A catalogue of 74 new open clusters found in Gaia Data-Release 2

• Published in: Research in astronomy and astrophysics Vol. 21; no. 4; pp. 93 - 146
• Main Authors: He, Zhi-Hong, Xu, Ye, Hao, Chao-Jie, Wu, Zhen-Yu, Li, Jing-Jing
• Format: Journal Article
• Language: English
• Published: Beijing National Astronomical Observatories, CAS and IOP Publishing Ltd 01.05.2021; IOP Publishing; Purple Mountain Observatory,Chinese Academy of Sciences,Nanjing 210023,China; Key Laboratory of Optical Astronomy,National Astronomical Observatories,Chinese Academy of Sciences,Beijing 100101,China; University of Science and Technology of China,Hefei 230026,China%Purple Mountain Observatory,Chinese Academy of Sciences,Nanjing 210023,China%National Astronomical Observatories,Chinese Academy of Sciences,Beijing 100101,China
• Subjects: Candidates; Galaxy: open clusters and associations; Machine learning; methods: data analysis; Milky Way; Open clusters; Physical properties; Star clusters; surveys; surveys; Galaxy:open clusters and associations; methods:data analysis
• ISSN: 1674-4527
• DOI: 10.1088/1674-4527/21/4/93

Based on astrometric data from Gaia Data-Release 2 (DR2), we employ an unsupervised machine learning method to blindly search for open star clusters in the Milky Way within the Galactic latitude range of | b | < 20°. In addition to 2080 known clusters, 74 new open cluster candidates are found. In this work, we present the positions, apparent radii, parallaxes, proper motions and member stars of these candidates. Meanwhile, to obtain the physical parameters of each candidate cluster, stellar isochrones are fit to the photometric data. The results show that the apparent radii and the observed proper motion dispersions of these new candidates are consistent with those of open clusters previously identified in Gaia DR2.