强激光与粒子束2013，Vol.25Issue(1)：177-181,5.DOI:10.3788/HPLPB20132501.0177
Z箍缩中子编码诊断系统模拟平台搭建
Development of Monte Carlo code for Z-pinch driven fusion neutron imaging diagnosis system simulation
摘要
Abstract
The model of Z-pinch driven fusion imaging diagnosis system was set up by a Monte Carlo code based on the Geant4 simulation toolkit. All physical processes that the reality involves are taken into consideration in simulation. The light image of low neutron yield (about 1010) pill was obtained. Three types of image reconstruction algorithm, i. e. Richardson-Lucy, Wiener filtering and genetic algorithm were employed to reconstruct the neutron image with a low signal to noise ratio (SNR) and yield. The effects of neutron yields and the SNR on reconstruction performance were discussed. The results show that genetic algorithm is very robust for reconstructing neutron images with a low SNR. And the index of reconstruction performance and the image correlation coefficient using genetic algorithm, are proportional to the SNR of the neutron coded image.关键词
Z箍缩/蒙特卡罗方法/信噪比/图像重建Key words
Z-pinch/ Monte Carlo method/ signal to noise ratio/ image reconstruction分类
数理科学引用本文复制引用
贾清刚,张天奎,张凤娜,胡华四..Z箍缩中子编码诊断系统模拟平台搭建[J].强激光与粒子束,2013,25(1):177-181,5.基金项目
国家自然科学基金项目(10975113) （10975113）
