Dynamically Tagged Groups of Metal-Poor Stars from the Best \& Brightest Survey
Derek Shank, Timothy C. Beers, Vinicius M. Placco, Guilherme Limberg,, Emma Jaques, Zhen Yuan, Kevin C. Schlaufman, Andrew R. Casey, Yang Huang,, Young Sun Lee, Kohei Hattori, Rafael M. Santucci

TL;DR
This study analyzes Gaia DR3 data for about 4000 metal-poor stars, identifying 52 dynamical groups, including known Milky Way substructures and chemically peculiar stars, revealing their chemical and kinematic properties.
Contribution
The paper introduces a new method for identifying dynamical groups of metal-poor stars using orbital parameters and unsupervised learning, revealing new associations and chemical characteristics.
Findings
Identified 52 dynamical groups of metal-poor stars.
Associated several groups with known Milky Way substructures.
Found correlations between chemical abundances and kinematic properties.
Abstract
Orbital characteristics based on Gaia Early Data Release 3 astrometric parameters are analyzed for metal-poor stars ([Fe/H] ) compiled from the Best Brightest survey. Selected as metal-poor candidates based on broadband near- and far-IR photometry, of these stars had medium-resolution () validation spectra obtained over a seven-year campaign from to with a variety of telescopes. The remaining stars were chosen based on photometric metallicity determinations from the Huang et al. recalibration of the Sky Mapper Southern Survey. Dynamical clusters of these stars are obtained from the orbital energy and cylindrical actions using the \HDBSCAN ~unsupervised learning algorithm. We identify Dynamically Tagged Groups (DTGs) with between and members; DTGs have at least member stars. Milky…
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