pith. sign in

Traces of non-equilibrium dynamics in relativistic heavy-ion collisions

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it
abstract

The impact of non-equilibrium effects on the dynamics of heavy-ion collisions is investigated by comparing a non-equilibrium transport approach, the Parton-Hadron-String-Dynamics (PHSD), to a 2D+1 viscous hydrodynamical model, which is based on the assumption of local equilibrium and conservation laws. Starting the hydrodynamical model from the same non-equilibrium initial condition as in the PHSD, using an equivalent lQCD Equation-of-State (EoS), the same transport coefficients, i.e. shear viscosity $\eta$ and the bulk viscosity $\zeta$ in the hydrodynamical model, we compare the time evolution of the system in terms of energy density, Fourier transformed energy density, spatial and momentum eccentricities and ellipticity in order to quantify the traces of non-equilibrium phenomena. In addition, we also investigate the role of initial pre-equilibrium flow on the hydrodynamical evolution and demonstrate its importance for final state observables. We find that due to non-equilibrium effects, the event-by-event transport calculations show large fluctuations in the collective properties, while ensemble averaged observables are close to the hydrodynamical results.

fields

nucl-th 1

years

2026 1

verdicts

UNVERDICTED 1

representative citing papers

CNN-Based Online Trigger for QGP Event Selection

nucl-th · 2026-05-25 · unverdicted · novelty 4.0

CNN trigger for QGP events reaches 83.7% accuracy on reconstructed Au+Au events at 30 AGeV after training on PHSD and cross-validation on UrQMD, with deployment via lightweight C++ package.

citing papers explorer

Showing 1 of 1 citing paper.

  • CNN-Based Online Trigger for QGP Event Selection nucl-th · 2026-05-25 · unverdicted · none · ref 31 · internal anchor

    CNN trigger for QGP events reaches 83.7% accuracy on reconstructed Au+Au events at 30 AGeV after training on PHSD and cross-validation on UrQMD, with deployment via lightweight C++ package.