Nuclear Binding Energy (B) Calculation without Quantum Mechanical Correction ()

1. Introduction
The concept of nuclear binding energy was defined after the discovery of the mass defect by Aston [1] as referenced in Evans [2] and the so called by him “failure of the additive law with regards to mass”. Ashton used the packing fraction equation to express the mass defect:
where,
P: Packing fraction;
A: Mass number;
M: Mass of the neutral atom.
At Ashton’s publication time, the components of the atomic nucleus were not known. Later on, when the constituent of the atomic nucleus were in solid grounds, the concept of binding energy (B) was introduced [2] :
where
Z: Atomic number;
MH: Mass of the hydrogen atom;
N: Number of neutrons;
MN: Mass of the neutron.
Note in equation above that the right hand side needs to be multiplied by c2 to have the units of energy.
The prediction of B by a theory has been and still is a matter of great importance. Yukawa in 1934 [3] proposes an equation for B between the proton and the neutron. In 1935, Weizsacker [4] developed a model for the binding energy in similarity to a liquid drop tension. Later on, with the addition of some quantum mechanical correction, the liquid drop model improved significantly and is currently known as the semi-empirical mass formula [2] .
The purpose of this work is to see if the binding energy of the nuclides could be predicted using Yukawa-type models with a discreet distribution of nucleons without using quantum mechanical corrections.
In this work, a Yukawa-type potential is developed to predict B for the current nuclides using a set of 23 nuclides as the source of the experimental values. The discrepancy between measurement and prediction is remarkably reduced by a special search on the average distance among nucleons. Up to this moment, the best results were obtained for a 2-exponential model.
2. Average Nuclear Binding Energy
The electrostatic potential of an assembly of n point charges can be written as [5]
where,
: Coulomb constant;
: Point charge;
: Distance between the charges.
The 1/2 factor in that equation is used to avoid double counting (i.e.,
and
appear both in the sums, therefore double counting the number of terms). Total number of terms:
. Note that one isolated charge can be moved without any electrical inertia.
The electrostatic potential energy of the nucleus assuming point charge protons and using an average distance between any 2 protons, can then be expressed as
(1)
where,
: Proton positive charge;
: Atomic number (Number of protons in the nucleus);
: Average distance among protons in the nucleus.
Note that Equation (1) tacitly assumes that the protons are at a fixed location (or slightly moving around an equilibrium point) inside the nucleus.
Using a similar approach to obtain Equation (1), the nucleo-static potential energy (using a Yukawa-type potential to consider the short range of the nuclear force and assuming the same mass for the protons and neutrons), can be written as
(2)
where,
: Nuclear force constant;
: Nucleon mass;
: Average distance among nucleons in the nucleus;
: Number of nucleons in the nucleus.
The binding energy (B) that keeps the nucleons together forming the atomic nucleus can be written as
(3)
where,
: Mass of the hydrogen atom;
: Number of neutrons inside the nucleus;
: Neutron mass;
: Mass of the neutral atom;
: Speed of light in vacuum.
Equation (3) provides a big set of experimental values of B because M has been measured for up to Z = 118 and A = 294.
An expression for the prediction of B can be obtained from first principles, by adding Equation (1) and (2):
(4)
The sign of the electric potential energy was taken negative to express the repulsive character of the electric force. Because of the lack of knowledge of the location of the protons and neutrons inside the nucleus, it will be assumed that
. Note that unlike here, the liquid drop model assumes
, where R, is the nuclear radius.
The binding energy per nucleon (Average B) is usually used to better illustrate the stability of the nucleus. So from Equation (4):
(5)
The unknowns in Equation (5) are
,
and
.
3. Computational Results and Analysis
As a first approximation, R is considered known,
.
The Least Square equation is used to obtain
and
:
(6)
where,
(From Equation (3) and (5)) (7)
(From Equation (5)) (8)
: Fitting parameters.
Table 1 shows
calculation for a set of 23 nuclides. The relative errors are between 1 and 11% (except for H2 and He4) and do not show a clear trend. The fitted parameters (FPs) are:
(Mev-fm) and
(fm−1) which corresponds to
fm. Some statistical parameters (SP) are:
,
,
(Coefficient of Determination)
Even though
is close to 1, Q and D are still large (note the significant contribution of H2, He4 and Bk).
In order to improve D and therefore Q another exponential term was added making
(9)
The FPs are:
,
and
,
which corresponds to
, and
. The SPs are: Q = 10.6, D = 7.4, and
. Even though the SPs were significantly improved, Table 1 shows that for light nuclides (H2, H3, He3, He4, and Li7) the deviations from experimental results are still large or larger. For A > 7 however the deviation decreased significantly (except for F19 and Ne23).
