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Table · dataset · 2023

estimates_gdr3_rv

Listed in Gaia@AIP

Radial velocity predictions for all Gaia DR3 stars without radial velocity measurements and with G-band magnitude brighter than 17.5.

Description

The predictions are generated by a Bayesian neural network model trained on the DR3 RVS sample. The model generates full posterior distributions, which are summarised in this catalogue as 4-component Gaussian mixtures.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Astronomical sciences 68%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Gaia@AIPoai:gaia.aip.de:tables/gaiadr3_contrib.estimates_gdr3_rv7 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · gaia aip deconnector:gaia_aip_de@1.0.0
concepts[field].anzsrc:group:5101enrichment · gaia aip detaxonomy-embedding@1.0.0title+keywords+description (68%)
concepts[field].local:field:astronomymapping · gaia aip deconnector:gaia_aip_de@1.0.0
concepts[field].local:field:earth-environmentalmapping · gaia aip deconnector:gaia_aip_de@1.0.0
concepts[field].local:field:physicsmapping · gaia aip deconnector:gaia_aip_de@1.0.0
descriptionsource · gaia aip deconnector:gaia_aip_de@1.0.0/metadata/dc/description
licensesource · gaia aip deconnector:gaia_aip_de@1.0.0/metadata/dc/rights
publication_datesource · gaia aip deconnector:gaia_aip_de@1.0.0
titlesource · gaia aip deconnector:gaia_aip_de@1.0.0/metadata/dc/title