Probing chemical freeze-out criteria in relativistic nuclear collisions with coarse grained transport simulations
Reichert, T., Inghirami, G., & Bleicher, M. (2020). Probing chemical freeze-out criteria in relativistic nuclear collisions with coarse grained transport simulations. European Physical Journal A, 56(10), Article 267. https://doi.org/10.1140/epja/s10050-020-00273-y
Julkaistu sarjassa
European Physical Journal APäivämäärä
2020Tekijänoikeudet
© The Authors, 2020
We introduce a novel approach based on elastic and inelastic scattering rates to extract the hyper-surface of the chemical freeze-out from a hadronic transport model in the energy range from Elab = 1.23 AGeV to √sNN = 62.4 GeV. For this study, the Ultra-relativistic Quantum Molecular Dynamics (UrQMD) model combined with a coarse-graining method is employed. The chemical freeze-out distribution is reconstructed from the pions through several decay and re-formation chains involving resonances and taking into account inelastic, pseudo-elastic and string excitation reactions. The extracted average temperature and baryon chemical potential are then compared to statistical model analysis. Finally we investigate various freeze-out criteria suggested in the literature. We confirm within this microscopic dynamical simulation, that the chemical freeze-out at all energies coincides with ⟨E⟩/⟨N⟩ ≈1 GeV, while other criteria, like s/T3 = 7 and nB+nB¯ ≈ 0.12 fm−3 are limited to higher collision energies.
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https://converis.jyu.fi/converis/portal/detail/Publication/42895668
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The authors thank Paula Hillmann, Michael Wondrak, Vincent Gaebel, Michel Bonne, Alexander Elz and Harri Niemi for fruitful discussions. G. Inghirami is supported by the Academy of Finland, Project no. 297058. This work was supported by Deutscher Akademischer Austauschdienst (DAAD), Helmholtz Forschungsakademie Hessen (HFHF) and in the framework of COST Action CA15213 (THOR). The computational resources were provided by the Center for Scientific Computing (CSC) of the Goethe-University Frankfurt. Open Access funding enabled and organized by Projekt DEAL. ...Lisenssi
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