Issue 
A&A
Volume 541, May 2012



Article Number  A56  
Number of page(s)  9  
Section  Planets and planetary systems  
DOI  https://doi.org/10.1051/00046361/201117908  
Published online  27 April 2012 
Kepler KOI13.01 – Detection of beaming and ellipsoidal modulations pointing to a massive hot Jupiter
^{1} School of Physics and Astronomy, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, 69978 Tel Aviv, Israel
email: mazeh@post.tau.ac.il
^{2} Department of Geophysics and Planetary Sciences, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, 69978 Tel Aviv, Israel
Received: 18 August 2011
Accepted: 16 February 2012
KOI13 was presented by the Kepler team as a candidate for having a giant planet – KOI13.01, with an orbital period of 1.7 d and a transit depth of ~0.8%. We have analyzed the Kepler Q2 data of KOI13, which was publicly available at the time of the submission of this paper, and derived the amplitudes of the beaming, ellipsoidal and reflection modulations – 8.6 ± 1.1, 66.8 ± 1.6 and 72.0 ± 1.5 ppm (parts per million), respectively. After the paper was submitted, Q3 data were released, so we repeated the analysis with the newly available light curve. The results of the two quarters were quite similar. From the amplitude of the beaming modulation we derived a mass of 10 ± 2 M_{Jup} for the secondary, suggesting that KOI13.01 was a massive planet, with one of the largest known radii. We also found in the data a periodicity of unknown origin with a period of 1.0595 d and a peaktopeak modulation of ~60 ppm. The light curve of Q3 revealed a few additional smallamplitude periodicities with similar frequencies. It seemed as if the secondary occultation of KOI13 was slightly deeper than the reflection peaktopeak modulation by 16.8 ± 4.5 ppm. If real, this small difference was a measure of the thermal emission from the night side of KOI13.01. We estimated the effective temperature to be 2600 ± 150 K, using a simplistic blackbody emissivity approximation. We then derived the planetary geometrical and Bond albedos as a function of the dayside temperature. Our analysis suggested that the Bond albedo of KOI13.01 might be substantially larger than the geometrical albedo.
Key words: methods: data analysis / planetary systems / planets and satellites: detection
© ESO, 2012
1. Introduction
The Kepler team (Borucki et al. 2011) listed KOI13 (KIC 9941662) as a candidate for having a giant planet with an orbital period of 1.7 d and a transit depth of ~0.8% (Rowe et al. (2011) discussed this system in an abstract). The planet got a Kepler vetting score of “2”, which, according to the classification of Borucki et al., meant that the planet was a “strong probability candidate, cleanly passes tests that were applied”. This score was only next to that of the planets confirmed with radialvelocity (RV) followup observations, which got a vetting score of “1”, and were then christened an official planet sequential Kepler numbering, like Kepler1a, Kepler2a, etc. (Borucki et al. 2010).
The Kepler Input Catalog (Brown et al. 2011) stellar temperature of KOI13, as appeared in Borucki et al. (2011), is 8448 K. Stars with such temperature have very few, usually wide, stellar lines in their spectra and therefore measuring their RV is difficult (e.g., Galland et al. 2005). It seemed therefore that the planet around KOI13 – KOI13.01, was doomed to stay with the “2” vetting score, and might not reach the official Keplerplanet exclusive club.
This is unfortunate, because Borucki et al. (2011), based on the KIC stellar mass and radius and the analysis of the Kepler light curve, estimated the planet candidate radius to be 1.86 ± 0.003 R_{Jup}. This is one of the largest derived radii of transiting planets. According to the Extrasolar Planet Encyclopedia ( http://exoplanet.eu/), as of July 2011 only WASP17b (Anderson et al. 2011) and HATP32b (Hartman et al. 2011) have larger radii, of about 2 R_{Jup}. These two confirmed planets have masses of 0.5 and 0.9 M_{Jup}, respectively, and therefore are some of the most bloated, lowdensity planets known. It would be interesting to have an estimate of the mass of KOI13.01 and see if it is also one of those bloated planets.
In fact, very recently Szabó et al. (2011) used the derived large radius to argue that KOI13.01 was not a planet at all. Szabó et al. noticed that KOI13 was the known BD+46 2629 visual double star, and convincingly proved, by analyzing the publicly available Kepler images, and by obtaining groundbased lucky imaging photometry, that the planet candidate orbited the brighter of the two stars – KOI13A. They also showed that the light coming from KOI13B contributed 45% of the light of the system in the Kepler band. Furthermore, Szabó et al. obtained a highresolution spectrum of KOI13 and derived its mass, radius, temperature and stellar rotation – vsini_{rot}, where i_{rot} was the inclination angle of the stellar rotation axis. The latter was estimated to be 65 ± 10 km s^{1}. They also discovered that the transit had an asymmetric part, on the order of 100 ppm (parts per million), and suggested that this was caused by some obliquity of the orbit and high gravity darkening of the stellar surface, due to its high temperature and fast rotation. After correcting for the dilution factor and the gravity darkening effect, Szabó et al. (2011) derived the radius of KOI13.01 to be 2.2 ± 0.1 R_{Jup}. They used this value to argue that KOI13.01 was a brown dwarf, as the theoretical models of planet evolution they cited (Fortney et al. 2007) could not account for such a large radius.
