Improving Photometric Redshift Estimates with Training Sample Augmentation
Large imaging surveys will rely on photometric redshifts (photo- z 's), which are typically estimated through machine-learning methods. Currently planned spectroscopic surveys will not be deep enough to produce a representative training sample for Legacy Survey of Space and Time (LSST), so we seek m...
Sábháilte in:
| Príomhchruthaitheoirí: | , , , , , , |
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| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe / Cruthaithe: |
IOP Publishing
2024-01-01
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| Sraith: | The Astrophysical Journal Letters |
| Ábhair: | |
| Rochtain ar líne: | https://doi.org/10.3847/2041-8213/ad4039 |
| Clibeanna: |
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