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Parameter estimation for LAMOST stellar spectra

Published on:

26 December 2023

Primary Category:

Solar and Stellar Astrophysics

Paper Authors:

Xiangru Li,

Xiaoyu Zhang,

Shengchun Xiong,

Yulong Zheng,

Hui Li

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Key Details

Proposes SPEMR method to improve parameter estimation

Handles large scale, unevenly distributed LAMOST spectral data

Significantly boosts accuracy for low temp, high temp, low metallicity spectra

Releases catalog of 4.19 million LAMOST spectra with estimates

AI generated summary

Parameter estimation for LAMOST stellar spectra

This paper proposes a method called SPEMR that improves the accuracy of estimating physical parameters like temperature, gravity, and elemental abundances from a large catalog of medium-resolution stellar spectra. It handles issues in the data like low signal-to-noise ratios and uneven distribution across parameter space that lead to poor estimates for some spectra.

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