Indications for a critical point in the phase diagram for hot and dense nuclear matter

Indications for a critical point in the phase diagram for hot and dense nuclear matter


Two-pion interferometry measurements are studied for a broad range of collision centralities in Au+Au ( GeV) and Pb+Pb ( TeV) collisions. They indicate non-monotonic excitation functions for the Gaussian emission source radii difference (), suggestive of reaction trajectories which spend a fair amount of time near a “soft point’’ in the equation of state (EOS) that coincides with the critical end point (CEP). A Finite-Size Scaling (FSS) analysis of these excitation functions, provides further validation tests for the CEP. It also indicates a second order phase transition at the CEP, and the values  MeV and  MeV for its location in the ()-plane of the phase diagram. The static critical exponents ( and ) extracted via the same FSS analysis, place this CEP in the 3D Ising model (static) universality class. A Dynamic Finite-Size Scaling analysis of the excitation functions, gives the estimate for the dynamic critical exponent, suggesting that the associated critical expansion dynamics is dominated by the hydrodynamic sound mode.

critical point, phase transition, static critical exponents, dynamic critical exponent

00 \journalnameNuclear Physics A \runauthRoy A. Lacey \jidnupha \jnltitlelogoNuclear Physics A


1 Introduction

A major goal of the worldwide program in relativistic heavy ion research, is to chart the phase diagram for nuclear matter Itoh:1970 (); Shuryak:1983zb (); Asakawa:1989bq (); Stephanov:1998dy (). Pinpointing the location of the phase boundaries and the critical end point (CEP), in the plane of temperature () versus baryon chemical potential (), is key to this mapping. Full characterization of the CEP not only requires its location, but also the static and dynamic critical exponents which classify its critical dynamics and thermodynamics, and the order of the associated phase transition.

Current theoretical guidance indicates that the CEP belongs to the 3D-Ising [or Z(2)] static universality class with the associated critical exponents and Stephanov:1998dy (); exponents (). However, the predictions for its location span a broad swath of the ()-plane, and do not provide a consensus on its location Stephanov:1998dy (). A recent study which takes account of the non-linear couplings of the conserved densities Minami:2011un () suggests that the CEP’s critical dynamics may be controlled by three distinct slow modes, each characterized by a different value of the dynamic critical exponent ; a thermal mode (), viscous mode () and a sound mode (). The phenomena of critical slowing down results from . The predicted negative value for could have profound implications for the CEP search since it implies critical speeding-up for critical reaction dynamics involving only the sound mode. The present-day theoretical challenges emphasize the need for detailed experimental validation and characterization of the CEP.

2 Anatomy of the search strategy for the CEP

The critical point is characterized by several (power law) divergences linked to the divergence of the correlation length . Notable examples are the baryon number fluctuations , the isobaric heat capacity and the isothermal compressibility . Such divergences suggest that reaction trajectories which are close to the CEP, could drive anomalies in the reaction dynamics to give distinct non-monotonic patterns for the related experimental observables. Thus, a current experimental strategy is to carry out beam energy scans which enable a search for non-monotonic excitation functions over a broad domain of the ()-plane. In this work we use the non-monotonic excitation functions for HBT radii combinations that are sensitive to the divergence of the compressibility Lacey:2014wqa ().

The expansion of the pion emission source produced in heavy ion collisions, is driven by the sound speed , where is the density, is the isentropic compressibility and is the ratio of the isochoric and isobaric heat capacities.

Figure 1: (Color online) The  dependence of (a) ,and (b) [()/] Lacey:2014rxa (). Figure 2: Illustration of the Finite-Size () dependence of the peak position, width and magnitude of the susceptibility (see text).

Thus, an emitting source produced in the vicinity of the CEP, would be subject to a precipitous drop in the sound speed and the collateral increase in the emission duration Rischke:1996em (), which results from the divergence of the compressibility. The space-time information associated with these effects, are encoded in the Gaussian HBT radii which serve to characterize the emission source. That is, is related to the source lifetime , is sensitive to its emission duration  Csorgo:1995bi () (an intensive quantity) and [()/] gives an estimate for its expansion speed (for small values of ), where is an estimate of the initial transverse size, obtained via Monte Carlo Glauber model calculations Lacey:2014rxa (); Lacey:2014wqa (). Therefore, characteristic convex and concave shapes are to be expected for the non-monotonic excitation functions for and [()/] respectively.

These predicted patterns are validated in Figs. 1(a) and (b). They reenforce the connection between and the compressibility and suggest that reaction trajectories spend a fair amount of time near a “soft point’’ in the EOS that coincides with the CEP. We associate with the susceptibility and employ Finite-Size Scaling (FSS) for further validation tests, as well as to extract estimates for the location of the CEP and the critical exponents which characterize its static and dynamic properties.

