New Approaches to Probing Minkowski Functionals
Dipak Munshi, Joseph Smidt, Asantha Cooray, Alessandro Renzi, Alan, Heavens, Peter Coles

TL;DR
This paper introduces generalized Minkowski Functional probes using skew-spectra in various domains to analyze non-Gaussianity in CMB maps, enhancing information extraction and source identification.
Contribution
It develops a pseudo-Cl based approach for estimating Minkowski Functional spectra in harmonic and needlet spaces, including odd-parity spectra, for detailed non-Gaussianity analysis.
Findings
Effective estimation of Minkowski Functionals in masked, noisy CMB data.
Application to models of primordial non-Gaussianity and point sources.
Introduction of odd-parity skew-spectra for new morphological insights.
Abstract
We generalize the concept of the ordinary skew-spectrum to probe the effect of non-Gaussianity on the morphology of Cosmic Microwave Background (CMB) maps in several domains: in real-space (where they are commonly known as cumulant-correlators), and in harmonic and needlet bases. The essential aim is to retain more information than normally contained in these statistics, in order to assist in determining the source of any measured non-Gaussianity, in the same spirit as Munshi & Heavens (2010) skew-spectra were used to identify foreground contaminants to the CMB bispectrum in Planck data. Using a perturbative series to construct the Minkowski Functionals (MFs), we provide a pseudo-Cl based approach in both harmonic and needlet representations to estimate these spectra in the presence of a mask and inhomogeneous noise. Assuming homogeneous noise we present approx- imate expressions for…
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