Estimating Initial Mass of Gaia-Enceladus Dwarf Galaxy with Chemical Evolution Model
Olcay Plevne, Furkan Akbaba

TL;DR
This study estimates the initial mass and chemical evolution history of Gaia-Enceladus using spectroscopic and astrometric data, chemical evolution modeling, and machine learning to understand its role in the Milky Way's formation.
Contribution
It introduces a combined approach of machine learning and chemical evolution modeling to determine Gaia-Enceladus's initial mass and star formation history, revealing a high initial mass and rapid evolution.
Findings
Estimated Gaia-Enceladus initial gas mass: ~5 billion solar masses
Indicates rapid star formation with significant outflows
Suggests star formation ceased within first 4 Gyr
Abstract
This work investigates the initial mass and chemical evolution history of the Gaia-Enceladus dwarf galaxy. We combine spectroscopic data from APOGEE with astrometric data from Gaia DR3 to identify Gaia-Enceladus candidate stars via a machine-learning pipeline using t-SNE and HDBSCAN. By focusing on kinematic and chemical parameters, especially , , , and , we uncover a population of metal-poor, high-eccentricity stars that align with literature criteria for Gaia-Enceladus debris. We then apply the \textit{OMEGA+} chemical evolution model, incorporating MCMC fitting of the observed abundance trends in the plane. Our best-fitting model indicates a gas mass of for Gaia-Enceladus, placing it at the higher end of previously suggested mass ranges.…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Astro and Planetary Science · Stellar, planetary, and galactic studies
