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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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 |
work_keys_str_mv |
AT grossmanith searchfornongaussianitiesinthewmapdatawiththescalingindexmethod AT hmodest searchfornongaussianitiesinthewmapdatawiththescalingindexmethod AT crath searchfornongaussianitiesinthewmapdatawiththescalingindexmethod AT ajbanday searchfornongaussianitiesinthewmapdatawiththescalingindexmethod AT kmgorski searchfornongaussianitiesinthewmapdatawiththescalingindexmethod AT gmorfill searchfornongaussianitiesinthewmapdatawiththescalingindexmethod |
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