A single end-to-end Transformer model unifies stellar labels from heterogeneous spectroscopic surveys into a self-consistent scale without post-hoc recalibration.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Simulations demonstrate that timescale-based decoupling predictions overestimate separations by a factor of ~3, velocity-based criteria are more accurate, and low-viscosity disks produce decreasing accretion that may identify LISA hosts.
citing papers explorer
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Homogeneous Stellar Parameters from Heterogeneous Spectra with Deep Learning
A single end-to-end Transformer model unifies stellar labels from heterogeneous spectroscopic surveys into a self-consistent scale without post-hoc recalibration.
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The Decoupling of Binaries from Their Circumbinary Disks
Simulations demonstrate that timescale-based decoupling predictions overestimate separations by a factor of ~3, velocity-based criteria are more accurate, and low-viscosity disks produce decreasing accretion that may identify LISA hosts.