The DOI matches its Crossref record.
Computing quark and gluon distribution functions for very large nuclei
Open accessAbstract
We argue that the distribution functions for quarks and gluons are computable at small $x$ for sufficiently large nuclei, perhaps larger than can be physically realized. For such nuclei, we argue that weak coupling methods may be used. We show that the computation of the distribution functions can be recast as a many-body problem with a modified propagator, a coupling constant which depends on the multiplicity of particles per unit rapidity per unit area, and for non-Abelian gauge theories, some extra media-dependent vertices. We explicitly compute the distribution function for gluons to lowest order, and argue how they may be computed in higher order.
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
Adams, J., Aggarwal, M. M., Ahammed, Z., Amonett, J., Anderson, B. D., Arkhipkin, D., Averichev, G. S., Badyal, S. K., Bai, Y., Balewski, J., et al. (2005) · Nuclear Physics A · doi:10.1016/j.nuclphysa.2005.03.085 · Cited by 3,379
New forms of QCD matter discovered at RHIC
Gyulassy, M., & McLerran, L. (2005) · Nuclear Physics A · doi:10.1016/j.nuclphysa.2004.10.034 · Cited by 1,122
Self-citationALICE: Physics Performance Report, Volume II
Collaboration, A., Alessandro, B., Antinori, F., Belikov, J. A., Blume, C., Dainese, A., Foka, P., Giubellino, P., Hippolyte, B., Kuhn, C., et al. (2006) · Journal of Physics G: Nuclear and Particle Physics · doi:10.1088/0954-3899/32/10/001 · Cited by 549
Lappi, T., & McLerran, L. (2006) · Nuclear Physics A · doi:10.1016/j.nuclphysa.2006.04.001 · Cited by 482
Self-citationNearly perfect fluidity: from cold atomic gases to hot quark gluon plasmas
Schäfer, T., & Teaney, D. (2009) · Reports on Progress in Physics · doi:10.1088/0034-4885/72/12/126001 · Cited by 438
Metadata
- Authors
- McLerran, L., & Venugopalan, R.
- Venue
- Physical Review D
- Publisher
- American Physical Society (APS)
- Published
- 1994-03-01
- Volume
- 49
- Issue
- 5
- Pages
- 2233-2241
- ISSN
- 0556-2821 (ISSN-L)
- OpenAlex
- W2157155801
- Cited by
- 2,035
- References
- 0
- FWCI
- 7.09
- 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: Computing quark and gluon distribution functions for very large nuclei. https://app.cochat.ai/papers/10.1103/physrevd.49.2233
- The paper
- McLerran, L., & Venugopalan, R. (1994). Computing quark and gluon distribution functions for very large nuclei. Physical Review D. https://doi.org/10.1103/physrevd.49.2233
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.