Bayesian analysis to identify very low-mass members of nearby young stellar kinematic groups

TL;DR

This study employs Bayesian inference on all-sky survey data to identify very low-mass, young stellar group members, discovering 38 promising candidates with signs of youth, including objects near planetary mass.

Contribution

It introduces a Bayesian method for identifying low-mass young star candidates using 2MASS and WISE data, highlighting new potential planetary-mass objects.

Findings

38 probable young low-mass candidates identified

Some candidates have masses near the planetary regime

First results demonstrate the effectiveness of Bayesian inference in this context

Abstract

We describe our all-sky survey for >M4 candidate members to nearby, young associations from the 2MASS and WISE catalogs using bayesian inference. We report the first results, including 38 highly probable candidates showing spectroscopic signs of low-gravity (and thus youth). The latest of these objects would correspond to a 11 - 13 MJup object, around the limit of the planetary regime.