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Original Article
5 (
2
); 226-239
doi:
10.25259/JQUS_29_2025

Pairing Effect on Nuclear Level Density of 56Fe Using Statistical Mechanics With Single Particle States (SMSPS)

Department of Physics, College of Science, Qassim University, Burydah, Qassim, Saudi Arabia,
Department of Physics and Astronomy, Iowa State University, Ames, IA, United States

* Corresponding author: Prof. Bassam Shehadeh, Department of Physics, College of Science, Qassim University, Burydah, Qassim, Saudi Arabia. bassam.shehadeh@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Al-Mutairi R, Shehadeh B, Vary JP. Pairing Effect on Nuclear Level Density of 56Fe Using Statistical Mechanics With Single Particle States (SMSPS). J Qassim Univ Sci. 2026;2:226-39. doi: 10.25259/JQUS_29_2025

Abstract

Objectives

In this study, we investigate the nuclear level densities of 56Fe using the statistical mechanics using single-particle states (SMSPS) model, incorporating nuclear pairing correlations. The Hamiltonian is decomposed into mean-field and pairing components, enabling a detailed analysis of thermal properties over a wide temperature range.

Material and Methods

Calculations are performed with and without pairing effects, employing a surface delta interaction (SDI) potential. Comparison with experimental data reveals that pairing significantly enhances the agreement at low temperatures, markedly influencing both excitation energy and nuclear level densities.

Results

Our results underscore the essential role of pairing in accurately describing nuclear statistical properties at low energies.

Conclusion

The study highlights the SMSPS model as a computationally efficient and reliable framework for predicting the thermodynamic behavior of medium-to-heavy nuclei.

Keywords

NN correlation
Nuclear level density
Nuclear structure
Pairing effect
Statistical mechanics

INTRODUCTION

The formation of elements in stars, particularly iron, is a fundamental process in astrophysics. The study of 56Fe is especially significant, as it represents the heaviest nucleus produced through stellar fusion. Understanding its nuclear level density (NLD) is essential for explaining the synthesis of heavier elements in extreme astrophysical environments such as supernovae and neutron star mergers.[1,2]

NLD is a key microscopic quantity that reflects the underlying nuclear structure and the distribution of nucleons among available energy levels. It serves as a sensitive probe of nuclear configurations. Accurate determination of level densities enables direct calculation of nuclear transition amplitudes through Fermi’s golden rule, thereby allowing predictions of reaction pathways and cross sections.

Incorporating pairing effects into level-density calculations is crucial, as nucleons (protons and neutrons) tend to form pairs due to attractive interactions. This pairing introduces energy gaps in the single-particle (SP) spectrum and significantly influences nuclear heat capacity and excitation energy, particularly at low temperatures. Including pairing effects thus leads to more realistic and predictive models.

Statistical mechanics using single-particle states (SMSPS) method[3] employed in this study provides an efficient framework for computing nuclear level densities while capturing many essential many-body effects. Compared to more computationally demanding approaches, such as Monte Carlo simulations,[4] SMSPS offers a balance between computational simplicity and physical accuracy, making it a valuable tool for exploring nuclear thermodynamic properties.

MATERIAL AND METHODS

The SMSPS model is employed to calculate the thermal properties of 56Fe by decomposing the Hamiltonian into mean-field and pairing components. Realistic SP spectra are derived from a Woods-Saxon (WS) potential, incorporating spin-orbit coupling. Pairing correlations are introduced using a surface delta interaction (SDI) potential. Key observables, including excitation energy, heat capacity, and level densities, are computed using canonical ensemble methods.

The SP Partition Function

Starting from the basic definition of the Hamiltonian

(1)
H=T+V,

where

(2)
H^= j=1 At rj + j,i=1 i>j Av( rj, ri ),

here t( rj ) is the single nucleon kinetic energy

(3)
t rj = 2 2m j2 ,

and the second term v( rj , ri ) is the nucleon-nucleon interaction potential for nucleons at rj and ri . By adding and subtracting the mean field potential j=1 A v( rj ) , one obtains

(4)
H^= jt rj +j=1 Av( rj )+ j,i=1 i>j Av( rj , ri )j=1 Av( rj ).

The first two terms in the right-hand side of Eq. (4) represent the mean field Hamiltonian H^m , whereas the last two terms are called the is the residual interaction Hamiltonian, or simply the pairing Hamiltonian. Thus, the Hamiltonian H^ is

(5)
H^= H^m+H^P ,

where

(6)
H^m = j t( rj )+v( rj ) = jh( rj ),

and

(7)
H^P = j i>j v( rj , ri )v( rj ) .

Here H^m is the mean field Hamiltonian, h( rj ) which represents the single-nucleon Hamiltonian, and H^P is the residual or (effective) two-body interaction Hamiltonian between the valence nucleons required to be explicitly taken into account for a description of nuclei with two or more valence nucleons, where “residual” refers to the part of the interaction that is not absorbed into the central potential. This leads to the mixing of various configurations and removes the degeneracy of the states that belong to the same configuration.[5] For open shell nuclear systems, such as 56Fe, the nuclear pairing Hamiltonian[6] is particularly important. For our specific application, we consider the pairing interaction contributions to the states above the Fermi level. The SP partition function Z1 defined as[3]

(8)
Z1 (β)=α,k ψα(k) eβH^ ψα(k) + 4πV h3 2mEmax eβ p2 2m p2 dp,

The first term in the right-hand side is the discrete single-particle states (SPS) partition function,

(9)
Z1 SPS = α,k ψα (k) eβH^ ψα (k) ,

produced by the mean field Hamiltonian. The degenerate substates are labeled by the index k. The index α denotes the set of quantum numbers for each degenerate state. The second term in the right-hand side of Eq. (8) is the continuum (classical) partition function.

(10)
Z1 cont = 4πV h3 2mE max eβ p2 2m p2 dp.

Emax stands for an energy cutoff defining the mean field Hamiltonian’s maximum resonance state, and V stands for the volume of the continuum state. The integral can be computed to give the value of Eq. (10), which represents the sum of the continuum states to yield

(11)
Z1 cont β,V =V 2πm h2 β 3 2 × 1+2 βEmax π eβEmax erf βEmax .

The total summation of discrete states can be implemented as long as the adopted mean field possesses spherical symmetry (which we adopt here), meaning that there is degeneracy with regard to the angular momenta projection m Jα as[3]

(12)
Z1 SPS β =α gα eβ Eα+ H^P = α m Jα =Jα +Jα eβ Eα+ H^P

where Eα is the SP energy of the level α. The degeneracy of the αth state is

gα = k ψα k |ψα k

The partition function in Eq. (12) represents the partition function of SPS plus pairing. Within the framework of the SMSPS, the effects of pairing and spin-orbit splitting are averaged by arranging the nucleons using a technique, which we call configuration-restricted recursion.[3] We implement this technique for a fixed species of protons or neutrons by constructing the partition function for a subgroup of that species that limits the values of the magnetic projection of the total angular momentum quantum number mJ to positive (+Jα ’s) and negative (Jα ’s) values. Thus, we obtain the two SPS partition functions of those restricted ranges, denoted as Z1 SPS (+) and Z1 , given by

(13)
Z1 SPS β (+) = α m Jα = Jα , Jα1,...>0 e(βEα ) ; Z1 SPS β () = α m Jα =Jα ,Jα+1,...<0 e(βEα ) .

where Eα = Eα+EF . Making use of Eq. (11) and Eq. (13) within Eq. (8), we obtain Z1 (±)

(14)
Z1 (±) (β)= Z1 SPS β (±) +Z1 cont (β,V).

The nuclear partition function observable calculations

We then recur the partition function in Eq. (14) for the given projected configurations of protons (or neutrons) using the recursion formula for spinless identical fermions, given in the reference.[7] This formula for identical spinless (or polarized) fermions is

(15)
Zn (β)= 1n ν=1 n 1 1 ν+1 Z νβ Znν (β), Z0 (β)=1.

where n has to be replaced by Z1 for the proton case (N1 for the neutron case) in the (+) states and by Z2 for the proton case (N2 for the neutron case) in the (−) states. Let Z= Z1 +Z2 ​ denote the total number of protons, N= N1 +N2 ​ the total number of neutrons, and A=Z+N the total number of nucleons. Note that for even Z (or N) then Z1 = Z2 =Z/2 (or N1 = N2 =N2 ). For odd Z (or N), we choose Z1 =(Z+1)/2 and Z2 =(Z1)/2 (or N1 =(N+1)/2 and N2 =(N1)/2 ). The recursion formula Eq. (15) gives exact values of the partition functions at specific values of n and β. Up to this point, we obtain Z Z1 (+) and Z N1 (+) for Z1 protons and N1 neutrons, respectively, which thermally populate the +Jα ’s states. Following the corresponding procedure, we now obtain Z Z2 () and Z N2 () for Z2 protons and N2 neutrons that populate the Jα ’s states. The total nuclear partition function is constructed by

(16)
ZA (β)= Z Z1 (+) Z Z2 () Z N1 (+) Z N2 () .

With this product in Eq. (16) of restricted sub-configuration partition functions, the total magnetic projection quantum number is restricted, on average, to zero for each nucleon species (protons or neutrons). Thus, the fact that each nucleon species occupies SP states predominantly in spin-paired configurations is taken into account, on average. Once the nuclear partition function is computed for the desired system at a given temperature, the observables such as the average thermal energy EA, the heat capacity CA, and the number of levels per unit energy gA can be computed, respectively, in the canonical ensemble:

(17)
EA (β)=β logZA (β); CA (β)=kB β2 EA β ,

and the level density is given by

(18)
gA (E)= βeS(β)/ kB ) 2πCA (β)/ kB = β 2πCA (β)/ kB ZA (β) eβEA (β) .

The factor ZA (β) eβEA (β) is the number of microstates Ω A(E). We also notice that the heat capacity and the level densities are independent of the lowest-state energy Egs, as expected. We can easily prove in the canonical ensemble that

(19)
ΔE EA2 EA 2 = 1β CA (β)/ kB .

Therefore, Eq. (18) can be reduced to

(20)
gA (E)= 1 2π ΩA (E) ΔE .

As β → ∞ (T = 0) nucleons occupy the lowest possible states, where the pairing gap between EF and E valence is at maximum width.

The pairing effect

Since Bohr, Mottelson, and Pines’ original work,[8] the major impacts of nuclear pairing have been established in terms of basic nuclear characteristics.[8] After a short while, the nuclear structure literature used the Bardeen-Cooper-Schrieffer (BCS) theory for metallic superconductivity and the quasiparticle (QB) form. In nuclear physics, BCS or more complex Hartree-Fock-Bogolyubov (HFB) approximations are now accepted practices. The Hamiltonian is composed of two parts: a pure SP part and a residual interaction that works on time-reversed (Cooper pairs).[9]

(21)
H= α Eα aα aα+α, α Vα, α aα aα¯ aα¯' aα ,

where aα ( aα ) is the creation (annihilation) operator for the state α, and aα¯ ( aα¯ ) is the creation (annihilation) operator for the time-reversed state α¯. The factor Vα, α represents pairing interaction strength.

Thermal Evolution of Excitation Energy and the Effect of Pairing Strength

In the finite-temperature BCS (FT-BCS) theory,[10] the nuclear pairing Hamiltonian is similar to the one given in Eq. (21), except for the interaction strength is assumed to be constant for simplicity.[11] Thus, the pairing Hamiltonian (21) is written as

H= α Eα aα aα+AT α, α aα aα¯ aα¯' aα ,

where Eα are the SP energies, AT is the pairing strength. At temperature T = β−1, the gap equation is[10]

1= AT α 12 fα 2 Eα ,

with

fα = 1 1+eβEα , Eα = ( Eαμ) 2 +Δ2 ,

where fα is the Fermi-Dirac distribution, and µ is the chemical potential (in our case, it is EF ). As the temperature increases, the pairing gap ∆ gradually decreases and collapses at a critical temperature Tc, signaling the breakdown of pairing correlations, and the gap vanishes (Δ=0 ). The thermal excitation energy is defined by

Ex (T)= HT H T=0 ,

which, in the FT-BCS framework, can be expressed as

Ex (T)= α ( Eαμ) 1 Eαμ Eα tanh βEα 2 + Δ2 Eα tanh βEα 2 E gs ,

where Egs is the ground-state energy at T = 0. The relationship describing the behavior of the BCS energy gap near the critical temperature Tc is given by the empirical relation[12]

Δ(T)3.06 kB Tc 1T Tc .

