The ALMaQUEST Survey: The molecular gas main sequence and the origin of the star forming main sequence
Lihwai Lin, Hsi-An Pan, Sara L. Ellison, Francesco Belfiore, Yong Shi,, Sebasti\'an F. S\'anchez, Bau-Ching Hsieh, Kate Rowlands, S. Ramya, Mallory, D. Thorp, Cheng Li, and Roberto Maiolino

TL;DR
This study uses the ALMaQUEST survey to reveal that local star formation and gas properties in galaxies are interconnected through three scaling relations, with the resolved star-forming main sequence being a secondary consequence.
Contribution
It identifies a new 'molecular gas main sequence' relation and demonstrates that the resolved star-forming main sequence arises from the combination of two more fundamental relations.
Findings
The three local quantities ( SFR surface density, stellar mass surface density, H2 mass surface density) are strongly correlated.
The discovery of the 'molecular gas main sequence' (MGMS) relation between S2H and \sigsm.
The resolved SFMS is less fundamental and results from the combination of the SK and MGMS relations.
Abstract
The origin of the star forming main sequence ( i.e., the relation between star formation rate and stellar mass, globally or on kpc-scales; hereafter SFMS) remains a hotly debated topic in galaxy evolution. Using the ALMA-MaNGA QUEnching and STar formation (ALMaQUEST) survey, we show that for star forming spaxels in the main sequence galaxies, the three local quantities, star-formation rate surface density (\sigsfr), stellar mass surface density (\sigsm), and the \h2~mass surface density (\sigh2), are strongly correlated with one another and form a 3D linear (in log) relation with dispersion. In addition to the two well known scaling relations, the resolved SFMS (\sigsfr~ vs. \sigsm) and the Schmidt-Kennicutt relation (\sigsfr~ vs. \sigh2; SK relation), there is a third scaling relation between \sigh2~ and \sigsm, which we refer to as the `molecular gas main sequence' (MGMS). The latter…
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.
