Speckle statistics in adaptive optics images at visible wavelengths

Marco Stangalini, Fernando Pedichini, Enrico Pinna, Julian Christou, John Hill, Alfio Puglisi, Vanessa Bailey, Mauro Centrone, Dario Del Moro, Simone Esposito, Fabrizio Fiore, Emanuele Giallongo, Phil Hinz, Amali Vaz

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


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.

Original languageEnglish (US)
Article number25001
JournalJournal of Astronomical Telescopes, Instruments, and Systems
Issue number2
StatePublished - 2017


  • adaptive optics
  • atmospheric optics
  • speckle phenomena.

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Control and Systems Engineering
  • Instrumentation
  • Astronomy and Astrophysics
  • Mechanical Engineering
  • Space and Planetary Science


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