The conclusion of Szabó et al. seems somewhat premature, given the fact that we know of HATP33b and WASP17b, two bona fide planets with RV mass determination that have radii ~2 R_{Jup}. We would guess that the theoretical border of the allowed range of planetary radii is not so sharp. It is therefore even more desirable to have some observational estimate of KOI13.01 mass, so we can confront the theory with the observations.
One way to estimate the mass of KOI13.01 is to use the Doppler beaming (sometimes called Doppler boosting) (Loeb & Gaudi 2003; Zucker et al. 2007) and the ellipsoidal (see a review by Mazeh 2008) effects. Both effects cause a modulation of the stellar brightness with the orbital period (beaming) and its first overtone (ellipsoidal). To first approximation, both effects depend linearly on the secondary mass and therefore detecting these two effects and measuring their amplitudes can, in principle, yield a mass estimate for the planet candidate. Such an approach was applied recently by Carter et al. (2011) to KIC 10657664 – an Astar with a whitedwarf secondary, although the results from the two modulations were substantially different. We suspect that the difference came from the fact that the firstorder approximation for the ellipsoidal effect is not accurate enough.
The beaming effect increases (decreases) the brightness of any light source approaching (receding from) the observer, enabling the derivation of the stellar Doppler radialvelocity modulation from its precise photometry (Loeb & Gaudi 2003; Zucker et al. 2007). The amplitude of the Doppler beaming is on the order of 4V_{rel}/c, where V_{rel} is the radial velocity of the source relative to the observer and c is the speed of light (e.g., Rybicki & Lightman 1979). The ellipsoidal effect (e.g., Morris 1985), due to the tidal distortion of the star by the gravity of its companion, is a well known effect in shortperiod binaries.
Given the stellar mass and radius and the orbital period of KOI13, the expected amplitudes of the beaming and the ellipsoidal effects (e.g., Faigler & Mazeh 2011) are ~ 1.5(m_{p}/M_{Jup}) and ~15(m_{p}/M_{Jup}) ppm. If indeed the secondary of KOI13 is a brown dwarf, then the beaming amplitude is expected to be on the order of 30 ppm or even larger and the ellipsoidal effect should be ten times larger. Such periodic modulations, although much smaller than in the aforementioned case of KIC 10657664, can be detected in the Kepler data, the ellipsoidal effect in particular.
The two effects were already detected in a similar case – CoRoT3, where a brown dwarf with a mass of 22 M_{Jup} was discovered to orbit an Ftype star with a period of 4.3 days (Deleuil et al. 2008). In that case Mazeh & Faigler (2010) detected the beaming and the ellipsoidal effects with amplitudes of 27 ± 9 and 59 ± 9 ppm, respectively, consistent with the mass previously known from the RV measurements. There is no reason why the Kepler publicly available data, which has a similar time span to that of CoRoT3, would not reveal periodic modulations with similar amplitudes. In fact, Welsh et al. (2010) identified in the Kepler data the ellipsoidal effect induced by the known planet HATP7b.
Szabó et al. (2011) presented in their analysis of KOI13 another smooth periodic modulation, well observed in shortperiod binaries – the reflection/emission modulation (referred to hereafter as the reflection modulation), induced by the stellar light reflected by the day side of the secondary together with its thermal emission (e.g., Cowan & Agol 2011). In the folded light curve presented by Szabó et al. (2011) the occultation of the secondary by the primary star was also a very prominent feature. Given the secondary radius, the reflection phase modulation and the occultation depth can be used to put some constrains on the secondary albedo and temperature (e.g., Snellen et al. 2009; Demory et al. 2011). The derivation of these parameters is another opportunity to explore the nature of KOI13.01.
In this paper we present our analysis of the Q2 publicly available Kepler data of KOI13, detecting and deriving the amplitudes of the beaming, ellipsoidal and reflection modulations (Sect. 2). After this paper was submitted, Q3 data were released, so we repeated the analysis with the Q3 data, the results of which are presented in Sect. 3. The results of the two quarters are quite similar. We use the amplitude of the beaming modulation to estimate the mass of KOI13.01 and show that it is probably a massive planet (Sect. 4). We use the derived amplitude of the reflection and the occultation depth to discuss the albedo and temperature of KOI13.01 (Sect. 5). Section 6 summarizes our findings.
Fig. 1 The Q2 raw light curve of KOI13, before (lower panel) and after (upper panel) detrending. The plotted flux is relative to the mean flux, corrected for the contribution of KOI13B. The longterm model is presented by the red line. Note the different scales of the two panels. 

