pincell_msr_dnf.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8b2785df",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[ca-ws:1426365] mca_base_component_repository_open: unable to open mca_accelerator_rocm: libamdhip64.so.6: cannot open shared object file: No such file or directory (ignored)\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import os\n",
    "from math import pi\n",
    "import openmc\n",
    "import openmc.deplete\n",
    "import matplotlib.pyplot as plt\n",
    "import re\n",
    "from matplotlib.pyplot import Line2D"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1288c79a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.system('rm *.h5 *.xml')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ef97d0e-39ff-45cd-ae8b-bf10a84d8e72",
   "metadata": {},
   "source": [
    "We will add an arbitrary out-of-core fuel salt depletable material, with the same material definition and placed it outside of the core region (subjected to only decay). We will then set up transfer rates for the all fuel salt inventory from in-core to out-of core and vice versa as a function of their residence times. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "45acfbc9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Instantiate some Materials and register the appropriate Nuclides\n",
    "uf4 = openmc.Material(name='UF4')\n",
    "uf4.set_density('g/cm3', 4.5)\n",
    "uf4.add_element('U', 1., enrichment=2.4)\n",
    "uf4.add_element('F', 4.)\n",
    "\n",
    "helium = openmc.Material(name='Helium for gap')\n",
    "helium.set_density('g/cm3', 0.001598)\n",
    "helium.add_element('He', 2.4044e-4)\n",
    "\n",
    "zircaloy = openmc.Material(name='Zircaloy 4')\n",
    "zircaloy.set_density('g/cm3', 6.55)\n",
    "zircaloy.add_element('Sn', 0.014, 'wo')\n",
    "zircaloy.add_element('Fe', 0.00165, 'wo')\n",
    "zircaloy.add_element('Cr', 0.001, 'wo')\n",
    "zircaloy.add_element('Zr', 0.98335, 'wo')\n",
    "\n",
    "borated_water = openmc.Material(name='Borated water')\n",
    "borated_water.set_density('g/cm3', 0.740582)\n",
    "borated_water.add_element('B', 4.0e-5)\n",
    "borated_water.add_element('H', 5.0e-2)\n",
    "borated_water.add_element('O', 2.4e-2)\n",
    "borated_water.add_s_alpha_beta('c_H_in_H2O')\n",
    "\n",
    "ofc_uf4 = uf4.clone()\n",
    "ofc_uf4.name = 'UF4_ofc'\n",
    "# Define overall material\n",
    "material = openmc.Materials([uf4, helium, zircaloy, borated_water, ofc_uf4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "be80a9b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define surfaces\n",
    "width = 1.25984\n",
    "height = 200\n",
    "ofc_r = 2\n",
    "fuel_or = openmc.ZCylinder(r=0.39218, name='Fuel OR')\n",
    "clad_ir = openmc.ZCylinder(r=0.40005, name='Clad IR')\n",
    "clad_or = openmc.ZCylinder(r=0.45720, name='Clad OR')\n",
    "wat_or = openmc.ZCylinder(r=width/2, name='H2O OR', boundary_type='reflective')\n",
    "interface = openmc.ZPlane(z0=-59, name='IF')\n",
    "z_top = openmc.ZPlane(z0=height/2, name='Pin TOP', boundary_type='vacuum')\n",
    "z_bot = openmc.ZPlane(z0=-height/2, name='Pin BOT', boundary_type='vacuum')\n",
    "ofc_surf = openmc.Sphere(x0 = 15, r = ofc_r, boundary_type = 'vacuum') \n",
    "\n",
    "# Define cells\n",
    "fuel = openmc.Cell(fill=uf4, region=-fuel_or & -z_top & +z_bot)\n",
    "gap = openmc.Cell(fill=helium, region=+fuel_or & -clad_ir & -z_top & +z_bot)\n",
    "clad = openmc.Cell(fill=zircaloy, region=+clad_ir & -clad_or & -z_top & +z_bot)\n",
    "water = openmc.Cell(fill=borated_water, region=+clad_or & -interface )\n",
    "gas = openmc.Cell(fill=helium, region=+clad_or & +interface)\n",
    "msr_uni = openmc.Universe(cells=(water, gas))\n",
    "msr = openmc.Cell(name=\"MSR\", fill=msr_uni, region=-wat_or & -z_top & +z_bot)\n",
    "ofc_fuel = openmc.Cell(fill=ofc_uf4, region=-ofc_surf)\n",
    "root = openmc.Universe(cells=[fuel, gap, clad, msr, ofc_fuel])\n",
    "# Define overall geometry\n",
    "geometry = openmc.Geometry(root)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "ffb4a60e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Instantiate a Settings object, set all runtime parameters, and export to XML\n",
    "settings = openmc.Settings()\n",
    "settings.batches = 100\n",
    "settings.inactive = 10\n",
    "settings.particles = 1000\n",
    "\n",
    "# Create an initial uniform spatial source distribution over fissionable zones\n",
    "bounds = [-0.62992, -0.62992, -100, 0.62992, 0.62992, 100]\n",
    "uniform_dist = openmc.stats.Box(bounds[:3], bounds[3:], only_fissionable=True)\n",
    "settings.source = openmc.source.IndependentSource(space=uniform_dist)\n",
    "\n",
    "#Build the model\n",
    "model = openmc.Model(geometry=geometry, materials=material, settings=settings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "be46b587",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='x [cm]', ylabel='z [cm]'>"
      ]
     },
     "execution_count": 39,
     "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": [
    "# Create plot\n",
    "colors = {uf4:'red', helium:'cyan', borated_water: 'blue', zircaloy: 'gray', ofc_uf4: 'red'}\n",
    "root.plot(width=(50, 50), origin=(0,0,0), pixels=(200, 200), basis='xz', color_by='material', colors=colors, legend=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d54b8e6-6303-4989-bf2e-b3d4f4e77a4a",
   "metadata": {},
   "source": [
    "To simulate the continuous circulation of fuel salt from in-core to out-of-core and vice versa, we can set up inventory transfers, by making use of `TransferRates` methodology, with trasnfer rates $\\lambda_i$ defined as: \n",
    "\n",
    "\\begin{equation}\n",
    "\\lambda_i = \\frac{1}{V_i \\dot{m}_i}\n",
    "\\end{equation}\n",
    "\n",
    "where $V_i$ is the fuel salt volume of the material we're transferring from and $\\dot{m}_i$ the flow rate. \n",
    "\n",
    "In this example, we will set the fuel salt out-of-core volume being 3 times larger than the one in-core."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "561fee7d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                %%%%%%%%%%%%%%%\n",
      "                           %%%%%%%%%%%%%%%%%%%%%%%%\n",
      "                        %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
      "                      %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
      "                    %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
      "                   %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
      "                                    %%%%%%%%%%%%%%%%%%%%%%%%\n",
      "                                     %%%%%%%%%%%%%%%%%%%%%%%%\n",
      "                 ###############      %%%%%%%%%%%%%%%%%%%%%%%%\n",
      "                ##################     %%%%%%%%%%%%%%%%%%%%%%%\n",
      "                ###################     %%%%%%%%%%%%%%%%%%%%%%%\n",
      "                ####################     %%%%%%%%%%%%%%%%%%%%%%\n",
      "                #####################     %%%%%%%%%%%%%%%%%%%%%\n",
      "                ######################     %%%%%%%%%%%%%%%%%%%%\n",
      "                #######################     %%%%%%%%%%%%%%%%%%\n",
      "                 #######################     %%%%%%%%%%%%%%%%%\n",
      "                 ######################     %%%%%%%%%%%%%%%%%\n",
      "                  ####################     %%%%%%%%%%%%%%%%%\n",
      "                    #################     %%%%%%%%%%%%%%%%%\n",
      "                     ###############     %%%%%%%%%%%%%%%%\n",
      "                       ############     %%%%%%%%%%%%%%%\n",
      "                          ########     %%%%%%%%%%%%%%\n",
      "                                      %%%%%%%%%%%\n",
      "\n",
      "                 | The OpenMC Monte Carlo Code\n",
      "       Copyright | 2011-2024 MIT, UChicago Argonne LLC, and contributors\n",
      "         License | https://docs.openmc.org/en/latest/license.html\n",
      "         Version | 0.14.1-dev\n",
      "        Git SHA1 | d93ac83697e7fdb4fd4cc0f2705795398bf804bd\n",
      "       Date/Time | 2024-04-18 16:35:35\n",
      "   MPI Processes | 1\n",
      "  OpenMP Threads | 56\n",
      "\n",
      " Reading settings XML file...\n",
      " Reading cross sections XML file...\n",
      " Reading materials XML file...\n",
      " Reading geometry XML file...\n",
      " Reading F19 from /home/lorenzo/nuclear_data/endfb80_hdf5/F19.h5\n",
      " Reading U234 from /home/lorenzo/nuclear_data/endfb80_hdf5/U234.h5\n",
      " Reading U235 from /home/lorenzo/nuclear_data/endfb80_hdf5/U235.h5\n",
      " Reading U236 from /home/lorenzo/nuclear_data/endfb80_hdf5/U236.h5\n",
      " Reading U238 from /home/lorenzo/nuclear_data/endfb80_hdf5/U238.h5\n",
      " Reading He3 from /home/lorenzo/nuclear_data/endfb80_hdf5/He3.h5\n",
      " Reading He4 from /home/lorenzo/nuclear_data/endfb80_hdf5/He4.h5\n",
      " Reading Cr50 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cr50.h5\n",
      " Reading Cr52 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cr52.h5\n",
      " Reading Cr53 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cr53.h5\n",
      " Reading Cr54 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cr54.h5\n",
      " Reading Fe54 from /home/lorenzo/nuclear_data/endfb80_hdf5/Fe54.h5\n",
      " Reading Fe56 from /home/lorenzo/nuclear_data/endfb80_hdf5/Fe56.h5\n",
      " Reading Fe57 from /home/lorenzo/nuclear_data/endfb80_hdf5/Fe57.h5\n",
      " Reading Fe58 from /home/lorenzo/nuclear_data/endfb80_hdf5/Fe58.h5\n",
      " Reading Zr90 from /home/lorenzo/nuclear_data/endfb80_hdf5/Zr90.h5\n",
      " Reading Zr91 from /home/lorenzo/nuclear_data/endfb80_hdf5/Zr91.h5\n",
      " Reading Zr92 from /home/lorenzo/nuclear_data/endfb80_hdf5/Zr92.h5\n",
      " Reading Zr94 from /home/lorenzo/nuclear_data/endfb80_hdf5/Zr94.h5\n",
      " Reading Zr96 from /home/lorenzo/nuclear_data/endfb80_hdf5/Zr96.h5\n",
      " Reading Sn112 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sn112.h5\n",
      " Reading Sn114 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sn114.h5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " WARNING: Negative value(s) found on probability table for nuclide Zr96 at 294K\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Reading Sn115 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sn115.h5\n",
      " Reading Sn116 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sn116.h5\n",
      " Reading Sn117 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sn117.h5\n",
      " Reading Sn118 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sn118.h5\n",
      " Reading Sn119 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sn119.h5\n",
      " Reading Sn120 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sn120.h5\n",
      " Reading Sn122 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sn122.h5\n",
      " Reading Sn124 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sn124.h5\n",
      " Reading H1 from /home/lorenzo/nuclear_data/endfb80_hdf5/H1.h5\n",
      " Reading H2 from /home/lorenzo/nuclear_data/endfb80_hdf5/H2.h5\n",
      " Reading B10 from /home/lorenzo/nuclear_data/endfb80_hdf5/B10.h5\n",
      " Reading B11 from /home/lorenzo/nuclear_data/endfb80_hdf5/B11.h5\n",
      " Reading O16 from /home/lorenzo/nuclear_data/endfb80_hdf5/O16.h5\n",
      " Reading O17 from /home/lorenzo/nuclear_data/endfb80_hdf5/O17.h5\n",
      " Reading O18 from /home/lorenzo/nuclear_data/endfb80_hdf5/O18.h5\n",
      " Reading c_H_in_H2O from /home/lorenzo/nuclear_data/endfb80_hdf5/c_H_in_H2O.h5\n",
      " Minimum neutron data temperature: 0 K\n",
      " Maximum neutron data temperature: 1.7976931348623157e+308 K\n",
      " Preparing distributed cell instances...\n",
      " Reading plot XML file...\n",
      " Writing summary.h5 file...\n",
      "[openmc.deplete] t=0.0 s, dt=86400.0 s, source=100000.0\n",
      " Reading H3 from /home/lorenzo/nuclear_data/endfb80_hdf5/H3.h5\n",
      " Reading Li6 from /home/lorenzo/nuclear_data/endfb80_hdf5/Li6.h5\n",
