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The role of local and global strangeness neutrality at the inhomogeneous freeze-out in relativistic heavy ion collisions

Abstract

The decoupling surface in relativistic heavy-ion collisions may not be homogeneous. Rather, inhomogeneities should form when a rapid transition from high to low entropy density occurs. We analyze the hadron "chemistry" from high-energy heavy-ion reactions for the presence of such density inhomogeneities. We show that due to the non-linear dependence of the particle densities on the temperature and baryon-chemical potential such inhomogeneities should be visible even in the integrated, inclusive abundances. We analyze experimental data from Pb+Pb collisions at CERN-SPS and Au+Au collisions at BNL-RHIC to determine the amplitude of inhomogeneities and the role of local and global strangeness neutrality.

Chemical freeze-out in heavy ion collisions; Particle ratios; Inhomogeneous freeze-out surface


a19v373a

The role of local and global strangeness neutrality at the inhomogeneous freeze-out in relativistic heavy ion collisions

Detlef Zschiesche; Licinio Portugal

Instituto de Física, Universidade Federal do Rio de Janeiro C.P. 68528, Rio de Janeiro, RJ 21941-972, Brazil

ABSTRACT

The decoupling surface in relativistic heavy-ion collisions may not be homogeneous. Rather, inhomogeneities should form when a rapid transition from high to low entropy density occurs. We analyze the hadron "chemistry" from high-energy heavy-ion reactions for the presence of such density inhomogeneities. We show that due to the non-linear dependence of the particle densities on the temperature and baryon-chemical potential such inhomogeneities should be visible even in the integrated, inclusive abundances. We analyze experimental data from Pb+Pb collisions at CERN-SPS and Au+Au collisions at BNL-RHIC to determine the amplitude of inhomogeneities and the role of local and global strangeness neutrality.

Key words: Chemical freeze-out in heavy ion collisions; Particle ratios; Inhomogeneous freeze-out surface

I. INTRODUCTION

In relativistic collisions of heavy nuclei very hot and baryon dense QCD matter is produced [1]. In particular, it is expected that at sufficiently high energies, a transient state of deconfined matter with broken Z(3) center symmetry and/or with (approximately) restored chiral symmetry is present. Lattice QCD simulations [2] indicate that a second-order critical point exists, which was predicted by effective chiral Lagrangians [3]; present estimates locate it at T » 160 MeV, µB» 360 MeV. This point, where the s-field is massless, is commonly assumed to be the endpoint of a line of first-order phase transitions in the (µB,T) plane. To detect that endpoint, it is hoped that by varying the beam energy, for example, one can "switch" between the regimes of first-order phase transition and cross over, respectively. If the particles decouple shortly after the expansion trajectory crosses the line of first order transitions one may expect a rather inhomogeneous (energy-) density distribution on the freeze-out surface [4,5] (similar, say, to the CMB photon decoupling surface observed by WMAP [6]). On the other hand, if the low-temperature and high-temperature regimes are smoothly connected, pressure gradients tend to wash out density inhomogeneities. Similarly, in the absence of phase-transition induced non-equilibrium effects, the predicted initial-state density inhomogeneities [7,8] should be strongly damped.

Thus, we investigate the properties of an inhomogeneous fireball at (chemical) decoupling. Note that if the scale of these inhomogeneities is much smaller than the decoupling volume then they can not be resolved individually, nor will they give rise to large event-by-event fluctuations. Because of the nonlinear dependence of the hadron densities on T and µB, they should nevertheless reflect in the average abundances.

Our basic assumption is that as the fireball expands and cools, at some stage the abundances of hadrons "freeze", keeping memory of the last instant of chemical equilibrium. This stage is referred to as chemical freeze-out. By definition, only processes that conserve particle number for each species individually, or decays of unstable particles may occur later on. The simplest model is to treat the gas of hadrons within the grand canonical ensemble, assuming a homogeneous decoupling volume. The abundances are then determined by two parameters, the temperature T and the baryonic chemical potential µB; the chemical potential for strangeness is fixed by the condition for overall strangeness neutrality. Fits of hadronic ratios were performed extensively [9,10] within this model, sometimes also including a strangeness (gs) or light quark (gq) suppression factor [11,12] or interactions with the chiral condensate [13].

In [14] we analyzed the experimental data on relative abundances of hadrons with respect to the presence of inhomogeneities on the decoupling surface. To that end we proposed a very simple and rather schematic extension of the common grand canonical freeze-out model, i.e. a superposition of such ensembles with different temperatures and baryon-chemical potentials. Each ensemble is supposed to describe the local freeze-out on the scale of the correlation length ~ 1/T ~ 1-2 fm. Even if freeze-out occurs near the critical point, the correlation length of the chiral condensate is bound from above by finite size and finite time effects, effectively resulting in similar numbers [15]. On the other hand, for small chemical potential, far from the region where the s-field is critical, the relevant scale might be set by the correlation length for Polyakov loops, which is of comparable magnitude [16]. Classical nucleation theory for strong first-order phase transitions predicts even larger "bubbles" [17] but is unlikely to apply to small, rapidly expanding systems encountered in heavy-ion collisions [5,18]. Another (classical) model for the formation of small droplets in rapidly expanding QCD matter has been introduced in [19]. The entire decoupling surface contains many such "domains", even if a cut on mid-rapidity is performed. We therefore expect that the distributions of temperature and chemical potential are approximately Gaussian [20]. Besides simplicity, another goal of the present analysis is to avoid reference to a particular dynamical model for the formation or for the distribution of density perturbations. In fact, we presently aim merely at checking whether any statistically significant signal for the presence of inhomogeneities is found in the data. If so, more sophisticated dynamical models could be employed in the future to understand the evolution of inhomogeneities from their possible formation in a phase transition until decoupling.

Rate equations for nuclear fusion and dissociation processes (and neutron diffusion) have been used for inhomogeneous big bang nucleosynthesis in the early universe [21]. Similarly, hadronic cascade models could be used for heavy-ion reactions [22]. This would remove reference to the grand-canonical ensemble and to a thin decoupling surface in space-time. In fact, hadronic binary rescattering models do predict a rather thick freeze-out layer [22,23], where matter expands non-ideally. On the other hand, the steep drop of multi-particle collision rates with temperature should narrow the freeze-out again [24]. In either case, we do not expect a strong energy dependence of the width of freeze-out (see also [25]).

At chemical freeze-out, matter is in a state of expansion. However, such flow effects do not affect the relative abundances of the particles (in full phase space) if their densities are homogeneous throughout the decoupling volume. The total number of particles of species i, integrated over a solid angle of 4p, is given by an integral of the current = rium, with uµ the four-velocity of the expanding fluid, over a given freeze-out hypersurface sm = (tfo,fo):

The second factor on the r.h.s. is nothing but the three-volume V3 of the decoupling hypersurface as seen by the observer. This volume is common to all species and drops out of multiplicity ratios: Ni/Nj = . It is clear that the argument holds even when cuts in momentum space are performed, provided that the differential distributions of all particles do not depend on that particular momentum-space variable (for example, rapidity cuts for boost invariant expansion [26]).

When the intensive variables T and µB vary, then the integration measure (òu · ds)/V3 will, in general, depend on the assumed distribution and amplitude of inhomogeneities, as well as on the hydrodynamic flow profile etc. Nevertheless, it is still the same for all particle species and so can be written in the form

with P(T, µB) some distribution for T and µB. For simplicity, and for lack of an obvious motivation for assuming otherwise, we shall take P(T, µB) to factorize into a distribution for T, times one for µB. These distributions could, in principle, be obtained from the real-time evolution of the phase transition [4,5].

II. THE MODEL

In [14] we introduced our model to analyze the available data from heavy-ion collisions at CERN-SPS and BNL-RHIC. There the hadron abundances are determined by four parameters: the arithmetic means of the temperatures and chemical potentials of all domains, and B, and the widths of their Gaussian distributions, dT and dmB. Of course, the densities of strange particles depend also on the strangeness-chemical potential µS, which we determined in [14] by imposing local strangeness neutrality. That means, the strange chemical potential in each single domain was fixed by demanding zero net strangeness there. However, the effect of independent fluctuations of µS should also be looked at, in particular for collisions at low and intermediate energies (ÖsNN 15 GeV). This may help for example to reproduce the to ratio, which was found to be larger than one [28] and the K+/p+ enhancement around = 7.6 GeV [29]. Allowing for such independent fluctuations, the hadron abundances depend on six parameters: the arithmetic means of the temperatures and chemical potentials of all domains, , B and S, and the widths of their Gaussian distributions, dT, dmB and dmS. They read:

with ri(T, µB, µS) the actual "local" density of species i, and with P(x; , dx) ~ exp[-(x-)2/2 dx2 ] the distribution of temperatures and chemical potentials within the decoupling three-volume (the proportionality constants normalize the distributions over the intervals where they are defined). In addition, strangeness conservation enters now as a global constraint for the mean of the strange chemical potential S:

with fs the net-strangeness, the number of strange and anti-strange quarks of hadron species i, respectively. That means, the global densities obtained for given values of temperature and chemical potential parameters weighted with the corresponding net number of strange quarks are summed and demanded to vanish to guarantee strangeness neutrality. In the limit dT, dmB, dmS ® 0 the Gaussian distributions are replaced by d-functions and the conventional homogeneous freeze-out scenario is recovered:

and the corresponding strangeness neutrality condition fixing

S. In other words, in that limit the average densities are uniquely determined by the first moments of the distribution functions P(T; , dT) and PB; B, dmB). For the present investigation, we set the width of the distribution for the strange chemical potential equal to zero, dmS = 0. Since eq.(4) only ensures global strangeness neutrality, in this limit still finite net strangeness values in individual domains will appear, in contrast to our former analysis, where we fixed µS by fs = 0 locally. It is important to note that with setting dmS = 0 and the global constraint eq. 4 for S, the densities again are a function of four parameters: , B, dT and dmB. Thus we will write all quantities again as a function of these four parameters only. In the following we will investigate how the fits to the experimentally measured particle abundances are influenced by the different strangeness neutrality conditions [31].

For the present analysis we compute the densities ri (T, µB) in the ideal gas approximation, supplemented by an "excluded volume" correction:

This schematic correction models repulsive interactions among the hadrons at high densities. Here, vi denotes the volume occupied by a hadron of species i; we employ v = pR03 with R0 = 0.3 fm for all species [27]. Therefore, for the homogeneous model the denominator in (6) drops out of multiplicity ratios. This is not the case for an inhomogeneous decoupling surface, where the distributions of various species differ. For all fits over the full solid angle, we fixed the isospin chemical potential by equating the total charge in the initial and final states; for the mid-rapidity fits at high energies, we fixed µI = 0.

To illustrate the effect of inhomogeneities on the distributions of various hadrons within the decoupling volume we introduce

Di(T), for example, is the probability that a particle of type i was emitted from a domain of temperature T. The main contribution to the integrals in (3) is not from and B since hot spots shine brighter than "voids". Rather, they are dominated by the stationary points of the distributions defined in eqs. (7,8) above. Hence, the average emission temperature áTñi and baryon-chemical potential ámBñi in general depend on the particle species i, unless dT = dmB = 0. They can be evaluated as

Physically, this means that for non-zero widths of the temperature and chemical potential distributions the freeze-out volume is not perfectly "stirred", in that the relative concentrations of the particles vary.

III. DATA ANALYSIS

To determine the four parameters of the model we minimize

in the space of , B, dT, and dmB. That is, we obtain least-square estimates for the parameters, assuming that they are independent. In (10), and denote the experimentally measured and the calculated particle ratios, respectively, and is set by the uncertainty of the measurement. Wherever available, we sum systematic and statistical errors in quadrature.

The data used in our analysis are the particle multiplicities measured by the NA49 collaboration for central Pb+Pb collisions at = 6.3, 7.6, 8.8, 12.3 and 17.3 GeV [29], and those measured by STAR for central Au+Au collisions at BNL-RHIC, ref. [30] (ÖsNN = 130 GeV, compiled in [32]) and ref. [33] (200 GeV). At RHIC energies, we analyze the midrapidity data; at top SPS energy, both, midrapidity and 4p data. At all other energies, we restrict ourselves to the 4p solid angle data by NA49 in order to avoid biases arising from differing acceptance windows of various experiments. Furthermore, our checks showed that the fit results can depend somewhat on the actual selection of experimental ratios. Hence, where possible, we have opted for the least bias by choosing , i.e. the multiplicity of species i relative to that of pions. This represents the maximal set of independent data points, as it is equivalent to fitting absolute multiplicities with an additional overall three-volume parameter, Ni = V3ri.

Specifically, at = 6.3, 7.6, and 12.3 GeV the multiplicities of p+, p-, K+, K-, B-, L, , and f are available. For the (in-)homogeneous model, this leaves five (three) degrees of freedom. At = 8.8 GeV, we can add the X- and W+. The data sets for top SPS energies include yet a few more species: p, (only midrapidity), (only 4p), + and W, separately. For RHIC-130, we fitted to the K+/K-, /p, /L, X+/X-, /W, K-/p-, /p-, /p-, L/p-, /p-, f/p-, X-/p- and W/p- ratios. Finally, at RHIC-200 the K+/K-, /p, /W, K-/p-, /p-, L/p-, /p-, X-/p-, X+/p-, W/p-, f/K- and /K- ratios were used. The first three ratios are close to unity and essentially just set the chemical potentials to zero; they do not help to fix , dT and dmB.

Where appropriate, feeding from strong and electromagnetic decays has been included in by replacing ri ® ri + Bij rj. The implicit sum over j ¹ i runs over all unstable hadron species, with Bij the branching ratio for the decay j ® i, which were taken from [34]. From all the resonances listed by the Particle Data Group [34], mesons up to a mass of 1.5 GeV and baryons up to a mass of 2 GeV were included, respectively. The finite widths of the resonances were not taken into account, and unknown branching ratios were excluded from the feeding. These details are irrelevant for the qualitative behavior of dT and dmB but do, of course, matter for quantitative results.

IV. RESULTS

Fig. 1 shows the minimal c2 per degree of freedom (taken as the number of data points minus the number of parameters) for the homogeneous approach and the inhomogeneous approach with local or global strangeness neutrality, respectively. Note that the c2-values for the homogeneous model are in general agreement with the analysis done in [9] and other data from the literature [10,11,33]. As already shown in [14] and in general accordance with the analysis done in [9], for energies, ~ 7.6-17.3 GeV, c2/dof is considerably smaller for the inhomogeneous freeze-out surface than for the homogeneous case, which is far outside the 95.4% confidence interval [35]. At = 6.3 GeV and at RHIC energies, c2/dof is similar for the inhomogeneous approach with local strangeness neutrality and the homogenous model. However, between = 6.3 and 12.3 GeV the c2/dof values for the inhomogeneous approach with local strangeness neutrality are rather large (between 2 and 4). In contrast, the inhomogeneous model with global strangeness neutrality gives c2/dof » 1 for = 6.3 - 17.3 GeV. It is important to note that this result is not due to introducing an additional parameter, but just due to allowing for domains of finite strangeness with global strangeness neutrality! The calculations using global strangeness conservation for RHIC energies are under way, but due to the corresponding small baryon chemical potentials at these high energies no considerable effect should be expected. Thus, the inhomogeneous model allowing for domains of finite net strangeness gives a very satisfactory description (c2/dof » 1) of the experimental data for particle abundance ratios from lowest SPS energies up to highest RHIC energies. However, at RHIC the homogeneous approach already gives a good description of the data and the inhomogeneous model does not provide a statistically significant improvement. Thus, the assumption of a nearly homogeneous decoupling surface can not be rejected there. On the other hand, the considerable improvement of the description of the data for ~ 7.6-17.3 GeV indicates that at intermediate and high SPS energies, the experimental data favor an inhomogeneous freeze-out surface. For the SPS = 6.3 GeV data the situation is not clear: there is certainly a reduction of the c2/dof in the inhomogeneous approach, but also the homogeneous model gives a much better value than for higher SPS energies. Here more experimental data are necessary to clarify the picture. It is worth noting that in general, the improvement due to the inhomogeneous decoupling surface is not driven by one single species; rather, the inhomogeneous model describes nearly all multiplicities better than a homogeneous decoupling surface [36].


To illustrate the significance of inhomogeneities differently, we show contours of c2/dof in the plane of dT, dmB in Figs. 2, 3 and 4. Here, and B were allowed to vary freely such as to minimize c2 at each point. Fig. 2 shows that at RHIC energy, c2 is very flat in both directions. This shows again that with the present data points, a homogeneous freeze-out model appears to be a reasonable approximation at high energies. In contrast, Fig. 3 shows that c2 is relatively flat along the dmB direction, while dT is determined more accurately and is clearly non-zero. In general we find that in the approach with local strangeness neutrality there is little correlation between dT and dmB and that about the minimum, c2 is rather flat in dmB direction for all energies. Finally, Fig. 3 shows the contours at SPS = 17.3 GeV for the case of global strangeness neutrality. Now, the c2 determines the dmB more accurately, favoring relatively large finite values. For dT, again, values different from zero are strongly favored, which, however, turn out to be generally a little bit smaller than in the local fs = 0 case. The better description of the data and the better accuracy in determining the width of the µB-distribution can be explained as follows: If vanishing net strangeness is demanded in each single domain, in regions with high baryon chemical potential the strange chemical potential has to be small to guarantee fs = 0. Thus, the possible increased production of strange particles in domains with high baryon chemical potential is restricted and results in the shown flatness of the c2 distribution in dmB direction. In contrast, if the net strangeness vanishes globally, in domains of high chemical potential resulting from a large width dmB, a large number of strange particles can be produced. Thus, the c2 should be much more sensitive to the value of dmB.




As already discussed above, an inhomogeneous freeze-out surface or finite values for the width-parameters result in different mean emission temperatures and chemical potentials for different particle species, c.f. eq. 9. These are shown in Fig. 5 for the case of local strangeness neutrality and in Fig. 6 for the case of global strangeness neutrality at selected energies in the CERN-SPS range. For the cases shown, the inhomogeneities determined from the fits to the particle abundances are large. Note that the different values for these mean emission temperatures and chemical potentials result from the convolution of the distribution function for a given particle species with the Gaussian probability distribution determined by the four parameters , , dT, dmB. For both cases, the effect of the inhomogeneities is evident. For example, anti-protons are typically emitted from regions with lower baryon-chemical potential than protons; also, heavy particles are concentrated in "hot spots" while light pions are distributed more evenly throughout the decoupling volume etc. [37]. Figures 5 and 6 also show the differences in the resulting mean emission temperatures and chemical potentials, depending on whether local or global strangeness neutrality is adopted: In the case of local strangeness neutrality, the emission chemical potentials of baryons and the corresponding anti-baryons do differ much less than in the case of globally vanishing net-strangeness. For example the mean emission baryon chemical potential for the W and the are nearly identical for fs = 0 locally, while they are widely separated for the global constraint. This results from the above discussed effect of the adjustment of the strange chemical potential in the local case. There, µS is so small (large negative value) in regions with large µB, that the resulting chemical potential of W and are similar. This is not the case anymore if the strange chemical potential is determined globally and constant for the different domains. Then, the mean freeze-out points for the different particle species are spread over a much wider range in the T - µB -plane. On the other hand, the spread in temperature is somewhat larger in the local case than for global strangeness neutrality, resulting from the larger best fit values for the width parameters dT.



V. SUMMARY AND OUTLOOK

In summary, we have shown that inhomogeneities on the freeze-out hypersurface do not average out but reflect in the 4p (or midrapidity), single-inclusive abundances of various particle species. This is due to the non-linear dependence of the hadron densities ri(T, µB) on the local temperature and baryon-chemical potential. Consequently, even the average i probe higher moments of the T and µB distributions. In [14] we showed that an inhomogeneous freeze-out model with local strangeness conservation strongly improves the description of the data at medium and top SPS energies compared to the homogeneous freeze-out. Here we showed that inducing global strangeness neutrality, results, without adding an additional parameter, in a further reduction of the c2 at SPS energies. With the resulting c/dof » 1 for the whole range - from lowest SPS to highest RHIC energies. Furthermore, while for local strangeness neutrality we observed a rather flat c2/dof in dmB direction, this is determined more accurately if strangeness neutrality is ensured only globally. Rather in this approach a high statistical significance for a finite width of the distributions for temperature and baryon chemical potential at medium and high SPS energies is observed. In addition we showed how in this region the mean emission temperature and chemical potential vary for different particle species. Our results also show that there are some characteristic differences in the distribution of the resulting mean emission values, depending on whether strangeness neutrality is fulfilled locally or globally. Especially the separation in the mean emission chemical potential between baryons and the corresponding anti-baryons is strongly influenced by the adopted strangeness neutrality condition.

