Exploring Transport Properties of Quark-Gluon Plasma in Flavor-Dependent Systems with a Holographic Model

TL;DR

This paper uses a holographic model to study how the transport properties of quark-gluon plasma depend on flavor, providing results consistent with lattice data and experimental estimates, thus enhancing understanding of QGP behavior.

Contribution

It introduces a flavor-dependent holographic model that accurately predicts transport coefficients of QGP, aligning with lattice and experimental data.

Findings

Diffusion coefficient matches lattice data for different flavors.

Jet quenching parameter aligns with Bayesian analysis estimates.

Model effectively describes QGP transport properties.

Abstract

Based on the holographic model, which incorporates the equation of state (EoS) and baryon number susceptibility for different flavors, we calculate the drag force, jet quenching parameter, and diffusion coefficient of the heavy quark at finite temperature and chemical potential. The holographic results for the diffusion coefficient align with lattice data for $N_f = 0$ and $N_f = 2+1$, falling within their error margins. The holographic diffusion coefficient for heavy quark in the systems of different flavors \textcolor{red}{is compatible with estimates from ALICE data.} The jet quenching parameter in our model demonstrates strong consistency \textcolor{red}{with the estimations obtained from Bayesian analysis of data from both RHIC and LHC for different flavors.} We can confirm the model provides a good description of the transport properties of QGP. The work reinforces the potential of bottom-up holographic model in advancing our understanding of transport properties of hot and dense quark-gluon plasma.