notebook/CDS_VO_services_in_python_notebooks.ipynb

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    "# CDS-VO services in python notebooks\n",
    "\n",
    "Presented at ASOV 2023 by Stefania Amodeo¹\n",
    "\n",
    "1. Université de Strasbourg, CNRS, Observatoire Astronomique de Strasbourg, UMR 7550, F-67000, Strasbourg, France\n",
    "\n",
    "***\n",
    "\n",
    "## Introduction\n",
    "\n",
    "In this tutorial, we will access some of the services provided by the Strasbourg astronomical Data Center ([CDS](https://cdsweb.u-strasbg.fr/)) with Python, to:  \n",
    "\n",
    "1. gather information on a specific object using [![Simbad](https://custom-icon-badges.demolab.com/badge/Simbad-gray.svg?logo=simbad&logoColor=lightblue&logoWidth=20)](https://simbad.u-strasbg.fr/simbad/ \"https://simbad.u-strasbg.fr/simbad/\") \n",
    "\n",
    "2. visualise it through survey images using the [![Aladin](https://custom-icon-badges.demolab.com/badge/Aladin-gray.svg?logo=aladin&logoColor=purple&logoWidth=20)](https://aladin.cds.unistra.fr/aladin.gml \"https://aladin.cds.unistra.fr/aladin.gml\") Lite widget \n",
    "\n",
    "3. find and download a catalogue from [![Vizier](https://custom-icon-badges.demolab.com/badge/Vizier-gray.svg?logo=vizier&logoColor=orange&logoWidth=20)](https://vizier.cds.unistra.fr/viz-bin/VizieR \"https://vizier.cds.unistra.fr/viz-bin/VizieR\")\n",
    "\n",
    "4. cross-match the sources with a large catalogue using [![Xmatch](https://custom-icon-badges.demolab.com/badge/Xmatch-gray.svg?logo=xmatch&logoColor=blue&logoWidth=20)](http://cdsxmatch.u-strasbg.fr/ \"http://cdsxmatch.u-strasbg.fr/\") \n",
    "\n",
    "5. Filter a catalogue using Multi-Order Coverage maps (MOCs)"
   ]
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    "# Astronomy tools\n",
    "import astropy.units as u\n",
    "from astropy.coordinates import SkyCoord\n",
    "\n",
    "# Access astronomical databases\n",
    "from astroquery.simbad import Simbad\n",
    "from astroquery.vizier import Vizier\n",
    "from astroquery.xmatch import XMatch\n",
    "\n",
    "from astroquery.cds import cds  # access CDS MOC Server\n",
    "import mocpy                    # work with MOCs\n",
    "\n",
    "# Sky visualization\n",
    "from ipyaladin import Aladin"
   ]
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    "## Step #1: Gather information on NGC4038 \n",
    "\n",
    "\n",
    "[![Simbad](https://custom-icon-badges.demolab.com/badge/Simbad-gray.svg?logo=simbad&logoColor=lightblue&logoWidth=20)](https://simbad.u-strasbg.fr/simbad/ \"https://simbad.u-strasbg.fr/simbad/\")\n",
    "\n",
    " We can look at the methods available for the `Simbad` class with the `help()` command:"
   ]
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     "text": [
      "Help on SimbadClass in module astroquery.simbad.core object:\n",
      "\n",
      "class SimbadClass(SimbadBaseQuery)\n",
      " |  The class for querying the Simbad web service.\n",
      " |  \n",
      " |  Note that SIMBAD suggests submitting no more than 6 queries per second; if\n",
      " |  you submit more than that, your IP may be temporarily blacklisted\n",
      " |  (http://simbad.u-strasbg.fr/simbad/sim-help?Page=sim-url)\n",
      " |  \n",
      " |  Method resolution order:\n",
      " |      SimbadClass\n",
      " |      SimbadBaseQuery\n",
      " |      astroquery.query.BaseQuery\n",
      " |      builtins.object\n",
      " |  \n",
      " |  Methods defined here:\n",
      " |  \n",
      " |  __init__(self)\n",
      " |      Initialize self.  See help(type(self)) for accurate signature.\n",
      " |  \n",
      " |  add_votable_fields(self, *args)\n",
      " |      Sets fields to be fetched in the VOTable. Must be one of those listed\n",
      " |      by `list_votable_fields`.\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      list of field_names\n",
      " |  \n",
      " |  get_field_description(self, field_name)\n",
      " |      Displays a description of the VOTable field.\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      field_name : str\n",
      " |          the name of the field to describe. Must be one of those listed\n",
      " |          by `list_votable_fields`.\n",
      " |      \n",
      " |      Examples\n",
      " |      --------\n",
      " |      >>> from astroquery.simbad import Simbad\n",
      " |      >>> Simbad.get_field_description('main_id')\n",
      " |      main identifier of an astronomical object. It is the same as id(1)\n",
      " |      >>> Simbad.get_field_description('bibcodelist(y1-y2)')\n",
      " |      number of references. The parameter is optional and limit the count to\n",
      " |      the references between the years y1 and y2\n",
      " |  \n",
      " |  get_votable_fields(self)\n",
      " |      Display votable fields\n",
      " |      \n",
      " |      Examples\n",
      " |      --------\n",
      " |      >>> from astroquery.simbad import Simbad\n",
      " |      >>> Simbad.get_votable_fields()\n",
      " |      ['main_id', 'coordinates']\n",
      " |  \n",
      " |  list_votable_fields(self)\n",
      " |      Lists all the fields that can be fetched for a VOTable.\n",
      " |      \n",
      " |      Examples\n",
      " |      --------\n",
      " |      >>> from astroquery.simbad import Simbad\n",
      " |      >>> Simbad.list_votable_fields()\n",
      " |      --NOTES--...\n",
      " |  \n",
      " |  list_wildcards(self)\n",
      " |      Displays the available wildcards that may be used in Simbad queries and\n",
      " |      their usage.\n",
      " |      \n",
      " |      Examples\n",
      " |      --------\n",
      " |      >>> from astroquery.simbad import Simbad\n",
      " |      >>> Simbad.list_wildcards()\n",
      " |      * : Any string of characters (including an empty one)...\n",
      " |      \n",
      " |      [^0-9] : Any (one) character not in the list.\n",
      " |      \n",
      " |      ? : Any character (exactly one character)\n",
      " |      \n",
      " |      [abc] : Exactly one character taken in the list.\n",
      " |              Can also be defined by a range of characters: [A-Z]\n",
      " |  \n",
      " |  query_bibcode(self, bibcode, wildcard=False, verbose=False, cache=True, get_query_payload=False)\n",
      " |      Queries the references corresponding to a given bibcode, and returns\n",
      " |      the results in a `~astropy.table.Table`. Wildcards may be used to\n",
      " |      specify bibcodes.\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      bibcode : str\n",
      " |          the bibcode of the article\n",
      " |      wildcard : boolean, optional\n",
      " |          When it is set to `True` it implies that the object is specified\n",
      " |          with wildcards. Defaults to `False`.\n",
      " |      get_query_payload : bool, optional\n",
      " |          When set to `True` the method returns the HTTP request parameters.\n",
      " |          Defaults to `False`.\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      table : `~astropy.table.Table`\n",
      " |          Query results table\n",
      " |  \n",
      " |  query_bibcode_async(self, bibcode, wildcard=False, cache=True, get_query_payload=False)\n",
      " |      Serves the same function as `query_bibcode`, but\n",
      " |      only collects the response from the Simbad server and returns.\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      bibcode : str\n",
      " |          the bibcode of the article\n",
      " |      wildcard : boolean, optional\n",
      " |          When it is set to `True` it implies that the object is specified\n",
      " |          with wildcards. Defaults to `False`.\n",
      " |      get_query_payload : bool, optional\n",
      " |          When set to `True` the method returns the HTTP request parameters.\n",
      " |          Defaults to `False`.\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      response : `requests.Response`\n",
      " |           Response of the query from the server.\n",
      " |  \n",
      " |  query_bibobj(self, bibcode, verbose=False, get_query_payload=False)\n",
      " |      Query all the objects that are contained in the article specified by\n",
      " |      the bibcode, and return results as a `~astropy.table.Table`.\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      bibcode : str\n",
      " |          the bibcode of the article\n",
      " |      get_query_payload : bool, optional\n",
      " |          When set to `True` the method returns the HTTP request parameters.\n",
      " |          Defaults to `False`.\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      table : `~astropy.table.Table`\n",
      " |          Query results table\n",
      " |  \n",
      " |  query_bibobj_async(self, bibcode, cache=True, get_query_payload=False)\n",
      " |      Serves the same function as `query_bibobj`, but only collects the\n",
      " |      response from the Simbad server and returns.\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      bibcode : str\n",
      " |          the bibcode of the article\n",
      " |      get_query_payload : bool, optional\n",
      " |          When set to `True` the method returns the HTTP request parameters.\n",
      " |          Defaults to `False`.\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      response : `requests.Response`\n",
      " |           Response of the query from the server.\n",
      " |  \n",
      " |  query_catalog(self, catalog, verbose=False, cache=True, get_query_payload=False)\n",
      " |      Queries a whole catalog.\n",
      " |      \n",
      " |      Results may be very large -number of rows\n",
      " |      should be controlled by configuring `SimbadClass.ROW_LIMIT`.\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      catalog : str\n",
      " |          the name of the catalog.\n",
      " |      get_query_payload : bool, optional\n",
      " |          When set to `True` the method returns the HTTP request parameters.\n",
      " |          Defaults to `False`.\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      table : `~astropy.table.Table`\n",
      " |          Query results table\n",
      " |  \n",
      " |  query_catalog_async(self, catalog, cache=True, get_query_payload=False)\n",
      " |      Serves the same function as `query_catalog`, but\n",
      " |      only collects the response from the Simbad server and returns.\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      catalog : str\n",
      " |          the name of the catalog.\n",
      " |      get_query_payload : bool, optional\n",
      " |          When set to `True` the method returns the HTTP request parameters.\n",
      " |          Defaults to `False`.\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      response : `requests.Response`\n",
      " |           Response of the query from the server.\n",
      " |  \n",
      " |  query_criteria(self, *args, **kwargs)\n",
      " |      Query SIMBAD based on any criteria.\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      args:\n",
      " |          String arguments passed directly to SIMBAD's script\n",
      " |          (e.g., 'region(box, GAL, 10.5 -10.5, 0.5d 0.5d)')\n",
      " |      kwargs:\n",
      " |          Keyword / value pairs passed to SIMBAD's script engine\n",
      " |          (e.g., {'otype':'SNR'} will be rendered as otype=SNR)\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      table : `~astropy.table.Table`\n",
      " |          Query results table\n",
      " |  \n",
      " |  query_criteria_async(self, *args, **kwargs)\n",
      " |      Query SIMBAD based on any criteria.\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      args:\n",
      " |          String arguments passed directly to SIMBAD's script\n",
      " |          (e.g., 'region(box, GAL, 10.5 -10.5, 0.5d 0.5d)')\n",
      " |      kwargs:\n",
      " |          Keyword / value pairs passed to SIMBAD's script engine\n",
      " |          (e.g., {'otype':'SNR'} will be rendered as otype=SNR)\n",
      " |      cache : bool\n",
      " |          Cache the query?\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      response : `requests.Response`\n",
      " |          Response of the query from the server\n",
      " |  \n",
      " |  query_object(self, object_name, wildcard=False, verbose=False, get_query_payload=False)\n",
      " |      Queries Simbad for the given object and returns the result as a\n",
      " |      `~astropy.table.Table`. Object names may also be specified with\n",
      " |      wildcard.  See examples below.\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      object_name : str\n",
      " |          name of object to be queried\n",
      " |      wildcard : boolean, optional\n",
      " |          When it is set to `True` it implies that the object is specified\n",
      " |          with wildcards. Defaults to `False`.\n",
      " |      get_query_payload : bool, optional\n",
      " |          When set to `True` the method returns the HTTP request parameters.\n",
      " |          Defaults to `False`.\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      table : `~astropy.table.Table`\n",
      " |          Query results table\n",
      " |  \n",
      " |  query_object_async(self, object_name, wildcard=False, cache=True, get_query_payload=False)\n",
      " |      Serves the same function as `query_object`, but\n",
      " |      only collects the response from the Simbad server and returns.\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      object_name : str\n",
      " |          name of object to be queried\n",
      " |      wildcard : boolean, optional\n",
      " |          When it is set to `True` it implies that the object is specified\n",
      " |          with wildcards. Defaults to `False`.\n",
      " |      get_query_payload : bool, optional\n",
      " |          When set to `True` the method returns the HTTP request parameters.\n",
      " |          Defaults to `False`.\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      response : `requests.Response`\n",
      " |          Response of the query from the server\n",
      " |  \n",
      " |  query_objectids(self, object_name, verbose=False, cache=True, get_query_payload=False)\n",
      " |      Query Simbad with an object name, and return a table of all\n",
      " |      names associated with that object in a `~astropy.table.Table`.\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      object_name : str\n",
      " |          name of object to be queried\n",
      " |      get_query_payload : bool, optional\n",
      " |          When set to `True` the method returns the HTTP request parameters.\n",
      " |          Defaults to `False`.\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      table : `~astropy.table.Table`\n",
      " |          Query results table\n",
      " |  \n",
      " |  query_objectids_async(self, object_name, cache=True, get_query_payload=False)\n",
      " |      Serves the same function as `query_objectids`, but\n",
      " |      only collects the response from the Simbad server and returns.\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      object_name : str\n",
      " |          name of object to be queried\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      response : `requests.Response`\n",
      " |           Response of the query from the server.\n",
      " |  \n",
      " |  query_objects(self, object_names, wildcard=False, verbose=False, get_query_payload=False)\n",
      " |      Queries Simbad for the specified list of objects and returns the\n",
      " |      results as a `~astropy.table.Table`. Object names may be specified\n",
      " |      with wildcards if desired.\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      object_names : sequence of strs\n",
      " |          names of objects to be queried\n",
      " |      wildcard : boolean, optional\n",
      " |          When `True`, the names may have wildcards in them. Defaults to\n",
      " |          `False`.\n",
      " |      get_query_payload : bool, optional\n",
      " |          When set to `True` the method returns the HTTP request parameters.\n",
      " |          Defaults to `False`.\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      table : `~astropy.table.Table`\n",
      " |          Query results table\n",
      " |  \n",
      " |  query_objects_async(self, object_names, wildcard=False, cache=True, get_query_payload=False)\n",
      " |      Same as `query_objects`, but only collects the response from the\n",
      " |      Simbad server and returns.\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      object_names : sequence of strs\n",
      " |          names of objects to be queried\n",
      " |      wildcard : boolean, optional\n",
      " |          When `True`, the names may have wildcards in them. Defaults to\n",
      " |          `False`.\n",
      " |      get_query_payload : bool, optional\n",
      " |          When set to `True` the method returns the HTTP request parameters.\n",
      " |          Defaults to `False`.\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      response : `requests.Response`\n",
      " |          Response of the query from the server\n",
      " |  \n",
      " |  query_region(self, *args, **kwargs)\n",
      " |      Queries the service and returns a table object.\n",
      " |      \n",
      " |      Serves the same function as `query_region`, but\n",
      " |      only collects the response from the Simbad server and returns.\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      coordinates : str or `astropy.coordinates` object\n",
      " |          the identifier or coordinates around which to query.\n",
      " |      radius : str or `~astropy.units.Quantity`, optional\n",
      " |          the radius of the region. If missing, set to default\n",
      " |          value of 2 arcmin.\n",
      " |      equinox : float, optional\n",
      " |          the equinox of the coordinates. If missing set to\n",
      " |          default 2000.0.\n",
      " |      epoch : str, optional\n",
      " |          the epoch of the input coordinates. Must be specified as\n",
      " |          [J|B] <epoch>. If missing, set to default J2000.\n",
      " |      get_query_payload : bool, optional\n",
      " |          When set to `True` the method returns the HTTP request parameters.\n",
      " |          Defaults to `False`.\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      table : A `~astropy.table.Table` object.\n",
      " |  \n",
      " |  query_region_async(self, coordinates, radius=<Quantity 2. arcmin>, equinox=2000.0, epoch='J2000', cache=True, get_query_payload=False)\n",
      " |      Serves the same function as `query_region`, but\n",
      " |      only collects the response from the Simbad server and returns.\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      coordinates : str or `astropy.coordinates` object\n",
      " |          the identifier or coordinates around which to query.\n",
      " |      radius : str or `~astropy.units.Quantity`, optional\n",
      " |          the radius of the region. If missing, set to default\n",
      " |          value of 2 arcmin.\n",
      " |      equinox : float, optional\n",
      " |          the equinox of the coordinates. If missing set to\n",
      " |          default 2000.0.\n",
      " |      epoch : str, optional\n",
      " |          the epoch of the input coordinates. Must be specified as\n",
      " |          [J|B] <epoch>. If missing, set to default J2000.\n",
      " |      get_query_payload : bool, optional\n",
      " |          When set to `True` the method returns the HTTP request parameters.\n",
      " |          Defaults to `False`.\n",
      " |      \n",
      " |      Returns\n",
      " |      -------\n",
      " |      response : `requests.Response`\n",
      " |           Response of the query from the server.\n",
      " |  \n",
      " |  remove_votable_fields(self, *args, **kwargs)\n",
      " |      Removes the specified field names from ``SimbadClass._VOTABLE_FIELDS``\n",
      " |      \n",
      " |      Parameters\n",
      " |      ----------\n",
      " |      list of field_names to be removed\n",
      " |      strip_params: bool\n",
      " |          If true, strip the specified keywords before removing them:\n",
      " |          e.g., ra(foo) would remove ra(bar) if this is True\n",
      " |  \n",
      " |  reset_votable_fields(self)\n",
      " |      resets VOTABLE_FIELDS to defaults\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data and other attributes defined here:\n",
      " |  \n",
      " |  ROW_LIMIT = 0\n",
      " |  \n",
      " |  SIMBAD_URL = 'http://simbad.u-strasbg.fr/simbad/sim-script'\n",
      " |  \n",
      " |  TIMEOUT = 60\n",
      " |  \n",
      " |  WILDCARDS = {'*': 'Any string of characters (including an empty one)',...\n",
      " |  \n",
      " |  __abstractmethods__ = frozenset()\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Methods inherited from astroquery.query.BaseQuery:\n",
      " |  \n",
      " |  __call__(self, *args, **kwargs)\n",
      " |      init a fresh copy of self\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data descriptors inherited from astroquery.query.BaseQuery:\n",
      " |  \n",
      " |  __dict__\n",
      " |      dictionary for instance variables (if defined)\n",
      " |  \n",
      " |  __weakref__\n",
      " |      list of weak references to the object (if defined)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(Simbad)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "9b5a4508",
   "metadata": {},
   "source": [
    "Let's print the results of `list_votable_fields`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "27b9aed4",
   "metadata": {
    "scrolled": true,
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--NOTES--\n",
      "\n",
      "1. The parameter filtername must correspond to an existing filter. Filters include: B,V,R,I,J,K.  They are checked by SIMBAD but not astroquery.simbad\n",
      "\n",
      "2. Fields beginning with rvz display the data as it is in the database. Fields beginning with rv force the display as a radial velocity. Fields beginning with z force the display as a redshift\n",
      "\n",
      "3. For each measurement catalog, the VOTable contains all fields of the first measurement. When applicable, the first measurement is the mean one. \n",
      "\n",
      "Available VOTABLE fields:\n",
      "\n",
      "bibcodelist(y1-y2)\n",
      "biblio\n",
      "cel\n",
      "cl.g\n",
      "coo(opt)\n",
      "coo_bibcode\n",
      "coo_err_angle\n",
      "coo_err_maja\n",
      "coo_err_mina\n",
      "coo_qual\n",
      "coo_wavelength\n",
      "coordinates\n",
      "dec(opt)\n",
      "dec_prec\n",
      "diameter\n",
      "dim\n",
      "dim_angle\n",
      "dim_bibcode\n",
      "dim_incl\n",
      "dim_majaxis\n",
      "dim_minaxis\n",
      "dim_qual\n",
      "dim_wavelength\n",
      "dimensions\n",
      "distance\n",
      "distance_result\n",
      "einstein\n",
      "fe_h\n",
      "flux(filtername)\n",
      "flux_bibcode(filtername)\n",
      "flux_error(filtername)\n",
      "flux_name(filtername)\n",
      "flux_qual(filtername)\n",
      "flux_system(filtername)\n",
      "flux_unit(filtername)\n",
      "fluxdata(filtername)\n",
      "gcrv\n",
      "gen\n",
      "gj\n",
      "hbet\n",
      "hbet1\n",
      "hgam\n",
      "id(opt)\n",
      "ids\n",
      "iras\n",
