1. |
- Bravo, L, et al.
(author)
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- 2021
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swepub:Mat__t
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2. |
- Tabiri, S, et al.
(author)
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- 2021
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swepub:Mat__t
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3. |
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4. |
- Kanai, M, et al.
(author)
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- 2023
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swepub:Mat__t
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6. |
- Niemi, MEK, et al.
(author)
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- 2021
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swepub:Mat__t
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10. |
- Abe, K., et al.
(author)
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Neutron tagging following atmospheric neutrino events in a water Cherenkov detector
- 2022
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In: Journal of Instrumentation. - : Institute of Physics (IOP). - 1748-0221. ; 17:10
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Journal article (peer-reviewed)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.
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