mirror of
https://github.com/openmc-dev/openmc.git
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1129 lines
298 KiB
Text
1129 lines
298 KiB
Text
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"This notebook demonstrates some basic post-processing tasks that can be performed with the Python API, such as plotting a 2D mesh tally and plotting neutron source sites from an eigenvalue calculation. The problem we will use is a simple reflected pin-cell."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"from IPython.display import Image\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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"import openmc\n",
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"from openmc.statepoint import StatePoint\n",
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"from openmc.source import Source\n",
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"from openmc.stats import Box\n",
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"\n",
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"%matplotlib inline"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Generate Input Files"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"First we need to define materials that will be used in the problem. Before defining a material, we must create nuclides that are used in the material."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"# Instantiate some Nuclides\n",
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"h1 = openmc.Nuclide('H-1')\n",
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"b10 = openmc.Nuclide('B-10')\n",
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"o16 = openmc.Nuclide('O-16')\n",
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"u235 = openmc.Nuclide('U-235')\n",
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"u238 = openmc.Nuclide('U-238')\n",
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"zr90 = openmc.Nuclide('Zr-90')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"With the nuclides we defined, we will now create three materials for the fuel, water, and cladding of the fuel pin."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"# 1.6 enriched fuel\n",
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"fuel = openmc.Material(name='1.6% Fuel')\n",
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"fuel.set_density('g/cm3', 10.31341)\n",
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"fuel.add_nuclide(u235, 3.7503e-4)\n",
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"fuel.add_nuclide(u238, 2.2625e-2)\n",
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"fuel.add_nuclide(o16, 4.6007e-2)\n",
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"\n",
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"# borated water\n",
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"water = openmc.Material(name='Borated Water')\n",
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"water.set_density('g/cm3', 0.740582)\n",
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"water.add_nuclide(h1, 4.9457e-2)\n",
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"water.add_nuclide(o16, 2.4732e-2)\n",
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"water.add_nuclide(b10, 8.0042e-6)\n",
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"\n",
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"# zircaloy\n",
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"zircaloy = openmc.Material(name='Zircaloy')\n",
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"zircaloy.set_density('g/cm3', 6.55)\n",
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"zircaloy.add_nuclide(zr90, 7.2758e-3)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"With our three materials, we can now create a materials file object that can be exported to an actual XML file."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"# Instantiate a MaterialsFile, add Materials\n",
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"materials_file = openmc.MaterialsFile()\n",
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"materials_file.add_material(fuel)\n",
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"materials_file.add_material(water)\n",
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"materials_file.add_material(zircaloy)\n",
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"materials_file.default_xs = '71c'\n",
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"\n",
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"# Export to \"materials.xml\"\n",
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"materials_file.export_to_xml()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Now let's move on to the geometry. Our problem will have three regions for the fuel, the clad, and the surrounding coolant. The first step is to create the bounding surfaces -- in this case two cylinders and six reflective planes."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"# Create cylinders for the fuel and clad\n",
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"fuel_outer_radius = openmc.ZCylinder(x0=0.0, y0=0.0, R=0.39218)\n",
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"clad_outer_radius = openmc.ZCylinder(x0=0.0, y0=0.0, R=0.45720)\n",
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"\n",
