A Statistical Framework to Identify Kinematically Outlying LMC Globular Clusters and Implications for the LMC's Dark Matter Profile
Tamojeet Roychowdhury, Navdha, Himansh Rathore, Knut A.G. Olsen

TL;DR
This paper introduces a new statistical method to identify kinematically outlying globular clusters in the LMC using Gaia-DR3 data, revealing their impact on dark matter estimates and suggesting possible accretion origins.
Contribution
A novel robust statistical framework combining proper motions and line-of-sight velocities to identify outlying GCs in the LMC, accounting for measurement uncertainties and intrinsic dispersion.
Findings
Identified 5 GCs with outlying proper motions and 6 with outlying line-of-sight velocities.
Outlying GCs are mostly located 3-4 kpc from the LMC center.
Including outliers biases the LMC's mass estimates by up to 30%.
Abstract
The LMC's Globular Clusters (GCs) bring a novel opportunity to understand the LMC's assembly history and dark matter (DM) properties, provided the kinematically outlying GCs can be reliably identified. However, traditional diagnostics like the Energy-Angular Momentum space fail because of large uncertainties on the GC velocities. In this work, we develop a new, robust statistical framework for identifying kinematically outlying LMC GCs, by using their Gaia-DR3 Proper Motions (PMs) combined with previous Line-of-Sight (LoS) velocity measurements. We use the difference between a GC's velocity vector and the average velocity vector of the surrounding red clump stars as a metric for quantifying a GC's kinematic peculiarity. We account for both the velocity measurement uncertainties and the LMC's intrinsic velocity dispersion. We find 5 LMC GCs to be kinematically outlying based on PM…
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.
Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Stellar, planetary, and galactic studies
