Effect of experimental parameters and resulting analytical signal statistics in laser-induced breakdown spectroscopy

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F16%3APU120644" target="_blank" >RIV/00216305:26620/16:PU120644 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.sab.2016.10.002" target="_blank" >http://dx.doi.org/10.1016/j.sab.2016.10.002</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.sab.2016.10.002" target="_blank" >10.1016/j.sab.2016.10.002</a>

Result language
angličtina
Original language name
Effect of experimental parameters and resulting analytical signal statistics in laser-induced breakdown spectroscopy
Original language description
The purpose of this work is to provide detailed study of statistical behavior of different types of analytical signals in typical of Laser-Induced Breakdown Spectroscopy (LIBS) measurements. The main goal of this work is to justify usage of arithmetic mean and standard deviation as statistical estimates of expected value of selected analytical signal. In contrary to the general assumption that LIBS data show Gaussian distribution, this paper deals with the hypothesis that the data rather demonstrate Generalized Extreme Value Distribution. The study is realized on 10 selected lines measured on NIST glass standard. In order to cover wide range of possible applications three different spectra internal standardization techniques and their influence on distribution were studied. Finally, assuming that the data comes from a single distribution and the central limit theorem is valid, the influence of accumulations on the line distribution is examined and discussed. Statistical tools used and described in this paper can be utilized by other researchers to confirm their hypotheses and verify utilization of Gaussian distribution or even novel data processing methods.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10406 - Analytical chemistry

Project
<a href="/en/project/LQ1601" target="_blank" >LQ1601: CEITEC 2020</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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