Open AccessValidity of the deconvolution method for multicomponent spectral lines
Author(s) -
Natalia Zorina,
Gita Rēvalde,
Atis Skudra
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1289/1/012045
Subject(s) - deconvolution , tikhonov regularization , regularization (linguistics) , inverse , spectral line , blind deconvolution , computational physics , inverse problem , algorithm , physics , computer science , mathematics , mathematical analysis , artificial intelligence , astronomy , geometry
In this paper, we present a study of the validation of the deconvolution procedure for multicomponent overlapping spectral line profiles. The solution of the ill-posed inverse task was implemented using the Tikhonov regularization algorithm. For this study, both, theoretically modelled and experimentally measured 253.7 nm mercury spectral line profiles were used, emitted from high-frequency electrodeless lamps.