DREENA-C框架内LHC上$Pb+Pb$碰撞的联合$R_{AA}$和$v_2$预测
Joint $R_{AA}$ and $v_2$ predictions for $Pb+Pb$ collisions at the LHC within DREENA-C framework
摘要：
在本文中，我们提出了我们最近开发的DREENA-C框架，这是一个完全优化的计算抑制程序的基础上，我们的国家的最先进的动态能量损失形式主义在恒温有限尺寸QCD介质。有了这个框架，我们第一次，在我们的动力学能量损失形式主义产生联合$R_{AA}$和$v_2$预测。预测产生的轻和重的味道探针，和不同的中心区域的$Pb+Pb$碰撞在LHC，并与现有的实验数据进行比较。尽管事实上，DREENA-C不包含介质的演变（$v_2$是很敏感的）和事实上，其他方法面临的困难，在解释$v_2$数据，我们发现，DREENA-C导致定性良好的协议与此数据，虽然定量，预测明显高于实验数据。直观的解释背后这样的结果，支持我们的模型的有效性，预计在DREENA框架的持续改进中引入演化，将导致更好的联合协议与$R_{AA}$和$v_2$数据，并允许更好地理解潜在的QCD介质。
英文摘要：
In this paper, we presented our recently developed DREENA-C framework, which is a fully optimized computational suppression procedure based on our state-of-the-art dynamical energy loss formalism in constant temperature finite size QCD medium. With this framework, we for the first time, generated joint $R_{AA}$ and $v_2$ predictions within our dynamical energy loss formalism. The predictions are generated for both light and heavy flavor probes, and different centrality regions in $Pb+Pb$ collisions at the LHC, and compared with the available experimental data. Despite the fact that DREENA-C does not contain medium evolution (to which $v_2$ is largely sensitive) and the fact that other approaches faced difficulties in explaining $v_2$ data, we find that DREENA-C leads to qualitatively good agreement with this data, though quantitatively, the predictions are visibly above the experimental data. Intuitive explanation behind such results is presented, supporting the validity of our model, and it is expected that introduction of evolution in the ongoing improvement of DREENA framework, will lead to better joint agreement with $R_{AA}$ and $v_2$ data, and allow better understanding of the underlying QCD medium.
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