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Several tools have been developed in the past few years for the statisticalanalysis of the exoplanet search surveys, mostly using a combination ofMonte-Carlo simulations or a Bayesian approach.Here we present the Quick-MESS,a grid-based, non-Monte Carlo tool aimed to perform statistical analyses onresults from and help with the planning of direct imaging surveys. Quick-MESSuses the (expected) contrast curves for direct imaging surveys to assess foreach target the probability that a planet of a given mass and semi-major axiscan be detected. By using a grid-based approach Quick-MESS is typically morethan an order of magnitude faster than tools based on Monte-Carlo sampling ofthe planet distribution. In addition, Quick-MESS is extremely flexible,enabling the study of a large range of parameter space for the mass andsemi-major axes distributions without the need of re-simulating the planetdistribution. In order to show examples of the capabilities of the Quick-MESS,we present the analysis of the Gemini Deep Planet Survey and the predictionsfor upcoming surveys with extreme-AO instruments.

Quick-MESS: A fast statistical tool for Exoplanet Imaging Surveys