "%env OPENMC_CROSS_SECTIONS /opt/xdata/endfb-vii.1-hdf5/cross_sections.xml\n", "%matplotlib inline\n", "import math\n", "import openmc" @@ -54,7 +63,8 @@ "water.add_element(\"H\", 2)\n", "water.set_density(\"g/cc\", 1.0)\n", "water.add_s_alpha_beta(\"c_H_in_H2O\")\n", - "materials = openmc.Materials([fuel, clad, water])" + "materials = openmc.Materials([fuel, clad, water])\n", + "# materials.cross_sections = \"/opt/xdata/endfb-vii.1-hdf5/cross_sections.xml\"" ] }, { @@ -125,7 +135,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 6, @@ -134,14 +144,12 @@ }, { "data": { - "image/png": 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -289,7 +297,7 @@ ] }, { - "cell_type": "raw", + "cell_type": "markdown", "metadata": {}, "source": [ "We will then simulate our fuel pin operating at linear power of 174 W/cm, or 174 W given a unit height for our problem." @@ -377,43 +385,43 @@ " %%%%%%%%%%%\n", "\n", " | The OpenMC Monte Carlo Code\n", - " Copyright | 2011-2022 MIT, UChicago Argonne LLC, and contributors\n", + " Copyright | 2011-2023 MIT, UChicago Argonne LLC, and contributors\n", " License | https://docs.openmc.org/en/latest/license.html\n", - " Version | 0.13.1\n", - " Git SHA1 | 33bc948f4b855c037975f16d16091fe4ecd12de3\n", - " Date/Time | 2022-10-05 19:02:05\n", - " OpenMP Threads | 2\n", + " Version | 0.13.3\n", + " Git SHA1 | 50e39a4e20dc9e0f3d7ccf07333f6a5e6c797c8c\n", + " Date/Time | 2023-10-26 01:26:50\n", + " OpenMP Threads | 32\n", "\n", " Reading settings XML file...\n", " Reading cross sections XML file...\n", " Reading materials XML file...\n", " Reading geometry XML file...\n", - " Reading U234 from /home/pshriwise/data/xs/openmc/nndc_hdf5/U234.h5\n", - " Reading U235 from /home/pshriwise/data/xs/openmc/nndc_hdf5/U235.h5\n", - " Reading U238 from /home/pshriwise/data/xs/openmc/nndc_hdf5/U238.h5\n", - " Reading O16 from /home/pshriwise/data/xs/openmc/nndc_hdf5/O16.h5\n", - " Reading O17 from /home/pshriwise/data/xs/openmc/nndc_hdf5/O17.h5\n", - " Reading U236 from /home/pshriwise/data/xs/openmc/nndc_hdf5/U236.h5\n", - " Reading Zr90 from /home/pshriwise/data/xs/openmc/nndc_hdf5/Zr90.h5\n", - " Reading Zr91 from /home/pshriwise/data/xs/openmc/nndc_hdf5/Zr91.h5\n", - " Reading Zr92 from /home/pshriwise/data/xs/openmc/nndc_hdf5/Zr92.h5\n", - " Reading Zr94 from /home/pshriwise/data/xs/openmc/nndc_hdf5/Zr94.h5\n", - " Reading Zr96 from /home/pshriwise/data/xs/openmc/nndc_hdf5/Zr96.h5\n", - " Reading H1 from /home/pshriwise/data/xs/openmc/nndc_hdf5/H1.h5\n", - " Reading H2 from /home/pshriwise/data/xs/openmc/nndc_hdf5/H2.h5\n", - " Reading c_H_in_H2O from /home/pshriwise/data/xs/openmc/nndc_hdf5/c_H_in_H2O.h5\n", + " Reading U234 from /opt/xdata/endfb-vii.1-hdf5/neutron/U234.h5\n", + " Reading U235 from /opt/xdata/endfb-vii.1-hdf5/neutron/U235.h5\n", + " Reading U238 from /opt/xdata/endfb-vii.1-hdf5/neutron/U238.h5\n", + " Reading O16 from /opt/xdata/endfb-vii.1-hdf5/neutron/O16.h5\n", + " Reading O17 from /opt/xdata/endfb-vii.1-hdf5/neutron/O17.h5\n", + " Reading U236 from /opt/xdata/endfb-vii.1-hdf5/neutron/U236.h5\n", + " Reading Zr90 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr90.h5\n", + " Reading Zr91 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr91.h5\n", + " Reading Zr92 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr92.h5\n", + " Reading Zr94 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr94.h5\n", + " Reading Zr96 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr96.h5\n", + " Reading H1 from /opt/xdata/endfb-vii.1-hdf5/neutron/H1.h5\n", + " Reading H2 from /opt/xdata/endfb-vii.1-hdf5/neutron/H2.h5\n", + " Reading c_H_in_H2O from /opt/xdata/endfb-vii.1-hdf5/neutron/c_H_in_H2O.h5\n", " Minimum neutron data temperature: 294 K\n", " Maximum neutron data temperature: 294 K\n", " Preparing distributed cell instances...\n", " Reading plot XML file...\n", " Writing summary.h5 file...\n", "[openmc.deplete] t=0.0 s, dt=2592000 s, source=174\n", - " Reading I135 from /home/pshriwise/data/xs/openmc/nndc_hdf5/I135.h5\n", - " Reading Xe135 from /home/pshriwise/data/xs/openmc/nndc_hdf5/Xe135.h5\n", - " Reading Xe136 from /home/pshriwise/data/xs/openmc/nndc_hdf5/Xe136.h5\n", - " Reading Cs135 from /home/pshriwise/data/xs/openmc/nndc_hdf5/Cs135.h5\n", - " Reading Gd157 from /home/pshriwise/data/xs/openmc/nndc_hdf5/Gd157.h5\n", - " Reading Gd156 from /home/pshriwise/data/xs/openmc/nndc_hdf5/Gd156.h5\n", + " Reading I135 from /opt/xdata/endfb-vii.1-hdf5/neutron/I135.h5\n", + " Reading Xe135 from /opt/xdata/endfb-vii.1-hdf5/neutron/Xe135.h5\n", + " Reading Xe136 from /opt/xdata/endfb-vii.1-hdf5/neutron/Xe136.h5\n", + " Reading Cs135 from /opt/xdata/endfb-vii.1-hdf5/neutron/Cs135.h5\n", + " Reading Gd157 from /opt/xdata/endfb-vii.1-hdf5/neutron/Gd157.h5\n", + " Reading Gd156 from /opt/xdata/endfb-vii.1-hdf5/neutron/Gd156.h5\n", " Maximum neutron transport energy: 20000000 eV for U235\n", " Initializing source particles...\n", "\n", @@ -421,82 +429,82 @@ "\n", " Bat./Gen. k Average k\n", " ========= ======== ====================\n", - " 1/1 1.49721\n", - " 2/1 1.49226\n", - " 3/1 1.44838\n", - " 4/1 1.47163\n", - " 5/1 1.41429\n", - " 6/1 1.42100\n", - " 7/1 1.43656\n", - " 8/1 1.41211\n", - " 9/1 1.45570\n", - " 10/1 1.33919\n", - " 11/1 1.47822\n", - " 12/1 1.47425 1.47624 +/- 0.00198\n", - " 13/1 1.39919 1.45056 +/- 0.02571\n", - " 14/1 1.35785 1.42738 +/- 0.02946\n", - " 15/1 1.38972 1.41985 +/- 0.02403\n", - " 16/1 1.47812 1.42956 +/- 0.02189\n", - " 17/1 1.50905 1.44092 +/- 0.02171\n", - " 18/1 1.48299 1.44618 +/- 0.01952\n", - " 19/1 1.49089 1.45114 +/- 0.01792\n", - " 20/1 1.50543 1.45657 +/- 0.01692\n", - " 21/1 1.41183 1.45251 +/- 0.01584\n", - " 22/1 1.49487 1.45604 +/- 0.01488\n", - " 23/1 1.45853 1.45623 +/- 0.01369\n", - " 24/1 1.45628 1.45623 +/- 0.01268\n", - " 25/1 1.37824 1.45103 +/- 0.01290\n", - " 26/1 1.40298 1.44803 +/- 0.01243\n", - " 27/1 1.48608 1.45027 +/- 0.01189\n", - " 28/1 1.46773 1.45124 +/- 0.01125\n", - " 29/1 1.46127 1.45177 +/- 0.01066\n", - " 30/1 1.38587 1.44847 +/- 0.01063\n", - " 31/1 1.42115 1.44717 +/- 0.01020\n", - " 32/1 1.45934 1.44772 +/- 0.00974\n", - " 33/1 1.40481 1.44586 +/- 0.00949\n", - " 34/1 1.47602 1.44711 +/- 0.00917\n", - " 35/1 1.47601 1.44827 +/- 0.00887\n", - " 36/1 1.44354 1.44809 +/- 0.00853\n", - " 37/1 1.54954 1.45185 +/- 0.00902\n", - " 38/1 1.46876 1.45245 +/- 0.00872\n", - " 39/1 1.51863 1.45473 +/- 0.00872\n", - " 40/1 1.51529 1.45675 +/- 0.00866\n", - " 41/1 1.39841 1.45487 +/- 0.00858\n", - " 42/1 1.58314 1.45888 +/- 0.00923\n", - " 43/1 1.51678 1.46063 +/- 0.00911\n", - " 44/1 1.44328 1.46012 +/- 0.00886\n", - " 45/1 1.42208 1.45903 +/- 0.00867\n", - " 46/1 1.50118 1.46020 +/- 0.00850\n", - " 47/1 1.50796 1.46150 +/- 0.00837\n", - " 48/1 1.44889 1.46116 +/- 0.00816\n", - " 49/1 1.48715 1.46183 +/- 0.00797\n", - " 50/1 1.49559 1.46267 +/- 0.00782\n", + " 1/1 1.53702\n", + " 2/1 1.43876\n", + " 3/1 1.43346\n", + " 4/1 1.44635\n", + " 5/1 1.61133\n", + " 6/1 1.49998\n", + " 7/1 1.44172\n", + " 8/1 1.47214\n", + " 9/1 1.43927\n", + " 10/1 1.45062\n", + " 11/1 1.36761\n", + " 12/1 1.47828 1.42295 +/- 0.05533\n", + " 13/1 1.49637 1.44742 +/- 0.04024\n", + " 14/1 1.42753 1.44245 +/- 0.02889\n", + " 15/1 1.45598 1.44516 +/- 0.02254\n", + " 16/1 1.45223 1.44634 +/- 0.01844\n", + " 17/1 1.39662 1.43923 +/- 0.01713\n", + " 18/1 1.43137 1.43825 +/- 0.01487\n", + " 19/1 1.45607 1.44023 +/- 0.01326\n", + " 20/1 1.37620 1.43383 +/- 0.01348\n", + " 21/1 1.45783 1.43601 +/- 0.01238\n", + " 22/1 1.50132 1.44145 +/- 0.01255\n", + " 23/1 1.48660 1.44493 +/- 0.01205\n", + " 24/1 1.46315 1.44623 +/- 0.01123\n", + " 25/1 1.38739 1.44231 +/- 0.01117\n", + " 26/1 1.38844 1.43894 +/- 0.01098\n", + " 27/1 1.50351 1.44274 +/- 0.01099\n", + " 28/1 1.44082 1.44263 +/- 0.01036\n", + " 29/1 1.56234 1.44893 +/- 0.01165\n", + " 30/1 1.39650 1.44631 +/- 0.01136\n", + " 31/1 1.40645 1.44441 +/- 0.01097\n", + " 32/1 1.45086 1.44471 +/- 0.01046\n", + " 33/1 1.41487 1.44341 +/- 0.01008\n", + " 34/1 1.41254 1.44212 +/- 0.00974\n", + " 35/1 1.44422 1.44221 +/- 0.00934\n", + " 36/1 1.51714 1.44509 +/- 0.00943\n", + " 37/1 1.38374 1.44282 +/- 0.00935\n", + " 38/1 1.43018 1.44236 +/- 0.00902\n", + " 39/1 1.45851 1.44292 +/- 0.00872\n", + " 40/1 1.54850 1.44644 +/- 0.00913\n", + " 41/1 1.38747 1.44454 +/- 0.00904\n", + " 42/1 1.46092 1.44505 +/- 0.00876\n", + " 43/1 1.48960 1.44640 +/- 0.00860\n", + " 44/1 1.39648 1.44493 +/- 0.00847\n", + " 45/1 1.54765 1.44787 +/- 0.00873\n", + " 46/1 1.42142 1.44713 +/- 0.00852\n", + " 47/1 1.49596 1.44845 +/- 0.00839\n", + " 48/1 1.46689 1.44894 +/- 0.00818\n", + " 49/1 1.43829 1.44866 +/- 0.00797\n", + " 50/1 1.47259 1.44926 +/- 0.00779\n", " Creating state point statepoint.50.h5...\n", "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", - " Total time for initialization = 1.1968e+00 seconds\n", - " Reading cross sections = 1.1906e+00 seconds\n", - " Total time in simulation = 1.3040e+01 seconds\n", - " Time in transport only = 1.3031e+01 seconds\n", - " Time in inactive batches = 2.2501e+00 seconds\n", - " Time in active batches = 1.0790e+01 seconds\n", - " Time synchronizing fission bank = 4.3167e-03 seconds\n", - " Sampling source sites = 3.9236e-03 seconds\n", - " SEND/RECV source sites = 3.6606e-04 seconds\n", - " Time accumulating tallies = 2.4592e-04 seconds\n", - " Time writing statepoints = 1.4237e-03 seconds\n", - " Total time for finalization = 5.2430e-05 seconds\n", - " Total time elapsed = 1.4251e+01 seconds\n", - " Calculation Rate (inactive) = 4444.21 particles/second\n", - " Calculation Rate (active) = 3707.27 particles/second\n", + " Total time for initialization = 9.6620e-01 seconds\n", + " Reading cross sections = 9.5103e-01 seconds\n", + " Total time in simulation = 1.9522e+00 seconds\n", + " Time in transport only = 1.9279e+00 seconds\n", + " Time in inactive batches = 3.6865e-01 seconds\n", + " Time in active batches = 1.5836e+00 seconds\n", + " Time synchronizing fission bank = 4.2209e-03 seconds\n", + " Sampling source sites = 3.7456e-03 seconds\n", + " SEND/RECV source sites = 4.5376e-04 seconds\n", + " Time accumulating tallies = 9.2936e-03 seconds\n", + " Time writing statepoints = 5.0476e-03 seconds\n", + " Total time for finalization = 1.2903e-04 seconds\n", + " Total time elapsed = 2.9312e+00 seconds\n", + " Calculation Rate (inactive) = 27126.1 particles/second\n", + " Calculation Rate (active) = 25259 particles/second\n", "\n", " ============================> RESULTS <============================\n", "\n", - " k-effective (Collision) = 1.46857 +/- 0.00652\n", - " k-effective (Track-length) = 1.46267 +/- 0.00782\n", - " k-effective (Absorption) = 1.46527 +/- 0.00455\n", - " Combined k-effective = 1.46478 +/- 0.00392\n", + " k-effective (Collision) = 1.45079 +/- 0.00728\n", + " k-effective (Track-length) = 1.44926 +/- 0.00779\n", + " k-effective (Absorption) = 1.45541 +/- 0.00477\n", + " Combined k-effective = 1.45490 +/- 0.00474\n", " Leakage Fraction = 0.00000 +/- 0.00000\n", "\n", " Creating state point openmc_simulation_n0.h5...\n", @@ -508,82 +516,82 @@ "\n", " Bat./Gen. k Average k\n", " ========= ======== ====================\n", - " 1/1 1.53241\n", - " 2/1 1.40513\n", - " 3/1 1.45199\n", - " 4/1 1.48296\n", - " 5/1 1.45516\n", - " 6/1 1.49568\n", - " 7/1 1.41651\n", - " 8/1 1.41637\n", - " 9/1 1.41213\n", - " 10/1 1.43048\n", - " 11/1 1.43207\n", - " 12/1 1.51388 1.47297 +/- 0.04091\n", - " 13/1 1.44591 1.46395 +/- 0.02528\n", - " 14/1 1.50325 1.47378 +/- 0.02040\n", - " 15/1 1.44463 1.46795 +/- 0.01684\n", - " 16/1 1.45528 1.46583 +/- 0.01391\n", - " 17/1 1.39473 1.45568 +/- 0.01554\n", - " 18/1 1.41153 1.45016 +/- 0.01454\n", - " 19/1 1.36173 1.44033 +/- 0.01616\n", - " 20/1 1.48965 1.44527 +/- 0.01527\n", - " 21/1 1.42710 1.44361 +/- 0.01391\n", - " 22/1 1.41558 1.44128 +/- 0.01291\n", - " 23/1 1.39316 1.43758 +/- 0.01244\n", - " 24/1 1.46698 1.43968 +/- 0.01171\n", - " 25/1 1.42137 1.43846 +/- 0.01097\n", - " 26/1 1.44859 1.43909 +/- 0.01028\n", - " 27/1 1.39159 1.43630 +/- 0.01005\n", - " 28/1 1.51030 1.44041 +/- 0.01033\n", - " 29/1 1.58514 1.44802 +/- 0.01239\n", - " 30/1 1.33291 1.44227 +/- 0.01309\n", - " 31/1 1.38694 1.43963 +/- 0.01272\n", - " 32/1 1.46008 1.44056 +/- 0.01217\n", - " 33/1 1.39234 1.43847 +/- 0.01181\n", - " 34/1 1.40957 1.43726 +/- 0.01138\n", - " 35/1 1.47587 1.43881 +/- 0.01102\n", - " 36/1 1.43015 1.43847 +/- 0.01059\n", - " 37/1 1.38802 1.43661 +/- 0.01036\n", - " 38/1 1.33953 1.43314 +/- 0.01057\n", - " 39/1 1.48062 1.43478 +/- 0.01033\n", - " 40/1 1.44053 1.43497 +/- 0.00998\n", - " 41/1 1.46435 1.43592 +/- 0.00970\n", - " 42/1 1.49916 1.43789 +/- 0.00960\n", - " 43/1 1.46589 1.43874 +/- 0.00934\n", - " 44/1 1.40238 1.43767 +/- 0.00913\n", - " 45/1 1.44733 1.43795 +/- 0.00887\n", - " 46/1 1.35951 1.43577 +/- 0.00889\n", - " 47/1 1.45303 1.43623 +/- 0.00866\n", - " 48/1 1.43982 1.43633 +/- 0.00843\n", - " 49/1 1.53025 1.43874 +/- 0.00855\n", - " 50/1 1.45253 1.43908 +/- 0.00834\n", + " 1/1 1.38610\n", + " 2/1 1.48168\n", + " 3/1 1.50267\n", + " 4/1 1.47834\n", + " 5/1 1.45348\n", + " 6/1 1.38505\n", + " 7/1 1.36547\n", + " 8/1 1.42814\n", + " 9/1 1.44743\n", + " 10/1 1.43416\n", + " 11/1 1.45512\n", + " 12/1 1.34085 1.39798 +/- 0.05714\n", + " 13/1 1.43011 1.40869 +/- 0.03468\n", + " 14/1 1.47060 1.42417 +/- 0.02900\n", + " 15/1 1.43763 1.42686 +/- 0.02262\n", + " 16/1 1.39925 1.42226 +/- 0.01904\n", + " 17/1 1.50656 1.43430 +/- 0.02010\n", + " 18/1 1.42710 1.43340 +/- 0.01743\n", + " 19/1 1.44105 1.43425 +/- 0.01539\n", + " 20/1 1.31871 1.42270 +/- 0.01797\n", + " 21/1 1.44718 1.42492 +/- 0.01641\n", + " 22/1 1.42535 1.42496 +/- 0.01498\n", + " 23/1 1.56508 1.43574 +/- 0.01749\n", + " 24/1 1.43354 1.43558 +/- 0.01620\n", + " 25/1 1.38408 1.43215 +/- 0.01547\n", + " 26/1 1.47748 1.43498 +/- 0.01474\n", + " 27/1 1.51403 1.43963 +/- 0.01461\n", + " 28/1 1.41745 1.43840 +/- 0.01383\n", + " 29/1 1.43331 1.43813 +/- 0.01308\n", + " 30/1 1.39084 1.43577 +/- 0.01263\n", + " 31/1 1.47378 1.43758 +/- 0.01215\n", + " 32/1 1.42902 1.43719 +/- 0.01159\n", + " 33/1 1.43219 1.43697 +/- 0.01108\n", + " 34/1 1.46083 1.43796 +/- 0.01065\n", + " 35/1 1.49512 1.44025 +/- 0.01047\n", + " 36/1 1.41634 1.43933 +/- 0.01010\n", + " 37/1 1.36758 1.43667 +/- 0.01008\n", + " 38/1 1.47189 1.43793 +/- 0.00979\n", + " 39/1 1.41503 1.43714 +/- 0.00948\n", + " 40/1 1.41165 1.43629 +/- 0.00920\n", + " 41/1 1.40983 1.43544 +/- 0.00894\n", + " 42/1 1.40339 1.43444 +/- 0.00871\n", + " 43/1 1.38040 1.43280 +/- 0.00860\n", + " 44/1 1.44208 1.43307 +/- 0.00835\n", + " 45/1 1.48910 1.43467 +/- 0.00826\n", + " 46/1 1.36484 1.43273 +/- 0.00826\n", + " 47/1 1.44490 1.43306 +/- 0.00804\n", + " 48/1 1.45630 1.43367 +/- 0.00785\n", + " 49/1 1.43474 1.43370 +/- 0.00765\n", + " 50/1 1.46575 1.43450 +/- 0.00750\n", " Creating state point statepoint.50.h5...\n", "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", " Total time for initialization = 0.0000e+00 seconds\n", " Reading cross sections = 0.0000e+00 seconds\n", - " Total time in simulation = 1.2879e+01 seconds\n", - " Time in transport only = 1.2870e+01 seconds\n", - " Time in inactive batches = 2.1932e+00 seconds\n", - " Time in active batches = 1.0686e+01 seconds\n", - " Time synchronizing fission bank = 4.6210e-03 seconds\n", - " Sampling source sites = 4.2406e-03 seconds\n", - " SEND/RECV source sites = 3.5471e-04 seconds\n", - " Time accumulating tallies = 2.2210e-04 seconds\n", - " Time writing statepoints = 2.5594e-03 seconds\n", - " Total time for finalization = 5.4901e-05 seconds\n", - " Total time elapsed = 1.2893e+01 seconds\n", - " Calculation Rate (inactive) = 4559.54 particles/second\n", - " Calculation Rate (active) = 3743.15 particles/second\n", + " Total time in simulation = 2.1220e+00 seconds\n", + " Time in transport only = 2.0960e+00 seconds\n", + " Time in inactive batches = 4.0429e-01 seconds\n", + " Time in active batches = 1.7177e+00 seconds\n", + " Time synchronizing fission bank = 4.2377e-03 seconds\n", + " Sampling source sites = 3.7539e-03 seconds\n", + " SEND/RECV source sites = 4.6137e-04 seconds\n", + " Time accumulating tallies = 7.6969e-03 seconds\n", + " Time writing statepoints = 1.1371e-02 seconds\n", + " Total time for finalization = 1.3024e-04 seconds\n", + " Total time elapsed = 2.1331e+00 seconds\n", + " Calculation Rate (inactive) = 24734.9 particles/second\n", + " Calculation Rate (active) = 23286.3 particles/second\n", "\n", " ============================> RESULTS <============================\n", "\n", - " k-effective (Collision) = 1.43941 +/- 0.00730\n", - " k-effective (Track-length) = 1.43908 +/- 0.00834\n", - " k-effective (Absorption) = 1.43889 +/- 0.00475\n", - " Combined k-effective = 1.43891 +/- 0.00466\n", + " k-effective (Collision) = 1.42726 +/- 0.00588\n", + " k-effective (Track-length) = 1.43450 +/- 0.00750\n", + " k-effective (Absorption) = 1.44447 +/- 0.00447\n", + " Combined k-effective = 1.43943 +/- 0.00475\n", " Leakage Fraction = 0.00000 +/- 0.00000\n", "\n", " Creating state point openmc_simulation_n1.h5...\n", @@ -595,82 +603,82 @@ "\n", " Bat./Gen. k Average k\n", " ========= ======== ====================\n", - " 1/1 1.35648\n", - " 2/1 1.41942\n", - " 3/1 1.36608\n", - " 4/1 1.46674\n", - " 5/1 1.47455\n", - " 6/1 1.40320\n", - " 7/1 1.36282\n", - " 8/1 1.41123\n", - " 9/1 1.45872\n", - " 10/1 1.43235\n", - " 11/1 1.43551\n", - " 12/1 1.42639 1.43095 +/- 0.00456\n", - " 13/1 1.38410 1.41533 +/- 0.01584\n", - " 14/1 1.40010 1.41152 +/- 0.01183\n", - " 15/1 1.45122 1.41946 +/- 0.01212\n", - " 16/1 1.46395 1.42688 +/- 0.01237\n", - " 17/1 1.50374 1.43786 +/- 0.01516\n", - " 18/1 1.41657 1.43520 +/- 0.01340\n", - " 19/1 1.39988 1.43127 +/- 0.01245\n", - " 20/1 1.48773 1.43692 +/- 0.01248\n", - " 21/1 1.50428 1.44304 +/- 0.01285\n", - " 22/1 1.40603 1.43996 +/- 0.01213\n", - " 23/1 1.44173 1.44009 +/- 0.01115\n", - " 24/1 1.47605 1.44266 +/- 0.01064\n", - " 25/1 1.41864 1.44106 +/- 0.01004\n", - " 26/1 1.42455 1.44003 +/- 0.00944\n", - " 27/1 1.43444 1.43970 +/- 0.00888\n", - " 28/1 1.39999 1.43749 +/- 0.00866\n", - " 29/1 1.45318 1.43832 +/- 0.00823\n", - " 30/1 1.46514 1.43966 +/- 0.00792\n", - " 31/1 1.49160 1.44213 +/- 0.00793\n", - " 32/1 1.34013 1.43750 +/- 0.00887\n", - " 33/1 1.48829 1.43971 +/- 0.00876\n", - " 34/1 1.47141 1.44103 +/- 0.00849\n", - " 35/1 1.39193 1.43906 +/- 0.00838\n", - " 36/1 1.39036 1.43719 +/- 0.00826\n", - " 37/1 1.44249 1.43739 +/- 0.00795\n", - " 38/1 1.48357 1.43904 +/- 0.00784\n", - " 39/1 1.40641 1.43791 +/- 0.00765\n", - " 40/1 1.42094 1.43734 +/- 0.00741\n", - " 41/1 1.40773 1.43639 +/- 0.00723\n", - " 42/1 1.45978 1.43712 +/- 0.00704\n", - " 43/1 1.42308 1.43669 +/- 0.00683\n", - " 44/1 1.47645 1.43786 +/- 0.00673\n", - " 45/1 1.51314 1.44001 +/- 0.00688\n", - " 46/1 1.48159 1.44117 +/- 0.00679\n", - " 47/1 1.48586 1.44238 +/- 0.00671\n", - " 48/1 1.38670 1.44091 +/- 0.00669\n", - " 49/1 1.53726 1.44338 +/- 0.00697\n", - " 50/1 1.44556 1.44344 +/- 0.00680\n", + " 1/1 1.50898\n", + " 2/1 1.55378\n", + " 3/1 1.48344\n", + " 4/1 1.41734\n", + " 5/1 1.45680\n", + " 6/1 1.42132\n", + " 7/1 1.45812\n", + " 8/1 1.62452\n", + " 9/1 1.45545\n", + " 10/1 1.47973\n", + " 11/1 1.45058\n", + " 12/1 1.38818 1.41938 +/- 0.03120\n", + " 13/1 1.42619 1.42165 +/- 0.01816\n", + " 14/1 1.41350 1.41961 +/- 0.01300\n", + " 15/1 1.52301 1.44029 +/- 0.02300\n", + " 16/1 1.45366 1.44252 +/- 0.01891\n", + " 17/1 1.46955 1.44638 +/- 0.01644\n", + " 18/1 1.44131 1.44575 +/- 0.01425\n", + " 19/1 1.48535 1.45015 +/- 0.01332\n", + " 20/1 1.40243 1.44538 +/- 0.01283\n", + " 21/1 1.43354 1.44430 +/- 0.01166\n", + " 22/1 1.42089 1.44235 +/- 0.01082\n", + " 23/1 1.48037 1.44527 +/- 0.01037\n", + " 24/1 1.38331 1.44085 +/- 0.01057\n", + " 25/1 1.43077 1.44018 +/- 0.00987\n", + " 26/1 1.42727 1.43937 +/- 0.00927\n", + " 27/1 1.47006 1.44117 +/- 0.00889\n", + " 28/1 1.43249 1.44069 +/- 0.00839\n", + " 29/1 1.40403 1.43876 +/- 0.00817\n", + " 30/1 1.41033 1.43734 +/- 0.00788\n", + " 31/1 1.48052 1.43940 +/- 0.00777\n", + " 32/1 1.48062 1.44127 +/- 0.00764\n", + " 33/1 1.47116 1.44257 +/- 0.00742\n", + " 34/1 1.39372 1.44054 +/- 0.00739\n", + " 35/1 1.44398 1.44067 +/- 0.00709\n", + " 36/1 1.49633 1.44281 +/- 0.00714\n", + " 37/1 1.49206 1.44464 +/- 0.00711\n", + " 38/1 1.42788 1.44404 +/- 0.00688\n", + " 39/1 1.41317 1.44297 +/- 0.00672\n", + " 40/1 1.46586 1.44374 +/- 0.00654\n", + " 41/1 1.37584 1.44155 +/- 0.00669\n", + " 42/1 1.42766 1.44111 +/- 0.00649\n", + " 43/1 1.43667 1.44098 +/- 0.00629\n", + " 44/1 1.46639 1.44173 +/- 0.00615\n", + " 45/1 1.38801 1.44019 +/- 0.00617\n", + " 46/1 1.42058 1.43965 +/- 0.00602\n", + " 47/1 1.39808 1.43852 +/- 0.00596\n", + " 48/1 1.40581 1.43766 +/- 0.00586\n", + " 49/1 1.42390 1.43731 +/- 0.00572\n", + " 50/1 1.34860 1.43509 +/- 0.00600\n", " Creating state point statepoint.50.h5...\n", "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", " Total time for initialization = 0.0000e+00 seconds\n", " Reading cross sections = 0.0000e+00 seconds\n", - " Total time in simulation = 1.2995e+01 seconds\n", - " Time in transport only = 1.2986e+01 seconds\n", - " Time in inactive batches = 2.2152e+00 seconds\n", - " Time in active batches = 1.0780e+01 seconds\n", - " Time synchronizing fission bank = 4.3730e-03 seconds\n", - " Sampling source sites = 3.9823e-03 seconds\n", - " SEND/RECV source sites = 3.6477e-04 seconds\n", - " Time accumulating tallies = 2.3376e-04 seconds\n", - " Time writing statepoints = 2.6625e-03 seconds\n", - " Total time for finalization = 6.8176e-03 seconds\n", - " Total time elapsed = 1.3016e+01 seconds\n", - " Calculation Rate (inactive) = 4514.3 particles/second\n", - " Calculation Rate (active) = 3710.67 particles/second\n", + " Total time in simulation = 2.2633e+00 seconds\n", + " Time in transport only = 2.2198e+00 seconds\n", + " Time in inactive batches = 3.6496e-01 seconds\n", + " Time in active batches = 1.8983e+00 seconds\n", + " Time synchronizing fission bank = 4.3325e-03 seconds\n", + " Sampling source sites = 3.8357e-03 seconds\n", + " SEND/RECV source sites = 4.7343e-04 seconds\n", + " Time accumulating tallies = 2.5058e-02 seconds\n", + " Time writing statepoints = 8.2730e-03 seconds\n", + " Total time for finalization = 1.3693e-04 seconds\n", + " Total time elapsed = 2.2745e+00 seconds\n", + " Calculation Rate (inactive) = 27399.9 particles/second\n", + " Calculation Rate (active) = 21071.1 particles/second\n", "\n", " ============================> RESULTS <============================\n", "\n", - " k-effective (Collision) = 1.43781 +/- 0.00627\n", - " k-effective (Track-length) = 1.44344 +/- 0.00680\n", - " k-effective (Absorption) = 1.43243 +/- 0.00527\n", - " Combined k-effective = 1.43604 +/- 0.00493\n", + " k-effective (Collision) = 1.43309 +/- 0.00659\n", + " k-effective (Track-length) = 1.43509 +/- 0.00600\n", + " k-effective (Absorption) = 1.42600 +/- 0.00359\n", + " Combined k-effective = 1.42781 +/- 0.00354\n", " Leakage Fraction = 0.00000 +/- 0.00000\n", "\n", " Creating state point openmc_simulation_n2.h5...