2005
DOI: 10.1111/j.1745-3933.2005.08577.x
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WMAP constraints on low redshift evolution of dark energy

Abstract: The conceptual difficulties associated with a cosmological constant have led to the investigation of alternative models in which the equation of state parameter, $w=p/\rho$, of the dark energy evolves with time. We show that combining the supernova type Ia observations {\it with the constraints from WMAP observations} restricts large variation of $\rho(z)$ at low redshifts. The combination of these two observational constraints is stronger than either one. The results are completely consistent with the cosmolo… Show more

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Cited by 360 publications
(297 citation statements)
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“…Due to the lack of a compelling fundamental theory to explain the dark energy, another route, the model-independent dark energy reconstructions, have drawn more and more attentions [566,709,710,711,712,713,714,715,716,717].…”
Section: Model-independent Dark Energy Reconstructionsmentioning
confidence: 99%
“…Due to the lack of a compelling fundamental theory to explain the dark energy, another route, the model-independent dark energy reconstructions, have drawn more and more attentions [566,709,710,711,712,713,714,715,716,717].…”
Section: Model-independent Dark Energy Reconstructionsmentioning
confidence: 99%
“…Currently, there is no strong observational evidence either for departures from w = −1 or for a time evolution of the dark energy EoS. However, since such results would be of great impact on cosmology, a number of studies on dark energy parameterisations have been discussed in the literature (see, e.g., [11][12][13][14][15][16] and references therein).…”
Section: Introductionmentioning
confidence: 99%
“…The fact that the model fits the data quite well is appealing but to improve on it we must add further necessary features which are required for a realistic cosmological model. Finally, it might be worthwhile looking at cosmological perturbations in this model and try to use WMAP data to set more stringent bounds on the parameters [17,18].…”
Section: Figmentioning
confidence: 99%