A Bayesian approach to the deconvolution of 40Ar/39Ar data from mineral mixtures

Carter, J. N., Tremblay, M. M. and Mark, D. F. (2020) A Bayesian approach to the deconvolution of 40Ar/39Ar data from mineral mixtures. Chemical Geology, 554, 119784. (doi: 10.1016/j.chemgeo.2020.119784)

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Abstract

40Ar/39Ar geochronology is a powerful technique for dating geological events and processes on timescales from hundreds to billions of years. Most 40Ar/39Ar datasets are collected from analysis of single mineral phases or phenocryst-free groundmass that cooled rapidly following a volcanic eruption, which can allow for straightforward interpretation of 40Ar/39Ar age spectra. However, 40Ar/39Ar age spectra from mixtures of multiple minerals and/or multiple age components are often complex. In such situations, interpretations commonly used for single mineral phases are inappropriate and will result in geologically spurious conclusions. Here, we present a Bayesian method for the analysis and interpretation of 40Ar/39Ar step-heating spectra that result from mixing of multiple components, where a component is defined by both its age and mineral composition. We test the efficacy of this Bayesian approach using a suite of case studies. Two of these case studies utilize 40Ar/39Ar data from laboratory-prepared mixtures, which we use to explore how the composition, age, and number of components in a mixture, as well as our prior knowledge of these parameters, influence the model results. We also present an application-based case study in which we use plausible compositions and ages from a past Mars landing site to generate a synthetic 40Ar/39Ar dataset, which we then deconvolve using our Bayesian approach. We discuss modifications to our method that could improve the model's precision and outline geologic applications of our Bayesian approach in terrestrial and extraterrestrial settings that would permit the extraction of a greater amount of temporal information.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Carter, John and Mark, Professor Darren and Tremblay, Dr Marissa
Authors: Carter, J. N., Tremblay, M. M., and Mark, D. F.
College/School:College of Science and Engineering > School of Geographical and Earth Sciences
College of Science and Engineering > Scottish Universities Environmental Research Centre
Journal Name:Chemical Geology
Publisher:Elsevier
ISSN:0009-2541
ISSN (Online):1872-6836
Published Online:29 July 2020
Copyright Holders:Copyright © 2020 Elsevier B.V.
First Published:First published in Chemical Geology 554: 119784
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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