Issue |
A&A
Volume 512, March-April 2010
|
|
---|---|---|
Article Number | A59 | |
Number of page(s) | 12 | |
Section | Planets and planetary systems | |
DOI | https://doi.org/10.1051/0004-6361/200809970 | |
Published online | 01 April 2010 |
Orbital parameters of extrasolar planets derived from polarimetry
D. M. Fluri1 - S. V. Berdyugina2,3
1 - Institute of Astronomy, ETH Zurich, 8093 Zurich, Switzerland
2 - Kiepenheuer Institut für Sonnenphysik, Schöneckstr. 6, 79104 Freiburg, Germany
3 - Tuorla Observatory, University of Turku, 21500 Piikkiö, Finland
Received 4 September 2009 / Accepted 29 December 2009
Abstract
Context. Polarimetry of extrasolar planets becomes a new
tool for their investigation, which requires the development of
diagnostic techniques and parameter case studies.
Aims. Our goal is to develop a theoretical model which can be
applied to interpret polarimetric observations of extrasolar planets.
Here we present a theoretical parameter study that shows the influence
of the various involved parameters on the polarization curves.
Furthermore, we investigate the robustness of the fitting procedure. We
focus on the diagnostics of orbital parameters and the estimation of
the scattering radius of the planet.
Methods. We employ the physics of Rayleigh scattering to obtain
polarization curves of an unresolved extrasolar planet. Calculations
are made for two cases: (i) assuming an angular distribution for
the intensity of the scattered light as from a Lambert sphere and for
polarization as from a Rayleigh-type scatterer; and (ii) assuming
that both the intensity and polarization of the scattered light are
distributed according to the Rayleigh law. We show that the difference
between these two cases is negligible for the shapes of the
polarization curves. In addition, we take the size of the host star
into account, which is relevant for hot Jupiters orbiting giant stars.
Results. We discuss the influence of the inclination of the
planetary orbit, the position angle of the ascending node, and the
eccentricity on the linearly polarized light curves both in Stokes Q/I and U/I.
We also analyze errors that arise from the assumption of a point-like
star in numerical modeling of polarization as compared to consistent
calculations accounting for the finite size of the host star. We find
that errors due to the point-like star approximation are reduced with
the size of the orbit, but still amount to about 5% for known hot
Jupiters. Recovering orbital parameters from simulated data is shown to
be very robust even for very noisy data because the polarization curves
react sensitively to changes in the shape and orientation of the orbit.
Conclusions. The proposed model successfully diagnoses orbital
parameters of extrasolar planets and can also be applied to predict
polarization curves of known exoplanets. Polarization curves of
extrasolar planets thus provide an ideal tool to determine parameters
that are difficult to obtain with other methods, namely inclination and
position angle of the ascending node of orbits as well as true masses
of extrasolar planets.
Key words: polarization - scattering - methods: numerical - eclipses - planetary systems
1 Introduction
Direct observations of extrasolar planets succeeded only recently by measuring infrared thermal emission with the Spitzer Space Telescope (Deming et al. 2006; Harrington et al. 2006; Deming et al. 2005; Charbonneau et al. 2005), polarimetric measurements (Berdyugina et al. 2008), and direct imaging (Marois et al. 2008). Polarimetry as a method to investigate extrasolar planets is particularly valuable because it involves direct observation of light scattered by the planetary atmosphere and reveals information about the chemical composition, the physical structure, and the evolution of the planetary atmosphere. So far the identification of atmospheric constituents is limited to transmission spectroscopy of transiting extrasolar planets (Charbonneau et al. 2002; Tinetti et al. 2007; Vidal-Madjar et al. 2003,2004), while polarimetry is capable of expanding these studies for non-transiting planets.
The first successful polarimetric detection of an extrasolar planet by Berdyugina et al. (2008) (see also new data and discussion on non-detections in Berdyugina et al. 2009) opens new perspectives for diagnosing the physical properties of planetaryatmospheres and underlines the urgent need for the development of theoretical tools to interpret the data. Polarization signals of extrasolar planets have already been numerically simulated by several authors, who in particular investigated the influence of various scattering particles resulting from different atmospheric compositions. Seager et al. (2000), Saar & Seager (2003), and Hough & Lucas (2003) have discussed close-in extrasolar giant planets with orbital radii smaller than 0.05 AU, which are thus unresolved and relatively hot, while Stam et al. (2004) studied the flux and polarized spectra of resolved Jupiter-like planets in larger orbits. In contrast to others Sengupta & Maiti (2006) have considered elliptical rather than circular orbits to calculate the polarization in the R passband due to scattering by water and silicate condensates, taking the planetary oblateness also into account.
Most of these previous numerical simulations present light curves or spectra of the total degree of polarization only. They additionally are restricted by the approximation of the host stars as point-sources. However, the actual observables obtained from polarimeters are the Stokes parameters, not the total degree of polarization. It is obvious that part of the information concerning the orbital parameters is lost when forming the total degree of polarization. Moreover, the polarimetric method is well suited to detect extrasolar planets that closely orbit giant stars where the description of the host star as a point-source becomes questionable.
The numerical work has mainly concentrated so far on the red and near infrared parts of the spectrum, where the detailed composition of the atmosphere and the shape and size of the scattering particles play an important role. Also, the unsuccessful polarimetric detections of exoplanets were reported for red and green wavelengths (Wiktorowicz 2009; Lucas et al. 2009). The first successful detection of polarization from an extrasolar planet was obtained in the B and U passbands though (Berdyugina et al. 2008,2009) for HD189733b. As thoroughly discussed and modeled by Berdyugina et al. (2009), this clearly indicates an atmosphere in which Rayleigh scattering plays a dominant role. The same conclusion was reached in a multi wavelength analysis of planetary transit curves (Lecavelier Des Etangs et al. 2008; Pont et al. 2008). In this atmosphere, a maximum polarization amplitude in green (red) wavelengths is at least a factor of two (ten) smaller than that in the B-band. This would explain the non-detections by Lucas et al. (2009) and Wiktorowicz (2009). In this paper we concentrate on Rayleigh scattering and exclude Mie scattering, as the latter has not yet been detected in any extrasolar planet. We leave the case of Mie scattering for later studies.
