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Age Determination of LAMOST Red Giant Branch Stars Based on the Gradient Boosting Decision Tree Method
Wang, Hai-Feng1; Carraro, Giovanni1; Li, Xin2; Li QD(李启达)3; Spina, Lorenzo4; Chen, Li5; Wang, Guan-Yu2; Deng, Li-Cai6
发表期刊ASTROPHYSICAL JOURNAL
2024-05-01
卷号967期号:1
DOI10.3847/1538-4357/ad3b90
产权排序第3完成单位
收录类别SCI
摘要In this study, we estimate the stellar ages of LAMOST DR8 red giant branch (RGB) stars based on the gradient boosting decision tree (GBDT) algorithm. We used 2643 RGB stars extracted from the APOKASC-2 asteroseismological catalog as the training data set. After selecting the parameters ([alpha/Fe], [C/Fe], T eff, [N/Fe], [C/H], log g) highly correlated with age using GBDT, we apply the same GBDT method to the new catalog of more than 590,000 stars classified as RGB stars. The test data set shows that the median relative error is around 11.6% for the method. We also compare the predicted ages of RGB stars with other studies (e.g., based on APOGEE) and find some systematic differences. The final uncertainty is about 15%-30% compared to the ages of open clusters. Then, we present the spatial distribution of the RGB sample with an age determination, which could recreate the expected result, and discuss systematic biases. All these diagnostics show that one can apply the GBDT method to other stellar samples to estimate atmospheric parameters and age.
资助项目Department of Physics and Astronomy of Padova University; National Development and Reform Commission; Chinese Academy of Sciences
项目资助者Department of Physics and Astronomy of Padova University ; National Development and Reform Commission ; Chinese Academy of Sciences
语种英语
学科领域天文学 ; 恒星与银河系
文章类型Article
出版者IOP Publishing Ltd
出版地TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
ISSN0004-637X
URL查看原文
WOS记录号WOS:001224161400001
WOS研究方向Astronomy & Astrophysics
WOS类目Astronomy & Astrophysics
关键词[WOS]HIGH-PRECISION ABUNDANCES ; SOLAR TWINS TRENDS ; GALACTIC DISK ; MILKY-WAY ; CLUMP STARS ; CHEMICAL CARTOGRAPHY ; STELLAR PARAMETERS ; APOKASC CATALOG ; APOGEE ; MASS
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文献类型期刊论文
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条目标识符http://ir.ynao.ac.cn/handle/114a53/27202
专题大样本恒星演化研究组
作者单位1.Dipartimento di Fisica e Astronomia "Galileo Galilei," Università degli Studi di Padova, Vicolo Osservatorio 3, I-35122, Padova, Italy;[email protected] [email protected];
2.Department of Astronomy, China West Normal University, Nanchong, 637002, People's Republic of China;
3.Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, People's Republic of China;
4.INAF-Padova Observatory, Vicolo dell'Osservatorio 5, 35122 Padova, Italy;
5.Shanghai Astronomical Observatory, Chinese Academy of Sciences, 80 Nandan Road, Shanghai 200030, People's Republic of China;
6.National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, People's Republic of China
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Wang, Hai-Feng,Carraro, Giovanni,Li, Xin,et al. Age Determination of LAMOST Red Giant Branch Stars Based on the Gradient Boosting Decision Tree Method[J]. ASTROPHYSICAL JOURNAL,2024,967(1).
APA Wang, Hai-Feng.,Carraro, Giovanni.,Li, Xin.,李启达.,Spina, Lorenzo.,...&Deng, Li-Cai.(2024).Age Determination of LAMOST Red Giant Branch Stars Based on the Gradient Boosting Decision Tree Method.ASTROPHYSICAL JOURNAL,967(1).
MLA Wang, Hai-Feng,et al."Age Determination of LAMOST Red Giant Branch Stars Based on the Gradient Boosting Decision Tree Method".ASTROPHYSICAL JOURNAL 967.1(2024).
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