Research on identification of mu, pi with BES III mu identifier
文献类型:期刊论文
作者 | You, ZY; Mao, YJ![]() ![]() ![]() |
刊名 | HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION
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出版日期 | 2004 |
卷号 | 28期号:9页码:977-981 |
关键词 | BES III PYTHIA Geant3 particle identification neural network |
通讯作者 | Peking Univ, Dept Tech Phys, Sch Phys, Beijing 100871, Peoples R China ; CAS, Inst High Energy Phys, Beijing 100039, Peoples R China |
英文摘要 | The final states created by e(+)e(-) annihilation at tau-charm energy region are simulated with PYTHIA5.7, and the resultant inclusive muon production cross sections and momentum distributions are obtained. The muon identifier of BES M detector is fully simulated with Geant3.21. For the simulated events containing muons and pions with momentum greater than 0.5GeV/c, the BP neural network and Fisher discriminant method are used for muon/pion identification. BP neural network performs better than Fisher discriminant method. With the same muon efficiency of 96%, the misidentification of pion by BP neural network is 9.4%, in comparison with that of 17.1% by Fisher method. |
学科主题 | Physics |
类目[WOS] | Physics, Nuclear ; Physics, Particles & Fields |
研究领域[WOS] | Physics |
原文出处 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000223834000014 |
源URL | [http://ir.ihep.ac.cn/handle/311005/238828] ![]() |
专题 | 高能物理研究所_实验物理中心 |
作者单位 | 中国科学院高能物理研究所 |
推荐引用方式 GB/T 7714 | You, ZY,Mao, YJ,Zhang JW,et al. Research on identification of mu, pi with BES III mu identifier[J]. HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION,2004,28(9):977-981. |
APA | You, ZY,Mao, YJ,张家文,&Zhang, JW.(2004).Research on identification of mu, pi with BES III mu identifier.HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION,28(9),977-981. |
MLA | You, ZY,et al."Research on identification of mu, pi with BES III mu identifier".HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION 28.9(2004):977-981. |
入库方式: OAI收割
来源:高能物理研究所
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