The EAGLE simulations of galaxy formation: calibration of subgrid physics and model variations
Robert A. Crain, Joop Schaye, Richard G. Bower, Michelle Furlong,, Matthieu Schaller, Tom Theuns, Claudio Dalla Vecchia, Carlos S. Frenk, Ian G., McCarthy, John C. Helly, Adrian Jenkins, Yetli M. Rosas-Guevara, Simon D. M., White, James W. Trayford

TL;DR
The paper presents a suite of cosmological simulations exploring how different subgrid physics models affect galaxy formation, demonstrating that calibrated feedback processes are essential for reproducing observed galaxy properties.
Contribution
It introduces the EAGLE simulation suite with calibrated feedback models that successfully reproduce observed galaxy sizes and scaling relations, highlighting the importance of feedback in galaxy formation.
Findings
Simulations with reduced radiative losses produce realistic galaxy sizes.
Feedback from star formation and black hole accretion jointly shape galaxy properties.
Calibrated models match multiple observed galaxy scaling relations.
Abstract
We present results from thirteen cosmological simulations that explore the parameter space of the "Evolution and Assembly of GaLaxies and their Environments" (EAGLE) simulation project. Four of the simulations follow the evolution of a periodic cube L = 50 cMpc on a side, and each employs a different subgrid model of the energetic feedback associated with star formation. The relevant parameters were adjusted so that the simulations each reproduce the observed galaxy stellar mass function at z = 0.1. Three of the simulations fail to form disc galaxies as extended as observed, and we show analytically that this is a consequence of numerical radiative losses that reduce the efficiency of stellar feedback in high-density gas. Such losses are greatly reduced in the fourth simulation - the EAGLE reference model - by injecting more energy in higher density gas. This model produces galaxies…
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