Automated Vetting and Validation Pipeline for TESS

Presenting the ongoing development of a vetting and validation pipeline for TESS exoplanet candidates. The pipeline uses Machine Learning (ML) algorithms to separate planetary candidates from False Positives (FP). The ML models are trained on a synthetic training set of TESS lightcurves, where simulated transits of planets and astrophysical FPs ...