logo

Anisotropic flow in high baryon density region

NUCLEAR PHYSICS AND INTERDISCIPLINARY RESEARCH

Anisotropic flow in high baryon density region

Shao-Wei Lan
Shu-Su Shi
Nuclear Science and TechniquesVol.33, No.2Article number 21Published in print Feb 2022Available online 25 Feb 2022
56402

Collective flow is a powerful tool used to analyze the properties of a medium created during high-energy nuclear collisions. Here, we report a systematic study of the first two Fourier coefficients v1 and v2 of the proton and π+ from Au+Au collisions in the energy range sNN = 2.11 – 4.9 GeV within the framework of a hadronic transport model (UrQMD). Recent results from the STAR experiment were used to test the model calculations. A mean-field mode with strong repulsive interaction is needed to reproduce the 10–40% data at 3 GeV. This implies that hadronic interactions play an important role in the collective flow development in the high-baryon-density region. The mean values of the freeze-out time for protons and π+ are shifted earlier owing to the additional repulsive interactions. We predict the energy dependence of the mean values of the transverse momentum pT, v1, and v2 for both protons and π+ from the Au+Au collisions.

Video Abstract

Heavy-ion collisionsQCD phase diagramUrQMDCollective flowMean-field potential
1

Introduction

The exploration of quantum chromodynamics (QCD) phase diagrams and nuclear matter properties has been one of the most important motivations for relativistic heavy-ion collisions[1-6]. The region of high temperature and vanishing baryon chemical potential of the QCD phase diagram, where the phase transition from hadronic matter to quark-gluon plasma (QGP) [7] is a smooth crossover, has been well studied in experiments at the RHIC [8, 9, 10] and LHC [11, 12]. Theoretical calculations suggest that there may exist a critical end point in the finite baryon chemical potential region [13]. It is well known that several observables, such as directed flow [14-17] and moments of distributions of conserved charges [19], have been proposed to be sensitive to critical behavior. In the RHIC Beam Energy Scan phase I program (BES-I), the non-monotonic behavior of the net proton directed flow slope with respect to rapidity as a function of collision energy is observed, and the minimum of the distribution suggests the softest point of the equation of state (EoS) or prediction of the critical end point [18].

The collective flow [20, 21] has been extensively used to study the transverse properties of hot and dense matter created in heavy-ion collisions owing to their sensitivity to expansion dynamics. They are defined by the coefficients of the Fourier expansion of the azimuthal distribution of the emitted particles with respect to the reaction plane: [22] Ed3Nd3p=12πd2NpTdpTdy[1+2n=1vncos[n(ϕΨRP)]]. (1) Here, ϕ is the azimuthal angle of the emitted particles, and ΨRP is the reaction plane angle. In this simulation, the reaction plane angle, ΨRP, is zero. The coefficients, vn, can then be determined by vn=cos[n(ϕ)], where the average runs over all particles in all events. The first two coefficients, v1 and v2, are of particular interest as they are established early during the system evolution. Recently, the STAR experiment has reported new results for collective flow at sNN = 3 GeV [23, 24], which corresponds to a region with a high baryon density of 750 MeV [25]. The data suggest that hadronic interactions dominate the EoS in collisions at such energies. Exploring the phase structure in the high baryon density region is the main task of the second phase of the beam energy scan at the RHIC (BES-II) program [26], as well as the motivation for future facilities: such as the facility for proton and ion research (FAIR) [27], nuclotron-based ion collider facility (NICA) [28], and high-intensity heavy-ion accelerator facility (HIAF) [29, 30]. Regarding collectivity concerns, the responses of baryons and mesons are quite different. For example, we will focus on the collective measurements of protons, representative of baryons, and π+s, representative of produced mesons. In the case of pions, if the effect of isospin is neglected, there should be no differences in the flow of π+ and π-. Calculations of Au+Au collisions from a hadronic transport model UrQMD [31, 32] will be used in this study.

This paper is organized as follows: The basic features of the UrQMD model are briefly discussed in Sect. 2. In Sect. 3, we present a v1 and v2 comparison between the UrQMD calculations and recent STAR preliminary results at sNN = 3 GeV. The results of the energy dependence of v1 and v2 from UrQMD are also discussed. Finally, a summary is provided in Sect. 4.

2

The UrQMD Model

The ultra-relativistic quantum molecular dynamics model (UrQMD) [31, 32] is a microscopic transport model for simulating the process of relativistic heavy-ion collisions. It has been widely and successfully used for studying pp, pA, and AA collisions in heavy-ion collision physics over a broad energy range from a few GeV to CERN LHC energies. The particle production in UrQMD is similar to other transport models, which include resonance excitation and decay, as well as string dynamics and strangeness exchange reactions. The propagation of these hadrons and their exacted states is based on binary elastic and inelastic scattering, in which the scattering cross-sections are obtained from experimental data and models. The cascade version of the UrQMD model successfully describes the particle production, as well as directed flow measurements in heavy-ion collisions at collision energies sNN > 7 GeV [33, 34]. However, at lower collision energies, it is necessary to include the mean-field potential to describe the collective flow in the high baryon density region [36, 35, 37, 38, 39]. A baryonic skyrme-potential [36, 35], based on the relative baryon density, is popularly used for heavy-ion collisions, which defines the nuclear EoS: U=α(ρρ0)+β(ρρ0)γ. (2) Here, ρ and ρ0 are the baryon density is the ground-state and baryon density, respectively. By changing the parameters α, β, and γ, the stiffness of the nuclear EoS can be controlled. In this study, the parameters α, β, and γ are -124 MeV, 71 MeV, and 2, respectively, corresponding to a nuclear incompressibility of κ = 380 MeV. This value of κ was also used in this study [38], which is consistent with the HADES collective flow measurements at sNN = 2.4 GeV [44]. Note that the value of κ depends on the collision energy and can be model dependent. As discussed in Ref. [39-43], the extracted values of κ are below 300 MeV for Au+Au collisions at lower energies. The momentum-dependent potential is not included in the mean field in this study.

In this work, we use version 3.4 of the UrQMD model to generate Monte Carlo event samples of Au+Au collisions at center of mass energies of sNN = 2.11, 2.22, 2.32, 2.4, 2.51, 2.7, 2.86, 3.0, 3.5, 4.5 and 4.9 GeV, corresponding to beam kinetic energies of 0.5, 0.7, 1.0, 1.23, 1.5, 2.0, 2.5, 2.91, 4.65, 8.9 and 11 GeV per nucleon, respectively. Both cascade and mean-field modes of UrQMD are used to systematically study the collective flow in the high baryon-density region.

3

Results and Discussions

Following the STAR experimental analysis procedures, the collision centrality in this study is determined by the reference multiplicity, which is the number of charged pions, kaons, and protons within the pseudorapidity range |η| < 0.5 [45]. In Fig. 1, the reference multiplicity distribution in Au+Au collisions with the UrQMD cascade version from the center-of-mass energy sNN = 2.11 – 4.9 GeV is shown. These hadrons are produced more copiously at higher collision energies. The collision centrality bins for each energy can be determined by fitting the Glauber model [46]. In the following discussion, we report results from the 10–40% centrality bin where the collectivity, is expected to have the maximum strength, especially the second order of the Fourier coefficient v2.

Figure 1
(Color online) Reference multiplicity distribution in UrQMD with cascade mode in Au+Au collisions at sNN = 2.11–4.9 GeV. Similar to the experimental setup, the charged particles were measured within |η|< 0.5.
pic

According to the recent STAR collective flow measurements at sNN = 3 GeV [23, 24], the UrQMD model results from both mean-field and cascade modes are compared with experimental data for the same centrality interval and kinematic selection criteria. Figure 2 presents the rapidity dependence of v1 and v2 for proton and π+ in 10–40% centrality Au+Au collisions at sNN = 3 GeV. The symbols denote the STAR data. The red and blue bands represent the results from the UrQMD mean-field and cascade mode, respectively. Due to the experimental acceptance, only the negative rapidity range results are shown [23].

