In:
Journal of Instrumentation, IOP Publishing, Vol. 17, No. 10 ( 2022-10-01), p. P10029-
Kurzfassung:
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.
Materialart:
Online-Ressource
ISSN:
1748-0221
DOI:
10.1088/1748-0221/17/10/P10029
Sprache:
Unbekannt
Verlag:
IOP Publishing
Publikationsdatum:
2022
ZDB Id:
2235672-1