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"# Create boundary planes to surround the geometry\n",
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"# Use both reflective and vacuum boundaries to make life interesting\n",
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"min_x = openmc.XPlane(x0=-0.63, boundary_type='reflective')\n",
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"max_x = openmc.XPlane(x0=+0.63, boundary_type='reflective')\n",
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"min_y = openmc.YPlane(y0=-0.63, boundary_type='reflective')\n",
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"max_y = openmc.YPlane(y0=+0.63, boundary_type='reflective')\n",
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"min_z = openmc.ZPlane(z0=-0.63, boundary_type='reflective')\n",
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"max_z = openmc.ZPlane(z0=+0.63, boundary_type='reflective')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"With the surfaces defined, we can now create cells that are defined by intersections of half-spaces created by the surfaces."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"# Create a Universe to encapsulate a fuel pin\n",
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"pin_cell_universe = openmc.Universe(name='1.6% Fuel Pin')\n",
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"\n",
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"# Create fuel Cell\n",
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"fuel_cell = openmc.Cell(name='1.6% Fuel')\n",
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"fuel_cell.fill = fuel\n",
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"fuel_cell.region = -fuel_outer_radius\n",
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"pin_cell_universe.add_cell(fuel_cell)\n",
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"\n",
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"# Create a clad Cell\n",
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"clad_cell = openmc.Cell(name='1.6% Clad')\n",
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"clad_cell.fill = zircaloy\n",
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"clad_cell.region = +fuel_outer_radius & -clad_outer_radius\n",
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"pin_cell_universe.add_cell(clad_cell)\n",
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"\n",
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"# Create a moderator Cell\n",
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"moderator_cell = openmc.Cell(name='1.6% Moderator')\n",
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"moderator_cell.fill = water\n",
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"moderator_cell.region = +clad_outer_radius\n",
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"pin_cell_universe.add_cell(moderator_cell)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"OpenMC requires that there is a \"root\" universe. Let us create a root cell that is filled by the pin cell universe and then assign it to the root universe."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"# Create root Cell\n",
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"root_cell = openmc.Cell(name='root cell')\n",
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"root_cell.fill = pin_cell_universe\n",
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"\n",
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"# Add boundary planes\n",
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"root_cell.region = +min_x & -max_x & +min_y & -max_y & +min_z & -max_z\n",
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"\n",
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"# Create root Universe\n",
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"root_universe = openmc.Universe(universe_id=0, name='root universe')\n",
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"root_universe.add_cell(root_cell)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"We now must create a geometry that is assigned a root universe, put the geometry into a geometry file, and export it to XML."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"# Create Geometry and set root Universe\n",
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"geometry = openmc.Geometry()\n",
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"geometry.root_universe = root_universe"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"# Instantiate a GeometryFile\n",
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"geometry_file = openmc.GeometryFile()\n",
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"geometry_file.geometry = geometry\n",
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"\n",
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"# Export to \"geometry.xml\"\n",
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"geometry_file.export_to_xml()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"With the geometry and materials finished, we now just need to define simulation parameters. In this case, we will use 10 inactive batches and 90 active batches each with 5000 particles."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"# OpenMC simulation parameters\n",
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"batches = 100\n",
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"inactive = 10\n",
