Accurate pmode measurements of the G0V metalrich CoRoT^{†}^{†}thanks: The CoRoT space mission, launched on December 27th 2006, has been developed and is operated by CNES, with the contribution of Austria, Belgium, Brazil, ESA (RSSD and Science Programme), Germany and Spain. target HD 52265
Key Words.:
Stars: Individual: HD 52265 – Asteroseismology – Stars: fundamental parameters – Stars: rotation – methods: data analysis^{1}^{1}email: jballot@ast.obsmip.fr ^{2}^{2}institutetext: Université de Toulouse, UPSOMP, IRAP, Toulouse, France ^{3}^{3}institutetext: MaxPlanckInstitut für Sonnensystemforschung, 37191 KatlenburgLindau, Germany ^{4}^{4}institutetext: LESIA, UMR8109, Université Pierre et Marie Curie, Université Denis Diderot, Observatoire de Paris, 92195 Meudon, France ^{5}^{5}institutetext: Institut d’Astrophysique Spatiale, CNRS, Université Paris XI, 91405 Orsay, France ^{6}^{6}institutetext: Sydney Institute for Astronomy, School of Physics, University of Sydney, NSW 2006, Australia ^{7}^{7}institutetext: Astronomy Unit, Queen Mary, University of London Mile End Road, London E1 4NS, UK ^{8}^{8}institutetext: School of Physics and Astronomy, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK ^{9}^{9}institutetext: Danish AsteroSeismology Centre, Department of Physics and Astronomy, University of Aarhus, 8000 Aarhus C, Denmark ^{10}^{10}institutetext: Centro de Astrofísica, DFAFaculdade de Ciências, Universidade do Porto, Rua das Estrelas, 4150762 Porto, Portugal ^{11}^{11}institutetext: Laboratoire AIM, CEA/DSM, CNRS, Université Paris Diderot, IRFU/SAp, Centre de Saclay, 91191 GifsurYvette Cedex, France ^{12}^{12}institutetext: High Altitude Observatory, NCAR, P.O. Box 3000, Boulder, CO 80307, USA ^{13}^{13}institutetext: Universidad de La Laguna, Dpto de Astrofísica, 38206, La Laguna, Tenerife, Spain ^{14}^{14}institutetext: Instituto de Astrofísica de Canarias, 38205, La Laguna, Tenerife, Spain ^{15}^{15}institutetext: Université de Nice SophiaAntipolis, CNRS, Observatoire de la Côte d’Azur, BP 4229, 06304 Nice Cedex 4, France
Abstract
Context:The star HD 52265 is a G0V metalrich exoplanethost star observed in the seismology field of the CoRoT space telescope from November 2008 to March 2009. The satellite collected 117 days of highprecision photometric data on this star, showing that it presents solarlike oscillations. HD 52265 was also observed in spectroscopy with the Narval spectrograph at the same epoch.
Aims:We characterise HD 52265 using both spectroscopic and seismic data.
Methods:The fundamental stellar parameters of HD 52265 were derived with the semiautomatic software VWA, and the projected rotational velocity was estimated by fitting synthetic profiles to isolated lines in the observed spectrum. The parameters of the observed p modes were determined with a maximumlikelihood estimation. We performed a global fit of the oscillation spectrum, over about ten radial orders, for degrees to 2. We also derived the properties of the granulation, and analysed a signature of the rotation induced by the photospheric magnetic activity.
Results:Precise determinations of fundamental parameters have been obtained: , , , as well as . We have measured a mean rotation period days, and find a signature of differential rotation. The frequencies of 31 modes are reported in the range 1500–2550. The large separation exhibits a clear modulation around the mean value . Mode widths vary with frequency along an Sshape with a clear local maximum around 1800. We deduce lifetimes ranging between 0.5 and 3 days for these modes. Finally, we find a maximal bolometric amplitude of about ppm for radial modes.
Conclusions:
1 Introduction
Latetype stars oscillate when they have sufficiently deep convective envelopes. These oscillations are p modes, i.e., acoustic waves trapped in the stellar interior. Despite being normally stable, these modes are stochastically excited by nearsurface turbulent motions (e.g. Goldreich77). Their amplitudes remain small and produce tiny luminosity fluctuations. Observing them is now possible thanks to highperformance dedicated instrumentation such as spaceborne photometry. The current spacebased missions CoRoT (Convection, Rotation, and planetary Transits, Baglin06) and Kepler (Koch10) provide long uninterrupted time series of highprecision photometric data over months or years, allowing for the detection and the characterisation of p modes in latetype stars (e.g. Michel08; Gilliland10). These highquality data give an exciting opportunity to conduct seismological analyses of solarlike stars. CoRoT has been successful in providing observations that allow detailed seismic analysis of latetype mainsequence (e.g. Appourchaux08; Barban09; Garcia09; Mosser09; Benomar09; Mathur10; Deheuvels10) and giant (e.g. deRidder09; Hekker09; Mosser10) stars showing solarlike oscillations. Such accurate asteroseismic observations provide unprecedented constraints on the stellar structure of these classes of stars (e.g. DeheuvelsM10; Miglio10). The Kepler mission is also currently providing interesting results on these two categories of stars (e.g. Chaplin10; Huber10; Kallinger10; Mathur11).
