Video/Audio Open Access
Dévora-Pajares, Martín; Francisco J. Pozuelos; Juan C. Suárez; GARANAT Team
The arrival of space missions such as Kepler/K2 and TESS has revolutionized exoplanets' detection, producing a vast amount of data that scientists need to analyze. This situation will keep increasing shortly thanks to the ESA PLATO mission, mainly devoted to finding Earth-like planets orbiting Sun-like stars, which will be launched in 2025-2026 (Rauer et al. 2014). This poster presents SHERLOCK, a robust and easy-to-use end-to-end pipeline to search for planet candidates, vet signals, perform a statistical validation, bayesian fit, and compute observational windows from ground-based facilities to trigger a follow-up campaign. All these steps are executed with just a few lines of code, which makes SHERLOCK an optimal ready-to-use code for any planetary search program.