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"particles = 5000\n",
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"\n",
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"# Instantiate a SettingsFile\n",
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"settings_file = openmc.SettingsFile()\n",
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"settings_file.batches = batches\n",
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"settings_file.inactive = inactive\n",
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"settings_file.particles = particles\n",
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"source_bounds = [-0.63, -0.63, -0.63, 0.63, 0.63, 0.63]\n",
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"settings_file.source = Source(space=Box(\n",
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" source_bounds[:3], source_bounds[3:]))\n",
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"\n",
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"# Export to \"settings.xml\"\n",
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"settings_file.export_to_xml()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Let us also create a plot file that we can use to verify that our pin cell geometry was created successfully."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"# Instantiate a Plot\n",
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"plot = openmc.Plot(plot_id=1)\n",
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"plot.filename = 'materials-xy'\n",
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"plot.origin = [0, 0, 0]\n",
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"plot.width = [1.26, 1.26]\n",
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"plot.pixels = [250, 250]\n",
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"plot.color = 'mat'\n",
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"\n",
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"# Instantiate a PlotsFile, add Plot, and export to \"plots.xml\"\n",
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"plot_file = openmc.PlotsFile()\n",
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"plot_file.add_plot(plot)\n",
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"plot_file.export_to_xml()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"With the plots.xml file, we can now generate and view the plot. OpenMC outputs plots in .ppm format, which can be converted into a compressed format like .png with the convert utility."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"0"
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]
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},
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"execution_count": 12,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# Run openmc in plotting mode\n",
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"executor = openmc.Executor()\n",
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"executor.plot_geometry(output=False)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAAAPoAAAD6AgMAAAD1grKuAAAABGdBTUEAALGPC/xhBQAAACBjSFJN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\ngSrIowAAAABJRU5ErkJggg==\n",
|
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"text/plain": [
|
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"<IPython.core.display.Image object>"
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]
|
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},
|
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"execution_count": 13,
|
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"metadata": {},
|
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"output_type": "execute_result"
|
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}
|
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],
|
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"source": [
|
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"# Convert OpenMC's funky ppm to png\n",
|
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"!convert materials-xy.ppm materials-xy.png\n",
|
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"\n",
|
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"# Display the materials plot inline\n",
|
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"Image(filename='materials-xy.png')"
|
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]
|
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},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
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"As we can see from the plot, we have a nice pin cell with fuel, cladding, and water! Before we run our simulation, we need to tell the code what we want to tally. The following code shows how to create a 2D mesh tally."
|
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]
|
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},
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{
|
|
"cell_type": "code",
|
|
"execution_count": 14,
|
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"metadata": {
|
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"collapsed": true
|
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},
|
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"outputs": [],
|
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"source": [
|
|
"# Instantiate an empty TalliesFile\n",
