plot_access_targets.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "282b41fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import astropy.units as u\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import pyvo as vo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "23d1cc1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>planet_name</th>\n",
       "      <th>disc_facility</th>\n",
       "      <th>tic_id</th>\n",
       "      <th>radius</th>\n",
       "      <th>pl_bmassj</th>\n",
       "      <th>eq_temp</th>\n",
       "      <th>st_rad</th>\n",
       "      <th>sy_jmag</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Kepler-276 c</td>\n",
       "      <td>Kepler</td>\n",
       "      <td>TIC 138213510</td>\n",
       "      <td>0.259</td>\n",
       "      <td>0.05200</td>\n",
       "      <td>563.0</td>\n",
       "      <td>1.03</td>\n",
       "      <td>14.234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Kepler-829 b</td>\n",
       "      <td>Kepler</td>\n",
       "      <td>TIC 123451768</td>\n",
       "      <td>0.188</td>\n",
       "      <td>0.01600</td>\n",
       "      <td>857.0</td>\n",
       "      <td>0.97</td>\n",
       "      <td>13.699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>K2-283 b</td>\n",
       "      <td>K2</td>\n",
       "      <td>TIC 266017624</td>\n",
       "      <td>0.314</td>\n",
       "      <td>0.03830</td>\n",
       "      <td>1186.0</td>\n",
       "      <td>0.82</td>\n",
       "      <td>12.579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Kepler-477 b</td>\n",
       "      <td>Kepler</td>\n",
       "      <td>TIC 158633329</td>\n",
       "      <td>0.185</td>\n",
       "      <td>0.01550</td>\n",
       "      <td>649.0</td>\n",
       "      <td>0.79</td>\n",
       "      <td>12.274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>HAT-P-15 b</td>\n",
       "      <td>HATNet</td>\n",
       "      <td>TIC 353459965</td>\n",
       "      <td>1.060</td>\n",
       "      <td>1.94000</td>\n",
       "      <td>904.0</td>\n",
       "      <td>1.07</td>\n",
       "      <td>10.194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3447</th>\n",
       "      <td>K2-357 b</td>\n",
       "      <td>K2</td>\n",
       "      <td>TIC 293459761</td>\n",
       "      <td>0.332</td>\n",
       "      <td>0.04200</td>\n",
       "      <td>735.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>12.366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3448</th>\n",
       "      <td>K2-356 b</td>\n",
       "      <td>K2</td>\n",
       "      <td>TIC 20536788</td>\n",
       "      <td>0.204</td>\n",
       "      <td>0.01840</td>\n",
       "      <td>624.0</td>\n",
       "      <td>0.86</td>\n",
       "      <td>11.957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3449</th>\n",
       "      <td>K2-355 b</td>\n",
       "      <td>K2</td>\n",
       "      <td>TIC 186853124</td>\n",
       "      <td>0.201</td>\n",
       "      <td>0.01790</td>\n",
       "      <td>1066.0</td>\n",
       "      <td>0.92</td>\n",
       "      <td>12.404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3450</th>\n",
       "      <td>TOI-1518 b</td>\n",
       "      <td>Multiple Observatories</td>\n",
       "      <td>TIC 427761355</td>\n",
       "      <td>1.875</td>\n",
       "      <td>2.30000</td>\n",
       "      <td>2492.0</td>\n",
       "      <td>1.95</td>\n",
       "      <td>8.429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3451</th>\n",
       "      <td>TIC 172900988 b</td>\n",
       "      <td>Transiting Exoplanet Survey Satellite (TESS)</td>\n",
       "      <td>TIC 172900988</td>\n",
       "      <td>1.004</td>\n",
       "      <td>2.96386</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.38</td>\n",
       "      <td>9.080</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3452 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          planet_name                                 disc_facility  \\\n",
       "0        Kepler-276 c                                        Kepler   \n",
       "1        Kepler-829 b                                        Kepler   \n",
       "2            K2-283 b                                            K2   \n",
       "3        Kepler-477 b                                        Kepler   \n",
       "4          HAT-P-15 b                                        HATNet   \n",
       "...               ...                                           ...   \n",
       "3447         K2-357 b                                            K2   \n",
       "3448         K2-356 b                                            K2   \n",
       "3449         K2-355 b                                            K2   \n",
       "3450       TOI-1518 b                        Multiple Observatories   \n",
       "3451  TIC 172900988 b  Transiting Exoplanet Survey Satellite (TESS)   \n",
       "\n",
       "             tic_id  radius  pl_bmassj  eq_temp  st_rad  sy_jmag  \n",
       "0     TIC 138213510   0.259    0.05200    563.0    1.03   14.234  \n",
       "1     TIC 123451768   0.188    0.01600    857.0    0.97   13.699  \n",
       "2     TIC 266017624   0.314    0.03830   1186.0    0.82   12.579  \n",
       "3     TIC 158633329   0.185    0.01550    649.0    0.79   12.274  \n",
       "4     TIC 353459965   1.060    1.94000    904.0    1.07   10.194  \n",
       "...             ...     ...        ...      ...     ...      ...  \n",
       "3447  TIC 293459761   0.332    0.04200    735.0    1.00   12.366  \n",
       "3448   TIC 20536788   0.204    0.01840    624.0    0.86   11.957  \n",
       "3449  TIC 186853124   0.201    0.01790   1066.0    0.92   12.404  \n",
       "3450  TIC 427761355   1.875    2.30000   2492.0    1.95    8.429  \n",
       "3451  TIC 172900988   1.004    2.96386      NaN    1.38    9.080  \n",
       "\n",
       "[3452 rows x 8 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Download catalog\n",
    "service = vo.dal.TAPService(\"https://exoplanetarchive.ipac.caltech.edu/TAP\")\n",
    "\n",
    "# List of column names: https://exoplanetarchive.ipac.caltech.edu/docs/API_PS_columns.html\n",
    "sql_query = \"SELECT pl_name,disc_facility,tic_id,pl_radj,pl_bmassj,pl_eqt,st_rad,sy_jmag \"+\\\n",
    "            \"FROM pscomppars \"+\\\n",
    "            \"WHERE tran_flag=1\"\n",
    "\n",
    "results = service.search(sql_query)\n",
    "\n",
    "# Save to table:\n",
    "df = results.to_table().to_pandas()\n",
    "df.rename(columns={'pl_name': 'planet_name', 'pl_eqt': 'eq_temp', 'pl_radj': 'radius'}, inplace=True)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "77f43701",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\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>planet_name</th>\n",
       "      <th>published</th>\n",
       "      <th>in_prep</th>\n",
       "      <th>obs_complete</th>\n",
       "      <th>future</th>\n",
       "      <th>n_obs_successful</th>\n",
       "      <th>n_obs_unsuccessful</th>\n",
       "      <th>n_scheduled_total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GJ 1214 b</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>HAT-P-23 b</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>HAT-P-26 b</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>HATS-5 b</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>WASP-4 b</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>WASP-16 b</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>WASP-18 b</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>WASP-19 b</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>WASP-31 b</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>WASP-39 b</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>WASP-43 b</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>WASP-50 b</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>WASP-80 b</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>WASP-96 b</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>WASP-98 b</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>WASP-103 b</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>WASP-107 b</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   planet_name  published  in_prep  obs_complete  future  n_obs_successful  \\\n",
       "0    GJ 1214 b          1        0             1       0                 3   \n",
       "1   HAT-P-23 b          1        0             1       0                 5   \n",
       "2   HAT-P-26 b          0        0             0       1                 2   \n",
       "3     HATS-5 b          0        0             1       0                 3   \n",
       "4     WASP-4 b          1        0             1       0                 4   \n",
       "5    WASP-16 b          0        0             1       0                 3   \n",
       "6    WASP-18 b          0        0             1       0                 3   \n",
       "7    WASP-19 b          1        0             1       0                 6   \n",
       "8    WASP-31 b          1        0             1       0                 3   \n",
       "9    WASP-39 b          0        0             1       0                 2   \n",
       "10   WASP-43 b          1        0             1       0                 4   \n",
       "11   WASP-50 b          0        1             1       0                 5   \n",
       "12   WASP-80 b          0        0             1       0                 3   \n",
