Exploring the chemodynamics of metal-poor stellar populations
Andr\'e Rodrigo da Silva, Rodolfo Smiljanic

TL;DR
This study analyzes the chemodynamic properties of about 6600 metal-poor stars to identify signatures of accreted and in situ populations, revealing insights into the Galaxy's merger history and chemical evolution.
Contribution
It applies unsupervised machine learning to classify metal-poor stars and distinguishes main accretion sources, notably Gaia-Enceladus, using chemodynamic data.
Findings
Identification of four main halo star groups with in situ contamination
Evidence of Gaia-Enceladus as a major accretion source
r-process enrichment in Gaia-Enceladus stars at low metallicity
Abstract
Metal-poor stars are key for studying the formation and evolution of the Galaxy. Evidence of the early mergers that built up the Galaxy remains in the distributions of abundances, kinematics, and orbital parameters of its stars. Several substructures resulting from these mergers have been tentatively identified in the literature. We conduct a global analysis of the chemodynamic properties of metal-poor stars. Our aim is to identify signs of accreted and in situ stars in different regions of the parameter space and to investigate their differences and similarities. We selected a sample of about 6600 metal-poor stars with [Fe/H] -0.8 from DR3 of the GALAH survey. We used unsupervised machine learning to separate stars in a parameter space made of two normalised orbital actions, plus [Fe/H] and [Mg/Fe], without additional a priori cuts on stellar properties. We divided the halo…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Stellar, planetary, and galactic studies · Gamma-ray bursts and supernovae
