Quantum Statistical Model of Nuclear Multifragmentation in the Canonical Ensemble Method

Physics – Nuclear Physics – Nuclear Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

38 pages, 11 figures

Scientific paper

10.1016/S0375-9474(00)00203-7

A quantum statistical model of nuclear multifragmentation is proposed. The recurrence equation method used within the canonical ensemble makes the model solvable and transparent to physical assumptions and allows to get results without involving the Monte Carlo technique. The model exhibits the first order phase transition. Quantum statistics effects are clearly seen on the microscopic level of occupation numbers but are almost washed out for global thermodynamic variables and the averaged observables studied. In the latter case, the recurrence relations for multiplicity distributions of both intermediate-mass and all fragments are derived and the specific changes in the shape of multiplicity distributions in the narrow region of the transition temperature is stressed. The temperature domain favorable to search for the HBT effect is noted.

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

Quantum Statistical Model of Nuclear Multifragmentation in the Canonical Ensemble Method 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 Quantum Statistical Model of Nuclear Multifragmentation in the Canonical Ensemble Method, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Quantum Statistical Model of Nuclear Multifragmentation in the Canonical Ensemble Method will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-363834

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