User_selected_params_SALT2.ipynb

{
 "cells": [
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "import os",
   "execution_count": 1,
   "outputs": []
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "survey_file = os.path.join('/Users/rbiswas/data/ztf/ObsTables/', 'test_schedule_v6.db')",
   "execution_count": 2,
   "outputs": []
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "sfd98_dir = os.path.join('/Users/rbiswas/data/MWDUST')\n\n# This does not give the program access  but is the dir which contains \n!ls /Users/rbiswas/data/MWDUST/",
   "execution_count": 3,
   "outputs": [
    {
     "output_type": "stream",
     "text": "Fitzpatrick99.README     SFD_dust_4096_ngp.fits   SFD_mask_4096_sgp.fits\r\nFitzpatrick99_xt_3.1.txt SFD_dust_4096_sgp.fits   SFD_temp_ngp.fits\r\nFitzpatrick99_xt_3.2.txt SFD_i100_4096_ngp.fits   SFD_temp_sgp.fits\r\nFitzpatrick99_xt_3.3.txt SFD_i100_4096_sgp.fits   SFD_xmap_ngp.fits\r\nNOTES                    SFD_mask_4096_ngp.fits   SFD_xmap_sgp.fits\r\n",
     "name": "stdout"
    }
   ]
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "import numpy as np\nimport matplotlib.pyplot as plt\n%matplotlib inline\n\nimport simsurvey\nimport sncosmo\nfrom astropy.cosmology import Planck15\n\nimport simsurvey_tools as sst ",
   "execution_count": 4,
   "outputs": []
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "# Load the ZTF CCD corners and filters\nccds = sst.load_ztf_ccds()\nsst.load_ztf_filters()",
   "execution_count": 5,
   "outputs": []
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "# Load simulated survey from file (download from ftp://ftp.astro.caltech.edu/users/ebellm/one_year_sim_incomplete.db)\n# Currently DES filters are used as proxies for ZTF filters\nplan = simsurvey.SurveyPlan(load_opsim=survey_file, band_dict={'g': 'ztfg', 'r': 'ztfr', 'i': 'desi'}, ccds=ccds)\n\nmjd_range = (plan.cadence['time'].min() - 30, plan.cadence['time'].max() + 30)",
   "execution_count": 6,
   "outputs": []
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "RB: Can't we use ztfi now?"
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "mjd_range",
   "execution_count": 7,
   "outputs": [
    {
     "output_type": "execute_result",
     "execution_count": 7,
     "data": {
      "text/plain": "(57403.16732874228, 57736.41649200727)"
     },
     "metadata": {}
    }
   ]
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "plan.pointings.to_pandas().head()",
   "execution_count": 8,
   "outputs": [
    {
     "output_type": "execute_result",
     "execution_count": 8,
     "data": {
      "text/plain": "           time  band  zp     skynoise        RA    Dec  field  ccd  comment\n0  57433.167329  ztfr  30  1235.458255  97.27032 -24.25    258  NaN  all_sky\n1  57433.167792  ztfr  30  1032.415561  93.69218 -17.05    307  NaN  all_sky\n2  57433.168255  ztfr  30   831.160655  96.84022  -9.85    358  NaN  all_sky\n3  57433.168749  ztfr  30   768.014326  89.36968   4.55    459  NaN  all_sky\n4  57433.169220  ztfr  30   754.615141  85.58463  11.75    511  NaN  all_sky",
      "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>time</th>\n      <th>band</th>\n      <th>zp</th>\n      <th>skynoise</th>\n      <th>RA</th>\n      <th>Dec</th>\n      <th>field</th>\n      <th>ccd</th>\n      <th>comment</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>57433.167329</td>\n      <td>ztfr</td>\n      <td>30</td>\n      <td>1235.458255</td>\n      <td>97.27032</td>\n      <td>-24.25</td>\n      <td>258</td>\n      <td>NaN</td>\n      <td>all_sky</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>57433.167792</td>\n      <td>ztfr</td>\n      <td>30</td>\n      <td>1032.415561</td>\n      <td>93.69218</td>\n      <td>-17.05</td>\n      <td>307</td>\n      <td>NaN</td>\n      <td>all_sky</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>57433.168255</td>\n      <td>ztfr</td>\n      <td>30</td>\n      <td>831.160655</td>\n      <td>96.84022</td>\n      <td>-9.85</td>\n      <td>358</td>\n      <td>NaN</td>\n      <td>all_sky</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>57433.168749</td>\n      <td>ztfr</td>\n      <td>30</td>\n      <td>768.014326</td>\n      <td>89.36968</td>\n      <td>4.55</td>\n      <td>459</td>\n      <td>NaN</td>\n      <td>all_sky</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>57433.169220</td>\n      <td>ztfr</td>\n      <td>30</td>\n      <td>754.615141</td>\n      <td>85.58463</td>\n      <td>11.75</td>\n      <td>511</td>\n      <td>NaN</td>\n      <td>all_sky</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {}
    }
   ]
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "tr = simsurvey.get_transient_generator((0.0, 0.05),\n                                       transient='Ia',\n                                       template='salt2',\n                                       ra_range=(0,360),\n                                       dec_range=(-30,90),\n                                       mjd_range=(58178, 58543))\n",
