Iterative Monte Carlo method for identification and quantitative analysis of stratified samples involving the use of Ka/Kb ratios

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F14%3A00225193" target="_blank" >RIV/68407700:21340/14:00225193 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Iterative Monte Carlo method for identification and quantitative analysis of stratified samples involving the use of Ka/Kb ratios

Popis výsledku v původním jazyce

Computer simulation based on a Monte Carlo method represents a valuable tool for calculating of radiation transport in matter including the effects of the X-ray absorption and the production of characteristic radiation. Thus, several existing codes can be applied to the modeling of detector responses or X-ray intensities in X-ray fluorescence analysis (XRF) when experimental conditions of the XRF and sample composition are known. However, quantitative evaluation of the obtained data requires opposite procedure because sample composition is generally unknown and even experimental conditions may not be specified accurately. The iterative method can lead to correct results because the calculated sample composition is adjusted gradually to achieve a satisfactory correspondence of experimental and calculated data. The Monte Carlo code MCNPX was applied in this work.

Název v anglickém jazyce

Iterative Monte Carlo method for identification and quantitative analysis of stratified samples involving the use of Ka/Kb ratios

Popis výsledku anglicky

Computer simulation based on a Monte Carlo method represents a valuable tool for calculating of radiation transport in matter including the effects of the X-ray absorption and the production of characteristic radiation. Thus, several existing codes can be applied to the modeling of detector responses or X-ray intensities in X-ray fluorescence analysis (XRF) when experimental conditions of the XRF and sample composition are known. However, quantitative evaluation of the obtained data requires opposite procedure because sample composition is generally unknown and even experimental conditions may not be specified accurately. The iterative method can lead to correct results because the calculated sample composition is adjusted gradually to achieve a satisfactory correspondence of experimental and calculated data. The Monte Carlo code MCNPX was applied in this work.

Druh

O - Ostatní výsledky

CEP obor

BG - Jaderná, atomová a molekulová fyzika, urychlovače

OECD FORD obor

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Projekt

<a href="/cs/project/DF13P01OVV010" target="_blank" >DF13P01OVV010: Historické technologie a moderní metody průzkumu. Interpretační možnosti specializovaných metod průzkumu děl středověkého umění s využitím inovativních technologií.</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů