Multi-Order-Coverage-data-structure-to-plan-multi-messenger-observations-v2.ipynb

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    "# Multi Order Coverage data structure to plan multi-messenger observations\n",
    "\n",
    "The tutorial is associated to the article **[Multi Order Coverage data structure to plan\n",
    "multi-messenger observations](https://www.journals.elsevier.com/astronomy-and-computing)** under review from **[Astronomy and Computing](https://www.journals.elsevier.com/astronomy-and-computing)**.\n",
    "\n",
    "### 1. Testing and evaluating algorithm\n",
    "\n",
    "We show the essential steps to delimit portions of a sky region, encoding with a MOC (Multi Order Coverage) data structure, that are observable from a speciﬁc astronomical site within a ﬁxed time interval and a deﬁned range of airmass values. \n",
    "For the first example, we build an elementary MOC and, then, we describe the essential algorithm and perform basic tests.\n",
    "\n",
    "The tutorial is tested in Python 3.8.5 with the module versions: [mocpy 0.10.0](https://cds-astro.github.io/mocpy/#), [cdshealpix 0.6.1](https://cds-astro.github.io/cds-healpix-python/), [astropy 5.0](https://pypi.org/project/astropy/), [astroplan 0.8](https://pypi.org/project/astroplan/), [ipyaladin 0.1.9](https://github.com/cds-astro/ipyaladin) and [healpy](https://pypi.org/project/healpy/)."
   ]
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     ]
    }
   ],
   "source": [
    "!pip3  install  \"mocpy==0.10.0\" \"cdshealpix==0.6.1\" \"astropy==5.0\" \"astroplan==0.8\" \"ipyaladin==0.1.9\" \"healpy==1.15.0\" --user"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ff6012b9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enabling notebook extension ipyaladin/extension...\n",
      "      - Validating: \u001b[32mOK\u001b[0m\n",
      "Enabling notebook extension jupyter-js-widgets/extension...\n",
      "      - Validating: \u001b[32mOK\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "# For ipyladin\n",
    "\n",
    "#Then, make sure to enable widgetsnbextension:\n",
    "!jupyter nbextension enable --py --sys-prefix ipyaladin\n",
    "#Finally, enable ipyaladin:\n",
    "!jupyter nbextension enable --py widgetsnbextension"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "efe9627f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Matplotlib created a temporary config/cache directory at /var/folders/5n/cq85zsfj29q5_nvkjg9l0b4c0000gn/T/matplotlib-gmsvqvtx because the default path (/Users/gius/.matplotlib) is not a writable directory; it is highly recommended to set the MPLCONFIGDIR environment variable to a writable directory, in particular to speed up the import of Matplotlib and to better support multiprocessing.\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "from datetime import datetime , timedelta\n",
    "import numpy as np\n",
    "\n",
    "from mocpy import MOC, STMOC\n",
    "from cdshealpix import healpix_to_skycoord\n",
    "\n",
    "import astropy.units as u\n",
    "from astropy.time import Time\n",
    "from astropy.coordinates import SkyCoord, EarthLocation, AltAz\n",
    "from astropy.table import QTable\n",
    "\n",
    "from astroplan import Observer\n",
    "\n",
    "from astropy.samp import SAMPIntegratedClient"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4eaae8ad",
   "metadata": {},
   "source": [
    "Firstly, we create a MOC region with the HEALPix index = 652 at order = 4 applying the method [from_healpix_cells](https://cds-astro.github.io/mocpy/stubs/mocpy.MOC.html#mocpy.MOC.from_healpix_cells) from mocpy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "09dba0a8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1e+03 ns, sys: 1 µs, total: 2 µs\n",
      "Wall time: 4.05 µs\n"
     ]
    }
   ],
   "source": [
    "%time\n",
    "ipix = np.array([652], dtype='uint64')\n",
    "depth = np.array([4], dtype='uint8')\n",
    "\n",
    "moc_test = MOC.from_healpix_cells(ipix, depth)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d344065",
   "metadata": {},
   "source": [
    "Then, we write the MOC region in an external file named **TEST.fits** serialized in a FITS format. **Figure 1** shows the HEALPix grid at the order = 4. In red, the created MOC region **TEST.fits** is depicted."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "508c4127",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2 µs, sys: 1 µs, total: 3 µs\n",
      "Wall time: 4.05 µs\n"
     ]
    }
   ],
   "source": [
    "%time\n",
    "moc_test.write(\"TEST.fits\", format='fits', overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "43e285f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython import display\n",
