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A possible probe to neutron-skin thickness by fragment parallel momentum distribution in projectile fragmentation reactions

NUCLEAR PHYSICS AND INTERDISCIPLINARY RESEARCH

A possible probe to neutron-skin thickness by fragment parallel momentum distribution in projectile fragmentation reactions

Chun-Wang Ma
Yi-Jie Duan
Ya-Fei Guo
Chun-Yuan Qiao
Yu-Ting Wang
Jie Pu
Kai-Xuan Cheng
Hui-Ling Wei
Nuclear Science and TechniquesVol.35, No.6Article number 99Published in print Jun 2024Available online 18 Jun 2024
78701

Neutron-skin thickness is a key parameter for a neutron-rich nucleus; however, it is difficult to determine. In the framework of the Lanzhou Quantum Molecular Dynamics (LQMD) model, a possible probe for the neutron-skin thickness (δnp) of neutron-rich 48Ca was studied in the 140A MeV 48Ca + 9Be projectile fragmentation reaction based on the parallel momentum distribution (p) of the residual fragments. A Fermi-type density distribution was employed to initiate the neutron density distributions in the LQMD simulations. A combined Gaussian function with different width parameters for the left side (ΓL) and the right side (ΓR) in the distribution was used to describe the p of the residual fragments. Taking neutron-rich sulfur isotopes as examples, ΓL shows a sensitive correlation with δnp of 48Ca, and is proposed as a probe for determining the neutron skin thickness of the projectile nucleus.

Neutron-skin thicknessProjectile fragmentationParallel momentum distributionNeutron-rich nucleusQuantum molecular dynamics model
1

INTRODUCTION

The neutron skin thickness, defined as the difference between the root mean square of the neutron and proton density distributions of a nucleus δnprn21/2rp21/2, is an important parameter for neutron-rich nuclei. With the advanced ability of new rare isotope facilities to produce nuclei near proton and neutron drip lines, a new era has commenced for nuclei with exotic structures, particularly for neutron-rich isotopes at extremes [1, 2]. The exact value of δnp is important in research on symmetry energy [3] and neutron stars [4]. It is more important to study δnp of extreme nuclei because they may have a much lower density distribution in the surface region than stable nuclei. Along the history of studying δnp of neutron-rich nuclei, many probes have been proposed based on different theoretical frameworks and via different types of experiments. Projectile fragmentation reactions induced by neutron-proton asymmetric nuclei, as one type of heavy-ion reactions, are typical experimental tools to investigate properties of neutron-rich nuclei, in which the light particle emissions [5, 6], fragment production ratios [7, 8], fragment mass or charge distributions through information entropy analysis [9, 10], etc, are proposed as probes to study the neutron-skin of projectile nuclei to varying degrees of accuracy. Due to the difficulties in measuring neutron density distributions, the neutron-skin thickness of asymmetric nuclei are usually determined in experiments through indirect probes, for example, the giant dipole resonance [11, 12], spin dipole resonance [13], neutron-removal cross section [14], and parity violating electron scattering (for 208Pb [15, 16] and for 48Ca [17]), etc. The momentum distribution of nucleons is widely used to study the structure and properties of atomic nuclei [18-21]. The short-range correlation between nucleons can be experimentally studied by detecting the high-momentum tail of the nucleon momentum distribution using bremsstrahlung γ rays in heavy-ion nuclear reactions [22-24]. The parallel momentum distribution (p) of fragments in breakup or few-body reactions is usually the first evidence of halo or skin nuclei, as in 11Li [18], 29P [25], 23Al [26], 31Ne [27]. Thus, rp2 of the residual fragments can also be employed to determine δnp within the framework of optical models [28-30]. Experimentally, the p of fragments is usually used to determine their yields or cross-sections after integration [31], which directly connects the yields of fragments and the nuclear density (and neutron skin thickness) of the projectile nucleus. This makes the p of fragment in potential be a probe for δnp of projectile nucleus. In this study, p of the residual fragments in projectile fragmentation reactions was investigated using the Lanzhou quantum molecular dynamics (LQMD) model [32, 33]. It is suggested that the width of p of the fragment produced in the peripheral collisions is sensitive and could serve as a probe for δnp of the projectile nucleus.