      " Reading Li7 from /home/lorenzo/nuclear_data/endfb80_hdf5/Li7.h5\n",
      " Reading Be7 from /home/lorenzo/nuclear_data/endfb80_hdf5/Be7.h5\n",
      " Reading Be9 from /home/lorenzo/nuclear_data/endfb80_hdf5/Be9.h5\n",
      " Reading C12 from /home/lorenzo/nuclear_data/endfb80_hdf5/C12.h5\n",
      " Reading C13 from /home/lorenzo/nuclear_data/endfb80_hdf5/C13.h5\n",
      " Reading N14 from /home/lorenzo/nuclear_data/endfb80_hdf5/N14.h5\n",
      " Reading N15 from /home/lorenzo/nuclear_data/endfb80_hdf5/N15.h5\n",
      " Reading Ne20 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ne20.h5\n",
      " Reading Ne21 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ne21.h5\n",
      " Reading Ne22 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ne22.h5\n",
      " Reading Na22 from /home/lorenzo/nuclear_data/endfb80_hdf5/Na22.h5\n",
      " Reading Na23 from /home/lorenzo/nuclear_data/endfb80_hdf5/Na23.h5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " WARNING: Negative value(s) found on probability table for nuclide Na22 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Na22 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Na22 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Na22 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Na22 at 1200K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Na22 at 2500K\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Reading Mg24 from /home/lorenzo/nuclear_data/endfb80_hdf5/Mg24.h5\n",
      " Reading Mg25 from /home/lorenzo/nuclear_data/endfb80_hdf5/Mg25.h5\n",
      " Reading Mg26 from /home/lorenzo/nuclear_data/endfb80_hdf5/Mg26.h5\n",
      " Reading Al26_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Al26_m1.h5\n",
      " Reading Al27 from /home/lorenzo/nuclear_data/endfb80_hdf5/Al27.h5\n",
      " Reading Si28 from /home/lorenzo/nuclear_data/endfb80_hdf5/Si28.h5\n",
      " Reading Si29 from /home/lorenzo/nuclear_data/endfb80_hdf5/Si29.h5\n",
      " Reading Si30 from /home/lorenzo/nuclear_data/endfb80_hdf5/Si30.h5\n",
      " Reading Si31 from /home/lorenzo/nuclear_data/endfb80_hdf5/Si31.h5\n",
      " Reading Si32 from /home/lorenzo/nuclear_data/endfb80_hdf5/Si32.h5\n",
      " Reading P31 from /home/lorenzo/nuclear_data/endfb80_hdf5/P31.h5\n",
      " Reading S32 from /home/lorenzo/nuclear_data/endfb80_hdf5/S32.h5\n",
      " Reading S33 from /home/lorenzo/nuclear_data/endfb80_hdf5/S33.h5\n",
      " Reading S34 from /home/lorenzo/nuclear_data/endfb80_hdf5/S34.h5\n",
      " Reading S35 from /home/lorenzo/nuclear_data/endfb80_hdf5/S35.h5\n",
      " Reading S36 from /home/lorenzo/nuclear_data/endfb80_hdf5/S36.h5\n",
      " Reading Cl35 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cl35.h5\n",
      " Reading Cl36 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cl36.h5\n",
      " Reading Cl37 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cl37.h5\n",
      " Reading Ar36 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ar36.h5\n",
      " Reading Ar37 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ar37.h5\n",
      " Reading Ar38 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ar38.h5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " WARNING: Negative value(s) found on probability table for nuclide Ar36 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Ar36 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Ar36 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Ar36 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Ar36 at 1200K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Ar36 at 2500K\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Reading Ar39 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ar39.h5\n",
      " Reading Ar40 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ar40.h5\n",
      " Reading Ar41 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ar41.h5\n",
      " Reading K39 from /home/lorenzo/nuclear_data/endfb80_hdf5/K39.h5\n",
      " Reading K40 from /home/lorenzo/nuclear_data/endfb80_hdf5/K40.h5\n",
      " Reading K41 from /home/lorenzo/nuclear_data/endfb80_hdf5/K41.h5\n",
      " Reading Ca40 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ca40.h5\n",
      " Reading Ca41 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ca41.h5\n",
      " Reading Ca42 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ca42.h5\n",
      " Reading Ca43 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ca43.h5\n",
      " Reading Ca44 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ca44.h5\n",
      " Reading Ca45 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ca45.h5\n",
      " Reading Ca46 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ca46.h5\n",
      " Reading Ca47 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ca47.h5\n",
      " Reading Ca48 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ca48.h5\n",
      " Reading Sc45 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sc45.h5\n",
      " Reading Ti46 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ti46.h5\n",
      " Reading Ti47 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ti47.h5\n",
      " Reading Ti48 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ti48.h5\n",
      " Reading Ti49 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ti49.h5\n",
      " Reading Ti50 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ti50.h5\n",
      " Reading V49 from /home/lorenzo/nuclear_data/endfb80_hdf5/V49.h5\n",
      " Reading V50 from /home/lorenzo/nuclear_data/endfb80_hdf5/V50.h5\n",
      " Reading V51 from /home/lorenzo/nuclear_data/endfb80_hdf5/V51.h5\n",
      " Reading Cr51 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cr51.h5\n",
      " Reading Mn54 from /home/lorenzo/nuclear_data/endfb80_hdf5/Mn54.h5\n",
      " Reading Mn55 from /home/lorenzo/nuclear_data/endfb80_hdf5/Mn55.h5\n",
      " Reading Fe55 from /home/lorenzo/nuclear_data/endfb80_hdf5/Fe55.h5\n",
      " Reading Co58 from /home/lorenzo/nuclear_data/endfb80_hdf5/Co58.h5\n",
      " Reading Co58_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Co58_m1.h5\n",
      " Reading Co59 from /home/lorenzo/nuclear_data/endfb80_hdf5/Co59.h5\n",
      " Reading Ni58 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ni58.h5\n",
      " Reading Ni59 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ni59.h5\n",
      " Reading Ni60 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ni60.h5\n",
      " Reading Ni61 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ni61.h5\n",
      " Reading Ni62 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ni62.h5\n",
      " Reading Ni63 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ni63.h5\n",
      " Reading Ni64 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ni64.h5\n",
      " Reading Cu63 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cu63.h5\n",
      " Reading Cu64 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cu64.h5\n",
      " Reading Cu65 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cu65.h5\n",
      " Reading Zn64 from /home/lorenzo/nuclear_data/endfb80_hdf5/Zn64.h5\n",
      " Reading Zn65 from /home/lorenzo/nuclear_data/endfb80_hdf5/Zn65.h5\n",
      " Reading Zn66 from /home/lorenzo/nuclear_data/endfb80_hdf5/Zn66.h5\n",
      " Reading Zn67 from /home/lorenzo/nuclear_data/endfb80_hdf5/Zn67.h5\n",
      " Reading Zn68 from /home/lorenzo/nuclear_data/endfb80_hdf5/Zn68.h5\n",
      " Reading Zn69 from /home/lorenzo/nuclear_data/endfb80_hdf5/Zn69.h5\n",
      " Reading Zn70 from /home/lorenzo/nuclear_data/endfb80_hdf5/Zn70.h5\n",
      " Reading Ga69 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ga69.h5\n",
      " Reading Ga70 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ga70.h5\n",
      " Reading Ga71 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ga71.h5\n",
      " Reading Ge70 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ge70.h5\n",
      " Reading Ge71 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ge71.h5\n",
      " Reading Ge72 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ge72.h5\n",
      " Reading Ge73 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ge73.h5\n",
      " Reading Ge74 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ge74.h5\n",
      " Reading Ge75 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ge75.h5\n",
      " Reading Ge76 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ge76.h5\n",
      " Reading As73 from /home/lorenzo/nuclear_data/endfb80_hdf5/As73.h5\n",
      " Reading As74 from /home/lorenzo/nuclear_data/endfb80_hdf5/As74.h5\n",
      " Reading As75 from /home/lorenzo/nuclear_data/endfb80_hdf5/As75.h5\n",
      " Reading Se74 from /home/lorenzo/nuclear_data/endfb80_hdf5/Se74.h5\n",
      " Reading Se75 from /home/lorenzo/nuclear_data/endfb80_hdf5/Se75.h5\n",
      " Reading Se76 from /home/lorenzo/nuclear_data/endfb80_hdf5/Se76.h5\n",
      " Reading Se77 from /home/lorenzo/nuclear_data/endfb80_hdf5/Se77.h5\n",
      " Reading Se78 from /home/lorenzo/nuclear_data/endfb80_hdf5/Se78.h5\n",
      " Reading Se79 from /home/lorenzo/nuclear_data/endfb80_hdf5/Se79.h5\n",
      " Reading Se80 from /home/lorenzo/nuclear_data/endfb80_hdf5/Se80.h5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " WARNING: Negative value(s) found on probability table for nuclide Se79 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Se79 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Se79 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Se79 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Se79 at 1200K\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Reading Se81 from /home/lorenzo/nuclear_data/endfb80_hdf5/Se81.h5\n",
      " Reading Se82 from /home/lorenzo/nuclear_data/endfb80_hdf5/Se82.h5\n",
      " Reading Br79 from /home/lorenzo/nuclear_data/endfb80_hdf5/Br79.h5\n",
      " Reading Br80 from /home/lorenzo/nuclear_data/endfb80_hdf5/Br80.h5\n",
      " Reading Br81 from /home/lorenzo/nuclear_data/endfb80_hdf5/Br81.h5\n",
      " Reading Kr78 from /home/lorenzo/nuclear_data/endfb80_hdf5/Kr78.h5\n",
      " Reading Kr79 from /home/lorenzo/nuclear_data/endfb80_hdf5/Kr79.h5\n",
      " Reading Kr80 from /home/lorenzo/nuclear_data/endfb80_hdf5/Kr80.h5\n",
      " Reading Kr81 from /home/lorenzo/nuclear_data/endfb80_hdf5/Kr81.h5\n",
      " Reading Kr82 from /home/lorenzo/nuclear_data/endfb80_hdf5/Kr82.h5\n",
      " Reading Kr83 from /home/lorenzo/nuclear_data/endfb80_hdf5/Kr83.h5\n",
      " Reading Kr84 from /home/lorenzo/nuclear_data/endfb80_hdf5/Kr84.h5\n",
      " Reading Kr85 from /home/lorenzo/nuclear_data/endfb80_hdf5/Kr85.h5\n",
      " Reading Kr86 from /home/lorenzo/nuclear_data/endfb80_hdf5/Kr86.h5\n",
      " Reading Rb85 from /home/lorenzo/nuclear_data/endfb80_hdf5/Rb85.h5\n",
      " Reading Rb86 from /home/lorenzo/nuclear_data/endfb80_hdf5/Rb86.h5\n",
      " Reading Rb87 from /home/lorenzo/nuclear_data/endfb80_hdf5/Rb87.h5\n",
      " Reading Sr84 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sr84.h5\n",
      " Reading Sr85 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sr85.h5\n",
      " Reading Sr86 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sr86.h5\n",
      " Reading Sr87 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sr87.h5\n",
      " Reading Sr88 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sr88.h5\n",
      " Reading Sr89 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sr89.h5\n",
      " Reading Sr90 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sr90.h5\n",
      " Reading Y89 from /home/lorenzo/nuclear_data/endfb80_hdf5/Y89.h5\n",
      " Reading Y90 from /home/lorenzo/nuclear_data/endfb80_hdf5/Y90.h5\n",
      " Reading Y91 from /home/lorenzo/nuclear_data/endfb80_hdf5/Y91.h5\n",
      " Reading Zr93 from /home/lorenzo/nuclear_data/endfb80_hdf5/Zr93.h5\n",
      " Reading Zr95 from /home/lorenzo/nuclear_data/endfb80_hdf5/Zr95.h5\n",
      " Reading Nb93 from /home/lorenzo/nuclear_data/endfb80_hdf5/Nb93.h5\n",
      " Reading Nb94 from /home/lorenzo/nuclear_data/endfb80_hdf5/Nb94.h5\n",
