-
It is indicated by lattice quantum chromodynamics (QCD) calculations that a deconfined quark-gluon plasma (QGP) state of nuclear matter might exist at high enough temperature and density [1]. These extreme conditions are believed to be achievable in relativistic nucleus nucleus (AA) collisions, in which the QCD parton degrees of freedom are released from the nucleons and interact with each other creating the thermalized QGP medium. The deconfined parton matter expands rapidly under the thermal pressure against the surrounding vacuum until the temperature of the system drops below the point at which the partons are converted to hadrons, developing substantial expansion flow in the parton evolution stage [2]. After further rescatterings between the produced hadronic objects for a while, the system becomes so dilute that all particle interactions are ceased [3]. The evolving information of the medium usually described by relativistic fluid hydrodynamics [4, 5] is thus encoded in the momentum distributions of the final state particles. The transverse momentum (
pT ) spectra of identified hadrons can be utilized to extract the system properties even in the early stage of evolution within the Blast-Wave global analysis framework [6, 7]. In the Blast-Wave model, particle spectra are obtained within a hydrodynamic framework through thermal particle emissions from a freeze-out surface of the flowing medium with the kinetic freeze-out temperature T and the radial expansion flow velocity profileβ(r) .The Boltzmann-Gibbs Blast-Wave (BGBW) model has been widely used to study the
pT distributions of identified hadrons in heavy ion collisions. This approach assumes local equilibrium of the system so that a Boltzmann distribution can be applied to describe the emitting particles in the local rest frame of the expanding fluid. Considering that the equilibrium assumption generally fails at highpT , this BGBW framework is believed to work only in the lowpT region and is sensitive to the choice of the fittedpT range [8, 9]. The Blast-Wave model is further developed with the inclusion of Tsallis statistics [10], by assuming Tsallis distributions for the emitting particles rather than the exponential type distributions used in the BGBW model. The Tsallis Blast-Wave (TBW) model is expected to account for the non-equilibrium or hard scattering effects by incorporating the non-extensive parameter q and describing the final state hadron spectra for an extendedpT range [11–16]. Owing to its success in understanding a wide range of complex systems and utilization in studying various high energy collisions [17–19], the physical interpretation of the non-extensive parameter q in Tsallis statistical method is still under discussion. It is found that the hard scattering process in high energy collisions can deliver a power law distribution of highpT hadrons from jet fragmentations with the power index related to the non-extensive parameter q [20]. This q parameter characterizes the degree of deviation from the equilibrium assumption. If q approaches unity, the TBW model returns to the BGBW model.The energy dependence of the radial flow and the kinetic freeze-out temperature has been systematically studied [19, 21–25]. With its unique capabilities to account for non-equilibrium effects, the TBW model is also believed to be useful in describing hadron production in small systems such as proton proton (pp), proton nucleus (pA), and peripheral AA collisions [26–28]. The recent collectivity like behaviors observed in small collision systems have generated a considerable amount of discussion on whether the QGP matter is formed in these collisions [29–35]. The universal strangeness enhancement effect scaled with the event multiplicity found at the LHC energies suggests that a unified mechanism might induce enhanced multi-strange hadron production in both small and large systems [33, 36, 37]. Searching for universality in other collectivity related effects such as the radial expansion flow velocity and the freeze-out temperature across different collision systems and studying its system size dependence are important for understanding the appearance of QGP like effects in small systems. It is speculated that initial energy density induced hot spots caused by the Color Glass Condensate formalism may generate strong collective flow and sizable temperature fluctuations especially in small systems. The imprints of the initial fluctuations that survive in the final state hadron momentum spectra at low and intermediate
pT region are expected to be captured in the TBW model with the non-extensive parameter q. The temperature and flow velocity extracted from the TBW model are correlated with the q parameter by the shear and bulk viscosity in linear and quadratic forms [12, 38]. Investigating the kinetic freeze-out features dependent on the event multiplicity may shed some light on the understanding of the origin of the collectivity like behavior observed in small systems.In this study, we use the Tsallis Blast-Wave model to fit the transverse momentum spectra of identified hadrons
π±,K±,p,ˉp produced in√s=7 and13 TeV pp collisions [35, 39],√sNN=5.02 TeV pPb collisions [40],√sNN=5.44 TeV XeXe collisions [41], and√sNN=2.76 TeV and5.02 TeV PbPb collisions [42, 43]. The extracted parameters T, β, and q are systematically compared across different systems with and without considering the separate non-equilibrium parameter q for baryons. The rest of this paper is organized as follows. We illustrate the implementation of the Tsallis Blast-Wave model approach in Sec. II. The results of the extracted kinetic freeze-out parameters are presented in Sec. III. The major conclusions and discussions are summarized in Sec. IV. -
The BGBW model derived from the hydrodynamic framework has been widely used to fit the transverse momentum distribution data in heavy ion collisions. It is well known that the BGBW model follows the local thermal equilibrium assumption and only works in the low
pT region of the momentum spectra. The Tsallis distribution smoothly connects the power law type jet induced highpT part and the exponential type hydrodynamics dominant lowpT region of the momentum distributions. With the inclusion of the non-extensive parameter, the TBW model is expected to describe the evolution from pp collisions to the central AA collisions in a consistent manner. It is straightforward to implement the TBW model by replacing the particle emission sources in the local rest frame of the fluid cell from the Boltzmann distribution to the Tsallis distribution.The invariant differential particle yield for a hadron with mass m in the TBW model can be written in the form
d2N2πmTdmTdy|y=0=A∫+yb−ybmTcosh(ys)dys∫π−πdϕ×∫R0rdr[1+q−1T(mTcosh(ys)cosh(ρ)−pTsinh(ρ)cos(ϕ))]−1/(q−1).
