Secondary non-Gaussianity and Cross-Correlation Analysis
Dipak Munshi, Patrick Valageas, Asantha Cooray, Alan Heavens

TL;DR
This paper develops optimized estimators for cross-power and skew spectra on the sky, enabling detailed analysis of secondary effects like ISW and SZ, and non-Gaussianity in the CMB with partial sky coverage.
Contribution
It introduces a formalism for the skew spectrum of three fields, enhancing the study of non-Gaussianity and secondary anisotropies in the CMB.
Findings
Effective estimators for cross-power and skew spectra are developed.
The formalism improves detection prospects for ISW, SZ, and CMB lensing effects.
Analysis indicates high significance of secondary effects in CMB data.
Abstract
We develop optimised estimators of two sorts of power spectra for fields defined on the sky, in the presence of partial sky coverage. The first is the cross-power spectrum of two fields on the sky; the second is the skew spectrum of three fields. These can probe the Integrated Sachs Wolfe Effect (ISW) at large angular scales and the Sunyaev Z\'eldovich (SZ) effect from hot gas in clusters at small angular scales. The skew spectrum, recently introduced by Munshi & Heavens (2009), is an optimised statistic which can be tuned to study a particular form of non-Gaussianity, such as may arise in the early Universe, but which retains information on the nature of non-Gaussianity. In this paper we develop the mathematical formalism for the skew spectrum of 3 different fields. When applied to the CMB, this allows us to explore the contamination of the skew spectrum by secondary sources of CMB…
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