    "display.Image(\"https://raw.githubusercontent.com/ggreco77/Multi-Order-Coverage-data-structure-to-plan-multi-messenger-observations/main/plots/Fig1.jpg\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e881b50e",
   "metadata": {},
   "source": [
    "**Figure 1.** HEALPix grid at order = 4. In red, the MOC region with HEALPix index = 652 created for the test."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a30af252",
   "metadata": {},
   "source": [
    "Now, we read the MOC file **TEST.fits** and we find the MOC order: the depth of the smallest HEALPix cells. Of course, we will find an order = 4 as set in our MOC creation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "caf2f8bc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2 µs, sys: 1e+03 ns, total: 3 µs\n",
      "Wall time: 5.25 µs\n",
      "moc_order = 4\n"
     ]
    }
   ],
   "source": [
    "%time\n",
    "# Read  MOC map.\n",
    "moc = MOC.from_fits(\"TEST.fits\")\n",
    "\n",
    "# Find MOC order\n",
    "moc_order = moc.max_order\n",
    "print('moc_order =', moc_order)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09952a59",
   "metadata": {},
   "source": [
    "Here, we serialize the MOC from fits to json/dictionary with the keys and values representing the orders and the pixel indices, respectively. Of course, in our case we will find a dictionary with key = 4 and value = 652, both data used in the original MOC creation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "fff1dee9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2 µs, sys: 0 ns, total: 2 µs\n",
      "Wall time: 3.81 µs\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'4': [652]}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%time\n",
    "# Serialize the MOC from fits to json/dict.\n",
    "moc_json = moc.serialize(format = \"json\")\n",
    "moc_json"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d3386c0",
   "metadata": {},
   "source": [
    "Next, we want to increase the MOC order from 4 to 5 and to calculate the associated HEALPix indexes at that order. MOC uses the [NESTED](https://healpix.jpl.nasa.gov/html/intronode4.htm) numbering scheme and, thus, each spatial MOC cell can be\n",
    "stored as one single  interval ranging from $[npix \\times 4^{(max\\_order - order)}]$ to \n",
    "$[(npix+1) \\times 4^{(max\\_order - order)}-1] $.\n",
    "\n",
    "#### **You need to set a new MOC order greater than or equal to the order defined in the original MOC**. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "101bc4f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set a new MOC order: new MOC order >= original MOC order.\n",
    "new_order = 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d0e51aa3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2 µs, sys: 1 µs, total: 3 µs\n",
      "Wall time: 5.25 µs\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[2608, 2609, 2610, 2611]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%time\n",
    "# Init. a list of HEALPix indices.\n",
    "healpix_indices = []\n",
    "\n",
    "# Read MOC JSON file.\n",
    "for key, value in moc_json.items():\n",
    "    order = int(key)\n",
    "    \n",
    "    # Flatten cells.\n",
    "    for npix in value:\n",
    "        first_index = npix*4**(new_order - moc_order)\n",
    "        last_index = (npix+1)*4**(new_order - moc_order)-1\n",
    "        \n",
    "        # Resulting list of flatten cells.\n",
    "        for healpix_index in np.arange(first_index, last_index+1):\n",
    "            healpix_indices.append(healpix_index)\n",
    "            \n",
    "healpix_indices"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80dc2697",
   "metadata": {},
   "source": [
    "**Figure 2** shows the  HEALPix grid at the order = 5. In red, the selected MOC region is depicted. You can visualize the HEALPix indices: 2608, 2609, 2610, 2611 as calculated in our code.\n",
    "When the entire collection of cells in a MOC map is \n",
    "computed at the same\n",
    "order, we invoke from cds-healpix-python module the [healpix to skycoord](https://cds-astro.github.io/cds-healpix-python/stubs/cdshealpix.nested.healpix_to_skycoord.html#cdshealpix.nested.healpix_to_skycoord)\n",
    "method.\n",
    "\n",
    "This method converts HEALPix indices to celestial coordinates.\n",
    "The input is a 1-D array of HEALPix indices and the resulting celestial coordinates\n",
    "are returned in a [SkyCoord](https://docs.astropy.org/en/stable/api/astropy.coordinates.SkyCoord.html#:~:text=High%2Dlevel%20object%20providing%20a,coordinate%20values%20with%20unambiguous%20units) high-level object as defined in astropy.\n",
