scispace - formally typeset
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.

read more

Citations
More filters
Journal ArticleDOI

Phase-space analysis of teleparallel dark energy

TL;DR: In this paper, a detailed dynamical analysis of the teleparallel dark energy scenario is performed, which is based on the tele-parallel equivalent of General Relativity, in which one adds a canonical scalar field, allowing also for a nonminimal coupling with gravity.
Journal ArticleDOI

Solar system constraints on f(T) gravity

TL;DR: In this paper, a quadratic f(T) correction to the linear-in-T form, which is a good approximation for every realistic case, was proposed and the spherical solutions of the theory were extracted.
Journal ArticleDOI

Holographic Dark Energy

TL;DR: In this paper, a holographic dark energy (HDE) model is proposed, in which the future event horizon is chosen as the characteristic length scale, and the theoretical explorations and the observational constraints for this model are discussed.
Journal ArticleDOI

Lemaitre–Tolman–Bondi model and accelerating expansion

TL;DR: In this article, the authors discuss the spherically symmetric but inhomogeneous Lemaitre-Tolman-Bondi (LTB) metric, which provides an exact toy model for an inhomogenous universe.
Journal ArticleDOI

Inflation and late-time cosmic acceleration in non-minimal Maxwell-F(R) gravity and the generation of large-scale magnetic fields

TL;DR: In this paper, it is shown that power-law inflation can be realized due to the non-minimal gravitational coupling of the electromagnetic field, and that large-scale magnetic fields can be generated due to breaking of the conformal invariance of the magnetic field through its nonminimal gravity coupling.
References
More filters
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.
Related Papers (5)