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SPAGINS: Semiempirical Parameterization for fragments in Gamma Induced Nuclear Spallation

NUCLEAR PHYSICS AND INTERDISCIPLINARY RESEARCH

SPAGINS: Semiempirical Parameterization for fragments in Gamma Induced Nuclear Spallation

Hui‑Ling Wei
Meng‑Die Zhou
Pu Jiao
Yu‑Ting Wang
Jie Pu
Kai‑Xuan Cheng
Ya‑Fei Guo
Chun‑Yuan Qiao
Gong‑Tao Fan
Hong‑Wei Wang
Chun‑Wang Ma
Nuclear Science and TechniquesVol.34, No.12Article number 190Published in print Dec 2023Available online 02 Dec 2023
55407

From the empirical phenomena of fragment distributions in nuclear spallation reactions, semiempirical formulas named SPAGINS were constructed to predict fragment crosssections in high-energy γ-induced nuclear spallation reactions (PNSR). In constructing the SPAGINS formulas, theoretical models, including the TALYS toolkit, SPACS, and Rudstam formulas, were employed to study the general phenomenon of fragment distributions in PNSR with incident energies ranging from 100 to 1000 MeV. Considering the primary characteristics of PNSR, the SPAGINS formulas modify the EPAX and SPACS formulas and efficiently reproduce the measured data. The SPAGINS formulas provide a new and effective tool for predicting fragment production in PNSR.

High energy gamma raysSpallation reactionFragment crosssectionEmpirical formulaEPAXSPACSTALYS
1

Introduction

The nuclear spallation reaction is a violent reaction induced by light-charged particles (LCPs), such as p, d, t, 3He, α, and uncharged particles, such as neutrons and high-energy γ. In nuclear spallation reactions, various residual fragments are produced. Fragment production cross sections in spallation reactions are important because they provide considerable information about the evolving reaction system [1-3]. γ-induced nuclear reactions, called PhotoNuclear Reactions (PNRs), have been extensively studied in recent decades [4]. Because only electromagnetic interaction occurs between photons and nuclei [5-7], PNRs provide a unique tool for studying the properties of nuclear forces [8], nuclear structural parameters, nuclear astrophysics, and other fields [9-11]. The past few decades have witnessed a renaissance of experimental PNRs in laboratories, partly because of the emergence of new accelerator-based gamma sources that create quasi-monoenergetic photon spectra with high credibility based on laser Compton backscattering (LCB) [12]. The concept of producing high-energy photons from light photons colliding with extremely relativistic electrons was proposed by Milburn [13] and Arutyunian et al. in 1963 [14]. Bemporad et al. used a ruby laser scattered with 6 GeV electrons to produce 425 MeV γ photons two years later [15]. In 2013, the LEPS-⨿ (the laser electron photon experiment at SPring-8) produced 1.4 to 2.4 or 1.4 to 2.9 GeV γ beamlines. With the development of SLEGS (Shanghai Laser Electron Gamma Source (SLEGS) at the SSRF (Shanghai Synchrotron Radiation Facility (SSRF) [16, 17] and completion of the future SHINE (Shanghai HIgh repetition rate XFEL aNd Extreme light facility) construction[18, 19], the gamma energy of Compton-scattered light sources based on LINAC (LINear ACcelator) accelerators will be on the order of GeV. An area of γ energy larger than 140 MeV is mainly related to the fields of hadron physics, where mesons can be produced [20, 21]. GeV photon beamline can be used to investigate subatomic and nuclear physics.

High-energy γ rays can induce nuclear spallation reactions, which are called PhotoNuclear Spallation reactions (PNSR). In recent years, considerable research has been conducted on the photonuclear spallation of heavy nuclei [22-24]. In 1986, the experimental study of PNSR by Shibata et al. [4] included the measurement of the cross sections of 24 nuclides in the γ + natCu reaction. The γ rays were made from bremsstrahlung with maximum end-point energies from 100 MeV to 1 GeV by counting the irradiated targets, assuming a 1/E dependence of the bremsstrahlung spectrum and giving a crosssection with a unit of mb [milli-barn/equivalent quantum (mb], and the data were used to monitor the flux of bremsstrahlung quanta. The cross sections of the fragments produced in nuclear spallation shared similar characteristics, although they were induced by different incident particles. Jonsson et al. compared the fragment yields in γ and LCPs-induced nuclear spallation reactions, and some photon-induced spallation cross sections in 127I were also estimated. They conducted experiments on γ-induced nuclear reactions above 1 GeV and discussed the principles of high-energy reactions [25-27].

The mechanism of spallation reactions was treated as a two-step cascade–evaporation process according to Serber et al., in which the first step describes the cascade process and the second describes the evaporation process [27-29]. In the cascade process, the incoming projectile initiates a chain cascade by interacting with nucleons inside the target nucleus, where numerous particles are ejected from the nucleus, and residual target nuclei form highly excited hot fragments. Then, in the evaporation stage, hot fragments are deexcited by evaporating nucleons or nuclear clusters to form the final products. However, in the evaporation process, the memory of cascade residual formation is lost, which leads to a very similar deexcitation process between the photon- and proton-induced reactions [30-32].

The main improvement in fragment production in PNRs was the development of the TALYS toolkit [33]. The TALYS toolkit provides a complete and accurate simulation of the nuclear reactions of light-incident particles with energies up to 200 MeV using an optical reaction model. However, a notable difference was found between the experimental and TALYS predicted fragment cross sections [34]. The cascade evaporation model shows that the fragment cross sections in PNSR and proton-induced spallation reactions share similarities [29, 35, 36], which motivated us to compare their fragment distributions. Considering the lack of systematic prediction models for fragment cross sections in PNSR, we propose a semiempirical PArameterization for fragments in gamma-induced nuclear Spallation (SPAGINS) based on available measured data, as well as theoretical guidance from the EPAX, SPACS, and TALYS models.

The remainder of this paper is organized as follows. In Sect. 2, a brief introduction to the SPAGINS formalism is provided. In Sect. 3, the construction process of SPAGINS formulas and predicted results by SPAGINS formalism are compared to Rudstam-fitting data and TALYS predictions, as well as the measured data. A summary of the study is provided in Sect. 4.

2

Methods

2.1
TALYS toolkit

The latest version, TALYS-1.96 [33, 37], was adopted in this study to guide the construction and verification of SPAGINS formulas. The optical reaction model governs the basic concepts in the TALYS toolkit[38]. TALYS toolkit includes nuclear reactions induced by n, p, d, t, 3He, α, γ, and with incident energies ranging from 1 keV to approximately 200 MeV [39]. The valid range of target nuclei was between 12 and 339 (12 < A < 339). In TALYS, the nuclear reaction process is divided into three stages: (1) the independent particle stage, in which the incident particle is partially scattered and partially absorbed, similar to light waves passing through a translucent glass sphere; (2) the compound system stage, which follows the time of the incident particle being absorbed by the target nucleus, energy exchange occurs between them, and a compound system is formed; and (3) the end stage, in which the compound system is decomposed into outgoing particles and residual fragments. The calculation of the cross section of a specific residual fragment is based on the manual of the TALYS toolkit [40]. The default input parameters were adopted in TALYS calculations.

2.2
Emprical EPAX and SPACS formulas

The cross sections of the fragment productions with the mass number A and charge number Z for spallation reactions can be divided into three terms: the total reaction cross section, mass yield distribution, and charge distribution, which were first proposed by Rudstam [42, 41], the five-parameter fitting formula, and the development of empirical EPAX and SPACS formulas. The five parameters in the five-parameter fitting formula (named the Rudstam formula in this article) were obtained by fitting with the nonlinear least-squares method; thus, it cannot be used to predict nuclides.

The main characteristics of fragment production in spallation reactions were included in the EPAX parameterization (a universal empirical parameterization of fragmentation crosssections), which was proposed by Sümmerer et al. in 1990. The EPAX formulas inherit the ideas of Rudstam and Silberberg [43], who aimed to describe the fragmentation of medium-to-heavy mass projectiles. The fragment cross section was independent of the incident energy of the reaction system above 140 MeV/u. The updated versions of EPAX2 and EPAX3 successfully describe the production of fragments in projectile fragmentation reactions above 100 MeV/u [44, 45]. The improved formulas for fragments produced in nuclear spallation reactions based on EPAX have been proposed by Schmitt et al. in 2014, which is named SPACS (a semiempirical parameterization for isotopic spallation cross sections) [46, 47]. In the SPACS formulas, more than 40 parameters were adopted to reestablish the mass yield and explicitly state the dependence of the yields of the residual fragments on the bombardment energy [48]. The charge distribution of the fragments was given by EPAX [44, 45, 49]. The dependence of the fragment cross section on the collision energy, shell structure, and even-odd effect was further considered in the SPACS formulas. The readers can refer to Refs. [44, 45] for detailed descriptions of fragments cross sections in EPAX and to Ref. [47] for SPACS parameterizations. The main formulas in both EPAX and SPACS were adopted to construct the SPAGINS formulas in this study, which are introduced in Sect. 2.3.

2.3
Phenomenological Isotopic Distributions in PNSR

In this subsection, the fragment isotopic cross sectional distributions are compared to determine the basic ideas for developing the SPAGINS formulas. In the first step, we illustrated the similarity in fragment production between γ and proton-induced nuclear spallation reactions. The TALYS-1.96 was adopted to predict the isotopic distributions for the γ + 63Cu and p + 62Ni reactions at 100 and 200 MeV, where the mass and charge numbers of the reaction systems were the same. In Fig. 1(a) and (b), the isotopic cross section distributions in the γ + 63Cu reaction (open symbols) share the same pattern as those in the p + 62Ni reaction except they have smaller magnitudes. The quantity is defined as the ratio of the fragment cross section in proton-induced spallation (σ(f)p) to γ induces spallation (σ(f)γ), Rp/γσ(f)p/σ(f)γ. The Rp/γ values for the isotopic crosssections in p + 62Ni and γ + 63Cu reactions are shown in Fig. 1(a) and (b), respectively. The Rp/γ values for isotopes in the reactions at an incident energy of 100 MeV were approximately 150 and 400 at an incident energy of 200 MeV. This indicates that the formula for fragment cross sections in the proton-induced nuclear spallation reaction can be adopted for γ-induced ones by further considering the incident energy dependence.

