DART-Vetter distinguishes planetary candidates from false positives detected in any transiting survey, and is tailored for photometric data collected from space-based missions. The Convolutional Neural Network is trained on Kepler and TESS Threshold Crossing Events (TCEs), and processes only light curves folded on the period of the relative signal. DART-Vetter has a simple and compact architecture; it is lightweight enough to be executed on personal laptops.

VSPEC (Variable Star PhasE Curve) simulates exoplanet observations. It combines NASA’s Planetary Spectrum Generator (PSG) with a custom variable star model. Originally built to simulate the infrared excess of non-transiting planets, VSPEC supports transit, eclipse, phase curve geometries as well as spots, faculae, flares, granulation, and the transit light source effect.