The validity of the BCS energy gap equation near the critical temperature implies that TTc . At low temperature TTc , the energy gap can be approximated to first order.

Δ(T)3.06 kB Tc 1T 2 Tc .

The typical critical temperature in the region has been estimated to be approximately 0.6 MeV.[13] As reported in Ref.,[3] for 56Fe, the pairing gap remains nearly constant at Δ = 2.01 MeV when T ≤ 0.885 MeV. In this temperature regime, the thermal excitation is dominated by contributions from the valence nucleons, while the effect of the core nucleons is negligible. Consequently, the present work restricts the model space to the four valence-shell orbits.

Using the BCS theory, pairing correlations are related to thermal effects through a common description. The pairing Hamiltonian in BCS

(22)
HP = AT α, α aα aα¯ aα¯' aα ,

can be incorporated in the partition function of SPS plus pairing given by Eq. (12). The thermal population of particles among available states has been addressed using various approaches, most notably through Monte Carlo techniques, to extend model applicability to hot nuclei.[4,14,15] However, even when restricted to a limited set of orbits near the valence shell, such methods demand substantial computational resources. The Hartree–Fock–Bogoliubov (HFB) theory[16,17] provides the theoretical foundation for an alternative framework that incorporates pairing correlations. Nevertheless, the HFB approach is constrained by issues related to particle-number fluctuations and quasiparticle parity mixing.[6,18] In the present work, we employ the SMSPS method to describe the thermal population of states.

Two-nucleon matrix-element

The two-nucleon interaction V is formulated in terms of the antisymmetrized two-nucleon matrix element υ¯αβγδ ,[19] given as

(23)
V= 1 4 αβγδ υ¯αβγδ cα cβ cγ cδ ,

The anti-symmetric matrix element can be calculated as

(24)
υ¯αβγδ = αβ|V|γδ ,

where

(25)
|αβ= cα cβ |0; and |γδ= cγ cδ |0,

are the normalized and anti-symmetrized two-nucleon states relative to the chosen vacuum state |0JQ29_087 - Copy.wmf], usually are |CORE). The normalized angular-momentum coupled of two-nucleon states a and b is given by[20]

(26)
|ab;JM= Nab (J) mα , mβ ja mα ; jb mβ |JM cα cβ |CORE,

(27)
= Nab J ca cb JM |CORE.

Here ja mα ; jb mβ |JM is the Clebsch-Gordan coefficient, and Nab (J) is the normalization factor given by

(28)
Nab J = 1δab (1) J 1+δab ,

where

δab = 0, for ab 1, for a=b

The coupled-creation operator

(29)
ca cb JM = mα, mβ ja mα ; jb mβ |JM cα cβ .

We can obtain uncoupled operators by multiplying Eq. (29) by the conjugate of the Clebsch-Gordan coefficient and sum over all possible J and M states, and using the unitarity property, we get

(30)
JM ja mα ; jb mβ |JM ja mα ; jb mβ |JM = δ mα , mα δ mβ , mβ .

The uncoupled two-body operators

(31)
cα cβ = JM ja mα ; jb mβ |JM ca cb JM ,

and

(32)
cγ cδ = J M jc mγ ; jd mδ | J M cc cd J M ,

operate with this on the vacuum and account for normalization in Eq. (27)

(33)
cα cβ |0=|αβ=JM ja mα ; jb mβ |JM Nab J 1 |ab;JM.

Make use of Eq. (33) and its conjugate in Eq. (24), one can determine the antisymmetric matrix element

(34)
υ¯αβγδ = αβ|V|γδ = JM, J M ja mα ; jb mβ |JM Nab J 1 × jc mγ ; jd mδ | J M Ncd J 1 ab;JMVcd; J M.

Make use Eq. (34) into Eq. (23) yields

(35)
V= 1 4 αβγδ JM, J M Nab (J) Ncd ( J ) 1 ja mα ; jb mβ |JM jc mγ ; jd mδ | J M ×ab;JMVcd; J Mcα cβ cγ cδ .

Make use of Eqs. (31) and (32) to substitute cα cβ and cγ cδ by [ ca cb ] JM and [ cc cd ] J M , respectively, utilize the normalization property of the Clebsch-Gordan Coefficients and apply the summation over all SPS, and use c˜α (1) ja+ma cα , we obtain

(36)
V= 1 4 abcd JM J' M' Nab (J) Ncd ( J ) 1 ab;JMVcd; J M × ca cb JM (1) J+M+1 [ c˜c c˜d ] J ,M .

The two-body interaction V in Eq. (36) is a scaler. In spherical tensor language, it is a tensor of rank zero; λ = 0. Using Wigner-Eckart theorem[21,22]

(37)
ab;JMVcd; J M= (1) J+M J 0 J M 0 M ab;J V cd; J,

where

(38)
(1) J+M J 0 J M 0 M =J^δJJ δM,M ,

and

J^= 2J+1 .

Thus,

(39)
ab;JMVcd; J M= δJJ δM,M ab;JVcd; J.

We arrive at the resulting expression for V

(40)
V= 1 4 abcd J Nab (J) Ncd (J) 1 ab;JVcd;J ×M (1) J+M ca cb JM [ c˜c c˜d ] J,M .

The scaler product of two spherical tensors of the same rank[23]

(41)
TL SL =( 1) LL^ TL SL 00 = M (1) m TLM SL,M ,

simplifies Eq. (40) to

(42)
V= 1 4 abcd JJ^ Nab (J) Ncd (J) 1 ab;JVcd;J ca cb J [ c˜c c˜d ] J 00 .

Eq. (33) can be modified further by adding the isospin

(43)
|αβ= JM, TMT ja mα ; jb mβ |JM ta mα ; tb mβ |TMT Nab JT 1 |ab;JM;TMT.

The relation between coupled and uncoupled two-nucleon interaction matrix elements

(44)
ab;JTVcd;JT=Nab (JT) Ncd (JT) mα mβ m tα m tβ ja mα jb mβ |JM 1 2 m tα 1 2 m tβ |TMT × mγ mδ m tγ m tδ jc mγ ; jd mδ |JM 1 2 m tγ 1 2 m tδ |TMT v¯αβγδ ,

where

(45)
υ¯αβγδ = JM, TMT Nab (JT) Ncd (JT) 1 ja mα jb mβ |JM 1 2 m tα 1 2 m tβ |TMT × jc mγ ; jd mδ |JM 1 2 m tγ 1 2 m tδ |TMT ab;JTVcd;JT.

The normalization factor Nab (JT)JQ29_117 - Copy.eps] is given by

(46)
Nab (JT)= 1δab (1) J+T 1+δab

The equivalent form of Eqs. (37) and (38) are given by

ab;JMVcd; J M= δJJ δMM δTT δ MT MT ab;JT V cd; J T,

which leads to

(47)
V= 1 4 abcd J T=0,1 J^T^ Nab (JT) Ncd (JT) 1 ab;JTVcd;JT × ca cb JT [ c˜c c˜d ] JT 00 00 .

The nuclear states of two-particle nuclei with coupled angular momentum

(48)
|ab;JM;TMT= Nab JT ca cb JM TMT |CORE,

On the other hand, for two-hole nuclei, the coupled angular momentum and isospin quantum state can be written as

(49)
| a1 b1 ;JM;TMT= Nab JT ha hb JM TMT |HF.

The operator hamα± 1 2 =c˜amα± 1 2 . For one-hole systems, either one-proton

(50)
a1 ;JMα ; 1 2 + 1 2 =| p1 ;JMα,

or one-neutron

(51)
a1 ;JMα ; 1 2 1 2 =| n1 ;JMα.

Schematic Zero-Range Force

A zero-range force assumes that the interaction between two nucleons occurs only when they are at the same point in space. In other words, instead of having a force that depends on distance (like the Coulomb or Yukawa potential), it is treated as acting only when the relative distance r = 0. Such a force is presented by the delta function

(52)
V0 r1 , r2 =Vδ δ (3) r1 r2 ,

where Vδ is the strength constant. Using the expansion of the delta function in spherical coordinates

V0 =Vδ 1 r1 r2 δ( r1 r2 )δ( Ω1 Ω2 ).

Assuming the central part VLδ is involved in calculating the energy gap

(53)
VL (δ) r1 , r2 =Vδ δ r1 r2 r1 r2 .

The δ-function potential is non-separable. Instead, we consider the SDI defined by

(54)
VSDI r1 , r2 =V0 δ (3) r1 r δ (3) r2 r , =V0 δ r1 R r1 δ r2 R r2 δ Ω1 Ω2 ,

where R is the nuclear radius. V0 is the potential depth (energy/L4). The SDI is a modified, more realistic version of the delta interaction. It assumes that nucleon–nucleon pairing occurs mostly at R, near the nuclear surface, where the valence nucleons reside. So instead of acting everywhere, the delta force is localized at the nuclear surface. The central component of the SDI becomes

(55)
VL (SDI) r1 , r2 =V0 δ r1 R r1 δ r2 R r2 .

We note that the SDI potential becomes separable and has the same radial term for all pole ranks. Here, the rank = 2 L. This separability makes SDI easy to use in configuration interaction and pairing models, especially in shell-model calculations.

Investigations show[24] SDI is realistic because it reproduces the nucleon-nucleon scattering data. The reason is that the outermost nucleons contribute the most to the scattering cross-section, especially at low energy scattering, where the cross-section is maximum.[25] The SDI effectively captures the pairing correlations among valence nucleons without detailed short-range dynamics. It reproduces empirical energy gaps and spectra for many medium-mass nuclei.[26] Since valence nuceons tend to occupy orbitals near the surface, the SDI gives a good approximation to the observed trends in nuclear structure.

Two-Body Matrix Element of the SDI

We want to evaluate the matrix element ab;JTVcd;JT in Eq. (44) using SDI to evaluate the two-body matrix as in Eq. (45). Because the SDI acts only on the surface and depends only on angular coordinates, it’s separable in the angular part. We can write

(56)
V( r1 , r2 )= 2L+1 4π L fL ( r1 ) fL ( r2 ) PL (cosγ),

where PL (cosγ) ​ is a Legendre polynomial of the angle γ, such that cosγ= r^1 r^2 . The radial functions fL (r) are taken from Eq. (55),

(57)
fL (r)= V0 δ(rR) r .

Thus, the SDI becomes

(58)
VLSDI = fL ( r1 ) fL ( r2 ).

Using the addition Theorem for spherical harmonics for two directions r^1 =( Ω1 ) [GETIMGFILENAME=D:\ZAZA\SS\JQUS\XML\JQUS_29_2025\JQUS_29_2025\JQUS_29_2025_R30_InDesign\Links\ and r^2 =( Ω2 ) [GETIMGFILENAME=D:\ZAZA\SS\JQUS\XML\JQUS_29_2025\JQUS_29_2025\JQUS_29_2025_R30_InDesign\Links\, the SDI potential given in Eq. (55) can be expanded as follows:

(59)
V( r1 , r2 )= L fL ( r1 ) fL ( r2 ) M YLM ( Ω1 ) YLM ( Ω2 ).

Defining the multipole operator QLM as

(60)
QLM (r)fL (r) YLM (Ω).

Thus, expansion (59) becomes

(61)
V( r1 , r2 )= LM QLM ( r1 ) QLM ( r2 ).

The multipole operator obeys the parity relation

QLM =( 1) M QL,M .

