Generalized aliasing and its implications in modal gain optimization for multi-conjugate adaptive optics |
| |
Authors: | Quirós-Pacheco Fernando Conan Jean-Marc Petit Cyril |
| |
Affiliation: | The Blackett Laboratory, Imperial College London, London SW7 2BW, UK. fquiros@arcetri.astro.it |
| |
Abstract: | The error of generalized aliasing associated with the limited sampling of the atmospheric turbulence volume due to the finite number of wavefront sensing directions in wide-field-of-view adaptive optics is formally defined. Following a modal approach, we extend the direct problem formulation of star-oriented multi-conjugate adaptive optics (MCAO) to model and quantify this error analytically. We show that the turbulence estimation with the least-squares reconstructor is subject to strong generalized aliasing, in particular affecting the badly seen modes, whereas with the minimum-mean-square-error reconstructor the estimation is little affected. Finally, we show that the application of modal gain optimization techniques in closed-loop MCAO systems is jeopardized by the generalized aliasing error. |
| |
Keywords: | |
本文献已被 PubMed 等数据库收录! |
|