The effect of baryons on the variance and the skewness of the mass distribution in the universe at small scales

Astronomy and Astrophysics – Astrophysics – Cosmology and Extragalactic Astrophysics

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Accepted for publication in MNRAS

Scientific paper

We study the dissipative effects of baryon physics on cosmic statistics at small scales using a cosmological simulation of a (50 Mpc/h)^3 volume of the universe. The MareNostrum simulation was performed using the AMR code RAMSES, and includes most of the physical ingredients which are part of the current theory of galaxy formation, such as metal-dependent cooling and UV heating, subgrid modelling of the ISM, star formation and supernova feedback. We re-ran the same initial conditions for a dark matter only universe, as a reference point for baryon-free cosmic statistics. In this paper, we present the measured small-scale amplification of sigma^2 and S_3 due to baryonic physics and their interpretation in the framework of the halo model. As shown in recent studies, the effect of baryons on the matter power spectrum can be accounted for at scales k <~ 10 h/Mpc by modifying the halo concentration parameter. We propose to extend this result by using a halo profile which is a linear combination of a NFW profile for the dark matter and an exponential disk profile mimicking the baryonic component at the heart of the halo. This halo profile form is physically motivated, and depends on two parameters, the mass fraction f_d of baryons in the disk, and the ratio lambda_d of the disk's characteristic scale to the halo's virial radius. We find this composite profile to reproduce both the small-scale variance and skewness boosts measured in the simulation up to k ~ 10^2 h/Mpc for physically meaningful values of the parameters f_d and lambda_d. Although simulations like the one presented here usually suffer from various problems when compared to observations, our modified halo model could be used as a fitting model to improve the determination of cosmological parameters from weak lensing convergence spectra and skewness measurements.

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