(1) T is the global temperature of the expanding thermal sources from which particles are emitted. R is the hard sphere edge along the transverse radial direction. A denotes the normalization constant.
mT=√p2T+m2 is the transverse mass of a particle.ys represents the source rapidity.yb gives the beam rapidity. ϕ is the particle emission angle with respect to the flow velocity.ρ=tanh−1β(r) is the radial flow profile obtained in a self-similar way with the transverse flow velocity parametrized asβ(r)=βS(rR)n under the longitudinal boost invariant assumption.β(r) is defined in the range0⩽ with the surface velocity\beta_{S} at the edge of the fireball hard sphere R and the flow profile index n. The average transverse flow velocity can be expressed as\langle\beta\rangle= \beta_{S}\cdot 2/(2+n) . The relevant model parameters can be extracted based on Eq. (1) using the least\chi^{2} method.In this study, the value of n is fixed to 1 for the consideration of a linear velocity profile; thus, one obtains
\langle\beta\rangle=2/3\beta_{S} . It has been argued that, in small collision systems, the baryon number might play an important role in hadron production, and the characteristic grouping of meson and baryon sectors are needed to provide a better description of thep_T spectra in TBW fits [26, 27]. In the rest of this paper, we refer to the fits including all of the mesons and baryons with a combined non-extensive parameter q as the default TBW fit and those with four fit parameters using different q values for mesons (q_M ) and baryons (q_B ) as the TBW4 fit. In this study, we perform both TBW and TBW4 fits to the charged pion, kaon, and protonp_T spectra at the LHC energies measured by the ALICE collaboration to extract the kinetic freeze-out parameters. -
This section compares TBW and TBW4 model fits of the transverse momentum spectra for charged pions, kaons, and protons in different collision systems at the LHC energies. We restrict ourselves to the comparable spectral range
p_T<3 GeV/c across all the collision systems to extract the bulk features. The average flow velocity\langle\beta\rangle is required to be less than2/3 and greater than0 during the fit procedures to achieve a better convergence and get rid of the non-physical parameter space. For some of the very peripheral collisions, the flow parameters are very close to the boundary. We fix the flow velocity parameter\langle\beta\rangle=0 to reduce the uncertainty of the fits for these peripheral bins. It has been verified that fixing the flow velocity to zero in these peripheral bins does not change the values of the other extracted model parameters.We present the transverse momentum spectra fits based on the default TBW model analysis in Fig. 1. Only examples for four collision systems from central to peripheral centralities are demonstrated in this figure; more details about the extracted fitting parameter values can be found in Table 1. The black solid circles, blue solid squares, and red open circles represent the experimental data in each panel. The solid lines mark the corresponding fit functions to each particle species. The results of the extracted model parameters and the
\chi^2/nDoF values are also displayed in the figure. It is shown that a stronger radial flow is expected in central collisions compared to that in peripheral collisions for all systems. The freeze-out temperature mildly changes with the centrality in each collision system. The non-extensive parameter grows from peripheral to central collisions in pp collisions but drops very fast in AA collisions approaching 1 when the system is reaching equilibrium. The\chi^2/nDoF values become quite large in both very small systems such as pp collisions at\sqrt{s}=7 TeV and very large systems such as PbPb collisions at\sqrt{s_{NN}}=5.02 TeV. The deviations of the fits to experimental data divided by experimental uncertainties (usually defined aspull= (fit- data)/ (data error) ) are shown in Fig. 2. The pull distributions can be used to quantify the agreement between the model fits and the experimental data. In all systems, the fit results seem to be consistent with data in the intermediatep_T region around 1.5 GeV/c , but sizable deviations can be found generally in both smaller and higherp_T regimes. It is speculated that the deviations in the lowp_T part may come from contributions due to resonance decay effects.Figure 1. (color online) Default TBW fits to hadron spectra in pp collisions at
