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Neutron tagging following atmospheric neutrino events in a water Cherenkov detector

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Published 18 October 2022 © 2022 The Author(s)
, , Citation K. Abe et al 2022 JINST 17 P10029 DOI 10.1088/1748-0221/17/10/P10029

1748-0221/17/10/P10029

Abstract

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.

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