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27 July 2016 Turbulence profiling for adaptive optics tomographic reconstructors
Douglas J. Laidlaw, James Osborn, Richard W. Wilson, Timothy J. Morris, Timothy Butterley, Andrew P. Reeves, Matthew J. Townson, Éric Gendron, Fabrice Vidal, Carine Morel
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Proceedings Volume 9909, Adaptive Optics Systems V; 99093I (2016) https://doi.org/10.1117/12.2233323
Event: SPIE Astronomical Telescopes + Instrumentation, 2016, Edinburgh, United Kingdom
Abstract
To approach optimal performance advanced Adaptive Optics (AO) systems deployed on ground-based telescopes must have accurate knowledge of atmospheric turbulence as a function of altitude. Stereo-SCIDAR is a high-resolution stereoscopic instrument dedicated to this measure. Here, its profiles are directly compared to internal AO telemetry atmospheric profiling techniques for CANARY (Vidal et al. 20141), a Multi-Object AO (MOAO) pathfinder on the William Herschel Telescope (WHT), La Palma. In total twenty datasets are analysed across July and October of 2014. Levenberg-Marquardt fitting algorithms dubbed Direct Fitting and Learn 2 Step (L2S; Martin 20142) are used in the recovery of profile information via covariance matrices - respectively attaining average Pearson product-moment correlation coefficients with stereo-SCIDAR of 0.2 and 0.74. By excluding the measure of covariance between orthogonal Wavefront Sensor (WFS) slopes these results have revised values of 0.65 and 0.2. A data analysis technique that combines L2S and SLODAR is subsequently introduced that achieves a correlation coefficient of 0.76.
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Douglas J. Laidlaw, James Osborn, Richard W. Wilson, Timothy J. Morris, Timothy Butterley, Andrew P. Reeves, Matthew J. Townson, Éric Gendron, Fabrice Vidal, and Carine Morel "Turbulence profiling for adaptive optics tomographic reconstructors", Proc. SPIE 9909, Adaptive Optics Systems V, 99093I (27 July 2016); https://doi.org/10.1117/12.2233323
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KEYWORDS
Adaptive optics
Adaptive optics
Turbulence
Turbulence
Matrices
Telescopes
Data analysis
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