A third exponential term was briefly tried but no convergence was achieved.
Currently it is believed that when the nucleons are very close together a repulsion force arises, to consider that, the following equation was used:
(10)
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Table 1. Binding energy fitting for 3 exponential models.
*Coulomb discrete repulsion; **Coulomb homogeneous repulsion.
The FPs are:
and
(
). The SPs are: Q = 14.1, D = 11.3, and
. From Table 1, it can be seen that Equation (10) does not significantly improve the results for light elements and get larger deviations for heavier nuclides. A 2nd exponential term was briefly tried but no convergence was achieved.
The Gauss-Newton method combined with the Levenverg-Marquardt method (GN-LM) was used to solve Equation (6).
Numerical derivatives were used in the gradient and Hessian calculations.
A Brute Force (BF) method that does not use derivatives was set up, in some cases, to obtain the initial values of the fitting parameters in the following way:
Step 1: Make an initial guess of the range where the value of each FP is
Step 2: Vary each FP (one at a time) from the smallest FP to the largest FP and determine the FP that yields the minimum
.
Step 3: Repeat step 2 until convergence is considered achieved.
Table 1 also shows the results for a Liquid Drop Model without quantum mechanical corrections (LDMu). The equation for that model is:
(11)
,
,
,
All coefficients and functions were taken from Ref. [2] .
The electric component in Equation (11) includes the
term which becomes important for light nuclides. Equation (11) assumes that the electrical and the nuclear “charge” are continuously and homogeneously distributed inside the nucleus unlike in this work where a discreet distribution of nucleons is used. Note in Table 1 that the LDMu yields results significantly larger than the model described by Equation (9) (except for He4)
It is believed that the lack of a precise knowledge of the distribution of the nucleons insides the nucleus is responsible for the significant deviations (shown in Table 1) of the calculated binding energies from the experimental values. That’s why a double optimization of
was attempted using the following algorithm:
Step 1: Set an initial set of values of R (
).
Step 2: For each nuclide i, make a
search that makes
.
Note that for each of the 23 nuclides a
search is made which involves as many Q computations as needed to achieve
. Once a search of R for a nuclide is made, R is not changed when making the search for the next nuclide.
The Newton-Raphlson method was used in this search (e.g.
)
Numerical derivatives were used in the R calculation. For some reason the GN-LM method did not converge, the BF however converged.
Table 2 shows the results for the R search.
The one-exponential model yields a relative deviation of 0.7% or less (the search did not converged for A > 55). The obtained FPs are:
and
which differ from the non-optimized R results only on the 3rd and 4th mantissa digits respectively. The SPs at the A = 55 search are: Q = 2.2, D = 3.7, and
. It is remarkable that even though the FPs practically did not change, the SPs improve significantly just because of the R search.
The R search for the two-exponential model converged for all nuclides and yielded a relative deviation of 0.1% or less. The FPs are:
Mev-fm,
Mev-fm and
(
fm),
(
fm).
The SPs are: Q = 4.99E−4, D = 7.83E−2, and
. It is quite remarkable the huge improvement in SPs while the FPs are about the same.
The one-exponential-log model did not converged for the few attempts made.
Yukawa obtained an equation for the mass of the particle mediating the force between the proton and the neutron, using that equation regardless of the type of interaction, it is obtained:
,
Value of
has been referenced as a measured result in [6] . Values of
have been determined and referenced in Ref. [6] :
Mev-fm.
![]()
Table 2. Binding energy fitting combined with R search.
Table 3 shows the results of the binding energy calculation for the 2-exponential model with the electrostatics term incorporated. So the references now are the results from Equation (3) as usual and the model is Equation (9) plus the electrostatic repulsion term. Note in that table that He4 has a minimum on R and a local maximum on
as happens in the measured binding energy (
) definition Figure 1 shows
vs. A. Note the local maximum of He4 that looks like an outlier but experimental results keep confirming this behavior of He4. Figure 2 shows the profile R vs. A.
![]()
Table 3. Binding energy fitting and R search with the repulsion term as part of the model. Here on the reference is the usual measured value.
![]()
Figure 1. Calculated binding energy per nucleon (Mev) vs. the atomic mass number (A). The deviations from the measured values are very small due to the R search.
![]()
Figure 2. Average distance among nucleons (fm) vs. Atomic mass number (A).
In order to predict the binding energy of nuclides that were not used in Table 3, an equation for the average separation between nucleons (R) is needed. A two independent-variable spline interpolation scheme could be used to interpolate and extrapolate R with a potential for high precision. An algorithm for that interpolation scheme is not ready yet.
