Photometric Redshift Analysis using Supervised Learning Algorithms and Deep Learning
We present a catalogue of galaxy photometric redshifts for the Sloan Digital Sky Survey (SDSS) Data Release 12. We use various supervised learning algorithms to calculate redshifts using photometric attributes on a spectroscopic training set. Two training sets are analysed in this paper. The first t...
| Glavni autori: | , |
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| Format: | Članak |
| Jezik: | English |
| Izdano: |
EDP Sciences
2019-01-01
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| Serija: | EPJ Web of Conferences |
| Online pristup: | https://www.epj-conferences.org/articles/epjconf/pdf/2019/11/epjconf_ismd18_09006.pdf |