    "They are the sky coordinates of the center of the HEALPix cells and marked with a circle in **Figure 2**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "026b5a1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<SkyCoord (ICRS): (ra, dec) in deg\n",
       "    [(202.5    , 31.38816646), (203.90625, 32.7971683 ),\n",
       "     (201.09375, 32.7971683 ), (202.5    , 34.22886633)]>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skycoords = healpix_to_skycoord(healpix_indices, new_order)\n",
    "skycoords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0d808a79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython import display\n",
    "display.Image(\"https://raw.githubusercontent.com/ggreco77/Multi-Order-Coverage-data-structure-to-plan-multi-messenger-observations/main/plots/Fig2.jpg\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9c61b76",
   "metadata": {},
   "source": [
    "**Figure 2.**. HEALPix grid at order = 5 with the HEALPix indices, 2608, 2609, 2610, 2611. They are the same indices as provided by our code. The sky coordinates of the center of the HEALPix cells are marked with circles. The sky coordinates are computed by the [healpix to skycoord](https://cds-astro.github.io/cds-healpix-python/stubs/cdshealpix.nested.healpix_to_skycoord.html#cdshealpix.nested.healpix_to_skycoord) method in cdshealpix."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da71d21a",
   "metadata": {},
   "source": [
    "You can interactively visualize the results with the following Aladin widget adding the HEALPix grid from the `Manage Layers` <img src=\"https://github.com/ggreco77/Tutotest/blob/main/images/ipyaladin_layer.png?raw=true\" alt=\"the Layer Button\" style=\"width:30px; display: inline-block;\"/> by checking **HEALPix grid**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0f41d287",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2 µs, sys: 0 ns, total: 2 µs\n",
      "Wall time: 4.05 µs\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "640fea22a5224d298b3d660b35778e8c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Aladin(fov=35.0, options=['allow_full_zoomout', 'coo_frame', 'fov', 'full_screen', 'log', 'overlay_survey', 'o…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%time\n",
    "import ipyaladin as ipyal\n",
    "aladin= ipyal.Aladin(target='13:29:59.9947023, +32:47:54.490452', fov=35)\n",
    "aladin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9ffb2a10",
   "metadata": {},
   "outputs": [],
   "source": [
    "moc_test = {\"5\":[2608, 2609, 2610, 2611]}\n",
    "aladin.add_moc_from_dict(moc_test, {'color': 'red', 'opacity': 0.4,\n",
    "                              'adaptativeDisplay': False, 'name': 'TEST'})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f6725e5",
   "metadata": {},
   "source": [
    "Here, we want to define the airmass in each HEALPix index using astroplan module. In particular, we define the airmass in the Haleakala site  at 2019-04-25 14:18:05.018 UTC."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f5210364",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1e+03 ns, sys: 1 µs, total: 2 µs\n",
      "Wall time: 4.29 µs\n"
     ]
    }
   ],
   "source": [
    "%time\n",
    "# Set Observer: Haleakala.\n",
    "haleakala = Observer.at_site (\"haleakala\")\n",
    "\n",
    "# Set observational time.\n",
    "start_time = Time('2019-04-25 12:30:00')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "622d40dd",
   "metadata": {},
   "source": [
    "Haleakala info from Observer class in astroplan."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "63fd5a3b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Observer: name='haleakala',\n",
       "    location (lon, lat, el)=(-156.169 deg, 20.71552 deg, 3047.9999999999245 m),\n",
       "    timezone=<UTC>>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "haleakala"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "195c0aaf",
   "metadata": {},
   "source": [
    "Is night at Haleakala at that time? You can answer it using [is_night](https://astroplan.readthedocs.io/en/latest/api/astroplan.Observer.html#astroplan.Observer.is_night) method in astroplan and setting the astronomical twilight."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "7c8440ee",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 3 µs, sys: 1 µs, total: 4 µs\n",
      "Wall time: 7.87 µs\n",
      "Is night? True\n"
     ]
    }
   ],
   "source": [
    "%time\n",
    "# Check if it is night in Haleakala at that time:\n",
    "# -18 degree horizon (evening astronomical twilight).\n",
    "night = haleakala.is_night(start_time, horizon = -18*u.deg)\n",
    "print('Is night?', night)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca8b2246",
