{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Quickstart"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With `GaiaAlertsPy` installed, you can easily extract each detection from the Gaia alerts."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from GaiaAlertsPy import alert as gaap\n",
    "from matplotlib import rcParams\n",
    "\n",
    "# fancy plotting\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = \"retina\"\n",
    "from matplotlib import rcParams\n",
    "rcParams['savefig.dpi'] = 550\n",
    "rcParams['font.size'] = 20\n",
    "plt.rc('font', family='serif')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For example, let’s download and display the light curve for a specific alert, identified as Gaia20dvt. First, start Python and use the GaiaAlert class to obtain the light curve data for the alert from the data archive:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "target_id = \"Gaia20dvt\" \n",
    "alert_lc = gaap.GaiaAlert(target_id).query_lightcurve_alert()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can inspect the `alert_lc` table that returns all the detections: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><i>Table length=5</i>\n",
       "<table id=\"table5102059088\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>JD</th><th>mag_G</th><th>mag_G_error</th></tr></thead>\n",
       "<thead><tr><th>float64</th><th>float64</th><th>float64</th></tr></thead>\n",
       "<tr><td>2457078.0103472224</td><td>17.64</td><td>0.018908738194109986</td></tr>\n",
       "<tr><td>2457078.084351852</td><td>17.63</td><td>0.018855080650021172</td></tr>\n",
       "<tr><td>2457105.321666667</td><td>17.55</td><td>0.01843832729193906</td></tr>\n",
       "<tr><td>2457105.4978009257</td><td>17.6</td><td>0.018696221071923702</td></tr>\n",
       "<tr><td>2457128.992175926</td><td>17.48</td><td>0.01809111962074983</td></tr>\n",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=5>\n",
       "        JD          mag_G      mag_G_error     \n",
       "     float64       float64       float64       \n",
       "------------------ ------- --------------------\n",
       "2457078.0103472224   17.64 0.018908738194109986\n",
       " 2457078.084351852   17.63 0.018855080650021172\n",
       " 2457105.321666667   17.55  0.01843832729193906\n",
       "2457105.4978009257    17.6 0.018696221071923702\n",
       " 2457128.992175926   17.48  0.01809111962074983"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alert_lc[0:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the light curve:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 475,
       "width": 872
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(10,5))\n",
    "ax.errorbar(alert_lc['JD']-2.45e6, alert_lc['mag_G'], alert_lc['mag_G_error'], fmt='o', capsize=1, color='seagreen', \n",
    "label='Gaia-G')\n",
    "ax.legend()\n",
    "ax.set_ylim(ax.set_ylim()[::-1])\n",
    "ax.set_xlabel(\"Julian Date - 2.45e6 [days]\")\n",
    "ax.set_ylabel(\"Magnitude\")\n",
    "plt.minorticks_on()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "cats",
   "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": "3.9.19"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}