notebooks/Working_with_avro_files.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Working with Avro files\n",
    "\n",
    "Here are some examples of working with ZTF alerts stored as avro files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/ebellm/anaconda3/envs/zads/lib/python3.5/site-packages/matplotlib/cbook/deprecation.py:106: MatplotlibDeprecationWarning: The mpl_toolkits.axes_grid module was deprecated in version 2.1. Use mpl_toolkits.axes_grid1 and mpl_toolkits.axisartist provies the same functionality instead.\n",
      "  warnings.warn(message, mplDeprecation, stacklevel=1)\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import io\n",
    "import gzip\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from avro.datafile import DataFileReader, DataFileWriter\n",
    "from avro.io import DatumReader, DatumWriter\n",
    "import fastavro\n",
    "\n",
    "from astropy.time import Time\n",
    "from astropy.io import fits\n",
    "import aplpy\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A handful of sample alerts are available in the [ztf-avro-alert](https://github.com/ZwickyTransientFacility/ztf-avro-alert) repository, which also [documents](https://zwickytransientfacility.github.io/ztf-avro-alert/schema.html) the packet contents."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "DATA_DIR = '../../ztf-avro-alert/data/'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's count packets. Let's use a generator--we could eventually have millions of these alerts to look at!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def find_files(root_dir):\n",
    "    for dir_name, subdir_list, file_list in os.walk(root_dir, followlinks=True):\n",
    "        for fname in file_list:\n",
    "            if fname.endswith('.avro'):\n",
    "                yield dir_name+'/'+fname"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../../ztf-avro-alert/data/ has 4 avro files\n"
     ]
    }
   ],
   "source": [
    "print('{} has {} avro files'.format(DATA_DIR, len(list(find_files(DATA_DIR)))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's grab the first file and look at it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "files_gen = find_files(DATA_DIR)\n",
    "fname = next(files_gen)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'../../ztf-avro-alert/data//472263571115095000.avro'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fname"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's use the python `avro` library to see what's in the file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['publisher', 'cutoutDifference', 'objectId', 'prv_candidates', 'cutoutTemplate', 'cutoutScience', 'candidate', 'candid', 'schemavsn'])\n",
      "CPU times: user 94 ms, sys: 2.38 ms, total: 96.4 ms\n",
      "Wall time: 96.6 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "with open(fname,'rb') as f:\n",
    "    freader = DataFileReader(f,DatumReader())\n",
    "    for packet in freader:\n",
    "        print(packet.keys())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's compare the call syntax of the faster `fastavro` package:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['publisher', 'cutoutDifference', 'objectId', 'prv_candidates', 'cutoutTemplate', 'cutoutScience', 'candidate', 'candid', 'schemavsn'])\n",
      "CPU times: user 7.38 ms, sys: 1.98 ms, total: 9.36 ms\n",
      "Wall time: 8.89 ms\n"
     ]
    }
   ],
   "source": [
    "%%time \n",
    "with open(fname,'rb') as f:\n",
    "    freader = fastavro.reader(f)\n",
    "    schema = freader.schema\n",
    "\n",
    "    for packet in freader:\n",
    "        print(packet.keys())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Basically the same, and the latter is faster.  Here's the schema that was stored in the packet:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'doc': 'avro alert schema for ZTF (www.ztf.caltech.edu)',\n",
       " 'fields': [{'doc': 'schema version used',\n",
       "   'name': 'schemavsn',\n",
       "   'type': 'string'},\n",
       "  {'doc': 'origin of alert packet', 'name': 'publisher', 'type': 'string'},\n",
       "  {'doc': 'object identifier or name', 'name': 'objectId', 'type': 'string'},\n",
       "  {'name': 'candid', 'type': 'long'},\n",
       "  {'name': 'candidate',\n",
       "   'type': {'doc': 'avro alert schema',\n",
       "    'fields': [{'doc': 'Observation Julian date at start of exposure [days]',\n",
       "      'name': 'jd',\n",
       "      'type': 'double'},\n",
       "     {'doc': 'Filter ID (1=g; 2=R; 3=i)', 'name': 'fid', 'type': 'int'},\n",
       "     {'doc': 'Processing ID for science image to facilitate archive retrieval',\n",
       "      'name': 'pid',\n",
       "      'type': 'long'},\n",
       "     {'default': None,\n",
       "      'doc': 'Expected 5-sigma mag limit in difference image based on global noise estimate [mag]',\n",
       "      'name': 'diffmaglim',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'filename of positive (sci minus ref) difference image',\n",
       "      'name': 'pdiffimfilename',\n",
       "      'type': ['string', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Principal investigator attached to program ID',\n",
       "      'name': 'programpi',\n",
       "      'type': ['string', 'null']},\n",
       "     {'doc': 'Program ID: encodes either public, collab, or caltech mode',\n",
       "      'name': 'programid',\n",
       "      'type': 'int'},\n",
       "     {'doc': 'Candidate ID from operations DB',\n",
       "      'name': 'candid',\n",
       "      'type': 'long'},\n",
       "     {'doc': 't or 1 => candidate is from positive (sci minus ref) subtraction; f or 0 => candidate is from negative (ref minus sci) subtraction',\n",
       "      'name': 'isdiffpos',\n",
       "      'type': 'string'},\n",
       "     {'default': None,\n",
       "      'doc': 'Internal pipeline table extraction ID',\n",
       "      'name': 'tblid',\n",
       "      'type': ['long', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Night ID',\n",
       "      'name': 'nid',\n",
       "      'type': ['int', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Readout channel ID [00 .. 63]',\n",
       "      'name': 'rcid',\n",
       "      'type': ['int', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'ZTF field ID',\n",
       "      'name': 'field',\n",
       "      'type': ['int', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'x-image position of candidate [pixels]',\n",
       "      'name': 'xpos',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'y-image position of candidate [pixels]',\n",
       "      'name': 'ypos',\n",
       "      'type': ['float', 'null']},\n",
       "     {'doc': 'Right Ascension of candidate; J2000 [deg]',\n",
       "      'name': 'ra',\n",
       "      'type': 'double'},\n",
       "     {'doc': 'Declination of candidate; J2000 [deg]',\n",
       "      'name': 'dec',\n",
       "      'type': 'double'},\n",
       "     {'doc': 'magnitude from PSF-curve-of-growth corrected photometry in a 7 pixel diameter aperture [mag]',\n",
       "      'name': 'magpsf',\n",
       "      'type': 'float'},\n",
       "     {'doc': '1-sigma uncertainty in magpsf [mag]',\n",
       "      'name': 'sigmapsf',\n",
       "      'type': 'float'},\n",
       "     {'default': None,\n",
       "      'doc': 'Reduced chi-square for PSF-fit',\n",
       "      'name': 'chipsf',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Aperture mag using 14 pixel diameter aperture [mag]',\n",
       "      'name': 'magap',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': '1-sigma uncertainty in magap [mag]',\n",
       "      'name': 'sigmagap',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'distance to nearest source in reference image PSF-catalog [pixels]',\n",
       "      'name': 'distnr',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'magnitude of nearest source in reference image PSF-catalog [mag]',\n",
       "      'name': 'magnr',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': '1-sigma uncertainty in magnr [mag]',\n",
       "      'name': 'sigmagnr',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'DAOPhot chi parameter of nearest source in reference image PSF-catalog',\n",
       "      'name': 'chinr',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'DAOPhot sharp parameter of nearest source in reference image PSF-catalog',\n",
       "      'name': 'sharpnr',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Local sky background estimate [DN]',\n",
       "      'name': 'sky',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Difference: magap - magpsf [mag]',\n",
       "      'name': 'magdiff',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Full Width Half Max assuming a Gaussian core, from SExtractor [pixels]',\n",
       "      'name': 'fwhm',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Star/Galaxy classification score from SExtractor',\n",
       "      'name': 'classtar',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Distance to nearest edge in image [pixels]',\n",
       "      'name': 'mindtoedge',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Difference: diffmaglim - magap [mag]',\n",
       "      'name': 'magfromlim',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Ratio: difffwhm / fwhm',\n",
       "      'name': 'seeratio',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Windowed profile RMS afloat major axis from SExtractor [pixels]',\n",
       "      'name': 'aimage',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Windowed profile RMS afloat minor axis from SExtractor [pixels]',\n",
       "      'name': 'bimage',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Ratio: aimage / fwhm',\n",
       "      'name': 'aimagerat',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Ratio: bimage / fwhm',\n",
       "      'name': 'bimagerat',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Ratio: aimage / bimage',\n",
       "      'name': 'elong',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'number of negative pixels in a 5 x 5 pixel stamp',\n",
       "      'name': 'nneg',\n",
       "      'type': ['int', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'number of prior-tagged bad pixels in a 5 x 5 pixel stamp',\n",
       "      'name': 'nbad',\n",
       "      'type': ['int', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'RealBogus quality score; range is 0 to 1 where closer to 1 is more reliable',\n",
       "      'name': 'rb',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'distance to nearest known solar system object if exists within 30 arcsec [arcsec]',\n",
       "      'name': 'ssdistnr',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'magnitude of nearest known solar system object if exists within 30 arcsec (usually V-band from MPC archive) [mag]',\n",
       "      'name': 'ssmagnr',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'name of nearest known solar system object if exists within 30 arcsec (from MPC archive)',\n",
       "      'name': 'ssnamenr',\n",
       "      'type': ['string', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Ratio: sum(pixels) / sum(|pixels|) in a 5 x 5 pixel stamp where stamp is first median-filtered to mitigate outliers',\n",
       "      'name': 'sumrat',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Aperture mag using 18 pixel diameter aperture [mag]',\n",
       "      'name': 'magapbig',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': '1-sigma uncertainty in magapbig [mag]',\n",
       "      'name': 'sigmagapbig',\n",
       "      'type': ['float', 'null']},\n",
       "     {'doc': 'Right Ascension of nearest source in reference image PSF-catalog; J2000 [deg]',\n",
       "      'name': 'ranr',\n",
       "      'type': 'double'},\n",
       "     {'doc': 'Declination of nearest source in reference image PSF-catalog; J2000 [deg]',\n",
       "      'name': 'decnr',\n",
       "      'type': 'double'},\n",
       "     {'default': None,\n",
       "      'doc': 'g-band PSF-fit magnitude of closest source from PS1 catalog; if exists within 30 arcsec [mag]',\n",
       "      'name': 'sgmag1',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'r-band PSF-fit magnitude of closest source from PS1 catalog; if exists within 30 arcsec [mag]',\n",
       "      'name': 'srmag1',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'i-band PSF-fit magnitude of closest source from PS1 catalog; if exists within 30 arcsec [mag]',\n",
       "      'name': 'simag1',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'z-band PSF-fit magnitude of closest source from PS1 catalog; if exists within 30 arcsec [mag]',\n",
       "      'name': 'szmag1',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Star/Galaxy score of closest source from PS1 catalog; if exists within 30 arcsec: 0 <= sgscore <= 1 where closer to 1 implies higher likelihood of being a star',\n",
       "      'name': 'sgscore1',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Distance of closest source from PS1 catalog; if exists within 30 arcsec [arcsec]',\n",
       "      'name': 'distpsnr1',\n",
       "      'type': ['float', 'null']},\n",
       "     {'doc': 'Number of spatially-coincident detections falling within 1.5 arcsec going back to beginning of survey; only detections that fell on the same field and readout-channel ID where the input candidate was observed are counted',\n",
       "      'name': 'ndethist',\n",
       "      'type': 'int'},\n",
       "     {'doc': 'Number of times input candidate position fell on any field and readout-channel going back to beginning of survey',\n",
       "      'name': 'ncovhist',\n",
       "      'type': 'int'},\n",
       "     {'default': None,\n",
       "      'doc': 'Earliest Julian date of epoch corresponding to ndethist [days]',\n",
       "      'name': 'jdstarthist',\n",
       "      'type': ['double', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Latest Julian date of epoch corresponding to ndethist [days]',\n",
       "      'name': 'jdendhist',\n",
       "      'type': ['double', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Peak-pixel signal-to-noise ratio in point source matched-filtered detection image',\n",
       "      'name': 'scorr',\n",
       "      'type': ['double', 'null']},\n",
       "     {'default': 0,\n",
       "      'doc': '1 => candidate is from a Target-of-Opportunity (ToO) exposure; 0 => candidate is from a non-ToO exposure',\n",
       "      'name': 'tooflag',\n",
       "      'type': ['int', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Object ID of closest source from PS1 catalog; if exists within 30 arcsec',\n",
       "      'name': 'objectidps1',\n",
       "      'type': ['long', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Object ID of second closest source from PS1 catalog; if exists within 30 arcsec',\n",
       "      'name': 'objectidps2',\n",
       "      'type': ['long', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'g-band PSF-fit magnitude of second closest source from PS1 catalog; if exists within 30 arcsec [mag]',\n",
       "      'name': 'sgmag2',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'r-band PSF-fit magnitude of second closest source from PS1 catalog; if exists within 30 arcsec [mag]',\n",
       "      'name': 'srmag2',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'i-band PSF-fit magnitude of second closest source from PS1 catalog; if exists within 30 arcsec [mag]',\n",
       "      'name': 'simag2',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'z-band PSF-fit magnitude of second closest source from PS1 catalog; if exists within 30 arcsec [mag]',\n",
       "      'name': 'szmag2',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Star/Galaxy score of second closest source from PS1 catalog; if exists within 30 arcsec: 0 <= sgscore <= 1 where closer to 1 implies higher likelihood of being a star',\n",
       "      'name': 'sgscore2',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Distance to second closest source from PS1 catalog; if exists within 30 arcsec [arcsec]',\n",
       "      'name': 'distpsnr2',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Object ID of third closest source from PS1 catalog; if exists within 30 arcsec',\n",
       "      'name': 'objectidps3',\n",
       "      'type': ['long', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'g-band PSF-fit magnitude of third closest source from PS1 catalog; if exists within 30 arcsec [mag]',\n",
       "      'name': 'sgmag3',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'r-band PSF-fit magnitude of third closest source from PS1 catalog; if exists within 30 arcsec [mag]',\n",
       "      'name': 'srmag3',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'i-band PSF-fit magnitude of third closest source from PS1 catalog; if exists within 30 arcsec [mag]',\n",
       "      'name': 'simag3',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'z-band PSF-fit magnitude of third closest source from PS1 catalog; if exists within 30 arcsec [mag]',\n",
       "      'name': 'szmag3',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Star/Galaxy score of third closest source from PS1 catalog; if exists within 30 arcsec: 0 <= sgscore <= 1 where closer to 1 implies higher likelihood of being a star',\n",
       "      'name': 'sgscore3',\n",
       "      'type': ['float', 'null']},\n",
       "     {'default': None,\n",
       "      'doc': 'Distance to third closest source from PS1 catalog; if exists within 30 arcsec [arcsec]',\n",
       "      'name': 'distpsnr3',\n",
       "      'type': ['float', 'null']},\n",
       "     {'doc': 'Number of source matches from PS1 catalog falling within 30 arcsec',\n",
       "      'name': 'nmtchps',\n",
       "      'type': 'int'},\n",
       "     {'doc': 'Processing ID for reference image to facilitate archive retrieval',\n",
       "      'name': 'rfid',\n",
       "      'type': 'long'},\n",
       "     {'doc': 'Observation Julian date of earliest exposure used to generate reference image [days]',\n",
       "      'name': 'jdstartref',\n",
       "      'type': 'double'},\n",
       "     {'doc': 'Observation Julian date of latest exposure used to generate reference image [days]',\n",
       "      'name': 'jdendref',\n",
       "      'type': 'double'},\n",
       "     {'doc': 'Number of frames (epochal images) used to generate reference image',\n",
       "      'name': 'nframesref',\n",
       "      'type': 'int'},\n",
       "     {'doc': 'version of RealBogus model/classifier used to assign rb quality score',\n",
       "      'name': 'rbversion',\n",
       "      'type': 'string'}],\n",
       "    'name': 'candidate',\n",
       "    'namespace': 'ztf.alert',\n",
       "    'type': 'record',\n",
       "    'version': '2.0'}},\n",
       "  {'default': None,\n",
       "   'name': 'prv_candidates',\n",
       "   'type': [{'items': {'doc': 'avro alert schema',\n",
       "      'fields': [{'doc': 'Observation Julian date at start of exposure [days]',\n",
       "        'name': 'jd',\n",
       "        'type': 'double'},\n",
       "       {'doc': 'Filter ID (1=g; 2=R; 3=i)', 'name': 'fid', 'type': 'int'},\n",
       "       {'doc': 'Processing ID for image', 'name': 'pid', 'type': 'long'},\n",
       "       {'default': None,\n",
       "        'doc': 'Expected 5-sigma mag limit in difference image based on global noise estimate [mag]',\n",
       "        'name': 'diffmaglim',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'filename of positive (sci minus ref) difference image',\n",
       "        'name': 'pdiffimfilename',\n",
       "        'type': ['string', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Principal investigator attached to program ID',\n",
       "        'name': 'programpi',\n",
       "        'type': ['string', 'null']},\n",
       "       {'doc': 'Program ID: encodes either public, collab, or caltech mode',\n",
       "        'name': 'programid',\n",
       "        'type': 'int'},\n",
       "       {'doc': 'Candidate ID from operations DB',\n",
       "        'name': 'candid',\n",
       "        'type': ['long', 'null']},\n",
       "       {'doc': 't or 1 => candidate is from positive (sci minus ref) subtraction; f or 0 => candidate is from negative (ref minus sci) subtraction',\n",
       "        'name': 'isdiffpos',\n",
       "        'type': ['string', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Internal pipeline table extraction ID',\n",
       "        'name': 'tblid',\n",
       "        'type': ['long', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Night ID',\n",
       "        'name': 'nid',\n",
       "        'type': ['int', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Readout channel ID [00 .. 63]',\n",
       "        'name': 'rcid',\n",
       "        'type': ['int', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'ZTF field ID',\n",
       "        'name': 'field',\n",
       "        'type': ['int', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'x-image position of candidate [pixels]',\n",
       "        'name': 'xpos',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'y-image position of candidate [pixels]',\n",
       "        'name': 'ypos',\n",
       "        'type': ['float', 'null']},\n",
       "       {'doc': 'Right Ascension of candidate; J2000 [deg]',\n",
       "        'name': 'ra',\n",
       "        'type': ['double', 'null']},\n",
       "       {'doc': 'Declination of candidate; J2000 [deg]',\n",
       "        'name': 'dec',\n",
       "        'type': ['double', 'null']},\n",
       "       {'doc': 'magnitude from PSF-curve-of-growth corrected photometry in a 7 pixel diameter aperture [mag]',\n",
       "        'name': 'magpsf',\n",
       "        'type': ['float', 'null']},\n",
       "       {'doc': '1-sigma uncertainty in magpsf [mag]',\n",
       "        'name': 'sigmapsf',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Reduced chi-square for PSF-fit',\n",
       "        'name': 'chipsf',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Aperture mag using 14 pixel diameter aperture [mag]',\n",
       "        'name': 'magap',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': '1-sigma uncertainty in magap [mag]',\n",
       "        'name': 'sigmagap',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'distance to nearest source in reference image PSF-catalog [pixels]',\n",
       "        'name': 'distnr',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'magnitude of nearest source in reference image PSF-catalog [mag]',\n",
       "        'name': 'magnr',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': '1-sigma uncertainty in magnr [mag]',\n",
       "        'name': 'sigmagnr',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'DAOPhot chi parameter of nearest source in reference image PSF-catalog',\n",
       "        'name': 'chinr',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'DAOPhot sharp parameter of nearest source in reference image PSF-catalog',\n",
       "        'name': 'sharpnr',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Local sky background estimate [DN]',\n",
       "        'name': 'sky',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Difference: magap - magpsf [mag]',\n",
       "        'name': 'magdiff',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Full Width Half Max assuming a Gaussian core, from SExtractor [pixels]',\n",
       "        'name': 'fwhm',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Star/Galaxy classification score from SExtractor',\n",
       "        'name': 'classtar',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Distance to nearest edge in image [pixels]',\n",
       "        'name': 'mindtoedge',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Difference: diffmaglim - magap [mag]',\n",
       "        'name': 'magfromlim',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Ratio: difffwhm / fwhm',\n",
       "        'name': 'seeratio',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Windowed profile RMS afloat major axis from SExtractor [pixels]',\n",
       "        'name': 'aimage',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Windowed profile RMS afloat minor axis from SExtractor [pixels]',\n",
       "        'name': 'bimage',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Ratio: aimage / fwhm',\n",
       "        'name': 'aimagerat',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Ratio: bimage / fwhm',\n",
       "        'name': 'bimagerat',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Ratio: aimage / bimage',\n",
       "        'name': 'elong',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'number of negative pixels in a 5 x 5 pixel stamp',\n",
       "        'name': 'nneg',\n",
       "        'type': ['int', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'number of prior-tagged bad pixels in a 5 x 5 pixel stamp',\n",
       "        'name': 'nbad',\n",
       "        'type': ['int', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'RealBogus quality score; range is 0 to 1 where closer to 1 is more reliable',\n",
       "        'name': 'rb',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'distance to nearest known solar system object if exists within 30 arcsec [arcsec]',\n",
       "        'name': 'ssdistnr',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'magnitude of nearest known solar system object if exists within 30 arcsec (usually V-band from MPC archive) [mag]',\n",
       "        'name': 'ssmagnr',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'name of nearest known solar system object if exists within 30 arcsec (from MPC archive)',\n",
       "        'name': 'ssnamenr',\n",
       "        'type': ['string', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Ratio: sum(pixels) / sum(|pixels|) in a 5 x 5 pixel stamp where stamp is first median-filtered to mitigate outliers',\n",
       "        'name': 'sumrat',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Aperture mag using 18 pixel diameter aperture [mag]',\n",
       "        'name': 'magapbig',\n",
       "        'type': ['float', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': '1-sigma uncertainty in magapbig [mag]',\n",
       "        'name': 'sigmagapbig',\n",
       "        'type': ['float', 'null']},\n",
       "       {'doc': 'Right Ascension of nearest source in reference image PSF-catalog; J2000 [deg]',\n",
       "        'name': 'ranr',\n",
       "        'type': ['double', 'null']},\n",
       "       {'doc': 'Declination of nearest source in reference image PSF-catalog; J2000 [deg]',\n",
       "        'name': 'decnr',\n",
       "        'type': ['double', 'null']},\n",
       "       {'default': None,\n",
       "        'doc': 'Peak-pixel signal-to-noise ratio in point source matched-filtered detection image',\n",
       "        'name': 'scorr',\n",
       "        'type': ['double', 'null']},\n",
       "       {'doc': 'version of RealBogus model/classifier used to assign rb quality score',\n",
       "        'name': 'rbversion',\n",
       "        'type': 'string'}],\n",
       "      'name': 'prv_candidate',\n",
       "      'namespace': 'ztf.alert',\n",
       "      'type': 'record',\n",
       "      'version': '2.0'},\n",
       "     'type': 'array'},\n",
       "    'null']},\n",
       "  {'default': None,\n",
       "   'name': 'cutoutScience',\n",
       "   'type': [{'doc': 'avro alert schema',\n",
       "     'fields': [{'name': 'fileName', 'type': 'string'},\n",
       "      {'doc': 'fits.gz', 'name': 'stampData', 'type': 'bytes'}],\n",
       "     'name': 'cutout',\n",
       "     'namespace': 'ztf.alert',\n",
       "     'type': 'record',\n",
       "     'version': '2.0'},\n",
       "    'null']},\n",
       "  {'default': None,\n",
       "   'name': 'cutoutTemplate',\n",
       "   'type': ['ztf.alert.cutout', 'null']},\n",
       "  {'default': None,\n",
       "   'name': 'cutoutDifference',\n",
       "   'type': ['ztf.alert.cutout', 'null']}],\n",
       " 'name': 'alert',\n",
       " 'namespace': 'ztf',\n",
       " 'type': 'record',\n",
       " 'version': '2.0'}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "schema"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once we have the packet in python data structures our downstream processing should be independent of how we got the packet (from files or from a Kafka stream)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Playing with packet contents"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once these are in memory they are just a python dictionary, so the top-level attributes are easy to access."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(packet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'candid': 472263571115095000,\n",
       " 'candidate': {'aimage': 0.7760000228881836,\n",
       "  'aimagerat': 0.26758620142936707,\n",
       "  'bimage': 0.6740000247955322,\n",
       "  'bimagerat': 0.23241379857063293,\n",
       "  'candid': 472263571115095000,\n",
       "  'chinr': 0.6039999723434448,\n",
       "  'chipsf': 11.739422798156738,\n",
       "  'classtar': 1.0,\n",
       "  'dec': 52.0297121,\n",
       "  'decnr': 52.0297349,\n",
       "  'diffmaglim': 20.532358169555664,\n",
       "  'distnr': 0.1061318889260292,\n",
       "  'distpsnr1': 0.08537573367357254,\n",
