Melt inclusion formation mechanisms and compositional effects in high-An feldspar and high-Fo olivine in anhydrous mafic silicate liquids

Kohut, E. J.; Nielsen, Roger L.

doi:10.1007/s00410-004-0576-0

Cited by 40 publications

(32 citation statements)

References 44 publications

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“…Calculated from diffusive equilibration at 1100 °C Calculated from diffusive equilibration at 1150 °C (Cashman and Marsh, 1988) 0.99 Direct measurement of a cooling Hawaiian lava lake (Izbekov et al, 2002) 2. The values obtained through diffusion modeling agree well with most other estimations except for the Kohut and Nielsen (2004) value, which was from an experiment at a much higher temperature.…”

supporting

confidence: 87%

Life Cycle of Deccan Trap Magma Chambers: A Crystal Scale Elemental and Strontium Isotopic Investigation

Borges¹

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supporting

confidence: 87%

Life Cycle of Deccan Trap Magma Chambers: A Crystal Scale Elemental and Strontium Isotopic Investigation

Borges¹

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“…In a study of natural basalts and picrites, Kuzmin and Sobolev (2004) documented 1-3 μm-wide boundary layers enriched in incompatible elements, but did not detect boundary layer effects in melt inclusions larger than 20 μm. All melt inclusions measured in our study were greater than 20 μm in diameter (Table S3).…”

Section: Boundary Layer Effectsmentioning

confidence: 93%

“…Although differences in the diffusivity of K and Ti in silicate melt could lead to the development of a compositionally distinct boundary layer surrounding a growing olivine crystal, this boundary layer is unlikely to be trapped in fully enclosed melt inclusions greater than 20 μm in diameter such as those analyzed here (Kuzmin and Sobolev, 2004;Faure and Schiano, 2005; see also discussion in Section 4.1).…”

Section: Melt Inclusion and Carrier Lava K/timentioning

confidence: 95%

“…Experimental studies indicate that melt inclusions can form from two-stage cooling sequences, wherein early, rapid cooling promotes skeletal growth, followed by slower cooling that allows polyhedral crystal faces to develop, progressively trapping enclosed melt (Faure and Schiano, 2005;Goldstein and Luth, 2006;Kohut and Nielsen, 2004). Faure and Schiano (2005) noted that melt inclusions also can form from embayments in polyhedral olivine crystals at constant, low cooling rates of 1-2 • C/h in the absence of a rapid-cooling-rate period.…”

Section: Conditions Favorable For Melt Inclusion Entrapmentmentioning

confidence: 96%

“…Boundary layers form at the edges of rapidly growing olivine crystals when the crystallization rate exceeds the diffusion rate of a given element, progressively enriching the boundary layer in incompatible elements and depleting it in compatible elements (e.g., Faure and Schiano, 2005;Kuzmin and Sobolev, 2004). These boundary layers are most enriched in the most slowly diffusing incompatible elements.…”

Section: Boundary Layer Effectsmentioning

confidence: 99%

See 2 more Smart Citations

Constraints from melt inclusions on depths of magma residence at intermediate magma supply along the Galápagos Spreading Center

Colman

Sinton

Wanless

2015

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Trace element partitioning between plagioclase and melt: An investigation of the impact of experimental and analytical procedures

Nielsen

Üstünışık

Weinsteiger

et al. 2017

Geochem Geophys Geosyst

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Quantitative models of petrologic processes require accurate partition coefficients. Our ability to obtain accurate partition coefficients is constrained by their dependence on pressure temperature and composition, and on the experimental and analytical techniques we apply. The source and magnitude of error in experimental studies of trace element partitioning may go unrecognized if one examines only the processed published data. The most important sources of error are relict crystals, and analyses of more than one phase in the analytical volume. Because we have typically published averaged data, identification of compromised data is difficult if not impossible. We addressed this problem by examining unprocessed data from plagioclase/melt partitioning experiments, by comparing models based on that data with existing partitioning models, and evaluated the degree to which the partitioning models are dependent on the calibration data. We found that partitioning models are dependent on the calibration data in ways that result in erroneous model values, and that the error will be systematic and dependent on the value of the partition coefficient. In effect, use of different calibration datasets will result in partitioning models whose results are systematically biased, and that one can arrive at different and conflicting conclusions depending on how a model is calibrated, defeating the purpose of applying the models. Ultimately this is an experimental data problem, which can be solved if we publish individual analyses (not averages) or use a projection method wherein we use an independent compositional constraint to identify and estimate the uncontaminated composition of each phase.

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Melt inclusion formation mechanisms and compositional effects in high-An feldspar and high-Fo olivine in anhydrous mafic silicate liquids

Cited by 40 publications

References 44 publications

Life Cycle of Deccan Trap Magma Chambers: A Crystal Scale Elemental and Strontium Isotopic Investigation

Life Cycle of Deccan Trap Magma Chambers: A Crystal Scale Elemental and Strontium Isotopic Investigation

Constraints from melt inclusions on depths of magma residence at intermediate magma supply along the Galápagos Spreading Center

Trace element partitioning between plagioclase and melt: An investigation of the impact of experimental and analytical procedures

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