@Article{Super-KamiokandeCollaborationAbe+MolinaSedgwick2022,
author="Super-Kamiokande Collaboration (Abe, K. et al
and Molina Sedgwick, S.",
title="Neutron tagging following atmospheric neutrino events in a water Cherenkov detector",
journal="Journal of Instrumentation",
year="2022",
publisher="IOP Publishing Ltd",
volume="17",
number="10",
pages="P10029 - 41pp",
optkeywords="Particle identification methods; Cherenkov detectors; Neutrino detectors; Large detector systems for particle and astroparticle physics",
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 $\mu$s.",
optnote="WOS:000898723700008",
optnote="exported from refbase (https://references.ific.uv.es/refbase/show.php?record=5441), last updated on Fri, 13 Jan 2023 10:18:08 +0000",
issn="1748-0221",
doi="10.1088/1748-0221/17/10/P10029",
opturl="https://arxiv.org/abs/2209.08609",
opturl="https://doi.org/10.1088/1748-0221/17/10/P10029",
language="English"
}