نتایج جستجو برای: statistical model nuclear
تعداد نتایج: 2577852 فیلتر نتایج به سال:
We use quantum Monte Carlo methods in the framework of the interacting nuclear shell model to calculate the statistical properties of nuclei at finite temperature and/or excitation energies. With this approach we can carry out realistic calculations in much larger configuration spaces than are possible by conventional methods. A major application of the methods has been the microscopic calculat...
The phenomenon of heavy-ion collision induced nuclear multifragmentation (NMF) has been extensively studied over the past decade. Experimentally it is found that nuclei with excitation energies of E/A = 5-10 MeV, i.e. in the region of the binding energy, expand forming a number of intermediate mass fragments [1]. Using subtle and advanced experimental techniques from a number of collision exper...
An interesting aspect of nuclear dynamics is the co–existence, in atomic nuclei, of regular and chaotic states [1]. This is a vast subject and, for reasons of space, in this paper we limit ourselves to a few examples only. In order to highlight the difference between the regular and chaotic states, it is perhaps useful to remember that the low energy states (0 ∼ 4 MeV above the ground state), t...
On the basis of morphological thermodynamics we develop an exactly solvable version statistical mutifragmentation model for nuclear liquid-gas phase transition. It is shown that hard-core repulsion between spherical nuclei generates only bulk (volume), surface and curvature parts free energy nucleus, while Gaussian one does not appear in derivation. The diagram transition studied a truncated de...
over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...
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