基于数字化脉冲处理器的α/β射线甄别方法研究

Research on α/β Rays Discrimination Method Based on Digital Pulse Processor

  • 摘要: 表面污染检测设备多采用ZnS(Ag)和塑料闪烁体组成的复合探测器对α/β射线进行同时测量,其中α/β射线的甄别方法至关重要。传统的甄别方法主要有脉冲幅度甄别法和脉冲宽度甄别法,其受模拟元件参数的影响而甄别稳定性降低。本文基于数字化脉冲处理器对α/β射线进行甄别,在FPGA内部构建电流恢复器、两路方形滤波器、比值计算器计算两路方形滤波器的输出峰值的比值。α/β射线在比值统计图中的不同区间呈高斯分布,由此实现对α/β射线的甄别。结果表明:该甄别方法能实时甄别出α/β射线,甄别品质因子为3.52,串道比均小于0.5%。对α、β探测效率分别不小于57.7%、37%。

     

    Abstract: Most of the surface contamination detection equipments use a phoswich detector composed of ZnS(Ag) and plastic scintillators to simultaneously measure α/β rays, and the discrimination method of α/β rays is critical in this process. The traditional discrimination methods are pulse amplitude discrimination and pulse width discrimination, and the parameter setting of the analog components has a great impact on the stability of the discrimination. In this paper, a digital pulse processor is used to screen α/β rays. A current restorer, a doublechannel box filter and a ratio calculator inside the FPGA were constructed to calculate the ratio output peaks of the doublechannel box filter. The α/β rays are Gaussian in different intervals in the ratio statistical graph, thus the α/β rays can be discriminated. The results show that this discrimination method can discriminate α/β rays in real time, with the quality factor of 3.52 and crosstalk ratio of less than 0.5%. The detection efficiency for α and β rays is respectively no less than 57.7% and 37%.

     

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