The accuracy evaluation method of baseline estimation algorithms in energy dispersive X-ray fluorescence spectrum analysis |
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| Authors: | Luman Jia Yi Gu Qingxian Zhang Jian Zhang Xiaolan Yan Yifan Zhang Youjing Wang Liangquan Ge |
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| Affiliation: | 1. College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, China;2. College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu, China |
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| Abstract: | In energy dispersive X-ray fluorescence analysis (EDXRF), many baseline estimation algorithms have been proposed for the accurate characteristic peak area. However, the true value of the characteristic peak area of measured spectrum is unknown and cannot be used to evaluate the accuracy of the baseline estimation algorithms. In this article, an assessment method was proposed based on Monte Carlo simulation, which can obtain the characteristic peak area, and evaluate the accuracy of the baseline estimation algorithms directly. Meanwhile, the accuracy and practicality of four baseline estimation algorithms were evaluated by the assessment method, which include statistics-sensitive nonlinear iterative peak-clipping (SINP), fast Fourier transform (FFT), adaptive iteratively reweighted penalized least squares (AirPLS), and automated iterative moving averaging (AIMA). Comparing the relative error of the characteristic peak area, AirPLS gave the best performance for baseline estimation in EDXRF. |
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