      "irc\n",
      "iso\n",
      "iue\n",
      "jp11\n",
      "link_bibcode\n",
      "main_id\n",
      "measurements\n",
      "membership\n",
      "mesplx\n",
      "mespm\n",
      "mk\n",
      "morphtype\n",
      "mt\n",
      "mt_bibcode\n",
      "mt_qual\n",
      "otype\n",
      "otype(opt)\n",
      "otypes\n",
      "parallax\n",
      "plx\n",
      "plx_bibcode\n",
      "plx_error\n",
      "plx_prec\n",
      "plx_qual\n",
      "pm\n",
      "pm_bibcode\n",
      "pm_err_angle\n",
      "pm_err_maja\n",
      "pm_err_mina\n",
      "pm_qual\n",
      "pmdec\n",
      "pmdec_prec\n",
      "pmra\n",
      "pmra_prec\n",
      "pos\n",
      "posa\n",
      "propermotions\n",
      "ra(opt)\n",
      "ra_prec\n",
      "rot\n",
      "rv_value\n",
      "rvz_bibcode\n",
      "rvz_error\n",
      "rvz_qual\n",
      "rvz_radvel\n",
      "rvz_type\n",
      "rvz_wavelength\n",
      "sao\n",
      "sp\n",
      "sp_bibcode\n",
      "sp_nature\n",
      "sp_qual\n",
      "sptype\n",
      "td1\n",
      "typed_id\n",
      "ubv\n",
      "uvby\n",
      "uvby1\n",
      "v*\n",
      "velocity\n",
      "xmm\n",
      "z_value\n",
      "For more information on a field:\n",
      "Simbad.get_field_description ('field_name') \n",
      "Currently active VOTABLE fields:\n",
      " ['main_id', 'coordinates']\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print(Simbad.list_votable_fields())"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "6d515ef1",
   "metadata": {},
   "source": [
    "We get a list of the available fields we can query to obtain in a table. If we are uncertain about the meaning of a field, we can get a description with `Simbad.get_field_description('field_name')`.\n",
    "\n",
    "Scrolling the output of the cell above we also learn that the currently active fields are the main_id and the coordinates. If we want more information, we need to request it specifically. We can do so by running `Simbad.add_votable_fields('field_name')` before querying the object:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "800d0890",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "all bibcodes of an astronomical object separated with a ipipe\n"
     ]
    }
   ],
   "source": [
    "Simbad.get_field_description(\"biblio\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5d99af87",
   "metadata": {
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><i>Table length=1</i>\n",
       "<table id=\"table140549992135120\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>MAIN_ID</th><th>RA</th><th>DEC</th><th>RA_PREC</th><th>DEC_PREC</th><th>COO_ERR_MAJA</th><th>COO_ERR_MINA</th><th>COO_ERR_ANGLE</th><th>COO_QUAL</th><th>COO_WAVELENGTH</th><th>COO_BIBCODE</th><th>OTYPE</th><th>GALDIM_MAJAXIS</th><th>GALDIM_MINAXIS</th><th>GALDIM_ANGLE</th><th>GALDIM_BIBCODE</th><th>BIBLIO</th><th>SCRIPT_NUMBER_ID</th></tr></thead>\n",
       "<thead><tr><th></th><th>&quot;h:m:s&quot;</th><th>&quot;d:m:s&quot;</th><th></th><th></th><th>mas</th><th>mas</th><th>deg</th><th></th><th></th><th></th><th></th><th>arcmin</th><th>arcmin</th><th>deg</th><th></th><th></th><th></th></tr></thead>\n",
       "<thead><tr><th>object</th><th>str13</th><th>str13</th><th>int16</th><th>int16</th><th>float32</th><th>float32</th><th>int16</th><th>str1</th><th>str1</th><th>object</th><th>object</th><th>float32</th><th>float32</th><th>int16</th><th>object</th><th>object</th><th>int32</th></tr></thead>\n",
       "<tr><td>NGC  4038</td><td>12 01 53.002</td><td>-18 52 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       "</table></div>"
      ],
      "text/plain": [
       "<Table length=1>\n",
       " MAIN_ID       RA      ... SCRIPT_NUMBER_ID\n",
       "            \"h:m:s\"    ...                 \n",
       "  object     str13     ...      int32      \n",
       "--------- ------------ ... ----------------\n",
       "NGC  4038 12 01 53.002 ...                1"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Simbad.reset_votable_fields()\n",
    "Simbad.add_votable_fields(\"otype\", \"dim\", \"dim_bibcode\", \"biblio\")\n",
    "info_simbad = Simbad.query_object(\"NGC4038\")\n",
    "info_simbad"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "e14c3821",
   "metadata": {},
   "source": [
    "We now know the object type \"galaxy in pair\" `GinPair`, the object dimensions (major axis `GALDIM_MAJAXIS`, minor axis `GALDIM_MINAXIS`, inclination angle `GALDIM_ANGLE`) with the related bibliographic reference.\n",
    "\n",
    "We can find the other galaxy of the pair by querying sources in a circle of 2 arcmin around NGC4038 of the same object type to; then we query sources in the same area with 100% membership probability."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7f16db86",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><i>Table length=2</i>\n",
       "<table id=\"table140550269636912\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>MAIN_ID</th><th>RA</th><th>DEC</th><th>RA_PREC</th><th>DEC_PREC</th><th>COO_ERR_MAJA</th><th>COO_ERR_MINA</th><th>COO_ERR_ANGLE</th><th>COO_QUAL</th><th>COO_WAVELENGTH</th><th>COO_BIBCODE</th><th>OTYPE</th><th>GALDIM_MAJAXIS</th><th>GALDIM_MINAXIS</th><th>GALDIM_ANGLE</th><th>GALDIM_BIBCODE</th><th>BIBLIO</th><th>SCRIPT_NUMBER_ID</th></tr></thead>\n",
       "<thead><tr><th></th><th>&quot;h:m:s&quot;</th><th>&quot;d:m:s&quot;</th><th></th><th></th><th>mas</th><th>mas</th><th>deg</th><th></th><th></th><th></th><th></th><th>arcmin</th><th>arcmin</th><th>deg</th><th></th><th></th><th></th></tr></thead>\n",
       "<thead><tr><th>object</th><th>str13</th><th>str13</th><th>int16</th><th>int16</th><th>float32</th><th>float32</th><th>int16</th><th>str1</th><th>str1</th><th>object</th><th>object</th><th>float32</th><th>float32</th><th>int16</th><th>object</th><th>object</th><th>int32</th></tr></thead>\n",
       "<tr><td>NGC  4038</td><td>12 01 53.002</td><td>-18 52 03.32</td><td>7</td><td>7</td><td>--</td><td>--</td><td>0</td><td>C</td><td>I</td><td>2006AJ....131.1163S</td><td>GinPair</td><td>5.2</td><td>3.1</td><td>80</td><td>2007ApJS..173..185G</td><td>2023ApJ...942L..13L|2022A&amp;A...659A.173E|2022A&amp;A...665A.137S|2022A&amp;A...667A..11C|2022ApJ...925..175S|2022ApJ...928..151F|2022ApJ...930..146W|2022ApJ...932...15A|2022ApJ...932...27B|2022ApJ...934L...7R|2022ApJ...936...92L|2022ApJ...937..120W|2022ApJ...940...32B|2022ApJS..263...17G|2022MNRAS.511..800A|2022MNRAS.512.1541G|2022MNRAS.512.3195Z|2022MNRAS.515.3555P|2022PASJ...74..343K|2021A&amp;A...647A..72K|2021AJ....161...93D|2021ApJ...908...75B|2021ApJ...923..197P|2021ApJS..257...35C|2021MNRAS.500.2076G|2021MNRAS.501..866M|2021PASJ...73..417T|2020A&amp;A...635A.131I|2020ApJ...898...75I|2020ApJ...898...83D|2020ApJ...900..124B|2020ApJ...901..143U|2020ApJ...901L..20B|2020MNRAS.492..993C|2020MNRAS.495.1073D|2020MNRAS.497.3860G|2020MNRAS.498.1651B|2020MNRAS.499....1F|2020MNRAS.499.4325R|2020RAA....20..189A|2019A&amp;A...622A.132M|2019A&amp;A...623A...5D|2019A&amp;A...624A.138Y|2019A&amp;A...625A..65R|2019A&amp;A...631A.165A|2019AJ....157..131B|2019ApJ...872...16D|2019ApJ...877....7W|2019ApJ...878..161J|2019ApJ...880..127J|2019ApJ...881..119P|2019ApJ...882...34F|2019ApJ...887..106A|2019ApJS..241...38S|2019ApJS..244...24L|2019MNRAS.482.2878V|2019MNRAS.490..848D|2019MNRAS.490.1539R|2018A&amp;A...609A..37C|2018A&amp;A...609A.134S|2018A&amp;A...609A.136T|2018A&amp;A...611A..55K|2018A&amp;A...611A..95W|2018A&amp;A...613A..35K|2018A&amp;A...614A..32W|2018A&amp;A...615A..33M|2018AJ....155...17C|2018ApJ...861...94H|2018ApJ...864...40P|2018ApJ...864..123M|2018ApJ...869...56B|2018ApJS..234...18B|2018ApJS..234...35Z|2018ApJS..237...36P|2018MNRAS.474..779G|2018MNRAS.475.3934L|2018MNRAS.476.2629M|2018MNRAS.479..517P|2018MNRAS.481.1212R|2018Natur.563..214K|2017A&amp;A...597A..28B|2017A&amp;A...600A.139H|2017A&amp;A...602A...4D|2017A&amp;A...602A...9C|2017A&amp;A...603A.119H|2017AJ....154...70W|2017AJ....154..211K|2017ApJ...835...28J|2017ApJ...835..223S|2017ApJ...836..101C|2017ApJ...837..120G|2017ApJ...839...88K|2017ApJ...840....8S|2017ApJ...841...43E|2017ApJ...842..131S|2017ApJ...843...16K|2017ApJ...843...91L|2017ApJ...846....5L|2017MNRAS.464.1003B|2017MNRAS.464.3315A|2017MNRAS.466.3442J|2017MNRAS.468..492P|2017MNRAS.470.4989S|2017MNRAS.471.2254Z|2017PASJ...69....6U|2017PASJ...69...18T|2017PASJ...69...66K|2016A&amp;A...585A.142P|2016A&amp;A...587A..45H|2016A&amp;A...587A..72B|2016A&amp;A...587A.147A|2016A&amp;A...587A.160D|2016A&amp;A...588A..14T|2016A&amp;A...593A..43V|2016A&amp;A...593A..89R|2016A&amp;ARv..24....4B|2016AJ....152...50T|2016ApJ...821..119C|2016ApJ...823...87S|2016ApJ...826...56R|2016ApJ...829...20W|2016ApJ...829...93K|2016ApJ...830...10H|2016ApJ...833..231T|2016MNRAS.457.1107H|2016MNRAS.458..158D|2016MNRAS.458..988R|2016MNRAS.458.3968P|2016MNRAS.459..720H|2016MNRAS.461.3001T|2016MNRAS.462...92J|2016PASJ...68R...1H|2015A&amp;A...578A..95I|2015A&amp;A...579A..44D|2015AJ....150...43T|2015ApJ...802...20R|2015ApJ...802...81M|2015ApJ...805...31L|2015ApJ...812..118A|2015ApJ...812..160L|2015ApJ...815..103B|2015ApJS..217...32B|2015ApJS..219....4S|2015ApJS..220....6B|2015ApJS..220....9F|2015MNRAS.446.2038R|2015MNRAS.447.3639M|2015MNRAS.448.1107M|2015MNRAS.449.1309G|2015MNRAS.451.1307Z|2015MNRAS.452..246A|2015MNRAS.453.2885R|2015MNRAS.454.3816C|2015RAA....15..785L|2014A&amp;A...568A..62D|2014A&amp;A...568A..66M|2014A&amp;A...568A.122Z|2014A&amp;A...569A..91K|2014A&amp;ARv..22...77B|2014AJ....147....5R|2014AJ....147...78W|2014AJ....147...99M|2014AJ....148..130A|2014ApJ...780...19R|2014ApJ...780...36F|2014ApJ...781...12H|2014ApJ...781..101S|2014ApJ...782...97A|2014ApJ...785...39L|2014ApJ...787..103H|2014ApJ...789..124D|2014ApJ...790..122T|2014ApJ...795..156W|2014ApJ...795..174K|2014ApJS..213...19B|2014AstL...40...11T|2014MNRAS.440..821B|2014MNRAS.440.1138E|2014MNRAS.441.3570G|2014MNRAS.443..111B|2014MNRAS.443.1849S|2014MNRAS.444.3015L|2014MNRAS.445.1412Z|2013A&amp;A...549A.136T|2013AJ....145...27Z|2013AJ....146...30K|2013AJ....146...86T|2013ARA&amp;A..51..207B|2013ATel.5162....1E|2013ApJ...765..141N|2013ApJ...767...72R|2013ApJ...768...90L|2013ApJ...768..194M|2013ApJ...770...29C|2013ApJ...771..120P|2013ApJ...777..126S|2013ApJ...779...38P|2013MNRAS.429.1858D|2013MNRAS.431.1252B|2013MNRAS.431L..83R|2013MNRAS.432..506P|2013MNRAS.434..696K|2013MNRAS.434.2866F|2013MNRAS.435..809A|2013MNRAS.436..774E|2013MNRAS.436.2852B|2013MNRAS.436.3464K|2013MNRAS.436L.109E|2013PASJ...65...20K|2012A&amp;A...538L...9H|2012A&amp;A...539A..77V|2012A&amp;A...543A..61B|2012A&amp;A...545A..69W|2012A&amp;A...547A..17M|2012A&amp;A...547A..65B|2012A&amp;ARv..20...50G|2012AJ....144..125M|2012AJ....144..156K|2012ApJ...745...65U|2012ApJ...746...28Z|2012ApJ...748..102T|2012ApJ...750..136W|2012ApJ...753...78T|2012ApJ...758...99R|2012ApJ...759...25M|2012ApJ...759...41J|2012ApJ...760L..25E|2012MNRAS.419.2095M|2012MNRAS.422.3339W|2012MNRAS.423..197B|2012MNRAS.423.1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       "<tr><td>NGC  4039</td><td>12 01 53.8</td><td>-18 53 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       "</table></div>"
      ],
      "text/plain": [
       "<Table length=2>\n",
       " MAIN_ID       RA      ... SCRIPT_NUMBER_ID\n",
       "            \"h:m:s\"    ...                 \n",
       "  object     str13     ...      int32      \n",
       "--------- ------------ ... ----------------\n",
       "NGC  4038 12 01 53.002 ...                0\n",
       "NGC  4039   12 01 53.8 ...                0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "siblings = Simbad.query_criteria(\"region(circle, NGC4038, 2m)\", otype=\"GinPair\")\n",
    "siblings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9e5ced40",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><i>Table length=4</i>\n",
