Probing the statistic in the cosmic microwave background

TL;DR

This paper explores the use of Kolmogorov's statistic to analyze and distinguish the cosmic microwave background signals from galactic contamination, demonstrating its effectiveness as a separation tool.

Contribution

It introduces a novel application of Kolmogorov's statistic to CMB data, providing a new method for separating cosmic signals from foreground noise.

Findings

Kolmogorov's parameter effectively differentiates CMB from galactic radiation.

Maps of the Kolmogorov stochasticity parameter reveal regions with varying contamination levels.

The method shows promise for improving CMB signal analysis.

Abstract

Kolmogorov's statistic is used for the analysis of properties of perturbations in the Cosmic Microwave Background signal. We obtain the maps of the Kolmogorov stochasticity parameter for W and V band temperature data of WMAP which are differently affected by the Galactic disk radiation and then we model datasets with various statistic of perturbations. The analysis shows that the Kolmogorov's parameter can be an efficient tool for the separation of Cosmic Microwave Background from the contaminating radiations due to their different statistical properties.