1 citations · 3 across the 5 of their papers we have counts for
5 papers
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…
Inverse Surrogate Model of a Soft X-Ray Spectrometer using Domain Adaptation
Enrico Ahlers, Peter Feuer-Forson, Gregor Hartmann +3
In this study, we present a method to create a robust inverse surrogate model for a soft X-ray spectrometer. During a beamtime at an electron storage ring, such as BESSY II, instru…
Reconstructing Time-of-Flight Detector Values of Angular Streaking Using Machine Learning
David Meier, Wolfram Helml, Thorsten Otto +3
Angular streaking experiments enable for experimentation in the attosecond regions. However, the deployed Time-of-flight detectors are susceptible to noise and failure. These short…
Interplay of protection and damage through intermolecular processes in the decay of electronic core holes in microsolvated organic molecules
Dana Bloß, Nikolai V. Kryzhevoi, Jonas Maurmann +11
Soft X-ray irradiation of molecules causes electronic core-level vacancies through photoelectronemission. In light elements, such as C, N, or O, which are abundant in the biosphere…
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…