A new chi-square morphology method plus CNN classifies Kepler eclipsing binaries at 90% accuracy and flags four new temporally varying systems linked to magnetic activity.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
fields
astro-ph.SR 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
VarWISE catalog identifies 457,080 high-confidence infrared variables (49.81% new) and an extended set of 1.9 million from NEOWISE photometry via spatial clustering, VARnet detection, and XGBoost classification.
Observational analysis of four nearly equal-mass detached eclipsing binaries shows diversity in evolutionary stage and magnetic activity, with new absolute parameters reported for each system.
citing papers explorer
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A New Methodology for Classifying Eclipsing Binaries with Kepler Data and Deep Learning
A new chi-square morphology method plus CNN classifies Kepler eclipsing binaries at 90% accuracy and flags four new temporally varying systems linked to magnetic activity.
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VarWISE: Infrared Variability via NEOWISE Single Exposure Photometry
VarWISE catalog identifies 457,080 high-confidence infrared variables (49.81% new) and an extended set of 1.9 million from NEOWISE photometry via spatial clustering, VARnet detection, and XGBoost classification.
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Diversity in Evolutionary Status and Magnetic Activity among Solar-Type Twin Detached Eclipsing Binaries
Observational analysis of four nearly equal-mass detached eclipsing binaries shows diversity in evolutionary stage and magnetic activity, with new absolute parameters reported for each system.