Author

B. Richards

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#machine learning Open access May 2026

Deep-learning-based low-energy trigger algorithms for the Hyper-Kamiokande experiment

The performance of deep-learning-based trigger algorithms for a large water Cherenkov detector such as Hyper-Kamiokande, aimed at low-energy neutrino events (below 7 MeV), including custom neural-network supervised classifiers is shown.

K. Lachner, Saúl Alonso-Monsalve, B. Richards et al. · Physical Review D · 0 citations