A review of super-resolution enabling tomographic reconstructors in adaptive optics

Carlos M. Correia; Pierre Jouve; Cédric Taïssir Héritier; Guido Agapito; Tom Major; Jesse Cranney; Yoshito H. Ono; Sylvain Oberti; Avinash Surendran

doi:10.1117/12.3020060

28 August 2024 A review of super-resolution enabling tomographic reconstructors in adaptive optics

Carlos M. Correia, Pierre Jouve, Cédric Taïssir Héritier, Guido Agapito, Tom Major, Jesse Cranney, Yoshito H. Ono, Sylvain Oberti, Avinash Surendran

Author Affiliations +

Proceedings Volume 13097, Adaptive Optics Systems IX; 130970Z (2024) https://doi.org/10.1117/12.3020060
Event: SPIE Astronomical Telescopes + Instrumentation, 2024, Yokohama, Japan

Abstract

Recent work by Oberti+22 argued and showed that classical astronomical adaptive-optics tomography performance can be further improved by carefully designing and configuring the system to encompass and exploit any built-in super-resolution (SR) capabilities. Our goal now is to further materialise the concept by outlining the key models to compute SR-enabling tomographic reconstructors for AO. For that we assume the form of a review paper where we (i) clarify how model-and-deploy static reconstructors arise naturally from the solution of the inverse problem and how to make them cope with closed-loop systems, (ii) how this solution is obtained as a limiting-case of a properly-conceived optimal stochastic control problem, (iii) review the two forms of the minimum-mean-squared-error (MMSE) tomographic reconstructors, highlighting the necessary adaptations to accommodate super-resolution, (iii) review the implementation in either dense-format vector-matrix-multiplication or sparse iterative forms and (iv) discuss the implications for runtime and off-line real-time implementations. We illustrate our examples with simulations/on-sky results when possible for 10m and 40m-scale systems.

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Carlos M. Correia, Pierre Jouve, Cédric Taïssir Héritier, Guido Agapito, Tom Major, Jesse Cranney, Yoshito H. Ono, Sylvain Oberti, and Avinash Surendran "A review of super-resolution enabling tomographic reconstructors in adaptive optics", Proc. SPIE 13097, Adaptive Optics Systems IX, 130970Z (28 August 2024); https://doi.org/10.1117/12.3020060

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