Simulation of Hadronic Interactions with Deep Generative Models
We explore the use of conditional normalizing flow in the simulation of interaction between hadronic particles and atomic nuclei in ordinary matter. We trained generative models to reproduce data simulated by the state-of-the-art simulator, conditioned on the kinematics of the incoming hadron.