Recurrence quantification analysis as a post-processing technique in adaptive optics high-contrast imaging
Abstract
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 mas, especially when RQA is applied to a very short sequence of data ( 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.
Keywords
Cite
@article{arxiv.1810.00714,
title = {Recurrence quantification analysis as a post-processing technique in adaptive optics high-contrast imaging},
author = {M. Stangalini and G. Li Causi and F. Pedichini and S. Antoniucci and M. Mattioli and J. Christou and G. Consolini and D. Hope and S. M. Jefferies and R. Piazzesi and V. Testa},
journal= {arXiv preprint arXiv:1810.00714},
year = {2018}
}
Comments
12 pages, 9 figures, Accepted for publication in ApJ