Non-linear Data Analysis on the Sphere: The Quest for Anomalies in the Cosmic Microwave Background

Author:   Gregor Rossmanith
Publisher:   Springer International Publishing AG
Edition:   2013 ed.
ISBN:  

9783319033372


Pages:   126
Publication Date:   20 June 2015
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Non-linear Data Analysis on the Sphere: The Quest for Anomalies in the Cosmic Microwave Background


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Overview

This work deals with the search for signatures of non-Gaussianities in the cosmic microwave background (CMB). Probing Gaussianity in the CMB addresses one of the key questions in modern cosmology because it allows us to discriminate between different models of inflation, and thus concerns a fundamental part of the standard cosmological model.     The basic goal here is to adapt complementary methods stemming from the field of complexity science to CMB data analysis. Two key concepts, namely the method of surrogates and estimators for local scaling properties, are applied to CMB data analysis.     All results show strong non-Gaussianities and pronounced asymmetries. The consistency of the full sky and cut sky results shows convincingly for the first time that the influence of the Galactic plane is not responsible for these deviations from Gaussianity and isotropy. The findings seriously call into question predictions of isotropic cosmologies based on the widely accepted single field slow roll inflation model.

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Author:   Gregor Rossmanith
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2013 ed.
Dimensions:   Width: 15.50cm , Height: 0.80cm , Length: 23.50cm
Weight:   2.234kg
ISBN:  

9783319033372


ISBN 10:   3319033379
Pages:   126
Publication Date:   20 June 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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