Software Open Access
Starke, Sebastian; Šmíd, Michal; Steinbach, Peter
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<identifier identifierType="DOI">10.14278/rodare.4786</identifier>
<creators>
<creator>
<creatorName>Starke, Sebastian</creatorName>
<givenName>Sebastian</givenName>
<familyName>Starke</familyName>
<affiliation>HZDR</affiliation>
</creator>
<creator>
<creatorName>Šmíd, Michal</creatorName>
<givenName>Michal</givenName>
<familyName>Šmíd</familyName>
<affiliation>HZDR</affiliation>
</creator>
<creator>
<creatorName>Steinbach, Peter</creatorName>
<givenName>Peter</givenName>
<familyName>Steinbach</familyName>
<affiliation>HZDR</affiliation>
</creator>
</creators>
<titles>
<title>Bremsstrahlung Denoising Software for X-ray Data Using Equivariant Neural Networks</title>
</titles>
<publisher>Rodare</publisher>
<publicationYear>2026</publicationYear>
<dates>
<date dateType="Issued">2026-07-14</date>
</dates>
<resourceType resourceTypeGeneral="Software"/>
<alternateIdentifiers>
<alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/4786</alternateIdentifier>
</alternateIdentifiers>
<relatedIdentifiers>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-43660</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.4785</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/rodare</relatedIdentifier>
</relatedIdentifiers>
<version>1.0</version>
<rightsList>
<rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
<rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
</rightsList>
<descriptions>
<description descriptionType="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></description>
</descriptions>
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