University of Adelaide Library

Adelaide Research and Scholarship : Schools and Disciplines : School of Mathematical Sciences : Mathematical Sciences publications

Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/74511

Type: Journal article
Title: Multivariate analysis of an LA-ICP-MS trace element dataset for pyrite
Author: Winderbaum, Lyron Juan
Ciobanu, Cristiana Liana
Cook, Nigel John
Paul, Matthew Wayne
Metcalfe, Andrew Viggo
Gilbert, Sarah
Citation: Mathematical Geosciences, 2012; 44(7):823-842
Publisher: Kluwer Academic/Plenum Publ
Issue Date: 2012
ISSN: 1874-8961
School/Discipline: School of Mathematical Sciences
Statement of
Responsibility: 
Lyron Winderbaum, Cristiana L. Ciobanu, Nigel J. Cook, Matthew Paul, Andrew Metcalfe, Sarah Gilbert
Abstract: 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.
Keywords: LA-ICP-MS; Pyrite; MANOVA; Parallel coordinate plots; Correlation cluster analysis; Principal component analysis; Factor analysis
Rights: © International Association for Mathematical Geosciences 2012
RMID: 0020122422
DOI: 10.1007/s11004-012-9418-1
Appears in Collections:Environment Institute publications
Mathematical Sciences publications
View citing articles in: Google Scholar
Scopus

There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

© 2008 The University of Adelaide
library@adelaide.edu.au
CRICOS Provider Number 00123M
Service Charter | Copyright | Privacy | Disclaimer