1991
DOI: 10.1007/bf01288195
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Fluctuation properties of spacings of low-lying nuclear levels

Abstract: Fluctuation properties have been analyzed for a large collection of low-lying nuclear energy levels, with emphasis on the nearest-neighbor spacing distributions. The levels are combined in several ways to search for effects due to mass, spin, and shape. A strong mass dependence appears to be present, and there are suggestions of effects due to spin and deformation.

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Cited by 90 publications
(132 citation statements)
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“…Thus the similarities with GOE are certainly limited. The result ω = 0.68 ± 0.02 is similar to the value ω = 0.72 ± 0.16 for nuclei with A < 50 [10]. Therefore we may wonder whether it represents more or less a practical limit of possible chaos in nuclear bound states.…”
Section: B Short-range Level Fluctuations In 208 Pbsupporting
confidence: 62%
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“…Thus the similarities with GOE are certainly limited. The result ω = 0.68 ± 0.02 is similar to the value ω = 0.72 ± 0.16 for nuclei with A < 50 [10]. Therefore we may wonder whether it represents more or less a practical limit of possible chaos in nuclear bound states.…”
Section: B Short-range Level Fluctuations In 208 Pbsupporting
confidence: 62%
“…This step, called unfolding, is delicate and of utmost importance, because some of the unfolding procedures used in the literature can lead to completely wrong results on the behavior of level fluctuations [11]. In this work we have used the constant temperature formula [10],…”
Section: B Short-range Level Fluctuations In 208 Pbmentioning
confidence: 99%
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“…However, in the region closer to the ground state the situation is still unclear because of the experimental difficulty in obtaining complete sequences of levels. Even if data coming from different nuclei are properly studied, the results are less than conclusive [3][4][5]. More work is needed to completely understand the statistical properties of low-energy nuclear spectra.…”
Section: Introductionmentioning
confidence: 99%
“…Instead, a statistical description, called Statistical Nuclear Spectroscopy (SNS), is used, based on the division into global and local nuclear properties [9][10][11][12][13][14][15][16][17]. A typical example of this is the separation of the level density into a global component, the secular variation, and a local component, the fluctuations, which are well described by the random matrix ensembles [18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%