Paper
20 October 2004 Deconvolution methods for LINC/NIRVANA data reduction
Barbara Anconelli, Mario Bertero, Patrizia Boccacci, Marcel Carbillet, Henri Lanteri, Serge Correia
Author Affiliations +
Abstract
LINC/NIRVANA (LN) is the German-Italian beam combiner for the Large Binocular Telescope (LBT). It is a Fizeau interferometer and it will provide multiple images of the same target corresponding to different orientations of the baseline. For each one of these images the resolution is not uniform over the field since it is the resolution of a 22.8m mirror in the direction of the baseline and that of a 8.4m mirror in the orthogonal one. Therefore a unique high-resolution image can only be obtained by means of deconvolution methods. Four-years ongoing work of our group on this problem has already clarified the effects of partial adaptive optics corrections and partial coverage of the u,v plane and has produced the Software Package AIRY, a set of modules IDL-based and CAOS-compatible, which can be used for simulation and/or deconvolution of multiple images from the LBT instrument LN. In this paper we present a general approach to the design of methods for the simultaneous deconvolution of multiple images of the same object. These can include both quick-look methods, to be used for routinely process LN images, and ad-hoc methods for specific classes of astronomical objects. We describe several examples of these methods whose implementation and validation is in progress. Finally we present the last version of the Software Package AIRY.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Barbara Anconelli, Mario Bertero, Patrizia Boccacci, Marcel Carbillet, Henri Lanteri, and Serge Correia "Deconvolution methods for LINC/NIRVANA data reduction", Proc. SPIE 5491, New Frontiers in Stellar Interferometry, (20 October 2004); https://doi.org/10.1117/12.551515
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Cited by 6 scholarly publications.
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KEYWORDS
Deconvolution

Point spread functions

Stars

Image processing

Image resolution

Telescopes

Adaptive optics

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