双量能器在江门中微子实验波形重建中的应用

中微子是组成物质世界的基本粒子之一。研究中微子的性质，特别是中微子振荡，对理解物质世界构成及规律有深刻意义。中微子质量顺序是粒子物理尚未解决的重要课题。由我国主持的江门中微子实验，作为最重要的新一代中微子实验之一，旨在通过研究反应堆中微子能谱，测量中微子质量顺序和振荡参数。.江门实验核心探测器对能量测量精度有着前所未有的高要求，即3%的能量分辨率和低于1%的能标误差。能量直接对应探测器读出信号的电荷。江门实验主要依靠重建读出信号的波形来测量电荷。因此波形重建对于江门实验至关重要，但缺少真实电荷数据参考是波形重建算法中的困难和挑战。双量能器是江门实验的独特设计，在依靠波形重建的量能器之外，创新地引入了以数单光电子数方式可靠地测量电荷的量能器。本项目创新地借助双量能器设计，构造基于真实数据的线性可靠电荷基准为波形重建提供依据，改进波形重建算法，提高重建精度，实现中微子能量的精确测量。

Neutrinos are ones of the fundamental particles. The study of neutrino properties, specially neutrino oscillations, is of great importance for the understanding of the composition and rules of the universe. The mass ordering of neutrinos is one of the most important open question in neutrino physics. The Jiangmen Underground Neutrino Observatory (JUNO), hosted by China, is one of the most important new generation neutrino experiments. JUNO aims primarily to determine the neutrino mass ordering and measure precisely neutrino oscillation parameters through a high precision measurement of reactor neutrino energy spectrum..The JUNO central detector is based on liquid scintillator technology. JUNO has the unprecedented requirement on precision and accuracy of the energy measurement, i.e. 3% energy resolution and less than 1% energy scale uncertainty. The energy corresponds directly to the readout charge. The charge measurement is realized mainly through the reconstruction of the readout signal waveform in JUNO. Hence, the waveform reconstruction is crucial for JUNO. However, due to the difficulty of having a data based charge reference for the reconstruction algorithm tuning or training, the waveform reconstruction task is challenging. The Dual Calorimetry is a unique design for JUNO exactly addressing this challenge. Besides the waveform reconstruction based calorimetry, JUNO has introduced a single photoelectron counting based calorimetry, constituting the Dual Calorimetry design. Based on the this design, this project aims to exploit a robust, data based and linear charge reference for the waveform reconstruction algorithm tuning or training. This project aims to improve the waveform reconstruction accuracy and precision. It is expected to help achieving the precise measurement of neutrino energy, hence the physics goals of JUNO.