Ariel mission planning

Abstract Automatic scheduling techniques are becoming a crucial tool for the efficient planning of large astronomical surveys. A specific method is being designed and developed Atmospheric Remote-sensing Infrared Exoplanet Large-survey ( Ariel ) mission based on hybrid meta-heuristic algorithm with global optimization capability to ensure obtaining satisfying results fulfilling all constraints. We used this simulate plan, assess feasibility its scientific goals, study outcome different science scenarios. conclude that will be able fulfill objectives, i.e. characterizing $$\sim$$ ∼ 1000 exoplanet atmospheres, total exposure time representing about 75–80% lifetime. demonstrate it possible include phase curve observations sample targets or increase number studied exoplanets within Finally, around 12–15% can still non-time constrained observations.