Example_Reading_Results.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from astropy.io import fits\n",
    "from astropy.table import Table, vstack\n",
    "from astropy.wcs import WCS\n",
    "import os\n",
    "import time\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import LogNorm\n",
    "from matplotlib import cm\n",
    "import pandas as pd\n",
    "pd.options.display.max_columns = 250\n",
    "pd.options.display.max_rows = 250\n",
    "import healpy as hp\n",
    "from copy import copy, deepcopy\n",
    "import logging, traceback\n",
    "import sys\n",
    "logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/storage/work/j/jjd330/local/bat_data/BatML\n"
     ]
    }
   ],
   "source": [
    "# cd to code directory\n",
    "%cd /storage/work/j/jjd330/local/bat_data/BatML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from event2dpi_funcs import det2dpis, mask_detxy\n",
    "from flux_models import Cutoff_Plaw_Flux, Plaw_Flux, get_eflux_from_model\n",
    "from sqlite_funcs import get_conn\n",
    "from dbread_funcs import get_info_tab\n",
    "from do_manage2 import im_dist, get_rate_res_fnames, get_peak_res_fnames, get_out_res_fnames,\\\n",
    "                    get_merged_csv_df, get_merged_csv_df_wpos\n",
    "from hp_funcs import ang_sep\n",
    "from coord_conv_funcs import theta_phi2imxy, imxy2theta_phi, convert_imxy2radec,\\\n",
    "                            convert_radec2thetaphi, convert_radec2imxy\n",
    "from do_llh_inFoV4realtime2 import parse_bkg_csv\n",
    "from LLH import LLH_webins\n",
    "from minimizers import NLLH_ScipyMinimize_Wjacob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Number of ebins: ', 9)\n",
      "('trigger time: ', 646018383.1787)\n",
      "Ndets:  14932\n",
      "('Number of events passing cuts: ', 1367885)\n"
     ]
    }
   ],
   "source": [
    "ebins0 = np.array([15.0, 24.0, 35.0, 48.0, 64.0])\n",
    "ebins0 = np.append(ebins0, np.logspace(np.log10(84.0), np.log10(500.0), 5+1))[:-1]\n",
    "ebins0 = np.round(ebins0, decimals=1)[:-1]\n",
    "ebins1 = np.append(ebins0[1:], [350.0])\n",
    "nebins = len(ebins0)\n",
    "print(\"Number of ebins: \", nebins)\n",
    "\n",
    "\n",
    "# directory with results\n",
    "work_dir = '/storage/work/j/jjd330/local/bat_data/realtime_workdir/F646018360/'\n",
    "\n",
    "conn = get_conn(os.path.join(work_dir,'results.db'))\n",
    "info_tab = get_info_tab(conn)\n",
    "# trigger time stored in results.db (sqlite DB)\n",
    "# not much else stored there (results used to be stored there but not anymore)\n",
    "trigger_time = info_tab['trigtimeMET'][0]\n",
    "print(\"trigger time: \", trigger_time)\n",
    "\n",
    "# default file names made by do_data_setup.py\n",
    "evfname = os.path.join(work_dir,'filter_evdata.fits')\n",
    "ev_data = fits.open(evfname)[1].data\n",
    "# GTI extensions added to event fits file by do_data_setup.py\n",
    "GTI_PNT = Table.read(evfname, hdu='GTI_POINTING') # when the analysis can be run (good data time and pointing)\n",
    "GTI_SLEW = Table.read(evfname, hdu='GTI_SLEW') # slewing times\n",
    "# the final set of detectors to mask (disabled dets, hot/cold dets, and dets with glitches)  \n",
    "dmask = fits.open(os.path.join(work_dir,'detmask.fits'))[0].data\n",
    "attfile = fits.open(os.path.join(work_dir,'attitude.fits'))[1].data\n",
    "\n",
    "# number of detectors being used\n",
    "ndets = np.sum(dmask==0)\n",
    "print \"Ndets: \", np.sum(dmask==0)\n",
    "\n",
    "t_end = trigger_time + 1e3\n",
    "t_start = trigger_time - 1e3\n",
    "mask_vals = mask_detxy(dmask, ev_data)\n",
    "bl_dmask = (dmask==0.)\n",
    "\n",
    "# get rid of events:\n",
    "# far away from trigger time\n",
    "# from bad dets\n",
    "# with bad event flags\n",
    "bl_ev = (ev_data['EVENT_FLAGS']<1)&\\\n",
    "        (ev_data['ENERGY']<=500.)&(ev_data['ENERGY']>=14.)&\\\n",
    "        (mask_vals==0.)&(ev_data['TIME']<=t_end)&\\\n",
    "        (ev_data['TIME']>=t_start)\n",
    "\n",
    "print(\"Number of events passing cuts: \", np.sum(bl_ev))\n",
    "ev_data0 = ev_data[bl_ev]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   START         STOP     \n",
      "     s            s       \n",
      "----------- --------------\n",
      "646018333.0 646018533.0953\n",
      "\n",
      "-50.17869997024536 149.91659998893738\n"
     ]
    }
   ],
   "source": [
    "print GTI_PNT\n",
    "print\n",
    "for row in GTI_PNT:\n",
    "    print row['START'] - trigger_time, row['STOP'] - trigger_time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "bkg_fname = os.path.join(work_dir,'bkg_estimation.csv')\n",
    "bkg_df = pd.read_csv(bkg_fname)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>4U 1700-377_imx</th>\n",
       "      <th>4U 1700-377_imy</th>\n",
       "      <th>4U 1700-377_rate_0</th>\n",
       "      <th>4U 1700-377_rate_1</th>\n",
       "      <th>4U 1700-377_rate_2</th>\n",
       "      <th>4U 1700-377_rate_3</th>\n",
       "      <th>4U 1700-377_rate_4</th>\n",
       "      <th>4U 1700-377_rate_5</th>\n",
       "      <th>4U 1700-377_rate_6</th>\n",
       "      <th>4U 1700-377_rate_7</th>\n",
       "      <th>4U 1700-377_rate_8</th>\n",
       "      <th>Background_bkg_rate_0</th>\n",
       "      <th>Background_bkg_rate_1</th>\n",
       "      <th>Background_bkg_rate_2</th>\n",
       "      <th>Background_bkg_rate_3</th>\n",
       "      <th>Background_bkg_rate_4</th>\n",
       "      <th>Background_bkg_rate_5</th>\n",
       "      <th>Background_bkg_rate_6</th>\n",
       "      <th>Background_bkg_rate_7</th>\n",
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       "      <th>Background_flat_4</th>\n",
       "      <th>Background_flat_5</th>\n",
       "      <th>Background_flat_6</th>\n",
       "      <th>Background_flat_7</th>\n",
       "      <th>Background_flat_8</th>\n",
       "      <th>GRO J1655-40_imx</th>\n",
       "      <th>GRO J1655-40_imy</th>\n",
       "      <th>GRO J1655-40_rate_0</th>\n",
       "      <th>GRO J1655-40_rate_1</th>\n",
       "      <th>GRO J1655-40_rate_2</th>\n",
       "      <th>GRO J1655-40_rate_3</th>\n",
       "      <th>GRO J1655-40_rate_4</th>\n",
       "      <th>GRO J1655-40_rate_5</th>\n",
       "      <th>GRO J1655-40_rate_6</th>\n",
       "      <th>GRO J1655-40_rate_7</th>\n",
       "      <th>GRO J1655-40_rate_8</th>\n",
       "      <th>GX 339-4_imx</th>\n",
       "      <th>GX 339-4_imy</th>\n",
       "      <th>GX 339-4_rate_0</th>\n",
       "      <th>GX 339-4_rate_1</th>\n",
       "      <th>GX 339-4_rate_2</th>\n",
       "      <th>GX 339-4_rate_3</th>\n",
       "      <th>GX 339-4_rate_4</th>\n",
       "      <th>GX 339-4_rate_5</th>\n",
       "      <th>GX 339-4_rate_6</th>\n",
       "      <th>GX 339-4_rate_7</th>\n",
       "      <th>GX 339-4_rate_8</th>\n",
       "      <th>Sco X-1_imx</th>\n",
       "      <th>Sco X-1_imy</th>\n",
       "      <th>Sco X-1_rate_0</th>\n",
       "      <th>Sco X-1_rate_1</th>\n",
       "      <th>Sco X-1_rate_2</th>\n",
       "      <th>Sco X-1_rate_3</th>\n",
       "      <th>Sco X-1_rate_4</th>\n",
       "      <th>Sco X-1_rate_5</th>\n",
       "      <th>Sco X-1_rate_6</th>\n",
       "      <th>Sco X-1_rate_7</th>\n",
       "      <th>Sco X-1_rate_8</th>\n",
       "      <th>corr_4U 1700-377_rate_0_GRO J1655-40_rate_0</th>\n",
       "      <th>corr_4U 1700-377_rate_0_GX 339-4_rate_0</th>\n",
       "      <th>corr_4U 1700-377_rate_1_GRO J1655-40_rate_1</th>\n",
       "      <th>corr_4U 1700-377_rate_1_GX 339-4_rate_1</th>\n",
       "      <th>corr_4U 1700-377_rate_2_GRO J1655-40_rate_2</th>\n",
       "      <th>corr_4U 1700-377_rate_2_GX 339-4_rate_2</th>\n",
       "      <th>corr_4U 1700-377_rate_3_GRO J1655-40_rate_3</th>\n",
       "      <th>corr_4U 1700-377_rate_3_GX 339-4_rate_3</th>\n",
       "      <th>corr_4U 1700-377_rate_4_GRO J1655-40_rate_4</th>\n",
       "      <th>corr_4U 1700-377_rate_4_GX 339-4_rate_4</th>\n",
       "      <th>corr_4U 1700-377_rate_5_GRO J1655-40_rate_5</th>\n",
       "      <th>corr_4U 1700-377_rate_5_GX 339-4_rate_5</th>\n",
       "      <th>corr_4U 1700-377_rate_6_GRO J1655-40_rate_6</th>\n",
       "      <th>corr_4U 1700-377_rate_6_GX 339-4_rate_6</th>\n",
       "      <th>corr_4U 1700-377_rate_7_GRO J1655-40_rate_7</th>\n",
       "      <th>corr_4U 1700-377_rate_7_GX 339-4_rate_7</th>\n",
       "      <th>corr_4U 1700-377_rate_8_GRO J1655-40_rate_8</th>\n",
       "      <th>corr_4U 1700-377_rate_8_GX 339-4_rate_8</th>\n",
       "      <th>corr_Background_bkg_rate_0_4U 1700-377_rate_0</th>\n",
       "      <th>corr_Background_bkg_rate_0_GRO J1655-40_rate_0</th>\n",
       "      <th>corr_Background_bkg_rate_0_GX 339-4_rate_0</th>\n",
       "      <th>corr_Background_bkg_rate_0_Sco X-1_rate_0</th>\n",
       "      <th>corr_Background_bkg_rate_1_4U 1700-377_rate_1</th>\n",
       "      <th>corr_Background_bkg_rate_1_GRO J1655-40_rate_1</th>\n",
       "      <th>corr_Background_bkg_rate_1_GX 339-4_rate_1</th>\n",
       "      <th>corr_Background_bkg_rate_1_Sco X-1_rate_1</th>\n",
       "      <th>corr_Background_bkg_rate_2_4U 1700-377_rate_2</th>\n",
       "      <th>corr_Background_bkg_rate_2_GRO J1655-40_rate_2</th>\n",
       "      <th>corr_Background_bkg_rate_2_GX 339-4_rate_2</th>\n",
       "      <th>corr_Background_bkg_rate_2_Sco X-1_rate_2</th>\n",
       "      <th>corr_Background_bkg_rate_3_4U 1700-377_rate_3</th>\n",
       "      <th>corr_Background_bkg_rate_3_GRO J1655-40_rate_3</th>\n",
       "      <th>corr_Background_bkg_rate_3_GX 339-4_rate_3</th>\n",
       "      <th>corr_Background_bkg_rate_3_Sco X-1_rate_3</th>\n",
       "      <th>corr_Background_bkg_rate_4_4U 1700-377_rate_4</th>\n",
       "      <th>corr_Background_bkg_rate_4_GRO J1655-40_rate_4</th>\n",
       "      <th>corr_Background_bkg_rate_4_GX 339-4_rate_4</th>\n",
       "      <th>corr_Background_bkg_rate_4_Sco X-1_rate_4</th>\n",
       "      <th>corr_Background_bkg_rate_5_4U 1700-377_rate_5</th>\n",
       "      <th>corr_Background_bkg_rate_5_GRO J1655-40_rate_5</th>\n",
       "      <th>corr_Background_bkg_rate_5_GX 339-4_rate_5</th>\n",
       "      <th>corr_Background_bkg_rate_5_Sco X-1_rate_5</th>\n",
       "      <th>corr_Background_bkg_rate_6_4U 1700-377_rate_6</th>\n",
       "      <th>corr_Background_bkg_rate_6_GRO J1655-40_rate_6</th>\n",
       "      <th>corr_Background_bkg_rate_6_GX 339-4_rate_6</th>\n",
       "      <th>corr_Background_bkg_rate_6_Sco X-1_rate_6</th>\n",
       "      <th>corr_Background_bkg_rate_7_4U 1700-377_rate_7</th>\n",
       "      <th>corr_Background_bkg_rate_7_GRO J1655-40_rate_7</th>\n",
       "      <th>corr_Background_bkg_rate_7_GX 339-4_rate_7</th>\n",
       "      <th>corr_Background_bkg_rate_7_Sco X-1_rate_7</th>\n",
       "      <th>corr_Background_bkg_rate_8_4U 1700-377_rate_8</th>\n",
       "      <th>corr_Background_bkg_rate_8_GRO J1655-40_rate_8</th>\n",
       "      <th>corr_Background_bkg_rate_8_GX 339-4_rate_8</th>\n",
       "      <th>corr_Background_bkg_rate_8_Sco X-1_rate_8</th>\n",
       "      <th>corr_GRO J1655-40_rate_0_GX 339-4_rate_0</th>\n",
       "      <th>corr_GRO J1655-40_rate_1_GX 339-4_rate_1</th>\n",
       "      <th>corr_GRO J1655-40_rate_2_GX 339-4_rate_2</th>\n",
       "      <th>corr_GRO J1655-40_rate_3_GX 339-4_rate_3</th>\n",
       "      <th>corr_GRO J1655-40_rate_4_GX 339-4_rate_4</th>\n",
       "      <th>corr_GRO J1655-40_rate_5_GX 339-4_rate_5</th>\n",
       "      <th>corr_GRO J1655-40_rate_6_GX 339-4_rate_6</th>\n",
       "      <th>corr_GRO J1655-40_rate_7_GX 339-4_rate_7</th>\n",
       "      <th>corr_GRO J1655-40_rate_8_GX 339-4_rate_8</th>\n",
       "      <th>corr_Sco X-1_rate_0_4U 1700-377_rate_0</th>\n",
       "      <th>corr_Sco X-1_rate_0_GRO J1655-40_rate_0</th>\n",
       "      <th>corr_Sco X-1_rate_0_GX 339-4_rate_0</th>\n",
       "      <th>corr_Sco X-1_rate_1_4U 1700-377_rate_1</th>\n",
       "      <th>corr_Sco X-1_rate_1_GRO J1655-40_rate_1</th>\n",
       "      <th>corr_Sco X-1_rate_1_GX 339-4_rate_1</th>\n",
       "      <th>corr_Sco X-1_rate_2_4U 1700-377_rate_2</th>\n",
       "      <th>corr_Sco X-1_rate_2_GRO J1655-40_rate_2</th>\n",
       "      <th>corr_Sco X-1_rate_2_GX 339-4_rate_2</th>\n",
       "      <th>corr_Sco X-1_rate_3_4U 1700-377_rate_3</th>\n",
       "      <th>corr_Sco X-1_rate_3_GRO J1655-40_rate_3</th>\n",
       "      <th>corr_Sco X-1_rate_3_GX 339-4_rate_3</th>\n",
       "      <th>corr_Sco X-1_rate_4_4U 1700-377_rate_4</th>\n",
       "      <th>corr_Sco X-1_rate_4_GRO J1655-40_rate_4</th>\n",
       "      <th>corr_Sco X-1_rate_4_GX 339-4_rate_4</th>\n",
       "      <th>corr_Sco X-1_rate_5_4U 1700-377_rate_5</th>\n",
       "      <th>corr_Sco X-1_rate_5_GRO J1655-40_rate_5</th>\n",
       "      <th>corr_Sco X-1_rate_5_GX 339-4_rate_5</th>\n",
       "      <th>corr_Sco X-1_rate_6_4U 1700-377_rate_6</th>\n",
       "      <th>corr_Sco X-1_rate_6_GRO J1655-40_rate_6</th>\n",
       "      <th>corr_Sco X-1_rate_6_GX 339-4_rate_6</th>\n",
       "      <th>corr_Sco X-1_rate_7_4U 1700-377_rate_7</th>\n",
       "      <th>corr_Sco X-1_rate_7_GRO J1655-40_rate_7</th>\n",
       "      <th>corr_Sco X-1_rate_7_GX 339-4_rate_7</th>\n",
       "      <th>corr_Sco X-1_rate_8_4U 1700-377_rate_8</th>\n",
       "      <th>corr_Sco X-1_rate_8_GRO J1655-40_rate_8</th>\n",
       "      <th>corr_Sco X-1_rate_8_GX 339-4_rate_8</th>\n",
       "      <th>dt</th>\n",
       "      <th>err_4U 1700-377_rate_0</th>\n",
       "      <th>err_4U 1700-377_rate_1</th>\n",
       "      <th>err_4U 1700-377_rate_2</th>\n",
       "      <th>err_4U 1700-377_rate_3</th>\n",
       "      <th>err_4U 1700-377_rate_4</th>\n",
       "      <th>err_4U 1700-377_rate_5</th>\n",
       "      <th>err_4U 1700-377_rate_6</th>\n",
       "      <th>err_4U 1700-377_rate_7</th>\n",
       "      <th>err_4U 1700-377_rate_8</th>\n",
       "      <th>err_Background_bkg_rate_0</th>\n",
       "      <th>err_Background_bkg_rate_1</th>\n",
       "      <th>err_Background_bkg_rate_2</th>\n",
       "      <th>err_Background_bkg_rate_3</th>\n",
       "      <th>err_Background_bkg_rate_4</th>\n",
       "      <th>err_Background_bkg_rate_5</th>\n",
       "      <th>err_Background_bkg_rate_6</th>\n",
       "      <th>err_Background_bkg_rate_7</th>\n",
       "      <th>err_Background_bkg_rate_8</th>\n",
       "      <th>err_GRO J1655-40_rate_0</th>\n",
       "      <th>err_GRO J1655-40_rate_1</th>\n",
       "      <th>err_GRO J1655-40_rate_2</th>\n",
       "      <th>err_GRO J1655-40_rate_3</th>\n",
       "      <th>err_GRO J1655-40_rate_4</th>\n",
       "      <th>err_GRO J1655-40_rate_5</th>\n",
       "      <th>err_GRO J1655-40_rate_6</th>\n",
       "      <th>err_GRO J1655-40_rate_7</th>\n",
       "      <th>err_GRO J1655-40_rate_8</th>\n",
       "      <th>err_GX 339-4_rate_0</th>\n",
       "      <th>err_GX 339-4_rate_1</th>\n",
       "      <th>err_GX 339-4_rate_2</th>\n",
       "      <th>err_GX 339-4_rate_3</th>\n",
       "      <th>err_GX 339-4_rate_4</th>\n",
       "      <th>err_GX 339-4_rate_5</th>\n",
       "      <th>err_GX 339-4_rate_6</th>\n",
       "      <th>err_GX 339-4_rate_7</th>\n",
       "      <th>err_GX 339-4_rate_8</th>\n",
       "      <th>err_Sco X-1_rate_0</th>\n",
       "      <th>err_Sco X-1_rate_1</th>\n",
       "      <th>err_Sco X-1_rate_2</th>\n",
       "      <th>err_Sco X-1_rate_3</th>\n",
       "      <th>err_Sco X-1_rate_4</th>\n",
       "      <th>err_Sco X-1_rate_5</th>\n",
       "      <th>err_Sco X-1_rate_6</th>\n",
       "      <th>err_Sco X-1_rate_7</th>\n",
       "      <th>err_Sco X-1_rate_8</th>\n",
       "      <th>exp</th>\n",
       "      <th>nllh</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.098149</td>\n",
       "      <td>-0.474208</td>\n",
       "      <td>0.012283</td>\n",
       "      <td>0.006913</td>\n",
       "      <td>0.003712</td>\n",
       "      <td>0.001373</td>\n",
       "      <td>0.001463</td>\n",
       "      <td>0.001246</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>4.405373e-04</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>0.091252</td>\n",
       "      <td>0.066992</td>\n",
       "      <td>0.040157</td>\n",
       "      <td>0.040028</td>\n",
       "      <td>0.035199</td>\n",
       "      <td>0.035563</td>\n",
       "      <td>0.033557</td>\n",
       "      <td>0.025227</td>\n",
       "      <td>0.018104</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.185963</td>\n",
       "      <td>0.076634</td>\n",
       "      <td>0.302086</td>\n",
       "      <td>0.761151</td>\n",
       "      <td>0.809143</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.113416</td>\n",
       "      <td>-0.535975</td>\n",
       "      <td>0.005951</td>\n",
       "      <td>0.001267</td>\n",
       "      <td>0.001034</td>\n",
       "      <td>0.002560</td>\n",
       "      <td>0.000482</td>\n",
       "      <td>5.810178e-04</td>\n",
       "      <td>0.001362</td>\n",
       "      <td>0.000960</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>0.008729</td>\n",
       "      <td>-0.694793</td>\n",
       "      <td>0.001315</td>\n",
       "      <td>0.003580</td>\n",
       "      <td>0.002313</td>\n",
       "      <td>0.001110</td>\n",
       "      <td>0.001396</td>\n",
       "      <td>0.002405</td>\n",
       "      <td>0.001058</td>\n",
       "      <td>0.001856</td>\n",
       "      <td>0.000440</td>\n",
       "      <td>-0.480179</td>\n",
       "      <td>-0.200157</td>\n",
       "      <td>0.050901</td>\n",
       "      <td>0.005911</td>\n",
       "      <td>0.000726</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>0.000153</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>-0.307400</td>\n",
       "      <td>-0.157821</td>\n",
       "      <td>-0.305291</td>\n",
       "      <td>-0.156358</td>\n",
       "      <td>-0.308877</td>\n",
       "      <td>-0.155719</td>\n",
       "      <td>-0.295721</td>\n",
       "      <td>-0.167028</td>\n",
       "      <td>-0.285878</td>\n",
       "      <td>-0.166209</td>\n",
       "      <td>-0.306634</td>\n",
       "      <td>-0.156080</td>\n",
       "      <td>-0.282360</td>\n",
       "      <td>-0.158684</td>\n",
       "      <td>-0.294169</td>\n",
       "      <td>-0.158156</td>\n",
       "      <td>-0.301966</td>\n",
       "      <td>-0.153359</td>\n",
       "      <td>-0.269181</td>\n",
       "      <td>-0.175101</td>\n",
       "      <td>-0.081679</td>\n",
       "      <td>-0.517906</td>\n",
       "      <td>-0.259445</td>\n",
       "      <td>-0.178472</td>\n",
       "      <td>-0.079952</td>\n",
       "      <td>-0.558391</td>\n",
       "      <td>-0.262969</td>\n",
       "      <td>-0.172946</td>\n",
       "      <td>-0.082878</td>\n",
       "      <td>-0.570545</td>\n",
       "      <td>-0.262986</td>\n",
       "      <td>-0.181972</td>\n",
       "      <td>-0.079831</td>\n",
       "      <td>-0.565326</td>\n",
       "      <td>-0.269010</td>\n",
       "      <td>-0.176318</td>\n",
       "      <td>-0.082854</td>\n",
       "      <td>-0.565746</td>\n",
       "      <td>-0.258306</td>\n",
       "      <td>-0.177077</td>\n",
       "      <td>-0.083484</td>\n",
       "      <td>-0.564370</td>\n",
       "      <td>-0.268479</td>\n",
       "      <td>-0.177517</td>\n",
       "      <td>-0.085036</td>\n",
       "      <td>-0.558384</td>\n",
       "      <td>-0.258486</td>\n",
       "      <td>-0.173624</td>\n",
       "      <td>-0.085728</td>\n",
       "      <td>-0.554043</td>\n",
       "      <td>-0.258227</td>\n",
       "      <td>-0.171413</td>\n",
       "      <td>-0.093856</td>\n",
       "      <td>-0.549823</td>\n",
       "      <td>-0.286884</td>\n",
       "      <td>-0.278956</td>\n",
       "      <td>-0.283080</td>\n",
       "      <td>-0.281136</td>\n",
       "      <td>-0.284086</td>\n",
       "      <td>-0.283279</td>\n",
       "      <td>-0.283494</td>\n",
       "      <td>-0.277543</td>\n",
       "      <td>-0.271455</td>\n",
       "      <td>-0.100206</td>\n",
       "      <td>-0.109050</td>\n",
       "      <td>-0.045890</td>\n",
       "      <td>-0.101971</td>\n",
       "      <td>-0.100361</td>\n",
       "      <td>-0.042978</td>\n",
       "      <td>-0.089231</td>\n",
       "      <td>-0.100263</td>\n",
       "      <td>-0.037002</td>\n",
       "      <td>-0.103343</td>\n",
       "      <td>-0.092279</td>\n",
       "      <td>-0.035664</td>\n",
       "      <td>-0.098309</td>\n",
       "      <td>-0.106096</td>\n",
       "      <td>-0.031574</td>\n",
       "      <td>-0.105922</td>\n",
       "      <td>-0.095471</td>\n",
       "      <td>-0.036337</td>\n",
       "      <td>-0.107506</td>\n",
       "      <td>-0.105102</td>\n",
       "      <td>-0.037341</td>\n",
       "      <td>-0.118062</td>\n",
       "      <td>-0.105467</td>\n",
       "      <td>-0.040132</td>\n",
       "      <td>-0.116710</td>\n",
       "      <td>-0.111292</td>\n",
       "      <td>-0.037853</td>\n",
       "      <td>-20.480</td>\n",
       "      <td>0.001207</td>\n",
       "      <td>0.000951</td>\n",
       "      <td>0.000723</td>\n",
       "      <td>0.000710</td>\n",
       "      <td>0.000661</td>\n",
       "      <td>0.000665</td>\n",
       "      <td>0.000634</td>\n",
       "      <td>0.000556</td>\n",
       "      <td>0.000466</td>\n",
       "      <td>0.000585</td>\n",
       "      <td>0.000487</td>\n",
       "      <td>0.000376</td>\n",
       "      <td>0.000373</td>\n",
       "      <td>0.000350</td>\n",
       "      <td>0.000350</td>\n",
       "      <td>0.000338</td>\n",
       "      <td>0.000292</td>\n",
       "      <td>0.000245</td>\n",
       "      <td>0.001320</td>\n",
       "      <td>0.001032</td>\n",
       "      <td>0.000788</td>\n",
       "      <td>0.000779</td>\n",
       "      <td>0.000717</td>\n",
       "      <td>0.000726</td>\n",
       "      <td>0.000695</td>\n",
       "      <td>0.000607</td>\n",
       "      <td>0.000511</td>\n",
       "      <td>0.001641</td>\n",
       "      <td>0.001290</td>\n",
       "      <td>0.000990</td>\n",
       "      <td>0.000970</td>\n",
       "      <td>0.000909</td>\n",
       "      <td>0.000919</td>\n",
       "      <td>0.000879</td>\n",
       "      <td>0.000777</td>\n",
       "      <td>0.000635</td>\n",
       "      <td>0.001092</td>\n",
       "      <td>0.000848</td>\n",
       "      <td>0.000644</td>\n",
       "      <td>0.000635</td>\n",
       "      <td>0.000595</td>\n",
       "      <td>0.000596</td>\n",
       "      <td>0.000575</td>\n",
       "      <td>0.000500</td>\n",
       "      <td>0.000418</td>\n",
       "      <td>55.2987</td>\n",
       "      <td>238693.942965</td>\n",
       "      <td>6.460184e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.098149</td>\n",
       "      <td>-0.474208</td>\n",
       "      <td>0.012347</td>\n",
       "      <td>0.006780</td>\n",
       "      <td>0.003702</td>\n",
       "      <td>0.001231</td>\n",
       "      <td>0.001346</td>\n",
       "      <td>0.001129</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>1.926993e-04</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>0.091379</td>\n",
       "      <td>0.066867</td>\n",
       "      <td>0.040137</td>\n",
       "      <td>0.040081</td>\n",
       "      <td>0.035169</td>\n",
       "      <td>0.035658</td>\n",
       "      <td>0.033654</td>\n",
       "      <td>0.025244</td>\n",
       "      <td>0.018061</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.185963</td>\n",
       "      <td>0.076634</td>\n",
       "      <td>0.302086</td>\n",
       "      <td>0.761151</td>\n",
       "      <td>0.809143</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.113416</td>\n",
       "      <td>-0.535975</td>\n",
       "      <td>0.005820</td>\n",
       "      <td>0.001430</td>\n",
       "      <td>0.000759</td>\n",
       "      <td>0.002518</td>\n",
       "      <td>0.000663</td>\n",
       "      <td>5.450543e-04</td>\n",
       "      <td>0.001158</td>\n",
       "      <td>0.000979</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>0.008729</td>\n",
       "      <td>-0.694793</td>\n",
       "      <td>0.001541</td>\n",
       "      <td>0.003928</td>\n",
       "      <td>0.002525</td>\n",
       "      <td>0.001094</td>\n",
       "      <td>0.001409</td>\n",
       "      <td>0.002327</td>\n",
       "      <td>0.001109</td>\n",
       "      <td>0.001880</td>\n",
       "      <td>0.000491</td>\n",
       "      <td>-0.480179</td>\n",
       "      <td>-0.200157</td>\n",
       "      <td>0.050764</td>\n",
       "      <td>0.005968</td>\n",
       "      <td>0.000776</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>0.000095</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>-0.306465</td>\n",
       "      <td>-0.158010</td>\n",
       "      <td>-0.304834</td>\n",
       "      <td>-0.156392</td>\n",
       "      <td>-0.309741</td>\n",
       "      <td>-0.157482</td>\n",
       "      <td>-0.295932</td>\n",
       "      <td>-0.167068</td>\n",
       "      <td>-0.286307</td>\n",
       "      <td>-0.167772</td>\n",
       "      <td>-0.307173</td>\n",
       "      <td>-0.158629</td>\n",
       "      <td>-0.281759</td>\n",
       "      <td>-0.158478</td>\n",
       "      <td>-0.297439</td>\n",
       "      <td>-0.157836</td>\n",
       "      <td>-0.301246</td>\n",
       "      <td>-0.155041</td>\n",
       "      <td>-0.269462</td>\n",
       "      <td>-0.175559</td>\n",
       "      <td>-0.081116</td>\n",
       "      <td>-0.518001</td>\n",
       "      <td>-0.259981</td>\n",
       "      <td>-0.177888</td>\n",
       "      <td>-0.080178</td>\n",
       "      <td>-0.558385</td>\n",
       "      <td>-0.262930</td>\n",
       "      <td>-0.174257</td>\n",
       "      <td>-0.081694</td>\n",
       "      <td>-0.570749</td>\n",
       "      <td>-0.264231</td>\n",
       "      <td>-0.181767</td>\n",
       "      <td>-0.079405</td>\n",
       "      <td>-0.565425</td>\n",
       "      <td>-0.268953</td>\n",
       "      <td>-0.174185</td>\n",
       "      <td>-0.082730</td>\n",
       "      <td>-0.565537</td>\n",
       "      <td>-0.257487</td>\n",
       "      <td>-0.177816</td>\n",
       "      <td>-0.082604</td>\n",
       "      <td>-0.565327</td>\n",
       "      <td>-0.268641</td>\n",
       "      <td>-0.177049</td>\n",
       "      <td>-0.086423</td>\n",
       "      <td>-0.558006</td>\n",
       "      <td>-0.259436</td>\n",
       "      <td>-0.171754</td>\n",
       "      <td>-0.085669</td>\n",
       "      <td>-0.553946</td>\n",
       "      <td>-0.259348</td>\n",
       "      <td>-0.171338</td>\n",
       "      <td>-0.094018</td>\n",
       "      <td>-0.551218</td>\n",
       "      <td>-0.287483</td>\n",
       "      <td>-0.279682</td>\n",
       "      <td>-0.280583</td>\n",
       "      <td>-0.280958</td>\n",
       "      <td>-0.284283</td>\n",
       "      <td>-0.280571</td>\n",
       "      <td>-0.285443</td>\n",
       "      <td>-0.275391</td>\n",
       "      <td>-0.270632</td>\n",
       "      <td>-0.100104</td>\n",
       "      <td>-0.108911</td>\n",
       "      <td>-0.046048</td>\n",
       "      <td>-0.101636</td>\n",
       "      <td>-0.101127</td>\n",
       "      <td>-0.041588</td>\n",
       "      <td>-0.088256</td>\n",
       "      <td>-0.099395</td>\n",
       "      <td>-0.038385</td>\n",
       "      <td>-0.101703</td>\n",
       "      <td>-0.092903</td>\n",
       "      <td>-0.035902</td>\n",
       "      <td>-0.098123</td>\n",
       "      <td>-0.109014</td>\n",
       "      <td>-0.030490</td>\n",
       "      <td>-0.105630</td>\n",
       "      <td>-0.094843</td>\n",
       "      <td>-0.037240</td>\n",
       "      <td>-0.108005</td>\n",
       "      <td>-0.107028</td>\n",
       "      <td>-0.033304</td>\n",
       "      <td>-0.116806</td>\n",
       "      <td>-0.106476</td>\n",
       "      <td>-0.041395</td>\n",
       "      <td>-0.115349</td>\n",
       "      <td>-0.109787</td>\n",
       "      <td>-0.037059</td>\n",
       "      <td>-19.456</td>\n",
       "      <td>0.001196</td>\n",
       "      <td>0.000941</td>\n",
       "      <td>0.000717</td>\n",
       "      <td>0.000703</td>\n",
       "      <td>0.000655</td>\n",
       "      <td>0.000659</td>\n",
       "      <td>0.000628</td>\n",
       "      <td>0.000550</td>\n",
       "      <td>0.000461</td>\n",
       "      <td>0.000580</td>\n",
       "      <td>0.000482</td>\n",
       "      <td>0.000373</td>\n",
       "      <td>0.000370</td>\n",
       "      <td>0.000346</td>\n",
       "      <td>0.000347</td>\n",
       "      <td>0.000336</td>\n",
       "      <td>0.000289</td>\n",
       "      <td>0.000243</td>\n",
       "      <td>0.001308</td>\n",
       "      <td>0.001022</td>\n",
       "      <td>0.000780</td>\n",
       "      <td>0.000772</td>\n",
       "      <td>0.000712</td>\n",
       "      <td>0.000720</td>\n",
       "      <td>0.000689</td>\n",
       "      <td>0.000601</td>\n",
       "      <td>0.000505</td>\n",
       "      <td>0.001627</td>\n",
       "      <td>0.001279</td>\n",
       "      <td>0.000981</td>\n",
       "      <td>0.000960</td>\n",
       "      <td>0.000901</td>\n",
       "      <td>0.000910</td>\n",
       "      <td>0.000871</td>\n",
       "      <td>0.000768</td>\n",
       "      <td>0.000629</td>\n",
       "      <td>0.001083</td>\n",
       "      <td>0.000840</td>\n",
       "      <td>0.000638</td>\n",
       "      <td>0.000629</td>\n",
       "      <td>0.000590</td>\n",
       "      <td>0.000591</td>\n",
       "      <td>0.000570</td>\n",
       "      <td>0.000495</td>\n",
       "      <td>0.000414</td>\n",
       "      <td>56.3227</td>\n",
       "      <td>240133.897390</td>\n",
       "      <td>6.460184e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.098149</td>\n",
       "      <td>-0.474208</td>\n",
       "      <td>0.012429</td>\n",
       "      <td>0.006578</td>\n",
       "      <td>0.003800</td>\n",
       "      <td>0.001107</td>\n",
       "      <td>0.001207</td>\n",
       "      <td>0.001223</td>\n",
       "      <td>7.676589e-05</td>\n",
       "      <td>1.201284e-04</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>0.091715</td>\n",
       "      <td>0.066808</td>\n",
       "      <td>0.040104</td>\n",
       "      <td>0.040058</td>\n",
       "      <td>0.035117</td>\n",
       "      <td>0.035700</td>\n",
       "      <td>0.033540</td>\n",
       "      <td>0.025284</td>\n",
       "      <td>0.018039</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.185963</td>\n",
       "      <td>0.076634</td>\n",
       "      <td>0.302086</td>\n",
       "      <td>0.761151</td>\n",
       "      <td>0.809143</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.113416</td>\n",
       "      <td>-0.535975</td>\n",
       "      <td>0.005816</td>\n",
       "      <td>0.001594</td>\n",
       "      <td>0.000743</td>\n",
       "      <td>0.002582</td>\n",
       "      <td>0.000534</td>\n",
       "      <td>2.236838e-04</td>\n",
       "      <td>0.001229</td>\n",
       "      <td>0.000992</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>0.008729</td>\n",
       "      <td>-0.694793</td>\n",
       "      <td>0.001466</td>\n",
       "      <td>0.004626</td>\n",
       "      <td>0.002726</td>\n",
       "      <td>0.001433</td>\n",
       "      <td>0.001273</td>\n",
       "      <td>0.002053</td>\n",
       "      <td>0.001404</td>\n",
       "      <td>0.001892</td>\n",
       "      <td>0.000466</td>\n",
       "      <td>-0.480179</td>\n",
       "      <td>-0.200157</td>\n",
       "      <td>0.050114</td>\n",
       "      <td>0.006215</td>\n",
       "      <td>0.000897</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>0.000230</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>-0.306480</td>\n",
       "      <td>-0.157311</td>\n",
       "      <td>-0.305492</td>\n",
       "      <td>-0.156634</td>\n",
       "      <td>-0.310756</td>\n",
       "      <td>-0.157231</td>\n",
       "      <td>-0.294252</td>\n",
       "      <td>-0.166494</td>\n",
       "      <td>-0.286683</td>\n",
       "      <td>-0.166858</td>\n",
       "      <td>-0.306579</td>\n",
       "      <td>-0.158157</td>\n",
       "      <td>-0.283375</td>\n",
       "      <td>-0.157846</td>\n",
       "      <td>-0.298370</td>\n",
       "      <td>-0.154133</td>\n",
       "      <td>-0.302546</td>\n",
       "      <td>-0.157091</td>\n",
       "      <td>-0.269688</td>\n",
       "      <td>-0.175237</td>\n",
       "      <td>-0.080897</td>\n",
       "      <td>-0.518716</td>\n",
       "      <td>-0.259270</td>\n",
       "      <td>-0.178106</td>\n",
       "      <td>-0.079329</td>\n",
       "      <td>-0.557598</td>\n",
       "      <td>-0.262459</td>\n",
       "      <td>-0.173499</td>\n",
       "      <td>-0.082309</td>\n",
       "      <td>-0.570348</td>\n",
       "      <td>-0.265669</td>\n",
       "      <td>-0.181737</td>\n",
       "      <td>-0.078773</td>\n",
       "      <td>-0.565593</td>\n",
       "      <td>-0.269247</td>\n",
       "      <td>-0.174381</td>\n",
       "      <td>-0.082378</td>\n",
       "      <td>-0.564553</td>\n",
       "      <td>-0.258526</td>\n",
       "      <td>-0.178547</td>\n",
       "      <td>-0.081883</td>\n",
       "      <td>-0.565846</td>\n",
       "      <td>-0.268727</td>\n",
       "      <td>-0.175878</td>\n",
       "      <td>-0.086075</td>\n",
       "      <td>-0.559615</td>\n",
       "      <td>-0.260824</td>\n",
       "      <td>-0.172574</td>\n",
       "      <td>-0.086243</td>\n",
       "      <td>-0.553877</td>\n",
       "      <td>-0.259106</td>\n",
       "      <td>-0.173254</td>\n",
       "      <td>-0.093755</td>\n",
       "      <td>-0.551217</td>\n",
       "      <td>-0.287878</td>\n",
       "      <td>-0.278866</td>\n",
       "      <td>-0.280174</td>\n",
       "      <td>-0.279262</td>\n",
       "      <td>-0.283980</td>\n",
       "      <td>-0.283016</td>\n",
       "      <td>-0.287743</td>\n",
       "      <td>-0.278001</td>\n",
       "      <td>-0.266967</td>\n",
       "      <td>-0.099554</td>\n",
       "      <td>-0.109109</td>\n",
       "      <td>-0.046656</td>\n",
       "      <td>-0.103285</td>\n",
       "      <td>-0.100485</td>\n",
       "      <td>-0.042361</td>\n",
       "      <td>-0.088947</td>\n",
       "      <td>-0.100366</td>\n",
       "      <td>-0.037034</td>\n",
       "      <td>-0.100700</td>\n",
       "      <td>-0.093609</td>\n",
       "      <td>-0.037982</td>\n",
       "      <td>-0.098059</td>\n",
       "      <td>-0.109961</td>\n",
       "      <td>-0.031909</td>\n",
       "      <td>-0.103893</td>\n",
       "      <td>-0.094424</td>\n",
       "      <td>-0.037335</td>\n",
       "      <td>-0.106459</td>\n",
       "      <td>-0.106138</td>\n",
       "      <td>-0.032242</td>\n",
       "      <td>-0.116404</td>\n",
       "      <td>-0.103507</td>\n",
       "      <td>-0.041457</td>\n",
       "      <td>-0.116796</td>\n",
       "      <td>-0.107271</td>\n",
       "      <td>-0.037225</td>\n",
       "      <td>-18.432</td>\n",
       "      <td>0.001186</td>\n",
       "      <td>0.000934</td>\n",
       "      <td>0.000712</td>\n",
       "      <td>0.000696</td>\n",
       "      <td>0.000648</td>\n",
       "      <td>0.000652</td>\n",
       "      <td>0.000622</td>\n",
       "      <td>0.000545</td>\n",
       "      <td>0.000456</td>\n",
       "      <td>0.000576</td>\n",
       "      <td>0.000478</td>\n",
       "      <td>0.000370</td>\n",
       "      <td>0.000366</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.000344</td>\n",
       "      <td>0.000332</td>\n",
       "      <td>0.000287</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.001297</td>\n",
       "      <td>0.001014</td>\n",
       "      <td>0.000774</td>\n",
       "      <td>0.000764</td>\n",
       "      <td>0.000705</td>\n",
       "      <td>0.000712</td>\n",
       "      <td>0.000684</td>\n",
       "      <td>0.000596</td>\n",
       "      <td>0.000500</td>\n",
       "      <td>0.001614</td>\n",
       "      <td>0.001271</td>\n",
       "      <td>0.000974</td>\n",
       "      <td>0.000953</td>\n",
       "      <td>0.000891</td>\n",
       "      <td>0.000899</td>\n",
       "      <td>0.000866</td>\n",
       "      <td>0.000762</td>\n",
       "      <td>0.000622</td>\n",
       "      <td>0.001073</td>\n",
       "      <td>0.000833</td>\n",
       "      <td>0.000633</td>\n",
       "      <td>0.000624</td>\n",
       "      <td>0.000584</td>\n",
       "      <td>0.000585</td>\n",
       "      <td>0.000564</td>\n",
       "      <td>0.000491</td>\n",
       "      <td>0.000409</td>\n",
       "      <td>57.3467</td>\n",
       "      <td>241552.567034</td>\n",
       "      <td>6.460184e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.098149</td>\n",
       "      <td>-0.474208</td>\n",
       "      <td>0.012180</td>\n",
       "      <td>0.007136</td>\n",
       "      <td>0.004107</td>\n",
       "      <td>0.001041</td>\n",
       "      <td>0.001015</td>\n",
       "      <td>0.001170</td>\n",
       "      <td>1.520669e-04</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>0.091637</td>\n",
       "      <td>0.066603</td>\n",
       "      <td>0.040075</td>\n",
       "      <td>0.040122</td>\n",
       "      <td>0.035168</td>\n",
       "      <td>0.035781</td>\n",
       "      <td>0.033512</td>\n",
       "      <td>0.025289</td>\n",
       "      <td>0.018023</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.185963</td>\n",
       "      <td>0.076634</td>\n",
       "      <td>0.302086</td>\n",
       "      <td>0.761151</td>\n",
       "      <td>0.809143</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.113416</td>\n",
       "      <td>-0.535975</td>\n",
       "      <td>0.006061</td>\n",
       "      <td>0.001409</td>\n",
       "      <td>0.000713</td>\n",
       "      <td>0.002482</td>\n",
       "      <td>0.000623</td>\n",
       "      <td>1.446681e-04</td>\n",
       "      <td>0.001357</td>\n",
       "      <td>0.000989</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>0.008729</td>\n",
       "      <td>-0.694793</td>\n",
       "      <td>0.001639</td>\n",
       "      <td>0.004308</td>\n",
       "      <td>0.002802</td>\n",
       "      <td>0.001413</td>\n",
       "      <td>0.001128</td>\n",
       "      <td>0.001979</td>\n",
       "      <td>0.001014</td>\n",
       "      <td>0.002041</td>\n",
       "      <td>0.000681</td>\n",
       "      <td>-0.480179</td>\n",
       "      <td>-0.200157</td>\n",
       "      <td>0.050125</td>\n",
       "      <td>0.006322</td>\n",
       "      <td>0.000705</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>0.000190</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>-0.306448</td>\n",
       "      <td>-0.157688</td>\n",
       "      <td>-0.306694</td>\n",
       "      <td>-0.156276</td>\n",
       "      <td>-0.308068</td>\n",
       "      <td>-0.157145</td>\n",
       "      <td>-0.294994</td>\n",
       "      <td>-0.165264</td>\n",
       "      <td>-0.286064</td>\n",
       "      <td>-0.167757</td>\n",
       "      <td>-0.306509</td>\n",
       "      <td>-0.156749</td>\n",
       "      <td>-0.282886</td>\n",
       "      <td>-0.157402</td>\n",
       "      <td>-0.302226</td>\n",
       "      <td>-0.154498</td>\n",
       "      <td>-0.302445</td>\n",
       "      <td>-0.156757</td>\n",
       "      <td>-0.269547</td>\n",
       "      <td>-0.175795</td>\n",
       "      <td>-0.080770</td>\n",
       "      <td>-0.518699</td>\n",
       "      <td>-0.258758</td>\n",
       "      <td>-0.178473</td>\n",
       "      <td>-0.079368</td>\n",
       "      <td>-0.558076</td>\n",
       "      <td>-0.261467</td>\n",
       "      <td>-0.174649</td>\n",
       "      <td>-0.081731</td>\n",
       "      <td>-0.570348</td>\n",
       "      <td>-0.265968</td>\n",
       "      <td>-0.181520</td>\n",
       "      <td>-0.078689</td>\n",
       "      <td>-0.565872</td>\n",
       "      <td>-0.269465</td>\n",
       "      <td>-0.174005</td>\n",
       "      <td>-0.082435</td>\n",
       "      <td>-0.564511</td>\n",
       "      <td>-0.260547</td>\n",
       "      <td>-0.176912</td>\n",
       "      <td>-0.081368</td>\n",
       "      <td>-0.564826</td>\n",
       "      <td>-0.269437</td>\n",
       "      <td>-0.176505</td>\n",
       "      <td>-0.087458</td>\n",
       "      <td>-0.558729</td>\n",
       "      <td>-0.259727</td>\n",
       "      <td>-0.170856</td>\n",
       "      <td>-0.086962</td>\n",
       "      <td>-0.554847</td>\n",
       "      <td>-0.262023</td>\n",
       "      <td>-0.171913</td>\n",
       "      <td>-0.091884</td>\n",
       "      <td>-0.550599</td>\n",
       "      <td>-0.286517</td>\n",
       "      <td>-0.279048</td>\n",
       "      <td>-0.280831</td>\n",
       "      <td>-0.279563</td>\n",
       "      <td>-0.284438</td>\n",
       "      <td>-0.283527</td>\n",
       "      <td>-0.288653</td>\n",
       "      <td>-0.277755</td>\n",
       "      <td>-0.268125</td>\n",
       "      <td>-0.100188</td>\n",
       "      <td>-0.108227</td>\n",
       "      <td>-0.047181</td>\n",
       "      <td>-0.102467</td>\n",
       "      <td>-0.099289</td>\n",
       "      <td>-0.042834</td>\n",
       "      <td>-0.090455</td>\n",
       "      <td>-0.100286</td>\n",
       "      <td>-0.037557</td>\n",
       "      <td>-0.100563</td>\n",
       "      <td>-0.093762</td>\n",
       "      <td>-0.038265</td>\n",
       "      <td>-0.098489</td>\n",
       "      <td>-0.110508</td>\n",
       "      <td>-0.031144</td>\n",
       "      <td>-0.101789</td>\n",
