Fragmentation paths in dynamical models

Journal Article · Mon Nov 15 04:00:00 EST 2010 · Physical Review. C, Nuclear Physics

DOI:https://doi.org/10.1103/PHYSREVC.82.054613· OSTI ID:21499190

Colonna, M; Rizzo, J ^[1]; Ono, A ^[2]

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1. Laboratori Nazionali del Sud-Istituto Nazionale Fisica Nucleare, I-95123 Catania (Italy)
2. Department of Physics, Tohoku University, Sendai 980-8578 (Japan)

We undertake a quantitative comparison of multifragmentation reactions, as modeled by two different approaches: the antisymmetrized molecular dynamics (AMD) and the momentum-dependent stochastic mean-field (SMF) model. Fragment observables and pre-equilibrium (nucleon and light cluster) emission are analyzed, in connection with the underlying compression-expansion dynamics in each model. Considering reactions between neutron-rich systems, observables related to the isotopic properties of emitted particles and fragments are also discussed, as a function of the parametrization employed for the isovector part of the nuclear interaction. We find that the reaction path, particularly the mechanism of fragmentation, is different in the two models and reflects on some properties of the reaction products, including their isospin content. This should be taken into account in the study of the density dependence of the symmetry energy from such collisions.

• OSTI ID: 21499190
• Journal Information: Physical Review. C, Nuclear Physics, Journal Name: Physical Review. C, Nuclear Physics Journal Issue: 5 Vol. 82; ISSN 0556-2813; ISSN PRVCAN
• Country of Publication: United States
• Language: English

Related Subjects

73 NUCLEAR PHYSICS AND RADIATION PHYSICS
BARYONS
CALCULATION METHODS
COLLISIONS
COMPARATIVE EVALUATIONS
COMPRESSION
DENSITY
ELEMENTARY PARTICLES
EMISSION
EQUILIBRIUM
EVALUATION
EXPANSION
FERMIONS
HADRONS
INTERACTIONS
ISOSPIN
ISOVECTORS
MEAN-FIELD THEORY
MOLECULAR DYNAMICS METHOD
NEUTRONS
NUCLEAR FRAGMENTATION
NUCLEAR REACTIONS
NUCLEONS
PARTICLE PROPERTIES
PARTICLES
PHYSICAL PROPERTIES
SIMULATION
STOCHASTIC PROCESSES
SYMMETRY
TENSORS
VECTORS