scispace - formally typeset
Journal ArticleDOI

Dynamics of dark energy

Reads0
Chats0
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

Constraining dark energy with Hubble parameter measurements: an analysis including future redshift-drift observations

TL;DR: In this paper, the authors show how the typical dark energy models can be constrained by the current direct measurements of H(z) (31 data used in total in this paper, covering the redshift range of $$z\in [0.07,2]
Journal ArticleDOI

Falsifying paradigms for cosmic acceleration

TL;DR: In this article, a Markov chain Monte Carlo likelihood exploration of the strength of consistency relations between growth of structure and expansion history observables is performed based on a complete parametrization of dark energy behavior by principal components.
Journal ArticleDOI

Revisit of the interacting holographic dark energy model after Planck 2015

TL;DR: In this article, the authors investigate the observational constraints on the interacting holographic dark energy model and find that the Q = 3βHρdeρc/ρde+ρc model is most favored by current data.
Journal ArticleDOI

Asymptotically safe cosmology

TL;DR: In this paper, the Bianchi identity was exploited to relate the renormalisation group scale with scale factor and derive the improved cosmological evolution equations for Friedmann-Robertson-Walker universe with and without scalar fields.
Journal ArticleDOI

Interacting Ghost Dark Energy in Non-Flat Universe

TL;DR: In this paper, the authors extend the ghost dark energy model to the universe with spatial curvature in the presence of interaction between dark matter and dark energy, and study cosmological implications of this model in detail.
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)