We discuss numerical simulations of polarized light curves obtained from Rayleigh scattering on unresolved extrasolar planets, particularly actually observed Stokes Q/I and U/I phase curves. The modeling strategy introduced here has been applied for the interpretation of the recently obtained polarimetric data for HD 189733b (Berdyugina et al. 2008). We describe here the numerical model in detail, perform a theoretical parameter study for involved parameters, verify the validity of the Lambert sphere approximation, and test the stability of the procedure to fit observations. At this stage we concentrate on orbital parameters, in general for eccentric orbits, and on the planetary radius, which represents the first step when interpreting data and is sufficient for the currently available observations and polarimetric precision. Particular attention is paid to the correct treatment of the size of the host star.
2 Modeling polarization of extrasolar planets
2.1 Model assumptions
In this section we describe the numerical model for computing the polarization signal from extrasolar planets. We employ the following main assumptions:
- the intensity of the scattered light is given either by the Lambert sphere or by Rayleigh scattering;
- the polarization is defined by the Rayleigh scattering law;
- the host star has a finite size;
- the direct irradiance from the star is unpolarized;
- the planet is unresolved from the host star;
- the radius of the planet is much smaller than the stellar radius;
- the thermal emission from the planet is neglected.
By considering the finite size of the host star we have to take into account that different parts on the stellar surface have in general individual distances to the planet because of the spherical shape of the star. In our calculations the surface of the star is divided into individual pixels. They are chosen to be small enough so that all light rays emitted from one stellar surface element arrive nearly parallel on the planetary atmosphere, which requires our assumption that the planet is small compared to the star. Therefore the incident radiation from one single stellar pixel results in a contribution to the scattered radiation that can be computed as in the case of a point-like star. In general, the incident flux, the scattering angle, and the phase angle differ for every pixel. The total scattered radiation field is obtained simply by adding up the contributions from all stellar surface elements. It is crucial to consider only the actually visible stellar surface as seen from the position of the planet, which approaches exactly one stellar hemisphere for very distant planets, but is in general smaller than that for close-by planets.
The ideal size of the stellar pixel in principle depends on the stellar radius and the size of the planetary orbit. For the calculations presented in this paper we chose a pixel size of one degree both in longitude and latitude. Pixel sizes of more than five degrees have occasionally lead to inaccurate results in test calculations. For smaller pixels the computed flux and polarization were always independent of the pixel size, as long as it is still high enough to prevent numerical errors due to the machine precision. At the end of this section we briefly review the results for a point-like host star compared with an extended star for completeness' sake.
2.2 Lambert-Rayleigh approximation
The flux F from the unresolved planetary system measured by a distant observer consists of two parts, namely
where


The direct flux is given by
with



which scales the intensity at the surface of the star. The direct stellar flux then simplifies to

In this paper we used two sets of coefficients, one for a hypothetical exoplanet orbiting a giant star ( a1 = 0.4908, a2= -0.5346, a3 = 1.2703, a4 = -0.2889) and another one for the Sun ( a1=0.4767, a2 = -0.1591, a3=1.0711, a4=-0.5154), both approximating the limb darkening in the B passband (Claret 2000).
To obtain the scattered flux
we considered the total energy incident on the planet per second and frequency unit from one single stellar surface element
where the index ``p'' indicates that the corresponding quantity depends on the selected stellar surface element or pixel. The parameter r represents the radius of the planet, i.e.








is scattered towards the observer. Here



Combining Eqs. (5) and (6) we find the contribution to the flux that is scattered by the planet towards a distant observer
The integral is carried out over the visible surface of the star as seen from the planet. It is easily verified that the scattered flux

Scattering polarization was added in an ad hoc fashion, because a Lambert sphere scatters the incident radiation isotropically and in principle unpolarized. We estimated the polarization in a similar way as was done by Seager et al. (2000) for a Lambert sphere, thus creating an idealized case, which is sufficient to discuss the influence of orbital parameters on the polarization curves. The calculated degree of polarization defines an upper limit, so that an inferred planetary radius corresponds to a lower limit.
We employed two different reference frames to represent the Stokes Q and U parameters. The final results are all given with respect to celestial north for the observer on Earth, so that a positive Stokes Q describes light that is linearly polarized parallel to the local meridian of the observer. This first reference frame is referred to as the ``observer's frame''. A different reference frame is temporarily used while adding up contributions from different stellar surface elements, where we define the Stokes parameters with respect to the scattering plane so that positive Stokes Q represents light that is linearly polarized perpendicular to the scattering plane.
Here we assumed that light incident on the planet is scattered and that the resulting Stokes Q and U
are defined by Rayleigh scattering. Considering scattered light
originating from one stellar surface element, and choosing the
scattering plane as the reference frame (indicated by primed
variables), we obtained a contribution to Stokes Q' given by
while



The Mueller rotation matrix L is defined by (e.g. Stenflo 1994)
where

2.3 Rayleigh scattering
Let us now consider the case when both the intensity and polarization of the light scattered in the planetary atmosphere are distributed according to the Rayleigh law. This implies solving a self-consistent radiative transfer problem. Here we solved this problem under the assumptions (in addition to those mentioned in Sect. 2.1) that
- the atmosphere is plane-parallel and static and consists of homogeneous layers;
- the planet is spherically symmetric;
- the radiation entering the atmosphere is unidirectional and unpolarized;
- an incoming photon is either absorbed or scattered in the continuum;
- an absorbed photon does not alter the atmosphere (model atmosphere includes effects of irradiation);
- single scattering approximation (a photon might still be extinct after scattering).
with the total source function
where




The Rayleigh source function
is expressed as usual via the Rayleigh phase matrix
,
depending on the directions of the incident and scattered light. It has
contributions from scattering of both the intrinsic thermal emission
and incident stellar light. However, in the blue part of the spectrum,
where the polarization signal due to Rayleigh scattering is the
largest, the intensity of the thermal emission is negligible compared
to that of the reflected light. This is in contrast to the assumption
by Sengupta (2008)
who neglected the polarization of the reflected light and took only
into account the polarization of the thermal emission to interpret
measurements in the B passband. In this case he had to
also assume a non-negligible oblateness of the planet. This approach
can only be justified to explain polarization in red/infrared
wavelengths which has not yet been detected.