       "<table id=\"table140549992462464\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>MAIN_ID</th><th>RA</th><th>DEC</th><th>RA_PREC</th><th>DEC_PREC</th><th>COO_ERR_MAJA</th><th>COO_ERR_MINA</th><th>COO_ERR_ANGLE</th><th>COO_QUAL</th><th>COO_WAVELENGTH</th><th>COO_BIBCODE</th><th>OTYPE</th><th>GALDIM_MAJAXIS</th><th>GALDIM_MINAXIS</th><th>GALDIM_ANGLE</th><th>GALDIM_BIBCODE</th><th>BIBLIO</th><th>SCRIPT_NUMBER_ID</th></tr></thead>\n",
       "<thead><tr><th></th><th>&quot;h:m:s&quot;</th><th>&quot;d:m:s&quot;</th><th></th><th></th><th>mas</th><th>mas</th><th>deg</th><th></th><th></th><th></th><th></th><th>arcmin</th><th>arcmin</th><th>deg</th><th></th><th></th><th></th></tr></thead>\n",
       "<thead><tr><th>object</th><th>str13</th><th>str13</th><th>int16</th><th>int16</th><th>float32</th><th>float32</th><th>int16</th><th>str1</th><th>str1</th><th>object</th><th>object</th><th>float32</th><th>float32</th><th>int16</th><th>object</th><th>object</th><th>int32</th></tr></thead>\n",
       "<tr><td>NAME Antennae</td><td>12 01 53.170</td><td>-18 52 37.92</td><td>7</td><td>7</td><td>--</td><td>--</td><td>0</td><td>C</td><td>I</td><td>2006AJ....131.1163S</td><td>InteractingG</td><td>--</td><td>--</td><td>0</td><td></td><td>2023AJ....165...66F|2023ApJ...942L..13L|2023ApJ...943..132L|2023ApJ...943..142C|2023ApJ...944L..14W|2023ApJ...944L..15S|2023ApJ...944L..55L|2022A&amp;A...658A..54C|2022A&amp;A...659A..14P|2022A&amp;A...660A..60F|2022A&amp;A...661A.136G|2022A&amp;A...662A..87O|2022A&amp;A...665A.137S|2022A&amp;A...666A..29D|2022A&amp;A...667A...5R|2022A&amp;A...667A..11C|2022A&amp;A...667A..35R|2022AJ....163...14B|2022ApJ...927..166P|2022ApJ...928...15W|2022ApJ...928...57H|2022ApJ...928..169F|2022ApJ...929..154S|2022ApJ...930..146W|2022ApJ...931..121A|2022ApJ...932...15A|2022ApJ...932...27B|2022ApJ...932...47W|2022ApJ...934..115B|2022ApJ...934L...8J|2022ApJ...936...92L|2022ApJ...937..120W|2022MNRAS.509.5938H|2022MNRAS.510.2724O|2022MNRAS.510.4819S|2022MNRAS.512..661K|2022MNRAS.513..129B|2022MNRAS.514..265L|2022MNRAS.514.4560L|2022MNRAS.515.2928B|2022MNRAS.515.3555P|2022MNRAS.516.1462T|2022MNRAS.516.3532M|2022MNRAS.516.4066L|2022MNRAS.516.4194K|2022MNRAS.517.1313M|2022MNRAS.517L.126S|2022PASJ...74..343K|2021A&amp;A...645A..45C|2021A&amp;A...646A.122B|2021A&amp;A...647A.138V|2021A&amp;A...649A.137P|2021A&amp;A...650A.103D|2021A&amp;A...653A..47M|2021AJ....161...93D|2021ApJ...908...30K|2021ApJ...908..121E|2021ApJ...908L..31O|2021ApJ...909...56L|2021ApJ...910..104I|2021ApJ...911..104K|2021ApJ...912....4L|2021ApJ...912...31H|2021ApJ...917...13S|2021ApJ...917...36K|2021ApJ...920..105C|2021ApJ...922...86L|2021ApJ...923..278L|2021ApJS..257...35C|2021ApJS..257...57U|2021MNRAS.500.2076G|2021MNRAS.500.4422C|2021MNRAS.500.4730B|2021MNRAS.502.2238M|2021MNRAS.502.5185M|2021MNRAS.502L..79I|2021MNRAS.503..106B|2021MNRAS.503.2168P|2021MNRAS.503.2187C|2021MNRAS.503.2622C|2021MNRAS.503.3113M|2021MNRAS.503.6170B|2021MNRAS.506.1777M|2021MNRAS.506.1896K|2021MNRAS.506.4841T|2021MNRAS.507.5542M|2021MNRAS.508.3672P|2021PASJ...73..417T|2020A&amp;A...634L...1B|2020A&amp;A...639A..30M|2020AJ....159..167L|2020AJ....159..180K|2020ApJ...889..154W|2020ApJ...890...18M|2020ApJ...890..149T|2020ApJ...890..150C|2020ApJ...891....2L|2020ApJ...893..135M|2020ApJ...895...85M|2020ApJ...898..110N|2020ApJ...900..124B|2020ApJ...901L..20B|2020ApJ...903...50E|2020ApJ...904..164N|2020MNRAS.492..993C|2020MNRAS.493.5653Z|2020MNRAS.495.1073D|2020MNRAS.496...36P|2020MNRAS.496.5243H|2020MNRAS.496L...1D|2020MNRAS.497.3591S|2020MNRAS.497.3860G|2020MNRAS.499.3267A|2019A&amp;A...621A.104R|2019A&amp;A...624A.138Y|2019A&amp;A...625A..65R|2019AJ....157..131B|2019AJ....158..169S|2019ApJ...870...80L|2019ApJ...871...37H|2019ApJ...871..115Z|2019ApJ...871..122J|2019ApJ...872...93M|2019ApJ...872..148C|2019ApJ...874..120F|2019ApJ...876..130H|2019ApJ...877....7W|2019ApJ...877..135N|2019ApJ...878..161J|2019ApJ...879...41K|2019ApJ...880..127J|2019ApJ...881..119P|2019ApJ...882...31A|2019ApJ...882...34F|2019ApJ...883..102K|2019ApJ...885..107N|2019MNRAS.483..711A|2019MNRAS.483.3618V|2019MNRAS.483.4291C|2019MNRAS.483.4707G|2019MNRAS.484.5009E|2019MNRAS.485.3588K|2019MNRAS.485.4997D|2019MNRAS.486.2604Z|2019MNRAS.487.3183M|2019MNRAS.487.4238M|2019MNRAS.487.4550P|2019MNRAS.488.3972T|2019MNRAS.488.5400N|2019MNRAS.489..708L|2019MNRAS.489.2746U|2019MNRAS.490.1714P|2019MNRAS.490.2139R|2019MNRAS.490.4804C|2019NatAs...3..822M|2019NatAs...3.1115D|2018A&amp;A...611A..95W|2018A&amp;A...614A..32W|2018A&amp;A...615A..33M|2018A&amp;A...618A..81T|2018AJ....155...17C|2018AJ....155...81S|2018AJ....156...21H|2018AJ....156..166P|2018AJ....156..215L|2018ApJ...853...88E|2018ApJ...853..125J|2018ApJ...858...16G|2018ApJ...860...90V|2018ApJ...860..169K|2018ApJ...860..172S|2018ApJ...861...94H|2018ApJ...861..107L|2018ApJ...862..120K|2018ApJ...862..147M|2018ApJ...863...43W|2018ApJ...863..171S|2018ApJ...864...38L|2018ApJ...866...77E|2018ApJ...868...16H|2018ApJ...868...75S|2018ApJ...869..119E|2018ApJ...869L..38T|2018ApJS..234...35Z|2018ApJS..237...36P|2018MNRAS.473..585R|2018MNRAS.473..996M|2018MNRAS.473.5015A|2018MNRAS.474..580P|2018MNRAS.475.3934L|2018MNRAS.477.1683M|2018MNRAS.477.5001G|2018MNRAS.478.4142T|2018MNRAS.480.3257M|2018MNRAS.481.1016G|2018PASP..130g2001G|2017A&amp;A...597A..28B|2017A&amp;A...597A..41G|2017A&amp;A...600A.139H|2017A&amp;A...602A.112D|2017A&amp;A...604A...2S|2017A&amp;A...605A..81D|2017A&amp;A...606A..86C|2017A&amp;A...606A..95C|2017A&amp;A...608A..53J|2017A&amp;A...608A.144Y|2017AJ....154..211K|2017ApJ...835...60W|2017ApJ...835..174S|2017ApJ...835..223S|2017ApJ...836...74J|2017ApJ...836..190K|2017ApJ...837...70M|2017ApJ...837..137M|2017ApJ...839...78J|2017ApJ...840....8S|2017ApJ...841...43E|2017ApJ...841..131A|2017ApJ...843...91L|2017ApJ...844...81L|2017ApJ...844..108M|2017ApJ...846....5L|2017ApJ...847..112D|2017ApJ...849..128C|2017MNRAS.464..491F|2017MNRAS.464.1003B|2017MNRAS.464.3580D|2017MNRAS.465.1375S|2017MNRAS.465.1934F|2017MNRAS.465.2820D|2017MNRAS.465.3461Z|2017MNRAS.466.2895C|2017MNRAS.467L...1E|2017MNRAS.468.4134C|2017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       "<tr><td>[CEB2007] Cluster 3</td><td>12 01 54.56</td><td>-18 53 04.0</td><td>6</td><td>6</td><td>--</td><td>--</td><td>0</td><td>D</td><td></td><td>2007ApJ...658..319C</td><td>Cluster*</td><td>--</td><td>--</td><td>0</td><td></td><td>2010ApJ...710.1746G|2007ApJ...658..319C</td><td>0</td></tr>\n",
       "<tr><td>NGC  4038</td><td>12 01 53.002</td><td>-18 52 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       "<tr><td>NGC  4039</td><td>12 01 53.8</td><td>-18 53 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       "</table></div>"
      ],
      "text/plain": [
       "<Table length=4>\n",
       "      MAIN_ID            RA      ... SCRIPT_NUMBER_ID\n",
       "                      \"h:m:s\"    ...                 \n",
       "       object          str13     ...      int32      \n",
       "------------------- ------------ ... ----------------\n",
       "      NAME Antennae 12 01 53.170 ...                0\n",
       "[CEB2007] Cluster 3  12 01 54.56 ...                0\n",
       "          NGC  4038 12 01 53.002 ...                0\n",
       "          NGC  4039   12 01 53.8 ...                0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "members = Simbad.query_criteria(\"region(circle, NGC4038, 2m)\", membership=100)\n",
    "members"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "8fd74788",
   "metadata": {},
   "source": [
    "More on Simbad features: https://astroquery.readthedocs.io/en/latest/simbad/simbad.html\n",
    "\n",
    "More on Simbad query criteria: http://simbad.cds.unistra.fr/simbad/sim-fsam"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83dcdad2",
   "metadata": {},
   "source": [
    "## Step #2: Visualise the source on a sky map\n",
    "\n",
    "[![Aladin](https://custom-icon-badges.demolab.com/badge/Aladin-gray.svg?logo=aladin&logoColor=purple&logoWidth=20)](https://aladin.cds.unistra.fr/aladin.gml \"https://aladin.cds.unistra.fr/aladin.gml\")\n",
    "\n",
    "We now open the [Aladin Lite widget](https://github.com/cds-astro/ipyaladin \"https://github.com/cds-astro/ipyaladin\"). We set it first to **center** on the Antennae galaxies, have a **field of view** of 0.5 $^\\circ$ and show colour images from the Digitized Sky Survey ([DSS](https://archive.stsci.edu/cgi-bin/dss_form)). Typing `aladin` in the second line of code tells the notebook to display the widget. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1aa25b5d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "075f39ee560143868c73c2622d4846dc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Aladin(fov=0.5, options=['allow_full_zoomout', 'coo_frame', 'fov', 'full_screen', 'log', 'overlay_survey', 'ov…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aladin = Aladin(target=\"Antennae\", fov=0.5, survey=\"P/DSS2/color\")\n",
    "aladin"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "e9b90cc9",
   "metadata": {},
   "source": [
    "As with any Aladin Lite implementation, we can interact with this widget. For example we can:\n",
    " - scroll with our mouse pointer on the image to zoom in and out,  \n",
    " - select other image surveys and manage the current view with ![layers](images/ipyaladin_layer.png)\n",
    " - look at another target using the search field ![search](images/ipyaladin_search.png). \n",
    "\n",
    "We can also directly change the properties of the variable `aladin`. For example, to focus on M101 instead of the Antennae galaxies:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b554a762",
   "metadata": {},
   "outputs": [],
   "source": [
    "aladin.target = \"M101\""
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "c79ed516",
   "metadata": {},
   "source": [
    "## Step #3: Find and visualize additional data\n",
    "\n",
    "[![Aladin](https://custom-icon-badges.demolab.com/badge/Aladin-gray.svg?logo=aladin&logoColor=purple&logoWidth=20)](https://aladin.cds.unistra.fr/aladin.gml \"https://aladin.cds.unistra.fr/aladin.gml\")\n",
    "[![Simbad](https://custom-icon-badges.demolab.com/badge/Simbad-gray.svg?logo=simbad&logoColor=lightblue&logoWidth=20)](https://simbad.u-strasbg.fr/simbad/ \"https://simbad.u-strasbg.fr/simbad/\")\n",
    "[![Vizier](https://custom-icon-badges.demolab.com/badge/Vizier-gray.svg?logo=vizier&logoColor=orange&logoWidth=20)](https://vizier.cds.unistra.fr/viz-bin/VizieR \"https://vizier.cds.unistra.fr/viz-bin/VizieR\")\n",
    "\n",
    "We want to look for data related to HII regions in these interacting galaxies. We make a query in <ins>Simbad</ins> for HII regions within 14 arcmin around the Antennae galaxies. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "5a32296b",
   "metadata": {
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><i>Table length=317</i>\n",
       "<table id=\"table140548648122016\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>MAIN_ID</th><th>RA</th><th>DEC</th><th>RA_PREC</th><th>DEC_PREC</th><th>COO_ERR_MAJA</th><th>COO_ERR_MINA</th><th>COO_ERR_ANGLE</th><th>COO_QUAL</th><th>COO_WAVELENGTH</th><th>COO_BIBCODE</th><th>OTYPE</th><th>GALDIM_MAJAXIS</th><th>GALDIM_MINAXIS</th><th>GALDIM_ANGLE</th><th>GALDIM_BIBCODE</th><th>BIBLIO</th><th>SCRIPT_NUMBER_ID</th></tr></thead>\n",
       "<thead><tr><th></th><th>&quot;h:m:s&quot;</th><th>&quot;d:m:s&quot;</th><th></th><th></th><th>mas</th><th>mas</th><th>deg</th><th></th><th></th><th></th><th></th><th>arcmin</th><th>arcmin</th><th>deg</th><th></th><th></th><th></th></tr></thead>\n",
       "<thead><tr><th>object</th><th>str13</th><th>str13</th><th>int16</th><th>int16</th><th>float32</th><th>float32</th><th>int16</th><th>str1</th><th>str1</th><th>object</th><th>object</th><th>float32</th><th>float32</th><th>int16</th><th>object</th><th>object</th><th>int32</th></tr></thead>\n",
