{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# DIA Analysis: Supernovae from the Run 1.2p Test\n",
    "Michael Wood-Vasey\n",
    "Last Verified to Run: 2019-07-17\n",
    "\n",
    "After completing this Notebook, the user will be able to\n",
    "1. Get a list of simulated SN from the Run 1.2p truth catalog\n",
    "2. Select SNe within the test patch in the Run 1.2p DIA Test\n",
    "3. Plot lightcurves from the DIA analysis\n",
    "4. Plot lightcurves from the truth catalog\n",
    "5. Compare the input and recovered lightcurves.\n",
    "\n",
    "See the Truth GCR Variables for a basic overview of the Truth information and how to access it for variables.\n",
    "https://github.com/LSSTDESC/DC2-analysis/blob/master/tutorials/truth_gcr_variables.ipynb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Inject gcr-catalogs that supports DIA source into path.\n",
    "import os\n",
    "import math\n",
    "import sys\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "from astropy.coordinates import SkyCoord\n",
    "import astropy.units as u"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import lsst.afw.display as afwDisplay\n",
    "import lsst.afw.geom as afwGeom\n",
    "from lsst.daf.persistence import Butler\n",
    "from lsst.geom import SpherePoint\n",
    "import lsst.geom"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import GCRCatalogs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.patches import Polygon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "repo = '/global/cscratch1/sd/rearmstr/new_templates/diffim_template'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "butler = Butler(repo)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "diaSrc = GCRCatalogs.load_catalog('dc2_dia_source_run1.2p_test')\n",
    "diaObject = GCRCatalogs.load_catalog('dc2_dia_object_run1.2p_test')\n",
    "truth_cat = GCRCatalogs.load_catalog('dc2_truth_run1.2_variable_summary')\n",
    "truth_lc = GCRCatalogs.load_catalog('dc2_truth_run1.2_variable_lightcurve')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "(We presently will get a warning from the catalog reader in the initalization above because there is no u-band in the subtractions.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Select SNe from the truth catalog"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns = ['ra', 'dec', 'redshift', 'uniqueId', 'galaxy_id', 'sn']\n",
    "truth_all_sne = pd.DataFrame(truth_cat.get_quantities(columns, filters=[f'sn == 1']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You'll get a dataset.value deprecation warning.  Don't worry about this.  The Data Access Team will fix this someday."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We found 76689 simulated SNe.\n"
     ]
    }
   ],
   "source": [
    "print(f'We found {len(truth_all_sne)} simulated SNe.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Select SNe from the truth catalog in the DIA test region"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "tract = 4849\n",
    "patch = (6, 6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "skymap = butler.get('deepCoadd_skyMap')\n",
    "tract_info = skymap[tract]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "foo = tract_info.getPatchInfo(patch)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "bar = foo.getOuterSkyPolygon(tract_info.getWcs())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/lsst/software/stack/python/miniconda3-4.7.10/envs/lsst-scipipe-4d7b902/lib/python3.7/site-packages/ipykernel/__main__.py:1: FutureWarning: Call to deprecated function (or staticmethod) Box2D. (Replaced by lsst.geom.Box2D (will be removed before the release of v20.0))\n",
      "  if __name__ == '__main__':\n"
     ]
    }
   ],
   "source": [
    "tract_box = afwGeom.Box2D(tract_info.getBBox())\n",
    "tract_pos_list = tract_box.getCorners()\n",
    "wcs = tract_info.getWcs()\n",
    "corners = wcs.pixelToSky(tract_pos_list)\n",
    "corners = np.array([[c.getRa().asDegrees(), c.getDec().asDegrees()] for c in corners])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 54.72776196 -29.78294629]\n",
      " [ 52.93572545 -29.78294586]\n",
      " [ 52.949112   -28.22767319]\n",
      " [ 54.71437636 -28.2276736 ]]\n"
     ]
    }
   ],
   "source": [
    "print(corners)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "ra = corners[:, 0]\n",
    "dec = corners[:, 1]\n",
    "min_ra, max_ra = np.min(ra), np.max(ra)\n",
    "min_dec, max_dec = np.min(dec), np.max(dec)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "area_cut = [f'ra > {min_ra}', f'ra < {max_ra}', f'dec > {min_dec}', f'dec < {max_dec}']\n",
    "sn_cut = ['sn == 1']\n",
    "all_cuts = area_cut + sn_cut"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns = ['ra', 'dec', 'redshift', 'uniqueId', 'galaxy_id', 'sn']\n",
    "truth_sne = pd.DataFrame(truth_cat.get_quantities(columns, filters=all_cuts))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We found 8508 simulated SNe.\n"
     ]
    }
   ],
   "source": [
    "print(f'We found {len(truth_sne)} simulated SNe.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 410,
       "width": 429
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "avg_dec = (min_dec + max_dec)/2\n",
    "size = 8\n",
    "dec_size = size\n",
    "ra_size = dec_size * np.cos(np.deg2rad(avg_dec))\n",
    "aspect_ratio = dec_size / ra_size\n",
    "\n",
    "# fig = plt.figure(figsize=(size, size))\n",
    "ax = plt.gca()\n",
    "ax.set_aspect(aspect_ratio)\n",
    "\n",
    "patch_region = Polygon(corners, color='red', fill=False)\n",
    "\n",
    "ax.scatter(truth_sne['ra'], truth_sne['dec'])\n",
    "ax.set_xlabel('RA')\n",
    "ax.set_ylabel('Dec')\n",
    "ax.set_xlim(plt.xlim()[::-1])\n",
    "ax.add_patch(patch_region);\n",
    "ax.set_title(f'tract: {tract}, patch: {patch}');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A Lightcurve"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Search for diaObjects that match input simulated SNe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "i = 0\n",
    "sn = truth_sne.iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "galaxy_id    3.010259e+11\n",
      "dec         -2.838755e+01\n",
      "sn           1.000000e+00\n",
      "redshift     2.376888e-01\n",
      "ra           5.300728e+01\n",
      "uniqueId     3.082506e+14\n",
      "Name: 0, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(sn)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Oops, we need to fix up the `dtype`s somewhere.  Those shouldn't all be floats."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get the lightcurve"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns = ['obshistid', 'mjd', 'mag', 'filter']\n",
    "\n",
    "sn_lc = pd.DataFrame(truth_lc.get_quantities(columns,\n",
    "                                             native_filters=[f'uniqueId == {sn[\"uniqueId\"]}']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "sn_lc.rename(columns={'filter': 'filter_code'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Translate filter codes to filter names\n",
    "filter_names = ['u', 'g', 'r', 'i', 'z', 'y']\n",
    "sn_lc['filter'] = [filter_names[f] for f in sn_lc['filter_code']]\n",
    "sn_lc = sn_lc.sort_values('mjd')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_lightcurve(df, plot='mag', flux_col_names=None,\n",
    "                    title=None, marker='o', linestyle='none',\n",
    "                    colors=None, label_prefix='',\n",
    "                    **kwargs):\n",
    "    \"\"\"Plot a lightcurve from a DataFrame.\n",
    "    \"\"\"\n",
    "    # At lexigraphical order, if not wavelength order.\n",
    "    # Assume fixed list of filters.\n",
    "    filter_order = ['u', 'g', 'r', 'i', 'z', 'y']\n",
    "\n",
    "    if colors is None:\n",
    "        colors = {'u': 'violet', 'g': 'indigo', 'r': 'blue', 'i': 'green', 'z': 'orange', 'y': 'red'}\n",
    "    \n",
    "    if flux_col_names is not None:\n",
    "        flux_col, flux_err_col = flux_col_names\n",
    "    else:\n",
    "        if plot == 'flux':\n",
    "            flux_col = 'psFlux'\n",
    "            flux_err_col = 'psFluxErr'\n",
    "        else:\n",
    "            flux_col = 'mag'\n",
    "            flux_err_col = 'mag_err'\n",
    "        \n",
    "    for filt in filter_order:\n",
    "        this_filter = df.query(f'filter == \"{filt}\"')\n",
    "        if this_filter.empty:\n",
    "            continue\n",
    "        # This if sequence is a little silly.\n",
    "        plot_kwargs = {'linestyle': linestyle, 'marker': marker, 'color': colors[filt],\n",
    "                       'label': f'{label_prefix} {filt}'}\n",
    "        plot_kwargs.update(kwargs)\n",
    "\n",
    "        if flux_err_col in this_filter.columns:\n",
    "            plt.errorbar(this_filter['mjd'], this_filter[flux_col], this_filter[flux_err_col],\n",
    "                         **plot_kwargs)\n",
    "                        \n",
    "        else:\n",
    "            if marker is None:\n",
    "                plt.plot(this_filter['mjd'], this_filter[flux_col], **plot_kwargs)\n",
    "\n",
    "            else:\n",
    "                plot_kwargs.pop('linestyle')\n",
    "                plt.scatter(this_filter['mjd'], this_filter[flux_col], **plot_kwargs)\n",
    "\n",
    "\n",
    "\n",
    "    plt.xlabel('MJD')\n",
    "\n",
    "    if plot == 'flux':\n",
    "        plt.ylabel('psFlux [nJy]')\n",
    "    else:\n",
    "        # Ensure that y-axis decreases as one goes up\n",
    "        # Because plot_lightcurve could be called several times on the same axis,\n",
    "        # simply inverting is not correct.  We have to reverse a sorted list.\n",
    "        plt.ylim(sorted(plt.ylim(), reverse=True))\n",
    "        plt.ylabel('mag [AB]')\n",
    "\n",
    "    if title is not None:\n",
    "        plt.title(title)\n",
    "    plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 696,
       "width": 1012
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 8))\n",
    "plot_lightcurve(sn_lc, plot='mag', linestyle='-', marker=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Match to DIAObject Catalog"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "53.00727812651823 -28.387552632959427\n"
     ]
    }
   ],
   "source": [
    "ra, dec = sn['ra'], sn['dec']\n",
    "print(ra, dec)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index: 22 is 0.028836 arcsec away\n"
     ]
    }
   ],
   "source": [
    "# Match on RA, Dec\n",
    "sn_position = SkyCoord(sn['ra'], sn['dec'], unit='deg')\n",
    "\n",
    "diaObject_cat = diaObject.get_quantities(['ra', 'dec', 'diaObjectId'])\n",
    "diaObject_positions = SkyCoord(diaObject_cat['ra'], diaObject_cat['dec'], unit='deg')\n",
    "\n",
    "idx, sep2d, _ = sn_position.match_to_catalog_sky(diaObject_positions)\n",
    "print(f'Index: {idx} is {sep2d.to(u.arcsec)[0]:0.6f} away')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "diaObjectId = diaObject_cat['diaObjectId'][idx]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "How did we do with the lightcurve?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>filter_code</th>\n",
       "      <th>mjd</th>\n",
       "      <th>mag</th>\n",
       "      <th>obshistid</th>\n",
       "      <th>filter</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>60554.288025</td>\n",
       "      <td>26.432639</td>\n",
       "      <td>657401</td>\n",
       "      <td>u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>60555.258471</td>\n",
