Advances in High Energy Physics

Advances in High Energy Physics / 2015 / Article

Review Article | Open Access

Volume 2015 |Article ID 186812 | 24 pages | https://doi.org/10.1155/2015/186812

Balance Function in High-Energy Collisions

Academic Editor: Ming Liu
Received02 Jan 2015
Revised13 Mar 2015
Accepted16 Mar 2015
Published23 Apr 2015

Abstract

Aspects and implications of the balance functions (BF) in high-energy physics are reviewed. The various calculations and measurements depending on different quantities, for example, system size, collisions centrality, and beam energy, are discussed. First, the different definitions including advantages and even short-comings are highlighted. It is found that BF, which are mainly presented in terms of relative rapidity, and relative azimuthal and invariant relative momentum, are sensitive to the interaction centrality but not to the beam energy and can be used in estimating the hadronization time and the hadron-quark phase transition. Furthermore, the quark chemistry can be determined. The chemical evolution of the new-state-of-matter, the quark-gluon plasma, and its temporal-spatial evolution, femtoscopy of two-particle correlations, are accessible. The production time of positive-negative pair of charges can be determined from the widths of BF. Due to the reduction in the diffusion time, narrowed widths refer to delayed hadronization. It is concluded that BF are powerful tools characterizing hadron-quark phase transition and estimating some essential properties.

1. Introduction

The quark-gluon plasma (QGP), a state of matter created at 0.1–1 μs after the Big Bang, is believed to be discovered in the relativistic heavy-ion collider (RHIC) at BNL, ten years ago [15]. The heavy-ion program at the large hadron collider (LHC) at CERN was designed to explore, among others, the properties of QGP. In such sophisticated experimental facilities, the nucleus-nucleus collisions at ultrarelativistic energies are devoted to characterize the dynamical processes by which matter at extreme temperatures is produced and the fundamental properties that this matter exhibits. Over the last four decades, various high-energy experiments using nucleon and nucleus beams have been evaluated. Based on Bjorken model, the latter are likely able to produce a new-state-of-matter with partonic degrees of freedom, where quarks and gluons deconfine forming a state similar to the plasma state in atomic physics, thus called quark-gluon plasma (QGP). In early Universe, QGP is believed to entirely fill the cosmological background geometry. Furthermore, the extreme conditions available inside the cores of compact stars are likely able to compress the hadronic matter. Such extreme compression has the same effect as that of extreme temperature. Both are necessary to derive the confined hadrons into deconfined partons. The temporal and spatial evolution of hot matter till the creation of hadrons is sketched in Figure 1.

The discovery of QGP imposes extreme experimental and theoretical challenges and is a good example about physical problems which should wait even decades for their proper explanation [6]. One of the main QGP signatures is the suppression that was proposed in 1986 by Matsui and Satz [7]. During three decades, the theoretical interpretation is still under debate [810]. Other challenges can be summarized as follows.(i)Mechanism of the elliptic flow: there is an unconfirmed point-of-view about the scaling of constituent quarks, which is still not perfect because the results are not dealing directly with the constituents quarks [11].(ii)Lattice QCD results predicted two orders for phase transition(s). It is argued that a first-order phase transition is likely in system consisting of two flavors while a second-order one is likely in the three-flavor system. Furthermore, a smooth cross-over was seen in the QCD simulations. Linking such theoretical predictions with the experimental results would be possible through varying the critical temperature. For instance. at low temperature, the matter is confined, that is, hadronic phase, while at high temperature, QGP phase is likely [12].(iii)The strangeness enhancement at alternating gradient synchrotron (AGS) is found larger than that at super proton synchrotron (SPS), which obviously seems to weaken the concept of strangeness enhancement as a signal of QGP [13]. Nevertheless, the search for enhancement at RHIC and LHC energies should be continued.(iv)The estimation of the time span till equilibration refers to very small value (~10 fm/c). Thus, the evolution of the equilibrated states cannot be evident [14]. Thus, it would not be possible to assure that the hadronic phase was originated in a partonic state (prior to hadronization) [14]. The situation becomes more drastic at RHIC and LHC energies. The critical and freeze-out temperatures become almost indistinguishable [14].

The balance functions (BF) were proposed by Bass et al. [15] as a measure for the correlation of the positive and negative charged particles produced during the relativistic heavy-ion collisions. Their width can be related to the hadronization time. The charge correlation functions which are devoted to study the jets hadronization [16] are used to derive BF. So far they have been estimated in pp collisions at intersecting storage rings (ISR) [1719], annihilation at PETRA at DESY [2024], Au+Au, in STAR experiment at BNL RHIC [25], and Pb+Pb in NA49 experiment at CERN SPS [26, 27]. Due to charge conservation, oppositely charged particles are produced in pairs. But the produced pairs are separated in the rapidity region due to their different momenta. This implies that BF can be extracted from the fact that the pairs of opposite charges are created in the local space. This idea defines how to proceed with the measurement of balance between produced pairs.

The different heavy-ion experiments can be differentiated according to the collision energy or nucleon-nucleon (NN) center-of-mass energy [46], the system size, and type of reactants whether being elementary, NN, or nucleus-nucleus (AA) collisions where is the longitudinal momentum and is the transverse mass. The Lorentz boosts are the transformations with respect to one of three dimensions taking as the frame of reference. At ultrarelativistic energies, it is convenient to deal with the pseudorapidity, , which is defined in analogy to , (1): where is the angle of emitted particles relative to the beam axis.

The present work is organized as follows. Section 1 presents a general overview about the history of QGP. Section 2 is devoted to the various definitions of BF. The experimental measurements will be discussed in Section 3. Section 4 discusses some effective models used to calculate BF in high-energy physics. Finally, Section 5 presents the discussion and conclusions.

2. Definitions

In relativistic heavy-ion collisions, it is assumed that many produced particles of different charges expand in temporal and spatial dimensions [39]. Due to charge conservation, both positive and negative charges have to be produced in the same space-time during the evolution of the medium. The correlation between the opposite charges is characterized through BF, which apparently measure the balance between both types of charges [47]. In early studies, Bass et al. [15] have proposed that BF are signatures differentiating between early- and late-stage of the hadronization. The balance functions are proposed to work as a “clock” determining whether the quark production occurred at early times,  fm/c, or at late-stage [15]. For charges created in the early stage, balancing charges are separated by the order of one unit of rapidity, while those formed in a late stage are far from the correlation. Delayed hadronization means that the QGP stays for a long time. This implies that the QGP might be formed at a certain time before the evolution of the hot matter. In principal, BF were proposed to investigate the hadronization from jets production in proton-proton collisions [17, 18]. In a series of papers [17, 18, 48], BF were associated with charge correlations.

