{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Generate Images#\n",
      "All graphs are generated in this notebook from processed data in *processeddata.zip*"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "##Preamble\n",
      "from __future__ import division,print_function\n",
      "import pandas as pds\n",
      "\n",
      "rc('figure',figsize=(12,4))\n",
      "rc('legend',loc='best')\n",
      "rc('font',size = 14.0)\n",
      "rc('font', family='serif')\n",
      "rc('text', usetex=False)\n",
      "rc('lines', markersize=10)\n",
      "\n",
      "import os\n",
      "from os.path import expanduser\n",
      "\n",
      "%load_ext autoreload\n",
      "%autoreload 2\n",
      "\n",
      "import scipy.optimize as opt\n",
      "from scipy import stats\n",
      "import uncertainties as unc\n",
      "\n",
      "import ProcessingCTRData as pc\n",
      "\n",
      "print(\"Complete\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "ImportError",
       "evalue": "No module named ProcessingCTRData",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mImportError\u001b[0m                               Traceback (most recent call last)",
        "\u001b[1;32m<ipython-input-1-7d300d4b4b5a>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m     20\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0muncertainties\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0munc\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     21\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 22\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mProcessingCTRData\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mpc\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     23\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     24\u001b[0m \u001b[1;32mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Complete\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
        "\u001b[1;31mImportError\u001b[0m: No module named ProcessingCTRData"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Global Properties\n",
      "\n",
      "aloc = '/home/mbrown/Desktop/doipaper/figures/' #files saved here!\n",
      "\n",
      "wrapdict = {'wrapped':'r','unwrapped':'b','partialwrap':cm.gist_rainbow(0.4)}\n",
      "errwrapdict = {'wrapped':'r','unwrapped':'b','partialwrap':'g'}\n",
      "savefigures = True"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pds.read_csv('alldata.csv')\n",
      "\n",
      "fig, ax = subplots()\n",
      "ax.grid()\n",
      "\n",
      "crystaldict = {\"30A\":\"*\",\"30B\":\"^\"}  \n",
      "\n",
      "df = df[df.length == 30]\n",
      "\n",
      "df = df[df.specialkey == 'normal']\n",
      "\n",
      "pp = lambda aval : '{:1.2f}'.format(aval)\n",
      "for config, grp in df.groupby('configuration'):\n",
      "        \n",
      "    for key, grp in grp.groupby('SampleB'):\n",
      "        print(config,key)\n",
      "        ax.errorbar(grp.DOI,grp.CTR,yerr=grp.CTRerr,fmt='.',marker=crystaldict[key],color=wrapdict[config],ecolor=errwrapdict[config],label=key+' '+config)\n",
      "        m,b = polyfit(grp.DOI,grp.CTR,1,w=grp.CTRerr)\n",
      "        \n",
      "        #ax.hlines(b,0,30,color='k',linestyles='dashed')\n",
      "        \n",
      "        print(\"covariance\",pp(m))\n",
      "        print(\"intercept\",pp(b))\n",
      "        m,c,b = polyfit(grp.DOI,grp.CTR,2,w=grp.CTRerr)\n",
      "        print(\"covariance\",pp(m))\n",
      "        print(\"Gradient\",pp(c),\"intercept\",pp(b))\n",
      "        \n",
      "        \n",
      "        \n",
      "    ax.set_xlabel(\"Depth of Interaction (mm)\")\n",
      "    ax.set_ylabel(\"Coincidence Time Resolution (ps)\")\n",
      "    ax.set_xlim(-2,32)\n",
      "    \n",
      "    ax.set_ylim(160,300)\n",
      "\n",
      "    \n",
      "ax.legend(ncol=2)\n",
      "fig.tight_layout()\n",
      "\n",
      "if savefigures:\n",
      "    pc.savefigureadir('ctrdoi',aloc,fig)\n",
      "\n",
      "show()\n",
      "    \n",
      "    "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "unwrapped 30A\n",
        "covariance -1.13\n",
        "intercept 277.75\n",
        "covariance 0.01\n",
        "Gradient -1.56 intercept 279.91\n",
        "unwrapped 30B\n",
        "covariance -0.05\n",
        "intercept 258.81\n",
        "covariance 0.02\n",
        "Gradient -0.80 intercept 262.36\n",
        "wrapped 30A\n",
        "covariance -0.68\n",
        "intercept 256.92\n",
        "covariance -0.13\n",
        "Gradient 3.22 intercept 236.73\n",
        "wrapped 30B\n",
        "covariance -0.29\n",
        "intercept 237.75\n",
        "covariance 0.01\n",
        "Gradient -0.76 intercept 239.45\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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Kz7+MIUNcMWtWsPkCJSIiIiKTkvE+UUYXUV26dMGBAwfKrRdCoGvXrhVuu1X9+vVRWFho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\nAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x5d042d0>"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pds.read_csv('alldata.csv')\n",
      "\n",
      "rc('text', usetex=True)\n",
      "rc('font', family='serif')\n",
      "\n",
      "fig, ax = subplots()\n",
      "ax.grid()\n",
      "\n",
      "crystaldict = {\"30A\":\"*\",\"30B\":\"^\"}  \n",
      "\n",
      "df = df[df.length == 30]\n",
      "df = df[df.specialkey == 'normal']\n",
      "\n",
      "for config, grp in df.groupby('configuration'):\n",
      "    \n",
      "    for key, grp in grp.groupby('SampleB'):\n",
      "        ax.errorbar(grp.DOI,grp.numofsamples,yerr=sqrt(grp.numofsamples),fmt='.',marker=crystaldict[key],color=wrapdict[config],ecolor=errwrapdict[config],label=key+' '+config)\n",
      "        \n",
      "    ax.set_xlim(-2,32)\n",
      "\n",
      "step = lambda x, xmin, xmax : 1/(xmax-xmin)*((x>=xmin) & (x<=xmax))\n",
      "\n",
      "x = linspace(-5,40,500)\n",
      "xs = linspace(-5,5)\n",
      "y = convolve(step(x,0,30),stats.norm(scale=1/2.355).pdf(xs),mode='same')\n",
      "y*=3360/max(y)\n",
      "\n",
      "ax.plot(x,y,'k--')\n",
      "ax.set_xlabel(\"Depth of Interaction (mm)\")\n",
      "ax.set_ylabel(\"Number of $\\gamma\\gamma$ events detected\")\n",
      "    \n",
      "ax.legend(ncol=2)\n",
      "fig.tight_layout()\n",
      "\n",
      "if savefigures:\n",
      "    pc.savefigureadir('numberofsamples',aloc,fig)\n",
      "#pc.savefigureadir('numberofsamples','/home/mbrown/Desktop/figures-svg',fig,ext='svg')\n",
      "show()\n",
      "rc('text', usetex=False)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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bAJCTk6N8u+d2u2O6Aer1emVq9PHuczgcyT4dTeB0yfJgLuXBXGrXeNfbo8wX\nOyX9fimnpFcmHli4EJtef13ZLsvEA/HwfVYuMuYz6QqU3++HxWKBz+dDfn4+KisrsXXrVlRUVKCy\nsvK8j49WngCgo6MDra2tAIa64Y28+I1GIzwez4T2eb1eFBYWJvu0iIhomhjvenuU+YQyKcjDAPaf\nnQzkblRWlkvVDXP4xAO206fRMGziARkrUESZLulZ+BobG9Ha2opAIKC0OrW3t2Pjxo1J/zG/3w+r\n1Yry8nIsWbIEABAIBBIeHwwGJ7RPFvxQlwdzKQ/mUi7Mp7bFTgpSClmnpO9uasKb0YkHrrsOPQsW\n4M3BQXSf7R0kG16XcpExn0m3QBkMBlRVVY3aHp2lLxl5eXlYs2YNuru7UV5ejp6eHhiNxlHnCAQC\n0Ol0E9qXyIoVKzB37lzluRQWFioJjU6vyDLLLLPMMsssa6MshMDatZ04efJ2nOPCyZMzYbU+jcrK\ncmVNmkyIdzLlS668Et9rbsbfgkE8D2B1aSleffFF/GrLFrhcLtXjY5llGcqbN2+G1+tV6gtjSnYg\n1dKlS4XNZouZrKGtrS1mIodE+vv7RVtbm1IOBoNCp9MJv98v3G73qHPk5OQIIYQ4dOjQhPaNNI6n\nmVH2xRkF63K5xFNPPTX1wdCkxMslaRNzKRfmU7u6unaJmTOHTwqyT/l95kxOBqJlvC616/jx46K8\nvDxmm1bzOVb9IekWqPb2dlgsFjQ0NAAAsrKyYDAYlEkdxuL3+3Hs2DGl7PP5kJOTg7lz546q5fl8\nPlgsFgBAcXHxhPbJrKenBzNnzsQ3vvENtUMhIiJShTg79unDDx+Ou//DD+UcC0WU6bKzs/Hcc88h\nHA7HXVpIFuddB2oku92uTOBQW1ub9ODF7u5uBAIBGI1G9Pb2YuXKlcpkDx6PBw6HAyaTCQcPHsR9\n992nTDox0X0xT1KidaC+/e1vo6KiAv/yL/+idihERESqsNt347vf1eHkycSz7WVn78bjj+s4oyLR\nFPvSl76E//qv/8JVV12ldiiTMlb9YdwVqJE2bdqEe+65ZzKnSDuZKlBf/vKXsWHDBixevFjtUIiI\niFRx660t8Plmjtm6JISAyfRh3NkXiSh9li1bhlWrVuHrX/+62qFMylj1h4Rd+FpaWs7b7B0MBmGz\n2TK+AqVVwweGRh05ciS5wW2UUeLlkrSJuZQL86lNnJJebsylts2dOxdHjhxRyjLmM2EFqq2tbdQ4\nI7fbDYO1BcsNAAAgAElEQVTBAJPJhGAwCL/fP+oYSp+PPvoIf/vb33DZZZepHQoRERER0SiXX345\n3nzzTbXDSKuEXfgsFgt6e3uV8sqVK1FTU4OysjJlm9vtxrZt2/DQQ5ndPC5LF74PPvgA//mf/4nb\nbrtN7VCIiIiIiEZ555138PHHH+Ozn/2s2qFMyoTGQI2cPaOgoACHDx8edVx0PadMJksFioiIiIiI\n0m+s+kNWogeNnHpQr9dj1apV8Hq9GBwcRDgchtVqHXPxWpqc6AJfpH3MpTyYS7kwn/JgLuXBXMpF\nxnwmvQ5UV1cXLBYL2tvblW3JrgNFREREREQkg3FPY+52u5V1oJYuXZquuFKKXfiIiIiIiChZaV0H\nSgtYgSIiIiIiomRNaAwUqW9kn9G2tja89tpr6gRDkyJj/9/pirmUC/MpD+ZSHsyl9tXX1+O5554D\nIGc+WYHSkG3btuH48eNqh0FERERElFAoFMJbb72ldhhpwy58GjJ37ly4XC7MnTtX7VCIiIiIiOJa\ntWoV/umf/gnf//731Q5lwtiFTxIDAwOYM2eO2mEQERERESU0Z84cDAwMqB1G2iRdgbLZbOjs7ITf\n74fT6YTZbMby5ctx5MiRNIY3vQ3vM/rBBx/g9OnTmDVrlnoB0YTJ2P93umIu5cJ8yoO5lAdzqX1z\n5szBsWPHAMiZz6QrUF1dXejr6wMAWCwWmM1mNDc3o6GhIW3B0TnHjh1Dbm4udDqd2qEQERERESUk\newtU0mOgamtrsW3bNjgcDpSXl6O/vx95eXnK9kwmwxiowcFBOJ1OfOtb31I7FCIiIiKihMLhME6e\nPIlPf/rTaocyYWPVH2aM92R2ux0mkwl5eXmTDoySN3v2bFaeiIiIiCjj6fV66PV6tcNIm6S78JnN\nZpSXl6OjowPNzc1wOp0oKChIZ2zTnox9Rqcr5lIezKVcmE95MJfyYC7lImM+k26BampqUsY7GQwG\nPPPMM2hvb0/6D3k8HvT19SEUCuHgwYNobW1VWrGam5thtVphMBhgMplgs9lQVFQEAPD5fOju7kZx\ncTHcbjcaGhqUGu1Y+4iIiIiIiFIt6TFQVqsVa9asUcptbW1wOBxYuXIlKisrx3xsOBzGtm3bUF9f\nDwBwOp1obGzE4cOHAQzN8BfdN5LZbFYmrwiHw6irq0NXV1fcffX19XHHY8kwBoqIiIiIiKZGStaB\nOnjwYEy5qakJPT09qKurO+9j+/v70draqpRLSkrg8/kwODg45uPcbjeMRqNS1uv1cDqdCfc5HI6k\nngsREREREdFEjFmBqq2tRXl5OcrLy+FwOFBRUYHy8nLl34KCgphKTCLFxcUxlZu+vj7k5ORg9uzZ\nyrbu7m44nU60tLQgHA4DGOqiZzAYYs5lNBrh8XgS7vN6ved/1hoxvM/oI488ggMHDqgXDE2KjP1/\npyvmUi7MpzyYS3kwl3L4xje+gZdfflnKfI45Bmrbtm3w+XxobGyE0WiEXq9XmrKMRiOKi4vR2NiY\n1B+aO3eu8ntHRwdsNptSNpvNypgno9GIsrIy9PX1IRAIJDxfMBhM6u/KYteuXfjSl76kdhhERERE\nacVhF3I4ceIE3n33XVxwwQVqh5Jy551EwmQyobe3F21tbWhqapr0H7TZbLjppptixk1FK0/R391u\nNwYHB2E0GhEKhWIeHwgEoNPpEu5LZMWKFUolzmAwoLCwEKWlpQDOfdORyWW/34/c3NyMiYfl8Zej\nMiUelidWjm7LlHhYnlw5ui1T4mF54uXS0tKMiofliZWFEPiP/3gapaWl2L9/v+rxsDzxciQSwf79\n+7F+/fqMiOd85c2bN8Pr9cY0+iSS9CQSiYTD4aRnvnM6ndDpdFiyZImyLTp7XnQyCADIyspCJBKJ\nu89oNCIQCIy5byQZJpH43Oc+h9/97ne4/PLL1Q6FiIiIKC3s9t343vf24LHHbkBVVYXa4dAk3H77\n7bjiiitw++23qx3KhKRkEomowcFB5SccDqO2tjapx0UnfYhWnux2OwAgPz8f9957r3Kcw+FATU0N\ngKGxU8P5fD5YLJbz7pNFtGYMAAMDA5gzZ456wdCkDM8laRtzKRfmUx7Mpba5XMADDwisXr0H77//\nDfzgB7vxwAMCTKt25ebmYmBgQMprM+l1oJxOJ2pqakZ1m9PpdOd9rM/ng9lsjtmWn5+P6upq6PV6\nGAwGZUxUf39/zPgom80Gq9UKk8mEgwcPJr1PJidPnoQQAtnZ2WqHQkRERJRypaXAwMAeBIM3ANAh\nGKzAVVf1oLSUrVBaNWfOHLzxxhtqh5EWSXfhKygowNKlS1FdXR0z815LSwt6enrSFmAqaL0L34cf\nfojdu3fjm9/8ptqhEBEREaWcEAKLFt2NAwceBqADILBw4d14/vmHk/qynjLP4OAgzpw5g5ycHLVD\nmZCx6g/jqkBFF74dzu/3Iy8vb3IRppnWK1BEREREMrPbd+O739Xh5MlzLU7Z2bvx+OM6joUiVaRk\nDFRjYyM2bdo0antHR8fEI6MxydhndLpiLuXBXMqF+ZQHc6ldQghs2rQHJ0+Wn93iAgCcPFkBq3U3\nvwTXOBmvzaQrUE888QSamppwwQUXYMGCBTCbzTCbzWhra0tnfEREREQkse7uPXjppaGxT7F0eOml\nCmzfntlDRWj6SboLX05ODhobG0d9C2Cz2cZcfykTsAsfERERUeYZPfZp1BEcC0WqGKv+kPQsfPfe\ne2/chXQXLFgw8ciIiIiIaNpK3PoUda4VimOhKFOMeyFdr9cLn8+HyspKeDweFBUVpSu2lNFqC5TL\n5UJpaSkeffRR5OXl4YYbblA7JJqgaC5J+5hLuTCf8mAutenWW1vg882MaV0KhY7AYJirlIUQMJk+\nxGOPPaRChDQZZrMZzc3NyhqvWpKSFii/3w+LxQKfz4f8/HxUVlZi69atqKioQGVlZcqCpdH+8Ic/\nYNasWWqHQURERJRS8SpFrAzL44MPPsDx48fVDiPlxjULX2trKwKBgNLq1N7ejo0bN6YtuOku+uYR\nDodhMBjUDYYmhR8E8mAu5cJ8yoO5lAdzKQ+DwYB58+apHUbKJd0CZTAYUFVVNWp7KBRKaUA0WigU\nYgWKiIiIiDTFYDBIWVdIugUqGAyis7MT4XBY2Wa1Wnljn0bRefNZgdI+GddAmK6YS7kwn/JgLuXB\nXMrDYDDgD3/4g9phpFzSLVDt7e2wWCxoaGgAAGRlZcFgMMDpdKYtOBoSCoWg1+vVDoOIiIiIKGkG\ng0HKMVBJz8J35MgRzJ07F3a7HT6fDwaDAcuXL9fEjb1WZ+GL2rNnD0pLSzFz5ky1QyEiIiIiSsrg\n4CAuvPBCXHLJJWqHMm5j1R+SrkAZjUbs3bsXhYWFKQ1uKmi9AkVERERERFNnrPpD0mOgcnJysHHj\nRtTW1mL79u0pC44SYx9geTCX8mAu5cJ8yoO5lAdzKRcZ85n0GKiOjg6UlZUBALq7u1FbW4vc3Fw0\nNjZqslVKC9hqRkRERESUWZLuwufxeFBUVITBwUG0t7ejvb0dPp8PFosFe/bsSXeck6LFLnxCCNxd\nV4eHOztjVucmIiIiIqL0SkkXvvr6eixfvhwGgwEPPvggqqurEQwGM77ypFV7uruBri70sLskERER\nEVHGSLoC5Xa7EQwG0dXVhUAggIceemhcM/B5PB7YbDZYrVbU1tbC7/cr+3w+H6xWK5xOJ6xWa8xa\nUxPdp1kuF8QDD2DP6tX4xvvv45crV+InS5YAEvYfnU5k7P87XTGXcmE+5cFcyoO5lEd/fz/+8R//\nUe0wUi7pMVD19fVob2+f0B8Jh8Po6+tDfX09AMDpdMJiseDw4cMAgNraWvT19QEAzGYz6urq0NXV\nNe599fX12LZt24RizBilpdgzMIAbgkHoAHx2cBD7IxH8qLRU7ciIiIiIiJI2a9YsvPvuu2qHkXJJ\nt0BFK08ej0eZhc/j8ST12P7+frS2tirlkpIS+Hw+DA4Owu12w2g0Kvv0er2yOO949zkcjmSfTsYS\nQmDPpk0oP3kSpQA+89FHGHjtNc2N4aJYpawAS4O5lAvzKQ/mUh7MpTwMBgM++OADtcNIuaQrUH6/\nHwUFBSgpKUFzczOAoUpVMlOaFxcXx1Ru+vr6kJOTg9mzZyuL8g5nNBrh8XgmtM/r9Sb7lDLSnu5u\n3PDSS4hOGzEI4IvHjnEsFBERERFpysUXXwwAOHXqlMqRpFbSFajGxka0trYiEAigqKgIALB161Zs\n3LgxqcfPnTtX+b2jowM2mw0AEAgEEj4mGAxOaJ9WDW99AgAXgBCAktOnsdtqZSuUhrE/tzyYS7kw\nn/JgLuXBXMrlkksuQSgUUjuMlEp6DJTBYEBVVdWo7eP9D7HZbLjppptQWVkJAMjNzR11jkAgAJ1O\nB6PROO59iaxYsUKpxBkMBhQWFipNxNELVe3yqYEB3OD1Yv+wuEMALgTwabcbPdu3o6KqKmPiZTn5\nstfrzah4WJ54OdrKnSnxsDy5MvPJMsuZV47KlHhYnlz50ksvRSgUwmuvvZYR8SQqb968GV6vN6bR\nJ5Gk14GyWCxYvnw5ampqlMkarFYrnnjiCWUih/NxOp3Q6XRYsmSJss3j8aC+vj7mHEajEYFAAG63\nGw0NDePeN+pJamAdKCEE7l60CA8fOIDhqz79EUAugH8AcPfChXj4+ee5LhQRERERaUIoFMLs2bOR\nlZWldijjMlb9IekWqPb2dlgsFjQ0NAAAsrKyYDAYlEkdzic66UO0+5/dbkd1dbVSjoouzgsMjZ2a\nyD4tGjn2KeqqYb9XvPSS0gpFRERERJTpRs5ZIIOkW6Ci7Ha7MoHD8uXLk1oLyufzoaCgIGZbfn4+\n3njjDQBDrVAOhwMmkwkHDx7Efffdh9mzZ09qX8yT1EALVMutt2KmzxfTunQkFMLcYS86IQQ+NJnw\n0GOPqREiTYLL5VKaiEnbmEu5MJ/yYC7lwVzKRav5TEkLVFR1dfW4AzCZTIhEIgn3FxUVKS1RI8dZ\nTXSf1sSrFGn1BUdEREREJKtxt0BpkRZaoIiIiIiIKDOMVX/Q1mguIiIiIiIiFbEClcF27dqFb37z\nm2qHQSkwcmpW0i7mUi7MpzyYS3kwl3JZs2YNfvCDH6gdRkqNqwLl8XjSFQfFcfz4cRw6dEjtMIiI\niIiIJuSiiy7Ce++9p3YYKTWuMVDhcBgOhwMGgwFlZWXpjCultDoG6uWXX8ZNN92El19+We1QiIiI\niIjGbceOHdiyZQt27typdijjkrJZ+PR6PaqqqhAOh2G1WnHs2DEsX7581FpOlBqhUEjKufOJiIiI\naHowGAwIh8Nqh5FS4+rC5/f70dLSgr6+PjQ0NODee++FwWBAd3c3bDYburu70xXntPS73/0uqXW2\nKPOxP7c8mEu5MJ/yYC7lwVzK5fXXX0coFFI7jJQaVwuUxWJBb28v8vLylG16vT6mTKlz/PhxtkAR\nERERkWZdeuml0lWgxjUGqqCgAIcPH05nPGmh1TFQ77zzDgKBAK644gq1QyEiIiIiGrdIJIJTp04h\nOztb7VDGZaz6w7gqUB0dHdDpdKivr09ZcFNBqxUoIiIiIiKaeilbSHfBggUwm83w+/0pCYzGxj7A\n8mAu5cFcyoX5lAdzKQ/mUi4y5nNcFSiTyQSfzwefz5eueIiIiIiIiDLWuLrwRYXDYXR0dGhmGnN2\n4SMiIiIiomSlbAyU3+9He3s7LBYLzGYzACAQCMDtdiMQCMBoNKKqqio1UacQK1BERERERJSslI2B\nslgsaGxsRFlZGfR6vTKFeVVVFerr6zOy8qRlN954I/70pz+pHQalgIz9f6cr5lIuzKc8mEt5MJdy\ncblcuPnmm7F9+3a1Q0mZcVWgAHDNpyn04osvqh0CEREREdGkXHLJJVKtBTWuClRTUxNsNtuE/5jF\nYhm1rbm5GVlZWTAajTCbzfB4PMo+n88Hq9UKp9MJq9WKcDic1D5ZfPTRR9Dr9WqHQSlQWlqqdgiU\nIsylXJhPeTCX8mAu5VJaWgqDwSBVBWrGeA5uaGiAx+OB3+8fV0uU0+lEf38/nE7nqH0FBQWIRCJx\nH1dbW4u+vj4AgNlsRl1dHbq6uuLuq6+vx7Zt28bzdDKaEALhcBgGg0HtUIiIiIiIJkyv10tVgRp3\nF76ioqJxd+MrKytDQ0PDuB7jdrthNBqVsl6vVypg8fY5HI5xnT/TnTp1CkIIXHzxxWqHQinA/tzy\nYC7lwnzKg7mUB3MpF5fLJV0L1LgrUOnQ3d0Np9OJlpYWpSuez+cb1fpiNBrh8XgS7vN6vVMWc7qF\nQiHMmjVL7TCIiIiIiCZFtgrUuLrwpYPZbFbWkTIajSgrK0NfXx8CgUDCxwSDwakKTzU5OTnYs2eP\n2mFQirA/tzyYS7kwn/JgLuXBXMqltLQUp0+fxne+8x21Q0mZhC1QLS0tyM3NxZEjR9IawPBFeIuK\niuB2uzE4OAij0TiqphoIBKDT6RLuk8nFF1+Mq6++Wu0wiIiIiIgmZcaMGcjKyoiObymRsAXK7Xaj\npaUFc+fOBQB4PJ6Yyk4quN1uNDQ0KJNBRM2ePRsmkylupaiwsBCRSCThvkRWrFihPBeDwYDCwkLl\nG45oX9tMK0e3ZUo8LE+87PV6sXr16oyJh+WJlzdv3qyJ9w+Wkyszn/KUo79nSjwsT7wc3ZYp8bA8\nuXJ0W6bEk6i8efNmeL1epb4wJpGAxWIR4XBYKdfU1MQ9buXKlYlOMYpOp4sph0IhYbfblXJvb6+o\nra1VyiUlJcrv/f39Se8baYynmdH27dundgiUIsylPJhLuTCf8mAu5cFcykWr+Ryr/qA7e8Aodrsd\ntbW1yM/Ph16vh8/nQ35+PkYe7vF4cObMmTEraR6PB729vbj33nuxZs0aWCwWlJWVARia4tzn8wEA\n+vv7cd9992H27NnK4xwOB0wmEw4ePJj0vpF0Ot2ouImIiIiIiOIZq/6QsAIFDM2E53A40N/fj+7u\nblRXV486kc1my/jxR6xAERERERGpJxKJQKfTQafTqR1KUsaqP4w5C5/JZFLWb8rNzUVTU9OoYxYs\nWJCCEGmkn//853j77bexYcMGtUOhFHC5XEofW9I25lIuzKc8mEt5MJdyieZzzpw5cZci0qKkpzGP\nVp727t0Ln88Hk8mEJUuWoLq6Om3BTWevvvoqLrroIrXDICIiIiKatE984hMIhUJSVKDG7MI3XDgc\nRklJiTJeCQDy8/Nx6NChhGOPMoUWu/Ddcsst+NrXvoZbbrlF7VCIiIiIiCblqquuwq9//WvMnz9f\n7VCSMlb9ISvZk9TX16O5uRmBQECZRnzNmjWor69PWaB0TigUgl6vVzsMIiIiIqJJMxgMo9Zx1aqk\nK1DAUCUq2uxmMBjQ0NCguZYdrQiHwzGtfaRtw9dCIG1jLuXCfMqDuZQHcymXaD6nZQUqFAph7969\nMducTqc0/xGZJhQK4dJLL1U7DCIiIiKiSTMYDBgcHFQ7jJRIegyUz+dDSUkJwuGwss1gMODQoUPI\ny8tLW4CpoMUxUC+++CK+8IUv4OKLL1Y7FCIiIiKiSYlEIsjKGlfnN1VNeB2oeOx2u7KoblVVVUoC\nTDctVqCIiIiIiEgdKZlEIqq6uhpNTU2aqTxpGfsAy4O5lAdzKRfmUx7MpTyYS7nImE/ttKMRERER\nERGpbNxd+LSIXfiIiIiIiChZKe3CR0RERERENF4ff/yx2iGkRNIVqNraWuTm5qYzFjrr+eefx+23\n3y5ln9HpirmUB3MpF+ZTHsylPJhLuUTz2dfXh0WLFqkbTIokXYEKBoNoaWlJZyx01l//+le8/fbb\naodBRERERJQSMi2km/QYKKfTCZ/Ph+XLl2P27NnK9lWrVuHRRx9NW4CpoLUxUL/85S/x3HPP4Ve/\n+pXaoRARERERTdp7772HL37xixgYGFA7lKSMVX+YkexJWltbEQgE0NjYiPz8fBgMBuTk5MDpdGZ8\nBUprQqEQDAaD2mEQKYxGI4LBoNphEBFRknJychAIBNQOg0ih1+sRCoUghIBOp1M7nElJugJ18OBB\nLF++HGVlZTHb+/r6Uh7UdBcKhaDX6+FyuVBaWqp2OJQCWs9lMBjUVCsuEdF0p+UbVK1/ZlKsaD4v\nuugizJw5EydOnMCll16qdliTknQFqqGhAa2traO25+fnJ/3HLBYLent7Y7b5fD50d3ejuLgYbrcb\nDQ0N0Ov1k9qndeFweFz/r0REREREmS43NxfhcFjzFahxrwPl9Xrh8/lQWVkJj8eDoqKi8z7G6XSi\nv78fK1euRCQSidlnNpuVVqxwOIy6ujp0dXWNe199fT22bdsW/0lqbAzU0aNHcdFFF+GTn/yk2qEQ\nAdDeNURENN3xfZsykZa676VkHSi/34+CggIUFxejubkZALB161Zs3779vI8tKytDQ0PDqO1utxtG\no1Ep6/V6OJ3OCe1zOBzJPpWM95nPfIaVJyIiIiKSilYqT+eTdBe+xsZGtLa2xlSG2tvbYTabUVlZ\nOaE/7vP5Rk2WYDQa4fF4JrTP6/WisLBwQrFkIvYBlofsuXS5hn6iv0efamnpud8z+fxEUyqdL2he\nLCQB2T8zpxsZ85l0BcpgMKCqqmrU9snM5z7W7DBjzfjF2cCIMsvwezOd7tz9m1bOTzSl0vmC5sVC\nRJR241pIt7OzE+FwWNlmtVonNd12bm7uqApYIBCATqeD0Wgc9z7ZyFZbn86YSyIiouTwM1MuMuYz\n6Rao9vZ2WCwWpfteVlYWDAaDMi5pIkwmU9yKT2FhISKRyIT2JbJixQrMnTsXwFBrWmFhoZJQ19lv\n6FhmmeXEZVl1dHSgo6MDRqMRPp8P1dXVeOihh2KOCYVCqK+vV75AamxsjNsiH9XY2IicnJxR56H0\ncjgcWLlyJXw+HwCMmrSIJo/Xizom+trOlM8PllmOls+cOYNrr70Wl1xySUbEM7y8efNmeL1epb4w\nJjFOXV1dorW1VbS3t4tgMDiux+p0ulHbSkpKlN/7+/tFbW3tpPeNNIGnqZqBgQHx5S9/WQghxL59\n+9QNhlJG67kczzUE2NIYSWrP39raKiwWi1L2+XxCp9OJxsZGZVswGBQmk0nYbLaYY+x2e8Lz6nQ6\nYTQaUxYnjU9NTY3IyspSO4yk2NL4+ZTqc/N6Ud94XttauvcZSeufmRRreD5tNpv43ve+p14w4zDW\nNZR0F76o6upq1NbWoqGhIenuex6PB21tbdDpdGhpaYlptbLZbLBareju7kZHRwdsNtuk92nZe++9\nh3fffVftMIgm5OjRowB+irfeeksT53/iiSfgdDrh9/sBAHl5eSgqKkJHR4dyzIMPPohQKIS6ujrl\nmOrqamU20pE6OjpgMBgQDAaleV/SGqGRqZuPHj2KnwJpuV7ScW5eL+rTymubKJE5c+ZgYGBA7TAm\nL9laWCgUEjU1NUKn0yk/K1euTEH9Lv3G8TRV9/vf/14sWrRI7TCIYiR7Dd17708FcEDcd9/P0hJH\nqs9vt9tHvY+ZTKaYb8MNBsOoFu729nah0+mE2+0edc6SkhLhdDqFTqeLaSmnqVNdXa2JFqif3nuv\nOACIn913nybOzetFfeN5bWvp3ofkFolElN9/97vfiWuvvVbFaJI31jWUdAtUfX09QqEQtm7dip6e\nHmzbtg0DAwNYtWpVuup209LAwADmzJmjdhhESVm/fguuueYulJauQ2npOnR1HQNwNbZtG1C2XXPN\nXVi/fktGnr+qqgqPPvqoUnY4HPD7/co34aFQCOFwOGbdOQBK+dChQzHb3W43cnNzsWTJEixduhRu\ntxsej+e8cTQ3NyMnJwdZWVnYu3evss1oNCIrKwtWqxUA0NbWphxns9nQ2NgIo9GIgoIC5ZjocVlZ\nWcjKysKqVasQDodRUlKCrKwsFBQUYPv27fB4PMjPz0dWVhZaWlrQ0tKinDvasm+xWGA2m5XzNjY2\nory8HGazGQUFBWhpaYl5Hh0dHco5rFYrLBYLjEYjzGZzTM+DZI8bfrzZbEZ5eTnKy8tH/Z+2tbWh\noKAgJiaRgd/Ub1m/Hnddcw3WlZZiXWkpjnV14WoAA9u2KdvuuuYabFm/PqPOHZUp14sar2++tokm\nRgiBu+vqlNdtbm4ujh07pnJUKZBsLSzRN0M1NTXjq86pYBxPU3WdnZ3i1ltvFUKwD7BMtJ7LRNdQ\nMBgUZvP3BRAUgIjzExBm86pxj5ecqvNHlZSUiPz8fKHT6ZSxG0IIcejQobit7b29vUKn04mWlpaY\n7Q0NDcLpdAohhHA4HEKn0yX9Hmm324VOp1MeL8S58SNWq1XZFj1vNNZwOCyam5uFTqcTDodDOS66\nLRwOK9tGPpeOjo6YcvTczc3Nwm63i8bGRpGVlSV8Pp+orq4W+fn5o47t6OiIeR5ut1vodDqRlZUl\nPB6PEEKItra2US0QyR7X1NQkcnJylOcR/X8KhULK/uH/b9FzZGILVDAYFN83m0Uw/otZBACxymye\n0Os5neceKROuFzVe31p7bWvp3mckrX9m0jm7urpE1SWXiN1nx0H+7W9/E7m5uSpHlZyxrqGkr65E\nb2qsQKVWa2urWLNmjRCCbyAy0Xoux7qGEldyUlO5Sff5h4ve+DQ3Nwshxn9DOPwGTIih7k3Db4jG\nEj3n8ApUMBgcVYGKxjSym9TIeKKVr7a2tpjH5eTkKMfU1NQIv98/KoaCggIhxFDX7e7ubiGEEI2N\njaMG+sf7P0j0fzby5jiZ46LPf/jfiG6L5kin04ny8vKYcxgMhoysQAmRuKKTigpOOs8dj5rXixqv\nb629trV07zOS1j8zaUgkEhGrFy4UewGxeuFCEYlExOnTp4XRaBRnzpxRO7zzGusaStiFz2q1YtOm\nTcqP0WjE5z//edx7773YtGkTWlpa8PnPfx4rV66cioayaaOurg4//OEPAcg5b/50JXMuDQYDens3\nYFC8E9MAACAASURBVN68n8RsnzdvA3p7N05qrbh0n9/n88WsbVdUVITq6mq0tbXhyJEjMJlMAEav\nMxddhy4/P1/Z1tHRAZ/PB6PRqPxEB9sPH2SfKgsWLBi1bfj6eHl5eSguLkZ7ezuAoaUo2tvbEQqF\n0N3djVAoBJ/PF3e61qVLlwIA9Ho9KisrAQBbt27FsWPH4HA40NLSgvLy8lF/c7iSkpKYcl5eXtwu\nTGMd19fXBwDo7e1VujjV1tYiPz8f4XBY6e4UzVPUyHImMRgM2NDbi5/MmxezfcO8edjY2zup13M6\nzw1k1vWi5uubr+30k/kzc9pwubBn+XLc4HbjegAVbjd6li/HBb/7HY4dO4asrHHPY5dREkbf3NyM\nrVu3Kj8OhwORSARdXV3YunUrOjo60N/fj6ampqmMV3pGoxGf+tSn1A6DaFyOHz+OwcHLMWPGKwBW\nY8aMVzE4eDlOnDiRsecPhUIoKCgYdZOTk5MDYOhm0WAwwGAwJFy4e/jNTFtbG3w+HwKBgPITDAYB\nDM1MNhHRNV/iSeZGqrGxET6fDw6HA4cOHUJ9fb1y09nV1ZXwC7CR/ycAYLfbUVBQAK/Xi5tuugk9\nPT3JP5GzRo6NOd9x0f/3lStXoqenR/l544038Oijjyp96kdWDJL9O2o5fvw4Lh8cxCszZmA1gFdn\nzMDlg4MpuV7Sde5MvF4y6fXN1zZRLLF4Mfb8+c8o//hjAEDFxx9j95//DLF4scqRpUbCClRVVRUO\nHz4c89Pf36/8HggEEIlElG9RKPVkX8B0OpE9lz//eTfOnHkTq1f3AmjF6tU9OHPmTWzZ0p2x549W\nTiwWS8z2kTd7DQ0NOHjwYMwxhw4dQn5+PpYsWQJgaDC8wWAY9W23Xq9HdXW18q34eE32/bW+vh4A\nUFtbi5tuugnA0E2nw+FAW1ubMtX0SCNv0nw+H2pra1FTU4N77rkHhYWFCVueEsXu9/tRXFw8ruOi\n/448JhQKwWazKS0a/f39o+LNZN0//znePHMGvatXoxVAz+rVePPMGXRvmdhkKFNx7ky8XtR6ffO1\nnX6yf2ZOB3u6u3HDSy9BB8AFQAeg4qWX0LN9u7qBpcpk+wdqYSrzFDxNVbAPsDy0nsvzXUMbNrQL\nr/eVs8cObfN6XxEPPtgxxqOSl67z5+fnxwzqjje+KBQKiZycHGUweX9/v9DpdMrYCSGEKC4uTjjR\nTldXV1JTNEfPGx3/EAwGRUlJScw2Ic6N4xi5MOnIBU2jogtvRgeqh0KhuGOoxjp3NLboIqrBYFAs\nXbpU2TZ8zEr0/9BoNCr/t01NTTED6sdzXHT5jGhMwWBQWCwW5ZjGxkah0+mEz+cTQpz7/87UMVBC\nCNG+YYN4xesdKpx9Qb/i9YqOBx/M6HNn0vUSNZWvb629trV67yOE9j8zp7tIJCJWf/GLInJ2HOa+\ns/9GgKHtw6Y1z2RjXUNJX10+n0+UlJSInJycmJ9M/pCK0vKbCFEmGM81lO7LLZXnD4VCorGxUZSU\nlCg/wydsiPL5fKKmpkZYLBZhsViUiR6CwaAyqDt6wzT8Bqm4uFh5n4zuHz6ofSS73S7y8/NFSUmJ\nqK2tVQbp63Q6YTablf1ZWVmioKBAtLW1CbfbLSwWi3JjNfJLLYfDMWogek1NTcxkFUIM3ZxFz52f\nnz9qwH9bW5vyvl9eXi48Ho+ybfjNavTm0WazCYvFInJycoTZbB7195I9ToihGdfy8/NFTk6Osm5Q\nvP0lJSWiublZuTEdmY+MlM4LJsXnzrTrRYipfX1r7bXNex9Sy66uLrE7OzvujKC7srOVGfky3VjX\nkO7sAedVUFAAk8mEpUuXxvTJbWtrw+HDh1PeMpZKOp2O6yYQTcJ4riGdbuhdMn2xpPf8NDlutxtm\nsxl2u10ZoD+Z46SXzhc0L5aU0tprm/c+pAYhBO5etAgPHzgAXbz9AO5csAAbHA7Mnj17qsMbl7Gu\noRnJniQQCMStKA2fVYcm5/Tp07jiiivwpz/9CTqdDi6XizPRSIK5pOkm2YUSpVhQkaYVvrbTj5+Z\n2jV87FOUC0Dp2d91AE56vfjed74D+1NPTXV4KZN0Baq+vh6dnZ2jBmU6HA6UlZWlPLDpKBgMIhAI\nQKeLV2cnylwu19APACxeDKxbN/R7aenQT6afn1LDbrejpaUFOp0Ora2t8Pl8cWdUS/Y4aaXzBc2L\nJS342iZKjmvHDsw0m/H8sHvZI6EQXMN6r7339tvwv/qqGuGlTNJd+Px+P/Lz86HT6ZCXlxez/cyZ\nM2kLMBW00oz9f//3f/jWt76F1157Te1QiGJo5RoiIqIhfN+mTPXUU0+hs7MTzzzzjNqhjCklXfhq\nampQXFyMsrIy5ObmKtvTsUDkdDUwMIA5c+aoHQYRERERUVrMmTNH811ck65ARRe8G4ljoFJnZAWK\nfYDlwVwSERElh5+ZchmZzzlz5mBgYEC9gFIg4UK6IzU0NGB7nMWvuJBu6gwMDMS07hERERERyWTO\nnDm44IIL1A5jUpIeA2U2m+F2u5GTkxMzBsrj8XAMVIqcOHECH3zwAbvxUcbRyjVERERD+L5NNDkp\nGQPV39+PpqamUSfy+XyTi44Us2bNwqxZs9QOg4iIiIiIEki6AnXvvfeiqalp1PYFCxakNCA6h32A\n5SF7LofPnOxynZstOR3TmKfj/ERTKp0vaF4sJAHZPzOnGxnzmXQXvkT8fn9Ml76JaG5uhtVqhcFg\ngMlkgs1mQ1FREYChFq7u7m4UFxfD7XajoaEBer3+vPuG02oztowvuOlK67kczzWk0wHpvNzSfX6i\nKZXOFzQvlmlNq/c+gPY/MymWVvM51jU06QrUggULcPDgwcmcAjabDfX19XH3mc1mZaKKcDiMuro6\ndHV1xd1XX1+Pbdu2jTqHlt9EiDIBK1BEacIKFKUJ732IJmesayjpWfiysrLi/hw6dChlgY7kdrth\nNBqVsl6vh9PpTLjP4XCkLRYiSla6P7BTe/6Ojg6YzWaUl5ejoKAALS0to44JhUKoqalBeXk5ysvL\n0d3dHfP4goKCmPdFs9kMs9mMgoIC1NbWKu9blF4OhyMmF1qQzqslHefm9aIOLb62icby/vvva3sq\nc5Ekk8kk7Ha76O3tFV1dXaK1tVUUFxeLjo6OZE+RUEdHh7Db7cLhcIjm5mYRCoWEEEJ0dXWJmpqa\nmGPz8/OF2+1OuM/j8Yw6/ziepmpOnTolPvvZz4ozZ84o2/bt26deQJRSWs9lstdQJBIRwGoRiUTS\nEkeqz9/a2iosFotS9vl8QqfTicbGRmVbMBgUJpNJ2Gy2mGPsdnvMuUpKSkRWVpZwOp3KtlAoJPLz\n84VOpxM+ny8lMdP51dTUiKysLLXDOK9IJCJWA2m5XtJxbl4v6vv/27uf2DbS8g/g33FX/ETF1h7v\nGZFkfOBGExtVCHbLJrYD2gNSE7vlgOihtY3En2XVZLLt0l2BUIndXXFAgtgHJG409gqhRds29m4R\nQmhp4hTt3rYZZ+GGaGIHKdVCyfM7ZGfq8b84iR173O9HstoZv3nn8bzzet7XM+87+zm2ndD2acbp\n50yya1Se169flxdffPHog9mHVnWo7Z8xdF3H1NQUgsEgpqenMTs7i5WVFSwtLR26ExcIBDA1NYWJ\niQmcPXsWExMTANDwwb2mzc3NQ2+3n/z973/HU089xV+WyNFyuVsAgDffvO2I/H/729+iUCigVCoB\nAIaHhzE6Oop0Om2luXbtGsrlMi5cuGClmZ6ehq7rtrxUVYWI1F0Zj8fjAIBsNtuRmGlv4pDblm59\ncmXmdoNnLPZj3qwvveeUY5toL5/73Oewvr7e6zAOrO1Z+GKxWMP15XL50EGYE0aY/y8Wi9ja2oLX\n663Lf2NjA4qiNH2vmfPnz2NoaAgA4PF4cPLkSWtA251PZizq5fLKyooVXz/Ew+XOL5v6JZ6Dxt+M\niOD69VsA3kAq9RLOnAlDUZS2/rZX+V++fBn5fN42EU65XIaqqtZyOp1GOBy2/V0wGEQ2m8Xq6qrt\n+6tZ3ABseRKJCG5dv443ALyUSiF85kzH6ku38mZ9cZ5+OX9wmcu1y0NDQ/jggw9wp2qCiV7H9/Of\n/xz37t2z2uMttXsZKxQKSTgcllAoZL00TbNdzj+IlZUV8fv9tnWKojR9T1XVPd+rtY+P2TOZTEbO\nnz/f6zCIGmqnDi0uvi3Hj98UQOT48bclm73Z0Ri6nb+IyNLSkiiKIrlcTkR2b0dSFEUSiURNLIui\nKIrtFuZgMCiKokixWLTWraysiKZpEg6HW253dnZWPB6PKIpi3dI0OzsrqqqKoiiSTCZFZPcWKjNd\nOp2WWCwmqqqKpmlWGjOdoihW7OVyWcbGxkRRFNE0TXK5nBSLRRkZGRFFUUTXddF13co7m83KwsKC\nBINB2/dsLBaTUCgkfr9fNE0TXddtn2NhYcHKI5lMSjAYFFVVxe/3Sz6f33e66vR+v98691TvY/Pz\nappmxTQ9PW2dR/rV24uLcvP4cRFA3j5+XG7W3OLWr3lX61V96cXx7cRj2wltH3py/fOf/xSv19vr\nMFpqVYfarl3mfc6xWMx6pdNpa7zSQZXLZdu90UtLSxKNRq3l6i+3tbW1tt+r5oQvkVdeeUVee+01\n2zreAzw4nF6We9WhnZ0dOXXqRQF2ZHfar93lTo2/6Hb+ZoNJURRr7IbIboOuUYPQbDjOzc1Z68wG\noaZp4vf7rc6P2cDbSzabtXWgRB6PH0mlUta6fD5vNR4zmYxUKhXRdV0URbE10Mx1lUrFWlf7WdLp\ntG3ZzFvXdclmsxKPx8XlcolhGDI9PS2aptWlrR0HWywWRVEUcblc1pjUZDJZ11huN53ZkTQ/h7mf\nzH06Oztr229mHv08BmpnZ0dePHVKdnYPZtkBdpc7cDx3M29TP9SXXhzfTju2ndD2acbp50yya1Se\nOzs7cvz4cdna2jr6gNrUkQ7U7OxsR4JpJJ/PSzqdlnQ6Lbqu274Qi8WiJJNJyWaz+3qvmhO+RL71\nrW/Jr3/9a9s6foEMDqeX5V51qPrqkPnq5FWibudvMhs+5i/PB2kQVk9kUy6XJRQKNRxEX8vMs7oD\nZf6iX92BMmOq/cGoNh6z82VemTL/rvpKfSQSkVKpVBeDz+ez4jevLsTj8bpfC2u3Wb2d2n2mKIpt\n4p920pmfv3ob5jqzjBRFqbti4fF4+roDVX2FyHx16kpRN/Ou1cv60ovj22nHthPaPs04/ZxJds3K\nc3Jysq8njDlQByoQCHQlmF5wwpfIxx9/LA8fPux1GEQNtapD9VeHpKNXibqZ/9raWt2v3ZFIRBRF\nkVKpZDVoajsr5i1J1b++N2oQiuw20swrRq3stwNVvU6k/td3kcdXCkTEumvAbJxubm7W3QZtxlCb\nT20aXdethm5tWjO+6n0jsjuTa3UDtZ10ZjzVtziFQiHx+XySSCSsBnxtDGNjY33bgaq9QiQdvFLU\nzbxF+qu+iBz98e20Y9sJbR+iftaqDjWdRGJlZQXf+c53MDY21vB9pWpAqjnbDh3cpz71qV6HQHQg\nudwtvP/+1wDUDlJX8P77k3jzzduYmprsu/zL5TJ8Ph9GRkZw//59a705eN0wDIyPj8Pj8TSdsGZk\nZGTP7bjdbrjdbmxtbWF9fb29wamfMAyj6XvtbDsejyMejyOfz2NlZQULCwvWa2NjA4lEouHf+f3+\nunXZbBZzc3NIJBI4d+4cfvazn+171tDqGdfaSWfu90Qi0fA8UywWAexODHSQ7fTCrVwOX3v//QZH\nMzD5/vu4/eabmJya6ru8+7G+9NPxzWOb6MnS8ttBmkyXubKyglgshlgsZvsipc5qd/Yz6n+DWpby\nycx429vhhu9vb08ilbp54Kl3u5m/2TkJhUK29bWNvVgshrt379rSrKysQNM0jI+Pt7WtSqUCAPvq\nPAHA8vLyvtLXunjxIgAgGo3i3LlzAGA1OJPJZNMfv2obaYZhIBqNIhKJ4NKlSzh58uSeM7DWxl4q\nlRr+INcqnflvbZpyuYxMJgNN0wAAa2trdfH2I/lkdrzw9nbD9ye3t3EzlTrQ8dzNvIH+rC+9Or55\nbHffoJ4zn1Tvvvtur0PovGaXpoLBYMP15sBN84G2TtDiY/Y13gM8OJxels3qUKOxSbWvw4xV6nb+\ntd9jjcYXlctlUVXVGky+trZmm3nMZM4CVjvTViwWa3jLXS0zX3P8g3kLUvU6kce3/tSOETEn+qll\nPnjTHCNq3iLVaNKdZnmbsZmzrm5ublq3YIVCIdttXeY+9Hq91r6dnZ21DajfTzrzFjEzps3NTQmF\nQlaaeDwuivL4wavm7WL9eAtfo/FJta+DjlfqZt6mfqovpqM8vp12bDu17SPi/HMmPbazsyNf//pU\nVx4Y3m2t6lDbtatYLFqz7jQ6SfczJ3+JEPWDZnXo/Hldnnvuqpw+/ar1Al61LT/33FU5f15v+Pd7\n6Xb+5XJZ4vG4+P1+69Wo4WYYhkQiEWucQvU4pYWFBeu70eVyWVMWm1MPh8PhusZjM9ls1pqVLBqN\nWuMgFEWRQCBgve9yucTn80kymZRisWiN13C5XHVjJvL5fN1A9EgkYvsMIruNMzNvTdPqJodIJpOi\nqqqoqirhcFhWV1etddWN1erxH6FQSFRVlUAgULe9dtOJ7P5wp2matW9r05jv+/1+0XXdaph6vd66\nMTa9pJ8/L1efe05ePX368QuwLV997jnRD/BIi27mbeq3+iJytMe3045ttn2oHywuvi1PP/1iVx49\n0m2t6pDySYKWUqkUdF2Hx+PB4uIiJiYmunlRrOMURenrp3c/evQIx44d6+hDR4k6aT91SFF2f+7u\nXizdzZ8Op1gsIhAIIJvN4syZM4dON/C6eUCzsnSU047tfm/70OATEXzpSy/hvffewKlTL+Evf3nD\n1tbd2dmx6ks/alWHWo6BKpVKCAQC0HUd09PTKJVKdZ2n9fX1jgX6pPrpT3+KH//4x3XreQ/w4GBZ\n0pPmwYMHHU1H1C94bHcfz5mD4fEkUH+0Jn2q9ZWvfAUPHz48+uAOqeksfOZVJwBYXFzEVJOZe0Kh\nED788MPuRPeEWF9fx5e//OVeh0F0YHfu7L4A4PRp4LXXdv//1a/uvvo9f+oMcyYzRVEwPz8PwzBw\n7dq1A6cbWN08oFlZuoLHNtH+vPuu4MUXb2F7+w0Af8T29iR+8IOX4PWG8fzzu1ehXC4XPvvZz+Kj\njz7C5z//+d4GvE9Nb+Ezp+8MBoN102iaisUiSqUS/ve//3Uvwg7o98vY4+PjuHz5MoLBYK9DIWqo\n3+sQERHZ8XubeimbvYlvf1vB9vbjx4wcP34Tv/mNYnv0SCgUwqVLlzA5efDHnXRLqzrU9AqUx+PB\nyspKy8pXLBYRjUYPH+ET7v79+/ue3piIiIiIqN+ICK5eNa8+Pba9PYkf/eglnDkTtsZCDQ8P4/79\n+33ZgWql6RioixcvYnh4GCMjI01f09PTmJmZOcp4B84//vEPPHz4sOEDBnkP8OBgWRIREbWH50xn\ny+Vu4aOPvgZYj/W+88m/Cj76yD4W6tSpU/jzn/98xBEeXtMO1Pz8fFsZtJuOGvvggw8QDAb39cRz\nIiIiIqJ+IyK4fv0WtrfDDd/f3p5EKnXTusPt+eefx4kTJ44yxI5oaxpzp+v3+4BFhFOYU1/r9zpE\nRER2/N6mXmg09qlWo7FQ/ehAY6Do6LDzRERERERO94c/3EEg8H9QlL80TSMieOutj/u+A9UKr0D1\nsTt37uCrnHZ2IDi9LL1eLzY3N3sdBhERtUlVVWxsbPQ6jANx+jmT7JxanrwCRUSH4tSTcDc49URA\njbE8BwfLkoiOCq9AERERERERVWnVf+DUbz0iIsjn83j06FGvQyEiIiIi6pl3330Xf/rTn3odRtsc\n3YEyDAOpVAqFQgGpVAqVSqXXIbXtd7/7Hb73ve+1nECCz0EYHCzLwcGyHCwsz8HBshwcLMvB0k55\nVioVJBIJ/Oc//+l+QB3g6A5UNBrFzMwMJiYmEIvFcPHixV6H1JZ///vf+P73v49f/epXOHbsWNN0\n9+7dO8KoqJtYloODZTlYWJ6Dg2U5OFiWg6Wd8vzGN76BoaEhvP7660cQ0eE5tgNVLBbh9XqtZbfb\njXw+38OI2vfqq69iYmICp0+fbpmuXC4fUUTUbSzLwcGyHCwsz8HBshwcLMvB0k55KoqCX/ziF3j9\n9ddhGMYRRHU4ju1AGYYBj8djW+f1evv6V4t//etf+OY3v4nFxUWkUqleh0NERERE1BeGh4dx5coV\nPPvss3jrrbd6HU5Ljp3GfL/TKr/wwgsAYM2m8fvf/x5PPVX/8V944QU8evTISmf++/bbbzdMHwqF\nGqYvFAp16Z9++mmcOnUKmUwGn/nMZ/aMeX19vc1PR/2OZTk4WJaDheU5OFiWg4NlOVj2U54//OEP\n8eyzz+LTn/50w/evXr2K9957D8eOHYPL5bLmEnjllVdw6tSpuvQ/+clP8Ne//rVu/X7T13LsNOa5\nXA4LCwu4ffu2tc7r9eKdd97ByZMnbWlPnjyJv/3tb0cdIhEREREROdAXvvCFpne2OfYK1MjISMOr\nULWdJ4CDEYmIiIiIqDMcOwZqdHTUtmwYBkKhUI+iISIiIiKiJ4Fjb+EDgNXVVeTzeYyMjODu3bu4\nfPkyTpw40euwiIiIiIhoQDm6A0VE1G2hUAhLS0u2dYZhIJfLYWxsDMViEbFYDG63u0cRUrsalaWu\n60ilUvB4PBgZGUEmk6m7w4GIiKiaY8dADSo2zAYLG2fOVSgUsLa2hkKhUPdeNBrF8vIyACAQCODi\nxYu4cePGUYdIbWpVlj6fDzs7Oz2Iig5qdXUVy8vLKJfLuHv3Lubn5zE8PAyA51AnalWePIc6S7FY\nxObmJsrlMpaWlqDr+uDWTaG+4vf7rf+Xy2WJRCI9jIYOK51O9zoEOiRFUWzLKysrEgqFbOtUVT3K\nkOiAastShHXUacrlsq3M8vm8aJpmLfMc6ix7lSfrp7OoqiqVSkVEdsuuuj4OWt107CQSg6hYLMLr\n9VrLbrcb+Xy+hxERUS0nPsSbWsvlcigUCpibm0OlUul1ONTC2toa5ufnrWW/3w/DMLC1tcVzqAO1\nKk9ynvX1dWsuAlVVrWc0DWLdZAeqj7BhNpjYOBss+32IN/W3QCCAqakpTExM4OzZs5iYmOh1SNTC\n2NiYreG1vLwMVVVx4sQJnkMdqFV5mngOdY7qckun01bneBDrJsdA9RE2zAZPIBCw7tf2er2YmJiw\nxs6QMz3zzDMol8u2day7zlU9nmJ0dBTFYhFbW1uc0bWPDQ0NWf9Pp9PIZDIAWA+dqll5AjyHOlGp\nVEI2m0U4HMb4+DiAwaybvALVR9gwGzzNGmfkXPt5iDf1t2KxiEAgULeenSdnyGQyOHfuHM6cOQOA\n51Cnqy1PgOdQJxoeHsbMzAyGh4cRDocB7HZ+B61usgPVR9gwGyxsnA0mPsR7cGiahpdfftlazufz\niEQiPYyI2lUoFKBpmq2xzXOoczUqT55DncUwDKRSKWt5YmIC+Xwe6+vr0DRt4Oomb+HrI2yYDRY2\nzpxtdXUVS0tLUBQFc3NzCIVC1viYTCaDVCplPcS7+pYT6j/NytLtdsPj8Vjlt7a2xrJ0AHNAunnO\nzGazmJ6e5jnUoZqVJ8+hzlIqlfDgwQNr2TAMqKqKoaEh222a5ntOr5t8kG6fWV1dRT6ftxpmly9f\n5q8tDlYoFGAYBoDdxhnLk4jo4AzDgM/ns63TNA0ffvghAJ5DnWav8uQ51FlyuRw2Njbg9XqxtLSE\nRCJhXWUatLrJDhQREREREVGbOAaKiIiIiIioTexAERERERERtYkdKCIiIiIiojaxA0VERERERNQm\ndqCIiIiIiIjaxA4UERERERFRm9iBIiJyiHQ6DZ/PB5fLBa/Xi3A4jHA4jEAggLm5OVQqla5tW9d1\nqKqKQCDQ0Xyz2az1Oebm5qz1uVwOgUAALpcLLpcLk5OTXf18RyGdTnd8/zVSKBS6vg1g98GZpVLp\nSLZFRNRP2IEiInKIWCyGpaUlAMDly5dx+/Zt3L59G4VCAfl8Hn6/v6Pbi0aj1v/n5+cRj8ehKErH\n8jcMA9FoFNlsFqFQCJlMxnpvamoKy8vLAIB4PI5bt27B7XbvK//q+Huhdvtf/OIXce7cua5uU9f1\njpZRK8PDw9B1Haurq0eyPSKifsEOFBGRg6iqWrfO7XYjk8nAMAzbVZzDMAwD5XLZtk5E0Mlnr+fz\neWiahhMnTmBmZgYrKysdy7tR/Eep0fZHR0dx6dKlrm0zn8+jVCphfHy8a9uolclkEIlEjmx7RET9\ngB0oIqIBMDo6CrfbjWw225H84vF4R/JpZW1tzXZVaWhoqGN5H0X8/bb9eDyORCJxpNt0u90YGxuz\nXT0kIhp07EAREQ2IkZER25gUwzAQCoUQjUYRDoet99LpNFRVhc/nQyKRQCAQQCAQsN5PJpMolUpY\nXl5GNBpFKpWybSeTycDn88Hn8+053sYwDITDYUSjUUSjUWscUzKZRC6Xs27ja/c2sGQyaY3FSqVS\nDeNoFn+z/WGO7wqHwygUClYaYPeqjhm7z+er2xeN8kylUnXbn5ubs/Z5O/tmr8/YaD+XSiXbGKvq\nfObm5uD1eq1y1nUdXq8XPp/PVu77SW8KBAJYWFhoq/yIiAaCEBGRY2xuboqiKJJKpereCwaDoiiK\nVCoVEREZGRmRTCYjIiLZbFY0TbPS6rouiqJIoVCwlqvfj0QiEg6HbfnPzs7ath2Px0VV1Zbxejwe\naxvpdLouhkAg0PLvFUWRRCJhW2fG3iqORvG32h/xeFz8fr+k02lJJpPi9Xqt+M2/MQxDFEWRUqlk\n+3zm+36/X6LRqIiITE9P120/mUzatrnXvtnPvl5cXBRFUerWm/nkcjkrRkVRrJhDoZD4/f4D7+ln\nKgAABAhJREFUpxcRWVhYaLhtIqJBxStQREQDYmNjA4qi4MSJE8hmsyiVStb4lImJCRiGgXv37gHY\nHc+kqqo1XiYWi9W9Lw3GOymKYo3jmZ6eRrlcxtbWVsN4stksKpWKtY1IJALDMPDOO++03MZeRGTP\nOGrz3mt/uN1uFItFnD17FjMzM3jw4AEA4MqVK9bkHGZ+5tgm8/NduHABAHD27FnbrXu1n602nr32\nzX72tWEYTfeVqqo4c+aM9bkVRbFiDgaDtr/db3oA8Hq9ANA0NiKiQfNUrwMgIqLOMAwDIyMj1v8B\n4OLFi9b7mqbBMAycPHkSwO4saiazEVz9fqPZ3MbGxur+plU81Twej7X+sBMdtBNHdfzt7A9zQotq\nFy5csCbmMOPf2Niw5WmamZlpuv1a7eyb/exrs9wbqS7nZ555xrZsbvcw6U21+46IaFCxA0VENAAM\nw0ClUsGVK1cAPG7o3rhxo+XfmMxOgdkQ93q9tjE5kUgEiqLs64qRpmm2ZfPKTavGfrv2iqM2/v/+\n978AWu+P2s5BuVyG1+tFPp/H+Pg4yuUykslkXfpKpWJNhlEqlTA8PNxw/1Wr3QeN9s1+9nUn9ulB\nGYbR8Sn0iYj6GW/hIyJyELOjU9u4jsfj8Pv91i1fZ8+ehcfjsU16EI/HbZM1lMtla2KChYUFaJpm\nXY1RVdXqYOXzeQwPDzdt0DdbPzU1BY/HY23jxo0b0DRt31ef2u1IVKerjf+73/3unvujdor4fD4P\n4PEVmWvXrgEANjc3AezuY2B3Egoz/fz8PIDdzlXt/qs2PT19oH3TbF+MjY1hZGTkyB6iW+3u3bvW\nviAieiIc4XgrIiI6hIWFBdE0TVwul6iqKqFQyBrUPzc3V5e+WCyK3+8XTdPE7/dbEwOI7E4I4ff7\nRdd18fv9EggEbJMjGIYhmqaJqqqSy+Ukm82Kqqricrlkbm5ODMOQUCgkLpdLwuGwlMvlhjGb6SKR\niESjUWuCi8XFRSu/2kkiRHYnefD7/eJyuURRFGsb1X/XKo7a+Fvtj4WFhaaxhEIha1/ncjmJx+Oi\naZqsrq6KiEg+n7e2Uz1pRKP9Z5aduY129s1+9nU2m5VIJGIt1+ZTHcPc3JwVuxlTbRnvlV5kd1KT\n6skviIieBIpIB5+KSEREjqDrOgqFApaXl3sdCnVQNBrFyy+/jNHR0SPZXiKRQDQaPdKH9xIR9Rpv\n4SMiIhoQN27caDojX6eVSiUkEgl2nojoicMrUERET5hsNotYLIZKpYJYLIZf/vKXvQ6JiIjIMdiB\nIiIiIiIiahNv4SMiIiIiImoTO1BERERERERtYgeKiIiIiIioTexAERERERERtYkdKCIiIiIiojax\nA0VERERERNSm/wfX7W+DOFX+hwAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x5f9fc50>"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pds.read_csv('alldata.csv')\n",
      "\n",
      "fig, ax = subplots()\n",
      "ax.grid()\n",
      "\n",
      "crystaldict = {\"30A\":\"*\",\"30B\":\"^\"}  \n",
      "\n",
      "df = df[df.length == 30]\n",
      "\n",
      "df = df[df.specialkey == 'normal']\n",
      "\n",
      "for config, grp in df.groupby('configuration'):\n",
      "        \n",
      "    for key, grp in grp.groupby('SampleB'):\n",
      "        ax.errorbar(grp.DOI,grp.location,yerr=grp.locationerr,fmt='.',marker=crystaldict[key],color=wrapdict[config],ecolor=errwrapdict[config],label=key+' '+config)\n",
      "    \n",
      "    vals = [unc.ufloat(a,b) for a,b in zip(grp.location, grp.locationerr)]\n",
      "    print(ptp(vals),\"ps\")\n",
      "        \n",
      "    linear = lambda xdata, m,c: m*xdata+c\n",
      "    \n",
      "    for reducelim in [30,25,20,15,12]:\n",
      "        fgrp = grp[grp.DOI < reducelim]\n",
      "        (m,c), err = opt.curve_fit(linear,array(fgrp['DOI']),array(fgrp['location']),sigma=fgrp['locationerr'])\n",
      "        merr,cerr = err.diagonal()\n",
      "        \n",
      "        #X = linspace(0,30)\n",
      "        #Y = linear(X,m,c)\n",
      "        #ax.plot(X,Y,'k--')\n",
      "        \n",
      "        factor = 3E-1\n",
      "        print(config,\"<\",reducelim,\"n\", unc.ufloat(m,merr)*factor)\n",
      "    \n",
      "    ax.set_xlabel(\"Depth of Interaction (mm)\")\n",
      "    ax.set_ylabel(\"Delay Peak Centroid (ps)\")\n",
      "    ax.set_xlim(-2,32)\n",
      "    \n",
      "    ax.set_ylim(100,400)\n",
      "\n",
      "    \n",
      "ax.legend(ncol=2)\n",
      "fig.tight_layout()\n",
      "\n",
      "if savefigures:\n",
      "    pc.savefigureadir('centroidposition',aloc,fig)\n",
      "#pc.savefigureadir('centroidposition','/home/mbrown/Desktop/figures-svg',fig,ext='svg')\n",
      "\n",
      "show()\n",
      "    \n",
      "    "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "227.9+/-2.5 ps\n",
        "unwrapped < 30 n 2.6+/-0.6\n",
        "unwrapped < 25 n 3.0+/-0.8\n",
        "unwrapped < 20 n 3.6+/-1.5\n",
        "unwrapped < 15 n 4.4+/-3.4\n",
        "unwrapped < 12 n 4.4+/-3.4\n",
        "223.3+/-2.5 ps\n",
        "wrapped < 30 n 2.4+/-0.5\n",
        "wrapped < 25 n 3.0+/-0.6\n",
        "wrapped < 20 n 3.4+/-1.2\n",
        "wrapped < 15 n 4.3+/-2.3\n",
        "wrapped < 12 n 4.3+/-2.3\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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YYOjQocjLy0NUVBScnZ0V/Q0MDNC5c2ccOXIEAJCcnIzr168r9WnVqhUsLCwU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\nYowxxhhjjLF6+H/bsMb2DF1vGwAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x5604510>"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pds.read_csv('alldata.csv')\n",
      "\n",
      "fig, ax = subplots()\n",
      "ax.grid()\n",
      "\n",
      "crystaldict = {\"30A\":\"*\",\"30B\":\"^\"}  \n",
      "\n",
      "df = df[df.length == 30]\n",
      "df = df[df.specialkey == 'normal']\n",
      "\n",
      "for config, grp in df.groupby('configuration'):\n",
      "        \n",
      "    for key, grp in grp.groupby('SampleB'):\n",
      "        ax.errorbar(grp.DOI,grp.ERright,yerr=grp.ERrighterr,fmt='.',marker=crystaldict[key],color=wrapdict[config],ecolor=errwrapdict[config],label=key+' '+config)\n",
      "        \n",
      "    \n",
      "        \n",
      "    ax.set_xlabel(\"Depth of Interaction (mm)\")\n",
      "    ax.set_ylabel(\"Energy Resolution (%)\")\n",
      "    ax.set_xlim(-2,32)\n",
      "    \n",
      "ax.legend(ncol=2)\n",
      "\n",
      "DOI = linspace(2,30,1000)\n",
      "Y = lambda xdata, m, c,A : c+A/(xdata-m)**2\n",
      "\n",
      "fdf = df[df.configuration == 'unwrapped']\n",
      "param, err = opt.curve_fit(Y,fdf.DOI,fdf.ERright,sigma=fdf.ERrighterr)\n",
      "for p,e in zip(param,err.diagonal()):\n",
      "    val = unc.ufloat(p,e)\n",
      "    print(val)\n",
      "#ax.plot(DOI,Y(DOI,*param),'k--')\n",
      "\n",
      "fig.tight_layout()\n",
      "\n",
      "if savefigures:\n",
      "    pc.savefigureadir('energyresolution',aloc,fig)\n",
      "#pc.savefigureadir('energyresolution','/home/mbrown/Desktop/figures-svg',fig,ext='svg')\n",
      "show()\n",
      "    \n",
      "    "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "0.871+/-0.017\n",
        "15.38+/-0.12\n",
        "7+/-4\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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i22+/hYuLC+Lj47Flyxbk5eXB19cXAwYMgImJSVXFLKqpvyryssnywzmVJ86r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\nUURERERERPXAIoqIiIiIiKge/h/SkIjs013+TQAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x5cff6d0>"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pds.read_csv('alldata.csv')\n",
      "\n",
      "fig, ax = subplots()\n",
      "ax.grid()\n",
      "\n",
      "crystaldict = {\"30A\":\"*\",\"30B\":\"^\"}  \n",
      "\n",
      "df = df[df.length == 30]\n",
      "df = df[df.specialkey == 'normal']\n",
      "\n",
      "for config, grp in df.groupby('configuration'):\n",
      "    for key, grp in grp.groupby('SampleB'):\n",
      "        ax.errorbar(grp.DOI,grp.RPloc,yerr=grp.RPlocerr,fmt='.',marker=crystaldict[key],color=wrapdict[config],ecolor=errwrapdict[config],label=key+' '+config)\n",
      "        \n",
      "        \n",
      "    ax.set_xlabel(\"Depth of Interaction (mm)\")\n",
      "    ax.set_ylabel(\"Right Photopeak Centroid (Arb.)\")\n",
      "    ax.set_xlim(-2,32)\n",
      "    ax.set_ylim(0.3,0.65)\n",
      "    \n",
      "ax.legend(ncol=2)\n",
      "fig.tight_layout()\n",
      "\n",
      "if savefigures:\n",
      "    pc.savefigureadir('lightoutput',aloc,fig)\n",
      "#pc.savefigureadir('lightoutput','/home/mbrown/Desktop/figures-svg',fig,ext='svg')\n",
      "show()\n",
      "    \n",
      "    "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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A8RSFJZmZmYnrnnf//n2kpKRg9erVWLduHQRBwMSJE/Hdd9+J05qmpqaqLbPk\nPvUdj70wHNyWhoPbkjHGGCt9bJUhKzWISktLw4kTJ/Dmm2+WWci0adMAANu3b0f//v1VAholKysr\nAMUzqJSUnZ0Na2trtdvUqlULBQUFmDRpEuzs7AAA06dPx+uvv45Hjx7BxsYGVlZWSEhIUCmz5D5L\nGjVqFFq0aAGgeFpMuVwuXgwpB2XyMi/zMi/zsmEtayMqqvgFAD4+wCef4J8yil8Vpevy2ctH5ZhG\nuTx5DZIuDwA+uKqUtp9tKu4Fp+PalJ/y+0L5f60mvtF0C2v9+vUUHBxMaWlpGm91PX78mAIDA2nb\ntm0a8xERNWjQQNKfmKh4MJyPj4/a/EuWLCFBECghIUFMS0tLkzzhm8dEMX3CbWk4uC31i76e/1n1\ns3nzZsnYKk3jj6ZOnSoZ6zVjxoyXWFPGdOfJkyckl8slY6tK+148duwYyeVyMjExIUtLS1IoFJSV\nlfVyK6xGWd8LmtZr7M43btw4AMXPLXBzc0Pr1q1hYWGB2rVrIycnBxkZGbhy5Qri4+Px1VdfYfDg\nwWUGbQEBASpTIMbExGDKlClq83fv3h0AcOHCBfH5CfHx8ZDJZOK6wMBALF26FMnJyeI0kzExMWjf\nvr14x4kxxhhjrDKMGDECI0aM0Crv8uXLsXz5ch3XiLGXz8LCAnFxcVrl7dGjh9Z59YXwT5Sl0cOH\nD/H777/j/PnzOH/+PG7fvg1nZ2e4ublBoVDAzc0NjRo10mqH8fHx8PHxwbFjx+Dm5oZdu3Zh6tSp\nuHz5MurXr48vvvgCu3fvxunTp8W56f39/WFubo5vv/0WRkZGmDx5Mh4/foyIiAix3G7duqFLly5Y\nvHgx0tLS4Obmhs8//xxDhw6VvmFBqJa3ERljjOkWn/8ZY4yVVNb3gqb1WgVRlS06Ohrz5s1DYWEh\n6tSpg5UrV8LJyQkA8Nlnn2HXrl04f/68GETl5uZi6tSpiI2NRdOmTdG/f38MGzZMMt4pMzMTkyZN\nEvswhoSEYOzYsSr75i9Rxhh7NfH5nzHGWEl6F0RVJX39Eo2KiirX4GhWfXFbGg5uS/2ir+d/xhhj\nulGRIEqmq0oxxhhjjDHGmCHiO1GMMcZeCXz+Z4wxVhLfiWKMMcYYY4yxl0TjFOfayszMRN26dSuj\nKFYKHnthOLgtDQe3peEp+bzOqKh/n9Gpi4ft6qJ8xqo1XR4AfHCxl6xSuvN1794dJ06cqIz66Jy+\ndufgizUeHn12AAAgAElEQVTDwW1pOLgt9Ut5z/+CAOjy60LX5TNWrenyAOCDi2lJZ7Pz2dvbayxI\nufzo0SP8/fff5a13ldDXIIoxxljFlD+IIhAJOqyPbstnr5br16/jrbfews2bN+Hu7o7IyMiqrpJG\nJAgQdHQ9psuyWfU3ePBgxMbGIikpCXfv3kXz5s1LzauzMVEmJib45JNPMG/ePMycORPGxsbo1q0b\nZs2ahVmzZsHT0xNA8bOdGGOMMUNR/KU5Q2c/ulV2+YmJifjoo4/w2muvwcHBAS4uLggJCcH27dvV\n5s/KysKECRPg6uqKdu3aISgoCH/++ackz5IlS6BQKCCTyWBlZQWFQgFXV1dYWlqid+/eWLx4MR49\nelQp9WcV5+zsjLi4OLi7u0MQqndwTkSYAejk+NJF2Xx86Zft27fj008/1f2OSIOVK1eK/x80aBD9\n8ccfKnni4+PpP//5j6ZiqpUy3nK1FRkZWdVVYJWE29JwcFvql/Kc/3fuPETAdNq1K0Indans8jdu\n3EgymYz2799PhYWFlJ+fT6tXryZBECgqKkqSNycnh+RyOfXp04fy8vKoqKiI5syZQ1ZWVnTp0iWV\nsgVBoJCQEHE5Ly+Ptm3bRoIg0OjRoyul/qzy+Pj4kJ+fX1VXQ6NDO3fSdIAidu3Si7L5+NI/Gzdu\nJEEQKCEhQWO+sr4XNK3X+hvF1dWVioqKVNILCwupffv22hZT5TiIYlWN29JwcFvqF23P/0VFRdS5\n83QCiv9V991XEbooPyIigmbOnKmyH1tbW+rTp48kXXnxd+vWLUl6kyZN6K233lIp+/mLPCWFQkG1\na9em1NTUCtefVZ7qHkQVFRXR9M6dqQgo/rcSjy9dlc3Hl/55GUGU1lOcExGWLl2Kp0+fimn5+flY\ntmxZtb9tbAh48Lrh4LY0HNyWhik8/DDi4/sAEBAf74/du49U+/L9/f2xZMkSSVpGRgbS09Ph6Ogo\nSd+wYQMcHBzQsmVLSXrv3r0RHh6O9PR0rfaZl5cHAJDJSr+UOHTokNhlKTQ0VEwPDg6GjY2NZNsf\nfvhBknfp0qXw8fGBs7MzFi5cKKlXQEAAatWqhbp168LNzU1cd+jQIRgZGeHhw4cAgIcPH0Iul6Nm\nzZpQKBS4fv065HI5zM3N4efnhxMnTqB3796wtbWFTCZDdHQ0UlNT8d5778HFxQUuLi7o0aMHVqxY\nIeladfXqVSgUCrGc7du3w8vLC7a2tnB3d0d4eLiYd8uWLeL7mjdvHubMmQMPDw9YW1ujZ8+euHz5\nssrf7ddff0WvXr1gb28PR0dHBAcHIzExUSXfzp070bFjRzRr1gx+fn44cqRyP6u6cDg8HH3i4yEA\n8I+Px5Hdu6t92dX1+Pr666/RpEkTyGQytG/fHt999x2A4mv2xo0bY9GiRWLesWPHwsbGBs2bN0d4\neDgGDx6M5s2bQyaT4Y8//sDQoUPh5uYGmUyGkJAQsXzlMdixY0fMnDkTZ86ckdQhODgYdnZ2kMlk\nOHnyJAICAuDi4gI7OztMnToV+fn54t9LoVDAysoK9vb2iIyMhLe3N+zt7dG+fXusWbNG5f1lZmZi\n8uTJaNWqFezt7eHp6Sk5tpQSExMRGBiIBg0aoGvXrvjwww9RVFSk1d+5QrSN6I4fP061atUiY2Nj\nksvl5OrqSsbGxlS7dm06ceKEtsVUuXK8ZcYYYwZEm/N/ybtExdN7Ve7dKF2Xr9xHXFwcjR07ltq2\nbUt//vmnZL2pqSn17NlTZbtPPvmEBEGg3377TZL+/C/l9+/fp2XLlpGRkRHNmDFDqzoJgkChoaEq\n+5PJZGrzOjo60ldffUUFBQUUHx9Ptra2NH/+fEm+t956i2xtbSVpY8eOJUEQaM2aNWLaX3/9RS4u\nLpJ8vr6+1LhxY5o4cSI9ePCA8vLyyNHRkaKjoyk2NpYaNWok/oKdmZlJ7777Lnl7e6vU1dfXl8zN\nzWnw4MGUkJBAqampNHXqVBIEgXbu3KnyviwsLCgsLIyysrLo6tWr1KtXLzI3N6e7d++K+Y4dO0Y1\natSg6dOnU3p6OiUkJNCgQYPI0tKSHj16JOb74YcfSBAEmjFjBqWnp9OdO3doxIgRZGNjU23vRJW8\nU0RApd4x0mXZz++nOh1fhw4dIkEQ6MiRI2LaqVOnSBAE6tSpkyRv//796ddffxWXv/vuOxIEgfz9\n/cVr+Y8++kisT+vWrWn9+vVi/hMnTlCNGjXo9u3bknKV5XTo0IEOHTpERETbtm2jhg0bUv/+/SV5\nR40aRbVr16a+ffvS5cuXKScnh8LCwkgmk9GSJUvEfHl5edSmTRtyc3Oj33//nQoKCmj9+vVkbGxM\n69atE/Olp6dTo0aNqFOnTnTu3DnKz8+ntWvXkoODA8lksurRnY+IKCsri/bs2UNjx46lcePG0d69\neykrK6s8RVQ5fQ2iuNuQ4eC2NBzclvpFm/P/zp2HyNQ04p8Ap/hlanqo0sYu6bp8IiIHBwcSBIF6\n9epFmZmZknWpqakkCAIFBwerbLdixQoSBIH27t0rSRcEgSwtLUkul1OHDh3IxMSE6tSpoxIkaKIu\niJo3bx4JgqA2b6tWrSRp48ePVwkMtm/fToIg0NmzZ4moeHiBk5MTOTs7Sy5i161bR7Nnz5Zs6+Pj\nQzKZjJKSksS0Bw8eUG5uLuXk5EjSiYiSk5PVXpApyynZdauoqIjq1q1LLVu2VHlfzZo1k6SdO3dO\n5SK6TZs2ZGZmRvn5+WLalStXSBAEmjZtmrgPOzs7ql+/vqS8GzdukCAI1TaIOrRzJ0WYmlLJA+CQ\nqWmljF/SZdklVbfjKz8/nywsLGjSpEli2owZM6hTp04kk8no3r17RFT8Y4CDg4NkW2WXt88++0xM\ny8nJoYcPHxIR0dWrV1X2179/f/r000/VljNnzhxJ+jvvvEOCIFB0dLSYNnLkSBIEgY4fPy7J6+Li\nQvXq1RPjioULF5IgCPT9999L8nXq1IlsbGwoLy+PiIjmzp1LgiDQnj17JPm6du1afbrzAYCZmRmC\ngoKwYcMGrF+/HoGBgTAzM8OtW7cq+wYZY4wx9lIREZYsOYzc3N6S9NxcfyxeHFHh2b50Xb7SzZs3\nce3aNXh5ecHOzg4bNmyocJmBgYGIi4vDH3/8gbS0NGzduhXz589Hp06d8Pjx40qotVS3bt0ky9bW\n1oiNjZWk9e3bFzVr1sSePXsAAKdOnUKnTp3w5ptvIjo6GhkZGQCAvXv3YsCAASr7sLe3h62trbjc\nuHFj1K5dG6ampkhKSsLHH38MDw8PKBQK9OrVC0SE3Wq6h9na2kq6bgmCgNdeew137tzBgwcPJHmf\n7wLs6uoKExMTnD59GkBx98Nr166hZ8+eqFmzppivTZs2aNCggTht+b1795CYmIhOnTpJynN0dETT\npk1V6lgdEBEOL1mC3rm5knT/3FxELF5coc+/Lst+XnU7vmrWrIm+ffvip59+EtMiIiKwdu1aEJF4\nfBw8eBB9+/ZVW0bJz6WpqSlsbGwAAHXr1sXatWsRFBSEDh06QKFQICYmRm2XuufLAQAPDw8Axcdm\nSSYmJujataskrUuXLsjIyEB8fDwA4MSJEzAyMlKps4+PDx4/foyrV6+KZQuCgC5dumisiy6UK4gq\nzbhx4yqjGKYBj70wHNyWhoPb0rCUHKskVTljl3RdfknOzs6YO3cunJycMHv2bBQUFAAALC0tUbt2\nbbXjMtLS0gBAElioY2pqisDAQMycORO//fYbNm7cWGn1VmrWrJlk2djYWBxboVS3bl10795dvEjc\nvXs33njjDQwYMADPnj3Dvn37kJGRgevXr6Njx44q+yjt2THx8fHw9PSEqakpDhw4gLi4OMTFxQEo\nHqPxPAcHB5W0tm3bAoBKEPX8+BljY2M4OTnh/v37AICkpCQAQGxsLBQKheRVq1Yt8W+gLLdNmzZa\n1ac6KDleqaTKGL+ky7LVqW7H14ABA/Dw4UOcOXMGFy5cgIODA9zc3NC2bVsx8N+9e7faHxOA0o+F\ngIAA7Ny5E59++ikuXryIuLg4BAQEiD9QPO/5z7fy8/n8cWBjY4NatWpJ0pTHTMljQRAE9OjRQ3Ic\n7Nu3DzY2NmJw+eDBA9StW1cM/JScnJzU1rEyaQyiBg8ejI8++qg4o0xW6is6OlrnFWWMMcZ0pbS7\nREoVvVuk6/Lz8vLUDqQOCgpCSkoKjh49Kqa1atUKd+/eVcmbkJCAGjVqqAyIL03v3sXvRd3dmefV\nrFkTz549k6SpmyihvAYMGIDr16/jypUrOHz4MPr06YOOHTvC1tYW4eHhOHjwIPr161euMpcsWYIG\nDRrggw8+gKWlZZn5b968qZJ26dIlAFC5K/R83oKCAty4cUPMp7yY9fPzE4M35SshIQHXrl0DADRp\n0gQAcOXKFa3qU9VKu1OkVJE7RrosW6m6H199+/aFiYkJ9uzZgz179ojB0oABA3Dy5Encv38fZ8+e\nLdcPf5GRkTh//jymT5+ODh06iOma/o43btyQLJd2HDx8+FCcOKO0vM2bN4cgCDh16pTkOLh27Roe\nPHgAf39/AMXHQkZGhjiZTGl10QWNQZSXlxfc3NwAAB06dEBkZCROnDih8ir5x2W6ERUVVdVVYJWE\n29JwcFsajtLvEilV7G6Rrsvv06ePZCYuJWU3mgYNGohp48aNw61bt3Dnzh0xjYhw+PBhDBw4EPXr\n19dqnydPngSgeoGkjoeHB5KTk1W2r+jsvgEBAZDJZPj444/RqlUrmJqaQhAEBAUF4ciRI9iyZUup\nv76XJiMjAzVq1JDU7ezZs6Xmv3fvnmRYQ1FREc6dOwcHBwc0btxYkvf5H53j4uKQn58PLy8vAMW/\n0Ldt2xbHjh1TuVj97rvvsGzZMgDFdzNatGiBX3/9VZLnxo0bKr/6Vwel3SlSqsgdI12WrVTdjy9z\nc3Pxruy+ffsQEBAAoDiIKiwsxNSpU+Hr66txpr/nPXnyBAAk3UqB4pkjSztun/9OVM7kp/x8Kz19\n+lTswloyb7169dC+fXsAQM+ePVFQUIATJ05I8iUmJmLo0KHI/Sdo9vb2luyrZF10PXt4DU0rp0yZ\nIv5/1qxZ8PHxUZtv5syZlVsrxhhj7CU6cCAK7u4mEIR/x91ERwMlv/aICD//nI+BA/2rXfmCIGDt\n2rXo3r07XnvtNfz999/46aefcOTIEXTv3l3SnW3UqFHYsGEDJk+ejL1798LY2BihoaF4+vQp5syZ\no7b8khf0RITff/8dK1asQI0aNTBt2rQy69ejRw988803uHr1KhwcHPDNN9+olFva/jRp1KgRunTp\ngr1790q6PQ0YMACrVq3CuXPnxIssbfcxbtw47Nu3D2vWrMH48eORlpYmXkCr26Zhw4YICwtDaGgo\nzMzMEBoaitzcXCxcuFAlr0wmw8KFCzFlyhQkJSVh9uzZMDc3x9y5c8U8q1evRu/evTF79mxMnToV\njRo1QmxsLD744APxQlEQBCxYsABDhgzBzJkz8fHHHyMzMxPz5s2Dubl5pY4BqgxRBw7AxN0dsSUv\nap87AIgI+T//DP+BA6tN2UrV/fgCij/z48ePh4+PD6ysrAAAbm5uaNasmXiHqjTqPi8BAQGwsbHB\nl19+CblcDmtra2zZsgXXrl2DnZ2d2nJOnz6NI0eOoGfPntixYwd2796N/v37q4xxNDc3x/r169Gk\nSRM0b94cX375Jf78808sXrwYZmZmAICpU6di06ZN+OKLL2BlZYWuXbvi0aNHGD9+PHr06AFTU1MA\nwPTp0/HVV19h4cKFsLW1RYcOHbBp0ybcvHkTVDyBnlZ/vxeicUqKUjx+/JgeP378IptWuRd8y4wx\nxvRcec//uv66qMzyY2JiaNy4cdS6dWuys7Ojpk2bUocOHejzzz+n7OxslfxZWVk0fvx46tChA7m4\nuFBQUJDKVM2LFy8muVxOMpmMrKysSC6Xk1wuJzs7O3JwcKBBgwZRTEyMVvVLTU2lsLAwcnZ2Ji8v\nL1q2bJk45bNcLqcff/yRDh48KO7PxsaG3njjDSIiGjhwINnY2JBMJiO5XE6HDx+WlL1kyRIyNjaW\nPJS0oKCArK2tVR5i+tdff5FcLiczMzMyNzcnuVwumQ6dqHjmu2+//ZZ69+5NdnZ25O7uTuvXrydB\nECT1Ivr3wbaHDh0iHx8fsrW1pY4dO1J4eLjK30A5Q+HixYvJy8uLrKysqEePHnT58mWVvHFxcdS3\nb1+ytbUlDw8PGj9+PEVFRank27FjB7m5uVHTpk3Jw8ODduzYQb6+vmRmZkYKhUKlTasVXR5glVx2\ndT++iIqvzY2MjGj58uWS9GnTplGdOnXo77//lqRPmDCBmjdvTjKZjNq2bavy0GCi4tkjJ0yYQE2a\nNCE3NzcaN24c9evXj2rWrEkKhYIuXbpERP/Oznf+/HkKDg4mFxcXatasGU2dOlUyyyRR8ex8LVq0\noN9//5169OhB9vb21K5dO5XjkIgoOzubpk2bRq1atSIXFxcKCAigFStWUGFhoSRfYmIiBQQEkJWV\nFXXs2JEmT55M69atI0EQqG3btpKp059X1veCpvXCPxm0CbawZs0a7NixQ7wF5+XlhUGDBmHy5Mk6\nC/IqmyAI1e4XGsYYY7pX3vO/IBTPk6y7+ui2fKZ7yi5Sz3c5Ukcmk+GTTz6R3HV6penyAOCD66X6\n7rvvMHr0aNy9e7fUSSqURo0ahejoaEl3x6pU1veCpvUau/OVtGDBAmzevBmBgYGYOnUqgOI+witX\nrkRGRgY+/PBDrSscFRWF0NBQFBQUoE6dOli5ciWcnZ1Lzd+6dWuVfsUDBgwQ6wEA9erVg0KhkOSZ\nNGkSBg0apHW9qrOoqCieCcxAcFsaDm5LxhhjrHx0PVbpZdE6iPr+++8RHh4OFxcXMW3gwIEYNWoU\nBg4cqHUQdfHiRQwYMADHjx+Hm5sbdu7cCR8fH1y+fLnUWXAaN24sPhuhNAqFosw8jDHGmCZRUcUv\noHhIxSefFP/f17f4Vd3LZy9fee5uvvI9YXR5APDBVeW0/XwbynGgdXc+FxcXXLx4EUZGRpL0Z8+e\nwdXVFZcvX9Zqh2PGjMHjx4/x888/i2ktW7bEO++8U+oEFX5+fmUGSNrkAbg7H2OMvar4/M8qy9Wr\nVzF06FBxOnEnJyds375dba+aLVu2YOnSpbh48SIaNmwIZ2dnfjQMMxjBwcH49ddfce/ePbRu3Rqj\nR49Wez2fkZEBX19fJCYmIicnB23atMGyZcuqvDdHRbrzaR1E9erVC97e3pg5c6Y4I0Zubi6WLVuG\n6OhoHDmi3bSsDRo0wHvvvSc+fwoARowYgcTExFJPKhxEMcYYqyg+/zPGGCupIkGU1hPGr1ixAqtW\nrULdunXh6uqKDh06wMLCAitXrsTy5cu1KiM/Px+pqamS+fQBwMrKCvfu3St1u5ycHIwZMwbdunXD\n6NGjcezYMZWHnj169AiDBw+Gl5cX3n33XcTGxpZSmn7i59EYDm5Lw8FtyRhjjL2atA6i2rRpg4cP\nH+Lw4cPw9PREt27dcPjwYdy/fx9t2rTRqozU1FQAEOeAVzIzMxPXqdOqVStMnjwZJ0+exNixY/H+\n++9j+vTpkjyOjo6YP38+Tp06hX79+mHIkCFYunSptm+PMcYYY4wxxrSi9cQSoaGhMDExwQcffIAe\nPXq80M6UD//Kzs6WpGdnZ8Pa2rrU7bZs2SL+v2vXrpg0aRI++OADLF68GCYmJgCA/fv3i3n69OmD\noUOH4uuvv8aMGTNUyhs1ahRatGgBoHhWP7lcLvbJVP6yzMu8rMtlpepSH15+sWVlWnWpDy9rXmaM\nMcbUKXl9FhUVhbt375a5jdZjomrVqoX169fj7bffftH6ASh+svd7770nmc1v+PDhuHfvnsoFZmku\nX76M9u3bi09FVufAgQP4z3/+g+vXr8PR0VFM5z7xjDH2auLzP2OMsZJeypgoX1/fUgOoq1evalsM\nAgICxIf1KsXExCAgIEBt/vj4eCxbtkySdu7cOZiamsLDwwMAcPz4cfzwww8qeVq0aCEJoPSZtgEm\nq/64LQ0HtyVjjDH2atI6iHrjjTewdu1aFBQUqKybPHmy1jucNm0aYmJicP78eQDArl27kJeXh5CQ\nEADAF198gS5duogTR6SmpiIsLAxJSUkAgKSkJGzcuBHBwcGoU6eOmBYWFoaUlBQAwLVr17Bjxw6M\nHDlS63oxxhgzbPXr14cgCPziF7/4xS9+QRAE1K9f/4W/U7Tuzufn54cLFy4gLy8PcrkctWrVEtf9\n8ccfSEtL03qn0dHRmDdvHgoLC1GnTh2sXLkSTk5OAIDPPvsMu3btwvnz52FkZIT09HQsWbIEP/30\nE0xNTWFlZYWBAwciODgYFhYWAIB79+5h8eLFOHLkCCwsLNC4cWMMGjQIQUFBqF27tvQNC9ydgzHG\nGGOMMaaZprhB6yDK3t4eo0aNUlvQpk2bcOfOnYrV8iXhIIoxxhhjjDFWFk1xg9az8w0ZMgTz5s1T\nu87Y2PjFasa0VnIGMKbfuC0NB7el4eC2NBzcloaD29JwGGJbah1EqZv44enTp1i1apU4nokxxhhj\njDHGDF25xkRFRkZK0oqKirBp0ybs378fu3fv1kkFKxt352OMMcYYY4yVRVPcoPXsfGo3lskwcuRI\nJCcnV6QYxhhjjDHGGNMbGoOo5cuXw97eHvb29jhz5oz4f+WrRYsWMDU1RevWrV9WfV9Z/Dwaw8Ft\naTi4LQ0Ht6Xh4LY0HNyWhsMQ21LjmCgfHx9xGvFFixbhgw8+kNzSMjIygkKhQLt27XRbS8YYY4wx\nxhirJrQeE/X9999j+PDhuq6PzvGYKMYYY4wxxlhZKmVMlKYAasaMGeWvFWOMMcYYY4zpIa2DqIKC\nApw8eRLz58/H6NGjERISIv67fft2XdaRwTD7kr6quC0NB7el4eC2NBzcloaD29JwGGJbah1ELVq0\nCEFBQTh8+DAKCwtBRJIXY4wxxhhjjL0KtB4T1bZtW0RHR6NBgwYq6z788EMsWLCg0iunCzwmijHG\nGGOMMVaWShkT5ezsDFNTU7Xr3n777RerGWOvIA7iGWOMMcb0m9ZB1Pjx4/HOO+9g+/btuH79OhIT\nE5GYmIiEhASMGTNGl3VkMMy+pK8iIkJwv34cSBkIPi4NB7el4eC2NBzclobDENtS43OiSurfvz8A\nYPPmzSrrBEGovBoxZsAOh4cDUVE4sns3/AcOrOrqsAriYJgxxhh7NWk9JqpLly748ccf1V40DBky\nBLGxsZVeOV3gMVGsqhARZnh4YOnZs5jRuTOWxsbyDxB6jIgwY+xYLP36a25HxhhjzABpihu0vhP1\nxRdfwM7OTu261atXv1jNGHuFHA4PR5/4eAgA/OPj+W6UnjscHg7s3Ikjr7/O7cgYY4y9YrQeE+Xt\n7Q0AKCwsxO+//w4ASE9PBwC4ubnpoGqsJEPsS/oqISIcXrIEvXNzEQXAPzcXEYsX811RPaVsz4Cs\nLG5HAxEZGVnVVWCVhL8vDQe3peEwxHOs1kFUbm4u3n77bTRs2BDBwcEAiqc2HzNmDFJTU3VWQcYM\nweFPP0Wf8+eh7PQlAPA/fx5HPvusKqvFXpC6u4pMfxERVnMwzBhjOmGo51itg6jt27eL/9ra2gIA\n1q5dCw8PDyxZskQ3tWMiX1/fqq4Ce0FEhMM//ojeBQUAAN9/0v0LChCxfbvBnVQMXcm7ir7gu4qG\n4HB4OJqdOsXBsIHg70vDwW1pGAz1HKt1ELVr1y6sX78evXr1gpGREYDiwVZjx47F+fPny7XTqKgo\n+Pn5wcvLC/7+/rh+/brG/K1bt4afn5/ktWLFCkmezMxMDBs2DJ6envD09MSGDRvKVSfGdOVweDj6\nJCTg+akHBAD+CQkGd1IxdIdHj0afc+ekdxXPncOR0aOrslrsBSmD4qXcNZMxxiqdIZ9jtQ6ikpKS\nIJOpZr9//z5u3Lih9Q4vXryIAQMG4H//+x9OnTqFsWPHwsfHB2lpaaVu07hxY0RGRkpeU6dOleR5\n/fXX0bhxY5w+fRr79+9HWFgYtm7dqnW9qjvuF6yfSt61UIoqsZ7vYugXIsLhq1fRu6gIwL9t6V9U\nhIirV7kd9ZCya2Y0uGumoeDvS8PBban/DPkcq3UQ5e7ujsmTJ+PixYsAgOTkZOzbtw/jxo1D9+7d\ntd7h8uXL4enpKU5GERwcjNq1a2Pjxo3lrPq/Tp48iZiYGHzwwQcAAEtLS4wZMwaLFi164TIZqwwl\nx86ow2Nq9Etp7cntqJ+e/5GDf9RgjLHKY+jnWK2fE5WRkYGxY8fi4MGDyMvLAxHB1NQU/fv3x/r1\n61G3bl2tdtigQQO89957+Oijj8S0ESNGIDExEdHR0Wq38fPz0zirx/vvv4+ffvpJ0i3w2LFj6N27\nN27fvo0WLVqI6fycKPYyfRASApPbtzU+R4iIkN+yJRZW4IcEpnsln/OlrjUJ4Od/6ZmIkBAImzfD\n/587iwAQIZNBePtt+PPxyBhjFRIRGgph/nz4/zMmHAAijI0hfPwx/OfOrcKaaa9SnhNlYWGBnTt3\nIicnBwcOHIAgCOjXrx9MTU21rkh+fj5SU1PRoEEDSbqVlRViYmJK3S4nJwdjxozB9evX4eTkhKFD\nh6J79+5i98J79+6plGltbS2uKxlEMfYycWBkOMpzV5GfG1X9KbtmLi0RQAHFXTNnXL2K3kQcDDNW\nxYiPQ72lnFRraYkACiieVGvG9u3oPWeO3ret1kGUUp06dTBo0KAX2plyKnQzMzNJupmZmcZp0lu1\naoXJkyejY8eOiImJwTvvvINu3bqJk0ukpqaqLbPkPvVdZGQk/Pz8qroarBJERUXxjEN6KOrAAZi4\nuyO2xEn/7pMnaFGvnrhMRMj/+WcOovTA80FxFIpnzuRgWP/xOdYwEBGC+/XDzn9+uGf65flJtaJQ\n4jQMCZQAACAASURBVBz7z6Ra+n6O1RhE3bp1C7NmzYIgCJg5cyY8PT0l60eNGoUVK1Zo3ZXPysoK\nAJCdnS1Jz87OFu8cqbNlyxbx/127dsWkSZPwwQcfYMmSJahZsyasrKyQkJCgUmbJfT5fb+XdqXr1\n6kEul4snXOUgxuq0rJxf39fXV+zyWJ3qx8vlW75w4UK1qg8va7e8cONGlfVffvml2vOHUnWqPy//\nu+zj41P8sOR/Hn5dvLbERCG5uZixeDFqWlpCEIQqry8vl29ZqbrUh5dfbHnxp58i+fhx8WK7quvD\ny9ovExG+njsX75SYVOvCP//6ovgcGzxnDmpaWoo3CKpL/ZX/v3v3LspEGoSFhZG5uTl9/PHHlJmZ\nqbJ+/Pjx1Lx5c7p27ZqmYiQaNGhAn3/+uSRt2LBh5OPjo3UZly5dIkEQ6OjRo0RENGvWLHJycpLk\nOXr0KAmCQHfu3JGkl/GWq6VDO3fSdHNziti1q6qrwhhjeu/Qzp0UYWpKBJT6OmRqyudcxqpIUVER\nTe/cmYqA4n+Liqq6SqwcDOkcqylu0Hgn6uDBgwgPD0evXr3Url+3bh1+/PFHbN26FZ9++mnZERuA\ngIAAnD59WpIWExODKVOmqM0fHx+PY8eO4b333hPTzp07B1NTU3h4eAAAAgMDsXTpUiQnJ4tjo2Ji\nYtC+fXu9Hw9FJebXn7F4MXq/8Qbf1maMsQpQ1zXzecRdMxmrMiW723L3Wv3zypxjNUVfTk5O9OzZ\nM40R2tOnT6lnz55aR3QXL16k+vXr0++//05ERDt37qTGjRtTWloaEREtWrSIOnfuTIWFhUREFBkZ\nSZaWlpSYmEhERImJieTt7U2jRo2SlOvl5UWzZs0iIqLU1FSys7OjrVu3quy/jLdc7Sij+Ug9itqZ\nZpGRkVVdBVZJuC0NB7el4Thx4kRVV4FVQMm7UJEA340yEPp6jtUUN2i8E9W0aVMYGRlpDMKMjY3x\n9OlTrYO29u3bY8+ePZgxYwYKCwtRp04dREdHo379+gCKZ/D7+++/xekEXV1dMXHiRPTt2xempqaw\nsrLCiBEjEBwcLCn3wIEDmDRpkjhu6+OPP8bQoUO1rld1RMq7ULm5xQ8p+6efPt+NYowxxlRRiTHE\n/D2pnw6PHo0+586JExIIAPzPncOR0aP50QOsWtH4nCh/f39s3bpV46QPKSkpGDx4MI4dO6aTClY2\nfXpOlCHMr88YY4y9LBG7dhVfhG/cqN/dhF5RVMrz+Pg5fKyqaIobZJo2HDZsGAIDA3Hv3j216+/f\nv4+goCCEhIRUvJZMgv6ZX7+3mvn1I7Zv15tAkDHGGHsZqMQY4ojFi/l7Ug+V9jy+kmOjGKsuNAZR\nb7/9NhwdHWFvbw9/f39MmjQJH3/8MSZNmoTevXujRYsWcHFxwbBhw15WfV8Z6ubXB6Tz6zP9VHIa\nTabfuC0NB7el/lNegEeDL7j1kTII7l1iWuyoEuv9c3M5ONZjhniO1RhEAcCmTZuwbds2pKSkYNOm\nTfj888/x/fffIzMzE3v37sW6deteRj1fKepOJCXxiYQxxhj71/Pfm/w9qX9KuwulxHejWHWjcUzU\n84qKipCSkoIGDRrobZ9UfRgTFbFrF4SRI+FfShAFABGmphA2b+Y+34wxxl55ESEhxd+JRUX/pslk\nEN5+mycj0BMfhITA5PZtjdeXRIT8li2xkNuUvSSa4oZyBVGGQB+CKD6RMMYYY9rhyQgYY7rCQVQJ\n+hBEqRMVFQVfX9+qrgarBNyWhoPb0nBwW+qv53tvRAHwVa7jXht6jY9Lw6GvbfnCs/MxxhhjjFVX\nPIaYMVZV+E4UY4wxxvQSjyFmjOmSprihhraFnD59Gp6enmrXzZ49G/Pnz3+x2jHGGGOMvYCoAwdg\n4u6O2LLGEP/8MwdRjLFKpfWdKD8/P0RGRqqkX7x4Ef369UNSUlKlV04X9PVOlL72JWWquC0NB7el\n4eC2NBzcloaD29Jw6GtbVsqYqNOnT+PHH38Ul/Pz8zF79my4u7sjOTm54rVkjDHGGGOMMT2g9Z0o\nHx8fNGvWDL169YKDgwPGjh2LrKwsrFq1Cjt27MC2bdt0XddKoa93ohhjjDHGGGMvT6VNcV5YWIix\nY8diy5YtGDlyJJYuXQoLCws8ePAATZo0qbQK6xIHUYwxxhhjjLGyVNoU50ZGRti4cSPGjRuHjh07\nwsLCAgAwfPjwiteSaRQVFVXVVWCVhNvScHBbGg5uS8PBbWk4uC0NhyG2pcbZ+WQyzTHWlClTAICf\nBM4YY4wxxhh7ZWjszieXy7F8+fIyu7+99957iIuLq/TK6QJ352OMMcYYY4yV5YWfE/XRRx/Bx8en\nzB3wM6IYY4wxxhhjrwqN/fUGDRqkVSHHjh2rlMqw0hliX9JXFbel4eC2NBzcloaD29JwcFsaDkNs\nS413op6XkpKC3bt34+zZsygqKhJvcUVERGDp0qW6qiNjjDHGGGOMVRtaT3F+6NAhDBo0CD179sSZ\nM2fQp08fZGZm4vDhw//f3t3H1Xj/fwB/ndwkNbrBGFa5yU1MqdENKvfLZDbM3RDmO9Nys83IzTBl\nYsjN9h0N+WK+yhe5K35UM8mYiDATWuVuutGiks7n94d1dHQ6nezkdK7zej4e57Guz7lu3ue8dznn\nfa7P53PBxcWlUlejYmNjsXDhQhQVFcHU1BRr1qyBnZ1dhds9fPgQ9vb2sLW1RUxMjNJz5ubmcHR0\nVGqbPHlymatpHBNFREREREQVeeExUaVt2bIFFy5cgI2NDby8vLBp0yYAwK1bt/Dxxx9rHExSUhIG\nDx6Mo0ePonPnzggPD4eHhweSk5NhaWmpdtv58+cjNzdX5WyAjo6OZQorIiIiIiIibdP4PlGpqamw\nsbEBABQVFaG4uBgA8Nprr+HWrVsaHzAkJATu7u7o3LkzAGDo0KEwMTFRFGXlSUxMxJkzZ+Dj42OQ\nV5Kk2JdUldCVK3UdQpUzlFwaAuZSOphL6WAupYO5lA4p5lLjIio3NxfXrl0DADg7O2P16tXIzc3F\ntm3bUKNGDY0PGBkZCTc3N6U2d3d3REZGlruNXC6Hn58fvv32W42PQ/onPT0dqxcuREZGhq5DISIi\nInopDOEHZCnSuIgaNmwYevXqhbS0NLz33nuYN28ezM3NMWbMGIwbN06jfRQWFiIzMxMNGzZUarey\nskJ6enq5261duxY9evSAvb19uevcuXMHw4cPR7du3fDJJ5/g5MmTGsWkLzw9PXUdQpXb/e23CH3w\nALslXiwbQi4NBXMpHcyldDCX0mEIuTSUH5ClmEuNx0TNnz8f8+fPBwA0b94caWlp2LVrF3r16gVb\nW1uN9pGZmQkAMDMzU2o3MzNTPPe89PR0/PDDDzh16pSiTdWYqFatWiEwMBAtW7ZEVFQURowYAX9/\nf8yYMUOj2OjlW7doEa4dPIj6deo8bcjIQBcAB3fuxIITJwAADwoK0MrbG1P+/n+PiIiISCpK/4Ds\nx/uu6pVKTXFemoWFBSZOnFipbaysrAAAeXl5Su15eXlo0KCBym38/f2xZMkS1Cn5og2oHBO1b98+\nxd/9+/fHyJEjERoaqrKIGjdunGJ8l7m5ORwcHBQVckmfzeq2XNJWXeLRxvIof3+M27YNE69exdt/\nv8ZYAJ7XrsHz2jVkAxhnZ4def4+f03W82lo+d+4cpk2bVm3i4fKLL69atUov/v3gcsXLJX9Xl3i4\nzM9LLkvz8zL5p59w7eBBZBcUAABsHj5EFwDfbt6McQcOwMbcHA8KCiBv1w6Dx47VebzaWtaXz8uS\nv2/evImKaDzFOQAcO3YMe/fuRVJSEmJiYhAUFITu3buje/fumu4CjRo1wvTp0zF79mxF2+jRo5Ge\nnq70AgDgr7/+goODA15//XVF25UrV1BQUAAHBwe4uroiKChI5XEOHDiAgQMH4urVq2jVqpWiXV+n\nOI+NjVUkWkpycnIw5403EJiWBvNS7dkA5jRvjqCkJJibm5e3uV6Sai4NEXMpHcyldDCX0iHFXObk\n5GBOnz4IPHMGqr7dZAOY4+yMoCNHJPX9R19zqa5u0LiI+vnnn/Huu++ib9++uHTpEs6ePYtz585h\n1qxZGD58uMbjoiZOnIg7d+5g//79irYWLVrAz89Po653vr6+SE1NxbFjxxRtR48exd27dzFy5EhF\n24IFC7BlyxZcv35daXt9LaKkLCcnB4u7dsXyq1cVbZ/Z2WHuqVOS+geEiIiIyBB/QNZX6uoGI013\nUjIuaevWrahfvz4AwMHBAbt27cKePXs0Dmbq1KmIj4/H2bNnAQAREREoKCiAr68vACA4OBguLi6Q\ny+UqtxdClHkxaWlpWLx4Me7fvw/g6dWqnTt3YuzYsRrHRbqTl5cH69xcJNesiWmtW+NSzZqwzs3F\nw4cPdR0a/QOcbYio+uF5SaR75ubmCExKwmI7O6X2QDs7FlB6ROMi6tKlSyonkDA2Nsbvv/+u8QE7\nduyI3bt3Y8aMGejevTtCQ0MRFxcHCwsLAE9n8MvPzy9TKCUmJsLV1RUHDx5U/F0yDqp3797o06cP\nunfvDhcXF8yePRvz5s3DzJkzNY6runu+q6OU7Fq7FqnFxTgybRqWXriAw9OmIbW4GLvWrdN1aFVC\nyrksYSizDRlCLg2FIeSS5yXpGynn0tB+QJZiLjUuomrUqIEjR46Uaf/uu+9gaWlZqYN6eHggNjYW\nx48fR1RUFFq3bq14bt68eTh//nyZe085Ojri5MmTuHfvHnJycnDy5EkMHDgQANCsWTOEhITg8uXL\nSEhIwO7duzFixAiYmJhUKi7SDZN69TD+yBFMW7YMxsbGmLZsGcYfOQKTevV0HRq9IEOZrt5Q8OqF\nNPC8lBael/rN0H5AliKNx0TFx8ejZ8+eaN++Pe7evQsHBwckJCTg0aNHiImJgYuLS1XHqhUcE0Wk\nfaqmq19w7RoWtGoFNG0KgNPV66v09HR4d+iAQ8nJaPp3Lkk/8LyULp6X+m99UBC6DRiA9p06Kdou\nnT+PE4cO4cNZs3QYGZWmlYklACArKwt79uxBREQEjIyMMHToUAwaNEiv+m6yiCLSPkOdbcgQrAkI\nQNclS/BLQADvYaJneF5KF89LopdDa0WUFOhrEaWvU0NSWVLNZU5ODua4uCDwt9/KzjbUpg2CEhIk\n90VNirk01KsXUswlYJizgEkxlzwvSd/pay7V1Q2VvtluUlISDh48CAAYMGAAOnbs+M+iIyJJMDc3\nR+Dy5Vg8diyWZ2Up2gMtLRG0fLnkvqhJ1Sh/f8zZtw/T4uKUvnQvuHYN+Psm2HOcnTHK319XIVIl\nKGYBe+42EoF2dgjibST0Bs9LoupH4ytRFy5cwNtvv420tDTFFOcPHjzA66+/jv3796NDhw5VGqi2\n6OuVKCJ9kJ6ejt1vvome9+9jg60tJt24gaMNGuDdM2fYb1+PGOJVRSnjeSkNPC+JXj6t3Cdq0qRJ\nGDRoEK5cuYKsrCxkZWXh8uXL8PHxwaRJk7QWLBHpL842JA3m5uYITEhQfQ8TflHTOzwvpYHnJVH1\nonERlZOTg2XLlsHOzg4ymQwymQxt2rRBcHAwsrOzqzJGgjTn1zdUUs6loU1XL+Vc8h4m0sHzUjp4\nXpK+kmIuNS6imjdvjtu3b5dpv3v3Llq2bKlY3rVrl3YiIyK9MykgQGm6VgBo36kTp2vVQ7x6IR08\nL6WD5yVR9aHxmKjQ0FB89913GDhwoOKeUCdPnkRMTAw+/vhjvPbaaxBCYPr06Th79myVBv1PcEwU\nEVHFeA8TouqH5yXRy6WVKc6NjDS7aCWTyVBcXKx5dC8ZiygiIiIiIqqIViaW6NGjB+RyeYWPHj16\naC1wekaKfUkNFXMpHcyldDCX0sFcSgdzKR1SzKXGRdT69es1Wu/7779/4WCIiIiIiIiqO42785W4\nceMGIiIiIJPJMGTIENjY2FRRaFWD3fmIiIiIiKgiWhkTdevWLQwaNAi//vor6v09LWpubi6cnZ2x\nd+9eNGnSRHsRVyEWUUREREREVBGtjIny8/ODk5MTkpOTFTfbvXjxIpycnODn56e1YEk1KfYlNVTM\npXQwl9LBXEoHcykdzKV0SDGXNTVd8cqVK/jPf/4DU1NTRVv79u2xfPlyvPnmm1USHBERERERUXWj\ncXe+du3a4fDhw2jevLlSe3p6Onr37o0rV65USYDaxu58RERERERUEXV1g8ZXot566y0MHz4cY8aM\nQZcuXQAAp06dwrZt2zBgwADtREpERERERFTNaTwmKigoCC4uLggKCoKTkxOcnJywZMkSdO3aFUFB\nQVUZI0GafUkNFXMpHcyldDCX0sFcSgdzKR1SzKXGRVSdOnXwzTffIDU1FQkJCUhISEBqaiqWL18O\nY2PjSh00NjYWXl5e6NatG/r164erV69qtN3Dhw9hY2MDLy+vMs/l5uZi1KhRcHd3h7u7OzZs2FCp\nmIiIiIiIiDSh8ZioPXv24J133lFqKywsxOeff45JkyahQ4cOGh0wKSkJHh4eOHr0KDp37ozw8HD4\n+/sjOTkZlpaWarf99NNPsWnTJjg4OODYsWNKz3Xr1g0uLi5Yvnw5srKy4OjoiKCgIIwaNUppPY6J\nIiIiIiKiimhlivOQkJAybcbGxhg8eDACAgI0DiYkJATu7u7o3LkzAGDo0KEwMTHBpk2b1G6XmJiI\nM2fOwMfHp8yLOX78OOLj4zFr1iwAgKWlJSZMmIClS5dqHBcREREREZEmNC6iytO6dWtkZmZqvH5k\nZCTc3NyU2tzd3REZGVnuNnK5HH5+fvj222/L3WerVq3QoEEDRZubmxsuXryImzdvahxbdSbFvqSG\nirmUDuZSOphL6WAupYO5lA4p5lJtEbVgwQIYGRnByMgIcXFxir9LP2xtbVWOUVKlsLAQmZmZaNiw\noVK7lZUV0tPTy91u7dq16NGjB+zt7VU+n56eXmafJQWVuv0SERERERFVltopzseNGwdPT08AwPTp\n07Fq1SqlrnQ1atTAG2+8gfr162t0sJIrVmZmZkrtZmZm5V7NSk9Pxw8//IBTp04p2mQyWZn9qtpn\n6WPqu5I8kP5jLqWDuZQO5lI6mEvpYC6lQ4q5VFtE2djYwMbGBgCwbNkyeHh4/KODWVlZAQDy8vKU\n2vPy8pS64pXm7++PJUuWoE6dOoq258dEWVlZITU1tcw+Sx+ztHHjxilel7m5ORwcHBTJLbncyGUu\nc5nLXOYyl7nMZS5z2XCWS/7WZDiQxrPzlXj06BEOHjwIABgwYABMTEwqszkaNWqE6dOnY/bs2Yq2\n0aNHIz09XekFAMBff/0FBwcHvP7664q2K1euoKCgAA4ODnBzc0NgYCA+//xz7N27V2mq9P/7v/9D\n3759cf36dUXBBOjv7HwxMTEad5uk6i02NlZx0pJ+Yy6lg7mUDuZSOphL6dDXXKqrG9ReiSrtwYMH\nmDhxIg4ePIj8/HwAgImJCQYMGIDQ0FDUq1dPo/34+PjgxIkTSm3x8fHw8/Mrs+4rr7yClJQUpTZf\nX1+kpqYqTXE+aNAgrFixAn/++adibFR8fDw6duyoVEDpKyEEli1bB09PzzJdGYmIiIiI6OUy0nTF\n6dOno6ioCBEREbh37x7u3buH8PBwPHnyBNOmTdP4gFOnTkV8fDzOnj0LAIiIiEBBQQF8fX0BAMHB\nwXBxcYFcLle5vRCiTEXYrVs3uLm5ITg4GACQlZWFjRs34osvvtA4rups165o/Pxzc/zvf4d1HQpp\ngT7+EkOqMZfSwVxKB3MpHcyldEgxlxpfiTp58iR+/vlnpTFG3t7e6Nq1K9zd3TU+YMeOHbF7927M\nmDEDxcXFMDU1RVxcHCwsLAA8ncEvPz+/TKGUmJiIjz/+GCkpKXj8+DFcXV0REBCAgQMHAgAOHDiA\nyZMnK2KZO3cuRo4cqXFc1ZUQAsuXR+Ovv1Zg2bIZePfdvrwaRURERESkQxqPiWrXrh1OnDgBS0tL\npfasrCy4u7vj8uXLVRKgtunbmKiIiCiMHSvDo0fGqFu3AFu2yPDee/10HRb9A/raL5jKYi6lg7mU\nDuZSOphL6dDXXKqrGzTuzufi4oKJEyciOjoa2dnZyM7ORlRUFD788EO4urpqLVh6puQq1KNHfQEA\njx71w7JlUXpVBBIRERERSY3GV6JycnIwYcIEREVFKSaWqFOnDry9vfHDDz9ofK8oXdOnK1G+vlHY\nskUGufzZlScjoyiMGSPDpk28GkVEREREVFW0Mjufubk5du3ahby8PMUU597e3mVuckvaIYTA5cvR\nkMtXKLXL5f1w+fIMCMGxUUREREREuqBxd74SZmZmGDZsGIYNG6YooKKjo7UemKHbtSsaFy70B1BS\nKMX+/V8ZLlzox5n69Njz90Mj/cVcSgdzKR3MpXQwl9IhxVxqfCWqxK1bt5CSkqK4tCWEwOzZs9Gv\nH7uXacuzsVArVD7/dGwUZ+ojIiIiItIFjcdEHT58GJMnT8aNGzfK7kQmQ3FxsdaDqwr6MCbq2Yx8\n5RemdetGcaY+IiIiIqIqoq5u0LiI8vT0xLhx49CjRw/Y2NjAyMhI6Tl9uUynD0WUr+8sXL9urPYq\nkxACLVoUYtOmr19iZFVv5cpQTJ8+UddhVCkhBK8gEhEREVVzWiuiyiuUcnNzUa9evRcO8GXShyJK\nFX2dX78y0tPT0aGDN5KTD6Fp06a6DqdKCCEwYMBQHDgQzkJKAgzhvDQUzKV0MJfSwVxKR0xMDLy8\nvHQdRqVp5T5RQ4YMwdatWyGXy8s85+/v/+LREf3t229348GDUHz77W5dh1Jldu2KRmwsODEIERER\nGQQhBJYtW6eXFzHUUXsl6vmKMTExEcXFxejYsSOMjY0V7efPn0dWVlbVRalF+nolSooWLVqHgwev\noU6dp/cYy8gArl1bgFatFqDkQlRBwQN4e7fC/PlTdBeolggh4Oo6A6dOrUDXrjNw8uQKXo3Sc+ya\nSUREpF5ERBTGj4/Gpk399W4s/wt357O1tcW4ceMqLDrCwsJUTjhRHbGIqj5ycnLQp88cnDkTCMBc\nxRrZcHaegyNHgmBurup5/VJ6whBDmBhE6uPbhBCYOHEGQkNZDBMRVQX+UKX/9P0HZLV1g1Bj1qxZ\n6p5WWLx4sUbrVQcVvORqKyYmRtchVIns7GzRps3HAsgWgCj1yBJt2kwW2dnZug5RK+RyuejadZoA\n5AKIEcDTZblcruvQqkRaWpqoX7+jSE9P13UoVSY8/JAwMXlPRERE6ToU0gKp/htriJhLaZDL5eKt\nt96T7OdkaStWbNB1CFUmPPyQqFs3SgAxom7dQ3r3mamublA7JmrJkiUAgPv37yMvL6/c9ebMmfOi\nBR4ZOHNzcyQkBMLObrFSu51dIBISpHEFCgDGj4/G6dOlb54sw+nT/TB+vDTHRkl9fJv4+15u+flT\nsGxZFK9uSwBzKB3MpTQYyhji9PR0LFy4GhkZGboORetKPisfPeoLoOQ+p9L5zFRbRN29excffPAB\nmjVrhqZNm8LPzw8PHz58WbFRKVKenSYvLw+5udaoWTMZrVtPQ82al5Cbay2Z/9eEELh8ORpyed+/\nWzwBAHJ5P1y+LI1/TBYtWgcXl+nw9FwAT88FCA/PBNAFO3feV7S5uEzHokXrdB2qVuzaFY0LF/oD\n8MKFC/0k/yG/cmWorkOoUkIIbN0aKYlz0dAxl9Lw7IeqcEl96VZFyj86LloUjbNnS35A9gQgw9mz\n/fDVV9L4zFRbRG3cuBGnTp3CZ599hvHjx2Pv3r2IjIx8WbGRgVi7dheKi1MxbdoRXLiwFNOmHUZx\ncSrWrdul69C04tkX7uf7AMsk8wXc338UiosfIy5uGuLiFuDatQUAnk4UEhe3AHFxU1FcXAh//1G6\nDVQLpP7L2vOk/CtpiV27ohEeLv1fvA0BcykNpT83pfI5WcJQfnQUQuC//41GUVFfpfaion7YsUMi\nn5nq+gE6OzuLjIwMxfLJkyfF4MGDX7RbYbVQwUuutqTcxzsw8Htx7lyyUtu5c8liyZL1OopIe5TH\nQpWM94op9bd0xkZlZ2eL5s1Vj29r3lw649vGjTskjIyilHJpZHRIjBunX/28NTV79moBnBIBAWt0\nHUqVeHaOHpPMuaiOlMdeGFoupUrqY4izs7OFs7Oqz8pnn5nOzvr/mflsLFTZ7z76NDZKXd2g9kpU\njRo18NprrymWXVxccPv27TLr/fTTT9qu7ciABARMQqdO7ZXaOnVqj1mzPtRRRNpT/lWoEtL5lc3c\n3BxJSarHtyUlSWN8myjTNfMpds3UX1L+xft5Ur+qaEi5BKTbzVbqY4jNzc1x5Egg2rSZAyDnuWez\n0aaN/s9KLJ7rsfE8qfTgUFtEmZiYlGmrU6dOmbYvv/xSexGRSlIeEyVlBw7Ewtk5Hh4eC0o9YpWW\nnZ1PYv/+GF2HqhVSH99Wtij2/Pu/0vnSZrhdMz0l88FeHimPvTC0XEq1IC77Q5UnAGn9UAU8LaSW\nLw+EpaXyj46WloFYvly/CyigvB+QPUv9LY3PTLX3ibKwsICjo6Ninn4hBM6dO1emjTfbJSIAmDUr\nBBs3pmHs2GZYvHgy5s79DmFh6Zg48XUEBfnrOrx/RJS614XqK4tCL++BoUpOTg7eeGMO0tKev4db\nNpo3nyOZK4sLF0YhMFCGoqJn92urVSsKc+fKMH++/t/DzZBuaC71XD4vIGANlizpioCAXxAY6Kfr\ncLSm9P0Unye1+yump6fjzTd34/79nrC13YAbNyahQYOjOHPmXTQtOUH1lK/vLFy/bqz2s1AIgRYt\nCrFp09cvMbLKe+Gb7TZp0gT9+/evsOiIjo5W2c2vPLGxsVi4cCGKiopgamqKNWvWwM7OTuW6jx8/\nxldffYWDBw+idu3akMlkePPNN/HFF18odTU0NzeHo6Oj0raTJ0/GsGHDlNr0tYiKjY3l1SiJ154U\nLQAAHzNJREFUkHIug4LWY8CAbkrdM8+fv4RDh07offdM1R/usSj965qUPuRzcnLQtetiXL26XNFm\nZ/cZTp2aK4kCSggBe/sZuHy5pCiOxdNcCrRrNwPJydIohg3hhuaGkEtDKIhV/1AVi2f/xkrnhypA\n2j86qqKv333U1Q011W3YpUsXbNq0qcIDDBo0SONgkpKSMHjwYBw9ehSdO3dGeHg4PDw8kJycDEtL\nyzLrZ2VlYeXKlUhOToa1tTUKCwvRv39/zJ8/H6Ghz/oDOzo6IiZGGl2iiPRVQMCkMm2dOrUvM+ZN\nHz3tmmkMmeykoi0n5ybMzWMVy0II7N9fKIkiqnTXzJJfSUu6ZurzF+4Su3ZFIzVV9ayZqalPu5no\nex5Lxl6ou6qo7wUUYBi59PcfhX375iAubhpK5/HatQW4dg0oKYj1uZttZcYQ63s+AaBePRMcOTJe\n8fm4bNk0jB799EdH0g9qr0RVhQkTJuDu3bvYv3+/oq1FixaYMmUKPv300zLrFxUV4eLFi0pXmRYt\nWoSwsDCkpKQo2ry8vDQqovT1ShQR0csk5V9JDalrJiDtq4qGlMucnBy4uMzBb7+VLYjbtJmj9zeo\nl1IXMJKOF74SVRUiIyMxffp0pTZ3d3dERkaqLKJq1aqlKKDkcjmSkpKwZcsWzJgx46XES0RkiKT8\nK6mh/eIt5auKhpTLkskIxo5djKysZwWxVCYjYGFE+ualFlGFhYXIzMxEw4YNldqtrKwQHx+vdtuM\njAx4enoiLS0NERERePvtt5Wev3PnDoYPH4709HQ4Ojpi5MiRcHV11fpr0BV97UtKZTGX0iHlXBpm\n10wbxbKUumY+vaF5GqZNO4LFi5cqriquW7dL768qGlouHRzyULu2ckFcu7Y1HB0fQvW4N/0m5X9j\nDY0Uc/lSi6jMzEwAgJmZmVK7mZmZ4rnyNG3aFL///juOHTuGWbNm4fDhw1i9erXi+VatWiEwMBAt\nW7ZEVFQURowYAX9/f16xIiIiJap+8ZbiB3wJKV9VNLRcSrkgJtI3L3VMVGFhIUxMTPD999/jww+f\nzdQ1bdo07N+/H9eejo6s0LZt2zBmzBhkZGSgcePGKtcJCAjAnj17cOnSJaV2mUyGsWPHwsbGBsDT\ny+MODg6Kf3BjY2MBgMtc5jKXucxlLnO5Wi1v3boPn3wyAZ06tVc8b2HRCIcOnYCLS2udx8dlLuv7\ncsnfN2/eBACEhYW92BTnpSUkJMDFxUWp7fHjx1i7di2GDx+uNN24Oo0aNcL06dMxe/ZsRdvo0aOR\nnp6u9AJKyOVyAICRkZGi7d69e2jcuDE2b96MMWPGqDzOgQMHMHDgQFy9ehWtWrVStHNiCSIiIiIi\nqoi6usFIZasKpYueEjVr1oSFhQX8/DS/0ZuPjw9OnFDuQhAfHw8fHx+V62/ZsqXMhBOJiYmQyWTo\n3r07AODo0aPYvn270jqnT5+GjY2NUgGlz1QVmKSfmEvpYC6lg7mUDuZSOphL6ZBiLjUuolRubGSE\nsWPH4s8//9R4m6lTpyI+Ph5nz54FAERERKCgoAC+vr4AgODgYLi4uCiuQAHAjh07cPXqVQBPJ5BY\nvXo1PD09YWtrCwBIS0vD4sWLcf/+fQDAlStXsHPnTowdO/afvDwiIiIiIqIy1HbnCwkJwapVqwA8\nLV6eH38khMCdO3fwwQcfYMOGDRofNC4uDl9++SWKi4thamqKNWvWoHXrp315v/rqK0RERODs2bOo\nUaMG0tPTsWzZMkRFRcHU1BSWlpYYMGAA3n//fUUXwpJ1Dh8+jPr166NJkyYYNmwY3nnnHZiYmCi/\nYHbnIyIiIiKiCqirG9QWUefOncO5c+cAAEuXLsWsWbOUdlSjRg04OjqiQ4cOWg656rCIIiIiIiKi\nirxwEVXa1q1bMXr0aK0Gpgv6WkTFxsYqZhAh/cZcSgdzKR3MpXQwl9LBXEqHvuZSKxNLqCugeC8m\nIiIiIiIyFBpfiSoqKkJCQgJ++uknpKSkQAihqM6io6Nx69atqo5VK/T1ShQREREREb08WrkStXTp\nUgwePBiHDx9GcXExhBBKDyIiIiIiIkOgcRG1fft2/Pbbb4iLi0NYWBg2b96MTZs2YfPmzRg3blwV\nhkiANOfXN1TMpXQwl9LBXEoHcykdzKV0SDGXGhdRdnZ2qFOnjsrnxowZo7WAiIiIiIiIqjO1Y6L+\n+OMPxd8XL17Ezp070b9/f3Tu3FlRUAkhMGLECMTHx1d9tFrAMVFERERERFSRF57i3MhIswtVMpkM\nxcXFLxbdS8YiioiIiIiIKvLCE0t06dIFN27cwPXr19U+unTpUiWB0zNS7EtqqJhL6WAupYO5lA7m\nUjqYS+mQYi5rqnsyODgY1tbWFe5k7dq1WguIiIiIiIioOtP4PlFz5sxBYGBgVcdT5didj4iIiIiI\nKqKublB7Jaq07du3w9jYWOVzdevWxVtvvQV7e/sXi5CIiIiIiEhPaDzFubW1NRYvXozAwEDs378f\n+/btQ1BQEL755hvs3bsXLi4usLe3R0pKSlXGa7Ck2JfUUDGX0sFcSgdzKR3MpXQwl9IhxVxqfCWq\nT58+8PHxwccff6yY3jw/Px/r169HjRo1cOzYMfznP//Bxo0bJdHtj4iIiIiISBWNx0R5eHggJiam\nzLTncrkcvXr1QkxMDORyObp3744TJ05USbDawDFRRERERERUkRee4ry0lJQUJCUllWk/f/48fv/9\n96c7MzLCgwcPXjBMIiIiIiKi6k/jIuqDDz7A22+/jbFjxyIkJAQhISEYM2YMBg4ciDFjxqCwsBBT\npkxB48aNqzJegyXFvqSGirmUDuZSOphL6WAupYO5lA4p5lLjMVFBQUFo2bIl9u/fj7lz5wIAevfu\njYULF2L8+PF4+PAh2rVrB19f3yoLloiIiIiISNc0HhNV2uPHjwEAtWvX1npAVY1jooiIiIiIqCJa\nGRNVWu3atZUKqEmTJlVq+9jYWHh5eaFbt27o168frl69Wu66jx8/xrx58+Dk5ARXV1e4ublh6tSp\nuHXrltJ6ubm5GDVqFNzd3eHu7o4NGzZU7kURERERERFpQG13vsjISDRo0ABubm7w9fUtU42VLEdH\nR2t8wKSkJAwePBhHjx5F586dER4eDg8PDyQnJ8PS0rLM+llZWVi5ciWSk5NhbW2NwsJC9O/fH/Pn\nz0doaKhiPW9vb7i4uGDbtm3IysqCo6Mj6tati1GjRmkcW3UWGxsLT09PXYdBWsBcSgdzKR3MpXQw\nl9LBXEqHFHOp9krU119/rbiiExUVBSGEUhFVslyZ7nEhISFwd3dH586dAQBDhw6FiYkJNm3apHJ9\nKysrHD9+HNbW1gAAY2NjeHl5ISYmRrHO8ePHER8fj1mzZgEALC0tMWHCBCxdulTjuKq7c+fO6ToE\n0hLmUjqYS+lgLqWDuZQO5lI6pJhLtVei4uPjFX/37Nmz3EJn9OjRGh8wMjIS06dPV2pzd3dHZGQk\nPv300zLr16pVC46OjgCe3pMqKSkJW7ZswYwZM5T22apVKzRo0EDR5ubmhgULFuDmzZuwsbHROL7q\nKicnR9chkJYwl9LBXEoHcykdzKV0MJfSIcVcajwmatu2beU+p+m9oQoLC5GZmYmGDRsqtVtZWSE9\nPV3tthkZGWjTpg1cXFywatUqTJkyRfFcenp6mX2WFFQV7ZeIiIiIiKgyNCqiioqKVHbZKy4uxvbt\n23H69GmNDpaZmQkAMDMzU2o3MzNTPFeepk2b4vfff8fBgwexaNEi+Pv7K+1X1T5LH1Pf3bx5U9ch\nkJYwl9LBXEoHcykdzKV0MJfSIclcCjXu3LkjpkyZIiwtLcWrr74qAgIChBBCFBQUiNWrVwsbGxsh\nk8mEt7e3ut0oFBQUCJlMJtavX6/UPnXqVNGyZUuN9iGEEFu3bhVGRkbizp07Qgghhg8fLlxdXZXW\nSUxMFDKZTBw/flypvVOnTgIAH3zwwQcffPDBBx988MFHuY9OnTqVW4+oHRO1fv16REREwMfHB3l5\nefj222/Ru3dvfPLJJ7h27RpGjhyJzz77DO3bt1e3GwVjY2M0aNAA9+/fV2q/f/8+mjVrpnIbuVwO\nADAyenbRrE+fPopZAceMGYNmzZrh119/LbNPAGX2K8WBbURERERE9PKoLaLCw8Px66+/omnTpgCA\nkydPok+fPvDw8MChQ4fQvHnzSh/Qx8cHJ06cUGqLj4+Hn5+fyvW3bNmC8+fPY+XKlYq2xMREyGQy\ndO/eHQAwaNAgrFixAn/++adibFR8fDw6duwoiUkliIiIiIio+lA7JqpOnTqKAgoAXF1dYWVlhYiI\niBcqoABg6tSpiI+Px9mzZwEAERERKCgogK+vLwAgODgYLi4uiitQALBjxw7FDXnv3LmD1atXw9PT\nE7a2tgCAbt26wc3NDcHBwQCe3ltq48aN+OKLL14oRiIiIiIiovKovRJlampapq1FixYwMTFRavPx\n8UFkZKRGB+zYsSN2796NGTNmoLi4GKampoiLi4OFhQWApzP45efnKyay6N27NxITEzFw4ECYmprC\n0tISAwYMwPvvv6+03wMHDmDy5Mlwd3cHAMydOxcjR47UKCYiIiIiIiJNyYQo/065tra2iitEACCE\nwObNm1W23bhxo2ojNWCxsbFYuHAhioqKYGpqijVr1sDOzk7XYVElbN68GUuXLkXjxo2V2vfu3Yt6\n9erpKCrS1OPHjzF//nx88803SElJweuvv670fHh4OFavXg25XI5GjRrh+++/R6NGjXQULamjLpcL\nFizA3r17YW5urmirW7cuDhw4oItQqRz79+/HunXrcPv2bZiZmaFXr14YM2YMWrZsqbQez0v9oEk+\neW7qh59++gmrVq3CtWvXULduXbz66qsYNmwYRo0apVhHUuelulnwjI2NhY2NjdLD2tq6zLKJiYnG\nM+tR5Zw/f16Ym5uLX3/9VQghxM6dO0Xjxo1FZmamjiOjyti8ebMICwvTdRj0Am7cuCFcXV3F2LFj\nhUwmE6mpqUrPR0VFiQYNGog//vhDCCFEcHCwaNeunSgqKtJFuKRGRblcsGCBiIuL01F0pCkrKyux\nYsUKIYQQjx49EhMnThSOjo5K6/C81B+a5JPnpn746KOPxCeffKJYjoqKErVq1RLXr19XLEvpvFQ7\nJsrV1RU3btxQety8ebPMcteuXV9WzWdwQkJC4O7ujs6dOwMAhg4dChMTE2zatEnHkVFlifIv+lI1\n9vDhQ2zdulXpCnxpwcHBeP/99xXjRKdOnYqbN29i7969LzNM0kBFuQR4nuoDNzc3TJkyBQBgYmIC\nPz8/nDt3TmnSKp6X+kOTfAI8N/WBv78/Fi9erFj29PRErVq1FLmU2nmptojS9Is6v9BXncjISLi5\nuSm1ubu7azwGjYj+GXt7e7Ro0ULlB3heXh5iY2OVztHatWvDycmJ52g1pC6XpD8iIyNRu3ZtxXJJ\nV6C7d+8C4HmpbyrKJ+mPdu3aKYYoZGVlISgoCE2bNsW7774ryfNSbRGl6fTgnEa8ahQWFiIzM1Mx\nbXsJKysrpKen6ygqelH79+9Hr1690KtXL6xcuRK3b9/WdUj0D2VkZEAIwXNUQjZu3AgvLy/0798f\n69evR3Z2tq5DogqcOHECdevWRb9+/QDwvNR3z+ezBM9N/fHVV1+hadOmiI+Px/nz51G3bl1Jnpdq\niyjSrczMTACAmZmZUruZmZniOdIPr776Klq3bo1Dhw7hf//7H/Lz82Ftbc1f2vScunM0KytLFyHR\nP/D666/DwcEBR48eRVhYGC5evAg7Ozs8fvxY16FROQoLCxEUFIR169YpZhTmeam/VOUT4Lmpb+bN\nm4c//vgDXl5eaN++Pc6dOyfJ85JFVDVmZWUF4GnXhNLy8vLQoEEDXYREL6h///4ICgpC7dq1Ub9+\nfQQEBKBhw4YICwvTdWj0D6g7R0ueI/3h6+uL6dOnw8jICK+++iqCgoKQm5uLPXv26Do0Ksenn34K\nZ2dnjB07VtHG81J/qconwHNTHzVs2BABAQGoWbMmvv/+e8X3VimdlyyiqjFjY2M0aNAA9+/fV2q/\nf/8+mjVrpqOoSFvc3Nz0djAlPdW0aVPIZDKeoxJlZmaGTp066W1/falbtWoVMjIy8O9//1upneel\nfiovn6rw3KyeVF0Z7NOnD6KjoyV5XrKIquZ8fHzKzFATHx8PHx8fHUVEL2L27Nlluu6dOXMGffr0\n0VFEpA1mZmbw8vJSOkcLCwuRmJjIc1QPffTRRygqKlIs5+fn4+LFi+jdu7cOoyJVQkNDERUVhZ07\nd8LIyAg3btzA0aNHAfC81Efq8gnw3NQX9vb2ZYabJCYmokePHjA1NZXceckiqpqbOnUq4uPjcfbs\nWQBAREQECgoK1E7RS9VPQkICVq1aheLiYhQXF2Pr1q1IS0vDuHHjdB0aVdLzM7vNnDkTO3fuRFpa\nGgBgzZo1sLGxwaBBg3QRHlXC87mMjo5GaGgohBAoLCxESEgIatasiWHDhukoQlJlx44dCAoKQkBA\nAM6fP48zZ87g8OHD+PnnnxXr8LzUH5rkk+emfnjy5AlWrFiBwsJCCCGwb98+/PLLL5gwYQIA6Z2X\nMsG5Xqu9uLg4fPnllyguLoapqSnWrFmD1q1b6zosqoTo6GisWbMGKSkpMDc3h4uLC4YPH857rOmB\noqIi9OjRA7m5ubhy5Qo6deqEpk2bYt++fYp1IiIiEBISAiEEGjVqhH//+9/6ewd2Casolz/++CM2\nbNiAe/fuoV69eujZsydGjBgBe3t7HUdOpdWuXRvFxcVKRbBMJsOXX36J+fPnK9p4XuoHTfLJc1M/\n/PjjjwgNDUVqaioaNmyIjh074p133oG3t7diHSmdlyyiiIiIiIiIKoHd+YiIiIiIiCqBRRQRERER\nEVElsIgiIiIiIiKqBBZRRERERERElcAiioiIiIiIqBJYRBEREREREVUCiygiIiIDI4RATk7OSz3m\ngwcPytzgmIhIX7GIIiKqZm7evAkvLy/UqVMHtra28PT0hIuLC3r27Ing4GAUFRVVyXFXrVqF8+fP\nK5avXr0KT09PGBkZIS4uTuvHO3nyJAYNGgR3d3d07NgRZ86cUXr++fdh8uTJldr/86+nOlAV05kz\nZ9C2bVs8fvz4pcQgl8vx8ccf48GDBy/leCVycnLg5+fHQoqIJIFFFBFRNWNjY4OYmBg0adIEvr6+\niI2NRUJCArZs2YLDhw+jU6dOuH37ttaPGxISovQF387ODrGxsQAAmUym9ePNnTsXvXv3xokTJ7B0\n6VLUqlVL6fnn34fvvvuuUvt//vVUB6piqlevHtq0aVPm9VcFuVwOX19fdOjQAdbW1lV+vNKsra3R\ntm1bTJw4kYUUEek9FlFERHqiWbNmOHjwIPLz8zFlypQqOcbL/HIbGxuLjh07AgC8vb3RqVMnrR+j\nOn5Zfz4mOzs77N27t0oK1eeFh4fj6tWrVfb/T0U++eQTXLp0Cbt379bJ8YmItIVFFBGRHqlduzY+\n++wz7NmzB5cuXVK0R0ZGwsnJCe7u7vDz81O62vHWW2/BwsICM2fOxAcffAAnJye0bdsWO3bsUKzT\nq1cv3LlzB19//TW8vLzw0UcfKR331q1beO+999ChQwfMnDkTubm5auPMycmBr68v2rVrh3bt2mH8\n+PGK7mMl3QSFEJg+fTq8vLxw+vRpjd8DX19fxdWpuXPnws3NDQMHDsQvv/yi0etR916V3veiRYvQ\nq1cv1KxZE2FhYUhLS8OwYcNgb28PDw8PBAQE4ObNm+W+7vbt28PDw0NRMKiK6eLFiyq7TGry/hkZ\nGWHHjh2Vysvp06fRt29fxXLpfW3fvh1DhgxBq1atMHbsWDx58gRffPEFXF1dMWLECPz++++K7Ur+\nn5o3bx4++ugjODg4oFevXkhNTcW2bdvQt29fdO/eHUeOHCkTQ+/evSuVbyKiakkQEVG1ZGNjIxYu\nXFim/dixY0Imk4nw8HAhhBAXLlwQJiYmIikpSQghRGJioqhZs6ZISUlRbOPp6SleeeUVcfz4cSGE\nENu2bRNGRkbi2rVrSscLCwsrczyZTCb69+8v/vzzT5GXlyfs7e3Fli1b1Mb+7rvvisGDB4vMzExx\n//59MWjQIDFkyJAy+42Li3uh92HcuHHCwsJCsf28efNEz549y2z3/OvR5L0q2XdkZKQQQohFixaJ\n7du3i6ioKNG7d28hl8uFEEIsXbpU+Pj4lHnd7733nsjMzBRyuVwEBAQIT09PtTGpei80ff9K8vLX\nX3+J9u3bV5iXnj17ih9//FHl8b29vUVWVpbIyckRDRs2FG+++aaIj48XQgjx4YcfigkTJiht4+np\nKWxsbMTly5fFkydPxIABA8Qbb7whVqxYIYQQYuvWraJly5ZljrVt2zbRp08ftXESEVV3vBJFRKRn\nmjRpAgBITU0FAOzcuRP9+/dXdI1zcHBA165dsXfvXsU2Qgh07twZ3bp1AwCMHDkSr776Kg4cOKDR\nMT08PNCgQQOYmprCyckJP/30U7nr5uXlISoqCv/6179gaWkJKysr/Otf/8LBgwfx6NGjF3rNzxNC\noFGjRujRo4civoSEBDx58kTtdpq+V+bm5hg4cCAAYN68eRgxYgS6deuG//73v4pud5MmTcLhw4eR\nl5en9Lo//PBDWFpaQiaT4dNPP4W3t3elXltl3r+SvJiZmVWYFwBITExEvXr1VD7n4eEBCwsL1K9f\nH05OTsjLy4OrqysAwMvLq8zkIkIItGvXDm3btkWNGjXQrVs3XLhwAaNGjVJsc/36ddy6dUtpu1de\neQVnz56t1HtCRFTd1NR1AEREVDklX0ptbGwAABERESgsLISXl5dindzcXKUvqjKZDF27dlXaz5tv\nvokDBw7A39+/wmN27txZ8be1tTV+/vnnctctGbfVpUsXpWPl5+fjwIEDGDp0aIXH00TpmGxtbZGf\nn4/bt2+jefPm5W6jyXsFoMx7BQC1atXCjh07EB0djdu3b6NmzZooLCzEuXPn0K1bN5Wv29LSEp9/\n/nmlXldl3r/S74GNjY3avGRmZiInJwcmJiYqn3d0dFT83bhxY1haWiqWmzRpgpSUFKX1ZTJZmW0a\nN26MRo0aAQBee+01AEBKSoribwCoW7cusrKykJ2dDQsLi3LjJSKqzlhEERHpmQsXLgAA7O3tAQBG\nRkbo378/1q1bp3Y78dyEBkIIjSczqFOnjuJvIyOjF56wQVuTJ8hkMhgbGyvFBFQ8kYQm75VMJlN6\nvSXCwsIwc+ZMnDp1CnZ2dor9yeXyF3kJL+T5968yebGysoKVlVW5VwNLv59CCNSuXbvCeEpvo2q5\nZF+lPXz4EA0aNGABRUR6jd35iIj0SGFhIVasWIF3330Xbdu2BQAMHToUJ0+eVFrvyJEjCA0NVSwL\nIZCQkKC0zunTpzFgwADFco0aNRRfePPz8184Rm9vb9SpUwenTp1StP3yyy8wMTFROt4/VVFBpur1\naPJelbfvsLAw9OzZU1FA/fXXX0rPq3rdWVlZSgWbJu9xVb5/jo6OGt1kVyaTVdlsgbm5uXBycqqS\nfRMRvSwsooiIqikhhNKv+GlpafD29oaZmRnWrl2raB82bBguXryI8PBwAEB2djZmz56t1GUNeDoT\nW3x8PABg+/btuHfvntKXckdHR6SlpQEA3N3dla6wVObKk5mZGby9vbFhwwZkZWUhMzMToaGhGDBg\nQJmuZJrs9/n3oby25/en6vUMHTq0wveqvH337t0bP//8s6II2bhxo9Ixn3/dcrkcX331VYUxPR+7\ntt+/0hwdHZVmdSxvX+W9B8+vr2n+SktOTmYRRUT6r2rnrSAiosq6ceOG8PT0FCYmJsLW1lZ4eHiI\nrl27Ci8vLxEcHCyKiorKbLN//37h5OQkHBwcxJAhQ8TevXuVnvf09BRz584VkyZNEs7OzqJNmzZi\nx44dSuscPXpUeHp6it69e4u1a9eKjIwM4eHhIYyMjISjo6M4duyYCAkJETY2NsLCwkKMGDGi3NeQ\nk5MjfH19Rdu2bUWbNm2Er6+vePDggRBCiN9++02xXwcHh3L3U/p9sLGxER999JEQQgg/Pz/RuHFj\n0aRJE/HFF1+I3377Tbi4uAgjIyPh6uoqzp07p/L1aPJeley7cePGwsvLS2RlZSmeu3fvnvD39xct\nWrQQPXr0EPPnzxcymUw4OjqKqKgopdfdpk0b0bNnT/Hll1+KJ0+elPseX7hwQek9joiIqPD9+yd5\niYiIEM7OzooZBlXta+bMmUrv77Fjx4SDg4MwMjISXl5eIiMjQwwZMkSYm5sLW1tbsWLFCrF9+3bR\ntm1bYWJiIvr16yeysrKU9nvgwAEhhBDFxcXC2dm5zP+fRET6RiZENbwTIRERaZWXlxe8vLwwf/58\nXYdCOjZlyhTY2NhUesILbQgODkZGRgZCQkJe+rGJiLSJ3fmIiAyA0LDrFUnfunXrcOfOHVy/fv2l\nHvf69ev4888/WUARkSTwShQRkcS99dZbSEhIgIWFBUaPHo1FixbpOiSqBvLy8mBmZibZ4xERVSUW\nUURERERERJXA7nxERERERESVwCKKiIiIiIioElhEERERERERVQKLKCIiIiIiokpgEUVERERERFQJ\nLKKIiIiIiIgq4f8BGuq2/flExXcAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x5d00290>"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "##20mm Data###\n",
      "Marker now changes with wrapping not crystal"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "markerdict = {'wrapped':'*','unwrapped':'^','partialwrap':'.'}"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pds.read_csv('alldata.csv')\n",
      "\n",
      "fig, ax = subplots()\n",
      "ax.grid()\n",
      "\n",
      "\n",
      "df = df[df.length == 20]\n",
      "df = df[df.SampleB == '2396']\n",
      "df = df[df.specialkey == 'normal']\n",
      "df = df[df.CTR < 300]\n",
      "\n",
      "lbl = {\"partialwrap\":\"Partially Wrapped\",\"wrapped\":\"Wrapped\",\"unwrapped\":\"Unwrapped\"}\n",
      "for config, grp in df.groupby('configuration'):\n",
      "    \n",
      "\n",
      "    for key, grp in grp.groupby('SampleB'):\n",
      "        ax.errorbar(grp.DOI,grp.CTR,yerr=grp.CTRerr, fmt='.', marker=markerdict[config],color=wrapdict[config],ecolor=errwrapdict[config],label=lbl[config])\n",
      "        print(config,key,grp.CTR.mean(),grp.CTRerr.mean())\n",
      "        \n",
      "    ax.set_xlabel(\"Depth of Interaction (mm)\")\n",
      "    ax.set_ylabel(\"Coincidence Time Resolution (ps)\")\n",
      "    ax.set_xlim(-1,21)\n",
      "    \n",
      "    ax.set_ylim(180,290)\n",
      "\n",
      "    \n",
      "leg = ax.legend(ncol=3)\n",
      "fig.tight_layout()\n",
      "\n",
      "if savefigures:\n",
