The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
MODELING THE METALLICITY DISTRIBUTION OF GLOBULAR CLUSTERS
Open accessAbstract
Observed metallicities of globular clusters reflect physical conditions in the interstellar medium of their high-redshift host galaxies. Globular cluster systems in most large galaxies display bimodal color and metallicity distributions, which are often interpreted as indicating two distinct modes of cluster formation. The metal-rich and metal-poor clusters have systematically different locations and kinematics in their host galaxies. However, the red and blue clusters have similar internal properties, such as their masses, sizes, and ages. It is therefore interesting to explore whether both metal-rich and metal-poor clusters could form by a common mechanism and still be consistent with the bimodal distribution. We present such a model, which prescribes the formation of globular clusters semi-analytically using galaxy assembly history from cosmological simulations coupled with observed scaling relations for the amount and metallicity of cold gas available for star formation. We assume that massive star clusters form only during mergers of massive gas-rich galaxies and tune the model parameters to reproduce the observed distribution in the Galaxy. A wide, but not the entire, range of model realizations produces metallicity distributions consistent with the data. We find that early mergers of smaller hosts create exclusively blue clusters, whereas subsequent mergers of more massive galaxies create both red and blue clusters. Thus, bimodality arises naturally as the result of a small number of late massive merger events. This conclusion is not significantly affected by the large uncertainties in our knowledge of the stellar mass and cold gas mass in high-redshift galaxies. The fraction of galactic stellar mass locked in globular clusters declines from over 10% at z > 3 to 0.1% at present.
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
Stellar population synthesis at the resolution of 2003
Bruzual, G., & Charlot, S. (2003) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2003.06897.x · Cited by 10,500
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
Numerical Recipes: The Art of Scientific Computing
Ziegel, E. (1987) · Technometrics · doi:10.1080/00401706.1987.10488304 · Cited by 6,702
FIVE-YEAR WILKINSON MICROWAVE ANISOTROPY PROBE OBSERVATIONS: COSMOLOGICAL INTERPRETATION
Komatsu, E., Dunkley, J., Nolta, M. R., Bennett, C. L., Gold, B., Hinshaw, G., Jarosik, N., Larson, D., Limon, M., Page, L., et al. (2009) · The Astrophysical Journal Supplement Series · doi:10.1088/0067-0049/180/2/330 · Cited by 5,786
Testing the number of components in a normal mixture
Lo, Y. (2001) · Biometrika · doi:10.1093/biomet/88.3.767 · Cited by 4,640
A Catalog of Parameters for Globular Clusters in the Milky Way
Harris, W. E. (1996) · The Astronomical Journal · doi:10.1086/118116 · Cited by 4,500 · cited 2×
“We tune the parameters of our semi-analytical model to reproduce the metallicity distribution of the Galactic globular clusters as compiled by Harris (1996).”
MethodGalactic Dynamics: Second Edition
Binney, J., & Tremaine, S. (2008) · doi:10.1515/9781400828722 · Cited by 4,375 · cited 1×
“These numbers are consistent with the observed amount of the disk and bulge stars and the atomic and molecular gas in the Galaxy (from Binney & Tremaine 2008).”
ResultTremonti, C. A., Heckman, T. M., Kauffmann, G., Brinchmann, J., Charlot, S., White, S. D. M., Seibert, M., Peng, E. W., Schlegel, D. J., Uomoto, A., et al. (2004) · The Astrophysical Journal · doi:10.1086/423264 · Cited by 3,608
Hartigan, J. A., & Hartigan, P. M. (1985) · The Annals of Statistics · doi:10.1214/aos/1176346577 · Cited by 1,973
Comprehensive analytic formulae for stellar evolution as a function of mass and metallicity
Hurley, J. R., Pols, O. R., & Tout, C. A. (2000) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2000.03426.x · Cited by 1,739
Cited by
Astrophysics with the Laser Interferometer Space Antenna
Amaro-Seoane, P., Andrews, J., Arca Sedda, M., Askar, A., Baghi, Q., Balasov, R., Bartos, I., Bavera, S. S., Bellovary, J., Berry, C. P. L., et al. (2023) · Living Reviews in Relativity · doi:10.1007/s41114-022-00041-y · Cited by 609
Globular clusters as the relics of regular star formation in ‘normal’ high-redshift galaxies
Kruijssen, J. M. D. (2015) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stv2026 · Cited by 318
Pfeffer, J., Kruijssen, J. M. D., Crain, R. A., & Bastian, N. (2018) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stx3124 · Cited by 243
Origins of scaling relations of globular cluster systems
Choksi, N., & Gnedin, O. Y. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stz2097 · Cited by 67
Self-citation
Metadata
- Authors
- Muratov, A. L., & Gnedin, O. Y.
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 2010-07-14
- Volume
- 718
- Issue
- 2
- Pages
- 1266-1288
- ISSN
- 0004-637X (ISSN-L)
- 1538-4357
- OpenAlex
- W1989900581
- Cited by
- 337
- References
- 85
- FWCI
- 13.13
- 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: MODELING THE METALLICITY DISTRIBUTION OF GLOBULAR CLUSTERS. https://app.cochat.ai/papers/10.1088/0004-637x/718/2/1266
- The paper
- Muratov, A. L., & Gnedin, O. Y. (2010). MODELING THE METALLICITY DISTRIBUTION OF GLOBULAR CLUSTERS. The Astrophysical Journal. https://doi.org/10.1088/0004-637x/718/2/1266
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.