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Thanks to the detections of more than 3000 exoplanets these last 20 years,statistical studies have already highlighted some properties in thedistribution of the planet parameters. Nevertheless, few studies have yetinvestigated the planet populations from short to large separations around thesame star since this requires the use of different detection techniques thatusually target different types of stars. We wish to develop a tool thatcombines direct and indirect methods so as to correctly investigate the giantplanet populations at all separations. We developed the MESS2 code, a MonteCarlo simulation code combining radial velocity and direct imaging dataobtained at different epochs for a given star to estimate the detectionprobability of giant planets spanning a wide range of physical separations. Itis based on the generation of synthetic planet populations. We apply MESS2 on ayoung M1-type, the nearby star AUMic observed with HARPS and NACO/ESO. We showthat giant planet detection limits are significantly improved at intermediateseparations (~20au in the case of AUMic). We show that the traditional approachof analysing independently the RV and DI detection limits systematicallyoverestimates the planet detection limits and hence planet occurrence rates.The use of MESS2 allows to obtain correct planet occurrence rates instatistical studies, making use of multi-epoch DI data and/or RV measurements.We also show that MESS2 can optimise the schedule of future DI observations.

Combining direct imaging and radial velocity data towards a full exploration of the giant planet population