Papers › Impact of baryons in cosmic shear analyses with tomographic aperture mass statistics
Impact of baryons in cosmic shear analyses with tomographic aperture mass statistics
Nicolas Martinet, Tiago Castro, Joachim Harnois-Déraps, Eric Jullo, Carlo Giocoli, Klaus Dolag
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NonGaussian cosmic shear statistics based on weak-lensing aperture mass (Mₐₚ) maps can outperform the classical shear two-point correlation function (γ-2PCF) in terms of cosmological constraining power. However, reaching the full potential of these new estimators requires accurate modeling of the physics of baryons as the extra nonGaussian information mostly resides at small scales. We present one such modeling based on the Magneticum hydrodynamical simulation for the KiDS-450 and DES-Y1 surveys and a Euclid-like survey. We compute the bias due to baryons on the lensing PDF and the distribution of peaks and voids in Mₐₚ maps and propagate it to the cosmological forecasts on the structure growth parameter S₈, the matter density parameter Ωₘ, and the dark energy equation of state w₀ using the SLICS and cosmo-SLICS sets of dark-matter-only simulations. We report a negative bias of a few percent on S₈ and Ωₘ and also measure a positive bias of the same level on w₀ when including a tomographic decomposition. These biases reach ∼5% when combining Mₐₚ statistics with the γ-2PCF as these estimators show similar dependency on the AGN feedback. We verify that these biases constitute a less than 1σ shift on the probed cosmological parameters for current cosmic shear surveys. However, baryons need to be accounted for at the percentage level for future Stage IV surveys and we propose to include the uncertainty on the AGN feedback amplitude by marginalizing over this parameter using multiple simulations such as those presented in this paper. Finally, we explore the possibility of mitigating the impact of baryons by filtering the Mₐₚ map but find that this process would require to suppress the small-scale information to a point where the constraints would no longer be competitive.
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