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

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 diagnostic instrument for online wavelength monitoring at the free electron laser FLASH in Hamburg. Without a-priori knowl...

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Detalles Bibliográficos
Autores principales: Hartmann, Gregor, Goetzke, Gesa, Düsterer, Stefan, Feuer-Forson, Peter, Lever, Fabiano, Meier, David, Möller, Felix, Vera Ramirez, Luis, Guehr, Markus, Tiedtke, Kai, Viefhaus, Jens, Braune, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715554/
https://www.ncbi.nlm.nih.gov/pubmed/36456706
http://dx.doi.org/10.1038/s41598-022-25249-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715554/
https://www.ncbi.nlm.nih.gov/pubmed/36456706
http://dx.doi.org/10.1038/s41598-022-25249-4

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