Astronomy and Astrophysics – Astronomy
Scientific paper
Mar 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009apj...694..339c&link_type=abstract
The Astrophysical Journal, Volume 694, Issue 1, pp. 339-343 (2009).
Astronomy and Astrophysics
Astronomy
6
Cosmic Microwave Background, Cosmology: Observations, Methods: Data Analysis
Scientific paper
The quadrupole power of cosmic microwave background (CMB) temperature anisotropies seen in the Wilkinson Microwave Anisotropy Probe (WMAP) data is puzzlingly low. In this paper, we demonstrate that Minimum Variance Optimization (MVO), a technique used by many authors (including the WMAP science team) to separate the CMB from contaminating foregrounds, has the effect of forcing the extracted CMB map to have zero statistical correlation with the foreground emission. Over an ensemble of universes the true CMB and foreground are indeed expected to be uncorrelated, but any particular sky pattern (such as the one we happen to observe) will generate nonzero measured correlations simply by chance. We call this effect "cosmic covariance" and it is a possible source of bias in the CMB maps cleaned using the MVO technique. We show that the presence of cosmic covariance is expected to artificially suppress the variance of the Internal Linear Combination (ILC) map obtained via MVO. It also propagates into the multipole expansion of the ILC map, generating a quadrupole deficit with more than 90% confidence. Since we do not know the CMB and the foregrounds a priori, there is therefore an unknown contribution to the uncertainty in the measured quadrupole power, over and above the usual cosmic variance contribution.
Chiang Lung-Yih
Coles Peter
Naselsky Pavel D.
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