July 14, 2026 Software Open Access

Starke, Sebastian; Šmíd, Michal; Steinbach, Peter

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{
  "id": "4786", 
  "type": "article", 
  "DOI": "10.14278/rodare.4786", 
  "title": "Bremsstrahlung Denoising Software for X-ray Data Using Equivariant Neural Networks", 
  "author": [
    {
      "family": "Starke, Sebastian"
    }, 
    {
      "family": "\u0160m\u00edd, Michal"
    }, 
    {
      "family": "Steinbach, Peter"
    }
  ], 
  "version": "1.0", 
  "issued": {
    "date-parts": [
      [
        2026, 
        7, 
        14
      ]
    ]
  }, 
  "abstract": "<p>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.</p>", 
  "publisher": "Rodare"
}