Figure 2
(Color online) Rapidity dependence of v1 (top panel) and v2 (bottom panel) of the proton and π+ in the 10–40% centrality Au+Au collision at sNN = 3 GeV. The symbols denote STAR data. The red and blue bands represent the results from the UrQMD mean-field and cascade mode, respectively.
pic

Negative v2 values were observed at mid-rapidity for both protons and π+ at sNN = 3 GeV, indicating the shadowing effect of the passing spectators. Meanwhile, the proton v2 is positive in the forward rapidity region. For the v1 results, a strong v1 signal was observed compared to the high-energy results [47]. The proton v1 increases from the forward to mid-rapidity region, whereas π+ v1 exhibited the opposite trend. The standard UrQMD cascade mode failed to describe the experimental data. However, by including the mean-field potential, the UrQMD results reproduce the rapidity dependence and negative v2 values at mid-rapidity for both protons and π+. These agreements between the experimental data and UrQMD calculations with mean-field potential imply that hadronic interactions play an important role in the collective flow development at such collision energies. Similar to Fig. 2, we present the pT dependence of v1 and v2 for protons and π+ in 10–40% centrality Au+Au collisions at sNN = 3 GeV in Fig. 3. The mid-rapidity range of -0.5 < y < 0 for protons and π+ are used in this analysis, which is consistent with the STAR experimental selection. Both v1 and v2 are negative and decrease with increasing pT. Again, the red bands shown in the figure indicate the UrQMD results with mean-field potential, which can reproduce the pT dependence and qualitatively describe the experimental data. However, quantitative differences are visible in some pT bins for both protons and π+.

Figure 3
(Color online) Transverse momentum dependence of v1 (top panel) and v2 (bottom panel) of the proton and π+ in the 10–40% centrality Au+Au collision at sNN = 3 GeV. The symbols denote STAR data. The red and blue bands represent the results from the UrQMD mean-field and cascade mode, respectively.
pic

We systematically studied the mean-field potential effect on the particle production, directed flow, and elliptic flow development in the high baryon density region. The particle production yield as a function of kinetic freeze-out time for protons and π+ in 3 GeV Au+Au central collisions (0–10%) at mid-rapidity (|y|< 0.5) is presented in Fig. 4. The red and blue lines represent the results from the UrQMD mean-field and cascade modes, respectively. Note that these two distributions were normalized by the number of events. Overall, hadrons are produced mostly during kinetic freeze-out in the time interval 10–25 fm/c. The mean value of the distribution is shown in each panel using the corresponding colors. It can be seen that the mean value from the mean-field version is smaller than that of the cascade version. This can be explained by the larger pressure generated by the density dependent fields, which drives the strong expansion. Thus, these hadrons are pushed outside the system and freeze out earlier than those from the cascade mode.

Figure 4
(Color online) Particle production yield as a function of freeze-out time for proton (left panel) and π+ (right panel) from UrQMD 3 GeV 0–10% Au+Au collisions. The red and blue lines represent the results from the mean-field and cascade modes, respectively.
pic

To quantify the strength of directed flow at mid-rapidity, a linear fit is employed to extract the slope of the v1(y) distribution [47, 18], as shown in Fig. 2. The directed flow is exactly zero at y = 0 owing to the momentum conservation effect. Figure 5 presents the v1 slopes dv1/dy|y=0 and elliptic flow v2 at mid-rapidity as a function of kinetic freeze-out time (t) for proton and π+ in 3 GeV Au+Au mid-central collisions (10–40%), the red and blue bands represent the results from the UrQMD mean-field and cascade mode, respectively. Both v1 and v2 are established in the very early stage of the system evolution and show a rapid increase for t ≲ 15 fm/c. They then increased slightly with increasing freeze-out time. As can be seen in the figure, the v1 values for the mid-rapidity proton and pion start from below zero before turning into positive values at a later time, as experimentally observed. Owing to the baryonic mean-field, at t 1˜ 5 fm/c, the v1 slope for the proton is much larger than that of π+, especially in the results for the mean-field mode. Conversely, while the cascade predicts an in-plane expansion, for example, positive v2 for both protons and pions, the mean-field tends to keep the incoming nucleons together. As a result, shadowing seems to be sustained throughout the collision period, leading to negative values of v2 and out-of-plane expansion at this energy. In short, compared to the cascade mode, the mean-field potential provides a stronger expansion in the x-z plane (v1) and an effective blocking that leads to the expansion in the y-z plane (v2) in Au+Au collisions at 3 GeV.

