notebooks/Overview Paper.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Evaluating the m5 limits ###\n",
    "\n",
    "Create \"table 2\" and \"figure 4\", from the overview paper.\n",
    "\n",
    "This uses fiducial construction numbers for the seeing and skybrightness."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import syseng_throughputs as st"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.precision', 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read bandpass information.\n",
    "defaultDirs = st.setDefaultDirs()\n",
    "addLosses = True\n",
    "# Use the X=1.0 atmosphere!\n",
    "atmosphere = st.readAtmosphere(defaultDirs['atmosphere'], atmosFile='atmos_10_aerosol.dat')\n",
    "hardware, system = st.buildHardwareAndSystem(defaultDirs, addLosses, atmosphereOverride=atmosphere)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>nexp</th>\n",
       "      <th>exptime</th>\n",
       "      <th>FWHMeff</th>\n",
       "      <th>FWHMgeom</th>\n",
       "      <th>skyMag</th>\n",
       "      <th>skyCounts</th>\n",
       "      <th>Zp_t</th>\n",
       "      <th>Tb</th>\n",
       "      <th>Sb</th>\n",
       "      <th>kAtm</th>\n",
       "      <th>gamma</th>\n",
       "      <th>Cm</th>\n",
       "      <th>dCm_infinity</th>\n",
       "      <th>dCm_double</th>\n",
       "      <th>m5</th>\n",
       "      <th>sourceCounts</th>\n",
       "      <th>m5_fid</th>\n",
       "      <th>m5_min</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>u</th>\n",
       "      <td>2.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.92</td>\n",
       "      <td>0.808</td>\n",
       "      <td>23.052</td>\n",
       "      <td>45.303</td>\n",
       "      <td>26.524</td>\n",
       "      <td>0.023</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.470</td>\n",
       "      <td>0.038</td>\n",
       "      <td>22.719</td>\n",
       "      <td>0.792</td>\n",
       "      <td>0.533</td>\n",
       "      <td>23.449</td>\n",
       "      <td>509.804</td>\n",
       "      <td>23.9</td>\n",
       "      <td>23.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>g</th>\n",
       "      <td>2.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0.767</td>\n",
       "      <td>22.254</td>\n",
       "      <td>463.634</td>\n",
       "      <td>28.508</td>\n",
       "      <td>0.143</td>\n",
       "      <td>0.173</td>\n",
       "      <td>0.213</td>\n",
       "      <td>0.039</td>\n",
       "      <td>24.512</td>\n",
       "      <td>0.159</td>\n",
       "      <td>0.083</td>\n",
       "      <td>24.902</td>\n",
       "      <td>830.797</td>\n",
       "      <td>25.0</td>\n",
       "      <td>24.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>r</th>\n",
       "      <td>2.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.734</td>\n",
       "      <td>21.198</td>\n",
       "      <td>988.627</td>\n",
       "      <td>28.361</td>\n",
       "      <td>0.124</td>\n",
       "      <td>0.140</td>\n",
       "      <td>0.126</td>\n",
       "      <td>0.039</td>\n",
       "      <td>24.565</td>\n",
       "      <td>0.081</td>\n",
       "      <td>0.040</td>\n",
       "      <td>24.479</td>\n",
       "      <td>1071.593</td>\n",
       "      <td>24.7</td>\n",
       "      <td>24.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>i</th>\n",
       "      <td>2.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.710</td>\n",
       "      <td>20.463</td>\n",
       "      <td>1588.281</td>\n",
       "      <td>28.171</td>\n",
       "      <td>0.105</td>\n",
       "      <td>0.114</td>\n",
       "      <td>0.096</td>\n",
       "      <td>0.039</td>\n",
       "      <td>24.517</td>\n",
       "      <td>0.052</td>\n",
       "      <td>0.024</td>\n",
       "      <td>24.103</td>\n",
       "      <td>1271.704</td>\n",
       "      <td>24.0</td>\n",
       "      <td>23.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>z</th>\n",
       "      <td>2.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.78</td>\n",
       "      <td>0.693</td>\n",
       "      <td>19.606</td>\n",
       "      <td>2381.945</td>\n",
       "      <td>27.782</td>\n",
       "      <td>0.073</td>\n",
       "      <td>0.078</td>\n",
       "      <td>0.068</td>\n",
       "      <td>0.039</td>\n",
       "      <td>24.354</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.016</td>\n",
       "      <td>23.540</td>\n",
