Searching for the extra-tidal stars of globular clusters using high-dimensional analysis and a core particle spray code
Steffani M. Grondin, Jeremy J. Webb, Nathan W.C. Leigh, Joshua S., Speagle, Reem J. Khalifeh

TL;DR
This paper introduces a novel high-dimensional data analysis approach combined with a particle spray simulation to identify and confirm extra-tidal stars of globular clusters, exemplified by M3, enhancing understanding of cluster dynamics.
Contribution
The study develops a new methodology integrating machine learning dimensionality reduction and a three-body particle spray code to detect and verify extra-tidal stars of globular clusters.
Findings
Identified 103 candidate extra-tidal stars using t-SNE and UMAP.
Confirmed 10 high-probability extra-tidal stars associated with M3.
Demonstrated the effectiveness of corespray in modeling star ejections.
Abstract
Three-body interactions can eject stars from the core of a globular cluster, causing them to enter the Galactic halo as extra-tidal stars. While finding extra-tidal stars is imperative for understanding cluster evolution, connecting isolated extra-tidal field stars back to their birth cluster is extremely difficult. In this work, we present a new methodology consisting of high-dimensional data analysis and a particle spray code to identify extra-tidal stars of any Galactic globular cluster using M3 as a case study. Using the t-Stochastic Neighbour Embedding (t-SNE) and Uniform Manifold Approximation and Projection (UMAP) machine learning dimensionality reduction algorithms, we first identify a set of 103 extra-tidal candidates in the APOGEE DR17 data catalogue with chemical abundances similar to M3 stars. To confirm each candidate's extra-tidal nature, we introduce corespray - a new…
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Taxonomy
TopicsStellar, planetary, and galactic studies
