摘要
根据在涂硼CsI(Tl)探测器中产生的γ射线、中子脉冲信号的特征,利用电荷比较法、上升时间法、频率梯度法、向量投影法、聚类分析法、神经网络法完成了n/γ射线甄别.结果表明了这些方法均可以实现对涂硼CsI(Tl)探测器的中子甄别,这为今后搭建涂硼CsI(Tl)探测器的中子实时甄别系统打下基础.
According to the characteristics of gamma-ray and neutron pulse signals produced in boron-coated CsI(Tl)detectors,the n/gamma ray discrimination is completed by the charge comparison m ethod,rise tim e,frequency gradient m ethod,vector projection m ethod,clustering analysis method and neural network method.The results show that these methods can be achieved on the boron coated Csl(Tl)neutron detector discrimination.This will lay a foundation for building a real-time neutron discriminating system for detectors in the future.
作者
郝雅雯
沈春霞
南宏杰
HAO Ya-w en;SHEN Chun-xia;NAN Hong-jie(College of Chemical Defense,Beijing 102205,China)
出处
《核电子学与探测技术》
CAS
北大核心
2020年第1期77-82,共6页
Nuclear Electronics & Detection Technology
