Probing the dark side: Constraints on the dark energy equation of state from CMB, large scale structure and Type Ia supernovae
Steen Hannestad, Edvard Mortsell
TL;DR
This paper relaxes the common prior $w_Q>-1$ and analyzes a constant $w_Q$ dark-energy model using CMB, LSS, and Type Ia SN data to derive unbiased constraints. A joint likelihood with $C_l$ and $P(k)$ from CMB+2dF, plus SN distance moduli, yields a 95.4% CL bound of $-2.68 < w_Q < -0.78$; imposing $w_Q>-1$ tightens to $-1 \le w_Q < -0.71$, while a cosmological constant remains a good fit. The analysis shows relaxing the prior does not substantially bias the region above $-1$, though some datasets prefer $w_Q<-1$, and highlights the non-trivial lower bound that emerges from combining probes. Forecasts for Planck and SNAP/SNfactory data suggest that $w_Q$ could be constrained at the ~5% level, contingent on controlling systematic uncertainties such as gravitational lensing.
Abstract
We have reanalysed constraints on the equation of state parameter, w_Q = P/rho, of the dark energy, using several cosmological data sets and relaxing the usual constraint w_Q > -1. We find that combining Cosmic Microwave Background, large scale structure and Type Ia supernova data yields a non-trivial lower bound on w_Q. At 95.4% confidence we find, assuming a flat geometry of the universe, a bound of -2.68 < w_Q < -0.78 if w_Q is taken to be a completely free parameter. Reassuringly we also find that the constraint w_Q > -1 does not significantly bias the overall allowed region for w_Q. When this constraint is imposed the 95.4% confidence bound is -1 < w_Q < -0.71. Also, a pure cosmological constant (w = -1) is an excellent fit to all available data. Based on simulations of future data from the Planck CMB experiment and the SNAP and SNfactory supernova experiments we estimate that it will be possible to constrain w_Q at the 5% level in the future.
