A New Approach to Identifying Red Supergiant Stars in Metal-poor Galaxies: A Case Study of NGC 6822
Zhiwen Li, Ming Yang, Biwei Jiang, Yi Ren

TL;DR
This study enhances the identification of red supergiant stars in metal-poor galaxies by combining color-color diagrams with Gaia data, resulting in more complete and accurate RSG samples in NGC 6822.
Contribution
It introduces an improved CCD method combined with Gaia astrometry to better distinguish RSGs from foreground dwarfs in metal-poor galaxies.
Findings
Identified 1,184 RSG candidates in NGC 6822.
Reduced contamination rates in RSG samples.
Discovered approximately 600 new RSG candidates.
Abstract
A complete sample of red supergiant stars (RSGs) is important for studying their properties. Identifying RSGs in extragalatic field first requires removing the Galactic foreground dwarfs. The color-color diagram (CCD) method, specifically using and , has proven successful in several studies. However, in metal-poor galaxies, faint RSGs will mix into the dwarf branch in the CCD and would be removed, leading to an incomplete RSG sample. This work attempts to improve the CCD method in combination with the Gaia astrometric measurement to remove foreground contamination in order to construct a complete RSG sample in metal-poor galaxies. The empirical regions of RSGs in both CCDs are defined and modified by fitting the locations of RSGs in galaxies with a range of metallicity. The metal-poor galaxy NGC 6822 is taken as a case study for its low metallicity ([Fe/H] …
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Taxonomy
TopicsAstronomy and Astrophysical Research · Stellar, planetary, and galactic studies · Galaxies: Formation, Evolution, Phenomena
