Extreme spheres: counts-in-cells for 21cm intensity mapping. Issue 1 (21st December 2018)

• Record Type: Journal Article
• Authors: Leicht, Oliver; Uhlemann, Cora; Villaescusa-Navarro, Francisco; Codis, Sandrine; Hernquist, Lars; Genel, Shy
• Is Part Of: Monthly notices of the Royal Astronomical Society. Volume 484:Issue 1(2019)
• Page Start: 269
• Page End: 281
• Publication Date: 2018-12-21
• Subjects: methods: analytical -- methods: numerical -- large-scale structure of Universe -- cosmology: theory; Astronomy -- Periodicals; Periodicals; 520.5
• DOI: 10.1093/mnras/sty3469
• Languages: English
• ISSNs: 0035-8711

Abstract

ABSTRACT: Intensity mapping surveys will provide access to a coarse view of the cosmic large-scale structure at high redshifts. Given the large fraction of the sky that can be efficiently scanned using emission from cosmic neutral hydrogen (H i ), intensity mapping is ideally suited to probe a wide range of density environments and hence to constrain cosmology and fundamental physics. To efficiently extract information from 21 cm intensities beyond average, one needs non-Gaussian statistics that capture large deviations from the mean H i density. Counts-in-cells are ideally suited for this purpose, as their statistics can be predicted accurately. We use a large state-of-the-art magnetohydrodynamic simulation from the IllustrisTNG project to determine the relation between neutral hydrogen and matter densities in cells. We demonstrate how our theoretical knowledge about the matter probability density function (PDF) for a given cosmology can be used to extract a parametrization-independent H i bias function from a measured H i PDF. Inspired by the shape of this bias function, we employ a simple quadratic approximation that reproduces the measured bias function at a few per cent level. Combining this quadratic bias function with the predicted matter PDF yields a fully predictive forward model for the H i PDF that matches the measured H i PDF at a few per cent accuracy at scale R = 5 Mpc h −1 from redshift z = 5 to z = 1. Furthermore, we find a density-dependent H i clustering signal that is consistent with theoretical expectations and could allow for joint constraints of H i bias and the amplitude of matter fluctuations or the growth of structure.