Ultraviolet Atomic Data Assessment from Astrophysical Observations. I. A Comparative Study of Evolutionary Algorithms

Abstract Accurate atomic parameters are essential for reliable spectral synthesis, particularly in the ultraviolet range, where line blending and parameter degeneracy pose significant challenges. In this feasibility test, we apply different optimization techniques to calibrate the atomic data of central wavelength, oscillator strength and damping parameters by minimizing the difference between the synthetic and reference spectra. We compare the performance of Genetic Algorithm (GA), Differential