Abstract
We studied the effect of primordial non-Gaussianity with varied bispectrum shapes on the number counts of signal-to-noise ratio peaks in wide-field cosmic shear maps. The two cosmological contributions to this particular weak lensing statistic, namely the chance projection of Large Scale Structure (LSS) and the occurrence of real, cluster-sized dark matter haloes, have been modelled semianalytically, thus allowing to easily introduce the effect of non-Gaussian initial conditions. We performed a Fisher matrix analysis by taking into account the full covariance of the peak counts in order to forecast the joint constraints on the level of primordial non-Gaussianity and the amplitude of the matter power spectrum that are expected from future wide-field imaging surveys. We find that positive-skewed non-Gaussianity increases the number counts of cosmic shear peaks, more so at high signal-to-noise ratio values, where the signal is mostly dominated by massive clusters as expected. The increment is at the level of ∼1 per cent for fNL= 10 and ∼10 per cent for fNL= 100 for a local shape of the primordial bispectrum, while different bispectrum shapes give generically a smaller effect. For a future survey on the model of the proposed ESA space mission Euclid and by avoiding the level of non-Gaussianity of ∼30-40 for the local and equilateral modestrong assumption of being capable of distinguishing the weak-lensing signal of galaxy clusters from the chance projection of LSSs, we forecast a 1σ error on thels, and of ∼100-200 for the less explored enfolded and orthogonal bispectrum shapes. © 2011 The Authors Monthly Notices of the Royal Astronomical Society © 2011 RAS.
Author supplied keywords
Cite
CITATION STYLE
Maturi, M., Fedeli, C., & Moscardini, L. (2011). Imprints of primordial non-Gaussianity on the number counts of cosmic shear peaks. Monthly Notices of the Royal Astronomical Society, 416(4), 2527–2538. https://doi.org/10.1111/j.1365-2966.2011.18958.x
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.