abwysqyPlotting.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import nmma\n",
    "import json\n",
    "import os\n",
    "import bilby\n",
    "from astropy.time import Time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: AstropyDeprecationWarning: The update_default_config function is deprecated and may be removed in a future version. [sncosmo]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Install afterglowpy if you want to timeout simulations.\n"
     ]
    }
   ],
   "source": [
    "from nmma.em.model import SimpleKilonovaLightCurveModel,GRBLightCurveModel, SVDLightCurveModel, KilonovaGRBLightCurveModel, GenericCombineLightCurveModel, SupernovaLightCurveModel, ShockCoolingLightCurveModel\n",
    "\n",
    "from nmma.em.injection import create_light_curve_data as cld"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def luminosity(distance, mag):\n",
    "    \"\"\"\n",
    "    Calculate the luminosity of a source given its distance and apparent magnitude.\n",
    "    Parameters\n",
    "    \"\"\"\n",
    "    return mag + 5 * np.log10(distance * 1e6 /10.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>t</th>\n",
       "      <th>filter</th>\n",
       "      <th>mag</th>\n",
       "      <th>mag_unc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6.132072</td>\n",
       "      <td>i</td>\n",
       "      <td>20.193004</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6.181840</td>\n",
       "      <td>r</td>\n",
       "      <td>20.265292</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6.268993</td>\n",
       "      <td>g</td>\n",
       "      <td>20.107244</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7.218819</td>\n",
       "      <td>r</td>\n",
       "      <td>19.833552</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.283854</td>\n",
       "      <td>g</td>\n",
       "      <td>19.838025</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>8.166944</td>\n",
       "      <td>g</td>\n",
       "      <td>19.909915</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>8.260023</td>\n",
       "      <td>r</td>\n",
       "      <td>20.097329</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-6.742778</td>\n",
       "      <td>g</td>\n",
       "      <td>21.236449</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-5.762164</td>\n",
       "      <td>r</td>\n",
       "      <td>21.351784</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-5.720660</td>\n",
       "      <td>g</td>\n",
       "      <td>21.167371</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>-4.764120</td>\n",
       "      <td>g</td>\n",
       "      <td>21.180558</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-4.718461</td>\n",
       "      <td>r</td>\n",
       "      <td>20.955167</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-2.747222</td>\n",
       "      <td>g</td>\n",
       "      <td>21.458067</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>-2.698681</td>\n",
       "      <td>r</td>\n",
       "      <td>21.294961</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-1.805926</td>\n",
       "      <td>g</td>\n",
       "      <td>21.504709</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-1.719607</td>\n",
       "      <td>r</td>\n",
       "      <td>21.464911</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-0.786273</td>\n",
       "      <td>r</td>\n",
       "      <td>21.334000</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-0.717732</td>\n",
       "      <td>g</td>\n",
       "      <td>21.314693</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.211238</td>\n",
       "      <td>g</td>\n",
       "      <td>20.862715</td>\n",
       "      <td>0.047844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.230729</td>\n",
       "      <td>r</td>\n",
       "      <td>20.691733</td>\n",
       "      <td>0.050319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.277755</td>\n",
       "      <td>g</td>\n",
       "      <td>20.957405</td>\n",
       "      <td>0.168099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1.146597</td>\n",
       "      <td>g</td>\n",
       "      <td>22.752642</td>\n",
       "      <td>0.264949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1.216481</td>\n",
       "      <td>r</td>\n",
       "      <td>21.307290</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1.288750</td>\n",
       "      <td>g</td>\n",
       "      <td>21.214577</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2.242153</td>\n",
       "      <td>r</td>\n",
       "      <td>21.287643</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>3.231771</td>\n",
       "      <td>g</td>\n",
       "      <td>21.472650</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>3.254398</td>\n",
       "      <td>r</td>\n",
       "      <td>21.243464</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>4.258843</td>\n",
       "      <td>g</td>\n",
       "      <td>21.329475</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>4.277882</td>\n",
       "      <td>r</td>\n",
       "      <td>21.476607</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           t filter        mag   mag_unc\n",
       "0   6.132072      i  20.193004       inf\n",
       "1   6.181840      r  20.265292       inf\n",
       "2   6.268993      g  20.107244       inf\n",
       "3   7.218819      r  19.833552       inf\n",
       "4   7.283854      g  19.838025       inf\n",
       "5   8.166944      g  19.909915       inf\n",
       "6   8.260023      r  20.097329       inf\n",
       "7  -6.742778      g  21.236449       inf\n",
