CDS services in Jupyter notebooks

CDS services in Jupyter notebooks#

Katarina A. Lutz¹, Manon Marchand¹

Université de Strasbourg, CNRS, Observatoire Astronomique de Strasbourg, UMR 7550, F-67000, Strasbourg, France

Introduction#

Welcome to a Jupyter notebook demonstrating how to access some of the services provided by the Strasbourg astronomical Data Center (CDS) with Python.

In this tutorial, we will:

gather information on a specific object using ,
visualise it through survey images using the Lite widget,
find and download a catalogue from ,
overlay the sources of this catalog on the sky view in the Aladin Lite widget,
cross-match the sources with a large catalogue using .

# Astronomy tools
import astropy.units as u

# Access astronomical databases
from astroquery.simbad import Simbad
from astroquery.vizier import Vizier
from astroquery.xmatch import XMatch

# Sky visualization
from ipyaladin import Aladin

Step #1: Gather information on NGC4038#

As a first step, we check what information is directly available from the Simbad python module. We can look at the methods available for the Simbad class with the help() command:

help(Simbad)

Help on SimbadClass in module astroquery.simbad.core object:

class SimbadClass(SimbadBaseQuery)
 |  The class for querying the Simbad web service.
 |  
 |  Note that SIMBAD suggests submitting no more than 6 queries per second; if
 |  you submit more than that, your IP may be temporarily blacklisted
 |  (http://simbad.u-strasbg.fr/simbad/sim-help?Page=sim-url)
 |  
 |  Method resolution order:
 |      SimbadClass
 |      SimbadBaseQuery
 |      astroquery.query.BaseQuery
 |      builtins.object
 |  
 |  Methods defined here:
 |  
 |  __init__(self)
 |      Initialize self.  See help(type(self)) for accurate signature.
 |  
 |  add_votable_fields(self, *args)
 |      Sets fields to be fetched in the VOTable. Must be one of those listed
 |      by `list_votable_fields`.
 |      
 |      Parameters
 |      ----------
 |      list of field_names
 |  
 |  get_field_description(self, field_name)
 |      Displays a description of the VOTable field.
 |      
 |      Parameters
 |      ----------
 |      field_name : str
 |          the name of the field to describe. Must be one of those listed
 |          by `list_votable_fields`.
 |      
 |      Examples
 |      --------
 |      >>> from astroquery.simbad import Simbad
 |      >>> Simbad.get_field_description('main_id')
 |      main identifier of an astronomical object. It is the same as id(1)
 |      >>> Simbad.get_field_description('bibcodelist(y1-y2)')
 |      number of references. The parameter is optional and limit the count to
 |      the references between the years y1 and y2
 |  
 |  get_votable_fields(self)
 |      Display votable fields
 |      
 |      Examples
 |      --------
 |      >>> from astroquery.simbad import Simbad
 |      >>> Simbad.get_votable_fields()
 |      ['main_id', 'coordinates']
 |  
 |  list_votable_fields(self)
 |      Lists all the fields that can be fetched for a VOTable.
 |      
 |      Examples
 |      --------
 |      >>> from astroquery.simbad import Simbad
 |      >>> Simbad.list_votable_fields()
 |      --NOTES--...
 |  
 |  list_wildcards(self)
 |      Displays the available wildcards that may be used in Simbad queries and
 |      their usage.
 |      
 |      Examples
 |      --------
 |      >>> from astroquery.simbad import Simbad
 |      >>> Simbad.list_wildcards()
 |      * : Any string of characters (including an empty one)...
 |      
 |      [^0-9] : Any (one) character not in the list.
 |      
 |      ? : Any character (exactly one character)
 |      
 |      [abc] : Exactly one character taken in the list.
 |              Can also be defined by a range of characters: [A-Z]
 |  
 |  query_bibcode(self, bibcode, wildcard=False, verbose=False, cache=True, get_query_payload=False)
 |      Queries the references corresponding to a given bibcode, and returns
 |      the results in a `~astropy.table.Table`. Wildcards may be used to
 |      specify bibcodes.
 |      
 |      Parameters
 |      ----------
 |      bibcode : str
 |          the bibcode of the article
 |      wildcard : boolean, optional
 |          When it is set to `True` it implies that the object is specified
 |          with wildcards. Defaults to `False`.
 |      get_query_payload : bool, optional
 |          When set to `True` the method returns the HTTP request parameters.
 |          Defaults to `False`.
 |      
 |      Returns
 |      -------
 |      table : `~astropy.table.Table`
 |          Query results table
 |  
 |  query_bibcode_async(self, bibcode, wildcard=False, cache=True, get_query_payload=False)
 |      Serves the same function as `query_bibcode`, but
 |      only collects the response from the Simbad server and returns.
 |      
 |      Parameters
 |      ----------
 |      bibcode : str
 |          the bibcode of the article
 |      wildcard : boolean, optional
 |          When it is set to `True` it implies that the object is specified
 |          with wildcards. Defaults to `False`.
 |      get_query_payload : bool, optional
 |          When set to `True` the method returns the HTTP request parameters.
 |          Defaults to `False`.
 |      
 |      Returns
 |      -------
 |      response : `requests.Response`
 |           Response of the query from the server.
 |  
 |  query_bibobj(self, bibcode, verbose=False, get_query_payload=False)
 |      Query all the objects that are contained in the article specified by
 |      the bibcode, and return results as a `~astropy.table.Table`.
 |      
 |      Parameters
 |      ----------
 |      bibcode : str
 |          the bibcode of the article
 |      get_query_payload : bool, optional
 |          When set to `True` the method returns the HTTP request parameters.
 |          Defaults to `False`.
 |      
 |      Returns
 |      -------
 |      table : `~astropy.table.Table`
 |          Query results table
 |  
 |  query_bibobj_async(self, bibcode, cache=True, get_query_payload=False)
 |      Serves the same function as `query_bibobj`, but only collects the
 |      response from the Simbad server and returns.
 |      
 |      Parameters
 |      ----------
 |      bibcode : str
 |          the bibcode of the article
 |      get_query_payload : bool, optional
 |          When set to `True` the method returns the HTTP request parameters.
 |          Defaults to `False`.
 |      
 |      Returns
 |      -------
 |      response : `requests.Response`
 |           Response of the query from the server.
 |  
 |  query_catalog(self, catalog, verbose=False, cache=True, get_query_payload=False)
 |      Queries a whole catalog.
 |      
 |      Results may be very large -number of rows
 |      should be controlled by configuring `SimbadClass.ROW_LIMIT`.
 |      
 |      Parameters
 |      ----------
 |      catalog : str
 |          the name of the catalog.
 |      get_query_payload : bool, optional
 |          When set to `True` the method returns the HTTP request parameters.
 |          Defaults to `False`.
 |      
 |      Returns
 |      -------
 |      table : `~astropy.table.Table`
 |          Query results table
 |  
 |  query_catalog_async(self, catalog, cache=True, get_query_payload=False)
 |      Serves the same function as `query_catalog`, but
 |      only collects the response from the Simbad server and returns.
 |      
 |      Parameters
 |      ----------
 |      catalog : str
 |          the name of the catalog.
 |      get_query_payload : bool, optional
 |          When set to `True` the method returns the HTTP request parameters.
 |          Defaults to `False`.
 |      
 |      Returns
 |      -------
 |      response : `requests.Response`
 |           Response of the query from the server.
 |  
 |  query_criteria(self, *args, **kwargs)
 |      Query SIMBAD based on any criteria.
 |      
 |      Parameters
 |      ----------
 |      args:
 |          String arguments passed directly to SIMBAD's script
 |          (e.g., 'region(box, GAL, 10.5 -10.5, 0.5d 0.5d)')
 |      kwargs:
 |          Keyword / value pairs passed to SIMBAD's script engine
 |          (e.g., {'otype':'SNR'} will be rendered as otype=SNR)
 |      
 |      Returns
 |      -------
 |      table : `~astropy.table.Table`
 |          Query results table
 |  
 |  query_criteria_async(self, *args, **kwargs)
 |      Query SIMBAD based on any criteria.
 |      
 |      Parameters
 |      ----------
 |      args:
 |          String arguments passed directly to SIMBAD's script
 |          (e.g., 'region(box, GAL, 10.5 -10.5, 0.5d 0.5d)')
 |      kwargs:
 |          Keyword / value pairs passed to SIMBAD's script engine
 |          (e.g., {'otype':'SNR'} will be rendered as otype=SNR)
 |      cache : bool
 |          Cache the query?
 |      
 |      Returns
 |      -------
 |      response : `requests.Response`
 |          Response of the query from the server
 |  
 |  query_object(self, object_name, wildcard=False, verbose=False, get_query_payload=False)
 |      Queries Simbad for the given object and returns the result as a
 |      `~astropy.table.Table`. Object names may also be specified with
 |      wildcard.  See examples below.
 |      
 |      Parameters
 |      ----------
 |      object_name : str
 |          name of object to be queried
 |      wildcard : boolean, optional
 |          When it is set to `True` it implies that the object is specified
 |          with wildcards. Defaults to `False`.
 |      get_query_payload : bool, optional
 |          When set to `True` the method returns the HTTP request parameters.
 |          Defaults to `False`.
 |      
 |      Returns
 |      -------
 |      table : `~astropy.table.Table`
 |          Query results table
 |  
 |  query_object_async(self, object_name, wildcard=False, cache=True, get_query_payload=False)
 |      Serves the same function as `query_object`, but
 |      only collects the response from the Simbad server and returns.
 |      
 |      Parameters
 |      ----------
 |      object_name : str
 |          name of object to be queried
 |      wildcard : boolean, optional
 |          When it is set to `True` it implies that the object is specified
 |          with wildcards. Defaults to `False`.
 |      get_query_payload : bool, optional
 |          When set to `True` the method returns the HTTP request parameters.
 |          Defaults to `False`.
 |      
 |      Returns
 |      -------
 |      response : `requests.Response`
 |          Response of the query from the server
 |  
 |  query_objectids(self, object_name, verbose=False, cache=True, get_query_payload=False)
 |      Query Simbad with an object name, and return a table of all
 |      names associated with that object in a `~astropy.table.Table`.
 |      
 |      Parameters
 |      ----------
 |      object_name : str
 |          name of object to be queried
 |      get_query_payload : bool, optional
 |          When set to `True` the method returns the HTTP request parameters.
 |          Defaults to `False`.
 |      
 |      Returns
 |      -------
 |      table : `~astropy.table.Table`
 |          Query results table
 |  
 |  query_objectids_async(self, object_name, cache=True, get_query_payload=False)
 |      Serves the same function as `query_objectids`, but
 |      only collects the response from the Simbad server and returns.
 |      
 |      Parameters
 |      ----------
 |      object_name : str
 |          name of object to be queried
 |      
 |      Returns
 |      -------
 |      response : `requests.Response`
 |           Response of the query from the server.
 |  
 |  query_objects(self, object_names, wildcard=False, verbose=False, get_query_payload=False)
 |      Queries Simbad for the specified list of objects and returns the
 |      results as a `~astropy.table.Table`. Object names may be specified
 |      with wildcards if desired.
 |      
 |      Parameters
 |      ----------
 |      object_names : sequence of strs
 |          names of objects to be queried
 |      wildcard : boolean, optional
 |          When `True`, the names may have wildcards in them. Defaults to
 |          `False`.
 |      get_query_payload : bool, optional
 |          When set to `True` the method returns the HTTP request parameters.
 |          Defaults to `False`.
 |      
 |      Returns
 |      -------
 |      table : `~astropy.table.Table`
 |          Query results table
 |  
 |  query_objects_async(self, object_names, wildcard=False, cache=True, get_query_payload=False)
 |      Same as `query_objects`, but only collects the response from the
 |      Simbad server and returns.
 |      
 |      Parameters
 |      ----------
 |      object_names : sequence of strs
 |          names of objects to be queried
 |      wildcard : boolean, optional
 |          When `True`, the names may have wildcards in them. Defaults to
 |          `False`.
 |      get_query_payload : bool, optional
 |          When set to `True` the method returns the HTTP request parameters.
 |          Defaults to `False`.
 |      
 |      Returns
 |      -------
 |      response : `requests.Response`
 |          Response of the query from the server
 |  
 |  query_region(self, *args, **kwargs)
 |      Queries the service and returns a table object.
 |      
 |      Serves the same function as `query_region`, but
 |      only collects the response from the Simbad server and returns.
 |      
 |      Parameters
 |      ----------
 |      coordinates : str or `astropy.coordinates` object
 |          the identifier or coordinates around which to query.
 |      radius : str or `~astropy.units.Quantity`, optional
 |          the radius of the region. If missing, set to default
 |          value of 2 arcmin.
 |      equinox : float, optional
 |          the equinox of the coordinates. If missing set to
 |          default 2000.0.
 |      epoch : str, optional
 |          the epoch of the input coordinates. Must be specified as
 |          [J|B] <epoch>. If missing, set to default J2000.
 |      get_query_payload : bool, optional
 |          When set to `True` the method returns the HTTP request parameters.
 |          Defaults to `False`.
 |      
 |      Returns
 |      -------
 |      table : A `~astropy.table.Table` object.
 |  
 |  query_region_async(self, coordinates, radius=<Quantity 2. arcmin>, equinox=2000.0, epoch='J2000', cache=True, get_query_payload=False)
 |      Serves the same function as `query_region`, but
 |      only collects the response from the Simbad server and returns.
 |      
 |      Parameters
 |      ----------
 |      coordinates : str or `astropy.coordinates` object
 |          the identifier or coordinates around which to query.
 |      radius : str or `~astropy.units.Quantity`, optional
 |          the radius of the region. If missing, set to default
 |          value of 2 arcmin.
 |      equinox : float, optional
 |          the equinox of the coordinates. If missing set to
 |          default 2000.0.
 |      epoch : str, optional
 |          the epoch of the input coordinates. Must be specified as
 |          [J|B] <epoch>. If missing, set to default J2000.
 |      get_query_payload : bool, optional
 |          When set to `True` the method returns the HTTP request parameters.
 |          Defaults to `False`.
 |      
 |      Returns
 |      -------
 |      response : `requests.Response`
 |           Response of the query from the server.
 |  
 |  remove_votable_fields(self, *args, **kwargs)
 |      Removes the specified field names from ``SimbadClass._VOTABLE_FIELDS``
 |      
 |      Parameters
 |      ----------
 |      list of field_names to be removed
 |      strip_params: bool
 |          If true, strip the specified keywords before removing them:
 |          e.g., ra(foo) would remove ra(bar) if this is True
 |  
 |  reset_votable_fields(self)
 |      resets VOTABLE_FIELDS to defaults
 |  
 |  ----------------------------------------------------------------------
 |  Data and other attributes defined here:
 |  
 |  ROW_LIMIT = 0
 |  
 |  SIMBAD_URL = 'http://simbad.u-strasbg.fr/simbad/sim-script'
 |  
 |  TIMEOUT = 60
 |  
 |  WILDCARDS = {'*': 'Any string of characters (including an empty one)',...
 |  
 |  __abstractmethods__ = frozenset()
 |  
 |  ----------------------------------------------------------------------
 |  Methods inherited from astroquery.query.BaseQuery:
 |  
 |  __call__(self, *args, **kwargs)
 |      init a fresh copy of self
 |  
 |  ----------------------------------------------------------------------
 |  Data descriptors inherited from astroquery.query.BaseQuery:
 |  
 |  __dict__
 |      dictionary for instance variables (if defined)
 |  
 |  __weakref__
 |      list of weak references to the object (if defined)

