A Comparison between Semi-Analytic Model Predictions for the CANDELS Survey
Yu Lu, Risa H. Wechsler, Rachel S. Somerville, Darren Croton, Lauren, Porter, Joel Primack, Peter S. Behroozi, Henry C. Ferguson, David C. Koo,, Yicheng Guo, Mohammadtaher Safarzadeh, Kristian Finlator, Marco Castellano,, Catherine E. White, Veronica Sommariva, Chris Moody

TL;DR
This study compares three semi-analytic galaxy formation models applied to the CANDELS survey, revealing similarities in mass assembly predictions but significant differences in star formation and metallicity predictions, highlighting challenges in galaxy formation understanding.
Contribution
It provides a comparative analysis of three semi-analytic models, highlighting their similarities and differences in predicting galaxy properties and their implications for interpreting observational data.
Findings
Models agree on galaxy mass assembly histories
Models require strong outflows to match local stellar mass function
Predictions for metallicity and star formation rates diverge from data
Abstract
We compare the predictions of three independently developed semi-analytic galaxy formation models that are being used to aid in the interpretation of results from the CANDELS survey. These models are each applied to the same set of halo merger trees extracted from the "Bolshoi" simulation and are carefully tuned to match the local galaxy stellar mass function using the powerful method of Bayesian Inference coupled with MCMC or by hand. The comparisons reveal that in spite of the significantly different parameterizations for star formation and feedback processes, the three models yield qualitatively similar predictions for the assembly histories of galaxy stellar mass and star formation over cosmic time. We show that the SAMs generally require strong outflows to suppress star formation in low-mass halos to match the present day stellar mass function. However, all of the models considered…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena
