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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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Book ChapterDOI

Conformal Equivalence in Classical Gravity: the Example of “Veiled” General Relativity

TL;DR: In this article, the authors show that observational predictions are exactly the same as in General Relativity, with the interpretation of this Weyl rescaling rescaling interpreted as a spacetime dependence of the inertial mass of the matter constituents.
Journal ArticleDOI

Noether symmetry of F(T) cosmology with quintessence and phantom scalar fields

TL;DR: In this article, the authors investigated the Noether symmetries of F(T) cosmology involving matter and dark energy, and obtained the scalar potential V(ϕ)∼ϕ姫 2 for both models of dark energy and discuss quantum implications of this model.
Journal ArticleDOI

f(T) modified teleparallel gravity as an alternative for holographic and new agegraphic dark energy models

TL;DR: In this paper, the authors reconstruct different f(T)-gravity models corresponding to the original and entropy-corrected versions of the holographic and new agegraphic dark energy models.
Journal ArticleDOI

Growth Index of DGP Model and Current Growth Rate Data

TL;DR: In this article, the authors consider the general DGP model with any Ω k and confront the growth index of the model with currently available growth rate data and find that the model is still consistent with it.
Journal ArticleDOI

Bianchi Type-I Anisotropic Dark Energy Models with Constant Deceleration Parameter

TL;DR: In this article, the dark energy models in anisotropic Bianchi type-I (B-I) space-time with variable EoS parameter and constant deceleration parameter have been investigated.
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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