What You Don’t Know Won’t Hurt You: Self-consistent Hierarchical Inference with Unknown Follow-up Selection Strategies
Many astronomical surveys prompt follow-up observations, but the decision process through which candidates are selected for follow-up can be difficult to model. This poses a challenge when inferring properties of the intrinsic population of astrophysical sources, rather than those of the set of obje...
Guardado en:
| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
IOP Publishing
2026-01-01
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| Colección: | The Astrophysical Journal |
| Materias: | |
| Acceso en línea: | https://doi.org/10.3847/1538-4357/ae974b |
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