论文标题
GAIA DR2，PAN-Starrs 1和ASAS-SN-II RR Lyrae目录的经验完整性评估
Empirical completeness assessment of the Gaia DR2, Pan-STARRS 1 and ASAS-SN-II RR Lyrae catalogues
论文作者
论文摘要
RR Lyrae星是我们银河系中最古老的人群中重要且广泛使用的示踪剂，这主要是由于其标准蜡烛性质。可变星的大规模调查的可用性使我们能够追踪整个星系的结构，即使在以前无法接近的区域（如银河盘）中。在这项工作中，我们旨在对可用的三个最大RR Lyrae目录的完整性进行经验评估：GAIA DR2，PANSTARRS-1和ASAS-SN-II。使用三个调查的联合概率分析，我们在每个调查的全幅度范围内计算2D和3D完整性图。在亮端（g <13），我们发现在高纬度的rrab中，ASAS-SN-II和GAIA接近100％（| b |> 20deg）； ASAS-SN-II在RRAB的低纬度和RRC的所有纬度方面具有最好的完整性。在微弱的末端（g> 13），Gaia Dr2是两种RR Lyrae类型的最完整目录，在任何纬度上，中位完整性率为95％（RRAB）（RRAB）和> 85％（RRC）（RRC）（rrc）（|β|> 25DEG）。我们确认Panstarrs-1 Rr Lyrae的高度完整性为91％（RRAB）和82％（RRC）至G〜18，并在低银河纬度（| b | <20deg）下以估计的中间65％（RRAB）和50-60％（RRC）提供了其完整性的第一个估计值。我们的结果公开可作为2D和3D完整性图，以及评估每个调查的完整性与距离或每条视线的功能。
RR Lyrae stars are an important and widely used tracer of the most ancient populations of our Galaxy, mainly due to their standard candle nature. The availability of large scale surveys of variable stars is allowing us to trace the structure of our entire Galaxy, even in previously inaccessible areas like the Galactic disc. In this work we aim to provide an empirical assessment of the completeness of the three largest RR Lyrae catalogues available: Gaia DR2, PanSTARRS-1 and ASAS-SN-II. Using a joint probabilistic analysis of the three surveys we compute 2D and 3D completeness maps in each survey's full magnitude range. At the bright end (G<13) we find ASAS-SN-II and Gaia are near 100% complete in RRab at high latitude (|b|>20deg); ASAS-SN-II has the best completeness at low latitude for RRab and at all latitudes for RRc. At the faint end (G>13), Gaia DR2 is the most complete catalogue for both RR Lyrae types, at any latitude, with median completeness rates of 95% (RRab) and >85% (RRc) outside the ecliptic plane (|β|>25deg). We confirm a high and uniform completeness of PanSTARRS-1 RR Lyrae at 91% (RRab) and 82% (RRc) down to G~18, and provide the first estimate of its completeness at low galactic latitude (|b|<20deg) at an estimated median 65% (RRab) and 50-60% (RRc). Our results are publicly available as 2D and 3D completeness maps, and as functions to evaluate each survey's completeness versus distance or per line-of sight.
