A&A 395, 305-320 (2002)
DOI: 10.1051/0004-6361:20021349
K. N. Nagendra1,2 - H. Frisch2 - M. Faurobert2
1 - Indian Institute of Astrophysics, Sarjapur Road,
Koramangala Layout, Bangalore 560 034, India
2 -
Laboratoire G. D. Cassini (CNRS, UMR 6529), Observatoire de la
Côte d'Azur, BP 4229, 06304 Nice Cedex 4, France
Received 2 May 2002 / Accepted 9 July 2002
Abstract
The polarized line transfer equation for the Hanle effect is solved in the
framework of an exact partial frequency redistribution (PRD) theory developed
by Bommier (1997a,b). In that theory the effect of
collisions on the Hanle effect is considered self-consistently. We follow
that approach in the line transfer computations presented here.
The theory formulated by Bommier clearly recognizes two levels of
approximations for exact PRD, in order to facilitate
the solution of the line transfer equation.
The second level employs angle-dependent redistribution functions, and
numerically
represents a more difficult problem compared to the third level,
which involves only the use of angle-averaged frequency redistribution
functions. We present a
method which can solve the problem in both the levels of approximation.
The method is based on a perturbative approach to line polarization.
Although computationally expensive, it offers the only
practical means of solving the angle-dependent Hanle PRD problem. We
discuss the numerical aspects of assembling the so called "frequency
domain dependent redistribution matrices'', and also an efficient way of
computing the scattering integral. Some examples are presented to illustrate
the interesting aspects of the Hanle-PRD problem with angle-dependent
frequency redistribution. A comparison of the emergent profiles computed
under angle-averaged and angle-dependent redistribution is carried out,
and the effect of collisions is investigated. We show that it is necessary
to incorporate an angle-dependent redistribution mechanism especially in the
computation of the Stokes U parameter. We demonstrate that the use of simple
frequency domains is good enough in practical applications of the Hanle
PRD theory.
Key words: line: formation - polarization - scattering - magnetic fields - methods: numerical - Sun: atmosphere
The study of scattering polarization in spectral lines has become a front line area of research in solar physics (see Stenflo & Nagendra 1996; Nagendra & Stenflo 1999). The mechanism of resonance scattering on bound atomic levels produces polarization of radiation. A modification of this basic process by an external weak magnetic field is called the Hanle effect (see Stenflo 1994; Trujillo Bueno 2001; and Trujillo Bueno et al. 2002 for a description). The magnetic field not only modifies the angular phase matrix but also affects the frequency correlations between incident and scattered photons. During the life time of the excited state, the elastic collisions reduce the angular correlations, causing frequency redistribution and a de-polarization of the line radiation. The inelastic collisions, on the other hand, cause transitions between the bound states. The Hanle scattering phenomenon and the intervention of collisions are both treated self-consistently in two pioneering papers by Bommier (1997a,b: henceforth [B97a,b]). Apart from deriving the exact relations for the Hanle scattering redistribution matrix, the author also presented useful limiting approximations to the same, for practical applications. These approximations make use of the possibility to decompose the 2D frequency space (x, x'), with x'the incident frequency, and x the outgoing frequency, into several domains. In each of them, the redistribution matrix which describes the scattering (at the microscopic level), can be written as a sum of factorized terms. Each term involves a scalar redistribution function that multiplies a phase matrix. The so-called Approximation Level-II uses the angle-dependent (AD) version of the redistribution functions, and Approximation Level-III the corresponding angle-averaged (AA) function. The numerical method developed in this paper for solving the transfer problem handles Level-II and also the relatively simpler Level-III approximation.
The work of Omont et al. (1972, 1973), developed within the quantum theory of resonance scattering, marks the beginning of partial frequency redistribution (PRD) line formation theory with Hanle effect. The redistribution matrices describing the scattering of polarized radiation were explicitly calculated much later by Domke & Hubeny (1988) for resonance scattering (the non-magnetic case). The exact theory was later developed in [B97a,b] taking into account the role of magnetic fields, through a quantum electro-dynamical approach. The earlier works of Landi Degl'Innocenti (1983, 1984, 1985) based on the atomic density matrix approach, did not consider frequency redistribution problems. They were introduced, but in heuristic manner, in Landi Degl'Innocenti et al. (1997). The 2-level atom model is still retained in [B97a,b] for the sake of simplicity. Recently Bommier & Stenflo (1999) have derived a redistribution matrix for the combined Hanle-Zeeman scattering problem, based on a semi-classical approach. It provides a clear physical picture of the results obtained in [B97a,b].
