English

The value-added catalogue for LAMOST DR8 low-resolution spectra

Solar and Stellar Astrophysics 2022-04-06 v1 Astrophysics of Galaxies

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 TeffT_{\mathrm{eff}}, surface gravity logg\log g, metallicity [Fe/H]/[M/H]), α\alpha-element to metal abundance ratio [α\alpha/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 TeffT_{\mathrm{eff}}, logg\log g, [Fe/H], [M/H], [C/Fe], [N/Fe] and [α\alpha/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] 3.5\sim -3.5\,dex, significantly better than previous results. The catalog provide 26,868 unique very metal poor star candidates ([Fe/H] 2.0\leq -2.0). 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.

Keywords

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

R2 v1 2026-06-24T08:59:33.377Z