2

Model Description

2.1
The LQMD model

The LQMD model is an isospin- and momentum-dependent transport model that includes all possible elastic and inelastic collision reaction channels during charge exchange. The temporal evolution of nucleons, hyperons, and mesons in a reaction system under a self-consistently generated mean field is governed by Hamilton’s equations of motion [32-35]. Based on the Skyrme interactions, isospin-, density-, and momentum-dependent Hamiltonians were constructed [34]. The Hamiltonian of baryons consists of the relativistic energy, effective interaction potential, and momentum-related components. HB=ipi2+mi2+Uint+Umom, (1) where pi and mi denote the momentum and mass of the baryons, respectively. Uint comprises the Coulomb interaction and the local interaction potential. The local interaction potential is expressed as follows: Uloc=Vloc[ρ(r)]dr, (2) derived from the Skyrme energy density functional. Vloc(ρ) can be written as: Vloc(ρ)=α2ρ2ρ0+β1+γρ1+γρ0γ+Esymloc(ρ)ρδ2+gsur2ρ0(ρ)2+gsuriso2ρ0[(ρnρp)]2, (3) where ρn, ρp and ρ=ρn+ρp are the neutron, proton, and total densities, respectively, and δ=(ρnρp)/(ρn+ρp) is isospin asymmetry. The coefficients α, β, γ, gsur, gsuriso, and ρ0 were set to -215.7 MeV, 142.4 MeV, 1.322 23 MeV fm2, -2.7 MeV fm2, and 0.16 fm-3, respectively. Esymloc(ρ) is the local part of the symmetry energy, which can be adjusted to mimic the predictions of the symmetry energy calculated using microscopic or phenomenological many-body theories. Esymloc(ρ)=12Csym(ρ/ρ0)γs. (4) The values of Csym and γs are 52.5 MeV and 2.0, respectively, which correspond to hard-symmetry energy with a baryon density [34].

Umom takes the form Umom=12ρ0i,j,jiτ,τCτ,τδτ,τiδτ,τjdpdp'dr×fi(r,p,t)ln[ϵ(pp')2+1]2fi(r,p',t), (5) where Cτ,τ=Cmom(1+x), Cτ,τ=Cmom(1x)(ττ) and the isospin symbols τ(τ) represent protons and neutrons, respectively. The parameters Cmom and ϵ were determined by fitting the real part of the optical potential as a function of the incident energy from the proton-nucleus elastic scattering data, and the obtained values of Cmom and ϵ were 1.76 MeV and 500c2/GeV2, respectively. Thus, the effective mass of the nuclear medium at saturation density is m*/m=0.75. The parameter x is the strength of the isospin splitting, for which a value of -0.65 is adopted in this study, and the mass splitting is mn*>mp* in the nuclear medium [36].

During the initialization of the projectile nucleus in LQMD, the initial coordinates of the nucleons are obtained by random sampling according to the two-parameter Fermi-type density distribution [38]: ρi(r)=ρi01+exp(rCifiti/4.4),i=n,p, (6) where ρi0 is a normalization constant that ensures that the integrated density distribution is equal to the number of protons or neutrons, fi is a parameter for adjusting the diffuseness parameter [39, 7], ti is the diffuseness parameter, Ci is the half-density radius. Nuclei with reliable stability and an expected neutron skin thickness were selected as candidates for collisions, and the values of δnp were 0.111, 0.120, 0.136, 0.168, and 0.186 fm for the corresponding initial 48Ca nuclei after LQMD initialization (see Fig. 1). The fragments were analyzed in phase space at t= 300 fm/c in the LQMD simulation, and nucleons with a relative distance smaller than 3.0 fm and a relative momentum smaller than 200 MeV/c were considered in the coalescence model [33].

