Euclid preparation LXXI. Simulations and nonlinearities beyond CDM. 3. Constraints on models from the photometric primary probes
arXiv:2409.03524 · doi:10.1051/0004-6361/202452184
Abstract
We study the constraint on gravity that can be obtained by photometric primary probes of the Euclid mission. Our focus is the dependence of the constraint on the theoretical modelling of the nonlinear matter power spectrum. In the Hu-Sawicki gravity model, we consider four different predictions for the ratio between the power spectrum in and that in CDM: a fitting formula, the halo model reaction approach, ReACT and two emulators based on dark matter only -body simulations, FORGE and e-Mantis. These predictions are added to the MontePython implementation to predict the angular power spectra for weak lensing (WL), photometric galaxy clustering and their cross-correlation. By running Markov Chain Monte Carlo, we compare constraints on parameters and investigate the bias of the recovered parameter if the data are created by a different model. For the pessimistic setting of WL, one dimensional bias for the parameter, , is found to be when FORGE is used to create the synthetic data with and fitted by e-Mantis. The impact of baryonic physics on WL is studied by using a baryonification emulator BCemu. For the optimistic setting, the parameter and two main baryon parameters are well constrained despite the degeneracies among these parameters. However, the difference in the nonlinear dark matter prediction can be compensated by the adjustment of baryon parameters, and the one-dimensional marginalised constraint on is biased. This bias can be avoided in the pessimistic setting at the expense of weaker constraints. For the pessimistic setting, using the CDM synthetic data for WL, we obtain the prior-independent upper limit of . Finally, we implement a method to include theoretical errors to avoid the bias.
arXiv comment25 pages, 16 figures, submitted on behalf of the Euclid Collaboration. Accepted for publication in Astronomy & Astrophysics
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