plots_RubinToO2024.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Rubin ToO Strategies\n",
    "This notebook was put together to aid visualization of possible strategies to adopt for Target of Opportunity (ToO) observations with Vera C. Rubin Observatory. The notebook provides code for:\n",
    "- visualization of the ToO observing strategies\n",
    "- light curves plots\n",
    "- exposure time calculator (ETC) to convert exposure times to limiting magnitudes and vice-versa\n",
    "- time budget calculations\n",
    "\n",
    "Notebook template author: Igor Andreoni <<igor.andreoni@gmail.com>>\n",
    "\n",
    "### Requirements\n",
    "\n",
    "Python3\n",
    "\n",
    "- numpy\n",
    "- matplotlib\n",
    "- math\n",
    "- scipy\n",
    "- collections\n",
    "- astropy\n",
    "\n",
    "Custom scripts\n",
    "- chart.py\n",
    "- etc.py\n",
    "- plot_lc.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import math\n",
    "import matplotlib.pyplot as plt\n",
    "from collections import OrderedDict\n",
    "import pandas as pd\n",
    "\n",
    "# Import the custom exposure time calculator\n",
    "import etc\n",
    "\n",
    "# Import the function to make the Gantt chart\n",
    "from chart import makeChart"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Build a dictionary with the strategies that you want to be seen on the same plot. \n",
    "The keys of the dictionary will be the nicknames of the strategies (for example, `strategy1`, `strategy2`).\n",
    "\n",
    "Notes:\n",
    "- The LSSTCam filter wheel holds 5 filters on a given night. The bluer and redder filters, u and y, will be swapped depending on the lunation. If all 6 filters are added to the plot, we shall assume that 5 available filters will be used in the ToOs.\n",
    "- The length of the exposure time list (`exptimes` key) must be the same length as the cadence list (`cadence_hr` key) and the filters list (`filters` key)\n",
    "- The cadence must be given in hours, the exposure times in seconds, the filters as a list or in the form `'ugrizy'`\n",
    "- The `depths` are 5sigma limiting magnitudes in all bands, the corresponding exptime will be the median of the exposure times for the filters provided in each strategy\n",
    "- <b>Important:</b> If both \"depths\" and \"exptimes_median\" are given, \"depths\" will dominate. If `\"depths\": [ ]` and `exptimes_median` is given, then the depths will be calculated automatically."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define the strategy\n",
    "strategies = {\n",
    "    'Fabulous Strategy': {\"cadence_hr\": [4, 24, 48],\n",
    "                   \"exptimes_median\": [], # if this list is given\n",
    "                   \"exptimes\": [],\n",
    "                   \"depths\": [24.5, 25, 25],\n",
    "                   \"filters\": ['ugrizy', 'ugrizy', 'ugrizy']},\n",
    "    'Less Fabulous': {\"cadence_hr\": [6, 48],\n",
    "                   \"exptimes_median\": [30, 30], # if this list is given\n",
    "                   \"exptimes\": [],\n",
    "                   \"depths\": [],\n",
    "                   \"filters\": ['grz', 'grz']}\n",
    "}\n",
    "\n",
    "# Airmass for the observations (>= 1.)\n",
    "airmass = 1.0\n",
    "\n",
    "# When is the timeline starting? e.g., Rubin Trigger, NS-NS merger, ...\n",
    "event_name = \"start of Rubin observing window\"\n",
    "\n",
    "# Output file name\n",
    "filename_out = \"plot_strategy.pdf\"\n",
    "\n",
    "# Define the colors for the Rubin filters\n",
    "filters_color_dict = {'u':'b', 'g':'g', 'r':'r', 'i':'yellow', 'z':'k', 'y':'orange'}\n",
    "\n",
    "# Define the sequence of markers for different exposure times\n",
    "# (the sequence will be ordered by increasing exposure time)\n",
    "exptimes_marker_list = [\"o\", \"s\", \"p\", \"h\", \"8\", '^']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Survey Strategy Visualization\n",
    "\n",
    "The template code was used to produce some figures published in Andreoni et al. (2022), The Astrophysical Journal Supplement Series, Volume 260, Issue 1, id.18, 17 pp."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fabulous Strategy: Using DEPTHS to calculate the exposure times\n",