\n", @@ -682,82 +690,82 @@ "\n", " Bat./Gen. k Average k\n", " ========= ======== ====================\n", - " 1/1 1.52145\n", - " 2/1 1.45763\n", - " 3/1 1.38715\n", - " 4/1 1.49491\n", - " 5/1 1.45451\n", - " 6/1 1.41857\n", - " 7/1 1.36661\n", - " 8/1 1.35323\n", - " 9/1 1.32219\n", - " 10/1 1.45559\n", - " 11/1 1.56651\n", - " 12/1 1.37746 1.47198 +/- 0.09452\n", - " 13/1 1.41360 1.45252 +/- 0.05794\n", - " 14/1 1.46543 1.45575 +/- 0.04110\n", - " 15/1 1.36700 1.43800 +/- 0.03645\n", - " 16/1 1.41995 1.43499 +/- 0.02991\n", - " 17/1 1.48070 1.44152 +/- 0.02611\n", - " 18/1 1.46150 1.44402 +/- 0.02275\n", - " 19/1 1.34499 1.43302 +/- 0.02288\n", - " 20/1 1.47485 1.43720 +/- 0.02089\n", - " 21/1 1.50424 1.44329 +/- 0.01985\n", - " 22/1 1.41394 1.44085 +/- 0.01829\n", - " 23/1 1.43248 1.44020 +/- 0.01683\n", - " 24/1 1.38295 1.43611 +/- 0.01611\n", - " 25/1 1.42331 1.43526 +/- 0.01503\n", - " 26/1 1.44462 1.43585 +/- 0.01407\n", - " 27/1 1.43415 1.43575 +/- 0.01321\n", - " 28/1 1.48582 1.43853 +/- 0.01276\n", - " 29/1 1.44884 1.43907 +/- 0.01209\n", - " 30/1 1.34656 1.43444 +/- 0.01236\n", - " 31/1 1.44433 1.43492 +/- 0.01177\n", - " 32/1 1.48062 1.43699 +/- 0.01141\n", - " 33/1 1.37226 1.43418 +/- 0.01126\n", - " 34/1 1.31991 1.42942 +/- 0.01179\n", - " 35/1 1.48850 1.43178 +/- 0.01155\n", - " 36/1 1.47446 1.43342 +/- 0.01122\n", - " 37/1 1.49478 1.43569 +/- 0.01103\n", - " 38/1 1.35729 1.43289 +/- 0.01099\n", - " 39/1 1.37560 1.43092 +/- 0.01079\n", - " 40/1 1.41980 1.43055 +/- 0.01043\n", - " 41/1 1.36832 1.42854 +/- 0.01029\n", - " 42/1 1.41065 1.42798 +/- 0.00997\n", - " 43/1 1.36825 1.42617 +/- 0.00984\n", - " 44/1 1.37304 1.42461 +/- 0.00967\n", - " 45/1 1.40813 1.42414 +/- 0.00940\n", - " 46/1 1.39351 1.42329 +/- 0.00918\n", - " 47/1 1.46699 1.42447 +/- 0.00900\n", - " 48/1 1.41202 1.42414 +/- 0.00877\n", - " 49/1 1.45476 1.42493 +/- 0.00858\n", - " 50/1 1.38327 1.42388 +/- 0.00842\n", + " 1/1 1.44203\n", + " 2/1 1.37132\n", + " 3/1 1.42001\n", + " 4/1 1.42945\n", + " 5/1 1.44713\n", + " 6/1 1.46065\n", + " 7/1 1.44657\n", + " 8/1 1.38157\n", + " 9/1 1.46971\n", + " 10/1 1.55415\n", + " 11/1 1.34500\n", + " 12/1 1.40011 1.37255 +/- 0.02756\n", + " 13/1 1.47993 1.40834 +/- 0.03917\n", + " 14/1 1.48390 1.42723 +/- 0.03352\n", + " 15/1 1.45548 1.43288 +/- 0.02658\n", + " 16/1 1.44571 1.43502 +/- 0.02180\n", + " 17/1 1.43232 1.43463 +/- 0.01843\n", + " 18/1 1.50338 1.44323 +/- 0.01813\n", + " 19/1 1.53546 1.45348 +/- 0.01899\n", + " 20/1 1.41146 1.44927 +/- 0.01750\n", + " 21/1 1.39360 1.44421 +/- 0.01662\n", + " 22/1 1.46111 1.44562 +/- 0.01523\n", + " 23/1 1.53882 1.45279 +/- 0.01574\n", + " 24/1 1.39733 1.44883 +/- 0.01510\n", + " 25/1 1.42802 1.44744 +/- 0.01413\n", + " 26/1 1.39609 1.44423 +/- 0.01360\n", + " 27/1 1.43661 1.44378 +/- 0.01278\n", + " 28/1 1.38011 1.44025 +/- 0.01256\n", + " 29/1 1.41518 1.43893 +/- 0.01195\n", + " 30/1 1.45954 1.43996 +/- 0.01139\n", + " 31/1 1.44620 1.44025 +/- 0.01083\n", + " 32/1 1.50544 1.44322 +/- 0.01075\n", + " 33/1 1.47331 1.44453 +/- 0.01035\n", + " 34/1 1.38227 1.44193 +/- 0.01025\n", + " 35/1 1.43997 1.44185 +/- 0.00983\n", + " 36/1 1.39731 1.44014 +/- 0.00960\n", + " 37/1 1.49595 1.44221 +/- 0.00946\n", + " 38/1 1.40348 1.44082 +/- 0.00922\n", + " 39/1 1.33228 1.43708 +/- 0.00965\n", + " 40/1 1.40644 1.43606 +/- 0.00938\n", + " 41/1 1.41400 1.43535 +/- 0.00910\n", + " 42/1 1.38516 1.43378 +/- 0.00895\n", + " 43/1 1.38802 1.43239 +/- 0.00879\n", + " 44/1 1.39526 1.43130 +/- 0.00859\n", + " 45/1 1.30116 1.42758 +/- 0.00914\n", + " 46/1 1.43647 1.42783 +/- 0.00888\n", + " 47/1 1.38574 1.42669 +/- 0.00871\n", + " 48/1 1.38079 1.42549 +/- 0.00857\n", + " 49/1 1.45147 1.42615 +/- 0.00837\n", + " 50/1 1.41959 1.42599 +/- 0.00816\n", " Creating state point statepoint.50.h5...\n", "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", " Total time for initialization = 0.0000e+00 seconds\n", " Reading cross sections = 0.0000e+00 seconds\n", - " Total time in simulation = 1.3031e+01 seconds\n", - " Time in transport only = 1.3022e+01 seconds\n", - " Time in inactive batches = 2.2077e+00 seconds\n", - " Time in active batches = 1.0824e+01 seconds\n", - " Time synchronizing fission bank = 4.5578e-03 seconds\n", - " Sampling source sites = 4.1598e-03 seconds\n", - " SEND/RECV source sites = 3.7168e-04 seconds\n", - " Time accumulating tallies = 2.3355e-04 seconds\n", - " Time writing statepoints = 2.7490e-03 seconds\n", - " Total time for finalization = 4.9850e-05 seconds\n", - " Total time elapsed = 1.3045e+01 seconds\n", - " Calculation Rate (inactive) = 4529.68 particles/second\n", - " Calculation Rate (active) = 3695.64 particles/second\n", + " Total time in simulation = 2.1898e+00 seconds\n", + " Time in transport only = 2.1562e+00 seconds\n", + " Time in inactive batches = 3.8682e-01 seconds\n", + " Time in active batches = 1.8030e+00 seconds\n", + " Time synchronizing fission bank = 5.1998e-03 seconds\n", + " Sampling source sites = 4.5969e-03 seconds\n", + " SEND/RECV source sites = 5.7608e-04 seconds\n", + " Time accumulating tallies = 7.0743e-03 seconds\n", + " Time writing statepoints = 9.8496e-03 seconds\n", + " Total time for finalization = 1.5070e-04 seconds\n", + " Total time elapsed = 2.2008e+00 seconds\n", + " Calculation Rate (inactive) = 25851.7 particles/second\n", + " Calculation Rate (active) = 22185.4 particles/second\n", "\n", " ============================> RESULTS <============================\n", "\n", - " k-effective (Collision) = 1.42700 +/- 0.00561\n", - " k-effective (Track-length) = 1.42388 +/- 0.00842\n", - " k-effective (Absorption) = 1.43128 +/- 0.00502\n", - " Combined k-effective = 1.42959 +/- 0.00429\n", + " k-effective (Collision) = 1.43114 +/- 0.00639\n", + " k-effective (Track-length) = 1.42599 +/- 0.00816\n", + " k-effective (Absorption) = 1.42830 +/- 0.00470\n", + " Combined k-effective = 1.42849 +/- 0.00451\n", " Leakage Fraction = 0.00000 +/- 0.00000\n", "\n", " Creating state point openmc_simulation_n3.h5...\n", @@ -769,82 +777,82 @@ "\n", " Bat./Gen. k Average k\n", " ========= ======== ====================\n", - " 1/1 1.38925\n", - " 2/1 1.42976\n", - " 3/1 1.41226\n", - " 4/1 1.39211\n", - " 5/1 1.50564\n", - " 6/1 1.47182\n", - " 7/1 1.40604\n", - " 8/1 1.47053\n", - " 9/1 1.38703\n", - " 10/1 1.40210\n", - " 11/1 1.49465\n", - " 12/1 1.38331 1.43898 +/- 0.05567\n", - " 13/1 1.36733 1.41510 +/- 0.04004\n", - " 14/1 1.43836 1.42091 +/- 0.02891\n", - " 15/1 1.28111 1.39295 +/- 0.03582\n", - " 16/1 1.46121 1.40433 +/- 0.03138\n", - " 17/1 1.33978 1.39511 +/- 0.02808\n", - " 18/1 1.41161 1.39717 +/- 0.02440\n", - " 19/1 1.39461 1.39689 +/- 0.02152\n", - " 20/1 1.47066 1.40426 +/- 0.02062\n", - " 21/1 1.42437 1.40609 +/- 0.01874\n", - " 22/1 1.46622 1.41110 +/- 0.01782\n", - " 23/1 1.37032 1.40797 +/- 0.01669\n", - " 24/1 1.41432 1.40842 +/- 0.01546\n", - " 25/1 1.38921 1.40714 +/- 0.01445\n", - " 26/1 1.40164 1.40679 +/- 0.01352\n", - " 27/1 1.42757 1.40802 +/- 0.01276\n", - " 28/1 1.32544 1.40343 +/- 0.01288\n", - " 29/1 1.45468 1.40613 +/- 0.01247\n", - " 30/1 1.49292 1.41047 +/- 0.01261\n", - " 31/1 1.38744 1.40937 +/- 0.01204\n", - " 32/1 1.46078 1.41171 +/- 0.01171\n", - " 33/1 1.42757 1.41240 +/- 0.01122\n", - " 34/1 1.44109 1.41359 +/- 0.01080\n", - " 35/1 1.39698 1.41293 +/- 0.01038\n", - " 36/1 1.47438 1.41529 +/- 0.01025\n", - " 37/1 1.45001 1.41658 +/- 0.00995\n", - " 38/1 1.42864 1.41701 +/- 0.00960\n", - " 39/1 1.44516 1.41798 +/- 0.00931\n", - " 40/1 1.46250 1.41946 +/- 0.00912\n", - " 41/1 1.36719 1.41778 +/- 0.00898\n", - " 42/1 1.32118 1.41476 +/- 0.00920\n", - " 43/1 1.48217 1.41680 +/- 0.00915\n", - " 44/1 1.46043 1.41808 +/- 0.00897\n", - " 45/1 1.47425 1.41969 +/- 0.00886\n", - " 46/1 1.46925 1.42107 +/- 0.00872\n", - " 47/1 1.46076 1.42214 +/- 0.00854\n", - " 48/1 1.34478 1.42010 +/- 0.00856\n", - " 49/1 1.38493 1.41920 +/- 0.00839\n", - " 50/1 1.34114 1.41725 +/- 0.00841\n", + " 1/1 1.37033\n", + " 2/1 1.37110\n", + " 3/1 1.38802\n", + " 4/1 1.36630\n", + " 5/1 1.46033\n", + " 6/1 1.38151\n", + " 7/1 1.47543\n", + " 8/1 1.27561\n", + " 9/1 1.43995\n", + " 10/1 1.47347\n", + " 11/1 1.44212\n", + " 12/1 1.43502 1.43857 +/- 0.00355\n", + " 13/1 1.33714 1.40476 +/- 0.03387\n", + " 14/1 1.39828 1.40314 +/- 0.02401\n", + " 15/1 1.39016 1.40055 +/- 0.01877\n", + " 16/1 1.52402 1.42112 +/- 0.02566\n", + " 17/1 1.39956 1.41804 +/- 0.02191\n", + " 18/1 1.43515 1.42018 +/- 0.01909\n", + " 19/1 1.42497 1.42071 +/- 0.01684\n", + " 20/1 1.39614 1.41826 +/- 0.01527\n", + " 21/1 1.43771 1.42003 +/- 0.01392\n", + " 22/1 1.47738 1.42480 +/- 0.01358\n", + " 23/1 1.48097 1.42913 +/- 0.01322\n", + " 24/1 1.37766 1.42545 +/- 0.01278\n", + " 25/1 1.40317 1.42396 +/- 0.01199\n", + " 26/1 1.41995 1.42371 +/- 0.01121\n", + " 27/1 1.41925 1.42345 +/- 0.01054\n", + " 28/1 1.51134 1.42833 +/- 0.01107\n", + " 29/1 1.43506 1.42869 +/- 0.01048\n", + " 30/1 1.43915 1.42921 +/- 0.00995\n", + " 31/1 1.47963 1.43161 +/- 0.00977\n", + " 32/1 1.38891 1.42967 +/- 0.00951\n", + " 33/1 1.44461 1.43032 +/- 0.00911\n", + " 34/1 1.39490 1.42884 +/- 0.00885\n", + " 35/1 1.39509 1.42749 +/- 0.00859\n", + " 36/1 1.33191 1.42382 +/- 0.00904\n", + " 37/1 1.43944 1.42440 +/- 0.00872\n", + " 38/1 1.38917 1.42314 +/- 0.00849\n", + " 39/1 1.30703 1.41913 +/- 0.00912\n", + " 40/1 1.40722 1.41874 +/- 0.00882\n", + " 41/1 1.42532 1.41895 +/- 0.00853\n", + " 42/1 1.40705 1.41858 +/- 0.00827\n", + " 43/1 1.43005 1.41893 +/- 0.00802\n", + " 44/1 1.53167 1.42224 +/- 0.00846\n", + " 45/1 1.43357 1.42257 +/- 0.00822\n", + " 46/1 1.42545 1.42265 +/- 0.00799\n", + " 47/1 1.35218 1.42074 +/- 0.00800\n", + " 48/1 1.38210 1.41972 +/- 0.00785\n", + " 49/1 1.37741 1.41864 +/- 0.00773\n", + " 50/1 1.36010 1.41718 +/- 0.00767\n", " Creating state point statepoint.50.h5...\n", "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", " Total time for initialization = 0.0000e+00 seconds\n", " Reading cross sections = 0.0000e+00 seconds\n", - " Total time in simulation = 1.3126e+01 seconds\n", - " Time in transport only = 1.3116e+01 seconds\n", - " Time in inactive batches = 2.2380e+00 seconds\n", - " Time in active batches = 1.0888e+01 seconds\n", - " Time synchronizing fission bank = 4.1247e-03 seconds\n", - " Sampling source sites = 3.7224e-03 seconds\n", - " SEND/RECV source sites = 3.7812e-04 seconds\n", - " Time accumulating tallies = 2.2789e-04 seconds\n", - " Time writing statepoints = 3.0614e-03 seconds\n", - " Total time for finalization = 5.4060e-05 seconds\n", - " Total time elapsed = 1.3140e+01 seconds\n", - " Calculation Rate (inactive) = 4468.2 particles/second\n", - " Calculation Rate (active) = 3673.84 particles/second\n", + " Total time in simulation = 2.1741e+00 seconds\n", + " Time in transport only = 2.1341e+00 seconds\n", + " Time in inactive batches = 3.8098e-01 seconds\n", + " Time in active batches = 1.7932e+00 seconds\n", + " Time synchronizing fission bank = 4.3005e-03 seconds\n", + " Sampling source sites = 3.8080e-03 seconds\n", + " SEND/RECV source sites = 4.6940e-04 seconds\n", + " Time accumulating tallies = 1.6604e-02 seconds\n", + " Time writing statepoints = 8.4289e-03 seconds\n", + " Total time for finalization = 1.1203e-04 seconds\n", + " Total time elapsed = 2.1851e+00 seconds\n", + " Calculation Rate (inactive) = 26248.3 particles/second\n", + " Calculation Rate (active) = 22307 particles/second\n", "\n", " ============================> RESULTS <============================\n", "\n", - " k-effective (Collision) = 1.41574 +/- 0.00666\n", - " k-effective (Track-length) = 1.41725 +/- 0.00841\n", - " k-effective (Absorption) = 1.42868 +/- 0.00429\n", - " Combined k-effective = 1.42755 +/- 0.00464\n", + " k-effective (Collision) = 1.41664 +/- 0.00557\n", + " k-effective (Track-length) = 1.41718 +/- 0.00767\n", + " k-effective (Absorption) = 1.41504 +/- 0.00530\n", + " Combined k-effective = 1.41572 +/- 0.00495\n", " Leakage Fraction = 0.00000 +/- 0.00000\n", "\n", " Creating state point openmc_simulation_n4.h5...\n", @@ -856,82 +864,82 @@ "\n", " Bat./Gen. k Average k\n", " ========= ======== ====================\n", - " 1/1 1.41046\n", - " 2/1 1.38415\n", - " 3/1 1.41886\n", - " 4/1 1.49276\n", - " 5/1 1.51088\n", - " 6/1 1.47652\n", - " 7/1 1.35478\n", - " 8/1 1.35145\n", - " 9/1 1.49048\n", - " 10/1 1.44388\n", - " 11/1 1.46152\n", - " 12/1 1.46663 1.46408 +/- 0.00255\n", - " 13/1 1.47189 1.46668 +/- 0.00299\n", - " 14/1 1.39703 1.44927 +/- 0.01754\n", - " 15/1 1.41472 1.44236 +/- 0.01524\n", - " 16/1 1.42886 1.44011 +/- 0.01265\n", - " 17/1 1.45836 1.44272 +/- 0.01100\n", - " 18/1 1.44504 1.44301 +/- 0.00953\n", - " 19/1 1.35868 1.43364 +/- 0.01259\n", - " 20/1 1.36823 1.42710 +/- 0.01302\n", - " 21/1 1.44284 1.42853 +/- 0.01186\n", - " 22/1 1.52754 1.43678 +/- 0.01362\n", - " 23/1 1.44989 1.43779 +/- 0.01257\n", - " 24/1 1.48022 1.44082 +/- 0.01202\n", - " 25/1 1.40460 1.43840 +/- 0.01145\n", - " 26/1 1.36586 1.43387 +/- 0.01163\n", - " 27/1 1.35671 1.42933 +/- 0.01183\n", - " 28/1 1.54670 1.43585 +/- 0.01292\n", - " 29/1 1.41323 1.43466 +/- 0.01228\n", - " 30/1 1.41355 1.43361 +/- 0.01170\n", - " 31/1 1.56992 1.44010 +/- 0.01288\n", - " 32/1 1.35745 1.43634 +/- 0.01284\n", - " 33/1 1.42131 1.43569 +/- 0.01229\n", - " 34/1 1.45210 1.43637 +/- 0.01179\n", - " 35/1 1.36098 1.43335 +/- 0.01170\n", - " 36/1 1.45621 1.43423 +/- 0.01128\n", - " 37/1 1.47355 1.43569 +/- 0.01095\n", - " 38/1 1.44393 1.43598 +/- 0.01055\n", - " 39/1 1.52203 1.43895 +/- 0.01061\n", - " 40/1 1.43143 1.43870 +/- 0.01025\n", - " 41/1 1.44187 1.43880 +/- 0.00991\n", - " 42/1 1.27834 1.43379 +/- 0.01083\n", - " 43/1 1.38906 1.43243 +/- 0.01058\n", - " 44/1 1.41543 1.43193 +/- 0.01028\n", - " 45/1 1.39747 1.43095 +/- 0.01003\n", - " 46/1 1.38755 1.42974 +/- 0.00982\n", - " 47/1 1.40362 1.42904 +/- 0.00958\n", - " 48/1 1.32535 1.42631 +/- 0.00971\n", - " 49/1 1.38622 1.42528 +/- 0.00952\n", - " 50/1 1.40968 1.42489 +/- 0.00928\n", + " 1/1 1.46306\n", + " 2/1 1.40413\n", + " 3/1 1.38221\n", + " 4/1 1.39894\n", + " 5/1 1.41542\n", + " 6/1 1.39772\n", + " 7/1 1.45022\n", + " 8/1 1.44785\n", + " 9/1 1.48213\n", + " 10/1 1.46955\n", + " 11/1 1.42723\n", + " 12/1 1.34964 1.38843 +/- 0.03879\n", + " 13/1 1.42135 1.39940 +/- 0.02494\n", + " 14/1 1.37438 1.39315 +/- 0.01871\n", + " 15/1 1.38311 1.39114 +/- 0.01463\n", + " 16/1 1.41977 1.39591 +/- 0.01286\n", + " 17/1 1.33150 1.38671 +/- 0.01424\n", + " 18/1 1.42436 1.39142 +/- 0.01320\n", + " 19/1 1.38779 1.39101 +/- 0.01165\n", + " 20/1 1.38721 1.39063 +/- 0.01043\n", + " 21/1 1.36568 1.38837 +/- 0.00970\n", + " 22/1 1.46070 1.39439 +/- 0.01071\n", + " 23/1 1.33710 1.38999 +/- 0.01080\n", + " 24/1 1.36294 1.38805 +/- 0.01018\n", + " 25/1 1.42953 1.39082 +/- 0.00987\n", + " 26/1 1.38685 1.39057 +/- 0.00924\n", + " 27/1 1.38880 1.39047 +/- 0.00868\n", + " 28/1 1.40920 1.39151 +/- 0.00825\n", + " 29/1 1.42561 1.39330 +/- 0.00800\n", + " 30/1 1.37126 1.39220 +/- 0.00767\n", + " 31/1 1.41916 1.39348 +/- 0.00741\n", + " 32/1 1.43876 1.39554 +/- 0.00736\n", + " 33/1 1.46095 1.39839 +/- 0.00759\n", + " 34/1 1.45793 1.40087 +/- 0.00767\n", + " 35/1 1.50240 1.40493 +/- 0.00841\n", + " 36/1 1.48791 1.40812 +/- 0.00869\n", + " 37/1 1.48119 1.41083 +/- 0.00878\n", + " 38/1 1.41484 1.41097 +/- 0.00847\n", + " 39/1 1.37848 1.40985 +/- 0.00825\n", + " 40/1 1.44824 1.41113 +/- 0.00807\n", + " 41/1 1.39708 1.41068 +/- 0.00782\n", + " 42/1 1.53692 1.41462 +/- 0.00854\n", + " 43/1 1.46509 1.41615 +/- 0.00841\n", + " 44/1 1.37780 1.41502 +/- 0.00824\n", + " 45/1 1.38167 1.41407 +/- 0.00806\n", + " 46/1 1.37516 1.41299 +/- 0.00790\n", + " 47/1 1.35518 1.41143 +/- 0.00784\n", + " 48/1 1.43825 1.41213 +/- 0.00767\n", + " 49/1 1.47710 1.41380 +/- 0.00765\n", + " 50/1 1.29075 1.41072 +/- 0.00807\n", " Creating state point statepoint.50.h5...\n", "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", " Total time for initialization = 0.0000e+00 seconds\n", " Reading cross sections = 0.0000e+00 seconds\n", - " Total time in simulation = 1.3098e+01 seconds\n", - " Time in transport only = 1.3089e+01 seconds\n", - " Time in inactive batches = 2.2179e+00 seconds\n", - " Time in active batches = 1.0881e+01 seconds\n", - " Time synchronizing fission bank = 4.5930e-03 seconds\n", - " Sampling source sites = 4.1842e-03 seconds\n", - " SEND/RECV source sites = 3.7955e-04 seconds\n", - " Time accumulating tallies = 2.4737e-04 seconds\n", - " Time writing statepoints = 2.7292e-03 seconds\n", - " Total time for finalization = 5.2371e-05 seconds\n", - " Total time elapsed = 1.3112e+01 seconds\n", - " Calculation Rate (inactive) = 4508.68 particles/second\n", - " Calculation Rate (active) = 3676.29 particles/second\n", + " Total time in simulation = 2.2692e+00 seconds\n", + " Time in transport only = 2.2311e+00 seconds\n", + " Time in inactive batches = 3.7992e-01 seconds\n", + " Time in active batches = 1.8893e+00 seconds\n", + " Time synchronizing fission bank = 4.1443e-03 seconds\n", + " Sampling source sites = 3.6657e-03 seconds\n", + " SEND/RECV source sites = 4.5581e-04 seconds\n", + " Time accumulating tallies = 1.1112e-02 seconds\n", + " Time writing statepoints = 9.1483e-03 seconds\n", + " Total time for finalization = 1.8265e-04 seconds\n", + " Total time elapsed = 2.2804e+00 seconds\n", + " Calculation Rate (inactive) = 26321.7 particles/second\n", + " Calculation Rate (active) = 21172.1 particles/second\n", "\n", " ============================> RESULTS <============================\n", "\n", - " k-effective (Collision) = 1.42490 +/- 0.00784\n", - " k-effective (Track-length) = 1.42489 +/- 0.00928\n", - " k-effective (Absorption) = 1.42584 +/- 0.00494\n", - " Combined k-effective = 1.42575 +/- 0.00483\n", + " k-effective (Collision) = 1.41804 +/- 0.00536\n", + " k-effective (Track-length) = 1.41072 +/- 0.00807\n", + " k-effective (Absorption) = 1.41232 +/- 0.00474\n", + " Combined k-effective = 1.41568 +/- 0.00449\n", " Leakage Fraction = 0.00000 +/- 0.00000\n", "\n", " Creating state point openmc_simulation_n5.h5...\n", @@ -943,82 +951,82 @@ "\n", " Bat./Gen. k Average k\n", " ========= ======== ====================\n", - " 1/1 1.46692\n", - " 2/1 1.42016\n", - " 3/1 1.35815\n", - " 4/1 1.38064\n", - " 5/1 1.44504\n", - " 6/1 1.36182\n", - " 7/1 1.31279\n", - " 8/1 1.47632\n", - " 9/1 1.48287\n", - " 10/1 1.40492\n", - " 11/1 1.34730\n", - " 12/1 1.46660 1.40695 +/- 0.05965\n", - " 13/1 1.47009 1.42800 +/- 0.04036\n", - " 14/1 1.41037 1.42359 +/- 0.02888\n", - " 15/1 1.35040 1.40895 +/- 0.02673\n", - " 16/1 1.41945 1.41070 +/- 0.02190\n", - " 17/1 1.54521 1.42992 +/- 0.02668\n", - " 18/1 1.45638 1.43322 +/- 0.02334\n", - " 19/1 1.38313 1.42766 +/- 0.02132\n", - " 20/1 1.48971 1.43386 +/- 0.02006\n", - " 21/1 1.43673 1.43412 +/- 0.01814\n", - " 22/1 1.38255 1.42983 +/- 0.01711\n", - " 23/1 1.47338 1.43318 +/- 0.01609\n", - " 24/1 1.43212 1.43310 +/- 0.01490\n", - " 25/1 1.47334 1.43578 +/- 0.01413\n", - " 26/1 1.44139 1.43613 +/- 0.01322\n", - " 27/1 1.47399 1.43836 +/- 0.01262\n", - " 28/1 1.45271 1.43916 +/- 0.01192\n", - " 29/1 1.41352 1.43781 +/- 0.01136\n", - " 30/1 1.40013 1.43593 +/- 0.01094\n", - " 31/1 1.44858 1.43653 +/- 0.01042\n", - " 32/1 1.38137 1.43402 +/- 0.01025\n", - " 33/1 1.37217 1.43133 +/- 0.01015\n", - " 34/1 1.36865 1.42872 +/- 0.01007\n", - " 35/1 1.35863 1.42592 +/- 0.01005\n", - " 36/1 1.41942 1.42567 +/- 0.00966\n", - " 37/1 1.47196 1.42738 +/- 0.00945\n", - " 38/1 1.50806 1.43026 +/- 0.00956\n", - " 39/1 1.38029 1.42854 +/- 0.00938\n", - " 40/1 1.32528 1.42510 +/- 0.00969\n", - " 41/1 1.43717 1.42549 +/- 0.00938\n", - " 42/1 1.40786 1.42494 +/- 0.00910\n", - " 43/1 1.45468 1.42584 +/- 0.00887\n", - " 44/1 1.32809 1.42296 +/- 0.00907\n", - " 45/1 1.37289 1.42153 +/- 0.00892\n", - " 46/1 1.39638 1.42083 +/- 0.00870\n", - " 47/1 1.45351 1.42172 +/- 0.00851\n", - " 48/1 1.37909 1.42059 +/- 0.00836\n", - " 49/1 1.41817 1.42053 +/- 0.00814\n", - " 50/1 1.36996 1.41927 +/- 0.00803\n", + " 1/1 1.44678\n", + " 2/1 1.34716\n", + " 3/1 1.36739\n", + " 4/1 1.39101\n", + " 5/1 1.49718\n", + " 6/1 1.51489\n", + " 7/1 1.44260\n", + " 8/1 1.46439\n", + " 9/1 1.44700\n", + " 10/1 1.38851\n", + " 11/1 1.46101\n", + " 12/1 1.47356 1.46728 +/- 0.00627\n", + " 13/1 1.40065 1.44507 +/- 0.02251\n", + " 14/1 1.35718 1.42310 +/- 0.02713\n", + " 15/1 1.38017 1.41451 +/- 0.02270\n", + " 16/1 1.37180 1.40739 +/- 0.01986\n", + " 17/1 1.52455 1.42413 +/- 0.02370\n", + " 18/1 1.45525 1.42802 +/- 0.02089\n", + " 19/1 1.44822 1.43026 +/- 0.01856\n", + " 20/1 1.37248 1.42449 +/- 0.01758\n", + " 21/1 1.42099 1.42417 +/- 0.01590\n", + " 22/1 1.42216 1.42400 +/- 0.01452\n", + " 23/1 1.45655 1.42650 +/- 0.01359\n", + " 24/1 1.36976 1.42245 +/- 0.01322\n", + " 25/1 1.44990 1.42428 +/- 0.01244\n", + " 26/1 1.32784 1.41825 +/- 0.01310\n", + " 27/1 1.41348 1.41797 +/- 0.01231\n", + " 28/1 1.34169 1.41374 +/- 0.01236\n", + " 29/1 1.41758 1.41394 +/- 0.01169\n", + " 30/1 1.36275 1.41138 +/- 0.01138\n", + " 31/1 1.49931 1.41557 +/- 0.01161\n", + " 32/1 1.45097 1.41717 +/- 0.01118\n", + " 33/1 1.51481 1.42142 +/- 0.01150\n", + " 34/1 1.37432 1.41946 +/- 0.01118\n", + " 35/1 1.48161 1.42194 +/- 0.01101\n", + " 36/1 1.40184 1.42117 +/- 0.01061\n", + " 37/1 1.29647 1.41655 +/- 0.01120\n", + " 38/1 1.45697 1.41800 +/- 0.01089\n", + " 39/1 1.38990 1.41703 +/- 0.01055\n", + " 40/1 1.40550 1.41664 +/- 0.01020\n", + " 41/1 1.46331 1.41815 +/- 0.00998\n", + " 42/1 1.43932 1.41881 +/- 0.00969\n", + " 43/1 1.38469 1.41777 +/- 0.00945\n", + " 44/1 1.42941 1.41812 +/- 0.00917\n", + " 45/1 1.35216 1.41623 +/- 0.00910\n", + " 46/1 1.36468 1.41480 +/- 0.00896\n", + " 47/1 1.38988 1.41413 +/- 0.00874\n", + " 48/1 1.58585 1.41865 +/- 0.00963\n", + " 49/1 1.30513 1.41574 +/- 0.00982\n", + " 50/1 1.33485 1.41371 +/- 0.00979\n", " Creating state point statepoint.50.h5...