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A perspective on describing nucleonic flow and pionic observables within the ultra-relativistic quantum molecular dynamics model

NUCLEAR PHYSICS AND INTERDISCIPLINARY RESEARCH

A perspective on describing nucleonic flow and pionic observables within the ultra-relativistic quantum molecular dynamics model

Yang-Yang Liu
Jun-Ping Yang
Yong-Jia Wang
Qing-Feng Li
Zhu-Xia Li
Cheng-Jun Xia
Ying-Xun Zhang
Nuclear Science and TechniquesVol.36, No.3Article number 45Published in print Mar 2025Available online 29 Jan 2025
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In this work, we study the impacts of the isospin-independent momentum-dependent interaction (MDI) and near-threshold NNNΔ cross sections (σNNNΔ) on the nucleonic flow and pion production observables in the ultra-relativistic molecular dynamics (UrQMD) model. With the updated isospin-independent MDI and the near-threshold NNNΔ cross-sections in the UrQMD model, 17 observables, which are the directed flow (v1) and elliptic flow (v2) of neutrons, protons, Hydrogen (H), and charged particles as a function of transverse momentum (pT/A) or normalized rapidity (y0lab), and the observables constructed from them, the charged pion multiplicity (M(π)) and its ratio (M(π-)/M(π+)), can be simultaneously described at certain forms of symmetry energy. The refinement of the UrQMD model provides a solid foundation for further understanding the effects of the missed physics, such as the threshold effect, the pion potential, and the momentum-dependent symmetry potential. Circumstantial constraints on the symmetry energy at the flow characteristic density 1.2± 0.6 ρ0 and the pion characteristic density 1.5± 0.5ρ0 were obtained with the current version of UrQMD, and the corresponding symmetry energies were S(1.2ρ0)=34± 4 MeV and S(1.5ρ0)=36± 8 MeV, respectively. Furthermore, the discrepancies between the data and the calculated results of v2n and v2p at high pt (rapidity) imply that the roles of the missing ingredients, such as the threshold effect, the pion potential, and the momentum-dependent symmetry potential, should be investigated by differential observables, such as the momentum and rapidity distributions of the nucleonic and pionic probes over a wide beam energy range.

Momentum dependent interactionNN→NΔ cross-sectionSymmetry energyFlow and π observable
1

Introduction

The isospin asymmetric nuclear equation of state is crucial for understanding isospin-asymmetric objects such as the structure of neutron-rich nuclei, the mechanism of neutron-rich heavy ion collisions (HICs), and the properties of neutron stars, including neutron star mergers and core-collapse supernovae [1-10]. The symmetric part of the isospin-asymmetric equation of state has been well constrained using flow and kaon condensation [11]. However, the symmetry energy away from the normal density still has a large uncertainty, making the constraint of symmetry energy becomes one of the important goals in nuclear physics [12, 13].

For probing the symmetry energy at suprasaturation density using HICs, the isospin-sensitive observables, such as the ratio of elliptic flow of neutrons to charged particles, hydrogen isotopes, or protons (v2n/v2ch, v2n/v2H, or v2n/v2p) [14-18] and the multiplicity ratio of charged pions (i.e., M(π-)/M(π+) or denoted as π-/π+) [19-30], were mainly used. By comparing the calculations with transverse momentum-dependent or integrated elliptic flow data of nucleons, hydrogen isotopes, and charged particles from the FOPI/LAND and ASY-EOS experimental collaborations, a moderately soft to linear symmetry energy was obtained with the UrQMD [31, 14, 16] and Tübingen quantum molecular dynamics (TüQMD) model [15, 18]. The lower limit of L obtained from the flow ratio data is L>60 MeV [32], which overlaps with the upper limits of the constraints from the nuclear structure and isospin diffusion, i.e., L60±20 MeV [33-35]. It shows strong model dependence for the symmetry energy constraints from π-/π+ [21-23, 25-28, 36] and the extracted value of L ranges from 5 MeV to 144 MeV. This may be due to the different treatments of nucleonic potential, Δ potential, threshold effects, pion potential, Pauli blocking, in-medium cross-sections, and by using the different numerical techniques for solving transport equations.

To understand the model dependence of the symmetry energy constraints of HICs and improve it in the future, two aspects should be considered. One is to find and fix the deficiencies of transport models, which can be achieved through a transport model evaluation project. The other is to test the model by simultaneously describing the multi-observable data and then providing the constraints of symmetry energy at their probed densities.

The transport model evaluation project has made important progress in benchmarking the treatment of particle-particle collision [37, 38] and nucleonic mean field potential [39] in both the Boltzmann-Uehling-Uhlenbeck (BUU) type and quantum molecular dynamics (QMD) type models. In the collision part, a time-step-free method is suggested [37, 38] for simulating the collisions or decay of resonance particles because it automatically determines whether the resonance will collide or decay according to the sequence of the collision time and decay time. In the UrQMD model, the time-step-free method is adopted in the collision part [37, 38], and the nucleonic potential is also involved in extending its application to low-intermediate energy HICs [16, 28].

Despite the successful applications of the UrQMD model in studying heavy-ion collisions (HICs) across a range of energies from low-intermediate to high energy [40, 41, 16, 28, 32], previous calculations have revealed that the data of pion multiplicity and the nucleonic flow observables for Au+Au at 0.4A GeV were not simultaneously described. This ‘inconsistency’ may be attributed to the momentum-dependent interaction (MDI) form and near-threshold σNNNΔ cross-sections used in the UrQMD model [16, 28].

