Stopping of Slow Hydrogen Dicluster by Different Solid Materials

In this theoretical work, the subject of stopping power is investigated for slow hydrogen dicluster by using random phase approximation. The projectile is stopped by variance solids of different Wigner Seitz radiuses. The considered stopping power is related to the interaction between a low velocity dicluster  of zero damping interacts with (Au, C, Al, and Cs) targets mediums based on an electron gas model.The subject of an ionic dicluster stopping power has been calculated by using Random Phase Approximation (RPA) at low velocity for the first and second approximation order, where the influence of damping has been ignored. The obtained results of this study show detailed behavior of the ionic dicluster of its duality interaction with several electron density targets mediums of long range collision belongs to aggregation effect, their affected parameters as internuclear distance of dicluster, and its velocity are studied.The results have been achieved by using programs of Fortran-90 language which performed for the numerical calculation. DOI: 10.7176/APTA/82-05 Publication date: January 31st 202

Calculation of the nuclear properties of Erbium 98 166 68Er nucleus by using IBM-1 and VMI model

The aim of the present work is to study some nuclear features of Erbium ( 98 166 68 Er ) such as energy levels E(J), energy transition Eγ, band crossing, and back bending phenomena in the mass region(A=166,and total number of bosons N=15)of the dynamical symmetry SU(3)-O(6) using interacting boson model version-1(IBM-1) and a variable moment of inertia model(VMI) In this study, we determined the most appropriate Hamiltonian that is needed for the present calculations of deformed understudy nucleus; these calculations have been estimated by best-fitting to the measured energies level. The IBM-1 results have been compared with the previous experimental and theoretical (VMImodel) data and it was observed that they are agreed in the most of the states. The predictions from the VMI model are more accurate than those of the IBM-