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
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
N-body simulations demonstrate long-term dynamical stability of the HD 20794 system across a range of inclinations, with planet d identified as the lowest-mass high-eccentricity HZ-crossing planet.
citing papers explorer
-
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.
-
Dynamical Stability and Habitability in the HD 20794 System
N-body simulations demonstrate long-term dynamical stability of the HD 20794 system across a range of inclinations, with planet d identified as the lowest-mass high-eccentricity HZ-crossing planet.