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Spatial pileup considerations for pixellated gamma-ray detectors

机译:像素化伽马射线探测器的空间堆积注意事项

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High-spatial-resolution solid-state detectors being developed for gamma-ray applications benefit from having pixel dimensions substantially smaller than detector slab thickness. This leads to an enhanced possibility of charge partially spreading to neighboring pixels as a result of diffusion (and secondary photon emission) transverse to the drift direction. An undesirable consequence is the effective magnification of the event "size" and the spatial overlap issues which result when two photons are absorbed in close proximity within the integration time of the detector/readout system. In this work, we develop the general statistics of spatial pileup in imaging systems and apply the results to detectors we are developing based on pixellated cadmium zinc telluride (CdZnTe) and a multiplexing application-specific integrated circuit (ASIC) readout. We consider the limitations imposed on total count rate capacity and explore in detail the consequences for the LISTMODE data-acquisition strategy. Algorithms are proposed for identifying and, where possible, resolving overlapping events by maximum-likelihood estimation. The efficacy and noise tolerance of these algorithms will be tested with combination of simulated and experimental data in future work.
机译:为伽马射线应用而开发的高空间分辨率固态检测器受益于像素尺寸大大小于检测器平板厚度。由于横向于漂移方向的扩散(和二次光子发射),这导致电荷部分扩散到相邻像素的可能性增加。不希望的结果是事件“大小”的有效放大和空间重叠问题,当两个光子在检测器/读出系统的积分时间内非常接近地被吸收时,会导致这种情况。在这项工作中,我们将开发成像系统中空间堆积的一般统计信息,并将结果应用于我们正在开发的基于像素化碲化镉锌(CdZnTe)和多路复用专用集成电路(ASIC)读数的探测器。我们考虑对总计数率容量施加的限制,并详细探讨LISTMODE数据获取策略的后果。提出了用于通过最大似然估计来识别并在可能的情况下解决重叠事件的算法。这些算法的功效和噪声容限将在未来的工作中结合模拟和实验数据进行测试。

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