August 25, 2026 Software Open Access

Starke, Sebastian; Šmíd, Michal

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  <dc:creator>Starke, Sebastian</dc:creator>
  <dc:creator>Šmíd, Michal</dc:creator>
  <dc:date>2026-08-25</dc:date>
  <dc:description>This repository contains the sourcecode used to train neural networks for the removal of bremsstrahlung background from SAXS data. Also, it offers a script to apply trained models to new noisy data.</dc:description>
  <dc:identifier>https://rodare.hzdr.de/record/4976</dc:identifier>
  <dc:identifier>10.14278/rodare.4976</dc:identifier>
  <dc:identifier>oai:rodare.hzdr.de:4976</dc:identifier>
  <dc:relation>url:https://github.com/Helmholtz-AI-Matter/bremsstrahlung_denoising/tree/v0.1.0</dc:relation>
  <dc:relation>url:https://www.hzdr.de/publications/Publ-37977</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/record/4956</dc:relation>
  <dc:relation>url:https://www.hzdr.de/publications/Publ-43791</dc:relation>
  <dc:relation>doi:10.14278/rodare.4975</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://opensource.org/licenses/MIT</dc:rights>
  <dc:title>Removal of bremsstrahlung background from SAXS signals with deep neural networks: sourcecode</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>software</dc:type>
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