In two papers published earlier on this subject, we have drawn attention to the importance of taking into account the coupling between frequency and angular redistribution which is present in the exact formulation of Hanle effect derived in [B97b] and remains in the Level-II approximation which involves the AD redistribution function. In Frisch et al. (2001), analytical arguments are presented to show that this coupling leads to non-zero Stokes U in the symmetric case of a magnetic field perpendicular to the slab (contrary to the normal expectations!). It is also shown that the frequency-integrated Stokes U does vanish. The same conclusions are substantiated in another paper through some numerical computations (see Faurobert et al. 2002).
In the present paper, we elaborate on this question, and further
discuss several aspects of the Hanle redistribution problem, using
angle-averaged, and angle-dependent functions. In a recent paper
Fluri et al. (2002) have proposed a generalized PALI (Polarized
Approximate Lambda Iteration) method for the Hanle effect under
Approximation Level-III. It handles the AA frequency redistribution
case with the frequency domain decomposition introduced in [B97b]. It
is very fast because, like the PALI methods developed earlier (see Nagendra et al. 1998, 1999), it makes use of the azimuthal Fourier decomposition of
the Hanle phase matrix and Stokes vector. A generalization of this
method to the AD frequency redistribution case has yet to be
developed. Here we use a perturbative approach. It is simple and
direct, but requires large memory and is computationally very slow,
because directions have to be described by their azimuthal and polar
angles. In the PALI method, only polar angles have to be considered.
Thus we can state that the emphasis in this paper is more on exploring
the physical aspects of this complex problem, than on proposing the
perturbative approach as a practical method. A review of the numerical
methods for the solution of polarized line transfer equations can be found
in Nagendra (2002). A brief assessment of the generalized PALI method as
well as the perturbative method is presented in Nagendra & Frisch (2002).
In Sect. 2 and in the Appendix, we present the required equations. We
highlight the peculiarities of the angle-dependent PRD problem for the
Hanle effect, and the structure of frequency domains. We also briefly
discuss the angle-averaged Approximation (Level-III). In Sect. 3 we
describe the method of solution and mention the numerical aspects. In
Sect. 4 we present some physical results through illustrative
examples.
![]() |
Figure 1:
The frequency domains for solving the angle-dependent Hanle
redistribution problem. The panels a-c) refer to
|
| Open with DEXTER | |
In this section we present the basic equations of the general Hanle effect polarized line transfer problem.
The one-dimensional line transfer equation for polarized Hanle scattering
problem may be written as:
In the non-magnetic case, the redistribution matrix can be written as
the sum of terms, each one being the product of a frequency-dependent
redistribution function and a polarization phase matrix
(see Domke & Hubeny 1988, and [B97a]). In the presence of
an external magnetic field, frequency redistribution and polarization
are coupled together. However, in the limit of weak magnetic fields,
i.e. for the Hanle effect, it is possible to construct approximations
to the redistribution matrix in which polarization and frequency
redistribution are de-coupled. Investigating the
scattering of a pencil of radiation with the exact
redistribution matrix, Bommier [B97b] has observed well-defined
frequency domains where (Q/I) and (U/I)take constant values (see Fig. 2 of [B97b], upper panels). This
behavior is consistent with the idea that in each domain the
redistribution matrix can be factorized into the product of a phase matrix
and a scalar redistribution function. The domains are separated by
sharp transition regions which are approximated by step
functions. These boundaries correspond to core-wing transitions
in the generalized absorption profiles. Since the theory developed in
[B97b] incorporates the effect of collisions, the
and
type redistribution functions appear in the
redistribution matrix. The approximation Level-II involves the
AD scalar redistribution functions
and the approximation Level-III their angle-averaged versions.
Figures 1 and 2 show the frequency domains for the AD case and AA
case, respectively. There are three domains associated with
and two domains associated with
.
In the Level-II approximation, which handles AD redistribution
functions, the line source function may be written as
![]() |
Figure 2:
The frequency domains for solving the angle-averaged (AA)
Hanle redistribution problem. Notice the similarity of
|
| Open with DEXTER | |
We now discuss the frequency domains shown in Fig. 1. Forward
scattering
is a very special case. Domain-1
(for
)
and Domain-4 (for
)
do not exist
because the conditions in Eqs. (A.1) and (A.2) cannot be satisfied.
We first consider the case of
.
Domain-5 represents
the region of pure Rayleigh scattering and domain-4 the region of
Hanle effect (see Eqs. (A.11) and (A.12)). Except
for the case of
,
the shape
of domain-4 is not very sensitive to the value of the scattering
angle
.
The Hanle domain includes the line core. The
redistribution function
takes its largest value in the
diagonal band along x = x'. Hence, for large values of x, the contribution
of domain-4 to the scattering integral should be negligible.
Thus we recover the standard behavior that the Hanle effect
holds only in the line core |x| < 3.
We now turn to
.
