A processing method of generating S(α, β, T) tables considering resonance elastic scattering kernel for the Monte Carlo codes

2020 ◽  
Vol 122 ◽  
pp. 103262
Author(s):  
Tiejun Zu ◽  
Jialong Xu ◽  
Liangzhi Cao
Keyword(s):  
Monte Carlo ◽  
Elastic Scattering ◽  
Processing Method ◽  
Scattering Kernel

Electron Scattering in Solids

1990 ◽  
Vol 48 (2) ◽  
pp. 4-5
Author(s):  
Ryuichi Shimizu ◽  
Ze-Jun Ding
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Angular Distribution ◽  
Elastic Scattering ◽  
Electron Scattering ◽  
Cross Sections ◽  
Expansion Method ◽  
Electron Excitation ◽  
Partial Wave Expansion ◽  
Backscattered Electrons

Monte Carlo simulation has been becoming most powerful tool to describe the electron scattering in solids, leading to more comprehensive understanding of the complicated mechanism of generation of various types of signals for microbeam analysis.The present paper proposes a practical model for the Monte Carlo simulation of scattering processes of a penetrating electron and the generation of the slow secondaries in solids. The model is based on the combined use of Gryzinski’s inner-shell electron excitation function and the dielectric function for taking into account the valence electron contribution in inelastic scattering processes, while the cross-sections derived by partial wave expansion method are used for describing elastic scattering processes. An improvement of the use of this elastic scattering cross-section can be seen in the success to describe the anisotropy of angular distribution of elastically backscattered electrons from Au in low energy region, shown in Fig.l. Fig.l(a) shows the elastic cross-sections of 600 eV electron for single Au-atom, clearly indicating that the angular distribution is no more smooth as expected from Rutherford scattering formula, but has the socalled lobes appearing at the large scattering angle.

scholarly journals Neutron Slowing Down with Inelastic Scattering

1978 ◽  
Vol 33 (12) ◽  
pp. 1452-1454
Author(s):  
S. A. El Wakil ◽  
H. M. Machali ◽  
E. A. Saad
Keyword(s):  
Excited State ◽  
Elastic Scattering ◽  
Difference Equation ◽  
Asymptotic Solution ◽  
Homogeneous Medium ◽  
Isotropic Scattering ◽  
Slowing Down ◽  
Differential Difference Equation ◽  
Collision Density ◽  
Scattering Kernel

Abstract The neutron slowing-down equation in an infinite homogeneous medium with isotropic scattering is solved. The slowing-down kernel is separated into an elastic and an inelastic part. The collision density is expressed in terms of Green’s function of the elastic scattering only. The Greuling- Goertzel (G-G) approximation is used for the elastic scattering kernel, while Volkin’s model is used for the inelastic one. A differential-difference equation for a one-level excited state is solved by Laplace transform. Discussion of the poles obtained in the Laplace inverse shows that there are forbidden zones in which there is no solution. Numerical calculations of the collision density in Fes6 at 922 and 865 kev levels are performed, which give the same behaviour as obtained by Corngold. The average slowing-down time calculated with our approach agrees with Williams’s result in the asymptotic solution.

Doppler broadening of neutron elastic scattering kernel in Tripoli-4®

2013 ◽  
Vol 54 ◽  
pp. 218-226 ◽  
Author(s):  
Andrea Zoia ◽  
Emeric Brun ◽  
Cédric Jouanne ◽  
Fausto Malvagi
Keyword(s):  
Elastic Scattering ◽  
Doppler Broadening ◽  
Scattering Kernel

MONTE CARLO CALCULATION OF THE ENERGY DISTRIBUTION OF BACKSCATTERED ELECTRONS

2002 ◽  
Vol 16 (28n29) ◽  
pp. 4405-4412 ◽  
Author(s):  
Z. J. DING ◽  
X. D. TANG ◽  
H. M. LI
Keyword(s):  
Monte Carlo ◽  
Elastic Scattering ◽  
Energy Distribution ◽  
Cross Section ◽  
Monte Carlo Calculation ◽  
Simulation Method ◽  
Elastic Peak ◽  
Secondary Electrons ◽  
Backscattered Electrons ◽  
Cylindrical Mirror

The full energy distribution of backscattered electrons from elastic peak down to true secondary electron peak has been calculated by a Monte-Carlo simulation method by including cascade secondary electrons production. The simulation method is based on the use of a dielectric function for describing electron inelastic scattering and secondary excitation, and the use of Mott cross section for electron elastic scattering. This calculation reproduces well the backscattering background observed in the direct mode of AES. The calculated absolute electron yields have been compared with the available experimental data. The simulation has indicated that, due to the effect of the elastic scattering differential cross section and detection solid angles, the shape of the energy distribution measured with a cylindrical mirror analyzer may differ from the overall energy spectrum of emitted electrons.

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