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@pshriwise
Last active August 10, 2023 20:36
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SurfaceFilter and MuFitler combination
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import openmc\n",
"import os"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"openmc_data = \"/home/zoeprieto/Doctorado/openmc_ncrystal_conda/endfb-viii.0-hdf5/cross_sections.xml\"\n",
"os.environ[\"OPENMC_CROSS_SECTIONS\"] = openmc_data\n",
"openmc.config['cross_sections'] = openmc_data"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"mat=openmc.Material(material_id=1) \n",
"mat.add_nuclide(\"H1\",2)\n",
"mat.add_nuclide(\"O16\",1)\n",
"mat.add_s_alpha_beta('c_H_in_H2O')\n",
"mat.set_density('g/cm3', 1)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x7f4a67795210>"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 258.065x259.74 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"Lx,Ly,Lz=10.0,10.0,10.0\n",
"\n",
"surf01=openmc.XPlane(boundary_type = \"vacuum\", surface_id = 1)\n",
"surf02=openmc.YPlane(boundary_type = \"vacuum\", surface_id = 2)\n",
"surf03=openmc.ZPlane(boundary_type = \"vacuum\", surface_id = 3) \n",
"surf04=openmc.XPlane(Lx,boundary_type = \"vacuum\", surface_id = 4)\n",
"surf05=openmc.YPlane(Ly,boundary_type = \"vacuum\", surface_id = 5)\n",
"surf06=openmc.ZPlane(Lz,boundary_type = \"vacuum\", surface_id = 6)\n",
"\n",
"cell=openmc.Cell(region = +surf01 & -surf04 & +surf02 & -surf05 & +surf03 & -surf06, fill=mat , cell_id = 1 )\n",
"\n",
"univ=openmc.Universe(cells = [cell], universe_id = 1)\n",
"\n",
"univ.plot(origin=(Lx/2, Ly/2, Lz/2), width=(Lx*1.5, Lz*1.5), pixels=(200, 200), basis='xy', color_by='cell')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"sets = openmc.Settings()\n",
"sets.run_mode = \"fixed source\"\n",
"sets.particles = 10000\n",
"sets.batches = 110\n",
"sets.inactive = 10\n",
"sets.photon_transport = True\n",
"\n",
"sets.surf_source_write = {\n",
" 'surface_ids': [6],\n",
" 'max_particles': 10000\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"E_f=1.0e6\n",
"\n",
"X=np.linspace(0,Lx,50)\n",
"Y=np.linspace(0,Ly,50)\n",
"PX=np.sin(np.pi*X/(Lx))\n",
"PY=np.sin(np.pi*Y/Lx)\n",
"Z=[1e-6,]\n",
"PZ=[1.0,]\n",
"\n",
"source=openmc.Source()\n",
"source.space = openmc.stats.CartesianIndependent(openmc.stats.Tabular(X,PX),openmc.stats.Tabular(Y,PY),openmc.stats.Discrete(Z,PZ))\n",
"\n",
"mu=openmc.stats.Uniform(1.0,1.0)\n",
"phi=openmc.stats.Uniform(-np.pi,+np.pi)\n",
"source.angle= openmc.stats.PolarAzimuthal(mu, phi, reference_uvw=(0.0, 0.0, 1.0))\n",
"\n",
"source.energy = openmc.stats.Discrete([E_f], [1.0]) \n",
"sets.source=source"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"tallies = openmc.Tallies()\n",
"\n",
"# Grilla\n",
"mesh_xy = openmc.RegularMesh(mesh_id = 1)\n",
"mesh_xy.lower_left = [0, 0, 0]\n",
"mesh_xy.upper_right = [Lx, Ly, Lz]\n",
"mesh_xy.dimension = [100, 100, 1]\n",
"\n",
"mesh_xz = openmc.RegularMesh(mesh_id = 2)\n",
"mesh_xz.lower_left = [0, 0, 0]\n",
"mesh_xz.upper_right = [Lx, Ly, Lz]\n",
"mesh_xz.dimension = [100, 1, 100]\n",
"\n",
"\n",
"# Filtro de grilla\n",
"filter_mesh_xy = openmc.filter.MeshFilter(mesh_xy, filter_id = 1)\n",
"filter_mesh_xz = openmc.filter.MeshFilter(mesh_xz, filter_id = 2)\n",
"\n",
"# Filtro de particulas\n",
"filter_neutron = openmc.ParticleFilter(['neutron'], filter_id = 6)\n",
"filter_photon = openmc.ParticleFilter(['photon'], filter_id = 7)\n",
"\n",
"#Filtro de energías\n",
