Papers › Parameter Estimation of LAMOST Medium-resolution Stellar Spectra
Parameter Estimation of LAMOST Medium-resolution Stellar Spectra
Xiangru Li, Xiaoyu Zhang, Shengchun Xiong, Yulong Zheng, Hui Li
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This paper investigates the problem of estimating three stellar atmospheric physical parameters and thirteen elemental abundances for medium-resolution spectra from Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST). Typical characteristics of these spectra are their huge scale, wide range of spectral signal-to-noise ratios, and uneven distribution in parameter space.These characteristics lead to unsatisfactory results on the spectra with low temperature, high temperature or low metallicity.To this end, this paper proposes a Stellar Parameter Estimation method based on Multiple Regions (SPEMR) that effectively improves parameter estimation accuracy. On the spectra with {S/N ≥10}, the precisions are 47 K, 0.08 dex, 0.03 dex respectively for the estimations of (T_(eff), log g and [Fe/H]), 0.03 dex to 0.06 dex for elements C, Mg, Al, Si, Ca, Mn and Ni, 0.07 dex to 0.13 dex for N, O, S, K and Ti, while that of Cr is 0.16 dex.For the reference of astronomical science researchers and algorithm researchers, we released a catalog for 4.19 million medium-resolution spectra from the LAMOST DR8, experimental code, trained model, training data, and test data.
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