Quantifying Baryonic Feedback on Warm-Hot Circumgalactic Medium in CAMELS Simulations
Isabel Medlock (1), Chloe Neufeld (1), Daisuke Nagai (1, 2), Daniel, Angl\'es Alc\'azar (3, 4), Shy Genel (5), Benjamin Oppenheimer (4), Xavier, Sims (3), Priyanka Singh (2, 6), and Francisco Villaescusa-Navarro (4 and, 7) ((1) Department of Astronomy Yale University

TL;DR
This study compares how different subgrid models of stellar and AGN feedback in CAMELS simulations influence baryon behavior, revealing complex interactions and their effects on halo properties across masses and redshifts.
Contribution
It provides a detailed analysis of feedback model impacts on baryons in CAMELS simulations, highlighting the interdependence of stellar and AGN feedback mechanisms.
Findings
IllustrisTNG shows higher cumulative feedback energy than SIMBA.
SIMBA exhibits a greater spread of baryons within halos.
Feedback parameters influence black hole growth and CGM gas fractions.
Abstract
The baryonic physics shaping galaxy formation and evolution are complex, spanning a vast range of scales and making them challenging to model. Cosmological simulations rely on subgrid models that produce significantly different predictions. Understanding how models of stellar and active galactic nuclei (AGN) feedback affect baryon behavior across different halo masses and redshifts is essential. Using the SIMBA and IllustrisTNG suites from the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project, we explore the effect of parameters governing the subgrid implementation of stellar and AGN feedback. We find that while IllustrisTNG shows higher cumulative feedback energy across all halos, SIMBA demonstrates a greater spread of baryons, quantified by the closure radius and circumgalactic medium (CGM) gas fraction. This suggests that feedback in SIMBA couples more…
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Taxonomy
TopicsElectromagnetic Simulation and Numerical Methods · Particle Accelerators and Free-Electron Lasers
