论文标题
多系统贝叶斯对QCD物质传输系数的约束
Multi-system Bayesian constraints on the transport coefficients of QCD matter
论文作者
论文摘要
我们研究了强耦合的夸克 - 胶子等离子体的特性,其中包括重离子碰撞的多阶段模型,结合了T $ _ \ Mathrm {r} $初始条件ANSATZ,自由流,自由流,粘性相对论水动力学和相对性的Hadronic Hedronic Transpert。进行了与贝叶斯推断的模型与数据比较,这是先前研究中做出的重新审视的假设。根据其对结果的解释的重要性,研究了参数先验的作用。我们强调使用封闭测试在与观测值进行比较之前对分析工作流进行广泛的验证。我们的研究结合了大型强子对撞机和相对论重离子对撞机的测量结果,可以同时描述两个撞机的范围广泛的Handronic可观察物。所选的实验数据在$ t \ sim $ 150-250 MEV上提供了夸克 - 胶状等离子体的剪切和散装粘度的合理限制,但是它们在较高温度下的约束功率降低了$ t \ gtrsim 250 $ MEV。此外,发现这些粘度约束显着取决于从流体动力学到辐射转运的过渡中如何处理粘性校正。其他几个模型参数,包括自由流时间,显示出相似的模型灵敏度,而与T $ _ \ Mathrm {r} $ Ento Ansatz相关的初始条件参数对于明智的处方的变化非常有力。我们还报告了单个可观察到对各种模型参数的敏感性。最后,贝叶斯模型选择用于定量地将一致性与不同模型假设集的测量值进行比较,包括不同的参数模型以及允许参数在RHIC和LHC能量之间变化的不同选择。
We study the properties of the strongly-coupled quark-gluon plasma with a multistage model of heavy ion collisions that combines the T$_\mathrm{R}$ENTo initial condition ansatz, free-streaming, viscous relativistic hydrodynamics, and a relativistic hadronic transport. A model-to-data comparison with Bayesian inference is performed, revisiting assumptions made in previous studies. The role of parameter priors is studied in light of their importance towards the interpretation of results. We emphasize the use of closure tests to perform extensive validation of the analysis workflow before comparison with observations. Our study combines measurements from the Large Hadron Collider and the Relativistic Heavy Ion Collider, achieving a good simultaneous description of a wide range of hadronic observables from both colliders. The selected experimental data provide reasonable constraints on the shear and the bulk viscosities of the quark-gluon plasma at $T\sim$ 150-250 MeV, but their constraining power degrades at higher temperatures $T \gtrsim 250$ MeV. Furthermore, these viscosity constraints are found to depend significantly on how viscous corrections are handled in the transition from hydrodynamics to the hadronic transport. Several other model parameters, including the free-streaming time, show similar model sensitivity while the initial condition parameters associated with the T$_\mathrm{R}$ENTo ansatz are quite robust against variations of the particlization prescription. We also report on the sensitivity of individual observables to the various model parameters. Finally, Bayesian model selection is used to quantitatively compare the agreement with measurements for different sets of model assumptions, including different particlization models and different choices for which parameters are allowed to vary between RHIC and LHC energies.