Using expansion (61) into Eq. (23), where υ¯αβγδ = αβ| LM QLM ( r1 ) QLM ( r2 )|γδ in Eq. (24) yields

(62)
V= αβγδ LM α QLM γ β QLM δ cα cβ cδ cγ .

Since QLM is a one-body spherical tensor, we turn to the Wigner-Eckart theorem in Eq. (37), and one can express the operator QLM in terms of the reduced matrix element.

QLM = αβ α QLM β cα cβ = L^ 1 ab a QL b cα c˜β ,

where c˜α (1) ja+ma cα . Making use of Eq. (62) yields

(63)
V= abcd L 1 L^ 2 a QL c b QL d ca c˜c L cb c˜d L .

The operator QLM is analogous to the electric operator,[8] therefore, the reduced matrix element

(64)
a QL c = 1 4π ja ^ jc ^L^ (1) L+jc 1 2 1+ (1) la+lc+L 2 ja jc L 1 2 1 2 0 RacL ,

where the quantity RabL is

(65)
Rab (L) = 0 g na la (r) fL (r) g nb lb (r) r2 dr.

The function g na la (r) is the SP radial wave function for nucleon a with principal quantum number na and orbital angular quantum number la . Making use of Eq. (57) in Eq. (64), we obtain

(66)
Rab (L) = V0 0 g na la (r) δ(rR) r g nb lb (r) r2 dr,

or

(67)
Rab (L) = V0 R g na la (R) g nb lb (R).

Define the parameter κab as

(68)
κab =R g na la (R) g nb lb (R),

making the radial parameter Rab (L) to be

(69)
Rab (L) = V0 κab = V0 κba .

Define

(70)
Kabcd V0 16π κac κbd .

Consequently, Eq. (64) becomes

(71)
a QL c = 64π Kabcd ja ^ jc ^L^ (1) L+jc 1 2 1+ (1) la+lc+L 2 ja jc L 1 2 1 2 0 .

Make use of Eq. (71) in Eq. (63), assuming the nucleons couple to total angular momentum J, and thus replace L by J yields the two-body matrix for SDI as[27]

(72)
ab;J V SDI cd;J =Kabcd Nab (J) Ncd (J) ja ^ jb ^ jc ^ jd ^ × (1) la+jb+lc+jd 1+ (1) la+lb+lc+ld 1+ (1) J+lc+ld × ja jb J 1 2 1 2 0 jc jd J 1 2 1 2 0 .

The two-body matrix element in the isospin representation can be directly obtained, as the Hamiltonian contains no isospin-dependent term. By generalizing Eq. (72), we obtain:[28]

(73)
ab;JT VSDI cd;JT =Kabcd Nab (JT) Ncd (JT) ja ^ jb ^ jc ^ jd ^ 1+ (1) la+lb+lc+ld × 1+ (1) T ja jb J 1 2 1 2 1 jc jd J 1 2 1 2 1 (1) la+lc+jb+jd [1 (1) lc+ld+J+T ] ja jb J 1 2 1 2 0 jc jd J 1 2 1 2 0 .

The value of the oscillator wave function gnl(r) at the nuclear surface r = R is independent of quantum numbers n and l, with a phase factor depending on n.[29,30] This makes the parameter Kabcd independent of a, b, c, and d. Hence

(74)
Kabcd r=R (1) na+nb+nc+nd Kabcd .

We utilize a simplified constant magnitude parameter Kabcd for T = 0,1[28,29]

(75)
Kabcd r=R (1) na+nb+nc+nd AT .

Here, AT=0 and AT=1 is chosen for best best-fit parameters. Special cases for Eq. (73) when a = b and c = d

a2 ;JT VSDI c2 ;JT =AT [1 (1) J+T ] ja ^2 jc ^2 × 1 2 [1+ (1) T ] ja ja J 1 2 1 2 1 jc jc J 1 2 1 2 1 (1) la+lc+ja+jc ja ja J 1 2 1 2 0 jc jc J 1 2 1 2 0 .

More special cases when a = c yields

(76)
a2 ;JT VSDI a2 ;JT =AT [1 (1) J+T ] ja ^4 × 1 2 [1+ (1) T ] ja ja J 1 2 1 2 1 2 (1) 2 la+2 ja ja ja J 1 2 1 2 0 2 .

The two-nucleon interaction matrix element for the SDI of T = 1 in the 0f7 /2 shell is given by

(77)
0 f 7 2 2 ;J,T=1 VSDI 0 f 7 2 2 ;J,T=1 =128 A1 7 2 7 2 J 1 2 1 2 0 2 .

Similarly, the two-nucleon interaction matrix element for the SDI of T = 1 in the 1p3 /2 shell is given by

(78)
1 p 3 2 2 ;J,T=1 VSDI 1 p 3 2 2 ;J,T=1 =128 A1 3 2 3 2 J 1 2 1 2 0 2 .

RESULTS AND DISCUSSION

The SMSPS code uses the SPS of protons and neutrons as input and computes and returns the nuclear observables at a given temperature. Those observables are the excitation energy Ex, the heat capacity C, and the level density g, respectively. Due to the recursive nature of the SMSPS, achieving the lowest possible temperatures requires the implementation of a multi-precision algorithm known as “quad-double,” developed by Hida and Bailey.[31,32]

Table 1 shows the SP energy levels of 56Fe in MeV obtained using the WS calculation.[11] In this study, our model space is restricted to the valence shells of 56Fe, which includes the four orbitals listed in Table 2. The valence states of 56Fe are without pairing of 4-orbits (0f7/2, 1p3/2, 1p1/2, and 0f5/2)[11]. The SPS energy levels and model space divisions have been shown in Figure 1.