      "Using MEDIAN EXPOSURE TIMES to calculate the depths\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# If depths are given, then compute the exposure times\n",
    "strategy_names = list(strategies.keys())\n",
    "for i in range(len(strategy_names)):\n",
    "    # Check if depths are given, as they will dominate\n",
    "    if len(strategies[strategy_names[i]][\"depths\"]) > 0:\n",
    "        print(f\"{strategy_names[i]}: Using DEPTHS to calculate the exposure times\")\n",
    "        # Initiate the exposure times list\n",
    "        strategies[strategy_names[i]][\"exptimes\"] = []\n",
    "        # Iterate over the epochs\n",
    "        for j in np.arange(len(strategies[strategy_names[i]][\"depths\"])):\n",
    "            depth = strategies[strategy_names[i]][\"depths\"][j]\n",
    "            # Iterate over the filters\n",
    "            exptimes_epoch = []\n",
    "            for filt in strategies[strategy_names[i]][\"filters\"][j]:\n",
    "                exptime = int(np.round(etc.get_exptime(depth, filt, X=airmass)))\n",
    "                exptimes_epoch.append(exptime)\n",
    "            # Add the average exposure time to the strategies dictionary\n",
    "            strategies[strategy_names[i]][\"exptimes_median\"].append(int(np.round(np.median(exptimes_epoch))))\n",
    "            # Detailed exposure times\n",
    "            strategies[strategy_names[i]][\"exptimes\"].append([int(np.round(x)) for x in exptimes_epoch])\n",
    "          \n",
    "    else:\n",
    "        print(\"Using MEDIAN EXPOSURE TIMES to calculate the depths\")\n",
    "        # Initiate the depths times list\n",
    "        strategies[strategy_names[i]][\"depths\"] = []\n",
    "        # Iterate over the epochs\n",
    "        for j in np.arange(len(strategies[strategy_names[i]][\"exptimes_median\"])):\n",
    "            exptime_median = strategies[strategy_names[i]][\"exptimes_median\"][j]\n",
    "            # Initialize a list of depths\n",
    "            depths = []\n",
    "            # Get the depth for each filter\n",
    "            for filt in strategies[strategy_names[i]][\"filters\"][j]:\n",
    "                depth = int(np.round(etc.get_m5(exptime_median, filt, X=airmass)))\n",
    "                depths.append(depth)\n",
    "            # Exposure times for the epoch\n",
    "            exptimes_epoch = [exptime_median] * len(strategies[strategy_names[i]][\"filters\"][j])\n",
    "            # Add the median depth to the strategies dictionary\n",
    "            strategies[strategy_names[i]][\"depths\"].append(np.median(depths))\n",
    "            # Detailed exposure times\n",
    "            strategies[strategy_names[i]][\"exptimes\"].append([int(np.round(x)) for x in exptimes_epoch])        \n",
    "\n",
    "# Create the gantt chart\n",
    "fig, ax = makeChart(strategies, event=event_name,\n",
    "                    filters_color_dict=filters_color_dict,\n",
    "                    exptimes_marker_list=exptimes_marker_list)\n",
    "\n",
    "# Save the figure and show the plot\n",
    "plt.savefig(filename_out, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "See how the `strategies` dictionary has been populated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Fabulous Strategy': {'cadence_hr': [4, 24, 48],\n",
       "  'exptimes_median': [96, 240, 240],\n",
       "  'exptimes': [[131, 13, 29, 60, 170, 1088],\n",
       "   [330, 32, 73, 150, 428, 2732],\n",
       "   [330, 32, 73, 150, 428, 2732]],\n",
       "  'depths': [24.5, 25, 25],\n",
       "  'filters': ['ugrizy', 'ugrizy', 'ugrizy']},\n",
       " 'Less Fabulous': {'cadence_hr': [6, 48],\n",
       "  'exptimes_median': [30, 30],\n",
       "  'exptimes': [[30, 30, 30], [30, 30, 30]],\n",
       "  'depths': [25.0, 25.0],\n",
       "  'filters': ['grz', 'grz']}}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "strategies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Print the results in a more readable format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " Strategy name: Fabulous Strategy\n",
      "    Epoch: 4 hr\n",
