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        Probing granular inhomogeneity of a particle-emitting source by imaging two-pion Bose-Einstein correlations

        2021-03-18 13:27:28LiYaLiPengRuYingHu
        Nuclear Science and Techniques 2021年2期

        Li-Ya Li ? Peng Ru ? Ying Hu

        Abstract Using the source imaging technique in two-pion interferometry, we study the image of the hydrodynamic particle-emitting source with the HIJING initial conditions for relativistic heavy-ion collisions on an event-by-event basis.It is shown that the initial-state fluctuations may give rise to bumpy structures of the medium during hydrodynamical evolution, which affects the two-pion emission space and leads to a visible two-tiered shape in the source function imaged using the two-pion Bose–Einstein correlations. This two-tiered shape can be understood within a similar but more analytic granular source model and is found to be closely related to the introduced quantity ξ,which characterizes the granular inhomogeneity of the source. By fitting the imaged source function with a granular source parametrization, we extract the granular inhomogeneity of the hydrodynamic source,which is found to be sensitive to both the Gaussian smearing width of the HIJING initial condition and the centrality of the collisions.

        Keywords Heavy-ion collision · Bose–Einstein correlations · Imaging technique

        1 Introduction

        In relativistic heavy-ion collisions, the properties and evolution dynamics of the created QCD matter in different stages of the collisions are encoded in various final-state observables.The Hanbury Brown–Twiss correlation of two final-state particles is one such unique observable that provides a more direct information on the space-time geometry of the particle-emitting source [1–5]. In particular, with the development of the source imaging techniques in pion interferometry [6–8], two-pion Bose–Einstein correlations have been able to serve as a‘‘camera’’for the medium [9–11].This makes it possible to probe the detailed structures of the particle-emitting source with its image and provides a more intuitive understanding of the evolution dynamics of the medium.

        For an event of heavy-ion collisions, the spatial distribution of the medium is usually not smooth, because of initial-state fluctuations [12–14], and there may be some hot spots and cold valleys distributed in the medium. In Ref. [15], it was found that a source with a granular structure has a very different imaging effect from that of a Gaussian source, for example, the imaged source function has a prominent two-tiered shape. Thus, it will be interesting to study a source with a more general particleemitting source model to determine whether the bumpy spatial distribution of the medium can result in any similar signal in the source image and to examine how the detailed source structures affect the image.

        In this work,we utilize the source imaging technique in two-pion interferometry to study the image of the hydrodynamic particle-emitting source with the initial conditions fluctuating from event to event. The evolution of the medium is simulated with a (2+1)-dimensional ideal hydrodynamic code [16], and the initial conditions are generated using the Heavy Ion Jet Interaction Generator(HIJING) [17, 18]. It was found that the imaged source function of the hydrodynamic source can exhibit a non-Gaussian twofold(two-tiered) shape. This two-tiered structure can be understood by introducing a simpler granular source model and is characterized by the granular inhomogeneity ξ by means of a granular source. By fitting the imaged source function with a granular source parametrization, we extract the granular inhomogeneity of the hydrodynamic source,which is found to be sensitive to both the Gaussian smearing width of the HIJING initial condition and the centrality of the collisions.

        The rest of this paper is organized as follows.In Sect. 2,we model the space-time evolution of the hydrodynamic source with the HIJING initial conditions. In Sect. 3, we study the imaging of the hydrodynamic source. In Sect. 4,we extract the granular inhomogeneity of the hydrodynamic source by fitting the source function with a granular source parametrization. Finally, we give a summary and discussion in Sect. 5.

        2 Hydrodynamically evolving sources with fluctuating initial conditions from HIJING

        As a particle-emitting source, the fireball created in an event of heavy-ion collisions is likely to be spatially bumpy because of initial-state fluctuations and a subsequent evolution period with a nearly perfect fluidity [19]. In this work, we perform (2+1)-dimensional hydrodynamic simulations for the evolution of the bulk medium on an eventby-event basis. The framework of our simulation has been applied in Ref. [16] and was shown to be able to well describe the experimental data on the pion transverse momentum spectrum.

