Roi Kugel, Joop Schaye, Matthieu Schaller, John C Helly, Joey Braspenning, Willem Elbers, Carlos S Frenk, Ian G McCarthy, Juliana Kwan, Jaime Salcido, Marcel P van Daalen, Bert Vandenbroucke, Yannick M Bahé, Josh Borrow, Evgenii Chaikin, Filip Huško, Adrian Jenkins, Cedric G Lacey, Folkert S J Nobels, Ian Vernon
To fully take advantage of the data provided by large-scale structure surveys, we need to quantify the potential impact of baryonic effects, such as feedback from active galactic nuclei (AGN) and star formation, on cosmological observables. In simulations, feedback processes originate on scales that remain unresolved. Therefore, they need to be sourced via subgrid models that contain free parameters. We use machine learning to calibrate the AGN and stellar feedback models for the FLAMINGO (Fullhydro Large-scale structure simulations with All-sky Mapping for the Interpretation of Next Generation Observations) cosmological hydrodynamical simulations...
December 2023: Monthly Notices of the Royal Astronomical Society