A numerical study of the effects of primordial non-Gaussianities on weak lensing statistics
Abstract
While usually cosmological initial conditions are assumed to be Gaussian, inflationary theories can predict a certain amount of primordial non-Gaussianity which can have an impact on the statistical properties of the lensing observables. In order to evaluate this effect, we build a large set of realistic maps of different lensing quantities starting from light-cones extracted from large dark-matter only N-body simulations with initial conditions corresponding to different levels of primordial local non-Gaussianity strength . Considering various statistical quantities (PDF, power spectrum, shear in aperture, skewness and bispectrum) we find that the effect produced by the presence of primordial non-Gaussianity is relatively small, being of the order of few per cent for values of compatible with the present CMB constraints and reaching at most 10-15 per cent for the most extreme cases with . We also discuss the degeneracy of this effect with the uncertainties due to the power spectrum normalization and matter density parameter , finding that an error in the determination of () of about 3 (10) per cent gives differences comparable with non-Gaussian models having . These results suggest that the possible presence of an amount of primordial non-Gaussianity corresponding to is not hampering a robust determination of the main cosmological parameters in present and future weak lensing surveys, while a positive detection of deviations from the Gaussian hypothesis is possible only breaking the degeneracy with other cosmological parameters and using data from deep surveys covering a large fraction of the sky.
Keywords
Cite
@article{arxiv.1005.0242,
title = {A numerical study of the effects of primordial non-Gaussianities on weak lensing statistics},
author = {F. Pace and L. Moscardini and M. Bartelmann and E. Branchini and K. Dolag and M. Grossi and S. Matarrese},
journal= {arXiv preprint arXiv:1005.0242},
year = {2015}
}
Comments
accepted by MNRAS