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Multivariate analysis of an LA-ICP-MS trace element dataset for pyrite
Winderbaum, L and Ciobanu, CL and Cook, NJ and Paul, M and Metcalfe, A and Gilbert, S, Multivariate analysis of an LA-ICP-MS trace element dataset for pyrite, Mathematical Geosciences, 44, (7) pp. 823-842. ISSN 1874-8961 (2012) [Refereed Article]
Copyright 2012 International Association for Mathematical Geosciences.
Application of multivariate statistics to trace element datasets is reviewed using 164 multi-element LA-ICP-MS spot analyses of pyrite from the Moonlight epithermal gold prospect, Queensland, Australia. Multivariate analysis of variance (MANOVA) is used to demonstrate that classification of pyrite on morphological and other non-numeric factors is geochemically valid. Parallel coordinate plots and correlation cluster analysis using Spearman's coefficients are used to discover unexpected elemental relationships without making assumptions a priori. Finally, principal component analysis and factor analysis are used to demonstrate the presence of sub-classes of pyrite. Corroborated with geological data, statistical analysis provides evidence for successive generations of hydrothermal fluids, each introducing specific metals, and for partial or complete replacement of different minerals. The data permit reinterpretation of Moonlight as a telescoped system where epithermal-Au (± base metals) is superposed onto early porphyry-Mo mineralization. © 2012 International Association for Mathematical Geosciences.
|Item Type:||Refereed Article|
|Research Division:||Earth Sciences|
|Research Field:||Mineralogy and crystallography|
|Objective Division:||Expanding Knowledge|
|Objective Group:||Expanding knowledge|
|Objective Field:||Expanding knowledge in the earth sciences|
|UTAS Author:||Gilbert, S (Ms Sarah Gilbert)|
|Web of Science® Times Cited:||72|
|Deposited By:||Centre for Ore Deposit Research - CODES CoE|
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