Introduction
Understanding the properties of dense nuclear matter is a main topic of the basic research on heavy-ion collisions (HICs), as it is the only way of creating dense nuclear matter in terrestrial laboratories [1-5]. However, the typical time scale for the appearance of the created dense nuclear matter is extremely short (less than or of the order of a few fm/c) [6]; thus, direct measurement of its properties is currently impossible. Usually, the fundamental properties of dense nuclear matter are inferred by comparing experimental data and transport model simulations [7-11]. As powerful tools for investigating the dynamics of nonequilibrium systems at intermediate energies, two typical transport models, the Boltzmann–Uehling–Uhlenbeck (BUU)-type [1] and quantum molecular dynamics (QMD)-type models [2] and their updated versions, have been extensively used for simulating HICs to extract the structure of the initial nuclei and the properties of the created dense nuclear matter, such as the nuclear equation of state, the nuclear symmetry energy, and the in-medium nucleon-nucleon cross section [12-17].
Both the BUU- and QMD-type models mainly include three components: the initialization of the projectile and target nuclei, mean-field potential for each particle, and two-body scattering (collision term). Different techniques are typically used to treat the three components in different models. To establish a theoretical systematic error that quantifies the model dependence of transport predictions and disentangle the causes of different predictions, the transport model evaluation project (TMEP) has been recently performed [18-22]. After simulating the dynamical process of HICs within the transport models, an afterburner is usually chosen for the formation of fragments, which can then be used to construct observables, and further compared with the corresponding experimental data to extract interesting information regarding the nuclear matter. However, the formed fragments are typically excited and cannot be experimentally detected. In the experiments, the detected particles underwent long-term de-excitation. Hence, greater focus should be placed on the effect of de-excitation in the treatment of afterburners, especially for studying HICs at Fermi energies where the beam energy is comparable to the exciting energy [23-25].
The underestimation of the yield of light fragments (e.g., 3H, 3He, and 4He) in HICs at intermediate energies is a long-standing problem in transport model simulations, and numerous techniques have been developed and adopted to overcome it [26], including the statistical multifragmentation model (SMM) [27, 28], the statistical evaporation model (HIVAP) [29], the statistical model GEMINI [30], and the Simulated Annealing Clusterisation Algorithm (SACA) [31, 32]. From our previous studies [33-35], adopting the conventional phase space coalescence model ‘‘Minimum Spanning Tree” (MST) [36-38] and disregarding the decay of the excited primary fragments from the Ultra-relativistic Quantum Molecular Dynamics (UrQMD) model simulation, the experimental data of the collective flow of protons and deuterons at INDRA and FOPI energies can be reasonably reproduced, whereas those of α particles are different from the experimental data. To improve the corresponding collective flow distribution and explore the influence of sequential decay on the observables in the HICs at intermediate energies, the statistical code GEMINI++ was employed to describe the decay of primary fragments.
In this study, the rapidity distributions and collective flows of free protons and light clusters, as well as the nuclear stopping power, were calculated based on the UrQMD model with and without considering sequential decay. The remainder of this paper is organized as follows. In Sect. 2, the relevant descriptions of the transport model, statistical model, and the observables are provided. The calculation results are presented and discussed in Sect. 3. Finally, a summary and outlook are provided in Sect. 4.