In this paper, we study HD 52265, a G0, rather metalrich, mainsequence star hosting a planet that was independently discovered in 2000 by Butler00 and Naef01. HD 52265 was observed by CoRoT during almost four months from 13 November 2008 to 3 March 2009. CoRoT observations were complemented by groundbased observations achieved with the Narval spectrograph at the Pic du Midi observatory in December 2008 and January 2009, i.e. during the CoRoT observations.
Up to now, only a very few exoplanethost stars (EHS) have been studied seismically. Groundbased observations of Ara, hosting two known planets, allowed Bouchy05 to extract about 30 modes based on an eightnight observation and constrain its fundamental parameters (Bazot05; Soriano10). Recently, similar constraints have been placed on another EHS, Hor (Vauclair08). CoRoT has also observed HD 46375, an unevolved K0 star hosting a Saturnlike planet, for which a mean large separation has been measured (Gaulme10). Kepler also observed the EHS HATP7, for which frequencies of 33 p modes were measured within 1.4 accuracy, as well as the EHS HATP11 and TrES2, for which large separations have been estimated (JCD10). The opportunities to get seismic constraints on EHS are then rare. The highquality observations of HD 52265 allow us to determine its seismic properties with an accuracy never obtained on EHS.
In Sect. 2, we first report the fundamental parameters of the star obtained with our spectroscopic study, including a detailed composition analysis. After describing the CoRoT photometric data in Sect. 3, we measure the rotation period and discuss the activity of the star (Sect. 4). We also measure granulation properties (Sect. 5) and extract the main pmode characteristics – frequencies, amplitudes, and lifetimes – in Sect. 6, before concluding (Sect. 7).
2 Fundamental stellar parameters
2.1 Distance, luminosity, and chromospheric activity
The star HD 52265 (or HIP 33719, or HR 2622) was initially classified as G0IIIIV in the Bright Star Catalogue (Hoffleit82_BSC) before finally being identified as a G0V dwarf thanks to Hipparcos parallax measurements (see Butler00). It has a magnitude and a parallax of in the revised Hipparcos catalogue by vanLeeuwen07 and this corresponds to a distance .
The catalogue of vanLeeuwen07 also gives the magnitude . Using the bolometric correction after Cayrel97, one finds an absolute bolometric magnitude ; taking , this gives luminosity of . For comparison, we also derived the luminosity by using the magnitude and the bolometric correction (Flower96) and obtained a fully consistent value for .
The magnetic activity of a star can be revealed by chromospheric emission lines, especially the very commonly used Ca ii H and K lines, from which is derived the standard activity index . For HD 52265, Wright04 have measured , which is consistent with the value of obtained by Butler00. These values, comparable to the solar one, indicate HD 52265 can be classified as a magnetically quiet star. These parameters are summarised in Table 1.
Ref.  

1  
1,2  
3  
4  
4  
4  
4 
(1) vanLeeuwen07; (2) Cayrel97; (3) Wright04; (4) this work.
2.2 Narval spectroscopic observations
Complementary groundbased observations were obtained with the Narval^{1}^{1}1http://www.ast.obsmip.fr/projets/narval/v1/ spectropolarimeter installed on the Bernard Lyot Telescope at the Pic du Midi Observatory (France). Spectra with a resolution of 65 000 were registered simultaneously in classical spectroscopy (Stokes ) and circularly polarised light (Stokes ) over the spectral domain 3701000 nm in a single exposure. Nine high signaltonoise ratio spectra were obtained in December 2008 and January 2009, i.e., during the CoRoT observation for this star: 1 spectrum recorded on 2008/12/20, 1 on 2008/12/21, 2 on 2009/1/10, and 5 on 2009/1/11. No Zeeman signature has been recovered in the polarised spectra. This gives us an upper limit of 1 G for the average magnetic field by combining the five spectra registered on 2009/1/11 and 2 G for the other days.
