pith. sign in

arxiv: 1010.3754 · v2 · pith:MRMK62XGnew · submitted 2010-10-18 · 🌌 astro-ph.GA

The density variance -- Mach number relation in supersonic, isothermal turbulence

classification 🌌 astro-ph.GA
keywords machdensityvariancenumbersupersonicrelationshipturbulenceconsistent
0
0 comments X
read the original abstract

We examine the relation between the density variance and the mean-square Mach number in supersonic, isothermal turbulence, assumed in several recent analytic models of the star formation process. From a series of calculations of supersonic, hydrodynamic turbulence driven using purely solenoidal Fourier modes, we find that the `standard' relationship between the variance in the log of density and the Mach number squared, i.e., sigma^2_(ln rho/rhobar)=ln (1+b^2 M^2), with b = 1/3 is a good fit to the numerical results in the supersonic regime up to at least Mach 20, similar to previous determinations at lower Mach numbers. While direct measurements of the variance in linear density are found to be severely underestimated by finite resolution effects, it is possible to infer the linear density variance via the assumption of log-normality in the Probability Distribution Function. The inferred relationship with Mach number, consistent with sigma_(rho/rhobar) ~ b M with b=1/3, is, however, significantly shallower than observational determinations of the relationship in the Taurus Molecular Cloud and IC5146 (both consistent with b~ 0.5), implying that additional physics such as gravity is important in these clouds and/or that turbulent driving in the ISM contains a significant compressive component. Magnetic fields are not found to change this picture significantly, in general reducing the measured variances and thus worsening the discrepancy with observations.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Virial-based extraction of structures in numerical simulations: The vibes tool

    astro-ph.SR 2026-06 unverdicted novelty 6.0

    Vibes extracts cores in simulations using the virial theorem to define boundaries, yielding more stable and physically motivated structures than density-threshold methods like hop and dendrogram.