       "      <td>1492.761</td>\n",
       "      <td>23.3</td>\n",
       "      <td>22.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>y</th>\n",
       "      <td>2.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.677</td>\n",
       "      <td>18.602</td>\n",
       "      <td>2717.112</td>\n",
       "      <td>26.818</td>\n",
       "      <td>0.030</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.171</td>\n",
       "      <td>0.039</td>\n",
       "      <td>23.825</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0.014</td>\n",
       "      <td>22.537</td>\n",
       "      <td>1546.915</td>\n",
       "      <td>22.1</td>\n",
       "      <td>21.7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   nexp  exptime  FWHMeff  FWHMgeom  skyMag  skyCounts    Zp_t     Tb     Sb  \\\n",
       "u   2.0     15.0     0.92     0.808  23.052     45.303  26.524  0.023  0.035   \n",
       "g   2.0     15.0     0.87     0.767  22.254    463.634  28.508  0.143  0.173   \n",
       "r   2.0     15.0     0.83     0.734  21.198    988.627  28.361  0.124  0.140   \n",
       "i   2.0     15.0     0.80     0.710  20.463   1588.281  28.171  0.105  0.114   \n",
       "z   2.0     15.0     0.78     0.693  19.606   2381.945  27.782  0.073  0.078   \n",
       "y   2.0     15.0     0.76     0.677  18.602   2717.112  26.818  0.030  0.035   \n",
       "\n",
       "    kAtm  gamma      Cm  dCm_infinity  dCm_double      m5  sourceCounts  \\\n",
       "u  0.470  0.038  22.719         0.792       0.533  23.449       509.804   \n",
       "g  0.213  0.039  24.512         0.159       0.083  24.902       830.797   \n",
       "r  0.126  0.039  24.565         0.081       0.040  24.479      1071.593   \n",
       "i  0.096  0.039  24.517         0.052       0.024  24.103      1271.704   \n",
       "z  0.068  0.039  24.354         0.035       0.016  23.540      1492.761   \n",
       "y  0.171  0.039  23.825         0.031       0.014  22.537      1546.915   \n",
       "\n",
       "   m5_fid  m5_min  \n",
       "u    23.9    23.4  \n",
       "g    25.0    24.6  \n",
       "r    24.7    24.3  \n",
       "i    24.0    23.6  \n",
       "z    23.3    22.9  \n",
       "y    22.1    21.7  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Standard LSST visits, standard LSST readnoise and 1 visit = 15s x 2exp\n",
    "m5_std = st.makeM5(hardware, system, exptime=15, nexp=2, readnoise=8.8, othernoise=0, darkcurrent=0.2)\n",
    "m5_std"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Now also use X=1.2 atmosphere.\n",
    "defaultDirs = st.setDefaultDirs()\n",
    "addLosses = True\n",
    "atmosphere = st.readAtmosphere(defaultDirs['atmosphere'], atmosFile='pachonModtranAtm_12_aerosol.dat')\n",
    "hardware, system = st.buildHardwareAndSystem(defaultDirs, addLosses, atmosphereOverride=atmosphere)\n",
    "# Calculate degraded seeing values (have to increase FWHM from default values)\n",
    "\n",
    "# And calculate m5 for a standard visit. \n",
    "m5_X = st.makeM5(hardware, system, exptime=15, nexp=2, readnoise=8.8, othernoise=0, darkcurrent=0.2, X=1.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add degradation of m5 when X=1.2 into m5_std columns (dCm_double for double visit time already there)\n",
    "m5_std['m5_1.2'] = m5_X['m5']\n",
    "m5_std['dM5_1.2'] = m5_std['m5'] - m5_X['m5']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>u</th>\n",
       "      <th>g</th>\n",
       "      <th>r</th>\n",
       "      <th>i</th>\n",
       "      <th>z</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>skyMag</th>\n",
       "      <td>23.052</td>\n",
       "      <td>22.254</td>\n",
       "      <td>21.198</td>\n",
       "      <td>20.463</td>\n",
       "      <td>19.606</td>\n",
       "      <td>18.602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FWHMgeom</th>\n",
       "      <td>0.808</td>\n",
       "      <td>0.767</td>\n",
       "      <td>0.734</td>\n",
       "      <td>0.710</td>\n",
       "      <td>0.693</td>\n",
       "      <td>0.677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FWHMeff</th>\n",
       "      <td>0.920</td>\n",
       "      <td>0.870</td>\n",
       "      <td>0.830</td>\n",
       "      <td>0.800</td>\n",
       "      <td>0.780</td>\n",
       "      <td>0.760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gamma</th>\n",
       "      <td>0.038</td>\n",
       "      <td>0.039</td>\n",