|
|
"tallies_file = openmc.TalliesFile()"
|
|
]
|
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},
|
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{
|
|
"cell_type": "code",
|
|
"execution_count": 15,
|
|
"metadata": {
|
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"collapsed": false
|
|
},
|
|
"outputs": [],
|
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"source": [
|
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"# Create mesh which will be used for tally\n",
|
|
"mesh = openmc.Mesh()\n",
|
|
"mesh.dimension = [100, 100]\n",
|
|
"mesh.lower_left = [-0.63, -0.63]\n",
|
|
"mesh.upper_right = [0.63, 0.63]\n",
|
|
"tallies_file.add_mesh(mesh)\n",
|
|
"\n",
|
|
"# Create mesh filter for tally\n",
|
|
"mesh_filter = openmc.Filter(type='mesh', bins=[1])\n",
|
|
"mesh_filter.mesh = mesh\n",
|
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"\n",
|
|
"# Create mesh tally to score flux and fission rate\n",
|
|
"tally = openmc.Tally(name='flux')\n",
|
|
"tally.filters = [mesh_filter]\n",
|
|
"tally.scores = ['flux', 'fission']\n",
|
|
"tallies_file.add_tally(tally)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 16,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Export to \"tallies.xml\"\n",
|
|
"tallies_file.export_to_xml()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Now we a have a complete set of inputs, so we can go ahead and run our simulation."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 17,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"scrolled": true
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
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"text": [
|
|
"\n",
|
|
" .d88888b. 888b d888 .d8888b.\n",
|
|
" d88P\" \"Y88b 8888b d8888 d88P Y88b\n",
|
|
" 888 888 88888b.d88888 888 888\n",
|
|
" 888 888 88888b. .d88b. 88888b. 888Y88888P888 888 \n",
|
|
" 888 888 888 \"88b d8P Y8b 888 \"88b 888 Y888P 888 888 \n",
|
|
" 888 888 888 888 88888888 888 888 888 Y8P 888 888 888\n",
|
|
" Y88b. .d88P 888 d88P Y8b. 888 888 888 \" 888 Y88b d88P\n",
|
|
" \"Y88888P\" 88888P\" \"Y8888 888 888 888 888 \"Y8888P\"\n",
|
|
"__________________888______________________________________________________\n",
|
|
" 888\n",
|
|
" 888\n",
|
|
"\n",
|
|
" Copyright: 2011-2015 Massachusetts Institute of Technology\n",
|
|
" License: http://mit-crpg.github.io/openmc/license.html\n",
|
|
" Version: 0.7.1\n",
|
|
" Git SHA1: 5f252e2df51930b9175fd41bafa8db01f3eaeb92\n",
|
|
" Date/Time: 2016-03-23 13:12:56\n",
|
|
" MPI Processes: 1\n",
|
|
" OpenMP Threads: 16\n",
|
|
"\n",
|
|
" ===========================================================================\n",
|
|
" ========================> INITIALIZATION <=========================\n",
|
|
" ===========================================================================\n",
|
|
"\n",
|
|
" Reading settings XML file...\n",
|
|
" Reading cross sections XML file...\n",
|
|
" Reading geometry XML file...\n",
|
|
" Reading materials XML file...\n",
|
|
" Reading tallies XML file...\n",
|
|
" Building neighboring cells lists for each surface...\n",
|
|
" Loading ACE cross section table: 92235.71c\n",
|
|
" Loading ACE cross section table: 92238.71c\n",
|
|
" Loading ACE cross section table: 8016.71c\n",
|
|
" Loading ACE cross section table: 1001.71c\n",
|
|
" Loading ACE cross section table: 5010.71c\n",
|
|
" Loading ACE cross section table: 40090.71c\n",
|
|
" Maximum neutron transport energy: 20.0000 MeV for 92235.71c\n",
|
|
" Initializing source particles...\n",
|
|
"\n",
|
|
" ===========================================================================\n",
|
|
" ====================> K EIGENVALUE SIMULATION <====================\n",
|
|
" ===========================================================================\n",
|
|
"\n",
|
|
" Bat./Gen. k Average k \n",
|
|
" ========= ======== ==================== \n",
|
|
" 1/1 1.03019 \n",
|
|
" 2/1 1.06141 \n",
|
|
" 3/1 1.03988 \n",
|
|
" 4/1 1.02696 \n",
|
|
" 5/1 1.06159 \n",
|
|
" 6/1 1.03855 \n",
|
|
" 7/1 1.03452 \n",
|
|
" 8/1 1.04526 \n",
|
|
" 9/1 1.02137 \n",
|
|
" 10/1 1.02129 \n",
|
|
" 11/1 1.04810 \n",
|
|
" 12/1 1.00454 1.02632 +/- 0.02178\n",
|
|
" 13/1 1.06176 1.03813 +/- 0.01725\n",
|
|
" 14/1 1.02927 1.03592 +/- 0.01240\n",
|
|
" 15/1 1.06158 1.04105 +/- 0.01089\n",
|
|
" 16/1 1.02692 1.03870 +/- 0.00920\n",
|
|
" 17/1 1.06703 1.04274 +/- 0.00876\n",
|
|
" 18/1 1.02341 1.04033 +/- 0.00797\n",
|
|
" 19/1 1.06256 1.04280 +/- 0.00745\n",
|
|
" 20/1 1.04829 1.04335 +/- 0.00668\n",
|
|
" 21/1 1.01742 1.04099 +/- 0.00649\n",
|
|
" 22/1 1.01629 1.03893 +/- 0.00627\n",
|
|
" 23/1 1.01145 1.03682 +/- 0.00614\n",
|
|
" 24/1 1.05042 1.03779 +/- 0.00577\n",
|
|
" 25/1 1.02543 1.03696 +/- 0.00543\n",
|
|
" 26/1 1.04643 1.03756 +/- 0.00512\n",
|
|
" 27/1 1.03020 1.03712 +/- 0.00483\n",
|
|
" 28/1 1.04088 1.03733 +/- 0.00456\n",
|
|
" 29/1 1.03885 1.03741 +/- 0.00431\n",
|
|
" 30/1 1.05497 1.03829 +/- 0.00418\n",
|
|
" 31/1 1.01946 1.03739 +/- 0.00408\n",
|
|
" 32/1 1.07049 1.03890 +/- 0.00417\n",
|
|
" 33/1 1.05920 1.03978 +/- 0.00408\n",
|
|
" 34/1 1.04910 1.04017 +/- 0.00393\n",
|
|
" 35/1 1.03827 1.04009 +/- 0.00377\n",
|
|
" 36/1 1.08004 1.04163 +/- 0.00393\n",
|
|
" 37/1 1.05729 1.04221 +/- 0.00383\n",
|
|
" 38/1 1.00328 1.04082 +/- 0.00394\n",
|
|
" 39/1 1.04603 1.04100 +/- 0.00381\n",
|
|
" 40/1 1.03193 1.04070 +/- 0.00369\n",
|
|
