Nuclear multifragmentation within the framework of different statistical ensembles

Physics – Nuclear Physics – Nuclear Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

20 pages, 7 figures

Scientific paper

10.1103/PhysRevC.73.024613

The sensitivity of the Statistical Multifragmentation Model to the underlying statistical assumptions is investigated. We concentrate on its micro-canonical, canonical, and isobaric formulations. As far as average values are concerned, our results reveal that all the ensembles make very similar predictions, as long as the relevant macroscopic variables (such as temperature, excitation energy and breakup volume) are the same in all statistical ensembles. It also turns out that the multiplicity dependence of the breakup volume in the micro-canonical version of the model mimics a system at (approximately) constant pressure, at least in the plateau region of the caloric curve. However, in contrast to average values, our results suggest that the distributions of physical observables are quite sensitive to the statistical assumptions. This finding may help deciding which hypothesis corresponds to the best picture for the freeze-out stage

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

Nuclear multifragmentation within the framework of different statistical ensembles 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 Nuclear multifragmentation within the framework of different statistical ensembles, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Nuclear multifragmentation within the framework of different statistical ensembles will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-112488

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