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The bestfit coefficients of the three effects and the occultation, using the Q2 and the Q3 data.
2. Data analysis – Q2 data
The analysis we present in this section is based on the long cadence, raw Q2 Kepler data, spanning 88.9 days, from June 2009 till September 2009. These data were publicly available when we submitted the paper. We decided not to use the Q0 and Q1 data, as the transits of KOI13 in that part of the light curve seemed inconsistent with the rest of the publicly available data.
2.1. Preprocessing the light curve
We “cleaned” the data in the same way Mazeh & Faigler (2010) preprocessed the CoRoT3 light curve. This includes:

Transits removal. Measurements taken during and around the 50 transits of KOI13 were removed from the analysis (but see below the analysis of the transits themselves).

Dilution correction. We subtracted from all data points 0.45 times their median, which is the dilution factor according to Szabó et al. (2011).

Outlier removal. We identified 58 outliers by calculating the running median and rms of 31 measurements around each point, and rejecting measurements that were 3σ (4σ) or more higher (lower) than their corresponding median. This left a total of 3555 data points.

Longterm detrending with a cosine filter. We used a discrete cosine transform (Ahmed et al. 1974), adapted to the unevenly spaced data we had in hand (for details see Mazeh & Faigler 2010). We fitted the data with a linear combination of the first 51 lowfrequency cosine functions, the last of which is with a period of 4.351 d, and subtracted those functions from the data.
We took special measures to ensure that the results did not depend on the longterm detrending. First, we decreased the number of lowfrequency cosine functions till all the derived amplitudes converged. This left us with only 51 frequencies removed by the detrending. Second, we tried an independent smoothing algorithm, with a time span of 3 orbital periods, which yielded almost identical amplitudes. We therefore concluded that our detrending is a robust step of the analysis.
Figure 1 shows the light curve before and after the removal of the longterm trend. The rms of the cleaned light curve is 80 ppm.
2.2. Fitting amplitudes for the beaming, ellipsoidal, and reflection effects
We fitted the cleaned data with a model that included the ellipsoidal, beaming and reflection effects (hereafter the BEER model, following Faigler & Mazeh 2011). We approximated the beaming and the ellipsoidal modulations by pure sine/cosine functions, using midtransit, t_{tran} = 2 454 964.93 HJD, of Borucki et al. (2011) as phase zero. The beaming effect was presented by a sine function with the orbital period, and the ellipsoidal effect by a cosine function with half the orbital period. The reflection was approximated by the Lambert law (e.g., Demory et al. 2011).
In this approximation we expressed the relative stellar flux modulation , where was the averaged detrended, corrected for dilution, stellar flux, as a function of the orbital phase (1)where P_{orb} was the orbital period. We then wrote where the coefficients, A_{ellip}, A_{beaming} and A_{refl} were all positive. Note that we defined A_{refl} to represent half the peaktopeak variation of the reflection effect, to be consistent with the other two amplitudes.
We fitted the cleaned, detrended light curve of KOI13 with a 5parameter linear model, (5)This was similar to what has been done by Mazeh & Faigler (2010) and Faigler & Mazeh (2011), except for the expression of the reflection effect. It was important to include the first overtone sine function in the model as a check of our approach. We expected this term to be small, as it had no specific role in the model. The fitting process could find any value, positive or negative for the five parameters. However, we did expect A_{beam}, A_{ellip} and A_{refl} to be positive and a_{2s} to be close to zero.
Fig. 2 The folded cleaned Q2 light curve of KOI13 with the bestfit BEER model. The residuals are plotted at the bottom of the figure, with a trapezoid fitting of the secondary occultation. 

