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Numerical strategies for magnetic mineral unmixing

dc.contributor.authorHeslop, David
dc.date.accessioned2016-02-24T22:40:58Z
dc.date.issued2015
dc.date.updated2016-02-24T10:08:19Z
dc.description.abstractIron-bearing minerals are sensitive to a wide spectrum of natural processes and thus carry important environmental information. In environmental magnetism, various techniques are used to identify and quantify magnetic mineral assemblages in natural materials, with the aim of drawing inferences concerning past environments and environmental change. Natural materials typically contain a number of magnetic mineral subpopulations with different origins that can reflect multiple environmental processes. Thus, it is essential that the information carried by such mixed magnetic mineral assemblages can be quantified in terms of environmentally meaningful component parts. Magnetic unmixing techniques are designed to perform this quantification and can, thus, act as a cornerstone for interpreting complex environmental magnetic data. In this review, numerical strategies for unmixing magnetic mineral assemblages are discussed and are illustrated with examples. Emphasis is placed on the extent of available a priori knowledge concerning a magnetic mineral mixture and the ways that such information can be incorporated into a meaningful unmixing model.
dc.identifier.issn0012-8252
dc.identifier.urihttp://hdl.handle.net/1885/98516
dc.publisherElsevier
dc.sourceEarth-Science Reviews
dc.titleNumerical strategies for magnetic mineral unmixing
dc.typeJournal article
local.bibliographicCitation.lastpage284
local.bibliographicCitation.startpage256
local.contributor.affiliationHeslop, David, College of Physical and Mathematical Sciences, ANU
local.contributor.authoruidHeslop, David, u4919989
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor040400 - GEOPHYSICS
local.identifier.ariespublicationU3488905xPUB5692
local.identifier.citationvolume150
local.identifier.doi10.1016/j.earscirev.2015.07.007
local.identifier.scopusID2-s2.0-84940042377
local.type.statusPublished Version

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