Numerical simulation demonstrates a matched holographic and hadron gas equation of state in heavy-ion collisions, enabling improved hydrodynamic modeling of quark-gluon plasma evolution.
In this paper, we discuss the matching of the holographic equation of state with the equation of Hadron Resonance Gas for studying the nuclear matter properties within the framework of relativistic heavy-ion collisions. Machine learning methods are applied to the calibration of free parameters of the model using the lattice QCD results for the physical values of quark masses. One of the most advanced procedures for matching is used with the function that approximates behavior of two models. Final hadronic spectra are obtained within multi-staged numerical approach of iEBE-MUSIC and SMASH-vHLLE packages. The code of relativistic hydrodynamics is modified by implementing a tabulated holographic equation of state, enabling simulations of quark-gluon plasma evolution with dynamically generated initial conditions via the 3D Monte Carlo Glauber Model and SMASH. Hybrid iSS and Hadron Sampler approaches are utilized at the freeze-out stage.
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Anufriev et al. (2026) studied this question.
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