Abstract

In this paper we study a model of interacting dark energy–dark matter where the ratio between these components is not constant, changing from early to late times in such a way that the model can solve or alleviate the cosmic coincidence problem (CP). The interaction arises from an assumed relation of the form ρxρdα, where ρx and ρd are the energy densities of dark energy and dark matter components, respectively, and α is a free parameter. For a dark energy equation of state parameter w=-1 we found that, if α=0, the standard ΛCDM model is recovered, where the coincidence problem is unsolved. For 0<α<1, the CP would be alleviated and for α1, the CP would be solved. The dark energy component is analyzed with both w=-1 and w-1. Using Supernovae type Ia and Hubble parameter data constraints, in the case w=-1 we find α=0.109-0.072+0.062 at 68% C.L., and the CP is alleviated. For w-1, a degeneracy arises on the wα plane. In order to break such degeneracy we add cosmic microwave background distance priors and baryonic acoustic oscillations data to the constraints, yielding α=-0.075±0.046 at 68% C.L.. In this case we find that the CP is not alleviated even for 2σ interval for α. Furthermore, this last model is discarded against flat ΛCDM according to BIC analysis.

Details

Title
Can dark matter–dark energy interaction alleviate the cosmic coincidence problem?
Author
Jesus, J F 1 ; Escobal, A A 2 ; Benndorf, D 2 ; Pereira, S H 2 

 Universidade Estadual Paulista (UNESP), Instituto de Ciências e Engenharia, Itapeva, Brazil (GRID:grid.410543.7) (ISNI:0000 0001 2188 478X); Universidade Estadual Paulista (UNESP), Departamento de Física, Faculdade de Engenharia de Guaratinguetá, Guaratinguetá, Brazil (GRID:grid.410543.7) (ISNI:0000 0001 2188 478X) 
 Universidade Estadual Paulista (UNESP), Departamento de Física, Faculdade de Engenharia de Guaratinguetá, Guaratinguetá, Brazil (GRID:grid.410543.7) (ISNI:0000 0001 2188 478X) 
Publication year
2022
Publication date
Mar 2022
Publisher
Springer Nature B.V.
ISSN
14346044
e-ISSN
14346052
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2645320909
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.