Accurate photometric redshift probability density estimation – method comparison and application | Zendy

Markus Michael Rau | Zendy; S. Seitz | Zendy; F. Brimioulle | Zendy; Eibe Frank | Zendy; Oliver Friedrich | Zendy; D. Gruen | Zendy; B. Hoyle | Zendy

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Accurate photometric redshift probability density estimation – method comparison and application

Author(s) -

Markus Michael Rau,

S. Seitz,

F. Brimioulle,

Eibe Frank,

Oliver Friedrich,

D. Gruen,

B. Hoyle

Publication year - 2015

Publication title -

monthly notices of the royal astronomical society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.058

H-Index - 383

eISSN - 1365-8711

pISSN - 0035-8711

DOI - 10.1093/mnras/stv1567

Subject(s) - redshift , photometric redshift , physics , astrophysics , galaxy , redshift survey , cosmic cancer database

We introduce an ordinal classification algorithm for photometric redshift estimation, which significantly improves the reconstruction of photometric redshift probability density functions (PDFs) for individual galaxies and galaxy samples. As a use case we apply our method to CFHTLS galaxies. The ordinal classification algorithm treats distinct redshift bins as ordered values, which improves the qu...

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