CHINESE JOURNAL OF COMPUTATIONAL PHYSICS ›› 2000, Vol. 17 ›› Issue (3): 280-285.

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IDENTIFICATION OF PRIMARY GAMMA RAYS AND PROTONS IN YBJ-ARGO EXPERIMENT

KONG Fan-min1, FENG Cun-feng1, ZHANG Xue-yao1, FU Yu1, ZHANG Nai-jian1, HE Mao1, WANG Cheng-rui1, TAN You-heng2   

  1. 1. High Energy Physics Group, Shandong University, 250100, P R China;
    2. Institute of High Energy Physics, The Chinese Academy of Sciences, Beijing 100079, P R China
  • Received:1998-10-12 Revised:1999-05-26 Online:2000-05-25 Published:2000-05-25

Abstract: The differences of space distributions and time profiles between the γ-ray and proton induced showers in YBJ-ARGO experiment are studied using Monte Carlo simulation data.An artificial neural algorithm is used to identify the primary γ-ray and proton induced showers.It is shown that the separation of γ-rays and protons can be achieved with a good efficiency in the energy range of 0.1~10 TeV.

Key words: Monte Carlo simulation, artificial neural networks, γ/proton separation, quality factor

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