The value-added catalogue for LAMOST DR8 low-resolution spectra
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], [C/Fe], [N/Fe] and [/M] are 85\,K, 0.098\,dex, 0.05\,dex, 0.05\,dex, 0.052\,dex, 0.082\,dex and 0.027\,dex, respectively. The errors of 14 band's absolute magnitudes are 0.16--0.22\,mag for stars with spectral SNRs larger than 50. The spectro-photometric distance is accurate to 8.5\% for stars with spectral SNRs larger than 50, and is more accurate than geometrical distance for stars with distance larger than 2.0\,kpc. Our estimates of [Fe/H] are reliable down to [Fe/H] \,dex, significantly better than previous results. The catalog provide 26,868 unique very metal poor star candidates ([Fe/H] ). The catalog would be a valuable data set to study the structure and evolution of the Galaxy, especially the solar-neighbourhood and the outer disc.
Cite
@article{arxiv.2201.09442,
title = {The value-added catalogue for LAMOST DR8 low-resolution spectra},
author = {Chun Wang and Yang Huang and Haibo Yuan and Huawei Zhang and Maosheng Xiang and Xiaowei Liu},
journal= {arXiv preprint arXiv:2201.09442},
year = {2022}
}
Comments
34 pages, 30 figures, 3 tables, accepted for publication in ApJS