Inhomogeneities could also affect the coalescence probabilities of (anti-) nucleons to light (anti-) nuclei, which are also sensitive to density perturbations [39]. Other signals, such as two-particle correlations [8,40], could also be analyzed in this regard. Future studies should shed more light on whether these inhomogeneities can indeed be interpreted as fingerprints of a first-order phase transition. Eventually, one would want to establish more quantitative relations between the amplitudes of the T, µB inhomogeneities and the properties of the phase transition, e.g. its latent heat and interface tension.

Data from GSI-FAIR, the low energy program at RHIC and and CERN-LHC will provide additional constraints for the evolution of chemical freeze-out with energy.

To improve the quality of the statistical fits, more data on hadron multiplicities would be helpful, in particular at the lower end of the CERN-SPS energy spectrum and at RHIC. This includes estimates of multiplicities of unstable resonances (r, K*, w, D ...) at chemical freeze-out [41]. Data from GSI-FAIR and CERN-LHC will provide additional constraints for the evolution of chemical freeze-out with energy.

Acknowledgements

We thank A. Dumitru for cooperating in this work, C. Greiner for fruitful remarks concerning the model, C. Blume and M. Gazdzicki for helpful discussions about the NA49 data and A. Grunfeld for helping with the construction of the resonance table, CAPES and CNPq for partial support and the organizers of the 'II Workshop on Particle Correlations and Femtoscopy' (WPCF 2006), September 9-11, 2006, São Paulo, Brazil, where this work was presented.

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[29] M. Gazdzicki et al. [NA49 Collaboration], J. Phys. G 30, S701 (2004) [arXiv:nucl-ex/0403023]; A. Richard [NA49 Collaboration], J. Phys. G 31, S155 (2005); C. Blume [NA49 Collaboration], J. Phys. G 31, S685 (2005) [arXiv:nucl-ex/0411039]; C. Alt et al. [The NA49 Collaboration], J. Phys. G 30, S119 (2004) [arXiv:nucl-ex/0305017]; S. V. Afanasiev et al. [The NA49 Collaboration], Phys. Rev. C 66, 054902 (2002) [arXiv:nucl-ex/0205002]; T. Anticic et al., Phys. Rev. C 69, 024902 (2004); S. V. Afanasiev et al., Nucl. Phys. A 715, 161 (2003) [arXiv:nucl-ex/0208014]; T. Anticic et al. [NA49 Collaboration], Phys. Rev. Lett. 93, 022302 (2004) [arXiv:nucl-ex/0311024]; C. Meurer [NA49 Collaboration], J. Phys. G 30, S1325 (2004) [arXiv:nucl-ex/0406016]; M. Mitrovski [NA49 Collaboration], arXiv:nucl-ex/0406011; C. Alt et al. [NA49 Collaboration], Phys. Rev. Lett. 94, 192301 (2005) [arXiv:nucl-ex/0409004]; S. V. Afanasev et al. [NA49 Collaboration], Phys. Lett. B 491, 59 (2000); A. Mischke et al., Nucl. Phys. A 715, 453 (2003) [arXiv:nucl-ex/0209002]; V. Friese [NA49 Collaboration], Nucl. Phys. A 698, 487 (2002); S. V. Afanasiev et al. [NA49 Collaboration], Phys. Lett. B 538, 275 (2002) [arXiv:hep-ex/0202037]; S. V. Afanasiev et al. [NA49 Collaboration], Phys. Lett. B 538, 275 (2002) [arXiv:hep-ex/0202037].

