Methods for energy dispersive x-ray spectroscopy with photon-counting and deconvolution techniques
Year: 2025
Type: article
Abstract: Spectroscopic techniques are essential for studying material properties, but the small cross sections of some methods may result in low signal-to-noise ratios (SNRs) in the collected spectra. In this article, we present methods, based on combining Bragg spectroscopy with photon counting and deconvolution algorithms, which increase the SNRs, making the spectra better suited to further analysis. We aim to provide a comprehensive guide for constructing spectra from camera images. The efficacy of these methods is validated on synthetic and experimental data, the latter coming from the field of high-energy density (HED) science, where x-ray spectroscopy is essential for the understanding of materials under extreme thermodynamic conditions.
Source: Journal of Applied Physics
DOI: 10.1063/5.0251153
Authors: Alessandro Forte, Thomas Gawne, Oliver S. Humphries, Thomas Campbell, Yuanfeng Shi, Sam M. Vinko
Language: English
Subfield: Surfaces, Coatings and Films
Field: Materials Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,500
OpenAlex ID: W4409068894