\sqrt{s}= 7 TeV, pPb collisions at\sqrt{s_{{NN}}}= 5.02 TeV, XeXe collisions at\sqrt{s_{{NN}}}= 5.44 TeV, and PbPb collisions at\sqrt{s_{{NN}}}= 5.02 TeV from top to bottom panels. Results from the central, semi-central, and peripheral collisions are shown in the left column, middle column, and right column, respectively. The markers represent ALICE experimental data [ 35, 39–43] of identified particle species. Uncertainties in the experimental data represent quadratic sums of statistical and systematic uncertainties. The solid curves represent fit results from the TBW model.\rm system \rm\ dN/d \eta\; centrality (%) \langle\beta_S\rangle \; T \;/\rm{MeV} q-1 \chi^{2}/nDoF \rm Pb+Pb 1943 0-5\ 0.908\pm 0.004 94\pm 2 0.018\pm 0.005 324/89 \rm5.02~ TeV 1587 5-10\ 0.903\pm 0.003 92\pm 2 0.028\pm 0.004 313/89 1180 10-20\ 0.895\pm 0.003 95\pm 2 0.029\pm 0.004 323/89 786 20-30\ 0.874\pm 0.004 96\pm 2 0.039\pm 0.004 267/89 512 30-40\ 0.838\pm 0.005 95\pm 2 0.055\pm 0.004 212/89 318 40-50\ 0.779\pm 0.006 93\pm 2 0.074\pm 0.003 182/89 183 50-60\ 0.692\pm 0.007 93\pm 2 0.090\pm 0.003 183/89 96.3 60-70\ 0.578\pm 0.014 90\pm 2 0.107\pm 0.003 170/89 44.9 70-80\ 0.399\pm 0.026 90\pm 2 0.122\pm 0.003 182/89 17.5 80-90\ 0\pm 0 89\pm 2 0.131\pm 0.002 169/89 \rm Pb+Pb 1601 0-0\ 0.887\pm 0.006 96\pm 3 0.016\pm 0.007 157/104 \rm2.76~ TeV 1294 5-10\ 0.877\pm 0.006 96\pm 3 0.024\pm 0.007 151/104 966 10-20\ 0.866\pm 0.007 96\pm 3 0.031\pm 0.007 13/104 537.5 20-40\ 0.820\pm 0.008 98\pm 3 0.049\pm 0.005 133/104 205 40-60\ 0.714\pm 0.012 92\pm 3 0.080\pm 0.004 90/104 55.5 60-80\ 0.488\pm 0.024 94\pm 2 0.105\pm 0.003 134/104 \rm Xe+Xe 1167 0-5\ 0.899\pm 0.009 89\pm 4 0.032\pm 0.012 140/88 \rm5.44~ TeV 939 5-10\ 0.889\pm 0.003 88\pm 2 0.041\pm 0.002 135/88 706 10-20\ 0.880\pm 0.010 87\pm 3 0.047\pm 0.010 116/88 478 20-30\ 0.855\pm 0.011 86\pm 3 0.060\pm 0.008 100/88 315 30-40\ 0.809\pm 0.011 83\pm 3 0.079\pm 0.006 85/88 198 40-50\ 0.765\pm 0.013 83\pm 3 0.089\pm 0.005 89/88 118 50-60\ 0.682\pm 0.016 80\pm 2 0.107\pm 0.004 76/88 64.7 60-70\ 0.586\pm 0.022 79\pm 2 0.118\pm 0.004 77/88 22.5 70-90\ 0.412\pm 0.037 80\pm 2 0.127\pm 0.004 86/88 \rm p+Pb 45 0-5\ 0.663\pm 0.0130 80\pm 2 0.124 \pm 0.003 232/99 \rm5.02~ TeV 36.2 5-10\ 0.620\pm 0.015 81\pm 2 0.128\pm 0.003 250/99 30.5 10-20\ 0.574\pm 0.017 82\pm 2 0.130\pm 0.003 254/99 23.2 20-30\ 0.492\pm 0.021 83\pm 2 0.134\pm 0.003 292/99 16.1 30-40\ 0.332\pm 0.035 86\pm 2 0.137\pm 0.003 314/99 9.8 40-60\ 0\pm 0 87\pm 2 0.136\pm 0.001 345/99 4.4 60-80\ 0\pm 0 90\pm 2 0.119\pm 0.001 447/99 \rm p+p 26.02 0-0.92\ 0.561\pm 0.019 70\pm 2 0.154\pm 0.003 226/89 \rm13~ TeV 20.02 0.92-4.6\ 0.493\pm 0.023 73\pm 2 0.151\pm 0.003 271/89 16.17 4.6-9.2\ 0.414\pm 0.029 76\pm 2 0.149\pm 0.003 288/89 13.77 9.2-13.8\ 0.329\pm 0.039 79\pm 2 0.148\pm 0.003 308/89 12.04 13.8-18.4\ 0.236\pm 0.056 80\pm 2 0.148\pm 0.002 316/89 10.02 18.4-27.6\ 0\pm 0 82\pm 2 0.146\pm 0.002 342/89 7.95 27.6-36.8\ 0\pm 0 84\pm 2 0.140\pm 0.002 375/89 6.32 36.8-46.0\ 0\pm 0 85\pm 2 0.134\pm 0.002 436/89 4.50 46.0-64.5\ 0\pm 0 87\pm 2 0.125\pm 0.001 544/89 2.55 64.5-100\ 0\pm 0 90\pm 1 0.106\pm 0.001 819/89 \rm p+p 21.3 0-0.95\ 0.513\pm 0.021 75\pm 2 0.144\pm 0.003 257/89 \rm7~ TeV 16.5 0.95-4.7\ 0.414\pm 0.026 78\pm 2 0.144\pm 0.003 296/89 13.5 4.7-9.5\ 0.300\pm 0.039 80\pm 2 0.143\pm 0.002 308/89 11.5 9.5-14\ 0.155\pm 0.079 82\pm 2 0.143\pm 0.002 325/89 10.1 14-19\ 0\pm 0 84\pm 2 0.141\pm 0.002 326/89 8.45 19-28\ 0\pm 0 85\pm 2 0.136\pm 0.002 360/89 6.72 28-38\ 0\pm 0 89\pm 2 0.123\pm 0.001 400/89 5.4 38-48\ 0\pm 0 89\pm 2 0.123\pm 0.001 480/89 3.9 48-68\ 0\pm 0 92\pm 2 0.114\pm 0.002 523/89 2.26 68-100\ 0\pm 0 94\pm 2 0.098\pm 0.002 606/89 Table 1. Charge particle density, extracted kinetic freeze-out parameters, and
\chi^{2}/nDoF from TBW fits to identified particle transverse spectra in pp collisions at\sqrt{s}=7 TeV and 13 TeV, pPb collisions at\sqrt{s_{NN}}=5.02 TeV, XeXe collisions at\sqrt{s_{NN}}=5.44 TeV, and PbPb collisions at\sqrt{s_{NN}}=2.76 TeV and5.02 TeV with different centralities.Figure 2. (color online) Deviations of TBW model fits to hadron spectra divided by data uncertainties in pp collisions at
\sqrt{s}= 7 TeV, pPb collisions at\sqrt{s_{{NN}}}= 5.02 TeV, XeXe collisions at\sqrt{s_{{NN}}}= 5.44 TeV, and PbPb collisions at\sqrt{s_{{NN}}}= 5.02 TeV from top to bottom panels. The markers represent the results for different particle species. The dashed lines represent where the difference between the model and experimental data is three times the error of the data.For comparison, we also show the transverse momentum spectra and pull distributions based on the TBW4 fits in Fig. 3 and Fig. 4; more details about the extracted fitting parameters can be found in Table 2. Modifying the TBW model to enable the independent
