Machine Learning Inference of Stellar Properties Using Integrated Photometric and Spectroscopic Data
Stellar astrophysics relies on diverse observational modalities—primarily photometric light curves and spectroscopic data—from which fundamental stellar properties are inferred. While machine learning (ML) has advanced analysis within individual modalities, the complementary information encoded acro...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
IOP Publishing
2025-01-01
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| Colección: | The Astrophysical Journal |
| Materias: | |
| Acceso en línea: | https://doi.org/10.3847/1538-4357/ae0cbc |
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