In order to calculate SPEs, our strategy is as follows: first, we obtain the density- and momentum-dependent diagonal matrix elements of the nucleon-nucleon effective interactions, [H.sub.eff] (12), by using the LOCV calculations for SNM with [Av.sub.18] ([J.sub.max] = 2) potential.
Regarding the LOCV method, the two-body effective interaction has the following form :
In this work, n(k), generated by using the LOCV calculations for SNM with [Av.sub.18] ([J.sub.max] = 2) potential based on the Ristig-Clark formalism , are density-dependent .
where [C.sub.nl] is a normalization coefficient for each natural orbit and [M.sup.*] (R), the effective mass of nucleon, is calculated at the Fermi surface by the LOCV method with considering [Av.sub.18] ([J.sub.max] = 2) potential .
Table 4 shows the calculated SPLs of [sup.16]O, [sup.40]Ca, and [sup.56]Ni at the corresponding [[gamma].sub.min], obtained by the HF inspired scheme and the LOCV calculations for SNM with [Av.sub.18] ([J.sub.max] = 2) by including n(k, [rho]) and the Heaviside functions, identified by (i) and (ii), respectively, besides the experimental data.
In this work, we have investigated the issue for the selected closed shell nuclei, that is, [sup.16]O, [sup.40]Ca, and [sup.56]Ni, by replacing n(k, [rho]), generated by the LOCV calculations for SNM with [Av.sub.18] ([J.sub.max] = 2), with Heaviside functions.
As can be seen, at low irradiance the LOCV method clearly outperforms the FOCV method.
Again, better linear fits were obtained with the LOCV method (not shown).
The performance for both [r.sub.s] = 0.01 and [r.sub.p] = 100 was almost identical to that shown in Figure 2 (for [T.sub.a]= 25 [degrees]C), with the LOCV method outperforming the FOCV method.
Due to the low relative value of [r.sub.p] (lowest limit) the regression line of the LOCV method cannot fit the data corresponding to the low irradiance levels as well as that in Figure 3.
The LOCV method was tested with a 500 mW ([I.sub.SC] = 160 mA, [V.sub.OC] = 4.6 V) PV panel (MSX-005, Solarex) and compared with the FOCV method.