论文标题
通过大量风味数据了解碰撞能源损失的质量层次结构
Understanding mass hierarchy in collisional energy loss through heavy flavor data
论文作者
论文摘要
尽管在辐射模型中归因和分析了实验观察，例如质量层次结构效应，但它们的解释至关重要地取决于碰撞能量损失的贡献，这在此类分析中经常被忽略。据我们所知，碰撞能量损失与重型夸克质量之间均未建立（直接的）简单关系，也不是可观察到的量化这种效果的可观察的。另一方面，RHIC和LHC的即将进行的高亮度测量将以前所未有的精度生成重型风味数据，从而提供了利用高PPT的重型风味数据来分析Quark-Gluon Plasma中的相互作用机制的机会。为此，我们采用了一个基于动态能量损失形式主义的最近开发的Dreena框架来研究重型风味抑制的质量层次结构。我们提出I）碰撞抑制/能量损失与重夸克质量之间直接关系的分析推导。 ii）一种新颖的可观察到仅对未来高精度实验测试的碰撞能量损失机制敏感的。 iii）通过可观察到的碰撞能量损失中质量层次结构的分析和数值提取。
While experimental observations, such as the mass hierarchy effect, are attributed and analyzed within radiative models, their interpretation crucially depends on collisional energy loss contribution, which is often neglected in such analyses. To our knowledge, neither a (direct) simple relation between collisional energy loss and heavy quark mass is established, nor an observable that quantifies this effect. On the other hand, the upcoming high-luminosity measurements at RHIC and LHC will generate heavy flavor data with unprecedented precision, providing an opportunity to utilize high-pT heavy flavor data to analyze the interaction mechanisms in the quark-gluon plasma. To this end, we employ a recently developed DREENA framework based on our dynamical energy loss formalism to study the mass hierarchy in heavy flavor suppression. We present i) Analytical derivation of a direct relation between collisional suppression/energy loss and heavy quark mass. ii) A novel observable sensitive only to the collisional energy loss mechanism to be tested by future high-precision experiments. iii) Analytical and numerical extraction of the mass hierarchy in collisional energy losses through this observable.
