SUPARB Model For Calculation Of Nuclear Level Densities

Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Level Density, Nuclear Structure Models And Methods

Scientific paper

Nuclear level densities are important in nuclear physics for a number of reasons. They are required in the designing of fission and fusion reactors, they have medical as well as astrophysical applications. Of the many important consequences of level densities in astrophysics, I am mainly concerned here with the nucleosynthesis problem. Nucleosynthesis calculations require nuclear level densities for hundreds or even thousands of nuclides. Ideally one would like to constrain these level densities by microscopically motivated yet computationally cheap models. A statistical approach suggests that low moments of the Hamiltonian might be sufficient. Recently Zuker proposed a simple combinatoric formula for level densities based upon the binomial distribution. In this paper I rigorously test the binomial formula against full scale shell-model diagonalization calculations for selected sd- and fp-shell nuclides and also against Monte Carlo path integration calculations.

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

SUPARB Model For Calculation Of Nuclear Level Densities 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 SUPARB Model For Calculation Of Nuclear Level Densities, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and SUPARB Model For Calculation Of Nuclear Level Densities will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1213198

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