Power-law tails in turbulent magnetic field PDFs arise from intermittent Poisson-distributed shocks convolved with a lognormal core, with tail asymmetry determined by the ratio of fast to slow MHD shocks.
Density and Velocity Correlations in Isothermal Supersonic Turbulence
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abstract
In star-forming clouds, high velocity flow gives rise to large fluctuations of density. In this work we explore the correlation between velocity magnitude (speed) and density. We develop an analytic formula for the joint probability distribution (PDF) of density and speed, and discuss its properties. In order to develop an accurate model for the joint PDF, we first develop improved models of the marginalized distributions of density and speed. We confront our results with a suite of 12 supersonic isothermal simulations with resolution of $1024^3$ cells in which the turbulence is driven by 3 different forcing modes (solenoidal, mixed and compressive) and 4 r.m.s. Mach numbers (1, 2, 4, 8). We show, that for transsonic turbulence, density and speed are correlated to a considerable degree and the simple assumption of independence fails to accurately describe their statistics. In the supersonic regime, the correlations tend to weaken with growing Mach number. Our new model of the joint and marginalized PDFs are a factor of 3 better than uncorrelated, and provides insight into this important process.
fields
astro-ph.GA 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
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The dynamical origin of the magnetic field distributions in compressible turbulence
Power-law tails in turbulent magnetic field PDFs arise from intermittent Poisson-distributed shocks convolved with a lognormal core, with tail asymmetry determined by the ratio of fast to slow MHD shocks.