The Astrophysical Journal Supplement Series (Jan 2024)

LAMA: LAMOST Medium-Resolution Spectral Analysis Pipeline

  • Chun-qian Li,
  • Jian-rong Shi,
  • Hong-liang Yan,
  • Zhong-rui Bai,
  • Jiang-tao Wang,
  • Ming-yi Ding

DOI
https://doi.org/10.3847/1538-4365/ad5002
Journal volume & issue
Vol. 273, no. 2
p. 18

Abstract

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The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) has obtained more than 23 million spectra, opening an unprecedented opportunity to study stellar physics, as well as the formation and evolution of our Milky Way. In order to obtain the accurate stellar parameters, we develop a LAMOST Medium-Resolution Spectral Analysis Pipeline (LAMA), which estimates the stellar parameters from the LAMOST medium-resolution spectra, including the effective temperature ( T _eff ), surface gravity ( $\mathrm{log}g$ ), metallicity ([Fe/H]), radial velocity, and rotational velocity ( $v\sin i$ ). LAMA estimates these parameters utilizing the template-matching method. The comparison between our results and those from the high-resolution ones, including APOGEE, GALAH, and PASTEL, shows no obvious bias, indicating the reliability of our results. The accuracy of T _eff and [Fe/H] can reach 75 K and 0.12 dex, respectively, for the LAMOST Medium-Resolution Spectroscopic Survey (MRS) spectra with a signal-to-noise ratio higher than 10. For dwarfs, the uncertainty of $\mathrm{log}g$ is around 0.17 dex, while, for giants, it ranges from 0.18 to 0.30 dex, with the errors decreasing as $\mathrm{log}g$ increases. Using LAMA for the LAMOST-MRS spectra, we estimate the stellar parameters of 497,412 stars. This sample will be very helpful for investigating the formation and evolution of our Galaxy.

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