Feel free to explore these methods. But in the next cell, let’s print the results of list_votable_fields

print(Simbad.list_votable_fields())

--NOTES--

1. The parameter filtername must correspond to an existing filter. Filters include: B,V,R,I,J,K.  They are checked by SIMBAD but not astroquery.simbad

2. Fields beginning with rvz display the data as it is in the database. Fields beginning with rv force the display as a radial velocity. Fields beginning with z force the display as a redshift

3. For each measurement catalog, the VOTable contains all fields of the first measurement. When applicable, the first measurement is the mean one. 

Available VOTABLE fields:

bibcodelist(y1-y2)
biblio
cel
cl.g
coo(opt)
coo_bibcode
coo_err_angle
coo_err_maja
coo_err_mina
coo_qual
coo_wavelength
coordinates
dec(opt)
dec_prec
diameter
dim
dim_angle
dim_bibcode
dim_incl
dim_majaxis
dim_minaxis
dim_qual
dim_wavelength
dimensions
distance
distance_result
einstein
fe_h
flux(filtername)
flux_bibcode(filtername)
flux_error(filtername)
flux_name(filtername)
flux_qual(filtername)
flux_system(filtername)
flux_unit(filtername)
fluxdata(filtername)
gcrv
gen
gj
hbet
hbet1
hgam
id(opt)
ids
iras
irc
iso
iue
jp11
link_bibcode
main_id
measurements
membership
mesplx
mespm
mk
morphtype
mt
mt_bibcode
mt_qual
otype
otype(opt)
otypes
parallax
plx
plx_bibcode
plx_error
plx_prec
plx_qual
pm
pm_bibcode
pm_err_angle
pm_err_maja
pm_err_mina
pm_qual
pmdec
pmdec_prec
pmra
pmra_prec
pos
posa
propermotions
ra(opt)
ra_prec
rot
rv_value
rvz_bibcode
rvz_error
rvz_qual
rvz_radvel
rvz_type
rvz_wavelength
sao
sp
sp_bibcode
sp_nature
sp_qual
sptype
td1
typed_id
ubv
uvby
uvby1
v*
velocity
xmm
z_value
For more information on a field:
Simbad.get_field_description ('field_name') 
Currently active VOTABLE fields:
 ['main_id', 'coordinates']
None

We get a list of the available fields we could query to obtain in a table. If we are uncertain about the meaning of a field, we can get a description with Simbad.get_field_description('field_name').

Scrolling the output of the cell above we also learn that the currently active fields are the main_id and the coordinates. If we want more information, we need to request it specifically. We can do so by running Simbad.add_votable_fields('field_name') before querying the object:

Simbad.get_field_description("biblio")

all bibcodes of an astronomical object separated with a ipipe

Simbad.reset_votable_fields()
Simbad.add_votable_fields("otype", "otypes", "dim", "dim_bibcode", "biblio")
info_simbad = Simbad.query_object("NGC4038")
info_simbad

Table length=1

MAIN_ID	RA	DEC	RA_PREC	DEC_PREC	COO_ERR_MAJA	COO_ERR_MINA	COO_ERR_ANGLE	COO_QUAL	COO_WAVELENGTH	COO_BIBCODE	OTYPE	OTYPES	GALDIM_MAJAXIS	GALDIM_MINAXIS	GALDIM_ANGLE	GALDIM_BIBCODE	BIBLIO	SCRIPT_NUMBER_ID
	"h:m:s"	"d:m:s"			mas	mas	deg						arcmin	arcmin	deg
object	str13	str13	int16	int16	float32	float32	int16	str1	str1	object	object	object	float32	float32	int16	object	object	int32
NGC 4038	12 01 53.002	-18 52 03.32	7	7	--	--	0	C	I	2006AJ....131.1163S	EmissionG	HI\|GiP\|EmG\|AG?\|G\|G\|IG\|PaG\|Rad	5.2	3.1	80	2007ApJS..173..185G	2023A&A...671A..59I\|2023A&A...672A.187J\|2023A&A...678A..26C\|2023AJ....165..240G\|2023ApJ...942L..13L\|2023ApJ...945...42B\|2023ApJ...954L..31S\|2023MNRAS.520.5110P\|2022A&A...659A.173E\|2022A&A...665A.137S\|2022A&A...667A..11C\|2022ApJ...925..175S\|2022ApJ...928..151F\|2022ApJ...930..146W\|2022ApJ...932...15A\|2022ApJ...932...27B\|2022ApJ...934L...7R\|2022ApJ...936...92L\|2022ApJ...937..120W\|2022ApJ...940...32B\|2022ApJS..258...29C\|2022ApJS..263...17G\|2022MNRAS.511..800A\|2022MNRAS.512.1541G\|2022MNRAS.512.3195Z\|2022MNRAS.515.3555P\|2022MNRAS.516.5507N\|2022PASJ...74..343K\|2021A&A...647A..72K\|2021AJ....161...93D\|2021ApJ...908...75B\|2021ApJ...923..197P\|2021ApJS..257...35C\|2021MNRAS.500.2076G\|2021MNRAS.501..866M\|2021PASJ...73..417T\|2020A&A...635A.131I\|2020ApJ...898...75I\|2020ApJ...898...83D\|2020ApJ...900..124B\|2020ApJ...901..143U\|2020ApJ...901L..20B\|2020MNRAS.492..993C\|2020MNRAS.494.1784A\|2020MNRAS.495.1073D\|2020MNRAS.497.3860G\|2020MNRAS.498.1651B\|2020MNRAS.499....1F\|2020MNRAS.499.4325R\|2020RAA....20..189A\|2019A&A...622A.132M\|2019A&A...623A...5D\|2019A&A...624A.138Y\|2019A&A...625A..65R\|2019A&A...631A.165A\|2019AJ....157..131B\|2019ApJ...872...16D\|2019ApJ...877....7W\|2019ApJ...878..161J\|2019ApJ...880..127J\|2019ApJ...881..119P\|2019ApJ...882...34F\|2019ApJ...887..106A\|2019ApJS..241...38S\|2019ApJS..244...24L\|2019MNRAS.482.2878V\|2019MNRAS.490..848D\|2019MNRAS.490.1539R\|2018A&A...609A..37C\|2018A&A...609A.134S\|2018A&A...609A.136T\|2018A&A...611A..55K\|2018A&A...611A..95W\|2018A&A...613A..35K\|2018A&A...614A..32W\|2018A&A...615A..33M\|2018AJ....155...17C\|2018ApJ...861...94H\|2018ApJ...864...40P\|2018ApJ...864..123M\|2018ApJ...869...56B\|2018ApJS..234...18B\|2018ApJS..234...35Z\|2018ApJS..237...36P\|2018MNRAS.474..779G\|2018MNRAS.475.3934L\|2018MNRAS.476.2629M\|2018MNRAS.479..517P\|2018MNRAS.481.1212R\|2018Natur.563..214K\|2017A&A...597A..28B\|2017A&A...600A.139H\|2017A&A...602A...4D\|2017A&A...602A...9C\|2017A&A...603A.119H\|2017AJ....154...70W\|2017AJ....154..211K\|2017ApJ...835...28J\|2017ApJ...835..223S\|2017ApJ...836..101C\|2017ApJ...837..120G\|2017ApJ...839...88K\|2017ApJ...840....8S\|2017ApJ...841...43E\|2017ApJ...842..131S\|2017ApJ...843...16K\|2017ApJ...843...91L\|2017ApJ...846....5L\|2017MNRAS.464.1003B\|2017MNRAS.464.3315A\|2017MNRAS.466.3442J\|2017MNRAS.468..492P\|2017MNRAS.470.4989S\|2017MNRAS.471.2254Z\|2017PASJ...69....6U\|2017PASJ...69...18T\|2017PASJ...69...66K\|2016A&A...585A.142P\|2016A&A...587A..45H\|2016A&A...587A..72B\|2016A&A...587A.147A\|2016A&A...587A.160D\|2016A&A...588A..14T\|2016A&A...593A..43V\|2016A&A...593A..89R\|2016A&ARv..24....4B\|2016AJ....152...50T\|2016ApJ...821..119C\|2016ApJ...823...87S\|2016ApJ...826...56R\|2016ApJ...829...20W\|2016ApJ...829...93K\|2016ApJ...830...10H\|2016ApJ...833..231T\|2016MNRAS.457.1107H\|2016MNRAS.458..158D\|2016MNRAS.458..988R\|2016MNRAS.458.3968P\|2016MNRAS.459..720H\|2016MNRAS.461.3001T\|2016MNRAS.462...92J\|2016PASJ...68R...1H\|2015A&A...578A..95I\|2015A&A...579A..44D\|2015AJ....150...43T\|2015ApJ...802...20R\|2015ApJ...802...81M\|2015ApJ...805...31L\|2015ApJ...812..118A\|2015ApJ...812..160L\|2015ApJ...815..103B\|2015ApJS..217...32B\|2015ApJS..219....4S\|2015ApJS..220....6B\|2015ApJS..220....9F\|2015MNRAS.446.2038R\|2015MNRAS.447.3639M\|2015MNRAS.448.1107M\|2015MNRAS.449.1309G\|2015MNRAS.451.1307Z\|2015MNRAS.452..246A\|2015MNRAS.453.2885R\|2015MNRAS.454.3816C\|2015RAA....15..785L\|2014A&A...568A..62D\|2014A&A...568A..66M\|2014A&A...568A.122Z\|2014A&A...569A..91K\|2014A&ARv..22...77B\|2014AJ....147....5R\|2014AJ....147...78W\|2014AJ....147...99M\|2014AJ....148..130A\|2014ApJ...780...19R\|2014ApJ...780...36F\|2014ApJ...781...12H\|2014ApJ...781..101S\|2014ApJ...782...97A\|2014ApJ...785...39L\|2014ApJ...787..103H\|2014ApJ...789..124D\|2014ApJ...790..122T\|2014ApJ...795..156W\|2014ApJ...795..174K\|2014ApJS..213...19B\|2014AstL...40...11T\|2014MNRAS.440..821B\|2014MNRAS.440.1138E\|2014MNRAS.441.3570G\|2014MNRAS.443..111B\|2014MNRAS.443.1849S\|2014MNRAS.444.3015L\|2014MNRAS.445.1412Z\|2013A&A...549A.136T\|2013AJ....145...27Z\|2013AJ....146...30K\|2013AJ....146...86T\|2013ARA&A..51..207B\|2013ATel.5162....1E\|2013ApJ...765..141N\|2013ApJ...767...72R\|2013ApJ...768...90L\|2013ApJ...768..194M\|2013ApJ...770...29C\|2013ApJ...771..120P\|2013ApJ...777..126S\|2013ApJ...779...38P\|2013MNRAS.429.1858D\|2013MNRAS.431.1252B\|2013MNRAS.431L..83R\|2013MNRAS.432..506P\|2013MNRAS.434..696K\|2013MNRAS.434.2866F\|2013MNRAS.435..809A\|2013MNRAS.436..774E\|2013MNRAS.436.2852B\|2013MNRAS.436.3464K\|2013MNRAS.436L.109E\|2013PASJ...65...20K\|2012A&A...538L...9H\|2012A&A...539A..77V\|2012A&A...543A..61B\|2012A&A...545A..69W\|2012A&A...547A..17M\|2012A&A...547A..65B\|2012A&ARv..20...50G\|2012AJ....144..125M\|2012AJ....144..156K\|2012ApJ...745...65U\|2012ApJ...746...28Z\|2012ApJ...748..102T\|2012ApJ...750..136W\|2012ApJ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We now know the main object type of NGC4038: “Emission line Galaxy” EmG. We can also read the object dimensions (major axis GALDIM_MAJAXIS, minor axis GALDIM_MINAXIS, inclination angle GALDIM_ANGLE), and the related bibliographic reference. We can also see the full list of object types attributed to NGC4038 (ex: HI HI (21cm) Source, G Galaxy, GiP Galaxy in Pair, Rad Radio Source…). This comes from the fact that an object can have a lot of descriptions, a galaxy can very well also be a radio source. The descriptions and relations between object types can be explored on Simbad’s webpages.

