Skip to Main content Skip to Navigation
Journal articles

Star cluster formation in a turbulent molecular cloud self-regulated by photoionization feedback

Abstract : Most stars in the Galaxy are believed to be formed within star clusters from collapsing molecular clouds. However, the complete process of star formation, from the parent cloud to a gas-free star cluster, is still poorly understood. We perform radiation-hydrodynamical simulations of the collapse of a turbulent molecular cloud using the RAMSES-RT code. Stars are modelled using sink particles, from which we self-consistently follow the propagation of the ionizing radiation. We study how different feedback models affect the gas expulsion from the cloud and how they shape the final properties of the emerging star cluster. We find that the star formation efficiency is lower for stronger feedback models. Feedback also changes the high-mass end of the stellar mass function. Stronger feedback also allows the establishment of a lower density star cluster, which can maintain a virial or sub-virial state. In the absence of feedback, the star formation efficiency is very high, as well as the final stellar density. As a result, high-energy close encounters make the cluster evaporate quickly. Other indicators, such as mass segregation, statistics of multiple systems and escaping stars confirm this picture. Observations of young star clusters are in best agreement with our strong feedback simulation.
Complete list of metadata

https://hal-insu.archives-ouvertes.fr/insu-03710598
Contributor : Nathalie POTHIER Connect in order to contact the contributor
Submitted on : Friday, July 1, 2022 - 8:46:40 AM
Last modification on : Friday, July 1, 2022 - 8:46:41 AM

File

stx2222.pdf
Publisher files allowed on an open archive

Identifiers

Collections

Citation

Elena Gavagnin, Andreas Bleuler, Joakim Rosdahl, Romain Teyssier. Star cluster formation in a turbulent molecular cloud self-regulated by photoionization feedback. Monthly Notices of the Royal Astronomical Society, 2017, 472, pp.4155-4172. ⟨10.1093/mnras/stx2222⟩. ⟨insu-03710598⟩

Share

Metrics

Record views

3

Files downloads

0