Combing the Brown Dwarf Desert with Gaia DR3

TL;DR

This study compiles a comprehensive catalogue of 214 brown dwarfs in binaries, analyzes their orbital and mass distributions using Gaia DR3 data, and investigates their formation mechanisms and population characteristics.

Contribution

It provides the first detailed statistical analysis of the brown dwarf desert using Gaia DR3, including new mass measurements and insights into formation scenarios.

Findings

Confirmed a mass distribution valley around 30-35 Mjup.

Found under-population of short-period BDs (<100 days).

Identified two potential populations with different origins.

Abstract

We have created an up-to-date catalogue of 214 brown dwarfs (BDs) in binaries with $P < 10^4$ d. This allows us to examine the population statistics of the brown dwarf desert. We searched $\textit{Gaia}$ DR3 NSS results for orbital inclinations of BD candidates, deriving 12 new masses. Three remain as desert BDs whereas nine candidates are found to be low-mass stars. We improved the RV solutions for three previously studied BD candidates. A further 19 BD masses with periods less than $\sim$ 1200 d were identified in the DR3 $\texttt{binary_masses}$ database. We confirm a valley in the mass distribution with a minimum around 30-35 M$_{\textrm{jup}}$, and find that periods $<$ 100 d are still under-populated in comparison to longer periods. The updated mass and eccentricity distribution of BDs still shows a marginally statistically significant split into high- and low-mass BD populations. This hints at two different parent distributions, and two potential origins $-$ either akin to planetary formation, or stellar. There are no low eccentricity BDs at periods around 100 d. The mass-metallicity distribution of BDs indicates that core accretion is not the dominant formation mechanism for BDs as they do not follow the same trends that giant exoplanets do with metallicity. We identify a diagonal envelope bounding the Gaia BDs in the mass-period plane due to the detection thresholds of the currently available NSS solutions from 34 months of data.