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

机译:GRETA(伽马射线实验望远镜组件)对放射性物质的定位和识别

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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.
机译:我们以前曾报道过使用γ射线实验望远镜组件(GRETA)的15通道全读数对 137 Cs和 60 Co实验室源进行康普顿成像测量。此后,我们已经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,并为探测器体积内3 cm分辨率的相互作用位置的位置实现了一种神经网络方法。本文介绍了神经网络方法的实现,并最终使用该技术对 137 Cs, 60 Co和 252 Cf源进行成像。

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