MSFA-Net applies multi-scale convolutions and soft frequency attention to LAMOST spectra, achieving high-precision BHB identification and adding 3583 new candidates to the catalog.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Review of UV spectroscopy applications to hot evolved stars, emphasizing HST contributions and the need for continued observations ahead of HWO.
citing papers explorer
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MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12
MSFA-Net applies multi-scale convolutions and soft frequency attention to LAMOST spectra, achieving high-precision BHB identification and adding 3583 new candidates to the catalog.
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Studying hot evolved stars with ultraviolet spectroscopy
Review of UV spectroscopy applications to hot evolved stars, emphasizing HST contributions and the need for continued observations ahead of HWO.