“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.
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