\n", "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", " Total time for initialization = 0.0000e+00 seconds\n", " Reading cross sections = 0.0000e+00 seconds\n", - " Total time in simulation = 1.3234e+01 seconds\n", - " Time in transport only = 1.3225e+01 seconds\n", - " Time in inactive batches = 2.2456e+00 seconds\n", - " Time in active batches = 1.0989e+01 seconds\n", - " Time synchronizing fission bank = 4.2442e-03 seconds\n", - " Sampling source sites = 3.8368e-03 seconds\n", - " SEND/RECV source sites = 3.8075e-04 seconds\n", - " Time accumulating tallies = 2.4804e-04 seconds\n", - " Time writing statepoints = 2.7128e-03 seconds\n", - " Total time for finalization = 5.0970e-05 seconds\n", - " Total time elapsed = 1.3248e+01 seconds\n", - " Calculation Rate (inactive) = 4453.13 particles/second\n", - " Calculation Rate (active) = 3640.13 particles/second\n", + " Total time in simulation = 2.2627e+00 seconds\n", + " Time in transport only = 2.2212e+00 seconds\n", + " Time in inactive batches = 3.7561e-01 seconds\n", + " Time in active batches = 1.8871e+00 seconds\n", + " Time synchronizing fission bank = 4.1635e-03 seconds\n", + " Sampling source sites = 3.6738e-03 seconds\n", + " SEND/RECV source sites = 4.6676e-04 seconds\n", + " Time accumulating tallies = 1.9553e-02 seconds\n", + " Time writing statepoints = 9.2177e-03 seconds\n", + " Total time for finalization = 1.9956e-04 seconds\n", + " Total time elapsed = 2.2739e+00 seconds\n", + " Calculation Rate (inactive) = 26623.6 particles/second\n", + " Calculation Rate (active) = 21196.5 particles/second\n", "\n", " ============================> RESULTS <============================\n", "\n", - " k-effective (Collision) = 1.42429 +/- 0.00588\n", - " k-effective (Track-length) = 1.41927 +/- 0.00803\n", - " k-effective (Absorption) = 1.42275 +/- 0.00472\n", - " Combined k-effective = 1.42368 +/- 0.00460\n", + " k-effective (Collision) = 1.41716 +/- 0.00736\n", + " k-effective (Track-length) = 1.41371 +/- 0.00979\n", + " k-effective (Absorption) = 1.42694 +/- 0.00479\n", + " Combined k-effective = 1.42526 +/- 0.00491\n", " Leakage Fraction = 0.00000 +/- 0.00000\n", "\n", " Creating state point openmc_simulation_n6.h5...\n" @@ -1047,10 +1055,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "c5g7.h5\t\t\t openmc_simulation_n2.h5 openmc_simulation_n6.h5\n", "depletion_results.h5\t openmc_simulation_n3.h5 statepoint.50.h5\n", "openmc_simulation_n0.h5 openmc_simulation_n4.h5 summary.h5\n", - "openmc_simulation_n1.h5 openmc_simulation_n5.h5\n" + "openmc_simulation_n1.h5 openmc_simulation_n5.h5\n", + "openmc_simulation_n2.h5 openmc_simulation_n6.h5\n" ] } ], @@ -1100,13 +1108,13 @@ { "data": { "text/plain": [ - "array([[1.46477526, 0.00392422],\n", - " [1.43890826, 0.00465543],\n", - " [1.43604211, 0.00493173],\n", - " [1.42958815, 0.00429288],\n", - " [1.42754967, 0.00463556],\n", - " [1.42575323, 0.00483288],\n", - " [1.42368305, 0.00459654]])" + "array([[1.45490147, 0.00474236],\n", + " [1.43943243, 0.00475038],\n", + " [1.42781404, 0.0035448 ],\n", + " [1.42849313, 0.00451031],\n", + " [1.41571572, 0.00495453],\n", + " [1.41567621, 0.00449157],\n", + " [1.42525626, 0.00491492]])" ] }, "execution_count": 20, @@ -1141,14 +1149,12 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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", 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", 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", + "image/png": 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", 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", 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", 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", 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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1486,7 +1484,7 @@ { "data": { "text/plain": [ - "5.080339195584719" + "5.080339195444219" ] }, "execution_count": 38, @@ -1548,7 +1546,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.1" + "version": "3.11.6" } }, "nbformat": 4, diff --git a/RBMK/RBMK.ipynb b/RBMK/RBMK.ipynb index 09185c4..8c3be2d 100644 --- a/RBMK/RBMK.ipynb +++ b/RBMK/RBMK.ipynb @@ -2,6 +2,7 @@ "cells": [ { "cell_type": "markdown", + "id": "197d82b4", "metadata": {}, "source": [ "# A RBMK geometry \n", @@ -17,9 +18,19 @@ { "cell_type": "code", "execution_count": 1, + "id": "7b28ed9f", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "env: OPENMC_CROSS_SECTIONS=/opt/xdata/endfb-vii.1-hdf5/cross_sections.xml\n" + ] + } + ], "source": [ + "%env OPENMC_CROSS_SECTIONS /opt/xdata/endfb-vii.1-hdf5/cross_sections.xml\n", "%matplotlib inline\n", "from math import pi, sin, cos, sqrt\n", "import numpy as np\n", @@ -29,6 +40,7 @@ { "cell_type": "code", "execution_count": 2, + "id": "c7518256", "metadata": {}, "outputs": [], "source": [ @@ -61,7 +73,8 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, + "id": "e08264ac", "metadata": {}, "outputs": [], "source": [ @@ -78,7 +91,7 @@ "clad_outer_radius = openmc.ZCylinder(r=0.68)\n", "\n", "# Create a universe to encapsulate a fuel rod\n", - "pin_cell_universe = openmc.Universe(name='2.0% Fuel Pin') \n", + "pin_cell_universe = openmc.Universe(name='2.0% Fuel Pin')\n", "\n", "# Create fuel cell\n", "fuel_cell_top = openmc.Cell(name='2.0% Fuel')\n", @@ -131,13 +144,14 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, + "id": "0fa519b0", "metadata": {}, "outputs": [], "source": [ "# Geometry definitions for the fuel rod\n", "\n", - "rod_inner_radius = openmc.ZCylinder(r=0.75) \n", + "rod_inner_radius = openmc.ZCylinder(r=0.75)\n", "rod_outer_radius = openmc.ZCylinder(r=0.7625)\n", "\n", "rod_cell_universe = openmc.Universe(name='Carrier Rod')\n", @@ -155,7 +169,8 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, + "id": "778d598c", "metadata": {}, "outputs": [], "source": [ @@ -185,7 +200,8 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, + "id": "0701a951", "metadata": {}, "outputs": [], "source": [ @@ -214,7 +230,8 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, + "id": "49f9702b", "metadata": {}, "outputs": [], "source": [ @@ -235,7 +252,8 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, + "id": "896dbfd3", "metadata": {}, "outputs": [], "source": [ @@ -245,29 +263,28 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 9, + "id": "fd63af64", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 14, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -277,7 +294,8 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 10, + "id": "5d1ed0ce", "metadata": {}, "outputs": [], "source": [ @@ -301,8 +319,11 @@ }, { "cell_type": "code", - "execution_count": 16, - "metadata": {}, + "execution_count": 11, + "id": "3b58cced", + "metadata": { + "scrolled": false + }, "outputs": [ { "name": "stdout", @@ -332,199 +353,175 @@ " ######## %%%%%%%%%%%%%%\n", " %%%%%%%%%%%\n", "\n", - " | The OpenMC Monte Carlo Code\n", - " Copyright | 2011-2020 MIT and OpenMC contributors\n", - " License | https://docs.openmc.org/en/latest/license.html\n", - " Version | 0.12.1-dev\n", - " Git SHA1 | 0228ddba1d6399e654a295e51539590f076b2a3c\n", - " Date/Time | 2021-04-12 12:40:32\n", - " OpenMP Threads | 8\n", + " | The OpenMC Monte Carlo Code\n", + " Copyright | 2011-2023 MIT, UChicago Argonne LLC, and contributors\n", + " License | https://docs.openmc.org/en/latest/license.html\n", + " Version | 0.13.3\n", + " Git SHA1 | 50e39a4e20dc9e0f3d7ccf07333f6a5e6c797c8c\n", + " Date/Time | 2023-10-31 23:03:43\n", + " OpenMP Threads | 4\n", "\n", " Reading settings XML file...\n", " Reading cross sections XML file...\n", " Reading materials XML file...\n", " Reading geometry XML file...\n", - " Reading U234 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/U234.h5\n", - " Reading U235 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/U235.h5\n", - " Reading U238 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/U238.h5\n", - " Reading U236 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/U236.h5\n", - " Reading Er162 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Er162.h5\n", - " Reading Er164 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Er164.h5\n", - " Reading Er166 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Er166.h5\n", - " Reading Er167 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Er167.h5\n", - " Reading Er168 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Er168.h5\n", - " Reading Er170 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Er170.h5\n", - " Reading O16 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/O16.h5\n", - " Reading Zr90 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Zr90.h5\n", - " Reading Zr91 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Zr91.h5\n", - " Reading Zr92 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Zr92.h5\n", - " Reading Zr94 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Zr94.h5\n", - " Reading Zr96 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Zr96.h5\n", - " Reading Nb93 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Nb93.h5\n", - " Reading He3 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/He3.h5\n", - " Reading He4 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/He4.h5\n", - " Minimum neutron data temperature: 294.0 K\n", - " Maximum neutron data temperature: 294.0 K\n", + " Reading U234 from /opt/xdata/endfb-vii.1-hdf5/neutron/U234.h5\n", + " Reading U235 from /opt/xdata/endfb-vii.1-hdf5/neutron/U235.h5\n", + " Reading U238 from /opt/xdata/endfb-vii.1-hdf5/neutron/U238.h5\n", + " Reading U236 from /opt/xdata/endfb-vii.1-hdf5/neutron/U236.h5\n", + " Reading Er162 from /opt/xdata/endfb-vii.1-hdf5/neutron/Er162.h5\n", + " Reading Er164 from /opt/xdata/endfb-vii.1-hdf5/neutron/Er164.h5\n", + " Reading Er166 from /opt/xdata/endfb-vii.1-hdf5/neutron/Er166.h5\n", + " Reading Er167 from /opt/xdata/endfb-vii.1-hdf5/neutron/Er167.h5\n", + " Reading Er168 from /opt/xdata/endfb-vii.1-hdf5/neutron/Er168.h5\n", + " Reading Er170 from /opt/xdata/endfb-vii.1-hdf5/neutron/Er170.h5\n", + " Reading O16 from /opt/xdata/endfb-vii.1-hdf5/neutron/O16.h5\n", + " Reading Zr90 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr90.h5\n", + " Reading Zr91 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr91.h5\n", + " Reading Zr92 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr92.h5\n", + " Reading Zr94 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr94.h5\n", + " Reading Zr96 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr96.h5\n", + " Reading Nb93 from /opt/xdata/endfb-vii.1-hdf5/neutron/Nb93.h5\n", + " Reading He3 from /opt/xdata/endfb-vii.1-hdf5/neutron/He3.h5\n", + " Reading He4 from /opt/xdata/endfb-vii.1-hdf5/neutron/He4.h5\n", + " Minimum neutron data temperature: 294 K\n", + " Maximum neutron data temperature: 294 K\n", " Preparing distributed cell instances...\n", + " Reading plot XML file...\n", " Writing summary.h5 file...\n", - " Maximum neutron transport energy: 20000000.0 eV for U235\n", + " Maximum neutron transport energy: 20000000 eV for U235\n", " Initializing source particles...\n", "\n", " ====================> K EIGENVALUE SIMULATION <====================\n", "\n", " Bat./Gen. k Average k\n", " ========= ======== ====================\n", - " 1/1 0.36726\n", - " 2/1 0.41917\n", - " 3/1 0.41996\n", - " 4/1 0.42104\n", - " 5/1 0.42013\n", - " 6/1 0.41539\n", - " 7/1 0.41936\n", - " 8/1 0.41825\n", - " 9/1 0.43324\n", - " 10/1 0.43023\n", - " 11/1 0.43863\n", - " 12/1 0.41949 0.42906 +/- 0.00957\n", - " 13/1 0.41553 0.42455 +/- 0.00713\n", - " 14/1 0.43122 0.42622 +/- 0.00531\n", - " 15/1 0.43523 0.42802 +/- 0.00449\n", - " 16/1 0.42006 0.42670 +/- 0.00390\n", - " 17/1 0.42561 0.42654 +/- 0.00330\n", - " 18/1 0.41654 0.42529 +/- 0.00312\n", - " 19/1 0.43361 0.42621 +/- 0.00290\n", - " 20/1 0.41500 0.42509 +/- 0.00283\n", - " 21/1 0.42439 0.42503 +/- 0.00256\n", - " 22/1 0.41977 0.42459 +/- 0.00238\n", - " 23/1 0.41752 0.42405 +/- 0.00225\n", - " 24/1 0.43619 0.42491 +/- 0.00226\n", - " 25/1 0.41760 0.42443 +/- 0.00216\n", - " 26/1 0.42986 0.42477 +/- 0.00205\n", - " 27/1 0.41637 0.42427 +/- 0.00199\n", - " 28/1 0.41170 0.42357 +/- 0.00200\n", - " 29/1 0.41593 0.42317 +/- 0.00193\n", - " 30/1 0.41912 0.42297 +/- 0.00184\n", - " 31/1 0.41365 0.42253 +/- 0.00181\n", - " 32/1 0.41400 0.42214 +/- 0.00177\n", - " 33/1 0.41753 0.42194 +/- 0.00170\n", - " 34/1 0.41432 0.42162 +/- 0.00166\n", - " 35/1 0.41323 0.42128 +/- 0.00163\n", - " 36/1 0.43010 0.42162 +/- 0.00160\n", - " 37/1 0.41552 0.42140 +/- 0.00156\n", - " 38/1 0.41385 0.42113 +/- 0.00152\n", - " 39/1 0.42110 0.42113 +/- 0.00147\n", - " 40/1 0.41254 0.42084 +/- 0.00145\n", - " 41/1 0.41489 0.42065 +/- 0.00141\n", - " 42/1 0.42521 0.42079 +/- 0.00138\n", - " 43/1 0.42345 0.42087 +/- 0.00134\n", - " 44/1 0.42805 0.42108 +/- 0.00131\n", - " 45/1 0.42292 0.42114 +/- 0.00128\n", - " 46/1 0.42032 0.42111 +/- 0.00124\n", - " 47/1 0.42226 0.42114 +/- 0.00121\n", - " 48/1 0.42795 0.42132 +/- 0.00119\n", - " 49/1 0.41490 0.42116 +/- 0.00117\n", - " 50/1 0.42862 0.42134 +/- 0.00115\n", - " 51/1 0.42480 0.42143 +/- 0.00113\n", - " 52/1 0.41355 0.42124 +/- 0.00112\n", - " 53/1 0.42440 0.42131 +/- 0.00109\n", - " 54/1 0.41865 0.42125 +/- 0.00107\n", - " 55/1 0.42069 0.42124 +/- 0.00105\n", - " 56/1 0.41623 0.42113 +/- 0.00103\n", - " 57/1 0.41685 0.42104 +/- 0.00101\n", - " 58/1 0.41834 0.42099 +/- 0.00099\n", - " 59/1 0.43448 0.42126 +/- 0.00101\n", - " 60/1 0.40917 0.42102 +/- 0.00102\n", - " 61/1 0.42187 0.42104 +/- 0.00100\n", - " 62/1 0.42270 0.42107 +/- 0.00098\n", - " 63/1 0.42030 0.42105 +/- 0.00096\n", - " 64/1 0.43457 0.42130 +/- 0.00098\n", - " 65/1 0.41390 0.42117 +/- 0.00097\n", - " 66/1 0.42198 0.42118 +/- 0.00095\n", - " 67/1 0.42026 0.42117 +/- 0.00093\n", - " 68/1 0.41652 0.42109 +/- 0.00092\n", - " 69/1 0.41120 0.42092 +/- 0.00092\n", - " 70/1 0.42104 0.42092 +/- 0.00090\n", - " 71/1 0.40883 0.42072 +/- 0.00091\n", - " 72/1 0.42478 0.42079 +/- 0.00090\n", - " 73/1 0.42060 0.42079 +/- 0.00088\n", - " 74/1 0.41950 0.42077 +/- 0.00087\n", - " 75/1 0.41800 0.42072 +/- 0.00086\n", - " 76/1 0.42313 0.42076 +/- 0.00085\n", - " 77/1 0.42090 0.42076 +/- 0.00083\n", - " 78/1 0.41947 0.42074 +/- 0.00082\n", - " 79/1 0.42478 0.42080 +/- 0.00081\n", - " 80/1 0.43185 0.42096 +/- 0.00082\n", - " 81/1 0.41999 0.42094 +/- 0.00080\n", - " 82/1 0.41669 0.42089 +/- 0.00079\n", - " 83/1 0.42688 0.42097 +/- 0.00079\n", - " 84/1 0.42583 0.42103 +/- 0.00078\n", - " 85/1 0.41937 0.42101 +/- 0.00077\n", - " 86/1 0.42302 0.42104 +/- 0.00076\n", - " 87/1 0.41306 0.42093 +/- 0.00076\n", - " 88/1 0.42048 0.42093 +/- 0.00075\n", - " 89/1 0.41601 0.42087 +/- 0.00074\n", - " 90/1 0.42380 0.42090 +/- 0.00073\n", - " 91/1 0.42252 0.42092 +/- 0.00072\n", - " 92/1 0.42163 0.42093 +/- 0.00071\n", - " 93/1 0.42060 0.42093 +/- 0.00071\n", - " 94/1 0.41860 0.42090 +/- 0.00070\n", - " 95/1 0.41718 0.42086 +/- 0.00069\n", - " 96/1 0.42078 0.42085 +/- 0.00068\n", - " 97/1 0.41894 0.42083 +/- 0.00068\n", - " 98/1 0.40850 0.42069 +/- 0.00068\n", - " 99/1 0.41439 0.42062 +/- 0.00068\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 100/1 0.41280 0.42054 +/- 0.00068\n", + " 1/1 0.36789\n", + " 2/1 0.42299\n", + " 3/1 0.41987\n", + " 4/1 0.42596\n", + " 5/1 0.41234\n", + " 6/1 0.42963\n", + " 7/1 0.42266\n", + " 8/1 0.42423\n", + " 9/1 0.42123\n", + " 10/1 0.43412\n", + " 11/1 0.41709\n", + " 12/1 0.42381 0.42045 +/- 0.00336\n", + " 13/1 0.42377 0.42156 +/- 0.00223\n", + " 14/1 0.43119 0.42396 +/- 0.00288\n", + " 15/1 0.41749 0.42267 +/- 0.00258\n", + " 16/1 0.42491 0.42304 +/- 0.00214\n", + " 17/1 0.41893 0.42245 +/- 0.00190\n", + " 18/1 0.41910 0.42204 +/- 0.00170\n", + " 19/1 0.42348 0.42220 +/- 0.00151\n", + " 20/1 0.42303 0.42228 +/- 0.00135\n", + " 21/1 0.42054 0.42212 +/- 0.00123\n", + " 22/1 0.42196 0.42211 +/- 0.00112\n", + " 23/1 0.41419 0.42150 +/- 0.00120\n", + " 24/1 0.41866 0.42130 +/- 0.00113\n", + " 25/1 0.41443 0.42084 +/- 0.00115\n", + " 26/1 0.41911 0.42073 +/- 0.00108\n", + " 27/1 0.41603 0.42045 +/- 0.00105\n", + " 28/1 0.42151 0.42051 +/- 0.00099\n", + " 29/1 0.42466 0.42073 +/- 0.00096\n", + " 30/1 0.42696 0.42104 +/- 0.00097\n", + " 31/1 0.42019 0.42100 +/- 0.00092\n", + " 32/1 0.41925 0.42092 +/- 0.00088\n", + " 33/1 0.42851 0.42125 +/- 0.00090\n", + " 34/1 0.41904 0.42116 +/- 0.00087\n", + " 35/1 0.41336 0.42085 +/- 0.00089\n", + " 36/1 0.40825 0.42036 +/- 0.00098\n", + " 37/1 0.42126 0.42040 +/- 0.00095\n", + " 38/1 0.41770 0.42030 +/- 0.00092\n", + " 39/1 0.41320 0.42006 +/- 0.00092\n", + " 40/1 0.42092 0.42008 +/- 0.00089\n", + " 41/1 0.41800 0.42002 +/- 0.00086\n", + " 42/1 0.41783 0.41995 +/- 0.00084\n", + " 43/1 0.41593 0.41983 +/- 0.00082\n", + " 44/1 0.41648 0.41973 +/- 0.00080\n", + " 45/1 0.42461 0.41987 +/- 0.00079\n", + " 46/1 0.42635 0.42005 +/- 0.00079\n", + " 47/1 0.42601 0.42021 +/- 0.00078\n", + " 48/1 0.42524 0.42034 +/- 0.00077\n", + " 49/1 0.42391 0.42043 +/- 0.00076\n", + " 50/1 0.42644 0.42058 +/- 0.00076\n", + " 51/1 0.42461 0.42068 +/- 0.00074\n", + " 52/1 0.41400 0.42052 +/- 0.00074\n", + " 53/1 0.40554 0.42017 +/- 0.00081\n", + " 54/1 0.41609 0.42008 +/- 0.00079\n", + " 55/1 0.41939 0.42007 +/- 0.00077\n", + " 56/1 0.42482 0.42017 +/- 0.00076\n", + " 57/1 0.42144 0.42020 +/- 0.00075\n", + " 58/1 0.42266 0.42025 +/- 0.00073\n", + " 59/1 0.41754 0.42019 +/- 0.00072\n", + " 60/1 0.41618 0.42011 +/- 0.00071\n", + " 61/1 0.40759 0.41987 +/- 0.00074\n", + " 62/1 0.42328 0.41993 +/- 0.00073\n", + " 63/1 0.42103 0.41995 +/- 0.00071\n", + " 64/1 0.42951 0.42013 +/- 0.00072\n", + " 65/1 0.40918 0.41993 +/- 0.00074\n", + " 66/1 0.41632 0.41987 +/- 0.00073\n", + " 67/1 0.40789 0.41966 +/- 0.00074\n", + " 68/1 0.41921 0.41965 +/- 0.00073\n", + " 69/1 0.41250 0.41953 +/- 0.00073\n", + " 70/1 0.41571 0.41946 +/- 0.00072\n", + " 71/1 0.41786 0.41944 +/- 0.00071\n", + " 72/1 0.41826 0.41942 +/- 0.00070\n", + " 73/1 0.41586 0.41936 +/- 0.00069\n", + " 74/1 0.41208 0.41925 +/- 0.00069\n", + " 75/1 0.42209 0.41929 +/- 0.00068\n", + " 76/1 0.41875 0.41928 +/- 0.00067\n", + " 77/1 0.42818 0.41942 +/- 0.00067\n", + " 78/1 0.42043 0.41943 +/- 0.00066\n", + " 79/1 0.42366 0.41949 +/- 0.00065\n", + " 80/1 0.41737 0.41946 +/- 0.00065\n", + " 81/1 0.41772 0.41944 +/- 0.00064\n", + " 82/1 0.42922 0.41957 +/- 0.00064\n", + " 83/1 0.42357 0.41963 +/- 0.00064\n", + " 84/1 0.41841 0.41961 +/- 0.00063\n", + " 85/1 0.42532 0.41969 +/- 0.00062\n", + " 86/1 0.42394 0.41974 +/- 0.00062\n", + " 87/1 0.42362 0.41979 +/- 0.00061\n", + " 88/1 0.42122 0.41981 +/- 0.00060\n", + " 89/1 0.43252 0.41997 +/- 0.00062\n", + " 90/1 0.40940 0.41984 +/- 0.00062\n", + " 91/1 0.41683 0.41980 +/- 0.00062\n", + " 92/1 0.41949 0.41980 +/- 0.00061\n", + " 93/1 0.42320 0.41984 +/- 0.00060\n", + " 94/1 0.42224 0.41987 +/- 0.00060\n", + " 95/1 0.42299 0.41991 +/- 0.00059\n", + " 96/1 0.42603 0.41998 +/- 0.00059\n", + " 97/1 0.42952 0.42009 +/- 0.00059\n", + " 98/1 0.41837 0.42007 +/- 0.00059\n", + " 99/1 0.42181 0.42009 +/- 0.00058\n", + " 100/1 0.41738 0.42006 +/- 0.00057\n", " Creating state point statepoint.100.h5...\n", "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", - " Total time for initialization = 3.5405e+00 seconds\n", - " Reading cross sections = 3.4979e+00 seconds\n", - " Total time in simulation = 7.6338e+01 seconds\n", - " Time in transport only = 7.6297e+01 seconds\n", - " Time in inactive batches = 7.5955e+00 seconds\n", - " Time in active batches = 6.8742e+01 seconds\n", - " Time synchronizing fission bank = 1.7017e-02 seconds\n", - " Sampling source sites = 1.3410e-02 seconds\n", - " SEND/RECV source sites = 3.5210e-03 seconds\n", - " Time accumulating tallies = 3.9000e-05 seconds\n", - " Time writing statepoints = 5.7760e-03 seconds\n", - " Total time for finalization = 4.0000e-06 seconds\n", - " Total time elapsed = 7.9891e+01 seconds\n", - " Calculation Rate (inactive) = 6582.89 particles/second\n", - " Calculation Rate (active) = 6546.18 particles/second\n", + " Total time for initialization = 1.7313e+00 seconds\n", + " Reading cross sections = 1.6946e+00 seconds\n", + " Total time in simulation = 9.4329e+01 seconds\n", + " Time in transport only = 9.4246e+01 seconds\n", + " Time in inactive batches = 9.7179e+00 seconds\n", + " Time in active batches = 8.4611e+01 seconds\n", + " Time synchronizing fission bank = 4.2822e-02 seconds\n", + " Sampling source sites = 3.6681e-02 seconds\n", + " SEND/RECV source sites = 6.0859e-03 seconds\n", + " Time accumulating tallies = 6.5997e-05 seconds\n", + " Time writing statepoints = 3.6930e-03 seconds\n", + " Total time for finalization = 7.0400e-07 seconds\n", + " Total time elapsed = 9.6071e+01 seconds\n", + " Calculation Rate (inactive) = 5145.16 particles/second\n", + " Calculation Rate (active) = 5318.44 particles/second\n", "\n", " ============================> RESULTS <============================\n", "\n", - " k-effective (Collision) = 0.42078 +/- 0.00067\n", - " k-effective (Track-length) = 0.42054 +/- 0.00068\n", - " k-effective (Absorption) = 0.42137 +/- 0.00110\n", - " Combined k-effective = 0.42081 +/- 0.00058\n", + " k-effective (Collision) = 0.41999 +/- 0.00052\n", + " k-effective (Track-length) = 0.42006 +/- 0.00057\n", + " k-effective (Absorption) = 0.41889 +/- 0.00135\n", + " Combined k-effective = 0.41986 +/- 0.00050\n", " Leakage Fraction = 0.00000 +/- 0.00000\n", "\n" ] @@ -537,7 +534,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "openmc-env", "language": "python", "name": "python3" }, @@ -551,9 +548,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.0" + "version": "3.11.6" } }, "nbformat": 4, - "nbformat_minor": 4 + "nbformat_minor": 5 } diff --git a/SFR/SFR.ipynb b/SFR/SFR.ipynb index ecfe1e3..990d152 100644 --- a/SFR/SFR.ipynb +++ b/SFR/SFR.ipynb @@ -24,8 +24,17 @@ "metadata": { "id": "EChOeJ7qVUB7" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "env: OPENMC_CROSS_SECTIONS=/opt/xdata/endfb-vii.1-hdf5/cross_sections.xml\n" + ] + } + ], "source": [ + "%env OPENMC_CROSS_SECTIONS /opt/xdata/endfb-vii.1-hdf5/cross_sections.xml\n", "%matplotlib inline\n", "import openmc" ] @@ -113,7 +122,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": { "id": "A2kNKaErZ7JR" }, @@ -126,7 +135,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": { "id": "OrML6oju4spK" }, @@ -134,18 +143,18 @@ "source": [ "# Geometry definitions\n", "\n", - "fuel_or = openmc.ZCylinder(surface_id=1, r=0.943/2) \n", - "clad_ir = openmc.ZCylinder(surface_id=2, r=0.973/2) \n", - "clad_or = openmc.ZCylinder(surface_id=3, r=1.073/2) \n", + "fuel_or = openmc.ZCylinder(surface_id=1, r=0.943/2)\n", + "clad_ir = openmc.ZCylinder(surface_id=2, r=0.973/2)\n", + "clad_or = openmc.ZCylinder(surface_id=3, r=1.073/2)\n", "\n", "top = openmc.ZPlane(surface_id=4, z0=+50, boundary_type='vacuum')\n", - "bottom = openmc.ZPlane(surface_id=5, z0=-50, boundary_type='vacuum') \n", + "bottom = openmc.ZPlane(surface_id=5, z0=-50, boundary_type='vacuum')\n", "\n", "fuel_region = -fuel_or & -top & +bottom\n", "gap_region = +fuel_or & -clad_ir & -top & +bottom\n", "clad_region = +clad_ir & -clad_or & -top & +bottom\n", "moderator_region = +clad_or & -top & +bottom\n", - " \n", + "\n", "gap_cell = openmc.Cell(cell_id=1, fill=inner, region=gap_region)\n", "clad_cell = openmc.Cell(cell_id=2, fill=clad, region=clad_region)\n", "sodium_cell = openmc.Cell(cell_id=3, fill=sodium, region=moderator_region)" @@ -153,7 +162,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": { "id": "8L0zqqhZfxKh" }, @@ -165,7 +174,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "metadata": { "id": "iAHLhKZYh6y5" }, @@ -177,7 +186,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -189,7 +198,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": { "id": "cWTxCkwKRwYj" }, @@ -198,7 +207,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/miriamrathbun/codes/openmc-mak/openmc/mixin.py:68: IDWarning: Another Lattice instance already exists with id=1.\n", + "/home/aparler/.conda/envs/openmc-env/lib/python3.11/site-packages/openmc/mixin.py:70: IDWarning: Another Lattice instance already exists with id=1.\n", " warn(msg, IDWarning)\n" ] } @@ -232,35 +241,33 @@ "# Fill a cell with a material that will surround the lattice\n", "out_in_assembly = openmc.Cell(cell_id=8, fill=sodium, region=~outer_in_surface & -top & +bottom)\n", "\n", - "# Create a universe that contains both \n", + "# Create a universe that contains both\n", "main_in_u = openmc.Universe(universe_id=4, cells=[main_in_assembly, out_in_assembly])" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 11, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -270,7 +277,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": { "id": "1SIgRmjLTuPJ" }, @@ -279,7 +286,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/miriamrathbun/codes/openmc-mak/openmc/mixin.py:68: IDWarning: Another Lattice instance already exists with id=2.\n", + "/home/aparler/.conda/envs/openmc-env/lib/python3.11/site-packages/openmc/mixin.py:70: IDWarning: Another Lattice instance already exists with id=2.\n", " warn(msg, IDWarning)\n" ] } @@ -313,13 +320,13 @@ "# Fill a cell with a material that will surround the lattice\n", "out_out_assembly = openmc.Cell(cell_id=10, fill=sodium, region=~outer_out_surface & -top & +bottom)\n", "\n", - "# Create a universe that contains both \n", + "# Create a universe that contains both\n", "main_out_u = openmc.Universe(universe_id=5, cells=[main_out_assembly, out_out_assembly])" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -347,7 +354,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "metadata": { "id": "6lDqg4lLWD7v" }, @@ -356,7 +363,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/miriamrathbun/codes/openmc-mak/openmc/mixin.py:68: IDWarning: Another Lattice instance already exists with id=3.\n", + "/home/aparler/.conda/envs/openmc-env/lib/python3.11/site-packages/openmc/mixin.py:70: IDWarning: Another Lattice instance already exists with id=3.\n", " warn(msg, IDWarning)\n" ] } @@ -372,7 +379,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "metadata": { "id": "M1FcPGAbjH3J" }, @@ -401,7 +408,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -422,35 +429,33 @@ "# Fill a cell with a material that will surround the lattice\n", "out_core = openmc.Cell(cell_id=14, fill=outer, region=~outer_core_surface & -top & +bottom)\n", "\n", - "# Create a universe that contains both \n", - "main_u = openmc.Universe(universe_id=7, cells=[core, out_core]) " + "# Create a universe that contains both\n", + "main_u = openmc.Universe(universe_id=7, cells=[core, out_core])" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 20, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ - "
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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -505,7 +510,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 19, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -543,180 +548,170 @@ " ######## %%%%%%%%%%%%%%\n", " %%%%%%%%%%%\n", "\n", - " | The OpenMC Monte Carlo Code\n", - " Copyright | 2011-2020 MIT and OpenMC contributors\n", - " License | https://docs.openmc.org/en/latest/license.html\n", - " Version | 0.12.1-dev\n", - " Git SHA1 | 0228ddba1d6399e654a295e51539590f076b2a3c\n", - " Date/Time | 2021-02-22 22:22:08\n", - " OpenMP Threads | 8\n", + " | The OpenMC Monte Carlo Code\n", + " Copyright | 2011-2023 MIT, UChicago Argonne LLC, and contributors\n", + " License | https://docs.openmc.org/en/latest/license.html\n", + " Version | 0.13.3\n", + " Git SHA1 | 50e39a4e20dc9e0f3d7ccf07333f6a5e6c797c8c\n", + " Date/Time | 2023-10-31 23:03:13\n", + " OpenMP Threads | 4\n", "\n", " Reading settings XML file...\n", " Reading cross sections XML file...\n", " Reading materials XML file...\n", " Reading geometry XML file...\n", - " Reading Na23 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Na23.h5\n", - " Reading U235 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/U235.h5\n", - " Reading U238 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/U238.h5\n", - " Reading Pu239 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Pu239.h5\n", - " Reading Pu240 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Pu240.h5\n", - " Reading Pu241 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Pu241.h5\n", - " Reading Pu242 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Pu242.h5\n", - " Reading Am241 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Am241.h5\n", - " Reading O16 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/O16.h5\n", - " Reading Cu63 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Cu63.h5\n", - " Reading O17 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/O17.h5\n", - " Reading Al27 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Al27.h5\n", - " Minimum neutron data temperature: 294.0 K\n", - " Maximum neutron data temperature: 294.0 K\n", + " Reading Na23 from /opt/xdata/endfb-vii.1-hdf5/neutron/Na23.h5\n", + " Reading U235 from /opt/xdata/endfb-vii.1-hdf5/neutron/U235.h5\n", + " Reading U238 from /opt/xdata/endfb-vii.1-hdf5/neutron/U238.h5\n", + " Reading Pu238 from /opt/xdata/endfb-vii.1-hdf5/neutron/Pu238.h5\n", + " Reading Pu239 from /opt/xdata/endfb-vii.1-hdf5/neutron/Pu239.h5\n", + " Reading Pu240 from /opt/xdata/endfb-vii.1-hdf5/neutron/Pu240.h5\n", + " Reading Pu241 from /opt/xdata/endfb-vii.1-hdf5/neutron/Pu241.h5\n", + " Reading Pu242 from /opt/xdata/endfb-vii.1-hdf5/neutron/Pu242.h5\n", + " Reading Am241 from /opt/xdata/endfb-vii.1-hdf5/neutron/Am241.h5\n", + " Reading O16 from /opt/xdata/endfb-vii.1-hdf5/neutron/O16.h5\n", + " Reading Cu63 from /opt/xdata/endfb-vii.1-hdf5/neutron/Cu63.h5\n", + " Reading O17 from /opt/xdata/endfb-vii.1-hdf5/neutron/O17.h5\n", + " Reading Al27 from /opt/xdata/endfb-vii.1-hdf5/neutron/Al27.h5\n", + " Minimum neutron data temperature: 294 K\n", + " Maximum neutron data temperature: 294 K\n", " Preparing distributed cell instances...\n", + " Reading plot XML file...\n", " Writing summary.h5 file...\n", - " Maximum neutron transport energy: 20000000.0 eV for Na23\n", + " Maximum neutron transport energy: 20000000 eV for Na23\n", " Initializing source particles...\n", "\n", " ====================> K EIGENVALUE SIMULATION <====================\n", "\n", " Bat./Gen. k Average k\n", " ========= ======== ====================\n", - " 1/1 1.02481\n", - " 2/1 1.12641\n", - " 3/1 1.19114\n", - " 4/1 1.14944\n", - " 5/1 1.24417\n", - " 6/1 1.18112\n", - " 7/1 1.22681\n", - " 8/1 1.25324\n", - " 9/1 1.26160\n", - " 10/1 1.24391\n", - " 11/1 1.26299\n", - " 12/1 1.22630 1.24465 +/- 0.01834\n", - " 13/1 1.22617 1.23849 +/- 0.01225\n", - " 14/1 1.17487 1.22258 +/- 0.01811\n", - " 15/1 1.23711 1.22549 +/- 0.01433\n", - " 16/1 1.25744 1.23081 +/- 0.01285\n", - " 17/1 1.19600 1.22584 +/- 0.01195\n", - " 18/1 1.22848 1.22617 +/- 0.01035\n", - " 19/1 1.24147 1.22787 +/- 0.00929\n", - " 20/1 1.23635 1.22872 +/- 0.00835\n", - " 21/1 1.22312 1.22821 +/- 0.00757\n", - " 22/1 1.22163 1.22766 +/- 0.00693\n", - " 23/1 1.21767 1.22689 +/- 0.00642\n", - " 24/1 1.16644 1.22257 +/- 0.00735\n", - " 25/1 1.19885 1.22099 +/- 0.00702\n", - " 26/1 1.21883 1.22086 +/- 0.00657\n", - " 27/1 1.24819 1.22246 +/- 0.00638\n", - " 28/1 1.26476 1.22481 +/- 0.00645\n", - " 29/1 1.21935 1.22453 +/- 0.00611\n", - " 30/1 1.23808 1.22520 +/- 0.00584\n", - " 31/1 1.16740 1.22245 +/- 0.00620\n", - " 32/1 1.21038 1.22190 +/- 0.00593\n", - " 33/1 1.20477 1.22116 +/- 0.00572\n", - " 34/1 1.26182 1.22285 +/- 0.00573\n", - " 35/1 1.22385 1.22289 +/- 0.00550\n", - " 36/1 1.30378 1.22600 +/- 0.00613\n", - " 37/1 1.26827 1.22757 +/- 0.00610\n", - " 38/1 1.27147 1.22914 +/- 0.00609\n", - " 39/1 1.23282 1.22926 +/- 0.00587\n", - " 40/1 1.25327 1.23006 +/- 0.00573\n", - " 41/1 1.19087 1.22880 +/- 0.00569\n", - " 42/1 1.28910 1.23068 +/- 0.00582\n", - " 43/1 1.23440 1.23080 +/- 0.00564\n", - " 44/1 1.22528 1.23063 +/- 0.00547\n", - " 45/1 1.25779 1.23141 +/- 0.00537\n", - " 46/1 1.26413 1.23232 +/- 0.00530\n", - " 47/1 1.27685 1.23352 +/- 0.00529\n", - " 48/1 1.27599 1.23464 +/- 0.00527\n", - " 49/1 1.28307 1.23588 +/- 0.00528\n", - " 50/1 1.26215 1.23654 +/- 0.00519\n", - " 51/1 1.22880 1.23635 +/- 0.00507\n", - " 52/1 1.22389 1.23605 +/- 0.00495\n", - " 53/1 1.23361 1.23600 +/- 0.00484\n", - " 54/1 1.22966 1.23585 +/- 0.00473\n", - " 55/1 1.22266 1.23556 +/- 0.00463\n", - " 56/1 1.25986 1.23609 +/- 0.00456\n", - " 57/1 1.31764 1.23782 +/- 0.00479\n", - " 58/1 1.29656 1.23905 +/- 0.00484\n", - " 59/1 1.25418 1.23936 +/- 0.00475\n", - " 60/1 1.21933 1.23896 +/- 0.00467\n", - " 61/1 1.23886 1.23895 +/- 0.00458\n", - " 62/1 1.22153 1.23862 +/- 0.00451\n", - " 63/1 1.25440 1.23892 +/- 0.00443\n", - " 64/1 1.23758 1.23889 +/- 0.00435\n", - " 65/1 1.29599 1.23993 +/- 0.00439\n", - " 66/1 1.25912 1.24027 +/- 0.00433\n", - " 67/1 1.25699 1.24057 +/- 0.00426\n", - " 68/1 1.21444 1.24011 +/- 0.00421\n", - " 69/1 1.25080 1.24030 +/- 0.00414\n", - " 70/1 1.30284 1.24134 +/- 0.00420\n", - " 71/1 1.26208 1.24168 +/- 0.00415\n", - " 72/1 1.25869 1.24195 +/- 0.00409\n", - " 73/1 1.24739 1.24204 +/- 0.00403\n", - " 74/1 1.25263 1.24220 +/- 0.00397\n", - " 75/1 1.22410 1.24193 +/- 0.00391\n", - " 76/1 1.29268 1.24269 +/- 0.00393\n", - " 77/1 1.22569 1.24244 +/- 0.00388\n", - " 78/1 1.28431 1.24306 +/- 0.00387\n", - " 79/1 1.22645 1.24282 +/- 0.00382\n", - " 80/1 1.24248 1.24281 +/- 0.00377\n", - " 81/1 1.22740 1.24259 +/- 0.00372\n", - " 82/1 1.29676 1.24335 +/- 0.00374\n", - " 83/1 1.26406 1.24363 +/- 0.00370\n", - " 84/1 1.18714 1.24287 +/- 0.00373\n", - " 85/1 1.24634 1.24291 +/- 0.00368\n", - " 86/1 1.25176 1.24303 +/- 0.00364\n", - " 87/1 1.30837 1.24388 +/- 0.00369\n", - " 88/1 1.24285 1.24386 +/- 0.00364\n", - " 89/1 1.22941 1.24368 +/- 0.00360\n", - " 90/1 1.18066 1.24289 +/- 0.00364\n", - " 91/1 1.28586 1.24342 +/- 0.00363\n", - " 92/1 1.26556 1.24369 +/- 0.00360\n", - " 93/1 1.22569 1.24348 +/- 0.00356\n", - " 94/1 1.20319 1.24300 +/- 0.00355\n", - " 95/1 1.27998 1.24343 +/- 0.00354\n", - " 96/1 1.20130 1.24294 +/- 0.00353\n", - " 97/1 1.24200 1.24293 +/- 0.00349\n", - " 98/1 1.27352 1.24328 +/- 0.00347\n", - " 99/1 1.30545 1.24398 +/- 0.00350\n", - " 100/1 1.31981 1.24482 +/- 0.00356\n", + " 1/1 1.04699\n", + " 2/1 1.12523\n", + " 3/1 1.17382\n", + " 4/1 1.16683\n", + " 5/1 1.18119\n", + " 6/1 1.13185\n", + " 7/1 1.24435\n", + " 8/1 1.23315\n", + " 9/1 1.24378\n", + " 10/1 1.20888\n", + " 11/1 1.22414\n", + " 12/1 1.32255 1.27335 +/- 0.04921\n", + " 13/1 1.24438 1.26369 +/- 0.03000\n", + " 14/1 1.25849 1.26239 +/- 0.02126\n", + " 15/1 1.28094 1.26610 +/- 0.01688\n", + " 16/1 1.28031 1.26847 +/- 0.01398\n", + " 17/1 1.23444 1.26361 +/- 0.01278\n", + " 18/1 1.29480 1.26751 +/- 0.01173\n", + " 19/1 1.26095 1.26678 +/- 0.01037\n", + " 20/1 1.26231 1.26633 +/- 0.00929\n", + " 21/1 1.26926 1.26660 +/- 0.00841\n", + " 22/1 1.20316 1.26131 +/- 0.00932\n", + " 23/1 1.22121 1.25823 +/- 0.00911\n", + " 24/1 1.20218 1.25423 +/- 0.00934\n", + " 25/1 1.22391 1.25220 +/- 0.00892\n", + " 26/1 1.25396 1.25231 +/- 0.00835\n", + " 27/1 1.28043 1.25397 +/- 0.00801\n", + " 28/1 1.22878 1.25257 +/- 0.00768\n", + " 29/1 1.22032 1.25087 +/- 0.00746\n", + " 30/1 1.24110 1.25038 +/- 0.00710\n", + " 31/1 1.29465 1.25249 +/- 0.00707\n", + " 32/1 1.28911 1.25416 +/- 0.00695\n", + " 33/1 1.24766 1.25387 +/- 0.00664\n", + " 34/1 1.26931 1.25452 +/- 0.00639\n", + " 35/1 1.23518 1.25374 +/- 0.00618\n", + " 36/1 1.22691 1.25271 +/- 0.00603\n", + " 37/1 1.27089 1.25338 +/- 0.00584\n", + " 38/1 1.26381 1.25376 +/- 0.00564\n", + " 39/1 1.26946 1.25430 +/- 0.00547\n", + " 40/1 1.29565 1.25568 +/- 0.00546\n", + " 41/1 1.30199 1.25717 +/- 0.00549\n", + " 42/1 1.29832 1.25846 +/- 0.00547\n", + " 43/1 1.30429 1.25985 +/- 0.00548\n", + " 44/1 1.23412 1.25909 +/- 0.00537\n", + " 45/1 1.19238 1.25718 +/- 0.00555\n", + " 46/1 1.26488 1.25740 +/- 0.00540\n", + " 47/1 1.20769 1.25605 +/- 0.00542\n", + " 48/1 1.27040 1.25643 +/- 0.00529\n", + " 49/1 1.26829 1.25673 +/- 0.00516\n", + " 50/1 1.26095 1.25684 +/- 0.00503\n", + " 51/1 1.26016 1.25692 +/- 0.00491\n", + " 52/1 1.29856 1.25791 +/- 0.00489\n", + " 53/1 1.22021 1.25704 +/- 0.00485\n", + " 54/1 1.24146 1.25668 +/- 0.00476\n", + " 55/1 1.31027 1.25787 +/- 0.00480\n", + " 56/1 1.33790 1.25961 +/- 0.00501\n", + " 57/1 1.32021 1.26090 +/- 0.00506\n", + " 58/1 1.27750 1.26125 +/- 0.00497\n", + " 59/1 1.25761 1.26117 +/- 0.00487\n", + " 60/1 1.22570 1.26046 +/- 0.00482\n", + " 61/1 1.19148 1.25911 +/- 0.00492\n", + " 62/1 1.22782 1.25851 +/- 0.00486\n", + " 63/1 1.28075 1.25893 +/- 0.00478\n", + " 64/1 1.26974 1.25913 +/- 0.00470\n", + " 65/1 1.24164 1.25881 +/- 0.00462\n", + " 66/1 1.21168 1.25797 +/- 0.00462\n", + " 67/1 1.34108 1.25943 +/- 0.00476\n", + " 68/1 1.28362 1.25984 +/- 0.00470\n", + " 69/1 1.24096 1.25952 +/- 0.00463\n", + " 70/1 1.19983 1.25853 +/- 0.00466\n", + " 71/1 1.19210 1.25744 +/- 0.00471\n", + " 72/1 1.29086 1.25798 +/- 0.00467\n", + " 73/1 1.22653 1.25748 +/- 0.00462\n", + " 74/1 1.28594 1.25793 +/- 0.00457\n", + " 75/1 1.26671 1.25806 +/- 0.00450\n", + " 76/1 1.22778 1.25760 +/- 0.00445\n", + " 77/1 1.29830 1.25821 +/- 0.00443\n", + " 78/1 1.26676 1.25833 +/- 0.00436\n", + " 79/1 1.34382 1.25957 +/- 0.00448\n", + " 80/1 1.34639 1.26081 +/- 0.00458\n", + " 81/1 1.24390 1.26058 +/- 0.00452\n", + " 82/1 1.23100 1.26016 +/- 0.00448\n", + " 83/1 1.25639 1.26011 +/- 0.00442\n", + " 84/1 1.27107 1.26026 +/- 0.00436\n", + " 85/1 1.23460 1.25992 +/- 0.00432\n", + " 86/1 1.25413 1.25984 +/- 0.00426\n", + " 87/1 1.26993 1.25997 +/- 0.00421\n", + " 88/1 1.30799 1.26059 +/- 0.00420\n", + " 89/1 1.29570 1.26103 +/- 0.00417\n", + " 90/1 1.23098 1.26066 +/- 0.00413\n", + " 91/1 1.24434 1.26046 +/- 0.00408\n", + " 92/1 1.21353 1.25988 +/- 0.00408\n", + " 93/1 1.23516 1.25959 +/- 0.00404\n", + " 94/1 1.26028 1.25959 +/- 0.00399\n", + " 95/1 1.24533 1.25943 +/- 0.00394\n", + " 96/1 1.24886 1.25930 +/- 0.00390\n", + " 97/1 1.22476 1.25891 +/- 0.00388\n", + " 98/1 1.24816 1.25878 +/- 0.00383\n", + " 99/1 1.29129 1.25915 +/- 0.00381\n", + " 100/1 1.18933 1.25837 +/- 0.00384\n", " Creating state point statepoint.100.h5...\n", "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", - " Total time for initialization = 2.3018e+00 seconds\n", - " Reading cross sections = 2.2651e+00 seconds\n", - " Total time in simulation = 1.0711e+00 seconds\n", - " Time in transport only = 1.0512e+00 seconds\n", - " Time in inactive batches = 9.2840e-02 seconds\n", - " Time in active batches = 9.7826e-01 seconds\n", - " Time synchronizing fission bank = 4.0280e-03 seconds\n", - " Sampling source sites = 3.3290e-03 seconds\n", - " SEND/RECV source sites = 5.3600e-04 seconds\n", - " Time accumulating tallies = 2.5000e-05 seconds\n", - " Time writing statepoints = 8.3760e-03 seconds\n", - " Total time for finalization = 7.0000e-06 seconds\n", - " Total time elapsed = 3.3798e+00 seconds\n", - " Calculation Rate (inactive) = 107712.0 particles/second\n", - " Calculation Rate (active) = 92000.4 particles/second\n", + " Total time for initialization = 1.3231e+00 seconds\n", + " Reading cross sections = 1.2915e+00 seconds\n", + " Total time in simulation = 1.9764e+00 seconds\n", + " Time in transport only = 1.9524e+00 seconds\n", + " Time in inactive batches = 1.8251e-01 seconds\n", + " Time in active batches = 1.7939e+00 seconds\n", + " Time synchronizing fission bank = 8.0367e-03 seconds\n", + " Sampling source sites = 7.1113e-03 seconds\n", + " SEND/RECV source sites = 8.7842e-04 seconds\n", + " Time accumulating tallies = 4.3793e-05 seconds\n", + " Time writing statepoints = 3.8865e-03 seconds\n", + " Total time for finalization = 5.4700e-07 seconds\n", + " Total time elapsed = 3.3079e+00 seconds\n", + " Calculation Rate (inactive) = 54792.6 particles/second\n", + " Calculation Rate (active) = 50169.6 particles/second\n", "\n", " ============================> RESULTS <============================\n", "\n", - " k-effective (Collision) = 1.24514 +/- 0.00362\n", - " k-effective (Track-length) = 1.24482 +/- 0.00356\n", - " k-effective (Absorption) = 1.24692 +/- 0.00415\n", - " Combined k-effective = 1.24588 +/- 0.00254\n", - " Leakage Fraction = 0.11453 +/- 0.00147\n", + " k-effective (Collision) = 1.26011 +/- 0.00343\n", + " k-effective (Track-length) = 1.25837 +/- 0.00384\n", + " k-effective (Absorption) = 1.26192 +/- 0.00372\n", + " Combined k-effective = 1.26163 +/- 0.00219\n", + " Leakage Fraction = 0.11733 +/- 0.00149\n", "\n" ] } @@ -733,7 +728,7 @@ "provenance": [] }, "kernelspec": { - "display_name": "Python 3", + "display_name": "openmc-env", "language": "python", "name": "python3" }, @@ -747,7 +742,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.0" + "version": "3.11.6" } }, "nbformat": 4, diff --git a/TRIGA/TRIGA.ipynb b/TRIGA/TRIGA.ipynb index 20ad616..1e875ac 100644 --- a/TRIGA/TRIGA.ipynb +++ b/TRIGA/TRIGA.ipynb @@ -16,12 +16,21 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 1, "metadata": { "id": "EChOeJ7qVUB7" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "env: OPENMC_CROSS_SECTIONS=/opt/xdata/endfb-vii.1-hdf5/cross_sections.xml\n" + ] + } + ], "source": [ + "%env OPENMC_CROSS_SECTIONS /opt/xdata/endfb-vii.1-hdf5/cross_sections.xml\n", "%matplotlib inline\n", "import numpy as np\n", "import openmc" @@ -29,7 +38,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": { "id": "jlu98MGXV9MP" }, @@ -104,7 +113,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": { "id": "6lDqg4lLWD7v" }, @@ -174,7 +183,7 @@ "# Create upper ss304 cell\n", "ss304_upper_cell = openmc.Cell(name='Upper Stainless Steel 304')\n", "ss304_upper_cell.fill = ss304\n", - "ss304_upper_cell.region = -ss304_outer_radius & +ss304_upper_min & -ss304_upper_max \n", + "ss304_upper_cell.region = -ss304_outer_radius & +ss304_upper_min & -ss304_upper_max\n", "fuel_universe.add_cell(ss304_upper_cell)\n", "\n", "# Create lower ss304 cell\n", @@ -198,7 +207,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": { "id": "osv05TS3yNUT" }, @@ -242,13 +251,13 @@ "# Create void 2 cell\n", "void_2_cell = openmc.Cell(name= 'Void 2')\n", "void_2_cell.fill = void\n", - "void_2_cell.region = -void_outer_radius & +void_2_min & -void_2_max \n", + "void_2_cell.region = -void_outer_radius & +void_2_min & -void_2_max\n", "transient_universe.add_cell(void_2_cell)\n", "\n", "# Create void 3 cell\n", "void_3_cell = openmc.Cell(name= 'Void 3')\n", "void_3_cell.fill = void\n", - "void_3_cell.region = -void_outer_radius & +void_3_min & -void_3_max \n", + "void_3_cell.region = -void_outer_radius & +void_3_min & -void_3_max\n", "transient_universe.add_cell(void_3_cell)\n", "\n", "# Create b4c cell\n", @@ -260,7 +269,7 @@ "# Create aluminum 1 cell\n", "aluminum_1_cell = openmc.Cell(name='Aluminum')\n", "aluminum_1_cell.fill = aluminum\n", - "aluminum_1_cell.region = -aluminum_outer_radius & +aluminum_1_min & -aluminum_1_max \n", + "aluminum_1_cell.region = -aluminum_outer_radius & +aluminum_1_min & -aluminum_1_max\n", "transient_universe.add_cell(aluminum_1_cell)\n", "\n", "# Create aluminum 2 cell\n", @@ -272,7 +281,7 @@ "# Create aluminum 3 cell\n", "aluminum_3_cell = openmc.Cell(name='Aluminum')\n", "aluminum_3_cell.fill = aluminum\n", - "aluminum_3_cell.region = -aluminum_outer_radius & +aluminum_3_min & -aluminum_3_max \n", + "aluminum_3_cell.region = -aluminum_outer_radius & +aluminum_3_min & -aluminum_3_max\n", "transient_universe.add_cell(aluminum_3_cell)\n", "\n", "# Create aluminum 4 cell\n", @@ -284,13 +293,13 @@ "# Create a clad cell\n", "clad_cell = openmc.Cell(name='Aluminum Cladding')\n", "clad_cell.fill = aluminum\n", - "clad_cell.region = -clad_outer_radius & +b4c_outer_radius & +clad_min & -clad_max \n", + "clad_cell.region = -clad_outer_radius & +b4c_outer_radius & +clad_min & -clad_max\n", "transient_universe.add_cell(clad_cell)" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "metadata": { "id": "-0xO897aWbft" }, @@ -356,56 +365,56 @@ "# Create void 2 cell\n", "void_2_cell = openmc.Cell(name= 'Void 2')\n", "void_2_cell.fill = void\n", - "void_2_cell.region = -void_outer_radius & +void_2_min & -void_2_max \n", + "void_2_cell.region = -void_outer_radius & +void_2_min & -void_2_max\n", "control_universe.add_cell(void_2_cell)\n", "\n", "# Create void 3 cell\n", "void_3_cell = openmc.Cell(name= 'Void 3')\n", "void_3_cell.fill = void\n", - "void_3_cell.region = -void_outer_radius & +void_3_min & -void_3_max \n", + "void_3_cell.region = -void_outer_radius & +void_3_min & -void_3_max\n", "control_universe.add_cell(void_3_cell)\n", "\n", "# Create void 4 cell\n", "void_4_cell = openmc.Cell(name= 'Void 3')\n", "void_4_cell.fill = void\n", - "void_4_cell.region = -void_outer_radius & +void_4_min & -void_4_max \n", + "void_4_cell.region = -void_outer_radius & +void_4_min & -void_4_max\n", "control_universe.add_cell(void_4_cell)\n", "\n", "# Create ss304 1 cell\n", "ss304_1_cell = openmc.Cell(name='Stainless Steel 304 Cell 1')\n", "ss304_1_cell.fill = ss304\n", - "ss304_1_cell.region = -ss304_outer_radius & +ss304_1_min & -ss304_1_max \n", + "ss304_1_cell.region = -ss304_outer_radius & +ss304_1_min & -ss304_1_max\n", "control_universe.add_cell(ss304_1_cell)\n", "\n", "# Create ss304 2 cell\n", "ss304_2_cell = openmc.Cell(name='Stainless Steel 304 Cell 2')\n", "ss304_2_cell.fill = ss304\n", - "ss304_2_cell.region = -ss304_outer_radius & +ss304_2_min & -ss304_2_max \n", + "ss304_2_cell.region = -ss304_outer_radius & +ss304_2_min & -ss304_2_max\n", "control_universe.add_cell(ss304_2_cell)\n", "\n", "# Create ss304 3 cell\n", "ss304_3_cell = openmc.Cell(name='Stainless Steel 304 Cell 3')\n", "ss304_3_cell.fill = ss304\n", - "ss304_3_cell.region = -ss304_outer_radius & +ss304_3_min & -ss304_3_max \n", + "ss304_3_cell.region = -ss304_outer_radius & +ss304_3_min & -ss304_3_max\n", "control_universe.add_cell(ss304_3_cell)\n", "\n", "# Create ss304 4 cell\n", "ss304_4_cell = openmc.Cell(name='Stainless Steel 304 Cell 4')\n", "ss304_4_cell.fill = ss304\n", - "ss304_4_cell.region = -ss304_outer_radius & +ss304_4_min & -ss304_4_max \n", + "ss304_4_cell.region = -ss304_outer_radius & +ss304_4_min & -ss304_4_max\n", "control_universe.add_cell(ss304_4_cell)\n", "\n", "# Create ss304 5 cell\n", "ss304_5_cell = openmc.Cell(name='Stainless Steel 304 Cell 5')\n", "ss304_5_cell.fill = ss304\n", - "ss304_5_cell.region = -ss304_outer_radius & +ss304_5_min & -ss304_5_max \n", + "ss304_5_cell.region = -ss304_outer_radius & +ss304_5_min & -ss304_5_max\n", "control_universe.add_cell(ss304_5_cell)\n", "\n", "# Create b4c 1 cell\n", "b4c_1_cell = openmc.Cell(name='B4C cell')\n", "b4c_1_cell.fill = b4c\n", "b4c_1_cell.region = -b4c_outer_radius & +b4c_1_min & -b4c_1_max\n", - "control_universe.add_cell(b4c_1_cell) \n", + "control_universe.add_cell(b4c_1_cell)\n", "\n", "# Create a clad Cell\n", "clad_cell = openmc.Cell(name='Stainless Steel 304 Cladding')\n", @@ -416,7 +425,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "metadata": { "id": "8h9JMENTw9P3" }, @@ -430,7 +439,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 7, "metadata": { "id": "q-VaKsxT8v3b" }, @@ -456,7 +465,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 8, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -469,23 +478,21 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 12, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -499,7 +506,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 9, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -523,7 +530,7 @@ } ], "source": [ - "# Arrange the pins in the circular lattice \n", + "# Arrange the pins in the circular lattice\n", "\n", "num_pins = [1, 6, 12, 18, 24, 30]\n", "angles = [0, 0, 0, 0, 0, 0]\n", @@ -538,21 +545,21 @@ " 'howLeftFrom3oclock':[1 , 8]}\n", "\n", "def ControlRod(controlRods,n,j):\n", - " for irod in range(len(controlRods['numPins'])): \n", + " for irod in range(len(controlRods['numPins'])):\n", " if n == controlRods['numPins'][irod] and \\\n", " j-1 == controlRods['howLeftFrom3oclock'][irod]:\n", " return True\n", " return False\n", "\n", "def TransientRod(transientRods,n,j):\n", - " for irod in range(len(transientRods['numPins'])): \n", + " for irod in range(len(transientRods['numPins'])):\n", " if n == transientRods['numPins'][irod] and \\\n", " j-1 == transientRods['howLeftFrom3oclock'][irod]:\n", " return True\n", " return False\n", "\n", "def WaterRod(waterRods,n,j):\n", - " for irod in range(len(waterRods['numPins'])): \n", + " for irod in range(len(waterRods['numPins'])):\n", " if n == waterRods['numPins'][irod] and \\\n", " j-1 == waterRods['howLeftFrom3oclock'][irod]:\n", " return True\n", @@ -560,18 +567,18 @@ "\n", "\n", "for i, (r, n, a) in enumerate(zip(ring_radii, num_pins, angles)):\n", - " \n", + "\n", " for j in range(n):\n", - " \n", + "\n", " # Determine location of center of pin\n", " theta = (a + j/n*360.) * np.pi/180.\n", " x = r*np.cos(theta)\n", " y = r*np.sin(theta)\n", - " \n", + "\n", " pin_boundary = openmc.ZCylinder(x0=x, y0=y, r=clad_outer_radius.r)\n", " water_cells[i].region &= +pin_boundary\n", - " \n", - " # Create each fuel pin -- note that we explicitly assign an ID so \n", + "\n", + " # Create each fuel pin -- note that we explicitly assign an ID so\n", " # that we can identify the pin later when looking at tallies\n", " if ControlRod(controlRods,n,j):\n", " print('Adding in a control rod...')\n", @@ -591,7 +598,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 10, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -604,30 +611,28 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 14, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the rings to visualize the filled circular lattice\n", "\n", - "bundle_universe.plot(width=(100, 100), origin=[0,0,-40], \n", + "bundle_universe.plot(width=(100, 100), origin=[0,0,-40],\n", " basis='xy', color_by='material',\n", " colors={water:'blue',uzrh:'orange',\n", " zirconium:'green',graphite:'gray',\n", @@ -636,7 +641,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 11, "metadata": { "id": "XTzZHTnr0fO7" }, @@ -644,23 +649,21 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 15, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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+ "image/png": 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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -767,7 +764,7 @@ "reactor.fill = bundle_universe\n", "reactor_universe = openmc.Universe(cells=[reactor])\n", "\n", - "reactor_universe.plot(width=(100, 100), origin=[0,0,-40], \n", + "reactor_universe.plot(width=(100, 100), origin=[0,0,-40],\n", " basis='yz', color_by='material',\n", " colors={water:'blue',uzrh:'orange',\n", " zirconium:'green',graphite:'gray',\n", @@ -779,7 +776,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 15, "metadata": { "cellView": "code", "id": "5mPhUg7QWVw4" @@ -806,7 +803,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 16, "metadata": { "id": "A_f292ebWZFM" }, @@ -839,273 +836,213 @@ " ######## %%%%%%%%%%%%%%\n", " %%%%%%%%%%%\n", "\n", - " | The OpenMC Monte Carlo Code\n", - " Copyright | 2011-2020 MIT and OpenMC contributors\n", - " License | https://docs.openmc.org/en/latest/license.html\n", - " Version | 0.12.1-dev\n", - " Git SHA1 | 0228ddba1d6399e654a295e51539590f076b2a3c\n", - " Date/Time | 2021-04-12 10:00:55\n", - " OpenMP Threads | 8\n", + " | The OpenMC Monte Carlo Code\n", + " Copyright | 2011-2023 MIT, UChicago Argonne LLC, and contributors\n", + " License | https://docs.openmc.org/en/latest/license.html\n", + " Version | 0.13.3\n", + " Git SHA1 | 50e39a4e20dc9e0f3d7ccf07333f6a5e6c797c8c\n", + " Date/Time | 2023-10-31 23:01:37\n", + " OpenMP Threads | 4\n", "\n", " Reading settings XML file...\n", " Reading cross sections XML file...\n", " Reading materials XML file...\n", " Reading geometry XML file...\n", - " Reading H1 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/H1.h5\n", - " Reading O16 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/O16.h5\n", - " Reading B10 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/B10.h5\n", - " Reading U235 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/U235.h5\n", - " Reading U238 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/U238.h5\n", - " Reading H2 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/H2.h5\n", - " Reading Zr90 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Zr90.h5\n", - " Reading Zr91 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Zr91.h5\n", - " Reading Zr92 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Zr92.h5\n", - " Reading Zr94 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Zr94.h5\n", - " Reading Zr96 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Zr96.h5\n", - " Reading Mo100 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Mo100.h5\n", - " Reading Mo92 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Mo92.h5\n", - " Reading Mo94 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Mo94.h5\n", - " Reading Mo95 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Mo95.h5\n", - " Reading Mo96 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Mo96.h5\n", - " Reading Mo97 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Mo97.h5\n", - " Reading Mo98 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Mo98.h5\n", - " Reading C0 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/C0.h5\n", - " Reading Si28 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Si28.h5\n", - " Reading Si29 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Si29.h5\n", - " Reading Si30 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Si30.h5\n", - " Reading P31 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/P31.h5\n", - " Reading S32 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/S32.h5\n", - " Reading S33 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/S33.h5\n", - " Reading S34 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/S34.h5\n", - " Reading S36 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/S36.h5\n", - " Reading V50 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/V50.h5\n", - " Reading V51 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/V51.h5\n", - " Reading Cr50 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Cr50.h5\n", - " Reading Cr52 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Cr52.h5\n", - " Reading Cr53 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Cr53.h5\n", - " Reading Cr54 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Cr54.h5\n", - " Reading Mn55 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Mn55.h5\n", - " Reading Fe54 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Fe54.h5\n", - " Reading Fe56 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Fe56.h5\n", - " Reading Fe57 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Fe57.h5\n", - " Reading Fe58 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Fe58.h5\n", - " Reading Ni58 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Ni58.h5\n", - " Reading Ni60 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Ni60.h5\n", - " Reading Ni61 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Ni61.h5\n", - " Reading Ni62 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Ni62.h5\n", - " Reading Ni64 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Ni64.h5\n", - " Reading W180 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/W180.h5\n", - " Reading W182 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/W182.h5\n", - " Reading W183 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/W183.h5\n", - " Reading W184 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/W184.h5\n", - " Reading W186 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/W186.h5\n", - " Reading B11 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/B11.h5\n", - " Reading O17 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/O17.h5\n", - " Reading Ar36 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Ar36.h5\n", + " Reading H1 from /opt/xdata/endfb-vii.1-hdf5/neutron/H1.h5\n", + " Reading O16 from /opt/xdata/endfb-vii.1-hdf5/neutron/O16.h5\n", + " Reading B10 from /opt/xdata/endfb-vii.1-hdf5/neutron/B10.h5\n", + " Reading U235 from /opt/xdata/endfb-vii.1-hdf5/neutron/U235.h5\n", + " Reading U238 from /opt/xdata/endfb-vii.1-hdf5/neutron/U238.h5\n", + " Reading H2 from /opt/xdata/endfb-vii.1-hdf5/neutron/H2.h5\n", + " Reading Zr90 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr90.h5\n", + " Reading Zr91 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr91.h5\n", + " Reading Zr92 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr92.h5\n", + " Reading Zr94 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr94.h5\n", + " Reading Zr96 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr96.h5\n", + " Reading Mo92 from /opt/xdata/endfb-vii.1-hdf5/neutron/Mo92.h5\n", + " Reading Mo94 from /opt/xdata/endfb-vii.1-hdf5/neutron/Mo94.h5\n", + " Reading Mo95 from /opt/xdata/endfb-vii.1-hdf5/neutron/Mo95.h5\n", + " Reading Mo96 from /opt/xdata/endfb-vii.1-hdf5/neutron/Mo96.h5\n", + " Reading Mo97 from /opt/xdata/endfb-vii.1-hdf5/neutron/Mo97.h5\n", + " Reading Mo98 from /opt/xdata/endfb-vii.1-hdf5/neutron/Mo98.h5\n", + " Reading Mo100 from /opt/xdata/endfb-vii.1-hdf5/neutron/Mo100.h5\n", + " Reading C0 from /opt/xdata/endfb-vii.1-hdf5/neutron/C0.h5\n", + " Reading Si28 from /opt/xdata/endfb-vii.1-hdf5/neutron/Si28.h5\n", + " Reading Si29 from /opt/xdata/endfb-vii.1-hdf5/neutron/Si29.h5\n", + " Reading Si30 from /opt/xdata/endfb-vii.1-hdf5/neutron/Si30.h5\n", + " Reading P31 from /opt/xdata/endfb-vii.1-hdf5/neutron/P31.h5\n", + " Reading S32 from /opt/xdata/endfb-vii.1-hdf5/neutron/S32.h5\n", + " Reading S33 from /opt/xdata/endfb-vii.1-hdf5/neutron/S33.h5\n", + " Reading S34 from /opt/xdata/endfb-vii.1-hdf5/neutron/S34.h5\n", + " Reading S36 from /opt/xdata/endfb-vii.1-hdf5/neutron/S36.h5\n", + " Reading V50 from /opt/xdata/endfb-vii.1-hdf5/neutron/V50.h5\n", + " Reading V51 from /opt/xdata/endfb-vii.1-hdf5/neutron/V51.h5\n", + " Reading Cr50 from /opt/xdata/endfb-vii.1-hdf5/neutron/Cr50.h5\n", + " Reading Cr52 from /opt/xdata/endfb-vii.1-hdf5/neutron/Cr52.h5\n", + " Reading Cr53 from /opt/xdata/endfb-vii.1-hdf5/neutron/Cr53.h5\n", + " Reading Cr54 from /opt/xdata/endfb-vii.1-hdf5/neutron/Cr54.h5\n", + " Reading Mn55 from /opt/xdata/endfb-vii.1-hdf5/neutron/Mn55.h5\n", + " Reading Fe54 from /opt/xdata/endfb-vii.1-hdf5/neutron/Fe54.h5\n", + " Reading Fe56 from /opt/xdata/endfb-vii.1-hdf5/neutron/Fe56.h5\n", + " Reading Fe57 from /opt/xdata/endfb-vii.1-hdf5/neutron/Fe57.h5\n", + " Reading Fe58 from /opt/xdata/endfb-vii.1-hdf5/neutron/Fe58.h5\n", + " Reading Ni58 from /opt/xdata/endfb-vii.1-hdf5/neutron/Ni58.h5\n", + " Reading Ni60 from /opt/xdata/endfb-vii.1-hdf5/neutron/Ni60.h5\n", + " Reading Ni61 from /opt/xdata/endfb-vii.1-hdf5/neutron/Ni61.h5\n", + " Reading Ni62 from /opt/xdata/endfb-vii.1-hdf5/neutron/Ni62.h5\n", + " Reading Ni64 from /opt/xdata/endfb-vii.1-hdf5/neutron/Ni64.h5\n", + " Reading W180 from /opt/xdata/endfb-vii.1-hdf5/neutron/W180.h5\n", + " Reading W182 from /opt/xdata/endfb-vii.1-hdf5/neutron/W182.h5\n", + " Reading W183 from /opt/xdata/endfb-vii.1-hdf5/neutron/W183.h5\n", + " Reading W184 from /opt/xdata/endfb-vii.1-hdf5/neutron/W184.h5\n", + " Reading W186 from /opt/xdata/endfb-vii.1-hdf5/neutron/W186.h5\n", + " Reading B11 from /opt/xdata/endfb-vii.1-hdf5/neutron/B11.h5\n", + " Reading O17 from /opt/xdata/endfb-vii.1-hdf5/neutron/O17.h5\n", + " Reading Ar36 from /opt/xdata/endfb-vii.1-hdf5/neutron/Ar36.h5\n", " WARNING: Negative value(s) found on probability table for nuclide Ar36 at 294K\n", - " Reading Ar38 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Ar38.h5\n", - " Reading Ar40 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Ar40.h5\n", - " Reading Al27 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Al27.h5\n", - " Reading c_Graphite from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/c_Graphite.h5\n", - " Minimum neutron data temperature: 294.0 K\n", - " Maximum neutron data temperature: 294.0 K\n", + " Reading Ar38 from /opt/xdata/endfb-vii.1-hdf5/neutron/Ar38.h5\n", + " Reading Ar40 from /opt/xdata/endfb-vii.1-hdf5/neutron/Ar40.h5\n", + " Reading Al27 from /opt/xdata/endfb-vii.1-hdf5/neutron/Al27.h5\n", + " Reading c_Graphite from /opt/xdata/endfb-vii.1-hdf5/neutron/c_Graphite.h5\n", + " Minimum neutron data temperature: 294 K\n", + " Maximum neutron data temperature: 294 K\n", " Preparing distributed cell instances...\n", + " Reading plot XML file...\n", " Writing summary.h5 file...\n", - " Maximum neutron transport energy: 20000000.0 eV for H1\n", + " Maximum neutron transport energy: 20000000 eV for H1\n", " Initializing source particles...\n", "\n", " ====================> K EIGENVALUE SIMULATION <====================\n", "\n", " Bat./Gen. k Average k\n", " ========= ======== ====================\n", - " 1/1 1.10145\n", - " 2/1 1.11882\n", - " 3/1 1.14717\n", - " 4/1 1.17966\n", - " 5/1 1.15913\n", - " 6/1 1.20627\n", - " 7/1 1.18170\n", - " 8/1 1.18638\n", - " 9/1 1.17219\n", - " 10/1 1.18670\n", - " 11/1 1.16349\n", - " 12/1 1.20555 1.18452 +/- 0.02103\n", - " 13/1 1.13633 1.16845 +/- 0.02013\n", - " 14/1 1.17646 1.17046 +/- 0.01438\n", - " 15/1 1.16547 1.16946 +/- 0.01118\n", - " 16/1 1.19266 1.17333 +/- 0.00991\n", - " 17/1 1.16401 1.17199 +/- 0.00848\n", - " 18/1 1.18430 1.17353 +/- 0.00751\n", - " 19/1 1.19096 1.17547 +/- 0.00690\n", - " 20/1 1.16996 1.17492 +/- 0.00619\n", - " 21/1 1.21025 1.17813 +/- 0.00646\n", - " 22/1 1.16321 1.17689 +/- 0.00603\n", - " 23/1 1.17115 1.17644 +/- 0.00556\n", - " 24/1 1.22113 1.17964 +/- 0.00606\n", - " 25/1 1.22173 1.18244 +/- 0.00630\n", - " 26/1 1.20065 1.18358 +/- 0.00600\n", - " 27/1 1.16530 1.18251 +/- 0.00574\n", - " 28/1 1.19524 1.18321 +/- 0.00546\n", - " 29/1 1.21012 1.18463 +/- 0.00535\n", - " 30/1 1.17722 1.18426 +/- 0.00509\n", - " 31/1 1.22580 1.18624 +/- 0.00523\n", - " 32/1 1.22713 1.18810 +/- 0.00532\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 33/1 1.18152 1.18781 +/- 0.00509\n", - " 34/1 1.19174 1.18797 +/- 0.00488\n", - " 35/1 1.16542 1.18707 +/- 0.00477\n", - " 36/1 1.17726 1.18669 +/- 0.00459\n", - " 37/1 1.18762 1.18673 +/- 0.00442\n", - " 38/1 1.22714 1.18817 +/- 0.00450\n", - " 39/1 1.20317 1.18869 +/- 0.00437\n", - " 40/1 1.19103 1.18877 +/- 0.00422\n", - " 41/1 1.18732 1.18872 +/- 0.00409\n", - " 42/1 1.17655 1.18834 +/- 0.00397\n", - " 43/1 1.19444 1.18852 +/- 0.00386\n", - " 44/1 1.20193 1.18892 +/- 0.00376\n", - " 45/1 1.18119 1.18870 +/- 0.00366\n", - " 46/1 1.20957 1.18928 +/- 0.00360\n", - " 47/1 1.22192 1.19016 +/- 0.00361\n", - " 48/1 1.21260 1.19075 +/- 0.00357\n", - " 49/1 1.21932 1.19148 +/- 0.00355\n", - " 50/1 1.19490 1.19157 +/- 0.00346\n", - " 51/1 1.18269 1.19135 +/- 0.00338\n", - " 52/1 1.22270 1.19210 +/- 0.00338\n", - " 53/1 1.18729 1.19199 +/- 0.00331\n", - " 54/1 1.19737 1.19211 +/- 0.00323\n", - " 55/1 1.20254 1.19234 +/- 0.00317\n", - " 56/1 1.15489 1.19153 +/- 0.00320\n", - " 57/1 1.16295 1.19092 +/- 0.00319\n", - " 58/1 1.21431 1.19141 +/- 0.00316\n", - " 59/1 1.19051 1.19139 +/- 0.00310\n", - " 60/1 1.17480 1.19106 +/- 0.00305\n", - " 61/1 1.18701 1.19098 +/- 0.00300\n", - " 62/1 1.18980 1.19095 +/- 0.00294\n", - " 63/1 1.19358 1.19100 +/- 0.00288\n", - " 64/1 1.24258 1.19196 +/- 0.00298\n", - " 65/1 1.26457 1.19328 +/- 0.00321\n", - " 66/1 1.18476 1.19313 +/- 0.00316\n", - " 67/1 1.19036 1.19308 +/- 0.00310\n", - " 68/1 1.20020 1.19320 +/- 0.00305\n", - " 69/1 1.18108 1.19300 +/- 0.00301\n", - " 70/1 1.16760 1.19257 +/- 0.00299\n", - " 71/1 1.16753 1.19216 +/- 0.00297\n", - " 72/1 1.17831 1.19194 +/- 0.00293\n", - " 73/1 1.21037 1.19223 +/- 0.00289\n", - " 74/1 1.18342 1.19209 +/- 0.00285\n", - " 75/1 1.17585 1.19184 +/- 0.00282\n", - " 76/1 1.20600 1.19206 +/- 0.00278\n", - " 77/1 1.20947 1.19232 +/- 0.00275\n", - " 78/1 1.19107 1.19230 +/- 0.00271\n", - " 79/1 1.24353 1.19304 +/- 0.00278\n", - " 80/1 1.19198 1.19303 +/- 0.00274\n", - " 81/1 1.18376 1.19290 +/- 0.00270\n", - " 82/1 1.20239 1.19303 +/- 0.00267\n", - " 83/1 1.17231 1.19274 +/- 0.00264\n", - " 84/1 1.23129 1.19326 +/- 0.00266\n", - " 85/1 1.19862 1.19334 +/- 0.00262\n", - " 86/1 1.18867 1.19327 +/- 0.00259\n", - " 87/1 1.17876 1.19309 +/- 0.00256\n", - " 88/1 1.20506 1.19324 +/- 0.00254\n", - " 89/1 1.16997 1.19295 +/- 0.00252\n", - " 90/1 1.18842 1.19289 +/- 0.00249\n", - " 91/1 1.20587 1.19305 +/- 0.00246\n", - " 92/1 1.18877 1.19300 +/- 0.00243\n", - " 93/1 1.20260 1.19311 +/- 0.00241\n", - " 94/1 1.16801 1.19281 +/- 0.00240\n", - " 95/1 1.22211 1.19316 +/- 0.00239\n", - " 96/1 1.20895 1.19334 +/- 0.00237\n", - " 97/1 1.17232 1.19310 +/- 0.00236\n", - " 98/1 1.17738 1.19292 +/- 0.00234\n", - " 99/1 1.18179 1.19280 +/- 0.00231\n", - " 100/1 1.21148 1.19300 +/- 0.00230\n", + " 1/1 1.10037\n", + " 2/1 1.13359\n", + " 3/1 1.19525\n", + " 4/1 1.17773\n", + " 5/1 1.18679\n", + " 6/1 1.19587\n", + " 7/1 1.15853\n", + " 8/1 1.20775\n", + " 9/1 1.16209\n", + " 10/1 1.16847\n", + " 11/1 1.20309\n", + " 12/1 1.16104 1.18206 +/- 0.02102\n", + " 13/1 1.16397 1.17603 +/- 0.01355\n", + " 14/1 1.14591 1.16850 +/- 0.01219\n", + " 15/1 1.17191 1.16918 +/- 0.00947\n", + " 16/1 1.16651 1.16874 +/- 0.00774\n", + " 17/1 1.19610 1.17265 +/- 0.00762\n", + " 18/1 1.20282 1.17642 +/- 0.00760\n", + " 19/1 1.18597 1.17748 +/- 0.00679\n", + " 20/1 1.17570 1.17730 +/- 0.00607\n", + " 21/1 1.16712 1.17638 +/- 0.00557\n", + " 22/1 1.16823 1.17570 +/- 0.00513\n", + " 23/1 1.19360 1.17707 +/- 0.00492\n", + " 24/1 1.18422 1.17759 +/- 0.00458\n", + " 25/1 1.19166 1.17852 +/- 0.00437\n", + " 26/1 1.24363 1.18259 +/- 0.00577\n", + " 27/1 1.16911 1.18180 +/- 0.00547\n", + " 28/1 1.19028 1.18227 +/- 0.00518\n", + " 29/1 1.18476 1.18240 +/- 0.00490\n", + " 30/1 1.18887 1.18272 +/- 0.00466\n", + " 31/1 1.16268 1.18177 +/- 0.00454\n", + " 32/1 1.17464 1.18145 +/- 0.00434\n", + " 33/1 1.21646 1.18297 +/- 0.00442\n", + " 34/1 1.18471 1.18304 +/- 0.00423\n", + " 35/1 1.19146 1.18338 +/- 0.00407\n", + " 36/1 1.22839 1.18511 +/- 0.00428\n", + " 37/1 1.19880 1.18562 +/- 0.00415\n", + " 38/1 1.18704 1.18567 +/- 0.00400\n", + " 39/1 1.21846 1.18680 +/- 0.00402\n", + " 40/1 1.18147 1.18662 +/- 0.00389\n", + " 41/1 1.18398 1.18654 +/- 0.00376\n", + " 42/1 1.17972 1.18632 +/- 0.00365\n", + " 43/1 1.17833 1.18608 +/- 0.00354\n", + " 44/1 1.18282 1.18598 +/- 0.00344\n", + " 45/1 1.18647 1.18600 +/- 0.00334\n", + " 46/1 1.22036 1.18695 +/- 0.00338\n", + " 47/1 1.18680 1.18695 +/- 0.00329\n", + " 48/1 1.18704 1.18695 +/- 0.00320\n", + " 49/1 1.18955 1.18702 +/- 0.00312\n", + " 50/1 1.20479 1.18746 +/- 0.00307\n", + " 51/1 1.18734 1.18746 +/- 0.00300\n", + " 52/1 1.19721 1.18769 +/- 0.00293\n", + " 53/1 1.17690 1.18744 +/- 0.00287\n", + " 54/1 1.18976 1.18749 +/- 0.00281\n", + " 55/1 1.22134 1.18824 +/- 0.00285\n", + " 56/1 1.19238 1.18833 +/- 0.00279\n", + " 57/1 1.22054 1.18902 +/- 0.00281\n", + " 58/1 1.17055 1.18864 +/- 0.00278\n", + " 59/1 1.20104 1.18889 +/- 0.00273\n", + " 60/1 1.22188 1.18955 +/- 0.00276\n", + " 61/1 1.17142 1.18919 +/- 0.00273\n", + " 62/1 1.19069 1.18922 +/- 0.00267\n", + " 63/1 1.20999 1.18961 +/- 0.00265\n", + " 64/1 1.13833 1.18866 +/- 0.00277\n", + " 65/1 1.20940 1.18904 +/- 0.00275\n", + " 66/1 1.19219 1.18910 +/- 0.00270\n", + " 67/1 1.17385 1.18883 +/- 0.00266\n", + " 68/1 1.18968 1.18884 +/- 0.00262\n", + " 69/1 1.23384 1.18961 +/- 0.00268\n", + " 70/1 1.21239 1.18999 +/- 0.00266\n", + " 71/1 1.16257 1.18954 +/- 0.00266\n", + " 72/1 1.14933 1.18889 +/- 0.00269\n", + " 73/1 1.19769 1.18903 +/- 0.00265\n", + " 74/1 1.20393 1.18926 +/- 0.00262\n", + " 75/1 1.23103 1.18990 +/- 0.00266\n", + " 76/1 1.16576 1.18954 +/- 0.00265\n", + " 77/1 1.17253 1.18928 +/- 0.00262\n", + " 78/1 1.18191 1.18918 +/- 0.00258\n", + " 79/1 1.15952 1.18875 +/- 0.00258\n", + " 80/1 1.20504 1.18898 +/- 0.00255\n", + " 81/1 1.22039 1.18942 +/- 0.00256\n", + " 82/1 1.18295 1.18933 +/- 0.00252\n", + " 83/1 1.23484 1.18995 +/- 0.00256\n", + " 84/1 1.20951 1.19022 +/- 0.00254\n", + " 85/1 1.20073 1.19036 +/- 0.00251\n", + " 86/1 1.21033 1.19062 +/- 0.00249\n", + " 87/1 1.20197 1.19077 +/- 0.00247\n", + " 88/1 1.18129 1.19065 +/- 0.00244\n", + " 89/1 1.22345 1.19106 +/- 0.00244\n", + " 90/1 1.14146 1.19044 +/- 0.00249\n", + " 91/1 1.19893 1.19055 +/- 0.00246\n", + " 92/1 1.20454 1.19072 +/- 0.00244\n", + " 93/1 1.22963 1.19119 +/- 0.00245\n", + " 94/1 1.19911 1.19128 +/- 0.00242\n", + " 95/1 1.20091 1.19139 +/- 0.00240\n", + " 96/1 1.23388 1.19189 +/- 0.00242\n", + " 97/1 1.17890 1.19174 +/- 0.00240\n", + " 98/1 1.17312 1.19153 +/- 0.00238\n", + " 99/1 1.18415 1.19144 +/- 0.00235\n", + " 100/1 1.19391 1.19147 +/- 0.00233\n", " Creating state point statepoint.100.h5...