Fig. 1
(Color online) The proton and neutron physical density distributions in the initialization of 48Ca in the LQMD simulation with different δnp. In panels (a), (b), (c), and (d), δnp are 0.111, 0.120, 0.137, and 0.186 fm, respectively
pic
2.2
Parallel momentum distribution

The p of the fragments produced in projectile fragmentation reactions exhibits a nonsymmetric distribution in experiments, which can be fitted by a combined Gaussian function [31], dΓdp={S×exp((pp0)22ΓL2),if pp0,S×exp((pp0)22ΓR2),if p>p0. (7) In the combined Gaussian function, the left and right halves have the same peak position, but different widths. S is the normalization factor, p0 is the peak position of the distribution, ΓL and ΓR denote the widths of the left and right sides of the combined Gaussian distribution, respectively.

3

Results and discussion

p of a fragment is generally influenced by the incident energy of the reaction, nuclear density of the reaction system, impact parameter, and the fragment itself (such as isospin). The experimental δnp determined from the proton elastic scattering for 40Ca was 0.0100.024+0.022 fm [37], and for 48Ca, it was 0.121±0.026(exp)±0.024(model) fm from the parity-violating method [17]. To compare the sensitivity of p to the projectile nuclear density distribution, the 33P produced in the 140A MeV 40Ca + 9Be (δnp=- 0.030 fm of 40Ca) and 48Ca + 9Be (δnp= 0.168 fm of 48Ca) reactions are simulated and fitted by Eq. (7), as shown in Fig. 2. p for 33P in the symmetric 40 Ca-induced reaction is also symmetric in ΓL and ΓR, whereas ΓL is larger than ΓR for 33P in the asymmetric 48 Ca-induced reaction, indicating a neutron-skin effect for the neutron-rich projectile.

Fig. 2
(Color online) The p of 33P fragments produced in the LQMD model simulated 140A MeV 40,48Ca + 9Be reactions within b= [1–8] fm. The circles and triangles denote results for the 33P fragments in the 48Ca (δnp= 0.168 fm) and 40Ca (δnp=- 0.030 fm) induced reactions, respectively. The lines with different types denote the fitting results by a function according to Eq. (7)
pic

With the varying impact parameters in projectile fragmentation reactions, the p of a specific fragment is also influenced by the significant change in nuclear density from central to peripheral collisions [23], and the p of a fragment thus carries significant information on reactions, such as nuclear density distribution and nucleon-nucleon cross section [1]. The p values of the neutron-proton symmetric fragment 24Mg produced in the 140A MeV 48Ca + 9Be reaction within b= [0-2], [2-4], [4-6], and [6-8] fm are plotted in Fig. 3. From the central to the peripheral collisions, p for 24Mg shifts from the low-momentum side to the high-momentum side as b increases. Both ΓL and ΓR depend on impact parameters. For different p, the value of ΓL tends to decrease with an increase in b. ΓL > ΓR (Fig. 3), with the uncertainty of the ΓR larger than that of ΓL, (particularly for the central collisions). ΓR remains constant when b<6 fm whereas ΓL decreases with increasing b. The reason for ΓL > ΓR may be the difference in the centrality in the reaction; that is, the larger the centrality, the deeper the collision with the target, and the significant p lost, as well as the wider width of ΓL.

Fig. 3
(Color online) The p for 24Mg produced in the 140A MeV 48Ca + 9Be (δnp= 0.111 fm of 48Ca) projectile fragmentation reactions at different ranges of impact parameter from central collisions to peripheral collisions. The ranges of b are within [0-2], [2-4], [4-6], and [6-8] fm, respectively. The lines of different types denote the fitting results by a function according to Eq. (7). The inserted figure are for ΓL and ΓR for the p
pic

