PySCo-EFT and ECOSMOG-EFT: a tandem of N-body simulation codes for the Effective Field Theory of Dark Energy
Himanish Ganjoo, Yann Rasera, Emilio Bellini, Michel-Andr\`es Breton, Fabien Castillo, Sandrine Codis, Stephane Colombi, Pier-Stefano Corasaniti, Giulia Cusin, Yohan Dubois, Sylvain de la Torre, Eric Jullo, Guilhem Lavaux, Amandine Le Brun, Sebastian Peirani, Sandrine Pires

TL;DR
This paper introduces two new N-body simulation codes, PySCo-EFT and ECOSMOG-EFT, designed to accurately model the non-linear effects of the Effective Field Theory of Dark Energy on cosmic structure formation.
Contribution
The paper presents the development and validation of two novel simulation codes for EFTofDE cosmologies, incorporating non-linear screening mechanisms and achieving high accuracy.
Findings
Codes agree within 0.5% with linear theory on large scales.
Agreement between the two codes is within 2% on non-linear scales.
Numerical effects are limited to below 2% at high wavenumbers.
Abstract
Modified gravity theories constitute viable alternatives to the standard cosmological model for explaining the observed late-time accelerated expansion of the Universe. The Effective Field Theory of Dark Energy (EFTofDE) is an efficient framework to describe a wide range of such theories with a limited number of parameters. To robustly constrain them by comparison with clustering and weak lensing data from upcoming large-scale structure surveys, high-resolution cosmological N-body simulations are required to obtain accurate predictions for the matter distribution on non-linear scales. We introduce two new N-body simulation codes for EFTofDE cosmologies: PySCo-EFT, a Python-based particle mesh code, and ECOSMOG-EFT, a RAMSES-based code with adaptive mesh refinement. We consider Horndeski models with a luminal gravitational wave speed. We use iterative solvers and multigrid schemes to…
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