Fig. 1
(Color online) The calculated isotopic cross section for fragments by TALYS-1.96 in the γ + 63Cu and p + 62Ni reactions at = 100 MeV [in (a)] and 200 MeV [in (b)], respectively. The ratio of the isotopic cross sections in the p + 62Ni and γ + 63Cu reactions are plotted in the inserted figure.
pic
2.4
Rudstam Formula

The Rudstam formula has two types of distributions for determining the fragment crosssection in PNSR. One uses charge distribution and mass yield distribution (CDMD), and the other uses isotopic distribution and elemental distribution (IDED)[41]. In this study, the CDMD in Refs. [4] is adopted, and the Rudstam formula reads, σ(Z,A)=σ^PW2/31.79(ePAt1)exp(PAW|ZSA+TA2|3/2), (1) where P, W, S, T and σ^ are free parameters. P defines the slope of the mass yield curve, and W defines the charge distribution width. S and T describe the most probable charge and define the peak locations of the charge distribution (or isotopic distribution), respectively. σ^ denotes the total inelastic yield of the reaction. The parameters were determined by performing a nonlinear least-squares fit to the measured fragments in γ+natCu PNSR within the range of from 100 to 1000 MeV [4] and adopted in this study to investigate the incident energy dependence of the fragment cross section (see Sect. 3.1).

In the second step, with the help of the Rudstam formula, the fragment cross sections of chromium isotopes were compared for the γ + 64Cu reaction at incident energies ranging from = 100 to 1000 MeV.

3

SPAGINS formulas

In this section, the procedure for developing the SPAGINS formulas is first described, and then the SPAGINS predictions are verified to fragment the cross sections in PNSR through a comparison with the measured results.

3.1
Developing SPAGINS Formulas

For a residual fragment (Z, A) produced in fragmentation or spallation reactions, the cross section can be described as σ(A,Z)=σRY(A)Y(ZprobZ)|A, (2) where σR is the normalized total reaction cross section [50, 51], and Y(A) is the mass yield. The third term represents the isobaric yield for a given mass A. The construction of SPAGINS formulas started with this formula to describe fragment production. In this study, modifications were made to the mass and charge distribution terms.

The terms that influence σR are the masses of the projectile Aproj and target Atar. The energy-dependent function δE considers the effects of transparency, Pauli blocking, and the Coulomb barrier B. The energy of the collision system is in the center-of-mass framework, and the quantity χm corrects the intensity of the optical model interaction at low energies [46, 47]. Because photonuclear reactions involve only electromagnetic interactions, the Coulomb barrier is zero. The mathematical expressions for these quantities are given in the SPACS formalism [5, 6].

The measured fragment cross sections in the γ +Cu spallation reaction [4] were used as an example to perform the analysis. Natural copper has two stable isotopes: 69.17% 63Cu and 30.83% 65Cu. The findings of this study revealed that the isotopic effects in the fragment cross sections were minimal. Thus, 64Cu was adopted as the spallation target instead of natural copper, which is mainly composed of 63Cu and 65Cu. To maintain the same masses and charge numbers in spallation systems, a proton-induced system of p + 63Ni was selected for comparison.

The calculated fragment cross sections were compared to the measured cross sections according to two main aspects. The first method considers the incident energy dependence of the fragments. With an increase in energy, the cross sections of the residual fragments produced by PNSR increase exponentially. The second factor is the charge number Z. For the generation of different types of residual fragments, the difference between the calculated residual fragment cross section and experimental value constantly changes with the change in charge number. To reduce the difference between the section value calculated using the empirical formula and the experimental value, the corrections for energy and charge are necessary.

Schmitt et al. found that the mass distributions of the spallation and fragmentation reactions cannot be described by the same mathematical expression [46]. Importantly, in spallation reactions, the energy dependence of Y(A) cannot be ignored[44, 45, 48]. Schmitt et al. added an energy dependence related to Y(A) to the SPACS formalism [43, 45, 49]. The energy dependence of Y(A) is discussed in Sect. 3.2.

The third term in Eq. (2), Y(ZprobZ)|A describes the isotopic distribution, which is insensitive to the interaction mechanism but is mainly controlled by the level density. In this study, the application ranges for certain quantities were modified. The magnitude of the brute-force factor was changed, and the charge dependence was modified, as shown in Sect. 3.2.

