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A Bayesian modelling of α Cen A

Michaël Bazot

α Cen A is the closest star to the Sun and, as such, one of the most extensively studied. For stellar physicists, it remains a interesting subject of debate. In particular the mechanisms governing the transport of energy in the innermost regions of the star have long been debated. In order to understand them properly, it is necessary to use the best observational constraints available to obtain precise values of the global stellar parameters: the mass, the age, the initial chemical composition,... This describes an inverse problem that I will cast in the Bayesian formalism. In order to solve this problem I suggest using Markov Chain Monte Carlo methods. I will show that this approach allows to efficiently constrain the stellar parameters and, as a consequence, to discuss the possibility of convective energy transport at the center of α Cen A.

2012 October 24, 13:30

Centro de Astrofísica da Universidade do Porto (Auditorium)
Rua das Estrelas, 4150-762 Porto

Faculdade de Ciências da Universidade de Lisboa Universidade do Porto Faculdade de Ciências e Tecnologia da Universidade de Coimbra
Fundação para a Ciência e a Tecnologia COMPETE 2020 PORTUGAL 2020 União Europeia