most citedAdversarial methods to reduce simulation bias in neutrino interaction event filtering at Liquid Argon Time Projection Chambers

3 citations · 3 across the 3 of their papers we have counts for

collaborators
Showing physics.ins-detShow all

1 paper · 1 filter

physics.ins-det2026

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

Katharina Lachner, Saúl Alonso-Monsalve, Benjamin Richards +1

Modern machine learning techniques have become increasingly important in particle physics because of their powerful pattern-recognition capabilities, including in real-time data ac…