Software Open Access
Bremsstrahlung Denoising Software for X-ray Data Using Equivariant Neural Networks
Starke, Sebastian; Šmíd, Michal; Steinbach, Peter
Large ammount of energetic bremstrahlung is created in experiments where ultra high intensity laser interacts with solid targets. This constitutes a distinct background signal on detectors used in the experiment. Such background then can obscure the desired measured signal. We provide a tool which can distinguish this background from the useful signal. The first and prominent case where this was utilized is in the detection of Small angle x-ray scattering (SAXS) diagnostics at the HED instrument at European XFEL, but we believe this tool could find much broader usage.
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- Publication date:
- July 14, 2026
- DOI:
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- Related identifiers:
- Identical to:
https://www.hzdr.de/publications/Publ-43660 - Communities:
- License (for files):
- Creative Commons Attribution 4.0 International