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Selecting the complexity of the Moore-Penrose pseudoinverse for emission ghost imaging

Published

Author(s)

Kevin Coakley, Huaiyu Chen-Mayer, Bruce Ravel, Daniel Josell, Nikolai Klimov, Daniel Hussey

Abstract

We reconstruct X-ray fluorescence signals produced by synchrotron X-rays. In our method, we select the complexity of a Moore-Penrose pseudoinverse by a data-driven method, and study how systematic errors affect results for simulated data.
Proceedings Title
Optica Imaging Congress 2025 (3D,DH,COSI,IS,pcaOP,RadIT)
Conference Dates
August 18-21, 2025
Conference Location
Seattle, WA, US
Conference Title
Optical Imaging Congress 2025

Keywords

Cross-validation, experimental data, Moore-Penrose pseudoinverse, ghost imaging, simulations, synchrotron, X-rays, X-ray fluorescence.

Citation

Coakley, K. , Chen-Mayer, H. , Ravel, B. , Josell, D. , Klimov, N. and Hussey, D. (2025), Selecting the complexity of the Moore-Penrose pseudoinverse for emission ghost imaging, Optica Imaging Congress 2025 (3D,DH,COSI,IS,pcaOP,RadIT), Seattle, WA, US (Accessed December 4, 2025)

Issues

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Created December 2, 2025, Updated December 3, 2025
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