ePIC实验中EIC的dRICH粒子识别模拟研究
Simulation Study for Particle Identification with the dRICH of the ePIC Experiment at the EIC
AI总结:
ePIC实验中利用Geant4模拟评估dRICH性能,优化气凝胶辐射器并研究传感器噪声影响,验证设计并量化纯度水平。
摘要:
双辐射成像切连科夫探测器(dRICH)是ePIC实验在电子离子对撞机(EIC)中前向粒子识别系统的关键组成部分。本研究利用Geant4模拟评估dRICH的性能,结合全局ePIC模拟堆栈,重点优化气凝胶辐射器并研究传感器噪声的影响。我们比较了两种气凝胶配置:初始设计(n=1.019)和当前默认配置(n=1.026)。后者具有改进的光学性能和更高的折射率,在高动量下表现出增强的π-K分离能力,有效延长了与C₂F₆气体辐射器的运行重叠区域。此外,本研究还探讨了硅光电倍增管(SiPM)暗噪声的影响,显示300 kHz每通道噪声率会导致3σ分离阈值降低约1.5 GeV/c。这些结果验证了当前dRICH设计,并量化了在预期实验条件下两种辐射器的纯度水平。
英文摘要:
The dual-radiator Imaging Cherenkov detector (dRICH) is a key component of the forward particle identification system for the ePIC experiment at the Electron-Ion Collider (EIC). This study evaluates the dRICH performance using Geant4 simulations in the context of the global ePIC simulation stack, focusing on the optimization of the aerogel radiator and the impact of sensor noise. We compare two aerogel configurations: the initial design (n=1.019) and the current default (n=1.026). The latter, characterized by improved optical properties and a higher refractive index, demonstrates enhanced $π-K$ separation at high momenta, effectively extending the operational overlap with the $\mathrm{C_2F_6}$ gas radiator. Additionally, the study investigates the impact of Silicon Photomultiplier (SiPM) dark noise, showing that a 300 kHz noise rate per channel leads to a moderate reduction (approximately 1.5 GeV/c) in the $3σ$ separation threshold. These results validate the current dRICH design and quantify the purity levels achievable for both radiators under expected experimental conditions.
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