Milky Way-like galaxies: stellar population properties of dynamically defined disks, bulges and stellar halos
Sara Ortega-Martinez, Aura Obreja, Rosa Dominguez-Tenreiro, Susana, Pedrosa, Yetli Rosas-Guevara, Patricia Tissera

TL;DR
This study uses dynamical decomposition via Gaussian Mixture models on EAGLE simulations to classify Milky Way-like galaxy components and analyze their properties and correlations.
Contribution
It introduces a physically motivated dynamical method to identify galaxy components and explores their stellar populations and dependencies in simulated galaxies.
Findings
All galaxies contain bulge, halo, and disk components.
Thin disks are distinct in age and metallicity from dispersion-dominated components.
Stellar population properties correlate with each other and weakly depend on dynamics.
Abstract
The formation of galaxies can be understood in terms of the assembly patterns of each type of galactic component. To perform this kind of analysis, is necessary to define some criteria to separate those components. Decomposition methods based on dynamical properties are more physically motivated than photometry-based ones. We use the unsupervised Gaussian Mixture model of \texttt{galactic structure finder} to extract the components of a sub-sample of galaxies with Milky Way-like masses from the EAGLE simulations. A clustering in the space of first and second order dynamical moments of all identified substructures reveals five types of galaxy components: thin and thick disks, stellar halos, bulges and spheroids. We analyse the dynamical, morphological and stellar population properties of these five component types, exploring to what extent these properties correlate with each other, and…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Spectroscopy and Chemometric Analyses
