Setting the stage: structures from Gaussian random fields

Author:

Sawala Till1ORCID,Jenkins Adrian2ORCID,McAlpine Stuart1ORCID,Jasche Jens3,Lavaux Guilhem4ORCID,Johansson Peter H1,Frenk Carlos S2

Affiliation:

1. Department of Physics, University of Helsinki, Gustaf Hällströmin katu 2, 00560 Helsinki, Finland

2. Institute for Computational Cosmology, Durham University, South Road, Durham DH1 3LE, UK

3. The Oskar Klein Centre, Department of Physics, Stockholm University, Albanova University Center, SE-106 91 Stockholm, Sweden

4. Institut d’Astrophysique de Paris, CNRS and Sorbonne Université, UMR7095, F-75014 Paris, France

Abstract

ABSTRACT We study structure formation in a set of cosmological simulations to uncover the scales in the initial density field that gave rise to the formation of present-day structures. Our simulations share a common primordial power spectrum (here Λ cold dark matter, ΛCDM), but the introduction of hierarchical variations of the phase information allows us to systematically study the scales that determine the formation of structure at later times. We consider the variance in z = 0 statistics such as the matter power spectrum and halo mass function. We also define a criterion for the existence of individual haloes across simulations, and determine what scales in the initial density field contain sufficient information for the non-linear formation of unique haloes. We study how the characteristics of individual haloes such as the mass and concentration, as well as the position and velocity, are affected by variations on different scales, and give scaling relations for haloes of different mass. Finally, we use the example of a cluster-mass halo to show how our hierarchical parametrization of the initial density field can be used to create variants of particular objects. With properties such as mass, concentration, kinematics, and substructure of haloes set on distinct and well-determined scales, and its unique ability to introduce variations localized in real space, our method is a powerful tool to study structure formation in cosmological simulations.

Funder

Academy of Finland

H2020 European Research Council

Durham University

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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