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A phenomenological analysis of the experimental measurements of transversemomentum spectra of identified charged hadrons and strange hyperons in Pb-Pband Xe-Xe collisions at the LHC is presented. The analysis is based on therelativistic fluid dynamics description implemented in the numericallyefficient \textsc{Fluid{\it u}M} approach. Building on our previous work, weseparate in our treatment the chemical and kinetic freeze-out, and incorporatethe partial chemical equilibrium to describe the late stages of the collisionevolution. This analysis makes use of Bayesian inference to determine keyparameters of the QGP evolution and its properties including the shear and bulkviscosity to entropy ratios, the initialisation time, the initial entropydensity, and the freeze-out temperatures. The physics parameters and theirposterior probabilities are extracted using a global search in multidimensionalspace with modern machine learning tools, such as ensembles of neural networks.We employ our newly developed fast framework to assess systematic uncertaintiesin the extracted model parameters by systematically varying key components ofour analysis.

Mapping properties of the quark gluon plasma in Pb-Pb and Xe-Xe collisions at energies available at the CERN Large Hadron Collider