Title of article
Multivariate Statistical Analysis on a SEM/EDS Phase Map of Rare Earth Minerals
Author/Authors
Gauvin, Raynald Department of Mining and Materials Engineering - McGill University - Montreal - Quebec, Canada , Teng, Chaoyi Department of Mining and Materials Engineering - McGill University - Montreal - Quebec, Canada
Pages
12
From page
1
To page
12
Abstract
Thescanningelectronmicroscope/X-rayenergydispersivespectrometer(SEM/EDS)systemiswidelyappliedtorareearthminerals(REMs)toqualitativelydescribetheirmineralogyandquantitativelydeterminetheircomposition.TheperformanceofmultivariatestatisticalanalysisontheEDSrawdatasetcanenhancetheefficiencyandtheaccuracyofphaseidentification.Inthiswork,theprincipalcomponentanalysis(PCA)andtheblindsourceseparation(BSS)algorithmswereperformedonanEDSmapofaREMsample,assistingtoachieveanefficientphasemapanalysis.ThePCAsignificantlydenoisedthephasemapandwasusedasapreprocessingstepforthefollowingBSS.TheBSSseparatedthemixedEDSsignalsintoasetofphysicallyinterpretablecomponents,bringingconveniencetothephaseseparationandidentification.Throughthecomparisonbetweentheindependentcomponentanalysis(ICA)andthenonnegativematrixfactorization(NMF)algorithms,theNMFwasconfirmedtobemoresuitablefortheEDSmappinganalysis.
Keywords
Multivariate Statistical Analysis , SEM/EDS Phase Map , Rare Earth Minerals , Industrialdemandsforrareearthelements(REEs) , REMs
Journal title
Scanning
Serial Year
2020
Record number
2613381
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