Finally, the p values for the isotopic fragments with different isospins were studied to determine whether they are sensitive to the neutron skin thickness of the projectile. The neutron skin of the asymmetric nucleus mainly influences the products of peripheral collisions. The p of the fragments was simulated for peripheral collisions of 140A MeV 48Ca + 9Be within b= [6–8] fm. To compare p values for isotopic fragments with different mass numbers, p per nucleon (p/A) was chosen. Based on the different values of δnp for 48Ca, as shown in Fig. 1, the p/A distributions for neutron-rich sulfur isotopes (from 33S to 36S) are plotted in Fig. 3 together with the fitting results by Eq. (7). The values of ΓL for p were obtained and the ΓL correlations for the sulfur isotopes with δnp of 48Ca are plotted in Fig. 4, in which the correlations are fitted using the decaying exponential function. A strong exponential dependence of ΓL for neutron-rich sulfur isotopes on δnp of the projectile nucleus 48Ca is shown, which indicates that ΓL can be an effective probe for the neutron skin thickness of the projectile nucleus in the projectile fragmentation reaction. Further simulations of the fragment de-excitation were performed using the GEMINI code [40]. Compared with the obvious correlation between ΓL and δnp in the LQMD simulations, ΓL becomes constant as δnp varies in the LQMD + GEMINI simulations, indicating that the GEMINI de-excitation erases the correlation between ΓL and δnp. It is also noted that the correlation between ΓL and δnp is an indirect probe for the neutron-skin thickness of the projectile nucleus because fragments are obtained after the compression-expansion process of the colliding system. Further investigations are also needed to study the ΓLδnp correlation, including the de-excitation effects, since they may modify the intermediate mass fragments in projectile fragmentation reactions, as has been found in Refs. [7, 8].

Fig. 4
(Color online) The LQMD simulated p/A in peripheral collisions (within b= [6–8] fm) for the 140A MeV 48Ca + 9Be reaction. The values of δnp for 48Ca are 0.111, 0.120, 0.136, 0.168, and 0.186 fm, respectively. Panel (a) is for 33S, (b) for 34S, (c) for 35S, and (d) for 36S. The lines denote the fitting results by Eq. (7)
pic

Based on the eikonal distorted-wave impulse approximation (DWIA) explanation by Ogata et al. [30], the high-momentum side reflects the phase-volume effect owing to energy and momentum conservation, whereas the low-momentum side reflects the momentum shift caused by the attractive potential of the residual nucleus when the incident energy is not very high (below 200A MeV). Because the impact parameters are restricted to b= [6–8] fm, the width of ΓL reflects the Heisenberg uncertainty principle in quantum mechanism; that is, from ΔxΔph4π, Δx is inversely correlated to Δ p [21]. Thus, it can be considered that the larger the ΓL, the closer the nucleons contained in the fragment are to the center of the nucleus. In contrast, the smaller the ΓL, the closer the nucleons in the fragment to the edge of the nucleus. With an increased neutron-skin thickness, the valence neutrons are further pushed away from the center of the nucleus, resulting in a narrower ΓL as observed in Fig. 5 for the neutron-rich sulfur fragments.

Fig. 5
(Color online) The correlation between ΓL of p for neutron-rich sulfur fragments in Fig. 4 and δnp of 48Ca in the LQMD simulated peripheral collisions for 140A MeV 48Ca + 9Be reactions within b= [6–8] fm. The lines of different types denote the exponential fits to the correlations for 33-36S
pic
4

Summary

In summary, a possible probe for the neutron skin thickness of a neutron-rich projectile nucleus was studied by simulating the 140A MeV 48Ca + 9Be reaction in the framework of the LQMD model. The neutron skin thickness of 48Ca was adjusted by varying the diffuseness of the neutron density distributions. A combined Gaussian function with different widths of the left (ΓL) and right (ΓR) halves was employed to fit p of the fragments. The p values of the fragments are influenced by the projectile nucleus, impact parameters, and the isospin of isotope. It was found that ΓL of the p of the projectile-like fragments produced in peripheral collisions was sensitive to δnp of the projectile nucleus. Considering that p of fragments is easy to measure in experiments, the correlation between ΓL of the projectile-like fragments and δnp of the projectile nucleus potentially provides a new probe for the neutron skin thickness of neutron-rich projectile nuclei.

