http://arxiv.org/abs/2008.09096
The Gaia DR2 radial velocity sample (GDR2_RVS) of 7.2 million stars, the only Gaia DR2 sub-sample to provide six-dimensional phase-space information, has been of paramount importance to infer properties of the Milky Way. Yet no quantitative and accurate modelling of this GDR2_RVS sample is possible without knowledge and inclusion of a well-characterized selection function. Here we show how the GDR2_RVS selection function or ‘completeness’ depends on basic observables, foremost on the apparent magnitude G_RVS and color G-G_RP, but also on the surrounding source density and on sky position, where the completeness exhibits distinct small-scale structure. We derive the selection function through estimates of the internal completeness, i.e. the ratio of GDR2_RVS sources compared to all Gaia DR2 sources (GDR2_all). A simple but approximate way to cast the selection function is through the recommendation of high-completeness magnitude and colour ranges: 2.95 < G_RVS < 12.05 and 0.35 < G-G_RP < 1.25. For a more rigorous and detailed description, we provide a python function to query our selection function, as well as tools and ADQL queries that produce custom selection functions with additional quality cuts.
J. Rybizki, H. Rix, M. Demleitner, et. al.
Fri, 21 Aug 20
-1142/51
Comments: 12 pages, 16 figures, 21 footnotes; Comments welcome; Resubmission to MNRAS after adressing comments from first referee report. Relevant python code can be found here: this https URL ; Interactive visualisations are available here: this https URL
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