Gaia EB classification Cone Search
This resource provides the results of a morphological classification
of 2,184,283 eclipsing binary candidates from the Gaia DR3 catalogue.
The systems are classified into EA/EB and EW types, followed by the
identification of starspot signatures within both morphological
classes.
The classification was performed using a hierarchical computer-vision
pipeline based on a fine-tuned ResNet-18 convolutional neural network
trained on synthetic light curves generated with the ELISa code. The
phase-folded Gaia G-band light curves are represented as 3-channel
128×128 pixel images encoding the flux distribution, its polar
transformation, and the flux gradient.
A tailored augmentation scheme calibrated to the Gaia cadence
distribution was applied to reduce the synthetic-to-real domain gap
(in prep).
Because the morphological classification is based on single-passband
Gaia G photometry alone, EW and ellipsoidal systems cannot be reliably
distinguished. Therefore, systems with orbital periods P > 3 d
initially classified as EW are explicitly reassigned as "ellipsoidal",
since such long-period EW-type systems are physically unlikely for
main-sequence stars.