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

Author:

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

Publisher

Springer Science and Business Media LLC

Subject

Nuclear Energy and Engineering,Nuclear and High Energy Physics

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Phase Transition Study Meets Machine Learning;Chinese Physics Letters;2023-12-01

2. Machine learning method for 12C event classification and reconstruction in the active target time-projection chamber;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2023-10

3. Development of a high-speed digital pulse signal acquisition and processing system based on MTCA for liquid scintillator neutron detector on EAST;Nuclear Science and Techniques;2023-10

4. Discrimination of pp solar neutrinos and 14C double pile-up events in a large-scale LS detector;Nuclear Science and Techniques;2023-09

5. Machine learning in nuclear physics at low and intermediate energies;Science China Physics, Mechanics & Astronomy;2023-06-29

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