Separating CMB Stokes Q and U polarization signals from Non-Gaussian Emissions
Ujjal Purkayastha, Rajib Saha

TL;DR
This paper presents a novel foreground minimization technique for CMB polarization maps that leverages the Gaussian nature of CMB and the non-Gaussian nature of foregrounds, improving the separation of CMB signals from foreground contamination.
Contribution
The authors develop a new ILC-based method that utilizes Gaussianity assumptions to effectively separate CMB polarization signals from non-Gaussian foregrounds, validated through simulations.
Findings
Significant foreground removal from polarization maps.
Reduced EE and BB power in cleaned maps compared to WMAP.
Method is robust and independent of foreground modeling uncertainties.
Abstract
In this paper we estimate diffuse foreground minimized Cosmic Microwave Background (CMB) Stokes Q and U polarization maps based upon the fundamental concept of Gaussian nature of CMB and strong non-Gaussian nature of astrophysical polarized foregrounds using WMAP nine year published polarization maps. We excise regions of the sky that define position of the known point sources, regions that are strongly contaminated by either the detector noise or by the diffuse foregrounds or both, and then perform foreground minimizations over the surviving sky regions that constitute approximately of the full sky area. We critically evaluate performance of foreground minimizations in several ways and show that our foreground minimization method removes significant foregrounds from input maps. The cleaned Stokes \{Q, U\} polarization maps have less EE and BB power from relevant sky region…
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Taxonomy
TopicsBlind Source Separation Techniques · Characterization and Applications of Magnetic Nanoparticles · Geomagnetism and Paleomagnetism Studies