Table 1: SP energies of 56Fe. Taken from the mean-field theory.
Orbitals Proton energies (MeV) Neutron energies (MeV)
0s1/2 -34.7106 -42.0333
0p3/2 -25.3351 -32.212
0p1/2 -24.0715 -31.1979
0d5/2 -15.0034 -21.5607
0d3/2 -12.7911 -19.6359
1s1/2 -12.3511 -19.184
0f7/2 -4.1205 -10.4576
1p3/2 -2.036 -8.4804
1p1/2 -1.2334 -7.7025
0f5/2 -1.2159 -7.6512

SP: Single particle

Table 2: The valence states of 56Fe in the ground state, without pairing. Only 0f7/2 and lp3/2 are populated, where lp1/2 and 0f5/2 are the excitation states.
Orbitals Protons Energies (MeV) Neutrons Energies (MeV)
0f7/2 -4.1205 0.0000 -10.4576 0.0000
1p3/2 -2.036 2.0845 -8.4804 1.9772
1p1/2 -1.2334 2.8871 -7.7025 2.7551
0f5/2 -1.2159 2.9064 -7.6512 2.8064
The SP energy levels in MeV of 2656Fe30 from WS calculations (WS: Wood Saxon; SP: Single-particle).
Figure 1: The SP energy levels in MeV of 2656Fe30 from WS calculations (WS: Wood Saxon; SP: Single-particle).

Figure 2 shows the excitation energy versus temperature (in MeV) without pairing for 56Fe. Excitation energy generally shows a tendency to be zero at low temperature, with no discernible rise for T < 0.2 MeV. This suggests that there is not enough thermal energy to excite nucleons to higher valence states. At low temperatures, nuclei primarily occupy lower energy states. As the temperature rises, more nucleons gain sufficient thermal energy to shift to excited states, which causes an increase in excitation energy. When the temperature rises over T = 0.2 MeV, internal energy increases quickly. As the temperature rises, more nuclear states become accessible and thus the excitation energy increases as the temperature increases.

The excitation energies in MeV) versus temperature (in MeV) without pairing for 56Fe computed by the SMSPS using the SPS. (SMSPS: Statistical mechanics with single particle states; SPS: Single particle states)
Figure 2: The excitation energies in MeV) versus temperature (in MeV) without pairing for 56Fe computed by the SMSPS using the SPS. (SMSPS: Statistical mechanics with single particle states; SPS: Single particle states)

Figure 3 displays the SMSPS heat capacities for 56Fe without pairing as a function of temperature. The graph can be divided into three distinct temperature regions. In the low-temperature region (T < 0.1 MeV), corresponding to the superfluid phase, the system initially resists excitation.[10] As a result, the heat capacity remains low and nearly constant. In the intermediate region (0.1 < T < 0.7 MeV), a small peak or hump appears in the heat capacity curve. This feature is attributed to the subshell closure of the 0f7/2 orbital, where thermal energy is utilized to overcome the shell closure rather than to increase the temperature. Beyond this point, the heat capacity increases rapidly with temperature. In the high-temperature region (T > 0.7), the 4-orbit model space is exhausted. Consequently, the heat capacity drops because further excitation requires promoting nucleons from the core to higher-lying resonance states or the continuum.[3] Therefore, the maximum valid temperature for the unpaired 4-orbit model is approximately T = 0.7 MeV, corresponding to an excitation energy of Ex =3.5 MeV.

Heat capacity versus temperature (in MeV) for 56Fe computed without pairing by the SMSPS using the SPS. (SMSPS: Statistical mechanics with single particle states; SPS: Single particle states)
Figure 3: Heat capacity versus temperature (in MeV) for 56Fe computed without pairing by the SMSPS using the SPS. (SMSPS: Statistical mechanics with single particle states; SPS: Single particle states)

Figure 4 shows the SMSPS NLD for 56Fe nuclei as a function of the excitation energy. The SMSPS level density is compared with the experimental values measured using the Oslo technique[33] and the experimental state counts of 56Fe levels taken from.[34] The SMSPS level density values overestimate the experimental results up to one order of magnitude. The need for incorporating the pairing effect into the SMSPS work frame is very evident.

Comparison of the SMSPS NLD of 56Fe as a function of excitation energy. The SMSPS calculation without pairing is shown alongside experimental data obtained using the Oslo method and the discrete experimental level counts of 56Fe (see legend). (SMSPS: Statistical mechanics with single particle states; NLD: nuclear level density)
Figure 4: Comparison of the SMSPS NLD of 56Fe as a function of excitation energy. The SMSPS calculation without pairing is shown alongside experimental data obtained using the Oslo method and the discrete experimental level counts of 56Fe (see legend). (SMSPS: Statistical mechanics with single particle states; NLD: nuclear level density)

To incorporate the pairing effect into our calculations, we perform computations for several divisions of the pairing strength AT. This is accomplished by employing the SDI potential to generate a 4 × 4 interaction matrix among the valence states for different values of the coupling strength AT​. The resulting matrices are then diagonalized to construct shifted single-valence states, which are subsequently thermally populated using the SMSPS technique. In this model space, consisting of four orbitals (0f7/2, 1p3/2, 1p1/2, and 0f5/2) of the 56Fe nucleus, we diagonalize the 4 × 4 matrix using the LAPACK/BLAS package. The code reads the SPS and constructs a shell–shell interaction matrix using the VSDI potential defined in Eq. (73). Diagonalization yields new eigenvalues, where the diagonal elements represent the modified valence states after accounting for pairing. These states are then read by the SMSPS code to generate excitation energies, heat capacities, and level densities through thermal excitation simulations.

As an example, the amplitude of the two-nucleon interaction matrix element for the SDI Eq. (77) and Eq. (78) is calculated using the 3jSymbol of Mathematica becomes

(79)
0 f 7 2 2 VSDI 0 f 7 2 2 =4 AT ,

and

(80)
1 p 3 2 2 VSDI 1 p 3 2 2 =2 AT .

