Partitioning the Galactic Halo with Gaussian Mixture Models
Xilong Liang, Yuqin Chen, Jingkun Zhao, Gang Zhao

TL;DR
This study uses Gaussian Mixture Models to classify stars in the Galactic halo, revealing distinct components and their properties, and highlighting the complexity of halo formation from accreted and in-situ stars.
Contribution
It applies Gaussian Mixture Models to a large stellar sample to identify and characterize different Galactic halo components, including accreted and in-situ populations, based on multi-parameter analysis.
Findings
Identification of nine stellar groups with distinct properties.
Distinction between in-situ and accreted halo components.
No clear relation between accreted component ratio and Galactic radius.
Abstract
The Galactic halo is supposed to form from merging with nearby dwarf galaxies. In order to probe different components of the Galactic halo, we have applied the Gaussian Mixture Models method to a selected sample of metal poor stars with [Fe/H] dex in the APOGEE DR16 catalogue based on four-parameters, metallicity, [Mg/Fe] ratio and spatial velocity (\textit{, }). Nine groups are identified with four from the halo (group 1, 3, 4 and 5), one from the thick disk (group 6), one from the thin disk (group 8) and one from dwarf galaxies (group 7) by analyzing their distributions in the ([M/H], [Mg/Fe]), (, ), (\textit{Zmax}, \textit{eccentricity}), (\textit{Energy}, \textit{Lz}) and ([Mg/Mn], [Al/Fe]) coordinates. The rest two groups are respectively caused by observational effect (group 9) and the cross section component (group 2) between the thin disk and…
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