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hep-ex2026
Enhancing Event Reconstruction in Hyper-Kamiokande with Machine Learning: A ResNet Implementation
Andrew Atta, Nick Prouse, Shuoyu Chen +4
The forthcoming Hyper-Kamiokande experiment requires substantially larger Monte Carlo datasets than previous experiments to satisfy stringent systematic-uncertainty requirements. W…
hep-ex2025
Sensitivity of the Hyper-Kamiokande experiment to neutrino oscillation parameters using acceleration neutrinos
Kamiokande Collaboration
This paper describes the analysis to estimate the sensitivity of the Hyper-Kamiokande experiment to long-baseline neutrino oscillation parameters using accelerator (anti)neutrinos.…