A universal, turbulence-regulated star formation law: from Milky Way clouds to high-redshift disk and starburst galaxies

TL;DR

This paper introduces a universal star formation law based on turbulence and multi-freefall gas dynamics, significantly reducing scatter in star formation rate predictions across different galaxy types.

Contribution

It develops a new star formation law relying on turbulence properties and multi-freefall times, improving predictive accuracy over previous models.

Findings

Enhanced correlation between SFR and MGCR with reduced scatter

Derived Mach number predictions for various galaxy observations

Confirmed low efficiency (~0.4%) of star formation in clouds

Abstract

Whilst the star formation rate (SFR) of molecular clouds and galaxies is key in understanding galaxy evolution, the physical processes which determine the SFR remain unclear. This uncertainty about the underlying physics has resulted in various different star formation laws, all having substantial intrinsic scatter. Extending upon previous works that define the column density of star formation (Sigma_SFR) by the gas column density (Sigma_gas), we develop a new universal star formation (SF) law based on the multi-freefall prescription of gas. This new SF law relies predominantly on the probability density function (PDF) and on the sonic Mach number of the turbulence in the star-forming clouds. By doing so we derive a relation where the star formation rate (SFR) correlates with the molecular gas mass per multi-freefall time, whereas previous models had used the average, single-freefall time. We define a new quantity called maximum (multi-freefall) gas consumption rate (MGCR) and show that the actual SFR is only about 0.4% of this maximum possible SFR, confirming the observed low efficiency of star formation. We show that placing observations in this new framework (Sigma_SFR vs. MGCR) yields a significantly improved correlation with 3-4 times reduced scatter compared to previous SF laws and a goodness-of-fit parameter R^2=0.97. By inverting our new relationship, we provide sonic Mach number predictions for kpc-scale observations of Local Group galaxies as well as unresolved observations of local and high-redshift disk and starburst galaxies that do not have independent, reliable estimates for the turbulent cloud Mach number.