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AutoFocus: AI-driven alignment of nanofocusing X-ray mirror systems

Version 4 2023-09-09, 10:10
Version 3 2023-08-31, 09:46
Version 2 2023-08-17, 08:23
Version 1 2023-08-12, 10:11
preprint
posted on 2023-09-09, 10:10 authored by Luca Rebuffi, Saugat Kandel, Xianbo Shi, Runyu Zhang, Ross Harder, Wonsuk Cha, Matthew Highland, Matthew Frith, Lahsen Assoufid, Mathew Cherukara
We describe the application of aan AI-driven system to autonomously align and focus complex x-ray mirror systems . The system has been developed and studied on a digital twin of nanofocusing X-ray beamlines, built using advanced optical simulation tools calibrated with wavefront sensing data collected at the beamline.We experimentally demonstrated that the system is systematically capable of positioning a focused beam on the sample, both by simulating the life cycle of the beamline with random perturbations due to typical variations in the light source and optical elements over time, and by conducting similar tests on an actual focusing system.

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Funder Name

Department of Energy, Office of Science, Office of Basic Energy Sciences (DE-AC02-06CH11357)

Preprint ID

107888

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