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A Passive Method for the Detection of Explosives and Weapons-Grade Plutonium in Nuclear Warheads

机译:被动方法检测核弹头中的炸药和武器级P

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摘要

Before a nuclear warhead is dismantled, the special nuclear material and explosives must be identified and authenticated. This paper proposes a passive method to detect and identify weapons-grade plutonium cores and explosives in nuclear warheads based on neutron analyses techniques. This paper first describes the principles of a passive detection method that calculates the element number ratio (namely the ratio between the nucleus numbers of two different elements) of the element of interest to identify a source and how this method could be applied to the detection of warhead explosives. Second, a simulation of weapons-grade plutonium using JMCT software is described. The simulation assumes the elemental components of the explosives are activated by the production and transport of neutrons from the weapons-grade plutonium core and counted the gamma ray emissions of from the resultant hydrogen, carbon, and nitrogen nuclides with a high-purity germanium detector (HPGe) array. After an hour of counting, the element number ratios of these elements in the simulation were reconstructed and accurately matched the values for the explosives in the warhead. These results suggest that the passive method can be used to identify the presence of weapons-grade plutonium in the warhead. In addition, the simulation showed that the passive method can also discriminate between the various types of explosives in warheads, providing important physical information for the verification process during dismantlement.
机译:在拆除核弹头之前,必须识别并认证特殊的核材料和爆炸物。本文提出了一种基于中子分析技术的无源方法,用于检测和识别核弹头中的武器级p芯和爆炸物。本文首先介绍了一种被动检测方法的原理,该方法计算感兴趣元素的元素数比率(即两个不同元素的原子核数目之间的比率)以识别来源,以及该方法如何应用于检测来源。弹头炸药。其次,描述了使用JMCT软件模拟武器级p的方法。该模拟假设爆炸物的元素成分是通过武器级p核产生和运输中子而激活的,并使用高纯度锗探测器计算了由此产生的氢,碳和氮核素产生的γ射线发射量( HPGe)阵列。经过一个小时的计数,模拟中的这些元素的元素数量比率得以重建,并准确匹配了弹头中爆炸物的值。这些结果表明,被动方法可用于识别弹头中武器级p的存在。此外,仿真表明,被动方法还可以区分弹头中的各种爆炸物,为拆卸过程中的验证过程提供重要的物理信息。

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  • 来源
    《Science & global security》 |2018年第3期|57-69|共13页
  • 作者单位

    Institute of Applied Physics and Computational Mathematics, Beijing, China;

    Center for Strategic Studies, China Academy of Engineering Physics, Beijing, China;

    Software Center for High Performance Numerical Simulation, China Academy of Engineering Physics, Beijing, China;

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