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Article

A Framework for Iterative Phase Retrieval Technique Integration into Atmospheric Adaptive Optics—Part I: Wavefront Sensing in Strong Scintillations

by
Mikhail A. Vorontsov
1,2,* and
Ernst Polnau
1
1
Electro-Optics & Photonics Department, School of Engineering, University of Dayton, 300 College Park, Dayton, OH 45469, USA
2
Optonica LLC, 2901 River End Ct., Spring Valley, OH 45370, USA
*
Author to whom correspondence should be addressed.
Photonics 2024, 11(9), 786; https://doi.org/10.3390/photonics11090786 (registering DOI)
Submission received: 23 July 2024 / Revised: 13 August 2024 / Accepted: 21 August 2024 / Published: 23 August 2024
(This article belongs to the Special Issue Challenges and Future Directions in Adaptive Optics Technology)

Abstract

The objective of this study, which is divided into two parts, is twofold: to address long-standing challenges in the sensing of atmospheric turbulence-induced wavefront aberrations under strong scintillation conditions via a comparative analysis of several basic scintillation-resistant wavefront sensing (SR-WFS) architectures and iterative phase retrieval (IPR) techniques (Part I, this paper), and to develop a framework for the potential integration of SR-WFS techniques into practical closed-loop non-astronomical atmospheric adaptive optics (AO) systems (Part II). In this paper, we consider basic SR-WFS mathematical models and phase retrieval algorithms, tradeoffs in sensor design and phase retrieval technique implementation, and methodologies for WFS parameter optimization and performance assessment. The analysis is based on wave-optics numerical simulations imitating realistic turbulence-induced phase aberrations and intensity scintillations, as well as optical field propagation inside the SR-WFSs. Several potential issues important for the practical implementation of SR-WFS and IPR techniques, such as the requirements for phase retrieval computational grid resolution, tolerance with respect to optical element misalignments, and the impact of camera noise and input light non-monochromaticity, are also considered. The results demonstrate that major wavefront sensing requirements desirable for AO operation under strong intensity scintillations can potentially be achieved by transitioning to novel SR-WFS architectures, based on iterative phase retrieval techniques.
Keywords: adaptive optics; wavefront sensing; atmospheric turbulence; laser beam propagation; numerical simulations adaptive optics; wavefront sensing; atmospheric turbulence; laser beam propagation; numerical simulations

Share and Cite

MDPI and ACS Style

Vorontsov, M.A.; Polnau, E. A Framework for Iterative Phase Retrieval Technique Integration into Atmospheric Adaptive Optics—Part I: Wavefront Sensing in Strong Scintillations. Photonics 2024, 11, 786. https://doi.org/10.3390/photonics11090786

AMA Style

Vorontsov MA, Polnau E. A Framework for Iterative Phase Retrieval Technique Integration into Atmospheric Adaptive Optics—Part I: Wavefront Sensing in Strong Scintillations. Photonics. 2024; 11(9):786. https://doi.org/10.3390/photonics11090786

Chicago/Turabian Style

Vorontsov, Mikhail A., and Ernst Polnau. 2024. "A Framework for Iterative Phase Retrieval Technique Integration into Atmospheric Adaptive Optics—Part I: Wavefront Sensing in Strong Scintillations" Photonics 11, no. 9: 786. https://doi.org/10.3390/photonics11090786

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