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      Designing a space-based galaxy redshift survey to probe dark energy

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          Abstract

          A space-based galaxy redshift survey would have enormous power in constraining dark energy and testing general relativity, provided that its parameters are suitably optimized. We study viable space-based galaxy redshift surveys, exploring the dependence of the Dark Energy Task Force (DETF) figure-of-merit (FoM) on redshift accuracy, redshift range, survey area, target selection, and forecast method. Fitting formulae are provided for convenience. We also consider the dependence on the information used: the full galaxy power spectrum P(k, P(k) marginalized over its shape, or just the Baryon Acoustic Oscillations (BAO). We find that the inclusion of growth rate information (extracted using redshift space distortion and galaxy clustering amplitude measurements) leads to a factor of ~ 3 improvement in the FoM, assuming general relativity is not modified. This inclusion partially compensates for the loss of information when only the BAO are used to give geometrical constraints, rather than using the full P(k) as a standard ruler. We find that a space-based galaxy redshift survey covering ~20,000 deg^2 over 0.5< z < 2 with \sigma_z/(1+z)<= 0.001 exploits a redshift range that is only easily accessible from space, extends to sufficiently low redshifts to allow both a vast 3-D map of the universe using a single tracer population, and overlaps with ground-based surveys to enable robust modeling of systematic effects. We argue that these parameters are close to their optimal values given current instrumental and practical constraints.

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          Accelerating Universes with Scaling Dark Matter

          Friedmann-Robertson-Walker universes with a presently large fraction of the energy density stored in an \(X\)-component with \(w_X<-1/3\), are considered. We find all the critical points of the system for constant equations of state in that range. We consider further several background quantities that can distinguish the models with different \(w_X\) values. Using a simple toy model with a varying equation of state, we show that even a large variation of \(w_X\) at small redshifts is very difficult to observe with \(d_L(z)\) measurements up to \(z\sim 1\). Therefore, it will require accurate measurements in the range \(1
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            Reconciling dark energy models with f(R) theories

            Higher order theories of gravity have recently attracted a lot of interest as alternative candidates to explain the observed cosmic acceleration without the need of introducing any scalar field. A critical ingredient is the choice of the function f(R) of the Ricci scalar curvature entering the gravity Lagrangian and determining the dynamics of the universe. We describe an efficient procedure to reconstruct f(R) from the Hubble parameter \(H\) depending on the redshift z. Using the metric formulation of f(R) theories, we derive a third order linear differential equation for f(R(z)) which can be numerically solved after setting the boundary conditions on the basis of physical considerations. Since H(z) can be reconstructed from the astrophysical data, the method we present makes it possible to determine, in principle, what is the f(R) theory which best reproduces the observed cosmological dynamics. Moreover, the method allows to reconcile dark energy models with f(R) theories finding out what is the expression of f(R) which leads to the same H(z) of the given quintessence model. As interesting examples, we consider "quiessence" (dark energy with constant equation of state) and the Chaplygin gas.
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              Model selection forecasts for the spectral index from the Planck satellite

              The recent WMAP3 results have placed measurements of the spectral index n_S in an interesting position. While parameter estimation techniques indicate that the Harrison-Zel'dovich spectrum n_S=1 is strongly excluded (in the absence of tensor perturbations), Bayesian model selection techniques reveal that the case against n_S=1 is not yet conclusive. In this paper, we forecast the ability of the Planck satellite mission to use Bayesian model selection to convincingly exclude (or favour) the Harrison-Zel'dovich model.
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                Author and article information

                Journal
                17 June 2010
                2010-07-08
                Article
                10.1111/j.1365-2966.2010.17335.x
                1006.3517
                17608d41-34c9-41cb-9959-db8dde0973e8

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                MNRAS, 409, 737 (2010)
                13 pages, 5 figures. Version with slightly modified text. Accepted by MNRAS
                astro-ph.CO gr-qc hep-ph

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