Centroiding and extraction of tip/tilt information from nonlinear curvature wavefront sensor measurements

Caleb G. Abbott; Justin R. Crepp; Stanimir O. Letchev; Connor M. Smith

doi:10.1117/12.3018868

27 August 2024 Centroiding and extraction of tip/tilt information from nonlinear curvature wavefront sensor measurements

Caleb G. Abbott, Justin R. Crepp, Stanimir O. Letchev, Connor M. Smith

Author Affiliations +

Proceedings Volume 13097, Adaptive Optics Systems IX; 130973X (2024) https://doi.org/10.1117/12.3018868
Event: SPIE Astronomical Telescopes + Instrumentation, 2024, Yokohama, Japan

Conference Poster

Abstract

The nonlinear curvature wavefront sensor (nlCWFS) uses multiple (typically four) out-of-focus images to reconstruct the phase and amplitude of a propagating light beam. Because these images are located between the pupil and focal planes, they contain tip/tilt information. Rather than using a separate sensor to measure image locations, it would be beneficial to extract tip/tilt information directly and routinely as part of the reconstruction process. In the presence of atmospheric turbulence, recovering precise centroid offsets for each out-of-focus image becomes a dynamic process as image structure is altered by changing aberrations. We examine several tip/tilt extraction methods and compare their precision and accuracy using numerical simulations. We find that the nlCWFS outer measurement planes confer more accurate and reliable tip/tilt information than the inner measurement planes, due to their larger geometric lever arm. However, in practice, finite field of view (detector region of interest) effects bias tip/tilt retrieval when using the outer planes due to diffraction. Using knowledge of the z-distance to each plane, we find that applying a best-fit linear model to multiple image centroid locations can offer fast and accurate tip/tilt mode retrieval. For the most demanding applications, a non-linear tip/tilt extraction method that self-consistently uses the speckle field may need to be developed.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Caleb G. Abbott, Justin R. Crepp, Stanimir O. Letchev, and Connor M. Smith "Centroiding and extraction of tip/tilt information from nonlinear curvature wavefront sensor measurements", Proc. SPIE 13097, Adaptive Optics Systems IX, 130973X (27 August 2024); https://doi.org/10.1117/12.3018868

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