Bayesian analysis to identify new star candidates in nearby young stellar kinematic groups
Lison Malo, Ren\'e Doyon, David Lafreni\`ere, \'Etienne Artigau,, Jonathan Gagn\'e, Fr\'ed\'erique Baron, Adric Riedel

TL;DR
This paper introduces a Bayesian method to identify new members of nearby young stellar groups using minimal observables, successfully discovering numerous candidate stars and confirming some with follow-up data.
Contribution
The paper presents a novel Bayesian analysis technique for star group membership identification, incorporating multiple observables and applying it to find new low-mass star candidates in several young stellar groups.
Findings
Identified 215 new probable low-mass members of young stellar groups.
Confirmed membership of 58 stars previously proposed in literature.
Discovered strong candidate members with follow-up radial velocity and lithium measurements.
Abstract
We present a new method based on a Bayesian analysis to identify new members of nearby young kinematic groups. The analysis minimally takes into account the position, proper motion, magnitude and color of a star, but other observables can be readily added (e.g. radial velocity, distance). We use this method to find new young low-mass stars in the \beta Pictoris (\beta PMG) and AB Doradus (ABDMG) moving groups and in the TW Hydrae (TWA), Tucana-Horologium (THA), Columba, Carina and Argus associations. Starting from a sample of 758 mid-KM (K5V-M5V) stars showing youth indicators such as H\alpha\ and X-ray emission, our analysis yields 215 new highly probable low-mass members of the kinematic groups analyzed. One is in TWA, 37 in \beta PMG, 17 in THA, 20 in Columba, 6 in Carina, 50 in Argus, 33 in ABDMG, and the remaining 51 candidates are likely young but have an ambiguous membership to…
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