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SEMI-AUTOMATIC ELEMENTAL IDENTIFICATION AND QUANTIFICATION BY LASER-INDUCED BREAKDOWN SPECTROSCOPY
Ignacio Raúl Rosas Román
MARCO ANTONIO MENESES NAVA
Acceso Abierto
Atribución-NoComercial-SinDerivadas
LIBS, PLASMA, CALIBRATIONFREE, PCA, ELEMENTAL IDENTIFICATION
"This thesis has shown the feasibility of measuring both low-frequency Raman and Laser-Induced Breakdown Spectra in a single instrument. On the other hand Elemental identification is the basis of any chemical analysis but until now, the available methodologies for processing LIBS signals required a great deal of effort to implement and not always provide adequate results. The proposed Wavelength Similarity Coefficient method could change this scenario because it is a straightforward method based in some often overlooked facts, as the temperature dependence of the spectral line relevance and the use of a simplified modeling for the plasma’s line heights. Finally, obtaining the individual emission line parameters form the measured spectrum is a fundamental step in the quantitative analysis. A new approach was introduced in this work, aimed to solve some drawbacks of the Levenberg-Marquardt method, as the convergence and line energy overestimates, which potentially leads to wrong elemental composition."
2017-09
Tesis de doctorado
Inglés
León, Guanajuato
Público en general
Rosas Román, (2017). "Semi-Automatic Elemental Identification and Quantification by Laser–Induced Breakdown Spectroscopy". Tesis de Doctorado en Ciencias (Óptica). Centro de Investigaciones en Óptica, A.C. León, Guanajuato. 110 pp.
OPTICA FÍSICA
Aparece en las colecciones: DOCTORADO EN CIENCIAS (ÓPTICA)

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