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Investigation of energy windowing algorithms for effective cargo screening with radiation portal monitors

机译:使用辐射门监控器进行有效货物筛选的能量窗算法研究

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摘要

Radiation portal monitors (RPMs) are distributed across the globe in an effort to decrease the illicit trafficking of nuclear materials. Many current generation RPMs utilizes large polyvinyltoluene (PVT) plastic scintillators. These detectors are low cost and reliable but have very poor energy resolution. The lack of spectroscopic detail available from PVT spectra has restricted these systems primarily to performing simple gross counting measurements in the past. A common approach to extend the capability of PVT detectors beyond simple "gross-gamma" use is to apply a technique known as energy windowing (EW) to perform rough nuclide identification with limited spectral information. An approach to creating EW algorithms was developed in this work utilizing a specific set of calibration sources and modified EW equations; this algorithm provided a degree of increased identification capability. A simulated real-time emulation of the algorithm utilizing actual port-of-entry RPM data supplied by ORNL provided an extensive proving ground for the algorithm. This algorithm is able to identify four potential threat nuclides and the major NORM source with a high degree of accuracy. High-energy masking, a major detriment of EW algorithms, is reduced by the algorithm's design.
机译:辐射门户监测器(RPM)分布在全球各地,以减少核材料的非法贩运。许多当前的RPM使用大型聚乙烯甲苯(PVT)塑料闪烁体。这些检测器成本低廉且可靠,但能量分辨率却很差。过去,由于无法从PVT光谱中获得光谱细节,因此这些系统主要局限于进行简单的总计数测量。将PVT检测器的功能扩展到简单的“粗伽玛”使用之外的一种常用方法是应用一种称为能量窗(EW)的技术,以有限的光谱信息执行粗核素的识别。在这项工作中,利用一组特定的校准源和修改后的电子战方程,开发了一种创建电子战算法的方法;该算法提供了一定程度的增强的识别能力。利用ORNL提供的实际入口RPM数据对该算法进行的模拟实时仿真为该算法提供了广阔的实验基础。该算法能够高度准确地识别四个潜在威胁核素和主要NORM源。算法设计降低了高能掩蔽,这是电子战算法的主要弊端。

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