Cosmology with a SKA HI intensity mapping survey

By Mário G. Santos, P. Bull, D. Alonso, S. Camera, Pedro G. Ferreira, G. Bernardi, R. Maartens, M. Viel, Francisco Villaescusa-Navarro, F. B. Abdalla and 4 more. 2015

167 citations recorded by the source corpus.

HI intensity mapping (IM) is a novel technique capable of mapping the large-scale structure of the Universe in three dimensions and delivering exquisite constraints on cosmology, by using HI as a biased tracer of the dark matter density field. This is achieved by measuring the intensity of the redshifted 21cm line over the sky in a range of redshifts without the requirement to resolve individual galaxies. In this chapter, we investigate the potential of SKA1 to deliver HI intensity maps over a broad range of frequencies and a substantial fraction of the sky. By pinning down the baryon acoustic oscillation and redshift space distortion features in the matter power spectrum -- thus determining the expansion and growth history of the Universe -- these surveys can provide powerful tests of dark energy models and modifications to General Relativity. They can also be used to probe physics on extremely large scales, where precise measurements of spatial curvature and primordial non-Gaussianity can be used to test inflation; on small scales, by measuring the sum of neutrino masses; and at high redshifts where non-standard evolution models can be probed. We discuss the impact of foregrounds as well as various instrumental and survey design parameters on the achievable constraints. In particular we analyse the feasibility of using the SKA1 autocorrelations to probe the large-scale signal.

Subfields: Astronomy and Astrophysics, Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/ee25bf6ab0ef33fd86bbd0852567f3c6061ae39b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

In Nuclear and High Energy Physics

Citations in the corpus

DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications (2018, background): “Observables that cover large parts of the sky, such as the Cosmic Microwave Background (CMB) [1–3], neutral hydrogen [4, 5], galaxy clustering [6], gravitational lensing [7, 8], and others, have been used to constrain cosmological and astrophysical models.”
General Relativity and Cosmology: Unsolved Questions and Future Directions (2016, background): “org), which will begin operations in 2020, is a multi-wavelength radio telescope, built across multiple sites to achieve the largest collecting area ever [70,533].”
HIRAX: a probe of dark energy and radio transients (2016, background): “In addition, these simulations will use combinations of analytical models, hydrodynamical N-body code (See Ref.13) and treatment of instrumental effects and of polarized foregrounds (See Ref.14).”