MODEL DESCRIPTION AND OBSERVABLES
Dynamical model: UrQMD
The UrQMD model [39-42] is a typical transport model used for microscopic many-body nonequilibrium dynamics. In this model, each nucleon is represented by a Gaussian wave packet of a certain width L. Empirically, L = 2 fm2 are chosen to simulate Au+Au collisions. The coordinates and momentum of each nucleon are propagated using Hamilton's equations of motion. The total Hamiltonian of the system
In this work, the in-medium nucleon-nucleon (NN) elastic cross-section is considered as a density- and momentum-dependent medium correction factor
In addition, the isospin-dependent minimum spanning tree (iso-MST) algorithm was used to construct the clusters [36-38]. Nucleon pairs with relative distances smaller than R0 and relative momenta smaller than P0 = 0.25 GeV/c are considered to be bound in a fragment. Here,
Statistical model: GEMINI++
The statistical GEMINI++ decay model [30, 53] is a Monte Carlo method used to simulate the decay of excited fragments, which includes light-particle evaporation, symmetric and asymmetric fission, and all possible binary decay modes. It has been widely used to treat the de-excitation of the primary fragments in studies of nuclear reactions at low and intermediate [23, 25, 54-60] and high energies [61-63]. The parameters of the shell-smoothed level density in GEMINI++ were set to their default values, which were k0 = 7.3 MeV and
There are four inputs for the GEMINI++ code (with default parameter settings): the mass number A, charge number Z, excitation energy E*, and angular moment
Observables
In this study, we focus on collective flows and nuclear stopping power, which are commonly used observables, and propose investigating the properties of dense nuclear matter. The directed (v1) and elliptic (v2) flows are defined as [67]
Results and discussions
Rapidity distribution
The rapidity distributions of hydrogen (Z = 1) and helium isotopes (3He and 4He) in 197Au+197Au collisions at Elab = 40 MeV/nucleon and impact parameter b = 5.5–7.5 fm are shown in Fig. 1. The left, middle, and right panels show the calculated results when the switching time of the UrQMD model was set to 200, 250, and 300 fm/c, respectively. When considering the decay of the excited primary fragments, the yields of Z = 1 particles are slightly increased, whereas those of 3He and 4He clusters are clearly increased. The yields of 3He and 4He are approximately 1.5 and 6 times greater than those obtained from the simulations without considering sequential decay. It is known that the yields of light clusters such as 3He and 4He obtained using QMD-type codes are significantly smaller than experimentally measured yields. As discussed in our previous work [44], the yield of 3He calculated using the UrQMD model was approximately three times lower than that of the experimental data. The inclusion of GEMINI++ improved the description of light cluster production to some extent; however, the yields of light clusters were still underestimated. Additionally, the inclusion of GEMINI++ may have led to an overestimation of the yield of free nucleons. To solve these problems further, additional issues should be considered, such as the spin degree of freedom and the dynamical production process [7].
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Collective flows
The collective flows of Z = 1 particles as functions of y0 in 197Au+197Au collisions at Elab = 40 MeV/nucleon are shown in Fig. 2 (directed flow v1 [left panel] and elliptic flow v2 [right panel]). The simulations were terminated at 200 fm/c. Clear differences are observed in the distributions of the collective flows between simulations with and without considering the decay of the primary fragments, especially in the case of elliptic flow v2 from peripheral (b = 5.5–7.5 fm) collisions. From Fig. 1, the difference in the yields of Z = 1 particles between simulations with and without considering sequential decay is due to the particles produced from the decay of excited primary fragments, which have larger mass. These heavier excited primary fragments are usually produced at the target/projectile rapidity; thus, the directed flow at the target/projectile rapidity is significantly affected by sequential decay. Increasing the impact parameter results in more large-mass primary fragments being produced and the effects of sequential decay on the collective flows becoming more evident.
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To quantitatively evaluate the influence of sequential decay on the collective flows, as shown in Fig. 3, the v1 slope (top panels) and v2 (bottom panels) at mid-rapidity for Z = 1 particles (left panels) and free protons (right panels) are calculated at different stopping times and compared with the experimental data. The slope of directed flow v11 and elliptic flow v20 at mid-rapidity are extracted by assuming
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Figure 4 shows the beam energy dependence of v11 (top panel) and v20 (bottom panel) for semi-central 197Au+197Au collisions. The value of v11 from the simulations without considering sequential decay is higher than that of the experimental data at lower energies. When sequential decay is included, v11 is driven down, and v20 is pulled up at low energies, which is consistent with the results shown in Fig. 3. Again, both v11 and v20 are considerably closer to the experimental data for all investigated energies. Moreover, the effects of sequential decay on the collective flows decrease with increasing beam energy. With increasing beam energy, the reaction becomes more violent, and the multiplicities of large-mass primary fragments decrease.