       "  'distpsnr2': 20.8072452545166,\n",
       "  'distpsnr3': 24.500423431396484,\n",
       "  'elong': 1.15133535861969,\n",
       "  'fid': 2,\n",
       "  'field': 789,\n",
       "  'fwhm': 2.9000000953674316,\n",
       "  'isdiffpos': 't',\n",
       "  'jd': 2458226.7635764,\n",
       "  'jdendhist': 2458267.8215162,\n",
       "  'jdendref': 2458222.831111,\n",
       "  'jdstarthist': 2458102.0308565,\n",
       "  'jdstartref': 2458160.811632,\n",
       "  'magap': 18.362600326538086,\n",
       "  'magapbig': 18.377500534057617,\n",
       "  'magdiff': -0.00963996909558773,\n",
       "  'magfromlim': 2.1697583198547363,\n",
       "  'magnr': 16.426000595092773,\n",
       "  'magpsf': 18.37224006652832,\n",
       "  'mindtoedge': 229.3621063232422,\n",
       "  'nbad': 0,\n",
       "  'ncovhist': 193,\n",
       "  'ndethist': 128,\n",
       "  'nframesref': 18,\n",
       "  'nid': 472,\n",
       "  'nmtchps': 5,\n",
       "  'nneg': 4,\n",
       "  'objectidps1': 170431796402626366,\n",
       "  'objectidps2': 170431796325162391,\n",
       "  'objectidps3': 170431796306612282,\n",
       "  'pdiffimfilename': 'ztf_20180418263565_000789_zr_c03_o_q4_scimrefdiffimg.fits',\n",
       "  'pid': 472263571115,\n",
       "  'programid': 3,\n",
       "  'programpi': 'Kulkarni',\n",
       "  'ra': 179.6402023,\n",
       "  'ranr': 179.6402336,\n",
       "  'rb': 0.846666693687439,\n",
       "  'rbversion': 't8_f5_c3',\n",
       "  'rcid': 11,\n",
       "  'rfid': 789120211,\n",
       "  'scorr': 8.56683444976807,\n",
       "  'seeratio': 0.841073215007782,\n",
       "  'sgmag1': 16.57159996032715,\n",
       "  'sgmag2': 15.647600173950195,\n",
       "  'sgmag3': -999.0,\n",
       "  'sgscore1': 0.9882500171661377,\n",
       "  'sgscore2': 0.9816250205039978,\n",
       "  'sgscore3': 0.9036669731140137,\n",
       "  'sharpnr': -0.006000000052154064,\n",
       "  'sigmagap': 0.06430000066757202,\n",
       "  'sigmagapbig': 0.07890000194311142,\n",
       "  'sigmagnr': 0.014999999664723873,\n",
       "  'sigmapsf': 0.04691247642040253,\n",
       "  'simag1': 16.502899169921875,\n",
       "  'simag2': 15.09749984741211,\n",
       "  'simag3': 19.65719985961914,\n",
       "  'sky': 0.16596269607543945,\n",
       "  'srmag1': 16.675500869750977,\n",
       "  'srmag2': 15.258299827575684,\n",
       "  'srmag3': -999.0,\n",
       "  'ssdistnr': -999.0,\n",
       "  'ssmagnr': -999.0,\n",
       "  'ssnamenr': 'null',\n",
       "  'sumrat': 0.9896904826164246,\n",
       "  'szmag1': 16.62820053100586,\n",
       "  'szmag2': 15.069999694824219,\n",
       "  'szmag3': 19.23579978942871,\n",
       "  'tblid': 0,\n",
       "  'tooflag': 0,\n",
       "  'xpos': 1399.03076171875,\n",
       "  'ypos': 229.3621063232422},\n",
       " 'cutoutDifference': {'fileName': 'candid472263571115095000_pid472263571115_targ_scimref.fits.gz',\n",
       "  'stampData': 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       " 'objectId': 'ZTF17aaajnnn',\n",
       " 'prv_candidates': [{'aimage': None,\n",
       "   'aimagerat': None,\n",
       "   'bimage': None,\n",
       "   'bimagerat': None,\n",
       "   'candid': None,\n",
       "   'chinr': None,\n",
       "   'chipsf': None,\n",
       "   'classtar': None,\n",
       "   'dec': None,\n",
       "   'decnr': None,\n",
       "   'diffmaglim': 18.8346004486084,\n",
       "   'distnr': None,\n",
       "   'elong': None,\n",
       "   'fid': 2,\n",
       "   'field': None,\n",
       "   'fwhm': None,\n",
       "   'isdiffpos': None,\n",
       "   'jd': 2458224.7012384,\n",
       "   'magap': None,\n",
       "   'magapbig': None,\n",
       "   'magdiff': None,\n",
       "   'magfromlim': None,\n",
       "   'magnr': None,\n",
       "   'magpsf': None,\n",
       "   'mindtoedge': None,\n",
       "   'nbad': None,\n",
       "   'nid': None,\n",
       "   'nneg': None,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0416/201227/ztf_20180416201227_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 470201231115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': None,\n",
       "   'ranr': None,\n",
       "   'rb': None,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': None,\n",
       "   'scorr': None,\n",
       "   'seeratio': None,\n",
       "   'sharpnr': None,\n",
       "   'sigmagap': None,\n",
       "   'sigmagapbig': None,\n",
       "   'sigmagnr': None,\n",
       "   'sigmapsf': None,\n",
       "   'sky': None,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': None,\n",
       "   'tblid': None,\n",
       "   'xpos': None,\n",
       "   'ypos': None},\n",
       "  {'aimage': None,\n",
       "   'aimagerat': None,\n",
       "   'bimage': None,\n",
       "   'bimagerat': None,\n",
       "   'candid': None,\n",
       "   'chinr': None,\n",
       "   'chipsf': None,\n",
       "   'classtar': None,\n",
       "   'dec': None,\n",
       "   'decnr': None,\n",
       "   'diffmaglim': 19.880199432373047,\n",
       "   'distnr': None,\n",
       "   'elong': None,\n",
       "   'fid': 2,\n",
       "   'field': None,\n",
       "   'fwhm': None,\n",
       "   'isdiffpos': None,\n",
       "   'jd': 2458224.7284375,\n",
       "   'magap': None,\n",
       "   'magapbig': None,\n",
       "   'magdiff': None,\n",
       "   'magfromlim': None,\n",
       "   'magnr': None,\n",
       "   'magpsf': None,\n",
       "   'mindtoedge': None,\n",
       "   'nbad': None,\n",
       "   'nid': None,\n",
       "   'nneg': None,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0416/228426/ztf_20180416228426_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 470228431115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': None,\n",
       "   'ranr': None,\n",
       "   'rb': None,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': None,\n",
       "   'scorr': None,\n",
       "   'seeratio': None,\n",
       "   'sharpnr': None,\n",
       "   'sigmagap': None,\n",
       "   'sigmagapbig': None,\n",
       "   'sigmagnr': None,\n",
       "   'sigmapsf': None,\n",
       "   'sky': None,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': None,\n",
       "   'tblid': None,\n",
       "   'xpos': None,\n",
       "   'ypos': None},\n",
       "  {'aimage': None,\n",
       "   'aimagerat': None,\n",
       "   'bimage': None,\n",
       "   'bimagerat': None,\n",
       "   'candid': None,\n",
       "   'chinr': None,\n",
       "   'chipsf': None,\n",
       "   'classtar': None,\n",
       "   'dec': None,\n",
       "   'decnr': None,\n",
       "   'diffmaglim': 20.004100799560547,\n",
       "   'distnr': None,\n",
       "   'elong': None,\n",
       "   'fid': 2,\n",
       "   'field': None,\n",
       "   'fwhm': None,\n",
       "   'isdiffpos': None,\n",
       "   'jd': 2458224.7440625,\n",
       "   'magap': None,\n",
       "   'magapbig': None,\n",
       "   'magdiff': None,\n",
       "   'magfromlim': None,\n",
       "   'magnr': None,\n",
       "   'magpsf': None,\n",
       "   'mindtoedge': None,\n",
       "   'nbad': None,\n",
       "   'nid': None,\n",
       "   'nneg': None,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0416/244062/ztf_20180416244062_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 470244061115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': None,\n",
       "   'ranr': None,\n",
       "   'rb': None,\n",
       "   'rbversion': 't7_f4_c3',\n",
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       "   'sigmagap': 0.02449999935925007,\n",
       "   'sigmagapbig': 0.03920000046491623,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.019745999947190285,\n",
       "   'sky': 0.9516050219535828,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.9982609748840332,\n",
       "   'tblid': 1,\n",
       "   'xpos': 1405.8499755859375,\n",
       "   'ypos': 427.20001220703125},\n",
       "  {'aimage': 0.6970000267028809,\n",
       "   'aimagerat': 0.18787099421024323,\n",
       "   'bimage': 0.5789999961853027,\n",
       "   'bimagerat': 0.15606500208377838,\n",
       "   'candid': 488294971115015000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 11.524700164794922,\n",
       "   'classtar': 0.9829999804496765,\n",
       "   'dec': 52.0297177,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.311199188232422,\n",
       "   'distnr': 0.06120099872350693,\n",
       "   'elong': 1.2037999629974365,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 3.7100000381469727,\n",
       "   'isdiffpos': 't',\n",
       "   'jd': 2458242.7949769,\n",
       "   'magap': 17.11280059814453,\n",
       "   'magapbig': 17.061899185180664,\n",
       "   'magdiff': 0.1565379947423935,\n",
       "   'magfromlim': 3.1984200477600098,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 16.956300735473633,\n",
       "   'mindtoedge': 427.0780029296875,\n",
       "   'nbad': 0,\n",
       "   'nid': 488,\n",
       "   'nneg': 5,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0504/294942/ztf_20180504294942_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 488294971115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402326,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.413332998752594,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 16.211,\n",
       "   'seeratio': 0.6318179965019226,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.018400000408291817,\n",
       "   'sigmagapbig': 0.02979999966919422,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.014755000360310078,\n",
       "   'sky': 0.08890300244092941,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.9668759703636169,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1408.0400390625,\n",
       "   'ypos': 427.0780029296875},\n",
       "  {'aimage': 0.7549999952316284,\n",
       "   'aimagerat': -999.0,\n",
       "   'bimage': 0.5009999871253967,\n",
       "   'bimagerat': -999.0,\n",
       "   'candid': 489166401115010000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 11.486200332641602,\n",
       "   'classtar': 0.9959999918937683,\n",
       "   'dec': 52.02974,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.19070053100586,\n",
       "   'distnr': 0.028322000056505203,\n",
       "   'elong': 1.5069899559020996,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 0.0,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458243.6664005,\n",
       "   'magap': 18.11400032043457,\n",
       "   'magapbig': 18.03019905090332,\n",
       "   'magdiff': 0.10068599879741669,\n",
       "   'magfromlim': 2.0767099857330322,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 18.0132999420166,\n",
       "   'mindtoedge': 178.42300415039062,\n",
       "   'nbad': 0,\n",
       "   'nid': 489,\n",
       "   'nneg': 5,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0505/166389/ztf_20180505166389_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 489166401115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402435,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.2833330035209656,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 6.93775,\n",
       "   'seeratio': -999.0,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.0364999994635582,\n",
       "   'sigmagapbig': 0.061900001019239426,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.02672800049185753,\n",
       "   'sky': 0.05871099978685379,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1386.97998046875,\n",
       "   'ypos': 178.42300415039062},\n",
       "  {'aimage': 0.753000020980835,\n",
       "   'aimagerat': 0.15304900705814362,\n",
       "   'bimage': 0.5730000138282776,\n",
       "   'bimagerat': 0.11646299809217453,\n",
       "   'candid': 489181741115010000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 18.668699264526367,\n",
       "   'classtar': 0.9779999852180481,\n",
       "   'dec': 52.029749,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.29680061340332,\n",
       "   'distnr': 0.05249299854040146,\n",
       "   'elong': 1.31413996219635,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 4.920000076293945,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458243.6817477,\n",
       "   'magap': 18.100400924682617,\n",
       "   'magapbig': 18.040300369262695,\n",
       "   'magdiff': 0.13607899844646454,\n",
       "   'magfromlim': 2.1963601112365723,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 17.96430015563965,\n",
       "   'mindtoedge': 182.781005859375,\n",
       "   'nbad': 0,\n",
       "   'nid': 489,\n",
       "   'nneg': 2,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0505/181701/ztf_20180505181701_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 489181741115,\n",
       "   'programid': 3,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402263,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.3700000047683716,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 27.1811,\n",
       "   'seeratio': 0.5627949833869934,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.03530000150203705,\n",
       "   'sigmagapbig': 0.06080000102519989,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.024748999625444412,\n",
       "   'sky': 0.5366790294647217,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.9989809989929199,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1386.56005859375,\n",
       "   'ypos': 182.781005859375},\n",
       "  {'aimage': 0.7459999918937683,\n",
       "   'aimagerat': 0.18195100128650665,\n",
       "   'bimage': 0.5809999704360962,\n",
       "   'bimagerat': 0.14170700311660767,\n",
       "   'candid': 489182661115010000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 11.191499710083008,\n",
       "   'classtar': 1.0,\n",
       "   'dec': 52.0297795,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.394500732421875,\n",
       "   'distnr': 0.16929200291633606,\n",
       "   'elong': 1.2839900255203247,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 4.099999904632568,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458243.682662,\n",
       "   'magap': 18.067800521850586,\n",
       "   'magapbig': 18.028499603271484,\n",
       "   'magdiff': 0.11066800355911255,\n",
       "   'magfromlim': 2.3267099857330322,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 17.95709991455078,\n",
       "   'mindtoedge': 182.23599243164062,\n",
       "   'nbad': 0,\n",
       "   'nid': 489,\n",
       "   'nneg': 5,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0505/182662/ztf_20180505182662_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 489182661115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402039,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.27333301305770874,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 24.307,\n",
       "   'seeratio': 0.6292780041694641,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.033900000154972076,\n",
       "   'sigmagapbig': 0.05920000001788139,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.024449000135064125,\n",
       "   'sky': 0.21169300377368927,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.9725030064582825,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1387.8199462890625,\n",
       "   'ypos': 182.23599243164062},\n",
       "  {'aimage': 1.024999976158142,\n",
       "   'aimagerat': 0.35714301466941833,\n",
       "   'bimage': 0.9179999828338623,\n",
       "   'bimagerat': 0.3198609948158264,\n",
       "   'candid': 489200701115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 5.459310054779053,\n",
       "   'classtar': 0.996999979019165,\n",
       "   'dec': 52.0296918,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.204299926757812,\n",
       "   'distnr': 0.18506300449371338,\n",
       "   'elong': 1.1165599822998047,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.869999885559082,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458243.700706,\n",
       "   'magap': 17.680400848388672,\n",
       "   'magapbig': 17.626100540161133,\n",
       "   'magdiff': 0.04503500089049339,\n",
       "   'magfromlim': 2.5238699913024902,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.635400772094727,\n",
       "   'mindtoedge': 181.46099853515625,\n",
       "   'nbad': 0,\n",
       "   'nid': 489,\n",
       "   'nneg': 0,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0505/200694/ztf_20180505200694_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 489200701115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.640266,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.7966669797897339,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 10.8817,\n",
       "   'seeratio': 1.2352399826049805,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.021700000390410423,\n",
       "   'sigmagapbig': 0.03610000014305115,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.017467999830842018,\n",
       "   'sky': 1.2709300518035889,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1392.02001953125,\n",
       "   'ypos': 181.46099853515625},\n",
       "  {'aimage': 0.9700000286102295,\n",
       "   'aimagerat': 0.19207899272441864,\n",
       "   'bimage': 0.8420000076293945,\n",
       "   'bimagerat': 0.1667329967021942,\n",
       "   'candid': 489212451115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 11.16819953918457,\n",
       "   'classtar': 0.9869999885559082,\n",
       "   'dec': 52.0297376,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.523099899291992,\n",
       "   'distnr': 0.026928000152111053,\n",
       "   'elong': 1.15201997756958,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 5.050000190734863,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458243.7124537,\n",
       "   'magap': 17.653499603271484,\n",
       "   'magapbig': 17.5935001373291,\n",
       "   'magdiff': -0.01199399959295988,\n",
       "   'magfromlim': 2.8696000576019287,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.66550064086914,\n",
       "   'mindtoedge': 184.45899963378906,\n",
       "   'nbad': 0,\n",
       "   'nid': 489,\n",
       "   'nneg': 1,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0505/212442/ztf_20180505212442_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 489212451115,\n",
       "   'programid': 3,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402375,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.6600000262260437,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 24.8439,\n",
       "   'seeratio': 0.617152988910675,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.019200000911951065,\n",
       "   'sigmagapbig': 0.030400000512599945,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.016093000769615173,\n",
       "   'sky': 0.13890700042247772,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1397.9100341796875,\n",
       "   'ypos': 184.45899963378906},\n",
       "  {'aimage': 1.0499999523162842,\n",
       "   'aimagerat': 0.32407400012016296,\n",
       "   'bimage': 0.9110000133514404,\n",
       "   'bimagerat': 0.2811729907989502,\n",
       "   'candid': 489215191115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 13.855500221252441,\n",
       "   'classtar': 0.9990000128746033,\n",
       "   'dec': 52.0297231,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.4237003326416,\n",
       "   'distnr': 0.07039400190114975,\n",
       "   'elong': 1.1525800228118896,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 3.240000009536743,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458243.7151968,\n",
       "   'magap': 17.659299850463867,\n",
       "   'magapbig': 17.611400604248047,\n",
       "   'magdiff': -0.04816500097513199,\n",
       "   'magfromlim': 2.764349937438965,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.707500457763672,\n",
       "   'mindtoedge': 179.44900512695312,\n",
       "   'nbad': 0,\n",
       "   'nid': 489,\n",
       "   'nneg': 1,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0505/215185/ztf_20180505215185_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 489215191115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402536,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.713333010673523,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 19.4517,\n",
       "   'seeratio': 1.0589699745178223,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.019200000911951065,\n",
       "   'sigmagapbig': 0.030799999833106995,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.01673400029540062,\n",
       "   'sky': 0.418844997882843,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1396.2900390625,\n",
       "   'ypos': 179.44900512695312},\n",
       "  {'aimage': 0.9039999842643738,\n",
       "   'aimagerat': 0.2590259909629822,\n",
       "   'bimage': 0.8109999895095825,\n",
       "   'bimagerat': 0.2323780059814453,\n",
       "   'candid': 489249821115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 11.83530044555664,\n",
       "   'classtar': 0.984000027179718,\n",
       "   'dec': 52.0297408,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.623300552368164,\n",
       "   'distnr': 0.010882999747991562,\n",
       "   'elong': 1.1146700382232666,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 3.490000009536743,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458243.7498264,\n",
       "   'magap': 17.7455997467041,\n",
       "   'magapbig': 17.68939971923828,\n",
       "   'magdiff': 0.001521000056527555,\n",
       "   'magfromlim': 2.877650022506714,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.74410057067871,\n",
       "   'mindtoedge': 175.57699584960938,\n",
       "   'nbad': 0,\n",
       "   'nid': 489,\n",
       "   'nneg': 0,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0505/249826/ztf_20180505249826_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 489249821115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.640251,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.7400000095367432,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 34.374,\n",
       "   'seeratio': 0.8520100116729736,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.0203000009059906,\n",
       "   'sigmagapbig': 0.03200000151991844,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.017323000356554985,\n",
       "   'sky': 0.21492800116539001,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1397.949951171875,\n",
       "   'ypos': 175.57699584960938},\n",
       "  {'aimage': 0.8410000205039978,\n",
       "   'aimagerat': 0.2739410102367401,\n",
       "   'bimage': 0.7070000171661377,\n",
       "   'bimagerat': 0.23029300570487976,\n",
       "   'candid': 490200081115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 7.697169780731201,\n",
       "   'classtar': 1.0,\n",
       "   'dec': 52.0297628,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.60919952392578,\n",
       "   'distnr': 0.0903559997677803,\n",
       "   'elong': 1.1895300149917603,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 3.069999933242798,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458244.700081,\n",
       "   'magap': 18.001100540161133,\n",
       "   'magapbig': 17.81920051574707,\n",
       "   'magdiff': 0.018511999398469925,\n",
       "   'magfromlim': 2.608099937438965,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.98259925842285,\n",
       "   'mindtoedge': 170.3520050048828,\n",
       "   'nbad': 0,\n",
       "   'nid': 490,\n",
       "   'nneg': 5,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0506/200081/ztf_20180506200081_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 490200081115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402718,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.5266669988632202,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 27.0687,\n",
       "   'seeratio': 0.8724830150604248,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.02759999968111515,\n",
       "   'sigmagapbig': 0.039900001138448715,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.02269599959254265,\n",
       "   'sky': -0.5059080123901367,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.9873980283737183,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1395.8299560546875,\n",
       "   'ypos': 170.3520050048828},\n",
       "  {'aimage': 0.7200000286102295,\n",
       "   'aimagerat': 0.22429899871349335,\n",
       "   'bimage': 0.6449999809265137,\n",
       "   'bimagerat': 0.2009350061416626,\n",
       "   'candid': 490214581115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 10.84529972076416,\n",
       "   'classtar': 0.984000027179718,\n",
       "   'dec': 52.0297493,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.757099151611328,\n",
       "   'distnr': 0.041694000363349915,\n",
       "   'elong': 1.11627995967865,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 3.2100000381469727,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458244.7145833,\n",
       "   'magap': 17.976499557495117,\n",
       "   'magapbig': 17.9950008392334,\n",
       "   'magdiff': 0.04166499897837639,\n",
       "   'magfromlim': 2.7806100845336914,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.934799194335938,\n",
       "   'mindtoedge': 173.88099670410156,\n",
       "   'nbad': 0,\n",
       "   'nid': 490,\n",
       "   'nneg': 3,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0506/214537/ztf_20180506214537_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 490214581115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402624,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.6566669940948486,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 20.2282,\n",
       "   'seeratio': 0.7914559841156006,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.025699999183416367,\n",
       "   'sigmagapbig': 0.04360000044107437,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.0218260008841753,\n",
       "   'sky': 0.2710379958152771,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.9991949796676636,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1401.739990234375,\n",
       "   'ypos': 173.88099670410156},\n",
       "  {'aimage': 0.7279999852180481,\n",
       "   'aimagerat': 0.2768059968948364,\n",
       "   'bimage': 0.6729999780654907,\n",
       "   'bimagerat': 0.2558940052986145,\n",
       "   'candid': 490215491115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 11.224300384521484,\n",
       "   'classtar': 0.9829999804496765,\n",
       "   'dec': 52.0297419,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.776399612426758,\n",
       "   'distnr': 0.012376000173389912,\n",
       "   'elong': 1.081719994544983,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.630000114440918,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458244.7154977,\n",
       "   'magap': 17.892099380493164,\n",
       "   'magapbig': 17.78689956665039,\n",
       "   'magdiff': 0.00521499989554286,\n",
       "   'magfromlim': 2.8843400478363037,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.886899948120117,\n",
       "   'mindtoedge': 173.7100067138672,\n",
       "   'nbad': 0,\n",
       "   'nid': 490,\n",
       "   'nneg': 2,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0506/215486/ztf_20180506215486_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 490215491115,\n",
       "   'programid': 3,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402413,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.7566670179367065,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 27.5353,\n",
       "   'seeratio': 0.9669420123100281,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.023499999195337296,\n",
       "   'sigmagapbig': 0.03550000116229057,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.020351000130176544,\n",
       "   'sky': -0.2280759960412979,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1401.8599853515625,\n",
       "   'ypos': 173.7100067138672},\n",
       "  {'aimage': 0.7480000257492065,\n",
       "   'aimagerat': 0.33392900228500366,\n",
       "   'bimage': 0.7099999785423279,\n",
       "   'bimagerat': 0.3169640004634857,\n",
       "   'candid': 490249251115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 4.122920036315918,\n",
       "   'classtar': 0.9829999804496765,\n",
       "   'dec': 52.0297423,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.549699783325195,\n",
       "   'distnr': 0.01536799967288971,\n",
       "   'elong': 1.0535199642181396,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.240000009536743,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458244.7492593,\n",
       "   'magap': 17.770299911499023,\n",
       "   'magapbig': 17.67569923400879,\n",
       "   'magdiff': 0.03687399998307228,\n",
       "   'magfromlim': 2.779360055923462,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.733400344848633,\n",
       "   'mindtoedge': 162.94900512695312,\n",
       "   'nbad': 0,\n",
       "   'nid': 490,\n",
       "   'nneg': 2,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0506/249259/ztf_20180506249259_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 490249251115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402399,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.8233330249786377,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 18.7204,\n",
       "   'seeratio': 1.1583399772644043,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.023499999195337296,\n",
