Hydrodynamical simulations and semi-analytic models of galaxy formation: two sides of the same coin
Eyal Neistein, Sadegh Khochfar, Claudio Dalla Vecchia, and Joop Schaye

TL;DR
This paper introduces a novel method to convert hydrodynamical galaxy formation simulations into semi-analytic models, achieving high accuracy in galaxy mass predictions and providing insights into galaxy evolution processes.
Contribution
The authors develop a new approach to derive semi-analytic models directly from hydrodynamical simulations, maintaining object-by-object mass accuracy across redshifts.
Findings
Mass deviations are within 0.1 dex for individual galaxies.
A single galaxy's formation history suffices to reproduce entire galaxy populations.
Efficiencies derived differ significantly from standard SAM recipes.
Abstract
In this work we develop a new method to turn a state-of-the-art hydrodynamical cosmological simulation of galaxy formation (HYD) into a simple semi-analytic model (SAM). This is achieved by summarizing the efficiencies of accretion, cooling, star formation, and feedback given by the HYD, as functions of the halo mass and redshift. Surprisingly, by turning the HYD into a SAM, we conserve the mass of individual galaxies, with deviations at the level of 0.1 dex, on an object-by-object basis. This is true for all redshifts, and for the mass of stars and gas components, although the agreement reaches 0.2 dex for satellite galaxies at low redshift. We show that the same level of accuracy is obtained even in case the SAM uses only one phase of gas within each galaxy. Moreover, we demonstrate that the formation history of one massive galaxy provides sufficient information for the SAM to…
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