Statistical hadronization model analysis of hadron yields in p + Nb and Ar + KCl at SIS18 energies

Abstract : The HADES data from p + Nb collisions at a center-of-mass energy of GeV are analyzed employing a statistical hadronization model. The model can successfully describe the production yields of the identified hadrons , , , K 0 s, with parameters MeV and 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 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 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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European Physical Journal A, EDP Sciences, 2016, 52 (6), pp.178. 〈10.1140/epja/i2016-16178-x〉
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Contributeur : Sophie Heurteau <>
Soumis le : lundi 29 août 2016 - 14:18:47
Dernière modification le : jeudi 11 janvier 2018 - 06:12:41

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G. Agakishiev, O. Arnold, A. Balanda, D. Belver, A. Belyaev, et al.. Statistical hadronization model analysis of hadron yields in p + Nb and Ar + KCl at SIS18 energies. European Physical Journal A, EDP Sciences, 2016, 52 (6), pp.178. 〈10.1140/epja/i2016-16178-x〉. 〈in2p3-01357202〉

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