摘要
利用TMVA软件包所提供人工神经网络方法进行了多参量的分析,实现对γ射线和强子簇射的分辨.测试结果表明,在对强子簇射的排斥率达到75%的条件下,对γ射线簇射的挑选率可达到80%以上,最高品质因子为2.06.
Multi-variant analysis is performed with TMVA（Toolkit for Multivariate Analysis）program to separate the γ-initiated and hadron-initiated showers.The test shows that the efficiency for selecting the γ-initiated showers can reach more than 80% while rejecting more than 75% of the hadron-initiated showers.The best quality factor is 2.06.
出处
《滨州学院学报》
2010年第3期58-61,共4页
Journal of Binzhou University
关键词
甚高能
广延大气簇射
特征量
品质因子
人工神经网络
VHE（very high energy）
extended atmosphere shower
characteristic quantities
quality factor
artificial neural network
