https://doi.org/10.1140/epjc/s10052-023-11514-x
Regular Article - Experimental Physics
Simulation software of the JUNO experiment
1
Institute of High Energy Physics, 100049, Beijing, China
2
University of Chinese Academy of Sciences, 100049, Beijing, China
3
Wuhan University, 430072, Wuhan, China
4
University of Bordeaux, CNRS, LP2i, Bordeaux, France
5
Institut Pluridisciplinaire Hubert Curien, Université de Strasbourg, Strasbourg, France
6
State Key Laboratory of Particle Detection and Electronics, 100049, Beijing, China
7
Sun Yat-Sen University, 510275, Guangzhou, China
8
Universidade Estadual de Londrina, Londrina, Brazil
9
Xi’an Jiaotong University, 710049, Xi’an, China
10
Shandong University, 266237, Qingdao, China
11
Shanghai Jiao Tong University, 200240, Shanghai, China
12
Chengdu Documentation and Information Center, Chinese Academy of Sciences, Chengdu, China
13
Neusoft Medical Systems Co., Ltd., Shenyang, China
14
China Telecom Corporation Limited, Beijing, China
Received:
21
December
2022
Accepted:
14
April
2023
Published online:
9
May
2023
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.
© The Author(s) 2023
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Funded by SCOAP3. SCOAP3 supports the goals of the International Year of Basic Sciences for Sustainable Development.