Kinematic reconstruction of atmospheric neutrino events in a large water Cherenkov detector with proton identification

Abstract

We report the development of a proton identification method for the Super-Kamiokande (SK) detector. This new tool is applied to the search for events with a single proton track, a high purity neutral current sample of interest for sterile neutrino searches. After selection using a neural network, we observe 38 events in the combined SK-I and SK-II data corresponding to 22 85.1 days of exposure, with an estimated signal-to-background ratio of 1.6 to 1. Proton identification was also applied to a direct search for charged-current quasielastic (CCQE) events, obtaining a high precision sample of fully kinematically reconstructed atmospheric neutrinos, which has not been previously reported in water Cherenkov detectors. The CCQE fraction of this sample is 55%, and its neutrino (as opposed to antineutrino) fraction is 91.7{+-}3%. We selected 78{mu}-like and 47 e-like events in the SK-I and SK-II data set. With this data, a clear zenith angle distortion of the neutrino direction itself is reported in a sub-GeV sample of {mu} neutrinos where the lepton angular correlation to the incoming neutrino is weak. Our fit to {nu}{sub {mu}}{yields}{nu}{sub {tau}} oscillations using the neutrino (L/E) distribution of the CCQE sample alone yields a wide acceptance region compatible with our previousmore » results and excludes the no-oscillation hypothesis at 3-sigma.« less