论文标题
党派运输模型应用于浓烈的风味
Partonic transport model application to heavy flavor
论文作者
论文摘要
重量味颗粒是对相对论重离子碰撞中热和密集的核培养基的特性的极好探针。碰撞的夸克 - 胶质等离子体（QGP）阶段中的重量培养运输系数特别有趣，因为它们包含有关有限温度下强相互作用的重要信息。在动态发展的培养基中研究重培养的演变需要对培养基和探针进行全面的多阶段建模方法，并准确地实现了要测试的物理成分。为此，我开发了一种新的党派传输模型（Linear-Boltzmann-Plus-diffusion-transport-Model）Lido，并将其应用于QGP内的重夸克传播。该模型具有改进的Parton Bremsstrahlung的实施，并对探针中的相互作用进行了灵活的处理，结合了大角度散射和扩散过程。然后，该模型与高能量事件产生剂，流体动力培养基进化和HADRONIC转运模型耦合。最后，使用贝叶斯分析，我从模型到数据比较中提取了重夸克传输系数。发现具有不确定性定量的结果与早期在高动量下的轻夸克运输系数提取，并首先计算低势头下的重风味扩散常数。
Heavy-flavor particles are excellent probes of the properties of the hot and dense nuclear medium created in the relativistic heavy-ion collisions. Heavy-flavor transport coefficients in the quark-gluon plasma (QGP) stage of the collisions are particularly interesting, as they contain important information on the strong interaction at finite temperatures. Studying the heavy-flavor evolution in a dynamically evolving medium requires a comprehensive multi-stage modeling approach of both the medium and the probes, with an accurate implementation of the physical ingredients to be tested. For this purpose, I have developed a new partonic transport model (Linear-Boltzmann-plus-Diffusion-Transport-Model) LIDO and applied it to heavy quark propagation inside a QGP. The model has an improved implementation of parton in-medium bremsstrahlung and a flexible treatment of the probe-medium interactions, combining both large angle scatterings and diffusion processes. The model is then coupled to a high-energy event-generator, a hydrodynamic medium evolution and a hadronic transport model. Finally, applying a Bayesian analysis, I extract the heavy quark transport coefficients from a model-to-data comparison. The results, with uncertainty quantification, are found to be consistent with earlier extraction of the light-quark transport coefficients at high momentum and with first-principle calculations of the heavy flavor diffusion constant at low momentum.
