OLAM网络对环境样品γ能谱核素活度的计算

Activity Analysis to Environmental Sample γ-spectrum With OLAM Net

基于OLAM网络学习机制及解谱原理,构造了能分析γ能谱中核素活度的网络。为获取单质核素能谱用于网络训练,采用解谱软件所提供的刻度方程模拟核素的特征能谱,并用其训练网络。用训练好的网络计算环境土壤样品中238U2、26Ra2、32Th4、0K1、37Cs等核素的活度,并将计算结果与SPAS-G解谱软件计算结果相比较。结果显示,两者的平均相对偏差绝对值为2.24%,表明网络的构造及特征能谱的模拟是成功的。

Based on the learning mechanism of OLAM net-work and the theory of γ-spectrum analysis,an artificial neural net-work to carry out the activity analysis of nuclides was constructed.For getting γ-spectrum of the nuclide of a simple substance to train the net,the characteristic spectra of the nuclide were simulated with the scale equations given in the spectrum analysis software.The well-trained net was used to calculate the activities of nuclides 238U,226Ra,232Th,40K and 137Cs in the samples of environmental soil.By comparing the results with the SPAS-G calculation,the average relative deviation is 2.24%,and this indicates that both the net construction and the characteristic spectrum simulation are successful.