The check of the elastic scattering model in Monte-Carlo simulation

被引:0
作者
Stary, V
机构
关键词
Monte-Carlo simulation; electron scattering by matter; backscattering coefficient of thin films; electron probe; X-ray microanalysis;
D O I
暂无
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The coefficient of electron backscattering, the angular and energy distribution of transmitted electrons and of backscattered electrons have been calculated by the Monte-Carlo method using several models of electron elastic scattering. The calculations were carried out for C, Al, Cu, Au, in the 10-100 keV energy range and in the 20-1000 nm film thickness range. Our findings were compared with published experimental results. The cross-section of elastic scattering was calculated either by Rutherford's formula (the screened atomic potential was assumed) or by Mott's theory including electron spin, or was taken from data tables computed from Hartree-Fock atomic wave functions. This provided an opportunity to decide which model of electron-atom elastic interaction is the best for simulation. The results showed that the backscattering coefficient, and mainly its dependence on him thickness and electron energy, is a quantity which is strongly sensitive to the model type. The best agreement between calculated and experimental data was reached, in the full range of primary electron energies and film thicknesses, for Au and Al by using tables with rigorous partial wave calculations and for Cu by using Rutherford's formula, even though the differences among results for Cu are relatively small.
引用
收藏
页码:559 / 572
页数:14
相关论文
共 50 条
  • [31] A Monte-Carlo simulation of positron diffusion in solids
    Eichler, S
    Hubner, C
    KrauseRehberg, R
    APPLIED SURFACE SCIENCE, 1997, 116 : 155 - 161
  • [32] MONTE-CARLO SIMULATIONS OF ELECTRON-SCATTERING IN BONE
    HOWELL, PGT
    BOYDE, A
    BONE, 1994, 15 (03) : 285 - 291
  • [33] A Novel Monte-Carlo Simulation-Based Model for Malware Detection (eRBCM)
    Alrammal, Muath
    Naveed, Munir
    Tsaramirsis, Georgios
    ELECTRONICS, 2021, 10 (22)
  • [34] MONTE-CARLO SIMULATION OF CYCLIZATION DURING STEPWISE POLYMERIZATION
    HENDRICKSON, R
    GUPTA, A
    MACOSKO, CW
    COMPUTATIONAL POLYMER SCIENCE, 1995, 5 (03): : 135 - 142
  • [35] The Monte-Carlo simulation of the permeability of K ion channels
    An, HL
    Yong, Z
    Liu, JW
    Zhang, SH
    Zhao, TJ
    INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2004, 18 (17-19): : 2585 - 2589
  • [36] Monte-Carlo simulation of heavy-ion collisions
    Schenke, Bjoern
    Jeon, Sangyong
    Gale, Charles
    NUCLEAR PHYSICS A, 2011, 855 (01) : 303 - 306
  • [37] Monte-Carlo Simulation of Reliability of System with Complex Interconnections
    Pokoradi, Laszlo
    VEHICLES, 2024, 6 (04): : 1801 - 1811
  • [38] Monte-Carlo simulation of skin with blood layer inclusion
    Savchenko, EP
    Tuchin, VV
    SARATOV FALL MEETING 2000: OPTICAL TECHNOLOGIES IN BIOPHYSICS AND MEDICINE II, 2001, 4241 : 231 - 236
  • [39] Construction of tissue autofluorescence spectra by Monte-Carlo simulation
    Chen, XD
    Xie, HB
    Xu, Z
    Yu, DY
    OPTICS IN HEALTH CARE AND BIOMEDICAL OPTICS: DIAGNOSTICS AND TREATMENT, 2002, 4916 : 437 - 440
  • [40] Monte-Carlo simulation of optical trap stiffness measurement
    Gong, Zan
    Chen, Hongtao
    Xu, Shenghua
    Li, Yinmei
    Lou, Liren
    OPTICS COMMUNICATIONS, 2006, 263 (02) : 229 - 234