       "13   WASP-96 b          0        1             1       0                 2   \n",
       "14   WASP-98 b          0        0             1       0                 3   \n",
       "15  WASP-103 b          1        0             1       0                 4   \n",
       "16  WASP-107 b          0        0             1       0                 3   \n",
       "\n",
       "    n_obs_unsuccessful  n_scheduled_total  \n",
       "0                    0                  3  \n",
       "1                    5                 10  \n",
       "2                    2                  4  \n",
       "3                    3                  6  \n",
       "4                    2                  6  \n",
       "5                    5                  8  \n",
       "6                    2                  5  \n",
       "7                    1                  7  \n",
       "8                    1                  4  \n",
       "9                    2                  4  \n",
       "10                   2                  6  \n",
       "11                   1                  6  \n",
       "12                   6                  9  \n",
       "13                   0                  2  \n",
       "14                   0                  3  \n",
       "15                   3                  7  \n",
       "16                   1                  4  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load ACCCESS targets\n",
    "df2 = pd.read_csv('targets.csv')\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a04c16aa",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f0084e14c70>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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\n",
      "text/plain": [
       "<Figure size 1800x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "################################################################################\n",
    "# Make figure\n",
    "fig, ax = plt.subplots(figsize=(25, 15))\n",
    "ax.set_title('ACCESS Targets')\n",
    "ax.set_xlabel('Equlibrium Temperature (K)')\n",
    "ax.set_ylabel('Planetary Radius ($R_{Jup}$)')\n",
    "\n",
    "# transition temperatures between important molecules in exoplanet atmospheres. Gotten from Ben's 2016 ACCESS poster\n",
    "H2O = 300\n",
    "NH3_N2 = 600\n",
    "CH4_CO = 1000\n",
    "MnS = 1300\n",
    "Silicates_MetalOxides = [1600,1900]\n",
    "ax.axvline(x = H2O, ls = '--', color ='k', alpha=0.5)\n",
    "ax.text(H2O-35, 1.3, '$H_2O$')\n",
    "ax.axvline(x = NH3_N2, ls = '--', color ='k', alpha=0.5)\n",
    "ax.text(NH3_N2-70, 1.5, '$NH_3 -> N_2$')\n",
    "ax.axvline(x = CH4_CO, ls = '--', color ='k', alpha=0.5)\n",
    "ax.text(CH4_CO-70, 1.6, '$CH_4 -> CO$')\n",
    "ax.axvline(x = MnS, ls = '--', color ='k', alpha=0.5)\n",
    "ax.text(MnS-30, 1.75, 'MnS')\n",
    "ax.axvspan(Silicates_MetalOxides[0], Silicates_MetalOxides[1], alpha=0.25, color='k')\n",
    "ax.text(np.mean(Silicates_MetalOxides)-150, .6, 'Silicates/Metal-oxides')\n",
    "\n",
    "# Plot all exoplanets\n",
    "ax.plot(df.eq_temp, df.radius,\n",
    "        ls='', marker='o', mec='lightgray', mfc='None', ms=4, label='')\n",
    "\n",
    "# Plot our targets\n",
    "for name in df2.planet_name[df2.future==1]:\n",
    "    target = df[df.planet_name==name]\n",
    "    ax.plot(target.eq_temp, target.radius,\n",
    "            ls='', marker='o', mec='k', mfc='gray', ms=10, label='')\n",
    "for name in df2.planet_name[df2.obs_complete==1]:\n",
    "    target = df[df.planet_name==name]\n",
    "    ax.plot(target.eq_temp, target.radius,\n",
    "            ls='', marker='o', mec='k', mfc='C1', ms=10, label='')\n",
    "for name in df2.planet_name[df2.in_prep==1]:\n",
    "    target = df[df.planet_name==name]\n",
    "    ax.plot(target.eq_temp, target.radius,\n",
    "            ls='', marker='o', mec='k', mfc='C0', ms=10, label='')\n",
    "for name in df2.planet_name[df2.published==1]:\n",
    "    target = df[df.planet_name==name]\n",
    "    ax.plot(target.eq_temp, target.radius,\n",
    "            ls='', marker='o', mec='k', mfc='C2', ms=10, label='')\n",
    "\n",
    "# Hack a legend\n",
    "ax.plot([], [], ls='', marker='o', mec='k', mfc='C2', ms=10, label='Published')\n",
    "ax.plot([], [], ls='', marker='o', mec='k', mfc='C0', ms=10, label='Paper in Prep.')\n",
    "ax.plot([], [], ls='', marker='o', mec='k', mfc='C1', ms=10, label='Analysis Underway')\n",
    "ax.plot([], [], ls='', marker='o', mec='k', mfc='gray', ms=10, label='Collecting Data')\n",
    "ax.plot([], [], ls='--', color='k', ms=4, label='Temp. transition of molecules', alpha=0.5)\n",
    "ax.legend(loc='upper left')\n",
    "\n",
    "#plt.savefig('access_targets.pdf', bbox_inches='tight')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}