2018
DOI: 10.3390/atoms6030043
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Automodel Solutions of Biberman-Holstein Equation for Stark Broadening of Spectral Lines

Abstract: Abstract:The accuracy of approximate automodel solutions for the Green's function of the Biberman-Holstein equation for the Stark broadening of spectral lines is analyzed using the distributed computing. The high accuracy of automodel solutions in a wide range of parameters of the problem is shown.

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Cited by 7 publications
(20 citation statements)
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“…The results of the modification of the simplest automodel solution via modification of the propagation front in the framework of optimizing the parameters of interpolation between the known asymptotics of the exact solution show that there is a much freedom for such modifications to achieve the main goal of approximate automodel solutions for the Lévy flights-based transport and of various extensions of the principles [18], namely the construction of approximate solutions of superdiffusive transport problems with high enough accuracy with essential savings of computation time. Indeed, as shown in [22] and [23] for the case of Lévy flights transport, obtaining automodel (self-similar) solutions in the entire space of independent variables requires mass numerical simulations (distributed computing), however, their total volume is significantly reduced due to the self-similarity of the solution.…”
Section: Discussionmentioning
confidence: 99%
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“…The results of the modification of the simplest automodel solution via modification of the propagation front in the framework of optimizing the parameters of interpolation between the known asymptotics of the exact solution show that there is a much freedom for such modifications to achieve the main goal of approximate automodel solutions for the Lévy flights-based transport and of various extensions of the principles [18], namely the construction of approximate solutions of superdiffusive transport problems with high enough accuracy with essential savings of computation time. Indeed, as shown in [22] and [23] for the case of Lévy flights transport, obtaining automodel (self-similar) solutions in the entire space of independent variables requires mass numerical simulations (distributed computing), however, their total volume is significantly reduced due to the self-similarity of the solution.…”
Section: Discussionmentioning
confidence: 99%
“…For the time-dependent superdiffusive transport by the Lévy flights, recently a wide class of the transport on a uniform background was shown [18][19][20][21][22][23] to possess an approximate automodel solution. The solutions for the Green's function were constructed using the scaling laws for the propagation front (i.e.…”
Section: Introductionmentioning
confidence: 99%
“…Note that N(0) = 1 (this follows from the definition of the source in the Equation ( 35) for the Green's function); therefore, N(t) is the fraction of excited particles in the total number of particles in the medium or the fraction of migrants at rest in the total number of migrants. The result (45) means that the number of excited particles (or migrants at rest) can tend to either zero or nonzero constant, highly depending on γ of the model step-length PDF (37), (26). For γ = 0.5, Equation ( 45) coincides within a constant with the scaling law obtained in [6] (see (18) therein for β = 1/4).…”
Section: Integral Characteristics Of Green's Functionmentioning
confidence: 74%
“…It appears that the use of the propagation front (7) in the case of the spectral line shape, which is a convolution of two substantially different line shapes (e.g., for the Voigt line shape), leads to a noticeable decrease in accuracy [45]. Therefore, an alternative definition of the propagation front was proposed, which provides good accuracy for a wider class of spectral line shapes:…”
Section: Propagation Front and Asymptotics Of Biberman-holstein Equation Green's Functionmentioning
confidence: 99%
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