Age Determination of LAMOST Red Giant Branch Stars Based on the Gradient Boosting Decision Tree Method
文献类型：期刊论文
| 作者 | Wang, Hai-Feng6; Carraro, Giovanni6; Li, Xin5; Li QD(李启达)4 ; Spina, Lorenzo3; Chen, Li2; Wang, Guan-Yu5; Deng, Li-Cai1
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| 刊名 | ASTROPHYSICAL JOURNAL
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| 出版日期 | 2024-05-01 |
| 卷号 | 967期号:1 |
| ISSN号 | 0004-637X |
| DOI | 10.3847/1538-4357/ad3b90 |
| 产权排序 | 第3完成单位 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| 学科主题 | 天文学 ; 恒星与银河系 |
| URL标识 | 查看原文 |
| 出版地 | TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND |
| WOS关键词 | HIGH-PRECISION ABUNDANCES ; SOLAR TWINS TRENDS ; GALACTIC DISK ; MILKY-WAY ; CLUMP STARS ; CHEMICAL CARTOGRAPHY ; STELLAR PARAMETERS ; APOKASC CATALOG ; APOGEE ; MASS |
| 资助项目 | Department of Physics and Astronomy of Padova University; National Development and Reform Commission; Chinese Academy of Sciences |
| WOS研究方向 | Astronomy & Astrophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:001224161400001 |
| 出版者 | IOP Publishing Ltd |
| 资助机构 | Department of Physics and Astronomy of Padova University ; National Development and Reform Commission ; Chinese Academy of Sciences |
| 版本 | 出版稿 |
| 源URL | [http://ir.ynao.ac.cn/handle/114a53/27202]  |
| 专题 | 云南天文台_大样本恒星演化研究组 |
| 作者单位 | 1.National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, People's Republic of China 2.Shanghai Astronomical Observatory, Chinese Academy of Sciences, 80 Nandan Road, Shanghai 200030, People's Republic of China; 3.INAF-Padova Observatory, Vicolo dell'Osservatorio 5, 35122 Padova, Italy; 4.Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, People's Republic of China; 5.Department of Astronomy, China West Normal University, Nanchong, 637002, People's Republic of China; 6.Dipartimento di Fisica e Astronomia "Galileo Galilei," Università degli Studi di Padova, Vicolo Osservatorio 3, I-35122, Padova, Italy;haifeng.wang.astro@gmail.com giovanni.carraro@unipd.it; |
| 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). |
入库方式： OAI收割
来源：云南天文台
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