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Spectroscopically Identified Cataclysmic Variables from the LAMOST Survey. I. The Sample
Hou,Wen1; Luo,A-li1,2,3,4; Li,Yin-Bi1; Qin,Li1,2,3
2020-01-10
Source PublicationThe Astronomical Journal
ISSN0004-6256
Volume159Issue:2
AbstractAbstract A sample of cataclysmic variables (CVs) is presented including spectroscopically identified 380 spectra of 245 objects, of which 58 CV candidates are new discoveries. The BaggingTopPush and the Random Forest algorithms are applied to the Fifth Data Release (DR5) of the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) to retrieve CVs with strong emission lines and with broad absorption lines respectively. Based on spectroscopic classification, 134 dwarf novae, 41 nova-like variables, and 19 magnetic CVs are identified from the sample. In addition, 89 high-inclination systems and 33 CVs showing companion stars are recognized and discussed for their distinct spectral characteristics. Comparisons between CVs from LAMOST and from published catalogs are made in spatial and magnitude distribution, and the difference of their locus in the Gaia color–absolute magnitude diagram (CaMD) are also investigated. More interestingly, for two dwarf novae observed through LAMOST and SDSS in different epochs, their spectra both in quiescence phase and during outburst are exhibited.
KeywordCataclysmic variable stars Dwarf novae Nova-like variable stars Catalogs Astronomy data analysis
DOI10.3847/1538-3881/ab5962
Language英语
WOS IDIOP:0004-6256-159-2-ab5962
PublisherThe American Astronomical Society
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Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/28713
Collection中国科学院国家天文台
Affiliation1.Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing, 100101, People’s Republic of China; lal@nao.cas.cn, whou@nao.cas.cn
2.University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
3.School of Information Management & Institute for Astronomical Science, Dezhou University, Dezhou 253023, People’s Republic of China
4.Department of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA
First Author AffilicationNational Astronomical Observatories, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Hou,Wen,Luo,A-li,Li,Yin-Bi,et al. Spectroscopically Identified Cataclysmic Variables from the LAMOST Survey. I. The Sample[J]. The Astronomical Journal,2020,159(2).
APA Hou,Wen,Luo,A-li,Li,Yin-Bi,&Qin,Li.(2020).Spectroscopically Identified Cataclysmic Variables from the LAMOST Survey. I. The Sample.The Astronomical Journal,159(2).
MLA Hou,Wen,et al."Spectroscopically Identified Cataclysmic Variables from the LAMOST Survey. I. The Sample".The Astronomical Journal 159.2(2020).
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