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Interacting dark energy from the joint analysis of the power spectrum and bispectrum multipoles with the EFTofLSS.

Authors :
Tsedrik, Maria
Moretti, Chiara
Carrilho, Pedro
Rizzo, Federico
Pourtsidou, Alkistis
Source :
Monthly Notices of the Royal Astronomical Society. Apr2023, Vol. 520 Issue 2, p2611-2632. 22p.
Publication Year :
2023

Abstract

Interacting dark energy models have been suggested as alternatives to the standard cosmological model, ΛCDM. We focus on a phenomenologically interesting class of dark scattering models that is characterized by pure momentum exchange between dark energy and dark matter. This model extends the parameter space with respect to ΛCDM by two parameters, w and A , which define the dark energy equation of state and the strength of the coupling between dark energy and dark matter, respectively. In order to test non-standard cosmologies with Stage-IV galaxy clustering surveys, it is crucial to model mildly non-linear scales and perform precision versus accuracy tests. We use the Effective Field Theory of Large-Scale Structure; and we perform validation tests by means of an MCMC analysis using a large set of N -body simulations. We find that adding the bispectrum monopole to the power spectrum multipoles improves the constraints on the dark energy parameters by |$\sim 30 {{\ \rm per\ cent}}$| for |$k_{\mathrm{max}, B}^{l=0} = 0.11$|   h  Mpc−1, without introducing biases in the parameter estimation. We also find that the same improvement can be achieved with more moderate scale cuts and the use of bias relations, or with the addition of the bispectrum quadrupole. Finally, we study degeneracies between the dark energy parameters and the scalar amplitude A s and discuss the corresponding projection effects, as well as degeneracies with other cosmological parameters. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00358711
Volume :
520
Issue :
2
Database :
Academic Search Index
Journal :
Monthly Notices of the Royal Astronomical Society
Publication Type :
Academic Journal
Accession number :
162005416
Full Text :
https://doi.org/10.1093/mnras/stad260