Stark width regularities within spectral series of the lithium isoelectronic sequence

Tapalaga, Irinel; Trklja, Nora; Dojčinović, I. P.; Purić, J.

doi:10.1093/mnras/stx3114

Cited by 5 publications

(3 citation statements)

References 34 publications

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“…Comparing the great amount of Stark width data from STARK-B database (Sahal-Bréchot et al, 2014b, Purić offered so-called "generalized" estimate (Purić, Šćepanović, 1999) which should be used, according to the authors, "to calculate Stark line widths of the multiply charged ion of different elements along the periodic table." These scientific articles evolve over time, so Purić and co-workers later give up searching for a universal formula for all lines and focus their statistical analysis only on individual homologous or isoelectronic series (Dojčinović et al, 2011(Dojčinović et al, , 2012(Dojčinović et al, , 2013aTapalaga et al, 2011Tapalaga et al, , 2018Jevtić et al, 2012;Trklja et al, 2019b,a). However, the possibility to apply all of these estimates to predict new unknown Stark widths should be furtherly discussed (Majlinger et al, 2017a(Majlinger et al, ,b, 2020b.…”

Section: Simple Cluster and Multiple Regression Analysismentioning

confidence: 99%

New perspectives in the analysis of Stark width regularities and systematic trends

Majlinger,

Traparić

2023

caosp

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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.

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Section: Simple Cluster and Multiple Regression Analysismentioning

confidence: 99%

New perspectives in the analysis of Stark width regularities and systematic trends

Majlinger,

Traparić

2023

caosp

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“…Dependences of Stark widths on the upper level ionization potential have been investigated for N I-N V [51,68], O I-O VI [53,68], Ne I-Ne VI [65,68], Ar III, Ar IV [65], Cl II, Cl III, Cl IV, F I-F IV [66,69], Kr I-Kr IV, Xe I, Xe II, Xe III [67], Si I-Si IV [68,69], and C IV [69] spectral lines, within different spectral series of neutral beryllium [60], lithium [62,64], and sodium [63,64] isoelectronic sequences. These data were used for the consideration of general regularities of Stark broadening parameters for ion lines [70], Stark parameter regularities of multiply charged ion spectral lines originating from the same transition array [73], and for checking the dependence on the upper level ionization potential of electron impact widths using quantum calculations [75].…”

Section: Regularities and Systematic Trendsmentioning

confidence: 99%

Forty Years of the Applications of Stark Broadening Data Determined with the Modified Semiempirical Method

Dimitrijević

2020

Data

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The aim of this paper is to analyze the various uses of Stark broadening data for non-hydrogenic lines emitted from plasma, obtained with the modified semiempirical method formulated 40 years ago (1980), which are continuously implemented in the STARK-B database. In such a way one can identify research fields where they are applied and better see the needs of users in order to better plan future work. This is done by analysis of citations of the modified semiempirical method and the corresponding data in international scientific journals, excluding cases when they are used for comparison with other experimental or theoretical Stark broadening data or for development of the theory of Stark broadening. On the basis of our analysis, one can conclude that the principal applications of such data are in astronomy (white dwarfs, A and B stars, and opacity), investigations of laser produced plasmas, laser design and optimization and their applications in industry and technology (ablation, laser melting, deposition, plasma during electrolytic oxidation, laser micro sintering), as well as for the determination of radiative properties of various plasmas, plasma diagnostics, and investigations of regularities and systematic trends of Stark broadening parameters.

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“…Influence of electron density and temperature on Stark broadening of spectral lines, within spectral series of potassium isoelectronic sequence, have been studied before Equation (1) has been applied in regularity analyzing procedure. Regularity approach used in present paper has been successfully applied previous articles of our group [8][9][10][11][12][13][14][15], where other emitters were analyzed.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Stark Widths Regularities Within: ns-np, np-ns, np-nd, nd-np and nd-nf Spectral Series of Potassium Isoelectronic Sequence

Trklja

Dojčinović

Tapalaga

et al. 2019

Atoms

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Results presented in this paper show a regular behaviour of Stark widths within the studied spectral series of potassium isoelectronic sequence. These regularities have been found and verified on the basis of the existing theoretical and experimental data being normalized for the same plasma conditions (chosen electron density and temperature). Using the available set of data the corresponding formulas expressing the Stark widths of the lines originated from the spectral series studied here as a function of the upper-level ionization potential and the rest core charge of the emitter seeing by the electron undergoing transition, are obtained here. Well established and verified dependence is used to calculate Stark width data needed but not available so far. For the purposes of the operation with a large number of data, algorithms for the analysis of Stark width dependence on temperature and electron density and for the investigation of the assumed correlation between Stark width and ionization potential of the upper level of analyzed transition, have been made. Developed algorithms enable fast data processing.

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Stark width regularities within spectral series of the lithium isoelectronic sequence

Cited by 5 publications

References 34 publications

New perspectives in the analysis of Stark width regularities and systematic trends

New perspectives in the analysis of Stark width regularities and systematic trends

Forty Years of the Applications of Stark Broadening Data Determined with the Modified Semiempirical Method

Stark Widths Regularities Within: ns-np, np-ns, np-nd, nd-np and nd-nf Spectral Series of Potassium Isoelectronic Sequence

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