Furthermore, the conditional probability is the probability that an event will occur under some conditions, while another event is predicted to occur or to have occurred [49]. According to the conditional probability, a particle with charge produced within a rapidity interval should be accompanied by another particle with charge separated from by a specified rapidity difference or . The balance functions are defined as the linear combination of these conditional probabilities [49]. In terms of different quantities such as azimuthal angle , rapidity difference , pseudorapidity difference , and invariant momentum , BF can be expressed, (3) [28, 30].(i)The balance functions are defined as [15] where is the conditional probability of finding particle of type in a bin at momentum accompanied with another particle in a bin with momentum . and are two types/variables like positive and negative charges. For all charged hadrons, BF should be normalized in order to highlight the charge conservation condition.In terms of rapidity distributions, the balance functions can be defined as [39] where denotes the number of charged particle pair (momenta of the observed positive and negative charges). In a similar way, the number of positive (negative) pair charges for the different distributions reads , and .In an equivalent expression, BF can be given as [50] where and refer to the single and double (pair) particle functions. In literature, the distribution of double and single particle is expressed in different forms or in which and are the positive and negative charges [30].(a)Rapidity dependence [50]:where is the particle density. Some remarks on the STAR measurements, for instance, for the charge balance functions, are now in order. The rapidity acceptance ranges between and and the pseudorapidity differences are kept constant while the pairs of produced particles are detected. In this regard, notations like , were introduced [50].(b)Momentum dependence [30]: where where or are the single particle distribution function and is the two-particle (joint) momentum distribution.The joint momentum distributions, , can be classified into quark-antiquark, quark-quark, or antiquarks created pairs. These distributions are the product of the corresponding single particle momentum distribution [30], where and are the quarks flavors. The subscripts, and , refer to the quark-pair, antiquark-pair, or quark-antiquark pair. The distribution of the quark-antiquark is given asThe single particle distribution for bosons and fermions reads [46] where the dispersion relation reads , , the fugacity , and is a Lagrange multiplier related to the conservation of the number of members of the ensemble. In the same matter, the single particle distribution for antiquarks can be expressed in terms of With this regard, the following frames should be defined:(1)laboratory frame is the inertial reference frame with the coordinates , , , and ;(2)comoving frame: at a time , this is the inertial frame in which the accelerated observer is instantaneously at rest at . Thus the term “comoving frame” refers to a different frame at each .It is argued that the physical quantities which are significant and meaningful are the ones corresponding to the laboratory frame. This means that the quantities are conserved only with respect to laboratory frame, because the comoving frame is an accelerated reference frame [51]. In comoving frame, the single particle momentum distribution for quarks or antiquarks in Boltzmann limit is given as [30]where astride refers to the quantities in the comoving frame. (ii)Uniform binning: for charge the multiplicity can be determined from , where is the rapidity axis of the bin with the acceptance . The bin size is and the bin number is . The total multiplicity reads [49]The bin counts represent integrals of the formwhere is the number density of a single-particle distribution determined from the histogram of the ensemble averages and . Thus, BF are defined as [49] where and delta functions indicate the cancellation of self-pair distributions.(iii)Conditional probabilities: the single- and two-point probabilities can be given in terms of the joint multiplicity In statistics and probability theory, the Bayes theorem shows the importance of the mathematical manipulation of the conditional probabilities. The Bayesian probability is one of different interpretations of probability and belongs to evidential probabilities. In an ensemble, the Bayes theorem givesThis is the conditional probability that predicted that a particle with charge occupies the th bin while the th bin is occupied by another particle with charge as determined by the joint distribution .Regarding balance functions, the conditional probability is defined as where .

2.1. Angular Correlation

For odd-parity observables in STAR experiment at RHIC, large fluctuations have been observed [52, 53]. These fluctuations are supposed to arise from the color flux tubes, which carry both kinds of color charges, that is, color-electric and color-magnetic flux. The color flux tubes generate electric field with random signs [29]. The electric field fluctuates as , where is the number of tubes. The correlation between positive and negative charges are conjectured to includ large fluctuations from odd-parity. Obviously, both types of charges should be produced at same space-time coordinates. In other words, both charges should have the same rapidity and azimuthal angle in the collective flow. Such correlations can be described by BF. The correlations can be expressed as [29] where and is the fraction of charge. Momentum conservation means , . The correlations are shown in Figure 2 in dependence on the collision centrality.

When the momentum , the correlation can be written as [29]Here, is fraction of the momentum balance and sums over positive, negative, and neutral charges. The fluctuations are essential in estimating the electric field in the initial conditions, which is found 10% of the magnetic field. Thus, the charge and momentum conservation should be attributed to the correlation with one unit of rapidity, while the fluctuations for the initial conditions are found with several units of rapidity.

2.2. Advantages of Balance Functions

In light of the various definitions of BF, Section 2, different advantages can be listed out.

(i) Charge-Density Balance. Instead of determining the net-charge density, it is advantageous to study the associated charge density balance [17].

(ii) Associated Charge-Density Distributions. The charge-density balance allows us to select out the associated charge density distributions and the correlated fractions [17]. The associated charge-density balance has a further advantage. This is less sensitive to the acceptance corrections than the associated charge density, itself. Taking the trigger of a large transverse momentum event as the selected particle(s), the dependence of the associated charge-density balance on the rapidity of other particles was presented in [17].

(iii) Relative Distance. The balance functions are able to measure the relative distance between the positive and negative charges produced in heavy-ion collisions. In the same way, they can be applied to the baryon and antibaryons and so forth.

(iv) Charge Fluctuation. The charge fluctuations which occur in heavy-ion collisions are related to the charge-balance functions. So that, it is very important to study the evolution of state of matter created during the collision. This can be done by calculating the charge correlations in dependence on the rapidity.

(v) Width of Balance Functions. The production time of the positive-negative pair of charges can be determined by studying widths of BF in terms of the rapidity [38]. It is argued that narrowed balance functions are considered as probes of delayed hadronization, due to the reduction in the diffusion time. This implies long-lived stage before hadronization. In other words, this might refer to delayed hadronization [54].

(vi) Rapidity Correlation. One of the most important features of the balance functions is the boost invariance variable such as rapidity. The rapidity correlations describe what so-called the conditional probability. This estimates the probability of the charge produced in a rapidity bin associated to the opposite charge in the other rapidity bin. Rapidity and pseudorapidity were given in (1) and (2), respectively. Both act as measure for the speed.

(vii) Probing Hadron- and QGP-Formation. One of the signatures for the QGP formation is the sudden drop in the balance function width [55]. On the other hand, having an access to the occurrence of quark-pairs can be utilized as a signature for the hadron formation or hadron diffusion.

2.3. Short-Comings of Balance Functions

The balance functions can have some short-comings.

(i) Binning Geometry and Bayes Theorem. The conditional probability is not a true probability. Using it leads to contradiction between the binning geometry and Bayes theorem [49].

(ii) Nonstandard Normalization. The normalization of BF is not standard one [49].

(iii) Length Scale Inconsistency. It is argued that in nucleus-nucleus collisions the production of pair separation length at the formation stage is zero [15]. This is not compatible with the fragmentation scenario [49]. In the thermal and diffusion process of elementary particle collisions, the hadron diffusion is negligible, while the correlation length that would be charge-dependent is larger [49].

3. Experimental Measurements

The experimental features of NA22 [56] and STAR experiments [57] were essential to enable both of them analyzing the characteristics of BF [15, 28], which can be used as effective probes for the phase transition in heavy-ion collisions and collisions at ISR and PETRA energies [58]. Many measurements for the dependence of BF on the collision centrality [35], the system size [2527], and the transverse momentum [57] have been conducted. All properties mentioned above which can be categorized under what so-called the longitudinal boost invariance are very useful in studying BF. The boost invariance means that the single particle density will be independent of the rapidity. Therefore, it is essential to study BF in terms of rapidity in order to investigate the boost invariance. The widths of balance functions get narrower by increasing the window size [30]. This relation can be formulated from the following relation:

3.1. Various Measurements

One can categorize the experimental measurements [54] according to the type of the reaction and the dependence of the quantities of common interest.(i)The type of the reaction whether nuclei, hadron, or hadron-nuclei interaction: the hadron-hadron collisions like positive pion and kaon , at  GeV in NA22 experiment were introduced in [56]. This experiment can compromise the full momentum and azimuthal acceptance, so that one can very well determine the properties of BF.(ii)The dependence on the rapidity (pseudorapidity) and the window size: the window size can be arbitrary but it should be restricted by the rapidity range. Figure 3 shows BF in terms of the rapidity positions and at different window sizes [30].(iii)Multiplicity dependence: it is found that as the system size becomes large (in central collisions), most of QGP signatures can be observed [28]. Due to the difficulty of the experimental determination of the collision centrality, we are left with the Monte-Carlo simulations to play this role. Therefore, the multiplicity of observed particles can be correlated to the collision centrality [28]. The balance functions are integrated for all events (multiplicities) in the pp collisions and plotted in Figure 4, which shows the dependence on the integrated over all multiplicities at  GeV [28].(iv)Beam energy dependence: Figure 5 shows the dependence of BF on the center-of-mass energy ranging from 7.7 to 200 GeV [28]. The figure shows the relation between BF and pseudorapidity for the most central collisions 0–5%. It is to be noticed that BF behave as well at different energies. The data from STAR is narrower than the shuffled results.(v)Correlation: the balance functions of charge correlations and fluctuations depend on the charges square [56, 59, 60]:where and . For hadron gas while , for QGP.Furthermore,whereThen the -measure for fluctuation can be written asThe correlations of all charges are conjectured to combine with BF,(vi)Centrality dependence: BF have been studied at different collision centralities and noticed that they coincide but the width changes due to the different positions of the rapidity ranges , , , and [28]. Shuffled data and mixed collisions are analyzed, as well. For mixed collisions, the balance functions are zero at all the nine centrality bins, Figure 6.(vii)Transverse momentum dependence: BF can also be studied in terms of the difference of momenta (invariant) of the produced particles, that is, . In a Gaussian-like form,This was implemented for charged kaons from Au+Au collisions at  GeV in different centrality bins. The mixed events were abstracted from these balance functions. The solid curves are the one calculated from (28). In [28], the authors stated that the peaks observed in each curve are due to the decay of ; Figure 7 shows these relations.

