CLYC探测器n/γ聚类甄别方法研究

黄广伟; 周春芝; 许智宁; 肖无云; 张羽中; 樊海军

doi:10.7538/yzk.2017.youxian.0708

CLYC探测器n/γ聚类甄别方法研究

1.
军事科学院防化研究院,北京102205
2.
湖南大学,湖南长沙410082

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- 刊出日期: 2018-08-19

Study on n/γ Discrimination Method Based on Clustering Analysis for CLYC Detector

1.
Research Institute of Chemical Defense, Beijing 102205, China
2.
Hunan University, Changsha 410082, China

摘要

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。
- CLYC探测器 ,
- 脉冲波形甄别 ,
- 系统聚类法 ,
- K-means聚类法
Abstract: In order to discriminate neutron and γ ray with high performance, a digital nuclear pulse sampling system based on a Cs₂LiYCl₆: 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 and γ pulses 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/γ dual-mode spectrometer with CLYC detector.
- CLYC detector ,
- pulse shape discrimination ,
- hierarchical clustering method ,
- K-means clustering method

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参考文献(15)

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CLYC探测器n/γ聚类甄别方法研究

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出版历程

Study on n/γ Discrimination Method Based on Clustering Analysis for CLYC Detector

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出版历程

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