Generative adversarial networks for scintillation signal simulation in EXO-200
Generative adversarial networks for scintillation signal simulation in EXO-200
Generative Adversarial Networks trained on samples of simulated or actual events have been proposed as a way of generating large simulated datasets at a reduced computational cost. In this work, a novel approach to perform the simulation of photodetector signals from the time projection chamber of the EXO-200 experiment is …