References
1. C.W. Ma, H.L. Wei, X.Q. Liuet al.,

Nuclear fragments in projectile fragmentation reactions

. Prog. Part. Nucl. Phys. 121, 103911 (2021). https://doi.org/10.1016/j.ppnp.2021.103911
Baidu ScholarGoogle Scholar
2. X.B. Wei, H.L. Wei, Y.T. Wanget al.,

Multiple-models predictions for drip line nuclides in projectile fragmentation of 40, 48Ca, 58, 64Ni, and 78,86Kr at 140 MeV/u

. Nucl. Sci. Tech. 33, 155 (2022). https://doi.org/10.1007/s41365-022-01137-4
Baidu ScholarGoogle Scholar
3. L. Li, F.Y. Wang, Y.X. Zhang,

Isospin effects on intermediate mass fragments at intermediate energy-heavy ion collisions

. Nucl. Sci. Tech. 33, 58 (2022). https://doi.org/10.1007/s41365-022-01050-w
Baidu ScholarGoogle Scholar
4. W.J. Xie, Z.W. Ma, J.H. Guo,

Bayesian inference of the crust-core transition density via the neutron-star radius and neutron-skin thickness data

. Nucl. Sci. Tech. 34, 91 (2023). https://doi.org/10.1007/s41365-023-01239-7
Baidu ScholarGoogle Scholar
5. X.Y. Sun, D.Q. Fang, Y.G. Maet al.,

Neutron/proton ratio of nucleon emissions as a probe of neutron skin

. Phys. Lett. B 682, 396 (2010). https://doi.org/10.1016/j.physletb.2009.11.031
Baidu ScholarGoogle Scholar
6. D.Q. Fang,

Neutron skin thickness and its effects in nuclear reactions

. Nucl. Tech. 46, 155 (2023). (in Chinese) https://doi.org/10.11889/j.0253-3219.2023.hjs.46.080016
Baidu ScholarGoogle Scholar
7. Z.T. Dai, D.G. Fang, Y.G. Maet al.,

Triton/3He ratio as an observable for neutron-skin thickness

. Phys. Rev. C 89, 014613 (2014). https://doi.org/10.1103/PhysRevC.89.014613
Baidu ScholarGoogle Scholar
8. Z.T. Dai, D.Q. Fang, Y.G. Maet al.,

Effect of neutron skin thickness on projectile fragmentation

. Phys. Rev. C 91, 034618 (2015). https://doi.org/10.1103/PhysRevC.91.034618
Baidu ScholarGoogle Scholar
9. C.W. Ma, Y.P. Liu, H.L. Weiet al.,

Determination of neutron-skin thickness using configurational information entropy

. Nucl. Sci. Tech. 33, 6 (2022). https://doi.org/10.1007/s41365-022-00997-0
Baidu ScholarGoogle Scholar
10. H.L. Wei, X. Zhu, C. Yuan,

Configurational information entropy analysis of fragment mass cross distributions to determine the neutron skin thickness of projectile nuclei

. Nucl. Sci. Tech. 33, 111 (2022). https://doi.org/10.1007/s41365-022-01096-w
Baidu ScholarGoogle Scholar
11. A. Krasznahorkay, J. Bacelar, J.A. Bordewijket al.,

Excitation of the isovector giant dipole resonance by inelastic α scattering and the neutron skin of nuclei

. Phys. Rev. Lett. 66, 1287 (1991). https://doi.org/10.1103/PhysRevLett.66.1287
Baidu ScholarGoogle Scholar
12. M. Csatlós, A. Krasznahorkay, D. Sohleret al.,

Measurement of neutron-skin thickness in 208Pb by excitation of the GDR via inelastic α-scattering

. Nucl. Phys. A 719, 304c (2003). https://doi.org/10.1016/S0375-9474(03)00937-0
Baidu ScholarGoogle Scholar
13. C. Gaarde, J. Rapaport, T.N. Taddeucciet al.,

Excitation of giant spin-isospin multipole vibrations

. Nucl. Phys. A 369, 258 (1981). https://doi.org/10.1016/0375-9474(81)90019-1
Baidu ScholarGoogle Scholar
14. D.Q. Fang, Y.G. Ma, X.Z. Caiet al.,

Effects of neutron skin thickness in peripheral nuclear reactions

. Chin. Phys. Lett. 28, 102102 (2011). https://doi.org/10.1088/0256-307X/28/10/102102
Baidu ScholarGoogle Scholar
15. S. Abrahamyan, Z. Ahmed, H. Albatainehet al.,

Measurement of the neutron radius of 208Pb through parity violation in electron scattering

. Phys. Rev. Lett. 108, 112502 (2012). https://doi.org/10.1103/PhysRevLett.108.112502
Baidu ScholarGoogle Scholar
16. D. Adhikari, H. Albataineh, D. Androicet al.