3.2. Confronting to STAR Experiments

Measuring BF dates back to 2003, where the STAR experiment announced its first measurements [25].

3.2.1. System Size and Centrality Dependence

The balance functions were measured in various system sizes, for example Au+Au at  GeV in the STAR experiment [54] and Pb+Pb collisions at  GeV in the ALICE experiment at LHC [37]. Also the width of BF was measured in Pb+Pb, C+C, and Si+Si collisions at , 17.2 GeV at SPS [16]. It was observed that BF behave as well in both the central and peripheral collisions but the widths change. This behavior was investigated at different pseudorapidity windows [54]. The width of BF is considered as a timometer for the hadronization. It was observed that the narrowing of BF in central collisions is more than in peripheral collisions [37] and this agrees well with the theoretical results [37] for late hadronization or long-lived QGP. In Au+Au collisions at  GeV, it was concluded that increasing the centrality and the transverse momentum decreases the width of BF [54] due to the radial flow [54]. The dependence of balance functions on the mean number of wounded nucleons was studied [27]. A strong centrality dependence was found in pp collisions and width of decreases with increasing centrality of Pb+Pb collisions [27].

3.2.2. Chemical Evolution of QGP

In heavy-ion collisions, it is conjectured that the creation of quarks occurs in specific space-time, while the antiquarks may occupy the same coordinates [33]. This would mean that the charge balance functions can identify the location of the balancing for the produced hadron [55]. Then, the rapidity distribution of the balancing charges can be observed for any pair flavors [55]. Therefore, the charge correlation function can be analysed even in the QGP medium [55]. Obviously, BF can be related to the correlation function [55]. In order to determine BF for different particle species (hadrons), the longitudinal position in the Bjorken coordinates, in which the charge density is depending, should be analyzed [33]. The correlations from charge conservation should be affected by the time of creation of charge-anticharge pairs [47]. By analysing correlations from STAR experiment for different particle species, Pratt [55] distinguished the two separate waves of charge creation expected in high-energy collisions, one at early times when the QGP should be formed and a second at hadronization. Further, the density of up, down, and strange quarks was extracted in QGP and found in agreement with predictions for a chemically thermalized plasma (at a level of 20%).

In relativistic heavy-ion collisions, thousands of hadrons are created. For every quark flavor detected in the final state like , , and quarks, there should be antiquarks , , and , too. Such quark correlations are defined as [33]where is the net-charge of , , and quarks within the volume . For a parton gaswhere , are densities for and quarks and their antiquarks, respectively. For a noninteracting hadron gas, the correlation is defined aswhere is the charge of type and is the particle type. The correlations for different species were calculated by lattice gauge theory [31, 32], Figure 8.

The correlation of hadrons is given as [33]The balance functions should be related to that correlationwhere is the hadron species and is the number per rapidity of that species. Therefore, BF for identified pair of species can be calculated [33].

3.2.3. Dependence on Beam Energy and Reaction Plane

Information on the creation of hot and dense matter can be extracted by studying the correlations and fluctuations [34]. The balance functions can directly measure the correlations between negative and positive charge pairs [34]. They are sensitive to the changes in the formation or diffusion processes of the balancing charges [34]. If the hadronization process delays, the particle and antiparticle are correlated due to the conservation of the charge [34]. In addition to that, the reaction plane would play a vital role as BF depend on the azimuthal angle,where is the total number of +ve and (−ve) particles. is total number of positive particles with azimuthal angle with respect to the reaction plane and the negative particles with with respect to the positive one [34]. The width of BF is given as

Figure 9 shows the widths of BF in terms of the pseudorapidity, , and azimuthal angle, , in dependence on the participant particles and the center-of-mass energy, respectively. The calculations are compared with the STAR data for the most central events (0–5%) of Au+Au collisions at , 62.4, 39, 11.5, and 7.7 GeV. It can be concluded that the narrower width indicates an early hadronization time, while a wider one indicates the diffusion after the freeze-out [34]. Also, it is noticed that the dependence of identified kaons on the centrality is weak in contrast to the pions [34] indicating that the kaons are likely produced in very early stage of the collision.

3.3. Confronting to ALICE Experiment
3.3.1. Energy Dependence

When comparing the results given in [35, 37] with each other, one finds that in [37] the width of the balance functions is studied in terms of the pseudorapidity and . For a better comparison with STAR results, ALICE measurements were corrected for acceptance and detector effects. So that, terms should be correctedIt is obvious that the BF width is narrower at LHC than at RHIC energies, Figure 10.

On the other hand, Figure 11 represents and as function of the average number of participant particles, from peripheral to central collisions. The dependence on the number of participants is appropriate choice for scaling to the centrality classes.

4. Effective Model Calculations

4.1. Coalescence Model

One of the strongest signatures for QGP [61] is the suppression of charmonium system as measured in Pb+Pb collisions [62]. The quark coalescence from deconfined quarks to produce charmed hadrons can be best described by the algebraic coalescence model for rehadronization of charmed quark matter (ALCOR). The number of produced hadrons is given by the number of quarks or antiquarks, which mainly are the compositions of those hadrons multiplied by the coalescence coefficient and the nonlinear normalization coefficient , in which the latter indicates the conservation of the quark number during the quark coalescence [63]. The ALCOR model begins with the valence quarks and antiquarks that create the final hadron-state in thermal equilibrium [64]. In the ALCOR model, meson and baryon coalescence coefficients are represented by and , respectively, where , , and refer to the quark species numbers. Also a normalization factor and spin degeneracy factor can be introduced in this model, where is the hadron spin. Thus, the number of a certain type of meson that has flavors and is given as [64]where and are the number of quarks and antiquarks [65] and and are the corresponding parameters, respectively. The number of a certain baryon with flavors , , and is given bywhere and are the number of quarks and antiquarks of type , for instance. One can reformulate (39) as sum over , , and for each hadron from to flavors. So that, in ALCOR model one can calculate the hadron multiplicity and compare between the model and the experimental results [65, 66].

Changing linear to nonlinear rehadronization coalescence model is doable. The linear coalescence model is based on the counting of quarks and the determination of probabilities in the heavy-ion collisions. It was assumed [67] that the number of produced particles is directly proportional to the product of constituent quarks in the reaction volume [68], The antiparticles are straightforwardly constructed [68],

The coalescence model can be used to predict the small width of the baryon-antibaryon BF [50]. It is observed that in the central heavy-ion collision at RHIC energies [25], the hadron constituents of quarks which are described by coalescence model [63] can explain the small pseudorapidity width of BF. Furthermore, the coalescence concept would explain cluster from pairs of charges,For the above processes, the momentum distribution for the two particles can be written as [50]where and are the momenta of the two clusters. The momenta of quarks and antiquarks are and , respectively. is the distribution of clusters and and are the cluster dissociation probabilities of finding a quark or antiquark of momentum and/or in the cluster, respectively. is the coalescence probability, in which the quark-antiquark pair coalesce to create a hadron.

Similarity, the distribution of baryon and antibaryon “three particles” distribution can be written aswhich is valid for each quark and antiquark [64]. This sums over the different number of flavors so that the number of quarks and antiquarks of type is given by and , respectively,

The calculation of BF in the coalescence model has the ability to explain the small pseudorapidity width of BF observed for central heavy-ion collisions [63], where the parameter . For uncorrelated decay, .

