Automated identification of 2612 late-k and M dwarfs in the LAMOST commissioining data using the classification template fits
Jing Zhong, Sebastien Lepine, Jinliang Hou, Shyin Shen, Haibo Yuan,, Zhiying Huo, Huihua Zhang, Maosheng Xiang, Huawai Zhang, Xiaowe Liu

TL;DR
This paper presents an automated template-fit method to identify and classify late-K and M dwarfs in LAMOST spectra, providing spectral types, metallicity estimates, and kinematic data, enabling large-scale Galactic studies.
Contribution
The study introduces a new automated classification technique using SDSS templates for LAMOST data, improving spectral typing and metallicity estimation of late-type dwarfs.
Findings
Identified 2612 late-K and M dwarfs in LAMOST commissioning data.
Achieved accurate spectral classification and metallicity estimates despite data quality issues.
Derived kinematic properties consistent with previous studies.
Abstract
We develop a template-fit method to automatically identify and classify late-type K and M dwarfs in spectra from the LAMOST. A search of the commissioning data, acquired in 2009-2010, yields the identification of 2612 late-K and M dwarfs. The template fit method also provides spectral classification to half a subtype, classifies the stars along the dwarf-subdwarf metallicity sequence, and provides improved metallicity/gravity information on a finer scale. The automated search and classification is performed using a set of cool star templates assembled from the Sloan Digital Sky Survey spectroscopic database. We show that the stars can be efficiently classified despite shortcomings in the LAMOST commissioning data which include bright sky lines in the red. In particular we find that the absolute and relative strengths of the critical TiO and CaH molecular bands around 7000A are cleanly…
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