Clustering recognition model for intermediate energy heavy ion reactions
- Chemistry Department, University of Maryland, College Park, Maryland 20742 (United States)
A clustering model which allows the recognition of mass fragments from dynamical simulations has been developed. Studying the evolution of a microscopic computation based on the nuclear Boltzman equation, a suitable time is chosen to define bound clusters. At this stopping time the cluster cores for each member of the distribution are defined as a function of the overall density. Then an iterative routine is applied to estimate the coalescence of the surrounding nucleons. Once the fragment formation has been established, a statistical decay code is used to generate the final fragment distributions. Applications are shown to the reactions {sup 129}Xe + {sup nat}Cu at 50 MeV/nucleon and {sup 139}La on {sup 27}Al and {sup nat}Cu at 45 MeV/nucleon. A general improvement in cluster identification is found over approaches where a standard cluster separation algorithm has been used. {copyright} {ital 1996 The American Physical Society.}
- DOE Contract Number:
- FG02-93ER40802; FG05-87ER40321
- OSTI ID:
- 286200
- Journal Information:
- Physical Review, C, Vol. 54, Issue 1; Other Information: PBD: Jul 1996
- Country of Publication:
- United States
- Language:
- English
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