Review Article  Open Access
Ashwini Kumar, P. K. Srivastava, B. K. Singh, C. P. Singh, "Charged Hadron Multiplicity Distribution at Relativistic HeavyIon Colliders", Advances in High Energy Physics, vol. 2013, Article ID 352180, 27 pages, 2013. https://doi.org/10.1155/2013/352180
Charged Hadron Multiplicity Distribution at Relativistic HeavyIon Colliders
Abstract
The present paper reviews facts and problems concerning charge hadron production in high energy collisions. Main emphasis is laid on the qualitative and quantitative description of general characteristics and properties observed for charged hadrons produced in such high energy collisions. Various features of available experimental data, for example, the variations of charged hadron multiplicity and pseudorapidity density with the mass number of colliding nuclei, centerofmass energies, and the collision centrality obtained from heavyion collider experiments, are interpreted in the context of various theoretical concepts and their implications. Finally, several important scaling features observed in the measurements mainly at RHIC and LHC experiments are highlighted in the view of these models to draw some insight regarding the particle production mechanism in heavyion collisions.
1. Introduction
Quantum chromodynamics (QCD), the basic theory which describes the interactions of quarks, and gluons is a firmly established microscopic theory in high energy collision physics. Heavyion collision experiments provide us with a unique opportunity to test the predictions of QCD and simultaneously understand the two facets of high energy collision process: hard process (i.e, the small crosssection physics) and soft process (i.e, the large crosssection physics) [1–3]. Nuclear collisions at very high energies such as collider energies enable us to study the novel regime of QCD, where parton densities are high and the strong coupling constant between the partons is small which further decreases as the distance between the partons decreases. The parton densities in the initial stage of the collision can be related to the density of charged hadrons produced in the final state. With the increase in collision energy, the role of hard process (minijet and jet production) in final state particle production rapidly increases and offers a unique opportunity to investigate the interplay between various effects. In this scenario, the perturbative QCD (pQCD) lends a good basis for high energy dynamics and has achieved significant success in describing hard processes occurring in high energy collisions such as scaling violation in deep inelastic scattering DIS [4], hadronicjet production in annihilation [5, 6], and largeptjet production in hadronhadron collisions [7–11]. On the other hand, in soft processes such as hadron production with sufficiently small transverse momentum in hadronic and nuclear collisions, the interactions become so strong that the perturbative QCD (pQCD) does not remain applicable any more. Thus, there is no workable theory yet for nonperturbative QCD regime which can successfully describe these soft processes. Due to inapplicability of pQCD in this regime, experimental inputbased phenomenological models are proven to be an alternative tool to increase our knowledge of the property of the basic dynamics involved in such collision processes. Furthermore, these soft hadrons which decouple from the collision zone in the late hadronic freezeout stage of the evolution are quite useful in providing the indirect information about the early stage of the collision. Several experimental information on the multiparticle production in leptonhadron, hadronhadron, hadronnucleus, and nucleusnucleus has been accumulated in the recent past over a wide range of energy. In this context, the bulk features of multiparticle production such as the average charged particle multiplicity and particle densities are of fundamental interest as their variations with the collision energy, impact parameter, and the collision geometry are very sensitive to the underlying mechanism involved in the nuclear collisions. These can also throw more light in providing insight on the partonic structure of the colliding nuclei. In order to understand the available experimental data, a lot of efforts have been put forward in terms of theoretical and phenomenological models. However, the absence of any well established alternative, the existing problem of the production mechanism of charged hadrons continues to facilitate proliferation of various models. The development in this direction is still in a state of flux for describing the same physical phenomenon using different concepts and modes of operation. Most of these theoretical models are based on the geometrical, hydrodynamical, and statistical approaches. However, the diverse nature of the experimental data poses a major challenge before physics community to uncover any systematics or scaling relations which are common to all type of reactions. Thus, a search for universal mechanism of charged hadron production common to hadronhadron, hadronnucleus, and nucleusnucleus interactions is still continued and needs a profound effort to draw any firm conclusion. Also, the complicated process of manybody interactions occurring in these collision processes is still quite difficult to make a clear understanding of the phenomena by analyzing the experimental data on the multiparticle production in the final state. In this regard, ongoing efforts for the extensive analysis of the experimental data available on charged hadron production in the view of some successful phenomenological models can provide us with a much needed insight in developing a better understanding of the mechanism involved in the particle production. Moreover, these can also be useful in revealing the properties of the nuclear matter formed at extreme conditions of energy and matter densities.
In this review, we attempt to give a succinct description of most of the progress made in this field till date even though it is not so easy for us. Furthermore, we believe that the references mentioned in this review will surely guide the readers, but we can never claim that they are complete. We apologize to those authors whose valuable contributions in this field have not been properly mentioned.
The structure of this paper is framed in the following manner. At first, in Section 2, we start with a brief description of different models used for the study of charged hadron productions in this review in a systematic manner. In Section 3, the experimental results on charged hadron production at collider energies are presented along with the comparison of different model results. Further in Section 4, we will provide some scaling relations for charged hadrons production and evaluate them on the basis of their universality in different collisions.