Taking into account that the incident stellar radiation is
unidirectional (in case of a finite-size star the radiation comes from
a given stellar pixel), we obtain
where for single scattering
and


![]() |
Figure 1: Normalized phase
functions for the Lambert sphere (dashed line) and the Rayleigh law
(solid line). The calculation is for a circular planetary orbit with
the inclination
|
Open with DEXTER |
The Stokes vector of the reflected light is obtained by solving the
radiative transfer problem as described above for a given vertical
distribution of the temperature and opacity in a planetary atmosphere.
The radiation flux is then obtained by integrating the Stokes vector
over the illuminated planetary surface with a coordinate grid on the
planetary surface. Our tests have shown that a grid of
is sufficient to achieve the necessary accuracy. Thus the phase function
is in this case numerically evaluated.
Our model includes the following opacity sources: (i) Rayleigh scattering on H, H2, He, H2O, CH4, and Thomson scattering on electrons, with all scattering species contributing to polarization; and (ii) continuum absorption due to H, H-, H2+, H2-, He, He-, Si, Mg, and Fe. The number densities of the species were calculated with a chemical equilibrium code described in Berdyugina et al. (2003). For an example calculation presented in Sect. 2.4 we employed standard model atmospheres by Allard et al. (2001). For interpreting real data, models of irradiated atmospheres are to be used.
2.4 A comparison between the two cases
The difference between the above two cases is in the angular
distribution of the intensity of the scattered light: in the first
case, it is assumed to be according to the Lambert sphere law, while in
the second case, it is according to the Rayleigh law. Consequently the
corresponding phase functions
and
are certainly different, and it is important to evaluate the resulting difference in polarization curves.
The shapes of the functions
and
(normalized to their maxima) are shown in Fig. 1. Their behavior with the orbital phase (which differs from the phase angle
)
is as expected: the maximum illuminated area is observed at the
exterior conjunction (``full moon'', phase 0.5), while the minimum
is at the interior one (``new moon'', phase 0.0). Some differences
between the two functions are seen in their gradients, which are due to
the different angular dependencies of Rayleigh scattering and a Lambert
sphere. The Rayleigh phase function also depends on the wavelength, but
this effect is significantly smaller. Note that we normalized the
plotted phase functions to one at their maxima to make the comparison
of the shapes more apparent. In reality the two curves differ somewhat
in scale depending on the detailed properties of the model atmosphere
employed in the Rayleigh scattering case, with negligible influence on
polarization.
The polarization curves resulting from these phase functions are shown in Fig. 2. The overall scale of polarization obviously differs for the two cases. Therefore we have changed the scale of the Rayleigh law results for an easy comparison of the curve shapes. The shapes of the polarization curves do not differ by a measurable amount for the case considered in this paper, i.e., when the reflected light is significantly dimmer than the direct stellar light and the planet remains spatially unresolved. This is because of the normalization of the Stokes parameters to the total flux from the system. For resolved planets, the differences between the shapes of the polarization curves of the Rayleigh and Lambert cases increase but still remain small. This renders the Lambert sphere law a good approximation for the intensity of the reflected light, especially when obtaining orbital parameters of planets, which is the primary goal of our case study. To determine the composition and thermodynamic properties of the planetary atmosphere, a self-consistent polarized radiative transfer calculation as presented in Sect. 2.3 is required.
![]() |
Figure 2: Polarization curves obtained with the phase functions presented in Fig. 1. The scale of the Rayleigh law curves has been adjusted to fit the Lambert sphere curves. The differences between the shapes of Stokes Q and U are negligible given the current best accuracy of polarimetric measurements. Thus the Lambert sphere approximation for the intensity of the reflected light is justified for this case. |
Open with DEXTER |
2.5 Host star as a point-source
We will compare the model described above for an extended host star
with the simplified case, in which the star is treated as a point
source. This case is applicable if the semi-major axis of the planetary
orbit exceeds the radius of the star, so that all light rays from the
star can be assumed to arrive parallel on the planet. Hence the total
flux at the observer with the normalization condition in Eq. (3) is given by
where D is the distance between the star and the planet. The two parts in Eq. (16) correspond to the direct stellar flux and the flux scattered by the planet, respectively. Since the incident radiation arrives parallel on the planet, it is sufficient to consider only one phase angle


With respect to the scattering plane Stokes U' = 0 and
which can be converted to the observer's frame with the Mueller rotation matrix L given in Eq. (11).
3 Parameter study of polarization phase curves
We perform in this section a parameter study and discuss the influence of different parameters on the Q/F and U/F phase curves and on the degree of polarization
.
Since we showed in Sect. 2.4
that polarization curves calculated with the Lambert-Rayleigh
approximation do not differ from those based on the self-consistent
radiative transfer case for unresolved systems, here we employ the
first case for simplicity.
We considered the inclination of the planetary orbit i, the position angle of the ascending node ,
the eccentricity e, and the longitude of the periastron
.
