FEL2026 - 42nd International Free Electron Laser Conference

Session

FEL Theory and Machine Learning (Invited)

MOZ

24 Aug 2026, 14:00

26. Space Charge Studies for Enhanced SASE at the Soft X-ray Beamline Athos at SwissFEL (MOZ01)

Sven Reiche (Paul Scherrer Institute)

24/08/2026, 14:00

Session 3: FEL theory and Machine Learning

Invited Oral Presentation

We present studies on enhanced SASE at the soft X-ray beamline Athos at SwissFEL. The generation of a series of current spikes with 790 nm spacing is injected into the Athos undulator beamline. Due to strong space charge forces the optimum performance occurs with a strong positive taper of the undulator field. There is a clear modal structure in the observed spectra, indicating the presence of...

152. Homogeneity and Criticality of the time-dependent FEL action (MOZ02)

Dr Giovanni Perosa (European X-Ray Free-Electron Laser)

24/08/2026, 14:25

Session 3: FEL theory and Machine Learning

Invited Oral Presentation

We derive a resonant effective action for the time-dependent free-electron laser. The action treats longitudinal time dependence and finite-bunch effect within a single self-consistent framework. After canonical normalization, the action is shown to be homogeneous under Pierce parameter rescaling. Such property directly yields scaling laws for the field, without explicitly finding or solving...

31. Neural networks and differentiable-simulation based complete 6-dimensional phase space reconstruction using standard accelerator elements (MOZ03)

Seongyeol Kim (Pohang Accelerator Laboratory)

24/08/2026, 14:50

Session 3: FEL theory and Machine Learning

Invited Oral Presentation

Control of 6-dimensional beam phase space is one of the most important steps for high-brightness X-ray Free Electron Lasers (XFELs). Such beam manipulation can be properly performed through accurate beam diagnostics. Recently, generative phase space reconstruction (GPSR) based on neural networks and differentiable simulations has been developed for robust phase space diagnostics, including...

188. Overview and outlook of applying AI/ML to accelerator and FEL research (MOZ04)

Auralee Edelen (SLAC National Accelerator Laboratory)

24/08/2026, 15:15

Session 3: FEL theory and Machine Learning

Invited Oral Presentation

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