Time Varying Dynamical Star Formation Rate
Eve J. Lee, Philip Chang, Norman Murray

TL;DR
This paper provides numerical evidence that self-gravity drives a superlinear, time-varying star formation rate in turbulent molecular clouds, challenging turbulence-only models and highlighting the importance of gravitational collapse.
Contribution
It demonstrates that self-gravity dominates early star formation dynamics, leading to superlinear growth and altered density and velocity structures in star-forming regions.
Findings
Star formation rate grows roughly as t^2 over time.
Self-gravity steepens density profiles and creates power-law tails.
Turbulent velocity profiles flatten in collapsing regions.
Abstract
We present numerical evidence of dynamic star formation in which the accreted stellar mass grows superlinearly with time, roughly as . We perform simulations of star formation in self-gravitating hydrodynamic and magneto-hydrodynamic turbulence that is continuously driven. By turning the self-gravity of the gas in the simulations on or off, we demonstrate that self-gravity is the dominant physical effect setting the mass accretion rate at early times before feedback effects take over, contrary to theories of turbulence-regulated star formation. We find that gravitational collapse steepens the density profile around stars, generating the power-law tail on what is otherwise a lognormal density probability distribution function. Furthermore, we find turbulent velocity profiles to flatten inside collapsing regions, altering the size-linewidth relation. This local flattening reflects…
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.
