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Predictive learn and apply: MAVIS application - apply

Authors :
Francois Rigaut
Hao Zhang
José A. De Doná
Nicolas Doucet
Damien Gratadour
Jesse Cranney
Yuxi Hong
David E. Keyes
Visa Korkiakoski
Hatem Ltaief
Source :
Adaptive Optics Systems VII.
Publication Year :
2020
Publisher :
SPIE, 2020.

Abstract

The Learn and Apply reconstruction scheme uses the knowledge of atmospheric turbulence to generate a tomographic reconstructor, and its performance is enhanced by the real-time identification of the atmosphere and the wind profile. In this paper we propose a turbulence profiling method that is driven by the atmospheric model. The vertical intensity distribution of turbulence, wind speed and wind direction can be simultaneously estimated from the Laser Guide Star measurements. We introduce the implementation of such a method on a GPU accelerated non-linear least-squares solver, which significantly increases the computation efficiency. Finally, we present simulation results to demonstrate the convergence quality from numerically generated telemetry, the end-to-end Adaptive Optics simulation results, and a time-to-solution analysis, all based on the MAVIS system design.

Details

Database :
OpenAIRE
Journal :
Adaptive Optics Systems VII
Accession number :
edsair.doi...........d4853805ec1095f9ac43ba1f2188007b
Full Text :
https://doi.org/10.1117/12.2561914