Domain-1 and domain-2 represent a
weighted combination of isotropic and Hanle phase matrices (see
Eqs. (A.8) and (A.9)). In
domain-3 there is a combination of isotropic, Hanle and Rayleigh phase
matrices (Eq. (A.10)). Thus in the line core, we have
Hanle scattering with no
Rayleigh contribution. For the wing frequencies, both Hanle and
Rayleigh phase matrices contribute, weighted respectively by the
factors
and
.
For
redistribution, which is somewhat similar to CRD, the maximum of the
redistribution occurs for both x and x' in the line core. For xand x' large, we can assume
,
with
the absorption coefficient. Hence, for large x, the main
contribution to the scattering integral will come from domain-2, where
Hanle scattering is present. Thus, in cases where both
and
contribute to the redistribution matrix, there
will be some contribution to the Hanle effect, coming from domain-2 also.
It should be larger than the corresponding contribution of domain-4,
coming from
since
in domain-4 is
smaller than
in domain-2 as shown by the analytical
expressions for
and
.
We now consider the domains for the AA case which are shown in
Fig. 2. The construction of the domains is explained in the
Appendix Sect. A.2. First we remark that the structure is somewhat
similar to the
AD domains for a scattering angle of
,
except for a
sharp narrowing of the diagonal stripe in the
case.
We note that AA domains are not simple averages of the AD domains
shown in Fig. 1 (see [B97b]). All the discussions in Fig. 1, regarding
the contributions of Hanle and Rayleigh scattering in the line core
and wings, hold also for Fig. 2.
![]() |
Figure 3: The emergent Stokes Q and U profiles for pure Hanle (H), pure Rayleigh (R), and the general Hanle plus Rayleigh (H+R) scattering mechanisms. Dotted lines represent the AA redistribution, and the solid lines the corresponding AD redistribution. The exact frequency domains described in Figs. 1 and 2 are employed in these computations. Notice the smooth transition between the Hanle dominated line core and the Rayleigh dominated line wing. See Sect. 2.3 for more details. |
| Open with DEXTER | |
In order to illustrate the transition from the Hanle dominated core to the Rayleigh dominated wing, we show, in Fig. 3, the Stokes Q and U parameters for pure Hanle scattering, pure Rayleigh scattering and the general case where both are considered. Such a comparison is carried out for both AA and AD cases. The method of solution of the transfer problem is described in Sect. 3. The parameter of the model are the same as in Figs. 4 to 7. They are given at the beginning of Sect. 3.3.
The general case of (H+R) clearly follows the Hanle type scattering
in the line core (|x| < 2.5), and the Rayleigh scattering behavior
in the wings (
), for both Q and U. In the AA case,
the Rayleigh type behavior for Q, starts even in the near wings
(|x| > 2.5). We also note that, for both AA and AD, Stokes Q
is bounded from above by the Rayleigh limit, and from below by Hanle
limit. This is consistent with the fact that the Hanle effect
decreases Stokes Q.
As for the U parameter, in the AA case, it follows the Hanle limit in the core and, in the wings, is smaller than the pure Hanle case, as expected. In the AD case, Stokes U also follows the Hanle limit in the line core, but in the wings, there is a more complex behavior discussed in the forthcoming sections.
It is possible to solve this line transfer problem by direct numerical schemes, such as the Feautrier method (Faurobert-Scholl 1994) or discrete space method (Nagendra 1988). But the memory and the CPU time requirements are very large. Here we use a simple perturbative approach.
Rees (1976) proposed a perturbation method for non-magnetic resonance scattering polarization. It is applicable when the degree of polarization of the radiation field is small, hence it is also applicable for the Hanle effect. The perturbative approach is quite simple. Here it is organized into three distinct stages. In stage 1 we solve a scalar PRD problem. In stage 2, we solve a polarization problem but consider the AA form of the redistribution function. Finally in stage 3 we solve the polarization problem with the AD redistribution function. In each stage, the solution is calculated iteratively.
In stage 1 we solve a scalar transfer problem, with the line source
function defined as:
In stage 2 we start the iteration cycle with the vector source
function
,
where
is the solution of the scalar
problem. The formal solution of the polarized transfer, calculated with
a polarized FS (Nagendra et al. 1999), provides a Stokes vector which
is incorporated into the AA version of Eq. (4) to
obtain the next iterate of the source vector. The iteration is pursued
until the convergence criterion is satisfied. At each step we
calculate the Maximum Relative Change (MRC) in the degree of emergent
linear polarization at the surface. We end the iteration when the MRC
becomes less than a given value, say 10-2.
In stage 3 we proceed exactly as in stage 2. We start with the polarized source vector calculated in stage 2 using the AA redistribution function. After solving the transfer equation with the polarized FS, we use Eq. (4) to calculate the next iterate of the source vector. We apply the same convergence criterion as in stage 2.