q_B parameter for baryons achieves high quality fits for small systems, whereas the improvements to large collision systems are quite limited. The TBW4 fits are found to work significantly better, especially in pp and pPb collisions, whereas the\chi^2/nDoF values in the central XeXe and PbPb collisions shown in Fig. 3 are quite similar to those obtained in the TBW fits presented in Fig. 1. The improvement in small systems mainly comes from a better description of the protonp_T distributions, as shown in Fig. 4. This is expected due to the inclusion of the baryon grouped non-extensive parameterq_B . This improvement indicates the importance of baryon number in the fragmentation process of small systems. However, it is found that the pull distributions are not flattened to zero, especially for protons in large systems, even with the independentq_B considered. There is a possibility that in central AA collisions, nuclear medium modifications such as shadowing effects and parton energy loss effects can be important in understanding this discrepancy. From Fig. 3, it is also found that the extracted freeze-out temperature is smaller than that in the default TBW fits for pp and pPb collisions. The non-extensive parameter for mesons is usually larger than that for baryons except in the central AA collisions when the off equilibrium effects are vanishing. These two non-extensive parametersq_M andq_B become similar in central XeXe and PbPb collisions.Figure 3. (color online) Default TBW4 fits to hadron spectra in pp collisions at
\sqrt{s}= 7 TeV, pPb collisions at\sqrt{s_{NN}}= 5.02 TeV, XeXe collisions at\sqrt{s_{NN}}= 5.44 TeV, and PbPb collisions at\sqrt{s_{NN}}= 5.02 TeV from top to bottom panels. Results from the central, semi-central and peripheral collisions are shown in the left column, middle column, and right column, respectively. The markers represent ALICE experimental data [35, 39–43] of identified particle species. Uncertainties on experimental data represent quadratic sums of statistical and systematic uncertainties. The solid curves represent fit results from the TBW4 model.Figure 4. (color online) Deviations of TBW4 model fits to hadron spectra divided by data uncertainties in pp collisions at
\sqrt{s}= 7 TeV, pPb collisions at\sqrt{s_{NN}}= 5.02 TeV, XeXe collisions at\sqrt{s_{NN}}= 5.44 TeV, and PbPb collisions at\sqrt{s_{NN}}= 5.02 TeV from top to bottom panels. The markers represent the results for different particle species. The dashed lines represent where the difference between the model and experiment data is three times the error of the data.\rm system {\rm d}N/{\rm d}\eta\; centrality (%) \langle\beta_S\rangle \; T \;/\rm{MeV} q_B-1 q_M-1 \chi^{2}/nDoF \rm Pb+Pb 1943 0-5 0.894\pm 0.005 100\pm 2 0.018\pm 0.006 0.039\pm 0.007 279/88 \rm5.02~ TeV 1587 5-10 0.894\pm 0.005 97\pm 2 0.026\pm 0.005 0.039\pm 0.005 294/88 1180 10-20 0.887\pm 0.005 98\pm 2 0.028\pm 0.005 0.038\pm 0.005 310/88 786 20-30\ 0.871\pm 0.005 96\pm 2 0.039\pm 0.004 0.042\pm 0.005 266/88 512 30-40 0.849\pm 0.006 92\pm 2 0.055\pm 0.004 0.048\pm 0.005 203/88 318 40-50 0.805\pm 0.006 87\pm 2 0.075\pm 0.003 0.062\pm 0.004 150/88 183 50-60 0.740\pm 0.008 84\pm 2 0.092\pm 0.003 0.077\pm 0.003 122/88 96.3 60-70 0.674\pm 0.013 77\pm 2 0.110\pm 0.003 0.088\pm 0.00 64/88 44.9 70-80 0.575\pm 0.015 74\pm 2 0.123\pm 0.002 0.098\pm 0.003 51/88 17.5 80-90 0.478\pm 0.031 74\pm 3 0.129\pm 0.002 0.103\pm 0.004 49/88 \rm Pb+Pb 1601 0-5 0.883\pm 0.009 98\pm 3 0.017\pm 0.009 0.020\pm 0.011 156/103 \rm2.76~ TeV 1294 5-10 0.878\pm 0.006 96\pm 3 0.024\pm 0.006 0.023\pm 0.007 151/103 966 10-20 0.871\pm 0.009 94\pm 3 0.031\pm 0.007 0.026\pm 0.009 134/103 537.5 20-40 0.845\pm 0.008 91\pm 3 0.047\pm 0.005 0.034\pm 0.006 113/103 205 40-60 0.770\pm 0.0135 80\pm 3 0.083\pm 0.004 0.063\pm 0.005 55/103 55.5 60-80 0.644\pm 0.0177 75\pm 3 0.109\pm 0.003 0.083\pm 0.004 44/103 \rm Xe+Xe 1167 0-5 0.892\pm 0.013 90\pm 4 0.033\pm 0.013 0.042\pm 0.017 138/87 \rm5.44~ TeV 939 5-10 0.891\pm 0.012 90\pm 4 0.037\pm 0.011 0.039\pm 0.015 134/87 706 10-20 0.882\pm 0.009 87\pm 3 0.046\pm 0.007 0.044\pm 0.009 116/87 478 20-30 0.864\pm 0.010 84\pm 3 0.058\pm 0.007 0.050\pm 0.009 97/87 315 30-40 0.829\pm 0.014 79\pm 3 0.078\pm 0.007 0.064\pm 0.009 75/87 198 40-50 0.791\pm 0.014 78\pm 3 0.088\pm 0.005 0.074\pm 0.007 76/87 118 50-60 0.717\pm 0.016 75\pm 3 0.107\pm 0.004 0.094\pm 0.005 63/87 64.7 60-70 0.656\pm 