Stark Widths Regularities Within: ns-np, np-ns, np-nd, nd-np and nd-nf Spectral Series of Potassium Isoelectronic Sequence
| Autor: | Irinel Tapalaga, I. P. Dojčinović, Jagoš Purić, Nora Trklja |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
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Nuclear and High Energy Physics Electron density Core charge atomic and molecular databases 02 engineering and technology Electron 01 natural sciences Astronomical spectroscopy stellar spectra 0103 physical sciences atomic data lcsh:Nuclear and particle physics. Atomic energy. Radioactivity Physics::Atomic Physics 010303 astronomy & astrophysics Physics Function (mathematics) Plasma 021001 nanoscience & nanotechnology Condensed Matter Physics Atomic and Molecular Physics and Optics lcsh:QC770-798 Ionization energy Atomic physics 0210 nano-technology Hydrogen spectral series |
| Zdroj: | Atoms Volume 7 Issue 4 Atoms, Vol 7, Iss 4, p 99 (2019) |
| ISSN: | 2218-2004 |
| DOI: | 10.3390/atoms7040099 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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