We analysed the observed spectrum of HD 52265 using the semiautomatic software package VWA (Bruntt04; Bruntt09). We adopted atmospheric models interpolated in the MARCS grid (Gustafsson08) and atomic parameters from VALD (kupka99). The abundances for more than 500 lines were calculated iteratively by fitting synthetic profiles to the observed spectrum using SYNTH (Valenti96). For each line, the abundances were calculated differentially with respect to the same line in a solar spectrum from Hinkle00. The atmospheric parameters (, , , and ) were determined by requiring that Fe lines give the same abundance independent of equivalent width (EW), excitation potential or ionisation stage. Only weak lines were used ( mÅ) for this part of the analysis, but stronger lines ( mÅ) were used for the calculation of the final mean abundances. The uncertainties on the atmospheric parameters and the abundances were determined by perturbing the bestfitting atmospheric parameters as described by Bruntt08.
The results are K, , . We give two uncertainties: the first one is the intrinsic error and the second is our estimated systematic error. The systematic errors were estimated from a large sample of F5K1 type stars (Bruntt10). These two errors are independent and should be added quadratically.
We have also fitted profiles to 68 isolated lines to find the best combination of and macroturbulence. Lines with high of the best fit have been discarded, and 49 of the best lines remain. We found .
We calculated the mean metallicity from the six metals with at least 10 lines (Si, Ti, V, Cr, Fe, and Ni): , where the uncertainty includes the errors on the atmospheric parameters. In Table 2 we list the abundances of the 23 elements that are also shown in Fig. 1. The estimated internal error is 0.04 dex for all elements.
Elem.  Elem.  

[dex]  [dex]  
Li i  1.91  1  V i  0.18  12 
C i  0.14  6  Cr i  0.20  21 
O i  0.11  3  Cr ii  0.22  4 
Na i  0.22  4  Mn i  0.15  7 
Mg i  0.14  2  Fe i  0.19  268 
Mg ii  0.17  2  Fe ii  0.21  23 
Al i  0.17  3  Co i  0.17  9 
Si i  0.19  34  Ni i  0.19  72 
Si ii  0.18  2  Cu i  0.16  2 
S i  0.20  2  Zn i  0.17  2 
Ca i  0.19  12  Y ii  0.20  4 
Ca ii  0.32  1  Zr i  0.18  1 
Sc ii  0.26  6  Ce ii  0.13  1 
Ti i  0.18  27  Nd ii  0.01  1 
Ti ii  0.27  10 
HD 52265 is relatively metal rich (% more heavy elements than the Sun), but there is no evidence of any strong enhancement of elements. As seen in Fig. 1, almost all elements are enhanced by a similar amount. We can then use a global scaling of the metallicity of . Nevertheless, it is seen that the star has a high lithium abundance (). For the region around the Li i line at 6707.8 Å we used the line list from Ghezzi09 but did not include the CN molecular lines. Considering the abundance for the Sun (Asplund09), we got for HD 52265. This measure is consistent with results of Israelian04. According to their sample, such a high abundance of lithium is not unusual for a star with .
The fundamental parameters are summarised in Table 1. These were compared to previous work, especially to Valenti05. We recover consistent results for , , and , within the error bars. The major change concerns , which is significantly reduced from to , probably owing to the inclusion of macroturbulence in the present work.
3 CoRoT photometric observations
3.1 CoRoT data
HD 52265 was observed by CoRoT in the seismology field (see Auvergne09) during 117 days starting on 2008 November 13 to 2009 March 3, during the second long run in the galactic anticentre direction (LRa02). We used time series that are regularly spaced in the heliocentric frame with a 32 s sampling rate, i.e. the socalled Helreg level 2 (N2) data (Samadi07astroph). The overall duty cycle of the time series is . However, the extra noise on data taken across the southAtlantic anomaly (SAA) creates strong harmonics of the satellite orbital period and of the day (for more details, see Auvergne09). When all of the data registered across the SAA are removed, the duty cycle becomes .
The light curve of HD 52265 from N2 data is plotted in Fig. 2top. The light curve shows a slowly decreasing trend due to instrumental effects, and especially due to the ageing of CCDs. This trend is removed with a thirdorder polynomial fit. Residual fluctuations are plotted in the bottom of Fig. 2.
The power spectral density (PSD) is computed with a standard fast Fourier transform (FFT) algorithm, and we normalised it as the socalled onesided power spectral density (NumRec). We interpolate the gaps produced by SAA with parabola fitting the points around the gap, in a similar way to the usual interpolation performed in N2 data for missing points.
