Paper
13 September 2012 Experimental validation of optimization concepts for focal-plane image processing with adaptive optics
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Abstract
We show experimental results demonstrating the feasibility of an extremely fast sequential phase-diversity (SPD) algorithm for point sources. The algorithm can be implemented on a typical adaptive optics (AO) system to improve the wavefront reconstruction beyond the capabilities of a wavefront sensor by using the information from the imaging camera. The algorithm is based on a small-phase approximation enabling fast numerical implementation, and it finds the optimal wavefront correction by iteratively updating the deformable mirror. Our experiments were made at an AO-setup with a 37 actuator membrane mirror, and the results show that the algorithm finds an optimal image quality in 5–10 iterations, when the initial wavefront errors are typical non-common path aberrations having a magnitude of 1–1.5 rad rms. The results are in excellent agreement with corresponding numerical simulations.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Visa Korkiakoski, Christoph U. Keller, Niek Doelman, Rufus Fraanje, Raluca Andrei, and Michel Verhaegen "Experimental validation of optimization concepts for focal-plane image processing with adaptive optics", Proc. SPIE 8447, Adaptive Optics Systems III, 84475Z (13 September 2012); https://doi.org/10.1117/12.926266
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Cited by 7 scholarly publications.
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KEYWORDS
Adaptive optics

Wavefronts

Point spread functions

Mirrors

Actuators

Cameras

Error analysis

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