Properties of Particle Production and System Evolution in BESWide Energy Range
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Bushra Ali, Shaista Khan, Shakeel Ahmad, "Contributions of Jets in Net Charge Fluctuations from the Beam Energy Scan at RHIC and LHC", Advances in High Energy Physics, vol. 2019, Article ID 6034981, 14 pages, 2019. https://doi.org/10.1155/2019/6034981
Contributions of Jets in Net Charge Fluctuations from the Beam Energy Scan at RHIC and LHC
Abstract
Dynamical net charge fluctuations have been studied in ultrarelativistic heavyion collisions from the beam energy scan at RHIC and LHC energies by carrying out the hadronic model simulation. Monte Carlo model, HIJING, is used to generate events in two different modes, HIJINGdefault with jet quenching switched off and jet/minijet production switched off. A popular variable, , is used to study the net charge fluctuations in different centrality bins and the findings are compared with the available experimental values reported earlier. Although the broad features of net charge fluctuations are reproduced by the HIJING, the model predicts the larger magnitude of fluctuations as compared to the one observed in experiments. The role of jets/minijets production in reducing the net charge fluctuations is, however, distinctly visible from the analysis of the two types of HIJING events. Furthermore, and scaling is partially exhibited, which is due to the fact that, in HIJING, nucleusnucleus collisions are treated as multiple independent nucleonnucleon collisions.
1. Introduction
The interest in the studies involving eventbyevent fluctuations in hadronic (hh) and heavyion (AA) collisions is primarily connected to the idea that the correlations and fluctuations of dynamical origin are associated with the critical phenomena of phase transitions and leads to the local and global differences between the events produced under similar initial conditions [1, 2]. Several different approaches have been made to investigate the eventbyevent fluctuations in hh and AA collisions at widely different energies, for example, multifractals [3–5], normalized factorial moments [6], erraticity [4, 7], korder pseudorapidity spacing [8, 9], and transverse momentum() spectra. Furthermore, eventbyevent fluctuations in the conserved quantities, like strangeness, baryon number, and electric charge, have emerged as new tools to estimate the degree of equilibration and criticality of the measured system [10]. Experiments such as RHIC and LHC are well suited for the study of these observables [10, 11].
Eventbyevent fluctuations of net charge of the produced relativistic charged particles serve as an important tool to investigate the composition of hot and dense matter prevailing in the “fireball”, created during the intermediate stage of AA collisions, which, in principle, can be characterized in the framework of QCD [11]. It has been argued that a phase transition from QGP to normal hadronic state is an entropy conserving process [12] and, therefore, the fluctuations in net electric charge will be significantly reduced in the final state in comparison to what is envisaged to be observed from a hadron gas system [13, 14]. This is expected because the magnitude of charge fluctuations is proportional to the square of the number of charges present in the system which depends on the state from which charges originate. In a system passing through QGP phase, quarks are the charge carriers, whereas in the case of hadron gas, the charge carriers are hadrons. This suggests that the charge fluctuations observed in the case of QGP with fractional charges would be smaller than those in hadron gas with integral charges [10, 15, 16]. A reduction in the fluctuations of net charge in PbPb collision at TeV in comparison to that observed at RHIC has been reported by ALICE collaboration [17]. A question arises here whether the fluctuations arising from QGP or from hadron gas would survive during the evaluation of the system [10, 18–21]. The fluctuations observed at the freezeout depend crucially on the equation of state of the system and final effects. It has been shown [22] that large charge fluctuations survive, if they are accompanied by large temperature fluctuations at freezeout in context to the experiments. Measurement of charge fluctuations depends on the observation window, which is so selected that the majority of the fluctuations are captured without being affected by the conservation limits [19–21].
An attempt is, therefore, made to carry out a systematic study of dynamical net charge fluctuations from beam energy scan at RHIC and LHC energies using the Monte Carlo model, HIJING, and the findings are compared with those obtained with the real data and other MC models. The reason for using the code HIJING is that it gives an opportunity to study the effect of jets and jetquenching. HIJING events are generated at various beam energies corresponding to RHIC and LHC which cover an energy range from 62.4 GeV to 5.02 TeV. Two sets of events, (i) HIJINGdefault with jets and minijets and (ii) HIJING with no jet/minijet production, are generated for each of the incident energies considered.
