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Title: Tracking dark energy with the integrated Sachs-Wolfe effect: Short and long-term predictions

Journal Article · · Physical Review. D, Particles Fields
;  [1];  [2]; ;  [3]
  1. Institute of Cosmology, Department of Physics and Astronomy, Tufts University, Medford, Massachusetts 02155 (United States)
  2. ISCAP, Columbia University, New York, New York 10027 (United States)
  3. ICG, University of Portsmouth, Portsmouth, PO1 2EG (United Kingdom)

We present an analysis of the constraining power of future measurements of the integrated Sachs-Wolfe (ISW) effect on models of the equation of state of dark energy as a function of redshift, w(z). To achieve this, we employ a new parametrization of w, which utilizes the mean value of w(z) (<w>) as an explicit parameter. This helps to separate the information contained in the estimation of the distance to the last scattering surface (from the cosmic microwave background (CMB)) from the information contained in the ISW effect. We then use Fisher analysis to forecast the expected uncertainties in the measured parameters from future ISW observations for two models of dark energy with very different time evolution properties. For example, we demonstrate that the cross correlation of Planck CMB data and large synoptic survey telescope (LSST) galaxy catalogs will provide competitive constraints on w(z), compared to a supernovae acceleration probe (SNAP)-like supernovae (SNe) project, for models of dark energy with a rapidly changing equation of state (e.g. Kink models). Our work confirms that, while SNe measurements are more suitable for constraining variations in w(z) at low redshift, the ISW effect can provide important independent constraints on w(z) at high z.

OSTI ID:
20711546
Journal Information:
Physical Review. D, Particles Fields, Vol. 72, Issue 10; Other Information: DOI: 10.1103/PhysRevD.72.103519; (c) 2005 The American Physical Society; Country of input: International Atomic Energy Agency (IAEA); ISSN 0556-2821
Country of Publication:
United States
Language:
English

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