In addition we compared models with extended and point-like stars to
determine the parameter range for which the latter model serves as a
good approximation.
Most features of the polarized phase curves can be understood in terms of only a few quantities (cf. Eq. (17)):
- 1.
- The polarization depends on the scattering angle
: it is the largest for 90
scattering at elongation and drops to zero for backward and forward scattering due to geometrical reasons.
- 2.
- The greater the phase function
, the larger the polarization, since
describes the fraction of the incident light scattered towards the observer. The phase function reaches the maximum at the smallest phase angle when the planet is farthest away from the observer and the minimum at the largest phase angle when the planet is closest to the observer.
- 3.
- The polarization scales with the inverse square of the distance D from the star to the planet, in accordance with the incident flux. In the case of elliptical orbits D varies with the orbital phase.
- 4.
- The larger the radius of the planet, the larger the scattering surface and polarization.
- 5.
- The linear polarization is always directed perpendicular to the scattering plane, i.e. perpendicular to the direction from the star to the planet as seen in projection on the sky (we neglect here effects of magnetic fields). Therefore, the linear polarization generally rotates while the planet orbits the star, so that Stokes Q and U are exchanged and change their signs.





3.1 Inclination of the planetary orbit
First we discuss the inclination i of the planetary orbit. It is defined in a way that the values between 0
and 90
correspond to the counter-clockwise rotation of the planet as seen in projection by the observer, while angles between 90
and 180
indicate the clockwise rotation. The orbit is seen edge-on at an inclination
.
Figure 3 illustrates how the inclination i affects the linear polarization at different times of the planet period, for simplicity in the case of a circular orbit. Basically it dictates how strongly the extrema of the polarization curves are pronounced. As always for circular orbits, we defined the time zero t0 by the passage of the planet through the largest phase angle, i.e. when it is closest to the observer. The orbital phase represents the fractional time passed within one orbit relative to t0.
When looking face-on onto the orbit, i.e. with
or
,
the degree of polarization remains constant because the planet is
always seen under the same phase angle. Still the rotation of the
linear polarization leads to a sine-like variation of Stokes Q and U with the same amplitudes, but a phase shift of 90
.
The closer to edge-on we observe the orbit, the closer Stokes Q, Stokes U,
and polarization approach zero for the orbital phase 0.0. This
minimum in polarization is very broad because the phase function and
(forward scattering) are simultaneously small. Interestingly, both Q/F and U/F are usually very small near t0, except for inclinations below 30
,
a helpful feature for the determination of the zero point of the polarization scales (cf. Sect. 4). The polarization maxima occur near maximum elongations, where
,
but slightly shifted towards smaller phase angles (i.e. closer to orbital phase
), because for those phases the illuminated fraction of the planetary disk increases for the observer towards
.
![]() |
Figure 3:
Polarization curve dependence on inclination of the planetary orbit. The inclinations cover
|
Open with DEXTER |
For the specific choice of
in Fig. 3 all Q/F curves are symmetric with respect to phase
,
while all U/F curves are antisymmetric. This indicates that the shape of Q/F is independent of the direction into which the planet moves within the orbit and thus identical for orbits with inclinations i and 90
-i. On the contrary, U/F changes its sign for opposite rotation directions (cf. the solid and dash-triple-dotted curves in Fig. 3). Note however note that these features depend on
.
We also found that the extrema shift with inclination, not so much in the total degree of polarization, but clearly in Q/F and U/F. If we look for example at the
case (dashed curve, Fig. 3), we find that the two main extrema of U/F occur relatively close to phase
,
even closer than the two maxima of Q/F, which is obvious from geometrical considerations. As we will clarify in the subsection below these properties of Q/F and U/F can be exchanged by variations of the position angle of the ascending node
.
Our model will allow us to significantly improve the mass determination
of extrasolar planets, for most of which only a lower limit
is known. According to the standard model of planet formation we expect
that the angle between the inclination of the planetary orbit and the
spin axis of the host star is small as in the case of the solar system.
Indeed, it was found to be less than 11
in the sample of three transiting exoplanets for which the alignment was determined (Winn et al. 2005; Wolf et al. 2007; Winn et al. 2006).
Therefore the measurement of the polarization curves, which are very
sensitive to the inclination of the orbit as discussed above,
represents a powerful method to constrain also the inclination
of the stellar spin axis to within a few degrees.
3.2 Position angle of the ascending node
![]() |
Figure 4:
Polarization curve dependence on the position angle of the ascending node |
Open with DEXTER |
A variation of the position angle of the ascending node
rotates the orbit around the line-of-sight and is analogous to the
rotation of the reference frame for polarization. The degree of
polarization remains unaffected accordingly, but the plane of linear
polarization rotates, as shown in Fig. 4. While increasing
from 0
(solid) to 45
(dash-dotted) the shape of Q/F changes from being symmetric to antisymmetric (with respect to
)
and effectively takes over the properties of the U/F curve. The opposite is true for U/F. At
(dash-triple-dotted) both curves again reach the same shape as for
,
but with opposite sign.
The polarization curves contain one ambiguity, since they remain unaltered when shifting
by 180
.
This is of course an inherent property of polarization, because Stokes Q and U are not subject to change under a rotation of the plane of polarization by 180
.
3.3 Elliptic orbits
![]() |
Figure 5:
Polarization curve dependence on the eccentricity. Different curves correspond to e = 0.0 (solid), e = 0.2 (dotted), e = 0.4 (dashed), and e = 0.7 (dash-dotted). Further parameters: a = 0.05 AU,
|
Open with DEXTER |
![]() |
Figure 6:
Polarization curve dependence on the periastron longitude for eccentric orbits. Different curves correspond to
|
Open with DEXTER |
In the case of eccentric orbits we need to distinguish two additional
parameters that affect the polarization curves in a different manner,
namely the eccentricity e and the periastron longitude .
