Genetic algorithm for obtaining potential energy curve of diatomic molecules based on dispersed fluorescence spectra

基于分散荧光光谱的双原子分子势能曲线遗传算法

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Abstract

The method for reconstruction of an adiabatic potential energy curve from experimental dispersed fluorescence spectra has been developed. The novelty of the method relies on a unique approach of simultaneous use of [Formula: see text] and [Formula: see text] parts of the spectrum. The method is based on the Genetic Algorithm (GA) procedure and determines potential energy curve integrally, below and above the dissociation energy limit. The method was tested on the artificially generated reference spectrum as well as experimental spectrum of [Formula: see text] transition in Hg[Formula: see text]. The tests show very good accuracy of simulation based on GA results with artificially generated reference spectrum as well as with the experimental one.

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