2. Formalism
The charge fluctuations are usually studied in terms of two types of measures [23]. The first one is D, which is the direct measure of the variance of eventbyevent net charge , where ; and , respectively, denote the multiplicities of positively and negatively charged particles produced in an event in the considered phase space. Since the net charge fluctuations may get affected by the uncertainties arising out of volume fluctuations, the fluctuations in the ratio are taken as the other suitable parameter. R is related to the net charge fluctuations via the parameter D as [13, 15–17]which gives a measure of charge fluctuations per unit entropy. It has been shown that D acquires a value ~4 for an uncorrelated pion gas which decreases to ~3 after taking into account the resonance yields [15]. For QGP, the value of D has been reduced to ~, where the uncertainty arises due to the uncertainties involved in relating the entropy to the multiplicity of the charged hadrons in the final state [24]. The parameter D, thus, may be taken as an efficient probe for distinguishing between the hadron gas and QGP phases. These fluctuations are, however, envisaged to be diluted in the rapidly expanding medium due to the diffusion of particles in rapidity space [19, 20]. Resonance decays, collision dynamics, radial flow, and final state interactions may also affect the amount of fluctuations measured [15, 25–27]. The first results on net charge fluctuations at RHIC were presented by PHENIX [28] in terms of reduced variance , while STAR [27] results were based on a dynamical net charge fluctuations measure, , and were treated as a rather reliable measure of the net charge fluctuations as was found to be robust against detection efficiency.
Furthermore, the contributions from statistical fluctuations would also be present if net charge fluctuations are studied in terms of parameter D and it will be difficult to extract the contribution due to fluctuations of dynamical origin. The novel method of estimating the net charge fluctuations takes into account the correlation strength between + +,  , and +  charge particle pairs [10, 29]. The difference between the relative multiplicities of positively and negatively charged particles is given aswhere the angular brackets represent the mean value over the entire sample of events. The Poisson limit of this quantity is expressed as [27]The dynamical net charge fluctuations may, therefore, be written as the difference of these two quantities:From the theoretical point of view, can be expressed in terms of two particle integral correlation functions aswhere the term gives the ratio of integrals of two and singleparticle pseudorapidity density function, defined asThe variable is, thus, basically a measure of relative correlation strength of + +,  , and +  charged hadron pairs. For independent emission of particles, these correlations should be ideally zero. However, in practice, a partial correlation is observed due to string and jetfragmentation, resonance decays, and so forth. The strengths of , , and are expected to vary with system size and beam energy. Moreover, as the charge conservation, +  pair are expected to be rather strongly correlated as compared to like sign charge pairs and hence in (6) is envisaged to be larger than the sum of the other two terms [27] giving values less than zero, which is evident from the results based on and collisions at CERN ISR and FNAL and later on in heavyion collisions at RHIC [27, 29–32] and LHC energies [17, 27].
3. Results and Discussion
Several sets of MC events corresponding to different collision systems in a wide range of beam energies are generated using the code HIJING 1.37 [33] for the present analysis. The details of the events simulated are listed in Table 1. Two sets of events for each beam energy and colliding nuclei, HIJINGdefault with jetquenching off and with jet/minijet production switched off, are simulated and analyzed. It has been argued [34, 35] that the minijets (semihard parton scattering with few GeV/c momentum transfer) are copiously produced in the early state of AA collisions at RHIC and higher energies. In a QGP medium, if present, the jets/minijets will lose energy through induced gluon radiation [36], a process referred to as jetquenching in the case of higher partons. The properties of the dissipative medium would determine the extent of energy loss of jets and minijets. The influence of the production of jets/minijets in AA collisions in the produced medium on the net charged fluctuations may be investigated by comparing the findings due to the two types of HIJING simulated events. The analysis has been carried out by considering the particles having their pseudorapidity values and values in the range 0.2 GeV/c 5.0 GeV/c. These and cuts have been applied to facilitate the comparison of the findings with the experimental result having similar cuts.

Values of for different collision centralities are estimated for various data sets and are listed in Tables 2–5 along with the corresponding values of number of participating nucleons, . Variations of with mean number of participating nucleons, , for various data sets are exhibited in Figure 1. Such dependencies observed in experiments STAR [27] and ALICE [17, 32] are also displayed in the same figure. A monotonic dependence of on is seen in the figure. It may be of interest to note that, for a given , the magnitude of decreases with increasing beam energy and this difference becomes more and more pronounced on moving from most central () to the peripheral () collisions. It is also interesting to note in the figure that the HIJING predicted values (for HIJINGdefault events) are quite close to the experimental values. However, the corresponding values for the events with jets/minijets off are somewhat larger. The jetsoff multiplicities reflect the soft processes, whereas the jetson multiplicities include the contributions from the jets and minijets [32]. This may cause the reduction in the contributions coming from the third term of (5), which represents the correlations between +  pairs. This is expected to occur at these energies, as the events have high multiplicities and are dominated by multiple minijet productions, which might cause the reduction in the strengths of correlations and fluctuations [37].




The parameter D and are related to each other as per the relationThe magnitude of net charge fluctuations is limited by the global charge conservation of the produced particles [29]. Considering the effect of global charge conservation, the dynamical fluctuations need to be corrected by a factor of , where denotes the total charged particle multiplicity of an event in full phase space. Taking into account the global charge conservation and finite acceptance, the corrected value of is given byValues of for various data sets are presented in the last column of Tables 2–4, whereas variations of with for these data sets are displayed in Figure 2. Although the trends of variations of and with for both types of HIJING events are similar, it might be noticed that the data points corresponding to various energies lie rather close to each other in the semicentral and peripheral collision regions. This weakening of energy dependence is observed for both types of HIJING samples considered.
The observed dependence of or its corrected form on or collision centrality indicates the weakening of correlations among the produced hadrons, as one moves from central to peripheral collisions, and nearly matches with the experimental results. These findings, thus, tend to suggest that should be proportional to the centrality of collisions or charged particle multiplicity, if AA collisions are taken as the superpositions of independent nucleonnucleon (nn) collisions with negligible rescattering effects (which is the basic property of HIJING model). This may be tested by scaling by charged particle density and plotting against . These plots are displayed in Figures 3 and 4. It may be observed from these figures that the data at different energies show the same qualitative behavior. The values of product are noticed to be minimum for peripheral collisions and gradually increase to their maximum for the most central collisions; the rise from minimum to maximum is about ~35  40 % for various data sets. An increase of has been observed [36] in STAR AuAu collisions. Such an increase in values with may be accounted to the increase in the particle multiplicity per participant. Data from UA1 and PHOBOS show that, for pp and AuAu collisions at 200 GeV, increases from 2.4 to 3.9 for most central collisions, thus giving an increase of about [38]
The scaling of with has also been checked and the plots are shown in Figure 5, whereas after applying the corrections to the values of the products are plotted against in Figure 6. It is observed from these figures that, with increasing , values gradually decrease for all the data sets. Moreover, for a given , the values of product decrease with the beam energy. It is interesting to note that the difference in the values observed at RHIC and LHC energies, after applying the corrections to values, almost vanishes. It is also interesting to note that the HIJING simulated data points lie closer to the corresponding ones reported earlier using the ALICE data [17]. The decreasing trends of (or ) from peripheral to most central collisions observed in STAR are in contrast to what is observed in the present study using the HIJING data at RHIC and higher energies. Furthermore, the lower values of product or , as shown in Figures 4 and 6 predicted by the HIJING with no jets in comparison to those predicted by HIJINGdefault, indicate the reduction in magnitude of due to the productions of jets and minijets.
