Photometric Completeness Modelled with Neural Networks
In almost any study involving optical/near-infrared photometry, understanding the completeness of detection and recovery is an essential part of the work. The recovery fraction is, in general, a function of several variables including magnitude, color, background sky noise, and crowding. We explore...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IOP Publishing
2024-01-01
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| coleção: | The Astronomical Journal |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.3847/1538-3881/ad4a76 |
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