Predicting large scale cosmological structure evolution with GAN-based autoencoders

arXiv:2403.02171v1 Announce Type: cross
Abstract: Cosmological simulations play a key role in the prediction and understanding of large scale structure formation from initial conditions. We make use of GAN-based Autoencoders (AEs) in an attempt to predict structure evolution within simulations. The AEs are trained on images and cubes issued from respectively 2D and 3D N-body simulations describing the evolution of the dark matter (DM) field. We find that while the AEs can predict structure evolution for 2D simulations of DM …

abstract arxiv astro-ph.co autoencoders cs.lg evolution gan images key prediction role scale simulations type understanding