基于粒子群优化的塑料闪烁体伽玛射线谱解卷积

A. Proctor
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引用次数: 1

摘要

由掺有荧光染料的聚乙烯烃甲苯1(PVT)制成的塑料闪烁体广泛用于国土安全、废金属检查和其他需要大面积、经济高效的伽马探测器的应用中。不幸的是,使用PVT进行伽马射线探测只能得到康普顿边缘事件,而康普顿边缘事件导致了宽连续光谱,没有可识别的特征。从低分辨率PVT光谱中获取信息的其他方法已经在出版物中描述过,但目前还没有适合常规使用的实用方法。我们开发了一种基于粒子群优化(PSO)的方法,该方法分析原始PVT光谱,并提供贡献(s)与入射单能γ能量(s)的直方图。这是通过将多个单能量计算的PVT伽马响应累加到一个“谱”中来完成的,直到获得与原始数据谱的“最佳拟合”。响应函数输入集采用MCNP5计算,覆盖合适的能量范围;我们使用一组255个响应函数,它们之间间隔为11 keV(这对应于我们的PVT检测器中使用的ADC增益)。该装置提供11 keV至2805 keV的入射单能伽马能量范围,适用于大多数应用。通常,我们发现在计算的直方图中只有一个或两个伽马响应函数对“峰值”有贡献。一旦确定了贡献能量,就可以应用传统的放射性核素鉴定方法。作为一个额外的好处:定位自然背景伽马射线:238 keV, 609 keV, 1460 keV和2614 keV在反卷积频谱可以用来获得稳定的PVT探测器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deconvolving Plastic Scintillator Gamma-Ray Spectra Using Particle Swarm Optimization
Plastic scintillators made from Polyvinyl Toluene 1(PVT) doped with fluorescent dye are used extensively in homeland security, scrap metal inspections, and other applications that require a large-area, cost-effective gamma detector. Unfortunately, gamma ray detection with PVT results in only Compton-edge events which contribute to a broad continuum spectrum having no discernible features. Other methods of obtaining information from low resolution PVT spectra have been described in publications but at the present time there is no practical method suitable for routine use. We have developed a method based on Particle Swarm Optimization (PSO) which analyzes raw PVT spectra and provides a histogram of contribution(s) vs. incident monoenergetic gamma energy(s). This is accomplished by summing multiple single-energy calculated PVT gamma responses into a ‘spectrum’ until a ‘best fit’ to the original raw data spectrum is obtained. The input set of response functions are calculated using MCNP5 and cover an appropriate energy range; we use a set of 255 response functions with 11 keV spacing between them (this corresponds to the ADC gain used in our PVT detectors). This set provides a range of 11 keV to 2805 keV for incident monoenergetic gamma energies which is suitable for most applications. Usually, we find that only one or two gamma response functions contribute to a ‘peak’ in the calculated histogram. Traditional radionuclide identification methods can be applied once the contribution gamma energies have been identified. As an added benefit: locating natural background gamma rays: 238 keV, 609 keV, 1460 keV, and 2614 keV in the deconvolved spectrum can be used to gain-stabilize the PVT detector.
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