Accurate photometric redshift probability density estimation – method comparison and application

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 ord...

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Veröffentlicht in:	Monthly notices of the Royal Astronomical Society 2015-10, Vol.452 (4), p.3710-3725
Hauptverfasser:	Rau, Markus Michael, Seitz, Stella, Brimioulle, Fabrice, Frank, Eibe, Friedrich, Oliver, Gruen, Daniel, Hoyle, Ben
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification Correlation analysis Estimates Galaxies Mathematical models Neural networks Photometry Probability density functions Red shift Star & galaxy formation
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