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
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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
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(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
,
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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
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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
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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
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