4.2. Thermal Resonances

As discussed in previous sections, the STAR analysis of balance functions is based on multiplicities [25]where counts the opposite-charge pairs having rapidity relative to , at , and BF of all changed hadrons are normalized to unity. The separation of balancing charges at kinetic freeze-out is studied [69]. To characterize the possible contributions, we highlight that the BF have two types of contributions corresponding to two different mechanisms of their creation. The resonances may come up with an additional contribution. The decay channels of neutral hadronic resonances likely lead to pairs. Also, a nonresonance contribution is related to other correlations among the charged particles. The two opposite-charge particles are produced at the same space-time coordinates with thermal velocities. A neutral resonance ends up as a pair, where, as in the nonresonance mechanism of charge balancing, a charged pion can be balanced with another charged hadron, not necessarily a pion [38]. In light of this, the balance functions can constructed asThe resonance contribution is obtained from the expressions describing the phase-space of the pions emitted in a decay [38]. The calculation in the neutral clusters model [63] does not depend on the correlations between the clusters, themselves. But they are determined by the single-particle distribution, or by two-particle distribution in which the pair of particles can be formed from one cluster and others from different clusters [63]. Replacing the neutral clusters by the neutral resonances in order to obtain the two-particle rapidity distribution of the pairs stemming from the decay of a neutral resonance, then the two-particle pion momentum distribution in two-body resonance decay can be expressed by Dirac functionwhere , , and are total momentum, momentum of positive pion, and momentum of negative pion, respectively, and the is the branching ratio. The normalization factor is given by [38]The correlation between nonresonance pions is not specified by the model introduced in [38]. It is assumed that the creation of an opposite pair occurs in the fireball cylinder; that is, the two charges have the same longitudinal and transverse collective velocity [38]. The results are shown in Figure 12. The calculations for four different centrality windows are compared to the STAR data [25].

4.3. Statistical and Dynamical Model

At top RHIC energies, an energy density can be as high as 10 GeV/fm3. Apparently, this would cover a volume of several hundred fm3 in the Au+Au collisions [25]. Therefore, quark and gluon degrees of freedom provide a description of the microscopic motion for several fm/c, until the matter expands and cools down till the hadronic degrees of freedom become appropriate [39]. The conversion from partonic to hadronic degrees of freedom accompanied by increasing production of quark antiquark pairs on the entropy stored in gluons and quarks is converted to hadrons, each of which has at least two quark. The change in the degrees of freedom accompanying the hadron-quark phase transition was revised in [7075]. There newly created charges are more correlated to their anticharges than pairs created early [39]where and are “the extra particle of the opposite charge with momentum given the observation of the first particle with momentum ” as stated in [39] and +/− indices refer to particles or antiparticles, respectively. The balance functions are designed as measure for the probability of observing an extra particle with opposite charge and momentum gives the observation of the first particle with momentum . refers to a particle observed anywhere in the detector, and refers to either the relative rapidity or the relative momentum . The STAR measurements were performed for all charged particles as functions of relative pseudorapidity and for identical poins as functions of relative rapidity [25]. The behavior of the balance function is compared between the STAR data [25] and the one calculated from the microscopic hadronic simulations, RQMD (relativistic quantum molecular dynamic) [76]. Figure 13 has shown the balance functions from RQMD for p+p and Au+Au collisions compared to the STAR data [25].

4.4. Thermal Blast-Wave Model

The dynamical evolution of the system created in heavy-ion collisions can also be studied in the blast-wave model [77], which describes the kinetic freeze-out properties, in which the particles are thermalized at the kinetic freeze-out temperature [28]. The creation of particles in a very hot and dense matter has the features of explosion [78]. The explosion wave called blast wave due to sequential collisions. The hot and dense medium would be anisotropic so that the velocity of the particles is also anisotropic [78]. Finally, the net-flow of velocity can be estimated [78]. The model has eight parameters, , , , , , , , and , where , , and are the radii of the transverse shape and the temperature, respectively. is the surface diffuseness parameters. and are the radial and ansiotoropy flow parameters, respectively. The schematic diagram, Figure 14, shows the elliptic flow with and [40].

In principal, the thermal models can divide the balancing charges into resonant and nonresonant contributions [38]. The resonant contribution is dominated by the decays of the hadron resonances to create in the most final state [38], while nonresonant contribution is dominated by other process or correlations between charges. Accordingly, BF can be expressed as [38]where and is the window size ranging from 1 to 4. The resonant contribution can be estimated from the cluster model [63]. While the nonresonant contribution can not be determined specifically. Bożek et al. [38] proposed a form in which the charge-anticharge pair is created in a fireball cylinder [38]. BF calculated due to resonance and nonresonance contributions [38] replace the neutral cluster [63] by neutral resonances. Then, the two-particle rapidity distribution for pair, for instance, pion pair, is obtainedThe nonresonant rapidity distribution is given as

From (52) and (53), the resonance and nonresonance BF for pion pairs can be calculated, in which . The resonance and nonresonance balance functions are given in Figure 15.

In heavy-ion collisions, the quarks and gluons are under collective expansion; that is, geometric asymmetry of plane of the interaction can be studied as anisotropic flow, while the second coefficient is called the elliptic flow [40]. These contributions are Fourier expansion of the differential distributionThe Fourier decomposition is given as [79]where is the directed flow, is the elliptic flow, and is the real reaction plane [79]. The elliptic flow is essential probe to studying the evolution of the strongly interacting system and the flow fluctuations and balancing between created charges [8082].

An extended blast wave model was introduced in order to investigate the effect of flow, in which a combination of elliptic flow with the transverse mass spectra and the two-charge correlation was introduced [79]. This blast wave model describes a specific particle elliptic flow that emitted through an finite thin shell. In order to determine the size of pions produced in the reaction, the model has to be extended through a filled cylinder. The significant idea of the extended blast-wave model is to describe the system in the freeze-out conditions in terms of the elliptic flow and temperature [83]. Some new parameters concerning the geometry of the system were introduced, as well [84, 85]. The new parameterization interprets the transverse mass spectra as mentioned above. The probabilities of emitting particles in the space-time with momentum can be written as [83]where is the step function modelling the confinement of the system in the filled ellipse. The spatial and azimuthal momentum are and , respectively. The earlier gives the radii of the system in-plane while the latter gives the out-of-plane. Figure 16 shows BF calculated in the blast-wave model compared with STAR data at different azimuthal angles [34], while Figure 17 shows the blast-wave model calculations compared with midcentral, peripheral, and central collisions from STAR data [25].

For completeness, we add that the evolution of the system till the final state would be more convenient to be studied by the Hanbury Brown-Twiss (HBT) interferometry [8688]. In that case, measured single- and two-particle correlations are essential inputs [89, 90]. The probability for a joint observation of the two quanta with momenta and and the correlation function are also studied [89].

4.5. Glue Cluster Model

The experimental results, for instance, from STAR [25, 35, 91] and NA49 [26, 27], should be understood that the charges are produced in a late stage of the hadronization process, that is, in freeze-out region [92]. This means that QGP mostly consisted of gluons, as well. The widths of BF in the central and peripheral collisions are different and also they are different from AA and pp collisions. It is argued that the system would need more correlations in the QGP phase exhibiting a clustering behavior. So that the glue clusters can explain the correlations in QGP. In momentum space, the width of BF can be determined by the short-range correlations as proposed by the STAR experiment [35]. It is believed that the small or narrow width of BF indicate how late is the stage of hadronization. Apparently, this was also measured by the STAR experiment and expected from different models like the coalescence model. The clusters decay to gluons and quark-antiquark pair, for instance, to up and antiup quarks. Both quarks should attempt to recombine again forming pions or any other kind of mesons. The cluster decay distribution is given byThe decay width . Thus, the width of BF can be affected also by the transverse flow. The clusters are isotropic in their rest frame. However after the transverse flow of clusters they become no longer isotropic.

4.6. UrQMD

The ultrarelativistic quantum molecular dynamics (UrQMD) model is a microscopic model used to simulate (ultra)relativistic heavy-ion collisions in the energy range from Bevalac to LHC. Main goals are to gain better understanding about the following physical phenomena within a single transport model:(i)creation of dense hadronic matter at high temperatures,(ii)properties of nuclear matter, delta and resonance matter,(iii)creation of mesonic matter and of antimatter,(iv)creation and transport of rare particles in hadronic matter,(v)creation, modification, and destruction of strangeness in matter,(vi)emission of electromagnetic probes.

Figures 18 and 19 show the balance function widths for pions and kaons and also the widths in terms of , , and , respectively, All are compared to the STAR data for Au+Au collision at 200 GeV. Filtered HIJING calculations, Section 4.7, are also shown for the widths of BF from pp and Au+Au collisions.

