Jul 6 – 13, 2022
Bologna, Italy
Europe/Rome timezone

Improving Bayesian parameter estimation of QCD matter with the latest LHC heavy-ion collision data

Jul 8, 2022, 7:05 PM
1h 25m
Bologna, Italy

Bologna, Italy

Palazzo della Cultura e dei Congressi
Poster Heavy Ions Poster Session


Anna Önnerstad (University of Jyväskylä)


Transport properties of quark-gluon plasma (QGP) created in ultra-relativistic heavy-ion collisions, contain important information on quantum chromodynamics (QCD). With a more precise estimate of the transport properties, such as specific shear and bulk viscosity, it is possible to deepen our understanding of QCD. In this talk, we present our latest study in inferring the transport properties of QGP by an improved Bayesian analysis using the CERN Large Hadron Collider Pb-Pb data at sNN=2.76 and 5.02 TeV. We show that the uncertainty of the transport coefficients is significantly reduced by including the latest flow harmonic measurements, reflecting mostly nonlinear hydrodynamic responses. The analysis also reveals that higher-order harmonic flows and their correlations have a higher sensitivity to the transport properties than the other observables. This observation shows the necessity of accurate measurements of these observables in the future.

In-person participation Yes

Primary authors

Anna Önnerstad (University of Jyväskylä) Dr Jasper Elias Parkkila (CERN) Dong Jo Kim (Jyvasklya University)

Presentation materials