JOURNAL ARTICLE

High-mass star formation in the Large Magellanic Cloud triggered by colliding H i flows.

  • Published In: Publications of the Astronomical Society of Japan, 2024, v. 76, n. 4. P. 589 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Tsuge, Kisetsu; Sano, Hidetoshi; Tachihara, Kengo; Bekki, Kenji; Tokuda, Kazuki; Inoue, Tsuyoshi; Mizuno, Norikazu; Kawamura, Akiko; Onishi, Toshikazu; Fukui, Yasuo 3 of 3

Abstract

This article investigates the role of galactic tidal interactions in triggering high-mass star formation within the Large Magellanic Cloud (LMC) by analyzing neutral atomic hydrogen (H i) gas dynamics. It identifies three H i velocity components: the L-component (tidally driven inflow), the D-component (LMC disk), and the I-component (collision-compressed gas between L- and D-components). The study finds that approximately 74% of O-type and Wolf–Rayet (O/WR) stars are spatially associated with the I-component, supporting the scenario that collisions between the L- and D-components compress gas to form molecular clouds and subsequently high-mass stars. Detailed analyses of four star-forming regions (R136, N44, N11, and the N77–N79–N83 complex) reveal typical signatures of cloud–cloud collisions, such as complementary spatial distributions and velocity bridges, with a positive correlation between collisional gas pressure and the number of high-mass stars. The findings suggest that tidally driven colliding H i flows are a key mechanism for high-mass star formation across the LMC, with implications for understanding starburst phenomena in interacting dwarf galaxies.

Additional Information

  • Source:Publications of the Astronomical Society of Japan. 2024/08, Vol. 76, Issue 4, p589
  • Document Type:Article
  • Subject Area:Astronomy and Astrophysics
  • Publication Date:2024
  • ISSN:0004-6264
  • DOI:10.1093/pasj/psae035
  • Accession Number:178887675
  • Copyright Statement:Copyright of Publications of the Astronomical Society of Japan is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.