Non-Gaussianity analysis on local morphological measures of WMAP data
Y. Wiaux, P. Vielva, R. B. Barreiro, E. Martinez-Gonzalez, P., Vandergheynst

TL;DR
This study analyzes local morphological measures of WMAP data using steerable wavelets to detect non-Gaussian features, finding significant excess kurtosis in the signed-intensity that challenges standard inflationary models.
Contribution
It introduces a non-Gaussianity analysis based on local morphological measures derived from steerable wavelets on WMAP data, providing new insights into CMB anomalies.
Findings
Significant excess kurtosis detected in signed-intensity at ~10 degrees scale.
No non-Gaussianity detected in orientation or elongation measures.
Instrumental noise and foregrounds unlikely causes of the observed non-Gaussianity.
Abstract
The decomposition of a signal on the sphere with the steerable wavelet constructed from the second Gaussian derivative gives access to the orientation, signed-intensity, and elongation of the signal's local features. In the present work, the non-Gaussianity of the WMAP temperature data of the cosmic microwave background (CMB) is analyzed in terms of the first four moments of the statistically isotropic random fields associated with these local morphological measures, at wavelet scales corresponding to angular sizes between 27.5 arcminutes and 30 degrees on the celestial sphere. While no detection is made neither in the orientation analysis nor in the elongation analysis, a strong detection is made in the excess kurtosis of the signed-intensity of the WMAP data. The non-Gaussianity is observed with a significance level below 0.5% at a wavelet scale corresponding to an angular size around…
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