(PREX Collaboration), Accurate determination of the neutron skin thickness of 208Pb through parity-violation in electron scattering

. Phys. Rev. Lett. 126, 172502 (2021). https://doi.org/10.1103/PhysRevLett.126.172502
Baidu ScholarGoogle Scholar
17. D. Adhikari, H. Albataineh, D. Androicet al.

(CREX Collaboration), Precision Determination of the Neutral Weak Form Factor of 48Ca

. Phys. Rev. Lett. 129, 042501 (2022). https://doi.org/10.1103/PhysRevLett.129.042501
Baidu ScholarGoogle Scholar
18. I. Tanihate, H. Hamagaki, O. Hashimotoet al.,

Measurements of interaction cross sections and nuclear radii in the light p-shell region

. Phys. Rev. Lett. 55, 2676 (1985). https://doi.org/10.1103/PhysRevLett.55.2676
Baidu ScholarGoogle Scholar
19. E. Hanelt, A. Grewe, K. H. Schmidtet al.,

Momentum distributions of projectile fragments produced in the cold and hot fragmentation of relativistic 136Xe and 197Au projectiles

. Z. Phys. A 346, 43 (1993). https://doi.org/10.1007/BF01290780
Baidu ScholarGoogle Scholar
20. Y.G. Ma, R. Wada, K. Hagelet al.,

Sequential decay distortion of Goldhaber model widths for spectator fragments

. Phys. Rev. C 65, 051602 (2002). https://doi.org/10.1103/PhysRevC.65.051602
Baidu ScholarGoogle Scholar
21. M.Q. Ding, D.Q. Fang, Y.G. Ma,

Effects of neutron-skin thickness on light-particle production

. Phys. Rev. C 109, 024616 (2024). https://doi.org/10.1103/PhysRevC.109.024616
Baidu ScholarGoogle Scholar
22. O. Hen, G.A. Miller, E. Piasetzkyet al.,

Nucleon-nucleon correlations, short-lived excitations, and the quarks within

. Rev. Mod. Phys. 89, 045002 (2017). https://doi.org/10.1103/RevModPhys.89.045002
Baidu ScholarGoogle Scholar
23. Y.H. Qin, Q.L. Niu, D. Guoet al.,

Probing high-momentum component in nucleon momentum distribution by neutron-proton bremsstrahlung γ-rays in heavy ion reactions

. Phys. Lett. B 850, 138514 (2024). https://doi.org/10.1016/j.physletb.2024.138514
Baidu ScholarGoogle Scholar
24. D.W. Si, Y. Zhou, S. Xiaoet al.,

Measurement of the high energy γ-rays from heavy ion reactions using Čerenkov detector

. Nucl. Sci. Tech. 35, 24 (2024). https://doi.org/10.1007/s41365-024-01368-7
Baidu ScholarGoogle Scholar
25. Y.B. Wei, Y.G. Ma, X.Z. Cai et al.,

Parallel momentum distribution of 28Si Fragments from 29P

. Chin. Phys. Lett. 22, 61 (2005). http://iopscience.iop.org/0256-307X/22/1/018
Baidu ScholarGoogle Scholar
26. D.Q. Fang, W. Guo, C.W. Ma et al.,

Studies on the exotic structure of 23Al

. Chin. Phys. C 32, 34 (2008). http://csnsdoc.ihep.ac.cn/article/id/68c4071e-1596-4366-8926-9446db4e3d07
Baidu ScholarGoogle Scholar
27. S.Y. Zhang, S.S. Zhang, X.X. Sunet al.,

Study of the deformed halo nucleus 31Ne with Glauber model based on microscopic self-consistent structures

