Stuart Jefferies, Georgia State University, Allister Knox, Georgia State University, Amar Dhada, Georgia State University, Caleb Abbott, Georgia State University, Douglas Hope, Hope Scientific Renaissance LLC
Keywords: Image restoration, aperture diversity,
Abstract:
Recent research has shown that imaging through atmospheric turbulence with 3-meter class telescope apertures is improved by partitioning the aperture into annuli. Here we show some preliminary results that suggest there is an optimal configuration for the partitioning that depends on the strength of the atmospheric turbulence conditions. This configuration can be predicted by maximizing the overall speckle transfer function for the multi-aperture system. These results suggest the use of dynamic aperture partitioning to provide a way to ensure the best data set is acquired for any given turbulence condition. Such dynamic partitioning could be achieved using a digital micro-mirror device (DMD).
Date of Conference: September 19-22, 2017
Track: Poster