Study of different features of fission dynamics of
                    <sup>224</sup>
                    Th produced in fusion reactions within a stochastic approach

Eslamizadeh, H.

doi:10.1088/1674-1137/39/5/054102

Cited by 2 publications

(1 citation statement)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…During recent decades different dynamical and statistical models have been extensively and rather successfully used to elucidate many problems of fusion-fission reactions (see, for example Refs. [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]). Many researchers in their computational representations of different features of fusion-fission reactions have assumed that compound nuclei have zero spin about the symmetry axis.…”

Section: Introductionmentioning

confidence: 99%

Two-dimensional Langevin modeling of fission dynamics of the excited compound nuclei ¹⁸⁸ Pt, ²²⁷ Pa and ²⁵¹ Es

Eslamizadeh¹

2016

Chinese Phys. C

Self Cite

View full text Add to dashboard Cite

A stochastic approach based on one-and two-dimensional Langevin equations is applied to calculate the pre-scission neutron multiplicity, fission probability, anisotropy of fission fragment angular distribution, fission cross section and the evaporation cross section for the compound nuclei 188 Pt, 227 Pa and 251 Es in an intermediate range of excitation energies. The chaos weighted wall and window friction formula are used in the Langevin equations. The elongation parameter, c, is used as the first dimension and projection of the total spin of the compound nucleus onto the symmetry axis, K, considered as the second dimension in Langevin dynamical calculations. A constant dissipation coefficient of K, γK = 0.077(MeV zs) −1/2 , is used in two-dimensional calculations to reproduce the above mentioned experimental data. Comparison of the theoretical results of the pre-scission neutron multiplicity, fission probability, fission cross section and the evaporation cross section with the experimental data shows that the results of two-dimensional calculations are in better agreement with the experimental data. Furthermore, it is shown that the two-dimensional Langevin equations together with a dissipation coefficient of K, γK = 0.077(MeV zs) −1/2 , can satisfactorily reproduce the anisotropy of fission fragment angular distribution for the heavy compound nucleus 251 Es. However, a larger value of γK = 0.250(MeV zs) −1/2 is needed to reproduce the anisotropy of fission fragment angular distribution for the lighter compound nucleus 227 Pa.

show abstract

Section: Introductionmentioning

confidence: 99%

Two-dimensional Langevin modeling of fission dynamics of the excited compound nuclei ¹⁸⁸ Pt, ²²⁷ Pa and ²⁵¹ Es

Eslamizadeh¹

2016

Chinese Phys. C

Self Cite

View full text Add to dashboard Cite

show abstract

Study of the fission process of²⁰⁰Pb and¹⁹⁷Tl produced in fusion reactions with the modified statistical model and multidimensional dynamical model

Eslamizadeh¹

2015

J. Phys. G: Nucl. Part. Phys.

View full text Add to dashboard Cite

The fission probability, pre-scission neutron, proton and alpha multiplicities, anisotropy of fission fragment angular distribution and the fission time have been calculated for the compound nuclei 200Pb and 197Tl based on the modified statistical model and four-dimensional dynamical model. In dynamical calculations, dissipation was generated through the chaos weighted wall and window friction formula. The projection of the total spin of the compound nucleus to the symmetry axis, K, was considered as the fourth-dimension in Langevin dynamical calculations. In our dynamical calculations, we have used a constant dissipation coefficient of K, and a non-constant dissipation coefficient to reproduce the above-mentioned experimental data. Comparison of the theoretical results of the fission probability and pre-scission particle multiplicities with the experimental data showed that the difference between the results of both dynamical models is small whereas, for the anisotropy of fission fragment angular distribution, it is slightly large. Furthermore, comparison of the results of the modified statistical model with the above-mentioned experimental data showed that with choosing appropriate values of the temperature coefficient of the effective potential, and the scaling factor of the fission-barrier height, the experimental data were satisfactorily reproduced.

show abstract

Study of different features of fission dynamics of ²²⁴ Th produced in fusion reactions within a stochastic approach

Cited by 2 publications

References 45 publications

Two-dimensional Langevin modeling of fission dynamics of the excited compound nuclei ¹⁸⁸ Pt, ²²⁷ Pa and ²⁵¹ Es

Two-dimensional Langevin modeling of fission dynamics of the excited compound nuclei ¹⁸⁸ Pt, ²²⁷ Pa and ²⁵¹ Es

Study of the fission process of²⁰⁰Pb and¹⁹⁷Tl produced in fusion reactions with the modified statistical model and multidimensional dynamical model

Contact Info

Product

Resources

About

Study of different features of fission dynamics of 224 Th produced in fusion reactions within a stochastic approach

Cited by 2 publications

References 45 publications

Two-dimensional Langevin modeling of fission dynamics of the excited compound nuclei 188 Pt, 227 Pa and 251 Es

Two-dimensional Langevin modeling of fission dynamics of the excited compound nuclei 188 Pt, 227 Pa and 251 Es

Study of the fission process of200Pb and197Tl produced in fusion reactions with the modified statistical model and multidimensional dynamical model

Contact Info

Product

Resources

About

Study of different features of fission dynamics of ²²⁴ Th produced in fusion reactions within a stochastic approach

Two-dimensional Langevin modeling of fission dynamics of the excited compound nuclei ¹⁸⁸ Pt, ²²⁷ Pa and ²⁵¹ Es

Two-dimensional Langevin modeling of fission dynamics of the excited compound nuclei ¹⁸⁸ Pt, ²²⁷ Pa and ²⁵¹ Es

Study of the fission process of²⁰⁰Pb and¹⁹⁷Tl produced in fusion reactions with the modified statistical model and multidimensional dynamical model