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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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Early dark energy from zero-point quantum fluctuations

TL;DR: In this article, a cosmological model with a dark energy density of the form ρ DE ( t ) = ρ X (t ) + ρ Z (t) was examined, and it was shown that the remaining quartic divergence can be reabsorbed into a redefinition of Newton's constant only under the assumption that ∇ μ 〈 0 | T μ ν | 0 〉 = 0, i.e. that the energy-momentum tensor of vacuum fluctuations is conserved in isolation.
Journal ArticleDOI

F(R) gravity's rainbow and its Einstein counterpart

TL;DR: In this paper, the authors introduced charged black hole solutions with power Maxwell invariant source in the context of gravity's rainbow and investigated two classes of gravity’s rainbow solutions, without energy-momentum tensor and with conformally invariant Maxwell source.
Journal ArticleDOI

A cosmographic analysis of holographic dark energy models

TL;DR: In this paper, a detailed study of interacting holographic dark energy model for three common choices of the interaction term is presented, and the cosmographic parameters are presented both analytically and graphically.
Journal ArticleDOI

Observational Cosmology And The Cosmic Distance Duality Relation

TL;DR: In this article, the validity of the distance duality relation between angular diameter and luminosity distances between radio galaxies and supernovae Type Ia (SNe Ia) was investigated.
Journal ArticleDOI

Ultralight axions: degeneracies with massive neutrinos and forecasts for future cosmological observations

TL;DR: In this article, the effect of the so-called string axiverse on large-scale structure, focusing on the morphology and evolution of density perturbations, anisotropies in the cosmic microwave background, and weak gravitational lensing of distant galaxies, was studied.
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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