Interaction in the dark sector: a Bayesian analysis with latest observations
T. Ferreira, C. Pigozzo, S. Carneiro, J. S. Alcaniz

TL;DR
This paper uses a Bayesian approach with recent cosmological data to evaluate models where dark matter and dark energy interact, finding evidence supporting these models over standard cosmology.
Contribution
It introduces a comprehensive Bayesian analysis combining multiple observational probes to assess the viability of interacting dark sector models.
Findings
Evidence favoring interacting dark sector models
Supports the viability of dark sector interaction models over standard cosmology
Utilizes latest cosmological observations for model testing
Abstract
By combining cosmological probes at low, intermediate and high redshifts, we investigate the observational viability of a class of models with interaction in the dark sector. We perform a Bayesian analysis using the latest data sets of type Ia supernovae, baryon acoustic oscillations, the angular acoustic scale of the cosmic microwave background, and measurements of the expansion rate. When combined with the current measurement of the local expansion rate obtained by the Hubble Space Telescope, we find that these observations provide evidence in favour of interacting models with respect to the standard cosmology.
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Taxonomy
TopicsCosmology and Gravitation Theories · Gamma-ray bursts and supernovae · Radio Astronomy Observations and Technology
