astroquery_example_spectra.ipynb

{
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    "# Searching for Stellar Spectra\n",
    "In this notebook we will search the CFHT ESPaDOnS archive for B-type stars in the Bright Star Catalogue with vsini values less than 20 km/s. A plot of the intensity spectrum from 6525Å to 6700Å will then be provided for each object found in the archive. To fetch and query data, we will use the `astroquery` package, particularly the CADC and Vizier modules.\n",
    "\n",
    "## Table of Contents\n",
    "* [1. Introduction](#1.-Introduction)\n",
    "* [2. Setup](#2.-Setup)\n",
    "    * [2.1 Using pip](#2.1-Using-pip)\n",
    "    * [2.2 From source](#2.2-From-source)\n",
    "* [3. Querying](#3.-Querying)\n",
    "    * [3.1 Querying the VizieR Catalog](#3.1-Querying-the-VizieR-Catalog)\n",
    "    * [3.2 Defining Search Parameters](#3.2-Defining-Search-Parameters)\n",
    "    * [3.3 Querying CADC using ADQL](#3.3-Querying-CADC-using-ADQL)\n",
    "* [4. Fetching Data](#4.-Fetching-Data)\n",
    "* [5. Plotting Results](#5.-Plotting-Results)\n",
    "\n",
    "## 1. Introduction\n",
    "The [Bright Star Catalog](http://adsabs.harvard.edu/abs/1995yCat.5050....0H) (BSC) is an open data collection with basic astronomical information of bright stars.\n",
    "\n",
    "## 2. Setup\n",
    "This tutorial will go through some of the basic functionalities of the CADC astroquery package. The CADC module can be installed in two ways:\n",
    "\n",
    "### 2.1 Using pip\n",
    "The CADC module is only available with the pre-release of the astroquery module, and can be installed using the command:\n",
    "\n",
    "```\n",
    "    pip install --pre --upgrade astroquery\n",
    "```\n",
    "\n",
    "### 2.2 From source\n",
    "Alternatively, you can clone and install from the source:\n",
    "```\n",
    "    # If you have a github account:\n",
    "    git clone git@github.com:astropy/astroquery.git\n",
    "    # If you do not:\n",
    "    git clone https://github.com/astropy/astroquery.git\n",
    "    cd astroquery\n",
    "    python setup.py install\n",
    "```\n",
    "Note that these commands can also be done in a Jupyter notebook by either declaring the code cell a bash cell by pasting `%%bash` at the top of the cell, or preceding each line with a `!`. More information about astroquery can be found at the [astroquery github repository](https://github.com/astropy/astroquery). \n",
    "\n",
    "## 3. Querying\n",
    "In order to get the stars that we want to look at and the spectra of those stars, we will have to do two queries: one of the Bright Star Catalog and the other of the CADC database.\n",
    "\n",
    "### 3.1 Querying the VizieR Catalog\n",
    "In order to query the BSC, we will use the [VizieR database](http://vizier.cfa.harvard.edu/) which is a library of published astronomical catalogs. Through VizieR, we can access and query the 5th Revised Ed. of the BSC. In this tutorial, we want stars of [spectral type 'B'](https://en.wikipedia.org/wiki/Stellar_classification#Class_B) with rotation velocity less than 20 km/s."
