Simulation Software of the JUNO Experiment
Tao Lin, Yuxiang Hu, Miao Yu, Haosen Zhang, Simon Charles, Blyth, Yaoguang Wang, Haoqi Lu, Cecile Jollet, Jo\~ao Pedro, Athayde Marcondes de Andr\'e, Ziyan Deng, Guofu Cao, Fengpeng An and, Pietro Chimenti, Xiao Fang, Yuhang Guo, Wenhao Huang, Xingtao, Huang, Rui Li, Teng Li

TL;DR
This paper details the development of simulation software for the JUNO experiment, addressing challenges in modeling a large-scale liquid scintillator detector for neutrino research.
Contribution
It introduces the JUNO simulation software, highlighting solutions for large-scale optical photon simulation, event correlation, and data processing challenges.
Findings
Supports simulation of millions of optical photons
Enables time-correlated and event-mixed analysis
Addresses large-scale data processing challenges
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…
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