New constraints for QCD matter from improved Bayesian parameter estimation in heavy-ion collisions at LHC
Parkkila, J. E., Onnerstad, A., Taghavi, S. F., Mordasini, C., Bilandzic, A., Virta, M., & Kim, D. J. (2022). New constraints for QCD matter from improved Bayesian parameter estimation in heavy-ion collisions at LHC. Physics Letters B, 835, Article 137485. https://doi.org/10.1016/j.physletb.2022.137485
Julkaistu sarjassa
Physics Letters BTekijät
Päivämäärä
2022Tekijänoikeudet
© 2022 The Author(s). Published by Elsevier B.V.
The transport properties of quark-gluon plasma created in relativistic heavy-ion collisions are quantified by an improved global Bayesian analysis using the CERN Large Hadron Collider Pb–Pb data at sNN=2.76 and 5.02 TeV. The results show that the uncertainty of the extracted transport coefficients is significantly reduced by including new sophisticated collective flow observables from two collision energies for the first time. This work reveals the stronger temperature dependence of specific shear viscosity, a lower value of specific bulk viscosity, and a higher hadronization switching temperature than in the previous studies. The sensitivity analysis confirms that the precision measurements of higher-order harmonic flow and their correlations are crucial in extracting accurate values of the transport properties.
Julkaisija
ElsevierISSN Hae Julkaisufoorumista
0370-2693Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/159016098
Metadata
Näytä kaikki kuvailutiedotKokoelmat
Rahoittaja(t)
Suomen AkatemiaRahoitusohjelmat(t)
Huippuyksikkörahoitus, SALisätietoja rahoituksesta
We acknowledge CSC – IT Center for Science in Espoo, Finland, for the allocation of the computational resources. This research was completed using ∼64 million CPU hours provided by CSC. Three of us (SFT,CM, and AB) have received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation program (Grant Agreement No. 759257). AO, CM, MV and DJK are supported by the Academy of Finland, the Centre of Excellence in Quark Matter (project 346324). ...Lisenssi
Samankaltainen aineisto
Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.
-
New constraints of QCD matter from improved Bayesian parameter estimation with the latest LHC data
Kim, Dong Jo; Parkkila, Jasper; Önnerstad, Anna (2022)Transport properties of the matter created in heavy-ion collisions, the quark-gluon plasma (QGP), contain essential information about quantum chromodynamics (QCD). In this talk, we present our latest study in inferring the ... -
New Constraints of QCD Matter from Bayesian Parameter Estimation with LHC Data
Kim, Dong Jo; Parkkila, Jasper; Önnerstad, Anna; Mordasini, Cindy; Taghavi, S. F.; Bilandzic, A. (2022) -
Improving Bayesian parameter estimation with the latest RHIC and LHC data including a new initial conditions model
Kim, Dong Jo; Virta, Maxim; Parkkila, Jasper (2023) -
Jet momentum broadening during initial stages in heavy-ion collisions
Boguslavski, K.; Kurkela, A.; Lappi, T.; Lindenbauer, F.; Peuron, J. (Elsevier, 2024)We study the jet quenching parameter ˆq in the initial pre-equilibrium stages of heavy-ion collisions using the QCD kinetic theory description of the anisotropic quark-gluon plasma. This allows us to smoothly close the gap ... -
Jet quenching parameter in QCD kinetic theory
Boguslavski, K.; Kurkela, A.; Lappi, T.; Lindenbauer, F.; Peuron, J. (American Physical Society, 2024)We study the jet quenching parameter q^ in a non-equilibrium plasma using the QCD effective kinetic theory. We discuss subleading terms at large jet momentum p, show that our expression for q^ reproduces thermal results ...
Ellei toisin mainittu, julkisesti saatavilla olevia JYX-metatietoja (poislukien tiivistelmät) saa vapaasti uudelleenkäyttää CC0-lisenssillä.