Issue |
A&A
Volume 518, July-August 2010
Herschel: the first science highlights
|
|
---|---|---|
Article Number | A30 | |
Number of page(s) | 8 | |
Section | Stellar structure and evolution | |
DOI | https://doi.org/10.1051/0004-6361/201014426 | |
Published online | 26 August 2010 |
Gravity modes in rapidly rotating stars
Limits of perturbative methods
J. Ballot1 - F. Lignières1 - D. R. Reese2 - M. Rieutord1
1 - Laboratoire d'Astrophysique de Toulouse-Tarbes, Université de Toulouse,
CNRS, 14 Avenue E. Belin, 31400 Toulouse, France
2 -
LESIA, UMR8109, Université Pierre et Marie Curie, Université Denis Diderot, Observatoire de Paris, 92195 Meudon, France
Received 13 March 2010 / Accepted 3 May 2010
Abstract
Context. CoRoT and Kepler missions are now providing
high-quality asteroseismic data for a large number of stars. Among
intermediate-mass and massive stars, fast rotators are common objects.
Taking the rotation effects into account is needed to correctly
understand, identify, and interpret the observed oscillation
frequencies of these stars. A classical approach is to consider
the rotation as a perturbation.
Aims. In this paper, we focus on gravity modes, such as those occurring in Doradus, slowly pulsating B (SPB), or Be stars. We aim to define the suitability of perturbative methods.
Methods. With the two-dimensional oscillation program (TOP), we
performed complete computations of gravity modes - including the
Coriolis force, the centrifugal distortion, and compressible
effects - in 2D distorted polytropic models of stars. We
started with the modes ,
n=1-14, and
,
n=1-5, 16-20 of a nonrotating star, and followed these modes by
increasing the rotation rate up to 70% of the break-up rotation
rate. We then derived perturbative coefficients and determined the
domains of validity of the perturbative methods.
Results. Second-order perturbative methods are suited to computing low-order, low-degree mode frequencies up to rotation speeds 100 km s-1 for typical
Dor stars or
150 km s-1 for B stars. The domains of validity can be extended by a few tens of km s-1
thanks to the third-order terms. For higher order modes, the
domains of validity are noticeably reduced. Moreover, perturbative
methods are inefficient for modes with frequencies lower than the
Coriolis frequency
.
We interpret this failure as a consequence of a modification in the
shape of the resonant cavity that is not taken into account in the
perturbative approach.
Key words: asteroseismology - stars: oscillations - stars: rotation - methods: numerical
1 Introduction
CoRoT (Convection, Rotation and planetary Transits, Baglin et al. 2006) and Kepler (Borucki et al. 2007) are space missions providing uninterrupted high-quality photometry time series over several months or years ideally suited for asteroseismic study. Asteroseismology provides very accurate determinations of the stellar parameters (mass, radius, age, etc.) and probes stellar structure to constrain physical processes occurring in stars. The first step towards this goal requires correctly understanding the structure of the observed oscillation spectra, and especially correctly identifying the observed modes. In the case of main-sequence (e.g. Benomar et al. 2009; Michel et al. 2008; Chaplin et al. 2010) and giant (e.g. Bedding et al. 2010; Miglio et al. 2009; Hekker et al. 2009) FGK stars with solar-like oscillations, the spectrum structure is well understood, which eases interpretation.