2. Model Descriptions
2.1. Wounded Nucleon Model
In 1958, Glauber presented his first collection of various papers and unpublished work [12]. Before that, there were no systematic calculations for treating the manybody nuclear system as either a projectile or target. Glauber’s work put the quantum theory of collisions of composite objects on a firm basis. In 1969 Czyz and Maximom [13] applied the Glauber’s theory in its most complete form for protonnucleus and nucleusnucleus collisions. By using Glauber’s theory, finally Bialas et al. [14] first proposed the wounded nucleon model which was based on the basic assumption that the inelastic collisions of two nuclei can be described as an incoherent composition of the collisions of individual nucleons of the colliding nuclei. In this approach, the collective effects which may occur in nuclei were neglected. According to their assumption, in nucleonnucleus collisions, a fundamental role is played by the mean number of collisions suffered by the incident nucleon with the nucleons in the target nucleus [15]. Similarly, nucleusnucleus collision is also described in terms of the number of wounded nucleons (). For the nucleonnucleus collisions, there is a simple relation between and but no such type of relation exists for the nucleusnucleus collisions. Motivated by the data available on nucleonnucleus () interactions [16], the average multiplicity follows approximately the formula where is the average multiplicity in nucleonnucleon collisions. For nucleusnucleus () collisions generalization of this picture implies that the average multiplicity is where the number of wounded nucleons (participants) in the collision of and is the sum of wounded nucleons in the nucleus and the nucleus ; that is, with and . The extension of Glauber model was used to describe elastic, quasielastic, and the total crosssections [13, 17–21]. In the wounded nucleon model, the basic entity is the nucleonnucleon collision profile defined as the probability of inelastic nucleonnucleon collision at impact parameter . Once the probability of a given nucleonnucleon interaction is known, the probability of having such interactions in collision of nuclei and is given as [22] where is thickness function and the is the inelastic nucleonnucleon crosssection. The total crosssection is given by The total number of nucleonnucleon collisions is given by The number of participants (wounded nucleons) at a given impact parameter is given by with being the probability per unit transverse area of a given nucleon being located in the target flux tube of or and being the probability per unit volume, normalized to uniy for finding the nucleon at location .
The rapidity density of particles in nucleusnucleus () collision is given by [23] where is the rapidity in c.m. system and and are the contribution from a single wounded nucleon in and . Thus, The model gives a good description of the data, with condition (9) being well satisfied, except at rapidities close to the maximal values [23].
It can be seen from (8) that, for nucleonnucleon collision, one has and thus for the ratio one obtains consequently, one has, at , which implies that the value of the ratio at midrapidity is fully determined by the number of wounded nucleons and independent of the function . Unlike the scaling observed in charged hadron multiplicity, pseudorapidity density at midrapidity does not scale linearly with [22]. It was conjectured [24–28] that at sufficiently high energy the particle production in nucleusnucleus collisions will be dominated by hard processes. However, the gross features of particle production at CERN SPS energies were found to be approximately consistent [29] with the scaling as accommodated by the wounded nucleon model. A better agreement with the data is found in twocomponent model for estimating the pseudorapidity density in wounded nucleon model as shown by [30]. In collisions hadron production from the two processes scales as (number of nucleon participant pairs) and (number of binary collisions), respectively [30]. According to this assumption the pseudorapidity density of charged hadrons is given as where quantifies the relative contributions of two components arising from hard and soft processes. The fraction corresponds to the contribution from hard processes and the remaining fraction () describes the contributions arising from the soft processes.
2.2. Wounded Quark Model
Charged hadron production by using the concept of the constituent or wounded quarks has been widely used for many years [31–34]. In the wounded quark picture, nucleusnucleus collisions are effectively described in terms of the effective number of constituent quarks participating in the collision process along with the effective number of collisions suffered by each of them. Recently, the idea of wounded quarks was resurrected by Eremin and Voloshin [35] in which they modified the overlap function by increasing the nucleon density three times and introduced one more parameter the quarkquark interaction crosssection, which reproduced the data well. They have further shown that the charged hadron density at midrapidity can be described well by the wounded quark model. This problem was further investigated in several papers [36–40] representing the analysis of various spectra, SPS data, total multiplicities, and the energy deposition. De and Bhattacharyya [37] have shown that the data on and favors the scaling, over the scaling whereas the pions do not agree well with such scaling law. Recently, we proposed a wounded quark model [41] which is primarily based on the previous work by Singh et al. [42–44]. In this picuture, during the collision, a gluon is exchanged between a quark of projectile or first nucleus and a quark belonging to target or other colliding nucleus. The resulting color force is then somewhat stretched between them and other constituent quarks because they try to restore the color singlet behaviour. When two quarks separate, the color force builds up between them and the energy in the colorfield increases; the color tubes thus formed finally break up into new hadrons and/or quarkantiquark pairs. We consider a multiple collision scheme in which a valence quark of the incident nucleon suffers one or more inelastic collisions with the quarks of target nucleons. In a nucleonnucleon collision only one valence quark of each nucleon (i.e, target and projectile) interacts, while other quarks remain as spectators [40]. Only a part of the entire nucleon energy is spent for secondary production at midrapidity. The other spectator quarks are responsible for forming hadrons in the nucleon fragmentation region. In the case of nucleusnucleus collisions, more than one quark per nucleon interacts and each quark suffers more than one collision due to a large nuclear size since large travel path inside the nucleus becomes available. If we search a universal mechanism of charged particle production in the hadronhadron, hadronnucleus, and nucleusnucleus collisions, it must be driven by the available amount of energy required for the secondary production and it also depends on the mean number of participant quarks. The main ingredients of our model are taken from the paper by Singh et al. [42–44]. Charged hadrons produced from collisions are assumed to result from a somewhat unified production mechanism common to collisions at various energies.
Based on the experimental findings by PHOBOS collaboration, recently Jeon and collaborators have shown that the total multiplicity obtained at RHIC can be bounded by a cubic logarithmic term in energy [45]. Therefore, we propose here a new parameterization involving a cubic logarithmic term so that the entire experimental data starting from low energies (i.e. from 6.15 GeV) up to the highest LHC energy (i.e. 7 TeV) can suitably be described as [41] In (15), is the leading particle effect and is the available centerofmass energy (i.e., , where is the mass of the projectile and is the mass of the target nucleon, resp.), , , , and are constants derived from the best fit to the data, and the value of is taken here as 0.85 [41].