        To take into account the initial-state fluctuations, we utilize the HIJING event generator [17,18]to construct the initial energy density profile at a hydrodynamic starting time τ0and at the space-time rapidity ηs =0, which is written by summing over the contributions of the produced minijet partons as [13, 20, 21]where p⊥αis the transverse momentum of parton α, xα(τ0)and yα(τ0)are the transverse coordinates of the parton at τ0,σ⊥is the transverse width parameter of the Gaussian smearing, and K is a scale factor that contains the parton rapidity normalization coefficient and can be adjusted to fit the experimental data for final-state hadrons. In this study,we consider K =0.2 for the LHC energy by fitting the pion transverse momentum spectrum at central rapidity [22].The initial condition at any space-time rapidity ηs can be obtained using the longitudinal boost invariance hypothesis.

        One can observe from Fig. 1 that the transverse profile of the HIJING initial condition can exhibit a bumpy structure with some hot spots and cold valleys.The number of the hot spots (or cold valleys) in a central collision is likely to be greater than that in a peripheral one because of the larger nuclear overlap zone and the greater number of participants.For a given impact parameter,the constructed initial profile with a smaller Gaussian smearing width σ⊥may have more and sharper hot spots, because of the less spreads and overlaps of the deposed energies of the produced partons.

        The succeeding evolution of the medium is simulated with a (2+1)-dimensional ideal hydrodynamics program developed earlier [16], which numerically solves the hydrodynamics equations by using the relativistic Harten-Lax-Leer-Einfeldt (RHLLE) algorithm [23]. In our calculation, the parameterized equation of state s95p-PCE [24]is used to close the hydrodynamic equations.

        To display the evolution of the medium geometric structure, we record the energy density distributions of the evolving media with the four initial conditions shown in Fig. 1 at the longitudinal proper times τ=3,6,and 9 fm/c and are shown in Fig. 2. It is observed from Fig. 2 that an initial bumpy structure of the fluid can give rise to bumpy structures to some extent during the following hydrodynamical evolution. The initial conditions constructed with different Gaussian smearing widths σ⊥can result in visible differences in the succeeding medium structure, even at a later stage of the evolution, for example, at τ=9 fm/c.

        Fig.1 (Color online)Initial transverse distributions of energy density(τ0 =0.4 fm/c) constructed with the HIJING generator for Pb+Pb collisions at =2.76 TeV. Panels a, b depict the initial profiles for an event with the impact parameter b=0 fm, constructed with σ⊥=0.4 fm and 0.8 fm,respectively.Panels c,d depict those for an event with b=6 fm. Unit of energy density is GeV/fm3

        In the remainder of this paper, we will introduce a granular inhomogeneity to characterize the medium bumpy structure with hot spots and cold valleys. In general, the detailed structures of the particle-emitting source may have some effects in final-state observables, among which the Bose–Einstein correlations of the identical pions are a much relevant type. Next, we shall study the granular inhomogeneity of the source with the two-pion correlations and the related source imaging technique.

        3 Imaging of hydrodynamical source with the HIJING initial condition

        The basic idea of the imaging technique [6, 7, 25] in pion interferometry is to extract the two-pion source function S(r) from the two-pion Bose–Einstein correlation function C(q).This is usually achieved by noting that C(q)can be expressed in the center-of-mass (c.m.) frame of the pion pair, with the Koonin–Pratt equation [26, 27],

        Fig. 2 (Color online) Transverse distributions of the energy density of four evolving systems recorded at τ=3 fm/c(a1–d1),τ=6 fm/c(a2–d2), and τ=9 fm/c (a3–d3). The corresponding initial conditions for these four systems are shown in Fig. 1(a–d), respectively. The unit of energy density is GeV/fm3

        Fig. 3 (Color online) Panels a, b Two-pion correlation functions for FIC and Gaussian sources, respectively. Panels c, d Source functions for FIC and Gaussian sources, respectively. In panels c, d, black circles represent the results extracted by the imaging technique, the black dash curve represents Gaussian source function fitting (SFF),and the red solid curve represents granular SFF

        For a Gaussian source, the source function can be written as [28],

        With this function, we fit the imaged sources in panels(c) and (d) of Fig. 3. The Gaussian source function fitting(SFF)is in good agreement with the image of the Gaussian source extracted from the correlation function,as expected.However,the Gaussian SFF can hardly describe the image of the hydrodynamic source with FIC (χ2/NDF=5.96).