       "      <td>0.039</td>\n",
       "      <td>0.039</td>\n",
       "      <td>0.039</td>\n",
       "      <td>0.039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kAtm</th>\n",
       "      <td>0.470</td>\n",
       "      <td>0.213</td>\n",
       "      <td>0.126</td>\n",
       "      <td>0.096</td>\n",
       "      <td>0.068</td>\n",
       "      <td>0.171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cm</th>\n",
       "      <td>22.719</td>\n",
       "      <td>24.512</td>\n",
       "      <td>24.565</td>\n",
       "      <td>24.517</td>\n",
       "      <td>24.354</td>\n",
       "      <td>23.825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>m5</th>\n",
       "      <td>23.449</td>\n",
       "      <td>24.902</td>\n",
       "      <td>24.479</td>\n",
       "      <td>24.103</td>\n",
       "      <td>23.540</td>\n",
       "      <td>22.537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dCm_infinity</th>\n",
       "      <td>0.792</td>\n",
       "      <td>0.159</td>\n",
       "      <td>0.081</td>\n",
       "      <td>0.052</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dCm_double</th>\n",
       "      <td>0.533</td>\n",
       "      <td>0.083</td>\n",
       "      <td>0.040</td>\n",
       "      <td>0.024</td>\n",
       "      <td>0.016</td>\n",
       "      <td>0.014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dM5_1.2</th>\n",
       "      <td>0.209</td>\n",
       "      <td>0.159</td>\n",
       "      <td>0.142</td>\n",
       "      <td>0.133</td>\n",
       "      <td>0.130</td>\n",
       "      <td>0.140</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   u       g       r       i       z       y\n",
       "skyMag        23.052  22.254  21.198  20.463  19.606  18.602\n",
       "FWHMgeom       0.808   0.767   0.734   0.710   0.693   0.677\n",
       "FWHMeff        0.920   0.870   0.830   0.800   0.780   0.760\n",
       "gamma          0.038   0.039   0.039   0.039   0.039   0.039\n",
       "kAtm           0.470   0.213   0.126   0.096   0.068   0.171\n",
       "Cm            22.719  24.512  24.565  24.517  24.354  23.825\n",
       "m5            23.449  24.902  24.479  24.103  23.540  22.537\n",
       "dCm_infinity   0.792   0.159   0.081   0.052   0.035   0.031\n",
       "dCm_double     0.533   0.083   0.040   0.024   0.016   0.014\n",
       "dM5_1.2        0.209   0.159   0.142   0.133   0.130   0.140"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols = m5_std.columns\n",
    "cols = ['skyMag', 'FWHMgeom', 'FWHMeff', 'gamma', 'kAtm', 'Cm', 'm5', 'dCm_infinity', 'dCm_double', 'dM5_1.2']\n",
    "m5_std[cols].T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\\begin{tabular}{lrrrrrr}\n",
      "\\toprule\n",
      " & u & g & r & i & z & y \\\\\n",
      "\\midrule\n",
      "skyMag & 23.051983 & 22.253839 & 21.197579 & 20.462795 & 19.606305 & 18.601512 \\\\\n",
      "FWHMgeom & 0.808240 & 0.767140 & 0.734260 & 0.709600 & 0.693160 & 0.676720 \\\\\n",
      "FWHMeff & 0.920000 & 0.870000 & 0.830000 & 0.800000 & 0.780000 & 0.760000 \\\\\n",
      "gamma & 0.038038 & 0.038796 & 0.039067 & 0.039214 & 0.039330 & 0.039354 \\\\\n",
      "kAtm & 0.470116 & 0.212949 & 0.126369 & 0.095764 & 0.068417 & 0.171009 \\\\\n",
      "Cm & 22.719265 & 24.511574 & 24.564727 & 24.516816 & 24.354430 & 23.825489 \\\\\n",
      "m5 & 23.448532 & 24.902441 & 24.478566 & 24.103234 & 23.540091 & 22.536956 \\\\\n",
      "dCm_infinity & 0.791741 & 0.159045 & 0.080846 & 0.051845 & 0.035176 & 0.030969 \\\\\n",
      "dCm_double & 0.533210 & 0.083120 & 0.039552 & 0.024281 & 0.015802 & 0.013657 \\\\\n",
      "dM5_1.2 & 0.209045 & 0.159261 & 0.142214 & 0.133247 & 0.129969 & 0.140261 \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(m5_std[cols].T.to_latex())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1a8b95d10>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Generate the plot for Figure 4, using X=1.2\n",
    "plt.figure(figsize=(10, 7))\n",
    "st.plotBandpasses(system, title='LSST System Throughput', addlegend=False, newfig=False)\n",
    "plt.plot(atmosphere.wavelen, atmosphere.sb, 'k:', label='X=1.2')\n",
    "plt.ylabel(\"Throughput\")\n",
    "plt.legend(loc='right', numpoints=1, fancybox=True, shadow=True, fontsize='large')\n",
    "#plt.savefig('Figure4.pdf', format='pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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