The DOI matches its Crossref record.
Importance of Momentum-Dependent Interactions for the Extraction of the Nuclear Equation of State from High-Energy Heavy-Ion Collisions
Abstract
We demonstrate that momentum-dependent nuclear interactions (MDI) have a large effect on the dynamics and on the observables of high-energy heavy-ion collisions: A soft potential with MDI suppresses pion and kaon yields much more strongly than a local hard potential and results in transverse momenta intermediate between soft and hard local potentials. The collective-flow angles and the deuteron-to-proton ratios are rather insensitive to the MDI. Only simultaneous measurements of these observables can give clues on the nuclear equation of state at densities of interest for supernova collapse and neutron-star stability.
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
Aichelin, J. (1991) · Physics Reports · doi:10.1016/0370-1573(91)90094-3 · Cited by 1,381
Self-citationDynamics of hot bulk QCD matter: From the quark-gluon plasma to hadronic freeze-out
Bass, S. A., & Dumitru, A. (2000) · Physical Review C · doi:10.1103/physrevc.61.064909 · Cited by 275
Signatures of quark-gluon plasma formation in high energy heavy-ion collisions: a critical review
Bass, S. A., Gyulassy, M., Stöcker, H., & Greiner, W. (1999) · Journal of Physics G: Nuclear and Particle Physics · doi:10.1088/0954-3899/25/3/013 · Cited by 269
Self-citation
Metadata
- Authors
- Aichelin, J., Rosenhauer, A., Peilert, G., Stoecker, H., & Greiner, W.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 1987-05-11
- Volume
- 58
- Issue
- 19
- Pages
- 1926-1929
- ISSN
- 0031-9007 (ISSN-L)
- OpenAlex
- W2063758957
- Cited by
- 426
- References
- 0
- FWCI
- 22.90
- Type
- journal article
- Language
- en
- Open access
- closed
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: Importance of Momentum-Dependent Interactions for the Extraction of the Nuclear Equation of State from High-Energy Heavy-Ion Collisions. https://app.cochat.ai/papers/10.1103/physrevlett.58.1926
- The paper
- Aichelin, J., Rosenhauer, A., Peilert, G., Stoecker, H., & Greiner, W. (1987). Importance of Momentum-Dependent Interactions for the Extraction of the Nuclear Equation of State from High-Energy Heavy-Ion Collisions. Physical Review Letters. https://doi.org/10.1103/physrevlett.58.1926
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.