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:

The matter density PDF for modified gravity and dark energy with Large Deviations Theory

Cataneo, Matteo and Uhlemann, Cora and Arnold, Christian and Gough, Alex and Li, Baojiu and Heymans, Catherine (2022) 'The matter density PDF for modified gravity and dark energy with Large Deviations Theory.', Monthly Notices of Royal Astronomical Society, 513 (2). pp. 1623-1641.

Abstract

We present an analytical description of the probability distribution function (PDF) of the smoothed 3D matter density field for modified gravity and dark energy. Our approach, based on the principles of Large Deviations Theory, is applicable to general extensions of the standard Lambda cold dark matter (ΛCDM) cosmology. We show that late-time changes to the law of gravity and background expansion can be included through Einstein-de Sitter spherical collapse dynamics combined with linear theory calculations and a calibration measurement of the non-linear variance of the smoothed density field from a simple numerical simulation. In a comparison to N-body simulations for f(R), DGP, and evolving dark energy theories, we find per cent level accuracy around the peak of the distribution for predictions in the mildly non-linear regime. A Fisher forecast of an idealized experiment with a Euclid-like survey volume demonstrates the power of combining measurements of the 3D matter PDF with the 3D matter power spectrum. This combination is shown to halve the uncertainty on parameters for an evolving dark energy model, relative to a power spectrum analysis on its own. The PDF is also found to substantially increase the detection significance for small departures from General Relativity, with improvements of up to six times compared to the power spectrum alone. This analysis is therefore very promising for future studies including non-Gaussian statistics, as it has the potential to alleviate the reliance of these analyses on expensive high-resolution simulations and emulators.

Item Type:Article
Full text:(VoR) Version of Record
Download PDF
(3258Kb)
Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1093/mnras/stac904
Publisher statement:This article has been accepted for publication in Monthly notices of the Royal Astronomical Society. ©: 2021 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.
Date accepted:26 March 2022
Date deposited:08 June 2022
Date of first online publication:07 April 2022
Date first made open access:08 June 2022

Save or Share this output

Export:
Export
Look up in GoogleScholar