We can extrapolate the validity of this parametrization further for the produced charged particles in hadronnucleus interactions by considering multiple collisions suffered by the quarks of hadrons in the nucleus. The number of constituent quarks which participate in hadronnucleus () collisions share the total available centerofmass energy and thus the energy available for each interacting quark becomes , where is the mean number of constituent quarks in collisions. The total available squared centerofmass energy in collisions is related to as with as the mean number of inelastic collisions of quarks with target nucleus of atomic mass A. Within the framework of the Additive Quark Model [31, 32, 46–50], the mean number of collisions in hadronnucleus interactions is defined as the ability of constituent quarks in the projectile hadron to interact repeatedly inside a nucleus. Finally, the expression for average charged hadron multiplicity in collisions is [41–44] The generalization of the above picture for the case of nucleusnucleus collisions is finally achieved as follows [41]:
The parametrization in (17) thus relates nucleusnucleus collisions to hadronnucleus and further to hadronproton collisions and the values of the parameters , , , and remain unaltered which shows its universality for all these processes.
In creating quark gluon plasma (QGP), greater emphasis is laid on the central or headon collisions of two nuclei. The mean multiplicity in central collisions can straight forwardly be generalized [41] from (17) as The pseudorapidity distribution of charged particles is another important quantity in the studies of particle production mechanism from high energy and collisions, which, however, is not yet understood properly. It has been pointed out that can be used to get the information on the temperature () as well as energy density () of the QGP [51–53]. For the pseudorapidity density of charged hadrons, we first fit the experimental data of for collisionenergy ranging from a low energy to very high energy. One should use the parameterization up to squared logarithmic term in accordance with [45]. Hence, using a parameterization for central rapidity density as we obtain the values of the parameters , , and from the reasonable fit to the data [41].
Earlier many authors have attempted to calculate the pseudorapidity density of charged hadrons in a twocomponent model of parton fragmentation [54, 55]. Its physical interpretation is based on a simple model of hadron production: longitudinal projectile nucleon dissociation (soft) and transverse largeangle scattered parton fragmentation (hard). However, this assumption which is based on a nucleonnucleon collision in the Glauber model is crude and it looks unrealistic to relate participating nucleons and nucleonnucleon binary collisions to soft and hard components at the partonic level. Here we modify the twocomponent model of pseudorapidity distributions in collisions as given in (14) for the wounded quark scenario and assume that the hard component which basically arises due to multiple parton interactions [56] scales with the number of quarkquark collisions (i.e., ) and the soft component scales with the number of participating quarks (i.e., ). Thus, the expression for in collisions can be parameterized in terms of rapidity density as follows [41]:
In order to incorporate dependence in central collisions, we further extend the model by using the functional form where , , and are fitting parameters and is the central pseudorapidity density in collisions obtained from (20).
2.3. Dual Parton Model
Dual parton model was introduced at Orsay in 1979, by incorporating partonic ideas into the dual topological unitarization (DTU) scheme [57–61]. Dual parton model (DPM) and quark gluon string model (QGSM) are multiplescattering models in which each inelastic collision results from the superposition of two strings and the weights of the various multiplescattering contributions are represented by a perturbative Reggeon field theory. One assumes a Poisson distribution for each string for fixed values of the string ends. The broadening of distribution arises due to the fluctuations in the number of strings and the fluctuation of the string ends. When the effect of the fluctuations of the string ends is negligibly small, DPM reduces to an ordinary multiple scattering model with identical multiplicities in each individual scatterings [62]. The inclusive spectra for charged particle multiplicity in collisions is given as follows [63]: when all string contributions are identical which means all individual scattering are same then this expression reduces to the simple expression where is the average number of inelastic collisions and is the charged multiplicity per unit pseudorapidity in an individual collision.
To calculate the weights for the occurrence of inelastic collisions, a quasieikonal model has been used. The is given as follows [62]: Here , , and .
In (24), is the Born term given by Pomeron exchange with intercept . According to a wellknown identity which is known as AGK cancellation [64], all multiple scattering contributions vanish identically in the single particle inclusive distribution and only the Born term () contribution is left. The parameters and control the dependence of the elastic peak and contains the contribution of diffractive intermediate states. The total crosssection in this prescription is [65] Thus one can calculate the pseudorapidity distribution of charged hadron from (22) and using expectation value of as follows: Further, the crosssection for inelastic collisions in scattering after considering the AGK cancellation is as follows [62]: Here represents the nucleon profile function as defined in the wounded nucleon model. The first factor on the R.H.S. of (27) yields the number of ways in which interacting nucleons can be chosen out of . The second factor is the probability that nucleons interact at fixed parameter . The third factor is the probability for no interaction of the remaining nucleons. On the contrary the multiplicity for scattering in DPM is given as follows: with . Thus scales with the number of binary collisions. Further, the AGK cancellation implies that at midrapidity , which implies that As a function of the impact parameter, the average number of binary nucleonnucleon collisions can be expressed as follows [62]: Capella and Ferreiro [62] have also incorporated the corrections arising due to shadowing effects by including the contribution of triple Pomeron graphs. The suppression in multiplicity from shadowing in collision for a particle produced at midrapidity can be obtained by replacing the nuclear profile function : where . Further in (29) and (30), can be obtained as follows:
2.4. The Color Glass Condensate Approach
Color Glass Condensate [66–82] (CGC) is an effective theory that describes the gluon content of a high energy hadron or nucleus in the saturation regime. At high energies, the nuclei gets contracted and the gluon density increases inside the hadron wave functions, and at small , the gluon density is very large in comparison to all other parton species (the valence quarks) and the sea quarks are suppressed by the coupling , since they can be produced from the gluons by splitting . Systems that evolve slowly compared to natural time scales are generally glasses. The word Color is because CGC is composed of colored gluons. The word Glass is because the classical gluon field is produced by fast moving static sources. The distribution of these sources is real. Systems that evolve slowly compared to natural time scales are generally glasses. The word condensate means the gluon distribution has maximal phasespace density for momentum modes and the strong gluon fields are self generated by the hadron. This effective theory approximates the description of the fast partons in the wave function of a hadron. This framework has been applied in a range of experiments, for example, from DIS to protonproton, protonnucleus, and nucleusnucleus collisions. One of the early successes of the CGC was the description of multiplicity distributions in DIS experiments [53]. When the nucleus is boosted to a large momentum, then due to Lorentz contraction in the transverse plane of nuclei, partons have to live on thin sheet in the transverse plane. Each parton occupies the transverse area and can be probed with the crosssection . On the other side the total transverse area of the nucleus is . Therefore if the number of partons exceeds then they start to overlap in the transverse plane and start interacting with each other which prevents further growth of parton densities. At this situation the transverse momenta of the partons are of the order of , which is called “saturation scale” [30].
