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Relativistic second-order initial conditions for simulations of large-scale structure

Adamek, Julian; Calles, Juan; Montandon, Thomas; Noreña, Jorge; Stahl, Clément (2022). Relativistic second-order initial conditions for simulations of large-scale structure. Journal of Cosmology and Astroparticle Physics, 2022(04):001.

Abstract

Relativistic corrections to the evolution of structure can be used to test general relativity on cosmological scales. They are also a well-known systematic contamination in the search for a primordial non-Gaussian signal. We present a numerical framework to generate RELativistic second-order Initial Conditions () based on a generic (not necessarily separable) second-order kernel for the density perturbations. In order to keep the time complexity manageable we introduce a scale cut that separates long and short scales, and neglect the “short-short” coupling that will eventually be swamped by uncontrollable higher-order effects. To test our approach, we use the second-order Einstein-Boltzmann code to provide the numerical second-order kernel in a ΛCDM model, and we demonstrate that the realisations generated by reproduce the bispectra well whenever at least one of the scales is a “long” mode. We then present a generic algorithm that takes a perturbed density field as an input and provides particle initial data that matches this input to arbitrary order in perturbations for a given particle-mesh scheme. We implement this algorithm in the relativistic N-body code to demonstrate how our framework can be used to set precise initial conditions for cosmological simulations of large-scale structure.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Department of Astrophysics
Dewey Decimal Classification:530 Physics
Scopus Subject Areas:Physical Sciences > Astronomy and Astrophysics
Uncontrolled Keywords:Astronomy and Astrophysics
Language:English
Date:1 April 2022
Deposited On:02 Dec 2022 13:42
Last Modified:25 Feb 2025 02:37
Publisher:IOP Publishing
ISSN:1475-7516
OA Status:Closed
Publisher DOI:https://doi.org/10.1088/1475-7516/2022/04/001
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