Particle identification using artificial neural networks at BESⅢ

• 作 者: QIN Gang L(U) Jun-Guang HE Kang-Lin BIAN Jian-Ming CAO Guo-Fu DENG Zi-Yan HE Miao HUANG Bin JI Xiao-Bin LI Gang LI Hai-Bo LI Wei-Dong LIU Chun-Xiu LIU Huai-Min MA Qiu-Mei MA Xiang MAO Ya-Jun MAO Ze-Pu
• 机 构: Institute of High Energy Physics, CAS, Beijing 100049, China;Graduate University of Chinese Academy
• 出 处: 中国物理C（英文版）
• 发表日期: 2008年1期
• 关键词: artificial neural networks particle identification PID variables multilayered pe

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.