基于BP神经网络的相同几何形状等质量铀部件~(235)U丰度判定
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摘要
针对相同几何形状、等质量、不同丰度的金属铀部件,采用~(252)Cf源驱动噪声分析法来获得中子时间关联计数。通过对中子时间关联计数的分析、处理,确定特征参数。采用BP神经网络方法通过一定数量的训练后,对未知丰度的金属铀部件进行判定。结果显示,采用BP神经网络方法可以对金属铀部件的丰度进行有效地判定。该方法可应用于金属铀部件身份认证工作。
To identify metal uranium components with same geometry and mass but different enrichments, ~(252)Cf source noise analysis was used to gain the neutron time correlation coincidence measurement. Based on the analysis and processing of neutron time correlation coincidence measurement, the characteristic parameters are determined. Through the method of BP neural network, we determined the ~(235)U enrichments of same geometry and mass but different enrichments uranium components. Result shows that by the method of BP neural network, we can diagnose the ~(235)U enrichments effectively.
To identify metal uranium components with same geometry and mass but different enrichments, ~(252)Cf source noise analysis was used to gain the neutron time correlation coincidence measurement. Based on the analysis and processing of neutron time correlation coincidence measurement, the characteristic parameters are determined. Through the method of BP neural network, we determined the ~(235)U enrichments of same geometry and mass but different enrichments uranium components. Result shows that by the method of BP neural network, we can diagnose the ~(235)U enrichments effectively.
引文
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[2]Fetter S.Detecting Nuclear Warhead[J].Science&Global Security,1990,17(1):225-253.
[3]王效忠,贾向军,赵荣生.有源符合中子法测量材料中的高浓铀[J].原子能科学技术,1998,32(2):257-262.
[4]许小明,王效忠,贾向军,等.中子符合测量技术及其应用[C].第十届全国核电子学与核探测技术学术年会论文集,2000,1:116-119.
[5]刘素萍,胡广春,龚建,等.模拟核弹头核查中能谱遮盖技术的概念研究[J].物理学报,2001,50(8)1405-1047.
[6]伍钧,刘成安,胡思德,等.以中子作外源的假想核弹头主动探测[J].计算物理,2003,20(1):71-75
[7]黄坡,谢文雄,谢奇林,等.金属铀部件235U富集度中子时间关联符合测量实验优化分析[J].原子能科学技术,2012,46(3):257-262.