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Particle identification using artificial neural networks at BESIII

2008; IOP Publishing; Volume: 32; Issue: 1 Linguagem: Inglês

10.1088/1674-1137/32/1/001

2058-6132

G. Qin, Junguang Lü, He Kang-Lin, Bian Jian-Ming, G. F. Cao, Z. Y. Deng, Miao He, Bin Huang, X. B. Ji, Gang Li, Hai-Bo Li, Weidong Li, Chunxiu Liu, Huaimin Liu, Qiumei Ma, Xiang Ma, Yajun Mao, Mao Ze-Pu, Mo Xiao-Hu, Qiu Jin-Fa, S. S. Sun, Sun Yong-Zhao, Wang Ji-Ke, Wang Liang-Liang, Wen Shuo-Pin, Wu Ling-Hui, Y. G. Xie, Z. You, Y. Ming, Guowei Yu, C. Z. Yuan, Yuan Ye, Zang Shi-Lei, Changchun Zhang, Zhang Jian-Yong, Ling Zhang, Zhang Xue-Yao, Yao Zhang, Y. S. Zhu, Zou Jia-Heng,

Particle Detector Development and Performance

A multilayered perceptrons' neural network technique has been applied in the particle identification at BESIII. The networks are trained in each sub-detector level. The NN output of sub-detectors can be sent to a sequential network or be constructed as PDFs for a likelihood. Good muon-ID, electron-ID and hadron-ID are obtained from the networks by using the simulated Monte Carlo samples.