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Non-linear Data Analysis on the Sphere - The Quest for Anomalies in the Cosmic Microwave Background (Paperback, 2013 ed.) Loot Price: R2,975
Discovery Miles 29 750
Non-linear Data Analysis on the Sphere - The Quest for Anomalies in the Cosmic Microwave Background (Paperback, 2013 ed.):...

Non-linear Data Analysis on the Sphere - The Quest for Anomalies in the Cosmic Microwave Background (Paperback, 2013 ed.)

Gregor Rossmanith

Series: Springer Theses

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Loot Price R2,975 Discovery Miles 29 750 | Repayment Terms: R279 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Springer Theses
Release date: June 2015
First published: 2013
Authors: Gregor Rossmanith
Dimensions: 235 x 155 x 8mm (L x W x T)
Format: Paperback
Pages: 126
Edition: 2013 ed.
ISBN-13: 978-3-319-03337-2
Categories: Books > Science & Mathematics > Astronomy, space & time > Cosmology & the universe
Books > Science & Mathematics > Physics > General
Books > Science & Mathematics > Mathematics > Applied mathematics > General
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LSN: 3-319-03337-9
Barcode: 9783319033372

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