TwinSpecNet: Extending APOGEE’s chemical reach to low-signal-to-noise spectra via empirical paired learning
Context. Large spectroscopic surveys rely on automated pipelines to deliver homogeneous stellar labels; however, a substantial fraction of observations are carried out at a low signal-to-noise ratio (S/N) where label estimates become imprecise or are omitted. In APOGEE, these low-S/N spectra visits...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
EDP Sciences
2026-06-01
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| Серія: | Astronomy & Astrophysics |
| Предмети: | |
| Онлайн доступ: | https://www.aanda.org/articles/aa/full_html/2026/06/aa59661-26/aa59661-26.html |
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