The Photometric Selection of M-dwarfs using Gaia, WISE and 2MASS photometry
J. Bentley, C. Tinney, S. Sharma, D. Wright

TL;DR
This paper develops photometric criteria using Gaia, WISE, and 2MASS data to efficiently identify M-dwarfs across the sky, aiding upcoming surveys like TESS without relying on astrometry.
Contribution
It introduces new color-based selection criteria for M-dwarfs that are unbiased by space velocity and validated with synthetic galaxy models.
Findings
High-completeness set contains 78,340 stars with 30.7-44.4% M-dwarfs
Low-contamination set contains 40,505 stars with 58.7-64.1% M-dwarfs
Comparison shows combined color and magnitude criteria are most effective
Abstract
We present criteria for the photometric selection of M-dwarfs using all-sky photometry, with a view to identifying M-dwarf candidates for inclusion in the input catalogues of upcoming all-sky surveys, including TESS and FunnelWeb. The criteria are based on Gaia, WISE and 2MASS all-sky photometry, and deliberately do not rely on astrometric information. In the lead-up to the availability of truly distance-limited samples following the release of Gaia DR2, this approach has the significant benefit of delivering a sample unbiased with regard to space velocity. Our criteria were developed by using Galaxia synthetic galaxy model predictions to evaluate both M-dwarf completeness and false-positive detections (i.e. non-M-dwarf contamination rates). In addition to the previously known sensitivity of J-H colour for giant-dwarf discrimination at cool temperatures, we find the WISE W1-W2 colour is…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Gamma-ray bursts and supernovae
