paper

Jet-temperature anisotropy revealed through high- data

arXiv:2110.02029 · doi:10.1016/j.physletb.2022.137501

Abstract

We explore to what extent, and how, high- data and predictions reflect the shape and anisotropy of the QCD medium formed in ultrarelativistic heavy-ion collisions. To this end, we use our recently developed DREENA-A framework, which can accommodate any temperature profile within the dynamical energy loss formalism. We show that the ratio of high- and predictions reaches a well-defined saturation value, which is directly proportional to the time-averaged anisotropy of the evolving QGP, as seen by the jets.

15 pages, 6 figures

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