Jet-temperature anisotropy revealed through high-$p_\perp$ data

TL;DR

This paper demonstrates that high-$p_ot$ data and predictions can reveal the shape and anisotropy of the quark-gluon plasma in heavy-ion collisions, using a new theoretical framework.

Contribution

The study introduces the DREENA-A framework that models temperature profiles and connects high-$p_ot$ observables to the medium's anisotropy in a novel way.

Findings

The ratio of high-$p_ot$ $v_2$ to $(1-R_{AA})$ saturates at a value proportional to the medium's anisotropy.

The framework can accommodate any temperature profile within the dynamical energy loss formalism.

High-$p_ot$ observables serve as direct probes of the QGP's anisotropic shape.

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.