Paper
5 July 2000 Large Binocular Telescope image restoration using simulated adaptively corrected point-spread functions
Serge Correia, Marcel Carbillet, Andrea Richichi, Mario Bertero, Patrizia Boccacci
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Abstract
In this paper we present simulations of Large Binocular Telescope image reconstruction carried out on different types of scientific objects. The set of Adaptive Optics- corrected point-spread functions (AO-corrected PSFs) used was generated by means of the Code for Adaptive Optics Systems (CAOS 2.0). For clarity only one restoration method was applied to the simulated data, namely the extension of the Lucy-Richardson algorithm, also called ML-EM (Maximum Likelihood--Expectation Maximization). When possible we evaluated the quality of the restorations obtained both by astrometric and photometric analysis. By comparison with results obtained using analytical PSFs, we point out the effect induced by the AO correction on the precision of the retrieved astrometric and photometric parameters or on the morphology of the reconstructed object.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Serge Correia, Marcel Carbillet, Andrea Richichi, Mario Bertero, and Patrizia Boccacci "Large Binocular Telescope image restoration using simulated adaptively corrected point-spread functions", Proc. SPIE 4006, Interferometry in Optical Astronomy, (5 July 2000); https://doi.org/10.1117/12.390265
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Cited by 3 scholarly publications.
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KEYWORDS
Point spread functions

Stars

Image restoration

Telescopes

Adaptive optics

Binary data

Deconvolution

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