   ]
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    {
     "name": "stdout",
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     "text": [
      "{'V/50': 'Bright Star Catalogue, 5th Revised Ed. (Hoffleit+, 1991)'}\n"
     ]
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       "<i>Table masked=True length=85</i>\n",
       "<table id=\"table139846452144728\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>HR</th><th>Name</th><th>HD</th><th>ADS</th><th>VarID</th><th>RAJ2000</th><th>DEJ2000</th><th>Vmag</th><th>B-V</th><th>SpType</th><th>NoteFlag</th></tr></thead>\n",
       "<thead><tr><th></th><th></th><th></th><th></th><th></th><th>&quot;h:m:s&quot;</th><th>&quot;d:m:s&quot;</th><th>mag</th><th>mag</th><th></th><th></th></tr></thead>\n",
       "<thead><tr><th>int16</th><th>bytes10</th><th>int32</th><th>bytes5</th><th>bytes9</th><th>bytes10</th><th>bytes9</th><th>float32</th><th>float32</th><th>bytes20</th><th>bytes1</th></tr></thead>\n",
       "<tr><td>39</td><td>88Gam Peg</td><td>886</td><td></td><td>Gam Peg</td><td>00 13 14.2</td><td>+15 11 01</td><td>2.83</td><td>-0.23</td><td>B2IV</td><td>*</td></tr>\n",
       "<tr><td>62</td><td></td><td>1279</td><td></td><td></td><td>00 17 09.1</td><td>+47 56 51</td><td>5.89</td><td>-0.09</td><td>B7III</td><td></td></tr>\n",
       "<tr><td>153</td><td>17Zet Cas</td><td>3360</td><td></td><td>225</td><td>00 36 58.3</td><td>+53 53 49</td><td>3.66</td><td>-0.20</td><td>B2IV</td><td>*</td></tr>\n",
       "<tr><td>208</td><td>23    Cas</td><td>4382</td><td></td><td></td><td>00 47 46.1</td><td>+74 50 51</td><td>5.41</td><td>-0.08</td><td>B8III</td><td>*</td></tr>\n",
       "<tr><td>280</td><td>Alp Scl</td><td>5737</td><td></td><td>359</td><td>00 58 36.4</td><td>-29 21 27</td><td>4.31</td><td>-0.16</td><td>B7IIIp</td><td>*</td></tr>\n",
       "<tr><td>465</td><td></td><td>9996</td><td></td><td>GY And</td><td>01 38 31.7</td><td>+45 24 00</td><td>6.36</td><td>0.04</td><td>B9pCrEu</td><td>*</td></tr>\n",
       "<tr><td>542</td><td>45Eps Cas</td><td>11415</td><td></td><td>652</td><td>01 54 23.7</td><td>+63 40 12</td><td>3.38</td><td>-0.15</td><td>B3III</td><td>*</td></tr>\n",
       "<tr><td>562</td><td></td><td>11905</td><td></td><td></td><td>01 57 56.4</td><td>+41 41 40</td><td>6.78</td><td>-0.06</td><td>B8III</td><td>*</td></tr>\n",
       "<tr><td>677</td><td></td><td>14272</td><td></td><td></td><td>02 19 37.3</td><td>+39 50 06</td><td>6.63</td><td>-0.09</td><td>B8V</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></tr>\n",
       "<tr><td>7878</td><td></td><td>196426</td><td></td><td></td><td>20 37 18.3</td><td>+00 05 49</td><td>6.22</td><td>-0.08</td><td>B8IIIp</td><td></td></tr>\n",
       "<tr><td>8094</td><td></td><td>201433</td><td>14682</td><td>V389 Cyg</td><td>21 08 38.9</td><td>+30 12 21</td><td>5.59</td><td>-0.10</td><td>B9VpSi</td><td>*</td></tr>\n",
       "<tr><td>8226</td><td></td><td>204754</td><td></td><td>13745</td><td>21 28 52.7</td><td>+55 25 07</td><td>6.12</td><td>0.14</td><td>B8III</td><td></td></tr>\n",
       "<tr><td>8349</td><td></td><td>207857</td><td></td><td>V1619 Cyg</td><td>21 51 04.9</td><td>+39 32 12</td><td>6.17</td><td>-0.08</td><td>B9pHgMn</td><td>*</td></tr>\n",
       "<tr><td>8404</td><td>21    Peg</td><td>209459</td><td></td><td></td><td>22 03 19.0</td><td>+11 23 11</td><td>5.80</td><td>-0.07</td><td>B9.5V</td><td></td></tr>\n",
       "<tr><td>8452</td><td>38    Aqr</td><td>210424</td><td></td><td></td><td>22 10 37.5</td><td>-11 33 54</td><td>5.46</td><td>-0.12</td><td>B7III</td><td></td></tr>\n",
       "<tr><td>8663</td><td>Xi  Oct</td><td>215573</td><td></td><td></td><td>22 50 22.9</td><td>-80 07 27</td><td>5.35</td><td>-0.15</td><td>B6IV</td><td></td></tr>\n",
       "<tr><td>8704</td><td>74    Aqr</td><td>216494</td><td></td><td>HI Aqr</td><td>22 53 28.7</td><td>-11 37 00</td><td>5.80</td><td>-0.08</td><td>B9III</td><td>*</td></tr>\n",
       "<tr><td>8706</td><td></td><td>216538</td><td></td><td>14346</td><td>22 53 11.3</td><td>+40 10 02</td><td>6.34</td><td>-0.08</td><td>B7III-IV</td><td></td></tr>\n",
       "<tr><td>8873</td><td></td><td>219927</td><td></td><td></td><td>23 19 27.4</td><td>+34 47 36</td><td>6.32</td><td>-0.08</td><td>B8III</td><td></td></tr>\n",
       "</table>"
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       "<Table masked=True length=85>\n",
       "  HR     Name     HD    ADS     VarID   ...   Vmag    B-V    SpType  NoteFlag\n",
       "                                        ...   mag     mag                    \n",
