papers
Publications (2)
hep-ex2022
Neutrino Characterisation using Convolutional Neural Networks in CHIPS water Cherenkov detectors
Josh Tingey, Simeon Bash, John Cesar +8
This work presents a novel approach to water Cherenkov neutrino detector event reconstruction and classification. Three forms of a Convolutional Neural Network have been trained to…
hep-ex2014
The Long-Baseline Neutrino Experiment: Exploring Fundamental Symmetries of the Universe
LBNE Collaboration, Corey Adams, David Adams +482
The preponderance of matter over antimatter in the early Universe, the dynamics of the supernova bursts that produced the heavy elements necessary for life and whether protons even…