首页> 中文期刊> 《核电子学与探测技术》 >基于模糊C-均值聚类算法的α/β粒子辐射甄别方法

基于模糊C-均值聚类算法的α/β粒子辐射甄别方法

         

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6190 cps0420α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.

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