Prospects for distinguishing galaxy evolution models with surveys at redshifts $z \gtrsim 4$
Jordan Mirocha

TL;DR
This paper compares different galaxy formation models at high redshifts, showing that distinguishing them requires better measurements of galaxy clustering, dust content, and star formation activity.
Contribution
It calibrates universal and feedback-regulated models to high-$z$ observations, highlighting key observational strategies to differentiate them.
Findings
Rapid decline in dust production and star formation duty cycle needed in feedback models
Models are similar in luminosity functions and colours, making them hard to distinguish
Galaxy clustering and dust content are crucial for model differentiation
Abstract
Many semi-empirical galaxy formation models have recently emerged to interpret high- galaxy luminosity functions and make predictions for future galaxy surveys. A common approach assumes a "universal" star formation efficiency, , independent of cosmic time but strongly dependent on the masses of dark matter halos. Though this class of models has been very successful in matching observations over much of cosmic history, simple stellar feedback models do predict redshift evolution in , and are commonly used in semi-analytic models. In this work, we calibrate a set of universal and feedback-regulated models to the same set of rest-ultraviolet observations, and find that a rapid, decline in both the efficiency of dust production and duty cycle of star formation are needed to reconcile feedback-regulated models with current…
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