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A superconfiguration model for broadband spectroscopy of non-LTE plasmas

Authors: O Peyrusse;

A superconfiguration model for broadband spectroscopy of non-LTE plasmas

Abstract

We present an atomic physics package called AVERROES/TRANSPEC for studying plasma spectroscopy of complex L-, M-shell emitters or even core-excited multielectron K-shell emitters. The model, which is also intended to give some insights on ionization properties of M-shell ionized plasmas, is divided into two parts. The first part (AVERROES) is based on the superconfiguration concept and on the supertransition array method. It generates superconfiguration average-energies, collisional and radiative rates needed for a calculation of population kinetics. It also calculates the statistical shift and width associated with each possible radiative electron jump between selected superconfigurations. All the previously mentioned quantities are stored on files readable by a multicell time-dependent collisional-radiative model (TRANSPEC) that calculates population kinetics and synthetic emission spectra. This last code can be employed with a hydrodynamics code to provide simulated x-ray ouputs of non-steady-state inhomogeneous plasmas.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
83
Top 10%
Top 10%
Top 10%
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