0.022 70\pm 3 0.120\pm 0.004 0.101\pm 0.005 47/87 22.5 70-90 0.547\pm 0.030 69\pm 3 0.129\pm 0.004 0.106\pm 0.004 37/87 \rm p+Pb 45 0-5 0.768\pm 0.013 65\pm 3 0.126\pm 0.004 0.091\pm 0.005 88/98 \rm5.02~ TeV 36.2 5-10 0.740\pm 0.012 65\pm2 0.130\pm 0.003 0.096\pm 0.005 93/98 30.5 10-20 0.710\pm 0.013 66\pm 2 0.132\pm 0.003 0.100\pm 0.004 91/98 23.2 20-30 0.673\pm 0.016 64\pm 3 0.137\pm 0.003 0.103\pm 0.004 76/98 16.1 30-40 0.604\pm 0.016 65\pm 2 0.138\pm 0.002 0.105\pm 0.003 69/98 9.8 40-60 0.507\pm 0.027 65\pm 3 0.140\pm 0.002 0.107\pm 0.003 37/98 4.4 60-80 0.279\pm 0.046 71\pm 2 0.134\pm 0.002 0.104\pm 0.003 21/98 \rm p+p 26.02 0-0.92\ 0.678\pm 0.016 59\pm 3 0.154\pm 0.003 0.119\pm 0.005 102/88 \rm13~ TeV 20.02 0.92-4.6 0.647\pm 0.015 60\pm 2 0.152\pm 0.003 0.113\pm 0.004 89/88 16.17 4.6-9.2 0.608\pm 0.019 61\pm 3 0.150\pm 0.003 0.111\pm 0.004 80/88 13.77 9.2-13.8 0.576\pm 0.021 63\pm 3 0.148\pm 0.003 0.109\pm 0.004 72/88 12.04 13.8-18.4 0.548\pm 0.017 63\pm 2 0.147\pm 0.002 0.109\pm 0.003 64/88 10.02 18.4-27.6 0.511\pm 0.026 64\pm 3 0.145\pm 0.002 0.107\pm 0.004 56/88 7.95 27.6-36.8 0.453\pm 0.024 66\pm 2 0.143\pm 0.002 0.105\pm 0.003 43/88 6.32 36.8-46.0 0.399\pm 0.029 68\pm 2 0.140\pm 0.002 0.103\pm 0.003 35/88 4.50 46.0-64.5 0.284\pm 0.044 71\pm 2 0.136\pm 0.002 0.100\pm 0.003 323/88 2.55 64.5-100 0\pm 0 76\pm 1 0.121\pm 0.001 0.088\pm 0.001 80/88 \rm p+p 21.3 0-0.95\ 0.678\pm 0.012 60\pm 1 0.144\pm 0.002 0.105\pm 0.004 100/88 \rm7~ TeV 16.5 0.95-4.7 0.631\pm 0.018 61\pm 2 0.143\pm 0.002 0.105\pm 0.004 98/88 13.5 4.7-9.5 0.591\pm 0.016 62\pm2 0.142\pm 0.002 0.104\pm 0.003 84/88 11.5 9.5-14 0.560\pm 0.018 63\pm 2 0.140\pm 0.002 0.102\pm 0.003 74/88 10.1 14-19 0.532\pm 0.025 64\pm 3 0.139\pm 0.002 0.102\pm 0.003 65/88 8.45 19-28 0.498\pm 0.028 65\pm 3 0.137\pm 0.002 0.100\pm 0.003 52/88 6.72 28-38 0.444\pm 0.022 671\pm 2 0.135\pm 0.001 0.099\pm 0.002 36/88 5.4 38-48 0.385\pm 0.047 69\pm3 0.132\pm 0.002 0.097\pm 0.003 26/88 3.9 48-68 0.253\pm 0.120 73\pm 5 0.129\pm 0.002 0.097\pm 0.005 18/88 2.26 68-100\ 0 \pm 0 75\pm 2 0.117\pm 0.002 0.086\pm 0.001 42/88 Table 2. Charge particle density, extracted kinetic freeze-out parameters, and
\chi^{2}/nDoF from TBW4 fits to identified particle transverse spectra in pp collisions at\sqrt{s}=7 TeV and 13 TeV, pPb collisions at\sqrt{s_{NN}}=5.02 TeV, XeXe collisions at\sqrt{s_{NN}}=5.44 TeV, and PbPb collisions at\sqrt{s_{NN}}=2.76 TeV and5.02 TeV with different centralities. -
The model parameters extracted from the TBW and TBW4 fits dependent on event multiplicity are studied in this section. We present the results of kinetic freeze-out temperature T, average radial flow velocity in the transverse plane
\langle\beta\rangle , and non-extensive parameter q extracted from the TBW analysis varying with the mid-rapidity charged particle multiplicity in Fig. 5. The charged multiplicity is quantified with the average charged particle number within|\eta|<0.5 per unit pseudorapidity\langle {\rm d}N/{\rm d}\eta \rangle in each event class. The black circles, cyan crosses, red stars, green diamonds, blue triangles, and magenta squares represent the results of pp 7 TeV, pp 13 TeV, pPb 5.02 TeV, XeXe 5.44 TeV, PbPb 2.76 TeV, and PbPb 5.02 TeV, respectively. It is shown in Fig. 5(a) that the multiplicity dependent flow velocity can be divided into two groups: one group mainly contains large symmetric systems such as XeXe 5.44 TeV, PbPb 2.76 TeV, and PbPb 5.02 TeV, and the other group includes small systems such as pp 7 TeV, pp 13 TeV, and pPb 5.02 TeV. The average flow velocity grows with the multiplicity rapidly in the low\langle {\rm d}N/{\rm d}\eta\rangle region but saturates at approximately 0.6 when the average charge number density\langle {\rm d}N/{\rm d}\eta \rangle approaches 1000. The onset of non-zero radial flow starts from\langle {\rm d}N/{\rm d}\eta \rangle around 10 to 20 in two groups. The branching of the small system flow velocity with respect to the large system flow at the same\langle {\rm d}N/{\rm d}\eta\rangle can be understood in the context of parton density difference in the transverse plane. Higher initial densities in pp and pA collisions might produce a larger pressure against the surrounding environment [44, 45].Figure 5. (color online) Charge multiplicity dependence of the extracted freeze-out parameters and the effective temperature
T_{\rm eff} of different collision systems from TBW fits. Solid symbols with the same style represent different centrality classes in each collision system.The non-extensive parameter is shown in Fig. 5(b) as
