Classification of Periodic Variable Stars from TESS
The number of known periodic variable stars has increased rapidly in recent years. As an all-sky transit survey, the Transiting Exoplanet Survey Satellite (TESS) plays an important role in detecting low-amplitude variable stars. Using 2 minute cadence data from the first 67 sectors of TESS, we find...
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2025-01-01
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author | Xinyi Gao Xiaodian Chen Shu Wang Jifeng Liu |
author_facet | Xinyi Gao Xiaodian Chen Shu Wang Jifeng Liu |
author_sort | Xinyi Gao |
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description | The number of known periodic variable stars has increased rapidly in recent years. As an all-sky transit survey, the Transiting Exoplanet Survey Satellite (TESS) plays an important role in detecting low-amplitude variable stars. Using 2 minute cadence data from the first 67 sectors of TESS, we find 72,505 periodic variable stars. We used 19 parameters including period, physical parameters, and light-curve (LC) parameters to classify periodic variable stars into 12 subtypes using the random forest method. Pulsating variable stars and eclipsing binaries are distinguished mainly by period, LC parameters, and physical parameters. Classical Cepheids, Type-II Cepheids, rotational variable stars, eruptive variable stars of the UV Ceti type, and young stellar objects are distinguished mainly by period and physical parameters. Compared to previously published catalogs, 63,106 periodic variable stars (87.0%) are newly classified, including 13 Cepheids, 27 RR Lyrae stars, ~4600 δ Scuti variable stars, ~1600 eclipsing binaries, ~34,000 rotational variable stars, and about 23,000 other types of variable star. The purity of eclipsing binaries and pulsation variable stars ranges from 94.2% to 99.4% when compared to the variable star catalogs of Gaia Data Release 3 and Zwicky Transient Facility Data Release 2. The purity of rotational variable stars is relatively low at 83.3%. The increasing number of variables stars is helpful to investigate the structure of the Milky Way, stellar physics, and chromospheric activity. |
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spelling | doaj-art-6811ca6a640e4882997af9f86fad36fa2025-01-22T08:58:25ZengIOP PublishingThe Astrophysical Journal Supplement Series0067-00492025-01-0127625710.3847/1538-4365/ad9dd6Classification of Periodic Variable Stars from TESSXinyi Gao0Xiaodian Chen1https://orcid.org/0000-0001-7084-0484Shu Wang2https://orcid.org/0000-0003-4489-9794Jifeng Liu3CAS Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences , Beijing 100101, People's Republic of China ; chenxiaodian@nao.cas.cn; School of Astronomy and Space Science, University of the Chinese Academy of Sciences , Beijing 100049, People's Republic of ChinaCAS Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences , Beijing 100101, People's Republic of China ; chenxiaodian@nao.cas.cn; School of Astronomy and Space Science, University of the Chinese Academy of Sciences , Beijing 100049, People's Republic of ChinaCAS Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences , Beijing 100101, People's Republic of China ; chenxiaodian@nao.cas.cnCAS Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences , Beijing 100101, People's Republic of China ; chenxiaodian@nao.cas.cn; School of Astronomy and Space Science, University of the Chinese Academy of Sciences , Beijing 100049, People's Republic of ChinaThe number of known periodic variable stars has increased rapidly in recent years. As an all-sky transit survey, the Transiting Exoplanet Survey Satellite (TESS) plays an important role in detecting low-amplitude variable stars. Using 2 minute cadence data from the first 67 sectors of TESS, we find 72,505 periodic variable stars. We used 19 parameters including period, physical parameters, and light-curve (LC) parameters to classify periodic variable stars into 12 subtypes using the random forest method. Pulsating variable stars and eclipsing binaries are distinguished mainly by period, LC parameters, and physical parameters. Classical Cepheids, Type-II Cepheids, rotational variable stars, eruptive variable stars of the UV Ceti type, and young stellar objects are distinguished mainly by period and physical parameters. Compared to previously published catalogs, 63,106 periodic variable stars (87.0%) are newly classified, including 13 Cepheids, 27 RR Lyrae stars, ~4600 δ Scuti variable stars, ~1600 eclipsing binaries, ~34,000 rotational variable stars, and about 23,000 other types of variable star. The purity of eclipsing binaries and pulsation variable stars ranges from 94.2% to 99.4% when compared to the variable star catalogs of Gaia Data Release 3 and Zwicky Transient Facility Data Release 2. The purity of rotational variable stars is relatively low at 83.3%. The increasing number of variables stars is helpful to investigate the structure of the Milky Way, stellar physics, and chromospheric activity.https://doi.org/10.3847/1538-4365/ad9dd6Periodic variable starsLight curvesCatalogsPulsating variable starsCepheid variable starsRR Lyrae variable stars |
spellingShingle | Xinyi Gao Xiaodian Chen Shu Wang Jifeng Liu Classification of Periodic Variable Stars from TESS The Astrophysical Journal Supplement Series Periodic variable stars Light curves Catalogs Pulsating variable stars Cepheid variable stars RR Lyrae variable stars |
title | Classification of Periodic Variable Stars from TESS |
title_full | Classification of Periodic Variable Stars from TESS |
title_fullStr | Classification of Periodic Variable Stars from TESS |
title_full_unstemmed | Classification of Periodic Variable Stars from TESS |
title_short | Classification of Periodic Variable Stars from TESS |
title_sort | classification of periodic variable stars from tess |
topic | Periodic variable stars Light curves Catalogs Pulsating variable stars Cepheid variable stars RR Lyrae variable stars |
url | https://doi.org/10.3847/1538-4365/ad9dd6 |
work_keys_str_mv | AT xinyigao classificationofperiodicvariablestarsfromtess AT xiaodianchen classificationofperiodicvariablestarsfromtess AT shuwang classificationofperiodicvariablestarsfromtess AT jifengliu classificationofperiodicvariablestarsfromtess |