2021
DOI: 10.2138/am-2021-7296ccby
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Reducing epistemic and model uncertainty in ionic inter-diffusion chronology: A 3D observation and dynamic modeling approach using olivine from Piton de la Fournaise, La Réunion

Abstract: The modeling of ionic diffusion in natural crystals has been developed over the last three decades to calculate timescales of geological processes. As the number of studies and the size of datasets have expanded, improvements in precision of the general technique are needed to resolve temporal patterns that would otherwise be masked by large uncertainties. This contribution examines fundamental aspects of timescale calculation uncertainty using Mg-Fe zonation in olivine crystals from a Piton de la Fournaise oc… Show more

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Cited by 13 publications
(5 citation statements)
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“…For instance, zoning profiles can commonly display non‐flat asymptotes at either end of the sigmoidal curve, potentially reflecting relict growth zoning. Zoning profiles formed by a combination of diffusion and growth are challenging to model, since the interplay between diffusion and growth is also dependent on crystal growth rate and cooling rate (Chamberlain et al., 2014; Couperthwaite et al., 2021). For the diffusion modeling reported here, we only selected zoning profiles that display the best sigmoidal profiles.…”
Section: Discussionmentioning
confidence: 99%
“…For instance, zoning profiles can commonly display non‐flat asymptotes at either end of the sigmoidal curve, potentially reflecting relict growth zoning. Zoning profiles formed by a combination of diffusion and growth are challenging to model, since the interplay between diffusion and growth is also dependent on crystal growth rate and cooling rate (Chamberlain et al., 2014; Couperthwaite et al., 2021). For the diffusion modeling reported here, we only selected zoning profiles that display the best sigmoidal profiles.…”
Section: Discussionmentioning
confidence: 99%
“…In these cases, mixing between the two melts was slower than the growth rate, which was nearly instantaneous, thus enabling the preservation of a double plateau in the external diopsidic-augitic compositional boundary. To avoid biases in the timescale calculations (see Couperthwaite et al 2021), we excluded these types from the diffusion chronometry modelling.…”
Section: Timing the Pre-eruptive Magma Dynamicsmentioning
confidence: 99%
“…180 time estimates from modelling the diffusive relaxation of Fe-Mg zoning profiles in 123 olivine crystals have been obtained using Autodiff, an objective, rapid-modelling approach that exploits the self-similarity of one-dimensional diffusion profiles with similar boundary conditions to allow timescales to be determined quickly (Couperthwaite et al, 2021 and2020;Pankhurst et al, 2018;Allan et al, 2017;Hartley et al, 2016). The number of independent estimates (n=180) is larger than the number of crystals modelled (n=123) because some crystals record multi-stage events, which were modelled stepwise (Fig.…”
Section: Olivinementioning
confidence: 99%
“…Timescale of deep magma mobilization. Timescale distributions for olivine (green)and plagioclase (blue) macrocrysts modeled using Autodiff(Couperthwaite et al, 2021 and2020; Pankhurst et al, 2018;Allan et al, 2017; Hartley et al, 2016) and DFENS(Mutch et al, 2021(Mutch et al, , 2019a(Mutch et al, , 2019b. (A and B) Kernel density estimates (KDEs) for olivine and plagioclase populations.…”
mentioning
confidence: 99%