Studying the stochasticity in astrophysical signals

TL;DR

This paper evaluates the effectiveness of the Kolmogorov-Arnold technique in analyzing astrophysical signals, specifically applied to cosmic microwave background data from WMAP, to distinguish between random and regular structures.

Contribution

It demonstrates the application of the Kolmogorov-Arnold method to astrophysical signals, highlighting its utility in analyzing cosmic microwave background structures.

Findings

Effective differentiation between random and regular structures in CMB maps

Validation of the Kolmogorov-Arnold technique for astrophysical data analysis

Potential for improved understanding of cosmic microwave background features

Abstract

The efficiency of the Kolmogorov-Arnold technique for the astrophysical signals is studied modeling sequences with both random and regular properties. This technique has been applied to the study of the structures in cosmic microwave background maps obtained by the Wilkinson Microwave Anisotropy Probe.