Issue |
A&A
Volume 675, July 2023
|
|
---|---|---|
Article Number | A26 | |
Number of page(s) | 12 | |
Section | Catalogs and data | |
DOI | https://doi.org/10.1051/0004-6361/202245809 | |
Published online | 30 June 2023 |
Precise masses and ages of ~1 million RGB and RC stars observed by LAMOST★
1
Tianjin Astrophysics Center, Tianjin Normal University,
Tianjin
300387,
PR China
e-mail: wchun@tjnu.edu.cn
2
University of Chinese Academy of Sciences,
Beijing
100049,
PR China
e-mail: huangyang@bao.ac.cn
3
National Astronomical Observatories, Chinese Academy of Sciences,
Beijing
100012,
PR China
4
College of Mathematics and Physics, Guangxi Minzu University,
Nanning
530006,
PR China
5
Department of Astronomy, School of Physics, Peking Univeristy,
Beijing
100871,
PR China
6
Kavli Institute for Astronomy and Astrophysics, Peking University,
Beijing
100871,
PR China
Received:
28
December
2022
Accepted:
4
May
2023
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 LAMOSTDR8. The RGBs, primary RCs, and secondary RCs are identified with the large frequency spacing (∆ν) and period spacing (∆P) estimated from the LAMOST spectra with spectral signal-to-noise ratios (S/Ns) > 10 using a neural network method supervised with 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 on stellar mass and age are 10% and 30%, respectively, for the RGB stellar sample. For RCs, the typical uncertainties on 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.
Key words: stars: fundamental parameters
The catalogue is available at the CDS via anonymous ftp to cdsarc.cds.unistra.fr (130.79.128.5) or via https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/675/A26 and at the LAMOST official website via http://www.lamost.org/dr8/v2.0/doc/vac
© The Authors 2023
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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