A multimodal amortized neural posterior estimator trained on realistic simulations recovers DEB parameters accurately with calibrated uncertainties on held-out tests.
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Spectral disentangling of ET Cru yields masses of 13.41 and 6.00 solar masses with 1.3% precision and shows the secondary has severe CNO-cycle chemical anomalies exceeding typical Algol systems.
Empirical zero-point constants for Gaia bolometric corrections are derived as weighted averages 0.8677, 1.0449, and 2.0510 mag for G, GBP, and GRP from 88 stars, yielding corresponding magnitude zero-points via IAU definitions.
A neural network classifies 20,196 TESS eclipsing binaries into 13,376 EA, 2,114 EB, and 4,706 EW systems after achieving 99% accuracy on held-out test data.
citing papers explorer
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Neural Simulation-based Inference with Hierarchical Priors for Detached Eclipsing Binaries
A multimodal amortized neural posterior estimator trained on realistic simulations recovers DEB parameters accurately with calibrated uncertainties on held-out tests.
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Spectral Disentangling Reveals Deep CNO-cycle Exposure in ET Cru
Spectral disentangling of ET Cru yields masses of 13.41 and 6.00 solar masses with 1.3% precision and shows the secondary has severe CNO-cycle chemical anomalies exceeding typical Algol systems.
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Spectroscopic Bolometric Corrections and Empirical Zero-point Constants of \textit{Gaia} Magnitudes, $G$, $G_{\rm BP}$, and $G_{\rm RP}$, from \textit{Gaia} XP Spectra
Empirical zero-point constants for Gaia bolometric corrections are derived as weighted averages 0.8677, 1.0449, and 2.0510 mag for G, GBP, and GRP from 88 stars, yielding corresponding magnitude zero-points via IAU definitions.
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The Phenomenological Classification of TESS Eclipsing Binaries
A neural network classifies 20,196 TESS eclipsing binaries into 13,376 EA, 2,114 EB, and 4,706 EW systems after achieving 99% accuracy on held-out test data.