Density distribution function of a self-gravitating isothermal turbulent fluid in the context of molecular clouds ensembles -- III. Virial analysis
S. Donkov, I. Zh. Stefanov, T. V. Veltchev, R. S. Klessen

TL;DR
This paper extends virial analysis to self-gravitating turbulent molecular cloud ensembles, deriving density profiles and stability conditions across different flow regimes, revealing stable and unstable configurations.
Contribution
It introduces a generalized virial analysis for various turbulence regimes and confirms the density profile solution, clarifying stability conditions in molecular cloud models.
Findings
Density profile follows power law.
Stable configurations occur in trans- and subsonic flows.
Unstable or marginally bound states occur in supersonic flows.
Abstract
In the present work we apply virial analysis to the model of self-gravitating turbulent cloud ensembles introduced by Donkov \& Stefanov in two previous papers, clarifying some aspects of turbulence and extending the model to account not only for supersonic flows but for trans- and subsonic ones as well. Make use of the Eulerian virial theorem at an arbitrary scale, far from the cloud core, we derive an equation for the density profile and solve it in approximate way. The result confirms the solution found in the previous papers. This solution corresponds to three possible configurations for the energy balance. For trans- or subsonic flows, we obtain a balance between the gravitational and thermal energy (Case 1) or between the gravitational, turbulent and thermal energies (Case 2) while for supersonic flows, the possible balance is between the gravitational…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCosmology and Gravitation Theories · Gas Dynamics and Kinetic Theory · Advanced Thermodynamics and Statistical Mechanics
