Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/83511
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dc.contributor.authorCheng, Liluen_US
dc.contributor.authorCosta, Fidelen_US
dc.contributor.authorCarniel, Robertoen_US
dc.date.accessioned2019-11-15T06:11:48Zen
dc.date.accessioned2019-12-06T15:24:34Z-
dc.date.available2019-11-15T06:11:48Zen
dc.date.available2019-12-06T15:24:34Z-
dc.date.issued2017-
dc.identifier.citationCheng, L., Costa, F., & Carniel, R. (2017). Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach. American Mineralogist, 102(9), 1894-1905. doi:10.2138/am-2017-5929CCBYNCNDen
dc.identifier.issn0003-004Xen_US
dc.identifier.urihttps://hdl.handle.net/10356/83511-
dc.description.abstractMany plagioclase phenocrysts from volcanic and plutonic rocks display quite complex chemical and textural zoning patterns. Understanding the zoning patterns and variety of crystal populations holds clues to the processes and timescales that lead to the formation of the igneous rocks. However, in addition to a “true” natural complexity of the crystal population, the large variety of plagioclase types can be partly artifacts of the use of two-dimensional (2D) petrographic thin sections and random cuts of three-dimensional (3D) plagioclase crystals. Thus, the identification of the true number of plagioclase populations, and the decision of which are “representative” crystal sections to be used for detailed trace element and isotope analysis is not obvious and tends to be subjective. Here we approach this problem with a series of numerical simulations and statistical analyses of a variety of plagioclase crystals zoned in 3D. We analyze the effect of increasing complexity of zoning based on 2D chemical maps (e.g., backscattered electron images, BSE). We first analyze the random sections of single crystals, and then study the effect of mixing of different crystal populations in the samples. By quantifying the similarity of the compositional histogram of about a hundred 2D plagioclase sections it is possible to identify the so-called reference and ideal sections that are representative of the real 3D crystal populations. These section types allow filtering out the random-cut effects and explain more than 90% of the plagioclase compositional data of a given sample. Our method allows the identification of the main crystal populations and representative crystals that can then be used for a more robust interpretation of magmatic processes and timescales.en_US
dc.format.extent12 p.en
dc.language.isoenen_US
dc.relation.ispartofseriesAmerican Mineralogisten
dc.relation.uri10.21979/N9/VXUWJQen_US
dc.rights© 2017 Mineralogical Society of America. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs CC-BY-NC-ND 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.subjectScience::Geology::Volcanoes and earthquakesen_US
dc.subjectPlagioclaseen_US
dc.subjectCrystal Zoningen_US
dc.titleUnraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approachen_US
dc.typeJournal Articleen
dc.contributor.schoolAsian School of the Environmenten_US
dc.contributor.researchEarth Observatory of Singaporeen_US
dc.identifier.doi10.2138/am-2017-5929CCBYNCND-
dc.description.versionPublished versionen_US
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item.grantfulltextopen-
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