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Journal ArticleDOI

Dynamics of dark energy

TLDR
In this article, the authors review the observational evidence for the current accelerated expansion of the universe and present a number of dark energy models in addition to the conventional cosmological constant, paying particular attention to scalar field models such as quintessence, K-essence and tachyon.
Abstract
We review in detail a number of approaches that have been adopted to try and explain the remarkable observation of our accelerating universe. In particular we discuss the arguments for and recent progress made towards understanding the nature of dark energy. We review the observational evidence for the current accelerated expansion of the universe and present a number of dark energy models in addition to the conventional cosmological constant, paying particular attention to scalar field models such as quintessence, K-essence, tachyon, phantom and dilatonic models. The importance of cosmological scaling solutions is emphasized when studying the dynamical system of scalar fields including coupled dark energy. We study the evolution of cosmological perturbations allowing us to confront them with the observation of the Cosmic Microwave Background and Large Scale Structure and demonstrate how it is possible in principle to reconstruct the equation of state of dark energy by also using Supernovae Ia observational data. We also discuss in detail the nature of tracking solutions in cosmology, particle physics and braneworld models of dark energy, the nature of possible future singularities, the effect of higher order curvature terms to avoid a Big Rip singularity, and approaches to modifying gravity which leads to a late-time accelerated expansion without recourse to a new form of dark energy.

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Citations
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Journal ArticleDOI

Correspondence between holographic and Gauss–Bonnet dark energy models

TL;DR: In this article, the cosmological implications of holographic dark energy density in the Gauss-Bonnet framework were investigated, and it was shown that there is a correspondence between the holographic light energy scenario in flat universe and the phantom dark energy model in the framework of Gauss−Bonnet theory with a potential.
Journal ArticleDOI

Age problem in the holographic dark energy model

TL;DR: In this paper, the original holographic dark energy model with some old high redshift objects was tested and it was shown that the original model cannot be proven to be correct unless a lower Hubble constant is taken.
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Interacting scenarios with dynamical dark energy: Observational constraints and alleviation of the H 0 tension

TL;DR: In this article, the authors investigate interacting scenarios which belong to a wider class, since they include a dynamical dark energy component whose equation of state follows various one-parameter parametrizations.
Journal ArticleDOI

The effect of inhomogeneous expansion on the supernova observations

TL;DR: In this article, the authors consider an inhomogeneous but spherically symmetric Lemaitre-Tolman-Bondi model and demonstrate that spatial variations of the expansion rate can have a significant effect on the cosmological supernova observations.
Journal ArticleDOI

Cosmic expansion and growth histories in Galileon scalar-tensor models of dark energy

TL;DR: In this article, the authors study models of late-time cosmic acceleration in terms of scalar-tensor theories generalized to include a certain class of nonlinear derivative interaction of the scalar field, and show that the expansion history until today is almost indistinguishable from that of the $\ensuremath{\Lambda}mathrm{CDM}$ model or some (phantom) dark energy models, but the fate of the universe depends clearly on the model parameter.
References
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Journal ArticleDOI

A new look at the statistical model identification

TL;DR: In this article, a new estimate minimum information theoretical criterion estimate (MAICE) is introduced for the purpose of statistical identification, which is free from the ambiguities inherent in the application of conventional hypothesis testing procedure.
Journal ArticleDOI

Estimating the Dimension of a Model

TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.

Estimating the dimension of a model

TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
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