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Description
  • Není k dispozici (cs)
  • This paper will present a novel genetic-algorithm-based code (GASPED), developed for the analysis of fine features (e.g., satellite structure and line shifts) in X-ray spectra emitted by hot dense plasmas. The problem dependent modification of standard genetic-algorithm concepts allows efficient decomposition of spectra in concrete physical terms, such as resonance and intercombination lines, dielectronic satellites, or prospective nuclear transitions. Two examples of the code application demonstrate the proposed approach. High resolution K-shell spectra emitted from He-and Li-like Al ions immersed in dense, constrained-flow plasma are decomposed into individual pseudo-Voigt components, by using anticipatory theoretical knowledge of the satellite structure simulated by the multilevel collisional-radiative code (MARIA). Line shifts of the He-like resonance and intercombination line are deduced assuming the aggregate plasma-induced shifts of the parent lines and their satellites.
  • This paper will present a novel genetic-algorithm-based code (GASPED), developed for the analysis of fine features (e.g., satellite structure and line shifts) in X-ray spectra emitted by hot dense plasmas. The problem dependent modification of standard genetic-algorithm concepts allows efficient decomposition of spectra in concrete physical terms, such as resonance and intercombination lines, dielectronic satellites, or prospective nuclear transitions. Two examples of the code application demonstrate the proposed approach. High resolution K-shell spectra emitted from He-and Li-like Al ions immersed in dense, constrained-flow plasma are decomposed into individual pseudo-Voigt components, by using anticipatory theoretical knowledge of the satellite structure simulated by the multilevel collisional-radiative code (MARIA). Line shifts of the He-like resonance and intercombination line are deduced assuming the aggregate plasma-induced shifts of the parent lines and their satellites. (en)
Title
  • Genetic algorithms in spectroscopic diagnostics of hot dense plasmas
  • Genetic algorithms in spectroscopic diagnostics of hot dense plasmas (en)
  • Použití genetického algoritmu ve spektroskopické diagnostice hustého horkého plazmatu (cs)
skos:prefLabel
  • Genetic algorithms in spectroscopic diagnostics of hot dense plasmas
  • Genetic algorithms in spectroscopic diagnostics of hot dense plasmas (en)
  • Použití genetického algoritmu ve spektroskopické diagnostice hustého horkého plazmatu (cs)
skos:notation
  • RIV/68407700:21340/06:04125937!RIV07-GA0-21340___
http://linked.open.../vavai/riv/strany
  • 511;518
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA202/06/0697), P(GA202/06/0801), Z(AV0Z10100523), Z(MSM6840770022)
http://linked.open...iv/cisloPeriodika
  • 4
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 476849
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21340/06:04125937
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • X-ray X-ray spectroscopy; dielectronic satellites; genetic algorithm; line line shifts; photo-nuclear excitation; spectral decomposition (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [F0BAA7C8F311]
http://linked.open...i/riv/nazevZdroje
  • Laser and Particle Beams
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 24
http://linked.open...iv/tvurceVysledku
  • Adámek, Petr
  • Rosmej, F. B.
  • Drška, Ladislav
  • Renner, O.
  • Wyart, J. F.
http://linked.open...n/vavai/riv/zamer
issn
  • 0263-0346
number of pages
http://localhost/t...ganizacniJednotka
  • 21340
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