       "   'sigmagapbig': 0.03759999945759773,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.01905900053679943,\n",
       "   'sky': -0.5667459964752197,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1400.9300537109375,\n",
       "   'ypos': 162.94900512695312},\n",
       "  {'aimage': 0.597000002861023,\n",
       "   'aimagerat': 0.25404301285743713,\n",
       "   'bimage': 0.37299999594688416,\n",
       "   'bimagerat': 0.15872299671173096,\n",
       "   'candid': 491180461115015001,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 8.860079765319824,\n",
       "   'classtar': 0.996999979019165,\n",
       "   'dec': 52.0297214,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 19.901500701904297,\n",
       "   'distnr': 0.23298199474811554,\n",
       "   'elong': 1.600540041923523,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.3499999046325684,\n",
       "   'isdiffpos': 't',\n",
       "   'jd': 2458245.680463,\n",
       "   'magap': 18.431400299072266,\n",
       "   'magapbig': 18.30590057373047,\n",
       "   'magdiff': 0.17717400193214417,\n",
       "   'magfromlim': 1.4701100587844849,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 18.254199981689453,\n",
       "   'mindtoedge': 189.14100646972656,\n",
       "   'nbad': 0,\n",
       "   'nid': 491,\n",
       "   'nneg': 6,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0507/180451/ztf_20180507180451_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 491180461115,\n",
       "   'programid': 1,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6401294,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.21666699647903442,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 7.35072,\n",
       "   'seeratio': 1.055400013923645,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.07159999758005142,\n",
       "   'sigmagapbig': 0.12200000137090683,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.05042700096964836,\n",
       "   'sky': -0.6281459927558899,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.7864850163459778,\n",
       "   'tblid': 1,\n",
       "   'xpos': 1391.9000244140625,\n",
       "   'ypos': 189.14100646972656},\n",
       "  {'aimage': 0.703000009059906,\n",
       "   'aimagerat': 0.536641001701355,\n",
       "   'bimage': 0.6520000100135803,\n",
       "   'bimagerat': 0.4977099895477295,\n",
       "   'candid': 491181371115015000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 4.199790000915527,\n",
       "   'classtar': 0.9980000257492065,\n",
       "   'dec': 52.0297,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 19.43720054626465,\n",
       "   'distnr': 0.14322200417518616,\n",
       "   'elong': 1.078220009803772,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 1.309999942779541,\n",
       "   'isdiffpos': 't',\n",
       "   'jd': 2458245.6813773,\n",
       "   'magap': 18.48870086669922,\n",
       "   'magapbig': 18.713600158691406,\n",
       "   'magdiff': 0.17962899804115295,\n",
       "   'magfromlim': 0.9485369920730591,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 18.309099197387695,\n",
       "   'mindtoedge': 189.8179931640625,\n",
       "   'nbad': 0,\n",
       "   'nid': 491,\n",
       "   'nneg': 7,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0507/181377/ztf_20180507181377_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 491181371115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402663,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.3666670024394989,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 11.5986,\n",
       "   'seeratio': 1.8500200510025024,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.10809999704360962,\n",
       "   'sigmagapbig': 0.271699994802475,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.06417199969291687,\n",
       "   'sky': 3.0993800163269043,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.8798009753227234,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1391.4300537109375,\n",
       "   'ypos': 189.8179931640625},\n",
       "  {'aimage': 0.8220000267028809,\n",
       "   'aimagerat': -999.0,\n",
       "   'bimage': 0.7260000109672546,\n",
       "   'bimagerat': -999.0,\n",
       "   'candid': 491182781115015000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 4.3480401039123535,\n",
       "   'classtar': 0.6930000185966492,\n",
       "   'dec': 52.0297514,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 18.890199661254883,\n",
       "   'distnr': 0.08003900200128555,\n",
       "   'elong': 1.1322300434112549,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 0.0,\n",
       "   'isdiffpos': 't',\n",
       "   'jd': 2458245.6827894,\n",
       "   'magap': 18.307600021362305,\n",
       "   'magapbig': 18.317399978637695,\n",
       "   'magdiff': -0.042782001197338104,\n",
       "   'magfromlim': 0.5825859904289246,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 18.350400924682617,\n",
       "   'mindtoedge': 187.3780059814453,\n",
       "   'nbad': 0,\n",
       "   'nid': 491,\n",
       "   'nneg': 7,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0507/182778/ztf_20180507182778_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 491182781115,\n",
       "   'programid': 3,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402585,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.28666698932647705,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 6.3618,\n",
       "   'seeratio': -999.0,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.14720000326633453,\n",
       "   'sigmagapbig': 0.3181000053882599,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.09214399755001068,\n",
       "   'sky': -0.24943099915981293,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.9472240209579468,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1392.719970703125,\n",
       "   'ypos': 187.3780059814453},\n",
       "  {'aimage': 0.9110000133514404,\n",
       "   'aimagerat': -5.061110019683838,\n",
       "   'bimage': 0.6660000085830688,\n",
       "   'bimagerat': -3.700000047683716,\n",
       "   'candid': 492221731115015000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 19.2987003326416,\n",
       "   'classtar': 0.9909999966621399,\n",
       "   'dec': 52.0297221,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.39240074157715,\n",
       "   'distnr': 0.15939900279045105,\n",
       "   'elong': 1.3678699731826782,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': -0.18000000715255737,\n",
       "   'isdiffpos': 't',\n",
       "   'jd': 2458246.7217361,\n",
       "   'magap': 18.057899475097656,\n",
       "   'magapbig': 17.972200393676758,\n",
       "   'magdiff': 0.24098199605941772,\n",
       "   'magfromlim': 2.3344600200653076,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 17.8169002532959,\n",
       "   'mindtoedge': 166.3699951171875,\n",
       "   'nbad': 0,\n",
       "   'nid': 492,\n",
       "   'nneg': 6,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0508/221736/ztf_20180508221736_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 492221731115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6403034,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.3199999928474426,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 5.99513,\n",
       "   'seeratio': -17.682199478149414,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.031300000846385956,\n",
       "   'sigmagapbig': 0.04809999838471413,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.024940000846982002,\n",
       "   'sky': -0.18064899742603302,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.9706109762191772,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1401.6700439453125,\n",
       "   'ypos': 166.3699951171875},\n",
       "  {'aimage': 1.0989999771118164,\n",
       "   'aimagerat': 0.2720299959182739,\n",
       "   'bimage': 0.9259999990463257,\n",
       "   'bimagerat': 0.22920799255371094,\n",
       "   'candid': 492222661115015000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 13.15149974822998,\n",
       "   'classtar': 0.9819999933242798,\n",
       "   'dec': 52.0296946,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.34079933166504,\n",
       "   'distnr': 0.18157200515270233,\n",
       "   'elong': 1.1868300437927246,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 4.039999961853027,\n",
       "   'isdiffpos': 't',\n",
       "   'jd': 2458246.722662,\n",
       "   'magap': 17.349700927734375,\n",
       "   'magapbig': 17.171300888061523,\n",
       "   'magdiff': 0.19398899376392365,\n",
       "   'magfromlim': 2.9910600185394287,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 17.15570068359375,\n",
       "   'mindtoedge': 165.30799865722656,\n",
       "   'nbad': 0,\n",
       "   'nid': 492,\n",
       "   'nneg': 1,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0508/222650/ztf_20180508222650_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 492222661115,\n",
       "   'programid': 3,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402845,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.7099999785423279,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 10.4256,\n",
       "   'seeratio': 0.7189990282058716,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.01940000057220459,\n",
       "   'sigmagapbig': 0.02710000053048134,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.016101999208331108,\n",
       "   'sky': 0.01511599961668253,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1400.8599853515625,\n",
       "   'ypos': 165.30799865722656},\n",
       "  {'aimage': 0.9869999885559082,\n",
       "   'aimagerat': 0.358909010887146,\n",
       "   'bimage': 0.8510000109672546,\n",
       "   'bimagerat': 0.309455007314682,\n",
       "   'candid': 492237691115015000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 12.332300186157227,\n",
       "   'classtar': 0.9739999771118164,\n",
       "   'dec': 52.0297098,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.304000854492188,\n",
       "   'distnr': 0.1537339985370636,\n",
       "   'elong': 1.159809947013855,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.75,\n",
       "   'isdiffpos': 't',\n",
       "   'jd': 2458246.7376968,\n",
       "   'magap': 17.57509994506836,\n",
       "   'magapbig': 17.460599899291992,\n",
       "   'magdiff': 0.19976699352264404,\n",
       "   'magfromlim': 2.728869915008545,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 17.37529945373535,\n",
       "   'mindtoedge': 177.35000610351562,\n",
       "   'nbad': 0,\n",
       "   'nid': 492,\n",
       "   'nneg': 2,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0508/237697/ztf_20180508237697_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 492237691115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402908,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.7200000286102295,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 8.56752,\n",
       "   'seeratio': 1.081279993057251,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.023499999195337296,\n",
       "   'sigmagapbig': 0.035100001841783524,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.019175000488758087,\n",
       "   'sky': -0.17246000468730927,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1401.949951171875,\n",
       "   'ypos': 177.35000610351562},\n",
       "  {'aimage': 0.8519999980926514,\n",
       "   'aimagerat': 0.9260870218276978,\n",
       "   'bimage': 0.7350000143051147,\n",
       "   'bimagerat': 0.7989130020141602,\n",
       "   'candid': 492263721115015000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 11.476900100708008,\n",
       "   'classtar': 0.9380000233650208,\n",
       "   'dec': 52.0297377,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.12820053100586,\n",
       "   'distnr': 0.148157000541687,\n",
       "   'elong': 1.1591800451278687,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 0.9200000166893005,\n",
       "   'isdiffpos': 't',\n",
       "   'jd': 2458246.7637269,\n",
       "   'magap': 17.960100173950195,\n",
       "   'magapbig': 17.863100051879883,\n",
       "   'magdiff': 0.16613100469112396,\n",
       "   'magfromlim': 2.1681299209594727,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 17.79400062561035,\n",
       "   'mindtoedge': 146.42599487304688,\n",
       "   'nbad': 0,\n",
       "   'nid': 492,\n",
       "   'nneg': 4,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0508/263715/ztf_20180508263715_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 492263721115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6403012,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.586667001247406,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 13.4779,\n",
       "   'seeratio': 3.6851398944854736,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.03280000016093254,\n",
       "   'sigmagapbig': 0.05130000039935112,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.027514999732375145,\n",
       "   'sky': 0.2868080139160156,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.9793559908866882,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1401.18994140625,\n",
       "   'ypos': 146.42599487304688},\n",
       "  {'aimage': 0.6119999885559082,\n",
       "   'aimagerat': 0.3029699921607971,\n",
       "   'bimage': 0.6029999852180481,\n",
       "   'bimagerat': 0.2985149919986725,\n",
       "   'candid': 493182981115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 36.50130081176758,\n",
       "   'classtar': 0.9829999804496765,\n",
       "   'dec': 52.0297626,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.9685001373291,\n",
       "   'distnr': 0.07398000359535217,\n",
       "   'elong': 1.014930009841919,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.0199999809265137,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458247.6829861,\n",
       "   'magap': 17.751100540161133,\n",
       "   'magapbig': 17.698400497436523,\n",
       "   'magdiff': 0.019555000588297844,\n",
       "   'magfromlim': 3.217449903488159,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.73150062561035,\n",
       "   'mindtoedge': 211.98699951171875,\n",
       "   'nbad': 0,\n",
       "   'nid': 493,\n",
       "   'nneg': 3,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0509/182940/ztf_20180509182940_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 493182981115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402558,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.7466670274734497,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 15.3563,\n",
       "   'seeratio': 1.203629970550537,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.019500000402331352,\n",
       "   'sigmagapbig': 0.029500000178813934,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.017006000503897667,\n",
       "   'sky': 0.26146501302719116,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.9916960000991821,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1393.6300048828125,\n",
       "   'ypos': 211.98699951171875},\n",
       "  {'aimage': 0.6570000052452087,\n",
       "   'aimagerat': 0.25764700770378113,\n",
       "   'bimage': 0.6389999985694885,\n",
       "   'bimagerat': 0.25058799982070923,\n",
       "   'candid': 493198791115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 22.837900161743164,\n",
       "   'classtar': 0.984000027179718,\n",
       "   'dec': 52.0297475,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.977500915527344,\n",
       "   'distnr': 0.06673800200223923,\n",
       "   'elong': 1.0281699895858765,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.549999952316284,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458247.6987963,\n",
       "   'magap': 17.78219985961914,\n",
       "   'magapbig': 17.799999237060547,\n",
       "   'magdiff': 0.030146999284625053,\n",
       "   'magfromlim': 3.1952900886535645,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.752099990844727,\n",
       "   'mindtoedge': 213.88400268554688,\n",
       "   'nbad': 0,\n",
       "   'nid': 493,\n",
       "   'nneg': 4,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0509/198785/ztf_20180509198785_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 493198791115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402763,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.75,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 19.7342,\n",
       "   'seeratio': 0.9716259837150574,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.01979999989271164,\n",
       "   'sigmagapbig': 0.031700000166893005,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.017544999718666077,\n",
       "   'sky': 0.24525800347328186,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.9926699995994568,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1398.6099853515625,\n",
       "   'ypos': 213.88400268554688},\n",
       "  {'aimage': 0.734000027179718,\n",
       "   'aimagerat': 0.18034400045871735,\n",
       "   'bimage': 0.6970000267028809,\n",
       "   'bimagerat': 0.1712529957294464,\n",
       "   'candid': 493200191115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 23.336999893188477,\n",
       "   'classtar': 0.9829999804496765,\n",
       "   'dec': 52.029724,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.993200302124023,\n",
       "   'distnr': 0.08112499862909317,\n",
       "   'elong': 1.0530799627304077,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 4.070000171661377,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458247.7001968,\n",
       "   'magap': 17.766300201416016,\n",
       "   'magapbig': 17.71660041809082,\n",
       "   'magdiff': 0.036375999450683594,\n",
       "   'magfromlim': 3.226870059967041,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.729900360107422,\n",
       "   'mindtoedge': 213.36199951171875,\n",
       "   'nbad': 0,\n",
       "   'nid': 493,\n",
       "   'nneg': 4,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0509/200150/ztf_20180509200150_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 493200191115,\n",
       "   'programid': 3,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402686,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.6966670155525208,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 26.0303,\n",
       "   'seeratio': 0.6037269830703735,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.019500000402331352,\n",
       "   'sigmagapbig': 0.02930000051856041,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.0170889999717474,\n",
       "   'sky': -0.03121899999678135,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.986615002155304,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1397.97998046875,\n",
       "   'ypos': 213.36199951171875},\n",
       "  {'aimage': 0.9660000205039978,\n",
       "   'aimagerat': 0.10890600085258484,\n",
       "   'bimage': 0.9110000133514404,\n",
       "   'bimagerat': 0.10270600020885468,\n",
       "   'candid': 493227581115010000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 11.848600387573242,\n",
       "   'classtar': 0.9980000257492065,\n",
       "   'dec': 52.0297219,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.54520034790039,\n",
       "   'distnr': 0.11186999827623367,\n",
       "   'elong': 1.0603699684143066,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 8.869999885559082,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458247.727581,\n",
       "   'magap': 18.045900344848633,\n",
       "   'magapbig': 17.92889976501465,\n",
       "   'magdiff': -0.05398799851536751,\n",
       "   'magfromlim': 2.4993300437927246,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 18.099899291992188,\n",
       "   'mindtoedge': 216.22799682617188,\n",
       "   'nbad': 0,\n",
       "   'nid': 493,\n",
       "   'nneg': 2,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0509/227546/ztf_20180509227546_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 493227581115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402802,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.6200000047683716,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 13.8438,\n",
       "   'seeratio': 0.29579898715019226,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.03009999915957451,\n",
       "   'sigmagapbig': 0.04729999974370003,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.029089000076055527,\n",
       "   'sky': 0.32257699966430664,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1401.6600341796875,\n",
       "   'ypos': 216.22799682617188},\n",
       "  {'aimage': 0.8930000066757202,\n",
       "   'aimagerat': 0.12595200538635254,\n",
       "   'bimage': 0.8289999961853027,\n",
       "   'bimagerat': 0.11692500114440918,\n",
       "   'candid': 493240491115010000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 16.43869972229004,\n",
       "   'classtar': 0.9879999756813049,\n",
       "   'dec': 52.0297295,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.582199096679688,\n",
       "   'distnr': 0.040504999458789825,\n",
       "   'elong': 1.0772000551223755,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 7.090000152587891,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458247.7404977,\n",
       "   'magap': 17.97909927368164,\n",
       "   'magapbig': 17.8700008392334,\n",
       "   'magdiff': -0.12738099694252014,\n",
       "   'magfromlim': 2.6031301021575928,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 18.10650062561035,\n",
       "   'mindtoedge': 212.28399658203125,\n",
       "   'nbad': 0,\n",
       "   'nid': 493,\n",
       "   'nneg': 3,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0509/240486/ztf_20180509240486_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 493240491115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402173,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.636667013168335,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 21.8759,\n",
       "   'seeratio': 0.3590329885482788,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.0284000001847744,\n",
       "   'sigmagapbig': 0.04470000043511391,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.027972999960184097,\n",
       "   'sky': -0.29583799839019775,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.992618978023529,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1404.6300048828125,\n",
       "   'ypos': 212.28399658203125},\n",
       "  {'aimage': 0.9860000014305115,\n",
       "   'aimagerat': 0.691959023475647,\n",
       "   'bimage': 0.8420000076293945,\n",
       "   'bimagerat': 0.5909019708633423,\n",
       "   'candid': 493253341115010000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 11.660499572753906,\n",
       "   'classtar': 0.6579999923706055,\n",
       "   'dec': 52.029695,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.485700607299805,\n",
       "   'distnr': 0.14182299375534058,\n",
       "   'elong': 1.1710200309753418,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 1.4249399900436401,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458247.7533449,\n",
       "   'magap': 18.107900619506836,\n",
       "   'magapbig': 18.129499435424805,\n",
       "   'magdiff': -0.10315799713134766,\n",
       "   'magfromlim': 2.377840042114258,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 18.21109962463379,\n",
       "   'mindtoedge': 212.30099487304688,\n",
       "   'nbad': 0,\n",
       "   'nid': 493,\n",
       "   'nneg': 2,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0509/253137/ztf_20180509253137_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 493253341115,\n",
       "   'programid': 3,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402318,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.6866670250892639,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 8.44792,\n",
       "   'seeratio': 2.0,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.031599998474121094,\n",
       "   'sigmagapbig': 0.05550000071525574,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.03236899897456169,\n",
       "   'sky': 0.7458770275115967,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1404.6400146484375,\n",
       "   'ypos': 212.30099487304688},\n",
       "  {'aimage': 0.843999981880188,\n",
       "   'aimagerat': 0.3102940022945404,\n",
       "   'bimage': 0.7979999780654907,\n",
       "   'bimagerat': 0.2933819890022278,\n",
       "   'candid': 493301131115015000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 47.52989959716797,\n",
       "   'classtar': 0.9829999804496765,\n",
       "   'dec': 52.0297034,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.877599716186523,\n",
       "   'distnr': 0.1389169991016388,\n",
       "   'elong': 1.0576399564743042,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.7200000286102295,\n",
       "   'isdiffpos': 't',\n",
       "   'jd': 2458247.8011343,\n",
       "   'magap': 16.881900787353516,\n",
       "   'magapbig': 16.778400421142578,\n",
       "   'magdiff': -0.03752199932932854,\n",
       "   'magfromlim': 3.9957199096679688,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 16.91939926147461,\n",
       "   'mindtoedge': 201.4290008544922,\n",
       "   'nbad': 0,\n",
       "   'nid': 493,\n",
       "   'nneg': 2,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0509/301076/ztf_20180509301076_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 493301131115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402485,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.7566670179367065,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 68.6396,\n",
       "   'seeratio': 0.970782995223999,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.011900000274181366,\n",
       "   'sigmagapbig': 0.014800000004470348,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.012013000436127186,\n",
       "   'sky': -0.06379500031471252,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1410.3599853515625,\n",
       "   'ypos': 201.4290008544922},\n",
       "  {'aimage': 0.6610000133514404,\n",
       "   'aimagerat': 0.2849139869213104,\n",
       "   'bimage': 0.6510000228881836,\n",
       "   'bimagerat': 0.28060299158096313,\n",
       "   'candid': 494181411115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 33.317100524902344,\n",
       "   'classtar': 0.9819999933242798,\n",
       "   'dec': 52.0297482,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.907800674438477,\n",
       "   'distnr': 0.032891999930143356,\n",
       "   'elong': 1.0153599977493286,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.319999933242798,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458248.681412,\n",
       "   'magap': 17.635299682617188,\n",
       "   'magapbig': 17.538999557495117,\n",
       "   'magdiff': -0.011629999615252018,\n",
       "   'magfromlim': 3.2724900245666504,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.646900177001953,\n",
       "   'mindtoedge': 215.51100158691406,\n",
       "   'nbad': 0,\n",
       "   'nid': 494,\n",
       "   'nneg': 2,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0510/181354/ztf_20180510181354_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 494181411115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402617,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.7966669797897339,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 38.8334,\n",
       "   'seeratio': 1.0635499954223633,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.01769999973475933,\n",
       "   'sigmagapbig': 0.02630000002682209,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.01498399954289198,\n",
       "   'sky': -0.4018329977989197,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1396.050048828125,\n",
       "   'ypos': 215.51100158691406},\n",
       "  {'aimage': 0.6800000071525574,\n",
       "   'aimagerat': 0.2969430088996887,\n",
       "   'bimage': 0.6700000166893005,\n",
       "   'bimagerat': 0.29257598519325256,\n",
       "   'candid': 494196181115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 13.882599830627441,\n",
       "   'classtar': 0.9850000143051147,\n",
       "   'dec': 52.0297511,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.886899948120117,\n",
       "   'distnr': 0.03141200169920921,\n",
       "   'elong': 1.014930009841919,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.2899999618530273,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458248.6961806,\n",
       "   'magap': 17.621299743652344,\n",
       "   'magapbig': 17.5314998626709,\n",
       "   'magdiff': 0.046587999910116196,\n",
       "   'magfromlim': 3.2655599117279053,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.57469940185547,\n",
       "   'mindtoedge': 206.7899932861328,\n",
       "   'nbad': 0,\n",
       "   'nid': 494,\n",
       "   'nneg': 2,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0510/196169/ztf_20180510196169_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 494196181115,\n",
       "   'programid': 1,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402502,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.8066669702529907,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 33.0271,\n",
       "   'seeratio': 1.0874899625778198,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.01759999990463257,\n",
       "   'sigmagapbig': 0.02630000002682209,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.014526000246405602,\n",
       "   'sky': -0.3473159968852997,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.9950060248374939,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1396.1700439453125,\n",
       "   'ypos': 206.7899932861328},\n",
       "  {'aimage': 0.6990000009536743,\n",
       "   'aimagerat': 0.2523469924926758,\n",
       "   'bimage': 0.6840000152587891,\n",
       "   'bimagerat': 0.24693100154399872,\n",
       "   'candid': 494197091115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 10.45460033416748,\n",
       "   'classtar': 0.9829999804496765,\n",
       "   'dec': 52.029742,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.836299896240234,\n",
       "   'distnr': 0.0019000000320374966,\n",
       "   'elong': 1.0219299793243408,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.7699999809265137,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458248.6970949,\n",
       "   'magap': 17.677499771118164,\n",
       "   'magapbig': 17.619400024414062,\n",
       "   'magdiff': 0.09165500104427338,\n",
       "   'magfromlim': 3.158799886703491,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.585800170898438,\n",
       "   'mindtoedge': 206.84300231933594,\n",
       "   'nbad': 0,\n",
       "   'nid': 494,\n",
       "   'nneg': 2,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0510/197083/ztf_20180510197083_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 494197091115,\n",
       "   'programid': 3,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402469,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.800000011920929,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 30.6984,\n",
       "   'seeratio': 0.9216510057449341,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.01860000006854534,\n",
       "   'sigmagapbig': 0.02889999933540821,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.014763999730348587,\n",
       "   'sky': 0.08137600123882294,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1396.1800537109375,\n",
       "   'ypos': 206.84300231933594},\n",
       "  {'aimage': 0.671999990940094,\n",
       "   'aimagerat': 0.3054549992084503,\n",
       "   'bimage': 0.6589999794960022,\n",
       "   'bimagerat': 0.2995449900627136,\n",
       "   'candid': 494198061115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 41.220699310302734,\n",
       "   'classtar': 0.9919999837875366,\n",
       "   'dec': 52.0297489,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.853500366210938,\n",
       "   'distnr': 0.024728000164031982,\n",
       "   'elong': 1.0197299718856812,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.200000047683716,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458248.6980671,\n",
       "   'magap': 17.625499725341797,\n",
       "   'magapbig': 17.552799224853516,\n",
       "   'magdiff': -0.018636999651789665,\n",
       "   'magfromlim': 3.2279601097106934,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.644100189208984,\n",
       "   'mindtoedge': 206.73800659179688,\n",
       "   'nbad': 0,\n",
       "   'nid': 494,\n",
       "   'nneg': 1,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0510/198032/ztf_20180510198032_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 494198061115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402513,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.8233330249786377,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 41.0996,\n",
       "   'seeratio': 1.155940055847168,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.01759999990463257,\n",
       "   'sigmagapbig': 0.027000000700354576,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.014806999824941158,\n",
       "   'sky': -0.1673080027103424,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1396.52001953125,\n",
       "   'ypos': 206.73800659179688},\n",
       "  {'aimage': 0.7279999852180481,\n",
       "   'aimagerat': 0.29354798793792725,\n",
       "   'bimage': 0.6919999718666077,\n",
       "   'bimagerat': 0.27903199195861816,\n",
       "   'candid': 494226141115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 8.040630340576172,\n",
       "   'classtar': 0.9829999804496765,\n",
       "   'dec': 52.0297373,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.858800888061523,\n",
       "   'distnr': 0.01870100013911724,\n",
       "   'elong': 1.0520199537277222,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.4800000190734863,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458248.7261458,\n",
       "   'magap': 17.685199737548828,\n",
       "   'magapbig': 17.598800659179688,\n",
       "   'magdiff': 0.08675199747085571,\n",
       "   'magfromlim': 3.1735999584198,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.598400115966797,\n",
       "   'mindtoedge': 205.90499877929688,\n",
       "   'nbad': 0,\n",
       "   'nid': 494,\n",
       "   'nneg': 2,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0510/226146/ztf_20180510226146_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 494226141115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402476,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.8299999833106995,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 31.8931,\n",
       "   'seeratio': 1.035390019416809,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.01850000023841858,\n",
       "   'sigmagapbig': 0.027899999171495438,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.01522000040858984,\n",
       "   'sky': -0.30461999773979187,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1398.1400146484375,\n",
       "   'ypos': 205.90499877929688},\n",
       "  {'aimage': 1.0490000247955322,\n",
       "   'aimagerat': 0.30852898955345154,\n",
       "   'bimage': 0.8610000014305115,\n",
       "   'bimagerat': 0.25323501229286194,\n",
       "   'candid': 494246031115010000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 10.26200008392334,\n",
       "   'classtar': 0.7649999856948853,\n",
       "   'dec': 52.0297043,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.3971004486084,\n",
       "   'distnr': 0.10941500216722488,\n",
       "   'elong': 1.2183500528335571,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 3.4000000953674316,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458248.7460301,\n",
       "   'magap': 18.17770004272461,\n",
       "   'magapbig': 18.052400588989258,\n",
       "   'magdiff': -0.08320000022649765,\n",
       "   'magfromlim': 2.21943998336792,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 18.260900497436523,\n",
       "   'mindtoedge': 210.37899780273438,\n",
       "   'nbad': 0,\n",
       "   'nid': 494,\n",
       "   'nneg': 1,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0510/246030/ztf_20180510246030_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 494246031115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402385,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.663332998752594,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 13.1332,\n",
       "   'seeratio': 0.872061014175415,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.034299999475479126,\n",
       "   'sigmagapbig': 0.053599998354911804,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.03364599868655205,\n",
       "   'sky': 0.02576499991118908,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1405.5400390625,\n",
       "   'ypos': 210.37899780273438},\n",
       "  {'aimage': 1.2330000400543213,\n",
       "   'aimagerat': 0.8098859786987305,\n",
       "   'bimage': 1.0839999914169312,\n",
       "   'bimagerat': 0.7120159864425659,\n",
       "   'candid': 494259811115010000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 11.041500091552734,\n",
       "   'classtar': 0.8740000128746033,\n",
       "   'dec': 52.0296505,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.351200103759766,\n",
       "   'distnr': 0.3034769892692566,\n",
       "   'elong': 1.1374499797821045,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 1.522439956665039,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458248.7598148,\n",
       "   'magap': 18.33639907836914,\n",
       "   'magapbig': 18.021099090576172,\n",
       "   'magdiff': 0.1374790072441101,\n",
       "   'magfromlim': 2.0147900581359863,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 18.19890022277832,\n",
       "   'mindtoedge': 206.60400390625,\n",
       "   'nbad': 0,\n",
       "   'nid': 494,\n",
       "   'nneg': 0,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0510/259780/ztf_20180510259780_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 494259811115,\n",
       "   'programid': 1,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.640255,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.6399999856948853,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 6.03594,\n",
       "   'seeratio': 2.0,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.03880000114440918,\n",
       "   'sigmagapbig': 0.05260000005364418,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.03042300045490265,\n",
       "   'sky': 0.4111329913139343,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1405.9000244140625,\n",
       "   'ypos': 206.60400390625},\n",
       "  {'aimage': 0.7609999775886536,\n",
       "   'aimagerat': 0.575357973575592,\n",
       "   'bimage': 0.7229999899864197,\n",
       "   'bimagerat': 0.5466279983520508,\n",
       "   'candid': 495176451115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 1.712730050086975,\n",
       "   'classtar': 0.9739999771118164,\n",
       "   'dec': 52.0297478,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 18.896699905395508,\n",
       "   'distnr': 0.02609900012612343,\n",
       "   'elong': 1.0525599718093872,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 1.3226499557495117,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458249.6764583,\n",
       "   'magap': 18.7091007232666,\n",
       "   'magapbig': 18.772499084472656,\n",
       "   'magdiff': 0.13141700625419617,\n",
       "   'magfromlim': 0.1876469999551773,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 18.577699661254883,\n",
       "   'mindtoedge': 187.67599487304688,\n",
       "   'nbad': 0,\n",
       "   'nid': 495,\n",
       "   'nneg': 6,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0511/176458/ztf_20180511176458_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 495176451115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402386,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.41999998688697815,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 5.06118,\n",
       "   'seeratio': 2.0,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.31709998846054077,\n",
       "   'sigmagapbig': 0.4275999963283539,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.17951600253582,\n",
       "   'sky': 2.0301198959350586,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1394.7900390625,\n",
       "   'ypos': 187.67599487304688},\n",
       "  {'aimage': 0.9480000138282776,\n",
       "   'aimagerat': 0.24947400391101837,\n",
       "   'bimage': 0.8009999990463257,\n",
       "   'bimagerat': 0.21078899502754211,\n",
       "   'candid': 495200151115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 4.805689811706543,\n",
       "   'classtar': 0.9829999804496765,\n",
       "   'dec': 52.0297231,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.74209976196289,\n",
       "   'distnr': 0.07440599799156189,\n",
       "   'elong': 1.183519959449768,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 3.799999952316284,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458249.7001505,\n",
       "   'magap': 18.002500534057617,\n",
       "   'magapbig': 17.949899673461914,\n",
       "   'magdiff': 0.0021210000850260258,\n",
       "   'magfromlim': 2.739569902420044,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 18.00040054321289,\n",
       "   'mindtoedge': 183.17799377441406,\n",
       "   'nbad': 0,\n",
       "   'nid': 495,\n",
       "   'nneg': 1,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0511/200139/ztf_20180511200139_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 495200151115,\n",
       "   'programid': 3,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402341,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.7333329916000366,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 14.1926,\n",
       "   'seeratio': 0.6998929977416992,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.03579999879002571,\n",
       "   'sigmagapbig': 0.04100000113248825,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.02600800059735775,\n",
       "   'sky': 0.025756999850273132,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1397.9000244140625,\n",
       "   'ypos': 183.17799377441406},\n",
       "  {'aimage': 0.9070000052452087,\n",
       "   'aimagerat': 0.2897759974002838,\n",
       "   'bimage': 0.7559999823570251,\n",
       "   'bimagerat': 0.24153399467468262,\n",
       "   'candid': 495201061115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 7.715750217437744,\n",
       "   'classtar': 0.9919999837875366,\n",
       "   'dec': 52.0297181,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.76059913635254,\n",
       "   'distnr': 0.09759800136089325,\n",
       "   'elong': 1.1997400522232056,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 3.130000114440918,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458249.7010648,\n",
       "   'magap': 18.05150032043457,\n",
       "   'magapbig': 18.012399673461914,\n",
       "   'magdiff': -0.02550099976360798,\n",
       "   'magfromlim': 2.709049940109253,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 18.07699966430664,\n",
       "   'mindtoedge': 183.2310028076172,\n",
       "   'nbad': 0,\n",
       "   'nid': 495,\n",
       "   'nneg': 0,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0511/201053/ztf_20180511201053_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 495201061115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402672,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.7300000190734863,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 24.0534,\n",
       "   'seeratio': 0.8617640137672424,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.0364999994635582,\n",
       "   'sigmagapbig': 0.04230000078678131,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.027497999370098114,\n",
       "   'sky': -0.0494379997253418,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1398.3499755859375,\n",
       "   'ypos': 183.2310028076172},\n",
       "  {'aimage': 1.1119999885559082,\n",
       "   'aimagerat': 0.209416002035141,\n",
       "   'bimage': 0.9049999713897705,\n",
       "   'bimagerat': 0.17043299973011017,\n",
       "   'candid': 495226311115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 4.371409893035889,\n",
       "   'classtar': 0.9869999885559082,\n",
       "   'dec': 52.0296943,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.460599899291992,\n",
       "   'distnr': 0.17650699615478516,\n",
       "   'elong': 1.2287299633026123,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 5.309999942779541,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458249.7263194,\n",
       "   'magap': 17.819299697875977,\n",
       "   'magapbig': 17.805599212646484,\n",
       "   'magdiff': 0.0036490000784397125,\n",
       "   'magfromlim': 2.6412899494171143,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.81570053100586,\n",
       "   'mindtoedge': 180.03799438476562,\n",
       "   'nbad': 0,\n",
       "   'nid': 495,\n",
       "   'nneg': 0,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0511/226308/ztf_20180511226308_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 495226311115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402277,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.5899999737739563,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 20.0609,\n",
       "   'seeratio': 0.6075620055198669,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.031700000166893005,\n",
       "   'sigmagapbig': 0.03790000081062317,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.023213999345898628,\n",
       "   'sky': 0.21543699502944946,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1399.239990234375,\n",
       "   'ypos': 180.03799438476562},\n",
       "  {'aimage': 1.569000005722046,\n",
       "   'aimagerat': 0.2700519859790802,\n",
       "   'bimage': 1.3530000448226929,\n",
       "   'bimagerat': 0.23287400603294373,\n",
       "   'candid': 495239101115010046,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 14.828100204467773,\n",
       "   'classtar': 0.9819999933242798,\n",
       "   'dec': 52.0295587,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 19.689300537109375,\n",
       "   'distnr': 0.6335309743881226,\n",
       "   'elong': 1.1596399545669556,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 5.809999942779541,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458249.7391088,\n",
       "   'magap': 17.476900100708008,\n",
       "   'magapbig': 17.488800048828125,\n",
       "   'magdiff': 0.141075000166893,\n",
       "   'magfromlim': 2.212399959564209,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 17.335800170898438,\n",
       "   'mindtoedge': 188.1199951171875,\n",
       "   'nbad': 0,\n",
       "   'nid': 495,\n",
       "   'nneg': 0,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0511/239074/ztf_20180511239074_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 495239101115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.640191,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.536666989326477,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 59.7113,\n",
       "   'seeratio': 0.9262909889221191,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.026599999517202377,\n",
       "   'sigmagapbig': 0.03310000151395798,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.01928599923849106,\n",
       "   'sky': 0.40455999970436096,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 46,\n",
       "   'xpos': 1406.6400146484375,\n",
       "   'ypos': 188.1199951171875},\n",
       "  {'aimage': 1.8880000114440918,\n",
       "   'aimagerat': 0.4593670070171356,\n",
       "   'bimage': 1.434999942779541,\n",
       "   'bimagerat': 0.3491480052471161,\n",
       "   'candid': 495240931115010000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 3.6845099925994873,\n",
       "   'classtar': 0.7310000061988831,\n",
       "   'dec': 52.0294646,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 19.636499404907227,\n",
       "   'distnr': 1.0219600200653076,\n",
       "   'elong': 1.3156800270080566,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 4.110000133514404,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458249.7409375,\n",
       "   'magap': 18.391199111938477,\n",
       "   'magapbig': 18.36009979248047,\n",
       "   'magdiff': 0.03277900069952011,\n",
       "   'magfromlim': 1.2453199625015259,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 18.358400344848633,\n",
       "   'mindtoedge': 184.21099853515625,\n",
       "   'nbad': 0,\n",
       "   'nid': 495,\n",
       "   'nneg': 1,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0511/240926/ztf_20180511240926_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 495240931115,\n",
       "   'programid': 3,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6400746,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.41666701436042786,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 18.445,\n",
       "   'seeratio': 1.3068599700927734,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.06549999862909317,\n",
       "   'sigmagapbig': 0.07810000330209732,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.05401499941945076,\n",
       "   'sky': 0.41489800810813904,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1406.719970703125,\n",
       "   'ypos': 184.21099853515625},\n",
       "  {'aimage': 1.2300000190734863,\n",
       "   'aimagerat': 0.4624060094356537,\n",
       "   'bimage': 1.0420000553131104,\n",
       "   'bimagerat': 0.3917289972305298,\n",
       "   'candid': 496239431115010043,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 4.1132001876831055,\n",
       "   'classtar': 0.6549999713897705,\n",
       "   'dec': 52.0293835,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.153099060058594,\n",
       "   'distnr': 1.2931400537490845,\n",
       "   'elong': 1.1804200410842896,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.6600000858306885,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458250.7394329,\n",
       "   'magap': 18.674100875854492,\n",
       "   'magapbig': 18.701400756835938,\n",
       "   'magdiff': 0.12479700148105621,\n",
       "   'magfromlim': 1.4790300130844116,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 18.549299240112305,\n",
       "   'mindtoedge': 221.8260040283203,\n",
       "   'nbad': 0,\n",
       "   'nid': 496,\n",
       "   'nneg': 1,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0512/239421/ztf_20180512239421_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 496239431115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6403862,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.4666669964790344,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 13.5882,\n",
       "   'seeratio': 1.7204099893569946,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.06560000032186508,\n",
       "   'sigmagapbig': 0.08110000193119049,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.05112500116229057,\n",
       "   'sky': 0.5074319839477539,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 43,\n",
       "   'xpos': 1401.9100341796875,\n",
       "   'ypos': 221.8260040283203},\n",
       "  {'aimage': 0.8970000147819519,\n",
       "   'aimagerat': 0.2777090072631836,\n",
       "   'bimage': 0.7770000100135803,\n",
       "   'bimagerat': 0.240557000041008,\n",
       "   'candid': 501201921115015000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 3.494450092315674,\n",
       "   'classtar': 0.9739999771118164,\n",
       "   'dec': 52.0297179,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.670799255371094,\n",
       "   'distnr': 0.1578969955444336,\n",
       "   'elong': 1.1544400453567505,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 3.2300000190734863,\n",
       "   'isdiffpos': 't',\n",
       "   'jd': 2458255.7019213,\n",
       "   'magap': 18.954599380493164,\n",
       "   'magapbig': 19.020700454711914,\n",
       "   'magdiff': 0.1184609979391098,\n",
       "   'magfromlim': 1.7161799669265747,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 18.83609962463379,\n",
       "   'mindtoedge': 296.3290100097656,\n",
       "   'nbad': 0,\n",
       "   'nid': 501,\n",
       "   'nneg': 1,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0517/201887/ztf_20180517201887_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 501201921115,\n",
       "   'programid': 3,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6401868,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.6399999856948853,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 13.1073,\n",
       "   'seeratio': 0.874737024307251,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.08789999783039093,\n",
       "   'sigmagapbig': 0.11150000244379044,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.06029300019145012,\n",
       "   'sky': -0.0067460001446306705,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1400.6099853515625,\n",
       "   'ypos': 296.3290100097656},\n",
       "  {'aimage': 0.9639999866485596,\n",
       "   'aimagerat': 0.26195698976516724,\n",
       "   'bimage': 0.9190000295639038,\n",
       "   'bimagerat': 0.2497279942035675,\n",
       "   'candid': 502249511115015001,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 18.822999954223633,\n",
       "   'classtar': 0.9879999756813049,\n",
       "   'dec': 52.0297247,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.357900619506836,\n",
       "   'distnr': 0.055792998522520065,\n",
       "   'elong': 1.0489699840545654,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 3.680000066757202,\n",
       "   'isdiffpos': 't',\n",
       "   'jd': 2458256.7495139,\n",
       "   'magap': 17.334400177001953,\n",
       "   'magapbig': 17.282899856567383,\n",
       "   'magdiff': 0.03570200130343437,\n",
       "   'magfromlim': 3.0234599113464355,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 17.2987003326416,\n",
       "   'mindtoedge': 294.53399658203125,\n",
       "   'nbad': 0,\n",
       "   'nid': 502,\n",
       "   'nneg': 0,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0518/249502/ztf_20180518249502_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 502249511115,\n",
       "   'programid': 3,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402381,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.8166670203208923,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 50.3102,\n",
       "   'seeratio': 0.8045499920845032,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.025699999183416367,\n",
       "   'sigmagapbig': 0.029200000688433647,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.018868999555706978,\n",
       "   'sky': -0.12942400574684143,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 1,\n",
       "   'xpos': 1407.6099853515625,\n",
       "   'ypos': 294.53399658203125},\n",
       "  {'aimage': 0.6660000085830688,\n",
       "   'aimagerat': 0.10846900194883347,\n",
       "   'bimage': 0.6060000061988831,\n",
       "   'bimagerat': 0.0986969992518425,\n",
       "   'candid': 503221051115010000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 42.65599822998047,\n",
       "   'classtar': 1.0,\n",
       "   'dec': 52.0297364,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.57069969177246,\n",
       "   'distnr': 0.14210399985313416,\n",
       "   'elong': 1.0990099906921387,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 6.139999866485596,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458257.7210532,\n",
       "   'magap': 18.05120086669922,\n",
       "   'magapbig': 18.047700881958008,\n",
       "   'magdiff': 0.0016469999682158232,\n",
       "   'magfromlim': 2.5194499492645264,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 18.04960060119629,\n",
       "   'mindtoedge': 305.489013671875,\n",
       "   'nbad': 0,\n",
       "   'nid': 503,\n",
       "   'nneg': 5,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0519/221019/ztf_20180519221019_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 503221051115,\n",
       "   'programid': 1,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.640298,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.6033329963684082,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 25.2085,\n",
       "   'seeratio': 0.3913010060787201,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.04600000008940697,\n",
       "   'sigmagapbig': 0.05590000003576279,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.0313740000128746,\n",
       "   'sky': 0.007763000205159187,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.9819729924201965,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1400.550048828125,\n",
       "   'ypos': 305.489013671875},\n",
       "  {'aimage': 0.6290000081062317,\n",
       "   'aimagerat': 0.2567349970340729,\n",
       "   'bimage': 0.5789999961853027,\n",
       "   'bimagerat': 0.23632700741291046,\n",
       "   'candid': 504177561115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 44.6708984375,\n",
       "   'classtar': 1.0,\n",
       "   'dec': 52.0297655,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.7106990814209,\n",
       "   'distnr': 0.0833050012588501,\n",
       "   'elong': 1.086359977722168,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.450000047683716,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458258.6775694,\n",
       "   'magap': 17.644500732421875,\n",
       "   'magapbig': 17.630199432373047,\n",
       "   'magdiff': -0.0005389999714680016,\n",
       "   'magfromlim': 3.0662500858306885,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.645000457763672,\n",
       "   'mindtoedge': 293.53399658203125,\n",
       "   'nbad': 0,\n",
       "   'nid': 504,\n",
       "   'nneg': 5,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0520/177558/ztf_20180520177558_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 504177561115,\n",
       "   'programid': 3,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402544,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.713333010673523,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 52.8592,\n",
       "   'seeratio': 0.9987220168113708,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.027699999511241913,\n",
       "   'sigmagapbig': 0.03319999948143959,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.01844700053334236,\n",
       "   'sky': -0.18529100716114044,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.9631850123405457,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1400.4300537109375,\n",
       "   'ypos': 293.53399658203125},\n",
       "  {'aimage': 0.7440000176429749,\n",
       "   'aimagerat': 0.2131810039281845,\n",
