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arXiv 2203.06646hep-phnucl-th
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通过重味数据理解碰撞能量损失中的质量层次

Understanding mass hierarchy in collisional energy loss through heavy flavor data

Bojana Ilic, Magdalena Djordjevic

摘要:

虽然实验观测,如质量等级效应,归因于辐射模型和分析,其解释至关重要地取决于碰撞能量损失的贡献,这往往是在这种分析中被忽略。据我们所知,碰撞能量损失和重夸克质量之间既没有建立(直接)简单的关系,也没有量化这种效应的观测值。另一方面,即将在RHIC和LHC进行的高光度测量将产生前所未有的精确度的重味数据,这为利用高pT重味数据分析夸克-胶子等离子体中的相互作用机制提供了机会。为此,我们采用了最近开发的DREENA框架的基础上,我们的动态能量损失形式主义研究重味抑制的质量层次结构。我们提出i)碰撞抑制/能量损失和重夸克质量之间的直接关系的分析推导。ii)一种新的观测,只对碰撞能量损失机制敏感,将由未来的高精度实验进行测试。iii)通过这一可观测的碰撞能量损失中的质量等级的分析和数值提取。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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