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Performance Study of a New Cluster Splitting Algorithm for the Reconstruction of PANDA EMC Data

Authors :
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
Xiaoyan Shen
Source :
Instruments, Vol 6, Iss 3, p 34 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

For high-energy π0 mesons, the angle between the two final-state photons decreases with the increase in the energy of the π0, 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 π0 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 P¯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.

Details

Language :
English
ISSN :
2410390X
Volume :
6
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Instruments
Publication Type :
Academic Journal
Accession number :
edsdoj.21553a649aad400783343a88300f788b
Document Type :
article
Full Text :
https://doi.org/10.3390/instruments6030034