Description
Cosmological simulations provide a powerful framework for investigating the non-linear growth and evolution of large-scale structure (LSS) in the Universe. This research addresses the challenges of understanding how large scale structure is affected by both cosmology and astrophysics with the aim of making precise predictions of observables such as the cosmic shear and galaxy clustering for the next generation of surveys such as LSST and Euclid. 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 predictions for the matter power spectrum for models that vary in baryonic feedback, and extensions to the ΛCDM standard model, such as massive neutrinos, dynamical dark energy, and running of the spectral index.
