2 papers
physics.ins-det2025
CycleGAN-Driven Transfer Learning for Electronics Response Emulation in High-Purity Germanium Detectors
Kevin Bhimani, Julieta Gruszko, Morgan Clark +2
High-Purity Germanium (HPGe) detectors are a key technology for rare-event searches such as neutrinoless double-beta decay (\ensuremath{0νββ}) and dark matter experiments. Pulse sh…
physics.data-an2024
Machine learning-powered data cleaning for LEGEND: a semi-supervised approach using affinity propagation and support vector machines
E. León, A. Li, M. A. Bahena Schott +8
Neutrinoless double-beta decay () is a rare nuclear process that, if observed, will provide insight into the nature of neutrinos and help explain the matter-antimatter asymme…