\n", "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", - " Total time for initialization = 9.2068e+00 seconds\n", - " Reading cross sections = 9.0835e+00 seconds\n", - " Total time in simulation = 6.2805e+00 seconds\n", - " Time in transport only = 6.2389e+00 seconds\n", - " Time in inactive batches = 6.3362e-01 seconds\n", - " Time in active batches = 5.6468e+00 seconds\n", - " Time synchronizing fission bank = 1.6112e-02 seconds\n", - " Sampling source sites = 1.2967e-02 seconds\n", - " SEND/RECV source sites = 3.0640e-03 seconds\n", - " Time accumulating tallies = 3.5000e-05 seconds\n", - " Time writing statepoints = 8.1710e-03 seconds\n", - " Total time for finalization = 4.0000e-06 seconds\n", - " Total time elapsed = 1.5534e+01 seconds\n", - " Calculation Rate (inactive) = 78911.5 particles/second\n", - " Calculation Rate (active) = 79690.4 particles/second\n", + " Total time for initialization = 4.8327e+00 seconds\n", + " Reading cross sections = 4.7094e+00 seconds\n", + " Total time in simulation = 1.1295e+01 seconds\n", + " Time in transport only = 1.1222e+01 seconds\n", + " Time in inactive batches = 1.1395e+00 seconds\n", + " Time in active batches = 1.0156e+01 seconds\n", + " Time synchronizing fission bank = 4.0753e-02 seconds\n", + " Sampling source sites = 3.4971e-02 seconds\n", + " SEND/RECV source sites = 5.7304e-03 seconds\n", + " Time accumulating tallies = 6.2803e-05 seconds\n", + " Time writing statepoints = 4.9304e-03 seconds\n", + " Total time for finalization = 7.0600e-07 seconds\n", + " Total time elapsed = 1.6170e+01 seconds\n", + " Calculation Rate (inactive) = 43877.4 particles/second\n", + " Calculation Rate (active) = 44309.8 particles/second\n", "\n", " ============================> RESULTS <============================\n", "\n", - " k-effective (Collision) = 1.19261 +/- 0.00231\n", - " k-effective (Track-length) = 1.19300 +/- 0.00230\n", - " k-effective (Absorption) = 1.19197 +/- 0.00160\n", - " Combined k-effective = 1.19231 +/- 0.00151\n", - " Leakage Fraction = 0.04087 +/- 0.00031\n", + " k-effective (Collision) = 1.19145 +/- 0.00225\n", + " k-effective (Track-length) = 1.19147 +/- 0.00233\n", + " k-effective (Absorption) = 1.18806 +/- 0.00164\n", + " Combined k-effective = 1.18901 +/- 0.00154\n", + " Leakage Fraction = 0.04108 +/- 0.00032\n", "\n" ] } @@ -1122,7 +1059,7 @@ "provenance": [] }, "kernelspec": { - "display_name": "Python 3", + "display_name": "openmc-env", "language": "python", "name": "python3" }, @@ -1136,7 +1073,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.0" + "version": "3.11.6" } }, "nbformat": 4, diff --git a/VHTR/VHTR.ipynb b/VHTR/VHTR.ipynb index 4688bdc..61900b5 100644 --- a/VHTR/VHTR.ipynb +++ b/VHTR/VHTR.ipynb @@ -20,8 +20,17 @@ "metadata": { "id": "ztdDaVCavN_I" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "env: OPENMC_CROSS_SECTIONS=/opt/xdata/endfb-vii.1-hdf5/cross_sections.xml\n" + ] + } + ], "source": [ + "%env OPENMC_CROSS_SECTIONS /opt/xdata/endfb-vii.1-hdf5/cross_sections.xml\n", "%matplotlib inline\n", "import openmc" ] @@ -100,7 +109,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 3, @@ -109,14 +118,12 @@ }, { "data": { - "image/png": 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\n", 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", 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" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -139,9 +146,9 @@ " triso_cells.append(openmc.Cell(fill=triso_mats[i], region=+layers[i-1] & -layers[i]))\n", "\n", "triso_universe = openmc.Universe(cells=triso_cells)\n", - "triso_colors = {triso_cells[0]: (0.78, 0.2, 0.2), triso_cells[1]: (0.69, 0.89, 0.29), \n", - " triso_cells[2]: (0.29, 0.73, 0.47), triso_cells[3]: (0.12, 0.29, 0.42), \n", - " triso_cells[4]: (0.29, 0.73, 0.47)}\n", + "triso_colors = {triso_cells[0]: (199, 51, 51), triso_cells[1]: (176, 227, 74),\n", + " triso_cells[2]: (74, 186, 120), triso_cells[3]: (31, 74, 107),\n", + " triso_cells[4]: (74, 186, 120)}\n", "triso_universe.plot(width = (0.1, 0.1), colors = triso_colors)" ] }, @@ -245,7 +252,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -261,7 +268,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": { "id": "2Z8EXBSgR_yq" }, @@ -279,7 +286,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -292,23 +299,21 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 10, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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Ez61oAXPbKqxMup6Urh0Bs51aHK06Ozfeczob1w433W31v0kmuu3cTCMSevyJqfUN8Qb6jm7uMsTd1cNef2jmicgtU7vhzUM5WBBxlMUnUDQ+t8Lj8TjpK8shyZKineTRgyG4w6+qP5HC+WhaDa4swzTjb6zsqZ1jYjo4xz0fuiHRLkMUcQ1t7eXe5NQ4N2RYWhRJmvKCNp1wTPaVOLSTJBNM7+F3krzK52+853ReusmYlBlFwSSpiJat4Y1GVw8Lo1PVtePom2VFWqvBXMebfzz7DxkVcmv3PXDR6XiHocpwab6MvcjVTxwJCv9WvwdmqX277P7gvJPOHQ/N3UvbG5btLQcHnz3jSYZpLCbr2ofX5cldk/uzZzzJXVZykE2n7xKBQzFYWniBKI6rnzjC6DmN8RG2KAChcRKdwotDCGFZf+YfMi4IyhQI1/k7bTVAfVfC9D8UFRfRCnZburDdCjAEO8clTV6M/eRiHqn2vbBjJPRNpkzCAH0S59CqIzLP0Gd9rqj3pY1zsGnalmzzJH/ppuhVqhnLkHS7UQdKJY1ziIuniCJpnENWzDiJVrZF83RM+jiHhOgJrKlN5I/NsiZ3+rt9kRaCDkZiqjF1eflFxUZIJsEOedYhwpPEB0aBO9TaxI6pKDrGIQ+6JU4iF8tBRC4FvkzQt+J+pdQm6/XfB24G3gFeA/6nUurlqHPmYTkktRjMUGcTO7y5aFqxHDaufasWVhwVRr3jmVVNr+WNbTm4Qp7t60o6oU2RMUOt88yvaJflkBd5WBCFhk+LyAzgBWAZQRPdZ4HrlFLPG8d8DNijlDohIr8LXKyUWhl13naJQ5IcinaJRCvh03Eh2lCP1y/agjDFQQtDEUsBLRR5WwleHBrJY1kxBOxXSr1UHezrwOVATRyUUt8zjn+GhqidznHXm5cwujg8KcYsdTa2exQSZGFCsUsIEztEOyypZ9+hU5mcHmfj2vYtMVzh42Fl5NIWpOmGpUMvkEecw/uAV4zfD1afC2M14OzHJiIjIjIlIlOvvfZapouKsxr0UiIqW04/p7/Etk/CPNfw944xOTXO5NQ4d715SeixeaGdj1HXb9JKMdVW0Xd2uydFGHkFYvUbRcc9tDUISkRWARXA+U1VSm1RSlWUUpWzzjqrnZfm8Xgs8lhW/Bg4z/j93OpzDYjIJ4DbgCVKqf/MYdzM6MzLqLuaqw6ixtzqdDkzWy3mkhS74KmLqOs3aXecg12A1lM+8rAcngUWisgHROQ04FqgobO2iPwKcB9wmVLq1RzGzExaU3bfoVMb3qOXJXYzV7OqT9HEVUuG8GpMEAjC8oseZvlFDwc+goFFQfu4ix5OVacyCfZ16N/jwsvLyCMr5jT89CqZxUEp9Q6wFvgO8C/AN5RSz4nInSKi3e9jwEzgERHZJyLbQ07XNvIOFzbvgPqx9j8Ugb67J51ctpCYhWJGF4+xbOHdtf6Uo4vHmJwab1kgtMPQvjYzp8CkW0K3H1kxh9FzdrJkYFHDz+g5O3tSJHIJglJK7QB2WM/dYTz+RB7jJKWI1Ox6LkV5isKakyrKQtDZn2aodFTUoblD0+oOR1j4uR3unLV6UzvQE3/JwCJmL/xo01JON/ztRHHYIlO5+yYr04W+m0ZNLLN3QlLMO2ahkZH3nM6uE3sirQdX56cwYTB9L2a3qla44fhATSB0dqr90+nEsyToMm92HUj9o1m28G4mp8Z7yoLo2/BpnRRlJvWEoa0Gc6Lr94O7rVr9i1+spRFkVjYn9OhrODp7OFEItf6i2w7MwM/SWljKDUZfiF0n9jQVlMmjGEzR2C3wXJ29oLHpr1k92kQLh109u6zh1D0nDmmWFJ8940nuehOWzHOHH+s78q4TeyItgCFH5mVY0dmw64jDtf6vLROMakz2NXQ6w9IMWGqo0FRyUYCqj2EgfkdIE7XzYlatbuhEXu1VAa2LRFFLi54Th7RogXDtXuhyZ2GT13z+Lss8DnuPK8MzrMBsLaEKGB1otgpsf0AeQuB0Fhbc96JbSFriTVsIerJHNbUxO5GXqaEN9Kk42JPxs2c82RAa3fh6smVB3N0/zGqYnBp3rrvtsvP2l2rZwrsZHDjJxrXpcyZc47mWVd3gE+gG4py/ZaWvxMFubae/+PbELsqJmCa2IkkNg1ZzJoKOWY1+EjtjEuDo7NaWJXaaNtT/r/PKi7D7XGjS1IkA6xod5r1Z/zFpgVjz/Y+smBPbVTyqxUEn6RtxiErLLjqSUTNUGXYuK2w2rn2rutYNz00we2cEZmk6p+GOZxorRtvViVr1V5jFWVwtAMlYc8HVJcs8f1ydCDv123Q2Dg6cbOhXefUTR5g8py6WcdWoatvdJVoaZKGvtzI9Hk84PVUmLmynIqpvpd2Srkjidit0PQdXnYaoHosT0+tbLuYSFgXZitWQpn9nK9ZDkpJxUYFVZvGZqOXaxPT6WhVo7UwEEo3rqgM5es7OyPeaLQOzOCRb2bHo+zJxSdbvrbakc51HjwmNfo1gZySkFF0IrTZBSUqeW51x/89m5GWrjWeS+GFcbfG0sETFLEAguDri8WouDibrisZ4Fpd/pua8dUxuM1rUdXPqdO+SMHpaHOoTMdwR2GrBkbDxwvaytV8jrQBp6yBMJMry5dq49i2YCq/hYPa0hGCyprUe4ia3HbxlC1BY/1MXo4vHeKTa0Fbfza+mXkFao7e7x35ycaivQQtMdLBc+YKheloc9ESM24zLY8suaumi75ZpHJ92lyTbEWZOhH6IRbB3J8KK85hp4KYA2cISRlyK+9VPHGmOgEwwqU2B0Oj2BGUTBU1Pi4MmauLneeeNS2RKap3o7tU6tFvjaqxT5liEJHUk+okmYSmpKGj6ZrfCTP7R5Fk8NkkMQ5o4h433nN6UsGRiXnunQ6QheQq5fr0ddSDtMcpWO8KuC1G2pK2+sBzszlPazI8Lj05DEXdvHYsAzcKSNKGqnUQ53sCydFLmVugkLjtRzu6yrcexO1/Zf5+wgCYzCzfJ39Se0EmWCGYClh1fMnlO9l2LvOiZrcwkCVeurcS8gp/uevOSyFLsujx8kR2vOs1LN72rYbvRJmvjmTRbma5x1v7goaZwdJcfR/+toiaomS9hEudgjMqz0GMDseOHkXY7s++3MjV5CoHrvK7iJtA530An2uPpO7zLv5K1I5Xd/cpFlAANWdajK1U/Kl5BEzXBdc5LcFzzBE+y3QsEOyIdTsTqK8shD+r5GXXsQirgDkeOE6c8LActCFF3taJEIq5XZp6YYdSaJOLjas+n0f8/SSwGcyfJtbSBZgtEF46Jaydw2VVvJxIpF95y6BBJ2ubp1G3zztmulnpmazxXObOspd/KxA3HB5oDqRL4MbR43PChG3ho5ommv1Pcnbp+548u/AL1xDhX8Ze4OAstII+smNMx66Fvdis8Hk86+sZyyNqqLsxqgNaCnPK4JpOwvpnm3UxXl56YWp/YejALzpiUbaekFewlSNJemWlrMOi7v6tFYBR5Re62St+IQ97sO3RqbvvmeeR1pK11GPelqyVRDQSh4HpCmJ95+UXlibPIE7uSU8PzCdxgaf+vw+h0gFsu4iAilwJfBmYA9yulNlmvvxt4CLgQeB1YqZQ6kMfYSWlXc9s0hF1TVL3IsOPT1joM8gPCMznDvOrm763WktCYIdFZg6LyOJcds2Cv93V9h1axWwmkLRzTbjKLg4jMAL4CLCNoovusiGxXSj1vHLYaeEMpdb6IXAt8AViZdexOoLfRzDtomrL1rbJx7VuJ7tB5ZHHaxWaiunePLh5jYyVdqTrXTkNckZaoc4EVJJah6pRdvaoVh6C5a2HvOMRVlooqHBNm0RRFHpbDELBfKfUSgIh8HbgcMMXhcmBj9fE4cI+IiCrRPmpcgJTeiZicGneKQbt2JNqBuUQJExszySnOCjEJC2TSW3dpJnZYVahWzHFX2TlXfc8hK0ozKjPUnuA6+Wpian2DQNiY25hmPQm9pNHWS9GRlHmIw/uAV4zfDwK216V2jFLqHRE5CpwJNHwyERkBRgDmz5+f6iL+4Mz9qY43mXtgjdPZOPy94MtxeMG9wRNn7meINc5zHF5wL3/Q8hUEPP7W7dVHtze9tuWLn4945+21O1JcijfUk81+/q3mcUY23J5oXW2zce1bXPHBT0Ye89iLj0YuV2qdowAqw5HnM89lU1vuxJzD5IrqOU20MMxb/HjtuXXHYJXxGcImN9RFyn7/5spqJqbWh0aRTkzDwxccZXMlJppy4CSj5wRjrDu2tfpsfiXqS+WQVEptAbZAEATVjjFfHj+baxaHtzkbHDjJrgPUBKImFAWy5YufDyYpcaJQP37w4nEG59WzOOPuakOVYdjpPl+S7uNQtx7SON3sL7odG6AnzNju0cQTG9wFclvBthTqk67xmLhoWH2c6/3rjm2FC2Dzica8GZ3Cve7YVjbPWl0LtgrzJZnFc7gg/WeNIw9x+DFwnvH7udXnXMccFJFTgNkEjsmOMvfAGq5ZHJ4PAcEfYMm8RQ0C0Q6SiIKJ6wsbZbLu2/mD0HOZVkiUQKRNUrK38lznNv8Wj734aGKBMIWxVfSkNH8PO05PbldC3MMXHA1+CXl/0/n1xDaOjwq20ph+n80n9oReb6vkIQ7PAgtF5AMEInAtcL11zHbgRuAfCWqvPN1pf4NeSkStre3KQu9f0K6rS09gbdCUO6AxTd0oYXBZIVHoJcqWL36eHX++t+XrjyuykoQ8tpbTTDAtEg3kMEEDgRqP/f83/88mp8Zztx4yi0PVh7AW+A7BVuZfKaWeE5E7gSml1HZgK/A3IrIf+HcCAek4ZtkwF3ZlobkH1oRaD3MP1H0R7bQwTAJrI7A4Riq3O8uZRQmDxtW9Oyx/oHb8zgwXTqOXXl9vlNWgXzOdw2b3qKEU/oYyknRpB8U1xsnF56CU2gHssJ67w3j8FnB1HmOVCS0Ik1PjvGzWqZw6u9GR2QFMoaixM/l7RzbczpJ5ixp8GDY6sSjpEshVUyHpsS7syW8ub9olDHoZkrdJXwZ8boXH43FSqt2KoijC5Nc+C3Cv78d2jzJE+DKk7GjrYXI6vHDL0dnDqRynV3zwk3xu26diK0VB8spapoWQl7WQxClpH5e3BZHUKQzFVSDvWXEwBaEh6q0ap3B4wb2MjTfuV0dFq01M14Vl7oE1LBlYVHNm2n4Lc4up2wUCPs9IpTkeYt/OH7TkZ7B3VUyKWBaYsQtx59QT3Py+rGJ27ZrMia+3Gk3yyoNYd2wrq5hdcwrHlbSrjV3C3YrSYv7x9GQ1o96SroH1l/Yw99bOa2fX2eXGTIEo8y5HEtJuq0ZxxQc/yRUf/GRt0pp7/H+y8m9zG8cVJPW5bZ+KFZ+weh0QBC/FWQabZ8Ufo4/TRMVSREVSQt3aqm2f5kjPiMP+K49x/jeDlnamyQ/1wJoGgaje0XcdgCXz3C3SzPJuptXwsrXN5MqANHc5PM3oyVmE41AvXezANrOE2+e2fapBjKKiN83ArLjtwqTCYFsn0Bg0te7Y1oZIytiCvce2snLja7Fjp6FnxMFFZGhtFS0QrpoFevvPXhbEbYHaRG2BevLF9mm4LDoI/oZmkFWSlonQaBm4uqbHoYUhbFllWidaIHZZXbY0tYCrgnZKeloczIAg+zmTwwvu5f0L3I5LvZSwz2vWEIzDJQxliIvoNR578dFQYdC/2yXcoDXrRUdTmkvTJEuOsKQzMG5chnViRlE2LVkK3j7tya3MwwvubfijaUEwPeGuCXl4wb21n6hzQ2M0nr0etAN6upGRDbfX8jvKwGMvPtqUGBVFVDapfi2sgnVS1h3b2vCThLCkM/M50x9hj9dOetZyOLzg3oYMStMTnvVO7fJKuxxGtiOzG9CCoB23Ixtuz80haU/uJHds23EZ9d60Zdj0e6744CdjG/JoejHYKYyeFQdoFIE8txRtRyaE96kIG7OMS4mRDbc3TEL9eGRD6zsW5uS279R69yBOJOxrKqJ0mhmOHbZbkcd2YRIBKgs9LQ4meU9GLRDQfFcLc2R2C00t2qbGWxIIvQOgzxnWACYs+9J+v74e/Zr9nlZEw/YZbK6sdnbC1q/nhZnYZtd/KIt10lPiYG5n5om9NQqNX6r3D7/a5GDspqVEFPbuTlLsOAPbSWg6BpfMW5QqPTuKuMhCu4Sbs37DBe6IR9sXkHYS2+JjC14W8t7GhB51SHo8nuz0lOVQBGalKJPBASMPoItDpOPIclcLq/pkPjbrEdiWgxmDYF+Hy8rQz9mduF3o+o5h1oq2ChoDlsYb7vabK+nzKbT1APWuaA3LlpIsKaCPxSFJYNLL42eHOo90zUOAian1PSUQ2mlmOuLS+huSVH3SxDnndLBR0jTux1581Bn1am4t7zqxJ1Guhb000sFv2l/SSom2svgU4ugrcbDrL5hJWK5jzRJyUetXXRi1F3IoRjYEj9NmR7pI65F3+R3ifnehBSLMUZzkPGEBSyZFlmgrA30jDqYw2I4g113fvPMlqcYzuniMXQf2dL31oFO19STKEuOQtq5jkspPac6l39Oqs9MlDK6KWEWUaCsDPScOUTsW9l57nCc+SQ0/iK5o1I0kEQQzWAqqd+QX65PYlfEalxJfFHkld0UVxE2ajWlj7oDYDXWSnq+InQroQXFIS6+kVbcLUxRGF481RSSagU06CQoaq2HbxWTz6gnpCq8ucx1J26dh/1+uqvpZOrVk6Xtx6MYQ505hRlCG9VOwHZmuath27knUrkFSwprcJI3CTIK2fuyuVhPT6Z2Mm2etrhUMCsvwLbInRRJ6UhzyCIaKa3sGzQE17x9+NdOYZUYLg52NGlXkxqyXEJYhm3Xifm7bp2rndU00U6zSjuMKdQ6tvp1CHLTFYG+PuwLE4hyeRS0pAKRE7SobqFQqamqqhb5sVVziEBXp6HIk2luZYT4GXYU5qzPy8bX/nun9RTKy4XaWDCwKjVvQ6P+bien1TRO/lcSrKB578VGWDDRuWdpiBfVcl7hKU/P/aUXD766tTI0Z8py2CpO2GpLshMVVesoqDiKyVylVcb2WyXIQkfcC24AFwAHgGqXUG9Yxg8CfA7OAnwH/Rym1Lcu4rWJnaurnwrAz9VyiAL1vNUDyuIWoFnl5rv/1MsK8+0ZV5LKLuyTBlWuhLRG9LZq1PFuSRsWdIuuy4lbgKaXUJhG5tfr7H1rHnABuUEpNi8jPA3tF5DtKqZ9mHLsl0tzdtZiEmcRHZwdWR68LQ1kxK3Il7QaeVqDMrlabZwVVmYpIxCojWXMrLgcerD5+kKBZcQNKqReUUtPVx/8GvAqclXFcj8dTMFkth7lKKe0C+gkwN+pgERkCTgNeDHl9BBgBmD9/fqYLyytD0ywhZ5rJ7x9+ta92OJJuNfZazIdJEZZCnLM7KgakSGckJBAHEfkucI7jpdvMX5RSSkRCvZsiMg/4G+BGpdR/uY5RSm0BtkDgkIy7tnbSirPRTONu9RxlJa7ZShIHYD/jKjsf5vAuoidFEmKXFUqpTyilPuz4eRw4XJ30evI7F98iMgv4FnCbUuqZPD9AGZl7YA0vj58dOPEGFrFkYBGTU+PMPbCm9tMu8qoDueWLn2ds9yiD807WHLHml/iyq95uuNsVUa3JxnQUxlks7bqmJKw7tpWhyjAT0+sbnjf/D6G+C9Yp30ZWn8N24Mbq4xuBx+0DROQ04FHgIaVUujreGdl/5TH2X3msnUPWtktHF49VA4VOrWVwapFIW848C3k2pNG7N1okwP2FHts9WnhkYi09O0SsNPq5PAqq5IkpEPozmD8T0+tDhWHlxtcKX1JAxjgHETkT+AYwH3iZYCvz30WkAvyOUupmEVkFPAA8Z7z1JqXUvqhzZ41zMCmiOpQLUxjCtqD0F9kVF1HmOAeNnVPRalCTjnnIIiJxZeg0+g4cN5Yd59AOXLkVcbsheQpDVJxDzwZB2bRDIHQPTVegkB0y7IqN6AZxMLGXLJ3IY3AVsDVrM6YRrE6IQ1rythgKC4LyRBOVxQfd3wnLXrLs+PO9bb8Gs62eXcPh6Ozh3PIq+hEvDp6ewazh4MlO34hDUZWpo3Bt9+llxcR0b21t9hNZq1C3SjuckCZ9Iw7tws7kC9ti82ni7cNVMg6Sl4wz0cJgOg9bLfRSdvpKHNJaD3YWZ1w7PTMXI6xZqt5S8/kY7UEXnFmyeFHTboZZQTyNQLg6cBUtEO22GsD3rfB4PCH0leWQFG0xXLN4UcMdR99posrQh2Vy6i01bzG0D201xFWP1n+rdS2OU1T/zk7Td+KQZGkRFsikIx0HB06y60D08sJO1urm3pndyGMvPuos1GNiV65qtRxbEmHI4sTsxJIC+lAcotA5D1H9KszaAFF9L6Kebwc6QCnP8OluIklrAbugSlK/gW6yox9D+GSvd8zK3i2r3fSlOIRZD/oPrqsLRWUduioddRozYlF/Ft2kph9FIkkVpajKVS7WHdvK5lmrm7pzu7Ab47i6ZW2uRAtSp6wG6FNxcDH3wBpeJj4hyqw+rCdgGcra2zkPGr0eHtlwe18KRBEkvdtH5dnksZwpmr4Vh/1XHuOpP6ur/x0ZznXfy5dkvyDg/K99sPU3773OWZod6s7QTOdPwMM7yrT5NSPRUXYcyof/5J3MI49sugWA0cXReTbmcgZgy633NZznl95uKMfadvpWHAA+/pnxmkDcKfu5NOX766bl/tyuaWl1kjePAU9f+LXcxnGNa1LkWO0gSWsBjU7Q2jf+emHXY3cY1wIRtpzptDBAn4uDjZ6IUV+qosqg3aHOZ/K+fYwa26dmV+ix3aMs5brcJ60tCr3C8cPbGHtlvKFyuKtsvWaoMgzj99mn6Wv6XhxM60ETVY4e6neab//qYOS571Dn1x7fKeHWxR3qfOf61HysnVhL90bf1cPiK9KydG/+QtRukrYW2HViD8cPd6RbgpMyWA3gxaEBPYHvsL5UGjMEOkoY9GSHffXnKvXli4uke/KT0+NOC+LpC7/GUupWgNmSTr+ehm4XBgish6HKytDWArr3RFHCYNeJdNWIzKtPaBH0TbGXOGzrQd/1XR2ykloBNuYXwTzHpc/uq32JwtbGZrGYXSf2xE5evVxIOsnz8DkMlcoh2cjMuSubnrNF4at/9tNcxxzZdEtT8R8T/bc0HZHtthp8JaiE2AKhuUOdHykI5nFR21f6ywCGlaLOj22NprnsqrdrS5rjt5wMPa5TlFkckpC3OAAMDp8ZWaGqk8IA0eLQ3X9Nj8dTGN7nYPDxzwRLCNuCSGI1aKISfaC+TLkjZnkSRtG9E83lRS/4HTrNvvHXGansaVieal+HthrK4oC08eJQAkzHVRyD805We3TmP3HtGAvt4CyjSLh8CJoy7TxAc3AT0BXbpn5Z4UBbEO1AWw9RvReins+LpUaEpf7RPTbKFgsxc+7KhoZB5s/k1HikcJSNsloNkFEcROS9IjIhItPVf98TcewsETkoIvdkGbNdtCoQZsOXKMwlhd6P1+hGMeYP1B1Zed7Jl+69rkEYgFojHteOS6eZOXclSwYWNTQMMn+0qHWDQJRZGCC75XAr8JRSaiHwVPX3MP4Y2J1xvLaSViDMCW8LhOmhtve175T9Dd2PXJjvLxLbp1EmgdAWQ5TfpVsEouzCANl9DpcDF1cfPwjsBP7QPkhELiTowP1twLlt0iuYVoCrG1SYE/JO2V8LvtLvNa2Jo7OHq9uXbqtBm/6uvIwy+gxaJXD4Bo/jCrgUkVKvk6qcfoQeI6s4zFVKVf9U/IRAABoQkXcBfwqsAj4RdTIRGQFGAObPn5/x0vLBFV4dxZ2yH351kDvU+Q1fzrjgKahO4guDx0v37mGoMmxM7PAJbi4LdIETk5n3jSeOixicd7LhzlymCL4kBVzyZmTTLY2BcNXHg8NnNsUpJKUbrAZIIA4i8l3gHMdLt5m/KKWUiLgiqtYAO5RSB0Ukciyl1BZgCwRBUHHX1i7SCgSk2/50kSayccnAImYv/GjtjmozuniMmfe5A6f0OEu5rhYyblfK7le0MNhBTFBfNo5sSmdFdIswQAJxUEqF3u1F5LCIzFNKHRKReYCreuqvAb8hImuAmcBpInJcKRXlnygdrQgE1MOws4qFCy0MSeskLt0bHnatczNMQSjbssS0YOLSsLOiQ5/DRFf/ny+ZtyixQHSTMEB2h+R24Mbq4xuBx+0DlFKfUkrNV0otADYAD3WbMGjSOijNrEzzcRx6ByFuC9E0d6PqJELwZXY1djF5+sKv1RymeklTFmHQ2Ls6JnZCUxZc/1fb/+602o8myf8rdJ8wQHZx2AQsE5FpAn/CJgARqYjI/VkvrowkFYg0YqBZuvc6Zt53am0Pf3JqnJn3ncrM+04NFYqkdRKBqvUQLThaEPIQhbx3C4Isy+GGHR17uxcCkz9LtuXIpluasmRt8TV/H108VnNUuuhGYYCMDkml1OvAxx3PTwE3O57/a+Cvs4zp8Xjagw+fboFW/Q9R6OxMXQVq36FqgRfjLhlX6KVMaKtB/5tXSPPxw9vYNRcmp8PT4o/OLq5GQ1q61WoALw4tEycQd8r+xEsLO23bxHxuybxFXSUQRaGLuOw6sacpriNuOZGkrkNedLMwgBeHTIRlcWqS7lBMTo3H9sowK0HpWAhojksIey/Q1joQRd+59fl/8bxkY+roSl4J/maNZfS0YNR3HNIkw9mxIN0uChqfeJUDWRK17lDnpwpRNp2K9taeCzMvoyzBTO1GC8Po4jGWLby7IS9j2cK7a85fM/rRdHzaTk8730W/B3pHGMCLQ27kkckZtW/veu3pC7/GrhN7nF/iPBK2zC3VsmVmJsUUhriGujauJDp7V8S0GnpJGMCLQ65kFYiotOyw17RA6KQt108rywkzV0Ov67tVIFzbkmHxCrb1EBSiXe/8/zVLvfWaMID3OeROKzsZWda3UI9udDnogFz8DN3aZt7Mx3AR1WBGLxW0YNiJXPvGX4fx3hQG8OJQCHGOShPdaUs7FqOarwzOO8nEtHu3ovbcheaz2XY1kkT+9QNhodG9Kgoav6wokKTLDG2+hjnAoH31HOzrcj3uJtJcd5qQ614XBvCl6dtCEgsiqt8F1JcT7YxxSNvLooyl6bVDMm7ZlqZfZi8JQ1Rper+saANJlhl3yn4+estJlu4N1rX2Gj+q0EtRuMQgzClZ1sCsIPZhRmQ8SINVFlH4tZdEIQnlk3qPx1MK/LKizURZDx/9yLNtvJL0mKXr7RJ4UGzfyaw8/8oMwF0T09V9yqSXLQbfDq+EuESizOLgqlBtYprmZRUIM69Ci1xtu/fwNmc7vF4WBvA+h1KSZruz05jCEBdlGFbUVU9MV2PidomJOY7OyQgbu9dFIQleHDpMt4hEXJs/zeTUeEMylCkKo4vHaglmUM9L2DW3PF2qvCjU8eJQEj7+mXH+c9f7O30ZqdDBWmGh3bVMSKgmOzW+btZhLINAeGFoxItDiXj3kpcBukokovJBGn0UwXN2ApmZij5UWdkRgfj+F37Y9jG7Ab+VWULeveTlmlCUhbgMRY128M2cu7K2FImqjm3Wt2w33//CD70wROAthxJjCkQnrQmd2AV1P0HUboWLdjWhicOLQXK8OHQJnV5yPH3h11i6F2ecA1D6bUwvCunx4tBldNKaMC0IMz08Se3GopvQuPCCkI1MQVAi8l5gG7AAOABco5RqcvmKyHzgfuA8QAHLlVIHos7d60FQeVIWB6adePX8KzOagqZcDkmAien1uVkeXhSSExUEldUheSvwlFJqIfBU9XcXDwFjSqn/Dgzhbpvn8XhKRNZlxeXAxdXHDwI7gT80DxCRXwROUUpNACiljmcc02NRFselja5TAdRSpl07HIPzTmbuNeGthfzJKg5zlVI6tOUnwFzHMRcAPxWRbwIfAL4L3KqU+pl9oIiMACMA8+fPz3hp/YlrC7RTgqH7SwBMTK1virKsRUie2JNKGLwQtIdYn4OIfBc4x/HSbcCDSqmfM459Qyn1Huv9w8BW4FeAHxH4KHYopbZGjet9DsVQpFBEFXsxoyUb3pPQz+AFoRgyJV4ppT4RceLDIjJPKXVIRObh9iUcBPYppV6qvucx4CICwfC0mbDgqqKti+OHtzXkXJjPm3gRKA9ZlxXbgRsJumvfCDzuOOZZ4OdE5Cyl1GvAUsCbBCUjKiIzb+HwAtAdZBWHTcA3RGQ18DJwDYCIVIDfUUrdrJT6mYhsAJ4SEQH2An+ZcVxPG0kayv39JQVfiKetZBIHpdTrwMcdz08BNxu/TwD/I8tYHo+nvfjEK4/H48SLg8fjceLFwePxOPHi4PF4nHhx8Hg8Trw4eDweJ14cPB6PEy8OHo/HiRcHj8fjxIuDx+NxUtpemSLyGkG+RqvMAY7kdDl+bD92r479fqXUWa4XSisOWRGRqbA8dT+2H9uPHY9fVng8HideHDwej5NeFoctfmw/th+7dXrW5+DxeLLRy5aDx+PJgBcHj8fjpGfEQUTeKyITIjJd/fc9IcfNF5EnReRfROR5EVnQrrGrx84SkYMick/WcZOOLSKDIvKPIvKciPyziKzMOOalIvKvIrJfRJq6nInIu0VkW/X1PXn8H6cY+/erf9d/FpGnRCS36rhxYxvHXSUiqlpLtW1ji8g11c/+nIh8NfOgSqme+AHuImiWA0Fbvi+EHLcTWFZ9PBMYaNfY1de/DHwVuKddn5ugsdDC6uOfBw4BP9fieDOAF4FfAE4Dvg/8onXMGuAvqo+vBbbl9FmTjP0x/TcFfredY1ePOwPYDTwDVNr4uRcC/wS8p/r72VnH7RnLgaA134PVxw8CV9gHuFrzKaVOtGPs6vgXEnQFezKHMROPrZR6QSk1XX38bwT9RZxRcQkYAvYrpV5SSr0NfL16DWHXNA58vFp5PCuxYyulvmf8TZ8Bzs1h3ERjV/lj4AvAWzmNm3Ts3wa+oqqNrJVSmfvR9pI4pGrNJyL/JCJjIjKjHWOLyLuAPwU25DBeqrGt6xgiuPu82OJ47wNeMX4/WH3OeYxS6h3gKHBmi+OlHdtkNfD3OYybaGwR+QhwnlLqWzmNmXhsgu/2BSLyDyLyjIhcmnXQrH0r2kpMa74aSiklIq492lOA36CxNd9NJOi+lcPYawjaAB5MexPNYWx9nnnA3wA3KqX+K9VFdBkisgqoAG3pplEV/y8RfJ86wSkES4uLCayl3SLyy0qpn2Y5YdegOtiaL4exfw34DRFZQ+DrOE1EjiulQh1bOY6NiMwCvgXcppR6Jm7MCH4MmI3tzq0+5zrmoIicAswGXs8wZpqxEZFPEAjnEqXUf+YwbpKxzwA+DOysiv85wHYRuUwFfVyKHBuC7/YepdRJ4Ici8gKBWDzb8qh5OEzK8AOM0eiYuyvEsfN94Kzq7w8Av9eOsa3jbyI/h2SSz30a8BSwPofxTgFeIuiYrp1jv2Qd83s0OiS/kdNnTTL2rxAsmRbm/P2KHds6fif5OSSTfO5LCRpbQ5Cp+QpwZqZx8/wP7OQPwZr2KWAa+C7w3urzFeB+47hlwD8D/w/4a+C0do1tHJ+nOMSODawCTgL7jJ/BDGMuB16oTsLbqs/dCVxWfXw68AiwH5gEfiHHv3Pc2N8FDhufc3u7xraOzU0cEn5uIVjWPF/9bl+bdUwfPu3xeJz00m6Fx+PJES8OHo/HiRcHj8fjxIuDx+Nx4sXB4/E48eLg8XiceHHweDxO/j8hK+5gBP7+6AAAAABJRU5ErkJggg==\n", 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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -318,7 +323,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -331,28 +336,26 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 11, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "lattice_universe.plot(width=(1.4,1.4), color_by='material', colors = {graphite: (0.08, 0.09, 0.26)})" + "lattice_universe.plot(width=(1.4,1.4), color_by='material', colors = {graphite: (20, 23, 66)})" ] }, { @@ -366,7 +369,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": { "id": "t80buCTqL-84" }, @@ -380,7 +383,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "metadata": { "id": "ho_e-y7Cgi_q" }, @@ -391,7 +394,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -404,28 +407,26 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 14, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "pin_cell_universe.plot(width=(1.8, 1.8), color_by='cell', colors = {outer_pin_cell: (0.08, 0.09, 0.26)})" + "pin_cell_universe.plot(width=(1.8, 1.8), color_by='cell', colors = {outer_pin_cell: (20, 23, 66)})" ] }, { @@ -439,7 +440,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -452,33 +453,31 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 15, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "pin_cell_universe.plot(width=(1.9, 1.9), color_by='material', colors = {graphite: (0.08, 0.09, 0.26), fuel: (1, 0.86, 0.57)})" + "pin_cell_universe.plot(width=(1.9, 1.9), color_by='material', colors = {graphite: (20, 23, 66), fuel: (255, 219, 145)})" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -503,7 +502,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 16, "metadata": { "id": "lLnEBbE3aJqa" }, @@ -533,7 +532,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 17, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -562,7 +561,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 18, "metadata": { "id": "ijZDqnyY7Y2f" }, @@ -576,7 +575,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 19, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -589,28 +588,26 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 22, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "total_pin_cell_universe.plot(width=(1.9, 1.9), color_by='material', colors = {graphite: (0.08, 0.09, 0.26)})" + "total_pin_cell_universe.plot(width=(1.9, 1.9), color_by='material', colors = {graphite: (20, 23, 66)})" ] }, { @@ -624,7 +621,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 20, "metadata": { "id": "gxixGDvIIXnH" }, @@ -636,7 +633,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 21, "metadata": { "id": "0lt1V5rQJFlY" }, @@ -651,7 +648,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 22, "metadata": { "id": "6NyajaT_Dhdf" }, @@ -670,7 +667,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 23, "metadata": { "id": "eMfy_09gPIjE" }, @@ -701,7 +698,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 24, "metadata": { "id": "vygU8F5vLG2x" }, @@ -731,7 +728,7 @@ " n = 1\n", " else:\n", " n = 0\n", - " \n", + "\n", " cur_ring = repeat_lat_element(n, ring_left, ring_right)\n", " rings.append(cur_ring)\n", "\n", @@ -747,7 +744,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 25, "metadata": { "id": "KAqeuKY2j19E" }, @@ -759,7 +756,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 26, "metadata": { "id": "LZWflaDwla6d" }, @@ -772,7 +769,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 27, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -785,33 +782,31 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 31, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "assembly_universe.plot(width=(42, 42), color_by='material', colors={helium: (0.99, 0, 0.27), graphite: (0.08, 0.09, 0.26), b4c: (1, 0.85, 0.1)})" + "assembly_universe.plot(width=(42, 42), color_by='material', colors={helium: (252, 0, 69), graphite: (20, 23, 66), b4c: (1, 217, 26)})" ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 28, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -828,7 +823,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 29, "metadata": { "id": "RUFinDv9-4AH" }, @@ -852,6 +847,13 @@ "\n", "settings_file.export_to_xml()" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -861,7 +863,7 @@ "provenance": [] }, "kernelspec": { - "display_name": "Python 3", + "display_name": "openmc-env", "language": "python", "name": "python3" }, @@ -875,7 +877,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.0" + "version": "3.11.6" } }, "nbformat": 4, diff --git a/VVER/VVER.ipynb b/VVER/VVER.ipynb index c312733..9f57442 100644 --- a/VVER/VVER.ipynb +++ b/VVER/VVER.ipynb @@ -20,8 +20,17 @@ "metadata": { "id": "BpmPdBBHTz2E" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "env: OPENMC_CROSS_SECTIONS=/opt/xdata/endfb-vii.1-hdf5/cross_sections.xml\n" + ] + } + ], "source": [ + "%env OPENMC_CROSS_SECTIONS /opt/xdata/endfb-vii.1-hdf5/cross_sections.xml\n", "%matplotlib inline\n", "import openmc" ] @@ -139,7 +148,7 @@ "# Boudries and outer universe\n", "all_water_out=openmc.Cell(cell_id=200, fill=water)\n", "\n", - "# Top & bottom of the assembly \n", + "# Top & bottom of the assembly\n", "assembly_z0 = openmc.ZPlane(surface_id=300, z0=-75)\n", "assembly_z1 = openmc.ZPlane(surface_id=301, z0=75)\n", "assembly = openmc.model.hexagonal_prism(edge_length=18, orientation='y')\n", @@ -160,7 +169,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": { "id": "ku5Yp2wzyXTg" }, @@ -187,7 +196,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -205,7 +214,7 @@ "fuel_region1 = -fuel_or1 & -assembly_z1 & +assembly_z0\n", "clad_region1 = +fuel_or1 & -clad_or1 & -assembly_z1 & +assembly_z0\n", "\n", - "moderator_region1 = +clad_or1 & -assembly_z1 & +assembly_z0 \n", + "moderator_region1 = +clad_or1 & -assembly_z1 & +assembly_z0\n", "\n", "fuel_cell1 = openmc.Cell(cell_id=400, fill=water, region=fuel_region1)\n", "clad_cell1 = openmc.Cell(cell_id=401, fill=alloy, region=clad_region1)\n", @@ -216,7 +225,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -237,7 +246,7 @@ "gap_region2 = +fuel_or2 & -clad_ir2 & -assembly_z1 & +assembly_z0\n", "clad_region2 = +clad_ir2 & -clad_or2 & -assembly_z1 & +assembly_z0\n", "\n", - "moderator_region2 = +clad_or2 & -assembly_z1 & +assembly_z0 \n", + "moderator_region2 = +clad_or2 & -assembly_z1 & +assembly_z0\n", "\n", "fuel_cell2 = openmc.Cell(cell_id=410, fill=au13, region=fuel_region2)\n", "gap_cell2 = openmc.Cell(cell_id=411, fill=helium, region=gap_region2)\n", @@ -249,7 +258,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": { "id": "zVCVJ9IHahot" }, @@ -265,7 +274,7 @@ "gap_region3 = +fuel_or3 & -clad_ir3 & -assembly_z1 & +assembly_z0\n", "clad_region3 = +clad_ir3 & -clad_or3 & -assembly_z1 & +assembly_z0\n", "\n", - "moderator_region3 = +clad_or3 & -assembly_z1 & +assembly_z0 \n", + "moderator_region3 = +clad_or3 & -assembly_z1 & +assembly_z0\n", "\n", "fuel_cell3 = openmc.Cell(cell_id=420, fill=au22, region=fuel_region3)\n", "gap_cell3 = openmc.Cell(cell_id=421, fill=helium, region=gap_region3)\n", @@ -277,7 +286,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 10, "metadata": { "id": "3MlM4EUuahu9" }, @@ -293,7 +302,7 @@ "gap_region4 = +fuel_or4 & -clad_ir4 & -assembly_z1 & +assembly_z0\n", "clad_region4 = +clad_ir4 & -clad_or4 & -assembly_z1 & +assembly_z0\n", "\n", - "moderator_region4 = +clad_or4 & -assembly_z1 & +assembly_z0 \n", + "moderator_region4 = +clad_or4 & -assembly_z1 & +assembly_z0\n", "\n", "fuel_cell4 = openmc.Cell(cell_id=430, fill=av5, region=fuel_region4)\n", "gap_cell4 = openmc.Cell(cell_id=431, fill=helium, region=gap_region4)\n", @@ -305,32 +314,11 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 11, "metadata": { "id": "Ks9nRXR4ah45" }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/miriamrathbun/codes/openmc-mak/openmc/mixin.py:68: IDWarning: Another Surface instance already exists with id=440.