      " Reading Nb95 from /home/lorenzo/nuclear_data/endfb80_hdf5/Nb95.h5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " WARNING: Negative value(s) found on probability table for nuclide Nb94 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Nb94 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Nb94 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Nb94 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Nb94 at 1200K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Nb94 at 2500K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Nb95 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Nb95 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Nb95 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Nb95 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Nb95 at 1200K\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Reading Mo92 from /home/lorenzo/nuclear_data/endfb80_hdf5/Mo92.h5\n",
      " Reading Mo93 from /home/lorenzo/nuclear_data/endfb80_hdf5/Mo93.h5\n",
      " Reading Mo94 from /home/lorenzo/nuclear_data/endfb80_hdf5/Mo94.h5\n",
      " Reading Mo95 from /home/lorenzo/nuclear_data/endfb80_hdf5/Mo95.h5\n",
      " Reading Mo96 from /home/lorenzo/nuclear_data/endfb80_hdf5/Mo96.h5\n",
      " Reading Mo97 from /home/lorenzo/nuclear_data/endfb80_hdf5/Mo97.h5\n",
      " Reading Mo98 from /home/lorenzo/nuclear_data/endfb80_hdf5/Mo98.h5\n",
      " Reading Mo99 from /home/lorenzo/nuclear_data/endfb80_hdf5/Mo99.h5\n",
      " Reading Mo100 from /home/lorenzo/nuclear_data/endfb80_hdf5/Mo100.h5\n",
      " Reading Tc98 from /home/lorenzo/nuclear_data/endfb80_hdf5/Tc98.h5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " WARNING: Negative value(s) found on probability table for nuclide Mo99 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Mo99 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Mo99 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Mo99 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Mo99 at 1200K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Mo99 at 2500K\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Reading Tc99 from /home/lorenzo/nuclear_data/endfb80_hdf5/Tc99.h5\n",
      " Reading Ru96 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ru96.h5\n",
      " Reading Ru97 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ru97.h5\n",
      " Reading Ru98 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ru98.h5\n",
      " Reading Ru99 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ru99.h5\n",
      " Reading Ru100 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ru100.h5\n",
      " Reading Ru101 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ru101.h5\n",
      " Reading Ru102 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ru102.h5\n",
      " Reading Ru103 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ru103.h5\n",
      " Reading Ru104 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ru104.h5\n",
      " Reading Ru105 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ru105.h5\n",
      " Reading Ru106 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ru106.h5\n",
      " Reading Rh103 from /home/lorenzo/nuclear_data/endfb80_hdf5/Rh103.h5\n",
      " Reading Rh104 from /home/lorenzo/nuclear_data/endfb80_hdf5/Rh104.h5\n",
      " Reading Rh105 from /home/lorenzo/nuclear_data/endfb80_hdf5/Rh105.h5\n",
      " Reading Pd102 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pd102.h5\n",
      " Reading Pd103 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pd103.h5\n",
      " Reading Pd104 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pd104.h5\n",
      " Reading Pd105 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pd105.h5\n",
      " Reading Pd106 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pd106.h5\n",
      " Reading Pd107 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pd107.h5\n",
      " Reading Pd108 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pd108.h5\n",
      " Reading Pd109 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pd109.h5\n",
      " Reading Pd110 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pd110.h5\n",
      " Reading Ag107 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ag107.h5\n",
      " Reading Ag108 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ag108.h5\n",
      " Reading Ag109 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ag109.h5\n",
      " Reading Ag110_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ag110_m1.h5\n",
      " Reading Ag111 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ag111.h5\n",
      " Reading Ag112 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ag112.h5\n",
      " Reading Ag113 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ag113.h5\n",
      " Reading Ag114 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ag114.h5\n",
      " Reading Ag115 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ag115.h5\n",
      " Reading Ag116 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ag116.h5\n",
      " Reading Ag117 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ag117.h5\n",
      " Reading Ag118_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ag118_m1.h5\n",
      " Reading Cd106 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cd106.h5\n",
      " Reading Cd107 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cd107.h5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " WARNING: Negative value(s) found on probability table for nuclide Ag118_m1 at\n",
      "          250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Ag118_m1 at\n",
      "          294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Ag118_m1 at\n",
      "          600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Ag118_m1 at\n",
      "          900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Ag118_m1 at\n",
      "          1200K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Ag118_m1 at\n",
      "          2500K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Cd106 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Cd106 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Cd106 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Cd106 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Cd106 at\n",
      "          1200K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Cd106 at\n",
      "          2500K\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Reading Cd108 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cd108.h5\n",
      " Reading Cd109 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cd109.h5\n",
      " Reading Cd110 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cd110.h5\n",
      " Reading Cd111 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cd111.h5\n",
      " Reading Cd112 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cd112.h5\n",
      " Reading Cd113 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cd113.h5\n",
      " Reading Cd114 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cd114.h5\n",
      " Reading Cd115_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cd115_m1.h5\n",
      " Reading Cd116 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cd116.h5\n",
      " Reading In113 from /home/lorenzo/nuclear_data/endfb80_hdf5/In113.h5\n",
      " Reading In114 from /home/lorenzo/nuclear_data/endfb80_hdf5/In114.h5\n",
      " Reading In115 from /home/lorenzo/nuclear_data/endfb80_hdf5/In115.h5\n",
      " Reading Sn113 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sn113.h5\n",
      " Reading Sn121_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sn121_m1.h5\n",
      " Reading Sn123 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sn123.h5\n",
      " Reading Sn125 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sn125.h5\n",
      " Reading Sn126 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sn126.h5\n",
      " Reading Sb121 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sb121.h5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " WARNING: Negative value(s) found on probability table for nuclide Sn123 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Sn123 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Sn123 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Sn123 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Sn123 at\n",
      "          1200K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Sn123 at\n",
      "          2500K\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Reading Sb122 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sb122.h5\n",
      " Reading Sb123 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sb123.h5\n",
      " Reading Sb124 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sb124.h5\n",
      " Reading Sb125 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sb125.h5\n",
      " Reading Sb126 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sb126.h5\n",
      " Reading Te120 from /home/lorenzo/nuclear_data/endfb80_hdf5/Te120.h5\n",
      " Reading Te121 from /home/lorenzo/nuclear_data/endfb80_hdf5/Te121.h5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " WARNING: Negative value(s) found on probability table for nuclide Te120 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Te120 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Te120 at\n",
      "          1200K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Te120 at\n",
      "          2500K\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Reading Te121_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Te121_m1.h5\n",
      " Reading Te122 from /home/lorenzo/nuclear_data/endfb80_hdf5/Te122.h5\n",
      " Reading Te123 from /home/lorenzo/nuclear_data/endfb80_hdf5/Te123.h5\n",
      " Reading Te124 from /home/lorenzo/nuclear_data/endfb80_hdf5/Te124.h5\n",
      " Reading Te125 from /home/lorenzo/nuclear_data/endfb80_hdf5/Te125.h5\n",
      " Reading Te126 from /home/lorenzo/nuclear_data/endfb80_hdf5/Te126.h5\n",
      " Reading Te127_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Te127_m1.h5\n",
      " Reading Te128 from /home/lorenzo/nuclear_data/endfb80_hdf5/Te128.h5\n",
      " Reading Te129_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Te129_m1.h5\n",
      " Reading Te130 from /home/lorenzo/nuclear_data/endfb80_hdf5/Te130.h5\n",
      " Reading Te131 from /home/lorenzo/nuclear_data/endfb80_hdf5/Te131.h5\n",
      " Reading Te131_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Te131_m1.h5\n",
      " Reading Te132 from /home/lorenzo/nuclear_data/endfb80_hdf5/Te132.h5\n",
      " Reading I127 from /home/lorenzo/nuclear_data/endfb80_hdf5/I127.h5\n",
      " Reading I128 from /home/lorenzo/nuclear_data/endfb80_hdf5/I128.h5\n",
      " Reading I129 from /home/lorenzo/nuclear_data/endfb80_hdf5/I129.h5\n",
      " Reading I130 from /home/lorenzo/nuclear_data/endfb80_hdf5/I130.h5\n",
      " Reading I131 from /home/lorenzo/nuclear_data/endfb80_hdf5/I131.h5\n",
      " Reading I132 from /home/lorenzo/nuclear_data/endfb80_hdf5/I132.h5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " WARNING: Negative value(s) found on probability table for nuclide I131 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide I131 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide I131 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide I131 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide I131 at 1200K\n",
      " WARNING: Negative value(s) found on probability table for nuclide I131 at 2500K\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Reading I132_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/I132_m1.h5\n",
      " Reading I133 from /home/lorenzo/nuclear_data/endfb80_hdf5/I133.h5\n",
      " Reading I134 from /home/lorenzo/nuclear_data/endfb80_hdf5/I134.h5\n",
      " Reading I135 from /home/lorenzo/nuclear_data/endfb80_hdf5/I135.h5\n",
      " Reading Xe123 from /home/lorenzo/nuclear_data/endfb80_hdf5/Xe123.h5\n",
      " Reading Xe124 from /home/lorenzo/nuclear_data/endfb80_hdf5/Xe124.h5\n",
      " Reading Xe125 from /home/lorenzo/nuclear_data/endfb80_hdf5/Xe125.h5\n",