[30] J. Adams et al. [STAR Collaboration], arXiv:nucl-ex/0311017; M. Calderon de la Barca Sanchez, arXiv:nucl-ex/0111004; C. Adler et al. [STAR Collaboration], Phys. Rev. Lett. 89, 092301 (2002) [arXiv:nucl-ex/0203016]; C. Adler et al. [STAR Collaboration], Phys. Lett. B 595, 143 (2004) [arXiv:nucl-ex/0206008]; C. Adler et al. [STAR Collaboration], Phys. Rev. C 66, 061901 (2002) [arXiv:nucl-ex/0205015]; C. Adler et al. [STAR Collaboration], Phys. Rev. Lett. 87, 262302 (2001) [arXiv:nucl-ex/0110009]; C. Adler et al. [the STAR Collaboration], Phys. Rev. Lett. 86, 4778 (2001) [Erratum-ibid. 90, 119903 (2003)] [arXiv:nucl-ex/0104022]; C. Adler et al., Phys. Rev. C 65, 041901 (2002). J. Castillo [STAR Collaboration], Nucl. Phys. A 715, 518 (2003) [arXiv:nucl-ex/0210032]; J. Adams et al. [STAR Collaboration], Phys. Rev. Lett. 92, 182301 (2004) [arXiv:nucl-ex/0307024]; J. Adams et al. [STAR Collaboration], Phys. Lett. B 567, 167 (2003) [arXiv:nucl-ex/0211024]; C. Suire [STAR Collaboration], Nucl. Phys. A 715, 470 (2003) [arXiv:nucl-ex/0211017].

[31] Calculations for finite values of dmS = 0 are under way. However, checking the influence of global strangeness conservation without adding an additional parameter represents the first step to be taken in this direction.

[32] J. Cleymans, B. Kämpfer, M. Kaneta, S. Wheaton, and N. Xu, Phys. Rev. C 71, 054901 (2005).

[33] O. Barannikova [STAR Collaboration], arXiv:nucl-ex/0403014; J. Adams et al. [STAR Collaboration], arXiv:nucl-ex/0501009; J. Adams et al. [STAR Collaboration], Phys. Rev. Lett. 92, 112301 (2004) [arXiv:nucl-ex/0310004];

[34] S. Eidelman et al. [Particle Data Group Collaboration], Phys. Lett. B 592, 1 (2004).

[35] for SPS ÖsNN = 17.3 GeV only the 4p fit is shown; restricting the homogeneous fit to the mid-rapidity data gives smaller c2/dof, but still significantly higher than in the inhomogeneous approach. c2 is smaller if other particle ratios are considered, as for example X/L, W/X instead of X/p, W/p [9] or if finite widths of resonances are taken into account [12]. However, the increase of c2 at SPS energies is generic if Na49 4p-data are fitted.

[36] D. Zschiesche, arXiv:nucl-th/0505054, Fig. 7.

[37] Note that the rather high temperatures of the hot spots from which the heavy particles emerge might indicate the need for a better treatment of interactions [13] than the simple excluded-volume model employed here.

[38] E. V. Shuryak and M. A. Stephanov, Phys. Rev. C 63, 064903 (2001); M. Abdel-Aziz and S. Gavin, Phys. Rev. C 70, 034905 (2004).

[39] see e.g. eq. (30) in B. L. Ioffe, I. A. Shushpanov, and K. N. Zyablyuk, Int. J. Mod. Phys. E 13, 1157 (2004);

[40] H. Heiselberg and A. D. Jackson, arXiv:nucl-th/9809013; S. J. Lindanbaum, R. S. Longacre, and M. Kramer, arXiv:nucl-th/0304082; W. N. Zhang, S. X. Li, C. Y. Wong, and M. J. Efaaf, Phys. Rev. C 71, 064908 (2005).

[41] C. Markert, J. Phys. G 31, S169 (2005).

[42] C. Beck, Phys. Rev. Lett. 87, 180601 (2001); C. Beck and E. G. D. Cohen, Physica A 322, 267 (2003); H. Touchette and C. Beck, Phys. Rev. E 71, 016131 (2005).

Received on 24 November, 2006

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Publication Dates

  • Publication in this collection
    24 Sept 2007
  • Date of issue
    Sept 2007

History

  • Received
    24 Nov 2006
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