"filter_energy_neutron = openmc.filter.EnergyFilter(np.logspace(np.log10(1e-5), np.log10(2e7), 201),filter_id = 8)\n",
"\n",
"#Filtro de ángulos\n",
"filter_mu = openmc.MuFilter(np.linspace(-1.0,1.0,50),filter_id=10)\n",
"filter_theta = openmc.PolarFilter(np.linspace(0,np.pi,50),filter_id=11)\n",
"filter_phi= openmc.AzimuthalFilter(np.linspace(-np.pi,+np.pi,50),filter_id=12)\n",
"\n",
"# Tallies\n",
"flux_neutron_xy = openmc.Tally(name = 'flux_neutron_xy', tally_id = 1)\n",
"flux_neutron_xy.scores = [\"flux\"]\n",
"flux_neutron_xy.filters = [filter_mesh_xy, filter_neutron]\n",
"tallies.append(flux_neutron_xy)\n",
"\n",
"\n",
"flux_neutron_xz = openmc.Tally(name = 'flux_neutron_xz', tally_id = 3)\n",
"flux_neutron_xz.scores = [\"flux\"]\n",
"flux_neutron_xz.filters = [filter_mesh_xz, filter_neutron]\n",
"tallies.append(flux_neutron_xz)\n",
"\n",
"spectra_neutron = openmc.Tally(name = 'spectra_neutron', tally_id = 9)\n",
"spectra_neutron.scores = ['flux']\n",
"spectra_neutron.filters = [filter_energy_neutron, filter_neutron]\n",
"tallies.append(spectra_neutron)\n",
"\n",
"leak_salida_mu = openmc.Tally(name='leakage_salida_mu')\n",
"leak_salida_mu.filters = [openmc.SurfaceFilter(surf06), filter_mu]\n",
"leak_salida_mu.scores = ['current']\n",
"tallies.append(leak_salida_mu)\n",
"\n",
"leak_salida_phi = openmc.Tally(name='leakage_salida_phi')\n",
"leak_salida_phi.filters = [openmc.SurfaceFilter(surf06), filter_phi]\n",
"leak_salida_phi.scores = ['current']\n",
"tallies.append(leak_salida_phi)\n",
"\n",
"leak_salida_theta = openmc.Tally(name='leakage_salida_theta')\n",
"leak_salida_theta.filters = [openmc.SurfaceFilter(surf06), filter_theta]\n",
"leak_salida_theta.scores = ['current']\n",
"tallies.append(leak_salida_theta)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/zoeprieto/anaconda3/envs/openmc_ncrystal_develop/lib/python3.11/site-packages/openmc/mixin.py:70: IDWarning: Another Filter instance already exists with id=3.\n",
" warn(msg, IDWarning)\n"
]
}
],
"source": [
"geom = openmc.Geometry(univ)\n",
"mats = openmc.Materials(geom.get_all_materials().values()) \n",
"mats.cross_sections = openmc_data\n",
"\n",
"\n",
"geom.export_to_xml()\n",
"mats.export_to_xml()\n",
"sets.export_to_xml()\n",
"tallies.export_to_xml()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"rm: cannot remove 'statepoint.110.h5': No such file or directory\n",
" %%%%%%%%%%%%%%%\n",
" %%%%%%%%%%%%%%%%%%%%%%%%\n",
" %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
" %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
" %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
" %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
" %%%%%%%%%%%%%%%%%%%%%%%%\n",
" %%%%%%%%%%%%%%%%%%%%%%%%\n",
" ############### %%%%%%%%%%%%%%%%%%%%%%%%\n",
" ################## %%%%%%%%%%%%%%%%%%%%%%%\n",
" ################### %%%%%%%%%%%%%%%%%%%%%%%\n",
" #################### %%%%%%%%%%%%%%%%%%%%%%\n",
" ##################### %%%%%%%%%%%%%%%%%%%%%\n",
" ###################### %%%%%%%%%%%%%%%%%%%%\n",
" ####################### %%%%%%%%%%%%%%%%%%\n",
" ####################### %%%%%%%%%%%%%%%%%\n",
" ###################### %%%%%%%%%%%%%%%%%\n",
" #################### %%%%%%%%%%%%%%%%%\n",
" ################# %%%%%%%%%%%%%%%%%\n",
" ############### %%%%%%%%%%%%%%%%\n",
" ############ %%%%%%%%%%%%%%%\n",
" ######## %%%%%%%%%%%%%%\n",
" %%%%%%%%%%%\n",
"\n",
" | The OpenMC Monte Carlo Code\n",
" Copyright | 2011-2023 MIT, UChicago Argonne LLC, and contributors\n",
