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Study of diffraction data sets using factor analysis: a new technique for comparing mineralogical and geochemical data and rapid diagnostics of the mineral composition of large collections of rock samples

Published online by Cambridge University Press:  07 June 2019

Ekaterina Fomina Open the ORCID record for Ekaterina Fomina [Opens in a new window] ,
Evgeniy Kozlov Open the ORCID record for Evgeniy Kozlov [Opens in a new window]  and
Svetlana Ivashevskaja
Ekaterina Fomina*
Affiliation:
Geological Institute, Kola Science Centre, Russian Academy of Sciences, 14, Fersmana Street, 184209 Apatity, Russia
Evgeniy Kozlov
Affiliation:
Geological Institute, Kola Science Centre, Russian Academy of Sciences, 14, Fersmana Street, 184209 Apatity, Russia
Svetlana Ivashevskaja
Affiliation:
Institute of Geology, Karelian Research Centre, Russian Academy of Sciences, 11, Pushkinskaya Street, 185910 Petrozavodsk, Russia
*
a)Author to whom correspondence should be addressed. Electronic mail: [email protected]
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Abstract

This paper presents an example of comparing geochemical and mineralogical data by means of the statistical analysis of the X-ray diffraction patterns and the chemical compositions of bulk samples. The proposed methodology was tested on samples of metasomatic rocks from two geologically different objects. Its application allows us to mathematically identify all the main, secondary and some accessory minerals, to qualitatively estimate the contents of these minerals, as well as to assess their effect on the distribution of all petrogenic and investigated trace elements in a short period of time at the earliest stages of the research. We found that the interpretation of the results is significantly influenced by the number of samples studied and the quality of diffractograms.

Keywords

factor analysisX-ray powder diffractiontaxitic rocksmetasomatites
Type
Technical Articles
Information
Powder Diffraction , Volume 34 , Supplement S1 , September 2019 , pp. S59 - S70
Copyright
Copyright © International Centre for Diffraction Data 2019 

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