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The maximum stellar mass, star-cluster formation and composite stellar populations: Maximum stellar mass-cluster mass relation

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Weidner, Carsten, Kroupa, Pavel·2005·Monthly Notices of the Royal Astronomical Society

Abstract

We demonstrate that the mass of the most massive star in a cluster correlates non-trivially with the cluster mass. A simple algorithm, according to which a cluster is filled up with stars that are chosen randomly from the standard initial mass function (IMF) but sorted with increasing mass, yields an excellent description of the observational data. Algorithms based on random sampling from the IMF without sorted adding are ruled out with a confidence larger than 0.9999. A physical explanation of this would be that a cluster forms by more-massive stars being consecutively added until the resulting feedback energy suffices to revert cloud contraction and stops further star formation. This has important implications for composite populations. For example, 104 clusters of mass 102 M⊙ will not produce the same IMF as one cluster with a mass of 106 M⊙. It also supports the notion that the integrated galaxial stellar IMF (IGIMF) should be steeper than the stellar IMF and that it should vary with the star formation rate of a galaxy.

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Metadata

Authors
Weidner, C., & Kroupa, P.
Venue
Monthly Notices of the Royal Astronomical Society
Published
2005-12-15
Volume
365
Issue
4
Pages
1333-1347
ISSN
  • 0035-8711 (ISSN-L)
  • 1365-2966
OpenAlex
W1765063229
Cited by
331
References
0
FWCI
9.76
Type
journal article
Language
en
Open access
bronze

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Weidner, C., & Kroupa, P. (2005). The maximum stellar mass, star-cluster formation and composite stellar populations: Maximum stellar mass-cluster mass relation. Monthly Notices of the Royal Astronomical Society. https://doi.org/10.1111/j.1365-2966.2005.09824.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.