The multiplicity of the produced partons should be proportional to [30] In the first approximation, the multiplicity in this high density regime scales with the number of participants. However, there is an important logarithmic correction to this from the evolution of parton structure functions with . The coefficient of proportionality is given as follows [30]: where is the number of color, is the gluon structure function in nucleus, and is the density of participants in the transverse plane.
Number of produced partons is given as follows [30]: where is the “parton liberation” coefficient accounting for the transformation of virtual partons in the initial state to the onshell partons in the final state. Integrating over transverse coordinate and using (35), one can obtain [30] Here is assumed to be close to unity in the context of local “parton hadron duality” hypothesis [83] according to which, at , the distribution of produced hadrons mirrors that of the produced gluons. Using (35) and (37), one can evaluate the centrality dependence as follows [30]: Here is QCD scale parameter.
The rapidity density can be evaluated in CGC effective field theory (EFT) by using the following expression [84]: where is the inelastic crosssection of nucleusnucleus interaction. Further, the differential crosssection of gluon production in a collision is written as [84] where with the pseudorapidity of the produced gluon and is the running coupling evaluated at the scale . is the unintegrated gluon distribution which describes the probability to find a gluon with a given and transverse momentum inside the nucleus. When , corresponds to the bremsstrahlung radiation spectrum and can be expressed as In the saturation regime, where is the nuclear overlap area.
Since the rapidity () and Bjorken variable are related by , the dependence of the gluon structure function translates into the following rapidity dependence of the saturation scale factor : Integrating over transverse momentum in (39) and (40), the rapidity distribution comes as follows [84]: where is energyindependent, , and are defined as the smaller (larger) value of (43); at , .
Since , we can rewrite (44) as follows [84]: with .
2.5. Model Based on the Percolation of Strings
The physical situation described by the Glasma, the system of purely longitudinal fields in the region between the parting hadrons, is analogous to that underlying in the string percolation model (SPM). In the SPM one considers Schwinger strings, which can fuse and percolate [85–88], as the fundamental degrees of freedom. The effective number of strings, including percolation effects, is directly related to the produced particle’s rapidity density. The SPM [89] for the distribution of rapidity extended objects created in heavyion collisions combines the generation of lower centerofmass rapidity objects from higher rapidity ones with asymptotic saturation in the form of the wellknown logistic equation for population dynamics: where is the particle density, is the beam rapidity, and . The variable plays the role of evolution time, parameter controls the low density evolution, and parameter is responsible for saturation. The dependent limiting value of , determined by the saturation condition , is given by , whereas the separation between the region (i.e., low density and positive curvature) and the region (i.e., high density and negative curvature) is defined by , which gives . Integrating (46) between and some , one can obtain [89] The particle density in SPM is proportional to (i.e., ); therefore we can write To be more specific regarding the quantities , , and , does not strongly depend on and the parameter is the normalized particle density at midrapidity and is related to gluon distribution at small ; that is, . As increases with rapidity , energy conservation arguments give with . Now (48) can be rewritten as The particle density is a function of both and the beam rapidity , whereas according to the hypothesis of limiting fragmentation, for larger than some dependent threshold, the density remains a function of only. In the Glauber model, energymomentum conservation constrains the combinatorial factors at low energy but in the framework of SPM energymomentum conservation is accounted by reducing the effective number of sea strings via where with which yields In the string percolation model (SPM), the charged particle multiplicity at midrapidity in protonproton interactions is given by [90] such that, for symmetric nucleusnucleus case, one has [90] Equation (54) involves three parameters, the normalization constant ; the threshold scale in ; the power . The values of fitting parameters obtained from the best fit to and data are , , and the threshold scale GeV. In the SPM, the power law dependence of the multiplicity on the collision energy is the same in and collisions.
The pseudorapidity dependence of collisions is given by [91] where is the Jacobian and .
3. Charged Hadron Multiplicity Distributions
Here, we discuss various observed features of the measured charged hadron multiplicity in hadronhadron, hadronnucleus, and nucleusnucleus interactions at different energies and their comparison in the view of the above mentioned models.
3.1. Mean Multiplicity as a Function of
Feynman was the first to point out that the multiplicity spectrum observed in protonproton collisions at asymptotically large energies becomes independent of the centerofmass energy as [92–94]. This assumption is known as Feynman scaling. He concluded this fact primarily based on the phenomenological arguments about the exchange of quantum numbers between the colliding particles. This energyindependent behaviour of the height of rapidity distribution around midrapidity naturally implies that the total multiplicity after integration over rapidity involves behaviour since , where is the nucleonmass. However up to GeV the experimental data does not indicate that the height of rapidity distribution around midrapidity (i.e, ) gets saturated. Thus, Feynman scaling is violated by continuous increase in the central rapidity density. Later on, it was realized that the gluons arising from gluonbremsstrahlung processes give QCDradiative corrections [95]. Recently, it was noticed by PHOBOS collaboration from the and/or data that central plateau height, that is, , grows as which in turn will give type behaviour in the total multiplicity [45, 96, 97]. Thus, the violation of Feynman scaling clearly indicates that this scaling type of behaviour is not supported by experiments. Based on the above findings, we have included behaviour as in (15) and have shown its applicability in describing the and data quite successfully for the available entire energy range till date.
