CAOSP abstracts, Volume: 53, No.: 3, year: 2023

Author(s): Majlinger, Z.; Traparić, I.
Journal: Contributions of the Astronomical Observatory Skalnaté Pleso, vol. 53, no. 3, p. 58-71.
Date: 12/2023
Title: New perspectives in the analysis of Stark width regularities and systematic trends
Keyword(s): line profile, Stark broadening, atomic data, machine learning
Pages: 58 -- 71
DOI: https://doi.org/10.31577/caosp.2023.53.3.58
NASA ADS Abstract Service: 2023CoSka..53c..58M
Citation:
License: This work is licensed under a Creative Commons Attribution 4.0 International License

Abstract: Regularites and systematic trends among the sample of Stark widths obtained by using modified semiempirical method from the STARK-B database were analysed. Two different approaches are independently used - multiple regression method combined with simple cluster analysis, and random forest (RF) machine learning algorithm. Predicted values of Stark widths calculated with estimate formulae obtained from multiple regression method, and those values predicted by using RF algorithm, were compared with already known corresponding experimental Stark widths published elsewhere. Results of this analysis indicate that both of these methods can mostly predict new Stark width values within the acceptable range of accuracy.