The variations of and with charged particle density for the two sets of HIJING events are shown in Figure 7. Results based on PbPb 2.76 TeV experimental data [17] for the same and cuts are also presented in the same figure. It is worthwhile to note in these figures that HIJINGdefault predicted values for 2.76 TeV data are quite close to the corresponding experimental values. Although the magnitude of or exhibits an energy dependence, which becomes more pronounced as the values decrease, that is, from semicentral to peripheral collisions, the data points for various event samples tend to fall on a single curve. Data for the events with no jets exhibit almost similar behavior except for PbPb data at 2.76 and 5.02 TeV without jet production. This may lead to the conclusion that as one moves from RHIC to LHC energies, contributions to the particle multiplicity coming from the jet/minijet production cause the reduction in the magnitude of charge fluctuations.
As mentioned earlier, if AA collisions are the superpositions of m number of nn collisions the single particle density for nn and AA collisions would be written as and . In such a scenario, the invariant cross section is proportional to the number of nn collisions, m, and the quantity is independent of centrality of collision and the system size [12]. STAR results, however, give ~40% increase in values for AuAu and CuCu collisions. The product is plotted against for the two types of event sample in Figure 8. Similar plots for are also shown in Figure 9. The scaled values of and are observed to increase with increasing values in almost similar fashion. Furthermore, for a given the scaled values of or its corrected version are noticed to increase with increasing energy. It is also observed that for a particular set of events (HIJINGdefault and jets off) the values of and are somewhat larger when jet/minijet production is switched off.
It has been suggested [39] that any multiplicity scaling should be based on the mean multiplicities of charged particles. In the modelindependent sources [40], mean particle multiplicity is taken to be proportional to the number of sources, , which changes from event to event. The multiplicity of positively and negatively charged particles may be expressed aswhere and represent the contributions from source. The first and second moments of multiplicity distributions are written asand here and and , , and are the first and second moments of the probability distributions for a single source.
Following the details as given in [40] and using the equationthe following form of may be obtained [41]:where is the quantity of the multiplicities of types a and b for each source. This gives to be inversely proportional to the size of the colliding nuclei. On the other hand, as the term is canceled out by construction, is independent of the system size but requires an additional scaling due to the remaining term, . If type of scaling is used, then, substituting (12) and (13) in (17), the term vanishes and the following form of the scaling is obtained:The scaling of this type has been tested and the results for the various data sets are shown in Figures 10 and 11. It may be seen in these figures that the scaled values for a given energy are nearly independent of charged particle density. It is further observed that the magnitude of scaled values increases as one moves from RHIC to LHC energies. The magnitude of is observed to be inversely proportional to the number of subcollisions leading to the particle production. If number of particles produced in each subcollision is independent of collision centrality, would exhibit scaling [42]. It has been reported [42] that in AuAu collisions at 130 GeV scaling is clearly noted by the data. HIJING simulated data, however, supports such scaling. In contrast to this, findings from URQMD simulations do not support scaling, which maybe because in URQMD rescattering effects are included which would reduce the magnitude of for central collisions [42]. On the basis of various types of scaling of tested in the present study and also the ones by other workers, it may be concluded here that scaling of is relatively a better scaling as compared to other scalings.
4. Conclusions
A systematic study of various aspects of net charge fluctuations has been looked into by simulating the Monte Carlo events using the HIJING generator in two different modes, (i) HIJINGdefault with jetquenching turned off and (ii) production of jets and minijets turned off. Although both types of events exhibit almost similar dependence of on collision centrality and charged particle density, the observed difference in the magnitude of fluctuations clearly reflects the role of jets and minijets in reduction of net charge fluctuations. The trend of energy dependence of , for various centrality bins, exhibited by the MC data used in the present study, matches with STAR and ALICE results. and scalings of after applying the correction for global charge conservation are approximately exhibited by both types of event samples used. This is expected as, in HIJING case, AA collisions are treated as the superpositions of multiple nucleonnucleon collisions. The findings also reveal that the production of jets and minijets plays dominant role in reducing the strength of particle correlations and fluctuations.
Data Availability
The data used to support the findings of this study are available from the corresponding author upon request.
Conflicts of Interest
The authors declare that there are no conflicts of interest.
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Copyright
Copyright © 2019 Bushra Ali et al. 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 SCOAP^{3}.