Methods for energy dispersive x-ray spectroscopy with photon-counting and deconvolution techniques
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.
Authors
- S. M. Vinko (ORCID: https://orcid.org/0000-0003-1016-0975)
- Thomas F. Campbell (ORCID: https://orcid.org/0000-0002-0104-1424)
- Oliver Humphries (ORCID: https://orcid.org/0000-0001-6748-0422)
- Thomas Gawne (ORCID: https://orcid.org/0000-0001-9998-3606)
- Yuanfeng Shi (ORCID: https://orcid.org/0000-0002-7723-2331)
- Alessandro Forte (ORCID: https://orcid.org/0000-0002-2872-7223)
Institutions
- Rutherford Appleton Laboratory (GB)
- Helmholtz-Zentrum Dresden-Rossendorf (DE)
- University of Oxford (GB)
- Center for Advanced Systems Understanding (DE)
- European X-Ray Free-Electron Laser (DE)
Publication Details
- Journal
- Journal of Applied Physics
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1063/5.0251153
- Primary Topic
- Advanced X-ray Imaging Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Royal Society
- Atomic Weapons Establishment
- Bundesministerium für Bildung und Forschung
- Engineering and Physical Sciences Research Council
- Science and Technology Facilities Council