| |
 |
| Paper: |
Radio Astronomy Visibility Data Discovery and Access
Using IVOA Standards |
| Volume: |
532, ASTRONOMICAL DATA ANALYSIS SOFTWARE AND SYSTEMS XXX |
| Page: |
443 |
| Authors: |
Louys, M.; Lutz, K. A.; Stein, Y.; Egner, A.; Bonnarel, F. |
| Abstract: |
Enhancing interoperable data access to radio data has become a science priority within the International Virtual Observatory Alliance (IVOA).
This lead to the foundation of the IVOA Radio astronomy Interest Group. Several radio astronomers and project scientists enrolled in various projects (NRAO, ASKAP, LOFAR, JIVE, ALMA, SKA, INAF, NenuFAR, etc.) have joined. Together they are paving the way to a better integration of their services in the virtual observatory (VO) infrastructure and propose extension of IVOA standards to help achieving this goal.
Calibrated radio datasets such as cubes, images, spectra and time series can already be searched and retrieved using the ObsCore/ObsTAP specification defined in the IVOA, or by dataproduct-specific services like SIAv2, SODA, SSA and ConeSearch. However, properties of radio visibility data are not fully implemented in the VO landscape yet. We need specific features to refine data discovery and selection that are adapted to radio astronomers' need.
In this context
the VO team at the Centre de Données astronomiques de Strasbourg (CDS) proposes to consider the ObsCore/ObsTAP specification \citep{2017ivoa.spec.0509L} and to establish cross-walks between the ObsCore and the existing Measurement Set (MS) metadata profile for data discovery of radio visibility data (VD).
In order to account for the difference in granularity between radio VD datasets and science-ready datasets of the VO, the approach splits a MS data file into a list of datasets served by an ObsTAP service, thus enabling coarse grain discovery in the multi-wavelength context.
Radio specific metadata such as number of antennae, frequency ranges,
uv plane coverage plots, frequency-phase and frequency-amplitude plots, primary and synthesized beams are also provided either by adding column metadata or by using the DataLink technique. Future evolution of this approach and lessons learned are discussed. |
|
|
|
|
|
