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...
שמור ב:
| Principais autores: | , , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
EDP Sciences
2026-06-01
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| סדרה: | Astronomy & Astrophysics |
| נושאים: | |
| גישה מקוונת: | https://www.aanda.org/articles/aa/full_html/2026/06/aa59661-26/aa59661-26.html |
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