The Circumgalactic Medium from the CAMELS Simulations: Forecasting Constraints on Feedback Processes from Future Sunyaev-Zeldovich Observations
Emily Moser, Nicholas Battaglia, Daisuke Nagai, Erwin Lau, Luis, Fernando Machado Poletti Valle, Francisco Villaescusa-Navarro, Stefania, Amodeo, Daniel Angles-Alcazar, Greg L. Bryan, Romeel Dave, Lars Hernquist,, Mark Vogelsberger

TL;DR
This paper forecasts how future Sunyaev-Zeldovich observations can constrain feedback processes in the circumgalactic medium using CAMELS simulations, highlighting the potential to refine galaxy formation models.
Contribution
It introduces an emulator-based method to forecast constraints on feedback parameters from upcoming SZ data using CAMELS simulations with varied feedback models.
Findings
All four feedback parameters can be constrained within 10% with future observations.
Inner SZ profiles provide more constraining power than outer profiles.
Current models cannot reproduce the observed tSZ signal of BOSS galaxies.
Abstract
The cycle of baryons through the circumgalactic medium (CGM) is important to understand in the context of galaxy formation and evolution. In this study we forecast constraints on the feedback processes heating the CGM with current and future Sunyaev-Zeldovich (SZ) observations. To constrain these processes, we use a suite of cosmological simulations, the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS), that varies four different feedback parameters of two previously existing hydrodynamical simulations, IllustrisTNG and SIMBA. We capture the dependencies of SZ radial profiles on these feedback parameters with an emulator, calculate their derivatives, and forecast future constraints on these feedback parameters from upcoming experiments. We find that for a DESI-like (Dark Energy Spectroscopic Instrument) galaxy sample observed by the Simons Observatory all four…
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