Volume 459, Number 1, November III 2006
|Page(s)||249 - 255|
|Section||Planets and planetary systems|
|Published online||12 September 2006|
High accuracy transit photometry of the planet OGLE-TR-113b with a new deconvolution-based method
Observatoire de Genève, 51 Chemin des Maillettes, 1290 Sauverny, Switzerland e-mail: email@example.com
2 Institut d'Astrophysique et de Géophysique, Université de Liège, Allée du 6 Août 17, Bat. B5C, Liège 1, Belgium
3 LAM, Traverse du Siphon, BP 8, Les Trois Lucs, 13376 Marseille Cedex 12, France
4 Observatoire de Haute-Provence, 04870 St-Michel l'Observatoire, France
5 Institut d'Astrophysique de Paris, 98bis Bd Arago, 75014 Paris, France
6 Laboratoire d'Astrophysique, Ecole Polytechnique Fédérale de Lausanne (EPFL), Observatoire, 1290 Sauverny, Switzerland
Accepted: 10 July 2006
A high accuracy photometry algorithm is needed to take full advantage of the potential of the transit method for the characterization of exoplanets, especially in deep crowded fields. It has to reduce to the lowest possible level the negative influence of systematic effects on the photometric accuracy. It should also be able to cope with a high level of crowding and with large-scale variations of the spatial resolution from one image to another. A recent deconvolution-based photometry algorithm fulfills all these requirements, and it also increases the resolution of astronomical images, which is an important advantage for the detection of blends and the discrimination of false positives in transit photometry. We made some changes to this algorithm to optimize it for transit photometry and used it to reduce NTT/SUSI2 observations of two transits of OGLE-TR-113b. This reduction has led to two very high precision transit light curves with a low level of systematic residuals, used together with former photometric and spectroscopic measurements to derive new stellar and planetary parameters in excellent agreement with previous ones, but significantly more precise.
Key words: planetary systems / stars: individual: OGLE-TR-113 / techniques: image processing / techniques: photometric
© ESO, 2006
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