Semi-Automatic Elemental Identification of Laser-Induced Breakdown Spectra Using Wavelength Similarity Coefficient. 2017

Igancio Rosas-Román, and Marco A Meneses-Nava, and Oracio Barbosa-García, and Jose L Maldonado
Centro de Investigaciones en Optica A.C., Guanajuato, Mexico.

This work proposes a method to perform elemental identification on plasmas produced using the laser-induced breakdown spectroscopy (LIBS) technique. The method is based on the preservation of the relative relevance of the spectral line emission intensities, which is lost during the parametric correlation procedure, by the introduction of a similitude coefficient called wavelength similarity coefficient. Furthermore, it was shown that for identification purposes, a simplified plasma model is sufficient to predict adequately the relative emission intensities in LIBS plasmas. As a result, it is possible to automatically identify the species with high emission signals, while trace detection is also possible by relaxing search conditions, although manual refinement is still required.

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