Detail publikace

Multivariate approach to study of elemental association in sandstone-hosted uranium ores

Originální název

Multivariate approach to study of elemental association in sandstone-hosted uranium ores

Anglický název

Multivariate approach to study of elemental association in sandstone-hosted uranium ores

Jazyk

en

Originální abstrakt

This work aims on the description of possible element association within a sample of sandstone-hosted uranium ore by means of laser-induced breakdown spectroscopy (LIBS). The association of elements U-Zr-P-Ti is unique for the ore origin deposit (Břevniště, Czech Republic). It was possible to divide measured dataset into two distinct groups by utilizing artificial neural networks (ANN). One group is associated to the silicon matrix (with major compound SiO2). Second group can be correlated to the presence of uranium, this means that we can expect aforementioned element association within this group.

Anglický abstrakt

This work aims on the description of possible element association within a sample of sandstone-hosted uranium ore by means of laser-induced breakdown spectroscopy (LIBS). The association of elements U-Zr-P-Ti is unique for the ore origin deposit (Břevniště, Czech Republic). It was possible to divide measured dataset into two distinct groups by utilizing artificial neural networks (ANN). One group is associated to the silicon matrix (with major compound SiO2). Second group can be correlated to the presence of uranium, this means that we can expect aforementioned element association within this group.

Dokumenty

BibTex


@proceedings{BUT126520,
  author="Jakub {Klus} and Pavel {Pořízka} and David {Prochazka} and Jan {Novotný} and Karel {Novotný} and Jozef {Kaiser}",
  title="Multivariate approach to study of elemental association in sandstone-hosted uranium ores",
  annote="This work aims on the description of possible element association within a sample of sandstone-hosted uranium ore by means of laser-induced breakdown spectroscopy (LIBS). The association of elements U-Zr-P-Ti is unique for the ore origin deposit (Břevniště, Czech Republic). It was possible to divide measured dataset into two distinct groups by utilizing artificial neural networks (ANN). One group is associated to the silicon matrix (with major compound SiO2). Second group can be correlated to the presence of uranium, this means that we can expect aforementioned element association within this group.",
  address="Hungarian Chemical Society",
  booktitle="European Symposium on Atomic Spectrometry ESAS 2016 - Book of abstracts.",
  chapter="126520",
  howpublished="print",
  institution="Hungarian Chemical Society",
  year="2016",
  month="march",
  pages="120--120",
  publisher="Hungarian Chemical Society",
  type="conference proceedings"
}