Probing the Milky Way Halo with RR Lyrae Stars from Gaia Data Release 3
T. Muraveva, L. Monti, D. Massari, M. De Leo, A. Garofalo, G. Clementini, E. Ceccarelli, U. Michelucci

TL;DR
This study uses Gaia DR3 RR Lyrae stars to identify and analyze Milky Way halo substructures, revealing their chemical properties and origins through advanced clustering and metallicity analysis.
Contribution
It introduces a novel application of the CLiMB clustering framework to RR Lyrae data for halo substructure identification and characterizes their metallicity distributions.
Findings
Identified distinct metallicity profiles for major halo substructures.
Detected potential remnants of small accreted systems in the halo.
Suggested in-situ origins for certain over-densities like Shiva and Shakti.
Abstract
The Milky Way (MW) stellar halo, containing debris from past accretion events, serves as a fossil record of hierarchical mass assembly. Due to their distinct properties, RR Lyrae stars (RRLs) serve as excellent tracers for identifying and characterising the halo's substructures. We analysed a sample of 4933 RRLs, for which we calculated the integrals of motion and orbital parameters. We applied the domain-informed novelty detection CLustering in Multiphase Boundaries (CLiMB) framework to identify RRL membership in the MW substructures. We analysed the metallicity distributions of RRLs in major accreted system remnants as a snapshot of their chemical evolutionary status during early epochs. We calculated the weighted mean metallicity ([Fe/H]) and the corresponding standard deviation for Gaia Sausage/Enceladus ([Fe/H] = dex), Sequoia ([Fe/H] = dex), and the…
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