Notebooks/6_Advanced_usage_of_MOCs.ipynb

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    "# Advanced usage of MOCs to explore complex regions of interest\n",
    "\n",
    "Stefania Amodea¹, Matthieu Baumann¹, Thomas Boch¹, Caroline Bot¹, Katarina A. Lutz¹.\n",
    "\n",
    "1. Université de Strasbourg, CNRS, Observatoire Astronomique de Strasbourg, UMR 7550, F-67000, Strasbourg, France\n",
    "\n",
    "Thomas Boch and Caroline Bot wrote the original version of this tutorial, available on the [EURO-VO tutorials page](http://www.euro-vo.org/?q=science/scientific-tutorials). It was presented at the workshop \"[Detecting the unexpected, Discovery in the Era of Astronomically Big Data](https://www.lsstcorporation.org/node/107)\". The version here is an adaptation to jupyter notebooks by the Strasbourg astronomical Data Center ([CDS](https://cdsweb.u-strasbg.fr/)) team.\n",
    "\n",
    "*** \n",
    "\n",
    "## Introduction\n",
    "\n",
    "I have a set of images. I would like to select regions in my observations that are above a given threshold in another survey (e.g. at low extinction), retrieve objects from very large catalogs (e.g. Gaia + 2MASS) in these non-trivial shapes and not-necessarily-connected regions, and combine them to visualize some quantities (e.g. color color diagram)."
   ]
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   "source": [
    "# Standard Library\n",
    "from pathlib import Path\n",
    "\n",
    "# Astronomy tools\n",
    "import astropy.units as u\n",
    "from astropy.coordinates import Angle, SkyCoord, match_coordinates_sky\n",
    "from astropy.io import fits\n",
    "\n",
    "# Access astronomical databases\n",
    "import pyvo\n",
    "from astroquery.vizier import Vizier\n",
    "\n",
    "# Moc and HEALPix tools\n",
    "import cdshealpix\n",
    "import mocpy\n",
    "\n",
    "# For plots\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Data handling\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 1: Finding the images\n",
    "\n",
    "We want to find all Short-Red images in the Macquarie/AAO/Strasbourg Hα Planetary Galactic catalog ([MASH](https://vizier.cfa.harvard.edu/vizier/MASH/index.htx)) using the VizieR associated data service.\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",
    "\n",
    "The [VizieR](https://vizier.cds.unistra.fr/) service at CDS inventories astronomical catalogs published in the literature. Some of these catalogs contain data associated with publications and the tables therein. This data can be browsed and explored through the VizieR-associated data service, linked to the traditional VizieR table service. Here we look for images associated with the MASH catalog of planetary nebulae ([Parker *et. al.* 2006-2008](https://ui.adsabs.harvard.edu/abs/2006yCat.5127....0P/abstract)). The MASH fits files are cut-outs extracted from a larger Hα and Short Red survey to constitute a set of regions of interest around planetary nebulae. \n",
    "\n",
    "To find VizieR-associated data, we use the Table Access Protocol (TAP) with the VizieR endpoint. Through the VizieR TAP endpoint, we can search for tables, their content, and information on associated data. \n",
    "\n",
    "First, we search for the MASH catalog:"
   ]
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     "data": {
      "text/html": [
       "<div><i>Table length=5</i>\n",
       "<table id=\"table140367160272128\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>schema_name</th><th>table_name</th><th>table_type</th><th>description</th><th>utype</th><th>nrows</th></tr></thead>\n",
       "<thead><tr><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th></tr></thead>\n",
       "<tr><td>J_MNRAS</td><td>J/MNRAS/412/223/table4</td><td>table</td><td>The nine MASH PNe detected and possibly detected in the PMN survey ( Bojicic I.S., Parker Q.A., Filipovic M.D., Frew D.J.)</td><td></td><td>9</td></tr>\n",
       "<tr><td>J_MNRAS</td><td>J/MNRAS/412/223/table1</td><td>table</td><td>MASH PNe detected in the NVSS ( Bojicic I.S., Parker Q.A., Filipovic M.D., Frew D.J.)</td><td></td><td>201</td></tr>\n",
       "<tr><td>V_combined</td><td>V/127A/mash2</td><td>table</td><td>The MASH-II Supplement (from paper II) ( Parker Q.A., Acker A., Frew D.J., Hartley M., Peyaud A.E.J., Phillipps S., Russeil D., Beaulieu S.F., Cohen M., Koppen J., Marcout J., Miszalski B., Morgan D.H., Morris R.A.H., Ochsenbein F., Pierce M.J.,)</td><td></td><td>335</td></tr>\n",
       "<tr><td>V_combined</td><td>V/127A/mash1</td><td>table</td><td>The MASH Catalog of Planetary Nebulae (paper I) ( Parker Q.A., Acker A., Frew D.J., Hartley M., Peyaud A.E.J., Phillipps S., Russeil D., Beaulieu S.F., Cohen M., Koppen J., Marcout J., Miszalski B., Morgan D.H., Morris R.A.H., Ochsenbein F., Pierce M.J.,)</td><td></td><td>903</td></tr>\n",
       "<tr><td>J_MNRAS</td><td>J/MNRAS/412/223/mpgs2</td><td>table</td><td>MASH PNe detected in the MPGS-2 (Cat. VIII/82) ( Bojicic I.S., Parker Q.A., Filipovic M.D., Frew D.J.)</td><td></td><td>81</td></tr>\n",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=5>\n",
       "schema_name       table_name       table_type ... utype  nrows \n",
       "   object           object           object   ... object object\n",
       "----------- ---------------------- ---------- ... ------ ------\n",
       "    J_MNRAS J/MNRAS/412/223/table4      table ...             9\n",
       "    J_MNRAS J/MNRAS/412/223/table1      table ...           201\n",
       " V_combined           V/127A/mash2      table ...           335\n",
       " V_combined           V/127A/mash1      table ...           903\n",
       "    J_MNRAS  J/MNRAS/412/223/mpgs2      table ...            81"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# give the address of the service, you can also directly visit the website\n",
    "tap_vizier = pyvo.dal.TAPService(\"https://tapvizier.cds.unistra.fr/TAPVizieR/tap\")\n",
    "\n",
    "# a query that searches for all tables with the words MASH and Parker in their description\n",
    "query = \"\"\"\n",
    "        SELECT  *  FROM tables \n",
    "        WHERE description LIKE '%MASH%Parker%'\n",
    "        \"\"\"\n",
    "\n",
    "mash_catalogues = tap_vizier.search(query).to_table()\n",
    "mash_catalogues"
   ]
  },
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   "source": [
    "In this tutorial, we are interested in the tables belonging to the catalogs `V/127A`. This includes tables `V/127A/mash1` and `V/127A/mash2`. To have a look at the content of these tables, we look at their first lines like this:"
   ]
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      "text/html": [
       "<div><i>Table length=5</i>\n",
       "<table id=\"table140367160276160\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>recno</th><th>n_PNG</th><th>PNG</th><th>Name</th><th>RAJ2000</th><th>DEJ2000</th><th>GLon</th><th>GLat</th><th>MajDiam</th><th>MinDiam</th><th>CS</th><th>Morph</th><th>Tel</th><th>ObsDate</th><th>HaExp</th><th>HaFld</th><th>Comments</th><th>img</th><th>ImageHa</th><th>ImageSr</th><th>AssocData</th></tr></thead>\n",
       "<thead><tr><th></th><th></th><th></th><th></th><th>deg</th><th>deg</th><th>deg</th><th>deg</th><th>arcsec</th><th>arcsec</th><th></th><th></th><th></th><th>&apos;Y:M:D&apos;</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
       "<thead><tr><th>int32</th><th>str1</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>float64</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th></tr></thead>\n",
       "<tr><td>29</td><td>L</td><td>G234.7-02.2</td><td>PHR0724-2021</td><td>111.05458333333331</td><td>-20.36361111111111</td><td>234.7045</td><td>-2.2774</td><td>134.5</td><td>54.0</td><td></td><td>A</td><td>SA</td><td>2452672.0</td><td>HA18201</td><td>HA842</td><td>Large, very faint diffuse arcuate nebula; has [NII]~2xH-alpha, nothing in blue</td><td>1029</td><td>img_ha</td><td>img_sr</td><td>fits</td></tr>\n",
       "<tr><td>2</td><td>P</td><td>G227.3-12.0</td><td>PHR0633-1808</td><td>98.35374999999999</td><td>-18.13972222222222</td><td>227.3207</td><td>-12.0289</td><td>17.0</td><td>15.0</td><td></td><td>Ea</td><td>SA</td><td>2452672.0</td><td>HA18191</td><td>HA926</td><td>Very faint, partial arcuate nebula also observed M1 060100; [NII]~0.8xH-alpha, strong [SII], only weak H-beta in blue - inconclusive</td><td>1002</td><td>img_ha</td><td>img_sr</td><td>fits</td></tr>\n",
       "<tr><td>16</td><td>T</td><td>G227.2-03.4</td><td>PHR0705-1419</td><td>106.41041666666665</td><td>-14.318055555555553</td><td>227.2852</td><td>-3.4029</td><td>15.0</td><td>15.0</td><td></td><td>E</td><td>SA</td><td>2452668.0</td><td>HA18244</td><td>HA1017</td><td>Small, circular PN around a faint central star; also observed M1 040100; [NII]~0.7 H-alpha, [OIII]&gt;&gt;H-beta</td><td>1016</td><td>img_ha</td><td>img_sr</td><td>fits</td></tr>\n",
       "<tr><td>5</td><td>L</td><td>G223.6-06.8</td><td>PHR0646-1235</td><td>101.60583333333332</td><td>-12.598888888888887</td><td>223.6338</td><td>-6.8035</td><td>40.0</td><td>37.0</td><td></td><td>E</td><td>SA</td><td>2453788.0</td><td>HA18194</td><td>HA1016</td><td>Slightly oval very faint PN candidate - has [OIII] and H-alpha</td><td>1005</td><td>img_ha</td><td>img_sr</td><td>fits</td></tr>\n",
       "<tr><td>10</td><td>P</td><td>G224.3-05.5</td><td>PHR0652-1240</td><td>103.08458333333331</td><td>-12.67611111111111</td><td>224.3504</td><td>-5.5463</td><td>187.0</td><td>180.0</td><td></td><td>I</td><td>SA</td><td>2452670.0</td><td>HA18244</td><td>HA1017</td><td>Faint, extended S-shaped emission nebula, possible evolved PN, also observed M1 080100; has [NII]~0.8Ha, [OIII], strong [SII], [OIII]&gt;H-beta</td><td>1010</td><td>img_ha</td><td>img_sr</td><td>fits</td></tr>\n",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=5>\n",
       "recno n_PNG     PNG         Name     ...  img   ImageHa ImageSr AssocData\n",
       "                                     ...                                 \n",
       "int32  str1    object      object    ... object  object  object   object \n",
       "----- ----- ----------- ------------ ... ------ ------- ------- ---------\n",
       "   29     L G234.7-02.2 PHR0724-2021 ...   1029  img_ha  img_sr      fits\n",
       "    2     P G227.3-12.0 PHR0633-1808 ...   1002  img_ha  img_sr      fits\n",
       "   16     T G227.2-03.4 PHR0705-1419 ...   1016  img_ha  img_sr      fits\n",
       "    5     L G223.6-06.8 PHR0646-1235 ...   1005  img_ha  img_sr      fits\n",
       "   10     P G224.3-05.5 PHR0652-1240 ...   1010  img_ha  img_sr      fits"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = \"\"\"\n",
    "        SELECT TOP 5 * FROM \\\"V/127A/mash1\\\" \n",
    "        \"\"\"\n",
    "mash1_head = tap_vizier.search(query).to_table()\n",
    "mash1_head"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see, the last column of this table is called `AssocData` and contains the entry `fits`. If you look at this table on the VizieR web interface, you can download the associated fits file. Within this notebook, we query the `obscore` database to get the URLs to the fits file. Using the `astropy.io.fits` module, we can open the fits files from their URLs."
   ]
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   "cell_type": "code",
   "execution_count": 4,
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      "text/html": [
       "<div><i>Table length=5</i>\n",
       "<table id=\"table140367638024720\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>access_estsize</th><th>access_format</th><th>access_url</th><th>bib_reference</th><th>calib_level</th><th>dataproduct_type</th><th>em_band</th><th>em_max</th><th>em_min</th><th>extension</th><th>facility_name</th><th>has_wcs</th><th>instrument_name</th><th>obs_collection</th><th>obs_id</th><th>obs_publisher_did</th><th>oidsaada</th><th>o_ucd</th><th>pol_states</th><th>s_dec</th><th>s_fov</th><th>s_ra</th><th>s_region</th><th>s_resolution</th><th>target_name</th><th>t_exptime</th><th>t_max</th><th>t_min</th><th>t_resolution</th></tr></thead>\n",
       "<thead><tr><th>kbyte</th><th></th><th></th><th></th><th></th><th></th><th>spect</th><th></th><th></th><th>meta.code</th><th></th><th>meta.code</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>deg</th><th>deg</th><th>deg</th><th></th><th>arcsec</th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
       "<thead><tr><th>int64</th><th>object</th><th>object</th><th>object</th><th>int32</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>int32</th><th>object</th><th>int32</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>object</th><th>float64</th><th>object</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th></tr></thead>\n",
       "<tr><td>610</td><td>application/fits</td><td>https://cdsarc.cds.unistra.fr/saadavizier/download?oid=864975549779410945</td><td>2006MNRAS.373...79P</td><td>-1</td><td>image</td><td>Optical</td><td>1e-06</td><td>3e-07</td><td>--</td><td>UKST</td><td>5</td><td>SuperCOSMOS I</td><td>V/127A</td><td>1032_sr.fits</td><td>ivo://CDS.VizieR/V/127A?res=1032_sr.fits</td><td>864975549779410945</td><td>obs.image</td><td>NotSet</td><td>-13.784389854801203</td><td>0.0713021682865721</td><td>111.43275777455307</td><td>Polygon ICRS  111.46664940645094 -13.81781914701963  111.39832407190251 -13.817324215795937  111.3988758446347 -13.750955924906409  111.46718176614709 -13.751450706358609</td><td>0.948991575097523</td><td></td><td>--</td><td>--</td><td>51226.0</td><td>--</td></tr>\n",
       "<tr><td>714</td><td>application/fits</td><td>https://cdsarc.cds.unistra.fr/saadavizier/download?oid=864975549779410946</td><td>2006MNRAS.373...79P</td><td>-1</td><td>image</td><td>Optical</td><td>1e-06</td><td>3e-07</td><td>--</td><td>UKST</td><td>5</td><td>SuperCOSMOS I</td><td>V/127A</td><td>1002_ha.fits</td><td>ivo://CDS.VizieR/V/127A?res=1002_ha.fits</td><td>864975549779410946</td><td>obs.image</td><td>NotSet</td><td>-18.139618250252592</td><td>0.06807629850604295</td><td>98.3536194209876</td><td>Polygon ICRS  98.3879823237976 -18.17328539691655  98.31817068063498 -18.172295336426327  98.31926974725019 -18.105945008699248  98.38905491554986 -18.106934677663524</td><td>0.9487309062128839</td><td></td><td>--</td><td>--</td><td>51158.0</td><td>--</td></tr>\n",
       "<tr><td>754</td><td>application/fits</td><td>https://cdsarc.cds.unistra.fr/saadavizier/download?oid=864975549779410947</td><td>2006MNRAS.373...79P</td><td>-1</td><td>image</td><td>Optical</td><td>1e-06</td><td>3e-07</td><td>--</td><td>UKST</td><td>5</td><td>SuperCOSMOS I</td><td>V/127A</td><td>1033_ha.fits</td><td>ivo://CDS.VizieR/V/127A?res=1033_ha.fits</td><td>864975549779410947</td><td>obs.image</td><td>NotSet</td><td>-28.97290230510999</td><td>0.07273587908530431</td><td>111.5198237403422</td><td>Polygon ICRS  111.55713579830989 -29.006593110324985  111.48129478490598 -29.005543503560524  111.48253597444139 -28.939201209841514  111.5583283925454 -28.94025013401036</td><td>0.9486651876518051</td><td></td><td>--</td><td>--</td><td>50867.0</td><td>--</td></tr>\n",
       "<tr><td>581</td><td>application/fits</td><td>https://cdsarc.cds.unistra.fr/saadavizier/download?oid=864975549779410948</td><td>2006MNRAS.373...79P</td><td>-1</td><td>image</td><td>Optical</td><td>1e-06</td><td>3e-07</td><td>--</td><td>UKST</td><td>5</td><td>SuperCOSMOS I</td><td>V/127A</td><td>1002_sr.fits</td><td>ivo://CDS.VizieR/V/127A?res=1002_sr.fits</td><td>864975549779410948</td><td>obs.image</td><td>NotSet</td><td>-18.13962593857754</td><td>0.06807301936327177</td><td>98.35359006999442</td><td>Polygon ICRS  98.38795041597254 -18.17329148584167  98.31813924430983 -18.172303630142665  98.31924295149577 -18.105954297342016  98.38902764888365 -18.106941759807857</td><td>0.9487205770226425</td><td></td><td>--</td><td>--</td><td>51160.0</td><td>--</td></tr>\n",
       "<tr><td>607</td><td>application/fits</td><td>https://cdsarc.cds.unistra.fr/saadavizier/download?oid=864975549779410949</td><td>2006MNRAS.373...79P</td><td>-1</td><td>image</td><td>Optical</td><td>1e-06</td><td>3e-07</td><td>--</td><td>UKST</td><td>5</td><td>SuperCOSMOS I</td><td>V/127A</td><td>1033_sr.fits</td><td>ivo://CDS.VizieR/V/127A?res=1033_sr.fits</td><td>864975549779410949</td><td>obs.image</td><td>NotSet</td><td>-28.97292411093542</td><td>0.07273534143391176</td><td>111.51984609001715</td><td>Polygon ICRS  111.55715777828372 -29.00661467563269  111.48131691638382 -29.005565388666998  111.48255869339395 -28.93922325635545  111.55835096020016 -28.940271860424208</td><td>0.9486629846629874</td><td></td><td>--</td><td>--</td><td>50879.0</td><td>--</td></tr>\n",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=5>\n",
       "access_estsize  access_format   ...  t_min  t_resolution\n",
       "    kbyte                       ...                     \n",
       "    int64           object      ... float64   float64   \n",
       "-------------- ---------------- ... ------- ------------\n",
       "           610 application/fits ... 51226.0           --\n",
       "           714 application/fits ... 51158.0           --\n",
       "           754 application/fits ... 50867.0           --\n",
       "           581 application/fits ... 51160.0           --\n",
       "           607 application/fits ... 50879.0           --"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obs_tap_vizier = pyvo.dal.TAPService(\n",
    "    \"https://cdsarc.cds.unistra.fr/saadavizier.tap/tap\",\n",
    ")\n",
    "query = \"\"\"\n",
    "        SELECT TOP 5  *  FROM obscore \n",
    "        WHERE obs_collection='V/127A'   \n",
    "        \"\"\"\n",
    "mash_fits = obs_tap_vizier.search(query).to_table()\n",
    "mash_fits"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see, the result from this query provides information on the fits files associated with the MASH catalogs. In particular, the column `access_url` provides the location of the data. To get the first image we can do:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# download the first image\n",
    "hdul_list = fits.open(mash_fits[\"access_url\"][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fa9c674f190>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot it in a quick preview\n",
    "plt.imshow(hdul_list[0].data, cmap=\"gray\", origin=\"lower\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This should be done for every image in the list. However, downloading all the data takes quite some time. For this tutorial, **we prepared a subsample of 335 of these Short Red images that will run promptly** but we encourage you to try accessing the full Short Red sample on your own later. The subsample is available in the Data Folder of this repository."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 2: Create a MOC of the MASH images\n",
    "\n",
    "The multi-order coverage (MOC) map of a set of images represents their sky coverage. MOCs can describe arbitrary zones in the sky which do not need to be connected. You'll see that the union or intersection of two MOCs requires few time and computational effort. Catalogs can also be filtered by MOCs. \n",
    "\n",
    "Here we want to use the fits files just downloaded to create a MOC map corresponding to the coverage of the MASH images.\n",
    "\n",
    "### Organising data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Where to find fits images downloaded from the archive above\n",
    "datadir = Path(\"Data/MASH_Sample/\")\n",
    "datadir.mkdir(parents=True, exist_ok=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In most cases, we could ignore the next cell.  However, some possible deprecated keywords in the fits header would hamper the MOC creation and would cause errors in the underlying `astropy.wcs.WCS` module. This is why we rewrite the headers of the fits files so that they only contain the useful keywords needed to define the coordinate frame correctly before using `mocpy`. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create the MOC\n",
    "\n",
    "Here we can create the MOC of the MASH images with the `MOCPy` module. This can take a few seconds."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: FITSFixedWarning: RADECSYS= 'FK5 ' \n",
      "the RADECSYS keyword is deprecated, use RADESYSa. [astropy.wcs.wcs]\n"
     ]
    }
   ],
   "source": [
    "# Get a list of the fits files and create the MOC\n",
    "mash_file_list = datadir.glob(\n",
    "    \"*_sr_modified.fits\",\n",
    ")  # glob allows to find all paths that end with _sr_modified.fits in datadir\n",
    "mash_file_list = [str(file_path) for file_path in mash_file_list]\n",
    "moc_mash = mocpy.MOC.from_fits_images(mash_file_list, max_norder=15)\n",
    "# this takes a bit of time because a lot of files are opened and processed to extract the moc"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot the MOC\n",
    "\n",
    "We can chose between two of the MOCpy methods to plot the MOC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# A one-liner for a very fast visualization\n",
    "moc_mash.display_preview()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# With a bit more control over the output, the MOC.wcs method\n",
    "fig = plt.figure(figsize=(10, 7))\n",
    "wcs = moc_mash.wcs(fig)\n",
    "ax = fig.add_subplot(projection=wcs)\n",
    "ax.grid(True)  # noqa: FBT003\n",
    "moc_mash.fill(ax, wcs, color=\"purple\", alpha=0.5)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can see how the MOC has arbitrary shapes and not all regions are connected.\n",
    "\n",
    "And for more control over the plot parameters, there is also the mocpy.WCS method (!)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 3: Load an archival extinction map and create the MOC of the low extinction regions\n",
    "\n",
    "Different works (e.g. [Schlegel et al. 1998](https://iopscience.iop.org/article/10.1086/305772), [Schlafly  & Finkbeiner 2011](https://ui.adsabs.harvard.edu/abs/2011AAS...21831803S/abstract), [Green et al. 2015](https://iopscience.iop.org/article/10.1088/0004-637X/810/1/25)...) have created extinction maps of the sky that are publicly available. Some of these maps are all-sky maps, while others have higher resolutions, or come from different methods... They can be found in HEALPix format (among others) on the Legacy Archive for Microwave Background Data Analysis ([LAMBDA](https://lambda.gsfc.nasa.gov/)) website or on the Analysis Center for Extended Data ([CADE](http://cade.irap.omp.eu/dokuwiki/doku.php?id=start)) website. \n",
    "\n",
    "For this tutorial, we will download the well-known all-sky extinction map from Schlegel *et al.* from the LAMBDA  website and define the low extinction area for which $0 < E(B-V) < 0.5$ as a MOC. It has an [information page](https://lambda.gsfc.nasa.gov/product/foreground/fg_sfd_info.html).\n",
    "\n",
    "The map is available here: https://lambda.gsfc.nasa.gov/data/foregrounds/SFD/lambda_sfd_ebv.fits and we save it to disc. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "hdul = fits.open(\n",
