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Probing primordial non-Gaussianity with SKA galaxy redshift surveys: a fully relativistic analysis

Camera, Stefano ; Santos, Mário G ; Maartens, Roy

Monthly notices of the Royal Astronomical Society, 2015-04, Vol.448 (2), p.1035-1043 [Periódico revisado por pares]

London: Oxford University Press

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  • Título:
    Probing primordial non-Gaussianity with SKA galaxy redshift surveys: a fully relativistic analysis
  • Autor: Camera, Stefano ; Santos, Mário G ; Maartens, Roy
  • Assuntos: Arrays ; Bias ; Counting ; Evolution ; Hydrogen ; Normal distribution ; Planck satellite ; Red shift ; Star & galaxy formation ; Surveys ; Very large scale
  • É parte de: Monthly notices of the Royal Astronomical Society, 2015-04, Vol.448 (2), p.1035-1043
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
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  • Descrição: The Square Kilometre Array (SKA) will produce spectroscopic surveys of tens to hundreds of millions of neutral hydrogen (H i) galaxies, eventually covering 30 000 deg2 and reaching out to redshift z ≳ 2. The huge volumes probed by the SKA will allow for some of the best constraints on primordial non-Gaussianity, based on measurements of the large-scale power spectrum. We investigate various observational set-ups for H i galaxy redshift surveys, compatible with the SKA Phase 1 and Phase 2 (full SKA) configurations. We use the corresponding number counts and bias for each survey from realistic simulations and derive the magnification bias and the evolution of source counts directly from these. For the first time, we produce forecasts that fully include the general relativistic effects on the galaxy number counts. These corrections to the standard analysis become important on very large scales, where the signal of primordial non-Gaussianity grows strongest. Our results show that, for the full survey, the non-Gaussianity parameter f NL can be constrained down to σ(f NL) = 1.54. This improves the current limit set by the Planck satellite by a factor of 5, using a completely different approach.
  • Editor: London: Oxford University Press
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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