辐射防护2025，Vol.45Issue(4)：327-336,10.
基于PCA-FCN混合模型的NaI(Tl)伽马能谱核素识别技术研究
Research on NaI(Tl)gamma spectrum radionuclide identification technology based on hybrid PCA-FCN model
刘鑫 1王佳 2令狐仁静 2刘立业 2赵日 1谭俊 2王茂林 2黄健 2张静 1梁润成 1刘兆行 1石忠焱1
作者信息
- 1. 中国辐射防护研究院,太原 030006||核药研发转化与精准防护山西省重点实验室,太原 030006
- 2. 中国辐射防护研究院,太原 030006
- 折叠
摘要
Abstract
The poor energy resolution of NaI(Tl)detector makes it difficult to accurately identify radionuclides based on the acquired gamma spectrum.In order to improve the identification accuracy,this paper proposed a hybrid PCA-FCN identification model based on the advantages and disadvantages of existing research methods and models.Based on the randomization strategy,a robust gamma energy spectrum datasets was constructed through empirical measurements and Monte Carlo simulations.The datasets was utilized to train the model and conduct validation experiments.Results indicate that the PCA-FCN model achieved radionuclide identification performance factors of 0.982 3 for average precision(AP)and 0.980 1 for the F1 score,markedly surpassing the performance of PCA models,FCN models,and traditional full-energy peak analysis methods.The identification accuracy can still be maintained under varying spectral complexities and statistical fluctuations.This conclusion shows the potential of the PCA-FCN model and the random sample generation strategy for future applications in quantitative measurement of radioactivity.关键词
NaI(Tl)探测器/核素识别/伽马能谱/主成分分析/全连接网络Key words
NaI(Tl)detector/radionuclide identification/gamma spectrum/principal component analysis/fully connected network分类
数理科学引用本文复制引用
刘鑫,王佳,令狐仁静,刘立业,赵日,谭俊,王茂林,黄健,张静,梁润成,刘兆行,石忠焱..基于PCA-FCN混合模型的NaI(Tl)伽马能谱核素识别技术研究[J].辐射防护,2025,45(4):327-336,10.