The MDI form used in the previous analyses on the elliptic flow of neutrons, protons, hydrogen isotopes, charged particles [16] or the pion multiplicity [28] is t4ln2(1+t5(p1p2)2)δ(r1r2), in which the MDI parameters were extracted by fitting the Arnold’s optical potential data [42]. By using this MDI form in the UrQMD, the transverse momentum-dependent elliptic flow for neutrons and hydrogen isotopes is underestimated by 40% in the high pT/A region [31]. In the 1990s, the real part of the global Dirac optical potential (Schrodinger equivalent potential) was published by Hama et al. [43], in which the angular distribution and polarization quantities in proton-nucleus elastic scattering in the 10 MeV to 1 GeV range were analyzed. Based on Hama’s data, a Lorentzian-type momentum-dependent interaction [44] was generated and used in the IQMD model in Ref. [44], and in many versions of transport model, such as the Boltzmann-Nordheim-Vlasov (BNV) [45], IBUU [46-48], the jet AA microscopic transportation model + relativistic version of the QMD model (JAM+RQMD) [49], previous version of the UrQMD [50], the Giessen-BUU model (GiBUU) [51], the antisymmetrized molecular dynamics approach (AMD) +JAM [52], RQMD [53], TüQMD [54] model for studying intermediate-high energy HICs. The MDI [44] generated from Hama’s data provides a stronger momentum-dependent potential than that from Arnold’s data in the high-momentum region. Thus, checking whether Hama’s MDI form can refine the nucleonic flow description in the UrQMD model is important.

For the cross sections of the NNNΔ channel used in the UrQMD model, they are obtained by fitting CERN8401 data [55]. This fitting formula underestimates the data for σNNNΔ near the threshold energy, which will be shown in Fig. 2 in Sect. 2, and thus leads to an underestimation of the pion productions in the UrQMD calculation. The other transport models, such as TüQMD, pBUU, and RVUU, use the σNNNΔ cross-section obtained from the one-boson exchange model by fitting CERN8301 data. However, one should note that the data from CERN8301 and CERN8401 were different, particularly near the threshold energy. Thus, investigations of the different formulas of σNNNΔ near the threshold energy are necessary for describing the pion observables.

Another method for reducing model uncertainties is to simultaneously describe the multi-observables data (or doing so-called combination analysis), including the isospin-independent and isospin-dependent nucleonic collective flow and pion observables. For the combination analysis on the isospin sensitive nucleonic flow and pion observables, there were few works to simultaneously investigate them, except for the TüQMD model [27] and IBUU model [17]. In the TüQMD model, the medium correction on the cross-sections, energy conservation, and momentum-dependent symmetry potential have been considered, and four observables, such as Mπ+, Mπ, π-/π+, and integral v2n/v2p, were analyzed. In the IBUU model, the nucleon-nucleon short-range correlations and isospin-dependent in-medium inelastic baryon-baryon scattering cross-sections were considered, and six integrated flow and pion observables were analyzed.

In the last decades, ASY-EOS, FOPI-LAND, and FOPI have published 17 datasets on nucleonic collective flows and pion observables, as listed in Table 3, which provides a significant opportunity to benchmark the model and understand the contributions of the different physical phenomena. In this study, we attempted to use 17 observables to limit the physical uncertainties and improve the ability of the UrQMD model.

The paper is organized as follows: In Sect. 2, we briefly introduce the MDI, symmetry energy, and σNNNΔ that will be refined in the UrQMD model. In Sect. 3, the impacts of MDI, symmetry energy, and the refined σNNNΔ on the 17 observables, such as nucleonic flow and pion observables, are presented and discussed. In Sec. 4, the symmetry energy constraints at the flow and pion characteristic densities are obtained and the model dependence of them are discussed. Sect. 5 concludes this study.

2

UrQMD model and its refinements

The UrQMD model version we used is the same as that used in Ref. [28], in which the cross-sections of the NΔNN channel are replaced with a more delicate form by considering the Δ-mass dependence of the M-matrix in the calculation of the NΔNN cross-section [56]. This differs from the version used to describe only the flow data and constraints in Refs. [16, 32]. To distinguish them, we named the current version as UrQMD-CIAE and previous version as UrQMD-HZU. The main differences are the momentum dependence potential and NNNΔ cross-section.

We focused on the impacts of different forms of the MDI, symmetry energy, and σNNNΔ and have briefly introduced them in the subsequent sections. The nucleonic potential energy U was calculated from the potential energy density u, i.e., U=ud3r. The u reads as u=α2ρ2ρ0+βη+1ρη+1ρ0η+gsur2ρ0(ρ)2+gsur,isoρ0[(ρnρp)]2+umd+usym. (1) The parameters α, β, and η are related to the two and nonlinear density-dependent interaction term. The third and fourth terms are the isospin-independent and isospin-dependent surface term, respectively. The umd is from the MDI term, and two forms were adopted in this work. usym denotes the symmetry potential energy term.

The energy density associated with the MDI, i.e., umd, is calculated according to the following relationship: umd=ijd3p1d3p2fi(r,p1)fj(r,p2)vmd(Δp12). (2) fi(r,p1) denotes the phase space density of nucleon i. The MDI form, that is, vmd(Δp12), is assumed to be vmd(Δp12)=t4ln2(1+t5Δp122)+c, (3) where Δp12=|p1p2|, and the parameters t4, t5, and c are obtained by fitting the data of the real part of the optical potential. In detail, we fit the data of the real part of the nucleon-nucleus optical potential Vmd(p1) according to the following ansatz: Vmd(p1)=p2<pFvmd(p1p2)d3p2/p2<pFd3p2. (4) This method is the same as that used in Ref. [44].

