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

被引：5

作者：

Rebuffi, Luca ^{[1
]}

Kandel, Saugat ^{[1
]}

Shi, Xianbo ^{[1
]}

Zhang, Runyu ^{[1
]}

Harder, Ross J. ^{[1
]}

Cha, Wonsuk ^{[1
]}

Highland, Matthew J. ^{[1
]}

Frith, Matthew G. ^{[1
]}

Assoufid, Lahsen ^{[1
]}

Cherukara, Mathew J. ^{[1
]}

机构：

[1] Argonne Natl Lab, 9700 S Cass Ave, Lemont, IL 60439 USA

来源：

OPTICS EXPRESS | 2023年 / 31卷 / 24期

关键词：

OPTICS; PRESERVATION;

D O I：

10.1364/OE.505289

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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.(c) 2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

引用

页码：39514 / 39527

页数：14

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