Figure 5
(Color online) v1 slopes (dv1/dy|y=0) and v2 at mid-rapidity as a function of freeze-out time for proton (left panel) and π+ (right panel) from UrQMD 3 GeV 10–40% Au+Au collisions. The red and blue bands represent the results from the mean-field and cascade modes, respectively.
pic

The mean transverse momentum pT as a function of collision energy sNN at a mid-rapidity of |y|< 0.5 for protons and π+ in UrQMD 10–40% Au+Au collisions is shown in Fig. 6. The red and blue symbols represent the results from the cascade and mean-field modes, respectively. It can be observed that pT increases with increasing collision energy for both particle species owing to the higher energies distributed in the transverse direction. The mean-field potential slightly increases pT for all particles as a result of the increased radial flow. The increase in pT is greater for heavier particle protons. The enhancement in the mean-field mode is due to the more repulsive interactions in the high-baryon-density region.

Figure 6
(Color online) Mean transverse momentum pT as a function of collision energy for proton (squares) and π+ (circles) from UrQMD 10–40% Au+Au collisions. The red and blue symbols represent the results from the mean-field and cascade modes, respectively.
pic

We will now discuss the energy dependence of directed and elliptic flows from UrQMD and compare this with world experimental data. Figure 7 shows the energy dependence of the mid-rapidity slope of directed flow (dv1/dy|y=0) in 10–40% centrality Au+Au collisions. The transverse momentum range in the UrQMD calculations for proton and π+ is 0.4 < pT < 2.0 GeV/c and 0.2 < pT < 1.6 GeV/c, respectively, which is consistent with the STAR 3 GeV results [23]. The black symbols denote the world experimental data [48, 50, 23]. The red and blue symbols represent the calculations from the UrQMD mean-field and cascade modes, respectively. For the π+ v1 and v2 measurements, only the STAR results from sNN = 3 and 4.5 GeV are available. The proton dv1/dy|y=0 values increase with decreasing collision energy for both the UrQMD cascade and mean-field calculations. While the mean-field potential significantly enhances the dv1/dy|y=0 values, allowing comparison with the experimental data for both protons and π+. However, there are still some differences relating to the choice of the pT range. As we can see in Fig. 2, v1 has a strong pT dependence at such a low energy.

Figure 7
(Color online) v1 slopes (dv1/dy|y=0) at mid-rapidity as a function of collision energy for proton (left panel) and π+ (right panel) from UrQMD 10–40% Au+Au collisions. The red and blue symbols represent the results from the mean-field and cascade modes, respectively. World experimental data are represented by black symbols.
pic

The energy dependence of the elliptic flow at mid-rapidity in 10–40% centrality Au+Au collisions is shown in Fig. 8. The black symbols denote the world experimental data [49, 50, 23]. Both the sign and absolute value of v2 reflect the medium properties. v2 increases as a function of the collision energy. The results from the cascade mode are always above the results from the mean-field mode, but both converge at a high energy of approximately 5 GeV. At approximately 2.4 GeV, the proton v2 has already changed from a negative to positive value in the cascade mode, and the change occurs at a much higher energy in the case of the mean-field calculation. According to world data, the proton elliptic flow transits from in-plane expansion to out-of-plane expansion at sNN 3.6 GeV as a result of the shadowing effect, where particles are blocked in the reaction plane by the spectators and are emitted mainly in the out-of-plane direction. In Fig. 8, the UrQMD calculations with the mean-field potential qualitatively describe the experimental data for both protons and π+, and are quantitatively consistent with the data for sNN< 3.6 GeV.

Figure 8
(Color online) Similar to Fig. 7: v2 at mid-rapidity as a function of the collision energy for protons (left panel) and π+ (right panel) from UrQMD to 10–40% Au+Au collisions.
pic
4

Summary

A hadronic transport model, UrQMD, was employed to study the directed and elliptic flows in the high baryon density region. The model provides a good description of the recent STAR results of 10–40% Au+Au collisions at sNN = 3 GeV by including the mean-field potential. This indicates that hadronic interactions play an important role in the collective flow development in the high-baryon-density region. Other measurements from the 3 GeV Au+Au collisions, including strangeness production [51] and high moments of protons [52], also suggest that hadronic interactions dominate the dynamics in the high baryon density region.