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Figure 2 shows the bestfit model and Table 1 lists the resulting amplitudes, after applying the dilution correction due to KOI13B. The table includes also the results of fitting the model to Q3, as discussed in the next section. All three amplitudes come out to be positive, as expected. In addition, the fourth coefficient is substantially smaller than the smallest amplitude, and is consistent with zero, as expected. The errors of the four coefficients are around 1–2 ppm, attesting to the high precision of the Kepler satellite.
The ellipsoidal modulation, with two peaks, one at a phase of 0.25 and the other at 0.75, is very prominent in the figure. So is the reflection effect, which causes the folded light curve to be brighter at phase 0.5 than at phase 0. The beaming modulation, which causes the peak at 0.75 to be lower than the one at 0.25, is quite small but nevertheless noticeable even by eye, with statistical significance of almost ~8σ.
One can also easily notice the secondary occultation at phase 0.5. We fitted the occultation with a plain trapezoid, using only two parameters – the depth and the phase of the occultation. It turned out that the shape of the trapezoid was determined by the three geometrical parameters of the systems – a/R_{∗}, the ratio of the semimajor axis to the stellar radius, R_{∗}/r_{p} the ratio of the stellar to the planetary radii, and b, the impact parameter. Those parameters could have been derived accurately from the planetary transit. Therefore, although it was not the goal of this study, we nevertheless fitted the longcadence data of the planetary transit with the Mandel & Agol (2002) model implemented in MATLAB^{1}, using quadratic limb darkening, with parameters that were found to best fit the data. Our fit used the value of the Mandel & Agol (2002) model at the Kepler timing of each point, and ignored the finite sampling interval of the data.
The best derived values of the three geometrical parameters, used to fit the secondary occultation, are also listed in Table 1. The phase of the occultation is very close to φ = 0.5. The difference, denoted in the table as Δφ, is consistent with zero, probably indicating a highly circular orbit.
2.3. Another unexpected periodicity
In order to look for additional periodicities we calculated the LombScargle periodogram (Scargle 1982) of the residuals, derived from the preprocessed data by removal of the BEER and the secondary model. The residuals and their periodogram are plotted in Fig. 3.
Fig. 3 The Q2 residuals of KOI13, after removing the BEER and the secondary model (upper panel) and their LombScargle periodogram (lower panel). 

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The figure shows a prominent peak at a frequency of 0.9438 ± 0.001 d^{1}, corresponding to a period of 1.0595 d. Although suspiciously close to the notorious 1day period, which might point to some telluric origin, we can not see any reason to exclude an astrophysical modulation (see further discussion in the next section). The folded data with the newly found period is shown in Fig. 4, which shows that the amplitude of the modulation (peaktopeak) is ~60 ppm.
Fig. 4 The Q2 residuals of KOI13, after removing the BEER and the secondary model, folded with the newly found period of 1.0595 d, and binned into 200 bins. The error bar of each bin presents the scatter of the points in that bin, divided by the square root of the number of points in that bin. 

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3. Analysis of Q3 data
After we submitted this paper, Kepler Q3 data were released, so we repeated the analysis with the newly available raw data. We opted to analyze the two data sets separately, in order to have an independent handle on the errors of the derived parameters.
The Q3 light curve includes data taken during 89.3 days, from September 2009 to December 2009. The preprocessing analysis was similar to the one of Q2, after which we were left with 3613 data points with an rms of 77 ppm. We then fitted the BEER and the trapezoid models, the results of which are listed in a separate column of Table 1.
The newly derived parameters of the three modulations are quite similar to the ones of Q2 data. All differences are within 1.2σ of their corresponding errors. Even the difference in the secondary occultation depth, 6.0 ± 5.3 ppm, is not significant. Therefore, for the following discussion we adopted the values derived from Q2.
In order to check the additional periodicity of 1.0595 d found in Q2, we plotted the powerspectrum of the residuals found in the Q3 data. The derived spectrum shows a few more peaks, as can be seen in the upper panel of Fig. 5. The fact that those additional peaks were not seen in Fig. 4 might attest to the better quality of the Q3 dataset. The additional frequencies can be seen better in the lower panel of the figure, which shows the Q3 power spectrum after removing the 1.0595 periodicity with its four overtones.
Fig. 5 Upper panel: the power spectrum of the Q3 residuals of KOI13, after removing the BEER and the secondary model. Lower panel: the same, after removing the main periodicity of 1.0595 d and its four overtones. For comparison, we kept the same scale for the two panels. 

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4. The mass of KOI13.01
In this section we derive the mass of the planet candidate KOI13.01, based on

the amplitude of the beaming and ellipsoidal effects,

the first order theoretical expectation of the beaming and ellipsoidal effects, as parameterized by Mazeh & Faigler (2010) (see also Faigler & Mazeh 2011), and

