JOURNAL ARTICLE
Corrigendum to "Statistical Perspective on the Petrological Utility of Polyphase Groundmass Compositions Inferred via Defocused Beam Electron Probe Microanalysis" [Geostandards and Geoanalytical Research (2024)].
Published In: Geostandards & Geoanalytical Research, 2024, v. 48, n. 2. P. 359 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Coulthard, Daniel A.; Iizuka, Yoshiyuki; Zellmer, Georg F.; Brahm, Raimundo 3 of 3
Abstract
Due to the incorrect speciation of iron during thermometry modelling, Coulthard et al. (2024) produced an incorrect olivine‐liquid equilibrium diagram, which failed to identify multiple potential equilibrium olivine‐melt pairs. With the new pairs identified here, the temperatures inferred from olivine‐groundmass pairs move closer in temperature space to those inferred from olivine‐glass pairs. Additionally, it is recognised that the most significant difference between these thermometry data is due to differences in inferred melt water mass fraction. If a mean value of water is used for all thermometry, the mean temperatures calculated for olivine‐glass and olivine‐groundmass pairs converge to within 10 °C of one another. This indicates that groundmass compositions inferred via the defocused beam analysis of a polyphase groundmass may reproduce enough information to confidently perform olivine‐melt thermometry despite the glass and groundmass data representing significantly different compositions in multivariate space. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Geostandards & Geoanalytical Research. 2024/06, Vol. 48, Issue 2, p359
- Document Type:Article
- Subject Area:Science
- Publication Date:2024
- ISSN:1639-4488
- DOI:10.1111/ggr.12554
- Accession Number:177419179
- Copyright Statement:Copyright of Geostandards & Geoanalytical Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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