Orateur
Description
Microlensing is a type of gravitational lensing phenomenom that occurs in scales of stars and planets. It manifests as an achromatic increase in the brightness of a star due to a stellar companion or even an orbiting planet, being one of the methods to find exoplanets.
Although existing simulated datasets are an incredible asset for training machine learning models, they lack diversity for some transients. We aim here to build a comprehensive simulated microlensing lightcurve dataset, including several different types of microlensing and contaminants, expanding on PLAsTiCC and ELAsTiCC. We train a classifier to identify microlensing events among the contaminants, but also one that is able to identify which type of system produced the signal. These models will be implemented in Fink in the near future