3.2
Main Formulas in SPAGINS

Mass yield Y(A) in Eq. (2) is divided into two parts considering the fragment contributions of the central collisions Y(A)cent and peripheral collisions Y(A)prph, which are expressed as Y(A)=Y(A)cent+Y(A)prph. (3) Y(A) depends exponentially on the incident energy. Particularly, the production of Cr isotopes was studied to determine their dependence on the incident energy. To observe how the fragment cross section depends on , the Rudstam formula in Eq. (1) with the parameters according to Ref. [4] is adopted to estimate the Cr isotopic productions in γ + 64Cu reactions with from 100 MeV to 1 GeV (see Fig. 2). Within the range of 100 MeV≤Eγ≤500 MeV, the isotopic distribution increases with the incident energy, whereas it becomes very similar when > 500 MeV. Thus, the trend of Y(A) is parameterized as the following equations for different incident energy ranges: Y(A)=GY(A). (4) G depends on the incident energy in the form of G={10(Eγ100)/100,100Eγ<220;10(Eγ220)/300,220Eγ<500;10(Eγ500)/2000,500Eγ1000. (5) is sorted into three different ranges: (1) from 100 to 220 MeV, (2) from 220 to 500 MeV, and (3) from 500 to 1000 MeV, which empirically reflect the energy dependence of the isotopic distributions shown in Fig. 2.

Fig. 2
(Color online) The Rudstam fitting formula according to Eq. (1) for production cross sections of Cr isotopes in γ + 64Cu reactions from 100 to 1000 MeV.
pic

In the EPAX formulas, Zprob describes the deviation of the most probable charge from the position of β-stability valley () by the quantity Δ. For photonuclear spallation reaction, the parameters Δ used in EPAX are as follows: Δ=Δ5A2, (6) Δ=Δ[1+d1(A/Aprojd2)2]. (7) The SPACS formula modifies the parameter R in EPAX, which is also the formula used: R=R0n,pRphyR0n,p=r0exp[r4(ZprojZβp)],Rphy=exp{ln[R1(A/t2)]}. (8) The residual fragments in the spallation reaction can be divided into proton- and neutron-rich fragments, which are parameterized in different forms. The SPACS refined the normalization of the charge-dispersion curve based on EPAX3, and the so-called “brute-force factor” fn (fp) is used to adjust the distribution of neutron-rich (proton-rich) fragments. For (ZβZ)>(ZprojZβp+b2), fn=10[b1|ZprojZβp|(ZβZ+ZprojZβp+b2)3]. (9) Otherwise, fn=1. For Z>Zexp fp=1/[10dF/dZ](ZZexp). (10) When the charge of the residual fragment was less than that of the target nucleus, the SPACS predictions agreed with the measured data, whereas when the charge of the residual fragment was close to that of the target nucleus, the SPACS predictions differed significantly from the measured values. In addition, fn and fp determine the peak position of the Gaussian distribution of the isotopes. The following conditions of “brute force factors” are formulated for those residual fragments on the valley of β stability. When >Z-0.75, fn is used, and fp is used in all other cases. For these reasons, in γ + 64Cu spallation reactions, the residual fragments with charge numbers ranging from 21 to 29 are divided into three groups. The first group consisted of residual fragments with Z< 21, second group consisted of those with 21 <Z < 26, and last group consisted of those with Z> 26. The parameterized brute force factor is described in Sect. 6.

3.3
Validation for SPAGINS formulas

In Fig. 3, the predicted isotopic cross section distributions by the SPAGINS formulas in γ + 64Cu reactions and solid line used to guide the eye is the five-parameter fitting formula from Rudstam. The cross sections for fragments in the corresponding γ + natCu results are plotted for comparison in solid symbols, for which the incident energies range from 100 MeV to 1 GeV at 100, 130, 160, 220, 310, 400, 500, 800, and 1000 MeV. The mass (charge) number of the fragments ranged from 38 (19) to 64 (29). Owing to the similarities in the types of graphs, only values at 100, 130, and 160 are displayed in this study. The SPAGINS formula reproduced the measured data well, except for those near the target isotopes.

Fig. 3
(Color online) The isotopic cross section in the 100 MeV (a), 130 MeV (b), and 160 MeV (c) γ + 64Cu reactions. The SPAGINS predictions are plotted as open symbols, and full lines represent the fitting lines by the Rudstam formula, which are used to guide the eye. The measured fragments in the γ + natCu reactions (taken from Ref. [4]) are plotted in full symbols.
pic

The excitation function of the residual fragment, that is, the dependence of the fragment crosssection on the incident energy of the reaction, reflects how the probability changes with . Figure 4 shows the cross sections of fragments from 42K to 61Cu, which are produced in the γ+64Cu reaction within from 100 MeV to 1 GeV, in which both the SPAGINS predictions and Rudstam fitting data are compared to the measured results of the γ+natCu reaction. Both the SPAGINS and Rudstam formulas can reproduce the experimental excitation functions in γ+natCu reactions, except that the SPARGINS prediction underestimates the measured function for 57Ni. In the SPAGINS formula, Eq. (26) in the APPENDIX, and the brute force factors fn and fp the fitting data of the Rudstam formula are plotted in depend on and influence the fragment cross section [46] when is changed. In the Rudstam formula, all five parameters depend on incident energy [41]. The good agreement between the SPAGINS predictions and measured results for the excitation curves of fragments suggests that the parameterization of the incident energy dependence of fragment crosssections reflects the inner mechanism of fragment production in PNSR. The mean relative errors are shown in Figs. 5. The dashed line indicates that σexp/σcal is equal to 1.