      "        Filter: u Depth: 24.5mag, exptime: 131s\n",
      "        Filter: g Depth: 24.5mag, exptime: 13s\n",
      "        Filter: r Depth: 24.5mag, exptime: 29s\n",
      "        Filter: i Depth: 24.5mag, exptime: 60s\n",
      "        Filter: z Depth: 24.5mag, exptime: 170s\n",
      "        Filter: y Depth: 24.5mag, exptime: 1088s\n",
      "        Median exposure time: 96s\n",
      "    Epoch: 24 hr\n",
      "        Filter: u Depth: 25mag, exptime: 330s\n",
      "        Filter: g Depth: 25mag, exptime: 32s\n",
      "        Filter: r Depth: 25mag, exptime: 73s\n",
      "        Filter: i Depth: 25mag, exptime: 150s\n",
      "        Filter: z Depth: 25mag, exptime: 428s\n",
      "        Filter: y Depth: 25mag, exptime: 2732s\n",
      "        Median exposure time: 240s\n",
      "    Epoch: 48 hr\n",
      "        Filter: u Depth: 25mag, exptime: 330s\n",
      "        Filter: g Depth: 25mag, exptime: 32s\n",
      "        Filter: r Depth: 25mag, exptime: 73s\n",
      "        Filter: i Depth: 25mag, exptime: 150s\n",
      "        Filter: z Depth: 25mag, exptime: 428s\n",
      "        Filter: y Depth: 25mag, exptime: 2732s\n",
      "        Median exposure time: 240s\n",
      "--\n",
      "\n",
      " Strategy name: Less Fabulous\n",
      "    Epoch: 6 hr\n",
      "        Filter: g Depth: 25.0mag, exptime: 30s\n",
      "        Filter: r Depth: 25.0mag, exptime: 30s\n",
      "        Filter: z Depth: 25.0mag, exptime: 30s\n",
      "        Median exposure time: 30s\n",
      "    Epoch: 48 hr\n",
      "        Filter: g Depth: 25.0mag, exptime: 30s\n",
      "        Filter: r Depth: 25.0mag, exptime: 30s\n",
      "        Filter: z Depth: 25.0mag, exptime: 30s\n",
      "        Median exposure time: 30s\n",
      "--\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(strategy_names)):\n",
    "    print(f\"\\n Strategy name: {strategy_names[i]}\")\n",
    "    # Iterate over the epochs\n",
    "    for j in np.arange(len(strategies[strategy_names[i]][\"depths\"])):\n",
    "            depth = strategies[strategy_names[i]][\"depths\"][j]\n",
    "            print(f\"    Epoch: {strategies[strategy_names[i]]['cadence_hr'][j]} hr\")\n",
    "            # Iterate over the filters\n",
    "            for filt, exptime in zip(strategies[strategy_names[i]][\"filters\"][j], strategies[strategy_names[i]][\"exptimes\"][j]):\n",
    "                print(f\"        Filter: {filt} Depth: {depth}mag, exptime: {exptime}s\")\n",
    "            print(f\"        Median exposure time: {strategies[strategy_names[i]]['exptimes_median'][j]}s\")\n",
    "    print(\"--\")\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot transient light curve"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the light curve of a transient given the strategy defined above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import glob\n",
    "\n",
    "import numpy as np\n",
    "from astropy.io import ascii\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy import interpolate\n",
    "from matplotlib.ticker import MaxNLocator\n",
    "from astropy.cosmology import Planck18 as cosmo\n",
    "import astropy.cosmology as ac\n",
    "import astropy.units as u\n",
    "\n",
    "import plot_lc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One important variable to be set is `delay_hr`, which is the delay time between the onset of the transient (e.g., the merger of two compact objects) and the start of the observability window. Note that `cadence_hr` starts from the beginning of the observability window, since we cannot predict when the onset is, if the event happens during the Chilean daytime.\n",
    "\n",
    "Light curve models come in ASCII or CSV files. Check out the `models/` folder and use the same format, if you want to add your favorite model. Simply assign the path to the model to the `model_filename` variable. \n",
    "\n",
