DFENS: Diffusion Chronometry Using Finite Elements and Nested Sampling ...

Abstract: In order to reconcile petrological and geophysical observations of magmatic processes in the temporal domain, the uncertainties in diffusion timescales need to be rigorously assessed. Here, we present a new diffusion chronometry method: Diffusion chronometry using Finite Elements and Neste...

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Bibliographic Details
Main Authors: Mutch, Euan J. F., Maclennan, John, Shorttle, Oliver, Rudge, John F., Neave, David A.
Format: Article in Journal/Newspaper
Language:unknown
Published: Apollo - University of Cambridge Repository 2021
Subjects:
Research Article
Bárðarbunga
Bayesian inversion
diffusion modeling
finite elements
Iceland
volcanic and magmatic timescales
olivine and plagioclase geospeedometry
Skuggafjöll
Online Access:https://dx.doi.org/10.17863/cam.68586
https://www.repository.cam.ac.uk/handle/1810/321466
Description
Summary:Abstract: In order to reconcile petrological and geophysical observations of magmatic processes in the temporal domain, the uncertainties in diffusion timescales need to be rigorously assessed. Here, we present a new diffusion chronometry method: Diffusion chronometry using Finite Elements and Nested Sampling (DFENS). This method combines a finite element numerical model with a nested sampling Bayesian inversion, meaning that uncertainties in the parameters contributing to diffusion timescale estimates can be obtained and that observations from multiple elements can be used to better constrain individual timescales. Uncertainties associated with diffusion timescales can be reduced by accounting for covariance in the uncertainty structure of diffusion parameters rather than assuming that they are independent of each other. We applied the DFENS method to the products of the Skuggafjöll eruption from the Bárðarbunga volcanic system in Iceland, which contains zoned macrocrysts of olivine and plagioclase that ...

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