The spectra of classical pulsators is often noticeably more complex. For instance, the high-quality observations of Scuti (e.g. Poretti et al. 2009; García Hernández et al. 2009) and
Doradus (e.g. Mathias et al. 2009)
stars have exhibited very rich and complex spectra of acoustic (p)
and gravity (g) modes, respectively, containing several
hundred - or more - modes. Interpreting their spectra is very
challenging today. Indeed, these stars generally spin rapidly,
so the effects of rotation on the mode frequencies must be
considered.
Here, we are concerned with gravity modes, i.e., low-frequency modes driven by the buoyancy force.
They are excited and observed in a broad panel of stars, for instance, in Dor, SPB and some Be stars. The
Dor stars form a class of main-sequence stars with type around F0V that can sometimes rotate rapidly (e.g. De Cat et al. 2006, and reference therein), while the rotation rate of Be stars is extreme, usually very close to their break-up limit
(e.g. Frémat et al. 2006).
The effects of rotation on the oscillation modes can be treated as a perturbation where the rotation rate is the small parameter. A 1st-order correction has been proposed by Ledoux (1951), 2nd-order by Saio (1981), Dziembowski & Goode (1992), or Suárez et al. (2006), and 3rd-order terms have been developed by Soufi et al. (1998). While perturbative methods are expected to be accurate enough for slowly rotating stars, their true domain of validity cannot be determined in the absence of exact calculations to compare them with.
In the past few years, calculations of p modes with both
the centrifugal distortion and the Coriolis force have been performed
in polytropic models of stars (Lignières et al. 2006; Reese et al. 2006) and realistic 2D stellar structures (Reese et al. 2009; Lovekin & Deupree 2008). Lignières et al. (2006) and Reese et al. (2006) have shown that, above
,
perturbation methods fail to reproduce low-degree and low-order p-mode frequencies (
and
)
with the accuracy of CoRoT long runs. The structure of the modes is
also drastically modified, and this leads to deep changes in the
structure of the p-mode spectrum (Lignières & Georgeot 2008; Reese et al. 2008; Lignières & Georgeot 2009).
We used an oscillation code based on Reese et al. (2006) to perform g-mode calculations with a complete description of the rotational effects on the modes. In this paper, we focus on the limits of validity for perturbative methods. The models and the method are described in Sect. 2. We then derive the perturbative coefficients from the complete computations (Sect. 3), and compare the results obtained with both methods to determine and discuss the domains of validity for perturbative methods (Sect. 4) before concluding in Sect. 5.
2 Models and methods
We consider fully radiative stars for this work. Since the gravity
modes are driven by the buoyancy force, they cannot exist in convective
regions. SPB and Dor
stars have large radiative zones with a convective core, and even a
thin convective envelope for the latter. The effects of convective
cores are not considered here, since we are mainly interested in the
general behavior of g modes under rotation effects.
2.1 2D stellar models
As in Lignières et al. (2006) and Reese et al. (2006), we approximate the equilibrium structure of rotating stars with self-gravitating uniformly-rotating polytropes. They are described in the co-rotating frame by the three following equations:
![]() |
(1) | |
![]() |
(2) | |
![]() |
(3) |
where po is the pressure,




