Rotational Kinematics in the Globular Cluster System of M31: Insights from Bayesian Inference
Yuan Li (Cher), Brendon J. Brewer, Geraint F. Lewis, Dougal Mackey

TL;DR
This study uses Bayesian inference to analyze the rotational kinematics of globular clusters in M31, revealing distinct subpopulations with different origins and assembly histories.
Contribution
It introduces Bayesian modeling to investigate GC kinematics in M31, accounting for heterogeneity and subpopulations based on metallicity and substructure associations.
Findings
Lower-metallicity and substructure-linked GCs exhibit rapid rotation.
Higher-metallicity GCs rotate with M31's stellar disk.
Kinematic differences suggest varied accretion epochs.
Abstract
As ancient stellar systems, globular clusters (GCs) offer valuable insights into the dynamical histories of large galaxies. Previous studies of GC populations in the inner and outer regions of the Andromeda Galaxy (M31) have revealed intriguing subpopulations with distinct kinematic properties. Here, we build upon earlier studies by employing Bayesian modelling to investigate the kinematics of the combined inner and outer GC populations of M31. Given the heterogeneous nature of the data, we examine subpopulations defined by GCs' metallicity and by associations with substructure, in order to characterise possible relationships between the inner and outer GC populations. We find that lower-metallicity GCs and those linked to substructures exhibit a common, more rapid rotation, whose alignment is distinct from that of higher-metallicity and non-substructure GCs. Furthermore, the…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Stellar, planetary, and galactic studies · Astronomy and Astrophysical Research
