908 citations · 1.7k across the 43 of their papers we have counts for
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Application of machine learning techniques to lepton energy reconstruction in water Cherenkov detectors
E. Drakopoulou, G. A. Cowan, M. D. Needham +2
The application of machine learning techniques to the reconstruction of lepton energies in water Cherenkov detectors is discussed and illustrated for TITUS, a proposed intermediate…
Accelerator Neutrino Neutron Interaction Experiment (ANNIE): Preliminary Results and Physics Phase Proposal
A. R. Back, J. F. Beacom, M. Bergevin +28
The R&D mission of the Accelerator Neutrino Neutron Interaction Experiment (ANNIE) is described in detail. ANNIE is: (1) an important measurement of neutrino-nucleus interactions f…
Machine Learning-based Energy Reconstruction for Water-Cherenkov detectors
Greig Cowan, Evangelia Drakopoulou, Matthew Needham +1
Hyper-Kamiokande (Hyper-K) is a proposed next generation underground water Cherenkov (WCh) experiment. The far detector will measure the oscillated neutrino flux from the long-base…