Abstract.
The HADES data from p + Nb collisions at a center-of-mass energy of \( \sqrt{s_{NN}} = 3.2\) GeV are analyzed employing a statistical hadronization model. The model can successfully describe the production yields of the identified hadrons \( \pi^{0}\), \( \eta\), \( \Lambda\), K 0 s, \( \omega\) with parameters \( T_{chem} = (99\pm 11)\) MeV and \( \mu_{b} = (619\pm 34)\) MeV, which fit well into the chemical freeze-out systematics found in heavy-ion collisions. In addition, we reanalyze our previous HADES data from Ar + KCl collisions at \( \sqrt{s_{NN}} = 2.6\) GeV with an updated version of the model. We address equilibration in heavy-ion collisions by testing two aspects: the description of yields and the regularity of freeze-out parameters from a statistical model fit as a function of colliding energy and system size. Despite its success, the model fails to describe the observed \( \Xi^{-}\) yields in both, p + Nb and Ar + KCl . Special emphasis is put on feed-down contributions from higher-lying resonance states as a possible explanation for the observed excess.
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HADES Collaboration., Agakishiev, G., Arnold, O. et al. Statistical hadronization model analysis of hadron yields in p + Nb and Ar + KCl at SIS18 energies. Eur. Phys. J. A 52, 178 (2016). https://doi.org/10.1140/epja/i2016-16178-x
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DOI: https://doi.org/10.1140/epja/i2016-16178-x