基于模糊c均值聚类的液体闪烁体探测器n-γ射线甄别方法

Discrimination of Neutrons and γ-rays in Liquid Scintillators Based on Fuzzy c-Means Clustering

提出一种基于模糊c均值聚类的液体闪烁体探测器n-γ射线甄别方法。使用便携式实时n-γ射线甄别器在环境中采集中子和γ射线,分别运用模糊c均值聚类和脉冲梯度法进行n-γ射线甄别,并将二者的结果进行比较。实验结果表明,基于模糊c均值聚类的n-γ射线甄别方法取得了与脉冲梯度法相近的结果,同时降低了不确定度,提高了甄别性能。

A novel method based on fuzzy c-means（FCM） clustering for the discrimination of neutrons and γ-rays in liquid scintillators was presented.The neutrons and γ-rays in the environment were firstly acquired by the portable real-time n-γ discriminator and then discriminated using fuzzy c-means clustering and pulse gradient analysis,respectively.By comparing the results with each other,it is shown that the discrimination results of the fuzzy c-means clustering are consistent with those of the pulse gradient analysis.The decrease in uncertainty and the improvement in discrimination performance of the fuzzy c-means clustering were also observed.