Physics – Optics
Scientific paper
Aug 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005spie.5903..248n&link_type=abstract
Astronomical Adaptive Optics Systems and Applications II. Edited by Tyson, Robert K.; Lloyd-Hart, Michael. Proceedings of the
Physics
Optics
1
Scientific paper
Adaptive optics enable large telescopes to provide diffraction limited images, but their corrected field is restrained by the angular decorrelation of the turbulent wave-fronts. However many scientific goals would benefit a wide and uniformly corrected field, even with a partial correction. Ground Layer Adaptive Optics systems are supposed to provide such a correction by compensating the lower part of the atmosphere only. Indeed this layer is in the same time highly turbulent and isoplanatic on a rather wide field. In such a system the wave-front analysis is a critical issue. Measuring the ground layer turbulence requires multi-object wave-front analysis. Two multi-object wave-front sensing concepts have been proposed so far, derived from multi conjugate adaptive optics. They are the star oriented and the layer oriented approaches. A criterion for the analytical study of both concepts performance had been proposed in a previous presentation. First results on the behavior one can expect from one concept or the other had been given then. Here is presented a study made by improving the analytical model and completing its results with the ones of a numerical model which accounts for AO limitations that are uneasy to insert in an analytical formalism. Results are presented that highlight the advantages and drawbacks of each wave-front sensing concepts and the interest of optimizing them.
Beuzit Jean Luc
Fusco Th.
Michau Vincent
Nicolle Magali
Rousset Gabriel
No associations
LandOfFree
Performance analysis of multi-object wave-front sensing concepts for GLAO does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Performance analysis of multi-object wave-front sensing concepts for GLAO, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Performance analysis of multi-object wave-front sensing concepts for GLAO will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-802206