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Progress towards an unassisted element identification from Laser Induced Breakdown Spectra with automatic ranking techniques inspired by text retrieval |
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| Authors: | G Amato G Cristoforetti S Legnaioli G Lorenzetti V Palleschi F Sorrentino E Tognoni |
| Institution: | 1. ISTI-CNR, Area della Ricerca, Via Moruzzi 1, 56124, Pisa, Italy;2. IPCF-CNR, Area della Ricerca, Via Moruzzi 1, 56124, Pisa, Italy;3. Dipartimento di Fisica e astronomia, Università di Firenze, Polo Scientifico, via Sansone 1, 50019 Sesto Fiorentino (FI), Italy;4. Istituto di Cibernetica CNR, via Campi Flegrei 34, 80078 Pozzuoli (NA), Italy;5. Marwan Technology, c/o Dipartimento di Fisica “E. Fermi”, Largo Pontecorvo 3, 56127 Pisa, Italy;6. INO-CNR, Area della Ricerca, Via Moruzzi 1, 56124 Pisa, Italy |
| Abstract: | In this communication, we will illustrate an algorithm for automatic element identification in LIBS spectra which takes inspiration from the vector space model applied to text retrieval techniques. The vector space model prescribes that text documents and text queries are represented as vectors of weighted terms (words). Document ranking, with respect to relevance to a query, is obtained by comparing the vectors representing the documents with the vector representing the query. |
| Keywords: | Automatic processing Element identification Ranking techniques LIBS Spectral analysis |
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