A fitting to the values of R from Table 3 was performed for A > 4 (no equation that accurately describes R for all nuclides has been found yet) using the following equation:
(12)
The FPs are: p1 = 1.142888, p2 = 0.366691, p3 = −0.224360, and p4 = 0.512880. The SPs are Q = 4.3E−3, D = 0.22, and
. Note that the sign of p3 is negative this could indicate that the 1st term over predicts the optimized value of R.
Table 4 shows the results of the R fitting, which does not reproduce exactly the R of Table 3 as expected in the case of an interpolation, but the relative error is less than 1.6%. That table also shows
(measured) and
.
Note that the relative deviations between
and
appear to be an amplification by a factor of about 2 or greater of the R relative deviation. That indicates the importance of using an accurate value of R.
![]()
Table 4. r fit to the R searched of Table 3.
for the 2-Exp model using the fitted r.
Table 4 also shows the results of the binding energy calculation for the LDMc with the usual corrections from Quantum Mechanics [2] :
(13)
,
,
,
,
,
for the nuclides of Table 4.
Note in Table 4 that for A < 105 the LDMc does not perform as well as the 2 exponential-model.
All nuclear data (e.g. Atomic mass) used to calculate
were taken from Ref. [2] .
Table 5 shows the results of
and
for some nuclides inside the range of Z and A used to do the R-fitting. Note that for Ca, for A < 37, the 2 exponential model out performs the LDMc; however, for A = 37 - 39, the LDMc performs better. The reason for these unexpected results has not yet been determined. The results of the LDMu show the need for some kind of correction for many nuclides.
Note that Table 5 includes some nuclides with the so called magic numbers in Z and N. It is curious that for Ca 40 (double magic number), the 2-exponential model and the LDMc yield relative error of just 1.7 % and that the LDMu is even better (1.1%).
All nuclear data (e.g.
) used to calculate
were taken from Ref. [7] .
Table 6 shows the results of
and
for some nuclides outside the range of Z and A used to do the R-fitting.
The 2 exponential model in general shows better agreement with the measured values than what the LDMc does (except for A = 249). The LDMu however, shows a poor performance when compared to the other 2 methods.
All nuclear data (e.g. B) used to calculate
were taken from Ref. [7] and Ref. [8] .
Considering the good accuracy of the R-optimized 2-exponential model, it is of interest to know if the reason for that good performance is just due the use of a good statistical model or there is a physic base for that model.
The R optimization has a physical explanation considering that R is not the radius of the nucleus but an average distance between nucleons.
A potential reason for the success of the two exponential terms is addressed next.
An equation for the binding energy of the attraction among the nucleons similar to the electrostatic case is written as:
Carrying out the algebra, making
(nucleon dependent interaction) and taking an average
, the following is obtained:
(14)
Equation (14) shows the potential existence of up to 3 terms that could describe the interaction among nucleons.
The reviewer suggested adding Ref. [9] to the bibliography section. Two nuclides were identified common to the calculation shown in Table 5 of this work: O16 and Ca40. For O16 Ref. [9] yields a deviation from measurement ~0.2 Mev, this work yields 0.4 Mev. For Ca40 Ref. [9] yields a deviation of 0.3 Mev, this work yields 0.1 Mev. Note that this work has the potential to reduce the deviations even further if 2 independent variable-spline interpolations are used to obtain the distance among nucleons.
![]()
Table 5. Calculation
for some nuclides inside the range of Z and A used to do the R fitting.
![]()
Table 6. Calculation
for some nuclides outside the range of Z and A used to do the R fitting.
4. Summary and Conclusions
A Yukawa-type potential was developed to predict B for the current nuclides using a set of 23 nuclides as the source of the experimental values. The deviation between measurement and prediction is remarkably reduced by a special search on the average distance between nucleons. The best results were obtained for a 2-exponential model. The predictions of B inside and outside the range of A and Z used to do the fitting were carried out by fitting the obtained values of the average distance among nucleons to 2 terms power law that depends on A and Z.
It should be worthy to implement a 2 dimensional-independent variable spline interpolation with proper boundary conditions at the end of the range of A and Z of the experimental set.
It could be worthy also to make more attempts to use 1 and 3-exponential models to find out if better results can be obtained that proof (disproof) the physical existence of the terms of Equation (14), even its super generalization by allowing
to be dependent on the type of nucleon-nucleon interaction.
As long as the value(s) of
and
are not consistent with the results for H2, H3, He3, and He4, the matter cannot be considered settled even if perfect verification of B is achieved, because the noted nuclides cover all the nucleon-nucleon interaction in a unique way.