       "int16  bytes10  int32  bytes5   bytes9  ... float32 float32 bytes20   bytes1 \n",
       "----- --------- ------ ------ --------- ... ------- ------- -------- --------\n",
       "   39 88Gam Peg    886          Gam Peg ...    2.83   -0.23     B2IV        *\n",
       "   62             1279                  ...    5.89   -0.09    B7III         \n",
       "  153 17Zet Cas   3360              225 ...    3.66   -0.20     B2IV        *\n",
       "  208 23    Cas   4382                  ...    5.41   -0.08    B8III        *\n",
       "  280   Alp Scl   5737              359 ...    4.31   -0.16   B7IIIp        *\n",
       "  465             9996           GY And ...    6.36    0.04  B9pCrEu        *\n",
       "  542 45Eps Cas  11415              652 ...    3.38   -0.15    B3III        *\n",
       "  562            11905                  ...    6.78   -0.06    B8III        *\n",
       "  677            14272                  ...    6.63   -0.09      B8V         \n",
       "  ...       ...    ...    ...       ... ...     ...     ...      ...      ...\n",
       " 7878           196426                  ...    6.22   -0.08   B8IIIp         \n",
       " 8094           201433  14682  V389 Cyg ...    5.59   -0.10   B9VpSi        *\n",
       " 8226           204754            13745 ...    6.12    0.14    B8III         \n",
       " 8349           207857        V1619 Cyg ...    6.17   -0.08  B9pHgMn        *\n",
       " 8404 21    Peg 209459                  ...    5.80   -0.07    B9.5V         \n",
       " 8452 38    Aqr 210424                  ...    5.46   -0.12    B7III         \n",
       " 8663   Xi  Oct 215573                  ...    5.35   -0.15     B6IV         \n",
       " 8704 74    Aqr 216494           HI Aqr ...    5.80   -0.08    B9III        *\n",
       " 8706           216538            14346 ...    6.34   -0.08 B7III-IV         \n",
       " 8873           219927                  ...    6.32   -0.08    B8III         "
      ]
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   ],
   "source": [
    "from astroquery.vizier import Vizier\n",
    "\n",
    "# Get the catalog name of the 5th Revised Ed. of the Bright Star Catalog\n",
    "catalog_list = Vizier.find_catalogs('Bright Star Catalogue, 5th Revised Ed.')\n",
    "print({k: v.description for k, v in catalog_list.items()})\n",
    "catalog_key = list(catalog_list.keys())[0]\n",
    "catalog = Vizier.get_catalogs(catalog_key)\n",
    "catalog_name = catalog.keys()[0]\n",
    "\n",
    "# Increase the row limit and query the catalog\n",
    "Vizier.ROW_LIMIT = 200\n",
    "result = Vizier.query_constraints(catalog=catalog_name,\n",
    "                                  SpType='B*',\n",
    "                                  RotVel='<20')\n",
    "bright_star_results = result[catalog_name]\n",
    "bright_star_results"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2 Defining Search Parameters\n",
    "\n",
    "We want to search the CADC data for products that:\n",
    "* Have energy bounds that overlap a wavelength range of 6675Å to 6682Å (so the cutouts we do later will provide profiles of the He I 6678Å line)\n",
    "* Have a release date before today, so we can access the data\n",
    "* Overlap the RA and Dec of the stars in our results table above within a radius of 0.01 degrees\n",
    "* Come from the [ESPaDOnS spectropolarimeter](https://www.cfht.hawaii.edu/Instruments/Spectroscopy/Espadons/) at the Canada-France-Hawaii Telescope (CFHT) \n",
    "* Have a processed intensity spectrum available (meaning the archive product ID should match the pattern *i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime\n",
    "from astropy.coordinates import SkyCoord\n",
    "from astropy import units as u\n",
    "\n",
    "# Define energy bounds in Angstrom and convert to metres\n",
    "def ang_to_m(x):\n",
    "    return x * 1e-10\n",
    "\n",
    "\n",
    "energy_bounds_ang = (6675, 6682)\n",
    "energy_bounds_m = (ang_to_m(energy_bounds_ang[0]),\n",
    "                   ang_to_m(energy_bounds_ang[1]))\n",
    "\n",
    "# Grab todays date and time\n",
    "today = datetime.datetime.now().strftime(\"%Y-%m-%d %X\")\n",
    "\n",
    "# Get RA, Dec, HD, and Spectral Type of each star\n",
    "ra_list = bright_star_results['RAJ2000']\n",
    "dec_list = bright_star_results['DEJ2000']\n",
    "hd_list = bright_star_results['HD']\n",
    "sp_type_list = bright_star_results['SpType']\n",
    "\n",
    "# Define radius of circle to search for intersection in degrees\n",
