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Real-Time Implementation of a Deconvolution Filter for Gamma Ray Spectroscopy

机译:实时反卷积滤波器用于伽马射线光谱学的实现

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摘要

In this paper, we propose a new approach for real-time detection of pileup in gamma-ray spectroscopy using finite length deconvolution filters; in particular, a 3-point deconvolution with Savitzky Golay pre-filter is discussed. The approach was tested and proven to be able to resolve accurately pileup in 93% of the cases. Using the proposed approach, the number of pileup events can be reduced by eight folds. The setup was tested with both simulated data and random signals from a ~(137)Cs test source. More specifically, gamma pulses, from a 2 inch Nal(TI) scintillation detector, were captured as single and double pulses for the purpose of testing the proposed peak detection algorithm. The algorithms developed here were then implemented in real time using a high performance floating-point processor, the TMS320C6711. A number of optimisation levels were achieved using the Code Composer Studio profiler based on critical timing to satisfy the real-time constraints of gamma-ray spectroscopy systems. A comparison in complexity and real time computations among various deconvolution algorithms has been carried using the TMS320C6711 processor.
机译:在本文中,我们提出了一种使用有限长度反卷积滤波器实时检测伽马射线光谱中堆积现象的新方法。特别地,讨论了具有Savitzky Golay预滤波器的三点反卷积。经过验证,该方法可以在93%的情况下准确解决堆积问题。使用提出的方法,堆积事件的数量可以减少八倍。使用来自〜(137)Cs测试源的模拟数据和随机信号对设置进行了测试。更具体地说,来自2英寸Nal(TI)闪烁检测器的伽马脉冲被捕获为单脉冲和双脉冲,目的是测试提出的峰值检测算法。然后,使用高性能浮点处理器TMS320C6711实时实现此处开发的算法。使用Code Composer Studio探查器基于关键时序可以达到许多优化级别,以满足伽玛射线光谱系统的实时约束。使用TMS320C6711处理器可以比较各种反卷积算法的复杂度和实时计算。

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