Solving the many body pairing problem through Monte Carlo methods

Physics – Condensed Matter – Superconductivity

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Nuclear superconductivity is a central part of quantum many-body dynamics. In mesoscopic systems such as atomic nuclei, this phenomenon is influenced by shell effects, mean-field deformation, particle decay, and by other collective and chaotic components of nucleon motion. The ability to find an exact solution to these pairing correlations is of particular importance. In this presentation we develop and investigate the effectiveness of different methods of attacking the nucleon pairing problem in nuclei. In particular, we concentrate on the Monte Carlo approach. We review the configuration space Monte Carlo techniques, the Suzuki-Trotter breakup of the time evolution operator, and treatment of the pairing problem with non-constant matrix elements. The quasi-spin symmetry allows for a mapping of the pairing problem onto a problem of interacting spins which in turn can be solved using a Monte Carlo approach. The algorithms are investigated for convergence to the true ground state of model systems and calculated ground state energies are compared to those found by an exact diagonalization method. The possibility to include other non-pairing interaction components of the Hamiltonian is also investigated.

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

Solving the many body pairing problem through Monte Carlo methods 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 Solving the many body pairing problem through Monte Carlo methods, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Solving the many body pairing problem through Monte Carlo methods will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1370485

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