    "radius = 0.01\n",
    "\n",
    "# Build a list of skycoords from star RA and Dec\n",
    "coords = [\n",
    "    SkyCoord(ra, dec, frame='icrs', unit=(u.hourangle, u.deg))\n",
    "    for ra, dec in zip(ra_list, dec_list)\n",
    "]\n",
    "\n",
    "# Define the instrument name, collection, and the product id string (using the wildcard operator for ADQL's LIKE)\n",
    "instrument_name = 'ESPaDOnS'\n",
    "collection = 'CFHT'\n",
    "product_id = '%i'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.3 Querying CADC using ADQL\n",
    "\n",
    "To query the CADC database, we will upload the bright_star_results table to CADC and perform a join on the uploaded table to the Plane and Observation tables, joining on the RA and Dec. Then we will execute the WHERE statements to refine our search results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from astropy.table import Column\n",
    "from astropy.io import votable\n",
    "\n",
    "# Uploading the table does not accept the '-' character so rename column B-V to remove it\n",
    "bright_star_results.rename_column('B-V', 'B_V')\n",
    "\n",
    "# Add RA and Dec columns that use the proper format for ADQL geometrical functions\n",
    "ra_column = Column([coord.ra.degree for coord in coords], name='RA')\n",
    "dec_column = Column([coord.dec.degree for coord in coords], name='DEC')\n",
    "bright_star_results.add_column(ra_column)\n",
    "bright_star_results.add_column(dec_column)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 467 ms, sys: 32.3 ms, total: 499 ms\n",
      "Wall time: 1min 53s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "from astropy.table import unique\n",
    "from astroquery.cadc import Cadc\n",
    "\n",
    "cadc = Cadc()\n",
    "\n",
    "column_list = ', '.join([\n",
    "    'star_results.HR AS HR', \n",
    "    'star_results.HD AS HD',\n",
    "    'star_results.SpType AS SpType', \n",
    "    'Observation.target_name AS target_name',\n",
    "    'Plane.productID AS productID',\n",
    "    'Plane.energy_bounds_samples AS energy_bounds_samples',\n",
    "    'Plane.dataRelease AS dataRelease', \n",
    "    'Plane.publisherID AS caomPublisherID'\n",
    "])\n",
    "\n",
    "# Now we build our dictionary of query parameters\n",
    "query_params = {\n",
    "    'instrument_name': instrument_name,\n",
    "    'radius': radius,\n",
    "    'collection': collection,\n",
    "    'prod_id': product_id,\n",
    "    'wavelength_lower': energy_bounds_m[0],\n",
    "    'wavelength_upper': energy_bounds_m[1],\n",
    "    'data_release': today,\n",
    "    'column_list': column_list,\n",
    "}\n",
    "\n",
    "query = '''SELECT {column_list} FROM tap_upload.bright_star_results as star_results \n",
    "JOIN caom2.Plane AS Plane\n",
    "ON (INTERSECTS( CIRCLE('ICRS', star_results.RA, star_results.DEC, {radius}), Plane.position_bounds ) = 1)\n",
    "JOIN caom2.Observation AS Observation ON Plane.obsID = Observation.obsID\n",
    "WHERE  ( Observation.instrument_name = '{instrument_name}'\n",
    "    AND Observation.collection = '{collection}' \n",
    "    AND Plane.productID LIKE '{prod_id}' \n",
    "    AND INTERSECTS( INTERVAL( {wavelength_lower}, {wavelength_upper} ), Plane.energy_bounds_samples ) = 1 \n",
    "    AND Plane.dataRelease <= '{data_release}'\n",
    "    AND ( Plane.quality_flag IS NULL OR Plane.quality_flag != 'junk' ) )\n",
    "'''.format(column_list, **query_params)\n",
    "\n",
    "espadons_results = cadc.exec_sync(\n",
    "    query, uploads={'bright_star_results': bright_star_results})\n",
    "espadons_results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that the CADC query is done, we will return the unique rows on the HR identifier. Additionally, we will add a column to the result that contains a link to a [CADC Advanced Search](https://www.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/en/search/) query result searching on the HD target. This will link to other ESPaDOnS data products on the same target."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of results before filtering on unique HR: 862\n",
