Constraining dark energy with complementary probes of large-scale structure
Neel Shah, Kazuya Koyama, Johannes Noller, Lanyang Yi
astro-ph.CO, gr-qc
Submitted: 2026-08-17
Updated: 2026-08-18
Comments: 19 pages + appendices and references, 14 figures
License: http://creativecommons.org/licenses/by/4.0/
The gist: To observationally pin down the nature of dark energy, it is essential to consistently model cosmological perturbations in the presence of dark energy alongside the background expansion and constrain
Terminology
Abstract
To observationally pin down the nature of dark energy, it is essential to consistently model cosmological perturbations in the presence of dark energy alongside the background expansion and constrain this joint theory space with a large array of complementary probes. Here, we achieve this by constraining a model in the Effective Field Theory of Dark Energy (EFTofDE) framework by supplementing probes of the expansion history with several probes of large-scale structure: redshift space distortions (RSD) from DESI DR1, 3 times2 pt measurements from DES Y3, and the Integrated Sachs-Wolfe effect from cross-correlating CMB temperature anisotropies with galaxy number counts or CMB lensing. We demonstrate the complementarity of different probes which leads to strong improvements on constraints on DE perturbations. For our most constraining dataset combination that supplements CMB+BAO+SNe probes with DESI DR1 RSD, DES Y3 3 times2 pt and ISW cross-correlations between CMB temperature and galaxy counts, we find an improvement in the Figure of Merit (FoM) for the DE perturbation parameters c B, c M by a factor of 2.69. We show the phenomenological implications of these constraints by mapping them to the present-day values of the phenomenological functions mu(z), (z), where we see an FoM improvement by a factor of 3.37. We find a significant interdependence between the posteriors of w 0, w a and c B, c M, caused by the theoretical prior imposed by the gradient stability condition within the EFTofDE framework. Finally, we compute the significance of deviation from CM for the EFTofDE model when constrained with CMB+BAO+SNe datasets, finding it to be at 2.9 sigma. This significance is nontrivially similar to the significance for the w 0w a CDM model for the same dataset combination which we find to be 3.1 sigma.
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