11 citations · 30 across the 6 of their papers we have counts for
4 papers · 1 filter
Search for the Decay Mode in Super-Kamiokande Using Machine Learning Techniques
Kamiokande Collaboration, J. Feng, K. Abe +296
We report a new partial lifetime limit of years for the trinucleon decay mode , obtained from a searc…
Enhancing Event Reconstruction in Hyper-Kamiokande with Machine Learning: A ResNet Implementation
Andrew Atta, Nick Prouse, Shuoyu Chen +6
The forthcoming Hyper-Kamiokande experiment is expected to achieve unprecedented sensitivity to neutrino oscillations. Meeting these precision goals requires substantially larger M…
Neutron Tagging following Atmospheric Neutrino Events in a Water Cherenkov Detector
K. Abe, Y. Haga, Y. Hayato +301
We present the development of neutron-tagging techniques in Super-Kamiokande IV using a neural network analysis. The detection efficiency of neutron capture on hydrogen is estimate…
New Methods and Simulations for Cosmogenic Induced Spallation Removal in Super-Kamiokande-IV
Kamiokande Collaboration, S. Locke, A. Coffani +215
Radioactivity induced by cosmic muon spallation is a dominant source of backgrounds for MeV neutrino interactions in water Cherenkov detectors. In particular, it…