Age Determination of LAMOST Red Giant Branch Stars Based on the Gradient Boosting Decision Tree Method

doi:10.3847/1538-4357/ad3b90

YNAO OpenIR > 大样本恒星演化研究组

	Age Determination of LAMOST Red Giant Branch Stars Based on the Gradient Boosting Decision Tree Method
	Wang, Hai-Feng 1; Carraro, Giovanni 1; Li, Xin 2; Li QD(李启达)3 ; Spina, Lorenzo 4; Chen, Li 5; Wang, Guan-Yu 2; Deng, Li-Cai 6
发表期刊	ASTROPHYSICAL JOURNAL
	2024-05-01
卷号	967 期号:1
DOI	10.3847/1538-4357/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
ISSN	0004-637X
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
引用统计
文献类型	期刊论文
版本	出版稿
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
推荐引用方式 GB/T 7714	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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