Geochemistry of beryl varieties: comparative analysis and visualization of analytical data by principal component analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE)

Geochemistry of beryl varieties: comparative analysis and visualization of analytical data by principal component analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE)

A study of the trace element composition of beryl varieties (469 SIMS analyses) was carried out. Red beryls are distinguished by a higher content of Ni, Sc, Mn, Fe, Ti, Cs, Rb, K, and B and lower content of Na and water. Pink beryls are characterized by a higher content of Cs, Rb, Na, Li, Cl, and wa...

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Bibliographic Details
Main Authors: Sergey G. Skublov, Aleksandra K. Gavrilchik, Aleksey V. Berezin
Format: Article
Language:English
Published: Saint-Petersburg Mining University 2022-07-01
Series:Записки Горного института
Subjects:
beryl
geochemistry of trace elements
sims method
principal component analysis (pca)
t-sne method
Online Access:https://pmi.spmi.ru/index.php/pmi/article/view/15810?setLocale=en_US

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https://pmi.spmi.ru/index.php/pmi/article/view/15810?setLocale=en_US

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