Other computational details of the perturbative approach are described in Nagendra et al. (1999). In stage 2 we need the angle-averaged redistribution functions (see Eq. (A.3)). The integration over the scattering angle is performed numerically, using a Gauss-Legendre quadrature rule. The angle-averaged functions so computed give nearly the same emergent intensities as those obtained by the method of Adams et al. (1971), or the simpler approach of Gouttebroze (1986).
An essential part of the perturbation method is the calculation of the
scattering integral in Eq. (4).
The scalar redistribution functions
and
which depend on the scattering angle
are
given in Hummer (1962). Here we use respectively the Eqs. (59) and
(61) in [B97b] to compute them. They differ by a constant factor with
respect to the expressions given in Hummer (1962).
Because of the symmetries of the redistribution functions under
frequency exchange
(
), and
with respect to the line center (
), it suffices to solve the line transfer
problem in a half-space in the outgoing frequency (x > 0).
Hence we need to calculate the
redistribution matrices only on the frequency range
and
.
For a given
value of x, the integration proceeds along a vertical line as shown for
example in Fig. 1e. It is clear in this figure that, for each value of x,
,
one has to determine the boundaries of the domain 4. Thus for each set
,
the
values of x' corresponding to domain boundaries have to be
determined. All these tests make the calculation of the scattering
integral very expensive as far as computing
time is concerned.
All the PALI methods that have been
developed so far (with AA redistribution), make use of an azimuthal
Fourier expansion of the Hanle phase matrix and of the Stokes
vector. This decreases significantly, the memory requirement since one
does not have to discretize over the azimuthal angle
.
The
perturbation method developed here involves "explicit'' numerical
evaluation of the scattering integral through the quadrature sums on
frequency (x), and the angles (
and
). Since the AD
redistribution matrix exhibits strong variation with respect to the
angles
and
,
we need a grid-resolution of at least
,
and
to obtain accurate results. This
means 224 directions at every spatial and frequency point.
We have employed a non-uniform frequency grid consisting of Nx = 41points. However the frequency variation of the AD redistribution
function is so strong at certain scattering angles, that an ordinary
grid with Nx points is not sufficient for an accurate frequency
integration. The deficiency clearly shows up as low amplitude random
oscillations of the Stokes Q and U, in the line core region. To
circumvent this numerical problem, we have employed a linear spline
(trapezoidal like) interpolation method to represent the strong
frequency variation of the integrand. This procedure leads to a
construction of, say, 6-point sub-division of each frequency interval
,
and re-computing the "interpolated redistribution matrix
weights'' on a very fine frequency grid of 6 Nx points. Notice that
the transfer equation is still solved on the main nodes (Nx) of the
frequency grid. For the above said reason, the perturbation code
requires a large amount of CPU time to compute the AD redistribution
matrices. It can be computed once and accessed later. Moreover if one
wants to avoid wasting
excessive computing time in repeated I/O operations, the polarized
redistribution matrix has to be stored in the main memory. Depending
on the grid resolution, this leads to a large demand on the computer
memory also (4-40 GB for normal to good resolution!).
For a real
atmosphere one can follow the same procedure, but the redistribution
weights have to be stored at all depths.
In the present code we have optimized the matrix multiplication
in the
integrand, by completely avoiding the random access in
space inside nested do loops. This has
been achieved by constructing and storing the redistribution matrix as
an array suitable for 1D-ordered access. This speeds up the code
by a factor of 5-10 compared to the conventional approach.
The requirements of memory and the CPU time to compute good solutions make the perturbation method a very demanding one. Computing time can be reduced by optimizing the code, and running on a parallel processor.
In this section we describe only those parameters, which are common to
all the figures shown in this paper. All the results are presented
for an isothermal and homogeneous slab. The atmospheric model
parameters are
,
where T is
the optical thickness of the slab. For Figs. 3
to 7 the model parameters are
.
The slab is
assumed to be self-emitting. There is no incident radiation on the
boundaries.
The magnetic field parameters are
unless stated otherwise. The magnetic field
strength parameter
has a sensitivity range of
for the Hanle effect. We have chosen
in all our numerical experiments. The magnetic field parameters
are assumed to be independent of depth. The absorption profile is a Voigt
function. The scalar redistribution functions that appear in the
computation are of either AA-type,
and
or of AD-type,
and
.
The
choice of collisional parameters is specific to each figure. Their
values are given in the discussion concerning each figure. All the results
in this paper are presented for
a = 10-3. The grid-resolution in
physical variables is
.
The quantity
represents the number of points per decade in a logarithmically spaced
grid, with the first depth point
.
The
frequency points are equally spaced in the line core, with a gradual
switch over to logarithmic spacing in the wings, and satisfy
in the far wings. Unless stated otherwise,
we used 6 points per decade for
,
Nx=41,
,
and
.