The results of the time evolution of directed and elliptic flows show that the collective flow is fully developed at 1˜ 0-15 (fm/c).

The mean-field potential slightly enhances pT because of the stronger radial expansion, and shifts the freeze-out to an earlier time. In addition, compared to the cascade mode, the mean-field option delays the proton v2 crossing zero as a function of collision energy, from sNN = 2.5 to 3.5 GeV. A negative or positive v2 corresponds to an out-of-plane or in-plane expansion, respectively.

These results will be useful for understanding experimental data from upcoming experimental facilities focused on the high baryon density region.

References
[1] A. Bzdak, S. Esumi, V. Koch et al.,

Mapping the phases of quantum chromodynamics with beam energy scan

. Phys. Rep. 853, 1-87 (2020). doi: 10.1016/j.physrep.2020.01.005
Baidu ScholarGoogle Scholar
[2] X. Luo, S. Shi, Y. Zhang et al.,

A study of the properties of the QCD phase diagram in high-energy nuclear collisions

. Particles 3, 278-307 (2020). doi: 10.3390/particles3020022
Baidu ScholarGoogle Scholar
[3] C. Shen, L. Yan,

Recent development of hydrodynamic modeling in heavy-ion collisions

. Nucl. Sci. Tech. 31, 122 (2020). doi: 10.1007/s41365-020-00829-z
Baidu ScholarGoogle Scholar
[4] Z. Tang, W. Zha, Y. Zhang,

An experimental review of open heavy flavor and quarkonium production at RHIC

. Nucl. Sci. Tech. 31, 81 (2020). doi: 10.1007/s41365-020-00785-8
Baidu ScholarGoogle Scholar
[5] Z. Lin, L. Zheng,

Further developments of a multi-phase transport model for relativistic nuclear collisions

. Nucl. Sci. Tech. 32, 113 (2021). doi: 10.1007/s41365-021-00944-5
Baidu ScholarGoogle Scholar
[6] S. Wu, C. Shen, H. Song,

Dynamically exploring the QCD matter at finite temperatures and densities: A short review

. Chin. Phys. Lett. 38, 081201 (2021). doi: 10.1088/0256-307X/38/8/081201
Baidu ScholarGoogle Scholar
[7] E. Shuryak,

Quark-gluon plasma and hadronic production of leptons, photons and psions

. Phys. Lett. B 78, 150-153 (1978). doi: 10.1016/0370-2693(78)90370-2
Baidu ScholarGoogle Scholar
[8] A. Adare, S. Afanasiev, C. Aidala et al. (PHENIX Collaboration),

Scaling properties of azimuthal anisotropy in Au + Au and Cu + Cu collisions at sNN = 200 GeV

. Phys. Rev. Lett. 98, 162301 (2007). doi: 10.1103/PhysRevLett.98.162301
Baidu ScholarGoogle Scholar
[9] B. I. Abelev, M.M. Aggarwal, Z. Ahammed et al. (STAR Collaboration),

Partonic flow and ϕ-meson production in Au + Au collisions at sNN = 200 GeV

. Phys. Rev. Lett. 99, 112301 (2007). doi: 10.1103/PhysRevLett.99.112301
Baidu ScholarGoogle Scholar
[10] L. Adamczyk, J.K. Adkins, G. Agakishiev et al. (STAR Collaboration),

Measurement of D0 azimuthal anisotropy at midrapidity in Au + Au collisions at sNN = 200 GeV

. Phys. Rev. Lett. 118, 212301 (2017). doi: 10.1103/PhysRevLett.118.212301
Baidu ScholarGoogle Scholar
[11] K. Aamodt, B. Abelev, A. Abrahantes Quintana et al. (ALICE Collaboration),

Higher harmonic anisotropic flow measurements of charged particles in Pb-Pb collisions at sNN = 2.76 TeV

. Phys. Rev. Lett. 107, 032301 (2011). doi: 10.1103/PhysRevLett.107.032301
Baidu ScholarGoogle Scholar
[12] G. Aad, B. Abbott, J. Abdallah et al. (ATLAS Collaboration),

Measurement of the azimuthal anisotropy for charged particle production in sNN = 2.76 TeV lead-lead collisions with the ATLAS detector

