%0 Journal Article
%T Neutron tagging following atmospheric neutrino events in a water Cherenkov detector
%A Super-Kamiokande Collaboration (Abe, K. et al
%A Molina Sedgwick, S.
%J Journal of Instrumentation
%D 2022
%V 17
%N 10
%I IOP Publishing Ltd
%@ 1748-0221
%G English
%F Super-KamiokandeCollaborationAbe+MolinaSedgwick2022
%O WOS:000898723700008
%O exported from refbase (https://references.ific.uv.es/refbase/show.php?record=5441), last updated on Fri, 13 Jan 2023 10:18:08 +0000
%X 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.
%K Particle identification methods
%K Cherenkov detectors
%K Neutrino detectors
%K Large detector systems for particle and astroparticle physics
%R 10.1088/1748-0221/17/10/P10029
%U https://arxiv.org/abs/2209.08609
%U https://doi.org/10.1088/1748-0221/17/10/P10029
%P P10029 - 41pp