   "execution_count": 9,
   "outputs": [
    {
     "output_type": "stream",
     "text": "/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/simsurvey/simultarget.py:641: UserWarning: SFD98 dust map files not found. MW E(B-V) will be set to zero.\n  warnings.warn(\"SFD98 dust map files not found. \"\n",
     "name": "stderr"
    }
   ]
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "tr.ntransient",
   "execution_count": 10,
   "outputs": [
    {
     "output_type": "execute_result",
     "execution_count": 10,
     "data": {
      "text/plain": "985"
     },
     "metadata": {}
    }
   ]
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "##  Now we provide user supplied parameters"
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "salt_model = sncosmo.Model(source='salt2',\n                           effects=[sncosmo.CCM89Dust()],\n                           effect_frames=['obs'], effect_names=['mw'])",
   "execution_count": 11,
   "outputs": []
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "salt_model.param_names",
   "execution_count": 12,
   "outputs": [
    {
     "output_type": "execute_result",
     "execution_count": 12,
     "data": {
      "text/plain": "['z', 't0', 'x0', 'x1', 'c', 'mwebv', 'mwr_v']"
     },
     "metadata": {}
    }
   ]
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "tr.ntransient",
   "execution_count": 13,
   "outputs": [
    {
     "output_type": "execute_result",
     "execution_count": 13,
     "data": {
      "text/plain": "985"
     },
     "metadata": {}
    }
   ]
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "def random_salt_parameters(redshifts, model,\n                      mag=(-18., 1.),\n                      r_v=3.1, ebv_rate=0.11,\n                      alpha=1.3,\n                      cosmo=Planck15,\n                      **kwargs):\n    \"\"\"\n    \"\"\"\n    out = {}\n\n    mB = tr.cosmo.distmod(redshifts).value + (-19.3)\n    x0 = 10**(-0.4 * (mB - 10.3))\n    out['x0'] = x0 # np.array(amp)\n    out['mwr_v'] = r_v * np.ones(len(redshifts))\n    #out['hostebv'] =  np.random.exponential(ebv_rate, len(redshifts))\n\n    out['c'] = np.random.normal(0., 0.1, len(redshifts))\n    out['x1'] = np.random.normal(0., 1.0, len(redshifts))\n\n    return out\n\n",
   "execution_count": 14,
   "outputs": []
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "redshifts = [0.01, 0.02, 0.03, 0.005, 0.015, 0.007, 0.012]",
   "execution_count": 15,
   "outputs": []
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "param = random_salt_parameters(redshifts=redshifts, model=salt_model)",
   "execution_count": 16,
   "outputs": []
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "param",
   "execution_count": 17,
   "outputs": [
    {
     "output_type": "execute_result",
     "execution_count": 17,
     "data": {
      "text/plain": "{'x0': array([0.0347877 , 0.00856722, 0.0037517 , 0.14021193, 0.01534505,\n        0.07131916, 0.0240852 ]),\n 'mwr_v': array([3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1]),\n 'c': array([ 0.15887344,  0.1233316 , -0.0108666 , -0.03211453,  0.0704211 ,\n         0.09445777,  0.03391378]),\n 'x1': array([ 0.51619061,  0.02377255,  1.75138323, -0.19526491, -0.47976881,\n         0.83986942, -1.73013611])}"
     },
     "metadata": {}
    }
   ]
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "tr.model.param_names",
   "execution_count": 18,
   "outputs": [
    {
     "output_type": "execute_result",
     "execution_count": 18,
     "data": {
      "text/plain": "['z', 't0', 'x0', 'x1', 'c', 'mwebv', 'mwr_v']"
     },
     "metadata": {}
    }
   ]
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "tr._derived_properties['simul_parameters']",
   "execution_count": 19,
   "outputs": [
    {
     "output_type": "execute_result",
     "execution_count": 19,
     "data": {
      "text/plain": "{'zcmb': [0.022903593830892743,\n  0.039816553644677975,\n  0.029588574101111598,\n  0.02897047353654942,\n  0.04106778302151485,\n  0.029885259067725777,\n  0.039747292962332564,\n  0.040049175851907266,\n  0.03960114053836658,\n  0.04418186638082377,\n  0.048502480174376014,\n  0.03870069628310168,\n  0.03851783730776423,\n  0.02516663336750815,\n  0.03706373536591478,\n  0.044886990507528556,\n  0.018072516975172478,\n  0.01572023899054406,\n  0.016408046066070235,\n  0.047802284010922756,\n  0.030239024834831228,\n  0.022972847755054895,\n  0.04252694041855406,\n  0.04783483512223578,\n  0.03060318527776164,\n  0.040599646428692106,\n  0.01932892074558959,\n  0.04451988646041724,\n  0.023275977183653693,\n  0.04349879518915364,\n  0.04821872156482831,\n  0.042448420353295935,\n  0.047873080289348134,\n  0.024589866003966232,\n  0.029689647367189945,\n  0.025570235350674507,\n  0.030940293833998957,\n  0.04378323742552473,\n  0.04209178174485297,\n  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58520.0128428 ,\n        58303.31387221, 58491.3394608 , 58179.45082851, 58277.95883001,\n        58362.73147204, 58257.77168833, 