      " Reading Xe126 from /home/lorenzo/nuclear_data/endfb80_hdf5/Xe126.h5\n",
      " Reading Xe127 from /home/lorenzo/nuclear_data/endfb80_hdf5/Xe127.h5\n",
      " Reading Xe128 from /home/lorenzo/nuclear_data/endfb80_hdf5/Xe128.h5\n",
      " Reading Xe129 from /home/lorenzo/nuclear_data/endfb80_hdf5/Xe129.h5\n",
      " Reading Xe130 from /home/lorenzo/nuclear_data/endfb80_hdf5/Xe130.h5\n",
      " Reading Xe131 from /home/lorenzo/nuclear_data/endfb80_hdf5/Xe131.h5\n",
      " Reading Xe132 from /home/lorenzo/nuclear_data/endfb80_hdf5/Xe132.h5\n",
      " Reading Xe133 from /home/lorenzo/nuclear_data/endfb80_hdf5/Xe133.h5\n",
      " Reading Xe134 from /home/lorenzo/nuclear_data/endfb80_hdf5/Xe134.h5\n",
      " Reading Xe135 from /home/lorenzo/nuclear_data/endfb80_hdf5/Xe135.h5\n",
      " Reading Xe136 from /home/lorenzo/nuclear_data/endfb80_hdf5/Xe136.h5\n",
      " Reading Cs133 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cs133.h5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " WARNING: Negative value(s) found on probability table for nuclide Xe133 at\n",
      "          2500K\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Reading Cs134 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cs134.h5\n",
      " Reading Cs135 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cs135.h5\n",
      " Reading Cs136 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cs136.h5\n",
      " Reading Cs137 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cs137.h5\n",
      " Reading Ba130 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ba130.h5\n",
      " Reading Ba131 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ba131.h5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " WARNING: Negative value(s) found on probability table for nuclide Cs136 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Cs136 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Cs136 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Cs136 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Cs136 at\n",
      "          1200K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Cs136 at\n",
      "          2500K\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Reading Ba132 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ba132.h5\n",
      " Reading Ba133 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ba133.h5\n",
      " Reading Ba134 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ba134.h5\n",
      " Reading Ba135 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ba135.h5\n",
      " Reading Ba136 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ba136.h5\n",
      " Reading Ba137 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ba137.h5\n",
      " Reading Ba138 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ba138.h5\n",
      " Reading Ba139 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ba139.h5\n",
      " Reading Ba140 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ba140.h5\n",
      " Reading La138 from /home/lorenzo/nuclear_data/endfb80_hdf5/La138.h5\n",
      " Reading La139 from /home/lorenzo/nuclear_data/endfb80_hdf5/La139.h5\n",
      " Reading La140 from /home/lorenzo/nuclear_data/endfb80_hdf5/La140.h5\n",
      " Reading Ce136 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ce136.h5\n",
      " Reading Ce137 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ce137.h5\n",
      " Reading Ce137_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ce137_m1.h5\n",
      " Reading Ce138 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ce138.h5\n",
      " Reading Ce139 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ce139.h5\n",
      " Reading Ce140 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ce140.h5\n",
      " Reading Ce141 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ce141.h5\n",
      " Reading Ce142 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ce142.h5\n",
      " Reading Ce143 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ce143.h5\n",
      " Reading Ce144 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ce144.h5\n",
      " Reading Pr141 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pr141.h5\n",
      " Reading Pr142 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pr142.h5\n",
      " Reading Pr143 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pr143.h5\n",
      " Reading Nd142 from /home/lorenzo/nuclear_data/endfb80_hdf5/Nd142.h5\n",
      " Reading Nd143 from /home/lorenzo/nuclear_data/endfb80_hdf5/Nd143.h5\n",
      " Reading Nd144 from /home/lorenzo/nuclear_data/endfb80_hdf5/Nd144.h5\n",
      " Reading Nd145 from /home/lorenzo/nuclear_data/endfb80_hdf5/Nd145.h5\n",
      " Reading Nd146 from /home/lorenzo/nuclear_data/endfb80_hdf5/Nd146.h5\n",
      " Reading Nd147 from /home/lorenzo/nuclear_data/endfb80_hdf5/Nd147.h5\n",
      " Reading Nd148 from /home/lorenzo/nuclear_data/endfb80_hdf5/Nd148.h5\n",
      " Reading Nd149 from /home/lorenzo/nuclear_data/endfb80_hdf5/Nd149.h5\n",
      " Reading Nd150 from /home/lorenzo/nuclear_data/endfb80_hdf5/Nd150.h5\n",
      " Reading Pm143 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pm143.h5\n",
      " Reading Pm144 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pm144.h5\n",
      " Reading Pm145 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pm145.h5\n",
      " Reading Pm146 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pm146.h5\n",
      " Reading Pm147 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pm147.h5\n",
      " Reading Pm148 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pm148.h5\n",
      " Reading Pm148_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pm148_m1.h5\n",
      " Reading Pm149 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pm149.h5\n",
      " Reading Pm150 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pm150.h5\n",
      " Reading Pm151 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pm151.h5\n",
      " Reading Sm144 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sm144.h5\n",
      " Reading Sm145 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sm145.h5\n",
      " Reading Sm146 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sm146.h5\n",
      " Reading Sm147 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sm147.h5\n",
      " Reading Sm148 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sm148.h5\n",
      " Reading Sm149 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sm149.h5\n",
      " Reading Sm150 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sm150.h5\n",
      " Reading Sm151 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sm151.h5\n",
      " Reading Sm152 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sm152.h5\n",
      " Reading Sm153 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sm153.h5\n",
      " Reading Sm154 from /home/lorenzo/nuclear_data/endfb80_hdf5/Sm154.h5\n",
      " Reading Eu151 from /home/lorenzo/nuclear_data/endfb80_hdf5/Eu151.h5\n",
      " Reading Eu152 from /home/lorenzo/nuclear_data/endfb80_hdf5/Eu152.h5\n",
      " Reading Eu153 from /home/lorenzo/nuclear_data/endfb80_hdf5/Eu153.h5\n",
      " Reading Eu154 from /home/lorenzo/nuclear_data/endfb80_hdf5/Eu154.h5\n",
      " Reading Eu155 from /home/lorenzo/nuclear_data/endfb80_hdf5/Eu155.h5\n",
      " Reading Eu156 from /home/lorenzo/nuclear_data/endfb80_hdf5/Eu156.h5\n",
      " Reading Eu157 from /home/lorenzo/nuclear_data/endfb80_hdf5/Eu157.h5\n",
      " Reading Gd152 from /home/lorenzo/nuclear_data/endfb80_hdf5/Gd152.h5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " WARNING: Negative value(s) found on probability table for nuclide Eu156 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Eu156 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Eu156 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Eu156 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Eu156 at\n",
      "          1200K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Eu156 at\n",
      "          2500K\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Reading Gd153 from /home/lorenzo/nuclear_data/endfb80_hdf5/Gd153.h5\n",
      " Reading Gd154 from /home/lorenzo/nuclear_data/endfb80_hdf5/Gd154.h5\n",
      " Reading Gd155 from /home/lorenzo/nuclear_data/endfb80_hdf5/Gd155.h5\n",
      " Reading Gd156 from /home/lorenzo/nuclear_data/endfb80_hdf5/Gd156.h5\n",
      " Reading Gd157 from /home/lorenzo/nuclear_data/endfb80_hdf5/Gd157.h5\n",
      " Reading Gd158 from /home/lorenzo/nuclear_data/endfb80_hdf5/Gd158.h5\n",
      " Reading Gd159 from /home/lorenzo/nuclear_data/endfb80_hdf5/Gd159.h5\n",
      " Reading Gd160 from /home/lorenzo/nuclear_data/endfb80_hdf5/Gd160.h5\n",
      " Reading Tb158 from /home/lorenzo/nuclear_data/endfb80_hdf5/Tb158.h5\n",
      " Reading Tb159 from /home/lorenzo/nuclear_data/endfb80_hdf5/Tb159.h5\n",
      " Reading Tb160 from /home/lorenzo/nuclear_data/endfb80_hdf5/Tb160.h5\n",
      " Reading Tb161 from /home/lorenzo/nuclear_data/endfb80_hdf5/Tb161.h5\n",
      " Reading Dy154 from /home/lorenzo/nuclear_data/endfb80_hdf5/Dy154.h5\n",
      " Reading Dy155 from /home/lorenzo/nuclear_data/endfb80_hdf5/Dy155.h5\n",
      " Reading Dy156 from /home/lorenzo/nuclear_data/endfb80_hdf5/Dy156.h5\n",
      " Reading Dy157 from /home/lorenzo/nuclear_data/endfb80_hdf5/Dy157.h5\n",
      " Reading Dy158 from /home/lorenzo/nuclear_data/endfb80_hdf5/Dy158.h5\n",
      " Reading Dy159 from /home/lorenzo/nuclear_data/endfb80_hdf5/Dy159.h5\n",
      " Reading Dy160 from /home/lorenzo/nuclear_data/endfb80_hdf5/Dy160.h5\n",
      " Reading Dy161 from /home/lorenzo/nuclear_data/endfb80_hdf5/Dy161.h5\n",
      " Reading Dy162 from /home/lorenzo/nuclear_data/endfb80_hdf5/Dy162.h5\n",
      " Reading Dy163 from /home/lorenzo/nuclear_data/endfb80_hdf5/Dy163.h5\n",
      " Reading Dy164 from /home/lorenzo/nuclear_data/endfb80_hdf5/Dy164.h5\n",
      " Reading Ho165 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ho165.h5\n",
      " Reading Ho166_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ho166_m1.h5\n",
      " Reading Er162 from /home/lorenzo/nuclear_data/endfb80_hdf5/Er162.h5\n",
      " Reading Er163 from /home/lorenzo/nuclear_data/endfb80_hdf5/Er163.h5\n",
      " Reading Er164 from /home/lorenzo/nuclear_data/endfb80_hdf5/Er164.h5\n",
      " Reading Er165 from /home/lorenzo/nuclear_data/endfb80_hdf5/Er165.h5\n",
      " Reading Er166 from /home/lorenzo/nuclear_data/endfb80_hdf5/Er166.h5\n",
      " Reading Er167 from /home/lorenzo/nuclear_data/endfb80_hdf5/Er167.h5\n",
      " Reading Er168 from /home/lorenzo/nuclear_data/endfb80_hdf5/Er168.h5\n",
      " Reading Er169 from /home/lorenzo/nuclear_data/endfb80_hdf5/Er169.h5\n",
      " Reading Er170 from /home/lorenzo/nuclear_data/endfb80_hdf5/Er170.h5\n",
      " Reading Tm168 from /home/lorenzo/nuclear_data/endfb80_hdf5/Tm168.h5\n",
      " Reading Tm169 from /home/lorenzo/nuclear_data/endfb80_hdf5/Tm169.h5\n",
      " Reading Tm170 from /home/lorenzo/nuclear_data/endfb80_hdf5/Tm170.h5\n",
      " Reading Tm171 from /home/lorenzo/nuclear_data/endfb80_hdf5/Tm171.h5\n",
      " Reading Yb168 from /home/lorenzo/nuclear_data/endfb80_hdf5/Yb168.h5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " WARNING: Negative value(s) found on probability table for nuclide Yb168 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb168 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb168 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb168 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb168 at\n",
      "          1200K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb168 at\n",
      "          2500K\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Reading Yb169 from /home/lorenzo/nuclear_data/endfb80_hdf5/Yb169.h5\n",
      " Reading Yb170 from /home/lorenzo/nuclear_data/endfb80_hdf5/Yb170.h5\n",
      " Reading Yb171 from /home/lorenzo/nuclear_data/endfb80_hdf5/Yb171.h5\n",
      " Reading Yb172 from /home/lorenzo/nuclear_data/endfb80_hdf5/Yb172.h5\n",
      " Reading Yb173 from /home/lorenzo/nuclear_data/endfb80_hdf5/Yb173.h5\n",
      " Reading Yb174 from /home/lorenzo/nuclear_data/endfb80_hdf5/Yb174.h5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " WARNING: Negative value(s) found on probability table for nuclide Yb170 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb170 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb170 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb170 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb170 at\n",
      "          1200K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb170 at\n",
      "          2500K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb171 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb171 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb171 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb171 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb171 at\n",
      "          1200K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb171 at\n",
      "          2500K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb172 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb172 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb172 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb172 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb172 at\n",
      "          1200K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb172 at\n",
      "          2500K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb173 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb173 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb173 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb173 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb173 at\n",
      "          1200K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb173 at\n",
      "          2500K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb174 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb174 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb174 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb174 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb174 at\n",
      "          1200K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb174 at\n",
      "          2500K\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Reading Yb175 from /home/lorenzo/nuclear_data/endfb80_hdf5/Yb175.h5\n",
      " Reading Yb176 from /home/lorenzo/nuclear_data/endfb80_hdf5/Yb176.h5\n",
      " Reading Lu175 from /home/lorenzo/nuclear_data/endfb80_hdf5/Lu175.h5\n",
      " Reading Lu176 from /home/lorenzo/nuclear_data/endfb80_hdf5/Lu176.h5\n",
      " Reading Hf174 from /home/lorenzo/nuclear_data/endfb80_hdf5/Hf174.h5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " WARNING: Negative value(s) found on probability table for nuclide Yb176 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb176 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb176 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb176 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb176 at\n",
      "          1200K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Yb176 at\n",
      "          2500K\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Reading Hf175 from /home/lorenzo/nuclear_data/endfb80_hdf5/Hf175.h5\n",
      " Reading Hf176 from /home/lorenzo/nuclear_data/endfb80_hdf5/Hf176.h5\n",
      " Reading Hf177 from /home/lorenzo/nuclear_data/endfb80_hdf5/Hf177.h5\n",
      " Reading Hf178 from /home/lorenzo/nuclear_data/endfb80_hdf5/Hf178.h5\n",
      " Reading Hf179 from /home/lorenzo/nuclear_data/endfb80_hdf5/Hf179.h5\n",
      " Reading Hf180 from /home/lorenzo/nuclear_data/endfb80_hdf5/Hf180.h5\n",
      " Reading Hf181 from /home/lorenzo/nuclear_data/endfb80_hdf5/Hf181.h5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " WARNING: Negative value(s) found on probability table for nuclide Hf181 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Hf181 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Hf181 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Hf181 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Hf181 at\n",
      "          1200K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Hf181 at\n",
      "          2500K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Hf182 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Hf182 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Hf182 at 600K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Hf182 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Hf182 at\n",
      "          1200K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Hf182 at\n",
      "          2500K\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Reading Hf182 from /home/lorenzo/nuclear_data/endfb80_hdf5/Hf182.h5\n",
      " Reading Ta180 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ta180.h5\n",
      " Reading Ta181 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ta181.h5\n",
      " Reading Ta182 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ta182.h5\n",
      " Reading W180 from /home/lorenzo/nuclear_data/endfb80_hdf5/W180.h5\n",
      " Reading W181 from /home/lorenzo/nuclear_data/endfb80_hdf5/W181.h5\n",
      " Reading W182 from /home/lorenzo/nuclear_data/endfb80_hdf5/W182.h5\n",
      " Reading W183 from /home/lorenzo/nuclear_data/endfb80_hdf5/W183.h5\n",
      " Reading W184 from /home/lorenzo/nuclear_data/endfb80_hdf5/W184.h5\n",
      " Reading W185 from /home/lorenzo/nuclear_data/endfb80_hdf5/W185.h5\n",
      " Reading W186 from /home/lorenzo/nuclear_data/endfb80_hdf5/W186.h5\n",
      " Reading Re185 from /home/lorenzo/nuclear_data/endfb80_hdf5/Re185.h5\n",
      " Reading Re186_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Re186_m1.h5\n",
      " Reading Re187 from /home/lorenzo/nuclear_data/endfb80_hdf5/Re187.h5\n",
      " Reading Os184 from /home/lorenzo/nuclear_data/endfb80_hdf5/Os184.h5\n",
      " Reading Os185 from /home/lorenzo/nuclear_data/endfb80_hdf5/Os185.h5\n",
      " Reading Os186 from /home/lorenzo/nuclear_data/endfb80_hdf5/Os186.h5\n",
      " Reading Os187 from /home/lorenzo/nuclear_data/endfb80_hdf5/Os187.h5\n",
      " Reading Os188 from /home/lorenzo/nuclear_data/endfb80_hdf5/Os188.h5\n",
      " Reading Os189 from /home/lorenzo/nuclear_data/endfb80_hdf5/Os189.h5\n",
      " Reading Os190 from /home/lorenzo/nuclear_data/endfb80_hdf5/Os190.h5\n",
      " Reading Os191 from /home/lorenzo/nuclear_data/endfb80_hdf5/Os191.h5\n",
      " Reading Os192 from /home/lorenzo/nuclear_data/endfb80_hdf5/Os192.h5\n",
      " Reading Ir191 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ir191.h5\n",
      " Reading Ir192 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ir192.h5\n",
      " Reading Ir193 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ir193.h5\n",
      " Reading Ir194_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ir194_m1.h5\n",
      " Reading Pt190 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pt190.h5\n",
      " Reading Pt191 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pt191.h5\n",
      " Reading Pt192 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pt192.h5\n",
      " Reading Pt193 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pt193.h5\n",
      " Reading Pt194 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pt194.h5\n",
      " Reading Pt195 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pt195.h5\n",
      " Reading Pt196 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pt196.h5\n",
      " Reading Pt197 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pt197.h5\n",
      " Reading Pt198 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pt198.h5\n",
      " Reading Au197 from /home/lorenzo/nuclear_data/endfb80_hdf5/Au197.h5\n",
      " Reading Hg196 from /home/lorenzo/nuclear_data/endfb80_hdf5/Hg196.h5\n",
      " Reading Hg197 from /home/lorenzo/nuclear_data/endfb80_hdf5/Hg197.h5\n",
      " Reading Hg197_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Hg197_m1.h5\n",
      " Reading Hg198 from /home/lorenzo/nuclear_data/endfb80_hdf5/Hg198.h5\n",
      " Reading Hg199 from /home/lorenzo/nuclear_data/endfb80_hdf5/Hg199.h5\n",
      " Reading Hg200 from /home/lorenzo/nuclear_data/endfb80_hdf5/Hg200.h5\n",
      " Reading Hg201 from /home/lorenzo/nuclear_data/endfb80_hdf5/Hg201.h5\n",
      " Reading Hg202 from /home/lorenzo/nuclear_data/endfb80_hdf5/Hg202.h5\n",
      " Reading Hg203 from /home/lorenzo/nuclear_data/endfb80_hdf5/Hg203.h5\n",
      " Reading Hg204 from /home/lorenzo/nuclear_data/endfb80_hdf5/Hg204.h5\n",
      " Reading Tl203 from /home/lorenzo/nuclear_data/endfb80_hdf5/Tl203.h5\n",
      " Reading Tl204 from /home/lorenzo/nuclear_data/endfb80_hdf5/Tl204.h5\n",
      " Reading Tl205 from /home/lorenzo/nuclear_data/endfb80_hdf5/Tl205.h5\n",
      " Reading Pb204 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pb204.h5\n",
      " Reading Pb205 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pb205.h5\n",
      " Reading Pb206 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pb206.h5\n",
      " Reading Pb207 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pb207.h5\n",
      " Reading Pb208 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pb208.h5\n",
      " Reading Bi209 from /home/lorenzo/nuclear_data/endfb80_hdf5/Bi209.h5\n",
      " Reading Bi210_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Bi210_m1.h5\n",
      " Reading Po208 from /home/lorenzo/nuclear_data/endfb80_hdf5/Po208.h5\n",
      " Reading Po209 from /home/lorenzo/nuclear_data/endfb80_hdf5/Po209.h5\n",
      " Reading Po210 from /home/lorenzo/nuclear_data/endfb80_hdf5/Po210.h5\n",
      " Reading Ra223 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ra223.h5\n",
      " Reading Ra224 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ra224.h5\n",
      " Reading Ra225 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ra225.h5\n",
      " Reading Ra226 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ra226.h5\n",
      " Reading Ac225 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ac225.h5\n",
      " Reading Ac226 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ac226.h5\n",
      " Reading Ac227 from /home/lorenzo/nuclear_data/endfb80_hdf5/Ac227.h5\n",
      " Reading Th227 from /home/lorenzo/nuclear_data/endfb80_hdf5/Th227.h5\n",
      " Reading Th228 from /home/lorenzo/nuclear_data/endfb80_hdf5/Th228.h5\n",
      " Reading Th229 from /home/lorenzo/nuclear_data/endfb80_hdf5/Th229.h5\n",
      " Reading Th230 from /home/lorenzo/nuclear_data/endfb80_hdf5/Th230.h5\n",
      " Reading Th231 from /home/lorenzo/nuclear_data/endfb80_hdf5/Th231.h5\n",
      " Reading Th232 from /home/lorenzo/nuclear_data/endfb80_hdf5/Th232.h5\n",
      " Reading Th233 from /home/lorenzo/nuclear_data/endfb80_hdf5/Th233.h5\n",
      " Reading Th234 from /home/lorenzo/nuclear_data/endfb80_hdf5/Th234.h5\n",
      " Reading Pa229 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pa229.h5\n",
      " Reading Pa230 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pa230.h5\n",
      " Reading Pa231 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pa231.h5\n",
      " Reading Pa232 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pa232.h5\n",
      " Reading Pa233 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pa233.h5\n",
      " Reading U230 from /home/lorenzo/nuclear_data/endfb80_hdf5/U230.h5\n",
      " Reading U231 from /home/lorenzo/nuclear_data/endfb80_hdf5/U231.h5\n",
      " Reading U232 from /home/lorenzo/nuclear_data/endfb80_hdf5/U232.h5\n",
      " Reading U233 from /home/lorenzo/nuclear_data/endfb80_hdf5/U233.h5\n",
      " Reading U237 from /home/lorenzo/nuclear_data/endfb80_hdf5/U237.h5\n",
      " Reading U239 from /home/lorenzo/nuclear_data/endfb80_hdf5/U239.h5\n",
      " Reading U240 from /home/lorenzo/nuclear_data/endfb80_hdf5/U240.h5\n",
      " Reading U241 from /home/lorenzo/nuclear_data/endfb80_hdf5/U241.h5\n",
      " Reading Np234 from /home/lorenzo/nuclear_data/endfb80_hdf5/Np234.h5\n",
      " Reading Np235 from /home/lorenzo/nuclear_data/endfb80_hdf5/Np235.h5\n",
      " Reading Np236 from /home/lorenzo/nuclear_data/endfb80_hdf5/Np236.h5\n",
