Realistic mock observations of the sizes and stellar mass surface densities of massive galaxies in FIRE-2 zoom-in simulations
Tyler Parsotan, Rachel Cochrane, Chris Hayward, Daniel Angles-Alcazar,, Robert Feldmann, Claude-Andre Faucher-Giguere, Sarah Wellons, Phil Hopkins

TL;DR
This study uses mock observations from FIRE-2 simulations to assess galaxy sizes and densities, finding good agreement at high redshift but over-compactness at lower redshift, indicating a need for additional feedback mechanisms.
Contribution
It introduces a method to generate realistic mock observations of simulated galaxies and compares their properties to actual observations, highlighting the importance of feedback processes.
Findings
Simulated sizes and densities are within a factor of two of intrinsic values.
At high redshift, simulated galaxies match observed scaling relations.
At lower redshift, simulated galaxies become too compact and star-forming.
Abstract
The galaxy size-stellar mass and central surface density-stellar mass relationships are observational constraints on galaxy formation models. However, inferring the physical size of a galaxy from observed stellar emission is non-trivial due to various observational effects. Consequently, forward-modeling light-based sizes from simulations is desirable. In this work, we use the {\skirt} dust radiative transfer code to generate synthetic observations of massive galaxies ( at , hosted by haloes of mass ) from high-resolution cosmological zoom-in simulations that form part of the Feedback In Realistic Environments (FIRE) project. The simulations used in this paper include explicit stellar feedback but no active galactic nucleus (AGN) feedback. From each mock observation, we infer the effective radius (),…
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