       "<tr><td>RX J120155.4-185209</td><td>12 01 55.4</td><td>-18 52 09</td><td>5</td><td>5</td><td>--</td><td>--</td><td>0</td><td>D</td><td></td><td></td><td>HIIReg</td><td>--</td><td>--</td><td>0</td><td></td><td>1997ApJ...478..542F|1995MNRAS.277..397R</td><td>0</td></tr>\n",
       "<tr><td>RX J120150.8-185220</td><td>12 01 50.9</td><td>-18 52 20</td><td>5</td><td>5</td><td>--</td><td>--</td><td>0</td><td>D</td><td></td><td></td><td>HIIReg</td><td>--</td><td>--</td><td>0</td><td></td><td>2000AJ....120..670N|1997ApJ...478..542F|1995MNRAS.277..397R</td><td>0</td></tr>\n",
       "<tr><td>[MDL92]    I</td><td>12 01 27.29</td><td>-19 00 54.7</td><td>6</td><td>6</td><td>--</td><td>--</td><td>0</td><td>D</td><td></td><td>2004AJ....127..660S</td><td>HIIReg</td><td>--</td><td>--</td><td>0</td><td></td><td>2004AJ....127..660S|2001AJ....122.2969H|1992A&amp;A...256L..19M</td><td>0</td></tr>\n",
       "<tr><td>[MDL92]   II</td><td>12 01 27.57</td><td>-19 01 01.6</td><td>6</td><td>6</td><td>--</td><td>--</td><td>0</td><td>D</td><td></td><td>2004AJ....127..660S</td><td>HIIReg</td><td>--</td><td>--</td><td>0</td><td></td><td>2004AJ....127..660S|2001AJ....122.2969H|1992A&amp;A...256L..19M</td><td>0</td></tr>\n",
       "<tr><td>[MDL92]  III</td><td>12 01 25.30</td><td>-19 00 40.3</td><td>6</td><td>6</td><td>--</td><td>--</td><td>0</td><td>D</td><td></td><td>2004AJ....127..660S</td><td>HIIReg</td><td>--</td><td>--</td><td>0</td><td></td><td>2004AJ....127..660S|2001AJ....122.2969H|1992A&amp;A...256L..19M</td><td>0</td></tr>\n",
       "<tr><td>[ZBF2015] Arp244   1</td><td>12 01 54.60</td><td>-18 53 03.1</td><td>6</td><td>6</td><td>--</td><td>--</td><td>0</td><td>D</td><td>O</td><td>2014MNRAS.445.1412Z</td><td>HIIReg</td><td>0.0875</td><td>0.0875</td><td>90</td><td>2014MNRAS.445.1412Z</td><td>2015MNRAS.451.1307Z|2014MNRAS.445.1412Z</td><td>0</td></tr>\n",
       "<tr><td>[ZBF2015] Arp244   2</td><td>12 01 55.70</td><td>-18 52 42.1</td><td>6</td><td>6</td><td>--</td><td>--</td><td>0</td><td>D</td><td>O</td><td>2014MNRAS.445.1412Z</td><td>HIIReg</td><td>0.079</td><td>0.079</td><td>90</td><td>2014MNRAS.445.1412Z</td><td>2015MNRAS.451.1307Z|2014MNRAS.445.1412Z</td><td>0</td></tr>\n",
       "<tr><td>[ZBF2015] Arp244   3</td><td>12 01 55.40</td><td>-18 52 48.5</td><td>6</td><td>6</td><td>--</td><td>--</td><td>0</td><td>D</td><td>O</td><td>2014MNRAS.445.1412Z</td><td>HIIReg</td><td>0.0585</td><td>0.0585</td><td>90</td><td>2014MNRAS.445.1412Z</td><td>2015MNRAS.451.1307Z|2014MNRAS.445.1412Z</td><td>0</td></tr>\n",
       "<tr><td>[ZBF2015] Arp244   4</td><td>12 01 54.50</td><td>-18 51 55.9</td><td>6</td><td>6</td><td>--</td><td>--</td><td>0</td><td>D</td><td>O</td><td>2014MNRAS.445.1412Z</td><td>HIIReg</td><td>0.0878</td><td>0.0878</td><td>90</td><td>2014MNRAS.445.1412Z</td><td>2015MNRAS.451.1307Z|2014MNRAS.445.1412Z</td><td>0</td></tr>\n",
       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
       "<tr><td>[ZBF2015] Arp244 281</td><td>12 01 52.80</td><td>-18 52 02.2</td><td>6</td><td>6</td><td>--</td><td>--</td><td>0</td><td>D</td><td>O</td><td>2014MNRAS.445.1412Z</td><td>HIIReg</td><td>0.0125</td><td>0.0125</td><td>90</td><td>2014MNRAS.445.1412Z</td><td>2015MNRAS.451.1307Z|2014MNRAS.445.1412Z</td><td>0</td></tr>\n",
       "<tr><td>[ZBF2015] Arp244 283</td><td>12 01 55.20</td><td>-18 52 40.3</td><td>6</td><td>6</td><td>--</td><td>--</td><td>0</td><td>D</td><td>O</td><td>2014MNRAS.445.1412Z</td><td>HIIReg</td><td>0.0125</td><td>0.0125</td><td>90</td><td>2014MNRAS.445.1412Z</td><td>2015MNRAS.451.1307Z|2014MNRAS.445.1412Z</td><td>0</td></tr>\n",
       "<tr><td>[ZBF2015] Arp244 285</td><td>12 01 55.80</td><td>-18 52 09.2</td><td>6</td><td>6</td><td>--</td><td>--</td><td>0</td><td>D</td><td>O</td><td>2014MNRAS.445.1412Z</td><td>HIIReg</td><td>0.0125</td><td>0.0125</td><td>90</td><td>2014MNRAS.445.1412Z</td><td>2015MNRAS.451.1307Z|2014MNRAS.445.1412Z</td><td>0</td></tr>\n",
       "<tr><td>[ZBF2015] Arp244 287</td><td>12 01 52.60</td><td>-18 52 15.9</td><td>6</td><td>6</td><td>--</td><td>--</td><td>0</td><td>D</td><td>O</td><td>2014MNRAS.445.1412Z</td><td>HIIReg</td><td>0.0085</td><td>0.0085</td><td>90</td><td>2014MNRAS.445.1412Z</td><td>2015MNRAS.451.1307Z|2014MNRAS.445.1412Z</td><td>0</td></tr>\n",
       "<tr><td>[ZBF2015] Arp244 289</td><td>12 01 55.00</td><td>-18 52 47.9</td><td>6</td><td>6</td><td>--</td><td>--</td><td>0</td><td>D</td><td>O</td><td>2014MNRAS.445.1412Z</td><td>HIIReg</td><td>0.0125</td><td>0.0125</td><td>90</td><td>2014MNRAS.445.1412Z</td><td>2015MNRAS.451.1307Z|2014MNRAS.445.1412Z</td><td>0</td></tr>\n",
       "<tr><td>[ZBF2015] Arp244 292</td><td>12 01 53.40</td><td>-18 53 05.6</td><td>6</td><td>6</td><td>--</td><td>--</td><td>0</td><td>D</td><td>O</td><td>2014MNRAS.445.1412Z</td><td>HIIReg</td><td>0.0125</td><td>0.0125</td><td>90</td><td>2014MNRAS.445.1412Z</td><td>2015MNRAS.451.1307Z|2014MNRAS.445.1412Z</td><td>0</td></tr>\n",
       "<tr><td>[ZBF2015] Arp244 293</td><td>12 01 54.70</td><td>-18 52 57.1</td><td>6</td><td>6</td><td>--</td><td>--</td><td>0</td><td>D</td><td>O</td><td>2014MNRAS.445.1412Z</td><td>HIIReg</td><td>0.0093</td><td>0.0093</td><td>90</td><td>2014MNRAS.445.1412Z</td><td>2015MNRAS.451.1307Z|2014MNRAS.445.1412Z</td><td>0</td></tr>\n",
       "<tr><td>[ZFB2014] HII 294</td><td>12 01 53.60</td><td>-18 51 49.0</td><td>6</td><td>6</td><td>--</td><td>--</td><td>0</td><td>D</td><td>O</td><td>2014MNRAS.445.1412Z</td><td>HIIReg</td><td>0.0125</td><td>0.0125</td><td>90</td><td>2014MNRAS.445.1412Z</td><td>2014MNRAS.445.1412Z</td><td>0</td></tr>\n",
       "<tr><td>[ZBF2015] Arp244 295</td><td>12 01 54.80</td><td>-18 53 01.9</td><td>6</td><td>6</td><td>--</td><td>--</td><td>0</td><td>D</td><td>O</td><td>2014MNRAS.445.1412Z</td><td>HIIReg</td><td>0.011</td><td>0.011</td><td>90</td><td>2014MNRAS.445.1412Z</td><td>2015MNRAS.451.1307Z|2014MNRAS.445.1412Z</td><td>0</td></tr>\n",
       "<tr><td>[ZBF2015] Arp244 300</td><td>12 01 54.70</td><td>-18 52 38.6</td><td>6</td><td>6</td><td>--</td><td>--</td><td>0</td><td>D</td><td>O</td><td>2014MNRAS.445.1412Z</td><td>HIIReg</td><td>0.0093</td><td>0.0093</td><td>90</td><td>2014MNRAS.445.1412Z</td><td>2015MNRAS.451.1307Z|2014MNRAS.445.1412Z</td><td>0</td></tr>\n",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=317>\n",
       "      MAIN_ID             RA     ... SCRIPT_NUMBER_ID\n",
       "                       \"h:m:s\"   ...                 \n",
       "       object           str13    ...      int32      \n",
       "-------------------- ----------- ... ----------------\n",
       " RX J120155.4-185209  12 01 55.4 ...                0\n",
       " RX J120150.8-185220  12 01 50.9 ...                0\n",
       "        [MDL92]    I 12 01 27.29 ...                0\n",
       "        [MDL92]   II 12 01 27.57 ...                0\n",
       "        [MDL92]  III 12 01 25.30 ...                0\n",
       "[ZBF2015] Arp244   1 12 01 54.60 ...                0\n",
       "[ZBF2015] Arp244   2 12 01 55.70 ...                0\n",
       "[ZBF2015] Arp244   3 12 01 55.40 ...                0\n",
       "[ZBF2015] Arp244   4 12 01 54.50 ...                0\n",
       "                 ...         ... ...              ...\n",
       "[ZBF2015] Arp244 281 12 01 52.80 ...                0\n",
       "[ZBF2015] Arp244 283 12 01 55.20 ...                0\n",
       "[ZBF2015] Arp244 285 12 01 55.80 ...                0\n",
       "[ZBF2015] Arp244 287 12 01 52.60 ...                0\n",
       "[ZBF2015] Arp244 289 12 01 55.00 ...                0\n",
       "[ZBF2015] Arp244 292 12 01 53.40 ...                0\n",
       "[ZBF2015] Arp244 293 12 01 54.70 ...                0\n",
       "   [ZFB2014] HII 294 12 01 53.60 ...                0\n",
       "[ZBF2015] Arp244 295 12 01 54.80 ...                0\n",
       "[ZBF2015] Arp244 300 12 01 54.70 ...                0"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table_simbad = Simbad.query_criteria(\"region(circle, Antennae, 14m)\", maintype=\"HII\")\n",
    "table_simbad"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61958f83",
   "metadata": {},
   "source": [
    "Once we have identified a bibliographic reference of interest, we can search the corresponding catalogs on <ins>VizieR</ins>. Here, the Biblio column has quite some occurrences of the reference `'2015MNRAS.451.1307Z'`.\n",
    "\n",
    "Remember that by default VizieR will only return 50 entries (as in the web interface). To get all sources, set `ROW_LIMIT=-1`.\n",
    "\n",
    "A good practice is to check first what data are available by querying only a subsample, then customize your Vizier query with the useful rows and columns before downloading the entire catalog."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "81ddc455",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: UnitsWarning: The unit 'pix' has been deprecated in the VOUnit standard. [astropy.units.format.utils]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "TableList with 2 tables:\n",
       "\t'0:J/MNRAS/451/1307/HIIreg' with 15 column(s) and 10 row(s) \n",
       "\t'1:J/MNRAS/451/1307/list' with 13 column(s) and 10 row(s) "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_viz = Vizier(row_limit=10).get_catalogs(\"2015MNRAS.451.1307Z\")\n",
    "cat_viz"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "4b881442",
   "metadata": {},
   "source": [
    "In the example above, we see that 2 tables are associated with the reference 2015MNRAS.451.1307Z: a table called 'HIIreg' accessible by the index [0] and a table called 'list' accessible by the index [1]. The number of rows has been fixed by the parameter `row_limit=10`.\n",
    "\n",
    "Let's check the 'HIIreg' table:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "6a3b42d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'ID': 'J_MNRAS_451_1307_HIIreg',\n",
       " 'name': 'J/MNRAS/451/1307/HIIreg',\n",
       " 'description': 'Physical properties of the brightest HII regions in interacting galaxies (table A1) and isolated galaxies (table A2)'}"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# print the metadata\n",
    "cat_viz[0].meta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f68b359a",
   "metadata": {
    "scrolled": true,
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><i>Table length=10</i>\n",
       "<table id=\"table140550277508928\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>Seq</th><th>n_Name</th><th>Name</th><th>Nf</th><th>RAJ2000</th><th>DEJ2000</th><th>logLHa</th><th>R</th><th>logMHII</th><th>rhoHII</th><th>sigma</th><th>alpVir</th><th>EWHa</th><th>logAge</th><th>Simbad</th></tr></thead>\n",
       "<thead><tr><th></th><th></th><th></th><th></th><th>&apos;h:m:s&apos;</th><th>&apos;d:m:s&apos;</th><th>log(1e-07W)</th><th>pc</th><th>log(solMass)</th><th>solMass / pc3</th><th>km / s</th><th></th><th>0.1 nm</th><th>log(yr)</th><th></th></tr></thead>\n",
       "<thead><tr><th>int16</th><th>str3</th><th>str7</th><th>int16</th><th>str10</th><th>str11</th><th>float32</th><th>int16</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>str6</th></tr></thead>\n",
       "<tr><td>1</td><td>int</td><td>NGC2146</td><td>3</td><td>06 18 39.4</td><td>+78 21 18.2</td><td>39.040</td><td>114</td><td>5.90</td><td>0.1270</td><td>15.0</td><td>40.0</td><td>159.79</td><td>6.770</td><td>Simbad</td></tr>\n",
       "<tr><td>2</td><td>int</td><td>NGC2146</td><td>3</td><td>06 18 38.1</td><td>+78 21 26.8</td><td>38.830</td><td>116</td><td>5.80</td><td>0.0970</td><td>17.0</td><td>60.0</td><td>54.70</td><td>6.810</td><td>Simbad</td></tr>\n",
       "<tr><td>3</td><td>int</td><td>NGC2146</td><td>3</td><td>06 18 44.6</td><td>+78 21 50.6</td><td>38.590</td><td>142</td><td>5.80</td><td>0.0550</td><td>11.0</td><td>30.0</td><td>125.30</td><td>6.780</td><td>Simbad</td></tr>\n",
       "<tr><td>4</td><td>int</td><td>NGC2146</td><td>3</td><td>06 18 27.7</td><td>+78 22 21.0</td><td>38.470</td><td>155</td><td>5.81</td><td>0.0410</td><td>8.6</td><td>20.0</td><td>119.64</td><td>6.780</td><td>Simbad</td></tr>\n",
