Statistical description of nuclear break-up

Abstract

We present an overview of concepts and results obtained with statistical models in study of nuclear multifragmentation. Conceptual differences between statistical and dynamical approaches, and selection of experimental observables for identification of these processes, are outlined. New and perspective developments, like inclusion of in-medium modifications of the properties of hot primary fragments, are discussed. We list important applications of statistical multifragmentation in other fields of research.

a short review for the WCI Report, 14 pages

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Cited by in corpus (18)

• Production of hypernuclei in multifragmentation of nuclear spectator matter
• Tracing the evolution of the symmetry energy of hot nuclear fragments from the compound nucleus towards multifragmentation
• Nuclear fragmentation reactions in extended media studied with Geant4 toolkit
• Thermal and Chemical Freeze-out in Spectator Fragmentation
• Isospin dependent thermodynamics of fragmentation
• Relevance of equilibrium in multifragmentation
• Isoscaling in central Sn+Sn collisions at 270 MeV/u
• Asymmetry of velocity distributions in peripheral collisions at Fermi energies
• A comparative study of model ingredients: fragmentation in heavy-ion collisions using quantum molecular dynamics model
• Multifragmentation model for the production of astrophysical strangelets
• Isospin compositions of correlated sources in the Fermi energy domain
• Mass distributions for nuclear disintegration from fission to evaporation
• Source shape determination with directional fragment-fragment velocity correlations
• Recoil Products from p+${}^{118}Sn$ and d+${}^{118}Sn$ at 3.65 GeV/A
• A New Model of Intranuclear Neutron-Antineutron Transformations in ${}_8^{16}$O
• Post breakup dynamics of fragments produced in nuclear multifragmentation
• Isobar correlations bearing information on the properties of hot disassembling nuclear sources
• Common Approaches in Description of Ordinary Liquids and Hadronic Matter