Detail publikace

Analysis of Laser Induced Breakdown Spectroscopy Data Acquired from the Boundary of Two Matrices

HOLUB, D. VRÁBEL, J. POŘÍZKA, P. KAISER, J.

Anglický název

Analysis of Laser Induced Breakdown Spectroscopy Data Acquired from the Boundary of Two Matrices

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

en

Originální abstrakt

Laser-Induced Breakdown Spectroscopy (LIBS) data obtained from the elemental imaging of heterogeneous samples are processed with various chemometric algorithms. The intention is to cluster obtained characteristic spectra and to provide additional information about the sample surface composition and distribution of individual matrices. However, there is a grey zone on the boundary of two matrices and the consequent clustering of the spectra obtained on this boundary is ambiguous. This paper focuses on the transition between two well defined matrices in a simplified case for a better transparency in data visualization. Steel and aluminum samples that are represented by characteristic spectra with significantly distinct structures (e.g., different number of spectral lines). Using a carefully designed experiment, several Fe:Al ratios were ablated and analyzed by Principal Component Analysis, Self-Organizing Maps and standard data metrics. This paper shows the strategy in discrimination of unrecognized spectra and possibilities in their clustering.

Anglický abstrakt

Laser-Induced Breakdown Spectroscopy (LIBS) data obtained from the elemental imaging of heterogeneous samples are processed with various chemometric algorithms. The intention is to cluster obtained characteristic spectra and to provide additional information about the sample surface composition and distribution of individual matrices. However, there is a grey zone on the boundary of two matrices and the consequent clustering of the spectra obtained on this boundary is ambiguous. This paper focuses on the transition between two well defined matrices in a simplified case for a better transparency in data visualization. Steel and aluminum samples that are represented by characteristic spectra with significantly distinct structures (e.g., different number of spectral lines). Using a carefully designed experiment, several Fe:Al ratios were ablated and analyzed by Principal Component Analysis, Self-Organizing Maps and standard data metrics. This paper shows the strategy in discrimination of unrecognized spectra and possibilities in their clustering.

Klíčová slova anglicky

chemometrics, clustering, elemental mapping, laser-induced breakdown spectroscopy

Vydáno

01.08.2022

Nakladatel

SAGE journals

Místo

Newbury Park, USA

ISSN

0003-7028

Ročník

76

Číslo

8

Strany od–do

917–925

Počet stran

9

BIBTEX


@article{BUT177367,
  author="Daniel {Holub} and Jakub {Vrábel} and Pavel {Pořízka} and Jozef {Kaiser},
  title="Analysis of Laser Induced Breakdown Spectroscopy Data Acquired from the Boundary of Two Matrices",
  year="2022",
  volume="76",
  number="8",
  month="August",
  pages="917--925",
  publisher="SAGE journals",
  address="Newbury Park, USA",
  issn="0003-7028"
}