. Phys. Rev. C 86, 014907 (2012). doi: 10.1103/PhysRevC.86.014907
Baidu ScholarGoogle Scholar
[13] Z. Han, B. Chen and Y. Liu,

Critical Temperature of Deconfinement in a Constrained Space Using a Bag Model at Vanishing Baryon Density

. Chin. Phys. Lett. 37, 112501 (2020). doi: 10.1088/0256-307x/37/11/112501
Baidu ScholarGoogle Scholar
[14] H. Stöcker and W. Greiner,

High energy heavy ion collisions—probing the equation of state of highly excited hardronic matter

. Phy. Rep. 137, 277-392 (1986). doi: 10.1016/0370-1573(86)90131-6
Baidu ScholarGoogle Scholar
[15] Y. Nara, H. Niemi, J. Steinheimer et al.,

Equation of state dependence of directed flow in a microscopic transport model

. Phys. Lett. B 769, 543-548 (2017). doi: 10.1016/j.physletb.2017.02.020
Baidu ScholarGoogle Scholar
[16] Y. Nara, H. Niemi, A. Ohnishi et al.,

Examination of directed flow as a signature of the softest point of the equation of state in QCD matter

. Phys. Rev. C 94, 034906 (2016). doi: 10.1103/PhysRevC.94.034906
Baidu ScholarGoogle Scholar
[17] C. Zhang, J. Chen, X. Luo et al.,

Beam energy dependence of the squeeze-out effect on the directed and elliptic flow in Au + Au collisions in the high baryon density region

. Phys. Rev. C 97, 064913 (2018). doi: 10.1103/PhysRevC.97.064913
Baidu ScholarGoogle Scholar
[18] L. Adamczyk, J.K. Adkins, G. Agakishiev et al. (STAR Collaboration),

Beam-Energy Dependence of the Directed Flow of Protons, Antiprotons, and Pions in Au+Au Collisions

. Phys. Rev. Lett. 112, 162301 (2014). doi: 10.1103/PhysRevLett.112.162301
Baidu ScholarGoogle Scholar
[19] J. Adam, L. Adamczyk, J.R. Adams et al. (STAR Collaboration),

Nonmonotonic Energy Dependence of Net-Proton Number Fluctuations

. Phys. Rev. Lett. 126, 092301 (2021). doi: 10.1103/PhysRevLett.126.092301
Baidu ScholarGoogle Scholar
[20] H. Sorge,

Elliptical flow: A signature for early pressure in ultrarelativistic nucleus-nucleus collisions

. Phys. Rev. Lett. 78, 2309 (1997). doi: 10.1103/PhysRevLett.78.2309
Baidu ScholarGoogle Scholar
[21] J.-Y. Ollitrault,

Anisotropy as a signature of transverse collective flow

. Phys. Rev. D 46, 229 (1992). doi: 10.1103/PhysRevD.46.229
Baidu ScholarGoogle Scholar
[22] A. M. Poskanzer and S. A. Voloshin,

Methods for analyzing anisotropic flow in relativistic nuclear collisions

. Phys. Rev. C 58, 1671 (1998). doi: 10.1103/PhysRevC.58.1671
Baidu ScholarGoogle Scholar
[23] M. Abdallah et al. (STAR Collaboration),

Disappearance of partonic collectivity in sNN = 3 GeV Au+Au collisions at RHIC

. arXiv:2108.00908 [nucl-ex].
Baidu ScholarGoogle Scholar
[24] S. Lan, (for the STAR Collaboration),

Anisotropic Flow Measurements of Identified Particles in the STAR Experiment. CPOD 2021

, arXiv:2109.10983 [nucl-ex].
Baidu ScholarGoogle Scholar
[25] J. Cleymans, H. Oeschler, K. Redlich et al.,

Comparison of chemical freeze-out criteria in heavy-ion collisions

. Phys. Rev. C 73, 034905 (2006). doi: 10.1103/PhysRevC.73.034905
Baidu ScholarGoogle Scholar
[26]

STAR Note 0598: BES-II whitepaper: Studying the phase diagram of QCD matter at RHIC

