3 citations · 3 across the 3 of their papers we have counts for
3 papers
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…
Transformer-Based Pulse Shape Discrimination in HPGe Detectors with Masked Autoencoder Pre-training
Marta Babicz, Saúl Alonso-Monsalve, Alain Fauquex +1
Pulse-shape discrimination (PSD) in high-purity germanium (HPGe) detectors is central to rare-event searches such as neutrinoless double-beta decay (0vBB), yet conventional approac…
Adversarial methods to reduce simulation bias in neutrino interaction event filtering at Liquid Argon Time Projection Chambers
Marta Babicz, Saúl Alonso-Monsalve, Stephen Dolan +1
For current and future neutrino oscillation experiments using large Liquid Argon Time Projection Chambers (LAr-TPCs), a key challenge is identifying neutrino interactions from the…