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Burkhart & Mocz (2019)

San Diego State University

The big idea

In a turbulent, self-gravitating molecular cloud the volume density ρ\rho is not single-valued — it has a probability distribution function (PDF). Where gravity is weak the PDF is a lognormal set by supersonic turbulence; where gravity wins it grows a power-law tail at high density (collapsing regions). BM19 model the PDF as a piecewise lognormal + power law and show that the density where the two pieces join, sts_t, is not a free parameter but a mathematically motivated critical density for star formation — the post-shock density where the Jeans length equals the sonic length. The mass fraction in the power-law tail is the self-gravitating (dense) gas fraction fdensef_\mathrm{dense}, which sets the star-formation efficiency.

Throughout, work in the log-density sln(ρ/ρ0)s \equiv \ln(\rho/\rho_0) (ρ0\rho_0 = mean density).

Core equations

Lognormal width (Eq. 1). Supersonic isothermal turbulence gives a lognormal of variance

σs2=ln ⁣(1+b2M2),\sigma_s^2 = \ln\!\left(1 + b^2 \mathcal{M}^2\right),

with M\mathcal{M} the sonic Mach number and b[1/3,1]b\in[1/3,1] the driving parameter (1/31/3 solenoidal → 1 compressive). Mass conservation fixes the lognormal mean at s0=σs2/2s_0 = -\sigma_s^2/2, so espLNds=1\int e^{s} p_\mathrm{LN}\,ds = 1.

Transition density (Eq. 2). The lognormal joins the power-law tail at

st=(α12)σs2,s_t = \left(\alpha - \tfrac12\right)\sigma_s^2 ,

where α\alpha is the slope of the tail pPL(s)eαsp_\mathrm{PL}(s)\propto e^{-\alpha s}. This is derived, not fitted. For the canonical collapsing value α=3/2\alpha = 3/2 it reduces to st=σs2s_t = \sigma_s^2 (Eq. 16).

PDF slope ↔ radial slope. A spherical region ρrκ\rho\propto r^{-\kappa} produces a density-PDF power law p(s)eαsp(s)\propto e^{-\alpha s} with

κ=3/α.\kappa = 3/\alpha .

So α=3/2κ=2\alpha=3/2 \Leftrightarrow \kappa=2 (isothermal collapse; Shu 1977) and α=2κ=3/2\alpha=2 \Leftrightarrow \kappa=3/2.

Self-gravitating gas fraction (Eqs. 17–20). Defining dense gas as all mass above sts_t,

fdenseMPLMLN+MPL=stespPL(s)dsstespLN(s)ds+stespPL(s)ds.f_\mathrm{dense} \equiv \frac{M_\mathrm{PL}}{M_\mathrm{LN} + M_\mathrm{PL}} = \frac{\displaystyle\int_{s_t}^{\infty} e^{s}\,p_\mathrm{PL}(s)\,ds} {\displaystyle\int_{-\infty}^{s_t} e^{s}\,p_\mathrm{LN}(s)\,ds + \int_{s_t}^{\infty} e^{s}\,p_\mathrm{PL}(s)\,ds }.

Demanding the PDF be continuous at sts_t fixes the tail amplitude C=pLN(st)eαstC = p_\mathrm{LN}(s_t)\,e^{\alpha s_t}, and the mass-weighted integrals evaluate to

MPL=Ce(1α)stα1,MLN=12 ⁣[1+erf ⁣(stσs2/22σs)].M_\mathrm{PL} = \frac{C\,e^{(1-\alpha)s_t}}{\alpha-1}, \qquad M_\mathrm{LN} = \tfrac12\!\left[\,1 + \mathrm{erf}\!\left( \frac{s_t - \sigma_s^2/2}{\sqrt2\,\sigma_s}\right)\right].

(BM19 Eq. 19/20 write the identical result multiplied through by α1\alpha-1.) The 1/(α1)1/(\alpha-1) makes fdense1f_\mathrm{dense}\to1 as α1\alpha\to1 — the limit where the whole cloud is self-gravitating — and is the term a numerical implementation must guard.

Pure-lognormal limit. Removing the power law gives fdenseLN=12erfc ⁣((stσs2/2)/(2σs))f_\mathrm{dense}^{LN} = \tfrac12\,\mathrm{erfc}\!\big((s_t-\sigma_s^2/2)/(\sqrt2\sigma_s)\big); the true fdensef_\mathrm{dense} exceeds it because the shallower tail adds high-density mass.

Behaviour (their Fig. 5). fdensef_\mathrm{dense} decreases with M\mathcal{M} (the PDF widens, sts_t moves up) and decreases with α\alpha (steeper tail → less dense gas). The instantaneous SFE is ϵinst=ϵ0fdense\epsilon_\mathrm{inst}=\epsilon_0\,f_\mathrm{dense} (Eq. 24).

The central result: only two parameters, no free critical density. Because sts_t is derived from (σs,α)(\sigma_s,\alpha) via Eq. 2, the self-gravitating fraction in Eqs. 18–20 is controlled by just those two numbers — BM19 stress there is “no need to invoke a critical density of collapse.” This is what lets the SFE be predicted from observables (cloud Mach number / PDF width and the measured tail slope) rather than a tuned threshold.

sts_t is a critical density (Eqs. 9–15). Equating the Jeans length to the post-shock sonic length gives a critical overdensity ρcrit/ρ0=exp(scrit)=π215αvirM2\rho_\mathrm{crit}/\rho_0 = \exp(s_\mathrm{crit}) = \tfrac{\pi^2}{15}\,\alpha_\mathrm{vir}\,\mathcal{M}^2 (their Eq. 11, with αvir=5vL2R/GM\alpha_\mathrm{vir}=5v_L^2 R/GM). For virialised clouds (αvir1\alpha_\mathrm{vir}\approx1) this matches the post-shock density ρps/ρ0=M2\rho_\mathrm{ps}/\rho_0=\mathcal{M}^2 to within a factor of a few, and BM19 show stscritspss_t\approx s_\mathrm{crit}\approx s_\mathrm{ps} in the α1.5\alpha\simeq1.5–2 limit. They validate sts_t and fdensef_\mathrm{dense} against AREPO moving-mesh gravo-turbulent simulations (b=1/3b=1/3, M=5,10,16\mathcal{M}=5,10,16; their Figs. 4–5), finding the dense fraction (and hence SFE) is weakly anti-correlated with Mach number.

Use in progenax

Validation: closed-form fdensef_\mathrm{dense} matches direct quadrature of Eq. 18 to rel104\mathrm{rel}\,10^{-4} (AC1); mass conservation espLNds=1\int e^{s}p_\mathrm{LN}\,ds=1 to 10-3 (AC2).

Notes

References
  1. Burkhart, B., & Mocz, P. (2019). The self-gravitating gas fraction and the critical density for star formation. The Astrophysical Journal, 879, 129. 10.3847/1538-4357/ab25ed