8 citations · 9 across the 4 of their papers we have counts for
4 papers
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…
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…
Ad-hoc Pulse Shape Simulation using Cyclic Positional U-Net
Aobo Li, Julieta Gruszko, Brady Bos +3
High-Purity Germanium~(HPGe) detectors have been a key technology for rare-event searches, such as neutrinoless double-beta decay and dark matter searches, for many decades. Pulse…
Future Advances in Photon-Based Neutrino Detectors: A SNOWMASS White Paper
Joshua R. Klein, Tomi Akindele, Adam Bernstein +17
We discuss here new, enabling technologies for future photon-based neutrino detectors. These technologies touch nearly every aspect of such detectors: new scintillating materials,…