Decaying turbulence in molecular clouds: how does it affect filament networks and star formation?

Jiten Dhandha*, Zoe Faes, Rowan J. Smith

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The fragmentation of gas to form stars in molecular clouds is intrinsically linked to the turbulence within them. These internal motions are set at the birth of the cloud and may vary with galactic environment and as the cloud evolves. In this paper, we introduce a new suite of 15 high-resolution 3D molecular cloud simulations using the moving mesh code AREPO to investigate the role of different decaying turbulent modes (mixed, compressive and solenoidal) and virial ratios on the evolution of a 104M molecular cloud. We find that diffuse regions maintain a strong relic of the initial turbulent mode, whereas the initial gravitational potential dominates dense regions. Solenoidal seeded models thus give rise to a diffuse cloud with filament-like morphology, and an excess of brown dwarf mass fragments. Compressive seeded models have an early onset of star-formation, centrally condensed morphologies and a higher accretion rate, along with overbound clouds. 3D filaments identified using DisPerSE and analyzed through a new Python toolkit we develop and make publicly available with this work called FIESTA, show no clear trend in lengths, masses and densities between initial turbulent modes. Overbound clouds, however, produce more filaments and thus have more mass in filaments. The hubs formed by converging filaments are found to favour star-formation, with surprisingly similar mass distributions independent of the number of filaments connecting the hub.
Original languageEnglish
Pages (from-to)4699–4718
Number of pages20
JournalMonthly Notices of the Royal Astronomical Society
Volume529
Issue number4
Early online date26 Mar 2024
DOIs
Publication statusPublished - Apr 2024

Keywords

  • Turbulence
  • Software: public release
  • Stars: formation
  • ISM: clouds
  • ISM: structure

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