ALMA Observations of Giant Molecular Clouds in M33 I: Resolving Star Formation Activities in the Giant Molecular Filaments Possibly Formed by a Spiral Shock
Kazuki Tokuda, Kazuyuki Muraoka, Hiroshi Kondo, Atsushi Nishimura,, Tomoka Tosaki, Sarolta Zahorecz, Sachiko Onodera, Rie E. Miura, Kazufumi, Torii, Nario Kuno, Shinji Fujita, Hidetoshi Sano, Toshikazu Onishi, Kazuya, Saigo, Yasuo Fukui, Akiko Kawamura, Kengo Tachihara

TL;DR
This study uses ALMA observations to resolve giant molecular filaments in M33, revealing their formation by spiral shocks and their role in star formation, including a dense hub filament and a potential protostellar outflow.
Contribution
First high-resolution ALMA imaging of GMCs in M33 showing filamentary structures formed by spiral shocks and their connection to star formation activities.
Findings
GMCs in M33 are composed of giant molecular filaments aligned perpendicular to galaxy rotation.
Filaments are associated with star-forming regions and possibly formed by spiral shocks.
Identification of a dense hub filament with a candidate protostellar outflow.
Abstract
We report molecular line and continuum observations toward one of the most massive giant molecular clouds (GMCs), GMC-16, in M33 using ALMA with an angular resolution of 044 027 (2 pc 1 pc). We have found that the GMC is composed of several filamentary structures in CO and CO ( = 2-1). The typical length, width, and total mass are 50-70 pc, 5-6 pc, and 10 , respectively, which are consistent with those of giant molecular filaments (GMFs) as seen in the Galactic GMCs. The elongations of the GMFs are roughly perpendicular to the direction of the galaxy's rotation, and several H{\sc ii} regions are located at the downstream side relative to the filaments with an offset of 10-20 pc. These observational results indicate that the GMFs are considered to be produced by a galactic spiral shock. The 1.3…
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.
