Advanced Statistical Methods for Astrophysical Probes of Cosmology, 2013 Springer Theses Series
Auteur : March Marisa Cristina
Introduction.- Cosmology background.- Dark energy and apparent late time acceleration.- Supernovae Ia.- Statistical techniques.- Bayesian Doubt: Should we doubt the Cosmological Constant?.- Bayesian parameter inference for SNeIa data.- Robustness to Systematic Error for Future Dark Energy Probes.- Summary and Conclusions.- Index.
Nominated by the astrophysics group of Imperial College, London as best dissertation of 2011
The work presented in this thesis constitutes a major leap forward in the field of supernova cosmology
Opens the way to more accurate and robust constraints on dark energy properties
Stands out for the sophistication of the statistical approach adopted
Includes supplementary material: sn.pub/extras
Date de parution : 01-2013
Ouvrage de 180 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 52,74 €
Ajouter au panierMots-clés :
Baryon Acoustic Oscillations; Bayesian Hierarchical Model; Bayesian Model Selection; Bayesian Statistics; Cosmological Model Selection; Cosmological Parameters; Dark Energy Parameters; Expansion of the Universe; Fisher Forecasts; Statistical Models for Observational Cosmology; Supernovae Type Ia