       "      <td>25.581090</td>\n",
       "      <td>658296</td>\n",
       "      <td>u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>60556.250832</td>\n",
       "      <td>25.019064</td>\n",
       "      <td>659233</td>\n",
       "      <td>u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>60557.246086</td>\n",
       "      <td>24.602021</td>\n",
       "      <td>660201</td>\n",
       "      <td>u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>60558.249432</td>\n",
       "      <td>24.266763</td>\n",
       "      <td>660882</td>\n",
       "      <td>u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0</td>\n",
       "      <td>60559.245016</td>\n",
       "      <td>23.986753</td>\n",
       "      <td>661527</td>\n",
       "      <td>u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2</td>\n",
       "      <td>60567.219180</td>\n",
       "      <td>21.397669</td>\n",
       "      <td>664557</td>\n",
       "      <td>r</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>60567.228879</td>\n",
       "      <td>21.461969</td>\n",
       "      <td>664577</td>\n",
       "      <td>g</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3</td>\n",
       "      <td>60567.234411</td>\n",
       "      <td>21.431454</td>\n",
       "      <td>664587</td>\n",
       "      <td>i</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4</td>\n",
       "      <td>60567.244111</td>\n",
       "      <td>21.719140</td>\n",
       "      <td>664607</td>\n",
       "      <td>z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>5</td>\n",
       "      <td>60567.256310</td>\n",
       "      <td>21.978863</td>\n",
       "      <td>664633</td>\n",
       "      <td>y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2</td>\n",
       "      <td>60578.271042</td>\n",
       "      <td>21.354127</td>\n",
       "      <td>671659</td>\n",
       "      <td>r</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>60578.280324</td>\n",
       "      <td>21.694316</td>\n",
       "      <td>671678</td>\n",
       "      <td>g</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>3</td>\n",
       "      <td>60578.285857</td>\n",
       "      <td>21.346081</td>\n",
       "      <td>671688</td>\n",
       "      <td>i</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>4</td>\n",
       "      <td>60578.295556</td>\n",
       "      <td>21.825918</td>\n",
       "      <td>671708</td>\n",
       "      <td>z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5</td>\n",
       "      <td>60578.307755</td>\n",
       "      <td>22.263662</td>\n",
       "      <td>671734</td>\n",
       "      <td>y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2</td>\n",
       "      <td>60581.174302</td>\n",
       "      <td>21.450943</td>\n",
       "      <td>674105</td>\n",
       "      <td>r</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>3</td>\n",
       "      <td>60581.189152</td>\n",
       "      <td>21.472849</td>\n",
       "      <td>674134</td>\n",
       "      <td>i</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>4</td>\n",
       "      <td>60581.198851</td>\n",
       "      <td>21.983958</td>\n",
       "      <td>674154</td>\n",
       "      <td>z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>5</td>\n",
       "      <td>60581.211050</td>\n",
       "      <td>22.407560</td>\n",
       "      <td>674180</td>\n",
       "      <td>y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0</td>\n",
       "      <td>60582.204745</td>\n",
       "      <td>24.257999</td>\n",
       "      <td>675069</td>\n",
       "      <td>u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0</td>\n",
       "      <td>60583.180252</td>\n",
       "      <td>24.374555</td>\n",
       "      <td>675910</td>\n",
       "      <td>u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0</td>\n",
       "      <td>60584.176755</td>\n",
       "      <td>24.494031</td>\n",
       "      <td>676739</td>\n",
       "      <td>u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0</td>\n",
       "      <td>60585.171706</td>\n",
       "      <td>24.608092</td>\n",
       "      <td>677595</td>\n",
       "      <td>u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0</td>\n",
       "      <td>60586.172558</td>\n",
       "      <td>24.727928</td>\n",
       "      <td>678467</td>\n",
       "      <td>u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0</td>\n",
       "      <td>60587.166237</td>\n",
       "      <td>24.855251</td>\n",
       "      <td>679317</td>\n",
       "      <td>u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0</td>\n",
       "      <td>60588.163054</td>\n",
       "      <td>24.992185</td>\n",
       "      <td>680167</td>\n",
       "      <td>u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2</td>\n",
       "      <td>60593.164657</td>\n",
       "      <td>22.093300</td>\n",
       "      <td>684469</td>\n",
       "      <td>r</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1</td>\n",
       "      <td>60593.173940</td>\n",
       "      <td>23.101931</td>\n",
       "      <td>684488</td>\n",
       "      <td>g</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>3</td>\n",
       "      <td>60593.179472</td>\n",
       "      <td>22.013917</td>\n",
       "      <td>684498</td>\n",
       "      <td>i</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>4</td>\n",
       "      <td>60608.151733</td>\n",
       "      <td>22.571821</td>\n",
       "      <td>696296</td>\n",
       "      <td>z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>5</td>\n",
       "      <td>60608.163933</td>\n",
       "      <td>22.559708</td>\n",
       "      <td>696322</td>\n",
       "      <td>y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2</td>\n",
       "      <td>60611.119189</td>\n",
       "      <td>23.094521</td>\n",
       "      <td>698622</td>\n",
       "      <td>r</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>1</td>\n",
       "      <td>60611.128471</td>\n",
       "      <td>24.440580</td>\n",
       "      <td>698641</td>\n",
       "      <td>g</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>3</td>\n",
       "      <td>60611.134004</td>\n",
       "      <td>22.555700</td>\n",
       "      <td>698651</td>\n",
       "      <td>i</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>4</td>\n",
       "      <td>60611.143703</td>\n",
       "      <td>22.708548</td>\n",
       "      <td>698671</td>\n",
       "      <td>z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>5</td>\n",
       "      <td>60611.155902</td>\n",
       "      <td>22.649910</td>\n",
       "      <td>698697</td>\n",
       "      <td>y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>0</td>\n",
       "      <td>60613.097971</td>\n",
       "      <td>26.392147</td>\n",
       "      <td>700187</td>\n",
       "      <td>u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>0</td>\n",
       "      <td>60614.092032</td>\n",
       "      <td>26.435882</td>\n",
       "      <td>700968</td>\n",
       "      <td>u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>0</td>\n",
       "      <td>60615.087792</td>\n",
       "      <td>26.482756</td>\n",
       "      <td>701754</td>\n",
       "      <td>u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>0</td>\n",
       "      <td>60616.088773</td>\n",
       "      <td>26.532553</td>\n",
       "      <td>702553</td>\n",
       "      <td>u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>0</td>\n",
       "      <td>60617.085683</td>\n",
       "      <td>26.583687</td>\n",
       "      <td>703320</td>\n",
       "      <td>u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>0</td>\n",
       "      <td>60620.131032</td>\n",
       "      <td>26.722439</td>\n",
       "      <td>704240</td>\n",
       "      <td>u</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2</td>\n",
       "      <td>60621.122783</td>\n",
       "      <td>23.508854</td>\n",
       "      <td>704746</td>\n",
       "      <td>r</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>1</td>\n",
       "      <td>60621.132065</td>\n",
       "      <td>24.736442</td>\n",
       "      <td>704765</td>\n",
       "      <td>g</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>3</td>\n",
       "      <td>60621.137598</td>\n",
       "      <td>22.996806</td>\n",
       "      <td>704775</td>\n",
       "      <td>i</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>4</td>\n",
       "      <td>60621.147297</td>\n",
       "      <td>23.206187</td>\n",
       "      <td>704795</td>\n",
       "      <td>z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>5</td>\n",
       "      <td>60621.159496</td>\n",
       "      <td>23.115017</td>\n",
       "      <td>704821</td>\n",
       "      <td>y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>2</td>\n",
       "      <td>60624.078591</td>\n",
       "      <td>23.592920</td>\n",
       "      <td>706923</td>\n",
       "      <td>r</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>3</td>\n",
       "      <td>60624.093405</td>\n",
       "      <td>23.095192</td>\n",
       "      <td>706952</td>\n",
       "      <td>i</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>4</td>\n",
       "      <td>60624.103104</td>\n",
       "      <td>23.344373</td>\n",
       "      <td>706972</td>\n",
       "      <td>z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>5</td>\n",
       "      <td>60624.115303</td>\n",
       "      <td>23.258472</td>\n",
       "      <td>706998</td>\n",
       "      <td>y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2</td>\n",
       "      <td>60627.276161</td>\n",
       "      <td>23.667327</td>\n",
       "      <td>709647</td>\n",
       "      <td>r</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>3</td>\n",
       "      <td>60627.291393</td>\n",
       "      <td>23.191451</td>\n",
       "      <td>709677</td>\n",
       "      <td>i</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>4</td>\n",
       "      <td>60627.301092</td>\n",
       "      <td>23.484316</td>\n",
       "      <td>709697</td>\n",
       "      <td>z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>5</td>\n",
       "      <td>60627.313291</td>\n",
       "      <td>23.379125</td>\n",
       "      <td>709723</td>\n",
       "      <td>y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2</td>\n",
       "      <td>60632.036052</td>\n",
       "      <td>23.747787</td>\n",
       "      <td>712881</td>\n",
       "      <td>r</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>3</td>\n",
       "      <td>60632.051295</td>\n",
       "      <td>23.312274</td>\n",
       "      <td>712911</td>\n",
       "      <td>i</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>4</td>\n",
       "      <td>60632.060994</td>\n",
       "      <td>23.667778</td>\n",
       "      <td>712931</td>\n",
       "      <td>z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>5</td>\n",
       "      <td>60632.073193</td>\n",
       "      <td>23.491572</td>\n",
       "      <td>712957</td>\n",
       "      <td>y</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>73 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    filter_code           mjd        mag  obshistid filter\n",
       "0             0  60554.288025  26.432639     657401      u\n",
