2 papers
physics.ins-det2017
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…
physics.ins-det2017
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…