. Sci. China Phys. Mech. Astron. 65, 262011 (2022). https://doi.org/10.1007/s11433-022-1894-6
Baidu ScholarGoogle Scholar
28. B. Abu-Ibrahim, Y. Ogawa, Y. Suzukiet al.,

Cross section calculations in Glauber model: I. Core plus one-nucleon case

. Comp. Phys. Commun. 151, 369 (2003). https://doi.org/10.1016/S0010-4655(02)00734-8
Baidu ScholarGoogle Scholar
29. K. Hencken, G. Bertsch, H. Esbensen,

Breakup reactions of the halo nuclei 11Be and 8B

. Phys. Rev. C 54, 3043 (1996). https://doi.org/10.1103/PhysRevC.54.3043
Baidu ScholarGoogle Scholar
30. K. Ogata, K, Yoshida, K. Minomo,

Asymmetry of the parallel momentum distribution of (p, pN) reaction residues

. Phys. Rev. C 92, 034616 (2015). https://doi.org/10.1103/PhysRevC.92.034616
Baidu ScholarGoogle Scholar
31. M. Mocko, M. Andronenko, F. Delaunayet al.,

Projectile fragmentation of 40Ca, 48Ca, 58Ni, and 64Ni at 140 MeV/nucleon

. Phys. Rev. C 74, 054612 (2006). https://doi.org/10.1103/PhysRevC.74.054612
Baidu ScholarGoogle Scholar
32. Z. Q. Feng,

Momentum dependence of the symmetry potential and its influence on nuclear reactions

. Phys. Rev. C 84, 024610 (2011). https://doi.org/10.1103/PhysRevC.84.024610
Baidu ScholarGoogle Scholar
33. Z. Q. Feng,

Effects of isospin dynamics on neck fragmentation in isotopic nuclear reactions

. Phys. Rev. C 94, 014609 (2016). https://doi.org/10.1103/PhysRevC.94.014609
Baidu ScholarGoogle Scholar
34. Z.Q. Feng,

Nuclear in-medium effects and collective flows in heavy-ion collisions at intermediate energies

. Phys. Rev. C 85, 014604 (2012). https://doi.org/10.1103/PhysRevC.85.014604
Baidu ScholarGoogle Scholar
35. Y.F. Guo, P.H. Chen, F. Niuet al.,

Isospin effect in peripheral heavy-ion collisions at Fermi energies

. Chin. Phys. C 42, 124106 (2018). https://doi.org/10.1088/1674-1137/42/12/124106
Baidu ScholarGoogle Scholar
36. Z.Q. Feng,

Nuclear in-medium and isospin effects on subthreshold kaon production in heavy-ion collisions

. Phys. Rev. C 87, 064605 (2013). https://doi.org/10.1103/PhysRevC.87.064605
Baidu ScholarGoogle Scholar
37. J. Zenihiro, H. Sakaguchi, S. Terashimaet al.,

Direct determination of the neutron skin thicknesses in 40,48Ca from proton elastic scattering at Ep= 295 MeV

. arXiv: 1810.11796 (2018). https://doi.org/10.48550/arXiv.1810.11796
Baidu ScholarGoogle Scholar
38. W.D. Myers, K.H. Schmidt,

An update on droplet-model charge distributions

. Nucl. Phys. A 410, 61 (1983). https://doi.org/10.1016/0375-9474(83)90401-3
Baidu ScholarGoogle Scholar
39. C.W. Ma, Y. Fu, D.Q. Fanget al.,

A possible experimental observable for the determination of neutron skin thickness

. Chin. Phys. B 17, 1216 (2008). https://doi.org/10.1088/1674-1056/17/4/011
Baidu ScholarGoogle Scholar
40. R.J. Charity, M.A. McManhan, G.J. Wozniaket al.,

Systematics of complex fragment emission in niobium-induced reactions

. Nucl. Phys. A 483, 371 (1988). https://doi.org/10.1016/0375-9474(88)90542-8
Baidu ScholarGoogle Scholar
Footnote

Chun-Wang Ma is an editorial board member for Nuclear Science and Techniques and was not involved in the editorial review, or the decision to publish this article. All authors declare that there are no competing interests.