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.

Neutron tagging following atmospheric neutrino events in a water Cherenkov detector / Abe, K., Haga, Y., Hayato, Y., Hiraide, K., Ieki, K., Ikeda, M., Imaizumi, S., Iyogi, K., Kameda, J., Kanemura, Y., Kataoka, Y., Kato, Y., Kishimoto, Y., Miki, S., Mine, S., Miura, M., Mochizuki, T., Moriyama, S., Nagao, Y., Nakahata, M., et al.. - In: JOURNAL OF INSTRUMENTATION. - ISSN 1748-0221. - STAMPA. - 17:10(2022). [10.1088/1748-0221/17/10/p10029]

Neutron tagging following atmospheric neutrino events in a water Cherenkov detector

V. Berardi
Membro del Collaboration Group
;
N. F. Calabria
Membro del Collaboration Group
;
2022

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.
2022
Neutron tagging following atmospheric neutrino events in a water Cherenkov detector / Abe, K., Haga, Y., Hayato, Y., Hiraide, K., Ieki, K., Ikeda, M., Imaizumi, S., Iyogi, K., Kameda, J., Kanemura, Y., Kataoka, Y., Kato, Y., Kishimoto, Y., Miki, S., Mine, S., Miura, M., Mochizuki, T., Moriyama, S., Nagao, Y., Nakahata, M., et al.. - In: JOURNAL OF INSTRUMENTATION. - ISSN 1748-0221. - STAMPA. - 17:10(2022). [10.1088/1748-0221/17/10/p10029]
File in questo prodotto:
File Dimensione Formato  
Abe_2022_J._Inst._17_P10029.pdf

accesso aperto

Tipologia: Versione editoriale
Licenza: Creative commons
Dimensione 5.99 MB
Formato Adobe PDF
5.99 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/251900
Citazioni
  • Scopus 11
  • ???jsp.display-item.citation.isi??? 10
social impact