The SMSPS is calculated exclusively within the 4-orbit valence shell model space. When the pairing interaction is included, this model space remains valid up to temperatures of T = 1.3 MeV, as illustrated in Figures 5 and 6. Within this temperature range (T ≤ l.3 MeV), the valence nucleon contribution is sufficient to capture the essential features of nuclear heat capacity. At low temperatures (T < 0.15 MeV), the heat capacity is strongly influenced by shell closures, where excitation requires overcoming quantized energy gaps between nuclear levels. As the temperature increases beyond T > 0.5 MeV, a noticeable rise in heat capacity is observed, indicating a transition from a superfluid-like phase to a more normal fluid or quantum gas state.[35]

Comparison of the effect of pairing on the heat capacity of 56Fe as a function of temperature (in MeV), calculated using the SMSPS within a 4-orbit model space. (SMSPS: Statistical mechanics with single particle states)
Figure 5: Comparison of the effect of pairing on the heat capacity of 56Fe as a function of temperature (in MeV), calculated using the SMSPS within a 4-orbit model space. (SMSPS: Statistical mechanics with single particle states)
Comparison of the effect of pairing on the SMSPS heat capacity of 56Fe as a function of temperature (in MeV). All calculations are performed within a 4-orbit model space. (SMSPS: Statistical mechanics with single particle states)
Figure 6: Comparison of the effect of pairing on the SMSPS heat capacity of 56Fe as a function of temperature (in MeV). All calculations are performed within a 4-orbit model space. (SMSPS: Statistical mechanics with single particle states)

Figure 7 shows the excitation of the paired states versus temperature (in MeV) for 56Fe. The figure shows a set of curves plotting excitation energy Ex (in MeV) on the y-axis against the temperature β-1 (in MeV) on the x-axis. Each curve corresponds to a different value of pairing strength AT (ranging from 0.3 MeV to 0.5 MeV). The excitation energy of the paired states shows no thermal response till T > 0.2 MeV. For a given temperature, higher AT values correspond to lower excitation energies, suggesting that AT acts as a damping factor for energy excitation. This plot is common in statistical-model-based nuclear physics, such as Shell Model Monte Carlo (SMMC)[36] or Fermi Gas Model with temperature dependence.[37] The smooth quadratic-like increase in Ex with T matches expectations from level density or thermal excitation models. Pairing correlations are strongest at low temperatures, where nucleons (mainly like-protons or like-neutrons) form Cooper-like pairs. A higher AT means stronger pairing interactions, which yield a more stable ground state; thus, it requires more energy to excite nucleons. In the plot, as AT increases, the excitation energy decreases at a given temperature. This is expected because stronger pairing suppresses thermal excitations, nucleons are more tightly bound in pairs, and resist being thermally broken apart. This is especially noticeable at intermediate temperatures (T ∼ 1-2 MeV range), where thermal effects start to overcome pairing.

SMSPS excitation energies of 56Fe as a function of temperature (in MeV) for various pairing strengths (see legend). All calculations are performed within a 4-orbit model space. (SMSPS: Statistical mechanics with single particle states)
Figure 7: SMSPS excitation energies of 56Fe as a function of temperature (in MeV) for various pairing strengths (see legend). All calculations are performed within a 4-orbit model space. (SMSPS: Statistical mechanics with single particle states)

We observe a subtle and interesting behavior since one expects stronger pairing, or higher AT, to suppress excitation energy more, not less. But at temperature T ∼ 0.58 MeV, the curve for AT = 0.4 MeV increases more rapidly than the one for AT = 0.35 MeV and even meets the AT = 0.3 MeV curve around T = 0.7 MeV. What is happening here is that at intermediate temperatures like 0.5–0.6 MeV, the nucleus is in a transition region where pairing is starting to break. Thermal excitation is strongly kicking. Small changes in pairing strength can cause nonlinear effects in Ex. Possible explanations: pairing phase transition zone. At lower AT, pairing breaks more gradually. But with higher AT, the system holds onto pairing longer and then breaks more suddenly when the thermal energy surpasses the pairing gap. That means at a critical temperature Tc ∼ 0.5–0.6 MeV, the system with AT = 0.4 MeV might be undergoing a rapid breakdown of pairs, dumping a lot of energy into the system suddenly-this shows up as a sharp rise in Ex. Another reason is related to the entropy contribution. When pairs break, the number of available states increases (more quasiparticle states). This boosts the entropy and thus contributes more to the thermal excitation energy. A system with a stronger pairing interaction has more latent “energy” stored in these correlations when they break, the jump in Ex is bigger. The two reasons above cause nonlinear dependence on AT, making its effect not purely linear. Sometimes, slightly higher pairing strengths delay excitation at low temperatures but lead to steeper slopes once the transition threshold is crossed.

Figure 8 shows the calculated SMSPS level densities g(E) of 56Fe as a function of excitation energy Ex for different nucleon pairing strengths AT = 0.3, 0.4, and 0.5 MeV. The theoretical results are benchmarked against the experimental Oslo method data[33] and the discrete level state count from ref.,[34] illustrating the sensitivity of level density to pairing correlations. From examining the figure, the curve corresponding to AT = 0.4 MeV offers the best agreement with both the experimental Oslo data and the experimental state count over a wide range of excitation energies. The AT = 0.3 MeV values overestimate the level density, especially at lower energies. The AT = 0.5 MeV values underestimate the level density across most of the spectrum, especially for higher excitation. The AT = 0.4 MeV curve closely follows the experimental trends, indicating a more accurate reproduction of the observed NLD. Recall that the AT = 0.4 MeV excitation exhibits an abnormal trend with temperature compared to the other curves, as previously discussed in Figure 7.

Level densities of 56Fe calculated using the SMSPS for pairing strengths AT = 0.3, 0.4, and 0.5 MeV. The results are compared with experimental Oslo data and discrete level counts from experimental measurements (see legend). (SMSPS: Statistical mechanics with single particle states)
Figure 8: Level densities of 56Fe calculated using the SMSPS for pairing strengths AT = 0.3, 0.4, and 0.5 MeV. The results are compared with experimental Oslo data and discrete level counts from experimental measurements (see legend). (SMSPS: Statistical mechanics with single particle states)

To further refine our choice of pairing strength, we compare the SMSPS level density values for AT = 0.4 MeV and AT = 0.45 MeV, as shown in Figure 9. Once again, the AT = 0.4 MeV case demonstrates the best agreement with the experimental data. At low excitation energies (around 1–3 MeV), both curves are quite close to each other. As the excitation energy increases, the curve with AT = 0.45 MeV shows a slightly lower-level density compared to AT = 0.4 MeV, the difference becomes more noticeable, with AT = 0.45 MeV consistently showing lower-level densities. The AT = 0.4 MeV curve fits the experimental Oslo data slightly better, especially in the range between (2–6 MeV). The explain of this result is that the fact that nucleons are more strongly coupled when the pairing strength AT = 0.45 MeV is larger. The ground state and excited states have a wider energy gap as a result of this strong coupling. As a result, it is harder to excite nucleons, leading to fewer accessible energy states at any given excitation energy to lower-level density. On the other hand, weaker pairing AT = 0.4 MeV reduces the gap, allowing more excitations and thus a higher-level density.