   "metadata": {},
   "source": [
    "We have all the information to calculate the airmass."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "7b7561da",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2 µs, sys: 0 ns, total: 2 µs\n",
      "Wall time: 5.01 µs\n",
      "airmass: 1.28 <SkyCoord (ICRS): (ra, dec) in deg\n",
      "    (202.5, 31.38816646)>\n",
      "\n",
      "airmass: 1.27 <SkyCoord (ICRS): (ra, dec) in deg\n",
      "    (203.90625, 32.7971683)>\n",
      "\n",
      "airmass: 1.31 <SkyCoord (ICRS): (ra, dec) in deg\n",
      "    (201.09375, 32.7971683)>\n",
      "\n",
      "airmass: 1.29 <SkyCoord (ICRS): (ra, dec) in deg\n",
      "    (202.5, 34.22886633)>\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%time\n",
    "# Airmass calculation\n",
    "airmass_values = haleakala.altaz(start_time, skycoords).secz\n",
    "    \n",
    "for airmass_value, skycoord in zip(airmass_values, skycoords):\n",
    "    print(\"airmass:\", airmass_value.round(2), skycoord)\n",
    "    print()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "820fe0e7",
   "metadata": {},
   "source": [
    "Finally, we want only to select a sky area with airmass < 1.30. Thus, we create a new MOC with those sky coordinates in that airmass. We will call it **MOC observability**. \n",
    "\n",
    "It can be useful to create an astropy table with skycoords and airmass_values as columns. Then we filter the airmass_values column from 1.00 to 1.30. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "31842521",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1 µs, sys: 0 ns, total: 1 µs\n",
      "Wall time: 4.77 µs\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><i>QTable length=3</i>\n",
       "<table id=\"table140558689391424\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>skycoords</th><th>airmass_values</th></tr></thead>\n",
       "<thead><tr><th>deg,deg</th><th></th></tr></thead>\n",
       "<thead><tr><th>SkyCoord</th><th>float64</th></tr></thead>\n",
       "<tr><td>202.5,31.388166464348547</td><td>1.2833562535594878</td></tr>\n",
       "<tr><td>203.90625,32.797168295823646</td><td>1.265523827316121</td></tr>\n",
       "<tr><td>202.5,34.22886632781258</td><td>1.2898750955356981</td></tr>\n",
       "</table></div>"
      ],
      "text/plain": [
       "<QTable length=3>\n",
       "         skycoords             airmass_values  \n",
       "          deg,deg                              \n",
       "          SkyCoord                float64      \n",
       "---------------------------- ------------------\n",
       "    202.5,31.388166464348547 1.2833562535594878\n",
       "203.90625,32.797168295823646  1.265523827316121\n",
       "     202.5,34.22886632781258 1.2898750955356981"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%time\n",
    "# Create Astropy table.\n",
    "#from astropy.table import QTable\n",
    "\n",
    "tb = QTable([skycoords, airmass_values],\n",
    "            names = [\"skycoords\", \"airmass_values\"])\n",
    "    \n",
    "# Mask table with selected airmass values.\n",
    "mask1 = tb[\"airmass_values\"] >=1.00\n",
    "tb = tb[mask1]\n",
    "mask2 = tb[\"airmass_values\"] <=1.30\n",
    "tb = tb[mask2]\n",
    "tb"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6fc6dfc5",
   "metadata": {},
   "source": [
    "We invoke [from_skycoords](https://cds-astro.github.io/mocpy/stubs/mocpy.MOC.html#mocpy.MOC.from_skycoords) method in mocpy and write the MOC observability in an output file named **moc_observability_haleakala**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "13f4f83f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# MOC from  sky coordinates \n",
    "moc_observability_haleakala = MOC.from_skycoords(tb[\"skycoords\"], new_order)\n",
    "\n",
    "# Write MOC in fits\n",
    "moc_observability_haleakala.write(\"moc_observability_haleakala\", format=\"fits\", overwrite=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25203864",
   "metadata": {},
   "source": [
    "The MOC observability is shown in green in **Figure 3** over the original MOC. The HEALPix index = 2610 at order = 5 is not considered in the MOC visibility at the coordinates RA [deg] = 201.09375, DEC [deg] = 32.7971683. In fact the associated airmass value = 1.31 is outside the airmass range selected to create the MOC visibility from Haleakala."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e7cb3f00",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<SkyCoord (ICRS): (ra, dec) in deg\n",
       "    [(201.09375, 32.7971683)]>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sky position of HEALPix index = 2610 at order = 5.\n",
    "skycoord = healpix_to_skycoord(2610, 5)\n",