Fig. 4
(Color online) Excitation functions for fragments 42K, 44Sc, 48V, 51Cr, 52Mn, 59Fe, 56Co, 57Ni, and 61Cu produced in reactions of γ + 64Cu with from 100 MeV to 1 GeV. The measured data in γ + natCu reactions (solid circles) are taken from [4]. The predictions by SPAGINS and the fitting data of the Rudstam formula are plotted in open squares and open triangles, respectively.
pic
Fig. 5
(Color online) Mean relative error of 42,43K, 44,46∼48Sc, 48V, 49,51Cr, 52,54,56Mn, 59Fe, 56∼58,60Co, 57Ni, and 60,61,64Cu produced in the reactions of γ + 64Cu for which the incident energies ranged from 100 MeV to 1 GeV. The dashed lines denote σexp/σcal is 1.
pic

To further verify the SPAGINS formulas, the predicted cross sections for fragments using the TALYS toolkit and SPAGINS formulas in the 100 MeV γ +64Cu reaction are compared in Fig. 6. The mean relative error between the predictions of the SPAGINS formula and experimental value in the 200 and 900 MeV γ+59Co reactions [52] is shown in Figure 7. In general, the data predicted by both TALYS and SPAGINS are consistent with the measured data, except for the neutron-rich fragments, in which TALYS predicts relatively lower data. If this phenomenon is valid for neutron-rich fragments, then the SPAGINS predictions agree with the measured data in PSNR. Based on comparisons between the SPAGINS, Rudstam formula, and TALYS toolkits, the SPAGINS formulas provided reasonable predictions for fragments produced in PSNR.

Fig. 6
(Color online) Production cross sections for Cr, Mn, Fe, Co, Ni, and Cu isotopes in the 100 MeV γ + 64Cu reaction. The measured data for γ + natCu reactions (solid circles) are taken from Ref. [4]. The predicted results by the TALYS model and SPAGINS formulas are in open triangles and open squares, respectively.
pic
Fig. 7
(Color online) Mean relative error of 34,38,39Cl, 42,43K, 44,46∼48Sc, 48∼51Cr, 52,54,56Mn and 52,53Fe produced in the 200 MeV and 900 MeV γ+59Co reactions. The measured data are taken from [52]. The dashed line means that σexp/σcal is 1.
pic
4

Summary

Considering the lack of an effective model to predict the fragments produced in PNSR for high-energy γ rays, semiempirical formulas named SPAGINS have been proposed, which are suitable for PNSR within the range of 100 MeV ≤Eγ≤ 1 GeV. The following procedure was followed to construct the SPAGINS formulas: (1) TALYS-1.96 was adopted to find the similarity of fragment production in photon- and proton-induced spallation reactions with the same mass and charge numbers, that is, γ+63Cu and p+62Ni at 100 and 200 MeV. In this step, the isotopic cross sectional distributions of the different elements had similar shapes but different magnitudes. This enabled the borrowing of the main concepts of the models for proton-induced spallation reactions. (2) The isotopic cross sectional distribution of chromium in γ+64Cu at from 100 MeV to 1 GeV fitted from the Rudstam formula was used to parameterize the incident energy dependence of mass yields in PNSR reactions. (3) Based on steps (1) and (2), the SPAGINS formulas were constructed based on the SPACS formulas for light-charged-particle-induced nuclear spallation reactions, as well as EPAX formulas for projectile fragmentation reactions, by implanting proper modifications to describe fragment distributions. The main characteristics of the excitation function of the mass yield were also established in this step. (4) The predictions of isotopic cross sections by SPAGINS formulas were compared to the measured data and Rudstam formula, which were in good agreement. The excitation curves of the fragments also support the conclusion that the SPAGINS formulas can predict the fragment cross section at different values from 100 MeV to 1 GeV.

Compared to the Rudstam formula, the SPAGINS formulas overcome this limitation because the parameters are determined from a series of measured data and restricted to limited reaction systems. Meanwhile, the SPAGINS formulas also expand the applicable range of the incident energy compared with the TALYS model (lower than 200 MeV) to 100-1000 MeV. The success of SPACS and EPAX formulas in describing fragment distributions makes the SPAGINS formulas yield reasonable fragment cross sections, and the fragment excitation curves are suitable for PNSR from from 100 MeV to 1 GeV. Currently, SPAGINS calculations range from Fe to Zn targets, with charge numbers between 26 and 30 and mass numbers between 58 and 68, which cover common metallic materials in nuclear industrial applications. Considering the rapid development of high-energy γ-ray facilities, SPAGINS formulas provide an effective method for estimating fragment production, γ-nuclear activation, and radiation protection.