![]() |
Figure 4:
The Hanle effect for different values of magnetic field
inclination
|
| Open with DEXTER | |
There are different ways of studying the effects of collisional parameters in a parameterized manner (Domke & Hubeny 1988; Nagendra 1994, 1995). We have used the following approach:
i)
Specify the thermalization parameter
;
strength of
elastic collisions through
;
the field strength through
the parameter
,
and the intrinsic
de-polarization parameter W2 = 1.
ii)
Then compute the composite branching ratios
and
using the Eqs. (A.14) and (A.15).
The modified Hanle parameters
and
are given in Eq. (A.13).
We note here that the work of Bommier [B97b] has contributed to
stabilize the definitions of the parameters
and
of the branching ratios
and
.
In the case of pure coherent scattering (pure
), the Hanle
phase matrix involves the product
(see
Eqs. (A.11) and (A.13)). Here and in recent work
([B97b]; Faurobert-Scholl et al. 1999; Fluri et al. 2002), the
denominator of
is
.
In Faurobert-Scholl (1993, 1994), this
denominator is
,
whereas it is
in Bommier (1996), Faurobert-Scholl et al. (1997) and Nagendra et al. (1998). In stellar atmospheres, one has
in general
and
,
hence the different choices of
should lead to essentially the same surface
polarization.
For a combination of coherent and incoherent scattering,
it is the product
which controls the Hanle
phase matrix at line center (see Eqs. (A.8), (A.11) and (A.13)), if we
leave out the differences between
and
or
consider quantities integrated over the line profile. The
denominator of
is
.
The model atmosphere is described in Sect. 3.3. In Sects. 4.1 and 4.2 we are considering a pure
case. It
corresponds to
.
Since
D(0) = 0, we
have
.
We have chosen
which corresponds to
.
Only the
related domains D4 and D5 become relevant. The associated
polarization phase matrices are given in Eqs. (A.11) and (A.12). In Sect. 4.3, we consider the general case with
elastic and de-polarization collisions (
;
).
In Fig. 4 we discuss the effect of
varying
on
.
The sensitivity of Qis small in the AA case but becomes significant in the AD case in the
near wings. At line center, the sensitivity is about the same in
the AA and AD cases. For a horizontal magnetic field (
)
the AA and AD give about the same values of Q. The
difference is maximum for
.
In the AA case, Stokes U is zero for
,
due
to symmetry, and departs from zero as soon as the field is
non-vertical. Note also that, in the AA case the sensitivity o U to
is not significant, at least in the range
.
In contrast, in the AD case Stokes U strongly depends on
and we observe that
when the magnetic field is vertical (
), in
contradiction to the expectation that U = 0 due to global
symmetries. Accurate observations of the U profile, should make it
possible to determine the orientation
of the magnetic
field, provided the modeling is performed with an AD approximation.
The case of a vertical magnetic field has already been discussed in Frisch et al. (2001), and Faurobert et al. (2002). We summarize here the
arguments presented in these references to explain that we may have
in the AD case.
For simplicity, we consider the pure
Hanle phase matrix in the scattering term in
Eq. (3). The redistribution
matrix then takes the form of a product
Since the medium is axi-symmetric, we can assume that the incident
radiation field is independent of
.
In addition we assume for
simplicity that it is unpolarized. Using the expression for
corresponding to a vertical magnetic field (see
Stenflo 1994, p. 89; and Frisch et al. 2001), we find that the
scattering integral may be written
![]() |
Figure 5:
The emergent Stokes Q and U profiles for several values
of the radiation field azimuth |
| Open with DEXTER | |
However, one recovers U = 0 when the radiation field is independent of
frequency (see Frisch et al. 2001). The proof relies on
the normalization of the redistribution function which can be written
We concentrate on
only, since I depends
very weakly on the azimuth. The figures correspond to
.
For a vertical magnetic field, Q and U are independent
of
.
![]() |
Figure 6: The non-axi-symmetry of Stokes parameters at selected frequency points x in the line. The results are presented for the same model as that of Fig. 4. The curves are identified by the frequency points. Except for frequencies around x = 3, the Stokes Q parameter is axi-symmetric to a good accuracy. As expected, Hanle scattering strongly affects the Stokes U parameter in the AD case, which is artificially averaged out in the AA approximation. See Sect. 4.2 for more details. |
| Open with DEXTER | |
![]() |
Figure 7:
Effect of elastic collisions on Hanle scattering
polarization. The strength of collisions is characterized
by the ratio
|
| Open with DEXTER | |
In Fig. 5 we show the emergent Q and U profiles calculated with
the AA and AD redistribution functions for several values of
.
