65th SAMS Congress
06-08 December 2022
Stellenbosch University
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Analyze and visualize the cathodoluminescence data obtained from images of a photovoltaic cell.
Mienie Roberts\(^*\), Taylor Harvey, Aida Torabi, and James Sullivan
Texas A&M University-Central Texas

SAMS Subject Classification Number: 12

We created a Shiny application using the R software to analyze and visualize the cathodoluminescence data obtained from images of a photovoltaic cell. The Graphical User Interface can import data, create a heatmap to indicate high quality crystal structure, and output several variables of interest. We also developed a spectra data analysis algorithm to functionalize, analyze, and generate statistical measurements of the luminescence data to provide additional insight. This algorithm was coded in the R language program and a set of CdMgSeTe films were studied as an application case study. CL maps were measured for samples with different luminescent responses. A quantitative measure of the heterogeneity of the films was generated by statistical analysis of luminescent intensity and wavelength, spectra type curves, frequency distributions of peak wavelength, and relative intensity maps. The final CL analysis facilitates investigation of the CdMgSeTe films and has potential applications for many semiconductor films.