Catalog-based detection of unrecognized blends in deep optical ground based imaging
In deep, ground-based imaging, about 15%-30% of object detections are expected to correspond to two or more true objects - these are called "unrecognized blends''. We use Machine Learning algorithms to detect unrecognized blends in deep ground-based photometry using only catalog-level information: c...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Maynooth Academic Publishing
2026-05-01
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| Serie: | The Open Journal of Astrophysics |
| Accesso online: | https://doi.org/10.33232/001c.162504 |
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