METAPHOR: a machine-learning-based method for the probability density estimation of photometric redshifts-Reference-Cited by-同舟云学术

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METAPHOR: a machine-learning-based method for the probability density estimation of photometric redshifts

Published:2016-11-14 Issue:2 Volume:465 Page:1959-1973
ISSN:0035-8711
Container-title:Monthly Notices of the Royal Astronomical Society
language:en
Short-container-title:Mon. Not. R. Astron. Soc.

Author:

Cavuoti S.,Amaro V.,Brescia M.,Vellucci C.,Tortora C.,Longo G.

Funder

MB and SC

NWO-VICI

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Reference52 articles.

1. Annis J. T. AAS Meeting, 221 2013:335.05.

2. CLASH-VLT: Environment-driven evolution of galaxies in thez= 0.209 cluster Abell 209

3. Submegaparsec individual photometric redshift estimation from cosmic web constraints

4. Measuring and modelling the redshift evolution of clustering: the Hubble Deep Field North

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