Figure 3: (Color online) vs. for 0-5%, 5-10%, 10-20%, 30-40%, 40-50% and 50-60% Au+Au and Pb+Pb collisions for  GeV and 0.29 GeV respectively Lacey:2014wqa ().

3 Characterization of the CEP via Finite-Size Scaling

For infinite volume systems, diverges near . Since for a system of finite size ( is the dimension), only a pseudo-critical point, shifted from the genuine CEP, is observed. This leads to a characteristic set of Finite-Size Scaling (FSS) relations for the magnitude (), width () and peak position () of the susceptibility Lacey:2014wqa () as illustrated in Fig. 2; , and . It also leads to the scaling function , which results in data collapse onto a single curve.

These scaling relations indicate that even a flawless measurement can not give the precise location of the CEP if it is subject to Finite-Size Effects (FSE) (a crucial point which is often missed or ignored). However, they point to specific identifiable dependencies on size (L) which can be leveraged via FSS, to estimate the location of the CEP and its associated critical exponents Lacey:2014wqa ().

Such dependencies can be observed in Fig. 3 where a representative set of excitation functions, obtained for the broad selection of centrality cuts, are shown. They indicate that (i) the magnitude of the peaks decrease with increasing centrality (%) or decreasing transverse size, (ii) the positions of the peaks shift to lower values of with an increase in centrality and (iii) the width of the distributions grow with centrality. A Guassian fit was used to extract the peak positions, and widths of the excitation functions, for different system sizes characterized by the centrality selections indicated in Fig. 3; the magnitude of was evaluated at the extracted peak positions as well. A subsequent FSS analysis (with ), of these peak positions, widths and magnitudes was used to obtain estimates for the critical exponents and and the infinite volume value where the de-confinement phase transition first occurs; , and . is a constant and gives a measure of the “distance”’ to the CEP.

Figure 4 illustrates the FSS test made for the extracted peak positions (). The dashed curve in (b), which represents a fit to the data in (a), confirms the expected inverse power law dependence of these peaks on . The fit gives the values   GeV and . The same value for was obtained via an analysis of the widths. The estimate , was obtained from FSS of the the magnitudes of the excitation functions. The extracted values for the critical exponents indicate that the deconfinement phase transition at the CEP is second order, and places it in the 3D Ising model (static) universality class. The extracted value  GeV was used in conjunction with the parametrization for chemical freeze-out in Ref. Cleymans:2006qe (), to obtain the estimates  MeV and  MeV for its location in the ()-plane.

Figure 4: (Color online) (a) Peak position vs. . (b) Peak position vs. . The dashed curve in (b) shows the fit to the data in (a). Figure 5: (Color online) (a) vs. .(b) vs. .

A crucial crosscheck for the location of the CEP and its associated critical exponents, is to use the FSS function to demonstrate data collapse onto a single curve for the extracted values of , and the critical exponents and ; and where and are the reduced temperature and baryon chemical potential respectively. The efficacy of this crosscheck is illustrated in Fig. 5 where data collapse onto a single curve is indicated for the RHIC excitation functions shown in Fig. 3. Here, the parametrization for chemical freeze-out Cleymans:2006qe () was used in conjunction with and to determine the required and values from the values plotted in Fig. 3. Figs. 5(a) and (b) also validate the expected trends for reaction trajectories in the () domain which encompass the CEP. That is, the scaled values of peaks at and , and show the collateral fall-off for and .

The susceptibility diverges at the CEP, so relaxation of the order parameter could be anomalously slow, i.e. , where is the dynamic critical exponent. Such an anomaly can lead to significant attenuation of the signals associated with the CEP () for critical dynamics driven by the thermal () and viscous () slow modes, especially for the short-lived processes of interest. This phenomena of critical slowing down would switch to critical speeding up for critical dynamics driven by the sound mode (). Thus, a rudimentary knowledge of the magnitude and the sign of the dynamic critical exponent/s can significantly enhance experimental studies of the CEP. The Dynamic Finite Size scaling function can be expressed as; . For it simplifies to the expression which is observed to scale the data for and give the estimate . Here, is used as a proxy for .

In summary, we have investigated the centrality dependent excitation functions for the Gaussian emission source radii difference (), obtained from two-pion interferometry measurements in Au+Au ( GeV) and Pb+Pb ( TeV) collisions, to characterize the CEP. The observed centrality dependent non-monotonic excitation functions, validate characteristic finite-size scaling patterns that are consistent with a deconfinement phase transition and the critical end point. A Finite-Size Scaling analysis of these data indicates a second order phase transition at a CEP located at  MeV and  MeV in the ()-plane of the phase diagram. The critical exponents ( and ) extracted in the same FSS analysis, places the CEP in the 3D Ising model (static) universality class. An initial estimate of for the dynamic critical exponent is incompatible with the commonly assumed Model H dynamic universality class () assigned to critical expansion dynamics.


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