A LightGBM classifier trained on NWAY Bayesian matches identifies true Chandra-Gaia counterparts for 113k X-ray sources, flags 7k ambiguous cases, and attributes half of 20k separation-only matches to chance coincidences, validated at 95% on COUP without positional features.
S., Egeland , R., & van Saders , J
3 Pith papers cite this work. Polarity classification is still indexing.
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Tentative evidence for a super-Jupiter at 15-100 AU or brown dwarf at 20-170 AU in 51 Pegasi from RV curvature, but the signal is likely driven by Lick/Hamilton instrument drift.
Collates archival stellar activity and rotation data for potential HWO targets, finding measurements for at least 70% of high-interest systems but activity cycles for fewer than 20%.
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The Chandra-Gaia Catalog of Counterparts: Resolving ambiguous Gaia matches to X-ray sources in the Chandra Source Catalog using Machine Learning
A LightGBM classifier trained on NWAY Bayesian matches identifies true Chandra-Gaia counterparts for 113k X-ray sources, flags 7k ambiguous cases, and attributes half of 20k separation-only matches to chance coincidences, validated at 95% on COUP without positional features.