中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Monte Carlo study on the low momentum mu-pi identification of the BESIII EM calorimeter

文献类型:期刊论文

作者Wang ZG(王志刚); Lv JG(吕军光); He KL(何康林); An ZH(安正华); Cai X(蔡啸); Dong MY(董明义); Fang J(方建); Hu T(胡涛); Liu WJ(刘万金); Ning FP(宁飞鹏)
刊名CHINESE PHYSICS C
出版日期2009
卷号33期号:10页码:880-886
关键词BESIII calorimeter particle identification artificial neural network
通讯作者[Wang Zhi-Gang ; Lue Jun-Guang ; 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] CAS, Inst High Energy Phys, Beijing 100049, Peoples R China ; [Wang Zhi-Gang ; An Zheng-Hua ; Lue Qi-Wen ; Sun Xi-Lei ; Zhang Ai-Wu] Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China ; [Lue Qi-Wen ; Ning Fei-Peng ; Wang Xiao-Dong] Shanxi Univ, Taiyuan 030006, Peoples R China ; [Xue Zhen] Univ Sci & Technol China, Hefei 230026, Peoples R China
英文摘要The BESIII detector has a high-resolution electromagnetic calorimeter which can be used for low momentum mu-pi identification. Based on Monte Carlo simulations, mu-pi separation was studied. A multilayer perceptron neural network making use of the defined variables was used to do the identification and a good mu-pi separation result was obtained.
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:000270401800011
源URL[http://ir.ihep.ac.cn/handle/311005/238672]  
专题高能物理研究所_实验物理中心
高能物理研究所_粒子天体物理中心
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
Wang ZG,Lv JG,He KL,et al. Monte Carlo study on the low momentum mu-pi identification of the BESIII EM calorimeter[J]. CHINESE PHYSICS C,2009,33(10):880-886.
APA 王志刚.,吕军光.,何康林.,安正华.,蔡啸.,...&Zhou, L.(2009).Monte Carlo study on the low momentum mu-pi identification of the BESIII EM calorimeter.CHINESE PHYSICS C,33(10),880-886.
MLA 王志刚,et al."Monte Carlo study on the low momentum mu-pi identification of the BESIII EM calorimeter".CHINESE PHYSICS C 33.10(2009):880-886.

入库方式: OAI收割

来源:高能物理研究所

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