To verify that the interpolation method has no influence on the results presented in this paper, we performed similar analyses on spectra where:

the PSD is computed as the FFT of the N2 data, and main harmonics and aliases induced by the SAA noise are removed in the spectrum;

all of the gaps and missing points are interpolated with the inpainting method described in Mathur10 and Sato10.
We have also verified that the order of the polynomial used to detrend the data has no impact on the results, by using first to ninth order polynomials.
3.2 Influence of the observation window
At the precision reached by the current analysis, windowing effects must be taken into account when normalising the PSD. The first consequence of windowing is a lack of power in the PSD by a factor of . This factor should be taken into account a posteriori to avoid a general underestimation of the power by around 10%. Of course, the interpolation we performed injected power into the spectrum, but only at very low frequency. Thus, the PSD is properly calibrated by dividing it by .
Moreover, owing to the repetitive pattern of the gaps, the power is spread in side lobes. To estimate the resulting leakage, we computed the power spectrum of the observation window (Fig. 3). On a logarithmic scale we clearly see a forest of peaks corresponding to the orbital frequency (161.7), its harmonics, as well as daily aliases. These peaks have lower amplitudes than the central peak (smaller than 1%), and there is no peak close to the central one. As a result, all of the p modes, which are narrow structures, should be modelled well by Lorentzian profiles (see Sect. 6). The mode aliases then have very small amplitudes and do not perturb the other modes significantly, but a nonnegligible part of the mode power is spread in the background, and the fitted mode heights will be underestimated by a factor of .
However, we neglect the leakage effects on very broad structures, such as the background ones (see Sect. 5), because their widths are at least as broad as the range where the significant peaks of the window spectrum are found.
4 Activity, spots, and rotation period
The light curve (Fig. 2) exhibits clear variations on characteristic time scales of a few days and with amplitudes around 100 ppm, which we attribute to stellar activity. As shown in Sect. 2.1, this star is magnetically quiet, much like the Sun. The amplitude of the modulation is then compatible with those produced by spots in the photosphere. The modulation appears quasiperiodic with clear repetitive patterns.
This modulation produces a significant peak in the power spectrum at 1.05 and a second very close one, at 0.91 (Fig. 4). The signature is then not a single peak, but a slightly broadened structure. We interpret the broadening as the signature of differential rotation, since spots may appear at different latitudes that rotate with different periods. Peaks around 2 and 3 are simply the harmonics of the rotation frequency.
A wavelet analysis (e.g. Torrence98) of the curve was performed to verify the persistence of this characteristic frequency during the complete length of observation. Interestingly, this method allowed us to monitor the evolution with time of the power spectral distribution, as well as to resolve the uncertainty between the rotation period and the first harmonic that could be observed in the power spectrum (see Mathur10pipe). We used the Morlet wavelet (a moving Gaussian envelope convolved with a sinusoid function with a varying frequency) to produce the wavelet power spectrum shown Fig. 5. It represents the correlation between the wavelet with a given frequency along time. The frequency around 1 previously identified as the rotation rate is very persistent during the whole time series, while the peaks at 2 and 3 are not. Thus, the 1 signature does not come from strong localised artefacts, but is the consequence of a continuous modulation. This confirms that the rotation period is around 12 days.
Finally, we performed spotmodelling of the light curve following the method described by Mosser09spot. The bestfit model is presented in Fig. 6. The fit is obtained with an inclination of . When we assumed a solid rotation, we found a rotation period days. However, considering differential rotation, with a law
(1) 
for the rotation as a function of the latitude , provides a better fit. We derive an equatorial rotation period days and a differential rotation rate . The spot life time is short, around days, i.e. about 2/3 of the rotation period. As for similar stars, the modelling is not able to reproduce the sharpest features of the light curve. Fitting them would require introducing too many spots, which lowers the precision of the bestfit parameters. Moreover, some of these features, such as the jumps around , 54, or 64 days, certainly do not have a stellar origin, but are probably introduced by instrumental glitches or cosmic events.
5 Fitting the stellar background
The PSD of HD 52265 is shown in Fig. 7. The p modes are clearly visible around 2000. The dominant peak at is the persisting first harmonic of the satellite orbital period. Before analysing the pmode pattern, we determine the properties of the background, which gives useful information about the stellar granulation that constrains, for example, 3D models of superficial convection (e.g. Ludwig09).
