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The Resource Non-linear Data Analysis on the Sphere : The Quest for Anomalies in the Cosmic Microwave Background, by Gregor Rossmanith, (electronic resource)

Non-linear Data Analysis on the Sphere : The Quest for Anomalies in the Cosmic Microwave Background, by Gregor Rossmanith, (electronic resource)

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Non-linear Data Analysis on the Sphere : The Quest for Anomalies in the Cosmic Microwave Background
Title
Non-linear Data Analysis on the Sphere
Title remainder
The Quest for Anomalies in the Cosmic Microwave Background
Statement of responsibility
by Gregor Rossmanith
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Language
eng
Summary
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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Literary form
non fiction
Series statement
Springer Theses, Recognizing Outstanding Ph.D. Research,
Non-linear Data Analysis on the Sphere : The Quest for Anomalies in the Cosmic Microwave Background, by Gregor Rossmanith, (electronic resource)
Label
Non-linear Data Analysis on the Sphere : The Quest for Anomalies in the Cosmic Microwave Background, by Gregor Rossmanith, (electronic resource)
Link
http://libproxy.rpi.edu/login?url=http://dx.doi.org/10.1007/978-3-319-00309-2
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mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
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not applicable
Content category
text
Content type code
txt
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rdacontent
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9783319003092&userID=ebsco-test&password=ebsco-test
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unknown
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{'f': 'http://opac.lib.rpi.edu/record=b3544060'}
Extent
XII, 126 p. 40 illus.
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multiple file formats
Form of item
electronic
Isbn
9783319003092
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
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online resource.
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absent
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access
Specific material designation
remote

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