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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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CFHTLS weak-lensing constraints on the neutrino masses

TL;DR: In this article, measurements of cosmic shear from CFHTLS, combined with WMAP-5 cosmic microwave background anisotropy data, baryonic acoustic oscillations from SDSS and 2dFGRS and supernovae data from SNLS and Gold-set, were used to constrain the neutrino mass.
Journal ArticleDOI

Reconstructing interacting entropy-corrected holographic scalar field models of dark energy in the non-flat universe

TL;DR: In this paper, the entropy-corrected version of the holographic dark energy (DE) model in the non-flat universe was considered and the potential and the dynamics of the quintessence, tachyon, K-essence and dilaton scalar field models were reconstructed.
Journal ArticleDOI

Running vacuum in quantum field theory in curved spacetime: renormalizing $\rho_{vac}$ without $\sim m^4$ terms

TL;DR: The running vacuum model (RVM) as mentioned in this paper is a running quantity in quantum field theory (QFT) in curved spacetime that is characterized by the vacuum energy density, a series of powers of the Hubble parameter and its time derivatives.
Journal ArticleDOI

On stability of a neutron star system in Palatini gravity

TL;DR: In this article, the generalized Tolman-Oppenheimer-Volkoff equations were formulated for the case of static and spherical symmetric geometry, and it was shown that a neutron star can be a stable system independently of the form of the functional function.
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Remarks on dynamical dark energy measured by the conformal age of the universe

TL;DR: Wei et al. as discussed by the authors proposed a conformal dark energy model, where the model can be adjusted to the present values of the dark energy density fraction for almost any value of the numerical constant.
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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