伽玛射线实验望远镜组件对放射性物质的定位和识别

Joshua R. Wood, J. Legere, M. McConnell, J. Ryan
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引用次数: 0

摘要

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