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Dynamics of dark energy

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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

Non-minimal kinetic coupling and the phenomenology of dark energy

TL;DR: In this paper, a model of scalar field with a general non-minimal kinetic coupling to itself and to the curvature is studied. And the cosmological dynamics of this model and the issue of accelerated expansion are analyzed.
Journal ArticleDOI

Splashback in galaxy clusters as a probe of cosmic expansion and gravity

TL;DR: In this paper, the authors used analytical models and N-body simulations to study the dependence of the splashback radius on dark energy and screened modified gravity theories and found that the transition from screened to unscreened regions typically occurs in the cluster outskirts.
Journal ArticleDOI

Dark energy from a positive jerk parameter

TL;DR: In this article, it was shown that a cosmological model is compatible with a constant jerk, here conventionally rewritten as j = 1+ϵ, with ϵ > 0 representing a departure from the ΛCDM model.
Journal ArticleDOI

Bulk viscous matter and recent acceleration of the universe based on causal viscous theory

TL;DR: In this article, the evolution of the bulk viscous matter dominated universe has been analyzed using the full causal theory for the development of viscous pressure in the context of the recent acceleration of the universe, where the form of the viscosity is taken as $$\xi =\alpha \rho ^{1/2}.
Journal ArticleDOI

Non-existence of Bianchi type-III bulk viscous string cosmological model in f ( R , T ) gravity

TL;DR: In this article, a spatially homogeneous and anisotropic Bianchi type-III space-time is considered in the presence of bulk viscous fluid containing one dimensional cosmic strings in the frame work of f(R,T) gravity.
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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