All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU144135" target="_blank" >RIV/00216305:26210/22:PU144135 - isvavai.cz</a>

  • Result on the web

    <a href="https://journals.sagepub.com/doi/10.1177/00037028221076852" target="_blank" >https://journals.sagepub.com/doi/10.1177/00037028221076852</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1177/00037028221076852" target="_blank" >10.1177/00037028221076852</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10403 - Physical chemistry

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    APPLIED SPECTROSCOPY

  • ISSN

    0003-7028

  • e-ISSN

    1943-3530

  • Volume of the periodical

    neuveden

  • Issue of the periodical within the volume

    2022-05-12

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    9

  • Pages from-to

    1-9

  • UT code for WoS article

    000798887300001

  • EID of the result in the Scopus database