(q-1) versus the average charge particle density. It is found that the non-extensive parameter initially increases with charge particle density and then drops when\langle {\rm d}N/{\rm d}\eta \rangle becomes larger than 10. The non-extensive parameters from different collision systems seem to scale together. Deviations arise in the region of\langle {\rm d}N/{\rm d}\eta \rangle between 10 and 50. The non-extensive parameter in pPb collisions in the high multiplicity regime follows the AA collision trend, unlike the radial flow velocity, which follows the trend of pp collisions. In contrast, the extracted kinetic freeze-out temperature T shows the opposite dependence on the event multiplicity compared to the non-extensive parameter(q-1) . As displayed in Fig. 5(c), a slight decrease within\langle {\rm d}N/{\rm d}\eta \rangle < 10 and a mild increase in the kinetic freeze-out temperatures dependent on the charge particle density in the region of\langle {\rm d}N/{\rm d}\eta \rangle > 40 are observed. In both non-extensive parameter and freeze-out temperature comparisons, the high multiplicity pp 13 TeV results are found to slightly deviate from the global trend. It is also interesting to see that the radial flow velocity in high multiplicity pPb collisions is similar to that in pp collisions, whereas the non-extensive parameter in the same events follows the AA trend.Finally, we also present the effective temperature of the system defined as
T_{\rm eff}=\sqrt{\frac{1+\langle\beta\rangle}{1-\langle\beta\rangle}}T [2, 28] in Fig. 5(d). The effective temperature incorporating the radial flow velocity seems to be insensitive to the collision system but only relies on the charge multiplicity. A turning point in theT_{\rm eff} distribution is seen at\langle {\rm d}N/{\rm d}\eta \rangle \sim 10 , similar to that in the non-extensive parameter distribution, above which the temperature increases monotonously up to\langle {\rm d}N/{\rm d}\eta \rangle \sim 10^3 in a unified way across all different systems ranging from pp collisions to AA collisions.In the framework of non-equilibrium statistics, the temperature and the flow velocity can be related to viscosity with a linear or quadratic dependence on the non-extensive parameter
(q-1) . The\langle\beta\rangle vs.(q-1) and T vs.(q-1) distributions from TBW fits are shown in Fig. 6. The non-zero radial flow velocity and(q-1) can be roughly described by a universal quadratic dependence, with the exception that high multiplicity pp collisions are more likely to have larger non-extensive parameters instead of having vanishing(q-1) values as seen in central AA collisions. The kinetic freeze-out temperature T vs.(q-1) also shows little sensitivity to the collision system, while a slightly diverged branch consisting of XeXe collisions and pPb collisions is observed. The deviation of the XeXe and pPb results compared to the large symmetric systems possibly comes from the fluctuation effects in the initial conditions, whose initial spatial geometries can vary significantly due to the non-spherical shape of Xe nuclei and the asymmetric colliding nuclei involved in the pPb collisions. The potentially produced hot spot regions during the fluctuations may lead to a longer lifetime of the evolving medium and a lower freeze-out temperature.Figure 6. (color online)
\langle\beta\rangle vs.q-1 and T vs.q-1 of different collision systems from TBW fits. Solid symbols with the same style represent different centrality classes in each collision system.The extracted freeze-out parameters are also studied in the case with two independent non-extensive parameters
q_M for mesons andq_B for baryons. Compared to the results shown in Fig. 5, much better scaling features are observed in Fig. 7 for TBW4 fits. The radial flow velocity distribution is still divided into two groups with a quite early onset of non-zero radial flow in\langle {\rm d}N/{\rm d}\eta\rangle as shown in Fig. 7(a). The non-extensive parametersq_B for the baryons are represented by the hollow markers and compared toq_M in Fig. 7(b).q_M is found to be larger thanq_B , especially in the low multiplicity regime. The separated meson and baryon non-extensive parameters seem to automatically converge in the high multiplicity region. This indicates that the baryon number is mostly important for the hadronization process in small systems. For large systems, the non-equilibrium effects become negligible, and the non-extensive parameter turns out to be independent of the hadron species. The radial flow