\n", - " warn(msg, IDWarning)\n", - "/Users/miriamrathbun/codes/openmc-mak/openmc/mixin.py:68: IDWarning: Another Surface instance already exists with id=441.\n", - " warn(msg, IDWarning)\n", - "/Users/miriamrathbun/codes/openmc-mak/openmc/mixin.py:68: IDWarning: Another Surface instance already exists with id=442.\n", - " warn(msg, IDWarning)\n", - "/Users/miriamrathbun/codes/openmc-mak/openmc/mixin.py:68: IDWarning: Another Cell instance already exists with id=440.\n", - " warn(msg, IDWarning)\n", - "/Users/miriamrathbun/codes/openmc-mak/openmc/mixin.py:68: IDWarning: Another Cell instance already exists with id=441.\n", - " warn(msg, IDWarning)\n", - "/Users/miriamrathbun/codes/openmc-mak/openmc/mixin.py:68: IDWarning: Another Cell instance already exists with id=442.\n", - " warn(msg, IDWarning)\n", - "/Users/miriamrathbun/codes/openmc-mak/openmc/mixin.py:68: IDWarning: Another Cell instance already exists with id=443.\n", - " warn(msg, IDWarning)\n" - ] - } - ], + "outputs": [], "source": [ "# Geometry of awu rod\n", "\n", @@ -342,7 +330,7 @@ "gap_region5 = +fuel_or5 & -clad_ir5 & -assembly_z1 & +assembly_z0\n", "clad_region5 = +clad_ir5 & -clad_or5 & -assembly_z1 & +assembly_z0\n", "\n", - "moderator_region5 = +clad_or5 & -assembly_z1 & +assembly_z0 \n", + "moderator_region5 = +clad_or5 & -assembly_z1 & +assembly_z0\n", "\n", "fuel_cell5 = openmc.Cell(cell_id=440, fill=fuel_awu, region=fuel_region5)\n", "gap_cell5 = openmc.Cell(cell_id=441, fill=helium, region=gap_region5)\n", @@ -354,32 +342,11 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 12, "metadata": { "id": "NV8O7-cZaiuX" }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/miriamrathbun/codes/openmc-mak/openmc/mixin.py:68: IDWarning: Another Surface instance already exists with id=450.\n", - " warn(msg, IDWarning)\n", - "/Users/miriamrathbun/codes/openmc-mak/openmc/mixin.py:68: IDWarning: Another Surface instance already exists with id=451.\n", - " warn(msg, IDWarning)\n", - "/Users/miriamrathbun/codes/openmc-mak/openmc/mixin.py:68: IDWarning: Another Surface instance already exists with id=452.\n", - " warn(msg, IDWarning)\n", - "/Users/miriamrathbun/codes/openmc-mak/openmc/mixin.py:68: IDWarning: Another Cell instance already exists with id=450.\n", - " warn(msg, IDWarning)\n", - "/Users/miriamrathbun/codes/openmc-mak/openmc/mixin.py:68: IDWarning: Another Cell instance already exists with id=451.\n", - " warn(msg, IDWarning)\n", - "/Users/miriamrathbun/codes/openmc-mak/openmc/mixin.py:68: IDWarning: Another Cell instance already exists with id=452.\n", - " warn(msg, IDWarning)\n", - "/Users/miriamrathbun/codes/openmc-mak/openmc/mixin.py:68: IDWarning: Another Cell instance already exists with id=453.\n", - " warn(msg, IDWarning)\n" - ] - } - ], + "outputs": [], "source": [ "# Geometry of go rod\n", "\n", @@ -391,7 +358,7 @@ "gap_region6 = +fuel_or6 & -clad_ir6 & -assembly_z1 & +assembly_z0\n", "clad_region6 = +clad_ir6 & -clad_or6 & -assembly_z1 & +assembly_z0\n", "\n", - "moderator_region6 = +clad_or6 & -assembly_z1 & +assembly_z0 \n", + "moderator_region6 = +clad_or6 & -assembly_z1 & +assembly_z0\n", "\n", "fuel_cell6 = openmc.Cell(cell_id=450, fill=fuel_go, region=fuel_region6)\n", "gap_cell6 = openmc.Cell(cell_id=451, fill=helium, region=gap_region6)\n", @@ -403,7 +370,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 13, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -423,7 +390,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 14, "metadata": { "id": "0wD6nzv-aihX" }, @@ -454,7 +421,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 15, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -467,23 +434,21 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 20, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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XeMWypY35rWNF9ioMabNEHnzyrrXctkiwZmqK2CraZukYQdzBQ6Avswkich1aKWYnAFwGcA7AEefca/r743UGefgkxFYyjzxbWgpxQI/G59kLTTTis+XTOYTaqqpcgD0bYjk1H5rzBMpJm+OjP3LkewC84Zz7tXPuzwCeAXB/zefsG1XKXi1HAFCOrOFrE19bmvaYHblyPgbgzdT/l9vHthGRORE5LyLngbdrLg4hxKLvAUTn3KJzbrzVbbmp38XpipB8AHn41twPS0KVEHxtEpK/YNue8V1W+R3HRt2ioysAbk39v6d9rHHkBYlWR7aAzV2YQGcwbHVk55JjLRiWDpgltnZDDyDiB35b2THt6sgWVisKIK6ObFUWQFwd2cJRI4BotZkvUHr1qT+qsRYroOqztTy6BEx3xoCsgGpecLkJ1B1A/CBaAcRDaDmBcwD+2Tn3qv7+OAOIWUeQMHfqQGP3PdTsVbnvoSVH9iVBsWwBdnAwVNoMVL+/o5bvMG6H0Ac5snPuXRH5IoAVtKYWn7IcQcxMbcxgEZ3688UHznY8EfMuACswFvO+h1XKkS985TQmNjt7Gz58Uumq6xkqRz5hSNU1W7FT+9oE59yPAPyo7vPUSZXZkclwwOzIhJDGQmdQAC0LMtCKGYTKYZu672FVcmTrXLHUM9SWtW7FypocM8xnUJBsEHHu1IGukpsUeV/R5CZVJweJNblJ0b0WiyQ3KbNvo1a2JD6SHhbEHTwEmNykIpKLxJpGK5r2O88WAFOqa2VHtuTAoclB8mxVue9hVeUC7OzImhNNbGnHATuFuzZ1m2crPpgduRJWR/T9BQGoF09ZW5YjAGzprWWrjBy5V8lGLKwy+9ZFWFhtWea7tI77bDUFOgNCCAA6g2jxyV4pR+7Em/NggCXEVcIciAVJYgIJmkx3VhkDn7xrzRxfWluFWdJmoD3+/ZJdtpDltVbZfNuOrY5s2durjejKQl89Txpjc428eh6d/Yk6JLDG+L56zh6aH+Dt1XQYQCxAVnueYCU4ydsPMESm2+t9D4vmYyhST+3G9CUu6WU9Q+TIefXUpOpxJzjhbEJpLP05AJy/+M0gW2Wi8b2yVWWikaoTqsTYZgAwtr/jngKgr1uJB84mlMYnLR2WRCMh9cx2m5tClQlVmihhpzMoQJXZkYchmFf2M/2myjIzO/KAEiqtBcJ7DD5isOWTEBd5bxFiqGeIrVBpc+wwZlAQLW6gBRA1CXE3ct707MTsoXkA5fdaLCLBzSZ1tcpfVEKclQbXuT+lJiHuZq9LrfxawDIbQIw7XgAwgFgBvqQZPgmxdUNZtpLXiyZBKZtoBGjuvoeaPUtCnCcH12xZAdA8abP2Wnxwr8WuyfuSfRLiEFu+G05LglIkocow7Ht42LB1/MwxzAbW0/ouF47fq27xHr8DyIcxA0IIADqDSqlS9prEB9TzUI7cga9NfG1p2mN2ZOLDN2b1SYjzxquaLSuC3doncKawLR+ahDhrT+1aG+P80HF5GTmy73wn71rzrioMsbU8uqR+l77ly5atpsAAYgFCJKfpwJO1FZcmh82bTbDW0WsS4m72d9TWVpTZ9zCknnn7HpapZ2Kv6GyCTw6enLfIPosJlCN3SazOYGF93lSUXVwLK2+sEuIyiUby7MVaT8qRKUcujU9aSjlyJ5QjU45MCGkwDCAWYO8LF+0dlUY6hwm+oNny6FLHtmnWe/NshZIbADUCg6FBsySYWrSeVQfg8oKW1u5MrRkMW9Cl2bKGkHtfuIiLI4EF7zPsGXSBlVp796PXY/ej16vd69WRLXUj0CRzcKgtbaqrtVehvi4/bS+LNgXnS4BSVT2L2CpbT60rr5Vh3+PTpq3jZ47h+Jljqq0mTttaMIAYQFnZb57kN8RWmb0KQ2xl7WlP6Zj3Paxyr0gtoFpGJh0fnE2olaqj59puwmXtWTdJ2bL1ItGI5ajK2gpNRWatmQDKza7EBWcTGoV185Jw2JbFoDOIFG28nUA5cie+NvG1JbkGnUFBJjZ3YWF9HmP7xzG2f1wdJ4YEphbW5/Hyk5N4+clJ1ZZ1M2TPkSQYWVifx8MP7lETjlg3irmGv122hfX5woHBvHpatrQ208qc1OvS6aVtW1l7li1rNiRpf61ss4fm29JvdBzXbCXXhWarKdAZFGRqY2bHFNKlg2OFbhTrpk5LaxeO31voRrEu9t2PXr/dFfaN5/PIym+1TMmAXqe8ek6c/lVh8ZJV1iSgd/il/aZaUmuzvFwFWj01h2zNrKSnnRcfONtIwRXAAGIhLP05YMuRtTwByfFQaa3PVpX7HpYpF2DrI6qsZ5V7RVZVLsCWIzdxbQJ7BgWwHAEQnh+vqfseavVcHdH3FywrR46hniG2fL0c3zUTK3QGhBAANToDEfmGiFwRkZ+1fz5T17nqZu8LF9Xjc6cOmE9G66kRmmk5sVVFUMpny/cktebofbaaWk+fPc2WlRLdumZipraYgYh8A8D/OeceL/6ZOGMGgL6MWRsXZt+Xl/MgQRuvZhN8dpsdOS8LcTaAaJWriC2tnlZ25CrLD+zMjmzlYyjS/tlYkbYsWYsnxb18GWBC1C5ZHl3C3KmZHf9rF89i5sLQEnsCrYsvbw+/bILP42eOdawfWB3Z2jFGt2xpAbhs2ZIFRpi+ZktDG1uXraeWrDVZU5Bd/DSbU08AHfW0Esge3ezc3zFN0qaLuObYFx84q5YrGyPRFjw1gbp7BjMANtF63B91zr3j/0y8PYM8fDMOoZHl5OKyUnjtbd+sIfaqSlxSta0qE41YEmIre5IPa5YAiH2moAg1zCaIyPMi8orycz+A7wD4KwCfAvAWgAXDxpyInBeR88Db3RRnoPDlBRyWhCoh+NqkaI7FYacrZ+Ccu8859zfKz7POud87595zzr0P4LsA7jFsLDrnxlue6qZuijNQaOq3sgyDHNlHlW05yNQ5m3BL6t9pAK/Uda4YWB3ZMiPIpvhlfd6U6Vo3gxWoS+yF9BosRZ3Plq977KunJZMOWTeQZ8tKiW7FUaz2B+zZgOYPEWzqjBn8N1pDBAdgHcDnnXNv+T/T3JhBwnbg6YGz2xdU9uLRxqPWrEMSO6gya7Blq2g+hmzUXpvlAPS8B9ZMQbJk21puXHU937n7yx1lO3/xm2o9Lx0cw9ypA8Fxh3hhPoOe4UvoESptzrMVIq3NSzRiJS0pmxykyv0dq6zn+Nhjqi1tI908W82EU4s9w3fRZKer0mga+F5JdCc2dwHGzTu1MQMoU2o+WzHv76j1CoDw/R0HDcqRCSEA6Ax6TlMj+yFPyDw5cqw0scxVQmfQYyw9uxVAHB97bPtHG6dr24Ob0trTS9s/2Sh6kj8hG933JS15+ME9ePjBPYWToOx7fLoj/pDYSpet23omiUasJDQ3nHuiw9aRlY2hGhJoMIDYJ4oE4LSx7ZGVjVLZkS3VoKZmzAvmhagG8wJwlmqwTBZi3x4GobYGGwYQo6JskOvE5Kiqj/fhU/P1O5gHw0mFBvO0dSEJSVaqkDYbRjhMIIQAoDMghLShM4gQK8gF6IGudDIPTVo7KIlGfPXMSzTCYUE+DCBGTDZ2YCnksopGK2CWTfqhJRrJJjfxSX6TjMxFJcRWcpPscm0reJiNoxRpDzoCDcqRB46qcyiEZg3ulT1fQFVzCCQPZkcmJSm630FCNvMPaQZ0BoQQANQZkAKUkSNjcxcmoA8TSJywZ9BgrAi6lsI9kf2Ojz1myoc1yW/yWtZWWt5sRfc1LAlxso+lVbYjKxsdtighrhYGEAeA5OaZ2pgJSubhkzZbtgBbQmxJmxNbQPcSYp8tUhTOJgwtVUbjq86OXNVsCAmBswlDSxMj+00sc9OhMyCEAKAzGAoGRY5M6oXOYAiw1jpkj20nGjk4tv1TNCW5JSFO29JmCrSU5IwX9AcGEIeIvEQj1pZi1s2Z2LNeqyoLNKkaJjcZevKSg1g3r5Yd2Wdve++IPmWBJuXgMIEQAoDOgBSgTDCPAcDmQWdAAPiTgySvp8nbK9JCk0qTOGAAkewgvVektb+gJiGeO3XATILis0X6AeXIpAIoIR4EKEcmhHigMyCEAKAzIIS0oTMgQayObFFCPKBQgUiCWR3ZGvK9CgcTOgNSCt78gweHCYQQAF06AxE5LCKvisj7IjKeee1rIvKGiFwUkcnuikkIqZtuhwmvAPgcgP9MHxSROwE8BOATAP4CwPMicodz7r0uz0cIqYmuegbOuV845zpDy8D9AJ5xzv3JOfcbAG8AuKebcxFC6qWumMHHALyZ+v9y+1gHIjInIudF5Dzwdk3FIYTkkTtMEJHnAXxUeenrzrlnuy2Ac24RwGLrXOPxLJQgZMjIdQbOuftK2L0C4NbU/3vaxwghkVLXMOE5AA+JyIdF5OMAbgfw05rORQipgG6nFqdF5DKAAwB+KCIrAOCcexXA9wG8BmAZwBc4k0BI3DCfASFDB/MZEEI8ROUMPnn7a/0uAiEDzZvL+8zXoluolBT21qkLfS4JIYODzwkkROcMEugUCOmeIk4gIaphAiGkf0TbM0hIezb2EgjJJ6Q3kKZRPYOylSRkWOjmHom+Z5CFsQRCOqniQdk4Z5BAp0BItb3lxjqDBDoFMozUMWSOKmbwoZE7S3+W8QQyLHRzre+ZtB+a0fUMksJeXgmvMHsJZJCpywkkROcMEugUCGlRtxNIiNYZJNApkGGlV04gIaqYgY89kxdKVRBgPIE0j7LXbDf3SfQ9gyx7Ji901UsA2FMgcdLtQ6usE0iILLmJvA3gtzWYvhHAH2qwWwdNKivQrPI2qaxAfeX9S+fcTdmDUTmDuhCR81pmlxhpUlmBZpW3SWUFel/exsQMCCH1QmdACAEwPM5gsd8FCKBJZQWaVd4mlRXocXmHImZACMlnWHoGhJAc6AwIIQAG3BmIyGEReVVE3heR8cxrXxORN0TkoohM9quMGiLyDRG5IiI/a/98pt9lyiIiU+22e0NEvtrv8uQhIusi8vN2e0a3U4+IPCUiV0XkldSxURFZFZHX279vqLMMA+0MALwC4HMAXkwfFJE7ATwE4BMApgD8h4hc1/vieXnSOfep9s+P+l2YNO22+ncA/wjgTgBH2m0aOwfb7Rmj1mAJrWsxzVcBnHHO3Q7gTPv/2hhoZ+Cc+4Vz7qLy0v0AnnHO/ck59xsAbwC4p7elazT3AHjDOfdr59yfATyDVpuSkjjnXgSwkTl8P4Cn238/DeCzdZZhoJ2Bh48BeDP1/+X2sZj4ooi83O4+1to9LEET2i+LA/BjEVkTkbl+F6YgNzvn3mr//TsAN9d5ssYtVMoiIs8D+Kjy0tedc8/2ujxF8ZUbwHcAfAutC/hbABYAPNq70g0kn3bOXRGR3QBWReSX7adxI3DOORGpVQfQeGfgnLuvxMeuALg19f+e9rGeUbTcIvJdAP9bc3FC6Xv7heKcu9L+fVVETqM11IndGfxeRG5xzr0lIrcAuFrnyYZ1mPAcgIdE5MMi8nEAtwP4aZ/LtE37i0+YRisQGhPnANwuIh8XkQ+hFYx9rs9lMhGRj4jIruRvAP+A+NpU4zkAj7T/fgRArT3dxvcMfIjINIBjAG4C8EMR+ZlzbtI596qIfB/AawDeBfAF59x7/Sxrhn8VkU+hNUxYB/D5vpYmg3PuXRH5IoAVANcBeMo592qfi+XjZgCnRQRoXfPfc84t97dIOxGREwD+HsCNInIZwGMAvg3g+yIyi9bS/n+qtQyUIxNCgOEdJhBCMtAZEEIA0BkQQtrQGRBCANAZEELa0BkQQgDQGRBC2vw/IxWwGDUNDtoAAAAASUVORK5CYII=\n", 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -499,7 +464,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 16, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -512,23 +477,21 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 21, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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"text/plain": [ - "
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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -538,7 +501,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 17, "metadata": { "id": "EzaW9J5l8vRP" }, @@ -563,14 +526,15 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 18, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "mzhyBvEOaiR8", - "outputId": "bb783e58-6ac3-4193-e64a-818bf9c0fa6d" + "outputId": "bb783e58-6ac3-4193-e64a-818bf9c0fa6d", + "scrolled": true }, "outputs": [ { @@ -601,210 +565,181 @@ " ######## %%%%%%%%%%%%%%\n", " %%%%%%%%%%%\n", "\n", - " | The OpenMC Monte Carlo Code\n", - " Copyright | 2011-2020 MIT and OpenMC contributors\n", - " License | https://docs.openmc.org/en/latest/license.html\n", - " Version | 0.12.1-dev\n", - " Git SHA1 | 0228ddba1d6399e654a295e51539590f076b2a3c\n", - " Date/Time | 2021-04-12 10:35:09\n", - " OpenMP Threads | 8\n", + " | The OpenMC Monte Carlo Code\n", + " Copyright | 2011-2023 MIT, UChicago Argonne LLC, and contributors\n", + " License | https://docs.openmc.org/en/latest/license.html\n", + " Version | 0.13.3\n", + " Git SHA1 | 50e39a4e20dc9e0f3d7ccf07333f6a5e6c797c8c\n", + " Date/Time | 2023-10-19 23:09:50\n", + " OpenMP Threads | 8\n", "\n", " Reading settings XML file...\n", " Reading cross sections XML file...\n", " Reading materials XML file...\n", " Reading geometry XML file...\n", - " Reading U234 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/U234.h5\n", - " Reading U235 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/U235.h5\n", - " Reading U238 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/U238.h5\n", - " Reading U236 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/U236.h5\n", - " Reading O16 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/O16.h5\n", - " Reading O17 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/O17.h5\n", - " Reading H1 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/H1.h5\n", - " Reading He3 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/He3.h5\n", - " Reading He4 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/He4.h5\n", - " Reading Be9 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Be9.h5\n", - " Reading Nb93 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Nb93.h5\n", - " Reading Zr90 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Zr90.h5\n", - " Reading Zr91 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Zr91.h5\n", - " Reading Zr92 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Zr92.h5\n", - " Reading Zr94 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Zr94.h5\n", - " Reading Zr96 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Zr96.h5\n", - " Reading Gd152 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Gd152.h5\n", - " Reading Gd154 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Gd154.h5\n", - " Reading Gd155 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Gd155.h5\n", - " Reading Gd156 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Gd156.h5\n", - " Reading Gd157 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Gd157.h5\n", - " Reading Gd158 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Gd158.h5\n", - " Reading Gd160 from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/Gd160.h5\n", - " Reading c_H_in_H2O from\n", - " /Users/miriamrathbun/codes/openmc/nucleardata/endfb71_hdf5/c_H_in_H2O.h5\n", - " Minimum neutron data temperature: 294.0 K\n", - " Maximum neutron data temperature: 294.0 K\n", + " Reading U234 from /opt/xdata/endfb-vii.1-hdf5/neutron/U234.h5\n", + " Reading U235 from /opt/xdata/endfb-vii.1-hdf5/neutron/U235.h5\n", + " Reading U238 from /opt/xdata/endfb-vii.1-hdf5/neutron/U238.h5\n", + " Reading U236 from /opt/xdata/endfb-vii.1-hdf5/neutron/U236.h5\n", + " Reading O16 from /opt/xdata/endfb-vii.1-hdf5/neutron/O16.h5\n", + " Reading O17 from /opt/xdata/endfb-vii.1-hdf5/neutron/O17.h5\n", + " Reading H1 from /opt/xdata/endfb-vii.1-hdf5/neutron/H1.h5\n", + " Reading He3 from /opt/xdata/endfb-vii.1-hdf5/neutron/He3.h5\n", + " Reading He4 from /opt/xdata/endfb-vii.1-hdf5/neutron/He4.h5\n", + " Reading Be9 from /opt/xdata/endfb-vii.1-hdf5/neutron/Be9.h5\n", + " Reading Nb93 from /opt/xdata/endfb-vii.1-hdf5/neutron/Nb93.h5\n", + " Reading Zr90 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr90.h5\n", + " Reading Zr91 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr91.h5\n", + " Reading Zr92 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr92.h5\n", + " Reading Zr94 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr94.h5\n", + " Reading Zr96 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr96.h5\n", + " Reading Gd152 from /opt/xdata/endfb-vii.1-hdf5/neutron/Gd152.h5\n", + " Reading Gd154 from /opt/xdata/endfb-vii.1-hdf5/neutron/Gd154.h5\n", + " Reading Gd155 from /opt/xdata/endfb-vii.1-hdf5/neutron/Gd155.h5\n", + " Reading Gd156 from /opt/xdata/endfb-vii.1-hdf5/neutron/Gd156.h5\n", + " Reading Gd157 from /opt/xdata/endfb-vii.1-hdf5/neutron/Gd157.h5\n", + " Reading Gd158 from /opt/xdata/endfb-vii.1-hdf5/neutron/Gd158.h5\n", + " Reading Gd160 from /opt/xdata/endfb-vii.1-hdf5/neutron/Gd160.h5\n", + " Reading c_H_in_H2O from /opt/xdata/endfb-vii.1-hdf5/neutron/c_H_in_H2O.h5\n", + " Minimum neutron data temperature: 294 K\n", + " Maximum neutron data temperature: 294 K\n", " Preparing distributed cell instances...\n", + " Reading plot XML file...\n", " Writing summary.h5 file...\n", - " Maximum neutron transport energy: 20000000.0 eV for U235\n", + " Maximum neutron transport energy: 20000000 eV for U235\n", " Initializing source particles...\n", "\n", " ====================> K EIGENVALUE SIMULATION <====================\n", "\n", " Bat./Gen. k Average k\n", " ========= ======== ====================\n", - " 1/1 0.32731\n", - " 2/1 0.36782\n", - " 3/1 0.36363\n", - " 4/1 0.38721\n", - " 5/1 0.36266\n", - " 6/1 0.35733\n", - " 7/1 0.34599\n", - " 8/1 0.35970\n", - " 9/1 0.34754\n", - " 10/1 0.36502\n", - " 11/1 0.36282\n", - " 12/1 0.37708 0.36995 +/- 0.00713\n", - " 13/1 0.35447 0.36479 +/- 0.00660\n", - " 14/1 0.35739 0.36294 +/- 0.00502\n", - " 15/1 0.36162 0.36268 +/- 0.00390\n", - " 16/1 0.37096 0.36406 +/- 0.00347\n", - " 17/1 0.36046 0.36354 +/- 0.00298\n", - " 18/1 0.35110 0.36199 +/- 0.00301\n", - " 19/1 0.36965 0.36284 +/- 0.00279\n", - " 20/1 0.36503 0.36306 +/- 0.00250\n", - " 21/1 0.36692 0.36341 +/- 0.00229\n", - " 22/1 0.37157 0.36409 +/- 0.00220\n", - " 23/1 0.35954 0.36374 +/- 0.00205\n", - " 24/1 0.36843 0.36407 +/- 0.00193\n", - " 25/1 0.37429 0.36476 +/- 0.00192\n", - " 26/1 0.35738 0.36429 +/- 0.00186\n", - " 27/1 0.35847 0.36395 +/- 0.00178\n", - " 28/1 0.36363 0.36393 +/- 0.00168\n", - " 29/1 0.34334 0.36285 +/- 0.00192\n", - " 30/1 0.35107 0.36226 +/- 0.00191\n", - " 31/1 0.37232 0.36274 +/- 0.00188\n", - " 32/1 0.35593 0.36243 +/- 0.00182\n", - " 33/1 0.33948 0.36143 +/- 0.00201\n", - " 34/1 0.35854 0.36131 +/- 0.00192\n", - " 35/1 0.36516 0.36147 +/- 0.00185\n", - " 36/1 0.34700 0.36091 +/- 0.00186\n", - " 37/1 0.36810 0.36118 +/- 0.00181\n", - " 38/1 0.35695 0.36102 +/- 0.00175\n", - " 39/1 0.36776 0.36126 +/- 0.00171\n", - " 40/1 0.35303 0.36098 +/- 0.00167\n", - " 41/1 0.35764 0.36088 +/- 0.00162\n", - " 42/1 0.36321 0.36095 +/- 0.00157\n", - " 43/1 0.35907 0.36089 +/- 0.00153\n", - " 44/1 0.37837 0.36141 +/- 0.00157\n", - " 45/1 0.34815 0.36103 +/- 0.00157\n", - " 46/1 0.36897 0.36125 +/- 0.00154\n", - " 47/1 0.37862 0.36172 +/- 0.00157\n", - " 48/1 0.37571 0.36208 +/- 0.00157\n", - " 49/1 0.35559 0.36192 +/- 0.00154\n", - " 50/1 0.35851 0.36183 +/- 0.00150\n", - " 51/1 0.36326 0.36187 +/- 0.00147\n", - " 52/1 0.36563 0.36196 +/- 0.00143\n", - " 53/1 0.34442 0.36155 +/- 0.00146\n", - " 54/1 0.34858 0.36125 +/- 0.00145\n", - " 55/1 0.37772 0.36162 +/- 0.00147\n", - " 56/1 0.36296 0.36165 +/- 0.00144\n", - " 57/1 0.36482 0.36172 +/- 0.00141\n", - " 58/1 0.34370 0.36134 +/- 0.00143\n", - " 59/1 0.36959 0.36151 +/- 0.00141\n", - " 60/1 0.35648 0.36141 +/- 0.00138\n", - " 61/1 0.36666 0.36151 +/- 0.00136\n", - " 62/1 0.37184 0.36171 +/- 0.00135\n", - " 63/1 0.38048 0.36207 +/- 0.00137\n", - " 64/1 0.36500 0.36212 +/- 0.00134\n", - " 65/1 0.37043 0.36227 +/- 0.00133\n", - " 66/1 0.37493 0.36250 +/- 0.00132\n", - " 67/1 0.35683 0.36240 +/- 0.00130\n", - " 68/1 0.35266 0.36223 +/- 0.00129\n", - " 69/1 0.39498 0.36278 +/- 0.00139\n", - " 70/1 0.35308 0.36262 +/- 0.00137\n", - " 71/1 0.37292 0.36279 +/- 0.00136\n", - " 72/1 0.34912 0.36257 +/- 0.00136\n", - " 73/1 0.35564 0.36246 +/- 0.00134\n", - " 74/1 0.37878 0.36272 +/- 0.00134\n", - " 75/1 0.35663 0.36262 +/- 0.00133\n", - " 76/1 0.38357 0.36294 +/- 0.00134\n", - " 77/1 0.36621 0.36299 +/- 0.00132\n", - " 78/1 0.38089 0.36325 +/- 0.00133\n", - " 79/1 0.36460 0.36327 +/- 0.00131\n", - " 80/1 0.39157 0.36368 +/- 0.00135\n", - " 81/1 0.37191 0.36379 +/- 0.00134\n", - " 82/1 0.35763 0.36371 +/- 0.00132\n", - " 83/1 0.35565 0.36360 +/- 0.00131\n", - " 84/1 0.36902 0.36367 +/- 0.00129\n", - " 85/1 0.36607 0.36370 +/- 0.00128\n", - " 86/1 0.35523 0.36359 +/- 0.00127\n", - " 87/1 0.38251 0.36384 +/- 0.00127\n", - " 88/1 0.36575 0.36386 +/- 0.00126\n", - " 89/1 0.35643 0.36377 +/- 0.00124\n", - " 90/1 0.36464 0.36378 +/- 0.00123\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 91/1 0.36379 0.36378 +/- 0.00121\n", - " 92/1 0.37030 0.36386 +/- 0.00120\n", - " 93/1 0.36556 0.36388 +/- 0.00119\n", - " 94/1 0.39963 0.36430 +/- 0.00125\n", - " 95/1 0.37369 0.36441 +/- 0.00124\n", - " 96/1 0.37141 0.36449 +/- 0.00123\n", - " 97/1 0.36872 0.36454 +/- 0.00121\n", - " 98/1 0.37599 0.36467 +/- 0.00121\n", - " 99/1 0.38600 0.36491 +/- 0.00122\n", - " 100/1 0.36745 0.36494 +/- 0.00120\n", + " 1/1 0.35173\n", + " 2/1 0.36502\n", + " 3/1 0.35491\n", + " 4/1 0.34318\n", + " 5/1 0.35631\n", + " 