For eccentric orbits we choose the periastron passage as zero t0,
because the polarization peaks shift towards the periastron, and the
radial velocity method well constrains the periastron epoch for
elliptic orbits. To allow a comparison with circular orbits we selected
in Fig. 5 so that the periastron epoch coincides with t0 used in Sects. 3.1 and 3.2, where it was defined by the largest phase angle.
The eccentricity e influences the polarization curves in two ways when the semi-major axis is kept fixed: it shifts and scales the extrema of the light curves (Fig. 5). The shift of the extrema results from the varying orbital velocity of the planet. With increasing eccentricity the extrema group closer to the periastron passage, although maximum polarization is generally not reached exactly at the periastron. At the same time most extrema become stronger, in the case shown in Fig. 5 even all extrema, because the planet approaches the star much closer at periastron for eccentric orbits (with fixed semi-major axis). Recall that the incident flux on the planet and thus the scattering polarization scale with the inverse square of the distance D between the star and the planet.
Initially it might sound surprising that all extrema strengthen for elliptic orbits in Fig. 5, since for circular orbits the maximum polarization always occurs at phase angles smaller than 90,
which occur when the planet moves through the part of the orbit around the apastron for our specific choice of
.
However, for very eccentric orbits the phase angle decreases quickly
after the periastron passage, and the phase function exceeds the value
of 0.5 already when the planet moves through the descending node. This
happens when D
is still much smaller than the semi-major axis and long before the
maximum elongation. Moreover the phase angles at which the extrema
occur move closer to the periastron due to the strong dependence of
polarization on the distance D. The distance dependence of the polarization also explains why the extrema in Fig. 5
are strongly scaled up near the periastron passage. By comparing the
circular orbit (solid) with the most eccentric case (dash-dotted) we
find indeed that the inconspicuous minimum of U/F at
in the circular case is shifted to
and scaled up by about a factor of 10, the maximum in Q/F at
(circular case) is increased by a factor of 5, and the maximum of U/F at
(circular case) is scaled up only by about a factor 2.
In Fig. 6 we demonstrate the effect of the longitude of the periastron ,
which in principle rotates and positions the elliptic orbit within the
orbital plane. This results in an enhancement of the polarization curve
extrema that lie closest to the periastron epoch. Therefore some Stokes
U curves in Fig. 6 exhibit pronounced negative peaks that are not apparent for other values of
.
On the other hand, a variation of
can not produce negative (or positive) polarization if it is absent in
the corresponding circular case with the same orbital orientation. Such
an example is visible in Stokes Q of Fig. 6, where strong peaks with negative Q are nonexistent for any
,
as expected from the corresponding circular orbit (solid line, top panel, Fig. 5).
From Fig. 6 we find some symmetry properties that occur with a change of .
The curves with
(or
), with
any angle, are just mirrored at
in the total degree of polarization and in Stokes Q, while in Stokes U they are mirrored at
combined with a sign change (see dotted and dashed curves). In Stokes Q and U this symmetry relation depends on the particular choice of
,
but it holds for any
in the degree of polarization.
3.4 Size of the host star and secondary eclipses
Previous simulations of the polarization signal from exoplanets always assumed that the light from the parent star falls parallel onto the planet (even in the case of hot Jupiters), a model we will refer to as ``point-like'' in the following. However, the assumption of parallel rays incident on the planet clearly fails in the case of hot Jupiters orbiting giants. This necessitates a correct modeling with an extended, finite-sized host star, which takes into account the strong distance dependence of the resulting polarization.
A first immediate effect of models with extended stars is the
possible appearance of transits and secondary eclipses. During a
secondary eclipse the planet moves behind the star as seen from the
line-of-sight, so that Stokes Q and U drop to zero, assuming that the direct stellar light is unpolarized. This effect is illustrated in Fig. 7 where the inclination is varied. A secondary eclipse occurs if the inclination lies in the range
,
where
depends on the relative size of the star and the planetary orbit. The
effect of the eclipse on the polarization curves can be significant and
provides a very sensitive tool to diagnose the orbital inclination and
the orbital phase. Note that the planetary transits lead to much
smaller relative signatures in the intensity light curves because only
the direct stellar flux is slightly reduced. In Fig. 7 the transits remain invisible although they were modeled in our calculations.
The direct comparison of the point-like and extended star models
reveals additional differences of the curves apart from eclipses
(Fig. 8). First we consider the maximum degree of polarization
reached during one orbit as a general measure to compare the two models (Fig. 8a).
The most significant deviations naturally appear for small planetary
orbits, while the two models converge for large orbits as expected. We
find that the two curves representing the two models cross at about a
semi-major axis
.
The exact location of this cross-over depends on the limb-darkening of the star, but always occurs around
.
With a solar limb-darkening the cross-over happens at
.
![]() |
Figure 7:
Influence of secondary eclipses. The curves correspond to three different inclinations:
|
Open with DEXTER |
![]() |
Figure 8:
Comparison of models with extended (solid) and point-like (dotted) stars. a) The panel illustrates the maximum degree polarization during one planetary orbit as a function of the semi-major axis a, which is given in units of the stellar radii. The relative difference is given in the panel underneath. b) Stokes Q curve at a distance
|
Open with DEXTER |
For planetary orbits with semi-major orbits larger than
the point-like star model always somewhat underestimates the maximum
polarization compared to the realistic extended star model. The
difference slightly depends on the stellar limb-darkening, but amounts
to about 10% at the distance
and then continuously reduces for larger orbits to about 5% at the distance of known hot Jupiters (
)
and below 1% at
(almost 0.3 AU for solar analogs). These deviations arise because
the solid angle occupied by the star (as seen from the planet) is
properly calculated in the extended star model, which leads to a
slightly increased incident flux at large distances.
