| Autor: |
Tao Lin, Yuxiang Hu, Miao Yu, Haosen Zhang, Simon Charles Blyth, Yaoguang Wang, Haoqi Lu, Cecile Jollet, João Pedro Athayde Marcondes de André, Ziyan Deng, Guofu Cao, Fengpeng An, Pietro Chimenti, Xiao Fang, Yuhang Guo, Wenhao Huang, Xingtao Huang, Rui Li, Teng Li, Weidong Li, Xinying Li, Yankai Liu, Anselmo Meregaglia, Zhen Qian, Yuhan Ren, Akira Takenaka, Liangjian Wen, Jilei Xu, Zhengyun You, Feiyang Zhang, Yan Zhang, Yumei Zhang, Jiang Zhu, Jiaheng Zou |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
European Physical Journal C: Particles and Fields, Vol 83, Iss 5, Pp 1-15 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1434-6052 |
| DOI: |
10.1140/epjc/s10052-023-11514-x |
| Popis: |
Abstract The Jiangmen Underground Neutrino Observatory (JUNO) is a multi-purpose experiment, under construction in southeast China, that is designed to determine the neutrino mass ordering and precisely measure neutrino oscillation parameters. Monte Carlo simulation plays an important role for JUNO detector design, detector commissioning, offline data processing, and physics processing. The JUNO experiment has the world’s largest liquid scintillator detector instrumented with many thousands of PMTs. The broad energy range of interest, long lifetime, and the large scale present data processing challenges across all areas. This paper describes the JUNO simulation software, highlighting the challenges of JUNO simulation and solutions to meet these challenges, including such issues as support for time-correlated analysis, event mixing, event correlation and handling the simulation of many millions of optical photons. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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