Implications of bias evolution on measurements of the integrated Sachs-Wolfe effect: errors and biases in parameter estimation

Abstract

The subject of this paper is a quantification of the impact of uncertainties in bias and bias evolution on the interpretation of measurements of the integrated Sachs-Wolfe effect, in particular on the estimation of cosmological parameters. We carry out a Fisher-matrix analysis for quantifying the degeneracies between the parameters of a dark energy cosmology and bias evolution, for the combination of the PLANCK microwave sky survey with the EUCLID main galaxy sample, where bias evolution b(a)=b_0+(1-a)b_a is modelled with two parameters b_0 and b_a. Using a realistic bias model introduces a characteristic suppression of the iSW-spectrum on large angular scales, due to the altered distance-weighting functions. The errors in estimating cosmological parameters if the data with evolving bias is interpreted in the framework of cosmologies with constant bias is quantified in an extended Fisher-formalism. We find that the best-fit values of all parameters are shifted by an amount comparable to the statistical accuracy: The estimation bias in units of the statistical accuracy amounts to 1.19 for Omega_m, 0.27 for sigma_8, and 0.72 for w for bias evolution with b_a=1. Leaving b_a open as a free parameter deteriorates the statistical accuracy, in particular on Omega_m and w.

8 pages, 6 figures, 1 table, submitted to MNRAS

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• A Consistent Comparison of Bias Models using Observational Data
• ISW-Galaxy Cross Correlation:A probe of Dark Energy clustering and distribution of Dark Matter tracers
• The generalized evolution of linear bias: a tool to test gravity
• ISW-LSS cross-correlation in coupled Dark Energy models with massive neutrinos
• The Integrated Sachs-Wolfe Effect in the Bulk Viscous Dark Energy Model
• Testing General Relativity Using the Evolution of Linear Bias
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• Comparison of the linear bias models in the light of the Dark Energy Survey