NAOC Open IR
Double- and Triple-line Spectroscopic Candidates in the LAMOST Medium-Resolution Spectroscopic Survey
Li, Chun-qian1,2; Shi, Jian-rong1,2; Yan, Hong-liang1,2; Fu, Jian-Ning3; Li, Jia-dong1,2; Hou, Yong-Hui2,4
2021-10-01
Source PublicationASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
ISSN0067-0049
Volume256Issue:2Pages:12
AbstractThe LAMOST Medium-Resolution Spectroscopic Survey (LAMOST-MRS) provides an unprecedented opportunity for detecting multiline spectroscopic systems. Based on the cross correlation function and successive derivatives, we search for spectroscopic binaries and triples and derive their radial velocities (RVs) from the LAMOST-MRS spectra. A Monte Carlo simulation is adopted to estimate the RV uncertainties. After examining over 1.3 million LAMOST DR7 MRS blue-arm spectra, we obtain 3133 spectroscopic binary (SB) and 132 spectroscopic triple (ST) candidates, which account for 1.2% of the LAMOST-MRS stars. Over 95% of the candidates are newly discovered. It is found that all of the ST candidates are on the main sequence, while around 10% of the SB candidates may have one or two components on the red giant branch.
Funding OrganizationNational Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences and Alibaba Cloud ; Chinese Academy of Sciences and Alibaba Cloud ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; NAOC Nebula Talents Program ; NAOC Nebula Talents Program ; National Development and Reform Commission ; National Development and Reform Commission ; Astronomical Big Data Joint Research Center ; Astronomical Big Data Joint Research Center ; National Astronomical Observatories ; National Astronomical Observatories ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences and Alibaba Cloud ; Chinese Academy of Sciences and Alibaba Cloud ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; NAOC Nebula Talents Program ; NAOC Nebula Talents Program ; National Development and Reform Commission ; National Development and Reform Commission ; Astronomical Big Data Joint Research Center ; Astronomical Big Data Joint Research Center ; National Astronomical Observatories ; National Astronomical Observatories ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences and Alibaba Cloud ; Chinese Academy of Sciences and Alibaba Cloud ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; NAOC Nebula Talents Program ; NAOC Nebula Talents Program ; National Development and Reform Commission ; National Development and Reform Commission ; Astronomical Big Data Joint Research Center ; Astronomical Big Data Joint Research Center ; National Astronomical Observatories ; National Astronomical Observatories ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences and Alibaba Cloud ; Chinese Academy of Sciences and Alibaba Cloud ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; NAOC Nebula Talents Program ; NAOC Nebula Talents Program ; National Development and Reform Commission ; National Development and Reform Commission ; Astronomical Big Data Joint Research Center ; Astronomical Big Data Joint Research Center ; National Astronomical Observatories ; National Astronomical Observatories
DOI10.3847/1538-4365/ac22a8
WOS KeywordGENEVA-COPENHAGEN SURVEY ; SOLAR NEIGHBORHOOD ; NEURAL-NETWORK ; BINARY ; CLASSIFICATION ; DWARF ; STAR ; AGES
Language英语
Funding ProjectNational Key R&D Program of China[2019YFA0405502] ; National Natural Science Foundation of China[12090040] ; National Natural Science Foundation of China[12090042] ; National Natural Science Foundation of China[12090044] ; National Natural Science Foundation of China[11833002] ; National Natural Science Foundation of China[11833006] ; National Natural Science Foundation of China[12022304] ; National Natural Science Foundation of China[11973052] ; National Natural Science Foundation of China[11973042] ; National Natural Science Foundation of China[U1931102] ; Chinese Academy of Sciences and Alibaba Cloud ; Youth Innovation Promotion Association, Chinese Academy of Sciences[2019060] ; NAOC Nebula Talents Program ; National Development and Reform Commission ; Astronomical Big Data Joint Research Center ; National Astronomical Observatories
Funding OrganizationNational Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences and Alibaba Cloud ; Chinese Academy of Sciences and Alibaba Cloud ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; NAOC Nebula Talents Program ; NAOC Nebula Talents Program ; National Development and Reform Commission ; National Development and Reform Commission ; Astronomical Big Data Joint Research Center ; Astronomical Big Data Joint Research Center ; National Astronomical Observatories ; National Astronomical Observatories ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences and Alibaba Cloud ; Chinese Academy of Sciences and Alibaba Cloud ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; NAOC Nebula Talents Program ; NAOC Nebula Talents Program ; National Development and Reform Commission ; National Development and Reform Commission ; Astronomical Big Data Joint Research Center ; Astronomical Big Data Joint Research Center ; National Astronomical Observatories ; National Astronomical Observatories ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences and Alibaba Cloud ; Chinese Academy of Sciences and Alibaba Cloud ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; NAOC Nebula Talents Program ; NAOC Nebula Talents Program ; National Development and Reform Commission ; National Development and Reform Commission ; Astronomical Big Data Joint Research Center ; Astronomical Big Data Joint Research Center ; National Astronomical Observatories ; National Astronomical Observatories ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences and Alibaba Cloud ; Chinese Academy of Sciences and Alibaba Cloud ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; NAOC Nebula Talents Program ; NAOC Nebula Talents Program ; National Development and Reform Commission ; National Development and Reform Commission ; Astronomical Big Data Joint Research Center ; Astronomical Big Data Joint Research Center ; National Astronomical Observatories ; National Astronomical Observatories
WOS Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS IDWOS:000698812100001
PublisherIOP PUBLISHING LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/75734
Collection中国科学院国家天文台
Corresponding AuthorShi, Jian-rong
Affiliation1.Chinese Acad Sci, Natl Astron Observ, CAS Key Lab Opt Astron, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Sch Astron & Space Sci, Beijing 100049, Peoples R China
3.Beijing Normal Univ, Dept Astron, Beijing 100875, Peoples R China
4.Chinese Acad Sci, Nanjing Inst Astron Opt & Technol, Natl Astron Observ, Nanjing 210042, Peoples R China
Recommended Citation
GB/T 7714
Li, Chun-qian,Shi, Jian-rong,Yan, Hong-liang,et al. Double- and Triple-line Spectroscopic Candidates in the LAMOST Medium-Resolution Spectroscopic Survey[J]. ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,2021,256(2):12.
APA Li, Chun-qian,Shi, Jian-rong,Yan, Hong-liang,Fu, Jian-Ning,Li, Jia-dong,&Hou, Yong-Hui.(2021).Double- and Triple-line Spectroscopic Candidates in the LAMOST Medium-Resolution Spectroscopic Survey.ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,256(2),12.
MLA Li, Chun-qian,et al."Double- and Triple-line Spectroscopic Candidates in the LAMOST Medium-Resolution Spectroscopic Survey".ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES 256.2(2021):12.
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