For very small planetary orbits (
)
the point-like star model leads to a maximum polarization that is much
too high, up to a factor of two higher than the realistic extended star
model. At a first glance it might sound surprising that the extended
star model results in a smaller maximum degree of polarization despite
the planet being much closer to the stellar surface. At
the distance planet-stellar surface in the extended star model is
halved compared to the point-like model, which in principles multiplies
the incident flux by a factor of four. However, at these short
distances only a part of the stellar hemisphere is visible from the
planet, and the effective distance to points close to the limb is still
relatively large, which almost compensates the proximity to the disk
center, although the incident flux stays a bit stronger in the extended
star model.
The crucial point is that in the extended star model the incident
radiation does not arrive anymore parallel to the planet, which results
in contributions to both Stokes Q and U
and partial cancellation of polarization, while in the point-like model
all incident (parallel) rays add up to the same direction of linear
polarization. Assuming that light from the disk center gives rise to
positive Stokes Q and zero U for the distant observer, then light from the limb starts to contribute mainly to Stokes U if the scattering plane is rotated by more than 22.5,
although the total Stokes U
cancels out due to symmetry reasons. If the planet orbits very closely
to the stellar surface, some incident radiation would even arrive with
angles greater than 45
relative to the stellar disk center, which would in turn lead to contributions to negative Q. At
the star has an angular size of about 25
viewed from the planet. This is just the limit above which contributions to positive Stokes Q
start to decline significantly. It is thus not surprising that the
degree of polarization in the extended star model is actually smaller
if the planet moves very closely to the stellar surface.
![]() |
Figure 9:
Results of the fitting procedure using simulated observations with S/N = 5. a) and b) Input curves (solid) for Stokes Q ( top) and U ( bottom), from which the simulated data (dots) were generated by adding Gaussian noise with S/N = 5, and the curves resulting from the best fit (dashed) to these data. Input and best-fit parameters are listed in Table 1 (case 1). The orbital phase zero is defined by the periastron passage. c) to h) |
Open with DEXTER |
Let us now look at the differences of the shape of the polarization
curves resulting from the point-like and extended star models,
respectively (Figs. 8b,
c). For large orbits, i.e. beyond the cross-over distance of the two
models, the maxima of the two light curves occur at about the same
phase angles (Fig. 8c). The comparison of the maximum degree of polarization
shown in Fig. 8a
is thus sufficient to estimate the deviations of the two models: the
polarization curve is just scaled according to the relative difference
of
,
except that we have to consider the possible secondary eclipses in the
extended model. For very small orbits, i.e. inside the cross-over
distance, the shape of the light curves start to differ more
significantly between the two models (Fig. 8b).
The maxima of the light curve start to shift toward maximum elongation
in the extended model (solid curve). In general the position of the
polarization maxima is determined by optimizing the effect of two
factors, the increasing phase function (Eq. (7)) and the optimal scattering angle leading to particularly large polarization, which is 90
for Rayleigh scattering. In the extended star model with very small
orbits the planet is illuminated from different directions, giving
contributions to the scattered light with various phase and scattering
angles. Contributions from stellar surface elements that lie close to
the observer gain particular importance because the corresponding phase
function is largest compared to the rest of the stellar surface. This
effectively shifts the polarization maxima towards smaller phase
angles. The polarization curves can easily differ by 20-40% (Fig. 8b). In fact we find that the comparison of
(Fig. 8a) underestimates the relative errors introduced by the point-like star model if
.
4 Fitting procedure to simulated data
To derive the orbital parameters from the polarization data of extrasolar planets we performed a -minimization. With the multitude of different Stokes Q and U phase curves presented in Sect. 3
one can wonder to what extent they are unique and how easily the
correct parameters can be retrieved. In this section we test the
robustness of the fitting procedure. We consider two cases of circular
and elliptical orbits with simulated data and try to recover the
original parameters with
-minimization.
The orbital phases of the simulated data were randomly chosen within 10 bins of the orbital period to mimic the situation with real observations in which one would try to obtain a full phase coverage without actually achieving identical time steps. For these phases and a set of selected orbital and planetary parameters we computed Stokes Q/F and U/F, which defined our input or true polarization curves. Then we applied a random Gaussian noise to the true curves resulting in a set of simulated data with different signal-to-noise levels in the two studied cases. For a given signal-to-noise ratio we defined the signal to be the difference between the maximum and minimum of the curve either in Stokes Q or U, whichever was greater, while the noise level corresponded to one standard deviation of the Gaussian distribution.
Error bars of the best-fit parameters were evaluated with the help of
Monte Carlo simulations. In the case of simulated data we have the
advantage to know the ``true'' solution which is given by the chosen
input parameters. For both considered cases we calculated 200 samples
of measurements by applying Gaussian noise to this ``true'' solution in
the same way as described above for the simulated data. In fact, the
simulated observations (Figs. 9 and 10, panels a and b) can be considered as particular examples of such Monte Carlo samples. The -minimization
was applied to each Monte Carlo sample, resulting in 200 sets of
best-fit parameters. The standard deviations from the true values
define the 1
error bars for every free parameter.
In the first simulated case (Fig. 9) we assumed an elliptic orbit, given by 100 data points, and applied a moderate signal-to-noise ratio S/N
= 5 to the original curves (solid, panels a and b). In the fitting
procedure we simultaneously optimized seven parameters: the planetary
radius r, the orbital inclination i, the position angle of the ascending node ,
the eccentricity e, the longitude of the periastron
,
zero point shifts of Stokes Q and U.
These shifts in the polarizations scales can account for background
polarization either due to circumstellar dust or interstellar
scattering, although the most ideal situation is of course to measure
possible constant off-sets.
