Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case

@inproceedings{Brescia2017DataDI,
  title={Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case},
  author={M. Brescia and S. Cavuoti and V. Amaro and G. Riccio and G. Angora and C. Vellucci and G. Longo},
  booktitle={DAMDID/RCDL},
  year={2017}
}
  • M. Brescia, S. Cavuoti, +4 authors G. Longo
  • Published in DAMDID/RCDL 2017
  • Computer Science, Physics
  • 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… CONTINUE READING
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    SHOWING 1-10 OF 60 REFERENCES
    The Astronomical Data Deluge: the Template Case of Photometric Redshifts
    • 6
    • PDF
    Neural networks and photometric redshifts
    • 25
    ArborZ: Photometric Redshifts Using Boosted Decision Trees
    • 90
    • PDF