The DOI matches its Crossref record.
The Formation of Stellar Clusters: Gaussian Cloud Conditions. I.
Open accessAbstract
The isothermal dynamical evolution of a clumpy molecular cloud region and its fragmentation into a protostellar cluster is investigated numerically. The initial density distributions are generated from different realizations of a Gaussian random field with power spectrum P ( k ) ∝ k -2 . During the evolution of the system, the one-point probability distribution functions (PDFs) of the gas density and of the line-of-sight velocity centroids develop considerable distortions away from the initial Gaussian behavior. The density PDF can be best described by power-law distributions, whereas the velocity PDF exhibits extended tails. As a result of the interplay between gas pressure and gravitational forces, a quasi-equilibrium clump mass spectrum emerges with a power-law distribution dN / dM ∝ M -1.5 . Being part of a complex network of filaments, individual clumps are elongated, centrally condensed objects with 2 : 1 to 4 : 1 axis ratios with outer r -2 density distributions. Dense, Jeans-unstable gas clumps collapse and form protostellar cores that evolve through competitive accretion and N -body interactions with other cores. In contrast to the clumps, the core mass spectrum is best described by a lognormal distribution that peaks approximately at the average Jeans mass of the system. Scaled to physical conditions typical for star-forming molecular clouds, the mass function is in good agreement with the initial mass function (IMF) of multiple stellar systems. The final dynamical state of the newly formed stellar cluster closely resembles observed young stellar clusters. It has a core/halo structure, which is typical for collision dominated N -body systems. The two-point correlation function of the spatial stellar distribution can be described by two power laws with a break in the slope at the transition point from the binary to the large-scale clustering regime. The protostellar cluster is marginally bound and would be easily disrupted if the conversion of cores into stars were inefficient.
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
Cited by
On the variation of the initial mass function
Kroupa, P. (2001) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2001.04022.x · Cited by 7,499
Embedded Clusters in Molecular Clouds
Lada, C. J., & Lada, E. A. (2003) · Annual Review of Astronomy and Astrophysics · doi:10.1146/annurev.astro.41.011802.094844 · Cited by 3,034
Control of star formation by supersonic turbulence
Mac Low, M.-M., & Klessen, R. S. (2004) · Reviews of Modern Physics · doi:10.1103/revmodphys.76.125 · Cited by 1,761
Self-citationSlow Star Formation in Dense Gas: Evidence and Implications
Krumholz, M. R., & Tan, J. C. (2007) · The Astrophysical Journal · doi:10.1086/509101 · Cited by 629
Bate, M. R. (2009) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2008.14106.x · Cited by 440
Metadata
- Authors
- Klessen, R. S., & Burkert, A.
- Venue
- The Astrophysical Journal Supplement Series
- Publisher
- American Astronomical Society
- Published
- 2000-05
- Volume
- 128
- Issue
- 1
- Pages
- 287-319
- ISSN
- 0067-0049 (ISSN-L)
- 1538-4365
- OpenAlex
- W2067540670
- Cited by
- 286
- References
- 0
- FWCI
- 11.61
- Type
- journal article
- Language
- en
- Open access
- bronze
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 Stellar Clusters: Gaussian Cloud Conditions. I. https://app.cochat.ai/papers/10.1086/313371
- The paper
- Klessen, R. S., & Burkert, A. (2000). The Formation of Stellar Clusters: Gaussian Cloud Conditions. I. The Astrophysical Journal Supplement Series. https://doi.org/10.1086/313371
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.