Fast Tomographic Reconstruction of Atmospheric Turbulence from Micro-Lens Imagery.

摘要

We consider using data acquired from a micro-lens array through which multiple images of the full field-of-view of an astronomical target are formed to attempt to reconstruct the 3-D wave front for the observations. This opens the door for both a beacon-less wave front sensor and imaging of fields-of- view substantially larger than the isoplanatic angle. The reconstruction problem can be modeled as a large-scale linear inverse problem, but standard algorithms used for 3-D computed tomography (CT) reconstruction cannot be applied because measured data are only taken from limited angular range, leaving entire regions of the frequency space un-sampled. However, we show that there is substantial structure in the mathematical model that can be exploited to obtain a robust algorithm that is amenable to efficient implementations.