    "    \"https://lambda.gsfc.nasa.gov/data/foregrounds/SFD/lambda_sfd_ebv.fits\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We are only interested in regions with low extinction. So we aim to get a MOC of all regions where the extinction values from the Schlegel *et al.* map are between 0 and 0.5mag. The extinction map we got from the NASA webpage is in the HEALPix format. This is an efficient presentation of all-sky maps. The HEALPix tesselation is also used by MOCs. So to get the MOC from the extinction map, we do the following. \n",
    "\n",
    "First, we check the coordinate system in the map header. We will need to convert to equatorial coordinates, change the projection of the map, and set the order (*i.e.* resolution) of the map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SIMPLE  =                    T / file does conform to FITS standard             \n",
       "BITPIX  =                   32 / number of bits per data pixel                  \n",
       "NAXIS   =                    0 / number of data axes                            \n",
       "EXTEND  =                    T / FITS dataset may contain extensions            \n",
       "COMMENT   FITS (Flexible Image Transport System) format is defined in 'Astronomy\n",
       "COMMENT   and Astrophysics', volume 376, page 359; bibcode: 2001A&A...376..359H \n",
       "DATE    = '2003-02-05T00:00:00' /file creation date (YYYY-MM-DDThh:mm:ss UT)    \n",
       "OBJECT  = 'ALL-SKY '           / Portion of sky given                           \n",
       "COMMENT   This file contains an all-sky Galactic reddening map, E(B-V), based on\n",
       "COMMENT   the derived reddening maps of Schlegel, Finkbeiner and Davis (1998).  \n",
       "COMMENT   Software and data files downloaded from their website were used to    \n",
       "COMMENT   interpolate their high resolution dust maps onto pixel centers        \n",
       "COMMENT   appropriate for a HEALPix Nside=512 projection in Galactic            \n",
       "COMMENT   coordinates. This file is distributed and maintained by LAMBDA.       \n",
       "REFERENC= 'Legacy Archive for Microwave Background Data Analysis (LAMBDA)      '\n",
       "REFERENC= '                http://lambda.gsfc.nasa.gov/                        '\n",
       "REFERENC= 'Maps of Dust Infrared Emission for Use in Estimation of Reddening an'\n",
       "REFERENC= ' Cosmic Microwave Background Radiation Foregrounds',                '\n",
       "REFERENC= ' Schlegel, Finkbeiner & Davis 1998 ApJ 500, 525                     '\n",
       "REFERENC= 'Berkeley mirror site for SFD98 data: http://astron.berkeley.edu/dust'\n",
       "REFERENC= 'Princeton mirror site for SFD98 data:                               '\n",
       "REFERENC= '                           http://astro/princeton.edu/~schlegel/dust'\n",
       "REFERENC= 'HEALPix Home Page: http://www.eso.org/science/healpix/              '\n",
       "RESOLUTN=                    9 / Resolution index                               \n",
       "SKYCOORD= 'Galactic'           / Coordinate system                              \n",
       "PIXTYPE = 'HEALPIX '           / Pixel algorithm                                \n",
       "ORDERING= 'NESTED  '           / Ordering scheme                                \n",
       "NSIDE   =                  512 / Resolution parameter                           \n",
       "NPIX    =              3145728 / # of pixels                                    \n",
       "FIRSTPIX=                    0 / First pixel (0 based)                          \n",
       "LASTPIX =              3145727 / Last pixel (0 based)                           "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hdr = hdul[0].header\n",
    "hdr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3145728,)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "FITS_rec([( 9.625492, 1.), (46.090515, 1.), ( 8.18071 , 1.), ...,\n",
       "          (15.149189, 1.), (14.107367, 1.), (15.463686, 1.)],\n",
       "         dtype=(numpy.record, [('TEMPERATURE', '>f4'), ('N_OBS', '>f4')]))"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print((hdul[1].data).shape)\n",
    "hdul[1].data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The data field here has a specific shape. It contains tuples for which the first value is the extinction (named 'TEMPERATURE') and the second one is the number of observations of the value (you can check that it is `1` everywhere)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "extinction_values = hdul[1].data[\"TEMPERATURE\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " Let's extract the information about the number of sides and the order of the healpix map from the header of the fits file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "nside = hdul[0].header[\"NSIDE\"]\n",
    "norder = hdul[0].header[\"RESOLUTN\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The header allows to see that this map is in galactic coordinates. We will need to convert this into equatorial coordinates to compare with our other maps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We can check the the NPIX value corresponds to the one in the header here: 3145728\n"
     ]
    }
   ],
   "source": [
    "# Creation of an HEALpix grid at order 9 in nested ordering\n",
    "healpix_index = np.arange(12 * 4**norder, dtype=np.uint64)\n",
    "print(\n",
    "    f\"We can check the the NPIX value corresponds to the one in the header here: {len(healpix_index)}\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<SkyCoord (ICRS): (ra, dec) in deg\n",
       "    [( 45.        ,  0.0746039 ), ( 45.08789062,  0.14920793),\n",
       "     ( 44.91210938,  0.14920793), ..., (315.08789062, -0.14920793),\n",
       "     (314.91210938, -0.14920793), (315.        , -0.0746039 )]>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the coordinates of the centers of these healpix cells\n",
    "center_coordinates_in_equatorial = cdshealpix.healpix_to_skycoord(\n",
    "    healpix_index,\n",
    "    depth=9,\n",
    ")\n",
    "center_coordinates_in_equatorial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<SkyCoord (Galactic): (l, b) in deg\n",
       "    [(176.8796283 , -48.85086427), (176.89078038, -48.7358142 ),\n",
       "     (176.70525363, -48.86216423), ..., ( 48.82487228, -28.4122831 ),\n",
       "     ( 48.7216889 , -28.26178141), ( 48.84578935, -28.29847774)]>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert this into galactic coordinates\n",
    "center_coordinates_in_galactic = center_coordinates_in_equatorial.galactic\n",
    "center_coordinates_in_galactic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the bilinear interpolation we must apply to each healpix cell to get the values in the other coordinate system\n",
    "healpix, weights = cdshealpix.bilinear_interpolation(\n",
    "    center_coordinates_in_galactic.l,\n",
    "    center_coordinates_in_galactic.b,\n",
    "    depth=norder,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.08981742, 0.0991632 , 0.08249644, ..., 0.08323811, 0.08352184,\n",
       "       0.0820533 ])"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Apply the interpolation\n",
    "ext_map_equatorial_nested = (extinction_values[healpix.data] * weights.data).sum(axis=1)\n",
    "ext_map_equatorial_nested"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we declare which pixel we want to use, let's take all pixels with an extinction lower than 0.5:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The low extinction criteria keeps 86.74% of the sky map\n"
     ]
    }
   ],
   "source": [
    "low_extinction_index = np.where(ext_map_equatorial_nested < 0.5)[0]\n",
    "print(\n",
    "    f\"The low extinction criteria keeps {round((len(low_extinction_index)/ len(extinction_values)*100), 2)}% of the sky map\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And let's create a MOC from this criteria"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "moc_low_extinction = mocpy.MOC.from_healpix_cells(\n",
    "    low_extinction_index,\n",
    "    np.full(\n",
    "        (\n",
    "            len(\n",
    "                low_extinction_index,\n",
    "            )\n",
    "        ),\n",
    "        norder,\n",
    "    ),\n",
    "    norder,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 4:  Find out which regions are covered by the MASH short-red images in the low extinction regions defined above\n",
    "\n",
    "To find out the sky regions of the MASH sample that are at low extinction, we build the intersection of the two MOCs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The intersection of the two MOCs covers 0.0013% of the sky\n"
     ]
    }
   ],
   "source": [
    "moc_intersection = moc_low_extinction.intersection(moc_mash)\n",
    "# Once the intersection is bluit, we can for example print the sky fraction :\n",
    "print(\n",
    "    f\"The intersection of the two MOCs covers {round(moc_intersection.sky_fraction * 100, 4)}% of the sky\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can visualize the coverage of the two MOCs and their intersection. The grey area is where the extinction is low. The blue one is the MASH coverage. The tiny red dots show the MASH coverage in low extinction regions. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fa9c173ee00>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(111, figsize=(10, 7))\n",
    "\n",
    "with mocpy.WCS(\n",
    "    fig,\n",
    "    fov=140 * u.deg,\n",
    "    center=SkyCoord(200, -20, unit=\"deg\", frame=\"icrs\"),\n",
    "    coordsys=\"icrs\",\n",
    "    rotation=Angle(0, u.degree),\n",
    "    projection=\"AIT\",\n",
    ") as wcs:\n",
    "    ax = fig.add_subplot(1, 1, 1, projection=wcs)\n",
    "\n",
    "    moc_low_extinction.fill(\n",
    "        ax=ax,\n",
    "        wcs=wcs,\n",
    "        alpha=0.5,\n",
    "        fill=True,\n",
    "        color=\"grey\",\n",
    "        label=\"low extinction\",\n",
    "    )\n",
    "    moc_mash.fill(\n",
    "        ax=ax,\n",
    "        wcs=wcs,\n",
    "        alpha=0.5,\n",
    "        fill=True,\n",
    "        color=\"dodgerblue\",\n",
    "        label=\"MASH coverage\",\n",
    "    )\n",
    "    moc_intersection.fill(\n",
    "        ax=ax,\n",
    "        wcs=wcs,\n",
    "        alpha=0.5,\n",
    "        fill=True,\n",
    "        color=\"crimson\",\n",
    "        label=\"MASH in low extinction regions\",\n",
    "    )\n",
    "    # Sets labels\n",
    "    ax.set_xlabel(\"RA\")\n",
    "    ax.set_ylabel(\"Dec\")\n",
    "    # Sets ticks\n",
    "    lon, lat = ax.coords[0], ax.coords[1]\n",
    "    lon.set_major_formatter(\"hh:mm:ss\")\n",
    "    lat.set_major_formatter(\"dd:mm\")\n",
    "    lon.set_ticklabel(exclude_overlapping=True)\n",
    "    lat.set_ticklabel(exclude_overlapping=True)\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 5: Query the 2MASS and Gaia Catalogues by MOC\n",
    "\n",
    "Without the usage of MOC, querying for sources in the low extinction regions covered by the MASH subsample would be tedious or even impossible. Indeed, one would need to load the whole catalog and make selections which would not be possible given the size of some catalogs. Alternatively, one would need to query the catalog field by field, which would take time and several queries. Instead, here we will use the power of MOC files to query large catalogs directly in the covered regions only. We will use coverages of the low extinction and MASH regions to query for sources from the Gaia and 2MASS surveys in these highly non-continuous and non-trivial shape areas.\n",
    "\n",
