Investigating the Relation between CO (3-2) and Far Infrared Luminosities for Nearby Merging Galaxies Using ASTE
Tomonari Michiyama, Daisuke Iono, Kouichiro Nakanishi, Junko Ueda,, Toshiki Saito, Misaki Ando, Hiroyuki Kaneko, Takuji Yamashita, Yuichi, Matsuda, Bunyo Hatsukade, Kenichi Kikuchi, Shinya Komugi, and Takayuki Muto

TL;DR
This study investigates the relationship between CO (3-2) luminosity and far-infrared luminosity in nearby merging and isolated galaxies, revealing different star formation efficiencies and stages of galaxy interaction.
Contribution
It provides new CO (3-2) emission data for merging galaxies and compares these with isolated galaxies, highlighting differences in star formation efficiency and galaxy evolution stages.
Findings
Merging galaxies have a steeper slope in the L'CO(3-2)-LFIR relation than isolated spirals.
Star formation efficiency increases from isolated to merging to high-z galaxies.
Early stage mergers show inefficient starbursts, while late stage mergers show efficient, centralized starbursts.
Abstract
We present the new single dish CO (3-2) emission data obtained toward 19 early stage and 7 late stage nearby merging galaxies using the Atacama Submillimeter Telescope Experiment (ASTE). Combining with the single dish and interferometric data of galaxies observed in previous studies, we investigate the relation between the CO (3-2) luminosity (L'CO(3-2)) and the far Infrared luminosity (LFIR) in a sample of 29 early stage and 31 late stage merging galaxies, and 28 nearby isolated spiral galaxies. We find that normal isolated spiral galaxies and merging galaxies have different slopes (alpha) in the log L'CO(3-2) - log LFIR plane (alpha ~ 0.79 for spirals and ~ 1.12 for mergers). The large slope (alpha > 1) for merging galaxies can be interpreted as an evidence for increasing Star Formation Efficiency (SFE=LFIR/L'CO(3-2)) as a function of LFIR. Comparing our results with sub-kpc scale…
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.
