{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SA13: Validation Checks (FULL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "#%config InlineBackend.figure_format = 'svg'\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rc('figure', figsize=(10, 6))\n",
    "plt.style.use('ggplot')\n",
    "\n",
    "import numpy as np\n",
    "from astropy.table import Table\n",
    "import itertools\n",
    "\n",
    "import time\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Elapsed time(secs):  0.09882736206054688\n",
      "Number of sources in master catalogue:  9799\n"
     ]
    }
   ],
   "source": [
    "t0 = time.time()\n",
    "\n",
    "catname = \"../../dmu1/dmu1_ml_SA13/data/master_catalogue_sa13_20180219.fits\"\n",
    "master_catalogue = Table.read(catname)\n",
    "\n",
    "print('Elapsed time(secs): ', time.time() - t0)\n",
    "\n",
    "print(\"Number of sources in master catalogue: \", len(master_catalogue))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SA13\n"
     ]
    }
   ],
   "source": [
    "field = master_catalogue[\"field\"][0]\n",
    "field = field.rstrip()    # remove whitespaces at the end of the sting\n",
    "print(field)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "IPython.OutputArea.auto_scroll_threshold = 9999;"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%javascript\n",
    "IPython.OutputArea.auto_scroll_threshold = 9999;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "u_bands = []\n",
    "g_bands = [\"BASS g\"]\n",
    "r_bands = [\"BASS r\"]\n",
    "i_bands = []\n",
    "z_bands = [\"BASS z\"]\n",
    "y_bands = []\n",
    "J_bands = [\"WFCAM J\"]\n",
    "H_bands = []\n",
    "K_bands = []\n",
    "\n",
    "all_bands = []\n",
    "\n",
    "irac_bands = []\n",
    "\n",
    "opt_mags = u_bands + g_bands + r_bands + i_bands + z_bands + y_bands\n",
    "ir_mags = J_bands + H_bands + K_bands + irac_bands\n",
    "\n",
    "other_bands = []\n",
    "\n",
    "all_mags = opt_mags + ir_mags + other_bands\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1/ Magnitude errors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def mag_vs_err(x, y, fig, ax, labels=(\"x\", \"y\"), savefig=False):\n",
    "\n",
    "    x_label, y_label = labels\n",
    "    print(x_label)\n",
    "\n",
    "    # Use only finite values\n",
    "    mask = np.isfinite(x) & np.isfinite(y) & (x!=99.) & (y!=99.)\n",
    "    x = np.copy(x[mask])\n",
    "    y = np.copy(y[mask])\n",
    "   \n",
    "    if len(x) > 0:\n",
    "        print(\"    Error max: {:.0f}\".format(np.max(y)))\n",
    "        err10 = y > 10\n",
    "        if len(x[err10]) > 0:\n",
    "            print(\"    magerr > 10: Number of objects = {:d}, min mag = {:.1f}\".format(len(x[err10]), np.min(x[err10])))\n",
    "        else:\n",
    "            print(\"    magerr > 10: Number of objects = {:d}, min mag = {:.1f}\".format(len(x[err10]), np.nan))\n",
    "        err100 = y > 100\n",
    "        if len(x[err100]) > 0:\n",
    "            print(\"    magerr > 100: Number of objects = {:d}, min mag = {:.1f}\".format(len(x[err100]), np.min(x[err100])))\n",
    "        else:\n",
    "            print(\"    magerr > 100: Number of objects = {:d}, min mag = {:.1f}\".format(len(x[err100]), np.nan))\n",
    "        err1000 = y > 1000\n",
    "        if len(x[err1000]) > 0:\n",
    "            print(\"    magerr > 1000: Number of objects = {:d}, min mag = {:.1f}\".format(len(x[err1000]), np.min(x[err1000])))\n",
    "        else:\n",
    "            print(\"    magerr > 1000: Number of objects = {:d}, min mag = {:.1f}\".format(len(x[err1000]), np.nan))\n",
    "    else:\n",
    "        print(\"    no data\")\n",
    "    print(\"\")\n",
    "\n",
    "\n",
    "    # Plot\n",
    "    ax.set_yscale('log')    # to place before scatter to avoid issues\n",
    "    ax.scatter(x, y, marker='.', alpha=0.1, s=50)\n",
    "    ax.invert_xaxis()\n",
    "    #ax.get_yaxis().set_major_formatter(matplotlib.ticker.ScalarFormatter())\n",
    "    #ax.get_xaxis().get_major_formatter().labelOnlyBase = False\n",
    "    ax.set_xlabel(labels[0])\n",
    "    ax.set_ylabel(labels[1])\n",
    "\n",
    "    # Save ex. fig\n",
    "    if savefig:\n",
    "        survey_label = ((x_label.replace(\" \", \"_\")).replace(\"(\", \"\")).replace(\")\", \"\")\n",
    "        figname = field + \"_magVSmagerr_\" + survey_label + \".png\"\n",
    "        plt.savefig(\"/data/help/plots/\" + figname, bbox_inches='tight')\n",
    "    #plt.show()\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BASS g mag (aperture)\n",
      "    Error max: 409\n",
      "    magerr > 10: Number of objects = 23, min mag = 27.8\n",
      "    magerr > 100: Number of objects = 1, min mag = 32.4\n",
      "    magerr > 1000: Number of objects = 0, min mag = nan\n",
      "\n",
      "BASS g mag (total)\n",
      "    Error max: 35226\n",
      "    magerr > 10: Number of objects = 47, min mag = 25.8\n",
      "    magerr > 100: Number of objects = 4, min mag = 31.3\n",
      "    magerr > 1000: Number of objects = 1, min mag = 36.5\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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0zQUmNxcMwB/AMFxQUAid7dDeBqeOOe99+6BGgEVEJhgtdSQiIul03jm/iUSCQ4cO8c47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\nbNiwYRp3Nzy7d+/mhRdemO5tKBSjQrc7IFANDgdUBeRUgLEiTOiOyz+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Mb7QLvB6ZGU4n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\nUunnpkyZgmma3HffffzjH/8gG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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8ed35f03c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BASS r mag (aperture)\n",
      "    Error max: 216\n",
      "    magerr > 10: Number of objects = 17, min mag = 27.1\n",
      "    magerr > 100: Number of objects = 2, min mag = 30.6\n",
      "    magerr > 1000: Number of objects = 0, min mag = nan\n",
      "\n",
      "BASS r mag (total)\n",
      "    Error max: 154\n",
      "    magerr > 10: Number of objects = 23, min mag = 22.1\n",
      "    magerr > 100: Number of objects = 1, min mag = 28.0\n",
