The mysterious Globular Cluster population of MATLAS-2019

TL;DR

This study provides the most detailed analysis to date of the globular cluster population in the ultra-diffuse galaxy MATLAS-2019, using multi-wavelength HST and ground-based imaging to refine estimates of its GCs and halo mass.

Contribution

It offers a new, precise count of GCs in MATLAS-2019 and insights into their distribution, improving understanding of this galaxy's structure and mass.

Findings

33±3 GCs identified in MATLAS-2019

GCs are highly concentrated within the galaxy's effective radius

Estimated halo mass of (1.14±0.1)×10^11 solar masses

Abstract

MATLAS-2019 (also known as NGC5846-UDG1) has attracted significant attention due to the ongoing debate surrounding its Globular Cluster (GC) population, with several studies addressing the issue yet reaching little consensus. In this paper we take advantage of HST's multi-wavelength coverage (F475W, F606W and F814W observations) with the addition of deep u-band imaging from Gran Telescopio de Canarias, to perform the most detailed study and estimation to date of the GC population of the ultra-diffuse galaxy MATLAS-2019. The improved constraints provided by the combination of high spatial resolution and better coverage of the GC spectral energy distribution has allowed us to obtain a clean sample of GCs in this galaxy. We report a number of 33+-3 GCs in MATLAS-2019, supporting the previous lower estimates for this galaxy. The GC population of this galaxy is highly concentrated with ~80% of the GCs inside the effective radius (Re) of the galaxy and the GC half-number radius Re,GC is 0.7Re. Using the GC-Halo mass relation, we estimate a halo mass for MATLAS-2019 of (1.14+-0.1)x10**11 solar masses. The GC luminosity function and the distribution of effective radii of the GCs favour a distance to the galaxy of 20.0+-0.9 Mpc. In agreement with previous findings, we find that the distribution of GCs is highly asymmetric even though the distribution of stars in the galaxy is symmetric. This suggests that assumptions about the symmetry of the GC distribution may be incorrect when used to calculate the number of GCs with such low statistics.