论文标题

Lamost的RV变量星候选人的目录

A Catalog of RV Variable Star Candidates from LAMOST

论文作者

Tian, Zhijia, Liu, Xiaowei, Yuan, Haibo, Fang, Xuan, Chen, Bingqiu, Xiang, Maosheng, Huang, Yang, Bi, Shaolan, Yang, Wuming, Wu, Yaqian, Wang, Chun, Zhang, Huawei, Huo, Zhiying, Yang, Yong, Liu, Gaochao, Guo, Jincheng, Zhang, Meng

论文摘要

RV变量星在天体物理学中很重要。大型天空区域多对象光纤光谱望远镜(Lamost)光谱调查在其数据释放4(DR4)中提供了约650万光谱。在调查过程中,约有470万个独特的来源是针对的,并且反复观察到约100万颗恒星。通过将观察到的径向速度变化与模拟变化进行比较,可以估算恒星为RV变量的概率。我们通过分析Lamost DR4覆盖的重复观察到的多上述源,构建了80,702 RV变量候选的目录,概率大于0.60。模拟和跨标识表明,目录的纯度高于80%。该目录由77%的二元系统和7%的脉动恒星以及单星污染16%。 3,138个RV变量是通过在文献中发表的结果进行的交叉识别来分类的。通过使用LAMOST共有的3,138个来源和已发布的RV变量目录的集合,我们可以分析Lamost的RV变量检测率。这项工作中采用的方法的效率不仅取决于观察的采样频率,还取决于RV变量的周期和幅度。随着Lamost,Gaia和其他调查的进展,将越来越多的RV变量得到确认和分类。该目录对于其他大规模调查非常有价值,尤其是对于RV变量搜索。该目录将根据http://dr4.lamost.org的Lamost数据政策发布。

RV variable stars are important in astrophysics. The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) spectroscopic survey has provided ~ 6.5 million stellar spectra in its Data Release 4 (DR4). During the survey, ~ 4.7 million unique sources were targeted and ~ 1 million stars observed repeatedly. The probabilities of stars being RV variables are estimated by comparing the observed radial velocity variations with the simulated ones. We build a catalog of 80,702 RV variable candidates with probability greater than 0.60 by analyzing the duplicate-observed multi-epoch sources covered by the LAMOST DR4. Simulations and cross-identifications show that the purity of the catalog is higher than 80%. The catalog consists of 77% binary systems and 7% pulsating stars as well as 16% pollution by single stars. 3,138 RV variables are classified through cross-identifications with published results in literatures. By using the 3,138 sources common to both LAMOST and a collection of published RV variable catalogs we are able to analyze LAMOST's RV variable detection rate. The efficiency of the method adopted in this work relies not only on the sampling frequency of observations but also periods and amplitudes of RV variables. With the progress of LAMOST, Gaia and other surveys, more and more RV variables would will be confirmed and classified. This catalog is valuable for other large-scale surveys, especially for RV variable searches. The catalog will be released according to the LAMOST Data Policy via http://dr4.lamost.org.

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