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In the past decade, HCI surveys provided new insights about the frequency andproperties of substellar companions at separation larger than 5 au. In thiscontext, our study aims to detect and characterise potential exoplanets andbrown dwarfs within debris disks, by considering the SHARDDS survey, whichgathers 55 Main Sequence stars with known bright debris disk. We rely on theAutoRSM framework to perform an in-depth analysis of the targets, via thecomputation of detection maps and contrast curves. A clustering approach isused to divide the set of targets in multiple subsets, in order to reduce thecomputation time by estimating a single optimal parametrisation for eachconsidered subset. The use of Auto-RSM allows to reach high contrast at shortseparations, with a median contrast of 10-5 at 300 mas, for a completenesslevel of 95%. Detection maps generated with different approaches are used alongwith contrast curves, to identify potential planetary companions. A newplanetary characterisation algorithm, based on the RSM framework, is developedand tested successfully, showing a higher astrometric and photometric precisionfor faint sources compared to standard approaches. Apart from the already knowncompanion of HD206893 and two point-like sources around HD114082 which are mostlikely background stars, we did not detect any new companion around otherstars. A correlation study between achievable contrasts and parameterscharacterising HCI sequences highlights the importance of the strehl, windspeed and wind driven halo to define the quality of high contrast images.Finally, planet detection and occurrence frequency maps are generated and show,for the SHARDDS survey, a high detection rate between 10 and 100 au forsubstellar companions with mass >10MJ.

The SHARDDS survey: limits on planet occurrence rates based on point sources analysis via the Auto-RSM framework