3,716 research outputs found

    Statistical Model and the mesonic-baryonic transition region

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    The statistical model assuming chemical equilibriumand local strangeness conservation describes most of the observed features of strange particle production from SIS up to RHIC. Deviations are found as the maximum in the measured K+/pi+ ratio is much sharper than in the model calculations. At the incident energy of the maximum, the statistical model shows that freeze out changes regime from one being dominated by baryons at the lower energies toward one being dominated by mesons. It will be shown how deviations from the usual freeze-out curve influence the various particle ratios. Furthermore, other observables exhibit also changes just in this energy regime.Comment: 9 pages, 7 figures, CPOD conference proceeding

    Density fluctuations and a first-order chiral phase transition in non-equilibrium

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    The thermodynamics of a first-order chiral phase transition is considered in the presence of spinodal phase separation using the Nambu-Jona-Lasinio model in the mean field approximation. We focus on the behavior of conserved charge fluctuations. We show that in non-equilibrium the specific heat and charge susceptibilities diverge as the system crosses the isothermal spinodal lines.Comment: 4 pages, 1 figure, to appear in the proceedings of Chiral07, November 13-16 2007, Osaka, Japa

    Statistical Model Predictions for p+p and Pb+Pb Collisions at LHC

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    Particle production in p+p and central Pb+Pb collisions at LHC is discussed in the context of the statistical thermal model. For heavy-ion collisions, predictions of various particle ratios are presented. The sensitivity of several ratios on the temperature and the baryon chemical potential is studied in detail, and some of them, which are particularly appropriate to determine the chemical freeze-out point experimentally, are indicated. Considering elementary interactions on the other hand, we focus on strangeness production and its possible suppression. Extrapolating the thermal parameters to LHC energy, we present predictions of the statistical model for particle yields in p+p collisions. We quantify the strangeness suppression by the correlation volume parameter and discuss its influence on particle production. We propose observables that can provide deeper insight into the mechanism of strangeness production and suppression at LHC.Comment: 7 pages, 5 figures, conference contribution to "International school of nuclear physics", Erice, Sicily, 16 - 24 September 2008; Progress in Particle and Nuclear Physics, 2009, in pres

    Thermodynamic limit and semi--intensive quantities

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    The properties of statistical ensembles with abelian charges close to the thermodynamic limit are discussed. The finite volume corrections to the probability distributions and particle density moments are calculated. Results are obtained for statistical ensembles with both exact and average charge conservation. A new class of variables (semi--intensive variables) which differ in the thermodynamic limit depending on how charge conservation is implemented in the system is introduced. The thermodynamic limit behavior of these variables is calculated through the next to leading order finite volume corrections to the corresponding probability density distributions.Comment: 11 pages, 2 figures In v2 figures are added and corresponding editorial changes are done. Paper will be published in Journal of Physics

    Remarks on combinatorial aspects of the KP Equation

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    Accepted for publication: AIP Conference Proceedings, 2nd International Workshop on Nonlinear and Modern Mathematical Physics, March 9-11, 2013. v2: Several clarifications made, references added, typos corrected; 16 pages, 1 figureAccepted for publication: AIP Conference Proceedings, 2nd International Workshop on Nonlinear and Modern Mathematical Physics, March 9-11, 2013. v2: Several clarifications made, references added, typos corrected; 16 pages, 1 figureAccepted for publication: AIP Conference Proceedings, 2nd International Workshop on Nonlinear and Modern Mathematical Physics, March 9-11, 2013. v2: Several clarifications made, references added, typos corrected; 16 pages, 1 figureAccepted for publication: AIP Conference Proceedings, 2nd International Workshop on Nonlinear and Modern Mathematical Physics, March 9-11, 2013. v2: Several clarifications made, references added, typos corrected; 16 pages, 1 figureNSF through grant DMS-0807705; AR is supported by the NSF under grant DMS-100438

    Statistical Model Predictions for Pb-Pb Collisions at LHC

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    The systematics of Statistical Model parameters extracted from heavy-ion collisions at lower energies are exploited to extrapolate in the LHC regime. Predictions of various particle ratios are presented and particle production in central Pb-Pb collisions at LHC is discussed in the context of the Statistical Model. The sensitivity of several ratios on the temperature and the baryon chemical potential is studied in detail, and some of them, which are particularly appropriate to determine the chemical freeze-out point experimentally, are indicated. The impact of feed-down contributions from resonances, especially to light hadrons, is illustrated.Comment: 5 pages, 2 figures, 1 table, SQM 2006 conference proceedings, accepted for publication in J. Phys.

    Statistical Model Predictions for Particle Ratios at sqrt(s_NN) = 5.5 TeV

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    Particle production in central Pb-Pb collisions at LHC is discussed in the context of the Statistical Model. Predictions of various particle ratios are presented with the corresponding choice of model parameters made according to the systematics extracted from heavy-ion collisions at lower energies. The sensitivity of several ratios on the temperature and the baryon chemical potential is studied in detail, and some of them, which are particularly appropriate to determine the chemical freeze-out point experimentally, are indicated. We show that the anti-p / p ratio is most suitable to determine the baryon chemical potential while the Omega / K and Omega / pi ratios are best to determine the temperature at chemical freeze-out.Comment: Submitted to Phys. Rev. C, 7 pages, 4 figure
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