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dc.contributor.authorBonomo, A. S.en_GB
dc.contributor.authorAigrain, Suzanneen_GB
dc.contributor.authorBordé, P.en_GB
dc.contributor.authorLanza, A. F.en_GB
dc.date.accessioned2009-12-04T16:52:32Zen_GB
dc.date.accessioned2011-01-25T11:54:37Zen_GB
dc.date.accessioned2013-03-20T13:26:36Z
dc.date.issued2009en_GB
dc.description.abstractAims. As an extension of a previous work, we present a comparison of four methods of filtering solar-like variability to increase the efficiency of detection of Earth-like planetary transits by means of box-shaped transit finder algorithms. Two of these filtering methods are the harmonic fitting method and the iterative nonlinear filter that, coupled respectively with the box least-square (BLS) and box maximum likelihood algorithms, demonstrated the best performance during the first detection blind test organised inside the CoRoT consortium. The third method, the 3-spot model, is a simplified physical model of Sun-like variability and the fourth is a simple sliding boxcar filter. Methods. We apply a Monte Carlo approach by simulating a large number of 150-day light curves (as for CoRoT long runs) for different planetary radii, orbital periods, epochs of the first transit, and standard deviations of the photon shot noise. Stellar variability is given by the total solar irradiance variations as observed close to the maximum of solar cycle 23. After filtering solar variability, transits are searched for by means of the BLS algorithm. Results. We find that the iterative nonlinear filter is the best method for filtering light curves of solar-like stars when a suitable window can be chosen. As the performance of this filter depends critically on the length of its window, we point out that the window must be as long as possible, according to the magnetic activity level of the star. We show an automatic method to choose the extension of the filter window from the power spectrum of the light curves. Conclusions. The iterative nonlinear filter, when used with a suitable choice of its window, has a better performance than more complicated and computationally intensive methods of fitting solar-like variability, like the 200-harmonic fitting or the 3-spot model.en_GB
dc.identifier.citation495 (2), pp. 647-653en_GB
dc.identifier.doi10.1051/0004-6361:200810726en_GB
dc.identifier.urihttp://hdl.handle.net/10036/87421en_GB
dc.language.isoenen_GB
dc.publisherEDP Sciencesen_GB
dc.relation.urlhttp://dx.doi.org/10.1051/0004-6361:200810726en_GB
dc.subjectplanetary systemsen_GB
dc.subjectdata analysis methodsen_GB
dc.subjectphotometric techniquesen_GB
dc.subjectstars: activityen_GB
dc.subjectstars: late-typeen_GB
dc.titleModelling solar-like variability for the detection of Earth-like planetary transits. II. Performance of the three-spot modelling, harmonic function fitting, iterative nonlinear filtering, and sliding boxcar filteringen_GB
dc.typeArticleen_GB
dc.date.available2009-12-04T16:52:32Zen_GB
dc.date.available2011-01-25T11:54:37Zen_GB
dc.date.available2013-03-20T13:26:36Z
dc.identifier.issn0004-6361en_GB
dc.identifier.issn1432-0746en_GB
dc.descriptionCopyright © The European Southern Observatory (ESO)en_GB
dc.identifier.journalAstronomy and Astrophysicsen_GB


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