. http://drupal.star.bnl.gov/STAR/starnotes/public/sn0598.
Baidu ScholarGoogle Scholar
[27] T. Ablyazimov, A. Abuhoza, R.P. Adak et al. (CBM Collaboration),

Challenges in QCD matter physics –The scientific programme of the Compressed Baryonic Matter experiment at FAIR

. Eur. Phys. J. A 53, 60 (2017). doi: 10.1140/epja/i2017-12248-y
Baidu ScholarGoogle Scholar
[28] V. Kekelidze, A. Kovalenko, R. Lednicky et al.,

Prospects for the dense baryonic matter research at NICA

. Nucl. Phys. A 956, 846-849 (2016). doi: 10.1016/j.nuclphysa.2016.03.019
Baidu ScholarGoogle Scholar
[29] J.C. Yang, J.W. Xia, G.Q. Xiao et al.,

High intensity heavy ion accelerator facility (HIAF) in China

. Nucl. Instrum. Meth. B 317, 263-265 (2013). doi: 10.1016/j.nimb.2013.08.046
Baidu ScholarGoogle Scholar
[30] L. Lyu, H. Yi, L.M. Duan et al.,

Simulation and prototype testing of multi-wire drift chamber arrays for the CEE

. Nucl. Sci. Tech. 31, 11 (2020). doi: 10.1007/s41365-019-0716-x
Baidu ScholarGoogle Scholar
[31] S. A. Bass, M. Belkacem, M. Brandstetter et al.,

Microscopic models for ultrarelativistic heavy ion collisions

. Prog. Part. Nucl. Phys. 41, 255 (1998). doi: 10.1016/S0146-6410(98)00058-1
Baidu ScholarGoogle Scholar
[32] M. Bleicher, E. Zabrodin, C. Spieles et al.,

Relativistic hadron-hadron collisions in the ultra-relativistic quantum molecular dynamics model

. J. Phys. G 25, 1859 (1999). doi: 10.1088/0954-3899/25/9/308
Baidu ScholarGoogle Scholar
[33] Y. Gao, F. Liu, A.H. Tang,

Directed flow of transported and nontransported protons in Au + Au collisions from an ultrarelativistic quantum molecular dynamics model

. Phys. Rev. C 86, 044901 (2012). doi: 10.1103/PhysRevC.86.044901
Baidu ScholarGoogle Scholar
[34] E.L. Bratkovskaya, M. Bleicher, M. Reiter et al.,

Strangeness dynamics and transverse pressure in relativistic nucleus-nucleus collisions

. Phys. Rev. C 69, 054907 (2004). doi: 10.1103/PhysRevC.69.054907
Baidu ScholarGoogle Scholar
[35] H. Kruse, B.V. Jacak, H. Stoecker,

Microscopic theory of pion production and sidewards flow in heavy-ion collisions

. Phys. Rev. Lett. 54, 289 (1985). doi: 10.1103/PhysRevLett.54.289
Baidu ScholarGoogle Scholar
[36] J. J. Molitoris, H. Stöcker,

Further evidence for a stiff nuclear equation of state from a transverse-momentum analysis of Ar(1800 MeV/nucleon) + KCl

. Phys. Rev. C 32, 346 (1985). doi: 10.1103/PhysRevC.32.346
Baidu ScholarGoogle Scholar
[37] A.B. Larionov, W. Cassing, C. Greiner et al.,

Squeeze-out of nuclear matter in peripheral heavy-ion collisions and momentum-dependent effective interactions

. Phys. Rev. C 62, 064611 (2000). doi: 10.1103/PhysRevC.62.064611
Baidu ScholarGoogle Scholar
[38] P. Hillmann, J. Steinheimer, M. Bleicher,

Directed, elliptic and triangular flow of protons in Au+Au reactions at 1.23 A GeV: a theoretical analysis of the recent HADES data

. J. Phys. G 45, 085101 (2018). doi: 10.1088/1361-6471/aac96f
Baidu ScholarGoogle Scholar
[39] Y.J. Wang, C.C. Guo, Q.F. Li et al.

Determination of the nuclear incompressibility from the rapidity-dependent elliptic flow in heavy-ion collisions at beam energies 0.4A–1.0A GeV

. Phys. Lett. B 778, 207-212 (2018). doi: 10.1016/j.physletb.2018.01.035
Baidu ScholarGoogle Scholar
[40] P. Danielewicz, R. Lacey and W.G. Lynch.

