Identification of e,μ,π by Neural Network in BES

Get Citation
Zhang Ziping, Chen Hongfang, Ye Shuwei and Zhao Jiawei. Identification of e,μ,π by Neural Network in BES[J]. Chinese Physics C, 1997, 21(4): 297-303.
Zhang Ziping, Chen Hongfang, Ye Shuwei and Zhao Jiawei. Identification of e,μ,π by Neural Network in BES[J]. Chinese Physics C, 1997, 21(4): 297-303. shu
Milestone
Received: 1900-01-01
Revised: 1900-01-01
Article Metric

Article Views(2721)
PDF Downloads(540)
Cited by(0)
Policy on re-use
To reuse of subscription content published by CPC, the users need to request permission from CPC, unless the content was published under an Open Access license which automatically permits that type of reuse.
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Email This Article

Title:
Email:

Identification of e,μ,π by Neural Network in BES

    Corresponding author: Zhang Ziping,
  • Department of Modem Physics,University of Science and Technology of China,Hefei 230026

Abstract: Two diferent kinds of neural network methods,BP and LVQ,are applied to the identification of e,μ,πparticles in BES experiment,and better results are obtained.The μ data samples used for training and tests are from cosmic events,e and π are strictly selected from real experimental data by very tight cuts.Although their momentum spectrums are non-uniform,interseting enough is that selection efficiencies given by BP test results are quite uniform in the whole momentum range.The results from LVQ is litle worse.It shows that BP is more powerful in pattern recognition than LVQ at least in this study.

    HTML

Reference (1)

目录

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return