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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

Violation of First Law of Thermodynamics in f(R,T) Gravity

TL;DR: This paper derived the first law of thermodynamics using the method proposed by Wald using the Noether charge and compared with the usual first law in terms of entropy explicitly which contains infinitely many non-local terms (i.e. the integral terms).
Journal ArticleDOI

Inflation from N-Forms and its stability

TL;DR: In this paper, the authors investigated whether inflation, either isotropic or anisotropic, may be ported by n-forms and showed that some n-form actions are equivalent to f(R) gravity and scalar field models with pos- sible nonminimal couplings.
Journal ArticleDOI

Precision cosmology with Padé rational approximations: Theoretical predictions versus observational limits

TL;DR: In this article, a novel approach for parameterizing the luminosity distance, based on the use of rational "Pade" approximations, was proposed, overcoming possible convergence issues at high redshifts plaguing standard cosmography.
Journal ArticleDOI

Phase-space analysis of interacting phantom cosmology

TL;DR: In this paper, a detailed phase-space analysis of various phantom cosmological models, where the dark energy sector interacts with the dark matter one, is performed, and it is shown that all the examined models, although accepting stable late-time accelerated solutions, cannot alleviate the coincidence problem, unless one imposes a form of fine-tuning in the model parameters.
Journal ArticleDOI

Study of anisotropic strange stars in f (R ,T ) gravity: An embedding approach under the simplest linear functional of the matter-geometry coupling

TL;DR: In this article, the authors investigated the existence of compact structures describing anisotropic matter distributions within the framework of modified gravity theories, specifically $f(R,\mathcal{T}$) gravity theory.
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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