Low star formation efficiency due to turbulent adiabatic compression in the Taffy bridge
B. Vollmer (1), J. Braine (2), B. Mazzilli-Ciraulo (1, 3), B., Schneider (1, 4) ((1) Observatoire astronomique de Strasbourg, France, (2), Laboratoire d'astrophysique de Bordeaux, France, (3) AIM, CEA, CNRS,, Universite Paris-Saclay, Universite Paris Diderot, France, (4) LERMA,

TL;DR
This paper investigates why star formation is suppressed in the Taffy galaxy system's bridge, attributing it to turbulent adiabatic compression increasing velocity dispersion and preventing molecular clouds from collapsing into stars.
Contribution
It introduces the concept that turbulent adiabatic compression explains the high velocity dispersion and low star formation efficiency in the Taffy bridge, supported by new high-resolution CO observations.
Findings
Most bridge gas does not form stars due to high velocity dispersion.
Turbulent adiabatic compression increases the virial parameter of molecular clouds.
Some dense gas regions may still collapse to form star clusters.
Abstract
The Taffy system (UGC 12914/15) consists of two massive spiral galaxies which had a head-on collision about 20 Myr ago. New sensitive, high-resolution CO(1-0) observations of the Taffy system with the IRAM PdBI are presented. About 25% of the total interferometric CO luminosity stems from the bridge region. Assuming a Galactic N(H2)/ICO conversion factor for the galactic disks and a third of this value for the bridge gas, about 10% of the molecular gas mass is located in the bridge region. The giant HII region close to UGC 12915 is located at the northern edge of the high-surface brightness giant molecular cloud association (GMA), which has the highest velocity dispersion among the bridge GMAs. The bridge GMAs are clearly not virialized because of their high velocity dispersion. Three dynamical models are presented and while no single model reproduces all of the observed features, they…
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.
