Title: Machine Learning and Deep Learning in the NEXT Neutrinoless Double Beta Decay Experiment

Speaker: Corey James (ANL)

Abstract

In the search for experimental observation of neutrinoless double beta decay, the Neutrino Experiment with a Xenon TPC (NEXT) program seeks to leverage both state of the art energy resolution as well as high resolution topological discrimination to separate double beta decay candidates from radiogenic and other backgrounds. In this talk, I will describe the NEXT Program and highlight it’s use of artificial intelligence and machine learning techniques to search for neutrinoless double beta decay.