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Forecasting interacting vacuum-energy models using gravitational waves

Weiqiang Yang, Supriya Pan, Eleonora Di Valentino, Bin Wang, Anzhong Wang

2020Journal of Cosmology and Astroparticle Physics37 citationsDOIOpen Access PDF

Abstract

The physics of the dark sector has remained one of the controversial areas of modern cosmology at present and hence it naturally attracts massive attention to the scientific community. With the developments of the astronomical data, the physics of the dark sector is becoming much more transparent than it was some twenty years back. The detection of gravitational waves (GWs) has now opened a cluster of possibilities in the cosmological regime. Being motivated by the detection of GWs and its possible impact on the physics of dark matter and dark energy, in this work we focus on the interacting dark energy models. Assuming the simplest possibility in which the vacuum energy with equation-of-state $w_x =-1$ is allowed to interact with the pressureless dark matter, we have extracted the constraints of the cosmological parameters. We find that the addition of the GWs data to the CMB measurements significantly improves up to a factor 4 of the parameters space, and up to a factor 2 for the full combination of current cosmological datasets, namely CMB+BAO+Pantheon+RSD+R16+CC+WL. The most affected parameters by the inclusion of the GWs are $\Omega_ch^2$, $\theta_{MC}$, $\xi$, and the derived parameters $\Omega_{m0}$, $\sigma_8$ and $H_0$.

Topics & Concepts

PhysicsDark energyCosmic microwave backgroundDark matterCosmologyBaryon acoustic oscillationsGravitational waveAstrophysicsGravitationInflation (cosmology)Theoretical physicsLambda-CDM modelDark fluidScalar field dark matterAstronomyCosmic background radiationPhysics beyond the Standard ModelWork (physics)UniverseHot dark matterVacuum energyStructure formationFocus (optics)Cosmological modelMetric expansion of spaceGravitational instabilityObservational cosmologyCosmology and Gravitation TheoriesDark Matter and Cosmic PhenomenaComputational Physics and Python Applications