velocity and the non-extensive parameter in high multiplicity pPb collisions show diverged features similar to the findings in Fig. 5, following the pp collision behavior in\langle\beta\rangle and the AA collision behavior in(q-1) . This deviation arises because the transverse overlap area in small systems is much smaller than that in large systems at the same event multiplicities [46]. The initial entropy density, represented by the particle density per unit transverse overlap area, in small systems is thus significantly enhanced, which leads to stronger collective expansion in high multiplicity pPb collisions in contrast to that in peripheral PbPb collisions. The extracted radial flow velocity is expected to scale with the charged particle density per unit transverse overlap area across the large and small systems in a more coherent way [47].Figure 7. (color online) Charge multiplicity dependence of the extracted freeze-out parameters and the effective temperature
T_{\rm eff} of different collision systems from TBW4 fits. Solid symbols with the same style represent different centrality classes in each collision system. In panel (c), open markers represent the results ofq_B and solid markers represent the results ofq_M .A two staged temperature dependence varying with
\langle {\rm d}N/{\rm d}\eta \rangle is found in Fig. 7(c) and Fig. 7(d), similar to the results shown in Fig. 5(c) and Fig. 5(d). The deviation of the temperature from PbPb collisions to XeXe collisions is less important in TBW4 fits than that in the TBW case. Without the initial decreasing part,T_{\rm eff} in TBW4 grows all the way from low to high multiplicity only with different slopes in the two regions separated by\langle {\rm d}N/{\rm d}\eta \rangle \sim20 .It is noteworthy that a turning behavior exists in the multiplicity dependence of the freeze-out parameters
\langle\beta\rangle , q, and T around\langle {\rm d}N/{\rm d}\eta\rangle \sim 10 to 15, as shown both in Fig. 5 and Fig. 7. Considering that the hadronic interactions are believed to be dominant in the low multiplicity events and the parton interactions become more important in the high multiplicity limit, the region in between may suffer from the mixture of the two types of contributions. The emergence of this feature suggests that the dominant physics mechanism dictating the evolution of the system changes from hadron gas rescatterings to deconfined quark gluon matter interactions. This turning behavior can be regarded as a signature that the quark and gluon degrees of freedom begin to take over in the high multiplicity region.Considering the TBW4 fits generally give better descriptions of the experimental data, we also examine the
\langle\beta\rangle vs.(q-1) and T vs.(q-1) in Fig. 8 from TBW4 analysis. The large system\langle\beta\rangle vs.(q-1) relationship can be roughly described by a quadratic fit, while more complicated structures can be found for the smaller systems as displayed in Fig. 8(a) and Fig. 8(b). Similar to the findings in Fig. 7(b), central pp collisions have a large q and sizable flow, while large collision systems tend to have a small q and large\langle\beta\rangle in central events. The parameters of peripheral pPb events are close to those in the pp case but become similar to those in the AA case in high multiplicity pPb collisions. The T vs.(q-1) relationships shown in Fig. 8(c) and Fig. 8(d) are found to be universal for all collision systems. Central pp collisions approach large q and small T, while central AA collisions are found to have large T and small q. It is interesting to see that both the AA system and the pp system have similar model parameter values in the peripheral collisions. These two types of collision systems follow two distinguished evolution curves on the\langle\beta\rangle vs.(q-1) plane and move in opposite directions along a universal curve in the T vs.(q-1) space. The difference between the large systems and the small systems in the\langle\beta\rangle vs.(q-1) space can be partly understood after considering the striking\langle\beta\rangle gap between the two types of systems shown in Fig. 5(a) and Fig. 7(a). Additionally, the initial spatial fluctuation effects can be important in accounting for this behavior. The initial geometries of large systems are supposed to be controlled by the average shape of the overlap region, while the sub-nucleon level fluctuation effects arise in the determination of initial densities for the high multiplicity small systems [48, 49]. The sizable non-equilibrium effects induced by the strong fluctuations in central pp collisions lead to an increasing non-extensive parameter, unlike in the central AA collisions in which q vanishes as the system approaches equilibrium. As the dynamical fluctuations in freeze-out temperature induced by the system size effects are encoded in the non-extensive parameter [11, 50, 51], the variations in temperature are compensated by the corresponding non-extensive parameters, and universal scalings are observed in the T vs.