Binding energies and modelling of nuclei in semiclassical simulations

Physics – Nuclear Physics – Nuclear Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

10 pages, 5 figures. Manuscript final version. Accepted for publication in Physics Letters B

Scientific paper

10.1016/j.physletb.2008.01.041

We study the binding energies of spin-isospin saturated nuclei with nucleon number $8 \le A \le 100$ in semiclassical Monte Carlo many-body simulations. The model Hamiltonian consists of, (i) nucleon kinetic energy, (ii) a nucleon-nucleon interaction potential, and (iii) an effective Pauli potential which depends on density. The basic ingredients of the nucleon-nucleon potential are, a short-range repulsion, and a medium-range attraction. Our results demonstrate that one can always expect to obtain the empirical binding energies for a set of nuclei by introducing a proper density dependent Pauli potential. The present work suggests a simple, pragmatic procedure for modelling a set of nuclei calibrated by the empirical binding energies for a given NN interaction potential. Then, each set of modelled nuclei can be tested by studying other properties of nuclei in semiclassical simulations.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Binding energies and modelling of nuclei in semiclassical simulations does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Binding energies and modelling of nuclei in semiclassical simulations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Binding energies and modelling of nuclei in semiclassical simulations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-60247

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.