Dynamic Stark broadening as the Dicke narrowing effect

Calisti, A.; Mossé, C.; Ferri, S.; Talin, B.; Rosmej, F. B.; Bureyeva, L. A.; Lisitsa, V. S.

doi:10.1103/physreve.81.016406

Cited by 55 publications

(68 citation statements)

References 22 publications

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“…To assess the applicability of the proposed model for interpretation of diagnostic data, we employ the PPP-B code [22] as a benchmark. A reformulation of the original PPP code based on the frequency fluctuation model (FFM) [23,24], the PPP-B code extends the calculations to magnetised plasmas by considering both the Stark and Zeeman perturbations on the evolution operator of the emitter, and has been validated with full numerical simulations of the line shape function in the radiative dipole approximation for a set of ions and electrons moving along straight trajectories (see [22] and references therein). The line profile calculation in PPP-B is carried out by first establishing the static profile, in which electrons are treated in the impact approximation and ions in the quasi-static approximation, with the static electric field integrated over the microfield distribution function and across the directions parallel and perpendicular to the magnetic field direction.…”

Section: Line Profile Modelmentioning

confidence: 99%

Inferring divertor plasma properties from hydrogen Balmer and Paschen series spectroscopy in JET-ILW

et al. 2015

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The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Abstract.A parametrised spectral line profile model is formulated to investigate the diagnostic scope for recovering plasma parameters from hydrogenic Balmer and Paschen series spectroscopy in the context of JET-ILW divertor plasmas. The separate treatment of Zeeman and Stark contributions in the line model is tested against the PPP-B code which accounts for their combined influence on the spectral line shape. The proposed simplified model does not fully reproduce the Stark-Zeeman features for the α and β transitions, but good agreement is observed in the line width and wing profiles, especially for n >5. The line model has been applied to infer radial density profiles in the JET-ILW divertor with generally good agreement between the D 5→2, 5→3, 6→2, 7→2 and 9→2 lines for high recycling and detached conditions. In an L-mode detached plasma pulse the Langmuir probe measurements typically underestimated the density by a factor 2-3 and overestimated the electron temperature by a factor of 5-10 compared to spectroscopically derived values. The line model is further used to generate synthetic high-resolution spectra for low-n transitions to assess the potential for parameter recovery using a multi-parametric fitting technique. In cases with 4 parameter fits with a single Maxwellian neutral temperature component the D 4→3 line yields the best results with parameter estimates within 10% of the input values. For cases with 9 parameter fits inclusive of a multi-component neutral velocity distribution function the quality of the fits is degraded. Simultaneous fitting of the D 3→2 and 4→3 profiles improves the fit quality significantly, highlighting the importance of complementary spectroscopic measurements for divertor plasma emission studies.

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Section: Line Profile Modelmentioning

confidence: 99%

Inferring divertor plasma properties from hydrogen Balmer and Paschen series spectroscopy in JET-ILW

et al. 2015

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“…A proper description of physical broadening mechanisms [8] requires a simultaneous treatment of Stark and Zeeman effects, which was performed by Ferri et al [9] in the framework of the Frequency Fluctuation Model [10]. In the case of an atom (ion) having several open sub-shells, the number of electric dipolar lines can be immense and the anomalous Zeeman pattern is a superposition of many profiles.…”

Section: Magnetic Field B (Mg)mentioning

confidence: 99%

Characterization of anomalous Zeeman patterns in complex atomic spectra

Pain

Gilleron

2012

Phys. Rev. A

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The modeling of complex atomic spectra is a difficult task, due to the huge number of levels and lines involved. In the presence of a magnetic field, the computation becomes even more difficult. The anomalous Zeeman pattern is a superposition of many absorption or emission profiles with different Zeeman relative strengths, shifts, widths, asymmetries and sharpnesses. We propose a statistical approach to study the effect of a magnetic field on the broadening of spectral lines and transition arrays in atomic spectra. In this model, the σ and π profiles are described using the moments of the Zeeman components, which depend on quantum numbers and Landé factors. A graphical calculation of these moments, together with a statistical modeling of Zeeman profiles as expansions in terms of Hermite polynomials are presented. It is shown that the procedure is more efficient, in terms of convergence and validity range, than the Taylor-series expansion in powers of the magnetic field which was suggested in the past. Finally, a simple approximate method to estimate the contribution of a magnetic field to the width of transition arrays is proposed. It relies on our recently published recursive technique for the numbering of LS-terms of an arbitrary configuration.

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“…This code has been designed for calculating the profile of spectral lines emitted by multi-electron ionic emitters in hot and dense plasmas. The Stark broadening is taken into account in the framework of the standard theory by using the static ion approximation and an impact approximation for the electrons, or including the effects of ionic perturber dynamics by using the Fluctuation Frequency Model [22,23] when the static approximation fails. The atomic data required for the calculation are extracted from an external atomic structure code [24].…”

Section: Spectral Line Shape Modelingmentioning

confidence: 99%

Line profiles of Ni-like collisional XUV laser amplifiers: Particle correlation effects

Calisti

Ferri

Mossé

et al. 2013

High Energy Density Physics

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We present a detailed analysis of the different processes that contribute to the spectral broadening of the Ni-like Ag XUV laser line, including the effects of particle correlations on the broadening due to the radiator motion (Doppler broadening). We consider two different regimes of collisional excitation pumping: the transient pumping for which ionic temperature is relatively low (the plasma coupling parameter is large), and the quasi steady-state pumping for which the ionic temperature is higher and the plasma coupling parameter is of the order of 1. In both cases, by using classical molecular dynamics simulation techniques, we show that ionic correlations actually modify the radiatormotion broadened profiles and cannot be neglected in evaluating the Doppler effect. The subsequent narrowing of the Doppler component is small compared to the overall linewidth, which includes the effect of homogeneous collisional broadening. However ionic correlations will also affect the amplification of the lasing line, especially when the laser enters the saturation regime, because it will lead to an homogenization of the spectral profile.

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Dynamic Stark broadening as the Dicke narrowing effect

Cited by 55 publications

References 22 publications

Inferring divertor plasma properties from hydrogen Balmer and Paschen series spectroscopy in JET-ILW

Inferring divertor plasma properties from hydrogen Balmer and Paschen series spectroscopy in JET-ILW

Characterization of anomalous Zeeman patterns in complex atomic spectra

Line profiles of Ni-like collisional XUV laser amplifiers: Particle correlation effects

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