       "8  -5.762164      r  21.351784       inf\n",
       "9  -5.720660      g  21.167371       inf\n",
       "10 -4.764120      g  21.180558       inf\n",
       "11 -4.718461      r  20.955167       inf\n",
       "12 -2.747222      g  21.458067       inf\n",
       "13 -2.698681      r  21.294961       inf\n",
       "14 -1.805926      g  21.504709       inf\n",
       "15 -1.719607      r  21.464911       inf\n",
       "16 -0.786273      r  21.334000       inf\n",
       "17 -0.717732      g  21.314693       inf\n",
       "18  0.211238      g  20.862715  0.047844\n",
       "19  0.230729      r  20.691733  0.050319\n",
       "20  0.277755      g  20.957405  0.168099\n",
       "21  1.146597      g  22.752642  0.264949\n",
       "22  1.216481      r  21.307290       inf\n",
       "23  1.288750      g  21.214577       inf\n",
       "24  2.242153      r  21.287643       inf\n",
       "25  3.231771      g  21.472650       inf\n",
       "26  3.254398      r  21.243464       inf\n",
       "27  4.258843      g  21.329475       inf\n",
       "28  4.277882      r  21.476607       inf"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lcPath = './candidate_data/paper_candidates/v2/candidate_data/ZTF20abwysqyForced.dat'\n",
    "df = pd.read_csv(lcPath, sep=' ', header=None, names=['t', 'filter', 'mag', 'mag_unc'])\n",
    "\n",
    "trigger_time = 59087.18740740741\n",
    "df['t'] = Time(pd.to_datetime(df['t'])).mjd\n",
    "df['t'] = df['t'] - trigger_time\n",
    "\n",
    "display(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "snPath = './outdir/abwysqyForced_nugent-hyper/abwysqyForced_nugent-hyper_result.json'\n",
    "grbPath = './outdir/abwysqyForced_TrPi2018/abwysqyForced_TrPi2018_result.json'\n",
    "knPath = './outdir/abwysqyForced_Bu2019lm/abwysqyForced_Bu2019lm_result.json'\n",
    "with open(snPath,\"r\") as f:\n",
    "    snResults = json.load(f, object_hook=bilby.core.utils.decode_bilby_json)\n",
    "with open (grbPath,\"r\") as f:\n",
    "    grbResults = json.load(f, object_hook=bilby.core.utils.decode_bilby_json)\n",
    "with open (knPath,\"r\") as f:\n",
    "    knResults = json.load(f, object_hook=bilby.core.utils.decode_bilby_json)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>luminosity_distance</th>\n",
       "      <th>inclination_EM</th>\n",
       "      <th>log10_E0</th>\n",
       "      <th>thetaCore</th>\n",
       "      <th>thetaWing</th>\n",
       "      <th>log10_n0</th>\n",
       "      <th>p</th>\n",
       "      <th>log10_epsilon_e</th>\n",
       "      <th>log10_epsilon_B</th>\n",
       "      <th>Ebv</th>\n",
       "      <th>KNtimeshift</th>\n",
       "      <th>ksiN</th>\n",
       "      <th>L0</th>\n",
       "      <th>dL</th>\n",
       "      <th>b</th>\n",
       "      <th>q</th>\n",
       "      <th>ts</th>\n",
       "      <th>log_likelihood</th>\n",
       "      <th>log_prior</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>760.890835</td>\n",
       "      <td>0.655995</td>\n",
       "      <td>51.730769</td>\n",
       "      <td>0.311806</td>\n",
       "      <td>0.578721</td>\n",
       "      <td>-0.782234</td>\n",
       "      <td>2.913166</td>\n",
       "      <td>-0.152170</td>\n",
       "      <td>-1.858222</td>\n",
       "      <td>0.410458</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.090000e+19</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-9.647628</td>\n",
       "      <td>-15.050239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>452.559116</td>\n",
       "      <td>0.623241</td>\n",
       "      <td>52.508718</td>\n",
       "      <td>0.327808</td>\n",
       "      <td>0.734971</td>\n",
       "      <td>-2.467347</td>\n",
       "      <td>2.377148</td>\n",
       "      <td>-1.627941</td>\n",
       "      <td>-1.975409</td>\n",
       "      <td>0.427928</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.090000e+19</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-8.899586</td>\n",
       "      <td>-15.208432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2543.450563</td>\n",
       "      <td>0.868613</td>\n",
       "      <td>52.741117</td>\n",
       "      <td>0.365214</td>\n",
       "      <td>1.095788</td>\n",
       "      <td>-0.374173</td>\n",
       "      <td>2.804276</td>\n",
       "      <td>-0.070324</td>\n",
       "      <td>-2.670773</td>\n",
       "      <td>0.351564</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.090000e+19</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-7.624298</td>\n",
       "      <td>-14.515607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4998.930076</td>\n",
       "      <td>0.746411</td>\n",
       "      <td>52.286948</td>\n",
       "      <td>0.341336</td>\n",
       "      <td>1.301897</td>\n",
       "      <td>-2.508060</td>\n",
       "      <td>2.289664</td>\n",
       "      <td>-0.654658</td>\n",
       "      <td>-1.096161</td>\n",
       "      <td>0.002701</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.090000e+19</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-7.187254</td>\n",
       "      <td>-13.685111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2291.400043</td>\n",
       "      <td>0.489612</td>\n",
       "      <td>51.021412</td>\n",
       "      <td>0.462575</td>\n",
       "      <td>1.065735</td>\n",
       "      <td>-0.647358</td>\n",
       "      <td>2.386646</td>\n",
       "      <td>-0.253448</td>\n",
       "      <td>-0.977212</td>\n",
       "      <td>0.254554</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.090000e+19</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-7.101028</td>\n",
