期刊
PHYSICAL REVIEW D
卷 79, 期 11, 页码 -出版社
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevD.79.112010
关键词
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资金
- Japanese Ministry of Education, Science, Sports and Culture
- United States Department of Energy
- National Science Foundation
- Polish Committee for Scientific Research
- Korean Research Foundation [BK21]
- Korea Science and Engineering Foundation
- Japan Society for the Promotion of Science
- Research Corporation
- National Research Foundation of Korea [과06B1110, 과06A1102] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
- Grants-in-Aid for Scientific Research [19104005] Funding Source: KAKEN
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 2285.1 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(mu) -> nu(tau) oscillations using the neutrino L/E distribution of the CCQE sample alone yields a wide acceptance region compatible with our previous results and excludes the no-oscillation hypothesis at 3-sigma.
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