    "First, let's see which Gaia and 2MASS catalogs are available on VizieR. We could, as above, use the TAP endpoint of VizieR. But we show below the `Vizier` module in the `astroquery` package."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true,
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "II/126 :  IRAS Serendipitous Survey Catalog (IPAC 1986)\n",
      "II/241 :  2MASS Catalog Incremental Data Release (IPAC/UMass, 2000)\n",
      "II/246 :  2MASS All-Sky Catalog of Point Sources (Cutri+ 2003)\n",
      "II/281 :  2MASS 6X Point Source Working Database / Catalog (Cutri+ 2006)\n",
      "II/307 :  WISE Preliminary Data Release (Cutri+ 2011)\n",
      "II/311 :  WISE All-Sky Data Release (Cutri+ 2012)\n",
      "II/328 :  AllWISE Data Release (Cutri+ 2013)\n",
      "II/365 :  The CatWISE2020 catalog (updated version 28-Jan-2021) (Marocco+, 2021)\n",
      "VII/233 :  2MASS All-Sky Extended Source Catalog (XSC) (IPAC/UMass, 2003-2006)\n",
      "J/ApJ/560/566 :  K-band galaxy luminosity function from 2MASS (Kochanek+, 2001)\n",
      "J/ApJ/564/421 :  Spectra of T dwarfs. I. (Burgasser+, 2002)\n",
      "J/ApJ/569/23 :  Optical polarisation of 2MASS QSOs (Smith+, 2002)\n",
      "J/ApJ/635/214 :  Chandra X-ray sources and NIR identifications (Ebisawa+, 2005)\n",
      "J/ApJ/713/330 :  Spitzer observations of major-merger galaxies (Xu+, 2010)\n",
      "J/ApJ/719/550 :  Deep NIR imaging of {rho} Oph cloud core (Marsh+, 2010)\n",
      "J/ApJ/741/68 :  Main Belt asteroids with WISE/NEOWISE. I. (Masiero+, 2011)\n",
      "J/ApJ/742/40 :  Jovian Trojans asteroids with WISE/NEOWISE (Grav+, 2011)\n",
      "J/ApJ/743/156 :  NEOWISE observations of NEOs: preliminary results (Mainzer+, 2011)\n",
      "J/ApJ/744/197 :  WISE/NEOWISE observations of Hilda asteroids (Grav+, 2012)\n",
      "J/ApJ/759/L8 :  WISE/NEOWISE observations of main belt asteroids (Masiero+, 2012)\n",
      "J/ApJ/760/L12 :  WISE/NEOWISE NEOs preliminary thermal fits (Mainzer+, 2012)\n",
      "J/ApJ/780/92 :  Light curves of the RR Lyr SDSS J015450.17+001500.7 (Szabo+, 2014)\n",
      "J/ApJ/783/122 :  AllWISE motion survey (Kirkpatrick+, 2014)\n",
      "J/ApJ/784/110 :  NEOWISE observations of 105 near-Earth objects (Mainzer+, 2014)\n",
      "J/ApJ/792/30 :  NEOWISE magnitudes for near-Earth objects (Mainzer+, 2014)\n",
      "J/ApJ/805/90 :  WISE ELIRGs and comparison with QSOs (Tsai+, 2015)\n",
      "J/ApJ/814/117 :  NEOWISE Reactivation mission: 1st yr data (Nugent+, 2015)\n",
      "J/ApJ/874/82 :  Follow-up photometry & spectroscopy of PTF14jg (Hillenbrand+, 2019)\n",
      "J/ApJS/95/1 :  Atlas of Quasar Energy Distributions (Elvis+ 1994)\n",
      "J/ApJS/172/663 :  Infrared observations of the Pleiades (Stauffer+, 2007)\n",
      "J/ApJS/175/191 :  Variables from 2MASS calibration fields (Plavchan+, 2008)\n",
      "J/ApJS/190/100 :  NIR proper motion survey using 2MASS (Kirkpatrick+, 2010)\n",
      "J/ApJS/199/26 :  The 2MASS Redshift Survey (2MRS) (Huchra+, 2012)\n",
      "J/ApJS/224/36 :  The AllWISE motion survey (AllWISE2) (Kirkpatrick+, 2016)\n",
      "J/ApJS/234/23 :  The WISE AGN candidates catalogs (Assef+, 2018)\n",
      "J/AJ/112/62 :  Quasar absorption-line systems (Tanner+ 1996)\n",
      "J/AJ/125/2521 :  2MASS6x survey of the Lockman Hole (Beichman+, 2003)\n",
      "J/AJ/126/63 :  Host galaxies of 2MASS-QSOs with z<=3 (Hutchings+, 2003)\n",
      "J/AJ/127/646 :  Unbiased census of AGN in 2MASS (Francis+, 2004)\n",
      "J/AJ/135/2245 :  Absolute spectrum of the Sun and Vega for 0.2-30um (Rieke+, 2008)\n",
      "J/AJ/144/148 :  Infrared photometry of brown dwarf and Hyper-LIRG (Griffith+, 2012)\n",
      "J/AJ/152/63 :  NEOWISE reactivation mission: 2nd yr data (Nugent+, 2016)\n",
      "J/AJ/154/53 :  WISE/NEOWISE observations of comets (Bauer+, 2017)\n",
      "J/AJ/154/168 :  NEOWISE: thermal model fits for NEOs and MBAs (Masiero+, 2017)\n",
      "J/AJ/156/60 :  Thermal model fits for short-arc NEOs with NEOWISE (Masiero+, 2018)\n",
      "J/PASP/113/10 :  Sub-mJy radio sources complete sample (Masci+, 2001)\n"
     ]
    }
   ],
   "source": [
    "catalog_list_twomass = Vizier.find_catalogs(\"Cutri\")\n",
    "for k, v in catalog_list_twomass.items():\n",
    "    print(k, \": \", v.description)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": true,
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I/324 :  The Initial Gaia Source List (IGSL) (Smart, 2013)\n",
      "I/337 :  Gaia DR1 (Gaia Collaboration, 2016)\n",
      "I/345 :  Gaia DR2 (Gaia Collaboration, 2018)\n",
      "I/347 :  Distances to 1.33 billion stars in Gaia DR2 (Bailer-Jones+, 2018)\n",
      "I/350 :  Gaia EDR3 (Gaia Collaboration, 2020)\n",
      "I/352 :  Distances to 1.47 billion stars in Gaia EDR3 (Bailer-Jones+, 2021)\n",
      "I/355 :  Gaia DR3 Part 1. Main source (Gaia Collaboration, 2022)\n",
      "I/356 :  Gaia DR3 Part 2. Extra-galactic (Gaia Collaboration, 2022)\n",
      "I/357 :  Gaia DR3 Part 3. Non-single stars (Gaia Collaboration, 2022)\n",
      "I/358 :  Gaia DR3 Part 4. Variability (Gaia Collaboration, 2022)\n",
      "I/359 :  Gaia DR3 Part 5. Solar System (Gaia Collaboration, 2022)\n",
      "I/360 :  Gaia DR3 Part 6. Performance verification (Gaia Collaboration, 2022)\n",
      "I/361 :  Gaia Focused Product Release (Gaia FPR) (Gaia Collaboration, 2023)\n",
      "IV/36 :  Gaia-IPHAS/KIS Value-Added Catalogues (Scaringi+, 2018)\n",
      "V/149 :  LAMOST DR2 catalogs (Luo+, 2016)\n",
      "VI/137 :  GaiaSimu Universe Model Snapshot (Robin+, 2012)\n",
      "VI/145 :  ASC Gaia Attitude Star Catalog (Smart, 2015)\n",
      "IX/52 :  XXL Survey. DR2 (Chiappetti+, 2018)\n",
      "J/A+A/523/A48 :  Gaia photometry (Jordi+, 2010)\n",
      "J/A+A/634/A133 :  X-Shooter Spectral Library (XSL). DR2 (Gonneau+, 2020)\n",
      "J/A+A/674/A25 :  Gaia DR3. spurious signals (Holl+, 2023)\n"
     ]
    }
   ],
   "source": [
    "catalog_list_gaia = Vizier.find_catalogs(\"Gaia DR2\", max_catalogs=1000)\n",
    "for k, v in catalog_list_gaia.items():\n",
    "    print(k, \": \", v.description)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For 2MASS we will want to use `II/246 :  2MASS All-Sky Catalog of Point Sources (Cutri+ 2003)` and for Gaia `I/345 :  Gaia DR2 (Gaia Collaboration, 2018)`. Before we query the full two tables we only look at a few sources for each table to understand which columns are available. The query below will give us 50 sources each -- the default for the `get_catalogs` method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true,
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TableList with 1 tables:\n",
      "\t'0:II/246/out' with 15 column(s) and 50 row(s) \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><i>Table length=50</i>\n",
       "<table id=\"table140367090188192\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>RAJ2000</th><th>DEJ2000</th><th>_2MASS</th><th>Jmag</th><th>e_Jmag</th><th>Hmag</th><th>e_Hmag</th><th>Kmag</th><th>e_Kmag</th><th>Qflg</th><th>Rflg</th><th>Bflg</th><th>Cflg</th><th>Xflg</th><th>Aflg</th></tr></thead>\n",
       "<thead><tr><th>deg</th><th>deg</th><th></th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
       "<thead><tr><th>float64</th><th>float64</th><th>str17</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>str3</th><th>int16</th><th>int16</th><th>str3</th><th>uint8</th><th>uint8</th></tr></thead>\n",
       "<tr><td>29.485240</td><td>57.066471</td><td>01575645+5703592</td><td>15.965</td><td>0.087</td><td>15.615</td><td>0.117</td><td>15.232</td><td>0.175</td><td>ABC</td><td>999</td><td>999</td><td>cc0</td><td>0</td><td>0</td></tr>\n",
       "<tr><td>29.464383</td><td>57.066235</td><td>01575145+5703584</td><td>15.920</td><td>0.080</td><td>15.516</td><td>0.129</td><td>15.082</td><td>--</td><td>ABU</td><td>999</td><td>999</td><td>000</td><td>0</td><td>0</td></tr>\n",
       "<tr><td>29.476881</td><td>57.073853</td><td>01575445+5704258</td><td>16.030</td><td>0.089</td><td>15.909</td><td>0.155</td><td>15.436</td><td>0.188</td><td>ACC</td><td>999</td><td>999</td><td>000</td><td>0</td><td>0</td></tr>\n",
       "<tr><td>29.448377</td><td>57.067112</td><td>01574761+5704016</td><td>10.643</td><td>0.019</td><td>9.952</td><td>0.027</td><td>9.767</td><td>0.024</td><td>AAA</td><td>999</td><td>999</td><td>000</td><td>0</td><td>0</td></tr>\n",
       "<tr><td>29.442789</td><td>57.062641</td><td>01574626+5703455</td><td>13.597</td><td>0.022</td><td>13.371</td><td>0.034</td><td>13.264</td><td>0.036</td><td>AAA</td><td>999</td><td>999</td><td>000</td><td>0</td><td>0</td></tr>\n",
       "<tr><td>29.458461</td><td>57.077320</td><td>01575003+5704383</td><td>16.219</td><td>0.111</td><td>16.009</td><td>0.154</td><td>15.214</td><td>0.166</td><td>BCC</td><td>999</td><td>999</td><td>000</td><td>0</td><td>0</td></tr>\n",
       "<tr><td>29.444759</td><td>57.077946</td><td>01574674+5704406</td><td>15.803</td><td>0.077</td><td>15.049</td><td>0.078</td><td>14.865</td><td>0.125</td><td>AAB</td><td>999</td><td>999</td><td>000</td><td>0</td><td>0</td></tr>\n",
       "<tr><td>29.458775</td><td>57.080967</td><td>01575010+5704514</td><td>15.588</td><td>0.060</td><td>15.459</td><td>0.117</td><td>15.232</td><td>0.165</td><td>ABC</td><td>999</td><td>999</td><td>000</td><td>0</td><td>0</td></tr>\n",
       "<tr><td>29.447978</td><td>57.084961</td><td>01574751+5705058</td><td>16.621</td><td>0.139</td><td>16.363</td><td>0.237</td><td>16.171</td><td>--</td><td>CDU</td><td>999</td><td>999</td><td>000</td><td>0</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></tr>\n",
       "<tr><td>29.393178</td><td>57.093967</td><td>01573436+5705382</td><td>16.390</td><td>0.131</td><td>15.782</td><td>0.137</td><td>15.313</td><td>0.174</td><td>BBC</td><td>999</td><td>999</td><td>000</td><td>0</td><td>0</td></tr>\n",
       "<tr><td>29.398370</td><td>57.097393</td><td>01573560+5705506</td><td>12.902</td><td>0.021</td><td>12.670</td><td>0.030</td><td>12.526</td><td>0.031</td><td>AAA</td><td>999</td><td>999</td><td>000</td><td>0</td><td>0</td></tr>\n",
       "<tr><td>29.410601</td><td>57.097225</td><td>01573854+5705500</td><td>13.412</td><td>0.022</td><td>12.865</td><td>0.032</td><td>12.661</td><td>0.033</td><td>AAA</td><td>999</td><td>999</td><td>000</td><td>0</td><td>0</td></tr>\n",
       "<tr><td>29.421428</td><td>57.102650</td><td>01574114+5706095</td><td>16.734</td><td>0.184</td><td>16.003</td><td>0.183</td><td>15.750</td><td>0.282</td><td>CCD</td><td>999</td><td>999</td><td>000</td><td>0</td><td>0</td></tr>\n",
       "<tr><td>29.407717</td><td>57.102718</td><td>01573785+5706097</td><td>16.268</td><td>0.108</td><td>15.552</td><td>0.115</td><td>15.425</td><td>0.209</td><td>BBC</td><td>999</td><td>999</td><td>000</td><td>0</td><td>0</td></tr>\n",
       "<tr><td>29.402569</td><td>57.105267</td><td>01573661+5706189</td><td>16.153</td><td>0.100</td><td>15.518</td><td>0.106</td><td>15.295</td><td>0.165</td><td>ABC</td><td>999</td><td>999</td><td>000</td><td>0</td><td>0</td></tr>\n",
       "<tr><td>29.407350</td><td>57.109585</td><td>01573776+5706345</td><td>16.383</td><td>0.139</td><td>15.745</td><td>0.154</td><td>15.518</td><td>0.228</td><td>BBD</td><td>999</td><td>999</td><td>000</td><td>0</td><td>0</td></tr>\n",
       "<tr><td>29.570234</td><td>57.024178</td><td>01581685+5701270</td><td>16.422</td><td>0.093</td><td>15.798</td><td>0.137</td><td>15.489</td><td>--</td><td>ABU</td><td>999</td><td>999</td><td>000</td><td>0</td><td>0</td></tr>\n",
       "<tr><td>29.585798</td><td>57.034946</td><td>01582059+5702058</td><td>16.118</td><td>0.073</td><td>15.506</td><td>0.101</td><td>16.072</td><td>--</td><td>ABU</td><td>999</td><td>999</td><td>000</td><td>0</td><td>0</td></tr>\n",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=50>\n",
       " RAJ2000    DEJ2000        _2MASS        Jmag  ...  Bflg Cflg  Xflg  Aflg\n",
