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DOE OSTI · 2545894

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

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

We describe the application of an AI-driven system to autonomously align complex x-ray-focusing mirror systems, including mirrors systems with variable focus spot sizes. 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 reliably capable of positioning a focused beam on the sample, both by simulating the variation of a beamline with random perturbations due to typical changes in the light source and optical elements over time, and by conducting similar tests on an actual focusing mirror system.

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BibTeXRIS

Rebuffi, Luca, Kandel, Saugat, Shi, Xianbo, Zhang, Runyu, Harder, Ross J., Cha, Wonsuk, Highland, Matthew J., Frith, Matthew G., Assoufid, Lahsen, Cherukara, Mathew J.. 2023-11-06. AutoFocus: AI-driven alignment of nanofocusing X-ray mirror systems. https://doi.org/10.1364/oe.505289

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