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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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Citations
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Cosmological simulations of galaxy formation

TL;DR: Cosmological simulations of galaxy formation have been instrumental in advancing our understanding of structure and galaxy formation in the Universe as discussed by the authors, and have also proven useful to study alternative cosmological models and their impact on the galaxy population.
Journal ArticleDOI

New infrared cut-off for the holographic scalar fields models of dark energy

TL;DR: In this paper, the authors introduced a new infrared cut-off for the holographic dark energy and studied the correspondence between the quintessence, tachyon, K-essence and dilaton energy density in the flat FRW universe.
Journal ArticleDOI

Distinguishing modified gravity from dark energy

TL;DR: In this paper, the authors investigate modified gravity models and compare their observable predictions with dark energy models and derive results for large-scale structure growth, weak gravitational lensing, and cosmic microwave background anisotropy.
Journal ArticleDOI

Effective gravitational couplings for cosmological perturbations in the most general scalar-tensor theories with second-order field equations

TL;DR: In this paper, the effects of scalar density perturbations in the presence of non-relativistic matter minimally coupled to gravity were derived under a quasi-static approximation on sub-horizon scales.
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Holographic dark energy models: a comparison from the latest observational data

TL;DR: In this article, the authors performed the best-fit analysis on three holographic dark energy (HDE) models, namely, the original holographic HDE model, the agegraphic RDE model and the holographic Ricci dark energy 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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