Recurrence quantification analysis as a post-processing technique in adaptive optics high-contrast imaging [IMA]

http://arxiv.org/abs/1810.00714


In this work we explore the possibility of using Recurrence Quantification Analysis (RQA) in astronomical high-contrast imaging to statistically discriminate the signal of faint objects from speckle noise. To this end, we tested RQA on a sequence of high frame rate (1 kHz) images acquired with the SHARK-VIS forerunner at the Large Binocular Telescope. Our tests show promising results in terms of detection contrasts at angular separations as small as $50$ mas, especially when RQA is applied to a very short sequence of data ($2$ s). These results are discussed in light of possible science applications and with respect to other techniques like, for example, Angular Differential Imaging and Speckle-Free Imaging.

Read this paper on arXiv…

M. Stangalini, G. Causi, F. Pedichini, et. al.
Tue, 2 Oct 18
67/84

Comments: 12 pages, 9 figures, Accepted for publication in ApJ