The density structure of supersonic self-gravitating turbulence
Shivan Khullar, Christoph Federrath, Mark R. Krumholz, Christopher D., Matzner

TL;DR
This study uses numerical simulations to analyze the density distribution in supersonic, self-gravitating turbulence, revealing a universal PDF shape with distinct power-law tails and how it depends on turbulence parameters.
Contribution
Introduces a new diagnostic, the $ ext{ε}_{ m ff}(s)$ curve, and models the relationship between turbulence parameters and density thresholds in star-forming clouds.
Findings
PDF has a universal form with a log-normal and two power-law tails.
Star formation efficiency stabilizes the PDF, showing no secular evolution.
Mach number and virial parameter determine density thresholds for PDF transitions.
Abstract
We conduct numerical experiments to determine the density probability distribution function (PDF) produced in supersonic, isothermal, self-gravitating turbulence of the sort that is ubiquitous in star-forming molecular clouds. Our experiments cover a wide range of turbulent Mach number and virial parameter, allowing us for the first time to determine how the PDF responds as these parameters vary, and we introduce a new diagnostic, the dimensionless star formation efficiency versus density () curve, which provides a sensitive diagnostic of the PDF shape and dynamics. We show that the PDF follows a universal functional form consisting of a log-normal at low density with two distinct power law tails at higher density; the first of these represents the onset of self-gravitation, and the second reflects the onset of rotational support. Once the star formation efficiency…
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