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...
| Published in: | The Astronomical Journal |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2024-01-01
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| Subjects: | |
| Online Access: | https://doi.org/10.3847/1538-3881/ad4a76 |