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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

Dark Energy Simulations

TL;DR: In this article, the authors discuss the range of scenarios for the cosmic acceleration that have been successfully investigated by means of dedicated N-body simulations, and provide a broad summary of the main results obtained in this rather new research.
Journal ArticleDOI

The particle versus the future event horizon in an interacting holographic dark energy model

TL;DR: In this paper, the future event horizon is chosen as the horizon of the flat Friedmann-Lemaitre-Robertson-Walker universe, and the interacting holographic dark energy model is able to explain the phantom divide line crossing.
Journal ArticleDOI

Cosmic perturbations with running G and Λ

TL;DR: In this article, the authors derived the general cosmological perturbation equations for models with variable G and ρΛ in which the fluctuations δG and δρΛ are explicitly included.
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An interacting and non-interacting two-fluid dark energy models in FRW universe with time dependent deceleration parameter.

TL;DR: In this paper, the evolution of the dark energy parameter in a spatially homogeneous and isotropic FRW space-time filled with barotropic fluid and dark energy by considering a time dependent deceleration parameter was studied.
Journal ArticleDOI

CROSSING OF THE w = -1 BARRIER IN VISCOUS MODIFIED GRAVITY

TL;DR: BreBrevik and O. Gorbunova as discussed by the authors considered a modified form of gravity in which the action contained a power α of the scalar curvature, and they showed how the presence of a bulk viscosity in a spatially flat universe may drive the cosmic fluid into the phantom region (w -1) in the nonviscous case.
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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