Authors

Rosensteiner, Zhary, Neubauer, Ramlau, Obereder

Affiliations

Mathconsult GmbH (1,5) Insitut for Industrial Mathematics (2,3,4)

Abstract

In order to fulfill the real-time requirements for AO on ELTs, one has to either invest in (very) high performance hardware or spend some effort on the development of highly efficient reconstruction algorithms for wavefront sensors. The AAO (Austrian Adaptive Optics) team is involved in deriving wavefront reconstructors for SH- and Pyramid-WFS measurements utilizing the mathematical properties of the forward operators for these wavefront sensors. At the moment, we focus mainly on direct reconstructors with complexity O(n) (where n denotes the number of subapertures of the WFS) to make the reconstruction scalable for large telescopes. In this talk we will introduce a new algorithm, the Cumulative Reconstructor (CuRe), present its properties, namely error propagation of the method and the numerical effort for the reconstruction of the incoming wavefront, as well as first results concerning the quality of the method (dependent on different noise sources). Further improvements of the algorithm, especially a domain decomposition method for enhancing reconstruction quality and improving the overall speed of the algorithm will be presented and analyzed. A speed comparison with different wavefront reconstruction algorithms will be presented to point out the enormous gain of the new CuReD (Cumulative Reconstructor with Domain Decomposition) algorithm concerning numerical performance and applicability for real life telescope adaptive optics applications. In the outlook of the talk we will present first XAO results utilizing a variant of the CuReD for the reconstruction of modulated Pyramid WFS measurements.