Ages and Masses of 0.64 million Red Giant Branch stars from the LAMOST Galactic Spectroscopic Survey

• Published in: arXiv.org 2019-01
• Main Authors: Wu, Yaqian, Xiang, Maosheng, Zhao, Gang, Bi, Shaolan, Liu, Xiaowei, Shi, Jianrong, Huang, Yang, Yuan, Haibo, Wang, Chun, Chen, Bingqiu, Huo, Zhiying, Tian, Zhijia, Liu, Kang, Zhang, Xianfei, Li, Yaguang, Zhang, Jinghua
• Format: Article
• Language: English
• Subjects: Age; Angular momentum; Eccentric orbits; Galactic disk; Machine learning; Parallax; Parameters; Principal components analysis; Red giant stars; Spectroscopy; Stellar age; Subgiant stars
• ISSN: 2331-8422
• DOI: 10.48550/arxiv.1901.07233

We present a catalog of stellar age and mass estimates for a sample of 640\,986 red giant branch (RGB) stars of the Galactic disk from the LAMOST Galactic Spectroscopic Survey (DR4). The RGB stars are distinguished from the red clump stars utilizing period spacing derived from the spectra with a machine learning method based on kernel principal component analysis (KPCA). Cross-validation suggests our method is capable of distinguishing RC from RGB stars with only 2 per cent contamination rate for stars with signal-to-noise ratio (SNR) higher than 50. The age and mass of these RGB stars are determined from their LAMOST spectra with KPCA method by taking the LAMOST - \(Kepler\) giant stars having asteroseismic parameters and the LAMOST-TGAS sub-giant stars based on isochrones as training sets. Examinations suggest that the age and mass estimates of our RGB sample stars with SNR \(>\) 30 have a median error of 30 per cent and 10 per cent, respectively. Stellar ages are found to exhibit positive vertical and negative radial gradients across the disk, and the age structure of the disk is strongly flared across the whole disk of \(6