Two sets of the real part of optical potential data were used in this work. One is from Arnold et al. [42], which was used in the previous version of the UrQMD model[16, 28]. Another is from Hama et al. [43], which is widely used in many transport models, such as BNV[45], IBUU[46-48], JAM+RQMD[49], the previous version of the UrQMD[50], GiBUU[51], AMD +JAM[52], RQMD[53], and the TüQMD[54] model. The momentum dependence of vmdHama(Δp12) is stronger than that of vmdArnold(Δp12), and the value of vmdHama(Δp12) is larger than that of vmdArnold(Δp12) at high momentum region. The corresponding single-particle potentials are presented in Fig. 1 (a). Because the MDI can influence the EOS, parameters α, β, and η should be readjusted to keep the desired shape. The parameters α, β, and η were readjusted to maintain the incompressibility of the symmetric nuclear matter K0=231 MeV for the two different MDIs, and the values of the parameters and the corresponding effective mass m*/m are listed in Table 1.

Fig. 1
(Color online) (a) The parametrization of the bare interaction vmd (lines) as compared to the data points of the real part of optical potential (symbols) from Arnold et al. [42] (green) and Hama et al. [43] (red). (b) Density dependence of the symmetry energy with different S0 and L values
pic
Table 1
Parameters used in the present work
Para t4 t5 c α β η K0 m*/m
vmdArnold 1.57 5×10-4 -54 -221 153 1.31 231 0.77
vmdHama 3.058 5×10-4 -86 -335 253 1.16 231 0.635
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t4, c, α, β and K0 are in MeV. t5 is in MeV-2, and η and m*/m are dimensionless. The Gaussian wave packet width is taken as 1.414 fm for Au+Au collision.

For the potential energy density of the symmetry energy part, i.e., usym, only the local interaction has contribution since the nonlocal term is isospin-independent momentum dependent interaction. We take two forms of usympot in our calculations: the Skyrme-type polynomial form ((a) in Eq. (5)) and the density power law form ((b) in Eq. (5)), which read as usym=Ssympot(ρ)ρδ2={(A(ρρ0)+B(ρρ0)γs+C(ρρ0)5/3)ρδ2,(a)Cs2(ρρ0)γiρδ2.(b) (5) Correspondingly, the density dependence of the symmetry energy is S(ρ)=26m(3π2ρ2)2/3+Ssympot(ρ). (6) In Eq.(5), A, B, C, Cs, and γi are the parameters of the symmetry potential directly used in the UrQMD model. They are determined by the symmetry energy values at the saturation density S0, the slope of the symmetry energy L, and the parameters in Table 1 according to the relationship described in Refs. [35, 57], where S0=S(ρ0) and L=3ρ0S(ρ)/ρ|ρ0. The ranges of S0 and L are listed in Table 2. In this work, we varied S0 and L to investigate the influence of the symmetry energy on HIC observables.

Table 2
Parameters of symmetry energy and effective mass used in the calculations
Para. Name Values Description
S0 [30, 34] Symmetry energy coefficient
L [5, 144] Slope of symmetry energy
m*/m 0.635,0.77 Isoscalar effective mass
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For the L<35 MeV case, we used the Skyrme-type polynomial form of Ssympot(ρ) because the simple power law form of the symmetry energy cannot provide reasonable values at a subnormal density. Furthermore, the L < 5 MeV sets are not adopted because the corresponding symmetry energy becomes negative at densities above 2.7ρ0 and the EOS is not favored by the neutron star properties. Thus, the lower limit of L in our calculations was 5 MeV. For L>35 MeV, we used a simple power law form of Ssympot(ρ). As an example, we present the density dependence of the symmetry energy in Fig. 1 (b) for L = 20, 144 MeV at S0=30 and 34 MeV.

The symmetry potential of Δ resonance was calculated from the symmetry potential of the nucleon as same as that in Refs. [20, 22, 26-28, 58, 59]. The effects of different strengths of Δ potential on pion production were also investigated in Refs. [28, 60], and the total and differential π-/π+ ratios in heavy ion collisions above the threshold energy were weakly influenced by the completely unknown symmetry (isovector) potential of the Δ(1232) resonance, owing to the very short lifetimes of the Δ resonances.

In the collision term, medium-modified nucleon-nucleon elastic cross-sections were used, as same as that in our previous works [32]. For the NNNΔ cross-sections used in UrQMD [40], a formula used to fit the CERN8401 data was adopted and denoted as σNNNΔUrQMD. After zooming out the figure of the NNNΔ cross-sections near the threshold in Ref. [40], we found that σNNNΔUrQMD underestimated the data [55] by approximately 3 mb at E=0.4A GeV. This discrepancy is illustrated in Figs. 2 (a), where the blue line is the default fitting formula in Ref. [40] and the solid symbols represent the CERN8401 data obtained from Ref. [55]. One can expect that the default formula σNNNΔUrQMD would underestimate the pion multiplicities. Thus, we used an accurate form of σNNNΔ near the threshold energy to describe pion production at 0.4A GeV. A Hubbert function form was used to refit the NNNΔ cross-sections data at s<2.21 GeV. That is, σNNNΔ(s)=A1+4A2×e(sA3)/A4(1+e(sA3)/A4)2,s<2.21 GeV. (7) In which, A1=-1.11 mb, A2=26.30 mb, A3=2.24 GeV, and A4=0.05 GeV. We denote this as σNNNΔHub to distinguish it from the default form in Ref. [40]. The fitting result is represented by red line in Fig. 2 (a). Above 2.21 GeV, the default fitting function was used.