The background of the spectrum is modelled as the sum of three components:

a white noise modelling the photon shot noise, dominating the spectrum at high frequency;

a profile of Harvey85 to model the granulation spectrum:
(2) where and are characteristic time scale and amplitude of the granulation and an exponent characterising the temporal coherence of the phenomenon;

a third component taking the slow drifts or modulations due to the stellar activity, the instrument, etc., into account which we modelled either by an extra Harvey profile or a power law .
We fit the PSD between 1 and the Nyquist frequency, excluding the region where p modes are visible ([12003200]). Fittings were performed with a maximumlikelihood estimation (MLE), or alternatively with Markov chains Monte Carlo (MCMC), by assuming that the noise follows a distribution. Results for and do not depend significantly on the choice made for . Table 3 lists the fitted parameters with statistical formal errors, obtained by inverting the Hessian matrix. These errors do not include any systematics and assume the model is correct.
[ppm]  [s]  
Complementary fits including the pmode region were performed by modelling their contribution as a Gaussian function. The results for and have not been modified. The pmode Gaussian profile is characterised by a height , a width , and a central frequency . We then redid fits over a frequency range starting at 5, 10, or 100, instead of 1, without any impact on the results. We also verified that removing the two bins still contaminated by the strong orbit harmonic does not influence the results.
6 Pmode analysis
Around 2000, the PSD presents a conspicuous comb structure that is typical of solarlike oscillations. A zoom on the PSD in the region is plotted in Fig. 8. The small separation between modes of degrees and 2 is also easily seen, making the mode identification simple. The autocorrelation of the spectrum between 1700 and 2400 provides first estimates of the large and small separations: and . These values are recomputed from fitted frequencies in Sect. 6.2. We build an échelle diagram using as the folding frequency. This is plotted in Fig. 9. This échelle diagram makes the mode identification even more obvious. On the righthand side, the clear single ridge corresponds to modes, whereas, on the lefthand side, the two ridges are identified as the and modes. We completely exclude the possibility that the two ridges on the left are modes split by rotation for the following reasons. First, the two ridges show clear asymmetry in their power; second, the rotation needed to generate such high splittings is totally incompatible both with the lowfrequency signature (Sect. 4) and the spectroscopic observations (Sect. 2.2). We are able to identify modes presenting a significant signaltonoise ratio for about ten consecutive orders. Their characteristics are extracted with classical methods, described in the following section.
6.1 Fitting the spectrum
To estimate the mode parameters, we applied usual spectrum fitting techniques, as in previous similar works (e.g. Appourchaux08; Barban09; Deheuvels10). To summarise the procedure, we assume that the observed PSD is distributed around a mean profile spectrum and follows a 2degreeoffreedom statistics (e.g. Duvall86). is modelled as the sum of the background , described in Sect. 5, and pmode profiles for each considered degree and radial order . are multiplets of Lorentzian profiles and read as
(3) 
where is the azimuthal order, , , and are the height, the frequency, and the width of the mode, is the rotational splitting, common to all modes, and , the height ratios of multiplet components, are geometrical terms depending only on the inclination angle (e.g., see Gizon03). Owing to cancellation effects of averaging the stellar flux over the whole disc, only modes with are considered in the present analysis. It is worth noticing that we analyse the full light curve disregarding any possible variations in the pmode parameters due to any magnetic activity effects as the ones recently uncovered in HD 49933 (Garcia10).
The different parameters have been independently fitted by ten different groups, using either MLE (e.g. Appourchaux98) or Bayesian priors and performing maximum a posteriori estimation (MAP, e.g. Gaulme09) or MCMC (e.g. Benomar09Bayes; Handberg11). Generally, global fits of all of the p modes were performed. Nevertheless, one group has used a local approach by fitting sequences of successive , 0, and 1 modes, according to the original CoRoT recipes (Appourchaux06). Between 8 and 15 orders have been included in the fit, depending on the group.
To reduce the dimension of the parameter space, other constraints were used by taking advantage of the smooth variation of heights and widths. As a consequence, only one height and one width, and , are fitted for each order. We linked the height (resp., width) of mode to the height (width) of the nearby mode through a relation
(4) 
We denote the visibility of the mode relative to .
Concerning modes, we can link them either to the previous or to the following modes, leading to two fitting situations:
(5) 
(6) 
where the visibility of the mode relative to . Even if the variations in heights and widths are limited, they can still be significant over half the large separation. Thus, results can be different for both cases.
The visibility factors depend mainly on the stellar limbdarkening profile (e.g. Gizon03). It is then possible to fix them to theoretical values, deduced from stellar atmosphere models, or leave them as a free parameters. Six groups have fixed them, whereas four others left them free.