       "   deg        deg                        mag   ...                       \n",
       " float64    float64        str17       float32 ... int16 str3 uint8 uint8\n",
       "---------- ---------- ---------------- ------- ... ----- ---- ----- -----\n",
       " 29.485240  57.066471 01575645+5703592  15.965 ...   999  cc0     0     0\n",
       " 29.464383  57.066235 01575145+5703584  15.920 ...   999  000     0     0\n",
       " 29.476881  57.073853 01575445+5704258  16.030 ...   999  000     0     0\n",
       " 29.448377  57.067112 01574761+5704016  10.643 ...   999  000     0     0\n",
       " 29.442789  57.062641 01574626+5703455  13.597 ...   999  000     0     0\n",
       " 29.458461  57.077320 01575003+5704383  16.219 ...   999  000     0     0\n",
       " 29.444759  57.077946 01574674+5704406  15.803 ...   999  000     0     0\n",
       " 29.458775  57.080967 01575010+5704514  15.588 ...   999  000     0     0\n",
       " 29.447978  57.084961 01574751+5705058  16.621 ...   999  000     0     0\n",
       "       ...        ...              ...     ... ...   ...  ...   ...   ...\n",
       " 29.393178  57.093967 01573436+5705382  16.390 ...   999  000     0     0\n",
       " 29.398370  57.097393 01573560+5705506  12.902 ...   999  000     0     0\n",
       " 29.410601  57.097225 01573854+5705500  13.412 ...   999  000     0     0\n",
       " 29.421428  57.102650 01574114+5706095  16.734 ...   999  000     0     0\n",
       " 29.407717  57.102718 01573785+5706097  16.268 ...   999  000     0     0\n",
       " 29.402569  57.105267 01573661+5706189  16.153 ...   999  000     0     0\n",
       " 29.407350  57.109585 01573776+5706345  16.383 ...   999  000     0     0\n",
       " 29.570234  57.024178 01581685+5701270  16.422 ...   999  000     0     0\n",
       " 29.585798  57.034946 01582059+5702058  16.118 ...   999  000     0     0"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_twomass = Vizier.get_catalogs(\"II/246\")\n",
    "print(test_twomass)\n",
    "test_twomass[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true,
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TableList with 20 tables:\n",
      "\t'0:I/345/gaia2' with 32 column(s) and 50 row(s) \n",
      "\t'1:I/345/rvstdcat' with 30 column(s) and 50 row(s) \n",
      "\t'2:I/345/rvstdmes' with 7 column(s) and 50 row(s) \n",
      "\t'3:I/345/allwise' with 2 column(s) and 50 row(s) \n",
      "\t'4:I/345/iers' with 2 column(s) and 50 row(s) \n",
      "\t'5:I/345/cepheid' with 23 column(s) and 50 row(s) \n",
      "\t'6:I/345/rrlyrae' with 21 column(s) and 50 row(s) \n",
      "\t'7:I/345/lpv' with 11 column(s) and 50 row(s) \n",
      "\t'8:I/345/varres' with 7 column(s) and 50 row(s) \n",
      "\t'9:I/345/shortts' with 9 column(s) and 50 row(s) \n",
      "\t'10:I/345/tsstat' with 13 column(s) and 50 row(s) \n",
      "\t'11:I/345/numtrans' with 4 column(s) and 50 row(s) \n",
      "\t'12:I/345/transits' with 20 column(s) and 50 row(s) \n",
      "\t'13:I/345/rm' with 9 column(s) and 50 row(s) \n",
      "\t'14:I/345/rmseg' with 16 column(s) and 50 row(s) \n",
      "\t'15:I/345/rmout' with 2 column(s) and 50 row(s) \n",
      "\t'16:I/345/ssoobj' with 6 column(s) and 50 row(s) \n",
      "\t'17:I/345/ssoorb' with 19 column(s) and 50 row(s) \n",
      "\t'18:I/345/ssores' with 10 column(s) and 50 row(s) \n",
      "\t'19:I/345/ssoobs' with 7 column(s) and 50 row(s) \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><i>Table length=50</i>\n",
       "<table id=\"table140367154432224\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>RA_ICRS</th><th>e_RA_ICRS</th><th>DE_ICRS</th><th>e_DE_ICRS</th><th>Source</th><th>Plx</th><th>e_Plx</th><th>pmRA</th><th>e_pmRA</th><th>pmDE</th><th>e_pmDE</th><th>Dup</th><th>FG</th><th>e_FG</th><th>Gmag</th><th>e_Gmag</th><th>FBP</th><th>e_FBP</th><th>BPmag</th><th>e_BPmag</th><th>FRP</th><th>e_FRP</th><th>RPmag</th><th>e_RPmag</th><th>BP-RP</th><th>RV</th><th>e_RV</th><th>Teff</th><th>AG</th><th>E_BP-RP_</th><th>Rad</th><th>Lum</th></tr></thead>\n",
       "<thead><tr><th>deg</th><th>mas</th><th>deg</th><th>mas</th><th></th><th>mas</th><th>mas</th><th>mas / yr</th><th>mas / yr</th><th>mas / yr</th><th>mas / yr</th><th></th><th></th><th></th><th>mag</th><th>mag</th><th></th><th></th><th>mag</th><th>mag</th><th></th><th></th><th>mag</th><th>mag</th><th>mag</th><th>km / s</th><th>km / s</th><th>K</th><th>mag</th><th>mag</th><th>solRad</th><th>solLum</th></tr></thead>\n",
       "<thead><tr><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>int64</th><th>float64</th><th>float32</th><th>float64</th><th>float32</th><th>float64</th><th>float32</th><th>uint8</th><th>float32</th><th>float32</th><th>float64</th><th>float64</th><th>float32</th><th>float32</th><th>float64</th><th>float64</th><th>float32</th><th>float32</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>float32</th><th>float64</th><th>float32</th><th>float32</th><th>float32</th><th>float64</th></tr></thead>\n",
       "<tr><td>45.09385125633</td><td>0.5468</td><td>0.64718689957</td><td>0.5908</td><td>59236189231232</td><td>0.6518</td><td>0.6371</td><td>0.314</td><td>1.301</td><td>-0.696</td><td>1.185</td><td>0</td><td>216</td><td>1.702</td><td>19.8521</td><td>0.0086</td><td>139.7</td><td>26.32</td><td>19.9881</td><td>0.2045</td><td>180.2</td><td>9.54</td><td>19.1227</td><td>0.0575</td><td>0.8654</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>45.09016634680</td><td>0.1233</td><td>0.64778425962</td><td>0.1282</td><td>59236189231360</td><td>3.3237</td><td>0.1433</td><td>30.321</td><td>0.268</td><td>11.596</td><td>0.258</td><td>0</td><td>1668</td><td>2.888</td><td>17.6330</td><td>0.0019</td><td>334</td><td>12.01</td><td>19.0420</td><td>0.0390</td><td>2092</td><td>11.22</td><td>16.4604</td><td>0.0058</td><td>2.5817</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>45.09637402450</td><td>0.1503</td><td>0.65057829283</td><td>0.1729</td><td>59270548970752</td><td>0.1847</td><td>0.1751</td><td>3.537</td><td>0.324</td><td>0.654</td><td>0.329</td><td>0</td><td>1152</td><td>2.626</td><td>18.0343</td><td>0.0025</td><td>578.5</td><td>8.796</td><td>18.4457</td><td>0.0165</td><td>812.5</td><td>10.04</td><td>17.4873</td><td>0.0134</td><td>0.9584</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>45.10917067997</td><td>0.0508</td><td>0.65253074863</td><td>0.0511</td><td>59270548971648</td><td>3.0466</td><td>0.0589</td><td>-9.468</td><td>0.112</td><td>-42.970</td><td>0.108</td><td>0</td><td>8026</td><td>7.941</td><td>15.9271</td><td>0.0011</td><td>2279</td><td>19.84</td><td>16.9569</td><td>0.0094</td><td>8598</td><td>28.17</td><td>14.9259</td><td>0.0036</td><td>2.0310</td><td>--</td><td>--</td><td>3968.25</td><td>0.5188</td><td>0.2743</td><td>0.51</td><td>0.058</td></tr>\n",
       "<tr><td>45.09796814525</td><td>0.1832</td><td>0.65754124036</td><td>0.2085</td><td>59270548972672</td><td>2.4526</td><td>0.2132</td><td>-5.853</td><td>0.398</td><td>-16.305</td><td>0.397</td><td>0</td><td>916.7</td><td>2.068</td><td>18.2828</td><td>0.0024</td><td>192.4</td><td>21.36</td><td>19.6409</td><td>0.1205</td><td>1180</td><td>9.902</td><td>17.0824</td><td>0.0091</td><td>2.5585</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>45.19007365441</td><td>0.1721</td><td>0.61029286301</td><td>0.1585</td><td>59407987910400</td><td>0.5127</td><td>0.2013</td><td>4.836</td><td>0.396</td><td>-7.668</td><td>0.343</td><td>0</td><td>796.5</td><td>2.06</td><td>18.4355</td><td>0.0028</td><td>316.2</td><td>12.3</td><td>19.1014</td><td>0.0422</td><td>697.3</td><td>19.29</td><td>17.6534</td><td>0.0300</td><td>1.4480</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>45.17954669668</td><td>0.0417</td><td>0.62334168746</td><td>0.0374</td><td>59481002873984</td><td>0.3591</td><td>0.0483</td><td>5.397</td><td>0.090</td><td>-2.072</td><td>0.079</td><td>0</td><td>1.06e+04</td><td>7.983</td><td>15.6254</td><td>0.0008</td><td>5177</td><td>21.25</td><td>16.0661</td><td>0.0045</td><td>7884</td><td>16.63</td><td>15.0201</td><td>0.0023</td><td>1.0461</td><td>--</td><td>--</td><td>5230.15</td><td>--</td><td>--</td><td>2.26</td><td>3.434</td></tr>\n",
       "<tr><td>45.19835624575</td><td>0.7170</td><td>0.61889600019</td><td>0.6358</td><td>59511067349888</td><td>1.2027</td><td>0.8248</td><td>18.321</td><td>1.612</td><td>-5.007</td><td>1.486</td><td>0</td><td>158.9</td><td>1.178</td><td>20.1853</td><td>0.0080</td><td>32.06</td><td>9.529</td><td>21.5865</td><td>0.3227</td><td>194.4</td><td>14.25</td><td>19.0402</td><td>0.0796</td><td>2.5463</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>45.19316005009</td><td>0.2348</td><td>0.62788982619</td><td>0.2169</td><td>59511067131264</td><td>0.3592</td><td>0.2775</td><td>9.952</td><td>0.534</td><td>-8.522</td><td>0.469</td><td>0</td><td>525.9</td><td>1.666</td><td>18.8860</td><td>0.0034</td><td>147.4</td><td>11.06</td><td>19.9305</td><td>0.0815</td><td>576.5</td><td>9.755</td><td>17.8599</td><td>0.0184</td><td>2.0706</td><td>--</td><td>--</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></tr>\n",
       "<tr><td>45.17851235309</td><td>0.6679</td><td>0.71941000556</td><td>0.7418</td><td>61435212721536</td><td>0.8569</td><td>0.8089</td><td>5.620</td><td>1.559</td><td>-1.140</td><td>1.569</td><td>0</td><td>140.5</td><td>1.38</td><td>20.3191</td><td>0.0107</td><td>68.9</td><td>14.77</td><td>20.7559</td><td>0.2327</td><td>162.7</td><td>11.74</td><td>19.2333</td><td>0.0783</td><td>1.5226</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>45.36911882512</td><td>0.9610</td><td>0.62423486568</td><td>1.0506</td><td>61710090606208</td><td>0.3827</td><td>1.0732</td><td>-0.062</td><td>2.511</td><td>-10.229</td><td>2.825</td><td>0</td><td>104.9</td><td>1.451</td><td>20.6369</td><td>0.0150</td><td>51.19</td><td>12.27</td><td>21.0784</td><td>0.2602</td><td>133.9</td><td>11.42</td><td>19.4452</td><td>0.0926</td><td>1.6332</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>45.38209664821</td><td>0.2998</td><td>0.62971437456</td><td>0.2815</td><td>61744450126336</td><td>0.9129</td><td>0.3639</td><td>-0.777</td><td>0.666</td><td>1.923</td><td>0.585</td><td>0</td><td>434</td><td>1.51</td><td>19.0947</td><td>0.0038</td><td>148.4</td><td>10.78</td><td>19.9232</td><td>0.0789</td><td>435.5</td><td>8.186</td><td>18.1646</td><td>0.0204</td><td>1.7586</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>45.32071447605</td><td>0.5260</td><td>0.63669534592</td><td>0.5678</td><td>61916248820480</td><td>-0.0319</td><td>0.5683</td><td>-1.908</td><td>1.262</td><td>-4.770</td><td>1.421</td><td>0</td><td>215.2</td><td>1.666</td><td>19.8564</td><td>0.0084</td><td>114</td><td>12.5</td><td>20.2091</td><td>0.1191</td><td>187.1</td><td>10.9</td><td>19.0820</td><td>0.0633</td><td>1.1271</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>45.32102040980</td><td>0.7441</td><td>0.63715000826</td><td>0.7814</td><td>61916249777152</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>0</td><td>142</td><td>1.852</td><td>20.3073</td><td>0.0142</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>45.35879125297</td><td>0.7295</td><td>0.64973223199</td><td>0.8485</td><td>62019328996224</td><td>4.1994</td><td>0.8158</td><td>-3.135</td><td>1.927</td><td>-9.373</td><td>2.279</td><td>0</td><td>131.2</td><td>1.352</td><td>20.3935</td><td>0.0112</td><td>39.16</td><td>14.47</td><td>21.3692</td><td>0.4011</td><td>161</td><td>8.014</td><td>19.2446</td><td>0.0540</td><td>2.1246</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>45.33488125795</td><td>0.0275</td><td>0.65248756480</td><td>0.0255</td><td>62057983280000</td><td>1.5226</td><td>0.0312</td><td>-0.636</td><td>0.065</td><td>-8.686</td><td>0.062</td><td>0</td><td>3.171e+04</td><td>10.1</td><td>14.4355</td><td>0.0003</td><td>1.505e+04</td><td>38.64</td><td>14.9079</td><td>0.0028</td><td>2.387e+04</td><td>33.63</td><td>13.8173</td><td>0.0015</td><td>1.0905</td><td>--</td><td>--</td><td>5071.26</td><td>0.4130</td><td>0.2022</td><td>0.99</td><td>0.588</td></tr>\n",