      "Number of results after filtering on unique HR: 21\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792c\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >HR</th>        <th class=\"col_heading level0 col1\" >HD</th>        <th class=\"col_heading level0 col2\" >SpType</th>        <th class=\"col_heading level0 col3\" >target_name</th>        <th class=\"col_heading level0 col4\" >productID</th>        <th class=\"col_heading level0 col5\" >energy_bounds_samples</th>        <th class=\"col_heading level0 col6\" >dataRelease</th>        <th class=\"col_heading level0 col7\" >caomPublisherID</th>        <th class=\"col_heading level0 col8\" >Spectra</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792clevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow0_col0\" class=\"data row0 col0\" >39</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow0_col1\" class=\"data row0 col1\" >886</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow0_col2\" class=\"data row0 col2\" >B2IV</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow0_col3\" class=\"data row0 col3\" >hd 886</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow0_col4\" class=\"data row0 col4\" >1048298i</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow0_col5\" class=\"data row0 col5\" >[[3.6899011230500005e-07 1.04803515625e-06]]</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow0_col6\" class=\"data row0 col6\" >2009-04-30T00:00:00.000</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow0_col7\" class=\"data row0 col7\" >ivo://cadc.nrc.ca/CFHT?1048298/1048298i</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow0_col8\" class=\"data row0 col8\" ><a target=\"_blank\" href=\"http://www.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/en/search/?activateMAQ=true&Observation.intent=science&Plane.position.bounds@Shape1Resolver.value=ALL&Plane.position.bounds=HD%20886&Plane.energy.bounds.samples=6675..6682A&Observation.collection=CFHT&Observation.instrument.name=ESPaDOnS&Plane.calibrationLevel=2\">Spectra link</a></td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792clevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow1_col0\" class=\"data row1 col0\" >153</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow1_col1\" class=\"data row1 col1\" >3360</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow1_col2\" class=\"data row1 col2\" >B2IV</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow1_col3\" class=\"data row1 col3\" >hd 3360</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow1_col4\" class=\"data row1 col4\" >1050186i</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow1_col5\" class=\"data row1 col5\" >[[3.6908309936500003e-07 1.04806433105e-06]]</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow1_col6\" class=\"data row1 col6\" >2009-04-30T00:00:00.000</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow1_col7\" class=\"data row1 col7\" >ivo://cadc.nrc.ca/CFHT?1050186/1050186i</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow1_col8\" class=\"data row1 col8\" ><a target=\"_blank\" href=\"http://www.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/en/search/?activateMAQ=true&Observation.intent=science&Plane.position.bounds@Shape1Resolver.value=ALL&Plane.position.bounds=HD%203360&Plane.energy.bounds.samples=6675..6682A&Observation.collection=CFHT&Observation.instrument.name=ESPaDOnS&Plane.calibrationLevel=2\">Spectra link</a></td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792clevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow2_col0\" class=\"data row2 col0\" >542</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow2_col1\" class=\"data row2 col1\" >11415</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow2_col2\" class=\"data row2 col2\" >B3III</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow2_col3\" class=\"data row2 col3\" >HD 11415</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow2_col4\" class=\"data row2 col4\" >1168490i</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow2_col5\" class=\"data row2 col5\" >[[3.69754608154e-07 1.04804418945e-06]]</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow2_col6\" class=\"data row2 col6\" >2011-08-31T00:00:00.000</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow2_col7\" class=\"data row2 col7\" >ivo://cadc.nrc.ca/CFHT?1168490/1168490i</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow2_col8\" class=\"data row2 col8\" ><a target=\"_blank\" href=\"http://www.