Sample Variance of non-Gaussian Sky Distributions

Non-Gaussian distributions of cosmic microwave background (CMB) anisotropies have been proposed to reconcile the discrepancies between different experiments at half-degree scales (Coulson et al. 1994). Each experiment probes a different part of the sky, furthermore, sky coverage is very small, hence...

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Bibliographic Details
Published inarXiv.org
Main Author Luo, Xiaochun
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 03.05.1994
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Summary:Non-Gaussian distributions of cosmic microwave background (CMB) anisotropies have been proposed to reconcile the discrepancies between different experiments at half-degree scales (Coulson et al. 1994). Each experiment probes a different part of the sky, furthermore, sky coverage is very small, hence the sample variance of each experiment can be large, especially when the sky signal is non-Gaussian. We model the degree-scale CMB sky as a \(\chi_{n}^{2}\) field with \(n\)-degrees of freedom and show that the sample variance is enhanced over that of a Gaussian distribution by a factor of \( {(n +6)/ n}\). The sample variance for different experiments are calculated, both for Gaussian and non-Gaussian distributions. We also show that if the distribution is highly non-Gaussian \((n \ltwid 4)\) at half-degree scales, then the non-Gaussian signature of the CMB could be detected in the FIRS map, though probably not in the COBE map.
ISSN:2331-8422
DOI:10.48550/arxiv.9404069