EAGLE-Auriga: effects of different subgrid models on the baryon cycle around Milky Way-mass galaxies
Ashley J. Kelly, Adrian Jenkins, Alis Deason, Azadeh Fattahi, Robert, J. J. Grand, R\"udiger Pakmor, Volker Springel, Carlos S. Frenk

TL;DR
This study compares how different subgrid models in hydrodynamical simulations affect the baryon content and gas properties of Milky Way-like galaxies, revealing significant differences driven by supernova feedback implementations.
Contribution
It demonstrates that subgrid physics models lead to divergent predictions of baryon distribution and gas dynamics in galaxy halos, highlighting the importance of feedback modeling.
Findings
Auriga predicts near baryon closure in MW halo, EAGLE predicts only half.
EAGLE shows high-redshift outflows eject baryons and hinder accretion.
Differences stem from distinct supernova energy injection methods.
Abstract
Modern hydrodynamical simulations reproduce many properties of the real universe. These simulations model various physical processes, but many of these are included using `subgrid models' due to resolution limits. Although different subgrid models have been successful in modelling the effects of supernovae (SNe) feedback on galactic properties, it remains unclear if, and by how much, these differing implementations affect observable halo gas properties. In this work, we use `zoom-in' cosmological initial conditions of two volumes selected to resemble the Local Group (LG) evolved with both the Auriga and EAGLE galaxy formation models. While the subgrid physics models in both simulations reproduce realistic stellar components of galaxies, they exhibit different gas properties. Namely, Auriga predicts that the Milky Way (MW) is almost baryonically closed, whereas EAGLE suggests…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Gamma-ray bursts and supernovae
