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.
VISTA Variables in the V\'ia L\'actea (VVV): Halfway Status and Results
1 Pith paper cite this work. Polarity classification is still indexing.
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abstract
The VISTA Variables in the V\'ia L\'actea (VVV) survey is one of six public ESO surveys, and is now in its 4th year of observing. Although far from being complete, the VVV survey has already delivered many results, some directly connected to the intended science goals (detection of variables stars, microlensing events, new star clusters), others concerning more exotic objects, e.g. novae. Now, at the end of the fourth observing period, and comprising roughly 50% of the proposed observations, the actual status of the survey, as well some of the results based on the VVV data, are presented.
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astro-ph.SR 1years
2026 1verdicts
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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.