English

Experimental confirmation of long-memory correlations in star-wander data

Atmospheric and Oceanic Physics 2023-07-19 v1 Data Analysis, Statistics and Probability Optics

Abstract

In this letter we have analyzed the temporal correlations of the angle-of-arrival fluctuations of stellar images. Experimentally measured data were carefully examined by implementing multifractal detrended fluctuation analysis. This algorithm is able to discriminate the presence of fractal and multifractal structures in recorded time sequences. We have confirmed that turbulence-degraded stellar wavefronts are compatible with a long-memory correlated monofractal process. This experimental result is quite significant for the accurate comprehension and modeling of the atmospheric turbulence effects on the stellar images. It can also be of great utility within the adaptive optics field.

Keywords

Cite

@article{arxiv.1406.7706,
  title  = {Experimental confirmation of long-memory correlations in star-wander data},
  author = {Luciano Zunino and Damián Gulich and Gustavo Funes and Aziz Ziad},
  journal= {arXiv preprint arXiv:1406.7706},
  year   = {2023}
}

Comments

4 pages, 5 figures, 23 references. Minor grammatical changes to match the published version. Comments and suggestions are welcomed

R2 v1 2026-06-22T04:51:13.036Z