Constructing a Pristine View of Extended Globular Cluster Structure
Pete B. Kuzma, Miho N. Ishigaki, Takanobu Kirihara, Itsuki Ogami

TL;DR
This study uses multi-dimensional data and machine learning to identify and analyze extended structures around Milky Way globular clusters, revealing new features and confirming the importance of metallicity data in such searches.
Contribution
It introduces a large-scale survey combining photometric metallicities and machine learning to detect extended globular cluster structures, including new tentative detections.
Findings
22 GCs have extended structures within 5 degrees
Six of these structures are new tentative detections
Presence of diffuse envelopes and tidal tails around GCs
Abstract
Globular Clusters (GCs) displaying extended structures are becoming increasingly ubiquitous in the Milky Way (MW). Despite their low surface brightness, which makes disentangling the true structure from the MW overwhelmingly difficult, the increasing availability of multi-dimensional data sets has allowed for new detections of extended GC structure. This work utilises the Pristine-Gaia-Synthetic catalogue released as part of the Pristine Surveys first data release to search for tidally stripped stars in the peripheries of MW GCs. Pristine provides photometric [Fe/H] measurements based on CaHK-band photometry. Using unsupervised machine learning techniques, we provided lists of extra-tidal stars for 30 GCs, one of the largest surveys of its kind. We find that (1) 22 GCs that passed our quality cut have extended structure within 5 deg from the cluster centers of which six are new…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Astro and Planetary Science