Level densities of 56Fe calculated using the SMSPS for pairing strengths AT = 0.4 and 0.45 MeV. The results are compared with experimental Oslo data and discrete level counts from experimental measurements (see legend). (SMSPS: Statistical mechanics with single particle states)
Figure 9: Level densities of 56Fe calculated using the SMSPS for pairing strengths AT = 0.4 and 0.45 MeV. The results are compared with experimental Oslo data and discrete level counts from experimental measurements (see legend). (SMSPS: Statistical mechanics with single particle states)

Figure 10 shows that the neutron heat capacity reaches a maximum at approximately T = 1.4 MeV, while the proton heat capacity peaks at a lower value at a similar temperature. This distinction indicates that neutrons contribute more significantly to the thermal excitation processes in the model space than protons. The asymmetry in neutron-to-proton ratio (N = 30, Z = 26) leads to a greater number of active neutron orbitals within the valence shell, providing more available thermal excitation paths. The low-temperature peak observed in the neutron heat capacity is primarily due to quantum mechanical pairing correlations, which result in the formation of Cooper-like pairs among identical nucleons. As temperature increases, the thermal breaking of these pairs significantly increases the number of accessible excited states, producing a characteristic peak in the heat capacity. Furthermore, quantum effects such as the discreteness of SP energy levels and the nuclear shell structure, with energy gaps at specific nucleon numbers, further constrain excitations at low temperatures. These combined effects reflect the complex quantum nature of nuclear matter at finite temperature.[38] We conclude that valence shell contributions to the excitation energy and heat capacity dominate for temperatures below T < 1.4 MeV. According to the SMSPS approach, 56Fe nuclei exhibit superfluid-like behavior within this temperature range, characterized by strong pairing correlations.[3] For temperatures above T > 1.4 MeV, the model space becomes saturated, and the validity of the 4-orbit configuration is limited. At such high thermal energies, excitations involving nucleons outside the valence shell become necessary, which are not accounted for in the current model framework. The inclusion of pairing shifts the heat capacity curve toward higher temperatures, reflecting the additional energy required to break nucleon pairs in the valence space. Consequently, heat capacity values are enhanced in the presence of pairing interactions. Moreover, the excitation energy curve begins to flatten at higher temperatures, indicating that the available SPS within the model space are fully occupied. This saturation limits further excitations, and the system approaches a configuration with restricted thermal response. [39-42]

Comparing the pairing effect on the heat capacities versus temperature (in MeV) for 56Fe, the graph shows the proton and neutron contribution in the presence of pairing (see legends).
Figure 10: Comparing the pairing effect on the heat capacities versus temperature (in MeV) for 56Fe, the graph shows the proton and neutron contribution in the presence of pairing (see legends).

CONCLUSION

In the SMSPS (formalism, including the pairing effect is essential for the following reasons: without pairing, nucleons are treated as independent particles, ignoring correlation, especially at low temperatures, and form Cooper pairs. Pairing introduces an energy gap between the ground and excited states, which suppresses low-energy excitations and reduces level densities at small excitation energies. This helps adjust the level densities to align more accurately with experimental data. To reduce computational burden, we limit the model space to the valence space only because core nucleons are inert at low temperatures. We choose the SDI potential for the following reasons: First, SDI provides a realistic approximation of surface interactions, and its separable form simplifies calculations and ensures analytical tractability of matrix elements. Second, SDI effectively captures the essential pairing correlations between valence nucleons, making it particularly well-suited for studying collective phenomena such as deformation and low-lying excited states in medium and heavy nuclei.

The disadvantages of SDI are the missing tensor and spin-orbit forces, and it assumes sharp surface localization. In SDI, the two-body matrix elements are proportional to AT, which quantifies the strength of effective pairing interactions between valence nucleons. Coupling strength refers to the magnitude of the interaction between nucleons (protons and neutrons) that leads to the mixing of different nuclear configurations. This concept is pivotal in understanding the residual interactions that go beyond the mean-field approximation and significantly influence nuclear structure and spectra. The residual interactions not accounted for in the mean-field are responsible for the mixing of configurations, leading to more accurate descriptions of nuclear states. The coupling strength of these residual interactions determines how strongly different configurations mix.

To extend this work and further test the validity of the calculations, we need to expand model space to include higher orbitals. Benchmark against SMMC, HFB, and experimental data. For further work, we will incorporate a bigger model space for extended views, and we will explore open-shell nuclei, such as 60Ni, 64Zn, 55Mn, 59Co, and 76Se, to examine the generalizability of the model. The motivation to pursue these future studies is to explore how pairing interactions evolve in neutron-rich and proton-rich configurations. Many astrophysical phenomena, from supernova explosions to the synthesis of heavy elements, depend critically on nuclear properties of open-shell nuclei. Understanding shell structure evolution touches on the fundamental nature of the nuclear force and quantum structure of exotic open-shell nuclei far from the region of stability. These nuclei often display unusual properties such as nuclear deformation, shape coexistence, and enhanced collectivity.

Author’s contribution

RM: Data collection, computation, and analysis; BS: Conceptualization, methodology, theoretical development, and writing – original draft; JPV: Conceptualization (original idea), supervision, and review & editing.

Ethical approval

Institutional Review Board approval is not required.

Declaration of patient consent

Patient consent is not required as no patients are involved in the study.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

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