KiDS-BEXGO catalog Virtual Observatory Resource

Authors

1. Khramtsov V.
2. Sergeyev A.
3. Spiniello C.
4. Tortora C.
5. Napolitano N.R.,Agnello A.
6. Getman F.
7. de Jong J.T.A.
8. Kuijken K.
9. Radovich M.,Shan H.-Y.
10. Shulga V.

Published by

CDS

Abstract

Within a Kilo-Degree Survey (KiDS) Strongly lensed QUAsar Detection project (KiDS-SQuaD), we built a catalogue of bright extragalactic objects from the KiDS DR4, with the main objective to select the reliable gravitationally lensed quasar candidates. We used machine learning algorithm, trained on Sloan Digital Sky Survey DR14 data, to classify sources from subsample (r<22mag) of KiDS DR4 on three classes: stars, quasars and galaxies. Resulting KiDS Bright EXtraGalactic Objects catalogue (KiDS-BEXGO) contains ~6M galaxies and ~0.2M quasars. KiDS-BEXGO represents the first comprehensive identification of bright extragalactic objects in the KiDS DR4 data.

Keywords

1. surveys
2. gravitational-lensing
3. quasars
4. galaxies
5. catalogs
6. photometry

Bibliographic source Bibcode

2019A&A...632A..56K

See also HTML

https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/632/A56

IVOA Identifier IVOID

ivo://CDS.VizieR/J/A+A/632/A56

Document Object Identifer DOI

doi:10.26093/cds/vizier.36320056

Access

Web browser access HTML

https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+A/632/A56
https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/A+A/632/A56
http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/A+A/632/A56

IVOA Table Access TAP

https://tapvizier.cds.unistra.fr/TAPVizieR/tap
Run SQL-like queries with TAP-enabled clients (e.g., TOPCAT).

IVOA Cone Search SCS

For use with a cone search client (e.g., TOPCAT).
https://vizier.cds.unistra.fr/viz-bin/conesearch/J/A+A/632/A56/catalog?
https://vizier.iucaa.in/viz-bin/conesearch/J/A+A/632/A56/catalog?
http://vizieridia.saao.ac.za/viz-bin/conesearch/J/A+A/632/A56/catalog?