Machine Learning for neutron source distributions

Jose Ignacio Robledo, Norberto Schmidt, Klaus Lieutenant +3

In light of the recent advancements in machine learning, we propose a novel approach to neutron source distribution estimation through the utilisation of probabilistic generative m…