" License | https://docs.openmc.org/en/latest/license.html\n",
" Version | 0.13.3-dev\n",
" Git SHA1 | 341cb9eb11c9d4e5637bc06ebfa312fe4ceb7491\n",
" Date/Time | 2023-08-09 14:24:41\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",
" /home/zoeprieto/Doctorado/openmc_ncrystal_conda/endfb-viii.0-hdf5/neutron/H1.h5\n",
" Reading H from\n",
" /home/zoeprieto/Doctorado/openmc_ncrystal_conda/endfb-viii.0-hdf5/photon/H.h5 \n",
" Reading O16 from\n",
" /home/zoeprieto/Doctorado/openmc_ncrystal_conda/endfb-viii.0-hdf5/neutron/O16.h5\n",
" Reading O from\n",
" /home/zoeprieto/Doctorado/openmc_ncrystal_conda/endfb-viii.0-hdf5/photon/O.h5 \n",
" Reading c_H_in_H2O from\n",
" /home/zoeprieto/Doctorado/openmc_ncrystal_conda/endfb-viii.0-hdf5/neutron/c_H_in\n",
" _H2O.h5\n",
" Minimum neutron data temperature: 294 K\n",
" Maximum neutron data temperature: 294 K\n",
" Reading tallies XML file...\n",
" WARNING: Particle filter is not used with photon transport on and current\n",
" score.\n",
" WARNING: Particle filter is not used with photon transport on and current\n",
" score.\n",
" WARNING: Particle filter is not used with photon transport on and current\n",
" score.\n",
" Preparing distributed cell instances...\n",
" Reading plot XML file...\n",
" Writing summary.h5 file...\n",
" Maximum neutron transport energy: 20000000 eV for H1\n",
"\n",
" ===============> FIXED SOURCE TRANSPORT SIMULATION <===============\n",
"\n",
" Simulating batch 1\n",
" Simulating batch 2\n",
" Simulating batch 3\n",
" Simulating batch 4\n",
" Simulating batch 5\n",
" Simulating batch 6\n",
" Simulating batch 7\n",
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" Simulating batch 13\n",
" Simulating batch 14\n",
" Simulating batch 15\n",
" Simulating batch 16\n",
" Simulating batch 17\n",
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" Simulating batch 20\n",
" Simulating batch 21\n",
" Simulating batch 22\n",
" Simulating batch 23\n",
" Simulating batch 24\n",
" Simulating batch 25\n",
" Simulating batch 26\n",
" Simulating batch 27\n",
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" Simulating batch 45\n",
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" Simulating batch 75\n",
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" Simulating batch 77\n",
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" Simulating batch 86\n",
" Simulating batch 87\n",
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" Simulating batch 90\n",
" Simulating batch 91\n",
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" Simulating batch 94\n",
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" Simulating batch 98\n",
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" Simulating batch 101\n",
" Simulating batch 102\n",
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" Simulating batch 108\n",
" Simulating batch 109\n",
" Simulating batch 110\n",
" Creating state point statepoint.110.h5...\n",
"HDF5-DIAG: Error detected in HDF5 (1.10.7) thread 1:\n",
" #000: ../../../src/H5F.c line 366 in H5Fcreate(): unable to create file\n",
" major: File accessibility\n",
" minor: Unable to open file\n",
" #001: ../../../src/H5Fint.c line 1713 in H5F_open(): unable to lock the file\n",
" major: File accessibility\n",
" minor: Unable to lock file\n",
" #002: ../../../src/H5FD.c line 1675 in H5FD_lock(): driver lock request failed\n",
" major: Virtual File Layer\n",
" minor: Unable to lock file\n",