    "skycoord"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "00a2b7b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "display.Image(\"https://raw.githubusercontent.com/ggreco77/Multi-Order-Coverage-data-structure-to-plan-multi-messenger-observations/main/plots/Fig3.jpg\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f23270a1",
   "metadata": {},
   "source": [
    "**Figure 3**. In green, the MOC visibility from the Haleakala site with airmass ranges from 1.00 to 1.20 over the original MOC area in red. For an interactive visualization, you can run the code below and use the Aladin widget initialized at the beginning of the tutorial."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "14a77298",
   "metadata": {},
   "outputs": [],
   "source": [
    "moc_obsevability = {\"5\":[2608, 2609, 2611]}\n",
    "aladin.add_moc_from_dict(moc_obsevability, {'color': 'green', 'opacity': 0.7,\n",
    "                              'adaptativeDisplay': False, 'name': 'MOC observability'})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7a609e4",
   "metadata": {},
   "source": [
    "## 1.2. Adding temporal information to an (Observability) MOC\n",
    "The ability to transform any spatial MOC generated from telescope footprints, image surveys, catalogues, gravitational-wave sky localizations, MOC visibility etc. into spatial and temporal MOC (STMOC) offers several interoperable approaches. In the next sections, we will discuss how to filter candidate transients.\n",
    "\n",
    "To encode temporal information in a space (observability) MOC, we apply the method [from_spatial_coverages](https://cds-astro.github.io/mocpy/stubs/mocpy.STMOC.html#mocpy.STMOC.from_spatial_coverages) in mocpy. We assume an exposure time of 10 minutes: from 2019-04-25 12:30:00 to 2019-04-25 12:40:00."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "df8263cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a Space and Time MOC from a space MOC.\n",
    "space_time_moc_obs = STMOC.from_spatial_coverages(Time(['2019-04-25 12:30:00']), \n",
    "                                                  Time(['2019-04-25 12:40:00']),\n",
    "                                                  [moc_observability_haleakala])\n",
    "\n",
    "# Write space and time MOC\n",
    "space_time_moc_obs.write(\"space_time_moc_obs\", overwrite=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa25b453",
   "metadata": {},
   "source": [
    "### 1.2.1. Filtering transient candidates\n",
    "\n",
    "To filter transient candidates *in space and in time* simultaneously, we use the [contains](https://cds-astro.github.io/mocpy/stubs/mocpy.MOC.html#mocpy.MOC.contains) method in mocpy. It returns a boolean mask array of the positions lying inside (or outside) the MOC instance. Good performances are obtained thanks to the core functions written in Rust programming language.  \n",
    "\n",
    "We consider two transients at the sky positions of t1: (RA [deg] = 202.49997, DEC [deg] = 32.79846) and t2 = (RA [deg] = 202.69392, DEC [deg] = 34.02011) observed at the UTC, 2019-04-25T12:33:00 and 2019-04-25T12:50:00, respectively. Both candidate transients fall inside our MOC region but only the first one is consistent with the exposure time of that region. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "91fce829",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ID     ra      dec              time         \n",
      "       deg      deg                           \n",
      "--- --------- -------- -----------------------\n",
      " t1 202.49997 32.79846 2019-04-25T12:33:00.000\n",
      " t2 202.69392 34.02011 2019-04-25T13:45:00.000\n"
     ]
    }
   ],
   "source": [
    "# An astropy table with the 2 transients is created.\n",
    "transient_tb = QTable()\n",
    "\n",
    "# ID candidate transients\n",
    "transient_tb['ID'] =['t1', 't2']\n",
    "\n",
    "# Transient positions\n",
    "transient_tb['ra'] = [202.49997, 202.69392]*u.deg\n",
    "transient_tb['dec'] = [ 32.79846,  34.02011]*u.deg\n",
    "\n",
    "# Transient time observations\n",
    "transient_tb['time'] = Time(['2019-04-25T12:33:00', '2019-04-25T13:45:00'])\n",
    "\n",
    "print(transient_tb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "bbed0c3c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ True, False])"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Filtering transients in space and time.\n",
    "space_time_moc_obs.contains(transient_tb['time'], transient_tb['ra'], transient_tb['dec'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc039100",
   "metadata": {},
   "source": [
    "As expected,  the boolean mask returns **True** only for the t1 transient."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a620a305",