As we saw that NGC4038 is a galaxy in a pair, let’s search for its linked object: we query sources in a circle of 2 arcmin around NGC4038 of the same object type to find the other galaxy of the pair; then we query sources in the same area with 100% membership probability.

siblings = Simbad.query_criteria("region(circle, NGC4038, 2m)", otype="GiP")
siblings

Table length=2

MAIN_ID	RA	DEC	RA_PREC	DEC_PREC	COO_ERR_MAJA	COO_ERR_MINA	COO_ERR_ANGLE	COO_QUAL	COO_WAVELENGTH	COO_BIBCODE	OTYPE	OTYPES	GALDIM_MAJAXIS	GALDIM_MINAXIS	GALDIM_ANGLE	GALDIM_BIBCODE	BIBLIO	SCRIPT_NUMBER_ID
	"h:m:s"	"d:m:s"			mas	mas	deg						arcmin	arcmin	deg
object	str13	str13	int16	int16	float32	float32	int16	str1	str1	object	object	object	float32	float32	int16	object	object	int32
NGC 4038	12 01 53.002	-18 52 03.32	7	7	--	--	0	C	I	2006AJ....131.1163S	EmissionG	HI\|GiP\|EmG\|AG?\|G\|G\|IG\|PaG\|Rad	5.2	3.1	80	2007ApJS..173..185G	2023A&A...671A..59I\|2023A&A...672A.187J\|2023A&A...678A..26C\|2023AJ....165..240G\|2023ApJ...942L..13L\|2023ApJ...945...42B\|2023ApJ...954L..31S\|2023MNRAS.520.5110P\|2022A&A...659A.173E\|2022A&A...665A.137S\|2022A&A...667A..11C\|2022ApJ...925..175S\|2022ApJ...928..151F\|2022ApJ...930..146W\|2022ApJ...932...15A\|2022ApJ...932...27B\|2022ApJ...934L...7R\|2022ApJ...936...92L\|2022ApJ...937..120W\|2022ApJ...940...32B\|2022ApJS..258...29C\|2022ApJS..263...17G\|2022MNRAS.511..800A\|2022MNRAS.512.1541G\|2022MNRAS.512.3195Z\|2022MNRAS.515.3555P\|2022MNRAS.516.5507N\|2022PASJ...74..343K\|2021A&A...647A..72K\|2021AJ....161...93D\|2021ApJ...908...75B\|2021ApJ...923..197P\|2021ApJS..257...35C\|2021MNRAS.500.2076G\|2021MNRAS.501..866M\|2021PASJ...73..417T\|2020A&A...635A.131I\|2020ApJ...898...75I\|2020ApJ...898...83D\|2020ApJ...900..124B\|2020ApJ...901..143U\|2020ApJ...901L..20B\|2020MNRAS.492..993C\|2020MNRAS.494.1784A\|2020MNRAS.495.1073D\|2020MNRAS.497.3860G\|2020MNRAS.498.1651B\|2020MNRAS.499....1F\|2020MNRAS.499.4325R\|2020RAA....20..189A\|2019A&A...622A.132M\|2019A&A...623A...5D\|2019A&A...624A.138Y\|2019A&A...625A..65R\|2019A&A...631A.165A\|2019AJ....157..131B\|2019ApJ...872...16D\|2019ApJ...877....7W\|2019ApJ...878..161J\|2019ApJ...880..127J\|2019ApJ...881..119P\|2019ApJ...882...34F\|2019ApJ...887..106A\|2019ApJS..241...38S\|2019ApJS..244...24L\|2019MNRAS.482.2878V\|2019MNRAS.490..848D\|2019MNRAS.490.1539R\|2018A&A...609A..37C\|2018A&A...609A.134S\|2018A&A...609A.136T\|2018A&A...611A..55K\|2018A&A...611A..95W\|2018A&A...613A..35K\|2018A&A...614A..32W\|2018A&A...615A..33M\|2018AJ....155...17C\|2018ApJ...861...94H\|2018ApJ...864...40P\|2018ApJ...864..123M\|2018ApJ...869...56B\|2018ApJS..234...18B\|2018ApJS..234...35Z\|2018ApJS..237...36P\|2018MNRAS.474..779G\|2018MNRAS.475.3934L\|2018MNRAS.476.2629M\|2018MNRAS.479..517P\|2018MNRAS.481.1212R\|2018Natur.563..214K\|2017A&A...597A..28B\|2017A&A...600A.139H\|2017A&A...602A...4D\|2017A&A...602A...9C\|2017A&A...603A.119H\|2017AJ....154...70W\|2017AJ....154..211K\|2017ApJ...835...28J\|2017ApJ...835..223S\|2017ApJ...836..101C\|2017ApJ...837..120G\|2017ApJ...839...88K\|2017ApJ...840....8S\|2017ApJ...841...43E\|2017ApJ...842..131S\|2017ApJ...843...16K\|2017ApJ...843...91L\|2017ApJ...846....5L\|2017MNRAS.464.1003B\|2017MNRAS.464.3315A\|2017MNRAS.466.3442J\|2017MNRAS.468..492P\|2017MNRAS.470.4989S\|2017MNRAS.471.2254Z\|2017PASJ...69....6U\|2017PASJ...69...18T\|2017PASJ...69...66K\|2016A&A...585A.142P\|2016A&A...587A..45H\|2016A&A...587A..72B\|2016A&A...587A.147A\|2016A&A...587A.160D\|2016A&A...588A..14T\|2016A&A...593A..43V\|2016A&A...593A..89R\|2016A&ARv..24....4B\|2016AJ....152...50T\|2016ApJ...821..119C\|2016ApJ...823...87S\|2016ApJ...826...56R\|2016ApJ...829...20W\|2016ApJ...829...93K\|2016ApJ...830...10H\|2016ApJ...833..231T\|2016MNRAS.457.1107H\|2016MNRAS.458..158D\|2016MNRAS.458..988R\|2016MNRAS.458.3968P\|2016MNRAS.459..720H\|2016MNRAS.461.3001T\|2016MNRAS.462...92J\|2016PASJ...68R...1H\|2015A&A...578A..95I\|2015A&A...579A..44D\|2015AJ....150...43T\|2015ApJ...802...20R\|2015ApJ...802...81M\|2015ApJ...805...31L\|2015ApJ...812..118A\|2015ApJ...812..160L\|2015ApJ...815..103B\|2015ApJS..217...32B\|2015ApJS..219....4S\|2015ApJS..220....6B\|2015ApJS..220....9F\|2015MNRAS.446.2038R\|2015MNRAS.447.3639M\|2015MNRAS.448.1107M\|2015MNRAS.449.1309G\|2015MNRAS.451.1307Z\|2015MNRAS.452..246A\|2015MNRAS.453.2885R\|2015MNRAS.454.3816C\|2015RAA....15..785L\|2014A&A...568A..62D\|2014A&A...568A..66M\|2014A&A...568A.122Z\|2014A&A...569A..91K\|2014A&ARv..22...77B\|2014AJ....147....5R\|2014AJ....147...78W\|2014AJ....147...99M\|2014AJ....148..130A\|2014ApJ...780...19R\|2014ApJ...780...36F\|2014ApJ...781...12H\|2014ApJ...781..101S\|2014ApJ...782...97A\|2014ApJ...785...39L\|2014ApJ...787..103H\|2014ApJ...789..124D\|2014ApJ...790..122T\|2014ApJ...795..156W\|2014ApJ...795..174K\|2014ApJS..213...19B\|2014AstL...40...11T\|2014MNRAS.440..821B\|2014MNRAS.440.1138E\|2014MNRAS.441.3570G\|2014MNRAS.443..111B\|2014MNRAS.443.1849S\|2014MNRAS.444.3015L\|2014MNRAS.445.1412Z\|2013A&A...549A.136T\|2013AJ....145...27Z\|2013AJ....146...30K\|2013AJ....146...86T\|2013ARA&A..51..207B\|2013ATel.5162....1E\|2013ApJ...765..141N\|2013ApJ...767...72R\|2013ApJ...768...90L\|2013ApJ...768..194M\|2013ApJ...770...29C\|2013ApJ...771..120P\|2013ApJ...777..126S\|2013ApJ...779...38P\|2013MNRAS.429.1858D\|2013MNRAS.431.1252B\|2013MNRAS.431L..83R\|2013MNRAS.432..506P\|2013MNRAS.434..696K\|2013MNRAS.434.2866F\|2013MNRAS.435..809A\|2013MNRAS.436..774E\|2013MNRAS.436.2852B\|2013MNRAS.436.3464K\|2013MNRAS.436L.109E\|2013PASJ...65...20K\|2012A&A...538L...9H\|2012A&A...539A..77V\|2012A&A...543A..61B\|2012A&A...545A..69W\|2012A&A...547A..17M\|2012A&A...547A..65B\|2012A&ARv..20...50G\|2012AJ....144..125M\|2012AJ....144..156K\|2012ApJ...745...65U\|2012ApJ...746...28Z\|2012ApJ...748..102T\|2012ApJ...750..136W\|2012ApJ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members = Simbad.query_criteria("region(circle, NGC4038, 2m)", membership=100)
members

Table length=4

MAIN_ID	RA	DEC	RA_PREC	DEC_PREC	COO_ERR_MAJA	COO_ERR_MINA	COO_ERR_ANGLE	COO_QUAL	COO_WAVELENGTH	COO_BIBCODE	OTYPE	OTYPES	GALDIM_MAJAXIS	GALDIM_MINAXIS	GALDIM_ANGLE	GALDIM_BIBCODE	BIBLIO	SCRIPT_NUMBER_ID
	"h:m:s"	"d:m:s"			mas	mas	deg						arcmin	arcmin	deg
object	str13	str13	int16	int16	float32	float32	int16	str1	str1	object	object	object	float32	float32	int16	object	object	int32
NAME Antennae	12 01 53.170	-18 52 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[CEB2007] Cluster 3	12 01 54.56	-18 53 04.0	6	6	--	--	0	D		2007ApJ...658..319C	Cluster*	NIR\|Cl\|Cl	--	--	0		2010ApJ...710.1746G\|2007ApJ...658..319C	0
NGC 4038	12 01 53.002	-18 52 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You can learn more on the features of the Simbad python module here: https://astroquery.readthedocs.io/en/latest/simbad/simbad.html

and on the Simbad query criteria: http://simbad.cds.unistra.fr/simbad/sim-fsam

Step #2: Visualise the source on a sky map#

We now open the Aladin Lite widget. We set it first to center on the Antennae galaxies, have a field of view of 0.5 \(^\circ\) and show colour images from the Digitized Sky Survey (DSS). Typing aladin in the second line of code tells the notebook to display the widget.

aladin = Aladin(target="Antennae", fov=0.5, survey="P/DSS2/color", height=600)
aladin

As with any Aladin Lite implementation, you can interact with this widget. Try to:

scroll with your mouse pointer on the image to zoom in and out,
select other image surveys and manage the current view with
look at another target using the search field
find more information on something with the target tool
do a right click to discover more tools

You can also directly change the properties of the variable aladin. For example, to focus on M101 instead of the Antennae galaxies:

aladin.target = "M101"

Feel free to explore other targets and methods available for the Aladin widget.

