J/A+A/543/A45        Planets around metal-poor stars      (Mortier+, 2012)

The frequency of giant planets around metal-poor stars. Mortier A., Santos N.C., Sozzetti A., Mayor M., Latham D., Bonfils X., Udry S. <Astron. Astrophys. 543, A45 (2012)> =2012A&A...543A..45M 2012A&A...543A..45M
ADC_Keywords: Stars, double and multiple ; Planets ; Stars, giant Keywords: techniques: radial velocities - planetary systems - planets and satellites: formation - stars: abundances - stars: statistics Abstract: The discovery of about 700 extrasolar planets, so far, has lead to the first statistics concerning extrasolar planets. The presence of giant planets seems to depend on stellar metallicity and mass. For example, they are more frequent around metal-rich stars, with an exponential increase in planet occurrence rates with metallicity. We analyzed two samples of metal-poor stars (-2.0<[Fe/H]<0.0) to see if giant planets are indeed rare around these objects. Radial velocity datasets were obtained with two different spectrographs (HARPS and HIRES). Detection limits for these data, expressed in minimum planetary mass and period, are calculated. These produce trustworthy numbers for the planet frequency. A general Lomb Scargle (GLS) periodogram analysis was used together with a bootstrapping method to produce the detection limits. Planet frequencies were calculated based on a binomial distribution function within metallicity bins. Almost all hot Jupiters and most giant planets should have been found in these data. Hot Jupiters around metal-poor stars have a frequency lower than 1.0% at one sigma. Giant planets with periods up to 1800 days, however, have a higher frequency of 2.63+2.5-0.89%. Taking into account the different metallicities of the stars, we show that giant planets appear to be very frequent (4.48+4.04-1.38%) around stars with [Fe/H]>-0.7, while they are rare around stars with [Fe/H]←0.7. We conclude that giant planet frequency is indeed a strong function of metallicity, even in the low-metallicity tail. However, the frequencies are most likely higher than previously thought. Description: Table 1 contains relevant values, like amount of measurements and metallicity for all the stars in the samples. File Summary: -------------------------------------------------------------------------------- FileName Lrecl Records Explanations -------------------------------------------------------------------------------- ReadMe 80 . This file table1.dat 62 248 Relevant values for the stars in the samples -------------------------------------------------------------------------------- See also: J/ApJ/697/544 : Planets orbiting metal-poor dwarfs. II. (Sozzetti+, 2009) J/A+A/526/A99 : Metal-poor solar-type stars spectroscopy & masses (Sousa+ 2011) Byte-by-byte Description of file: table1.dat -------------------------------------------------------------------------------- Bytes Format Units Label Explanations -------------------------------------------------------------------------------- 1- 10 A10 --- Star Star name 12- 13 I2 --- N Amount of measurements 15- 19 F5.2 m/s rms Mean rms of measurements 21- 24 I4 d tspan Timespan of the measurements 26- 29 I4 K Teff Effective temperature 31- 33 I3 K e_Teff ? rms uncertainty on Teff 35- 39 F5.2 [Sun] [Fe/H] Metallicity 41- 44 F4.2 [Sun] e_[Fe/H] ? rms uncertainty on [Fe/H] 46- 49 F4.2 Msun Mass Stellar mass 51- 54 F4.2 Msun e_Mass ? rms uncertainty on Mass 56- 60 A5 --- Sample Sample the star belongs to (HARPS or KECK) 62 I1 --- Ref [1/2] Reference (1) -------------------------------------------------------------------------------- Note (1): Reference for the stellar parameters as follows: 1 = Sousa et al., 2011, Cat. J/A+A/526/A99 2 = Sozzetti et al., 2009, Cat. J/ApJ/697/544 -------------------------------------------------------------------------------- Acknowledgements: Annelies Mortier, amortier(at)astro.up.pt
(End) Annelies Mortier [CAUP-Porto, Portugal] Patricia Vannier [CDS] 31-May-2012
The document above follows the rules of the Standard Description for Astronomical Catalogues; from this documentation it is possible to generate f77 program to load files into arrays or line by line