Predicting astrometric microlensing events from Gaia Data Release 3

doi:10.1093/mnras/stad3022

YNAO OpenIR > 天体测量技术及应用研究组

	Predicting astrometric microlensing events from Gaia Data Release 3
	Su J(苏婕)1,2,3,4 ; Wang JC(王建成)1,2,3 ; Zhang, Yigong 5; Cheng XM(程向明)1,2,3,4 ; Yang L(杨磊)1,2,3
发表期刊	MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
	2023-10-28
卷号	527 期号:1 页码:1177-1193
DOI	10.1093/mnras/stad3022
产权排序	第1完成单位
收录类别	SCI ; EI
关键词	gravitational lensing: micro methods: data analysis astrometry
摘要	Currently, astrometric microlensing is the only tool that can directly measure the mass of a single star; it can also help us to detect compact objects such as isolated neutron stars and black holes. The number of microlensing events that are being predicted and reported is increasing. In this paper, potential lens stars are selected from three types of stars: high-proper-motion stars, nearby stars, and high-mass stars. For each potential lens star, we select a larger search scope to find possible matching sources and to avoid missing events as much as possible. Using data from Gaia Data Release 3, we predict 4500 astrometric microlensing events with delta theta(+) > 0.1 mas, which occur between J2010.0 and J2070.0, where 1664 events are different from those found previously. There are 293 lens stars that can cause two or more events, where five lens stars can cause more than 50 events. We find that 116 events have the distance of background stars from the proper motion path of lens stars more than 8 arcsec in the reference epoch, where the maximum distance is 166. Thus, the cone search method of expanding the search range of sources for each potential lens star can reduce the possibility of missing events.
资助项目	National Natural Science Foundation of China[11403101]; National Natural Science Foundation of China[12173085]; Training Object Project of technological innovation talents in Yunnan Province[202305AD160004]; China Manned Space ProjecT
项目资助者	National Natural Science Foundation of China[11403101, 12173085] ; Training Object Project of technological innovation talents in Yunnan Province[202305AD160004] ; China Manned Space ProjecT
语种	英语
学科领域	天文学 ; 天体测量学
文章类型	Article
出版者	OXFORD UNIV PRESS
出版地	GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
ISSN	0035-8711
URL	查看原文
WOS记录号	WOS:001271977600013
WOS研究方向	Astronomy & Astrophysics
WOS类目	Astronomy & Astrophysics
关键词[WOS]	WHITE-DWARF ; CROSS-MATCH ; BLACK-HOLE ; MASS ; ASTROPY ; VALIDATION ; PACKAGE ; PROJECT ; STARS ; VVV
EI入藏号	20234715100337
EI主题词	Object detection
EI分类号	657.2 Extraterrestrial Physics and Stellar Phenomena - 723.2 Data Processing and Image Processing
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
版本	出版稿
条目标识符	http://ir.ynao.ac.cn/handle/114a53/26526
专题	天体测量技术及应用研究组射电天文研究组中国科学院天体结构与演化重点实验室
作者单位	1.Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, China; 2.Key Laboratory for the Structure and Evolution of Celestial Objects,Chinese Academy of Sciences, Kunming 650216, China; 3.Center for Astronomical Mega-Science, Chinese Academy of Sciences, Beijing 100012, China; 4.University of Chinese Academy of Sciences, Beijing 100049, China; 5.College of Information Engineering, Kunming University, Kunming 650214, China
第一作者单位	中国科学院云南天文台
推荐引用方式 GB/T 7714	Su J,Wang JC,Zhang, Yigong,et al. Predicting astrometric microlensing events from Gaia Data Release 3[J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,2023,527(1):1177-1193.
APA	苏婕,王建成,Zhang, Yigong,程向明,&杨磊.(2023).Predicting astrometric microlensing events from Gaia Data Release 3.MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,527(1),1177-1193.
MLA	苏婕,et al."Predicting astrometric microlensing events from Gaia Data Release 3".MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 527.1(2023):1177-1193.

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