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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

Brans-Dicke cosmology with a $\Lambda$- term: a possible solution to $\Lambda$CDM tensions

TL;DR: In this article, the authors presented a full-fledged analysis of Brans-Dicke cosmology with a cosmological constant and cold dark matter (BD-ΛCDM for short).
Journal ArticleDOI

Updated constraints on $f(T)$ models using direct and indirect measurements of the Hubble parameter

TL;DR: In this article, the authors used the AIC statistical test to compare the fitting results of a large family of power-law cosmology models with the observations of the Hubble parameter and showed that all the models are efficient and in very good agreement with observations.
Journal ArticleDOI

Cosmological backreaction from perturbations

TL;DR: In this article, the averaged Einstein equations in a form suitable for use with Newtonian gauge linear perturbation theory and track the size of the modifications to standard Robertson-Walker evolution on the largest scales as a function of redshift for both Einstein-de Sitter and ΛCDM cosmologies.
Journal ArticleDOI

Chaplygin DGP cosmologies

TL;DR: In this paper, a new class of braneworld models displaying late-time phantom acceleration without resorting to a phantom fluid is presented, where expansion is fuelled by dark matter together with some effective dark energy capable of crossing the phantom divide.
Journal ArticleDOI

Analytic solution for matter density perturbations in a class of viable cosmological f(R) models

TL;DR: For a class of viable cosmological models in f(R) gravity in which deviation from the Einstein gravity decreases as an inverse power law of the Ricci scalar R for large R, an analytic solution for density perturbations in the matter component during the matter-dominated stage is obtained in terms of hypergeometric functions as mentioned in this paper.
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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