Example of plotting fission secondary energy distribution

EnergyDistribution.ipynb

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 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import matplotlib.pyplot as plt\n",
      "import pyne.ace"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "lib = pyne.ace.Library('/opt/data/nndc/293.6K/U_235_293.6K.ace')\n",
      "lib.read()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "u235 = lib.tables['92235.71c']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fission = u235.reactions[18]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "fission is a Reaction object which has an attribute called `energy_dist` containing the secondary energy distribution information. Note that what is stored in `energy_dist` will depend on the ACE law."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fission.energy_dist.energy_in"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "array([  1.00000000e-11,   5.00000000e-01,   1.00000000e+00,\n",
        "         1.50000000e+00,   2.00000000e+00,   2.50000000e+00,\n",
        "         3.00000000e+00,   4.00000000e+00,   5.00000000e+00,\n",
        "         6.00000000e+00,   7.00000000e+00,   8.00000000e+00,\n",
        "         9.00000000e+00,   1.00000000e+01,   1.10000000e+01,\n",
        "         1.20000000e+01,   1.30000000e+01,   1.40000000e+01,\n",
        "         1.50000000e+01,   2.00000000e+01])"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "As an example, we can plot the energy distribution for neutrons with an incoming energy of 1 MeV:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "E = fission.energy_dist.energy_out[2]\n",
      "pdf = fission.energy_dist.pdf[2]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.semilogx(E,pdf)\n",
      "plt.xlabel('Outgoing energy (MeV)')\n",
      "plt.ylabel('Probability density function')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "<matplotlib.text.Text at 0x2ab5190>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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YORPeekuONqzB01PtkisdMbVT7Mf0ueeeY+DAgbz55pvMmjXL2JBSu3ZtGjRo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\njHu1a0NYmHrRnr+/+h9TCHu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       "text": [
        "<matplotlib.figure.Figure at 0x2aaa450>"
       ]
      }
     ],
     "prompt_number": 8
    }
   ],
   "metadata": {}
  }
 ]
}