1993
DOI: 10.1007/bf01282895
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Gaussian polynomial method for spin-dependent level density and new formula for spin distribution

Abstract: Abstract. Large-scale combinatorial calculations of level densities were performed for selected nuclei using Gaussian polynomial generating function method (GPM). Contrary to the results of previous combinatorial calculations, we find a good agreement of the combinatorial total level densities and Bethe formula. Combinatorial GPM calculations were performed also for spin-dependent level densities and comparison is made with various algebraic formulas. On the basis of our GPM calculations we propose a new pheno… Show more

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Cited by 19 publications
(6 citation statements)
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References 91 publications
(150 reference statements)
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“…[52] suggesting η = 0.75 for 51 V, a lot of successful model calculations with η = 0.5 in the medium mass region, and our conclusion of η = 0.25 for heavy nuclei, all agree quite well with the data calculated from Eq. (11) [η(51) = 0.63, η(100) = 0.50, η(197) = 0.30]. Since energy dependence for η has not been observed, the results of the low-energy analysis can be extended to higher excitation energies, and we can postulate that η has a mass dependence even up to mass number 197.…”
Section: Discussionmentioning
confidence: 97%
See 1 more Smart Citation
“…[52] suggesting η = 0.75 for 51 V, a lot of successful model calculations with η = 0.5 in the medium mass region, and our conclusion of η = 0.25 for heavy nuclei, all agree quite well with the data calculated from Eq. (11) [η(51) = 0.63, η(100) = 0.50, η(197) = 0.30]. Since energy dependence for η has not been observed, the results of the low-energy analysis can be extended to higher excitation energies, and we can postulate that η has a mass dependence even up to mass number 197.…”
Section: Discussionmentioning
confidence: 97%
“…Recent theoretical studies are based on the microscopic statistical model [9,10], which is beginnig to approach the quality of the semiempirical models, but its results are available only in the form of numerical data. Theoretical studies have shown that the spin dependence of the level density can deviate from the simple formula given above at a high spin [11]. Studies of the spin distribution are interesting both from the theoretical [12] and experimental points of view.…”
Section: Introductionmentioning
confidence: 96%
“…Bethe approximated p(M ) with a Gaussian distribution (using the Central Limit Theorem) and assuming classical statistics for the particles constituting the nucleus [4]. This was a major drawback of his approach, as the constituent particles of a nucleus are really fermions, and thus the Bethe approximation can be used only for small values of the total angular momentum of the nucleus [18]. An improvement of this approximation uses the Edgeworth expansion (see e.g.…”
Section: Physical Applicationsmentioning
confidence: 99%
“…To approximate the distribution of M | N = N analytically, we calculate its mean, variance and kurtosis, and then use the fourth-order approximation (18). The calculation of the above moments is done recursively.…”
Section: B Quantum Particlesmentioning
confidence: 99%
“…Recent theoretical studies are based on microscopic statistical model [14,15] which is beginning to approach the quality of the semi-empirical models, but its results are available only in the form of numerical data. Theoretical studies have shown that for high spin values the spin dependence of the level density can deviate from the simple formula given above [16]. Studies on the spin distribution are interesting both from the theoretical [17] and experimental points of view.…”
Section: Introductionmentioning
confidence: 97%