       "<tr><td>5</td><td>int</td><td>NGC2146</td><td>3</td><td>06 18 35.0</td><td>+78 21 28.0</td><td>38.440</td><td>124</td><td>5.65</td><td>0.0560</td><td>15.0</td><td>80.0</td><td>103.35</td><td>6.790</td><td>Simbad</td></tr>\n",
       "<tr><td>6</td><td>int</td><td>NGC2146</td><td>3</td><td>06 18 42.8</td><td>+78 21 58.1</td><td>38.410</td><td>136</td><td>5.70</td><td>0.0470</td><td>4.0</td><td>--</td><td>155.86</td><td>6.770</td><td>Simbad</td></tr>\n",
       "<tr><td>7</td><td>int</td><td>NGC2146</td><td>3</td><td>06 18 39.8</td><td>+78 21 22.5</td><td>38.350</td><td>81</td><td>5.30</td><td>0.0960</td><td>15.0</td><td>100.0</td><td>109.47</td><td>6.790</td><td>Simbad</td></tr>\n",
       "<tr><td>8</td><td>int</td><td>NGC2146</td><td>3</td><td>06 18 48.0</td><td>+78 21 43.3</td><td>38.320</td><td>144</td><td>5.69</td><td>0.0390</td><td>4.0</td><td>--</td><td>81.89</td><td>6.800</td><td>Simbad</td></tr>\n",
       "<tr><td>9</td><td>int</td><td>NGC2146</td><td>3</td><td>06 18 42.1</td><td>+78 21 12.0</td><td>38.310</td><td>94</td><td>5.40</td><td>0.0730</td><td>4.0</td><td>--</td><td>103.95</td><td>6.790</td><td>Simbad</td></tr>\n",
       "<tr><td>10</td><td>int</td><td>NGC2146</td><td>3</td><td>06 18 44.2</td><td>+78 21 00.9</td><td>38.300</td><td>96</td><td>5.40</td><td>0.0700</td><td>4.0</td><td>--</td><td>67.87</td><td>6.800</td><td>Simbad</td></tr>\n",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=10>\n",
       " Seq  n_Name   Name    Nf   RAJ2000   ...  sigma   alpVir   EWHa   logAge Simbad\n",
       "                            'h:m:s'   ...  km / s          0.1 nm log(yr)       \n",
       "int16  str3    str7  int16   str10    ... float32 float32 float32 float32  str6 \n",
       "----- ------ ------- ----- ---------- ... ------- ------- ------- ------- ------\n",
       "    1    int NGC2146     3 06 18 39.4 ...    15.0    40.0  159.79   6.770 Simbad\n",
       "    2    int NGC2146     3 06 18 38.1 ...    17.0    60.0   54.70   6.810 Simbad\n",
       "    3    int NGC2146     3 06 18 44.6 ...    11.0    30.0  125.30   6.780 Simbad\n",
       "    4    int NGC2146     3 06 18 27.7 ...     8.6    20.0  119.64   6.780 Simbad\n",
       "    5    int NGC2146     3 06 18 35.0 ...    15.0    80.0  103.35   6.790 Simbad\n",
       "    6    int NGC2146     3 06 18 42.8 ...     4.0      --  155.86   6.770 Simbad\n",
       "    7    int NGC2146     3 06 18 39.8 ...    15.0   100.0  109.47   6.790 Simbad\n",
       "    8    int NGC2146     3 06 18 48.0 ...     4.0      --   81.89   6.800 Simbad\n",
       "    9    int NGC2146     3 06 18 42.1 ...     4.0      --  103.95   6.790 Simbad\n",
       "   10    int NGC2146     3 06 18 44.2 ...     4.0      --   67.87   6.800 Simbad"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# print the table itself\n",
    "cat_viz[0]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "e4b26551",
   "metadata": {},
   "source": [
    "Now we can customize our VizieR query by selecting columns, filtering over the interacting galaxies (`n_Name='int'`), and setting a luminosity treshold."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "8d3308b8",
   "metadata": {
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><i>Table length=249</i>\n",
       "<table id=\"table140550276226448\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>Name</th><th>RAJ2000</th><th>DEJ2000</th><th>logLHa</th><th>R</th><th>sigma</th></tr></thead>\n",
       "<thead><tr><th></th><th>&apos;h:m:s&apos;</th><th>&apos;d:m:s&apos;</th><th>log(1e-07W)</th><th>pc</th><th>km / s</th></tr></thead>\n",
       "<thead><tr><th>str7</th><th>str10</th><th>str11</th><th>float32</th><th>int16</th><th>float32</th></tr></thead>\n",
       "<tr><td>NGC2146</td><td>06 18 39.4</td><td>+78 21 18.2</td><td>39.040</td><td>114</td><td>15.0</td></tr>\n",
       "<tr><td>NGC2146</td><td>06 18 38.1</td><td>+78 21 26.8</td><td>38.830</td><td>116</td><td>17.0</td></tr>\n",
       "<tr><td>NGC2146</td><td>06 18 44.6</td><td>+78 21 50.6</td><td>38.590</td><td>142</td><td>11.0</td></tr>\n",
       "<tr><td>NGC2146</td><td>06 18 27.7</td><td>+78 22 21.0</td><td>38.470</td><td>155</td><td>8.6</td></tr>\n",
       "<tr><td>NGC2146</td><td>06 18 35.0</td><td>+78 21 28.0</td><td>38.440</td><td>124</td><td>15.0</td></tr>\n",
       "<tr><td>NGC2146</td><td>06 18 42.8</td><td>+78 21 58.1</td><td>38.410</td><td>136</td><td>4.0</td></tr>\n",
       "<tr><td>NGC2146</td><td>06 18 39.8</td><td>+78 21 22.5</td><td>38.350</td><td>81</td><td>15.0</td></tr>\n",
       "<tr><td>NGC2146</td><td>06 18 48.0</td><td>+78 21 43.3</td><td>38.320</td><td>144</td><td>4.0</td></tr>\n",
       "<tr><td>NGC2146</td><td>06 18 42.1</td><td>+78 21 12.0</td><td>38.310</td><td>94</td><td>4.0</td></tr>\n",
       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
       "<tr><td>Arp270</td><td>10 49 48.9</td><td>+32 58 52.0</td><td>38.070</td><td>128</td><td>4.0</td></tr>\n",
       "<tr><td>Arp270</td><td>10 49 51.3</td><td>+32 58 53.8</td><td>38.060</td><td>140</td><td>4.0</td></tr>\n",
       "<tr><td>Arp270</td><td>10 49 49.7</td><td>+32 58 49.3</td><td>38.060</td><td>79</td><td>4.0</td></tr>\n",
       "<tr><td>Arp270</td><td>10 49 53.2</td><td>+32 59 12.8</td><td>38.050</td><td>66</td><td>4.0</td></tr>\n",
       "<tr><td>Arp270</td><td>10 49 47.5</td><td>+32 58 20.9</td><td>38.050</td><td>130</td><td>4.0</td></tr>\n",
       "<tr><td>Arp270</td><td>10 49 48.6</td><td>+32 58 57.3</td><td>38.010</td><td>119</td><td>4.0</td></tr>\n",
       "<tr><td>NGC3769</td><td>11 37 43.7</td><td>+47 53 24.4</td><td>38.310</td><td>66</td><td>4.0</td></tr>\n",
       "<tr><td>NGC3769</td><td>11 37 44.8</td><td>+47 53 38.0</td><td>38.140</td><td>70</td><td>4.0</td></tr>\n",
       "<tr><td>NGC3769</td><td>11 37 45.5</td><td>+47 53 32.7</td><td>38.070</td><td>68</td><td>4.0</td></tr>\n",
       "<tr><td>NGC3769</td><td>11 37 44.1</td><td>+47 53 28.2</td><td>38.010</td><td>60</td><td>4.0</td></tr>\n",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=249>\n",
       "  Name   RAJ2000     DEJ2000      logLHa     R    sigma \n",
       "         'h:m:s'     'd:m:s'   log(1e-07W)   pc   km / s\n",
       "  str7    str10       str11      float32   int16 float32\n",
       "------- ---------- ----------- ----------- ----- -------\n",
       "NGC2146 06 18 39.4 +78 21 18.2      39.040   114    15.0\n",
       "NGC2146 06 18 38.1 +78 21 26.8      38.830   116    17.0\n",
       "NGC2146 06 18 44.6 +78 21 50.6      38.590   142    11.0\n",
       "NGC2146 06 18 27.7 +78 22 21.0      38.470   155     8.6\n",
       "NGC2146 06 18 35.0 +78 21 28.0      38.440   124    15.0\n",
       "NGC2146 06 18 42.8 +78 21 58.1      38.410   136     4.0\n",
       "NGC2146 06 18 39.8 +78 21 22.5      38.350    81    15.0\n",
       "NGC2146 06 18 48.0 +78 21 43.3      38.320   144     4.0\n",
       "NGC2146 06 18 42.1 +78 21 12.0      38.310    94     4.0\n",
       "    ...        ...         ...         ...   ...     ...\n",
       " Arp270 10 49 48.9 +32 58 52.0      38.070   128     4.0\n",
       " Arp270 10 49 51.3 +32 58 53.8      38.060   140     4.0\n",
       " Arp270 10 49 49.7 +32 58 49.3      38.060    79     4.0\n",
       " Arp270 10 49 53.2 +32 59 12.8      38.050    66     4.0\n",
       " Arp270 10 49 47.5 +32 58 20.9      38.050   130     4.0\n",
       " Arp270 10 49 48.6 +32 58 57.3      38.010   119     4.0\n",
       "NGC3769 11 37 43.7 +47 53 24.4      38.310    66     4.0\n",
       "NGC3769 11 37 44.8 +47 53 38.0      38.140    70     4.0\n",
       "NGC3769 11 37 45.5 +47 53 32.7      38.070    68     4.0\n",
       "NGC3769 11 37 44.1 +47 53 28.2      38.010    60     4.0"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_hii = Vizier(\n",
    "    columns=[\"Name\", \"RAJ2000\", \"DEJ2000\", \"logLHa\", \"R\", \"sigma\"],\n",
    "    column_filters={\"logLHa\": \">38\", \"n_Name\": \"int\"},\n",
    "    row_limit=-1,\n",
    ").get_catalogs(\"2015MNRAS.451.1307Z\")[0]\n",
    "\n",
    "cat_hii"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "91e09bd7",
   "metadata": {},
   "source": [
    "We can also display the table on <ins>Aladin</ins>\n",
    "(this should work by simply typing `aladin.add_table(cat_hii)`\n",
    "but if you get errors in the format of some columns, \n",
    "you can just send the name and coordinates to Aladin):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "b1649a7a",
   "metadata": {},
   "outputs": [],
   "source": [
    "aladin.add_table(cat_hii)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "cd7b2fb8",
   "metadata": {},
   "source": [
    "We can go up to the <ins>Aladin Lite</ins> widget, zoom out to see all the sources, then rotate and zoom in to see the interacting galaxies. We can click on one source to display the information in the table. \n",
    "\n",
    "We can change the view to the AllWISE Infrared survey, either in the widget:\n",
    "\n",
    "`Base image layer -> The Wide-field Infrared Survey Explorer` \n",
    "\n",
    "or in the command line below.\n",
    "\n",
    "List of available sky maps: https://aladin.u-strasbg.fr/hips/list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bef37a4f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#aladin.survey = \"P/allWISE/color\""
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "2f035030",
   "metadata": {},
   "source": [
    "If you want to overlay the survey instead of replacing it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "fabb218c",
   "metadata": {},
   "outputs": [],
   "source": [
    "aladin.overlay_survey= 'P/allWISE/color'\n",
    "aladin.overlay_survey_opacity = 0.5"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "2395d384",
   "metadata": {},
   "source": [
    "## Step #4: Cross-match tables\n",
    "\n",
    "[![Vizier](https://custom-icon-badges.demolab.com/badge/Vizier-gray.svg?logo=vizier&logoColor=orange&logoWidth=20)](https://vizier.cds.unistra.fr/viz-bin/VizieR \"https://vizier.cds.unistra.fr/viz-bin/VizieR\")\n",
    "[![Xmatch](https://custom-icon-badges.demolab.com/badge/Xmatch-gray.svg?logo=xmatch&logoColor=blue&logoWidth=20)](http://cdsxmatch.u-strasbg.fr/ \"http://cdsxmatch.u-strasbg.fr/\")\n",
    "\n",
    "We have HII data for a sample of interacting galaxies. Since we are also interested in the infrared fluxes we search for the Wide-field Infrared Survey Explorer ([AllWISE](https://wise2.ipac.caltech.edu/docs/release/allwise/)) data release. \n",
    "\n",
    "We want to match the sources in J/MNRAS/451/1307/HIIreg with the AllWISE source catalog that contains 747 million objects!\n",
    "\n",
    "We use the `X-Match` python module for cross-identification of objects. It is particularly efficient and fast with very large catalogs, like AllWISE. All we need are the names of the catalogs, the names of the columns containing the coordinates of the sources, and the desired maximum distance for the match (optionally the area as well, otherwise all-sky is the default)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "dcc40f35",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TableList with 1 tables:\n",
       "\t'0:II/328/allwise' with 28 column(s) and 50 row(s) "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# What is the AllWISE catalogue reference in VizieR?\n",
    "cat_allwise = Vizier.get_catalogs(\"AllWISE\")\n",
    "cat_allwise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "19efa69a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'ID': 'II_328_allwise', 'name': 'II/328/allwise', 'description': '*the AllWISE data release (among 747,634,026 sources) (updated version, 16-Feb-2021)'}\n",
      "<TableColumns names=('AllWISE','RAJ2000','DEJ2000','Im','W1mag','e_W1mag','W2mag','e_W2mag','W3mag','e_W3mag','W4mag','e_W4mag','Jmag','e_Jmag','Hmag','e_Hmag','Kmag','e_Kmag','ccf','ex','var','pmRA','e_pmRA','pmDE','e_pmDE','qph','d2M','_2M')>\n"
