A blind estimation of the angular power spectrum of CMB anisotropy from WMAP

Saha, Rajib ; Jain, Pankaj ; Souradeep, Tarun (2006) A blind estimation of the angular power spectrum of CMB anisotropy from WMAP Astrophysical Journal, 645 (2). L89-L92. ISSN 0004-637X

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Official URL: http://iopscience.iop.org/article/10.1086/506321

Related URL: http://dx.doi.org/10.1086/506321

Abstract

Accurate measurements of the angular power spectrum of cosmic microwave background (CMB) radiation have lead to a marked improvement in the estimates of different cosmological parameters. This has required removal of foreground contamination as well as detector noise bias with reliability and precision. We present the estimation of the CMB angular power spectrum from the multifrequency observations of the Wilkinson Microwave Anisotropy Probe (WMAP) using a novel model-independent method. The primary results of WMAP are the observations of the CMB in 10 independent difference assemblies (DAs) that have uncorrelated noise. Our method utilizes the maximum information available within the WMAP data by linearly combining all the DA maps in order to remove foreground contamination and by estimating the power spectrum from cross-power spectra of clean maps with independent noise. We compute 24 cross-power spectra that are the basis of the final power spectrum. The binned average power matches the WMAP team's published power spectrum closely. A small systematic difference at large multipoles is accounted for by the correction for the expected residual power from unresolved point sources. The correction is small and significantly tempered. Previous estimates have depended on foreground templates built using extraneous observational input. This is the first demonstration that the CMB angular spectrum can be reliably estimated with precision from a self-contained analysis of the WMAP data.

Item Type:Article
Source:Copyright of this article belongs to Institute of Physics.
ID Code:107436
Deposited On:26 Dec 2017 06:58
Last Modified:26 Dec 2017 06:58

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