Enregistré dans:
| Auteurs principaux: | , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2505.19721 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866912538761887744 |
|---|---|
| author | Nakanishi, Fumi Nakazato, Ken'ichiro Harada, Masayuki Koshio, Yusuke Akaho, Ryuichiro Ashida, Yosuke Harada, Akira Mori, Masamitsu Sumiyoshi, Kohsuke Suwa, Yudai Wendell, Roger A. Zaizen, Masamichi |
| author_facet | Nakanishi, Fumi Nakazato, Ken'ichiro Harada, Masayuki Koshio, Yusuke Akaho, Ryuichiro Ashida, Yosuke Harada, Akira Mori, Masamitsu Sumiyoshi, Kohsuke Suwa, Yudai Wendell, Roger A. Zaizen, Masamichi |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_19721 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Observing Supernova Neutrino Light Curves with Super-Kamiokande.VI. A Practical Data Analysis Technique Considering Realistic Experimental Backgrounds Nakanishi, Fumi Nakazato, Ken'ichiro Harada, Masayuki Koshio, Yusuke Akaho, Ryuichiro Ashida, Yosuke Harada, Akira Mori, Masamitsu Sumiyoshi, Kohsuke Suwa, Yudai Wendell, Roger A. Zaizen, Masamichi High Energy Astrophysical Phenomena High Energy Physics - Experiment 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. |
| title | Observing Supernova Neutrino Light Curves with Super-Kamiokande.VI. A Practical Data Analysis Technique Considering Realistic Experimental Backgrounds |
| topic | High Energy Astrophysical Phenomena High Energy Physics - Experiment |
| url | https://arxiv.org/abs/2505.19721 |