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Intrinsic stellar variability can hinder the detection of shallow transits,particularly in space-based data. Therefore, this variability has to befiltered out before running the transit search. Unfortunately, filtering outthe low frequency signal of the stellar variability also modifies the transitshape. This results in errors in the measured transit depth and duration usedto derive the planet radius, and orbital inclination. We present an evaluationof the magnitude of this effect based on 20 simulated light curves from theCoRoT blind exercise 2 (BT2). We then present an iterative filter which usesthe strictly periodic nature of the transits to separate them from other formsof variability, so as to recover the original transit shape before deriving theplanet parameters. On average with this filter, we improve the estimation ofthe transit depth and duration by 15% and 10% respectively.

Reconstruction of the transit signal in the presence of stellar variability