4.7. HIJING

The heavy ion jet interaction generator (HIJING) was developed by Gyulassy and Wang [93] with special emphasis on the role of minijets in proton-proton, proton-nucleus, and nucleus-nucleus interactions at collider energies. The perturbative QCD predicts jet production from parton scatterings in high energy hadronic interactions. It is therefore expected that hard or semihard parton scatterings with transverse momentum of a few GeV are expected to dominate high energy heavy ion collisions. The HIJING code has been widely distributed to experimental groups preparing for RHIC and LHC. HIJING is also used to investigate two effects, gluon shadowing, and jet quenching, in heavy ion collisions at RHIC [42]. The study of pA and AA collisions is required to separate between the two effects at RHIC. Therefore, the conclusions from such study will investigate the new physics of the gluon structure of nuclei and the energy loss in QGP. As introduced, the BF width in the rapidity representation can be defined as

HIJING can establish the existence of QGP by the simulation and extracting BF. But, HIJING lacks the collective flow description, so that generation of the balance function widths by HIJING is larger than that measured in experiments. Figure 20 represents the balance function widths from HIJING and the multitransport (AMPT) model with the data from ALICE [37]. Figure 21 [28] compares between BF calculated from HIJING and blast-wave model. The detailed HIJING results are discussed in [47].

4.8. PYTHIA

The PYTHIA is designed to generate high-energy-physics “events,” that is, sets of outgoing particles produced in the interactions between two incoming particles. The objective is to provide as accurate as possible a representation of event properties in a wide range of reactions, within and beyond the Standard Model, with emphasis on those where strong interactions play a role, directly or indirectly, and therefore multihadronic final states are produced [94]. The PYTHIA 5.72 is an event generator; one can study the proton-proton collision events that are generated at different center of mass (c.m.) energies [45]. This can be shown clearly at different energies in Figure 22 [45]. Then the width of BF can be studied for different multiplicity bins.

The results presented in [28, 54] show that the string fragmentation implemented in PYTHIA describes the production particles and their charge balance functions. They deduced from measured at six different windows; for the six windows coincides with each other. It was shown that the scaled balance functions is corresponding to BF in the whole pseudorapidity range [54].

4.9. AMPT Model

A multiphase transport (AMPT) is a Monte Carlo transport model for heavy ion collisions at relativistic energies written in FORTRAN 77. It uses HIJING for generating the initial conditions, Zhang’s Parton Cascade (ZPC) for modelling the partonic scatterings, and a relativistic transport (ART) model for treating hadronic scatterings. The AMPT model consists of four parts [95], the initial conditions which are obtained from HIJING, partonic interactions, the transition from the partonic case to the hadronic matter case, and hadronic interactions. AMPT model uses the coalescence model to coalesce partons to create hadrons.

It was shown in [54] that BF do not depend on the size and position of the windows and are consistent with the results of pp in PYTHIA. The charge balance functions are boost-invariance in both hadron-hadron and nuclear interaction. The boost invariance can scale BF with the window size within the whole range of the rapidity. Therefore, BF are good measures free from the restriction of finite longitudinal acceptance. The dependence on transverse momentum of the longitudinal property of balance functions is a sensitive probe for charge balance in hadronization mechanism.

5. Discussion and Conclusions

The main topics of this review are the study of correlations between opposite-sign charge pairs. Together with the particle-ratio fluctuations these can provide a powerful tool to probe dynamics and properties of QGP beside hadronization and particle production. It has been suggested that the existence of a QCD phase transition would cause an increase and divergence of fluctuations. Thus the fluctuations could be used to study various particle/charge fluctuations near the QCD critical end point (CEP). On the other hand, BF, which measure the correlations between opposite-sign charge pairs, is sensitive to the mechanisms of charge formation and the subsequent relative diffusion of the balancing charges. Their study can provide information about charge creation time as well as the subsequent collective behavior of particles.

In this review, we have attempted to explain most of the important aspects of BF in high-energy physics. The various definitions are introduced and confronted to different experimental measurements and the effective models. The essential points we focused on is BF including the advantages and short-comings. Then, we have discussed the various experimental measurements depending on different quantities, for example, the system size, centrality, and the beam energy. The theoretical models describing and calculating BF have been discussed.

Three main results can be extracted from this review. First, BF have been calculated in terms of rapidity, window size, and pseudorapidity as given in Figure 3. Second, BF in terms of the reaction centrality and the beam energy (center-of-mass energy) are shown in Figures 5 and 6. Third, BF in terms of the invariant momentum are also studied. BF were measured in various system sizes, for example, Au+Au at  GeV in the STAR experiment [54] and Pb+Pb collisions at  GeV in the ALICE experiment [37]. Also the width of BF was measured in Pb+Pb, C+C, and Si+Si collisions at and 17.2 GeV at SPS [16]. The calculations from different effective models have been calculated and compared with the data, Figures 12, 13, and 17. Recent results depending on the system size and centrality for all charged particles have been studied at  GeV for p-p, C-C, Si-Si, and Pb-Pb collisions [26, 27, 35]. The dependence on the rapidity and the beam energies are also studied [35, 96]. While HIJING and UrQMD models fail to reproduce the narrowing in the balance function width observed [35], AMPT does. The net-charge fluctuations are studied at LHC [97] for event-by-event net-charge fluctuations in terms of the pseudorapidity and azimuthal angle in Pb-Pb collisions at  TeV. The balance functions confronted to the STAR results show that the quark chemistry can be determined. The results agree within 20% with the expectations [33]. This provides quantitative highlights on the chemical evolution of the QGP, for example, the femtoscopy of two-particle correlations. This study should be extended with new experiment results from STAR, ALICE, CMS, and ATLAS [33].

The main conclusions can be summarized as follows:(i)the effective models are well suited to calculate the balance functions,(ii)the most important quantities are the rapidity and pseudorapidity,(iii)the balance functions are very sensitive to the interaction centrality but not for the beam energy,(iv)the balance function width seems to be related to the hadronization time,(v)the balance functions can estimate the hadronization time from the jets production in p+p collision,(vi)the phase transition from hadron to quark matter and the properties of such matter, the correlations between charge, and anticharge can be studied, directly.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

