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Residual foreground contamination in the WMAP data and bias in non-Gaussianity estimation

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dc.contributor.author Pravabati, C
dc.contributor.author Park, C
dc.date.accessioned 2013-02-28T14:54:53Z
dc.date.available 2013-02-28T14:54:53Z
dc.date.issued 2013-02
dc.identifier.citation Journal of Cosmology and Astroparticle Physics, Vol. 2013, No. 2, Article No. 31 en
dc.identifier.issn 1475-7516
dc.identifier.uri http://hdl.handle.net/2248/6006
dc.description Restricted Access en
dc.description.abstract We analyze whether there is any residual foreground contamination in the cleaned WMAP 7 years data for the differential assemblies, Q, V and W. We calculate the correlation between the foreground map, from which long wavelength correlations have been subtracted, and the foreground reduced map for each differential assembly after applying the Galaxy and point sources masks. We find positive correlations for all the differential assemblies, with high statistical significance. For Q and V, we find that a large fraction of the contamination comes from pixels where the foreground maps have positive values larger than three times the rms values. These findings imply the presence of residual contamination from Galactic emissions and unresolved point sources. We redo the analysis after masking the extended point sources cataloque of Scodeller et al. [7] and find a drop in the correlation and corresponding significance values. To quantify the effect of the residual contamination on the search for primordial non-Gaussianity in the CMB we add estimated contaminant fraction to simulated Gaussian CMB maps and calculate the characteristic non-Gaussian deviation shapes of Minkowski Functionals that arise due to the contamination. We find remarkable agreement of these deviation shapes with those measured from WMAP data, which imply that a major fraction of the observed non-Gaussian deviation comes from residual foreground contamination. We also compute non-Gaussian deviations of Minkowski Functionals after applying the point sources mask of Scodeller et al. and find a decrease in the overall amplitudes of the deviations which is consistent with a decrease in the level of contamination. en
dc.language.iso en en
dc.publisher IOP Publishing en
dc.relation.uri http://dx.doi.org/10.1088/1475-7516/2013/02/031 en
dc.relation.uri http://arxiv.org/abs/1210.2250 en
dc.rights © IOP Publishing en
dc.subject CMBR experiments en
dc.subject Non-gaussianity en
dc.title Residual foreground contamination in the WMAP data and bias in non-Gaussianity estimation en
dc.type Article en


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