Fig. 2
(Color online) (a) The NNNΔ cross-section with default parameterization in the UrQMD model σNNNΔUrQMD (blue line), Hubbert parameterization σNNNΔHub (red line), and that obtained based on the OBE model σNNNΔOBEM [61] (orange line). (b) The ratio of σNNNΔHub over σNNNΔUrQMD (red line) and σNNNΔOBEM over σNNNΔUrQMD (orange line) as a function of energy s
pic

As shown in Fig. 2 (a), the σNNNΔHub is closer to the experimental data than the σNNNΔUrQMD. The right panel shows that the ratio of R=σNNNΔHub/σNNNΔUrQMD, and one can see that the cross-section σNNNΔHub increases by a factor of 8.56 at a beam energy of 0.4A GeV. Consequently, one can expect a higher pion multiplicity with σNNNΔHub than the one with σNNNΔUrQMD.

Additionally, we present another form of σNNNΔ (indicated by the orange line in Fig. 2 (a)), which has been widely used in the other transport models [23, 27, 54, 30, 58]. This was obtained by fitting the results from the one-boson exchange model [61], in which the model parameters were obtained by fitting the CERN8301 experimental data [62], referred to as σNNNΔOBEM in this work. At 0.4A GeV, the data from CERN8301 was smaller than the one from CERN8401, and the difference between the data from CERN8301 and CERN8401 was approximately 3 mb. Correspondingly, the ratio R=σNNNΔOBEM/σNNNΔUrQMD decreased to 1.88, and one can expect that the pion multiplicity will be underestimated in transport models with this form. To enhance the pion multiplicity in the transport model calculations, the threshold effects may needed when the σNNNΔOBEM is used in the model.

For the NΔNN cross-sections, they were obtained based on the detailed balance, in which the Δ mass-dependent NΔNN cross-sections were also considered as in Refs. [56, 28].

3

The descriptions of the collective flow and pion observables

The collective flow reflects the directional features of the transverse collective motion, which can be quantified in terms of the moments of the azimuthal angle relative to the reaction plane, i.e., vn=cos(nϕ), n=1, 2, 3, . Among the vn, the elliptic flow v2 has been used to determine the MDI [63], and the elliptic flow ratios, such as v2n/v2p, v2n/v2H, and v2n/v2ch are proposed to determine the symmetry energy at suprasaturation density [16, 31, 18]. Pions are known to be mainly produced through Δ resonance decay in the suprasaturation density region at an early stage, and the multiplicity ratio of charged pions, i.e., π-/π+, is also considered as a probe for constraining the symmetry energy at the suprasaturation density and has been widely studied [19-23, 27, 28].

In this work, we perform the calculations of Au+Au collision at 0.4A GeV with UrQMD model, and 200,000 events are simulated for each impact parameter. The final flow observables as functions of pT/A and y0lab are obtained by integrating over b with a Gaussian weight. For the one with pT/A, the integration range is b from 0 to 10 fm [31, 64-66]; for the one with y0lab, it is from 5 to 7 fm. The pion observable was also obtained by integrating over b from 0 to 2 fm with a certain weight, which is the same as that in Ref. [67]. The 17 observables listed in Table 3 are investigated in the following analysis.

Table 3
Status of transport models for describing 17 experimental observables from the published papers
observable experimental data IBUU IBL LQMD pBUU RVUU χBUU TüQMD UrQMD-HZU UrQMD-CIAE
v1n(pt/A) ASY-EOS[31] - - - - - - - +[31] +
v2n(pt/A) ASY-EOS[31] - - - - - - +[18] +[31] +
v1ch(pt/A) ASY-EOS[31] - - - - - - - +[31] +
v2ch(pt/A) ASY-EOS[31] - - - - - - +[18] +[31] +
v2n/v2ch(pt/A) ASY-EOS[31] - - - - - - +[18] +[31] +
v2n(pt/A) FOPI-LAND[14] - - - - - - +[18] +[14] +
v2H(pt/A) FOPI-LAND[14] - - - - - - +[18] +[14] +
v2n(y0lab) FOPI-LAND[14] +[17] - - - - - +[18] +[14] +
v2p(y0lab) FOPI-LAND[14] +[17] - - - - - +[18] - +
v2n/v2H(pt/A) FOPI-LAND[14] - - - - - - +[18] +[16] +
v2n/v2p(y0lab) FOPI-LAND[14] - - - - - - +[18] - +
v2n/v2H FOPI-LAND[14] - - - - - - +[18] +[16] +
v2n/v2p FOPI-LAND[14] +[17] - - - - - +[18] +[16] +
v2nv2H FOPI-LAND[14] - - - - - - - +[16] +
v2nv2p FOPI-LAND[14] - - - - - - - +[16] +
M(π) FOPI[67] + [21, 17] +[23] +[22] +[25] +[70, 26] +[79] +[27] - +[28]
π-/π+ FOPI[67] + [21, 17] +[23] +[22] +[25] +[70, 26] +[79] +[27] - +[28]
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3.1
Directed flow and elliptic flow

Figure 3 (a) and (b) show the directed flow as a function of the transverse momentum per particle pT/A for neutrons v1n(pt/A) and for charged particles v1ch(pt/A) at given rapidity regions and angle cuts. The symbols represent the ASY-EOS data from Ref. [31]. The lines correspond to UrQMD calculations using vmdArnold (green) and vmdHama (blue and red) for the L = 144 MeV (solid lines) and L = 20 MeV (dashed lines) cases at S0 = 32.5 MeV. In which, green and blue lines correspond to σNNNΔUrQMD, and red lines correspond to σNNNΔHub. By comparing the green and blue lines, the effects of MDI can be understood, while the comparison between blue and red lines can be used to study the effects of σNNNΔ. The calculations show that v1n(pt/A) and v1ch(pt/A) increase from negative to positive as pt/A increases, and the sign of v1 changes around pt/A0.5 GeV/c. Furthermore, the calculations show that there are no sensitivities of v1 to L, MDI, and σNNNΔ in the selected rapidity region owing to the spectator matter-blocking effect. In addition, calculations with different combinations of L, MDI, and σNNNΔ fall within this data region.

