2010
DOI: 10.1155/2010/374372
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Time Ordering Effects on Hydrogen Zeeman-Stark Line Profiles in Low-Density Magnetized Plasmas

Abstract: Stark broadening of hydrogen lines is investigated in low-density magnetized plasmas, at typical conditions of magnetic fusion experiments. The role of time ordering is assessed numerically, by using a simulation code accounting for the evolution of the microscopic electric field generated by the charged particles moving at the vicinity of the atom. The Zeeman effect due to the magnetic field is also retained. Lyman lines with a low principal quantum number n are first investigated, for an application to opaci… Show more

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Cited by 3 publications
(4 citation statements)
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“…( 1), to describe the function g (ω − ω 0 ). Specifically, take [34] where p (x, µ, σ, ν) is defined by the Eq. ( 1).…”
Section: Intermediatementioning
confidence: 99%
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“…( 1), to describe the function g (ω − ω 0 ). Specifically, take [34] where p (x, µ, σ, ν) is defined by the Eq. ( 1).…”
Section: Intermediatementioning
confidence: 99%
“…We import a set of data of hydrogen Zeeman-Stark line broadening from Figure 2 (b) in Ref. [34] and fit them with the intermediate, Cauchy, and Gaussian distribution, respectively. The data and the fitting results are plotted in Figure 3.…”
Section: Intermediatementioning
confidence: 99%
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“…Rosato et al (2009) have reexamined the Stark broadening of hydrogen lines in the presence of a magnetic field and developed an impact theory for ions, valid for low electron densities (N e 10 14 cm −3 ), which takes into account the Zeeman splitting of the atomic energy levels. Rosato et al (2010) have also studied numerically the role of time ordering in such plasmas, by using a simulation code that accounts for the evolution of the microscopic electric field generated by the charged particles moving close to the atom. Calisti et al (2010) have developed a very fast method to account for the dynamical effects of charged particles on the spectral line shape emitted by plasmas, based on a formulation of the frequency fluctuation model.…”
Section: Stark Broadeningmentioning
confidence: 99%