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

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Authors: Kiharu Abe, S. Abe, Y Asaoka, M. Harada, Y. Hayato, K Hiraide, K Hosokawa, Tzu-Chiao Hung, K. Ieki, Miyo Ikeda, J. Kameda, Y. Kanemura
+88 more Y. Kataoka, Satoshi Miki, S. Mine, M. Miura, S Moriyama, Masayuki Nakahata, S. Nakayama, Yuji Noguchi, G. Pronost, Y. Satou, H. Sekiya, R Shinoda, Masato Shiozawa, Y. Suzuki, A. Takeda, Yasuhiko Takemoto, H. Tanaka, T. Yano, Y. Itow, T. Kajita, Ryo Nishijima, Keisuke Okumura, T Tashiro, Tomoaki Tomiya, X. Wang, Pablo Fernández, L. Labarga, D Samudio, B. Zaldivar, C. Yanagisawa, E. Kearns, J. Mirabito, L. Wan, Thomas E. Wester, B. W. Pointon, J. Bian, B. Cortez, N.J Griskevich, Y. Jiang, M. B. SMY, H. W. Sobel, V. Takhistov, A. Yankelevich, J. Hill, M. C. Jang, Sook Hyun Lee, D. H. Moon, R.G Park, B. S. Yang, B. Bodur, K. Scholberg, C. W. Walter, A Beauchene, E Le Blévec, O. Drapier, A. Ershova, M. Ferey, Th. A. Mueller, Alex da Silva Santos, Pascal Paganini, Caroline Quach, R. Rogly, Takuji Nakamura, J.S Jang, R. P. Litchfield, L. N. Machado, F. J. P. Soler, J. G. Learned, K. Choi, S. Cao, L. H. V. Anthony, N. W. Prouse, M. Scott, Y. Uchida, V. Berardi, N.F Calabria, M G Catanesi, N. Ospina, E. Radicioni, A. Langella, G. De Rosa, G. Collazuol, M. Feltre, M. Mattiazzi, L. Ludovici, M. Gonin, Lorenzo Périssé, B. Quilain
Cited by: 1
References: 115

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.

Fields of Study & Subjects

Neutrino Physics Research Dark Matter and Cosmic Phenomena Astrophysics and Cosmic Phenomena

Publication details

Journal / source
The Astrophysical Journal
Publisher
American Astronomical Society
Volume
1005
Issue
1
Pages
101–101
Publication date
29 June 2026
Language
EN