Exploring the QCD phase diagram - SMASH, gluonic hot spots and deep learning

Hannah Petersen (Frankfurt / GSI Darmstadt)

Abstract: 

In the first part of the talk, I will introduce a newly developed hadronic transport apporach, SMASH (Simulating Many Accelerated Strongly-interacting Hadrons). After explaining all the ingredients of this approach, e.g. initial conditions and resonance properties, the approach is validated by a comparison to an analytic solution of the Boltzmann equation. Light and strange particle production and collective flow are compared to experimental data from elementary and nucleus-nucleus collisions in the low energy regime accessible at GSI. The implications of this new approach for dilepton production will be discussed including an outlook on the non-equilibrium hadronic production of electromagnetic probes at high beam energies at RHIC and LHC. In addition, the impact of resonance properties on transport coefficients of hadronic matter is demonstrated.

In the second part of the talk, I will cover recent developments to include correlations between gluonic hot spots to model the sub-structure of the proton and their influence on the eccentricities and in small systems. Finally, I will also highlight how deep learning techniques can be applied to heavy ion physics to extract features, e.g. a first order phase transition in the QCD phase diagram.

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