Numerical model to extract materials properties map from spectrally resolved luminescence images

The authors present a numerical model to investigate spectrally resolved photoluminescence images. For each image location, the complete luminescence spectrum is modeled to extract absorption properties as well as thermodynamic properties such as the temperature and the quasi-Fermi level splitting. Not only the whole spectral information is used but also the spatial information is taken into account to reduce the uncertainty in the determination. The validity of the method is discussed to get rid of any ambiguity that could be inherent to fitting procedures with multi-parameters. The authors apply the method to CIGS polycrystalline thin films solar cells. Results will be discussed (such as correlation between parameters) and compared to previous results and other methods.