三种解谱算法求解中子能谱的解谱效果比较

使用多球谱仪测量中子能谱时,需要使用"少道"解谱算法。为此,本文分别将迭代算法、蒙卡算法和遗传算法应用到中子能谱解谱中,通过MCNP模拟几种辐射防护常见的中子能谱,模拟得到探测器在各个球中的计数,然后使用迭代算法、蒙卡算法和遗传算法进行解谱,并对三种解谱算法的解谱效果进行比较。结果显示,三种算法均能够很好的完成解谱,且给出的中子注量、周围剂量当量和平均能量与参考值符合的也较好。另外,在典型的中子辐射场,三种算法的使用条件不同,可相互配合,较好的给出解谱结果。

Comparison of the Unfolding Spectra Effect of Three Kinds of Unfolding Spectra Algorithm for Neutron Spectrum

The"few channel"unfolding method is required to get neutron spectrum from the count rate data ob-tained from a set of Bonner sphere neutron detectors.So,Iterative Algorithm,Monte Carlo and Genetic Algo-rithm are used to unfold neutron spectra in this paper.In order to check the unfolding effect,MCNP is used to simulate some neutron spectra that are usually encountered in Radiation protection fields.Then the count rate can be obtained from each sphere by MCNP calculating and three mathematical methods are used to unfold neu -tron spectrum.The values of neutron influence, ambient dose equivalent and mean energy calculated agree to reference values within an acceptable deviation.Moreover In typical neutron radiation field, the three mathe-matical methods require different conditions and the confident unfolding results will be got.