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Fast Tomographic Reconstruction of Atmospheric Turbulence from Micro-Lens Imagery
EMORY UNIV ATLANTA GA DEPT OF MATHEMATICS AND COMPUTER SCIENCE
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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.
APPROVED FOR PUBLIC RELEASE