arXiv 2305.045282023-05-08astro-ph.GAastro-ph.SR

LAMOST观测的约100万颗RGB和RC星的精确质量与年龄

Precise Masses, Ages of ~1.0 million RGB and RC stars observed by the LAMOST

Chun Wang, Yang Huang, Yutao Zhou, Huawei Zhang

备注：: 13 pages, 16 figures, 1 table, accepted for publication in A&A
发表信息：: A&A 675, A26 (2023)
DOI：: 10.1051/0004-6361/202245809

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AI总结：

本研究基于LAMOST DR8数据，利用神经网络方法测定了约100万颗RGB和RC星的精确质量与年龄，为银河系大范围空间研究提供了宝贵数据集。

摘要：

我们为从LAMOST DR8中选出的696,680颗红巨星支（RGB）星、180,436颗主红团（RC）星和120,907颗次RC星构建了恒星质量与年龄星表。RGB、主RC和次RC是通过大频率间隔（$Δν$）和周期间隔（$ΔP$）识别的，这些参数由神经网络方法利用LAMOST-Kepler样本星的地震学信息作为监督，从光谱信噪比$> 10$的LAMOST光谱中估算得出。RGB和RC样本的纯度和完整度分别优于95%和90%。RGB和RC的质量与年龄再次以LAMOST-Kepler巨星作为训练集，通过神经网络方法测定。RGB恒星样本的恒星质量与年龄的典型不确定度分别为10%和30%。对于RC，恒星质量与年龄的典型不确定度分别为9%和24%。RGB和RC恒星样本覆盖了银河系的大范围空间（5 $< R < 20$ kpc且$|Z| < 5$ kpc），是用于各种银河系研究的宝贵数据集。

英文摘要：

We construct a catalogue of stellar masses and ages for 696,680 red giant branch (RGB) stars, 180,436 primary red clump (RC) stars, and 120,907 secondary RC stars selected from the LAMOST\,DR8. The RGBs, primary RCs, and secondary RCs are identified with the large frequency spacing ($Δν$) and period spacing ($ΔP$), estimated from the LAMOST spectra with spectral SNRs $> 10$ by the neural network method supervised with the seismologic information from LAMOST-Kepler sample stars. The purity and completeness of both RGB and RC samples are better than 95\% and 90\%, respectively. The mass and age of RGBs and RCs are determined again with the neural network method by taking the LAMOST-Kepler giant stars as the training set. The typical uncertainties of stellar mass and age are, respectively, 10\% and 30\% for the RGB stellar sample. For RCs, the typical uncertainties of stellar mass and age are 9\% and 24\%, respectively. The RGB and RC stellar samples cover a large volume of the Milky Way (5 $< R < 20$\,kpc and $|Z| <$\,5\,kpc), which are valuable data sets for various Galactic studies.

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摘要：

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