       "1             0  60555.258471  25.581090     658296      u\n",
       "2             0  60556.250832  25.019064     659233      u\n",
       "3             0  60557.246086  24.602021     660201      u\n",
       "4             0  60558.249432  24.266763     660882      u\n",
       "5             0  60559.245016  23.986753     661527      u\n",
       "6             2  60567.219180  21.397669     664557      r\n",
       "7             1  60567.228879  21.461969     664577      g\n",
       "8             3  60567.234411  21.431454     664587      i\n",
       "9             4  60567.244111  21.719140     664607      z\n",
       "10            5  60567.256310  21.978863     664633      y\n",
       "11            2  60578.271042  21.354127     671659      r\n",
       "12            1  60578.280324  21.694316     671678      g\n",
       "13            3  60578.285857  21.346081     671688      i\n",
       "14            4  60578.295556  21.825918     671708      z\n",
       "15            5  60578.307755  22.263662     671734      y\n",
       "16            2  60581.174302  21.450943     674105      r\n",
       "17            3  60581.189152  21.472849     674134      i\n",
       "18            4  60581.198851  21.983958     674154      z\n",
       "19            5  60581.211050  22.407560     674180      y\n",
       "20            0  60582.204745  24.257999     675069      u\n",
       "21            0  60583.180252  24.374555     675910      u\n",
       "22            0  60584.176755  24.494031     676739      u\n",
       "23            0  60585.171706  24.608092     677595      u\n",
       "24            0  60586.172558  24.727928     678467      u\n",
       "25            0  60587.166237  24.855251     679317      u\n",
       "26            0  60588.163054  24.992185     680167      u\n",
       "27            2  60593.164657  22.093300     684469      r\n",
       "28            1  60593.173940  23.101931     684488      g\n",
       "29            3  60593.179472  22.013917     684498      i\n",
       "..          ...           ...        ...        ...    ...\n",
       "43            4  60608.151733  22.571821     696296      z\n",
       "44            5  60608.163933  22.559708     696322      y\n",
       "45            2  60611.119189  23.094521     698622      r\n",
       "46            1  60611.128471  24.440580     698641      g\n",
       "47            3  60611.134004  22.555700     698651      i\n",
       "48            4  60611.143703  22.708548     698671      z\n",
       "49            5  60611.155902  22.649910     698697      y\n",
       "50            0  60613.097971  26.392147     700187      u\n",
       "51            0  60614.092032  26.435882     700968      u\n",
       "52            0  60615.087792  26.482756     701754      u\n",
       "53            0  60616.088773  26.532553     702553      u\n",
       "54            0  60617.085683  26.583687     703320      u\n",
       "55            0  60620.131032  26.722439     704240      u\n",
       "56            2  60621.122783  23.508854     704746      r\n",
       "57            1  60621.132065  24.736442     704765      g\n",
       "58            3  60621.137598  22.996806     704775      i\n",
       "59            4  60621.147297  23.206187     704795      z\n",
       "60            5  60621.159496  23.115017     704821      y\n",
       "61            2  60624.078591  23.592920     706923      r\n",
       "62            3  60624.093405  23.095192     706952      i\n",
       "63            4  60624.103104  23.344373     706972      z\n",
       "64            5  60624.115303  23.258472     706998      y\n",
       "65            2  60627.276161  23.667327     709647      r\n",
       "66            3  60627.291393  23.191451     709677      i\n",
       "67            4  60627.301092  23.484316     709697      z\n",
       "68            5  60627.313291  23.379125     709723      y\n",
       "69            2  60632.036052  23.747787     712881      r\n",
       "70            3  60632.051295  23.312274     712911      i\n",
       "71            4  60632.060994  23.667778     712931      z\n",
       "72            5  60632.073193  23.491572     712957      y\n",
       "\n",
       "[73 rows x 5 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sn_lc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We can't use a direct filters = match in the GCR wrapper for the diaSrc table.\n",
    "# So we have to use a lambda function here to match the ID\n",
    "dia_lc = pd.DataFrame(diaSrc.get_quantities(['visit', 'mjd', 'psFlux', 'psFluxErr', 'mag', 'mag_err', 'filter'],\n",
    "                                            filters=[(lambda x: x == diaObjectId, 'diaObjectId')]))\n",
    "dia_lc = dia_lc.sort_values('mjd')                    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 700,
       "width": 1012
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 8))\n",
    "plot_lightcurve(sn_lc, plot='mag', linestyle='-', marker=None, label_prefix='Sim')\n",
    "plot_lightcurve(dia_lc, plot='mag', label_prefix='DIA')\n",
    "\n",
    "sim_date_range = [min(sn_lc['mjd']), max(sn_lc['mjd'])]\n",
    "sim_date_delta = sim_date_range[1] - sim_date_range[0]\n",
    "buffer_fraction = 0.05\n",
    "plot_date_range = sim_date_range\n",
    "plot_date_range[0] -= sim_date_delta * buffer_fraction\n",
    "plot_date_range[1] += sim_date_delta * buffer_fraction\n",
    "\n",
    "plt.xlim(plot_date_range)\n",
    "plt.ylim(25, 19);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The shape seems good.  But the calibration is magnitudes off.  It does look like it's a constant magnitude offset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>filter_code</th>\n",
       "      <th>mjd</th>\n",
       "      <th>mag</th>\n",
       "      <th>obshistid</th>\n",
       "      <th>filter</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2</td>\n",
       "      <td>60567.219180</td>\n",
       "      <td>21.397669</td>\n",
       "      <td>664557</td>\n",
       "      <td>r</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>60567.228879</td>\n",
       "      <td>21.461969</td>\n",
       "      <td>664577</td>\n",
       "      <td>g</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3</td>\n",
       "      <td>60567.234411</td>\n",
       "      <td>21.431454</td>\n",
       "      <td>664587</td>\n",
       "      <td>i</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4</td>\n",
       "      <td>60567.244111</td>\n",
       "      <td>21.719140</td>\n",
       "      <td>664607</td>\n",
       "      <td>z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>5</td>\n",
       "      <td>60567.256310</td>\n",
       "      <td>21.978863</td>\n",
       "      <td>664633</td>\n",
       "      <td>y</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    filter_code           mjd        mag  obshistid filter\n",
       "6             2  60567.219180  21.397669     664557      r\n",
       "7             1  60567.228879  21.461969     664577      g\n",
       "8             3  60567.234411  21.431454     664587      i\n",
       "9             4  60567.244111  21.719140     664607      z\n",
       "10            5  60567.256310  21.978863     664633      y"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sn_lc.query('(60567 < mjd) & (mjd < 60568)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mjd</th>\n",
       "      <th>visit</th>\n",
       "      <th>mag_err</th>\n",
       "      <th>mag</th>\n",
       "      <th>psFlux</th>\n",
       "      <th>psFluxErr</th>\n",
       "      <th>filter</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>60567.219782</td>\n",
       "      <td>664557</td>\n",
       "      <td>0.009033</td>\n",
       "      <td>19.610946</td>\n",
       "      <td>51954.298318</td>\n",
       "      <td>430.379216</td>\n",
       "      <td>r</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>60567.235013</td>\n",
       "      <td>664587</td>\n",
       "      <td>0.010489</td>\n",
       "      <td>19.698708</td>\n",
       "      <td>47920.015598</td>\n",
       "      <td>461.672183</td>\n",
       "      <td>i</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>60567.244713</td>\n",
       "      <td>664607</td>\n",
       "      <td>0.012521</td>\n",
       "      <td>19.666216</td>\n",
       "      <td>49375.749296</td>\n",
       "      <td>568.633628</td>\n",
       "      <td>z</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            mjd   visit   mag_err        mag        psFlux   psFluxErr filter\n",
       "1  60567.219782  664557  0.009033  19.610946  51954.298318  430.379216      r\n",
       "2  60567.235013  664587  0.010489  19.698708  47920.015598  461.672183      i\n",
       "3  60567.244713  664607  0.012521  19.666216  49375.749296  568.633628      z"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dia_lc.query('(60567 < mjd) & (mjd < 60568)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The MJD for the same visits (recall `visit` == `obshistid`) are slightly different between the truth catalog and the DIA lightcurve:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-52.0128000061959"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(60567.219180 - 60567.219782) * 24 * 3600"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Why the 52 second difference?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's match on `obshistid == visit` to get a matched set of dataframes that we can compare."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "joint_lc = pd.merge(sn_lc, dia_lc, left_on='obshistid', right_on='visit', suffixes=('_sim', '_dia'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "joint_lc['mjd'] = joint_lc['mjd_dia']\n",
    "joint_lc['filter'] = joint_lc['filter_sim']\n",
    "joint_lc['delta_mag'] = joint_lc['mag_dia'] - joint_lc['mag_sim']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>filter_code</th>\n",
       "      <th>mjd_sim</th>\n",
       "      <th>mag_sim</th>\n",
       "      <th>obshistid</th>\n",
       "      <th>filter_sim</th>\n",
       "      <th>mjd_dia</th>\n",
       "      <th>visit</th>\n",
       "      <th>mag_err</th>\n",
       "      <th>mag_dia</th>\n",
       "      <th>psFlux</th>\n",
       "      <th>psFluxErr</th>\n",
       "      <th>filter_dia</th>\n",
       "      <th>mjd</th>\n",
       "      <th>filter</th>\n",
       "      <th>delta_mag</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>60567.219180</td>\n",
       "      <td>21.397669</td>\n",
       "      <td>664557</td>\n",
       "      <td>r</td>\n",
       "      <td>60567.219782</td>\n",
       "      <td>664557</td>\n",
       "      <td>0.009033</td>\n",
       "      <td>19.610946</td>\n",
       "      <td>51954.298318</td>\n",
       "      <td>430.379216</td>\n",
       "      <td>r</td>\n",
       "      <td>60567.219782</td>\n",
       "      <td>r</td>\n",
       "      <td>-1.786722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>60567.234411</td>\n",
       "      <td>21.431454</td>\n",
       "      <td>664587</td>\n",
       "      <td>i</td>\n",
       "      <td>60567.235013</td>\n",
       "      <td>664587</td>\n",
       "      <td>0.010489</td>\n",
       "      <td>19.698708</td>\n",
       "      <td>47920.015598</td>\n",
       "      <td>461.672183</td>\n",
       "      <td>i</td>\n",
       "      <td>60567.235013</td>\n",
       "      <td>i</td>\n",
       "      <td>-1.732747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>60567.244111</td>\n",
