A comparison between grid and particle methods on the statistics of driven, supersonic, isothermal turbulence
Daniel J. Price (Monash), Christoph Federrath (ITA, Heidelberg)

TL;DR
This study compares grid-based and particle-based methods for simulating high Mach number turbulence, finding they produce similar statistical results at high resolutions but differ in resolving dense structures and dissipation characteristics.
Contribution
It provides a detailed comparison of Eulerian grid and Lagrangian SPH methods for supersonic turbulence, highlighting their relative strengths and resolution requirements.
Findings
Both codes agree on key statistical properties like velocity spectra and density PDFs.
SPH better resolves dense structures at lower resolutions.
Grid codes are less dissipative in density-weighted statistics.
Abstract
We compare the statistics of driven, supersonic turbulence at high Mach number using FLASH a widely used Eulerian grid-based code and PHANTOM, a Lagrangian SPH code at resolutions of up to 512^3 in both grid cells and SPH particles. We find excellent agreement between codes on the basic statistical properties: a slope of k^-1.95 in the velocity power spectrum for hydrodynamic, Mach 10 turbulence, evidence in both codes for a Kolmogorov-like slope of k^-5/3 in the variable rho^1/3 v as suggested by Kritsuk et al. and a log-normal PDF with a width that scales with Mach number and proportionality constant b=0.33-0.5 in the density variance-Mach number relation. The measured structure function slopes are not converged in either code at 512^3 elements. We find that, for measuring volumetric statistics such as the power spectrum slope and structure function scaling, SPH and grid codes give…
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