58345.61517493, 58426.84850993,\n        58237.3179028 , 58217.69541117, 58432.65892388, 58496.59317681,\n        58349.0407102 , 58381.42669105, 58328.7852932 , 58398.16680699,\n        58506.02568066, 58290.97983038, 58309.75709478, 58417.70165504,\n        58501.73920137, 58444.49892467, 58234.86724779, 58499.06730156,\n        58199.14782437, 58319.40429978, 58335.6265591 , 58522.05040179,\n        58200.26987228, 58210.03744198, 58377.42469757, 58451.31125815,\n        58526.62708647, 58361.00129128, 58233.65691416, 58411.24698978,\n        58329.70080603, 58350.53590667, 58361.92134279, 58245.11017238,\n        58402.32761274, 58286.43407595, 58190.57870953, 58266.63869541,\n        58228.17453614, 58518.63711298, 58254.5482937 , 58199.44695124,\n        58258.15857652, 58410.41092719, 58297.90317442, 58343.81773796,\n        58400.1523158 , 58452.95686338, 58253.74363765, 58324.71115881,\n        58539.81683642, 58494.74610524, 58317.32515138, 58222.58920187,\n        58521.63874756, 58422.03397836, 58437.15414295, 58454.62959127,\n        58315.96686902, 58302.03909083, 58502.47826652, 58364.43428388,\n        58361.92468521, 58295.72382896, 58345.68826982, 58422.2931933 ,\n        58459.36679752, 58307.14137098, 58376.8614725 , 58357.71940012,\n        58238.41818656, 58291.02077095, 58428.51245385, 58497.46187221,\n        58199.18569718, 58266.29115102, 58536.20997685, 58476.06603534,\n        58371.22251999, 58347.34771854, 58306.24076526, 58245.39887839,\n        58232.34689184, 58192.87013417, 58528.26000981, 58341.80411865,\n        58223.48092793, 58297.85103105, 58335.96223667, 58243.22885779,\n        58485.71768077, 58205.56806761, 58502.85362445, 58249.57894067,\n        58189.19165295, 58489.30647301, 58347.91340781, 58435.45805789,\n        58442.52988022, 58261.85834082, 58199.23126648, 58518.29945482,\n   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58307.42392742, 58384.93024809, 58379.94980699, 58431.80777525,\n        58201.86119433, 58257.12335928, 58249.95420299, 58197.56216675,\n        58389.43413774, 58480.62724929, 58488.65978082, 58291.33170716,\n        58452.63359719, 58430.20554072, 58246.25789042, 58431.49681634,\n        58209.41048431, 58263.31230579, 58285.9279208 , 58248.18150939,\n        58213.61553119, 58336.60491073, 58498.316309  , 58436.62866353,\n        58279.63851474, 58316.04113087, 58534.73884348, 58454.28710674,\n        58283.04821517, 58236.46414629, 58205.28098658, 58386.80013201,\n        58341.00101476, 58269.77425951, 58489.75244494, 58489.38785938,\n        58262.91888079, 58250.89085502, 58327.0070752 , 58518.70244725,\n        58309.22790003, 58355.64564976, 58324.53724088, 58463.46965608,\n        58373.73053032, 58418.44422428, 58408.88594968, 58480.06301724,\n        58461.15002542, 58423.66097118, 58493.47507907, 58279.08808562,\n        58330.63497647, 58293.22542811, 58258.62070295, 58497.18567879,\n        58230.4942221 , 58403.65872741, 58390.21662863, 58511.08280831,\n        58179.47231696, 58301.26008031, 58308.56931986, 58333.92335133,\n        58306.812058  , 58223.21482363, 58352.24756273, 58270.36813705,\n        58397.64581821, 58419.80983213, 58528.21293138, 58459.00755664,\n        58240.79835105, 58197.25509929, 58533.4991678 , 58505.88849832,\n        58252.01585463, 58423.66915906, 58276.32440891, 58483.19902553,\n        58456.80826712, 58458.27806926, 58421.36958161, 58457.69456105,\n        58459.36191807, 58510.62838214, 58327.19924115, 58424.5490152 ,\n        58418.05808092, 58437.13975601, 58509.32335188, 58337.29490029,\n        58521.2961873 , 58500.02408937, 58474.04579016, 58389.55536399,\n        58444.89622077, 58365.37615815, 58378.30902525, 58492.95345258,\n        58343.88743523, 58272.31329568, 58179.39803958, 58388.36472096,\n        58452.69635262, 58367.08930469, 58424.19844417, 58517.17846524,\n        58287.97080373, 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1.73930004e+02, 2.73174245e+02,\n        1.04112730e+00, 2.44806037e+02, 3.53221084e+02, 1.06965938e+02,\n        4.50597861e+01, 3.45200564e+02, 2.88087738e+01, 2.97893375e+02,\n        1.57680238e+02, 2.67358482e+02, 1.39744390e+02, 2.60677201e+02,\n        3.24559759e+02, 2.14768801e+02, 2.16963482e+01, 2.26292009e+01,\n        1.98455787e+02, 1.37273844e+02, 2.55778117e+02, 8.47868928e+01,\n        1.18274084e+02, 4.44880840e+01, 2.42190997e+01, 3.48754654e+02,\n        6.23180191e+01, 9.81570017e+01, 2.77502864e+02, 2.17663468e+02,\n        1.90726342e+02, 2.03874071e+02, 2.50127678e+02, 3.42081653e+02,\n        9.25380645e+01, 8.52036499e+00, 6.15843351e+01, 2.23811881e+02,\n        1.38316610e+01, 5.59840976e+01, 1.30695456e+02, 2.75906742e+02,\n        2.56577995e+02, 1.31802384e+02, 2.45390995e+02, 2.80601061e+02,\n        7.31965130e+01, 3.56292234e+02, 3.00269138e+02, 3.44546842e+02,\n        1.21657509e+02, 3.53468114e+02, 1.81499882e+02, 2.04489731e+02,\n        1.12106435e+02, 3.34058400e+02, 2.41752421e+02, 1.11885490e+01,\n        1.34384692e+02, 9.43570674e+01, 4.79029082e+01, 2.57936026e+02,\n        3.33839542e+02, 6.99168073e+01, 4.30878945e+01, 7.70594878e+01,\n        1.66878226e+01, 3.14887036e+02, 6.69616207e+01, 3.24072441e+02,\n        1.88148210e+02, 4.17526767e+01, 2.45947784e+02, 1.51559509e+02,\n        3.52943571e+02, 3.29900910e+02, 3.42246768e+01, 1.80419319e+02,\n        7.16176916e+01, 2.40453301e+02, 1.11625643e+02, 7.47751718e+01,\n        2.48521329e+02, 1.28920887e+02, 1.06828699e+02, 7.24202967e+01,\n        3.04543695e+02, 1.24469711e+02, 1.27854628e+02, 3.45679764e+02,\n        1.54222144e+02, 3.29366453e+02, 1.58985908e+02, 9.60177283e+01,\n        1.24061533e+02, 1.90933724e+02, 3.52163410e+02, 1.74905424e+02,\n        8.14787649e+01, 1.50856298e+02, 2.84157074e+01, 3.43470470e+02,\n        2.74650051e+02, 2.72202828e+02, 2.59266113e+02, 2.32686188e+02,\n        2.13354530e+02, 2.29506963e+02, 6.87025772e+01, 1.18284302e+02,\n        1.24333820e+02, 1.23017704e+01, 2.66782384e+02, 1.64952282e+02,\n        2.37695455e+02, 8.62982782e+01, 1.63841122e+02, 2.21689377e+02,\n        6.25164276e+01, 2.17291841e+01, 9.45018824e+01, 2.18991142e+02,\n        1.46410601e+01, 1.01712295e+02, 1.81731476e+01, 1.61433386e+01,\n        2.84424984e+02, 1.68899651e+02, 1.33831765e+02, 3.24766583e+02,\n        3.14564553e+02, 2.06504290e+02, 2.04286624e+02, 3.40018606e+02,\n        6.26873470e+01, 2.05802601e+02, 6.03200922e+01, 1.76365717e+02,\n        3.56863627e+02, 3.59578552e+02, 2.84033097e+02, 2.03106169e+02,\n        2.59518742e+02, 3.07830100e+02, 3.44511591e+02, 1.21199092e+02,\n        6.75900001e+01, 2.89450922e+02, 8.62712365e+01, 1.19867994e+02,\n        1.56863035e+02, 2.87724554e+02, 1.32113867e+01, 2.44708521e+02,\n        1.26981318e+02, 6.44519320e+01, 2.94129386e+02, 2.32889229e+02,\n        1.60610732e+02, 1.24449942e+02, 3.23554580e+02, 1.98723978e+02,\n        2.79427629e+02, 2.48648308e+02, 5.34551956e+00, 1.55437278e+02,\n        2.34551165e+02, 6.14984394e+01, 1.67701209e+02, 2.24263174e+02,\n        2.34531757e+02, 1.18929229e+02, 7.46327263e+01, 1.92474761e+02,\n        1.62494560e+02, 9.76366650e+01, 2.92476683e+02, 3.03954170e+02,\n        3.18891055e+02, 1.52186514e+02, 3.00884996e+02, 2.33563613e+02,\n        5.38858140e+01, 1.00721077e+02, 3.29266264e+02, 5.50033860e+01,\n        1.39393756e+02, 9.46152089e+01, 6.77409525e+01, 2.18433336e+00,\n        8.66291153e+01, 1.82940890e+02, 1.37411914e+02, 7.49926009e+01,\n        1.48497268e+02, 1.13512153e+02, 5.62734879e+01, 2.10146509e+02,\n        1.88388490e+02, 2.59774776e+02, 1.66856627e+02, 1.41879162e+02,\n        3.74897747e+01, 1.66650697e+02, 2.68236544e+02, 3.54942346e+02,\n        2.28650877e+02, 4.20672834e+01, 3.12775428e+02, 1.13796386e+02,\n        1.53726420e+02, 1.15791654e+02, 1.35838712e+01, 2.12281873e+02,\n        4.59059498e+01, 2.75022361e+02, 1.81841130e+02, 3.48364130e+02,\n        1.61135519e+02, 1.01651294e+02, 1.85228344e+02, 1.33303902e+02,\n        8.45629656e+00, 1.46418684e+02, 2.02949431e+02, 1.95257432e+02,\n        2.36605354e+02, 2.18296272e+02, 3.37567682e+02, 3.54127726e+02,\n        1.46740979e+01, 6.38843474e+01, 1.78728021e+02, 1.90340719e+02,\n        1.89546745e+02, 1.16455665e+01, 2.69360826e+02, 7.86959779e+01,\n        3.83050437e+01, 2.60519294e+02, 1.47008202e+02, 1.36290959e+02,\n        3.59905586e+02, 2.75212117e+02, 3.31101656e+02, 8.02792659e+01,\n        2.27276554e+02, 1.23737822e+02, 1.62067071e+02, 2.31290008e+02,\n        5.23264152e+01, 1.44348966e+02, 2.20611447e+02, 8.85538049e+01,\n        3.18495692e+02, 1.17546131e+02, 1.67332263e+02, 3.02138643e+02,\n        2.45702637e+02, 1.44651416e+02, 2.62127317e+02, 3.95150834e+01,\n        6.24180291e+01, 1.81837962e+02, 1.41230473e+02, 1.95619191e+01,\n        1.67723016e+02, 2.59555510e+02, 1.07141731e+01, 2.44243007e+02,\n        1.41596788e+02, 1.67641671e+02, 9.69421179e+01, 5.02170632e+01,\n        3.47291218e+02, 3.25298530e+02, 4.10367653e+01, 2.66344340e+02,\n        2.55344955e+02, 1.27364987e+02, 8.14586456e+01, 2.89420336e+02,\n        1.89260802e+02, 3.20851205e+01, 1.00759967e+02, 2.16856731e+01,\n        4.34322052e+01, 8.15884174e+01, 3.47610298e+02, 6.93651120e+01,\n        1.44414630e+02, 2.12514217e+02, 3.13008737e+01, 4.85814967e+01,\n        9.72593587e+01, 1.60300512e+02, 1.19683239e+02, 5.29864948e+01,\n        2.53494477e+02, 9.58940698e+01, 3.17279681e+02, 2.43598567e+02,\n        3.26292678e+02, 9.85281609e+01, 7.99443898e+01, 2.21523605e+02,\n        5.88615415e+00, 1.24936739e+02, 1.25646526e+02, 1.88864091e+02,\n        1.89747261e+02, 2.05357544e+02, 2.65098137e+02, 3.98618060e+01,\n        7.82933095e+01, 1.49916637e+02, 2.54635348e+02, 1.49572940e+02,\n        2.70988202e+01, 7.48574207e+01, 1.88018193e+02, 3.05555781e+02,\n        1.37656248e+02, 6.55335822e+01, 1.37465131e+02, 2.36577100e+02,\n        2.57557659e+02, 3.10890595e+02, 3.44125698e+00, 6.13955115e+01,\n        1.19860822e+02, 2.74701775e+02, 8.82583688e+01, 3.16975111e+02,\n        1.93019401e+02, 3.49249525e+02, 3.46964418e+01, 2.71618650e+02,\n        1.48990561e+02, 1.47792002e+01, 1.71143017e+01, 7.76519290e+01,\n        1.37944002e+02, 1.79124469e+02, 2.49461100e+02, 4.50928982e+01,\n        9.10115474e+01, 1.27393614e+02, 3.08254575e+02, 8.67004465e+01,\n        1.52130288e+02, 1.02650915e+02, 2.19422768e+02, 1.89340432e+02,\n        2.19974364e+02, 6.39712281e-01, 3.37283338e+02, 2.97304213e+02,\n        4.43601610e+01, 5.90526932e+01, 3.97031943e+01, 8.30532780e+01,\n        6.16724812e+00, 8.68827110e+01, 2.20560714e+02, 2.22121130e+02,\n        2.31483286e+02, 2.44993398e+02, 3.54493337e+02, 2.62640962e+02,\n        1.21316079e+02, 1.51423055e+02, 2.21441255e+02, 1.15431031e+02,\n        1.97619706e+02, 7.31367800e+01, 2.48120354e+02, 3.25686934e+02,\n        9.83573605e+01, 7.99042067e+01, 3.27969314e+02, 2.39565427e+02,\n        5.70365440e+01, 2.48285888e+01, 3.16155534e+02, 3.41058690e+02,\n        2.34486742e+02, 2.48554125e+02, 3.20488745e+02, 3.06517839e+02,\n        2.47072699e+02, 4.96737892e+01, 1.41409185e+02, 3.38270522e+01,\n        3.17832668e+02, 1.96964514e+02, 1.29680899e+02, 1.71345562e+02,\n        1.28820858e+02, 3.19249460e+02, 2.33899365e+02, 1.20687661e+02,\n        1.67087956e+02, 3.05142577e+01, 7.00059166e+01, 2.18386303e+02,\n        2.92025838e+02, 2.29314268e+02, 1.08844314e+02, 2.54328990e+02,\n        1.36827354e+02, 7.31150804e+01, 2.32785176e+02, 2.56926840e+02,\n        3.43889899e+02, 2.90662733e+01, 2.37135400e+02, 3.11082309e+02,\n        3.56835318e+02, 1.56857238e+02, 7.89014049e+00, 1.08324378e+01,\n        8.66540230e+01, 1.34221357e+02, 3.49508547e+02, 9.75907414e+01,\n        2.82035535e+02, 2.68231518e+02, 1.98291399e+02, 6.64347818e+00,\n        1.04720993e+02, 2.24343664e+02, 2.15745536e+01, 5.94349051e+01,\n        2.00022940e+02, 1.46461386e+02, 2.67589501e+01, 2.74436740e+02,\n        1.73963171e+02, 5.74390112e+01, 2.95654715e+02, 2.48210853e+02,\n        1.47216735e+02, 1.27825617e+02, 1.89767088e+02, 2.94131568e+02,\n        3.33760495e+02, 1.56682500e+01, 6.13999201e+01, 4.92852946e+01,\n        7.50041329e+00, 3.41049559e+02, 2.73930152e+02, 1.87228142e+02,\n        2.80342245e+02, 1.92168170e+02, 3.82039523e+01, 2.77380793e+02,\n        1.54006077e+02, 1.19325472e+01, 1.36284988e+01, 7.07108750e+00,\n        3.04555618e+02, 2.39433388e+02, 3.31330974e+02, 2.17896674e+01,\n        3.46564760e+02, 1.45808963e+02, 2.51301391e+02, 5.02792404e+01,\n        8.46258583e+01, 6.41407352e+01, 3.40894971e+02, 2.18415996e+02,\n        2.33897143e+02, 2.46788128e+02, 3.36674317e+02, 2.14462564e+02,\n        2.87598762e+02, 2.90975157e+02, 3.16584644e+02, 1.42627686e+01,\n        2.02723719e+02, 6.75741144e+01, 1.43931713e+02, 1.48331645e+02,\n        3.38978316e+02, 5.60485747e+01, 7.19523269e+01, 1.15190027e+02,\n        2.76692446e+02, 3.04241523e+02, 8.88642725e+01, 1.40256529e+02,\n        1.64850959e+02, 3.22934420e+02, 2.81355826e+02, 2.41139249e+02,\n        1.55734175e+02, 8.35847769e+01, 2.36731922e+02, 1.71910815e+02,\n        2.98305426e+00, 1.56163617e+02, 1.82406205e+02, 4.70193860e+01,\n        7.27847038e+01, 5.47684163e+01, 7.83458201e+01, 3.47223269e+02,\n        9.74142599e+01, 2.17942982e+01, 4.79132291e-01, 6.62771660e+01,\n        1.91628349e+02, 2.75243148e+01, 1.88461443e+02, 2.65630627e+02,\n        2.46247452e+02, 1.09240002e+02, 2.09196757e+02, 9.84628423e+01,\n        3.42244472e+02, 1.95768085e+01, 3.18132728e+02, 2.64478949e+02,\n        2.69671808e+02, 1.99956832e+01, 6.83609151e+01, 2.77799419e+02,\n        3.46811277e+02, 1.67504534e+02, 3.69150232e+01, 2.30934449e+02,\n        3.26004737e+02, 3.49429205e+02, 8.52892894e+00, 2.11024823e+00,\n        2.55233598e+02, 1.33600032e+02, 1.91658839e+02, 1.87991561e+02,\n        2.07465485e+02, 2.88465044e+02, 2.18466471e+02, 1.76747267e+02,\n        2.77356406e+02, 2.42112975e+02, 2.74857670e+01, 2.63844086e+02,\n        7.82353681e+01, 2.62660342e+02, 7.71911106e+01, 5.38600081e+00,\n        1.41827186e+02, 1.82838288e+02, 9.35112820e+01, 2.68319823e+02,\n        2.13223660e+02, 3.27345515e+02, 3.52941927e+02, 3.13524758e+02,\n        2.81603224e+02, 1.32770725e+02, 5.92639796e+01, 2.50389526e+02,\n        8.97173044e+01, 1.42583708e+01, 3.12380741e+02, 3.35122682e+02,\n        1.06495165e+02, 5.34835659e+01, 1.62906608e+02, 1.33068638e+01,\n        2.67395843e+02, 2.51241123e+02, 3.21928198e+02, 2.79712863e+02,\n        8.94996909e+01, 4.87425306e+01, 6.47022425e-01, 3.17168051e+02,\n        2.42150007e+02, 3.45756004e+02, 9.87925807e+01, 4.46938936e+01,\n        3.27690450e+02, 2.58151472e+02, 3.77476394e+01, 1.65766351e+02,\n        1.04801324e+02, 4.63047560e+01, 2.51467791e+02, 2.74186278e+02,\n        6.17500404e+00, 3.26040494e+02, 3.24515792e+02, 2.18532467e+02,\n        1.59754007e+01, 1.96465321e+02, 1.35161820e+02, 2.45204493e+02,\n        2.70021861e+02, 2.47059518e+02, 4.38022254e+01, 2.60593141e+02,\n        2.55008402e+02, 1.74181154e+02, 1.88597797e+02, 3.38830956e+01,\n        8.17799145e+01, 2.78246315e+01, 9.27269969e+01, 2.64264665e+02,\n        5.65920213e+01, 9.07216836e+00, 2.28154943e+02, 1.67875821e+02,\n        2.43413869e+02, 2.80678487e+02, 1.20533358e+02, 1.37963660e+02,\n        8.23023077e+01, 1.48604081e+02, 2.46899925e+02, 3.18600881e+02,\n        7.89587963e+01, 3.49956940e+02, 3.24828693e+02, 3.05892651e+01,\n        9.71497978e+00, 1.11583556e+02, 3.40310476e+02, 8.34090313e+01,\n        6.41592431e+01, 1.12304523e+02, 6.56514193e+00, 1.83482877e+01,\n        1.33625331e+02, 2.78126638e+01, 1.55489841e+01, 2.52422455e+02,\n        3.05877837e+02, 1.44866531e+02, 3.10327514e+02, 2.20017579e+02,\n        5.26714956e+00, 2.93152408e+01, 2.26293264e+02, 3.23757023e+02,\n        3.04411241e+01, 2.46857168e+02, 2.70599600e+02, 1.16683472e+02,\n        1.35393969e+02, 1.46866143e+02, 3.50597230e+02, 1.46120722e+02,\n        3.12610649e+02, 2.84942756e+02, 1.75474357e+02, 2.65221949e+02,\n        1.09973664e+02, 3.28801509e+02, 1.36236479e+02, 2.31619878e+02,\n        3.32013120e+02, 2.61906300e+02, 2.83150924e+02, 3.05628918e+02,\n        5.47910085e+00]),\n 'dec': array([ 6.79130245e+00, -9.00176037e+00, -6.40571901e+00,  5.63553739e+01,\n        -2.44237115e+01,  6.93667990e+01,  3.43951253e+01, -1.68046256e+00,\n         6.09614300e+00, -2.63449154e+01, -2.99213502e+01,  5.95058487e+01,\n         1.00291191e+01,  4.23237840e+01,  7.69258024e+01, -4.33824163e+00,\n        -8.19889243e+00,  1.78520760e+01,  9.51476509e+00,  2.54381389e+01,\n        -9.29016026e+00, -2.20639178e+00,  5.10229997e+01, -2.45235749e+01,\n        -2.11314728e+01,  1.90041508e+01,  4.73877365e+00, -1.43218693e+00,\n        -8.02924926e+00,  1.95091571e+01,  1.04574350e+01,  6.23661533e+01,\n        -1.66893140e+01, -8.33881945e+00, -1.09970604e+00,  4.28957996e+01,\n        -1.26359712e+01,  7.19349561e+00, -5.02089900e+00, -1.79338510e+01,\n         2.86330164e+01,  1.78871005e+01,  2.30578963e+01, -1.73624953e+01,\n        -1.64689862e+01, -2.91128294e+01,  7.17317979e+01,  4.29912555e+00,\n         3.66158816e+01, -2.30085894e+01,  7.19780865e+01, -7.63979327e+00,\n        -2.27611865e+01,  4.50684320e+01,  7.24959461e+00,  4.69386996e+01,\n         6.46433539e+01,  1.91368933e+01,  6.48119251e+01,  3.39513912e+01,\n         1.22060981e+00,  7.47384968e+01, -2.35488509e+01,  4.22814312e+01,\n         3.61780748e+01, -8.82949826e+00, -5.28836904e+00, -3.33449097e+00,\n        -1.85710319e+01,  4.68472380e+01,  3.03445356e+00, -1.54522489e+01,\n         4.06684500e+01, -1.00027529e+01,  4.12126512e+01,  7.25788948e+01,\n         2.18125333e+00,  3.07464671e+01, -2.08678022e+01,  4.66245876e+01,\n         1.92206401e+01,  6.10365752e+01,  8.56552133e+01,  1.67147778e+01,\n         3.16487794e+01, -9.83777354e+00, -1.41916501e+01,  2.17965828e+01,\n        -2.61540340e+01,  5.86856114e+01,  1.09148993e+01,  1.53024409e+01,\n         2.32385240e+01, -1.35263758e+00,  5.61408206e+01,  4.41351925e+01,\n         1.18289960e+01, -2.69199937e+01,  4.03630667e+01, -1.02015765e+01,\n         2.78159105e+01,  6.38542942e+01, -9.60030154e+00,  1.87014187e+01,\n         9.90090091e+00, -2.98746750e+01, -2.02320099e+01,  4.55944355e+00,\n         2.64771696e+01, -5.64935700e+00,  2.39834791e+01,  5.57560459e+01,\n        -6.96710649e+00,  4.07545001e+00,  9.66144998e-01,  2.04749276e+01,\n         2.39048329e+01, -2.57223035e+00,  4.20499673e+01,  1.60974634e+01,\n         6.98422331e+01,  5.84641511e+01,  6.82857749e+01,  3.84236582e+01,\n         3.28522626e+01,  3.69918694e+01,  4.09735084e+01, -1.39277136e+00,\n         2.59389587e+00, -1.35697699e+00, -1.35139298e+01,  6.26451183e+01,\n         1.84490192e+01,  4.53656756e+01,  7.98642759e+01,  4.95168950e+01,\n        -2.28158545e+01, -2.61274065e+01, 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-2.81839813e+01, -1.30648948e+01,\n         7.26657087e+00,  1.90281349e+01,  4.88109190e+01,  3.87253384e+01,\n        -1.04720390e+01,  2.40263153e+01,  4.68178312e+01,  9.76064337e+00,\n         6.83368302e+01,  1.30085614e+01,  3.34764498e+01,  2.66447903e+01,\n         4.01862687e+01,  1.60708987e+01,  4.26760390e+01,  2.15696827e+01,\n         3.65429578e+01,  4.89573223e-01,  1.16546012e+01,  1.70554260e+00,\n        -1.51175227e+01, -4.37824173e+00, -4.00301281e-01, -2.19895281e+01,\n        -2.46756679e+00, -1.01233749e+01,  1.54908248e+01, -2.58806533e+01,\n        -9.53968397e-01,  1.79323319e+01,  3.15367976e+01,  4.35522337e+01,\n         1.29015057e+01, -9.45941884e+00,  5.76107006e+01,  2.12649838e+01,\n         1.13806804e+01,  2.41721657e+01,  4.62677522e+01,  6.43500567e+01,\n         4.22285329e+01,  2.09333868e+01, -1.21807438e+01,  6.75626605e+00,\n         7.54072497e+01,  3.04157141e+01, -2.70296582e+01,  5.73299150e+01,\n         2.87184691e+01,  1.46268205e+01, 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1.55515476e-01, -5.98416560e-02,\n         -1.99736048e-02, -3.91708678e-02,  1.27848088e-01,  5.98572173e-02,\n          1.08891180e-02,  1.58476296e-02,  1.96607735e-01, -5.53734100e-03,\n         -1.01648823e-01, -4.86700456e-02, -1.60508721e-01,  1.25747674e-01,\n          1.36224375e-01,  7.00707344e-02,  2.74186477e-02,  1.69870232e-02,\n         -2.62623976e-02,  7.85114812e-02,  2.70086087e-01, -1.01373333e-01,\n          5.81264351e-02,  1.39563891e-01,  1.36447675e-01,  2.77946027e-01,\n         -1.59585299e-02,  8.53584858e-02, -8.41300861e-02,  3.61994091e-02,\n         -2.84447693e-01, -1.08254874e-02,  6.23627164e-02, -7.56183528e-02,\n         -6.54788526e-02, -1.07374231e-01, -1.02437082e-01, -1.44492452e-01,\n         -3.81058019e-03,  1.11321538e-02,  4.86106843e-02, -4.87533419e-02,\n         -3.95677562e-02, -5.13083419e-03,  5.85405000e-02,  1.38503243e-01,\n          6.37486591e-02,  1.88125216e-01, -5.02024516e-02, -9.03678384e-03,\n         -1.27218206e-01, 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-1.62303730e-02,  1.55119719e-01,  3.08856525e-02,  3.28630174e-03,\n         -1.81434186e-03, -3.77826975e-02, -5.27725078e-02, -2.76011565e-02,\n          7.87290399e-02, -2.09514075e-01,  1.72608817e-02, -1.00158161e-01,\n          1.53553068e-01, -2.69765273e-01, -3.46670744e-02, -7.75616022e-02,\n          1.13637542e-01,  5.17319674e-02,  4.36600255e-03,  2.23763725e-02,\n         -1.56175956e-02,  1.22565948e-01, -1.17725779e-01, -1.47008198e-01,\n         -5.49024339e-02,  4.10363290e-02, -7.57489067e-02, -1.56744359e-01,\n          1.31261291e-01,  1.51790462e-01, -6.44432362e-02,  2.13311548e-02,\n          2.96978778e-01, -4.35128943e-02, -1.30357170e-01,  5.54995996e-03,\n         -9.93144704e-02, -3.06396453e-03,  1.31642463e-01,  2.75957680e-02,\n          5.26488470e-02,  9.35082562e-02,  7.92696542e-02,  1.97525691e-01,\n         -8.19295885e-02,  1.03505771e-01, -9.65201109e-02, -3.07618164e-02,\n         -1.07090883e-01,  9.35742518e-02, -2.34998244e-02, -1.25737191e-01,\n         -8.94547461e-02,  1.37406505e-03,  1.99775445e-02, -1.39983383e-01,\n         -1.36919287e-01, -8.54371277e-02,  2.01990679e-01,  1.42176842e-02,\n         -1.46832815e-01,  5.90605589e-02, -9.59228448e-02,  1.75855200e-02,\n         -7.82341956e-02,  4.05213574e-02, -1.18140691e-01, -3.13628084e-01,\n          9.90676212e-02,  1.16983005e-01,  1.60984305e-01, -1.23152820e-01,\n          6.01070072e-02, -4.05202822e-02,  1.39655878e-01,  9.14038367e-02,\n          9.62894091e-02,  7.90794122e-02,  1.08945504e-01, -1.38491117e-01,\n          1.48032625e-01,  1.02798642e-01, -8.03426367e-02, -2.67965927e-04,\n         -1.58194612e-01,  8.58439747e-02,  1.90692135e-01, -1.38074280e-01,\n         -7.97023951e-02,  6.24014611e-02,  7.66166620e-02,  6.30434673e-02,\n         -3.64919009e-02])}}"
     },
     "metadata": {}
    }
   ]
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "tr._model = salt_model",
   "execution_count": 20,
   "outputs": []
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "tr.model.param_names",
   "execution_count": 21,
   "outputs": [
    {
     "output_type": "execute_result",
     "execution_count": 21,
     "data": {
      "text/plain": "['z', 't0', 'x0', 'x1', 'c', 'mwebv', 'mwr_v']"
     },
     "metadata": {}
    }
   ]
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "tr._derived_properties['simul_parameters']['zcmb'] = redshifts\nprint(tr._derived_properties['simul_parameters']['zcmb'])\nprint(tr.ntransient)\n# If you provided a different number of redshift then there was before, \n# make sure to create matching-length arrays for RA, Dec etc\nr_, d_ = simsurvey.utils.random.radec(tr.ntransient,\n                                      ra_range=tr.ra_range,\n                                      dec_range=tr.dec_range)\ntr._derived_properties['simul_parameters']['ra'] = r_\ntr._derived_properties['simul_parameters']['dec'] = d_\n\nmjd = np.random.uniform(mjd_range[0], mjd_range[1], len(r_))\ntr._derived_properties['simul_parameters']['mjd'] = mjd\n# MW E(B-V) can just be reset becaus it will be reread from the maps when needed\ntr._reset_mwebv_()\n\n# Now regenerate the lightcurve model parameters\nlc = tr.transient_coverage[\"lightcurve_prop\"]\n#param = lc[\"param_func\"](tr.zcmb, tr.model,\n#                         **lc[\"param_func_kwargs\"])\ntr._derived_properties[\"simul_parameters\"][\"lightcurve\"] = param",
   "execution_count": 22,
   "outputs": [
    {
     "output_type": "stream",
     "text": "[0.01, 0.02, 0.03, 0.005, 0.015, 0.007, 0.012]\n7\n",
     "name": "stdout"
    }
   ]
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "RB: OK, so now we have 7 objects inside the mjd range and we are not doing MW exclusions yet (because of a problem with my dustmaps and not by design)"
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "tr._derived_properties['simul_parameters']['lightcurve']['x0'].size",
   "execution_count": 23,
   "outputs": [
    {
     "output_type": "execute_result",
     "execution_count": 23,
     "data": {
      "text/plain": "7"
     },
     "metadata": {}
    }
   ]
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "mjd.size",
   "execution_count": 24,
   "outputs": [
    {
     "output_type": "execute_result",
     "execution_count": 24,
     "data": {
      "text/plain": "7"
     },
     "metadata": {}
    }
   ]
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "tr._derived_properties['simul_parameters']['ra'].size",
   "execution_count": 25,
   "outputs": [
    {
     "output_type": "execute_result",
     "execution_count": 25,
     "data": {
      "text/plain": "7"
     },
     "metadata": {}
    }
   ]
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "survey = simsurvey.SimulSurvey(generator=tr, plan=plan)\n    \nlcs = survey.get_lightcurves(progress_bar=True, notebook=True # If you get an error because of the progress_bar, delete this line.\n)",
   "execution_count": 26,
   "outputs": [
    {
     "output_type": "stream",
     "text": "Determining field IDs for all objects\n",
     "name": "stdout"
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "FloatProgress(value=0.0)",
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "149937f8d2ac450b935de60096ddb983"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "text": "\nGenerating lightcurves\n",
     "name": "stdout"
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "FloatProgress(value=0.0)",
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "63d126c2cb504f11904412acfb5fd11a"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "text": "\n",
     "name": "stdout"
    }
   ]
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "import pandas as pd",
   "execution_count": 27,
   "outputs": []
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "pd.DataFrame(lcs.meta_full)",
   "execution_count": 28,
   "outputs": [
    {
     "output_type": "execute_result",
     "execution_count": 28,
     "data": {
      "text/plain": "       z            t0        x0  mwr_v         c        x1  mwebv  \\\n0  0.010  57551.455655  0.034788    3.1  0.158873  0.516191      0   \n1  0.030  57562.904265  0.003752    3.1 -0.010867  1.751383      0   \n2  0.005  57422.354949  0.140212    3.1 -0.032115 -0.195265      0   \n3  0.007  57535.939199  0.071319    3.1  0.094458  0.839869      0   \n4  0.012  57589.651664  0.024085    3.1  0.033914 -1.730136      0   \n\n           ra        dec  mwebv_sfd98  idx_orig  \n0   14.028341  44.946925            0         0  \n1  202.585534  59.494980            0         2  \n2  266.113135  22.887677            0         3  \n3   45.469539  29.324944            0         5  \n4  181.685589  66.247389            0         6  ",
      "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>z</th>\n      <th>t0</th>\n      <th>x0</th>\n      <th>mwr_v</th>\n      <th>c</th>\n      <th>x1</th>\n      <th>mwebv</th>\n      <th>ra</th>\n      <th>dec</th>\n      <th>mwebv_sfd98</th>\n      <th>idx_orig</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0.010</td>\n      <td>57551.455655</td>\n      <td>0.034788</td>\n      <td>3.1</td>\n      <td>0.158873</td>\n      <td>0.516191</td>\n      <td>0</td>\n      <td>14.028341</td>\n      <td>44.946925</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0.030</td>\n      <td>57562.904265</td>\n      <td>0.003752</td>\n      <td>3.1</td>\n      <td>-0.010867</td>\n      <td>1.751383</td>\n      <td>0</td>\n      <td>202.585534</td>\n      <td>59.494980</td>\n      <td>0</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0.005</td>\n      <td>57422.354949</td>\n      <td>0.140212</td>\n      <td>3.1</td>\n      <td>-0.032115</td>\n      <td>-0.195265</td>\n      <td>0</td>\n      <td>266.113135</td>\n      <td>22.887677</td>\n      <td>0</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0.007</td>\n      <td>57535.939199</td>\n      <td>0.071319</td>\n      <td>3.1</td>\n      <td>0.094458</td>\n      <td>0.839869</td>\n      <td>0</td>\n      <td>45.469539</td>\n      <td>29.324944</td>\n      <td>0</td>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0.012</td>\n      <td>57589.651664</td>\n      <td>0.024085</td>\n      <td>3.1</td>\n      <td>0.033914</td>\n      <td>-1.730136</td>\n      <td>0</td>\n      <td>181.685589</td>\n      <td>66.247389</td>\n      <td>0</td>\n      <td>6</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {}
    }
   ]
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "len(lcs.meta_full)",
   "execution_count": 29,
   "outputs": [
    {
     "output_type": "execute_result",
     "execution_count": 29,
     "data": {
      "text/plain": "5"
     },
     "metadata": {}
    }
   ]
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "lcs.meta_rejected",
   "execution_count": 30,
   "outputs": []
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "len(lcs.lcs)",
   "execution_count": 31,
   "outputs": [
    {
     "output_type": "execute_result",
     "execution_count": 31,
     "data": {
      "text/plain": "5"
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    }
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