Simulations of the galaxy population constrained by observations from z=3 to the present day: implications for galactic winds and the fate of their ejecta
Bruno Henriques (MPA), Simon White (MPA), Peter Thomas (Sussex), Raul, Angulo (Stanford), Qi Guo (Beijing), Gerard Lemson (MPA), Volker Springel, (HITS)

TL;DR
This study uses advanced simulations constrained by observations from redshift 3 to today to improve understanding of galactic winds, feedback, and galaxy evolution, proposing a model with redshift- and mass-dependent reaccretion timescales.
Contribution
It introduces a novel model where galactic wind reaccretion timescales depend on halo mass and are redshift-independent, fitting galaxy observations across all redshifts.
Findings
Reproduces observed galaxy abundances from z=0 to z=3.
Suggests reaccretion efficiency varies with halo mass and redshift.
Produces younger, bluer dwarf galaxies with improved clustering properties.
Abstract
We apply Monte Carlo Markov Chain (MCMC) methods to large-scale simulations of galaxy formation in a LambdaCDM cosmology in order to explore how star formation and feedback are constrained by the observed luminosity and stellar mass functions of galaxies. We build models jointly on the Millennium and Millennium-II simulations, applying fast sampling techniques which allow observed galaxy abundances over the ranges 7<log(M*/Msun)<12 and z=0 to z=3 to be used simultaneously as constraints in the MCMC analysis. When z=0 constraints alone are imposed, we reproduce the results of previous modelling by Guo et al. (2012), but no single set of parameters can reproduce observed galaxy abundances at all redshifts simultaneously, reflecting the fact that low-mass galaxies form too early and thus are overabundant at high redshift in this model. The data require the efficiency with which galactic…
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