most citedApplication of machine learning techniques to lepton energy reconstruction in water Cherenkov detectors

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physics.ins-det2017★ 5 cited

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…