Cosmologia observacional usando análise bayesiana

• Ano de defesa: 2008
• Autor(a) principal: Campos, Ramón Giostri
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Espírito Santo; BR; Mestrado em Física; Centro de Ciências Exatas; UFES; Programa de Pós-Graduação em Física
• Palavras-chave em Português: Cosmology; Bayesian Statistics; Supernovae; X-Ray Galaxies Clusters.; Cosmologia; Estatística Bayesiana; Supernova (Estrela); Raios-X de Aglomerados de Galáxias.; Galáxias - Aglomerados; Barions; Teoria bayesiana de decisão estatística; Física; 53
• Link de acesso: http://repositorio.ufes.br/handle/10/4763

Observational cosmology is based on a tripod: observational data, statistics analysis and theoretical cosmological models. Currently there are many distinct observational cosmological data. In this work we deals with: supernovae of type Ia (SNeIa) and x-ray gas mass fraction of galaxies clusters (fgas). As distinguishing, we use the Bayesian statistics and a complete analysis in many dimensions, with estimates of independent and dependent cosmological parameters (age of the Universe, deceleration parameter, etc). The interface between cosmology and statistics is implemented with a computational tool developed by ourselves, BayEsian Tools for Observational Cosmology (BETOC), which is easily applied for any theoretical cosmological model. At the present time BETOC has three variants, BayEsian Tools for Observational Cosmology using SNeIa-Gold (BETOCS), BayEsian Tools for Observational Cosmology using X-ray of galaxy clusters (BETOCX) and one hybrid of both (BETOCSX). Finally, this work aims at showing how Bayesian inference makes possible deep and not tendencious tests in the theoretical cosmological models, from few to many parameters, well behaved or not