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Abstract <p>In this paper, we propose a method for numerical modeling of the nuclear matter properties within the framework of relativistic heavy-ion collisions using a holographic equation of state. Model’s free parameters are calibrated using lattice results for quark masses approximating physical values and adjusted to match the Regge spectra of <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\rho\)</EquationSource> <!--NuclPhys2660007Anufriev-m1--> </InlineEquation> mesons. Numerical simulations are performed using the iEBE-MUSIC framework, which incorporates the MUSIC relativistic hydrodynamics solver. We modify the code 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. Finally, the spectra of produced hadrons are computed using a hybrid iSS <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(+\)</EquationSource> <!--NuclPhys2660007Anufriev-m2--> </InlineEquation> UrQMD approach at the freeze-out stage.</p>

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Application of the Holographic Equation of State for Numerical Modeling of the Evolution of Quark–Gluon Plasma

  • 期刊论文

  • 发表日期：

    2026年2月1日

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  • Anton Anufriev,
  • Vladimir Kovalenko

摘要

Abstract

In this paper, we propose a method for numerical modeling of the nuclear matter properties within the framework of relativistic heavy-ion collisions using a holographic equation of state. Model’s free parameters are calibrated using lattice results for quark masses approximating physical values and adjusted to match the Regge spectra of \(\rho\) mesons. Numerical simulations are performed using the iEBE-MUSIC framework, which incorporates the MUSIC relativistic hydrodynamics solver. We modify the code 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. Finally, the spectra of produced hadrons are computed using a hybrid iSS \(+\) UrQMD approach at the freeze-out stage.