      "    magerr > 1000: Number of objects = 0, min mag = nan\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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SVDsQPPuZvhU0J7gcEvlp+TcTqRAFJb+bNm3i9ttvZ/Xq1SPXXnzx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\npdhX7HAVs7iTBuhT7EXGqFUvEg0TxeJm8ShYKRSKsqjUoYwOdoHJT5y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9lhJJv15M98Vk52Bh3I56HSD7lxOPWmHBfSaYgWYHhETpCWy7D1RujshJPHMe96r9zatP2/XrlU\nnQ9vyfSAaZa8YnnFCq0VCktZ9hLuY8bvx5ZQTXoNpdOT9+ktpnpVS7TXBE1+lVJqEa6lkYYdcHDX\nbYCBfunivOMW6fo5NAy+cbjlPVCYkLP7xaKsFGQy0hjlxcMwMQEfuA/L82Qv8OjI1PgGE7Sx9Ey0\nUkrVlR1w8FKdmF3vgnJBPr+zI9BSHVtkW3Ly0liS8JZLkhCXY7Knt1SQhlhOUMYgVUpwsSSX+Xzg\nejB4ESaysGk7nDmBae/BirdAPi+z4jOj0mfCMph8Hq+jcyopXuqKpR1wqvcxBvEEtrO0xlXLuoq6\nwNLpWs0rr+k+a9yPlkE3H01+lVJqFfgiMbz1juwBDoWhswtOvSH7virVuY3RCIyOwcBFOciWi3Jm\n/dRr0NaGuf1uLMBEo5IIx0Iy9kLPRCulVN3ZAQc2bcPFgpePQLENxkbBMpBISOlydkx+2ReQFeHC\nhCTKxgJc6fIciEJ2nOqsJPlM9wdgZFD2B2dGIRiE8VGM35a/H07DeFYSZZ9fxupNHg+W4TjhlUtY\n4+PV+x3HK10xb/ha72MZj10Lrsa6onkl2dw13eeV9wNoGXQT0uRXKaVWyVQjrOqZYtPRhTU+jpnI\nwYnXYeMO6C7Jl5fTJ+WAaiwwNvzwBbnOzbdBNA6TZ/RhxRqcKKWUunZWzwaMDZx+C1wj448KeYhP\nQK4FRqol0BPjgMfU/LxgTD7vLUv+5wSqkwEs2fvb3i3l0h2dkM1I2XQgCMVRiIbl59FhCEYgHMbY\ndvV2l6Gp1NX2/F7jfRjbhrExTCSCZdlLPnZdrRrLK5cw5fLUKq1VqUDw2ldup9+Pl8voyecmtGaT\nX+32rJRqVDMOngEHKxzG+B24eAbGM9DWLuXPAxehUpESuEALvHYMLl2ETVskCd60bWUbnCi1QC+8\n8AIvvfQSmUyGD37wg7zrXe+qd0hK1Y0dcPC6N2CCYWhtg4tnZbXWtiRZvXAOhi7KPl6vIh2eQaYC\ntLTIgm+8RRJfzwIsCIWg4kHAD+dPw9YdMjs+MyLHCScg22Jsn6wmxxNY4+N4gWvvU1HTVfb8Xst9\neOWSPB/Gg+woZl0vvpXu0Dw6guX3YcplTMXF9GyQ7UU1Vm4XnBCvYHdttXLWbPKr3Z6VUs1gMhH2\ngiHMwAVwK7Ly29EFjgN95+QLEhaMjUhZ2+B5SPfh3vMAVlvb0puFqOva008/zUsvvUQikeDJJ5+c\nuvzYsWM8++yzeJ7HvffeywMPPDDnbbznPe/hPe95D7lcjueee06TX3XdkxnA6/CSKUxbBwxekHm+\nFQ8CoWr5cEGS2lwGSkW5zHNl328uC+M52SaTTILtSPm0qUiZdKkMZ9+Sld5kSpKvaEyuG4tBuYQJ\nOLI1ppoAL2VVclZy68y+rYXeh8llZG/yZHVTsQCR2KJju6rqqrWpVOTEciiElctgchmsK1ZuPZiR\nELuT24xqJMJ68rk5rdnkVymlmokdcHA7e6r7w2z5MtTZJXMf335TDq5eBcpGzpa//hpkxzH3/V9Y\nbZ2610gt2l133cX9998/Y7yh53l89atf5fHHHyeVSvHYY4+xZ88ePM/ja1/72ozrP/LIIyQSCQC+\n/vWv88EPfnBV41eqkdkBB9b34nV2SdJ35i3IZ8BGOv5nR2Q12F/9/DZGSqRtZGURZH9wuQCWJ4lv\nqEVG542kIRyVE6Ud3XK99k64cBZZPrYwm7ct72NZluOMJYk8VP+0Fn1LC1qlDYbkuR8brXbYbpU9\nv1hQqcxcuZ1W3u0ZDwb7pPv2HHt6l+85UatFk1+llGoQVmc3xnNhZEi+0HierAS0tUN6AN58TTp9\n5gsQ8EG6H174HmbvvVjhsB6A1aLs3LmTgYGBGZedPHmS7u5uurq6ANi7dy9HjhzhwQcf5NFHH511\nG8YY/vqv/5pbbrmFrVu3rkrcSjUTO+DgBRyMWwZj4YvGcFti1bzPlsTVK8nJTdcDyy+rodGYXNbW\nISXOw/1QKEiy7LOllDoYkRXgd7xTVoyLeekgHQiu/KrqIlixFkw+Lyd0nTBWrGVRtzOje3MugxuU\n26qZBHvIqvhEDozBqlQu3++0BlamXJJjbDgkkxYiUd3Tu8Zo8quUUg1C9omth2QKs/3HpCxsYlr3\nzmgUfnAEKqPS9CoUgnwRXjiMeceNuNt+DF8iWe+HodaA4eFhUqnU1M+pVIoTJ07M+fv/9E//xCuv\nvMLExAR9fX3cd999qxGmUs0lGJKTmefPyD7daAJ6NsuM91IB+vsl2e07L12hywWgBTZvgdyEJF5u\nREYlxeNQLMsJ0kIOtu2AkRG4dFYaaQWCEKpAuVLvRz2LHXDwOjqXPiJoejlzLifPaaUye4W2WMAK\nh7AiYbxoDDwPK9mOncnI308bB2X5fRgbDBZ0VptSVkcLLnVPr45Fagya/CqlVAOZUUIViQHd0qWy\n7yJs2wWxVnjliOwPiyflDL9twbEX4PRbuO+7G9+69XV9DKr5GWNmXWZZc5cmfuhDH+JDH/rQvLd5\n6NAhDh06BMATTzxBe3v70oKsI7/fr/HXUTPH76XaKbR34r75KpUbQzhWAC8Ww4yOUtleoHL8FUwy\nKQ2s8nkoj8sKr9+GthS2bePlCzInuHsDPreEtfkGIvEE5Utn8IoF3EoFu5DDbtlEJN6CLx6vuUd3\nKZb6b+CVSphCHisUXnRsXjyOGRmiks+DZbCTbVj+AAYLOxCYuu3J3zN+v6z4JttxIhHap92vmxnD\nOH5Z5TUGKxDEF08sS5xTj3dkCNMSkxiW+G/SzO8BqG/8mvwqpVQdLeRMsB1wcGMxKWdr74Db7oDh\nQSl9cz0Y6ZemWMUivPw8buRuLJ9Pzy6rRUulUqTT6amf0+k0yeTSqgr27dvHvn37pn4eGhpa0u3V\nU3t7u8ZfR80ePy1JWu/4CdKvv0bJAoaHINkOQ/0yx3egX1Zux3NQAF58QbpGxxN4/pBcbtnw1pu4\nGzbD4CAZ15PV4f6LUkIdiUAxTyGTwaq4y94UcSn/BtPLlam4sISeFZ6HjDAquViZLCZfABusYGjq\ntqHaZAtLyqIzGdodZ0b8NWOa1s16emfrRcWZy0C5NJVcky8s6d+k2d8DKxF/T0/Pgn7PXtZ7VUop\ntWBTB9vqn165NOfvWrE4OH7Zs5TsgB03wTvfLbMgxwvSJbpUBM/IyKQF3KZSc9m2bRuXLl1iYGCA\nSqXC4cOHl2WCwtGjR3nmmWeWIUKlmps/GsNa3yul0D0bASNVPL2bYNMWKV22/VIOXSrBpXMyImng\nPORzUvVTycO5t+Xk55kzcOmMTAXwKnJi1AnJKKFyeepY4JVLuCNDuCPpRR8fvHIJNzO2+OPLtKZS\nTO6lXSQ74OBLtmN1dErVVDiEFQxN3bbJZaWcGSA3hum7iDuRq3k7tCblNlaigWQ1GZ8qoQ7qWKR6\nWbMrvzrnVynV8KZ9AbhaMw074OCu65UVATxJduNJeMdOaeCRy0AkDpksjIzI2e+WuHyxSDZvaZRa\neU899RTHjx8nm83y8MMPs3//fu655x4eeughDhw4gOd53H333fT29i75vnQMoVKX2QEHL9WBGRyQ\nPavj49KoKpGCG98Jbx6HSlnm9hoLBi9BS0zGJcViYPmgIyGdn11Pfq+1FVpaIdZSnfebwsLA6Aiu\n48jqcrkMAT8mn8fr6FxQojdZpWRsW/bBOn45wbqYRHEF5uNOjQ2snvidum2/T5LgQh76L0E4AhM5\nKqnZx8WV7NysY5Eax5pNfvUAq5RqeNf4BcAXieGtd6R8K1+ojmyIwI5d0iDF5wfXhTOn5My/B2zZ\njnvTu7URlprTZz7zmZqX7969m927d69yNEpdh2ykoWFuDDCyArl5K7Svh+f/TcYbjQ6D7as2sLKg\nWIG2VjkROjoKtpGtMOUCOFFIBaFniyS5E+NyncE+uf1SAfxxOU5MzradZ/vNjJLgzCgmHJ25anuN\nidxKJoJ2wMGNRiEzBvEEVsCR2DNjsnc6FALbhxkdluPnNaq1VWmhjayWK7mevvKuSfS107JnpZSq\nk8WUWc0o8fI8menYvR5SXdIQxbZkDFJuHDJpeOtN+MER3IE+vJKWQKv60rJnpa5QLGAFQ9itbbBh\nC4RboKVFToimUrDvAZnh29ENLQlphOj3QzQE4bD8N0Z6QljARB5MBTp7ZHV4JC3VQW+fkG7IGPlz\nOA3GYGz76ttvppcph6MwMbHk8l074GDH4suevHnlEtb4OFYwiDU+Lhe2JiGZkjJw2welElZr26Ju\n+8rn6lq2Ly2HqZXtclG3Ni3Sml35VUqpZrDYM8GT5XKMjmACjoxEMrasADiOHIit6ln5Hz4PxQJu\nvAXPF9AzxaputCpLqStMqwCynCBm+zukeeF4Vno8WBbcdie8/kNpZDUyCMGwjEnyPKACrpHErlKE\nrnXQ1SPHlfwExOJw7i1JgrMjkhRXXGme6AssbPvN9BgtG9PZhRUIrsze2KWq8XjsWBw61+HGWmQF\nuKsHfzQmFVRLvG1gwduXlkWN/dJXW7lXM2nyq5RSDWihXaC91qR0fk5US8iCG2Q/WCgkX3YungYn\nAqdeZiQawSTbcbdsxxeJre4DUkopNcuVJcC+gAORGF6sBZMekNm9XgW274Jzp+TEZiAoDa8unJOS\naBtIdsH6Xoi2yPHA74d4QhLfwT7ZU+y3oezCDTdit3dhjJF5tpXKvNtvasXoiydmdkNuFPNsJ/JF\nYtURgst828u8f3lBMVRX3k3QxposSc/nF7cH+zqjZc9KKdVgrqWMyg44Us5lLAhF5H87dsIt75PO\nz7GklMaVDeYH/w0/egV+8ALu0ABeLqMlU2pVadmzUrPVKgG2A46s8Hou+HxQysPwgPR2yGdhZEj+\nrlyQRofjoxBvh13vhvUbId6K5XlyHMmNyz7fdBoqJRjPyjaYigvBIMZ4mPFxTDQ678nWlShTXm7X\nsp3IK5eu6ThY67ZXvEt0Dcbvk5MWrUn5N16mztnXC135VUqpRnMNXaABrGQKs6HaCbo1Kau+pSLc\nfJuUPJfKMNoP7eukK3SpBOUiZuctWHqmWK0iLXtWauGsWAsmGJI9uxfPyKqua6qrvwFZwqoYCFhS\nEn3qDejshnUbpCOz8WB4GNyiNMzyB6BclI7H2QymvVO2yuSzcgI1PYBbLMos3CY+JixkO5FXmtbE\na57j4JVVWLVueyW7RM+KZXQEy+/DrlRX3Vegc/Zap8mvUko1mms8mNkBB2/DFkxrO2AAS74cYcO7\n3gtvHoN4HNu28Wxb9okV8nD8GKZ3K1Y4vCoHbqWUUgtnBxzcng2S/G7YBidelc92vx/W9coq8NiI\nnOCsVGA8Ay/8J4znMDt2yqzgUlk+34NhcALQ1gHnz8E7b4WRYTCe3E6lAkMDkJ/AFPO4kyvHa3Qf\nqSnk5zzJfOVYp4YpKZ5xYtwP2Rx2LK4jlK6RJr9KKdVgFjMGYqr8mWndIFviUip3x/0wcAlrNC1n\n+aMR6L8AbZ3wP/+G2fVu3B27dB+wUko1GF8khrv9RqnscYuSuCbbZZ5vdy+MDcHpt2TkUTIlDbJ+\n9BqkB6EtBV4JujbI6LtEq0wE6OoBDEQikB2VO8qOScUQFpw7Iw2xNm6dSvqANdVUyQqFZc/sFSeZ\na411si0/nvEgPYiX6rjmEUfLZnrjsUplqtP29JXnVY+pTve5FJr8KqVUA1pKGdVk8mwVC5jgJui7\nAK1J/LbBTXXCeE7mG06MykH/7ZPgD+Fu3aYJsFpRR48e5cUXX+TjH/94vUNRqmlMzXgPOIAlx4Zy\nGX7sJilhPvMW/OC/5fN8uB/CMWmS9dYb0LsZejbD5m0QDkGyUyp/Ao50bl7XK92l7YCs/F48LYnM\n6BCmpRUr2YbJZbAq7owV0GZSKzmznepe3StPMk9fXa2OdfJAGkgmU9KHY/Lxr3Kjqeknxq1kO3Ym\nM/txrnJM9bjPpdLkVyml1qDJ5NnLZTCxOAxewp9so1ioQDQOp14D15NfbmuH8RE4fxpvy46rNghp\npjO8qrHonl+lFscOOLC+FzcYhLMnILUFKxKbmmFrbBt+cBgS7YALmWGYKMIbr0CpAu+/B2vjlsvl\nvIzhfBgAACAASURBVNWSZl/AwQs4GAxcPAc+B/yulEKfexsTiUjJdK0RP01gvuRs6jhZbXxFMFRz\nrBOZMUimsB1HuizXY8RR1WTMtlPjvq6xX8iyqMd9LlFTJb/nz5/nH//xH8lms9x0003cd9999Q5J\nKaUaWzAk3T0DDj6/AxEHQmHY+W44ewoSKShXpGNoKII5+xbuug01V4CnyqmNB0ODuJ1dulKslFKr\nyNfeiZdonToJCWD6zsPYMCQ7gEFID1VnBY9Ik6s3XwYfGP8HsXo2yDilqqnk0HgQi8gc4URKrp/q\nkONDPAjj483ZVOkqydmVyTGtyRkrwpMnB+TYd3m8EMXi5X+DRnlOltD8atEntpuw4daqJb9PP/00\nL730EolEgieffHLq8mPHjvHss8/ieR733nsvDzzwwJy3sWHDBj72sY/heZ6OSlBKqQWwAw5uR7d8\ngYlEIDcBfj/Wph7YtAVz4Syk+8EJScOT9CBcuoB740342jtn3lixIIlvbgwsGwb78Ho26gqwUkqt\nounbYtyRIZn3O5KG8SxgQbwNRvogGAMqYAFnToP/O5gtN+K+Yxe+xOV9vKZUlNFJkRhs2CxjkbrX\nQ34cqk2fTDQqq8XN1lTpaslZjeTYjsVnJMjTy41N8HITLONVW0w2SKnvYvqFwNJKlxd7n/W0asnv\nXXfdxf3338/BgwenLvM8j69+9as8/vjjpFIpHnvsMfbs2YPneXzta1+bcf1HHnmERCLB0aNH+eY3\nv8n999+/WqErpVRT80VieJu24ncCMJzGmjar0Vu/EeOEJAEez8ier0gM/utfcW96N9bGrZcPZsEQ\nDA1K4usZiEabosRJNQ7d86vU8vHKJcgXZP/veEbm/gYjsHE9hG+FF/4dxieql4dgcFAS2pE07u0/\nji+RlHLpoUuABdmCNMcKODDUL6OVihOYQADL8yQpbHC1RhPNm5xdkRyboD1VAj1r7nJ1K9HUXN1w\naOZJCKy6jYma8biv9d9piaXLqzXqabmsWvK7c+dOBgYGZlx28uRJuru76erqAmDv3r0cOXKEBx98\nkEcffbTm7UzuF/riF7/IHXfcseJxK6XUWmAHHAKpdnzGmnW519EpB7zhtCS+A32ygjD2r5h3vhu3\ndwtWMiWryJ1dMNgH0SiWZU+V3Sm1ELrnV6llVCxghUOYTVthdAjyE9CagnXrYcNGWL8J/uuQJMbF\nIhRy0hU6+yoEg3jvvwfL8zAd66RUOhKTRDoSgfZOyGake/TExNQ0gUY21wrmfMnZXKu6V66Azhh/\nNK1LtAnakB6AXA4sg8nn8To6VzUBXnLTqTqULnulUs2TDKuhrnt+h4eHSaUuv5lSqRQnTpyY8/df\ne+01nn/+eSqVCrfeeuucv3fo0CEOHToEwBNPPEF7e/vyBb3M/H5/Q8d3Nc0cv8ZeP80c/1qLvTKe\nwxQnsDZtodLRwcQ/f5NyeQIK42A87LdfJ9QSJRRvwZdqx25vx+vuwRTyWKFw7aYbqxi/Ukpdt6pJ\ni9USx+zaLU2uonFoiWPF4hCLYz5wPwz1wfEfyN8XCuAPwtmTmK51kOoEbOhaJ6vCHV1Yk3tcW+JT\nlwF1S1YWbJErmLVWdadf3yuXMIMD0kHb9mNaW6dKwK1iAVOpSOIJ8jvFgnSIXq3mkMuwcruapcte\nuYQZGZKZ1XXoEF3X5NcYM+syy7Jq/KbYtWsXu3btuurt7tu3j3379k39PDQ0tLgAV0F7e3tDx3c1\nzRy/xl4/zRz/WordncjBudPgODInsnu9NDo59SOwAc/DyxeZOHeOibKBfBHf9LP/pXJd46+Xnp6e\neoeglFIzR9/0bgY2z0i4vFwGK96CiYTBCcD//CdYAQgEIRSRz//xrGxc7dmI1bMRAJPLyszfUkm2\nt8CslcWGtNQVzDmub3JZyGelA7abh3AYu3os9AD8fjmpYBlwwrI6vICV2GWbnrDIxz3r/lcrAS0W\nMC2xunWIrmvym0qlSKfTUz+n02mSyeV5Q+m+IqWUuorMGDgOlm3Lvq+zb0E4KnMgx4ehbGR/r+tK\nqfN4Dnf9RqzO7sY986+UUteRWUnL9P8OhjCZjCRu4Ri8+3Z4+00IRqFSkKTt/FlZ3R24hNm9F4yB\nzAiMDkujrHgbZEcxLa3Ylr/mqKNGGYG31BXMua9vYHLLkLHk5+nXSXVigiEm9/wuZCV2Oefj1or7\nav8mdZ3PGwxhVSpT3bNXu0N0XZPfbdu2cenSJQYGBmhra+Pw4cN8+tOfXpbb1n1FSil1FfEEjI1g\nHAcmshBpkTKkG26UvV7GyGqBZUFmFLJjMHARE47h7nwXvnXr6/0IlFJKzcEOOLjhkJTiBkNYqXZM\nqlM6Q7sV6e+QHoCJcRi8CLks3Pzuagtjqv/nge2HCWl8dWWyUtckqoalrmDWur4Vi2OKBZmIEApL\nSfmV10le3pLjwayV2FnJ6DLPx50e94L+Teo4n9cOOFjxuDRrq0OH6FVLfp966imOHz9ONpvl4Ycf\nZv/+/dxzzz089NBDHDhwAM/zuPvuu+nt7V2W+9OVX6WUmp8vEsPt3SwrwG0dMD4O2WGwfdIsxXFg\neAQuVsch+WxID0NbCsZHcffumz0OSal56LFZqdVlxeKSgPl9ksDZNsRiMJqW3LZcgYkcYMGFt2A8\nBz29UgUUCgI2hMMQb5Xr+/1M36BochlpqIUFkSjWGpwAMLm6u9DV7StXYoHZZeMr2WRqIYltnefz\n2o5Tt+7hq5b8fuYzn6l5+e7du9m9e/ey35+u/Cql1NX5IjHp8Al4kSgmHIZkCQIB6fpZKkE0JqMw\nRkehUgKrOtzwlRdxt2yHSGyqG7RS89Fjs1Kra0YiVi7D2ICs9lo2RKIQj0M+B24Z8kVw+2U00sat\nsHkbxBOXVzonOyGPjuCl2mWFMZOV23MN+GzM9h+r7wNeIde6ojxjJbZGIy07Fl+5JlMLSGybcT7v\ncqlr2bNSSqnGIaVblxtauSNp2RPW3inl0GNpGOyXOZID/bJiPDIEiTbM1u14G7ZcVwdQpZRqBpOJ\nmFsuS6LrDwAGQlHYvF2aF+ZGwLOgJQaxFhgbgTePw9YbqjtcLaxpCZwp5CVx8lkyD3g0DUFZUfYi\n0aY7FqzovuU5ktGVajK10MS22ebzLpc1m/xqaZVSSi2NFWvB5POy38sDtu6AvouyCuzzy57g4UEo\nF2W+YTQBnd31DlsppVQNVqwF09YNl87K9pZ8Tjr8v/NWOH8axoYkAZ4Yl78rFeDiGbjxZujZgPE5\nEA5BxcUKhSWps/1SEeQLgPEkmWqy0uer7ZFdamJcj1XW6zWxXYg1m/xqaZVSSi2NHXDwOmSfk+la\nB8WiJL2WkRK3fFY6QWcy0JqEkQG8ZNucB/ZG6QiqlFLXIzvg4G3cLPN7R4ek9DkQgJYWaO+QpoaX\nLkoSHI3ICU47CBfOQEtCqoACjiRwjjN1jDDGQPGsrABnM5jWtno/1Gszzx7Z5Wropclo41izya9S\nSqmlm37AdosFWeWNtEBoVL40GWTPcKgF+vsxlh9vy/ZZXw4arSOoUkpdj+yAA53deMk2THoAcjk5\noekPQWubzP/tj8KF02BbkM1CS1zKoL0ypncbvis/u302dPcCBgIOlufV46Et3nx7ZOvYFVmtjDWb\n/GrZs1JKLbNyWb4IOQGIJaQT6LYb5MvTaAa8IpwpYYyL27sFa7L8LRjSLxBKKdVArpxPS7kEw0NQ\nGJdGWJt2SBfnDVukK7RxoViCo9/H7eiitPu9l09q2rYkx8kUliVz471cpmmqfOYtS65zV2S1/NZs\n8qtlz0optcwCjjRDKZUgHISuHnDCUL4A4QKUbVkByGXg7NsYf0A6hebzmGgUq+LqF4jrnJ6YVqpx\nTJ9P646koVKUvcB40NUNrdXOzRdOS+I70AdjwzA2wkS6D9O+DrrWYzsOXjIFnocJh2CwDxOOYjVR\nlc9cZcnXc1fktWrNJr9KKaWWlzTAaoPcKASCEG3B8vsxneskoc2Py4iMgCP/7fNBfgLT1o4VDsu+\nYP0CcV3TE9NKNSYr1oJpSUFmWFY7w2GsWBw74ODaPjh+TFZ/jYFCnvKIgf5+yGbwNm3HcoKYeItM\nAjAejKYxgaBsdakm2M1K9+uuLZr8KqWUWpCp5ibhsKzuFguYsh+rsxsTa5FuoR4QcqQUbmQEfMBE\nDpPcjS/g4AEUC3jV21NKKVV/dsDB61mPiccBM5X4AvgSSdydt8Cbr8o2l1JROkJH4zCchkIes+1G\nGY0XicgIvPFxCBQhGMaLlWr3gdAGiKoO7HoHsFKOHj3KM888U+8wlFJqTbEDDlasRZpdAdhgyiWs\nUgmrpxfireB6UClDdgTyedk3dvok7tiIJMXVfWJeuVTfB6OUUmqKHXDwJVP4ku2zElJfIgm7boUb\nfgwCfkxHl+wFLkzAxAS8+hK8+QqMZ2Xl2PFDqhMrXO35MM3UXmE9Fqg6WLMrv1papZRSK6RYwAqG\nsEIWxhhMZgyCQWlm5bMg1iJfanIZ8AdhfExGaLz+Q0wkCu3dUgatTa+UUqqhuRM5yIxBOCKrufEE\n3HgzTiFP0aRly0u5AIU8jKTh1I+gYx10dMtKcK0eD8UCxngwIccA6zo8FujKd/2egzWb/CqllFoh\nV3a/jCdgfFx+tv1SU5TqgOERmQXsOBAMw8VzcO4MDPVhtrwDa8Pmej8SpZRSc3AncnDutHyG912Q\nsXZOABJJnJ4NFC9GYKgfinkYz0E2IwnyubehdwsAZsfOWaORjG1Louw4kMvKtpnriI7+A69Uv+dA\nk1+llFLX5Mrul76Ag1cda2TF4gCYXAY29sLIMAwNQXpQ9oGFI3D+PJTKmLYOSFxfB3yllGoamTFw\nHCzbxkRjMgbJF4NyBTCyzcXvyB7gkVHwDHgV8HzQf0lGJvX0StI8jeV5mGRKKoSiLc03F3ipdPQf\nppCv23OwZvf8KqWUWjl2wMGe1hBl+s92wJEZv9G4dHjesBFKBQiHZC9wIQcTOTjxmqwsKKWUajzx\nBJRKGM8Dz4ON26GtU8pUQyFwK5DPwebtsHW7NLsKBORyz5XV4BOvS7+H6YIhLMvGikSxLFuqia4n\nwRBUXIwxUj11vT1+wAqF6/YcrNnkVxteKaVUHQVD0gRl8ovNzlugpR1cF1oSkGiTs7yZsXpHqpRS\nqgZfJAa9myEchd7N+BJJfMkUtLZh+QMy891nywrvO2+FO+6FbTfCuvXQtQ5CQSiX4ZUXcc+cwh1J\n45WrnZ9bk3IMuA5Lfq/3xw9gO/V7DtZs2bM2vFJKqfqxAw5uZxcM9kFUzu6bW2+Dt9+UhDcSkZK3\ncKTeoSqllJqDLxKbXbYca8F2S5DNyUzfcFRW7zZshvZ18PaPZD9nIACVIlQseONlaGvHhKO4nT1Y\nyTbs6jaZ69G1zg5eiw2y6jU/ec0mv0opperLF4nh9WycOmD7Ag5eohUz0AfDg5DqwCqVLq8EqDXv\n6NGjvPjii3z84x+vdyhKqUWyAw6+VDtWxcPY66BYBC8vq7yZEdi0HeJpSPeDLwCZUfDbMNAnx4OR\nIUznetxoFNraJcFWc6rVIEstnia/SimlVsyVZ3btagJMJCKNLoyBYgEPZPyFbUvzkzV0dltdplVZ\nSq0NtuNMrdy6xQJUKlDJSwdnDNb6XmlqNTwkpdEjaZjIgkGaH/ZdhHgcOtbh3niTJsDzqdUgSy2a\nJr9KKaVW1xWjkkzQxhodkbmPg32YSAyCYbyOTk2AlVKqgXnlEuQLMu6oVJEy6GiLlEEn22Q/cH5c\nSqCHLCi7MJGRSQAAgwPgVvBuee81fd6vxTLgOV05XvDKucnqmmjDK6WUUqvqymYfludVy7nGpSt0\ndhTS/ZiRNCBfcrxcRuYCKqWUahzFAlY4BPEktLRAexdWJIqJRrHGx7EwWIEgbN4B3euho0Pmvocj\nshKcl1nCpu+CJLQLMFUGXP1zoddrVtoga3mt2ZVfLa1SSqnGNb0c2i2XYGxMOoeWymBXk+GBPtzx\nHPj9WLEWzMgQnoce+JVSqlFUVyUtvx8ITyVnXi4zVarrGU/2/UaqDa5+7GZ4/WVJfv1B6O6F/Dgm\nl8ULBK6+mnsdzsmtV3OotWjNJr9KKaUan1cuYY2PYyIRcEvy5ciHNE4Zz0BxAoyF8fkxbW3SXVS/\nACilVEOwA440YCoWIDYtaZ1eqpsZk9JotwjGgN8Pu98Pb74iq8BONbEr5gGDyWRwwyGsabPkZ9Ay\nYLUEmvwqpZSqn+oZfNvyY9o6MC1lmQ88kQE3eHm/2EgaLxrBBIL1jlgppdQ0tVYlZyTF8QRMjIPt\nA9cD24/V1obZezcMp6vJbwALMJUKZIchZ2PyhZq9H+ZMuJVaAE1+lVJK1c8VZ/CtZAqSKczIMAz1\nQzAoYzQqJYrDaSgVcXu3aGdQpZRqcJNJsRcMYYp5GB2Wvb7B8OXxdwFnqtM/4+MwnpUKn1gMBs5j\nSnm89ZtqJsBaBaQWQ5NfpZRSdTPnGfzObtxYTMrlbB9cuoBFGobSkJ/A3bFLE2CllGoCdsDB696A\nicUBCyvWIpdNm19rVVxMNCrHgnAIclnZ+lKqYAoF3JYERKJT151PM3aCbsaYm5Umv0oppepqrjP4\nvkgMIjHc82fAq2A8R0qg0wbeMLhdPTIveK59YUoppRqCHXAg2T7zwisaV1meB13rZJW4kJcVYlOB\noUvQfxGCDiYUwd2yA18iWfN+pifU5PN4TdAduRljbmaa/CqllGpsbSkYGsTNZ6QjtC8Al87L/7q6\nMV09eN0b9MuCUko1k1oz34sFaO8CD8iNQX4Cyp6MwRvsh4AP0oO4N96M1dk9+3N/WkLtGQ/Sg3ip\njsY+PlyH3avrSZNfpZRSDc0XieHuuBHfwEXZC+bzwegguBV4awT6+qQxypbtcgUtHVNKqYY3fduL\nCdpY4+OXS6DXb4BcK4wMQnYMzg5BpQAVSz7jj/wnJhrD3Xoj1sYts7pMe8aDkTSEwpiTx3F7Ns25\nWlx32r16Vdn1DmClHD16lGeeeabeYSillFoGVsAh1L0e1vdCpSwdQ8cykE7D+bfg7Tcx59/GDA5A\ntYTMK5fqHbZSSql52AEHOxaXkufq6ifVEmhfZzfW1nfAxm3QswGCEbADkM3ChbPw1pvw3X/GHH95\n6vPeDjjQmgTPg1AYhgakYujtE7gTuTo/2tqmYq7+qSduV9aaXfnds2cPe/bsqXcYSimllkOxgNUS\ng8514ITg9AkwrsyODEUh4JeRGf4MJhCARJuUz+mXiBV3/vx5/vEf/5FsNstNN93EfffdV++QlFLN\nZo7VTzvgQOc63FgLxOLQdw4msuDzQ7kox4M3X8bEE3gbpCu0HXDwUh2Yk8dlHy0Goi0wPITneXJf\nDUa7V6+eNZv8KqWUWkOCIaxKBcvvh9Y2zK23w49elbP6lge2A6UijAzJl6GxEczOW+oddcN7+umn\neemll0gkEjz55JNTlx87doxnn30Wz/O49957eeCBB+a8jQ0bNvCxj30Mz/O04koptShXm91rBRzM\n+o3SNCuWhFeOghWUk6ChCEzkMIMDuOHQVBNEt2cTvH1CEt9yGRwjlUH5PF6qfY5I1Fqnya9SSqmG\nZwccrHhcVnpjMh/SjbwHBi5BqQKOHybG5Yx+pSzlbvkJaNQ9Xg3irrvu4v777+fgwYNTl3mex1e/\n+lUef/xxUqkUjz32GHv27MHzPL72ta/NuP4jjzxCIpHg6NGjfPOb3+T+++9f7YeglFoj5lr9nOyG\nbPl94AQxN++GZBLeeFVWg6MxaElAPgulPGZsDLezC18iibtj59TIPCvgn2oqZQr5OjxC1Qg0+VVK\nKdUUbEf2hk3yRWKw+QZAvhyZixdkFJLfAcsC28Yrl3T/1Dx27tzJwMDAjMtOnjxJd3c3XV1dAOzd\nu5cjR47w4IMP8uijj9a8ncmtRl/84he54447VjxupdR1pMZIJPsdN+H2boH0EOCBZUO5ApWKzIY/\nfQp387apkXmTCfRkWbUVCkOpXO9HpupAk1+llFJNzw44eD3rMeEwjGcBA6Uipu8CbjAMAb/OA16g\n4eFhUqnU1M+pVIoTJ07M+fuvvfYazz//PJVKhVtvvXXO3zt06BCHDh0C4IknnqC9vXnLDv1+v8Zf\nR80ePzT/Y1jN+L14HDMyhPH7ZftLsh3bcYB22LgZr1TCzY7hDfbjeR7W2DCmox1/uYAv3lP9XfBS\n7ZhCHisUxolEaHea93igr58l3Hdd7lUppZRaZtIYpRt3JADDA1DIy57gUBBirZhiAS/VqQnwVRhj\nZl1mWdacv79r1y527dp11dvdt28f+/btm/p5aGhocQE2gPb2do2/jpo9fmj+x7Da8XseMuouGMLO\nZGr8hoUbicHpUxCodoSO2VgXz8+oGAKgVKbdcfT5r6OViL+np2dBv7dmRx0ppZS6TpVLMDEhJdCe\nJ3OB/T4physW6h1dw0ulUqTT6amf0+k0yeTy7J3WMYRKqcWYHIk018lLr1yScUnrN0IgCLEElmU3\nZGdnVV+68quUUmrN8MolSXDdsnT3DIbBCcrojFBYvwgtwLZt27h06RIDAwO0tbVx+PBhPv3pTy/L\nbesYQqXUcpvaz2s8OfGZbMPy+WSVWCt91BU0+VVKKbVmmFwWSgWIJaTbc1sHRKKA0T2/NTz11FMc\nP36cbDbLww8/zP79+7nnnnt46KGHOHDgAJ7ncffdd9Pb21vvUJVSqrZiQRLf3Jg0vhpNQ89G/bxX\nNTVd8lsoFPj85z/P/v37efe7313vcJRSSjUUA8aSMudwFCIRfMnU1a92nfrMZz5T8/Ldu3eze/fu\nZb+/o0eP8uKLL/Lxj3982W9bKXWdCoZgaFASX89ANCoVQJr8qhpWLfl9+umneemll0gkEjz55JNT\nlx87doxnn30Wz/O49957eeCBB+a9nW9961u8733vW+lwlVJKNSErFscUC7K/NxTGurLRiaorLXtW\nSi03O+DgdnbBYB9Eo7rXV81r1ZLfu+66i/vvv5+DBw9OXeZ5Hl/96ld5/PHHSaVSPPbYY+zZswfP\n8/ja17424/qPPPIIZ86cYcOGDZTLOpdLKaXUbHbAwUt1yll/3e+llFLXBV8khtezUT/71VWtWvK7\nc+dOBgYGZlx28uRJuru76erqAmDv3r0cOXKEBx98kEcffXTWbbz22msUi0XOnz+P4zjceuut2LY2\nrFZKKXWZHXC03K1BadmzUmql6Ge/Woi67vkdHh4mlbq8FyuVSnHixIk5f//DH/4wAP/xH/9BS0vL\nnInvoUOHOHToEABPPPFEQw+B1iHV9aOx108zx6+x10+zx6+07FkppVR91TX5NcbMusyyrKte7667\n7pr37/ft28e+ffumfm7kIdA6pLp+NPb6aeb4Nfb6aZT4e3p66h2CUkoppRahrjXDqVSKdDo99XM6\nnSaZTC7LbR89epRnnnlmWW5LKaWUUkoppVRzq2vyu23bNi5dusTAwACVSoXDhw8vWznUnj17dE+R\nUkop1UD0xLRSSql6WrWy56eeeorjx4+TzWZ5+OGH2b9/P/fccw8PPfQQBw4cwPM87r77bnp7e1cr\nJKWUUkqtIt3zq5RSqp5WLfn9zGc+U/Py3bt3s3v37mW/P+0oqZRSSimllFJqUl0bXq0kPbuslFJK\nKaWUUmrSmh2Sq/uKlFJKqcaix2allFL1pCu/SimllFoVemxWSilVT2t25VcppZRSSimllJqkya9S\nSimllFJKqTXPMsaYegexErTbs1JKKaWUUkqpSWt25XfPnj1Nkfg++uij9Q5hSZo5fo29fpo5fo29\nfpo9fnVZs/9bavz11ezxQ/M/Bo2/vjT+xVuzya9SSimllFJKKTVJk1+llFJKKaWUUmue73d+53d+\np95BXO+2bt1a7xCWpJnj19jrp5nj19jrp9njV5c1+7+lxl9fzR4/NP9j0PjrS+NfnDXb8EoppZRS\nSimllJqkZc9KKaWUUkoppdY8f70DuJ6USiU+//nPU6lUcF2X22+/nf379zMwMMBTTz1FLpdjy5Yt\n/Nqv/Rp+f2P90wwNDXHw4EFGR0exLIt9+/bxoQ99iNOnT/Nnf/ZnlEolfD4fv/qrv8r27dvrHe4M\nc8UO8E//9E/88z//Mz6fj927d/OLv/iLdY52tvniB/iHf/gH/uqv/oqvfOUrxOPxOkY621yxP/fc\nc7z44ov4/X66urr4xCc+QTQarXe4M8wVey6X48tf/jKDg4N0dHTw67/+68RisXqHO8vTTz/NSy+9\nRCKR4MknnwRoivcr1I4dmuP9er1b6nHuG9/4Bt/5znewbZtf+ZVf4ZZbblnV+Od633/5y1/m4sWL\nAExMTBCJRPjSl7406/qf/OQnCYVC2LaNz+fjiSeeaIj4/+7v/o5/+7d/mzpGfPjDH2b37t2zrn/s\n2DGeffZZPM/j3nvv5YEHHmiI+Bd6zGjU53+hx43/+I//4Otf/zoAP/MzP8Ndd921qvFD7c/fZnn9\nQ+34m+X1D7Xjb5bXP9SOv+Fe/0atGs/zTD6fN8YYUy6XzWOPPWZ+9KMfmSeffNL813/9lzHGmGee\necb8y7/8Sz3DrGl4eNicOnXKGGPMxMSE+fSnP23OnTtnfu/3fs+89NJLxhhjXnzxRfP5z3++jlHW\nNlfsr7zyivnd3/1dUyqVjDHGjI6O1jPMOc0VvzHGDA4Omi984QvmkUceMWNjY/UMs6a5Yj927Jip\nVCrGGGOee+4589xzz9UzzJrmiv25554z3/jGN4wxxnzjG99oyNiNMea1114zp06dMp/97GenLmuG\n96sxtWNvlvfr9W4px7lz586Z3/iN3zClUsn09/ebT33qU8Z13VWNf77P20l/8Rd/Yf7+7/++5vU/\n8YlP1PWzeK74//Zv/9Z861vfmve6ruuaT33qU6avr8+Uy2XzG7/xG7Me+0pb6jGjUZ//hRw3gToe\nrgAAFGlJREFUstms+eQnP2my2eyM/15ttT5/p2vk178xteNvlte/MbXjb5bXvzG142+017+WPa8i\ny7IIhUIAuK6L67pYlsVrr73G7bffDsBdd93FkSNH6hlmTclkcmpjejgcZv369QwPD2NZFvl8HpCz\ngclksp5h1jRX7N/+9rf56Z/+aQKBAACJRKKeYc5prvgB/uIv/oJf+IVfwLKseoY4p7lif9e73oXP\n5wNgx44dU4+nkcwV+5EjR/jABz4AwAc+8IGGfL8C7Ny5c9aZ1WZ4v0Lt2Jvl/Xq9W8px7siRI+zd\nu5dAIEBnZyfd3d2cPHlyVeOf7/MWwBjDf//3f/P+979/VeNaqKvFP5+TJ0/S3d1NV1cXfr+fvXv3\nrvrnWzMfM2Bpx41jx45x8803E4vFiMVi3HzzzRw7dmxV44fan7+TGv31D/PHP59GeP1D7fib5fUP\nteNvtNd/Y9XWXgc8z+Nzn/scfX19fPCDH6Srq4tIJDL1om5ra2voFzXAwMAAb7/9Ntu3b+cjH/kI\nBw4c4LnnnsPzPL7whS/UO7x5TY/9ueee44033uBv/uZvCAQC/NIv/VJDloBONz3+o0eP0tbWxubN\nm+sd1oJMj32673znO+zdu7dOUS3M9NjHxsamksZkMkkmk6lzdAvXbO/X6S5dutR079fr1WKPc8PD\nw9xwww1TP9f7eFjrM+v1118nkUiwbt26Oa934MABAH7iJ36Cffv2rXicc5ke/xtvvMG//Mu/8L3v\nfY+tW7fyy7/8y7O+oA4PD5NKpaZ+TqVSnDhxYrXDnrLYY0YjPv8LOW5c+fzX+/VfSzO9/q/UbK//\nuTTL63+6Rnv9a/K7ymzb5ktf+hLj4+P8wR/8ARcuXKh3SNekUCjw5JNP8tGPfpRIJMLf/M3f8JGP\nfITbb7+dw4cP8yd/8if81m/9Vr3DrOnK2D3PI5fLceDAAU6dOsWXv/xl/uiP/qhhV1Gnx+/z+fj6\n17/O448/Xu+wFuTK537S17/+dXw+H3feeWcdo5vfXLE3o29/+9tN8369UrO9X69niz3OmQYaPjHX\n+/773//+vKtev/d7v0dbWxtjY2N84QtfoKenh507d65GyDNcGf99993Hz/3czwHwt3/7t/zlX/4l\nn/jEJ2Zcp9bzX6/312KPGY36/C9Wo32+Ncvr/0rN9vqfS7O8/pfLSj3/WvZcJ9FolJ07d3LixAkm\nJiZwXReQMx9tbW11jq62SqXCk08+yZ133sl73/teAL773e9O/ff73ve+VS9RW6hasbe1tfHe974X\ny7LYvn07tm2TzWbrHGltV8bf39/PwMAAv/mbv8knP/lJ0uk0n/vc5xgdHa13qLPUeu5BGhu8+OKL\nfPrTn264A8ykWrEnEglGRkYAGBkZabgmY/NplvdrLc30flXiWo9zqVSKdDo99XO9jodzfWa5rssL\nL7ww76rLZLyJRILbbrutLu+xWvG3trZi2za2bXPvvfdy6tSpWde78vlPp9N12RqxlGNGoz7/Czlu\ntLW1zXr9N9LWlGZ5/dfSTK//uTTL67+WRnv9a/K7ijKZDOPj44B0xHzllVdYv349u3bt4n/+538A\neXHv2bOnnmHWZIzhT/7kT1i/fj0/+ZM/OXV5W1sbx48fB+DVV1+lu7u7XiHOaa7Yb7vtNl599VUA\nLl68SKVSoaWlpV5hzqlW/Bs3buQrX/kKBw8e5ODBg6RSKX7/93+f1tbWOkc701zP/bFjx/jWt77F\n5z73OYLBYB0jnNtcse/Zs4fvfve7gCSTt912W71CvGbN8H6dS7O8X693SznO7dmzh8OHD1MulxkY\nGODSpUurXto+1/se4JVXXqGnp2dGad50hUJhak99oVDg5ZdfZuPGjSse83RzxT/5xRPghRdeoLe3\nd9Z1t23bxqVLlxgYGKBSqXD48OFV/z6ylGNGIz//Czlu3HLLLfzwhz8kl8uRy+X44Q9/uOrdzufT\nDK//uTTL638uzfL6n0ujvf4t00h1RmvcmTNnOHjwIJ7nYYzhfe97Hz/3cz9Hf3//rBEQk01dGsUb\nb7zBb//2b7Nx48apM04f/vCHiUQiU23hA4EAv/qrvzrV7KFRzBX7zTffzNNPP82ZM2fw+/380i/9\nEu985zvrHO1sc8U/vU3/Jz/5Sb74xS823CrkXLE/++yzVCqVqT03N9xwAx/72MfqGeosc8V+ww03\n8OUvf5mhoSHa29v57Gc/25Cjjp566imOHz9ONpslkUiwf/9+enp6Gv79CrVj//Ef//GmeL9e7671\nOHf06FFOnTrFz//8zwNS1vfv//7v2LbNRz/6UW699dZVjX++z9uDBw9yww03cN999039/vDwMM88\n8wyPPfYY/f39/MEf/AEgq2R33HEHP/MzP9MQ8X//+9/n9OnTWJZFR0cHH/vYx0gmkzPih/+/vbuP\nqar+Azj+5gBHQOVRJAVTFCFzaerECwqC1lTyYVI5rBTm89Omm0pOt8pqzIdVGmppPGu6qQlOaDMf\n4ooJ0xQ3BVpImQJa0BWRZ+Xe3x/kWVe5iP0UBD+vjY1zz/ec7+cczvjczznfcw5cuHCB5ORkjEYj\noaGhz0z8lnJGR9n/lvJGUVERx44dY9GiRUDT/ZypqalA06teQkND2zR+aP7/77hx4zrE8W8p/ry8\nvA5x/FuKPzU1tUMc/5biHzly5DN1/EvxK4QQQgghhBCi05Nhz0IIIYQQQgghOj0pfoUQQgghhBBC\ndHpS/AohhBBCCCGE6PSk+BVCCCGEEEII0elJ8SuEEEIIIYQQotOT4lcI0Wp79+4lIyOjvcN4Ku7e\nvcuKFSu4fft2e4cihBBCPDVtnctnzJjBzZs3AUhOTuaHH35os76FeJBNewcgRHtaunQpFRUVKIqC\njY0Nvr6+zJ8/nx49epi1279/PwcPHiQmJgYfHx/t83v37rF3717OnDlDdXU1jo6OjBw5kqioKKDp\nnX979uzh+vXrKIqCl5cXkZGRZuvoKCorK9Hr9cTGxrZL/x999BFBQUGMHz/+qazf1taW0NBQDh8+\nzOzZs59KH0IIIZ48yeWt92Auz8vLIzY2lq+//rpVyz9u+wdNnTqVtWvXMm7cOGxspAwRbU+OOvHc\ne//99xkyZAgNDQ3ExcWRkJBAdHS0Nt9kMpGVlUW3bt3IzMw0S3apqakUFRURExODi4sLZWVlFBQU\nAFBTU8OGDRuYN28egYGB3Lt3j4KCAmxtbVsVV2NjI9bW1k92Y/8PmZmZDBs2DFVV27Rfk8nEk3gd\neWv255gxY4iOjmbmzJmt/jsJIYRof5LLW6e9cvl9Li4u9O7dm59//hmdTtcuMYjnmxS/QvxDVVV0\nOh3JyclmnxcUFGAwGFi4cCFJSUlERUVpZyuLiorw9/fH1dUVgJ49e9KzZ08Abty4ATQVVPfXP3To\nUIv979+/n+vXr2Nra8v58+eZPXv2Q1c5t2/fTpcuXfjrr78oKCigX79+rFy5krS0NPR6PU5OTixf\nvhxvb28A0tLSOHHiBLdv38bNzY2ZM2fi7+8PgNFoZM+ePej1euzs7JgyZQoJCQns27ev2USdm5tL\naGioNl1VVcW2bdsoLCzEaDTi5+fH/PnzcXNzA5qu1Pr6+nLp0iVKS0sZPHgwS5YsoVu3bgD8+uuv\npKSkUFxcjLu7O1FRUQwePFhb1s/Pj/z8fH777TdGjRpFQUEBhYWFJCUlERISwpQpU1i2bJlZvP++\nOpyZmcmJEycYMGAAer2eCRMmEBERwcmTJzly5AgVFRX4+PiwYMEC3N3dAXBzc6Nr164UFhby8ssv\nt3C0CCGEeBZJLm99Lq+rqyMmJoZ79+4xa9YsALZu3Ur37t359ttvyc7OBiAgIIB3332XxsbGZtsb\nDAYSExMpKSlBVVVGjRpFZGSkxSu7gwcP5sKFC1L8inYh9/wK8Y/6+nrOnDnDwIEDzT7X6/WMGDGC\nwMBAAM6fP6/NGzhwIOnp6Rw9epRr166ZXaHs1asXiqKwbds2cnNzqaqqemQM98+EJiYmEhQU1Gyb\n7OxsIiIiiI+Px8bGhnXr1uHt7U18fDw6nY6UlBStrYeHB+vXrycpKYm3336b2NhYbt26BcDx48fJ\nzc1l06ZNbNy4kXPnzrUY27Vr1+jdu7c2bTKZCAkJYceOHezYsQNVVYmPj39o3y1evJidO3eiKAoJ\nCQkAGAwGNmzYQHh4OAkJCcyaNYvPPvuMyspKbdlTp06xYMECUlJSWLJkCYMGDWLOnDns3r2buXPn\nPnJfAhQWFuLh4UFcXBzh4eGcPXuW1NRUVq5cSVxcHC+99BJbt241W8bT05OrV6+2av1CCCGeLZLL\nW5/L7ezsWLt2LS4uLuzevZvdu3fj6urKoUOHKCwsZNOmTWzevJkrV67w3XffWWyvKAqRkZHEx8fz\n6aefcvnyZY4ePWoxBk9PT/74449H7kchngYpfsVzb/PmzURFRREZGcmlS5eYOnWqNq++vp6cnBzG\njBmDjY0NOp0OvV6vzZ8+fTrTpk3j9OnTrFmzhkWLFpGZmQmAg4MDH3/8MVZWVuzcuZN58+axceNG\nKioqLMbi6+uLv78/iqJYHJI0cuRI+vfvj6qq+Pv7o6oqY8eORVEUAgMD+f3337W2AQEBWmIKDAzk\nhRde4MqVK0BT4g0LC8PNzY1u3boxbdq0FvdTTU0N9vb22nT37t3R6XR06dIFe3t7wsPDtWFi9wUH\nB/Piiy9iZ2dHREQE2dnZGI1GTp06xbBhwxg+fDiKojBkyBAGDBjAhQsXtGVDQkLo06cP1tbW//m+\nIBcXFyZNmoS1tTWqqnL8+HGmT5+Ol5cX1tbWTJ8+natXr1JWVqYtY29vT01NzX/qTwghRPuQXP7f\ncnlzTp8+zZtvvomTkxOOjo689dZbZGVlWWzfv39/fH19sba2pmfPnrz22mvk5+dbbG9vb091dXWL\nMQjxtMiwZ/HcW716NUOGDMFoNHLu3Dk+/PBDvvjiC5ydnTl79iyKojB8+HCgadjTJ598QmVlJY6O\njiiKwsSJE5k4cSINDQ2cPHmSr776Ch8fH7y8vPDy8mLp0qUAlJSUEBsbS1JSEitWrGg2lvtDhlvi\n7Oys/a6qKk5OTmbTdXV12rReryc9PV0r7urq6rhz5w4At27dMuvvwQeDPKhr167U1tZq0/X19SQn\nJ3Px4kUtidXW1mI0GlEU5aHt6dGjB42NjVRWVlJeXk5OTo7ZmffGxkZt2HNr98WjPLhNZWVlJCYm\nmp1RN5lMGAwGbehzbW0tDg4O/3ffQggh2o7k8iaPm8ub8++cCODu7o7BYLDYvrS0lJSUFIqKimho\naKCxsZH+/ftbbF9bW0vXrl1bjEGIp0WKXyH+oSgKo0aNYteuXfzyyy/ameG6ujoWL16stWtsbOT0\n6dOEhYWZLa+qKhMnTuTAgQMUFxfj5eVlNt/T05OQkBCOHTvWJttTVlbGzp07+eCDD/D19UVRFFav\nXq0N53JxcTFLZuXl5S2ur2/fvty4cUN7SMiRI0coLS0lJiYGZ2dnrl69SnR0tNlwsb///tts/dbW\n1jg6OuLm5kZQUBCLFi2y2J+VlVWL03Z2dkBTEX6/WG3pTDw0fSkIDw+3OAwNmr7YTJkypcX1CCGE\neDZJLn+8XP5gbgVwdXWlrKyMPn36aOu8fz90c+3j4uLo168fy5cvx97enoyMDHJycizGUFJSQt++\nfR+x5UI8HTLsWYh/mEwmzp07R3V1NZ6enhgMBi5dusSaNWvYvHmz9jNt2jRtuFRGRgZ5eXnamc7M\nzExqa2vx9vampKSEI0eOaAVgeXk5P/3000P3IT0t9fX1WFlZ4ejoCMCPP/7I9evXtfkBAQF8//33\nGAwGqqurOXz4cIvrGzZsmNkwprq6OlRVxcHBgaqqKg4cOPDQMllZWRQXF1NfX8/+/fvR6XQoikJQ\nUBDnz5/n4sWLGI1GGhoayMvLMyuWH+Tk5MSff/6pTTs6OuLq6kpWVhZGo5GTJ0+azW/O66+/Tlpa\nmrYfampqtAd6QNPZ7qqqqjb7GwkhhHiyJJc/Xi53cnLizp07Zrf7jB49mkOHDlFZWUllZSUHDx7U\nTho31/7+iCk7OztKSkoe+R7f/Px8Xn311dbvBCGeILnyK557GzduRFEUrKyscHd3Z+nSpfTp04e0\ntDT69ev30FMdJ02aRHp6OteuXUNVVVJSUrh58yZWVlb06tWLlStX4uHhgcFgoLCwkPT0dGpqanBw\ncGDEiBG89957bbJdXl5eTJ48mXXr1qEoCsHBwfj5+Wnzx48fT2lpKatWrcLe3p5JkyaRn5+vDVl+\nUHBwMNHR0TQ0NKCqKmFhYXz55ZfMnTsXV1dXJk+e/NCDNoKDg9m+fTulpaUMGjSIJUuWAE1XYKOj\no9mzZw9bt25FURR8fHyYP3++xe0JCwtj+/btHDt2jKCgIObMmcPChQuJi4tj3759jBs3Dl9f3xb3\nib+/P3V1dWzZsoXy8nIcHBx45ZVXCAgIAJrucxo7dqy85kgIIToYyeX/LZd7enoyevRoli1bhtFo\n5PPPPyc8PJyamhpWrVoFgE6nIzw8HKDZ9rNmzWLXrl0cPnwYb29vAgMDuXz5crP937p1i+LiYu1p\n1UK0NSvTk3iBphCiw8vNzeWbb75hx44dFtvs3bsXJycn3njjjUeu79+vHeoI7t69y+rVq1m/fr3Z\nvVdCCCFER/Gkc/mTlpKSgoeHBxMmTGjzvoUAufIrxHOroaGBy5cvM3ToUG7fvs3BgwcfeSb2nXfe\naaPo2p6trS1btmxp7zCEEEKIVutouXz27Nnt1rcQIMWvEM8tk8nEgQMH2LJlC6qqMnz4cGbMmNHe\nYQkhhBCilSSXC/F4ZNizEEIIIYQQQohOT572LIQQQgghhBCi05PiVwghhBBCCCFEpyfFrxBCCCGE\nEEKITk+KXyGEEEIIIYQQnZ4Uv0IIIYQQQgghOj0pfoUQQgghhBBCdHr/A8jaGlYYgDZYAAAAAElF\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8ed9a2f9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BASS z mag (aperture)\n",
