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Toward Understanding Massive Star Formation

Open access
Zinnecker, Hans, Yorke, Harold W.·2007·Annual Review of Astronomy and Astrophysics

Abstract

Although fundamental for astrophysics, the processes that produce massive stars are not well understood. Large distances, high extinction, and short timescales of critical evolutionary phases make observations of these processes challenging. Lacking good observational guidance, theoretical models have remained controversial. This review offers a basic description of the collapse of a massive molecular core and a critical discussion of the three competing concepts of massive star formation: ▪ monolithic collapse in isolated cores ▪ competitive accretion in a protocluster environment ▪ stellar collisions and mergers in very dense systems We also review the observed outflows, multiplicity, and clustering properties of massive stars, the upper initial mass function and the upper mass limit. We conclude that high-mass star formation is not merely a scaled-up version of low-mass star formation with higher accretion rates, but partly a mechanism of its own, primarily owing to the role of stellar mass and radiation pressure in controlling the dynamics.

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Crossref · 10.1146/annurev.astro.44.051905.092549

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Metadata

Authors
Zinnecker, H., & Yorke, H. W.
Venue
Annual Review of Astronomy and Astrophysics
Published
2007-09-01
Volume
45
Issue
1
Pages
481-563
ISSN
  • 0066-4146 (ISSN-L)
  • 1545-4282
OpenAlex
W2158923690
Cited by
1,248
References
2
FWCI
4.51
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Toward Understanding Massive Star Formation. https://app.cochat.ai/papers/10.1146/annurev.astro.44.051905.092549
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Zinnecker, H., & Yorke, H. W. (2007). Toward Understanding Massive Star Formation. Annual Review of Astronomy and Astrophysics. https://doi.org/10.1146/annurev.astro.44.051905.092549

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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.