Sparse-matrix wavefront reconstruction: simulations and experiments

Fang Shi; Douglas G. MacMartin; Mitchell Troy; Gary L. Brack; Rick S. Burruss; Richard G. Dekany

doi:10.1117/12.457134

7 February 2003 Sparse-matrix wavefront reconstruction: simulations and experiments

Fang Shi, Douglas G. MacMartin, Mitchell Troy, Gary L. Brack, Rick S. Burruss, Richard G. Dekany

Proceedings Volume 4839, Adaptive Optical System Technologies II; (2003) https://doi.org/10.1117/12.457134
Event: Astronomical Telescopes and Instrumentation, 2002, Waikoloa, Hawai'i, United States

Abstract

Adaptive optics systems with Shack-Hartmann wavefront sensors require reconstruction of the atmospheric phase error from subaperture slope measurements, with every sensor in the array being used in the computation of each actuator command. This fully populated reconstruction matrix can result in a significant computational burden for adaptive optics systems with large numbers of actuators. A method for generating sparse wavefront reconstruction matrices for adaptive optics is proposed. The method exploits the relevance of nearby subaperture slope measurements for control of an individual actuator, and relies upon the limited extent of the influence function for a zonal deformable mirror. Relying only on nearby sensor information can significantly reduce the calculation time for wavefront reconstruction. In addition, a hierarchic controller is proposed to recover some of the global wavefront information. The performance of these sparse wavefront reconstruction matrices was evaluated in simulation, and tested on the Palomar Adaptive Optics System. This paper presents some initial results from the simulations and experiments.

Citation Download Citation

Fang Shi, Douglas G. MacMartin, Mitchell Troy, Gary L. Brack, Rick S. Burruss, and Richard G. Dekany "Sparse-matrix wavefront reconstruction: simulations and experiments", Proc. SPIE 4839, Adaptive Optical System Technologies II, (7 February 2003); https://doi.org/10.1117/12.457134

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