Constraining the dynamical dark energy parameters: Planck-2013 vs WMAP9
arXiv:1312.6579 · doi:10.1088/1475-7516/2014/05/030
Abstract
We determine the best-fit values and confidence limits for dynamical dark energy parameters together with other cosmological parameters on the basis of different datasets which include WMAP9 or Planck-2013 results on CMB anisotropy, BAO distance ratios from recent galaxy surveys, magnitude-redshift relations for distant SNe Ia from SNLS3 and Union2.1 samples and the HST determination of the Hubble constant. We use a Markov Chain Monte Carlo routine to map out the likelihood in the multi-dimensional parameter space. We show that the most precise determination of cosmological parameters with the narrowest confidence limits is obtained for the Planck{+}HST{+}BAO{+}SNLS3 dataset. The best-fit values and 2 confidence limits for cosmological parameters in this case are , , , , , , , , . For this dataset, the CDM model is just outside the 2 confidence region, while for the dataset WMAP9{+}HST{+}BAO{+}SNLS3 the CDM model is only 1 away from the best fit. The tension in the determination of some cosmological parameters on the basis of two CMB datasets WMAP9 and Planck-2013 is highlighted.
16 pages, 5 figures, 2 tables; accepted for publication in JCAP
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