Characterizing the Gaia radial velocity sample selection function in its native photometry

• Verfasst von: Rybizki, Jan [VerfasserIn]
• Verfasst von: Rix, Hans-Walter [VerfasserIn]
• Verfasst von: Demleitner, Markus [VerfasserIn]
• Verfasst von: Bailer-Jones, Coryn A. L. [VerfasserIn]
• Verfasst von: Cooper, William J [VerfasserIn]
• Titel: Characterizing the Gaia radial velocity sample selection function in its native photometry
• Verf.angabe: Jan Rybizki, Hans-Walter Rix, Markus Demleitner, Coryn AL Bailer-Jones and William J Cooper
• Jahr: 2021
• Jahr des Originals: 2020
• Umfang: 13 S.
• Teil: volume:500
• Teil: year:2021
• Teil: number:1
• Teil: pages:397-409
• Teil: extent:13
• Fussnoten: Published online: 20 October 2020 ; Gesehen am 12.02.2021
• Titel Quelle: Enthalten in: Royal Astronomical SocietyMonthly notices of the Royal Astronomical Society
• Ort Quelle: Oxford : Oxford Univ. Press, 1827
• Jahr Quelle: 2021
• Band/Heft Quelle: 500(2021), 1, Seite 397-409
• ISSN Quelle: 1365-2966
• DOI: doi:10.1093/mnras/staa3089
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1748141546

Abstract

The Gaia Data Release 2 (DR2) radial velocity sample (GDR2RVS), which provides six-dimensional phase-space information on 7.2 million stars, is of great value for inferring properties of the Milky Way. Yet a quantitative and accurate modelling of this sample is hindered without knowledge and inclusion of a well-characterized selection function. Here we derive the selection function through estimates of the internal completeness, i.e. the ratio of GDR2RVS sources compared to all Gaia DR2 sources (GDR2all). We show that this selection function or ‘completeness’ depends on basic observables, in particular the apparent magnitude GRVS and colour G − GRP, but also on the surrounding source density and on sky position, where the completeness exhibits distinct small-scale structure. We identify a region of magnitude and colour that has high completeness, providing an approximate but simple way of implementing the selection function. For a more rigorous and detailed description we provide python code to query our selection function, as well as tools and adql queries that produce custom selection functions with additional quality cuts.