“膝”区原初宇宙线成分分辨的作用模型相关性

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

使用 4种具有不同特点的强相互作用模型 ,按照西藏羊八井ASγ联合实验的条件 ,对“膝”区能量宇宙线的大气簇射过程进行蒙特卡罗模拟 .分析了不同模型的簇射特征 ,找出与原初组成比较密切的特征量 .最后用一种BP型人工神经网络对模拟结果进行分辨 ,并检验了分辨能力与作用模型的关系 .结果表明 ,该网络能有效地挑选出不同模型产生的质子事例 。

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.