Monte Carlo simulation code for confocal 3D micro-beam X-ray fluorescence analysis of stratifiedmaterials

被引:25
|
作者
Czyzycki, Mateusz [1 ]
Wegrzynek, Dariusz [1 ]
Wrobel, Pawel [1 ]
Lankosz, Andmarek [1 ]
机构
[1] AGH Univ Sci & Technol, Fac Phys & Appl Comp Sci, PL-30059 Krakow, Poland
关键词
TRACE-ELEMENT ANALYSIS; COMET; 81P/WILD-2; PAINT LAYERS; MU-XRF; MICROFLUORESCENCE; SPECTROSCOPY; PARTICLES; OPTICS;
D O I
10.1002/xrs.1300
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
Stratified materials are of great importance for many branches of modern industry, e. g. electronics or optics and for biomedical applications. Examination of chemical composition of individual layers and determination of their thickness helps to get information on their properties and function. A confocal 3D micro X-ray fluorescence (3D mu XRF) spectroscopy is an analytical method giving the possibility to investigate 3D distribution of chemical elements in a sample with spatial resolution in the micrometer regime in a non-destructive way. Thin foils of Ti, Cu and Au, a bulk sample of Cu and a three-layered sandwich sample, made of two thin Fe/Ni alloy foils, separated by polypropylene, were used as test samples. A Monte Carlo (MC) simulation code for the determination of elemental concentrations and thickness of individual layers in stratified materials with the use of confocal 3D mu XRF spectroscopy was developed. The X-ray intensity profiles versus the depth below surface, obtained from 3D mu XRF experiments, MC simulation and an analytical approach were compared. Correlation coefficients between experimental versus simulated, and experimental versus analytical model X-ray profiles were calculated. The correlation coefficients were comparable for both methods and exceeded 99%. The experimental X-ray intensity profiles were deconvoluted with iterative MC simulation and by using analytical expression. The MC method produced slightly more accurate elemental concentrations and thickness of successive layers as compared to the results of the analytical approach. This MC code is a robust tool for simulation of scanning confocal 3D mu XRF experiments on stratified materials and for quantitative interpretation of experimental results. Copyright (C) 2011 John Wiley & Sons, Ltd.
引用
收藏
页码:88 / 95
页数:8
相关论文
共 50 条
  • [21] Confocal macro X-ray fluorescence spectrometer on commercial 3D printer
    Szaloki, I.
    Gerenyi, A.
    Radocz, G.
    X-RAY SPECTROMETRY, 2017, 46 (06) : 497 - 506
  • [22] 3D elemental identification and quantification using confocal x-ray fluorescence
    Mertens, James
    Patterson, Brian
    Cordes, Nikolaus
    Henderson, Kevin
    Griego, Jeffrey
    Day, Thomas
    Schmidt, Derek
    Havrilla, George
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2016, 251
  • [23] Integrating 3D images using laboratory-based micro X-ray computed tomography and confocal X-ray fluorescence techniques
    Patterson, Brian M.
    Campbell, John
    Havrilla, George J.
    X-RAY SPECTROMETRY, 2010, 39 (03) : 184 - 190
  • [24] A Monte Carlo study of x-ray fluorescence in x-ray detectors
    Boone, JM
    Seibert, JA
    Sabol, JM
    Tecotzky, M
    MEDICAL PHYSICS, 1999, 26 (06) : 905 - 916
  • [25] Reverse Monte Carlo iterative algorithm for quantification of X-ray fluorescence analysis based on MCNP6 simulation code
    Szaloki, Imre
    Gerenyi, Anita
    Radocz, Gabor
    X-RAY SPECTROMETRY, 2020, 49 (05) : 587 - 595
  • [26] Investigation of chemical vapour deposition diamond detectors by X-ray micro-beam induced current and X-ray micro-beam induced luminescence techniques
    Olivero, P
    Manfredotti, C
    Vittone, E
    Fizzotti, F
    Paolini, C
    Lo Giudice, A
    Barrett, R
    Tucoulou, R
    SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY, 2004, 59 (10-11) : 1565 - 1573
  • [27] voxTrace: A voxel-based Monte-Carlo ray-tracing code for the simulation of X-ray fluorescence spectra
    Iro, Michael
    Ingerle, Dieter
    Hampel, Sven
    Fittschen, Ursula
    Dhamgaye, Vishal
    Fox, Oliver
    Streli, Christina
    SOFTWAREX, 2023, 23
  • [28] Impurities in multicrystalline silicon wafers for solar cells detected by synchrotron micro-beam X-ray fluorescence analysis
    Buzanich, Guenter
    Radtke, Martin
    Reinholz, Uwe
    Riesemeier, Heinrich
    Thuenemann, Andreas F.
    Streli, Christina
    JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY, 2012, 27 (11) : 1875 - 1881
  • [29] Monte Carlo simulation for x-ray detector
    Cai, Houzhi
    Liu, Jinyuan
    Peng, Xiang
    Niu, Lihong
    Peng, Wenda
    Long, Jinghua
    INTERNATIONAL SYMPOSIUM ON PHOTOELECTRONIC DETECTION AND IMAGING 2011: ADVANCES IN IMAGING DETECTORS AND APPLICATIONS, 2011, 8194
  • [30] A Monte Carlo simulation of x-ray mammography
    Spyrou, G
    Panayiotakis, G
    Tzanakos, G
    PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 18, PTS 1-5, 1997, 18 : 842 - 843