    "A grid of kilonova light curves is available, which were obtained with 3D Monte Carlo radiative transfer code (Bulla 2019, 2023; Anand et al. 2023). Four parameters can be chosen: the dynamic ejecta mass `mej_dyn`, the disk wind ejecta mass `mej_wind`, the half opening angle of the lanthanide-rich dynamical-ejecta component `phi` and the viewing angle `theta` (see Dietrich et al. 2020, for more details about the adopted geometry). The grid is available for kilonovae at distances from 100Mpc to 700Mpc, which is twice the upper bound of the projected horizon for BNS mergers in O5, at intervals of 100Mpc. More of such light curves can be produced on demand (ask Igor). The best-fit parameters to GW170817, ignoring the distance, are:\n",
    "\n",
    "```\n",
    "inj_params_list = [{'mej_dyn': 0.005,\n",
    "              'mej_wind': 0.050,\n",
    "              'phi': 30,\n",
    "              'theta': 25.8,\n",
    "              'dist_Mpc': 300  #  Distance (Mpc), available from 100Mpc to 700Mpc at 100Mpc intervals\n",
    "                   }]\n",
    "```\n",
    "Suggestions for parameters that can be used to probe a good range of models can be found in Table 2 in\n",
    "[Andreoni et al. (2023)](https://ui.adsabs.harvard.edu/abs/2024APh...15502904A/abstract)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Delay between transient onset and start of the observing window\n",
    "delay_hr = 6.\n",
    "\n",
    "# Get a model from the Bulla+19, Anand+23 model grid. Ignore this if you want to use a specific file\n",
    "inj_params_list = [{'mej_dyn': 0.005,\n",
    "              'mej_wind': 0.050,\n",
    "              'phi': 30,\n",
    "              'theta': 25.8,\n",
    "              'dist_Mpc': 300  # Available from 100 to 700 Mpc, at intervals of 100Mpc\n",
    "                   }]\n",
    "\n",
    "model_filenames = plot_lc.get_kne_filename(inj_params_list=None, datadir='models/kilonova_Bulla')\n",
    "model_filename = model_filenames[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'models/kilonova_Bulla/nph1.0e+06_dyn0.001-0.15-0.20_wind0.050-0.03_theta25.84_dMpc300.dat'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_filename"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " Strategy name: Fabulous Strategy\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " Strategy name: Less Fabulous\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Read the model\n",
    "t_model = ascii.read(model_filename)\n",
    "# Do plot \n",
    "plot_lc.doPlotLc(strategies, t_model,\n",
    "                 delay_hr,  # delay time between merger and observing window\n",
    "                 xlim=[0.01, 4], # x axis limit in apparent mag\n",
    "                 ylim=[26, 19],  # y axis limit in apparent mag\n",
    "                 n_interp=100,  # Number of points for the interpolation (e.g. 150)\n",
    "                 offset_filt_hr=0.5,  # offset in hours between filters (to show overlapping points)\n",
    "                 outfile_base=\"plot_lc\",  # Base name for the file to be saved\n",
    "                 outfile_format='pdf',  # Format of the output plot (pdf, png, etc)\n",
    "                 doSave=True,  # If set to False, the plot will not be saved\n",
    "                 event_name=event_name,  # Name of the event for the X label\n",
    "                 linestyle=\"-\",\n",
    "                 filters_color_dict=filters_color_dict)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Time budget\n",
    "\n",
    "Based on the strategies adopted, compute the time budget. Some parameters need to be defined, such as overheads between exposures and rates.\n",
    "\n",
    "Overheads are calculated by multiplying the overhead per exposure * the number of exposures, which accounts for slewing to the first field."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Overheads\n",
    "overhead_between_exposures = 10.  # in seconds\n",
    "\n",
    "# Overhead first slew per epoch, assuming it may be further away than tiling\n",
    "overhead_first_slew = 30\n",
    "\n",
    "# Number of fields\n",
    "n_fields = 10\n",
    "\n",
    "# Number of events to follow-up\n",
    "n_events = 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " Strategy name: Fabulous Strategy\n",
      "Total exposure time per pointing: 2.5hr\n",
      "Total overheads per pointing: 0.07 (0.028135483172816788% of total budget)\n",