      " Reading Np236_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Np236_m1.h5\n",
      " Reading Np237 from /home/lorenzo/nuclear_data/endfb80_hdf5/Np237.h5\n",
      " Reading Np238 from /home/lorenzo/nuclear_data/endfb80_hdf5/Np238.h5\n",
      " Reading Np239 from /home/lorenzo/nuclear_data/endfb80_hdf5/Np239.h5\n",
      " Reading Pu236 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pu236.h5\n",
      " Reading Pu237 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pu237.h5\n",
      " Reading Pu238 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pu238.h5\n",
      " Reading Pu239 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pu239.h5\n",
      " Reading Pu240 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pu240.h5\n",
      " Reading Pu241 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pu241.h5\n",
      " Reading Pu242 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pu242.h5\n",
      " Reading Pu243 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pu243.h5\n",
      " Reading Pu244 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pu244.h5\n",
      " Reading Pu245 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pu245.h5\n",
      " Reading Pu246 from /home/lorenzo/nuclear_data/endfb80_hdf5/Pu246.h5\n",
      " Reading Am240 from /home/lorenzo/nuclear_data/endfb80_hdf5/Am240.h5\n",
      " Reading Am241 from /home/lorenzo/nuclear_data/endfb80_hdf5/Am241.h5\n",
      " Reading Am242 from /home/lorenzo/nuclear_data/endfb80_hdf5/Am242.h5\n",
      " Reading Am242_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Am242_m1.h5\n",
      " Reading Am243 from /home/lorenzo/nuclear_data/endfb80_hdf5/Am243.h5\n",
      " Reading Am244 from /home/lorenzo/nuclear_data/endfb80_hdf5/Am244.h5\n",
      " Reading Am244_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Am244_m1.h5\n",
      " Reading Cm240 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cm240.h5\n",
      " Reading Cm241 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cm241.h5\n",
      " Reading Cm242 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cm242.h5\n",
      " Reading Cm243 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cm243.h5\n",
      " Reading Cm244 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cm244.h5\n",
      " Reading Cm245 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cm245.h5\n",
      " Reading Cm246 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cm246.h5\n",
      " Reading Cm247 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cm247.h5\n",
      " Reading Cm248 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cm248.h5\n",
      " Reading Cm249 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cm249.h5\n",
      " Reading Cm250 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cm250.h5\n",
      " Reading Bk245 from /home/lorenzo/nuclear_data/endfb80_hdf5/Bk245.h5\n",
      " Reading Bk246 from /home/lorenzo/nuclear_data/endfb80_hdf5/Bk246.h5\n",
      " Reading Bk247 from /home/lorenzo/nuclear_data/endfb80_hdf5/Bk247.h5\n",
      " Reading Bk248 from /home/lorenzo/nuclear_data/endfb80_hdf5/Bk248.h5\n",
      " Reading Bk249 from /home/lorenzo/nuclear_data/endfb80_hdf5/Bk249.h5\n",
      " Reading Bk250 from /home/lorenzo/nuclear_data/endfb80_hdf5/Bk250.h5\n",
      " Reading Cf246 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cf246.h5\n",
      " Reading Cf247 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cf247.h5\n",
      " Reading Cf248 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cf248.h5\n",
      " Reading Cf249 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cf249.h5\n",
      " Reading Cf250 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cf250.h5\n",
      " Reading Cf251 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cf251.h5\n",
      " Reading Cf252 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cf252.h5\n",
      " Reading Cf253 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cf253.h5\n",
      " Reading Cf254 from /home/lorenzo/nuclear_data/endfb80_hdf5/Cf254.h5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " WARNING: Negative value(s) found on probability table for nuclide Cf250 at 250K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Cf250 at 294K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Cf250 at 900K\n",
      " WARNING: Negative value(s) found on probability table for nuclide Cf250 at\n",
      "          1200K\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Reading Es251 from /home/lorenzo/nuclear_data/endfb80_hdf5/Es251.h5\n",
      " Reading Es252 from /home/lorenzo/nuclear_data/endfb80_hdf5/Es252.h5\n",
      " Reading Es253 from /home/lorenzo/nuclear_data/endfb80_hdf5/Es253.h5\n",
      " Reading Es254 from /home/lorenzo/nuclear_data/endfb80_hdf5/Es254.h5\n",
      " Reading Es254_m1 from /home/lorenzo/nuclear_data/endfb80_hdf5/Es254_m1.h5\n",
      " Reading Es255 from /home/lorenzo/nuclear_data/endfb80_hdf5/Es255.h5\n",
      " Reading Fm255 from /home/lorenzo/nuclear_data/endfb80_hdf5/Fm255.h5\n",
      " Maximum neutron transport energy: 20000000 eV for F19\n",
      " Initializing source particles...\n",
      "\n",
      " ====================>     K EIGENVALUE SIMULATION     <====================\n",
      "\n",
      "  Bat./Gen.      k            Average k\n",
      "  =========   ========   ====================\n",
      "        1/1    0.51079\n",
      "        2/1    0.67518\n",
      "        3/1    0.83007\n",
      "        4/1    0.74047\n",
      "        5/1    0.83156\n",
      "        6/1    0.89433\n",
      "        7/1    0.89602\n",
      "        8/1    0.87347\n",
      "        9/1    0.84356\n",
      "       10/1    0.87265\n",
      "       11/1    0.84169\n",
      "       12/1    0.85977    0.85073 +/- 0.00904\n",
      "       13/1    0.87077    0.85741 +/- 0.00848\n",
      "       14/1    0.87431    0.86164 +/- 0.00733\n",
      "       15/1    0.87015    0.86334 +/- 0.00593\n",
      "       16/1    0.83779    0.85908 +/- 0.00645\n",
      "       17/1    0.90660    0.86587 +/- 0.00871\n",
      "       18/1    0.86017    0.86516 +/- 0.00757\n",
      "       19/1    0.88598    0.86747 +/- 0.00707\n",
      "       20/1    0.90703    0.87143 +/- 0.00746\n",
      "       21/1    0.92069    0.87591 +/- 0.00810\n",
      "       22/1    0.85298    0.87400 +/- 0.00763\n",
      "       23/1    0.91587    0.87722 +/- 0.00773\n",
      "       24/1    0.90844    0.87945 +/- 0.00749\n",
      "       25/1    0.81118    0.87490 +/- 0.00833\n",
      "       26/1    0.82866    0.87201 +/- 0.00831\n",
      "       27/1    0.91395    0.87447 +/- 0.00819\n",
      "       28/1    0.87269    0.87438 +/- 0.00772\n",
      "       29/1    0.91789    0.87667 +/- 0.00765\n",
      "       30/1    0.85458    0.87556 +/- 0.00734\n",
      "       31/1    0.83761    0.87375 +/- 0.00721\n",
      "       32/1    0.86086    0.87317 +/- 0.00690\n",
      "       33/1    0.89573    0.87415 +/- 0.00667\n",
      "       34/1    0.83149    0.87237 +/- 0.00663\n",
      "       35/1    0.83535    0.87089 +/- 0.00653\n",
      "       36/1    0.85909    0.87044 +/- 0.00629\n",
      "       37/1    0.87060    0.87044 +/- 0.00605\n",
      "       38/1    0.85714    0.86997 +/- 0.00585\n",
      "       39/1    0.88113    0.87035 +/- 0.00566\n",
      "       40/1    0.95443    0.87316 +/- 0.00614\n",
      "       41/1    0.84856    0.87236 +/- 0.00599\n",
      "       42/1    0.86711    0.87220 +/- 0.00581\n",
      "       43/1    0.89747    0.87296 +/- 0.00568\n",
      "       44/1    0.96230    0.87559 +/- 0.00610\n",
      "       45/1    0.84024    0.87458 +/- 0.00601\n",
      "       46/1    0.89619    0.87518 +/- 0.00587\n",
      "       47/1    0.88493    0.87545 +/- 0.00572\n",
      "       48/1    0.90997    0.87635 +/- 0.00564\n",
      "       49/1    0.86125    0.87597 +/- 0.00551\n",
      "       50/1    0.87487    0.87594 +/- 0.00537\n",
      "       51/1    0.84767    0.87525 +/- 0.00528\n",
      "       52/1    0.88774    0.87555 +/- 0.00516\n",
      "       53/1    0.85306    0.87502 +/- 0.00507\n",
      "       54/1    0.81141    0.87358 +/- 0.00516\n",
      "       55/1    0.86173    0.87331 +/- 0.00505\n",
      "       56/1    0.92268    0.87439 +/- 0.00505\n",
      "       57/1    0.88239    0.87456 +/- 0.00495\n",
      "       58/1    0.85203    0.87409 +/- 0.00487\n",
      "       59/1    0.91984    0.87502 +/- 0.00486\n",
      "       60/1    0.86835    0.87489 +/- 0.00476\n",
      "       61/1    0.88414    0.87507 +/- 0.00467\n",
      "       62/1    0.89068    0.87537 +/- 0.00459\n",
      "       63/1    0.88714    0.87559 +/- 0.00451\n",
      "       64/1    0.83801    0.87490 +/- 0.00448\n",
      "       65/1    0.93238    0.87594 +/- 0.00452\n",
      "       66/1    0.85233    0.87552 +/- 0.00446\n",
      "       67/1    0.88385    0.87567 +/- 0.00438\n",
      "       68/1    0.77940    0.87401 +/- 0.00461\n",
      "       69/1    0.94108    0.87514 +/- 0.00467\n",
      "       70/1    0.85904    0.87488 +/- 0.00460\n",
      "       71/1    0.89532    0.87521 +/- 0.00454\n",
      "       72/1    0.90329    0.87566 +/- 0.00449\n",
      "       73/1    0.89380    0.87595 +/- 0.00443\n",
      "       74/1    0.77925    0.87444 +/- 0.00461\n",
      "       75/1    0.87197    0.87440 +/- 0.00454\n",
      "       76/1    0.87984    0.87448 +/- 0.00447\n",
      "       77/1    0.87492    0.87449 +/- 0.00440\n",
      "       78/1    0.87958    0.87457 +/- 0.00434\n",
      "       79/1    0.81305    0.87367 +/- 0.00437\n",
      "       80/1    0.82163    0.87293 +/- 0.00437\n",
      "       81/1    0.89466    0.87324 +/- 0.00432\n",
      "       82/1    0.91315    0.87379 +/- 0.00429\n",
      "       83/1    0.87491    0.87381 +/- 0.00423\n",
      "       84/1    0.86630    0.87370 +/- 0.00418\n",
      "       85/1    0.85633    0.87347 +/- 0.00413\n",
      "       86/1    0.87078    0.87344 +/- 0.00407\n",
      "       87/1    0.80597    0.87256 +/- 0.00411\n",
      "       88/1    0.85418    0.87233 +/- 0.00407\n",
      "       89/1    0.86712    0.87226 +/- 0.00402\n",
      "       90/1    0.82992    0.87173 +/- 0.00400\n",
      "       91/1    0.87098    0.87172 +/- 0.00395\n",
      "       92/1    0.92861    0.87242 +/- 0.00396\n",
      "       93/1    0.92994    0.87311 +/- 0.00398\n",
      "       94/1    0.86134    0.87297 +/- 0.00393\n",
      "       95/1    0.87795    0.87303 +/- 0.00389\n",
      "       96/1    0.91542    0.87352 +/- 0.00387\n",
      "       97/1    0.88231    0.87362 +/- 0.00383\n",
      "       98/1    0.84992    0.87335 +/- 0.00379\n",
      "       99/1    0.83090    0.87287 +/- 0.00378\n",
      "      100/1    0.88486    0.87301 +/- 0.00374\n",
      " Creating state point statepoint.100.h5...\n",
      "\n",
      " =======================>     TIMING STATISTICS     <=======================\n",
      "\n",
      " Total time for initialization     = 2.7506e+00 seconds\n",
      "   Reading cross sections          = 2.7313e+00 seconds\n",
      " Total time in simulation          = 6.8851e+01 seconds\n",
      "   Time in transport only          = 6.8693e+01 seconds\n",
      "   Time in inactive batches        = 2.7746e-01 seconds\n",
      "   Time in active batches          = 6.8574e+01 seconds\n",
      "   Time synchronizing fission bank = 1.6983e-02 seconds\n",
      "     Sampling source sites         = 1.4117e-02 seconds\n",
      "     SEND/RECV source sites        = 2.0511e-03 seconds\n",
      "   Time accumulating tallies       = 1.0543e-01 seconds\n",
      "   Time writing statepoints        = 6.0783e-03 seconds\n",
      " Total time for finalization       = 1.3826e-04 seconds\n",
      " Total time elapsed                = 7.2264e+01 seconds\n",
      " Calculation Rate (inactive)       = 36041 particles/second\n",
      " Calculation Rate (active)         = 1312.45 particles/second\n",
      "\n",
      " ============================>     RESULTS     <============================\n",
      "\n",
