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Journal ArticleDOI

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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Book ChapterDOI

Dark energy: investigation and modeling

TL;DR: A review of theoretical approaches to explain the origin of dark energy can be found in this article, where the authors present recent observational bounds on dark energy constrained by the type Ia supernovae, cosmic microwave background, and baryon acoustic oscillations.
Journal ArticleDOI

Density perturbations in f(R) gravity theories in metric and Palatini formalisms

TL;DR: In this article, a detailed study of matter density perturbations in both metric and Palatini formalisms is presented, where it is shown that for viable $f(R)$ models that satisfy cosmological and local gravity constraints (LGC), matter perturbation equations derived under a subhorizon approximation are valid even for super-Hubble scales provided the oscillating mode (scalaron) does not dominate over the matter induced mode.
Journal ArticleDOI

Dynamical behavior in mimetic F(R) gravity

TL;DR: In this article, the authors investigated the cosmological behavior of mimetic F(R) gravity, which is an extension of usual mimetic gravity classes based on re-parametrizations of the metric using new, but not propagating, degrees of freedom.
Dissertation

Modified teleparallel theories of gravity

TL;DR: In this paper, the authors studied several modified Teleparallel theories of gravity with emphasis on late-time cosmology, and classified them according to their ability to describe the current cosmological observations.
Journal ArticleDOI

Nonlinear structure formation in the cubic Galileon gravity model

TL;DR: In this article, a suite of N-body cosmological simulations using the ECOSMOG code is used to model the linear and nonlinear growth of large scale structure in the Cubic Galileon gravity model.
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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