Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks
Experiments in particle physics produce enormous quantities of data that must be analyzed and interpreted by teams of physicists. This analysis is often exploratory, where scientists are unable to enumerate the possible types of signal prior to performing the experiment. Thus, tools for summarizing, clustering, visualizing and classifying high-dimensional data …