References
1. C. W. Ma, Y. G. Ma,

Shannon information entropy in heavy-ion collisions

. Prog. Part. Nucl. Phys. 99, 120 (2018). https://doi.org/10.1016/j.ppnp.2018.01.002
Baidu ScholarGoogle Scholar
2. LIU Qize, Ofoq Normahmedov, JING Mingkun, et al.,

Determination of cross-sections of natPb(p,x)207Bi and natPb(p,x)194Hg by GeTHU

. NUCLEAR TECHNIQUES. 46, 090501 (2023). https://doi.org/10.11889/j.0253-3219.2023.hjs.46.090501
Baidu ScholarGoogle Scholar
3. LIU Li, NIU Shengli, ZHU Jinhui, et al.,

Motion characteristics and laws of the debris from a near-space nuclear detonation

. NUCLEAR TECHNIQUES, 45, 100503 (2022). https://doi.org/10.11889/j.0253-3219.2022.hjs.45.100503
Baidu ScholarGoogle Scholar
4. S. Shibata, M. Imamura, T. Miyachi et al.,

Photonuclear spallation reactions in Cu

. Phys. Rev. C 35, 254 (1987). https://doi.org/10.1103/PhysRevC.35.254
Baidu ScholarGoogle Scholar
5. K. Strauch,

Recent Studies of Photonuclear Reactions

. Annu. Rev. Nucl. Sci., 2, 105 (1953). https://doi.org/10.1146/annurev.ns.02.120153.000541
Baidu ScholarGoogle Scholar
6. J. S. Levinger,

Theories of Photonuclear Reactions

. Annu. Rev. Nucl. Sci. 4, 1 (1954). https://doi.org/10.1146/annurev.ns.04.120154.000305
Baidu ScholarGoogle Scholar
7. F. R. Metzger,

Resonance fluorescence in nuclei

. Prog. Nucl. Phys. 7, 53 (1959).
Baidu ScholarGoogle Scholar
8. M. Danos, E. G. Fuller,

Photonuclear Reactions

. Annu. Rev. Nucl. Sci., 15, 29 (1965). https://doi.org/10.1146/annurev.ns.15.120165.000333
Baidu ScholarGoogle Scholar
9. U. E. Berg, U. Kneissl,

Recent Progress on Nuclear Magnetic Dipole Excitations

. Annu. Rev. Nucl. Part. Sci., 37, 33 (1987). https://doi.org/10.1146/annurev.ns.37.120187.000341
Baidu ScholarGoogle Scholar
10. U. Kneissl, H. H. Pitz, A. Zilges,

Investigation of nuclear structure by resonance fluorescence scattering

. Prog. Part. Nucl. Phys., 37, 349 (1996). https://doi.org/10.1016/0146-6410(96)00055-5
Baidu ScholarGoogle Scholar
11. H. R. Weller, M. W. Ahmed, H. Gao et al.

Research opportunities at the upgraded HIGS facility

. Prog. Part. Nucl. Phys., 62, 257 (2009). https://doi.org/10.1016/j.ppnp.2008.07.001
Baidu ScholarGoogle Scholar
12. A. Zilges, D. L. Balabanski, J. Isaak et al.

Photonuclear reactions—From basic research to applications

. Prog. Part. Nucl. Phys. 122, 103903 (2022). https://doi.org/10.1016/j.ppnp.2021.103903
Baidu ScholarGoogle Scholar
13. R. H. Milburn,

Electron Scattering by an Intense Polarized Photon Field

. Phys. Rev. Lett. 10, 75 (1963). https://doi.org/10.1103/PhysRevLett.10.75
Baidu ScholarGoogle Scholar
14. F. R. Arutyunian, V. A. Tumanian,

The Compton Effect on Relativistic Electrons and the Possibility of Obtaining High Energy Beams

. Phys. Lett. 4, 176 (1963).
Baidu ScholarGoogle Scholar
15. C. Bemporad, R. H. Milburn, N. Tanaka et al.,

High-Energy Photons from Compton Scattering of Light on 6.0-GeV Electrons

. Phys. Rev 138, B1546 (1965). https://doi.org/10.1103/PhysRev.138.B1546
Baidu ScholarGoogle Scholar
16. H. W. Wang, G. T. Fan, L. X. Liu et al.

