The M-giant star candidates identified in the LAMOST data release 1
Jing Zhong, Sebastien Lepine, Jing Li, Li Chen, Jinliang Hou, Ming, Yang, Guangwei Li, Yong Zhang, Yonghui Hou

TL;DR
This paper develops a spectral classification method to identify and catalog M giant stars from LAMOST DR1 data, providing a large, reliable M giant catalog with distance and velocity estimates, and also catalogs M dwarfs/subdwarfs.
Contribution
It introduces an extended M-type templates library and an automated classification pipeline for M giants, improving identification accuracy and catalog completeness.
Findings
Catalog of 8,639 M giants with distances and velocities.
Identification of 101,690 M dwarfs/subdwarfs.
Reliable spectral features and classification accuracy.
Abstract
We perform a discrimination procedure with the spectral index diagram of TiO5 and CaH2+CaH3 to separate M giants from M dwarfs. Using the M giant spectra identified from the LAMOST DR1 with high signal-to-noise ratio (SNR), we have successfully assembled a set of M giant templates, which show more reliable spectral features. Combining with the M dwarf/subdwarf templates in Zhong et al. (2015), we present an extended M-type templates library which includes not only M dwarfs with well-defined temperature and metallicity grid but also M giants with subtype from M0 to M6. Then, the template-fit algorithm were used to automatically identify and classify M giant stars from the LAMOST DR1. The result of M giant stars catalog is cross-matched with 2MASS JHKs and WISE W1/W2 infrared photometry. In addition, we calculated the heliocentric radial velocity of all M giant stars by using the…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Astronomical Observations and Instrumentation
