基于弹道亏损形状特征的堆积脉冲识别方法

Pile-up Pulse Recognition Method Based on Ballistic Deficit Shape Feature

  • 摘要: 识别与拒绝堆积脉冲是提升高辐射环境下X荧光光谱性能的有效方法。本文提出一种堆积脉冲甄别方法,该方法首先将原始脉冲成形为三角脉冲和梯形脉冲;然后计算其幅度比值,该比值称为时不变脉冲形状标签(TIPS);最后通过TIPS的大小判别脉冲是否堆积。这种方法不需要测量脉冲宽度,且不受脉冲幅度变化的影响。与逆锯齿波成形器相比,三角脉冲成形器能更有效地抑制TIPS展宽,从而有利于甄别堆积脉冲。在1.22×106 s-1通过率下,使用该方法识别铅黄铜样品中堆积脉冲。结果表明,当非堆积脉冲损失率为15%时,准确率、召回率及F1得分分别提升到73.55%、78.75%和76.06%,铜的Kα峰峰总比提高到76.60%。本文提出的方法可以有效识别堆积脉冲和提高能谱的峰总比。

     

    Abstract: In X-ray fluorescence spectroscopy analysis, high intensity X-ray is usually used to irradiate the sample for obtaining stable energy spectrum quickly, which also leads to serious pulse pile-up, count rate loss and energy resolution degradation. It is effective for improving energy spectrum performance to recognize and reject pile-up pulses. Fast shaping discrimination technology (FSDT) and pulse feature time discrimination technology (FTDT) are popular methods for identifying pile-up pulses. It is impossible for FSDT to identify pile-up pules with intervals shorter than the fast pulse resolution time. The measured feature time is subject to pulse-height variation and ADC sampling frequency, which limits FTDT detection capability. In this paper, a pulse shape discrimination method was proposed. An original digital pulse was shaped to a triangular pulse and a trapezoidal pulse. The amplitude ratio, which is also known as time-invariant pulse-shape signature (TIPS), is a pulse shape feature for recognizing pile-up pulse. It is not necessary to measure the pulse arrival time. TIPS is not dependent on ADC sampling frequency and pulse amplitude, but only on ballistic deficit and noise fluctuations. The triangular pulse shaper is a bandpass filter that can suppress high-frequency noise, which can reduce TIPS broadening. The trapezoidal pulse shaping algorithm can be immune to ballistic deficit, while the triangular pulse shaping algorithm cannot. Generally, there are higher TIPS value in pile-up pules because of ballistic deficit. A threshold can be used to determine whether the pulse is pile-up. The TIPS value of some piled pulses is less than that of non-piled pulses. If the threshold is set relatively low, many non-piled pulses will be misjudged. Conversely, a lot of pile-up pulses will be missed. The loss rate of the non-piled pulses can be determined by its TIPS distribution. A copper sample is used for the test experiment. When the tube current is set to 3.9 μA, the measured count rate is only 6 500 s-1 in the fast shaper so that the pile-up can be almost ignored. The measured TIPS distribution can be regarded as the TIPS distribution of non-piled pulses. When the tube current is set to 1 mA, the measured count rate reaches 1.22×106 s-1 in the fast shaper. When α is the same, the accuracy, recall rate and F1 score are all improved by using the proposed method to identify pile-up pulses. For example, when α is 15%, the accuracy, recall rate and F1 score are increased to 73.55%, 78.75% and 76.06% respectively. The peak-to-total ratio of the Kα peak of Cu is increased to 76.6%. The proposed method can effectively identify pile-up pulses.

     

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