Paper
27 July 2016 Speckle statistics in adaptive optics images at visible wavelengths
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Abstract
Residual speckles in adaptive optics (AO) images represent a well known limitation to the achievement of the contrast needed for faint stellar companions 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. In this work we take advantage of new high temporal cadence (1 ms) data acquired by the SHARK forerunner experiment at the Large Binocular Telescope (LBT), to characterize the AO residual speckles at visible waveleghts. By means of an automatic identification of speckles, we study the main statistical properties of AO residuals. In addition, we also study the memory of the process, and thus the clearance time of the atmospheric aberrations, by using information Theory. These information are useful for increasing the realism of numerical simulations aimed at assessing the instrumental performances, and for the application of post-processing techniques on AO imagery.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marco Stangalini, Fernando Pedichini, Filippo Ambrosino, Mauro Centrone, and Dario Del Moro "Speckle statistics in adaptive optics images at visible wavelengths", Proc. SPIE 9909, Adaptive Optics Systems V, 99097P (27 July 2016); https://doi.org/10.1117/12.2232377
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Cited by 2 scholarly publications.
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KEYWORDS
Adaptive optics

Adaptive optics

Speckle

Speckle

Information theory

Point spread functions

Data acquisition

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