References

  1. M. Gyulassy, “The QGP discovered at RHIC,” in Proceedings of the NATO Advanced Study Institute: Structure and Dynamics of Elementary Matter, Kemer, Turkey, October 2003, http://arxiv.org/abs/nucl-th/0403032. View at: Google Scholar
  2. K. Adcoxbd, S. S. Adlere, S. Afanasiev et al., “Formation of dense partonic matter in relativistic nucleus-nucleus collisions at RHIC: experimental evaluation by the PHENIX Collaboration,” Nuclear Physics A, vol. 757, no. 1-2, pp. 184–283, 2005. View at: Publisher Site | Google Scholar
  3. B. B. Back, M. D. Baker, M. Ballintijn et al., “The PHOBOS perspective on discoveries at RHIC,” Nuclear Physics A, vol. 757, no. 1-2, pp. 28–101, 2005. View at: Publisher Site | Google Scholar
  4. J. Adams, M. M. Aggarwala, Z. Ahammed et al., “Experimental and theoretical challenges in the search for the quark–gluon plasma: the STAR Collaboration's critical assessment of the evidence from RHIC collisions,” Nuclear Physics A, vol. 757, pp. 102–183, 2005. View at: Publisher Site | Google Scholar
  5. I. Arsene, I. G. Bearden, D. Beavis et al., “Quark-gluon plasma and color glass condensate at RHIC? The perspective from the BRAHMS experiment,” Nuclear Physics A, vol. 757, no. 1-2, pp. 1–27, 2005. View at: Publisher Site | Google Scholar
  6. D. Blaschke and C. Peña, “Quarkonia and QGP studies,” Nuclear Physics B—Proceedings Supplements, vol. 214, no. 1, pp. 137–142, 2011. View at: Publisher Site | Google Scholar
  7. T. Matsui and H. Satz, “J/ψ suppression by quark-gluon plasma formation,” Physics Letters B, vol. 178, no. 4, pp. 416–422, 1986. View at: Publisher Site | Google Scholar
  8. R. Rapp, D. Blaschke, and P. Crochet, “Charmonium and bottomonium in heavy-ion collisions,” Progress in Particle and Nuclear Physics, vol. 65, no. 2, pp. 209–266, 2010. View at: Publisher Site | Google Scholar
  9. N. Brambilla, S. Eidelman, B. K. Heltsley et al., “Heavy quarkonium: progress, puzzles, and opportunities,” The European Physical Journal C, vol. 71, article 1534, 2011. View at: Publisher Site | Google Scholar
  10. M. Bedjidian, D. Blaschke, G. T. Bodwin et al., “Hard probes in heavy ion collisions at the LHC: heavy flavour physics,” http://arxiv.org/abs/hep-ph/0311048. View at: Google Scholar
  11. S. A. Voloshin, “Anisotropic flow at RHIC: constituent quark scaling,” Journal of Physics: Conference Series, vol. 9, no. 1, article 276, 2005. View at: Publisher Site | Google Scholar
  12. C.-Y. Wong, “Signatures of quark-gluon plasma phase transition in high-energy nuclear collisions,” Nuclear Physics A, vol. 681, no. 1–4, pp. 22–33, 2001. View at: Google Scholar
  13. M. I. Gorenstein, “Quark-gluon plasma signatures in nucleus-nucleus collisions at CERN SPS,” Acta Physica Hungarica, Series A: Heavy Ion Physics, vol. 14, no. 1–4, pp. 141–148, 2001. View at: Google Scholar
  14. I. Arsenej, I. G. Bearden, D. Beavis et al., “Results from the first 3 years at RHIC managed for the U.S. Department of Energy by Brookhaven Science Associates, a company founded by Stony Brook University and Battelle,” 2005. View at: Google Scholar
  15. S. A. Bass, P. Danielewicz, and S. Pratt, “Clocking hadronization in relativistic heavy-ion collisions with balance functions,” Physical Review Letters, vol. 85, no. 13, pp. 2689–2692, 2000. View at: Publisher Site | Google Scholar
  16. P. Christakoglou, A. Petridis, and M. Vassiliou, “Energy and rapidity dependence of electric charge correlations at 20–158 GeV beam energies at the CERN SPS (NA49),” Published in the Proceedings of the ISMD05, http://arxiv.org/abs/nucl-ex/0510045. View at: Google Scholar
  17. D. Drijard, H. G. Fischer, W. Geist et al., “Quantum number effects in events with a charged particle of large transverse momentum: (II). Charge correlations in jets,” Nuclear Physics B, vol. 166, no. 2, pp. 233–242, 1980. View at: Publisher Site | Google Scholar
  18. D. Drijard, H. G. Fischer, R. Gokieli et al., “Density, charge and transverse momentum correlations of particles in non-diffractive proton-proton collissions at s=52.5 GeV,” Nuclear Physics B, vol. 155, no. 2, pp. 269–294, 1979. View at: Publisher Site | s=52.5 GeV&author=D. Drijard&author=H. G. Fischer&author=R. Gokieli et al.&publication_year=1979" target="_blank">Google Scholar
  19. I. V. Ajinenko, S. G. Baladyan, Y. A. Belokopytov et al., “Charge and energy flow in π+p, K+p and pp interactions at 250 GeV/c,” Zeitschrift für Physik C: Particles and Fields, vol. 43, pp. 37–44, 1989. View at: Google Scholar
  20. R. Brandelik, W. Braunschweig, K. Gather et al., “Evidence for charged primary partons in e+e-2 jets,” Physics Letters B, vol. 100, pp. 357–363, 1981. View at: Publisher Site | e+e-2%20jets&author=R. Brandelik&author=W. Braunschweig&author=K. Gather et al.&publication_year=1981" target="_blank">Google Scholar
  21. M. Althoff, R. Brandelik, W. Braunschweig et al., “Charged hadron composition of the final state in e+e annihilation at high-energies,” Zeitschrift für Physik C Particles and Fields, vol. 17, no. 1, pp. 5–15, 1983. View at: Publisher Site | Google Scholar
  22. H. Aihara, M. Alston-Garnjost, D. H. Badtke et al., “Observation of strangeness correlations in e+e annihilation at s=29 GeV,” Physical Review Letters, vol. 53, no. 23, pp. 2199–2202, 1984. View at: Publisher Site | s=29%20GeV&author=H. Aihara&author=M. Alston-Garnjost&author=D. H. Badtke et al.&publication_year=1984" target="_blank">Google Scholar
  23. H. Aihara, M. Alston-Garnjost, R. E. Avery et al., “Study of baryon correlations in e+e annihilation at 29 GeV,” Physical Review Letters, vol. 57, p. 3140, 1986. View at: Publisher Site | Google Scholar
  24. P. D. Acton, G. Alexander, J. Allison et al., “Evidence for chain-like production of strange baryon pairs in jets,” Physics Letters B, vol. 305, pp. 415–427, 1993. View at: Publisher Site | Google Scholar
  25. J. Adams, C. Adler, Z. Ahammed et al., “Narrowing of the balance function with centrality in Au+Au collisions at sNN=130 GeV,” Physical Review Letters, vol. 90, Article ID 172301, 2003. View at: sNN=130%20GeV&author=J. Adams&author=C. Adler&author=Z. Ahammed et al.&publication_year=2003" target="_blank">Google Scholar
  26. C. Alt, T. Anticic, B. Baatar et al., “System size and centrality dependence of the balance function in A+A collisions at sNN=17.2 GeV,” Physical Review C, vol. 71, Article ID 034903, 2005. View at: Publisher Site | A+A%20collisions%20at%20sNN=17.2 GeV&author=C. Alt&author=T. Anticic&author=B. Baatar et al.&publication_year=2005" target="_blank">Google Scholar
  27. P. Christakoglou, A. Petridis, and M. Vassiliou, “System size and centrality dependence of the electric charge correlations in A+A and p+p collisions at the SPS energies,” Nuclear Physics A, vol. 749, pp. 279–282, 2005. View at: Publisher Site | Google Scholar
  28. H. Wang, Study of particle ratio fluctuations and charge balance functions at RHIC [Ph.D. thesis], Michigan State University, 2013, http://arxiv.org/abs/1304.2073.
  29. S. Pratt, “Alternative contributions to the angular correlations observed at RHIC associated with parity fluctuations,” http://arxiv.org/abs/1002.1758. View at: Google Scholar
  30. J. Song, F.-L. Shao, and Z.-T. Liang, “Quark charge balance function and hadronization effects in relativistic heavy ion collisions,” Physical Review C, vol. 86, no. 6, Article ID 064903, 9 pages, 2012. View at: Publisher Site | Google Scholar
  31. S. Borsanyi, Z. Fodor, S. D. Katz, S. Krieg, C. Ratti, and K. Szabo, “Fluctuations of conserved charges at finite temperature from lattice QCD,” Journal of High Energy Physics, vol. 2012, no. 1, article 138, 2012. View at: Google Scholar
  32. C. Ratti, R. Bellwied, M. Cristoforetti, and M. Barbaro, “Are there hadronic bound states above the QCD transition temperature?” Physical Review D, vol. 85, no. 1, Article ID 014004, 8 pages, 2012. View at: Publisher Site | Google Scholar
