摘要
利用TMVA(Toolkit for Multivariate Analysis)软件包提供的人工神经网络方法(ANN)进行了多参量的分析,实现对γ和强子簇射的分辨。测试结果表明,利用上述方法,在对信号的挑选率达到70%的条件下,对强子的排斥率达到了86%。
ANN(artificial neuron network) is performed with TMVA(Toolkit for Multivariate Analysis)program to separate the γ-initiated and hadron-initiated showers.From the test,we found that the efficiency for selecting the γ-initiated showers can reach70%while rejecting more than 86%of the hadron-initiated showers.
出处
《廊坊师范学院学报(自然科学版)》
2010年第3期32-34,39,共4页
Journal of Langfang Normal University(Natural Science Edition)
关键词
甚高能
广延大气簇射
特征量
击中数
人工神经网络
VHE(very high energy)
extended atmosphere shower
characteristic quantities
hit
ANN(artificial neuron network)