Neutron tagging following atmospheric neutrino events in a water Cherenkov detector

We present the development of neutron-tagging techniques in Super-Kamiokande IV using a neural network analysis. The detection efficiency of neutron capture on hydrogen is estimated to be 26%, with a mis-tag rate of 0.016 per neutrino event. The uncertainty of the tagging efficiency is estimated to...

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Veröffentlicht in:	Journal of instrumentation 2022-10, Vol.17 (10), p.P10029
Hauptverfasser:	Hayato, Y., Ikeda, M., Kato, Y., Kishimoto, Y., Miki, S., Miura, M., Mochizuki, T., Nakayama, S., Okada, T., Orii, A., Sato, K., Shiozawa, M., Sonoda, Y., Takenaka, A., Ueno, K., Yano, T., Kaneyuki, K., McLachlan, T., Okumura, K., Bravo-Berguño, D., Zaldivar, B., Gustafson, J., Sulak, L.R., Wan, L., Wester, T., Pointon, B.W., Bian, J., Carminati, G., Smy, M.B., Kim, J.Y., Akiri, T., O'Sullivan, E., Bernard, L., Mueller, Th.A., Ishizuka, T., Choi, K., Smith, S.N., Litchfield, R.P., Ma, W.Y., Sztuc, A.A., Calabria, N.F., Iacob, F., Maekawa, Y., Cao, S., Nakadaira, T., Taani, M., Miyabe, H., Ozaki, H., Shiozawa, T., Takeuchi, Y., Ashida, Y., Bronner, C., Feng, J., Jiang, M., McCauley, N., Itow, Y., Niwa, T., Suzuki, T., Li, X., Palomino, J.L., Santucci, G., Yanagisawa, C., Fukuda, D., Harada, M., Ishino, H., Koshio, Y., Yamaguchi, R., Kuno, Y., Barr, G., Cook, L., Wark, D., Malek, M., Choi, Y., Kim, S.B., Ichikawa, A.K., Nishijima, K., Calland, R.G., Martens, K., Vagins, M.R., Iwamoto, K., Ogawa, N., Yokoyama, M., Izumiyama, S., Kuze, M., Okajima, Y., Inomoto, M., Ishitsuka, M., Matsumoto, R., Shinoki, M., Towstego, T., Akutsu, R., Konaka, A., Prouse, N.W., Xu, B.D., Zhang, Y., Tobayama, S., Hadley, D., Richards, B., Minamino, A., Okamoto, K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Americium Beryllium Cerenkov counters Cherenkov detectors High Energy Physics - Experiment Instrumentation and Detectors INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY Large detector systems for particle and astroparticle physics Marking Network analysis Neural networks Neutrino detectors Neutrinos Nuclear capture Particle identification methods Physics PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
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Zusammenfassung:	We present the development of neutron-tagging techniques in Super-Kamiokande IV using a neural network analysis. The detection efficiency of neutron capture on hydrogen is estimated to be 26%, with a mis-tag rate of 0.016 per neutrino event. The uncertainty of the tagging efficiency is estimated to be 9.0%. Measurement of the tagging efficiency with data from an Americium-Beryllium calibration agrees with this value within 10%. The tagging procedure was performed on 3,244.4 days of SK-IV atmospheric neutrino data, identifying 18,091 neutrons in 26,473 neutrino events. The fitted neutron capture lifetime was measured as 218±9 μs.
ISSN:	1748-0221 1748-0221
DOI:	10.1088/1748-0221/17/10/P10029