The broadening of spectral lines by a plasma is due to the interactions between the radiating element and the free ions and electrons of the plasma. These two contributions can be described in terms of interaction potentials with the corresponding electronic and ionic plasma microfields. These microfields are stochastic processes, whose static properties are described by distribution functions P(E). In the Model Microfield Method Frisch & Brissaud (1971), the dynamics of the microfield fluctuations are treated by a statistical process model where the microfield (electronic or ionic) is assumed to be constant during a given time interval. The microfield then jumps instantaneously to another constant value for the next time interval. The jumping times follow Poisson statistics, with a field dependent frequency . The calculation requires the knowledge of the electronic and ionic field distribution functions, for which Hooper's distribution functions (Hooper 1966; Hooper 1968) were used. The other input parameter required is the jumping frequency , which is chosen so as to reproduce the field autocorrelation function correctly Brissaud & Frisch (1971); Stehlé (1994b).
This model is the only universal model, currently available, which can
reproduce correctly both the line widths and the intensity profile in
the line wings. However, in the line centre, it might be
interesting to compare the MMM linewidths with the results
of computer simulations Gigosos & Cardenoso (1996);
Cardenoso & Gigosos (1997), which do not
include the Doppler broadening.
Such simulations can reach accurate results for the line width.
On the other hand, they suffer from two limitations, neither of which
affect MMM modelling. First, perturbing charges
(electrons and ions) are assumed to move along straight lines,
which is incorrect at high densities. Secondly,
the numerical procedure converges with difficulty at low
densities and in the line wings, where the contributions of rare
close interactions become important.
The present calculation, summarized below, follows the procedure already described by Stehlé (1994a, 1994b). Let the initial and final states of the optical transition be denoted by i,i'... and f, f'..., (with energies Ei, Ei', Ef, Ef'). The line profile, normalized to unit area, , is defined in the Liouville space spanned by the states |if>> by
(1) |
We shall use the "no quenching approximation", which means that the interactions between the plasma and the radiating element mix together only those eigenstates belonging to the same principal quantum number. Neither do we include the fine structure effects. Thus .
The typical fluctuation times of the ionic and electronic microfields, respectively given by the inverse of the electronic and ionic plasma frequencies , are very different. Thus, during an interval of constancy of the ionic microfield , the electronic microfield presents large time fluctuations. This justifies averaging the evolution operator over these electronic fluctuations for a given ionic microfield value. The procedure has been applied to the Model Microfield Method by Brissaud & Frisch (1971) and discussed by Frerichs (1989). It requires first calculating, for the static ionic microfield , the evolution operator , averaged over electrons, and then performing the dynamical MMM average over the ions.
In practice, we express
in terms of the frequency dependent relaxation
operator
(Greene 1982) defined by
(2) |
It is thus equivalent whether we calculate or . We shall suppose that is independent of the ionic microfield value, or . This approximation is justified because the linear ionic splitting is almost negligible compared to the electronic plasma frequency.
To obtain
,
it is thus sufficient to calculate
for Fi=0.
This electronic average is performed by the
Model Microfield Method, using
the appropriate electronic frequency jump
and the MMM equation for
,
= | |||
(3) |
(4) |
(5) |
(6) |
(7) |
In general is not diagonal in if and i'f'. This leads in practice to the numerical inversion of a non diagonal matrix, which is difficult to perform when the final state has a large principal quantum number. In this case, in order to make the calculation more tractable, we perform the "isotropic'' calculation , in which is approximated by its scalar mean defined as
(8) |
Even in this approximation, the calculation may be too time consuming and one uses the "isotropic, with no lower state interaction'' approximation, but in a different way from that used by Stehlé (1994a). In both the present calculation and in Stehlé (1994a), this approximation means essentially that the lower state broadening is negligible compared with that of the upper state. In Stehlé (1994a) expression (1) was evaluated for all the dipole matrix elements difdi'f' of the optical transitions. Our method, in the present paper, differs in that we impose a more severe approximation, by assuming that for large n', the line shape (without Doppler broadening) does not depend at all on the lower level n of the transition. This approximation also means that for the case where the Doppler broadening is negligible (i.e. at large densities), the Lyman n', Balmer n' and Paschen n' transitions have the same profile. Doppler broadening must be fully taken into account, as this obviously depends on the line. The error introduced by this approximation has been discussed by Vidal et al. (1971) and Lemke (1997) in the static ion approximation. We illustrated the effects of the approximation, in the context of the MMM, for the Balmer 6, 7 and 8 transitions in Fig. 1.
In practice, we have carried out the calculation of the Lyman 2, 3, 4, 5 and Balmer 3, 4, 5 with the "anisotropic'' approximation, and that for the Lyman 6 and higher, for Balmer 6 to 7 and for Paschen 4 to 8 with the "isotropic'' approximation. The higher Balmer and Paschen lines are approximated by "Lyman'' Stark profiles convolved (if necessary) by the appropriate Doppler broadening.
For any given density, there is an effective series limit beyong which individual lines are no longer resolved. This limit falls with density and can be estimated qualitatively by the Inglis-Teller formula (Inglis & Teller 1939; Vidal 1966), as
(9) |
Although the MMM can perform line shape calculation for correlated plasmas, the present tabulation is limited to density-temperature range where the mean interelectronic distance r0 is smaller that the electronic Debye length . This allows the use of Hooper's high frequency and low frequency field distribution functions Hooper (1966); Hooper (1968), which are necessary to calculate respectively the electronic and ionic contributions to the line. Thus tabulations are limited to the density-temperature range, where
(10) |
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