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<p>Using a holographic QCD model calibrated through Bayesian inference, we calculate key transport coefficients of the quark-gluon plasma (QGP)—including the drag force, jet quenching parameter, heavy quark diffusion coefficient, and shear and bulk viscosities—within a finite temperature and finite density Einstein–Maxwell–dilaton framework, with the phenomenological analysis presented here focused on zero chemical potential. Posterior parameter distributions at the 68% and 95% credible levels, as well as the maximum a posteriori (MAP) estimates, are employed to quantify uncertainties. Our findings indicate that the diffusion coefficient within the Bayesian credible regions aligns with lattice QCD results for <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(T \sim 1.2T_\text {c}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>T</mi> <mo>∼</mo> <mn>1.2</mn> <msub> <mi>T</mi> <mtext>c</mtext> </msub> </mrow> </math></EquationSource> </InlineEquation> to <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(2T_\text {c}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>2</mn> <msub> <mi>T</mi> <mtext>c</mtext> </msub> </mrow> </math></EquationSource> </InlineEquation>, and is consistent with ALICE experimental measurements near <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(T_\text {c}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>T</mi> <mtext>c</mtext> </msub> </math></EquationSource> </InlineEquation>. The jet quenching parameter derived from the posterior ensemble is compatible with RHIC and LHC data, while the extracted viscosity trends are consistent with representative phenomenological and holographic results. These results demonstrate the utility of Bayesian-calibrated holography for constraining the non-perturbative transport properties of QCD matter.</p>

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Transport properties of QGP within a Bayesian holographic QCD model

  • 期刊论文

  • 发表日期：

    2026年5月23日

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  • Bing Chen,
  • Liqiang Zhu,
  • Xun Chen,
  • De-Fu Hou,
  • Xu-Rong Chen

摘要

Using a holographic QCD model calibrated through Bayesian inference, we calculate key transport coefficients of the quark-gluon plasma (QGP)—including the drag force, jet quenching parameter, heavy quark diffusion coefficient, and shear and bulk viscosities—within a finite temperature and finite density Einstein–Maxwell–dilaton framework, with the phenomenological analysis presented here focused on zero chemical potential. Posterior parameter distributions at the 68% and 95% credible levels, as well as the maximum a posteriori (MAP) estimates, are employed to quantify uncertainties. Our findings indicate that the diffusion coefficient within the Bayesian credible regions aligns with lattice QCD results for \(T \sim 1.2T_\text {c}\) T ∼ 1.2 T c to \(2T_\text {c}\) 2 T c , and is consistent with ALICE experimental measurements near \(T_\text {c}\) T c . The jet quenching parameter derived from the posterior ensemble is compatible with RHIC and LHC data, while the extracted viscosity trends are consistent with representative phenomenological and holographic results. These results demonstrate the utility of Bayesian-calibrated holography for constraining the non-perturbative transport properties of QCD matter.