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Data tensions in Cosmology - an Information Theory approach

Ana M. M. Pinho
ITP, Heidelberg

Besides the yet strong statistical preference for the LCDM model, a few discrepancies in different datasets have recently emerged. These discrepancies - or tensions - may indicate unaccounted systematics, a significant impact from the LCDM model assumption usually considered on the data pipeline or new physics. Information theory provides useful tools to measure the amount of information present in a dataset. These tools can be related to the uncertainty measurements commonly used in Bayesian statistical inference. In this talk, I will present the lastest results of this ongoing work that tries to get a different perspective on the available cosmological information.

2019 October 02, 13:30

Centro de Astrofísica da Universidade do Porto (Classroom)
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