Degree of randomness: numerical experiments for astrophysical signals
arXiv:1104.5688 · doi:10.1209/0295-5075/95/19001
Abstract
Astrophysical and cosmological signals such as the cosmic microwave background radiation, as observed, typically contain contributions of different components, and their statistical properties can be used to distinguish one from the other. A method developed originally by Kolmogorov is involved for the study of astrophysical signals of randomness of various degrees. Numerical performed experiments based on the universality of Kolmogorov distribution and using a single scaling of the ratio of stochastic to regular components, reveal basic features in the behavior of generated signals also in terms of a critical value for that ratio, thus enable the application of this technique for various observational datasets
6 pages, 9 figures; Europhys.Letters; to match the published version
References in corpus (7)
- Five-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Cosmological Interpretation
- The Uncorrelated Universe: Statistical Anisotropy and the Vanishing Angular Correlation Function in WMAP Years 1-3
- Kolmogorov cosmic microwave background sky
- Kolmogorov stochasticity parameter measuring the randomness in Cosmic Microwave Background
- Porosity criterion for hyperbolic voids and the cosmic microwave background
- Large Scale Plane-Mirroring in the Cosmic Microwave Background WMAP5 Maps
- A weakly random Universe?