      "    pc.savefigureadir('ctrdoi-20',aloc,fig)\n",
      "#pc.savefigureadir('ctrdoi-20','/home/mbrown/Desktop/figures-svg',fig,ext='svg')\n",
      "show()\n",
      "    \n",
      "    \n",
      "    \n",
      "    "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "partialwrap 2396 222.08438844 4.36082971936\n",
        "unwrapped 2396 239.976829432 7.35808035937\n",
        "wrapped 2396 198.298205146 4.36152894805\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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Jb29voVarDW4LkZOTIz788EPRokUL0alTJ7F48WLx4MED0bp1a1G9enXh4OAg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\nrkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x5d08a10>"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pds.read_csv('alldata.csv')\n",
      "rc('text', usetex=True)\n",
      "fig, ax = subplots()\n",
      "ax.grid()\n",
      "\n",
      "df = df[df.length == 20]\n",
      "df = df[df.SampleB == '2396']\n",
      "df = df[df.specialkey == 'normal']\n",
      "\n",
      "for config, grp in df.groupby('configuration'):\n",
      "    \n",
      "    for key, grp in grp.groupby('SampleB'):\n",
      "        ax.errorbar(grp.DOI,grp.numofsamples,yerr=sqrt(grp.numofsamples),fmt='.',marker=markerdict[config],color=wrapdict[config],ecolor=errwrapdict[config],label=lbl[config])\n",
      "        \n",
      "    ax.set_xlim(-1,21)\n",
      "    ax.set_ylim(0,7000)\n",
      "\n",
      "step = lambda x, xmin, xmax : 1/(xmax-xmin)*((x>=xmin) & (x<=xmax))\n",
      "\n",
      "x = linspace(-5,40,500)\n",
      "xs = linspace(-5,5)\n",
      "y = convolve(step(x,0,20),stats.norm(scale=1/2.355).pdf(xs),mode='same')\n",
      "y*=5000/max(y)\n",
      "\n",
      "ax.plot(x,y,'k--')\n",
      "ax.set_xlabel(\"Depth of Interaction (mm)\")\n",
      "ax.set_ylabel(\"Number of $\\gamma\\gamma$ events detected\")\n",
      "    \n",
      "ax.legend(ncol=3)\n",
      "fig.tight_layout()\n",
      "\n",
      "if savefigures:\n",
      "    pc.savefigureadir('numberofsamples-20',aloc,fig)\n",
      "#pc.savefigureadir('numberofsamples-20','/home/mbrown/Desktop/figures-svg',fig,ext='svg')\n",
      "show()\n",
      "rc('text', usetex=False)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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xWLx4sXjqqacmPb4a9l+7dq247LLLxCc/+UnxyU9+Ulx22WXisssuU93+Tz75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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x5f87550>"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pds.read_csv('alldata.csv')\n",
      "\n",
      "fig, ax = subplots()\n",
      "ax.grid()\n",
      "\n",
      "\n",
      "df = df[df.length == 20]\n",
      "\n",
      "df = df[df.SampleB == '2396']\n",
      "\n",
      "df = df[df.specialkey == 'normal']\n",
      "\n",
      "for config, grp in df.groupby('configuration'):\n",
      "        \n",
      "    for key, grp in grp.groupby('SampleB'):\n",
      "        ax.errorbar(grp.DOI,grp.location,yerr=grp.locationerr,fmt='.',marker=markerdict[config],color=wrapdict[config],ecolor=errwrapdict[config],label=lbl[config])\n",
      "        vals = [unc.ufloat(a,b) for a,b in zip(grp.location, grp.locationerr)]\n",
      "        print(ptp(vals),\"ps\")\n",
      "        \n",
      "    for reducelim in [20,15,10,8]:\n",
      "        fgrp = grp[grp.DOI < reducelim]\n",
      "        (m,c), err = opt.curve_fit(linear,array(fgrp['DOI']),array(fgrp['location']),sigma=fgrp['locationerr'])\n",
      "        merr,cerr = err.diagonal()\n",
      "        \n",
      "        #X = linspace(0,30)\n",
      "        #Y = linear(X,m,c)\n",
      "        #ax.plot(X,Y,'k--')\n",
      "        \n",
      "        factor = 3E-1\n",
      "        print(config,\"<\",reducelim,\"n\", unc.ufloat(m,merr)*factor)\n",
      "    \n",
      "    \n",
      "    ax.set_xlabel(\"Depth of Interaction (mm)\")\n",
      "    ax.set_ylabel(\"Delay Peak Centroid (ps)\")\n",
      "    ax.set_xlim(-1,21)\n",
      "    \n",
      "    ax.set_ylim(0,250)\n",
      "\n",
      "    \n",
      "ax.legend(ncol=3)\n",
      "fig.tight_layout()\n",
      "\n",
      "if savefigures:\n",
      "    pc.savefigureadir('centroidposition-20',aloc,fig)\n",
      "#pc.savefigureadir('centroidposition-20','/home/mbrown/Desktop/figures-svg',fig,ext='svg')\n",
      "show()\n",
      "    \n",
      "    "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "162.2+/-1.7 ps\n",
        "partialwrap < 20 n 2.6+/-0.4\n",
        "partialwrap < 15 n 3.9+/-0.4\n",
        "partialwrap < 10 n 5.0+/-0.6\n",
        "partialwrap < 8 n 5.0+/-0.6\n",
        "120+/-12 ps\n",
        "unwrapped < 20 n 3.2+/-0.5\n",
        "unwrapped < 15 n 3.2+/-0.7\n",
        "unwrapped < 10 n 3.9+/-1.0\n",
        "unwrapped < 8 n 3.9+/-1.0\n",
        "130.7+/-1.5 ps\n",
        "wrapped < 20 n 1.9+/-0.6\n",
        "wrapped < 15 n 3.4+/-0.5\n",
        "wrapped < 10 n 4.4+/-1.1\n",
        "wrapped < 8 n 4.4+/-1.1\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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xQyDSC+YymQvmsqZDFw4JK69nBFAuACGAciH19hGzr842dmhUB+CwsUOQhfLycuHtHVgl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\nThQREREREZEZ/hdP80RX2nByMQAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x5b36d50>"
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pds.read_csv('alldata.csv')\n",
      "\n",
      "fig, ax = subplots()\n",
      "ax.grid()\n",
      "\n",
      "df = df[df.length == 20]\n",
      "df = df[df.SampleB == '2396']\n",
      "df = df[df.specialkey == 'normal']\n",
      "\n",
      "for config, grp in df.groupby('configuration'):\n",
      "        \n",
      "    for key, grp in grp.groupby('SampleB'):\n",
      "        ax.errorbar(grp.DOI,grp.ERright,yerr=grp.ERrighterr,fmt='.',marker=markerdict[config],color=wrapdict[config],ecolor=errwrapdict[config],label=lbl[config])\n",
      "        \n",
      "        \n",
      "    ax.set_xlabel(\"Depth of Interaction (mm)\")\n",
      "    ax.set_ylabel(\"Energy Resolution (%)\")\n",
      "    ax.set_xlim(-1,21)\n",
      "    ax.set_ylim(8,25)\n",
      "    \n",
      "ax.legend(ncol=3)\n",
      "fig.tight_layout()\n",
      "\n",
      "if savefigures:\n",
      "    pc.savefigureadir('energyresolution-20',aloc,fig)\n",
      "#pc.savefigureadir('energyresolution-20','/home/mbrown/Desktop/figures-svg',fig,ext='svg')\n",
      "\n",
      "show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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yJZRKJZRKJVq1aoWQkBCcOnWqPGO0GJY0jvNZxS5+aTjenqwVX6fJmjCfi6f9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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x5d130d0>"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pds.read_csv('alldata.csv')\n",
      "\n",
      "fig, ax = subplots()\n",
      "ax.grid()\n",
      "\n",
      "df = df[df.length == 20]\n",
      "df = df[df.SampleB == '2396']\n",
      "df = df[df.specialkey == 'normal']\n",
      "\n",
      "for config, grp in df.groupby('configuration'):\n",
      "    for key, grp in grp.groupby('SampleB'):\n",
      "        ax.errorbar(grp.DOI,grp.RPloc,yerr=grp.RPlocerr,fmt='.',marker=markerdict[config],color=wrapdict[config],ecolor=errwrapdict[config],label=lbl[config])\n",
      "        \n",
      "        \n",
      "    ax.set_xlabel(\"Depth of Interaction (mm)\")\n",
      "    ax.set_ylabel(\"Right Photopeak Centroid (Arb.)\")\n",
      "    ax.set_xlim(-1,21)\n",
      "    ax.set_ylim(0.3,0.5)\n",
      "    \n",
      "ax.legend(ncol=3)\n",
      "fig.tight_layout()\n",
      "\n",
      "if savefigures:\n",
      "    pc.savefigureadir('lightoutput-20',aloc,fig)\n",
      "\n",
      "show()    "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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BZqtse3l9LAIC3jepup/15MkT8emnn4qOHTsKJycn0b59e9GpUycxadIklRX4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\ngg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x5b36d50>"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Standard CTR##"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pds.read_csv('standarddata.csv')\n",
      "\n",
      "df[\"person\"] = df.uniquename.apply(lambda astr : astr.split('_')[-2])\n",
      "df['num'] = df.uniquename.apply(lambda astr : int(astr.split('_')[-1]))\n",
      "\n",
      "df = df[((df.person == 'MW') & (df.num == 1)) | \n",
      "        (df.length == 5) & (df.person == 'SW') & ((df.num == 4) | (df.num==25)) |\n",
      "        (df.length == 10) & (df.person == 'SW') & (df.num == 1) |\n",
      "        (df.length == 15) & (df.person == 'SW') & (df.num == 1) |\n",
      "        (df.length == 20) & (df.person == 'SW') & ((df.num == 1) | (df.num==9)) |\n",
      "        (df.length == 30) & (df.person == 'SW') & ((df.num == 1) | (df.num==9)) ]\n",
      "\n",
      "grp = df.groupby(['length'])\n",
      "fdf = grp.aggregate(np.mean)\n",
      "\n",
      "fdf['DOI'] = 1\n",
      "fdf['configuration'] = 'wrapped'\n",
      "fdf['length'] = [5,10,15,20,30]\n",
      "\n",
      "fig, ax = subplots()\n",
      "ax.grid()\n",
      "\n",
      "Cols = {'MW':'b','SW':'r'}\n",
      "Marker = {'MW':'*','SW':'^'}\n",
      "Lbl = {'MW' : 'Wrap 1', 'SW' : 'Wrap 2'}\n",
      "\n",
      "\n",
      "for key, grp in df.groupby('person'):\n",
      "    ax.errorbar(grp.length, grp.CTR, yerr=grp.CTRerr, fmt=Marker[key], color=Cols[key],label=Lbl[key])\n",
      "\n",
      "#ax.errorbar(fdf.length, fdf.CTR, yerr=fdf.CTRError, fmt='.', color='b')\n",
      "ax.set_xlim(-2,32)\n",
      "ax.set_ylim(120,250)\n",
      "\n",
      "ax.set_xlabel(\"Scintillator Crystal Length (mm)\")\n",
      "ax.set_ylabel(\"Coincidence Time Resolution (ps)\")\n",
      "\n",
      "ax.legend()\n",
      "fig.tight_layout()\n",
      "\n",
      "if savefigures:\n",
      "    pc.savefigureadir('standardctr',aloc,fig)\n",
      "\n",
      "show()\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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XX3p73g8ePBhnzpzBgQMHYGVlhRYtWig+74YNG3Dx4kXMmjULTz31lFwvDGzikJ6erlfW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\nOTkZzz33HJYuXapzG0ZGRnB0dISRkVGNjh0ZGYnIyEitMkN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YsWIF1Go1WrRoAX9/f7zy\nyito1apVvR87NzcXpqam9X6chj4mERHAQRQREREREVGNcDofERERERFRDXAQRUREREREVAMcRBER\nEREREdUAB1FEREREREQ1wEEUERERERFRDXAQRUREREREVAP/D720WMYs7ALgAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x395d1d0>"
       ]
      }
     ],
     "prompt_number": 15
    }
   ],
   "metadata": {}
  }
 ]
}