" #003: ../../../src/H5FDsec2.c line 990 in H5FD__sec2_lock(): unable to lock file, errno = 11, error message = 'Resource temporarily unavailable'\n",
" major: Virtual File Layer\n",
" minor: Unable to lock file\n",
" ERROR: Failed to open HDF5 file with mode 'w': statepoint.110.h5\n"
]
},
{
"ename": "RuntimeError",
"evalue": "Failed to open HDF5 file with mode 'w': statepoint.110.h5",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mRuntimeError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[9], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m get_ipython()\u001b[39m.\u001b[39msystem(\u001b[39m'\u001b[39m\u001b[39mrm statepoint.110.h5\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[1;32m 2\u001b[0m get_ipython()\u001b[39m.\u001b[39msystem(\u001b[39m'\u001b[39m\u001b[39mrm summary.h5\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m----> 3\u001b[0m openmc\u001b[39m.\u001b[39;49mrun()\n",
"File \u001b[0;32m~/anaconda3/envs/openmc_ncrystal_develop/lib/python3.11/site-packages/openmc/executor.py:314\u001b[0m, in \u001b[0;36mrun\u001b[0;34m(particles, threads, geometry_debug, restart_file, tracks, output, cwd, openmc_exec, mpi_args, event_based, path_input)\u001b[0m\n\u001b[1;32m 261\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"Run an OpenMC simulation.\u001b[39;00m\n\u001b[1;32m 262\u001b[0m \n\u001b[1;32m 263\u001b[0m \u001b[39mParameters\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 305\u001b[0m \n\u001b[1;32m 306\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m 308\u001b[0m args \u001b[39m=\u001b[39m _process_CLI_arguments(\n\u001b[1;32m 309\u001b[0m volume\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m, geometry_debug\u001b[39m=\u001b[39mgeometry_debug, particles\u001b[39m=\u001b[39mparticles,\n\u001b[1;32m 310\u001b[0m restart_file\u001b[39m=\u001b[39mrestart_file, threads\u001b[39m=\u001b[39mthreads, tracks\u001b[39m=\u001b[39mtracks,\n\u001b[1;32m 311\u001b[0m event_based\u001b[39m=\u001b[39mevent_based, openmc_exec\u001b[39m=\u001b[39mopenmc_exec, mpi_args\u001b[39m=\u001b[39mmpi_args,\n\u001b[1;32m 312\u001b[0m path_input\u001b[39m=\u001b[39mpath_input)\n\u001b[0;32m--> 314\u001b[0m _run(args, output, cwd)\n",
"File \u001b[0;32m~/anaconda3/envs/openmc_ncrystal_develop/lib/python3.11/site-packages/openmc/executor.py:125\u001b[0m, in \u001b[0;36m_run\u001b[0;34m(args, output, cwd)\u001b[0m\n\u001b[1;32m 122\u001b[0m error_msg \u001b[39m=\u001b[39m \u001b[39m'\u001b[39m\u001b[39mOpenMC aborted unexpectedly.\u001b[39m\u001b[39m'\u001b[39m\n\u001b[1;32m 123\u001b[0m error_msg \u001b[39m=\u001b[39m \u001b[39m'\u001b[39m\u001b[39m \u001b[39m\u001b[39m'\u001b[39m\u001b[39m.\u001b[39mjoin(error_msg\u001b[39m.\u001b[39msplit())\n\u001b[0;32m--> 125\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mRuntimeError\u001b[39;00m(error_msg)\n",
"\u001b[0;31mRuntimeError\u001b[0m: Failed to open HDF5 file with mode 'w': statepoint.110.h5"
]
}
],
"source": [
"!rm statepoint.110.h5\n",
"!rm summary.h5\n",
"openmc.run()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"sp=openmc.StatePoint('statepoint.110.h5')\n",
"S0=1.0"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"tally=sp.get_tally(name='flux_neutron_xy') \n",
"mesh_filter=tally.find_filter(openmc.filter.MeshFilter)\n",
"data=tally.get_slice(scores=['flux'])\n",
"\n",
"Nx=mesh_filter.mesh.dimension[0]\n",
"xmin=mesh_filter.mesh.lower_left[0]\n",
"xmax=mesh_filter.mesh.upper_right[0]\n",
"dx=xmax-xmin\n",
"\n",
"Ny=mesh_filter.mesh.dimension[1]\n",
"ymin=mesh_filter.mesh.lower_left[1]\n",