  33. S. Pratt, “Viewing the chemical evolution of the Quark-Gluon plasma with charge balance functions,” Proceedings of ‘Critical Point and the Onset of Deconfinement’, Napa, Calif, USA, March 2013. View at: Google Scholar
  34. H. Wang, “Reaction plane and beam energy dependence of the balance function at RHIC,” Journal of Physics: Conference Series, vol. 316, Article ID 012021, 2011. View at: Publisher Site | Google Scholar
  35. M. M. Aggarwal, Z. Ahammed, A. V. Alakhverdyants et al., “Balance functions from Au+Au, d+Au, and p+p collisions at sNN=200 GeV,” Physical Review C, vol. 82, no. 2, Article ID 024905, 16 pages, 2010. View at: Publisher Site | Au+Au,%20d+Au,%20and%20p+p%20collisions%20at%20sNN=200 GeV&author=M. M. Aggarwal&author=Z. Ahammed&author=A. V. Alakhverdyants et al.&publication_year=2010" target="_blank">Google Scholar
  36. S. Jeon and S. Pratt, “Balance functions, correlations, charge fluctuations, and interferometry,” Physical Review C, vol. 65, no. 4, Article ID 044902, 6 pages, 2002. View at: Publisher Site | Google Scholar
  37. B. Abelev, J. Adam, D. Adamová et al., “Charge correlations using the balance function in Pb-Pb collisions at sNN=2.76 TeV,” Physics Letters B, vol. 723, no. 4-5, pp. 267–279, 2013. View at: Publisher Site | sNN=2.76%20TeV&author=B. Abelev&author=J. Adam&author=D. Adamová et al.&publication_year=2013" target="_blank">Google Scholar
  38. P. Bożek, W. Broniowski, and W. Florkowski, “Balance functions in a thermal model with resonances,” Acta Physica Hungarica Series A, Heavy Ion Physics, vol. 22, no. 1-2, pp. 149–157, 2005. View at: Publisher Site | Google Scholar
  39. S. Cheng, S. Petriconi, S. Pratt et al., “Statistical and dynamic models of charge balance functions,” Physical Review C—Nuclear Physics, vol. 69, no. 5, Article ID 054906, 2004. View at: Publisher Site | Google Scholar
  40. F. Retiere and M. A. Lisa, “Observable implications of geometrical and dynamical aspects of freeze-out in heavy ion collisions,” Physical Review C, vol. 70, no. 4, Article ID 044907, 33 pages, 2004. View at: Publisher Site | Google Scholar
  41. J. Adams, C. Adler, and M. M. Aggarwal, “Identified particle distributions in pp and Au+Au collisions at sNN=200 GeV,” Physical Review Letters, vol. 92, no. 11, Article ID 112301, 6 pages, 2004. View at: Publisher Site | pp%20and%20Au+Au%20collisions%20at%20sNN=200 GeV&author=J. Adams&author=C. Adler&author=&author=M. M. Aggarwal&publication_year=2004" target="_blank">Google Scholar
  42. X.-N. Wang and M. Gyulassy, “HIJING 1.0: a Monte Carlo program for parton and particle production in high energy hadronic and nuclear collisions,” Computer Physics Communications, vol. 83, no. 2-3, pp. 307–331, 1994. View at: Publisher Site | Google Scholar
  43. X.-N. Wang and M. Gyulassy, “Hijing: a Monte Carlo model for multiple jet production in pp, pA, and AA collisions,” Physical Review D, vol. 44, no. 11, pp. 3501–3516, 1991. View at: Publisher Site | Google Scholar
  44. B. Zhang, C. M. Ko, B.-A. Li, and Z. Lin, “Multiphase transport model for relativistic nuclear collisions,” Physical Review C, vol. 61, Article ID 067901, 2000. View at: Publisher Site | Google Scholar
  45. J. Du, N. Li, and L. Liu, “Narrowing of the charge balance function and hadronization time in relativistic heavy-ion collisions,” Physical Review C, vol. 75, Article ID 021903, 2007. View at: Publisher Site | Google Scholar
  46. J. Letessier and J. Rafelski, Hadron and Quark-Gluon Plasma, Cambridge University Press, Cambridge, UK, 2004.
  47. S. Cheng, Modelling relativistic heavy-ion collisions [Ph.D. thesis], Michigan State University, 2002.
  48. D. Drijard, H. G. Fischer, W. Geist et al., “Quantum number effects in events with a charged particle of large transverse momentum: (I). Leading particles in single and diquark jets,” Nuclear Physics B, vol. 156, no. 2, pp. 309–327, 1979. View at: Publisher Site | Google Scholar
  49. T. A. Trainor, “What does the balance function measure?” http://arxiv.org/abs/hep-ph/0301122. View at: Google Scholar
  50. A. Bialas and J. Rafelski, “Balance of baryon number in the quark coalescence model,” Physics Letters B, vol. 633, no. 4-5, pp. 488–491, 2006. View at: Publisher Site | Google Scholar
  51. J. E. Morel and J. D. Edwards, “The comoving-frame and laboratory-frame nonequilibrium grey radiation diffusion approximations in the nonrelativistic limit,” in Proceedings of the Conference on Numerical Methods for Multimaterial Fluid Flows, Prague, Czech Republic, September 2007. View at: Google Scholar
  52. B. I. Abelev, M. M. Aggarwal, Z. Ahammed et al., “Azimuthal charged-particle correlations and possible local strong parity violation,” Physical Review Letters, vol. 103, Article ID 251601, 2009. View at: Publisher Site | Google Scholar
  53. B. I. Abelev, M. M. Aggarwal, Z. Ahammed et al., “Observation of charge-dependent azimuthal correlations and possible local strong parity violation in heavy ion collisions,” Physical Review C, vol. 81, Article ID 054908, 2010. View at: Publisher Site | Google Scholar
  54. N. Li, Azimuthal anisotropy and longitudinal property of charge balance function in relativistic heavy ion collisions [Ph.D. thesis], Huazhong Normal University, Wuhan, China, 2010.
  55. S. Pratt, “General charge balance functions: a tool for studying the chemical evolution of the quark-gluon plasma,” Physical Review C, vol. 85, no. 1, Article ID 014904, 11 pages, 2012. View at: Publisher Site | Google Scholar
  56. M. R. Atayan, Y. Bai, E. A. de Wolf et al., “Boost invariance and multiplicity dependence of the charge balance function in π+p and K+p collisions at s=22 GeV,” Physics Letters B, vol. 637, no. 1-2, pp. 39–42, 2006. View at: Publisher Site | π+p%20and%20K+p%20collisions%20at%20s=22%20GeV&author=M. R. Atayan&author=Y. Bai&author=E. A. de Wolf et al.&publication_year=2006" target="_blank">Google Scholar
  57. L. Zhiming, L. Na, L. Lianshou, and W. Yuanfang, “Pseudorapidity and transverse momentum dependence of charge balance in Au-Au collisions at sNN=200 GeV,” International Journal of Modern Physics E, vol. 16, no. 10, pp. 3347–3354, 2007. View at: Publisher Site | sNN=200%20GeV&author=L. Zhiming&author=L. Na&author=L. Lianshou&author=&author=W. Yuanfang&publication_year=2007" target="_blank">Google Scholar
  58. N. Li, Z. Li, and Y. Wu, “Longitudinal boost invariance of the charge balance function in hadron-hadron and nucleus-nucleus collisions,” Physical Review C, vol. 80, Article ID 064910, 2009. View at: Publisher Site | Google Scholar
  59. S. Jeon and V. Koch, “Event-by-event fluctuations,” Review for ‘Quark-Gluon Plasma 3’, eds. R.C. Hwa and X.-N. Wang, World Scientific, Singapore, http://arxiv.org/abs/hep-ph/0304012. View at: Google Scholar
  60. H. Tydesj, Net-charge fluctuations in ultra-relativitic nucleus-nucleus collisions (Licentiate thesis), Lund University, 2003.
  61. P. Lévai, T. S. Biró, T. Csörgo, and J. Zimányi, “Simple predictions from ALCORc for rehadronization of charmed quark matter,” New Journal of Physics, vol. 2, article 32, 2000. View at: Publisher Site | Google Scholar
  62. M. C. Abreau, B. Alessandro, and C. Alex, “J/ψ and Drell-Yan cross-sections in Pb-Pb interactions at 158 GeV/c,” Physics Letters B, vol. 410, no. 2–4, pp. 327–336, 1997. View at: Publisher Site | J/ψ%20and%20Drell-Yan%20cross-sections%20in%20Pb-Pb%20interactions%20at%20158 GeV/c&author=M. C. Abreau&author=B. Alessandro&author=&author=C. Alex&publication_year=1997" target="_blank">Google Scholar
  63. A. Bialas, “Balance functions in coalescence model,” Physics Letters B, vol. 579, no. 1-2, pp. 31–38, 2004. View at: Publisher Site | Google Scholar
