Astron. Astrophys. 363, 1055-1064 (2000)
3. The equation of transfer
The key element and starting point in our research is a realistic
expression for the differential Compton scattering cross section
, describing scattering by electrons
in relativistic thermal motion. In this research we adopted formulae
from Guilbert (1981). The differential cross section can be decomposed
according to
![[EQUATION]](img13.gif)
where variable denotes the total
Compton scattering cross section (in cm2). Variable
denotes the scattering
redistribution function (scattering kernel), normalized to unity
![[EQUATION]](img16.gif)
In the following equations we shall use the function
, which is defined as the zeroth
angular moment of (Pomraning
1973).
We introduce auxiliary functions
and , which are defined by
![[EQUATION]](img20.gif)
![[EQUATION]](img21.gif)
Both functions and
contain stimulated scattering
correction factors, and fulfil strictly the detailed balancing
condition in thermodynamic equilibrium (cf. Paper I).
We assume the following time-independent equation of radiative
transfer, suitable for planar geometry
![[EQUATION]](img22.gif)
where we included both thermal and scattering emission. We assume
here nongrey true absorption , and
noncoherent Compton scattering opacity,
, both taken for 1 gram. Absorption
coefficient included already LTE
stimulated emission. Dimensionless absorption
.
Variable denotes the mean
intensity of external irradiation at the level
, with
![[EQUATION]](img29.gif)
and variable denotes the flux
![[EQUATION]](img31.gif)
Following the standard approach we compute zeroth and first
momenta of the equation of transfer
![[EQUATION]](img32.gif)
![[EQUATION]](img33.gif)
3.1. Radiative equilibrium
The constraint of radiative equilibrium implies on each depth level
that
![[EQUATION]](img34.gif)
where (cgs units). Taking
derivative of the above equation, we
obtain the alternative form of the equation of radiative equilibrium
![[EQUATION]](img37.gif)
where . Functions
, ,
and are computed at the unknown
temperature , in which they fulfil
strictly the constraint of radiative equilibrium.
3.2. Hydrostatic equilibrium
The total scalar pressure , and
the gradient of gas pressure in hydrostatic equilibrium is given by
![[EQUATION]](img44.gif)
see also Paper II for more details.
3.3. Temperature corrections
We assume linear Taylor expansions
![[EQUATION]](img45.gif)
![[EQUATION]](img46.gif)
![[EQUATION]](img47.gif)
where , variables T and
denoting the actual and final values
of temperature, respectively. We follow here the standard strategy of
model stellar atmosphere computations, where changes of various
physical variables are represented by linear perturbations, and
nonlinear (quadratic) terms are neglected. This method was proven by
many numerical experiments to be efficient, general, and stable
(Mihalas 1978, p. 180).
Then, we immediately obtain linear temperature corrections
![[EQUATION]](img50.gif)
The sum equals the total mean
intensity of radiation on the level .
New functions, and
, are defined by
![[EQUATION]](img54.gif)
![[EQUATION]](img55.gif)
Variables ,
or 2, denote partial derivatives of
the redistribution functions with respect to temperature
![[EQUATION]](img58.gif)
and
![[EQUATION]](img59.gif)
where . In thermodynamic
equilibrium ( , and
) we must have
.
3.4. The equation of transfer and boundary conditions
Following the standard procedure we combine Eqs. 8 - 9 and get
![[EQUATION]](img64.gif)
Such an equation implicitly contains unknown temperature
corrections . Eddington factors
. The final form of the equation of
transfer is
![[EQUATION]](img67.gif)
The above linearized equation of transfer was solved in the actual
model stellar atmosphere computations.
a. At the upper boundary we apply the equation which
directly results from the equation for momenta, Eq. 9
![[EQUATION]](img68.gif)
The surface factor , which is
equal to in the initial Eddington
approximation. The above upper boundary condition is just a relation
between the surface mean intensity and the flux. Factors
can be iterated to exact,
frequency-dependent values simultaneously with variable Eddington
factors (Mihalas 1978).
Note, that the upper boundary condition, Eq. 23, is formally
the same as for a nonilluminated atmosphere. This is because the
external illumination was explicitly separated in the equation of
transfer, Eq. 6.
b. At the lower boundary we assume the diffusion
approximation
![[EQUATION]](img73.gif)
Useful form of that condition and its derivation is given in the
Appendix.
3.5. Computational details
Full set of model atmosphere equations solved in this paper
consists of discretized radiative transfer Eqs. (22), written on
frequencies , supplemented by the
equation of hydrostatic equilibrium (12), and the equation for new
temperatures , with
given by Eq. (16). The LTE
equation of state for ideal gas, and expressions for monochromatic
opacities close the whole system.
Actual model computations were performed with the two numerical
assumptions:
- For simplicity, electron scattering cross section per one
particle has been set to Thomson value,
cm2. However, the
normalized redistribution functions
were always precisely reconstructed for each discrete frequency and
temperature.
- To avoid convergence problems, two Compton scattering terms in
the equation of transfer,
![[EQUATION]](img78.gif)
were always computed with the mean intensity
on each depth level taken from the
initial Thomson scattering model atmosphere, as described in
Paper II. This approximation was absolutely necessary to avoid
divergence of temperature corrections. However, such a choice
certainly introduces some systematic errors.
During a given iteration, tables of both integrals were carefully
recomputed for each optical depth
and running frequency , with new
temperatures determined at the end of previous iteration. Therefore
Compton scattering contribution to the equation of transfer was a
scalar inhomogeneity changing from one iteration to other, which was
just added to the thermal term (Planck function). The same applies to
scalars L and , and all
derivatives of Compton scattering functions in the temperature
correction term.
Method of solution and elimination scheme were adopted from Madej
(1998), and Paper II, with the modifications described above.
Convergence of our code was very rapid: in large part the
redistribution of external hard X-ray flux to soft X-rays or EUV was
computed in the first iteration. Relative temperature correction
between neighbouring iterations were very large, and we had to
artificially restrict them to max. 3-4, in order to avoid numerical
instabilities.
Computer code ATM21 represents implementation and extension of the
partial linearization approach, described by Mihalas (1978, pp.
179-180). According to this, we did not linearize neither the variable
, nor dimensionless absorption
.
We have neglected the effects of angular distribution of radiation
in Compton scattering integrals just for simplicity. Also we have made
other simplification by averaging of nonisotropic Compton scattering
differential cross section over
cosine of scattering angle, .
However, it is necessary to point out here that Compton scattering of
X-rays can be highly anisotropic, and then the significance of angular
effects gets important. Hubeny (2000) expresses opinion, that for
photon frequencies Hz (energies less
than 40 keV) the angular effects may easily be more important than
errors introduced by the Kompaneets equation approximation (which was
rejected in this research).
© European Southern Observatory (ESO) 2000
Online publication: December 5, 2000
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