A phenomenological analysis of the experimental measurements of transverse momentum spectra of identified charged hadrons and strange hyperons in Pb-Pb and Xe-Xe collisions at the CERN Large Hadron Collider (LHC) is presented. The analysis is based on the relativistic fluid dynamics description implemented in the numerically efficient FLUIDuM approach. Building on our previous work, we separate in our treatment the chemical and kinetic freeze -outs, and incorporate the partial chemical equilibrium to describe the late stages of the collision evolution. This analysis makes use of Bayesian inference to determine key parameters of the quark -gluon plasma (QGP) evolution and its properties including the shear and bulk viscosity to entropy ratios, the initialization time, the initial entropy density, and the freeze -out temperatures. The physics parameters and their posterior probabilities are extracted using a global search in multidimensional space with modern machine learning tools, such as ensembles of neural networks. We employ our newly developed fast framework to assess systematic uncertainties in the extracted model parameters by systematically varying key components of our analysis.
Mapping properties of the quark gluon plasma in Pb-Pb and Xe-Xe collisions at energies available at the CERN Large Hadron Collider / Vermunt, L.; Seemann, Y.; Dubla, A.; Floerchinger, S.; Grossi, E.; Kirchner, A.; Masciocchi, S.; Selyuzhenkov, I.. - In: PHYSICAL REVIEW C. - ISSN 2469-9985. - ELETTRONICO. - 108:(2023), pp. 0-0. [10.1103/physrevc.108.064908]
Mapping properties of the quark gluon plasma in Pb-Pb and Xe-Xe collisions at energies available at the CERN Large Hadron Collider
Grossi, E.
Membro del Collaboration Group
;
2023
Abstract
A phenomenological analysis of the experimental measurements of transverse momentum spectra of identified charged hadrons and strange hyperons in Pb-Pb and Xe-Xe collisions at the CERN Large Hadron Collider (LHC) is presented. The analysis is based on the relativistic fluid dynamics description implemented in the numerically efficient FLUIDuM approach. Building on our previous work, we separate in our treatment the chemical and kinetic freeze -outs, and incorporate the partial chemical equilibrium to describe the late stages of the collision evolution. This analysis makes use of Bayesian inference to determine key parameters of the quark -gluon plasma (QGP) evolution and its properties including the shear and bulk viscosity to entropy ratios, the initialization time, the initial entropy density, and the freeze -out temperatures. The physics parameters and their posterior probabilities are extracted using a global search in multidimensional space with modern machine learning tools, such as ensembles of neural networks. We employ our newly developed fast framework to assess systematic uncertainties in the extracted model parameters by systematically varying key components of our analysis.File | Dimensione | Formato | |
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