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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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Extracting Angular Diameter Distance And Expansion Rate Of The Universe From Two-Dimensional Galaxy Power Spectrum At High Redshifts: Baryon Acoustic Oscillation Fitting Versus Full Modeling

TL;DR: In this article, an extension of the Fit-and-Extract (FITEX) algorithm was proposed to include the two-dimensional information, which allows us to extract DA and H simultaneously.
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Disformal couplings and the dark sector of the universe

TL;DR: In this article, the background evolution, anisotropies in the cosmic microwave background and large scale structures of dark matter and dark energy are studied in detail, allowing both conformal and and disformal couplings.
Journal ArticleDOI

Extended Gravity Cosmography

TL;DR: In this paper, a cosmographic approach based on rational Pade and Chebyshev polynomials is proposed to overcome limits of standard cosmography based on Taylor expansion.
Journal ArticleDOI

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

TL;DR: In this article, a new dark energy model in anisotropic Bianchi type-I (B-I) space-time with time dependent equation of state (EoS) parameter and constant deceleration parameter was investigated.
Journal ArticleDOI

Phenomenology of dark energy: exploring the space of theories with future redshift surveys

TL;DR: In this article, the authors use the effective field theory of dark energy to explore the space of modified gravity models which are capable of driving the present cosmic acceleration, and identify five universal functions of cosmic time that are enough to describe a wide range of theories containing a single scalar degree of freedom in addition to the metric.
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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