![]() |
(4) |
with s the distance to the rotation axis. Due to the centrifugal distortion, the star is not spherical and a suited surface-fitting spheroidal system of coordinates






To approximate a fully radiative star, we chose the polytropic index .
We considered models spinning with rotation frequency
between 0 and
,
where
is the Keplerian break-up rotation rate for a star of mass M and equatorial radius
.
2.2 Linearized equations for the oscillations
In the co-rotating frame, the equations governing the temporal evolution of small adiabatic inviscid perturbations of the equilibrium structure read, in the co-rotating frame,
where





![]() |
Figure 1:
(Top) Map in the meridional plane of the Brunt-Väisälä frequency No for the model with
|
Open with DEXTER |
![]() |
Figure 2:
Spectrum
|
Open with DEXTER |
The 2D distribution of the Brunt-Väisälä frequency is shown in Fig. 1 for the most rapidly rotating model we have considered, together with the profiles of No along the polar and equatorial radii, which are compared to the No profile
of the nonrotating star. Within about the inner half of the star, the
deviations from sphericity induced by the centrifugal force remain
limited. We also see that No diverges at the surface of the polytrope because
and po vanish there.
Looking for time-harmonic solutions
of the system (5)-(8),
we obtain an eigenvalue problem, which we then solve using the
two-dimensional oscillation program (TOP). The details of this
oscillation code closely follow Reese et al. (2006). The equations are projected on the spherical harmonic basis
.
Due to the axisymmetry of the system, the projected equations are decoupled relatively to the azimuthal order m, but in contrast to the spherical non-rotating case, they are coupled for all degrees
of the same parity.
2.3 Resolutions and method accuracy
The different sources of error of our numerical method have been discussed in Valdettaro et al. (2007) and tested in a context similar to the present one in Lignières et al. (2006) and Reese et al. (2006).
The numerical resolution has been chosen to ensure a sufficient
accuracy for the computed frequencies. In the horizontal direction, the
resolution is given by the truncation of the spherical harmonics
expansion. The highest degree of the expansion is
and, for most of the calculations presented here, we used L = 40+|m|, i.e.
coupled spherical harmonics.
In the pseudo-radial direction
,
the solution has been expanded over the set of Chebychev polynomials up to nr=96.
Using higher resolutions (nr = 96, L = 80 and nr = 144, L = 80), we find that the relative agreement of the frequencies always remains better than 5 10-8. It also does not affect the mode significantly as illustrated in Fig. 2 where the spectral expansion of the radial velocity component of the
mode at
is displayed for the three different resolutions. Figure 2 also shows that a unique - or even a few - spherical harmonics would not properly describe such an eigenmode.
2.4 Following modes with rotation
We computed the frequencies of
to 3 modes in a nonrotating polytrope. We recall that without
rotation the system to solve becomes decoupled with respect to
,
hence the modes are represented with only one spherical harmonic. A reference frequency set,
,
was computed from a 1D polytropic model with a radial resolution nr=512.
We then followed the variation in frequency of each mode of degree ,
azimuthal order m0, and radial order n0
by slowly increasing the rotation rate, step by step. The
Arnoldi-Chebychev method requires an initial guess for the frequency,
and returns the solutions that are the closest to this guess. The guess
we provide is extrapolated from the results at lower rotation rates: we
compute from the three last computed points a quadratic extrapolation
at the desired rotation rate. For the first point (
),
we use the frequency obtained in 1D as a guess. For the second
point, we extrapolate a guess with the asymptotic relation
(Ledoux 1951).
Among the solutions found around the initial guess, we select the correct one by following this strategy:
- 1.
- For each calculated mode, we determine, from its spatial spectrum (like the ones shown Fig. 2), the two dominant degrees,
and
.
- 2.
- We compare
and
with the degree
of the mode we are following.
- 3.
- We select the solutions such that
; if none of the solutions verifies this criterion, we select the solutions such that
.
- 4.
- If more than one solution has been selected at this point, we
consider the projection of the modes on the spherical harmonic
and compare it to the projection of the mode at a lower rotation rate. The solution that gives the highest correlation is finally selected.


![]() |
Figure 3:
Evolution with the rotation rate of the frequency of the modes
|
Open with DEXTER |
The second difficulty comes from the so-called avoided crossings. Two modes with the same m and the same parity cannot have the same frequency. This implies that the two curves associated to their evolution with
cannot cross each other. Figure 3 illustrates this phenomenon with modes
and
:
the frequencies get closer and closer, but since the curves cannot
cross, the modes exchange their properties. During an avoided crossing,
the two modes have the mixed properties of the two initial modes.
With our mode-following method, when the coupling is strong and the
avoided crossing takes long, the method can follow the wrong branch.
For instance, in the case illustrated in Fig. 3, if the program follows the
mode, it continues sometimes on the
branch instead of jumping to the other branch.
3 Perturbative coefficients
The approach used to determine the perturbative coefficients in this paper is very close to the one of Reese et al. (2006).
3.1 Determining perturbative coefficients
In the perturbative approach, frequencies are developed as a function of the rotation rate, .
For instance, to the 3rd order, it reads
where







The coefficients
can be numerically calculated from the complete computations since they are directly linked to the j-th derivative of the function
at
.
However, to improve the accuracy, we use symmetry properties of the problem: changing
in
,
one easily shows that
![]() |
(11) |
We define
and get
We note that

We compute
and
on a grid of k points from
to
and use the Eqs. (15) and (16) to calculate the terms
with the (k-1)-th-order interpolating polynomials. The determination of the coefficients
is then accurate to the (2k-1)-th-order in
.
In practice we use a typical step
10-3 and k=4. In Eq. (14), we use
,
making it totally independent of the 1D solutions.
By explicitly expressing the dependence on m of the perturbative coefficients, Eq. (10) becomes
The form of the 1st order comes from Ledoux (1951), the 2nd order from Saio (1981), and the 3rd is derived from Soufi et al. (1998). We have verified that the derived coefficients fit these relations with a very good accuracy (see below) and list them in Table 1.
Table 1:
Perturbative coefficients (see development Eq. (17)) for g modes with frequency
,
radial order
,
and
in a polytropic stellar model with an index
.
To know the coefficients for another normalization, for instance for
,
one can use the following development:
![]() |
(18) |
The perturbed frequencies in this new normalization then express
From our models we have computed

