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Gaia Data Release 1: Catalogue validation

Authors :
Arenou, F.
Luri, X.
Babusiaux, C.
Fabricius, C.
Helmi, A.
Robin, A. C.
Vallenari, A.
Blanco-Cuaresma, S.
Cantat-Gaudin, T.
Findeisen, K.
Reylé, C.
Ruiz-Dern, L.
Sordo, R.
Turon, C.
Walton, N. A.
Shih, I-C.
Antiche, E.
Barache, C.
Barros, M.
Breddels, M.
Carrasco, J. M.
Costigan, G.
Diakité, S.
Eyer, L.
Figueras, F.
Galluccio, L.
Heu, J.
Jordi, C.
Krone-Martins, A.
Lallement, R.
Lambert, S.
Leclerc, N.
Marrese, P. M.
Moitinho, A.
Mor, R.
Romero-Gómez, M.
Sartoretti, P.
Soria, S.
Soubiran, C.
Souchay, J.
Veljanoski, J.
Ziaeepour, H.
Giuffrida, G.
Pancino, E.
Bragaglia, A.
Source :
A&A 599, A50 (2017)
Publication Year :
2017

Abstract

Before the publication of the Gaia Catalogue, the contents of the first data release have undergone multiple dedicated validation tests. These tests aim at analysing in-depth the Catalogue content to detect anomalies, individual problems in specific objects or in overall statistical properties, either to filter them before the public release, or to describe the different caveats of the release for an optimal exploitation of the data. Dedicated methods using either Gaia internal data, external catalogues or models have been developed for the validation processes. They are testing normal stars as well as various populations like open or globular clusters, double stars, variable stars, quasars. Properties of coverage, accuracy and precision of the data are provided by the numerous tests presented here and jointly analysed to assess the data release content. This independent validation confirms the quality of the published data, Gaia DR1 being the most precise all-sky astrometric and photometric catalogue to-date. However, several limitations in terms of completeness, astrometric and photometric quality are identified and described. Figures describing the relevant properties of the release are shown and the testing activities carried out validating the user interfaces are also described. A particular emphasis is made on the statistical use of the data in scientific exploitation.<br />Comment: 34 pages, 52 figures, 3 tables. Submitted to A&A on Oct. 14 as part of the Gaia DR1 special issue, accepted with minor revisions on Dec. 19

Details

Database :
arXiv
Journal :
A&A 599, A50 (2017)
Publication Type :
Report
Accession number :
edsarx.1701.00292
Document Type :
Working Paper
Full Text :
https://doi.org/10.1051/0004-6361/201629895