DFENS: Diffusion Chronometry Using Finite Elements and Nested Sampling
<jats:title>Abstract</jats:title><jats:p>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: Diff...
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American Geophysical Union (AGU)
2021
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ftunivcam:oai:www.repository.cam.ac.uk:1810/319424 2024-01-14T10:07:55+01:00 DFENS: Diffusion Chronometry Using Finite Elements and Nested Sampling Mutch, EJF Maclennan, J Shorttle, O Rudge, JF Neave, DA 2021 application/pdf https://www.repository.cam.ac.uk/handle/1810/319424 https://doi.org/10.17863/CAM.66547 eng eng American Geophysical Union (AGU) http://dx.doi.org/10.1029/2020gc009303 Geochemistry, Geophysics, Geosystems https://www.repository.cam.ac.uk/handle/1810/319424 doi:10.17863/CAM.66547 All rights reserved Bá rð arbunga Bayesian inversion diffusion modeling finite elements Iceland volcanic and magmatic timescales olivine and plagioclase geospeedometry Skuggafjö ll Article 2021 ftunivcam https://doi.org/10.17863/CAM.66547 2023-12-21T23:19:18Z <jats:title>Abstract</jats:title><jats:p>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 record a shared magmatic history. Olivine and plagioclase provide consistent pre‐eruptive mixing and mush disaggregation timescales of less than 1 year. The DFENS method goes some way toward improving our ability to rigorously address the uncertainties of diffusion timescales, but efforts still need to be made to understand other systematic sources of uncertainty such as crystal morphology, appropriate choice of diffusion coefficients, initial conditions, crystal growth, and the petrological context of diffusion timescales.</jats:p> Article in Journal/Newspaper Iceland Apollo - University of Cambridge Repository Skuggafjöll ENVELOPE(-18.722,-18.722,63.977,63.977) |
institution |
Open Polar |
collection |
Apollo - University of Cambridge Repository |
op_collection_id |
ftunivcam |
language |
English |
topic |
Bá rð arbunga Bayesian inversion diffusion modeling finite elements Iceland volcanic and magmatic timescales olivine and plagioclase geospeedometry Skuggafjö ll |
spellingShingle |
Bá rð arbunga Bayesian inversion diffusion modeling finite elements Iceland volcanic and magmatic timescales olivine and plagioclase geospeedometry Skuggafjö ll Mutch, EJF Maclennan, J Shorttle, O Rudge, JF Neave, DA DFENS: Diffusion Chronometry Using Finite Elements and Nested Sampling |
topic_facet |
Bá rð arbunga Bayesian inversion diffusion modeling finite elements Iceland volcanic and magmatic timescales olivine and plagioclase geospeedometry Skuggafjö ll |
description |
<jats:title>Abstract</jats:title><jats:p>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 record a shared magmatic history. Olivine and plagioclase provide consistent pre‐eruptive mixing and mush disaggregation timescales of less than 1 year. The DFENS method goes some way toward improving our ability to rigorously address the uncertainties of diffusion timescales, but efforts still need to be made to understand other systematic sources of uncertainty such as crystal morphology, appropriate choice of diffusion coefficients, initial conditions, crystal growth, and the petrological context of diffusion timescales.</jats:p> |
format |
Article in Journal/Newspaper |
author |
Mutch, EJF Maclennan, J Shorttle, O Rudge, JF Neave, DA |
author_facet |
Mutch, EJF Maclennan, J Shorttle, O Rudge, JF Neave, DA |
author_sort |
Mutch, EJF |
title |
DFENS: Diffusion Chronometry Using Finite Elements and Nested Sampling |
title_short |
DFENS: Diffusion Chronometry Using Finite Elements and Nested Sampling |
title_full |
DFENS: Diffusion Chronometry Using Finite Elements and Nested Sampling |
title_fullStr |
DFENS: Diffusion Chronometry Using Finite Elements and Nested Sampling |
title_full_unstemmed |
DFENS: Diffusion Chronometry Using Finite Elements and Nested Sampling |
title_sort |
dfens: diffusion chronometry using finite elements and nested sampling |
publisher |
American Geophysical Union (AGU) |
publishDate |
2021 |
url |
https://www.repository.cam.ac.uk/handle/1810/319424 https://doi.org/10.17863/CAM.66547 |
long_lat |
ENVELOPE(-18.722,-18.722,63.977,63.977) |
geographic |
Skuggafjöll |
geographic_facet |
Skuggafjöll |
genre |
Iceland |
genre_facet |
Iceland |
op_relation |
https://www.repository.cam.ac.uk/handle/1810/319424 doi:10.17863/CAM.66547 |
op_rights |
All rights reserved |
op_doi |
https://doi.org/10.17863/CAM.66547 |
_version_ |
1788062321114873856 |