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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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Non-minimal Kinetic coupling to gravity and accelerated expansion

TL;DR: In this paper, a scalar field with kinetic term coupled to itself and to the curvature was studied as a source of dark energy, and the role of this new coupling in the accelerated expansion at large times was analyzed.
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Charged anisotropic compact star in f(R,T) gravity: A minimal geometric deformation gravitational decoupling approach

TL;DR: In this article, the authors studied the high dense charged anisotropic compact structures in the framework of f ( R, T ) gravity theory and applied the gravitational decoupling via a minimal geometric deformation (MGD) scheme.
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An extended excursion set approach to structure formation in chameleon models.

TL;DR: In this paper, the authors extend excursion set theory to incorporate environmental effects on structure formation and apply the method to a chameleon model and calculate observables such as the non-linear mass function at various redshifts.
Journal ArticleDOI

Evolution of a Schwarzschild black hole in phantom-like Chaplygin gas cosmologies

TL;DR: In this article, the authors investigated the evolution of a Schwarzschild black hole in the standard model of cosmology using the phantom-like modified variable Chaplygin gas and the viscous generalized Charigin gas, and derived corresponding expressions for accretion time scale and evolution of mass.
Journal ArticleDOI

Palatini formulation of modified gravity with a non-minimal curvature-matter coupling

TL;DR: In this paper, the authors derived the field equations and the equations of motion for scalar fields and massive test particles in modified theories of gravity with an arbitrary coupling between geometry and matter by using the Palatini formalism.
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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