The big idea¶
FK12 is the unifying comparison of analytic star-formation-rate (SFR) theories. It derives and compares six models for the dimensionless SFR per free-fall time — the Krumholz & McKee (KM), Padoan & Nordlund (PN), and Hennebelle & Chabrier (HC) theories, plus multi-freefall versions of each — all as a single integral over the lognormal density PDF. It then tests all six against MHD simulations (–50, –, solenoidal/mixed/compressive forcing). The headline: the SFR depends on four parameters and the multi-freefall KM and PN models fit best (to within a factor of 2).
The four controlling parameters (their §1)¶
Virial parameter .
Sonic Mach number .
Turbulent forcing parameter — fraction of energy in compressive modes: solenoidal (divergence-free), natural mixture, compressive (curl-free).
Plasma (thermal-to-magnetic pressure; the Alfvén Mach number).
Comparing forcings, the SFR is >10× higher for compressive than solenoidal forcing at fixed ; magnetic fields reduce the SFR by a factor of ~2.
The density PDF and σ_s² (their §2.1–2.2)¶
The log-density has a lognormal PDF (Eq. 1) with mean fixed by mass conservation (Eq. 3), . The width depends on forcing, Mach and magnetization. For the intermediate field scaling (Molina+2012),
which in the hydrodynamic limit (, no field) reduces to the relation
used throughout gravoturb:
(equivalently Eq. 5, ). This is the same HD relation as Federrath+2010 Eq. 19 and BM19 Eq. 1.
The SFR-per-freefall framework (their §2.3) and the six models¶
The SFR per free-fall time is the mass above a critical density, weighted by the local free-fall rate (the multi-freefall insight — gas at different collapses at different rates):
The six models (Table 1) differ only in the critical density (the lower integration limit) and whether the factor is kept inside the integral (multi-ff) or set to 1 (single-ff):
| Model | |
|---|---|
| KM / multi-ff KM | |
| PN / multi-ff PN | |
| HC / multi-ff HC |
Two facts that matter downstream:
The PN critical density carries the prefactor — the same form
gravoturb.theory.collapse_thresholdimplements (HD: 0.547 at ); see Padoan & Nordlund (2011).The KM/HC critical density carries the form — distinct from PN’s, which is why the PN11 note flags them as different prefactor conventions.
Use in progenax¶
Density PDFs and the freefall-density factor — the lognormal+power-law PDF (FK12 §2.1) and the free-fall kernel (the weight in Eq. 7).
Burkhart & Mocz (2019) — BM19 simplifies this framework by tying to the PDF transition density , removing a free critical density.
grounds
cluster.turbulence.b_from_environmentand the FK10 forcing parameter.
Placement-PMF corollary (gravoturb Phase 1, verified vs the PDF 2026-07-16)¶
The multi-freefall integrand of Eq. 7 — [t_ff(ρ₀)/t_ff(ρ)]·(ρ/ρ₀) = (ρ/ρ₀)^{3/2} via
Eq. 8 — is the relative star-formation weight per cell. Normalizing it into a placement
PMF cancels the ε/φ_t efficiency prefactors exactly, so where stars form needs no
efficiency knob (only how many does, and the IC generator takes N⋆ as input). gravoturb’s
placement='multi_freefall' uses p_⋆ ∝ w(s_turb)·e^{(3/2)s_total} with the eligibility
gate w on the BM19 transition s_t — the s_t-for-s_crit substitution described under
“Use in progenax” (BM19’s derived transition replaces FK12’s assumed critical density; FK12
itself does not license s_t, BM19 does). The derived tail_star_fraction (Σ_{s>s_t} p_⋆ under the gated PMF) then replaces the
former free f_sub knob, with the smooth collapse_eligible_fraction (the eligible
share of the ungated ρ^{3/2} measure — a different, smaller number) as the analytic hook.
Notes¶
The HD
gravoturbpath drops magnetic fields: it uses , i.e. FK12 Eq. 4 with . Magnetization () narrows the PDF and lowers the SFR by ~2× — not modelled here.Best-fit efficiencies from the simulations: SFE –, local –0.7 (best ); the multi-ff KM and PN models match to a factor of 2 over two orders of magnitude in SFR.
FK12 is the conceptual parent of BM19: BM19 keeps the lognormal+power-law PDF and the kernel but replaces the assumed critical density with the derived transition density .
- Federrath, C., & Klessen, R. S. (2012). The star formation rate of turbulent magnetized clouds. The Astrophysical Journal, 761, 156. 10.1088/0004-637X/761/2/156