Finding accreted stars in the Milky Way: clues from NIHAO simulations
Sven Buder, Luka Mijnarends, and Tobias Buck

TL;DR
This paper uses NIHAO simulations to improve methods for identifying accreted stars in the Milky Way, emphasizing the importance of precise age and chemical measurements for understanding galactic formation and merger history.
Contribution
It demonstrates how simulation data combined with observational diagnostics can better distinguish accreted stars, highlighting the role of accurate age and chemical abundance measurements.
Findings
[Al/Fe] vs. [Mg/Mn] diagnostics align with observations but show overlaps among accretion events.
Clear separation of star groups is possible with <0.15 dex chemical uncertainties and <20% age uncertainties.
Simulations help link galactic mergers to differences in thin and thick disk stars.
Abstract
Exploring the marks left by galactic accretion in the Milky Way helps us understand how our Galaxy was formed. However, finding and studying accreted stars and the galaxies they came from has been challenging. This study uses a simulation from the NIHAO project, which now includes a wider range of chemical compositions, to find better ways to spot these accreted stars. By comparing our findings with data from the GALAH spectroscopic survey, we confirm that the observationally established diagnostics of [Al/Fe] vs. [Mg/Mn] also show a separation of in-situ and accreted stars in the simulation, but stars from different accretion events tend to overlap in this plane even without observational uncertainties. Looking at the relationship between stellar age and linear or logarithmic abundances, such as [Fe/H], we can clearly separate different groups of these stars if the uncertainties in…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Stellar, planetary, and galactic studies · Astro and Planetary Science
