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Title: Big data analysis applied to EEL spectroscopy
Author: Sospedra Ramírez, Joan
Director/Tutor: Estradé Albiol, Sònia
Blanco Portals, Javier
Keywords: Espectroscòpia de pèrdua d'energia d'electrons
Dades massives
Treballs de fi de grau
Electron energy loss spectroscopy
Big data
Bachelor's theses
Issue Date: Jun-2018
Abstract: In order to characterize an unknown sample, big data and machine learning methods are proposed. An electron energy loss (EEL) spectrum image obtained in the transmission electron microscope is analyzed. Applying principal component analysis (PCA) to image EEL spectra, the noise present in the raw data can be discarded, and comparing with existing datasets and alternatively through clustering analysis, the presence of vanadium and oxygen in the sample over a substrate with lanthanum and oxygen can be recognized
Note: Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2018, Tutors: Sonia Estradé Albiol, Javier Blanco Portals
Appears in Collections:Treballs Finals de Grau (TFG) - Física

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