xsgen-example.ipynb

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  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Cross Section Generator Example\n",
      "\n",
      "This notebook demonstrates an example LWR library, called 'brightlite0'. This library was generated using [xsgen command line utility](http://bright-dev.github.io/xsgen/).  XSGen uses [OpenMC](https://mit-crpg.github.io/openmc/) and ORIGEN to calculate reactor specific parameters such as burnup, criticality, transmutation matrices, and cross sections.  These libraries are usable in the Bright-lite reactor facility archetype inside of [Cyclus](http://fuelcycle.org/) simulations.\n",
      "\n",
      "This notebook assumes that the generated library is installed into the Bright-lite path, nominally '~/.local/share/brightlite'.\n",
      "\n",
      "First, let's load in some needed tools."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import os\n",
      "\n",
      "import matplotlib.pyplot as plt\n",
      "%matplotlib inline\n",
      "plt.style.use(\"ggplot\")\n",
      "import pandas as pd\n",
      "import numpy as np\n",
      "\n",
      "libname = 'brightlite0'\n",
      "output_dir = os.path.expanduser(\"~/.local/share/brightlite/\" + libname)\n",
      "fuel_txt = os.path.join(output_dir, \"fuel.txt\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 15
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Load in fuel.txt\n",
      "\n",
      "Next, let's load in fuel data."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fuel = pd.read_csv(fuel_txt, delim_whitespace=True, index_col=0).transpose()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### U-235 & U-238 Concentrations\n",
      "\n",
      "Now let's look at a plot of the concentrations U-235 and U-238 as a function of the residence time in the core."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.figure()\n",
      "fuel.U235.plot(logy=True, figsize=(18, 9))\n",
      "fuel.U238.plot(logy=True, figsize=(18, 9))\n",
      "plt.xlabel('Time [days]')\n",
      "plt.ylabel('Mass [g]')\n",
      "plt.legend(loc=0)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "<matplotlib.legend.Legend at 0x7f8ef9d5d898>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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AIO9QWAA9xBgjM6lxlQUAAAAAoGsoLIAeZM6tkH31BdmD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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f8ef9dca470>"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Burnup and Criticality\n",
      "\n",
      "Now let's view in the burnup and criticality curves."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.figure()\n",
      "k = (fuel.NEUT_PROD / fuel.NEUT_DEST)\n",
      "k.name = 'k'\n",
      "k.plot(figsize=(18, 9))\n",
      "plt.ylabel('Multiplication Factor')\n",
      "plt.legend(loc=2)\n",
      "fuel.BUd.cumsum().plot(figsize=(18, 9), secondary_y=True)\n",
      "plt.ylabel('Burnup [MWd/kg]')\n",
      "plt.legend(loc=1)\n",
      "plt.xlabel('Time [days]')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 23,
       "text": [
        "<matplotlib.text.Text at 0x7f8ef9ec3198>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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c2lRwQpf1i9WcUUkKDnDYHQtAI1Ce2MiEhskMGCLrsw9kJl5qdxwAAAAAraCo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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f8ef9f34e80>"
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Cyclus\n",
      "\n",
      "Now that we have inspected the library and everything looks reasonable, let's run this inside of a Cyclus simulation. A valid input file is provided under the name 'cyclus-example.json'.\n",
      "\n",
      "First, we'll change the name of the library to what is listed above."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "with open('cyclus-example.json', 'r') as f:\n",
      "    inp = f.read()\n",
      "inp = inp.replace('brightlite0', libname)\n",
      "with open('example.json', 'w') as f:\n",
      "    f.write(inp)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 29
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Now let's run the file!"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "if os.path.isfile('example.h5'):\n",
      "    os.remove('example.h5')\n",
      "!cyclus -o example.h5 example.json"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "              :                                                               \r\n",
        "          .CL:CC CC             _Q     _Q  _Q_Q    _Q    _Q              _Q   \r\n",
