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Jiang, M, Abe, K, Bronner, C, Hayato, Y, Ikeda, M, Iyogi, K, Kameda, J, Kato, Y, Kishimoto, Y, Marti, Ll et al (show 156 more authors) , Miura, M, Moriyama, S, Mochizuki, T, Nakahata, M, Nakajima, Y, Nakano, Y, Nakayama, S, Okada, T, Okamoto, K, Orii, A, Pronost, G, Sekiya, H, Shiozawa, M, Sonoda, Y, Takeda, A, Takenaka, A, Tanaka, H, Yano, T, Akutsu, R, Kajita, T, Nishimura, Y, Okumura, K, Wang, R, Xia, J, Labarga, L, Fernandez, P, Blaszczyk, FDM, Kachulis, C, Kearns, E, Raaf, JL, Stone, JL, Sussman, S, Berkman, S, Bian, J, Griskevich, NJ, Kropp, WR, Locke, S, Mine, S, Weatherly, P, Smy, MB, Sobel, HW, Takhistov, V, Ganezer, KS, Hill, J, Kim, JY, Lim, IT, Park, RG, Bodur, B, Scholberg, K, Walter, CW, Gonin, M, Imber, J, Mueller, Th A, Ishizuka, T, Nakamura, T, Jang, JS, Choi, K, Learned, JG, Matsuno, S, Litchfield, RP, Uchida, Y, Wascko, MO, Calabria, NF, Catanesi, MG, Intonti, RA, Radicioni, E, De Rosa, G, Ali, A, Collazuol, G, Iacob, F, Ludovici, L, Cao, S, Friend, M, Hasegawa, T, Ishida, T, Kobayashi, T, Nakadaira, T, Nakamura, K, Oyama, Y, Sakashita, K, Sekiguchi, T, Tsukamoto, T, Abe, Ke, Hasegawa, M, Isobe, Y, Miyabe, H, Sugimoto, T, Suzuki, AT, Takeuchi, Y, Ashida, Y, Hayashino, T, Hirota, S, Kikawa, T, Mori, M, Nakamura, KE, Nakaya, T, Wendell, RA, Anthony, LHV, McCauley, N 
ORCID: 0000-0002-5982-5125, Pritchard, A, Tsui, KM ORCID: 0000-0003-2893-2881, Fukuda, Y, Itow, Y, Murrase, M, Mijakowski, P, Frankiewicz, K, Jung, CK, Li, X, Palomino, JL, Santucci, G, Vilela, C, Wilking, MJ, Yanagisawa, C, Fukuda, D, Hagiwara, K, Ishino, H, Ito, S, Koshio, Y, Sakuda, M, Takahira, Y, Xu, C, Kuno, Y, Simpson, C, Wark, D, Di Lodovico, F, Richards, B, Sedgwick, S Molina, Tacik, R, Kim, SB, Thiesse, M, Thompson, L, Okazawa, H, Choi, Y, Nishijima, K, Koshiba, M, Yokoyama, M, Goldsack, A, Martens, K, Murdoch, M, Quilain, B, Suzuki, Y, Vagins, MR, Kuze, M, Okajima, Y, Yoshida, T, Ishitsuka, M, Martin, JF, Nantais, CM, Tanaka, HA, Towstego, T, Hartz, M, Konaka, A, de Perio, P, Chen, S, Wan, L and Minamino, A
(2019)
Atmospheric neutrino oscillation analysis with improved event reconstruction in Super-Kamiokande IV.
PROGRESS OF THEORETICAL AND EXPERIMENTAL PHYSICS, 2019 (5).
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Abstract
A new event reconstruction algorithm based on a maximum likelihood method has
been developed for Super-Kamiokande. Its improved kinematic and particle
identification capabilities enable the analysis of atmospheric neutrino data in
a detector volume 32% larger than previous analyses and increases sensitivity
to the neutrino mass hierarchy. Analysis of a 253.9 kton-year exposure of the
Super-Kamiokande IV atmospheric neutrino data has yielded a weak preference for
the normal hierarchy, disfavoring the inverted hierarchy at 74% assuming
oscillations at the best fit of the analysis.
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