The challenge of simultaneously matching the observed diversity of chemical abundance patterns in cosmological hydrodynamical simulations
Tobias Buck, Jan Rybizki, Sven Buder, Aura Obreja, Andrea V. Macci\`o,, Christoph Pfrommer, Matthias Steinmetz, Melissa Ness

TL;DR
This paper introduces a new flexible chemical enrichment model for cosmological simulations, highlighting the challenges in matching observed chemical abundance patterns in the Milky Way and dwarf galaxies.
Contribution
The authors develop and implement a time-resolved chemical enrichment model that allows for adjustable stellar physics parameters, enabling better comparison with observational data.
Findings
Total metallicity and oxygen abundance predictions are robust across yield sets.
Significant differences in individual element abundances, especially alpha-elements, across yield sets.
Most models show bimodality in [α/Fe] vs. [Fe/H], which may conflict with observed scatter.
Abstract
With the advent of large spectroscopic surveys the amount of high quality chemo-dynamical data in the Milky Way (MW) increased tremendously. Accurately and correctly capturing and explaining the detailed features in the high-quality observational data is notoriously difficult for state-of-the-art numerical models. In order to keep up with the quantity and quality of observational datasets, improved prescriptions for galactic chemical evolution need to be incorporated into the simulations. Here we present a new, flexible, time resolved chemical enrichment model for cosmological simulations. Our model allows to easily change a number of stellar physics parameters such as the shape of the initial mass function (IMF), stellar lifetimes, chemical yields or SN Ia delay times. We implement our model into the Gasoline2 code and perform a series of cosmological simulations varying a number of…
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