the stellar parameters, as derived by Szabó et al. (2011).
Using Faigler & Mazeh (2011) approximations and notations we can derive the secondary mass from the beaming and ellipsoidal amplitudes: tIn the above expressions M_{∗} and R_{∗} are the primary mass and radius, respectively. The two m_{2}’s present the estimated mass of the secondary from the two amplitudes, and the two α’s are numerical factors which are on the order of unity. For completeness, we list the relevant parameters of the system in Table 2. The period value is 1.763582 ± 0.0000014 d.
KOI13 A parameters, as derived by Szabó et al. (2011).
The α_{beam} factor includes one component that originates from the fact that the stellar spectrum is Doppler shifted. To estimate this factor we followed Faigler et al. (2012) and numerically shifted spectra from the library of Castelli & Kurucz (2004) models, which were then integrated over the Kepler bandpass (Zucker et al. 2007), yielding for each spectrum an α_{beam} factor. The value we adopted for KOI13, (8)was derived by interpolation between the available models of the library that were close to the temperature of KOI13 given by Szabó et al. (2011). We estimated the uncertainty by calculating the interpolated α_{beam} values within the T_{eff} error range, and by taking into account the possible gravity and metallicity ranges. All together, the error on α_{beam} amounted to 10%.
The uncertainty of α_{ellip} was much larger. We ran numerous models of EBOP (Etzel 1980; Popper & Etzel 1981), EBAS (Tamuz et al. 2006), and WilsonDevinney (Wilson & Devinney 1971) codes to fit the KOI13 lightcurve and tried to estimate the value of α_{ellip} and get a better value than the unity default estimate, to no avail. This might be due to the high gravity darkening and the fast rotation of KOI13. We therefore adopted a conservative estimate of the numerical factor of (9)To complete the error estimate of the secondary mass we needed the uncertainties of the stellar mass and radius of KOI13. Szabó et al. (2011) did not give error estimates for their values and therefore we estimated the stellar mass and radius error to be 10%.
Using the values of Table 2, we got: (10)Due to its large fractional error, the mass derived from the ellipsoidal modulation was not very useful. We therefore adopted the value derived from the beaming modulation. This value indicated that the secondary mass was very probably in the higher mass range of the planetary regime.
Fig. 6 The difference between the occultation depth and the phase modulation, Δ_{NS}, as a function of a/R_{∗}, based on Q2 and Q3 data, combined. The vertical lines present the bestfit a/R_{∗} and its 1σ error estimation, derived from the planetary transit. 

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5. The albedo and temperature of KOI13.01
The strong insolation of the Atype star that hits KOI13.01 should heat up its day side to a relatively high temperature. If one assumes that the planet has reached a full synchronization, that all stellar energy is absorbed and no transfer of energy to the night side takes place, then the dayside temperature can be of the order of 3500 K. This is high enough to explain the observed phase modulation with peaktopeak amplitude of 144 ± 1 ppm. Obviously, according to this approach the night side does not emit any light and therefore the occultation depth should be equal to the phase modulation amplitude. The depth values we derived in the previous sections – 163.8 ± 3.8 for Q2 and 157.8 ± 3.5 for Q3, indicate that the occultation depth might be slightly deeper. According to the simplistic approach that assumes no light from the night side, the small derived difference between the occultation depth and the phase modulation, denoted here as Δ_{NS}, is necessarily insignificant.
However, if the observed depth difference is real, we have to assume that it comes from the night side, and therefore it gives us a rare opportunity to explore the nightside thermal emissivity, the Bond and geometrical albedos of the planet, and finally the effective temperatures of the day and the night sides of the planet.
To assess the significance of the nonzero detection of Δ_{NS} we first note that the figures of Q2 and Q3 in Table 1, taken at face value, yield Δ_{NS} = 16.8 ± 2.8 ppm. However, as mentioned in the previous sections, these values depend on the geometrical parameters of the system, derived here by the analysis of the transit. In particular, the trapezoid depth depends on a/R_{∗}, the ratio of the semimajor axis to the stellar radius. To further estimate the reality of the Δ_{NS} detection we plot in Fig. 6 the weighted average value of Δ_{NS}, obtained from Q2 and Q3, as a function of a/R_{∗}. The figure also shows the 1σ error on a/R_{∗}. From the figure we conclude that our best estimate for the nightside emissivity is (11)The figure suggests that the detection of the small difference between the occultation depth and the phase modulation might be real.
We now move to exploit the value derived for Δ_{NS} for better understanding of KOI13.01 energy budget. To begin, we find that the nightside effective temperature, T_{N}, needed to account for the observed Δ_{NS} is 2600 ± 150 K, assuming r_{p}/R_{∗} = 0.0908 ± 0.0003 (see Table 1). In the error budget we took into account the uncertainties of the stellar temperature, the stellar and planetary radius ratio, and the error of Δ_{NS}. The derivation of T_{N} assumes a blackbody emissivity of the night side, obviously a very simplistic assumption (Cowan & Agol 2011). A detailed model of the planetary atmosphere (e.g., Fortney et al. 2008) is well beyond the scope of this paper.
To proceed, we use the formalism of Cowan & Agol (2011). They approximate the dayside effective temperature as (12)and that of the night side as (13)In these expressions T_{eff, ∗ } is the stellar effective temperature. Two parameters describe the energy budget of the planetary day side – A_{B} is the “effective” Bond albedo, which represents the fraction of the total energy of the star reaching the planetary surface that is not reemitted thermally by the planetary atmosphere, and ϵ is the fraction of the energy absorbed by the day side and reemitted thermally that is transferred to the night side. The estimation of the nightside temperature gives us a strong constraint on the dayside temperature and the fraction of the energy transferred to the night side. This is done by writing (14)and using the derived T_{N} to calculate the dependence of T_{D} on ϵ. We can then derive the Bond albedo for a given T_{D}. This is depicted in Fig. 7. We also plotted in this figure the geometrical albedo, A_{g}, as a function of T_{D}, as was done, for example, by Demory et al. (2011) and Santerne et al. (2011), and the corresponding ϵ value.
Fig. 7 The effective Bond albedo, A_{B}, the geometrical albedo, A_{g}, and ϵ, the energy fraction transferred to the night side, as a function of the dayside temperature. Onesigma errors are plotted around each curve. 