In the next two sections, we present the results of one of the fits used as reference. The reference fitting is based on MLE/MAP, and the fitted frequency range is [1430,2610]. The background component is fixed, whereas Bayesian priors for and are derived from the background fit (Sect. 5). There are no Bayesian priors for the mode parameters. The marginal probabilities derived from MCMC derived by other groups are compatible with the error bars presented hereafter.
6.2 Mode frequencies
For the two fitting configurations (A or B), the fitted frequencies are in very good agreement. Table 4 provides modes frequencies obtained with fit A. The fitted spectrum is plotted over the observation in Fig. 8. The determined frequencies are also plotted over the échelle diagram (Fig. 9). The frequencies listed in the table were found by at least eight groups out of ten within the error bars. The three modes labelled with an exponent a in the table correspond to modes fitted by only four groups. Nevertheless, the four groups have independently obtained consistent frequencies for these modes, so we report them, but they could be less reliable. An extra , around 1455, seems to be present in the échelle diagram and has been fitted by a few groups. Nevertheless, it is very close to one of the orbital harmonics (see Fig. 9) and has been rejected.
The radial order provided in Table 4 is only relative and could be shifted by . It is obtained by fitting the relation
(7) 
derived from the asymptotic development for p modes (e.g. Tassoul80).
14  0  1509.17  0.06  ^{}^{}Less reliable frequencies. See text for details.  1  1554.33  0.42  ^{}^{}Less reliable frequencies. See text for details.  …  
15  0  1606.54  0.33  1  1652.80  0.34  2  1696.88  0.53  ^{}^{}Less reliable frequencies. See text for details.  
16  0  1704.88  0.33  1  1749.85  0.48  2  1793.02  1.13  
17  0  1801.15  0.56  1  1845.74  0.51  2  1890.81  0.77  
18  0  1898.22  0.38  1  1943.94  0.25  2  1988.38  0.40  
19  0  1996.32  0.20  1  2041.81  0.23  2  2086.48  0.45  
20  0  2094.92  0.25  1  2141.32  0.20  2  2186.20  0.31  
21  0  2193.75  0.23  1  2240.31  0.26  2  2284.02  0.33  
22  0  2292.86  0.24  1  2338.11  0.38  2  2382.56  0.77  
23  0  2389.78  0.76  1  2437.27  0.44  2  2479.76  1.14  
24  0  2489.85  0.71  1  2536.07  1.19  … 
By using these frequency determinations, we can compute and plot large separations
(8) 
in Fig. 10. There are clear variations around the mean value , recomputed as the average of . The variation of the large separation can also be measured from the autocorrelation of the time series computed as the power spectrum of the power spectrum windowed with a narrow filter, as proposed by Roxburgh06 and Roxburgh09. Mosser09ACF have defined the envelope autocorrelation function (EACF) and explain its use as an automated pipeline. We applied this pipeline to the spectrum of HD 52265 to find the frequency variation of the large separation. We used a narrow cosine filter, with a full width at half maximum equal to 2. The result is plotted in Fig. 10. The agreement between and the fitted values are quite good. We recover the main variations, particularly the large oscillation, visible as a bump around 2100. Such oscillations in the frequencies and seismic variables can be created by sharp features in the stellar structure (e.g. Vorontsov88; Gough90). The observed oscillations are probably the signature of the helium’s second ionisation zone located below the surface of the star. Such a signature, predicted by models and observed on the Sun, should help us to put constraints on the helium abundance of the star (e.g. Basu04; Piau05).
We then computed small separations
(9) 
Results are shown in Fig. 11. The error bars take the correlations between the frequency determination of the and 2 modes into account. These correlations are small. It is worth noticing that these small separations do not decrease with frequency as for the Sun, but remain close to their mean value, , reevaluated from fitted frequencies.
The small separations between and 1 modes, defined by Roxburgh93 as
(10)  
(11) 
are also interesting seismic diagnosis tools (e.g. Roxburgh03; Roxburgh05). Results for HD 52265 are shown in Fig. 12. As with the separations they do not display the decrease in frequency seen in the solar values, and have an average of . These are additional diagnostics of the interior and may even be showing an oscillation due to the radius of an outer convective zone and the signature of a convective core (e.g. Roxburgh09_d01; Silva11).
The results for the parameters and obtained by the different groups are spread but consistent. They appear to be sensitive to the prior for the background and the frequency range of the fit. A detailed study dedicated to determining and will be presented in a separate paper (Gizon et al., in preparation). The results for the projected splitting , which is easier to determine than and separately (Ballot06), are also consistent among the different groups. For the analysis presented in this work we find for HD 52265. Moreover, Ballot08 show that the frequency estimates are not correlated with estimates for other parameters, in particular and , so, the frequency estimates are robust.
