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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Pith papers citing it
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astro-ph.GA 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Derives stellar labels for 357k RVS giants via The Cannon and uses abundance-based logistic regression to tag GSE debris with consistent patterns after kinematic filtering.
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 GALAH Survey: Neutron-Capture Elemental Abundances for 350,000 Gaia-RVS Spectra and the Chemodynamics of Accreted Structures
Derives stellar labels for 357k RVS giants via The Cannon and uses abundance-based logistic regression to tag GSE debris with consistent patterns after kinematic filtering.