In Figure 1, the inelastic (filled symbols) and nonsingle diffractive (NSD) data (open symbols) of charged hadron multiplicity in full phasespace for collisions at various centerofmass energies from different experiments, for example, ISR, UA5, and E735, is shown. Inelastic data at very low energies (filled symbols) are used because NSD data are not available for these energies and also the trend shows that the difference between inelastic and NSD data is very small at lower energies. Further, this data set is fitted with three different functional forms in order to make a simultaneous comparison with our parameterization as given in (15). The shortdashed line has the functional form as which is actually inspired by the FermiLandau model. It provides a reasonable fit to the data at higher with and [98]. However, since summarizes the leading particle effect also, its value should not be much larger than two. The dotted line represents the functional form as and it fits the data well at higher but shows a large disagreement with the experimental data at lower centerofmass energies with the values , , and , respectively. The dasheddotted line represents the form and it provides a qualitative description of the data with , , and [98]. The solid line represents the parametrization given by (15) according to [41]. In Figure 2, we present the inelastic (filled symbols) and nonsingle diffractive (NSD) data (open symbols) of at midrapidity for collisions at various centerofmass energies from different experiments, for example, ISR, UA5, E735, RHIC, and LHC [99–112]. Solid line represents the parameterization used in (19) according to [41]. DPM results [62] for charged hadron pseudorapidity densities are shown by the dasheddotted line for collisions. In DPM, at lower energies a larger value of multiplicities is obtained which is not supported by the experimental data which shows that a type of energydependent behaviour (shown by dashed line) for the entire range of energy including LHC energy fits the data well. The results on hadron production in collisions by using a saturation approach based on the CGC formalism are shown by the dotted line with error bands, while KLN model results are shown by dasheddotted line with same error bands [113]. Both approaches are based on factorization, while the main difference lies in determining the saturation scale for the nucleus [113].
Figure 3 shows the variation of mean multiplicity of charged hadrons produced in central AuAu collision with respect to . We also compare our model results (solid line) with the standard Glauber model (dashed line) and the modified Glauber model results (dashdotted line) [114] alongwith the experimental data of AGS and RHIC [115–117]. We would like to mention here the main difference between modified Glauber model and the standard Glauber calculation. In standard Glauber model, a participating nucleon can have one or more numbers of collision at the same and a constant value for is used in the calculation. However, in modified Glauber model, a participating nucleon loses a fraction of its momentum after the first collision and participates in subsequent collisions with somewhat lower energy and also a lower value of is used in the calculation. This modification suppresses the number of collisions significantly in comparison to that obtained in the standard Glauber model. We find that the results obtained in our model give a better description to the experimental data in comparison to the standard as well as modified Glauber model predictions [41]. This clearly shows the significance of the role played by quark degrees of freedom as used by us in our picture [41]. In Figure 4, the variations of mean multiplicity of charged hadrons produced in AuAu, CuCu, and PbPb collisions as a function of in the wounded quark model are shown alongwith the comparison of the experimental data [115–118].
3.2. Charged Hadron Multiplicity as a Function of Centrality
The total charged hadron multiplicity in hadronic collisions is of great significance as it provides a direct measure of the degrees of freedom released in the collision process. The role of the systemsize dependence on the particle production in high energy nuclear collisions is of prime interest and is mainly studied either by varying the size of the colliding nuclei or by varying the centrality of the collision event. This variation of the collision centrality directly affects the volume of the collision zone formed in the initial stage and it also affects the number of binary collisions suffered by each nucleon. Furthermore, the study of centrality dependence along with the varying collision energy also reflects the contribution of the soft and hard process involved in the particle production mechanism. In Figure 5, a compilation of the measured total charged hadron multiplicity as a function of centrality () in nucleusnucleus () collisions at varying energies is shown. Experimental data clearly shows a nontrivial growth of multiplicity with atomic number of colliding nuclei and also the multiplicity dependence on the collision centrality and energy is clearly visible. The main feature of total particle production in AuAu, CuCu, and PbPb collisions is a direct proportionality of the total charged hadron multiplicity to the number of pair of participant nucleons . This proportionality becomes stronger with the increase in collision energy (as observed in the form of increasing slopes of the curve) for each colliding system. Total multiplicity of charged hadron per participant pair as a function of centrality in Au, AuAu, and CuCu collisions at RHIC energies is shown in Figure 6. The total charged hadron multiplicity scales with in Au, AuAu, and CuCu collisions indicating that the transition between inelastic and collisions is not controlled simply by the number of participants, as even very central Au collisions do not show any sign of trending up towards the level of the AuAu data [125].
In Tables 1 and 2, the wounded quark model [41] results are organized in tabular form for ten centrality classes and are compared accordingly with the RHIC multiplicity data [120]. For suitable comparison of model results for most central (0–6%) case in AuAu and CuCu collisions, we have taken the average of the RHIC multiplicity data [120] of first two centrality bins (0–3% and 3–6%). In Table 1, there is a tabular representation of wounded quark model results for the total charged hadron multiplicities as a function of the centrality in AuAu collisions at three RHIC energies (, 130 and 200 GeV). We have also made a comparison with the experimental data [120] at the respective RHIC energies and found a reasonable agreement within experimental errors. Similarly in Table 2, wounded quark model results for the total charged hadron multiplicities as a function of the centrality in CuCu collisions at three RHIC energies (, 62.4, and 200 GeV) are shown and compared with the experimental data [120] at the respective RHIC energies. Thus, the centrality dependence of charged hadron production involving different colliding nuclei (AuAu and CuCu) at RHIC energies is well described by wounded quark model which clearly suggests that it can be used reliably in explaining the multiplicity data for other colliding nuclei too.