Determination of the equation of state of dense matter

. Science 298 1592-1596 (2002). doi: 10.1126/science.1078070
Baidu ScholarGoogle Scholar
[41] C. Sturm, I. Böttcher, M. Dębowski et al.,

Evidence for a soft nuclear equation-of-state from kaon production in heavy-ion collisions

. Phys. Rev. Lett. 86, 39 (2001). doi: 10.1103/PhysRevLett.86.39
Baidu ScholarGoogle Scholar
[42] Ch. Hartnack, H. Oeschler and J. Aichelin.

Hadronic matter is soft

. Phys. Rev. Lett. 96, 012302 (2006). doi: 10.1103/PhysRevLett.96.012302
Baidu ScholarGoogle Scholar
[43] Z. Feng.

Constraining the high-density behavior of nuclear equation of state from strangeness production in heavy-ion collisions

. Phys. Rev. C 83, 067604 (2011). doi: 10.1103/PhysRevC.83.067604
Baidu ScholarGoogle Scholar
[44] J. Adamczewski-Musch, O. Arnold, C. Behnke et al. (HADES Collaboration),

Directed, elliptic, and higher order flow harmonics of protons, deuterons, and tritons in Au + Au collisions at sNN = 2.4 GeV

. Phys. Rev. Lett. 125, 262301 (2020). doi: 10.1103/PhysRevLett.125.262301
Baidu ScholarGoogle Scholar
[45] L. Adamczyk, O. Arnold, C. Behnke et al. (STAR Collaboration),

Elliptic flow of identified hadrons in Au+Au collisions at sNN = 7.7-62.4 GeV

. Phys. Rev. C 88, 014902 (2013). doi: 10.1103/PhysRevC.88.014902
Baidu ScholarGoogle Scholar
[46] M.L. Miller, K. Reygers, S.J. Sanders et al.,

Glauber modeling in high-energy nuclear collisions

. Ann. Rev. Nucl. Part. Sci. 57, 205 (2007). doi: 10.1146/annurev.nucl.57.090506.123020
Baidu ScholarGoogle Scholar
[47] L. Adamczyk, J.R. Adams, J.K. Adkins et al. (STAR Collaboration),

Beam-energy dependence of directed flow of Λ,Λ¯,K±,KS0 and ϕ in Au + Au collisions

. Phys. Rev. Lett. 120, 062301 (2018). doi: 10.1103/PhysRevLett.120.062301
Baidu ScholarGoogle Scholar
[48] H. Liu, N.N. Ajitanand, J. Alexander et al. (E895 Collaboration),

Sideward flow in Au + Au collisions between 2A and 8A GeV

. Phys. Rev. Lett. 84, 5488 (2000). doi: 10.1103/PhysRevLett.84.5488
Baidu ScholarGoogle Scholar
[49] C. Pinkenburg, N.N. Ajitanand, J.M. Alexander et al. (E895 Collaboration),

Elliptic Flow: Transition from out-of-plane to in-plane emission in Au + Au collisions

. Phys. Rev. Lett. 83, 1295 (1999). doi: 10.1103/PhysRevLett.83.1295
Baidu ScholarGoogle Scholar
[50] M.S. Abdallah, J. Adam, L. Adamczyk et al. (STAR Collaboration),

Flow and interferometry results from Au + Au Collisions at sNN = 4.5 GeV

. Phys. Rev. C 103, 034908 (2021). doi: 10.1103/PhysRevC.103.034908
Baidu ScholarGoogle Scholar
[51] M. Abdallah et al. (STAR Collaboration),

Probing Strangeness Canonical Ensemble with K-, ϕ(1020) and Ξ− Production in Au+Au Collisions at sNN = 3 GeV

. arXiv:2108.00924 [nucl-ex].
Baidu ScholarGoogle Scholar
[52] M. Abdallah et al. (STAR Collaboration),

Measurements of Proton High Order Cumulants in SNN = 3 GeV Au+Au Collisions and Implications for the QCD Critical Point

. arXiv:2112.00240 [nucl-ex].
Baidu ScholarGoogle Scholar