用于放射性废物测量的新型分段γ扫描算法研究

Study on New Segmented Gamma Scanning Algorithm for Radioactive Waste Measurement

  • 摘要: 本文介绍了一种新的分段γ扫描算法,该算法在不采用标准样品校准的条件下实现对待测样品放射性核素活度和质量的计算,省略了蒙特卡罗模拟所需的探测器表征和大量在线计算及标准样品校准环节,降低了测量时对实验条件的要求,提高了测量系统的工作效率。本文所提出的新算法考虑了相邻层的层间串扰问题,在一定程度上解决了近场测量中层间串扰带来的问题。与蒙特卡罗模拟结果进行对比和分析后发现:二者在层高较小时符合较好。实际测量数据的计算结果与标称值之间的相对偏差小于10%,从而有效验证了该算法的可行性。

     

    Abstract: A new algorithm for segmented gamma scanning (SGS) technique was described, by which the activity of radionuclide and the mass of nuclear material in those unknown samples can be determined without calibration by standard sample. Meanwhile, it bypassed the detector calibration and the massive online calculation which are needed in the Monte Carlo simulation, omitted the standards calibration, improved the efficiency of the measurement system, and reduced the requirements for the measurement of waste drums as well. According to the new algorithm described in this paper, the wedge correction has also been considered, which, to some extent, can solve those problems caused by wedge interruption in near-field measurement. Analyzing and comparing the new algorithm results with the results of Monte Carlo simulation, it’s found that these two methods match well, especially with the small segment. Meanwhile, the relative deviation between the measured data of test samples and nominal values is below 10%, which effectively verifies the feasibility of this algorithm.

     

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