       "<tr><td>45.40628465876</td><td>2.2579</td><td>0.65864338433</td><td>3.2979</td><td>62156766995712</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>0</td><td>89.1</td><td>1.624</td><td>20.8137</td><td>0.0198</td><td>132.5</td><td>66.04</td><td>20.0455</td><td>0.5410</td><td>76.79</td><td>4.94</td><td>20.0487</td><td>0.0698</td><td>-0.0031</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>45.39118235879</td><td>0.5203</td><td>0.66357470915</td><td>0.5184</td><td>62225486691200</td><td>0.4148</td><td>0.6422</td><td>-2.503</td><td>1.178</td><td>-17.955</td><td>1.079</td><td>0</td><td>180.8</td><td>1.326</td><td>20.0457</td><td>0.0080</td><td>80.85</td><td>31.87</td><td>20.5822</td><td>0.4279</td><td>218</td><td>12.19</td><td>18.9159</td><td>0.0607</td><td>1.6663</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=50>\n",
       "    RA_ICRS     e_RA_ICRS     DE_ICRS     ... E_BP-RP_   Rad      Lum   \n",
       "      deg          mas          deg       ...   mag     solRad   solLum \n",
       "    float64      float64      float64     ... float32  float32  float64 \n",
       "--------------- --------- --------------- ... -------- ------- ---------\n",
       " 45.09385125633    0.5468   0.64718689957 ...       --      --        --\n",
       " 45.09016634680    0.1233   0.64778425962 ...       --      --        --\n",
       " 45.09637402450    0.1503   0.65057829283 ...       --      --        --\n",
       " 45.10917067997    0.0508   0.65253074863 ...   0.2743    0.51     0.058\n",
       " 45.09796814525    0.1832   0.65754124036 ...       --      --        --\n",
       " 45.19007365441    0.1721   0.61029286301 ...       --      --        --\n",
       " 45.17954669668    0.0417   0.62334168746 ...       --    2.26     3.434\n",
       " 45.19835624575    0.7170   0.61889600019 ...       --      --        --\n",
       " 45.19316005009    0.2348   0.62788982619 ...       --      --        --\n",
       "            ...       ...             ... ...      ...     ...       ...\n",
       " 45.17851235309    0.6679   0.71941000556 ...       --      --        --\n",
       " 45.36911882512    0.9610   0.62423486568 ...       --      --        --\n",
       " 45.38209664821    0.2998   0.62971437456 ...       --      --        --\n",
       " 45.32071447605    0.5260   0.63669534592 ...       --      --        --\n",
       " 45.32102040980    0.7441   0.63715000826 ...       --      --        --\n",
       " 45.35879125297    0.7295   0.64973223199 ...       --      --        --\n",
       " 45.33488125795    0.0275   0.65248756480 ...   0.2022    0.99     0.588\n",
       " 45.40628465876    2.2579   0.65864338433 ...       --      --        --\n",
       " 45.39118235879    0.5203   0.66357470915 ...       --      --        --"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_gaia = Vizier.get_catalogs(\"I/345\")\n",
    "print(test_gaia)\n",
    "test_gaia[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you will see below, we only need coordinates, 2MASS photometry in the H and K band, and Gaia photometry in the Gaia G band. So we'll query the tables `II/246/out` for 2MASS and `I/345/gaia2` for Gaia DR2:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true,
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><i>Table length=19784</i>\n",
       "<table id=\"table140367061796848\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>_2MASS</th><th>RAJ2000</th><th>DEJ2000</th><th>errHalfMaj</th><th>errHalfMin</th><th>errPosAng</th><th>Jmag</th><th>Hmag</th><th>Kmag</th><th>e_Jmag</th><th>e_Hmag</th><th>e_Kmag</th><th>Qfl</th><th>Rfl</th><th>X</th><th>MeasureJD</th></tr></thead>\n",
       "<thead><tr><th></th><th>deg</th><th>deg</th><th>arcsec</th><th>arcsec</th><th>deg</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th>mag</th><th></th><th></th><th></th><th>d</th></tr></thead>\n",
       "<thead><tr><th>str17</th><th>float64</th><th>float64</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>str3</th><th>int16</th><th>uint8</th><th>float64</th></tr></thead>\n",
       "<tr><td>07004924-2609161</td><td>105.205199</td><td>-26.154478</td><td>0.06</td><td>0.06</td><td>90.0</td><td>12.241</td><td>11.679</td><td>11.401</td><td>0.027</td><td>0.026</td><td>0.023</td><td>AAA</td><td>222</td><td>0</td><td>2451208.5657</td></tr>\n",
       "<tr><td>07005553-2609080</td><td>105.231379</td><td>-26.152241</td><td>0.07</td><td>0.07</td><td>45.0</td><td>15.443</td><td>14.916</td><td>14.773</td><td>0.033</td><td>0.049</td><td>0.109</td><td>AAB</td><td>222</td><td>0</td><td>2451208.5657</td></tr>\n",
       "<tr><td>07005410-2608455</td><td>105.225439</td><td>-26.145973</td><td>0.06</td><td>0.06</td><td>90.0</td><td>10.554</td><td>10.259</td><td>10.203</td><td>0.024</td><td>0.024</td><td>0.019</td><td>AAA</td><td>222</td><td>0</td><td>2451208.5657</td></tr>\n",
       "<tr><td>07005605-2608553</td><td>105.233576</td><td>-26.14872</td><td>0.06</td><td>0.06</td><td>90.0</td><td>11.891</td><td>11.6</td><td>11.596</td><td>0.026</td><td>0.024</td><td>0.023</td><td>AAA</td><td>222</td><td>0</td><td>2451208.5657</td></tr>\n",
       "<tr><td>07005809-2608512</td><td>105.242043</td><td>-26.147581</td><td>0.21</td><td>0.2</td><td>109.0</td><td>16.746</td><td>16.293</td><td>15.534</td><td>0.138</td><td>0.199</td><td>--</td><td>BCU</td><td>220</td><td>0</td><td>2451208.5657</td></tr>\n",
       "<tr><td>07005247-2609231</td><td>105.218641</td><td>-26.156427</td><td>0.08</td><td>0.08</td><td>135.0</td><td>15.602</td><td>15.26</td><td>15.049</td><td>0.063</td><td>0.077</td><td>0.147</td><td>AAB</td><td>222</td><td>0</td><td>2451208.5657</td></tr>\n",
       "<tr><td>07005211-2609189</td><td>105.217137</td><td>-26.155258</td><td>0.06</td><td>0.06</td><td>90.0</td><td>14.179</td><td>13.935</td><td>13.901</td><td>0.041</td><td>0.043</td><td>0.065</td><td>AAA</td><td>222</td><td>0</td><td>2451208.5657</td></tr>\n",
       "<tr><td>07005137-2609029</td><td>105.214075</td><td>-26.150816</td><td>0.19</td><td>0.19</td><td>45.0</td><td>16.608</td><td>16.15</td><td>16.086</td><td>0.131</td><td>0.17</td><td>--</td><td>BCU</td><td>220</td><td>0</td><td>2451208.5657</td></tr>\n",
       "<tr><td>07005056-2609004</td><td>105.210699</td><td>-26.150122</td><td>0.15</td><td>0.15</td><td>45.0</td><td>16.472</td><td>15.976</td><td>15.562</td><td>0.125</td><td>0.15</td><td>--</td><td>BBU</td><td>220</td><td>0</td><td>2451208.5657</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></tr>\n",
       "<tr><td>12404086-5347259</td><td>190.17025</td><td>-53.79055</td><td>0.08</td><td>0.07</td><td>5.0</td><td>15.313</td><td>14.878</td><td>14.915</td><td>0.056</td><td>0.067</td><td>0.144</td><td>AAB</td><td>222</td><td>0</td><td>2451312.531</td></tr>\n",
       "<tr><td>12404683-5347492</td><td>190.195133</td><td>-53.797001</td><td>0.08</td><td>0.07</td><td>5.0</td><td>15.064</td><td>14.632</td><td>14.569</td><td>0.052</td><td>0.073</td><td>0.099</td><td>AAA</td><td>222</td><td>0</td><td>2451312.531</td></tr>\n",
       "<tr><td>12404640-5347396</td><td>190.193372</td><td>-53.794361</td><td>0.07</td><td>0.06</td><td>0.0</td><td>13.27</td><td>12.911</td><td>12.881</td><td>0.023</td><td>0.031</td><td>0.031</td><td>AAA</td><td>222</td><td>0</td><td>2451312.531</td></tr>\n",
       "<tr><td>12093034-5553408</td><td>182.376454</td><td>-55.894691</td><td>0.23</td><td>0.22</td><td>65.0</td><td>16.436</td><td>15.895</td><td>16.865</td><td>0.131</td><td>0.19</td><td>--</td><td>BCU</td><td>220</td><td>0</td><td>2451384.4889</td></tr>\n",
       "<tr><td>12093037-5553252</td><td>182.376575</td><td>-55.89035</td><td>0.27</td><td>0.26</td><td>43.0</td><td>16.389</td><td>16.026</td><td>16.561</td><td>0.127</td><td>0.217</td><td>--</td><td>BDU</td><td>220</td><td>0</td><td>2451384.4889</td></tr>\n",
       "<tr><td>12093089-5553446</td><td>182.378724</td><td>-55.895725</td><td>0.17</td><td>0.17</td><td>145.0</td><td>16.26</td><td>15.616</td><td>15.839</td><td>0.117</td><td>0.157</td><td>--</td><td>BCU</td><td>220</td><td>0</td><td>2451384.4889</td></tr>\n",
       "<tr><td>12093019-5553333</td><td>182.375829</td><td>-55.892605</td><td>0.07</td><td>0.07</td><td>17.0</td><td>15.282</td><td>14.897</td><td>14.683</td><td>0.051</td><td>0.095</td><td>0.119</td><td>AAB</td><td>222</td><td>0</td><td>2451384.4889</td></tr>\n",
       "<tr><td>12093246-5553264</td><td>182.385279</td><td>-55.890694</td><td>0.06</td><td>0.06</td><td>17.0</td><td>13.705</td><td>13.012</td><td>12.816</td><td>0.027</td><td>0.032</td><td>0.035</td><td>AAA</td><td>222</td><td>0</td><td>2451384.4889</td></tr>\n",
       "<tr><td>12093324-5553089</td><td>182.388524</td><td>-55.885818</td><td>0.08</td><td>0.07</td><td>3.0</td><td>15.77</td><td>15.261</td><td>14.976</td><td>0.074</td><td>0.111</td><td>0.139</td><td>ABB</td><td>222</td><td>0</td><td>2451384.4889</td></tr>\n",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=19784>\n",
       "     _2MASS       RAJ2000    DEJ2000   errHalfMaj ...  Rfl    X    MeasureJD  \n",
       "                    deg        deg       arcsec   ...                  d      \n",
       "     str17        float64    float64    float32   ... int16 uint8   float64   \n",
       "---------------- ---------- ---------- ---------- ... ----- ----- ------------\n",
       "07004924-2609161 105.205199 -26.154478       0.06 ...   222     0 2451208.5657\n",
       "07005553-2609080 105.231379 -26.152241       0.07 ...   222     0 2451208.5657\n",
       "07005410-2608455 105.225439 -26.145973       0.06 ...   222     0 2451208.5657\n",
       "07005605-2608553 105.233576  -26.14872       0.06 ...   222     0 2451208.5657\n",
       "07005809-2608512 105.242043 -26.147581       0.21 ...   220     0 2451208.5657\n",
       "07005247-2609231 105.218641 -26.156427       0.08 ...   222     0 2451208.5657\n",
       "07005211-2609189 105.217137 -26.155258       0.06 ...   222     0 2451208.5657\n",
       "07005137-2609029 105.214075 -26.150816       0.19 ...   220     0 2451208.5657\n",
       "07005056-2609004 105.210699 -26.150122       0.15 ...   220     0 2451208.5657\n",
       "             ...        ...        ...        ... ...   ...   ...          ...\n",
       "12404086-5347259  190.17025  -53.79055       0.08 ...   222     0  2451312.531\n",
       "12404683-5347492 190.195133 -53.797001       0.08 ...   222     0  2451312.531\n",
       "12404640-5347396 190.193372 -53.794361       0.07 ...   222     0  2451312.531\n",
       "12093034-5553408 182.376454 -55.894691       0.23 ...   220     0 2451384.4889\n",
       "12093037-5553252 182.376575  -55.89035       0.27 ...   220     0 2451384.4889\n",
       "12093089-5553446 182.378724 -55.895725       0.17 ...   220     0 2451384.4889\n",
       "12093019-5553333 182.375829 -55.892605       0.07 ...   222     0 2451384.4889\n",
       "12093246-5553264 182.385279 -55.890694       0.06 ...   222     0 2451384.4889\n",
       "12093324-5553089 182.388524 -55.885818       0.08 ...   222     0 2451384.4889"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "twomass = moc_intersection.query_vizier_table(\"II/246/out\", max_rows=20000)\n",
    "twomass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": true,
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><i>Table length=20000</i>\n",
