Revisiting initial condition modelling with the Bayesian parameter estimation with the latest RHIC and LHC data

Not scheduled
20m
Copenhagen

Copenhagen

Poster Collective dynamics from small to large systems

Speaker

Dong Jo Kim (University of Jyvaskyla (FI))

Description

Transport properties of the matter created in heavy-ion collisions, the quark-gluon plasma, contain essential information about quantum chromodynamics (QCD). The Bayesian analysis has shown to be very effective in constraining the QCD matter properties [1], and the combined inclusion of LHC Pb--Pb 5.02 and 2.76 TeV data with additional flow observables has greatly narrowed down the uncertainties [1]. However, our latest studies show some shortages of the current modelling of the initial conditions and difficulties in describing RHIC Au--Au collision data. In this talk, we discuss our findings and new results to improve modelling of the initial conditions of heavy-ion collisions.

[1] J.E. Parkkila et al., PLB 835, 137485 (2022)

What kind of work does this abstract pertain to? Theoretical
Which experiment is this abstract related to? Other

Author

Dong Jo Kim (University of Jyvaskyla (FI))

Co-authors

Maxim Mikael Olavi Virta (University of Jyväskylä) Jasper Parkkila (CERN)

Presentation materials

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