Open AccessArticle
Performance Study of a New Cluster Splitting Algorithm for the Reconstruction of PANDA EMC Data
by
Ziyu Zhang, Guang Zhao, Shengsen Sun, Qing Pu, Chunxiu Liu, Chunxu Yu, Dong Liu, Hang Qi, Guangshun Huang, Tobias Stockmanns, Beijiang Liu, Fei Wang, Yitong Zhang and Xiaoyan Shen
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Abstract
For high-energy
mesons, the angle between the two final-state photons decreases with the increase in the energy of the
, which enhances the probability of overlapping electromagnetic showers. The performance of the cluster splitting algorithm in the EMC reconstruction
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For high-energy
mesons, the angle between the two final-state photons decreases with the increase in the energy of the
, which enhances the probability of overlapping electromagnetic showers. The performance of the cluster splitting algorithm in the EMC reconstruction is crucial for the mass resolution measurement of
with high energy. The cluster splitting algorithm is based on the theoretical lateral distribution of the electromagnetic showers. A simple implementation of the lateral distribution can be described as a (multi-)exponential function. In a realistic electromagnetic calorimeter, considering the granularity of the detector, the measured energy in a cell is actually the integral of the theoretical energy deposition, which deviates from the exponential function. Based on the simulation of the barrel EMC in the
ANDA experiment, a cluster splitting algorithm with a new lateral energy development function is developed. The energy resolution of overlapping showers with high energy has been improved.
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