26–28 Apr 2022
Europe/Berlin timezone
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Machine learning-based surrogate model construction for optics matching at the European XFEL

Not scheduled
2h
CFEL

CFEL

Poster CDL4 (Control of Accelerators) Poster session with buffet

Speaker

Zihan Zhu (MXL (XFEL))

Description

Beam optics matching is a daily routine in the operation of an X-ray free-electron laser facility. Usually, linear optics is employed to conduct the beam matching in the control room. However, the collective effects like space charge dominate the electron bunch in the low-energy region which decreases the accuracy of the existing tool. Therefore, we proposed a scheme to construct a surrogate model with nonlinear optics and collective effects to speed up the optics matching in the European XFEL injector section. Furthermore, this model also facilitates further research on beam dynamics for the space-charge dominated beam.

Primary author

Zihan Zhu (MXL (XFEL))

Co-authors

Ye Lining Chen (MXL (XFEL)) Dr Weilun Qin Matthias Scholz (MXL (XFEL)) Sergey Tomin (European XFEL)

Presentation materials

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