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
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