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Fig. 8 The radii of the transiting planets as a function of their masses, taken from http://www.exoplanet.eu. KOI13.01 is plotted as a red square. The dashed lines are constant density lines, of 0.5, 1 and 2 Jupiter density. 

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The figure suggests that if indeed the derived T_{N} is correct, A_{B} is substantially larger than A_{g} in the Kepler band (e.g., Cowan & Agol 2011) for most cases.
6. Discussion
The analysis we present here, based on the beaming modulation detected in the Q2 and Q3 publicly available data, suggests that KOI13.01 is a massive planet, with a mass in the range of 8–12 M_{Jup}. The mass derived from the ellipsoidal modulation is not very useful, as the expected amplitude is derived from firstorder approximations (e.g., Morris 1985; Morris & Naftilan 1993), and therefore the degree of its applicability to hot rapidly rotating stars like KOI13A (Szabó et al. 2011) is not clear. When more stars with beaming and ellipsoidal modulations are detected (Carter et al. 2011) we expect the theory to be better tuned and become more accurate.
As of July 2011, KOI13.01 has the largest radius known for an exoplanet. To locate its position in the radiusmass parameter plane we plot the known transiting planets in Fig. 8, showing that KOI13.01 has indeed the largest known radius. It seems as if the upper envelope of the planetary radius reaches its maximum slightly below Jupiter mass. If our estimate for its mass is correct, KOI13.01 is substantially larger than planets with similar masses, but its density is similar to that of Jupiter itself. Much theoretical work has been done to explain the large radii of some planets (e.g., Guillot & Showman 2002; Baraffe et al. 2004; Chabrier & Baraffe 2007; Fortney et al. 2007; Miller et al. 2009). It would be interesting to find observational indications whether KOI13.01’s large radius is associated with its large if not largest insolation (e.g., Enoch et al. 2011) and/or the relatively large mass of its host star and/or the young age of the system, estimated by Szabó et al. (2011) to be 0.7 Gyr.
We have discovered additional periodicities in the light curve of KOI13, with amplitudes of 30 ppm or less and frequencies in the range of 0.5–2 d^{1}. We suspect that the origin of these modulations is stellar.
The analysis suggests that the secondary occultation depth might be deeper than the reflection peaktopeak modulation. If true, this is a way to estimate the thermal emission of the planetary night side of KOI13.01 (e.g., Cowan & Agol 2011). We estimate its effective temperature to be 2600 ± 150 K, assuming the detected difference is real, and using a simplistic blackbody emissivity approximation. We derive the planetary geometrical and effective Bond albedos, the latter representing the fraction of the total energy of the star reaching the planetary surface that is not reemitted thermally by the planetary atmosphere, as a function of the dayside temperature. Our analysis suggests that the Bond albedo is probably substantially larger than the geometrical albedo. This might indicate that some of the stellar photons not seen in the Kepler band do not share the same processes as the optical photons. For example, UV photons, beyond the Balmer limit, might be absorbed by hydrogen atoms at the first excited state in the upper layers of the atmosphere and their energy might not be directed to heat the planetary atmosphere.
Unfortunately, the detection of the nightside thermal emission was not highly significant. With Kepler additional data, beyond Q2 and Q3, one should be able to determine with higher significance and precision the magnitude of the beaming, ellipsoidal and reflection effects, and compare the secondary depth with the phase modulation amplitude.
KOI13 is one of the very few Atype stars known to host a hot Jupiter (Desort et al. 2010). More cases like KOI13 might present a unique opportunity to shed some light on the population of giant planets around stars more massive than most of the known planethosting stars, and compare them to the planets around G and Ktype stars. Right now this is done mainly by RV search of a sample of subgiants that are believed to be evolved Atype stars (e.g., Bowler et al. 2010). Those subgiants might not be able to retain hot Jupiters with short periods like that of KOI13.01. We assume that many noneclipsing KOI13.01type planets are lurking in the Kepler and CoRoT data. In fact we are searching in both data sets for such systems with the BEER algorithm (Faigler & Mazeh 2011; Faigler et al. 2012).
The estimated mass of KOI13.01 might justify a recognition of its planetary nature, even without confirmation by followup RV observations. This was done already, for example, for Kepler9d (Torres et al. 2011), Kepler10c (Fressin et al. 2011), and Kepler11g (Lissauer et al. 2011). It seems as if
the recent large number of transit detections, especially of lowmass planets and earlytype host stars, pushes us towards a new terminology of confirmed planets.
Can be found now at http://www.astro.washington.edu/users/agol/transit.html
Acknowledgments