  64. T. S. Biro, P. Levai, and J. Zimanyi, “ALCOR: a dynamical model for hadronization,” Physics Letters B, vol. 347, no. 1-2, pp. 6–12, 1995. View at: Google Scholar
  65. J. Zimanyi, T. S. Biro, T. Csorgo, and P. Levai, “Particle spectra from the ALCOR model,” Acta Physica Hungarica New Series Heavy Ion Physics, vol. 4, no. 1–4, pp. 15–32, 1996. View at: Publisher Site | Google Scholar
  66. T. S. Biro, P. Levai, and J. Zimanyi, “Strange hadrons from the ALCOR rehadronization model,” in Proceedings of the Workshop on Strangeness in Hadronic Matter (Strangeness '95), vol. 340 of AIP Conference Proceedings, p. 405, Tucson, Ariz, USA, 1995. View at: Google Scholar
  67. A. Bialas, “Quark model and strange baryon production in heavy ion collisions,” Physics Letters B, vol. 442, no. 1–4, pp. 449–452, 1998. View at: Publisher Site | Google Scholar
  68. J. Zimányi, T. S. Biró, T. Csörgő, and P. Levai, “Quark liberation and coalescence at CERN SPS,” Physics Letters B, vol. 472, no. 3-4, pp. 243–246, 2000. View at: Publisher Site | Google Scholar
  69. S. Schlichting and S. Pratt, “Charge conservation at energies available at the BNL relativistic heavy ion collider and contributions to local parity violation observables,” Physical Review C, vol. 83, Article ID 014913, 2011. View at: Publisher Site | Google Scholar
  70. A. N. Tawfik, “Equilibrium statistical-thermal models in high-energy physics,” International Journal of Modern Physics A, vol. 29, no. 17, Article ID 1430021, 2014. View at: Publisher Site | Google Scholar | MathSciNet
  71. F. Karsch, K. Redlich, and A. Tawfik, “Hadron resonance mass spectrum and lattice QCD thermodynamics,” The European Physical Journal C, vol. 29, pp. 549–556, 2003. View at: Publisher Site | Google Scholar
  72. F. Karsch, K. Redlich, and A. Tawfik, “Thermodynamics at non-zero Baryon number density: a comparison of lattice and Hadron resonance gas model calculations,” Physics Letters B, vol. 571, pp. 67–74, 2003. View at: Publisher Site | Google Scholar
  73. K. Redlich, F. Karsch, and A. Tawfik, “Heavy-ion collisions and lattice QCD at finite baryon density,” Journal of Physics G: Nuclear and Particle Physics, vol. 30, no. 8, pp. S1271–S1274, 2004. View at: Publisher Site | Google Scholar
  74. A. Tawfik, “QCD phase diagram: a comparison of lattice and hadron resonance gas model calculations,” Physical Review D, vol. 71, Article ID 054502, 2005. View at: Publisher Site | Google Scholar
  75. A. Tawfik, “Influence of strange quarks on the QCD phase diagram and chemical freeze-out,” Journal of Physics G: Nuclear and Particle Physics, vol. 31, no. 6, pp. S1105–S1110, 2005. View at: Publisher Site | Google Scholar
  76. H. Sorge, H. Stocker, and W. Greiner, “Poincaré invariant Hamiltonian dynamics: modelling multi-hadronic interactions in a phase space approach,” Annals of Physics, vol. 192, pp. 266–306, 1989. View at: Publisher Site | Google Scholar
  77. C. Adler, Z. Ahammed, C. Allgower et al., “Identified particle elliptic flow in Au+Au collisions at sNN=130 GeV,” Physical Review Letters, vol. 87, Article ID 182301, 2001. View at: Publisher Site | Au+Au%20collisions%20at%20sNN=130%20GeV&author=C. Adler&author=Z. Ahammed&author=C. Allgower et al.&publication_year=2001" target="_blank">Google Scholar
  78. P. J. Siemens and J. O. Rasmussen, “Evidence for a blast wave from compressed nuclear matter,” Physical Review Letters, vol. 42, no. 14, pp. 880–883, 1979. View at: Publisher Site | Google Scholar
  79. R. Snellings, “Elliptic flow: a brief review,” New Journal of Physics, vol. 13, Article ID 055008, 2011. View at: Publisher Site | Google Scholar
  80. M. Miller and R. Snellings, “Eccentricity fluctuations and its possible effect on elliptic flow measurements,” http://arxiv.org/abs/nucl-ex/0312008. View at: Google Scholar
  81. P. Sorensen, “Elliptic flow: a study of space-momentum correlations in relativistic nuclear collisions,” review article written for the QGP4 book edited by Rudy Hwa and Xin-Nian Wang, http://arxiv.org/abs/0905.0174. View at: Google Scholar
  82. R. A. Lacey, R. Wei, J. Jia, N. N. Ajitanand, J. M. Alexander, and A. Taranenko, “Initial eccentricity fluctuations and their relation to higher-order flow harmonics,” Physical Review C, vol. 83, Article ID 044902, 2011. View at: Publisher Site | Google Scholar
  83. F. Retiere, “Two-particle correlations in sNN=130 GeV,” in Proceedings of the International Workshop on the Physics of the Quark-Gluon Plasma, Palaiseau, France, September 2001. View at: sNN=130 GeV&author=F. Retiere" target="_blank">Google Scholar
  84. Y. M. Sinyukov, S. V. Akkelin, and N. Xu, “Final conditions in high energy heavy ion collisions,” Physical Review C—Nuclear Physics, vol. 59, no. 6, pp. 3437–3440, 1999. View at: Publisher Site | Google Scholar
  85. E. Schnedermann, J. Sofffrank, and U. Heinz, “Thermal phenomenology of hadrons from 200A GeV S+S collisions,” Physical Review C, vol. 48, p. 2462, 1993. View at: Publisher Site | Google Scholar
  86. R. Hanbury Brown and R. Q. Twiss, “LXXIV. A new type of interferometer for use in radio astronomy,” Philosophical Magazine, vol. 45, no. 366, pp. 633–682, 1954. View at: Publisher Site | Google Scholar
  87. R. H. Brown and R. Q. Twiss, “Correlation between photons in two coherent beams of light,” Nature, vol. 177, pp. 27–29, 1956. View at: Publisher Site | Google Scholar
  88. R. Hanbury Brown and R. Q. Twiss, “A test of a new type of stellar interferometer on Sirius,” Nature, vol. 178, no. 4541, pp. 1046–1048, 1956. View at: Publisher Site | Google Scholar
  89. S. S. Padula, “HBT interferometry: historical perspective,” Brazilian Journal of Physics, vol. 35, no. 1, pp. 70–99, 2005. View at: Publisher Site | Google Scholar
  90. U. Heinz, “Hanbury Brown-Twiss interferometry in high energy nuclear and particle physics,” Overview talk given at CRIS'98 (Catania, June 8–12, 1998) Singapore, http://arxiv.org/abs/hep-ph/9806512. View at: Google Scholar
  91. B. I. Abelev, M. M. Aggarwal, Z. Ahammed et al., “Longitudinal scaling property of the charge balance function in Au+Au collisions at View the MathML source sNN=200 GeV,” Physics Letters B, vol. 690, pp. 239–244, 2010. View at: Publisher Site | sNN=200%20GeV&author=B. I. Abelev&author=M. M. Aggarwal&author=Z. Ahammed et al.&publication_year=2010" target="_blank">Google Scholar
  92. A. Bialas, “Balance functions reexamined,” Physical Review C, vol. 83, Article ID 024914, 2011. View at: Publisher Site | Google Scholar
  93. X.-N. Wang, “A pQCD-based approach to parton production and equilibration in high-energy nuclear collisions,” Physics Reports, vol. 280, no. 5-6, pp. 287–371, 1997. View at: Publisher Site | Google Scholar
  94. T. Sjostrand, S. Mrenna, and P. Skands, “PYTHIA 6.4 physics and manual,” Journal of High Energy Physics, vol. 2006, no. 5, article 026, 2006. View at: Publisher Site | Google Scholar
  95. Z.-W. Lin, C. M. Ko, B.-A. Li, B. Zhang, and S. Pal, “Multiphase transport model for relativistic heavy ion collisions,” Physical Review C, vol. 72, Article ID 064901, 2005. View at: Publisher Site | Google Scholar
  96. C. Alt, T. Anticic, B. Baatar et al., “Rapidity and energy dependence of the electric charge correlations in A+A collisions from 20A to 158A GeV,” Physical Review C, vol. 76, Article ID 02914, 2007. View at: Google Scholar
  97. M. Weber, “Net-charge fluctuations and balance functions at the LHC,” Nuclear Physics A, vol. 904, pp. 467c–470c, 2013. View at: Google Scholar

Copyright © 2015 A. Tawfik and Asmaa G. Shalaby. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The publication of this article was funded by SCOAP3.

1304 Views | 430 Downloads | 3 Citations
 PDF  Download Citation  Citation
 Download other formatsMore
 Order printed copiesOrder