Step #3: Find and visualize additional data#

We want to look for data related to HII regions in these interacting galaxies. We make a query in Simbad for HII regions within 14 arcmins around the Antennae galaxies.

table_simbad = Simbad.query_criteria("region(circle, Antennae, 14m)", maintype="HII")
table_simbad

Table length=317

MAIN_ID	RA	DEC	RA_PREC	DEC_PREC	COO_ERR_MAJA	COO_ERR_MINA	COO_ERR_ANGLE	COO_QUAL	COO_WAVELENGTH	COO_BIBCODE	OTYPE	OTYPES	GALDIM_MAJAXIS	GALDIM_MINAXIS	GALDIM_ANGLE	GALDIM_BIBCODE	BIBLIO	SCRIPT_NUMBER_ID
	"h:m:s"	"d:m:s"			mas	mas	deg						arcmin	arcmin	deg
object	str13	str13	int16	int16	float32	float32	int16	str1	str1	object	object	object	float32	float32	int16	object	object	int32
RX J120155.4-185209	12 01 55.4	-18 52 09	5	5	--	--	0	D			HIIReg	HII\|X	--	--	0		1997ApJ...478..542F\|1995MNRAS.277..397R	0
RX J120150.8-185220	12 01 50.9	-18 52 20	5	5	--	--	0	D			HIIReg	HII\|X	--	--	0		2000AJ....120..670N\|1997ApJ...478..542F\|1995MNRAS.277..397R	0
[MDL92] I	12 01 27.29	-19 00 54.7	6	6	--	--	0	D		2004AJ....127..660S	HIIReg	HII\|*\|G	--	--	0		2004AJ....127..660S\|2001AJ....122.2969H\|1992A&A...256L..19M	0
[MDL92] II	12 01 27.57	-19 01 01.6	6	6	--	--	0	D		2004AJ....127..660S	HIIReg	HII\|*\|G	--	--	0		2004AJ....127..660S\|2001AJ....122.2969H\|1992A&A...256L..19M	0
[MDL92] III	12 01 25.30	-19 00 40.3	6	6	--	--	0	D		2004AJ....127..660S	HIIReg	HII\|*\|G	--	--	0		2004AJ....127..660S\|2001AJ....122.2969H\|1992A&A...256L..19M	0
[ZBF2015] Arp244 1	12 01 54.60	-18 53 03.1	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0875	0.0875	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 2	12 01 55.70	-18 52 42.1	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.079	0.079	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 3	12 01 55.40	-18 52 48.5	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0585	0.0585	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 4	12 01 54.50	-18 51 55.9	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0878	0.0878	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 5	12 01 53.00	-18 52 08.6	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.061	0.061	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 6	12 01 55.50	-18 52 23.4	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0785	0.0785	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 7	12 01 50.50	-18 52 13.4	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0585	0.0585	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 8	12 01 52.60	-18 51 37.3	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0707	0.0707	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZFB2014] HII 9	12 01 50.50	-18 52 21.1	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0418	0.0418	90	2014MNRAS.445.1412Z	2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 11	12 01 50.50	-18 52 05.3	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0543	0.0543	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 12	12 01 52.20	-18 52 20.6	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0425	0.0425	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 13	12 01 54.60	-18 52 08.2	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0335	0.0335	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 14	12 01 53.60	-18 51 43.9	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0582	0.0582	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 15	12 01 51.90	-18 51 38.4	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0647	0.0647	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 16	12 01 55.20	-18 52 29.7	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0675	0.0675	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 17	12 01 54.10	-18 52 03.2	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0588	0.0588	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 19	12 01 54.20	-18 51 42.9	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0715	0.0715	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 20	12 01 51.00	-18 52 31.3	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0453	0.0453	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 21	12 01 55.70	-18 52 13.4	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0447	0.0447	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 24	12 01 55.40	-18 53 02.0	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0568	0.0568	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 25	12 01 50.80	-18 52 16.0	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0403	0.0403	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 26	12 01 51.00	-18 52 24.4	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0475	0.0475	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 27	12 01 52.00	-18 52 27.0	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0285	0.0285	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 28	12 01 53.00	-18 51 48.7	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0618	0.0618	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 29	12 01 51.20	-18 51 46.5	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0478	0.0478	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 30	12 01 54.90	-18 52 32.1	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0328	0.0328	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 32	12 01 52.30	-18 51 55.7	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.064	0.064	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 33	12 01 52.30	-18 52 10.5	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0568	0.0568	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 34	12 01 53.50	-18 51 38.0	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0578	0.0578	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 36	12 01 51.10	-18 51 58.8	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0565	0.0565	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
[ZFB2014] HII 236	12 01 52.20	-18 52 24.7	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.014	0.014	90	2014MNRAS.445.1412Z	2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 237	12 01 54.60	-18 52 02.9	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0188	0.0188	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 238	12 01 55.50	-18 52 33.8	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0125	0.0125	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 243	12 01 55.70	-18 52 07.7	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0122	0.0122	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 244	12 01 54.10	-18 53 06.3	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0188	0.0188	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 245	12 01 55.20	-18 52 18.7	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0125	0.0125	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 247	12 01 54.70	-18 52 37.3	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0107	0.0107	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 249	12 01 53.50	-18 53 08.3	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0125	0.0125	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 251	12 01 54.20	-18 51 49.6	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0188	0.0188	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 252	12 01 53.30	-18 53 06.1	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0093	0.0093	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 253	12 01 55.20	-18 52 11.0	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0125	0.0125	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 254	12 01 53.50	-18 51 35.2	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0125	0.0125	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 255	12 01 54.70	-18 52 48.4	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0157	0.0157	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 258	12 01 56.00	-18 52 46.3	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0128	0.0128	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 259	12 01 51.70	-18 52 35.7	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.016	0.016	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 260	12 01 55.40	-18 52 49.9	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0118	0.0118	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 262	12 01 54.60	-18 53 07.4	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0157	0.0157	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 264	12 01 54.10	-18 52 02.7	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0157	0.0157	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 267	12 01 50.70	-18 51 58.1	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0118	0.0118	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZFB2014] HII 268	12 01 54.60	-18 52 27.9	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0125	0.0125	90	2014MNRAS.445.1412Z	2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 269	12 01 54.50	-18 52 54.8	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0125	0.0125	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 271	12 01 53.60	-18 53 11.7	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0157	0.0157	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 273	12 01 53.30	-18 52 01.2	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.014	0.014	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 277	12 01 56.00	-18 52 12.4	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0135	0.0135	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 278	12 01 53.40	-18 53 03.2	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0125	0.0125	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 281	12 01 52.80	-18 52 02.2	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0125	0.0125	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 283	12 01 55.20	-18 52 40.3	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0125	0.0125	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 285	12 01 55.80	-18 52 09.2	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0125	0.0125	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 287	12 01 52.60	-18 52 15.9	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0085	0.0085	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 289	12 01 55.00	-18 52 47.9	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0125	0.0125	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 292	12 01 53.40	-18 53 05.6	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0125	0.0125	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 293	12 01 54.70	-18 52 57.1	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0093	0.0093	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZFB2014] HII 294	12 01 53.60	-18 51 49.0	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0125	0.0125	90	2014MNRAS.445.1412Z	2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 295	12 01 54.80	-18 53 01.9	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.011	0.011	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0
[ZBF2015] Arp244 300	12 01 54.70	-18 52 38.6	6	6	--	--	0	D	O	2014MNRAS.445.1412Z	HIIReg	HII\|HII	0.0093	0.0093	90	2014MNRAS.445.1412Z	2015MNRAS.451.1307Z\|2014MNRAS.445.1412Z	0

Once we have identified a bibliographic reference of interest, we can search the corresponding catalogs on VizieR. Here, the Biblio column has quite some occurrences of the reference '2015MNRAS.451.1307Z'.

Remember that by default VizieR will only return 50 entries (as in the web interface). To get all sources, set ROW_LIMIT=-1.

A good practice is to check first what data are available by querying only a subsample, then customize your Vizier query with the useful rows and columns before downloading the entire catalog.

cat_viz = Vizier(row_limit=10).get_catalogs("2015MNRAS.451.1307Z")
cat_viz

TableList with 2 tables:
	'0:J/MNRAS/451/1307/HIIreg' with 15 column(s) and 10 row(s) 
	'1:J/MNRAS/451/1307/list' with 13 column(s) and 10 row(s) 

In the example above, we see that 2 tables are associated with the reference 2015MNRAS.451.1307Z: a table called ‘HIIreg’ accessible by the index [0] and a table called ‘list’ accessible by the index [1]. The number of rows has been fixed by the parameter row_limit=10.

Let’s check the ‘HIIreg’ table:

# print the metadata
cat_viz[0].meta

{'ID': 'J_MNRAS_451_1307_HIIreg',
 'name': 'J/MNRAS/451/1307/HIIreg',
 'description': 'Physical properties of the brightest HII regions in interacting galaxies (table A1) and isolated galaxies (table A2)'}

# print the table itself
cat_viz[0]

Table length=10

Seq	n_Name	Name	Nf	RAJ2000	DEJ2000	logLHa	R	logMHII	rhoHII	sigma	alpVir	EWHa	logAge	Simbad
				'h:m:s'	'd:m:s'	log(1e-07W)	pc	log(solMass)	solMass / pc3	km / s		0.1 nm	log(yr)
int16	str3	str7	int16	str10	str11	float32	int16	float32	float32	float32	float32	float32	float32	str6
1	int	NGC2146	3	06 18 39.4	+78 21 18.2	39.040	114	5.90	0.1270	15.0	40.0	159.79	6.770	Simbad
2	int	NGC2146	3	06 18 38.1	+78 21 26.8	38.830	116	5.80	0.0970	17.0	60.0	54.70	6.810	Simbad
3	int	NGC2146	3	06 18 44.6	+78 21 50.6	38.590	142	5.80	0.0550	11.0	30.0	125.30	6.780	Simbad
4	int	NGC2146	3	06 18 27.7	+78 22 21.0	38.470	155	5.81	0.0410	8.6	20.0	119.64	6.780	Simbad
5	int	NGC2146	3	06 18 35.0	+78 21 28.0	38.440	124	5.65	0.0560	15.0	80.0	103.35	6.790	Simbad
6	int	NGC2146	3	06 18 42.8	+78 21 58.1	38.410	136	5.70	0.0470	4.0	--	155.86	6.770	Simbad
7	int	NGC2146	3	06 18 39.8	+78 21 22.5	38.350	81	5.30	0.0960	15.0	100.0	109.47	6.790	Simbad
8	int	NGC2146	3	06 18 48.0	+78 21 43.3	38.320	144	5.69	0.0390	4.0	--	81.89	6.800	Simbad
9	int	NGC2146	3	06 18 42.1	+78 21 12.0	38.310	94	5.40	0.0730	4.0	--	103.95	6.790	Simbad
10	int	NGC2146	3	06 18 44.2	+78 21 00.9	38.300	96	5.40	0.0700	4.0	--	67.87	6.800	Simbad

As for every function in python, we can call help(Vizier) in a code cell and run it to print the documentation.

help(Vizier)

Help on VizierClass in module astroquery.vizier.core object:

class VizierClass(astroquery.query.BaseQuery)
 |  VizierClass(columns=['*'], column_filters={}, catalog=None, keywords=None, ucd='', timeout=60, vizier_server='vizier.u-strasbg.fr', row_limit=50)
 |  
 |  Method resolution order:
 |      VizierClass
 |      astroquery.query.BaseQuery
 |      builtins.object
 |  
 |  Methods defined here:
 |  
 |  __init__(self, columns=['*'], column_filters={}, catalog=None, keywords=None, ucd='', timeout=60, vizier_server='vizier.u-strasbg.fr', row_limit=50)
 |      Parameters
 |      ----------
 |      columns : list
 |          List of strings
 |      column_filters : dict
 |      catalog : str or None
 |      keywords : str or None
 |      ucd : string
 |          "Unified Content Description" column descriptions.  Specifying
 |          these will select only catalogs that have columns matching the
 |          column descriptions defined on the Vizier web pages.
 |          See http://vizier.u-strasbg.fr/vizier/vizHelp/1.htx#ucd and
 |          http://cds.u-strasbg.fr/w/doc/UCD/
 |      vizier_server : string
 |          Name of the VizieR mirror to use.
 |          (This parameter's default is set from a configuration object.)
 |      timeout : number
 |          timeout for connecting to server
 |          (This parameter's default is set from a configuration object.)
 |      row_limit : int
 |          Maximum number of rows that will be fetched from the result
 |          (set to -1 for unlimited).
 |          (This parameter's default is set from a configuration object.)
 |  
 |  find_catalogs(self, keywords, include_obsolete=False, verbose=False, max_catalogs=None, return_type='votable')
 |      Search Vizier for catalogs based on a set of keywords, e.g. author name
 |      
 |      Parameters
 |      ----------
 |      keywords : list or string
 |          List of keywords, or space-separated set of keywords.
 |          From `Vizier <http://vizier.u-strasbg.fr/doc/asu-summary.htx>`_:
 |          "names or words of title of catalog. The words are and'ed, i.e.
 |          only the catalogues characterized by all the words are selected."
 |      include_obsolete : bool, optional
 |          If set to True, catalogs marked obsolete will also be returned.
 |      max_catalogs : int or None
 |          The maximum number of catalogs to return.  If ``None``, all
 |          catalogs will be returned.
 |      
 |      Returns
 |      -------
 |      resource_dict : dict
 |          Dictionary of the "Resource" name and the VOTable resource object.
 |          "Resources" are generally publications; one publication may contain
 |          many tables.
 |      
 |      Examples
 |      --------
 |      >>> from astroquery.vizier import Vizier
 |      >>> catalog_list = Vizier.find_catalogs('Kang W51')
 |      >>> print(catalog_list)
 |      {u'J/ApJ/706/83': <astropy.io.votable.tree.Resource at 0x108d4d490>,
 |       u'J/ApJS/191/232': <astropy.io.votable.tree.Resource at 0x108d50490>}
 |      >>> print({k:v.description for k,v in catalog_list.items()})
 |      {u'J/ApJ/706/83': u'Embedded YSO candidates in W51 (Kang+, 2009)',
 |       u'J/ApJS/191/232': u'CO survey of W51 molecular cloud (Bieging+, 2010)'}
 |  
 |  get_catalogs(self, *args, **kwargs)
 |      Queries the service and returns a table object.
 |      
 |      Query the Vizier service for a specific catalog
 |      
 |      Parameters
 |      ----------
 |      catalog : str, Resource, or list, optional
 |          The catalog(s) that will be retrieved
 |      
 |      Returns
 |      -------
 |      table : A `~astropy.table.Table` object.
 |  
 |  get_catalogs_async(self, catalog, verbose=False, return_type='votable', get_query_payload=False)
 |      Query the Vizier service for a specific catalog
 |      
 |      Parameters
 |      ----------
 |      catalog : str, Resource, or list, optional
 |          The catalog(s) that will be retrieved
 |      
 |      Returns
 |      -------
 |      response : `~requests.Response`
 |          Returned if asynchronous method used
 |  
 |  query_constraints(self, *args, **kwargs)
 |      Queries the service and returns a table object.
 |      
 |      Send a query to Vizier in which you specify constraints with
 |      keyword/value pairs.
 |      
 |      See `the vizier constraints page
 |      <http://vizier.cfa.harvard.edu/vizier/vizHelp/cst.htx>`_ for details.
 |      
 |      Parameters
 |      ----------
 |      catalog : str or list, optional
 |          The catalog(s) which must be searched for this identifier.
 |          If not specified, all matching catalogs will be searched.
 |      kwargs : dict
 |          Any key/value pairs besides "catalog" will be parsed
 |          as additional column filters.
 |      
 |      Examples
 |      --------
 |      >>> from astroquery.vizier import Vizier
 |      >>> # note that glon/glat constraints here *must* be floats
 |      >>> result = Vizier.query_constraints(catalog='J/ApJ/723/492/table1',
 |      ...                                   GLON='>49.0 & <51.0', GLAT='<0')
 |      >>> result[result.keys()[0]].pprint()
 |          GRSMC      GLON   GLAT   VLSR  ... RD09 _RA.icrs _DE.icrs
 |      ------------- ------ ------ ------ ... ---- -------- --------
 |      G049.49-00.41  49.49  -0.41  56.90 ... RD09   290.95    14.50
 |      G049.39-00.26  49.39  -0.26  50.94 ... RD09   290.77    14.48
 |      G049.44-00.06  49.44  -0.06  62.00 ... RD09   290.61    14.62
 |      G049.04-00.31  49.04  -0.31  66.25 ... RD09   290.64    14.15
 |      G049.74-00.56  49.74  -0.56  67.95 ... RD09   291.21    14.65
 |      G050.39-00.41  50.39  -0.41  41.17 ... RD09   291.39    15.29
 |      G050.24-00.61  50.24  -0.61  41.17 ... RD09   291.50    15.06
 |      G050.94-00.61  50.94  -0.61  40.32 ... RD09   291.85    15.68
 |      G049.99-00.16  49.99  -0.16  46.27 ... RD09   290.97    15.06
 |      G049.44-00.06  49.44  -0.06  46.27 ... RD09   290.61    14.62
 |      G049.54-00.01  49.54  -0.01  56.05 ... RD09   290.61    14.73
 |      G049.74-00.01  49.74  -0.01  48.39 ... RD09   290.71    14.91
 |      G049.54-00.91  49.54  -0.91  43.29 ... RD09   291.43    14.31
 |      G049.04-00.46  49.04  -0.46  58.60 ... RD09   290.78    14.08
 |      G049.09-00.06  49.09  -0.06  46.69 ... RD09   290.44    14.31
 |      G050.84-00.11  50.84  -0.11  50.52 ... RD09   291.34    15.83
 |      G050.89-00.11  50.89  -0.11  59.45 ... RD09   291.37    15.87
 |      G050.44-00.41  50.44  -0.41  64.12 ... RD09   291.42    15.34
 |      G050.84-00.76  50.84  -0.76  61.15 ... RD09   291.94    15.52
 |      G050.29-00.46  50.29  -0.46  14.81 ... RD09   291.39    15.18
 |      
 |      Returns
 |      -------
 |      table : A `~astropy.table.Table` object.
 |  
 |  query_constraints_async(self, catalog=None, return_type='votable', cache=True, get_query_payload=False, **kwargs)
 |      Send a query to Vizier in which you specify constraints with
 |      keyword/value pairs.
 |      
 |      See `the vizier constraints page
 |      <http://vizier.cfa.harvard.edu/vizier/vizHelp/cst.htx>`_ for details.
 |      
 |      Parameters
 |      ----------
 |      catalog : str or list, optional
 |          The catalog(s) which must be searched for this identifier.
 |          If not specified, all matching catalogs will be searched.
 |      kwargs : dict
 |          Any key/value pairs besides "catalog" will be parsed
 |          as additional column filters.
 |      
 |      Returns
 |      -------
 |      response : `requests.Response`
 |          The response of the HTTP request.
 |      
 |      Examples
 |      --------
 |      >>> from astroquery.vizier import Vizier
 |      >>> # note that glon/glat constraints here *must* be floats
 |      >>> result = Vizier.query_constraints(catalog='J/ApJ/723/492/table1',
 |      ...                                   GLON='>49.0 & <51.0', GLAT='<0')
 |      >>> result[result.keys()[0]].pprint()
 |          GRSMC      GLON   GLAT   VLSR  ... RD09 _RA.icrs _DE.icrs
 |      ------------- ------ ------ ------ ... ---- -------- --------
 |      G049.49-00.41  49.49  -0.41  56.90 ... RD09   290.95    14.50
 |      G049.39-00.26  49.39  -0.26  50.94 ... RD09   290.77    14.48
 |      G049.44-00.06  49.44  -0.06  62.00 ... RD09   290.61    14.62
 |      G049.04-00.31  49.04  -0.31  66.25 ... RD09   290.64    14.15
 |      G049.74-00.56  49.74  -0.56  67.95 ... RD09   291.21    14.65
 |      G050.39-00.41  50.39  -0.41  41.17 ... RD09   291.39    15.29
 |      G050.24-00.61  50.24  -0.61  41.17 ... RD09   291.50    15.06
 |      G050.94-00.61  50.94  -0.61  40.32 ... RD09   291.85    15.68
 |      G049.99-00.16  49.99  -0.16  46.27 ... RD09   290.97    15.06
 |      G049.44-00.06  49.44  -0.06  46.27 ... RD09   290.61    14.62
 |      G049.54-00.01  49.54  -0.01  56.05 ... RD09   290.61    14.73
 |      G049.74-00.01  49.74  -0.01  48.39 ... RD09   290.71    14.91
 |      G049.54-00.91  49.54  -0.91  43.29 ... RD09   291.43    14.31
 |      G049.04-00.46  49.04  -0.46  58.60 ... RD09   290.78    14.08
 |      G049.09-00.06  49.09  -0.06  46.69 ... RD09   290.44    14.31
 |      G050.84-00.11  50.84  -0.11  50.52 ... RD09   291.34    15.83
 |      G050.89-00.11  50.89  -0.11  59.45 ... RD09   291.37    15.87
 |      G050.44-00.41  50.44  -0.41  64.12 ... RD09   291.42    15.34
 |      G050.84-00.76  50.84  -0.76  61.15 ... RD09   291.94    15.52
 |      G050.29-00.46  50.29  -0.46  14.81 ... RD09   291.39    15.18
 |  
 |  query_object(self, *args, **kwargs)
 |      Queries the service and returns a table object.
 |      
 |      Serves the same purpose as `query_object` but only
 |      returns the HTTP response rather than the parsed result.
 |      
 |      Parameters
 |      ----------
 |      object_name : str
 |          The name of the identifier.
 |      catalog : str or list, optional
 |          The catalog(s) which must be searched for this identifier.
 |          If not specified, all matching catalogs will be searched.
 |      radius : `~astropy.units.Quantity` or None
 |          A degree-equivalent radius (optional).
 |      coordinate_system : str or None
 |          If the object name is given as a coordinate, you *should* use
 |          `~astroquery.vizier.VizierClass.query_region`, but you can
 |          specify a coordinate frame here instead (today, J2000, B1975,
 |          B1950, B1900, B1875, B1855, Galactic, Supergal., Ecl.J2000, )
 |      
 |      
 |      Returns
 |      -------
 |      table : A `~astropy.table.Table` object.
 |  
 |  query_object_async(self, object_name, catalog=None, radius=None, coordinate_frame=None, get_query_payload=False, return_type='votable', cache=True)
 |      Serves the same purpose as `query_object` but only
 |      returns the HTTP response rather than the parsed result.
 |      
 |      Parameters
 |      ----------
 |      object_name : str
 |          The name of the identifier.
 |      catalog : str or list, optional
 |          The catalog(s) which must be searched for this identifier.
 |          If not specified, all matching catalogs will be searched.
 |      radius : `~astropy.units.Quantity` or None
 |          A degree-equivalent radius (optional).
 |      coordinate_system : str or None
 |          If the object name is given as a coordinate, you *should* use
 |          `~astroquery.vizier.VizierClass.query_region`, but you can
 |          specify a coordinate frame here instead (today, J2000, B1975,
 |          B1950, B1900, B1875, B1855, Galactic, Supergal., Ecl.J2000, )
 |      
 |      Returns
 |      -------
 |      response : `~requests.Response`
 |          The response of the HTTP request.
 |  
 |  query_region(self, *args, **kwargs)
 |      Queries the service and returns a table object.
 |      
 |      Serves the same purpose as `query_region` but only
 |      returns the HTTP response rather than the parsed result.
 |      
 |      Parameters
 |      ----------
 |      coordinates : str, `astropy.coordinates` object, or `~astropy.table.Table`
 |          The target around which to search. It may be specified as a
 |          string in which case it is resolved using online services or as
 |          the appropriate `astropy.coordinates` object. ICRS coordinates
 |          may also be entered as a string.  If a table is used, each of
 |          its rows will be queried, as long as it contains two columns
 |          named ``_RAJ2000`` and ``_DEJ2000`` with proper angular units.
 |      radius : convertible to `~astropy.coordinates.Angle`
 |          The radius of the circular region to query.
 |      inner_radius : convertible to `~astropy.coordinates.Angle`
 |          When set in addition to ``radius``, the queried region becomes
 |          annular, with outer radius ``radius`` and inner radius
 |          ``inner_radius``.
 |      width : convertible to `~astropy.coordinates.Angle`
 |          The width of the square region to query.
 |      height : convertible to `~astropy.coordinates.Angle`
 |          When set in addition to ``width``, the queried region becomes
 |          rectangular, with the specified ``width`` and ``height``.
 |      catalog : str or list, optional
 |          The catalog(s) which must be searched for this identifier.
 |          If not specified, all matching catalogs will be searched.
 |      column_filters: dict, optional
 |          Constraints on columns of the result. The dictionary contains
 |          the column name as keys, and the constraints as values.
 |      frame : str, optional
 |          The frame to use for the request. It should be 'fk5', 'icrs',
 |          or 'galactic'. This choice influences the the orientation of
 |          box requests.
 |      
 |      
 |      Returns
 |      -------
 |      table : A `~astropy.table.Table` object.
 |  
 |  query_region_async(self, coordinates, radius=None, inner_radius=None, width=None, height=None, catalog=None, get_query_payload=False, cache=True, return_type='votable', column_filters={}, frame='fk5')
 |      Serves the same purpose as `query_region` but only
 |      returns the HTTP response rather than the parsed result.
 |      
 |      Parameters
 |      ----------
 |      coordinates : str, `astropy.coordinates` object, or `~astropy.table.Table`
 |          The target around which to search. It may be specified as a
 |          string in which case it is resolved using online services or as
 |          the appropriate `astropy.coordinates` object. ICRS coordinates
 |          may also be entered as a string.  If a table is used, each of
 |          its rows will be queried, as long as it contains two columns
 |          named ``_RAJ2000`` and ``_DEJ2000`` with proper angular units.
 |      radius : convertible to `~astropy.coordinates.Angle`
 |          The radius of the circular region to query.
 |      inner_radius : convertible to `~astropy.coordinates.Angle`
 |          When set in addition to ``radius``, the queried region becomes
 |          annular, with outer radius ``radius`` and inner radius
 |          ``inner_radius``.
 |      width : convertible to `~astropy.coordinates.Angle`
 |          The width of the square region to query.
 |      height : convertible to `~astropy.coordinates.Angle`
 |          When set in addition to ``width``, the queried region becomes
 |          rectangular, with the specified ``width`` and ``height``.
 |      catalog : str or list, optional
 |          The catalog(s) which must be searched for this identifier.
 |          If not specified, all matching catalogs will be searched.
 |      column_filters: dict, optional
 |          Constraints on columns of the result. The dictionary contains
 |          the column name as keys, and the constraints as values.
 |      frame : str, optional
 |          The frame to use for the request. It should be 'fk5', 'icrs',
 |          or 'galactic'. This choice influences the the orientation of
 |          box requests.
 |      
 |      Returns
 |      -------
 |      response : `requests.Response`
 |          The response of the HTTP request.
 |  
 |  ----------------------------------------------------------------------
 |  Readonly properties defined here:
 |  
 |  valid_keywords
 |  
 |  ----------------------------------------------------------------------
 |  Data descriptors defined here:
 |  
 |  catalog
 |      The default catalog to search.  If left empty, will search all
 |      catalogs.
 |  
 |  column_filters
 |      Filters to run on the individual columns. See the Vizier website
 |      for details.
 |  
 |  columns
 |      Columns to include.  The special keyword 'all' will return ALL
 |      columns from ALL retrieved tables.
 |  
 |  keywords
 |      The set of keywords to filter the Vizier search
 |  
 |  ucd
 |      UCD criteria: see http://vizier.u-strasbg.fr/vizier/vizHelp/1.htx#ucd
 |      
 |      Examples
 |      --------
 |      >>> Vizier.ucd = '(spect.dopplerVeloc*|phys.veloc*)'
 |  
 |  ----------------------------------------------------------------------
 |  Data and other attributes defined here:
 |  
 |  __abstractmethods__ = frozenset()
 |  
 |  ----------------------------------------------------------------------
 |  Methods inherited from astroquery.query.BaseQuery:
 |  
 |  __call__(self, *args, **kwargs)
 |      init a fresh copy of self
 |  
 |  ----------------------------------------------------------------------
 |  Data descriptors inherited from astroquery.query.BaseQuery:
 |  
 |  __dict__
 |      dictionary for instance variables (if defined)
 |  
 |  __weakref__
 |      list of weak references to the object (if defined)