3.3. Charged Hadron Pseudorapidity Distributions
The pseudorapidity distribution of charged hadrons is another quantity in the studies of the particle production mechanism in high energy hadronhadron and nucleusnucleus collisions. Pseudorapidity density is a well defined quantity which is sensitive to the initial conditions of the system, that is, parton shadowing and the effects of rescattering and hadronic final state interactions. Figure 7 shows the pseudorapidity distributions of charged hadrons produced in the most central AuAu collisions over the entire range of at , 62.4, 130, and 200 GeV and in PbPb collisions at 2.76 TeV. CGC model results at 130 GeV, 200 GeV (for AuAu collisions), and 2.76 TeV (for PbPb collisions) [126] are shown with dotted lines. In this approach, the charged hadron pseudorapidity distributions in nucleusnucleus collisions are calculated within factorization. CGC model results show a good agreement for AuAu collisions at RHIC energies (130 GeV and 200 GeV), whereas for PbPb collisions at LHC energy near midrapidity it successfully reproduces the data within limited pseudorapidity range (). SPM results [91] are shown with dashed line for CuCu, AuAu, and PbPb collisions at different energies in Figures 7 and 8. In SPM approach, there are three different regions involved in pseudorapidity distribution. In the fragmentation regions, there are only strings involving valence quarks while in the central region there are additional short rapidity strings between quarks and antiquarks. The nonequilibrium statistical relativistic diffusion model (RDM) results [127] at RHIC and LHC energies are shown in Figure 7, which gives a reasonable description of data. In RDM there are also three sources, one at central rapidity and the two others in the fragmentation regions. Solid lines in Figures 7 and 8 are results obtained in the wounded quark model [41] for AuAu and CuCu collisions at RHIC energies and for PbPb collisions at LHC energy. Wounded quark model quite successfully explains the data on the pseudorapidity distribution for all the three colliding systems (AuAu, CuCu, and PbPb) at RHIC and LHC energies.
3.4. Central Pseudorapidity Density as a Function of as well as Colliding Nuclei
Pseudorapidity density of charged hadrons provides relevant information on the temperature () as well as the energy density of the QGP. Furthermore, the study of the dependence of charged hadron densities at midrapidity with the c. m. energy and system size can provide the relevant information on the interplay between hard partonparton scattering process and soft processes. At first sight, it looks logistic to consider the nucleusnucleus collision as an incoherent superposition of nucleonnucleon collisions as in the framework of wounded nucleon model approach. However, recent results on multiplicity data at RHIC and LHC energies for protonproton and nucleusnucleus collisions give an indication that nucleusnucleus collisions are not simply an incoherent superposition of the collisions of the participating nucleons as . It hints towards the role of multiple scattering in the nucleonnucleon collisions. Further, the scaling with number of binary collisions also does not seem to hold good as , which indicates the coherence effects involved in these collision processes [131]. At higher energies, the role of multiple scattering [132] becomes more significant in describing the nucleusnucleus collisions due to the contribution of hard processes. In Figure 9, the pseudorapidity densities of charged hadrons at midrapidity are shown with c. m. energy () for different colliding nuclei. Wounded quark model results (as obtained from (20)) which is based on the twocomponent model are shown along with the experimental data and are in quite good agreement. It clearly signifies the role of hard and soft processes involved in these collision processes. CGC model results for AuAu collisions is shown with dotted line [130].
3.5. and Scaling Observed in Charged Hadron Multiplicity
The energy dependence of the charged hadron pseudorapidity density at midrapidity normalized by the number of participant pairs for most central collision events is shown in Figure 10 for colliding systems of varying sizes. Energy dependence of normalized pseudorapidity is found to follow a logarithmic trend for collisions up to the highest RHIC energy of 200 GeV, which can be well explained as [118] However, the measurements in PbPb collisions at 2.76 TeV observed at LHC exceed the above logarithmic dependence. This logarithmic behaviour describes AuAu and PbPb data quite successfully with a little disagreement for CuCu data. A better description of the data for energy dependence in collision is given by the following relation [118, 133]: which is quite successful in describing the data at RHIC and LHC but fails to explain the lower energy data as it overestimates in lower energy region below 17.3 GeV [118]. SPM results are shown for AuAu and CuCu with dashed and dotted lines respectively. CGC and KLN model results are shown by dasheddotted and dotted lines with error bands [113].
In Figure 11, scaling behaviour of charged hadron pseudorapidity density at midrapidity is studied in wounded quark scenario over the entire range of energy starting from the lowest AGS energies GeV to the largest LHC energy TeV. Solid points in the figure are the experimental pseudorapidity density data at midrapidity normalized by the participating quarks calculated in wounded quark model. Open points are wounded quark model result which is well described by the following functional form: A little deviation from this functional form can be clearly seen for CuCu collisions at 19.6 and 62.4 GeV, which arises due to the difference in number of quark collisions from AuAu collisions at the same energy and signifies the role of hard processes involved.
3.6. Scaled Pseudorapidity Density in Collisions as a Function of Centrality
In heavyion collisions, nuclei being extended objects collide at various impact parameters depending on the degree or extent of overlap region of the two colliding nuclei. This degree or extent of overlap region formed during the collision is generally referred to as the degree of centrality of the interaction event. It serves as an appropriate tool to make the suitable comparison between the measurements performed in collider experiments and the theoretical calculations available till date. The midrapidity density of charged hadrons normalized to the number of participant pairs () with a variety of colliding systems (AuAu, CuCu, and PbPb) at different energies as a function of centrality () is shown in Figure 12. Geometrical scaling model of Armesto et al. [134] with a strong dependence of the saturation scale on the nuclear mass and collision energy explains the AuAu multiplicity data quite well and establishes a factorization of energy and centrality dependences in agreement with the data but at LHC energy (2.76 TeV) it predicts a rather weak variation with centrality. On the other hand, the string percolation model (SPM) [89, 90] driven by the same power law behaviour in both and collisions provides a suitable description of the existing multiplicity data at both RHIC (for CuCu and AuAu) and LHC (for PbPb) energies in a consistent manner. CGC model results at RHIC energies (130 and 200 GeV) and LHC energy (2.76 TeV) are shown in Figure 12 by dasheddotted line. Geometrical scaling (GS) model results [134–136] at RHIC energies and LHC energy (2.76 TeV) are shown in Figure 12 by dotted line.
