Abstract
We use a cosmological hydrodynamic simulation calculated with Enzo and the
semi-analytic galaxy formation model (SAM) GAMMA to address the chemical
evolution of dwarf galaxies in the early universe. The overall goal is to
better understand the origin of metal-poor stars and the formation of dwarf
galaxies and the Milky Way halo by cross-validating these theoretical
approaches. We combine GAMMA with the merger tree of the most massive galaxy
found in the hydrodynamic simulation and compare the star formation rate, the
metallicity distribution function (MDF), and the age-metallicity relationship
predicted by the two approaches. We found that the SAM can reproduce the global
trends of the hydrodynamic simulation. However, there are degeneracies and more
constraints need to be extracted from the simulation to isolate the correct
semi-analytic solution. Non-uniform mixing in the galaxy's interstellar medium,
coming primarily from self-enrichment by local supernovae, causes a broadening
in the MDF that can be emulated in the SAM by convolving its predicted MDF with
a Gaussian function having a standard deviation of $\sim$0.2 dex. However,
stochastic processes such as bursty star formation histories and star formation
triggered by supernova explosions cannot be reproduced by the current version
of GAMMA. Moreover, we found that massive stars in building-block galaxies tend
to explode and generate outflows while falling inside the main galaxy's halo,
leading to a complex multiphase circumgalactic medium with a wide range of
temperatures, densities, and metallicities, as opposed to the hot, isothermal,
well-mixed halo gas in equilibrium assumed in SAMs.
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