      " k-effective (Collision)     = 0.87329 +/- 0.00340\n",
      " k-effective (Track-length)  = 0.87301 +/- 0.00374\n",
      " k-effective (Absorption)    = 0.87280 +/- 0.00345\n",
      " Combined k-effective        = 0.87298 +/- 0.00277\n",
      " Leakage Fraction            = 0.13789 +/- 0.00139\n",
      "\n",
      " Creating state point openmc_simulation_n0.h5...\n",
      "[openmc.deplete] t=86400.0 s, dt=86400.0 s, source=100000.0\n",
      " Maximum neutron transport energy: 20000000 eV for F19\n",
      " Initializing source particles...\n",
      "\n",
      " ====================>     K EIGENVALUE SIMULATION     <====================\n",
      "\n",
      "  Bat./Gen.      k            Average k\n",
      "  =========   ========   ====================\n",
      "        1/1    0.54299\n",
      "        2/1    0.67187\n",
      "        3/1    0.78341\n",
      "        4/1    0.84856\n",
      "        5/1    0.85240\n",
      "        6/1    0.87341\n",
      "        7/1    0.84716\n",
      "        8/1    0.83467\n",
      "        9/1    0.80667\n",
      "       10/1    0.82697\n",
      "       11/1    0.85483\n",
      "       12/1    0.87083    0.86283 +/- 0.00800\n",
      "       13/1    0.80768    0.84444 +/- 0.01895\n",
      "       14/1    0.82165    0.83874 +/- 0.01456\n",
      "       15/1    0.92195    0.85539 +/- 0.02011\n",
      "       16/1    0.80879    0.84762 +/- 0.01816\n",
      "       17/1    0.81976    0.84364 +/- 0.01586\n",
      "       18/1    0.88353    0.84863 +/- 0.01461\n",
      "       19/1    0.90479    0.85487 +/- 0.01432\n",
      "       20/1    0.86897    0.85628 +/- 0.01288\n",
      "       21/1    0.86684    0.85724 +/- 0.01169\n",
      "       22/1    0.88573    0.85961 +/- 0.01093\n",
      "       23/1    0.84418    0.85842 +/- 0.01013\n",
      "       24/1    0.91585    0.86253 +/- 0.01023\n",
      "       25/1    0.86014    0.86237 +/- 0.00953\n",
      "       26/1    0.86301    0.86241 +/- 0.00891\n",
      "       27/1    0.86512    0.86257 +/- 0.00837\n",
      "       28/1    0.81668    0.86002 +/- 0.00830\n",
      "       29/1    0.90836    0.86256 +/- 0.00825\n",
      "       30/1    0.87236    0.86305 +/- 0.00784\n",
      "       31/1    0.77805    0.85900 +/- 0.00849\n",
      "       32/1    0.87185    0.85959 +/- 0.00811\n",
      "       33/1    0.81319    0.85757 +/- 0.00801\n",
      "       34/1    0.86665    0.85795 +/- 0.00768\n",
      "       35/1    0.87987    0.85883 +/- 0.00742\n",
      "       36/1    0.83911    0.85807 +/- 0.00717\n",
      "       37/1    0.80599    0.85614 +/- 0.00716\n",
      "       38/1    0.83311    0.85532 +/- 0.00695\n",
      "       39/1    0.85119    0.85517 +/- 0.00671\n",
      "       40/1    0.75994    0.85200 +/- 0.00721\n",
      "       41/1    0.84374    0.85173 +/- 0.00698\n",
      "       42/1    0.85737    0.85191 +/- 0.00676\n",
      "       43/1    0.85599    0.85203 +/- 0.00656\n",
      "       44/1    0.80989    0.85079 +/- 0.00648\n",
      "       45/1    0.85262    0.85085 +/- 0.00629\n",
      "       46/1    0.81510    0.84985 +/- 0.00620\n",
      "       47/1    0.82101    0.84907 +/- 0.00608\n",
      "       48/1    0.80905    0.84802 +/- 0.00601\n",
      "       49/1    0.80473    0.84691 +/- 0.00596\n",
      "       50/1    0.84260    0.84680 +/- 0.00581\n",
      "       51/1    0.88403    0.84771 +/- 0.00573\n",
      "       52/1    0.84101    0.84755 +/- 0.00560\n",
      "       53/1    0.88130    0.84833 +/- 0.00552\n",
      "       54/1    0.80237    0.84729 +/- 0.00550\n",
      "       55/1    0.83315    0.84698 +/- 0.00538\n",
      "       56/1    0.83896    0.84680 +/- 0.00527\n",
      "       57/1    0.89047    0.84773 +/- 0.00524\n",
      "       58/1    0.85314    0.84784 +/- 0.00513\n",
      "       59/1    0.84896    0.84787 +/- 0.00502\n",
      "       60/1    0.78162    0.84654 +/- 0.00510\n",
      "       61/1    0.85917    0.84679 +/- 0.00500\n",
      "       62/1    0.82174    0.84631 +/- 0.00493\n",
      "       63/1    0.82061    0.84582 +/- 0.00486\n",
      "       64/1    0.83724    0.84566 +/- 0.00477\n",
      "       65/1    0.86191    0.84596 +/- 0.00469\n",
      "       66/1    0.83721    0.84580 +/- 0.00461\n",
      "       67/1    0.88359    0.84647 +/- 0.00458\n",
      "       68/1    0.86362    0.84676 +/- 0.00451\n",
      "       69/1    0.84611    0.84675 +/- 0.00443\n",
      "       70/1    0.82485    0.84639 +/- 0.00437\n",
      "       71/1    0.87027    0.84678 +/- 0.00432\n",
      "       72/1    0.84855    0.84681 +/- 0.00425\n",
      "       73/1    0.89771    0.84761 +/- 0.00425\n",
      "       74/1    0.86247    0.84785 +/- 0.00419\n",
      "       75/1    0.87504    0.84826 +/- 0.00415\n",
      "       76/1    0.82512    0.84791 +/- 0.00410\n",
      "       77/1    0.85155    0.84797 +/- 0.00404\n",
      "       78/1    0.85769    0.84811 +/- 0.00398\n",
      "       79/1    0.79207    0.84730 +/- 0.00401\n",
      "       80/1    0.87153    0.84764 +/- 0.00397\n",
      "       81/1    0.81698    0.84721 +/- 0.00393\n",
      "       82/1    0.84055    0.84712 +/- 0.00388\n",
      "       83/1    0.88017    0.84757 +/- 0.00385\n",
      "       84/1    0.88768    0.84811 +/- 0.00384\n",
      "       85/1    0.85368    0.84819 +/- 0.00379\n",
      "       86/1    0.82658    0.84790 +/- 0.00375\n",
      "       87/1    0.88497    0.84839 +/- 0.00373\n",
      "       88/1    0.90525    0.84912 +/- 0.00375\n",
      "       89/1    0.86992    0.84938 +/- 0.00372\n",
      "       90/1    0.84916    0.84938 +/- 0.00367\n",
      "       91/1    0.82514    0.84908 +/- 0.00364\n",
      "       92/1    0.86733    0.84930 +/- 0.00360\n",
      "       93/1    0.85207    0.84933 +/- 0.00355\n",
      "       94/1    0.86608    0.84953 +/- 0.00352\n",
      "       95/1    0.86734    0.84974 +/- 0.00348\n",
      "       96/1    0.81873    0.84938 +/- 0.00346\n",
      "       97/1    0.81375    0.84897 +/- 0.00344\n",
      "       98/1    0.87642    0.84928 +/- 0.00342\n",
      "       99/1    0.85170    0.84931 +/- 0.00338\n",
      "      100/1    0.85768    0.84940 +/- 0.00334\n",
      " Creating state point statepoint.100.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          = 7.3103e+01 seconds\n",
      "   Time in transport only          = 7.2945e+01 seconds\n",
      "   Time in inactive batches        = 2.9199e+00 seconds\n",
      "   Time in active batches          = 7.0184e+01 seconds\n",
      "   Time synchronizing fission bank = 1.8173e-02 seconds\n",
      "     Sampling source sites         = 1.5106e-02 seconds\n",
      "     SEND/RECV source sites        = 2.2167e-03 seconds\n",
      "   Time accumulating tallies       = 1.0110e-01 seconds\n",
      "   Time writing statepoints        = 5.7946e-03 seconds\n",
      " Total time for finalization       = 9.7779e-05 seconds\n",
      " Total time elapsed                = 7.3740e+01 seconds\n",
      " Calculation Rate (inactive)       = 3424.83 particles/second\n",
      " Calculation Rate (active)         = 1282.35 particles/second\n",
      "\n",
      " ============================>     RESULTS     <============================\n",
      "\n",
      " k-effective (Collision)     = 0.84851 +/- 0.00319\n",
      " k-effective (Track-length)  = 0.84940 +/- 0.00334\n",
      " k-effective (Absorption)    = 0.85306 +/- 0.00419\n",
      " Combined k-effective        = 0.85037 +/- 0.00268\n",
      " Leakage Fraction            = 0.13464 +/- 0.00133\n",
      "\n",
      " Creating state point openmc_simulation_n1.h5...\n",
      "[openmc.deplete] t=172800.0 (final operator evaluation)\n",
      " Maximum neutron transport energy: 20000000 eV for F19\n",
      " Initializing source particles...\n",
      "\n",
      " ====================>     K EIGENVALUE SIMULATION     <====================\n",
      "\n",
      "  Bat./Gen.      k            Average k\n",
      "  =========   ========   ====================\n",
      "        1/1    0.55411\n",
      "        2/1    0.68525\n",
      "        3/1    0.77646\n",
      "        4/1    0.82883\n",
      "        5/1    0.78845\n",
      "        6/1    0.83672\n",
      "        7/1    0.83486\n",
      "        8/1    0.78103\n",
      "        9/1    0.83943\n",
      "       10/1    0.81716\n",
      "       11/1    0.81138\n",
      "       12/1    0.89966    0.85552 +/- 0.04414\n",
      "       13/1    0.81121    0.84075 +/- 0.02946\n",
      "       14/1    0.85420    0.84411 +/- 0.02110\n",
      "       15/1    0.88624    0.85254 +/- 0.01839\n",
      "       16/1    0.79155    0.84237 +/- 0.01813\n",
      "       17/1    0.87010    0.84633 +/- 0.01583\n",
      "       18/1    0.80765    0.84150 +/- 0.01453\n",
      "       19/1    0.82905    0.84012 +/- 0.01289\n",
      "       20/1    0.83428    0.83953 +/- 0.01155\n",
      "       21/1    0.84575    0.84010 +/- 0.01046\n",
      "       22/1    0.82987    0.83925 +/- 0.00959\n",
      "       23/1    0.84869    0.83997 +/- 0.00885\n",
      "       24/1    0.84037    0.84000 +/- 0.00819\n",
      "       25/1    0.84018    0.84001 +/- 0.00763\n",
      "       26/1    0.86088    0.84132 +/- 0.00725\n",
      "       27/1    0.81515    0.83978 +/- 0.00698\n",
      "       28/1    0.84759    0.84021 +/- 0.00660\n",
      "       29/1    0.83846    0.84012 +/- 0.00624\n",
      "       30/1    0.87912    0.84207 +/- 0.00623\n",
      "       31/1    0.93283    0.84639 +/- 0.00734\n",
      "       32/1    0.83195    0.84573 +/- 0.00703\n",
      "       33/1    0.88456    0.84742 +/- 0.00692\n",
      "       34/1    0.81476    0.84606 +/- 0.00677\n",
      "       35/1    0.79956    0.84420 +/- 0.00675\n",
      "       36/1    0.88523    0.84578 +/- 0.00668\n",
      "       37/1    0.82781    0.84511 +/- 0.00646\n",
      "       38/1    0.88827    0.84666 +/- 0.00641\n",
      "       39/1    0.86091    0.84715 +/- 0.00621\n",
      "       40/1    0.80189    0.84564 +/- 0.00618\n",
      "       41/1    0.86283    0.84619 +/- 0.00601\n",
      "       42/1    0.80202    0.84481 +/- 0.00598\n",
      "       43/1    0.83096    0.84439 +/- 0.00581\n",
      "       44/1    0.88064    0.84546 +/- 0.00573\n",
      "       45/1    0.82781    0.84495 +/- 0.00559\n",
      "       46/1    0.86678    0.84556 +/- 0.00547\n",
      "       47/1    0.81195    0.84465 +/- 0.00539\n",
      "       48/1    0.91073    0.84639 +/- 0.00553\n",
      "       49/1    0.83944    0.84621 +/- 0.00539\n",
      "       50/1    0.80773    0.84525 +/- 0.00534\n",
      "       51/1    0.89600    0.84649 +/- 0.00535\n",
      "       52/1    0.89161    0.84756 +/- 0.00533\n",
      "       53/1    0.87544    0.84821 +/- 0.00525\n",
      "       54/1    0.81297    0.84741 +/- 0.00519\n",
      "       55/1    0.92114    0.84905 +/- 0.00533\n",
      "       56/1    0.89078    0.84996 +/- 0.00529\n",
      "       57/1    0.82596    0.84945 +/- 0.00520\n",
      "       58/1    0.89330    0.85036 +/- 0.00518\n",
      "       59/1    0.88955    0.85116 +/- 0.00513\n",
      "       60/1    0.90998    0.85234 +/- 0.00516\n",
      "       61/1    0.83171    0.85193 +/- 0.00508\n",
      "       62/1    0.83518    0.85161 +/- 0.00499\n",
      "       63/1    0.84053    0.85140 +/- 0.00490\n",
      "       64/1    0.81522    0.85073 +/- 0.00485\n",
      "       65/1    0.82344    0.85023 +/- 0.00479\n",
      "       66/1    0.84243    0.85009 +/- 0.00471\n",
      "       67/1    0.85363    0.85016 +/- 0.00462\n",
      "       68/1    0.83684    0.84993 +/- 0.00455\n",
      "       69/1    0.84506    0.84984 +/- 0.00447\n",
      "       70/1    0.82386    0.84941 +/- 0.00442\n",
      "       71/1    0.80173    0.84863 +/- 0.00441\n",
      "       72/1    0.88594    0.84923 +/- 0.00438\n",
      "       73/1    0.77803    0.84810 +/- 0.00446\n",
      "       74/1    0.84642    0.84807 +/- 0.00439\n",
      "       75/1    0.84359    0.84801 +/- 0.00432\n",
      "       76/1    0.87801    0.84846 +/- 0.00428\n",
      "       77/1    0.85116    0.84850 +/- 0.00422\n",
      "       78/1    0.85868    0.84865 +/- 0.00416\n",
      "       79/1    0.89200    0.84928 +/- 0.00414\n",
      "       80/1    0.85981    0.84943 +/- 0.00409\n",
      "       81/1    0.84563    0.84938 +/- 0.00403\n",
      "       82/1    0.84821    0.84936 +/- 0.00397\n",
      "       83/1    0.84805    0.84934 +/- 0.00392\n",
      "       84/1    0.76636    0.84822 +/- 0.00402\n",
      "       85/1    0.88374    0.84869 +/- 0.00400\n",
      "       86/1    0.85811    0.84882 +/- 0.00395\n",
      "       87/1    0.85301    0.84887 +/- 0.00390\n",
      "       88/1    0.87163    0.84916 +/- 0.00386\n",
      "       89/1    0.78783    0.84839 +/- 0.00389\n",
      "       90/1    0.84568    0.84835 +/- 0.00384\n",
      "       91/1    0.92918    0.84935 +/- 0.00392\n",
      "       92/1    0.83983    0.84924 +/- 0.00387\n",
      "       93/1    0.84705    0.84921 +/- 0.00383\n",
      "       94/1    0.77244    0.84830 +/- 0.00389\n",
      "       95/1    0.79689    0.84769 +/- 0.00389\n",
      "       96/1    0.85646    0.84779 +/- 0.00385\n",
      "       97/1    0.90152    0.84841 +/- 0.00385\n",
      "       98/1    0.84874    0.84841 +/- 0.00381\n",
      "       99/1    0.83944    0.84831 +/- 0.00377\n",
      "      100/1    0.85971    0.84844 +/- 0.00373\n",
      " Creating state point statepoint.100.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          = 7.3018e+01 seconds\n",
      "   Time in transport only          = 7.2894e+01 seconds\n",
      "   Time in inactive batches        = 2.9946e+00 seconds\n",
      "   Time in active batches          = 7.0024e+01 seconds\n",
      "   Time synchronizing fission bank = 1.6984e-02 seconds\n",
      "     Sampling source sites         = 1.4070e-02 seconds\n",
      "     SEND/RECV source sites        = 2.0748e-03 seconds\n",
      "   Time accumulating tallies       = 6.8416e-02 seconds\n",
      "   Time writing statepoints        = 5.9279e-03 seconds\n",
      " Total time for finalization       = 9.3132e-05 seconds\n",
      " Total time elapsed                = 7.3674e+01 seconds\n",
      " Calculation Rate (inactive)       = 3339.37 particles/second\n",
      " Calculation Rate (active)         = 1285.28 particles/second\n",
      "\n",
      " ============================>     RESULTS     <============================\n",
      "\n",
      " k-effective (Collision)     = 0.84573 +/- 0.00360\n",
      " k-effective (Track-length)  = 0.84844 +/- 0.00373\n",
      " k-effective (Absorption)    = 0.83791 +/- 0.00370\n",
      " Combined k-effective        = 0.84315 +/- 0.00307\n",
      " Leakage Fraction            = 0.13809 +/- 0.00114\n",
      "\n",
      " Creating state point openmc_simulation_n2.h5...\n"
     ]
    }
   ],
   "source": [
    "# Set material volume for depletion.\n",
    "uf4.volume = pi * fuel_or.r**2 * height\n",
    "ofc_uf4.volume  = 3*uf4.volume \n",
    "\n",
    "# Perform simulation using the predictor algorithm\n",
    "time_steps = [1.0, 1.0]  # days\n",
    "power = 1.0e5  # W\n",
    "\n",
    "# Transfer all elements from in-core to out-of-core and vice-versa\n",
    "all_elements = list(openmc.data.ELEMENT_SYMBOL.values())\n",
    "all_elements.remove('He') #still haven't figure out here\n",
    "flow_rate = 0.1 #litres/sec\n",
    "lambda_in = 1 / (uf4.volume / 1000 / flow_rate)\n",
    "lambda_out = 1 / (ofc_uf4.volume / 1000 / flow_rate)\n",
    "op = openmc.deplete.CoupledOperator(model)\n",
    "integrator = openmc.deplete.PredictorIntegrator(op, time_steps, power, timestep_units='d')\n",
    "integrator.add_transfer_rate(uf4, all_elements, lambda_in, destination_material=ofc_uf4)\n",
    "integrator.add_transfer_rate(ofc_uf4, all_elements, lambda_out, destination_material=uf4)\n",
    "integrator.integrate()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "728f9857",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "res = openmc.deplete.Results('depletion_results.h5')\n",
    "\n",
    "atoms_core = dict()\n",
    "atoms_ofc = dict()\n",
    "\n",
    "for nuc in res[0].index_nuc.keys():\n",
    "    atoms_core[nuc] = res.get_atoms(uf4, nuc)[1]\n",
    "    atoms_ofc[nuc] = res.get_atoms(ofc_uf4, nuc)[1]\n",
    "\n",
    "line1 = Line2D([0], [0], color='black')\n",
    "line2 = Line2D([0], [0], linestyle='--', color='black')\n",
    "line3 = Line2D([0], [0], color='r')\n",
    "line4 = Line2D([0], [0], color='g')\n",
    "labels1 = ['In-core', 'Out-of-core']\n",
    "labels2 = ['Xe135', 'U238']\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(atoms_core['Xe135'], color='r')\n",
    "ax.plot(atoms_ofc['Xe135'], '--', color='r')\n",
    "ax.plot(atoms_core['U238'], color='g')\n",
    "ax.plot(atoms_ofc['U238'], '--', color='g')\n",
    "leg1=plt.legend([line1, line2],labels1,loc='center left')\n",
    "leg2=plt.legend([line3, line4],labels2,loc='center right')\n",
    "ax.add_artist(leg1)\n",
    "ax.add_artist(leg2)\n",
    "ax.set_xlabel('Time [d]')\n",
    "ax.set_ylabel('Number of atoms')\n",
    "ax.set_yscale('log')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87efd6ad-8698-45bc-8a42-6449e5380f84",
   "metadata": {},
   "source": [
    "As we can verify by plotting U238 and Xe135 number of atoms, out-of-core invetory is approximately 3 times the one in-core, as suggested by the volume ratio. \n",
    "\n",
    "We can now compute the total number of neutrons emitted in core and our core, by knowing the precursor nuclides distribution between in-core and out-core. \n",
    "All the nuclides with $(\\beta-,n)$ decay mode are considered delayed neutrons precrusors. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "a39fd22c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def add_zero(elm):\n",
    "    if len(elm) == 1:\n",
    "        elm = '00'+elm\n",
    "    elif len(elm) == 2:\n",
    "        elm = '0'+elm\n",
    "    return elm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "241b08a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_file_string(nuc):\n",
    "    elm=re.split(r'(\\d+|\\s+)', nuc)[0]\n",
    "    A=re.split(r'(\\d+|\\s+)', nuc)[1]\n",
    "    Z=openmc.data.ATOMIC_NUMBER[elm]\n",
    "    A=add_zero(A)\n",
    "    Z=add_zero(str(Z))\n",
    "    return f'dec-{Z}_{elm}_{A}.endf'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "4c32a869",
   "metadata": {},
   "outputs": [],
   "source": [
    "# if beta-,n decay mode is present, the nuclide is a delayed neutron precursor\n",
    "def get_dnp(nuc):    \n",
    "    file = make_file_string(nuc)\n",
    "    path = '/home/lorenzo/ca_depletion_chains/ENDF-B-VIII.0/ENDF-B-VIII.0_decay'\n",
    "    if file in os.listdir(path):\n",
    "        decay_data=openmc.data.Decay.from_endf(f'{path}/{file}')  \n",
    "        for mode in decay_data.modes:\n",
    "            if all(decay in mode.modes for decay in ['beta-', 'n']):\n",
    "                return nuc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "8e958231",
   "metadata": {},
   "outputs": [],
   "source": [
    "dnp=[]\n",
    "for nuc in res[0].index_nuc:\n",
    "    if get_dnp(nuc):\n",
    "        dnp.append(nuc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "66db8d49",
   "metadata": {},
   "outputs": [],
   "source": [
    "# DNP Atoms Dictionaries \n",
    "atoms_core_dnp = {nuc: atoms_core[nuc] for nuc in dnp}\n",
    "atoms_ofc_dnp = {nuc: atoms_ofc[nuc] for nuc in dnp}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "553227c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DNP Ratio: [0.87929937 0.87912878]\n"
     ]
    }
   ],
   "source": [
    "# Calculate DNP ratios\n",
    "beta_core = sum(atoms_core_dnp.values())/sum(atoms_core.values())\n",
    "beta_ofc = sum(atoms_ofc_dnp.values())/sum(atoms_ofc.values())\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(beta_core, label='In core')\n",
    "ax.plot(beta_ofc, label='Out of core')\n",
    "plt.legend()\n",
    "ax.set_xlabel('Time [d]')\n",
    "ax.set_ylabel('DNP Ratio')\n",
    "ax.set_yscale('log')\n",
    "plt.show()\n",
    "print(f'DNP Ratio: {beta_ofc[1:]/beta_core[1:]}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39d79160-a392-47a5-86ac-1f913c850de4",
   "metadata": {},
   "source": [
    "The DNP Ratio indicates the fraction of delayed neutrons emitted in core. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "011474ad",
   "metadata": {},
   "source": [
    "# Delayed neutron yield\n",
    "\n",
    "The delayed neutron emission rate can be calculated as follows \\\n",
    "[oecd-nea link (pag.186)](https://www.oecd-nea.org/dbdata/nds_jefreports/jefreport-17/chapter11.pdf):\n",
    "\n",
    "$n(t)_d = \\sum_i \\lambda_i N_i(t) BR_i$\n",
    "\n",
    "where the branching ratio $BR$ is the probability that the nuclide $i$ undergos a $\\beta^-$ decay and emits a neutron.  \n",
    "\n",
    "Total delayed neutron emission per fission is calculated instead as: \n",
    "\n",
    "$ \\nu_d = \\sum_{i=0}^{DNP} CFY_i \\times BR_i $\n",
    "\n",
    "where $CFY$ is the cumulative fission yield and $BR$ its branching ratio. \n",
    "\n",
    "What we need though, is the total delayed neutron emission per total neutrons production in the fuel, \\\n",
    "therefore we want to divide $n(t)$ by the total neutron absorption reaction rate and obtain the delayed \\\n",
    "neutron fraction ($DNF$), sometimes approximated as $\\beta$ \\\n",
    "[DNF](https://www.nuclear-power.com/nuclear-power/fission/delayed-neutrons/delayed-neutrons-fraction/): \n",
    "\n",
    "$ DNF= \\frac{n(t)_d}{TR} =\n",
    "\\frac{\\sum_{i=0}^{DNP} \\lambda_i \\times N_i \\times BR_i}{TR} $ $\\frac{\\text{[neutrons per sec]}}{\\text{[Total nuetron abosred per sec]}}$\n",
    "\n",
    "We can then calculate $ DNF_{ic}$ (in-core) and $ DNF_{ofc}$ (out-of-core), by considering each respective precursors separately. \n",
    "\n",
    "Finally the ratio $ \\frac{DNF_{ofc}}{DNF_{ic}+DNF_{ofc}}$ represents the fraction of delayed neutrons lost out of core. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "0bd53bd4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Total neutron absorption reactio rate (fission + capture)\n",
    "import numpy as np\n",
    "tr = 0\n",
    "for nuc in res[0].index_nuc:\n",
    "    \n",
    "    try:\n",
    "        tr += res.get_reaction_rate(uf4,nuc,'(n,gamma)')[1]\n",
    "    except:\n",
    "        pass\n",
    "    try:\n",
    "        tr += res.get_reaction_rate(uf4,nuc,'fission')[1]\n",
    "    except:\n",
    "        pass\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "e4ee26d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# delayed neutron per second\n",
    "dn_core = 0\n",
    "dn_ofc = 0\n",
    "path = '/home/lorenzo/ca_depletion_chains/ENDF-B-VIII.0/ENDF-B-VIII.0_decay'\n",
    "for nuc in dnp:\n",
    "    file = make_file_string(nuc)\n",
    "    d=openmc.data.Decay.from_endf(f'{path}/{file}')\n",
    "    mode = [mode for mode in d.modes if all(decay in mode.modes for decay in ['beta-', 'n'])][0]\n",
    "    dn_core += mode.branching_ratio.n *  d.decay_constant.n * atoms_core[nuc]\n",
    "    dn_ofc += mode.branching_ratio.n *  d.decay_constant.n * atoms_ofc[nuc]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "e97d5a3b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total yield U235: [0.01140903 0.01136428]\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DNF Out-Of-Core: [0.57613264 0.57615068]\n"
     ]
    }
   ],
   "source": [
    "#delayed neutron yield (DN/Fiss)\n",
    "vd_core = dn_core/tr\n",
    "vd_ofc = dn_ofc/tr \n",
    "print(f'Total yield U235: {vd_core[1:]+vd_ofc[1:]}')\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(vd_core, label='In core')\n",
    "ax.plot(vd_ofc, label='Out of core')\n",
    "plt.legend()\n",
    "ax.set_xlabel('Time [d]')\n",
    "ax.set_ylabel('DNF')\n",
    "#ax.set_yscale('log')\n",
    "plt.show()\n",
    "print(f'DNF Out-Of-Core: {vd_ofc[1:]/(vd_core[1:]+vd_ofc[1:])}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f15eb879-afc5-4c4a-adab-6cc26469c234",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}