The potential of X-ray cluster surveys to constrain primordial non-Gaussianity

TL;DR

This paper forecasts how future X-ray galaxy cluster surveys can tightly constrain primordial non-Gaussianity, especially the f_nl parameter, by analyzing number counts and large-scale clustering with Fisher matrix techniques.

Contribution

It introduces a comprehensive forecast method combining number counts and power spectrum for constraining primordial non-Gaussianity using X-ray cluster surveys, including self-calibration and Planck priors.

Findings

Future surveys can constrain f_nl to about 10 at 1 sigma.

Power spectrum provides strong constraints on non-Gaussianity.

Constraints on f_nl are weakly affected by nuisance parameter uncertainties.

Abstract

We present forecasts for constraints on deviations from Gaussian distribution of primordial density perturbations from future X-ray surveys of galaxy clusters. Our analysis is based on computing the Fisher-Matrix for number counts and large-scale power spectrum of clusters. We consider a survey with high-sensitivity and wide-area to detect about 2.5 x 10^5 extended sources. Based on the self-calibration approach, and including Planck priors in our analysis, we constrain 9 cosmological parameters and 4 nuisance parameters, which define the relation between cluster mass and X-ray flux. Because of the scale dependence of large-scale bias induced by local-shape non-Gaussianity, we find that the power spectrum provides strong constraints on the non-Gaussianity f_nl parameter, which complement the stringent constraints on the power spectrum normalization, \sigma_8, from the number counts. To quantify the joint constraints on theese two parameters, that specify the timing of structure formation for a fixed background expansion, we define the figure-of-merit FoM_SFT = (det[Cov(sigma_8,f_nl)])^{-1/2}. We find that our surveys constrain deviations from Gaussianity with a precision of \Delta f_nl~10 at 1 \sigma confidence level, with FoM_SFT~39. We point out that constraints on f_nl are weakly sensitive to the uncertainties in the knowledge of nuisance parameters. As an application of non-Gaussian constraints from available data, we analyse the impact of positive skewness on the occurrence of XMMU-J2235, a massive distant cluster discovered at z~1.4. We confirm that in a WMAP-7 Gaussian Lambda CDM cosmology, within the survey volume, ~5x10^{-3} objects like this are expected to be found: to increase this probability by a factor of at least 10, one needs to evade either the available constraints on f_nl or sigma_8.