Imaging, Spectroscopic, High-Contrast, and Interferometric Instrumentation

Speckle statistics in adaptive optics images at visible wavelengths

[+] Author Affiliations
Marco Stangalini, Fernando Pedichini, Fabrizio Fiore, Emanuele Giallongo

INAF-OAR, Astronomical Observatory of Rome, National Institute for Astrophysics, Monte Porzio Catone, Italy

ADONI Adaptive Optics National Lab of Italy, Italy

Enrico Pinna, Alfio Puglisi, Simone Esposito

ADONI Adaptive Optics National Lab of Italy, Italy

INAF-Arcetri Astrophysical Observatory of Florence, National Institute for Astrophysics, Florence, Italy

Julian Christou, John Hill

University of Arizona, LBTO, Tucson, Arizona United States

Vanessa Bailey

KIPAC-Stanford University, Stanford, California, United States

Mauro Centrone

INAF-OAR, Astronomical Observatory of Rome, National Institute for Astrophysics, Monte Porzio Catone, Italy

Dario Del Moro

Universitá di Roma Tor Vergata, Rome, Italy

Phil Hinz, Amali Vaz

University of Arizona, CAAO, Steward Observatory, Tucson, Arizona, United States

J. Astron. Telesc. Instrum. Syst. 3(2), 025001 (Apr 25, 2017). doi:10.1117/1.JATIS.3.2.025001
History: Received October 14, 2016; Accepted April 10, 2017
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Abstract.  Residual speckles in adaptive optics (AO) images represent a well-known limitation on the achievement of the contrast needed for faint source detection. Speckles in AO imagery can be the result of either residual atmospheric aberrations, not corrected by the AO, or slowly evolving aberrations induced by the optical system. We take advantage of the high temporal cadence (1 ms) of the data acquired by the System for Coronagraphy with High-order Adaptive Optics from R to K bands-VIS forerunner experiment at the Large Binocular Telescope to characterize the AO residual speckles at visible wavelengths. An accurate knowledge of the speckle pattern and its dynamics is of paramount importance for the application of methods aimed at their mitigation. By means of both an automatic identification software and information theory, we study the main statistical properties of AO residuals and their dynamics. We therefore provide a speckle characterization that can be incorporated into numerical simulations to increase their realism and to optimize the performances of both real-time and postprocessing techniques aimed at the reduction of the speckle noise.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Marco Stangalini ; Fernando Pedichini ; Enrico Pinna ; Julian Christou ; John Hill, et al.
"Speckle statistics in adaptive optics images at visible wavelengths", J. Astron. Telesc. Instrum. Syst. 3(2), 025001 (Apr 25, 2017). ; http://dx.doi.org/10.1117/1.JATIS.3.2.025001


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