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/en/search/?activateMAQ=true&Observation.intent=science&Plane.position.bounds@Shape1Resolver.value=ALL&Plane.position.bounds=HD%2011415&Plane.energy.bounds.samples=6675..6682A&Observation.collection=CFHT&Observation.instrument.name=ESPaDOnS&Plane.calibrationLevel=2\">Spectra link</a></td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792clevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow3_col0\" class=\"data row3 col0\" >779</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow3_col1\" class=\"data row3 col1\" >16582</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow3_col2\" class=\"data row3 col2\" >B2IV</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow3_col3\" class=\"data row3 col3\" >hd 16582</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow3_col4\" class=\"data row3 col4\" >1048322i</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow3_col5\" class=\"data row3 col5\" >[[3.6899841308600005e-07 1.0480587158200001e-06]]</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow3_col6\" class=\"data row3 col6\" >2009-04-30T00:00:00.000</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow3_col7\" class=\"data row3 col7\" >ivo://cadc.nrc.ca/CFHT?1048322/1048322i</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow3_col8\" class=\"data row3 col8\" ><a target=\"_blank\" href=\"http://www.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/en/search/?activateMAQ=true&Observation.intent=science&Plane.position.bounds@Shape1Resolver.value=ALL&Plane.position.bounds=HD%2016582&Plane.energy.bounds.samples=6675..6682A&Observation.collection=CFHT&Observation.instrument.name=ESPaDOnS&Plane.calibrationLevel=2\">Spectra link</a></td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792clevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow4_col0\" class=\"data row4 col0\" >811</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow4_col1\" class=\"data row4 col1\" >17081</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow4_col2\" class=\"data row4 col2\" >B7V</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow4_col3\" class=\"data row4 col3\" >HD 17081</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow4_col4\" class=\"data row4 col4\" >781666i</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow4_col5\" class=\"data row4 col5\" >[[3.69087402344e-07 1.0480628662100002e-06]]</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow4_col6\" class=\"data row4 col6\" >2006-08-31T00:00:00.000</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow4_col7\" class=\"data row4 col7\" >ivo://cadc.nrc.ca/CFHT?781666/781666i</td>\n",
       "                        <td id=\"T_03906c4c_b24d_11e9_b972_8bbe6f78792crow4_col8\" class=\"data row4 col8\" ><a target=\"_blank\" href=\"http://www.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/en/search/?activateMAQ=true&Observation.intent=science&Plane.position.bounds@Shape1Resolver.value=ALL&Plane.position.bounds=HD%2017081&Plane.energy.bounds.samples=6675..6682A&Observation.collection=CFHT&Observation.instrument.name=ESPaDOnS&Plane.calibrationLevel=2\">Spectra link</a></td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f3084801f28>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from IPython.display import HTML\n",
    "\n",
    "\n",
    "def make_clickable(val):\n",
    "    # Target _blank to open new window\n",
    "    return '<a target=\"_blank\" href=\"{0}\">{1}</a>'.format(val, 'Spectra link')\n",
    "\n",
    "\n",
    "# Get unique results on HR and convert to pandas dataframe\n",
    "unique_espadons_results = unique(espadons_results, keys='HR').to_pandas()\n",
    "str_cols = [\n",
    "    'SpType', 'target_name', 'productID', 'dataRelease', 'caomPublisherID'\n",
    "]\n",
    "str_results = unique_espadons_results[str_cols].stack().str.decode(\n",
    "    'utf-8').unstack()\n",
    "for col in str_results:\n",
    "    unique_espadons_results[col] = str_results[col]\n",
    "\n",
    "# Build the spectra query column\n",
    "spectra_query_url = (\n",
    "    'http://www.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/en/search/?activateMAQ=true&'\n",
    "    'Observation.intent=science&Plane.position.bounds@Shape1Resolver.value=ALL&'\n",
    "    'Plane.position.bounds=HD%20{}&Plane.energy.bounds.samples=6675..6682A&'\n",
    "    'Observation.collection=CFHT&Observation.instrument.name=ESPaDOnS&'\n",
    "    'Plane.calibrationLevel=2')\n",
    "\n",
    "unique_espadons_results['Spectra'] = [\n",
    "    spectra_query_url.format(hd) for hd in unique_espadons_results['HD']\n",
    "]\n",
    "\n",
    "print(\"Number of results before filtering on unique HR: {}\".format(\n",
    "    len(espadons_results)))\n",
    "print(\"Number of results after filtering on unique HR: {}\".format(\n",
    "    len(unique_espadons_results)))\n",
    "\n",