Fig. 3
(Color online) (a) v1(pt/A) for neutrons; (b) v1(pt/A) for charged particles; (c) v2(pt/A) for neutrons, and (d) v2(pt/A) for charged particles for 197Au+197Au collisions. The dash and solid lines correspond to the results with L=20 MeV and L=144 MeV at S0=32.5 MeV, respectively. The gray lines are the results in Ref. [31]. The black symbols are ASY-EOS data[31]
pic

Figure 3 (c) and (d) show the elliptic flow of neutrons v2n(pt/A) and charged particles v2ch(pt/A), with different L, MDI, and σNNNΔ. The symbols and lines have the same meaning as in panels (a) and (b), respectively. The gray lines represent the results in Ref. [31]. Both v2n and v2ch have negative values and decrease as pT/A increases, indicating a preference for particle emission out of the reaction plane towards 90 and 270°. Notably, both v2n and v2ch at high pt regions are highly sensitive to the strength of MDI and L but are hardly influenced by the forms of σNNNΔ. This is because only 6% of NN collisions belong to NNNΔ collisions in the presently studied beam energy [28]. The values of v2 obtained with vmdHama are always lower than those obtained with vmdArnold because the momentum dependence of vmdHama is stronger than that of vmdArnold. The calculations of v2n and v2ch with vmdHama are closer to the ASY-EOS experimental data than those obtained using the previous version of UrQMD [31] (gray lines), in which vmdArnold is used.

In addition to MDI, the v2n and v2ch both exhibit some sensitivity to the stiffness of the symmetry energy. As shown in Fig. 3 (c), the values of v2n obtained with the L=144 MeV (stiff) case are lower than those obtained with the L=20 MeV (soft) case. This is because the stiff symmetry energy provides a stronger repulsive force on the neutrons at suprasaturation density than that with the soft symmetry energy case. For charged particles, as shown in panel (d), the v2ch obtained in the stiff symmetry energy case is higher than that obtained in the soft symmetry energy case. This is because the emitted charged particles are mainly composed of free protons, which feel a stronger attractive interaction for the stiff symmetry energy case than that for the soft symmetry energy case at suprasaturation density.

Figure 4 shows the calculated results on the elliptic flow of neutrons, protons, and H isotopes. Panels (a) and (b) show v2n(pt/A) and v2H(pt/A), and panels (c) and (d) show v2n(y0lab) and v2p(y0lab). The red lines have the same meaning as those shown in Fig. 3. The gray lines represent the calculations using vmdArnold in the previous UrQMD model [14]. The black symbols represent elliptic flow data from the FOPI-LAND experiment [14]. The calculations with vmdHama can nearly reproduce the FOPI-LAND data. However, the strength of v2n and v2H is slightly overestimated at pT/A=0.85 GeV/c and an underestimation of the strength of v2p at y0lab>0.6, which may be caused by isospin splitting of the proton and neutron effective masses [68, 69].

Fig. 4
(a) v2(pt/A) for neutrons; (b) v2(pt/A) for H isotopes; (c) v2(y0lab) for neutrons; and (d) v2(y0lab) for protons for 197Au+197Au collisions. The red lines are for VmdHama and σNNNΔHub at S0=32.5 MeV. The gray lines are the results in Ref. [14], and the black symbols are the FOPI-LAND data[14]
pic

To single out the contributions of the isovector potential and cancel those of the isoscalar potentials, v2n/v2ch, v2n/v2H, and v2n/v2p ratios were proposed to probe the symmetry energy. Figure 5 (a) shows the calculations for v2n/v2ch as a function of pt/A obtained with vmdHama and σNNNΔHub. The lines represent the UrQMD calculations with L=20 MeV (dash) and L=144 MeV case (solid) at S0 = 30 MeV (violet) and S0 = 34 MeV (red). The lower calculation limit is L=5 MeV represented by the rectangular box. The calculations show that v2n/v2ch is sensitive to L at the low pt region where the mean field plays a more important role. The v2n/v2ch values obtained with the stiff symmetry energy cases are larger than that with the soft symmetry energy case, which is consistent with the results by using the UrQMD model [14, 16, 31], IBUU model [17], or TüQMD model [18, 54]. This behavior can be understood from Fig. 3 (c) and (d). By comparing the calculations of v2n/v2ch with the ASY-EOS experimental data [31] represented by the symbols and doing a χ2 analysis, one can find the parameter sets favored by data. Within the framework of UrQMD and setting S0= 30–34 MeV, the parameter sets with L = 5–70 MeV can describe the data.

Fig. 5
(Color online) (a) v2n/v2ch as a function of pt/A for 197Au+197Au collisions with L = 20 MeV and 144 MeV at S0 = 30 MeV (violet line) and S0 = 34 MeV (red line). The black symbols represent the ASY-EOS experimental data. (c) v2n/v2H as a function of pt/A, (e) v2n/v2p as a function of y0lab for 197Au+197Au collisions with L = 20 MeV and 144 MeV at S0 = 32.5 MeV (red lines). The black symbols represent FOPI-LAND experimental data. (b) χ2 of v2n/v2ch as a function of L at S0 = 30 MeV (violet line) and S0 = 34 MeV (red line). (d), (f) χ2 of v2n/v2H, v2n/v2p as a function of L at S0 = 32.5 MeV (red line)
pic

