Application of polycapillary optical systems to improve a spatial resolution for the ?-XRF analysis by focusing a primary x-ray beam and/or by collecting fluorescence emission is well known. The challenge is to optimize them in combination with x-ray source for exciting K-lines above 20 keV that could allow characterization of many materials composed by heavy elements. To pursue this goal, preliminary studies on possible polycapillary lens employment in thickness determination for multilayer metal materials will be presented in this work. In this paper, the results of first attempts of integrating PyMCA with Monte Carlo simulation code (XMI-MSIM) that takes into account the secondary fluorescence effects on quantitative analysis of homogeneous matrices, in particular, metal alloys, are presented. © 2014 Author(s).

Experimental study for the feasibility of using hard x-rays for micro-XRF analysis of multilayered metals

Ferretti M
2014

Abstract

Application of polycapillary optical systems to improve a spatial resolution for the ?-XRF analysis by focusing a primary x-ray beam and/or by collecting fluorescence emission is well known. The challenge is to optimize them in combination with x-ray source for exciting K-lines above 20 keV that could allow characterization of many materials composed by heavy elements. To pursue this goal, preliminary studies on possible polycapillary lens employment in thickness determination for multilayer metal materials will be presented in this work. In this paper, the results of first attempts of integrating PyMCA with Monte Carlo simulation code (XMI-MSIM) that takes into account the secondary fluorescence effects on quantitative analysis of homogeneous matrices, in particular, metal alloys, are presented. © 2014 Author(s).
2014
Istituto per le Tecnologie Applicate ai Beni Culturali - ITABC - Sede Montelibretti
Istituto di Scienze del Patrimonio Culturale - ISPC
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/256272
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