基于模糊识别的γ能谱定性分析

Qualitative Analysis of y Spectra Based on Fuzzy Recognition

提出了一种基于模糊识别的γ能谱分析方法。通过建立关于未知谱的模糊集合、标准核素库及模糊识别算法,实现了γ能谱的快速自动定性分析,并对3组混合标准源γ能谱和3个低本底样品γ能谱进行了定性分析。结果表明在不精确求解峰位的情况下,即可准确分析出样品中所含的放射性核素。

A qualitative analysis method based on fuzzy recognition of y energy spectra was brought forward. By establishing the fuzzy set of the y energy spectrum, the standard isotope library and the algorithm of fuzzy recognition, a quick automatic qualitative analysis was achieved, and the spectra of three mixed standard radiation sources and three samples of low background were analyzed. The results show that the radiation isotopes in the samples can all be recognized accurately under the condition that the peak positions in the spectra are not calculated precisely.