6.3 Lifetimes and amplitudes of modes
To consider the window effects that affect p modes, we divide all the fitted mode heights by the factor , as mentioned in Sect. 3.2. As expected, the values of the fitted heights and widths and change slightly depending on the fitting configuration (A or B) since the values of fitted height and width average the contribution of the modes and in case A, or of the modes and in case B.
fit  err  err  err  err  

A  14  0.11  ^{}^{}Less reliable determinations. See text for details.  1.34  ^{}^{}Less reliable determinations. See text for details.  
B  14  0.10  ^{}^{}Less reliable determinations. See text for details.  1.24  ^{}^{}Less reliable determinations. See text for details.  
A  15  1.23  1.63  
B  15  1.56  1.81  
A  16  1.45  1.97  
B  16  1.46  2.00  
A  17  2.96  2.38  
B  17  3.87  2.88  
A  18  3.14  3.11  
B  18  2.08  2.99  
A  19  1.53  3.07  
B  19  1.33  3.26  
A  20  1.91  3.72  
B  20  2.03  3.86  
A  21  1.61  3.69  
B  21  1.86  3.68  
A  22  1.92  3.70  
B  22  2.29  3.74  
A  23  4.02  3.58  
B  23  5.08  3.51  
A  24  4.39  2.84  
B  24  5.88  2.30 
The mode width is a direct measurement of the mode lifetime . The widths of fitted modes are listed in Table 5 and plotted in Fig. 13. The two lowest values are quite low and close to the spectral resolution. Moreover, the values of fitted widths obtained for these modes by the different groups are rather widespread, compared to the other widths, which are consistent. As a consequence, these two widths are not considered as reliable and must be rejected. If we exclude these two points, the mode widths correspond to lifetimes ranging from 0.5 days at the highest frequency to 3 days at the lowest. The variation of widths is not monotonic and shows an S shape. The widths progressively increase until a local maximum of 4 ( days) around 1850 corresponding to the mode that actually appears to be significantly wider than its neighbours. Then, the widths decrease until a plateau of 2 ( days) covering 4 orders, and finally increase again.
HD 52265 mode lifetimes are shorter than the solar ones, but significantly longer than lifetimes previously observed in F stars, such as HD 49933 (e.g. Appourchaux08). Mode lifetimes clearly decrease as the effective temperature increases. By using theoretical models and former observations, Chaplin09 find that the mean lifetimes of the most excited modes scale as , which leads to days for K. This value is indicated in Fig. 13. We notice a qualitative agreement with the observations, but the lifetimes in the plateau are all shorter than the value deduced from this scaling law. Recently, Baudin10 have used a sample of more accurate seismic observations – including these observations of HD 52265 – to show that the dependence of lifetimes on the effective temperature is even stronger and that it scales with .
From and , it is possible to recover the rms amplitude of a mode. Amplitudes are always better determined than heights and widths themselves. This is true regardless of the values of and (Ballot08). The amplitudes follow the relation
(12) 
The mode amplitudes are listed in Table 5 and plotted in Fig. 14. The errors take the correlations between the determinations of and into account. The amplitudes increase almost regularly until reaching a maximum (3.86 ppm) around the frequency 2100. Then, the mode amplitudes remain close to this maximum before sharply dropping above 2450.
It is also possible to derive the amplitude of radial modes from the smoothed power spectrum after subtracting the background (see Kjeldsen08), or, similarly, by using the fitted Gaussian profile of the pmode power excess derived in Sect. 5. By using Michel09, we recover the amplitude of radial modes through a relation
(13) 
where and are the CoRoT response functions for modes and for the sum of all modes of degree to 4 (see definitions in Michel09, notice that is identical to the granulation response defined in that article). We used the approximated formulations of the responses they derived, and find and , by considering K for HD 52265.
When the spectrum is barely resolved, this procedure is a common way to extract the mode amplitudes. In the present situation, we are thus able to compare these estimates to the individually fitted mode amplitudes. In Fig. 14, we have also plotted the radial mode amplitudes deduced from the smoothed spectrum and from the profile . Although the amplitudes of radial modes do not follow a perfect Gaussian profile, the Gaussian profile is a reasonable fit to the smoothed spectrum. The Gaussian profile reaches the maximum value ppm. This is consistent with the maximum fitted amplitude ( ppm). We get very good agreement at high frequency, but there is a clear departure at low frequency between the amplitudes obtained from the smoothed spectrum and from the fitted modes. The fitted background is probably underestimated around 1200–1800. This could come from a component missing in our model, like a contribution of faculae or from an excess of power due to leakage effects. Thus, when the granulation is fitted in Sect. 5, the extra power increases the apparent contribution from p modes; however, when we fit p modes, in a restricted range (Sect. 6.1), the extra power excess is included in the background.
