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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.
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