MESS (Multi-purpose Exoplanet Simulation System): A Monte Carlo tool for the statistical analysis and prediction of exoplanets search results
M. Bonavita, G. Chauvin, S. Desidera, R.Gratton, M. Janson, J.L., Beuzit, M. Kasper, C. Mordasini

TL;DR
The paper introduces MESS, a Monte Carlo simulation tool designed to analyze and predict exoplanet detection results, aiding interpretation of current data and planning future surveys with advanced telescopes.
Contribution
The paper presents MESS, a novel simulation system that generates synthetic exoplanet populations based on statistical and theoretical models for analysis and prediction.
Findings
Validated MESS with current exoplanet data
Predicted detection yields for future telescopes
Identified key parameter spaces for future surveys
Abstract
The high number of planet discoveries made in the last years provides a good sample for statistical analysis, leading to some clues on the distributions of planet parameters, like masses and periods, at least in close proximity to the host star. We likely need to wait for the extremely large telescopes (ELTs) to have an overall view of the extrasolar planetary systems. In this context it would be useful to have a tool that can be used for the interpretation of the present results,and also to predict what the outcomes would be of the future instruments. For this reason we built MESS: a Monte Carlo simulation code which uses either the results of the statistical analysis of the properties of discovered planets, or the results of the planet formation theories, to build synthetic planet populations fully described in terms of frequency, orbital elements and physical properties. They can…
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