Automated Vetting and Validation Pipeline for TESS

Andreas Hadjigeorghiou - University of WarwickApr 12, 2021
Planet Detection
Transit Detection
Machine Learning
Statistical Validation
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 ...
You need to be logged in to ask a questionThere are no comments for this talk.