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Dynamical dark energy: Current constraints and forecasts

Open access
Upadhye, Amol, Ishak, Mustapha, Steinhardt, Paul J.·2005·Physical Review D

Abstract

We consider how well the dark energy equation of state $w$ as a function of redshift $z$ will be measured using current and anticipated experiments. We use a procedure which takes fair account of the uncertainties in the functional dependence of $w$ on $z$, as well as the parameter degeneracies, and avoids the use of strong prior constraints. We apply the procedure to current data from the Wilkinson Microwave Anisotropy Probe, Sloan Digital Sky Survey, and the supernova searches, and obtain results that are consistent with other analyses using different combinations of data sets. The effects of systematic experimental errors and variations in the analysis technique are discussed. Next, we use the same procedure to forecast the dark energy constraints achievable by the end of the decade, assuming 8 years of Wilkinson Microwave Anisotropy Probe data and realistic projections for ground-based measurements of supernovae and weak lensing. We find the $2\ensuremath{\sigma}$ constraints on the current value of $w$ to be $\ensuremath{\Delta}{w}_{0}(2\ensuremath{\sigma})=0.20$, and on $dw/dz$ (between $z=0$ and $z=1$) to be $\ensuremath{\Delta}{w}_{1}(2\ensuremath{\sigma})=0.37$. Finally, we compare these limits to other projections in the literature. Most show only a modest improvement; others show a more substantial improvement, but there are serious concerns about systematics. The remaining uncertainty still allows a significant span of competing dark energy models. Most likely, new kinds of measurements, or experiments more sophisticated than those currently planned, are needed to reveal the true nature of dark energy.

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Metadata

Authors
Upadhye, A., Ishak, M., & Steinhardt, P. J.
Venue
Physical Review D
Published
2005-09-01
Volume
72
Issue
6
ISSN
  • 0556-2821 (ISSN-L)
  • 1550-7998
  • 1550-2368
OpenAlex
W2154876830
Cited by
191
References
10
FWCI
18.94
Type
journal article
Language
en
Open access
green

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