Parameter estimation biases due to contributions from the Rees-Sciama effect to the integrated Sachs-Wolfe spectrum
Abstract
The subject of this paper is an investigation of the nonlinear contributions to the spectrum of the integrated Sachs-Wolfe (iSW) effect. We derive the corrections to the iSW-auto spectrum and the iSW-tracer cross-spectrum consistently to third order in perturbation theory and analyse the cumulative signal-to-noise ratio for a cross-correlation between the PLANCK and EUCLID data sets as a function of multipole order. We quantify the parameter sensitivity and the statistical error bounds on the cosmological parameters Omega_m, sigma_8, h, n_s and w from the linear iSW-effect and the systematical parameter estimation bias due to the nonlinear corrections in a Fisher-formalism, analysing the error budget in its dependence on multipole order. Our results include: (i) the spectrum of the nonlinear iSW-effect can be measured with 0.8\sigma statistical significance, (ii) nonlinear corrections dominate the spectrum starting from l=100, (iii) an anticorrelation of the CMB temperature with tracer density on high multipoles in the nonlinear regime, (iv) a much weaker dependence of the nonlinear effect on the dark energy model compared to the linear iSW-effect, (v) parameter estimation biases amount to less than 0.1 sigma and weaker than other systematics.
Keywords
Cite
@article{arxiv.1010.1096,
title = {Parameter estimation biases due to contributions from the Rees-Sciama effect to the integrated Sachs-Wolfe spectrum},
author = {Bjoern Malte Schaefer and Angelos Fotios Kalovidouris and Lavinia Heisenberg},
journal= {arXiv preprint arXiv:1010.1096},
year = {2013}
}
Comments
9 pages, 8 figures, submitted to MNRAS