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The metallicity of M dwarfs: photometric calibrations with Markov Chain Monte Carlo and Bayesian inference

Authors: Duque-Arribas, Christian; Montes, David; Tabernero, Hugo M.; Marfil, Emilio; Caballero, Jose Antonio;

The metallicity of M dwarfs: photometric calibrations with Markov Chain Monte Carlo and Bayesian inference

Abstract

In our on-going effort to characterize M dwarfs, we have carried out multi-band photometry calibrations of metallicity for early and intermediate M dwarfs using Gaia EDR3, 2MASS and AllWISE. These catalogs, combined with a sample of 5435 M dwarfs with additional parameters determined by APOGEE high-resolution spectroscopy, allow us to study the effect of the chemical composition in color-color and color-magnitude diagrams. We train the calibrations using Bayesian statistics and Markov Chain Monte Carlo (MCMC) techniques and derive several photometric calibrations aplicable to M dwarfs with metallicities of -0.4 ≤ [Fe/H] ≤ +0.4, obtaining estimations reliable to 0.10 dex. Lastly, we compare our results with previous photometric studies of metallicity for an additional sample of FGK+M common-proper-motion systems, finding a great predictive performance.

{"references": ["Birky, J. et al. 2020, ApJ, 892, 31", "Bressan, A. et al. 2012, MNRAS, 427, 127", "Davenport, J. R. A. & Dorn-Wallenstein, T. Z. 2019, RNAAS, 3, 54", "Mann, A. et al. 2013, AJ, 145, 52", "Montes, D. et al. 2018, MNRAS, 479, 1332"]}

Keywords

Cool Stars on the main sequence

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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