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Statistical hadronization model analysis of hadron yields in p + Nb and Ar + KCl at SIS18 energies
- Source :
- European Physical Journal A, European Physical Journal A, EDP Sciences, 2016, 52 (6), pp.178. ⟨10.1140/epja/i2016-16178-x⟩, Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos), Agência para a Sociedade do Conhecimento (UMIC)-FCT-Sociedade da Informação, instacron:RCAAP, Eur.Phys.J.A
- Publication Year :
- 2016
- Publisher :
- HAL CCSD, 2016.
-
Abstract
- The HADES data from p + Nb collisions at a center-of-mass energy of √sNN = 3.2 GeV are analyzed employing a statistical hadronization model. The model can successfully describe the production yields of the identified hadrons π0, η, Ʌ, K0 s, ω with parameters Tchem = (99 ± 11) MeV and μb = (619 ± 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 √SNN = 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 Ξ- 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. © 2016, SIF, Springer-Verlag Berlin Heidelberg. 52 6 Cited By :6
- Subjects :
- Physics
Nuclear reaction
Particle physics
Nuclear and High Energy Physics
Meson
[PHYS.NUCL]Physics [physics]/Nuclear Theory [nucl-th]
010308 nuclear & particles physics
Branching fraction
Hadron
Hyperon
Elementary particle
[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]
01 natural sciences
Hadronization
Nuclear physics
Baryon
0103 physical sciences
[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]
010306 general physics
Nuclear Experiment
Subjects
Details
- Language :
- English
- ISSN :
- 14346001 and 1434601X
- Database :
- OpenAIRE
- Journal :
- European Physical Journal A, European Physical Journal A, EDP Sciences, 2016, 52 (6), pp.178. ⟨10.1140/epja/i2016-16178-x⟩, Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos), Agência para a Sociedade do Conhecimento (UMIC)-FCT-Sociedade da Informação, instacron:RCAAP, Eur.Phys.J.A
- Accession number :
- edsair.doi.dedup.....20307ce37859bf6d83b1668d89209a75