The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The formation of a star cluster: predicting the properties of stars and brown dwarfs
Open accessAbstract
We present results from the largest numerical simulation of star formation to resolve the fragmentation process down to the opacity limit. The simulation follows the collapse and fragmentation of a large-scale turbulent molecular cloud to form a stellar cluster and, simultaneously, the formation of circumstellar discs and binary stars. This large range of scales enables us to predict a wide variety of stellar properties for comparison with observations. The calculation clearly demonstrates that star formation is a highly-dynamic and chaotic process. Star formation occurs in localized bursts within the cloud via the fragmentation both of dense molecular cloud cores and of massive circumstellar discs. Star-disc encounters form binaries and truncate discs. Stellar encounters disrupt bound multiple systems. We find that the observed statistical properties of stars are a natural consequence of star formation in such a dynamical environment. The cloud produces roughly equal numbers of stars and brown dwarfs, with masses down to the opacity limit for fragmentation (≈5 Jupiter masses). The initial mass function is consistent with a Salpeter slope (Γ=−1.35) above 0.5 M⊙, a roughly flat distribution (Γ= 0) in the range 0.006–0.5 M⊙, and a sharp cut-off below ≈0.005 M⊙. This is consistent with recent observational surveys. The brown dwarfs form by the dynamical ejection of low-mass fragments from dynamically unstable multiple systems before the fragments have been able to accrete to stellar masses. Close binary systems (with separations ≲10 au) are not formed by fragmentation in situ. Rather, they are produced by hardening of initially wider multiple systems through a combination of dynamical encounters, gas accretion, and/or the interaction with circumbinary and circumtriple discs. Finally, we find that the majority of circumstellar discs have radii less than 20 au due to truncation in dynamical encounters. This is consistent with observations of the Orion Trapezium cluster and implies that most stars and brown dwarfs do not form large planetary systems.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
An Edge-on Circumstellar Disk in the Young Binary System HK Tauri
Stapelfeldt, K. R., Krist, J. E., Ménard, F., Bouvier, J., Padgett, D. L., & Burrows, C. J. (1998) · The Astrophysical Journal · doi:10.1086/311479 · Cited by 252
Cited by
Galactic Stellar and Substellar Initial Mass Function
Chabrier, G. (2003) · Publications of the Astronomical Society of the Pacific · doi:10.1086/376392 · Cited by 9,071
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
“An alternative picture, called Competitive Accretion, developed by Klessen et al. (1998), Bate et al. (2003), and Bonnell et al. (2003), builds massive stars from the initial low-mass fragments.”
BackgroundSmoothed particle hydrodynamics
Monaghan, J. J. (2005) · Reports on Progress in Physics · doi:10.1088/0034-4885/68/8/r01 · Cited by 2,754
SPLASH: An Interactive Visualisation Tool for Smoothed Particle Hydrodynamics Simulations
Price, D. J. (2007) · Publications of the Astronomical Society of Australia · doi:10.1071/as07022 · Cited by 746
Phantom: A Smoothed Particle Hydrodynamics and Magnetohydrodynamics Code for Astrophysics
Price, D. J., Wurster, J., Tricco, T. S., Nixon, C., Toupin, S., Pettitt, A., Chan, C., Mentiplay, D., Laibe, G., Glover, S., et al. (2018) · Publications of the Astronomical Society of Australia · doi:10.1017/pasa.2018.25 · Cited by 429
Metadata
- Authors
- Bate, M. R., Bonnell, I. A., & Bromm, V.
- Venue
- Monthly Notices of the Royal Astronomical Society
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-03-01
- Volume
- 339
- Issue
- 3
- Pages
- 577-599
- ISSN
- 0035-8711 (ISSN-L)
- 1365-2966
- OpenAlex
- W1993244509
- Cited by
- 780
- References
- 1
- FWCI
- 36.53
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The formation of a star cluster: predicting the properties of stars and brown dwarfs. https://app.cochat.ai/papers/10.1046/j.1365-8711.2003.06210.x
- The paper
- Bate, M. R., Bonnell, I. A., & Bromm, V. (2003). The formation of a star cluster: predicting the properties of stars and brown dwarfs. Monthly Notices of the Royal Astronomical Society. https://doi.org/10.1046/j.1365-8711.2003.06210.x
Data sources
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.