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13 September 2012 Tomographic wavefront error estimation and measurement for Raven, a multi-object adaptive optics demonstrator
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Abstract
Multi-Object Adaptive Optics (MOAO) is an open loop aproach to wide field AO which uses measurements from multiple guide stars (GS) to compute an estimate of the atmospheric turbulence in any direction within the GS asterism. Rather than trying to extend correction over the entire field as in Multi-Conjugate AO (MCAO), MOAO seeks only to generate high quality correction in specific directions with multiple deformable mirrors (DM), each driving the correction for an individual direction. A tomographic reconstructor uses the slopes sensed by the GS WFSs to estimate the atmospheric turbulence in the science directions. Raven is a MOAO science and technology demonstrator which is currently under development; testing of tomography algorithms is being carried out in order to begin verifying that the results predicted in simulation will be achievable with the real system.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kate Jackson, Carlos Correia, Olivier Lardière, David Andersen, and Colin Bradley "Tomographic wavefront error estimation and measurement for Raven, a multi-object adaptive optics demonstrator", Proc. SPIE 8447, Adaptive Optics Systems III, 84475F (13 September 2012); https://doi.org/10.1117/12.925865
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