We thank Avi Shporer for helpful discussion and the referee for illuminating comments. We feel deeply indebted to the team of the Kepler spacecraft, who built and is maintaining this mission, enabling us to search and analyze their unprecedented accurate photometric data. All the photometric data presented in this paper were obtained from the Multimission Archive at the Space Telescope Science Institute (MAST). STScI is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS526555. Support for MAST for nonHST data is provided by the NASA Office of Space Science via grant NNX09AF08G and by other grants and contracts. This research was supported by the ISRAEL SCIENCE FOUNDATION (grant No. 655/07).
References
 Ahmed, N. T., Natarajan, T., & Rao, K. R. 1974, IEEE Trans. Computers, 90 [Google Scholar]
 Anderson, D. R., Smith, A. M. S., Lanotte, A. A., et al. 2011, MNRAS, 416, 2108 [NASA ADS] [CrossRef] [Google Scholar]
 Baraffe, I., Selsis, F., Chabrier, G., et al. 2004, A&A, 419, L13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Bowler, B. P., Bowler, B. P., Johnson, J. A., Marcy, G. W., et al. 2010, ApJ, 709, 396 [NASA ADS] [CrossRef] [Google Scholar]
 Brown, T. M., Latham, D. W., Everett, M. E., & Esquerdo, G. A. 2011, AJ, 142, 112 [NASA ADS] [CrossRef] [Google Scholar]
 Borucki, W. J., Koch, D., Basri, G., et al. 2010, Science, 327, 977 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 Borucki, W. J., Koch, D. G., Basri, G., et al. 2011, ApJ, 736, 19 [NASA ADS] [CrossRef] [Google Scholar]
 Carter, J. A., Rappaport, S., & Fabrycky, D. 2011, ApJ, 728, 139 [NASA ADS] [CrossRef] [Google Scholar]
 Castelli, F., & Kurucz, R. L. 2004 [arXiv:astroph/0405087] [Google Scholar]
 Chabrier, G., & Baraffe, I. 2007, ApJ, 661, L81 [NASA ADS] [CrossRef] [Google Scholar]
 Cowan, N. B., & Agol, E. 2011, ApJ, 729, 54 [NASA ADS] [CrossRef] [Google Scholar]
 Deleuil, M., Deeg, H. J., Alonso, R., et al. 2008, A&A, 491, 889 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Demory, B.O., Seager, S., Madhusudhan, N., et al. 2011, ApJ, 735, L12 [NASA ADS] [CrossRef] [Google Scholar]
 Desort, M., Lagrange, A.M., Galland, F., Udry, S., & Mayor, M. 2010, EAS PS, 41, 99 [CrossRef] [EDP Sciences] [Google Scholar]
 Enoch, B., Cameron, A. C., Anderson, D. R., et al. 2011, MNRAS, 410, 1631 [NASA ADS] [Google Scholar]
 Etzel, P. B. 1980, EBOP User’s Guide, 3rd edn., UCLA Astronomy and Astrophysics [Google Scholar]
 Faigler, S., & Mazeh, T. 2011, MNRAS, 415, 3921 [NASA ADS] [CrossRef] [Google Scholar]
 Faigler, S., Mazeh, T., Quinn, S. N., Latham, D. W., & TalOr, L. 2012, ApJ, 746, 185 [NASA ADS] [CrossRef] [Google Scholar]
 Fortney, J. J., Marley, M. S., & Barnes, J. W. 2007, ApJ, 659, 1661 [NASA ADS] [CrossRef] [Google Scholar]
 Fortney, J. J., Lodders, K., Marley, M. S., & Freedman, R. S. 2008, ApJ, 678, 1419 [NASA ADS] [CrossRef] [Google Scholar]
 Fressin, F., Torres, G., Désert, J.M., et al. 2011, ApJS, 197, 5 [NASA ADS] [CrossRef] [Google Scholar]
 Galland, F., Lagrange, A.M., Udry, S., et al. 2005, A&A, 443, 337 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Guillot, T., & Showman, A. P. 2002, A&A, 385, 156 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Hartman, J. D., Bakos, G. Á., Torres, G., et al. 2011, ApJ, 742, 59 [NASA ADS] [CrossRef] [Google Scholar]
 Lissauer, J. J., Fabrycky, D. C., Ford, E. B., et al. 2011, Nature, 470, 53 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 Loeb, A., & Gaudi, B. S. 2003,ApJ, 588, L117 [Google Scholar]
 Mandel, K., & Agol, E. 2002, ApJ, 580, L171 [NASA ADS] [CrossRef] [Google Scholar]
 Mazeh, T. 2008, EAS PS, 29, 1 [CrossRef] [EDP Sciences] [Google Scholar]
 Mazeh, T., & Faigler, S. 2010, A&A, 521, L59 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Miller, N., Fortney, J. J., & Jackson, B. 2009, ApJ, 702, 1413 [NASA ADS] [CrossRef] [Google Scholar]
 Morris, S. L. 1985, ApJ, 295, 143 [NASA ADS] [CrossRef] [Google Scholar]
 Morris, S. L., & Naftilan, S. A. 1993, ApJ, 419, 344 [NASA ADS] [CrossRef] [Google Scholar]
 Pál, A., Bakos, G. Á., Torres, G., et al. 2008, ApJ, 680, 1450 [NASA ADS] [CrossRef] [Google Scholar]
 Popper, D. M., & Etzel, P. B. 1981, AJ, 86, 102 [NASA ADS] [CrossRef] [Google Scholar]
 Rowe, J., Borucki, W. J., Howell, S. B., et al. 2011, BAAS, 43, #103.04 [Google Scholar]
 Rybicki, G. B., & Lightman, A. P. 1979, Radiat. Proc. Astrophys. (New York: Wiley) [Google Scholar]
 Santerne, A., Bonomo, A. S., Hébrard, G., et al. 2011, A&A, 536, A70 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Scargle, J. D. 1982, ApJ, 263, 835 [NASA ADS] [CrossRef] [Google Scholar]
 Snellen, I. A. G., de Mooij, E. J. W., & Albrecht, S. 2009, Nature, 459, 543 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 Szabó, G. M., Szabó, R., Benkö, J. M., et al. 2011, ApJ, 736, L4 [NASA ADS] [CrossRef] [Google Scholar]
 Tamuz, O., Mazeh, T., & North, P. 2006, MNRAS, 367, 1521 [NASA ADS] [CrossRef] [Google Scholar]
 Torres, G., Fressin, F., Batalha, N. M., et al. 2011, ApJ, 727, 24 [NASA ADS] [CrossRef] [Google Scholar]
 van Kerkwijk, M. H., Rappaport, S. A., Breton, R. P., et al. 2010, ApJ, 715, 51 [NASA ADS] [CrossRef] [Google Scholar]
 Welsh, W. F., Orosz, J. A., Seager, S., et al. 2010, ApJ, 713, L145 [NASA ADS] [CrossRef] [Google Scholar]
 Wilson, R. E., & Devinney, E. J. 1971, ApJ, 166, 605 [NASA ADS] [CrossRef] [Google Scholar]
 Zucker, S., Mazeh, T., & Alexander, T. 2007, ApJ, 670, 1326 [NASA ADS] [CrossRef] [Google Scholar]
All Tables
The bestfit coefficients of the three effects and the occultation, using the Q2 and the Q3 data.
All Figures
Fig. 1 The Q2 raw light curve of KOI13, before (lower panel) and after (upper panel) detrending. The plotted flux is relative to the mean flux, corrected for the contribution of KOI13B. The longterm model is presented by the red line. Note the different scales of the two panels. 

