arXiv · 2110.02029
Jet-temperature anisotropy revealed through high-$p_\perp$ data
Abstract
We explore to what extent, and how, high-$p_\perp$ 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-$p_\perp$ $v_2$ and $(1-R_{AA})$ 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.
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Stefan Stojku, Jussi Auvinen, Lidija Zivkovic, Pasi Huovinen, Magdalena Djordjevic. 2022-02-28. Jet-temperature anisotropy revealed through high-$p_\perp$ data. https://doi.org/10.1016/j.physletb.2022.137501
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