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Article: A Catalog of RV Variable Star Candidates from LAMOST

TitleA Catalog of RV Variable Star Candidates from LAMOST
Authors
KeywordsVariable stars
Catalogs
Radial velocity
Extrinsic variable stars
Intrinsic variable stars
Binary stars
Pulsating variable stars
Star counts
Stellar astronomy
Astrostatistics
Spectroscopy
Surveys
Issue Date2020
PublisherAmerican Astronomical Society.
Citation
The Astrophysical Journal Supplement Series, 2020, v. 249 n. 2, article no. 22 How to Cite?
AbstractRadial velocity (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 RV variations with simulated ones. We build a catalog of 80,702 RV variable candidates with probability greater than 0.60 by analyzing the multi-epoch sources covered by 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. 3138 RV variables are classified through cross-identifications with published results in literatures. By using the 3138 sources common in 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 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.
Persistent Identifierhttp://hdl.handle.net/10722/286320
ISSN
2019 Impact Factor: 7.95
2015 SCImago Journal Rankings: 6.522
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorTian, Z-
dc.contributor.authorLiu, X-
dc.contributor.authorYuan, H-
dc.contributor.authorFang, X-
dc.contributor.authorChen, B-
dc.contributor.authorXiang, M-
dc.contributor.authorHuang, Y-
dc.contributor.authorBi, S-
dc.contributor.authorYang, W-
dc.contributor.authorWu, Y-
dc.contributor.authorWang, C-
dc.contributor.authorZhang, H-
dc.contributor.authorHuo, Z-
dc.contributor.authorYang, Y-
dc.contributor.authorLiu, G-
dc.contributor.authorGuo, J-
dc.contributor.authorZhang, M-
dc.date.accessioned2020-08-31T07:02:14Z-
dc.date.available2020-08-31T07:02:14Z-
dc.date.issued2020-
dc.identifier.citationThe Astrophysical Journal Supplement Series, 2020, v. 249 n. 2, article no. 22-
dc.identifier.issn0067-0049-
dc.identifier.urihttp://hdl.handle.net/10722/286320-
dc.description.abstractRadial velocity (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 RV variations with simulated ones. We build a catalog of 80,702 RV variable candidates with probability greater than 0.60 by analyzing the multi-epoch sources covered by 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. 3138 RV variables are classified through cross-identifications with published results in literatures. By using the 3138 sources common in 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 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.-
dc.languageeng-
dc.publisherAmerican Astronomical Society.-
dc.relation.ispartofThe Astrophysical Journal Supplement Series-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectVariable stars-
dc.subjectCatalogs-
dc.subjectRadial velocity-
dc.subjectExtrinsic variable stars-
dc.subjectIntrinsic variable stars-
dc.subjectBinary stars-
dc.subjectPulsating variable stars-
dc.subjectStar counts-
dc.subjectStellar astronomy-
dc.subjectAstrostatistics-
dc.subjectSpectroscopy-
dc.subjectSurveys-
dc.titleA Catalog of RV Variable Star Candidates from LAMOST-
dc.typeArticle-
dc.identifier.emailFang, X: fangx@hku.hk-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.3847/1538-4365/ab9904-
dc.identifier.scopuseid_2-s2.0-85091193377-
dc.identifier.hkuros313894-
dc.identifier.volume249-
dc.identifier.issue2-
dc.identifier.spagearticle no. 22-
dc.identifier.epagearticle no. 22-
dc.identifier.isiWOS:000556829300001-
dc.publisher.placeUnited States-

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