Here we learn that columns should be a list, column_filters a dictionary, and row_limits is an int for which -1 means infinity. Now we can customize our VizieR query by selecting columns, filtering over the interacting galaxies (n_Name='int'), and keeping only the first region for each galaxy (Seq=1, for visualization purposes).

cat_hii = Vizier(
    columns=["Name", "RAJ2000", "DEJ2000", "logLHa", "R", "sigma"],
    column_filters={"Seq": "==1", "n_Name": "int"},
    row_limit=-1,
).get_catalogs("2015MNRAS.451.1307Z")[0]
cat_hii

Table length=12

Name	RAJ2000	DEJ2000	logLHa	R	sigma
	'h:m:s'	'd:m:s'	log(1e-07W)	pc	km / s
str7	str10	str11	float32	int16	float32
NGC2146	06 18 39.4	+78 21 18.2	39.040	114	15.0
Arp244	12 01 54.6	-18 53 03.1	40.200	280	32.8
NGC520	01 24 33.3	+03 48 04.6	39.120	255	14.1
UGC3995	07 44 09.2	+29 14 51.3	40.290	270	43.0
NGC3788	11 39 41.4	+31 54 23.3	39.700	280	11.9
NGC3786	11 39 45.1	+31 55 46.3	39.860	300	16.5
NGC2782	09 14 05.3	+40 06 50.4	39.800	166	28.0
NGC2993	09 45 48.3	-14 22 05.9	40.070	258	12.0
NGC2992	09 45 41.9	-14 19 33.4	39.180	100	16.0
NGC3991	11 57 31.7	+32 20 29.6	40.440	470	20.9
Arp270	10 49 55.8	+32 59 28.0	40.220	229	20.4
NGC3769	11 37 43.7	+47 53 24.4	38.310	66	4.0

We can also display the table on Aladin. This should work by simply typing aladin.add_table(cat_hii) but if you get errors in the format of some columns, you can just send the name and coordinates to Aladin:

aladin.add_table(cat_hii["Name", "RAJ2000", "DEJ2000"])

Go up to the Aladin Lite widget, zoom out to see all the sources, then rotate and zoom in to see the interacting galaxies. You can click on one source to display the information in the table.

Change the view to the AllWISE Infrared survey, either in the widget:

Base image layer -> The Wide-field Infrared Survey Explorer

or in the command line below.

You can find the list of available sky maps at https://aladin.u-strasbg.fr/hips/list

aladin.survey = "P/allWISE/color"

If you want to overlay the survey instead of replacing it:

aladin.overlay_survey= 'P/allWISE/color'

aladin.overlay_survey_opacity = 0.5

Exercise:

Retrieve the second table from Zaragoza-Cardiel+, 2015 (2015MNRAS.451.1307Z) containing data related to the image fits files and try to answer the questions:

What are the typical sizes of the fits images?
What is the approximate resolution of the images? [arcsec/pix]

# write your code here

Step #5: Cross-match tables#

We have HII data for a sample of interacting galaxies. Since we are also interested in the infrared fluxes we search for the Wide-field Infrared Survey Explorer (AllWISE) data release.

We want to match the sources in J/MNRAS/451/1307/HIIreg with the AllWISE source catalog that contains 747 million objects!

We use the X-Match python module for cross-identification of objects. It is particularly efficient and fast with very large catalogs, like AllWISE. All we need are the names of the catalogs, the names of the columns containing the coordinates of the sources, and the desired maximum distance for the match (optionally the area as well, otherwise all-sky is the default).

# What is the AllWISE catalogue reference in VizieR?
cat_allwise = Vizier.get_catalogs("AllWISE")
cat_allwise

TableList with 1 tables:
	'0:II/328/allwise' with 28 column(s) and 50 row(s) 

xmatch_zbf_wise = XMatch.query(
    cat1="vizier:J/MNRAS/451/1307/HIIreg",
    cat2="vizier:II/328/allwise",
    max_distance=10 * u.arcsec,
    colRA1="RAJ2000",
    colDec1="DEJ2000",
    colRA2="RAJ2000",
    colDec2="DEJ2000",
)
xmatch_zbf_wise

