Augmenting machine learning photometric redshifts with Gaussian mixture models
Wide-area imaging surveys are one of the key ways of advancing our understanding of cosmology, galaxy formation physics, and the large-scale structure of the Universe in the coming years. These surveys typically require calculating redshifts for huge numbers (hundreds of millions to billions) of gal...
| Główni autorzy: | , , , , , , , |
|---|---|
| Format: | Journal article |
| Język: | English |
| Wydane: |
Oxford University Press
2020
|