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相关论文: A model-independent reconstruction of dark energy …

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In this paper, we employ two model-independent approaches, including redshift binning method and polynomial interpolation method, to reconstruct dark energy (DE) equation of state (EoS) $w(z)$ and DE density function $f(z)$. Our analysis…

宇宙学与河外天体物理 · 物理学 2025-11-18 Jun-Xian Li , Shuang Wang

We put forward a new model-independent reconstruction scheme for dark energy which utilises the expected geometrical features of the luminosity-distance relation. The important advantage of this scheme is that it does not assume explicit…

天体物理学 · 物理学 2008-11-26 Stephane Fay , Reza Tavakol

An important issue in cosmology is reconstructing the effective dark energy equation of state directly from observations. With so few physically motivated models, future dark energy studies cannot only be based on constraining a dark energy…

宇宙学与河外天体物理 · 物理学 2014-11-20 Chris Clarkson , Caroline Zunckel

The evolution of dark energy density is a crucial quantity in understanding the nature of dark energy. Often, the quantity is described by the so-called equation of state, that is the ratio of dark energy pressure to its density. In this…

宇宙学与河外天体物理 · 物理学 2022-01-14 Ahmad Mehrabi , Maryam Vazirnia

We develop a formalism to characterize the redshift evolution of the dark energy potential. Our formalism makes use of quantities similar to the Horizon-flow parameters in inflation and is general enough that can deal with multiscalar…

天体物理学 · 物理学 2008-11-26 Joan Simon , Licia Verde , Raul Jimenez

For the first time, we reconstruct the dark energy equation of the state parameter $w$ from the combination of background and perturbation observations, specifically combining the Hubble parameter data from cosmic chronometer observations…

宇宙学与河外天体物理 · 物理学 2024-07-15 Bikash R. Dinda , Narayan Banerjee

We investigate the dynamical properties of dark energy through a detailed analysis of its equation of state parameter $w(z)$ as a function of redshift. We derive a general expression for $w(z)$ from the Friedmann-Lema\^itre-Robertson-Walker…

宇宙学与河外天体物理 · 物理学 2025-05-29 J. W. Moffat , E. J. Thompson

Combined measurements of Baryon Acoustic Oscillations (BAO) from the Dark Energy Spectroscopic Survey (DESI), the Cosmic Microwave Background (CMB) and Type Ia Supernovae (SN Ia), have recently challenged the $\Lambda$-Cold Dark Matter…

宇宙学与河外天体物理 · 物理学 2025-12-10 Rayff de Souza , Agripino Sousa-Neto , Javier E. González , Jailson Alcaniz

Cosmological parameters and dark energy (DE) behavior are generally constrained assuming \textit{a priori} models. We work out a model-independent reconstruction to bound the key cosmological quantities and the DE evolution. Through the…

宇宙学与河外天体物理 · 物理学 2025-01-22 Orlando Luongo , Marco Muccino

We parameterize the equation of state of late-time dark energy as $w_{\mathrm{bin}}(z)$, with three redshift bins, characterized by a constant equation of state in each bin. Then, we constrain the parameters of the $w_{\mathrm{bin}}$CDM…

宇宙学与河外天体物理 · 物理学 2024-08-28 Ye-Huang Pang , Xue Zhang , Qing-Guo Huang

We study the dynamical properties of dark energy based on a large family of PADE parameterizations for which the dark energy density evolves as a ratio between two polynomials in the scale factor of the universe. Using the latest…

宇宙学与河外天体物理 · 物理学 2018-11-14 A. Mehrabi , S. Basilakos

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

We present a model-independent reconstruction of the quintessence scalar field's dynamics-both its potential and kinetic energy-directly from the latest cosmological observations. Our analysis combines DESI DR2 baryon acoustic oscillation…

宇宙学与河外天体物理 · 物理学 2026-04-21 Shengjia Wang , Tian-Nuo Li , Tonghua Liu , Guo-Hong Du

We have improved upon the method of smoothing supernovae data to reconstruct the expansion history of the universe, h(z), using two latest datasets, Gold and SNLS. The reconstruction process does not employ any parameterization and is…

天体物理学 · 物理学 2009-03-19 Arman Shafieloo

One of the main challenges of modern cosmology is to investigate the nature of dark energy in our Universe. The properties of such a component are normally summarised as a perfect fluid with a (potentially) time-dependent equation-of-state…

宇宙学与河外天体物理 · 物理学 2013-03-19 J. Alberto Vazquez , M. Bridges , M. P. Hobson , A. N. Lasenby

We introduce a new parametrization for the dark energy, led by the same idea to the linear expansion of the equation of state in scale factor $a$ and in redshift $z$, which diverges neither in the past nor future and contains the same…

宇宙学与河外天体物理 · 物理学 2015-07-01 Ozgur Akarsu , Tekin Dereli , J. Alberto Vazquez

We reconstruct evolution of the dark energy (DE) density using a nonparametric Bayesian approach from a combination of latest observational data. We caution against parameterizing DE in terms of its equation of state as it can be singular…

宇宙学与河外天体物理 · 物理学 2018-12-12 Yuting Wang , Levon Pogosian , Gong-Bo Zhao , Alex Zucca

We present a model--independent reconstruction of the normalized dark energy density function, $X(z) \equiv \rho_{\mathrm{de}}(z)/\rho_{\mathrm{de}}(0)$, derived directly from the DES-SN5YR Type~Ia supernova sample. The analysis employs an…

宇宙学与河外天体物理 · 物理学 2025-10-23 José Blanco , Víctor H. Cárdenas , Cuauhtémoc Campuzano

We perform a model-independent investigation of the thermodynamic evolution of the Universe by reconstructing the expansion history from observational data using Gaussian Process regression. We consider three independent combinations of…

宇宙学与河外天体物理 · 物理学 2026-04-22 Afaq Maqsood , Tanima Duary

Understanding the physical nature of the dark energy which appears to drive the accelerated expansion of the unvierse is one of the key problems in physics and cosmology today. This important problem is best studied using a variety of…

天体物理学 · 物理学 2007-05-23 Ruth A. Daly , S. G. Djorgovski
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