Table length=1314

angDist	_RAJ2000	_DEJ2000	recno	Seq	n_Name	Name	Nf	RAJ2000_1	DEJ2000_1	logLHa	R	logMHII	rhoHII	sigma	alpVir	EWHa	logAge	Simbad	AllWISE	RAJ2000_2	DEJ2000_2	eeMaj	eeMin	eePA	W1mag	W2mag	W3mag	W4mag	Jmag	Hmag	Kmag	e_W1mag	e_W2mag	e_W3mag	e_W4mag	e_Jmag	e_Hmag	e_Kmag	ID	ccf	ex	var	qph	pmRA	e_pmRA	pmDE	e_pmDE	d2M
float64	float64	float64	int64	int64	str3	str7	int64	str10	str11	float64	int64	float64	float64	float64	float64	float64	float64	str6	str19	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	float64	int64	str4	int64	str4	str4	int64	int64	int64	int64	float64
9.439952	250.775	36.839056	1820	27	iso	NGC6207	0	16 43 06.0	+36 50 20.6	37.69	66	4.9	0.06	4.0	--	134.26	6.78	Simbad	J164305.83+365029.8	250.7743217	36.8416214	0.0374	0.0369	67.0	12.87	12.918	8.29	5.588	--	--	--	0.073	0.025	0.022	0.037	--	--	--	2499136301351044678	0000	3	3000	AAAA	10	40	359	42	--
6.754932	250.767917	36.834944	1821	28	iso	NGC6207	0	16 43 04.3	+36 50 05.8	37.66	101	5.1	0.031	4.0	--	22.27	6.91	Simbad	J164303.76+365003.8	250.7656686	36.8344125	0.0212	0.0201	135.0	10.792	11.24	7.028	4.232	12.866	12.603	12.523	0.03	0.019	0.013	0.021	0.043	0.056	0.058	2499136301351044679	hd00	3	n9n3	AAAA	-929	25	-1205	26	0.458
8.575258	250.767917	36.834944	1821	28	iso	NGC6207	0	16 43 04.3	+36 50 05.8	37.66	101	5.1	0.031	4.0	--	22.27	6.91	Simbad	J164303.79+364959.7	250.7658199	36.8332538	0.0379	0.0338	158.6	10.953	10.936	7.758	5.483	--	--	--	0.023	0.022	0.024	0.066	--	--	--	2499136301351044647	d0d0	5	3200	AAAA	113	31	484	32	--
5.99581	250.76375	36.833083	1822	29	iso	NGC6207	0	16 43 03.3	+36 49 59.1	37.66	87	5.0	0.039	4.0	--	20.6	6.93	Simbad	J164303.79+364959.7	250.7658199	36.8332538	0.0379	0.0338	158.6	10.953	10.936	7.758	5.483	--	--	--	0.023	0.022	0.024	0.066	--	--	--	2499136301351044647	d0d0	5	3200	AAAA	113	31	484	32	--
7.312318	250.76375	36.833083	1822	29	iso	NGC6207	0	16 43 03.3	+36 49 59.1	37.66	87	5.0	0.039	4.0	--	20.6	6.93	Simbad	J164303.76+365003.8	250.7656686	36.8344125	0.0212	0.0201	135.0	10.792	11.24	7.028	4.232	12.866	12.603	12.523	0.03	0.019	0.013	0.021	0.043	0.056	0.058	2499136301351044679	hd00	3	n9n3	AAAA	-929	25	-1205	26	0.458
3.802161	250.766667	36.832444	1823	30	iso	NGC6207	0	16 43 04.0	+36 49 56.8	37.66	91	5.1	0.036	4.0	--	8.9	7.09	Simbad	J164303.79+364959.7	250.7658199	36.8332538	0.0379	0.0338	158.6	10.953	10.936	7.758	5.483	--	--	--	0.023	0.022	0.024	0.066	--	--	--	2499136301351044647	d0d0	5	3200	AAAA	113	31	484	32	--
7.648264	250.766667	36.832444	1823	30	iso	NGC6207	0	16 43 04.0	+36 49 56.8	37.66	91	5.1	0.036	4.0	--	8.9	7.09	Simbad	J164303.76+365003.8	250.7656686	36.8344125	0.0212	0.0201	135.0	10.792	11.24	7.028	4.232	12.866	12.603	12.523	0.03	0.019	0.013	0.021	0.043	0.056	0.058	2499136301351044679	hd00	3	n9n3	AAAA	-929	25	-1205	26	0.458
9.762527	250.769167	36.832833	1825	34	iso	NGC6207	0	16 43 04.6	+36 49 58.2	37.49	57	4.7	0.06	4.0	--	18.26	6.98	Simbad	J164303.79+364959.7	250.7658199	36.8332538	0.0379	0.0338	158.6	10.953	10.936	7.758	5.483	--	--	--	0.023	0.022	0.024	0.066	--	--	--	2499136301351044647	d0d0	5	3200	AAAA	113	31	484	32	--
4.218263	250.775	36.840583	1830	41	iso	NGC6207	0	16 43 06.0	+36 50 26.1	37.26	33	4.2	0.1	4.0	--	255.83	6.75	Simbad	J164305.83+365029.8	250.7743217	36.8416214	0.0374	0.0369	67.0	12.87	12.918	8.29	5.588	--	--	--	0.073	0.025	0.022	0.037	--	--	--	2499136301351044678	0000	3	3000	AAAA	10	40	359	42	--
0.814803	40.89875	1.377222	1834	1	iso	NGC1073	0	02 43 35.7	+01 22 38.0	39.22	124	6.04	0.138	13.4	23.0	522.67	6.59	Simbad	J024335.67+012237.2	40.8986511	1.3770184	0.0807	0.0757	126.3	14.868	14.664	10.041	7.24	--	--	--	0.033	0.065	0.066	0.129	--	--	--	408101501351028660	0000	3	nnnn	AAAB	--	--	--	--	--
9.556441	40.89875	1.377222	1834	1	iso	NGC1073	0	02 43 35.7	+01 22 38.0	39.22	124	6.04	0.138	13.4	23.0	522.67	6.59	Simbad	J024335.06+012236.8	40.8961145	1.3768984	0.0777	0.0726	113.5	14.665	14.547	10.116	7.751	--	--	--	0.032	0.059	0.07	0.201	--	--	--	408101501351028659	0000	3	nnnn	AAAB	519	113	184	115	--
2.050378	40.91625	1.398056	1835	2	iso	NGC1073	0	02 43 39.9	+01 23 53.0	38.87	87	5.64	0.16	9.9	23.0	641.02	6.54	Simbad	J024339.95+012351.1	40.9164643	1.3975283	0.0891	0.0842	142.7	15.058	15.11	10.021	7.007	--	--	--	0.036	0.101	0.062	0.092	--	--	--	408101501351028680	0000	2	1111	AAAA	342	161	-432	166	--
6.778978	40.917083	1.375444	1836	3	iso	NGC1073	0	02 43 40.1	+01 22 31.6	38.69	115	5.73	0.084	7.2	13.0	63.08	6.8	Simbad	J024340.51+012234.1	40.9188331	1.3761402	0.0422	0.0408	84.4	12.252	12.259	8.977	6.376	15.101	14.573	14.292	0.025	0.025	0.029	0.063	0.16	0.241	0.16	408101501351028598	0000	5	1100	AAAA	-153	48	62	47	0.394
3.101188	40.935417	1.359417	1837	4	iso	NGC1073	0	02 43 44.5	+01 21 33.9	38.67	88	5.54	0.123	5.0	6.0	577.09	6.57	Simbad	J024344.34+012131.8	40.9347787	1.3588383	0.0693	0.063	120.6	14.415	14.111	9.429	6.379	--	--	--	0.032	0.051	0.041	0.076	--	--	--	408101501351028642	0000	3	nnnn	AAAA	-1293	97	183	99	--
2.344396	40.90625	1.383389	1838	5	iso	NGC1073	0	02 43 37.5	+01 23 00.2	38.47	61	5.21	0.17	4.0	--	472.86	6.64	Simbad	J024337.35+012301.2	40.9056634	1.3836721	0.0934	0.0887	135.0	14.788	15.127	11.044	8.04	--	--	--	0.036	0.097	0.14	0.288	--	--	--	408101501351028661	0000	3	0nnn	AABB	-672	148	-537	151	--
2.002432	40.896667	1.376833	1839	6	iso	NGC1073	0	02 43 35.2	+01 22 36.6	38.44	75	5.32	0.12	5.0	12.0	444.15	6.68	Simbad	J024335.06+012236.8	40.8961145	1.3768984	0.0777	0.0726	113.5	14.665	14.547	10.116	7.751	--	--	--	0.032	0.059	0.07	0.201	--	--	--	408101501351028659	0000	3	nnnn	AAAB	519	113	184	115	--
7.171902	40.896667	1.376833	1839	6	iso	NGC1073	0	02 43 35.2	+01 22 36.6	38.44	75	5.32	0.12	5.0	12.0	444.15	6.68	Simbad	J024335.67+012237.2	40.8986511	1.3770184	0.0807	0.0757	126.3	14.868	14.664	10.041	7.24	--	--	--	0.033	0.065	0.066	0.129	--	--	--	408101501351028660	0000	3	nnnn	AAAB	--	--	--	--	--
3.63706	40.933333	1.360028	1841	8	iso	NGC1073	0	02 43 44.0	+01 21 36.1	38.39	81	5.35	0.1	4.0	--	462.21	6.67	Simbad	J024343.83+012133.5	40.9326259	1.3593062	0.0783	0.0695	119.1	14.513	14.278	9.72	7.47	--	--	--	0.033	0.056	0.051	0.193	--	--	--	408101501351028643	0000	3	nnnn	AAAB	--	--	--	--	--
6.739007	40.933333	1.360028	1841	8	iso	NGC1073	0	02 43 44.0	+01 21 36.1	38.39	81	5.35	0.1	4.0	--	462.21	6.67	Simbad	J024344.34+012131.8	40.9347787	1.3588383	0.0693	0.063	120.6	14.415	14.111	9.429	6.379	--	--	--	0.032	0.051	0.041	0.076	--	--	--	408101501351028642	0000	3	nnnn	AAAA	-1293	97	183	99	--
4.272473	40.906667	1.384306	1842	9	iso	NGC1073	0	02 43 37.6	+01 23 03.5	38.35	52	5.0	0.19	4.0	--	603.62	6.56	Simbad	J024337.35+012301.2	40.9056634	1.3836721	0.0934	0.0887	135.0	14.788	15.127	11.044	8.04	--	--	--	0.036	0.097	0.14	0.288	--	--	--	408101501351028661	0000	3	0nnn	AABB	-672	148	-537	151	--
2.792581	40.902917	1.379333	1844	11	iso	NGC1073	0	02 43 36.7	+01 22 45.6	38.26	63	5.1	0.12	4.0	--	495.73	6.63	Simbad	J024336.68+012242.8	40.9028637	1.3785591	0.1021	0.0952	140.9	15.165	15.455	11.016	8.142	--	--	--	0.037	0.122	0.135	0.271	--	--	--	408101501351029025	0000	3	0n0n	ABBB	-518	175	-813	183	--
9.888709	40.902917	1.379333	1844	11	iso	NGC1073	0	02 43 36.7	+01 22 45.6	38.26	63	5.1	0.12	4.0	--	495.73	6.63	Simbad	J024336.25+012252.9	40.9010781	1.381374	0.1136	0.1074	138.2	15.418	15.867	11.43	8.16	--	--	--	0.04	0.174	0.198	0.26	--	--	--	408101501351029108	0000	2	0nnn	ABBB	667	217	813	223	--
6.923083	40.916667	1.387917	1845	12	iso	NGC1073	0	02 43 40.0	+01 23 16.5	38.26	57	5.1	0.15	7.0	30.0	416.54	6.72	Simbad	J024340.26+012322.1	40.9177884	1.3894795	0.0672	0.0646	115.5	14.105	14.256	11.547	8.711	15.332	14.941	14.694	0.028	0.054	0.235	--	0.061	0.077	0.09	408101501351028636	0000	3	11nn	AABU	-50	78	-247	81	0.27
4.19439	40.915	1.395361	1847	14	iso	NGC1073	0	02 43 39.6	+01 23 43.3	38.12	63	5.05	0.107	4.0	--	574.72	6.57	Simbad	J024339.81+012340.5	40.9158807	1.3945979	0.1074	0.0998	145.4	15.328	15.616	11.026	8.14	--	--	--	0.038	0.154	0.146	0.275	--	--	--	408101501351029261	0000	3	1nnn	ABBB	691	193	502	202	--
9.415314	40.915	1.395361	1847	14	iso	NGC1073	0	02 43 39.6	+01 23 43.3	38.12	63	5.05	0.107	4.0	--	574.72	6.57	Simbad	J024339.95+012351.1	40.9164643	1.3975283	0.0891	0.0842	142.7	15.058	15.11	10.021	7.007	--	--	--	0.036	0.101	0.062	0.092	--	--	--	408101501351028680	0000	2	1111	AAAA	342	161	-432	166	--
4.567333	40.92	1.376639	1848	15	iso	NGC1073	0	02 43 40.8	+01 22 35.9	38.1	58	5.0	0.12	4.0	--	33.62	6.82	Simbad	J024340.51+012234.1	40.9188331	1.3761402	0.0422	0.0408	84.4	12.252	12.259	8.977	6.376	15.101	14.573	14.292	0.025	0.025	0.029	0.063	0.16	0.241	0.16	408101501351028598	0000	5	1100	AAAA	-153	48	62	47	0.394
2.332058	40.9075	1.372806	1849	16	iso	NGC1073	0	02 43 37.8	+01 22 22.1	38.1	74	5.15	0.082	4.0	--	142.73	6.77	Simbad	J024337.68+012220.5	40.9070112	1.3723808	0.0703	0.0675	128.8	14.145	13.99	10.17	7.763	--	--	--	0.032	0.047	0.063	0.18	--	--	--	408101501351028634	0000	3	210n	AAAB	120	100	-67	98	--
4.148466	40.900833	1.3825	1851	18	iso	NGC1073	0	02 43 36.2	+01 22 57.0	38.07	55	4.9	0.12	4.0	--	660.36	6.54	Simbad	J024336.25+012252.9	40.9010781	1.381374	0.1136	0.1074	138.2	15.418	15.867	11.43	8.16	--	--	--	0.04	0.174	0.198	0.26	--	--	--	408101501351029108	0000	2	0nnn	ABBB	667	217	813	223	--
9.681703	40.9	1.371111	1852	19	iso	NGC1073	0	02 43 36.0	+01 22 16.0	38.02	87	5.21	0.06	4.0	--	372.9	6.73	Simbad	J024336.63+012217.3	40.9026637	1.371487	0.1209	0.1148	128.8	15.308	15.512	11.172	8.857	--	--	--	0.044	0.132	0.144	0.476	--	--	--	408101501351029227	0000	3	1n0n	ABBC	854	224	35	230	--
4.080545	40.912083	1.360028	1853	20	iso	NGC1073	0	02 43 38.9	+01 21 36.1	37.99	56	4.9	0.11	4.0	--	580.5	6.57	Simbad	J024338.63+012134.9	40.9109988	1.3596963	0.1573	0.1485	151.2	15.843	16.598	12.1	8.783	--	--	--	0.051	0.37	0.408	--	--	--	--	408101501351029392	0000	2	0nnn	ACCU	0	307	0	322	--
5.372451	40.928333	1.359861	1854	21	iso	NGC1073	0	02 43 42.8	+01 21 35.5	37.98	87	5.19	0.057	4.0	--	234.29	6.76	Simbad	J024342.70+012130.3	40.9279375	1.358422	0.0722	0.0688	122.6	14.253	14.149	10.371	8.011	16.412	15.781	15.154	0.031	0.055	0.074	0.219	0.124	0.147	0.141	408101501351016413	0000	2	000n	AAAB	-33	104	134	110	0.724
4.376456	40.934167	1.359889	1855	22	iso	NGC1073	0	02 43 44.2	+01 21 35.6	37.92	60	4.9	0.09	4.0	--	508.89	6.61	Simbad	J024344.34+012131.8	40.9347787	1.3588383	0.0693	0.063	120.6	14.415	14.111	9.429	6.379	--	--	--	0.032	0.051	0.041	0.076	--	--	--	408101501351028642	0000	3	nnnn	AAAA	-1293	97	183	99	--
5.929978	40.934167	1.359889	1855	22	iso	NGC1073	0	02 43 44.2	+01 21 35.6	37.92	60	4.9	0.09	4.0	--	508.89	6.61	Simbad	J024343.83+012133.5	40.9326259	1.3593062	0.0783	0.0695	119.1	14.513	14.278	9.72	7.47	--	--	--	0.033	0.056	0.051	0.193	--	--	--	408101501351028643	0000	3	nnnn	AAAB	--	--	--	--	--
7.535183	40.922083	1.366583	1856	23	iso	NGC1073	0	02 43 41.3	+01 21 59.7	37.83	53	4.8	0.1	4.0	--	401.48	6.72	Simbad	J024341.21+012152.2	40.9217229	1.3645211	0.213	0.1957	141.4	16.001	16.755	12.349	8.982	--	--	--	0.067	0.428	--	--	--	--	--	408101501351029239	0000	2	0nnn	ACUU	-2216	392	-917	410	--
1.072508	40.905417	1.375944	1857	24	iso	NGC1073	0	02 43 37.3	+01 22 33.4	37.77	61	4.9	0.076	4.0	--	187.03	6.77	Simbad	J024337.22+012233.4	40.9051192	1.3759545	0.0851	0.0808	108.7	14.736	14.864	10.778	8.177	--	--	--	0.032	0.076	0.104	0.281	--	--	--	408101501351028958	0000	3	000n	AAAB	-302	144	-494	144	--
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
7.550313	262.440833	75.705917	1739	24	iso	NGC6412	0	17 29 45.8	+75 42 21.3	38.48	160	5.9	0.039	4.0	--	46.61	6.81	Simbad	J172944.02+754225.0	262.43344	75.70695	0.0472	0.0463	131.5	13.556	13.362	9.1	6.686	--	--	--	0.028	0.029	0.029	0.067	--	--	--	2613175701351028249	0000	3	1000	AAAA	0	46	0	47	--
6.429167	262.381667	75.710222	1742	27	iso	NGC6412	0	17 29 31.6	+75 42 36.8	38.45	220	6.0	0.025	4.0	--	33.4	6.82	Simbad	J172929.95+754238.8	262.3748121	75.7107936	0.0463	0.0458	119.5	13.734	13.535	9.003	6.314	--	--	--	0.027	0.03	0.029	0.05	--	--	--	2613175701351028258	0000	3	0011	AAAA	0	47	0	48	--
5.452084	262.36875	75.711028	1744	29	iso	NGC6412	0	17 29 28.5	+75 42 39.7	38.41	200	5.9	0.027	4.0	--	62.55	6.8	Simbad	J172929.95+754238.8	262.3748121	75.7107936	0.0463	0.0458	119.5	13.734	13.535	9.003	6.314	--	--	--	0.027	0.03	0.029	0.05	--	--	--	2613175701351028258	0000	3	0011	AAAA	0	47	0	48	--
4.859191	262.381667	75.698639	1745	30	iso	NGC6412	0	17 29 31.6	+75 41 55.1	38.37	152	5.8	0.038	4.0	--	63.77	6.8	Simbad	J172932.06+754159.6	262.3835992	75.6999016	0.0561	0.0511	146.4	13.829	13.712	9.414	7.001	--	--	--	0.03	0.032	0.034	0.089	--	--	--	2613175701351028261	0000	3	2100	AAAA	0	52	0	54	--
7.143155	262.3725	75.712694	1747	32	iso	NGC6412	0	17 29 29.4	+75 42 45.7	38.33	110	5.5	0.06	4.0	--	166.31	6.77	Simbad	J172929.95+754238.8	262.3748121	75.7107936	0.0463	0.0458	119.5	13.734	13.535	9.003	6.314	--	--	--	0.027	0.03	0.029	0.05	--	--	--	2613175701351028258	0000	3	0011	AAAA	0	47	0	48	--
8.380604	262.378333	75.705028	1749	34	iso	NGC6412	0	17 29 30.8	+75 42 18.1	38.32	150	5.7	0.039	4.0	--	23.44	6.87	Simbad	J172930.59+754209.7	262.3774768	75.7027097	0.0491	0.0482	111.8	13.768	13.728	9.557	7.203	--	--	--	0.028	0.031	0.033	0.086	--	--	--	2613175701351028264	0000	3	1122	AAAA	0	51	0	53	--
9.80518	262.439167	75.709278	1750	35	iso	NGC6412	0	17 29 45.4	+75 42 33.4	38.3	110	5.5	0.05	4.0	--	149.83	6.77	Simbad	J172944.02+754225.0	262.43344	75.70695	0.0472	0.0463	131.5	13.556	13.362	9.1	6.686	--	--	--	0.028	0.029	0.029	0.067	--	--	--	2613175701351028249	0000	3	1000	AAAA	0	46	0	47	--
9.070853	262.389583	75.697861	1752	37	iso	NGC6412	0	17 29 33.5	+75 41 52.3	38.29	170	5.8	0.031	4.0	--	50.88	6.81	Simbad	J172932.06+754159.6	262.3835992	75.6999016	0.0561	0.0511	146.4	13.829	13.712	9.414	7.001	--	--	--	0.03	0.032	0.034	0.089	--	--	--	2613175701351028261	0000	3	2100	AAAA	0	52	0	54	--
5.099381	262.385	75.698528	1755	40	iso	NGC6412	0	17 29 32.4	+75 41 54.7	38.25	140	5.6	0.037	4.0	--	53.91	6.81	Simbad	J172932.06+754159.6	262.3835992	75.6999016	0.0561	0.0511	146.4	13.829	13.712	9.414	7.001	--	--	--	0.03	0.032	0.034	0.089	--	--	--	2613175701351028261	0000	3	2100	AAAA	0	52	0	54	--
7.038688	262.43625	75.708778	1756	41	iso	NGC6412	0	17 29 44.7	+75 42 31.6	38.25	140	5.6	0.039	4.0	--	82.41	6.79	Simbad	J172944.02+754225.0	262.43344	75.70695	0.0472	0.0463	131.5	13.556	13.362	9.1	6.686	--	--	--	0.028	0.029	0.029	0.067	--	--	--	2613175701351028249	0000	3	1000	AAAA	0	46	0	47	--
5.037162	262.415	75.699917	1760	45	iso	NGC6412	0	17 29 39.6	+75 41 59.7	38.18	140	5.6	0.034	4.0	--	28.05	6.83	Simbad	J172940.66+754202.8	262.4194413	75.7007856	0.0451	0.0442	119.9	13.354	13.256	9.226	7.002	--	--	--	0.026	0.028	0.031	0.077	--	--	--	2613175701351028326	0000	3	3111	AAAA	770	43	-485	44	--
7.963642	262.374167	75.713	1762	47	iso	NGC6412	0	17 29 29.8	+75 42 46.8	38.16	90	5.3	0.06	4.0	--	124.62	6.78	Simbad	J172929.95+754238.8	262.3748121	75.7107936	0.0463	0.0458	119.5	13.734	13.535	9.003	6.314	--	--	--	0.027	0.03	0.029	0.05	--	--	--	2613175701351028258	0000	3	0011	AAAA	0	47	0	48	--
2.988374	262.390417	75.7145	1765	50	iso	NGC6412	0	17 29 33.7	+75 42 52.2	38.09	90	5.3	0.06	4.0	--	231.7	6.76	Simbad	J172934.49+754251.7	262.3937471	75.7143823	0.0407	0.0401	96.2	13.358	13.171	8.81	6.279	16.862	15.923	15.385	0.024	0.028	0.024	0.048	0.196	0.196	0.221	2613175701351028243	0000	3	1000	AAAA	0	41	0	41	2.868
5.552158	262.425	75.700083	1766	51	iso	NGC6412	0	17 29 42.0	+75 42 00.3	38.02	170	5.7	0.021	4.0	--	37.14	6.82	Simbad	J172940.66+754202.8	262.4194413	75.7007856	0.0451	0.0442	119.9	13.354	13.256	9.226	7.002	--	--	--	0.026	0.028	0.031	0.077	--	--	--	2613175701351028326	0000	3	3111	AAAA	770	43	-485	44	--
1.626631	262.385	75.699611	1768	53	iso	NGC6412	0	17 29 32.4	+75 41 58.6	38.0	110	5.4	0.04	4.0	--	58.13	6.8	Simbad	J172932.06+754159.6	262.3835992	75.6999016	0.0561	0.0511	146.4	13.829	13.712	9.414	7.001	--	--	--	0.03	0.032	0.034	0.089	--	--	--	2613175701351028261	0000	3	2100	AAAA	0	52	0	54	--
1.493997	262.417917	75.700611	1769	54	iso	NGC6412	0	17 29 40.3	+75 42 02.2	38.0	128	5.5	0.032	4.0	--	38.13	6.82	Simbad	J172940.66+754202.8	262.4194413	75.7007856	0.0451	0.0442	119.9	13.354	13.256	9.226	7.002	--	--	--	0.026	0.028	0.031	0.077	--	--	--	2613175701351028326	0000	3	3111	AAAA	770	43	-485	44	--
6.881703	262.430833	75.70875	1770	55	iso	NGC6412	0	17 29 43.4	+75 42 31.5	37.99	90	5.2	0.05	4.0	--	105.57	6.79	Simbad	J172944.02+754225.0	262.43344	75.70695	0.0472	0.0463	131.5	13.556	13.362	9.1	6.686	--	--	--	0.028	0.029	0.029	0.067	--	--	--	2613175701351028249	0000	3	1000	AAAA	0	46	0	47	--
8.06568	262.3725	75.704583	1772	57	iso	NGC6412	0	17 29 29.4	+75 42 16.5	37.95	130	5.5	0.028	4.0	--	34.99	6.82	Simbad	J172930.59+754209.7	262.3774768	75.7027097	0.0491	0.0482	111.8	13.768	13.728	9.557	7.203	--	--	--	0.028	0.031	0.033	0.086	--	--	--	2613175701351028264	0000	3	1122	AAAA	0	51	0	53	--
5.463918	262.423333	75.699611	1774	59	iso	NGC6412	0	17 29 41.6	+75 41 58.6	37.86	121	5.3	0.03	4.0	--	38.9	6.82	Simbad	J172940.66+754202.8	262.4194413	75.7007856	0.0451	0.0442	119.9	13.354	13.256	9.226	7.002	--	--	--	0.026	0.028	0.031	0.077	--	--	--	2613175701351028326	0000	3	3111	AAAA	770	43	-485	44	--
8.592734	262.41125	75.706444	1775	60	iso	NGC6412	0	17 29 38.7	+75 42 23.2	37.86	150	5.5	0.022	4.0	--	14.35	7.03	Simbad	J172937.39+754216.1	262.405793	75.7044738	0.0336	0.033	78.6	11.656	11.636	8.119	5.815	14.424	13.639	13.506	0.022	0.022	0.019	0.037	0.082	0.094	0.086	2613175701351028211	0000	5	4200	AAAA	0	30	0	30	0.861
2.121494	262.374167	75.711361	1782	67	iso	NGC6412	0	17 29 29.8	+75 42 40.9	37.65	80	4.9	0.05	4.0	--	91.34	6.79	Simbad	J172929.95+754238.8	262.3748121	75.7107936	0.0463	0.0458	119.5	13.734	13.535	9.003	6.314	--	--	--	0.027	0.03	0.029	0.05	--	--	--	2613175701351028258	0000	3	0011	AAAA	0	47	0	48	--
2.033969	262.36375	75.690222	1783	69	iso	NGC6412	0	17 29 27.3	+75 41 24.8	37.6	60	4.8	0.06	4.0	--	1.18	7.29	Simbad	J172927.37+754122.7	262.3640507	75.6896619	0.0403	0.0374	77.5	12.05	12.097	12.917	9.369	12.52	12.177	12.107	0.023	0.021	--	--	0.022	0.019	0.025	2613175701351028212	0000	2	11nn	AAUU	-48	34	26	34	0.157
6.113943	262.36375	75.690222	1783	69	iso	NGC6412	0	17 29 27.3	+75 41 24.8	37.6	60	4.8	0.06	4.0	--	1.18	7.29	Simbad	J172925.67+754123.7	262.3569903	75.6899173	0.3268	0.1897	101.4	16.104	16.518	12.619	9.184	--	--	--	0.126	0.248	--	--	--	--	--	2613175701351029820	0000	2	3nnn	BBUU	-253	460	362	559	--
2.461872	262.364583	75.690333	1789	75	iso	NGC6412	0	17 29 27.5	+75 41 25.2	37.54	100	5.1	0.026	4.0	--	1.63	7.24	Simbad	J172927.37+754122.7	262.3640507	75.6896619	0.0403	0.0374	77.5	12.05	12.097	12.917	9.369	12.52	12.177	12.107	0.023	0.021	--	--	0.022	0.019	0.025	2613175701351028212	0000	2	11nn	AAUU	-48	34	26	34	0.157
6.919677	262.364583	75.690333	1789	75	iso	NGC6412	0	17 29 27.5	+75 41 25.2	37.54	100	5.1	0.026	4.0	--	1.63	7.24	Simbad	J172925.67+754123.7	262.3569903	75.6899173	0.3268	0.1897	101.4	16.104	16.518	12.619	9.184	--	--	--	0.126	0.248	--	--	--	--	--	2613175701351029820	0000	2	3nnn	BBUU	-253	460	362	559	--
9.385763	262.399167	75.702444	1791	77	iso	NGC6412	0	17 29 35.8	+75 42 08.8	37.47	100	5.0	0.027	4.0	--	10.6	7.06	Simbad	J172937.39+754216.1	262.405793	75.7044738	0.0336	0.033	78.6	11.656	11.636	8.119	5.815	14.424	13.639	13.506	0.022	0.022	0.019	0.037	0.082	0.094	0.086	2613175701351028211	0000	5	4200	AAAA	0	30	0	30	0.861
2.430664	262.36375	75.690333	1792	78	iso	NGC6412	0	17 29 27.3	+75 41 25.2	37.3	80	4.8	0.03	4.0	--	1.43	7.25	Simbad	J172927.37+754122.7	262.3640507	75.6896619	0.0403	0.0374	77.5	12.05	12.097	12.917	9.369	12.52	12.177	12.107	0.023	0.021	--	--	0.022	0.019	0.025	2613175701351028212	0000	2	11nn	AAUU	-48	34	26	34	0.157
6.198088	262.36375	75.690333	1792	78	iso	NGC6412	0	17 29 27.3	+75 41 25.2	37.3	80	4.8	0.03	4.0	--	1.43	7.25	Simbad	J172925.67+754123.7	262.3569903	75.6899173	0.3268	0.1897	101.4	16.104	16.518	12.619	9.184	--	--	--	0.126	0.248	--	--	--	--	--	2613175701351029820	0000	2	3nnn	BBUU	-253	460	362	559	--
2.619531	262.364167	75.690389	1794	80	iso	NGC6412	0	17 29 27.4	+75 41 25.4	36.9	60	4.4	0.03	4.0	--	3.33	7.12	Simbad	J172927.37+754122.7	262.3640507	75.6896619	0.0403	0.0374	77.5	12.05	12.097	12.917	9.369	12.52	12.177	12.107	0.023	0.021	--	--	0.022	0.019	0.025	2613175701351028212	0000	2	11nn	AAUU	-48	34	26	34	0.157
6.607669	262.364167	75.690389	1794	80	iso	NGC6412	0	17 29 27.4	+75 41 25.4	36.9	60	4.4	0.03	4.0	--	3.33	7.12	Simbad	J172925.67+754123.7	262.3569903	75.6899173	0.3268	0.1897	101.4	16.104	16.518	12.619	9.184	--	--	--	0.126	0.248	--	--	--	--	--	2613175701351029820	0000	2	3nnn	BBUU	-253	460	362	559	--
5.639364	250.76375	36.834722	1795	1	iso	NGC6207	0	16 43 03.3	+36 50 05.0	39.51	154	6.33	0.14	18.0	27.0	68.4	6.8	Simbad	J164303.76+365003.8	250.7656686	36.8344125	0.0212	0.0201	135.0	10.792	11.24	7.028	4.232	12.866	12.603	12.523	0.03	0.019	0.013	0.021	0.043	0.056	0.058	2499136301351044679	hd00	3	n9n3	AAAA	-929	25	-1205	26	0.458
7.969164	250.76375	36.834722	1795	1	iso	NGC6207	0	16 43 03.3	+36 50 05.0	39.51	154	6.33	0.14	18.0	27.0	68.4	6.8	Simbad	J164303.79+364959.7	250.7658199	36.8332538	0.0379	0.0338	158.6	10.953	10.936	7.758	5.483	--	--	--	0.023	0.022	0.024	0.066	--	--	--	2499136301351044647	d0d0	5	3200	AAAA	113	31	484	32	--
7.499991	250.764583	36.836306	1796	2	iso	NGC6207	0	16 43 03.5	+36 50 10.7	39.36	131	6.15	0.148	13.9	21.0	138.94	6.78	Simbad	J164303.76+365003.8	250.7656686	36.8344125	0.0212	0.0201	135.0	10.792	11.24	7.028	4.232	12.866	12.603	12.523	0.03	0.019	0.013	0.021	0.043	0.056	0.058	2499136301351044679	hd00	3	n9n3	AAAA	-929	25	-1205	26	0.458
3.3028	250.775	36.842361	1797	3	iso	NGC6207	0	16 43 06.0	+36 50 32.5	38.88	138	5.94	0.079	6.0	7.0	264.23	6.75	Simbad	J164305.83+365029.8	250.7743217	36.8416214	0.0374	0.0369	67.0	12.87	12.918	8.29	5.588	--	--	--	0.073	0.025	0.022	0.037	--	--	--	2499136301351044678	0000	3	3000	AAAA	10	40	359	42	--
2.552215	250.774583	36.840944	1806	12	iso	NGC6207	0	16 43 05.9	+36 50 27.4	38.26	72	5.2	0.1	4.0	--	264.14	6.75	Simbad	J164305.83+365029.8	250.7743217	36.8416214	0.0374	0.0369	67.0	12.87	12.918	8.29	5.588	--	--	--	0.073	0.025	0.022	0.037	--	--	--	2499136301351044678	0000	3	3000	AAAA	10	40	359	42	--
7.317245	250.764583	36.83625	1817	24	iso	NGC6207	0	16 43 03.5	+36 50 10.5	37.73	72	4.9	0.056	4.0	--	200.19	6.76	Simbad	J164303.76+365003.8	250.7656686	36.8344125	0.0212	0.0201	135.0	10.792	11.24	7.028	4.232	12.866	12.603	12.523	0.03	0.019	0.013	0.021	0.043	0.056	0.058	2499136301351044679	hd00	3	n9n3	AAAA	-929	25	-1205	26	0.458