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For a systematic investigation of the effects of sequential decay on the collective flows, the transverse 4-velocities ut0 dependence of the v1 of light charged particles in semi-central 197Au+197Au collisions at Elab = 120, 150, and 250 MeV/nucleon are calculated with and without considering the decay of primary fragments and compared with the experimental data [69], as shown in Fig. 5. The effects of sequential decay on v1 (ut0) of particles with mass number A lt;4 are relatively weak; it only affects v1 at low ut0. By considering the sequential decay effect, v1 of α particles is obviously influenced and can reproduce the experimental data reasonably well at higher ut0. This is because after the decay of excited primary fragments is considered, the multiplicity of α particles is enhanced, as shown in Fig. 1. The α particles produced by the decay of the excited primary fragments have a large flow effect because they inherit the flow information of the excited primary fragments. The remaining discrepancies in ut0-dependent v1 of light clusters may be due to simplifications in the initial wave function of particles (nucleons and possible clusters) and quantum effects in two-body collisions, as well as the lack of a dynamical production process, which requires further study [7].
-202304/1001-8042-34-04-015/alternativeImage/1001-8042-34-04-015-F005.jpg)
Nuclear stopping power
The nuclear stopping power characterizes the transparency of the colliding nuclei and can provide insight into the rate of equilibration of the colliding system. Thus, it is meaningful to explore the effects of sequential decay on the nuclear stopping power. The yield distributions of deuterons and 4He clusters as functions of the reduced longitudinal (
-202304/1001-8042-34-04-015/alternativeImage/1001-8042-34-04-015-F006.jpg)
The nuclear stopping power RE (Elab = 40 MeV/nucleon, left panel) and vartl (Elab = 400 MeV/nucleon, right panel) for free protons from central (b = 0–2 fm) 197Au+197Au collisions calculated at different stopping times are shown in Fig. 7. Similar to the collective flows shown in Fig. 3, the effects of sequential decay on the nuclear stopping power at lower energies are more obvious than those at higher energies. In all cases, the results were saturated and were close to or covered by the experimental data above 200 fm/c.
-202304/1001-8042-34-04-015/alternativeImage/1001-8042-34-04-015-F007.jpg)
Figure 8 shows the degree of nuclear stopping (RE or vartl) in the central 197Au+197Au collisions as a function of the beam energy. It is clear that both RE and vartl decrease and are much closer to the experimental data when the GEMINI++ code is applied, and the difference in the values of the nuclear stopping power gradually disappears with increasing beam energy. With the same impact parameter (centrality), more violent reactions occurred at higher beam energies, and less heavily excited primary fragments were produced. The difference with free protons is that they are produced from the decay of heavy excited primary fragments, which usually have a weak stopping power (smaller values of RE and vartl) [74, 73]. As a result, the nuclear stopping power was slightly reduced by including the GEMINI++ code.
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Summary and outlook
In summary, the effects of the sequential decay of excited primary fragments on the rapidity distribution, collective flows of light nuclei, and nuclear stopping power in Au+Au collisions at intermediate energies were investigated. Primary fragments were produced using the UrQMD model, and sequential decay of the excited primary fragments was performed using the GEMINI++ code. It was observed that the sequential decay of the excited primary fragments have an obvious influence on the rapidity distribution and collective flows but relatively weakly affect the stopping power. This is because of the memory effect; that is, the light particles produced from the sequential decay of the excited primary fragments inherit the collective properties of the excited primary fragments. Furthermore, the sequential decay effects gradually decreased with increasing beam energy because fewer large-mass fragments that can emit light particles were produced at higher beam energies. More importantly, the ability to reproduce the relevant experimental data at the investigated energies was improved to a certain extent by the inclusion of sequential decay effects.
These results are meaningful for extracting the properties of nuclear matter by comparing transport model calculations with experimental data. The effects of secondary sequential decay on the observables, such as the N/Z ratios and elliptic flow ratios of neutrons vs. hydrogen isotopes, will be discussed in future publications.
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