In Fig. 6, we show the same
quantities as a function of
for selected points in the
frequency profile. In Fig. 5 we see that the azimuthal dependence
appears mainly in the line center and near wings, i.e. in
the frequency domain of the Hanle effect. We note also that this
dependence is stronger in the AD case than in the AA case. This is
particularly true for Stokes U. The magnitude of U is about 3
times larger in the AD case than in the AA case. This difference is
due to the fact that we are properly keeping the angle-dependence in
the redistribution function.
For a better understanding of the results presented in Figs. 5 and 6,
we recall the Fourier azimuthal expansion of the vector source
function
given in Frisch (1999, Eqs. (25) and (26)) for
complete frequency redistribution (CRD). The Stokes vector has a
similar expansion (see Nagendra et al. 1998).
For
close to zero, we have,
For the AA case, the results shown in Figs. 5 and 6 (panels a and b) can easily be interpreted with the help of
Eqs. (11) and (12). Stokes Q is not very
sensitive to
because the
-dependence appears only
in the second order terms in the Fourier expansion. For U, we
clearly see the
-periodicity (Fig. 6, panel b) and a close to
exact symmetry about U=0 (Fig. 5, panel b), which corresponds to
.
As shown in
Eq. (12), this symmetry would be exactly satisfied for
.
Note that it will hold for any direction of the magnetic field.
In the AD case, we observe that Q has a dependence on
which is slightly larger than in the AA case (see Fig. 5) and a
mixture of the first and second Fourier harmonics (see Fig. 6). For
U we clearly see in Fig. 5 that the approximate symmetry with
respect to U=0 does not hold anymore. We note also for U a small
negative
-independent contribution. In Sect. 4.1 we have
seen that there is a
-independent term in U when the
magnetic field is vertical. Preliminary calculations have been performed
for an arbitrary oriented magnetic field. The variations of Q and U with
are still of the form given in
Eqs. (11) and (12): in Stokes Q the
-dependence is controlled at leading order by the second
order Fourier component and in Stokes U by the first order one
(the dominant Fourier component is the component of zeroth order, i.e. the
one that does not depend depend on varphi).
For U, there is an additional
-independent term as for a
vertical magnetic field.
In Fig. 7 we show the effect of
elastic collisions and de-polarizing collisions on I, Q and U for
the AA and AD cases. The redistribution matrix involves now
contributions from both
and
type
scattering. The AA case has already been explored by Faurobert-Scholl
(1996 and references therein). The atmospheric model is the same as
in Figs. 4 to 6. The
differences are in terms of the branching ratio
,
which takes the values
.
These 5 models are depicting a range,
covering absence of elastic collisions, to the presence of very strong
elastic collisions. Such a range of variation is indeed possible, in
the solar atmosphere, as one goes down from the outermost shallow
chromospheric layers to the base of the photosphere. For all the
models
hence
.
For the
de-polarizing collision rate we have
with
c=0.5. The Voigt damping parameter a is kept at 10-3.
The variation of
affects only the frequency
redistribution and de-polarizing collisions.
![]() |
Figure 8:
Generalized branching ratios for Bommier's [B97b]
domain based redistribution matrix. The dependence of these composite
branching ratios on elastic collision rate is plotted.
For c=0.5 the quantity
|
| Open with DEXTER | |
Figure 7 shows that the I profiles become broader when the elastic
collision rate is increased, while the line core is not modified. This
is a standard result that can be understood in terms of
Eq. (5). In the line core
,
hence there is no dependence on
.
In
the wings, we go from the case of pure
type redistribution
for
to a nearly pure
type redistribution for
.
We
recall that
behaves essentially like complete frequency
redistribution as soon as we are dealing with optically thick lines.
The polarization matrices, including elastic collisions, are defined
in the Appendix. We give here simplified expressions of the
redistribution matrix that would help us to understand the behaviors of
Q and U. For simplicity we assume
(see Eq. (A.13)). The domains D1 and D2
have now the same polarization phase matrix, namely:
Panels b and e in Fig. 7 show that the sensitivity of Q to
elastic collisions and de-polarizing collisions is
essentially the same in the AA and the AD cases. We have already
seen in previous sections that Q is not very sensitive to the
coupling between frequency and angle redistribution. We observe in
these panels a decrease in the polarization in the line core, a
broadening of the wings, and in the wings, say for |x|>6, a non-monotonic
variation of Q which first increases with
and then deceases when this ratio becomes larger than unity.
In the line core, as shown by Eq. (14), the
polarization is controlled by the parameter D(2), a property
stressed in previous work (e.g. Nagendra 1994). Referring to Fig. 8, we
see that
increases while
decreases when
increases. Hence both terms in Eq. (14)
contribute to decrease the polarization when the rate of de-polarizing
collisions increases.
