Minute-Cadence Observations of the LAMOST Fields with the TMTS V. Machine Learning Classification of TMTS Catalogues of Periodic Variable Stars

Fangzhou Guo; Jie Lin; Xiaofeng Wang; Xiaodian Chen; Tanda Li; Liyang Chen; Qiqi Xia; Jun Mo; Gaobo Xi; Jicheng Zhang; Qichun Liu; Xiaojun Jiang; Shengyu Yan; Haowei Peng; Jialian Liu; Wenxiong Li; Weili Lin; Danfeng Xiang; Xiaoran Ma; Yongzhi Cai

arXiv · 2402.02604

Minute-Cadence Observations of the LAMOST Fields with the TMTS V. Machine Learning Classification of TMTS Catalogues of Periodic Variable Stars

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Abstract

Periodic variables are always of great scientific interest in astrophysics. Thanks to the rapid advancement of modern large-scale time-domain surveys, the number of reported variable stars has experienced substantial growth for several decades, which significantly deepened our comprehension of stellar structure and binary evolution. The Tsinghua University-Ma Huateng Telescopes for Survey (TMTS) has started to monitor the LAMOST sky areas since 2020, with a cadence of 1 minute. During the period from 2020 to 2022, this survey has resulted in densely sampled light curves for ~ 30,000 variables of the maximum powers in the Lomb-Scargle periodogram above the 5sigma threshold. In this paper, we classified 11,638 variable stars into 6 main types using XGBoost and Random Forest classifiers with accuracies of 98.83% and 98.73%, respectively. Among them, 5301 (45.55%) variables are newly discovered, primarily consisting of Delta Scuti stars, demonstrating the capability of TMTS in searching for short-period variables. We cross-matched the catalogue with Gaia's second Data Release (DR2) and LAMOST's seventh Data Release (DR7) to obtain important physical parameters of the variables. We identified 5504 Delta Scuti stars (including 4876 typical Delta Scuti stars and 628 high-amplitude Delta Scuti stars), 5899 eclipsing binaries (including EA-, EB- and EW-type) and 226 candidates of RS Canum Venaticorum. Leveraging the metal abundance data provided by LAMOST and the Galactic latitude, we discovered 8 candidates of SX Phe stars within the class of "Delta Scuti stars". Moreover, with the help of Gaia color-magnitude diagram, we identified 9 ZZ ceti stars.

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Fangzhou Guo, Jie Lin, Xiaofeng Wang, Xiaodian Chen, Tanda Li, Liyang Chen, Qiqi Xia, Jun Mo, Gaobo Xi, Jicheng Zhang, Qichun Liu, Xiaojun Jiang, Shengyu Yan, Haowei Peng, Jialian Liu, Wenxiong Li, Weili Lin, Danfeng Xiang, Xiaoran Ma, Yongzhi Cai. 2024-02-04. Minute-Cadence Observations of the LAMOST Fields with the TMTS V. Machine Learning Classification of TMTS Catalogues of Periodic Variable Stars. https://arxiv.org/abs/2402.02604

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