       "<table id=\"table140367154438128\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>ra_epoch2000</th><th>dec_epoch2000</th><th>errHalfMaj</th><th>errHalfMin</th><th>errPosAng</th><th>source_id</th><th>ra</th><th>ra_error</th><th>dec</th><th>dec_error</th><th>parallax</th><th>parallax_error</th><th>pmra</th><th>pmra_error</th><th>pmdec</th><th>pmdec_error</th><th>duplicated_source</th><th>phot_g_mean_flux</th><th>phot_g_mean_flux_error</th><th>phot_g_mean_mag</th><th>phot_bp_mean_flux</th><th>phot_bp_mean_flux_error</th><th>phot_bp_mean_mag</th><th>phot_rp_mean_flux</th><th>phot_rp_mean_flux_error</th><th>phot_rp_mean_mag</th><th>bp_rp</th><th>radial_velocity</th><th>radial_velocity_error</th><th>rv_nb_transits</th><th>teff_val</th><th>a_g_val</th><th>e_bp_min_rp_val</th><th>radius_val</th><th>lum_val</th></tr></thead>\n",
       "<thead><tr><th>deg</th><th>deg</th><th>arcsec</th><th>arcsec</th><th>deg</th><th></th><th>deg</th><th>mas</th><th>deg</th><th>mas</th><th>mas</th><th>mas</th><th>mas / yr</th><th>mas / yr</th><th>mas / yr</th><th>mas / yr</th><th></th><th>e-/s</th><th>e-/s</th><th>mag</th><th>e-/s</th><th>e-/s</th><th>mag</th><th>e-/s</th><th>e-/s</th><th>mag</th><th>mag</th><th>km / s</th><th>km / s</th><th></th><th>K</th><th>mag</th><th>mag</th><th>Rsun</th><th>Lsun</th></tr></thead>\n",
       "<thead><tr><th>float64</th><th>float64</th><th>float32</th><th>float32</th><th>float32</th><th>int64</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>bool</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>int16</th><th>float64</th><th>float32</th><th>float32</th><th>float64</th><th>float64</th></tr></thead>\n",
       "<tr><td>105.2066061184302</td><td>-26.1538940663577</td><td>0.004</td><td>0.004</td><td>0.0</td><td>2920762586611045376</td><td>105.20658290054</td><td>0.1161</td><td>-26.15393087599</td><td>0.149</td><td>0.136</td><td>0.1944</td><td>-4.84</td><td>0.253</td><td>-8.549</td><td>0.271</td><td>False</td><td>602.539</td><td>1.1074</td><td>18.738403</td><td>267.377</td><td>5.59862</td><td>19.283577</td><td>535.627</td><td>6.13289</td><td>17.939764</td><td>1.343813</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>105.2052022499317</td><td>-26.1544492445426</td><td>0.001</td><td>0.001</td><td>0.0</td><td>2920762586615338752</td><td>105.20527986473</td><td>0.0267</td><td>-26.15425317585</td><td>0.0358</td><td>15.1333</td><td>0.0454</td><td>16.181</td><td>0.059</td><td>45.539</td><td>0.066</td><td>False</td><td>16217.1</td><td>8.55749</td><td>15.163431</td><td>2736.6</td><td>12.0165</td><td>16.75836</td><td>21463.4</td><td>32.9159</td><td>13.932673</td><td>2.825687</td><td>--</td><td>--</td><td>0</td><td>3928.82</td><td>0.1227</td><td>0.094</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>105.2254316259827</td><td>-26.1459685548036</td><td>0.001</td><td>0.001</td><td>0.0</td><td>2920762724054281728</td><td>105.22540767106</td><td>0.0161</td><td>-26.14597192505</td><td>0.0217</td><td>3.0363</td><td>0.0265</td><td>-4.994</td><td>0.034</td><td>-0.783</td><td>0.039</td><td>False</td><td>447474.0</td><td>150.212</td><td>11.561445</td><td>240915.0</td><td>221.395</td><td>11.896729</td><td>295385.0</td><td>244.062</td><td>11.085948</td><td>0.810782</td><td>12.24</td><td>0.54</td><td>10</td><td>5789.0</td><td>0.359</td><td>0.195</td><td>1.38</td><td>1.916</td></tr>\n",
       "<tr><td>105.2255476000922</td><td>-26.1406471806866</td><td>0.062</td><td>0.038</td><td>90.0</td><td>2920762724052466816</td><td>105.22555538166</td><td>2.0243</td><td>-26.14064454062</td><td>1.4671</td><td>-4.0178</td><td>1.6818</td><td>1.622</td><td>3.991</td><td>0.613</td><td>2.468</td><td>False</td><td>76.608</td><td>1.20685</td><td>20.97768</td><td>36.0788</td><td>7.86989</td><td>21.458258</td><td>65.0345</td><td>7.80032</td><td>20.229061</td><td>1.229197</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>105.2186311670325</td><td>-26.156438621226</td><td>0.002</td><td>0.001</td><td>0.0</td><td>2920762685395330944</td><td>105.21862542833</td><td>0.0384</td><td>-26.1564233977</td><td>0.0518</td><td>0.4535</td><td>0.0652</td><td>-1.196</td><td>0.088</td><td>3.536</td><td>0.101</td><td>False</td><td>3596.37</td><td>2.41419</td><td>16.798706</td><td>1782.51</td><td>6.52961</td><td>17.223808</td><td>2630.98</td><td>10.0304</td><td>16.211626</td><td>1.012182</td><td>--</td><td>--</td><td>0</td><td>5324.0</td><td>0.2803</td><td>0.14</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>105.2119407930607</td><td>-26.148242191244</td><td>0.012</td><td>0.011</td><td>0.0</td><td>2920762689690245120</td><td>105.21193444979</td><td>0.3448</td><td>-26.14822964561</td><td>0.433</td><td>0.6099</td><td>0.6059</td><td>-1.322</td><td>0.699</td><td>2.914</td><td>0.795</td><td>False</td><td>151.185</td><td>0.741582</td><td>20.239592</td><td>58.4888</td><td>5.62295</td><td>20.933706</td><td>147.958</td><td>5.41634</td><td>19.336573</td><td>1.597134</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>105.2101027197529</td><td>-26.1493188643026</td><td>0.003</td><td>0.002</td><td>0.0</td><td>2920762685393857664</td><td>105.21008829533</td><td>0.075</td><td>-26.14929289497</td><td>0.1004</td><td>0.5265</td><td>0.1263</td><td>-3.007</td><td>0.157</td><td>6.032</td><td>0.181</td><td>False</td><td>1089.74</td><td>1.25074</td><td>18.09506</td><td>474.512</td><td>8.77005</td><td>18.66077</td><td>951.979</td><td>11.217</td><td>17.315351</td><td>1.345419</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>105.233577941629</td><td>-26.1487114377012</td><td>0.001</td><td>0.001</td><td>0.0</td><td>2920762655334900352</td><td>105.23358687293</td><td>0.0188</td><td>-26.14871224799</td><td>0.0281</td><td>0.6511</td><td>0.0338</td><td>1.862</td><td>0.039</td><td>-0.188</td><td>0.05</td><td>False</td><td>141155.0</td><td>27.6249</td><td>12.814123</td><td>79733.0</td><td>74.3211</td><td>13.097294</td><td>90552.3</td><td>113.271</td><td>12.369671</td><td>0.727623</td><td>--</td><td>--</td><td>0</td><td>6290.0</td><td>--</td><td>--</td><td>3.03</td><td>12.909</td></tr>\n",
       "<tr><td>105.2298314760221</td><td>-26.1384116458451</td><td>0.006</td><td>0.005</td><td>0.0</td><td>2920762719755070720</td><td>105.2298328238</td><td>0.1448</td><td>-26.13840364909</td><td>0.2119</td><td>-0.4599</td><td>0.2489</td><td>0.281</td><td>0.308</td><td>1.857</td><td>0.383</td><td>False</td><td>1198.17</td><td>3.55001</td><td>17.99207</td><td>586.998</td><td>6.56335</td><td>18.429798</td><td>1042.57</td><td>5.6909</td><td>17.216658</td><td>1.213141</td><td>--</td><td>--</td><td>0</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></tr>\n",
       "<tr><td>286.6993829324819</td><td>-16.5821039497348</td><td>0.004</td><td>0.003</td><td>90.0</td><td>4088730216353585920</td><td>286.69937395748</td><td>0.1357</td><td>-16.58213272386</td><td>0.1369</td><td>0.1246</td><td>0.1411</td><td>-1.998</td><td>0.238</td><td>-6.683</td><td>0.215</td><td>False</td><td>1981.79</td><td>3.06034</td><td>17.445724</td><td>844.279</td><td>10.0523</td><td>18.035173</td><td>1643.97</td><td>10.3648</td><td>16.722185</td><td>1.312988</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>286.6963834136197</td><td>-16.5849153146221</td><td>0.002</td><td>0.001</td><td>90.0</td><td>4088730220669538688</td><td>286.69637839819</td><td>0.0527</td><td>-16.58490847684</td><td>0.0491</td><td>0.0708</td><td>0.055</td><td>-1.116</td><td>0.102</td><td>1.588</td><td>0.089</td><td>False</td><td>9283.59</td><td>7.20664</td><td>15.769075</td><td>3756.87</td><td>14.4613</td><td>16.414322</td><td>7967.53</td><td>26.8564</td><td>15.008611</td><td>1.405711</td><td>--</td><td>--</td><td>0</td><td>4809.62</td><td>0.348</td><td>0.1653</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>286.6938297521173</td><td>-16.5806976451671</td><td>0.037</td><td>0.033</td><td>0.0</td><td>4088730220650841472</td><td>286.69380780318</td><td>0.8091</td><td>-16.58070500216</td><td>0.7449</td><td>1.6569</td><td>0.9279</td><td>-4.886</td><td>2.144</td><td>-1.709</td><td>2.399</td><td>False</td><td>126.719</td><td>1.9013</td><td>20.431263</td><td>248.985</td><td>155.818</td><td>19.360956</td><td>117.25</td><td>48.3755</td><td>19.589136</td><td>-0.22818</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>286.6937302999216</td><td>-16.586352116054</td><td>0.017</td><td>0.015</td><td>90.0</td><td>4088730186289924096</td><td>286.6937419687</td><td>0.5747</td><td>-16.58637019079</td><td>0.5313</td><td>0.6284</td><td>0.5059</td><td>2.597</td><td>1.078</td><td>-4.198</td><td>0.941</td><td>False</td><td>242.495</td><td>1.42055</td><td>19.726606</td><td>187.615</td><td>8.71396</td><td>19.668219</td><td>258.771</td><td>12.5838</td><td>18.729631</td><td>0.938587</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>286.6923263914704</td><td>-16.5950076068847</td><td>0.016</td><td>0.014</td><td>90.0</td><td>4088730117570391680</td><td>286.69228689634</td><td>0.5148</td><td>-16.59503562694</td><td>0.486</td><td>0.0273</td><td>0.4912</td><td>-8.791</td><td>1.005</td><td>-6.508</td><td>0.919</td><td>False</td><td>254.175</td><td>1.17755</td><td>19.675533</td><td>166.733</td><td>7.80453</td><td>19.796333</td><td>186.025</td><td>13.988</td><td>19.087994</td><td>0.70834</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>286.6990751669917</td><td>-16.5854870711225</td><td>0.031</td><td>0.03</td><td>0.0</td><td>4088730220650832384</td><td>286.69907017979</td><td>0.8828</td><td>-16.58550441555</td><td>0.8566</td><td>0.4562</td><td>0.795</td><td>-1.11</td><td>1.964</td><td>-4.028</td><td>1.977</td><td>False</td><td>127.25</td><td>1.32415</td><td>20.426722</td><td>93.6008</td><td>14.2788</td><td>20.42319</td><td>101.515</td><td>14.6011</td><td>19.745594</td><td>0.677595</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>286.699727987182</td><td>-16.5849042116214</td><td>0.003</td><td>0.003</td><td>90.0</td><td>4088730216353575936</td><td>286.69972717633</td><td>0.1016</td><td>-16.58492114919</td><td>0.0954</td><td>0.1231</td><td>0.1025</td><td>-0.18</td><td>0.191</td><td>-3.934</td><td>0.172</td><td>False</td><td>2902.42</td><td>3.65924</td><td>17.031467</td><td>1430.36</td><td>11.801</td><td>17.462772</td><td>2171.63</td><td>25.1919</td><td>16.419954</td><td>1.042818</td><td>--</td><td>--</td><td>0</td><td>5063.84</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>286.6915147248319</td><td>-16.5880323030601</td><td>0.012</td><td>0.011</td><td>90.0</td><td>4088730186289926528</td><td>286.69151218666</td><td>0.4126</td><td>-16.58806439493</td><td>0.3824</td><td>0.2903</td><td>0.4003</td><td>-0.565</td><td>0.793</td><td>-7.454</td><td>0.721</td><td>False</td><td>311.3</td><td>1.37999</td><td>19.455416</td><td>147.821</td><td>8.99601</td><td>19.92705</td><td>232.117</td><td>9.25892</td><td>18.847652</td><td>1.079397</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "<tr><td>286.6980906584381</td><td>-16.589175455702</td><td>0.003</td><td>0.003</td><td>90.0</td><td>4088730117570395264</td><td>286.69809065844</td><td>3.096</td><td>-16.5891754557</td><td>2.5481</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td><td>False</td><td>115.568</td><td>1.27166</td><td>20.531275</td><td>91.317</td><td>15.7204</td><td>20.450008</td><td>100.718</td><td>11.8582</td><td>19.754148</td><td>0.69586</td><td>--</td><td>--</td><td>0</td><td>--</td><td>--</td><td>--</td><td>--</td><td>--</td></tr>\n",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=20000>\n",
       "   ra_epoch2000     dec_epoch2000   errHalfMaj ... radius_val lum_val\n",
       "       deg               deg          arcsec   ...    Rsun      Lsun \n",
       "     float64           float64       float32   ...  float64   float64\n",
       "----------------- ----------------- ---------- ... ---------- -------\n",
       "105.2066061184302 -26.1538940663577      0.004 ...         --      --\n",
       "105.2052022499317 -26.1544492445426      0.001 ...         --      --\n",
       "105.2254316259827 -26.1459685548036      0.001 ...       1.38   1.916\n",
       "105.2255476000922 -26.1406471806866      0.062 ...         --      --\n",
       "105.2186311670325  -26.156438621226      0.002 ...         --      --\n",
       "105.2119407930607  -26.148242191244      0.012 ...         --      --\n",
