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2D modelling: A Monte Carlo approach for assessing heterogeneous beta dose rates in luminescence and ESR dating: Paper ΙΙ, application to igneous rocks.

Authors :
Fang, Fang
Martin, Loïc
Williams, Ian S.
Brink, Frank
Mercier, Norbert
Grün, Rainer
Source :
Quaternary Geochronology; Oct2018, Vol. 48, p195-206, 12p
Publication Year :
2018

Abstract

Abstract Accurate evaluations of beta dose rates are crucial in luminescence and electron spin resonance (ESR) thermochronology. Most igneous rocks are heterogeneous and have complex mineralogical structures that render them unsuitable for the conventional methods of beta dose rate calculations based on infinite matrix assumptions. The recently developed software DosiVox-2D provides a Monte-Carlo approach for calculating beta dose rates in realistic heterogeneous geometries. In this paper, we present 2D simulations of uniform and layered igneous rocks. For the modelling, mineral distribution maps were obtained by QEM-EDS (quantitative evaluation of minerals using energy dispersive spectroscopy) and radionuclide concentrations in minerals were determined by laser ablation (LA) ICP-MS. The results show that the skewness of beta dose rate distributions in quartz reduces as the K concentration in a rock increases, and the estimation of the beta dose rate can be critically influenced by the U and Th concentrations and distributions. Highlights • QEMSCAN<superscript>®</superscript> provides realistic 2D mineral mapping for heterogeneous rocks. • A single set of radionuclide concentrations cannot be representative for some U and Th enriched minerals. • Selections of representative slices, mapping resolution and size are essential to obtain reliable beta dose rate. • Beta dose rate calculation can be critically influenced by the U and Th concentrations and distributions. • DosiVox-2D enables to estimate beta dose rate in single-grain level. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18711014
Volume :
48
Database :
Supplemental Index
Journal :
Quaternary Geochronology
Publication Type :
Academic Journal
Accession number :
133212898
Full Text :
https://doi.org/10.1016/j.quageo.2018.07.005