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 Nested...
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ftdoajarticles:oai:doaj.org/article:e37aebd514d549e09f14862e73fdfdcf 2023-12-03T10:24:44+01:00 DFENS: Diffusion Chronometry Using Finite Elements and Nested Sampling Euan J. F. Mutch John Maclennan Oliver Shorttle John F. Rudge David A. Neave 2021-04-01T00:00:00Z https://doi.org/10.1029/2020GC009303 https://doaj.org/article/e37aebd514d549e09f14862e73fdfdcf EN eng Wiley https://doi.org/10.1029/2020GC009303 https://doaj.org/toc/1525-2027 1525-2027 doi:10.1029/2020GC009303 https://doaj.org/article/e37aebd514d549e09f14862e73fdfdcf Geochemistry, Geophysics, Geosystems, Vol 22, Iss 4, Pp n/a-n/a (2021) Bárðarbunga Bayesian inversion diffusion modeling finite elements Iceland volcanic and magmatic timescales Geophysics. Cosmic physics QC801-809 Geology QE1-996.5 article 2021 ftdoajarticles https://doi.org/10.1029/2020GC009303 2023-11-05T01:35:59Z 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 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. Article in Journal/Newspaper Iceland Directory of Open Access Journals: DOAJ Articles Skuggafjöll ENVELOPE(-18.722,-18.722,63.977,63.977) Geochemistry, Geophysics, Geosystems 22 4 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Bárðarbunga Bayesian inversion diffusion modeling finite elements Iceland volcanic and magmatic timescales Geophysics. Cosmic physics QC801-809 Geology QE1-996.5 |
spellingShingle |
Bárðarbunga Bayesian inversion diffusion modeling finite elements Iceland volcanic and magmatic timescales Geophysics. Cosmic physics QC801-809 Geology QE1-996.5 Euan J. F. Mutch John Maclennan Oliver Shorttle John F. Rudge David A. Neave DFENS: Diffusion Chronometry Using Finite Elements and Nested Sampling |
topic_facet |
Bárðarbunga Bayesian inversion diffusion modeling finite elements Iceland volcanic and magmatic timescales Geophysics. Cosmic physics QC801-809 Geology QE1-996.5 |
description |
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 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. |
format |
Article in Journal/Newspaper |
author |
Euan J. F. Mutch John Maclennan Oliver Shorttle John F. Rudge David A. Neave |
author_facet |
Euan J. F. Mutch John Maclennan Oliver Shorttle John F. Rudge David A. Neave |
author_sort |
Euan J. F. Mutch |
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 |
Wiley |
publishDate |
2021 |
url |
https://doi.org/10.1029/2020GC009303 https://doaj.org/article/e37aebd514d549e09f14862e73fdfdcf |
long_lat |
ENVELOPE(-18.722,-18.722,63.977,63.977) |
geographic |
Skuggafjöll |
geographic_facet |
Skuggafjöll |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
Geochemistry, Geophysics, Geosystems, Vol 22, Iss 4, Pp n/a-n/a (2021) |
op_relation |
https://doi.org/10.1029/2020GC009303 https://doaj.org/toc/1525-2027 1525-2027 doi:10.1029/2020GC009303 https://doaj.org/article/e37aebd514d549e09f14862e73fdfdcf |
op_doi |
https://doi.org/10.1029/2020GC009303 |
container_title |
Geochemistry, Geophysics, Geosystems |
container_volume |
22 |
container_issue |
4 |
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1784273263291006976 |