Ana M. M. Pinho
ITP, Heidelberg

Abstract
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

IA/U.Porto
Centro de Astrofísica da Universidade do Porto (Classroom)
Rua das Estrelas, 4150-762 Porto