" 41/1 1.05548 1.04117 +/- 0.00360\n",
|
|
" 42/1 1.03566 1.04100 +/- 0.00349\n",
|
|
" 43/1 1.02848 1.04062 +/- 0.00340\n",
|
|
" 44/1 1.01806 1.03996 +/- 0.00337\n",
|
|
" 45/1 1.05404 1.04036 +/- 0.00330\n",
|
|
" 46/1 1.06319 1.04099 +/- 0.00327\n",
|
|
" 47/1 1.03238 1.04076 +/- 0.00318\n",
|
|
" 48/1 1.07148 1.04157 +/- 0.00320\n",
|
|
" 49/1 1.06016 1.04205 +/- 0.00316\n",
|
|
" 50/1 1.02051 1.04151 +/- 0.00312\n",
|
|
" 51/1 1.04903 1.04169 +/- 0.00305\n",
|
|
" 52/1 1.06004 1.04213 +/- 0.00301\n",
|
|
" 53/1 1.04790 1.04226 +/- 0.00294\n",
|
|
" 54/1 1.03742 1.04215 +/- 0.00288\n",
|
|
" 55/1 1.05670 1.04248 +/- 0.00283\n",
|
|
" 56/1 1.02739 1.04215 +/- 0.00279\n",
|
|
" 57/1 1.03133 1.04192 +/- 0.00274\n",
|
|
" 58/1 1.00078 1.04106 +/- 0.00281\n",
|
|
" 59/1 1.06328 1.04151 +/- 0.00279\n",
|
|
" 60/1 1.02275 1.04114 +/- 0.00276\n",
|
|
" 61/1 1.04295 1.04117 +/- 0.00271\n",
|
|
" 62/1 1.06079 1.04155 +/- 0.00268\n",
|
|
" 63/1 1.02148 1.04117 +/- 0.00266\n",
|
|
" 64/1 1.04801 1.04130 +/- 0.00261\n",
|
|
" 65/1 1.03501 1.04119 +/- 0.00257\n",
|
|
" 66/1 1.07021 1.04170 +/- 0.00257\n",
|
|
" 67/1 1.01764 1.04128 +/- 0.00256\n",
|
|
" 68/1 1.02806 1.04105 +/- 0.00253\n",
|
|
" 69/1 1.01645 1.04064 +/- 0.00252\n",
|
|
" 70/1 1.03971 1.04062 +/- 0.00248\n",
|
|
" 71/1 1.06581 1.04103 +/- 0.00247\n",
|
|
" 72/1 1.03359 1.04091 +/- 0.00243\n",
|
|
" 73/1 1.02155 1.04061 +/- 0.00241\n",
|
|
" 74/1 1.06730 1.04102 +/- 0.00241\n",
|
|
" 75/1 1.03557 1.04094 +/- 0.00238\n",
|
|
" 76/1 1.03795 1.04089 +/- 0.00234\n",
|
|
" 77/1 1.02976 1.04073 +/- 0.00231\n",
|
|
" 78/1 1.02257 1.04046 +/- 0.00229\n",
|
|
" 79/1 1.05500 1.04067 +/- 0.00227\n",
|
|
" 80/1 1.03306 1.04056 +/- 0.00224\n",
|
|
" 81/1 1.04693 1.04065 +/- 0.00221\n",
|
|
" 82/1 1.02975 1.04050 +/- 0.00218\n",
|
|
" 83/1 1.07900 1.04103 +/- 0.00222\n",
|
|
" 84/1 1.02915 1.04087 +/- 0.00219\n",
|
|
" 85/1 1.03153 1.04074 +/- 0.00217\n",
|
|
" 86/1 1.05792 1.04097 +/- 0.00215\n",
|
|
" 87/1 1.06045 1.04122 +/- 0.00214\n",
|
|
" 88/1 1.08821 1.04182 +/- 0.00219\n",
|
|
" 89/1 1.08077 1.04232 +/- 0.00222\n",
|
|
" 90/1 1.06569 1.04261 +/- 0.00221\n",
|
|
" 91/1 1.04921 1.04269 +/- 0.00219\n",
|
|
" 92/1 1.04849 1.04276 +/- 0.00216\n",
|
|
" 93/1 1.06074 1.04298 +/- 0.00215\n",
|
|
" 94/1 1.04030 1.04295 +/- 0.00212\n",
|
|
" 95/1 1.03190 1.04282 +/- 0.00210\n",
|
|
" 96/1 1.04525 1.04285 +/- 0.00207\n",
|
|
" 97/1 1.08086 1.04328 +/- 0.00210\n",
|
|
" 98/1 1.04070 1.04325 +/- 0.00207\n",
|
|
" 99/1 1.05730 1.04341 +/- 0.00206\n",
|
|
" 100/1 1.05036 1.04349 +/- 0.00203\n",
|
|
" Creating state point statepoint.100.h5...\n",
|
|
"\n",
|
|
" ===========================================================================\n",
|
|
" ======================> SIMULATION FINISHED <======================\n",
|
|
" ===========================================================================\n",
|
|
"\n",
|
|
"\n",
|
|
" =======================> TIMING STATISTICS <=======================\n",
|
|
"\n",
|
|
" Total time for initialization = 4.4800E-01 seconds\n",
|
|
" Reading cross sections = 1.3300E-01 seconds\n",
|
|
" Total time in simulation = 4.6592E+01 seconds\n",
|
|
" Time in transport only = 4.4918E+01 seconds\n",
|
|
" Time in inactive batches = 1.1940E+00 seconds\n",
|
|
" Time in active batches = 4.5398E+01 seconds\n",
|
|
" Time synchronizing fission bank = 2.2000E-02 seconds\n",
|
|
" Sampling source sites = 1.5000E-02 seconds\n",
|
|
" SEND/RECV source sites = 4.0000E-03 seconds\n",
|
|
" Time accumulating tallies = 3.1000E-02 seconds\n",
|
|
" Total time for finalization = 2.7300E-01 seconds\n",
|
|
" Total time elapsed = 4.7345E+01 seconds\n",
|
|
" Calculation Rate (inactive) = 41876.0 neutrons/second\n",
|
|
" Calculation Rate (active) = 9912.33 neutrons/second\n",
|
|
"\n",
|
|
" ============================> RESULTS <============================\n",
|
|
"\n",
|
|
" k-effective (Collision) = 1.04225 +/- 0.00171\n",
|
|
" k-effective (Track-length) = 1.04349 +/- 0.00203\n",
|
|
" k-effective (Absorption) = 1.04192 +/- 0.00172\n",
|
|
" Combined k-effective = 1.04213 +/- 0.00141\n",
|
|
" Leakage Fraction = 0.00000 +/- 0.00000\n",
|
|
"\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"0"
|
|
]
|
|
},
|
|
"execution_count": 17,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Run OpenMC!\n",
|
|
"executor.run_simulation()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Tally Data Processing"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Our simulation ran successfully and created a statepoint file with all the tally data in it. We begin our analysis here loading the statepoint file and 'reading' the results. By default, data from the statepoint file is only read into memory when it is requested. This helps keep the memory use to a minimum even when a statepoint file may be huge."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 18,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"scrolled": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Load the statepoint file\n",
|
|
"sp = StatePoint('statepoint.100.h5')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Next we need to get the tally, which can be done with the ``StatePoint.get_tally(...)`` method."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 19,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Tally\n",
|
|
"\tID =\t10000\n",
|
|
"\tName =\t\n",
|
|
"\tFilters =\t\n",
|
|