(q-1) space. It is expected that the pp collisions and pPb collisions with extremely high multiplicities will approach the environment created in AA collisions, indicated by the behaviors of\langle\beta\rangle and(q-1) in Fig. 5 and Fig. 7. Examining whether the turning behavior shown in Fig. 8(a) and (b) exists in the ultra-central pp and pPb collisions is an interesting research direction with future experimental data.Figure 8. (color online)
\langle\beta\rangle vs.q-1 and T vs.q-1 of different collision systems from TBW4 fits for the meson non-extensive parameter (left column) and baryon non-extensive parameter (right column). Solid symbols with the same style represent different centrality classes in each collision system. Arrows indicate the direction from peripheral to central classes for AA and pp collisions in the parameter space. -
In this study, we use the Tsallis Blast-Wave model with and without independent baryon non-extensive parameters to fit the transverse momentum spectra of charged pions, kaons, and protons produced at mid-rapidity in pp collisions at
\sqrt{s}=7 and 13 TeV, pPb collisions at\sqrt{s_{NN}}= 5.02 TeV, XeXe collisions at\sqrt{s_{NN}}= 5.44 TeV, and PbPb collisions at\sqrt{s_{NN}}= 2.76 TeV and 5.02 TeV at the LHC to extract kinetic freeze-out parameters. It is found that the introduction ofq_B for the baryons in the TBW4 fits improves the description of identified hadron spectra, especially in pp, pA, and peripheral AA collisions. The multiplicity dependence of the freeze-out properties are examined across the the largely varied collision systems. A general universal scaling of the freeze-out parameters can be observed, especially in the Tsallis analysis with a separate baryon non-extensive parameter.The radial flow velocities obtained from both the TBW fits and the TBW4 fits are divided into two categories consisting of small systems and large symmetric systems, respectively. The temperatures from different collision systems scale with the charge multiplicity in a unified way. A similar universality is also found in the non-extensive parameter distributions with some minor deviations in the most central pp collisions. By investigating the correlation of radial flow velocity
\langle\beta\rangle vs.(q-1) and kinetic freeze-out temperature T vs.(q-1) in the TBW4 fits with independentq_B assumptions, the peripheral AA collisions and pp collisions are found to be quite similar, while the two types of systems move in completely different directions toward central collisions in the parameter space. The asymmetric pPb collisions are close to the pp collisions in the low multiplicity region but become AA like in the high multiplicity region. A transitional behavior can be found in the evolution of the pPb collision system.The universality of the freeze-out properties revealed in this study suggests that Tsallis Blast-Wave analysis is applicable to various collision systems covering a wide range of event multiplicities. This feature also indicates that the evolution properties of the small size collision systems with high multiplicities and the large systems at the LHC energy can be driven by a unified physics mechanism. A parton evolution stage with sizable collective motion might exist even in the small collision systems. Extending the study to pp collision events with a considerably high charge particle density [52] or to intermediate size collision systems such as oxygen-oxygen collisions [53] in future experiments may be important for further understanding the universality of freeze-out properties observed in different collision systems at the LHC energies.
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We would like to thank Zebo Tang, Wangmei Zha, and Qiye Shou for helpful discussions.
![]() | ![]() | ![]() | ![]() | ![]() | b/GeV![]() | σ/GeV | ![]() | |
Parameter1 | 1.591 | 4.997 | 4 | 0.20 | 1.850 | 0.1515 | 1.86 | 0.538 |
Parameter2 | 1.591 | 4.997 | 4 | 0.30 | 1.074 | 0.1250 | 1.50 | 0.420 |
Parameter3 | 1.591 | 4.997 | 4 | 0.40 | 0.865 | 0.1126 | 1.40 | 0.345 |