A classifier for spurious astrometric solutions in Gaia EDR3

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.

Identifier
Source https://dc.g-vo.org/rr/q/lp/custom/org.gavo.dc/gedr3spur/q/main
Related Identifier http://dc.g-vo.org/tableinfo/gedr3spur.main
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://org.gavo.dc/gedr3spur/q/main
Provenance
Creator Rybizki, J.; Green, G.M.; Rix, H.-W.; El-Badry, K.; Demleitner, M.; Zari, E.; Udalski, A.; Smart, R.L; Gould, A.
Instrument Neural Network
Publisher The GAVO DC team
Publication Year 2020
OpenAccess true
Contact GAVO Data Centre Team <gavo(at)ari.uni-heidelberg.de>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Interdisciplinary Astronomy; Natural Sciences; Observational Astronomy; Physics