A comparison of ERBS spectra of compounds with Monte Carlo simulations

被引:6
|
作者
Vos, M. [1 ]
Marmitt, G. G. [2 ]
Grande, P. L. [2 ]
机构
[1] Australian Natl Univ, Atom Mol Phys Labs, Res Sch Phys Engn, Canberra, ACT, Australia
[2] Univ Fed Rio Grande do Sul, Inst Fis, Ave Bento Goncalves 9500, BR-91501970 Porto Alegre, RS, Brazil
关键词
electron Rutherford backscattering; Monte Carlo simulations; elastic scattering; ELECTRON-SPECTROSCOPY; ELASTIC-PEAK;
D O I
10.1002/sia.5948
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Electron Rutherford backscattering measures the near-surface composition of samples quantitatively. For interpretation, one usually relies on the single-scattering approximation. Here, we present results for four compounds, containing oxygen and other species, varying from very light to very heavy. Two Monte Carlo codes are described that model these measurements. From these simulations, it is clear that for all samples, multiple scattering occurs frequently, but also that the single scattering interpretation deduces the right composition, except for O atoms in a very heavy matrix, where interpretation is more difficult. The intrinsic width of the peaks, a consequence of Doppler broadening due to the velocity of the (vibrating) atoms, turns out to be more sensitive to multiple scattering effects. Copyright (c) 2016 John Wiley & Sons, Ltd.
引用
收藏
页码:415 / 421
页数:7
相关论文
共 50 条
  • [21] Comparison of neutron diffusion and Monte Carlo simulations of a fission wave
    Osborne, A. G.
    Deinert, M. R.
    ANNALS OF NUCLEAR ENERGY, 2013, 62 : 269 - 273
  • [22] Comparison of grid-definition schemes for Monte Carlo simulations
    Nance, RP
    Wilmoth, RG
    Hassan, HA
    JOURNAL OF THERMOPHYSICS AND HEAT TRANSFER, 1997, 11 (02) : 296 - 303
  • [23] Comparison of Monte Carlo and NEGF simulations of double gate MOSFETs
    Ravishankar R.
    Kathawala G.
    Ravaioli U.
    Hasan S.
    Lundstrom M.
    Journal of Computational Electronics, 2005, 4 (1-2) : 39 - 43
  • [24] COMPARISON OF ROBUST ESTIMATORS FOR LEVELING NETWORKS IN MONTE CARLO SIMULATIONS
    Pokarowska, Maria
    REPORTS ON GEODESY AND GEOINFORMATICS, 2016, 101 (01) : 70 - 81
  • [25] Comparison of Fuzzy and Crisp Random Variables by Monte Carlo Simulations
    Hryniewicz, Olgierd
    STRENGTHENING LINKS BETWEEN DATA ANALYSIS AND SOFT COMPUTING, 2015, 315 : 13 - 20
  • [26] Comparison of Weibull small samples using Monte Carlo simulations
    Lam, R.
    Spelt, J. K.
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2007, 23 (04) : 503 - 513
  • [27] Comparison of Bootstrap Confidence Intervals Using Monte Carlo Simulations
    Flowers-Cano, Roberto S.
    Ortiz-Gomez, Ruperto
    Enrique Leon-Jimenez, Jesus
    Lopez Rivera, Raul
    Perera Cruz, Luis A.
    WATER, 2018, 10 (02):
  • [28] Acquisition of prompt gamma-ray spectra induced by 14 MeV neutrons and comparison with Monte Carlo simulations
    El Kanawati, W.
    Perot, B.
    Carasco, C.
    Eleon, C.
    Valkovic, V.
    Sudac, D.
    Obhodas, J.
    Sannie, G.
    APPLIED RADIATION AND ISOTOPES, 2011, 69 (05) : 732 - 743
  • [29] Monte-Carlo simulations
    Giersz, M
    DYNAMICAL EVOLUTION OF STAR CLUSTERS - CONFRONTATION OF THEORY AND OBSERVATIONS, 1996, (174): : 101 - 110
  • [30] Monte Carlo simulations of oscillations
    Jansen, APJ
    JOURNAL OF MOLECULAR CATALYSIS A-CHEMICAL, 1997, 119 (1-3) : 125 - 134