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physics.data-an2025★ 1 cited
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…
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…