2004
DOI: 10.1016/j.gca.2004.03.014
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Experimental constraints on crystallization differentiation in a deep magma ocean

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Cited by 91 publications
(81 citation statements)
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“…Model update is significant improvement over WvW01. Mismatch with largest ionic radius cations (lightest REE) in Corgne and Wood (2004) and Walter et al (2004) experiments is attributed to minor incorporation of melt in garnet trace element analyses Contrib Mineral Petrol (2007) 154:731-746 743 in partitioning studies, owing to the effect of incorporation of even the smallest amounts of melt in the garnet trace element analyses. Such incorporation of melt, much richer in low-D elements than is coexisting garnet, can artificially raise the apparent D values for those elements .…”
Section: Compo-mentioning
confidence: 99%
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“…Model update is significant improvement over WvW01. Mismatch with largest ionic radius cations (lightest REE) in Corgne and Wood (2004) and Walter et al (2004) experiments is attributed to minor incorporation of melt in garnet trace element analyses Contrib Mineral Petrol (2007) 154:731-746 743 in partitioning studies, owing to the effect of incorporation of even the smallest amounts of melt in the garnet trace element analyses. Such incorporation of melt, much richer in low-D elements than is coexisting garnet, can artificially raise the apparent D values for those elements .…”
Section: Compo-mentioning
confidence: 99%
“…Possible correlations between these variables were first assessed to find combinations in which all variables were independent of one another. Then, each individual lattice-strain fit parameter (D 0 r 0 , and E) was (2000) 1-3 GPa, 900-1,150°C, hydrous, andesitic to tonalitic melts Klemme et al (2002) 3 GPa, 1,400°C, anhydrous Nicholls and Harris (1980) 2-3 GPa, 940-1,420°C, dacitic melts, hydrous Salters and Longhi (1999) 2.8 GPa, 1,500-1,550°C, anhydrous Salters et al (2002) 2.8-3.4 GPa, 1,465-1,660°C, anhydrous Shimizu and Kushiro (1975) 3 GPa, 1,275°C, anhydrous Walter et al (2004)~23 GPa,~2,300°C, anhydrous, majoritic garnet multiply regressed against combinations of these independent variables using both standard and ''stepwise'' approaches. Multiple linear regression results for these permutations show which are robust predictors and which are not.…”
Section: Expanded Databasementioning
confidence: 99%
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