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Improving the reliability of photometric redshift with machine learning
Oleksandra Razim, Stefano Cavuoti, Massimo Brescia, Giuseppe Riccio, Mara Salvato, Giuseppe Longo
Izvirni znanstveni članek
Oznake: astronomy;machine learning;photometric redshifts;
In order to answer the open questions of modern cosmology and galaxy evolution theory, robust algorithms for calculating photometric redshifts (photo-z) for very large samples of galaxies are needed. Correct estimation of the various photo-z algorithms’ performance requires attention to both the per ...
Leto: 2021 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
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