       "105.2101027197529 -26.1493188643026      0.003 ...         --      --\n",
       " 105.233577941629 -26.1487114377012      0.001 ...       3.03  12.909\n",
       "105.2298314760221 -26.1384116458451      0.006 ...         --      --\n",
       "              ...               ...        ... ...        ...     ...\n",
       "286.6993829324819 -16.5821039497348      0.004 ...         --      --\n",
       "286.6963834136197 -16.5849153146221      0.002 ...         --      --\n",
       "286.6938297521173 -16.5806976451671      0.037 ...         --      --\n",
       "286.6937302999216  -16.586352116054      0.017 ...         --      --\n",
       "286.6923263914704 -16.5950076068847      0.016 ...         --      --\n",
       "286.6990751669917 -16.5854870711225      0.031 ...         --      --\n",
       " 286.699727987182 -16.5849042116214      0.003 ...         --      --\n",
       "286.6915147248319 -16.5880323030601      0.012 ...         --      --\n",
       "286.6980906584381  -16.589175455702      0.003 ...         --      --"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gaia = moc_intersection.query_vizier_table(\"I/345/gaia2\", max_rows=20000)\n",
    "gaia"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 6: Cross-match Gaia and 2MASS sources in all fields\n",
    "\n",
    "We now want to find sources in the selected region (observed in the MASH regions of interest and at low extinction) that are common to the 2MASS and Gaia catalogs. To do so, we will perform a cross-match of the Gaia and 2MASS catalogs. Alternatively, we could use the CDS XMatch service via the corresponding `astroquery` module.\n",
    "\n",
    "To do so, let's first inspect the `match_coordinates_sky` function from `astropy.coordinates`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": true,
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on function match_coordinates_sky in module astropy.coordinates.matching:\n",
      "\n",
      "match_coordinates_sky(matchcoord, catalogcoord, nthneighbor=1, storekdtree='kdtree_sky')\n",
      "    Finds the nearest on-sky matches of a coordinate or coordinates in\n",
      "    a set of catalog coordinates.\n",
      "    \n",
      "    This finds the on-sky closest neighbor, which is only different from the\n",
      "    3-dimensional match if ``distance`` is set in either ``matchcoord``\n",
      "    or ``catalogcoord``.\n",
      "    \n",
      "    Parameters\n",
      "    ----------\n",
      "    matchcoord : `~astropy.coordinates.BaseCoordinateFrame` or `~astropy.coordinates.SkyCoord`\n",
      "        The coordinate(s) to match to the catalog.\n",
      "    catalogcoord : `~astropy.coordinates.BaseCoordinateFrame` or `~astropy.coordinates.SkyCoord`\n",
      "        The base catalog in which to search for matches. Typically this will\n",
      "        be a coordinate object that is an array (i.e.,\n",
      "        ``catalogcoord.isscalar == False``)\n",
      "    nthneighbor : int, optional\n",
      "        Which closest neighbor to search for.  Typically ``1`` is desired here,\n",
      "        as that is correct for matching one set of coordinates to another.\n",
      "        The next likely use case is ``2``, for matching a coordinate catalog\n",
      "        against *itself* (``1`` is inappropriate because each point will find\n",
      "        itself as the closest match).\n",
      "    storekdtree : bool or str, optional\n",
      "        If a string, will store the KD-Tree used for the computation\n",
      "        in the ``catalogcoord`` in ``catalogcoord.cache`` with the\n",
      "        provided name.  This dramatically speeds up subsequent calls with the\n",
      "        same catalog. If False, the KD-Tree is discarded after use.\n",
      "    \n",
      "    Returns\n",
      "    -------\n",
      "    idx : int array\n",
      "        Indices into ``catalogcoord`` to get the matched points for each\n",
      "        ``matchcoord``. Shape matches ``matchcoord``.\n",
      "    sep2d : `~astropy.coordinates.Angle`\n",
      "        The on-sky separation between the closest match for each\n",
      "        ``matchcoord`` and the ``matchcoord``. Shape matches ``matchcoord``.\n",
      "    dist3d : `~astropy.units.Quantity` ['length']\n",
      "        The 3D distance between the closest match for each ``matchcoord`` and\n",
      "        the ``matchcoord``. Shape matches ``matchcoord``.  If either\n",
      "        ``matchcoord`` or ``catalogcoord`` don't have a distance, this is the 3D\n",
      "        distance on the unit sphere, rather than a true distance.\n",
      "    \n",
      "    Notes\n",
      "    -----\n",
      "    This function requires `SciPy <https://www.scipy.org/>`_ to be installed\n",
      "    or it will fail.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(match_coordinates_sky)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We generate the coordinates in the appropriate format\n",
    "twomass_coord = SkyCoord(ra=twomass[\"RAJ2000\"], dec=twomass[\"DEJ2000\"], unit=u.deg)\n",
    "gaia_coord = SkyCoord(ra=gaia[\"ra_epoch2000\"], dec=gaia[\"dec_epoch2000\"], unit=u.deg)\n",
    "\n",
    "index, separation_2d, _ = match_coordinates_sky(twomass_coord, gaia_coord)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "scrolled": true,
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><i>Table length=2461</i>\n",
       "<table id=\"table140367160277456\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>_2MASS</th><th>RAJ2000</th><th>DEJ2000</th><th>Hmag</th><th>Kmag</th><th>Gmag</th></tr></thead>\n",
       "<thead><tr><th></th><th>deg</th><th>deg</th><th>mag</th><th>mag</th><th>mag</th></tr></thead>\n",
       "<thead><tr><th>str17</th><th>float64</th><th>float64</th><th>float32</th><th>float32</th><th>float64</th></tr></thead>\n",
       "<tr><td>07004924-2609161</td><td>105.205199</td><td>-26.154478</td><td>11.679</td><td>11.401</td><td>15.163431</td></tr>\n",
       "<tr><td>07005553-2609080</td><td>105.231379</td><td>-26.152241</td><td>14.916</td><td>14.773</td><td>17.04277</td></tr>\n",
       "<tr><td>07005410-2608455</td><td>105.225439</td><td>-26.145973</td><td>10.259</td><td>10.203</td><td>11.561445</td></tr>\n",
       "<tr><td>07005605-2608553</td><td>105.233576</td><td>-26.14872</td><td>11.6</td><td>11.596</td><td>12.814123</td></tr>\n",
       "<tr><td>07005809-2608512</td><td>105.242043</td><td>-26.147581</td><td>16.293</td><td>15.534</td><td>18.124905</td></tr>\n",
       "<tr><td>07005247-2609231</td><td>105.218641</td><td>-26.156427</td><td>15.26</td><td>15.049</td><td>16.798706</td></tr>\n",
       "<tr><td>07005211-2609189</td><td>105.217137</td><td>-26.155258</td><td>13.935</td><td>13.901</td><td>15.073216</td></tr>\n",
       "<tr><td>07005137-2609029</td><td>105.214075</td><td>-26.150816</td><td>16.15</td><td>16.086</td><td>18.203348</td></tr>\n",
       "<tr><td>07005056-2609004</td><td>105.210699</td><td>-26.150122</td><td>15.976</td><td>15.562</td><td>18.129118</td></tr>\n",
       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
       "<tr><td>19064594-1635515</td><td>286.691417</td><td>-16.597643</td><td>15.619</td><td>15.301</td><td>20.496124</td></tr>\n",
       "<tr><td>19064668-1634538</td><td>286.694521</td><td>-16.581614</td><td>15.432</td><td>14.542</td><td>17.792925</td></tr>\n",
       "<tr><td>19064720-1635472</td><td>286.696689</td><td>-16.596464</td><td>15.485</td><td>15.537</td><td>17.76891</td></tr>\n",
       "<tr><td>19064817-1634479</td><td>286.700747</td><td>-16.579975</td><td>15.088</td><td>14.954</td><td>16.522064</td></tr>\n",
       "<tr><td>19064785-1634555</td><td>286.699402</td><td>-16.582111</td><td>15.25</td><td>14.904</td><td>17.445724</td></tr>\n",
       "<tr><td>19064793-1635057</td><td>286.699732</td><td>-16.584917</td><td>15.312</td><td>15.112</td><td>17.031467</td></tr>\n",
       "<tr><td>19065153-1635084</td><td>286.714737</td><td>-16.58567</td><td>15.863</td><td>14.698</td><td>18.407427</td></tr>\n",
       "<tr><td>19065170-1635040</td><td>286.715418</td><td>-16.584455</td><td>13.256</td><td>13.168</td><td>15.601813</td></tr>\n",
       "<tr><td>19065195-1635199</td><td>286.716468</td><td>-16.588884</td><td>15.119</td><td>15.102</td><td>16.665237</td></tr>\n",
       "</table></div>"
      ],
      "text/plain": [
       "<Table length=2461>\n",
       "     _2MASS       RAJ2000    DEJ2000     Hmag    Kmag     Gmag  \n",
       "                    deg        deg       mag     mag      mag   \n",
       "     str17        float64    float64   float32 float32  float64 \n",
       "---------------- ---------- ---------- ------- ------- ---------\n",
       "07004924-2609161 105.205199 -26.154478  11.679  11.401 15.163431\n",
       "07005553-2609080 105.231379 -26.152241  14.916  14.773  17.04277\n",
       "07005410-2608455 105.225439 -26.145973  10.259  10.203 11.561445\n",
       "07005605-2608553 105.233576  -26.14872    11.6  11.596 12.814123\n",
       "07005809-2608512 105.242043 -26.147581  16.293  15.534 18.124905\n",
       "07005247-2609231 105.218641 -26.156427   15.26  15.049 16.798706\n",
       "07005211-2609189 105.217137 -26.155258  13.935  13.901 15.073216\n",
       "07005137-2609029 105.214075 -26.150816   16.15  16.086 18.203348\n",
       "07005056-2609004 105.210699 -26.150122  15.976  15.562 18.129118\n",
       "             ...        ...        ...     ...     ...       ...\n",
       "19064594-1635515 286.691417 -16.597643  15.619  15.301 20.496124\n",
       "19064668-1634538 286.694521 -16.581614  15.432  14.542 17.792925\n",
       "19064720-1635472 286.696689 -16.596464  15.485  15.537  17.76891\n",
       "19064817-1634479 286.700747 -16.579975  15.088  14.954 16.522064\n",
       "19064785-1634555 286.699402 -16.582111   15.25  14.904 17.445724\n",
       "19064793-1635057 286.699732 -16.584917  15.312  15.112 17.031467\n",
       "19065153-1635084 286.714737  -16.58567  15.863  14.698 18.407427\n",
       "19065170-1635040 286.715418 -16.584455  13.256  13.168 15.601813\n",
       "19065195-1635199 286.716468 -16.588884  15.119  15.102 16.665237"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Decide the maximum separation between objects to be considered acceptable matches\n",
    "max_separation = 1.0 * u.arcsec\n",
    "# Apply constraint on the two catalogs\n",
    "sep_constraint = separation_2d < max_separation\n",
    "twomass_matches = twomass[sep_constraint]\n",
    "gaia_matches = gaia[index[sep_constraint]]\n",
    "# Select only interesting columns from twomass_matches\n",
    "match_catalog = twomass_matches[\"_2MASS\", \"RAJ2000\", \"DEJ2000\", \"Hmag\", \"Kmag\"]\n",
    "# Add column G magnitude from gaia\n",
    "match_catalog[\"Gmag\"] = gaia_matches[\"phot_g_mean_mag\"]\n",
    "match_catalog"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 7: Build a color-color diagram\n",
    "\n",
    "We now use the data we got from the cross-match to get a 2MASS/Gaia color-color diagram for all the sources in the low extinction sky regions covered by the MASH survey:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10, 8))\n",
    "ax.plot(\n",
    "    match_catalog[\"Hmag\"] - match_catalog[\"Kmag\"],\n",
    "    match_catalog[\"Gmag\"] - match_catalog[\"Hmag\"],\n",
    "    linestyle=\"\",\n",
    "    marker=\".\",\n",
    ")\n",
    "ax.set_xlabel(\"H - Ks [mag]\", fontsize=16)\n",
    "ax.set_ylabel(\"G - H [mag]\", fontsize=16)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "cds-tutos",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.11"
  },
  "vscode": {
   "interpreter": {
    "hash": "18fabf4b7284864439f771ae90661426265feb3ce932d65d859d3ebdb8aac045"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}