{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# XMM-13hr: 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):  0.21519851684570312\n",
      "Number of sources in master catalogue:  38629\n"
     ]
    }
   ],
   "source": [
    "t0 = time.time()\n",
    "\n",
    "catname = \"../../dmu1/dmu1_ml_XMM-13hr/data/master_catalogue_xmm-13hr_20180221.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": [
      "XMM-13hr\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": 5,
   "metadata": {
    "collapsed": true
   },
   "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": 6,
   "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": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BASS g mag (aperture)\n",
      "    Error max: 1578\n",
      "    magerr > 10: Number of objects = 154, min mag = 27.6\n",
      "    magerr > 100: Number of objects = 15, min mag = 30.3\n",
      "    magerr > 1000: Number of objects = 2, min mag = 33.0\n",
      "\n",
      "BASS g mag (total)\n",
      "    Error max: 1469\n",
      "    magerr > 10: Number of objects = 207, min mag = 23.5\n",
      "    magerr > 100: Number of objects = 22, min mag = 27.5\n",
      "    magerr > 1000: Number of objects = 1, min mag = 32.9\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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/MmlqUREAN2++jLS2nen9C7jJkZmLkoiILDFbt27llltu4fHHH598bKIN4Ze+9CVisRhf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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f53320e2080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BASS r mag (aperture)\n",
      "    Error max: 1366\n",
      "    magerr > 10: Number of objects = 45, min mag = 27.8\n",
      "    magerr > 100: Number of objects = 4, min mag = 31.4\n",
      "    magerr > 1000: Number of objects = 1, min mag = 33.3\n",
      "\n",
      "BASS r mag (total)\n",
      "    Error max: 2310\n",
      "    magerr > 10: Number of objects = 43, min mag = 23.4\n",
      "    magerr > 100: Number of objects = 2, min mag = 31.7\n",
      "    magerr > 1000: Number of objects = 1, min mag = 33.8\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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qAWdPQSwOVgr7zEnsRHz4GmjJs4jMYldffTUvvvgi4BSh/NrXvsZXv/pVVqxY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1Go1G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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5331b53cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BASS z mag (aperture)\n",
      "    Error max: 433\n",
      "    magerr > 10: Number of objects = 108, min mag = 25.2\n",
      "    magerr > 100: Number of objects = 12, min mag = 28.6\n",
      "    magerr > 1000: Number of objects = 0, min mag = nan\n",
      "\n",
      "BASS z mag (total)\n",
      "    Error max: 257\n",
      "    magerr > 10: Number of objects = 17, min mag = 21.7\n",
      "    magerr > 100: Number of objects = 2, min mag = 29.4\n",
      "    magerr > 1000: Number of objects = 0, min mag = nan\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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2aUFuKIzX0wunT9jzvJUKjA5hIlGcc/XqnbEzbIIBwAbJZrImB8n1KXCqHccN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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5331a7d9e8>"
      ]
     },
     "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: 3\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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tsxmzTBM7GMJ7+Zn479wAX/ns1A6+/29x2xI4a86emeBERKThbNq0iSeffHJh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\nIiIiIiKu9/8BjPgqDfQhArUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5330d77f98>"
      ]
     },
     "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": "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": 9,
   "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": 10,
   "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 == \"bass_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)), savefig=savefig)\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)))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Aperture correction issues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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": 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_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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