Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case
Instrumentation and Methods for Astrophysics
2018-07-17 v2
Abstract
Astronomy has entered the big data era and Machine Learning based methods have found widespread use in a large variety of astronomical applications. This is demonstrated by the recent huge increase in the number of publications making use of this new approach. The usage of machine learning methods, however is still far from trivial and many problems still need to be solved. Using the evaluation of photometric redshifts as a case study, we outline the main problems and some ongoing efforts to solve them.
Cite
@article{arxiv.1802.07683,
title = {Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case},
author = {Massimo Brescia and Stefano Cavuoti and Valeria Amaro and Giuseppe Riccio and Giuseppe Angora and Civita Vellucci and Giuseppe Longo},
journal= {arXiv preprint arXiv:1802.07683},
year = {2018}
}
Comments
13 pages, 3 figures, Springer's Communications in Computer and Information Science (CCIS), Vol. 822