Location and identification of radioactive material with the GRETA (Gamma-Ray Experimental Telescope Assembly)

Joshua R. Wood, J. Legere, M. McConnell, J. Ryan
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Abstract

We previously reported Compton imaging measurements of 137Cs and 60Co laboratory sources using the full 15-channel readout of the Gamma-Ray Experimental Telescope Assembly (GRETA). We have since modified the detector geometry to accommodate a wider range of Compton scattering angles and implemented a neural networking method for the location of interaction positions with a 3-cm resolution inside the detector volumes. This paper describes the implementation of the neural networking method and culminates in the imaging of 137Cs, 60Co, and 252Cf sources using this technique.
伽玛射线实验望远镜组件对放射性物质的定位和识别
我们之前报道了使用伽马射线实验望远镜组件(GRETA)的完整15通道读数对137Cs和60Co实验室源的康普顿成像测量。此后,我们修改了探测器的几何形状,以适应更大范围的康普顿散射角,并实现了一种神经网络方法,用于定位探测器体积内分辨率为3厘米的相互作用位置。本文描述了神经网络方法的实现,并最终使用该技术对137Cs, 60Co和252Cf源进行成像。
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