Effect of experimental parameters and resulting analytical signal statistics in laser-induced breakdown spectroscopy
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Effect of experimental parameters and resulting analytical signal statistics in laser-induced breakdown spectroscopy
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Effect of experimental parameters and resulting analytical signal statistics in laser-induced breakdown spectroscopy
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10406 - Analytical chemistry
Návaznosti výsledku
Projekt
<a href="/cs/project/LQ1601" target="_blank" >LQ1601: CEITEC 2020</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Spectrochimica Acta Part B
ISSN
0584-8547
e-ISSN
—
Svazek periodika
126
Číslo periodika v rámci svazku
6
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
5
Strana od-do
6-10
Kód UT WoS článku
000390642300002
EID výsledku v databázi Scopus
2-s2.0-84992179515