Table information for 'gedr3spur.main'


This table is available for ADQL queries and through the TAP endpoint.

Resource Description: 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.

For a list of all services and tables belonging to this table's resource, see Information on resource 'A classifier for spurious astrometric solutions in Gaia EDR3'

Citing this table

This table has an associated publication. If you use data from it, it may be appropriate to reference 2021arXiv210111641R (ADS BibTeX entry for the publication) either in addition to or instead of the service reference.

To cite the table as such, we suggest the following BibTeX entry:

  title={A classifier for spurious astrometric solutions in Gaia {EDR3}},
  author={Rybizki, J. and Green, G. and Rix, H.-W. and Demleitner, M. and Zari, E. and Udalski, A. and Smart, R.L and Gould, A.},
  howpublished={{VO} resource provided by the {GAVO} Data Center}

Resource Documentation

The full data set is also available as a postgres dump (basically, tab-separated values). This dump is sorted by source_ids, so you can bisect in it.

To obtain the dump (which we don't link here to keep crawlers from needlessly pulling 12 GB of data), run your preferred variant of:

curl -O


Sorted by DB column index. [Sort alphabetically]

NameTable Head DescriptionUnitUCD
source_id Source Id Gaia eDR3 unique source identifier. Note that this *cannot* be matched against the DR1 or DR2 source_ids. [Note id] N/A;meta.main
fidelity_v1 fidelity The probability that eDR3 has a good astrometric solution for this source, with values between 0 (meaning likely spurious solution) and 1 (meaning likely good solution). N/A

Columns that are parts of indices are marked like this.


VO nerds may sometimes need VOResource XML for this table.