The amplitudes are measured in the CoRoT spectral band and must be converted into bolometric amplitudes. According to Michel09, the bolometric correction factor is and is for HD 52265. The maximum bolometric amplitude of radial mode is then
(14) 
By combining the adiabatic relation proposed by Kjeldsen95 to relate mode amplitudes in intensity to mode amplitudes in velocity and the scaling law proposed by Samadi07, we get the relation
(15) 
Moreover, if we assume that the frequency of maximum pmode amplitude scales with the acoustic cutoff frequency (e.g., see Bedding03), we obtain the relation (Deheuvels10):
(16) 
By using (Michel09), K, and for the Sun and by considering for HD 52265 our estimations K, and , we obtain . This predicted value is slightly lower than the value measured for HD 52265, but still consistent within the error bars. In contrast to previous observations of F stars (e.g. Michel08) which have smaller amplitudes than expected, the observations for this G0V star are close to predictions.
The mode visibility and are free parameters in the reference fitting. The values obtained are given in Table 6 for fits A and B. Both results are consistent. These values are compatible with theoretical values computed with the CoRoT limbdarkening laws by Sing10. As a further test, we considered the sum of visibilities of modes over an interval that is equal to . The fitted values are listed in Table 6. According to Michel09, this is comparable to the quantity . The second includes modes up to , whereas the first includes modes only up to . Nevertheless, the agreement between fits A and B and the theoretical expectation is met within the error bars.
fit A  fit B  theo.  

1.22  
0.72  
3.01 
7 Conclusion
Using photometric observations from the CoRoT space telescope spanning 117 days and a duty cycle of 90%, we measured a rotation period days for the G0 main sequence star HD 52265, thanks to a modulation in the light curve induced by photospheric activity. We have clearly detected solarlike oscillations in HD 52265, and characterised 31 p modes in the range 1500–2550 with degrees , 1, and 2. We observed lifetimes for these modes ranging between 0.5 and 3 days. HD 52265 mode lifetimes are shorter than the solar ones, but significantly longer than the lifetimes previously observed in F stars, confirming that mode lifetimes decrease as the effective temperature increases. Moreover, we observed for HD 52265 that the variation in lifetimes with frequency is not monotonic and shows a clear S shape.
The fitted maximum bolometric amplitude for radial modes is ppm, which is marginally higher than the theoretical models of Samadi07 but still compatible within the error bars. In the past, several analyses have shown smaller amplitudes than predicted; however, they were F stars, whereas HD 52265 is a G0 star, hence more like the Sun. Nevertheless, this star is over metallic. Samadi10a have shown that the surface metallicity has a strong impact on the efficiency of the mode driven by turbulent convection: the lower the surface metal abundance, the weaker the driving. These authors have precisely quantified this effect for the CoRoT target HD 49933, which is a rather metalpoor star compared to the Sun since for this star . Samadi10b found that ignoring the surface metal abundance of this target results in a significant underestimation of the observed mode amplitudes. The theoretical scaling law by Samadi07 (see Eq. 15) was obtained on the basis of a series of 3D hydrodynamical models with a solar metal abundance. Given the result of Samadi10b; Samadi10a, we would expect for HD 52265 higher theoretical mode amplitudes than predicted by the theoretical scaling law of Samadi07. However, the amount by which the theoretical amplitudes are expected to increase remains to be precisely quantified and compared to the uncertainties associated with the present seismic data.
For HD 52265, we found that the mean large and small separations are and and that does not significantly decrease with frequency. These quantities are typical of a 1.2solarmass star that is still on the main sequence (see preparatory models by Soriano07). Moreover, HD 52265 does not show any mixed modes, as is the case for the more evolved G0 star HD 49385 (Deheuvels10).
The variation of with frequency shows an oscillation that we interpret as a possible signature of the second heliumionisation region. Thanks to accurate eigenfrequency measurements (the error is about 0.2 for the modes with the highest amplitudes) and to fine measurements of fundamental parameters obtained with the Narval spectrograph, HD 52265 is a very promising object for stellar modelling. These observations should especially help in determining whether HD 52265 has a convective core or not, which would put useful constraints on the mixing processes in such stars. These seismic inferences will also help improve our knowledge of the planet hosted by HD 52265.