Development and Prospect of Shanghai Laser Compton Scattering Gamma Source

. Nucl. Phys. Rev. 37, 53 (2020). https://doi.org/10.11804/NuclPhysRev.37.2019043
Baidu ScholarGoogle Scholar
17. H. W. Wang, G. T. Fan, L. X. Liu et al.,

Commissioning of laser electron gamma beamline SLEGS at SSRF

. Nucl. Sci. Tech. 33, 87 (2022). https://doi.org/10.1007/s41365-022-01076-0
Baidu ScholarGoogle Scholar
18. Y. W. Gong, M. Zhang, W.J. Fan et al.,

Beam performance of the SHINE dechirper

. Nucl. Sci. Tech. 32, 29 (2021). https://doi.org/10.1007/s41365-021-00860-8
Baidu ScholarGoogle Scholar
19. N. S. Huang, Z. P. Liu, B. J. Deng et al.,

The MING proposal at SHINE: megahertz cavity enhanced X ray generation

. Nucl. Sci. Tech. 34, 6 (2023).
Baidu ScholarGoogle Scholar
20. S. Amano, K. Horikawa, K. Ishihara et al.,

Several-MeV gamma-ray generation at NewSUBARU by laser Compton backscattering

. Nucl. Instrum. Methods Phys. Res., Sect. A 602, 337 (2009). https://doi.org/10.1016/j.nima.2009.01.010
Baidu ScholarGoogle Scholar
21. D. Habs, T. Tajima, V. Zamfir,

Extreme Light Infrastructure–Nuclear Physics (ELI–NP): New Horizons for Photon Physics in Europe

. Nuclear Physics News, 21, 23 (2011). https://doi.org/10.1080/10619127.2010.529741
Baidu ScholarGoogle Scholar
22. Deppman, A. Karapetyan, G. S. et al,

Bremsstrahlung-induced fission and spallation of the pre-actinide nucleus 181Ta

. Phys. Rev. C 91, 024620 (2015). https://doi.org/10.1103/PhysRevC.91.024620
Baidu ScholarGoogle Scholar
23. Mei, B. Balabanski, D. L. et al,

Empirical parametrization for production cross sections of neutron-rich nuclei by photofission of 238U at low energies

. Phys. Rev. C 96, 064610 (2017). https://doi.org/10.1103/PhysRevC.96.064610
Baidu ScholarGoogle Scholar
24. Guan-Lin Wang, Hao-Yang Lan et al,

A general framework for describing photofission observables of actinides at an average excitation energy below 30 MeV

. Chinese Physics C 46, 084102 (2022). https://doi.org/10.1088/1674-1137/ac6abc
Baidu ScholarGoogle Scholar
25. G. Andersson, I. Blomqvist, B. Forkman et al.,

Photon-induced nuclear reactions above 1 GeV: (I). Experimental

. Nucl. Phys. A 197, 44 (1972). https://doi.org/10.1016/0375-9474(72)90744-0
Baidu ScholarGoogle Scholar
26. G. G. Jonsson, K. Lindgren,

Photon-induced nuclear reactions above 1 GeV: (I). Experimental

. Phys. Scr. 7, 49 (1973). https://doi.org/10.1088/0031-8949/7/1-2/004
Baidu ScholarGoogle Scholar
27. K. Lindgren, G. G. Jonsson,

Photon-induced nuclear reactions above 1 GeV: (II)

. Spallation reactions. Nucl. Phys. A 197, 71 (1972). https://doi.org/10.1016/0375-9474(72)90745-2
Baidu ScholarGoogle Scholar
28. G. G. Jonsson, B. Persson,

High-energy photon induced spallation reactions in 127I

. Nucl. Phys. A 153, 32 (1970). https://doi.org/10.1016/0375-9474(70)90755-4
Baidu ScholarGoogle Scholar
29. R. Serber,

Nuclear Reactions at High Energies

. Phys. Rev. 72, 1114 (1947). https://doi.org/10.1103/PhysRev.72.1114
Baidu ScholarGoogle Scholar
30. B. Bülow, B. Johnsson, M. Nilsson et al.,

Photospallation of51V at intermediate energies

. Zeitschrift für Physik A 278, 89 (1976). https://doi.org/10.1007/BF01547346
Baidu ScholarGoogle Scholar
31. G. Rudstam,

The evaporation step in spallation reactions

. Nucl. Phys. A 126, 401 (1969). https://doi.org/10.1016/0375-9474(69)90475-8
Baidu ScholarGoogle Scholar
32. M. Areskoug, B. Schrøder, K. Lindgren,

Photofission in bismuth at intermediate energy

. Nucl. Phys. A 251, 418 (1975). https://doi.org/10.1016/0375-9474(75)90538-2
Baidu ScholarGoogle Scholar
33. A. Koning, S. Hilaire, S. Goriely. User Manual of TALYS-1.96 (2021). https://doi.org/10.1051/ndata:07767
34. O. S. Deiev, I. S. Timchenko, S. M. Olejnik et al.,

Cross-sections of photonuclear reactions 65Cu(γ, n)64Cu and 63Cu(γ, xn)63?xCu in the energy range Eγ max = 35–94 MeV

. Chin. Phys. C 46, 124001 (2022). https://doi.org/10.1088/1674-1137/ac878a
Baidu ScholarGoogle Scholar
35. G. G. Jonsson, K. Lindgren,

