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相关论文: Uncorrelated Estimates of Dark Energy Evolution

200 篇论文

One of the key issues in cosmology is to establish the nature of dark energy, and to determine whether the equation of state evolves with time. When estimating this from distance measurements there is a degeneracy with the matter density.…

宇宙学与河外天体物理 · 物理学 2016-05-23 Vinicius C. Busti , Chris Clarkson

In this paper, we use the type Ia supernovae data to constrain the holographic dark energy model proposed by Li. We also apply a cosmic age test to this analysis. We consider in this paper a spatially flat Friedmann-Robertson-Walker…

天体物理学 · 物理学 2008-11-26 Xin Zhang , Feng-Quan Wu

We discuss the possibility to identify anisotropic and/or inhomogeneous cosmological models using type Ia supernova data. A search for correlations in current type Ia peak magnitudes over a large range of angular scales yields a null…

天体物理学 · 物理学 2014-11-18 Michael Blomqvist , Edvard Mortsell , Serena Nobili

We discuss the possible consistency of the recently discovered Type Ia supernovae at z>1 with models in which dark energy is strongly coupled to a significant fraction of dark matter, and in which an (asymptotic) accelerated phase exists…

天体物理学 · 物理学 2009-11-10 Luca Amendola , Maurizio Gasperini , Federico Piazza

In the Cardassian model, dark energy density arises from modifications to the Friedmann equation, which becomes $H^2 = g(\rhom)$, where $g(\rhom)$ is a new function of the energy density. The universe is flat, matter dominated, and…

天体物理学 · 物理学 2009-11-07 Yun Wang , Katherine Freese , Paolo Gondolo , Matthew Lewis

The discovery of dark energy by the first generation of high-redshift supernova surveys has generated enormous interest beyond cosmology and has dramatic implications for fundamental physics. Distance measurements using supernova explosions…

宇宙学与河外天体物理 · 物理学 2015-03-18 Ariel Goobar , Bruno Leibundgut

A new component of the Universe which leads to an accelerated cosmic expansion is found from the measurements of distances to high-redshift type Ia supernovae. We describe the method and the results obtained from the observations of distant…

天体物理学 · 物理学 2007-05-23 Bruno Leibundgut , Gertrud Contardo , Patrick Woudt , Jason Spyromilio

We investigate observational constraints on the curvature of the universe not restricting ourselves to a cosmological constant as dark energy, in particular allowing a dark energy equation of state to evolve with time in several ways. We…

天体物理学 · 物理学 2010-10-27 Kazuhide Ichikawa , Tomo Takahashi

We review the ability of redshift surveys to provide constraints on the Dark Energy content of the Universe. The matter power spectrum and dynamics at the present epoch are nearly `blind' to Dark Energy, but combined with the CMB they can…

天体物理学 · 物理学 2007-05-23 Ofer Lahav

We examine how dark energy constraints from current observational data depend on the analysis methods used: the analysis of Type Ia supernovae (SNe Ia), and that of galaxy clustering data. We generalize the flux-averaging analysis method of…

宇宙学与河外天体物理 · 物理学 2013-05-30 Yun Wang , Chia-Hsun Chuang , Pia Mukherjee

In this paper, we use the joint measurement of geometry and growth rate from matter density perturbations to constrain the holographic dark energy model. The geometry measurement includes type Ia supernovae (SN Ia) Union2.1, full…

宇宙学与河外天体物理 · 物理学 2013-05-14 Lixin Xu

The most detailed constraints on the accelerating expansion of the universe and details of nature of dark energy are derived from the high redshift supernova data, assuming that the errors in the measurements are Gaussian in nature. There…

天体物理学 · 物理学 2011-01-27 Shashikant Gupta , Tarun Deep Saini , Tanmoy Laskar

We discuss bounds on the cosmological relativistic energy density as a function of redshift, reviewing the big bang nucleosynthesis and cosmic microwave background bounds, updating bounds from large scale structure, and introducing a new…

天体物理学 · 物理学 2009-11-07 Andrew R. Zentner , Terry P. Walker

We investigate a class of dark energy models in which the equation of state undergoes a rapid transition and for which the Hubble SN Ia diagram is known to be poorly discriminant. Interestingly enough, we find that transitions at high…

宇宙学与河外天体物理 · 物理学 2015-05-14 L. D. Ferramacho , A. Blanchard , Y. Zolnierowski , A. Riazuelo

In this work, we have proposed a general dark energy density parametrization to study the evolution of the universe. We have also constrained the model parameters using the combination of Type Ia supernova (SNIa), baryonic acoustic…

广义相对论与量子宇宙学 · 物理学 2018-07-25 Abdulla Al Mamon

We perform a cosmological parameter analysis of the 75 square degree CTIO lensing survey in conjunction with CMB and Type Ia supernovae data. For Lambda CDM cosmologies, we find that the amplitude of the power spectrum at low redshift is…

天体物理学 · 物理学 2008-11-26 Mike Jarvis , Bhuvnesh Jain , Gary Bernstein , Derek Dolney

Recent measurements of type Ia supernovae as well as other concordant observations suggest that the expansion of our universe is accelerating. A dark energy component has usually been invoked as the most feasible mechanism for the…

天体物理学 · 物理学 2014-10-13 Zong-Hong Zhu , Masa-Katsu Fujimoto , Xiang-Tao He

Relatively uniform light curves and spectral evolution of Type Ia supernovae (SNe Ia) have led to the use of SNe Ia as a ``standard candle'' to determine cosmological parameters, such as the Hubble constant, the density parameter, and the…

天体物理学 · 物理学 2007-05-23 Ken'ichi Nomoto , Hideyuki Umeda , Izumi Hachisu , Mariko Kato , Chiaki Kobayashi , Takuji Tsujimoto

The recent robust and homogeneous analysis of the world's supernova distance-redshift data, together with cosmic microwave background and baryon acoustic oscillation data, provides a powerful tool for constraining cosmological models. Here…

Reconstructing the evolution history of the dark energy equation of state parameter $w(z)$ directly from observational data is highly valuable in cosmology, since it contains substantial clues in understanding the nature of the accelerated…

宇宙学与河外天体物理 · 物理学 2016-08-31 Zhi-E Liu , Hao-Ran Yu , Tong-Jie Zhang , Yan-Ke Tang