3.2 Coefficient accuracy and comparisons with previous works
The zeroth-order coefficients
were compared to the 1D computations and we find agreement within 10-9. We also compared our results to previous frequency computations of in a nonrotating polytropic model performed by Christensen-Dalsgaard & Mullan (1994)
with a totally different method. We renormalized their results for
g modes (Table 4 of their paper) to their dynamical frequency
(Eq. (3.2) of their paper). The relative differences with our results do not exceed 5
10-8.
The choice for the step
is important for the accuracy of the terms
.
Ideally, we should choose
as small as possible, but when it is too small, the numerical noise, produced by the uncertainties on the computed
(Sect. 2.3), drastically increases. We then chose the value of
to have the best trade-off. These uncertainties on
determinations were taken into account for the estimated accuracy of the coefficients
,
and
.
The 1st-order perturbative coefficients
are expressed with integrals of the eigenmodes in the nonrotating model (Ledoux 1951). We then computed these terms with our 1D eigensolutions and compared them to
.
The results are consistent within 10-8.
An explicit computation of 2nd- and 3rd-order coefficients requires
calculating the 1st- and 2nd-order corrections of the eigenfunctions,
which is not so straightforward. It is the reason we performed a
direct numerical computation of these coefficients. The numerical
errors we estimated for
and
are generally around 10-5 and always less than 10-4. We then checked the consistency of our computations with the 2nd-order calculations of Saio (1981) for g modes with n=1 to 3. In this work, all frequencies were normalized by the dynamical frequency
of the nonrotating polytrope. By noticing that
with
,
and using the relation (19),
we were able to compare these results with ours. We get a good
qualitative agreement with absolute differences better than 10-2,
which is reasonable relative to the lower accuracy of Saio's
computations. It gives an interesting consistency check for our
calculations. Overall, the perturbative coefficients listed in
Table 1 have been determined with high accuracy.
4 Domains of validity of perturbative approaches
From the previously computed coefficients, we calculated mode
frequencies with the 1st to 3rd-order perturbative approximations for
rotation rates ranging from
to
and compared them to complete computations. Figure 4 illustrates such a comparison by showing the evolution of the frequencies of the seven m components of an
mode
together with their 2nd-order perturbative approximation. We clearly
observe that the agreement between both approaches at low rotation
progressively disappears as the rotation increases.
![]() |
Figure 4:
Evolution with the rotation rate of the frequencies of the components of the ( |
Open with DEXTER |
To define the domains of validity of perturbative approaches, we fix the maximal departure
allowed between the perturbed frequencies
and the ``exact'' ones
.
For each mode and each approximation order, we define the domain of validity
,
such that
.
The precision of the observed frequencies
can be related to the normalized error
through
From this expression, we see that, for a fixed precision



















![]() |
Figure 5:
Evolution of the frequencies of
|
Open with DEXTER |
We have determined the domains of validity of 1st-, 2nd-, and 3rd-order methods for low-degree
modes. Specifically, we considered
modes with n=1 to 14, and
and 3 low-order (n=1 to 5), and high-order (n=16 to 20) modes. The domains of validity are shown in Fig. 5 for both types of stars. Overall, the domains of validity extend to higher rotation rates for B stars than for
Dor stars. This is simply due to the increase in the normalized tolerance
.
Besides, we observe distinct behaviors in the high- and low-frequency ranges.
In the high-frequency range, 2nd-order perturbative methods give satisfactory results up to 100 km s-1 for
Dor stars and up to
150 km s-1 for B stars. The 3rd-order terms improve the results and increase the domains of validity by a few tens of km s-1.
These results are to be contrasted with those found for p modes
where the domains of validity are restricted to lower rotation rates.
For
Scuti stars, which have similar stellar parameters to
Dor, Reese et al. (2006) find
50-70 km s-1
as a limit for perturbative methods. In addition, the 3rd-order
terms do not improve the perturbative approximation in this case, as p
modes are weakly sensitive to the Coriolis force. The rather good
performance of perturbative methods at describing high-frequency
g modes indicates in particular that the 2nd-order term gives a
reasonable description of the centrifugal distortion. This might be
surprising considering the significant distortion of the stellar
surface (
at
).
Actually, the energy of g modes is concentrated in the inner part
of the star where the deviations from sphericity remain small
(as shown in Fig. 1-top).
As a result, g modes ``detect'' a much weaker distortion that
is
then amenable to a perturbative description. A particular feature
that induces a strong deviation from the perturbative method concerns
mixed pressure-gravity modes that arise as a consequence of the
centrifugal modification of the stellar structure. For example, we
found that, above a certain rotation rate, the
mode
becomes a mixed mode with a p-mode character in the outer low-latitude
region associated with a drop in the Brunt-Väisälä frequency No (see Fig. 1).
The domains of validity of perturbative methods are strongly reduced in the low-frequency range.
For Dor stars, 2nd-order perturbative methods are only valid below
50 km s-1.
Indeed, a striking feature of Fig. 5 is that perturbative methods fail to recover
the correct frequencies in the inertial regime
(delimited by a magenta curve).
In particular, we observe that, although increasing the tolerance
between
the left (
Dor) and right (B star) panels subtantially extends the domains of validity in the
regime, very little improvement is observed in the
regime.
In the following, we argue that the failure of the perturbative method in the subinertial regime
is related to changes in the mode cavity that are not taken into
account by the perturbative method. Indeed, we observed that modes in
the inertial regime do not explore the polar region and that the
angular size of this forbidden region increases with
.
This is illustrated in Fig. 6
for a particular mode. Such a drastic change in the shape of the
resonant cavity has a direct impact on the associated mode frequency.
As perturbative methods totally ignore this effect, they cannot
provide an accurate approximation of the frequencies in
this regime.
This interpretation is supported by the analytical expression of the forbidden region determined by Dintrans & Rieutord (2000) for gravito-inertial modes. Indeed for frequencies
,
modes are mixed gravity-inertial modes, since the Coriolis force
becomes a restoring force. In the context of their spherical model, and
within the anelastic approximation and the Cowling approximation, they
have shown that gravito-inertial waves with a frequency
only propagate in the region where
This implies that, when

