Bonn 2025 – scientific programme
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MO: Fachverband Molekülphysik
MO 7: Attosecond Physics I (joint session A/MO)
MO 7.2: Talk
Tuesday, March 11, 2025, 11:30–11:45, GrHS Mathe
Towards AI-enhanced online-characterization of ultrashort X-ray free-electron laser pulses — •Thorsten Otto1,2,4, Kristina Dingel2, Lars Funke3, Sara Savio3,4, Lasse Wülfing3,4, Bernhard Sick2, Wolfram Helml3, and Markus Ilchen1,4 — 1Deutsches Elektronen-Synchrotron DESY, Notkestraße 85, 22607 Hamburg, Germany — 2University of Kassel, Intelligent Embedded Systems, Wilhelmshöher Allee 73, 34121 Kassel, Germany — 3Technische Universität Dortmund, Fakultät für Physik, Maria-Göppert-Mayer-Straße, 44227 Dortmund, Germany — 4Universität Hamburg, Institut für Experimentalphysik, Luruper Chaussee 149 22761 Hamburg
X-ray free-electron lasers provide ultrashort X-ray pulses with durations typically in the order of femtoseconds, but recently even entering the attosecond regime. The technological evolution of XFELs towards well-controllable light sources for precise metrology of ultrafast processes can only be achieved using new diagnostic capabilities for characterizing X-ray pulses at the attosecond frontier. The spectroscopic technique of photoelectron angular streaking has successfully proven how to non-destructively retrieve the exact time-energy structure of XFEL pulses on a single-shot basis. By using deep learning algorithms, we show how this technique can be leveraged from its proof-of-principle stage towards routine diagnostics at XFELs providing precise feedback in real time.
Keywords: Free-electron laser; Angular streaking; Online pulse characterization; Artificial intelligence; Machine learning