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Adjacent 2-Pixel Event Discrimination in 3-D Position Sensitive Imaging CdZnTe Detectors Using the UM_VAD ASIC

机译:使用UM_VAD ASIC的3-D位置敏感成像Cdznte检测器中的相邻2像素事件判别

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In a pixelated 3-D position sensitive CdZnTe gamma-ray imaging detector, 2-pixel side-neighbor events make up about 50 percent of 2-pixel events. These side-neighbor events can originate from either Compton scattering or charge sharing. Distinguishing between these two categories of events will be of interest for advanced data processing, such as event classification or improvement for Compton imaging efficiency. A digitizer UM_VAD ASIC developed in collaboration with Gamma-Medica IDEAS has been used for pixelated 3-D position sensitive CdZnTe detectors. Because this ASIC digitizes pulse waveforms outputted by the preamplifier, it has achieved better depth separation uncertainty, about 0.3mm compared to 1mm fwhm from the GMI vas 2.3/TAT4 ASIC. It is also possible to use the signals from the pixels neighboring the collecting pixel to determine the sub-pixel position of an electron cloud interaction. This work focuses on the development of a method to distinguish between 2-pixel side-neighbor events caused by Compton scattering and those caused by charge-sharing. The sub-pixel position information is used in addition to the depth separation of the two interactions to provide better discrimination capability. The experimental results and the algorithm have been verified through Geant4 simulations.
机译:在像素化的3-D位置敏感Cdznte伽马射线成像检测器中,2像素侧相邻事件构成了大约2个像素事件的50%。这些侧面邻居事件可以源自康普顿散射或电荷共享。区分这两类事件将对高级数据处理感兴趣,例如康普顿成像效率的事件分类或改进。与Gamma-Medica思想合作开发的数字化器UM_VAD ASIC已用于像素化的3-D位置敏感CDZNTE探测器。因为该ASIC数字化了前置放大器输出的脉冲波形,所以它已经实现了更好的深度分离不确定度,与GMI VAS 2.3 / TAT4 ASIC的1mm FWHM相比,约0.3mm。还可以使用来自相邻的像素的信号来确定电子云交互的子像素位置。这项工作侧重于开发一种区分由Compton散射引起的2像素侧邻居和由电荷共享引起的方法的方法。除了两个相互作用的深度分离之外,还使用子像素位置信息以提供更好的辨别能力。通过GEANT4模拟验证了实验结果和算法。

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