Logo
ScienceStack
Table of Contents
Fetching ...
Sign In

Can high-$p_\perp$ theory and data constrain $η/s$?

Bithika Karmakar, Dusan Zigic, Igor Salom, Jussi Auvinen, Pasi Huovinen, Marko Djordjevic, Magdalena Djordjevic

Abstract

Understanding the temperature dependence of the specific shear viscosity $(η/s)$ is crucial for characterizing the properties of the QCD matter produced in ultrarelativistic heavy-ion collisions. Since, low-$p_\perp$ theory and data are only weakly sensitive to the typical forms of $η/s(T)$, especially at high temperatures, we use high-$p_\perp$ data and theory to impose additional constraints on it. Our approach, based on dynamical radiative and collisional energy loss of high-$p_\perp$ particles, provides promising results in constraining the temperature dependence of $η/s$.

Can high-$p_\perp$ theory and data constrain $η/s$?

Abstract

Understanding the temperature dependence of the specific shear viscosity is crucial for characterizing the properties of the QCD matter produced in ultrarelativistic heavy-ion collisions. Since, low- theory and data are only weakly sensitive to the typical forms of , especially at high temperatures, we use high- data and theory to impose additional constraints on it. Our approach, based on dynamical radiative and collisional energy loss of high- particles, provides promising results in constraining the temperature dependence of .
Paper Structure (4 sections, 3 equations, 2 figures)

This paper contains 4 sections, 3 equations, 2 figures.

Table of Contents

  1. Introduction
  2. Formalism
  3. Results
  4. Summary

Figures (2)

  • Figure 1: DREENA predictions for $R_{AA}$ and high-$p_\perp$ flow harmonics $v_2$, $v_3$, and $v_4$ of charged hadrons at 20-30% and 40-50% in Pb+Pb ($\sqrt{s}=5.02$ TeV) (panels a, b) and Au+Au ($\sqrt{s}=200$ GeV) (panels c, d) collisions are shown and compared with experimental data. For more details, see Ref. Karmakar:2023ity.
  • Figure 2: $\eta/s$ computed from $\hat{q}$ is compared with the three $\eta/s(T)$ parametrizations (left panel). It is compared with the 90% credible intervals of the Bayesian analyses of Refs. Bernhard:2019bmuAuvinen:2020mpc (right panel).