Relation between Interactive Models and Identification of Primary Cosmic Ray Components at the “Knee”

FENG CunFeng; ZHANG XueYao; KONG FanMin; HE Mao; FU Yu; DAI ZhiQiang; ZHANG NaiJian

Chinese Physics C> 2000, Vol. 24> Issue(6) : 467-472

Relation between Interactive Models and Identification of Primary Cosmic Ray Components at the “Knee”

High Energy Physics Group,Shandong University,Ji'nan 250100,China

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Abstract：
Monte Carlo simulations of extensive air shower at the “knee” region are carried out by use of four kinds interactive models according to the condition of Tibet Yangbajing ASγ hybrid experiment.The characters of shower for different interactive models are analysed,and the parameters closely related with primary particle mass are given. The BP artificial neural network(ANN)is used to select the proton events from the simulation results,and the relation between the abilith of primary particle identification and interactive models is studied. The results show that the primary proton events can be effectively identified by ANN methed from simulation data of different interactive models with similar identification capabilities.

References

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FENG CunFeng, ZHANG XueYao, KONG FanMin, HE Mao, FU Yu, DAI ZhiQiang and ZHANG NaiJian. Relation between Interactive Models and Identification of Primary Cosmic Ray Components at the “Knee”[J]. Chinese Physics C, 2000, 24(6): 467-472.

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Received: 1999-04-28
Revised: 1900-01-01

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通讯作者: 陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

Relation between Interactive Models and Identification of Primary Cosmic Ray Components at the “Knee”

Corresponding author: FENG CunFeng,

High Energy Physics Group,Shandong University,Ji'nan 250100,China

Received Date: 1999-04-28

Accepted Date: 1900-01-01

Available Online: 2000-06-05

Abstract: Monte Carlo simulations of extensive air shower at the “knee” region are carried out by use of four kinds interactive models according to the condition of Tibet Yangbajing ASγ hybrid experiment.The characters of shower for different interactive models are analysed,and the parameters closely related with primary particle mass are given. The BP artificial neural network(ANN)is used to select the proton events from the simulation results,and the relation between the abilith of primary particle identification and interactive models is studied. The results show that the primary proton events can be effectively identified by ANN methed from simulation data of different interactive models with similar identification capabilities.

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Relation between Interactive Models and Identification of Primary Cosmic Ray Components at the “Knee”

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