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Identification of temperature anomaly RR Lyrae stars in LAMOST survey,misclassification and binarities

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摘要 RR Lyrae stars,a well-known type of pulsating variable stars,have been known about for more than a century.A large amount of photometric data on RR Lyrae stars has been accumulated by space-and ground-based sky surveys,but the spectral data are relatively poor.Fortunately,the LAMOST sky survey project provides an opportunity to view them from the point of view of spectra.We collect the atmospheric parameters of 1685 RR Lyrae stars provided by the LAMOST catalog,and carry out research by using the reliable Teff.We find that there is a clear correlation between their Teff and pulsation periods,which is consistent with the pulsation and evolution theories of RR Lyrae stars.In addition,we focus on those RR Lyrae stars with abnormal temperatures.After analyzing the data from several photometric surveys,we find that some of these temperature anomalies are misclassified variable stars(e.g.,eclipsing binaries,pulsating stars on main sequence),and some are RR Lyrae binary candidates.For the latter,the temperatures of potential companions should be lower and their luminosities should not be neglected(e.g.,red giant stars).We obtain that the ratio of temperature anomaly stars to all the sample stars is 4%,which means that the impact on the further analysis(e.g.,kinematics analysis)is low.We also present the catalogs of spectral anomaly RR Lyrae stars.
出处 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2020年第6期239-252,共14页 天文和天体物理学研究(英文版)
基金 Guo Shou Jing Telescope(the Large Sky Area Multi-Object Fiber Spectroscopic Telescope LAMOST)is a National Major Scientific Project built by the Chinese Academy of Sciences Funding for the project has been provided by the National Development and Reform Commission.LAMOST is operated and managed by the National Astronomical Observatories,Chinese Academy of Sciences supported by the National Natural Science Foundation of China(Grant Nos.11803084,11703082,11325315,11573063 and 11611530685) the Key Science Foundation of Yunnan Province(No.2017FA001) Funding for the DPAC has been provided by national institutions,in particular the institutions participating in the Gaia Multilateral Agreement。
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