A single end-to-end Transformer model unifies stellar labels from heterogeneous spectroscopic surveys into a self-consistent scale without post-hoc recalibration.
Title resolution pending
4 Pith papers cite this work. Polarity classification is still indexing.
years
2026 4representative citing papers
New SOAR speckle data resolve 400+ previously unseen binary pairs and deliver orbital elements for 202 systems with quantified errors.
Negative Ca II IRT residual indices in FGK stars arise mainly because synthetic photospheric templates miss chromospheric structure and NLTE effects that deepen the observed cores.
PISP projects high-dimensional spectra into optimized subspaces using PCA or active subspaces plus L1 selection to raise accuracy and speed of stellar parameter inference over standard methods.
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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Speckle Interferometry at SOAR in 2024 and 2025
New SOAR speckle data resolve 400+ previously unseen binary pairs and deliver orbital elements for 202 systems with quantified errors.
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Revisiting Ca II Activity Indices in FGK Stars: Systematic Biases in Infrared Triplet Measurements
Negative Ca II IRT residual indices in FGK stars arise mainly because synthetic photospheric templates miss chromospheric structure and NLTE effects that deepen the observed cores.
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PISP: Projected-Space Inference of Stellar Parameters
PISP projects high-dimensional spectra into optimized subspaces using PCA or active subspaces plus L1 selection to raise accuracy and speed of stellar parameter inference over standard methods.