A Complementary Study of Photospallation Systematics

. Phys. Scr. 15, 308 (1977). https://doi.org/10.1088/0031-8949/15/5-6/004
Baidu ScholarGoogle Scholar
36. G. G. Jonsson, K. Lindgren,

Pion effects in 127I(γ, xn) reactions of high multiplicity

. Nucl. Phys. A 141, 355 (1970). https://doi.org/10.1016/0375-9474(70)90851-1
Baidu ScholarGoogle Scholar
37. A. J. Koning, S. Hilaire, M. C. Duijvestijn,

TALYS-1.0, ND 2007 - International Conference on Nuclear Data for Science and Technology

, April 22-27, Nice, France. ND2007:058 (2007). https://doi.org/10.1051/ndata:07767
Baidu ScholarGoogle Scholar
38. A. J. Koning, J. P. Delaroche,

Local and global nucleon optical models from 1 keV to 200 MeV

. Nucl. Phys. A 713, 231 (2003). https://doi.org/10.1016/S0375-9474(02)01321-0
Baidu ScholarGoogle Scholar
39. D. G. Madland.

Meeting on the Nucleon-Nucleus Optical Model up to 200 MeV

, Bruyeres-le-Chatel, France, November 13-15, 1996. arXiv:nucl-th/9702048.
Baidu ScholarGoogle Scholar
40. A. Koning, S. Hilarie, S. Goriely, Manual for TALYS 1.96, pp. 75-80
41. G. Rudstam,

Systematics of Spallation Yields

. Zeitschrift für Naturforschung A 21, 1027 (1966). https://doi.org/10.1515/zna-1966-0724
Baidu ScholarGoogle Scholar
42. S. G., Rudstam.

Spallation of elements in the mass range 51–75

. Philosophical Magazine and Journal of Science, 46, 344 (1955). https://doi.org/10.1080/14786440308521088
Baidu ScholarGoogle Scholar
43. R. Silberberg, C. H. Tsao,

Partial Cross-Sections in High-Energy Nuclear Reactions, and Astrophysical Applications. I. Targets With z <= 28. ApJ.

, Suppl. Ser. 25, 315 (1973). https://doi.org/10.1086/190271
Baidu ScholarGoogle Scholar
44. K. Sümmerer, B. Blank,

Modified empirical parametrization of fragmentation cross sections

. Phys. Rev. C 61, 034607 (2000). https://doi.org/10.1103/PhysRevC.61.034607
Baidu ScholarGoogle Scholar
45. K. Sümmerer,

Improved empirical parametrization of fragmentation cross sections

. Phys. Rev. C 86, 014601 (2012). https://doi.org/10.1103/PhysRevC.86.014601
Baidu ScholarGoogle Scholar
46. C. Schmitt, K.-H. Schmidt, A. Kelić-Heil,

SPACS: A semi-empirical parameterization for isotopic spallation cross sections

. Phys. Rev. C 90, 064605 (2014). https://doi.org/10.1103/PhysRevC.90.064605
Baidu ScholarGoogle Scholar
47. C. Schmitt, K.-H. Schmidt, A. Kelić-Heil,

Erratum: SPACS: A semi-empirical parameterization for isotopic spallation cross sections [Phys. Rev. C 90, 064605 (2014)]

. Phys. Rev. C 94, 039901 (2016). https://doi.org/10.1103/PhysRevC.94.039901
Baidu ScholarGoogle Scholar
48. K. Sümmerer, W. Brüchle, D. J. Morrissey et al.,

Target fragmentation of Au and Th by 2.6 GeV protons

. Phys. Rev. C 42, 2546 (1990). https://doi.org/10.1103/PhysRevC.42.2546
Baidu ScholarGoogle Scholar
49. K. Sümmerer,

Erratum: Improved empirical parametrization of fragmentation cross sections [Phys. Rev. C 86, 014601 (2012)]

. Phys. Rev. C 87, 039903 (2013). https://doi.org/10.1103/PhysRevC.87.039903
Baidu ScholarGoogle Scholar
50. R. K. Tripathi, F. A. Cucinotta, J. W. Wilson,

Accurate universal parameterization of absorption cross sections

. Nucl. Instrum. Methods Phys. Res. Sect. B 117, 347 (1996). https://doi.org/10.1016/0168-583X(96)00331-X
Baidu ScholarGoogle Scholar
51. R. K. Tripathi, J. W. Wilson, F. A. Cucinotta,

Accurate universal parameterization of absorption cross sections II — neutron absorption cross sections

. Nucl. Instrum. Methods Phys. Res., Sect. B, 129, 11 (1997). https://doi.org/10.1016/S0168-583X(97)00121-3
Baidu ScholarGoogle Scholar
52. S. R. Sarkar, M. Soto, Y. Kubota,

Photospallation of Complex Nuclei at Intermediate Energies

. I. Radiochimica Acta, 55, 113 (1991). https://doi.org/10.1524/ract.1991.55.3.113
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.