On the universality of supersonic turbulence

Compressible turbulence shapes the structure of the interstellar medium of our Galaxy and likely plays an important role also during structure formation in the early Uni-verse. The density probability distribution function (PDF) and the power spectrum of such compressible, supersonic turbulence are the key ingredients for theories of star formation. However, both the PDF and the spectrum are still a matter of debate, because theoretical predictions are limited and simulations of supersonic turbulence require enormous resolutions to capture the inertial-range scaling. To advance our lim-ited knowledge of compressible turbulence, we here present and analyse the world’s largest simulations of supersonic turbulence. We compare hydrodynamic models with numerical resolutions of 2563–40963 mesh points and with two distinct driving mecha-nisms, solenoidal (divergence-free) driving and compressive (curl-free) driving. We find convergence of the density PDF, with compressive driving exhibiting a much wider and more intermittent density distribution than solenoidal driving by fitting to a re-cent theoretical model for intermittent density PDFs. Analysing the power spectrum of the turbulence, we find a pure velocity scaling close to Burgers turbulence with P (v) ∝ k−2 for both driving modes in our hydrodynamical simulations with Mach number M = 17. The spectrum of the density-weighted velocity ρ1/3v, however, does not provide the previously suggested universal scaling for supersonic turbulence. We find that the power spectrum P (ρ1/3v) scales with wavenumber as k−1.74 for solenoidal driving, close to incompressible Kolmogorov turbulence (k−5/3), but is significantly steeper with k−2.10 for compressive driving. We show that this is consistent with a recent theoretical model for compressible turbulence that predicts P (ρ1/3v) ∝ k−19/9 in the presence of a strong ∇ · v component as is produced by compressive driving and remains remarkably constant throughout the supersonic turbulent cascade. Key words: hydrodynamics – turbulence – methods: numerical – ISM: clouds – ISM: kinematics and dynamics – ISM: structure.