OAC API Queries (astroquery.oac)

Getting started

This module is designed to enable the full-functionality of the Open Astronomy Catalog REST API for easy access to data of supernovae, Tidal Disruption Events (TDEs) and kilonovae. Examples of API usage and available data products can be found at the OAC API Github Repository

Primary Methods

There are two primary methods for submitting API queries. The first is query_object which can be used to search the OAC based on an event name. Multiple events can be retrieved by submitting a list of event names.

The default behavior returns a top-level list of all available metadata for the queried event(s).

>>> from astroquery.oac import OAC
>>> metadata = OAC.query_object("GW170817")

The query can be further refined by using the available QUANTITY and ATTRIBUTE options. For example, to retrieve the light curve for an object:

>>> photometry = OAC.query_object("GW170817", quantity="photometry",
...                               attribute=["time", "magnitude",
...                                          "e_magnitude", "band",
...                                          "instrument"])

The results of a query can be further refined by using the ARGUMENT option

>>> photometry = OAC.query_object("GW170817", quantity="photometry",
...                               attribute=["time", "magnitude",
...                                          "e_magnitude", "band",
...                                          "instrument"],
...                               argument=["band=i"])

The second method available is query_region which performs a cone or box search for a given set of coordinates. Coordinates can be submitted as an Astropy SkyCoord object or a list with [ra, dec] structure. Coordinates can be given in decimal degrees or sexigesimal units. The API can currently only query a single set of coordinates.

For this example, we first establish coordinates and search parameters:

>>> import astropy.coordinates as coord
>>> import astropy.units as u
>>> from astroquery.oac import OAC
>>> #Sample coordinates. We are using GW170817.
>>> ra = 197.45037
>>> dec = -23.38148
>>> test_coords = coord.SkyCoord(ra=ra, dec=dec, unit=(u.deg, u.deg))
>>> test_radius = 10*u.arcsec
>>> test_height = 10*u.arcsec
>>> test_width = 10*u.arcsec

An example cone search:

>>> photometry = OAC.query_region(coordinates=test_coords, radius=test_radius,
...                               quantity="photometry",
...                               attribute=["time", "magnitude",
...                                          "e_magnitude", "band", "instrument"])

An example box search:

>>> photometry = OAC.query_region(coordinates=test_coords,
...                               width=test_width, height=test_height,
...                               quantity="photometry",
...                               attribute=["time", "magnitude",
...                                          "e_magnitude", "band", "instrument"])

As with the query_object method, searches using query_region can be refined using the QUANTITY, ATTRIBUTE, and ARGUMENT options. The complete list of available options can be found at the OAC API Github Repository

The default behavior for both methods is to return an Astropy table object. Queries can also be returned as a JSON compliant dictionary using the data_format option.

Tailored Methods

There are three tailed search methods available to users to facilitate quick retrieval of common data products.

The method get_photometry is designed to quickly return the photometry for a given event or list of events.

>>> from astroquery.oac import OAC
>>> photometry = OAC.get_photometry("SN2014J")

The search can be refined using only the argument features of query_object. More complex queries should use the base query_object method.

For example, to retrieve only R-band photometry:

>>> photometry = OAC.get_photometry("SN2014J", argument="band=R")

The output is an Astropy table.

The method get_single_spectrum is designed to retrieve a single spectrum for a single object at a specified time. The time should be given in MJD, but does not have to be exact. The query will return the spectrum that is closest in time.

>>> from astroquery.oac import OAC
>>> test_time = 57740
>>> spectrum = OAC.get_single_spectrum("GW170817", time=test_time)

The output is an Astropy table.

The method get_spectra is designed to return all available spectra for an event or list of events.

>>> from astroquery.oac import OAC
>>> spectra = OAC.get_spectra("SN2014J")

Note that the query must return a JSON-compliant dictionary which will have nested lists of MJD and [wavelength, flux] pairs. Multiple spectra can not be unwrapped into an Astropy table.

The basic dictionary structure is:

{“event_name” : {“spectra” : [mjd_0, [[wavelength_0, flux_0], … , [wavelength_n, flux_n]]], … , [mjd_m, [[wavelength_0, flux_0], … , [wavelength_n, flux_n]]]}}


If you are repeatedly getting failed queries, or bad/out-of-date results, try clearing your cache:

>>> from astroquery.oac import OAC
>>> OAC.clear_cache()

If this function is unavailable, upgrade your version of astroquery. The clear_cache function was introduced in version 0.4.7.dev8479.


astroquery.oac Package


This module allows access to the OAC API and all available functionality. For more information see: https://api.astrocats.space. :authors: Philip S. Cowperthwaite (pcowpert@cfa.harvard.edu) and James Guillochon (jguillochon@cfa.harvard.edu)



OAC class.


Configuration parameters for astroquery.oac.