Quark Matter 2023

Revisiting Initial Condition Modeling of Heavy Ion Collisions with Bayesian Parameter Estimation Using the latest RHIC and LHC data

5 Sept 2023, 17:30

2h 10m

Grand Ballroom, 4th floor ( Hilton of the Americas)

Poster New theoretical developments Poster Session

Speaker

Maxim Virta (University of Jyväskylä)

Description

The transport properties of the quark-gluon plasma, which is produced in heavy-ion collisions, provide crucial information about quantum chromodynamics (QCD). Bayesian analysis has been highly effective in constraining QCD matter properties [1, 2]. When combined with additional flow observables, LHC Pb-Pb data at 5.02 and 2.76 TeV have significantly reduced the uncertainties [2]. However, our latest studies have revealed shortcomings in the current modeling of initial conditions and difficulties in describing RHIC Au-Au collision data. In this talk, we will discuss our findings and new results aimed at improving the modeling of initial conditions in heavy-ion collisions.

[1] Nature Physics 10.1038/s41567-019- 0611-8 (2019)

[2] Phys.Rev.C 104 (2021) 5, 054904

[3] Phys.Lett.B 835 (2022) 137485