Information on resource 'Morphological classification of eclipsing binaries from the Gaia'
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 detached and overcontact
configurations, 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, overcontact and ellipsoidal systems cannot be
reliably distinguished. Therefore, systems with orbital periods P > 3
d initially classified as overcontact are explicitly reassigned as
"ellipsoidal", since such long-period overcontact configurations are
physically unlikely for main-sequence stars.
Services defined within this resource descriptor
Tables defined within this resource descriptor
- upjs_gaia_eb.classification – queryable through TAP and ADQL
The table contains the results of morphological classification of eclipsing binaries and selected parameters
from Gaia DR3 (:bibcode: 2023A&A...674A...1G), including orbital periods, GSP-Phot effective temperatures, and sky coordinates.
Because the morphological classification is based on single-passband Gaia G photometry alone, overcontact and ellipsoidal
systems cannot be reliably distinguished. Therefore, systems with orbital periods P > 3 d initially classified as overcontact
are explicitly reassigned as "ellipsoidal", since such long-period overcontact configurations are physically unlikely
for main-sequence stars.
- upjs_gaia_eb.classification_raw
[Manage RD]