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20192026
most citedApplying machine learning to Galactic Archaeology: how well can we recover the origin of stars in Milky Way-like galaxies?

4 citations · 8 across the 5 of their papers we have counts for

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astro-ph.GA2024★ 4 cited

Applying machine learning to Galactic Archaeology: how well can we recover the origin of stars in Milky Way-like galaxies?

Andrea Sante, Andreea S. Font, Sandra Ortega-Martorell +2

We present several machine learning (ML) models developed to efficiently separate stars formed in-situ in Milky Way-type galaxies from those that were formed externally and later a…