Figure 5 (c) and (e) depict the calculated v2n/v2H(pt/A) and v2n/v2p(y0lab) results, respectively. The L dependence of the χ2 value at S0 = 32.5 MeV for v2n/v2H and v2n/v2p are presented in Fig. 5 (d) and (f). By comparing with the FOPI-LAND data [14] and conducting a χ2 analysis, we obtain L constraints from v2n/v2H(pt/A) in a broader range of L = 5-95 MeV, owing to the larger uncertainty in the v2n/v2H(pt/A) data. The L constraints from v2n/v2p(y0lab) calculations are L = 5–60 MeV, which is narrower than those from v2n/v2ch(pt/A) and v2n/v2H(pt/A) since the more pronounced sensitivity of the symmetry potential effects on free protons. As our calculations can reproduce the differential data of elliptic flow, it naturally expects that the ratios of integral value of the elliptical flow, i.e., v2n/v2H, v2n/v2p, and the difference v2nv2H v2nv2p, can describe the experimental data.

The constraint by flow ratio and flow difference in this work is lower than those with the previous UrQMD model [31] or TüQMD model [27]. The discrepancy between our results and those of the previous UrQMD [31] is caused by using the different forms of vmd and K0. In Ref. [31], vmdArnold and K0=200 MeV were used, and they provided a weaker repulsive force than that in our study. Consequently, the magnitude of the elliptical flow was underestimated. Consequently, their study required a more repulsive symmetry potential at high density, which has large L values. The difference between our results and TüQMD results [27] may be caused by using different K0 and impact parameter ranges in calculations. In Ref. [27], they used K0 = 214 MeV and the impact parameter b<7.5 fm. In our case, K0=231 MeV, the impact parameter is distributed from 0 to 10 fm, and the weight of the impact parameter has a Gaussian form, inferred from the experimental event selection [31]. Both led to the L value constraints being greater than our study results. In addition, the different treatments for the medium effect of elastic cross-sections and isovector neutron-proton effective mass splitting may also have some effects; however, understanding the difference requires further study.

3.2
Pion productions and charged pion yield ratios

Figure 6 (a) shows the calculated pion multiplicity per participant /Apart as a function of L with different σNNNΔ and symmetry energy forms. Apart is the number of nucleons in the participant, which constitutes 90% of the total mass of the system. The red and violet lines represent the calculations with σNNNΔHub at S0=30 and 34 MeV, respectively. The orange and blue lines represent the results obtained using σNNNΔOBEM and σNNNΔUrQMD at S0 = 32.5 MeV. The results obtained with σNNNΔOBEM are lower than the data because the σNNNΔOBEM is 50% lower than the σNNNΔHub at E=0.4A GeV. In this case, one may expect that an obvious threshold effect is required to enhance the production of pions to describe the data. The calculation obtained using σNNNΔUrQMD underestimated /Apart by approximately 30%, relative to the data. This discrepancy can be understood from the underestimation of the NNNΔ cross-sectional data using the default formula σNNNΔUrQMD, as shown in Fig. 2 (a). Surprisingly, the results obtained with the σNNNΔHub fall into the data region since the σNNNΔHub enhances the cross-sections by a factor of 8.56 at 0.4A GeV relative to the σNNNΔUrQMD. The above conclusion is not modified by using the different values of S0 and L, i.e., in the range of S0 = 30,34 MeV and L=5-144 MeV. Thus, /Apart alone cannot be used to distinguish between the different forms of symmetry energy.

Fig. 6
(Color online) (a) /Apart, and (b) π-/π+ as a function of L for 197Au+197Au collisions with σNNNΔHub at S0=30 MeV (violet lines) and S0=34 MeV (red lines), with σNNNΔUrQMD (blue line) and σNNNΔOBEM (orange line) at S0=32.5 MeV. The shaded region is the FOPI data [67]
pic

In Fig. 6 (b), we present the calculated ratios π-/π+ as a function of L with different forms of σNNNΔ and S0. These calculations indicate that π-/π+ is sensitive to L and σNNNΔ. Using σNNNΔUrQMD or σNNNΔOBEM leads to fewer pions, but increase the values of π-/π+ which fall into the data region for L=5-144 MeV. Even calculations with σNNNΔUrQMD or σNNNΔOBEM can reproduce the π-/π+ data (the blue and orange lines); however, one cannot make this conclusion because the pion multiplicity is underestimated relative to the data. For the calculations with σNNNΔHub, the data of both /Apart and π-/π+ can be reproduced with the L=5-70 MeV and S0=30-34 MeV parameter sets.

However, one should keep in mind that the integral observable, i.e., the pion multiplicity, is less influenced by pion potential due to the cancellation effects from pion potential and threshold effects [70]. To deeply understand the effect from pion-nucleon potential, a differential observable, such as the energy spectral of pion yields and charged pion rations or pionic flow, is suggested [71, 30] and it should be further studied in both the theoretical and experimental sides.

4

The symmetry energy constraints and its model dependence

4.1
The characteristic densities of pion and nucleonic flow observables

Before extracting the symmetry energy constraints at the suprasaturation density with collective flow and charged pion production, it is interesting to check the characteristic density probed by charged pion production and nucleonic flow observable, i.e., ρcharπ and ρcharflow. The characteristic density of the pion observable is obtained by folding the compressed density with the pion production rate and the force acting on Δs in the spatiotemporal domain in our previous work [28], which showed that ρcharπ is approximately 1.5± 0.5 ρ0. This value was consistent with the results reported in Refs.[30, 72-76], but higher than the results in Ref. [77]. In this section, we investigate ρcharflow and discuss the recent symmetry energy constraints at ρcharflow and ρcharπ.

