UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

Euclid: Forecast constraints on consistency tests of the ∧cDM model

Nesseris, S; Sapone, D; Martinelli, M; Camarena, D; Marra, V; Sakr, Z; Garcia-Bellido, J; ... Taylor, AN; + view all (2022) Euclid: Forecast constraints on consistency tests of the ∧cDM model. Astronomy and Astrophysics , 660 , Article A67. 10.1051/0004-6361/202142503. Green open access

[thumbnail of aa42503-21.pdf]
Preview
Text
aa42503-21.pdf - Published Version

Download (2MB) | Preview

Abstract

CONTEXT: The standard cosmological model is based on the fundamental assumptions of a spatially homogeneous and isotropic universe on large scales. An observational detection of a violation of these assumptions at any redshift would immediately indicate the presence of new physics. AIMS: We quantify the ability of the Euclid mission, together with contemporary surveys, to improve the current sensitivity of null tests of the canonical cosmological constant ∧ and the cold dark matter (∧ CDM) model in the redshift range 0 <z < 1.8. METHODS: We considered both currently available data and simulated Euclid and external data products based on a ∧CDM fiducial model, an evolving dark energy model assuming the Chevallier-Polarski-Linder parameterization or an inhomogeneous Lemaître-Tolman-Bondi model with a cosmological constant ∧, and carried out two separate but complementary analyses: A machine learning reconstruction of the null tests based on genetic algorithms, and a theory-Agnostic parametric approach based on Taylor expansion and binning of the data, in order to avoid assumptions about any particular model. RESULTS: We find that in combination with external probes, Euclid can improve current constraints on null tests of the ∧CDM by approximately a factor of three when using the machine learning approach and by a further factor of two in the case of the parametric approach. However, we also find that in certain cases, the parametric approach may be biased against or missing some features of models far from ∧CDM. CONCLUSIONS: Our analysis highlights the importance of synergies between Euclid and other surveys. These synergies are crucial for providing tighter constraints over an extended redshift range for a plethora of different consistency tests of some of the main assumptions of the current cosmological paradigm.

Type: Article
Title: Euclid: Forecast constraints on consistency tests of the ∧cDM model
Open access status: An open access version is available from UCL Discovery
DOI: 10.1051/0004-6361/202142503
Publisher version: https://doi.org/10.1051/0004-6361/202142503
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Dark energy, large-scale structure of Universe, cosmology, observations
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Space and Climate Physics
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10147782
Downloads since deposit
902Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item