       "   'bimage': 0.7400000095367432,\n",
       "   'bimagerat': 0.21203400194644928,\n",
       "   'candid': 504202031115010000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 10.481800079345703,\n",
       "   'classtar': 0.984000027179718,\n",
       "   'dec': 52.0297673,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.447200775146484,\n",
       "   'distnr': 0.15305200219154358,\n",
       "   'elong': 1.0053999423980713,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 3.490000009536743,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458258.702037,\n",
       "   'magap': 18.159299850463867,\n",
       "   'magapbig': 18.24329948425293,\n",
       "   'magdiff': 0.033861998468637466,\n",
       "   'magfromlim': 2.2878599166870117,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 18.12540054321289,\n",
       "   'mindtoedge': 286.7669982910156,\n",
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       "   'nid': 504,\n",
       "   'nneg': 3,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0520/201991/ztf_20180520201991_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 504202031115,\n",
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       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402802,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.6766669750213623,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 12.196,\n",
       "   'seeratio': 0.7150220274925232,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.05380000174045563,\n",
       "   'sigmagapbig': 0.0714000016450882,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.035551998764276505,\n",
       "   'sky': 0.09219399839639664,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1398.5899658203125,\n",
       "   'ypos': 286.7669982910156},\n",
       "  {'aimage': 0.8100000023841858,\n",
       "   'aimagerat': 0.17270800471305847,\n",
       "   'bimage': 0.6299999952316284,\n",
       "   'bimagerat': 0.1343279927968979,\n",
       "   'candid': 506201811115015000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 8.186349868774414,\n",
       "   'classtar': 0.9850000143051147,\n",
       "   'dec': 52.0296354,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.274200439453125,\n",
       "   'distnr': 0.3718219995498657,\n",
       "   'elong': 1.2857099771499634,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 4.690000057220459,\n",
       "   'isdiffpos': 't',\n",
       "   'jd': 2458260.7018171,\n",
       "   'magap': 18.15690040588379,\n",
       "   'magapbig': 18.093299865722656,\n",
       "   'magdiff': 0.01762700080871582,\n",
       "   'magfromlim': 2.117269992828369,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 18.139299392700195,\n",
       "   'mindtoedge': 324.10699462890625,\n",
       "   'nbad': 0,\n",
       "   'nid': 506,\n",
       "   'nneg': 3,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0522/201806/ztf_20180522201806_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 506201811115,\n",
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       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402336,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.4566670060157776,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 12.6542,\n",
       "   'seeratio': 0.5184080004692078,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.06400000303983688,\n",
       "   'sigmagapbig': 0.07440000027418137,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.04345100000500679,\n",
       "   'sky': 0.23125000298023224,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1403.22998046875,\n",
       "   'ypos': 324.10699462890625},\n",
       "  {'aimage': 1.027999997138977,\n",
       "   'aimagerat': 0.3544830083847046,\n",
       "   'bimage': 0.7699999809265137,\n",
       "   'bimagerat': 0.265516996383667,\n",
       "   'candid': 506202731115015000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 15.649200439453125,\n",
       "   'classtar': 0.7519999742507935,\n",
       "   'dec': 52.0297204,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.266300201416016,\n",
       "   'distnr': 0.13080599904060364,\n",
       "   'elong': 1.335070013999939,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.9000000953674316,\n",
       "   'isdiffpos': 't',\n",
       "   'jd': 2458260.7027315,\n",
       "   'magap': 18.209800720214844,\n",
       "   'magapbig': 18.287099838256836,\n",
       "   'magdiff': -0.003286000108346343,\n",
       "   'magfromlim': 2.0564699172973633,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 18.21310043334961,\n",
       "   'mindtoedge': 323.55499267578125,\n",
       "   'nbad': 0,\n",
       "   'nid': 506,\n",
       "   'nneg': 5,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0522/202720/ztf_20180522202720_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 506202731115,\n",
       "   'programid': 3,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402886,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.4533329904079437,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 6.60335,\n",
       "   'seeratio': 0.8365970253944397,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.06750000268220901,\n",
       "   'sigmagapbig': 0.0892999991774559,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.04648499935865402,\n",
       "   'sky': 0.12118499726057053,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.9576849937438965,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1403.8299560546875,\n",
       "   'ypos': 323.55499267578125},\n",
       "  {'aimage': 0.843999981880188,\n",
       "   'aimagerat': 0.3233720064163208,\n",
       "   'bimage': 0.6480000019073486,\n",
       "   'bimagerat': 0.2482759952545166,\n",
       "   'candid': 508218391115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 40.268699645996094,\n",
       "   'classtar': 0.9850000143051147,\n",
       "   'dec': 52.0297437,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.436599731445312,\n",
       "   'distnr': 0.06889399886131287,\n",
       "   'elong': 1.3024699687957764,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.609999895095825,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458262.7183912,\n",
       "   'magap': 17.672300338745117,\n",
       "   'magapbig': 17.674999237060547,\n",
       "   'magdiff': 0.013670999556779861,\n",
       "   'magfromlim': 2.7643399238586426,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.658599853515625,\n",
       "   'mindtoedge': 313.3840026855469,\n",
       "   'nbad': 0,\n",
       "   'nid': 508,\n",
       "   'nneg': 1,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0524/218356/ztf_20180524218356_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 508218391115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kasliwal',\n",
       "   'ra': 179.6402783,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.5433329939842224,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 34.7136,\n",
       "   'seeratio': 0.9483129978179932,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.032499998807907104,\n",
       "   'sigmagapbig': 0.04100000113248825,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.020302999764680862,\n",
       "   'sky': -0.19102199375629425,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1406.6400146484375,\n",
       "   'ypos': 313.3840026855469},\n",
       "  {'aimage': 1.3519999980926514,\n",
       "   'aimagerat': 0.3873929977416992,\n",
       "   'bimage': 1.128999948501587,\n",
       "   'bimagerat': 0.323496013879776,\n",
       "   'candid': 508251161115010034,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 58.64580154418945,\n",
       "   'classtar': 0.9829999804496765,\n",
       "   'dec': 52.0297009,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.11479949951172,\n",
       "   'distnr': 0.21868999302387238,\n",
       "   'elong': 1.1975200176239014,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 3.490000009536743,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458262.751169,\n",
       "   'magap': 17.460899353027344,\n",
       "   'magapbig': 17.409500122070312,\n",
       "   'magdiff': 0.05286699905991554,\n",
       "   'magfromlim': 2.653909921646118,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 17.408000946044922,\n",
       "   'mindtoedge': 307.6679992675781,\n",
       "   'nbad': 0,\n",
       "   'nid': 508,\n",
       "   'nneg': 0,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0524/251157/ztf_20180524251157_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 508251161115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kasliwal',\n",
       "   'ra': 179.6403169,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.5033329725265503,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 30.5594,\n",
       "   'seeratio': 1.0533900260925293,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.02449999935925007,\n",
       "   'sigmagapbig': 0.02930000051856041,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.01654900051653385,\n",
       "   'sky': -0.39444801211357117,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 34,\n",
       "   'xpos': 1412.1500244140625,\n",
       "   'ypos': 307.6679992675781},\n",
       "  {'aimage': 0.9359999895095825,\n",
       "   'aimagerat': 0.21081100404262543,\n",
       "   'bimage': 0.7450000047683716,\n",
       "   'bimagerat': 0.16779300570487976,\n",
       "   'candid': 508269661115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 24.51110076904297,\n",
       "   'classtar': 0.9829999804496765,\n",
       "   'dec': 52.0297223,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 19.93630027770996,\n",
       "   'distnr': 0.07738099992275238,\n",
       "   'elong': 1.2563799619674683,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 4.440000057220459,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458262.7696644,\n",
       "   'magap': 17.726699829101562,\n",
       "   'magapbig': 17.69230079650879,\n",
       "   'magdiff': 0.05387900024652481,\n",
       "   'magfromlim': 2.2096400260925293,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.672800064086914,\n",
       "   'mindtoedge': 302.59600830078125,\n",
       "   'nbad': 0,\n",
       "   'nid': 508,\n",
       "   'nneg': 3,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0524/269560/ztf_20180524269560_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 508269661115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402603,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.5566669702529907,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 19.9373,\n",
       "   'seeratio': 0.567704975605011,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.05260000005364418,\n",
       "   'sigmagapbig': 0.06440000236034393,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.03177500143647194,\n",
       "   'sky': 0.25883200764656067,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.9926419854164124,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1412.8900146484375,\n",
       "   'ypos': 302.59600830078125},\n",
       "  {'aimage': 1.062999963760376,\n",
       "   'aimagerat': 0.3652920126914978,\n",
       "   'bimage': 0.9330000281333923,\n",
       "   'bimagerat': 0.32061898708343506,\n",
       "   'candid': 509232771115010052,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 18.32550048828125,\n",
       "   'classtar': 0.9829999804496765,\n",
       "   'dec': 52.0296981,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 20.548900604248047,\n",
       "   'distnr': 0.13791300356388092,\n",
       "   'elong': 1.1393400430679321,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.9100000858306885,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458263.7327778,\n",
       "   'magap': 17.41900062561035,\n",
       "   'magapbig': 17.402700424194336,\n",
       "   'magdiff': 0.0037960000336170197,\n",
       "   'magfromlim': 3.12992000579834,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 17.415199279785156,\n",
       "   'mindtoedge': 306.96099853515625,\n",
       "   'nbad': 0,\n",
       "   'nid': 509,\n",
       "   'nneg': 1,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0525/232766/ztf_20180525232766_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 509232771115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kasliwal',\n",
       "   'ra': 179.6402535,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.5466669797897339,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 22.213,\n",
       "   'seeratio': 1.0951100587844849,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.018400000408291817,\n",
       "   'sigmagapbig': 0.022600000724196434,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.012136000208556652,\n",
       "   'sky': 0.08978699892759323,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 52,\n",
       "   'xpos': 1411.6700439453125,\n",
       "   'ypos': 306.96099853515625},\n",
       "  {'aimage': 1.0670000314712524,\n",
       "   'aimagerat': 0.29804500937461853,\n",
       "   'bimage': 0.8830000162124634,\n",
       "   'bimagerat': 0.24664799869060516,\n",
       "   'candid': 509256851115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 19.25429916381836,\n",
       "   'classtar': 0.9890000224113464,\n",
       "   'dec': 52.0297106,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 20.315799713134766,\n",
       "   'distnr': 0.11462099850177765,\n",
       "   'elong': 1.2083799839019775,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 3.5799999237060547,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458263.7568519,\n",
       "   'magap': 17.568300247192383,\n",
       "   'magapbig': 17.543899536132812,\n",
       "   'magdiff': 0.01647300086915493,\n",
       "   'magfromlim': 2.7474799156188965,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.551799774169922,\n",
       "   'mindtoedge': 299.75201416015625,\n",
       "   'nbad': 0,\n",
       "   'nid': 509,\n",
       "   'nneg': 0,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0525/256817/ztf_20180525256817_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 509256851115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kasliwal',\n",
       "   'ra': 179.6402545,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.5666670203208923,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 28.3217,\n",
       "   'seeratio': 0.8089510202407837,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.027799999341368675,\n",
       "   'sigmagapbig': 0.03440000116825104,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.017815999686717987,\n",
       "   'sky': -0.26940399408340454,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1414.219970703125,\n",
       "   'ypos': 299.75201416015625},\n",
       "  {'aimage': 0.7179999947547913,\n",
       "   'aimagerat': 0.2528170049190521,\n",
       "   'bimage': 0.6150000095367432,\n",
       "   'bimagerat': 0.21654899418354034,\n",
       "   'candid': 512248811115015001,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 17.625699996948242,\n",
       "   'classtar': 0.984000027179718,\n",
       "   'dec': 52.0297437,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 19.73940086364746,\n",
       "   'distnr': 0.04292500019073486,\n",
       "   'elong': 1.1674799919128418,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.8399999141693115,\n",
       "   'isdiffpos': 't',\n",
       "   'jd': 2458266.7488194,\n",
       "   'magap': 17.091999053955078,\n",
       "   'magapbig': 17.09280014038086,\n",
       "   'magdiff': -0.003949999809265137,\n",
       "   'magfromlim': 2.647429943084717,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 17.09589958190918,\n",
       "   'mindtoedge': 317.2179870605469,\n",
       "   'nbad': 0,\n",
       "   'nid': 512,\n",
       "   'nneg': 6,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0528/248808/ztf_20180528248808_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 512248811115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402202,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.6766669750213623,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 25.7579,\n",
       "   'seeratio': 0.8642950057983398,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.03689999878406525,\n",
       "   'sigmagapbig': 0.046300001442432404,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.02371699921786785,\n",
       "   'sky': 1.1601799726486206,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.9711790084838867,\n",
       "   'tblid': 1,\n",
       "   'xpos': 1410.2099609375,\n",
       "   'ypos': 317.2179870605469},\n",
       "  {'aimage': 0.796999990940094,\n",
       "   'aimagerat': 0.2579289972782135,\n",
       "   'bimage': 0.7269999980926514,\n",
       "   'bimagerat': 0.235275000333786,\n",
       "   'candid': 512255701115015001,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 12.485400199890137,\n",
       "   'classtar': 1.0,\n",
       "   'dec': 52.029717,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 19.624000549316406,\n",
       "   'distnr': 0.13156500458717346,\n",
       "   'elong': 1.0962899923324585,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 3.0899999141693115,\n",
       "   'isdiffpos': 't',\n",
       "   'jd': 2458266.755706,\n",
       "   'magap': 17.13610076904297,\n",
       "   'magapbig': 17.135700225830078,\n",
       "   'magdiff': 0.030750999227166176,\n",
       "   'magfromlim': 2.487910032272339,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 17.105300903320312,\n",
       "   'mindtoedge': 315.6449890136719,\n",
       "   'nbad': 0,\n",
       "   'nid': 512,\n",
       "   'nneg': 3,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0528/255694/ztf_20180528255694_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 512255701115,\n",
       "   'programid': 1,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402769,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.8100000023841858,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 25.473,\n",
       "   'seeratio': 0.8498830199241638,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.039799999445676804,\n",
       "   'sigmagapbig': 0.04989999905228615,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.024945000186562538,\n",
       "   'sky': 0.636277973651886,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 1,\n",
       "   'xpos': 1410.0,\n",
       "   'ypos': 315.6449890136719},\n",
       "  {'aimage': 0.7440000176429749,\n",
       "   'aimagerat': 0.26762598752975464,\n",
       "   'bimage': 0.6669999957084656,\n",
       "   'bimagerat': 0.2399280071258545,\n",
       "   'candid': 512256621115015001,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 24.975900650024414,\n",
       "   'classtar': 0.984000027179718,\n",
       "   'dec': 52.0297346,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 19.600099563598633,\n",
       "   'distnr': 0.008275000378489494,\n",
       "   'elong': 1.115440011024475,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.7799999713897705,\n",
       "   'isdiffpos': 't',\n",
       "   'jd': 2458266.7566204,\n",
       "   'magap': 17.116100311279297,\n",
       "   'magapbig': 17.147600173950195,\n",
       "   'magdiff': 0.037181999534368515,\n",
       "   'magfromlim': 2.4840099811553955,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 17.078899383544922,\n",
       "   'mindtoedge': 315.2699890136719,\n",
       "   'nbad': 0,\n",
       "   'nid': 512,\n",
       "   'nneg': 3,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0528/256620/ztf_20180528256620_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 512256621115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402373,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.8033329844474792,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 36.3719,\n",
       "   'seeratio': 0.9420549869537354,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.03999999910593033,\n",
       "   'sigmagapbig': 0.05169999971985817,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.0248819999396801,\n",
       "   'sky': 1.4623899459838867,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 1,\n",
       "   'xpos': 1410.5400390625,\n",
       "   'ypos': 315.2699890136719},\n",
       "  {'aimage': 0.7699999809265137,\n",
       "   'aimagerat': 0.24919100105762482,\n",
       "   'bimage': 0.7419999837875366,\n",
       "   'bimagerat': 0.2401289939880371,\n",
       "   'candid': 512279471115015000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 2.4527299404144287,\n",
       "   'classtar': 0.9829999804496765,\n",
       "   'dec': 52.0297181,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 19.5664005279541,\n",
       "   'distnr': 0.07932300120592117,\n",
       "   'elong': 1.0377399921417236,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 3.0899999141693115,\n",
       "   'isdiffpos': 't',\n",
       "   'jd': 2458266.7794792,\n",
       "   'magap': 17.417299270629883,\n",
       "   'magapbig': 17.426300048828125,\n",
       "   'magdiff': 0.01832599937915802,\n",
       "   'magfromlim': 2.149049997329712,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 17.39900016784668,\n",
       "   'mindtoedge': 302.97900390625,\n",
       "   'nbad': 0,\n",
       "   'nid': 512,\n",
       "   'nneg': 0,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0528/279444/ztf_20180528279444_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 512279471115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402575,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.8100000023841858,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 13.726,\n",
       "   'seeratio': 0.8498830199241638,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.053700000047683716,\n",
       "   'sigmagapbig': 0.0681999996304512,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.033858999609947205,\n",
       "   'sky': 1.0099200010299683,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 1.0,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1412.989990234375,\n",
       "   'ypos': 302.97900390625},\n",
       "  {'aimage': 0.8169999718666077,\n",
       "   'aimagerat': 0.3037169873714447,\n",
       "   'bimage': 0.656000018119812,\n",
       "   'bimagerat': 0.2438659965991974,\n",
       "   'candid': 513172541115010000,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 2.5202999114990234,\n",
       "   'classtar': 0.9829999804496765,\n",
       "   'dec': 52.0297413,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 19.556100845336914,\n",
       "   'distnr': 0.06151900067925453,\n",
       "   'elong': 1.2454299926757812,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.690000057220459,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458267.6725463,\n",
       "   'magap': 17.642799377441406,\n",
       "   'magapbig': 17.633399963378906,\n",
       "   'magdiff': 0.04783700034022331,\n",
       "   'magfromlim': 1.9132800102233887,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.594999313354492,\n",
       "   'mindtoedge': 334.9700012207031,\n",
       "   'nbad': 0,\n",
       "   'nid': 513,\n",
       "   'nneg': 4,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0529/172477/ztf_20180529172477_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 513172541115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402749,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.6299999952316284,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 12.0902,\n",
       "   'seeratio': 0.9771530032157898,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.06480000168085098,\n",
       "   'sigmagapbig': 0.08190000057220459,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.03787599876523018,\n",
       "   'sky': -1.119570016860962,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.992671012878418,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1404.7900390625,\n",
       "   'ypos': 334.9700012207031},\n",
       "  {'aimage': 0.6169999837875366,\n",
       "   'aimagerat': 0.2614409923553467,\n",
       "   'bimage': 0.6010000109672546,\n",
       "   'bimagerat': 0.2546609938144684,\n",
       "   'candid': 513193261115010001,\n",
       "   'chinr': 0.5960000157356262,\n",
       "   'chipsf': 23.66119956970215,\n",
       "   'classtar': 1.0,\n",
       "   'dec': 52.0297629,\n",
       "   'decnr': 52.0297425,\n",
       "   'diffmaglim': 19.725799560546875,\n",
       "   'distnr': 0.09906899929046631,\n",
       "   'elong': 1.0266200304031372,\n",
       "   'fid': 1,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.359999895095825,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458267.6932639,\n",
       "   'magap': 17.594100952148438,\n",
       "   'magapbig': 17.557100296020508,\n",
       "   'magdiff': -0.06375499814748764,\n",
       "   'magfromlim': 2.13169002532959,\n",
       "   'magnr': 16.457000732421875,\n",
       "   'magpsf': 17.657899856567383,\n",
       "   'mindtoedge': 330.5480041503906,\n",
       "   'nbad': 0,\n",
       "   'nid': 513,\n",
       "   'nneg': 5,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0529/193218/ztf_20180529193218_000789_zg_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 513193261115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.640216,\n",
       "   'ranr': 179.6402469,\n",
       "   'rb': 0.6666669845581055,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 30.2545,\n",
       "   'seeratio': 0.9736379981040955,\n",
       "   'sharpnr': -0.02800000086426735,\n",
       "   'sigmagap': 0.06069999933242798,\n",
       "   'sigmagapbig': 0.0746999979019165,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.038809001445770264,\n",
       "   'sky': -1.1023399829864502,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.9417440295219421,\n",
       "   'tblid': 1,\n",
       "   'xpos': 1405.4300537109375,\n",
       "   'ypos': 330.5480041503906},\n",
       "  {'aimage': 1.0240000486373901,\n",
       "   'aimagerat': 0.5378209948539734,\n",
       "   'bimage': 0.8019999861717224,\n",
       "   'bimagerat': 0.4212230145931244,\n",
       "   'candid': 513284031115010000,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 3.777829885482788,\n",
       "   'classtar': 0.9810000061988831,\n",
       "   'dec': 52.0297756,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 18.534000396728516,\n",
       "   'distnr': 0.8128269910812378,\n",
       "   'elong': 1.2768100500106812,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 1.903980016708374,\n",
       "   'isdiffpos': 'f',\n",
       "   'jd': 2458267.7840394,\n",
       "   'magap': 18.159700393676758,\n",
       "   'magapbig': 18.153499603271484,\n",
       "   'magdiff': -0.1136379987001419,\n",
       "   'magfromlim': 0.374330997467041,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 18.273300170898438,\n",
       "   'mindtoedge': 302.4639892578125,\n",
       "   'nbad': 0,\n",
       "   'nid': 513,\n",
       "   'nneg': 7,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0529/284039/ztf_20180529284039_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 513284031115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6398678,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.25666698813438416,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 5.93535,\n",
       "   'seeratio': 2.0,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.1818999946117401,\n",
       "   'sigmagapbig': 0.23160000145435333,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.13767699897289276,\n",
       "   'sky': -3.7613399028778076,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.8944709897041321,\n",
       "   'tblid': 0,\n",
       "   'xpos': 1416.1800537109375,\n",
       "   'ypos': 302.4639892578125},\n",
       "  {'aimage': 0.6850000023841858,\n",
       "   'aimagerat': 0.2329930067062378,\n",
       "   'bimage': 0.6190000176429749,\n",
       "   'bimagerat': 0.21054400503635406,\n",
       "   'candid': 513321511115015001,\n",
       "   'chinr': 0.6039999723434448,\n",
       "   'chipsf': 7.9003801345825195,\n",
       "   'classtar': 0.9890000224113464,\n",
       "   'dec': 52.0296848,\n",
       "   'decnr': 52.0297349,\n",
       "   'diffmaglim': 19.403900146484375,\n",
       "   'distnr': 0.1953520029783249,\n",
       "   'elong': 1.106619954109192,\n",
       "   'fid': 2,\n",
       "   'field': 789,\n",
       "   'fwhm': 2.940000057220459,\n",
       "   'isdiffpos': 't',\n",
       "   'jd': 2458267.8215162,\n",
       "   'magap': 17.733200073242188,\n",
       "   'magapbig': 17.61389923095703,\n",
       "   'magdiff': -0.173117995262146,\n",
       "   'magfromlim': 1.6706899404525757,\n",
       "   'magnr': 16.426000595092773,\n",
       "   'magpsf': 17.906299591064453,\n",
       "   'mindtoedge': 281.8819885253906,\n",
       "   'nbad': 0,\n",
       "   'nid': 513,\n",
       "   'nneg': 7,\n",
       "   'pdiffimfilename': '/ztf/archive/sci/2018/0529/321470/ztf_20180529321470_000789_zr_c03_o_q4_scimrefdiffimg.fits.fz',\n",
       "   'pid': 513321511115,\n",
       "   'programid': 2,\n",
       "   'programpi': 'Kulkarni',\n",
       "   'ra': 179.6402702,\n",
       "   'ranr': 179.6402336,\n",
       "   'rb': 0.4566670060157776,\n",
       "   'rbversion': 't7_f4_c3',\n",
       "   'rcid': 11,\n",
       "   'scorr': 17.8371,\n",
       "   'seeratio': 0.8100230097770691,\n",
       "   'sharpnr': -0.006000000052154064,\n",
