Search for Diffuse Supernova Neutrino Background with 956.2 Days of Super-Kamiokande Gadolinium Dataset

Abstract We report the search result for the Diffuse Supernova Neutrino Background (DSNB) in neutrino energies beyond 9.3 MeV in the gadolinium-loaded Super-Kamiokande (SK) detector with a 22,500 × 956.2 m 3 day exposure. Starting in the summer of 2020, SK introduced 0.01% gadolinium (Gd) by mass into its ultrapure water to enhance the neutron capture signal, termed the SK-VI phase. This was followed by a 0.03% Gd-loading in 2022, a phase referred to as SK-VII. We then conducted a DSNB search using 552.2 days of SK-VI data and 404.0 days of SK-VII data through 2023 September. This analysis includes several new features, such as two new machine learning neutron detection algorithms with Gd, an improved atmospheric background-reduction technique, and two parallel statistical approaches. No significant excess over background predictions was found in a DSNB spectrum-independent analysis, and 90% confidence level (C.L.) upper limits on the astrophysical electron antineutrino flux were set. Additionally, a spectral fitting result exhibited a ∼1.2 σ disagreement with a null DSNB hypothesis, comparable to a previous result from 5823 days of all SK pure-water phases.

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Publication Details

Journal
The Astrophysical Journal
Published
2026-06-29
DOI
https://doi.org/10.3847/1538-4357/ae6c20
Primary Topic
Neutrino Physics Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Search for Diffuse Supernova Neutrino Background with 956.2 Days of Super-Kamiokande Gadolinium Dataset

T. Kajita, Takuji Nakamura, L. Ludovici, K. Choi et al.
The Astrophysical Journal
Neutrino Physics Research
article

Search for Diffuse Supernova Neutrino Background with 956.2 Days of Super-Kamiokande Gadolinium Dataset

T. Kajita, Takuji Nakamura, L. Ludovici, K. Choi, R Shinoda, Lorenzo Périssé, Y. Hayato, M. Feltre, Y. Kanemura, S. Miki, R. Rogly, J.S Jang, K Hosokawa, N.J Griskevich, H. Sekiya, R. P. Litchfield, Keisuke Okumura, Y. Kataoka, R.G Park, B. Zaldivar, B. S. Yang, M. Nakahata, G. De Rosa, L. Wan, Y Asaoka, Pascal Paganini, Tzu-Chiao Hung, Ryo Nishijima, L. N. Machado, T. Yano, X. Wang, V. Berardi, Caroline Quach, J. Kameda, Yuji Noguchi, Y. Uchida, Y. Satou, E. Radicioni, S. H. Lee, T. Wester, K Hiraide, D. H. Moon, A. Langella, Y. Suzuki, A. D. Santos, G. Collazuol, B. W. Pointon, N. Ospina, Yasuhiko Takemoto, M. Shiozawa, M. Ikeda, J. Hill, H. W. Sobel, P. Fernández, T Tashiro, M G Catanesi, M. Miura, C. Yanagisawa, O. Drapier, L. Labarga, J. Bian, B Quilain, H. Tanaka, M. Gonin, S Moriyama, K. Scholberg, A Beauchene, M. Smy, N.F Calabria, K. Ieki, S. Nakayama, K. Abe, J. G. Learned, Tomoaki Tomiya, Marie-Pierre Férey, Y. Jiang, A. Takeda, M. C. Jang, D Samudio, E Le Blévec
article en

Abstract

Abstract We report the search result for the Diffuse Supernova Neutrino Background (DSNB) in neutrino energies beyond 9.3 MeV in the gadolinium-loaded Super-Kamiokande (SK) detector with a 22,500 × 956.2 m 3 day exposure. Starting in the summer of 2020, SK introduced 0.01% gadolinium (Gd) by mass into its ultrapure water to enhance the neutron capture signal, termed the SK-VI phase. This was followed by a 0.03% Gd-loading in 2022, a phase referred to as SK-VII. We then conducted a DSNB search using 552.2 days of SK-VI data and 404.0 days of SK-VII data through 2023 September. This analysis includes several new features, such as two new machine learning neutron detection algorithms with Gd, an improved atmospheric background-reduction technique, and two parallel statistical approaches. No significant excess over background predictions was found in a DSNB spectrum-independent analysis, and 90% confidence level (C.L.) upper limits on the astrophysical electron antineutrino flux were set. Additionally, a spectral fitting result exhibited a ∼1.2 σ disagreement with a null DSNB hypothesis, comparable to a previous result from 5823 days of all SK pure-water phases.

The Astrophysical JournalVol. 1005(1)
California State University System (US), State University of New York (US), University of Hawaii System (US), University of Padua (IT), High Energy Accelerator Research Organization (JP), Borough of Manhattan Community College (US), Duke University (US), British Columbia Institute of Technology (CA), University of California System (US), Gwangju Institute of Science and Technology (KR), Chonnam National University Hospital (KR), Institute for Basic Science (KR), Istituto Nazionale di Fisica Nucleare, Sezione di Padova (IT), Istituto Nazionale di Fisica Nucleare, Sezione di Napoli (IT), Istituto Nazionale di Fisica Nucleare, Sezione di Bari (IT), Laboratoire Leprince-Ringuet (FR), Istituto Nazionale di Fisica Nucleare, Sezione di Roma I (IT), Gifu University (JP), Imperial College London (GB), Stony Brook University (US), Nagoya University (JP), Universidad Autónoma de Madrid (ES), Polytechnic University of Bari (IT), The University of Tokyo (JP), University of Glasgow (GB)
National Science Foundation, U.S. Department of Energy, European Commission, National Research Foundation, Ministry of Education, Culture, Sports, Science and Technology, National Natural Science Foundation of China, National Research Foundation of Korea, Institute for Basic Science, Horizon 2020 Framework Programme, Natural Sciences and Engineering Research Council of Canada, Science and Technology Facilities Council, Japan Society for the Promotion of Science, Nuclear Physics
Openalex Percentile: Top 96%
Neutrino Physics Research
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