Cookies

We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.


Durham Research Online
You are in:

Nonlinear growth of structure in cosmologies with damped matter fluctuations.

Leo, M. and Baugh, C. M. and Li, B. and Pascoli, S. (2018) 'Nonlinear growth of structure in cosmologies with damped matter fluctuations.', Journal of cosmology and astroparticle physics., 2018 (08). 001.

Abstract

We investigate the nonlinear evolution of structure in variants of the standard cosmological model which display damped density fluctuations relative to cold dark matter (e.g. in which cold dark matter is replaced by warm or interacting DM). Using N-body simulations, we address the question of how much information is retained from different scales in the initial linear power spectrum following the nonlinear growth of structure. We run a suite of N-body simulations with different initial linear matter power spectra to show that, once the system undergoes nonlinear evolution, the shape of the linear power spectrum at high wavenumbers does not affect the non-linear power spectrum, while it still matters for the halo mass function. Indeed, we find that linear power spectra which differ from one another only at wavenumbers larger than their half-mode wavenumber give rise to (almost) identical nonlinear power spectra at late times, regardless of the fact that they originate from different models with damped fluctuations. On the other hand, the halo mass function is more sensitive to the form of the linear power spectrum. Exploiting this result, we propose a two parameter model of the transfer function in generic damped scenarios, and show that this parametrisation works as well as the standard three parameter models for the scales on which the linear spectrum is relevant.

Item Type:Article
Full text:(AM) Accepted Manuscript
Available under License - Creative Commons Attribution Non-commercial No Derivatives.
Download PDF
(943Kb)
Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1088/1475-7516/2018/08/001
Publisher statement:This Accepted Manuscript is available for reuse under a CC BY-NC-ND 3.0 licence after the 12 month embargo period provided that all the terms of the licence are adhered to.
Date accepted:16 July 2018
Date deposited:25 September 2018
Date of first online publication:01 August 2018
Date first made open access:01 August 2019

Save or Share this output

Export:
Export
Look up in GoogleScholar