       "   'sigmagap': 0.08969999849796295,\n",
       "   'sigmagapbig': 0.10220000147819519,\n",
       "   'sigmagnr': 0.014999999664723873,\n",
       "   'sigmapsf': 0.06510800123214722,\n",
       "   'sky': -12.194199562072754,\n",
       "   'ssdistnr': None,\n",
       "   'ssmagnr': None,\n",
       "   'ssnamenr': None,\n",
       "   'sumrat': 0.8771719932556152,\n",
       "   'tblid': 1,\n",
       "   'xpos': 1415.489990234375,\n",
       "   'ypos': 281.8819885253906}],\n",
       " 'publisher': 'ZTF (www.ztf.caltech.edu)',\n",
       " 'schemavsn': '2.0'}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "packet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "JD: 2458226.7635764 Filter: 2 Mag: 18.37+/-0.05\n"
     ]
    }
   ],
   "source": [
    "print('JD: {} Filter: {} Mag: {:.2f}+/-{:.2f}'.format(\n",
    "    packet['candidate']['jd'],packet['candidate']['fid'],\n",
    "    packet['candidate']['magpsf'],packet['candidate']['sigmapsf']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**NOTE ESPECIALLY**: the magnitudes here do not include the magnitude of the underlying reference source (if present), so if this is a variable star further adjustment is needed.  Example to come..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Record access like this is a little verbose; let's wrap things up in a dataframe for ease of access (and faster loading)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's extract the lightcurves.  The alert packet formats are nested, so the historical detections (if present) have the same structure as the candidate triggering the alert (minus a couple fields)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_dataframe(packet):\n",
    "    df = pd.DataFrame(packet['candidate'], index=[0])\n",
    "    df_prv = pd.DataFrame(packet['prv_candidates'])\n",
    "    return pd.concat([df,df_prv], ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>aimage</th>\n",
       "      <th>aimagerat</th>\n",
       "      <th>bimage</th>\n",
       "      <th>bimagerat</th>\n",
       "      <th>candid</th>\n",
       "      <th>chinr</th>\n",
       "      <th>chipsf</th>\n",
       "      <th>classtar</th>\n",
       "      <th>dec</th>\n",
       "      <th>decnr</th>\n",
       "      <th>...</th>\n",
       "      <th>ssmagnr</th>\n",
       "      <th>ssnamenr</th>\n",
       "      <th>sumrat</th>\n",
       "      <th>szmag1</th>\n",
       "      <th>szmag2</th>\n",
       "      <th>szmag3</th>\n",
       "      <th>tblid</th>\n",
       "      <th>tooflag</th>\n",
       "      <th>xpos</th>\n",
       "      <th>ypos</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.776</td>\n",
       "      <td>0.267586</td>\n",
       "      <td>0.674</td>\n",
       "      <td>0.232414</td>\n",
       "      <td>4.722636e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>11.739423</td>\n",
       "      <td>1.000</td>\n",
       "      <td>52.029712</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>-999</td>\n",
       "      <td>null</td>\n",
       "      <td>0.989690</td>\n",
       "      <td>16.628201</td>\n",
       "      <td>15.07</td>\n",
       "      <td>19.2358</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1399.030762</td>\n",
       "      <td>229.362106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.837</td>\n",
       "      <td>-999.000000</td>\n",
       "      <td>0.722</td>\n",
       "      <td>-999.000000</td>\n",
       "      <td>4.882095e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>21.931601</td>\n",
       "      <td>0.993</td>\n",
       "      <td>52.029721</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1395.609985</td>\n",
       "      <td>434.670990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.717</td>\n",
       "      <td>0.204274</td>\n",
       "      <td>0.598</td>\n",
       "      <td>0.170370</td>\n",
       "      <td>4.882862e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>21.731100</td>\n",
       "      <td>0.984</td>\n",
       "      <td>52.029725</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.998261</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1405.849976</td>\n",
       "      <td>427.200012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.697</td>\n",
       "      <td>0.187871</td>\n",
       "      <td>0.579</td>\n",
       "      <td>0.156065</td>\n",
       "      <td>4.882950e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>11.524700</td>\n",
       "      <td>0.983</td>\n",
       "      <td>52.029718</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.966876</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1408.040039</td>\n",
       "      <td>427.078003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.755</td>\n",
       "      <td>-999.000000</td>\n",
       "      <td>0.501</td>\n",
       "      <td>-999.000000</td>\n",
       "      <td>4.891664e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>11.486200</td>\n",
       "      <td>0.996</td>\n",
       "      <td>52.029740</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1386.979980</td>\n",
       "      <td>178.423004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.753</td>\n",
       "      <td>0.153049</td>\n",
       "      <td>0.573</td>\n",
       "      <td>0.116463</td>\n",
       "      <td>4.891817e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>18.668699</td>\n",
       "      <td>0.978</td>\n",
       "      <td>52.029749</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.998981</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1386.560059</td>\n",
       "      <td>182.781006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.746</td>\n",
       "      <td>0.181951</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.141707</td>\n",
       "      <td>4.891827e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>11.191500</td>\n",
       "      <td>1.000</td>\n",
       "      <td>52.029779</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.972503</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1387.819946</td>\n",
       "      <td>182.235992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1.025</td>\n",
       "      <td>0.357143</td>\n",
       "      <td>0.918</td>\n",
       "      <td>0.319861</td>\n",
       "      <td>4.892007e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>5.459310</td>\n",
       "      <td>0.997</td>\n",
       "      <td>52.029692</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1392.020020</td>\n",
       "      <td>181.460999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.970</td>\n",
       "      <td>0.192079</td>\n",
       "      <td>0.842</td>\n",
       "      <td>0.166733</td>\n",
       "      <td>4.892125e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>11.168200</td>\n",
       "      <td>0.987</td>\n",
       "      <td>52.029738</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1397.910034</td>\n",
       "      <td>184.459000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1.050</td>\n",
       "      <td>0.324074</td>\n",
       "      <td>0.911</td>\n",
       "      <td>0.281173</td>\n",
       "      <td>4.892152e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>13.855500</td>\n",
       "      <td>0.999</td>\n",
       "      <td>52.029723</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1396.290039</td>\n",
       "      <td>179.449005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.904</td>\n",
       "      <td>0.259026</td>\n",
       "      <td>0.811</td>\n",
       "      <td>0.232378</td>\n",
       "      <td>4.892498e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>11.835300</td>\n",
       "      <td>0.984</td>\n",
       "      <td>52.029741</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1397.949951</td>\n",
       "      <td>175.576996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.841</td>\n",
       "      <td>0.273941</td>\n",
       "      <td>0.707</td>\n",
       "      <td>0.230293</td>\n",
       "      <td>4.902001e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>7.697170</td>\n",
       "      <td>1.000</td>\n",
       "      <td>52.029763</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.987398</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1395.829956</td>\n",
       "      <td>170.352005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.720</td>\n",
       "      <td>0.224299</td>\n",
       "      <td>0.645</td>\n",
       "      <td>0.200935</td>\n",
       "      <td>4.902146e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>10.845300</td>\n",
       "      <td>0.984</td>\n",
       "      <td>52.029749</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.999195</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1401.739990</td>\n",
       "      <td>173.880997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.728</td>\n",
       "      <td>0.276806</td>\n",
       "      <td>0.673</td>\n",
       "      <td>0.255894</td>\n",
       "      <td>4.902155e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>11.224300</td>\n",
       "      <td>0.983</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1401.859985</td>\n",
       "      <td>173.710007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.748</td>\n",
       "      <td>0.333929</td>\n",
       "      <td>0.710</td>\n",
       "      <td>0.316964</td>\n",
       "      <td>4.902493e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>4.122920</td>\n",
       "      <td>0.983</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1400.930054</td>\n",
       "      <td>162.949005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.597</td>\n",
       "      <td>0.254043</td>\n",
       "      <td>0.373</td>\n",
       "      <td>0.158723</td>\n",
       "      <td>4.911805e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>8.860080</td>\n",
       "      <td>0.997</td>\n",
       "      <td>52.029721</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.786485</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1391.900024</td>\n",
       "      <td>189.141006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.703</td>\n",
       "      <td>0.536641</td>\n",
       "      <td>0.652</td>\n",
       "      <td>0.497710</td>\n",
       "      <td>4.911814e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>4.199790</td>\n",
       "      <td>0.998</td>\n",
       "      <td>52.029700</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.879801</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1391.430054</td>\n",
       "      <td>189.817993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.822</td>\n",
       "      <td>-999.000000</td>\n",
       "      <td>0.726</td>\n",
       "      <td>-999.000000</td>\n",
       "      <td>4.911828e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>4.348040</td>\n",
       "      <td>0.693</td>\n",
       "      <td>52.029751</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.947224</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1392.719971</td>\n",
       "      <td>187.378006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.911</td>\n",
       "      <td>-5.061110</td>\n",
       "      <td>0.666</td>\n",
       "      <td>-3.700000</td>\n",
       "      <td>4.922217e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>19.298700</td>\n",
       "      <td>0.991</td>\n",
       "      <td>52.029722</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.970611</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1401.670044</td>\n",
       "      <td>166.369995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>0.728</td>\n",
       "      <td>0.293548</td>\n",
       "      <td>0.692</td>\n",
       "      <td>0.279032</td>\n",
       "      <td>4.942261e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>8.040630</td>\n",
       "      <td>0.983</td>\n",
       "      <td>52.029737</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1398.140015</td>\n",
       "      <td>205.904999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>1.049</td>\n",
       "      <td>0.308529</td>\n",
       "      <td>0.861</td>\n",
       "      <td>0.253235</td>\n",
       "      <td>4.942460e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>10.262000</td>\n",
       "      <td>0.765</td>\n",
       "      <td>52.029704</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1405.540039</td>\n",
       "      <td>210.378998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>1.233</td>\n",
       "      <td>0.809886</td>\n",
       "      <td>1.084</td>\n",
       "      <td>0.712016</td>\n",
       "      <td>4.942598e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>11.041500</td>\n",
       "      <td>0.874</td>\n",
       "      <td>52.029651</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1405.900024</td>\n",
       "      <td>206.604004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>0.761</td>\n",
       "      <td>0.575358</td>\n",
       "      <td>0.723</td>\n",
       "      <td>0.546628</td>\n",
       "      <td>4.951765e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>1.712730</td>\n",
       "      <td>0.974</td>\n",
       "      <td>52.029748</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1394.790039</td>\n",
       "      <td>187.675995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>0.948</td>\n",
       "      <td>0.249474</td>\n",
       "      <td>0.801</td>\n",
       "      <td>0.210789</td>\n",
       "      <td>4.952002e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>4.805690</td>\n",
       "      <td>0.983</td>\n",
       "      <td>52.029723</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1397.900024</td>\n",
       "      <td>183.177994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>0.907</td>\n",
       "      <td>0.289776</td>\n",
       "      <td>0.756</td>\n",
       "      <td>0.241534</td>\n",
       "      <td>4.952011e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>7.715750</td>\n",
       "      <td>0.992</td>\n",
       "      <td>52.029718</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1398.349976</td>\n",
       "      <td>183.231003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>1.112</td>\n",
       "      <td>0.209416</td>\n",
       "      <td>0.905</td>\n",
       "      <td>0.170433</td>\n",
       "      <td>4.952263e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>4.371410</td>\n",
       "      <td>0.987</td>\n",
       "      <td>52.029694</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1399.239990</td>\n",
       "      <td>180.037994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>1.569</td>\n",
       "      <td>0.270052</td>\n",
       "      <td>1.353</td>\n",
       "      <td>0.232874</td>\n",
       "      <td>4.952391e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>14.828100</td>\n",
       "      <td>0.982</td>\n",
       "      <td>52.029559</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>46.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1406.640015</td>\n",
       "      <td>188.119995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>1.888</td>\n",
       "      <td>0.459367</td>\n",
       "      <td>1.435</td>\n",
       "      <td>0.349148</td>\n",
       "      <td>4.952409e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>3.684510</td>\n",
       "      <td>0.731</td>\n",
       "      <td>52.029465</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1406.719971</td>\n",
       "      <td>184.210999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>1.230</td>\n",
       "      <td>0.462406</td>\n",
       "      <td>1.042</td>\n",
       "      <td>0.391729</td>\n",
       "      <td>4.962394e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>4.113200</td>\n",
       "      <td>0.655</td>\n",
       "      <td>52.029384</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1401.910034</td>\n",
       "      <td>221.826004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>0.897</td>\n",
       "      <td>0.277709</td>\n",
       "      <td>0.777</td>\n",
       "      <td>0.240557</td>\n",
       "      <td>5.012019e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>3.494450</td>\n",
       "      <td>0.974</td>\n",
       "      <td>52.029718</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1400.609985</td>\n",
       "      <td>296.329010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>0.964</td>\n",
       "      <td>0.261957</td>\n",
       "      <td>0.919</td>\n",
       "      <td>0.249728</td>\n",
       "      <td>5.022495e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>18.823000</td>\n",
       "      <td>0.988</td>\n",
       "      <td>52.029725</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1407.609985</td>\n",
       "      <td>294.533997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>0.666</td>\n",
       "      <td>0.108469</td>\n",
       "      <td>0.606</td>\n",
       "      <td>0.098697</td>\n",
       "      <td>5.032211e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>42.655998</td>\n",
       "      <td>1.000</td>\n",
       "      <td>52.029736</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.981973</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1400.550049</td>\n",
       "      <td>305.489014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>0.629</td>\n",
       "      <td>0.256735</td>\n",
       "      <td>0.579</td>\n",
       "      <td>0.236327</td>\n",
       "      <td>5.041776e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>44.670898</td>\n",
       "      <td>1.000</td>\n",
       "      <td>52.029766</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.963185</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1400.430054</td>\n",
       "      <td>293.533997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>0.744</td>\n",
       "      <td>0.213181</td>\n",
       "      <td>0.740</td>\n",
       "      <td>0.212034</td>\n",
       "      <td>5.042020e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>10.481800</td>\n",
       "      <td>0.984</td>\n",
       "      <td>52.029767</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1398.589966</td>\n",
       "      <td>286.766998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>0.810</td>\n",
       "      <td>0.172708</td>\n",
       "      <td>0.630</td>\n",
       "      <td>0.134328</td>\n",
       "      <td>5.062018e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>8.186350</td>\n",
       "      <td>0.985</td>\n",
       "      <td>52.029635</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1403.229980</td>\n",
       "      <td>324.106995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>1.028</td>\n",
       "      <td>0.354483</td>\n",
       "      <td>0.770</td>\n",
       "      <td>0.265517</td>\n",
       "      <td>5.062027e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>15.649200</td>\n",
       "      <td>0.752</td>\n",
       "      <td>52.029720</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.957685</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1403.829956</td>\n",
       "      <td>323.554993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>0.844</td>\n",
       "      <td>0.323372</td>\n",
       "      <td>0.648</td>\n",
       "      <td>0.248276</td>\n",
       "      <td>5.082184e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>40.268700</td>\n",
       "      <td>0.985</td>\n",
       "      <td>52.029744</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1406.640015</td>\n",
       "      <td>313.384003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>1.352</td>\n",
       "      <td>0.387393</td>\n",
       "      <td>1.129</td>\n",
       "      <td>0.323496</td>\n",
       "      <td>5.082512e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>58.645802</td>\n",
       "      <td>0.983</td>\n",
       "      <td>52.029701</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1412.150024</td>\n",
       "      <td>307.667999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>0.936</td>\n",
       "      <td>0.210811</td>\n",
       "      <td>0.745</td>\n",
       "      <td>0.167793</td>\n",
       "      <td>5.082697e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>24.511101</td>\n",
       "      <td>0.983</td>\n",
       "      <td>52.029722</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.992642</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1412.890015</td>\n",
       "      <td>302.596008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>1.063</td>\n",
       "      <td>0.365292</td>\n",
       "      <td>0.933</td>\n",
       "      <td>0.320619</td>\n",
       "      <td>5.092328e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>18.325500</td>\n",
       "      <td>0.983</td>\n",
       "      <td>52.029698</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1411.670044</td>\n",
       "      <td>306.960999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>1.067</td>\n",
       "      <td>0.298045</td>\n",
       "      <td>0.883</td>\n",
       "      <td>0.246648</td>\n",
       "      <td>5.092569e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>19.254299</td>\n",
       "      <td>0.989</td>\n",
       "      <td>52.029711</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1414.219971</td>\n",
       "      <td>299.752014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>0.718</td>\n",
       "      <td>0.252817</td>\n",
       "      <td>0.615</td>\n",
       "      <td>0.216549</td>\n",
       "      <td>5.122488e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>17.625700</td>\n",
       "      <td>0.984</td>\n",
       "      <td>52.029744</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.971179</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1410.209961</td>\n",
       "      <td>317.217987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>0.797</td>\n",
       "      <td>0.257929</td>\n",
       "      <td>0.727</td>\n",
       "      <td>0.235275</td>\n",
       "      <td>5.122557e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>12.485400</td>\n",
       "      <td>1.000</td>\n",
       "      <td>52.029717</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1410.000000</td>\n",
       "      <td>315.644989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>0.744</td>\n",
       "      <td>0.267626</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.239928</td>\n",
       "      <td>5.122566e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>24.975901</td>\n",
       "      <td>0.984</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1410.540039</td>\n",
       "      <td>315.269989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>0.770</td>\n",
       "      <td>0.249191</td>\n",
       "      <td>0.742</td>\n",
       "      <td>0.240129</td>\n",
       "      <td>5.122795e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>2.452730</td>\n",
       "      <td>0.983</td>\n",
       "      <td>52.029718</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1412.989990</td>\n",
       "      <td>302.979004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>0.817</td>\n",
       "      <td>0.303717</td>\n",
       "      <td>0.656</td>\n",
       "      <td>0.243866</td>\n",
       "      <td>5.131725e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>2.520300</td>\n",
       "      <td>0.983</td>\n",
       "      <td>52.029741</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.992671</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1404.790039</td>\n",
       "      <td>334.970001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>0.617</td>\n",
       "      <td>0.261441</td>\n",
       "      <td>0.601</td>\n",
       "      <td>0.254661</td>\n",
       "      <td>5.131933e+17</td>\n",
       "      <td>0.596</td>\n",
       "      <td>23.661200</td>\n",
       "      <td>1.000</td>\n",
       "      <td>52.029763</td>\n",
       "      <td>52.029742</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.941744</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1405.430054</td>\n",
       "      <td>330.548004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>1.024</td>\n",
       "      <td>0.537821</td>\n",
       "      <td>0.802</td>\n",
       "      <td>0.421223</td>\n",
       "      <td>5.132840e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>3.777830</td>\n",
       "      <td>0.981</td>\n",
       "      <td>52.029776</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.894471</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1416.180054</td>\n",
       "      <td>302.463989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>0.685</td>\n",
       "      <td>0.232993</td>\n",
       "      <td>0.619</td>\n",
       "      <td>0.210544</td>\n",
       "      <td>5.133215e+17</td>\n",
       "      <td>0.604</td>\n",
       "      <td>7.900380</td>\n",
       "      <td>0.989</td>\n",
       "      <td>52.029685</td>\n",
       "      <td>52.029735</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.877172</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1415.489990</td>\n",
       "      <td>281.881989</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>74 rows × 83 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    aimage   aimagerat  bimage   bimagerat        candid  chinr     chipsf  \\\n",
       "0    0.776    0.267586   0.674    0.232414  4.722636e+17  0.604  11.739423   \n",
       "1      NaN         NaN     NaN         NaN           NaN    NaN        NaN   \n",
       "2      NaN         NaN     NaN         NaN           NaN    NaN        NaN   \n",
       "3      NaN         NaN     NaN         NaN           NaN    NaN        NaN   \n",
       "4      NaN         NaN     NaN         NaN           NaN    NaN        NaN   \n",
       "5      NaN         NaN     NaN         NaN           NaN    NaN        NaN   \n",
       "6      NaN         NaN     NaN         NaN           NaN    NaN        NaN   \n",
       "7      NaN         NaN     NaN         NaN           NaN    NaN        NaN   \n",
       "8      NaN         NaN     NaN         NaN           NaN    NaN        NaN   \n",
       "9      NaN         NaN     NaN         NaN           NaN    NaN        NaN   \n",
       "10     NaN         NaN     NaN         NaN           NaN    NaN        NaN   \n",
       "11     NaN         NaN     NaN         NaN           NaN    NaN        NaN   \n",
       "12   0.837 -999.000000   0.722 -999.000000  4.882095e+17  0.596  21.931601   \n",
       "13   0.717    0.204274   0.598    0.170370  4.882862e+17  0.604  21.731100   \n",
       "14   0.697    0.187871   0.579    0.156065  4.882950e+17  0.604  11.524700   \n",
       "15   0.755 -999.000000   0.501 -999.000000  4.891664e+17  0.604  11.486200   \n",
       "16   0.753    0.153049   0.573    0.116463  4.891817e+17  0.604  18.668699   \n",
       "17   0.746    0.181951   0.581    0.141707  4.891827e+17  0.604  11.191500   \n",
       "18   1.025    0.357143   0.918    0.319861  4.892007e+17  0.596   5.459310   \n",
       "19   0.970    0.192079   0.842    0.166733  4.892125e+17  0.596  11.168200   \n",
       "20   1.050    0.324074   0.911    0.281173  4.892152e+17  0.596  13.855500   \n",
       "21   0.904    0.259026   0.811    0.232378  4.892498e+17  0.596  11.835300   \n",
       "22   0.841    0.273941   0.707    0.230293  4.902001e+17  0.596   7.697170   \n",
       "23   0.720    0.224299   0.645    0.200935  4.902146e+17  0.596  10.845300   \n",
       "24   0.728    0.276806   0.673    0.255894  4.902155e+17  0.596  11.224300   \n",
       "25   0.748    0.333929   0.710    0.316964  4.902493e+17  0.596   4.122920   \n",
       "26   0.597    0.254043   0.373    0.158723  4.911805e+17  0.604   8.860080   \n",
       "27   0.703    0.536641   0.652    0.497710  4.911814e+17  0.604   4.199790   \n",
       "28   0.822 -999.000000   0.726 -999.000000  4.911828e+17  0.604   4.348040   \n",
       "29   0.911   -5.061110   0.666   -3.700000  4.922217e+17  0.604  19.298700   \n",
       "..     ...         ...     ...         ...           ...    ...        ...   \n",
       "44   0.728    0.293548   0.692    0.279032  4.942261e+17  0.596   8.040630   \n",
       "45   1.049    0.308529   0.861    0.253235  4.942460e+17  0.604  10.262000   \n",
       "46   1.233    0.809886   1.084    0.712016  4.942598e+17  0.604  11.041500   \n",
       "47   0.761    0.575358   0.723    0.546628  4.951765e+17  0.596   1.712730   \n",
       "48   0.948    0.249474   0.801    0.210789  4.952002e+17  0.596   4.805690   \n",
       "49   0.907    0.289776   0.756    0.241534  4.952011e+17  0.596   7.715750   \n",
       "50   1.112    0.209416   0.905    0.170433  4.952263e+17  0.596   4.371410   \n",
       "51   1.569    0.270052   1.353    0.232874  4.952391e+17  0.604  14.828100   \n",
       "52   1.888    0.459367   1.435    0.349148  4.952409e+17  0.604   3.684510   \n",
       "53   1.230    0.462406   1.042    0.391729  4.962394e+17  0.604   4.113200   \n",
       "54   0.897    0.277709   0.777    0.240557  5.012019e+17  0.596   3.494450   \n",
       "55   0.964    0.261957   0.919    0.249728  5.022495e+17  0.604  18.823000   \n",
       "56   0.666    0.108469   0.606    0.098697  5.032211e+17  0.604  42.655998   \n",
       "57   0.629    0.256735   0.579    0.236327  5.041776e+17  0.596  44.670898   \n",
