多重单能射线成像在货物检验中原子序数识别的实验论证

B. Henderson, H. Y. Lee, T. D. Macdonald, R. Nelson, A. Danagoulian
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引用次数: 12

摘要

通过国际边界走私特殊核材料可能使核恐怖主义成为可能,并对全球安全构成重大威胁。本文介绍了一种新型射线照相技术的实验演示,用于推断商业货物集装箱中存在的材料的密度和类型,作为检测此类威胁的手段。与使用能量连续分布的轫致辐射光子源的传统技术不同,该技术利用来自核反应的单能光子,特别是来自$^{11}$ B(d,n $\gamma$) $^{12}$ C反应的4.4和15.1 MeV光子。通过利用$Z$依赖的光子相互作用的横截面在这两个特定的能量,有可能同时确定面密度和有效原子序数的位置为扫描对象的二维投影的函数。通过使用和探测特定能量的光子进行放射照相所收集到的额外信息大大提高了不同材料之间的分辨能力。本文介绍了模拟货物材料的成像结果,范围从$Z\approx5\text{-}92$,展示了在整个范围内材料的有效原子序数和面密度的准确重建。特别是,该系统能够用$Z\gtrsim70$区分纯材料,如铅和铀,这是检测SNM系统的关键要求。这种方法可用于从SNM中区分大多数良性物质,如铀和钚,将误报率降低到可接受的水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experimental Demonstration of Multiple Monoenergetic Gamma Radiography for Effective Atomic Number Identification in Cargo Inspection
The smuggling of special nuclear materials (SNM) through international borders could enable nuclear terrorism and constitutes a significant threat to global security. This paper presents the experimental demonstration of a novel radiographic technique for inferring the density and type of material present in commercial cargo containers, as a means of detecting such threats. Unlike traditional techniques which use sources of bremsstrahlung photons with a continuous distribution of energies, this technique utilizes monoenergetic photons from nuclear reactions, specifically the 4.4 and 15.1 MeV photons from the $^{11}$B(d,n$\gamma$)$^{12}$C reaction. By exploiting the $Z$-dependence of photon interaction cross sections at these two specific energies it is possible to simultaneously determine the areal density and the effective atomic number as a function of location for a 2D projection of the scanned object. The additional information gleaned from using and detecting photons of specific energies for radiography substantially increases resolving power between different materials. This paper presents results from the imaging of mock cargo materials ranging from $Z\approx5\text{-}92$, demonstrating accurate reconstruction of the effective atomic number and areal density of the materials over the full range. In particular, the system is capable of distinguishing pure materials with $Z\gtrsim70$, such as lead and uranium --- a critical requirement of a system designed to detect SNM. This methodology could be used to distinguish most benign materials from SNM, such as uranium and plutonium, reducing false positives to an acceptable rate.
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