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19962023
most citedA Multi-Phase Transport Model for Relativistic Heavy Ion Collisions

1.4k citations · 5.5k across the 84 of their papers we have counts for

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8 papers · 1 filter

hep-ph2023

Study of Baryon Number Transport Dynamics and Strangeness Conservation Effects Using -hadron Correlations

Weijie Dong, Xiaozhou Yu, Siyuan Ping +4

In nuclear collisions at RHIC energies, an excess of hyperons over is observed, indicating that carries a net baryon number despite and quarks being p…

hep-ph2021★ 9 cited

Implication of two-baryon azimuthal correlations in collisions at LHC energies on the QGP

Liuyao Zhang, Jinhui Chen, Wei Li +1

The near-side depression in two-proton or two-antiproton azimuthal correlations in collisions at 7 TeV has been observed experimentally and then qualitatively repro…

hep-ph2021★ 17 cited

Investigating high energy proton proton collisions with a multi-phase transport model approach based on PYTHIA8 initial conditions

Liang Zheng, Guang-Hui Zhang, Yun-Fan Liu +3

The striking resemblance of high multiplicity proton-proton (pp) collisions at the LHC to heavy ion collisions challenges our conventional wisdom on the formation of the Quark-Gluo…

hep-ph2020★ 8 cited

Particle productions and anisotropic flows from the AMPT model for Cu+Au collisions at GeV

Yuncun He, Zi-Wei Lin

We use the string melting version of a multi-phase transport (AMPT) model to study Cu+Au collisions at GeV. The rapidity distributions of identified hadrons sho…

hep-ph2018★ 12 cited

Charm quarks are more hydrodynamic than light quarks in final-state elliptic flow

Hanlin Li, Zi-Wei Lin, Fuqiang Wang

We study the charm quark elliptic flow () in heavy ion as well as small system collisions by tracking the evolution history of quarks of different flavors within a multi-pha…

hep-ph2016★ 35 cited

Predictions for Pb Collisions at TeV: Comparison with Data

J. L. Albacete, F. Arleo, G. G. Barnafoldi +35

Predictions made in Albacete {\it et al} prior to the LHC Pb run at TeV are compared to currently available data. Some predictions shown here have been upda…