SMuK 2023 – wissenschaftliches Programm
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HK: Fachverband Physik der Hadronen und Kerne
HK 37: Heavy-Ion Collisions and QCD Phases VII
HK 37.4: Vortrag
Mittwoch, 22. März 2023, 16:30–16:45, SCH/A216
Bayesian analysis by using higher-order flow measurements at the LHC — •Seyed Farid Taghavi1, Jasper Parkkila2, Anna Onnerstad3, Cindy Mordasini4, Maxim Virta5, Ante Bilandzic6, and DongJo Kim7 for the ALICE Germany collaboration — 1Technische Universität München, Munich, Germany — 2CERN, Experimental Physics Department, Geneva, Switzerland — 3University of Jyväskylä, University of Jyväskylä, Finland — 4University of Jyväskylä, University of Jyväskylä, Finland — 5University of Jyväskylä, University of Jyväskylä, Finland — 6Technische Universität München, Munich, Germany — 7University of Jyväskylä, University of Jyväskylä, Finland
As a consequence of the theoretical improvements and a wide range of accurate experimental measurements, our understanding of the collective phenomena in heavy-ion collisions has advanced significantly over the past years. The Global Bayesian analysis has a substantial role in this advancement. In this talk, we present a global Bayesian analysis to infer the transport properties of QGP using the latest CERN Large Hadron Collider Pb-Pb data at √sNN=2.76 and 5.02 TeV. We show that including the latest multi-harmonic flow measurements significantly improves the uncertainties of the inferred specific shear and bulk viscosities. This observation shows the necessity of accurate measurements of collective flow observables in the future. Based on: PLB., 835 (2022) 137485. Funded by BMBF Verbundforschung (05P21WOCA1 ALICE), ERC European Unions Horizon 2020 (No. 759257), Academy of Finland, the Centre of Excellence in Quark Matter (No. 346324).