Speaker
Description
Cosmological simulations provide a powerful framework for investigating the growth and evolution of large-scale structures (LSS) in the Universe, with their ability to approximate a diverse range of physical processes and test models that can be evaluated by observations. This research addresses the challenges of understanding how matter clustering in galaxy groups and clusters is affected by different configurations in both cosmology and astrophysics. We present the development and initial results of a Gaussian Process emulator, trained on 150 N-body simulations, similar in design to the FLAMINGO and BAHAMAS simulations. This emulator, part of a FLAMINGO sister project, accommodates different particle resolutions, capturing both large- and small-scale clustering. The emulator will be able to make testable predictions for models that vary different ΛCDM cosmologies, baryonic feedback, and extensions to the standard model, such as massive neutrinos, dynamical dark energy, and running of the spectral index; which can be directly compared to observational datasets from upcoming surveys such as LSST and Euclid to constrain tensions present in LSS cosmology.