       "      <td>-0.097327</td>\n",
       "      <td>-0.038895</td>\n",
       "      <td>-0.105739</td>\n",
       "      <td>-0.105435</td>\n",
       "      <td>-0.031604</td>\n",
       "      <td>-0.115655</td>\n",
       "      <td>-0.104242</td>\n",
       "      <td>-0.039254</td>\n",
       "      <td>-0.114413</td>\n",
       "      <td>-0.109015</td>\n",
       "      <td>-0.038376</td>\n",
       "      <td>-17.408</td>\n",
       "      <td>0.001175</td>\n",
       "      <td>0.000926</td>\n",
       "      <td>0.000705</td>\n",
       "      <td>0.000690</td>\n",
       "      <td>0.000642</td>\n",
       "      <td>0.000646</td>\n",
       "      <td>0.000616</td>\n",
       "      <td>0.000541</td>\n",
       "      <td>0.000452</td>\n",
       "      <td>0.000570</td>\n",
       "      <td>0.000473</td>\n",
       "      <td>0.000366</td>\n",
       "      <td>0.000364</td>\n",
       "      <td>0.000340</td>\n",
       "      <td>0.000341</td>\n",
       "      <td>0.000329</td>\n",
       "      <td>0.000284</td>\n",
       "      <td>0.000238</td>\n",
       "      <td>0.001285</td>\n",
       "      <td>0.001005</td>\n",
       "      <td>0.000767</td>\n",
       "      <td>0.000758</td>\n",
       "      <td>0.000699</td>\n",
       "      <td>0.000705</td>\n",
       "      <td>0.000678</td>\n",
       "      <td>0.000591</td>\n",
       "      <td>0.000496</td>\n",
       "      <td>0.001599</td>\n",
       "      <td>0.001258</td>\n",
       "      <td>0.000965</td>\n",
       "      <td>0.000944</td>\n",
       "      <td>0.000882</td>\n",
       "      <td>0.000890</td>\n",
       "      <td>0.000857</td>\n",
       "      <td>0.000756</td>\n",
       "      <td>0.000620</td>\n",
       "      <td>0.001064</td>\n",
       "      <td>0.000825</td>\n",
       "      <td>0.000627</td>\n",
       "      <td>0.000618</td>\n",
       "      <td>0.000579</td>\n",
       "      <td>0.000580</td>\n",
       "      <td>0.000560</td>\n",
       "      <td>0.000486</td>\n",
       "      <td>0.000406</td>\n",
       "      <td>58.3707</td>\n",
       "      <td>242880.079254</td>\n",
       "      <td>6.460184e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.098149</td>\n",
       "      <td>-0.474208</td>\n",
       "      <td>0.012154</td>\n",
       "      <td>0.007424</td>\n",
       "      <td>0.004079</td>\n",
       "      <td>0.000995</td>\n",
       "      <td>0.001283</td>\n",
       "      <td>0.001383</td>\n",
       "      <td>7.547491e-05</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>0.091601</td>\n",
       "      <td>0.066640</td>\n",
       "      <td>0.040147</td>\n",
       "      <td>0.040183</td>\n",
       "      <td>0.035179</td>\n",
       "      <td>0.035717</td>\n",
       "      <td>0.033533</td>\n",
       "      <td>0.025242</td>\n",
       "      <td>0.018054</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.185963</td>\n",
       "      <td>0.076634</td>\n",
       "      <td>0.302086</td>\n",
       "      <td>0.761151</td>\n",
       "      <td>0.809143</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.113416</td>\n",
       "      <td>-0.535975</td>\n",
       "      <td>0.006266</td>\n",
       "      <td>0.001341</td>\n",
       "      <td>0.000779</td>\n",
       "      <td>0.002457</td>\n",
       "      <td>0.000404</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>0.001165</td>\n",
       "      <td>0.001027</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>0.008729</td>\n",
       "      <td>-0.694793</td>\n",
       "      <td>0.001054</td>\n",
       "      <td>0.004296</td>\n",
       "      <td>0.002432</td>\n",
       "      <td>0.001725</td>\n",
       "      <td>0.001019</td>\n",
       "      <td>0.001753</td>\n",
       "      <td>0.001182</td>\n",
       "      <td>0.001861</td>\n",
       "      <td>0.000581</td>\n",
       "      <td>-0.480179</td>\n",
       "      <td>-0.200157</td>\n",
       "      <td>0.050201</td>\n",
       "      <td>0.005968</td>\n",
       "      <td>0.000689</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>0.000099</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>5.000000e-08</td>\n",
       "      <td>-0.305521</td>\n",
       "      <td>-0.157040</td>\n",
       "      <td>-0.306484</td>\n",
       "      <td>-0.157106</td>\n",
       "      <td>-0.306766</td>\n",
       "      <td>-0.155967</td>\n",
       "      <td>-0.294322</td>\n",
       "      <td>-0.164455</td>\n",
       "      <td>-0.286773</td>\n",
       "      <td>-0.167261</td>\n",
       "      <td>-0.309981</td>\n",
       "      <td>-0.156018</td>\n",
       "      <td>-0.284688</td>\n",
       "      <td>-0.156748</td>\n",
       "      <td>-0.302023</td>\n",
       "      <td>-0.154595</td>\n",
       "      <td>-0.301675</td>\n",
       "      <td>-0.154922</td>\n",
       "      <td>-0.269840</td>\n",
       "      <td>-0.174972</td>\n",
       "      <td>-0.081785</td>\n",
       "      <td>-0.518268</td>\n",
       "      <td>-0.258410</td>\n",
       "      <td>-0.179505</td>\n",
       "      <td>-0.079406</td>\n",
       "      <td>-0.559285</td>\n",
       "      <td>-0.261759</td>\n",
       "      <td>-0.174622</td>\n",
       "      <td>-0.082329</td>\n",
       "      <td>-0.569753</td>\n",
       "      <td>-0.266352</td>\n",
       "      <td>-0.181038</td>\n",
       "      <td>-0.079885</td>\n",
       "      <td>-0.566133</td>\n",
       "      <td>-0.268539</td>\n",
       "      <td>-0.175225</td>\n",
       "      <td>-0.080756</td>\n",
       "      <td>-0.564209</td>\n",
       "      <td>-0.259736</td>\n",
       "      <td>-0.177045</td>\n",
       "      <td>-0.081605</td>\n",
       "      <td>-0.565115</td>\n",
       "      <td>-0.269567</td>\n",
       "      <td>-0.175474</td>\n",
       "      <td>-0.089064</td>\n",
       "      <td>-0.558900</td>\n",
       "      <td>-0.260532</td>\n",
       "      <td>-0.170590</td>\n",
       "      <td>-0.086488</td>\n",
       "      <td>-0.554753</td>\n",
       "      <td>-0.262988</td>\n",
       "      <td>-0.171898</td>\n",
       "      <td>-0.090964</td>\n",
       "      <td>-0.549263</td>\n",
       "      <td>-0.287618</td>\n",
       "      <td>-0.278083</td>\n",
       "      <td>-0.282292</td>\n",
       "      <td>-0.279371</td>\n",
       "      <td>-0.283810</td>\n",
       "      <td>-0.282526</td>\n",
       "      <td>-0.286779</td>\n",
       "      <td>-0.278745</td>\n",
       "      <td>-0.269135</td>\n",
       "      <td>-0.100639</td>\n",
       "      <td>-0.109345</td>\n",
       "      <td>-0.046057</td>\n",
       "      <td>-0.101791</td>\n",
       "      <td>-0.097952</td>\n",
       "      <td>-0.042781</td>\n",
       "      <td>-0.091925</td>\n",
       "      <td>-0.100125</td>\n",
       "      <td>-0.037215</td>\n",
       "      <td>-0.100826</td>\n",
       "      <td>-0.094226</td>\n",
       "      <td>-0.036878</td>\n",
       "      <td>-0.098810</td>\n",
       "      <td>-0.109156</td>\n",
       "      <td>-0.034886</td>\n",
       "      <td>-0.101308</td>\n",
       "      <td>-0.095477</td>\n",
       "      <td>-0.040000</td>\n",
       "      <td>-0.105295</td>\n",
       "      <td>-0.106730</td>\n",
       "      <td>-0.030134</td>\n",
       "      <td>-0.114664</td>\n",
       "      <td>-0.103894</td>\n",
       "      <td>-0.040365</td>\n",
       "      <td>-0.113940</td>\n",
       "      <td>-0.110575</td>\n",
       "      <td>-0.040941</td>\n",
       "      <td>-16.384</td>\n",
       "      <td>0.001164</td>\n",
       "      <td>0.000919</td>\n",
       "      <td>0.000699</td>\n",
       "      <td>0.000685</td>\n",
       "      <td>0.000637</td>\n",
       "      <td>0.000641</td>\n",
       "      <td>0.000611</td>\n",
       "      <td>0.000535</td>\n",
       "      <td>0.000448</td>\n",
       "      <td>0.000565</td>\n",
       "      <td>0.000470</td>\n",
       "      <td>0.000363</td>\n",
       "      <td>0.000361</td>\n",
       "      <td>0.000337</td>\n",
       "      <td>0.000338</td>\n",
       "      <td>0.000326</td>\n",
       "      <td>0.000281</td>\n",
       "      <td>0.000236</td>\n",
       "      <td>0.001274</td>\n",
       "      <td>0.000995</td>\n",
       "      <td>0.000760</td>\n",
       "      <td>0.000751</td>\n",
       "      <td>0.000691</td>\n",
       "      <td>0.000699</td>\n",
       "      <td>0.000671</td>\n",
       "      <td>0.000585</td>\n",
       "      <td>0.000492</td>\n",
       "      <td>0.001583</td>\n",
       "      <td>0.001247</td>\n",
       "      <td>0.000955</td>\n",
       "      <td>0.000938</td>\n",
       "      <td>0.000874</td>\n",
       "      <td>0.000880</td>\n",
       "      <td>0.000849</td>\n",
       "      <td>0.000748</td>\n",
       "      <td>0.000614</td>\n",
       "      <td>0.001054</td>\n",
       "      <td>0.000817</td>\n",
       "      <td>0.000621</td>\n",
       "      <td>0.000613</td>\n",
       "      <td>0.000574</td>\n",
       "      <td>0.000574</td>\n",
       "      <td>0.000555</td>\n",
       "      <td>0.000481</td>\n",
       "      <td>0.000404</td>\n",
       "      <td>59.3947</td>\n",
       "      <td>244131.759490</td>\n",
       "      <td>6.460184e+08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   4U 1700-377_imx  4U 1700-377_imy  4U 1700-377_rate_0  4U 1700-377_rate_1  \\\n",
       "0        -0.098149        -0.474208            0.012283            0.006913   \n",
       "1        -0.098149        -0.474208            0.012347            0.006780   \n",
       "2        -0.098149        -0.474208            0.012429            0.006578   \n",
       "3        -0.098149        -0.474208            0.012180            0.007136   \n",
       "4        -0.098149        -0.474208            0.012154            0.007424   \n",
       "\n",
       "   4U 1700-377_rate_2  4U 1700-377_rate_3  4U 1700-377_rate_4  \\\n",
       "0            0.003712            0.001373            0.001463   \n",
       "1            0.003702            0.001231            0.001346   \n",
       "2            0.003800            0.001107            0.001207   \n",
       "3            0.004107            0.001041            0.001015   \n",
       "4            0.004079            0.000995            0.001283   \n",
       "\n",
       "   4U 1700-377_rate_5  4U 1700-377_rate_6  4U 1700-377_rate_7  \\\n",
       "0            0.001246        5.000000e-08        4.405373e-04   \n",
       "1            0.001129        5.000000e-08        1.926993e-04   \n",
       "2            0.001223        7.676589e-05        1.201284e-04   \n",
       "3            0.001170        1.520669e-04        5.000000e-08   \n",
       "4            0.001383        7.547491e-05        5.000000e-08   \n",
       "\n",
       "   4U 1700-377_rate_8  Background_bkg_rate_0  Background_bkg_rate_1  \\\n",
       "0        5.000000e-08               0.091252               0.066992   \n",
       "1        5.000000e-08               0.091379               0.066867   \n",
       "2        5.000000e-08               0.091715               0.066808   \n",
       "3        5.000000e-08               0.091637               0.066603   \n",
       "4        5.000000e-08               0.091601               0.066640   \n",
       "\n",
       "   Background_bkg_rate_2  Background_bkg_rate_3  Background_bkg_rate_4  \\\n",
       "0               0.040157               0.040028               0.035199   \n",
       "1               0.040137               0.040081               0.035169   \n",
       "2               0.040104               0.040058               0.035117   \n",
       "3               0.040075               0.040122               0.035168   \n",
       "4               0.040147               0.040183               0.035179   \n",
       "\n",
       "   Background_bkg_rate_5  Background_bkg_rate_6  Background_bkg_rate_7  \\\n",
       "0               0.035563               0.033557               0.025227   \n",
       "1               0.035658               0.033654               0.025244   \n",
       "2               0.035700               0.033540               0.025284   \n",
       "3               0.035781               0.033512               0.025289   \n",
       "4               0.035717               0.033533               0.025242   \n",
       "\n",
       "   Background_bkg_rate_8  Background_flat_0  Background_flat_1  \\\n",
       "0               0.018104                0.0                0.0   \n",
       "1               0.018061                0.0                0.0   \n",
       "2               0.018039                0.0                0.0   \n",
       "3               0.018023                0.0                0.0   \n",
       "4               0.018054                0.0                0.0   \n",
       "\n",
       "   Background_flat_2  Background_flat_3  Background_flat_4  Background_flat_5  \\\n",
       "0           0.185963           0.076634           0.302086           0.761151   \n",
       "1           0.185963           0.076634           0.302086           0.761151   \n",
       "2           0.185963           0.076634           0.302086           0.761151   \n",
       "3           0.185963           0.076634           0.302086           0.761151   \n",
       "4           0.185963           0.076634           0.302086           0.761151   \n",
       "\n",
       "   Background_flat_6  Background_flat_7  Background_flat_8  GRO J1655-40_imx  \\\n",
       "0           0.809143                1.0                1.0         -0.113416   \n",
       "1           0.809143                1.0                1.0         -0.113416   \n",
       "2           0.809143                1.0                1.0         -0.113416   \n",
       "3           0.809143                1.0                1.0         -0.113416   \n",
       "4           0.809143                1.0                1.0         -0.113416   \n",
       "\n",
       "   GRO J1655-40_imy  GRO J1655-40_rate_0  GRO J1655-40_rate_1  \\\n",
       "0         -0.535975             0.005951             0.001267   \n",
       "1         -0.535975             0.005820             0.001430   \n",
       "2         -0.535975             0.005816             0.001594   \n",
       "3         -0.535975             0.006061             0.001409   \n",
       "4         -0.535975             0.006266             0.001341   \n",
       "\n",
       "   GRO J1655-40_rate_2  GRO J1655-40_rate_3  GRO J1655-40_rate_4  \\\n",
       "0             0.001034             0.002560             0.000482   \n",
       "1             0.000759             0.002518             0.000663   \n",
       "2             0.000743             0.002582             0.000534   \n",
       "3             0.000713             0.002482             0.000623   \n",
       "4             0.000779             0.002457             0.000404   \n",
       "\n",
       "   GRO J1655-40_rate_5  GRO J1655-40_rate_6  GRO J1655-40_rate_7  \\\n",
       "0         5.810178e-04             0.001362             0.000960   \n",
       "1         5.450543e-04             0.001158             0.000979   \n",
       "2         2.236838e-04             0.001229             0.000992   \n",
       "3         1.446681e-04             0.001357             0.000989   \n",
       "4         5.000000e-08             0.001165             0.001027   \n",
       "\n",
       "   GRO J1655-40_rate_8  GX 339-4_imx  GX 339-4_imy  GX 339-4_rate_0  \\\n",
       "0         5.000000e-08      0.008729     -0.694793         0.001315   \n",
       "1         5.000000e-08      0.008729     -0.694793         0.001541   \n",
       "2         5.000000e-08      0.008729     -0.694793         0.001466   \n",
       "3         5.000000e-08      0.008729     -0.694793         0.001639   \n",
       "4         5.000000e-08      0.008729     -0.694793         0.001054   \n",
       "\n",
       "   GX 339-4_rate_1  GX 339-4_rate_2  GX 339-4_rate_3  GX 339-4_rate_4  \\\n",
       "0         0.003580         0.002313         0.001110         0.001396   \n",
       "1         0.003928         0.002525         0.001094         0.001409   \n",
       "2         0.004626         0.002726         0.001433         0.001273   \n",
       "3         0.004308         0.002802         0.001413         0.001128   \n",
       "4         0.004296         0.002432         0.001725         0.001019   \n",
       "\n",
       "   GX 339-4_rate_5  GX 339-4_rate_6  GX 339-4_rate_7  GX 339-4_rate_8  \\\n",
       "0         0.002405         0.001058         0.001856         0.000440   \n",
       "1         0.002327         0.001109         0.001880         0.000491   \n",
       "2         0.002053         0.001404         0.001892         0.000466   \n",
       "3         0.001979         0.001014         0.002041         0.000681   \n",
       "4         0.001753         0.001182         0.001861         0.000581   \n",
       "\n",
       "   Sco X-1_imx  Sco X-1_imy  Sco X-1_rate_0  Sco X-1_rate_1  Sco X-1_rate_2  \\\n",
       "0    -0.480179    -0.200157        0.050901        0.005911        0.000726   \n",
       "1    -0.480179    -0.200157        0.050764        0.005968        0.000776   \n",
       "2    -0.480179    -0.200157        0.050114        0.006215        0.000897   \n",
       "3    -0.480179    -0.200157        0.050125        0.006322        0.000705   \n",
       "4    -0.480179    -0.200157        0.050201        0.005968        0.000689   \n",
       "\n",
       "   Sco X-1_rate_3  Sco X-1_rate_4  Sco X-1_rate_5  Sco X-1_rate_6  \\\n",
       "0    5.000000e-08        0.000153    5.000000e-08    5.000000e-08   \n",
       "1    5.000000e-08        0.000095    5.000000e-08    5.000000e-08   \n",
       "2    5.000000e-08        0.000230    5.000000e-08    5.000000e-08   \n",
       "3    5.000000e-08        0.000190    5.000000e-08    5.000000e-08   \n",
       "4    5.000000e-08        0.000099    5.000000e-08    5.000000e-08   \n",
       "\n",
       "   Sco X-1_rate_7  Sco X-1_rate_8  \\\n",
       "0    5.000000e-08    5.000000e-08   \n",
       "1    5.000000e-08    5.000000e-08   \n",
       "2    5.000000e-08    5.000000e-08   \n",
       "3    5.000000e-08    5.000000e-08   \n",
       "4    5.000000e-08    5.000000e-08   \n",
       "\n",
       "   corr_4U 1700-377_rate_0_GRO J1655-40_rate_0  \\\n",
       "0                                    -0.307400   \n",
       "1                                    -0.306465   \n",
       "2                                    -0.306480   \n",
       "3                                    -0.306448   \n",
       "4                                    -0.305521   \n",
       "\n",
       "   corr_4U 1700-377_rate_0_GX 339-4_rate_0  \\\n",
       "0                                -0.157821   \n",
       "1                                -0.158010   \n",
       "2                                -0.157311   \n",
       "3                                -0.157688   \n",
       "4                                -0.157040   \n",
       "\n",
       "   corr_4U 1700-377_rate_1_GRO J1655-40_rate_1  \\\n",
       "0                                    -0.305291   \n",
       "1                                    -0.304834   \n",
       "2                                    -0.305492   \n",
       "3                                    -0.306694   \n",
       "4                                    -0.306484   \n",
       "\n",
       "   corr_4U 1700-377_rate_1_GX 339-4_rate_1  \\\n",
       "0                                -0.156358   \n",
       "1                                -0.156392   \n",
       "2                                -0.156634   \n",
       "3                                -0.156276   \n",
       "4                                -0.157106   \n",
       "\n",
       "   corr_4U 1700-377_rate_2_GRO J1655-40_rate_2  \\\n",
       "0                                    -0.308877   \n",
       "1                                    -0.309741   \n",
       "2                                    -0.310756   \n",
       "3                                    -0.308068   \n",
       "4                                    -0.306766   \n",
       "\n",
       "   corr_4U 1700-377_rate_2_GX 339-4_rate_2  \\\n",
       "0                                -0.155719   \n",
       "1                                -0.157482   \n",
       "2                                -0.157231   \n",
       "3                                -0.157145   \n",
       "4                                -0.155967   \n",
       "\n",
       "   corr_4U 1700-377_rate_3_GRO J1655-40_rate_3  \\\n",
       "0                                    -0.295721   \n",
       "1                                    -0.295932   \n",
       "2                                    -0.294252   \n",
       "3                                    -0.294994   \n",
       "4                                    -0.294322   \n",
       "\n",
       "   corr_4U 1700-377_rate_3_GX 339-4_rate_3  \\\n",
       "0                                -0.167028   \n",
       "1                                -0.167068   \n",
       "2                                -0.166494   \n",
       "3                                -0.165264   \n",
       "4                                -0.164455   \n",
       "\n",
       "   corr_4U 1700-377_rate_4_GRO J1655-40_rate_4  \\\n",
       "0                                    -0.285878   \n",
       "1                                    -0.286307   \n",
       "2                                    -0.286683   \n",
       "3                                    -0.286064   \n",
       "4                                    -0.286773   \n",
       "\n",
       "   corr_4U 1700-377_rate_4_GX 339-4_rate_4  \\\n",
       "0                                -0.166209   \n",
       "1                                -0.167772   \n",
       "2                                -0.166858   \n",
       "3                                -0.167757   \n",
       "4                                -0.167261   \n",
       "\n",
       "   corr_4U 1700-377_rate_5_GRO J1655-40_rate_5  \\\n",
       "0                                    -0.306634   \n",
       "1                                    -0.307173   \n",
       "2                                    -0.306579   \n",
       "3                                    -0.306509   \n",
       "4                                    -0.309981   \n",
       "\n",
       "   corr_4U 1700-377_rate_5_GX 339-4_rate_5  \\\n",
       "0                                -0.156080   \n",
       "1                                -0.158629   \n",
       "2                                -0.158157   \n",
       "3                                -0.156749   \n",
       "4                                -0.156018   \n",
       "\n",
       "   corr_4U 1700-377_rate_6_GRO J1655-40_rate_6  \\\n",
       "0                                    -0.282360   \n",
       "1                                    -0.281759   \n",
       "2                                    -0.283375   \n",
       "3                                    -0.282886   \n",
       "4                                    -0.284688   \n",
       "\n",
       "   corr_4U 1700-377_rate_6_GX 339-4_rate_6  \\\n",
       "0                                -0.158684   \n",
       "1                                -0.158478   \n",
       "2                                -0.157846   \n",
       "3                                -0.157402   \n",
       "4                                -0.156748   \n",
       "\n",
       "   corr_4U 1700-377_rate_7_GRO J1655-40_rate_7  \\\n",
       "0                                    -0.294169   \n",
       "1                                    -0.297439   \n",
       "2                                    -0.298370   \n",
       "3                                    -0.302226   \n",
       "4                                    -0.302023   \n",
       "\n",
       "   corr_4U 1700-377_rate_7_GX 339-4_rate_7  \\\n",
       "0                                -0.158156   \n",
       "1                                -0.157836   \n",
       "2                                -0.154133   \n",
       "3                                -0.154498   \n",
       "4                                -0.154595   \n",
       "\n",
       "   corr_4U 1700-377_rate_8_GRO J1655-40_rate_8  \\\n",
       "0                                    -0.301966   \n",
       "1                                    -0.301246   \n",
       "2                                    -0.302546   \n",
       "3                                    -0.302445   \n",
       "4                                    -0.301675   \n",
       "\n",
       "   corr_4U 1700-377_rate_8_GX 339-4_rate_8  \\\n",
       "0                                -0.153359   \n",
       "1                                -0.155041   \n",
       "2                                -0.157091   \n",
       "3                                -0.156757   \n",
       "4                                -0.154922   \n",
       "\n",
       "   corr_Background_bkg_rate_0_4U 1700-377_rate_0  \\\n",
       "0                                      -0.269181   \n",
       "1                                      -0.269462   \n",
       "2                                      -0.269688   \n",
       "3                                      -0.269547   \n",
       "4                                      -0.269840   \n",
       "\n",
       "   corr_Background_bkg_rate_0_GRO J1655-40_rate_0  \\\n",
       "0                                       -0.175101   \n",
       "1                                       -0.175559   \n",
       "2                                       -0.175237   \n",
       "3                                       -0.175795   \n",
       "4                                       -0.174972   \n",
       "\n",
       "   corr_Background_bkg_rate_0_GX 339-4_rate_0  \\\n",
       "0                                   -0.081679   \n",
       "1                                   -0.081116   \n",
       "2                                   -0.080897   \n",
       "3                                   -0.080770   \n",
       "4                                   -0.081785   \n",
       "\n",
       "   corr_Background_bkg_rate_0_Sco X-1_rate_0  \\\n",
       "0                                  -0.517906   \n",
       "1                                  -0.518001   \n",
       "2                                  -0.518716   \n",
       "3                                  -0.518699   \n",
       "4                                  -0.518268   \n",
       "\n",
       "   corr_Background_bkg_rate_1_4U 1700-377_rate_1  \\\n",
       "0                                      -0.259445   \n",
       "1                                      -0.259981   \n",
       "2                                      -0.259270   \n",
       "3                                      -0.258758   \n",
       "4                                      -0.258410   \n",
       "\n",
       "   corr_Background_bkg_rate_1_GRO J1655-40_rate_1  \\\n",
       "0                                       -0.178472   \n",
       "1                                       -0.177888   \n",
       "2                                       -0.178106   \n",
       "3                                       -0.178473   \n",
       "4                                       -0.179505   \n",
       "\n",
       "   corr_Background_bkg_rate_1_GX 339-4_rate_1  \\\n",
       "0                                   -0.079952   \n",
       "1                                   -0.080178   \n",
       "2                                   -0.079329   \n",
       "3                                   -0.079368   \n",
       "4                                   -0.079406   \n",
       "\n",
       "   corr_Background_bkg_rate_1_Sco X-1_rate_1  \\\n",
       "0                                  -0.558391   \n",
       "1                                  -0.558385   \n",
       "2                                  -0.557598   \n",
       "3                                  -0.558076   \n",
       "4                                  -0.559285   \n",
       "\n",
       "   corr_Background_bkg_rate_2_4U 1700-377_rate_2  \\\n",
       "0                                      -0.262969   \n",
       "1                                      -0.262930   \n",
       "2                                      -0.262459   \n",
       "3                                      -0.261467   \n",
       "4                                      -0.261759   \n",
       "\n",
       "   corr_Background_bkg_rate_2_GRO J1655-40_rate_2  \\\n",
       "0                                       -0.172946   \n",
       "1                                       -0.174257   \n",
       "2                                       -0.173499   \n",
       "3                                       -0.174649   \n",
       "4                                       -0.174622   \n",
       "\n",
       "   corr_Background_bkg_rate_2_GX 339-4_rate_2  \\\n",
       "0                                   -0.082878   \n",
       "1                                   -0.081694   \n",
       "2                                   -0.082309   \n",
       "3                                   -0.081731   \n",
       "4                                   -0.082329   \n",
       "\n",
       "   corr_Background_bkg_rate_2_Sco X-1_rate_2  \\\n",
       "0                                  -0.570545   \n",
       "1                                  -0.570749   \n",
       "2                                  -0.570348   \n",
       "3                                  -0.570348   \n",
       "4                                  -0.569753   \n",
       "\n",
       "   corr_Background_bkg_rate_3_4U 1700-377_rate_3  \\\n",
       "0                                      -0.262986   \n",
       "1                                      -0.264231   \n",
       "2                                      -0.265669   \n",
       "3                                      -0.265968   \n",
       "4                                      -0.266352   \n",
       "\n",
       "   corr_Background_bkg_rate_3_GRO J1655-40_rate_3  \\\n",
       "0                                       -0.181972   \n",
       "1                                       -0.181767   \n",
       "2                                       -0.181737   \n",
       "3                                       -0.181520   \n",
       "4                                       -0.181038   \n",
       "\n",
       "   corr_Background_bkg_rate_3_GX 339-4_rate_3  \\\n",
       "0                                   -0.079831   \n",
       "1                                   -0.079405   \n",
       "2                                   -0.078773   \n",
       "3                                   -0.078689   \n",
       "4                                   -0.079885   \n",
       "\n",
       "   corr_Background_bkg_rate_3_Sco X-1_rate_3  \\\n",
       "0                                  -0.565326   \n",
       "1                                  -0.565425   \n",
       "2                                  -0.565593   \n",
       "3                                  -0.565872   \n",
       "4                                  -0.566133   \n",
       "\n",
       "   corr_Background_bkg_rate_4_4U 1700-377_rate_4  \\\n",
       "0                                      -0.269010   \n",
       "1                                      -0.268953   \n",
       "2                                      -0.269247   \n",
       "3                                      -0.269465   \n",
       "4                                      -0.268539   \n",
       "\n",
       "   corr_Background_bkg_rate_4_GRO J1655-40_rate_4  \\\n",
       "0                                       -0.176318   \n",
       "1                                       -0.174185   \n",
       "2                                       -0.174381   \n",
       "3                                       -0.174005   \n",
       "4                                       -0.175225   \n",
       "\n",
       "   corr_Background_bkg_rate_4_GX 339-4_rate_4  \\\n",
       "0                                   -0.082854   \n",
       "1                                   -0.082730   \n",
       "2                                   -0.082378   \n",
       "3                                   -0.082435   \n",
       "4                                   -0.080756   \n",
       "\n",
       "   corr_Background_bkg_rate_4_Sco X-1_rate_4  \\\n",
       "0                                  -0.565746   \n",
       "1                                  -0.565537   \n",
       "2                                  -0.564553   \n",
       "3                                  -0.564511   \n",
       "4                                  -0.564209   \n",
       "\n",
       "   corr_Background_bkg_rate_5_4U 1700-377_rate_5  \\\n",
       "0                                      -0.258306   \n",
       "1                                      -0.257487   \n",
       "2                                      -0.258526   \n",
       "3                                      -0.260547   \n",
       "4                                      -0.259736   \n",
       "\n",
       "   corr_Background_bkg_rate_5_GRO J1655-40_rate_5  \\\n",
       "0                                       -0.177077   \n",
       "1                                       -0.177816   \n",
       "2                                       -0.178547   \n",
       "3                                       -0.176912   \n",
       "4                                       -0.177045   \n",
       "\n",
       "   corr_Background_bkg_rate_5_GX 339-4_rate_5  \\\n",
       "0                                   -0.083484   \n",
       "1                                   -0.082604   \n",
       "2                                   -0.081883   \n",
       "3                                   -0.081368   \n",
       "4                                   -0.081605   \n",
       "\n",
       "   corr_Background_bkg_rate_5_Sco X-1_rate_5  \\\n",
       "0                                  -0.564370   \n",
       "1                                  -0.565327   \n",
       "2                                  -0.565846   \n",
       "3                                  -0.564826   \n",
       "4                                  -0.565115   \n",
       "\n",
       "   corr_Background_bkg_rate_6_4U 1700-377_rate_6  \\\n",
       "0                                      -0.268479   \n",
       "1                                      -0.268641   \n",
       "2                                      -0.268727   \n",
       "3                                      -0.269437   \n",
       "4                                      -0.269567   \n",
       "\n",
       "   corr_Background_bkg_rate_6_GRO J1655-40_rate_6  \\\n",
       "0                                       -0.177517   \n",
       "1                                       -0.177049   \n",
       "2                                       -0.175878   \n",
       "3                                       -0.176505   \n",
       "4                                       -0.175474   \n",
       "\n",
       "   corr_Background_bkg_rate_6_GX 339-4_rate_6  \\\n",
       "0                                   -0.085036   \n",
       "1                                   -0.086423   \n",
       "2                                   -0.086075   \n",
       "3                                   -0.087458   \n",
       "4                                   -0.089064   \n",
       "\n",
       "   corr_Background_bkg_rate_6_Sco X-1_rate_6  \\\n",
       "0                                  -0.558384   \n",
       "1                                  -0.558006   \n",
       "2                                  -0.559615   \n",
       "3                                  -0.558729   \n",
       "4                                  -0.558900   \n",
       "\n",
       "   corr_Background_bkg_rate_7_4U 1700-377_rate_7  \\\n",
       "0                                      -0.258486   \n",
       "1                                      -0.259436   \n",
       "2                                      -0.260824   \n",
       "3                                      -0.259727   \n",
       "4                                      -0.260532   \n",
       "\n",
       "   corr_Background_bkg_rate_7_GRO J1655-40_rate_7  \\\n",
       "0                                       -0.173624   \n",
       "1                                       -0.171754   \n",
       "2                                       -0.172574   \n",
       "3                                       -0.170856   \n",
       "4                                       -0.170590   \n",
       "\n",
       "   corr_Background_bkg_rate_7_GX 339-4_rate_7  \\\n",
       "0                                   -0.085728   \n",
       "1                                   -0.085669   \n",
       "2                                   -0.086243   \n",
       "3                                   -0.086962   \n",
       "4                                   -0.086488   \n",
       "\n",
       "   corr_Background_bkg_rate_7_Sco X-1_rate_7  \\\n",
       "0                                  -0.554043   \n",
       "1                                  -0.553946   \n",
       "2                                  -0.553877   \n",
       "3                                  -0.554847   \n",
       "4                                  -0.554753   \n",
       "\n",
       "   corr_Background_bkg_rate_8_4U 1700-377_rate_8  \\\n",
       "0                                      -0.258227   \n",
       "1                                      -0.259348   \n",
       "2                                      -0.259106   \n",
       "3                                      -0.262023   \n",
       "4                                      -0.262988   \n",
       "\n",
       "   corr_Background_bkg_rate_8_GRO J1655-40_rate_8  \\\n",
       "0                                       -0.171413   \n",
       "1                                       -0.171338   \n",
       "2                                       -0.173254   \n",
       "3                                       -0.171913   \n",
       "4                                       -0.171898   \n",
       "\n",
       "   corr_Background_bkg_rate_8_GX 339-4_rate_8  \\\n",
       "0                                   -0.093856   \n",
       "1                                   -0.094018   \n",
       "2                                   -0.093755   \n",
       "3                                   -0.091884   \n",
       "4                                   -0.090964   \n",
       "\n",
       "   corr_Background_bkg_rate_8_Sco X-1_rate_8  \\\n",
       "0                                  -0.549823   \n",
       "1                                  -0.551218   \n",
       "2                                  -0.551217   \n",
       "3                                  -0.550599   \n",
       "4                                  -0.549263   \n",
       "\n",
       "   corr_GRO J1655-40_rate_0_GX 339-4_rate_0  \\\n",
       "0                                 -0.286884   \n",
       "1                                 -0.287483   \n",
       "2                                 -0.287878   \n",
       "3                                 -0.286517   \n",
       "4                                 -0.287618   \n",
       "\n",
       "   corr_GRO J1655-40_rate_1_GX 339-4_rate_1  \\\n",
       "0                                 -0.278956   \n",
       "1                                 -0.279682   \n",
       "2                                 -0.278866   \n",
       "3                                 -0.279048   \n",
       "4                                 -0.278083   \n",
       "\n",
       "   corr_GRO J1655-40_rate_2_GX 339-4_rate_2  \\\n",
       "0                                 -0.283080   \n",
       "1                                 -0.280583   \n",
       "2                                 -0.280174   \n",
       "3                                 -0.280831   \n",
       "4                                 -0.282292   \n",
       "\n",
       "   corr_GRO J1655-40_rate_3_GX 339-4_rate_3  \\\n",
       "0                                 -0.281136   \n",
       "1                                 -0.280958   \n",
       "2                                 -0.279262   \n",
       "3                                 -0.279563   \n",
       "4                                 -0.279371   \n",
       "\n",
       "   corr_GRO J1655-40_rate_4_GX 339-4_rate_4  \\\n",
       "0                                 -0.284086   \n",
       "1                                 -0.284283   \n",
       "2                                 -0.283980   \n",
       "3                                 -0.284438   \n",
       "4                                 -0.283810   \n",
       "\n",
       "   corr_GRO J1655-40_rate_5_GX 339-4_rate_5  \\\n",
       "0                                 -0.283279   \n",
       "1                                 -0.280571   \n",
       "2                                 -0.283016   \n",
       "3                                 -0.283527   \n",
       "4                                 -0.282526   \n",
       "\n",
       "   corr_GRO J1655-40_rate_6_GX 339-4_rate_6  \\\n",
       "0                                 -0.283494   \n",
       "1                                 -0.285443   \n",
       "2                                 -0.287743   \n",
       "3                                 -0.288653   \n",
       "4                                 -0.286779   \n",
       "\n",
       "   corr_GRO J1655-40_rate_7_GX 339-4_rate_7  \\\n",
       "0                                 -0.277543   \n",
       "1                                 -0.275391   \n",
       "2                                 -0.278001   \n",
       "3                                 -0.277755   \n",
       "4                                 -0.278745   \n",
       "\n",
       "   corr_GRO J1655-40_rate_8_GX 339-4_rate_8  \\\n",
       "0                                 -0.271455   \n",
       "1                                 -0.270632   \n",
       "2                                 -0.266967   \n",
       "3                                 -0.268125   \n",
       "4                                 -0.269135   \n",
       "\n",
       "   corr_Sco X-1_rate_0_4U 1700-377_rate_0  \\\n",
       "0                               -0.100206   \n",
       "1                               -0.100104   \n",
       "2                               -0.099554   \n",
       "3                               -0.100188   \n",
       "4                               -0.100639   \n",
       "\n",
       "   corr_Sco X-1_rate_0_GRO J1655-40_rate_0  \\\n",
       "0                                -0.109050   \n",
       "1                                -0.108911   \n",
       "2                                -0.109109   \n",
       "3                                -0.108227   \n",
       "4                                -0.109345   \n",
       "\n",
       "   corr_Sco X-1_rate_0_GX 339-4_rate_0  \\\n",
       "0                            -0.045890   \n",
       "1                            -0.046048   \n",
       "2                            -0.046656   \n",
       "3                            -0.047181   \n",
       "4                            -0.046057   \n",
       "\n",
       "   corr_Sco X-1_rate_1_4U 1700-377_rate_1  \\\n",
       "0                               -0.101971   \n",
       "1                               -0.101636   \n",
       "2                               -0.103285   \n",
       "3                               -0.102467   \n",
       "4                               -0.101791   \n",
       "\n",
       "   corr_Sco X-1_rate_1_GRO J1655-40_rate_1  \\\n",
       "0                                -0.100361   \n",
       "1                                -0.101127   \n",
       "2                                -0.100485   \n",
       "3                                -0.099289   \n",
       "4                                -0.097952   \n",
       "\n",
       "   corr_Sco X-1_rate_1_GX 339-4_rate_1  \\\n",
       "0                            -0.042978   \n",
       "1                            -0.041588   \n",
       "2                            -0.042361   \n",
       "3                            -0.042834   \n",
       "4                            -0.042781   \n",
       "\n",
       "   corr_Sco X-1_rate_2_4U 1700-377_rate_2  \\\n",
       "0                               -0.089231   \n",
       "1                               -0.088256   \n",
       "2                               -0.088947   \n",
       "3                               -0.090455   \n",
       "4                               -0.091925   \n",
       "\n",
       "   corr_Sco X-1_rate_2_GRO J1655-40_rate_2  \\\n",
       "0                                -0.100263   \n",
       "1                                -0.099395   \n",
       "2                                -0.100366   \n",
       "3                                -0.100286   \n",
       "4                                -0.100125   \n",
       "\n",
       "   corr_Sco X-1_rate_2_GX 339-4_rate_2  \\\n",
       "0                            -0.037002   \n",
       "1                            -0.038385   \n",
       "2                            -0.037034   \n",
       "3                            -0.037557   \n",
       "4                            -0.037215   \n",
       "\n",
       "   corr_Sco X-1_rate_3_4U 1700-377_rate_3  \\\n",
       "0                               -0.103343   \n",
       "1                               -0.101703   \n",
       "2                               -0.100700   \n",
       "3                               -0.100563   \n",
       "4                               -0.100826   \n",
       "\n",
       "   corr_Sco X-1_rate_3_GRO J1655-40_rate_3  \\\n",
       "0                                -0.092279   \n",
       "1                                -0.092903   \n",
       "2                                -0.093609   \n",
       "3                                -0.093762   \n",
       "4                                -0.094226   \n",
       "\n",
       "   corr_Sco X-1_rate_3_GX 339-4_rate_3  \\\n",
       "0                            -0.035664   \n",
       "1                            -0.035902   \n",
       "2                            -0.037982   \n",
       "3                            -0.038265   \n",
       "4                            -0.036878   \n",
       "\n",
       "   corr_Sco X-1_rate_4_4U 1700-377_rate_4  \\\n",
       "0                               -0.098309   \n",
       "1                               -0.098123   \n",
       "2                               -0.098059   \n",
       "3                               -0.098489   \n",
       "4                               -0.098810   \n",
       "\n",
       "   corr_Sco X-1_rate_4_GRO J1655-40_rate_4  \\\n",
       "0                                -0.106096   \n",
       "1                                -0.109014   \n",
       "2                                -0.109961   \n",
       "3                                -0.110508   \n",
       "4                                -0.109156   \n",
       "\n",
       "   corr_Sco X-1_rate_4_GX 339-4_rate_4  \\\n",
       "0                            -0.031574   \n",
       "1                            -0.030490   \n",
       "2                            -0.031909   \n",
       "3                            -0.031144   \n",
       "4                            -0.034886   \n",
       "\n",
       "   corr_Sco X-1_rate_5_4U 1700-377_rate_5  \\\n",
       "0                               -0.105922   \n",
       "1                               -0.105630   \n",
       "2                               -0.103893   \n",
       "3                               -0.101789   \n",
       "4                               -0.101308   \n",
       "\n",
       "   corr_Sco X-1_rate_5_GRO J1655-40_rate_5  \\\n",
       "0                                -0.095471   \n",
       "1                                -0.094843   \n",
       "2                                -0.094424   \n",
       "3                                -0.097327   \n",
       "4                                -0.095477   \n",
       "\n",
       "   corr_Sco X-1_rate_5_GX 339-4_rate_5  \\\n",
       "0                            -0.036337   \n",
       "1                            -0.037240   \n",
       "2                            -0.037335   \n",
       "3                            -0.038895   \n",
       "4                            -0.040000   \n",
       "\n",
       "   corr_Sco X-1_rate_6_4U 1700-377_rate_6  \\\n",
       "0                               -0.107506   \n",
       "1                               -0.108005   \n",
       "2                               -0.106459   \n",
       "3                               -0.105739   \n",
       "4                               -0.105295   \n",
       "\n",
       "   corr_Sco X-1_rate_6_GRO J1655-40_rate_6  \\\n",
       "0                                -0.105102   \n",
       "1                                -0.107028   \n",
       "2                                -0.106138   \n",
       "3                                -0.105435   \n",
       "4                                -0.106730   \n",
       "\n",
       "   corr_Sco X-1_rate_6_GX 339-4_rate_6  \\\n",
       "0                            -0.037341   \n",
       "1                            -0.033304   \n",
       "2                            -0.032242   \n",
       "3                            -0.031604   \n",
       "4                            -0.030134   \n",
       "\n",
       "   corr_Sco X-1_rate_7_4U 1700-377_rate_7  \\\n",
       "0                               -0.118062   \n",
       "1                               -0.116806   \n",
       "2                               -0.116404   \n",
       "3                               -0.115655   \n",
       "4                               -0.114664   \n",
       "\n",
       "   corr_Sco X-1_rate_7_GRO J1655-40_rate_7  \\\n",
       "0                                -0.105467   \n",
       "1                                -0.106476   \n",
       "2                                -0.103507   \n",
       "3                                -0.104242   \n",
       "4                                -0.103894   \n",
       "\n",
       "   corr_Sco X-1_rate_7_GX 339-4_rate_7  \\\n",
       "0                            -0.040132   \n",
       "1                            -0.041395   \n",
       "2                            -0.041457   \n",
       "3                            -0.039254   \n",
       "4                            -0.040365   \n",
       "\n",
       "   corr_Sco X-1_rate_8_4U 1700-377_rate_8  \\\n",
       "0                               -0.116710   \n",
       "1                               -0.115349   \n",
       "2                               -0.116796   \n",
       "3                               -0.114413   \n",
       "4                               -0.113940   \n",
       "\n",
       "   corr_Sco X-1_rate_8_GRO J1655-40_rate_8  \\\n",
       "0                                -0.111292   \n",
       "1                                -0.109787   \n",
       "2                                -0.107271   \n",
       "3                                -0.109015   \n",
       "4                                -0.110575   \n",
       "\n",
       "   corr_Sco X-1_rate_8_GX 339-4_rate_8      dt  err_4U 1700-377_rate_0  \\\n",
       "0                            -0.037853 -20.480                0.001207   \n",
       "1                            -0.037059 -19.456                0.001196   \n",
       "2                            -0.037225 -18.432                0.001186   \n",
       "3                            -0.038376 -17.408                0.001175   \n",
       "4                            -0.040941 -16.384                0.001164   \n",
       "\n",
       "   err_4U 1700-377_rate_1  err_4U 1700-377_rate_2  err_4U 1700-377_rate_3  \\\n",
       "0                0.000951                0.000723                0.000710   \n",
       "1                0.000941                0.000717                0.000703   \n",
       "2                0.000934                0.000712                0.000696   \n",
       "3                0.000926                0.000705                0.000690   \n",
       "4                0.000919                0.000699                0.000685   \n",
       "\n",
       "   err_4U 1700-377_rate_4  err_4U 1700-377_rate_5  err_4U 1700-377_rate_6  \\\n",
       "0                0.000661                0.000665                0.000634   \n",
       "1                0.000655                0.000659                0.000628   \n",
       "2                0.000648                0.000652                0.000622   \n",
       "3                0.000642                0.000646                0.000616   \n",
       "4                0.000637                0.000641                0.000611   \n",
       "\n",
       "   err_4U 1700-377_rate_7  err_4U 1700-377_rate_8  err_Background_bkg_rate_0  \\\n",
       "0                0.000556                0.000466                   0.000585   \n",
       "1                0.000550                0.000461                   0.000580   \n",
       "2                0.000545                0.000456                   0.000576   \n",
       "3                0.000541                0.000452                   0.000570   \n",
       "4                0.000535                0.000448                   0.000565   \n",
       "\n",
       "   err_Background_bkg_rate_1  err_Background_bkg_rate_2  \\\n",
       "0                   0.000487                   0.000376   \n",
       "1                   0.000482                   0.000373   \n",
       "2                   0.000478                   0.000370   \n",
       "3                   0.000473                   0.000366   \n",
       "4                   0.000470                   0.000363   \n",
       "\n",
       "   err_Background_bkg_rate_3  err_Background_bkg_rate_4  \\\n",
       "0                   0.000373                   0.000350   \n",
       "1                   0.000370                   0.000346   \n",
       "2                   0.000366                   0.000343   \n",
       "3                   0.000364                   0.000340   \n",
       "4                   0.000361                   0.000337   \n",
       "\n",
       "   err_Background_bkg_rate_5  err_Background_bkg_rate_6  \\\n",
       "0                   0.000350                   0.000338   \n",
       "1                   0.000347                   0.000336   \n",
       "2                   0.000344                   0.000332   \n",
       "3                   0.000341                   0.000329   \n",
       "4                   0.000338                   0.000326   \n",
       "\n",
       "   err_Background_bkg_rate_7  err_Background_bkg_rate_8  \\\n",
       "0                   0.000292                   0.000245   \n",
       "1                   0.000289                   0.000243   \n",
       "2                   0.000287                   0.000241   \n",
       "3                   0.000284                   0.000238   \n",
       "4                   0.000281                   0.000236   \n",
       "\n",
       "   err_GRO J1655-40_rate_0  err_GRO J1655-40_rate_1  err_GRO J1655-40_rate_2  \\\n",
       "0                 0.001320                 0.001032                 0.000788   \n",
       "1                 0.001308                 0.001022                 0.000780   \n",
       "2                 0.001297                 0.001014                 0.000774   \n",
       "3                 0.001285                 0.001005                 0.000767   \n",
       "4                 0.001274                 0.000995                 0.000760   \n",
       "\n",
       "   err_GRO J1655-40_rate_3  err_GRO J1655-40_rate_4  err_GRO J1655-40_rate_5  \\\n",
       "0                 0.000779                 0.000717                 0.000726   \n",
       "1                 0.000772                 0.000712                 0.000720   \n",
       "2                 0.000764                 0.000705                 0.000712   \n",
       "3                 0.000758                 0.000699                 0.000705   \n",
       "4                 0.000751                 0.000691                 0.000699   \n",
       "\n",
       "   err_GRO J1655-40_rate_6  err_GRO J1655-40_rate_7  err_GRO J1655-40_rate_8  \\\n",
       "0                 0.000695                 0.000607                 0.000511   \n",
       "1                 0.000689                 0.000601                 0.000505   \n",
       "2                 0.000684                 0.000596                 0.000500   \n",
       "3                 0.000678                 0.000591                 0.000496   \n",
       "4                 0.000671                 0.000585                 0.000492   \n",
       "\n",
       "   err_GX 339-4_rate_0  err_GX 339-4_rate_1  err_GX 339-4_rate_2  \\\n",
       "0             0.001641             0.001290             0.000990   \n",
       "1             0.001627             0.001279             0.000981   \n",
       "2             0.001614             0.001271             0.000974   \n",
       "3             0.001599             0.001258             0.000965   \n",
       "4             0.001583             0.001247             0.000955   \n",
       "\n",
       "   err_GX 339-4_rate_3  err_GX 339-4_rate_4  err_GX 339-4_rate_5  \\\n",
       "0             0.000970             0.000909             0.000919   \n",
       "1             0.000960             0.000901             0.000910   \n",
       "2             0.000953             0.000891             0.000899   \n",
       "3             0.000944             0.000882             0.000890   \n",
       "4             0.000938             0.000874             0.000880   \n",
       "\n",
       "   err_GX 339-4_rate_6  err_GX 339-4_rate_7  err_GX 339-4_rate_8  \\\n",
       "0             0.000879             0.000777             0.000635   \n",
       "1             0.000871             0.000768             0.000629   \n",
       "2             0.000866             0.000762             0.000622   \n",
       "3             0.000857             0.000756             0.000620   \n",
       "4             0.000849             0.000748             0.000614   \n",
       "\n",
       "   err_Sco X-1_rate_0  err_Sco X-1_rate_1  err_Sco X-1_rate_2  \\\n",
       "0            0.001092            0.000848            0.000644   \n",
       "1            0.001083            0.000840            0.000638   \n",
       "2            0.001073            0.000833            0.000633   \n",
       "3            0.001064            0.000825            0.000627   \n",
       "4            0.001054            0.000817            0.000621   \n",
       "\n",
       "   err_Sco X-1_rate_3  err_Sco X-1_rate_4  err_Sco X-1_rate_5  \\\n",
       "0            0.000635            0.000595            0.000596   \n",
       "1            0.000629            0.000590            0.000591   \n",
       "2            0.000624            0.000584            0.000585   \n",
       "3            0.000618            0.000579            0.000580   \n",
       "4            0.000613            0.000574            0.000574   \n",
       "\n",
       "   err_Sco X-1_rate_6  err_Sco X-1_rate_7  err_Sco X-1_rate_8      exp  \\\n",
       "0            0.000575            0.000500            0.000418  55.2987   \n",
       "1            0.000570            0.000495            0.000414  56.3227   \n",
       "2            0.000564            0.000491            0.000409  57.3467   \n",
       "3            0.000560            0.000486            0.000406  58.3707   \n",
       "4            0.000555            0.000481            0.000404  59.3947   \n",
       "\n",
       "            nllh          time  \n",
       "0  238693.942965  6.460184e+08  \n",
       "1  240133.897390  6.460184e+08  \n",
       "2  241552.567034  6.460184e+08  \n",
       "3  242880.079254  6.460184e+08  \n",
       "4  244131.759490  6.460184e+08  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bkg_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2b9d20eeb090>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting the rate per detector in each energy bin for the diffuse models\n",
    "nr = 3\n",
    "nc = 3\n",
    "nplt = 1\n",
    "fig = plt.figure(dpi=80, figsize=(14,6))\n",
    "for j in range(9):\n",
    "    ax = fig.add_subplot(nr,nc,nplt)\n",
    "    nplt+=1\n",
    "    try:\n",
    "        rate_name = 'bkg_rate_' + str(j)\n",
    "        rate = bkg_df[rate_name]\n",
    "    except:\n",
    "        rate_name = 'Background_bkg_rate_' + str(j)\n",
    "        rate = bkg_df[rate_name]\n",
    "    err0 = rate - bkg_df['err_'+rate_name]\n",
    "    err1 = rate + bkg_df['err_'+rate_name]\n",
    "    plt.fill_between(bkg_df['dt'], err0, err1, alpha=.5)\n",
    "    plt.plot(bkg_df['dt'], rate, 'o--')\n",
    "    plt.grid(True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time with min counts, max counts\n",
      "(32.768000000000065, 3.552713678800501e-14)\n",
      "counts at min time, max time\n",
      "(6760.0, 8209.0)\n",
      "bkg mean, bkg std\n",
      "(7023.0, 81.7038385963555)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2b9d3256de90>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2b9d3250e590>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting time hist of event data\n",
    "tbins = np.arange(-40*1.024, 40*1.024, 0.064*4*4*1) # tbins with multiples of 64ms (64ms * 4 * 4 = 1.024s)\n",
    "dt = tbins[1] - tbins[0]\n",
    "tax = (tbins[1:] + tbins[:-1])/2.\n",
    "ntbins = len(tax)\n",
    "# choosing which tbins to estimate a flat bkg from for the plot\n",
    "# bkg_bl = (np.abs(tax)>8.0)\n",
    "bkg_bl = ((tax)<-10.0)&(tax>-40.0)\n",
    "\n",
    "nc = 1\n",
    "nr = 1\n",
    "nplt = 1\n",
    "\n",
    "fig = plt.figure(dpi=100, figsize=(8,3*nr))\n",
    "ax = fig.add_subplot(nr,nc,nplt)\n",
    "nplt += 1\n",
    "\n",
    "h=plt.hist(ev_data0['TIME'] - trigger_time, bins=tbins,\\\n",
    "           histtype='step', label='data')[0]\n",
    "\n",
    "bkg_mean = np.mean(h[bkg_bl])\n",
    "bkg_std = np.std(h[bkg_bl])\n",
    "\n",
    "print(\"time with min counts, max counts\")\n",
    "print (tbins[np.argmin(h)], tbins[np.argmax(h)])\n",
    "print(\"counts at min time, max time\")\n",
    "print(np.min(h), np.max(h))\n",
    "print(\"bkg mean, bkg std\")\n",
    "print(bkg_mean, bkg_std)\n",
    "\n",
    "plt.axhline(bkg_mean)\n",
    "plt.grid(True)\n",
    "plt.xlim(-22, 26)\n",
    "# plt.xlim(-4, 4.)\n",
    "plt.ylim(np.around(.95*np.min(h[(h>0)]), decimals=-1),\\\n",
    "         np.round(1.01*np.max(h), decimals=-1))\n",
    "plt.xlabel('t - trig_time (s)')\n",
    "plt.ylabel('Counts 15-350 keV')\n",
    "plt.legend(loc='lower left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15.0 - 24.0 keV\n",
      "time with min counts, max counts\n",
      "(-5.119999999999969, 21.504000000000055)\n",
      "counts at min time, max time\n",
      "(1686.0, 1884.0)\n",
      "bkg mean, bkg std\n",
      "(1774.7586206896551, 28.503666034526997)\n",
      "\n",
      "24.0 - 35.0 keV\n",
      "time with min counts, max counts\n",
      "(-14.335999999999977, 26.62400000000006)\n",
      "counts at min time, max time\n",
      "(1009.0, 1197.0)\n",
      "bkg mean, bkg std\n",
      "(1086.2413793103449, 26.90167944047718)\n",
      "\n",
      "35.0 - 48.0 keV\n",
      "time with min counts, max counts\n",
      "(-5.119999999999969, 3.552713678800501e-14)\n",
      "counts at min time, max time\n",
      "(578.0, 746.0)\n",
      "bkg mean, bkg std\n",
      "(627.7586206896551, 24.485963850412542)\n",
      "\n",
      "48.0 - 64.0 keV\n",
      "time with min counts, max counts\n",
      "(-40.96, 3.552713678800501e-14)\n",
      "counts at min time, max time\n",
      "(564.0, 774.0)\n",
      "bkg mean, bkg std\n",
      "(614.8620689655172, 25.893314458570494)\n",
      "\n",
      "64.0 - 84.0 keV\n",
      "time with min counts, max counts\n",
      "(32.768000000000065, 3.552713678800501e-14)\n",
      "counts at min time, max time\n",
      "(482.0, 675.0)\n",
      "bkg mean, bkg std\n",
      "(534.5172413793103, 22.40938948783742)\n",
      "\n",
      "84.0 - 120.0 keV\n",
      "time with min counts, max counts\n",
      "(-14.335999999999977, 3.552713678800501e-14)\n",
      "counts at min time, max time\n",
      "(481.0, 698.0)\n",
      "bkg mean, bkg std\n",
      "(536.3103448275862, 22.945367571353966)\n",
      "\n",
      "120.0 - 171.5 keV\n",
      "time with min counts, max counts\n",
      "(32.768000000000065, 3.552713678800501e-14)\n",
      "counts at min time, max time\n",
      "(461.0, 683.0)\n",
      "bkg mean, bkg std\n",
      "(511.3103448275862, 20.82621598598476)\n",
      "\n",
      "171.5 - 245.0 keV\n",
      "time with min counts, max counts\n",
      "(-15.359999999999978, 3.552713678800501e-14)\n",
      "counts at min time, max time\n",
      "(335.0, 525.0)\n",
      "bkg mean, bkg std\n",
      "(383.1034482758621, 20.780204153499497)\n",
      "\n",
      "245.0 - 350.0 keV\n",
      "time with min counts, max counts\n",
      "(32.768000000000065, 3.552713678800501e-14)\n",
      "counts at min time, max time\n",
      "(235.0, 330.0)\n",
      "bkg mean, bkg std\n",
      "(274.86206896551727, 14.50736825376733)\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2b9d3253e790>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting time hist with same bins as last cell but for each Ebin\n",
    "nc = 1\n",
    "nr = nebins\n",
    "nplt = 1\n",
    "fig = plt.figure(dpi=100, figsize=(8,3.5*nr))\n",
    "\n",
    "for ei in xrange(nebins):\n",
    "    ax = fig.add_subplot(nr,nc,nplt)\n",
    "    nplt += 1\n",
    "    ebl = (ev_data0['ENERGY']>=ebins0[ei])&\\\n",
    "            (ev_data0['ENERGY']<ebins1[ei])\n",
    "    h=plt.hist(ev_data0[ebl]['TIME'] - trigger_time, bins=tbins,\\\n",
    "               histtype='step')[0]\n",
    "    bkg_mean = np.mean(h[bkg_bl])\n",
    "    bkg_std = np.std(h[bkg_bl])\n",
    "    ttl = '%.1f - %.1f keV' %(ebins0[ei],ebins1[ei])\n",
    "    print(ttl)\n",
    "    print(\"time with min counts, max counts\")\n",
    "    print (tbins[np.argmin(h)], tbins[np.argmax(h)])\n",
    "    print(\"counts at min time, max time\")\n",
    "    print(np.min(h), np.max(h))\n",
    "    print(\"bkg mean, bkg std\")\n",
    "    print(bkg_mean, bkg_std)\n",
    "    print\n",
    "    plt.axhline(bkg_mean)\n",
    "    plt.title(ttl)\n",
    "    plt.grid(True)\n",
    "#     plt.xlim(-2, 2)\n",
    "    plt.xlim(-22, 26)\n",
    "    plt.ylim(np.around(.9*np.min(h[(h>0)]), decimals=-1),\\\n",
    "             np.round(1.1*np.max(h), decimals=-1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('QUATERNION: ', array([-0.03597053,  0.2345147 , -0.64420835,  0.72712074]))\n",
      "Pointing RA, Dec\n",
      "(273.5996900829163, -17.13930771538036)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2b9d2893a0d0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x2b9d2893a250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# getting attitude information at trigger time\n",
    "att_ind = np.argmin(np.abs(attfile['TIME'] - trigger_time))\n",
    "att_quat = attfile['QPARAM'][att_ind]\n",
    "print(\"QUATERNION: \", att_quat)\n",
    "pnt_ra, pnt_dec = attfile['POINTING'][att_ind,:2]\n",
    "print(\"Pointing RA, Dec\")\n",
    "print(pnt_ra, pnt_dec)\n",
    "plt.plot(attfile['TIME']-trigger_time, attfile['POINTING'], 'o')\n",
    "plt.grid(True)\n",
    "plt.xlim(-50,150)\n",
    "plt.legend(['ra','dec','roll'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RA of interest, Dec of interest\n",
      "(233.117, -26.213)\n",
      "theta, phi\n",
      "38.54132137017975 137.65241966813443\n",
      "imx, imy\n",
      "-0.5887551341212707 -0.5366203642198198\n"
     ]
    }
   ],
   "source": [
    "# if you have some ra, dec of interest (like a gbm localization or something)\n",
    "# here's how to do conversions into detector coordinates (theta, phi) and (imx, imy)\n",
    "ra_interest, dec_interest = 233.117, -26.213\n",
    "print(\"RA of interest, Dec of interest\")\n",
    "print(ra_interest, dec_interest)\n",
    "theta_interest, phi_interest = convert_radec2thetaphi(ra_interest, dec_interest, att_quat)\n",
    "print(\"theta, phi\")\n",
    "print theta_interest, phi_interest\n",
    "# imx, imy only valid at theta < 90 deg\n",
    "imx_interest, imy_interest = convert_radec2imxy(ra_interest, dec_interest, att_quat)\n",
    "print(\"imx, imy\")\n",
    "print imx_interest, imy_interest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "24 split rate result files\n",
      "Merged split rate results table has 53244 rows\n",
      "CPU times: user 282 ms, sys: 26.3 ms, total: 308 ms\n",
      "Wall time: 315 ms\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "do_manage2.py:170: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n",
      "of pandas will change to not sort by default.\n",
      "\n",
      "To accept the future behavior, pass 'sort=False'.\n",
      "\n",
      "To retain the current behavior and silence the warning, pass 'sort=True'.\n",
      "\n",
      "  df = pd.concat(dfs, ignore_index=ignore_index)\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# getting split rate analysis results\n",
    "\n",
    "# get the file names\n",
    "res_rate_fnames = get_rate_res_fnames(work_dir)\n",
    "print(\"%d split rate result files\"%(len(res_rate_fnames)))\n",
    "# read files and merge into one Pandas Dataframe\n",
    "res_rate_tab = get_merged_csv_df(res_rate_fnames, work_dir, ignore_index=True)\n",
    "print(\"Merged split rate results table has %d rows\"%(len(res_rate_tab)))\n",
    "res_rate_tab['dt'] = res_rate_tab['time'] - trigger_time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "        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>4U 1700-377_rt_sum</th>\n",
       "      <th>A</th>\n",
       "      <th>Epeak</th>\n",
       "      <th>GRO J1655-40_rt_sum</th>\n",
       "      <th>GX 339-4_rt_sum</th>\n",
       "      <th>Sco X-1_rt_sum</th>\n",
       "      <th>TS</th>\n",
       "      <th>bkg_nllh</th>\n",
       "      <th>dur</th>\n",
       "      <th>gamma</th>\n",
       "      <th>hp_ind</th>\n",
       "      <th>imx</th>\n",
       "      <th>imy</th>\n",
       "      <th>ndets</th>\n",
       "      <th>nllh</th>\n",
       "      <th>phi</th>\n",
       "      <th>solid_angle</th>\n",
       "      <th>theta</th>\n",
       "      <th>time</th>\n",
       "      <th>timeID</th>\n",
       "      <th>dt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>24189</th>\n",
       "      <td>3308.140625</td>\n",
       "      <td>0.005131</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3096.148438</td>\n",
       "      <td>1976.254395</td>\n",
       "      <td>3396.428711</td>\n",
       "      <td>18.524986</td>\n",
       "      <td>261.024004</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.236981</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.08</td>\n",
       "      <td>-0.56</td>\n",
       "      <td>7147</td>\n",
       "      <td>89.436460</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7206.133604</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33777</th>\n",
       "      <td>3463.363281</td>\n",
       "      <td>0.005100</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3397.006836</td>\n",
       "      <td>1976.254395</td>\n",
       "      <td>3573.353271</td>\n",
       "      <td>18.497463</td>\n",
       "      <td>264.219452</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.240639</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>-0.56</td>\n",
       "      <td>7314</td>\n",
       "      <td>93.141376</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7397.469045</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29017</th>\n",
       "      <td>3897.023438</td>\n",
       "      <td>0.004559</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3526.900879</td>\n",
       "      <td>1976.254395</td>\n",
       "      <td>4468.304688</td>\n",
       "      <td>18.450624</td>\n",
       "      <td>253.554914</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.187357</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.32</td>\n",
       "      <td>-0.40</td>\n",
       "      <td>9925</td>\n",
       "      <td>83.342152</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10084.993057</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51797</th>\n",
       "      <td>3542.836670</td>\n",
       "      <td>0.004821</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3238.922852</td>\n",
       "      <td>1971.113525</td>\n",
       "      <td>4008.572021</td>\n",
       "      <td>18.420209</td>\n",
       "      <td>257.861285</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.221658</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.44</td>\n",
       "      <td>-0.40</td>\n",
       "      <td>8567</td>\n",
       "      <td>88.209233</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8726.558695</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46765</th>\n",
       "      <td>2914.345215</td>\n",
       "      <td>0.005365</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2866.721680</td>\n",
       "      <td>1936.077148</td>\n",
       "      <td>2952.979980</td>\n",
       "      <td>18.413330</td>\n",
       "      <td>262.882505</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.264898</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.10</td>\n",
       "      <td>-0.64</td>\n",
       "      <td>6090</td>\n",
       "      <td>93.357147</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6129.661822</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20381</th>\n",
       "      <td>3276.141602</td>\n",
       "      <td>0.004996</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3046.996094</td>\n",
       "      <td>1964.611084</td>\n",
       "      <td>3501.029297</td>\n",
       "      <td>18.410200</td>\n",
       "      <td>255.301063</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.250540</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.38</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>7545</td>\n",
       "      <td>85.833324</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7671.704471</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49145</th>\n",
       "      <td>3683.522461</td>\n",
       "      <td>0.004740</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3367.135742</td>\n",
       "      <td>1976.254272</td>\n",
       "      <td>3998.754883</td>\n",
       "      <td>18.405803</td>\n",
       "      <td>256.258841</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.169867</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.26</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>8639</td>\n",
       "      <td>86.872050</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8773.869983</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21129</th>\n",
       "      <td>4073.167236</td>\n",
       "      <td>0.004355</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3558.800049</td>\n",
       "      <td>1976.254395</td>\n",
       "      <td>4918.258301</td>\n",
       "      <td>18.351019</td>\n",
       "      <td>251.132652</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.134831</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.38</td>\n",
       "      <td>-0.32</td>\n",
       "      <td>10908</td>\n",
       "      <td>82.752700</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11082.322131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48329</th>\n",
       "      <td>2534.849609</td>\n",
       "      <td>0.005568</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2437.718750</td>\n",
       "      <td>1814.178589</td>\n",
       "      <td>2535.038818</td>\n",
       "      <td>18.343302</td>\n",
       "      <td>260.442375</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.300736</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.14</td>\n",
       "      <td>-0.64</td>\n",
       "      <td>5263</td>\n",
       "      <td>92.204018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5257.262112</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52953</th>\n",
       "      <td>2739.820312</td>\n",
       "      <td>0.005432</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2669.706787</td>\n",
       "      <td>1966.270020</td>\n",
       "      <td>2753.237061</td>\n",
       "      <td>18.331746</td>\n",
       "      <td>262.678926</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.271188</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.02</td>\n",
       "      <td>-0.64</td>\n",
       "      <td>5709</td>\n",
       "      <td>94.652475</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5735.294086</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44861</th>\n",
       "      <td>3470.923828</td>\n",
       "      <td>0.004983</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3340.487793</td>\n",
       "      <td>1976.254395</td>\n",
       "      <td>3580.875244</td>\n",
       "      <td>18.322459</td>\n",
       "      <td>258.669331</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.185320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>-0.56</td>\n",
       "      <td>7311</td>\n",
       "      <td>90.813072</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7382.974082</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10793</th>\n",
       "      <td>1886.661133</td>\n",
       "      <td>0.005897</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1814.812012</td>\n",
       "      <td>1312.075195</td>\n",
       "      <td>1917.067505</td>\n",
       "      <td>18.314090</td>\n",
       "      <td>257.152223</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.490524</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.74</td>\n",
       "      <td>-0.64</td>\n",
       "      <td>3946</td>\n",
       "      <td>89.449277</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3986.597603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38809</th>\n",
       "      <td>2713.097656</td>\n",
       "      <td>0.005400</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2653.986328</td>\n",
       "      <td>1880.681030</td>\n",
       "      <td>2747.229492</td>\n",
       "      <td>18.299154</td>\n",
       "      <td>260.097320</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.272560</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.22</td>\n",
       "      <td>-0.64</td>\n",
       "      <td>5648</td>\n",
       "      <td>92.667793</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5685.659383</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25413</th>\n",
       "      <td>3243.520752</td>\n",
       "      <td>0.005023</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3031.834473</td>\n",
       "      <td>1976.254272</td>\n",
       "      <td>3343.482910</td>\n",
       "      <td>18.298146</td>\n",
       "      <td>256.627926</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.190247</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.20</td>\n",
       "      <td>-0.56</td>\n",
       "      <td>7054</td>\n",
       "      <td>89.216846</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7124.424778</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52001</th>\n",
       "      <td>2881.511475</td>\n",
       "      <td>0.005229</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2714.913086</td>\n",
       "      <td>1951.660767</td>\n",
       "      <td>3018.865723</td>\n",
       "      <td>18.295390</td>\n",
       "      <td>257.892325</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.274180</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.32</td>\n",
       "      <td>-0.56</td>\n",
       "      <td>6373</td>\n",
       "      <td>90.531672</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6450.090479</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16845</th>\n",
       "      <td>3918.523926</td>\n",
       "      <td>0.004790</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3527.067139</td>\n",
       "      <td>1976.254517</td>\n",
       "      <td>4172.052734</td>\n",
       "      <td>18.289312</td>\n",
       "      <td>256.511275</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.187407</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.22</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>8530</td>\n",
       "      <td>89.261814</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8641.441958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35681</th>\n",
       "      <td>1505.411133</td>\n",
       "      <td>0.006461</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1471.464478</td>\n",
       "      <td>1125.064209</td>\n",
       "      <td>1572.357056</td>\n",
       "      <td>18.284830</td>\n",
       "      <td>249.926011</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.555561</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.44</td>\n",
       "      <td>-0.72</td>\n",
       "      <td>3180</td>\n",
       "      <td>82.758499</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3214.638126</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9433</th>\n",
       "      <td>2462.552979</td>\n",
       "      <td>0.005550</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2407.239746</td>\n",
       "      <td>1514.136597</td>\n",
       "      <td>2547.925293</td>\n",
       "      <td>18.247805</td>\n",
       "      <td>257.447438</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.380419</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.56</td>\n",
       "      <td>-0.56</td>\n",
       "      <td>5192</td>\n",
       "      <td>90.956246</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5297.506630</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33641</th>\n",
       "      <td>1017.414062</td>\n",
       "      <td>0.006999</td>\n",
       "      <td>959.083011</td>\n",
       "      <td>994.486877</td>\n",
       "      <td>797.742188</td>\n",
       "      <td>1038.338501</td>\n",
       "      <td>18.243742</td>\n",
       "      <td>249.135156</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.582146</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.38</td>\n",
       "      <td>-0.80</td>\n",
       "      <td>2111</td>\n",
       "      <td>82.718096</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2113.037923</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43909</th>\n",
       "      <td>1947.792847</td>\n",
       "      <td>0.005942</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1907.100830</td>\n",
       "      <td>1392.755371</td>\n",
       "      <td>1985.979248</td>\n",
       "      <td>18.237637</td>\n",
       "      <td>254.744852</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.430519</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.50</td>\n",
       "      <td>-0.64</td>\n",
       "      <td>4075</td>\n",
       "      <td>88.439151</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4147.153126</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48261</th>\n",
       "      <td>2753.189697</td>\n",
       "      <td>0.004712</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2459.577637</td>\n",
       "      <td>1444.139160</td>\n",
       "      <td>3177.625488</td>\n",
       "      <td>18.229300</td>\n",
       "      <td>252.944955</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.295909</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.80</td>\n",
       "      <td>-0.24</td>\n",
       "      <td>8064</td>\n",
       "      <td>86.791265</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8155.978360</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35545</th>\n",
       "      <td>2199.801758</td>\n",
       "      <td>0.005673</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2124.904053</td>\n",
       "      <td>1564.200195</td>\n",
       "      <td>2220.031250</td>\n",
       "      <td>18.219148</td>\n",
       "      <td>254.924940</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.342291</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.38</td>\n",
       "      <td>-0.64</td>\n",
       "      <td>4591</td>\n",
       "      <td>88.956266</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4635.248662</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26229</th>\n",
       "      <td>4107.039062</td>\n",
       "      <td>0.004076</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3570.471680</td>\n",
       "      <td>1974.977295</td>\n",
       "      <td>5269.171875</td>\n",
       "      <td>18.217772</td>\n",
       "      <td>244.126894</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.157124</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.50</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>12560</td>\n",
       "      <td>78.183285</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12703.488009</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51525</th>\n",
       "      <td>2405.287598</td>\n",
       "      <td>0.005503</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2310.139160</td>\n",
       "      <td>1744.542236</td>\n",
       "      <td>2435.586426</td>\n",
       "      <td>18.214678</td>\n",
       "      <td>258.913684</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.264820</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.26</td>\n",
       "      <td>-0.64</td>\n",
       "      <td>5002</td>\n",
       "      <td>93.026438</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5012.044131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33981</th>\n",
       "      <td>4121.427734</td>\n",
       "      <td>0.004193</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3591.343750</td>\n",
       "      <td>1976.254517</td>\n",
       "      <td>5141.248535</td>\n",
       "      <td>18.206815</td>\n",
       "      <td>245.950329</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.166602</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.44</td>\n",
       "      <td>-0.24</td>\n",
       "      <td>11890</td>\n",
       "      <td>80.206267</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12049.703933</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27181</th>\n",
       "      <td>3655.563232</td>\n",
       "      <td>0.004539</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3268.968750</td>\n",
       "      <td>1947.484253</td>\n",
       "      <td>4342.060547</td>\n",
       "      <td>18.206334</td>\n",
       "      <td>252.381302</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.150785</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.50</td>\n",
       "      <td>-0.32</td>\n",
       "      <td>9492</td>\n",
       "      <td>86.646010</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9679.081439</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14941</th>\n",
       "      <td>3668.826172</td>\n",
       "      <td>0.004194</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3253.004883</td>\n",
       "      <td>1924.742676</td>\n",
       "      <td>4712.764648</td>\n",
       "      <td>18.182078</td>\n",
       "      <td>247.388922</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.181883</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.62</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>11456</td>\n",
       "      <td>82.094936</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11600.051013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28541</th>\n",
       "      <td>2685.166504</td>\n",
       "      <td>0.004738</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2389.010986</td>\n",
       "      <td>1362.743896</td>\n",
       "      <td>3185.188965</td>\n",
       "      <td>18.171312</td>\n",
       "      <td>250.401905</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.285248</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.92</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>8232</td>\n",
       "      <td>85.303609</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8337.988478</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20313</th>\n",
       "      <td>2507.041016</td>\n",
       "      <td>0.005407</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2277.100586</td>\n",
       "      <td>1362.743774</td>\n",
       "      <td>2608.147949</td>\n",
       "      <td>18.170393</td>\n",
       "      <td>253.240113</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.430195</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.04</td>\n",
       "      <td>-0.24</td>\n",
       "      <td>6538</td>\n",
       "      <td>88.158515</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6593.119204</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44045</th>\n",
       "      <td>3774.344238</td>\n",
       "      <td>0.004532</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3415.608154</td>\n",
       "      <td>1976.254395</td>\n",
       "      <td>4090.545410</td>\n",
       "      <td>18.165880</td>\n",
       "      <td>253.089205</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.083165</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.14</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>8831</td>\n",
       "      <td>88.089600</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8945.558085</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46221</th>\n",
       "      <td>3816.281738</td>\n",
       "      <td>0.004601</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3560.845947</td>\n",
       "      <td>1969.224365</td>\n",
       "      <td>4537.526367</td>\n",
       "      <td>18.161823</td>\n",
       "      <td>250.504306</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.166920</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.40</td>\n",
       "      <td>-0.40</td>\n",
       "      <td>9266</td>\n",
       "      <td>85.578399</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9435.296848</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18001</th>\n",
       "      <td>1881.994751</td>\n",
       "      <td>0.005842</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1848.421631</td>\n",
       "      <td>1342.747925</td>\n",
       "      <td>1912.569824</td>\n",
       "      <td>18.157626</td>\n",
       "      <td>256.550392</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.425905</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.62</td>\n",
       "      <td>-0.64</td>\n",
       "      <td>3948</td>\n",
       "      <td>91.700706</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4017.016461</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32145</th>\n",
       "      <td>2104.311035</td>\n",
       "      <td>0.005960</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1946.665649</td>\n",
       "      <td>1358.400635</td>\n",
       "      <td>2128.535400</td>\n",
       "      <td>18.152787</td>\n",
       "      <td>251.482833</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.514049</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.98</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>4820</td>\n",
       "      <td>86.720995</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4862.921186</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44657</th>\n",
       "      <td>3165.252441</td>\n",
       "      <td>0.005047</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3122.190918</td>\n",
       "      <td>1962.699829</td>\n",
       "      <td>3342.292725</td>\n",
       "      <td>18.151209</td>\n",
       "      <td>258.108637</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.199517</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.28</td>\n",
       "      <td>-0.56</td>\n",
       "      <td>6818</td>\n",
       "      <td>93.375436</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6903.165450</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38469</th>\n",
       "      <td>3081.803711</td>\n",
       "      <td>0.004506</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2764.121094</td>\n",
       "      <td>1692.700439</td>\n",
       "      <td>3731.791992</td>\n",
       "      <td>18.150145</td>\n",
       "      <td>252.854852</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.230586</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.68</td>\n",
       "      <td>-0.24</td>\n",
       "      <td>9195</td>\n",
       "      <td>88.140976</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9327.993301</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44385</th>\n",
       "      <td>3501.917969</td>\n",
       "      <td>0.004224</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3058.488770</td>\n",
       "      <td>1816.656738</td>\n",
       "      <td>4645.451660</td>\n",
       "      <td>18.147156</td>\n",
       "      <td>246.362954</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.179300</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.68</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>11410</td>\n",
       "      <td>81.703326</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11556.453924</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51117</th>\n",
       "      <td>3028.078125</td>\n",
       "      <td>0.004972</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2892.982910</td>\n",
       "      <td>1821.203613</td>\n",
       "      <td>3374.447266</td>\n",
       "      <td>18.143219</td>\n",
       "      <td>253.103534</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.192983</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.46</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>6889</td>\n",
       "      <td>88.515338</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7020.268860</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47377</th>\n",
       "      <td>4083.491699</td>\n",
       "      <td>0.004029</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3534.917236</td>\n",
       "      <td>1975.845947</td>\n",
       "      <td>5343.960938</td>\n",
       "      <td>18.136199</td>\n",
       "      <td>242.737454</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.166141</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.56</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>12890</td>\n",
       "      <td>78.276594</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13012.668668</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27657</th>\n",
       "      <td>2842.733398</td>\n",
       "      <td>0.004888</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2577.583496</td>\n",
       "      <td>1557.007812</td>\n",
       "      <td>3042.379883</td>\n",
       "      <td>18.135317</td>\n",
       "      <td>252.989949</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.272336</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.68</td>\n",
       "      <td>-0.40</td>\n",
       "      <td>6941</td>\n",
       "      <td>88.545081</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7068.049379</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29901</th>\n",
       "      <td>3946.049316</td>\n",
       "      <td>0.004495</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3466.200439</td>\n",
       "      <td>1976.254395</td>\n",
       "      <td>4157.835938</td>\n",
       "      <td>18.135317</td>\n",
       "      <td>253.778904</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.054448</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.02</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>8866</td>\n",
       "      <td>89.334037</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8973.680247</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38061</th>\n",
       "      <td>3412.234375</td>\n",
       "      <td>0.004785</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3210.553711</td>\n",
       "      <td>1864.876099</td>\n",
       "      <td>3956.516113</td>\n",
       "      <td>18.135072</td>\n",
       "      <td>251.663972</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.218383</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.52</td>\n",
       "      <td>-0.40</td>\n",
       "      <td>8060</td>\n",
       "      <td>87.223556</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8232.203004</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50437</th>\n",
       "      <td>2710.343750</td>\n",
       "      <td>0.005156</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2482.383057</td>\n",
       "      <td>1491.677979</td>\n",
       "      <td>3012.959717</td>\n",
       "      <td>18.134069</td>\n",
       "      <td>250.539884</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.284163</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.58</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>6083</td>\n",
       "      <td>86.117658</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6214.818794</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21877</th>\n",
       "      <td>1780.812500</td>\n",
       "      <td>0.005960</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1724.580078</td>\n",
       "      <td>1350.577148</td>\n",
       "      <td>1808.736084</td>\n",
       "      <td>18.132614</td>\n",
       "      <td>252.499132</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.403527</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.28</td>\n",
       "      <td>-0.72</td>\n",
       "      <td>3731</td>\n",
       "      <td>88.103279</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3745.886486</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10453</th>\n",
       "      <td>965.057190</td>\n",
       "      <td>0.006993</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>948.012634</td>\n",
       "      <td>762.935059</td>\n",
       "      <td>995.778320</td>\n",
       "      <td>18.129666</td>\n",
       "      <td>251.010514</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.607855</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.34</td>\n",
       "      <td>-0.80</td>\n",
       "      <td>2019</td>\n",
       "      <td>86.668119</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2010.270796</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31465</th>\n",
       "      <td>2237.168457</td>\n",
       "      <td>0.005449</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2059.248047</td>\n",
       "      <td>1362.743896</td>\n",
       "      <td>2266.817871</td>\n",
       "      <td>18.122737</td>\n",
       "      <td>253.681545</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.392090</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.80</td>\n",
       "      <td>-0.56</td>\n",
       "      <td>4796</td>\n",
       "      <td>89.464754</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4862.511384</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14669</th>\n",
       "      <td>1939.652466</td>\n",
       "      <td>0.005700</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1870.283325</td>\n",
       "      <td>1144.328857</td>\n",
       "      <td>2024.383789</td>\n",
       "      <td>18.119548</td>\n",
       "      <td>249.199357</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.386856</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.64</td>\n",
       "      <td>-0.56</td>\n",
       "      <td>4093</td>\n",
       "      <td>85.040344</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4147.487978</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51049</th>\n",
       "      <td>1813.830566</td>\n",
       "      <td>0.005892</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1768.229004</td>\n",
       "      <td>1447.160889</td>\n",
       "      <td>1813.195312</td>\n",
       "      <td>18.118070</td>\n",
       "      <td>255.057392</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.343597</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.20</td>\n",
       "      <td>-0.72</td>\n",
       "      <td>3748</td>\n",
       "      <td>90.925163</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3713.096495</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17525</th>\n",
       "      <td>4200.161133</td>\n",
       "      <td>0.003892</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3609.397461</td>\n",
       "      <td>1976.254395</td>\n",
       "      <td>5795.178711</td>\n",
       "      <td>18.117878</td>\n",
       "      <td>241.108590</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.106962</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.08</td>\n",
       "      <td>13961</td>\n",
       "      <td>76.979845</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14041.239576</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23441</th>\n",
       "      <td>2313.709961</td>\n",
       "      <td>0.005413</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2174.935059</td>\n",
       "      <td>1378.567749</td>\n",
       "      <td>2404.594238</td>\n",
       "      <td>18.116202</td>\n",
       "      <td>255.204969</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.360549</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.68</td>\n",
       "      <td>-0.56</td>\n",
       "      <td>4953</td>\n",
       "      <td>91.106588</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5041.274865</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36905</th>\n",
       "      <td>2683.888184</td>\n",
       "      <td>0.004839</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2378.468018</td>\n",
       "      <td>1362.743774</td>\n",
       "      <td>2874.830566</td>\n",
       "      <td>18.115809</td>\n",
       "      <td>253.582571</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.318259</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.98</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>7369</td>\n",
       "      <td>89.491303</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7446.879721</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28337</th>\n",
       "      <td>2508.821045</td>\n",
       "      <td>0.006008</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2259.522461</td>\n",
       "      <td>1362.743896</td>\n",
       "      <td>2613.297607</td>\n",
       "      <td>18.113562</td>\n",
       "      <td>253.219444</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.526919</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.16</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>6873</td>\n",
       "      <td>89.168875</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6906.546674</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41597</th>\n",
       "      <td>2491.762695</td>\n",
       "      <td>0.006517</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2214.603271</td>\n",
       "      <td>1362.743774</td>\n",
       "      <td>2587.534180</td>\n",
       "      <td>18.105695</td>\n",
       "      <td>251.255891</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.579662</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.22</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6837</td>\n",
       "      <td>87.347796</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6863.519861</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30989</th>\n",
       "      <td>1715.598755</td>\n",
       "      <td>0.006058</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1655.157471</td>\n",
       "      <td>1289.455566</td>\n",
       "      <td>1728.163330</td>\n",
       "      <td>18.100077</td>\n",
       "      <td>252.572281</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.437892</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.32</td>\n",
       "      <td>-0.72</td>\n",
       "      <td>3560</td>\n",
       "      <td>88.765882</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3565.876808</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15757</th>\n",
       "      <td>2779.682861</td>\n",
       "      <td>0.004633</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2475.367188</td>\n",
       "      <td>1454.382446</td>\n",
       "      <td>3223.416016</td>\n",
       "      <td>18.098224</td>\n",
       "      <td>251.342381</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.246618</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.86</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>8249</td>\n",
       "      <td>87.569517</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8349.331950</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17933</th>\n",
       "      <td>4095.593262</td>\n",
       "      <td>0.004375</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3661.303223</td>\n",
       "      <td>1976.254395</td>\n",
       "      <td>4683.235352</td>\n",
       "      <td>18.098101</td>\n",
       "      <td>248.120990</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.125877</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.20</td>\n",
       "      <td>-0.40</td>\n",
       "      <td>10463</td>\n",
       "      <td>84.350356</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10610.889882</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18409</th>\n",
       "      <td>4075.302246</td>\n",
       "      <td>0.004431</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3661.524658</td>\n",
       "      <td>1976.254395</td>\n",
       "      <td>4810.178223</td>\n",
       "      <td>18.096897</td>\n",
       "      <td>250.216333</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.114713</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.28</td>\n",
       "      <td>-0.40</td>\n",
       "      <td>9902</td>\n",
       "      <td>86.467496</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10053.744025</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19973</th>\n",
       "      <td>2103.817139</td>\n",
       "      <td>0.005523</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2032.961426</td>\n",
       "      <td>1439.491943</td>\n",
       "      <td>2237.812500</td>\n",
       "      <td>18.092639</td>\n",
       "      <td>251.527682</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.302071</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.52</td>\n",
       "      <td>-0.56</td>\n",
       "      <td>4594</td>\n",
       "      <td>87.855890</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4673.808627</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17321</th>\n",
       "      <td>4249.120117</td>\n",
       "      <td>0.004328</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3673.657227</td>\n",
       "      <td>1976.254395</td>\n",
       "      <td>4823.883789</td>\n",
       "      <td>18.091712</td>\n",
       "      <td>250.324098</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.078904</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>-0.40</td>\n",
       "      <td>10217</td>\n",
       "      <td>86.669082</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10354.238425</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46017</th>\n",
       "      <td>3152.370605</td>\n",
       "      <td>0.004720</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2859.478027</td>\n",
       "      <td>1820.359985</td>\n",
       "      <td>3562.348633</td>\n",
       "      <td>18.082302</td>\n",
       "      <td>251.684418</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.186419</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.56</td>\n",
       "      <td>-0.40</td>\n",
       "      <td>7630</td>\n",
       "      <td>88.199601</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7789.151804</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30921</th>\n",
       "      <td>2680.879395</td>\n",
       "      <td>0.004916</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2374.585449</td>\n",
       "      <td>1362.743896</td>\n",
       "      <td>2801.054688</td>\n",
       "      <td>18.082098</td>\n",
       "      <td>251.490503</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.312368</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.86</td>\n",
       "      <td>-0.32</td>\n",
       "      <td>6920</td>\n",
       "      <td>88.009362</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7016.125618</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36973</th>\n",
       "      <td>2840.694580</td>\n",
       "      <td>0.004729</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2513.717529</td>\n",
       "      <td>1494.172974</td>\n",
       "      <td>3106.783203</td>\n",
       "      <td>18.081893</td>\n",
       "      <td>252.147944</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.235436</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.74</td>\n",
       "      <td>-0.32</td>\n",
       "      <td>7593</td>\n",
       "      <td>88.670524</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7716.479179</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32485</th>\n",
       "      <td>3494.626953</td>\n",
       "      <td>0.004229</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>3057.437500</td>\n",
       "      <td>1721.652466</td>\n",
       "      <td>4880.694336</td>\n",
       "      <td>18.081588</td>\n",
       "      <td>243.258063</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.131274</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0.16</td>\n",
       "      <td>11951</td>\n",
       "      <td>79.786150</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12102.506175</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26025</th>\n",
       "      <td>1965.577637</td>\n",
       "      <td>0.006059</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1798.108154</td>\n",
       "      <td>1347.153931</td>\n",
       "      <td>1975.702393</td>\n",
       "      <td>18.080856</td>\n",
       "      <td>250.019392</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.521396</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.92</td>\n",
       "      <td>-0.56</td>\n",
       "      <td>4232</td>\n",
       "      <td>86.560712</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4264.853318</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42005</th>\n",
       "      <td>2520.865723</td>\n",
       "      <td>0.005652</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>2284.188721</td>\n",
       "      <td>1362.022827</td>\n",
       "      <td>2628.216064</td>\n",
       "      <td>18.080445</td>\n",
       "      <td>252.778563</td>\n",
       "      <td>2.048</td>\n",
       "      <td>0.461808</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.10</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>6772</td>\n",
       "      <td>89.327320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6819.014533</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       4U 1700-377_rt_sum         A        Epeak  GRO J1655-40_rt_sum  \\\n",
       "24189         3308.140625  0.005131  1000.000000          3096.148438   \n",
       "33777         3463.363281  0.005100  1000.000000          3397.006836   \n",
       "29017         3897.023438  0.004559  1000.000000          3526.900879   \n",
       "51797         3542.836670  0.004821  1000.000000          3238.922852   \n",
       "46765         2914.345215  0.005365  1000.000000          2866.721680   \n",
       "20381         3276.141602  0.004996  1000.000000          3046.996094   \n",
       "49145         3683.522461  0.004740  1000.000000          3367.135742   \n",
       "21129         4073.167236  0.004355  1000.000000          3558.800049   \n",
       "48329         2534.849609  0.005568  1000.000000          2437.718750   \n",
       "52953         2739.820312  0.005432  1000.000000          2669.706787   \n",
       "44861         3470.923828  0.004983  1000.000000          3340.487793   \n",
       "10793         1886.661133  0.005897  1000.000000          1814.812012   \n",
       "38809         2713.097656  0.005400  1000.000000          2653.986328   \n",
       "25413         3243.520752  0.005023  1000.000000          3031.834473   \n",
       "52001         2881.511475  0.005229  1000.000000          2714.913086   \n",
       "16845         3918.523926  0.004790  1000.000000          3527.067139   \n",
       "35681         1505.411133  0.006461  1000.000000          1471.464478   \n",
       "9433          2462.552979  0.005550  1000.000000          2407.239746   \n",
       "33641         1017.414062  0.006999   959.083011           994.486877   \n",
       "43909         1947.792847  0.005942  1000.000000          1907.100830   \n",
       "48261         2753.189697  0.004712  1000.000000          2459.577637   \n",
       "35545         2199.801758  0.005673  1000.000000          2124.904053   \n",
       "26229         4107.039062  0.004076  1000.000000          3570.471680   \n",
       "51525         2405.287598  0.005503  1000.000000          2310.139160   \n",
       "33981         4121.427734  0.004193  1000.000000          3591.343750   \n",
       "27181         3655.563232  0.004539  1000.000000          3268.968750   \n",
       "14941         3668.826172  0.004194  1000.000000          3253.004883   \n",
       "28541         2685.166504  0.004738  1000.000000          2389.010986   \n",
       "20313         2507.041016  0.005407  1000.000000          2277.100586   \n",
       "44045         3774.344238  0.004532  1000.000000          3415.608154   \n",
       "46221         3816.281738  0.004601  1000.000000          3560.845947   \n",
       "18001         1881.994751  0.005842  1000.000000          1848.421631   \n",
       "32145         2104.311035  0.005960  1000.000000          1946.665649   \n",
       "44657         3165.252441  0.005047  1000.000000          3122.190918   \n",
       "38469         3081.803711  0.004506  1000.000000          2764.121094   \n",
       "44385         3501.917969  0.004224  1000.000000          3058.488770   \n",
       "51117         3028.078125  0.004972  1000.000000          2892.982910   \n",
       "47377         4083.491699  0.004029  1000.000000          3534.917236   \n",
       "27657         2842.733398  0.004888  1000.000000          2577.583496   \n",
       "29901         3946.049316  0.004495  1000.000000          3466.200439   \n",
       "38061         3412.234375  0.004785  1000.000000          3210.553711   \n",
       "50437         2710.343750  0.005156  1000.000000          2482.383057   \n",
       "21877         1780.812500  0.005960  1000.000000          1724.580078   \n",
       "10453          965.057190  0.006993  1000.000000           948.012634   \n",
       "31465         2237.168457  0.005449  1000.000000          2059.248047   \n",
       "14669         1939.652466  0.005700  1000.000000          1870.283325   \n",
       "51049         1813.830566  0.005892  1000.000000          1768.229004   \n",
       "17525         4200.161133  0.003892  1000.000000          3609.397461   \n",
       "23441         2313.709961  0.005413  1000.000000          2174.935059   \n",
       "36905         2683.888184  0.004839  1000.000000          2378.468018   \n",
       "28337         2508.821045  0.006008  1000.000000          2259.522461   \n",
       "41597         2491.762695  0.006517  1000.000000          2214.603271   \n",
       "30989         1715.598755  0.006058  1000.000000          1655.157471   \n",
       "15757         2779.682861  0.004633  1000.000000          2475.367188   \n",
       "17933         4095.593262  0.004375  1000.000000          3661.303223   \n",
       "18409         4075.302246  0.004431  1000.000000          3661.524658   \n",
       "19973         2103.817139  0.005523  1000.000000          2032.961426   \n",
       "17321         4249.120117  0.004328  1000.000000          3673.657227   \n",
       "46017         3152.370605  0.004720  1000.000000          2859.478027   \n",
       "30921         2680.879395  0.004916  1000.000000          2374.585449   \n",
       "36973         2840.694580  0.004729  1000.000000          2513.717529   \n",
       "32485         3494.626953  0.004229  1000.000000          3057.437500   \n",
       "26025         1965.577637  0.006059  1000.000000          1798.108154   \n",
       "42005         2520.865723  0.005652  1000.000000          2284.188721   \n",
       "\n",
       "       GX 339-4_rt_sum  Sco X-1_rt_sum         TS    bkg_nllh    dur  \\\n",
       "24189      1976.254395     3396.428711  18.524986  261.024004  2.048   \n",
       "33777      1976.254395     3573.353271  18.497463  264.219452  2.048   \n",
       "29017      1976.254395     4468.304688  18.450624  253.554914  2.048   \n",
       "51797      1971.113525     4008.572021  18.420209  257.861285  2.048   \n",
       "46765      1936.077148     2952.979980  18.413330  262.882505  2.048   \n",
       "20381      1964.611084     3501.029297  18.410200  255.301063  2.048   \n",
       "49145      1976.254272     3998.754883  18.405803  256.258841  2.048   \n",
       "21129      1976.254395     4918.258301  18.351019  251.132652  2.048   \n",
       "48329      1814.178589     2535.038818  18.343302  260.442375  2.048   \n",
       "52953      1966.270020     2753.237061  18.331746  262.678926  2.048   \n",
       "44861      1976.254395     3580.875244  18.322459  258.669331  2.048   \n",
       "10793      1312.075195     1917.067505  18.314090  257.152223  2.048   \n",
       "38809      1880.681030     2747.229492  18.299154  260.097320  2.048   \n",
       "25413      1976.254272     3343.482910  18.298146  256.627926  2.048   \n",
       "52001      1951.660767     3018.865723  18.295390  257.892325  2.048   \n",
       "16845      1976.254517     4172.052734  18.289312  256.511275  2.048   \n",
       "35681      1125.064209     1572.357056  18.284830  249.926011  2.048   \n",
       "9433       1514.136597     2547.925293  18.247805  257.447438  2.048   \n",
       "33641       797.742188     1038.338501  18.243742  249.135156  2.048   \n",
       "43909      1392.755371     1985.979248  18.237637  254.744852  2.048   \n",
       "48261      1444.139160     3177.625488  18.229300  252.944955  2.048   \n",
       "35545      1564.200195     2220.031250  18.219148  254.924940  2.048   \n",
       "26229      1974.977295     5269.171875  18.217772  244.126894  2.048   \n",
       "51525      1744.542236     2435.586426  18.214678  258.913684  2.048   \n",
       "33981      1976.254517     5141.248535  18.206815  245.950329  2.048   \n",
       "27181      1947.484253     4342.060547  18.206334  252.381302  2.048   \n",
       "14941      1924.742676     4712.764648  18.182078  247.388922  2.048   \n",
       "28541      1362.743896     3185.188965  18.171312  250.401905  2.048   \n",
       "20313      1362.743774     2608.147949  18.170393  253.240113  2.048   \n",
       "44045      1976.254395     4090.545410  18.165880  253.089205  2.048   \n",
       "46221      1969.224365     4537.526367  18.161823  250.504306  2.048   \n",
       "18001      1342.747925     1912.569824  18.157626  256.550392  2.048   \n",
       "32145      1358.400635     2128.535400  18.152787  251.482833  2.048   \n",
       "44657      1962.699829     3342.292725  18.151209  258.108637  2.048   \n",
       "38469      1692.700439     3731.791992  18.150145  252.854852  2.048   \n",
       "44385      1816.656738     4645.451660  18.147156  246.362954  2.048   \n",
       "51117      1821.203613     3374.447266  18.143219  253.103534  2.048   \n",
       "47377      1975.845947     5343.960938  18.136199  242.737454  2.048   \n",
       "27657      1557.007812     3042.379883  18.135317  252.989949  2.048   \n",
       "29901      1976.254395     4157.835938  18.135317  253.778904  2.048   \n",
       "38061      1864.876099     3956.516113  18.135072  251.663972  2.048   \n",
       "50437      1491.677979     3012.959717  18.134069  250.539884  2.048   \n",
       "21877      1350.577148     1808.736084  18.132614  252.499132  2.048   \n",
       "10453       762.935059      995.778320  18.129666  251.010514  2.048   \n",
       "31465      1362.743896     2266.817871  18.122737  253.681545  2.048   \n",
       "14669      1144.328857     2024.383789  18.119548  249.199357  2.048   \n",
       "51049      1447.160889     1813.195312  18.118070  255.057392  2.048   \n",
       "17525      1976.254395     5795.178711  18.117878  241.108590  2.048   \n",
       "23441      1378.567749     2404.594238  18.116202  255.204969  2.048   \n",
       "36905      1362.743774     2874.830566  18.115809  253.582571  2.048   \n",
       "28337      1362.743896     2613.297607  18.113562  253.219444  2.048   \n",
       "41597      1362.743774     2587.534180  18.105695  251.255891  2.048   \n",
       "30989      1289.455566     1728.163330  18.100077  252.572281  2.048   \n",
       "15757      1454.382446     3223.416016  18.098224  251.342381  2.048   \n",
       "17933      1976.254395     4683.235352  18.098101  248.120990  2.048   \n",
       "18409      1976.254395     4810.178223  18.096897  250.216333  2.048   \n",
       "19973      1439.491943     2237.812500  18.092639  251.527682  2.048   \n",
       "17321      1976.254395     4823.883789  18.091712  250.324098  2.048   \n",
       "46017      1820.359985     3562.348633  18.082302  251.684418  2.048   \n",
       "30921      1362.743896     2801.054688  18.082098  251.490503  2.048   \n",
       "36973      1494.172974     3106.783203  18.081893  252.147944  2.048   \n",
       "32485      1721.652466     4880.694336  18.081588  243.258063  2.048   \n",
       "26025      1347.153931     1975.702393  18.080856  250.019392  2.048   \n",
       "42005      1362.022827     2628.216064  18.080445  252.778563  2.048   \n",
       "\n",
       "          gamma  hp_ind   imx   imy  ndets       nllh  phi   solid_angle  \\\n",
       "24189  0.236981     NaN  0.08 -0.56   7147  89.436460  NaN   7206.133604   \n",
       "33777  0.240639     NaN -0.16 -0.56   7314  93.141376  NaN   7397.469045   \n",
       "29017  0.187357     NaN  0.32 -0.40   9925  83.342152  NaN  10084.993057   \n",
       "51797  0.221658     NaN  0.44 -0.40   8567  88.209233  NaN   8726.558695   \n",
       "46765  0.264898     NaN -0.10 -0.64   6090  93.357147  NaN   6129.661822   \n",
       "20381  0.250540     NaN  0.38 -0.48   7545  85.833324  NaN   7671.704471   \n",
       "49145  0.169867     NaN  0.26 -0.48   8639  86.872050  NaN   8773.869983   \n",
       "21129  0.134831     NaN  0.38 -0.32  10908  82.752700  NaN  11082.322131   \n",
       "48329  0.300736     NaN  0.14 -0.64   5263  92.204018  NaN   5257.262112   \n",
       "52953  0.271188     NaN  0.02 -0.64   5709  94.652475  NaN   5735.294086   \n",
       "44861  0.185320     NaN -0.04 -0.56   7311  90.813072  NaN   7382.974082   \n",
       "10793  0.490524     NaN  0.74 -0.64   3946  89.449277  NaN   3986.597603   \n",
       "38809  0.272560     NaN -0.22 -0.64   5648  92.667793  NaN   5685.659383   \n",
       "25413  0.190247     NaN  0.20 -0.56   7054  89.216846  NaN   7124.424778   \n",
       "52001  0.274180     NaN  0.32 -0.56   6373  90.531672  NaN   6450.090479   \n",
       "16845  0.187407     NaN -0.22 -0.48   8530  89.261814  NaN   8641.441958   \n",
       "35681  0.555561     NaN  0.44 -0.72   3180  82.758499  NaN   3214.638126   \n",
       "9433   0.380419     NaN  0.56 -0.56   5192  90.956246  NaN   5297.506630   \n",
       "33641  0.582146     NaN  0.38 -0.80   2111  82.718096  NaN   2113.037923   \n",
       "43909  0.430519     NaN  0.50 -0.64   4075  88.439151  NaN   4147.153126   \n",
       "48261  0.295909     NaN  0.80 -0.24   8064  86.791265  NaN   8155.978360   \n",
       "35545  0.342291     NaN  0.38 -0.64   4591  88.956266  NaN   4635.248662   \n",
       "26229  0.157124     NaN  0.50 -0.16  12560  78.183285  NaN  12703.488009   \n",
       "51525  0.264820     NaN  0.26 -0.64   5002  93.026438  NaN   5012.044131   \n",
       "33981  0.166602     NaN  0.44 -0.24  11890  80.206267  NaN  12049.703933   \n",
       "27181  0.150785     NaN  0.50 -0.32   9492  86.646010  NaN   9679.081439   \n",
       "14941  0.181883     NaN  0.62 -0.16  11456  82.094936  NaN  11600.051013   \n",
       "28541  0.285248     NaN  0.92 -0.08   8232  85.303609  NaN   8337.988478   \n",
       "20313  0.430195     NaN  1.04 -0.24   6538  88.158515  NaN   6593.119204   \n",
       "44045  0.083165     NaN  0.14 -0.48   8831  88.089600  NaN   8945.558085   \n",
       "46221  0.166920     NaN -0.40 -0.40   9266  85.578399  NaN   9435.296848   \n",
       "18001  0.425905     NaN  0.62 -0.64   3948  91.700706  NaN   4017.016461   \n",
       "32145  0.514049     NaN  0.98 -0.48   4820  86.720995  NaN   4862.921186   \n",
       "44657  0.199517     NaN -0.28 -0.56   6818  93.375436  NaN   6903.165450   \n",
       "38469  0.230586     NaN  0.68 -0.24   9195  88.140976  NaN   9327.993301   \n",
       "44385  0.179300     NaN  0.68 -0.08  11410  81.703326  NaN  11556.453924   \n",
       "51117  0.192983     NaN -0.46 -0.48   6889  88.515338  NaN   7020.268860   \n",
       "47377  0.166141     NaN  0.56 -0.08  12890  78.276594  NaN  13012.668668   \n",
       "27657  0.272336     NaN  0.68 -0.40   6941  88.545081  NaN   7068.049379   \n",
       "29901  0.054448     NaN  0.02 -0.48   8866  89.334037  NaN   8973.680247   \n",
       "38061  0.218383     NaN -0.52 -0.40   8060  87.223556  NaN   8232.203004   \n",
       "50437  0.284163     NaN -0.58 -0.48   6083  86.117658  NaN   6214.818794   \n",
       "21877  0.403527     NaN -0.28 -0.72   3731  88.103279  NaN   3745.886486   \n",
       "10453  0.607855     NaN -0.34 -0.80   2019  86.668119  NaN   2010.270796   \n",
       "31465  0.392090     NaN  0.80 -0.56   4796  89.464754  NaN   4862.511384   \n",
       "14669  0.386856     NaN -0.64 -0.56   4093  85.040344  NaN   4147.487978   \n",
       "51049  0.343597     NaN  0.20 -0.72   3748  90.925163  NaN   3713.096495   \n",
       "17525  0.106962     NaN  0.56  0.08  13961  76.979845  NaN  14041.239576   \n",
       "23441  0.360549     NaN  0.68 -0.56   4953  91.106588  NaN   5041.274865   \n",
       "36905  0.318259     NaN  0.98 -0.16   7369  89.491303  NaN   7446.879721   \n",
       "28337  0.526919     NaN  1.16 -0.08   6873  89.168875  NaN   6906.546674   \n",
       "41597  0.579662     NaN  1.22  0.00   6837  87.347796  NaN   6863.519861   \n",
       "30989  0.437892     NaN  0.32 -0.72   3560  88.765882  NaN   3565.876808   \n",
       "15757  0.246618     NaN  0.86 -0.16   8249  87.569517  NaN   8349.331950   \n",
       "17933  0.125877     NaN  0.20 -0.40  10463  84.350356  NaN  10610.889882   \n",
       "18409  0.114713     NaN -0.28 -0.40   9902  86.467496  NaN  10053.744025   \n",
       "19973  0.302071     NaN -0.52 -0.56   4594  87.855890  NaN   4673.808627   \n",
       "17321  0.078904     NaN -0.16 -0.40  10217  86.669082  NaN  10354.238425   \n",
       "46017  0.186419     NaN  0.56 -0.40   7630  88.199601  NaN   7789.151804   \n",
       "30921  0.312368     NaN  0.86 -0.32   6920  88.009362  NaN   7016.125618   \n",
       "36973  0.235436     NaN  0.74 -0.32   7593  88.670524  NaN   7716.479179   \n",
       "32485  0.131274     NaN  0.74  0.16  11951  79.786150  NaN  12102.506175   \n",
       "26025  0.521396     NaN  0.92 -0.56   4232  86.560712  NaN   4264.853318   \n",
       "42005  0.461808     NaN  1.10 -0.16   6772  89.327320  NaN   6819.014533   \n",
       "\n",
       "       theta          time   timeID     dt  \n",
       "24189    NaN  6.460184e+08 -5122048 -0.512  \n",
       "33777    NaN  6.460184e+08 -5122048 -0.512  \n",
       "29017    NaN  6.460184e+08 -5122048 -0.512  \n",
       "51797    NaN  6.460184e+08 -5122048 -0.512  \n",
       "46765    NaN  6.460184e+08 -5122048 -0.512  \n",
       "20381    NaN  6.460184e+08 -5122048 -0.512  \n",
       "49145    NaN  6.460184e+08 -5122048 -0.512  \n",
       "21129    NaN  6.460184e+08 -5122048 -0.512  \n",
       "48329    NaN  6.460184e+08 -5122048 -0.512  \n",
       "52953    NaN  6.460184e+08 -5122048 -0.512  \n",
       "44861    NaN  6.460184e+08 -5122048 -0.512  \n",
       "10793    NaN  6.460184e+08 -5122048 -0.512  \n",
       "38809    NaN  6.460184e+08 -5122048 -0.512  \n",
       "25413    NaN  6.460184e+08 -5122048 -0.512  \n",
       "52001    NaN  6.460184e+08 -5122048 -0.512  \n",
       "16845    NaN  6.460184e+08 -5122048 -0.512  \n",
       "35681    NaN  6.460184e+08 -5122048 -0.512  \n",
       "9433     NaN  6.460184e+08 -5122048 -0.512  \n",
       "33641    NaN  6.460184e+08 -5122048 -0.512  \n",
       "43909    NaN  6.460184e+08 -5122048 -0.512  \n",
       "48261    NaN  6.460184e+08 -5122048 -0.512  \n",
       "35545    NaN  6.460184e+08 -5122048 -0.512  \n",
       "26229    NaN  6.460184e+08 -5122048 -0.512  \n",
       "51525    NaN  6.460184e+08 -5122048 -0.512  \n",
       "33981    NaN  6.460184e+08 -5122048 -0.512  \n",
       "27181    NaN  6.460184e+08 -5122048 -0.512  \n",
       "14941    NaN  6.460184e+08 -5122048 -0.512  \n",
       "28541    NaN  6.460184e+08 -5122048 -0.512  \n",
       "20313    NaN  6.460184e+08 -5122048 -0.512  \n",
       "44045    NaN  6.460184e+08 -5122048 -0.512  \n",
       "46221    NaN  6.460184e+08 -5122048 -0.512  \n",
       "18001    NaN  6.460184e+08 -5122048 -0.512  \n",
       "32145    NaN  6.460184e+08 -5122048 -0.512  \n",
       "44657    NaN  6.460184e+08 -5122048 -0.512  \n",
       "38469    NaN  6.460184e+08 -5122048 -0.512  \n",
       "44385    NaN  6.460184e+08 -5122048 -0.512  \n",
       "51117    NaN  6.460184e+08 -5122048 -0.512  \n",
       "47377    NaN  6.460184e+08 -5122048 -0.512  \n",
       "27657    NaN  6.460184e+08 -5122048 -0.512  \n",
       "29901    NaN  6.460184e+08 -5122048 -0.512  \n",
       "38061    NaN  6.460184e+08 -5122048 -0.512  \n",
       "50437    NaN  6.460184e+08 -5122048 -0.512  \n",
       "21877    NaN  6.460184e+08 -5122048 -0.512  \n",
       "10453    NaN  6.460184e+08 -5122048 -0.512  \n",
       "31465    NaN  6.460184e+08 -5122048 -0.512  \n",
       "14669    NaN  6.460184e+08 -5122048 -0.512  \n",
       "51049    NaN  6.460184e+08 -5122048 -0.512  \n",
       "17525    NaN  6.460184e+08 -5122048 -0.512  \n",
       "23441    NaN  6.460184e+08 -5122048 -0.512  \n",
       "36905    NaN  6.460184e+08 -5122048 -0.512  \n",
       "28337    NaN  6.460184e+08 -5122048 -0.512  \n",
       "41597    NaN  6.460184e+08 -5122048 -0.512  \n",
       "30989    NaN  6.460184e+08 -5122048 -0.512  \n",
       "15757    NaN  6.460184e+08 -5122048 -0.512  \n",
       "17933    NaN  6.460184e+08 -5122048 -0.512  \n",
       "18409    NaN  6.460184e+08 -5122048 -0.512  \n",
       "19973    NaN  6.460184e+08 -5122048 -0.512  \n",
       "17321    NaN  6.460184e+08 -5122048 -0.512  \n",
       "46017    NaN  6.460184e+08 -5122048 -0.512  \n",
       "30921    NaN  6.460184e+08 -5122048 -0.512  \n",
       "36973    NaN  6.460184e+08 -5122048 -0.512  \n",
       "32485    NaN  6.460184e+08 -5122048 -0.512  \n",
       "26025    NaN  6.460184e+08 -5122048 -0.512  \n",
       "42005    NaN  6.460184e+08 -5122048 -0.512  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res_rate_tab.sort_values('TS', ascending=False).head(64)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2509 out of FoV result files\n",
      "Merged out of FoV results table has 341224 rows\n",
      "CPU times: user 23.4 s, sys: 1.36 s, total: 24.7 s\n",
      "Wall time: 26.8 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# getting out of FoV analysis results\n",
    "\n",
    "res_out_fnames = get_out_res_fnames(work_dir)\n",
    "print(\"%d out of FoV result files\"%(len(res_out_fnames)))\n",
    "\n",
    "res_out_tab = get_merged_csv_df_wpos(res_out_fnames, attfile, direc=work_dir, ignore_index=True)\n",
    "print(\"Merged out of FoV results table has %d rows\"%(len(res_out_tab)))\n",
    "res_out_tab['dt'] = res_out_tab['time'] - trigger_time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1052 in FoV peaks result files\n",
      "Merged in FoV peaks results table has 1282878 rows\n",
      "CPU times: user 13.7 s, sys: 848 ms, total: 14.6 s\n",
      "Wall time: 15.6 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# getting in FoV analysis results\n",
    "\n",
    "res_peak_fnames = get_peak_res_fnames(work_dir)\n",
    "print(\"%d in FoV peaks result files\"%(len(res_peak_fnames)))\n",
    "# read files and merge in single dataframe, also convert detector coords into RA, Dec\n",
    "res_peak_tab = get_merged_csv_df_wpos(res_peak_fnames, attfile, direc=work_dir, ignore_index=True)\n",
    "print(\"Merged in FoV peaks results table has %d rows\"%(len(res_peak_tab)))\n",
    "res_peak_tab['dt'] = res_peak_tab['time'] - trigger_time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2664\n"
     ]
    }
   ],
   "source": [
    "# getting the max TS for each square/time seed combo\n",
    "idx = res_peak_tab.groupby(['squareID','timeID'])['TS'].transform(max) == res_peak_tab['TS']\n",
    "res_peak_maxSq_tab = res_peak_tab[idx]\n",
    "print(len(res_peak_maxSq_tab))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# initing flux model to calculate flux/fluences\n",
    "flux_params = {'A':1.0, 'gamma':0.5, 'Epeak':1e2}\n",
    "flux_mod = Cutoff_Plaw_Flux(E0=100.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 3.3 s, sys: 5.11 ms, total: 3.31 s\n",
      "Wall time: 3.31 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/storage/work/j/jjd330/conda/my-envs/myenv/lib/python2.7/site-packages/ipykernel_launcher.py:12: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  if sys.path[0] == '':\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# calculating fluence for each row based on the best fit spectral parameters \n",
    "fluncs = np.zeros(len(res_peak_maxSq_tab))\n",
    "flux_pars = {'A':1.0, 'Epeak':1e2, 'gamma':0.5}\n",
    "i = 0\n",
    "for ind, row in res_peak_maxSq_tab.iterrows():\n",
    "    flux_pars['A'] = row['A']\n",
    "    flux_pars['gamma'] = row['gamma']\n",
    "    flux_pars['Epeak'] = row['Epeak']\n",
    "    fluncs[i] = get_eflux_from_model(flux_mod, flux_pars, 1e1, 1e3)*row['dur'] # fluence from 10keV to 1MeV\n",
    "    i+=1\n",
    "#     res_peak_maxSq_tab.loc[ind]['fluence'] = get_eflux_from_model(flux_mod, flux_pars, 1e1, 1e3)*row['dur']\n",
    "res_peak_maxSq_tab['fluence'] = fluncs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "18.88998837595465\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Unnamed: 0    1.430000e+02\n",
       "A             5.439460e-03\n",
       "Epeak         9.189738e+02\n",
       "TS            1.888999e+01\n",
       "bkg_nllh      4.603944e+04\n",
       "dur           2.048000e+00\n",
       "gamma         2.000000e-01\n",
       "imx          -5.890000e-01\n",
       "imy          -5.350000e-01\n",
       "nllh          4.586102e+04\n",
       "phi           1.377505e+02\n",
       "theta         3.850943e+01\n",
       "time          6.460184e+08\n",
       "timeID       -5.122048e+06\n",
       "squareID      1.761000e+03\n",
       "ra            2.331463e+02\n",
       "dec          -2.614926e+01\n",
       "dt           -5.119998e-01\n",
       "fluence       2.006761e-06\n",
       "Name: 16019, dtype: float64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# max TS peak result\n",
    "print np.max(res_peak_maxSq_tab['TS'])\n",
    "idx = res_peak_maxSq_tab['TS'].idxmax()\n",
    "row = res_peak_maxSq_tab.loc[idx]\n",
    "max_TS_timeID = row['timeID']\n",
    "row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .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>Unnamed: 0</th>\n",
       "      <th>A</th>\n",
       "      <th>Epeak</th>\n",
       "      <th>TS</th>\n",
       "      <th>bkg_nllh</th>\n",
       "      <th>dur</th>\n",
       "      <th>gamma</th>\n",
       "      <th>imx</th>\n",
       "      <th>imy</th>\n",
       "      <th>nllh</th>\n",
       "      <th>phi</th>\n",
       "      <th>theta</th>\n",
       "      <th>time</th>\n",
       "      <th>timeID</th>\n",
       "      <th>squareID</th>\n",
       "      <th>ra</th>\n",
       "      <th>dec</th>\n",
       "      <th>dt</th>\n",
       "      <th>fluence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16019</th>\n",
       "      <td>143</td>\n",
       "      <td>0.005439</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>18.889988</td>\n",
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       "      <td>2.048</td>\n",
       "      <td>2.000000e-01</td>\n",
       "      <td>-0.589</td>\n",
       "      <td>-0.535</td>\n",
       "      <td>45861.024519</td>\n",
       "      <td>137.750529</td>\n",
       "      <td>38.509432</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1761</td>\n",
       "      <td>233.146251</td>\n",
       "      <td>-26.149265</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441214</th>\n",
       "      <td>88</td>\n",
       "      <td>0.003991</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>18.166359</td>\n",
       "      <td>46039.440348</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-1.000000e-01</td>\n",
       "      <td>0.285</td>\n",
       "      <td>-0.372</td>\n",
       "      <td>45874.432043</td>\n",
       "      <td>52.543226</td>\n",
       "      <td>25.108943</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2865</td>\n",
       "      <td>282.469719</td>\n",
       "      <td>-41.065866</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405809</th>\n",
       "      <td>161</td>\n",
       "      <td>0.004440</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>18.099210</td>\n",
       "      <td>46039.440348</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>0.265</td>\n",
       "      <td>-0.483</td>\n",
       "      <td>45875.649640</td>\n",
       "      <td>61.248438</td>\n",
       "      <td>28.851294</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2812</td>\n",
       "      <td>278.561099</td>\n",
       "      <td>-45.698056</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>407681</th>\n",
       "      <td>89</td>\n",
       "      <td>0.004446</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>18.095792</td>\n",
       "      <td>46039.440349</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>0.265</td>\n",
       "      <td>-0.483</td>\n",
       "      <td>45875.711503</td>\n",
       "      <td>61.248438</td>\n",
       "      <td>28.851294</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2813</td>\n",
       "      <td>278.561099</td>\n",
       "      <td>-45.698056</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11618</th>\n",
       "      <td>116</td>\n",
       "      <td>0.004758</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>18.092233</td>\n",
       "      <td>46039.440350</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>-0.603</td>\n",
       "      <td>-0.491</td>\n",
       "      <td>45875.775909</td>\n",
       "      <td>140.845382</td>\n",
       "      <td>37.869285</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1712</td>\n",
       "      <td>233.702487</td>\n",
       "      <td>-24.195588</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5804</th>\n",
       "      <td>134</td>\n",
       "      <td>0.005309</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>18.080242</td>\n",
       "      <td>46039.440350</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.000000e-01</td>\n",
       "      <td>-0.667</td>\n",
       "      <td>-0.559</td>\n",
       "      <td>45875.992777</td>\n",
       "      <td>140.034268</td>\n",
       "      <td>41.032075</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1661</td>\n",
       "      <td>230.254666</td>\n",
       "      <td>-24.851080</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4994</th>\n",
       "      <td>296</td>\n",
       "      <td>0.005313</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>18.078437</td>\n",
       "      <td>46039.440351</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.000000e-01</td>\n",
       "      <td>-0.667</td>\n",
       "      <td>-0.559</td>\n",
       "      <td>45876.025403</td>\n",
       "      <td>140.034268</td>\n",
       "      <td>41.032075</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1660</td>\n",
       "      <td>230.254666</td>\n",
       "      <td>-24.851080</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293029</th>\n",
       "      <td>133</td>\n",
       "      <td>0.004331</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>18.015078</td>\n",
       "      <td>46039.440349</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-1.000000e-01</td>\n",
       "      <td>0.075</td>\n",
       "      <td>-0.493</td>\n",
       "      <td>45877.168832</td>\n",
       "      <td>81.349928</td>\n",
       "      <td>26.504159</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2562</td>\n",
       "      <td>265.791234</td>\n",
       "      <td>-42.798293</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10670</th>\n",
       "      <td>140</td>\n",
       "      <td>0.005651</td>\n",
       "      <td>729.966834</td>\n",
       "      <td>17.972488</td>\n",
       "      <td>46039.440350</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>-0.633</td>\n",
       "      <td>-0.537</td>\n",
       "      <td>45877.935185</td>\n",
       "      <td>139.690684</td>\n",
       "      <td>39.695902</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1711</td>\n",
       "      <td>231.737724</td>\n",
       "      <td>-25.013145</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384568</th>\n",
       "      <td>142</td>\n",
       "      <td>0.004057</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.972456</td>\n",
       "      <td>46039.440348</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-1.000000e-01</td>\n",
       "      <td>0.231</td>\n",
       "      <td>-0.401</td>\n",
       "      <td>45877.935760</td>\n",
       "      <td>60.055483</td>\n",
       "      <td>24.833586</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2765</td>\n",
       "      <td>278.302542</td>\n",
       "      <td>-41.648896</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382615</th>\n",
       "      <td>133</td>\n",
       "      <td>0.004065</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.971801</td>\n",
       "      <td>46039.440348</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-1.000000e-01</td>\n",
       "      <td>0.231</td>\n",
       "      <td>-0.401</td>\n",
       "      <td>45877.947537</td>\n",
       "      <td>60.055483</td>\n",
       "      <td>24.833586</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2764</td>\n",
       "      <td>278.302542</td>\n",
       "      <td>-41.648896</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>701594</th>\n",
       "      <td>134</td>\n",
       "      <td>0.003869</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.959096</td>\n",
       "      <td>46039.440347</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>0.565</td>\n",
       "      <td>-0.143</td>\n",
       "      <td>45878.175787</td>\n",
       "      <td>14.203147</td>\n",
       "      <td>30.234299</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>3221</td>\n",
       "      <td>302.550024</td>\n",
       "      <td>-32.411296</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18584</th>\n",
       "      <td>116</td>\n",
       "      <td>0.004599</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.958508</td>\n",
       "      <td>46039.440349</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>-0.585</td>\n",
       "      <td>-0.437</td>\n",
       "      <td>45878.186347</td>\n",
       "      <td>143.239954</td>\n",
       "      <td>36.136969</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1764</td>\n",
       "      <td>235.524173</td>\n",
       "      <td>-22.684419</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17648</th>\n",
       "      <td>152</td>\n",
       "      <td>0.004554</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.935166</td>\n",
       "      <td>46039.440350</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>-0.584</td>\n",
       "      <td>-0.438</td>\n",
       "      <td>45878.605265</td>\n",
       "      <td>143.130102</td>\n",
       "      <td>36.129444</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1763</td>\n",
       "      <td>235.534538</td>\n",
       "      <td>-22.748926</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267118</th>\n",
       "      <td>142</td>\n",
       "      <td>0.004412</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.926615</td>\n",
       "      <td>46039.440349</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-1.000000e-01</td>\n",
       "      <td>0.029</td>\n",
       "      <td>-0.537</td>\n",
       "      <td>45878.758590</td>\n",
       "      <td>86.908817</td>\n",
       "      <td>28.270585</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2511</td>\n",
       "      <td>261.654697</td>\n",
       "      <td>-43.539289</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25109</th>\n",
       "      <td>485</td>\n",
       "      <td>0.004585</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.923744</td>\n",
       "      <td>46039.440349</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>-0.519</td>\n",
       "      <td>-0.437</td>\n",
       "      <td>45878.810055</td>\n",
       "      <td>139.902492</td>\n",
       "      <td>34.155960</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1814</td>\n",
       "      <td>237.811479</td>\n",
       "      <td>-24.478460</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31058</th>\n",
       "      <td>116</td>\n",
       "      <td>0.004589</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.923209</td>\n",
       "      <td>46039.440349</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>-0.519</td>\n",
       "      <td>-0.437</td>\n",
       "      <td>45878.819634</td>\n",
       "      <td>139.902492</td>\n",
       "      <td>34.155960</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1864</td>\n",
       "      <td>237.811479</td>\n",
       "      <td>-24.478460</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8728</th>\n",
       "      <td>142</td>\n",
       "      <td>0.005568</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.905166</td>\n",
       "      <td>46039.440351</td>\n",
       "      <td>2.048</td>\n",
       "      <td>3.000000e-01</td>\n",
       "      <td>-0.615</td>\n",
       "      <td>-0.602</td>\n",
       "      <td>45879.142871</td>\n",
       "      <td>135.612011</td>\n",
       "      <td>40.715223</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1709</td>\n",
       "      <td>230.828678</td>\n",
       "      <td>-27.715997</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2078</th>\n",
       "      <td>134</td>\n",
       "      <td>0.005268</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.889136</td>\n",
       "      <td>46039.440351</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.000000e-01</td>\n",
       "      <td>-0.705</td>\n",
       "      <td>-0.555</td>\n",
       "      <td>45879.429749</td>\n",
       "      <td>141.788975</td>\n",
       "      <td>41.899908</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1611</td>\n",
       "      <td>229.274462</td>\n",
       "      <td>-23.708838</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9647</th>\n",
       "      <td>89</td>\n",
       "      <td>0.005360</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.885479</td>\n",
       "      <td>46039.440351</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.000000e-01</td>\n",
       "      <td>-0.617</td>\n",
       "      <td>-0.592</td>\n",
       "      <td>45879.495165</td>\n",
       "      <td>136.184607</td>\n",
       "      <td>40.532920</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1710</td>\n",
       "      <td>230.992543</td>\n",
       "      <td>-27.327275</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38365</th>\n",
       "      <td>133</td>\n",
       "      <td>0.004404</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.876074</td>\n",
       "      <td>46039.440350</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-1.000000e-01</td>\n",
       "      <td>-0.459</td>\n",
       "      <td>-0.453</td>\n",
       "      <td>45879.663347</td>\n",
       "      <td>135.376940</td>\n",
       "      <td>32.817781</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1913</td>\n",
       "      <td>239.651597</td>\n",
       "      <td>-26.773896</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317635</th>\n",
       "      <td>115</td>\n",
       "      <td>0.004101</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.869040</td>\n",
       "      <td>46039.440348</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-1.000000e-01</td>\n",
       "      <td>0.103</td>\n",
       "      <td>-0.434</td>\n",
       "      <td>45879.789055</td>\n",
       "      <td>76.649155</td>\n",
       "      <td>24.039496</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2614</td>\n",
       "      <td>269.189730</td>\n",
       "      <td>-40.879153</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437380</th>\n",
       "      <td>142</td>\n",
       "      <td>0.004167</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.867031</td>\n",
       "      <td>46039.440348</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-1.000000e-01</td>\n",
       "      <td>0.297</td>\n",
       "      <td>-0.443</td>\n",
       "      <td>45879.824947</td>\n",
       "      <td>56.160958</td>\n",
       "      <td>28.073054</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2863</td>\n",
       "      <td>281.650892</td>\n",
       "      <td>-44.388299</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21797</th>\n",
       "      <td>89</td>\n",
       "      <td>0.004829</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.857990</td>\n",
       "      <td>46039.440350</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>-0.525</td>\n",
       "      <td>-0.537</td>\n",
       "      <td>45879.986451</td>\n",
       "      <td>134.352618</td>\n",
       "      <td>36.906379</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1811</td>\n",
       "      <td>235.215452</td>\n",
       "      <td>-28.018254</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16649</th>\n",
       "      <td>125</td>\n",
       "      <td>0.004697</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.857200</td>\n",
       "      <td>46039.440350</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>-0.600</td>\n",
       "      <td>-0.505</td>\n",
       "      <td>45880.000560</td>\n",
       "      <td>139.913799</td>\n",
       "      <td>38.104795</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1762</td>\n",
       "      <td>233.480027</td>\n",
       "      <td>-24.781447</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>749213</th>\n",
       "      <td>125</td>\n",
       "      <td>0.005340</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.856131</td>\n",
       "      <td>46039.440351</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.000000e-01</td>\n",
       "      <td>0.642</td>\n",
       "      <td>-0.647</td>\n",
       "      <td>45880.019648</td>\n",
       "      <td>45.222248</td>\n",
       "      <td>42.348155</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>3308</td>\n",
       "      <td>300.483774</td>\n",
       "      <td>-54.046874</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285578</th>\n",
       "      <td>134</td>\n",
       "      <td>0.004867</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.855134</td>\n",
       "      <td>46039.440350</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>0.049</td>\n",
       "      <td>-0.641</td>\n",
       "      <td>45880.037442</td>\n",
       "      <td>85.628637</td>\n",
       "      <td>32.735753</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2558</td>\n",
       "      <td>259.817107</td>\n",
       "      <td>-47.865283</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>672594</th>\n",
       "      <td>132</td>\n",
       "      <td>0.003485</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.845672</td>\n",
       "      <td>46039.440346</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.000000e-01</td>\n",
       "      <td>0.545</td>\n",
       "      <td>0.089</td>\n",
       "      <td>45880.206337</td>\n",
       "      <td>350.725308</td>\n",
       "      <td>28.908321</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>3177</td>\n",
       "      <td>303.976180</td>\n",
       "      <td>-20.882759</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294955</th>\n",
       "      <td>115</td>\n",
       "      <td>0.004203</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.844335</td>\n",
       "      <td>46039.440349</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-1.000000e-01</td>\n",
       "      <td>0.045</td>\n",
       "      <td>-0.447</td>\n",
       "      <td>45880.230197</td>\n",
       "      <td>84.251337</td>\n",
       "      <td>24.192448</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2563</td>\n",
       "      <td>265.194294</td>\n",
       "      <td>-40.212961</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157922</th>\n",
       "      <td>134</td>\n",
       "      <td>0.004681</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.835892</td>\n",
       "      <td>46039.440350</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>-0.179</td>\n",
       "      <td>-0.603</td>\n",
       "      <td>45880.380820</td>\n",
       "      <td>106.533473</td>\n",
       "      <td>32.170187</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2259</td>\n",
       "      <td>247.994997</td>\n",
       "      <td>-40.529402</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7055</th>\n",
       "      <td>413</td>\n",
       "      <td>0.004711</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.834526</td>\n",
       "      <td>46039.440350</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>-0.643</td>\n",
       "      <td>-0.501</td>\n",
       "      <td>45880.405186</td>\n",
       "      <td>142.075698</td>\n",
       "      <td>39.184786</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1662</td>\n",
       "      <td>232.233721</td>\n",
       "      <td>-23.479490</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409697</th>\n",
       "      <td>161</td>\n",
       "      <td>0.004240</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.830927</td>\n",
       "      <td>46039.440348</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>0.275</td>\n",
       "      <td>-0.435</td>\n",
       "      <td>45880.469364</td>\n",
       "      <td>57.699584</td>\n",
       "      <td>27.231972</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2814</td>\n",
       "      <td>280.382054</td>\n",
       "      <td>-43.766717</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269036</th>\n",
       "      <td>116</td>\n",
       "      <td>0.004494</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.830509</td>\n",
       "      <td>46039.440349</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>0.011</td>\n",
       "      <td>-0.505</td>\n",
       "      <td>45880.476824</td>\n",
       "      <td>88.752170</td>\n",
       "      <td>26.799244</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2512</td>\n",
       "      <td>261.473321</td>\n",
       "      <td>-41.844376</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>821960</th>\n",
       "      <td>134</td>\n",
       "      <td>0.004982</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.828190</td>\n",
       "      <td>46039.440350</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.000000e-01</td>\n",
       "      <td>0.731</td>\n",
       "      <td>-0.529</td>\n",
       "      <td>45880.518179</td>\n",
       "      <td>35.891989</td>\n",
       "      <td>42.060929</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>3411</td>\n",
       "      <td>307.175554</td>\n",
       "      <td>-49.337118</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>575881</th>\n",
       "      <td>133</td>\n",
       "      <td>0.004398</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.827079</td>\n",
       "      <td>46039.440350</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-1.000000e-01</td>\n",
       "      <td>0.449</td>\n",
       "      <td>-0.467</td>\n",
       "      <td>45880.537975</td>\n",
       "      <td>46.125755</td>\n",
       "      <td>32.936573</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>3063</td>\n",
       "      <td>291.125494</td>\n",
       "      <td>-46.726858</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>439314</th>\n",
       "      <td>132</td>\n",
       "      <td>0.003887</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.820989</td>\n",
       "      <td>46039.440348</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.000000e-01</td>\n",
       "      <td>0.283</td>\n",
       "      <td>-0.399</td>\n",
       "      <td>45880.646525</td>\n",
       "      <td>54.652944</td>\n",
       "      <td>26.066621</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2864</td>\n",
       "      <td>281.736512</td>\n",
       "      <td>-42.268812</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12797</th>\n",
       "      <td>323</td>\n",
       "      <td>0.004635</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.816279</td>\n",
       "      <td>46039.440350</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>-0.619</td>\n",
       "      <td>-0.476</td>\n",
       "      <td>45880.730450</td>\n",
       "      <td>142.440356</td>\n",
       "      <td>37.984732</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1713</td>\n",
       "      <td>233.533869</td>\n",
       "      <td>-23.220620</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202939</th>\n",
       "      <td>115</td>\n",
       "      <td>0.004379</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.814111</td>\n",
       "      <td>46039.440349</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-1.000000e-01</td>\n",
       "      <td>-0.103</td>\n",
       "      <td>-0.557</td>\n",
       "      <td>45880.769077</td>\n",
       "      <td>100.476742</td>\n",
       "      <td>29.529094</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2361</td>\n",
       "      <td>253.342345</td>\n",
       "      <td>-40.969232</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147732</th>\n",
       "      <td>150</td>\n",
       "      <td>0.003932</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.811075</td>\n",
       "      <td>46039.440348</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.000000e-01</td>\n",
       "      <td>-0.216</td>\n",
       "      <td>-0.401</td>\n",
       "      <td>45880.823151</td>\n",
       "      <td>118.309276</td>\n",
       "      <td>24.488054</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2215</td>\n",
       "      <td>251.769158</td>\n",
       "      <td>-31.564728</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146886</th>\n",
       "      <td>114</td>\n",
       "      <td>0.003969</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.810455</td>\n",
       "      <td>46039.440348</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.000000e-01</td>\n",
       "      <td>-0.217</td>\n",
       "      <td>-0.401</td>\n",
       "      <td>45880.834188</td>\n",
       "      <td>118.419909</td>\n",
       "      <td>24.510593</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2214</td>\n",
       "      <td>251.718827</td>\n",
       "      <td>-31.536922</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>758159</th>\n",
       "      <td>161</td>\n",
       "      <td>0.004530</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.807735</td>\n",
       "      <td>46039.440349</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>0.675</td>\n",
       "      <td>-0.449</td>\n",
       "      <td>45880.882632</td>\n",
       "      <td>33.631262</td>\n",
       "      <td>39.031501</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>3313</td>\n",
       "      <td>304.960855</td>\n",
       "      <td>-46.316169</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29807</th>\n",
       "      <td>323</td>\n",
       "      <td>0.004691</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.805456</td>\n",
       "      <td>46039.440350</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>-0.493</td>\n",
       "      <td>-0.497</td>\n",
       "      <td>45880.923216</td>\n",
       "      <td>134.768503</td>\n",
       "      <td>34.993613</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1862</td>\n",
       "      <td>237.305995</td>\n",
       "      <td>-27.474866</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>725759</th>\n",
       "      <td>161</td>\n",
       "      <td>0.004479</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.803313</td>\n",
       "      <td>46039.440349</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>0.627</td>\n",
       "      <td>-0.441</td>\n",
       "      <td>45880.961371</td>\n",
       "      <td>35.120609</td>\n",
       "      <td>37.472231</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>3264</td>\n",
       "      <td>302.375365</td>\n",
       "      <td>-46.039512</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>724922</th>\n",
       "      <td>134</td>\n",
       "      <td>0.004487</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.801161</td>\n",
       "      <td>46039.440349</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>0.627</td>\n",
       "      <td>-0.441</td>\n",
       "      <td>45880.999690</td>\n",
       "      <td>35.120609</td>\n",
       "      <td>37.472231</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>3263</td>\n",
       "      <td>302.375365</td>\n",
       "      <td>-46.039512</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394100</th>\n",
       "      <td>116</td>\n",
       "      <td>0.005637</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.793374</td>\n",
       "      <td>46039.440351</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.000000e-01</td>\n",
       "      <td>0.267</td>\n",
       "      <td>-0.745</td>\n",
       "      <td>45881.138279</td>\n",
       "      <td>70.282866</td>\n",
       "      <td>38.358093</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2806</td>\n",
       "      <td>271.575231</td>\n",
       "      <td>-55.470328</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20870</th>\n",
       "      <td>134</td>\n",
       "      <td>0.005308</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.792415</td>\n",
       "      <td>46039.440350</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.000000e-01</td>\n",
       "      <td>-0.539</td>\n",
       "      <td>-0.579</td>\n",
       "      <td>45881.155330</td>\n",
       "      <td>132.950936</td>\n",
       "      <td>38.345801</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1810</td>\n",
       "      <td>233.748930</td>\n",
       "      <td>-29.088177</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287198</th>\n",
       "      <td>134</td>\n",
       "      <td>0.004839</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.789598</td>\n",
       "      <td>46039.440350</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>0.049</td>\n",
       "      <td>-0.639</td>\n",
       "      <td>45881.205448</td>\n",
       "      <td>85.615008</td>\n",
       "      <td>32.654834</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2559</td>\n",
       "      <td>259.877782</td>\n",
       "      <td>-47.794978</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37384</th>\n",
       "      <td>124</td>\n",
       "      <td>0.004382</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.788563</td>\n",
       "      <td>46039.440350</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-1.000000e-01</td>\n",
       "      <td>-0.452</td>\n",
       "      <td>-0.487</td>\n",
       "      <td>45881.223866</td>\n",
       "      <td>132.865363</td>\n",
       "      <td>33.601428</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1912</td>\n",
       "      <td>239.077146</td>\n",
       "      <td>-28.272706</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1133</th>\n",
       "      <td>161</td>\n",
       "      <td>0.005344</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.787540</td>\n",
       "      <td>46039.440351</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.000000e-01</td>\n",
       "      <td>-0.689</td>\n",
       "      <td>-0.599</td>\n",
       "      <td>45881.242066</td>\n",
       "      <td>138.997090</td>\n",
       "      <td>42.395275</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1610</td>\n",
       "      <td>228.778445</td>\n",
       "      <td>-25.593409</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>134</td>\n",
       "      <td>0.005346</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.786854</td>\n",
       "      <td>46039.440351</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.000000e-01</td>\n",
       "      <td>-0.689</td>\n",
       "      <td>-0.599</td>\n",
       "      <td>45881.254261</td>\n",
       "      <td>138.997090</td>\n",
       "      <td>42.395275</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1609</td>\n",
       "      <td>228.778445</td>\n",
       "      <td>-25.593409</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3023</th>\n",
       "      <td>269</td>\n",
       "      <td>0.004727</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.783279</td>\n",
       "      <td>46039.440351</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>-0.679</td>\n",
       "      <td>-0.511</td>\n",
       "      <td>45881.317852</td>\n",
       "      <td>143.035711</td>\n",
       "      <td>40.357922</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1612</td>\n",
       "      <td>230.948769</td>\n",
       "      <td>-22.881078</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>962090</th>\n",
       "      <td>134</td>\n",
       "      <td>0.004247</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.782665</td>\n",
       "      <td>46039.440349</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>0.895</td>\n",
       "      <td>-0.087</td>\n",
       "      <td>45881.328755</td>\n",
       "      <td>5.552090</td>\n",
       "      <td>41.962466</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>3622</td>\n",
       "      <td>317.404851</td>\n",
       "      <td>-30.699105</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>736567</th>\n",
       "      <td>115</td>\n",
       "      <td>0.003718</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.777880</td>\n",
       "      <td>46039.440347</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-1.000000e-01</td>\n",
       "      <td>0.617</td>\n",
       "      <td>-0.045</td>\n",
       "      <td>45881.413831</td>\n",
       "      <td>4.171399</td>\n",
       "      <td>31.742544</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>3273</td>\n",
       "      <td>306.060304</td>\n",
       "      <td>-27.973737</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241811</th>\n",
       "      <td>107</td>\n",
       "      <td>0.004624</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.770879</td>\n",
       "      <td>46039.440349</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>-0.007</td>\n",
       "      <td>-0.583</td>\n",
       "      <td>45881.538271</td>\n",
       "      <td>90.687909</td>\n",
       "      <td>30.243982</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2460</td>\n",
       "      <td>258.110086</td>\n",
       "      <td>-44.432664</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140084</th>\n",
       "      <td>116</td>\n",
       "      <td>0.004582</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.770488</td>\n",
       "      <td>46039.440350</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>-0.223</td>\n",
       "      <td>-0.561</td>\n",
       "      <td>45881.545220</td>\n",
       "      <td>111.678041</td>\n",
       "      <td>31.119252</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2210</td>\n",
       "      <td>247.006954</td>\n",
       "      <td>-37.737053</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142055</th>\n",
       "      <td>143</td>\n",
       "      <td>0.004586</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.768335</td>\n",
       "      <td>46039.440349</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>-0.223</td>\n",
       "      <td>-0.561</td>\n",
       "      <td>45881.583479</td>\n",
       "      <td>111.678041</td>\n",
       "      <td>31.119252</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2211</td>\n",
       "      <td>247.006954</td>\n",
       "      <td>-37.737053</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185595</th>\n",
       "      <td>105</td>\n",
       "      <td>0.003988</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.768019</td>\n",
       "      <td>46039.440349</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.000000e-01</td>\n",
       "      <td>-0.147</td>\n",
       "      <td>-0.448</td>\n",
       "      <td>45881.589105</td>\n",
       "      <td>108.165957</td>\n",
       "      <td>25.243915</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2313</td>\n",
       "      <td>254.056177</td>\n",
       "      <td>-35.448979</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378746</th>\n",
       "      <td>152</td>\n",
       "      <td>0.004411</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.767719</td>\n",
       "      <td>46039.440349</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>0.238</td>\n",
       "      <td>-0.503</td>\n",
       "      <td>45881.594425</td>\n",
       "      <td>64.678312</td>\n",
       "      <td>29.094395</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2762</td>\n",
       "      <td>276.238833</td>\n",
       "      <td>-46.156033</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>789551</th>\n",
       "      <td>125</td>\n",
       "      <td>0.004594</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.766194</td>\n",
       "      <td>46039.440350</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>0.702</td>\n",
       "      <td>-0.493</td>\n",
       "      <td>45881.621530</td>\n",
       "      <td>35.079570</td>\n",
       "      <td>40.623611</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>3362</td>\n",
       "      <td>305.963748</td>\n",
       "      <td>-48.027985</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228228</th>\n",
       "      <td>132</td>\n",
       "      <td>0.003929</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.763857</td>\n",
       "      <td>46039.440348</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.000000e-01</td>\n",
       "      <td>-0.067</td>\n",
       "      <td>-0.407</td>\n",
       "      <td>45881.663042</td>\n",
       "      <td>99.348142</td>\n",
       "      <td>22.415064</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2414</td>\n",
       "      <td>259.627620</td>\n",
       "      <td>-35.808247</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542995</th>\n",
       "      <td>133</td>\n",
       "      <td>0.003995</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.760535</td>\n",
       "      <td>46039.440349</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-1.000000e-01</td>\n",
       "      <td>0.431</td>\n",
       "      <td>-0.319</td>\n",
       "      <td>45881.722038</td>\n",
       "      <td>36.506595</td>\n",
       "      <td>28.200689</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>3016</td>\n",
       "      <td>292.651603</td>\n",
       "      <td>-40.021435</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243764</th>\n",
       "      <td>116</td>\n",
       "      <td>0.004529</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.758406</td>\n",
       "      <td>46039.440349</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.775558e-17</td>\n",
       "      <td>-0.009</td>\n",
       "      <td>-0.545</td>\n",
       "      <td>45881.759854</td>\n",
       "      <td>90.946083</td>\n",
       "      <td>28.593666</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2461</td>\n",
       "      <td>259.107668</td>\n",
       "      <td>-42.942913</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>544939</th>\n",
       "      <td>133</td>\n",
       "      <td>0.003997</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.757836</td>\n",
       "      <td>46039.440348</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-1.000000e-01</td>\n",
       "      <td>0.431</td>\n",
       "      <td>-0.319</td>\n",
       "      <td>45881.769983</td>\n",
       "      <td>36.506595</td>\n",
       "      <td>28.200689</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>3017</td>\n",
       "      <td>292.651603</td>\n",
       "      <td>-40.021435</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>481281</th>\n",
       "      <td>141</td>\n",
       "      <td>0.003465</td>\n",
       "      <td>918.973797</td>\n",
       "      <td>17.755298</td>\n",
       "      <td>46039.440347</td>\n",
       "      <td>2.048</td>\n",
       "      <td>-2.000000e-01</td>\n",
       "      <td>0.343</td>\n",
       "      <td>-0.178</td>\n",
       "      <td>45881.815034</td>\n",
       "      <td>27.427075</td>\n",
       "      <td>21.128341</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2920</td>\n",
       "      <td>289.863235</td>\n",
       "      <td>-32.338575</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Unnamed: 0         A       Epeak         TS      bkg_nllh    dur  \\\n",
       "16019          143  0.005439  918.973797  18.889988  46039.440350  2.048   \n",
       "441214          88  0.003991  918.973797  18.166359  46039.440348  2.048   \n",
       "405809         161  0.004440  918.973797  18.099210  46039.440348  2.048   \n",
       "407681          89  0.004446  918.973797  18.095792  46039.440349  2.048   \n",
       "11618          116  0.004758  918.973797  18.092233  46039.440350  2.048   \n",
       "5804           134  0.005309  918.973797  18.080242  46039.440350  2.048   \n",
       "4994           296  0.005313  918.973797  18.078437  46039.440351  2.048   \n",
       "293029         133  0.004331  918.973797  18.015078  46039.440349  2.048   \n",
       "10670          140  0.005651  729.966834  17.972488  46039.440350  2.048   \n",
       "384568         142  0.004057  918.973797  17.972456  46039.440348  2.048   \n",
       "382615         133  0.004065  918.973797  17.971801  46039.440348  2.048   \n",
       "701594         134  0.003869  918.973797  17.959096  46039.440347  2.048   \n",
       "18584          116  0.004599  918.973797  17.958508  46039.440349  2.048   \n",
       "17648          152  0.004554  918.973797  17.935166  46039.440350  2.048   \n",
       "267118         142  0.004412  918.973797  17.926615  46039.440349  2.048   \n",
       "25109          485  0.004585  918.973797  17.923744  46039.440349  2.048   \n",
       "31058          116  0.004589  918.973797  17.923209  46039.440349  2.048   \n",
       "8728           142  0.005568  918.973797  17.905166  46039.440351  2.048   \n",
       "2078           134  0.005268  918.973797  17.889136  46039.440351  2.048   \n",
       "9647            89  0.005360  918.973797  17.885479  46039.440351  2.048   \n",
       "38365          133  0.004404  918.973797  17.876074  46039.440350  2.048   \n",
       "317635         115  0.004101  918.973797  17.869040  46039.440348  2.048   \n",
       "437380         142  0.004167  918.973797  17.867031  46039.440348  2.048   \n",
       "21797           89  0.004829  918.973797  17.857990  46039.440350  2.048   \n",
       "16649          125  0.004697  918.973797  17.857200  46039.440350  2.048   \n",
       "749213         125  0.005340  918.973797  17.856131  46039.440351  2.048   \n",
       "285578         134  0.004867  918.973797  17.855134  46039.440350  2.048   \n",
       "672594         132  0.003485  918.973797  17.845672  46039.440346  2.048   \n",
       "294955         115  0.004203  918.973797  17.844335  46039.440349  2.048   \n",
       "157922         134  0.004681  918.973797  17.835892  46039.440350  2.048   \n",
       "7055           413  0.004711  918.973797  17.834526  46039.440350  2.048   \n",
       "409697         161  0.004240  918.973797  17.830927  46039.440348  2.048   \n",
       "269036         116  0.004494  918.973797  17.830509  46039.440349  2.048   \n",
       "821960         134  0.004982  918.973797  17.828190  46039.440350  2.048   \n",
       "575881         133  0.004398  918.973797  17.827079  46039.440350  2.048   \n",
       "439314         132  0.003887  918.973797  17.820989  46039.440348  2.048   \n",
       "12797          323  0.004635  918.973797  17.816279  46039.440350  2.048   \n",
       "202939         115  0.004379  918.973797  17.814111  46039.440349  2.048   \n",
       "147732         150  0.003932  918.973797  17.811075  46039.440348  2.048   \n",
       "146886         114  0.003969  918.973797  17.810455  46039.440348  2.048   \n",
       "758159         161  0.004530  918.973797  17.807735  46039.440349  2.048   \n",
       "29807          323  0.004691  918.973797  17.805456  46039.440350  2.048   \n",
       "725759         161  0.004479  918.973797  17.803313  46039.440349  2.048   \n",
       "724922         134  0.004487  918.973797  17.801161  46039.440349  2.048   \n",
       "394100         116  0.005637  918.973797  17.793374  46039.440351  2.048   \n",
       "20870          134  0.005308  918.973797  17.792415  46039.440350  2.048   \n",
       "287198         134  0.004839  918.973797  17.789598  46039.440350  2.048   \n",
       "37384          124  0.004382  918.973797  17.788563  46039.440350  2.048   \n",
       "1133           161  0.005344  918.973797  17.787540  46039.440351  2.048   \n",
       "134            134  0.005346  918.973797  17.786854  46039.440351  2.048   \n",
       "3023           269  0.004727  918.973797  17.783279  46039.440351  2.048   \n",
       "962090         134  0.004247  918.973797  17.782665  46039.440349  2.048   \n",
       "736567         115  0.003718  918.973797  17.777880  46039.440347  2.048   \n",
       "241811         107  0.004624  918.973797  17.770879  46039.440349  2.048   \n",
       "140084         116  0.004582  918.973797  17.770488  46039.440350  2.048   \n",
       "142055         143  0.004586  918.973797  17.768335  46039.440349  2.048   \n",
       "185595         105  0.003988  918.973797  17.768019  46039.440349  2.048   \n",
       "378746         152  0.004411  918.973797  17.767719  46039.440349  2.048   \n",
       "789551         125  0.004594  918.973797  17.766194  46039.440350  2.048   \n",
       "228228         132  0.003929  918.973797  17.763857  46039.440348  2.048   \n",
       "542995         133  0.003995  918.973797  17.760535  46039.440349  2.048   \n",
       "243764         116  0.004529  918.973797  17.758406  46039.440349  2.048   \n",
       "544939         133  0.003997  918.973797  17.757836  46039.440348  2.048   \n",
       "481281         141  0.003465  918.973797  17.755298  46039.440347  2.048   \n",
       "\n",
       "               gamma    imx    imy          nllh         phi      theta  \\\n",
       "16019   2.000000e-01 -0.589 -0.535  45861.024519  137.750529  38.509432   \n",
       "441214 -1.000000e-01  0.285 -0.372  45874.432043   52.543226  25.108943   \n",
       "405809 -2.775558e-17  0.265 -0.483  45875.649640   61.248438  28.851294   \n",
       "407681 -2.775558e-17  0.265 -0.483  45875.711503   61.248438  28.851294   \n",
       "11618  -2.775558e-17 -0.603 -0.491  45875.775909  140.845382  37.869285   \n",
       "5804    2.000000e-01 -0.667 -0.559  45875.992777  140.034268  41.032075   \n",
       "4994    2.000000e-01 -0.667 -0.559  45876.025403  140.034268  41.032075   \n",
       "293029 -1.000000e-01  0.075 -0.493  45877.168832   81.349928  26.504159   \n",
       "10670  -2.775558e-17 -0.633 -0.537  45877.935185  139.690684  39.695902   \n",
       "384568 -1.000000e-01  0.231 -0.401  45877.935760   60.055483  24.833586   \n",
       "382615 -1.000000e-01  0.231 -0.401  45877.947537   60.055483  24.833586   \n",
       "701594 -2.775558e-17  0.565 -0.143  45878.175787   14.203147  30.234299   \n",
       "18584  -2.775558e-17 -0.585 -0.437  45878.186347  143.239954  36.136969   \n",
       "17648  -2.775558e-17 -0.584 -0.438  45878.605265  143.130102  36.129444   \n",
       "267118 -1.000000e-01  0.029 -0.537  45878.758590   86.908817  28.270585   \n",
       "25109  -2.775558e-17 -0.519 -0.437  45878.810055  139.902492  34.155960   \n",
       "31058  -2.775558e-17 -0.519 -0.437  45878.819634  139.902492  34.155960   \n",
       "8728    3.000000e-01 -0.615 -0.602  45879.142871  135.612011  40.715223   \n",
       "2078    2.000000e-01 -0.705 -0.555  45879.429749  141.788975  41.899908   \n",
       "9647    2.000000e-01 -0.617 -0.592  45879.495165  136.184607  40.532920   \n",
       "38365  -1.000000e-01 -0.459 -0.453  45879.663347  135.376940  32.817781   \n",
       "317635 -1.000000e-01  0.103 -0.434  45879.789055   76.649155  24.039496   \n",
       "437380 -1.000000e-01  0.297 -0.443  45879.824947   56.160958  28.073054   \n",
       "21797  -2.775558e-17 -0.525 -0.537  45879.986451  134.352618  36.906379   \n",
       "16649  -2.775558e-17 -0.600 -0.505  45880.000560  139.913799  38.104795   \n",
       "749213  2.000000e-01  0.642 -0.647  45880.019648   45.222248  42.348155   \n",
       "285578 -2.775558e-17  0.049 -0.641  45880.037442   85.628637  32.735753   \n",
       "672594 -2.000000e-01  0.545  0.089  45880.206337  350.725308  28.908321   \n",
       "294955 -1.000000e-01  0.045 -0.447  45880.230197   84.251337  24.192448   \n",
       "157922 -2.775558e-17 -0.179 -0.603  45880.380820  106.533473  32.170187   \n",
       "7055   -2.775558e-17 -0.643 -0.501  45880.405186  142.075698  39.184786   \n",
       "409697 -2.775558e-17  0.275 -0.435  45880.469364   57.699584  27.231972   \n",
       "269036 -2.775558e-17  0.011 -0.505  45880.476824   88.752170  26.799244   \n",
       "821960  2.000000e-01  0.731 -0.529  45880.518179   35.891989  42.060929   \n",
       "575881 -1.000000e-01  0.449 -0.467  45880.537975   46.125755  32.936573   \n",
       "439314 -2.000000e-01  0.283 -0.399  45880.646525   54.652944  26.066621   \n",
       "12797  -2.775558e-17 -0.619 -0.476  45880.730450  142.440356  37.984732   \n",
       "202939 -1.000000e-01 -0.103 -0.557  45880.769077  100.476742  29.529094   \n",
       "147732 -2.000000e-01 -0.216 -0.401  45880.823151  118.309276  24.488054   \n",
       "146886 -2.000000e-01 -0.217 -0.401  45880.834188  118.419909  24.510593   \n",
       "758159 -2.775558e-17  0.675 -0.449  45880.882632   33.631262  39.031501   \n",
       "29807  -2.775558e-17 -0.493 -0.497  45880.923216  134.768503  34.993613   \n",
       "725759 -2.775558e-17  0.627 -0.441  45880.961371   35.120609  37.472231   \n",
       "724922 -2.775558e-17  0.627 -0.441  45880.999690   35.120609  37.472231   \n",
       "394100  2.000000e-01  0.267 -0.745  45881.138279   70.282866  38.358093   \n",
       "20870   2.000000e-01 -0.539 -0.579  45881.155330  132.950936  38.345801   \n",
       "287198 -2.775558e-17  0.049 -0.639  45881.205448   85.615008  32.654834   \n",
       "37384  -1.000000e-01 -0.452 -0.487  45881.223866  132.865363  33.601428   \n",
       "1133    2.000000e-01 -0.689 -0.599  45881.242066  138.997090  42.395275   \n",
       "134     2.000000e-01 -0.689 -0.599  45881.254261  138.997090  42.395275   \n",
       "3023   -2.775558e-17 -0.679 -0.511  45881.317852  143.035711  40.357922   \n",
       "962090 -2.775558e-17  0.895 -0.087  45881.328755    5.552090  41.962466   \n",
       "736567 -1.000000e-01  0.617 -0.045  45881.413831    4.171399  31.742544   \n",
       "241811 -2.775558e-17 -0.007 -0.583  45881.538271   90.687909  30.243982   \n",
       "140084 -2.775558e-17 -0.223 -0.561  45881.545220  111.678041  31.119252   \n",
       "142055 -2.775558e-17 -0.223 -0.561  45881.583479  111.678041  31.119252   \n",
       "185595 -2.000000e-01 -0.147 -0.448  45881.589105  108.165957  25.243915   \n",
       "378746 -2.775558e-17  0.238 -0.503  45881.594425   64.678312  29.094395   \n",
       "789551 -2.775558e-17  0.702 -0.493  45881.621530   35.079570  40.623611   \n",
       "228228 -2.000000e-01 -0.067 -0.407  45881.663042   99.348142  22.415064   \n",
       "542995 -1.000000e-01  0.431 -0.319  45881.722038   36.506595  28.200689   \n",
       "243764 -2.775558e-17 -0.009 -0.545  45881.759854   90.946083  28.593666   \n",
       "544939 -1.000000e-01  0.431 -0.319  45881.769983   36.506595  28.200689   \n",
       "481281 -2.000000e-01  0.343 -0.178  45881.815034   27.427075  21.128341   \n",
       "\n",
       "                time   timeID  squareID          ra        dec     dt  \\\n",
       "16019   6.460184e+08 -5122048      1761  233.146251 -26.149265 -0.512   \n",
       "441214  6.460184e+08 -5122048      2865  282.469719 -41.065866 -0.512   \n",
       "405809  6.460184e+08 -5122048      2812  278.561099 -45.698056 -0.512   \n",
       "407681  6.460184e+08 -5122048      2813  278.561099 -45.698056 -0.512   \n",
       "11618   6.460184e+08 -5122048      1712  233.702487 -24.195588 -0.512   \n",
       "5804    6.460184e+08 -5122048      1661  230.254666 -24.851080 -0.512   \n",
       "4994    6.460184e+08 -5122048      1660  230.254666 -24.851080 -0.512   \n",
       "293029  6.460184e+08 -5122048      2562  265.791234 -42.798293 -0.512   \n",
       "10670   6.460184e+08 -5122048      1711  231.737724 -25.013145 -0.512   \n",
       "384568  6.460184e+08 -5122048      2765  278.302542 -41.648896 -0.512   \n",
       "382615  6.460184e+08 -5122048      2764  278.302542 -41.648896 -0.512   \n",
       "701594  6.460184e+08 -5122048      3221  302.550024 -32.411296 -0.512   \n",
       "18584   6.460184e+08 -5122048      1764  235.524173 -22.684419 -0.512   \n",
       "17648   6.460184e+08 -5122048      1763  235.534538 -22.748926 -0.512   \n",
       "267118  6.460184e+08 -5122048      2511  261.654697 -43.539289 -0.512   \n",
       "25109   6.460184e+08 -5122048      1814  237.811479 -24.478460 -0.512   \n",
       "31058   6.460184e+08 -5122048      1864  237.811479 -24.478460 -0.512   \n",
       "8728    6.460184e+08 -5122048      1709  230.828678 -27.715997 -0.512   \n",
       "2078    6.460184e+08 -5122048      1611  229.274462 -23.708838 -0.512   \n",
       "9647    6.460184e+08 -5122048      1710  230.992543 -27.327275 -0.512   \n",
       "38365   6.460184e+08 -5122048      1913  239.651597 -26.773896 -0.512   \n",
       "317635  6.460184e+08 -5122048      2614  269.189730 -40.879153 -0.512   \n",
       "437380  6.460184e+08 -5122048      2863  281.650892 -44.388299 -0.512   \n",
       "21797   6.460184e+08 -5122048      1811  235.215452 -28.018254 -0.512   \n",
       "16649   6.460184e+08 -5122048      1762  233.480027 -24.781447 -0.512   \n",
       "749213  6.460184e+08 -5122048      3308  300.483774 -54.046874 -0.512   \n",
       "285578  6.460184e+08 -5122048      2558  259.817107 -47.865283 -0.512   \n",
       "672594  6.460184e+08 -5122048      3177  303.976180 -20.882759 -0.512   \n",
       "294955  6.460184e+08 -5122048      2563  265.194294 -40.212961 -0.512   \n",
       "157922  6.460184e+08 -5122048      2259  247.994997 -40.529402 -0.512   \n",
       "7055    6.460184e+08 -5122048      1662  232.233721 -23.479490 -0.512   \n",
       "409697  6.460184e+08 -5122048      2814  280.382054 -43.766717 -0.512   \n",
       "269036  6.460184e+08 -5122048      2512  261.473321 -41.844376 -0.512   \n",
       "821960  6.460184e+08 -5122048      3411  307.175554 -49.337118 -0.512   \n",
       "575881  6.460184e+08 -5122048      3063  291.125494 -46.726858 -0.512   \n",
       "439314  6.460184e+08 -5122048      2864  281.736512 -42.268812 -0.512   \n",
       "12797   6.460184e+08 -5122048      1713  233.533869 -23.220620 -0.512   \n",
       "202939  6.460184e+08 -5122048      2361  253.342345 -40.969232 -0.512   \n",
       "147732  6.460184e+08 -5122048      2215  251.769158 -31.564728 -0.512   \n",
       "146886  6.460184e+08 -5122048      2214  251.718827 -31.536922 -0.512   \n",
       "758159  6.460184e+08 -5122048      3313  304.960855 -46.316169 -0.512   \n",
       "29807   6.460184e+08 -5122048      1862  237.305995 -27.474866 -0.512   \n",
       "725759  6.460184e+08 -5122048      3264  302.375365 -46.039512 -0.512   \n",
       "724922  6.460184e+08 -5122048      3263  302.375365 -46.039512 -0.512   \n",
       "394100  6.460184e+08 -5122048      2806  271.575231 -55.470328 -0.512   \n",
       "20870   6.460184e+08 -5122048      1810  233.748930 -29.088177 -0.512   \n",
       "287198  6.460184e+08 -5122048      2559  259.877782 -47.794978 -0.512   \n",
       "37384   6.460184e+08 -5122048      1912  239.077146 -28.272706 -0.512   \n",
       "1133    6.460184e+08 -5122048      1610  228.778445 -25.593409 -0.512   \n",
       "134     6.460184e+08 -5122048      1609  228.778445 -25.593409 -0.512   \n",
       "3023    6.460184e+08 -5122048      1612  230.948769 -22.881078 -0.512   \n",
       "962090  6.460184e+08 -5122048      3622  317.404851 -30.699105 -0.512   \n",
       "736567  6.460184e+08 -5122048      3273  306.060304 -27.973737 -0.512   \n",
       "241811  6.460184e+08 -5122048      2460  258.110086 -44.432664 -0.512   \n",
       "140084  6.460184e+08 -5122048      2210  247.006954 -37.737053 -0.512   \n",
       "142055  6.460184e+08 -5122048      2211  247.006954 -37.737053 -0.512   \n",
       "185595  6.460184e+08 -5122048      2313  254.056177 -35.448979 -0.512   \n",
       "378746  6.460184e+08 -5122048      2762  276.238833 -46.156033 -0.512   \n",
       "789551  6.460184e+08 -5122048      3362  305.963748 -48.027985 -0.512   \n",
       "228228  6.460184e+08 -5122048      2414  259.627620 -35.808247 -0.512   \n",
       "542995  6.460184e+08 -5122048      3016  292.651603 -40.021435 -0.512   \n",
       "243764  6.460184e+08 -5122048      2461  259.107668 -42.942913 -0.512   \n",
       "544939  6.460184e+08 -5122048      3017  292.651603 -40.021435 -0.512   \n",
       "481281  6.460184e+08 -5122048      2920  289.863235 -32.338575 -0.512   \n",
       "\n",
       "         fluence  \n",
       "16019   0.000002  \n",
       "441214  0.000002  \n",
       "405809  0.000002  \n",
       "407681  0.000002  \n",
       "11618   0.000002  \n",
       "5804    0.000002  \n",
       "4994    0.000002  \n",
       "293029  0.000002  \n",
       "10670   0.000002  \n",
       "384568  0.000002  \n",
       "382615  0.000002  \n",
       "701594  0.000002  \n",
       "18584   0.000002  \n",
       "17648   0.000002  \n",
       "267118  0.000002  \n",
       "25109   0.000002  \n",
       "31058   0.000002  \n",
       "8728    0.000002  \n",
       "2078    0.000002  \n",
       "9647    0.000002  \n",
       "38365   0.000002  \n",
       "317635  0.000002  \n",
       "437380  0.000002  \n",
       "21797   0.000002  \n",
       "16649   0.000002  \n",
       "749213  0.000002  \n",
       "285578  0.000002  \n",
       "672594  0.000002  \n",
       "294955  0.000002  \n",
       "157922  0.000002  \n",
       "7055    0.000002  \n",
       "409697  0.000002  \n",
       "269036  0.000002  \n",
       "821960  0.000002  \n",
       "575881  0.000002  \n",
       "439314  0.000002  \n",
       "12797   0.000002  \n",
       "202939  0.000002  \n",
       "147732  0.000002  \n",
       "146886  0.000002  \n",
       "758159  0.000002  \n",
       "29807   0.000002  \n",
       "725759  0.000002  \n",
       "724922  0.000002  \n",
       "394100  0.000002  \n",
       "20870   0.000002  \n",
       "287198  0.000002  \n",
       "37384   0.000002  \n",
       "1133    0.000002  \n",
       "134     0.000002  \n",
       "3023    0.000002  \n",
       "962090  0.000002  \n",
       "736567  0.000002  \n",
       "241811  0.000002  \n",
       "140084  0.000002  \n",
       "142055  0.000002  \n",
       "185595  0.000002  \n",
       "378746  0.000002  \n",
       "789551  0.000002  \n",
       "228228  0.000002  \n",
       "542995  0.000002  \n",
       "243764  0.000002  \n",
       "544939  0.000002  \n",
       "481281  0.000002  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res_peak_maxSq_tab.sort_values('TS', ascending=False).head(64)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17.93049827144411\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Unnamed: 0    2.600000e+01\n",
       "A             2.254872e-02\n",
       "Epeak         6.309573e+02\n",
       "TS            1.793050e+01\n",
       "bkg_nllh      4.603944e+04\n",
       "dur           2.048000e+00\n",
       "gamma         1.600000e+00\n",
       "nllh          4.587869e+04\n",
       "phi           1.553214e+02\n",
       "theta         7.526322e+01\n",
       "time          6.460184e+08\n",
       "timeID       -5.122048e+06\n",
       "hp_ind        1.611000e+03\n",
       "ra            1.968750e+02\n",
       "dec          -7.180756e+00\n",
       "dt           -5.119998e-01\n",
       "Name: 90738, dtype: float64"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# max TS out result\n",
    "print np.max(res_out_tab['TS'])\n",
    "idx = res_out_tab['TS'].idxmax()\n",
    "row = res_out_tab.loc[idx]\n",
    "max_TSout_timeID = row['timeID']\n",
    "row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>A</th>\n",
       "      <th>Epeak</th>\n",
       "      <th>TS</th>\n",
       "      <th>bkg_nllh</th>\n",
       "      <th>dur</th>\n",
       "      <th>gamma</th>\n",
       "      <th>nllh</th>\n",
       "      <th>phi</th>\n",
       "      <th>theta</th>\n",
       "      <th>time</th>\n",
       "      <th>timeID</th>\n",
       "      <th>hp_ind</th>\n",
       "      <th>ra</th>\n",
       "      <th>dec</th>\n",
       "      <th>dt</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>90738</th>\n",
       "      <td>26</td>\n",
       "      <td>0.022549</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.930498</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45878.688970</td>\n",
       "      <td>155.321410</td>\n",
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       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1611</td>\n",
       "      <td>196.8750</td>\n",
       "      <td>-7.180756</td>\n",
       "      <td>-0.512</td>\n",
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       "    <tr>\n",
       "      <th>90745</th>\n",
       "      <td>33</td>\n",
       "      <td>0.022179</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.929094</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45878.714140</td>\n",
       "      <td>155.321410</td>\n",
       "      <td>75.263221</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1611</td>\n",
       "      <td>196.8750</td>\n",
       "      <td>-7.180756</td>\n",
       "      <td>-0.512</td>\n",
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       "    <tr>\n",
       "      <th>90735</th>\n",
       "      <td>23</td>\n",
       "      <td>0.020974</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.929017</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45878.715529</td>\n",
       "      <td>155.321410</td>\n",
       "      <td>75.263221</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1611</td>\n",
       "      <td>196.8750</td>\n",
       "      <td>-7.180756</td>\n",
       "      <td>-0.512</td>\n",
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       "    <tr>\n",
       "      <th>90741</th>\n",
       "      <td>29</td>\n",
       "      <td>0.020974</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.929017</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45878.715529</td>\n",
       "      <td>155.321410</td>\n",
       "      <td>75.263221</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1611</td>\n",
       "      <td>196.8750</td>\n",
       "      <td>-7.180756</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90742</th>\n",
       "      <td>30</td>\n",
       "      <td>0.022679</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.922284</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45878.836218</td>\n",
       "      <td>155.321410</td>\n",
       "      <td>75.263221</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1611</td>\n",
       "      <td>196.8750</td>\n",
       "      <td>-7.180756</td>\n",
       "      <td>-0.512</td>\n",
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       "    <tr>\n",
       "      <th>90744</th>\n",
       "      <td>32</td>\n",
       "      <td>0.019930</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.921898</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45878.843140</td>\n",
       "      <td>155.321410</td>\n",
       "      <td>75.263221</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1611</td>\n",
       "      <td>196.8750</td>\n",
       "      <td>-7.180756</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90730</th>\n",
       "      <td>18</td>\n",
       "      <td>0.024943</td>\n",
       "      <td>398.107171</td>\n",
       "      <td>17.915766</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45878.953011</td>\n",
       "      <td>155.321410</td>\n",
       "      <td>75.263221</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1611</td>\n",
       "      <td>196.8750</td>\n",
       "      <td>-7.180756</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90739</th>\n",
       "      <td>27</td>\n",
       "      <td>0.023441</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.909630</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45879.062929</td>\n",
       "      <td>155.321410</td>\n",
       "      <td>75.263221</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1611</td>\n",
       "      <td>196.8750</td>\n",
       "      <td>-7.180756</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90737</th>\n",
       "      <td>25</td>\n",
       "      <td>0.021301</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.895092</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.4</td>\n",
       "      <td>45879.323197</td>\n",
       "      <td>155.321410</td>\n",
       "      <td>75.263221</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1611</td>\n",
       "      <td>196.8750</td>\n",
       "      <td>-7.180756</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214774</th>\n",
       "      <td>30</td>\n",
       "      <td>0.016178</td>\n",
       "      <td>398.107171</td>\n",
       "      <td>17.894867</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.4</td>\n",
       "      <td>45879.327226</td>\n",
       "      <td>112.677901</td>\n",
       "      <td>64.787443</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2701</td>\n",
       "      <td>202.5000</td>\n",
       "      <td>-48.141208</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214770</th>\n",
       "      <td>26</td>\n",
       "      <td>0.016241</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.888527</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45879.440648</td>\n",
       "      <td>112.677901</td>\n",
       "      <td>64.787443</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2701</td>\n",
       "      <td>202.5000</td>\n",
       "      <td>-48.141208</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227418</th>\n",
       "      <td>26</td>\n",
       "      <td>0.015754</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.866926</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45879.826837</td>\n",
       "      <td>66.506182</td>\n",
       "      <td>64.258877</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2824</td>\n",
       "      <td>285.0000</td>\n",
       "      <td>-81.219822</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227422</th>\n",
       "      <td>30</td>\n",
       "      <td>0.015665</td>\n",
       "      <td>398.107171</td>\n",
       "      <td>17.866808</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.4</td>\n",
       "      <td>45879.828931</td>\n",
       "      <td>66.506182</td>\n",
       "      <td>64.258877</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2824</td>\n",
       "      <td>285.0000</td>\n",
       "      <td>-81.219822</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90740</th>\n",
       "      <td>28</td>\n",
       "      <td>0.018944</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.864619</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.4</td>\n",
       "      <td>45879.868050</td>\n",
       "      <td>155.321410</td>\n",
       "      <td>75.263221</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1611</td>\n",
       "      <td>196.8750</td>\n",
       "      <td>-7.180756</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214763</th>\n",
       "      <td>19</td>\n",
       "      <td>0.018363</td>\n",
       "      <td>398.107171</td>\n",
       "      <td>17.841474</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45880.281265</td>\n",
       "      <td>112.677901</td>\n",
       "      <td>64.787443</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2701</td>\n",
       "      <td>202.5000</td>\n",
       "      <td>-48.141208</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214773</th>\n",
       "      <td>29</td>\n",
       "      <td>0.018363</td>\n",
       "      <td>398.107171</td>\n",
       "      <td>17.841474</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45880.281265</td>\n",
       "      <td>112.677901</td>\n",
       "      <td>64.787443</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2701</td>\n",
       "      <td>202.5000</td>\n",
       "      <td>-48.141208</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93600</th>\n",
       "      <td>32</td>\n",
       "      <td>0.024452</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.840089</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45880.305961</td>\n",
       "      <td>156.884201</td>\n",
       "      <td>78.620145</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1633</td>\n",
       "      <td>194.0625</td>\n",
       "      <td>-4.780192</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90743</th>\n",
       "      <td>31</td>\n",
       "      <td>0.017388</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.830554</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.4</td>\n",
       "      <td>45880.476029</td>\n",
       "      <td>155.321410</td>\n",
       "      <td>75.263221</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1611</td>\n",
       "      <td>196.8750</td>\n",
       "      <td>-7.180756</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93597</th>\n",
       "      <td>29</td>\n",
       "      <td>0.025794</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.827400</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45880.532266</td>\n",
       "      <td>156.884201</td>\n",
       "      <td>78.620145</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1633</td>\n",
       "      <td>194.0625</td>\n",
       "      <td>-4.780192</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93591</th>\n",
       "      <td>23</td>\n",
       "      <td>0.025794</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.827400</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45880.532266</td>\n",
       "      <td>156.884201</td>\n",
       "      <td>78.620145</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1633</td>\n",
       "      <td>194.0625</td>\n",
       "      <td>-4.780192</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90729</th>\n",
       "      <td>17</td>\n",
       "      <td>0.024301</td>\n",
       "      <td>398.107171</td>\n",
       "      <td>17.825994</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.0</td>\n",
       "      <td>45880.557325</td>\n",
       "      <td>155.321410</td>\n",
       "      <td>75.263221</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1611</td>\n",
       "      <td>196.8750</td>\n",
       "      <td>-7.180756</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214775</th>\n",
       "      <td>31</td>\n",
       "      <td>0.018799</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.824023</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.0</td>\n",
       "      <td>45880.592462</td>\n",
       "      <td>112.677901</td>\n",
       "      <td>64.787443</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2701</td>\n",
       "      <td>202.5000</td>\n",
       "      <td>-48.141208</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214772</th>\n",
       "      <td>28</td>\n",
       "      <td>0.018799</td>\n",
       "      <td>398.107171</td>\n",
       "      <td>17.824023</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.0</td>\n",
       "      <td>45880.592462</td>\n",
       "      <td>112.677901</td>\n",
       "      <td>64.787443</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2701</td>\n",
       "      <td>202.5000</td>\n",
       "      <td>-48.141208</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214769</th>\n",
       "      <td>25</td>\n",
       "      <td>0.018799</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.824023</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.0</td>\n",
       "      <td>45880.592462</td>\n",
       "      <td>112.677901</td>\n",
       "      <td>64.787443</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2701</td>\n",
       "      <td>202.5000</td>\n",
       "      <td>-48.141208</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93596</th>\n",
       "      <td>28</td>\n",
       "      <td>0.023299</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.822882</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.4</td>\n",
       "      <td>45880.612786</td>\n",
       "      <td>156.884201</td>\n",
       "      <td>78.620145</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1633</td>\n",
       "      <td>194.0625</td>\n",
       "      <td>-4.780192</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234089</th>\n",
       "      <td>33</td>\n",
       "      <td>0.018177</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.821293</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45880.641119</td>\n",
       "      <td>37.350698</td>\n",
       "      <td>71.161062</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2881</td>\n",
       "      <td>355.5000</td>\n",
       "      <td>-60.434439</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93999</th>\n",
       "      <td>23</td>\n",
       "      <td>0.022506</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.818541</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45880.690145</td>\n",
       "      <td>160.059037</td>\n",
       "      <td>76.623800</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1636</td>\n",
       "      <td>196.8750</td>\n",
       "      <td>-2.388015</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94005</th>\n",
       "      <td>29</td>\n",
       "      <td>0.022506</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.818541</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45880.690145</td>\n",
       "      <td>160.059037</td>\n",
       "      <td>76.623800</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1636</td>\n",
       "      <td>196.8750</td>\n",
       "      <td>-2.388015</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94008</th>\n",
       "      <td>32</td>\n",
       "      <td>0.021368</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.817734</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45880.704523</td>\n",
       "      <td>160.059037</td>\n",
       "      <td>76.623800</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1636</td>\n",
       "      <td>196.8750</td>\n",
       "      <td>-2.388015</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93593</th>\n",
       "      <td>25</td>\n",
       "      <td>0.026335</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.815834</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.4</td>\n",
       "      <td>45880.738376</td>\n",
       "      <td>156.884201</td>\n",
       "      <td>78.620145</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1633</td>\n",
       "      <td>194.0625</td>\n",
       "      <td>-4.780192</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93599</th>\n",
       "      <td>31</td>\n",
       "      <td>0.021280</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.811344</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.4</td>\n",
       "      <td>45880.818358</td>\n",
       "      <td>156.884201</td>\n",
       "      <td>78.620145</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1633</td>\n",
       "      <td>194.0625</td>\n",
       "      <td>-4.780192</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94002</th>\n",
       "      <td>26</td>\n",
       "      <td>0.024218</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.810629</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45880.831103</td>\n",
       "      <td>160.059037</td>\n",
       "      <td>76.623800</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1636</td>\n",
       "      <td>196.8750</td>\n",
       "      <td>-2.388015</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233953</th>\n",
       "      <td>33</td>\n",
       "      <td>0.018373</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.808011</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45880.877722</td>\n",
       "      <td>40.533213</td>\n",
       "      <td>70.874880</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2880</td>\n",
       "      <td>355.0000</td>\n",
       "      <td>-63.448284</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234086</th>\n",
       "      <td>30</td>\n",
       "      <td>0.019017</td>\n",
       "      <td>398.107171</td>\n",
       "      <td>17.807198</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45880.892209</td>\n",
       "      <td>37.350698</td>\n",
       "      <td>71.161062</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2881</td>\n",
       "      <td>355.5000</td>\n",
       "      <td>-60.434439</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90608</th>\n",
       "      <td>32</td>\n",
       "      <td>0.022516</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.806689</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45880.901276</td>\n",
       "      <td>152.154065</td>\n",
       "      <td>77.287722</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1610</td>\n",
       "      <td>194.0625</td>\n",
       "      <td>-9.594068</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214776</th>\n",
       "      <td>32</td>\n",
       "      <td>0.019193</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.803787</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45880.952947</td>\n",
       "      <td>112.677901</td>\n",
       "      <td>64.787443</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2701</td>\n",
       "      <td>202.5000</td>\n",
       "      <td>-48.141208</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90605</th>\n",
       "      <td>29</td>\n",
       "      <td>0.023739</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.803097</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45880.965217</td>\n",
       "      <td>152.154065</td>\n",
       "      <td>77.287722</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1610</td>\n",
       "      <td>194.0625</td>\n",
       "      <td>-9.594068</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90599</th>\n",
       "      <td>23</td>\n",
       "      <td>0.023739</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.803097</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45880.965217</td>\n",
       "      <td>152.154065</td>\n",
       "      <td>77.287722</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1610</td>\n",
       "      <td>194.0625</td>\n",
       "      <td>-9.594068</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201442</th>\n",
       "      <td>26</td>\n",
       "      <td>0.015306</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.802646</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45880.973252</td>\n",
       "      <td>76.323252</td>\n",
       "      <td>63.713755</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2566</td>\n",
       "      <td>236.2500</td>\n",
       "      <td>-78.284148</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94009</th>\n",
       "      <td>33</td>\n",
       "      <td>0.023784</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.800929</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45881.003821</td>\n",
       "      <td>160.059037</td>\n",
       "      <td>76.623800</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1636</td>\n",
       "      <td>196.8750</td>\n",
       "      <td>-2.388015</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233950</th>\n",
       "      <td>30</td>\n",
       "      <td>0.019241</td>\n",
       "      <td>398.107171</td>\n",
       "      <td>17.798685</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45881.043751</td>\n",
       "      <td>40.533213</td>\n",
       "      <td>70.874880</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2880</td>\n",
       "      <td>355.0000</td>\n",
       "      <td>-63.448284</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93594</th>\n",
       "      <td>26</td>\n",
       "      <td>0.027803</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.797873</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45881.058207</td>\n",
       "      <td>156.884201</td>\n",
       "      <td>78.620145</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1633</td>\n",
       "      <td>194.0625</td>\n",
       "      <td>-4.780192</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201446</th>\n",
       "      <td>30</td>\n",
       "      <td>0.015220</td>\n",
       "      <td>398.107171</td>\n",
       "      <td>17.797357</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.4</td>\n",
       "      <td>45881.067398</td>\n",
       "      <td>76.323252</td>\n",
       "      <td>63.713755</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2566</td>\n",
       "      <td>236.2500</td>\n",
       "      <td>-78.284148</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227411</th>\n",
       "      <td>19</td>\n",
       "      <td>0.017720</td>\n",
       "      <td>398.107171</td>\n",
       "      <td>17.794977</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45881.109749</td>\n",
       "      <td>66.506182</td>\n",
       "      <td>64.258877</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2824</td>\n",
       "      <td>285.0000</td>\n",
       "      <td>-81.219822</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227421</th>\n",
       "      <td>29</td>\n",
       "      <td>0.017720</td>\n",
       "      <td>398.107171</td>\n",
       "      <td>17.794977</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45881.109749</td>\n",
       "      <td>66.506182</td>\n",
       "      <td>64.258877</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2824</td>\n",
       "      <td>285.0000</td>\n",
       "      <td>-81.219822</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94001</th>\n",
       "      <td>25</td>\n",
       "      <td>0.022888</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.790750</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.4</td>\n",
       "      <td>45881.184964</td>\n",
       "      <td>160.059037</td>\n",
       "      <td>76.623800</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1636</td>\n",
       "      <td>196.8750</td>\n",
       "      <td>-2.388015</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94006</th>\n",
       "      <td>30</td>\n",
       "      <td>0.024327</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.790552</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45881.188481</td>\n",
       "      <td>160.059037</td>\n",
       "      <td>76.623800</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1636</td>\n",
       "      <td>196.8750</td>\n",
       "      <td>-2.388015</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90602</th>\n",
       "      <td>26</td>\n",
       "      <td>0.025575</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.787659</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45881.239944</td>\n",
       "      <td>152.154065</td>\n",
       "      <td>77.287722</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1610</td>\n",
       "      <td>194.0625</td>\n",
       "      <td>-9.594068</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227423</th>\n",
       "      <td>31</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.787334</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.0</td>\n",
       "      <td>45881.245723</td>\n",
       "      <td>66.506182</td>\n",
       "      <td>64.258877</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2824</td>\n",
       "      <td>285.0000</td>\n",
       "      <td>-81.219822</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227417</th>\n",
       "      <td>25</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.787334</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.0</td>\n",
       "      <td>45881.245723</td>\n",
       "      <td>66.506182</td>\n",
       "      <td>64.258877</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2824</td>\n",
       "      <td>285.0000</td>\n",
       "      <td>-81.219822</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227420</th>\n",
       "      <td>28</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>398.107171</td>\n",
       "      <td>17.787334</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.0</td>\n",
       "      <td>45881.245723</td>\n",
       "      <td>66.506182</td>\n",
       "      <td>64.258877</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2824</td>\n",
       "      <td>285.0000</td>\n",
       "      <td>-81.219822</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90601</th>\n",
       "      <td>25</td>\n",
       "      <td>0.024184</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.786392</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.4</td>\n",
       "      <td>45881.262475</td>\n",
       "      <td>152.154065</td>\n",
       "      <td>77.287722</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1610</td>\n",
       "      <td>194.0625</td>\n",
       "      <td>-9.594068</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234088</th>\n",
       "      <td>32</td>\n",
       "      <td>0.017480</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.784851</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45881.289889</td>\n",
       "      <td>37.350698</td>\n",
       "      <td>71.161062</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2881</td>\n",
       "      <td>355.5000</td>\n",
       "      <td>-60.434439</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214768</th>\n",
       "      <td>24</td>\n",
       "      <td>0.019659</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.782680</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45881.328503</td>\n",
       "      <td>112.677901</td>\n",
       "      <td>64.787443</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2701</td>\n",
       "      <td>202.5000</td>\n",
       "      <td>-48.141208</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234074</th>\n",
       "      <td>18</td>\n",
       "      <td>0.019214</td>\n",
       "      <td>398.107171</td>\n",
       "      <td>17.782157</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45881.337803</td>\n",
       "      <td>37.350698</td>\n",
       "      <td>71.161062</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2881</td>\n",
       "      <td>355.5000</td>\n",
       "      <td>-60.434439</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234085</th>\n",
       "      <td>29</td>\n",
       "      <td>0.019214</td>\n",
       "      <td>398.107171</td>\n",
       "      <td>17.782157</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45881.337803</td>\n",
       "      <td>37.350698</td>\n",
       "      <td>71.161062</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2881</td>\n",
       "      <td>355.5000</td>\n",
       "      <td>-60.434439</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93994</th>\n",
       "      <td>18</td>\n",
       "      <td>0.026816</td>\n",
       "      <td>398.107171</td>\n",
       "      <td>17.782135</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45881.338200</td>\n",
       "      <td>160.059037</td>\n",
       "      <td>76.623800</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1636</td>\n",
       "      <td>196.8750</td>\n",
       "      <td>-2.388015</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207432</th>\n",
       "      <td>32</td>\n",
       "      <td>0.013978</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.779294</td>\n",
       "      <td>46039.440353</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45881.388710</td>\n",
       "      <td>98.171415</td>\n",
       "      <td>61.514280</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2605</td>\n",
       "      <td>211.5000</td>\n",
       "      <td>-60.434439</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234083</th>\n",
       "      <td>27</td>\n",
       "      <td>0.020302</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.779119</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45881.391825</td>\n",
       "      <td>37.350698</td>\n",
       "      <td>71.161062</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2881</td>\n",
       "      <td>355.5000</td>\n",
       "      <td>-60.434439</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234079</th>\n",
       "      <td>23</td>\n",
       "      <td>0.016347</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.778523</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45881.402411</td>\n",
       "      <td>37.350698</td>\n",
       "      <td>71.161062</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2881</td>\n",
       "      <td>355.5000</td>\n",
       "      <td>-60.434439</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233947</th>\n",
       "      <td>27</td>\n",
       "      <td>0.020572</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.777700</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45881.417049</td>\n",
       "      <td>40.533213</td>\n",
       "      <td>70.874880</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2880</td>\n",
       "      <td>355.0000</td>\n",
       "      <td>-63.448284</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207433</th>\n",
       "      <td>33</td>\n",
       "      <td>0.015153</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.777548</td>\n",
       "      <td>46039.440353</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45881.419739</td>\n",
       "      <td>98.171415</td>\n",
       "      <td>61.514280</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2605</td>\n",
       "      <td>211.5000</td>\n",
       "      <td>-60.434439</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90604</th>\n",
       "      <td>28</td>\n",
       "      <td>0.021423</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.775878</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.4</td>\n",
       "      <td>45881.449436</td>\n",
       "      <td>152.154065</td>\n",
       "      <td>77.287722</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1610</td>\n",
       "      <td>194.0625</td>\n",
       "      <td>-9.594068</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207423</th>\n",
       "      <td>23</td>\n",
       "      <td>0.014493</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.774910</td>\n",
       "      <td>46039.440353</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45881.466633</td>\n",
       "      <td>98.171415</td>\n",
       "      <td>61.514280</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2605</td>\n",
       "      <td>211.5000</td>\n",
       "      <td>-60.434439</td>\n",
       "      <td>-0.512</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Unnamed: 0         A        Epeak         TS      bkg_nllh    dur  \\\n",
       "90738           26  0.022549   630.957344  17.930498  46039.440354  2.048   \n",
       "90745           33  0.022179  1584.893192  17.929094  46039.440354  2.048   \n",
       "90735           23  0.020974  1000.000000  17.929017  46039.440354  2.048   \n",
       "90741           29  0.020974  1000.000000  17.929017  46039.440354  2.048   \n",
       "90742           30  0.022679  1000.000000  17.922284  46039.440354  2.048   \n",
       "90744           32  0.019930  1584.893192  17.921898  46039.440354  2.048   \n",
       "90730           18  0.024943   398.107171  17.915766  46039.440354  2.048   \n",
       "90739           27  0.023441   630.957344  17.909630  46039.440354  2.048   \n",
       "90737           25  0.021301   630.957344  17.895092  46039.440354  2.048   \n",
       "214774          30  0.016178   398.107171  17.894867  46039.440354  2.048   \n",
       "214770          26  0.016241   251.188643  17.888527  46039.440354  2.048   \n",
       "227418          26  0.015754   251.188643  17.866926  46039.440354  2.048   \n",
       "227422          30  0.015665   398.107171  17.866808  46039.440354  2.048   \n",
       "90740           28  0.018944  1000.000000  17.864619  46039.440354  2.048   \n",
       "214763          19  0.018363   398.107171  17.841474  46039.440354  2.048   \n",
       "214773          29  0.018363   398.107171  17.841474  46039.440354  2.048   \n",
       "93600           32  0.024452  1584.893192  17.840089  46039.440354  2.048   \n",
       "90743           31  0.017388  1584.893192  17.830554  46039.440354  2.048   \n",
       "93597           29  0.025794  1000.000000  17.827400  46039.440354  2.048   \n",
       "93591           23  0.025794  1000.000000  17.827400  46039.440354  2.048   \n",
       "90729           17  0.024301   398.107171  17.825994  46039.440354  2.048   \n",
       "214775          31  0.018799   630.957344  17.824023  46039.440354  2.048   \n",
       "214772          28  0.018799   398.107171  17.824023  46039.440354  2.048   \n",
       "214769          25  0.018799   251.188643  17.824023  46039.440354  2.048   \n",
       "93596           28  0.023299  1000.000000  17.822882  46039.440354  2.048   \n",
       "234089          33  0.018177   630.957344  17.821293  46039.440354  2.048   \n",
       "93999           23  0.022506  1000.000000  17.818541  46039.440354  2.048   \n",
       "94005           29  0.022506  1000.000000  17.818541  46039.440354  2.048   \n",
       "94008           32  0.021368  1584.893192  17.817734  46039.440354  2.048   \n",
       "93593           25  0.026335   630.957344  17.815834  46039.440354  2.048   \n",
       "93599           31  0.021280  1584.893192  17.811344  46039.440354  2.048   \n",
       "94002           26  0.024218   630.957344  17.810629  46039.440354  2.048   \n",
       "233953          33  0.018373   630.957344  17.808011  46039.440354  2.048   \n",
       "234086          30  0.019017   398.107171  17.807198  46039.440354  2.048   \n",
       "90608           32  0.022516  1584.893192  17.806689  46039.440354  2.048   \n",
       "214776          32  0.019193   630.957344  17.803787  46039.440354  2.048   \n",
       "90605           29  0.023739  1000.000000  17.803097  46039.440354  2.048   \n",
       "90599           23  0.023739  1000.000000  17.803097  46039.440354  2.048   \n",
       "201442          26  0.015306   251.188643  17.802646  46039.440354  2.048   \n",
       "94009           33  0.023784  1584.893192  17.800929  46039.440354  2.048   \n",
       "233950          30  0.019241   398.107171  17.798685  46039.440354  2.048   \n",
       "93594           26  0.027803   630.957344  17.797873  46039.440354  2.048   \n",
       "201446          30  0.015220   398.107171  17.797357  46039.440354  2.048   \n",
       "227411          19  0.017720   398.107171  17.794977  46039.440354  2.048   \n",
       "227421          29  0.017720   398.107171  17.794977  46039.440354  2.048   \n",
       "94001           25  0.022888   630.957344  17.790750  46039.440354  2.048   \n",
       "94006           30  0.024327  1000.000000  17.790552  46039.440354  2.048   \n",
       "90602           26  0.025575   630.957344  17.787659  46039.440354  2.048   \n",
       "227423          31  0.018182   630.957344  17.787334  46039.440354  2.048   \n",
       "227417          25  0.018182   251.188643  17.787334  46039.440354  2.048   \n",
       "227420          28  0.018182   398.107171  17.787334  46039.440354  2.048   \n",
       "90601           25  0.024184   630.957344  17.786392  46039.440354  2.048   \n",
       "234088          32  0.017480   630.957344  17.784851  46039.440354  2.048   \n",
       "214768          24  0.019659  1000.000000  17.782680  46039.440354  2.048   \n",
       "234074          18  0.019214   398.107171  17.782157  46039.440354  2.048   \n",
       "234085          29  0.019214   398.107171  17.782157  46039.440354  2.048   \n",
       "93994           18  0.026816   398.107171  17.782135  46039.440354  2.048   \n",
       "207432          32  0.013978  1584.893192  17.779294  46039.440353  2.048   \n",
       "234083          27  0.020302   251.188643  17.779119  46039.440354  2.048   \n",
       "234079          23  0.016347  1000.000000  17.778523  46039.440354  2.048   \n",
       "233947          27  0.020572   251.188643  17.777700  46039.440354  2.048   \n",
       "207433          33  0.015153  1584.893192  17.777548  46039.440353  2.048   \n",
       "90604           28  0.021423  1000.000000  17.775878  46039.440354  2.048   \n",
       "207423          23  0.014493  1000.000000  17.774910  46039.440353  2.048   \n",
       "\n",
       "        gamma          nllh         phi      theta          time   timeID  \\\n",
       "90738     1.6  45878.688970  155.321410  75.263221  6.460184e+08 -5122048   \n",
       "90745     1.8  45878.714140  155.321410  75.263221  6.460184e+08 -5122048   \n",
       "90735     1.6  45878.715529  155.321410  75.263221  6.460184e+08 -5122048   \n",
       "90741     1.6  45878.715529  155.321410  75.263221  6.460184e+08 -5122048   \n",
       "90742     1.8  45878.836218  155.321410  75.263221  6.460184e+08 -5122048   \n",
       "90744     1.6  45878.843140  155.321410  75.263221  6.460184e+08 -5122048   \n",
       "90730     1.6  45878.953011  155.321410  75.263221  6.460184e+08 -5122048   \n",
       "90739     1.8  45879.062929  155.321410  75.263221  6.460184e+08 -5122048   \n",
       "90737     1.4  45879.323197  155.321410  75.263221  6.460184e+08 -5122048   \n",
       "214774    2.4  45879.327226  112.677901  64.787443  6.460184e+08 -5122048   \n",
       "214770    2.2  45879.440648  112.677901  64.787443  6.460184e+08 -5122048   \n",
       "227418    2.2  45879.826837   66.506182  64.258877  6.460184e+08 -5122048   \n",
       "227422    2.4  45879.828931   66.506182  64.258877  6.460184e+08 -5122048   \n",
       "90740     1.4  45879.868050  155.321410  75.263221  6.460184e+08 -5122048   \n",
       "214763    2.2  45880.281265  112.677901  64.787443  6.460184e+08 -5122048   \n",
       "214773    2.2  45880.281265  112.677901  64.787443  6.460184e+08 -5122048   \n",
       "93600     1.6  45880.305961  156.884201  78.620145  6.460184e+08 -5122048   \n",
       "90743     1.4  45880.476029  155.321410  75.263221  6.460184e+08 -5122048   \n",
       "93597     1.6  45880.532266  156.884201  78.620145  6.460184e+08 -5122048   \n",
       "93591     1.6  45880.532266  156.884201  78.620145  6.460184e+08 -5122048   \n",
       "90729     1.0  45880.557325  155.321410  75.263221  6.460184e+08 -5122048   \n",
       "214775    2.0  45880.592462  112.677901  64.787443  6.460184e+08 -5122048   \n",
       "214772    2.0  45880.592462  112.677901  64.787443  6.460184e+08 -5122048   \n",
       "214769    2.0  45880.592462  112.677901  64.787443  6.460184e+08 -5122048   \n",
       "93596     1.4  45880.612786  156.884201  78.620145  6.460184e+08 -5122048   \n",
       "234089    1.8  45880.641119   37.350698  71.161062  6.460184e+08 -5122048   \n",
       "93999     1.6  45880.690145  160.059037  76.623800  6.460184e+08 -5122048   \n",
       "94005     1.6  45880.690145  160.059037  76.623800  6.460184e+08 -5122048   \n",
       "94008     1.6  45880.704523  160.059037  76.623800  6.460184e+08 -5122048   \n",
       "93593     1.4  45880.738376  156.884201  78.620145  6.460184e+08 -5122048   \n",
       "93599     1.4  45880.818358  156.884201  78.620145  6.460184e+08 -5122048   \n",
       "94002     1.6  45880.831103  160.059037  76.623800  6.460184e+08 -5122048   \n",
       "233953    1.8  45880.877722   40.533213  70.874880  6.460184e+08 -5122048   \n",
       "234086    1.8  45880.892209   37.350698  71.161062  6.460184e+08 -5122048   \n",
       "90608     1.6  45880.901276  152.154065  77.287722  6.460184e+08 -5122048   \n",
       "214776    2.2  45880.952947  112.677901  64.787443  6.460184e+08 -5122048   \n",
       "90605     1.6  45880.965217  152.154065  77.287722  6.460184e+08 -5122048   \n",
       "90599     1.6  45880.965217  152.154065  77.287722  6.460184e+08 -5122048   \n",
       "201442    2.2  45880.973252   76.323252  63.713755  6.460184e+08 -5122048   \n",
       "94009     1.8  45881.003821  160.059037  76.623800  6.460184e+08 -5122048   \n",
       "233950    1.8  45881.043751   40.533213  70.874880  6.460184e+08 -5122048   \n",
       "93594     1.6  45881.058207  156.884201  78.620145  6.460184e+08 -5122048   \n",
       "201446    2.4  45881.067398   76.323252  63.713755  6.460184e+08 -5122048   \n",
       "227411    2.2  45881.109749   66.506182  64.258877  6.460184e+08 -5122048   \n",
       "227421    2.2  45881.109749   66.506182  64.258877  6.460184e+08 -5122048   \n",
       "94001     1.4  45881.184964  160.059037  76.623800  6.460184e+08 -5122048   \n",
       "94006     1.8  45881.188481  160.059037  76.623800  6.460184e+08 -5122048   \n",
       "90602     1.6  45881.239944  152.154065  77.287722  6.460184e+08 -5122048   \n",
       "227423    2.0  45881.245723   66.506182  64.258877  6.460184e+08 -5122048   \n",
       "227417    2.0  45881.245723   66.506182  64.258877  6.460184e+08 -5122048   \n",
       "227420    2.0  45881.245723   66.506182  64.258877  6.460184e+08 -5122048   \n",
       "90601     1.4  45881.262475  152.154065  77.287722  6.460184e+08 -5122048   \n",
       "234088    1.6  45881.289889   37.350698  71.161062  6.460184e+08 -5122048   \n",
       "214768    2.2  45881.328503  112.677901  64.787443  6.460184e+08 -5122048   \n",
       "234074    1.6  45881.337803   37.350698  71.161062  6.460184e+08 -5122048   \n",
       "234085    1.6  45881.337803   37.350698  71.161062  6.460184e+08 -5122048   \n",
       "93994     1.6  45881.338200  160.059037  76.623800  6.460184e+08 -5122048   \n",
       "207432    1.6  45881.388710   98.171415  61.514280  6.460184e+08 -5122048   \n",
       "234083    1.8  45881.391825   37.350698  71.161062  6.460184e+08 -5122048   \n",
       "234079    1.6  45881.402411   37.350698  71.161062  6.460184e+08 -5122048   \n",
       "233947    1.8  45881.417049   40.533213  70.874880  6.460184e+08 -5122048   \n",
       "207433    1.8  45881.419739   98.171415  61.514280  6.460184e+08 -5122048   \n",
       "90604     1.4  45881.449436  152.154065  77.287722  6.460184e+08 -5122048   \n",
       "207423    1.6  45881.466633   98.171415  61.514280  6.460184e+08 -5122048   \n",
       "\n",
       "        hp_ind        ra        dec     dt  \n",
       "90738     1611  196.8750  -7.180756 -0.512  \n",
       "90745     1611  196.8750  -7.180756 -0.512  \n",
       "90735     1611  196.8750  -7.180756 -0.512  \n",
       "90741     1611  196.8750  -7.180756 -0.512  \n",
       "90742     1611  196.8750  -7.180756 -0.512  \n",
       "90744     1611  196.8750  -7.180756 -0.512  \n",
       "90730     1611  196.8750  -7.180756 -0.512  \n",
       "90739     1611  196.8750  -7.180756 -0.512  \n",
       "90737     1611  196.8750  -7.180756 -0.512  \n",
       "214774    2701  202.5000 -48.141208 -0.512  \n",
       "214770    2701  202.5000 -48.141208 -0.512  \n",
       "227418    2824  285.0000 -81.219822 -0.512  \n",
       "227422    2824  285.0000 -81.219822 -0.512  \n",
       "90740     1611  196.8750  -7.180756 -0.512  \n",
       "214763    2701  202.5000 -48.141208 -0.512  \n",
       "214773    2701  202.5000 -48.141208 -0.512  \n",
       "93600     1633  194.0625  -4.780192 -0.512  \n",
       "90743     1611  196.8750  -7.180756 -0.512  \n",
       "93597     1633  194.0625  -4.780192 -0.512  \n",
       "93591     1633  194.0625  -4.780192 -0.512  \n",
       "90729     1611  196.8750  -7.180756 -0.512  \n",
       "214775    2701  202.5000 -48.141208 -0.512  \n",
       "214772    2701  202.5000 -48.141208 -0.512  \n",
       "214769    2701  202.5000 -48.141208 -0.512  \n",
       "93596     1633  194.0625  -4.780192 -0.512  \n",
       "234089    2881  355.5000 -60.434439 -0.512  \n",
       "93999     1636  196.8750  -2.388015 -0.512  \n",
       "94005     1636  196.8750  -2.388015 -0.512  \n",
       "94008     1636  196.8750  -2.388015 -0.512  \n",
       "93593     1633  194.0625  -4.780192 -0.512  \n",
       "93599     1633  194.0625  -4.780192 -0.512  \n",
       "94002     1636  196.8750  -2.388015 -0.512  \n",
       "233953    2880  355.0000 -63.448284 -0.512  \n",
       "234086    2881  355.5000 -60.434439 -0.512  \n",
       "90608     1610  194.0625  -9.594068 -0.512  \n",
       "214776    2701  202.5000 -48.141208 -0.512  \n",
       "90605     1610  194.0625  -9.594068 -0.512  \n",
       "90599     1610  194.0625  -9.594068 -0.512  \n",
       "201442    2566  236.2500 -78.284148 -0.512  \n",
       "94009     1636  196.8750  -2.388015 -0.512  \n",
       "233950    2880  355.0000 -63.448284 -0.512  \n",
       "93594     1633  194.0625  -4.780192 -0.512  \n",
       "201446    2566  236.2500 -78.284148 -0.512  \n",
       "227411    2824  285.0000 -81.219822 -0.512  \n",
       "227421    2824  285.0000 -81.219822 -0.512  \n",
       "94001     1636  196.8750  -2.388015 -0.512  \n",
       "94006     1636  196.8750  -2.388015 -0.512  \n",
       "90602     1610  194.0625  -9.594068 -0.512  \n",
       "227423    2824  285.0000 -81.219822 -0.512  \n",
       "227417    2824  285.0000 -81.219822 -0.512  \n",
       "227420    2824  285.0000 -81.219822 -0.512  \n",
       "90601     1610  194.0625  -9.594068 -0.512  \n",
       "234088    2881  355.5000 -60.434439 -0.512  \n",
       "214768    2701  202.5000 -48.141208 -0.512  \n",
       "234074    2881  355.5000 -60.434439 -0.512  \n",
       "234085    2881  355.5000 -60.434439 -0.512  \n",
       "93994     1636  196.8750  -2.388015 -0.512  \n",
       "207432    2605  211.5000 -60.434439 -0.512  \n",
       "234083    2881  355.5000 -60.434439 -0.512  \n",
       "234079    2881  355.5000 -60.434439 -0.512  \n",
       "233947    2880  355.0000 -63.448284 -0.512  \n",
       "207433    2605  211.5000 -60.434439 -0.512  \n",
       "90604     1610  194.0625  -9.594068 -0.512  \n",
       "207423    2605  211.5000 -60.434439 -0.512  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res_out_tab.sort_values('TS', ascending=False).head(64)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get best out of FoV result for each healpix pixel for a certrain time bin\n",
    "bl = np.isclose(res_out_tab['timeID'],max_TSout_timeID)\n",
    "idx = res_out_tab[bl].groupby(['hp_ind'])['TS'].transform(max) == res_out_tab[bl]['TS']\n",
    "res_hpmax_tab = res_out_tab[bl][idx]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 3.27 s, sys: 1.42 ms, total: 3.27 s\n",
      "Wall time: 3.27 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# get fluence for each row of res_hpmax_tab\n",
    "fluncs = np.zeros(len(res_hpmax_tab))\n",
    "flux_pars = {'A':1.0, 'Epeak':1e2, 'gamma':0.5}\n",
    "# for i in range(len(res_peak_maxSq_tab)):\n",
    "i = 0\n",
    "for ind, row in res_hpmax_tab.iterrows():\n",
    "    flux_pars['A'] = row['A']\n",
    "    flux_pars['gamma'] = row['gamma']\n",
    "    flux_pars['Epeak'] = row['Epeak']\n",
    "    fluncs[i] = get_eflux_from_model(flux_mod, flux_pars, 1e1, 1e3)*row['dur']\n",
    "    i+=1\n",
    "res_hpmax_tab['fluence'] = fluncs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>A</th>\n",
       "      <th>Epeak</th>\n",
       "      <th>TS</th>\n",
       "      <th>bkg_nllh</th>\n",
       "      <th>dur</th>\n",
       "      <th>gamma</th>\n",
       "      <th>nllh</th>\n",
       "      <th>phi</th>\n",
       "      <th>theta</th>\n",
       "      <th>time</th>\n",
       "      <th>timeID</th>\n",
       "      <th>hp_ind</th>\n",
       "      <th>ra</th>\n",
       "      <th>dec</th>\n",
       "      <th>dt</th>\n",
       "      <th>fluence</th>\n",
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       "  </thead>\n",
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       "    <tr>\n",
       "      <th>90738</th>\n",
       "      <td>26</td>\n",
       "      <td>0.022549</td>\n",
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       "      <td>1611</td>\n",
       "      <td>196.875000</td>\n",
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       "      <td>0.000003</td>\n",
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       "    <tr>\n",
       "      <th>214774</th>\n",
       "      <td>30</td>\n",
       "      <td>0.016178</td>\n",
       "      <td>398.107171</td>\n",
       "      <td>17.894867</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.4</td>\n",
       "      <td>45879.327226</td>\n",
       "      <td>112.677901</td>\n",
       "      <td>64.787443</td>\n",
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       "      <td>-5122048</td>\n",
       "      <td>2701</td>\n",
       "      <td>202.500000</td>\n",
       "      <td>-48.141208</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
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       "    <tr>\n",
       "      <th>227418</th>\n",
       "      <td>26</td>\n",
       "      <td>0.015754</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.866926</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
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       "      <td>64.258877</td>\n",
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       "      <td>-5122048</td>\n",
       "      <td>2824</td>\n",
       "      <td>285.000000</td>\n",
       "      <td>-81.219822</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
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       "    <tr>\n",
       "      <th>93600</th>\n",
       "      <td>32</td>\n",
       "      <td>0.024452</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.840089</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45880.305961</td>\n",
       "      <td>156.884201</td>\n",
       "      <td>78.620145</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1633</td>\n",
       "      <td>194.062500</td>\n",
       "      <td>-4.780192</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234089</th>\n",
       "      <td>33</td>\n",
       "      <td>0.018177</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.821293</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45880.641119</td>\n",
       "      <td>37.350698</td>\n",
       "      <td>71.161062</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2881</td>\n",
       "      <td>355.500000</td>\n",
       "      <td>-60.434439</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
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       "    <tr>\n",
       "      <th>93999</th>\n",
       "      <td>23</td>\n",
       "      <td>0.022506</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.818541</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45880.690145</td>\n",
       "      <td>160.059037</td>\n",
       "      <td>76.623800</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1636</td>\n",
       "      <td>196.875000</td>\n",
       "      <td>-2.388015</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
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       "    <tr>\n",
       "      <th>94005</th>\n",
       "      <td>29</td>\n",
       "      <td>0.022506</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.818541</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45880.690145</td>\n",
       "      <td>160.059037</td>\n",
       "      <td>76.623800</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1636</td>\n",
       "      <td>196.875000</td>\n",
       "      <td>-2.388015</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233953</th>\n",
       "      <td>33</td>\n",
       "      <td>0.018373</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.808011</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45880.877722</td>\n",
       "      <td>40.533213</td>\n",
       "      <td>70.874880</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2880</td>\n",
       "      <td>355.000000</td>\n",
       "      <td>-63.448284</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90608</th>\n",
       "      <td>32</td>\n",
       "      <td>0.022516</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.806689</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45880.901276</td>\n",
       "      <td>152.154065</td>\n",
       "      <td>77.287722</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1610</td>\n",
       "      <td>194.062500</td>\n",
       "      <td>-9.594068</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201442</th>\n",
       "      <td>26</td>\n",
       "      <td>0.015306</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.802646</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45880.973252</td>\n",
       "      <td>76.323252</td>\n",
       "      <td>63.713755</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2566</td>\n",
       "      <td>236.250000</td>\n",
       "      <td>-78.284148</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207432</th>\n",
       "      <td>32</td>\n",
       "      <td>0.013978</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.779294</td>\n",
       "      <td>46039.440353</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45881.388710</td>\n",
       "      <td>98.171415</td>\n",
       "      <td>61.514280</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2605</td>\n",
       "      <td>211.500000</td>\n",
       "      <td>-60.434439</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90201</th>\n",
       "      <td>33</td>\n",
       "      <td>0.020275</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.771458</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45881.527989</td>\n",
       "      <td>150.474889</td>\n",
       "      <td>73.987217</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1608</td>\n",
       "      <td>196.875000</td>\n",
       "      <td>-12.024699</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207704</th>\n",
       "      <td>32</td>\n",
       "      <td>0.014263</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.766826</td>\n",
       "      <td>46039.440353</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45881.610306</td>\n",
       "      <td>101.915002</td>\n",
       "      <td>62.217269</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2607</td>\n",
       "      <td>208.636364</td>\n",
       "      <td>-57.399524</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213689</th>\n",
       "      <td>33</td>\n",
       "      <td>0.016477</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.759180</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45881.746125</td>\n",
       "      <td>109.151918</td>\n",
       "      <td>63.863046</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2695</td>\n",
       "      <td>204.230769</td>\n",
       "      <td>-51.255807</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213417</th>\n",
       "      <td>33</td>\n",
       "      <td>0.015863</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.751229</td>\n",
       "      <td>46039.440353</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45881.887294</td>\n",
       "      <td>105.569132</td>\n",
       "      <td>63.003823</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2693</td>\n",
       "      <td>206.250000</td>\n",
       "      <td>-54.340912</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82585</th>\n",
       "      <td>33</td>\n",
       "      <td>0.022911</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.731983</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45882.228746</td>\n",
       "      <td>142.295774</td>\n",
       "      <td>74.829386</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1558</td>\n",
       "      <td>194.062500</td>\n",
       "      <td>-19.471221</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94279</th>\n",
       "      <td>31</td>\n",
       "      <td>0.023353</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.724660</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.4</td>\n",
       "      <td>45882.358562</td>\n",
       "      <td>161.536442</td>\n",
       "      <td>80.017266</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1638</td>\n",
       "      <td>194.062500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96997</th>\n",
       "      <td>29</td>\n",
       "      <td>0.025648</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.724416</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45882.362892</td>\n",
       "      <td>169.357543</td>\n",
       "      <td>79.590275</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1656</td>\n",
       "      <td>196.875000</td>\n",
       "      <td>7.180756</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96991</th>\n",
       "      <td>23</td>\n",
       "      <td>0.025648</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.724416</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45882.362892</td>\n",
       "      <td>169.357543</td>\n",
       "      <td>79.590275</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1656</td>\n",
       "      <td>196.875000</td>\n",
       "      <td>7.180756</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206344</th>\n",
       "      <td>32</td>\n",
       "      <td>0.013936</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.724318</td>\n",
       "      <td>46039.440353</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45882.364632</td>\n",
       "      <td>94.314946</td>\n",
       "      <td>60.911427</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2599</td>\n",
       "      <td>215.000000</td>\n",
       "      <td>-63.448284</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82313</th>\n",
       "      <td>33</td>\n",
       "      <td>0.018722</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.722726</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45882.392838</td>\n",
       "      <td>140.282362</td>\n",
       "      <td>71.712146</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1556</td>\n",
       "      <td>196.875000</td>\n",
       "      <td>-22.024313</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97409</th>\n",
       "      <td>33</td>\n",
       "      <td>0.029638</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.721183</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45882.420190</td>\n",
       "      <td>173.992294</td>\n",
       "      <td>81.197402</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1659</td>\n",
       "      <td>196.875000</td>\n",
       "      <td>12.024699</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94416</th>\n",
       "      <td>32</td>\n",
       "      <td>0.023188</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.719617</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45882.447942</td>\n",
       "      <td>164.725582</td>\n",
       "      <td>78.066307</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1639</td>\n",
       "      <td>196.875000</td>\n",
       "      <td>2.388015</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200626</th>\n",
       "      <td>26</td>\n",
       "      <td>0.013873</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.706959</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45882.672161</td>\n",
       "      <td>70.744662</td>\n",
       "      <td>70.936385</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2560</td>\n",
       "      <td>225.000000</td>\n",
       "      <td>-87.075820</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200898</th>\n",
       "      <td>26</td>\n",
       "      <td>0.013819</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.706638</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45882.677835</td>\n",
       "      <td>74.276369</td>\n",
       "      <td>71.048463</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2562</td>\n",
       "      <td>202.500000</td>\n",
       "      <td>-84.149733</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227146</th>\n",
       "      <td>26</td>\n",
       "      <td>0.016936</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.706489</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45882.680481</td>\n",
       "      <td>58.249786</td>\n",
       "      <td>66.022607</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2822</td>\n",
       "      <td>326.250000</td>\n",
       "      <td>-78.284148</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96185</th>\n",
       "      <td>33</td>\n",
       "      <td>0.021857</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.701959</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45882.760686</td>\n",
       "      <td>167.966917</td>\n",
       "      <td>76.164217</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1650</td>\n",
       "      <td>199.687500</td>\n",
       "      <td>4.780192</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226194</th>\n",
       "      <td>26</td>\n",
       "      <td>0.013876</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.701618</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45882.766722</td>\n",
       "      <td>66.375519</td>\n",
       "      <td>70.673000</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2816</td>\n",
       "      <td>315.000000</td>\n",
       "      <td>-87.075820</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110465</th>\n",
       "      <td>33</td>\n",
       "      <td>0.037155</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.686706</td>\n",
       "      <td>46039.440355</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45883.030562</td>\n",
       "      <td>175.399611</td>\n",
       "      <td>84.597367</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1745</td>\n",
       "      <td>194.062500</td>\n",
       "      <td>14.477512</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219530</th>\n",
       "      <td>26</td>\n",
       "      <td>0.014698</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.684729</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45883.065531</td>\n",
       "      <td>125.663590</td>\n",
       "      <td>71.774883</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2733</td>\n",
       "      <td>194.062500</td>\n",
       "      <td>-35.685335</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201714</th>\n",
       "      <td>26</td>\n",
       "      <td>0.013841</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.673480</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45883.264404</td>\n",
       "      <td>77.511839</td>\n",
       "      <td>71.329763</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2568</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>-81.219822</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83663</th>\n",
       "      <td>23</td>\n",
       "      <td>0.021982</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.672674</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45883.278651</td>\n",
       "      <td>147.306261</td>\n",
       "      <td>76.022581</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1565</td>\n",
       "      <td>194.062500</td>\n",
       "      <td>-14.477512</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83669</th>\n",
       "      <td>29</td>\n",
       "      <td>0.021982</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>17.672674</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45883.278651</td>\n",
       "      <td>147.306261</td>\n",
       "      <td>76.022581</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1565</td>\n",
       "      <td>194.062500</td>\n",
       "      <td>-14.477512</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110873</th>\n",
       "      <td>33</td>\n",
       "      <td>0.034760</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.671219</td>\n",
       "      <td>46039.440355</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45883.304370</td>\n",
       "      <td>178.670475</td>\n",
       "      <td>82.891759</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1748</td>\n",
       "      <td>196.875000</td>\n",
       "      <td>16.957763</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215042</th>\n",
       "      <td>26</td>\n",
       "      <td>0.016858</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.669435</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45883.335887</td>\n",
       "      <td>116.159245</td>\n",
       "      <td>65.771661</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2703</td>\n",
       "      <td>201.000000</td>\n",
       "      <td>-44.993880</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91152</th>\n",
       "      <td>32</td>\n",
       "      <td>0.016314</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.665182</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45883.411018</td>\n",
       "      <td>158.526602</td>\n",
       "      <td>73.245685</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1614</td>\n",
       "      <td>199.687500</td>\n",
       "      <td>-4.780192</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206072</th>\n",
       "      <td>32</td>\n",
       "      <td>0.013712</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.664441</td>\n",
       "      <td>46039.440353</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45883.424115</td>\n",
       "      <td>90.314292</td>\n",
       "      <td>60.435224</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2597</td>\n",
       "      <td>219.375000</td>\n",
       "      <td>-66.443536</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227286</th>\n",
       "      <td>30</td>\n",
       "      <td>0.016788</td>\n",
       "      <td>398.107171</td>\n",
       "      <td>17.661864</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.4</td>\n",
       "      <td>45883.469635</td>\n",
       "      <td>54.619968</td>\n",
       "      <td>65.901105</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2823</td>\n",
       "      <td>333.000000</td>\n",
       "      <td>-75.340734</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97137</th>\n",
       "      <td>33</td>\n",
       "      <td>0.023881</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.660025</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45883.502115</td>\n",
       "      <td>172.624396</td>\n",
       "      <td>77.772442</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1657</td>\n",
       "      <td>199.687500</td>\n",
       "      <td>9.594068</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221577</th>\n",
       "      <td>33</td>\n",
       "      <td>0.017807</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.657479</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45883.547064</td>\n",
       "      <td>134.828516</td>\n",
       "      <td>70.733031</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2747</td>\n",
       "      <td>196.875000</td>\n",
       "      <td>-27.279613</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97272</th>\n",
       "      <td>32</td>\n",
       "      <td>0.029812</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.656364</td>\n",
       "      <td>46039.440355</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45883.566761</td>\n",
       "      <td>170.756064</td>\n",
       "      <td>83.004100</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1658</td>\n",
       "      <td>194.062500</td>\n",
       "      <td>9.594068</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201312</th>\n",
       "      <td>32</td>\n",
       "      <td>0.013878</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.656032</td>\n",
       "      <td>46039.440353</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45883.572628</td>\n",
       "      <td>71.819128</td>\n",
       "      <td>61.564067</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2565</td>\n",
       "      <td>258.750000</td>\n",
       "      <td>-78.284148</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111009</th>\n",
       "      <td>33</td>\n",
       "      <td>0.031370</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.654681</td>\n",
       "      <td>46039.440355</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45883.596469</td>\n",
       "      <td>182.007510</td>\n",
       "      <td>81.301582</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1749</td>\n",
       "      <td>199.687500</td>\n",
       "      <td>19.471221</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111274</th>\n",
       "      <td>26</td>\n",
       "      <td>0.030810</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.654131</td>\n",
       "      <td>46039.440355</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45883.606176</td>\n",
       "      <td>180.122614</td>\n",
       "      <td>86.262793</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1750</td>\n",
       "      <td>194.062500</td>\n",
       "      <td>19.471221</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5330</th>\n",
       "      <td>26</td>\n",
       "      <td>0.014785</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.646472</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45883.741365</td>\n",
       "      <td>2.714378</td>\n",
       "      <td>74.251928</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1035</td>\n",
       "      <td>354.375000</td>\n",
       "      <td>-27.279613</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213138</th>\n",
       "      <td>26</td>\n",
       "      <td>0.013722</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.646428</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45883.742144</td>\n",
       "      <td>102.714102</td>\n",
       "      <td>70.981796</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2691</td>\n",
       "      <td>192.272727</td>\n",
       "      <td>-57.399524</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213954</th>\n",
       "      <td>26</td>\n",
       "      <td>0.014020</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.644468</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45883.776725</td>\n",
       "      <td>105.903057</td>\n",
       "      <td>71.726299</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2697</td>\n",
       "      <td>191.250000</td>\n",
       "      <td>-54.340912</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202401</th>\n",
       "      <td>33</td>\n",
       "      <td>0.016294</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.642649</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45883.808830</td>\n",
       "      <td>80.664535</td>\n",
       "      <td>63.572538</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2572</td>\n",
       "      <td>225.000000</td>\n",
       "      <td>-75.340734</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111417</th>\n",
       "      <td>33</td>\n",
       "      <td>0.036885</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.639630</td>\n",
       "      <td>46039.440355</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45883.862078</td>\n",
       "      <td>183.439075</td>\n",
       "      <td>84.680292</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1751</td>\n",
       "      <td>196.875000</td>\n",
       "      <td>22.024313</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83536</th>\n",
       "      <td>32</td>\n",
       "      <td>0.023176</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.639439</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45883.865457</td>\n",
       "      <td>144.148070</td>\n",
       "      <td>78.025022</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1564</td>\n",
       "      <td>191.250000</td>\n",
       "      <td>-16.957763</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218442</th>\n",
       "      <td>26</td>\n",
       "      <td>0.014168</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.636438</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45883.918377</td>\n",
       "      <td>119.253196</td>\n",
       "      <td>70.990655</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2726</td>\n",
       "      <td>194.062500</td>\n",
       "      <td>-41.810315</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4922</th>\n",
       "      <td>26</td>\n",
       "      <td>0.013856</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.633867</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45883.963713</td>\n",
       "      <td>8.362066</td>\n",
       "      <td>73.226902</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1032</td>\n",
       "      <td>354.375000</td>\n",
       "      <td>-32.797168</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83943</th>\n",
       "      <td>31</td>\n",
       "      <td>0.021830</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.632867</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.4</td>\n",
       "      <td>45883.981353</td>\n",
       "      <td>149.008366</td>\n",
       "      <td>79.300602</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1567</td>\n",
       "      <td>191.250000</td>\n",
       "      <td>-12.024699</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81905</th>\n",
       "      <td>33</td>\n",
       "      <td>0.020846</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.623075</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45884.153975</td>\n",
       "      <td>137.068590</td>\n",
       "      <td>73.715451</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1553</td>\n",
       "      <td>194.062500</td>\n",
       "      <td>-24.624318</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201170</th>\n",
       "      <td>26</td>\n",
       "      <td>0.015987</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.622763</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45884.159470</td>\n",
       "      <td>71.516185</td>\n",
       "      <td>64.560931</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2564</td>\n",
       "      <td>255.000000</td>\n",
       "      <td>-81.219822</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202808</th>\n",
       "      <td>32</td>\n",
       "      <td>0.013461</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.622139</td>\n",
       "      <td>46039.440353</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45884.170462</td>\n",
       "      <td>86.126710</td>\n",
       "      <td>60.130669</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2575</td>\n",
       "      <td>225.000000</td>\n",
       "      <td>-69.422546</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97950</th>\n",
       "      <td>30</td>\n",
       "      <td>0.026343</td>\n",
       "      <td>398.107171</td>\n",
       "      <td>17.621523</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45884.181314</td>\n",
       "      <td>177.290341</td>\n",
       "      <td>79.482901</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1662</td>\n",
       "      <td>199.687500</td>\n",
       "      <td>14.477512</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202122</th>\n",
       "      <td>26</td>\n",
       "      <td>0.013896</td>\n",
       "      <td>251.188643</td>\n",
       "      <td>17.617455</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45884.252998</td>\n",
       "      <td>80.664002</td>\n",
       "      <td>71.673904</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2570</td>\n",
       "      <td>191.250000</td>\n",
       "      <td>-78.284148</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219401</th>\n",
       "      <td>33</td>\n",
       "      <td>0.019670</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.605445</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45884.464515</td>\n",
       "      <td>122.205606</td>\n",
       "      <td>73.536951</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2732</td>\n",
       "      <td>191.250000</td>\n",
       "      <td>-38.682187</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229329</th>\n",
       "      <td>33</td>\n",
       "      <td>0.018188</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.604441</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45884.482181</td>\n",
       "      <td>43.708362</td>\n",
       "      <td>70.640281</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2837</td>\n",
       "      <td>354.375000</td>\n",
       "      <td>-66.443536</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212737</th>\n",
       "      <td>33</td>\n",
       "      <td>0.023869</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.604097</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.4</td>\n",
       "      <td>45884.488246</td>\n",
       "      <td>99.512328</td>\n",
       "      <td>70.283404</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2689</td>\n",
       "      <td>193.500000</td>\n",
       "      <td>-60.434439</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335545</th>\n",
       "      <td>33</td>\n",
       "      <td>0.036630</td>\n",
       "      <td>630.957344</td>\n",
       "      <td>17.595185</td>\n",
       "      <td>46039.440355</td>\n",
       "      <td>2.048</td>\n",
       "      <td>2.4</td>\n",
       "      <td>45884.645089</td>\n",
       "      <td>273.515344</td>\n",
       "      <td>77.363751</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>963</td>\n",
       "      <td>315.000000</td>\n",
       "      <td>51.255807</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203624</th>\n",
       "      <td>32</td>\n",
       "      <td>0.012494</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.594143</td>\n",
       "      <td>46039.440353</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.6</td>\n",
       "      <td>45884.663423</td>\n",
       "      <td>72.844240</td>\n",
       "      <td>52.650302</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>2580</td>\n",
       "      <td>263.571429</td>\n",
       "      <td>-69.422546</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82721</th>\n",
       "      <td>33</td>\n",
       "      <td>0.018589</td>\n",
       "      <td>1584.893192</td>\n",
       "      <td>17.591670</td>\n",
       "      <td>46039.440354</td>\n",
       "      <td>2.048</td>\n",
       "      <td>1.8</td>\n",
       "      <td>45884.706921</td>\n",
       "      <td>145.477965</td>\n",
       "      <td>72.800853</td>\n",
       "      <td>6.460184e+08</td>\n",
       "      <td>-5122048</td>\n",
       "      <td>1559</td>\n",
       "      <td>196.875000</td>\n",
       "      <td>-16.957763</td>\n",
       "      <td>-0.512</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Unnamed: 0         A        Epeak         TS      bkg_nllh    dur  \\\n",
       "90738           26  0.022549   630.957344  17.930498  46039.440354  2.048   \n",
       "214774          30  0.016178   398.107171  17.894867  46039.440354  2.048   \n",
       "227418          26  0.015754   251.188643  17.866926  46039.440354  2.048   \n",
       "93600           32  0.024452  1584.893192  17.840089  46039.440354  2.048   \n",
       "234089          33  0.018177   630.957344  17.821293  46039.440354  2.048   \n",
       "93999           23  0.022506  1000.000000  17.818541  46039.440354  2.048   \n",
       "94005           29  0.022506  1000.000000  17.818541  46039.440354  2.048   \n",
       "233953          33  0.018373   630.957344  17.808011  46039.440354  2.048   \n",
       "90608           32  0.022516  1584.893192  17.806689  46039.440354  2.048   \n",
       "201442          26  0.015306   251.188643  17.802646  46039.440354  2.048   \n",
       "207432          32  0.013978  1584.893192  17.779294  46039.440353  2.048   \n",
       "90201           33  0.020275  1584.893192  17.771458  46039.440354  2.048   \n",
       "207704          32  0.014263  1584.893192  17.766826  46039.440353  2.048   \n",
       "213689          33  0.016477  1584.893192  17.759180  46039.440354  2.048   \n",
       "213417          33  0.015863  1584.893192  17.751229  46039.440353  2.048   \n",
       "82585           33  0.022911   630.957344  17.731983  46039.440354  2.048   \n",
       "94279           31  0.023353  1584.893192  17.724660  46039.440354  2.048   \n",
       "96997           29  0.025648  1000.000000  17.724416  46039.440354  2.048   \n",
       "96991           23  0.025648  1000.000000  17.724416  46039.440354  2.048   \n",
       "206344          32  0.013936  1584.893192  17.724318  46039.440353  2.048   \n",
       "82313           33  0.018722   630.957344  17.722726  46039.440354  2.048   \n",
       "97409           33  0.029638   630.957344  17.721183  46039.440354  2.048   \n",
       "94416           32  0.023188  1584.893192  17.719617  46039.440354  2.048   \n",
       "200626          26  0.013873   251.188643  17.706959  46039.440354  2.048   \n",
       "200898          26  0.013819   251.188643  17.706638  46039.440354  2.048   \n",
       "227146          26  0.016936   251.188643  17.706489  46039.440354  2.048   \n",
       "96185           33  0.021857  1584.893192  17.701959  46039.440354  2.048   \n",
       "226194          26  0.013876   251.188643  17.701618  46039.440354  2.048   \n",
       "110465          33  0.037155   630.957344  17.686706  46039.440355  2.048   \n",
       "219530          26  0.014698   251.188643  17.684729  46039.440354  2.048   \n",
       "201714          26  0.013841   251.188643  17.673480  46039.440354  2.048   \n",
       "83663           23  0.021982  1000.000000  17.672674  46039.440354  2.048   \n",
       "83669           29  0.021982  1000.000000  17.672674  46039.440354  2.048   \n",
       "110873          33  0.034760   251.188643  17.671219  46039.440355  2.048   \n",
       "215042          26  0.016858   251.188643  17.669435  46039.440354  2.048   \n",
       "91152           32  0.016314  1584.893192  17.665182  46039.440354  2.048   \n",
       "206072          32  0.013712  1584.893192  17.664441  46039.440353  2.048   \n",
       "227286          30  0.016788   398.107171  17.661864  46039.440354  2.048   \n",
       "97137           33  0.023881   630.957344  17.660025  46039.440354  2.048   \n",
       "221577          33  0.017807   630.957344  17.657479  46039.440354  2.048   \n",
       "97272           32  0.029812  1584.893192  17.656364  46039.440355  2.048   \n",
       "201312          32  0.013878  1584.893192  17.656032  46039.440353  2.048   \n",
       "111009          33  0.031370   251.188643  17.654681  46039.440355  2.048   \n",
       "111274          26  0.030810   251.188643  17.654131  46039.440355  2.048   \n",
       "5330            26  0.014785   251.188643  17.646472  46039.440354  2.048   \n",
       "213138          26  0.013722   251.188643  17.646428  46039.440354  2.048   \n",
       "213954          26  0.014020   251.188643  17.644468  46039.440354  2.048   \n",
       "202401          33  0.016294  1584.893192  17.642649  46039.440354  2.048   \n",
       "111417          33  0.036885   630.957344  17.639630  46039.440355  2.048   \n",
       "83536           32  0.023176  1584.893192  17.639439  46039.440354  2.048   \n",
       "218442          26  0.014168   251.188643  17.636438  46039.440354  2.048   \n",
       "4922            26  0.013856   251.188643  17.633867  46039.440354  2.048   \n",
       "83943           31  0.021830  1584.893192  17.632867  46039.440354  2.048   \n",
       "81905           33  0.020846   630.957344  17.623075  46039.440354  2.048   \n",
       "201170          26  0.015987   251.188643  17.622763  46039.440354  2.048   \n",
       "202808          32  0.013461  1584.893192  17.622139  46039.440353  2.048   \n",
       "97950           30  0.026343   398.107171  17.621523  46039.440354  2.048   \n",
       "202122          26  0.013896   251.188643  17.617455  46039.440354  2.048   \n",
       "219401          33  0.019670   630.957344  17.605445  46039.440354  2.048   \n",
       "229329          33  0.018188   630.957344  17.604441  46039.440354  2.048   \n",
       "212737          33  0.023869   630.957344  17.604097  46039.440354  2.048   \n",
       "335545          33  0.036630   630.957344  17.595185  46039.440355  2.048   \n",
       "203624          32  0.012494  1584.893192  17.594143  46039.440353  2.048   \n",
       "82721           33  0.018589  1584.893192  17.591670  46039.440354  2.048   \n",
       "\n",
       "        gamma          nllh         phi      theta          time   timeID  \\\n",
       "90738     1.6  45878.688970  155.321410  75.263221  6.460184e+08 -5122048   \n",
       "214774    2.4  45879.327226  112.677901  64.787443  6.460184e+08 -5122048   \n",
       "227418    2.2  45879.826837   66.506182  64.258877  6.460184e+08 -5122048   \n",
       "93600     1.6  45880.305961  156.884201  78.620145  6.460184e+08 -5122048   \n",
       "234089    1.8  45880.641119   37.350698  71.161062  6.460184e+08 -5122048   \n",
       "93999     1.6  45880.690145  160.059037  76.623800  6.460184e+08 -5122048   \n",
       "94005     1.6  45880.690145  160.059037  76.623800  6.460184e+08 -5122048   \n",
       "233953    1.8  45880.877722   40.533213  70.874880  6.460184e+08 -5122048   \n",
       "90608     1.6  45880.901276  152.154065  77.287722  6.460184e+08 -5122048   \n",
       "201442    2.2  45880.973252   76.323252  63.713755  6.460184e+08 -5122048   \n",
       "207432    1.6  45881.388710   98.171415  61.514280  6.460184e+08 -5122048   \n",
       "90201     1.8  45881.527989  150.474889  73.987217  6.460184e+08 -5122048   \n",
       "207704    1.6  45881.610306  101.915002  62.217269  6.460184e+08 -5122048   \n",
       "213689    1.8  45881.746125  109.151918  63.863046  6.460184e+08 -5122048   \n",
       "213417    1.8  45881.887294  105.569132  63.003823  6.460184e+08 -5122048   \n",
       "82585     1.8  45882.228746  142.295774  74.829386  6.460184e+08 -5122048   \n",
       "94279     1.4  45882.358562  161.536442  80.017266  6.460184e+08 -5122048   \n",
       "96997     1.6  45882.362892  169.357543  79.590275  6.460184e+08 -5122048   \n",
       "96991     1.6  45882.362892  169.357543  79.590275  6.460184e+08 -5122048   \n",
       "206344    1.6  45882.364632   94.314946  60.911427  6.460184e+08 -5122048   \n",
       "82313     1.8  45882.392838  140.282362  71.712146  6.460184e+08 -5122048   \n",
       "97409     1.8  45882.420190  173.992294  81.197402  6.460184e+08 -5122048   \n",
       "94416     1.6  45882.447942  164.725582  78.066307  6.460184e+08 -5122048   \n",
       "200626    2.2  45882.672161   70.744662  70.936385  6.460184e+08 -5122048   \n",
       "200898    2.2  45882.677835   74.276369  71.048463  6.460184e+08 -5122048   \n",
       "227146    2.2  45882.680481   58.249786  66.022607  6.460184e+08 -5122048   \n",
       "96185     1.8  45882.760686  167.966917  76.164217  6.460184e+08 -5122048   \n",
       "226194    2.2  45882.766722   66.375519  70.673000  6.460184e+08 -5122048   \n",
       "110465    1.8  45883.030562  175.399611  84.597367  6.460184e+08 -5122048   \n",
       "219530    2.2  45883.065531  125.663590  71.774883  6.460184e+08 -5122048   \n",
       "201714    2.2  45883.264404   77.511839  71.329763  6.460184e+08 -5122048   \n",
       "83663     1.6  45883.278651  147.306261  76.022581  6.460184e+08 -5122048   \n",
       "83669     1.6  45883.278651  147.306261  76.022581  6.460184e+08 -5122048   \n",
       "110873    1.8  45883.304370  178.670475  82.891759  6.460184e+08 -5122048   \n",
       "215042    2.2  45883.335887  116.159245  65.771661  6.460184e+08 -5122048   \n",
       "91152     1.6  45883.411018  158.526602  73.245685  6.460184e+08 -5122048   \n",
       "206072    1.6  45883.424115   90.314292  60.435224  6.460184e+08 -5122048   \n",
       "227286    2.4  45883.469635   54.619968  65.901105  6.460184e+08 -5122048   \n",
       "97137     1.8  45883.502115  172.624396  77.772442  6.460184e+08 -5122048   \n",
       "221577    1.8  45883.547064  134.828516  70.733031  6.460184e+08 -5122048   \n",
       "97272     1.6  45883.566761  170.756064  83.004100  6.460184e+08 -5122048   \n",
       "201312    1.6  45883.572628   71.819128  61.564067  6.460184e+08 -5122048   \n",
       "111009    1.8  45883.596469  182.007510  81.301582  6.460184e+08 -5122048   \n",
       "111274    2.2  45883.606176  180.122614  86.262793  6.460184e+08 -5122048   \n",
       "5330      2.2  45883.741365    2.714378  74.251928  6.460184e+08 -5122048   \n",
       "213138    2.2  45883.742144  102.714102  70.981796  6.460184e+08 -5122048   \n",
       "213954    2.2  45883.776725  105.903057  71.726299  6.460184e+08 -5122048   \n",
       "202401    1.8  45883.808830   80.664535  63.572538  6.460184e+08 -5122048   \n",
       "111417    1.8  45883.862078  183.439075  84.680292  6.460184e+08 -5122048   \n",
       "83536     1.6  45883.865457  144.148070  78.025022  6.460184e+08 -5122048   \n",
       "218442    2.2  45883.918377  119.253196  70.990655  6.460184e+08 -5122048   \n",
       "4922      2.2  45883.963713    8.362066  73.226902  6.460184e+08 -5122048   \n",
       "83943     1.4  45883.981353  149.008366  79.300602  6.460184e+08 -5122048   \n",
       "81905     1.8  45884.153975  137.068590  73.715451  6.460184e+08 -5122048   \n",
       "201170    2.2  45884.159470   71.516185  64.560931  6.460184e+08 -5122048   \n",
       "202808    1.6  45884.170462   86.126710  60.130669  6.460184e+08 -5122048   \n",
       "97950     1.8  45884.181314  177.290341  79.482901  6.460184e+08 -5122048   \n",
       "202122    2.2  45884.252998   80.664002  71.673904  6.460184e+08 -5122048   \n",
       "219401    1.8  45884.464515  122.205606  73.536951  6.460184e+08 -5122048   \n",
       "229329    1.8  45884.482181   43.708362  70.640281  6.460184e+08 -5122048   \n",
       "212737    2.4  45884.488246   99.512328  70.283404  6.460184e+08 -5122048   \n",
       "335545    2.4  45884.645089  273.515344  77.363751  6.460184e+08 -5122048   \n",
       "203624    1.6  45884.663423   72.844240  52.650302  6.460184e+08 -5122048   \n",
       "82721     1.8  45884.706921  145.477965  72.800853  6.460184e+08 -5122048   \n",
       "\n",
       "        hp_ind          ra        dec     dt   fluence  \n",
       "90738     1611  196.875000  -7.180756 -0.512  0.000003  \n",
       "214774    2701  202.500000 -48.141208 -0.512  0.000003  \n",
       "227418    2824  285.000000 -81.219822 -0.512  0.000003  \n",
       "93600     1633  194.062500  -4.780192 -0.512  0.000004  \n",
       "234089    2881  355.500000 -60.434439 -0.512  0.000003  \n",
       "93999     1636  196.875000  -2.388015 -0.512  0.000003  \n",
       "94005     1636  196.875000  -2.388015 -0.512  0.000003  \n",
       "233953    2880  355.000000 -63.448284 -0.512  0.000003  \n",
       "90608     1610  194.062500  -9.594068 -0.512  0.000004  \n",
       "201442    2566  236.250000 -78.284148 -0.512  0.000003  \n",
       "207432    2605  211.500000 -60.434439 -0.512  0.000002  \n",
       "90201     1608  196.875000 -12.024699 -0.512  0.000003  \n",
       "207704    2607  208.636364 -57.399524 -0.512  0.000002  \n",
       "213689    2695  204.230769 -51.255807 -0.512  0.000002  \n",
       "213417    2693  206.250000 -54.340912 -0.512  0.000002  \n",
       "82585     1558  194.062500 -19.471221 -0.512  0.000003  \n",
       "94279     1638  194.062500   0.000000 -0.512  0.000004  \n",
       "96997     1656  196.875000   7.180756 -0.512  0.000004  \n",
       "96991     1656  196.875000   7.180756 -0.512  0.000004  \n",
       "206344    2599  215.000000 -63.448284 -0.512  0.000002  \n",
       "82313     1556  196.875000 -22.024313 -0.512  0.000003  \n",
       "97409     1659  196.875000  12.024699 -0.512  0.000004  \n",
       "94416     1639  196.875000   2.388015 -0.512  0.000004  \n",
       "200626    2560  225.000000 -87.075820 -0.512  0.000003  \n",
       "200898    2562  202.500000 -84.149733 -0.512  0.000003  \n",
       "227146    2822  326.250000 -78.284148 -0.512  0.000003  \n",
       "96185     1650  199.687500   4.780192 -0.512  0.000003  \n",
       "226194    2816  315.000000 -87.075820 -0.512  0.000003  \n",
       "110465    1745  194.062500  14.477512 -0.512  0.000005  \n",
       "219530    2733  194.062500 -35.685335 -0.512  0.000003  \n",
       "201714    2568  195.000000 -81.219822 -0.512  0.000003  \n",
       "83663     1565  194.062500 -14.477512 -0.512  0.000003  \n",
       "83669     1565  194.062500 -14.477512 -0.512  0.000003  \n",
       "110873    1748  196.875000  16.957763 -0.512  0.000004  \n",
       "215042    2703  201.000000 -44.993880 -0.512  0.000003  \n",
       "91152     1614  199.687500  -4.780192 -0.512  0.000003  \n",
       "206072    2597  219.375000 -66.443536 -0.512  0.000002  \n",
       "227286    2823  333.000000 -75.340734 -0.512  0.000003  \n",
       "97137     1657  199.687500   9.594068 -0.512  0.000003  \n",
       "221577    2747  196.875000 -27.279613 -0.512  0.000003  \n",
       "97272     1658  194.062500   9.594068 -0.512  0.000005  \n",
       "201312    2565  258.750000 -78.284148 -0.512  0.000002  \n",
       "111009    1749  199.687500  19.471221 -0.512  0.000004  \n",
       "111274    1750  194.062500  19.471221 -0.512  0.000006  \n",
       "5330      1035  354.375000 -27.279613 -0.512  0.000003  \n",
       "213138    2691  192.272727 -57.399524 -0.512  0.000002  \n",
       "213954    2697  191.250000 -54.340912 -0.512  0.000003  \n",
       "202401    2572  225.000000 -75.340734 -0.512  0.000002  \n",
       "111417    1751  196.875000  22.024313 -0.512  0.000005  \n",
       "83536     1564  191.250000 -16.957763 -0.512  0.000004  \n",
       "218442    2726  194.062500 -41.810315 -0.512  0.000003  \n",
       "4922      1032  354.375000 -32.797168 -0.512  0.000003  \n",
       "83943     1567  191.250000 -12.024699 -0.512  0.000004  \n",
       "81905     1553  194.062500 -24.624318 -0.512  0.000003  \n",
       "201170    2564  255.000000 -81.219822 -0.512  0.000003  \n",
       "202808    2575  225.000000 -69.422546 -0.512  0.000002  \n",
       "97950     1662  199.687500  14.477512 -0.512  0.000004  \n",
       "202122    2570  191.250000 -78.284148 -0.512  0.000003  \n",
       "219401    2732  191.250000 -38.682187 -0.512  0.000003  \n",
       "229329    2837  354.375000 -66.443536 -0.512  0.000003  \n",
       "212737    2689  193.500000 -60.434439 -0.512  0.000005  \n",
       "335545     963  315.000000  51.255807 -0.512  0.000007  \n",
       "203624    2580  263.571429 -69.422546 -0.512  0.000002  \n",
       "82721     1559  196.875000 -16.957763 -0.512  0.000003  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res_hpmax_tab.sort_values('TS', ascending=False).head(64)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_dlogl_peak_out(res_peak_tab, res_out_tab):\n",
    "    '''\n",
    "    returns DeltaLLH_peak and DeltaLLH_out for the time bin with the max TS\n",
    "    '''\n",
    "    \n",
    "    idx = res_peak_tab['TS'].idxmax()\n",
    "    row = res_peak_tab.loc[idx]\n",
    "    \n",
    "    timeID = row['timeID']\n",
    "    imdists = im_dist(row['imx'], row['imy'], res_peak_tab['imx'], res_peak_tab['imy'])\n",
    "    bld = (imdists>0.012)&(res_peak_tab['timeID']==timeID)\n",
    "    \n",
    "    dlogl_peak = np.nanmin(res_peak_tab[bld]['nllh']) - row['nllh']\n",
    "    \n",
    "    blo = (res_out_tab['timeID']==timeID)\n",
    "    \n",
    "    dlogl_out = np.nanmin(res_out_tab[blo]['nllh']) - row['nllh']\n",
    "    \n",
    "    return dlogl_peak, dlogl_out\n",
    "\n",
    "def get_dlogls_inout(res_tab, res_out_tab):\n",
    "    '''\n",
    "    returns DeltaLLH_peak, DeltaLLH_out, timeID for each time bin\n",
    "    '''\n",
    "    \n",
    "    dlogls = []\n",
    "    dlogls_in_out = []\n",
    "    timeIDs = []\n",
    "    for timeID, df in res_tab.groupby('timeID'):\n",
    "        idx = df['TS'].idxmax()\n",
    "        row = df.loc[idx]\n",
    "        imdists = im_dist(row['imx'], row['imy'], df['imx'], df['imy'])\n",
    "        bld = (imdists>0.012)\n",
    "        try:\n",
    "            dlogls.append(np.nanmin(df[bld]['nllh']) - row['nllh'])\n",
    "        except Exception as E:\n",
    "            print(E)\n",
    "            dlogls.append(np.nan)\n",
    "        blo = np.isclose(res_out_tab['timeID'],timeID,rtol=1e-9,atol=1e-3)\n",
    "        dlogls_in_out.append(np.nanmin(res_out_tab[blo]['nllh']) - row['nllh'])\n",
    "        timeIDs.append(timeID)\n",
    "    return dlogls, dlogls_in_out, timeIDs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\\Delta LLH_peak = 13.408\n",
      "\\Delta LLH_out = 17.664\n"
     ]
    }
   ],
   "source": [
    "dlogl_peak, dlogl_out = get_dlogl_peak_out(res_peak_tab, res_out_tab)\n",
    "print(\"\\Delta LLH_peak = %.3f\"%(dlogl_peak))\n",
    "print(\"\\Delta LLH_out = %.3f\"%(dlogl_out))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "timeID = -5122048\n",
      "\\Delta LLH_peak = 13.408\n",
      "\\Delta LLH_out = 17.664\n",
      "\n",
      "timeID = -2561024\n",
      "\\Delta LLH_peak = 0.842\n",
      "\\Delta LLH_out = 7.147\n",
      "\n",
      "timeID = 1024\n",
      "\\Delta LLH_peak = 0.449\n",
      "\\Delta LLH_out = 2.511\n",
      "\n",
      "timeID = 2561024\n",
      "\\Delta LLH_peak = 0.341\n",
      "\\Delta LLH_out = 4.529\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# %%time\n",
    "dlogls_peak, dlogls_out, list_timeIDs = get_dlogls_inout(res_peak_tab, res_out_tab)\n",
    "for i in range(len(list_timeIDs)):\n",
    "    print \"timeID = %d\"%(list_timeIDs[i])\n",
    "    print \"\\Delta LLH_peak = %.3f\"%(dlogls_peak[i])\n",
    "    print \"\\Delta LLH_out = %.3f\"%(dlogls_out[i])\n",
    "    print"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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