![]() |
Figure 10:
Same as Fig. 9, but for different input parameters and S/N = 1.5 applied to the simulated data. Input and best-fit parameters are listed in Table 1
(case 2). The orbital phase zero is given here by the greatest
phase angle, since we have assumed a circular orbit. Note the ambiguity
in |
Open with DEXTER |
The Stokes Q and U phase curves are very well reproduced by the fitting procedure (Figs. 9a, b, dashed lines). All seven parameters returned by the -minimization agree well with the original input parameters (Table 1). In panels c-h of Fig. 9 we show two-dimensional projections of
in the parameter space. The minimization procedure resulted in a minimum value
per degree of freedom. There exists however a second identical minimum, not indicated in the figure, in which
is shifted by 180
.
Apart from this ambiguity, which is discussed in Sect. 3.2, the minimum of
is unique and well constrained. We found that the moderate signal-to-noise S/N = 5 is already sufficient to determine the true parameters within a few percent.
The best-fit solutions of the Monte Carlo samples (dots in panels c to h, Fig. 9) are of course centered around the true solution, which explains the small relative shift of the -contours,
which indicate the best-fit solutions for the simulated data. As
statistically expected this shift is smaller than the 1
error.
Table 1: Parameters of the models used to test the fitting procedure with simulated data.
In the second test case (Fig. 10)
we considered only 50, i.e. half as many, data points and we
considerably reduced the signal-to-noise ratio down to 1.5, which is
more representative of the data by Berdyugina et al. (2008). Here we assumed a circular orbit so that the longitude of the periastron becomes undefined. For the -minimization we nonetheless kept the eccentricity e as a free parameter, but we fixed
to 90
.
For very small eccentricities
is not well constrained by the data but has also negligible influence
on the polarization curves. Therefore, we are left with six free
parameters.
Even under these more difficult circumstances the fitting
procedure proved to be very robust. The original curves are again quite
well reproduced (Fig. 10a,b) and the input parameters well identified (Table 1). The -minimum (
per degree of freedom) is still well defined but not as pronounced and
broader than in the first test case, which increases the uncertainties
in the fitted parameters. Note the ambiguity in
,
which is visible in panels c and e (Fig. 10).
We conclude that the data of the second test case are still good enough
to accurately approximate the orbital parameters despite the small
signal-to-noise.
5 Conclusions
We developed and tested the tools for the interpretation of
polarimetric data from extrasolar planets. We employed (i) an
analytical approach based on the Lambert sphere approximation for
intensity combined with Rayleigh scattering for polarization; and
(ii) a numerical method for self-consistent polarized radiative
transfer in a scattering and absorbing atmosphere. We demonstrated that
these two approaches lead to somewhat different intensity phase
functions but negligibly different shapes of polarization curves.
We focused on the influence of various orbital parameters on the Stokes
Q and U curves
for the general case of elliptic planetary orbits and carried out a
parameter study. The parameters include the inclination, longitude of
the ascending node, eccentricity and the periastron longitude of the
planetary orbit. The shapes of the polarization curves are not only
very sensitive to changes in all of these parameters, but are also
unique for every set of parameters except for a 180
ambiguity in
that results from the intrinsic properties of Stokes Q and U.
We found that the finite size of the parent star should be correctly taken into account for very small orbits. Otherwise the approximation of a point-like star would lead to errors in modeling polarization exceeding 10% if the planet resides closer than about three stellar radii from the surface of the star. For known hot Jupiters this error is reduced to about 5%, which might be acceptable depending on the polarimetric precision of the data.
Fits to data with a -minimization
proved to be very stable even for data with a signal-to-noise ratio
close to one if a sufficient number of data points (typically 50
or more) are available. The Stokes Q and U curves are sufficiently unique that the fitting procedure can reliably determine up to seven free parameters simultaneously.
Polarimetric studies of extrasolar planets open up new exciting
possibilities to explore these remote worlds, even when considering
merely orbital parameters. Our analysis can derive the inclination of
the orbit for example, which improves the determination of the
planetary masses, for which currently often only a lower limit
is known. The Stokes Q and U curves also constrain
,
the position angle of the ascending node of the planetary orbit. The
orbital parameters of the planet could also lead to better estimates of
the orientation of the stellar spin axis, which appears to be well
aligned with planetary orbits. In possible transiting systems of hot
Jupiters orbiting giant stars secondary eclipses can lead to drops in
polarization on the order of 50% of the total signal, compared to
a reduction in the flux of about 1% during transits. The most
significant advances in the study of extrasolar planets will result
however from future observations with greater polarimetric sensitivity
that will allow us to study directly the chemical and physical
properties of the planetary atmospheres.
S.V.B. acknowledges the EURYI (European Young Investigator) Award provided by the European Science Foundation (see www.esf.org/euryi) and SNF grant PE002-104552.
