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复杂快中子源编码成像高效模拟方法研究

Highly Effective Simulation Strategy for Coded Imaging of the Complex Fast Neutron Source
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摘要 为了解决快中子编码成像中复杂源图像定义与模拟效率的问题,研究了基于深度优先合并方法的复杂源图像定义方法。采用栅元合并技术来减小源定义所需栅元数目,同时保证蒙特卡洛模拟中源抽样的效率,从而提高复杂源图像编码成像模拟效率。模拟源为二值E字母时,源合并后模拟所得编码像的计算结果最小误差较源合并前没有变化且满足统计要求,计算时间则减少且为源合并前模拟时间的1/5;对16、64和256灰度阶E字母源进行了编码像的模拟计算,模拟结果的最小误差小于1%,符合重建研究的需要;采用3种重建算法对"西安交通大学校徽"复杂二值源的定义和模拟进行了源区重建,进而验证了基于深度优先合并的源定义方法的正确性。该方法可望为增进聚变源区所历复杂过程诊断的适应性提供一种切实可行的技术途径。 To solve the difficulties in complex gray-scale source definition and simulation efficiency,a strategy for defining complex gray-scale source based on the depth-first merger is proposed.A technology of cells merging is used to reduce the number of cells for the source definition and ensure the sampling efficiency of source in Monte Carlo simulation,thus the simulation efficiency of coded imaging of the complex gray-scale source can be increased.When the simulated source is the binary letter E source,the error of simulated coded image of the merged source remains same as that of the source without merging and meets the requirement of the reconstruction for statistics,while the computing time for merged source is reduced to 1/5of the source without merging.The 16,64 and 256gray-scale letter E sources are defined by the definition method of complex gray-scale source based on the depth-first merger,and the corresponding simulations of coded image are also carried out.The errors of simulation results reach less than 1%,which meet the requirement of the reconstruction for statistics.The complex binary source of Xi'an Jiaotong University school badge is defined with the proposed strategy forcomplex gray-scale source based on the depth-first merger and the corresponding simulation of coded image is carried out,then the reconstructions of the source by three different methods are realized.The strategy for defining complex gray-scale source based on the depth-first merger is verified,so it can be expected to provide a feasible technological approach to enhance the adaptability of diagnosis of the complex capsule implosion process.
出处 《西安交通大学学报》 EI CAS CSCD 北大核心 2016年第7期118-124,共7页 Journal of Xi'an Jiaotong University
基金 教育部高校创新研究团队资助项目(IRT1280) 陕西省自然科学基础研究计划资助项目(2015JZ001) 国家自然科学基金资助项目(11505166)
关键词 快中子编码成像 深度优先合并 复杂灰度源 蒙特卡洛模拟 图像重建 fast neutron coded imaging depth-first merger complex gray-scale source Monte Carlo simulation image reconstruction
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参考文献19

  • 1PfalznerS.惯性约束聚变导论[M].北京:原子能出版社,2011:1-5.
  • 2VOLEGOV P L,DANLY C R,FITTINGHOFF D N,et al.Self characterization of a coded aperture array for neutron source imaging[J].Rev Sci Instrum,2014,85(12):123506.
  • 3VOLEGOV P,DANLY C R,FITTINGHOFF D N,et al.Neutron source reconstruction from pinhole imaging at National Ignition Facility[J].Rev Sci Instrum,2014,85(2):023508.
  • 4WILSON D C,ARAGONEZ R J,ARCHULETA T N,et al.Comparing neutron and X-ray images from NIF implosions[J].EPJ Web of Conferences,2013,59:04002.
  • 5GRIM G P,ARCHULETA T N,ARAGONEZ R J,et al.Summary of the first neutron image data collected at the National Ignition Facility[J].EPJ Web of Conferences,2013,59:13017.
  • 6HURRICANE O A,CALLAHAN D A,CASEY D T,et al.Fuel gain exceeding unity in an inertially confined fusion implosion[J].Nature,2014,506(7488):343-348.
  • 7张天奎.快中子编码成像技术中的图像重建方法研究[D].西安:西安交通大学,2013.
  • 8BRIESMEISTER J F.MCNP:ageneral Monte Carlo N-particle transport code,Version 4C[R].Los Alamos,USA:Los Alamos National Laboratory,2000.
  • 9SHULTIS J K,FAW R E.An MCNP primer[M].Manhattan,USA:Kansas State University,2006:16-20.
  • 10西安交通大学核科学与技术系.MCNP-3B/PC程序使用说明书[R].西安:西安交通大学核科学与技术系,2004.

二级参考文献6

  • 1吴刚,李泉凤,程诚,杜泰斌,黑东炜,罗剑辉.厚针孔成像动态监测高能加速器束斑系统[J].高能物理与核物理,2005,29(1):86-90. 被引量:4
  • 2邵军明,路宏年,蔡慧.X射线成像系统点扩展函数理论模型及其实验验证[J].光学技术,2005,31(1):104-106. 被引量:6
  • 3Delage O,Garconnet J P,Schirmann D,et al.Neutron penumbral imaging of inertial confinement fusion targets at Phébusa[J].Rev.Sci.Instrum.1995,66(2):1205-1209.
  • 4Disdier L,Rouyer A,Fedotoff A,et al.Neutron imaging of ICF target plasmas[J].Rev.Sci.Instrum.2003,74 (3):1832-1836.
  • 5Gieles M,Jong,Beekman F J.Monte Carlo simulations of pinhole imaging accelerated by kernel-based forced detection[J].Phys.Med.Biol.2002,47:1853-1867.
  • 6X-5 Monte Carlo Team.MCNP-A General Monte Carlo N-Particle Transport Code[R].LA CP 03 0245,2003.

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