      "    Error max: 179\n",
      "    magerr > 10: Number of objects = 22, min mag = 26.1\n",
      "    magerr > 100: Number of objects = 3, min mag = 28.6\n",
      "    magerr > 1000: Number of objects = 0, min mag = nan\n",
      "\n",
      "BASS z mag (total)\n",
      "    Error max: 107\n",
      "    magerr > 10: Number of objects = 13, min mag = 20.6\n",
      "    magerr > 100: Number of objects = 1, min mag = 29.4\n",
      "    magerr > 1000: Number of objects = 0, min mag = nan\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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ulVrPW8t1v1IluSw0tUAyYUqJxsdN80jeuOjtFQpYfh9esYCXy0DKP/U1DaWK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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8ed9a23a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WFCAM J mag (aperture)\n",
      "    Error max: 1\n",
      "    magerr > 10: Number of objects = 0, min mag = nan\n",
      "    magerr > 100: Number of objects = 0, min mag = nan\n",
      "    magerr > 1000: Number of objects = 0, min mag = nan\n",
      "\n",
      "WFCAM J mag (total)\n",
      "    Error max: 2\n",
      "    magerr > 10: Number of objects = 0, min mag = nan\n",
      "    magerr > 100: Number of objects = 0, min mag = nan\n",
      "    magerr > 1000: Number of objects = 0, min mag = nan\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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OhoaGGBoaWullLCs3GiPI98NMwRpGtVrQN4Abi9nXhDixOFxxFWEiDk/vhWgc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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8ed30d9438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for mag in all_mags:\n",
    "    fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(16, 6))\n",
    "    \n",
    "    basecol = mag.replace(\" \", \"_\").lower()\n",
    "    \n",
    "    if basecol == \"bass_g\":\n",
    "        savefig = True\n",
    "    else:\n",
    "        savefig=False\n",
    "        \n",
    "    col, ecol = \"m_ap_{}\".format(basecol), \"merr_ap_{}\".format(basecol)\n",
    "    mag_vs_err(master_catalogue[col], master_catalogue[ecol], fig, ax1,\n",
    "               labels=(\"{} mag (aperture)\".format(mag), \"{} magerr (aperture)\".format(mag)), savefig=False)\n",
    "\n",
    "    \n",
    "    col, ecol = \"m_{}\".format(basecol), \"merr_{}\".format(basecol)\n",
    "    mag_vs_err(master_catalogue[col], master_catalogue[ecol], fig, ax2,\n",
    "               labels=(\"{} mag (total)\".format(mag), \"{} magerr (total)\".format(mag)), savefig=savefig)\n",
    "    \n",
    "    display(fig)\n",
    "    plt.close()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2/ Magnitude and error issues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def flag_mag(mask, x1, y1, x2, y2, mask2=None, x3=None, y3=None, mask3=None,\n",
    "             labels1=(\"x\", \"y\"), labels2=(\"x\", \"y\"), labels3=(\"x\", \"y\"), nb=2,\n",
    "             savefig=False):\n",
    "\n",
    "    if nb == 2 or (nb == 1 and x3 is None):\n",
    "        fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(16, 6))\n",
    "    else:\n",
    "        fig, (ax1, ax2, ax3) = plt.subplots(ncols=3, figsize=(16, 6))\n",
    "    \n",
    "    # mag vs magerr\n",
    "    ax1.set_yscale('log')    # to place before scatter to avoid issues\n",
    "    ax1.scatter(x1, y1, marker='.', alpha=0.1, s=50)\n",
    "    ax1.plot(x1[mask], y1[mask], 'b.')\n",
    "    if mask2 is not None and nb >= 2:\n",
    "        ax1.plot(x1[mask2], y1[mask2], 'g.')\n",
    "    ax1.invert_xaxis()\n",
    "    ax1.set_xlabel(labels1[0])\n",
    "    ax1.set_ylabel(labels1[1])\n",
    "    \n",
    "    if nb == 1:\n",
    "        # IRAC mag or PanSTARRS with no other survey to compare\n",
    "        ax2.set_yscale('log')    # to place before scatter to avoid issues\n",
    "        ax2.scatter(x2, y2, marker='.', alpha=0.1, s=50)\n",
    "        ax2.plot(x2[mask2], y2[mask2], 'b.')\n",
    "        ax2.invert_xaxis()\n",
    "        ax2.set_xlabel(labels2[0])\n",
    "        ax2.set_ylabel(labels2[1])\n",
    "        \n",
    "    if nb == 1 and x3 is not None:\n",
    "        # IRAC mag with i3\n",
    "        ax3.set_yscale('log')    # to place before scatter to avoid issues\n",
    "        ax3.scatter(x3, y3, marker='.', alpha=0.1, s=50)\n",
    "        ax3.plot(x3[mask3], y2[mask3], 'b.')\n",
    "        ax3.invert_xaxis()\n",
    "        ax3.set_xlabel(labels3[0])\n",
    "        ax3.set_ylabel(labels3[1])\n",
    "    \n",
    "    # Comparing magnitudes\n",
    "    if nb >= 2:\n",
    "        ax2.scatter(x2, y2, marker='.', alpha=0.1, s=50)\n",
    "        ax2.plot(x2[mask], y2[mask], 'b.')\n",
    "        if mask2 is not None:\n",
    "            ax2.plot(x2[mask2], y2[mask2], 'g.')\n",
    "        ax2.invert_xaxis()\n",
    "        ax2.invert_yaxis()\n",
    "        ax2.set_xlabel(labels2[0])\n",
    "        ax2.set_ylabel(labels2[1])\n",
    "    \n",
    "    if nb >= 3:\n",
    "        ax3.scatter(x3, y3, marker='.', alpha=0.1, s=50)\n",
    "        ax3.plot(x3[mask], y3[mask], 'b.')\n",
    "        if mask2 is not None:\n",
    "            ax3.plot(x3[mask2], y3[mask2], 'g.')\n",
    "        ax3.invert_xaxis()\n",
    "        ax3.invert_yaxis()\n",
    "        ax3.set_xlabel(labels3[0])\n",
    "        ax3.set_ylabel(labels3[1])\n",
    "    \n",
    "    # Save ex. fig\n",
    "    if savefig:\n",
    "        survey_label = ((labels1[0].replace(\" \", \"_\")).replace(\"(\", \"\")).replace(\")\", \"\")\n",
    "        if \"GPC1 \" in labels1[0]:\n",
    "            figname = field + \"_gpc1Issues_\" + survey_label + \".png\"\n",
    "        elif \"DECam\" in labels1[0]:\n",
    "            figname = field + \"_decamIssues_\" + survey_label + \".png\"\n",
    "        elif \"IRAC\" in labels1[0]:\n",
    "            figname = field + \"_iracIssues_i1_i2.png\"\n",
    "        plt.savefig(\"/data/help/plots/\" + figname, bbox_inches='tight')\n",
    "        \n",
    "    display(fig)\n",
