Raman Scattering Data Fitting using MATLAB for GaN Samples
Disciplines
Atomic, Molecular and Optical Physics | Other Electrical and Computer Engineering
Abstract (300 words maximum)
Raman scattering spectroscopy is a powerful technique for analyzing the vibrational modes of molecules. However, analyzing the resulting data can be at times challenging. MATLAB provides a range of tools and functions for data analysis, visualization, and modeling that are particularly useful for Raman scattering data. We review the basics of Raman scattering and describe how MATLAB can be used to fit spectra for GaN specifically the E2 (High) and A1 (LO) modes, interpret the results, and perform calculations for further information about the sample. From the results, electrical properties such as the carrier concentration of GaN can be achieved. Overall, we conclude that MATLAB is a valuable tool for Raman scattering data analysis, providing researchers with a powerful and flexible platform for exploring complex molecular systems.
Academic department under which the project should be listed
SPCEET - Electrical and Computer Engineering
Primary Investigator (PI) Name
Zhe Feng
Raman Scattering Data Fitting using MATLAB for GaN Samples
Raman scattering spectroscopy is a powerful technique for analyzing the vibrational modes of molecules. However, analyzing the resulting data can be at times challenging. MATLAB provides a range of tools and functions for data analysis, visualization, and modeling that are particularly useful for Raman scattering data. We review the basics of Raman scattering and describe how MATLAB can be used to fit spectra for GaN specifically the E2 (High) and A1 (LO) modes, interpret the results, and perform calculations for further information about the sample. From the results, electrical properties such as the carrier concentration of GaN can be achieved. Overall, we conclude that MATLAB is a valuable tool for Raman scattering data analysis, providing researchers with a powerful and flexible platform for exploring complex molecular systems.