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Description
The alignment of each analyzer position in X-ray Raman Scattering (XRS) setup requires a great deal of time, therefore using the optimization approaches is necessary. In this study, Non-dominating Sorting Genetic Algorithm-II (NSGA-II) was used on 101 images from detectors while positioning each analyzer. The images first filtered through 2D Gaussian filter to obtain a cloud of dots representing the spread of the X-ray, then spot size and flux values were optimized first separately and later simultaneously. Flux is related to the amplitude of the Gaussian distribution of the spread of the rays, whereas spot size is related to the sigma values on the vertical axis x and the horizontal axis y. The first results show that minimum sigma-x, sigma-y values and maximum amplitude are provided at different positions, thus NSGA-II is run on multi-objective mode. Pareto set is found with six elements.