      "Total time budget per pointing: 2.6hr\n",
      "Total time for 10 fields: 25.7hr\n",
      "Total time for 10 fields and 5 events: 128.3hr\n",
      "-- \n",
      "\n",
      "\n",
      " Strategy name: Less Fabulous\n",
      "Total exposure time per pointing: 0.1hr\n",
      "Total overheads per pointing: 0.03 (0.3793103448275862% of total budget)\n",
      "Total time budget per pointing: 0.1hr\n",
      "Total time for 10 fields: 0.8hr\n",
      "Total time for 10 fields and 5 events: 4.0hr\n",
      "-- \n",
      "\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(strategy_names)):\n",
    "    exptimes = strategies[strategy_names[i]][\"exptimes\"]\n",
    "    # Number of exposures\n",
    "    n_exposures = len(np.concatenate(exptimes))\n",
    "    # calculate the overheads, convert overhead from s hours\n",
    "    overheads = np.sum(overhead_between_exposures/60/60 * (n_exposures-1)) + overhead_first_slew * len(exptimes)/60/60\n",
    "    # calculate the total exposure time per field/pointing in hours\n",
    "    total_exposure_time_hr = np.sum(np.concatenate(exptimes))/60/60\n",
    "    # calculate the time budget in hours\n",
    "    budget_strategy_hr = total_exposure_time_hr + overheads\n",
    "    {'{:.1f}'.format(budget_strategy_hr)}\n",
    "    \n",
    "    print(f\"\\n Strategy name: {strategy_names[i]}\")\n",
    "    print(f\"Total exposure time per pointing: {'{:.1f}'.format(total_exposure_time_hr)}hr\")\n",
    "    print(f\"Total overheads per pointing: {'{:.2f}'.format(overheads)} ({overheads/budget_strategy_hr}% of total budget)\")\n",
    "    print(f\"Total time budget per pointing: {'{:.1f}'.format(budget_strategy_hr)}hr\")\n",
    "    print(f\"Total time for {n_fields} fields: {'{:.1f}'.format(budget_strategy_hr * n_fields)}hr\")\n",
    "    print(f\"Total time for {n_fields} fields and {n_events} events: {'{:.1f}'.format(budget_strategy_hr * n_fields * n_events)}hr\")\n",
    "    print(\"-- \\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exposure Time Calculator\n",
    "\n",
    "From a given filter and magnitude limit (5 sigma), get the exposure time. The formulae were obtained from Formulae from [SMTN 002](https://smtn-002.lsst.io/v/OPSIM-1134/index.html).\n",
    "\n",
    "The formula to go from the magnitude limit to the exposure time was slightly simplified, but it is accurate within 0.28s for 30s exposures."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import the custom exposure time calculator\n",
    "import etc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define filters and magnitude limits\n",
    "filters = \"ugrizy\"\n",
    "mag_limits = [24.5, 24.5, 24.5, 24.5, 24.5, 24.5]  # in AB mag\n",
    "\n",
    "# Define airmass (>= 1)\n",
    "airmass = 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "filter, mag_limit, exptime (s)\n",
      "u, 24.5, 131\n",
      "g, 24.5, 13\n",
      "r, 24.5, 29\n",
      "i, 24.5, 60\n",
      "z, 24.5, 170\n",
      "y, 24.5, 1088\n"
     ]
    }
   ],
   "source": [
    "print(\"filter, mag_limit, exptime (s)\")\n",
    "for filt, mag in zip(filters, mag_limits):\n",
    "    exptime = int(np.round(etc.get_exptime(mag, filt, X=airmass)))\n",
    "    print(f\"{filt}, {mag}, {exptime}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now from a given filter and exposure time, get the magnitude limit (5 sigma)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define filters and exp times\n",
    "filters = \"ugrizy\"\n",
    "exptimes = [30, 30, 60, 60, 60, 60]  # in seconds\n",
    "\n",
    "# Define airmass (>= 1)\n",
    "airmass = 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "filter, mag_limit, exptime (s)\n",
      "u, 23.7, 30\n",
      "g, 25.0, 30\n",
      "r, 24.9, 60\n",
      "i, 24.5, 60\n",
      "z, 23.9, 60\n",
      "y, 22.9, 60\n"
     ]
    }
   ],
   "source": [
    "print(\"filter, mag_limit, exptime (s)\")\n",
    "for filt, exptime in zip(filters, exptimes):\n",
    "    mag = etc.get_m5(exptime, filt, X=airmass)\n",
    "    print(f\"{filt}, {'{:.1f}'.format(mag)}, {exptime}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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