基于模糊C-均值聚类算法的α/β粒子辐射甄别方法  

α/β-particle Radiation Identification Based on Fuzzy C-means Clustering

作　　者：杨裔剑侠[1] 杨录[1] 李文强[1] 

机构地区：[1]中北大学电子测试技术国家重点实验室,太原030051

出　　处：《核电子学与探测技术》2013年第11期1423-1426,共4页Nuclear Electronics & Detection Technology

摘　　要：介绍了一种基于模糊C-均值聚类的脉冲形状甄别方法,对α/β粒子进行甄别。设计了一种新的α/β粒子辐射检测电路;采用单探头闪烁体探测器采集环境中的α/β粒子;实验表明,相比脉冲幅度识别法,模糊C-均值聚类算法识别将6190cps0420α源的α粒子计数率提高了42.9%,α道对β道的串道比降低了15.9%;将05-05β源的β粒子计数率提高了31.8%,β道对α道的串道比降低了7.7%。A pulse shape recognition method based on fuzzy C -means clustering for the discrimination of α/βparticle was presented .A detection circuit to isolate α/β-particles is designed .Using a single probe scintil-lating detector to acquire α/βparticles.By comparing the results to pulse amplitude analysis , it is shown that by Fuzzy C-means clustering α-particle count rate increased by 42.9%and the cross-talk ratio of α-βis decreased by 15.9%for 6190cps 0420 αsource;β-particle count rate increased by 31.8%and the cross -talk ratio of β-αis decreased by 7.7%for 05-05βsource.

关 键 词：模糊C均值聚类 α Β粒子 闪烁体探测器 脉冲形状甄别 

分 类 号：TL812[核科学技术—核技术及应用]