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

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

HADES

Collaboration

Dec 22, 2015

8 pages

Published in:

Eur.Phys.J.A 52 (2016) 6, 178

Published: Jun 28, 2016

e-Print:

1512.07070 [nucl-ex]

DOI:

10.1140/epja/i2016-16178-x

Experiments:

GSI-HADES

View in:

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Abstract: (Springer)

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

^{0s}

,

\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.

hadronization
multiplicity
temperature
freeze-out: kinetic
strangeness: suppression
quantum number
Phi(1020)
K*(892)0
Xi-
baryon resonance

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