Statistical model analysis of hadron yields in proton-nucleus and heavy-ion collisions at SIS 18 energies


Abstract in English

The HADES data from p+Nb collisions at center of mass energy of $sqrt{s_{NN}}$= 3.2 GeV are analyzed by employing a statistical model. Accounting for the identified hadrons $pi^0$, $eta$, $Lambda$, $K^{0}_{s}$, $omega$ allows a surprisingly good description of their abundances with parameters $T_{chem}=(99pm11)$ MeV and $mu_{b}=(619pm34)$ MeV, which fits well in the chemical freeze-out systematics found in heavy-ion collisions. In supplement we reanalyze our previous HADES data from Ar+KCl collisions at $sqrt{s_{NN}}$= 2.6 GeV with an updated version of the statistical 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. Special emphasis is put on feed-down contributions from higher-lying resonance states which have been proposed to explain the experimentally observed $Xi^-$ excess present in both data samples.

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