中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 云南天文台
  3. 中国科学院云南天文台
  4. 天体测量及应用研究组
Predicting astrometric microlensing events from Gaia Data Release 3

文献类型：期刊论文

作者Su J(苏婕)1,2,4,5; Wang JC(王建成)1,2,5; Zhang, Yigong3; Cheng XM(程向明)1,2,4,5; Yang L(杨磊)1,2,5
刊名MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
出版日期2023-10-28
卷号527期号:1页码:1177-1193
ISSN号0035-8711
关键词gravitational lensing: micro methods: data analysis astrometry
DOI10.1093/mnras/stad3022
产权排序第1完成单位
文献子类Article
英文摘要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.
学科主题天文学
URL标识查看原文
出版地GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
WOS关键词WHITE-DWARF ; CROSS-MATCH ; BLACK-HOLE ; MASS ; ASTROPY ; VALIDATION ; PHOTOMETRY ; CATALOG ; PACKAGE ; PROJECT
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]
WOS研究方向Astronomy & Astrophysics
语种英语
出版者OXFORD UNIV PRESS
WOS记录号WOS:001102991000010
资助机构National Natural Science Foundation of China[11403101, 12173085] ; Training Object Project of technological innovation talents in Yunnan Province[202305AD160004]
版本出版稿
源URL[http://ir.ynao.ac.cn/handle/114a53/26526]  
专题云南天文台_天体测量及应用研究组
云南天文台_射电天文研究组
云南天文台_中国科学院天体结构与演化重点实验室
作者单位1.Center for Astronomical Mega-Science, Chinese Academy of Sciences, Beijing 100012, China;
2.Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, China;
3.College of Information Engineering, Kunming University, Kunming 650214, China
4.University of Chinese Academy of Sciences, Beijing 100049, China;
5.Key Laboratory for the Structure and Evolution of Celestial Objects,Chinese Academy of Sciences, Kunming 650216, China;
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.

入库方式： OAI收割

来源：云南天文台

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。