Journal article icon

Journal article

Neutron tagging following atmospheric neutrino events in a water Cherenkov detector

Abstract:
Artículo escrito por un elevado número de autores. Solo se referencia el que aparece en primer lugar, el nombre del grupo de colaboración si hubiere y los autores pertenecientes a la UAMWe 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 μsWe gratefully acknowledge the cooperation of the Kamioka Mining and Smelting Company. The Super-Kamiokande experiment has been built and operated from funding by the Japanese Ministry of Education, Culture, Sports, Science and Technology, the U.S. Department of Energy, and the U.S. National Science Foundation. Some of us have been supported by funds from the National Research Foundation of Korea NRF-2009-0083526 (KNRC) funded by the Ministry of Science, ICT, and Future Planning and the Ministry of Education (2018R1D1A3B07050696, 2018R1D1A1B07049158), the Japan Society for the Promotion of Science, the National Natural Science Foundation of China under Grants No. 11235006, the Spanish Ministry of Science, Universities and Innovation (grant PGC2018-099388-B-I00), the Natural Sciences and Engineering Research Council (NSERC) of Canada, the Scinet and Westgrid consortia of Compute Canada, the National Science Centre, Poland (2015/18/E/ST2/00758), the Science and Technology Facilities Council (STFC) and GridPP, U.K., the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie grant agreement no.754496, H2020-MSCA-RISE- 2018 JENNIFER2 grant agreement no.822070, and H2020-MSCA-RISE-2019 SK2HK grant agreement no. 87254
Publication status:
Published
Peer review status:
Peer reviewed

Actions

Access Document

Files:
Publisher copy:
10.1088/1748-0221/17/10/p10029
Publication website:
https://repositorio.uam.es/bitstream/10486/720445/1/9226382.pdf

Authors

More by this author
Role:
Author
ORCID:
0009-0000-9620-788X
More by this author
Role:
Author
ORCID:
0000-0002-8683-5038
More by this author
Role:
Author
ORCID:
0000-0003-1229-9452
More by this author
Role:
Author
ORCID:
0000-0002-7791-5044


Publisher:
IOP Publishing
Journal:
Journal of Instrumentation More from this journal
Volume:
17
Issue:
10
Pages:
P10029-P10029
Publication date:
2022-10-18
DOI:
EISSN:
1748-0221
ISSN:
1748-0221


Language:
English
Keywords:
Pubs id:
1309809
Local pid:
pubs:1309809
Source identifiers:
W4300982471
Deposit date:
2026-04-30
ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP