We developed the experimental response function (ERF) which can be used for the numerical curve fitting analysis in photoelectron spectroscopy (PES). We selected the core-levels of Ag 3d_(5/2) and Au 4f_(7/2) to obtain the ERF because the parameters c...
We developed the experimental response function (ERF) which can be used for the numerical curve fitting analysis in photoelectron spectroscopy (PES). We selected the core-levels of Ag 3d_(5/2) and Au 4f_(7/2) to obtain the ERF because the parameters characterizing the intrinsic line-shape have been known well. Relying on the numerical fourier transformation we deconvoluted the ERF from the measured core-level spectra. For the numerical fourier transformation we applied the fast transform (FFT) algorithm. We considered optimal (Wiener) filtering with the FFT due to noise and used Hann window function to remedy the information leakage in frequency domain due to discrete and finite sampling of measurement. The comparison of the curve fitting results using the ERF obtained in this work and the mathematical response function with a gaussian in the conventional approach shows clearly the improvement of the curve fitting analysis.