Monte Carlo study on the low momentum μ-π identification of the BESⅢ EM calorimeter

WANG Zhi-Gang; HE Kang-Lin; AN Zheng-Hua; CAI Xiao; DONG Ming-Yi; FANG Jian; HU Tao; LIU Wan-Jin; NING Fei-Peng; SUN Li-Jun; SUN Xi-Lei; WANG Xiao-Dong; XUE Zhen; YU Bo-Xiang; ZHANG Ai-Wu; ZHOU Li

doi:10.1088/1674-1137/33/10/011

Chinese Physics C> 2009, Vol. 33> Issue(10) : 880-886 DOI: 10.1088/1674-1137/33/10/011

Monte Carlo study on the low momentum μ-π identification of the BESⅢ EM calorimeter

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Abstract：
The BESⅢ detector has a high-resolution electromagnetic calorimeter which can be used for low momentum μ-π identification. Based on Monte Carlo simulations, μ-π separation was studied. A multilayer perceptron neural network making use of the defined variables was used to do the identification and a good μ-π separation result was obtained.

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WANG Zhi-Gang, HE Kang-Lin, AN Zheng-Hua, CAI Xiao, DONG Ming-Yi, FANG Jian, HU Tao, LIU Wan-Jin, NING Fei-Peng, SUN Li-Jun, SUN Xi-Lei, WANG Xiao-Dong, XUE Zhen, YU Bo-Xiang, ZHANG Ai-Wu, ZHOU Li, Monte Carlo study on the low momentum μ-π identification of the BESⅢ EM calorimeter[J]. Chinese Physics C, 2009, 33(10): 880-886. doi: 10.1088/1674-1137/33/10/011

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Received: 2008-12-26
Revised: 2009-02-23

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沈阳化工大学材料科学与工程学院沈阳 110142

Monte Carlo study on the low momentum μ-π identification of the BESⅢ EM calorimeter

Corresponding author: WANG Zhi-Gang,

Received Date: 2008-12-26
Accepted Date: 2009-02-23
Available Online: 2009-10-05

Abstract:

The BESⅢ detector has a high-resolution electromagnetic calorimeter which can be used for low momentum μ-π identification. Based on Monte Carlo simulations, μ-π separation was studied. A multilayer perceptron neural network making use of the defined variables was used to do the identification and a good μ-π separation result was obtained.