Presentation
29 August 2022 Super-resolution wavefront reconstruction in adaptive-optics with pyramid sensors
Author Affiliations +
Abstract
“Super-resolution” (SR) refers to a combination of optical design and signal processing techniques jointly employed to obtain reconstructed wave-fronts at a higher-resolution from multiple low-resolution samples, overcoming the inherent limitations of the latter. After compelling performance gain obtained both in simulations and on-sky [presented at this conference] using Shack-Hartmann wave-front sensors (WFS) with laser guide-stars, we broaden its application domain to pyramid (P-)WFS. We revisit the analytic P-WFS diffraction model to show the “what, how, when and why” SR can be employed, evaluating its gains under turbulent and non-turbulent (e.g. pupil fragmentation) conditions. Results: We show that a super-resolved P-WFS is more resilient to mis-registration, lifts alignment requirements and improves performance (against alialiasing and other spurious modes AOsystems are poorly sensitive to) with only a factor up to 2 increased computational burden.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Carlos M. Correia, Jean-François Sauvage, Sylvain Oberti, Benoît Neichel, Thierry Fusco, Charlotte Bond, Vincent Chambouleyron, Nicolas Levraud, Noah Schwartz, Markus Feldt, and Thomas Bertram "Super-resolution wavefront reconstruction in adaptive-optics with pyramid sensors", Proc. SPIE 12185, Adaptive Optics Systems VIII, 121850J (29 August 2022); https://doi.org/10.1117/12.2632753
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KEYWORDS
Super resolution

Sensors

Wavefront reconstruction

Lawrencium

Diffraction

Optical design

Optical simulations

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