   "metadata": {},
   "source": [
    "# SAMP function\n",
    "]\n",
    "We create a function based on [SAMP](https://docs.astropy.org/en/stable/samp/index.html) (Simple Application Messaging Protocol) to visualize the MOC visibility in an Aladin section. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "5c2414cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "def send_via_samp (url = \"\", filename = \"\"):\n",
    "    \"\"\" Sending MOC file over SAMP.\n",
    "    \n",
    "        Parameters\n",
    "        ----------\n",
    "        url : str\n",
    "            URL to the file.\n",
    "        \n",
    "        filename : str\n",
    "            human - readable 315 name for the MOC file.\n",
    "        \n",
    "        Returns\n",
    "        -------\n",
    "        Transmit a MOC file in tools in which SAMP Hub is running .\n",
    "    \"\"\"\n",
    "    \n",
    "    client = SAMPIntegratedClient()\n",
    "    client.connect()\n",
    "    \n",
    "    params = {}\n",
    "    params [\"url\"] = url+filename\n",
    "    params [\"name\"] = filename\n",
    "    \n",
    "    message = {}\n",
    "    message[\"samp.mtype\"] = \"image.load.fits\"\n",
    "    message[\"samp.params\"] = params\n",
    "    \n",
    "    client.notify_all(message)\n",
    "    client.disconnect()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a829682d",
   "metadata": {},
   "source": [
    "# Create  MOC visibilities\n",
    "\n",
    "Here we describe the essential steps to delimit portions of a MOC coverage that are observable from a specific astronomical site within a fixed time interval and a defined range of airmass values. We start with the 90% credible region of the gravitational-wave event GW190425. The credible region is encoded in a MOC data structure. In order to show the potential of MOCs to manage complex and irregular sky areas, the 90% credible region of GW190425 is prepocessed as discussed in **Sections 4.2 and 4.3**.\n",
    "The MOC region is accessible from the link [here](https://github.com/ggreco77/MOC-to-plan-MMA/blob/main/data/processed_moc_skymap.fits?raw=true). \n",
    "All steps are shown in the [video tutorial](https://virgo.pg.infn.it/sites/virgo.pg.infn.it/files/mm/tuto_A_C_mid.mp4) focusing in the main Aladin graphical user interface. \n",
    "\n",
    "For running the code, we consider the merger time of GW190425 from the image's header."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "0b7ab4e8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
      "                                 Dload  Upload   Total   Spent    Left  Speed\n",
      "100  669k  100  669k    0     0    99k      0  0:00:06  0:00:06 --:--:--  160k\n"
     ]
    }
   ],
   "source": [
    "# Download the initial (BAYESTAR)sky map of GW190425 from GraceDB.\n",
    "!curl -O https://gracedb.ligo.org/api/superevents/S190425z/files/bayestar.fits.gz,0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "90014768",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 4 µs, sys: 2 µs, total: 6 µs\n",
      "Wall time: 30.8 µs\n",
      "The merger time is 2019-04-25T08:18:05.018\n"
     ]
    }
   ],
   "source": [
    "%time\n",
    "# Get merger time from image's header.\n",
    "import healpy as hp\n",
    "header = hp.read_map(\"bayestar.fits.gz,0\", h=True)\n",
    "\n",
    "header = dict(header[1])\n",
    "merger_time = Time(header['DATE-OBS'])\n",
    "print('The merger time is', merger_time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "46c437aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define an observatory from the astroplan list\n",
    "observatory_name = 'haleakala'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "c5165e78",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1 µs, sys: 1 µs, total: 2 µs\n",
      "Wall time: 4.05 µs\n"
     ]
    }
   ],
   "source": [
    "%time\n",
    "# Define observatory in the astroplan Observer class\n",
    "observatory_astroplan_observer = Observer.at_site (observatory_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "abe6b7b3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Observer: name='haleakala',\n",
       "    location (lon, lat, el)=(-156.169 deg, 20.71552 deg, 3047.9999999999245 m),\n",
       "    timezone=<UTC>>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "observatory_astroplan_observer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "e8a6ab2b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2 µs, sys: 0 ns, total: 2 µs\n",
      "Wall time: 5.25 µs\n"
     ]
    }
   ],
   "source": [
    "%time\n",
    "# Check if it is night in your Observatory at the merger time:\n",
