Speckle statistics in adaptive optics images at visible wavelengths
Del Moro, Dario
AffiliationUniv Arizona, LBTO
Univ Arizona, Steward Observ
MetadataShow full item record
CitationMarco 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
Rights© 2017 Society of Photo-Optical Instrumentation Engineers
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AbstractResidual 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. (C) 2017 Society of PhotoOptical Instrumentation Engineers (SPIE).
VersionFinal published version
SponsorsAdaptive Optics National Laboratory of Italy; European Commission