Mean-Field Effects on Collective Flows in High-Energy Heavy-Ion Collisions at 2-158A GeV energies

(2) JAERI; (3) IOP; (4) Frankfurt Univ.); A. Ohnishi (1); M. Isse (1); N. Otuka (2); P. K. Sahu (3); Y. Nara (4) ((1) Hokkaido Univ.

Mean-Field Effects on Collective Flows in High-Energy Heavy-Ion Collisions at 2-158A GeV energies

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv nucl-th/0502058 v3 pith:4MRYOHX3 submitted 2005-02-20 nucl-th

Mean-Field Effects on Collective Flows in High-Energy Heavy-Ion Collisions at 2-158A GeV energies

M. Isse (1) , A. Ohnishi (1) , N. Otuka (2) , P. K. Sahu (3) , Y. Nara (4) ((1) Hokkaido Univ. , (2) JAERI , (3) IOP , (4) Frankfurt Univ.) This is my paper

classification nucl-th

keywords flowscollectiveenergiesnuclearcollisionsdirectedellipticheavy-ion

verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

0 comments

read the original abstract

Collective flows in heavy-ion collisions from AGS ($(2-11)A$ GeV) to SPS ($(40,158)A$ GeV) energies are investigated in a nonequilibrium transport model with nuclear mean-field (MF). Sideward $<p_x>$, directed $v_1$, and elliptic flows $v_2$ are systematically studied with different assumptions on the nuclear equation of state (EOS). We find that momentum dependence in the nuclear MF is important for the understanding of the proton collective flows at AGS and SPS energies. Calculated results with momentum dependent MF qualitatively reproduce the experimental data of proton sideward, directed, and elliptic flows in a incident energy range of $(2-158)A$ GeV.

discussion (0)

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

Machine learning the impact parameter in heavy-ion collisions at $\sqrt{s_{\rm NN}}$ = 4 and 11 GeV: a cross-check study with UrQMD, AMPT, and JAM
nucl-th 2026-07 conditional novelty 4.0

A LightGBM model trained on pion observables from one transport model predicts impact parameters in Au+Au collisions at 4 and 11 GeV with 0.2-0.4 fm error, generalizing to data from other models where polynomial fits fail.