WARPFIELD 2.0: Feedback-regulated minimum star formation efficiencies of giant molecular clouds
Daniel Rahner, Eric W. Pellegrini, Simon C. O. Glover, Ralf, S. Klessen

TL;DR
This paper introduces WARPFIELD 2.0, an improved simulation tool for studying stellar feedback in giant molecular clouds, revealing that feedback regulates star formation efficiencies mainly based on cloud surface density.
Contribution
WARPFIELD 2.0 enhances previous models with better thermal and fragmentation treatments, providing new insights into feedback effects on GMCs across various conditions.
Findings
Star formation efficiency needed to destroy GMCs is 1-6%.
Feedback alone explains low star formation efficiencies in GMCs.
Massive, steep-profile clouds are more resistant to feedback.
Abstract
Star formation is an inefficient process and in general only a small fraction of the gas in a giant molecular cloud (GMC) is turned into stars. This is partly due to the negative effect of stellar feedback from young massive star clusters. In a recent paper, we introduced a novel 1D numerical treatment of the effects of stellar feedback from young massive clusters on their natal clouds, which we named WARPFIELD. Here, we present version 2 of the WARPFIELD code, containing improved treatments of the thermal evolution of the gas and the fragmentation of the feedback-driven shell. As part of this update, we have produced new cooling and heating tables that account for the combined effects of photoionization and collisional ionization on the cooling rate of the gas, which we now make publically available. We employ our updated version of WARPFIELD to investigate the impact of stellar…
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.
