论文标题
CEPC量热计的聚类时间测量
Cluster time measurement with CEPC calorimeter
论文作者
论文摘要
我们已经开发了一种专门用于高度颗粒量热量计（HGC）的定时重建的算法。该算法的性能在HL-LHC的CMS Endcap Calorimeter升级和概念粒子流动的ECAL的ECAL的CMM端率量升高的电磁磁甲（ECAL）上进行了评估。根据CMS实验结果对单个通道的时间响应进行参数化。粒子飞行时间（TOF）可以用电磁（EM）淋浴的$ 5 \ sim20 \; \ rm {ps} $的分辨率进行测量，而$ 80 \ sim 160 \; \ \ rm {ps} $对于1 gev高于1 GEV。呈现的算法通过$ e _ {\ mathrm {hit}}^2 $加权策略提供了可比的重建，与时间频谱快速组件的简单平均相比，可以显着改善时间分辨率。在本研究中还量化了三个检测器构型的效果。 TOF分辨率线性取决于单个硅传感器的定时分辨率，并随着入射粒子能量的增加而统计上改善。 $ 6 \ sim 9 $辐射长度的时间层的定时层为EM淋浴提供了更高的时机性能。否决命中的聚类算法可改善TOF分辨率。
We have developed an algorithm dedicated to timing reconstruction in highly granular calorimeters(HGC). The performance of this algorithm is evaluated on an electromagnetic calorimeter (ECAL) with geometries comparable to the electromagnetic compartment (CE-E) of the CMS endcap calorimeter upgrade at HL-LHC and conceptual Particle Flow oriented ECAL's for future Higgs factories. The time response of individual channel is parameterized according to the CMS experimental result. The particle Time-of-Flight (ToF) can be measured with a resolution of $5\sim20 \;\rm{ps}$ for electromagnetic (EM) showers and $80\sim 160 \;\rm{ps}$ for hadronic showers above 1 GeV. The presented algorithm provides comparable reconstruction with the $E_{\mathrm{hit}}^2$ weighting strategy and can significantly improve the time resolution compared to a simple averaging of the fast component of the time spectrum. The effects of three detector configurations are also quantified in this study. ToF resolution depends linearly on the timing resolution of a single silicon sensor and improves statistically with increasing incident particle energy. The timing layers at depth of $6\sim 9$ radiation lengths provide higher timing performance for EM showers. A clustering algorithm that vetoes isolated hits improves ToF resolution.
