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Towards an Interpretation of the First Measurements of Energy Correlators in the Quark-Gluon Plasma

Journal of High Energy Physics(2025)

Laboratório de Instrumentaçäo e Física Experimental de Partículas (LIP) | Universidade de Santiago de Compostela | University of Manchester | Institut Polytechnique de Paris | Yale University

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Abstract
Energy correlators have recently been proposed as a class of jet substructure observables that directly link experimental measurements of the asymptotic energy flux with the field theoretic description of the underlying microscopic dynamics. This link holds particular promise in heavy-ion physics, where both experimental measurements and theoretical interpretations are inherently complex. With recent measurements of energy correlators in proton-proton collisions, the first measurement of these observables on inclusive jets in heavy-ion collisions underscores the importance of a theoretical understanding of their behavior in this complex environment. In this manuscript, we extend our previous calculations to account for several effects necessary for a qualitative understanding of the behavior of energy correlators on inclusive jets in heavy-ion collisions. Through a semi-analytic approach implemented in a hydrodynamically expanding quark-gluon plasma (QGP), we account for medium-induced radiation with leading broadening effects, selection biases arising from energy loss, and a description of the confinement transition. Our results represent a crucial first step towards interpreting the measurements of energy correlators on inclusive jets in heavy-ion collisions, which marks a significant milestone in connecting heavy-ion experiment and fundamental quantum field theory, in the quest to disentangle the microscopic dynamics of the QGP.
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Jets and Jet Substructure,Quark-Gluon Plasma
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要点】:本文通过半解析方法研究了能量相关子在重离子碰撞中强子 jets 上的行为,为理解夸克-胶子等离子体微观动力学的实验测量提供了理论解释。

方法】:作者采用半解析方法,在流体动力学膨胀的夸克-胶子等离子体中考虑了介质诱导辐射、领先展宽效应、能量损失引起的选取偏差以及禁闭相变描述。

实验】:通过模拟研究,作者的工作为解释重离子碰撞中包容 jets 上的能量相关器测量提供了理论支持,但文中未具体提及使用的数据集名称及实验结果。