Application of Deep Neural Network in Finding of Repulsive Part of Molecular Potential Based on Dispersed Emission Spectra

P. Gosza, M. Krośnickia, J. Koperskib, T. Urbańczykb aInstitute of Theoretical Physics and Astrophysics, University of Gdańsk, Wita Stwosza 57, 80-308 Gdańsk, Poland bSmoluchowski Institute of Physics, Jagiellonian University, Łojasiewicza 11, 30-348 Kraków, Poland

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A new method of obtaining parameters of the repulsive part of the analytical potential energy curve of a diatomic molecule, based on the deep neural network approach, is presented. The method was successfully tested on artificially created spectra as well as an experimental bound→free spectrum of the G0u+(61P1)(υ'=39)→X0g+ transition in Hg2. The method was tested for a Morse and four-parameter expanded Morse oscillator potentials but can be easily adaptable to other forms of analytical potential energy curves.

DOI:10.12693/APhysPolA.141.81 topics: deep neural network, dispersed emission spectra, potential energy curve parameters