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ID 69854
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Author
Nakanishi, Fumi Department of Physics, Okayama University
Nakazato, Ken’ichiro Faculty of Arts and Science, Kyushu University
Harada, Masayuki Kamioka Observatory, Institute for Cosmic Ray Research, The University of Tokyo
Koshio, Yusuke Department of Physics, Okayama University ORCID Kaken ID publons researchmap
Akaho, Ryuichiro Faculty of Science and Engineering, Waseda University
Ashida, Yosuke Department of Physics, Tohoku University
Harada, Akira National Institute of Technology, Ibaraki College
Mori, Masamitsu Division of Science, National Astronomical Observatory of Japan
Sumiyoshi, Kohsuke National Institute of Technology, Numazu College
Suwa, Yudai Department of Earth Science and Astronomy, The University of Tokyo
Wendell, Roger A. Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU, WPI), Todai Institutes for Advanced Study, The University of Tokyo
Zaizen, Masamichi Department of Earth Science and Astronomy, The University of Tokyo
Abstract
Neutrinos from supernovae, especially those emitted during the late phase of core collapse, are essential for understanding the final stages of massive star evolution. We have been dedicated to developing methods for the analysis of neutrinos emitted during the late phase and observed at Super-Kamiokande (SK). Our previous studies have successfully demonstrated the potential of various analysis methods in extracting essential physical properties; however, the lack of background consideration has limited their practical application. In this study, we address this issue by incorporating a realistic treatment of the experimental signal and background events with the on-going SK experiment. We therefore optimize our analysis framework to reflect realistic observational conditions, including both signal and background events. Using this framework we study several long-time supernova models, simulating the late phase neutrino observation in SK and focusing in particular on the identification of the last observed event. We discuss the possibility of model discrimination methods using timing information from this last observed event.
Published Date
2025-10-03
Publication Title
The Astrophysical Journal
Volume
volume992
Issue
issue1
Publisher
American Astronomical Society
Start Page
27
ISSN
0004-637X
NCID
AA00553242
Content Type
Journal Article
language
English
OAI-PMH Set
岡山大学
Copyright Holders
© 2025. The Author(s).
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publisher
DOI
Web of Science KeyUT
Related Url
isVersionOf https://doi.org/10.3847/1538-4357/adfcca
License
https://creativecommons.org/licenses/by/4.0/
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