摘要
针对Gold算法在重构低能量分辨率γ能谱时面临的迭代次数多、弱峰计数率低等挑战,本文提出了一种基于Gold重构算法的迭代算法框架,并扩展出3种新型迭代算法。通过实验对新型迭代算法在γ能谱上的重构能力进行了分析研究。本文基于自研NaI(Tl)探测器通过蒙特卡罗仿真和实际测量,获得了低能量分辨率γ能谱。采用提出的3种新型算法,结合非负响应矩阵对γ能谱进行重构分析,并将结果与传统Gold算法进行对比。实验结果表明,Mi-Gold(比例因子m=1.9)算法在收敛速率和重构精度上均显著优于Gold算法,重构后的能谱特征峰更尖锐明确,峰位相对误差小于1%,有效提升了低能量段特征峰的重构效果。
To address the challenges faced by the Gold algorithm in reconstructing the low-energy resolutionγspectrum,such as the high number of iterations and the low counting rate for weak peaks,an iterative algorithm framework based on the Gold reconstruction algorithm was presented and it was extended to three novel iterative algorithms.The self-developed NaI(Tl)detector was selected as the experimental object.Firstly,the data required for the calculation of the detector’s non-negative response matrix were measured,and the corresponding non-negative response matrix was obtained.Secondly,theγspectra of different radioactive sources were measured,and the convergence rate and recognition ability of theγspectra were tested by using the detectedγspectra and the calculated non-negative response matrix,respectively.Three new iterative algorithms and Gold algorithm were compared and observed in the experiment of convergence rate.The convergence rate of each algorithm changes with the increase of the number of reconstruction iterations in the process ofγspectrum reconstruction.The reconstruction capabilities of these new iterative algorithms for theγspectrum were analyzed and investigated through experiments.Based on a self-developed NaI(Tl)detector,low-energy resolutionγspectra were obtained through Monte Carlo simulations and actual measurements.The three proposed novel algorithms,in combination with a non-negative response matrix,were used to perform reconstruction analysis on theγspectrum,and the results were compared with those obtained using the traditional Gold algorithm.The experimental show that the Mi-Gold(ratio factor m=1.9)algorithm significantly outperforms the Gold algorithm in terms of both convergence rate and reconstruction accuracy.The reconstructed spectral characteristic peaks are sharper and more distinct,with a relative peak position error of less than 1%,effectively enhancing the reconstruction effect of characteristic peaks in the low-energy region.
作者
梁文超
张江梅
王嘉麒
LIANG Wenchao;ZHANG Jiangmei;WANG Jiaqi(College of Information Engineering,Southwest University of Science and Technology,Mianyang 621000,China;Innovation Center of Nuclear Environmental Safety Laboratory,Southwest University of Science and Technology,Mianyang 621000,China)
出处
《原子能科学技术》
北大核心
2025年第5期1126-1134,共9页
Atomic Energy Science and Technology
基金
国防科工局核能开发项目(HNKF202232(36))。
