论文标题
基于动态核心图片的高能核冲突的统一描述
Unified description of high-energy nuclear collisions based on dynamical core--corona picture
论文作者
论文摘要
我建立了动态核心 - 核心初始化框架(DCCI2)作为一个最新的动力框架,能够描述LHC能量处的大小碰撞系统。在核心图片下,实施了平衡(核心)和未平衡(Corona)组件的贡献。我通过将核心图像纳入新型动力学初始化框架中,描述了系统在初始阶段的动力学分离。使用DCCI2,我在$ \ sqrt {s} = 7,13 $ tev和$ pb $+$+$ pb $ collisions in $ \ sqrt {s _ {\ mathrm {nn}}}} = 2.76 $ tev。特别是,我以$ p $+$ p $和$ pb $+$+$ pb $碰撞的核心和电晕组件的分数提取核心和电晕组件的分数,并揭示核心成分在$ \ langle dn _ {\ m mathrm {ch}}/dη\ rangle \ rangle $ $ $ $ $ $ ^ $ ^ 0.5.5 $ ^ 0.5.5.5.5.5.5.5.5.5.5.5.5.5.5.5.50我还发现,即使在$ pb $+$ pb $碰撞中,Corona的电晕贡献也非常低(低于$ p_t \ of1 $ gev),即使在$ pb $+$ pb $碰撞中也是不可忽略的,并表明此类贡献显着影响$ p_t $积累流量的流量系数。这些结果强烈表明,考虑非平衡组件以从模型到数据进行定量比较中提取夸克 - 杜伦等离子体的转运系数的重要性。
I establish the dynamical core--corona initialization framework (DCCI2) as a state-of-the-art dynamical framework that is capable of describing small and large colliding systems at the LHC energies. Under the core--corona picture, contributions from both equilibrated (core) and non-equilibrated (corona) components are implemented. I describe the dynamical separation of the system into the core and corona at the initial stage by incorporating the core--corona picture into the novel dynamical initialization framework. With DCCI2, I simulate $p$+$p$ collisions at $\sqrt{s}=7, 13$ TeV and $Pb$+$Pb$ collisions at $\sqrt{s_{\mathrm{NN}}}=2.76$ TeV. Especially, I extract the fractions of core and corona components in final hadron yields in $p$+$p$ and $Pb$+$Pb$ collisions as functions of multiplicity, and reveal that the core components become dominant at $\langle dN_{\mathrm{ch}}/dη\rangle_{|η|<0.5} \approx 20$. I also find that the corona contribution at very low $p_T$ (below $p_T\approx1$ GeV) is non-negligible even in $Pb$+$Pb$ collisions and show that such contributions significantly affect $p_T$-integrated flow coefficients. These results strongly suggest the importance of considering non-equilibrated components to extract transport coefficients of quark-gluon plasma from model-to-data comparisons quantitatively.