       "58   0.744    0.213181   0.740    0.212034  5.042020e+17  0.604  10.481800   \n",
       "59   0.810    0.172708   0.630    0.134328  5.062018e+17  0.604   8.186350   \n",
       "60   1.028    0.354483   0.770    0.265517  5.062027e+17  0.604  15.649200   \n",
       "61   0.844    0.323372   0.648    0.248276  5.082184e+17  0.596  40.268700   \n",
       "62   1.352    0.387393   1.129    0.323496  5.082512e+17  0.604  58.645802   \n",
       "63   0.936    0.210811   0.745    0.167793  5.082697e+17  0.596  24.511101   \n",
       "64   1.063    0.365292   0.933    0.320619  5.092328e+17  0.604  18.325500   \n",
       "65   1.067    0.298045   0.883    0.246648  5.092569e+17  0.596  19.254299   \n",
       "66   0.718    0.252817   0.615    0.216549  5.122488e+17  0.604  17.625700   \n",
       "67   0.797    0.257929   0.727    0.235275  5.122557e+17  0.604  12.485400   \n",
       "68   0.744    0.267626   0.667    0.239928  5.122566e+17  0.604  24.975901   \n",
       "69   0.770    0.249191   0.742    0.240129  5.122795e+17  0.604   2.452730   \n",
       "70   0.817    0.303717   0.656    0.243866  5.131725e+17  0.596   2.520300   \n",
       "71   0.617    0.261441   0.601    0.254661  5.131933e+17  0.596  23.661200   \n",
       "72   1.024    0.537821   0.802    0.421223  5.132840e+17  0.604   3.777830   \n",
       "73   0.685    0.232993   0.619    0.210544  5.133215e+17  0.604   7.900380   \n",
       "\n",
       "    classtar        dec      decnr     ...      ssmagnr  ssnamenr    sumrat  \\\n",
       "0      1.000  52.029712  52.029735     ...         -999      null  0.989690   \n",
       "1        NaN        NaN        NaN     ...         None      None       NaN   \n",
       "2        NaN        NaN        NaN     ...         None      None       NaN   \n",
       "3        NaN        NaN        NaN     ...         None      None       NaN   \n",
       "4        NaN        NaN        NaN     ...         None      None       NaN   \n",
       "5        NaN        NaN        NaN     ...         None      None       NaN   \n",
       "6        NaN        NaN        NaN     ...         None      None       NaN   \n",
       "7        NaN        NaN        NaN     ...         None      None       NaN   \n",
       "8        NaN        NaN        NaN     ...         None      None       NaN   \n",
       "9        NaN        NaN        NaN     ...         None      None       NaN   \n",
       "10       NaN        NaN        NaN     ...         None      None       NaN   \n",
       "11       NaN        NaN        NaN     ...         None      None       NaN   \n",
       "12     0.993  52.029721  52.029742     ...         None      None  1.000000   \n",
       "13     0.984  52.029725  52.029735     ...         None      None  0.998261   \n",
       "14     0.983  52.029718  52.029735     ...         None      None  0.966876   \n",
       "15     0.996  52.029740  52.029735     ...         None      None  1.000000   \n",
       "16     0.978  52.029749  52.029735     ...         None      None  0.998981   \n",
       "17     1.000  52.029779  52.029735     ...         None      None  0.972503   \n",
       "18     0.997  52.029692  52.029742     ...         None      None  1.000000   \n",
       "19     0.987  52.029738  52.029742     ...         None      None  1.000000   \n",
       "20     0.999  52.029723  52.029742     ...         None      None  1.000000   \n",
       "21     0.984  52.029741  52.029742     ...         None      None  1.000000   \n",
       "22     1.000  52.029763  52.029742     ...         None      None  0.987398   \n",
       "23     0.984  52.029749  52.029742     ...         None      None  0.999195   \n",
       "24     0.983  52.029742  52.029742     ...         None      None  1.000000   \n",
       "25     0.983  52.029742  52.029742     ...         None      None  1.000000   \n",
       "26     0.997  52.029721  52.029735     ...         None      None  0.786485   \n",
       "27     0.998  52.029700  52.029735     ...         None      None  0.879801   \n",
       "28     0.693  52.029751  52.029735     ...         None      None  0.947224   \n",
       "29     0.991  52.029722  52.029735     ...         None      None  0.970611   \n",
       "..       ...        ...        ...     ...          ...       ...       ...   \n",
       "44     0.983  52.029737  52.029742     ...         None      None  1.000000   \n",
       "45     0.765  52.029704  52.029735     ...         None      None  1.000000   \n",
       "46     0.874  52.029651  52.029735     ...         None      None  1.000000   \n",
       "47     0.974  52.029748  52.029742     ...         None      None  1.000000   \n",
       "48     0.983  52.029723  52.029742     ...         None      None  1.000000   \n",
       "49     0.992  52.029718  52.029742     ...         None      None  1.000000   \n",
       "50     0.987  52.029694  52.029742     ...         None      None  1.000000   \n",
       "51     0.982  52.029559  52.029735     ...         None      None  1.000000   \n",
       "52     0.731  52.029465  52.029735     ...         None      None  1.000000   \n",
       "53     0.655  52.029384  52.029735     ...         None      None  1.000000   \n",
       "54     0.974  52.029718  52.029742     ...         None      None  1.000000   \n",
       "55     0.988  52.029725  52.029735     ...         None      None  1.000000   \n",
       "56     1.000  52.029736  52.029735     ...         None      None  0.981973   \n",
       "57     1.000  52.029766  52.029742     ...         None      None  0.963185   \n",
       "58     0.984  52.029767  52.029735     ...         None      None  1.000000   \n",
       "59     0.985  52.029635  52.029735     ...         None      None  1.000000   \n",
       "60     0.752  52.029720  52.029735     ...         None      None  0.957685   \n",
       "61     0.985  52.029744  52.029742     ...         None      None  1.000000   \n",
       "62     0.983  52.029701  52.029735     ...         None      None  1.000000   \n",
       "63     0.983  52.029722  52.029742     ...         None      None  0.992642   \n",
       "64     0.983  52.029698  52.029735     ...         None      None  1.000000   \n",
       "65     0.989  52.029711  52.029742     ...         None      None  1.000000   \n",
       "66     0.984  52.029744  52.029735     ...         None      None  0.971179   \n",
       "67     1.000  52.029717  52.029735     ...         None      None  1.000000   \n",
       "68     0.984  52.029735  52.029735     ...         None      None  1.000000   \n",
       "69     0.983  52.029718  52.029735     ...         None      None  1.000000   \n",
       "70     0.983  52.029741  52.029742     ...         None      None  0.992671   \n",
       "71     1.000  52.029763  52.029742     ...         None      None  0.941744   \n",
       "72     0.981  52.029776  52.029735     ...         None      None  0.894471   \n",
       "73     0.989  52.029685  52.029735     ...         None      None  0.877172   \n",
       "\n",
       "       szmag1  szmag2   szmag3  tblid  tooflag         xpos        ypos  \n",
       "0   16.628201   15.07  19.2358    0.0      0.0  1399.030762  229.362106  \n",
       "1         NaN     NaN      NaN    NaN      NaN          NaN         NaN  \n",
       "2         NaN     NaN      NaN    NaN      NaN          NaN         NaN  \n",
       "3         NaN     NaN      NaN    NaN      NaN          NaN         NaN  \n",
       "4         NaN     NaN      NaN    NaN      NaN          NaN         NaN  \n",
       "5         NaN     NaN      NaN    NaN      NaN          NaN         NaN  \n",
       "6         NaN     NaN      NaN    NaN      NaN          NaN         NaN  \n",
       "7         NaN     NaN      NaN    NaN      NaN          NaN         NaN  \n",
       "8         NaN     NaN      NaN    NaN      NaN          NaN         NaN  \n",
       "9         NaN     NaN      NaN    NaN      NaN          NaN         NaN  \n",
       "10        NaN     NaN      NaN    NaN      NaN          NaN         NaN  \n",
       "11        NaN     NaN      NaN    NaN      NaN          NaN         NaN  \n",
       "12        NaN     NaN      NaN    0.0      NaN  1395.609985  434.670990  \n",
       "13        NaN     NaN      NaN    1.0      NaN  1405.849976  427.200012  \n",
       "14        NaN     NaN      NaN    0.0      NaN  1408.040039  427.078003  \n",
       "15        NaN     NaN      NaN    0.0      NaN  1386.979980  178.423004  \n",
       "16        NaN     NaN      NaN    0.0      NaN  1386.560059  182.781006  \n",
       "17        NaN     NaN      NaN    0.0      NaN  1387.819946  182.235992  \n",
       "18        NaN     NaN      NaN    0.0      NaN  1392.020020  181.460999  \n",
       "19        NaN     NaN      NaN    0.0      NaN  1397.910034  184.459000  \n",
       "20        NaN     NaN      NaN    0.0      NaN  1396.290039  179.449005  \n",
       "21        NaN     NaN      NaN    0.0      NaN  1397.949951  175.576996  \n",
       "22        NaN     NaN      NaN    0.0      NaN  1395.829956  170.352005  \n",
       "23        NaN     NaN      NaN    0.0      NaN  1401.739990  173.880997  \n",
       "24        NaN     NaN      NaN    0.0      NaN  1401.859985  173.710007  \n",
       "25        NaN     NaN      NaN    0.0      NaN  1400.930054  162.949005  \n",
       "26        NaN     NaN      NaN    1.0      NaN  1391.900024  189.141006  \n",
       "27        NaN     NaN      NaN    0.0      NaN  1391.430054  189.817993  \n",
       "28        NaN     NaN      NaN    0.0      NaN  1392.719971  187.378006  \n",
       "29        NaN     NaN      NaN    0.0      NaN  1401.670044  166.369995  \n",
       "..        ...     ...      ...    ...      ...          ...         ...  \n",
       "44        NaN     NaN      NaN    0.0      NaN  1398.140015  205.904999  \n",
       "45        NaN     NaN      NaN    0.0      NaN  1405.540039  210.378998  \n",
       "46        NaN     NaN      NaN    0.0      NaN  1405.900024  206.604004  \n",
       "47        NaN     NaN      NaN    0.0      NaN  1394.790039  187.675995  \n",
       "48        NaN     NaN      NaN    0.0      NaN  1397.900024  183.177994  \n",
       "49        NaN     NaN      NaN    0.0      NaN  1398.349976  183.231003  \n",
       "50        NaN     NaN      NaN    0.0      NaN  1399.239990  180.037994  \n",
       "51        NaN     NaN      NaN   46.0      NaN  1406.640015  188.119995  \n",
       "52        NaN     NaN      NaN    0.0      NaN  1406.719971  184.210999  \n",
       "53        NaN     NaN      NaN   43.0      NaN  1401.910034  221.826004  \n",
       "54        NaN     NaN      NaN    0.0      NaN  1400.609985  296.329010  \n",
       "55        NaN     NaN      NaN    1.0      NaN  1407.609985  294.533997  \n",
       "56        NaN     NaN      NaN    0.0      NaN  1400.550049  305.489014  \n",
       "57        NaN     NaN      NaN    0.0      NaN  1400.430054  293.533997  \n",
       "58        NaN     NaN      NaN    0.0      NaN  1398.589966  286.766998  \n",
       "59        NaN     NaN      NaN    0.0      NaN  1403.229980  324.106995  \n",
       "60        NaN     NaN      NaN    0.0      NaN  1403.829956  323.554993  \n",
       "61        NaN     NaN      NaN    0.0      NaN  1406.640015  313.384003  \n",
       "62        NaN     NaN      NaN   34.0      NaN  1412.150024  307.667999  \n",
       "63        NaN     NaN      NaN    0.0      NaN  1412.890015  302.596008  \n",
       "64        NaN     NaN      NaN   52.0      NaN  1411.670044  306.960999  \n",
       "65        NaN     NaN      NaN    0.0      NaN  1414.219971  299.752014  \n",
       "66        NaN     NaN      NaN    1.0      NaN  1410.209961  317.217987  \n",
       "67        NaN     NaN      NaN    1.0      NaN  1410.000000  315.644989  \n",
       "68        NaN     NaN      NaN    1.0      NaN  1410.540039  315.269989  \n",
       "69        NaN     NaN      NaN    0.0      NaN  1412.989990  302.979004  \n",
       "70        NaN     NaN      NaN    0.0      NaN  1404.790039  334.970001  \n",
       "71        NaN     NaN      NaN    1.0      NaN  1405.430054  330.548004  \n",
       "72        NaN     NaN      NaN    0.0      NaN  1416.180054  302.463989  \n",
       "73        NaN     NaN      NaN    1.0      NaN  1415.489990  281.881989  \n",
       "\n",
       "[74 rows x 83 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dflc = make_dataframe(packet)\n",
    "dflc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['aimage', 'aimagerat', 'bimage', 'bimagerat', 'candid', 'chinr',\n",
       "       'chipsf', 'classtar', 'dec', 'decnr', 'diffmaglim', 'distnr',\n",
       "       'distpsnr1', 'distpsnr2', 'distpsnr3', 'elong', 'fid', 'field', 'fwhm',\n",
       "       'isdiffpos', 'jd', 'jdendhist', 'jdendref', 'jdstarthist', 'jdstartref',\n",
       "       'magap', 'magapbig', 'magdiff', 'magfromlim', 'magnr', 'magpsf',\n",
       "       'mindtoedge', 'nbad', 'ncovhist', 'ndethist', 'nframesref', 'nid',\n",
       "       'nmtchps', 'nneg', 'objectidps1', 'objectidps2', 'objectidps3',\n",
       "       'pdiffimfilename', 'pid', 'programid', 'programpi', 'ra', 'ranr', 'rb',\n",
       "       'rbversion', 'rcid', 'rfid', 'scorr', 'seeratio', 'sgmag1', 'sgmag2',\n",
       "       'sgmag3', 'sgscore1', 'sgscore2', 'sgscore3', 'sharpnr', 'sigmagap',\n",
       "       'sigmagapbig', 'sigmagnr', 'sigmapsf', 'simag1', 'simag2', 'simag3',\n",
       "       'sky', 'srmag1', 'srmag2', 'srmag3', 'ssdistnr', 'ssmagnr', 'ssnamenr',\n",
       "       'sumrat', 'szmag1', 'szmag2', 'szmag3', 'tblid', 'tooflag', 'xpos',\n",
       "       'ypos'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dflc.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that some of the historical detections are upper limits, signified by the NaNs.  Note that the most recent candidate has a few fields that are not present for the `prv_candidates`.\n",
    "\n",
    "Let's plot it!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_lightcurve(dflc, days_ago=True):\n",
    "    \n",
    "    filter_color = {1:'green', 2:'red', 3:'pink'}\n",
    "    if days_ago:\n",
    "        now = Time.now().jd\n",
    "        t = dflc.jd - now\n",
    "        xlabel = 'Days Ago'\n",
    "    else:\n",
    "        t = dflc.jd\n",
    "        xlabel = 'Time (JD)'\n",
    "    \n",
    "    plt.figure()\n",
    "    for fid, color in filter_color.items():\n",
    "        # plot detections in this filter:\n",
    "        w = (dflc.fid == fid) & ~dflc.magpsf.isnull()\n",
    "        if np.sum(w):\n",
    "            plt.errorbar(t[w],dflc.loc[w,'magpsf'], dflc.loc[w,'sigmapsf'],fmt='.',color=color)\n",
    "        wnodet = (dflc.fid == fid) & dflc.magpsf.isnull()\n",
    "        if np.sum(wnodet):\n",
    "            plt.scatter(t[wnodet],dflc.loc[wnodet,'diffmaglim'], marker='v',color=color,alpha=0.25)\n",
    "    \n",
    "    plt.gca().invert_yaxis()\n",
    "    plt.xlabel(xlabel)\n",
    "    plt.ylabel('Magnitude')\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1816b86470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_lightcurve(dflc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's figure out how to display the cutout images.  These are gzip-compressed fits files stored as bytes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'fileName': 'candid472263571115095000_pid472263571115_targ_sci.fits.gz',\n",
       " 'stampData': 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      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "packet['cutoutScience']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "stamp = packet['cutoutScience']['stampData']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bytes"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(stamp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_cutout(stamp, fig=None, subplot=None, **kwargs):\n",
    "    with gzip.open(io.BytesIO(stamp), 'rb') as f:\n",
    "        with fits.open(io.BytesIO(f.read())) as hdul:\n",
    "            if fig is None:\n",
    "                fig = plt.figure(figsize=(4,4))\n",
    "            if subplot is None:\n",
    "                subplot = (1,1,1)\n",
    "            ffig = aplpy.FITSFigure(hdul[0],figure=fig, subplot=subplot, **kwargs)\n",
    "            ffig.show_grayscale(stretch='arcsinh')\n",
    "    return ffig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: No WCS information found in header - using pixel coordinates [aplpy.header]\n",
      "WARNING:astropy:No WCS information found in header - using pixel coordinates\n",
      "INFO:astropy:Auto-setting vmin to  1.815e+02\n",
      "INFO:astropy:Auto-setting vmax to  1.170e+03\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Auto-setting vmin to  1.815e+02 [aplpy.core]\n",
      "INFO: Auto-setting vmax to  1.170e+03 [aplpy.core]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<aplpy.core.FITSFigure at 0x1818044f28>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x181798dda0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_cutout(stamp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's make a nice helper function:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "def show_stamps(packet):\n",
    "    #fig, axes = plt.subplots(1,3, figsize=(12,4))\n",
    "    fig = plt.figure(figsize=(12,4))\n",
    "    for i, cutout in enumerate(['Science','Template','Difference']):\n",
    "        stamp = packet['cutout{}'.format(cutout)]['stampData']\n",
    "        ffig = plot_cutout(stamp, fig=fig, subplot = (1,3,i+1))\n",
    "        ffig.set_title(cutout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: No WCS information found in header - using pixel coordinates [aplpy.header]\n",
      "WARNING:astropy:No WCS information found in header - using pixel coordinates\n",
      "INFO:astropy:Auto-setting vmin to  1.815e+02\n",
      "INFO:astropy:Auto-setting vmax to  1.170e+03\n",
      "WARNING: No WCS information found in header - using pixel coordinates [aplpy.header]\n",
      "WARNING:astropy:No WCS information found in header - using pixel coordinates\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Auto-setting vmin to  1.815e+02 [aplpy.core]\n",
      "INFO: Auto-setting vmax to  1.170e+03 [aplpy.core]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:astropy:Auto-setting vmin to  1.945e+02\n",
      "INFO:astropy:Auto-setting vmax to  1.053e+03\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Auto-setting vmin to  1.945e+02 [aplpy.core]\n",
      "INFO: Auto-setting vmax to  1.053e+03 [aplpy.core]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: No WCS information found in header - using pixel coordinates [aplpy.header]\n",
      "WARNING:astropy:No WCS information found in header - using pixel coordinates\n",
      "INFO:astropy:Auto-setting vmin to -2.271e+01\n",
      "INFO:astropy:Auto-setting vmax to  9.046e+01\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Auto-setting vmin to -2.271e+01 [aplpy.core]\n",
      "INFO: Auto-setting vmax to  9.046e+01 [aplpy.core]\n"
     ]
    },
    {
     "data": {
      "image/png": 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2mkjMDgbZ6zS/RLPSb5h06Iaf7PsoPUfLki4ixUT6hvQLDy5I3YMFpErWrFnTpnmg73nPe16bJo3hDr5JXUqQz7COjqYkrcN0LIPUlztY5ShWUjmsE9NSV1JBWooHFinBYHlOghGpdNJPbBPbyzTpOF5nu6MkgO3gfcyL4+noXVJ2cfw45w444IA2zTk2xhvjhSVEx16bNpFuc4fzor26Q7fsJ3eomNejpMgd+KXts76kEDl2TmISnydYhjvI6NpHSld6pP1Oeobg2sh69B30HHK4k+B1J0uJz7oDhO4eJ4/pO5jtJCPuMCDHw1He8TCp698JcsOptddm3nK94QFrzv94kJ2/49rF626tXbFiRZvmmihJV111VZvmgT6ur7SNdevWtenGEYHUnYOUXURwvaAdU75y0003tWnuXaeffnqb5h4V72Pfcd5yL+H1DRs2tGmODQ/tSf7wvZNn8H7mxYOB3Nulrv06CRTthDJFyjkooYhrG/dtrtF8B3ByR7fXxDXarWcTDoUPstdFlXOUUp5eSvlUKWVjKWVDKeWUUsozSylfKqVsHv//jLlzSiQSi42010RitpA2m0gsLRZbE/0hSV+otR4tabWkDZLOk3RxrfUISRePf04kEkuPtNdEYraQNptILCEWLdhKKeWpkq6XdFhFIaWUTZLOrLXuKKXsJ+nSWutRc+RVG0qEVBopIud7WOpKGUjZkBYiDUeKgPRCBOkq0gLOgwivk2YhVXXHHXd0ynASkCEn+Vk2aZNIR7LtpF140pbzZIiHiuhlxJ2y53iw35084jnPeU6bjrSZ80hA2Q19ePJ5zh93Kj/myzqSHmM/sG/Zb5S0RHqUtBtPnJMq3bp164IGb1hoe21kL867jPP+IHmpB8fXyYtCPWwdWS+OEZ+hncRT5A3i/HDSAObl6E9Hw8b1zHnYoL279vG6s8lYR7fuOA8Zrq59XljYj45uZRnOv3afZMTlxToOkbH0+QZ39v6DH/xgwYOtLJTNllLq+973PkndMeFa2+d9xXlLYL/QC4bzFhNpd8pJKKPjuNDDBddR1pdyiujjmh4ZWBfn95z9w/qxr6LnDD5PjyeUOzDNfYlrAusX91f3O74/sO2UqNB++jxT0d+y88p18MEHaxKYL+sX/V2zHzkfuLbRrpzfbXoGidJS7r2U6HIMfuZnfmawvS7ml+jDJH1T0l+UUq4rpfx5KeVJkvatte6QpPH/z+3LJJFI7BakvSYSs4W02URiibGYBwv3lrRW0m/XWq8opXxI/bTSGzVdBy8SiWnH1eb6R9Q9WTwEaa+JxOJiIe1Vmp/Npr0mEvPDIHtdzJfo7ZK211qb+MSf0sjA7yml7AeqqeFE+haSxdGcJBKzjRMXMK+010RicbGQ9irNz2bTXhOJ+WGQvS7aS3St9e5SyrZSylG11k2SXiLp5vG/cyW9d/z/Z4fk1+h2qPGhZofaqAhqlKjzpc6Nmi3qbKinpgZK6mpzqMGi257bbrutTVPLRe0PNbvUb0le28s6Ui/kdNB07UOdrdTVD/H57du3t2lqnagFZh/Q/Q+1x1JXM0x9G13qUBu+devWNs22UjPO+6Wu1snpnamb4lzg/OnTerpn2D8cc+qs2AcueqXU1WnRrZ1zA7YQWGh7bfrN6Y3Zx9EtXN/vYv7xHqdplbyumfVyLtVcRNM+DIkg6PqHekDavdRdk9xZBebl9J19+kfC6YfZJuoqXQS0WIZzOef01a4Mp6eO9eUzzs2gm1cuT8mfh3HRKBcKC2mzzZrOPuK6S1dr8QwH91euybyPOljuH33Reqnh5Z7B+e/ODHE/ZzrqYzmn6I6W0fk4V1hHjvvll1/epl/2spd1ytiyZcvE+845Z6ebbs4V1onlsR3R9SrXEc7Ba6+9tk0feeSRbZp7F8/asN3RrTAjDXN/ps24qI+cI+y3fffdt1MGn2cdjzpqp6SfZXN/5NjyPSquOyyDc4wudueDxfYT/duSPl5KeYKkLZJ+RSMd9idLKa+XdKekVy9yHRKJxDCkvSYSs4W02URiCbGoL9G11nWa/En8JYtZbiKRmD/SXhOJ2ULabCKxtJjmiIUdNJ/kXfQ5fqKPkaJI/5BKIK3kog+Swoiua1zUwGuuuaZNL1u2rE2T3qKEgpRGpBBJN5DCYRtJ/zvpAuUjpIWkbrv4vHO7s//++7dpyjFIuZAiinVxUZvo/odUIqUhjHZEWkfqUoOHHnpom+bY0j0V5TkcJ8oxYpRKSkZcXpwzpKTYpj6XWewf9jspzWlHQ/G5CIJ90hTnAsvR+S6yJq9LXcqU5bP/ed1FFOM9UXrg5BUuuqqTLnBt47yRumsEy3AyD9ad9aC9RBmEi37IPnFRYvmsiwApeemNk5a4fuMciZIdls+0c7PpJHq8J46Z66uhsp9pQDMXOL6Un5HqZuQ8qTtXOac4726//fY2zfWc+wT34wjex7nm1hS6ruNeGd3ocX+l/dCdG/PiGsw1nzIIyjfifS6yIeed2z/4XsL9SurKNSktpESFoJzwhS98YZvmWnjFFVd0nmGZlIawfzlOdF/Hdxzu25wXMV+OM6UhhHMny7GM7ztOjurkW3Nhml+izxn/SyQSk8GDQgzjuxRIe00k+pH2mkjMDgbZ6zS/RLPSb1jKiiQSU4ppclmV9ppI9CPtNZGYHQyy12l+ie6g+QRPuoEnV0kBRjqQ1B3TpBJI0xx22GFt2kU1lHw0LtIppDQcZUmqIpbhoi0+7WlP0yTwHtJpd911V5umtEPqyjZIuZL6osSB9SUtRPqPtF4E5RU8zc3xJIVNGstF1Irlk0Jjn3I8OU6kK3mdshupS/mw35gvKTjeE09UN4hjSckIaTBHG08jGiqc48W+c1EJpW4/DYmmxTJ4f5TJOG8QvO68cwyJ2id5mYiLtuekIU4qEevF9rJPh/S1izwa4aKgOi828VS/g/OwQXAdcfIP9meUUDjPG84jC+EkR31RTJ2sZdrRRKBzXq5cP0rSMccc06a5dnHvY4Q7rombNm1q07G/KGtwsjDOR+5dbr+LtsQ9kmstx5jXKVdgWzlPo5eH448/fmI7OG8p7WDd2dbVq1e36b6okdz76AHE7Sssj/1z7LHHdsrgfS6CJfdqek7hWsP9lXWSut63+E5GT2Hsa75/sD85Lzj3pO77B3+3q/KrxYxYmEgkEolEIpFI7JHIl+hEIpFIJBKJRGKemBk5R/M5n5/f6TmBUoB4Kp+f7/mZn3TRzTff3KZJN/BkJ0/pSl3axgUh4HXWw9FI8XQ5fyaNQXkFKQ2CDsdZD1IuUlcyQmkBKRiezCVdxJOupOlIy8TfuVOwHBt36poUET2DxPs4VhxDzh/n2YD9HD1i8BnSR6TT3IlfniTmXIi0sRvz9evXa1bQ0ILOU4MLvBJ/xznB65QMkFqkrCZSnpxTHDtHTbpxcF4bpO5Ysr1OqsH+cV4Eor2wTNbFrTtsB8vrkzTwdyzfSdLYbhf8JI4z82XdncRlSL6xDDe2nD9OdjFUpuGC+MySnKNZSznPuX9wbtKLktTtG0on2MeUbVD+0SdRoJcrrtssg31MKcrHP/7xNv32t799Yl2lrp1xfWaQEj7DOq5du7ZN0yMHZYVS16MU9yXKT/gOwL2Bezv3IkplpO7+Re9Z3M+5JnAPZx+wfnGcaUvch1kX2i7T3BMp1Yzvamwj3xm4h1NiybYS9LoS10+u/ey3K6+8cmJec2GaX6Lz9HAi0Y887Z9IzA7SXhOJ2UF650gk9nDkaf9EYnaQ9ppIzA4G2Wtxzv6nCaWUevjhh0vqUhKkEfi5P1J6pE0oAVm3bl2bprN05kVaoKlDA9IdpJh44pT0MuvuAh1Ep+KUlrgT/qQ9nMSE5cVAKLyPafYbqbIVK1ZMLI+Smngilm0kFcTnGbyG9B8dsJOGitQc6UP2O6ky9pvzlsG+Is0sdfua4+wc53POuLbG09ykFUl9cdzuuece1Vq7HTAlKKXUGNRA6tJ77Nc4jk6uwPF1khnafpTiOC8MTrrg6H9S21GK42QbLNsFk3HeI6JcgOUzXxeEgrbngoxEytNJq9zYMF/X1tgOUrm8j/YXPaw0cLKbuJ+5QCC8j21lXqyTkyJJvq+Jhx56aKrt9WMf+5ik7nzmmuYCD0leDvDFL36xTZ966qltmnbJPbTP4wT7nPsM3wG4VvI6PUBRtil1pSXOs44LkkZQFhBld9x/KH/k/GJfc8+gNIQSEwaskboBcNgOvsvwOuWg3F95//XXX98pg/IV2jj7mvITvjtxbNi3cd1hO+iRwwW/YXmsu/NSFstneQwCc9555w221zxYmEgkEolEIpFIzBP5Ep1IJBKJRCKRSMwT06yJ7qChfUjPkaYhDUc6XOpS5xs2bGjTPNnJE7H83M/ySPvFckgx8T6W7epISoP3S11Ki9QO6WxKQJzDcNJQ9EoS606H6gTz5Ulk58ki0vmsO6kZSjvo0YN1JC1ESioGdWD5pJvYdlKG7GtHEZKmk7p97WgpUlfOAwj7I4456Se2nTRWlIDMApyMIVL2QwJ3OClBnxTHBW5h+S6gB+sU5WIOLsiTC4QS6+vA+jr5gZPOuGAyEewrUunOqwr7h/R3H3XLZ4bIWpyEg4hzyXnucDIRwnkDiXBSj10N3rAU2LZtmyQ/DtyvKE+QuhKF6667rk1TUuekgZdddlmb/rmf+7lOvpSvcT5zfeWaSmqe1D73Bco2pa73Cnqt4vPco/ieQGkf1+wYpIR9R4kEn9+4cWObdnZ89NFHT3w21t29f3AfpKyV3kPYt/ScEst0wddoJ+xbls316JBDDumUwTnDNnFddzIf9hWvR1kf7ZXlMcjefJBfohOJRCKRSCQSiXlimr9EpwueRKIf6TIrkZgdpL0mErODQfY6M945GiqDn99J6ZFOiW0ilUS6ipQ66QJS+6TQI7XMMh11xbpQJkBaiIFMIk1JKoLeIEj5UDLAOjmqKgZnYb1I2ZCmIYVCuihSJQ6sO8t3tOyQk/8RHEOOB8tmXqSu2FZe51yQun3KMeQzpIs4F9hvrGsMGsP+IVXKE9x33333VJ/2b2hW57mgzzsHbYb9xH51Xjs4vjHoAeewO4nv6Gwnx+gL6OKedwFoiL7gHuw75stn2FYnS3B1lbr9zjWFz7uAN0SfDMYFcXHrNTGkvJgvy3deTZxUx0li+urIsn/4wx9Otb3+xV/8haTuOsg50LcmMigLPSo4u6Scg3109tlnd/K99dZb2zQlB/QOxXWe9eL99AzC9TSWz3WgkbdI3bXCSce4hlP+IXWlE6wv5xrlEfT0xf2Vczt6Bfr853e+373sZS9r09zP6QnFBT/r8zRDj1u0BwYpoe26MrgPRntjn3LfdrJYt05y/YveyPg7tol1/KVf+qX0zpFIJBKJRCKRSCwW8iU6kUgkEolEIpGYJ6ZZE91BQ4M4WpWSiNtvv73zLKkA0imkzXnKl/II0hPRc4U7Oc68SCvRQTppDNKl0TE4PYg4StjJHVxgkkifO5rbOa/nKWieuuWzlI/EvJzjfIL9QIqHYxNpVJ4a5+lq9hXbwfqyTRzn6GWE5ZN2Y1+zHu70MME5FvOlJ5NIRU4zmrHh3CQF6E6gSz54ipvDvJ/pKL/iM04O4jw4OI8YTo4hdedd9OwzqTyHeA8pXhcwiH1NO3HeTqIMYr7eK9i3LJtzu6+tLiiLo25Ztgtq0we3ZjLNeelsN9ad6PPoMW1o+oPrI/dN0t5xbecexb2Pa6dbu5gv5RtSV/bBoGOUnDB4CoOBnHjiiW2aHkMYXEXqzgO+D9BrBPuEMg9nexFsBwOpcO+jpzH2O9tK+SClGVLXIwjHgPso7ZLvJXx34hjENYBlsHyubS7oHfuTz8YyWHd6NaGXKs43ri+U7/V58aIkcyG8XOWX6EQikUgkEolEYp6Y5i/ReXo4kehHnvZPJGYHaa+JxOxgkL1O80s0K/2GpaxIIjGleONSVwBIe00k+pH2mkjMDgbZ66K+RJdS7pD0oKQfSXq41npiKeWZkj4h6RBJd0j6+Vrr/S6PBo2uhZoZ6pupg6bGJ95HjRC1gtR5UcvlouBJXudDfSz1N8yXdWJ9qRGTvBaI16nZYn3ez8MRAAAgAElEQVSpJaZWKbqVo1aKOi9qndjvmzZtmlh3Ika1oj6QZbBP2CbqqZxLmhjhjZoo9jvHmf1OnTavU5Mc9ePUwLJ/nUZ369atbZrjR50W6yF1x4pzbmikvF3FQtprU2+nXe2LLMj7OG+GuGejxq5Px8rxov1wrjHNdcNFqIt1dPpq1svNJ/Zb1F2zXuwHpwdmPZx+PM4t5sv6DnEtNyTKZATLYD+4Mpzrw9hXzpWic401xP1gnxu93e0ydqFstqk3tcfso3Xr1rXpGJGPc4VuybgHrF+/vk1zflAjHDXRPKfiosjyee4rnE/HH3/8xLKlruaYrtDYJmqqqbumnpZ7aowmyCjJbIfT3990001tmpF7qeem2zypOwf5LsO+4vklzm0XQTDOZfYv91c+Q902x5/vRxwD5hPr69wDc3/kOwOfZd/Gdyr2Fd8ZON/mg92hiX5xrfX4Wmuj9D9P0sW11iMkXTz+OZFITAfSXhOJ2ULabCKxRFiKg4WvkHTBOH2BpFcuQR0SicQwpL0mErOFtNlEYjdhsTXRVdIXSylV0n+rtX5E0r611h2SVGvdUUp5bm8OYzSUg4tKR0o8up5x1DE/+fNTPl3P0D0N6Xip636MbmmcqzXKPFhfUkGk/6WutIBRjUjnsH1Mk5KiNKNPokA5COmqQw89tE279rEPoksvUjiMvMfoTowOyTFgfe+44442TbdAUpeSZtvZJtcnjLrFNkVJgIviyLqTFmT7WL8tW7a06Uj/EU4ytEhYcHt1soA+91/OZdkQOQttKd5PScUQF2lOttEXsdDdx7ni5CquHtGVo4tcxvuc+01ep03GdrDvWEcXSdSNp4sSGOvO/nEuB51bT7a7b444t31uzjBfynliO9zzTs6zwFgQm236n+NAN2i8Hsfa9RnXea7V7Au6E41SC+7VnCtcL+kGjWsqr3MPpdxE8i5IuYZzDea+zX2CbYrrNNvFPYfSB9aXey3fZVj32Fd8F2IZfK9xEUadlGTlypWdMty6xf5l/7hIj5xLUTLF9nLfPuyww9o092D2e3S9OKl+Utct3pFHHtmm+X42Hyz2S/Sptda7xkb8pVLKxp5736jpOniRSEw7rjbXP6LuyeKhSHtNJBYPC22v0nCbTXtNJOaHQfa6qC/Rtda7xv/fW0q5UNLJku4ppew3/gt5P0nN63/fQrJ7T2skErOBE+e+ZTjSXhOJRcWC2qs0L5tNe00k5odB9rpoL9GllCdJelyt9cFx+ickvVvS5ySdK+m94/8/OyS/hu4gpUHpAukCnuSUup/8SRc46o0UDz/9kzKRulSJo34dxcpnKeGI1ANpHlIobLs7xUo6hVIL5il1aSVSJZSvsGw+T8qN9YiR/vg88yWFwnxJSfE6T/NG2Q5P2nI+8BnKYFxEOecFJdaFkhNeJ23GecF7KB+J8hrOM54sjvctJBbaXhuQkuNc6ZNzuIiAzpac54vo9cP9zq0jQ+Z2XGuczMCV7SQuTMdx51oV2zjpGdbdUe8uomLf8/ONyBcpaK6ttA2Oh4t0R9vnHCHFLg2TerDtLiJqn0cW3jc0muVCYCFtthmbSy65pL3GCLtcQ7lfSF3pA8eUdslnKH3j9bj33XnnnW366KOPbtMcI3qc4JrKNfyGG25o0/R2IflIuqw786W8k+NOiWOUAFL2SVvi2k7PEsyX/cN2cz+XunONbXJRi1kPzlmOAcc15sW6nH766W2a7w+0N445y44yshgVuoHz7EOZB/uA9YtSKvYp96dd9ayzmF+i95V04Xjg9pb0P2utXyilXCXpk6WU10u6U9KrF7EOiURiGNJeE4nZQtpsIrHEWLSX6FrrFkmrJ1y/T9JLFqvcRCIxf6S9JhKzhbTZRGLpMc0RCztoTkfz0zzTpNYj1UEKnyeGeZ2nUhlAJEoGCJ4GJQ1COpIeNUgxkbInFUQ6ROrStWwvKR9Hq7pgEaTApC6VSnraSUMocXDtZnnxd6RcSRNyDCnbefaznz2xrpFW5SlqdzqbfcVT3pSCOEpX6lJUpOB4nXVnGRxzJ4mRurTStm3b2vRi08MLiWa+cKzZR6T2oySCc80F7nBSiz5vHk5m44KREI6CjNQt83L2wDlFG6V9u5P08WfX3jhvG1C60CcZYb6u3wjXh07qEH8mtc31l/bDetBGSTtH7wtcT2njHA8XxIV9xfb1BfFxnkymHU1/Onr8oosuatMvf/nLO89yHLm/sp/Y95TocP2PewaDnHDv5Hi5IGKcz5RjxPnL+cK6M4gLy6DnDcpd6MkqSpA4t9knnMPbt2+fmD7xxJ2yXLYvvpewTO7PzuMI23HGGWdoEuKaQAkq1yraGOU8HNv4ztGA8hjJyxy53nPNZIAeejWhpIVjI3XXJMpH4vo0FNP8En3O+F8ikZgMHhRiGN+lQNprItGPtNdEYnYwyF6n+SWalX7DUlYkkZhSTJPLqrTXRKIfaa+JxOxgkL1O80t0B80neNIFTJM6i54hSDfwhCmpu6OOOqpN88QmqZx4epOUAekKnv4kNUmahVQF5QaRvib1wMAddCxPh+Gkq1xwjkhbuJOslCuwr9m/7EP2LSUYkpdLsK9deRw/0j1xPNh3fJ514els53mF5UV6mO1g4BdKe0hBk5qjbCdKGAi2i3Xk9XhCftrQzG9S4hxfzrNIG5K6c8+4ACJ9lJyTcBDM13l2cJINyQfq4fpEyp9zltf7goa4k/Usg9Q4y3CUd19wpCEeOdhXLuBTXJdpJwzGwbX44IMPnpgv7ZXraqRuaX8cf+chhdddgIjYB86ryq6e9l8KNH1IOQf3mBe+8IVtOtor++nv//7v2/QrX7kzUCLlGFzTKDGIa+KKFSvaNGVtBPMltc81nOtu9P7AMgjOCc5BShRYX+5pUc5Bu+R7At8f2O/Ml3bJZ/kuIHWlKNdee22bplTDvTvROxjX2xgEjH3i3n04nhyPVatWtWnaMeshddcLyjs5nqwH+4q27+Qf8Rnn+Ws+WIqw34lEIpFIJBKJxEwjX6ITiUQikUgkEol5YmbkHM2nelIlpJHoaSN6uCC1SXkFP/OT5mFepPPjiXdSnjyBy3qRjiG9RzqEFEj0LEIqiDQEqRY6pXe0KusRKW9KFJzXCFIopHxYBp+NtBlpTvYV+5B9zTLYV6x7pFWZF+muI444ok2fcsopbZoyGtK+mzZtmnhd6kpkOFaUGpBeJk3NdpP2p6RFkm6++eY2TSrSBdaYRjT94YKJ0BaihIm/cxKHPg8JDeIJdheoh3k5OQjtkLYUqW3nVYO0JcvmmDoJh/O0IXUlCs6DCO9xMo3YbvY710/3jJPKsG8jzU0qnsE06JGA9uPkMbS39evXd8qg7IN0rwuIRfAelhc9PAwJ6DLtaKhz9hHXJa5DlLFJ3f3jRS96UZvmmsg9ivsu9z56xJCkG2+8sU0zoAelC1xHOS5c23md80nq2rLz6EB7dTI87n1RxkOZIz1IuLWCXqY4n1g2pTZSt6/PPPPMNs05TMkhPW0wX+7n0aMGPWm87GUva9POs9kv/uIvtul3vetdbfoVr3jFxHrHurDt7JOvfe1rbZr7Od/bmE+Uc7DvWD7Hfz6YTYtPJBKJRCKRSCSWENP8JTpd8CQS/UiXWYnE7CDtNZGYHexZLu4amoCf+EnVkWKKn+9JXTgvDDyBywApPCkeY8mTnnenUulNwjkSJ9UVJQqsO2ki0lCkaUgrkT4lbdEXIIJp9iOpW5ZBKo/3RK8FrAvpLdJulHCQjmG/Md9I17N8PnPyySe36dNOO02TwHFm+zhfpK6Eg/SWC9jAvo4eEBpE2mzlypVtmtQT+2eMqXWZ1cxvzif2Ea9HSQTpV+dNwgUSov1Emp42QPqU+XLsnDyCNGwMEOGkXKyv8/TAOrHuUe7i8mVdeJ39OaQ8yUsZ2D4ng3FSidgO2hm95hx33HFtmvS3A9frGLyBazTpWsqy2D5KGCi1Yd/GtY3968ZmnNfU2usxxxwjyUsXSNnHdYyeFyitYb9yHaXtO3mD1F2T2ZesC+cQJUEca0oJzjvvvE4ZXBMo9eB+ftlll00sj/WjXUWpBd8t+M5B+QqvU6rJ625uSl1b5Fx1UizaDOWORByPKMdqQGnH1Vdf3aYpnzvhhBPaNOfYmjVrOnn92Z/9WZteu3btxGfojSzKLRu4dxSp+27AcYsyJQ2015RzJBKJRCKRSCQS80S+RCcSiUQikUgkEvPENMs5Omg+yTuJAT/RUy4gdWkp0rIu3jxPjZP2izIIUgyk2hncg5SWO+FPGirWfePGjW2aUgJSinQYTwqGbSK9FSlo9in7iu3gM6RoSYewP3iaVupKFlgeT1c7OQhpKHr9iCetnUcCniwfAtYvUpfsE54SJ4XNecX+cZQdqSepG1iAfTJBzjG1aPqQ/cKxdgFApG6fOxsjDeu8I0QvChwL2rKTO3AOOjuOlKcrwwWH4f1OEtEHtp3PsB9IAztvQXFNcN4GnIcV1sMFg4nrJ/uOv+Mp+yFgu+OYc87wPifJceucm3sRzHfoGE4DmjWH84NyBbbl+uuv7zzLPue6dvvtt7dp572Ka2j0TMV5wHWA9eKaSjqelP9v/uZvtmlKH6WuRyiuT9wD6C2GXp8ow+zz8EObYZ80EppYHr0z8b2GY0N5hCTdcsstbZqBuJx3JOeFaPPmzW06eo3iHPjMZz7Tpv/4j/+4TbPf6Z2D+z/zje87H/jAB9r0F77whTbNID7sN84ZjgfnYZxXnEucP/Nddxrkl+hEIpFIJBKJRGKemOYv0Xl6OJHoR572TyRmB2mvicTsYM/yzrGUFUkkphRTe9p/KSuSSEwp0l4TidnBIHud5pfoDhrdFXWK1DAxUk7Uojn9JKMSRV1qA5YXdUROG0n3M9TmOF0QdVpRl8PnqT1jm+iOh3VkPai5ii6atm7d2qbploZuiahpo66LbnqoV45u2/gz28Q60hUN9c5OY0y9utTVjzEv3kf9uQM1f9GFDtvOceOc63P114BjSe261NVwcV5R6zbtmKQHdfrdeC91fJwfHHumh2iMY77OfR3hXPI5nbbk1xqCbeI6wLpzfkSdL+vFvNw5AtaJad4T5ynL4DrnNOfOrR3bFLXE7EeuD9RJOrdaBG0yrgm0X+br5hXrxD5hm6J7Mc6zIfNqGtHsIbQRrqFcsw877LCJz0rd/Ytj6iJXunNCUlevzHw5LlwreZbE7VFR+099LdvLdwuekeLewPm/fPnyNh3fJejyji5dqeF1Lj/Z7+wPuqiTuvOeeyf7lPszdeWsE3XlcQ+n+7qzzz5b8wHHj3U6//zzO/e99rWvbdMcA+c2lns+1xc+G90Gc5z322+/Nt1E7ZwvUhOdSCQSiUQikUjME/kSnUgkEolEIpFIzBMzI+doXMuQpiGVQ1c58bM8P+eTVqAbNuZLipUUQaQ8nfs7UjCOjmReLC/W3bnO2WeffSbWkfTEVVddNbGMSJsxYhHLZ79RckA3b6SqSGnFKEGUiZCWcu0jvUVaic+ynyNI3dI9jpPO0EUQI07GCGgbNmyYWD7ryHlJOpmUsHP5JHVpQtJS7MNpR0PTumiYTlYgdWlwF3mP84aUMO+J9uokIM7VGml7lkHb4/VYdxcR0El8CNYv2quzE7ad5fVFK20Qo7xGycJc5bEP2QcuUp3UpZdpf5dcckmb5rrMulNCQDegdA8mdW2Zaxj7NI5hgyEuwaRh7gunHY3M7brrrmuvcQ3nnI1rOyVNnHeMFMu9iPdQhkl5pdR1P8Yyuf9wf2X0Qxf1L85/1sU9w7Ip7eC8owwiRgBkHZ2bT8pMKMfg/KWMhlIQqbuf0N4pcWHdOU/57sT3hOgaljIVvjtt2rSpTTsJE+3tG9/4RptevXp15z7aDPuKEU35jsI1he8GLC/KyDgHKJF0kt65MM0v0Xl6OJHoR572TyRmB2mvicTsIL1zJBJ7OPK0fyIxO0h7TSRmB3uWd46Gvjj44IPbazxJTdowRhHjJ39SBKRQnISD1FGksRgFkM+QvqHkg8+TxiKlEOtOionPU0ZB2oUUK2k29k/0AEI6h5QG82VfOYkBqZjYV8yXbSLFSmrNUTNMx4hKHAOWz3qx31ge+4DzKnrOYJ+yLi4iJGlg9hvpQlJxUpeu4u8YTXLa0dCFpMpdhLtIp9NenVeEIRELI50e5QSTyncRFil3YDs4V6Qu7e0i/bE8tslF/euL9MdnWBf3vGtrlG84KYOLyOjKIGjTkvdAwvWQaxBlNLQ9Sq4izc11wEWddG1lnfo8mfA+N+bTjmZdZMQ59jf3sUh7cw5SPsB+4j7q5FPRmw1tjvsMJYs33nhjm+a+wv3OSSUkL+vhPkGZCNMuYmH0AML7uH9Q9sG13e0Nbp2TfARY2g/3Msod2be8h55LpG7bKV/89Kc/3ab/6q/+qk2vX79ek/ChD32oTUe5q7Mftp1jFiNQNqAMjOu41H3/YV+5dWsuLPrBwlLKXqWU60opfzf++dBSyhWllM2llE+UUp4wVx6JRGL3IO01kZgdpL0mEkuL3eGd4y2SNuDnP5H0gVrrEZLul/T63VCHRCIxDGmvicTsIO01kVhCLKqco5RyoKSXSXqPpLeVEX94lqRfHN9ygaQ/lPRf58qrcapNqoO0Nx2GRzolns5s4KQaTkIRaVUXVIPlk5JgvpQP0JtDDN4QHZ43oJNxUh08tU6KiBRG9ABCWQSpOtaR+fIetttRUpIPGkMqiW0nfUiqqvHSIj2S0iL1xTayHaR2nHN21p0yjVhHjg3HgDQk7+EYsGzSplJ3bFkvJ0dYKCykvU6ixjiOzsvDuB4T83FUnwt2Eel0FxDHBd5wFGmf1wYnESNcECTm2ydLGRJgxUkRmBfLjlQ6592kwDmxHk6q04co72jAunP9ZV9zreHaFNdLjgf7wc0TF/CGZUfJnZMELHawlYW012ZdZZuvueaaNs01P8oBuV5y7NlnBxxwQJt2+2P0EEPpBfvVBQ9imgHEWHacy5QTUH7AMea+wns47/j+Ed836FmCv+NcZZ9wblNeQ282f/M3f9Mp4zd+4zfaNPuK7yzHHXdcm2awFto6vW5E2RL3XtaFkpEPfvCDbZp7J8fj61//epuO3jlOOeWUNs35xzK4rlL6xTFgOq6fDL7D8djVYGaLrYn+oKT/U1LTm8+S9J1aa2Op2yU1M/yNmq6DF4nEtONqc/0j6p4sHoq010Ri8ZD2mkjMDgbZ66K9RJdSXi7p3lrrNaWUM5vLE25t/lzvW0hmJ35qIrH7cOJCZZT2mkgsOtJeE4nZwSB7Xcwv0adK+plSyk9LeqKkp2r0l/PTSyl7j/9aPlDSXT15tGg+u/NTPqUApA54MlfqnlonXeVOwd50001tmtR6pG55MpTPk57nddIKpG9iMAXCBZhgvUgrsWz2j/P4IHmKiTIT5+yc/d4XGITUEKUafIanrin/oMN59ttRRx3VKYP9wHzdiXvX76QkI/3HMthGUrfMl/IPnlxvghtIj6S1GXSAzy+yd44FtddmrjvvGi7widSl3UlNcg452pzpKH9xMgjnRWFIUJO+U/KcB+wH3uNoaicfib8j+LzzgEA4mUYsw7WXfU27dDKYSA/zedorAxRRikW6n/3Gfo7eUth3HH/XdndC381dyQdb2dXT/gOxoPbazE+286STTmrTlD5GbwccF+7PXLe5fzCgy9q1a22+nC9cd1euXNmmGeCL66Nb/6OUkfOFwUxoM3xP4J5IKQg9cEQJIOvFdwbKIziHuB9wPNgOjk2sL9cB1ov1paSBwciYT5SWcl+izIr3USZCrzkcD0otouSJz3CPZJu41lBmRI8jfDZ6HmIZLtjbfLBoIsta6ztrrQfWWg+R9AuSvlxr/SVJl0h61fi2cyV9drHqkEgkhiHtNZGYHaS9JhLTgd3hnSPi9zQ6BHGrRhqujy5BHRKJxDCkvSYSs4O010RiN2K3BFuptV4q6dJxeoukk+ebR0ONkbrjp3xSIH2n2fmM83ZAuoGI9D9pS55Y5ilP0hWOTiaNECkFtoVSDZZB2pD0FKk1trWPPucpWNJYlI+wPNajz2sBy4wO1ic9z3aQmqHcZNOmTZ3nXeAXSkP4DMfZnb6PngZIj61Zs6ZNk7rkOJEGJe1Feit6p6AcyQXvWEwshL024Dg6mj/S3vwd541rvwsAEtcBF+CFz9DGaRdDPHjEurPtjipkviyvrx0sk/3DueIkI7zfpWN9Xd1dvk4OFeVIbk3iOLu1jff3SbRcvZyEx93j0lJXzsDxXGQ5R4uFsNeGLqcUgX1JKj/um5RacG2nbJDjsGLFijbNdTDKjkjhM8gaA4JwP2c9GMjEeQWSuvsJ9w/KLlhHykc41uy3KB+g/ID7K+ca+80FFnF7mtTtq/nKV1etWtWmKdOIMkNKYVhHrjuUX9EripPiRc9UV1+98ywfJSfsQ6Y5L9gmrlmskyStW7euTT//+c9v01G+MhRL8SU6kUgkEolEIpGYaUxz2O9zxv8SicRk8LT958f/lgppr4lEP9JeE4nZwSB7neaXaFb6DQ1FQSrAUcKRbuPP/GTPU5rLli1r06Se+CxP5kpdOQBPlLNe9DjB8kgx0VsF75e6dBNpTpbNNpF2Y16kyqL3EtaXNNahhx6qSSD1ROqK8pFIAZOCcx4USO24U/mkw6IMwj1DioqUD/uN7WA9ouP8IW1n2XRKT3qL+ZKGlLqntvtOlmu6/L527LWxIdoS5zzb76h1yUsDmHayrD7anXOHaScZ4XXOjz7pmJMouDIc5Rlpbv7MNKlt1svJg9ju2A6Oj/M+4a5zPDjmkeZmmWyv887iguWQvo59y/kzZJxdwJu+ID4umBfbPqagp9ZemzWS8gHuBZTzRTkex5VjQTkAbY/jyLWZXjfi8/S8QHBNpfcjznMG9+A+L3XHdePGjW3atZdrMPdmSg/6Av5wTjBwC/ei/fffv01z36Q0MAa8YRkcD+6XlIBwTWAfsK3Rmw7HgPso5z+fYV4sj/WIEi+uYXye64DzbOY8GkX7PP300yfWNwaI00B7TTlHIpFIJBKJRCIxT+RLdCKRSCQSiUQiMU9Ms5yjg4YOcoEDSNvFQB+khUivk0IhDeUCt9xxxx2dfEn5MM28SO2QumDZlE2QvpG6NBifIXXBMkhv0ZMEpR1RBsEySBO5gA3sH/YnaZN46pZ5xfIbkFZyUh13wlgaFqSDY0B6iu1zVL8kHXjggW2anklIK7m+2rx5c5tmoJjoAYQ0KutOOo+ynWlEMxbsC44v50q0aedtwckdCNJ4kY4kzckyOP9JFXI+Oe8MUWIzxOsO2+4kA84WJO8VyNku2831jOkY6IJt5O+czMQFGXHeTqR+iUQDjtOQYAhDA/ewPCcvc55B4rwi+rx4TDOa+UI6nfJFSszimkiJBPcojj3lbpybLIOyC6nrYYOBUCi7YF0YxIWU/ZFHHtmm6c1B6gZWo0SSY8d2cM/hXsR1I8oH2HbuP9wD+A7AfCn15HtMnIP8mXXkfObznM9xr24QJU9sh5NiUYLBdxknuYp9xfcXyhz5PN+1KAdiv5122mkT75GkW265pU1zXkW57lDkl+hEIpFIJBKJRGKe2OUv0aWUt9ZaP7iQlQnI08OJRD/mddp/kW027TWR6EfaayIxO1h07xxvk7SYL9Gd08OLWE4iMauY72n/xbTZtNdEoh9pr4nE7GCQvT6al+gy9y0Lh0Z/Rw2i07BEjSU1ONRsUbPj9HbUXEXtKnVI1B5RV0bNDzVJLnoa3dtIXbd41CRRx8TnqSM66KCDJtY16jjZJ9STU7PFsqnTci7MqOuVun1CbTA1VBwDto/1ow45Rm1ymnH2O/Vi1LFxjlBzFSOg8Rlqrahpo16Z/c75ynGN7oq2bNkysU1R77kL2G022/Qn209dm3NLJ3XHjvfRFl3UK16P2k0XIc9F2nTuk9gO6qljvrRxF4XPrTvMl7YjdW2U8456T/YJdZhcH2ijUWPPtjuXj879nGtr1D86TTQ13M4tIseWNhJ1nHyG48G5wLYOmRexDObFdNSZ7wJ2m702Zzeuvfba9toJJ5zQpjkOMbIb1zK6GeV5EI4D102OYzzjwnnH8qmb5Rgx+hz1/tRW97kspc3xOuvIvZORdLnOXXXVVZ0yTjnllIllvP/972/TX/va1zQJv/VbvzUxnwiWv3Xr1jbNtYP9yzlMu6CumDp4yWu7mS+vU2Pu7I15St3xYTvoqo/zj+sZ353ocjiun3yG58Ze/OIXa1fwaDTRuycGcSKRWCikzSYSs4O010RiytH7JbqU8qAmG3KRNPlIZyKRWDKkzSYSs4O010RittH7El1rfUrf75cCpBjooowu3KJLE+faiPSnc/9CkJ6QuhQFKQLSI6TqSefTLR1pq0jZU5pCypXuzkg1kkIjLUr6JkpGSHesWbNmYprlkbJbt25dm77ttttsO0iDuaiBLtoVqTn2Z4z0R9qNdTzkkEPaNGkv5utcBkbqkmPL+UMajP3OOcPySGPFaFysr6MSHabFZhubc5Hvogxi0rOSl2DQZpxruFgG8yU9zHnnaHsXDcu53IzPc05wDrEevJ/5RndWdLN43HHHtWm6a+K85bwh9c46Rdea7CsXmZB1dPc7SUv8nXN56FxdOmlTlPCwjZwPTjLEMnh/nzs+58qONh6jxCLfqbDXZk2mhI/gehrnPNvP+UwKntIhyly4r8T5wXl/9dVXt2nKFDlvmNell17apin/iPI81vfWW29t0yeffPLEenHPYfs4vrRDqbsns44f//jH23R0vdfgK1/5Spt2Mkqpa0uUorBsrgN8l+A9TMdoghxD9jvr7iSVzIv1iNEv+Y7EuUhXulyv3fsgxylKRlatWtWm+e5z8803a1cw15fos2qtXx6nD6213o7f/Wyt9W93qdRhyKwm21kAACAASURBVNPDiUQ/HnF6eAltNu01kehH2msiMTtYEO8cfypp7Tj9aaQl6Q8kLeZLdJ4eTiT6Men08FLZbNprItGPtNdEYnawIN45iklP+nlR0dAgpBTonYEUfATlA45WIq0z5IS+1KUMSNtv2rRp4jOkfOLJ1wakH6XuSXzSIO5UP5+P1FWDSMeRwiE189M//dNtmjTUtm3bJpbnTmlL3THgM0yTvnMnu538Q+p6KiAtxEiTpI84f1hf1iPSw5SZuMhLpNpcZKi+0+4cW1J4AyMqTYXNTpqfLgJgjJjFOeHkFS6qpIsMKHUpTyevcFKSmJe7zrbQ/pxUg/Ug7ehkBVLXlg4//PA2feaZZ7ZpUti0y4suuqhN0y44H2OZLsKoi1rG/nTeLvryZV2ctxMnwYhrnpOTsN+dRxeOk5s7UncOsO7Rm5PBVNhr058uKijH4cYbb+w8u3btzvd+eplgXpThUXrJPS16KaIEgPsSZRec5xxfRqzjXI62xPXV7cmsI/eYyy+/vE2fccYZbZoR8aSulxNKQCjLcvZDuQH3icsuu6xTBqUPLkoh5zMlnZS/uvcgSTr++OPbNOc8pTN8T6BXFJbBdJ83Mtadc4F7ONdCSlRcv0ndff/221vip/cdsg9zeeeoJj3p50QisfRIm00kZgdpr4nEDGOuL9GHlVI+p9FfxE1a458P9Y8lEoklQtpsIjE7SHtNJGYYc71EvwLpPw2/iz8vKhpanJQ2qTcne4ggFeBOT5P2IG3BQBuxLpQD8PQwQaqXND/pm+ign22MJ1kngZQp6+c8EEhdGox9Ep3fT6oHg5+QDiGtI3nPFKTXSJO6oAWk36IMgEFKSEtxPOhFg31L6pFtih5ZSBfzd7zONMtjv3GcovcFUlf83UB6eCpstqEnOddoV5yPUV7kAmw4LwiRrmsQT5ez/znXnL1zbrp7YtAYNw+cPMLJRNgHpHojOD+4BpJ+d/Ik9kGUVrh6ca1wQUZcsJXoUcDJNlz/Og8ZfDaOh5PkONtnnZy0I9qrk5kMxFTYazMXSIOTdndeEKSuZ5fVq1e3aa7zXAd4P/cMPitJ119/fZs+5phj2jT3JQbGogcHrrucg7xH6o4X5Qe0XY4v9xzucS7IiNRt47Jlyybm63Duuee26Xe84x1tmpIYqbu2UQZB6QLXXOdlh2MT20H5F/vtpJNOatPsX/Y712jew7rGn9m/bAfnxRVXXNGmOX5834gyDdZriJxnLsz1En1NrXWib55SyvJdKnE48vRwItGPSaeHl8pm014TiX6kvSYSs4MF8c5xfSnlnbXWTzYXSilP1OjU8GskHWGffPTI08OJRD8mnR5eKptNe00k+pH2mkjMDhbEO8dPSPqzUsobJL1Z0kqNKKbPSFrT9+BCo6FL4snoBqShImXDU79RktHAndZ3gRykbmx3Uqmk+xibnbQJ6RgXqCXWi/IMSg4I0kqkL3kqOJ5gJ83Dk8Vf+MIX2jRPR69fv75N33DDDRPziVQ6JTa8j21yHi5I62zfvr1NR3kLnyF9yLJJ87CvOTacL1Few9PgHFs62CfdSRrKBU5hnpK0efNmTUI8vW4wFTbbUGbO8wWvRy8rpOo5ji7YCm3EzYF4nwviwXngpADOS0j8nQuiRPtzEi8XLEXqzi9SrKQ5OVe4TjGgAL3sxPWEfeWkHexD9oOTN0Q5R1xPJz3v4IK7xP3BBW5xY+jG39H7Q+vYg6mw16ZNUarRgNKOKFmhlwnKGjlv6QWBewklH5RgSN35wt+Rdqe3LXp2oDSEY0evT7EtfDegLVI+cuWVV7bp5ct3EgXMJ0otuJ7Rcxf3fbaV8+Z3f/d3J9Yv7n1su/MWQ68mrDtBOUeUz7lALKw7371ob5TdMJhYbAf70e2jRx99dJvmvOCYOc8wUnfN7JMTDcVcEQtvk3R2KeVfS9oo6W5JP1lrvWmujMd/TX9F0o+Ny/lUrfX/KqUcKumvJT1T0rWSfrnWOvnNOJFIzAu7arNpr4nE7kfusYnEbKP3FEQpZe9Syjsl/bqk35B0taT/WEqZHBu0i+9LOqvWulrS8ZJ+qpTyAkl/IukDtdYjJN0v6fWPpgGJRGInHoXNpr0mErsZuccmErONueQc10n6e0kn1Fq/K+kjpZSXS/psKeVva62/7x6sI76s4c4fP/5XJZ0l6RfH1y+Q9IeS/utcFW0+55NWcqfL46lS3kdKgtIAygp4P+mGSDuThuczpBiYL+kROgZnGfHkNykfUjYEqd/oTH5S/SKtSnz9619v06RTSAvxBC3vYf36qMy+wAUNSMGRaqZz9ii1IBXL+eAkFQRlHqShKNORuuPGuvCUb58EqAHnTpS+sMyhXhqAXbLZhbbXpt5OXkFqsm8+crycJIJ2yf6K3luYF+2E/e88iDgKP9bdyU/c3BwSpCTKryjD+PKXv9ymKdVwQZ5IfzPNdTWW6bylsH/c3HTjJ3XXQ+f1w/Wbk2JFCtpJctzzLoiP8xIi+TUsBrAxmIo9tuk3yiIpK1uxYkWbjnsM+5x72YYNG9o09yjKMTg34/5Gmchtt902sQyux6T5SdNzHKIHBj7PNG2DQUYoDeD8Z3kMyCJ12858udd+8IMfbNPvfOc72zSDqNx0005ygjIYqTtuV199dZvm+4QLckNbX7lyZZuO+yvLZD/Q9t3exXa7IHVSdx1iGZSZ8L3tyCOPbNPOy058b6O0lZ67nGxtLszlj+d1tdbfGhu3JKnW+ncaabXmdARfStmrlLJO0r2SviTpNknfqbU2q9N2SQe45xOJxLyxyzab9ppI7HbkHptIzDDm0kRfY64/JOldc2Vea/2RpONLKU+XdKGkFZNuG///Rg08DZlIJCSNqN8Oxl/JPqKue55BNpv2mkgsKhbUXsf3DbXZtNdEYn54hL2O0bHX3pfoUsqDGhlgw8M1G2jRiE2aO/rH6MbvlFIulfQCSU8vpew9/kv5QEnNcc5HLCTMoqF6+PmfNJrzriF16VpSF6TlSEOQxiC9EIOPkGIgTUS6gpQy60GJAeUfPMUq+YAPpChYhjvtT0RJA6kyUnOk2th29o+j0mPZrDvTHAP2G2U3pFxccBepK5EgXeVO4rvAMpwjsa9IMVHKwvvoUJ9tJV1I6inSSKwLPStEmlDSifHC2Gb/VNL7xpfmbbMLYa/NPOJ8coE3ohTAeVRwEhDXl9ETj6sLy3NBl7imOE8d8WfOCdoGpQFDAq/EYDSsIz3lcK64oB/sk76gVGyvkziwXuxP9jPzibIlrlVubWN/uoA3RJQasL2so5PdsO7sQ+Yb1zYnP5kg5VoUex2XNZfN9tprs6ZTKkGPQ1zz4x5FeR89H3Ad41pLOp73RC9FnDuk7a+5Zue3veOOO65Nc6+mjVDGEO2C5dNGaVesB/uE4+vkEVLXyxXlGQxSQmkHvWjQWxb7nXul1O3fE0/cOc3Ypuuuu65NU/rCdyruUdGTCfuXaXpb4frAfpiwd0nqeriSumPF5zln6N2D48c6OYmJ1LVxlh8DxGmCvU5Cr5yj1vqUWutTx/836ebnXuMupTxn/NexSin7SHqppA2SLpH0qvFt50r67JCKJhKJubGrNpv2mkjsfuQem0jMNub6Ev1ESW+SdLikGySdD63VXNhP0gWllL00eln/ZK3170opN0v661LKH2l0qOKju1z7RCLRwaOw2bTXRGI3I/fYRGK2UZz3AEkqpXxC0g8lXSbpbElba61v2U11Yz1qQz9QtsHP8qTZ4ylwUh/uJDZpP1J9pEhJW0hdepKUCKkESjV4KpQUGE/vkk6RurQlaQnSUqTgmC8pHvZVpFXZ9mOPPbZNU67iTs+zvux3Ui5SV4bB8jiergz2ISkXtlXq9i/HNrZ3UhnOU0A8BU3KiBQv5wznIr12kHrimMcgA6TgnIxgy5YtqrU+wq3FNNhsKaU2fcM5wf529L/U7Us3LnyeY8Qy3LjHfGNQlkl58f4+2ZKTqXAc+bzzFtMHyiCYl5OfODkb2xTXTP48RKIyRM4RvVg4byRxPsyVlwu8Ep9xHjmcdw0XKCjKa9y8jHWcZnv9xCc+IckH2eH+Fr2OMMBG9IjTgH22bt26Nn3hhRe26Te/+c2xXm2aND/3D0r6KOvinshAL1GSSU83lDi4ucaxdp6AosyQewDlJwxMc9VVV7XpU045ZWLZXGsoGZS6eyG9nNA7GAO9cB9lP1OiGOU1fP/gM9zb2W/cK+lphXMhzheW7wL8cJxYNm2PEtAoGWFebgxf9apXTbTXSZjLxd0xtdZjJamU8lFJV85xfyKRWFqkzSYSs4O010RihjHXS3T7p2it9eE+f66LgHPG/xKJxGTwoNDnx/+WymbTXhOJfqS9JhKzg0n2+gjM9RK9upTS8ARF0j7jn+d1cngXwUq/YRHLSSRmFZNcVi2Vzaa9JhL9SHtNJGYHg1xC9mqipwWllNq4kKPWha5g2I4YBYcaGLpKoU7HuVWihpBRgSTvko3lMU3tJsujrifqM6nhot6ILoeoBXOR99gO6sCkrn6ZumJqkqhjYn1dtLA+/SN/R50V68576NqHroT6IqBRc+w0liyDbaI7nqhXZvlsO/XR1KfxOvuAderTjxOsy7333jtYs7W7UUqp7P8GnI/UW8bx4c/sY6ebpS2xv2O+Tp89JGId1wQXiTA+4zS/LJv6Turz+nTT7ne8Ht1sTSq7T5fOn53G2UVxdM/Gtc1prd366bTHrp9j+YTTu7OOLtphbIdbZ6O+eJrt9cMf/rCkbhRWupKjPR9xxBGd59lPN954Y5t2ruW4j1JP3Re9jnscx572Tjezzk1tdA1Hl3Wcg1xTXPRbnhmim9gY6Y/67Be/+MVtmueJuM9TU817WHYE571ba9h2t79yPYvabubFZ1xfsQyey6AeO55b4buJO2fGenCvZHncU6OLO+7h7lzH6173usH2OlfEwkQikUgkEolEIhGQL9GJRCKRSCQSicQ8MZcmemrQUHakZkiT8BN/dDtFKoqSAefKjC5x6PYkSl9IBZBuIq1A9zakGBwlFd3KkMJ39CkpFNaDdBMpx8MPP7zzPGkb5uUoIidLISKdT5qT0hcnz3AREtkHpO8kH7GN7SO1Q1qRY+aoXqnbLroPIt3r3DxxzCn5iG4NWS/eR3qLroCmEU1bXeS7PlmAo9En5S95So62IHXnoIt+x7KdvfVJUZz7O9deznne7+hLyUtOnDtAplm2kyHEMp3UwsEdjovrp5sPTqrhXB8ynxixkPV16wjtzbnucm4QJT9/OBfcPJ4WNP3hZG3cS3bs2NF5lpQ83atxDadsgtH5KPngs1J3L+R6x3V3w4YNbdpFoeSazfKk7pxw84B7sIt4y3zj+s8ojnS3xncR7lGUVHI+8372gdR9L+I+wf2VexzdsLq9j9IeqbtG0D0f+5dzgePBfZeylBhVlu8GjO7ItXHLli1tmmOwevXqifdEyR3L57yKrhuHYppfovP0cCLRj0Gnh3cT0l4TiX6kvSYSs4MF8c6xlMjTw4lEPwadHt5NSHtNJPqR9ppIzA4G2es0v0RPBKlvUhqUdkSqmz/TuwfpCdJ7pCf6IuSRaiEtQSqIHkAoEyGlQLooUqGkj1g+2857SE+5CIfx1C0pFBd5ifXiyVzSN6Sb4klr55mC5TFN+pPt5viRwpK648z+7ZNnNCCFtn79+jbNCFNSdwwp1SEVyLSTkvSd9me+/J3z2jHNcLQ720X6XvLR8twcYn9z/kevFs47iIsa6CJH9vny5e8cvczyWHe2ifWL/cM+oWQlUqOT6u7mXZ/UwnnLcOPkvHNESUOU20x6hm134+SkIFKXyuW6zvuYZh2dnC3CyU9mwfNVg2ZcN27c2F5btWpVm2aUuD6PCi94wQsekWcEJQ1r165t03HfphSB+x33qzVr1rRpykEoP+G7QfRwwbWWUQC5F1GWQi8cbk+Mc5DSCUph2Cb3/sD6fvWrX23TZ555ZqcM7rcu8i/lj7yH+yjviTKISy+9tE2vXLlyYhkuaiDlGNxfo2cqvt9R9nPMMce0afan8/DDd7O+fZOylBjNcijyYGEikUgkEolEIjFP5Et0IpFIJBKJRCIxT8yMnGPSp3bSEKQRYlAUR3OS+iWNwJPElCjEfN3JV9JNpCZJuZB6iCdtCVIRTsrAfCk/ueWWW9o0TzqzTRGUuJBuZV9RXuEkDdGpPSk10sjO8TnrwfaRZos0DU9Is148wUvpDMeMFBq9l1C+EevOurAdpDudFwjKR/hszJfpSBNOM5qx5Di6ICqR9naSAZd2njqi3U8KANNXHql5F7wkSgxYFxeIiHPISVz6Arqwv2iXbDuvk9rkPW7+S96biJPnuPYxHT35OOmLk7K4gBtuLsS8+Dzr7uzKBVOKY+6CAM2SvTZtYCAVzo/LL7+8TVPmIXXtjPOO8gx6qHjRi17UprmPRc8ZlJZwHeZeRokcy6ZnEecZSuq2kfsix57rA2UM1157bZumXUXvJZwv7LurrrpqYr5sx8UXX9ymly9f3qa5v0ndvnPvO07WSHmEkzZJXWkJx5NeNPg85wzrzneUGMyM73kMxMN3GYLj7yRz0Q5doJkYlGUopvklOk8PJxL9yNP+icTsIO01kZgdpHeORGIPR572TyRmB2mvicTsYM/yztFQC6QCSPNv3ry5TZPKkbpUoZNn0LE4qRJSIJHSdVSSkyu4gBykX6JshVKP7du3T6wXKTHSI5QM0Ck9pRUxL7aJp66PPfbYNk0qh+NBuid6znAntUmTku5lmn3F09F99Aupe5bNtpPmcSf3I8XIvChrcd4iSB+SnuK4cu5I3XbxlDmpp2lH00+kRR21H4OaODkA5TukT53Hlej9wckPXNmOmuecjfk4aQHv4xyi7fdJBgg3V53XG647TPd5kmD/cs1kGa4fWCfnKUAa1lfOs4jzDBKpWxeIx9G9LsgN1/4+OQfr0hfMZtrQzEPug6S9jzzySPss96wLL7ywTb/lLW9p07R37q/cJ2IfsS6UMrJfuT7SLrjOc++L+yvnMPPivKM8j3IM1onPxmArfJ5zh+s868E0vVLQk0WUWvD9h3s17+P+4+SV3POjJxN67uB7BtdZ1p3jR1vinhD3NCdF4XW+czBNTxsszwU/k7pzPO7DQ5EHCxOJRCKRSCQSiXkiX6ITiUQikUgkEol5osyCQ/hSSm1oddbXOTvvOwVOCp55OafdpCQiVUjn7jzhSrqCebEMUv6kS+OpW1IobAepCxdYhDQNpSCRpiHl6YKckBJxNKyTUEjeCwHhgj/QuwYpqVgGqRlHW1NewTI4ZpTgRLqeNJjrB9KSrDtpPd5z8MEHd8rgvCJIm23dulW1Vh8BYglRSqnNfHEynijhIByN7gKecKz5bCyDc5B9yXnDtPPm0Oe1w53qJ1iGu995CZG8dILrHuvu1jnnqSOW4a47zzOEs7EItt0FemFezotQ9DLivKW4fc8FjekLjuS8l7Du3/ve96baXt/znvdI6u4N7EvS9JEe53rJ/qP8inOTeyXlclECyHwpH6AHEY79rbfeOvEe7n3RlmgDrDufofcJzjvOCXoSiV6AKMNgP3AvohyEe4aTbfK9RPLBgDhWfM/gOHPOOs9bUrfv6IGE8ln37sP6btmyZWLZUleCSnkF2+c8obEPOcei7JPBfjgenONve9vbBttrfolOJBKJRCKRSCTmiWk+WJgueBKJfqTLrERidpD2mkjMDgbZ68zIOZq49qTTSReRYouf70kF0LME7+Pnf1IapD1IF0ld2oZUPamn1atXt2nSI6RZnMcHqUuDkEIhbUIvJaQqeA+9QUTqh7QZTy/zPgZPYd1J2ZAaiYFpeB/7mrIU1tfR0Rzz2Fekdki18TrbdN9997VpzgWOa6S0SCVRasO6sK/ZV2wr2xepcNJupBtJp23fvn2q6eGmfS5oCOd89KJBcLz5DMfBefOI/eqkHs5Tgwui0SdL4H3Og4gLTML6klrsCyDiPEC4ecNnnWxC8lINJ8Ui2D7Xh/FnttfJeVy+rGvsK7aRtsg+cUFRWLaTycV6OfnR97///am21/PPP19St4+cxCDCebzimshgIjEQV4PoHYHyBe59HNPTTjutTXNNiFKaBgyqJnVlHwzowjHlPevWrWvTlKJwj4pyF9oi90hKUClxYN3ZnywjvuOwTymJYMAbPs/3KNaP70dx73PBXjjPDzzwwDbN9yDWl+MXy+D7h5OysN/YPxwzevOI6w7nEqU27J/Xve51Sy/nKKUsK6VcUkrZUEq5qZTylvH1Z5ZSvlRK2Tz+34frSyQSuwVpr4nEbCFtNpFYeiymJvphSW+vta6Q9AJJv1lKOUbSeZIurrUeIeni8c+JRGJpkfaaSMwW0mYTiSXGommia607JO0Ypx8spWyQdICkV0g6c3zbBZIulfR7c+XXUEP8lE8aj5/vo1yBdCSfJ1XsaEPGbI+O2kljkNIineK8UrC+lBtE2sydTud1R5uQAmEfUFYgdSUjpH9Is5M2ccEJKIOIfUVqkJITlsH+Ic3DPmE+fSfx2VesC53Sk0Jm3Un3RJqbzu+dpxf2NeeVCxwS6T/KQfo8KCwkFtpemzaRvnReIqI3HcJ58eDYsV84J+LYOYqXZTBf5uW8c/QFW3FBQNxccd5pYnAP56GI84jzzp3c59xiuyXvncPZvsuL/RzzdEEQKC9z9WVeHH/eI/mxcrIW7insN9eHsfy+ubHQWEibveaaayRJ55yzUybtPBbFPYrj6IIocU3l8wyEQnlcfJ7BXlxQLq7tXPPZDu7NkpdNcU9m2ynhoDTEeW2KP/M9gXsZPYC4YG9O3tCXL/cSvvts3bp1YnlsBwOZxHw55mvWrGnT9J7F+ynzoPQkSu7oqYr9zr2WdaSMlvbG60xL3WA0zqPRfLBbvHOUUg6RtEbSFZL2HRt/swjMThi2ROIxgLTXRGK2kDabSCwNFt07RynlyZI+LemttdYHev6if6MGxipPJBKSpKvN9Y+oe7J4MNJeE4lFw4LbqzTYZtNeE4n5YZC9LupLdCnl8RoZ98drrX87vnxPKWW/WuuOUsp+khr9QN9CMv0uRBKJ3Y8TFzKztNdEYlGxoPYqzctm014TiflhkL0u2kt0Gf05/FFJG2qt78evPifpXEnvHf//2SH5NZrcbdu2tdeoW6KuLWrqqK1yro2oKaKumHlFzQzzou7GRTSjpol1p44v6jipGaK7PWqUqW9qXAHGNjFfaqOkri7IuQGjOzhq16jj5BhEd4DURLFN/GrCelBzRZd41ILxegT7lGWw7tQyUnPFce7TinJusO3sd4K6a+rQoybY5UUd/UJjoe21gXOv1ueWzEV9cxEA3f197s6czXGu0KZZX+dKS/JRFVlHapppPy66XnSp5s5vOM2vizzHuka9vdNUu7WU5XGesh3R7SXLcBFKOWYuMqXrw5ivc2XnoiUOjc7I8vv6dKGxkDbbtIGR99waFdcrF/WP84DPHHfccW3auSKVunreq6/e+VHQudujNpfrOeddXEOpz+V+wn2Cew7X8IMOOqhN8+wU9c1S1+bYXhc1lS5ruQZRuxyjIrIurC/PJLCtfMdhfblvx8i5HDfaBsujLRx++OET68EzXHxfic+78x58nvbKMWP7ot2zr93Zq/lgMb9EnyrplyXdWEppnCv+vkaG/clSyusl3Snp1YtYh0QiMQxpr4nEbCFtNpFYYiymd46vSnKCypcsVrmJRGL+SHtNJGYLabOJxNJjmsN+d9B8kic1QjrEuXaTum5XSCGSSqDLMYKUPV2rSF1qhtQXKRjmS6qPNIJz2xfzIlVGmj/SYA3YV3Q3EykUF7WSlA3d3ZCaY/vYjj7JiGsH3RK5upPiixGuWF/ODdaRlA3vZ9mUx8RDOqwL6T/mSyrRubLrcznI8SG9FaNtTTOasXEuv/rcf7mIfi5KoaPa49ixLqR1OVec5MO5leN6InXnrXNvSfkA7Zvl8dnoommIfIV1dO0j4hrA+9gmtsONoaNk4/2su5OAMO3kXs51odTtExcJzo2Hc3cX2+GiTs5CNOAGjdsvzme2n3K8OB+5vzau8qSuuzy6TmV0vj6pBfuSUo1NmzZNvGf9+vVtmmslo9IdeuihnTK4D3Oes47sk7Vr17ZpRvfjPOO7gNSdB3w3cVFyGRWRLvn4/hHfE7i20QbY73Qfx/2KUs0+KSPbSzdx119/fZvmeNIdLJ9lefE9gWs832u471555ZVtmq4PKfPgs3GNpr2uWrWqTe/q/jrNL9HnjP8lEonJ4EGhz4//LRXSXhOJfqS9JhKzg0H2Os0v0az0G5ayIonElGKaXFalvSYS/Uh7TSRmB4PsdZpfojtoaBeeQiXlsmLFijYdT0WTJiLt4U7lu2hmkRbgaVfmRVqW1AFpMNKRpFZi3emRg+VHSq0BqTVKFFgGqRWpS32QwqGEgxQM+4rUFfstehQgFcsySGnxHtaX+ZIOi54RSEVRakHJCNNO8kE5RTzZy75i5EW2l/KMo48+uk07mQL7QOrSlaTzIr02zWja5+QGpDgjPR6jzjVw0QCdx53oTYfrgPOoQFDS4CIWxmeHRFElBd2X16RnJd+nkeJt4KRUXGviPHfrpJOD8H4nwYlek2jjnNusL+cCbc/NpWgj7j4nW3BwnmFivmy7i1A6jWgiB7K/Sc0zHecjPWc4aSHzJR1Pyv+GG27oPEP5AddtzkHaGMf6iCOOmFh2tDGOHb1icN5yD96+fXubdpGQ6alD6ko1uC+xbL5LLF++fOKzLC+uke4dx+0/vMfJXVkPSbr55pvbNPuHXjtuu+22Nk2ZB98l6A0kvicQlGdwznEuso60fUoq4/5CuQznn3unmgu7JWJhIpFIJBKJRCKxJyFfohOJRCKRSCQSiXliZuQcDR3AE6qkNEizxM/3D8FSHwAAIABJREFUpFpIC5BKIEVAOtEFCZG6pzkPOOCANk0KZseOHY9og9SlvXhPpKCdhIO0EE8Yk3oihehOzEtdaod1p4SDlCdpKJbBE7Q8ES35IC4uL44hx9xJSaSuVw1HfXE86Uye7aNkhLIbydNELI9lkKYjON/ivHJeBBYz2MpCoxknUqycWxx39qnkJQ58hn1EapFjEiUKjmonPcx5METmEYMeOHmF89ThgonwnrgmuLq4fElzcg3pWxP4M9NO4sIyhgRniXVhGynzYH9GO5mE2A7aPp9n3fmM85DSN6/4Oyflm3Y0+xHpf+5v3/jGN9r0WWed1XmWHg7YfsoJKck788wz2/R+++3XpmPwLMra2McnnHBCm6Y0hJ43uOdzfaD3EKkbEITtpbSDHi5o724Nj0FK+MzKlSsn5su8GFCObWokN1LXK0UE7cxJFimtcpLMGHzktNNOa9POAxXHk31COU4MukTwHYJ7J9cXSncpH+H7FdsdveRQIsn5GvehoZhmK8/Tw4lEP/K0fyIxO0h7TSRmB+mdI5HYw5Gn/ROJ2UHaayIxO9izvHM0lAhpAdLbLj59vI80D2kPUk+kf/iJPzry5wlgUpMuKARPm/I66x7LIG3NdpHqcp4D6PWB98QT1KRBWEeC9aVsgtQIqZwog6AshWkGT+EpYVLhHHP2QTzxznawvZTnkLolXcV8Sb9FSot1Z/+6oDqcC6SVSOVFup79SNptiBeBaUEzjzkPSIMzHfuYfebkV4TzDBGpfRcoJHrdmas85su5FX/HNNvE8eZ1Uot8NnqG4HrmAsIwX+eFyHkJiXm5NhG0N5bnZFxSd244TyFsn2sHxzJ6N3LtIDiGLIP168vHyV3i3JhmnHrqqZK6HofYr/TAcNNNN3WepRcNNwe5NnN8WR7XealL2zvvDJSAOHmEk0FKXdunfJF78jve8Y42ff7557dp2iHnCvc0qRuYhHXkfnfyySe3aUpOmBelNnHPYF/zHYLvOy74D9cBvu/E9c+1l33Fe9xcYJ9T+ig90oNPA85FjiHf2zZv3tymuW7E/YXSW9p7DKY3FHmwMJFIJBKJRCKRmCfyJTqRSCQSiUQikZgnivvEP00opdTmFC2pANIIpAviiXknl3B0G8sgBRnjvJMKIA1BqoPPk66Kso0GUYpCuQTL4ylWUig8actTwjxtHJ2Ksy6kSlwsetaDfc3gN8973vM6ZTh6mpSR87jA8aBsgm2Suv1O+sdR9yyPYxPnD8F+YJtIBTJf0k2suwvOI3XbzrHifTt27FCtdTI/vcQopdSmD7m+kMZ1wTwkL4dysgLniSXmO8TjBPvbnb4nlRptyZXhAqQ46YLzHhHzYv9wbrPfKQNy0gfniSTWhXm5PnSBdCIF7eYG12u2j2PAfJ20I5bhgvWwbOepY6icw/XpQw89NNX2+pd/+ZeSums+97s+z0Bc67kO8hnuj7Qrrolxz+B8oQcqrqmUknz1q1+dmBc9i5x00kmdMmKgqwYMmML5QYnJrbfe2qYpwYvvFa4f+MwQm3GBjqSuzXD/cnsf8+WYO1uQ/LsIvYmwrfQU5oKtRdmn80TE8ef84X7MerDdcYzduxfr9aY3vWmwveaX6EQikUgkEolEYp6Y5oOF6YInkehHusxKJGYHaa+JxOxgkL3OjJzjoIMOktSlG0gF0DE3aRKpewqWVIeTWpAi4Cf+6LmCpzlJY/A6T7u6gCWkDSNtxtO5bCOvO68fLIPpKBlh+aw7+5q0G/uE6T7vETyFTcqGfc007yeNxbrG8tzpe1LuPA3sKEbmQ9lMLJNzhs8cdthhbZo0FNvhTjdL3bEiDca233rrrVNNDzeyIM5Zjjvptr41yMkMnCynz5OEkz44ytQFd2Gd+gK6uMArTnbBMtg/fVKLIZ43XL8Tsa9YR7aD5blgMk76EOU1hAtm4tZM3k/7iXOJ/eDK5z18nv3uJC2xLk6m9cADD0y1vf7O7/yOJOmlL31pe51emNjH0YsB10Hud3yGc5A24iRMUnftaPZ/qbufO8kV82XwrOipgXAB0CgHYBlD5BFSd05QZuL2Dz5PeWZfgCon/4oS1AYMLMNAdZRIRlty+z7TTgLF/Y7tjvure99he5///Oe3aY4H5yuDvUV5TZRZNeA8eetb35pyjkQikUgkEolEYrGQL9GJRCKRSCQSicQ8Mc2a6A4amoCyAlIEpHVIVUhdSoO0AKkHF/OdQU1IEUhdCocUCqUIdJBO2sRJQSI9TFrJBZ6gRMWdgnWn0aVue3lylfeRZqE8gh5AVq1a1aYpY4h1JD1GaoV0CtvBZ90Jfal7apt159xgGe4kPecI85S6FB6pOc4lls1x4nwlrcj5InXbztPnrPu0o+lb53GlLyiKg6PjXUCXmK8LQDJEisD6DvVqwTnBeePay/lMyUC0V0cjO/mWC+hCO4596zx6OEmF67c+6QvBdpDuHSJ3Yb5xTXCSExccxgXYcTKP+LMLtDTtaOQSDAZCT03cd+P+yr3MBaA66qij2vS6devaNAO3ULIhSSeeeGKb5tpHGZ7zIMI1lfs2vYfEn1nGWWedNTFftzfw2ehhgvsEpRqcm+xDXqfHkde85jVtmlIHSbrqqqvaNAO3MC++f3Bucpy5JkTZDqUeGzdubNMrV65s0+wHrlN8v2J/MgiP1H3/oDeQNWvWtGna+B133NGm2e9894nBgfgOwTbFIDlDkV+iE4lEIpFIJBKJeWKav0Tn6eFEoh952j+RmB2kvSYSs4NB9jrNL9Gs9BuWsiKJxJTijUtdASDtNZHoR9prIjE7GGSvi+birpRyvqSXS7q31rpqfO2Zkj4h6RBJd0j6+Vrr/S4P5FUPOOAASV3NDPU01CpRAyt1NXO8j1pKp4tjXjFf6oGphaMujBoo6nScDjrqqZx7KYIaH2r9WCdqnaLOl/Wipon6SfYJNbsuMlp01cc+ce54WEfqoKkfps4uupqKrvsmPUMNHSMquXZEbTfnACMkUb9FzZbTWFLXFyMqcY6yHzg3brjhhgV3mbVQNltKqc24OpdHLlKf1O0/tp86Pue6jGMXNaksh887+3N6bs7f6DLL2QZtzLmZc7Ye12gX+ZEaRLrrcnWP/U64swdsh9OVuzMBsR0uaqWLAOjczPW5sXNabTceLM9FUYyaaKev5lx4+OGHp9peP/WpT0nqRp1t9lypO47UTUvdte/CCy9s03RFRu2ps73ly5d38mXUQI4j3b5RE+vmKec5tbySdMwxx7RpjivXZ+5lrAf3UZ5diu8J3HPYJkY/pHs2rnnuHEBc26hfZtupnea7E9996PaVe1qMJsjyv/Wtb7VpvuNQH33ooYdOLJv9E131sV0cA5bB+ca9k+1mf8a+Yvls07Jly9r0T/3UT02Fi7uPSfqpcO08SRfXWo+QdPH450QiMR34mNJmE4lZwceU9ppILCkW7SW61voVSd8Ol18h6YJx+gJJr1ys8hOJxPyQNptIzA7SXhOJpcfu1kTvW2vdIUm11h2llMnhdCagoTVIPdAVEumiGAGOlDypFVJJlDGQbuKnf7qIYZ1imtQO6R9SLqSO6DIoSi34PGk0Ul+33XZbmyYFx3qQWiEVE+9zsgv2A6k9Rw/HdrBP6VaIFArLposiup4hRRppcfYvx4pzhtIOUvdOXhFd8JBWousk0op8ntQc5T+cozGiEsE5Ht0z7Sbsks3+/+2dXaxl5VnH/08EFPohxa9MBAaQzyIzzABqqZTGdrRjwDSxEIwXXFSIhgtNY0y10eidNWh6gxpiNSYqYj9puXBoK4YJ48wwDEMZOA4zhSFDWkEv0KhNtPX14qy95rfenmfP3oez197r7P8v2Zn3rLP2ej+f9a45z389z2h9Z+G/KD2o55G2RIkP3YtZ6LRxMhHCMefaniQsGddyLVtiX7IQmLQZrgOuFa6zceHneF2OzySh4Vh3HX6O6y6rj9/JJBVZO6RcApJlt+M5mbSjnnOusyxTJOtjmWuB4zZpSEaOb52Nb4asy15H7vYsHBtDlNWhXplB8IMfPP3Mzn13ZWWlLVNqdPnll7flEydOdK5Lacmtt97alg8dOtSW6drnPsH1yPWxffv2Th20maNHj7Zl9pftZYa9kQRGku677762TNuRVqV3I7ifcHxZB9vL89lvhqWTuiEEX3jhhbZMuRmvNUkYVu6JUvfZKQvHyeP8fpYVlDIPqXtf59zy+3xe4vEsZCfHtq6fe2p9L5+URXqx8F4t1osXxiw6h5LjD6r7ZvEssL0aMx22V2OGw0T22vdD9GsRsaX5H/IWSXxDYdyNZDZvPxozbG488ylvmsxmba/GTIft1ZjhMJG99v0Q/QVJd0v6/ebfRyb94sj9Sjcs3XN049XuFLp56MbgecwsSHlDLX0gdEWwfrpaWDfflM3ewK2jOfAtU0ok6HqglIXtpRuDfa3lA2xvFlmCfaVsgu2jZIQuPqnrAqUUhe6x7C13uoXYjto9nGVIovuG7kq6hbK3fOv5Z0QPrhNKRugS4zk8zraOy9o0LstbT6zbZqW8/VwPddQGzuu4DJUjsggQdbQW1kkXZBZFY5IoKeMkCmwvbY73Cs4128s+1f2mzIDtYj+yiAKsm9KmWqJAN3B2H8jGLRvnuh/sbyaj4fc57nTdZjKN+rp0FWeRhDh/WfSmeqwmiUzSI+uy11FbKcHIZFL1XGWZ97gH3HTTTW2ZLnRKFBh1Q+qOK+V9vIdTisXjx48fb8ucX64bqbunsh+UrLz88sttmVkV77zzzjXroGxP6kpWuN9x3V522WVtmet03759bZmZCOt72549e9oyx4FlSlaZiZmSyscff7wtc0+TulJR7uF1FJoRzz77bFtmNmM+l/AeJHX3V7aXtpjVTdlMFmFNyp+9arnupMzsxcKIeEjSP0m6KiJejYgPa9Wwd0XEcUm7mp+NMQuAbdaY4WB7NWb+zOy/yqWUX0h+9b5Z1WmMWT+2WWOGg+3VmPmzSC8WjmXkXqR8YOvWrW15nPuTLj66mPi2Kd32mauvfiOWrgu6hXgtuifoBqSrmJKPOvg4JRJ0RdFdRRca32jNkgXUb93yd5R9ZK5JRgmhu4h9rWUQlJwcPny4LdOVxHbQ1cV+Z9IcKY/qQBc234imhIOuI7qs60gvDJafJdjhW+Yct3r9jKjdo5wfju84adGiMZoL9p/jlSXBqH/Hucvc5rRX1jcuigKvS5cgJQOZ5IN11G5VXpf95TrKJA7sE9te94Prhes8SyDCtmeykjpxUWY/WfIcwuO04xrWybHKJDzZ+GQRPGomie6SJZAZJ+fgtbLkMIvOqN379+9vj1HSwDLvlVJ3TTz33HNtmeM9SaSaeg1yf+d9mwlSuJ65d2WyKu5RUtdmKGH64hdPZ3jmnvyBD5wOy01ZAPtUJ8+itJBjwigaXPPsx7Zt29oyx/npp5/u1EG5DK9L+QifJbgX0V5vueWWtlzbEueAZfaJ3+HzFZ+jKOepE7pQUsG1SDkI55ztoGwms12pOyaUrNSJsyZlkR+ib28+xpi14YtCTOM7D2yvxozH9mrMcJjIXhf5IZqNvmeeDTFmQVmkkFW2V2PGY3s1ZjhMZK+L/BDdYfQWJ93bdNMw2UUdXJt/8ufbtZR2UCZAuQKDs9fu9CwBCd0jzz//fFum1CJLZlC7FCgtoMsoe3uefaXbgq6VOlj+qVOn2jJlKfw+I0jwDW7OwcGDB9syx1PquqvYFrpaWHeWcCFLgCB13YyUuPA8rp/srXy6umrXLd9Q5rzR/c3x5Vri+VlijbotWQSYRad2zUrdvtAFXrvb2E/Od5a8gvM7zoWeSQZ4Xc4j+5DJBOoIDFlkkewctp3SB66Pet7ZxyyZCduVSRS4tmvZRSaLySRiWSIdzt84GQTHgeVMRpEl8anvn6w/i+LBOtgnzl9Wd00WuWWcrGURGO1tO3bsaI9dccUVbZkRKmoX/BNPPNGWmRRl7969a9bF+10mV5C6rn1GZHjyySfXbCPd/Jwj3ufr9ZEl2aKUhM8JbDtthPcN7j3SdyYUGcFx5LUY3YN7IpOq8VlC6j5PcM1TBkG4ttle3nfqNcv6uUeyLRwftoll9qmOlkL7u/32044S3rc4t9mewvOZ6EfKpWDrTbYys+gcxhhjjDHGbFb8EG2MMcYYY8yUDEbOMXKN0cVKdxmjP9SuV8oushz1dDfQrUNJQ31dugJYpnuDQeLpZqHbjy6ULOlA3V6+ZUyXBuUDdJuwDiYZkbouLbpwOKZMFEM3FK/LgPG11IJuG0pqWDfroMuFLiK6njiGUtcdyPr5HV6LY805pyuolqXQZUj3FuugrITjw+vyOhxnqdt3JmsZ0tv+I9ca28z5GufmzyJ3cK1kkRY4rln0CCmP9JBF1+A5XFt12zMJQJYIhfcw2ve4t8szOUGWWCSTRGTSjvo7mZQlS8aRSUHGRUvJEqGwTzzOecoiP9Tfz2Q0WTSRbAzHRQDh78bJPhaN0T7HCA7c+xhhot4/KPXjnnPHHXe0ZbrUMxd8vWdwjnl/vuaaa9oy97tMHsG215GpeB6/n/WJEhXK9q699to12yR1ny3YR36fEUC4njkG3DfH3duYlIXrmfsS+/3UU0+1Ze7htbwmi7TEdcL9jrIUymg4B7X0hX1nBDJ+n3syE/RkifRqSQvHjm2vk/RNiv8SbYwxxhhjzJQs8l+iHYLHmPE4ZJYxw8H2asxwmMheY5xbYFGIiHLllVdK6rr8+Sd+uojqpBb8Dl0UdP1R5kEXSPb2vJQnN6CLgi6GTJaQJf2Qum5EujoY1J7uLQYyp4SCLi0mrJG6bzgzlz3Hl24Ptjdz69SuTLaRMgiuvywiAd0snKf6TWv2l/3gmPItb7reeQ7lOPWb1fxOJk+gu4rn00VIl34dyYLXypL9vPjiiyql5P7xORIRZbS+2ZcsKH/9hjbHI4sgwXWQJWGppVFrRQyp68iiMGTSh9oFzfqzaCqZLCeTXYy7R2eyhCx6RdaPuq38HW2JxymTyyQqWbSLGtbP8zLpBPtE9259j+a9P0vuQrJIL1lijfq8cVEEFtle77//fkndfYJJO3jvYVILqStfyCJv0DVPeQTvr3WSEv6O9w6uKdo4I4hwT+M6reUcnFf+7plnnmnL1113XVvm+qBcgePG6FVSNxoV28J1xDHkGsqiidVJ2SjDyOSLlAZyP+beR9tj3VJ3Hz5y5Ehb5r2Y+yuhXTJhGZOdSN2x4vME723sE+eDUiRGdqltPUuWxTV2zz33TGyvlnMYY4wxxhgzJX6INsYYY4wxZkoWWRPdYeTuo8uHLg269us/32duR/75nhIDvjVL12QdjJvu/NpNNILuRCZryd4IZ1ulrquF36dLrH5beq1r0SVbvxFLdzqjGxC6W+kqoRuJbrY6GDxdUdnb96ybY0KXC108tXs+azvdTZxD1kG3EueM41bXSVcSXUR0ffIczmUmBamvxeQuQ4rOMWor+5K55us1z/M4R5kcJEsGUieF4LUylx7HOEtoNC6qBec1i/SQRRjidWlv9X0nSzqTRd6YJHlJLYPIEjtxrWZSrKzummzeMklMJnHJ7F7KI55kkTd4XY4z2zQuigTrW2/yhnkwinLA+eV9k+NVR5/gd3jfZ9SHLIkR729MTCZ1pQG8D2cRto4ePdqWOUfco+o949ixY22Z88062F9KOK666qq2TIkCpRJSLj+gXCWTYGTPFZSrSN37DseBkZ84h+w373+0hVoWm90bKVPkWNFemeSMc05ZiNQdO64l7sl89uF9mc9BrLue80zCwUgf0+C/RBtjjDHGGDMli/yXaL89bMx4/La/McPB9mrMcJjIXhf5IZqNvmeeDTFmQbl33g0AtldjxmN7NWY4TGSvi/wQ3WGkiaGuh9oY6k1rjSX1WMz0x3BwGVkYG6mbjZA6amqGqXWibpA6opMnT7Zl9knKdde8LrVL1HZTU0SdVZ2Fj1onas84blu3bm3L1CFx3Kkn5LhJXY0Zv8/+Ue/McWC/2Vf2qf4ONZ5Zdjxel1owatXqsaLuimPCtZRpQqkF45zXGek4PgyXVGt8F5lRv2mv1JVOGlqTY8EQS7SlLHTauDqyUHZZe7MshbXOm3OfZS8kmV6Z3637McnYZZngsn7UmmjqfLNQfbxWNlYs19rEet2vdR7bxeMsjxurSbI7sh1Zm8at3Um01ovOSFfOex/3KPalvg/RRjmuN9xwQ1t++OGH2zJDxvE9n3quOK/Ul1N3y/1q586da7ad7+NQxyx198gsOyb3HOqmWea9nfcmqbuGX3rppbbMdcM6smzEpH4/hnsh7ZX7F/cuPj9Q38y5rbXv7BfnnH1idkB+//Dhw22Z77WNQheP4Jxn74rxOPtKu8zWjtRdZ3xOyUKgnonhWLkxxhhjjDELgh+ijTHGGGOMmZLByDlG7iT+WZ+uIIYnocxC6v7Jn/IDulDonqCMgW6h2rXCsC2UcDBcGiUDWeYwtr0O18R2scyQL3SP1GFpRtC9Ubtp6MKhLIXjwPrYD16XbqHahUJXEGUbmTuNMoaLLrqoLdNlU9fBkId083F8eV3OLdcMwwcxC1Z9rSxTFzN6sU+UcLCOej7orqpdg0NhZK9ZBjiu5VrqkIVc4lhk4fIyuYLUvQ9MIi1h3Tyfba9d9rSNLKNqJsvJQu3VcgrWyfWVSSfYP44Jr1O7MrOQc1m2xkwGw+P1fGRyEraXfc/CYWZh8Oq2ZBkLszCDrINzXq+XLMPiet3D82C0PimJy8aF8ggp36MoH7j55pvXvBZlfnW2Xu45WUZg3hN4D2c/ONf1/sr5OnDgwJrt5XdYN+UclCXWewbXx44dO9oyx4H7B9tOCVsmu5S6UlM+c2RSo/3797fl3bt3ay3q5x3WyXvY1Vdf3ZYpJ6WUhHIXUktqM7ntiRMn2jL3Tq4fzgHnqZa+sB8MoziJvHctFvkh2m8PGzMev+1vzHCwvRozHBydw5hNjt/2N2Y42F6NGQ6bKzrHyDWavc3LP/fTjSp13SN0EWUu0+xt4zrTH9tCNyKP03VA2QVd+JQV0H0jdd1V7BfdGJQx0IVItw5dK3XGrSyzFvub1UHXJsscw7oOjjXlFZR20L3LcyihqeeD7kC62jhumbyAWa14Pq8jdV0+2dvDbAfP4TxT/jMuA9okEoZFZOQKZl8yqUX9Vj5tjuNHdx1dpBx7uiDrcc0y07EtmVyB64Dn1JFBMklGbQ9rnZ/JGOrvZlKUTNaQReoYlwEzG6tM4pJdKzu/JpNLZJnHsnmq68giqWSRULIspJkUr75WlrFy0RndV/ft29ceu/jii9sy95Lazb99+/a2zP7zvk0X/MGDB9vytm3b2jJd+VJ3r+b+wYgK3Gt532YmvDp7LuG87tq1qy2zj7yfU5ZAmUeW6bH+He/nlEtyDVHakWVRrCVFbAvLp06dasuUfDCTIZ85KNPgfiVJKysrbZl2lWXf5XUpmxhnS9xfX3nllbbMvZ7jwDFkmzLpXg3XmDMWGmOMMcYY0xN+iDbGGGOMMWZKYtKkB/MkIha/kcb0TCll7Qwec8b2asx3Yns1ZjhMbK+llKF+HpzxcZVSDvVQR/a7jap7Pd+Ztu6NHJOsbs/5sD+LOH62mY0ZqyHZzLznfCifRR0/28ybH6uh2cw85/yMH8s5jDHGGGOMmRI/RBtjjDHGGDMlQ36IzgLVb9TxPupeT/0bWcdG1b2eOuY57ptlzofEIo6fbWYYda+n/kWd86GwqOM3pHVrm3nzda+njo0c9zMyiBcL58ghSTe67qWpe971z7vvQ2dZ527e62ZZ+z7vcR86yzx3y9r3TVf3kP8SbYwxxhhjzFzwQ7SkiPjziHg9Io7i2AWXXnrpeRFxPCK+FBHvGHeNN1H3RRHxeESsRMTzEfGrkrSysvJXTb2zrv97IuJgRDzb1P97kh6MiEsj4kBT/8MRcc4ZL7a++r8rIp6JiEcl6bHHHvtMH/U2dZ+MiOci4khEHJJ6HffzI+LTEfHPzdy/q6+6NwNr2WyPc7eWzT4YERfMuv5522vThrnY7Dzttam/Y7MPPPDAl/uY882A7bVjr33vc4u0x/Yy7k3d/djresN6bKaPpPdI2inpKI79gaSPNuWPSvr4jOreImlnU36bpBclvbPH+kPSW5vy2ZIOSPoJSX8n6a7m+J9K+pUZ1f8RSX8j6dHm517qba5/UtL3V8f6Gve/lPRLTfkcSef3Vfdm+Cyrzc7bXpvrz8Vm52mvzfVts+sfO9vrktlrc/252Wxf9jqTgRviR9IllYEfk7SlKW+RdKyndjwiadc86pd0nqTDkn5c0r9JOqs5/i5Je2ZQ34WSviLppyQ92txwZl4v6l/LwGc+7pLeLullNe8kzHvNDfWz7Dbbt702156bzc7LXptr22bf/BjaXpfIXpvrb/o91nKOnB8qpXxDkpp/f3DWFUbEJZJ2aPV/q73V37h7jkh6XdKXJH1N0hullG81p7wq6YdnUPUnJP2GpP9rfv6+nuodUSQ9FhFPR8S9zbE+xv0ySf8q6S8aN9ufRcRbeqp7M7MUNjtHe5Xma7PzslfJNjsLbK+rbFZ7lZZgj/VD9IIQEW+V9BlJv1ZK+Y8+6y6lfLuUcr1W/9f6Y5KuWeu0jawzIm6T9Hop5WkennW9Fe8upeyUtFvSfRHxnhnWRc7SqmvzT0opOyT9l1ZdS2ZAzMtm52Gv0kLY7LzsVbLNDh7b6+rhPuoGm36P9UN0zmsRsUWSmn9fn1VFEXG2Vo37r0spn+27/hGllDck/aNWNVvnR8RZza8ulPT1Da7u3ZJ+LiJOSvpbrbqbPtFDvS2llK83/74u6XNavcH1Me6vSnq1lHKg+fnTWjX43ud8k7FUNtuzvUpzttk52qtkm50FttdVNqW9Ssuxx/ohOucLku5uyndrVUe14USjKzQkAAADEUlEQVRESPqkpJVSyh/Nof4fiIjzm/K5kt4vaUXS45I+NKv6Sym/WUq5sJRyiaS7JP1DKeUXZ13viIh4S0S8bVSW9NOSjqqHcS+l/IukUxFxVXPofZJe6KPuTc6mt9l52as0X5udp71KttkZYXudYd3eY3uy140WdA/xI+khSd+Q9L9a/R/Mh7WqHfqKpOPNvxfMqO6f1Ko75auSjjSfn+2x/m2SnmnqPyrpd5rjl0k6KOmEpE9J+u4Zjv97dfrN4V7qbep5tvk8L+ljzfG+xv16rQZ//6qkz0t6R191b4bPstrsIthrU1+vNjtve23qss2uf+xsr0tkr6hn0++xzlhojDHGGGPMlFjOYYwxxhhjzJT4IdoYY4wxxpgp8UO0McYYY4wxU+KHaGOMMcYYY6bED9HGGGOMMcZMiR+il5iI+HZEHImIoxHxqYg4rzn+n82/Nza/O6f5+Uci4qWIeHtEvDci/r35/ujzfn7fGLNx2F6NGQ621+XAD9HLzTdLKdeXUn5U0v9I+mX+spRySNITkn69OfSAVmM9jlKm7m2+P/p8ubeWG7N82F6NGQ621yXgrDOfYpaEvVoNDF/zW5IOR8S3JJ1dSnmo32YZY9bA9mrMcLC9blL8EG0UEWdJ2i3p7+vflVLeiIiPS/pjSe+sfn1LRBzBzz9fSvna7FpqjLG9GjMcbK+bGz9ELzfnwkj3Svpkct5uSa9p1ciP4fjeUsptM2yfMeY0tldjhoPtdQnwQ/Ry881SyvXjToiI2yR9r6SfkfS5iNhTSvnvXlpnjCG2V2OGg+11CfCLhSYlIs6V9IeS7iulPCfpEUkfm2+rjDFrYXs1ZjjYXjcHfog24/htSZ8vpbzQ/Py7ku6KiCuan2+pQvB8qDl+XkS8is9H+m64MUuI7dWY4WB73QREKWXebTDGGGOMMWZQ+C/RxhhjjDHGTIkfoo0xxhhjjJkSP0QbY4wxxhgzJX6INsYYY4wxZkr8EG2MMcYYY8yU+CHaGGOMMcaYKfFDtDHGGGOMMVPih2hjjDHGGGOm5P8BLLq/h3iSrJ0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x181722d390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_stamps(packet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}