     ]
    }
   ],
   "source": [
    "print(cat_allwise[0].meta)\n",
    "print(cat_allwise[0].columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "4fe7ac68",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><i>Table length=1314</i>\n",
       "<table id=\"table140549997992064\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>angDist</th><th>_RAJ2000</th><th>_DEJ2000</th><th>recno</th><th>Seq</th><th>n_Name</th><th>Name</th><th>Nf</th><th>RAJ2000_1</th><th>DEJ2000_1</th><th>logLHa</th><th>R</th><th>logMHII</th><th>rhoHII</th><th>sigma</th><th>alpVir</th><th>EWHa</th><th>logAge</th><th>Simbad</th><th>AllWISE</th><th>RAJ2000_2</th><th>DEJ2000_2</th><th>eeMaj</th><th>eeMin</th><th>eePA</th><th>W1mag</th><th>W2mag</th><th>W3mag</th><th>W4mag</th><th>Jmag</th><th>Hmag</th><th>Kmag</th><th>e_W1mag</th><th>e_W2mag</th><th>e_W3mag</th><th>e_W4mag</th><th>e_Jmag</th><th>e_Hmag</th><th>e_Kmag</th><th>ID</th><th>ccf</th><th>ex</th><th>var</th><th>qph</th><th>pmRA</th><th>e_pmRA</th><th>pmDE</th><th>e_pmDE</th><th>d2M</th></tr></thead>\n",
       "<thead><tr><th>float64</th><th>float64</th><th>float64</th><th>int64</th><th>int64</th><th>str3</th><th>str7</th><th>int64</th><th>str10</th><th>str11</th><th>float64</th><th>int64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>str6</th><th>str19</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>int64</th><th>str4</th><th>int64</th><th>str4</th><th>str4</th><th>int64</th><th>int64</th><th>int64</th><th>int64</th><th>float64</th></tr></thead>\n",
       "<tr><td>9.439952</td><td>250.775</td><td>36.839056</td><td>1820</td><td>27</td><td>iso</td><td>NGC6207</td><td>0</td><td>16 43 06.0</td><td>+36 50 20.6</td><td>37.69</td><td>66</td><td>4.9</td><td>0.06</td><td>4.0</td><td>--</td><td>134.26</td><td>6.78</td><td>Simbad</td><td>J164305.83+365029.8</td><td>250.7743217</td><td>36.8416214</td><td>0.0374</td><td>0.0369</td><td>67.0</td><td>12.87</td><td>12.918</td><td>8.29</td><td>5.588</td><td>--</td><td>--</td><td>--</td><td>0.073</td><td>0.025</td><td>0.022</td><td>0.037</td><td>--</td><td>--</td><td>--</td><td>2499136301351044678</td><td>0000</td><td>3</td><td>3000</td><td>AAAA</td><td>10</td><td>40</td><td>359</td><td>42</td><td>--</td></tr>\n",
       "<tr><td>6.754932</td><td>250.767917</td><td>36.834944</td><td>1821</td><td>28</td><td>iso</td><td>NGC6207</td><td>0</td><td>16 43 04.3</td><td>+36 50 05.8</td><td>37.66</td><td>101</td><td>5.1</td><td>0.031</td><td>4.0</td><td>--</td><td>22.27</td><td>6.91</td><td>Simbad</td><td>J164303.76+365003.8</td><td>250.7656686</td><td>36.8344125</td><td>0.0212</td><td>0.0201</td><td>135.0</td><td>10.792</td><td>11.24</td><td>7.028</td><td>4.232</td><td>12.866</td><td>12.603</td><td>12.523</td><td>0.03</td><td>0.019</td><td>0.013</td><td>0.021</td><td>0.043</td><td>0.056</td><td>0.058</td><td>2499136301351044679</td><td>hd00</td><td>3</td><td>n9n3</td><td>AAAA</td><td>-929</td><td>25</td><td>-1205</td><td>26</td><td>0.458</td></tr>\n",
       "<tr><td>8.575258</td><td>250.767917</td><td>36.834944</td><td>1821</td><td>28</td><td>iso</td><td>NGC6207</td><td>0</td><td>16 43 04.3</td><td>+36 50 05.8</td><td>37.66</td><td>101</td><td>5.1</td><td>0.031</td><td>4.0</td><td>--</td><td>22.27</td><td>6.91</td><td>Simbad</td><td>J164303.79+364959.7</td><td>250.7658199</td><td>36.8332538</td><td>0.0379</td><td>0.0338</td><td>158.6</td><td>10.953</td><td>10.936</td><td>7.758</td><td>5.483</td><td>--</td><td>--</td><td>--</td><td>0.023</td><td>0.022</td><td>0.024</td><td>0.066</td><td>--</td><td>--</td><td>--</td><td>2499136301351044647</td><td>d0d0</td><td>5</td><td>3200</td><td>AAAA</td><td>113</td><td>31</td><td>484</td><td>32</td><td>--</td></tr>\n",
       "<tr><td>5.99581</td><td>250.76375</td><td>36.833083</td><td>1822</td><td>29</td><td>iso</td><td>NGC6207</td><td>0</td><td>16 43 03.3</td><td>+36 49 59.1</td><td>37.66</td><td>87</td><td>5.0</td><td>0.039</td><td>4.0</td><td>--</td><td>20.6</td><td>6.93</td><td>Simbad</td><td>J164303.79+364959.7</td><td>250.7658199</td><td>36.8332538</td><td>0.0379</td><td>0.0338</td><td>158.6</td><td>10.953</td><td>10.936</td><td>7.758</td><td>5.483</td><td>--</td><td>--</td><td>--</td><td>0.023</td><td>0.022</td><td>0.024</td><td>0.066</td><td>--</td><td>--</td><td>--</td><td>2499136301351044647</td><td>d0d0</td><td>5</td><td>3200</td><td>AAAA</td><td>113</td><td>31</td><td>484</td><td>32</td><td>--</td></tr>\n",
       "<tr><td>7.312318</td><td>250.76375</td><td>36.833083</td><td>1822</td><td>29</td><td>iso</td><td>NGC6207</td><td>0</td><td>16 43 03.3</td><td>+36 49 59.1</td><td>37.66</td><td>87</td><td>5.0</td><td>0.039</td><td>4.0</td><td>--</td><td>20.6</td><td>6.93</td><td>Simbad</td><td>J164303.76+365003.8</td><td>250.7656686</td><td>36.8344125</td><td>0.0212</td><td>0.0201</td><td>135.0</td><td>10.792</td><td>11.24</td><td>7.028</td><td>4.232</td><td>12.866</td><td>12.603</td><td>12.523</td><td>0.03</td><td>0.019</td><td>0.013</td><td>0.021</td><td>0.043</td><td>0.056</td><td>0.058</td><td>2499136301351044679</td><td>hd00</td><td>3</td><td>n9n3</td><td>AAAA</td><td>-929</td><td>25</td><td>-1205</td><td>26</td><td>0.458</td></tr>\n",
       "<tr><td>3.802161</td><td>250.766667</td><td>36.832444</td><td>1823</td><td>30</td><td>iso</td><td>NGC6207</td><td>0</td><td>16 43 04.0</td><td>+36 49 56.8</td><td>37.66</td><td>91</td><td>5.1</td><td>0.036</td><td>4.0</td><td>--</td><td>8.9</td><td>7.09</td><td>Simbad</td><td>J164303.79+364959.7</td><td>250.7658199</td><td>36.8332538</td><td>0.0379</td><td>0.0338</td><td>158.6</td><td>10.953</td><td>10.936</td><td>7.758</td><td>5.483</td><td>--</td><td>--</td><td>--</td><td>0.023</td><td>0.022</td><td>0.024</td><td>0.066</td><td>--</td><td>--</td><td>--</td><td>2499136301351044647</td><td>d0d0</td><td>5</td><td>3200</td><td>AAAA</td><td>113</td><td>31</td><td>484</td><td>32</td><td>--</td></tr>\n",
       "<tr><td>7.648264</td><td>250.766667</td><td>36.832444</td><td>1823</td><td>30</td><td>iso</td><td>NGC6207</td><td>0</td><td>16 43 04.0</td><td>+36 49 56.8</td><td>37.66</td><td>91</td><td>5.1</td><td>0.036</td><td>4.0</td><td>--</td><td>8.9</td><td>7.09</td><td>Simbad</td><td>J164303.76+365003.8</td><td>250.7656686</td><td>36.8344125</td><td>0.0212</td><td>0.0201</td><td>135.0</td><td>10.792</td><td>11.24</td><td>7.028</td><td>4.232</td><td>12.866</td><td>12.603</td><td>12.523</td><td>0.03</td><td>0.019</td><td>0.013</td><td>0.021</td><td>0.043</td><td>0.056</td><td>0.058</td><td>2499136301351044679</td><td>hd00</td><td>3</td><td>n9n3</td><td>AAAA</td><td>-929</td><td>25</td><td>-1205</td><td>26</td><td>0.458</td></tr>\n",
       "<tr><td>9.762527</td><td>250.769167</td><td>36.832833</td><td>1825</td><td>34</td><td>iso</td><td>NGC6207</td><td>0</td><td>16 43 04.6</td><td>+36 49 58.2</td><td>37.49</td><td>57</td><td>4.7</td><td>0.06</td><td>4.0</td><td>--</td><td>18.26</td><td>6.98</td><td>Simbad</td><td>J164303.79+364959.7</td><td>250.7658199</td><td>36.8332538</td><td>0.0379</td><td>0.0338</td><td>158.6</td><td>10.953</td><td>10.936</td><td>7.758</td><td>5.483</td><td>--</td><td>--</td><td>--</td><td>0.023</td><td>0.022</td><td>0.024</td><td>0.066</td><td>--</td><td>--</td><td>--</td><td>2499136301351044647</td><td>d0d0</td><td>5</td><td>3200</td><td>AAAA</td><td>113</td><td>31</td><td>484</td><td>32</td><td>--</td></tr>\n",
       "<tr><td>4.218263</td><td>250.775</td><td>36.840583</td><td>1830</td><td>41</td><td>iso</td><td>NGC6207</td><td>0</td><td>16 43 06.0</td><td>+36 50 26.1</td><td>37.26</td><td>33</td><td>4.2</td><td>0.1</td><td>4.0</td><td>--</td><td>255.83</td><td>6.75</td><td>Simbad</td><td>J164305.83+365029.8</td><td>250.7743217</td><td>36.8416214</td><td>0.0374</td><td>0.0369</td><td>67.0</td><td>12.87</td><td>12.918</td><td>8.29</td><td>5.588</td><td>--</td><td>--</td><td>--</td><td>0.073</td><td>0.025</td><td>0.022</td><td>0.037</td><td>--</td><td>--</td><td>--</td><td>2499136301351044678</td><td>0000</td><td>3</td><td>3000</td><td>AAAA</td><td>10</td><td>40</td><td>359</td><td>42</td><td>--</td></tr>\n",
       "<tr><td>0.814803</td><td>40.89875</td><td>1.377222</td><td>1834</td><td>1</td><td>iso</td><td>NGC1073</td><td>0</td><td>02 43 35.7</td><td>+01 22 38.0</td><td>39.22</td><td>124</td><td>6.04</td><td>0.138</td><td>13.4</td><td>23.0</td><td>522.67</td><td>6.59</td><td>Simbad</td><td>J024335.67+012237.2</td><td>40.8986511</td><td>1.3770184</td><td>0.0807</td><td>0.0757</td><td>126.3</td><td>14.868</td><td>14.664</td><td>10.041</td><td>7.24</td><td>--</td><td>--</td><td>--</td><td>0.033</td><td>0.065</td><td>0.066</td><td>0.129</td><td>--</td><td>--</td><td>--</td><td>408101501351028660</td><td>0000</td><td>3</td><td>nnnn</td><td>AAAB</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
       "<tr><td>2.430664</td><td>262.36375</td><td>75.690333</td><td>1792</td><td>78</td><td>iso</td><td>NGC6412</td><td>0</td><td>17 29 27.3</td><td>+75 41 25.2</td><td>37.3</td><td>80</td><td>4.8</td><td>0.03</td><td>4.0</td><td>--</td><td>1.43</td><td>7.25</td><td>Simbad</td><td>J172927.37+754122.7</td><td>262.3640507</td><td>75.6896619</td><td>0.0403</td><td>0.0374</td><td>77.5</td><td>12.05</td><td>12.097</td><td>12.917</td><td>9.369</td><td>12.52</td><td>12.177</td><td>12.107</td><td>0.023</td><td>0.021</td><td>--</td><td>--</td><td>0.022</td><td>0.019</td><td>0.025</td><td>2613175701351028212</td><td>0000</td><td>2</td><td>11nn</td><td>AAUU</td><td>-48</td><td>34</td><td>26</td><td>34</td><td>0.157</td></tr>\n",
       "<tr><td>6.198088</td><td>262.36375</td><td>75.690333</td><td>1792</td><td>78</td><td>iso</td><td>NGC6412</td><td>0</td><td>17 29 27.3</td><td>+75 41 25.2</td><td>37.3</td><td>80</td><td>4.8</td><td>0.03</td><td>4.0</td><td>--</td><td>1.43</td><td>7.25</td><td>Simbad</td><td>J172925.67+754123.7</td><td>262.3569903</td><td>75.6899173</td><td>0.3268</td><td>0.1897</td><td>101.4</td><td>16.104</td><td>16.518</td><td>12.619</td><td>9.184</td><td>--</td><td>--</td><td>--</td><td>0.126</td><td>0.248</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>2613175701351029820</td><td>0000</td><td>2</td><td>3nnn</td><td>BBUU</td><td>-253</td><td>460</td><td>362</td><td>559</td><td>--</td></tr>\n",
       "<tr><td>2.619531</td><td>262.364167</td><td>75.690389</td><td>1794</td><td>80</td><td>iso</td><td>NGC6412</td><td>0</td><td>17 29 27.4</td><td>+75 41 25.4</td><td>36.9</td><td>60</td><td>4.4</td><td>0.03</td><td>4.0</td><td>--</td><td>3.33</td><td>7.12</td><td>Simbad</td><td>J172927.37+754122.7</td><td>262.3640507</td><td>75.6896619</td><td>0.0403</td><td>0.0374</td><td>77.5</td><td>12.05</td><td>12.097</td><td>12.917</td><td>9.369</td><td>12.52</td><td>12.177</td><td>12.107</td><td>0.023</td><td>0.021</td><td>--</td><td>--</td><td>0.022</td><td>0.019</td><td>0.025</td><td>2613175701351028212</td><td>0000</td><td>2</td><td>11nn</td><td>AAUU</td><td>-48</td><td>34</td><td>26</td><td>34</td><td>0.157</td></tr>\n",
       "<tr><td>6.607669</td><td>262.364167</td><td>75.690389</td><td>1794</td><td>80</td><td>iso</td><td>NGC6412</td><td>0</td><td>17 29 27.4</td><td>+75 41 25.4</td><td>36.9</td><td>60</td><td>4.4</td><td>0.03</td><td>4.0</td><td>--</td><td>3.33</td><td>7.12</td><td>Simbad</td><td>J172925.67+754123.7</td><td>262.3569903</td><td>75.6899173</td><td>0.3268</td><td>0.1897</td><td>101.4</td><td>16.104</td><td>16.518</td><td>12.619</td><td>9.184</td><td>--</td><td>--</td><td>--</td><td>0.126</td><td>0.248</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>2613175701351029820</td><td>0000</td><td>2</td><td>3nnn</td><td>BBUU</td><td>-253</td><td>460</td><td>362</td><td>559</td><td>--</td></tr>\n",