We now examine the wings of Q. Asymptotic analyses of radiative
transfer for small values of
(Frisch 1980) show that there
is no isotropization of the radiation field in the line wings when
they are formed under complete frequency redistribution or
partial redistribution. Since Q is a measure of the anisotropy
of the radiation field, we can understand that Q increases in the
wings together with the contribution of
.
In the
wings, loosely speaking,
is larger than
,
hence the term with
in Eq. (15) will
dominate over the term with
,
in spite of the fact that
(see Fig. 8). The non-monotonic
behavior of Q is thus a direct consequence of the non-monotonic
variation of
.
The properties of Q discussed
here do not depend in any critical way on the magnetic field. They
should also hold for pure resonance scattering.
For Stokes U, in the AA case (panel c, Fig. 7), we observe a monotonic
decrease of U at all wavelengths and no broadening of the
profile. We have seen in Sect. 2.3 (see Fig. 3) that U reaches the
Rayleigh limit U=0 as soon as |x|>4.5. This result was obtained
for pure
.
The parameter U is a measure of departures
from the axial symmetry. Increasing elastic collisions, i.e. going
from an
redistribution to an
redistribution
should have little effect on the azimuthal variation of the radiation
field. Hence there should be no broadening of the U profile. It will
remain in the region where the redistribution matrix can be
approximated by Eq. (14). As seen above, both terms of
this equation contribute to a decrease of the polarization when
increases.
In the AD case (panel f, Fig. 7), we observe a decrease of the polarization in the line
core, which can be explained with Eq. (14). More
interesting is the appearance of very low but extended wings where Uvaries in the same non-monotonic way as Q. We have seen in Figs. 4
to 6 that U has larger values in the AD case than in the AA case
because of the
-dependence of the redistribution
function. This
-dependence combined with the broadening of
Stokes I can explain the formation of wings in the U profile. The
non-monotonic variation of U is the signature of the magnetic field
acting through the second term in Eq. (15). For a
vertical magnetic field, we should observe similar extended wings in U.
A magnetic field effect has been detected recently by Bianda et al. (2002) in the wings of the U profile of the Ca I 4227 Å line. Whether this observation can be understood in terms of the Hanle effect needs a realistic modeling including an angle-dependent partial redistribution function.
We have also considered a slab with an optical thickness T of only 200, which is effectively thin, which means that the radiation field
does not thermalize at the slab center. We refer to this model as the
thin slab. The full characteristics of the model are
.
We consider the pure
case with
.
The magnetic field is defined by
.
The
medium is assumed to be isothermal and self emitting. The grid
resolution is:
(5 points/decade);
;
;
Nx = 39.
In Fig. 9 we show I, Q, and U for AA and AD redistribution cases. It can be seen in Fig. 9b that there is large difference in the Q profile depending on whether we employ AA or AD redistribution functions. This difference is considerably smaller for the effectively thick slab, as can be seen for instance in Fig. 5. In the thin slab case, in contrast to the effectively thick case, the radiation field does not become isotropic at large optical depths. This is the reason why using an AA redistribution is highly inadequate. We remark also that the ratio (Q/I) for the thin slab case is smaller than in the thick slab case (compare with Fig. 7). This ratio is controlled by the limb darkening of the I parameter, which is much smaller for a thin slab, than a thick slab.
For Stokes U, we see the same kind of difference between the AA case and the AD case as for an effectively thick slab (see Fig. 4). Contrary to Q, the ratio (U/I) has similar value in the thin and thick slab cases. This is because Stokes U is mainly controlled by the breaking of the axi-symmetry of Stokes I.
![]() |
Figure 9: The thin slab case. Comparison of simple and exact domains in the Hanle PRD problem. The simple domain refers to the vertical stripe, while exact domain means the use of the domains shown in Figs. 1 and 2 for the AD and AA cases, respectively. Notice that the use of a simple domain is sufficiently accurate in the computation of polarized emergent line profiles. See Sect. 4.4 for more details. |
| Open with DEXTER | |
We have seen in the preceding sections that the
Hanle effect is active mainly in the line core and the Rayleigh effect
in the line wings. This has lead to a standard cut-off approximation,
which we refer to as the vertical stripe approximation. It is assumed
that the Hanle effect acts only for
and the
Rayleigh effect for
,
with
given a
priori. In this section we compare the emergent Stokes vector
calculated with the method described in this paper and with the
vertical stripe approximation, for the thin slab case. In the thin
slab model (see Sect. 4.4), we have assumed a pure
frequency redistribution. Hence, the approximation amounts to replace
the domain D4 by a vertical stripe. This means that we are neglecting
the Hanle effect in the wings and thus we expect
,
and
.
We have seen in Sect. 2 that a physically meaningful cut-off
frequency is
,
with
the
transition frequency between the Gaussian core and the Lorentzian
wings in the absorption profile. In Fig. 9 we compare the Stokes
profiles calculated with the true domain D4 and the approximate one.