        The two-tiered structure of the image of the hydrodynamic source with FIC is possibly related to the bumpy structure of the source with hot spots and cold valleys. To analytically demonstrate this, we consider a simpler static granular source model [15, 29, 30] in which the particles are emitted from dispersed droplets, and each individual droplet is assumed to be a Gaussian emission source. The source function for the granular source model can be written as [15]

        Using the parameterized function in Eq. (7), we do the source function fitting for the hydrodynamic source with FIC (details of the fitting can be seen in Sect. 4) and demonstrate the result as the red solid curve in panel(c)of Fig. 3.It is interesting to see that the granular SFF can well describe the image of the hydrodynamic source with FIC from HIJING (χ2/NDF=0.14). We expect that Eq. (7)can provide some intuitions for understanding the geometric structure of the hydrodynamic source.

        to characterize the source geometric feature that gives rise to the two-tiered structure of the source function. We will refer to this feature as the granular inhomogeneity of the

        For the granular source, the quantity ξ or the granular inhomogeneity will increase with the increasing radius of the whole source (Rgr), but decrease with both the increasing radius of the inside droplet (a) and the increasing number of droplets (N). Figure 4 illustrates the source functions in Eq. (7) with different values of the parameters (and granular inhomogeneity ξ ). We can find that the two-tiered structure of the source functions is sensitive to the value of ξ and becomes more significant for a larger ξ. The two-tiered shape will degenerate into a Gaussian shape in the limit ξ →0.

        4 Extracting granular inhomogeneity of hydrodynamic source from source image

        The source function SGr(r) of the granular source given in Eq.(7)can serve as a useful parametrization to study and quantify the granular inhomogeneity(ξ)for a more general particle-emitting source,through fitting the source function imaged from the two-pion Bose–Einstein correlation functions. In this section, we shall study the granular inhomogeneity of the hydrodynamic source with fluctuating initial conditions from HIJING.

        Fig. 4 (Color online) Source functions for static granular sources with different values of source parameters. In panel a, we consider N =10 and Rgr =8.0 fm and vary the parameter a. In panel b, we consider N =10 and a=2.0 fm and vary the parameter Rgr.In panel c, we take a=2.0 fm and Rgr =8.0 fm and vary the parameter N.The corresponding values of ξ are also shown

        In order to extract the source granular inhomogeneity from the source image S(r),we perform the source function fitting with the parametrization λSGr(r), in which SGr(r) is in the form of Eq. (7), and λ is the strength factor of the correlation function.Concretely,we have preset the values of the positive integers N and considered λ, a, and Rgras free parameters in the fitting. This procedure will be performed for different N values until the minimum χ2/NDF<1 is met. The results of the fitting are shown in Fig. 5 as red curves.It is observed that the parametrization λSGr(r) can describe the images of the hydrodynamic sources fairly well.