       "<tr><td>5.639364</td><td>250.76375</td><td>36.834722</td><td>1795</td><td>1</td><td>iso</td><td>NGC6207</td><td>0</td><td>16 43 03.3</td><td>+36 50 05.0</td><td>39.51</td><td>154</td><td>6.33</td><td>0.14</td><td>18.0</td><td>27.0</td><td>68.4</td><td>6.8</td><td>Simbad</td><td>J164303.76+365003.8</td><td>250.7656686</td><td>36.8344125</td><td>0.0212</td><td>0.0201</td><td>135.0</td><td>10.792</td><td>11.24</td><td>7.028</td><td>4.232</td><td>12.866</td><td>12.603</td><td>12.523</td><td>0.03</td><td>0.019</td><td>0.013</td><td>0.021</td><td>0.043</td><td>0.056</td><td>0.058</td><td>2499136301351044679</td><td>hd00</td><td>3</td><td>n9n3</td><td>AAAA</td><td>-929</td><td>25</td><td>-1205</td><td>26</td><td>0.458</td></tr>\n",
       "<tr><td>7.969164</td><td>250.76375</td><td>36.834722</td><td>1795</td><td>1</td><td>iso</td><td>NGC6207</td><td>0</td><td>16 43 03.3</td><td>+36 50 05.0</td><td>39.51</td><td>154</td><td>6.33</td><td>0.14</td><td>18.0</td><td>27.0</td><td>68.4</td><td>6.8</td><td>Simbad</td><td>J164303.79+364959.7</td><td>250.7658199</td><td>36.8332538</td><td>0.0379</td><td>0.0338</td><td>158.6</td><td>10.953</td><td>10.936</td><td>7.758</td><td>5.483</td><td>--</td><td>--</td><td>--</td><td>0.023</td><td>0.022</td><td>0.024</td><td>0.066</td><td>--</td><td>--</td><td>--</td><td>2499136301351044647</td><td>d0d0</td><td>5</td><td>3200</td><td>AAAA</td><td>113</td><td>31</td><td>484</td><td>32</td><td>--</td></tr>\n",
       "<tr><td>7.499991</td><td>250.764583</td><td>36.836306</td><td>1796</td><td>2</td><td>iso</td><td>NGC6207</td><td>0</td><td>16 43 03.5</td><td>+36 50 10.7</td><td>39.36</td><td>131</td><td>6.15</td><td>0.148</td><td>13.9</td><td>21.0</td><td>138.94</td><td>6.78</td><td>Simbad</td><td>J164303.76+365003.8</td><td>250.7656686</td><td>36.8344125</td><td>0.0212</td><td>0.0201</td><td>135.0</td><td>10.792</td><td>11.24</td><td>7.028</td><td>4.232</td><td>12.866</td><td>12.603</td><td>12.523</td><td>0.03</td><td>0.019</td><td>0.013</td><td>0.021</td><td>0.043</td><td>0.056</td><td>0.058</td><td>2499136301351044679</td><td>hd00</td><td>3</td><td>n9n3</td><td>AAAA</td><td>-929</td><td>25</td><td>-1205</td><td>26</td><td>0.458</td></tr>\n",
       "<tr><td>3.3028</td><td>250.775</td><td>36.842361</td><td>1797</td><td>3</td><td>iso</td><td>NGC6207</td><td>0</td><td>16 43 06.0</td><td>+36 50 32.5</td><td>38.88</td><td>138</td><td>5.94</td><td>0.079</td><td>6.0</td><td>7.0</td><td>264.23</td><td>6.75</td><td>Simbad</td><td>J164305.83+365029.8</td><td>250.7743217</td><td>36.8416214</td><td>0.0374</td><td>0.0369</td><td>67.0</td><td>12.87</td><td>12.918</td><td>8.29</td><td>5.588</td><td>--</td><td>--</td><td>--</td><td>0.073</td><td>0.025</td><td>0.022</td><td>0.037</td><td>--</td><td>--</td><td>--</td><td>2499136301351044678</td><td>0000</td><td>3</td><td>3000</td><td>AAAA</td><td>10</td><td>40</td><td>359</td><td>42</td><td>--</td></tr>\n",
       "<tr><td>2.552215</td><td>250.774583</td><td>36.840944</td><td>1806</td><td>12</td><td>iso</td><td>NGC6207</td><td>0</td><td>16 43 05.9</td><td>+36 50 27.4</td><td>38.26</td><td>72</td><td>5.2</td><td>0.1</td><td>4.0</td><td>--</td><td>264.14</td><td>6.75</td><td>Simbad</td><td>J164305.83+365029.8</td><td>250.7743217</td><td>36.8416214</td><td>0.0374</td><td>0.0369</td><td>67.0</td><td>12.87</td><td>12.918</td><td>8.29</td><td>5.588</td><td>--</td><td>--</td><td>--</td><td>0.073</td><td>0.025</td><td>0.022</td><td>0.037</td><td>--</td><td>--</td><td>--</td><td>2499136301351044678</td><td>0000</td><td>3</td><td>3000</td><td>AAAA</td><td>10</td><td>40</td><td>359</td><td>42</td><td>--</td></tr>\n",
       "<tr><td>7.317245</td><td>250.764583</td><td>36.83625</td><td>1817</td><td>24</td><td>iso</td><td>NGC6207</td><td>0</td><td>16 43 03.5</td><td>+36 50 10.5</td><td>37.73</td><td>72</td><td>4.9</td><td>0.056</td><td>4.0</td><td>--</td><td>200.19</td><td>6.76</td><td>Simbad</td><td>J164303.76+365003.8</td><td>250.7656686</td><td>36.8344125</td><td>0.0212</td><td>0.0201</td><td>135.0</td><td>10.792</td><td>11.24</td><td>7.028</td><td>4.232</td><td>12.866</td><td>12.603</td><td>12.523</td><td>0.03</td><td>0.019</td><td>0.013</td><td>0.021</td><td>0.043</td><td>0.056</td><td>0.058</td><td>2499136301351044679</td><td>hd00</td><td>3</td><td>n9n3</td><td>AAAA</td><td>-929</td><td>25</td><td>-1205</td><td>26</td><td>0.458</td></tr>\n",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=1314>\n",
       "angDist   _RAJ2000   _DEJ2000 recno  Seq  ...  pmRA e_pmRA  pmDE e_pmDE   d2M  \n",
       "float64   float64    float64  int64 int64 ... int64 int64  int64 int64  float64\n",
       "-------- ---------- --------- ----- ----- ... ----- ------ ----- ------ -------\n",
       "9.439952    250.775 36.839056  1820    27 ...    10     40   359     42      --\n",
       "6.754932 250.767917 36.834944  1821    28 ...  -929     25 -1205     26   0.458\n",
       "8.575258 250.767917 36.834944  1821    28 ...   113     31   484     32      --\n",
       " 5.99581  250.76375 36.833083  1822    29 ...   113     31   484     32      --\n",
       "7.312318  250.76375 36.833083  1822    29 ...  -929     25 -1205     26   0.458\n",
       "3.802161 250.766667 36.832444  1823    30 ...   113     31   484     32      --\n",
       "7.648264 250.766667 36.832444  1823    30 ...  -929     25 -1205     26   0.458\n",
       "9.762527 250.769167 36.832833  1825    34 ...   113     31   484     32      --\n",
       "4.218263    250.775 36.840583  1830    41 ...    10     40   359     42      --\n",
       "0.814803   40.89875  1.377222  1834     1 ...    --     --    --     --      --\n",
       "     ...        ...       ...   ...   ... ...   ...    ...   ...    ...     ...\n",
       "2.430664  262.36375 75.690333  1792    78 ...   -48     34    26     34   0.157\n",
       "6.198088  262.36375 75.690333  1792    78 ...  -253    460   362    559      --\n",
       "2.619531 262.364167 75.690389  1794    80 ...   -48     34    26     34   0.157\n",
       "6.607669 262.364167 75.690389  1794    80 ...  -253    460   362    559      --\n",
       "5.639364  250.76375 36.834722  1795     1 ...  -929     25 -1205     26   0.458\n",
       "7.969164  250.76375 36.834722  1795     1 ...   113     31   484     32      --\n",
       "7.499991 250.764583 36.836306  1796     2 ...  -929     25 -1205     26   0.458\n",
       "  3.3028    250.775 36.842361  1797     3 ...    10     40   359     42      --\n",
       "2.552215 250.774583 36.840944  1806    12 ...    10     40   359     42      --\n",
       "7.317245 250.764583  36.83625  1817    24 ...  -929     25 -1205     26   0.458"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xmatch_zbf_wise = XMatch.query(\n",
    "    cat1=\"vizier:J/MNRAS/451/1307/HIIreg\",\n",
    "    cat2=\"vizier:II/328/allwise\",\n",
    "    max_distance=10 * u.arcsec,\n",
    "    colRA1=\"RAJ2000\",\n",
    "    colDec1=\"DEJ2000\",\n",
    "    colRA2=\"RAJ2000\",\n",
    "    colDec2=\"DEJ2000\",\n",
    ")\n",
    "xmatch_zbf_wise"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "b56000f6",
   "metadata": {},
   "source": [
    "## Step #5: Filter a table by MOCs\n",
    "\n",
    "The Multi-Order Coverage map is an IVOA standard to describe arbitrary sky regions, based on HEALPix sky tessellation. \n",
    "\n",
    "MOCs can be retrieved from the CDS MOC Server and its python interface `astroquery.cds` as `mocpy.MOC` typed objects. The `MOCpy` library has functions to work with them: e.g. compute intersections/unions/differences, serialize to FITS/JSON, save to fits files, filter a table.\n",
    "\n",
    "We can use MOCs to find out whether any of these galaxies have been observed by Herschel (PACS, SPIRE)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "4e01fd14",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                    ID                   \n",
      "-----------------------------------------\n",
      "CDS/P/Quest-for-the-Missing-Dust/SPIRE250\n",
      "CDS/P/Quest-for-the-Missing-Dust/SPIRE350\n",
      "CDS/P/Quest-for-the-Missing-Dust/SPIRE500\n",
      "               ESAVO/P/HERSCHEL/SPIRE-250\n",
      "               ESAVO/P/HERSCHEL/SPIRE-350\n",
      "               ESAVO/P/HERSCHEL/SPIRE-500\n",
      "             ESAVO/P/HERSCHEL/SPIRE-color\n",
      "                ESAVO/P/HERSCHEL/SPIRE250\n",
      "            ESAVO/P/HERSCHEL/SPIRE250norm\n",
      "                ESAVO/P/HERSCHEL/SPIRE350\n",
      "            ESAVO/P/HERSCHEL/SPIRE350norm\n",
      "                ESAVO/P/HERSCHEL/SPIRE500\n",
      "            ESAVO/P/HERSCHEL/SPIRE500norm\n",
      "           ESAVO/P/HERSCHEL/SPIRE_RGBnorm\n",
      "                   ID                   \n",
      "----------------------------------------\n",
      "CDS/P/Quest-for-the-Missing-Dust/PACS100\n",
      "CDS/P/Quest-for-the-Missing-Dust/PACS160\n",
      "             ESAVO/P/HERSCHEL/PACS-color\n",
      "                ESAVO/P/HERSCHEL/PACS100\n",
      "            ESAVO/P/HERSCHEL/PACS100norm\n",
      "                ESAVO/P/HERSCHEL/PACS160\n",
      "            ESAVO/P/HERSCHEL/PACS160norm\n",
      "                 ESAVO/P/HERSCHEL/PACS70\n",
      "             ESAVO/P/HERSCHEL/PACS70norm\n",
      "          ESAVO/P/HERSCHEL/PACS_RGB_norm\n"
     ]
    }
   ],
   "source": [
    "print(cds.find_datasets(meta_data=\"ID=*SPIRE*\")[[\"ID\"]])\n",
    "\n",
    "print(cds.find_datasets(meta_data=\"ID=*PACS*\")[[\"ID\"]])"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "c86191de",
   "metadata": {},
   "source": [
    "Now that we know what the relevant data sets are called, we can move on to download the corresponding MOCs and calculate the intersection of these two MOCs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "2ad96df5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.08053843180338544"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "moc_spire = cds.find_datasets(meta_data=\"ID=ESAVO/P/HERSCHEL/SPIRE-color\", return_moc=True)\n",
    "moc_pacs = cds.find_datasets(meta_data=\"ID=ESAVO/P/HERSCHEL/PACS-color\", return_moc=True)\n",
    "\n",
    "# to load a MOC from FITS files:\n",
    "# moc = mocpy.MOC.from_fits(\"filename.fits\")\n",
    "\n",
    "moc_intersection = moc_spire.intersection(moc_pacs)\n",
    "moc_intersection.sky_fraction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "e1212760",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add the MOC in the Aladin view \n",
    "\n",
    "aladin.add_moc_from_dict(\n",
    "    moc_intersection.serialize(format=\"json\"),\n",
    "    {\"color\": \"yellow\", \"opacity\": 0.45},\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "f97531fe",
   "metadata": {},
   "source": [
    "Now we can use this MOC to filter our table of interacting galaxies with HII data, in order to select the sources that lie into the MOCs' intersection."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "21b8b477",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Among the selected 249 HII regions in [ZBF2015], 231 are observed by Herschel with both PACS and SPIRE\n"
     ]
    }
   ],
   "source": [
    "coords = SkyCoord(\n",
    "    ra=cat_hii[\"RAJ2000\"],\n",
    "    dec=cat_hii[\"DEJ2000\"],\n",
    "    unit=(u.hourangle, u.deg),\n",
    ")\n",
    "mask = moc_intersection.contains_skycoords(coords)\n",
    "\n",
    "aladin.add_table(cat_hii[mask])\n",
    "\n",
    "print(\n",
    "    f\"Among the selected {len(cat_hii)} HII regions in [ZBF2015], {len(cat_hii[mask])} are observed by Herschel with both PACS and SPIRE\",\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "7dbba152",
   "metadata": {},
   "source": [
    "More on MOCPy:\n",
    "\n",
    "Documentation: https://cds-astro.github.io/mocpy/\n",
    "\n",
    "Notebook tutorials: https://github.com/cds-astro/mocpy/tree/master/notebooks"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "000d87df",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "5d15b303",
   "metadata": {},
   "source": []
  }
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