2006
DOI: 10.1103/physrevc.73.024613
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Nuclear multifragmentation within the framework of different statistical ensembles

Abstract: 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 … Show more

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Cited by 22 publications
(31 citation statements)
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“…The fragment energies E A,Z have contributions from the translational motion, as well as from the nuclear bulk, surface, asymmetry, and Coulomb energies [8]. The latter, is calculated through the Wigner-Seitz approximation [41,46].…”
Section: Inclusion Into the Statistical Multifragmentation Modelmentioning
confidence: 99%
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“…The fragment energies E A,Z have contributions from the translational motion, as well as from the nuclear bulk, surface, asymmetry, and Coulomb energies [8]. The latter, is calculated through the Wigner-Seitz approximation [41,46].…”
Section: Inclusion Into the Statistical Multifragmentation Modelmentioning
confidence: 99%
“…For instance, there has been intensive debate on whether negative heat capacities should be observed in nuclear systems [1,2,3,4,5,6,7,8], not to mention the fundamental question of whether there are any clear signatures of a liquid-gas phase transition in nuclear multifragmentation [9,10,11,12,13]. Experimental studies have proven to be essential in providing insight into the main properties of the phenomenon (see [14] and references therein).…”
Section: Introductionmentioning
confidence: 99%
“…where F f (T, V bk ) is the Helmholtz free energy associated with the fragmentation mode [25]. For each event, the fragments' momenta are assigned according to the Metropolis simulation method.…”
Section: The Modelsmentioning
confidence: 99%
“…Our Monte-Carlo simulation uses the canonical implementation of SMM [24,25] to generate the M fragments, whose multiplicity and composition of species vary for each fragmentation mode f . The statistical weight of the latter is given by:…”
Section: The Modelsmentioning
confidence: 99%
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