Accession Number:

ADA616955

Title:

Fast Tomographic Reconstruction of Atmospheric Turbulence from Micro-Lens Imagery

Descriptive Note:

Conference paper

Corporate Author:

EMORY UNIV ATLANTA GA DEPT OF MATHEMATICS AND COMPUTER SCIENCE

Personal Author(s):

• Nagy, James G.
• Hart, Michael
• Jefferies, Stuart
• Hope, Douglas

Report Date:

2014-09-01

Pagination or Media Count:

10.0

Abstract:

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.

Descriptors:

• *TURBULENCE
• ASTRONOMY
• IMAGES
• MATHEMATICAL MODELS
• TOMOGRAPHY

Subject Categories:

• Fluid Mechanics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE