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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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Measuring the Hubble constant: Gravitational wave observations meet galaxy clustering

TL;DR: In this paper, the distances to binary black holes measured in gravitational wave observations with ground-based interferometers can be used to constrain the redshift-distance relation and, thereby, measure the Hubble constant.
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A Class of Effective Field Theory Models of Cosmic Acceleration

TL;DR: In this paper, the authors explore a class of effective field theory models of cosmic acceleration involving a metric and a single scalar field, which can be obtained by starting with a set of ultralight pseudo-Nambu-Goldstone bosons whose couplings to matter satisfy the weak equivalence principle, assuming that one boson is lighter than all the others.
Journal ArticleDOI

Generalized equation of state for dark energy

TL;DR: In this article, a generalized parametrization for the dark energy equation of state is proposed and some of its cosmological consequences are investigated, and possible constraints on the parameters from current observational data are discussed.
Journal ArticleDOI

Origin of holographic dark energy models

TL;DR: In this article, the authors investigated the origin of holographic dark energy models which were recently proposed to explain the dark energy-dominated universe and introduced the spacetime foam uncertainty of δ l ⩾ l p α l α − 1.
Journal ArticleDOI

Thin accretion disk signatures in dynamical Chern-Simons modified gravity

TL;DR: In this article, the authors considered the Chern-Simons (CS) modified gravity, where the coupling field is treated as a dynamical field, endowed with its own stress energy tensor and evolution equation.
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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