        "        CC;CCCCCCCC:C;         /_\\)   /_\\)/_/\\\\)  /_\\)  /_\\)            /_\\)  \r\n",
        "        CCCCCCCCCCCCCl       __O|/O___O|/O_OO|/O__O|/O__O|/O____________O|/O__\r\n",
        "     CCCCCCf     iCCCLCC     /////////////////////////////////////////////////\r\n",
        "     iCCCt  ;;;;;.  CCCC                                                      \r\n",
        "    CCCC  ;;;;;;;;;. CClL.                          c                         \r\n",
        "   CCCC ,;;       ;;: CCCC  ;                   : CCCCi                       \r\n",
        "    CCC ;;         ;;  CC   ;;:                CCC`   `C;                     \r\n",
        "  lCCC ;;              CCCC  ;;;:             :CC .;;. C;   ;    :   ;  :;;   \r\n",
        "  CCCC ;.              CCCC    ;;;,           CC ;    ; Ci  ;    :   ;  :  ;  \r\n",
        "   iCC :;               CC       ;;;,        ;C ;       CC  ;    :   ; .      \r\n",
        "  CCCi ;;               CCC        ;;;.      .C ;       tf  ;    :   ;  ;.    \r\n",
        "  CCC  ;;               CCC          ;;;;;;; fC :       lC  ;    :   ;    ;:  \r\n",
        "   iCf ;;               CC         :;;:      tC ;       CC  ;    :   ;     ;  \r\n",
        "  fCCC :;              LCCf      ;;;:         LC :.  ,: C   ;    ;   ; ;   ;  \r\n",
        "  CCCC  ;;             CCCC    ;;;:           CCi `;;` CC.  ;;;; :;.;.  ; ,;  \r\n",
        "    CCl ;;             CC    ;;;;              CCC    CCL                     \r\n",
        "   tCCC  ;;        ;; CCCL  ;;;                  tCCCCC.                      \r\n",
        "    CCCC  ;;     :;; CCCCf  ;                     ,L                          \r\n",
        "     lCCC   ;;;;;;  CCCL                                                      \r\n",
        "     CCCCCC  :;;  fCCCCC                                                      \r\n",
        "      . CCCC     CCCC .                                                       \r\n",
        "       .CCCCCCCCCCCCCi                                                        \r\n",
        "          iCCCCCLCf                                                           \r\n",
        "           .  C. ,                                                            \r\n",
        "              :                                                               \r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "New brightlite0 reactor (ID:34) starting up - target burnup = 45\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 34  BU: 9.409  CR: 2330 Cycle: 15\r\n",
        "Agent 34  BU: 27.28  CR: 613.7 Cycle: 9\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 34  BU: 54.63  CR: 33.69 Cycle: 10\r\n",
        "Agent 34  BU: 42.98  CR: -287.6 Cycle: 11\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 34  BU: 44.44  CR: -272.5 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 34  BU: 45.83  CR: -268.4 Cycle: 10\r\n",
        "Agent 34  BU: 44.64  CR: -273.9 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 34  BU: 45.02  CR: -271.7 Cycle: 10\r\n",
        "Agent 34  BU: 45.05  CR: -271.8 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 34  BU: 44.96  CR: -272.2 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 34  BU: 45  CR: -271.9 Cycle: 10\r\n",
        "Agent 34  BU: 45  CR: -272 Cycle: 10\r\n",
        "New brightlite0 reactor (ID:35) starting up - target burnup = 45\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 35  BU: 9.409  CR: 2330 Cycle: 15\r\n",
        "Agent 34  BU: 44.99  CR: -272 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "New brightlite0 reactor (ID:36) starting up - target burnup = 45\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 36  BU: 9.409  CR: 2330 Cycle: 15\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 34  BU: 44.99  CR: -272 Cycle: 10\r\n",
        "Agent 35  BU: 27.28  CR: 613.7 Cycle: 9\r\n",
        "New brightlite0 reactor (ID:37) starting up - target burnup = 45\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 35  BU: 54.63  CR: 33.69 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 37  BU: 9.409  CR: 2330 Cycle: 15\r\n",
        "Agent 34  BU: 44.99  CR: -272 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 36  BU: 27.28  CR: 613.7 Cycle: 9\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 35  BU: 42.98  CR: -287.6 Cycle: 11\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 34  BU: 44.99  CR: -272 Cycle: 10\r\n",
        "New brightlite0 reactor (ID:38) starting up - target burnup = 45\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 36  BU: 54.63  CR: 33.69 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 38  BU: 9.409  CR: 2330 Cycle: 15\r\n",
