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 (
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
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
For the cross sections of the
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
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
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
We focused on the impacts of different forms of the MDI, symmetry energy, and
The energy density associated with the MDI, i.e., umd, is calculated according to the following relationship:
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
Para | t4 | t5 | c | α | β | η | K0 | m*/m |
---|---|---|---|---|---|---|---|---|
1.57 | 5×10-4 | -54 | -221 | 153 | 1.31 | 231 | 0.77 | |
3.058 | 5×10-4 | -86 | -335 | 253 | 1.16 | 231 | 0.635 |
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
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 |
For the L<35 MeV case, we used the Skyrme-type polynomial form of
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
-202503/1001-8042-36-03-009/alternativeImage/1001-8042-36-03-009-F002.jpg)
As shown in Fig. 2 (a), the
Additionally, we present another form of
For the
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.,
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
observable | experimental data | IBUU | IBL | LQMD | pBUU | RVUU | χBUU | TüQMD | UrQMD-HZU | UrQMD-CIAE |
---|---|---|---|---|---|---|---|---|---|---|
ASY-EOS[31] | - | - | - | - | - | - | - | +[31] | + | |
ASY-EOS[31] | - | - | - | - | - | - | +[18] | +[31] | + | |
ASY-EOS[31] | - | - | - | - | - | - | - | +[31] | + | |
ASY-EOS[31] | - | - | - | - | - | - | +[18] | +[31] | + | |
ASY-EOS[31] | - | - | - | - | - | - | +[18] | +[31] | + | |
FOPI-LAND[14] | - | - | - | - | - | - | +[18] | +[14] | + | |
FOPI-LAND[14] | - | - | - | - | - | - | +[18] | +[14] | + | |
FOPI-LAND[14] | +[17] | - | - | - | - | - | +[18] | +[14] | + | |
FOPI-LAND[14] | +[17] | - | - | - | - | - | +[18] | - | + | |
FOPI-LAND[14] | - | - | - | - | - | - | +[18] | +[16] | + | |
FOPI-LAND[14] | - | - | - | - | - | - | +[18] | - | + | |
FOPI-LAND[14] | - | - | - | - | - | - | +[18] | +[16] | + | |
FOPI-LAND[14] | +[17] | - | - | - | - | - | +[18] | +[16] | + | |
FOPI-LAND[14] | - | - | - | - | - | - | - | +[16] | + | |
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] |
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
-202503/1001-8042-36-03-009/alternativeImage/1001-8042-36-03-009-F003.jpg)
Figure 3 (c) and (d) show the elliptic flow of neutrons
In addition to MDI, the
Figure 4 shows the calculated results on the elliptic flow of neutrons, protons, and H isotopes. Panels (a) and (b) show
To single out the contributions of the isovector potential and cancel those of the isoscalar potentials,
-202503/1001-8042-36-03-009/alternativeImage/1001-8042-36-03-009-F005.jpg)
Figure 5 (c) and (e) depict the calculated
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],
Pion productions and charged pion yield ratios
Figure 6 (a) shows the calculated pion multiplicity per participant Mπ/Apart as a function of L with different
-202503/1001-8042-36-03-009/alternativeImage/1001-8042-36-03-009-F006.jpg)
In Fig. 6 (b), we present the calculated ratios π-/π+ as a function of L with different forms of
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.
The symmetry energy constraints and its model dependence
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.,
For the collective flow of neutrons and charged particles, the idea to calculate the characteristic density
In the following calculations, two kinds of momentum change of nucleons were used. One is the momentum change in the reaction plane, that is,
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
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.
-202503/1001-8042-36-03-009/alternativeImage/1001-8042-36-03-009-F007.jpg)
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,
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.
-202503/1001-8042-36-03-009/alternativeImage/1001-8042-36-03-009-F008.jpg)
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.
Summary and outlook
In summary, we investigated the influence of different momentum-dependent interactions, symmetry energy and
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
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
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