    "    plt.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.a Pan-STARRS Aperture and Total magnitudes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.c IRAC Aperture magnitude"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3/ Outliers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$$chi^2 = \\frac{(mag_{1}-mag_{2})^2}{magerr_{1}^2 + magerr_{2}^2}$$ \n",
    "<br>\n",
    "__Interquartile range (IQR) and outliers:__<br>\n",
    "We consider as outliers objects which have a high $chi^2$, about $5\\sigma$ away from the mean.<br>\n",
    "$25th, 75th \\;percentile = 0.6745\\sigma$<br>\n",
    "$IQR = (75th \\;percentile - 25th \\;percentile) = 0.6745\\sigma * 2 = 1.349\\sigma$<br>\n",
    "$75th \\;percentile + 3.2\\times IQR = 0.6745\\sigma + 3.2\\times1.349\\sigma = 5\\sigma$\n",
    "<br><br>\n",
    "$$outliers == [chi^2 >  (75th \\;percentile + 3.2\\times (75th \\;percentile - 25th \\;percentile))]$$\n",
    "<br><br>\n",
    "__NB:__<br>\n",
    "Bright sources tend to have their errors underestimated with values as low as $10^{-6}$, which is unrealistic. So to avoid high $chi^2$ due to unrealistic small errors, we clip the error to get a minimum value of 0.1% (i.e. all errors smaller then $10^{-3}$ are set to $10^{-3}$)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def outliers(x, y, xerr, yerr, labels=[\"x\", \"y\"], savefig=False):\n",
    "    \n",
    "    import matplotlib\n",
    "    import matplotlib.gridspec as gridspec\n",
    "    from astropy import visualization as vz\n",
    "    \n",
    "    fig = plt.figure(figsize=(13, 6))\n",
    "\n",
    "    gs1 = gridspec.GridSpec(1, 1)\n",
    "    gs1.update(left=0.05, right=0.4, wspace=0.05)\n",
    "    ax1 = plt.subplot(gs1[:, :-1])\n",
    "\n",
    "    gs2 = gridspec.GridSpec(1, 3)\n",
    "    gs2.update(left=0.47, right=0.98, hspace=0.05, wspace=0.05)\n",
    "    ax2 = plt.subplot(gs2[:, :-1])\n",
    "    ax3 = plt.subplot(gs2[:, -1], sharey=ax2)\n",
    "\n",
    "    \n",
    "    # Use only finite values\n",
    "    mask = np.isfinite(x) & np.isfinite(y) & np.isfinite(xerr) & np.isfinite(yerr)\n",
    "    x = np.copy(x[mask])\n",
    "    y = np.copy(y[mask])\n",
    "    xerr = np.copy(xerr[mask])\n",
    "    yerr = np.copy(yerr[mask])\n",
    "    \n",
    "    # mag1 - mag2\n",
    "    diff = y - x\n",
    "\n",
    "    x_label, y_label = labels\n",
    "    \n",
    "    # If the difference is all NaN there is nothing to compare.\n",
    "    if np.isnan(diff).all():\n",
    "        print(\"No sources have both {} and {} values.\".format(\n",
    "            x_label, y_label))\n",
    "        print(\"\")\n",
    "        return\n",
    "    \n",
    "    # Set the minimum error to 10^-3\n",
    "    np.clip(xerr, 1e-3, np.max(xerr), out=xerr)\n",
    "    np.clip(yerr, 1e-3, np.max(yerr), out=yerr)\n",
    "\n",
    "    # Median, Median absolute deviation and 1% and 99% percentiles\n",
    "    diff_median = np.median(diff)\n",
    "    diff_mad = np.median(np.abs(diff - diff_median))\n",
    "    diff_1p, diff_99p = np.percentile(diff, [1., 99.])\n",
    "    diff_25p, diff_75p = np.percentile(diff, [25., 75.])\n",
    "    \n",
    "    \n",
    "    diff_label = \"{} - {}\".format(y_label, x_label)\n",
    "\n",
    "    print(\"{} ({} sources):\".format(diff_label, len(x)))\n",
    "    print(\"- Median: {:.2f}\".format(diff_median))\n",
    "    print(\"- Median Absolute Deviation: {:.2f}\".format(diff_mad))\n",
    "    print(\"- 1% percentile: {}\".format(diff_1p))\n",
    "    print(\"- 99% percentile: {}\".format(diff_99p))\n",
    "\n",
    "    \n",
    "    # Chi2 (Normalized difference)   \n",
    "    ichi2 = np.power(diff, 2) / (np.power(xerr, 2) + np.power(yerr, 2))\n",
    "    \n",
    "    # Use only non-null values of ichi2\n",
    "    mask2 = ichi2 != 0.0\n",
    "    diff, ichi2 = np.copy(diff[mask2]), np.copy(ichi2[mask2])\n",
    "    x, y, xerr, yerr = np.copy(x[mask2]), np.copy(y[mask2]), np.copy(xerr[mask2]), np.copy(yerr[mask2])\n",
    "\n",
    "    # Outliers (5sigma)\n",
    "    log_ichi2_25p, log_ichi2_75p = np.percentile(np.log10(ichi2), [25., 75.])\n",
    "    out_lim = log_ichi2_75p + 3.2*abs(log_ichi2_25p-log_ichi2_75p)\n",
    "    \n",
    "    outliers = np.log10(ichi2) > out_lim \n",
    "    nb_outliers = len(x[outliers])\n",
    "    \n",
    "    print(\"Outliers separation: log(chi2) = {:.2f}\".format(out_lim))\n",
    "    print(\"Number of outliers: {}\".format(nb_outliers))\n",
    "\n",
    "    print(\"\")\n",
    "\n",
    "    # Comparing mag\n",
    "    ax1.scatter(x, y, marker='.', alpha=0.1, s=50)\n",
    "    ax1.scatter(x[outliers], y[outliers], marker='.', c='b', alpha=0.3, s=50, label='Outliers ({})'.format(nb_outliers))\n",
    "    min_val = np.min(np.r_[x, y])\n",
    "    max_val = np.max(np.r_[x, y])\n",
    "    ax1.autoscale(False)\n",
    "    ax1.plot([min_val, max_val], [min_val, max_val], \"k:\")\n",
    "    ax1.invert_xaxis()\n",
    "    ax1.invert_yaxis()\n",
    "    ax1.set_xlabel(x_label)\n",
    "    ax1.set_ylabel(y_label)\n",
    "    ax1.legend(loc='lower right', numpoints=1)\n",
    "    \n",
    "\n",
    "    # Chi2 vs Diff\n",
    "    #ax1.set_yscale('log')    # to place before scatter to avoid issues\n",
    "    ax2.scatter(diff, np.log10(ichi2), marker='.', alpha=0.1, s=50)\n",
    "    if nb_outliers != 0:\n",
    "        ax2.scatter(diff[outliers], np.log10(ichi2[outliers]), marker='.', alpha=0.3, s=50, color='b',\\\n",
    "                    label='Outliers ({})'.format(nb_outliers))\n",
    "    ax2.axhline(out_lim, color='grey', linestyle=':')\n",
    "    ax2.set_xlabel(diff_label)\n",
    "    ax2.set_ylabel('log(chi2)')\n",
    "    ax2.legend(loc='lower right', numpoints=1)\n",
    "    \n",
    "    # Hist\n",
    "    n, bins, patches = vz.hist(np.log10(ichi2), ax=ax3, bins='knuth', facecolor='red', lw = 2, alpha=0.5,\\\n",
    "                                   orientation=\"horizontal\")\n",
    "    if nb_outliers > 3:\n",
    "        n, bins, patches = vz.hist(np.log10(ichi2[outliers]), ax=ax3, bins='knuth', facecolor='b', lw = 2, alpha=0.7,\\\n",
    "                                   orientation=\"horizontal\")\n",
    "    ax3.axhline(out_lim, color='grey', linestyle=':')\n",