    "# -18 degree horizon (evening astronomical twilight).\n",
    "night = observatory_astroplan_observer.is_night(merger_time, horizon = -18*u.deg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "e75856e3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Is night in haleakala? True\n"
     ]
    }
   ],
   "source": [
    "print('Is night in '+observatory_name+'?', night)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6b20906",
   "metadata": {},
   "source": [
    "If it is night in your observatory, we set as start time the merger time of the event, otherwise, we find the nearest twilight astronomical evening. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "076c13f2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2 µs, sys: 1e+03 ns, total: 3 µs\n",
      "Wall time: 4.05 µs\n"
     ]
    }
   ],
   "source": [
    "%time\n",
    "if night != False:\n",
    "    start_time = merger_time\n",
    "else:\n",
    "    # Nearest twilight astronomical evening.\n",
    "    twilight_evening_astronomical = \\\n",
    "    observatory_astroplan_observer.twilight_evening_astronomical(merger_time, \n",
    "                                            which =\"nearest\")\n",
    "    start_time = twilight_evening_astronomical"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "218f4fbb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Start time for the first observation: 2019-04-25T08:18:05.018\n"
     ]
    }
   ],
   "source": [
    "print('Start time for the first observation:', start_time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "153cd165",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Init. list for schedule observation\n",
    "observatory_time_obs = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "4666eda7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set the airmass range to create the MOC visibility\n",
    "airmass_max = 2\n",
    "airmass_min = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "5d24947c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load the MOC map processed as in Section 4.2 and 4.3.\n",
    "\n",
    "from astropy.utils.data import download_file\n",
    "processed_moc_skymap = download_file(\"https://github.com/ggreco77/MOC-to-plan-MMA/blob/main/data/processed_moc_skymap.fits?raw=true\", \n",
    "              cache=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "3a7a6a2c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 3 µs, sys: 0 ns, total: 3 µs\n",
      "Wall time: 5.01 µs\n"
     ]
    }
   ],
   "source": [
    "%time\n",
    "# Read the MOC map.\n",
    "moc = MOC.from_fits(processed_moc_skymap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "a7459208",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2 µs, sys: 0 ns, total: 2 µs\n",
      "Wall time: 3.81 µs\n",
      "MOC order: 11\n"
     ]
    }
   ],
   "source": [
    "%time\n",
    "# Find MOC Order\n",
    "order = moc.max_order\n",
    "print('MOC order:', order)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48f1b13a",
   "metadata": {},
   "source": [
    "Here, we want to calculate the visibility area within the previous MOC from the specific observatory site, at a given time and setting the airmass values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "8edb5194",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1 µs, sys: 0 ns, total: 1 µs\n",
      "Wall time: 4.05 µs\n"
     ]
    }
   ],
   "source": [
    "%time\n",
    "# Serialize the MOC from fits to json/dict.\n",
    "moc_json = moc.serialize(format = \"json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "60766002",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Init. a list of HEALPix indices.\n",
    "healpix_indices = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "a8d817d5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "input_order:  11\n",
      "CPU times: user 136 µs, sys: 68 µs, total: 204 µs\n",
      "Wall time: 156 µs\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# Set a MOC order. MOC order >= max order in the original MOC.\n",
    "input_order = order\n",
    "print('input_order: ', input_order)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "622fba6a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 970 ms, sys: 97.9 ms, total: 1.07 s\n",
      "Wall time: 1.07 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# Read MOC JSON file.\n",
    "for key, value in moc_json.items():\n",
    "    order = int(key)\n",
    "    \n",
    "    # Flatten cells.\n",
    "    for npix in value:\n",
    "        first_index = npix*4**(input_order - order)\n",
    "        last_index = (npix+1)*4**(input_order - order)-1\n",
    "        \n",
    "        # Resulting list of flatten cells.\n",