        Fig. 5 (Color online) Event-averaged source function imaging for a hydrodynamic source with the HIJING initial condition (black circles). Simulation is performed for Pb+Pb collisions at=2.76 TeV, with the impact parameters b=0 fm (panels a,b) and b=6 fm (panels c, d). The Gaussian smearing width σ⊥for the initial condition is considered to be 0.4 fm (panels a, c) and 0.8 fm (panels b, d). The red curve represents the result of source function fitting with parametrization SGr(r) in Eq. (7)

        Table 1 Parameters related to source granular inhomogeneity,extracted by fitting the imaged hydrodynamics source function with granular source parametrization in Eq. (7)

        In Table 1,we list the extracted parameters in the fitting as well as the corresponding minimum χ2/NDF. The extracted granular inhomogeneity ξ is found to be sensitive to the Gaussian smearing width σ⊥in the initial condition.For a given impact parameter, ξ is larger for a smaller σ⊥,mainly due to the smaller a (droplet radius parameter)extracted in the fitting,which may indicate that the average radius of the hot spots in the evolving medium is smaller for a smaller σ⊥.The reduction in the droplet number N for a larger σ⊥may imply an enhanced hot spot merging effect. Moreover, the extracted granular inhomogeneity ξ in central collisions is larger than that in the peripheral ones. On the one hand, because the averaged radius of the whole source is larger in central collisions, the extracted Rgris larger.On the other hand,the extracted a is smaller in central collisions, which also results in a larger ξ and indicates that the average radius of the medium hot spots during the hydrodynamic evolution may be smaller in more central collisions. This may also be related to the fact that the droplet number N is not treated as a free parameter in the fitting, which should be examined in a future study.

        The results in this work indicate that the source image,extracted from the two-pion Bose–Einstein correlations,may provide valuable information on the granular inhomogeneity of the particle-emitting source, which may be sensitive to both the source initial condition and the source dynamical evolution.

        5 Summary and discussion

        In this work, we utilize the final-state two-pion Bose–Einstein correlations to study the imaging of the hydrodynamic particle-emitting source with the initial conditions fluctuating from event to event. The evolution of the medium is simulated with a (2+1)-dimensional ideal hydrodynamic code, and the initial conditions are generated with HIJING.It is shown that initial-state fluctuations can give rise to bumpy structures of the medium to some extent during the succeeding hydrodynamical evolution,which is sensitive to the Gaussian smearing width of the parton energy deposition in the initial condition.

        It is found that the imaged source function of the hydrodynamic source can exhibit a non-Gaussian twofold(two-tiered) shape. This is mainly due to the bumpy structure of the medium with hot spots and cold valleys,which affects the two-pion emission space. The two-tiered structure of the source function can be partly explained by introducing a simpler granular source model that can be solved analytically and can be characterized by the granular inhomogeneity ξ by means of a granular source.

        The parametrization form of the granular source function is found to be able to describe the image of the hydrodynamic source with the HIJING initial conditions.By fitting the source image with the granular source function parametrization, we extract the granular inhomogeneity ξ of the hydrodynamic source. We find that the extracted ξ is sensitive to the Gaussian smearing width of the HIJING initial condition,as well as the centrality of the collisions.

        In this work, the medium evolution is modeled with ideal hydrodynamics. If the viscosity of the fluid is considered [14, 31, 32], the bumpy structure of the medium may become less important in the middle and later stages of the evolution owing to the dissipation. Thus, it will be interesting to study the effect of viscosity on source imaging and granular inhomogeneity in the future. In addition, the image of the source in this work is extracted from the Bose–Einstein correlations by neglecting the final-state interactions,for example,the Coulomb force and resonance decay. It has been realized that the final-state effects, such as long-lived-resonance emission halo [9,30,33],may also give rise to a multifold structure in the source image,which may affect the extraction of the source granular inhomogeneity in experiments. Compared to the effect of the source granular inhomogeneity, that is,an increase in the probability of shorter-distance pion pair emission,the resonance decays are expected to enhance the long-distance pion pair emission and result in a long tail of the imaged source function. To study the source granular inhomogeneity in heavy-ion experiments, we may need to examine the final-state-corrected experimental measurement of the Bose–Einstein correlations [34,35]or take into account the effects of the final-state interactions in the calculations [36, 37].

        Author ContributionsAll authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Li-Ya Li,Peng Ru,and Ying Hu.The first draft of the manuscript was written by Ying Hu, and all authors commented on previous versions of the manuscript.All authors read and approved the final manuscript.

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