4. Scaling Features of Charged Hadron Multiplicity in the High Energy Collision
Scaling laws in high energy collisions are of great importance as it describes the case where a physical quantity (observable) becomes solely dependent on a combination of certain physical parameters. Such a scaling law is often useful due to the fact that it can provide us with enough information about the underlying dynamics of the observed phenomenon in such collision processes, whereas the violation of the scaling law for a certain value of the scaling parameters will be a strong indicator of new physical phenomenon occurring in these collisions.
4.1. KNO Scaling
The energy dependence of the multiplicity distribution observed in high energy collision using a variety of colliding systems is one of the primary issues in the search for any systematics/scaling in multiparticle production. Based on the assumption of the Feynman scaling for the inclusive particle production crosssection at asymptotic energies Koba, Nielsen, and Olesen (KNO) in 1972 proposed scaling property for the multiplicity distribution at asymptotic energies [138], according to which the normalized multiplicity distributions of charged particles should become independent of asymptotic energies. According to KNO scaling, the probability to produce charged particles in the final states is related to a scaling function as follows [138]: where is universal function independent of energy and the variable stands for normalized multiplicity. and correspond to particle production and the total crosssection, respectively. Thus, the rescaling of measured at different energies via stretching or shrinking the axes by the average multiplicity leads to the rescaled curves coinciding with one another. However, the experimental data show only an approximate KNO scaling behaviour for multiplicity distributions in the different energy regions and hence Buras et al. [139] proposed modified KNO scaling in which variable . Here parameter depends solely on the reaction. In order to describe the properties of multiplicity distributions of final state particle at different energies, it is more convenient to study their moments. KNO scaling also implies that the multiplicity moments are energyindependent since where is the order of the moment.
Indeed, KNO scaling was found to be roughly valid up to the highest ISR energies [99, 140] but the violation of KNO scaling was first observed for the UA5 data of collisions at GeV [141] at the CERN collider which provoked a great deal of discussion among the physics community. A high multiplicity tail and a change of slope [102, 142] observed in the distribution were interpreted as evidence for multicomponent structure of the final state [143, 144]. Later on, a comparative study of charged particle multiplicity distributions [142] arising from nonsingle diffractive inelastic hadronic collisions at GeV to 1800 GeV including the data in UA5(SPS) and E735 (Tevatron) experiments again confirmed the deviations from the socalled KNO scaling behaviour in the form of a shoulder like structure that clearly appeared in the collider data. This shoulder like structure observed in the collider data arises due to the superposition of the distribution of the particles from some other process different from KNO producing process incoherently superimposed on the top of the KNO producing process [145]. A strong linear increase of the moments with energy and strong KNO scaling violation at TeV in form of the observed change of slope in confirm these earlier measurements. Recently, Capella and Ferreiro [65] have computed pp multiplicity distributions at LHC in the framework of a multiplescattering model (DPM) as shown in Figures 13 and 14. Multiplescattering models do not obey KNO scaling. Indeed, the multiple scattering contributions, which give rise to longrange rapidity correlations, become increasingly important when increases and since they contribute mostly to high multiplicities they lead to KNO multiplicity distributions that get broader with increasing . On the other hand, the Poisson distributions in the individual scatterings lead to shortrange rapidity correlations and give rise to KNO multiplicity distributions that get narrower with increasing . Due to the interplay of these two components the energy dependence of the KNO multiplicity distributions (or of its normalized moments) depends crucially on the size of the rapidity interval [146]. For large rapidity intervals the multiplescattering effect dominates and KNO multiplicity distributions get broader with increasing . For small intervals the effect of the shortrange component increases leading to approximate KNO scaling, up to . We have shown that the above features are maintained up to the highest LHC energy and that for a given pseudorapidity interval () the rise of the KNO tail starts at a value of that increases with energy.
All these observations and sizable growth of the measured nondiffractive inelastic crosssections with increasing energy clearly indicate the importance of multiple hard, semihard, and soft partonic subprocesses in high energy inelastic hadronic collisions [147–150].
4.2. Intermittency
A remarkably intense experimental and theoretical activity has been performed in search of scale invariance and fractality in soft hadron production processes. In this search, a lot of efforts have been performed by investigating all types of reactions ranging from annihilation to nucleusnucleus collisions at different energies. In this investigation, selfsimilarity (or intermittency) is a power law behaviour of a function of the form and thus it also gives the scaling property . Since the scaling is the underlying property of critical phenomena, it is natural to think of a phase transition wherever scaling (or selfsimilarity) is found. Selfsimilarity is also connected with a fractal pattern of the structure. Bialas and Peschanski [151, 152] introduced a formalism to study nonstatistical fluctuations as the function of the size of rapidity interval by using the normalized factorial moments of order . It is expected that scale invariance or fractality would manifest itself in power law behaviour for scaled factorial moments of the multiplicity distribution in such domain. Scaled factorial moment is defined as Similarly the scaled factorial moments are defined as where .
Intermittency is defined as the scale invariance of factorial moments with respect to changes in the size of phasespace cells or bins (say ), for small enough , or This gives the wide, nonstatistical fluctuations of the unaveraged rapidity distribution at all scales. Such a kind of behaviour is a manifestation of the scale invariance of the physical process involved. In Figures 15 and 16, the intermittent behaviour of charged hadrons produced in the nucleusnucleus interactions is shown in rapidity and azimuthalspace [153]. The slope () in a plot of versus at a given positive integer is called intermittency index or intermittency slope which provide us with an opportunity to characterize the apparently irregular fluctuations of the particle density. The term intermittency was chosen in analogy to the intermittent temporal and spatial fluctuations.
