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Note on the collapse of magnetic interstellar clouds
Abstract
Virial-theorem expressions for clouds on the verge of gravitational collapse are fitted to numerical values obtained with exact equilibrium computations for magnetic interstellar isothermal clouds subject to the pressure of the intercloud medium. The minimum mass needed for gravitational collapse is 0.53 times the virial-theorem value obtained for a homogeneous magnetic sphere, while the maximum external pressure, Pm, at which equilibrium is possible is 0.60 times the virial-theorem value. Subject heading: interstellar: magnetic fields
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Citations
Cited by
Star Formation in the Milky Way and Nearby Galaxies
Kennicutt, R. C., & Evans, N. J. (2012) · Annual Review of Astronomy and Astrophysics · doi:10.1146/annurev-astro-081811-125610 · Cited by 2,902
“Theoretical explanations for such thresholds can be found by considering magnetic support (Mouschovias & Spitzer 1976) or regulation by photo-ionization (McKee 1989).”
BackgroundMagnetic Fields in Molecular Clouds: Observations Confront Theory
Crutcher, R. M. (1999) · The Astrophysical Journal · doi:10.1086/307483 · Cited by 915
Metadata
- Authors
- Mouschovias, T. C., & Spitzer, L., Jr.
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 1976-12
- Volume
- 210
- Pages
- 326
- ISSN
- 0004-637X (ISSN-L)
- 1538-4357
- OpenAlex
- W2127476512
- Cited by
- 518
- References
- 0
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Note on the collapse of magnetic interstellar clouds. https://app.cochat.ai/papers/10.1086/154835
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- Mouschovias, T. C., & Spitzer, L., Jr. (1976). Note on the collapse of magnetic interstellar clouds. The Astrophysical Journal. https://doi.org/10.1086/154835
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