![$\theta_{\rm c}=\arcsin[\omega/(2\Omega)]$](/articles/aa/full_html/2010/10/aa14426-10/img150.png)




5 Conclusion
In the present work, we have computed accurate frequencies for
g modes in polytropic models of uniformly spinning stars. We
started from high- and low-frequency, low-degree (
)
g modes of a nonrotating star and followed them up to
.
This allowed us to provide a table of numerically-computed perturbative
coefficients up to the 3rd order for a polytropic stellar
structure (with index
).
This table can serve as a reference for testing the implementation of
perturbative methods. We then determined the domains of validity of
perturbative approximations. For the high-frequency (low-order) modes,
2nd-order perturbative methods correctly describe modes up to
for
Dor stars and up to
for B stars. The domains of validity can be extended by a few tens of km s-1
with 3rd-order terms. However, the domains of validity shrink at low
frequency. In particular, perturbative methods fail in the
inertial domain
because of a modification in the shape of the resonant cavity.
![]() |
Figure 6:
(Left) Meridional distribution of kinetic energy
|
Open with DEXTER |
In a next step, we plan to compare our complete computations with the so-called traditional approximation, which is also extensively used to determine g-mode frequencies (e.g Lee & Saio 1997; Berthomieu et al. 1978). We will also analyze how rotation affects the regularities of the spectrum - such as the period spacing - and compare it to the predictions of the perturbative and traditional methods. In the present study, we have focused on low-degree modes, but a more complete exploration clearly needs to be performed. In particular, we might look for the singular modes predicted by Dintrans & Rieutord (2000). It requires to take care of dissipative processes, which play an important role in this case.
AcknowledgementsThe authors acknowledges support through the ANR project Siroco. Many of the numerical calculations were carried out on the supercomputing facilities of CALMIP (``CALcul en MIdi-Pyrénées''), which is gratefully acknowledged. The authors also warmly thank Boris Dintrans for discussions and useful comments on this work. D.R.R. gratefully acknowledges support from the CNES (``Centre National d'Études Spatiales'') through a postdoctoral fellowship.
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All Tables
Table 1:
Perturbative coefficients (see development Eq. (17)) for g modes with frequency
,
radial order
,
and
in a polytropic stellar model with an index
.
All Figures
![]() |
Figure 1:
(Top) Map in the meridional plane of the Brunt-Väisälä frequency No for the model with
|
Open with DEXTER | |
In the text |
![]() |
Figure 2:
Spectrum
|
Open with DEXTER | |
In the text |
![]() |
Figure 3:
Evolution with the rotation rate of the frequency of the modes
|
Open with DEXTER | |
In the text |
![]() |
Figure 4:
Evolution with the rotation rate of the frequencies of the components of the ( |
Open with DEXTER | |
In the text |
![]() |
Figure 5:
Evolution of the frequencies of
|
Open with DEXTER | |
In the text |
![]() |
Figure 6:
(Left) Meridional distribution of kinetic energy
|
Open with DEXTER | |
In the text |
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