Cluster assembly and the origin of mass segregation in the STARFORGE simulations
Abstract
Stars form in dense, clustered environments, where feedback from newly formed stars eventually ejects the gas, terminating star formation and leaving behind one or more star clusters. Using the STARFORGE simulations, it is possible to simulate this process in its entirety within a molecular cloud, while explicitly evolving the gas radiation and magnetic fields and following the formation of individual, low-mass stars. We find that individual star-formation sites merge to form ever larger structures, while still accreting gas. Thus clusters are assembled through a series of mergers. During the cluster assembly process, a small fraction of stars are ejected from their clusters; we find no significant difference between the mass distribution of the ejected stellar population and that of stars inside clusters. The star-formation sites that are the building blocks of clusters start out mass segregated with one or a few massive stars at their centre. As they merge the newly formed clusters maintain this feature, causing them to have mass-segregated substructures without themselves being centrally condensed. The merged clusters relax to a centrally condensed mass-segregated configuration through dynamical interactions between their members, but this process does not finish before feedback expels the remaining gas from the cluster. In the simulated runs, the gas-free clusters then become unbound and breakup. We find that turbulent driving and a periodic cloud geometry can significantly reduce clustering and prevent gas expulsion. Meanwhile, the initial surface density and level of turbulence have little qualitative effect on cluster evolution, despite the significantly different star formation histories.
Additional Information
© 2022 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model). Accepted 2022 June 14. Received 2022 May 19; in original form 2022 January 6. Published: 25 June 2022. We would like to thank Sinan Deger for his thoughtful comments. DG is supported by the Harlan J. Smith McDonald Observatory Postdoctoral Fellowship and the Cottrell Fellowships Award (#27982) from the Research Corporation for Science Advancement. Support for MYG was provided by NASA through the NASA Hubble Fellowship grant # HST-HF2-51479 awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., for NASA, under contract NAS5-26555. Support for PFH was provided by NSF Collaborative Research Grants 1715847 & 1911233, NSF CAREER grant 1455342, and NASA grants 80NSSC18K0562 & JPL 1589742. SSRO and CM are supported by NSF Career Award AST-1748571 and by a Cottrell Scholar Award from the Research Corporation for Science Advancement. CAFG was supported by NSF through grants AST-1715216, AST-2108230, and CAREER award AST-1652522; by NASA through grant 17-ATP17-0067; by STScI through grant HST-AR-16124.001-A; and by the Research Corporation for Science Advancement through a Cottrell Scholar Award. ALR acknowledges support from Harvard University through the ITC Post-doctoral Fellowship. This work used computational resources provided by XSEDE allocation AST-190018, the Frontera allocation AST-20019, and additional resources provided by the University of Texas at Austin and the Texas Advanced Computing Center (TACC; http://www.tacc.utexas.edu). Data Availability: The data supporting the plots within this article are available on reasonable request to the corresponding authors. A public version of the GIZMO code is available at http://www.tapir.caltech.edu/~phopkins/Site/GIZMO.html.Attached Files
Published - stac1737.pdf
Submitted - 2201.01781.pdf
Files
Name | Size | Download all |
---|---|---|
md5:9723308eb987f8f0178df33c92c13cfe
|
23.6 MB | Preview Download |
md5:b80099f0c780fd53daa132823b55ff56
|
7.9 MB | Preview Download |
Additional details
- Eprint ID
- 113651
- Resolver ID
- CaltechAUTHORS:20220228-183312768
- Harlan J. Smith McDonald Observatory
- Cottrell Scholar of Research Corporation
- 27982
- NASA Hubble Fellowship
- HST-HF2-51479
- NASA
- NAS5-26555
- NSF
- AST-1715847
- NSF
- AST-1911233
- NSF
- AST-1455342
- NASA
- 80NSSC18K0562
- JPL
- 1589742
- NSF
- AST-1748571
- NSF
- AST-1715216
- NSF
- AST-2108230
- NSF
- AST-1652522
- NASA
- 17-ATP17-0067
- NASA
- HST-AR-16124.001-A
- Harvard University
- NSF
- AST-190018
- NSF
- AST-20019
- University of Texas at Austin
- Texas Advanced Computing Center (TACC)
- Created
-
2022-02-28Created from EPrint's datestamp field
- Updated
-
2022-08-15Created from EPrint's last_modified field
- Caltech groups
- TAPIR, Astronomy Department