Gaussian shaper for nuclear pulses based on multilevel cascade convolution
Gaussian shaper for nuclear pulses based on multilevel cascade convolution
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DOI：
10.1007/s41365-022-01145-4
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发表时间：
2022-12
影响因子：
2.8
通讯作者：
Min Wang;Jian-Bin Zhou;Xiao-ping OuYang;Ying-jie Ma;Xu Hong
中科院分区：
文献类型：
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作者：
Min Wang;Jian-Bin Zhou;Xiao-ping OuYang;Ying-jie Ma;Xu Hong
对于核测量，必须从核脉冲中获得准确的信息，这应该通过首先对探测器输出的脉冲进行整形来获得。然而，常用的脉冲整形算法存在一定的问题。例如，某些脉冲整形算法在高计数率环境中有很长的死区时间，或者很难在数字系统中实现。高斯信号由于其对称性和完备性，在模拟核仪器中得到了广泛的应用。高斯信号通常采用串联或并联的多电平S-K滤波器来实现。复数高斯滤波算法很难实现实时数字高斯滤波。提出了一种基于多电平级联卷积的双指数信号脉冲整形算法，该算法除了适用于双指数信号外，还允许使用更复杂的输出信号模型。该算法适用于高计数率环境，并已在FPGA中实现，所需乘法器比其他传统高斯脉冲整形算法所需的乘法器更少。离线处理结果表明，与传统的高斯脉冲整形算法相比，该算法得到的输出整形脉冲的平均峰值基宽有所减小。实验结果还表明，该方法提高了信噪比和能量分辨率，特别是在低能量脉冲情况下。在提高计数率的同时，能量分辨率提高了0.1~0.2%。
For nuclear measurements, it is necessary to obtain accurate information from nuclear pulses, which should be obtained by first shaping the pulses outputted by the detectors. However, commonly used pulse-shaping algorithms have certain problems. For example, certain pulse-shaping algorithms have long dead-times in high-counting-rate environments or are difficult to achieve in digital systems. Gaussian signals are widely used in analog nuclear instruments owing to their symmetry and completeness. A Gaussian signal is usually implemented by using a multilevel S–K filter in series or in parallel. It is difficult to construct a real-time digital Gaussian filter for the complex Gaussian filtering algorithm. Based on the multilevel cascade convolution, a pulse-shaping algorithm for double exponential signals is proposed in this study, which, in addition to double exponential signals, allows more complex output signal models to be used in the new algorithm. The proposed algorithm can be used in high-counting-rate environments and has been implemented in an FPGA with fewer multipliers than those required in other traditional Gaussian pulse-shaping algorithms. The offline processing results indicated that the average peak base width of the output-shaped pulses obtained using the proposed algorithm was reduced compared with that obtained using the traditional Gaussian pulse-shaping algorithm. Experimental results also demonstrated that signal-to-noise ratios and energy resolutions were improved, particularly for pulses with a low energy. The energy resolution was improved by 0.1–0.2% while improving the counting rate.