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

G Agakishiev, O Arnold, A Balanda, D Belver… - arXiv preprint arXiv …, 2015 - arxiv.org
G Agakishiev, O Arnold, A Balanda, D Belver, A Belyaev, JC Berger-Chen, A Blanco…
arXiv preprint arXiv:1512.07070, 2015arxiv.org
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}=(99\pm11) $ MeV and $\mu_
{b}=(619\pm34) $ 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 …
The HADES data from p+Nb collisions at center of mass energy of = 3.2 GeV are analyzed by employing a statistical model. Accounting for the identified hadrons , , , , allows a surprisingly good description of their abundances with parameters MeV and 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 = 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 excess present in both data samples.
arxiv.org