A classifier for spurious astrometric solutions in Gaia EDR3 Virtual Observatory Resource

Authors

1. Rybizki, J.
2. Green, G.
3. Rix, H.-W.
4. El-Badry, K.
5. Demleitner, M.
6. Zari, E.
7. Udalski, A.
8. Smart, R.L
9. Gould, A.

Published by

The GAVO DC team

Abstract

 This table contains estimates of the "fidelity" of Gaia eDR3
astrometric solutions, a measure of the likelihood the eDR3 solution
is physical rather than spurious obtained using a neural network
trained on a small, hand-selected sample.

Keywords

1. stellar-distance
2. trigonometric-parallax
3. measurement-error-model

Bibliographic source Bibcode

2022MNRAS.510.2597R

See also HTML

http://dc.g-vo.org/tableinfo/gedr3spur.main

IVOA Identifier IVOID

ivo://org.gavo.dc/gedr3spur/q/main

Access

IVOA Table Access TAP

http://dc.g-vo.org/tap
https://dc.g-vo.org/tap
Run SQL-like queries with TAP-enabled clients (e.g., TOPCAT).