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

@article{Li2022ImprovementOM,
  title={Improvement of machine learning-based vertex reconstruction for large liquid scintillator detectors with multiple types of PMTs},
  author={Zinan Li and Zhenhai Qian and Jiejun He and W. He and Cheng-Xin Wu and Xun-Ye Cai and Zhengyun You and Yu-mei Zhang and Wu-Ming Luo},
  journal={Nuclear Science and Techniques},
  year={2022}
}
Precise vertex reconstruction is essential for large liquid scintillator detectors. A novel method based on machine learning has been successfully developed to reconstruct the event vertex in JUNO previously. In this paper, the performance of machine learning based vertex reconstruction is further improved by optimizing the input images of the neural networks. By separating the information of different types of PMTs as well as adding the information of the second hit of PMTs, the vertex… 
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