Speaker
Description
Longitudinal fluctuations originating from strings in the initial state of high-energy heavy ion collisions are investigated within an AMPT+CLVIsc relativistic fluid dynamics calculation. The results are compared to CMS and STAR data on the decorrelation of event planes.
The sub-structure of protons is crucial to understand collective effects in small systems. In this work, correlations between gluonic hot spots are investigated and in particular the effect of the correlations on flow correlation observables. First, this is evaluated in coordinate space and first results for the corresponding final state momentum space structures after a hydrodynamic evolution are also shown.
A new hadron transport approach (SMASH) is introduced and validated against bulk observables at SIS energies. The hadron gas viscosity as a function of temperature and baryon chemical potential has been calculated within this approach, highlighting the influence of resonance lifetimes on the relaxation dynamics of the system. The effect of hadronic rescattering on flow and correlation observables at high energies is assessed. In addition, this approach is applied to study the initial collisions at intermediate beam energies to understand the baryon stopping dynamics that is highly relevant for the beam energy scan program at RHIC and future FAIR.
Since heavy ion collisions are complex and the modelling contains many uncertainties, we have applied deep learning techniques to assess sensitivities in the transverse momentum - azimuthal angle plane of final state particles to the equation of state. I will report on a proof-of-principle study employing fluid dynamics for the dynamical evolution of the system.