6/1 0.35746\n", + " 7/1 0.37786\n", + " 8/1 0.36374\n", + " 9/1 0.36288\n", + " 10/1 0.34724\n", + " 11/1 0.37842\n", + " 12/1 0.35686 0.36764 +/- 0.01078\n", + " 13/1 0.36586 0.36705 +/- 0.00625\n", + " 14/1 0.38163 0.37069 +/- 0.00573\n", + " 15/1 0.36379 0.36931 +/- 0.00465\n", + " 16/1 0.34746 0.36567 +/- 0.00526\n", + " 17/1 0.35918 0.36474 +/- 0.00454\n", + " 18/1 0.35803 0.36390 +/- 0.00402\n", + " 19/1 0.36753 0.36431 +/- 0.00357\n", + " 20/1 0.35781 0.36366 +/- 0.00326\n", + " 21/1 0.36606 0.36388 +/- 0.00296\n", + " 22/1 0.36306 0.36381 +/- 0.00270\n", + " 23/1 0.36629 0.36400 +/- 0.00249\n", + " 24/1 0.35725 0.36352 +/- 0.00235\n", + " 25/1 0.37796 0.36448 +/- 0.00239\n", + " 26/1 0.36084 0.36425 +/- 0.00225\n", + " 27/1 0.37946 0.36515 +/- 0.00230\n", + " 28/1 0.34939 0.36427 +/- 0.00234\n", + " 29/1 0.36121 0.36411 +/- 0.00221\n", + " 30/1 0.35101 0.36346 +/- 0.00220\n", + " 31/1 0.37968 0.36423 +/- 0.00223\n", + " 32/1 0.35858 0.36397 +/- 0.00214\n", + " 33/1 0.35719 0.36368 +/- 0.00207\n", + " 34/1 0.34793 0.36302 +/- 0.00209\n", + " 35/1 0.37562 0.36352 +/- 0.00206\n", + " 36/1 0.36099 0.36343 +/- 0.00199\n", + " 37/1 0.36407 0.36345 +/- 0.00191\n", + " 38/1 0.35250 0.36306 +/- 0.00188\n", + " 39/1 0.35385 0.36274 +/- 0.00184\n", + " 40/1 0.35097 0.36235 +/- 0.00182\n", + " 41/1 0.37230 0.36267 +/- 0.00179\n", + " 42/1 0.37930 0.36319 +/- 0.00181\n", + " 43/1 0.37832 0.36365 +/- 0.00182\n", + " 44/1 0.38054 0.36415 +/- 0.00183\n", + " 45/1 0.33760 0.36339 +/- 0.00193\n", + " 46/1 0.37621 0.36374 +/- 0.00191\n", + " 47/1 0.34406 0.36321 +/- 0.00193\n", + " 48/1 0.37653 0.36356 +/- 0.00191\n", + " 49/1 0.36760 0.36366 +/- 0.00187\n", + " 50/1 0.34601 0.36322 +/- 0.00187\n", + " 51/1 0.35455 0.36301 +/- 0.00184\n", + " 52/1 0.36030 0.36295 +/- 0.00180\n", + " 53/1 0.38191 0.36339 +/- 0.00181\n", + " 54/1 0.37583 0.36367 +/- 0.00179\n", + " 55/1 0.36366 0.36367 +/- 0.00175\n", + " 56/1 0.36773 0.36376 +/- 0.00171\n", + " 57/1 0.36002 0.36368 +/- 0.00168\n", + " 58/1 0.36918 0.36379 +/- 0.00165\n", + " 59/1 0.37454 0.36401 +/- 0.00163\n", + " 60/1 0.35955 0.36392 +/- 0.00160\n", + " 61/1 0.36032 0.36385 +/- 0.00157\n", + " 62/1 0.37326 0.36403 +/- 0.00155\n", + " 63/1 0.33858 0.36355 +/- 0.00159\n", + " 64/1 0.36131 0.36351 +/- 0.00156\n", + " 65/1 0.37634 0.36375 +/- 0.00155\n", + " 66/1 0.37050 0.36387 +/- 0.00153\n", + " 67/1 0.37217 0.36401 +/- 0.00151\n", + " 68/1 0.39157 0.36449 +/- 0.00156\n", + " 69/1 0.34974 0.36424 +/- 0.00155\n", + " 70/1 0.35284 0.36405 +/- 0.00154\n", + " 71/1 0.37423 0.36421 +/- 0.00152\n", + " 72/1 0.35912 0.36413 +/- 0.00150\n", + " 73/1 0.35826 0.36404 +/- 0.00148\n", + " 74/1 0.36163 0.36400 +/- 0.00145\n", + " 75/1 0.36171 0.36397 +/- 0.00143\n", + " 76/1 0.37486 0.36413 +/- 0.00142\n", + " 77/1 0.36262 0.36411 +/- 0.00140\n", + " 78/1 0.35207 0.36393 +/- 0.00139\n", + " 79/1 0.36796 0.36399 +/- 0.00137\n", + " 80/1 0.36640 0.36402 +/- 0.00135\n", + " 81/1 0.35683 0.36392 +/- 0.00133\n", + " 82/1 0.38390 0.36420 +/- 0.00135\n", + " 83/1 0.37263 0.36432 +/- 0.00133\n", + " 84/1 0.36042 0.36426 +/- 0.00131\n", + " 85/1 0.36007 0.36421 +/- 0.00130\n", + " 86/1 0.35953 0.36415 +/- 0.00128\n", + " 87/1 0.34086 0.36384 +/- 0.00130\n", + " 88/1 0.35357 0.36371 +/- 0.00129\n", + " 89/1 0.35365 0.36358 +/- 0.00128\n", + " 90/1 0.35128 0.36343 +/- 0.00127\n", + " 91/1 0.36983 0.36351 +/- 0.00126\n", + " 92/1 0.36536 0.36353 +/- 0.00125\n", + " 93/1 0.35105 0.36338 +/- 0.00124\n", + " 94/1 0.35824 0.36332 +/- 0.00123\n", + " 95/1 0.34845 0.36315 +/- 0.00122\n", + " 96/1 0.36683 0.36319 +/- 0.00121\n", + " 97/1 0.38060 0.36339 +/- 0.00121\n", + " 98/1 0.36506 0.36341 +/- 0.00120\n", + " 99/1 0.36553 0.36343 +/- 0.00119\n", + " 100/1 0.36756 0.36348 +/- 0.00117\n", " Creating state point statepoint.100.h5...\n", "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", - " Total time for initialization = 4.6179e+00 seconds\n", - " Reading cross sections = 4.5650e+00 seconds\n", - " Total time in simulation = 1.2380e+01 seconds\n", - " Time in transport only = 1.2340e+01 seconds\n", - " Time in inactive batches = 1.1459e+00 seconds\n", - " Time in active batches = 1.1234e+01 seconds\n", - " Time synchronizing fission bank = 1.6836e-02 seconds\n", - " Sampling source sites = 1.3449e-02 seconds\n", - " SEND/RECV source sites = 3.2980e-03 seconds\n", - " Time accumulating tallies = 1.4600e-04 seconds\n", - " Time writing statepoints = 4.2660e-03 seconds\n", - " Total time for finalization = 5.0000e-06 seconds\n", - " Total time elapsed = 1.7078e+01 seconds\n", - " Calculation Rate (inactive) = 43632.5 particles/second\n", - " Calculation Rate (active) = 40055.6 particles/second\n", + " Total time for initialization = 3.5703e+00 seconds\n", + " Reading cross sections = 3.5247e+00 seconds\n", + " Total time in simulation = 2.2554e+01 seconds\n", + " Time in transport only = 2.2468e+01 seconds\n", + " Time in inactive batches = 2.2849e+00 seconds\n", + " Time in active batches = 2.0269e+01 seconds\n", + " Time synchronizing fission bank = 4.2737e-02 seconds\n", + " Sampling source sites = 3.7079e-02 seconds\n", + " SEND/RECV source sites = 5.6022e-03 seconds\n", + " Time accumulating tallies = 6.3748e-05 seconds\n", + " Time writing statepoints = 5.4034e-03 seconds\n", + " Total time for finalization = 7.5800e-07 seconds\n", + " Total time elapsed = 2.6181e+01 seconds\n", + " Calculation Rate (inactive) = 21882.8 particles/second\n", + " Calculation Rate (active) = 22201.6 particles/second\n", "\n", " ============================> RESULTS <============================\n", "\n", - " k-effective (Collision) = 0.36479 +/- 0.00104\n", - " k-effective (Track-length) = 0.36494 +/- 0.00120\n", - " k-effective (Absorption) = 0.36468 +/- 0.00113\n", - " Combined k-effective = 0.36475 +/- 0.00094\n", - " Leakage Fraction = 0.27198 +/- 0.00064\n", + " k-effective (Collision) = 0.36292 +/- 0.00119\n", + " k-effective (Track-length) = 0.36348 +/- 0.00117\n", + " k-effective (Absorption) = 0.36355 +/- 0.00123\n", + " Combined k-effective = 0.36348 +/- 0.00105\n", + " Leakage Fraction = 0.27374 +/- 0.00060\n", "\n" ] } @@ -834,7 +769,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.0" + "version": "3.11.6" } }, "nbformat": 4, diff --git a/examples/hexagon/hexagonal-lattice.ipynb b/examples/hexagon/hexagonal-lattice.ipynb index 87f2a2a..cb44835 100644 --- a/examples/hexagon/hexagonal-lattice.ipynb +++ b/examples/hexagon/hexagonal-lattice.ipynb @@ -207,8 +207,8 @@ } ], "source": [ - "lattice.universes = [outer_ring, \n", - " ring_1, \n", + "lattice.universes = [outer_ring,\n", + " ring_1,\n", " ring_2,\n", " inner_ring]\n", "print(lattice)" @@ -247,7 +247,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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"text/plain": [ "" ] @@ -291,7 +291,7 @@ "outputs": [ { "data": { - "image/png": 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"text/plain": [ "" ] @@ -362,7 +362,7 @@ "outputs": [ { "data": { - "image/png": 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+ "image/png": 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", "text/plain": [ "" ] @@ -403,7 +403,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.1" + "version": "3.11.6" } }, "nbformat": 4, diff --git a/examples/post_process/post-processing.ipynb b/examples/post_process/post-processing.ipynb index 65d83bc..3d36ff8 100644 --- a/examples/post_process/post-processing.ipynb +++ b/examples/post_process/post-processing.ipynb @@ -236,7 +236,7 @@ "outputs": [ { "data": { - "image/png": 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+ "image/png": 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"text/plain": [ "" ] @@ -343,162 +343,169 @@ " ######## %%%%%%%%%%%%%%\n", " %%%%%%%%%%%\n", "\n", - " | The OpenMC Monte Carlo Code\n", - " Copyright | 2011-2021 MIT and OpenMC contributors\n", - " License | https://docs.openmc.org/en/latest/license.html\n", - " Version | 0.13.0-dev\n", - " Git SHA1 | 3dd81a1316ac3b5a0633e4b7a290f3bc97a066d9\n", - " Date/Time | 2021-06-26 15:28:06\n", - " OpenMP Threads | 2\n", + " | The OpenMC Monte Carlo Code\n", + " Copyright | 2011-2023 MIT, UChicago Argonne LLC, and contributors\n", + " License | https://docs.openmc.org/en/latest/license.html\n", + " Version | 0.13.3\n", + " Git SHA1 | 50e39a4e20dc9e0f3d7ccf07333f6a5e6c797c8c\n", + " Date/Time | 2023-10-31 23:19:21\n", + " OpenMP Threads | 4\n", "\n", " Reading settings XML file...\n", " Reading cross sections XML file...\n", " Reading materials XML file...\n", " Reading geometry XML file...\n", - " Reading U235 from /home/shriwise/opt/openmc/xs/nndc_hdf5/U235.h5\n", - " Reading U238 from /home/shriwise/opt/openmc/xs/nndc_hdf5/U238.h5\n", - " Reading O16 from /home/shriwise/opt/openmc/xs/nndc_hdf5/O16.h5\n", - " Reading H1 from /home/shriwise/opt/openmc/xs/nndc_hdf5/H1.h5\n", - " Reading B10 from /home/shriwise/opt/openmc/xs/nndc_hdf5/B10.h5\n", - " Reading Zr90 from /home/shriwise/opt/openmc/xs/nndc_hdf5/Zr90.h5\n", - " Minimum neutron data temperature: 294.0 K\n", - " Maximum neutron data temperature: 294.0 K\n", + " Reading U235 from /opt/xdata/endfb-vii.1-hdf5/neutron/U235.h5\n", + " Reading U238 from /opt/xdata/endfb-vii.1-hdf5/neutron/U238.h5\n", + " Reading O16 from /opt/xdata/endfb-vii.1-hdf5/neutron/O16.h5\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Reading H1 from /opt/xdata/endfb-vii.1-hdf5/neutron/H1.h5\n", + " Reading B10 from /opt/xdata/endfb-vii.1-hdf5/neutron/B10.h5\n", + " Reading Zr90 from /opt/xdata/endfb-vii.1-hdf5/neutron/Zr90.h5\n", + " Minimum neutron data temperature: 294 K\n", + " Maximum neutron data temperature: 294 K\n", " Reading tallies XML file...\n", " Preparing distributed cell instances...\n", + " Reading plot XML file...\n", " Writing summary.h5 file...\n", - " Maximum neutron transport energy: 20000000.0 eV for U235\n", + " Maximum neutron transport energy: 20000000 eV for U235\n", " Initializing source particles...\n", "\n", " ====================> K EIGENVALUE SIMULATION <====================\n", "\n", " Bat./Gen. k Average k\n", " ========= ======== ====================\n", - " 1/1 1.05252\n", - " 2/1 1.03787\n", - " 3/1 1.01943\n", - " 4/1 1.03989\n", - " 5/1 1.06679\n", - " 6/1 1.03713\n", - " 7/1 1.02400\n", - " 8/1 1.04289\n", - " 9/1 1.05130\n", - " 10/1 1.00878\n", - " 11/1 1.06773\n", - " 12/1 1.03922 1.05347 +/- 0.01426\n", - " 13/1 1.05156 1.05283 +/- 0.00826\n", - " 14/1 1.06049 1.05475 +/- 0.00614\n", - " 15/1 1.01018 1.04583 +/- 0.01010\n", - " 16/1 1.04020 1.04490 +/- 0.00830\n", - " 17/1 1.05579 1.04645 +/- 0.00719\n", - " 18/1 1.01592 1.04264 +/- 0.00730\n", - " 19/1 1.06881 1.04554 +/- 0.00707\n", - " 20/1 1.02985 1.04397 +/- 0.00651\n", - " 21/1 1.01496 1.04134 +/- 0.00645\n", - " 22/1 1.05330 1.04233 +/- 0.00598\n", - " 23/1 1.05170 1.04305 +/- 0.00554\n", - " 24/1 1.02888 1.04204 +/- 0.00523\n", - " 25/1 1.04083 1.04196 +/- 0.00487\n", - " 26/1 1.01235 1.04011 +/- 0.00492\n", - " 27/1 1.02785 1.03939 +/- 0.00468\n", - " 28/1 1.04556 1.03973 +/- 0.00442\n", - " 29/1 1.05400 1.04048 +/- 0.00425\n", - " 30/1 1.06213 1.04157 +/- 0.00417\n", - " 31/1 0.99934 1.03955 +/- 0.00445\n", - " 32/1 1.04433 1.03977 +/- 0.00425\n", - " 33/1 1.05184 1.04030 +/- 0.00409\n", - " 34/1 1.03971 1.04027 +/- 0.00392\n", - " 35/1 1.05272 1.04077 +/- 0.00379\n", - " 36/1 1.06881 1.04185 +/- 0.00380\n", - " 37/1 1.03344 1.04154 +/- 0.00367\n", - " 38/1 1.04726 1.04174 +/- 0.00354\n", - " 39/1 1.01440 1.04080 +/- 0.00354\n", - " 40/1 1.03534 1.04062 +/- 0.00343\n", - " 41/1 1.04429 1.04073 +/- 0.00332\n", - " 42/1 1.02142 1.04013 +/- 0.00327\n", - " 43/1 1.03895 1.04010 +/- 0.00317\n", - " 44/1 1.05985 1.04068 +/- 0.00313\n", - " 45/1 1.04737 1.04087 +/- 0.00304\n", - " 46/1 1.04796 1.04106 +/- 0.00297\n", - " 47/1 1.06708 1.04177 +/- 0.00297\n", - " 48/1 1.06523 1.04238 +/- 0.00295\n", - " 49/1 0.99626 1.04120 +/- 0.00311\n", - " 50/1 1.04077 1.04119 +/- 0.00303\n", - " 51/1 1.06327 1.04173 +/- 0.00301\n", - " 52/1 1.06508 1.04229 +/- 0.00299\n", - " 53/1 1.03689 1.04216 +/- 0.00292\n", - " 54/1 1.02899 1.04186 +/- 0.00287\n", - " 55/1 1.03267 1.04166 +/- 0.00281\n", - " 56/1 1.05790 1.04201 +/- 0.00277\n", - " 57/1 1.04353 1.04204 +/- 0.00271\n", - " 58/1 1.04657 1.04214 +/- 0.00266\n", - " 59/1 1.02914 1.04187 +/- 0.00261\n", - " 60/1 1.04882 1.04201 +/- 0.00257\n", - " 61/1 1.01905 1.04156 +/- 0.00255\n", - " 62/1 1.03995 1.04153 +/- 0.00251\n", - " 63/1 1.05377 1.04176 +/- 0.00247\n", - " 64/1 1.02909 1.04153 +/- 0.00243\n", - " 65/1 1.06892 1.04202 +/- 0.00244\n", - " 66/1 1.04216 1.04203 +/- 0.00240\n", - " 67/1 1.03473 1.04190 +/- 0.00236\n", - " 68/1 1.04114 1.04188 +/- 0.00232\n", - " 69/1 1.04955 1.04201 +/- 0.00228\n", - " 70/1 1.05464 1.04222 +/- 0.00225\n", - " 71/1 1.02859 1.04200 +/- 0.00223\n", - " 72/1 1.05387 1.04219 +/- 0.00220\n", - " 73/1 1.05039 1.04232 +/- 0.00217\n", - " 74/1 1.04338 1.04234 +/- 0.00213\n", - " 75/1 1.05838 1.04259 +/- 0.00211\n", - " 76/1 1.03831 1.04252 +/- 0.00208\n", - " 77/1 1.03555 1.04242 +/- 0.00205\n", - " 78/1 1.05684 1.04263 +/- 0.00204\n", - " 79/1 1.04267 1.04263 +/- 0.00201\n", - " 80/1 1.05813 1.04285 +/- 0.00199\n", - " 81/1 1.03512 1.04274 +/- 0.00196\n", - " 82/1 1.07081 1.04313 +/- 0.00198\n", - " 83/1 1.04476 1.04315 +/- 0.00195\n", - " 84/1 1.05153 1.04327 +/- 0.00192\n", - " 85/1 1.03939 1.04322 +/- 0.00190\n", - " 86/1 1.04218 1.04320 +/- 0.00187\n", - " 87/1 1.03688 1.04312 +/- 0.00185\n", - " 88/1 1.03480 1.04301 +/- 0.00183\n", - " 89/1 1.05089 1.04311 +/- 0.00181\n", - " 90/1 1.06251 1.04336 +/- 0.00180\n", - " 91/1 1.04054 1.04332 +/- 0.00178\n", - " 92/1 1.05340 1.04344 +/- 0.00176\n", - " 93/1 1.05938 1.04364 +/- 0.00175\n", - " 94/1 1.02741 1.04344 +/- 0.00174\n", - " 95/1 1.08249 1.04390 +/- 0.00178\n", - " 96/1 1.02858 1.04372 +/- 0.00177\n", - " 97/1 1.03983 1.04368 +/- 0.00175\n", - " 98/1 1.04715 1.04372 +/- 0.00173\n", - " 99/1 1.07443 1.04406 +/- 0.00175\n", - " 100/1 1.04461 1.04407 +/- 0.00173\n", + " 1/1 1.05222\n", + " 2/1 1.04039\n", + " 3/1 1.02923\n", + " 4/1 1.03979\n", + " 5/1 1.03682\n", + " 6/1 1.05988\n", + " 7/1 1.04849\n", + " 8/1 1.02769\n", + " 9/1 1.08457\n", + " 10/1 1.07211\n", + " 11/1 1.03089\n", + " 12/1 1.04143 1.03616 +/- 0.00527\n", + " 13/1 1.05918 1.04383 +/- 0.00825\n", + " 14/1 1.02158 1.03827 +/- 0.00806\n", + " 15/1 1.02379 1.03537 +/- 0.00689\n", + " 16/1 1.06954 1.04107 +/- 0.00800\n", + " 17/1 1.05054 1.04242 +/- 0.00690\n", + " 18/1 1.05444 1.04392 +/- 0.00616\n", + " 19/1 1.07380 1.04724 +/- 0.00637\n", + " 20/1 1.05148 1.04767 +/- 0.00571\n", + " 21/1 1.05985 1.04877 +/- 0.00528\n", + " 22/1 1.04049 1.04808 +/- 0.00487\n", + " 23/1 1.00283 1.04460 +/- 0.00567\n", + " 24/1 1.05393 1.04527 +/- 0.00530\n", + " 25/1 1.05210 1.04572 +/- 0.00495\n", + " 26/1 1.01377 1.04373 +/- 0.00504\n", + " 27/1 1.05674 1.04449 +/- 0.00480\n", + " 28/1 1.03217 1.04381 +/- 0.00458\n", + " 29/1 1.05243 1.04426 +/- 0.00435\n", + " 30/1 1.02943 1.04352 +/- 0.00419\n", + " 31/1 1.07030 1.04480 +/- 0.00419\n", + " 32/1 1.05439 1.04523 +/- 0.00402\n", + " 33/1 1.02710 1.04444 +/- 0.00392\n", + " 34/1 1.02344 1.04357 +/- 0.00385\n", + " 35/1 1.04084 1.04346 +/- 0.00370\n", + " 36/1 1.03818 1.04326 +/- 0.00356\n", + " 37/1 1.05615 1.04373 +/- 0.00346\n", + " 38/1 1.03077 1.04327 +/- 0.00336\n", + " 39/1 1.04828 1.04344 +/- 0.00325\n", + " 40/1 1.04892 1.04363 +/- 0.00314\n", + " 41/1 1.04616 1.04371 +/- 0.00304\n", + " 42/1 1.04568 1.04377 +/- 0.00295\n", + " 43/1 1.02828 1.04330 +/- 0.00289\n", + " 44/1 1.02634 1.04280 +/- 0.00285\n", + " 45/1 1.06308 1.04338 +/- 0.00283\n", + " 46/1 1.04557 1.04344 +/- 0.00275\n", + " 47/1 1.06041 1.04390 +/- 0.00271\n", + " 48/1 1.05813 1.04427 +/- 0.00267\n", + " 49/1 1.05534 1.04456 +/- 0.00261\n", + " 50/1 1.04697 1.04462 +/- 0.00255\n", + " 51/1 1.04793 1.04470 +/- 0.00249\n", + " 52/1 0.99828 1.04359 +/- 0.00267\n", + " 53/1 1.01921 1.04303 +/- 0.00266\n", + " 54/1 1.04030 1.04296 +/- 0.00260\n", + " 55/1 1.01665 1.04238 +/- 0.00261\n", + " 56/1 1.05756 1.04271 +/- 0.00258\n", + " 57/1 1.03523 1.04255 +/- 0.00253\n", + " 58/1 1.03701 1.04244 +/- 0.00248\n", + " 59/1 1.05190 1.04263 +/- 0.00243\n", + " 60/1 1.01668 1.04211 +/- 0.00244\n", + " 61/1 1.04511 1.04217 +/- 0.00239\n", + " 62/1 1.01641 1.04167 +/- 0.00240\n", + " 63/1 1.07012 1.04221 +/- 0.00241\n", + " 64/1 1.05301 1.04241 +/- 0.00237\n", + " 65/1 1.06213 1.04277 +/- 0.00236\n", + " 66/1 1.04220 1.04276 +/- 0.00232\n", + " 67/1 1.05513 1.04298 +/- 0.00229\n", + " 68/1 1.01721 1.04253 +/- 0.00229\n", + " 69/1 1.06447 1.04290 +/- 0.00228\n", + " 70/1 1.05860 1.04316 +/- 0.00226\n", + " 71/1 1.01646 1.04273 +/- 0.00226\n", + " 72/1 1.02675 1.04247 +/- 0.00224\n", + " 73/1 1.07485 1.04298 +/- 0.00226\n", + " 74/1 1.03000 1.04278 +/- 0.00224\n", + " 75/1 1.08164 1.04338 +/- 0.00228\n", + " 76/1 1.04750 1.04344 +/- 0.00225\n", + " 77/1 1.02581 1.04318 +/- 0.00223\n", + " 78/1 1.02560 1.04292 +/- 0.00221\n", + " 79/1 1.04092 1.04289 +/- 0.00218\n", + " 80/1 1.03475 1.04277 +/- 0.00215\n", + " 81/1 1.02949 1.04259 +/- 0.00213\n", + " 82/1 1.04891 1.04267 +/- 0.00210\n", + " 83/1 1.06470 1.04298 +/- 0.00209\n", + " 84/1 1.04634 1.04302 +/- 0.00207\n", + " 85/1 1.04922 1.04310 +/- 0.00204\n", + " 86/1 1.02642 1.04288 +/- 0.00203\n", + " 87/1 1.01690 1.04255 +/- 0.00203\n", + " 88/1 1.06143 1.04279 +/- 0.00202\n", + " 89/1 1.05653 1.04296 +/- 0.00200\n", + " 90/1 1.05543 1.04312 +/- 0.00198\n", + " 91/1 1.06231 1.04336 +/- 0.00197\n", + " 92/1 1.04363 1.04336 +/- 0.00194\n", + " 93/1 0.99681 1.04280 +/- 0.00200\n", + " 94/1 1.03114 1.04266 +/- 0.00198\n", + " 95/1 1.07076 1.04299 +/- 0.00199\n", + " 96/1 1.02145 1.04274 +/- 0.00198\n", + " 97/1 1.03821 1.04269 +/- 0.00196\n", + " 98/1 1.04462 1.04271 +/- 0.00193\n", + " 99/1 0.98538 1.04207 +/- 0.00202\n", + " 100/1 1.01249 1.04174 +/- 0.00202\n", " Creating state point statepoint.100.h5...\n", "\n", " =======================> TIMING STATISTICS <=======================\n", "\n", - " Total time for initialization = 2.4568e-01 seconds\n", - " Reading cross sections = 2.3233e-01 seconds\n", - " Total time in simulation = 1.1761e+02 seconds\n", - " Time in transport only = 1.1757e+02 seconds\n", - " Time in inactive batches = 2.0641e+00 seconds\n", - " Time in active batches = 1.1554e+02 seconds\n", - " Time synchronizing fission bank = 2.1808e-02 seconds\n", - " Sampling source sites = 1.8421e-02 seconds\n", - " SEND/RECV source sites = 3.3183e-03 seconds\n", - " Time accumulating tallies = 2.6283e-03 seconds\n", - " Time writing statepoints = 4.2804e-03 seconds\n", - " Total time for finalization = 2.2731e-02 seconds\n", - " Total time elapsed = 1.1789e+02 seconds\n", - " Calculation Rate (inactive) = 24223.6 particles/second\n", - " Calculation Rate (active) = 3894.66 particles/second\n", + " Total time for initialization = 3.7722e-01 seconds\n", + " Reading cross sections = 3.5999e-01 seconds\n", + " Total time in simulation = 6.4525e+01 seconds\n", + " Time in transport only = 6.4430e+01 seconds\n", + " Time in inactive batches = 1.6481e+00 seconds\n", + " Time in active batches = 6.2877e+01 seconds\n", + " Time synchronizing fission bank = 4.1304e-02 seconds\n", + " Sampling source sites = 3.5765e-02 seconds\n", + " SEND/RECV source sites = 5.4831e-03 seconds\n", + " Time accumulating tallies = 6.4451e-03 seconds\n", + " Time writing statepoints = 6.7978e-03 seconds\n", + " Total time for finalization = 2.4647e-02 seconds\n", + " Total time elapsed = 6.4937e+01 seconds\n", + " Calculation Rate (inactive) = 30338.1 particles/second\n", + " Calculation Rate (active) = 7156.83 particles/second\n", "\n", " ============================> RESULTS <============================\n", "\n", - " k-effective (Collision) = 1.04491 +/- 0.00149\n", - " k-effective (Track-length) = 1.04407 +/- 0.00173\n", - " k-effective (Absorption) = 1.04203 +/- 0.00169\n", - " Combined k-effective = 1.04355 +/- 0.00131\n", + " k-effective (Collision) = 1.04170 +/- 0.00181\n", + " k-effective (Track-length) = 1.04174 +/- 0.00202\n", + " k-effective (Absorption) = 1.04258 +/- 0.00148\n", + " Combined k-effective = 1.04225 +/- 0.00127\n", " Leakage Fraction = 0.00000 +/- 0.00000\n", "\n" ] @@ -581,19 +588,19 @@ { "data": { "text/plain": [ - "array([[[0.41279586, 0. ]],\n", + "array([[[0.4111205 , 0. ]],\n", "\n", - " [[0.41176924, 0. ]],\n", + " [[0.41061575, 0. ]],\n", "\n", - " [[0.41096843, 0. ]],\n", + " [[0.40986744, 0. ]],\n", "\n", " ...,\n", "\n", - " [[0.4095409 , 0. ]],\n", + " [[0.40879612, 0. ]],\n", "\n", - " [[0.40836217, 0. ]],\n", + " [[0.40832871, 0. ]],\n", "\n", - " [[0.40852022, 0. ]]])" + " [[0.4118188 , 0. ]]])" ] }, "execution_count": 17, @@ -627,32 +634,32 @@ { "data": { "text/plain": [ - "(array([[[0.00458662, 0. ]],\n", + "(array([[[0.00456801, 0. ]],\n", " \n", - " [[0.00457521, 0. ]],\n", + " [[0.0045624 , 0. ]],\n", " \n", - " [[0.00456632, 0. ]],\n", + " [[0.00455408, 0. ]],\n", " \n", " ...,\n", " \n", - " [[0.00455045, 0. ]],\n", + " [[0.00454218, 0. ]],\n", " \n", - " [[0.00453736, 0. ]],\n", + " [[0.00453699, 0. ]],\n", " \n", - " [[0.00453911, 0. ]]]),\n", - " array([[[1.74741992e-05, 0.00000000e+00]],\n", + " [[0.00457576, 0. ]]]),\n", + " array([[[1.93546369e-05, 0.00000000e+00]],\n", " \n", - " [[1.68457472e-05, 0.00000000e+00]],\n", + " [[1.65551573e-05, 0.00000000e+00]],\n", " \n", - " [[1.75888801e-05, 0.00000000e+00]],\n", + " [[1.67835932e-05, 0.00000000e+00]],\n", " \n", " ...,\n", " \n", - " [[1.79971274e-05, 0.00000000e+00]],\n", + " [[1.66301983e-05, 0.00000000e+00]],\n", " \n", - " 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\n", + "image/png": 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", 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\n", 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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -984,7 +983,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.1" + "version": "3.11.6" } }, "nbformat": 4, diff --git a/stress-test/lattice-computations/BEAVRS.ipynb b/stress-test/lattice-computations/BEAVRS.ipynb index 4248bde..f879f72 100644 --- a/stress-test/lattice-computations/BEAVRS.ipynb +++ b/stress-test/lattice-computations/BEAVRS.ipynb @@ -773,7 +773,7 @@ " Version | 0.13.3\n", " Git SHA1 | 50e39a4e20dc9e0f3d7ccf07333f6a5e6c797c8c\n", " Date/Time | 2023-10-19 22:47:40\n", - " OpenMP Threads | 4\n", + " OpenMP Threads | 32\n", "\n", " Reading settings XML file...\n", " Reading cross sections XML file...\n", @@ -997,7 +997,7 @@ " Version | 0.13.3\n", " Git SHA1 | 50e39a4e20dc9e0f3d7ccf07333f6a5e6c797c8c\n", " Date/Time | 2023-10-19 22:47:45\n", - " OpenMP Threads | 4\n", + " OpenMP Threads | 32\n", "\n", " Reading settings XML file...\n", " Reading cross sections XML file...\n",