    "        for healpix_index in np.arange(first_index, last_index +1):\n",
    "            healpix_indices.append(healpix_index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "ddfadf77",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.27 s, sys: 200 ms, total: 1.47 s\n",
      "Wall time: 1.04 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# Convert HEALPix indices to celestial coordinates.\n",
    "healpix_indices = np.array(healpix_indices)\n",
    "skycoord = healpix_to_skycoord(healpix_indices, input_order)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "546c2e89",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Is night in haleakala@2019-04-25 08:18:05.018 ?  True\n",
      "Is night in haleakala@2019-04-25 10:18:05.018 ?  True\n",
      "Is night in haleakala@2019-04-25 12:18:05.018 ?  True\n",
      "Is night in haleakala@2019-04-25 14:18:05.018 ?  True\n",
      "CPU times: user 16.1 s, sys: 2.49 s, total: 18.5 s\n",
      "Wall time: 59.9 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# Constrain airmass values in time steps.\n",
    "for h in range (0, 8, 2):\n",
    "    time_step = start_time + timedelta(hours = h)\n",
    "    \n",
    "    night = observatory_astroplan_observer.is_night(time_step, horizon = -18*u.deg)    \n",
    "    print('Is night in '+observatory_name+'@'+time_step.iso+' ? ',night)\n",
    "\n",
    "    observatory_time_obs.append(time_step)\n",
    "    \n",
    "    # Airmass calculation\n",
    "    airmass = observatory_astroplan_observer.altaz(time_step, skycoord).secz\n",
    "    \n",
    "    # Create an Astropy table.\n",
    "    tb = QTable([skycoord, airmass],\n",
    "                names = [\"skycoord\", \"airmass\"])\n",
    "    \n",
    "    # Mask table with selected airmass values.\n",
    "    mask1 = tb[\"airmass\"] >=airmass_min\n",
    "    tb = tb[mask1]\n",
    "    mask2 = tb[\"airmass\"] <=airmass_max\n",
    "    tb = tb[mask2]\n",
    "    \n",
    "    # Create an observability MOC.\n",
    "    if len(tb)!=0:\n",
    "        # Create a Space MOC.\n",
    "        space_moc = MOC.from_skycoords(tb[\"skycoord\"], \n",
    "                                       input_order)\n",
    "\n",
    "        # Set url and output filenames.\n",
    "        pwd = !pwd\n",
    "        url = \"file:/\"+pwd[0]+'/'\n",
    "        space_moc_filename = \"MOC_\"+observatory_name+\"@\"+time_step.iso\n",
    "\n",
    "        # Write Space MOC in a FITS format.\n",
    "        space_moc.write(space_moc_filename, \n",
    "                        overwrite = \"true\")\n",
    "\n",
    "        # Transmit via SAMP the visibility MOC when it is night (we run Aladin Desktop).\n",
    "        try:\n",
    "            if night==True:\n",
    "                send_via_samp(url, space_moc_filename)\n",
    "        except:\n",
    "            print()\n",
    "            print(\"Launch Aladin Desktop as reported in the README to visualize the results:\")\n",
    "            print(\"https://github.com/ggreco77/MOC-to-plan-MMA#aladin-desktop-software\")\n",
    "            print()\n",
    "\n",
    "        # Write table with columns: SkyCoords and airmass for testing.\n",
    "        #tb.write(\"Table_\"+observatory_name+\"@\"+ str(time_step.iso),\n",
    "        #         format = \"fits\", overwrite = \"true\")\n",
    "    else:\n",
    "        print(\"Empty table to create Visibility MOC.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf2ea001",
   "metadata": {},
   "source": [
    "Then, we repeat the same steps for Paranal and SSO observatories fixing the same starting time used in the Haleakala site."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "27d8c607",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<Observer: name='paranal',\n",
      "    location (lon, lat, el)=(-70.40498688000002 deg, -24.627439409999997 deg, 2668.999999999649 m),\n",
      "    timezone=<UTC>>\n",
      "<Observer: name='sso',\n",
      "    location (lon, lat, el)=(149.06119444444445 deg, -31.273361111111114 deg, 1149.000000001551 m),\n",
      "    timezone=<UTC>>\n"
     ]
    }
   ],
   "source": [
    "# Set Observers: Paranal and SSO\n",
    "paranal = Observer.at_site (\"paranal\")\n",
    "sso = Observer.at_site (\"sso\")\n",
    "print(paranal)\n",
    "print(sso)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d95e1fa4",
   "metadata": {},
   "source": [
    "**An updated list of built-in observatories can be found in [astropy-data/coordinates/sites.json](https://github.com/astropy/astropy-data/blob/162e724509fd18b8bc3fc29f766b716ce4657d20/coordinates/sites.json)**"
   ]
  }
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