标题： 精确质量，年龄为~1.0百万个红巨星和红团簇星的观测结果来自LAMOST 显示英文标题

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

摘要： 我们构建了一个包含696,680颗红巨星分支（RGB）恒星、180,436颗主序红团（RC）恒星和120,907颗次序红团（RC）恒星的恒星质量与年龄目录，这些恒星是从LAMOST DR8中选取的。RGB、主序RC和次序RC是通过大频率间距（$\Delta \nu$）和周期间距（$\Delta P$）识别出来的，这些参数通过监督学习的神经网络方法从LAMOST光谱中估计得到，其光谱信噪比为$> 10$，使用了LAMOST-Kepler样本恒星的地震学信息。RGB和RC样本的纯度和完整性分别优于95%和90%。RGB和RC的恒星质量与年龄再次通过神经网络方法确定，采用LAMOST-Kepler巨恒星作为训练集。对于RGB恒星样本，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区域（5$< R < 20$kpc和$|Z| <$5 kpc），这些是各种银河系研究的重要数据集。 显示英文摘要

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 ($\Delta \nu$) and period spacing ($\Delta P$), 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.