"ymax=mesh_filter.mesh.upper_right[1]\n",
"dy=ymax-ymin\n",
"\n",
"Nz=mesh_filter.mesh.dimension[2]\n",
"zmin=mesh_filter.mesh.lower_left[2]\n",
"zmax=mesh_filter.mesh.upper_right[2]\n",
"dz=zmax-zmin\n",
"\n",
"data.mean.shape=(Nx,Ny)\n",
"data.std_dev.shape=(Nx,Ny)\n",
"\n",
"data_mean = data.mean*S0/(dx/Nx*dy/Ny*dz/Nz)\n",
"data_stdv = data.std_dev*S0/(dx/Nx*dy/Ny*dz/Nz)\n",
"\n",
"plt.imshow(data_mean, origin='lower', interpolation='none', extent=(xmin,xmax,ymin,ymax), cmap='viridis')\n",
"plt.colorbar()\n",
"plt.xlabel('x [cm]')\n",
"plt.ylabel('y [cm]')\n",
"plt.title('flux XY')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"tally=sp.get_tally(name='flux_neutron_xz') \n",
"mesh_filter=tally.find_filter(openmc.filter.MeshFilter)\n",
"data=tally.get_slice(scores=['flux'])\n",
"\n",
"Nx=mesh_filter.mesh.dimension[0]\n",
"xmin=mesh_filter.mesh.lower_left[0]\n",
"xmax=mesh_filter.mesh.upper_right[0]\n",
"dx=xmax-xmin\n",
"\n",
"Ny=mesh_filter.mesh.dimension[1]\n",
"ymin=mesh_filter.mesh.lower_left[1]\n",
"ymax=mesh_filter.mesh.upper_right[1]\n",
"dy=ymax-ymin\n",
"\n",
"Nz=mesh_filter.mesh.dimension[2]\n",
"zmin=mesh_filter.mesh.lower_left[2]\n",
"zmax=mesh_filter.mesh.upper_right[2]\n",
"dz=zmax-zmin\n",
"\n",
"data.mean.shape=(Nx,Nz)\n",
"data.std_dev.shape=(Nx,Nz)\n",
"\n",
"data_mean = data.mean*S0/(dx/Nx*dy/Ny*dz/Nz)\n",
"data_stdv = data.std_dev*S0/(dx/Nx*dy/Ny*dz/Nz)\n",
"\n",
"plt.imshow(data_mean, origin='lower', interpolation='none', extent=(xmin,xmax,zmin,zmax), cmap='viridis')\n",
"plt.colorbar()\n",
"plt.xlabel('x [cm]')\n",
"plt.ylabel('z [cm]')\n",
"plt.title('flux XZ')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"dV=Lx*Ly*Lz\n",
"data=sp.get_tally(name='spectra_neutron').get_pandas_dataframe(nuclides=False)\n",
"data.columns=['Emin','Emax','particle','score','mean','stdv']\n",
"Emin=data['Emin'].values\n",
"Emax=data['Emax'].values\n",
"E=(Emin+Emax)/2.0\n",
"dE=Emax-Emin\n",
"\n",
"data_mean=data['mean']*S0/(dE*dV)\n",
"data_stdv=data['stdv']*S0/(dE*dV)\n",
"\n",
"plt.loglog(E,data_mean)\n",
"plt.xlabel('E [eV]')\n",
"plt.ylabel('$\\phi(E)$ [n/(cm² s eV)]')\n",
"plt.grid()\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"dS=Lx*Ly\n",
"data=sp.get_tally(name='leakage_salida_mu').get_pandas_dataframe(nuclides=False)\n",
"data.columns=['surface','mu_min','mu_max','score','mean','stdv']\n",
"mu_min=data['mu_min'].values\n",
"mu_max=data['mu_max'].values\n",
"mu=(mu_min+mu_max)/2.0\n",
"dmu=mu_max-mu_min\n",
"data_mean_mu=data['mean']*S0/(dmu*dS)\n",
"data_stdv_mu=data['stdv']*S0/(dmu*dS)\n",
"\n",
"plt.plot(mu,data_mean_mu)\n",
"plt.xlabel('$\\mu$')\n",
"plt.ylabel('$J(\\mu)$')\n",
"plt.grid()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"dS=Lx*Ly\n",
"data=sp.get_tally(name='leakage_salida_theta').get_pandas_dataframe(nuclides=False)\n",
"\n",
"data.columns=['surface','theta_min','theta_max','score','mean','stdv']\n",
"theta_min=data['theta_min'].values\n",
"theta_max=data['theta_max'].values\n",
"cos_theta=(np.cos(theta_min)+np.cos(theta_max))/2.0\n",
"dcos_theta=np.cos(theta_min)-np.cos(theta_max)\n",
"data_mean_theta=data['mean']*S0/(dcos_theta*dS)\n",
"data_stdv_theta=data['stdv']*S0/(dcos_theta*dS)\n",
"\n",
"plt.plot(cos_theta,data_mean_theta)\n",
"plt.xlabel('$\\mu$')\n",
"plt.ylabel('$J(\\mu)$')\n",
"plt.grid()\n",
"plt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.1"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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