Influence of pre-saddle neutrons on the fission fragment angular distribution

Fröbrich, P.; Rossner, H.

doi:10.1007/bf01291165

Cited by 18 publications

(9 citation statements)

References 12 publications

(23 reference statements)

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“…Different fission characteristics of the heavy compound nuclei 224 Th and 248 Cf produced, respectively, in the reactions 16 O + 208 Pb and 16 O + 232 Th have been intensively investigated experimentally [63][64][65][66][67][68][69][70][71][72][73][74][75][76] and theoretically [20,23,24,44,71,83]. The results of 3D Langevin calculations [23,24,44] demonstrated that a simultaneous reproduction of the width 064619-6 of fission fragment mass distribution and mean prescission neutron multiplicity for heavy fissioning nuclei is difficult.…”

Section: Cross Sections Parameters Of the Fission Fragment Med And mentioning

confidence: 99%

Four-dimensional Langevin dynamics of heavy-ion-induced fission

et al. 2012

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A four-dimensional dynamical model based on Langevin equations was developed and applied to calculate a wide set of experimental observables for the reactions 16 O + 208 Pb → 224 Th and 16 O + 232 Th → 248 Cf over a wide range of excitation energy. The fusion-fission and evaporation residue cross sections, fission fragment mass-energy distribution parameters, prescission neutron multiplicities, and anisotropy of angular distribution of fission fragments could be reasonably reproduced using a modified one-body mechanism for nuclear friction with a reduction coefficient of the contribution from a wall formula k s 0.25 and a dissipation coefficient for the orientation degree of freedom (K coordinate) γ K 0.077 (MeV zs) −1/2 . Inclusion of the K coordinate into calculation of potential energy changes the stiffness of the nucleus with respect to mass asymmetry coordinate for the values of K = 0 and results in a shift of the Businaro-Gallone point towards larger Z 2 /A values. The experimental data on the fission fragment mass-energy distribution parameters together with mean prescission neutron multiplicity for heavy fissioning nuclei are reproduced through the four-dimensional Langevin calculations more accurately than through three-dimensional calculations.

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Section: Cross Sections Parameters Of the Fission Fragment Med And mentioning

confidence: 99%

Four-dimensional Langevin dynamics of heavy-ion-induced fission

et al. 2012

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“…The one-dimensional Langevin equations was applied to explore the main features of angular distribution [66,67]. Recently Jia and Bao [30] published the results of the angular distribution calculations within two-dimensional Langevin dynamics.…”

Section: The Effect Of Model Dimension On the Angular Distributionmentioning

confidence: 99%

Application of a temperature-dependent liquid-drop model to dynamical Langevin calculations of fission-fragment distributions of excited nuclei

et al. 2008

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A stochastic approach to fission dynamics based on three-dimensional Langevin equations was applied to calculation of the mass-energy and angular distributions of fission fragments. The dependence of the mass-energy distribution parameters on the angular momentum and the anisotropy of the fission-fragment angular distribution on excitation energy have been studied in a wide range of the fissility parameter. A temperature-dependent finite-range liquid-drop model was used in a consistent way to calculate the functional of the Helmholtz free energy and level-density parameter. The modified one-body mechanism of nuclear dissipation (the so-called surface-plus-window dissipation) was used to determine the dissipative forces in Langevin equations. The evaporation of light prescission particles was taken into account on the basis of a statistical model combined with Langevin dynamics. The calculated parameters of the mass-energy distribution and their angular dependencies are in good quantitative agreement with the available experimental data at the value of the reduction coefficient of the contribution from the wall formula equal to 0.25. Analysis of the anisotropy of the fission-fragment angular distribution performed with the saddle-point transition state model and scission-point transition state model indicates that it is necessary to take into account the dynamical aspects of the fission-fragment angular distribution formation.

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“…The one-dimensional Langevin equations was applied to explore the main features of angular distribution [204,205]. In 2007 Jia and Bao [206] have published the results of the angular distribution calculations within twodimensional Langevin dynamics.…”

Section: The Effect Of Model Dimension On the Angular Distributionmentioning

confidence: 99%

Fission fragment distributions within dynamical approach

et al. 2017

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The review covers recent developments and achievements in the dynamical description of fission process at high excitation energy. It is shown that the dynamical approach based on multidimensional Langevin equations combined with the statistical description of nuclear decay by particles evaporation is capable of fairly well describing the formation of fission fragment mass-energy, charge, and angular distributions of fission fragments in coincidence with the pre-and post-scission particle emission. The final yields of fission and evaporation residues channels products could be obtained. The detailed description of fission dynamics allows studying different stages of fission process, indicating the most important ingredients governing fission process and studying in detail such fundamental nuclear properties as nuclear viscosity and fission timescale. The tasks and perspectives of multidimensional dynamical approach are also discussed.

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Influence of pre-saddle neutrons on the fission fragment angular distribution

Cited by 18 publications

References 12 publications

Four-dimensional Langevin dynamics of heavy-ion-induced fission

Four-dimensional Langevin dynamics of heavy-ion-induced fission

Application of a temperature-dependent liquid-drop model to dynamical Langevin calculations of fission-fragment distributions of excited nuclei

Fission fragment distributions within dynamical approach

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