Atmospheric neutrino oscillation analysis with improved event reconstruction in Super-Kamiokande IV

Published

Journal Article

© 2019 The Author(s). 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 increase the 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.

Full Text

Duke Authors

Cited Authors

  • Jiang, M; Abe, K; Bronner, C; Hayato, Y; Ikeda, M; Iyogi, K; Kameda, J; Kato, Y; Kishimoto, Y; Marti, L; 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, TA; 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; Hasegawa, M; Isobe, Y; Miyabe, H; Sugimoto, T; Suzuki, AT; Takeuchi, Y; Ashida, Y

Published Date

  • May 14, 2019

Published In

Volume / Issue

  • 2019 / 5

Electronic International Standard Serial Number (EISSN)

  • 2050-3911

Digital Object Identifier (DOI)

  • 10.1093/ptep/ptz015

Citation Source

  • Scopus