Published July 2012 | Version v1
Journal article

Reconstruction of the relief of an investigated object with scanning X-ray fluorescence microanalysis and Monte Carlo simulations of surface effects

Creators

  • 1. Department of Dosimetry and Application of Ionizing Radiation, Czech Technical University in Prague (Czech Republic)

Description

This paper describes surface effects in microscopic X-ray fluorescence analysis, including the Monte Carlo simulations of the production and the detection of characteristic radiation. A new data analysis technique is also introduced. It enables us to make improved calculations of element concentrations and to determine the shape of the surface in an analyzed spot. Finally, reliefs of two scanned objects are presented. Good results were achieved, especially for a metallic object containing chemical elements only measurable with X-ray fluorescence analysis.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.apradiso.2011.11.012

Additional details

Identifiers

DOI
10.1016/j.apradiso.2011.11.012;
PII
S0969-8043(11)00547-1;

Publishing Information

Journal Title
Applied Radiation and Isotopes
Journal Volume
70
Journal Issue
7
Journal Page Range
p. 1206-1209
ISSN
0969-8043
CODEN
ARISEF

Conference

Title
8. international topical meeting on industrial radiation and radioisotope measurement applications
Acronym
IRRMA-8
Dates
26 Jun - 1 Jul 2011
Place
Kansas City, MO (United States)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
43073058
Subject category
S07: ISOTOPES AND RADIATION SOURCES;
Resource subtype / Literary indicator
Conference
Descriptors DEI
COMPUTERIZED SIMULATION; DATA ANALYSIS; MICROANALYSIS; MONTE CARLO METHOD; RADIATION DETECTION; SURFACES; X RADIATION; X-RAY FLUORESCENCE ANALYSIS
Descriptors DEC
CALCULATION METHODS; CHEMICAL ANALYSIS; DETECTION; ELECTROMAGNETIC RADIATION; IONIZING RADIATIONS; NONDESTRUCTIVE ANALYSIS; RADIATIONS; SIMULATION; X-RAY EMISSION ANALYSIS

Optional Information

Copyright
Copyright (c) 2011 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.