Estimating Distance from Parallaxes. IV. Distances to 1.33 Billion Stars in Gaia Data Release 2

Estimating Distance from Parallaxes. IV. Distances to 1.33 Billion Stars in Gaia Data Release 2
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DOI:
10.3847/1538-3881/aacb21
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发表时间:
2018-04
期刊:
The Astronomical Journal
影响因子:
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通讯作者:
C. Bailer-Jones;J. Rybizki;M. Fouesneau;G. Mantelet;R. Andrae
C. Bailer-Jones;J. Rybizki;M. Fouesneau;G. Mantelet;R. Andrae
中科院分区:
其他
文献类型:
--
作者:
C. Bailer-Jones;J. Rybizki;M. Fouesneau;G. Mantelet;R. Andrae

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对于第二次盖亚数据发布中的绝大多数恒星,通过反转视差无法获得可靠的距离。相反,必须使用正确的推理程序来解释变换的非线性和所得概率分布的不对称性。在这里,我们推断了基本上所有13.3亿颗恒星的距离,这些恒星的距离在第二次盖亚数据发布中公布。这是通过使用弱距离先验来完成的,该先验根据银河系模型作为银河系经度和纬度的函数平滑地变化。距离估计中不可约的不确定性的特征在于非对称置信区间的上下界。虽然更精确的距离可以估计的恒星的一个子集使用额外的数据(如测光),我们的目标是提供纯粹的几何距离估计,独立的物理性质的假设,或对星际灭绝,个别恒星。我们分析了目录的特点,并使用集群进行验证。该星表可以在http://gaia.ari.uni-heidelberg.de/tap.html(也是Gaia星表的宿主)上使用ADQL查询,也可以从http://www.mpia.de/~calj/gdr2_distances.html下载。
For the vast majority of stars in the second Gaia data release, reliable distances cannot be obtained by inverting the parallax. A correct inference procedure must instead be used to account for the nonlinearity of the transformation and the asymmetry of the resulting probability distribution. Here, we infer distances to essentially all 1.33 billion stars with parallaxes published in the second Gaia data release. This is done using a weak distance prior that varies smoothly as a function of Galactic longitude and latitude according to a Galaxy model. The irreducible uncertainty in the distance estimate is characterized by the lower and upper bounds of an asymmetric confidence interval. Although more precise distances can be estimated for a subset of the stars using additional data (such as photometry), our goal is to provide purely geometric distance estimates, independent of assumptions about the physical properties of, or interstellar extinction toward, individual stars. We analyze the characteristics of the catalog and validate it using clusters. The catalog can be queried using ADQL at http://gaia.ari.uni-heidelberg.de/tap.html (which also hosts the Gaia catalog) and downloaded from http://www.mpia.de/~calj/gdr2_distances.html.