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Non-Linear Data Analysis on the Sphere
Gregor Rossmanith
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Description for Non-Linear Data Analysis on the Sphere
Paperback. This work deals with the search for signatures of non-Gaussianities in the cosmic microwave background (CMB) and adapts complementary methods stemming from the field of complexity science to CMB data analysis. Series: Springer Theses. Num Pages: 138 pages, biography. BIC Classification: PHR; PHS; PHU. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 8. Weight in Grams: 226.
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. ... Read more
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. ... Read more
Product Details
Format
Paperback
Publication date
2013
Publisher
Springer International Publishing AG Switzerland
Number of pages
138
Condition
New
Series
Springer Theses
Number of Pages
126
Place of Publication
Cham, Switzerland
ISBN
9783319033372
SKU
V9783319033372
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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