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相关论文: A User-Friendly Dark Energy Model Generator

200 篇论文

In this paper we analyze the constraints on the property of dark energy from cosmological observations. Together with SNe Ia Gold sample, WMAP, SDSS and 2dFGRS data, we include 69 long Gamma-Ray Bursts (GRBs) data in our study and perform…

天体物理学 · 物理学 2008-11-26 Hong Li , Meng Su , Zuhui Fan , Zigao Dai , Xinmin Zhang

A huge amount of good quality data converges towards the picture of a spatially flat universe undergoing the today observed phase of accelerated expansion. This new observational trend is commonly addressed as Precision Cosmology. Despite…

广义相对论与量子宇宙学 · 物理学 2008-12-02 S. Capozziello

We propose that dark energy in the form of a scalar field could effectively couple to dark matter inhomogeneities. Through this coupling energy could be transferred to/from the scalar field, which could possibly enter an accelerated regime.…

宇宙学与河外天体物理 · 物理学 2016-04-25 Valerio Marra

We review and develop a new class of "dark energy" models, in which the relativistic theory of solids is used to construct material models of dark energy. These are models which include the effects of a continuous medium with well defined…

宇宙学与河外天体物理 · 物理学 2015-06-19 Jonathan A. Pearson

To determine the nature of dark energy from observational data, it is important that we use model-independent and optimal methods. We should probe dark energy using its density (allowed to be a free function of cosmic time) instead of its…

天体物理学 · 物理学 2009-11-10 Yun Wang

In the proposed model with interaction between dark energy and dark matter, we consider cosmological scenarios with different equations of state ($w_d$) for dark energy. For both constant and variable equation of state, we analyze solutions…

广义相对论与量子宇宙学 · 物理学 2017-10-18 Supriya Pan , German S. Sharov

In this work, we present two generalized formulations of the Holographic and Ricci Dark Energy (DE) models, given by $ \rho_{GH} = 3c^2M^{2}_{pl} \left[ 1-\epsilon\left(1-\frac{R}{H^2}\right) \right]H^2$ and $\rho_{GR} =…

广义相对论与量子宇宙学 · 物理学 2025-10-29 Antonio Pasqua

Training energy-based probabilistic models is confronted with apparently intractable sums, whose Monte Carlo estimation requires sampling from the estimated probability distribution in the inner loop of training. This can be approximately…

机器学习 · 计算机科学 2016-06-13 Taesup Kim , Yoshua Bengio

We construct $(m,n)$-type holographic dark energy models at a phenomenological level, which can be viewed as a generalization of agegraphic models with the conformal-like age as the holographic characteristic size. For some values of…

广义相对论与量子宇宙学 · 物理学 2013-09-19 Yi Ling , Wen-Jian Pan

A two-component fluid representing dark energy is studied. One of the components has a polytropic form, while the other has a barotropic form. Exact solutions are obtained and the cosmological parameters are constrained using supernova type…

天体物理学 · 物理学 2016-08-15 Fabrício Casarejos , J. C. Fabris , S. V. B. Gonçalves , Jaime F. Villas da Rocha

We introduce a modified form of the Phenomenologically Emergent Dark Energy (PEDE) model by showing a very elegant approach. The model is named as Modified Emergent Dark Energy (MEDE) to distinguish from PEDE model and it includes…

广义相对论与量子宇宙学 · 物理学 2020-08-24 H. B. Benaoum , Weiqiang Yang , Supriya Pan , Eleonora Di Valentino

We explore the possibility that the dark energy is due to a potential of a scalar field and that the magnitude and the slope of this potential in our part of the universe are largely determined by anthropic selection effects. We find that,…

高能物理 - 理论 · 物理学 2009-09-29 Jaume Garriga , Andrei Linde , Alexander Vilenkin

We make a comparative analysis of the various independent methods proposed in the literature for studying the nature of dark energy, using four different mocks of SnIa data. In particular, we explore a generic principal components analysis…

宇宙学与河外天体物理 · 物理学 2013-09-19 Savvas Nesseris , Juan Garcia-Bellido

We present evidence that the simplest particle-physics scalar-field models of dynamical dark energy can be separated into distinct behaviors based on the acceleration or deceleration of the field as it evolves down its potential towards a…

天体物理学 · 物理学 2008-11-26 R. R. Caldwell , Eric V. Linder

The main aim of this paper is to perform a model comparison for some reconstructions of the key properties that describe the dark energy of the Universe i.e. energy density and the equation of state (EoS). We carry out this process by using…

宇宙学与河外天体物理 · 物理学 2023-03-28 Luis A. Escamilla , J. Alberto Vazquez

A model of unification of dark matter and dark energy based on the modeling of the speed of sound as a function of the parameter of the equation of state is introduced. It is found that the model in which the speed of sound depends on the…

宇宙学与河外天体物理 · 物理学 2013-04-04 Neven Caplar , Hrvoje Stefancic

Geometrothermodynamics is a geometric theory which combines thermodynamics with contact and Riemannian geometry. In this work we use the formalism of geometrothermodynamics to infer cosmological models which predict the observed speed up.…

广义相对论与量子宇宙学 · 物理学 2025-11-12 Alessandro Bravetti , Orlando Luongo

We introduce a multifield dark energy model with a nonflat field-space metric, in which one field is dynamical while the others have constant spatial gradients. The model is predictive at the background level, leading to an early dark…

宇宙学与河外天体物理 · 物理学 2024-09-04 Juan P. Beltrán Almeida , Alejandro Guarnizo , Thiago S. Pereira , César A. Valenzuela-Toledo

This review summarizes recent attempts to reconstruct the expansion history of the Universe and to probe the nature of dark energy. Reconstruction methods can be broadly classified into parametric and non-parametric approaches. It is…

天体物理学 · 物理学 2008-11-26 Varun Sahni , Alexei Starobinsky

In the original holographic dark energy (HDE) model, the dark energy density is proposed to be $\rho_{de} = 3c^2M^2_{pl}L^{-2}$, with $c$ is a dimensionless constant characterizing the properties of the HDE. In this work, we propose the…

宇宙学与河外天体物理 · 物理学 2012-06-25 Zhenhui Zhang , Miao Li , Xiao-Dong Li , Shuang Wang , Wen-Shuai Zhang