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  • 标题:Gaia Data Release 1 - Catalogue validation
  • 其他标题:Catalogue validation
  • 本地全文:下载
  • 作者:F. Arenou ; F. Arenou ; X. Luri
  • 期刊名称:Astronomy & Astrophysics
  • 印刷版ISSN:0004-6361
  • 电子版ISSN:1432-0746
  • 出版年度:2017
  • 卷号:599
  • 页码:1-35
  • DOI:10.1051/0004-6361/201629895
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Context. Before the publication of the Gaia Catalogue, the contents of the first data release have undergone multiple dedicated validation tests. Aims. These tests aim to provide in-depth analysis of the Catalogue content in order to detect anomalies and individual problems in specific objects or in overall statistical properties, and either to filter them before the public release or to describe the different caveats on the release for an optimal exploitation of the data. Methods. Dedicated methods using either Gaia internal data, external catalogues, or models have been developed for the validation processes. They test normal stars as well as various populations such as open or globular clusters, double stars, variable stars, and quasars. Properties of coverage, accuracy, and precision of the data are provided by the numerous tests presented here and are jointly analysed to assess the data release content. Results. 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, and astrometric or 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.
  • 关键词:astrometry;parallaxes;proper motions;methods: data analysis;surveys;catalogs
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