Predicting large scale cosmological structure evolution with generative adversarial network-based autoencoders

Marion Ullmo, Nabila Aghanim, Aurélien Decelle +1

Predicting the nonlinear evolution of cosmic structure from initial conditions is typically approached using Lagrangian, particle-based methods. These techniques excel in terms of…