For the collective flow of neutrons and charged particles, the idea to calculate the characteristic density ρcharflow is the same as ρcharπ in our previous work [28]; however, the weight was replaced by the momentum change of the nucleons. The momentum change of the nucleons during this time interval reflects the strength of the driving force for the collective motion of the emitted particles and can be used to understand the origins of v1 and v2.

In the following calculations, two kinds of momentum change of nucleons were used. One is the momentum change in the reaction plane, that is, |Δpx|, which can be used to quantitatively describe the characteristic density probed by v1. The corresponding characteristic density ρchar,|Δpx|flow is defined as ρchar,|Δpx|flow=t0t1i|Δpxi(t)/Δt|ρc(t)dtt0t1i|Δpxi(t)/Δt|dt (8) The other is the momentum change in the transverse direction, i.e., |Δpt|, which can be used to quantitatively describe that probed by v2, and we calculate the ρchar,|Δpt|flow as follows: ρchar,|Δpt|flow=t0t1i|Δpti(t)/Δt|ρc(t)dtt0t1i|Δpti(t)/Δt|dt. (9) The summation over i runs over the nucleons belonging to the emitted nucleons and charged particles. For more details, |Δpx/ti(t)/Δt|=|(px/ti(t)px/ti(tΔt))/Δt| is the change in the momentum of the nucleons during the time interval. The average central density ρc(t) was obtained in a spherical region centered at the c.m. of the system with a radius of 3.35 fm. This region represents the overlapping region in the semi-peripheral collisions of Au+Au.

Using Eqs.(8) and (9), the characteristic densities of the collective flow were obtained to be approximately 1.2± 0.6ρ0. This is consistent with the characteristic densities obtained in Ref.[75] and Ref.[78]; however, it is smaller than the characteristic density obtained with pion observables.

Thus, by comparing the isospin-sensitive flow observable calculations v2n/v2ch(pt/A), v2n/v2H(pt/A), v2n/v2p(y0lab), v2n/v2H, v2n/v2p, v2nv2H, v2nv2p, and the pion observables π-/π+ with the data, we can obtain the symmetry energy constraints at their characteristic densities, that is, 1.2 ± 0.6 ρ0 and 1.5 ± 0.5 ρ0.

4.2
The symmetry energy at characteristic densities and its model dependence

In Fig. 7 (a) and (b), we present the symmetry energy values at their characteristic densities, i.e., S(1.2ρ0) and S(1.5ρ0), obtained in this study (red symbols with errors). The uncertainties are the differences between the lower and upper boundaries of the favored symmetry energy parameter sets. The upper boundary of the symmetry energy was obtained with the symmetry energy with (S0, L)=(34,70) MeV, and the lower boundary was obtained with the symmetry energy with (S0, L)=(30,5) MeV. For the historical constraints on the symmetry energy [14-16, 21-23, 25-31, 70, 79], we calculate the density dependence of symmetry energy according to the constraints given in previous studies. Subsequently, the values of S(1.2ρ0) and S(1.5ρ0) and their uncertainties were similarly obtained. Th e results are represented by blue symbols with errors.

Fig. 7
(a) and (b) are the constraints of S(1.2ρ0) and S(1.5ρ0) in this study (red symbols) and from the previous study (blue symbols)
pic

The S(1.2ρ0) values obtained in this study were between 30 and 38 MeV. This is slightly lower than the constraints from the analyses of elliptic flow ratios or elliptic flow differences using the previous version of the UrQMD [16, 31] and TüQMD models [15, 18], which are in the 34-48 MeV range. The S(1.5ρ0) value obtained in this study ranged from 28-44 MeV, which can overlap with the recent constraints by comparing SπRIT data with dcQMD [30] (S(1.5ρ0)=38-72 MeV) and IBUU models [29] (S(1.5ρ0)=35-47 MeV) within their uncertainties. Our results can also overlap with the previous constraints from the FOPI data by using the previous UrQMD version [28] by Liu et al, TüQMD [27] by Cozma et al, RVUU [70, 26] by Zhang et al, χBUU [79] by Zhang et al, pBUU [25] by Hong et al, and IBUU [21] by Xiao et al; however, they can overcome the constraints by using the isospin-dependent Boltzmann-Langevian (IBL) [23] model by Xie et al and the Lanzhou quantum molecular dynamics (LQMD) model [22] by Feng et al.

To quantitatively describe the theoretical uncertainties caused by the model dependence, a quantity, δmodel(ρ*)=Smax(ρ*)Smin(ρ*), (10) is adopted. Smax(ρ*) and Smin(ρ*) are the largest and smallest values of the symmetry energy constraints at ρ* among the different models. The larger the model dependence, the larger the δmodel. If there is no model dependence, δmodel will be one. For the symmetry energy constraints at 1.2ρ0 using the FOPI-LAND and ASY-EOS flow data, that is, S(1.2ρ0), the δmodel is 1.45. For the symmetry energy constraints at 1.5ρ0 using the FOPI and SπRIT pion data, that is, S(1.5ρ0), the δmodel is 2.75. These values are smaller than the model dependence described by the extrapolated symmetry energy at 3ρ0, that is, S(3ρ0), which is δmodel(3ρ0) = 170. This clearly indicates that simply extrapolating the symmetry energy constraints from the characteristic density to other densities may lead to a misunderstanding of the symmetry energy constraints via HICs.

4.3
Remarks on the symmetry energy constraints at 0.1-3.0 ρ0

Notably, presenting the symmetry energy only at 1.2ρ0 and 1.5ρ0 is incomplete because the probed density region using flow and pion observables is in a wide density region, that is, in 1.2±0.6ρ0 for flow observables and 1.5± 0.5ρ0 for pion observables. In Fig. 8 (a), we present the constrained symmetry energy in the flow characteristic density region (0.6-1.8ρ0) as a pink shaded region, and the constraints in the pion characteristic density region (1.0–2.0ρ0) with a violet shaded region. This completely overlaps with the constraints from the theoretical calculation using the chiral effective field theory (χEFT)[80] (green region); however, the uncertainty is larger than that from χEFT. Compared with the analyses of the SπRIT data obtained using dcQMD [30], the symmetry energy constraint in the high-density region is relatively small. However, it can overlap with the uncertainty.

Fig. 8
(Color online) (a) The density dependence of symmetry energy constraints in this study at 1.2± 0.6 ρ0 region (wink region) and at the 1.5± 0.5 ρ0 region (violet region). Other constraints are obtained from Ref. [72] (cyan region) and Ref.[80] (green region). (b) The density dependence of the corresponding pressure of neutron star matter in this study (violet region) and the extrapolation (violet dash lines), and the pressure constraints of neutron star matter obtained by Drischler et al.[80] (green region), Legred et al. [87] (pink region), and Huth et al. [73] (cyan region)
pic

For symmetry energies below 0.6ρ0 and above 2ρ0, one can only infer the symmetry energy values by extrapolation because the symmetry energy information in these density regions is beyond the flow capability and pion observables at 0.4A GeV. The extrapolated symmetry energy below 0.6ρ0 is consistent with the results from the neutron to proton yield ratios in HICs (HIC(n/p)) [81], the isospin diffusion in HICs (HIC(isodiff)) [82], the nuclear mass calculated by the Skyrme energy-density functional (Skyrme-EDF[A12])(Mass(Skyrme)) [83] and density functional theory (DFT) (Mass(DFT))[84], isobaric analog state (IAS) [85], and electric dipole polarization αD[86], decoded by Lynch and Tsang in Ref. [72]. However, the uncertainties of the constraints using HICs in this study were larger than those of these observables. The extrapolated symmetry energy above 2ρ0 is weaker than that obtained from the neutron star by Drischler et al. [80], Legred et al. [87], and Huth et al. [73], as shown in Fig. 8 (b). This discrepancy may be related to the momentum-dependent symmetry potential uncertainties, which may provide the same symmetry energy density dependence but with different effects on the isospin-sensitive observables [46, 88-93]. Thus, investigating the form of the momentum-dependent symmetry potential is very important in HICs.

5

Summary and outlook

In summary, we investigated the influence of different momentum-dependent interactions, symmetry energy and NNNΔ cross-sections on nucleonic and pion observables, such as v1n(pt/A), v1ch(pt/A), v2n(pt/A), v2ch(pt/A), v2n(pt/A), v2H(pt/A), v2n(y0lab), v2p(y0lab), v2n/v2ch(pt/A), v2n/v2H(pt/A), v2n/v2p(y0lab), v2n/v2H, v2n/v2p, v2nv2H, v2nv2p, , and π-/π+, using the UrQMD model for Au+Au collision at a beam energy of 0.4A GeV. Our results confirm that the elliptic flows of neutrons and charged particles, i.e., v2n and v2ch, are sensitive to momentum-dependent interactions. The ASY-EOS and FOPI-LAND flow data favor calculations with strong momentum-dependent interactions, that is, vmdHama. However, calculations with vmdHama underestimate the pion multiplicity by approximately 30% relative to FOPI data if the σNNNΔUrQMD is adopted. Our calculations illustrate that the underestimation can be fixed by considering the accurate NNNΔ cross-sections σNNNΔHub in the UrQMD model.

Furthermore, the symmetry energy constraints at the flow and pion characteristic densities were investigated using the updated UrQMD model. The characteristic density probed by the flow is approximately 1.2ρ0, which is smaller than the pion characteristic density of 1.5ρ0 [28]. By simultaneously describing the data of v2n/v2ch(pt/A), v2n/v2H(pt/A), v2n/v2p(y0lab), v2n/v2p, v2n/v2H, v2nv2p, v2nv2H, and π-/π+ with UrQMD calculations, the favored effective interaction parameter sets are obtained and we got the S(1.2ρ0)=34± 4 MeV and S(1.5ρ0)=36± 8 MeV. The extrapolated values of L in this work are in 5-70 MeV within 2σ uncertainty for S0=30-34 MeV, which is below the analysis of the PREX-II results with a specific class of relativistic energy density functional [94], but is consistent with the constraint from the charged radius of 54Ni [95], resulting from combining the astrophysical data with PREX-II and χEFT [96], and from the SπRIT pion data for the Sn+Sn collision at 0.27A GeV [30].

For the model dependence of the symmetry energy constraints, our calculations show that the strengths of the model dependence among the different transport models are 1.45 and 2.75 for the symmetry energy at the flow and pion characteristic density, respectively. These values are obviously smaller than the strength of the model dependence described by the symmetry energy at three times the normal density, which is 170.

Finally, simultaneously describing the ASY-EOS and FOPI data provides a rigorous limit on the UrQMD model and a solid foundation to further understand the effects of unsolved physics problems, such as the threshold effect, the pion potential, and the momentum-dependent symmetry potential.

Notably, the discrepancies in v2n and v2p at high pt and rapidity relative to the data demonstrate the importance of the momentum dependence of the symmetry potential, as mentioned in Refs. [68, 77, 69], which should be investigated using the momentum and rapidity distributions of the nucleonic and pionic probes in the future. Another important direction for developing the transport model and limiting its uncertainties is describing the nucleonic and pionic flow observables and their spectra at subthreshold energies and above 1 GeV/u. This will help to further understand the pion production mechanism and provide the symmetry energy constraints twice beyond the normal density with HICs.

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