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

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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
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 shu
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Received: 2008-12-26
Revised: 2009-02-23
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Monte Carlo study on the low momentum μ-π identification of the BESⅢ EM calorimeter

    Corresponding author: WANG Zhi-Gang,

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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