        "Agent 37  BU: 27.28  CR: 613.7 Cycle: 9\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 34  BU: 44.99  CR: -272 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 35  BU: 44.44  CR: -272.5 Cycle: 10\r\n",
        "Agent 36  BU: 42.98  CR: -287.6 Cycle: 11\r\n",
        "New brightlite0 reactor (ID:39) starting up - target burnup = 45\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 37  BU: 54.63  CR: 33.69 Cycle: 10\r\n",
        "Agent 39  BU: 9.409  CR: 2330 Cycle: 15\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 38  BU: 27.28  CR: 613.7 Cycle: 9\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 34  BU: 44.99  CR: -272 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 35  BU: 45.83  CR: -268.4 Cycle: 10\r\n",
        "Agent 36  BU: 44.44  CR: -272.5 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 37  BU: 42.98  CR: -287.6 Cycle: 11\r\n",
        "New brightlite0 reactor (ID:40) starting up - target burnup = 45\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 38  BU: 54.63  CR: 33.69 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 40  BU: 9.409  CR: 2330 Cycle: 15\r\n",
        "Agent 39  BU: 27.28  CR: 613.7 Cycle: 9\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 34  BU: 44.99  CR: -272 Cycle: 10\r\n",
        "Agent 35  BU: 44.64  CR: -273.9 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 36  BU: 45.83  CR: -268.4 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 37  BU: 44.44  CR: -272.5 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 38  BU: 42.98  CR: -287.6 Cycle: 11\r\n",
        "New brightlite0 reactor (ID:41) starting up - target burnup = 45\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 39  BU: 54.63  CR: 33.69 Cycle: 10\r\n",
        "Agent 41  BU: 9.409  CR: 2330 Cycle: 15\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 34  BU: 44.99  CR: -272 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 35  BU: 45.02  CR: -271.7 Cycle: 10\r\n",
        "Agent 40  BU: 27.28  CR: 613.7 Cycle: 9\r\n",
        "Agent 36  BU: 44.64  CR: -273.9 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 37  BU: 45.83  CR: -268.4 Cycle: 10\r\n",
        "Agent 38  BU: 44.44  CR: -272.5 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 39  BU: 42.98  CR: -287.6 Cycle: 11\r\n",
        "New brightlite0 reactor (ID:42) starting up - target burnup = 45\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 40  BU: 54.63  CR: 33.69 Cycle: 10\r\n",
        "Agent 42  BU: 9.409  CR: 2330 Cycle: 15\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 34  BU: 44.99  CR: -272 Cycle: 10\r\n",
        "Agent 35  BU: 45.05  CR: -271.8 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 36  BU: 45.02  CR: -271.7 Cycle: 10\r\n",
        "Agent 41  BU: 27.28  CR: 613.7 Cycle: 9\r\n",
        "Agent 37  BU: 44.64  CR: -273.9 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 38  BU: 45.83  CR: -268.4 Cycle: 10\r\n",
        "Agent 39  BU: 44.44  CR: -272.5 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 40  BU: 42.98  CR: -287.6 Cycle: 11\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 34  BU: 44.99  CR: -272 Cycle: 10\r\n",
        "Agent 35  BU: 44.96  CR: -272.2 Cycle: 10\r\n",
        "New brightlite0 reactor (ID:43) starting up - target burnup = 45\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 41  BU: 54.63  CR: 33.69 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 43  BU: 9.409  CR: 2330 Cycle: 15\r\n",
        "Agent 36  BU: 45.05  CR: -271.8 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 37  BU: 45.02  CR: -271.7 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 42  BU: 27.28  CR: 613.7 Cycle: 9\r\n",
        "Agent 38  BU: 44.64  CR: -273.9 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 39  BU: 45.83  CR: -268.4 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 34  BU: 44.99  CR: -272 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 35  BU: 45  CR: -271.9 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 40  BU: 44.44  CR: -272.5 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 41  BU: 42.98  CR: -287.6 Cycle: 11\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Agent 36  BU: 44.96  CR: -272.2 Cycle: 10\r\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r\n",
        "Status: Cyclus run successful!\r\n",
        "Output location: example.h5\r\n",
        "Simulation ID: 44fa21b4-e616-438e-91f0-38f8a2995334\r\n"
       ]
      }
     ],
     "prompt_number": 30
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Tada! \n",
      "\n",
      "We have arrived!"
     ]
    }
   ],
   "metadata": {}
  }
 ]
}