AI-driven real-time optics control system to achieve aberration-free coherent wavefronts at fourth-generation synchrotron radiation and free electron laser beamlines

Luca Rebuffi; Xianbo Shi; Runyu Zhang; Matthew J. Highland; Matthew G. Frith; Wonsuk Cha; Ross J. Harder; Saugat Kandel; Mathew J. Cherukara; Lahsen Assoufid

doi:10.1117/12.2677457

5 October 2023 AI-driven real-time optics control system to achieve aberration-free coherent wavefronts at fourth-generation synchrotron radiation and free electron laser beamlines

Luca Rebuffi, Xianbo Shi, Runyu Zhang, Matthew J. Highland, Matthew G. Frith, Wonsuk Cha, Ross J. Harder, Saugat Kandel, Mathew J. Cherukara, Lahsen Assoufid

Author Affiliations +

Proceedings Volume 12697, Advances in Computational Methods for X-Ray Optics VI; 126970C (2023) https://doi.org/10.1117/12.2677457
Event: SPIE Optical Engineering + Applications, 2023, San Diego, California, United States

Abstract

In experiments utilizing fourth-generation synchrotron radiation and Free Electron Laser (FEL) beamlines, a primary challenge for X-ray optical elements is to achieve and maintain high-intensity focused x-ray beams with near-perfect wavefront quality and high stability. These optical elements inherently demand more stringent specifications than those for other applications because of the shorter wavelength and the ultra-small emittance of the radiation beams from these sources. Coherent photons from diffraction-limited light sources further underscore the necessity for a controlled wavefront. Maintaining a uniform wavefront is crucial for phase-sensitive imaging techniques and for various coherent x-ray scattering experiments, such as tomography, coherent x-ray diffraction imaging, x-ray photon correlation spectroscopy and coherent surface scattering imaging. Therefore, x-ray optics must be manufactured close to ideal mathematical shapes, automatically align and focus beams according to experimental needs, and offer real-time correction to wavefront deformations. At the Advanced Photon Source (APS), we have demonstrated the application of a neural network model to automatically control deformable mirrors and the use of Bayesian optimization with Gaussian processes to align and stabilize focusing optical systems.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Luca Rebuffi, Xianbo Shi, Runyu Zhang, Matthew J. Highland, Matthew G. Frith, Wonsuk Cha, Ross J. Harder, Saugat Kandel, Mathew J. Cherukara, and Lahsen Assoufid "AI-driven real-time optics control system to achieve aberration-free coherent wavefronts at fourth-generation synchrotron radiation and free electron laser beamlines", Proc. SPIE 12697, Advances in Computational Methods for X-Ray Optics VI, 126970C (5 October 2023); https://doi.org/10.1117/12.2677457

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KEYWORDS

Wavefronts

Control systems

X-rays

Adaptive optics

Optical alignment

Synchrotron radiation

Wavefront aberrations

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