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

被引:1289
作者
Bailer-Jones, C. A. L. [1 ]
Rybizki, J. [1 ]
Fouesneau, M. [1 ]
Mantelet, G. [2 ]
Andrae, R. [1 ]
机构
[1] Max Planck Inst Astron, Heidelberg, Germany
[2] Heidelberg Univ, Zentrum Astron, Astron Rechen Inst, Heidelberg, Germany
关键词
catalogs; Galaxy: structure; methods: statistical; stars: distances;
D O I
10.3847/1538-3881/aacb21
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
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/similar to calj/gdr2_distances.html.
引用
收藏
页数:11
相关论文
共 19 条
[1]  
Anderson L., 2017, ARXIV170605055
[2]  
Arenou F., 2018, ARXIV180409375
[3]   ESTIMATING DISTANCES FROM PARALLAXES. III. DISTANCES OF TWO MILLION STARS IN THE Gaia DR1 CATALOGUE [J].
Astraatmadja, Tri L. ;
Bailer-Jones, Coryn A. L. .
ASTROPHYSICAL JOURNAL, 2016, 833 (01)
[4]   ESTIMATING DISTANCES FROM PARALLAXES. II. PERFORMANCE OF BAYESIAN DISTANCE ESTIMATORS ON A GAIA-LIKE CATALOGUE [J].
Astraatmadja, Tri L. ;
Bailer-Jones, Coryn A. L. .
ASTROPHYSICAL JOURNAL, 2016, 832 (02)
[5]  
Bailer-Jones C.A. L., 2017, PRACTICAL BAYESIAN I
[6]   Estimating Distances from Parallaxes [J].
Bailer-Jones, Coryn A. L. .
PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC, 2015, 127 (956) :994-1009
[7]   Characterising open clusters in the solar neighbourhood with the Tycho-Gaia Astrometric Solution [J].
Cantat-Gaudin, T. ;
Vallenari, A. ;
Sordo, R. ;
Pensabene, F. ;
Krone-Martins, A. ;
Moitinho, A. ;
Jordi, C. ;
Casamiquela, L. ;
Balaguer-Nunez, L. ;
Soubiran, C. ;
Brouillet, N. .
ASTRONOMY & ASTROPHYSICS, 2018, 615
[8]  
Coronado J, 2018, MNRAS
[9]  
Gaia Collaboration, 2018, A A
[10]   Computing and graphing highest density regions [J].
Hyndman, RJ .
AMERICAN STATISTICIAN, 1996, 50 (02) :120-126