    "unique_espadons_results.head().style.format({'Spectra': make_clickable})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Fetching Data\n",
    "The purpose of the next block of code is to build the spectral cutout data access url for each of the data products. To do this, we use the datalink service, find the cutout definition, grab the access url, and append the cutout parameters to it. The result is a list of access urls with cutouts. We use the [pyvo library](https://pyvo.readthedocs.io/en/latest/) to access the Datalink service. This library is made for use with IVOA services."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sample cutout url: https://www.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/caom2ops/sync?ID=ad%3ACFHT%2F1048298i.fits.gz&BAND=6.675000000000001e-07+6.682e-07\n"
     ]
    }
   ],
   "source": [
    "from pyvo.dal.adhoc import DatalinkResults\n",
    "from six.moves.urllib.parse import urlencode\n",
    "\n",
    "cutout_urls = []\n",
    "cutout_params = {\n",
    "    'BAND': '{} {}'.format(energy_bounds_m[0], energy_bounds_m[1])\n",
    "}\n",
    "datalink_url = 'https://www.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/caom2ops/datalink'\n",
    "publisher_ids = unique_espadons_results['caomPublisherID']\n",
    "\n",
    "for pid in publisher_ids:\n",
    "\n",
    "    # Get datalink results\n",
    "    datalink_results = DatalinkResults.from_result_url('{}?{}'.format(\n",
    "        datalink_url, urlencode({'ID': pid})))\n",
    "\n",
    "    # Get the first cutout service definition\n",
    "    service_def = next(datalink_results.bysemantics('#cutout'))\n",
    "\n",
    "    access_url = service_def.access_url.decode('ascii')\n",
    "    service_params = service_def.input_params\n",
    "    input_params = next({param.name: param.value} for param in service_params\n",
    "                        if param.name == 'ID')\n",
    "    input_params.update(cutout_params)\n",
    "    cutout_urls.append('{}?{}'.format(access_url, urlencode(input_params)))\n",
    "\n",
    "print('Sample cutout url: {}'.format(cutout_urls[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we use the access urls to access the fits files and retrieve the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "from astropy.io import fits\n",
    "\n",
    "data_list = []\n",
    "verbose = False\n",
    "\n",
    "for url in cutout_urls:\n",
    "    with fits.open(url) as hdulist:\n",
    "        if verbose:\n",
    "            hdulist.info()\n",
    "        data = hdulist[0].data\n",
    "        data_list.append(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Plotting Results\n",
    "Now with access to the data, we can begin to plot the spectra."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import math\n",
    "\n",
    "line_identifications = [(r'H$\\alpha$', 6562.8), ('C II', 6578.05), ('C II', 6582.88),\n",
    "                        ('N II', 6610.56), ('He I', 6678.1517)]\n",
    "\n",
    "\n",
    "def plot_spectra(data_list, hd_list, sp_list):\n",
    "    cols = 2\n",
    "    rows = math.ceil(len(data_list) / cols)\n",
    "    ylim = (0.2, 1.2)\n",
    "    xlim = (6525, 6700)\n",
    "    fig, axes = plt.subplots(rows,\n",
    "                             cols,\n",
    "                             figsize=(15, 20),\n",
    "                             sharex=False,\n",
    "                             sharey=True)\n",
    "    plt.setp(axes, ylim=ylim, xlim=xlim)\n",
    "    for data, hd_name, sp_type, ax in zip(data_list, hd_list, sp_list,\n",
    "                                          axes.flatten()):\n",
    "        ax.plot(data[0] * 10, data[1])\n",
    "\n",
    "        for element, wavelength in line_identifications:\n",
    "            ax.axvline(x=wavelength, c='black', ls='--', alpha=0.5)\n",
    "            ax.text(wavelength + 3, ylim[0] + 0.11, element, rotation=75)\n",
    "\n",
    "        ax.set_title('Name: HD {}     Spec Type: {}'.format(hd_name, sp_type))\n",
    "        ax.set_xlabel(r'Wavelength ($\\AA$)')\n",
    "        ax.set_ylabel('Relative Intensity')\n",
    "\n",
    "    fig.suptitle('Intensity Spectrum', y=0.92, fontsize=18)\n",
    "    plt.subplots_adjust(hspace=0.5)\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "nsubplots = 10\n",
    "hd_list = unique_espadons_results['HD']\n",
    "sp_list = unique_espadons_results['SpType']\n",
    "plot_spectra(data_list[:nsubplots], hd_list[:nsubplots], sp_list[:nsubplots])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}