Cosmologia observacional usando análise bayesiana
Ano de defesa: | 2008 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
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 |
Programa de Pós-Graduação: |
Não Informado pela instituição
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Departamento: |
Não Informado pela instituição
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País: |
Não Informado pela instituição
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Palavras-chave em Português: | |
Link de acesso: | http://repositorio.ufes.br/handle/10/4763 |
Resumo: | 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 |