       "      <td>21.719140</td>\n",
       "      <td>664607</td>\n",
       "      <td>z</td>\n",
       "      <td>60567.244713</td>\n",
       "      <td>664607</td>\n",
       "      <td>0.012521</td>\n",
       "      <td>19.666216</td>\n",
       "      <td>49375.749296</td>\n",
       "      <td>568.633628</td>\n",
       "      <td>z</td>\n",
       "      <td>60567.244713</td>\n",
       "      <td>z</td>\n",
       "      <td>-2.052925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>60578.271042</td>\n",
       "      <td>21.354127</td>\n",
       "      <td>671659</td>\n",
       "      <td>r</td>\n",
       "      <td>60578.271644</td>\n",
       "      <td>671659</td>\n",
       "      <td>0.008895</td>\n",
       "      <td>19.717774</td>\n",
       "      <td>47085.850480</td>\n",
       "      <td>385.539974</td>\n",
       "      <td>r</td>\n",
       "      <td>60578.271644</td>\n",
       "      <td>r</td>\n",
       "      <td>-1.636353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>60578.280324</td>\n",
       "      <td>21.694316</td>\n",
       "      <td>671678</td>\n",
       "      <td>g</td>\n",
       "      <td>60578.280926</td>\n",
       "      <td>671678</td>\n",
       "      <td>0.020358</td>\n",
       "      <td>21.298140</td>\n",
       "      <td>10983.583655</td>\n",
       "      <td>205.931007</td>\n",
       "      <td>g</td>\n",
       "      <td>60578.280926</td>\n",
       "      <td>g</td>\n",
       "      <td>-0.396176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3</td>\n",
       "      <td>60578.285857</td>\n",
       "      <td>21.346081</td>\n",
       "      <td>671688</td>\n",
       "      <td>i</td>\n",
       "      <td>60578.286459</td>\n",
       "      <td>671688</td>\n",
       "      <td>0.010054</td>\n",
       "      <td>19.572688</td>\n",
       "      <td>53817.660622</td>\n",
       "      <td>498.132297</td>\n",
       "      <td>i</td>\n",
       "      <td>60578.286459</td>\n",
       "      <td>i</td>\n",
       "      <td>-1.773393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4</td>\n",
       "      <td>60578.295556</td>\n",
       "      <td>21.825918</td>\n",
       "      <td>671708</td>\n",
       "      <td>z</td>\n",
       "      <td>60578.296158</td>\n",
       "      <td>671708</td>\n",
       "      <td>0.012146</td>\n",
       "      <td>19.498688</td>\n",
       "      <td>57613.595367</td>\n",
       "      <td>644.364773</td>\n",
       "      <td>z</td>\n",
       "      <td>60578.296158</td>\n",
       "      <td>z</td>\n",
       "      <td>-2.327230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>5</td>\n",
       "      <td>60578.307755</td>\n",
       "      <td>22.263662</td>\n",
       "      <td>671734</td>\n",
       "      <td>y</td>\n",
       "      <td>60578.308357</td>\n",
       "      <td>671734</td>\n",
       "      <td>0.020698</td>\n",
       "      <td>19.714040</td>\n",
       "      <td>47248.056561</td>\n",
       "      <td>900.609948</td>\n",
       "      <td>y</td>\n",
       "      <td>60578.308357</td>\n",
       "      <td>y</td>\n",
       "      <td>-2.549622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2</td>\n",
       "      <td>60581.174302</td>\n",
       "      <td>21.450943</td>\n",
       "      <td>674105</td>\n",
       "      <td>r</td>\n",
       "      <td>60581.174904</td>\n",
       "      <td>674105</td>\n",
       "      <td>0.011141</td>\n",
       "      <td>19.933641</td>\n",
       "      <td>38596.129793</td>\n",
       "      <td>395.892130</td>\n",
       "      <td>r</td>\n",
       "      <td>60581.174904</td>\n",
       "      <td>r</td>\n",
       "      <td>-1.517302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>60593.173940</td>\n",
       "      <td>23.101931</td>\n",
       "      <td>684488</td>\n",
       "      <td>g</td>\n",
       "      <td>60593.174542</td>\n",
       "      <td>684488</td>\n",
       "      <td>0.074385</td>\n",
       "      <td>23.067606</td>\n",
       "      <td>2152.571205</td>\n",
       "      <td>147.471570</td>\n",
       "      <td>g</td>\n",
       "      <td>60593.174542</td>\n",
       "      <td>g</td>\n",
       "      <td>-0.034324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>5</td>\n",
       "      <td>60593.201370</td>\n",
       "      <td>22.608499</td>\n",
       "      <td>684544</td>\n",
       "      <td>y</td>\n",
       "      <td>60593.201972</td>\n",
       "      <td>684544</td>\n",
       "      <td>0.026534</td>\n",
       "      <td>20.276792</td>\n",
       "      <td>28137.340049</td>\n",
       "      <td>687.511028</td>\n",
       "      <td>y</td>\n",
       "      <td>60593.201972</td>\n",
       "      <td>y</td>\n",
       "      <td>-2.331706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2</td>\n",
       "      <td>60596.178013</td>\n",
       "      <td>22.270623</td>\n",
       "      <td>686469</td>\n",
       "      <td>r</td>\n",
       "      <td>60596.178615</td>\n",
       "      <td>686469</td>\n",
       "      <td>0.041427</td>\n",
       "      <td>21.337737</td>\n",
       "      <td>10590.229808</td>\n",
       "      <td>404.050880</td>\n",
       "      <td>r</td>\n",
       "      <td>60596.178615</td>\n",
       "      <td>r</td>\n",
       "      <td>-0.932887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>60596.187712</td>\n",
       "      <td>23.396907</td>\n",
       "      <td>686489</td>\n",
       "      <td>g</td>\n",
       "      <td>60596.188314</td>\n",
       "      <td>686489</td>\n",
       "      <td>0.159190</td>\n",
       "      <td>23.230260</td>\n",
       "      <td>1853.087931</td>\n",
       "      <td>271.697872</td>\n",
       "      <td>g</td>\n",
       "      <td>60596.188314</td>\n",
       "      <td>g</td>\n",
       "      <td>-0.166647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>3</td>\n",
       "      <td>60596.193244</td>\n",
       "      <td>22.072659</td>\n",
       "      <td>686499</td>\n",
       "      <td>i</td>\n",
       "      <td>60596.193846</td>\n",
       "      <td>686499</td>\n",
       "      <td>0.025884</td>\n",
       "      <td>20.575759</td>\n",
       "      <td>21364.683865</td>\n",
       "      <td>509.285207</td>\n",
       "      <td>i</td>\n",
       "      <td>60596.193846</td>\n",
       "      <td>i</td>\n",
       "      <td>-1.496901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>4</td>\n",
       "      <td>60596.202943</td>\n",
       "      <td>22.472107</td>\n",
       "      <td>686519</td>\n",
       "      <td>z</td>\n",
       "      <td>60596.203545</td>\n",
       "      <td>686519</td>\n",
       "      <td>0.021702</td>\n",
       "      <td>20.212251</td>\n",
       "      <td>29860.670592</td>\n",
       "      <td>596.795208</td>\n",
       "      <td>z</td>\n",
       "      <td>60596.203545</td>\n",
       "      <td>z</td>\n",
       "      <td>-2.259856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5</td>\n",
       "      <td>60596.215142</td>\n",
       "      <td>22.573407</td>\n",
       "      <td>686545</td>\n",
       "      <td>y</td>\n",
       "      <td>60596.215744</td>\n",
       "      <td>686545</td>\n",
       "      <td>0.033466</td>\n",
       "      <td>20.332999</td>\n",
       "      <td>26717.792021</td>\n",
       "      <td>823.473242</td>\n",
       "      <td>y</td>\n",
       "      <td>60596.215744</td>\n",
       "      <td>y</td>\n",
       "      <td>-2.240409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2</td>\n",
       "      <td>60605.134462</td>\n",
       "      <td>22.778590</td>\n",
       "      <td>693871</td>\n",
       "      <td>r</td>\n",
       "      <td>60605.135064</td>\n",
       "      <td>693871</td>\n",
       "      <td>0.048667</td>\n",
       "      <td>22.051219</td>\n",
       "      <td>5489.243765</td>\n",
       "      <td>246.036487</td>\n",
       "      <td>r</td>\n",
       "      <td>60605.135064</td>\n",
       "      <td>r</td>\n",
       "      <td>-0.727371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5</td>\n",
       "      <td>60605.171175</td>\n",
       "      <td>22.502005</td>\n",
       "      <td>693946</td>\n",
       "      <td>y</td>\n",
       "      <td>60605.171777</td>\n",
       "      <td>693946</td>\n",
       "      <td>0.033979</td>\n",
       "      <td>20.480992</td>\n",
       "      <td>23313.259952</td>\n",
       "      <td>729.486718</td>\n",
       "      <td>y</td>\n",
       "      <td>60605.171777</td>\n",
       "      <td>y</td>\n",
       "      <td>-2.021012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2</td>\n",
       "      <td>60608.127220</td>\n",
       "      <td>22.936279</td>\n",
       "      <td>696247</td>\n",
       "      <td>r</td>\n",
       "      <td>60608.127822</td>\n",
       "      <td>696247</td>\n",
       "      <td>0.059354</td>\n",
       "      <td>22.403800</td>\n",
       "      <td>3967.161602</td>\n",
       "      <td>216.864375</td>\n",
       "      <td>r</td>\n",
       "      <td>60608.127822</td>\n",
       "      <td>r</td>\n",
       "      <td>-0.532479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>60608.136502</td>\n",
       "      <td>24.292038</td>\n",
       "      <td>696266</td>\n",
       "      <td>g</td>\n",
       "      <td>60608.137104</td>\n",
       "      <td>696266</td>\n",
       "      <td>0.173746</td>\n",
       "      <td>24.204006</td>\n",
       "      <td>755.784122</td>\n",
       "      <td>120.944561</td>\n",
       "      <td>g</td>\n",
       "      <td>60608.137104</td>\n",
       "      <td>g</td>\n",
       "      <td>-0.088033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>3</td>\n",
       "      <td>60608.142034</td>\n",
       "      <td>22.400639</td>\n",
       "      <td>696276</td>\n",
       "      <td>i</td>\n",
       "      <td>60608.142636</td>\n",
       "      <td>696276</td>\n",
       "      <td>0.035801</td>\n",
       "      <td>21.450470</td>\n",
       "      <td>9545.790759</td>\n",
       "      <td>314.726180</td>\n",
       "      <td>i</td>\n",
       "      <td>60608.142636</td>\n",
       "      <td>i</td>\n",
       "      <td>-0.950169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>4</td>\n",
       "      <td>60608.151733</td>\n",
       "      <td>22.571821</td>\n",
       "      <td>696296</td>\n",
       "      <td>z</td>\n",
       "      <td>60608.152335</td>\n",
       "      <td>696296</td>\n",
       "      <td>0.022675</td>\n",
       "      <td>20.578074</td>\n",
       "      <td>21319.168260</td>\n",
       "      <td>445.118346</td>\n",
       "      <td>z</td>\n",
       "      <td>60608.152335</td>\n",
       "      <td>z</td>\n",
       "      <td>-1.993746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>5</td>\n",
       "      <td>60608.163933</td>\n",
       "      <td>22.559708</td>\n",
       "      <td>696322</td>\n",
       "      <td>y</td>\n",
       "      <td>60608.164535</td>\n",
       "      <td>696322</td>\n",
       "      <td>0.034725</td>\n",
       "      <td>20.659315</td>\n",
       "      <td>19782.167896</td>\n",
       "      <td>632.615017</td>\n",
       "      <td>y</td>\n",
       "      <td>60608.164535</td>\n",
       "      <td>y</td>\n",
       "      <td>-1.900393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2</td>\n",
       "      <td>60611.119189</td>\n",
       "      <td>23.094521</td>\n",
       "      <td>698622</td>\n",