If there is no dynamical contribution to the multiplicity fluctuation, such as due to a phase transition or any other type of mechanism, should exhibit the Poisson distribution, reflecting only the statistical fluctuations. The strength of the dynamical fluctuation vary from one event to another event due to the difference in initial condition. In such case, would have no dependence on and therefore on phasespace bin (). The scaled factorial moments (SFMs) reduce the statistical noise which is present in event with finite multiplicity. Moreover, the method of SFMs is potentially suitable for investigating the multiparticle correlation on small scales.
A clear signal of the intermittency in data was observed for the first time by HRS results [154, 155], shortly followed by TASSO collaboration [156] at a centerofmass energy of about 35 GeV by performing the analysis in 1D (rapidity ()space) and 2D (rapidityazimuthal ()space). At LEP energies, the DELPHI [157], ALEPH [158], and OPAL [159] collaborations performed the intermittency analysis in 1D and 2D distributions. The LUND parton model (JETSET PS) predictions were also found to be consistent with the data. The CELLO collaboration analysed the 3D intermittency signal in annihilation and found good agreement with the LUND model. The hadronproton ( and ) collisions were analyzed by the NA22 collaboration. The data for collisions at 630 GeV were analyzed by the UA1 collaboration and an indication for the increase of the intermittency signal for the lowmultiplicity sample was found. A multichain version of DPM including minijet production was compared to NA22 and UA1 data but the slopes were found to be too small [160–162]. The NA22 group performed the analysis for hadronnucleus interactions and they found a weaker intermittency signal for large targets. The hadronnucleus and nucleusnucleus interactions were also studied by KLM collaboration in 1D and 2D phasespace. A decrease in the intermittency signal was observed for larger projectile nuclei and this decrease is smaller than that expected from the increase of the mean multiplicity in the collision. The EMU01 collaboration performed the intermittency analysis for different colliding systems and found a similar dependence. Further, the results for the SFMs in 3D spectra for , hadronproton, hadronnucleus, and nucleusnucleus collisions have shown that the dependence of the SFM on the resolution is stronger than a power law. The failure of Monte Carlo calculations to replicate the observed strength of the intermittency signal is quite evident in the nucleusnucleus interactions [163]. A deeper investigations on 1D, 2D, and 3D phasespace in different kinematic variables (, , and ) was performed by OPAL collaboration for high statistics study at LEP of up to the fifth order and down to very small bin sizes [164, 165]. Later on, it was shown that the negative binomial distribution (NBD) faces difficulties to describe the high statistics genuine multiparticle correlations and no one of the conventional multiplicity distributions, including NBD, can describe the high statistics data on intermittency of OPAL measurements [166, 167].
Here, we discuss some important systematics and regularities observed in recent years in this intermittency study. The phasespace density of multiparticle production is anisotropic, and the upward bending in the SFM plot is a direct consequence of this anisotropy [168, 169]. Thus, it is suggested that in the (2D) SFM analysis, the phasespace should be partitioned asymmetrically [170] for taking into account the anisotropy of the phasespace by introducing a “roughness” parameter called the Hurst exponent (). The Hurst exponent is calculated by fitting the (1D) SFM with the Ochs formula [171, 172]. For , the direction is partitioned into finer intervals than the direction; for , the viceversa is true,while means that the phasespace is divided similarly in both directions. Ochs and Wosiek [173] observed that 1D factorial moments, even if they do not strictly obey the intermittency power law over the full rapidity range, still obey the generalized power law where the function depends on the energy and the bin width . Eliminating yields the linear relation This relation is found to be well satisfied by the experimental data for various reactions. The dependence of on can be examined by establishing a connection between intermittency and multifractality [34]. The generalized Renyi dimensions () are related to as where is the topological dimension of the supported space and the anomalous dimensions are defined as If we plot the ratio of anomalous dimensions as a function of the order for various reactions, the dependence is claimed to be indicative of the mechanism causing intermittent behaviour and all points fall on a universal curve parameterized as The above parameterization has been derived by Brax and Peschanski [174] for a selfsimilar partonbranching process. () is called Levy stable index [175]. For (71) reduces to (70). The multifractal behaviour characterized by (70) and (71) reduces to a monofractal behaviour [176–178]. will imply an orderindependent anomalous dimension which will happen if intermittency was due to a secondorder phase transition [161]. Consequently, monofractal behaviour may be a signal for a quarkgluon plasma phase transition. A noticeable experimental fact that the factorial moments of different order follow simple relation (67) means that correlation functions of different orders are not completely independent but are interconnected in some way. Intermittency can be further studied in the framework of GinzburgLandau (GL) model as used to describe the confinement of magnetic fields into fluxoids in type II superconductor, according to which, the ratio should respect the relation with being a universal quantity independent of the underlying dimension. The value of was first derived analytically by Hwa and Nazirov [179] in GinzburgLandau model and was confirmed later in a laser experiment [180]. If there is any phase transition, it may not necessarily always be a thermal one as the new phase formed is not essentially characterized by the thermodynamical parameters. The possibility of the simultaneous existence of two nonthermal phases (in analogy to different phases of the spinglass) can be investigated by the intermittency parameter [175] In case of the existence of such different phases in a selfsimilar cascade mechanism, should have a minimum at some value . The region resembles liquid phase with a large number of small fluctuations and resembles dust phase with a small number of large fluctuations. Another way to measure the intermittency strength in terms of the intermittency index is the framework of a random cascading model like the model [181]. According to which the strength parameter is related to the Renyi dimensions as [182] A thermodynamic interpretation of multifractality can also be given in terms of a constant specific heat