论文标题
大型液体闪烁体检测器的数据驱动的同时顶点和能量重建
Data-driven simultaneous vertex and energy reconstruction for large liquid scintillator detectors
论文作者
论文摘要
高精度顶点和能量重建对于大型液体闪烁体检测器（例如Juno）至关重要，尤其是通过分析反应器中微子的能谱来确定中微子质量有序。本文提出了一种数据驱动的方法，以获得Juno中正电子事件的更现实，更准确的预期PMT响应，并开发了一种同时的顶点和能量重建方法，将PMT的电荷和时间信息结合在一起。对于Juno检测器，顶点不准确对能量分辨率的影响约为0.6 \％。
High precision vertex and energy reconstruction is crucial for large liquid scintillator detectors such as JUNO, especially for the determination of the neutrino mass ordering by analyzing the energy spectrum of reactor neutrinos. This paper presents a data-driven method to obtain more realistic and more accurate expected PMT response of positron events in JUNO, and develops a simultaneous vertex and energy reconstruction method that combines the charge and time information of PMTs. For the JUNO detector, the impact of vertex inaccuracy on the energy resolution is about 0.6\%.