       "      <td>r</td>\n",
       "      <td>60611.119791</td>\n",
       "      <td>698622</td>\n",
       "      <td>0.071238</td>\n",
       "      <td>22.413331</td>\n",
       "      <td>3932.489517</td>\n",
       "      <td>258.012421</td>\n",
       "      <td>r</td>\n",
       "      <td>60611.119791</td>\n",
       "      <td>r</td>\n",
       "      <td>-0.681190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>60611.128471</td>\n",
       "      <td>24.440580</td>\n",
       "      <td>698641</td>\n",
       "      <td>g</td>\n",
       "      <td>60611.129073</td>\n",
       "      <td>698641</td>\n",
       "      <td>0.168484</td>\n",
       "      <td>24.326891</td>\n",
       "      <td>674.906577</td>\n",
       "      <td>104.731225</td>\n",
       "      <td>g</td>\n",
       "      <td>60611.129073</td>\n",
       "      <td>g</td>\n",
       "      <td>-0.113689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>3</td>\n",
       "      <td>60611.134004</td>\n",
       "      <td>22.555700</td>\n",
       "      <td>698651</td>\n",
       "      <td>i</td>\n",
       "      <td>60611.134606</td>\n",
       "      <td>698651</td>\n",
       "      <td>0.044743</td>\n",
       "      <td>21.594204</td>\n",
       "      <td>8362.159167</td>\n",
       "      <td>344.553900</td>\n",
       "      <td>i</td>\n",
       "      <td>60611.134606</td>\n",
       "      <td>i</td>\n",
       "      <td>-0.961496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>5</td>\n",
       "      <td>60611.155902</td>\n",
       "      <td>22.649910</td>\n",
       "      <td>698697</td>\n",
       "      <td>y</td>\n",
       "      <td>60611.156504</td>\n",
       "      <td>698697</td>\n",
       "      <td>0.038859</td>\n",
       "      <td>20.833420</td>\n",
       "      <td>16851.248510</td>\n",
       "      <td>603.064822</td>\n",
       "      <td>y</td>\n",
       "      <td>60611.156504</td>\n",
       "      <td>y</td>\n",
       "      <td>-1.816491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2</td>\n",
       "      <td>60621.122783</td>\n",
       "      <td>23.508854</td>\n",
       "      <td>704746</td>\n",
       "      <td>r</td>\n",
       "      <td>60621.123385</td>\n",
       "      <td>704746</td>\n",
       "      <td>0.072668</td>\n",
       "      <td>22.687504</td>\n",
       "      <td>3054.910661</td>\n",
       "      <td>204.460426</td>\n",
       "      <td>r</td>\n",
       "      <td>60621.123385</td>\n",
       "      <td>r</td>\n",
       "      <td>-0.821351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>5</td>\n",
       "      <td>60621.159496</td>\n",
       "      <td>23.115017</td>\n",
       "      <td>704821</td>\n",
       "      <td>y</td>\n",
       "      <td>60621.160098</td>\n",
       "      <td>704821</td>\n",
       "      <td>0.060528</td>\n",
       "      <td>21.273221</td>\n",
       "      <td>11238.585132</td>\n",
       "      <td>626.510025</td>\n",
       "      <td>y</td>\n",
       "      <td>60621.160098</td>\n",
       "      <td>y</td>\n",
       "      <td>-1.841796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>3</td>\n",
       "      <td>60624.093405</td>\n",
       "      <td>23.095192</td>\n",
       "      <td>706952</td>\n",
       "      <td>i</td>\n",
       "      <td>60624.094007</td>\n",
       "      <td>706952</td>\n",
       "      <td>0.068156</td>\n",
       "      <td>22.045376</td>\n",
       "      <td>5518.862250</td>\n",
       "      <td>346.433388</td>\n",
       "      <td>i</td>\n",
       "      <td>60624.094007</td>\n",
       "      <td>i</td>\n",
       "      <td>-1.049815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>4</td>\n",
       "      <td>60624.103104</td>\n",
       "      <td>23.344373</td>\n",
       "      <td>706972</td>\n",
       "      <td>z</td>\n",
       "      <td>60624.103706</td>\n",
       "      <td>706972</td>\n",
       "      <td>0.042003</td>\n",
       "      <td>21.195894</td>\n",
       "      <td>12068.193213</td>\n",
       "      <td>466.842536</td>\n",
       "      <td>z</td>\n",
       "      <td>60624.103706</td>\n",
       "      <td>z</td>\n",
       "      <td>-2.148479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>5</td>\n",
       "      <td>60624.115303</td>\n",
       "      <td>23.258472</td>\n",
       "      <td>706998</td>\n",
       "      <td>y</td>\n",
       "      <td>60624.115905</td>\n",
       "      <td>706998</td>\n",
       "      <td>0.071504</td>\n",
       "      <td>21.380532</td>\n",
       "      <td>10180.921902</td>\n",
       "      <td>670.470176</td>\n",
       "      <td>y</td>\n",
       "      <td>60624.115905</td>\n",
       "      <td>y</td>\n",
       "      <td>-1.877940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>3</td>\n",
       "      <td>60627.291393</td>\n",
       "      <td>23.191451</td>\n",
       "      <td>709677</td>\n",
       "      <td>i</td>\n",
       "      <td>60627.291995</td>\n",
       "      <td>709677</td>\n",
       "      <td>0.140924</td>\n",
       "      <td>22.364977</td>\n",
       "      <td>4111.582997</td>\n",
       "      <td>533.663023</td>\n",
       "      <td>i</td>\n",
       "      <td>60627.291995</td>\n",
       "      <td>i</td>\n",
       "      <td>-0.826474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>5</td>\n",
       "      <td>60627.313291</td>\n",
       "      <td>23.379125</td>\n",
       "      <td>709723</td>\n",
       "      <td>y</td>\n",
       "      <td>60627.313893</td>\n",
       "      <td>709723</td>\n",
       "      <td>0.120211</td>\n",
       "      <td>21.638405</td>\n",
       "      <td>8028.566688</td>\n",
       "      <td>888.906650</td>\n",
       "      <td>y</td>\n",
       "      <td>60627.313893</td>\n",
       "      <td>y</td>\n",
       "      <td>-1.740720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2</td>\n",
       "      <td>60632.036052</td>\n",
       "      <td>23.747787</td>\n",
       "      <td>712881</td>\n",
       "      <td>r</td>\n",
       "      <td>60632.036654</td>\n",
       "      <td>712881</td>\n",
       "      <td>0.136071</td>\n",
       "      <td>22.897444</td>\n",
       "      <td>2517.807350</td>\n",
       "      <td>315.546726</td>\n",
       "      <td>r</td>\n",
       "      <td>60632.036654</td>\n",
       "      <td>r</td>\n",
       "      <td>-0.850344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>4</td>\n",
       "      <td>60632.060994</td>\n",
       "      <td>23.667778</td>\n",
       "      <td>712931</td>\n",
       "      <td>z</td>\n",
       "      <td>60632.061596</td>\n",
       "      <td>712931</td>\n",
       "      <td>0.071836</td>\n",
       "      <td>21.486596</td>\n",
       "      <td>9233.395339</td>\n",
       "      <td>610.905922</td>\n",
       "      <td>z</td>\n",
       "      <td>60632.061596</td>\n",
       "      <td>z</td>\n",
       "      <td>-2.181181</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    filter_code       mjd_sim    mag_sim  obshistid filter_sim       mjd_dia  \\\n",
       "0             2  60567.219180  21.397669     664557          r  60567.219782   \n",
       "1             3  60567.234411  21.431454     664587          i  60567.235013   \n",
       "2             4  60567.244111  21.719140     664607          z  60567.244713   \n",
       "3             2  60578.271042  21.354127     671659          r  60578.271644   \n",
       "4             1  60578.280324  21.694316     671678          g  60578.280926   \n",
       "5             3  60578.285857  21.346081     671688          i  60578.286459   \n",
       "6             4  60578.295556  21.825918     671708          z  60578.296158   \n",
       "7             5  60578.307755  22.263662     671734          y  60578.308357   \n",
       "8             2  60581.174302  21.450943     674105          r  60581.174904   \n",
       "9             1  60593.173940  23.101931     684488          g  60593.174542   \n",
       "10            5  60593.201370  22.608499     684544          y  60593.201972   \n",
       "11            2  60596.178013  22.270623     686469          r  60596.178615   \n",
       "12            1  60596.187712  23.396907     686489          g  60596.188314   \n",
       "13            3  60596.193244  22.072659     686499          i  60596.193846   \n",
       "14            4  60596.202943  22.472107     686519          z  60596.203545   \n",
       "15            5  60596.215142  22.573407     686545          y  60596.215744   \n",
       "16            2  60605.134462  22.778590     693871          r  60605.135064   \n",
       "17            5  60605.171175  22.502005     693946          y  60605.171777   \n",
       "18            2  60608.127220  22.936279     696247          r  60608.127822   \n",
       "19            1  60608.136502  24.292038     696266          g  60608.137104   \n",
       "20            3  60608.142034  22.400639     696276          i  60608.142636   \n",
       "21            4  60608.151733  22.571821     696296          z  60608.152335   \n",
       "22            5  60608.163933  22.559708     696322          y  60608.164535   \n",
       "23            2  60611.119189  23.094521     698622          r  60611.119791   \n",
       "24            1  60611.128471  24.440580     698641          g  60611.129073   \n",
       "25            3  60611.134004  22.555700     698651          i  60611.134606   \n",
       "26            5  60611.155902  22.649910     698697          y  60611.156504   \n",
       "27            2  60621.122783  23.508854     704746          r  60621.123385   \n",
       "28            5  60621.159496  23.115017     704821          y  60621.160098   \n",
       "29            3  60624.093405  23.095192     706952          i  60624.094007   \n",
       "30            4  60624.103104  23.344373     706972          z  60624.103706   \n",
       "31            5  60624.115303  23.258472     706998          y  60624.115905   \n",
       "32            3  60627.291393  23.191451     709677          i  60627.291995   \n",
       "33            5  60627.313291  23.379125     709723          y  60627.313893   \n",
       "34            2  60632.036052  23.747787     712881          r  60632.036654   \n",
       "35            4  60632.060994  23.667778     712931          z  60632.061596   \n",
       "\n",
       "     visit   mag_err    mag_dia        psFlux   psFluxErr filter_dia  \\\n",
       "0   664557  0.009033  19.610946  51954.298318  430.379216          r   \n",
       "1   664587  0.010489  19.698708  47920.015598  461.672183          i   \n",
       "2   664607  0.012521  19.666216  49375.749296  568.633628          z   \n",
       "3   671659  0.008895  19.717774  47085.850480  385.539974          r   \n",
       "4   671678  0.020358  21.298140  10983.583655  205.931007          g   \n",
       "5   671688  0.010054  19.572688  53817.660622  498.132297          i   \n",
       "6   671708  0.012146  19.498688  57613.595367  644.364773          z   \n",
       "7   671734  0.020698  19.714040  47248.056561  900.609948          y   \n",
       "8   674105  0.011141  19.933641  38596.129793  395.892130          r   \n",
       "9   684488  0.074385  23.067606   2152.571205  147.471570          g   \n",
       "10  684544  0.026534  20.276792  28137.340049  687.511028          y   \n",
       "11  686469  0.041427  21.337737  10590.229808  404.050880          r   \n",
       "12  686489  0.159190  23.230260   1853.087931  271.697872          g   \n",
       "13  686499  0.025884  20.575759  21364.683865  509.285207          i   \n",
       "14  686519  0.021702  20.212251  29860.670592  596.795208          z   \n",
       "15  686545  0.033466  20.332999  26717.792021  823.473242          y   \n",
       "16  693871  0.048667  22.051219   5489.243765  246.036487          r   \n",
       "17  693946  0.033979  20.480992  23313.259952  729.486718          y   \n",
       "18  696247  0.059354  22.403800   3967.161602  216.864375          r   \n",
       "19  696266  0.173746  24.204006    755.784122  120.944561          g   \n",
       "20  696276  0.035801  21.450470   9545.790759  314.726180          i   \n",
       "21  696296  0.022675  20.578074  21319.168260  445.118346          z   \n",
       "22  696322  0.034725  20.659315  19782.167896  632.615017          y   \n",
       "23  698622  0.071238  22.413331   3932.489517  258.012421          r   \n",
       "24  698641  0.168484  24.326891    674.906577  104.731225          g   \n",
       "25  698651  0.044743  21.594204   8362.159167  344.553900          i   \n",
       "26  698697  0.038859  20.833420  16851.248510  603.064822          y   \n",
       "27  704746  0.072668  22.687504   3054.910661  204.460426          r   \n",
       "28  704821  0.060528  21.273221  11238.585132  626.510025          y   \n",
       "29  706952  0.068156  22.045376   5518.862250  346.433388          i   \n",
       "30  706972  0.042003  21.195894  12068.193213  466.842536          z   \n",
       "31  706998  0.071504  21.380532  10180.921902  670.470176          y   \n",
       "32  709677  0.140924  22.364977   4111.582997  533.663023          i   \n",
       "33  709723  0.120211  21.638405   8028.566688  888.906650          y   \n",
       "34  712881  0.136071  22.897444   2517.807350  315.546726          r   \n",
       "35  712931  0.071836  21.486596   9233.395339  610.905922          z   \n",
       "\n",
       "             mjd filter  delta_mag  \n",
       "0   60567.219782      r  -1.786722  \n",
       "1   60567.235013      i  -1.732747  \n",
       "2   60567.244713      z  -2.052925  \n",
       "3   60578.271644      r  -1.636353  \n",
       "4   60578.280926      g  -0.396176  \n",
       "5   60578.286459      i  -1.773393  \n",
       "6   60578.296158      z  -2.327230  \n",
       "7   60578.308357      y  -2.549622  \n",
       "8   60581.174904      r  -1.517302  \n",
       "9   60593.174542      g  -0.034324  \n",
       "10  60593.201972      y  -2.331706  \n",
       "11  60596.178615      r  -0.932887  \n",
       "12  60596.188314      g  -0.166647  \n",
       "13  60596.193846      i  -1.496901  \n",
       "14  60596.203545      z  -2.259856  \n",
       "15  60596.215744      y  -2.240409  \n",
       "16  60605.135064      r  -0.727371  \n",
       "17  60605.171777      y  -2.021012  \n",
       "18  60608.127822      r  -0.532479  \n",
       "19  60608.137104      g  -0.088033  \n",
       "20  60608.142636      i  -0.950169  \n",
       "21  60608.152335      z  -1.993746  \n",
       "22  60608.164535      y  -1.900393  \n",
       "23  60611.119791      r  -0.681190  \n",
       "24  60611.129073      g  -0.113689  \n",
       "25  60611.134606      i  -0.961496  \n",
       "26  60611.156504      y  -1.816491  \n",
       "27  60621.123385      r  -0.821351  \n",
       "28  60621.160098      y  -1.841796  \n",
       "29  60624.094007      i  -1.049815  \n",
       "30  60624.103706      z  -2.148479  \n",
       "31  60624.115905      y  -1.877940  \n",
       "32  60627.291995      i  -0.826474  \n",
       "33  60627.313893      y  -1.740720  \n",
       "34  60632.036654      r  -0.850344  \n",
       "35  60632.061596      z  -2.181181  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "joint_lc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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HEhMTlZCQUOH6tddeq+eff16maWratGlnXbcD1ulp66CHFo2qdH5O1m1KXD6WETV1tH//fj3wwAOaM2eOTpw4ocLCQm3fvl1HjhzRp59+qsGDB1sdEQAAoNFanbNaptxb7cOUqdU5qz0TCKgFn9gNqrS0VOvXr9eePXtUXFwsh8OhmpbSsdvt2rNnj5YsWaKioiKZpqmlS5fqhRde8FJq7zh58qQSExN19dVXKy8vT3PmzNGMGTM89rycnBzdeeedkqR27drpwQcfrLLd7bffrueee07btm3TbbfdpkGDBqljx44ey4X6ERp+jtURGrzc3FwNHTpUkyZN0r333itJCgkJUUhIiMXJAAAAIElFJ4tq1+9U7foBnmB5sSYlJUUPPfSQ9u/fX6v+pmk6pxoUFfnfH67mzZtrzpw5zuO//OUvHi3WTJ8+XceOHZMk3XDDDQoODq6yXUBAgCZMmKDp06fr+PHjSk5O1ty5cz2WC/AFp0+fVmxsrLZv364JEyZYHQcAAABVCGleu5doIc14+QbfYWmx5oUXXtADDzwgSTWOpDmbM9eEiIqKqpdcvuzMbYPr26+//qp33nnHeTxy5Mhq248aNUrTp0+XVLbQc3Jystq3b++xfIDVPv74Y/3444+SpP79+2vo0KEKDQ1V06ZNK7Vt0aKFunXrpuHDh6tVq1bejgoAANBoRUdEy5Dh1lQoQ4aiI6I9Fwpwk2XFml9++UUPP/ywpKoLNYZh1FjAObPN4MGDNX/+/PoP2oi8//77KikpcR7369ev2vYXXXSRWrduraNHj6qkpESpqanOKVSAP+rcubMCAgLkcDi0Y8cO7dixo8Y+bdq00fz583X99dd7ISEAAAAi2kQopkeM0raludxnRM8R6tymswdTAe6xrFjzv//7vyopKZFhGIqJiVF0dLTatWsnwzBUWlqqe++9VzNmzKhypEZpaalyc3O1YMECRUREaPHixR7d37yx+Prrr53fO3furDZt2lTb3jAMXXrppcrIyJAkLV26lGIN/Noll1yijIwM3XfffcrMzHSpT2FhoeLj4xUREaG+fft6OCEAAAAkKfHKRKXvSHdp++6ggCDNGOS5pSaA2rCsWLN69WoFBgbq3Xff1bXXXlvp+hdffOFcF+Vs7rjjDl1xxRV67rnn9Nxzz3kybqPwzTffOL936dLFpT4RERHOYs26des8kgvwJadOndLRo0e1fv16NW/eXDt37tSvv/6qwsJCHT9+XA6HQ3a7XcePH9fevXv11Vdfaffu3Zo3bx7FGgAAAC+xdbQpZXSK4t+Lr7ZgExQQpJTRKbJ1tHkxHVAzy4o1u3bt0tixY6ss1EjSLbfcojvvvPOsuxFJUocOHfTUU09p/Pjx6t27tyZOnOipuH7v5MmT2rp1q/P497//vUv9zmx36NAh7d27Vx06sC00/NPcuXN1zz336J133lGfPn0kSb169aq2j8PhUEJCgnbt2uWNiAAAAPg/cb3ilDExQ9M/m66VO1ZWuGbI0IieIzRj0AwKNfBJTax68NGjRzV48OCzXh80aJBKS0u1YsWKau8zZswYBQQE6P7771d+fn59x2w0Dh06VGGNoHbt2rnULzQ0tMKxK2t4AA3Rf/7zH02ePFn9+vVTXFycy/0CAgIUFRWliIgIz4UDAABAlWwdbVoUt6jS+azbs7Q8fjmFGvgsy0bWtGrVSqdOnaq2zV133aXHH39cMTExZ23TtGlTdejQQbt379Ybb7yhqVOn1nfURuHw4cMVjl3ddeq37Y4cOeLyM/Py8lxu+1v79u2rdV/AXaZp6m9/+5sk6dxzz3Wrr8Ph0JIlSzR79mxPRAMAAEAthIeEWx0BqJZlI2u6devmXOvkbG6++WZt375dzz///FnblJaWOkfUpKam1mvGxqSoqKjCcbNmzVzqV5diTXh4eK0/Ne1UBdSngwcPOguEH330kcv/rsnJydHIkSM1ePBg/jsLAPBbBcUFMpKMCp+C4gKrYwFAg2bZyJr+/fvrtdde04QJE3TVVVdJkux2u4KCgpxtWrdurbvvvltTp05V165dNXLkyEr3mT9/vk6ePCmJKTh10aRJxbqdYRgu9QsICKhwXNN260BD1K5dO/3xj3/UN998o5KSEo0ePVoDBw7Uddddp969eyssLEyBgYE6fvy49u3bp82bN+uzzz7T2rVr9fe//13333+/1T8BAAAAQANiWbHmxhtv1Msvv6zhw4erR48eOnDggA4fPqybbrpJCxcudLZ74IEH9MorryguLk7jx49XQkKCzj//fO3fv1/Lli3TSy+9JMMwZJqmiouLrfo5DV5wcHCF45qmqJUrL5SVa926tcvP3L17t8ttf2vfvn2MVKhBSGiwPjQftzqG3/jggw+UkJCgVatWSZK+/PJLffnll1W2bdKkiUaMGKH169erZ8+e3owJAIBP2FW0S6HBoTU3BABUybJiTb9+/RQTE6MVK1Zo27ZtzhEZ//73vzV+/HgNGTJEUtn6EDNnztT999+vN998U2+++WaF+5w5kqN79+5eyT59+nQ98cQT9X7fLVu26MILL6z3+7qibdu2FY5dLdb8tl1ISIjLz+zUqZPLbQGrhYWFKT09XWvWrFFKSoq+/vpr7dy5U8XFxQoODta5556riy++WFFRURozZgwLCgMAGoXMPZma9tm0Sudt822K6RGjxCsTWcAVAGrBsmKNJP3zn//U5Zdfrr1791aYdnPixIkK7f76179qzZo1Wrp0qXMUTbnyY8MwFB8f77Xs/qZDhw5q1qyZs/hy6NAhl/r9tl2PHj3qPRvgSwYNGqRBgwZZHQMA0MgUFBco7NmwCufyH8q3dPRK6pZUxb8XL7vDXumaKVNp29KUviNdKaNTFNfL9Z0UATQeBQVSWMV/tSk/XwplYJ61xZr27dvr22+/1Z133qm0tDSZpqnRo0dXufvTokWLNH78eL333nuS/rumSnnh5oorrtCDDz7oldwDBgzQX//613q/7+9+97t6v6ermjRpom7dumnz5s2SXN9tae/evc7vbdq00XnnneeRfAAAAKjIyqlGmXsyz1qoOZPdYVf8e/HKmJjBCBtYJjQ4VGYia2uiYbG0WCNJHTt21LJly3Tq1CmdOHFCbdq0qbJdixYt9O6772rJkiWaO3euNmzYoKNHj6pr16664YYb9PDDD1dYnNiTYmJiqt1OvKEaMGCAs1iza9cul/qcue5M//79PZILAABfxNtAeIsvTjVK+iKpxkJNObvDruQ1yVoev9zDqQDAf1herCnXrFkzl7aLvv7663X99dd7IVHjM3ToUC1YsECS9Msvv+j48eNq2bJltX1++OEH5/err77ao/kAAAAaG1+capRTmKMV21a41Sdta5pyC3PVuU1nD6UCAP/SpOYmDYPdbld+fr7VMRq0ESNGOHeFKi0t1fr166ttv3PnThUUFEgqm0Y1atQoj2cEAMCXuTgwFXCJu1ONMvdkeiXX6pzVMuXelBJTplbnrPZMIMAPFBQXyEgyKnwKigusjgUL+U2xZtGiRfr9739vdYwGrXXr1ho7dqzzeNmyZdW2X7p0qfP7//t//0+dO/OmBADQOGRmSgkJlc/bbFJsbNl1oK5qM9XIG4pOFtWu36na9QOAxshvijXbt2+3OoJXHDhwoMKxw+Fwue+SJUt0/vnnKywsTHPnzq2yzWOPPeac+pSSknLWLbxN03Ruox4QEKDHHnvM5RwAADRkqalSVJSUnl75mmlKaWll11NTvZ8N/qMuU408LaR5SO36NatdPwBojPyiWPPjjz/qjTfesDqGV3z++ecVjs9cM6Y6J06c0E033aTdu3eroKBAd911l3JzK/+PedeuXTVr1ixJUl5enl588cUq77do0SJt3LhRkvTggw+qX79+7vwMAAAapMxMKT5estcw2MFuL2vHCBvUli9PNYqOiJYhw60+hgxFR0R7JhAA+CGfWGB48+bN+vDDD7Vhwwbt3LlTR48e1fHjx53bclensLBQRUVFMk3TuZ23v8nPz9e+ffv06aefaubMmRWuzZw5U82aNdPAgQMVGhqqDh06VHkP0zQr/PM0TVMlJSVVtr3//vtVWFio5ORkPfbYYwoPD68wPSo9PV2TJ0+WJN16663O4g4AAP4uKanmQk05u11KTpaWswEOasGXpxpFtIlQTI8YpW1Lc7nPiJ4jWFwYANxgabEmLy9Pt99+u1auXFnhvCtFmsYkJiZG69atq/LasWPHdO+990qSgoODdezYsSrbtWzZUq+//roefvhh2e12zZgxQ926dTvrM5OSkhQZGampU6cqPj5ezzzzjCIjI7Vjxw6tXbtWYWFhevbZZ3XnnXfW/QcCANAA5ORIK9yblaK0NCk3V2JZN7jL16caJV6ZqPQd6S6tqRMUEKQZg2Z4IRUA+A/LijUFBQW64oortH//fmdxpnxkTG1GyPhzgScrK6te7jNu3DiNGzfO5fZjxozR9ddfr2+//Vbr169XYWGhLr/8ciUnJ2vgwIFq2rRpveQCAKAhWL26bE0ad5hmWb8JEzyRCP6sfKqRO1OhvDnVyNbRppTRKTXuVhUUEKSU0SmydbR5JRcA+AvLijUzZ87Uvn37ZBiGDMOoNE0HvqFJkybq37+/+vfvb3UUAAAsVVTL2SW17YfGrSFMNYrrFaeMiRma/tl0rdxRcaS8IUMjeo7QjEEzKNQAQC1YtsBwWlqas0hjGIYmT56s1atXKz8/X3a7XaWlpTV+HA6H8vPz9a9//UvNmze36qcAAIBGIKSWs0tq2w9IvDJRQQFBLrW1aqqRraNNi+IWVTqfdXuWlscvp1ADALVkWbFm//79ksqmPL300kt65ZVXNGjQILVr106Bga4N+DEMQ+3atdONN96oMWPGeDIuAABo5KKjJXdnahtGWT+gNsqnGtVUsPHFqUbhIeFWRwCABs2yYk1ISIhM01TLli11++231/l+V1xxBdOogDMUFJT9JeHMT0GB1akAoOGKiJBiYtzrM2IEiwujbsqnGg3rOqzSNUOGYnvGKmNihuJ6xVmQDgDgKZatWWOz2bRixQq1b9/e5ZE01bnjjjs0fvz4ekgGAABQtcREKT3dte27g4KkGWyAg3pg62jTJzd9opzCHH2R84WKThUppFmIoiOifWI77NDgUJmJvDQFgPpkWbFm7NixWrFihQ4dOlQv9wsICFBwcHC93AsAAKAqNpuUkiLFx1dfsAkKKmtn851ZKfADEW0iFPGHCKtjAAC8wLJiTXx8vJ544glt3bpV27dvV7du3ep0v1WrVunJJ5/UZ599Vk8JYZXIyMga25w+fdoLSQAAqCwuTsrIkKZPl1ZW3ABHhlE29WnGDAo1AACg9ixbsyYgIECvv/66AgMD9fzzz9f5ftnZ2friiy/qIRkAAED1bDZpUeUNcJSVJS1fTqEGAADUjWUjaySpf//+euWVV3THHXcoKipKN9xwQ63vtXTp0npMBitt2rSpxjZ5eXkKD2eXAQCAb+F/mgA0VgUFUlhYxXP5+VJoqDV5gIbO0mKNJN16662y2+0aP368Nm7cqAsuuMDlviUlJfr111+1fPlyffPNNzLc3U8TAACglkJDJTaiBAAAnmB5sWbHjh3Kzs5W06ZN9dRTT1kdBwAAAAAAwFKWFmvmzZunv/3tbzp16pQkyazl6ylG1AAAAAAA0PDt2sX0OcnCBYZXrlypyZMn6+TJk7Uu0pSra38AAAAAAOA9mZlSQkLl8zabFBtbdr0xs2xkTfmUJ8MwZJqmAgMDNWDAAEVGRqpt27YKDKw5mmmaKi4u1vfff8+W3QAAAAAANACpqVJ8vGS3V75mmlJampSeLqWkSHFx3s/nCywr1mRmZjqnL1155ZV666231KFDh1rfLyEhQYsXL66veAAAAAAAoJ5lZp69UHMmu72sXUZG2WibxsayaVBNmjSRaZpq2rSp3n333ToVaiRp0KBB9ZQM8F+7dlmdAAAAAEBjlpRUc6GmnN0uJSd7No+vsqxYEx4eLknq2LGj2rVrV+f7XXTRRRo5cmSd7wP4A+Z/AgAAAA3briL/e9OakyOtWOFen7Q0KTfXI3F8mmXFmmHDhkmSDh06VC/3GzhwoJYuXVov9wIastRUKSqqbI7nb5XP/4yKKmsHAAAAeAqjul2TuSdTCamV37Ta5tsU+3asMvf4z5vW1avL/k7iDtMs69fYWFasmThxopo0aaIjR47o559/rvP9HA6Hjhw5Ug/JgIbL3fmfjLBxX0FBgZ599lldffXVznNffvmloqKi1KpVK9lsNm3fvt3ChAAAAN7FqO7aS92Sqqg3opS+o/KbVlOm0ralKeqNKKVu8Y83rUVF3u3XkFlWrOndu7fuuecemaapJUuW1Pl+ixcvVtu2beshGdBwMf/TM06ePKn33ntPo0ePVseOHfXwww87i8ypqakaMmSI1q5dq+LiYmVlZenvf/+7xYkBAAC8g1HdtZe5J1Px78XL7qj+/8DbHXbFvxfvFyNsQkK8268hs6xYI0nPPvushg0bphdeeEGFhYV1utfu3bvrKRXQMDH/03MmTJigDz/8UKtWrdLp06ed5zds2KBJkyZpzJgxCgsLc54/ePCgFTEBAAC8ilHddZP0RVKNhZpydoddyWsa/pvW6Gjp/zaFdplhlPVrbCwt1gQGBur9999Xv379NGrUKBUXF9fqPrt379abb75Zz+mAhoX5n57zzjvv6I033tCsWbOc506dOqVJkyZp1apVeuutt7Ru3ToNHTpUbdu21Z133mlhWgAAAO9gVHft5RTmaMU29960pm1NU25hw37TGhEhxcS412fECKlzZ4/E8WmBVj34uuuuU9H/TTw7ffq01q5dq/PPP18hbo5vOnHihPLz82Wapgx3S3SAH2H+p+f17NnT+X3//v1KTk7WpZdeKknq1KmTVq1aZVU0AAAAr6rLqO7G+Bfv31qds1qm3HvTasrU6pzVmvCHCR5K5R2JiWXT5lwp9AUFSTNmeD6TL7KsWBMcHKwPPvigQoHl8OHDOnz4sFWRgAaN+Z+e16xZswrHN9xwg0VJAAAArFWXUd0TGnatoV4UnazdG9OiUw3/TavNJqWk1DyFLiiorJ3N5r1svsSyaVC33357hWPDMOr0ARo75n963znnnGN1BAAAAEswqrtuQprX7o1pSDP/eNMaFydlZEjDhlW+Zhhlu4hlZJS1a6wsK9ZceeWVuuCCCyRJpmnW+QM0dsz/BAAAgLcwqrtuoiOiZci9N62GDEVHRHsmkAVsNmnRosrns7Kk5csb74iacpYuMDx+/HiZpqkbbrhBW7du1alTp1RaWuryx+FwKD8/XwsXLlTLli2t/CmAT0hMLBsu6IrGPP8TAAAAdcOo7rqJaBOhmB7uvWkd0XOEOrfx/zet4eFWJ/ANlq1ZI0nx8fGaPn26Zs6cqe7du7vd3zAMtWvXTuPHj9e6dev08ssveyAlvC0yMrLGNmdun4z/Yv4nAAAAvKF8VHdamut9GNVdUeKViUrfke7S9t1BAUGaMYg3rY2JpSNrIiIiNGDAABUWFtb5XpdeeinToQAx/xMAAADewajuurF1tClldIqCAqr/hxgUEKSU0SmydeRNa2Ni6cgaSVq2bJlatGhR5/vExsYqPT29HhLBaps2baqxTV5ensIZH3dW5fM/w8Iqns/Kki67zJpMAAAA8C+M6q67uF5xypiYoemfTdfKHSsrXDNkaETPEZoxaAaFmkbI0pE1ktS2bVs1b968zvcJCwvT0KFD6yER4L+obwEAAKA+Maq77mwdbVoUV3ml3azbs7Q8fjmFmkbK8pE1AAAAAICGi1HdnhEewpvWxszykTUA0FCUlpZWOC4pKbEoCQAAgO9jVDdQexRrAMBFubm5FY5dWV8JANBwFBSUTds481NQYHUqAEBjRLEGAGqwbds2vfbaa5o+fXqF87fddps++ugj7dy5U6dOnbIoHQAAAAB/w5o1AFCNcZlMZgAAIABJREFUAwcOqGfPnlVey8rKUkxMjCTpo48+0vDhw70ZDQAAAICfolgDANVo166dTNO0OgYAAACARoRpUAAAAMBZ7NpldQIAQGNEsQYAAACNXmamlJBQ+bzNJsXGll1H1ViYGQDqH8UaAAAANGqpqVJUlJSeXvmaaUppaWXXU1O9nw1oKEJDy/68nPkJDbU6FdBwUawBAABAo5WZKcXHS3Z79e3s9rJ2jLABAHgDxRoAAAA0WklJNRdqytntUnKyZ/MAACBRrAH8FkNRAQCoXk6OtGKFe33S0qTcXI/EAQDAiWINAAAAGqXVq8teZrjDNMv6AQDgSRRrAAAA0CgVFXm3HwAArqJYAwAAgEYpJMS7/QAAcFWg1QEAAAAAK0RHS4bh3lQowyjrh+rt2sVaeQBqVr7OJipjZA0AAAAapYgIKSbGvT4jRkidO3skToOUmSklJFQ+b7NJsbFsdQ4AtcXIGvicyMjIGtucPn3aC0kAAIC/S0yU0tNd2747KEiaMcPzmRqK1FQpPr7qf3amWbZzVnq6lJIixcV5Px8ANGSMrAEAAECjZbOVFROCgqpvFxRU1s5m804uX5eZefZCzZns9rJ2jLABAPcwsgY+Z9OmTTW2ycvLU3h4uBfSAAAAfxcXJ2VkSNOnSytXVrxmGGVTn2bMoFBzpqQk10YjSWXtkpOl5cs9mwkA/AnFGgAAADR6Npu0aJEUFlbxfFaWdNll1mTyVTk50ooV7vVJS5Nyc1nvBwBcRbEGAAAAOAsG8la2erX7u7eYZlm/CRM8kQho+EKDQ2Umsi0S/os1awAAAAC4rKjIu/0AoDFiZA0AAAAgKTTU/REjjVFIiHf7AUBjxMgaAAAAAC6Lji5beNkdhlHWDwDgGoo1AAAAAFwWESHFxLjXZ8QIFhcGAHdQrAEAAADglsREKSjItbZBQWVbnwMAXMeaNYCfKiguUNizFfcfzX8oX6HBoRYlAgAA/sJmk1JSpPh4yW4/e7ugoLJ2Npv3sgGAP2BkDQAAAAC3xcVJGRnSsGGVrxmGFBtbdj0uzvvZAKChY2QNAAAAgFqx2aRFi6SwioN5lZUlXXaZNZkAwB8wsgYAAABAvQoPtzoBADRsFGsAAAAAAAB8CMUaAAAAAAAAH0KxBgDc8MQTT6hNmza6/PLLtWPHDqvjAAAAAPBDFGsAwEXbtm3T9OnTVVRUpPXr12vGjBlWRwIAAADghyjWAICLTNO0OgIAAACARoBiDQC4qGfPnpo2bZpat26tPn36aObMmVZHAgAAAOCHKNYAgBtmzZqlI0eOaP369erevbvVcQAAsFxoqGSaFT+hoVanAoCGLdDqAMBvRUZG1tjm9OnTXkgCAAAAAID3MbIGaER2Fe2yOgIAAAAAoAaMrIHP2bRpU41t8vLyFB4e7oU0DVPmnkxN+2xapfO2+TbF9IhR4pWJsnW0WZAMAAAAAFATRtYAfiZ1S6qi3ohS+o70StdMmUrblqaoN6KUuiXVgnT+w+FwKCcnx+oYAIBGoqBAMoyKn4ICq1MBADyFYg3gRzL3ZCr+vXjZHfZq29kddsW/F6/MPZleSuY/vvnmG/31r39Vp06d2A0KAAAAgEcwDQrwI0lfJNVYqClnd9iVvCZZy+OXezhVw7dz504tWLBAKSkp2rlzp9VxAAAAAPg5RtYAfiKnMEcrtq1wq0/a1jTlFuZ6KJH/OHjwoC677DLNnDlTzZs3tzoOAAAAAD9HsQbwE6tzVsuU6VYfU6ZW56z2TCA/0rdvX40ePVrjx4/XwIEDrY4DAAAAwM9RrAH8RNHJotr1O1W7fo1V+/btrY4AAAAAwM+xZk0DUlJSom+++UYbN27UkSNH1LFjR/Xt21e9evWyLJNpmtq8ebMWLlyoZ555xrIckEKah9SuX7Pa9WusAgICrI4AAIAkadcuKTTU6hQAAE9gZE0DMX/+fEVERGjw4MF6//33tXHjRs2cOVMXXXSRhgwZoi1btnjkuX/5y19kGMZZP02aNNHFF1/M1BAfEB0RLUOGW30MGYqOiPZMIAAAUC8yM6WEhMrnbTYpNrbsOgDAv1Cs8XElJSUaN26c7rjjDpWUlCgrK0srV67U22+/rZ9//lnTpk3T559/riuuuEKffPJJvT57+/btSk1NrbFdt27dFBsbW6/Phvsi2kQopkeMW31G9Byhzm06eygRAACoq9RUKSpKSk+vfM00pbS0susu/F82AEADQrHGx02ePFkpKSmSpP/85z+69NJLndcCAwM1a9YsjR07VkePHtWYMWP0888/19uzn332WZWWllbbpnnz5kpMTFSTJvxXyRckXpmooIAgl9oGBQRpxqAZHk4EAABqKzNTio+X7Pbq29ntZe0YYQMA/oO/YfuwJUuW6J///Kck6ZprrtGgQYOqbPfEE08oMDBQR44c0dixY2Wa7u0IVJWCggK9+eabmjRpkkzTPOvnxIkTuummm+r8PNQPW0ebUkan1FiwCQoIUsroFNk62ryUDAAAuCspqeZCTTm7XUpO9mweAID3UKzxUadPn9aUKVOcx7fccstZ23bt2lXR0dGSpB9++EGLFy+u8/NffPFFnTp1Sg899FCd7wXviusVp4yJGRrWdVila4YMxfaMVcbEDMX1irMgHQAAcEVOjrRihXt90tKk3FyPxAEAeBnFGh+1bNky7dy5U5LUtGlTDR8+vNr2o0aNcn7/xz/+UadnHz9+XK+88ori4uLUvXv3Ot0L1rB1tGlR3KJK57Nuz9Ly+OWMqAEAwMetXl22Jo07TLOsHwCg4aNY46OWLFni/B4ZGalWrVpV2/6KK65wfs/Ozq7T7lALFizQoUOHdOTIEc2bN0/Z2dn1MrUK1gsPCbc6AgAAcEFRkXf7AQB8C8UaH/X11187v5+5qPDZ9O7dW4GBgc7jpUuX1uq5DodDc+bMkSStXLlSkyZN0iWXXKKwsDBNmDBBH3/8MYUb4P/wZwEA4CkhId7tBwDwLRRrfND+/fuVe8aE4y5dutTYp1mzZjrvvPOcx+vWravVs9955x3l5ORUOn/gwAH961//0jXXXKPevXtr7dq1tbo/0NAdP368yu8AANSn6GjJMNzrYxhl/QAADR/FGh+0YcOGCse///3vXep3Zrvs7OxaPXvXrl2y2Wzq0qWLgoKq3lFo06ZNio6O1sKFC2v1DKAh++WXX5zff/75ZwuTAAD8WUSEFBPjXp8RI6TOnT0SBwDgZYE1N4G3HTx4sMJxu3btXOoXGhrq/L5jx45aPfuRRx7RI488Ikk6efKkvv32W6WlpWnBggU6fPiws11JSYluvfVWhYSE6LrrrqvVs/Ly8mrVT5L27dtX676Auw4fPqy9e/dq+fLl+v77753ns7OzNXXqVCUkJKhHjx5q0aKFhSkBAP4mMVFKT3dt++6gIGnGDM9nAgB4B8UaH3RmUUSSmjdv7lK/M9s5HA4dP35cLVu2rHWO5s2b68orr9SVV16pmTNnas6cOUpOTpb9//4fQ2lpqcaPH68ff/xRnWvxGic8nMVu0TDceeedeuedd6q8Nnv2bM2ePVuTJk3Sa6+95uVkAAB/ZrNJKSlSfHz1BZugoLJ2NjZ7BAC/wTQoH1T0m2X8mzVr5lK/3xZ1jhw5Um+ZWrZsqWnTpikrK6vCGjrHjh1TYmJivT0H8EWLFy+WaZrVfijUAAA8IS5OysiQhg2rfM0wpNjYsutxcd7PBgDwHEbW+KAmTSrW0AwXV5cLCAiocOyJnWp69+6tzz77TP3799f+/fslSe+++65ee+01l0cAldu9e3etc+zbt0/9+vWrdX8AAICGwmaTFi2SwsIqns/Kki67zJpMAADPoljjg4KDgyscnzp1yqV+J0+erHDcunXrest0poiICD333HMaN26cpLIdcbKzs2Vzc+xtp06dPBEPAACgUWBGOQD4L6ZB1cL06dNlGEa9f3766SdJUtu2bSs8z9VizZntAgMDKxV96lN8fLzOP/9853FdRskAAAAAAID/oljjg85cE0aSDh065FK/M9t169bN5elTtRVzxn6Svx3VAwAAAAAAaodpULUwYMAA/fWvf633+/7ud7+TJPXs2bPCeVe3qd67d6/ze69eveov2Fl07drV+d3V7cXhPaHBoTIT63/dIgAAAACAZ1GsqYWYmJgKo0rqW2hoqLp3765ffvlFkrRr164a+zgcjgrFmv79+3ssX7k2bdo4v7dv397jzwMAAGisQkMlD+wdAQDwUUyD8lFDhw51ft+wYUON7X/66acKU5Guvvpqj+Q6U0FBgSSpVatWuuCCCzz+PAAAAAAAGgOKNT5qzJgxzu/Z2dmy2+3Vtv/uu++c37t3765LL73UY9nKff3115LKRhq5u203AAAAAACoGsUaHzV48GD16NFDUtnW2KtWraq2/dKlS53f7777bo9mk8rWx/nkk08kSZMnT/b48wAAAAAAaCwo1vgowzCUnJzsPF64cOFZ2+7du1crV66UJHXo0EG33HJLle1efvllhYWF6fzzz9cHH3xQ6XpeXp5ef/11LVu2TCdOnKg234MPPqjTp0/r5ptv1uDBg134RQAAAAAAwBUUa3zY2LFjNXLkSEnSkiVLKkx1OtPjjz+uU6dOSZIWLFigc845p1KbHTt26L777lNBQYF2796tcePGOfuUi46O1q233qprr71WXbt21bJly6p83nPPPafFixfrqquu0quvvlqXnwgAAAAAAH6DYo2Pe/vttxUTEyPTNDVq1Cht3LjRea20tFRPPfWUXn/9dQUGBmru3Lm65pprqryPaZoyz9hCwOFwyOFwVGhz/Phx5/f9+/fr2muv1aRJk5SbmyvTNPXzzz9r4sSJevjhh3X33XcrLS2NtWoAAAAAAKhnFGt8XHBwsD744APNnDlTxcXFuuyyy3TVVVfpxhtv1EUXXaRHH31UvXv3Vnp6uu64446z3qdbt2569tlnde6556pTp07697//rZYtW1Zok5KSoq5du1Y4N2/ePEVERCgoKEiXXHKJiouL9c033+jll19W06ZNPfKbAQAAAABozAzzzOEW8GnHjx/XF198oS1btujEiRNq166d+vXrpz59+tTrc9atW6cNGzY4t+Zu27atLrzwQl1++eUKDg6u12fVVl5ensLDwyVJu3fvVqdOnSxOBAAAAADwZ978eyjFGjRIFGvQGPyaU6js1bkqLjqp4JDm6h3dWe0j2lgdCwAAAGiUvPn30ECP3RkAUCtbM/cqJWmNslZs05nldMOQ+sb0UHziIPW0dbAuIAAAAACPYs0aAPAhX6Vu0ZSohcpMq1iokSTTlDLTtmlK1EJ9lbrFmoAAAAAAPI5iDQD4iK2ZezU7fqlK7I5q25XYHZodv1RbM/d6KRkAAAAAb6JYAwA+IiVpTY2FmnIldodSktd4OBEAAAAAK1CsAQAf8GtOobJWbHOrT1baNuXnFnooEQAAAACrsMAwfE5kZGSNbU6fPu2FJA3cyQIpNaziubh8qXmoNXlQrezVuZXWqKmJaZb1GzqBHaIAAAAAf8LIGgDwAcVFJ2vZ71Q9JwEAAABgNUbWwOds2rSpxjZn7m8P+IPgkOa17NesnpMAAAAAsBojawDAB/SO7izDcK+PYZT1AwAAAOBfKNYAgA9oH9FGfWN6uNWn74geCuvMejUAAACAv6FYAwA+Ij5xkAKDAlxqGxgUoPgZgzycCAAAAIAVKNYAgI/oaeugKSnX1ViwCQwK0JSU69TT1sFLyQAAAAB4E8UaAPAhA+J6aXbGzbLF9qi0ho1hSLbYHpqdcbMGxPWyJiAAAAAAj2M3KADwMT1tHZS4fKx+zSnUj1/kqrjolIJDmql3dGfWqAEAAAAaAYo1AOCj2ke0UfsIijMAAABAY8M0KAAAAAAAAB9CsQYAAAAAAMCHUKwBAAAAAADwIRRrgMakeJfVCQAAAAAANaBYA/ijg5nSVwmVz39ik1bHll0HAAAAAPgkijWAv9mdKqVHSfvTq7hoSnvTyq7vTvV6tIYsJydHhmG4/fnggw+sjg4AAACggWHrbsCfHMyU1sZLpfbq25Xay9pdlSGda/NONj8xfPhwPfLII+ratauaNm1a4dqmTZs0bNgwlZaWSpIGDhyokSNHWhETgBcUFRQrIey5Cufeyn9AIaHBFiUCAAD+gmIN4E+yk2ou1JQrtUvZyVL0cs9m8iOtW7fWu+++q1atWlW6ZpqmRo8e7SzUNGvWTPPmzZNhGN6OCQAAAKCBYxoU4C+O5Uh7V7jXZ2+aVJzrkTj+KDo6uspCjSTNnTtXX331lfN42rRpuvDCC70VDQAAAIAfoVgD+Iv81ZJMNzuZ0q+r6z+LHwoODtb1119f5bX9+/frkUcecR5HRkZWOAYAAAAAd1CsAfyFvah2/U7Xsl8jExoaqvHjx1d57b777lNRUdk/xyZNmmj+/PmV1rMBAAAAAFexZg18TmRkZI1tTp8+7YUkDUxQSO36Na1lP0iS0tLS9O677zqP77rrLvXv39/CRAAAAAAaOkbWAP4iLFqSu4vZGlL76PrP0kgUFxfr7rvvdh6Hh4frySeftDARAAAAAH/AyBr4nE2bNtXYJi8vT+Hh4V5I04C0ipA6xJQtGuyqDiOk4M4ei+TvZsyYodzc/y7Q/Morr6h169YWJgIAAADgDxhZA/iT3olSkyDX2jYJknrP8GweP7Z+/Xq98MILzuMxY8YoNjbWwkQAAAAA/AUjawB/cq5N+lOKtDZeKrWfvV2ToLJ259q8l82POBwO3XHHHXI4HJKktm3b6sUXX7Q4FQAA1igqKFZC2HMVzr2V/4BCQoMtSgQADR8jawB/Ex4nXZUhnTesiouG1CG27Hp4nNej+YsXX3xR69atcx4/++yzat++vYWJAAAAAPgTijWAPzrXJg1YVPn88Cwpejkjaupg165dmjHjv9PHBg8erFtuueWs7RcvXuyNWAAAAAD8CMUaoDFpyaLMdXX33Xfr2LFjkqTmzZtr7ty5Z23rcDg0e/Zsb0UDAAAA4Cco1gCAi5YsWaIPP/zQeZyYmKgePXqctf23336rkJAQb0QDAAAA4EdYYBgAXFBUVKT77rvPeXzJJZfooYceqrbPvHnz1LFjR09HAwA0AiziCwCNC8UaAHDBo48+qn379jmPZ82apQMHDlRoU1JSoqKiIv3000966623tHTpUk2dOtXbUQEAAAA0cBRrAKAGO3fu1GuvvVbh3MiRI13qy8gaAAAAAO6iWAMANejSpYtKS0utjgEAAACgkWCBYQAAAAAAAB9CsQYAAAAAAMCHUKwBAAAAAADwIRRrAAAAAAAAfAjFGgAAAAAAAB/CblCAv2oeKo0zrU4BAAAAAHATI2sAAAAAAAB8CMUaAAAAAAAAH8I0KPicyMjIGtucPn3aC0kAAAAAAPA+RtYAAADUk4JdRVZHAAAAfoCRNfA5mzZtqrFNXl6ewsPDvZAGAIDKtmbu1b+mfVbp/P22f6pvTA/FJw5ST1sHC5IBAAB/wMgaAAAAN3yVukVTohbqh/Sdla6ZppSZtk1Tohbqq9QtFqQDAAD+gGINAACAi7Zm7tXs+KUqsTuqbVdid2h2/FJtzdzrpWQAAMCfUKwBAABwUUrSmhoLNeVK7A6lJK/xcCIAAOCPKNYAAAC44NecQmWt2OZWn6y0bcrPLfRQIgAA4K8o1gAAALgge3WuTNO9PqZZ1g8AAMAdFGsAAABcUFx0spb9TtVzEgAA4O8o1gAAALggOKR5Lfs1q+ckAADA31GsAQAAcEHv6M4yDPf6GEZZPwAAAHdQrAEAAHBB+4g26hvTw60+fUf0UFjnNh5KBAAA/BXFGgAAABfFJw5SYFCAS20DgwIUP2OQhxMBvqlgV5HVEQCgQaNYA/irgoKy8fdnfgoKrE4FAA1aT1sHTUm5rsaCTWBQgKakXKeetg5eSgZYY2vmXj2TsLTS+ftt/1RS7GJtzdxrQSoAaPgo1gAAALhhQFwvzc64WX2Gda10zTAkW2wPzc64WQPielmQDvCer1K3aErUQv2QvrPSNdOUMtO2aUrUQn2VusWCdADQsFGsAQAAcFNPWwc9tGhUpfNzsm5T4vKxjKiB39uauVez45eqxO6otl2J3aHZ8UsZYQMAbqJYAwAAUE9Cw8+xOgLgFSlJa2os1JQrsTuUkrzGw4kAwL9QrAEAAAAaIKsW8f01p1BZK7a51ScrbZvycws9lAgA/A/FGgAAAMCH+doivtmrc2Wa7vUxzbJ+AADXUKwBAAAAfJQvLuJbXHSylv1O1XMSAPBfgVYHAAAAOJuigmIlhD1X4dxb+Q8oJDTYokSA97i7iO/sjBCvLG4dHNK8lv2a1XMSAPBfFGvgcyIjI2tsc/r0aS8kAQAAsE5tFvFNXD7Ww6mk3tGdZRhyayqUYZT1AwC4hmlQAAAAgI/x5UV820e0Ud+YHm716Tuih8I6t/FQIgDwP4ysgc/ZtGlTjW3y8vIUHh7uhTQAAADeV5dFfIdO8HxRJD5xkL5P3+HSyJ/AoADFzxjk8UwA4E8YWQMAAAD4GF9fxLenrYOmpFynwKCAatsFBgVoSsp1XllLBwD8CcUaoDHZtcvqBAAAwAUNYRHfAXG9NDvjZvUZ1rXSNcOQbLE9NDvjZg2I6+W1TADgLyjWAP4oM1NKSKh83maTYmPLrgMAAJ9VvoivO6xYxLenrYMeWjSq0vk5WbcpcflYRtQAQC1RrAH8TWqqFBUlpadXvmaaUlpa2fXUVO9nAwAALmnoi/iGhp9jdQQAaNAo1gD+JDNTio+X7Pbq29ntZe0YYeOSIUOGyDCMs36ysrIq9QkMDHSpHQAAZxOfOKjGNWHKsYgvAPgXijUN0I4dO/Tmm2/q6aef1quvvqpVq1appKTEY8/bu3evUlJS9Mwzz+ill17SihUrdPJk7Ra9g4clJdVcqClnt0vJyZ7N4yfS0tL04osvqkmTiv/KfOWVV7R9+3Zdeumllfps3bpVU6ZMkSS1bt1aH3/8sfr06eOVvIC/K9hVZHUEwCtYxBcAGi+KNQ3Ixo0b9ec//1ndunXT008/rezsbC1evFjDhg1Tly5dtGDBgnp9Xm5urq6//np16tRJjz32mL7//nstX75co0aNUqdOnfSPf/xDprt7SsJzcnKkFSvc65OWJuXmeiSOP2nRooXuvfde3XLLLRXOx8XFqWvXrmratGmlPl27dlVUVJQkadq0abr66qsVEODa21EAZbZm7tUzCUsrnb/f9k8lxS7W1sy9FqQCvItFfAGgcaJY00C89957+uMf/6hPP/1UTz31lDZt2qRFixbpiy++0Nq1a1VcXKzbb79dkydPrpcCSkZGhvr06aP33ntP99xzj7Zu3aq3335bK1eu1MaNG9W6dWs99thjuvbaa2V3dSQHPGv16rI1adxhmmX94JKpU6dWKLgsXry42vZLlixRUFCQbrvtNk9HA/zOV6lbNCVqoX5I31npmmlKmWnbNCVqob5K3WJBOsC7WMQXABofijUNwOeff674+HidOHFCEydO1NSpU2WcsT1A//799fbbb0uS5s6dq6eeeqpOz9u8ebNGjBihw4cPa+jQoXrhhRcqjBy48MILtXz5cgUGBmr58uW699576/Q81JOiWk4LqG2/Rqh79+4aPXq08/ill15SaWlplW1PnDihpUuXKjY2Vueee663IgJ+YWvmXs2OX6oSu6PadiV2h2bHL2WEDRotFvEFAP9FscbHFRUV6aabbtLp06cVFBSkpKSkKtsNHz5cQ4YMkSRNnz5d69atq9XzHA6Hxo0bpyNHjkiSnnzyyQqFoXIXX3yxxo8fL0maN2+e3n///Vo9D/UoJMS7/RqpRx55xPl9+/btWrq08hQNSXr//fd19OhR3XzzzV5KBviPlKQ1NRZqypXYHUpJXuPhRAAAAN5FscbHPfPMM9qzZ48k6aqrrlJ4ePhZ25avp1FaWqrHHnusVs974403tGHDBklSZGSk+vXrV+PzJOmxxx476wgDeEl0dNnkdXcYRlk/uKxPnz4aNmyY8/h//ud/qmz31ltvKSwsTNdcc423ogF+4decQmWt2OZWn6y0bcrPLfRQIgAAAO+jWOPD7Ha7XnvtNefxyJEjq20fGxurwMBASdLKlSu1fv16t5/54osvuvy8AQMGKCwsTJK0ZcsWRtdYLSJCiolxr8+IEVLnzh6J488effRR5/evv/5aa9eurXD9wIED+uSTT5SQkOD8MwnANdmrc2u1/Fb2ahZLBwAA/oNijQ/7/PPPdfDgQefxFVdcUW37kJAQXXDBBc7jd955x63n/fzzz8rOznb5eYZhyGaz1fp58IDERCkoyLW2QUHSjBmezeOnoqOjK/z5+O3omnfeeef/t3ff8VHU+R/H37tpQICEDqETAek1IFKkqKigIicKUqSIiBQLiKc/e0NBORUQbICCeCAqIugpWGjSQY6mEKUFCMQgLSH9+/uDR+ay2U12AyE7JK/n48HjZr7zLZ/Zy44zn535jtLS0nTvvfcWdGjAFS/hdNJFtkvO50gAAAD8h2SNja1bt85aDgoKUoMG3l/J2KJFC2s5p7k0fBlPkpo1a5an8ZYtW6bU1NQ8jYl8FhUlffqp94RNcPCFelmSbcibrHPXfPXVV4qOjrbW582bp+bNm/v0HQLgKjSs2EW2C8nnSAAAAPyHZI2NrV+/3lquWrWqgn24Y6JWrVrW8r59+6yJgvM6XkBAQK7z43gaLyEhQb/99pvP4+Ey6d1bWrNGyjKvisXhkHr2vLC9d++Cj60Quf3229WwYUNJF+aJmjJliqQLkw6vX7+eu2qAi9Skc82Lmn6rSWce6QQAAIUHyRoby5zoV5KqVKniU5vs9Xbu3HlR41WsWFEBAQF5Hi/rY1Two6goad489/LNm6Wvv+aOmnzgcDg0YcIEa33OnDlduRJDAAAgAElEQVSKj4/XJ598osDAQPXv39+P0QFXrkq1wtX6lrp5atO6R11VrBl+mSICAAAoeCRrbOzkyZPWcvny5X1qU6FCBZf1P//80+fxss6PUxDjwQ98uFsKvrvnnntUo0YNSdL58+f1zjvv6JNPPtEtt9zi9t0A4Lt+z3ZSYLD3HwwkKTA4QP2e6XSZIwIAAChYvKbEphISEpSSkmKtFyvm2zP82evl5TGov//+u0DHi4mJ8bludseOHbvotkB+CQoK0rhx4/TQQw9Jkl599VUlJibq1Vdf9XNkwJWtXlSEJnx6hyb1+1JpKek51gsMDtCET+9QvaiIAozuf8IqhGqpedovYwMAgMKNZI1NnT592mU9JMS3iRMvJXmSdcyCGM+XOXEAu7vvvvv0wgsvKD4+XomJiSpXrpx69uzp77CAK961vRto0powzX3qJ2373vWuTYfjwqNP/Z7p5LdEDQAAwOXEY1A25XS6/l/j8HG2xezzzBhjLmrMghgPKAxKlCihBx54wFq/5557FBQU5MeIgMKjXlSExs/r5Vb+r8336dmv+5KoAQAAhRZ31thUaGioy3pycrJP7ZKSklzWS5UqlacxM8cpiPEOHz7sc93sjh07pjZt2lx0eyA/DR8+XC+//LIkafDgwf4NBigCKlQv7e8QAAAALiuSNTYVGhqqoKAgpaamSvI9eZK9XlhYmM9jlilTxprUuCDGq1atms91ATuLiIhQYGCgrr76arVs2dLf4QAAAAC4wvEYlE05nU7VrFnTWs/6ZqjcZK9Xt67vrz+tXbt2gY4HFBYrV65UWlqahgwZ4u9QAAAAABQCJGtsrF69etayr28/Onr0qMv61VdffVHjxcbG+jT/TPbxGjRo4PN4QGExf/58hYSEaNCgQf4OBQAAAEAhQLLGxq699lpr+ciRI8rIyPDaJus8MA0aNFB4ePhFjZeamqrY2Ng8jVeqVCk1atTI5/GAwiA2NlYLFizQXXfdpfLly/s7HAAAAACFAMkaG+vWrZu1fP78ee3du9drm23btlnL3bt3z9N4Xbt2dVnfvn17nsbr1q2bAgOZBglFy7hx43T+/Hk9/vjj/g4FAAAAQCFBssbG2rRpo1q1alnrmzdvzrX++fPntWPHDmv9H//4R57Gq1Klijp27OjzeJK0adOmix4PuJLMmzdP1113nfr27aslS5YoISFBzz33nObPn69BgwZxVxkAAACAfMNtEDbmdDo1bNgwPf3005KkJUuWaMCAATnW//bbb623MzVr1kwdOnTI85j333+/Vq9ebY331FNP5Vh369atOnjwoCSpYsWK6tOnT57HA64EZ8+e1ZAhQ5SWliZJWrBggbWtcuXKmjRpkr9CAwq9sAqhWmqe9ncYAAAABYo7a2xu1KhRqly5siRp2bJliouLy7Hu7NmzreXMBE9WO3fuVKtWrVS6dGndf//9Sk9Pd6tz9913q3HjxpIu3DWza9cun8abMGGCQkJCvO8QCk6FCpIxrv8qVPB3VFekYsWKqUSJEm7lZcqU0eLFi1WxYkU/RAUAAACgsCJZY3NlypTR9OnTJUmJiYl67rnnPNZbvXq1li5dKkm66667PD6SNHr0aG3dulVnz57V+++/r/nz57vVCQoK0qxZs6y5Z3KahyM6Olrvv/++JKldu3Z65JFH8rxvwJUiKChIX3zxhZo3b66QkBBVrlxZQ4cO1bZt29S2bVt/hwcAAACgkOExqCtA79699d5772nkyJF65513VKdOHT366KNyOBySLkzye+edd0qSbrnlFn344Yce+8l+J01qaqrHelFRUVq8eLHuuusuLVu2TI888ogmTZqkoKAgSdKff/6pnj17Kjk5WVFRUfryyy/ldJL3Q+HWrVs3lwm1AQDABTyuCAD5jyvsK8Tw4cP1/fffq0mTJho/frwaNmyoAQMG6Prrr1fr1q2VlJSkF154QUuWLFHJkiU99jF16lQ1bdpUJUuW1JAhQzRo0KAcx+vRo4fWrFmjDh066M0331TdunV1zz33qEePHmrYsKEOHjyosWPHauXKlapUqdLl2m0AAAAAAIochzHG+DsI5M22bdu0ceNG/fXXXypevLgaNGigzp07q3jx4pdlvN9//11r165VbGysgoODddVVV6lLly4KCwu7LOP5IiYmRtWrV5ckHT58WNWqVfNbLAAAAJfb6bgE9a84xaXskxOPKqxCqJ8iAoCipyCvQ3kM6grUokULtWjRosDGq1+/vurXr19g4wEAAAAAUJTxGBQAAAAAAICNkKwBAAAAAACwEZI1AAAAAAAANsKcNQAAAIDN8XpsAChauLMGAAAAAADARrizBrbTqFEjr3VSU1MLIBIAAAAAAAoed9YAAAAAAADYCHfWwHZ27drltU5MTIyqV69eANEAAAAAAFCwuLMGAAAAAADARkjWAAAAAAAA2AjJGgAAAAAAABshWQMAAAAAAGAjJGsAAAAAAABshGQNAAAAAACAjZCsAQAAAAAAsBGSNQAAAAAAADZCsgYAAAAAAMBGSNYAAAAAAADYCMkaAAAAAAAAGyFZAwAAAAAAYCMkawAAAAAAAGyEZA0AAAAAAICNkKwBAAAAAACwEZI1AAAAAAAANkKyBgAAAAAAwEZI1gAAAAAAANhIoL8DALJr1KiR1zqpqakFEAkAAAAAAAWPO2sAAAAAAABshDtrYDu7du3yWicmJkbVq1cvgGgAAAAAAChYJGtwRUpLS7OWjx075sdIAAAAAABFQdZrz6zXpJcDyRpckeLi4qzlNm3a+DESAAAAAEBRExcXp1q1al22/pmzBgAAAAAAwEYcxhjj7yCAvEpKStKOHTskSRUqVFBgoG83iXXt2lWS9OOPP1622OyOz+CCov45HDt2zLorbePGjapSpYqfI/KPov53IPEZSHwGEseETPwt8BlIfAYcD/6nqP8tSHwGkutnkJaWZj3l0aRJExUrVuyyjctjULgiFStWTFFRUXluFxQUJEmqVq1afod0xeAzuIDP4X+qVKlSZD8H/g74DCQ+g+w4JhTtvwU+Az6DrIry8UDib0HiM5DcP4PL+ehTVjwGBQAAAAAAYCMkawAAAAAAAGyEZA0AAAAAAICNkKwBAAAAAACwEZI1AAAAAAAANkKyBgAAAAAAwEZI1gAAAAAAANgIyRoAAAAAAAAbcRhjjL+DAAAUrJiYGFWvXl2SdPjwYVWrVs3PEQHwJ44JADJxPADsgTtrAAAAAAAAbIRkDQAAAAAAgI2QrAEAAAAAALARkjUAAAAAAAA2QrIGAAAAAADARngbFAAAAAAAgI1wZw0AAAAAAICNkKwBAAAAAACwEZI1AAAAAAAANkKyBgAAAAAAwEZI1gAAAAAAANgIyRoAAAAAAAAbIVkDAAAAAABgIyRrAAAAAAAAbCTQ3wEAAAAURRkZGdq+fbu2bNmiHTt26ODBgxo+fLh69OiRY5ukpCStWbNGe/bsUWJiomrUqKF27dqpVq1a+RZXamqqtmzZoq1bt2rXrl06cuSI/u///k9RUVG5tjt79qxWrlyp6OhopaWlqVatWurYsaMqVaqU5xgyMjK0bds2bd68WSdPnlTlypXVtGlTtWrV6mJ3C7C9wnRMSE9P18aNG/Xf//5X8fHxKlmypK666ip16tRJJUuWvKg4du3apfXr1ysuLk7lypVTgwYN1L59ezkcjovdNcDWHMYY4+8gAKCosOuJWFYHDx7UxIkTNXPmTK91Dxw4oPXr1+vo0aNKTk5WhQoV1K5dOzVq1CjP43JxhqLixx9/1Jw5c7Rs2TIlJSXprrvuUv/+/dWuXTuFhoZ6bJOenq5JkyZp8uTJSkpKUpcuXRQaGqq1a9cqNjZWt912m6ZPn66IiIiLiikjI0NLlizR3Llz9f333yswMFADBgzQ3XffraioKIWEhOTYNjExUc8++6zeeecdBQcHq0uXLjLGaNWqVTp37pzuuecevfnmmwoLC/Mpli+++EJPPPGE9u7dqw4dOqhmzZr69ddftWvXLrVq1UpvvfWW2rdvf1H7CdhRYTsmzJw5Uy+88IKOHTvmtq1EiRIaPXq0nn/+eRUrVsynWFauXKlx48Zpy5YtatWqlRo0aKDff/9dmzZtUv369fXaa6/p9ttvv6j9BGzNAAAuux9++MEMHDjQlC1b1pQoUcIMHjzYLF++3Jw7dy7HNmlpaeaVV14xZcqUMcWLFze33HKL6dOnj4mIiDBOp9P06tXLHDlyJE9xjB8/3kjy+u+tt97KtZ+ff/7ZtG/f3jidTtO+fXszePBg069fP1O7dm0jybRt29Zs3brV57g+//xzU69ePSPJdOjQwfTv3980atTISDKtWrUya9asydN+Ana0efNm07ZtWyPJBAYGmrFjx5q///7ba7uzZ8+aLl26GEnm6quvNvv377e2JSYmmiFDhhhJpnLlymbLli15jmv58uXm6quvNpJM8eLFzfPPP28SExN9anvs2DHTpEkT67t74sQJa9vJkyfNzTffbCSZevXqucSdk8cee8xIMiVKlDArVqxw2TZjxgzjcDhMUFCQmTNnTp72EbCjwnZMSE9PN/379/fpPKN169bm1KlTXvt8++23TUBAgHE6nWbevHku2xYvXmxCQkKMw+EwL7/8cp73E7A7kjUAcBnZ6UTs1KlTpnTp0l5PoEqXLm3OnDmTYz8vv/yycTgcpkGDBmbXrl0u2zIyMsz06dON0+k0wcHB5j//+Y/XuLg4Q1Hw2muvmYCAACPJ1KhRw+fvbXp6urnxxhuNJBMcHGz27t3rVictLc20b9/eSDLVqlUzx48f96nv1NRU8/DDD1vf/SZNmpg//vjD531KSEgwTZs2NZJMhQoVzF9//eVW59y5cyYyMtJIMs2bN8/1gu/FF1+0Yvnoo4881nn88cet4+nKlSt9jhWwm8J4THjyySeNJFOmTBkzfPhw89Zbb5mpU6eacePGmQYNGridb/To0SPX/ubOnWvVff755z3WmTFjhlVn/vz5PscKXAlI1gDAZWK3E7FXX33Va6ImKCgo11+nFixYYNWLjo7OsV5mAiY8PDzX2Lg4Q2GXnp5uhg0bZv2dN2/e3MTGxvrcfvLkyVbbkSNH5lhv1apVVr3bb7/da7+JiYnWXS+SzA033GDOnj3rc1zGGDNq1Cir/WuvvZZjvY8//tiq99BDD3mss379eut42ahRI5ORkeGx3qlTp0yZMmWMJBMREWESEhLyFDPgb4X1mLB7924TGBhounXrZuLj4922Z2RkmJkzZ5qgoCCX847sP9Jk2r9/vylZsqSRZMqXL5/jnchpaWmmbt261o8+MTExPscM2B3JGgDIZ3Y8EUtOTjYRERGme/fuPsfhSeYJUZcuXXKtFxMTY8X2yiuveKzDxRmKgqFDh1rfhZo1a5qjR4/63DY+Pt7lbrhNmzblWj/z+ynJ/PLLLznWS0lJsRLCkkzLli3znKj57bffrO+v0+nMNSmblJRkSpUqZSWgDxw44FYnM/ksyUyePDnXse+77z6vxxfArgrrMWHQoEGmTp06XttNmTLFJVkzbNgwj/WyPk41atSoXPt86aWXrLr3339/nuIG7IxkDQDkMzueiH3wwQdGkvnhhx98jiW7P//80xqrf//+XuuXL1/eSDK9evXyuJ2LMxR2EydOtP5uAwICvH6fs3v99det9hEREV7rZ52T6tZbb82x3ogRI6x6JUuWNIcOHcpTXMYYM3r0aKuPdu3aea1/5513WvXHjBnjsm3z5s0uF2+///57rn0tXbrUqlu2bFmTkpKS5/gBfyisx4SEhARTokQJs3TpUq91U1JSTJUqVazxWrdu7VYnNjbWBAYGWnW+++67XPvcuXOnVTcwMDBPP5ABduYUACDfvPrqq5o1a5YkKSAgQIsWLVKVKlV8bj979mydOXNGkhQREaHWrVvnWj/r2w8mTpzosY4xRm+88YZat26trl27+hxLdsePH7eWjx496rV+RkaGJOn8+fNu27Zs2aK1a9da67fddluuffXq1ctafv3115Wamup1fMCfNm/erKefftpaHz16tNfvc3aLFi2yltu0aeO1ftu2ba3l7777TqdPn3ars3jxYr377rvW+osvvqjq1avnKa7ssWUd15fYFi1aZB0fsvcVHh6uevXq5drXNddcYy2fPHlSK1as8ClmwJ8K8zFh3bp1atSoUa5vtswUFBSkLl26WOs5xZSWlmate9vXhg0bqlSpUpKktLQ0ffHFF76GDtgayRoAyCd2PRH7+uuvtWfPHjmdTk2dOlWbNm1Senp6nuKSpIoVK1rLv/zyi+Li4nKse+bMGZ08eVKSVLt2bbftXJyhsBs9erR1sREcHKwnn3wyT+2Tk5O1detWa71Zs2Ze27Ro0cJaTklJ0bJly1y2JyUl6eGHH7bWK1asqAcffDBPcUnSgQMHFBsbe9GxHTt2TOvXr7fW161bl6e+ypUrp2rVqlnrX375pdc2gL8V5mNCjRo1NH36dJ/rZ00GlS1b1m171mNCzZo1FR4enmt/DofD5fPgmIDCgmQNAOQTO56ISdKkSZMkSRs3btTYsWPVpk0blS1bVn369NGiRYtcfr3KTY0aNawTpuTkZD3++OM51l24cKG1fMcdd7ht5+IMhdm3336rDRs2WOt9+vRxSXb6Ytu2bUpJSbHWPSU9s6tZs6YcDoe1vmXLFpfts2fP1sGDB6314cOHKzg4OE9xSXJJtPgaW61atVzWM2NLT0/X5s2b89RX9v6y7ydgN4X9mFC3bl1FRUX5XN8YYy1nPY/JlPUYwzEBRRnJGgDIB3Y9EVu3bp3L40aZzpw5o0WLFqlPnz6KjIzUkiVLvI4VGBio+++/31qfPXu2XnrpJbd6Z8+etR7J6tu3r2688UaX7VycobCbOXOmy/rtt9+u06dPa+rUqerVq5datmypNm3aqHfv3po2bZpOnTrl1sf27dtd1n15nDIwMFDly5e31nfs2OE1rtjYWL322mu65ZZb1Lx5c7Vr1059+/bVrFmzPD7CeLGxZa+TGVt0dLQSEhLy1Ff2ert3776ouwWBglLYjwl5lfXOvOyPQSclJWnv3r3W+sUcE06ePOnT49qA7fl70hwAKAxuu+02lwkyFy5caE6dOmXefvttc/vtt5sWLVqYqKgoc8cdd5ipU6eav//+262PmTNnuvThbUK9TBUqVHB51WZWs2fPNm3btjVXXXWVKV68uEv/2f+9+OKLXsc6efKkqVmzpku7oUOHmsTERGPMhQmSO3ToYCSZESNGeJz487fffnNp/8QTT/i0n3369LHaFCtWzKSlpfnUDihI586dMyEhIS5/488//7zLxOHZ/5UtW9YsWLDApZ+XX37Zpc6WLVt8Gr9hw4ZWm8jISKt83759Lv2VKFHCPPPMM26xZv1XrVo18+OPP7qNMXz4cJd6nl7T60mJEiWsNt26dTPGGLN27VqXvt544w2f+nrwwQdd2h0+fNindkBBKwrHhLxq3LixFU96errLtiNHjriMmX1C8pxMmjTJpd3q1asvOU7A37izBgAuUUJCgr777juXsj179qhGjRoaO3asvvrqK23btk2bNm3Sl19+qTFjxigyMtLlUSFJio+Pd1nP+mtYbipUqGAt//nnny7bBg8erPXr12vfvn06ffq01q9fr+eff14RERFu/Tz99NN66623ch2rTJky+uabb1SuXDmrbNasWWratKmmTp2qFi1a6ODBg/rqq680c+ZMBQUFufWRH/uZlJSkY8eO+dQOKEgbNmxQcnKyS9ncuXM1bdo0HT16VCkpKYqJidGHH35ozdtw8uRJ9e3bV/PmzbPa/P333y59FCtWzKfxs9bLnKxcklatWuVSLzExUUuXLtX8+fMVFxen5ORk/fnnn/rXv/5lzSERExOjm2++WT/99JNL2/yMLT/6ytofYDdF4ZiQF4cOHdLOnTslSc8++6ycTtfLUY4JwP+QrAGAS2TXE7HsgoKC1LZtWz3zzDM6cOCAZs6cab09IdP48eO1cePGXMdr2LChfv75Z1WuXNkqi46O1tixY5WamqqNGzfm+nYnTsRQmGV/zKBRo0basmWLBg4cqCpVqigoKEhVq1bV0KFDtW3bNtWvX1/ShTkcRo4cqcOHD0tyf0NKSEiIT+PndDzIHlfXrl21fv169e7dW+XLl1dwcLBq166thx9+WJs2bbIe40xOTtaAAQN07tw5q21+xpYffWXtD7CbonBMyIv33ntPktSxY0cNGDDAbTvHBOB/SNYAwCWy64lYboKCgjRixAjt2LFDLVu2tMrT0tI0YcIEr+0bN26sdevWqUGDBi7lx44d07XXXptrwocTMRRmhw4dcll//vnnVbp0aY91y5UrZ124SNK5c+f05ptvSpLbr81Z56bKTUBAgLVsskzimT2uSZMmebzzTZLq1Kmj119/3Vo/evSoZs+eba3nZ2z50VfW/gC7KQrHBF/99ddfmjZtmsLCwvTRRx953AeOCcD/kKwBgEtk1xMxX9SsWVPLly9Xw4YNrbKVK1e67ZMn0dHROnnypMsjUZK0f/9+derUSXPnzvXYjhMxFGZnz551We/UqVOu9Tt16qTGjRtb65mvtQ8NDXWpl/3uvZwkJSVZy1nvnMsaV2hoqEuS1pN+/fqpTJkybnHld2z50VfW/gC7KQrHBF+NGzdOZ86c0dy5c3N8uQDHBOB/SNYAwCWy64mYr8qWLav333/fJWmS9c1WnkyePFndu3dX/fr1tX//fn3wwQcuYycnJ+vee+91SUxl4kQMhVn25GPmXA+56d69u7V86NAhxcbGulwUSb5/T7LWCwsL8xhXmTJlvCZJAwMD1bVrV2t906ZNVoI0P2PLj76y9gfYTVE4Jvjis88+08cff6x//etfuvXWW3OsxzEB+B+SNQBwiex6IpYX1157rTp06GCtZz6a5cn48eM1YcIEXXXVVfrmm29UqlQpDRs2TNu3b9c111xj1TPG6MEHH3SbiJATMRRm2e+qS0lJ8dom651t0oXX2mb/1fnkyZM+jZ+1Xt26dT3G5UtM2eM6f/689QjjxcSWlpbmMsdFZmz5sZ/FixdX1apVfWoHFLSicEzwZufOnRo6dKieeOIJPfTQQ7nWjYiIcHk8+mL2U3LdV+BKRbIGAC6RXU/E8qpHjx7Wcva7WDLNmDFDb7zxhiTpww8/dLlLpnbt2lq1apUGDx5slaWnp2vUqFEuv75xcYbCLHMS8UwJCQle22R905l04a0s9erVcynz5e1nxhgdP37cWs86p1TWuHyJKae4JF1UbMeOHVNGRoZbbBERES7HEV/f8nb06FFruX79+m6PVwJ2URSOCbnJfIPUgAED9Morr3it73Q6FRkZaa1fzDEhPDzc5SUIwJWK/7IBwCWy64lYXtWpU8da9vQ67cTERD3xxBOSLlwcZb0TJ1NQUJBmzZqlO++80yrbs2ePVq5caa1zcYbCrEmTJi7rvsz/VKJECZf1sLAwNWvWzKXcl36OHTum1NRUa71du3Ye40pISPApSeopLunCnXhZ+RJb9rv1MmNzOBwucfrSV/b+srYH7KYoHBNyEh8frxtvvFEdO3bU9OnTvfafKesxhmMCijLOdAHgEtn1RCyvwsPDreVKlSq5bV+xYoV1y3Nu4zgcDs2YMcNlX1avXu2ynYszFFZt2rRxeXPZvn37vLbJeiebw+FQtWrVFBwcrI4dO1rl27dv99rPtm3brGWn06nrr7/eWr/uuutc6uY1rrJly1pJ1qpVq1pvtbuY2MqVK6fWrVtb6926dctTX+fOndMff/xhrWd9rBSwm6JwTPDk7Nmzuummm1S7dm199NFHefqBJesxITo62qc7eH799VdrmWMCCguSNQBwiex6IpZXcXFxVjytWrVy2/7bb79Zy95uLy5fvrzuuusua/3IkSMu27k4Q2EVGhqqG264wVrPmqjMSWxsrLXcsGFD69fqrN+hzZs3e+1n48aN1nKXLl1c5s+qU6eOS2I5r3FlT5BeSmy9evVyuXDr06ePNffX8ePHFRMTk2tfmzZtsh6pKl269CUd94DLragcE7JKSkrSrbfequLFi2vRokU5vhI8qwULFljLPXr0sBJBGRkZ2rp1a65t9+/fb53DOJ1O9erVy+t4wJWAZA0AXCK7nojl1bp16yRJUVFRqlatWq5109LSvPaXdV6erJMFSlycoXB78MEHreVly5a5zNXiyX//+19ruV+/ftZy3759rTmx/vjjD+3evTvXfr788ktrefTo0bnG9fXXX+faV25xSdJ9991nJVxWrVqlU6dO5dhPWlqali1bZq2PGjXKZXtkZKTLW2aWLFmSa1xZ93PIkCG5/roP2EFROCZkSk1N1Z133qkzZ85o6dKlKl68uNd+Z8yY4fLDTalSpdS3b19rPS/HhFtvvVU1a9b0OiZwRTAAgEv27bffGklGkqlVq5ZJT0/Ptf7YsWOt+i+99JJVnpCQYEqXLm1t27VrV679NGnSxKr75ZdfXnT8iYmJpnz58kaSmTVrlsc6CxcutMbq1auX1z5nzJhh1X/77bfdtnfr1s3aPn369Fz7GjNmjFX3oYce8m2nAD+Kiory6buZkZFh6tSpYySZsmXLmri4OJftEydOtPp57LHHcuxn8+bNVr1mzZqZtLQ0tzrnz5831atXt+pt27Ytx/7OnTtnSpYsaSSZyMhIk5yc7FZnxIgRPn2HFy1aZNXr2bOnxzpr1641TqfTSDJRUVE59pWQkGAqVapkJJnQ0FBz4MCBHOsCdlIUjgnp6emmb9++pn79+ubEiRM59pUpLi7OvP766yY4ONhER0e7bPvjjz9MiRIljCRTrVo1k5SU5LGPjIwM07RpUyPJBAQEmA0bNngdF7hSkKwBgHxitxOx+Ph4M2fOHLNw4UJz6tSpXNkpe44AABFVSURBVGP/5z//aSSZrl275phoOn36tAkNDTWSTFhYmDl37lyufY4aNco6edq/f7/bdi7OUJjt2bPHFC9e3EgytWvXNmfOnPFYb/78+UaScTgc5t///rf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      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 388,
       "width": 565
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_lightcurve(joint_lc, flux_col_names=('delta_mag', 'mag_err'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hmmm.... so not really a constant offset in magnitude.\n",
    "Nevertheless, I can only suspect there's some calibration or flux interpretation error somewhere."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If one wants to look at the postage stamps of this SN, get started with the examples in\n",
    "[dia_source_object_stamp.ipynb](dia_source_object_stamp.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "desc-stack",
   "language": "python",
   "name": "desc-stack"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}