Connection between feedback processes and the effective yields of EAGLE galaxies

TL;DR

This paper uses EAGLE simulations to analyze how supernova and AGN feedback mechanisms influence galaxy properties and effective yields, enhancing understanding of galaxy evolution.

Contribution

It introduces a detailed analysis of feedback models' impact on galaxy properties and effective yields using cosmological simulations.

Findings

Feedback processes significantly alter galaxy scaling relations.

Effective yields can trace feedback effects in galaxy evolution.

Variations in feedback models lead to different galaxy property distributions.

Abstract

The feedback mechanisms triggered by supernova (SN) events and active galactic nuclei (AGN) play a central role in regulating the star formation and shaping galaxy properties. However, quantifying the impact and efficiency of these processes remains a challenge. In this study, we use the EAGLE cosmological hydrodynamics simulations to examine different models of SN and AGN feedback. Our goal is to investigate how variations in these processes impact the properties of simulated galaxy populations. Specifically, we focus on the analysis of effective yields, evaluating their capability to trace the effects of feedback processes on scaling relations. Our work contributes to a deeper understanding of the complex relationship between different feedback scenarios and the evolution of galaxies.