TY  - JOUR
AU  - Super-Kamiokande Collaboration (Abe, K. et al
AU  - Molina Sedgwick, S.
PY  - 2022
DA  - 2022//
TI  - Neutron tagging following atmospheric neutrino events in a water Cherenkov detector
T2  - J. Instrum.
JO  - Journal of Instrumentation
SP  - P10029 - 41pp
VL  - 17
IS  - 10
PB  - IOP Publishing Ltd
KW  - Particle identification methods
KW  - Cherenkov detectors
KW  - Neutrino detectors
KW  - Large detector systems for particle and astroparticle physics
AB  - 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.
SN  - 1748-0221
UR  - https://arxiv.org/abs/2209.08609
UR  - https://doi.org/10.1088/1748-0221/17/10/P10029
DO  - 10.1088/1748-0221/17/10/P10029
LA  - English
N1  - WOS:000898723700008
ID  - Super-KamiokandeCollaborationAbe+MolinaSedgwick2022
ER  -