☆ 4.6 Article

Primordial non-Gaussianity from biased tracers: likelihood analysis of real-space power spectrum and bispectrum

JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS (2021)

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JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
卷 -, 期 5, 页码 -

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IOP Publishing Ltd
DOI: 10.1088/1475-7516/2021/05/015

关键词

cosmological parameters from LSS; cosmological simulations; inflation; redshift surveys

类别

Astronomy & Astrophysics Physics, Particles & Fields

资金

  1. SNSF project The Non-Gaussian Universe and Cosmological Symmetries [200020-178787]
  2. Netherlands Organization for Scientific Research (NWO) - Dutch Ministry of Education, Culture and Science (OCW), under VENI grant [016.Veni.192.210]
  3. Israel Science Foundation [1395/16]
  4. PRIN MIUR 2015 Cosmology and Fundamental Physics: illuminating the Dark Universe with Euclid
  5. INFN INDARK PD51 grant
  6. Fondecyt [1171466]

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Upcoming galaxy redshift surveys are expected to improve limits on primordial non-Gaussianity (PNG) through measurements in Fourier space. A Monte-Carlo Markov Chain analysis was performed to confront perturbation theory predictions with N-body simulations, focusing on the local model of PNG parameterized by f(NL). Informative priors on the linear non-Gaussian bias parameter can significantly improve constraints on f(NL) in statistical inference.
Upcoming galaxy redshift surveys promise to significantly improve current limits on primordial non-Gaussianity (PNG) through measurements of 2- and 3-point correlation functions in Fourier space. However, realizing the full potential of this dataset is contingent upon having both accurate theoretical models and optimized analysis methods. Focusing on the local model of PNG, parameterized by f(NL), we perform a Monte-Carlo Markov Chain analysis to confront perturbation theory predictions of the halo power spectrum and bispectrum in real space against a suite of N-body simulations. We model the halo bispectrum at tree-level, including all contributions linear and quadratic in f(NL), and the halo power spectrum at 1-loop, including tree-level terms up to quadratic order in f(NL) and all loops induced by local PNG linear in f(NL). Keeping the cosmological parameters fixed, we examine the effect of informative priors on the linear non-Gaussian bias parameter on the statistical inference of N-f(L). A conservative analysis of the combined power spectrum and bispectrum, in which only loose priors are imposed and all parameters are marginalized over, can improve the constraint on f(NL) by more than a factor of 5 relative to the power spectrum-only measurement. Imposing a strong prior on b(phi), or assuming bias relations for both b(phi a)nd b(phi delta) (motivated by a universal mass function assumption), improves the constraints further by a factor of few. In this case, however, we find a significant systemati shift in the inferred value of f(NL) if the same range of wavenumber is used. Likewise, a Poisson noise assumption can lead to significant systematics, and it is thus essential to leave all the stochastic amplitudes free.

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JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS (2023)

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JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS (2023)

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Article Astronomy & Astrophysics

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Fisher forecasts for primordial non-Gaussianity from persistent homology

Matteo Biagetti, Juan Calles, Lina Castiblanco, Alex Cole, Jorge Norena

Summary: This study investigates the impact of summary statistics built from multi-scale topology of large-scale structures on the information content of local and equilateral primordial non-Gaussianity. By using halo catalogs as a proxy for observed galaxies and considering realistic scenarios in redshift space, the reliability of this approach is assessed through various tests. The results show weak sensitivity of the constraints to redshift errors.

JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS (2022)

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