脉冲幅度测量数据分析和滤波器优化：高分辨率 X 射线光谱学案例研究。

Data Analysis and Filter Optimization for Pulse-Amplitude Measurement: A Case Study on High-Resolution X-ray Spectroscopy.

机构信息

International Centre for Theoretical Physics, 34151 Trieste, Italy.

Department of Physics, University of Sri Jayewardenepura, Nugegada 10250, Sri Lanka.

出版信息

Sensors (Basel). 2022 Jun 24;22(13):4776. doi: 10.3390/s22134776.

DOI:10.3390/s22134776

PMID:35808271

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9269590/

Abstract

In this study, we present a procedure to optimize a set of finite impulse response filter (FIR) coefficients for digital pulse-amplitude measurement. Such an optimized filter is designed using an adapted digital penalized least mean square (DPLMS) method. The effectiveness of the procedure is demonstrated using a dataset from a case study on high-resolution X-ray spectroscopy based on single-photon detection and energy measurements. The energy resolutions of the α and β lines of the Manganese energy spectrum have been improved by approximately 20%, compared to the reference values obtained by fitting individual photon pulses with the corresponding mathematical model.

摘要

在本研究中，我们提出了一种优化有限脉冲响应滤波器（FIR）系数的方法，用于数字脉冲幅度测量。这种优化滤波器是使用自适应数字惩罚最小均方（DPLMS）方法设计的。该程序的有效性通过基于单光子探测和能量测量的高分辨率 X 射线光谱学案例研究中的数据集得到了证明。与通过将单个光子脉冲与相应的数学模型拟合来获得的参考值相比，锰能谱的α和β线的能量分辨率提高了约 20%。