    "    ax3.yaxis.set_tick_params(labelleft=False)\n",
    "    \n",
    "    # Save ex. fig\n",
    "    if savefig:\n",
    "        survey_label = ((diff_label.replace(\" \", \"_\")).replace(\"(\", \"\")).replace(\")\", \"\")\n",
    "        figname = field + \"_outliers_\" + survey_label + \".png\"\n",
    "        plt.savefig(\"/data/help/plots/\" + figname, bbox_inches='tight')\n",
    "\n",
    "\n",
    "    display(fig)\n",
    "    plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "for band_of_a_kind in all_bands:\n",
    "    for band1, band2 in itertools.combinations(band_of_a_kind, 2):\n",
    "\n",
    "        basecol1, basecol2 = band1.replace(\" \", \"_\").lower(), band2.replace(\" \", \"_\").lower()\n",
    "        \n",
    "        if basecol1 == \"gpc1_g\" and basecol2 == \"megacam_g\":\n",
    "            savefig = True\n",
    "        else:\n",
    "            savefig = False\n",
    "        \n",
    "        # Aperture mag\n",
    "        col1, col2 = \"m_ap_{}\".format(basecol1), \"m_ap_{}\".format(basecol2)\n",
    "        ecol1, ecol2 = \"merr_ap_{}\".format(basecol1), \"merr_ap_{}\".format(basecol2)\n",
    "        outliers(master_catalogue[col1], master_catalogue[col2],\n",
    "                 master_catalogue[ecol1], master_catalogue[ecol2],\n",
    "                 labels=(\"{} (aperture)\".format(band1), \"{} (aperture)\".format(band2)))\n",
    "        \n",
    "        # Tot mag\n",
    "        col1, col2 = \"m_{}\".format(basecol1), \"m_{}\".format(basecol2)\n",
    "        ecol1, ecol2 = \"merr_{}\".format(basecol1), \"merr_{}\".format(basecol2)\n",
    "        outliers(master_catalogue[col1], master_catalogue[col2], \n",
    "                 master_catalogue[ecol1], master_catalogue[ecol2],\n",
    "                 labels=(\"{} (total)\".format(band1), \"{} (total)\".format(band2)), savefig=savefig)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Aperture correction issues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def apcor_check(x, y, stellarity, labels=[\"x\", \"y\"], savefig=False):\n",
    "    import matplotlib.gridspec as gridspec\n",
    "    from astropy import visualization as vz\n",
    "    \n",
    "    #fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(16, 6))   # \n",
    "    fig = plt.figure(figsize=(13, 6))\n",
    "\n",
    "    gs1 = gridspec.GridSpec(1, 1)\n",
    "    gs1.update(left=0.05, right=0.4, wspace=0.05)\n",
    "    ax1 = plt.subplot(gs1[:, :-1])\n",
    "\n",
    "    gs2 = gridspec.GridSpec(1, 3)\n",
    "    gs2.update(left=0.47, right=0.98, hspace=0.05, wspace=0.05)\n",
    "    ax2 = plt.subplot(gs2[:, :-1])\n",
    "    ax3 = plt.subplot(gs2[:, -1], sharey=ax2)\n",
    "\n",
    "    \n",
    "    # Use only finite values\n",
    "    mask = np.isfinite(x) & np.isfinite(y) & np.isfinite(stellarity)\n",
    "    x = np.copy(x[mask])\n",
    "    y = np.copy(y[mask])\n",
    "    stellarity = np.copy(stellarity[mask])\n",
    "\n",
    "\n",
    "    diff = y - x\n",
    "\n",
    "    x_label, y_label = labels\n",
    "    \n",
    "    # If the difference is all NaN there is nothing to compare.\n",
    "    if np.isnan(diff).all():\n",
    "        print(\"No sources have both {} and {} values.\".format(\n",
    "            x_label, y_label))\n",
    "        print(\"\")\n",
    "        return\n",
    "    \n",
    "    \n",
    "    diff_label = \"{} - {}\".format(y_label, x_label)\n",
    "    print(\"{}:\".format(diff_label))\n",
    "    \n",
    "    # Subsample\n",
    "    zoom = (x > 16) & (x < 20)\n",
    "\n",
    "\n",
    "    # Comparing mag\n",
    "    ax1.scatter(x, diff, marker='.', alpha=0.1, s=50)\n",
    "    ax1.invert_xaxis()\n",
    "    ax1.set_ylabel(diff_label)\n",
    "    ax1.set_xlabel(x_label)\n",
    "    \n",
    "\n",
    "    # Zoom Plot\n",
    "    y_min, y_max = np.percentile(diff[zoom], [1., 99.])\n",
    "    y_delta = .1 * (y_max - y_min)\n",
    "    y_min -= y_delta\n",
    "    y_max += y_delta\n",
    "\n",
    "    if len(x[zoom]) < 1000:\n",
    "        alpha = 0.4\n",
    "    else:\n",
    "        alpha = 0.1\n",
    "    print(len(x[zoom]))\n",
    "    pl = ax2.scatter(x[zoom], diff[zoom], marker='.', alpha=alpha, s=50, c=stellarity[zoom], cmap=\"jet\")\n",
    "    ax2.invert_xaxis()\n",
    "    ax2.set_ylabel(diff_label)\n",
    "    ax2.set_xlabel(x_label)\n",
    "    ax2.set_ylim([y_min, y_max])\n",
    "    fig.colorbar(pl, label=\"stellarity (1=star)\")\n",
    "    \n",
    "    #ax2.legend(loc='lower right', numpoints=1)\n",
    "    \n",
    "    # Hist\n",
    "    n, bins, patches = vz.hist(diff[zoom], ax=ax3, bins='knuth', facecolor='black', lw = 2, alpha=0.5,\\\n",
    "                                   orientation=\"horizontal\")\n",
    "    ax3.yaxis.set_tick_params(labelleft=False)\n",
    "    \n",
    "    # Save ex. fig\n",
    "    if savefig:\n",
    "        survey_label = ((diff_label.replace(\" \", \"_\")).replace(\"(\", \"\")).replace(\")\", \"\")\n",
    "        figname = field + \"_apcorrIssues_\" + survey_label + \".png\"\n",
    "        plt.savefig(\"/data/help/plots/\" + figname, bbox_inches='tight')\n",
    "\n",
    "\n",
    "    display(fig)\n",
    "    plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "for band_of_a_kind in all_bands:\n",
    "    for band1, band2 in itertools.combinations(band_of_a_kind, 2):\n",
    "\n",
    "        basecol1, basecol2 = band1.replace(\" \", \"_\").lower(), band2.replace(\" \", \"_\").lower()\n",
    "       \n",
    "        if basecol1 == \"gpc1_r\" and basecol2 == \"wfc_r\":\n",
    "            savefig = True\n",
    "        else:\n",
    "            savefig = False\n",
    "            \n",
    "        # Aperture mag\n",
    "        col1, col2 = \"m_ap_{}\".format(basecol1), \"m_ap_{}\".format(basecol2)\n",
    "\n",
    "        apcor_check(master_catalogue[col1], master_catalogue[col2], master_catalogue['stellarity'],\n",
    "                 labels=(\"{} (aperture)\".format(band1), \"{} (aperture)\".format(band2)), savefig=savefig)\n",
    "\n",
    "for j in range(10):\n",
    "    plt.close()"
   ]
  }
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