" \t\tmesh\t[10000]\n",
|
|
"\tNuclides =\ttotal \n",
|
|
"\tScores =\t[u'flux', u'fission']\n",
|
|
"\tEstimator =\ttracklength\n",
|
|
"\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"tally = sp.get_tally(scores=['flux'])\n",
|
|
"print(tally)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"The statepoint file actually stores the sum and sum-of-squares for each tally bin from which the mean and variance can be calculated as described [here](http://mit-crpg.github.io/openmc/methods/tallies.html#variance). The sum and sum-of-squares can be accessed using the ``sum`` and ``sum_sq`` properties:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 20,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([[[ 0.41161103, 0. ]],\n",
|
|
"\n",
|
|
" [[ 0.41135796, 0. ]],\n",
|
|
"\n",
|
|
" [[ 0.41058715, 0. ]],\n",
|
|
"\n",
|
|
" ..., \n",
|
|
" [[ 0.40919256, 0. ]],\n",
|
|
"\n",
|
|
" [[ 0.41057119, 0. ]],\n",
|
|
"\n",
|
|
" [[ 0.41225079, 0. ]]])"
|
|
]
|
|
},
|
|
"execution_count": 20,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"tally.sum"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"However, the mean and standard deviation of the mean are usually what you are more interested in. The Tally class also has properties ``mean`` and ``std_dev`` which automatically calculate these statistics on-the-fly."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 21,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"(10000, 1, 2)\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"(array([[[ 0.00457346, 0. ]],\n",
|
|
" \n",
|
|
" [[ 0.00457064, 0. ]],\n",
|
|
" \n",
|
|
" [[ 0.00456208, 0. ]],\n",
|
|
" \n",
|
|
" ..., \n",
|
|
" [[ 0.00454658, 0. ]],\n",
|
|
" \n",
|
|
" [[ 0.0045619 , 0. ]],\n",
|
|
" \n",
|
|
" [[ 0.00458056, 0. ]]]),\n",
|
|
" array([[[ 1.92422804e-05, 0.00000000e+00]],\n",
|
|
" \n",
|
|
" [[ 1.58028832e-05, 0.00000000e+00]],\n",
|
|
" \n",
|
|
" [[ 1.56204065e-05, 0.00000000e+00]],\n",
|
|
" \n",
|
|
" ..., \n",
|
|
" [[ 1.98926652e-05, 0.00000000e+00]],\n",
|
|
" \n",
|
|
" [[ 1.70440988e-05, 0.00000000e+00]],\n",
|
|
" \n",
|
|
" [[ 2.05592499e-05, 0.00000000e+00]]]))"
|
|
]
|
|
},
|
|
"execution_count": 21,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"print(tally.mean.shape)\n",
|
|
"(tally.mean, tally.std_dev)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"The tally data has three dimensions: one for filter combinations, one for nuclides, and one for scores. We see that there are 10000 filter combinations (corresponding to the 100 x 100 mesh bins), a single nuclide (since none was specified), and two scores. If we only want to look at a single score, we can use the ``get_slice(...)`` method as follows."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 22,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Tally\n",
|
|
"\tID =\t10001\n",
|
|
"\tName =\t\n",
|
|
"\tFilters =\t\n",
|
|
" \t\tmesh\t[10000]\n",
|
|
"\tNuclides =\ttotal \n",
|
|
"\tScores =\t[u'flux']\n",
|
|
"\tEstimator =\ttracklength\n",
|
|
"\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"flux = tally.get_slice(scores=['flux'])\n",
|
|
"fission = tally.get_slice(scores=['fission'])\n",
|
|
"print(flux)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"To get the bins into a form that we can plot, we can simply change the shape of the array since it is a numpy array."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 23,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"flux.std_dev.shape = (100, 100)\n",
|
|
"flux.mean.shape = (100, 100)\n",
|
|
"fission.std_dev.shape = (100, 100)\n",
|
|
"fission.mean.shape = (100, 100)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 24,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.image.AxesImage at 0x7f9020ba6fd0>"
|
|
]
|
|
},
|
|
"execution_count": 24,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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R6WcLB4kdepBwOOtd5BC3MASd2FaNYLbNjemjiGGHhFfk7/CH3BCOcJGzexfxVAsvBnGl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Eei7MyE6V/fZEPv5XuDZzAFsdudUAyjYNDEz2VOUCfAiLzCp4Jfw3dQZ35jkn9+/n+lMBTDM9ok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J4x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\n87qEMGb9LAAAAABJRU5ErkJggg==\n",
|
|
"text/plain": [
|
|
"<matplotlib.figure.Figure at 0x7f90239e4b10>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"fig = plt.subplot(121)\n",
|
|
"fig.imshow(flux.mean)\n",
|
|
"fig2 = plt.subplot(122)\n",
|
|
"fig2.imshow(fission.mean)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Now let's say we want to look at the distribution of relative errors of our tally bins for flux. First we create a new variable called ``relative_error`` and set it to the ratio of the standard deviation and the mean, being careful not to divide by zero in case some bins were never scored to."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 25,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAYwAAAEACAYAAACgS0HpAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABJRU5ErkJggg==\n",
|
|
"text/plain": [
|
|
"<matplotlib.figure.Figure at 0x7f90239e4c90>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Determine relative error\n",
|
|
"relative_error = np.zeros_like(flux.std_dev)\n",
|
|
"nonzero = flux.mean > 0\n",
|
|
"relative_error[nonzero] = flux.std_dev[nonzero] / flux.mean[nonzero]\n",
|
|
"\n",
|
|
"# distribution of relative errors\n",
