Detecting Globular Cluster Tidal Extensions with Bayesian Inference: I. Analysis of $\omega$ Centauri with Gaia EDR3
Pete B. Kuzma, Annette M. N. Ferguson, Jorge Pe\~narrubia

TL;DR
This paper introduces a Bayesian mixture model approach to detect and analyze the extended tidal features of globular cluster $ ext{ω}$ Centauri using Gaia EDR3 data, revealing extensive tidal tails and stellar populations.
Contribution
The study presents a novel probabilistic method for identifying cluster members and tidal extensions in challenging observational conditions, demonstrated on $ ext{ω}$ Centauri with detailed tidal tail characterization.
Findings
Recovered extensive tidal tails spanning 10 degrees on the sky.
Identified cluster member stars, including RR Lyrae and blue horizontal branch stars, in the tidal tails.
Estimated that tidal extensions contain at least 0.1% of the cluster's total stellar mass.
Abstract
The peripheral regions of globular clusters (GCs) are extremely challenging to study due to their low surface brightness nature and the dominance of Milky Way contaminant populations along their sightlines. We have developed a probabilistic approach to this problem through utilising a mixture model in spatial and proper motion space which separately models the cluster, extra-tidal and contaminant stellar populations. We demonstrate the efficacy of our method through application to Gaia EDR3 photometry and astrometry in the direction of NGC 5139 ( Cen), a highly challenging target on account of its Galactic latitude () and low proper motion contrast with the surrounding field. We recover the spectacular tidal extensions, spanning the on the sky explored here, seen in earlier work and quantify the star count profile and ellipticity of the system…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
