Estimation of the proton energy spectrum in knee region by analog read-out of ARGO-YBJ experiment  

作　　者：曲晓波 陈松战 查敏 张学尧 冯存峰 

机构地区：[1]School of Physics,Shandong University [2]Institute of High Energy Physics,CAS

出　　处：《Chinese Physics C》2008年第10期807-811,共5页中国物理C（英文版）

基　　金：National Natural Science Foundation of China (10120130794)

摘　　要：Based on the six months data set of ARGO-YBJ experiment with analog read-out and its Monte Carlo simulation, we study the difference between different primaries induced showers by using the space-time information of the charged particles in Extensive Air Showers. With five parameters which can efficiently pick out primary proton induced showers as inputs of an artificial neural network, the proton Spectrum from 100 TeV to 10 PeV can be obtained.Based on the six months data set of ARGO-YBJ experiment with analog read-out and its Monte Carlo simulation, we study the difference between different primaries induced showers by using the space-time information of the charged particles in Extensive Air Showers. With five parameters which can efficiently pick out primary proton induced showers as inputs of an artificial neural network, the proton Spectrum from 100 TeV to 10 PeV can be obtained.

关 键 词：analog read-out ＂knee＂ region proton energy spectrum 

分 类 号：O572.341[理学—粒子物理与原子核物理]