       "      <td>-14.635949</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>373</th>\n",
       "      <td>1965.116307</td>\n",
       "      <td>0.381917</td>\n",
       "      <td>51.513709</td>\n",
       "      <td>0.299556</td>\n",
       "      <td>1.140804</td>\n",
       "      <td>-1.272135</td>\n",
       "      <td>2.644654</td>\n",
       "      <td>-0.596440</td>\n",
       "      <td>-1.468649</td>\n",
       "      <td>0.371403</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.090000e+19</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-4.096546</td>\n",
       "      <td>-15.326787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>374</th>\n",
       "      <td>4294.374224</td>\n",
       "      <td>0.292769</td>\n",
       "      <td>51.971602</td>\n",
       "      <td>0.297630</td>\n",
       "      <td>0.488789</td>\n",
       "      <td>-0.702897</td>\n",
       "      <td>2.261428</td>\n",
       "      <td>-0.623656</td>\n",
       "      <td>-1.793515</td>\n",
       "      <td>0.256699</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.090000e+19</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-4.048587</td>\n",
       "      <td>-15.130998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>3749.242207</td>\n",
       "      <td>0.392440</td>\n",
       "      <td>52.497250</td>\n",
       "      <td>0.182474</td>\n",
       "      <td>0.863106</td>\n",
       "      <td>-1.551302</td>\n",
       "      <td>2.574560</td>\n",
       "      <td>-0.638874</td>\n",
       "      <td>-1.537252</td>\n",
       "      <td>0.145955</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.090000e+19</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-3.990170</td>\n",
       "      <td>-14.548786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>4061.615067</td>\n",
       "      <td>0.276128</td>\n",
       "      <td>52.273153</td>\n",
       "      <td>0.288549</td>\n",
       "      <td>0.826688</td>\n",
       "      <td>-3.005089</td>\n",
       "      <td>2.783521</td>\n",
       "      <td>-0.357209</td>\n",
       "      <td>-2.223391</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.090000e+19</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-3.916825</td>\n",
       "      <td>-14.786370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>3240.024590</td>\n",
       "      <td>0.249305</td>\n",
       "      <td>52.214400</td>\n",
       "      <td>0.225791</td>\n",
       "      <td>0.292136</td>\n",
       "      <td>-1.674389</td>\n",
       "      <td>2.295270</td>\n",
       "      <td>-0.987264</td>\n",
       "      <td>-1.265929</td>\n",
       "      <td>0.263585</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.090000e+19</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-3.982344</td>\n",
       "      <td>-15.309811</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>378 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     luminosity_distance  inclination_EM   log10_E0  thetaCore  thetaWing  \\\n",
       "0             760.890835        0.655995  51.730769   0.311806   0.578721   \n",
       "1             452.559116        0.623241  52.508718   0.327808   0.734971   \n",
       "2            2543.450563        0.868613  52.741117   0.365214   1.095788   \n",
       "3            4998.930076        0.746411  52.286948   0.341336   1.301897   \n",
       "4            2291.400043        0.489612  51.021412   0.462575   1.065735   \n",
       "..                   ...             ...        ...        ...        ...   \n",
       "373          1965.116307        0.381917  51.513709   0.299556   1.140804   \n",
       "374          4294.374224        0.292769  51.971602   0.297630   0.488789   \n",
       "375          3749.242207        0.392440  52.497250   0.182474   0.863106   \n",
       "376          4061.615067        0.276128  52.273153   0.288549   0.826688   \n",
       "377          3240.024590        0.249305  52.214400   0.225791   0.292136   \n",
       "\n",
       "     log10_n0         p  log10_epsilon_e  log10_epsilon_B       Ebv  \\\n",
       "0   -0.782234  2.913166        -0.152170        -1.858222  0.410458   \n",
       "1   -2.467347  2.377148        -1.627941        -1.975409  0.427928   \n",
       "2   -0.374173  2.804276        -0.070324        -2.670773  0.351564   \n",
       "3   -2.508060  2.289664        -0.654658        -1.096161  0.002701   \n",
       "4   -0.647358  2.386646        -0.253448        -0.977212  0.254554   \n",
       "..        ...       ...              ...              ...       ...   \n",
       "373 -1.272135  2.644654        -0.596440        -1.468649  0.371403   \n",
       "374 -0.702897  2.261428        -0.623656        -1.793515  0.256699   \n",
       "375 -1.551302  2.574560        -0.638874        -1.537252  0.145955   \n",
       "376 -3.005089  2.783521        -0.357209        -2.223391  0.100694   \n",
       "377 -1.674389  2.295270        -0.987264        -1.265929  0.263585   \n",
       "\n",
       "     KNtimeshift  ksiN   L0            dL    b    q   ts  log_likelihood  \\\n",
       "0            0.0   1.0  0.0  3.090000e+19  6.0  0.0  0.0       -9.647628   \n",
       "1            0.0   1.0  0.0  3.090000e+19  6.0  0.0  0.0       -8.899586   \n",
       "2            0.0   1.0  0.0  3.090000e+19  6.0  0.0  0.0       -7.624298   \n",
       "3            0.0   1.0  0.0  3.090000e+19  6.0  0.0  0.0       -7.187254   \n",
       "4            0.0   1.0  0.0  3.090000e+19  6.0  0.0  0.0       -7.101028   \n",
       "..           ...   ...  ...           ...  ...  ...  ...             ...   \n",
       "373          0.0   1.0  0.0  3.090000e+19  6.0  0.0  0.0       -4.096546   \n",
       "374          0.0   1.0  0.0  3.090000e+19  6.0  0.0  0.0       -4.048587   \n",
       "375          0.0   1.0  0.0  3.090000e+19  6.0  0.0  0.0       -3.990170   \n",
       "376          0.0   1.0  0.0  3.090000e+19  6.0  0.0  0.0       -3.916825   \n",
       "377          0.0   1.0  0.0  3.090000e+19  6.0  0.0  0.0       -3.982344   \n",
       "\n",
       "     log_prior  \n",
       "0   -15.050239  \n",
       "1   -15.208432  \n",
       "2   -14.515607  \n",
       "3   -13.685111  \n",
       "4   -14.635949  \n",
       "..         ...  \n",
       "373 -15.326787  \n",
       "374 -15.130998  \n",
       "375 -14.548786  \n",
       "376 -14.786370  \n",
       "377 -15.309811  \n",
       "\n",
       "[378 rows x 19 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>luminosity_distance</th>\n",
       "      <th>inclination_EM</th>\n",
       "      <th>supernova_mag_boost</th>\n",
       "      <th>Ebv</th>\n",
       "      <th>KNtimeshift</th>\n",
       "      <th>log_likelihood</th>\n",
       "      <th>log_prior</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>616.002254</td>\n",
       "      <td>0.762780</td>\n",
       "      <td>0.511859</td>\n",
       "      <td>0.475030</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-31.114755</td>\n",
       "      <td>-12.739363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>373.597295</td>\n",
       "      <td>0.492356</td>\n",
       "      <td>-0.090554</td>\n",
       "      <td>0.387833</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-29.637353</td>\n",
       "      <td>-12.479449</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2008.952051</td>\n",
       "      <td>0.409785</td>\n",
       "      <td>-3.885756</td>\n",
       "      <td>0.332669</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-29.487377</td>\n",
       "      <td>-12.388921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1666.589790</td>\n",
       "      <td>0.690801</td>\n",
       "      <td>-3.716725</td>\n",
       "      <td>0.510697</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-29.209650</td>\n",
       "      <td>-13.276577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1118.940203</td>\n",
       "      <td>0.550216</td>\n",
       "      <td>-0.211497</td>\n",
       "      <td>0.213183</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-29.206197</td>\n",
       "      <td>-11.712666</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>528</th>\n",
       "      <td>314.636440</td>\n",
       "      <td>0.547612</td>\n",
       "      <td>1.738006</td>\n",
       "      <td>0.220952</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-23.636908</td>\n",
       "      <td>-11.738787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>529</th>\n",
       "      <td>448.486514</td>\n",
       "      <td>0.704775</td>\n",
       "      <td>1.495368</td>\n",
       "      <td>0.107701</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-23.669146</td>\n",
       "      <td>-11.240859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>530</th>\n",
       "      <td>355.205682</td>\n",
       "      <td>0.611234</td>\n",
       "      <td>1.694362</td>\n",
       "      <td>0.104017</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-23.459699</td>\n",
       "      <td>-11.354222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>531</th>\n",
       "      <td>543.365400</td>\n",
       "      <td>0.554839</td>\n",
       "      <td>1.147343</td>\n",
       "      <td>0.014083</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-23.508906</td>\n",
       "      <td>-11.264167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>327.826409</td>\n",
       "      <td>0.544062</td>\n",
       "      <td>2.179875</td>\n",
       "      <td>0.061310</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-23.242771</td>\n",
       "      <td>-11.370149</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>533 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     luminosity_distance  inclination_EM  supernova_mag_boost       Ebv  \\\n",
       "0             616.002254        0.762780             0.511859  0.475030   \n",
       "1             373.597295        0.492356            -0.090554  0.387833   \n",
       "2            2008.952051        0.409785            -3.885756  0.332669   \n",
       "3            1666.589790        0.690801            -3.716725  0.510697   \n",
       "4            1118.940203        0.550216            -0.211497  0.213183   \n",
       "..                   ...             ...                  ...       ...   \n",
       "528           314.636440        0.547612             1.738006  0.220952   \n",
       "529           448.486514        0.704775             1.495368  0.107701   \n",
       "530           355.205682        0.611234             1.694362  0.104017   \n",
       "531           543.365400        0.554839             1.147343  0.014083   \n",
       "532           327.826409        0.544062             2.179875  0.061310   \n",
       "\n",
       "     KNtimeshift  log_likelihood  log_prior  \n",
       "0            0.0      -31.114755 -12.739363  \n",
       "1            0.0      -29.637353 -12.479449  \n",
       "2            0.0      -29.487377 -12.388921  \n",
       "3            0.0      -29.209650 -13.276577  \n",
       "4            0.0      -29.206197 -11.712666  \n",
       "..           ...             ...        ...  \n",
       "528          0.0      -23.636908 -11.738787  \n",
       "529          0.0      -23.669146 -11.240859  \n",
       "530          0.0      -23.459699 -11.354222  \n",
       "531          0.0      -23.508906 -11.264167  \n",
       "532          0.0      -23.242771 -11.370149  \n",
       "\n",
       "[533 rows x 7 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(grbResults['posterior'])\n",
    "display(snResults['posterior'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "sample_times = np.arange(.01, 14, 0.1)\n",
    "snModel = SupernovaLightCurveModel(sample_times=sample_times, model='nugent-hyper')\n",
    "grbModel = GRBLightCurveModel(sample_times=sample_times, model='TrPi2018')\n",
    "#knModel = SimpleKilonovaLightCurveModel(sample_times=sample_times, model='Bu2019lm')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'luminosity_distance': 6107.680232259461,\n",
       " 'inclination_EM': 0.4121889774609426,\n",
       " 'log10_E0': 51.493170167061805,\n",
       " 'thetaCore': 0.2825151063823694,\n",
       " 'thetaWing': 1.3331687813736817,\n",
       " 'log10_n0': -2.4853228212943907,\n",
       " 'p': 2.699204140879088,\n",
       " 'log10_epsilon_e': -0.48035726712188165,\n",
       " 'log10_epsilon_B': -0.4547690550944097,\n",
       " 'Ebv': 0.039994434999567216,\n",
       " 'KNtimeshift': 0.0,\n",
       " 'ksiN': 1.0,\n",
       " 'L0': 0.0,\n",
       " 'dL': 3.09e+19,\n",
       " 'b': 6.0,\n",
       " 'q': 0.0,\n",
       " 'ts': 0.0,\n",
       " 'log_likelihood': -3.880255825864674,\n",
       " 'log_prior': -14.28044277377127}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "37\n",
      "1702.9384513546534\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'luminosity_distance': 207.3462779727329,\n",
       " 'inclination_EM': 0.30038238410302687,\n",
       " 'supernova_mag_boost': 3.290406201308125,\n",
       " 'Ebv': 0.04033441497056813,\n",
       " 'KNtimeshift': 0.0,\n",
       " 'log_likelihood': -23.047599097630624,\n",
       " 'log_prior': -11.889187331351204}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "53\n",
      "102.51518370399762\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'luminosity_distance': 104.53586482079278,\n",
       " 'KNphi': 71.57308597747505,\n",
       " 'inclination_EM': 0.35860477669152385,\n",
       " 'log10_mej_dyn': -2.99343944513279,\n",
       " 'log10_mej_wind': -0.794702885034817,\n",
       " 'Ebv': 0.5540176284409394,\n",
       " 'KNtimeshift': 0.0,\n",
       " 'log_likelihood': -6.352313788458327,\n",
       " 'log_prior': -14.929688446082189}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "76"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "16.409067798877405\n"
     ]
    }
   ],
   "source": [
    "grb_df = pd.DataFrame(grbResults['posterior'])\n",
    "grb_df_sorted = grb_df.sort_values(by=['log_likelihood'], ascending=False, ignore_index=True)\n",
    "grb_bf = grb_df_sorted.iloc[0].to_dict()\n",
    "display(grb_bf)\n",
    "grb_tp = int(grb_df_sorted.shape[0] *1e-1) #top 10% index\n",
    "print(grb_tp)\n",
    "grb_var = grb_df_sorted['luminosity_distance'][0:grb_tp].std()\n",
    "print(grb_var)\n",
    "\n",
    "print()\n",
    "sn_df = pd.DataFrame(snResults['posterior'])\n",
    "sn_df_sorted = sn_df.sort_values(by=['log_likelihood'], ascending=False, ignore_index=True)\n",
    "sn_bf = sn_df_sorted.iloc[0].to_dict()\n",
    "display(sn_bf)\n",
    "sn_tp = int(sn_df_sorted.shape[0] *1e-1)\n",
    "print(sn_tp)\n",
    "sn_var = sn_df_sorted['luminosity_distance'][0:sn_tp].std()\n",
    "print(sn_var)\n",
    "\n",
    "print()\n",
    "kn_df = pd.DataFrame(knResults['posterior'])\n",
    "kn_df_sorted = kn_df.sort_values(by=['log_likelihood'], ascending=False, ignore_index=True)\n",
    "kn_bf = kn_df_sorted.iloc[0].to_dict()\n",
    "display(kn_bf)\n",
    "kn_tp = int(kn_df_sorted.shape[0] *1e-1)\n",
    "display(kn_tp)\n",
    "kn_var = kn_df_sorted['luminosity_distance'][0:kn_tp].std()\n",
    "print(kn_var)\n",
    "\n",
    "\n",
    "# grb_llq = grb_df.quantile([0.50], axis=0 )['log_likelihood']\n",
    "# #display(grb_llq)\n",
    "# ## locate where these quantiles occur and return the 3 rows as a dataframe\n",
    "# grb_lc_params = grb_df[grb_df['log_likelihood'].isin(grb_llq)].to_dict('list')\n",
    "# grb_lc_params = [dict(zip(grb_lc_params, t)) for t in zip(*grb_lc_params.values())]\n",
    "# display(grb_lc_params)\n",
    "\n",
    "# sn_df = pd.DataFrame(snResults['posterior'])\n",
    "# sn_llq = sn_df.quantile([0.5,0.99], axis=0 )['log_likelihood']\n",
    "# #display(sn_llq)\n",
    "# sn_lc_params = sn_df[sn_df['log_likelihood'].isin(sn_llq)][1:3].to_dict('list')\n",
    "# sn_lc_params = [dict(zip(sn_lc_params, t)) for t in zip(*sn_lc_params.values())]\n",
    "# display(sn_lc_params)\n",
    "# #display(sn_df['log_likelihood'].isin(sn_llq)[sn_df['log_likelihood'].isin(sn_llq)].index)\n",
    "# #display(grb_df['log_likelihood'].isin(grb_llq)[grb_df['log_likelihood'].isin(grb_llq)].index)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "#quantiles = lambda x: \n",
    "# grb_lc_params = [\n",
    "#     {key: np.quantile(value, q) for key, value in grbResults['posterior'].items()}\n",
    "#     for q in [0.16, 0.5, 0.84]\n",
    "# ]\n",
    "#display(grb_lc_params)\n",
    "# sn_lc_params = [\n",
    "#     {key: np.quantile(value, q) for key, value in snResults['posterior'].items()}\n",
    "#     for q in [0.16, 0.5, 0.84]\n",
    "# ]\n",
    "# sn16, sn50, sn84 = (snModel.generate_lightcurve(sample_times=sample_times,parameters=sn_lc_params[0]), \n",
    "#                     snModel.generate_lightcurve(sample_times=sample_times,parameters=sn_lc_params[1]), \n",
    "#                     snModel.generate_lightcurve(sample_times=sample_times,parameters=sn_lc_params[2]))\n",
    "\n",
    "# grb16, grb50, grb84 = (grbModel.generate_lightcurve(sample_times=sample_times,parameters=grb_lc_params[0]),\n",
    "#                        grbModel.generate_lightcurve(sample_times=sample_times,parameters=grb_lc_params[1]),\n",
    "#                        grbModel.generate_lightcurve(sample_times=sample_times,parameters=grb_lc_params[2]))\n",
    "\n",
    "\n",
    "## injection.py shows how to do the absolute (this is currently absolute mag) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# grb50 = grbModel.generate_lightcurve(sample_times=sample_times,parameters=grb_lc_params[0])\n",
    "# grb99 = grbModel.generate_lightcurve(sample_times=sample_times,parameters=grb_lc_params[1])\n",
    "# sn50 = snModel.generate_lightcurve(sample_times=sample_times,parameters=sn_lc_params[0])\n",
    "# sn99 = snModel.generate_lightcurve(sample_times=sample_times,parameters=sn_lc_params[1])\n",
    "grb_blc = grbModel.generate_lightcurve(sample_times=sample_times,parameters=grb_bf)\n",
    "sn_blc = snModel.generate_lightcurve(sample_times=sample_times,parameters=sn_bf)\n",
    "#kn_blc = knModel.generate_lightcurve(sample_times=sample_times,parameters=kn_bf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
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     },
     "execution_count": 69,
     "metadata": {},
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   ],
   "source": [
    "cp = sns.color_palette(\"colorblind\")\n",
    "cp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
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",
      "text/plain": [
       "<Figure size 1000x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig, axs = plt.subplots(3,1,figsize=(10, 15),sharex=True, sharey=True, facecolor='w')\n",
    "filters = ['i', 'r', 'g']\n",
    "\n",
    "for i, filter in enumerate(filters):\n",
    "    grb_dist = grb_bf[\"luminosity_distance\"]\n",
    "    \n",
    "    ax = axs[i]\n",
    "    ax.set_ylabel(f'{filter}',rotation=0, labelpad=12, fontsize=16)\n",
    "    \n",
    "    ##supernova model\n",
    "    sn_dist = sn_bf[\"luminosity_distance\"]\n",
    "    sn_lcc = luminosity(sn_dist, sn_blc[1][filter])\n",
    "    sn_lcc_lower = luminosity(sn_dist+sn_var, sn_blc[1][filter])\n",
    "    sn_lcc_upper = luminosity(sn_dist-sn_var, sn_blc[1][filter])\n",
    "    ax.fill_between(sample_times, sn_lcc_lower, sn_lcc_upper, color=cp[3], alpha=0.3, label='Supernova')\n",
    "    ax.plot(sample_times, sn_lcc, color=cp[3], linestyle='--')\n",
    "    \n",
    "    \n",
    "    #grb_lc_lower = grb16[1][filter] +5 * np.log10(grb_lc_params[0][\"luminosity_distance\"] * 1e6 / 10.0)\n",
    "    grb_lcc = luminosity(grb_dist, grb_blc[1][filter])\n",
    "    grb_lcc_lower = luminosity(grb_dist+grb_var, grb_blc[1][filter])\n",
    "    grb_lcc_upper = luminosity(grb_dist-grb_var, grb_blc[1][filter])\n",
    "    ax.fill_between(sample_times, grb_lcc_lower, grb_lcc_upper, color=cp[2], alpha=0.3, label='GRB Afterglow')\n",
    "    ax.plot(sample_times, grb_lcc, color=cp[2], linestyle='--')\n",
    "    \n",
    "\n",
    "    \n",
    "    try:\n",
    "        detections = df[(df['filter'] == filter) & (df['mag_unc'] != np.inf)]\n",
    "    except:\n",
    "        detections = None\n",
    "    try:\n",
    "        non_detections = df[(df['filter'] == filter) & (df['mag_unc'] == np.inf)]\n",
    "    except:\n",
    "        non_detections = None\n",
    "    #non_detections = df[(df['filter'] == filter) & (df['mag_unc'] is np.inf)]\n",
    "    #display(detections)\n",
    "    \n",
    "    try: \n",
    "        ax.errorbar(detections['t'], detections['mag'], yerr=detections['mag_unc'], fmt='o', color='k') \n",
    "    except: \n",
    "        None\n",
    "    try: \n",
    "        ax.scatter(non_detections['t'], non_detections['mag'], marker='v', color='k',zorder=10) \n",
    "    except: \n",
    "        None\n",
    "    ax.invert_yaxis()\n",
    "    ax.set_ylim(28, 19)\n",
    "    ax.set_xlim(-0.01,10)\n",
    "    axs[0].legend(loc='center right', fontsize=12)\n",
    "    ax.grid(alpha=0.5)\n",
    "    axs[2].set_xlabel('Time [days]', fontsize=16)\n",
    "\n",
    "#plt.savefig('outdir/ZTF20abwysqyModels.png', dpi=300, bbox_inches='tight')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Bonus: abotose Plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>luminosity_distance</th>\n",
       "      <th>KNphi</th>\n",
       "      <th>inclination_EM</th>\n",
       "      <th>KNtimeshift</th>\n",
       "      <th>log10_mej_dyn</th>\n",
       "      <th>log10_mej_wind</th>\n",
       "      <th>Ebv</th>\n",
       "      <th>log_likelihood</th>\n",
       "      <th>log_prior</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>69.250948</td>\n",
       "      <td>22.508269</td>\n",
       "      <td>1.019874</td>\n",
       "      <td>-0.001165</td>\n",
       "      <td>-2.480599</td>\n",
       "      <td>-1.201777</td>\n",
       "      <td>0.256176</td>\n",
       "      <td>-28.533520</td>\n",
       "      <td>-12.296302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>56.813128</td>\n",
       "      <td>26.085830</td>\n",
       "      <td>1.156671</td>\n",
       "      <td>-0.750125</td>\n",
       "      <td>-2.483907</td>\n",
       "      <td>-1.051137</td>\n",
       "      <td>0.297216</td>\n",
       "      <td>-28.022843</td>\n",
       "      <td>-12.363512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>94.245550</td>\n",
       "      <td>28.622228</td>\n",
       "      <td>0.919767</td>\n",
       "      <td>-0.536340</td>\n",
       "      <td>-1.889418</td>\n",
       "      <td>-0.719191</td>\n",
       "      <td>0.002185</td>\n",
       "      <td>-27.575770</td>\n",
       "      <td>-11.775453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>29.419825</td>\n",
       "      <td>70.535057</td>\n",
       "      <td>1.327650</td>\n",
       "      <td>-1.163903</td>\n",
       "      <td>-2.948130</td>\n",
       "      <td>-0.723462</td>\n",
       "      <td>0.149628</td>\n",
       "      <td>-27.355402</td>\n",
       "      <td>-11.875657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>36.246657</td>\n",
       "      <td>31.666576</td>\n",
       "      <td>1.544839</td>\n",
       "      <td>0.375651</td>\n",
       "      <td>-2.494681</td>\n",
       "      <td>-0.716019</td>\n",
       "      <td>0.249727</td>\n",
       "      <td>-27.330487</td>\n",
       "      <td>-12.116331</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   luminosity_distance      KNphi  inclination_EM  KNtimeshift  log10_mej_dyn  \\\n",
       "0            69.250948  22.508269        1.019874    -0.001165      -2.480599   \n",
       "1            56.813128  26.085830        1.156671    -0.750125      -2.483907   \n",
       "2            94.245550  28.622228        0.919767    -0.536340      -1.889418   \n",
       "3            29.419825  70.535057        1.327650    -1.163903      -2.948130   \n",
       "4            36.246657  31.666576        1.544839     0.375651      -2.494681   \n",
       "\n",
       "   log10_mej_wind       Ebv  log_likelihood  log_prior  \n",
       "0       -1.201777  0.256176      -28.533520 -12.296302  \n",
       "1       -1.051137  0.297216      -28.022843 -12.363512  \n",
       "2       -0.719191  0.002185      -27.575770 -11.775453  \n",
       "3       -0.723462  0.149628      -27.355402 -11.875657  \n",
       "4       -0.716019  0.249727      -27.330487 -12.116331  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>luminosity_distance</th>\n",
       "      <th>KNtimeshift</th>\n",
       "      <th>log10_Menv</th>\n",
       "      <th>log10_Renv</th>\n",
       "      <th>log10_Ee</th>\n",
       "      <th>Ebv</th>\n",
       "      <th>log_likelihood</th>\n",
       "      <th>log_prior</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>197.698287</td>\n",
       "      <td>-0.994015</td>\n",
       "      <td>-0.471255</td>\n",
       "      <td>14.909665</td>\n",
       "      <td>50.401488</td>\n",
       "      <td>0.107041</td>\n",
       "      <td>-25.979932</td>\n",
       "      <td>-11.385180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>70.736631</td>\n",
       "      <td>-0.466982</td>\n",
       "      <td>-0.855127</td>\n",
       "      <td>14.857667</td>\n",
       "      <td>48.743511</td>\n",
       "      <td>0.340895</td>\n",
       "      <td>-24.741710</td>\n",
       "      <td>-12.083389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>104.150282</td>\n",
       "      <td>-0.254256</td>\n",
       "      <td>-0.618159</td>\n",
       "      <td>13.268225</td>\n",
       "      <td>51.214574</td>\n",
       "      <td>0.380803</td>\n",
       "      <td>-24.683359</td>\n",
       "      <td>-12.272594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>86.078779</td>\n",
       "      <td>-0.964095</td>\n",
       "      <td>-0.172843</td>\n",
       "      <td>12.080185</td>\n",
       "      <td>51.808825</td>\n",
       "      <td>0.057164</td>\n",
       "      <td>-24.508868</td>\n",
       "      <td>-11.283365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>15.431562</td>\n",
       "      <td>-1.166667</td>\n",
       "      <td>-1.135450</td>\n",
       "      <td>13.228110</td>\n",
       "      <td>47.584402</td>\n",
       "      <td>0.231221</td>\n",
       "      <td>-24.349859</td>\n",
       "      <td>-11.695581</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   luminosity_distance  KNtimeshift  log10_Menv  log10_Renv   log10_Ee  \\\n",
       "0           197.698287    -0.994015   -0.471255   14.909665  50.401488   \n",
       "1            70.736631    -0.466982   -0.855127   14.857667  48.743511   \n",
       "2           104.150282    -0.254256   -0.618159   13.268225  51.214574   \n",
       "3            86.078779    -0.964095   -0.172843   12.080185  51.808825   \n",
       "4            15.431562    -1.166667   -1.135450   13.228110  47.584402   \n",
       "\n",
       "        Ebv  log_likelihood  log_prior  \n",
       "0  0.107041      -25.979932 -11.385180  \n",
       "1  0.340895      -24.741710 -12.083389  \n",
       "2  0.380803      -24.683359 -12.272594  \n",
       "3  0.057164      -24.508868 -11.283365  \n",
       "4  0.231221      -24.349859 -11.695581  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "knPath = './candidate_data/paper_candidates/v1/ZTF21abotose/Bu2019lm_result.json'\n",
    "scPath = './candidate_data/paper_candidates/v1/ZTF21abotose/Piro2021_result.json'\n",
    "\n",
    "with open(knPath) as f:\n",
    "    knResults = json.load(f, object_hook=bilby.core.utils.decode_bilby_json)\n",
    "kn_df= pd.DataFrame(knResults['posterior'])\n",
    "display(kn_df.head())\n",
    "with open(scPath) as f:\n",
    "    scResults = json.load(f, object_hook=bilby.core.utils.decode_bilby_json)\n",
    "sc_df = pd.DataFrame(scResults['posterior'])\n",
    "display(sc_df.head())\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tyler/anaconda3/envs/nmma/lib/python3.8/site-packages/sklearn/base.py:329: UserWarning: Trying to unpickle estimator GaussianProcessRegressor from version 0.23.1 when using version 1.0.2. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:\n",
      "https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "sample_times = np.arange(.01, 10, 0.1)\n",
    "knModel = SVDLightCurveModel(sample_times=sample_times, model='Bu2019lm')\n",
    "scModel = ShockCoolingLightCurveModel(sample_times=sample_times, model='Piro2021',)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14.368524140443988\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'luminosity_distance': 51.03706790816916,\n",
       " 'KNtimeshift': -1.898826243392744,\n",
       " 'log10_Menv': -1.1804169192725071,\n",
       " 'log10_Renv': 14.091426978220587,\n",
       " 'log10_Ee': 49.06858656760334,\n",
       " 'Ebv': 0.3061493748368687,\n",
       " 'log_likelihood': -17.529223428122894,\n",
       " 'log_prior': -11.943551767615473}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26.674933038422175\n"
     ]
    }
   ],
   "source": [
    "kn_df_sorted = kn_df.sort_values(by=['log_likelihood'], ascending=False, ignore_index=True)\n",
    "#display(kn_df_sorted)\n",
    "kn_bf = kn_df_sorted.iloc[0].to_dict()\n",
    "\n",
    "kn_tp = int(kn_df_sorted.shape[0] * 10e-1)\n",
    "kn_var = kn_df_sorted['luminosity_distance'][0:kn_tp].std()\n",
    "print(kn_var)\n",
    "\n",
    "#display(sc_df)\n",
    "sc_df = sc_df.sort_values(by=['log_likelihood'], ascending=False, ignore_index=True)\n",
    "sc_bf = sc_df.iloc[0].to_dict()\n",
    "sc_tp = int(sc_df.shape[0] * 3e-3)\n",
    "sc_var = sc_df['luminosity_distance'][0:sc_tp].std()\n",
    "display(sc_bf)\n",
    "print(sc_var)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "kn_blc = knModel.generate_lightcurve(sample_times, kn_bf)\n",
    "sc_blc = scModel.generate_lightcurve(sample_times, sc_bf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.00392156862745098, 0.45098039215686275, 0.6980392156862745)"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cp[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_11817/1575491688.py:1: MatplotlibDeprecationWarning: The seaborn styles shipped by Matplotlib are deprecated since 3.6, as they no longer correspond to the styles shipped by seaborn. However, they will remain available as 'seaborn-v0_8-<style>'. Alternatively, directly use the seaborn API instead.\n",
      "  plt.style.use(\"seaborn-colorblind\")\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use(\"seaborn-colorblind\")\n",
    "plt.style.context((\"seaborn-colorblind\",))\n",
    "abotosePath = './candidate_data/paper_candidates/v1/candidate_data/ZTF21abotose.dat'\n",
    "df2 = pd.read_csv(abotosePath, sep=' ', header=None, names=['t', 'filter', 'mag', 'mag_unc'])\n",
    "df2['t'] = Time(pd.to_datetime(df2['t'])).mjd\n",
    "df2['t'] = df2['t'] - Time('2021-07-28 05:10:28.004').mjd #+2.75\n",
    "df2.head(25)\n",
    "\n",
    "fig, axs = plt.subplots(3,1,figsize=(10, 15),sharex=True, sharey=True, facecolor='w')\n",
    "filters = ['i', 'r', 'g']\n",
    "\n",
    "for i, filter in enumerate(filters):\n",
    "    ax = axs[i]\n",
    "    ax.set_ylabel(f'{filter}',rotation=0, labelpad=12, fontsize=16)\n",
    "    \n",
    "    kn_lcc = luminosity(kn_bf[\"luminosity_distance\"], kn_blc[1][filter])\n",
    "    kn_lcc_lower = luminosity(kn_bf[\"luminosity_distance\"]+kn_var*2, kn_blc[1][filter])\n",
    "    kn_lcc_upper = luminosity(kn_bf[\"luminosity_distance\"]-kn_var*2, kn_blc[1][filter])\n",
    "    ax.fill_between(sample_times, kn_lcc_lower, kn_lcc_upper, color=cp[0], alpha=0.3, label='Kilonova')\n",
    "    ax.plot(sample_times, kn_lcc, color=cp[0], linestyle='--', )\n",
    "    \n",
    "    sc_lcc = luminosity(sc_bf[\"luminosity_distance\"], sc_blc[1][filter])\n",
    "    sc_lcc_upper = luminosity(sc_bf[\"luminosity_distance\"]+sc_var, sc_blc[1][filter])\n",
    "    sc_lcc_lower = luminosity(sc_bf[\"luminosity_distance\"]-sc_var, sc_blc[1][filter])\n",
    "    ax.fill_between(sample_times, sc_lcc_lower, sc_lcc_upper, color=cp[4], alpha=0.5,label='Shock Cooling')\n",
    "    ax.plot(sample_times, sc_lcc, color=cp[4], linestyle='--', )\n",
    "    \n",
    "    try:\n",
    "        detections = df2[(df2['filter'] == filter) & (df2['mag_unc'] != np.inf)]\n",
    "    except:\n",
    "        detections = None\n",
    "    try:\n",
    "        non_detections = df2[(df2['filter'] == filter) & (df2['mag_unc'] == np.inf)]\n",
    "    except:\n",
    "        non_detections = None\n",
    "    #non_detections = df[(df['filter'] == filter) & (df['mag_unc'] is np.inf)]\n",
    "    #display(detections)\n",
    "    \n",
    "    try: \n",
    "        ax.errorbar(detections['t'], detections['mag'], yerr=detections['mag_unc'], fmt='o', color='k') \n",
    "    except: \n",
    "        None\n",
    "    try: \n",
    "        ax.scatter(non_detections['t'], non_detections['mag'], marker='v', color='k',zorder=10) \n",
    "    except: \n",
    "        None\n",
    "    ax.invert_yaxis()\n",
    "    ax.set_ylim(26, 14)\n",
    "    ax.set_xlim(-0.01,10)\n",
    "    axs[0].legend(loc='upper right', fontsize=12)\n",
    "    ax.grid(alpha=0.5)\n",
    "    axs[2].set_xlabel('Time [days]', fontsize=16)\n",
    "\n",
    "#plt.savefig('outdir/ZTF21abotoseModels.png', dpi=300, bbox_inches='tight')    \n",
    "#plt.show()    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "nmma",
   "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": "3.8.16"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}