Improvement of machine learning-based vertex reconstruction for large liquid scintillator detectors with multiple types of PMTs

作     者：Zi-Yuan Li Zhen Qian Jie-Han He Wei He Cheng-Xin Wu Xun-Ye Cai Zheng-Yun You Yu-Mei Zhang Wu-Ming Luo Zi-Yuan Li;Zhen Qian;Jie-Han He;Wei He;Cheng-Xin Wu;Xun-Ye Cai;Zheng-Yun You;Yu-Mei Zhang;Wu-Ming Luo

作者机构：School of PhysicsSun Yat-Sen UniversityGuangzhou510275China Sino-French Institute of Nuclear Engineering and TechnologySun Yat-Sen UniversityZhuhai519082China Institute of High Energy PhysicsChinese Academy of SciencesBeijing100049China 

出 版 物：《Nuclear Science and Techniques》 (核技术（英文）)

年 卷 期：2022年第33卷第7期

页      面：93-102页

核心收录：

学科分类：082704[工学-辐射防护及环境保护] 08[工学] 081104[工学-模式识别与智能系统] 0804[工学-仪器科学与技术] 0827[工学-核科学与技术] 0803[工学-光学工程] 0811[工学-控制科学与工程] 0702[理学-物理学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China(Nos.11975021,12175257,12175321,11675275,and U1932101) the Guangdong Basic and Applied Basic Research Foundation(No.2021A1515012039) the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDA10010900) the National College Students Science and Technology Innovation Project the Undergraduate Base Scientific Research Project of Sun Yat-sen University the CAS Center for Excellence in Particle Physics(CCEPP). 

主　　题：JUNO Liquid scintillator detector Neutrino experiment Vertex reconstruction Machine learning 

摘      要：The precise vertex reconstruction for large liquid scintillator detectors is essential.A novel machine learning-based method was successfully developed to reconstruct an event vertex in JUNO.In this study,the performance of machine learning-based vertex reconstruction was further improved by optimizing the input images of neural networks.By separating the information of different types of PMTs and adding the information of the second hit of PMTs,the vertex resolution was improved by approximately 9.4% at 1 MeV and 9.8% at 11 MeV.