Iskalni niz:
išči po
išči po
išči po
išči po
Vrsta gradiva:
Jezik:
Št. zadetkov: 2
Photometric redshifts with machine learning, lights and shadows on a complex data science use case
Massimo Brescia, Stefano Cavuoti, Oleksandra Razim, Valeria Amaro, Giuseppe Riccio, Giuseppe Longo
Pregledni znanstveni članek
Oznake: astrophysics;instrumentation;methods;machine learning;photometric redshifts;
The importance of the current role of data-driven science is constantly increasing within Astrophysics, due to the huge amount of multi-wavelength data collected every day, characterized by complex and high-volume information requiring efficient and, as much as possible, automated exploration tools. ...
Leto: 2021 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
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)
Št. zadetkov: 2
Ključne besede:
Leto izdaje:
Avtorji:
Repozitorij:
Tipologija:
Jezik: