{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "HELPid=\"HELP_J095741.11+020226.47\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import argparse\n",
    "from itertools import product, repeat\n",
    "from collections import OrderedDict\n",
    "import sys\n",
    "\n",
    "from astropy.table import Table\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import multiprocessing as mp\n",
    "import numpy as np\n",
    "import os\n",
    "import pkg_resources\n",
    "from pcigale.data import Database\n",
    "from scipy.constants import c\n",
    "from scipy import stats\n",
    "from pcigale.utils import read_table\n",
    "import matplotlib.gridspec as gridspec\n",
    "from scipy.stats import chisquare\n",
    "from math import log10\n",
    "\n",
    "# Name of the file containing the best models information\n",
    "BEST_RESULTS = \"results.fits\"\n",
    "# Wavelength limits (restframe) when plotting the best SED.\n",
    "PLOT_L_MIN = 0.1\n",
    "PLOT_L_MAX = 5e5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " HELP_J095741.11+020226.47 at z = 1.49\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhwAAAEbCAYAAACRE11ZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fdf63d66be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sed = Table.read(\"{}_best_model.fits\".format(HELPid))\n",
    "obs = Table.read(\"part_0.fits\")\n",
    "mod=Table.read(BEST_RESULTS)\n",
    "\n",
    "wavelength_spec = sed['wavelength']\n",
    "z = obs[obs['id'] == HELPid]['redshift'][0]\n",
    "DL = mod[obs['id'] == HELPid]['best.universe.luminosity_distance'][0]\n",
    "\n",
    "\n",
    "obs_fluxes, obs_fluxes_err,filters_wl,mask_ok,mod_fluxes=[],[],[],[],[]\n",
    "del obs_fluxes[:]\n",
    "del obs_fluxes_err[:]\n",
    "del filters_wl[:]\n",
    "del mask_ok[:]\n",
    "del mod_fluxes[:]\n",
    "\n",
    "filters = [item for item in obs.colnames if item not in ('id', 'redshift') and not item.endswith('_err')]\n",
    "filters_err = [item for item in obs.colnames if item not in ('id', 'redshift') and item.endswith('_err')]\n",
    "\n",
    "for filt in filters:\n",
    "    obs_fluxes.append(obs[obs['id'] == HELPid][filt][0])\n",
    "obs_fluxes=np.array(obs_fluxes)\n",
    "\n",
    "for filt in filters_err:\n",
    "    obs_fluxes_err.append(obs[obs['id'] == HELPid][filt][0])\n",
    "\n",
    "for filt in filters:\n",
    "    mod_fluxes.append(mod[mod['id'] == HELPid][\"best.\"+filt][0])\n",
    "\n",
    "with Database() as db:\n",
    "    for name in filters:\n",
    "        tmp = db.get_filter(name)\n",
    "        filters_wl.append(tmp.effective_wavelength/1000.0)\n",
    "\n",
    "xmin = PLOT_L_MIN * (1. + z)\n",
    "xmax = PLOT_L_MAX * (1. + z)\n",
    "\n",
    "k_corr_SED = 1.    \n",
    "\n",
    "for cname in sed.colnames[1:]:\n",
    "    sed[cname] *= (wavelength_spec * 1e29 /  (c / (wavelength_spec * 1e-9)) / (4. * np.pi * DL * DL))\n",
    "\n",
    "wavelength_spec /= 1000.\n",
    "\n",
    "wsed = np.where((wavelength_spec > xmin) & (wavelength_spec < xmax))\n",
    "\n",
    "obs_fluxes=np.array(obs_fluxes)\n",
    "obs_fluxes_err=np.array(obs_fluxes_err)\n",
    "filters=np.array(filters)\n",
    "filters_wl=np.array(filters_wl)\n",
    "mod_fluxes=np.array(mod_fluxes)\n",
    "\n",
    "plt.close('all')\n",
    "\n",
    "figure = plt.figure()\n",
    "gs = gridspec.GridSpec(2, 1, height_ratios=[3, 1])\n",
    "if (sed.columns[1][wsed] > 0.).any():\n",
    "    ax1 = plt.subplot(gs[0])\n",
    "    ax1.loglog(wavelength_spec[wsed], sed['L_lambda_total'][wsed],\n",
    "                       label=\"\", color='white', nonposy='clip',\n",
    "                       linestyle='-', linewidth=0)\n",
    "     \n",
    "    mask_ok = np.logical_and(obs_fluxes > 0., obs_fluxes_err > 0.)\n",
    "\n",
    "    ax1.errorbar(filters_wl[mask_ok], obs_fluxes[mask_ok],\n",
    "                         yerr=obs_fluxes_err[mask_ok]*3, ls='', marker='s',\n",
    "                         label='Observed fluxes', markerfacecolor='None',\n",
    "                         markersize=6, markeredgecolor='b', capsize=0.)\n",
    "\n",
    "    mask = np.where(obs_fluxes > 0.)\n",
    " \n",
    "    figure.subplots_adjust(hspace=0., wspace=0.)\n",
    "\n",
    "    ax1.set_xlim(xmin, xmax)\n",
    "    ymin = min(np.min(obs_fluxes[mask_ok]),\n",
    "                       np.min(mod_fluxes[mask_ok]))\n",
    "    ymax = max(np.max(obs_fluxes[mask_ok]),\n",
    "                           np.max(mod_fluxes[mask_ok]))\n",
    "    ax1.set_ylim(1e-1*ymin, 1e1*ymax)\n",
    "\n",
    "    ax1.set_xlabel(\"Observed wavelength [$\\mu$m]\")\n",
    "    ax1.set_ylabel(\"Flux [mJy]\")\n",
    "    ax1.legend(fontsize=6, loc='best', fancybox=True, framealpha=0.5)\n",
    "    plt.setp(ax1.get_xticklabels(), visible=False)\n",
    "    plt.setp(ax1.get_yticklabels()[1], visible=False)\n",
    "    \n",
    "    print(\" {} at z = {:.2f}\". format(HELPid, z))\n",
    "   \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "####################################################################################################################\n",
    "\n",
    "### MAIN BEST RESULTS FOR STELLAR PART OF THE SPECTRA AND ATTENUATION:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "stellar mass: 10.95 [stellar mass]\n",
      "V-band attenuation in the birth clouds: 4.00 \n",
      "attenuation in FUV band: 6.09 [mag]\n",
      "attenuation in V band: 2.22 [mag]\n"
     ]
    }
   ],
   "source": [
    "print(\"stellar mass: {:.2f} [stellar mass]\".format(log10(mod[obs['id'] == HELPid]['best.stellar.m_star'][0])))\n",
    "print(\"V-band attenuation in the birth clouds: {:.2f} \".format((mod[obs['id'] == HELPid]['best.attenuation.Av_BC'][0])))\n",
    "print(\"attenuation in FUV band: {:.2f} [mag]\".format((mod[obs['id'] == HELPid]['best.attenuation.FUV'][0])))\n",
    "print(\"attenuation in V band: {:.2f} [mag]\".format((mod[obs['id'] == HELPid]['best.attenuation.V_B90'][0])))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Below on the plot stellar components (attenuated and unattenuated) are plotted against observed fluxes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best model for HELP_J095741.11+020226.47 at z = 1.49. best log(Mstar) = 10.95\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhwAAAEFCAYAAACozz6yAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/QYcridl8DiWzAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fdf2c95fef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if (sed.columns[1][wsed] > 0.).any():\n",
    "    ax1 = plt.subplot(gs[0])\n",
    "    ax1.loglog(wavelength_spec[wsed], (sed['stellar.young'][wsed] + sed['attenuation.stellar.young'][wsed] + \n",
    "               sed['stellar.old'][wsed] + sed['attenuation.stellar.old'][wsed]), \n",
    "               label=\"Stellar attenuated \", color='orange', marker=None, nonposy='clip', linestyle='-', linewidth=0.5)\n",
    "    ax1.loglog(wavelength_spec[wsed], (sed['stellar.old'][wsed] +  sed['stellar.young'][wsed]), \n",
    "               label=\"Stellar unattenuated\", color='b', marker=None, nonposy='clip', linestyle='--', linewidth=0.5)\n",
    "    ax1.loglog(wavelength_spec[wsed], sed['L_lambda_total'][wsed], label=\" \", color='white', nonposy='clip', \n",
    "               linestyle='-', linewidth=0)\n",
    "\n",
    "    ax1.set_autoscale_on(False)\n",
    "    mask_ok = np.logical_and(obs_fluxes > 0., obs_fluxes_err > 0.)\n",
    "    ax1.errorbar(filters_wl[mask_ok], obs_fluxes[mask_ok], yerr=obs_fluxes_err[mask_ok]*3, ls='', marker='s', \n",
    "                 label='Observed fluxes', markerfacecolor='None',markersize=6, markeredgecolor='b', capsize=0.)\n",
    "\n",
    "    mask = np.where(obs_fluxes > 0.)\n",
    "\n",
    "    figure.subplots_adjust(hspace=0., wspace=0.)\n",
    "\n",
    "    ax1.set_xlim(xmin, xmax)\n",
    "    ymin = min(np.min(obs_fluxes[mask_ok]), np.min(mod_fluxes[mask_ok]))\n",
    "    ymax = max(np.max(obs_fluxes[mask_ok]), np.max(mod_fluxes[mask_ok]))\n",
    "    ax1.set_ylim(1e-1*ymin, 1e1*ymax)\n",
    "\n",
    "    ax1.set_xlabel(\"Observed wavelength [$\\mu$m]\")\n",
    "    ax1.set_ylabel(\"Flux [mJy]\")\n",
    "    ax1.legend(fontsize=6, loc='best', fancybox=True, framealpha=0.5)\n",
    "    plt.setp(ax1.get_xticklabels(), visible=False)\n",
    "    plt.setp(ax1.get_yticklabels()[1], visible=False)\n",
    "    print(\"Best model for {} at z = {:.2f}. best log(Mstar) = {:.2f}\". format(HELPid, z,log10(mod[obs['id'] == HELPid]['best.stellar.m_star'][0])))\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### MAIN BEST RESULTS FOR DUST EMISSION:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "power law slope dU/dM (alpha) : 2.80\n",
      "fraction illuminated from Umin to Umax (gamma): 0.01 \n",
      "mass fraction of PAH: 1.12 \n",
      "minimum radiation field: 35.00 \n",
      "best dust luminosity: 12.33 [stellar luminosity]\n"
     ]
    }
   ],
   "source": [
    "print(\"power law slope dU/dM (alpha) : {:.2f}\".format((mod[obs['id'] == HELPid]['best.dust.alpha'][0])))\n",
    "print(\"fraction illuminated from Umin to Umax (gamma): {:.2f} \".format((mod[obs['id'] == HELPid]['best.dust.gamma'][0])))\n",
    "print(\"mass fraction of PAH: {:.2f} \".format((mod[obs['id'] == HELPid]['best.dust.qpah'][0])))\n",
    "print(\"minimum radiation field: {:.2f} \".format((mod[obs['id'] == HELPid]['best.dust.umin'][0])))\n",
    "print(\"best dust luminosity: {:.2f} [stellar luminosity]\".format(log10((mod[obs['id'] == HELPid]['best.dust.luminosity'][0])/(3.846*pow(10,26)))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Below on the plot dust component is  plotted against observed fluxes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best model for HELP_J095741.11+020226.47 at z = 1.49. best log(Ldust) = 12.33\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhwAAAEFCAYAAACozz6yAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAIABJREFUeJzt3Xl8VNX9//HXB8ImSGSRRVBkse4im0oVAVFpa52KG0tF\nf24gi0uoWqsVBa0bSlwqilpFUaNWEdOqoCigFVdw16+KCypGBJUAsgjh/P44M2RIJsnMZCZ3Jnk/\nH488wtx7597PXJLMmXM+53PMOYeIiIhIOtULOgARERGp/dTgEBERkbRTg0NERETSTg0OERERSTs1\nOERERCTt1OAQERGRtFODQ0RERNIuJ+gAMoGZtQIGA18BG4ONRkREJKs0BnYH5jrnfqzoIDU4vMHA\nQ0EHISIiksX+DDxc0U41OLyvAB588EH23nvv7Xbk5eWRn59f4RMr21/RvrLbE3lcVTzJSPSc8Rwf\n72uvbHu89yHb70lF+xK9J2UfZ/t90e9P+n5Wqrpn1ZXM+fS3Nrnja/JnpaJrffzxx5xyyikQfi+t\niBoc3kaAu+66i9zcXIYPH87w4cMByM3NpWfPnhU+sbL9Fe0ruz2Rx1XFk4xEzxnP8fG+9sq2x3sf\nsv2eVLQv0XtS9nG23xf9/qTvZ6Wqe1ZdyZxPf2uTO74mf1bKHldQUEBBQQHFxcWRTZWmJNS/8sor\nK30xdcGkSZPaA6NnzZrFhAkT2H///bfbX/ZxWZXtr2hfVdeo6HFBQcG2xlAqVfUakzk+3tde2fbK\n7kttuicV7Uv0nkQ/rg33Rb8/8e9L9vcH0nNfEr0n8Txn//33Z+PGjaxatYq1a9eybt061q1bx5Yt\nW+jYseO2xxVtT+Tx448/zpFHHlnunNX5qijO6hxf2TGx9sWzLfpx2Xty1FFHkZOTQ05ODvvvvz/D\nhw+ne/fu3HXXXQB3XXnllUUV/f+ZFm8DM+sJLF68eHHKW7SpFgqFKCwsDDqMjKJ7EpvuS3m6J7Fl\ny335/PPPKSgoYMuWLWm/1gsvvMCgQYPSfp1sErknOTk5DB8+nK5duwKwZMkSevXqBdDLObekoudr\nSEVERDLexo0bKSgooHPnzvTv35/69eun9Xpt2rRhyJAhab1GtmnTpg2hUIiFCxdSUFDAhRdeSOPG\njeN+vhocUfLy8srlcGSaTI0rSLonsem+lKd7Els23JfVq1ezZcsW+vfvT8eOHdN+vX79+tG+ffu0\nXyeb9OvXj44dO9K/f38+++wz7rvvPp599tnoHI5KaUiF7BpSERGpi4qKipg+fTqjR49WQyBgZf8v\n4h1SUaVRERGRMpYtW0abNm048sgjGTBgABdddBEbNyZWF/Luu+9OWTwTJkxg06ZNcR17ww03sGzZ\nspRdO1XU4BAREYlhwIABzJs3jwULFtCkSRMmTpyY0PPDMzdSYurUqTRq1CiuYy+++GI6deqUsmun\nihocIiIiVbj88sv5z3/+A8DAgQNZv349ACeddBJff/01hYWFHHzwwQwaNIjp06dz55138sknn3DE\nEUewYMGC7c517bXXMmDAAAYMGMCHH34IQK9evRg/fjy9evVi2rRpnHrqqfTo0YNZs2Ztd82nnnpq\nu+v8/PPPDBw4kEGDBm1Lcj399NP56KOP2Lp1KyNHjmTAgAEce+yxFBcXs2zZMg477DCGDRtG9+7d\ny8WWTkoajZINSaMiIlLzGjRowK+//lpuu5kB8MQTT3D//fez1157bdt377338uKLL253/Icffsgn\nn3zCggULKCoqYsyYMcyePZvVq1dz6aWXkpubS/v27fnyyy/JycnhuOOO4/jjj6/wOi+++CIHH3ww\n1113XbmYnnzySXbddVdmzpzJgw8+yK233sqpp57Kjz/+yMsvv8wnn3zCZZddxoABA5K6J08++SRz\n5syJO2m01jY4zKwjMBNoA2wGrnbOPV7Zc/Lz85U0KiKSbcaMgeXL4z++Qwe4446ELrFp06ZtQxqR\nN3SArVu3Ar4HZMqUKWzcuJGxY8dy8MEHE2tSxkcffcSiRYs44ogjcM7RoEEDAFq0aMEuu+wCwJ57\n7kmrVq22XRfYdq6JEydud53+/fvzyiuvMHLkSHr06MGECRO2Hbt06VL69OkDQJ8+fXj++ecB2G+/\n/TAzdt11V1avXp3QfYg2ZMgQxo4dG500Wqla2+AAtgDnO+feM7O2wGIze9o5tyHowEREJIUSbDzE\nK7rBcN11120bsmjZsiXffvstXbp02TYk0rFjR6ZPn05RUREjR45k3rx52zVMIvbaay8GDBiwLb+j\npKQEIOaxsURf55RTTuGZZ57h8ssvB2Dw4MGcfPLJ247t1q0br7/+OkOGDOHNN99kjz32KHe+SIOp\nJtTaBodz7nvg+/C/V5jZKqAlkEAzWERE6qqXXnqJQYMGUVJSwsEHH8zkyZMBGDNmDCeeeCL77bcf\n7dq1A2DSpEm8+uqrbN68mfPOOw/wPRUnnXQSEyZMoG/fvoAvz96tWzcGDBhA/fr1Oeqoo7jkkku2\na3DEanxEtkVf59xzz+WNN97gsssuo169euy222506NBh27HHHXccs2bNon///uy44448+OCDFBcX\nV3mtdKkTdTjMrBdwn3PugAr2qw6HiEgGUx2OzFGr6nCYWT8zKzSz5Wa21cxCMY4ZZ2ZfmtkGM3vN\nzPpUcK6WwP3A2emOW0RERGLLyAYH0BR4BxgLlOuCMbOhwE3AFUAP4F1grpm1LnNcQ+BJ4Brn3Ovp\nDlpERERiy8gGh3NujnNuonPuKSDWAFMeMN0594Bz7v+Ac4D1wBlljrsfeME593B6IxYREZHKZF3S\nqJk1AHoB10S2Oeecmc0D+kYddyhwEvCemQ3B95SMdM59WNG5I3U4oqkmh4iIiPf+++/z8ssv88IL\nL7Bo0SIaN25cq+twtAbqAyvKbF8B7Bl54Jx7hQRfn+pwiIiIVGz//fendevW/PDDD7GSRiuVjQ2O\ntFGlUREoKoLp02H0aNBkAMlEI0dC5EP1xo2wbBl06gSNG/ttubkwc2byx0t8Eq00mpE5HFVYBZQA\nbctsb0u47oaIJK+oCCZN8t9FMlFxMRQW+q/rroNPP/XfI9vKvv8lenzEggULOPzwwxk4cCAjRozY\n9sYaWaskKJHqodFmzJhB3759efDBB2PuzwRZ1+Bwzm0GFgODItvMVy4ZBCyqzrnz8/MpLCxU74aI\nSB33888/c/755zN79mzmz59PKBRi/PjxQYcFxC7W9cgjjzBnzhxOOeWUGivmNWTIEAoLC8nPz4/r\n+IxscJhZUzPrbmYHhjd1CT/eNfx4KnC2mZ1qZnsBdwI7ADOqc928vDxCoRAFBQXVOY2IiGS5p59+\nmuOPP56WLVsCMGzYMF5/vbS6wtSpUznqqKMYPnw4zjlef/11DjnkEAYNGrStIuncuXM5/PDDOeyw\nw3j00UcB3zsyfvx4Bg8ezE033cRjjz0GwBdffMGIESOA2KvJzpw5kz59+jBixAjWrVu3XawFBQW8\n/vrrhEIh3nzzzW3bJ02axDPPPAPA7bffzgMPPMCHH37IMcccA8AVV1zB/fffH/OaW7ZsIRQKccQR\nR3DEEUfEXLjuySefJBQKkZeXF9c9zdQcjt7AfPzMEoevuQF+musZzrnHwjU3JuOHUt4BBjvnVlbn\nokoalboqeow78j0vz49tg8a4pe757rvvti2mFrHzzjuzcqV/mznkkEO45557uPTSS5k9ezbvvPMO\nV155Jb/73e+2HX/VVVexYMEC6tWrx+GHH75tnZNevXrxz3/+k2+//ZYLLriAk08+mUcffZRhw4bF\nXE121qxZ5Ofn88Ybb1BcXEznzp23i2v48OHcfffdPP300zRp0qTS17XvvvsyYMAARo8ezY8//sik\nSZNiXnPq1Kk0bdqUwsLCCs9VKxZvc84tpIreF+fcNGBaKq+rpFGpqyJj3ABLlkCvXpCfD5H2d6hc\nrV+R2q19+/Z8/vnn22374YcfaN3a15eMvMH27t2bpUuXMm7cOK666ioeeughRowYQe/evfn00085\n+uijcc6xZs2abY2VSI5Fx44dWbNmDWvXrmXu3LlceOGFzJ49e9tqsgA5OTmsXLmSjh07kpOTQ6tW\nrco1OMAvNFd2qZLooZXofWeffTa77LIL8+bNA7ZfwTZyzS5duvDb3/6WkSNHsvvuuzN58uRyQzVa\nnr4a1MMhkhzNbJHa5phjjmHgwIGce+65tGrVioKCAg455JBtb7pvv/02PXr04K233qJPnz40b96c\n2267jc2bN9O7d2/effdd9t57b5577jlycnIoKSmhfv36ANSrV/p5+rjjjuP666+na9euNGjQIOZq\nsmbG8uXL2bJlC2vWrOGLL76oNPZI46JFixZ88803ALz77rv069cPgIsvvpj8/HwmT57Ms88+G/Oa\nv/76K+PHj8fMGD16NK+88gqHHXbYdtepFT0cQVEPh0hyIjNbQiE1OKR2aNmyJbfccgtDhgyhXr16\ntGvXjjvuuAPwPQeLFy/m4YcfpnXr1lx99dXcdtttzJo1i5KSEk4//XQALrvsMo488kjq1atHmzZt\neOSRR8r1Epx44ol06tRp29BFRavJnn/++fTt25e99tqL3XffvVy8sVaAPfHEEwmFQjz99NM0b94c\ngDlz5tCwYUNGjx6Nc44pU6Zw8cUXl7vmCSecwJlnnkn9+vVp1qxZzA/jifZw1InVYqui1WKlrguF\nyg+pLF68/ZBKJUO5MZ8jkkrRK5RefHF71eEIULKrxaqHQ0SSkkyiqYZeJBUSbRyoMZEZ1OCIoiEV\nkfglk2iqoRdJVmSYoKSkJOBIJPJ/MHv2bJ599lkljSZDSaMimUO9IRJtp512Iicnh4ULF9K/f/9t\nCZhSs0pKSli4cCE5OTmcfvrpjBkzRkmjIhK/3NzSHomKhkdqmnpDJFrjxo0ZPnw4BQUFfPbZZ0GH\nU6fl5OQwfPhwGkeSYOJ9XpriyUoaUpG6KnqMO9bwiEgm6Nq1KxdeeCGrV68uV3NCaoaZsdNOO9G4\ncWMKCgooKCjQkEoyNKQitUV1hyM68C07PbcIHn8Hvv8efvwRcnKgSRPo2BG6dYPik6CkGahrW2pQ\n48aNadeuXdBhCGz7cK4hFZE6LKnhiO+/hwcfpNvjz3EFnai38VAYOhR22QVatoSSEtiwAb75Bj77\nDL5bDqGLYMcd2anniTTmGKDyssoiUnepwSFS161cCddfD0uXwqhRLL3lfEYd0oDFIdi9e9Rx9etD\nw4Y+oWO//eA+oPBpWLmSnKmP8wQn0PH6LjBpPOy1V1CvRkQylBocInWVc3DvvfDYY/D3v0O47DEV\nlu3ZXmmi6c4UF4/hJcYwcGkxzQZ/Bb++Se7+u4FrAzW0VLaIZDY1OKIoaVTqjJ9+grPPhr594Zln\nksrDiJVoeuPdufTs2R1WrIBbboE/vM3IjXdR3KwjmGklWpFaREmj1aCkUclmcVf+/OADOO88mDLF\ntxLSoW1buOYaKC6muO8PFOYcDaNGsaTzCfTqU08r0YrUAokmjVa6BHy2M7NZZvaTmT0WdCwi6Rap\n/FlY6Ke0gv8e2VZcDCxaBH/5CzzySPoaG9Fyc6HbHjB7NixbRtcJf6It36f/uiKScWp1gwO4GRgZ\ndBAiGWHVKrj2Wnj8cWjTpmav3bQpXHghy8+7nocZQcNvPq/Z64tI4Gp1g8M59xKwLug4RAK3eDF8\n/rlPEN1xx8DC2NhlH07lAXb7xyh4773A4hCRmlerGxwigm9o/PWv0LOHL9wVsOV05MtrH4WLLoJX\nXw06HBGpIRnZ4DCzfmZWaGbLzWyrmZVLKzOzcWb2pZltMLPXzKxPELGKZLL6xeHZKDNmQIOGQYez\nTUmL1n5o55prfB0QEan1MnWWSlPgHeBfwKyyO81sKHATMAp4A8gD5prZb5xzq2oyUJFMZWz1QxdT\npvhy5Jlmxx39EE+X9+H5d+Coo+KfaSMiWScjGxzOuTnAHACzmFWD8oDpzrkHwsecAxwDnAHcUOZY\nC3+J1CkXMYW1fQbRoiZmo1Si8pVom5A7sBdMOxGco7j4aAoL/TGxFpHTFFqR7JWRDY7KmFkDoBdw\nTWSbc86Z2Tygb5ljnwcOAJqa2dfASc651ys6d6TwVzQVAZNsEf3Gvu6bn1jNUbz2Sg9yQ6X7g1D1\nSrT1YWMBDB8OKw8EangGjYjELVLsK1ptLvzVGqgPrCizfQWwZ/QG59xRyVxAjQzJRtve2NevZ82A\nk9iVWcy/2bJjifnGjaGgADq/D3PfhsGDg45IRGKIfn+M1fioTDY2ONJGlUalVrj8cn4YeSFr3gyo\nSyNZjRtDr54w/SS/zkub3wUdkYhUoi4sT78KKAHaltneFqpXwlBrqUjWe/VVWL2aNYf+PuhIklOv\nPjz8MPz5zzQfCKBGh0imSnQtlYycFlsZ59xmYDEwKLItnFg6CFgUVFwigduyBSZOhBtvDDqS6mnc\nGB5+mFZP3s1gnzsuIrVARvZwmFlToBuls0u6mFl34Cfn3DfAVGCGmS2mdFrsDsCM6lxXQyqS1e64\nA0aMgBYt4MuavXT79nDFFf57SjRqxFf/eJixfU9ih/d3gp6HpOjEIpIqtWVIpTcwH3Dhr5vC2+8H\nznDOPWZmrYHJ+KGUd4DBzrlqVRDSkIpkrZUr/TLzTz8dyOXbt4crr6z+ebafQtuIV3iCoy94i5z7\n10KzHQObaSMi5dWK5emdcwupYrjHOTcNmJbK66qHQ7LW1VfD5ZdDvawbJd1O+Sm0Dbju0c4ccN2f\n4I6Z0KFDcMGJyHZqSw9HINTDIVnpq6+gqAh++9ugI0mLLa3bwV13wWmn+XLoO+0UdEgiQi3p4QiK\nejgkK02e7JNFa7Nu3eC66+DPf/aNjgxYhE6krku0hyO7+19F6roPPvA1K/bbL2WnTHkCaKr07g3n\nngtjx/rXLCJZRT0cUTSkIlnnqqvg+utTespUJYCmxe9+B++9B7feCuefH3Q0InWahlSqQUMqklVe\new3atYPddw86kpp10UVw6qkwfz4MHBh0NCJ1lpJGReqKa66Be+4JOoqaZwZ33gnHHQddukCnTkFH\nJCJxUA6HSDb63/9gr72gTR1dWbVpU5g+HUaPhk2bgo5GROKgBkeUvLw8QqFQQqvfiQRi6lSYMCHo\nKILVpYtPIL3ooqAjEamTCgoKCIVC5OXlxXW8hlSiKIdDssJbb/kCWO3aBR1J8EIhWLQIHnkEhg0L\nOhqROkXTYkVquxtv1Kf6aFdfDQ8+CB9/HHQkIlIJNThEsskHH0Dz5rDbbkFHkjlycuDuu32Njl9+\nCToaEamAGhwi2eSGG+Dii4OOIvO0bw9//zuMG6eiYCIZSg2OKEoalYy2dKn/3q1bsHFkqgED/Myd\nu+4KOhKROkFJo1HM7I/AjYABNzjn/lXZ8UoalYx2/fXq3ajKxRfDiSfCIYdA9+5BRyNSqylpNMzM\n6gM3AQOAXsBfzaxFoEGJJOvLL31+QgrXTKmV6tXz9TkmTIB164KORkSi1NoGB3AQ8IFz7nvn3Drg\naeDogGMSSc6118Lf/hZ0FNlh5519PofWWhHJKLW5wbELsDzq8XKgQ0CxiCTvyy9h7VrYf/+gI8ke\nAwdCx45+uqyIZISMbHCYWT8zKzSz5Wa21cxCMY4ZZ2ZfmtkGM3vNzPoEEatI2l13nXo3knH55b4g\n2KefBh2JiBBn0qiZLUnwvA4IOeeWV3lkbE2Bd4B/AbNixDMUn58xCngDyAPmmtlvnHOrwod9B3SM\neloH4PUk4xEJxldfwZo1cMABQUeSfXJyfD7H6adDYSE0bhx0RCJ1WryzVA7Ev8HHk4VlwCVAo2SD\ncs7NAeYAmJnFOCQPmO6ceyB8zDnAMcAZwA3hY94A9jWz9sBa4HfA5GRjEgnENdfAJZcEHUX26tDB\n53JcfDHcemvQ0YjUaYlMi53inPshngPN7C9JxhPPuRvgZ51cE9nmnHNmNg/oG7WtJBzHAnwj6Hrn\n3M+VnTsvL4/c3NzttkWm/YjUuA8/hI0bNb2zuo45BubPhyefhCFDgo5GJKsVFBSUq1VVXFwc13Pj\nbXB0BlYmENM++CGNdGgN1AdWlNm+AtgzeoNz7r/Af+M9sepwSEa5/HK4+eago6gdrrkGjj0WevaE\nTp2CjkYka8X6EB5vHY64GhzOuWWJBOSc+yaR4zNFpIdDvRoSuDlzYO+9tWZKqjRsCHfcAeec4/M5\nGjQIOiKRrBfp7Yi3hyPhWSpm9pWZTTSzoP4SrgJKgLZltrcFvq/5cERSbMsWvyKscjdSq0sXn0A6\ncWLQkYjUSclMi70ZOB74wsyeN7NhZpZ0gmiinHObgcXAoMi2cGLpIGBRdc6dn59PYWGhejckWP/8\nJ4wYATvuGHQktc/JJ8Pq1fDcc0FHIpL1hg8fTmFhIfn5+XEdn/BaKs65m4Gbzawn8P+A24BpZvYw\ncK9zLtEptOWYWVOgGz7ZE6CLmXUHfgoP10wFZpjZYkqnxe4AzKjOdTWkIoH74gt48UV46qmgI6m9\npk71+RwHHADt2gUdjUjWSnRIJenF28INiyXhmSBjgeuBMWb2PnArcJ9zSa8T3RuYj6/n4fBTcgHu\nB85wzj1mZq3x01zb4mt2DHbOJZLYWo6SRiVhJSVQv35iz1m50pffLss5uOACyM+HmLPBJSWaNPFT\nZEePhlmzEv//ExEg8cXbkm5whKenDgFOB44CXsMX6uqIn7J6JDAimXM75xZSxXCPc24aMC2Z81dE\nPRySsJwc31CI19tv+5kSsZ5z++0waBB07Zq6+CS2ffaBUMhXcb3ssqCjEclKae/hCA+lnA4MB7YC\nDwB5zrn/izrmSeDNRM8dNPVwSEIS7cCbMwduuQUGDIDiYoiu+fLWW/DSS/DooykNUSpxxhlw2mnw\nv//BYYcFHY1I1qmJHo43geeBMcDscBJnWV8CjyRx7kCph0MS8ssv/rtz8Q2BHHusn4EyeTK89hoM\nHuy3f/+9r4T5+OMaSqlJZj5B97jj4N//hlatgo5IJKvURA5Hl6rqcjjnfsH3gmQV9XBIQtav99+L\ni2Gnnao+fv/9fe/G8cf7T9fFxbB4sf+aNg1atkxruBJD8+YwZQqMGeN7l9TgE4lboj0cCU+LTbQI\nmEittWGD//7TT/Ed36mTf3Pbd1+fp3HLLb6hcvvtsNde6YtTKterFxx6qNZaEUmzuHs4zOxn/IyR\nymzBF996HrjKObe6GrHVOA2pSEIiPRw//eSLSl15JXTrBqecEvv46BktU6b4ZdMHDqyRUKUK550H\nQ4f6XI44PqmJSHqHVC6I45h6QBv8cMou+MTSrKEhFeHzz30yZ+vWVR+7YYPvofg5vCbg/ff7N62K\nRCeZdujgvyQzmPnS5yefDLNnq+iaSBzSljTqnLs/3mPN7Hl8L4dIdhk50q/Qunhx1eP5Gzb4RkOk\nwZGbC2vWpD9GSY9WrWDSJBg/HmbMUD6HSIolU9p8GzNrZmbNo7/Cuz7GF+XKKnl5eYRCoXJL70od\n0qqVT+6MJy9jwwbYZZfSBkebNvDDD7GP3bgRGjdOXZySHocdBnvs4RscIlKpgoICQqEQeXl5cR2f\nTB2OzsA/gQFA9F9Qw+d41HfObQBuSfTcQdOQSh0XGfLo0sUPrZSZJllUBNOn+wKV7dtT2sPx00++\nQdG8Ofz6a+xzf/KJz++QzPe3v8GQIdC3r5J5RSqR9lkqwINAC+AM/IJpR4S/Boa/i2SnH3/0jYyu\nXX2Do4yiIt/jXlQU3hDp4Vi+HHbf3X9V5LXX4KCD0hG1pFr9+nDnnXDuub4hKSIpkUyDoztwunPu\nUefcAufcwuivVAcoUmO++QZ23dU3HJbFMft7/Xrf4HjiCVixAg4/3PeSrF9fvgrpvHm+bLlkh112\ngbw8uOiioCMRqTWSrTS6K/BJimMRCVakwbHbbvD117BlCyP7fkZx+70BX6cL/PtQbi7w1QByW+Uw\n8/vxvjz2oYf6GQ477wx33eWXmDeDTZtKh1wke/zhD/DCC/Dkk36IRUSqJZkGx1nAnWbWAfgA2K60\nuXPuvVQEFgTV4ahD7rjDJ2PUi+rk++Ybn78RGSZZtIjit1ZT6HyDY8kSX6IhP9+vv8bUWYQePxXG\njYNDDvHn2Gcf38Mxdy489phfZv7pp+HII2v+NUr1XXutL0nfq5dviIrINjVR2nxnoCtwX9Q2R1TS\naBLnTDkzm4VPbJ3nnDs5nucoabSOcA7GjoVhw6BFi9Lt33wD/fv7FWBLSuCDD/CdeRVYu9Yf+89/\nlm4791zfs9Ghg18Gfd06n2n62GNpezmSRg0b+kqw55wDhYX+/1tEgJpJGr0XeBvoC3QBOpf5nilu\nBkYGHYRkoEgiYNmpr19/vf2n2I8/huY7VjzzpLgYGpR5A2rUyPeQ/OMf/k3qT3/y3fHRK8NKdolU\nj500KehIRLJaMs31TkDIObc01cGkknPuJTPrH3QckoHWrvXfI/UzordH8iy6dvXLybc4y6/mGqs7\nfc0ayGkQ+xqXXuobNq+8omTR2mDECDjrLJg/X+XoRZKUTA/Hi/iZKiI1oqjIL1OybTpqda1b55M5\nyzY4op1yChx9tC/WtWJF7GNi9XBEa9xYjY3a5JZb4OqrYeXKoCMRyUrJNDj+A+Sb2ZVmdoKZhaK/\nkgnCzPqZWaGZLTezrbHOY2bjzOxLM9tgZq+ZWZ9kriXZp1z9i+pat87PRokeUtmypXRhNYA+feC2\n26Bho4qrh27aBPUyImVJakLTpjB1qk823ro16GhEsk4yDY47gY7ARODfwOyoryeTjKMp8A4wlhgr\n0prZUOAm4AqgB/AuMNfMWkcdM9bM3jazJWbWKMk4pC6INDiieziWLfPLx5fVqJIGRwZr3x6uuCJc\nEVVSp3t332t1881BRyKSdRLO4XDOVWv9lQrOOQeYA2AWc8WkPGC6c+6B8DHnAMfgq53eED7HNGBa\nmedZ+EuyzMiRpXUvytW/wH+fOTPJk//yi8/JiO7h+OyzmKXHc1vVJzTlMHgyRhxvXEbuUUnGkGbt\n2/thKEkkNRshAAAgAElEQVSDsWNh+HB46y3o3TvoaESyRsbP8TKzBkAv4JrINuecM7N5+JkyFT3v\neeAAoKmZfQ2c5Jx7Pd3xSmoUF/tZiBCj/gUQSmrwLixWD8fSpX7RrjJm3lbsa3ZMnbp9HD0cHHsV\nzPxvNQKRrGQG06bBSSdpKXuRBMTV4DCz84C7nHNxLSwQ7oF4yDm3tjrBhbXG1/Yom7m3Atizoic5\n5xL+7Bkp/BVNRcAyh23+FWhY/ROtW+d7OJYsKd22dCn87nflj61oBdjoGS1S97Rs6ceszj8f7r03\n6GhEakyk2Fe0eAt/xTs8kg8k0oy/AV8gLCsNHz6cwsJCCgsL1djIID0OSVFqzi+/QMeO2/dwfPVV\n7MXXmjcvHUuJVtHxUnccfrjvKXvwwaAjEakx1Xl/jHdIxYAXzGxLnMc3SSiKyq0CSoC2Zba3Bb5P\n4XVUabSuWLfOVxjdHFWV/9dfY1eRjJlSBHzxBXTunJ74JHtcfrkf3+vb19duEalDEq00Gm+DI9ES\ne08BP1V5VBycc5vNbDEwCCiEbYmlg4BbU3GNCK2lUkesWwfNmpU+XrnSL7hWkZyccOMkqsjXhx+q\nAJT4n4077oBRo+A///Gl0EXqiLSspeKcS2tNXzNrCnSjdEZJFzPrDvzknPsGmArMCDc83sDPWtkB\nmJHOuCT9ior8UiOjR1c+hbMBFZQXT8Yvv2zf4HjhBd89XpGuXeHTT4F9S7e9/75fN0WkUyc4+2yY\nOBGuuy7oaEQyVqbMUukNzMfX4HD4mhsA9wNnOOceC9fcmIwfSnkHGOycS2nJPw2p1LxIUa9QqPIG\nRyM2pe6i69b5Ik4A993nWzzPPFPx8YcfDgsWQN9wg8M5WL1aSaNS6sQTYd48eP55OCpD50qLpFi6\nhlTSyjm3kCoSWCuos5FSGlLJHLm5pVNfi4thE40I8RSE/MLE1VoLLTKkUr++b2y8+mrFuRrgV5A9\n+2zoOw6ARt9+rvF6KW/qVL+UfffufnaTSC1XE8vT11rq4agZiRb1WrIEft/rZwr5E/x7o6/+WR2R\nHo5//MP3VlTW2IgEtGED9dYWA7ns9MITcMwx1YtBap8ddvCNjnPOgccfh3opr5EoklGysocjU6iH\no2YkU9SrYSSHY9Om6jc4Skp8st+++1Z9bMSECex64/n0ZRTNFi+Amy+qXgxSO3XvDkccAbfeChdc\nEHQ0ImmV9h4OM2tcUQEwM2vvnEvVEls1Tj0cmasB4Smsm1KYy5GIgQNZvXg1J/z3CZZNup8D9OlV\nKjJuHAwd6ofievQIOhqRtEm0hyOZv5pLzOzAshvN7ATgvSTOJ1KlwBscQPERQ7iQm9jSUuPzUolI\n6fO//MUP34kIkFyDYwHwmpn9FfyUVjObAcwkar2TbJSXl0coFCpXtlWCt92Qikima90a/v53n5wk\nUksVFBQQCoXIi/PnPJnVYsea2dPAPWb2R6A9sA44yDn3QaLnyyQaUkmN6KTQjRtLV35v3Nhvi17C\nJF4p6+HYmIKkU5F4HHGEr/HyyCMwbFjQ0YikXE0ljT4LzALGAFuAY7O9sSGpEysptKCgNCm0XbvE\nz9mAzbj69bHqNjhWrtSURak5V17pp8oefLBK4Uudl/CQipl1BV4F/ggMxi/UVmhmN4SXkhdJuYb8\nSkmTZtXr4diyBVasUINDak6DBr70+dix26/dI1IHJdPD8Q7wNL7S52rgeTN7BngAOArI2rRsTYtN\nTrzlySNycrYv6gXl63CU1YDNbG26Y/UaHCefDN99B2eemfw5RBLVuTOcdpovqXv11UFHI5IyNVH4\na6xzbmb0BufcIjPrAdycxPkyhnI44le2eNdLL8H8+b6x8MYbfv/MmbGf27Nn5XU4YmnAZrY2aeZX\ndU1WSQm8/jrcdFPVx4qk0rBhcNZZ/pdEi/5JLZH2HI6yjY2o7WsBfXSsIyor3hUKlTZGUqF9ezht\n2K/U+7iaQyoNG/pEvv33T11wIvG6+Wb/y3HAAdCqVdDRiNS4ZAp/nVrJbldRg0QkWe3bw4iTNsM/\nqzmksnGjnzVQjTiuuCK+YSORcpo1gylTfGGwgoKqS+qL1DLJDKncUuZxA/xS8b8C6/H1OERSa/Nm\nv/5JgHU42rf3kw5Ektarl/+66y6f9CRShyQzpNKi7DYz2wO4A5iSiqCCoqTR1MjN9at0Rw+tVJUU\nWqXNm/0nxGQbHM4l9zyRVPvLX2DIEDj8cNh776CjEUlaIKvFOuc+M7NLgAeBvVJxzuows474npY2\nwGbgaufc41U9T0mjqTFzpm9sFBbGnxRapV9/rV6DY82aJFs6IilWr56fKnvaafDf/6oQnWStmlhL\npSJbgF1SeL7q2AKc75zbF18r5GYzaxJwTBmtqMgPFxRl6tJ7GzfCTjsl3+D47jslX0jm2GUXOO88\n+Nvfgo5EpMYkkzRadvFww5c3Hw+8koqgqss59z3wffjfK8xsFdASWB5oYAGKVSujsqmt4L9XNLW1\nxq1fDy1aJNfgGD8ejj7a11cXyRTHHgvPPQfPPgu//33Q0YikXTJDKrPLPHbASuBF4C/VjijFzKwX\nUM85V+caG1U1KJYsgW+/Lf132aGPUNmmZZTc3PiKd6VsZseGDX4q4Y8/Jva8rVvh9tt9DY4//KGa\nQYik2A03+IZHz57Qtm3Q0YikVTJJo6kchgHAzPoBFwG98L0lxznnCsscMw64EGgHvAuc65x7s4rz\ntgTup47WB6msVgYkt6ZJRHTPR2V5Gimb2bF+PXTt6odGEvHjj352S0GBVu6UzNOkif/FGTMGHn/c\n53eI1FKZ8tPdFF8yfSy+x2Q7ZjYUuAm4Al86/V1grpm1jjpmrJm9bWZLzKyRmTUEngSucc69XhMv\nQhIXdw/Ihg3JDakUFflPkGvXwh57JB2nSNrsvz8MGgS33hp0JCJpFVcPh5lNjfeEzrkJiQbhnJsD\nzAlfK1Y1nDxgunPugfAx5wDHAGfgF4/DOTcNmBYVcwHwgnPu4UTjkZoTdw/I+vU+aTTR0ubLl0O/\nfr6HQyRTjR3r1/rp3x96ZO1yVCKVindIJd7fgJQXOwivQNsLuGbbRZxzZjYP6FvBcw4FTgLeM7Mh\n4bhGOuc+rOxakToc0VSTo2o1UoFzw4bkZqksXw4dOqQnJpFUMfNTZU8+2Y+DNmsWdEQiMUVqb0RL\naR0O51yQqw21BuoDK8psXwHsGesJzrlXSCI/RXU4klMjFTgjPRzJNDgOPDA9MYmkUuvW8Pe/+1yj\nu+8OOhqRmGJ9CE/54m1m1gX40rnaW7Ix2yqNRs9C2bgRli3zMz8bN/bbliwJLraUS7bSqHo4JJsc\ncQTMmwePPgpDhwYdjUil0llp9DP8DJIfAMzsUeA851zZnodUWwWUAGXnjLUlXGujroo1C6WgIP5Z\nKDk58U1tzRiNGiXe4PjhB2jTJj3xiKTDpEk+0fmgg6Bz56CjEUmZRBocZZM5/wCkvUyec26zmS0G\nBgGFsC2xdBCQ0rTu2jakUlWDYuDA0umtKStBnk4NGviejkRs3gz166cnHpF0aNDA53OMHes/UTRo\nEHREIjElWto8JWupVJeZNQW6Udqo6WJm3YGfnHPfAFOBGeGGxxv4WSs7ADNSGUe2DalUpWfPyutw\nZJ1El/Nes0bJd5KdOneGU0/1vR1XXx10NCIxpXNIxVF+Fkqq8jl6A/OjrnFTePv9wBnOucfCNTcm\n44dS3gEGO+dWpuj6QO3r4ahVIqlDiaQQvfqq75YWyUbDh8NZZ/nywAODzNsXiS2dPRyG72WIDKI3\nBu40s1+iD3LOHZ/AOSPPWUgVRcjK1tlIh0zu4Yi1Fkoq1cjU1po2ezZMSLgsjEjmuPlmPy66//5+\nFotIBklnD8f9ZR4/mMBzs0Im93AUFfne1VAofQ2OtE9tTRXnqh5e2bABvvhC1UUluzVrBjfe6PM5\nHn008WFFkTRKWw+Hc+70akWWBTKth6Ps4muwfdJnrZr2WpnNm30GLEDz5rBuHey4Y+XP+de//Bi4\nSLbr2RP69vWLEI4fH3Q0Ituks4ej1su0Ho6qFl/r2DHLprUmK3pqa7t28P33lTc4Vq2Cp57yy36L\n1AYXXAAnngiHHaZCdpIxsnKWiiQnkVkoWZ2jsWJF6dLd7dr58aWKhkq2bvWfAq+9trRXRCTbmcGd\nd8KwYf6XvmnToCMSSVimrBabEfLy8giFQuXqxAepqMjnVqys5nycSI5G1jc49tkHPvig4mMvvxyO\nPBJ6966Z2ERqys47+9Ln558fdCQigB9SCYVC5OXlxXW8GhxR8vPzKSwszIj8jYhIsuiqVUFHEqDo\nBkefPvDGG+WPcQ4mTvRFks46q2bjE6kpAwf6Tw0PPRR0JCIMHz6cwsJC8vPz4zpeDY4MNHKkz814\n4w2fkwFwU7gySV6e31+nRDc42rSB776DLVtK9//yC5xxBrRokUVTbUSSdMUVvsGxdGnQkYgkRA2O\nKJkypBJJFj3oIJ+TAfCXv/jv+fmlCaLRsjpHoypLl0KXLqWPhwzxUwXXrPGLxxx7rJ+REme3nkhW\ny8nx+RzjxsGvvwYdjdRhiQ6pKKsuSqbNUklEVtXRSNR338Euu5Q+PuccuOUWOPts6NcPnnmmdIlc\nkbpgt918bY6LL/bFwUQCkOgsFfVwZLDc3NhDKm+84Ydcas2018ps3Qr16m1f8MjMTxN89FE/I0WN\nDamL/vQn39vxxBNBRyISFzU4MtjMmbGHVA46yA+5RFZ6rdXefx/23jvoKEQy07XXwj33wOefBx2J\nSJXU4JDM9tRT8Mc/Bh2FSGZq0ADuugvGjIGNG4OORqRSanBECTppNFJzQ383wjZvhoULfXVFEYlt\n1139WKsWKpQapqRRwMxygXlAffxrvNU5d09VzwsiabTseikvvQQtW5aWLC8pqdFwMsu0aX72ST21\ni0Uq9fvfw8sv+1lbGVRHSGo3lTb31gD9nHMbzawJ8KGZPeGc+znowMqKtV7KIYeU7n/tNf89Oml0\nt91qNsZAvP8+vPCCX2JeRKo2eTIcdxz06AF77RV0NCLl1MqPjs6LDEw0CX/PmnWdr7rKN0IKC2G/\n/fy26KTRWp8sunixn4Vyzz3q3RCJV06Oz+cYPx7Wrw86GpFyau1fczPLNbN3gK+BKc65n4KOqTpa\nt67Fhb2izZvn10N5/PHSFWJFJD677AKXXKL1ViQjZUSDw8z6mVmhmS03s61mFopxzDgz+9LMNpjZ\na2bWp7JzOueKnXMHAp2BP5vZzumKvybsvHMWL74Wr0cfhenTfV2BFi2CjkYkOx15JHToADNmBB2J\nyHYyosEBNAXeAcYCruxOMxsK3ARcAfQA3gXmmlnrqGPGmtnbZrbEzBpFtjvnVoaP75felxC/yGyU\noqKgI8kgt93mczYKCqBJk6qPF5GKXX45PPlk5Ssri9SwjEgadc7NAeYAmFmsXIs8YLpz7oHwMecA\nxwBnADeEzzENmBbe38bM1jvn1oVnrBwe2ReUWLNR5s+HTz4prRpaJ5cCcc7/cQTfuxHzv19EElK/\nvs/nGDHC17Jp1izoiEQypoejQmbWAOgFvBDZ5pxz+GmvfSt4WifgZTN7G1gI3OKc+zDdsVYmMhul\nsLC0emh01dBYC7IBNGpUi3M3tmyB0aP9SrBXX63GhkgqtW0LEyf6Rd5cuY5jkRqXET0cVWiNr6ex\nosz2FcCesZ7gnHsTP/SSkLy8PHLLLFASmWecLrm55Zeiz8srXSelbdtauijbpk2+xsaQITBsWNDR\niNRO/fvDokVw990walTQ0UgtUFBQUK44ZnFFn5jLyIYGR41LdyMjWmSKayjkGxa9evmejyxdtDY+\nGzf6rt6zzoI//CHoaERqt7/+FU480XenHnhg0NFIlot+f4zV+KhMxg+pAKuAEqBtme1tge9rPhyp\nlq1b4Ywz/FCKGhsi6Vevns/nmDCh4rFbkRqQ8Q0O59xmYDEwKLItnFg6CFiUymvl5+dTWFiY8t6N\noiKfHKpZKcD118OAATB4cNCRiNQdrVv7PKkxY5TPISkzfPhwCgsLyY8kJlYhI4ZUzKwp0I3SaqBd\nzKw78JNz7htgKjDDzBYDb+BnrewAzEhlHJEcjlQPqRQVwaef+u+1MvkzXp9/7quI/vvfQUciUvf8\n9rfw6qtw++2+GqlINUWGVLIth6M3MB9fg8Pha24A3A+c4Zx7LFxzYzJ+KOUdYHC4xkbKpHLxtrLT\nYKE0GbRW9GqWlPipd4mYPFmzUUSCNGECDB0KBx8MfSqtnShSpaxcvM05t5Aqhnei62ykSyp7OGIt\nylb+eqWzUXJzfe9HVkyB3bLFLxA1ciRcfHHFx23dCvfe65eYb9/e1wLQolIiwTHz9W5OOEEVfaXa\nsrWHIyOke3n6yOyTSAMk1myUjJsCe8cdsG4dXHRR6bbXXoOTT/bds8uWQadO5Z/38cd+xbljj/Uv\n9P33t18GV0SC0aKFz6UaPdovJ6AeR0lSVvZwZIp05XBktXnzYM2a7RscixbBoYf6qXaXXgoPPVS6\nr6TENzAWLfKZ8R07+u0DB9Zs3CJSsT594PDDYerU0qWoRRKUaA9Hxs9SqUnpmqWS1bZu9cteR3vz\nTT+nf++9/apyjz7qj/vf/3yPRvPmvrs20tgQkcwzbpzvbn3llaAjkSyV6CwVNThSqFYuyhZJDo1M\npXPOD7FE1ma4/nr48ENfueyZZ3zOxqhR6qYVyXRmfsh04kT4XiWNJP00pBKlukMqRUUwaZJ/761V\nWreGVat8b8ZXX8Huu5fua9TIzz4RkezTvLlfqfmss/zqsg0aBB2RZBEljVZDMkmjFU1/rWwV2Pbt\n4Te/yYLZKM75r27dfA2NnXf2uRm//W3QkYlIquyzD5x2GlxyCdx0U9XHi4QpabSGxZr+mp/vv4qL\n4fnn4euv/f7oabAHHZQFDY5ffoEdd4SuXX2D45BD/HhvdAKpiGS/k06C11/3+VhDhwYdjdRSanAk\nqajIT2ffuDH2/lqxKNuKFdCmje/h+O9//bYvvth+SEVEaofrroPjjoP99oN99w06GqmFlDQaJS8v\nj1AoFNfqd5F8jU2baiCwoEQaHN27w1tvwdKlsNtuSggVqY1ycuBf/4Lzzqsl5ZAl3QoKCgiFQuSV\nzRuogHo4oqS78FfWWbEC2raFhg19saCLLoILLww6KhFJl7Zt/fIDo0bBI4/ow4VUSjkcaRQrQfSD\nD0pnpZSUBBNX2vzwA3To4P99002+zsahhwYbk4ikV9++8Pbbfsr7JZcEHY3UIhpSSUAkQbSw0Odj\ngB/ujGxbty7Y+FIu0sMB/vsJJwQbj4jUjDFj4LPPYO7coCORWkQ9HFKx6AaHiNQdZvDPf8Kf/uRn\nqXXrFnREUguowRElmcJfzZqVDql88EHkPNuvApu1IkmjIlL3NGnik0hPP90XBdtxx6Ajkgyjwl9R\nzKwJ8DHwmHOuknXUvWSSRq+6qnSqa//+8NJL5ae/LlmS0Ckzx6ZN0Lhx0FGISFB23dXP6z/7bHj4\nYainUXgplWjSaG3/6bkMeDXoINq3hyuuyIJCXyIiZR12mF/t+R//CDoSyXK1tsFhZt2APYFng46l\nfXv/IUENDhHJSqNHw3fflZZVFklCrW1wADcCfwM0kTxZmoMvIhG33AJ33gkffxx0JJKlMiKHw8z6\nARcBvYD2wHHOucIyx4wDLgTaAe8C5zrn3qzgfCHgE+fcUjM7lBQ1OnJzSxNEoxdqiySGRlZsFxGp\ndRo2hHvvhT//GZ54AnbaKeiIJMtkRIMDaAq8A/wLmFV2p5kNBW4CRgFvAHnAXDP7jXNuVfiYscDZ\ngAPmAyea2UnAjkCOmRU7566uTpCR9VFg+4XaIgmiS5bAM89U5woiIhmsXTu/5sqZZ8Jjj0H9+kFH\nJFkkI4ZUnHNznHMTnXNPEbs3Ig+Y7px7wDn3f8A5wHrgjKhzTHPO9XDO9XTO/cU518k51wXfK3J3\ndRsbIiIC9Onju3onTgw6EskymdLDUSEza4Afarkmss0558xsHtA3ldeK1OGIlkhNDhGROuG00+CC\nC+Df//ZL20udEam9Ea021eFoDdQHVpTZvgI/C6VSzrn7E72gGhkiIlWYMsUvd7DnnnDAAUFHIzUk\n+v0xVuOjMtnQ4Kgx1V0tVvU2RKTOaNDAJ5EOHerzOVq1CjoiqWG1cbXYVUAJUHZRj7bA96m8UDKl\nzaNF6m2IiNQJrVvD1Klwxhl+5kpONrylSKokWto8I5JGK+Oc2wwsBgZFtpmZhR8vSuW18vPzKSws\n1HCKiEi8uneHESPgr38NOhKpYcOHD6ewsJD8yPLpVciIBoeZNTWz7mZ2YHhTl/DjXcOPpwJnm9mp\nZrYXcCewAzAjlXHk5eURCoUSGpMSEanzhg6FRo1gxoygI5EaVFBQQCgUIi8vL67jM6X/qze+doYL\nf90U3n4/cIZz7jEzaw1Mxg+lvAMMds6tTGUQ1c3hEBGps66+GoYNgz32gEMPDToaqQFZmcPhnFtI\nFb0tzrlpwLR0xlHdHA4RkTqrXj2/nP2QIf57p05BRyRppuXpq0E9HCIi1bDjjnD33b4S6ezZWu+h\nlsvKHo5MoR4OEZFq6tzZVyE980woKPA9H1IrqYejGtTDISKSAocfDp995hseV2tVidoq0R4ONT2T\npCJfIiKVOPNM+OUXePjhoCORDKEejiiJDKmoyJeISBWmTPFrrXTrBgcdFHQ0kmIaUqkGDamIiKRQ\nTg7cd59fc+WBB6BDh6AjkhTSkIqIiGSOnXaCO+/05c/Xrw86GgmQGhxRVGlURCQN9tgDLroIRo8G\n54KORlIk0UqjanBEyYa1VNQYKk/3JDbdl/J0T2Krkfty5JFw8MEwa1b6r5UC+lkpr+w9ycq1VCR+\n+iUoT/ckNt2X8nRPYqux+zJuHBx/fM1cq5r0s1Jede+JkkZFRKRmmAUdgQRIPRxVqKpFV9n+ivaV\n3Z7o41RL9PzxHB/va69se2X3oTbdk4r2JXpP4o2jOmryvsyZo9+fePdl++9PPM/R39rEj8m0nxU1\nOKLEShrVL0Fyx6vBkdgxanCUN3eufn/i3Zftvz/xPEd/axM/Jt0/K4kmjWpIxWsMMGrUKPbee28A\nlixZAkBxcfG2f8dS2f6K9pXdnsjjquJJRoXnXL0a4og/kXMmsj3e+1Cj96Qaxyf6s5LoPSn7OBPv\ny8cfb/+9snOuXVsMLNnu2FjHZ/s9SfSYVPysVHXPqiuZ89Xpv7XVOL4mf1bKHrfnnnty5ZVX8vHH\nH/PSSy9B+L20IuY0RQkzGwE8FHQcIiIiWezPzrkKa9mrwQGYWStgMPAVsDHYaERERLJKY2B3YK5z\n7seKDlKDQ0RERNJOSaMiIiKSdmpwiIiISNqpwSEiIiJppwaHiIiIpJ0aHCIiIpJ2anCIiIhI2qnB\nISIiImmnBoeIiIiknRocIiIiknZqcIiIiEjaqcEhIiIiaacGh4iIiKSdGhwiaWJm881satBxpEo2\nvp5MizmZeMxsgZltNbMSMzsgXbGFr3Vf+FpbzSyUzmtJ3aMGh0gSzKyjmd1rZsvNbJOZfWVmN5tZ\ny6Bjk+CluKHjgLuAdsAHKTpnRc4LX0ck5dTgEEmQmXUG3gK6AkPD30cDg4BXzWynAGNrENS1Ja3W\nO+dWOue2pvMizrm1zrkf0nkNqbvU4BBJ3DRgE3CUc+5/zrlvnXNzgSOBDsA/oo7NMbPbzGy1ma00\ns8nRJzKzE83sPTNbb2arzOw5M2sS3mdm9jcz+yK8/20zO6HM8+eHz59vZiuBOWZ2tpktLxu0mT1l\nZvfEc24z28HMHjCzteFenAlV3RQzO8bMfjYzCz/uHu6avybqmHvM7IHwvweb2cvh56wys/+YWZeo\nY6v9OmI8N957eouZXW9mP5pZkZldEbW/mZk9ZGbrzOwbMzs3ukfDzO4D+gPnRw2F7BZ1iXoVnTuV\nwjHdGv7Z+MnMvjezM8P/t/ea2Roz+8zMfpeO64uUpQaHSALMrAVwNHC7c+7X6H3OuRXAQ/hej4j/\nB2wG+uC7qyeY2Znhc7UDHgbuAfbCv0nNAiz83EuBU4BRwD5APjDTzPqVCetUfAPot8A5wL+BlmY2\nsEzcg4EH4zz3jUA/4Njw6x0A9Kzi9rwMNAN6hB/3B1aGnxtxODA//O+mwE3h8x4BlABPRh2bitdR\nViL3dB1wEHAxMNHMBoX35QN9gT+GYxkQ9ZoBzgdeBe4G2gLtgW+i9p9WyblT7VT8/0Ef4FbgTvx9\nfSUc83PAA2bWOE3XFynlnNOXvvQV5xf+TWIrEKpg/wX4N87W+DfWD8rsvzayDf8HvwTYNcZ5GuLf\nlA4us/1u4MGox/OBt2I8/0ng7qjHo4Bv4jk3viGwETg+al8L4BdgahX35y1gQvjfs4BLgA3ADvje\nn61A1wqe2zq8f59UvI6o+zM1iXu6sMwxrwPX4BtUm4AhUfuah887tcw5yt2rys5dyT2t6FyXAadH\nPX4I6F3RtfAfMNcCM6K2tQ3f84PKnLvCn3F96SvZL/VwiCTHqj4EgNfKPH4V2CM87PAu8CLwgZk9\nZmZnWWn+Rzf8m/Tz4WGNtWa2FhiJzxmJtjjGdR8CTrDSnI4RwCNxnLtL+PwNgDciJ3PO/Qx8Esfr\nXUhpj0Y/fKPjY+AwfO/Gcufc5wBm1s3MHjazz82sGPgSnyAZPfxQnddRViL39L0yj4uANuHz5gBv\nRnY459YQ372p6tyJGoL/ecLMcoDfAx9WdC3n8z9+BN6P2rYi/M9kri+SkJygAxDJMkvxb4p7A0/F\n2L8P8LNzblU4laFC4TeAo8ysL37Y4lzgajM7GP9JGuAPwHdlnrqpzONfYpz+P/hPtMeY2Vv4N//z\nw/uqOnerSgOv3ALgdDPrDvzqnPvUzBYCA/G9JAujjv0vvpFxVjiOevg3zIYpeh1lJXL85jKPHaVD\n0DpgFBAAAANJSURBVPE2NitS2bnjYma5QBvn3P+FNx0EfOSc2xDHtcpuI9HriyRDDQ6RBDjnfjKz\n54GxZpbvnNv2RhXOyRgBzIh6ysFlTtEX+Mw556LO+Sp+dstVwDL8J9d78G+CnZxz/0sizk1mNguf\nr7AH8H/OuXfDuz+q7NxmthrYEo792/C2FsBv8A2KyryMH2LIo7RxsQA/tLITPmcD89OHfwOc6Zx7\nJbztsFS+jhgSPT6WLyjNyYncm9zwa4luTP0K1E/yGvHoD0S/hoHAfDNr6Zz7KY3XFUmaGhwiiRuP\nT7qba2aX4z+l7wfcgE8O/HvUsbuZ2Y34Ogq9ws/NAzCzg/BTaZ8DfgAOwecxfOScWxd+Xr6Z1ce/\nueQChwLFzrmZccT5EL4XYV9g2/HxnNvM/gVMMbOf8EmHV+PzTSrlnFttZu8BfwbGhTe/BDyG/3sT\neVP+Gd+9P8rMvgc64fNbHOUl/TrKxFbtexo+x/3AjWb2M/7eXIm/N9GxfwUcbGadgHXOuR+rOneC\nBgLLYdtwygn4Rt0w/CwqkYyjBodIgpxzS82sNzAJeBRoCXyPT3Cc7JxbHTkUeABogs+H2ALkO+fu\nCe9fg89rOB/fK7AMn3D5XPg6l5vZD/g3ki7AamAJPnmRqGtU5EXgJ3zPwMNlXkNV574InzxaiE80\nvCkcYzwWAt0J94Y45342s4+AnZ1zn4W3OTMbip858T4+B+I8YvegVOd1uASPL/ecGCYAd+CHe9bg\nG5q74hNtI27E93R9BDQ2s87Oua/jOHe8BgJLzewUfF5KAT5P5s2oY2JdK95tIilnUT27IiKSIDPb\nAd/bMME5d18azj8feNs5NyH8uCWwxDm3e6qvFXXNrcBxzrnCdF1D6h4lComIJMDMDjSzYWbWxcx6\n4ntdHLGTiFNlbLhQ1774WUCvpOMiZnZHeOaOPolKyqmHQ0QkAWZ2ID6p9zf45NDFQJ5z7qM0Xa89\nflgOfI7QpfjE44crflbS12pN6dBZUYxZLyJJU4NDRERE0k5DKiIiIpJ2anCIiIhI2qnBISIiImmn\nBoeIiIiknRocIiIiknZqcIiIiEjaqcEhIiIiaacGh4iIiKSdGhwiIiKSdmpwiIiISNr9f7/9Kf2M\n8SOjAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fdf2c717898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if (sed.columns[1][wsed] > 0.).any():\n",
    "    ax1 = plt.subplot(gs[0])\n",
    "\n",
    "    ax1.loglog(wavelength_spec[wsed],\n",
    "                           (sed['dust.Umin_Umin'][wsed] +\n",
    "                            sed['dust.Umin_Umax'][wsed]),\n",
    "                           label=\"Dust emission\", color='r', marker=None,\n",
    "                           nonposy='clip', linestyle='-', linewidth=0.5)\n",
    "    ax1.loglog(wavelength_spec[wsed], sed['L_lambda_total'][wsed],\n",
    "                       label=\"\", color='white', nonposy='clip',\n",
    "                       linestyle='-', linewidth=0)\n",
    "\n",
    "    mask_ok = np.logical_and(obs_fluxes > 0., obs_fluxes_err > 0.)\n",
    "    ax1.errorbar(filters_wl[mask_ok], obs_fluxes[mask_ok],\n",
    "                         yerr=obs_fluxes_err[mask_ok]*3, ls='', marker='s',\n",
    "                         label='Observed fluxes', markerfacecolor='None',\n",
    "                         markersize=6, markeredgecolor='b', capsize=0.)\n",
    "\n",
    "    mask = np.where(obs_fluxes > 0.)\n",
    "\n",
    "    figure.subplots_adjust(hspace=0., wspace=0.)\n",
    "\n",
    "    ax1.set_xlim(xmin, xmax)\n",
    "    ymin = min(np.min(obs_fluxes[mask_ok]),\n",
    "                       np.min(mod_fluxes[mask_ok]))\n",
    "    ymax = max(np.max(obs_fluxes[mask_ok]),\n",
    "                           np.max(mod_fluxes[mask_ok]))\n",
    "    ax1.set_ylim(1e-1*ymin, 1e1*ymax)\n",
    "\n",
    "\n",
    "    ax1.set_xlabel(\"Observed wavelength [$\\mu$m]\")\n",
    "    ax1.set_ylabel(\"Flux [mJy]\")\n",
    "    ax1.legend(fontsize=6, loc='best', fancybox=True, framealpha=0.5)\n",
    "    plt.setp(ax1.get_xticklabels(), visible=False)\n",
    "    plt.setp(ax1.get_yticklabels()[1], visible=False)\n",
    "    print(\"Best model for {} at z = {:.2f}. best log(Ldust) = {:.2f}\". format(HELPid, z,log10((mod[obs['id'] == HELPid]['best.dust.luminosity'][0])/(3.846*pow(10,26)))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### MAIN BEST RESULTS FOR AGN component:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best fraction of AGN : 0.40\n",
      "best AGN liminosity: 12.21 [stellar luminosity]\n"
     ]
    }
   ],
   "source": [
    "print(\"best fraction of AGN : {:.2f}\".format((mod[obs['id'] == HELPid]['best.agn.fracAGN'][0])))\n",
    "if mod[obs['id'] == HELPid]['best.agn.fracAGN'][0]>0:\n",
    "    print(\"best AGN liminosity: {:.2f} [stellar luminosity]\".format(log10((mod[obs['id'] == HELPid]['best.agn.luminosity'][0])/(3.846*pow(10,26)))))\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best model for HELP_J095741.11+020226.47 at z = 1.49. best AGNfrac) = 0.40\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhwAAAEFCAYAAACozz6yAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\npZQKOk04lFJKKRV0mnAopZRSKuj+H9wsIrLOdc7iAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fdf2c80a160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if mod[obs['id'] == HELPid]['best.agn.fracAGN'][0]>0:\n",
    "\n",
    "    if (sed.columns[1][wsed] > 0.).any():\n",
    "        ax1 = plt.subplot(gs[0])\n",
    "        ax1.loglog(wavelength_spec[wsed],(sed['agn.fritz2006_therm'][wsed] + sed['agn.fritz2006_scatt'][wsed] + \n",
    "                    sed['agn.fritz2006_agn'][wsed]),label=\"AGN emission\", color='g', marker=None, nonposy='clip', linestyle='-', linewidth=0.5)\n",
    "        ax1.loglog(wavelength_spec[wsed], sed['L_lambda_total'][wsed], label=\"\", color='white', nonposy='clip',\n",
    "                       linestyle='-', linewidth=0)\n",
    "\n",
    "        mask_ok = np.logical_and(obs_fluxes > 0., obs_fluxes_err > 0.)\n",
    "        ax1.errorbar(filters_wl[mask_ok], obs_fluxes[mask_ok], yerr=obs_fluxes_err[mask_ok]*3, ls='', marker='s',\n",
    "                label='Observed fluxes', markerfacecolor='None',markersize=6, markeredgecolor='b', capsize=0.)\n",
    "\n",
    "        mask = np.where(obs_fluxes > 0.)\n",
    "\n",
    "        figure.subplots_adjust(hspace=0., wspace=0.)\n",
    "\n",
    "        ax1.set_xlim(xmin, xmax)\n",
    "        ymin = min(np.min(obs_fluxes[mask_ok]), np.min(mod_fluxes[mask_ok]))\n",
    "        ymax = max(np.max(obs_fluxes[mask_ok]), np.max(mod_fluxes[mask_ok]))\n",
    "        ax1.set_ylim(1e-1*ymin, 1e1*ymax)\n",
    "\n",
    "        ax1.set_xlabel(\"Observed wavelength [$\\mu$m]\")\n",
    "        ax1.set_ylabel(\"Flux [mJy]\")\n",
    "        ax1.legend(fontsize=6, loc='best', fancybox=True, framealpha=0.5)\n",
    "        plt.setp(ax1.get_xticklabels(), visible=False)\n",
    "        plt.setp(ax1.get_yticklabels()[1], visible=False)\n",
    "\n",
    "    print(\"Best model for {} at z = {:.2f}. best AGNfrac) = {:.2f}\". format(HELPid, z,(mod[obs['id'] == HELPid]['best.agn.fracAGN'][0])))    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### In the last step all modules are merge together to computed one best model (based on the $\\chi^2$) marked as a black line in the figure below. \n",
    "\n",
    "Modeled fluxes for each filter used for SED fitting are calculated based on the best model. The relative residual fluxes are ploted in the bottom panel of the figure. \n",
    "\n",
    "Final $\\chi^2$ value as well as main physical parameters computed based on PDF analysis are listed below:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "reduced $\\chi^2$ : 0.61 \n",
      "bayesian stellar mass 10.95 +/- 2.71 [M sun]:\n",
      "bayesian dust luminosity: 12.34 +/- 1.74 [L sun]\n",
      "bayesian SFR 331.96 +/- 116.94 [M sun / yr]:\n",
      "bayesian AGN fraction 0.32 +/- 0.11:\n"
     ]
    }
   ],
   "source": [
    "print(\"reduced $\\chi^2$ : {:.2f} \".format((mod[obs['id'] == HELPid]['best.reduced_chi_square'][0])))\n",
    "print(\"bayesian stellar mass {:.2f} +/- {:.2f} [M sun]:\".format(log10(mod[obs['id'] == HELPid]['bayes.stellar.m_star'][0]),0.434*(mod[obs['id'] == HELPid]['bayes.stellar.m_star'][0])/(mod[obs['id'] == HELPid]['bayes.stellar.m_star_err'][0])))\n",
    "print(\"bayesian dust luminosity: {:.2f} +/- {:.2f} [L sun]\".format(log10((mod[obs['id'] == HELPid]['bayes.dust.luminosity'][0])/(3.846*pow(10,26))),0.434*(mod[obs['id'] == HELPid]['bayes.dust.luminosity'][0])/(mod[obs['id'] == HELPid]['bayes.dust.luminosity_err'][0])))\n",
    "print(\"bayesian SFR {:.2f} +/- {:.2f} [M sun / yr]:\".format((mod[obs['id'] == HELPid]['bayes.sfh.sfr10Myrs'][0]),(mod[obs['id'] == HELPid]['bayes.sfh.sfr10Myrs_err'][0])))\n",
    "print(\"bayesian AGN fraction {:.2f} +/- {:.2f}:\".format((mod[obs['id'] == HELPid]['bayes.agn.fracAGN'][0]),(mod[obs['id'] == HELPid]['bayes.agn.fracAGN_err'][0])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best model for HELP_J095741.11+020226.47 at z = 1.49, best(Mstar) = 10.95, best log(Ldust) = 12.33, best AGNfrac = 0.32\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAicAAAF8CAYAAAAU8Rt0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nf3wyM7X23BocAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fdf2c6e7780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if (sed.columns[1][wsed] > 0.).any():\n",
    "    ax1 = plt.subplot(gs[0])\n",
    "    ax2 = plt.subplot(gs[1])\n",
    "    # Stellar emission\n",
    "    ax1.loglog(wavelength_spec[wsed], (sed['stellar.young'][wsed] + sed['attenuation.stellar.young'][wsed] + \n",
    "               sed['stellar.old'][wsed] + sed['attenuation.stellar.old'][wsed]), label=\"Stellar attenuated \", \n",
    "               color='orange', marker=None, nonposy='clip', linestyle='-',linewidth=0.5)\n",
    "    ax1.loglog(wavelength_spec[wsed],(sed['stellar.old'][wsed] + sed['stellar.young'][wsed]), \n",
    "               label=\"Stellar unattenuated\", color='b', marker=None,nonposy='clip', linestyle='--', linewidth=0.5)\n",
    "    #Dust emission\n",
    "    ax1.loglog(wavelength_spec[wsed], (sed['dust.Umin_Umin'][wsed] + sed['dust.Umin_Umax'][wsed]), \n",
    "               label=\"Dust emission\", color='r', marker=None, nonposy='clip', linestyle='-', linewidth=0.5)\n",
    "    # AGN emission Fritz\n",
    "    if 'agn.fritz2006_therm' in sed.columns:\n",
    "        ax1.loglog(wavelength_spec[wsed], (sed['agn.fritz2006_therm'][wsed] + sed['agn.fritz2006_scatt'][wsed] + \n",
    "                sed['agn.fritz2006_agn'][wsed]), label=\"AGN emission\", color='g', marker=None, nonposy='clip', \n",
    "                   linestyle='-', linewidth=0.5)\n",
    "\n",
    "    ax1.loglog(wavelength_spec[wsed], sed['L_lambda_total'][wsed], label=\"Model spectrum\", color='k', nonposy='clip',\n",
    "                       linestyle='-', linewidth=1.5)\n",
    "\n",
    "    ax1.set_autoscale_on(False)\n",
    "    ax1.scatter(filters_wl, mod_fluxes, marker='o', color='r', s=8,zorder=3, label=\"Model fluxes\")\n",
    "    mask_ok = np.logical_and(obs_fluxes > 0., obs_fluxes_err > 0.)\n",
    "    ax1.errorbar(filters_wl[mask_ok], obs_fluxes[mask_ok], yerr=obs_fluxes_err[mask_ok]*3, ls='', marker='s', \n",
    "                 label='Observed fluxes', markerfacecolor='None', markersize=6, markeredgecolor='b', capsize=0.)\n",
    "\n",
    "    mask = np.where(obs_fluxes > 0.)\n",
    "    ax2.errorbar(filters_wl[mask],(obs_fluxes[mask]-mod_fluxes[mask])/obs_fluxes[mask],  \n",
    "                 yerr=obs_fluxes_err[mask]/obs_fluxes[mask]*3, marker='_', label=\"(Obs-Mod)/Obs\", color='k', capsize=0.)\n",
    "    ax2.plot([xmin, xmax], [0., 0.], ls='--', color='k')\n",
    "    ax2.set_xscale('log')\n",
    "    ax2.minorticks_on()\n",
    "\n",
    "    figure.subplots_adjust(hspace=0., wspace=0.)\n",
    "\n",
    "    ax1.set_xlim(xmin, xmax)\n",
    "    ymin = min(np.min(obs_fluxes[mask_ok]),np.min(mod_fluxes[mask_ok]))\n",
    "    ymax = max(np.max(obs_fluxes[mask_ok]),np.max(mod_fluxes[mask_ok]))\n",
    "    ax1.set_ylim(1e-1*ymin, 1e1*ymax)\n",
    "    ax2.set_xlim(xmin, xmax)\n",
    "    ax2.set_ylim(-1.0, 1.0)\n",
    "\n",
    "    ax2.set_xlabel(\"Observed wavelength [$\\mu$m]\")\n",
    "    ax1.set_ylabel(\"Flux [mJy]\")\n",
    "    ax2.set_ylabel(\"Relative residual flux\")\n",
    "    ax1.legend(fontsize=6, loc='best', fancybox=True, framealpha=0.5)\n",
    "    ax2.legend(fontsize=6, loc='best', fancybox=True, framealpha=0.5)\n",
    "    plt.setp(ax1.get_xticklabels(), visible=False)\n",
    "    plt.setp(ax1.get_yticklabels()[1], visible=False)\n",
    "    \n",
    "    print(\"Best model for {} at z = {:.2f}, best(Mstar) = {:.2f}, best log(Ldust) = {:.2f}, best AGNfrac = {:.2f}\". \n",
    "          format(HELPid, z,log10(mod[obs['id'] == HELPid]['best.stellar.m_star'][0]),\n",
    "                 log10((mod[obs['id'] == HELPid]['best.dust.luminosity'][0])/(3.846*pow(10,26))), \n",
    "                 mod[obs['id'] == HELPid]['bayes.agn.fracAGN'][0]))    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Global redshift vs stellar mass, redshift vs dust luminosity and redshift vs SFR relations:\n",
    "\n",
    "### In three figures below red star corresponds to the analized galaxy: "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## redshift vs stellar mass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.5/site-packages/matplotlib/axes/_axes.py:531: UserWarning: No labelled objects found. Use label='...' kwarg on individual plots.\n",
      "  warnings.warn(\"No labelled objects found. \"\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhwAAAEWCAYAAAAtjU6HAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fdf2c9d6a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "mstar,red,ldust,sfr=[],[],[],[]\n",
    "for gal in range(0,len(mod)):\n",
    "    if mod[gal]['best.reduced_chi_square']<4:\n",
    "        mstar.append(log10(mod[gal]['bayes.stellar.m_star']))\n",
    "        red.append((mod[gal]['redshift']))\n",
    "        ldust.append(log10(mod[gal]['bayes.dust.luminosity']/(3.846*pow(10,26))))\n",
    "        sfr.append(log10(mod[gal]['bayes.sfh.sfr10Myrs']))\n",
    "\n",
    "mstar=np.array(mstar)\n",
    "red=np.array(red)\n",
    "ldust=np.array(ldust)\n",
    "sfr=np.array(sfr)\n",
    "\n",
    "ax1 = plt.subplot(gs[0])\n",
    "\n",
    "ax1.plot(red, mstar,'-o',c='lightgray',linewidth=0,linestyle=' ')\n",
    "specific_mstar=log10(mod[obs['id'] == HELPid]['bayes.stellar.m_star'][0])\n",
    "ax1.plot(z,specific_mstar,'-*',c='red',markersize=15)\n",
    "\n",
    "ax1.set_xlabel(\"redshift\")\n",
    "ax1.set_ylabel(\"log(Mstar)\")\n",
    "ax1.set_ylim(7, 12)\n",
    "\n",
    "ax1.legend(fontsize=6, loc='best', fancybox=True, framealpha=0.5) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## redshift vs dust luminosity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.5/site-packages/matplotlib/axes/_axes.py:531: UserWarning: No labelled objects found. Use label='...' kwarg on individual plots.\n",
      "  warnings.warn(\"No labelled objects found. \"\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhwAAAEWCAYAAAAtjU6HAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngS0ImfnyAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fdf2c75f160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax1 = plt.subplot(gs[0])\n",
    "\n",
    "ax1.plot(red, ldust,'-o',c='lightgray',linewidth=0,linestyle=' ')\n",
    "specific_Ldust=log10(mod[obs['id'] == HELPid]['bayes.dust.luminosity']/(3.846*pow(10,26)))\n",
    "ax1.plot(z,specific_Ldust,'-*',c='red',markersize=15)\n",
    "\n",
    "ax1.set_xlabel(\"redshift\")\n",
    "ax1.set_ylabel(\"log(Ldust)\")\n",
    "ax1.set_ylim(8, 14)\n",
    "\n",
    "ax1.legend(fontsize=6, loc='best', fancybox=True, framealpha=0.5) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## redshift vs SFR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.5/site-packages/matplotlib/axes/_axes.py:531: UserWarning: No labelled objects found. Use label='...' kwarg on individual plots.\n",
      "  warnings.warn(\"No labelled objects found. \"\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAh8AAAEWCAYAAADGuvWEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ni5LgQwghhBAt6v8Dg5aFHE8vErIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fdf2ca93ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax1 = plt.subplot(gs[0])\n",
    "\n",
    "ax1.plot(red, sfr,'-o',c='lightgray',linewidth=0,linestyle=' ')\n",
    "specific_sfr=log10(mod[obs['id'] == HELPid]['bayes.sfh.sfr10Myrs'])\n",
    "ax1.plot(z,specific_sfr,'-*',c='red',markersize=15)\n",
    "\n",
    "ax1.set_xlabel(\"redshift\")\n",
    "ax1.set_ylabel(\"log(SFR)\")\n",
    "ax1.set_ylim(-2, 4)\n",
    "\n",
    "ax1.legend(fontsize=6, loc='best', fancybox=True, framealpha=0.5) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
