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Gaussian process cosmography

Title
Gaussian process cosmography
Authors
Shafieloo A.Kim A.G.Linder E.V.
Ewha Authors
Eric V. Linder
Issue Date
2012
Journal Title
Physical Review D - Particles, Fields, Gravitation and Cosmology
ISSN
1550-7998JCR Link
Citation
vol. 85, no. 12
Indexed
SCI; SCIE; SCOPUS WOS scopus
Abstract
Gaussian processes provide a method for extracting cosmological information from observations without assuming a cosmological model. We carry out cosmography-mapping the time evolution of the cosmic expansion-in a model-independent manner using kinematic variables and a geometric probe of cosmology. Using the state of the art supernova distance data from the Union2.1 compilation, we constrain, without any assumptions about dark energy parametrization or matter density, the Hubble parameter and deceleration parameter as a function of redshift. Extraction of these relations is tested successfully against models with features on various coherence scales, subject to certain statistical cautions. © 2012 American Physical Society.
DOI
10.1103/PhysRevD.85.123530
Appears in Collections:
자연과학대학 > 물리학전공 > Journal papers
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