The value-added catalogue for LAMOST DR8 low-resolution spectra
Chun Wang, Yang Huang, Haibo Yuan, Huawei Zhang, Maosheng Xiang and, Xiaowei Liu

TL;DR
This paper introduces a comprehensive catalog of stellar parameters derived from 7.10 million low-resolution spectra from LAMOST DR8, including atmospheric parameters, chemical abundances, and distances, with high precision for stars with SNR > 50.
Contribution
The authors developed a neural network-based method to estimate detailed stellar parameters and absolute magnitudes from LAMOST spectra, significantly improving accuracy and extending the range of metallicity measurements.
Findings
High-precision stellar parameters for over 5 million stars.
Reliable metallicity estimates down to [Fe/H] ~ -3.5.
Identification of nearly 27,000 very metal-poor star candidates.
Abstract
We present a value-added catalog containing stellar parameters estimated from 7.10 million low-resolution spectra for 5.16 million unique stars with spectral signal-to-noise ratios (SNRs) higher than 10 obtained by the Large Sky Area Multi-Object Fibre Spectroscopic Telescope (LAMOST) Galactic spectroscopic surveys. The catalog presents values of stellar atmospheric parameters (effective temperature , surface gravity , metallicity [Fe/H]/[M/H]), -element to metal abundance ratio [/M], carbon and nitrogen to iron abundance ratios [C/Fe] and [N/Fe] and 14 bands' absolute magnitudes deduced from LAMOST spectra using the method of neural network. The spectro-photometric distances of those stars are also provided based on the distance modulus. For stars with spectral SNRs larger than 50, precisions of , , [Fe/H], [M/H],…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Galaxies: Formation, Evolution, Phenomena
