On the onset of stochasticity in Λ cold dark matter cosmological simulations

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Abstract

The onset of stochasticity is measured in Λ cold dark matter cosmological simulations using a set of classical observables. It is quantified as the local derivative of the logarithm of the dispersion of a given observable (within a set of different simulations differing weakly through their initial realization), with respect to the cosmic growth factor. In an Eulerian framework, it is shown here that chaos appears at small scales, where dynamic is non-linear, while it vanishes at larger scales, allowing the computation of a critical transition scale corresponding to ∼3.5 Mpc h-1. This picture is confirmed by Lagrangian measurements which show that the distribution of substructures within clusters is partially sensitive to initial conditions, with a critical mass upper bound scaling roughly like the perturbation's amplitude to the power 0.15. The corresponding characteristic mass, M crit = 2 1013 M⊙, is roughly of the order of the critical mass of non-linearities at z = 1 and accounts for the decoupling induced by the dark energy triggered acceleration. The sensitivity to detailed initial conditions spills to some of the overall physical properties of the host halo (spin and velocity dispersion tensor orientation) while other 'global' properties are quite robust and show no chaos (mass, spin parameter, connexity and centre-of-mass position). This apparent discrepancy may reflect the fact that quantities which are integrals over particles rapidly average out details of difference in orbits, while the other observables are more sensitive to the detailed environment of forming haloes and reflect the non-linear scale coupling characterizing the environments of haloes. © 2008 RAS.

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APA

Thiébaut, J., Pichon, C., Sousbie, T., Prunet, S., & Pogosyan, D. (2008). On the onset of stochasticity in Λ cold dark matter cosmological simulations. Monthly Notices of the Royal Astronomical Society, 387(1), 397–406. https://doi.org/10.1111/j.1365-2966.2008.13250.x

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