We observe that the vertical stripe approximation underestimates the
Hanle effect, as predicted. This conclusion holds for the AD and the
AA case, with the effect being slightly larger in the AD case. For a
mixture of
and
,
the under-estimation
could be more pronounced because the vertical stripe approximation
also neglects the contribution of the domain D2 to the Hanle effect.
Hence we suggest that in a preliminary modeling work, the vertical
stripe approximation is good enough. The same conclusion was reached
in Faurobert et al. (1999). For the cut-off frequency,
should be preferred to a fixed value, say
.
In this paper we have solved the problem of Hanle effect with PRD, using the theory developed by Bommier (1997b). This theory identified two levels of approximation, involving respectively AA and AD scalar redistribution functions. The coupling between frequency redistribution and angular redistribution is properly taken into account, when one uses the AD redistribution function. This coupling is ignored when working with AA redistribution function.
For lines with very large optical thickness (strong resonance lines),
the Q parameter is fairly well represented by the angle-averaged
approximation. In contrast, very large differences between
angle-averaged and angle-dependent approximations exist in the
emergent Stokes U parameter. Hence this coupling is definitely to
be taken into account for accurate modeling of the Stokes Uparameter, and subsequent determination of the magnetic field
orientation. We have noticed an interesting effect of elastic
collisions which can produce extended wings in the Stokes Uparameter when
.
These wings
show up only with the AD redistribution functions and seem to be a
signature of the Hanle effect. As pointed out in Bianda et al. (2002),
the mechanism could be radiative excitation in the line core followed
by a collision shift at a wing frequency, without destruction of the
atomic polarization.
For weak lines, both Q and U parameters are very sensitive to the coupling between frequency and angular redistribution.
Our calculations have been carried out using the idea of "combined
frequency domains'' proposed in Bommier (1997b). Each domain refers to
a given redistribution mechanism (
or
), and
to a polarization mechanism which is a combination of Rayleigh and
Hanle scattering. We have also carried out some calculations with a
simple domain decomposition, where the Hanle effect holds only in the
line core, and Rayleigh scattering holds in the wings. It is found
that the latter is a very good approximation. Thus, one feels confident
that the use of such simple domains is sufficient in the radiative
transfer analysis of polarimetric data.
Our calculations have clearly shown that it is necessary to make simultaneous measurements of Q and U with high polarimetric sensitivity (up to 10-4) if one wants to properly determine the orientation of weak magnetic fields in the solar atmosphere. Measuring Stokes U with a high accuracy is also necessary to distinguish between an oriented or a micro-turbulent magnetic field (randomly oriented on scales smaller than typical photon mean free paths). The signature of a micro-turbulent field is a Stokes Q smaller than predicted on the basis of resonance scattering and a zero Stokes U. For a micro-turbulent magnetic field, the redistribution matrix can be averaged over the random orientations of the magnetic field and one is left with a resonance scattering problem with a re-normalized de-polarization parameter which incorporates the effect of the magnetic field (Stenflo 1994). For resonance scattering, as shown in Faurobert (1987, 1988), the effects of angular dependence in the frequency redistribution function are quite small.
Acknowledgements
K. N. Nagendra is grateful to the scientists and other staff at the Observatoire de la Côte d'Azur (OCA), Nice, France for their warm hospitality during his visits to OCA. He is grateful to Dr. Baba Varghese for help with graphics. The authors like to thank Dr. J. P. Rivet and Mr. J. M. Mercier for arranging special provisions at the SIVAM computing facilities which enabled them to run the transfer code with finer grids. Hélène Frisch would like to thank the Indo-French Scientific Collaborative Programme CEFIPRA (2404-2), for partial support in organizing a visit to Indian Institute of Astrophysics (IIA), Bangalore, and also the Director of IIA for providing the local support. The authors are grateful to Dr. V. Bommier for useful discussions and for providing a highly accurate code to computefunctions. They have greatly benefited from remarks of the referee, who is heartily thanked.
For a two-level atom, the Rayleigh and Hanle phase matrices can be
written in terms of a multi-polar expansion of the form
The analytical expression of the Hanle Phase matrix
is given in Landi Degl' Innocenti & Landi Degl' Innocenti (1988)
for an arbitrary reference frame. It depends on the orientation of the
magnetic field,
,
and on the non-dimensional magnetic
field strength parameter
The polarization phase matrices introduced in Eq. (4)
are common to the AA and AD cases. In [B97b] they are defined in
terms of
,
and
.
Here they are expressed in terms of the full matrices
and
.
For the domains D1 to D5, we have
Following [B97b] we employ branching ratios defined as:
The parameter
in Eq. (3) is given by