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Chin. Phys. B, 2020, Vol. 29(6): 068703    DOI: 10.1088/1674-1056/ab8887
INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY Prev   Next  

Biases of estimated signals in x-ray analyzer-based imaging

Jianlin Xia(夏健霖), Wen Xu(徐文), Ruicheng Zhou(周瑞成), Xiaomin Shi(石晓敏), Kun Ren(任坤), Heng Chen(陈恒), Zhili Wang(王志立)
School of Electronic Science&Applied Physics, Hefei University of Technology, Hefei 230009, China
Abstract  Recently, a novel three-image algorithm has been proposed to retrieve the sample's absorption, refraction, and scattering properties in x-ray analyzer-based imaging. The feasibility of the three-image algorithm was validated by synchrotron radiation experiments. However, it is unclear yet whether the estimated refraction and scattering signals are biased or not and how the analyzer angular position affects the biases in the estimated signals. For this purpose, the biases of the extracted refraction and scattering signals are theoretically derived for the three-image algorithm. The theoretical models are further confirmed by numerical experiments. The results show that both the estimated refraction and scattering signals are biased, and the biases are strongly dependent on the analyzer angular position. Besides, the biases also show dependence on the sample's refraction and scattering properties locally. Those results can be used as general guidelines to optimize experimental parameters for bias reduction and accurate imaging of different features within the sample.
Keywords:  x-ray imaging      analyzer-based imaging      three-image algorithm  
Received:  15 December 2019      Revised:  02 April 2020      Published:  05 June 2020
PACS:  87.59.-e (X-ray imaging)  
  43.60.Cg (Statistical properties of signals and noise)  
  42.30.Rx (Phase retrieval)  
  41.50.+h (X-ray beams and x-ray optics)  
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. U1532113, and 11475170) and the Fundamental Research Funds for the Central Universities, China (Grant No. PA2020GDKC0024).
Corresponding Authors:  Zhili Wang     E-mail:  dywangzl@hfut.edu.cn

Cite this article: 

Jianlin Xia(夏健霖), Wen Xu(徐文), Ruicheng Zhou(周瑞成), Xiaomin Shi(石晓敏), Kun Ren(任坤), Heng Chen(陈恒), Zhili Wang(王志立) Biases of estimated signals in x-ray analyzer-based imaging 2020 Chin. Phys. B 29 068703

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