most citedOffset Finding of Beamline Parameters on the METRIXS Beamline at BESSY II Using Machine Learning

1 citations · 2 across the 2 of their papers we have counts for

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2 papers

physics.acc-ph2025★ 1 cited

Offset Finding of Beamline Parameters on the METRIXS Beamline at BESSY II Using Machine Learning

David Meier, Thomas Zeschke, Peter Feuer-Forson +3

Beamline alignment is challenging as the beamline components must be set up ideally so that the rays follow the desired optical path. Automated methods using a digital twin allow f…

physics.data-an2022★ 1 cited

Unsupervised real-world knowledge extraction via disentangled variational autoencoders for photon diagnostics

Gregor Hartmann, Gesa Goetzke, Stefan Düsterer +9

We present real-world data processing on measured electron time-of-flight data via neural networks. Specifically, the use of disentangled variational autoencoders on data from a di…