2023
DOI: 10.1007/s41365-023-01282-4
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Deep learning for estimation of Kirkpatrick–Baez mirror alignment errors

Jia-Nan Xie,
Hui Jiang,
Ai-Guo Li
et al.
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Cited by 3 publications
(1 citation statement)
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“…This method can quickly switch between different X-ray wavefronts without blocking or attenuating the X-ray beam. Combined with machine learning, the deformable mirror shape control algorithm based on data-driven modeling is also attractive, and can achieve surface shape precision control close to the X-ray diffraction limit (Gunjala et al, 2023) and high-precision beam alignment (Xie et al, 2023).…”
Section: Resultsmentioning
confidence: 99%
“…This method can quickly switch between different X-ray wavefronts without blocking or attenuating the X-ray beam. Combined with machine learning, the deformable mirror shape control algorithm based on data-driven modeling is also attractive, and can achieve surface shape precision control close to the X-ray diffraction limit (Gunjala et al, 2023) and high-precision beam alignment (Xie et al, 2023).…”
Section: Resultsmentioning
confidence: 99%