|
|
"ret = plt.hist(relative_error[nonzero], bins=50)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Source Sites"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Source sites can be accessed from the ``source`` property. As shown below, the source sites are represented as a numpy array with a structured datatype."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 26,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([ (1.0, [0.09184833943086697, -0.23957301713645024, 0.35275256701073315], [0.6943502674814661, -0.18996972225593808, 0.694110373553384], 1.8499326750790277, 0),\n",
|
|
" (1.0, [0.09184833943086697, -0.23957301713645024, 0.35275256701073315], [0.5159084442036803, 0.8277435289738373, -0.22063346854291235], 0.08218797495117988, 0),\n",
|
|
" (1.0, [0.20806026831237243, 0.2806741437409227, 0.5336799247482618], [0.1279254678841002, 0.5275600667322506, -0.8398306083110433], 3.0474103747828187, 0),\n",
|
|
" ...,\n",
|
|
" (1.0, [-0.19031412582761326, 0.09385643210497185, -0.22790301416803052], [0.5932941753311154, -0.7955471372215329, 0.12290961710458291], 1.9935677118802835, 0),\n",
|
|
" (1.0, [-0.19031412582761326, 0.09385643210497185, -0.22790301416803052], [-0.8965339181960187, -0.33727511250097575, 0.2871801386091118], 9.772336043367204, 0),\n",
|
|
" (1.0, [-0.19031412582761326, 0.09385643210497185, -0.22790301416803052], [0.5932941753311154, -0.7955471372215329, 0.12290961710458291], 1.9935677118802835, 0)], \n",
|
|
" dtype=[('wgt', '<f8'), ('xyz', '<f8', (3,)), ('uvw', '<f8', (3,)), ('E', '<f8'), ('delayed_group', '<i4')])"
|
|
]
|
|
},
|
|
"execution_count": 26,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"sp.source"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"If we want, say, only the energies from the source sites, we can simply index the source array with the name of the field:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 27,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([ 1.84993268, 0.08218797, 3.04741037, ..., 1.99356771,\n",
|
|
" 9.77233604, 1.99356771])"
|
|
]
|
|
},
|
|
"execution_count": 27,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"sp.source['E']"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Now, we can look at things like the energy distribution of source sites. Note that we don't directly use the ``matplotlib.pyplot.hist`` method since our binning is logarithmic."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 28,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"1.0\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.text.Text at 0x7f901ebe1390>"
|
|
]
|
|
},
|
|
"execution_count": 28,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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DIGkecBvwt602SudQvwZ4KXAfsF3SZyNivKbOUmBeRCyQdB6wDlhcs5u3AfeSPMDRzMwK\not3Huf9sMnmkvkfyQMWpLAImImJvOu3tRmC0rs4osAEgIrYBsyTNBpB0OnAR8LE24zSzPhgebj4D\n39BQv6OzvEx1FdYl6ctvSdoM3EwyBvI7wPY29j+HZO70SftJkkqrOgfSsoPAB4B3ArPaOJaZ9cnh\nw8Xo17femqoL6+Ka1weBC9LX/wKckktEqXTc5WBE7JRU4ZG5SBoaGxs7/rpSqVCpVPIMz8ysVKrV\nKtVqtav7zPVGQkmLgbGIGEmXVwMREWtq6qwDtkbETenyOEmiehvwWuBhkmT1BOAzEbGiwXF8FZZZ\nHxXlyqIyKEpb9XJO9JOBNwLnACdPlkfEG6bY7jHAd0gG0X8EfBNYHhG7aupcBLwlIl6ZJpwPRsTi\nuv1cALyj2Y2LTiBm/VWUL8UyKEpb9XJO9OuBXyeZofArJDMUTjmIHhHHgFXAFuAeYGNE7JK0UtLl\naZ3NwPcl7QE+Cry543dhZmY91+4ZyI6IeJ6kOyPiOZIeC3yt/kyhX3wGYtZfRfmrugyK0la9PAM5\nmv4+IulZJFdF/fvpHNjMzMqt3RsJ10saAt4FbCKZofBduUVlZoUzPJxcrtuI7/U4Mflx7mbWlqJ0\nvZRdUdqxl8/CerKkD6XPpLpd0gclPXk6BzYzs3JrdwxkI/Bj4FLg1cBPgJvyCsrMzIqv3auw7o6I\nZ9WV3RURz84tsg64C8ssf0Xpeim7orRjL6/C2iJpWfpo9RmSfhf44nQObGZm5dbyDETSz0genijg\nNOCX6aoZwAMRUYhHrPsMxCx/RfnLueyK0o65z4keEU+Yzs7NzGxwtXsfCJJeBbwkXaxGxOfzCcnM\nzMqg3ct438sjMwPeC7xN0nvyDMzMzIqt3auw7gQWRsQv0+XHADsi4jk5x9cWj4GY5a8offdlV5R2\n7OVVWABPqnntGQLNzDIYGmo+/e/wcL+j60y7YyDvAXZI2kpyRdZLgNW5RWVmNqAOHWq+TtM6H+i9\nKbuwJIlk/o+HgRekxd+MiH/OOba2uQvLLH9F6XoZZL1s417OSFiYu84bcQIxy58TSP7KlkDaHQO5\nQ9ILpq72qySNSBqXtFvSlU3qrJU0IWmnpIVp2eMkbZO0Q9Jdkq7KcnwzM8tHu2cg48AC4AfAgyTj\nIDHVVViSZgC7SeZEvw/YDiyLiPGaOkuBVemc6OcBV0/OdCjp1Ih4KL3q6x+AKyLimw2O4zMQs5z5\nDCR/ZTsDaXcQfUnG/S8CJiJiL4CkjcAoMF5TZxTYABAR2yTNkjQ7Ig5GxENpncelsfrja5YjTxpl\nnWiZQCSdDPwBMB+4C7g2Ih7uYP9zgH01y/tJkkqrOgfSsoPpGcztwDzgwxGxvYNjm1mHDh/2WYa1\nb6ozkE+QzIf+NWApcDbJHek9kd64+DxJTwT+r6SzI+LeRnXHxsaOv65UKlQqlZ7EaGZWBtVqlWq1\n2tV9TvU03uNXX0maSXL57rlt71xaDIxFxEi6vJpk7GRNTZ11wNaIuCldHgcuiIiDdft6F/BgRLy/\nwXE8BmLWBR7n6K+yjYFMdRXW0ckXHXZdTdoOzJc0V9JJwDJgU12dTcAKOJ5wjkTEQUn/TtKstPwU\n4OU8euzEzMz6aKourOdK+mn6WsAp6fLkVVgt5wOJiGOSVgFbSJLVtRGxS9LKdPv1EbFZ0kWS9pBc\n4XVZuvlTgE+k4yAzgJsiYnOmd2lmZl3X1mW8RecuLLPucBdWfw1aF5aZmVlDTiBmZpaJE4iZmWXi\nBGJmZpk4gZiZWSZOIGZmlokTiJmZZeIEYnYCGh5uPCe3n7hrnfCNhGYnIN8wWEy+kdDMzE4ITiBm\nZpaJE4iZmWXiBGJmZpk4gZiZWSZOIGZmlokTiJmZZZJ7ApE0Imlc0m5JVzaps1bShKSdkhamZadL\n+ntJ90i6S9IVecdqZmbtyzWBpNPRXgMsAc4Blks6q67OUmBeRCwAVgLr0lUPA2+PiHOAFwJvqd/W\nzMz6J+8zkEXARETsjYijwEZgtK7OKLABICK2AbMkzY6If46InWn5A8AuYE7O8ZqZWZvyTiBzgH01\ny/v51SRQX+dAfR1JvwEsBLZ1PUIzM8tkZr8DmIqkxwOfAt6Wnok0NDY2dvx1pVKhUqnkHpuZWVlU\nq1Wq1WpX95nrwxQlLQbGImIkXV4NRESsqamzDtgaETely+PABRFxUNJM4PPA30bE1S2O44cpmtUZ\nHobDhxuvGxqCQ4d6G49NzQ9TfLTtwHxJcyWdBCwDNtXV2QSsgOMJ50hEHEzX/R/g3lbJw8waO3w4\n+TJq9OPkYd2QaxdWRByTtArYQpKsro2IXZJWJqtjfURslnSRpD3Ag8DrASSdD/w+cJekHUAAfxwR\nX8gzZjMza4/nAzEbUJ7zo3zchWVmZicEJxAzM8vECcTMzDJxAjEzK4ihoWQcpNHP8HC/o/tVHkQ3\nG1AeRB8s3f739CC6mZn1jROImZll4gRiZmaZOIGYmVkmTiBmZpaJE4iZmWXiBGJmZpk4gZiZWSZO\nIGZmJVDEu9R9J7rZgPKd6CeOLP/WvhPd7AQwPFy8vzzNoAcJRNKIpHFJuyVd2aTOWkkTknZKel5N\n+bWSDkq6M+84zYqq1dS0zeY8N+uFXBOIpBnANcAS4BxguaSz6uosBeZFxAJgJfCRmtXXpduaWQOt\n+sWHhvodnQ26vM9AFgETEbE3Io4CG4HRujqjwAaAiNgGzJI0O13+OuC/scyaOHSo+dnJoUP9js4G\nXd4JZA6wr2Z5f1rWqs6BBnXMzKxgZvY7gG4ZGxs7/rpSqVCpVPoWi5lZ0VSrVarValf3metlvJIW\nA2MRMZIurwYiItbU1FkHbI2Im9LlceCCiDiYLs8FPhcRz2lxHF/Ga6U2PNx8QHxoyN1R1tqgXsa7\nHZgvaa6kk4BlwKa6OpuAFXA84RyZTB4ppT9mA6vVlVZOHlZUuSaQiDgGrAK2APcAGyNil6SVki5P\n62wGvi9pD/BR4M2T20u6AfgGcKakH0q6LM94zcysfb4T3awAfNe4TcegdmGZmdmAcgIxM7NMnEDM\nzCwTJxAzM8vECcSsR1o9VdfPrbIy8lVYZj3iK60sL74Ky8zMSsUJxMzMMnECMcug1XiGxznsRDEw\nT+M166XJZ1eZFcHkxGLN5PVZ9SC6WQYeELey8yC6mZn1jROImZll4gRi1oRv/DNrzWMgVjhFmZ3P\n4xw2yEoxBiJpRNK4pN2SrmxSZ62kCUk7JS3sZFvrrm7PmZxFq9n5miWWVmcLw8O9jb9WEdpzkLg9\niyXXBCJpBnANsAQ4B1gu6ay6OkuBeRGxAFgJrGt3W+u+ov8Hnbxcsf4Hmicd6PyejW51UxW9PcvG\n7VkseZ+BLAImImJvRBwFNgKjdXVGgQ0AEbENmCVpdpvb9sx0PrjtbjtVvVbrG61rp6wf/yGnc8zP\nfKba9rzhk8c5dKhxYtm6tfG+Jsvr9zmI7dmvz2azcrfn1Ouz/l9v57idyjuBzAH21SzvT8vaqdPO\ntj0zKB+qpUurj/or+8ILq1N29WS567rVT+0xO/3Lv5N/h6zt6S+8zus5gXS27aAkkFwH0SVdCiyJ\niMvT5dcCiyLiipo6nwPeExHfSJe/DPwR8PSptq3Zh4c6zcw6NN1B9LwfZXIAOKNm+fS0rL7O0xrU\nOamNbYHpN4KZmXUu7y6s7cB8SXMlnQQsAzbV1dkErACQtBg4EhEH29zWzMz6JNczkIg4JmkVsIUk\nWV0bEbskrUxWx/qI2CzpIkl7gAeBy1ptm2e8ZmbWvoG4kdDMzHrPjzIxM7NMnEDMzCyTgU0gks6S\n9BFJN0v6g37HU3aSRiWtl3SjpJf3O54yk/R0SR+TdHO/Yyk7SadK+rikj0r6vX7HU3adfjYHfgxE\nkoBPRMSKfscyCCQ9CfiLiHhTv2MpO0k3R8Tv9juOMkvvDzscEbdJ2hgRy/od0yBo97NZ+DMQSddK\nOijpzrrydh7SeDHweWBzL2Itg+m0Z+p/AB/ON8py6EJbWp0MbXo6jzyx4ljPAi2JvD+jhU8gwHUk\nD1Q8rtWDFiW9TtL7JT0lIj4XEa8EXtvroAssa3s+VdJ7gc0RsbPXQRdU5s/mZPVeBlsSHbUpSfI4\nfbJqr4IskU7b83i1dnZe+AQSEV8H6h/i3fRBixFxfUS8HThT0tWS1gG39TToAptGe14KvBR4taTL\nexlzUU2jLX8h6SPAQp+hPFqnbQrcSvKZ/DDwud5FWg6dtqek4U4+m3k/yiQvjR60uKi2QkR8BfhK\nL4MqsXba80PAh3oZVEm105aHgP/ay6BKrmmbRsRDwBv6EVSJtWrPjj6bhT8DMTOzYiprAmnnIY3W\nPrdn97gtu89t2l1da8+yJBDx6EEdP2hxetye3eO27D63aXfl1p6FTyCSbgC+QTIo/kNJl0XEMeCt\nJA9avAfY6Acttsft2T1uy+5zm3ZX3u058DcSmplZPgp/BmJmZsXkBGJmZpk4gZiZWSZOIGZmlokT\niJmZZeIEYmZmmTiBmJlZJk4gNrAkHZN0h6Qd6e8/6ndMkyTdIuk30tc/kPSVuvU76+dwaLCP70pa\nUFf2AUnvlPQsSdd1O26zWmV9Gq9ZOx6MiHO7uUNJj0nv5J3OPs4GZkTED9KiAJ4gaU5EHEjnZmjn\nDt8bSR5D8afpfgW8GnhhROyXNEfS6RGxfzrxmjXjMxAbZA0nxZH0fUljkm6X9G1JZ6blp6YzuP1T\nuu7itPw/S/qspL8DvqzEX0m6V9IWSbdJukTShZJurTnOyyR9pkEIvw98tq7sZpJkALAcuKFmPzMk\n/bmkbemZyeR0whtrtgF4CfCDmoTx+br1Zl3lBGKD7JS6LqzfqVn344j4D8A64L+nZX8C/F1ELAZ+\nC/hLSaek654HXBIRFwKXAGdExNnA64AXAkTEVuCZkp6cbnMZcG2DuM4Hbq9ZDuDTwG+nyxfz6MmR\n3ggciYjzSOZtuFzS3Ii4Gzgm6dlpvWUkZyWTvgW8uFUDmU2Hu7BskD3Uogtr8kzhdh754n4FcLGk\nd6bLJ/HIY6+/FBH3p69fBNwCEBEHJW2t2e/1wGslfRxYTJJg6j0F+Je6sn8FDkt6DXAv8POada8A\nnl2TAJ8ILAD2kp6FSLoX+E/A/6zZ7sfAUxu+e7MucAKxE9Uv0t/HeOT/gYBLI2KitqKkxcCDbe73\n4yRnD78AbomIXzao8xBwcoPym4EPAyvqygW8NSK+1GCbjSRPVf0q8O2IqE1MJ/PoRGTWVe7CskHW\ncAykhS8CVxzfWFrYpN4/AJemYyGzgcrkioj4EXAfSXdYs6ugdgHzG8R5K7CGJCHUx/VmSTPTuBZM\ndq1FxPeAnwDv5dHdVwBnAnc3icFs2pxAbJCdXDcG8u60vNkVTn8KPFbSnZLuBv53k3qfJplH+h5g\nA0k32P016z8J7IuI7zTZfjNwYc1yAETEAxHxFxHxcF39j5F0a90h6S6ScZva3oMbgWcC9QP2FwK3\nNYnBbNo8H4hZBpJOi4gHJQ0D24DzI+LH6boPAXdERMMzEEknA3+fbpPLf8B0prkq8KIm3Whm0+YE\nYpZBOnD+JOCxwJqIuD4t/xbwAPDyiDjaYvuXA7vyukdD0nzgqRHx1Tz2bwZOIGZmlpHHQMzMLBMn\nEDMzy8QJxMzMMnECMTOzTJxAzMwsk/8Pmq0TNsrj52MAAAAASUVORK5CYII=\n",
|
|
"text/plain": [
|
|
"<matplotlib.figure.Figure at 0x7f901ecabbd0>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Create log-spaced energy bins from 1 keV to 100 MeV\n",
|
|
"energy_bins = np.logspace(-3,1)\n",
|
|
"\n",
|
|
"# Calculate pdf for source energies\n",
|
|
"probability, bin_edges = np.histogram(sp.source['E'], energy_bins, density=True)\n",
|
|
"\n",
|
|
"# Make sure integrating the PDF gives us unity\n",
|
|
"print(sum(probability*np.diff(energy_bins)))\n",
|
|
"\n",
|
|
"# Plot source energy PDF\n",
|
|
"plt.semilogx(energy_bins[:-1], probability*np.diff(energy_bins), linestyle='steps')\n",
|
|
"plt.xlabel('Energy (MeV)')\n",
|
|
"plt.ylabel('Probability/MeV')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Let's also look at the spatial distribution of the sites. To make the plot a little more interesting, we can also include the direction of the particle emitted from the source and color each source by the logarithm of its energy."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 29,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"(-0.5, 0.5)"
|
|
]
|
|
},
|
|
"execution_count": 29,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
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"image/png": 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JMGgaEUcfxvr1YoIe8SPHmGHbXHxXe9Hk65C+aHyKhD3PoqvNhoJaQvxe/H4d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\nGt0ITZQ1NDQ0uhH/DznvrI6ebgS5AAAAAElFTkSuQmCC\n",
|
|
"text/plain": [
|
|
"<matplotlib.figure.Figure at 0x7f901eb534d0>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.quiver(sp.source['xyz'][:,0], sp.source['xyz'][:,1],\n",
|
|
" sp.source['uvw'][:,0], sp.source['uvw'][:,1],\n",
|
|
" np.log(sp.source['E']), cmap='jet', scale=20.0)\n",
|
|
"plt.colorbar()\n",
|
|
"plt.xlim((-0.5,0.5))\n",
|
|
"plt.ylim((-0.5,0.5))"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 2",
|
|
"language": "python",
|
|
"name": "python2"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 2
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython2",
|
|
"version": "2.7.11"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 0
|
|
}
|