Presentation
13 December 2020 Optimising tomographic reconstructor parameters for adaptive optics using real turbulence profiles
Author Affiliations +
Abstract
The performance of tomographic adaptive optics systems will depend on the vertical profile of turbulence in the atmosphere. Since the profile is changing over time, to maintain optimal correction the tomographic reconstructor must be continually updated with new profile information. Several reconstructor parameters must then be chosen to optimise performance given the constraints of real-time computing resources: the number of reconstructed layers, reoptimisation period and averaging time. We analyse the effect of changing these parameters by coupling fast Fourier-domain AO simulation with a large database of over 10,000 high resolution turbulence profiles measured by the Stereo-SCIDAR at Paranal.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ollie J.D. Farley, James Osborn, Richard Wilson, Thierry Fusco, Benoit Neichel, Tim Morris, and Carlos Correia "Optimising tomographic reconstructor parameters for adaptive optics using real turbulence profiles", Proc. SPIE 11448, Adaptive Optics Systems VII, 114481Y (13 December 2020); https://doi.org/10.1117/12.2561425
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KEYWORDS
Adaptive optics

Turbulence

Tomography

Real-time computing

Atmospheric modeling

Atmospheric optics

Computer simulations

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