References
- Allard, F., Hauschildt, P. H., Alexander, D. R., Tamanai, A., & Schweitzer, A. 2001, ApJ, 556, 357 [NASA ADS] [CrossRef] [Google Scholar]
- Berdyugina, S. V., Solanki, S. K., & Frutiger, C. 2003, A&A, 412, 513 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Berdyugina, S. V., Berdyugin, A. V., Fluri, D. M., et al. 2008, ApJ, 673, L83 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Berdyugina, S. V., Berdyugin, A. V., Fluri, D. M., et al. 2009, ApJ, submitted [Google Scholar]
- Charbonneau, D., Brown, T. M., Noyes, R. W., et al. 2002, ApJ, 568, 377 [NASA ADS] [CrossRef] [Google Scholar]
- Charbonneau, D., Allen, L. E., Megeath, S. T., et al. 2005, ApJ, 626, 523 [NASA ADS] [CrossRef] [Google Scholar]
- Claret, A. 2000, A&A, 363, 1081 [NASA ADS] [Google Scholar]
- Deming, D., Seager, S., Richardson, L. J., et al. 2005, Nature, 434, 740 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Deming, D., Harrington, J., Seager, S., et al. 2006, ApJ, 644, 560 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
- Harrington, J., Hansen, B. M., Luszcz, S. H., et al. 2006, Science, 314, 623 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Hough, J. H., & Lucas, P. W. 2003, in Earths: DARWIN/TPF and the Search for Extrasolar Terrestrial Planets, ed. M. Fridlund, T. Henning, & H. Lacoste, ESA SP-493, 11 [Google Scholar]
- Lecavelier Des Etangs, A., Pont, F., Vidal-Madjar, A., et al. 2008, A&A, 481, L83 [NASA ADS] [CrossRef] [Google Scholar]
- Lucas, P. W., Hough, J. H., Bailey, J. A., et al. 2009, MNRAS, 393, 229 [NASA ADS] [CrossRef] [Google Scholar]
- Marois, C., Macintosh, B., Barman, T., et al. 2008, Science, 322, 1348 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Pont, F., Knutson, H., Gilliland, R. L., Moutou, C., & Charbonneau, D. 2008, MNRAS, 385, 109 [NASA ADS] [CrossRef] [Google Scholar]
- Russell, H. N. 1916, ApJ, 43, 173 [NASA ADS] [CrossRef] [Google Scholar]
- Saar, S. H., & Seager, S. 2003, in Scientific Frontiers in Research on Extrasolar Planets, ed. D. Deming, & S. Seager, ASP Conf. Ser., 294, 529 [Google Scholar]
- Seager, S., Whitney, B. A., & Sasselov, D. D. 2000, ApJ, 540, 504 [NASA ADS] [CrossRef] [Google Scholar]
- Sengupta, S. 2008, ApJ, 683, L195 [NASA ADS] [CrossRef] [Google Scholar]
- Sengupta, S., & Maiti, M. 2006, ApJ, 639, 1147 [NASA ADS] [CrossRef] [Google Scholar]
- Stam, D. M., Hovenier, J. W., & Waters, L. B. F. M. 2004, A&A, 428, 663 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Stenflo, J. O. 1994, Solar Magnetic Fields (Dordrecht: Kluwer) [Google Scholar]
- Tinetti, G., Vidal-Madjar, A., Liang, M.-C., et al. 2007, Nature, 448, 169 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Vidal-Madjar, A., Lecavelier des Etangs, A., Désert, J.-M., et al. 2003, Nature, 422, 143 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Vidal-Madjar, A., Désert, J.-M., Lecavelier des Etangs, A., et al. 2004, ApJ, 604, L69 [NASA ADS] [CrossRef] [Google Scholar]
- Wiktorowicz, S. J. 2009, ApJ, 696, 1116 [NASA ADS] [CrossRef] [Google Scholar]
- Winn, J. N., Noyes, R. W., Holman, M. J., et al. 2005, ApJ, 631, 1215 [NASA ADS] [CrossRef] [Google Scholar]
- Winn, J. N., Johnson, J. A., Marcy, G. W., et al. 2006, ApJ, 653, L69 [NASA ADS] [CrossRef] [Google Scholar]
- Wolf, A. S., Laughlin, G., Henry, G. W., et al. 2007, ApJ, 667, 549 [NASA ADS] [CrossRef] [Google Scholar]
All Tables
Table 1: Parameters of the models used to test the fitting procedure with simulated data.
All Figures
![]() |
Figure 1: Normalized phase
functions for the Lambert sphere (dashed line) and the Rayleigh law
(solid line). The calculation is for a circular planetary orbit with
the inclination
|
Open with DEXTER | |
In the text |
![]() |
Figure 2: Polarization curves obtained with the phase functions presented in Fig. 1. The scale of the Rayleigh law curves has been adjusted to fit the Lambert sphere curves. The differences between the shapes of Stokes Q and U are negligible given the current best accuracy of polarimetric measurements. Thus the Lambert sphere approximation for the intensity of the reflected light is justified for this case. |
Open with DEXTER | |
In the text |
![]() |
Figure 3:
Polarization curve dependence on inclination of the planetary orbit. The inclinations cover
|
Open with DEXTER | |
In the text |
![]() |
Figure 4:
Polarization curve dependence on the position angle of the ascending node |
Open with DEXTER | |
In the text |
![]() |
Figure 5:
Polarization curve dependence on the eccentricity. Different curves correspond to e = 0.0 (solid), e = 0.2 (dotted), e = 0.4 (dashed), and e = 0.7 (dash-dotted). Further parameters: a = 0.05 AU,
|
Open with DEXTER | |
In the text |
![]() |
Figure 6:
Polarization curve dependence on the periastron longitude for eccentric orbits. Different curves correspond to
|
Open with DEXTER | |
In the text |
![]() |
Figure 7:
Influence of secondary eclipses. The curves correspond to three different inclinations:
|
Open with DEXTER | |
In the text |
![]() |
Figure 8:
Comparison of models with extended (solid) and point-like (dotted) stars. a) The panel illustrates the maximum degree polarization during one planetary orbit as a function of the semi-major axis a, which is given in units of the stellar radii. The relative difference is given in the panel underneath. b) Stokes Q curve at a distance
|
Open with DEXTER | |
In the text |
![]() |
Figure 9:
Results of the fitting procedure using simulated observations with S/N = 5. a) and b) Input curves (solid) for Stokes Q ( top) and U ( bottom), from which the simulated data (dots) were generated by adding Gaussian noise with S/N = 5, and the curves resulting from the best fit (dashed) to these data. Input and best-fit parameters are listed in Table 1 (case 1). The orbital phase zero is defined by the periastron passage. c) to h) |
Open with DEXTER | |
In the text |
![]() |
Figure 10:
Same as Fig. 9, but for different input parameters and S/N = 1.5 applied to the simulated data. Input and best-fit parameters are listed in Table 1
(case 2). The orbital phase zero is given here by the greatest
phase angle, since we have assumed a circular orbit. Note the ambiguity
in |
Open with DEXTER | |
In the text |
Copyright ESO 2010
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.