Euclid : Constraining dark energy coupled to electromagnetism using astrophysical and laboratory data

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http://hdl.handle.net/10138/336706

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Euclid Collaboration , Martinelli , M & Kurki-Suonio , H 2021 , ' Euclid : Constraining dark energy coupled to electromagnetism using astrophysical and laboratory data ' , Astronomy & Astrophysics , vol. 654 , 148 . https://doi.org/10.1051/0004-6361/202141353

Title: Euclid : Constraining dark energy coupled to electromagnetism using astrophysical and laboratory data
Author: Euclid Collaboration; Martinelli, M.; Kurki-Suonio, H.
Other contributor: University of Helsinki, Department of Physics

Date: 2021-10-26
Language: eng
Number of pages: 14
Belongs to series: Astronomy & Astrophysics
ISSN: 0004-6361
DOI: https://doi.org/10.1051/0004-6361/202141353
URI: http://hdl.handle.net/10138/336706
Abstract: In physically realistic, scalar-field-based dynamical dark energy models (including, e.g., quintessence), one naturally expects the scalar field to couple to the rest of the model's degrees of freedom. In particular, a coupling to the electromagnetic sector leads to a time (redshift) dependence in the fine-structure constant and a violation of the weak equivalence principle. Here we extend the previous Euclid forecast constraints on dark energy models to this enlarged (but physically more realistic) parameter space, and forecast how well Euclid, together with high-resolution spectroscopic data and local experiments, can constrain these models. Our analysis combines simulated Euclid data products with astrophysical measurements of the fine-structure constant, alpha, and local experimental constraints, and it includes both parametric and non-parametric methods. For the astrophysical measurements of alpha, we consider both the currently available data and a simulated dataset representative of Extremely Large Telescope measurements that are expected to be available in the 2030s. Our parametric analysis shows that in the latter case, the inclusion of astrophysical and local data improves the Euclid dark energy figure of merit by between 8% and 26%, depending on the correct fiducial model, with the improvements being larger in the null case where the fiducial coupling to the electromagnetic sector is vanishing. These improvements would be smaller with the current astrophysical data. Moreover, we illustrate how a genetic algorithms based reconstruction provides a null test for the presence of the coupling. Our results highlight the importance of complementing surveys like Euclid with external data products, in order to accurately test the wider parameter spaces of physically motivated paradigms.
Subject: 114 Physical sciences
115 Astronomy, Space science
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