摘要
为了高性能分辨探测中子与γ射线,搭建了一套基于Cs2LiYCl6:Ce3+(CLYC)探测器和数字示波器的数字化核脉冲采集系统。通过Matlab编程,研究了系统聚类法和K-means聚类法两种n/γ脉冲波形甄别方法,并与传统的电荷比较法进行了对比。结果表明,两种聚类法均可准确分辨脉冲类别,K-means聚类法在计算时间和内存占用方面更具优势,有利于实时脉冲处理。该研究为研制基于CLYC探测器的n/γ双模式探测谱仪提供了一种有用的脉冲波形甄别技术解决方案。
In order to discriminate neutron andγray with high performance,a digital nuclear pulse sampling system based on a Cs2 LiYCl6：Ce3＋（CLYC）detector and a digital oscilloscope was set up.By Matlab programming,two pulse shape discrimination methods,including hierarchical clustering method and K-means clustering method were studied,and were compared with the traditional charge comparison method.The results show that both of these two methods can discriminate neutron andγpulses accurately.The K-means clustering method is better for less computing time and memory consumption,and makes profit for real-time pulse discriminating.This research provides a useful pulse shape discrimination solution to develop the n/γdual-mode spectrometer with CLYC detector.
作者
黄广伟
周春芝
许智宁
肖无云
张羽中
樊海军
HUANG Guangwei;ZHOU Chunzhi;XU Zhining;XIAO Wuyun;ZHANG Yuzhong;FAN Haijun(Research Institute of Chemical Defense,Beijing 102205,China;Hunan University,Changsha 410082,China)
出处
《原子能科学技术》
EI
CAS
CSCD
北大核心
2018年第8期1481-1486,共6页
Atomic Energy Science and Technology
