Search for Non-Gaussianities in the WMAP Data with the Scaling Index Method

In the recent years, non-Gaussianity and statistical isotropy of the Cosmic Microwave Background (CMB) was investigated with various statistical measures, first and foremost by means of the measurements of the WMAP satellite. In this paper, we focus on the analyses that were accomplished with a meas...

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Main Authors: G. Rossmanith, H. Modest, C. Räth, A. J. Banday, K. M. Górski, G. Morfill
Format: Article
Language:English
Published: Hindawi Limited 2011-01-01
Series:Advances in Astronomy
Online Access:http://dx.doi.org/10.1155/2011/174873
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spelling doaj-2cdbcdc07e6f4a0280f42dba078c86cf2020-11-25T01:12:47ZengHindawi LimitedAdvances in Astronomy1687-79691687-79772011-01-01201110.1155/2011/174873174873Search for Non-Gaussianities in the WMAP Data with the Scaling Index MethodG. Rossmanith0H. Modest1C. Räth2A. J. Banday3K. M. Górski4G. Morfill5Max-Planck-Institut für extraterrestrische Physik, Giessenbachstraβe 1, 85748 Garching, GermanyMax-Planck-Institut für extraterrestrische Physik, Giessenbachstraβe 1, 85748 Garching, GermanyMax-Planck-Institut für extraterrestrische Physik, Giessenbachstraβe 1, 85748 Garching, GermanyUniversité de Toulouse, UPS-OMP, IRAP, 5 allées Antonio Machado, 31058 Toulouse, FranceJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USAMax-Planck-Institut für extraterrestrische Physik, Giessenbachstraβe 1, 85748 Garching, GermanyIn the recent years, non-Gaussianity and statistical isotropy of the Cosmic Microwave Background (CMB) was investigated with various statistical measures, first and foremost by means of the measurements of the WMAP satellite. In this paper, we focus on the analyses that were accomplished with a measure of local type, the so-called Scaling Index Method (SIM). The SIM is able to detect structural characteristics of a given data set and has proven to be highly valuable in CMB analysis. It was used for comparing the data set with simulations as well as surrogates, which are full-sky maps generated by randomisation of previously selected features of the original map. During these investigations, strong evidence for non-Gaussianities as well as asymmetries and local features could be detected. In combination with the surrogates approach, the SIM detected the highest significances for non-Gaussianity to date.http://dx.doi.org/10.1155/2011/174873
collection DOAJ
language English
format Article
sources DOAJ
author G. Rossmanith
H. Modest
C. Räth
A. J. Banday
K. M. Górski
G. Morfill
spellingShingle G. Rossmanith
H. Modest
C. Räth
A. J. Banday
K. M. Górski
G. Morfill
Search for Non-Gaussianities in the WMAP Data with the Scaling Index Method
Advances in Astronomy
author_facet G. Rossmanith
H. Modest
C. Räth
A. J. Banday
K. M. Górski
G. Morfill
author_sort G. Rossmanith
title Search for Non-Gaussianities in the WMAP Data with the Scaling Index Method
title_short Search for Non-Gaussianities in the WMAP Data with the Scaling Index Method
title_full Search for Non-Gaussianities in the WMAP Data with the Scaling Index Method
title_fullStr Search for Non-Gaussianities in the WMAP Data with the Scaling Index Method
title_full_unstemmed Search for Non-Gaussianities in the WMAP Data with the Scaling Index Method
title_sort search for non-gaussianities in the wmap data with the scaling index method
publisher Hindawi Limited
series Advances in Astronomy
issn 1687-7969
1687-7977
publishDate 2011-01-01
description In the recent years, non-Gaussianity and statistical isotropy of the Cosmic Microwave Background (CMB) was investigated with various statistical measures, first and foremost by means of the measurements of the WMAP satellite. In this paper, we focus on the analyses that were accomplished with a measure of local type, the so-called Scaling Index Method (SIM). The SIM is able to detect structural characteristics of a given data set and has proven to be highly valuable in CMB analysis. It was used for comparing the data set with simulations as well as surrogates, which are full-sky maps generated by randomisation of previously selected features of the original map. During these investigations, strong evidence for non-Gaussianities as well as asymmetries and local features could be detected. In combination with the surrogates approach, the SIM detected the highest significances for non-Gaussianity to date.
url http://dx.doi.org/10.1155/2011/174873
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