强激光与粒子束2024，Vol.36Issue(12)：115-120,6.DOI:10.11884/HPLPB202436.240156
基于邦纳多球谱仪探测的中子能谱解谱研究
Neutron spectrum unfolding based on the detection of Bonner multi-sphere spectrometer
摘要
Abstract
In the field of neutron radiation,the problem of neutron spectrum unfolding has attracted much attention.The Bonner sphere spectrometer is often used for neutron spectrum detection,and the maximum entropy method can be used to analyze the neutron spectrum of the Bonner sphere spectrometer.Based on this principle,this paper establishes a simulation model including the Bonner sphere spectrometer with reference to the neutron shielding experiment in 2014.The simulation results of Monte Carlo method are used as the prior spectrum,and the maximum entropy deconvolution code(MAXED)based on the principle of maximum entropy is used for neutron spectrum unfolding.The effectiveness and accuracy of the method are verified by comparing with the literature data.By increasing the number of random particles in Monte Carlo method,multiple groups of prior spectrum with different accuracy are obtained.For different prior spectrum,the final spectral solution results can be statistically significant and the spectral solution results are effective.After comparison,the more accurate the prior spectrum is,the higher the accuracy of the final spectral solution results,indicating that it is important to obtain accurate Monte Carlo calculation results through appropriate variance reduction method,which can provide reference for subsequent research and experiments.In this paper,the GRAVEL method based on iterative algorithm is used to solve the neutron spectrum simultaneously,and the comparison of the calculation results of the two methods further proves the superior performance of the solution spectrum of the MAXED method.关键词
中子探测器/中子解谱/最大熵法/先验谱Key words
neutron detector/neutron spectrum unfolding/maximum entropy method/prior spectrum分类
能源科技引用本文复制引用
张硕,范杰清,张芳,赵强,郝建红,董志伟..基于邦纳多球谱仪探测的中子能谱解谱研究[J].强激光与粒子束,2024,36(12):115-120,6.基金项目
国家自然科学青年基金项目(12205024) （12205024）