Open with DEXTER  
In the text 
Fig. 2 The folded cleaned Q2 light curve of KOI13 with the bestfit BEER model. The residuals are plotted at the bottom of the figure, with a trapezoid fitting of the secondary occultation. 

Open with DEXTER  
In the text 
Fig. 3 The Q2 residuals of KOI13, after removing the BEER and the secondary model (upper panel) and their LombScargle periodogram (lower panel). 

Open with DEXTER  
In the text 
Fig. 4 The Q2 residuals of KOI13, after removing the BEER and the secondary model, folded with the newly found period of 1.0595 d, and binned into 200 bins. The error bar of each bin presents the scatter of the points in that bin, divided by the square root of the number of points in that bin. 

Open with DEXTER  
In the text 
Fig. 5 Upper panel: the power spectrum of the Q3 residuals of KOI13, after removing the BEER and the secondary model. Lower panel: the same, after removing the main periodicity of 1.0595 d and its four overtones. For comparison, we kept the same scale for the two panels. 

Open with DEXTER  
In the text 
Fig. 6 The difference between the occultation depth and the phase modulation, Δ_{NS}, as a function of a/R_{∗}, based on Q2 and Q3 data, combined. The vertical lines present the bestfit a/R_{∗} and its 1σ error estimation, derived from the planetary transit. 

Open with DEXTER  
In the text 
Fig. 7 The effective Bond albedo, A_{B}, the geometrical albedo, A_{g}, and ϵ, the energy fraction transferred to the night side, as a function of the dayside temperature. Onesigma errors are plotted around each curve. 

Open with DEXTER  
In the text 
Fig. 8 The radii of the transiting planets as a function of their masses, taken from http://www.exoplanet.eu. KOI13.01 is plotted as a red square. The dashed lines are constant density lines, of 0.5, 1 and 2 Jupiter density. 

Open with DEXTER  
In the text 
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