We report on an application of a simultaneous perturbation stochastic approximation (SPSA) algorithm to filtering systematic noise (SN) with nonzero mean value in photoemission data. In our analysis, we have used a series of 50 single-scan photoemission spectra of W(110) surface where different SNs were added. It was found that the SPSA-evaluated spectrum is in good agreement with the spectrum measured without SN. On the basis of our results, a wide application of SPSA algorithm for evaluation of experimental data is anticipated.
Method of measurements with random perturbation: Application in photoemission experiments
D. S. Fedin, O. N. Granichin, Yu. S. Dedkov, S. L. Molodtsov; Method of measurements with random perturbation: Application in photoemission experiments. Rev. Sci. Instrum. 1 March 2008; 79 (3): 036103. https://doi.org/10.1063/1.2890515
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