Presentation
1 April 2022 Wavefront sensing with nonlinear optics
Author Affiliations +
Abstract
Wavefront sensing is essential for many applications related to imaging and remote sensing. Most of the existing methods of wavefront sensing are based on interferometry and rely on precise optical alignment, which are often hard or impossible to realize in a real-life setting. On the other hand, nonlinear optical conversion, such as second harmonic generation, is sensitive to the spatial phase information of the beam profile, and, as we have shown lately, can be optimized through external beam shaper. More recently, we have demonstrated that the inverse problem can be successfully solved by acquiring second harmonic images of the beam and retrieving through a computer algorithm, enhanced by machine learning, the incident beam's wavefront. In this report, I will outline our recent results in this field, discuss the sensitivity and acquisition speed of the newly proposed method and outline potential applications related to remote sensing and biological imaging.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vladislav V. Yakovlev "Wavefront sensing with nonlinear optics", Proc. SPIE PC11985, Nonlinear Frequency Generation and Conversion: Materials and Devices XXI, PC1198505 (1 April 2022); https://doi.org/10.1117/12.2615810
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KEYWORDS
Wavefront sensors

Nonlinear optics

Beam shaping

Remote sensing

Harmonic generation

Interferometry

Inverse problems

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