论文标题
与数据驱动模型平均QCD物质的传输特性的现象学约束
Phenomenological constraints on the transport properties of QCD matter with data-driven model averaging
论文作者
论文摘要
使用相对论重离子和大型强子围栏的组合数据,我们在$ {\ sim \,} 150 { - } 350 $ MEV的温度下限制了夸克 - 杜伦等离子体(QGP)的剪切和散装粘度。我们使用贝叶斯推断将实验和理论不确定性转化为粘度的概率约束。通过平均贝叶斯模型,我们在从QGP的流体描述到最终演化阶段的辐射转运的过渡中说明了不可约可减少的模型歧义,从而在QGP粘度下提供了最可靠的现象学约束。
Using combined data from the Relativistic Heavy Ion and Large Hadron Colliders, we constrain the shear and bulk viscosities of quark-gluon plasma (QGP) at temperatures of ${\sim\,}150{-}350$ MeV. We use Bayesian inference to translate experimental and theoretical uncertainties into probabilistic constraints for the viscosities. With Bayesian Model Averaging we account for the irreducible model ambiguities in the transition from a fluid description of the QGP to hadronic transport in the final evolution stage, providing the most reliable phenomenological constraints to date on the QGP viscosities.